{"meta":{"query_hash":"3c499974b807","filters":{"topic":"Urban Transport and Accessibility"},"cohort_total":4461,"direct_labels_cover":8,"predictions_cover":4461,"exported":4461,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/3c499974b807","api":"https://metacan.xera.ac/api/v1/cohort?topic=Urban+Transport+and+Accessibility"},"results":[{"id":"W1011890545","doi":"10.1016/j.jaging.2015.07.002","title":"Walk-friendly suburbs for older adults? Exploring the enablers and barriers to walking in a large suburban municipality in Canada","year":2015,"lang":"en","type":"article","venue":"Journal of Aging Studies","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":95,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Neighbourhood (mathematics); Older people; Assisted Living Facility; Gerontology; Physical activity; Built environment; Walkability; Geography; Assisted living; Medicine; Engineering; Physical medicine and rehabilitation; Civil engineering","score_opus":0.056322645754767336,"score_gpt":0.3237430832907748,"score_spread":0.2674204375360074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1011890545","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99297386,0.0030804106,0.000010685544,0.0031257162,0.00047808376,0.00021823564,0.000004072971,0.000004166327,0.00010474187],"genre_scores_gemma":[0.99936473,0.0001650203,0.00009609325,0.00019467525,0.00012261965,0.000018522496,1.5488467e-7,0.0000059685544,0.000032219286],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99854195,0.0001347137,0.00042244178,0.00014473661,0.00035687018,0.0003992707],"domain_scores_gemma":[0.9990333,0.00029544788,0.00014570706,0.000094023046,0.00022331587,0.00020824092],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033496777,0.00010111356,0.0003037258,0.00009690245,0.00030845086,0.000040288134,0.00023926121,0.000018472647,0.0000031613085],"category_scores_gemma":[0.001147788,0.00007108056,0.00004339975,0.00032141517,0.00009157802,0.00039892865,0.00004653924,0.00019811389,5.1529113e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004721809,0.000010241719,0.7915994,0.000028583861,0.000025721796,0.000018843786,0.2067932,0.00003288411,0.000001007996,0.00006443524,0.00032592227,0.001052541],"study_design_scores_gemma":[0.0008769716,0.000027999173,0.46742094,0.00029375215,0.00001838328,4.403342e-7,0.5281495,0.000014317863,0.000027940478,0.00033856064,0.0027255928,0.00010562153],"about_ca_topic_score_codex":0.61600596,"about_ca_topic_score_gemma":0.98451227,"teacher_disagreement_score":0.3685063,"about_ca_system_score_codex":0.0007078743,"about_ca_system_score_gemma":0.0008790362,"threshold_uncertainty_score":0.3865511},"labels":[],"label_agreement":null},{"id":"W1013901496","doi":"","title":"Assessing Transportation Disadvantage and Public Transportation Opportunites in Rural Ontario: A Case Study of Huron County","year":2012,"lang":"en","type":"dissertation","venue":"The Atrium (University of Guelph)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Disadvantage; Disadvantaged; Public transport; Business; Economic growth; Transport engineering; Geography; Socioeconomics; Engineering; Political science; Sociology; Economics","score_opus":0.03987960866068715,"score_gpt":0.29357778610461316,"score_spread":0.25369817744392603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1013901496","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982052,0.00019326933,0.000017447446,0.00006182176,0.00017028254,0.0006763136,0.00006807799,0.00002320084,0.0005843829],"genre_scores_gemma":[0.9985241,0.00005639851,0.000032884698,0.0000026431003,0.000025256688,0.0000011056903,0.0007816942,0.000012756528,0.0005631362],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984466,0.00018981959,0.00037627292,0.00024597323,0.00047495755,0.00026636565],"domain_scores_gemma":[0.99875945,0.000117458025,0.00060262956,0.00021099368,0.00019954711,0.00010992215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007594923,0.00019261205,0.0004187952,0.00022423133,0.0004833653,0.000036766854,0.00030359274,0.00021372185,0.00022271309],"category_scores_gemma":[0.0000108339045,0.00019789596,0.00011591901,0.0004446642,0.00026109532,0.0015657269,0.0000036163133,0.0003194454,3.8982455e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012910194,0.00051099114,0.7561968,0.00014261308,0.000044931156,0.00012864296,0.2402877,0.0000028186048,0.0006358283,0.00011955341,0.0000041548747,0.0017968521],"study_design_scores_gemma":[0.0004246748,0.000044834782,0.57603675,0.000036589954,0.0002469465,5.0115534e-7,0.42299625,0.0000025703716,0.0000030821614,0.00004620041,0.00005253269,0.00010907035],"about_ca_topic_score_codex":0.71006817,"about_ca_topic_score_gemma":0.9881388,"teacher_disagreement_score":0.27807063,"about_ca_system_score_codex":0.00013591144,"about_ca_system_score_gemma":0.0004257508,"threshold_uncertainty_score":0.8069963},"labels":[],"label_agreement":null},{"id":"W103335820","doi":"","title":"Automated Analysis of Walking Behavior: A Case Study from Qatar","year":2015,"lang":"en","type":"article","venue":"Transportation Research Board 94th Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Pedestrian; Distraction; Data collection; Gait analysis; Gait; Preferred walking speed; Transport engineering; Computer science; Psychology; Physical medicine and rehabilitation; Engineering; Medicine; Cognitive psychology; Sociology","score_opus":0.1405473562681029,"score_gpt":0.4679435804413482,"score_spread":0.3273962241732453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W103335820","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9921715,0.00024460856,0.00020286354,0.00030688374,0.00023088862,0.003255422,0.0015394808,0.0006823473,0.0013659919],"genre_scores_gemma":[0.9965919,0.00005958105,0.0009937969,0.000021468371,0.00019647673,0.0006017874,0.0010798667,0.000075821,0.0003792598],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9817091,0.0041949274,0.0021421635,0.0015823962,0.0084066605,0.0019647516],"domain_scores_gemma":[0.98616815,0.0019497566,0.00044468098,0.0010582127,0.008819217,0.0015599931],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.017524805,0.0004693739,0.001150185,0.0033493317,0.001712188,0.00029524663,0.0012604004,0.00046925503,0.0007962031],"category_scores_gemma":[0.00092123804,0.000490427,0.0005050167,0.011889088,0.0019314165,0.0015118725,0.000022466906,0.0016909527,0.00004631933],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00057841325,0.0015201971,0.826088,0.000056259454,0.00067934237,0.003061703,0.16515648,0.000634548,0.00014619384,0.0003424556,0.00069306843,0.0010433068],"study_design_scores_gemma":[0.0015366963,0.0004665491,0.7219325,0.000052265965,0.0008567374,2.0994884e-7,0.27258375,0.0004246777,0.00013076518,0.00025646618,0.0013754633,0.0003839293],"about_ca_topic_score_codex":0.6376933,"about_ca_topic_score_gemma":0.74804854,"teacher_disagreement_score":0.11035528,"about_ca_system_score_codex":0.00046202712,"about_ca_system_score_gemma":0.0019879777,"threshold_uncertainty_score":0.9997547},"labels":[],"label_agreement":null},{"id":"W1042230276","doi":"","title":"From Montreal to Abu Dhabi: Formula 1 heads for new urban destinations.","year":2010,"lang":"en","type":"article","venue":"Espaces, Tourisme & Loisirs","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Abu dhabi; Destinations; Geography; Tourism; Archaeology; Metropolitan area","score_opus":0.01575527241693545,"score_gpt":0.3036139676893926,"score_spread":0.2878586952724571,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1042230276","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96865654,0.00023155975,0.005782915,0.0118793445,0.0012875515,0.0010435607,0.00012066087,0.0002805548,0.010717304],"genre_scores_gemma":[0.96471536,0.0000109779485,0.014967281,0.00036513168,0.0034571853,0.000068874346,0.00006510556,0.000033851575,0.016316209],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99799013,0.00004590072,0.00033762067,0.0005400966,0.0004572821,0.0006289531],"domain_scores_gemma":[0.99832684,0.00031831278,0.00012796205,0.00042903505,0.00014898338,0.00064885797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055224786,0.00022859962,0.0002968502,0.00014489656,0.00063121185,0.00023957096,0.0006162047,0.00024331734,0.0007100483],"category_scores_gemma":[0.00038614176,0.00022320589,0.00018428391,0.0005040726,0.00015575826,0.00051879237,0.00003579261,0.00028872432,0.00006596721],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017062572,0.00035677824,0.35768968,0.000022772792,0.0000667869,0.00001576124,0.06169764,0.000041712294,0.0012682992,0.0053072968,0.46483183,0.10853083],"study_design_scores_gemma":[0.0008949762,0.00009861352,0.30444172,0.00002574631,0.000053894997,2.4046457e-7,0.0010720642,0.00006822205,0.00060970086,0.022391845,0.6698693,0.00047370535],"about_ca_topic_score_codex":0.08047865,"about_ca_topic_score_gemma":0.24721791,"teacher_disagreement_score":0.20503746,"about_ca_system_score_codex":0.00009179887,"about_ca_system_score_gemma":0.00044077027,"threshold_uncertainty_score":0.9256445},"labels":[],"label_agreement":null},{"id":"W1069838147","doi":"","title":"Pedestrian Access to Transit: Identifying Redundancies and Gaps Using a Variable Service Area Analysis","year":2010,"lang":"en","type":"article","venue":"Transportation Research Board 89th Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":57,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transport engineering; Headway; Service (business); Metropolitan area; Transit (satellite); Public transport; Level of service; Pedestrian; Catchment area; Population; Geography; Engineering; Business; Cartography","score_opus":0.1453846560555973,"score_gpt":0.4552566772434079,"score_spread":0.3098720211878106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1069838147","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98286057,0.0001470419,0.0049989545,0.005785681,0.000331794,0.0025184422,0.000644916,0.0003145184,0.0023980713],"genre_scores_gemma":[0.990667,0.00017948216,0.0068480195,0.00029561415,0.0003679507,0.00032042759,0.00039030286,0.00009001496,0.000841212],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9870991,0.0013848436,0.0015046564,0.0018546284,0.005527788,0.002628972],"domain_scores_gemma":[0.9886217,0.0013512155,0.00025903844,0.00086372695,0.006556169,0.0023481606],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.013390584,0.0005296935,0.0008908644,0.0031687417,0.0042727077,0.0015998011,0.0017089859,0.00060861756,0.0015920114],"category_scores_gemma":[0.0011979884,0.0005759796,0.00032588167,0.0148305,0.0015460626,0.0031545777,0.00003427467,0.0027331915,0.00003908117],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011772629,0.00043025313,0.8964229,0.00081524265,0.00047418504,0.00013340739,0.07295781,0.0022415982,0.018181106,0.0049853367,0.0010281232,0.0011527443],"study_design_scores_gemma":[0.0013193754,0.00017038277,0.9387069,0.00024091967,0.00048036227,2.3216558e-7,0.027717642,0.00051085727,0.0014182141,0.0031661398,0.025386762,0.0008822606],"about_ca_topic_score_codex":0.21504052,"about_ca_topic_score_gemma":0.6776217,"teacher_disagreement_score":0.46258122,"about_ca_system_score_codex":0.00022973405,"about_ca_system_score_gemma":0.0022828889,"threshold_uncertainty_score":0.9996692},"labels":[],"label_agreement":null},{"id":"W1092079581","doi":"10.1016/j.amepre.2015.05.024","title":"Patterns of Walkability, Transit, and Recreation Environment for Physical Activity","year":2015,"lang":"en","type":"article","venue":"American Journal of Preventive Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":70,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Heart, Lung, and Blood Institute","keywords":"Walkability; Recreation; Built environment; Geography; Public transport; Physical activity; Multilevel model; Transport engineering; Demography; Medicine; Ecology; Physical therapy; Engineering; Statistics; Civil engineering","score_opus":0.03703145270544983,"score_gpt":0.34693359794321676,"score_spread":0.30990214523776694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1092079581","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97216797,0.00008046461,0.025618419,0.0017470892,0.00006511763,0.00018280852,0.000007738922,0.0000024539486,0.00012794857],"genre_scores_gemma":[0.9991467,0.000058530793,0.00044471928,0.000013582216,0.00025841055,0.0000027183396,0.0000012132052,0.000003764132,0.00007038602],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99904937,0.00020438114,0.00020742301,0.00010139559,0.0003345308,0.00010292312],"domain_scores_gemma":[0.9990638,0.00018887113,0.0004013989,0.0000677423,0.00012668404,0.0001515272],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012328072,0.00006527892,0.00034178927,0.00004015406,0.000041961022,0.000002982912,0.00009562339,0.000014839468,0.00002541447],"category_scores_gemma":[0.00014273754,0.000047188772,0.00007472622,0.00007650884,0.0006580853,0.0001630253,0.0000061933124,0.00007932874,1.2358849e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007660442,0.00063448556,0.5299939,0.000048532926,0.00010417126,0.0000026500318,0.04505696,0.00000570387,0.0017511554,0.00017928313,0.00007616444,0.42138094],"study_design_scores_gemma":[0.0017698712,0.00392552,0.96803784,0.00015791615,0.0002864599,0.0000013206536,0.017217988,0.000025741045,0.0015969701,0.004483866,0.0023838961,0.00011261742],"about_ca_topic_score_codex":0.00097201375,"about_ca_topic_score_gemma":0.00014236238,"teacher_disagreement_score":0.43804392,"about_ca_system_score_codex":0.00006173962,"about_ca_system_score_gemma":0.00008102707,"threshold_uncertainty_score":0.24247426},"labels":[],"label_agreement":null},{"id":"W1099432216","doi":"","title":"Subsiding subsidies and affordable fares : an international comparison of local transport subsidies [Published as: Local transport subsidies and affordable fares : international comparisons]","year":2001,"lang":"en","type":"book-chapter","venue":"Loughborough University Institutional Repository (Loughborough University)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Subsidy; Public transport; Public economics; Business; Affordable housing; Economics; Economic policy; Economic growth; Political science; Market economy","score_opus":0.023611850912462845,"score_gpt":0.2537891727481457,"score_spread":0.23017732183568287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1099432216","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25508252,0.0018248863,0.011552472,0.0008088464,0.0021998398,0.0009871637,0.0011116747,0.0005068046,0.7259258],"genre_scores_gemma":[0.9068724,0.0033318289,0.0006448344,0.00004925176,0.00043432086,0.0000017796458,0.0010771714,0.00006465421,0.08752377],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99369645,0.00022185004,0.0012397175,0.0018829311,0.0019832223,0.00097580545],"domain_scores_gemma":[0.995808,0.0003101118,0.0011045127,0.0007262351,0.0013544357,0.00069670257],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.00061482296,0.0011394995,0.0017296823,0.0011445506,0.0032894108,0.00021995686,0.0020823856,0.0012158827,0.0005838912],"category_scores_gemma":[0.000045734698,0.0013963463,0.0005877951,0.00058251084,0.007504573,0.005615805,0.0003293601,0.0012379789,0.000010278508],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0033417884,0.00096302596,0.342924,0.0004185468,0.001864535,0.002827604,0.015547359,0.002022868,0.00008092738,0.6272818,0.0006107231,0.0021168294],"study_design_scores_gemma":[0.003294656,0.00040700147,0.03754327,0.00087179785,0.0012821805,0.00009193654,0.06240559,0.0004262497,0.0005524366,0.0023977032,0.88852286,0.0022043437],"about_ca_topic_score_codex":0.01892507,"about_ca_topic_score_gemma":0.040325016,"teacher_disagreement_score":0.8879121,"about_ca_system_score_codex":0.0016697721,"about_ca_system_score_gemma":0.0017823228,"threshold_uncertainty_score":0.9988486},"labels":[],"label_agreement":null},{"id":"W1111738352","doi":"10.1061/(asce)te.1943-5436.0000072","title":"Including Minor Modes of Transport in a Tour-Based Mode Choice Model with Household Interactions","year":2009,"lang":"en","type":"article","venue":"Journal of Transportation Engineering","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Mode choice; Public transport; Transport engineering; TRIPS architecture; Mode (computer interface); Travel behavior; Sample (material); Service (business); Process (computing); Computer science; Operations research; Engineering; Business; Marketing","score_opus":0.03856002716406693,"score_gpt":0.3036596445574683,"score_spread":0.2650996173934014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1111738352","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8841307,0.000048981237,0.11528228,0.00020182945,0.000047249036,0.00009853113,0.000019645384,0.000024702102,0.00014605177],"genre_scores_gemma":[0.9906061,0.000010944609,0.009259349,0.000026020516,0.000057245616,0.000002369391,0.0000073532665,0.00001184324,0.000018758],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9986543,0.000012530956,0.000637885,0.000113927206,0.00038858393,0.0001927748],"domain_scores_gemma":[0.9993566,0.0000614791,0.00026339164,0.000081688675,0.00013786176,0.00009893567],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030171958,0.00012253286,0.00028466695,0.0003141956,0.000055267537,0.000011464346,0.00017519666,0.0000604263,0.000012637458],"category_scores_gemma":[0.000014492462,0.000113487156,0.00012918001,0.00040492666,0.000033595687,0.0007718119,2.8709127e-7,0.0002558833,5.00418e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009761159,0.00014437515,0.11321353,0.000038665246,0.000014226428,0.000014834269,0.003436298,0.87633073,0.006281042,0.00023472622,0.0000025822774,0.00019135013],"study_design_scores_gemma":[0.0018376735,0.00015408614,0.8484721,0.0006497436,0.0001526581,8.554463e-7,0.00078794843,0.14029591,0.006955403,0.00021116709,0.00015415551,0.00032828306],"about_ca_topic_score_codex":0.00040171453,"about_ca_topic_score_gemma":0.0055829138,"teacher_disagreement_score":0.73603487,"about_ca_system_score_codex":0.00008722005,"about_ca_system_score_gemma":0.00020763744,"threshold_uncertainty_score":0.4627872},"labels":[],"label_agreement":null},{"id":"W1141960892","doi":"","title":"Promoting Safe Use of Roads and Pathways for Active Transportation - A Review of Canadian Promising Practices","year":2014,"lang":"en","type":"review","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Enforcement; Business; Agency (philosophy); Sustainability; Population; Best practice; Occupational safety and health; Sustainable transport; Public health; Environmental planning; Public relations; Environmental health; Political science; Medicine; Geography; Nursing","score_opus":0.1907524759175437,"score_gpt":0.40237291774124057,"score_spread":0.21162044182369685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1141960892","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0003218095,0.99366087,0.000029934634,0.00012933342,0.000056587705,0.0033742525,0.00027816108,0.000013821734,0.0021352351],"genre_scores_gemma":[0.0006612852,0.99764466,0.0012155412,0.00003488334,0.000057489357,0.00008820836,0.00018566365,0.00001693015,0.000095364616],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980743,0.00023952997,0.00087934884,0.0003321188,0.00023345352,0.0002412526],"domain_scores_gemma":[0.9966388,0.00056194427,0.0021765626,0.0001702266,0.00028944892,0.00016302381],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016873806,0.00019343593,0.0013187114,0.00020285815,0.00017008792,0.000033399956,0.00018177774,0.0002096144,0.0000638963],"category_scores_gemma":[0.001020159,0.00015232066,0.0002840535,0.00052215083,0.00015394871,0.000553785,0.0000026807534,0.00013374176,2.8710411e-7],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000030979795,0.00002538988,0.0002814842,0.22093607,0.000054987875,4.87299e-7,0.0026496204,6.467665e-9,5.04954e-7,0.00085122825,0.000045514913,0.7751516],"study_design_scores_gemma":[0.000057735044,0.00002885348,0.00027477444,0.06980932,0.00089125504,1.2099746e-7,0.00010938619,0.0000012078891,0.000004628444,0.0000752496,0.9285833,0.00016414275],"about_ca_topic_score_codex":0.19973177,"about_ca_topic_score_gemma":0.55879045,"teacher_disagreement_score":0.92853785,"about_ca_system_score_codex":0.00007197683,"about_ca_system_score_gemma":0.0018051829,"threshold_uncertainty_score":0.8055973},"labels":[],"label_agreement":null},{"id":"W114773998","doi":"","title":"Evaluating pedestrian priority street potential in Yaletown, Vancouver, B.C.","year":2008,"lang":"en","type":"dissertation","venue":"Summit (Simon Fraser University)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Pedestrian; Transport engineering; Geography; Cartography; Engineering","score_opus":0.026805666909670782,"score_gpt":0.2934404628703876,"score_spread":0.2666347959607168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W114773998","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9592685,0.00017741053,0.000016460539,0.000027991213,0.0017267648,0.00054206944,0.00005564745,0.00012923403,0.0380559],"genre_scores_gemma":[0.9644414,0.00041340728,0.00012502744,0.000016071626,0.00030474397,0.0000014686251,0.0005082161,0.00002663388,0.03416304],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99703294,0.0003621192,0.00038065712,0.00075937976,0.00087423803,0.00059068407],"domain_scores_gemma":[0.9987361,0.00008082441,0.0003423113,0.000354266,0.0002573288,0.00022916599],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00046563055,0.0003421976,0.00047528057,0.00054518605,0.0007990653,0.000057585574,0.0008362186,0.00068879203,0.00053480326],"category_scores_gemma":[0.000114541675,0.0004323918,0.00027422217,0.0012319505,0.00026388487,0.00068101153,0.000033652024,0.00073299976,0.000019685263],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023321762,0.00018684677,0.9901168,0.00008277035,0.00003319753,0.00040740264,0.00057816727,0.00004389494,0.0000019757272,0.000093485425,0.004360334,0.0038619218],"study_design_scores_gemma":[0.005134074,0.00023037309,0.31268364,0.00050843,0.0005566699,8.9934826e-10,0.45480508,0.00013792129,0.00026165493,0.00096866756,0.22246674,0.0022467596],"about_ca_topic_score_codex":0.042077933,"about_ca_topic_score_gemma":0.9892137,"teacher_disagreement_score":0.9471358,"about_ca_system_score_codex":0.00057577464,"about_ca_system_score_gemma":0.001446872,"threshold_uncertainty_score":0.9998128},"labels":[],"label_agreement":null},{"id":"W115143935","doi":"","title":"Assessing the actual risks faced by cyclists","year":2002,"lang":"en","type":"article","venue":"Traffic engineering & control","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cycling; TRIPS architecture; Transport engineering; Quarter (Canadian coin); Occupational safety and health; Flexibility (engineering); Business; Engineering; Medicine; Economics; Geography","score_opus":0.033511299406568426,"score_gpt":0.30432565697306346,"score_spread":0.270814357566495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W115143935","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9873355,0.0007655639,0.0073412745,0.0013759013,0.00048235324,0.0002730922,0.000010387812,0.00041955398,0.001996347],"genre_scores_gemma":[0.99898446,0.000016045695,0.00005485357,0.000105355466,0.00025006186,0.000019545841,0.000002953783,0.000016389307,0.0005503385],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9988027,0.00005964711,0.00020747611,0.00021565982,0.00029861336,0.00041588666],"domain_scores_gemma":[0.999323,0.00028435877,0.00005130754,0.00019698903,0.000030168834,0.00011419349],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046600754,0.0001427267,0.0001801384,0.000027512493,0.0003600585,0.0002449822,0.00033642395,0.00009843698,0.0003477058],"category_scores_gemma":[0.00013452896,0.000109911736,0.000097888864,0.0001893366,0.00011055871,0.00035457007,0.000005230775,0.00025669773,0.000036184367],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008146023,0.0018128902,0.10896553,0.0002548289,0.0010073622,0.00012263772,0.09474485,0.28175342,0.024664605,0.005126638,0.06343589,0.41802987],"study_design_scores_gemma":[0.0049190517,0.00007262393,0.38203922,0.00011310347,0.00033151885,0.0000019625845,0.0033623502,0.3782017,0.00025781346,0.00005059327,0.22900583,0.0016442578],"about_ca_topic_score_codex":0.00019149526,"about_ca_topic_score_gemma":0.00010901047,"teacher_disagreement_score":0.41638562,"about_ca_system_score_codex":0.000059140206,"about_ca_system_score_gemma":0.000020394438,"threshold_uncertainty_score":0.44820705},"labels":[],"label_agreement":null},{"id":"W1172854966","doi":"10.71781/3144","title":"Les stratégies visant à améliorer l’acceptabilité des voies de contournement dans les petites municipalités du Québec : le cas de quatre municipalités le long de la route 117 dans la région des Laurentides","year":2013,"lang":"fr","type":"dissertation","venue":"Open MIND","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Art; Political science","score_opus":0.0435827506086874,"score_gpt":0.3440493580697428,"score_spread":0.3004666074610554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1172854966","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95075023,0.0045680585,0.00019423693,0.00042663308,0.0001577223,0.0011570716,0.00020213622,0.000031397693,0.042512536],"genre_scores_gemma":[0.976643,0.00073493324,0.004523022,0.000014272576,0.00021332047,0.00030395872,0.00063665916,0.000103038095,0.016827783],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9928587,0.002651458,0.0012936795,0.0011343898,0.00062893867,0.0014328215],"domain_scores_gemma":[0.9960735,0.0015551795,0.0006848842,0.00078342383,0.00038744867,0.0005155876],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.0035662693,0.00094272156,0.0010675364,0.00016341665,0.0032957597,0.0019993642,0.0025204339,0.00094740925,0.0026908838],"category_scores_gemma":[0.00050118135,0.00091531815,0.00059235294,0.00047539204,0.0052826665,0.0018020072,0.0002522012,0.0008490512,0.00003290815],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000078964134,0.0006968941,0.60898495,0.00029556872,0.00022647696,0.000059481965,0.3618503,0.00031773123,0.002358045,0.0025715174,0.00004242777,0.022517653],"study_design_scores_gemma":[0.00056282786,0.00008402993,0.5699123,0.00071107445,0.00042294507,0.000009040962,0.40967125,0.00027289285,0.011590693,0.0010989164,0.004964538,0.0006994601],"about_ca_topic_score_codex":0.9814653,"about_ca_topic_score_gemma":0.99667287,"teacher_disagreement_score":0.04782097,"about_ca_system_score_codex":0.0015578379,"about_ca_system_score_gemma":0.0051157707,"threshold_uncertainty_score":0.99932975},"labels":[],"label_agreement":null},{"id":"W1173968672","doi":"","title":"Building the Iron Horse: The Evolving Transportation and Land Use Planning Philosophy towards Calgary's Light Rail Transit System","year":2013,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transit (satellite); Light rail transit; Transport engineering; Light rail; Rail transit; Land use; Transportation planning; Environmental planning; Engineering; Geography; Business; Civil engineering; Public transport","score_opus":0.015636355829087477,"score_gpt":0.22695156677907727,"score_spread":0.21131521094998978,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1173968672","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99545944,0.00064087275,0.000067342604,0.0019818693,0.0003033758,0.00062244304,0.000035075478,0.00008144554,0.00080815144],"genre_scores_gemma":[0.97300035,0.00008803031,0.00022131517,0.000012155479,0.000114532486,0.0000017530249,0.00015031364,0.000019970767,0.02639161],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.998454,0.0001703765,0.00018936273,0.0003819881,0.0004962126,0.0003080689],"domain_scores_gemma":[0.99910504,0.000087119326,0.00028027696,0.00024882675,0.00017538697,0.00010334652],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0004437853,0.00024091383,0.00035039897,0.000106740285,0.0013867641,0.0001522463,0.0005097071,0.00032036085,0.00007982238],"category_scores_gemma":[0.000010467699,0.00017893239,0.00017180403,0.00023216102,0.0002654957,0.000804057,0.000008262242,0.0003589152,0.000003659102],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022748219,0.000040981347,0.040074166,0.00094924035,0.00014864652,0.000042004453,0.95245767,0.000048029233,0.0008682796,0.0030114711,0.00044055944,0.0016914669],"study_design_scores_gemma":[0.0007330779,0.00007080858,0.5464602,0.0010893601,0.0008009962,6.469976e-7,0.44757944,0.00026738222,0.00024749734,0.0004488354,0.0017269894,0.0005747292],"about_ca_topic_score_codex":0.2322617,"about_ca_topic_score_gemma":0.17412893,"teacher_disagreement_score":0.5063861,"about_ca_system_score_codex":0.000089396446,"about_ca_system_score_gemma":0.0001126085,"threshold_uncertainty_score":0.9999133},"labels":[],"label_agreement":null},{"id":"W1212193483","doi":"","title":"Les différentes perceptions d'accessibilité aux services pour les sourds à Montréal : l'accessibilité spatiale, les coûts, l'organisation des ressources, la disponibilité et l'acceptabilité.","year":2015,"lang":"fr","type":"article","venue":"EspaceINRS Institutional Digital Repository (Institut National de la Recherche Scientifique)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.12533464166002867,"score_gpt":0.3707567662771402,"score_spread":0.24542212461711155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1212193483","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8196657,0.0081482725,0.0110880295,0.003303326,0.001504756,0.0010933724,0.00076184946,0.00046856367,0.15396614],"genre_scores_gemma":[0.95539206,0.00047699944,0.008057424,0.0001433163,0.0011497524,0.00020028479,0.0005578176,0.00008821367,0.033934113],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98558164,0.0058589047,0.0017718397,0.0021783838,0.0033881871,0.0012210638],"domain_scores_gemma":[0.9895446,0.0045209737,0.00081318145,0.000843386,0.00308952,0.0011883808],"candidate_categories":["metaresearch","metaepi_narrow","sts","scholarly_communication","research_integrity"],"consensus_categories":["sts"],"category_scores_codex":[0.0118097095,0.001060902,0.00082043745,0.00056892936,0.0043976908,0.003564758,0.001729092,0.002041631,0.00044566832],"category_scores_gemma":[0.008951903,0.0010538348,0.0007605321,0.0020137283,0.012460765,0.007251774,0.00038776916,0.0022659423,0.00010648022],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.00038768165,0.0033626303,0.7621419,0.001043536,0.00026183028,0.000100242614,0.03236512,0.008296867,0.0026820707,0.14526741,0.0008734898,0.043217253],"study_design_scores_gemma":[0.0021336118,0.00013076841,0.735705,0.001646737,0.00030463497,0.00015468006,0.014449433,0.0043802205,0.0014824073,0.094006345,0.14378081,0.0018253013],"about_ca_topic_score_codex":0.03179565,"about_ca_topic_score_gemma":0.028489284,"teacher_disagreement_score":0.14290732,"about_ca_system_score_codex":0.006167299,"about_ca_system_score_gemma":0.010573772,"threshold_uncertainty_score":0.9993961},"labels":[],"label_agreement":null},{"id":"W123377172","doi":"10.1007/978-3-662-04027-0_9","title":"Who’s Up? Global Interpersonal Temporal Accessibility","year":2000,"lang":"en","type":"book-chapter","venue":"Advances in spatial science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Phone; Population; Media studies; History; Geography; Engineering; Telecommunications; Sociology","score_opus":0.01848910128042218,"score_gpt":0.3403275933989526,"score_spread":0.3218384921185304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W123377172","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01566251,0.0020517877,0.00028840153,0.00021034565,0.0020538142,0.0005460414,0.00013131484,0.000121810735,0.978934],"genre_scores_gemma":[0.95018446,0.0010737124,0.00027902916,0.00016956372,0.0005816344,0.000013554925,0.00001959742,0.000017707644,0.04766072],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99508816,0.000059144524,0.0007207415,0.001442227,0.0017950378,0.000894696],"domain_scores_gemma":[0.9984517,0.000080065285,0.00034223622,0.0005723714,0.0001842217,0.00036937828],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015301978,0.00042835306,0.0005727154,0.00016079568,0.0007715867,0.00026957598,0.0022929972,0.0003453212,0.004300953],"category_scores_gemma":[0.0001384181,0.00040884584,0.00019418218,0.0005246275,0.0065204985,0.0028581982,0.00016412712,0.0005527042,0.00009751195],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022179575,0.00009025042,0.43138823,0.000057071666,0.0000060348584,0.000052288062,0.0025194702,0.000015084443,0.0000027465614,0.08546007,0.00010055033,0.48008642],"study_design_scores_gemma":[0.00059066236,0.00010109283,0.07434755,0.00049678504,0.00003039817,0.0000011016795,0.00025080683,0.00006280938,0.000018821458,0.37553245,0.5473485,0.0012190328],"about_ca_topic_score_codex":0.010145055,"about_ca_topic_score_gemma":0.17573366,"teacher_disagreement_score":0.934522,"about_ca_system_score_codex":0.0011457719,"about_ca_system_score_gemma":0.0018215188,"threshold_uncertainty_score":0.9998363},"labels":[],"label_agreement":null},{"id":"W124411441","doi":"","title":"Microsimulating Residential Mobility and Spatial Search Behavior: Estimation of Continuous-Time Hazard and Discrete-Time Panel Logit Models for Residential Mobility","year":2008,"lang":"en","type":"article","venue":"Transportation Research Board 87th Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Random effects model; Econometrics; Logit; Mixed logit; Panel data; Hazard; Discrete choice; Duration (music); Statistics; Estimation; Parametric statistics; Logistic regression; Multilevel model; Computer science; Economics; Mathematics","score_opus":0.07875404281297609,"score_gpt":0.3900384895630609,"score_spread":0.3112844467500848,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W124411441","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9852817,0.00028826483,0.005889727,0.0006177335,0.00009989132,0.0056733936,0.0016274865,0.00020705405,0.00031474596],"genre_scores_gemma":[0.9933263,0.00032308965,0.0036693132,0.000015860956,0.00022703788,0.00065191014,0.00079258875,0.00009019505,0.0009036716],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98716944,0.0021554683,0.0021434189,0.0018408957,0.004682016,0.0020087347],"domain_scores_gemma":[0.9901963,0.0027892247,0.00041436678,0.0007104894,0.0049510584,0.000938593],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.013368007,0.0005334583,0.0011177356,0.00093011255,0.0033211017,0.00029648462,0.0007796716,0.0006482598,0.0003305769],"category_scores_gemma":[0.0011113391,0.00057456555,0.00035356713,0.0013362089,0.005638,0.0021169418,0.00004406574,0.0013880071,0.000015086191],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.007793194,0.0017946496,0.87297285,0.0022068126,0.00022638889,0.0001535135,0.077868395,0.00833554,0.017235784,0.0021104463,0.00082218397,0.008480242],"study_design_scores_gemma":[0.0030280119,0.00083776796,0.96763057,0.0002638546,0.000147862,5.983735e-7,0.0070367986,0.011172483,0.004438691,0.004584627,0.00018338484,0.00067534356],"about_ca_topic_score_codex":0.11066902,"about_ca_topic_score_gemma":0.04807562,"teacher_disagreement_score":0.09465773,"about_ca_system_score_codex":0.00025084446,"about_ca_system_score_gemma":0.0013664253,"threshold_uncertainty_score":0.99967057},"labels":[],"label_agreement":null},{"id":"W125594666","doi":"","title":"How Does Land Use Influence Cyclist Route Choice? Geospatial Analysis of Commuter Routes and Cycling Facilities","year":2011,"lang":"en","type":"article","venue":"Transportation Research Board 90th Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geospatial analysis; Cycling; Transport engineering; Land use; Sample (material); Work (physics); Resource (disambiguation); Geography; Variety (cybernetics); Environmental resource management; Computer science; Environmental planning; Environmental science; Cartography; Engineering; Civil engineering; Forestry","score_opus":0.09213109098004739,"score_gpt":0.37894352226389477,"score_spread":0.28681243128384737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W125594666","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9939871,0.00017570541,0.000376583,0.00092226925,0.00011553904,0.0013382933,0.0022080662,0.00018040567,0.00069604994],"genre_scores_gemma":[0.9948898,0.00054949545,0.0014976948,0.000041903528,0.00012095944,0.00019881439,0.00057756575,0.000048384383,0.0020753904],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9898411,0.0016961674,0.001357519,0.0012108806,0.0041783787,0.0017159743],"domain_scores_gemma":[0.99077433,0.002567128,0.00038529377,0.0007325655,0.004575169,0.0009655182],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0064902524,0.0004382461,0.00093553966,0.00200588,0.0017930507,0.00058492477,0.0009942199,0.000444561,0.00046773712],"category_scores_gemma":[0.0015940762,0.00038865767,0.00039350745,0.003988268,0.003730642,0.0034589893,0.000024841585,0.0014102343,0.000006023018],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005263719,0.00023083216,0.9194326,0.0002936945,0.00040021382,0.00003862607,0.07552569,0.00012957318,0.00032977326,0.0021314402,0.000058249032,0.00090292894],"study_design_scores_gemma":[0.00073975604,0.00018840001,0.96450627,0.00012921587,0.00028603597,2.1817238e-8,0.027269287,0.00008865971,0.0007655938,0.0009671775,0.004643052,0.00041652142],"about_ca_topic_score_codex":0.4247035,"about_ca_topic_score_gemma":0.71172714,"teacher_disagreement_score":0.28702363,"about_ca_system_score_codex":0.00014776333,"about_ca_system_score_gemma":0.00061301456,"threshold_uncertainty_score":0.99985653},"labels":[],"label_agreement":null},{"id":"W1265405808","doi":"","title":"Mobility Tool Ownership and Peak Period Non-Work Travel Mode Choice","year":2012,"lang":"en","type":"article","venue":"Transportation Research Board 91st Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"TRIPS architecture; Mode choice; Car ownership; Work (physics); Discrete choice; Context (archaeology); Mode (computer interface); Econometrics; Demographic economics; Population; Preference; Economics; Transport engineering; Geography; Public transport; Microeconomics; Computer science; Engineering; Demography","score_opus":0.08407936181728813,"score_gpt":0.4129384469751384,"score_spread":0.32885908515785023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1265405808","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98581964,0.0006686796,0.00040355633,0.0030259746,0.0003769345,0.0028933228,0.00043208958,0.0002896779,0.0060901465],"genre_scores_gemma":[0.99304754,0.00042545187,0.0010714491,0.00009149109,0.0010137096,0.0006974162,0.0004152535,0.000114474766,0.0031232005],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98453116,0.0022913734,0.0015820842,0.0015643965,0.006250818,0.0037801408],"domain_scores_gemma":[0.9914191,0.002097649,0.00026072602,0.0008904875,0.0035345873,0.0017974757],"candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.017458638,0.0006095428,0.0008160916,0.0010472741,0.003708542,0.0004928225,0.0011611702,0.0007335288,0.001131958],"category_scores_gemma":[0.0011411414,0.0006104126,0.00036371313,0.0038081177,0.0038121205,0.003124567,0.0000242626,0.0027923628,0.00014976496],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00075632404,0.00077263825,0.90131855,0.00045914343,0.000079893536,0.000033065633,0.08596622,0.00004413459,0.000935213,0.004926881,0.0018380514,0.002869914],"study_design_scores_gemma":[0.0011956823,0.00019115586,0.9405848,0.00018824937,0.000058838847,1.104705e-7,0.037426256,0.000031300147,0.0005162133,0.0009144146,0.018230233,0.00066275016],"about_ca_topic_score_codex":0.06755698,"about_ca_topic_score_gemma":0.08637455,"teacher_disagreement_score":0.048539966,"about_ca_system_score_codex":0.0004562115,"about_ca_system_score_gemma":0.0011429137,"threshold_uncertainty_score":0.99978113},"labels":[],"label_agreement":null},{"id":"W128057198","doi":"10.1007/978-3-642-14616-9_29","title":"The Effect of Standardization in Multicriteria Decision Analysis on Health Policy Outcomes","year":2010,"lang":"en","type":"book-chapter","venue":"Smart innovation, systems and technologies","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Multiple-criteria decision analysis; Standardization; Ranking (information retrieval); Decision analysis; Geographic information system; Prioritization; Neighbourhood (mathematics); Computer science; Population health; Operations research; Population; Management science; Geography; Environmental health; Medicine; Engineering; Cartography; Statistics; Mathematics","score_opus":0.015932105941036268,"score_gpt":0.3385341277547783,"score_spread":0.32260202181374203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W128057198","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9094855,0.005293701,0.0048126783,0.019174492,0.0029419984,0.00638269,0.00064660853,0.0013004546,0.049961835],"genre_scores_gemma":[0.9957822,0.0004326498,0.00006844666,0.000012358194,0.00004147065,0.000026079733,0.00004186748,0.000011733472,0.0035832066],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99824846,0.000055788998,0.0008095839,0.00028663717,0.00040598278,0.00019355219],"domain_scores_gemma":[0.9982252,0.00045748823,0.00061570166,0.0004148458,0.00027230915,0.000014442749],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023772789,0.00019335048,0.0006333478,0.0011968336,0.00047329813,0.00010600631,0.00026525644,0.0004769117,0.0000042187194],"category_scores_gemma":[0.0008687297,0.00012024868,0.00007811637,0.0011470318,0.0005280219,0.00009082249,0.000037936814,0.00030321596,8.063297e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004028415,0.000008614373,0.43810993,0.000116419804,0.00014075328,6.724977e-7,0.0003470736,0.000005911807,0.000011082291,0.51063293,0.000082625804,0.05050368],"study_design_scores_gemma":[0.0018533164,0.0009073456,0.40620935,0.001487775,0.0003151069,4.769147e-7,0.0027985077,0.000055755252,0.00048712466,0.14682205,0.43798125,0.0010819333],"about_ca_topic_score_codex":0.004611811,"about_ca_topic_score_gemma":0.018223401,"teacher_disagreement_score":0.43789864,"about_ca_system_score_codex":0.0001337288,"about_ca_system_score_gemma":0.00016454306,"threshold_uncertainty_score":0.9996915},"labels":[],"label_agreement":null},{"id":"W130130708","doi":"","title":"Citizen Participation for Sustainable Transport: Role of Self-organizing Civil Society Organizations to Innovate in Complex City and Transport Planning Systems","year":2013,"lang":"en","type":"article","venue":"Transportation Research Board 92nd Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Civil society; Institution; Urban planning; Transportation planning; Corporate governance; Sustainable transport; Public administration; Public transport; Political science; Public relations; Opposition (politics); Sociology; Economic growth; Sustainability; Politics; Engineering; Management; Economics; Social science; Civil engineering","score_opus":0.0614846762294255,"score_gpt":0.39160857218448847,"score_spread":0.330123895955063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W130130708","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9872771,0.00023189788,0.0021024565,0.0017343643,0.00006562378,0.006432236,0.0003977683,0.00027372068,0.0014848228],"genre_scores_gemma":[0.9936209,0.00013341011,0.0027230326,0.00006366303,0.00017167993,0.0015409456,0.00081993203,0.000110044086,0.00081641285],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9906673,0.000636769,0.0020296837,0.0012794293,0.0030139058,0.0023729098],"domain_scores_gemma":[0.9872911,0.0010935563,0.00031556393,0.00046118864,0.010012993,0.0008255746],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.008124207,0.0004575075,0.000866494,0.001310845,0.0019034795,0.00024921674,0.00075771817,0.0004758029,0.0003552446],"category_scores_gemma":[0.0004430794,0.0005089935,0.000202016,0.006855329,0.0010052082,0.0019616466,0.000014148721,0.0010410966,0.00001144586],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030175174,0.00051364134,0.8314143,0.0011776214,0.00009781052,0.000022837392,0.1438868,0.0018399033,0.0053306203,0.01429254,0.0008899922,0.00023221156],"study_design_scores_gemma":[0.0014367548,0.00028998876,0.87576944,0.00025360702,0.000054408418,6.390125e-8,0.109213,0.00049148937,0.00083798595,0.0028601584,0.008302364,0.00049076154],"about_ca_topic_score_codex":0.0825108,"about_ca_topic_score_gemma":0.058571123,"teacher_disagreement_score":0.044355154,"about_ca_system_score_codex":0.0004059007,"about_ca_system_score_gemma":0.0010807719,"threshold_uncertainty_score":0.9997362},"labels":[],"label_agreement":null},{"id":"W132653049","doi":"","title":"Analysis of Bicycling Trends and Policies in Large North American Cities: Lessons for New York","year":2011,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cycling; Fell; Geography; Transport engineering; Engineering; Cartography; Archaeology","score_opus":0.08444096097866273,"score_gpt":0.3504639776589705,"score_spread":0.2660230166803078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W132653049","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98759353,0.000046190144,0.00052075734,0.0003630367,0.000015676489,0.00004695342,0.00004197511,0.000019437462,0.011352427],"genre_scores_gemma":[0.99767184,0.000019091742,0.00057725236,0.000058036752,0.000028843175,0.0000034256043,0.000009271256,0.0000028674265,0.0016293984],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993482,0.00002084453,0.00018864387,0.00014166647,0.00009271078,0.00020793162],"domain_scores_gemma":[0.9996695,0.00006509552,0.0000812468,0.000091361384,0.0000207536,0.00007204605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021723958,0.000055906217,0.00024186216,0.00030505788,0.0000974955,0.000013595582,0.00011820872,0.000021926042,0.00020463901],"category_scores_gemma":[0.000021472371,0.00004777912,0.00009308525,0.0018002181,0.0002256928,0.00009389674,0.0000083505265,0.000030569227,1.424618e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009076273,0.000034905584,0.95874554,0.0000029377218,0.000052153464,9.375188e-8,0.032531712,0.0000010731809,0.0000014121314,0.0023693137,0.00003499875,0.006216803],"study_design_scores_gemma":[0.00010676067,0.00001692709,0.9882535,0.0000018492051,0.00012473414,1.8729027e-9,0.010624323,0.000049842423,0.000017707003,0.0001984959,0.000544187,0.00006166792],"about_ca_topic_score_codex":0.18333066,"about_ca_topic_score_gemma":0.7823099,"teacher_disagreement_score":0.5989792,"about_ca_system_score_codex":0.0000126912955,"about_ca_system_score_gemma":0.000050926526,"threshold_uncertainty_score":0.8221076},"labels":[],"label_agreement":null},{"id":"W134991134","doi":"","title":"An investigation of the attributes of walkable environments from the perspective of seniors in Montreal","year":2015,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University; University of Windsor","funders":"","keywords":"Walkability; Contingency table; Audit; Perspective (graphical); Transport engineering; Work (physics); Geography; Scale (ratio); Psychology; Built environment; Computer science; Statistics; Cartography; Engineering; Business; Mathematics","score_opus":0.0414042441526938,"score_gpt":0.31770675167593715,"score_spread":0.27630250752324337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W134991134","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99273,0.00005348714,2.942517e-7,0.00042246067,0.000033659002,0.00024987417,0.00004212359,0.0000016732026,0.0064664097],"genre_scores_gemma":[0.9996217,0.00016318905,0.000037118083,0.000008182536,0.000028019667,0.0000073308065,0.0000050148824,0.0000040184273,0.0001254342],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986731,0.00042391144,0.00028503785,0.0001825233,0.0002508384,0.00018463368],"domain_scores_gemma":[0.9991066,0.00032911895,0.0001288187,0.00031715512,0.000056594046,0.00006175288],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019718453,0.000051885603,0.00015645799,0.0000445243,0.00006770849,0.000009272947,0.00044820996,0.00007054847,0.000025407697],"category_scores_gemma":[0.00029064025,0.000036562644,0.000042923046,0.00017922906,0.0010832882,0.00018385358,0.000045816047,0.00017354643,3.956222e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003468459,0.000065053166,0.97525144,0.0000025113882,0.000008110643,2.1947976e-7,0.021453476,0.00040035858,0.0007027543,0.00027881723,0.00000582886,0.0017967606],"study_design_scores_gemma":[0.00026837544,0.000031133157,0.9491888,0.000018109964,0.0000028334737,1.1415942e-8,0.037489835,0.00022488018,0.0028274953,0.009839573,0.000072116796,0.000036783884],"about_ca_topic_score_codex":0.06394546,"about_ca_topic_score_gemma":0.09148148,"teacher_disagreement_score":0.027536022,"about_ca_system_score_codex":0.00032795803,"about_ca_system_score_gemma":0.000302355,"threshold_uncertainty_score":0.9422878},"labels":[],"label_agreement":null},{"id":"W138203633","doi":"","title":"How does built environment influence pedestrian activity and pedestrian collisions at intersections?","year":2009,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Pedestrian; Intersection (aeronautics); Collision; Transport engineering; Computer science; Population; Traffic volume; Geography; Engineering; Computer security; Environmental health; Medicine","score_opus":0.0216469024325666,"score_gpt":0.26120021731233867,"score_spread":0.23955331487977208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W138203633","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9892057,0.000093409435,0.0000017232584,0.0012176967,0.00029247507,0.000621733,0.0003123516,0.00021254095,0.008042341],"genre_scores_gemma":[0.9962473,0.00037329012,0.00019503255,0.0002058373,0.00006882639,0.000032128075,0.00001152801,0.000024259767,0.0028418242],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968984,0.00041728455,0.00036997691,0.00091548444,0.0006884551,0.0007103774],"domain_scores_gemma":[0.99825126,0.0002385424,0.00025073916,0.00056830095,0.00008575621,0.000605428],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.000942462,0.00037644806,0.0003927328,0.00015288474,0.0038712078,0.00029971835,0.0005148535,0.00033128797,0.00020834878],"category_scores_gemma":[0.0005669802,0.00033115357,0.00019063945,0.00044221015,0.0005118617,0.0021930812,0.00013747813,0.0006288818,0.000040877545],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008812927,0.002219035,0.4113802,0.00016711751,0.00024155661,0.00022399613,0.0006195558,0.000089356836,0.19791503,0.033972196,0.000018750778,0.3522719],"study_design_scores_gemma":[0.0015377133,0.0003613878,0.7872346,0.000104523046,0.0001657129,0.0000078916555,0.0012673468,0.000013317635,0.030743703,0.027092315,0.15028517,0.0011863034],"about_ca_topic_score_codex":0.00617854,"about_ca_topic_score_gemma":0.03476892,"teacher_disagreement_score":0.3758544,"about_ca_system_score_codex":0.0008572224,"about_ca_system_score_gemma":0.00005375166,"threshold_uncertainty_score":0.99991405},"labels":[],"label_agreement":null},{"id":"W1388586","doi":"10.1016/0001-4575(92)90020-j","title":"『走れメロス』(太宰治)の登場人物の心理学的把握 : SD法によるイメージ測定と「ジョハリの窓」による内容分析","year":2013,"lang":"en","type":"article","venue":"人間学研究","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science","score_opus":0.020053610789212386,"score_gpt":0.2936732359757318,"score_spread":0.27361962518651944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1388586","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.780232,0.00023395866,0.00012973475,0.0028640835,0.00058217923,0.00037994527,0.0000059702456,0.00025997066,0.21531217],"genre_scores_gemma":[0.98123103,0.000033642635,0.00030482636,0.0005337933,0.00056802423,0.00004831804,0.00000986518,0.000016499904,0.017253993],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982742,0.00009458431,0.00027086004,0.00035829356,0.00045157652,0.000550457],"domain_scores_gemma":[0.9991101,0.00008060008,0.00007813217,0.00034835265,0.00012323893,0.00025955675],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004343652,0.00015059112,0.00019923704,0.00005659528,0.00084929494,0.00014738539,0.00050084025,0.00015111141,0.009633497],"category_scores_gemma":[0.0000903323,0.00013523128,0.00012698576,0.00035541473,0.00034060748,0.00058783806,0.00005336258,0.00019394634,0.0019279106],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013540852,0.0002795107,0.8889416,0.00004204712,0.000040888866,0.000014837701,0.017283024,0.0000026527653,0.0008218004,0.013364011,0.04478921,0.034406915],"study_design_scores_gemma":[0.00039701065,0.000036637706,0.5465557,0.000028447446,0.000029834822,3.3621026e-7,0.0024332642,0.000042281496,0.00045259204,0.017821549,0.4317485,0.00045386262],"about_ca_topic_score_codex":0.017860694,"about_ca_topic_score_gemma":0.0064583784,"teacher_disagreement_score":0.38695928,"about_ca_system_score_codex":0.00007186683,"about_ca_system_score_gemma":0.00015317462,"threshold_uncertainty_score":0.9988492},"labels":[],"label_agreement":null},{"id":"W1408530542","doi":"10.1016/j.healthplace.2015.07.004","title":"Walkable school neighborhoods are not playable neighborhoods","year":2015,"lang":"en","type":"article","venue":"Health & Place","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Canadian Institutes of Health Research; University of St Andrews; Heart and Stroke Foundation of Canada","keywords":"Geography; Sociology","score_opus":0.06930176304787798,"score_gpt":0.3606577734208552,"score_spread":0.2913560103729772,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1408530542","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.630277,0.006232443,0.0016562961,0.07165798,0.0042018355,0.0023347994,0.0001720097,0.0013320488,0.2821356],"genre_scores_gemma":[0.9789346,0.0001332523,0.0008160854,0.0055098915,0.000878224,0.000036763297,0.000023697557,0.000029691502,0.013637802],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9966599,0.00034891255,0.00052037346,0.00054510066,0.0008354668,0.0010902925],"domain_scores_gemma":[0.99729186,0.00015162562,0.00030320432,0.0004818942,0.00020931053,0.001562131],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0026447626,0.00022746637,0.0004349756,0.000084696636,0.00089162623,0.00016863615,0.0005243373,0.00021017494,0.00097547966],"category_scores_gemma":[0.0004961303,0.0002209054,0.00009318706,0.0006396903,0.00018378117,0.00074171927,0.00004594699,0.00043370065,0.0005417488],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002281469,0.0003446547,0.7927277,0.00015256584,0.00002257621,0.000025539397,0.008329443,0.00007666322,0.000008975189,0.0049707326,0.1902308,0.0028822161],"study_design_scores_gemma":[0.0018907132,0.00023317756,0.19768447,0.0001472899,0.000024424318,0.0000016744334,0.009478492,0.00027839124,0.00009324759,0.0031268182,0.7863856,0.0006557287],"about_ca_topic_score_codex":0.022207085,"about_ca_topic_score_gemma":0.01575563,"teacher_disagreement_score":0.59615475,"about_ca_system_score_codex":0.00075906405,"about_ca_system_score_gemma":0.0037031793,"threshold_uncertainty_score":0.9999378},"labels":[],"label_agreement":null},{"id":"W1419594391","doi":"10.1016/j.jth.2015.08.001","title":"Exposure to walkable neighbourhoods in urban areas increases utilitarian walking: Longitudinal study of Canadians","year":2015,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":80,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"McGill University","keywords":"Walkability; Neighbourhood (mathematics); Built environment; Odds; Longitudinal study; Logistic regression; Geography; Demography; Population; Poison control; Multinomial logistic regression; Level design; Psychology; Quartile; Environmental health; Gerontology; Medicine; Sociology; Statistics; Confidence interval; Mathematics; Engineering","score_opus":0.05683478036172445,"score_gpt":0.3419009079597158,"score_spread":0.2850661275979913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1419594391","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950268,0.00084214704,0.00007246516,0.002153277,0.00035546997,0.00054617075,0.000029454519,0.000014322972,0.000959839],"genre_scores_gemma":[0.9990668,0.000031689953,0.00028021025,0.00020781955,0.0002844968,0.0000047105973,0.0000045536476,0.000016506992,0.0001031876],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99633217,0.00032650557,0.0014283392,0.00027505573,0.0010083341,0.0006295685],"domain_scores_gemma":[0.9973308,0.00007274391,0.0005320669,0.00026980467,0.0004109414,0.0013836485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041113654,0.00019188381,0.0007950588,0.00040117349,0.0002042972,0.000023085884,0.000546818,0.00010342723,0.00012950206],"category_scores_gemma":[0.00012380187,0.00017460909,0.0001488346,0.00089439325,0.00010500363,0.00047178776,0.000007089323,0.0004003354,0.0000012704344],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000284599,0.0012962756,0.933391,0.00004300589,0.000033312437,0.000171237,0.06306742,0.00008164123,0.000001189981,0.00012981806,0.00042530274,0.0010751983],"study_design_scores_gemma":[0.0014104687,0.0017490084,0.9640551,0.00014157909,0.00004227784,0.0000036667554,0.030218946,0.0000012057969,0.000002228551,0.00026659266,0.001963256,0.00014562935],"about_ca_topic_score_codex":0.5688041,"about_ca_topic_score_gemma":0.84589654,"teacher_disagreement_score":0.27709246,"about_ca_system_score_codex":0.00058485195,"about_ca_system_score_gemma":0.0045126593,"threshold_uncertainty_score":0.8005264},"labels":[],"label_agreement":null},{"id":"W1429457073","doi":"10.1016/j.jth.2015.04.539","title":"A51 Children’s trip to school and psychological well-being","year":2015,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Psychology; Scale (ratio); Mode (computer interface); Limiting; Developmental psychology; Geography; Engineering","score_opus":0.05294173169383139,"score_gpt":0.3765267222612293,"score_spread":0.3235849905673979,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1429457073","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.980451,0.00075053767,0.0006911354,0.013408334,0.0004572985,0.00026668314,0.0000048635966,0.000027596709,0.0039425674],"genre_scores_gemma":[0.9949958,0.0003203558,0.0016115765,0.0021409586,0.0007143699,0.0000015251861,0.0000024864148,0.000009419224,0.00020353912],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978398,0.00013958165,0.00075163913,0.00021905357,0.000633647,0.00041627922],"domain_scores_gemma":[0.99779475,0.000028955403,0.00029227056,0.00013187625,0.00016930282,0.0015828745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030598403,0.00012663,0.0004203352,0.00013005921,0.00026120353,0.000038114522,0.00030914415,0.0001075423,0.00019111049],"category_scores_gemma":[0.000065995766,0.00010056395,0.00012554594,0.00030611843,0.00012792881,0.00036067562,0.0000043473115,0.000421019,0.000013124672],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018949754,0.00020150666,0.987186,0.000012194022,0.000014526195,0.00002666759,0.005998661,0.0000065291197,0.000004347618,0.0002617079,0.0026871664,0.0034111799],"study_design_scores_gemma":[0.0008770524,0.00055077294,0.97761935,0.00005892078,0.000020982336,0.000012547341,0.00075674936,4.0557168e-7,0.0000054528386,0.0016909298,0.018288804,0.00011803846],"about_ca_topic_score_codex":0.0013855047,"about_ca_topic_score_gemma":0.0016707659,"teacher_disagreement_score":0.015601639,"about_ca_system_score_codex":0.0001605195,"about_ca_system_score_gemma":0.0007064251,"threshold_uncertainty_score":0.41008788},"labels":[],"label_agreement":null},{"id":"W14351696","doi":"10.1111/j.1476-5381.1955.tb00069.x","title":"Why Do People Use Transit? Model for Explanation of Personal Attitude Toward Transit Service Quality","year":2009,"lang":"en","type":"article","venue":"Transportation Research Board 88th Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Multinomial logistic regression; Transit (satellite); Reliability (semiconductor); Latent variable; Service quality; Perception; Service (business); Transport engineering; Public transport; Quality (philosophy); Survey data collection; Business; Computer science; Marketing; Psychology; Engineering; Statistics; Mathematics","score_opus":0.18025406815248102,"score_gpt":0.45273199978504125,"score_spread":0.27247793163256023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W14351696","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9349107,0.00022322283,0.041625623,0.01571115,0.00015265748,0.004001565,0.0024116742,0.00029466537,0.0006687159],"genre_scores_gemma":[0.99185324,0.0003378258,0.0045864894,0.00058692467,0.000250165,0.0004453205,0.0013063569,0.00008141188,0.0005522526],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9853261,0.0016968794,0.0021682936,0.0016192853,0.0068703,0.0023191015],"domain_scores_gemma":[0.9857273,0.0020467993,0.00041473718,0.00064713584,0.010132383,0.0010316125],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.012565307,0.0005672229,0.0010338124,0.0012856824,0.0019932513,0.0003822979,0.0012543756,0.0006849043,0.00039060912],"category_scores_gemma":[0.0006693547,0.00061368826,0.0006359998,0.0038742567,0.0010349437,0.002950557,0.000005843089,0.0015256229,0.000015332927],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.011197826,0.002896643,0.3480305,0.0030668892,0.00033476483,0.000047315447,0.5581682,0.012041345,0.00964233,0.039953306,0.0072954786,0.007325419],"study_design_scores_gemma":[0.0038287963,0.00074337615,0.93035316,0.00038077342,0.00014580849,9.188265e-8,0.043023244,0.005153564,0.0012808004,0.0072302427,0.0068659144,0.0009942461],"about_ca_topic_score_codex":0.05930846,"about_ca_topic_score_gemma":0.2950459,"teacher_disagreement_score":0.58232266,"about_ca_system_score_codex":0.00034643503,"about_ca_system_score_gemma":0.0017448406,"threshold_uncertainty_score":0.99963146},"labels":[],"label_agreement":null},{"id":"W1439033620","doi":"10.1016/j.jth.2015.04.527","title":"A39 Tangible and perceptual factors on active travel by children: Quebec City case study","year":2015,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"","keywords":"TRIPS architecture; Walkability; Perception; Neighbourhood (mathematics); Psychology; Geography; Built environment; Mode choice; Demography; Environmental health; Transport engineering; Public transport; Medicine; Sociology; Engineering; Mathematics","score_opus":0.06003046473307997,"score_gpt":0.35492390709500965,"score_spread":0.29489344236192966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1439033620","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974618,0.00030615542,0.00009038442,0.0010051397,0.0002598748,0.00047314653,0.00009368566,0.000019166655,0.00029067544],"genre_scores_gemma":[0.9992156,0.000065045584,0.0000441734,0.00019624374,0.00021936551,0.0000013978564,0.000010514342,0.000013714337,0.00023393617],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99763554,0.00023012361,0.0006777366,0.00025913175,0.0007916852,0.00040580286],"domain_scores_gemma":[0.99832296,0.000060604943,0.00041642913,0.00013689231,0.00017534944,0.00088773086],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017336373,0.00019570922,0.00053495815,0.00012071836,0.000473036,0.000038434227,0.00021433193,0.00010633002,0.00010075034],"category_scores_gemma":[0.000023288532,0.00015326933,0.000140776,0.00024045898,0.000232762,0.0005424661,0.0000036053075,0.0005190393,9.480349e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015860905,0.00088301604,0.86821103,0.000007859482,0.000051117804,0.0002361043,0.12757918,0.0000026963028,0.0000035168384,0.000013887439,0.00058090873,0.0022720466],"study_design_scores_gemma":[0.0012077728,0.001062822,0.8735612,0.000022079177,0.000055659526,0.00003643543,0.12331809,5.5404746e-7,0.000020633932,0.00003868752,0.0005283528,0.00014770286],"about_ca_topic_score_codex":0.19907874,"about_ca_topic_score_gemma":0.23122853,"teacher_disagreement_score":0.032149784,"about_ca_system_score_codex":0.0003595175,"about_ca_system_score_gemma":0.001392634,"threshold_uncertainty_score":0.8062547},"labels":[],"label_agreement":null},{"id":"W1444818494","doi":"10.1016/j.jth.2015.04.524","title":"A36 Active transportation: are Canadian children and youth reaching the target?","year":2015,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Children's Hospital of Eastern Ontario","funders":"","keywords":"Socioeconomic status; Ethnic group; Grading (engineering); Immigration; Report card; Physical activity; Geography; Demography; Psychology; Political science; Medicine; Environmental health; Sociology; Population; Engineering; Physical therapy","score_opus":0.03956255271428073,"score_gpt":0.3066276497319,"score_spread":0.26706509701761927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1444818494","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97994024,0.0019760444,0.00019004555,0.016122472,0.00035339853,0.0002796226,0.00026708058,0.000016989477,0.0008541341],"genre_scores_gemma":[0.9979589,0.0002784247,0.00033256758,0.000871616,0.00045160417,9.722389e-7,0.00004452804,0.000012593923,0.000048812057],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99806845,0.00015853689,0.00060125045,0.00017036518,0.0005790634,0.00042235135],"domain_scores_gemma":[0.99805444,0.000028836144,0.00052095175,0.00012791726,0.00022854733,0.0010392816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023720926,0.00013604909,0.00034832302,0.00011350575,0.0006794306,0.000037831185,0.0003157137,0.00009269444,0.00003900917],"category_scores_gemma":[0.000024575495,0.00009723904,0.00012632248,0.000263286,0.00021754102,0.0005438897,9.0047985e-7,0.00050832354,9.6204e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006955848,0.000039824965,0.88962096,0.0000096813765,0.00003671988,0.000017411523,0.10723392,0.000024942856,3.1790975e-7,0.00028041465,0.00023329885,0.0024329773],"study_design_scores_gemma":[0.00045307528,0.000071072805,0.9760848,0.00006064985,0.000052780997,0.0000032935825,0.018160993,6.4405435e-7,0.000003708568,0.00065113907,0.0043531423,0.00010469547],"about_ca_topic_score_codex":0.41676384,"about_ca_topic_score_gemma":0.725202,"teacher_disagreement_score":0.30843818,"about_ca_system_score_codex":0.0002971597,"about_ca_system_score_gemma":0.003182143,"threshold_uncertainty_score":0.58711994},"labels":[],"label_agreement":null},{"id":"W1462623155","doi":"10.22215/etd/2013-07278","title":"Places to walk, places to walk to : adapting the built environment to promote health","year":2013,"lang":"en","type":"dissertation","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; Library and Archives Canada","funders":"","keywords":"Humanities; Geography; Art","score_opus":0.027542810204847924,"score_gpt":0.3288660062101244,"score_spread":0.30132319600527646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1462623155","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9504551,0.000171752,0.00022202129,0.025057767,0.0006936373,0.004643372,0.00003815691,0.00014180232,0.018576363],"genre_scores_gemma":[0.8241981,0.000042844127,0.0044351877,0.0046527926,0.00065846654,0.0007401659,0.00013618024,0.00006070769,0.1650755],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.9961007,0.00017877297,0.0006785162,0.000978963,0.0011340268,0.00092900236],"domain_scores_gemma":[0.99806404,0.00012563898,0.00020971741,0.00056243106,0.00008752797,0.0009506179],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0015908981,0.00041692462,0.0005173193,0.0001614889,0.0011448928,0.00035629387,0.0012075999,0.00022664001,0.00213388],"category_scores_gemma":[0.00015965485,0.00029714085,0.00013170321,0.00051753543,0.000042618532,0.00023807723,0.00008306556,0.00030602023,0.0012164715],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00054220535,0.00048250175,0.0165883,0.00039749814,0.00014023963,0.000007057676,0.6569869,0.000636129,0.0016156451,0.0011999854,0.09179636,0.22960718],"study_design_scores_gemma":[0.0002490408,0.0007671437,0.1652241,0.0005347612,0.00006433582,1.5342071e-7,0.11789487,0.000018375618,0.0022967178,0.00045214873,0.7110554,0.0014429418],"about_ca_topic_score_codex":0.074885085,"about_ca_topic_score_gemma":0.30911335,"teacher_disagreement_score":0.61925906,"about_ca_system_score_codex":0.00043672483,"about_ca_system_score_gemma":0.00045892608,"threshold_uncertainty_score":0.9999481},"labels":[],"label_agreement":null},{"id":"W1474501126","doi":"10.1007/s11116-015-9633-y","title":"Immigrant status and commute distance: an exploratory study based on the greater Golden Horseshoe","year":2015,"lang":"en","type":"article","venue":"Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Immigration; Residence; Geography; Demographic economics; Population; Ethnic group; Demography; Race (biology); Net migration rate; Sociology; Population growth; Economics; Gender studies","score_opus":0.05689368063738257,"score_gpt":0.3081298571266133,"score_spread":0.2512361764892307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1474501126","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99802566,0.000040000647,0.0002626696,0.00039496296,0.00010072852,0.0005506331,0.000045360743,0.000078945784,0.00050106226],"genre_scores_gemma":[0.99955016,0.0000054257616,0.000026662638,0.00015646302,0.00005406194,0.000051805306,0.000076210286,0.000011042103,0.00006819235],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998661,0.00022941775,0.00020352752,0.00024097798,0.00044239179,0.00022267632],"domain_scores_gemma":[0.99936223,0.0000481974,0.00006345788,0.0002494619,0.00009340431,0.00018326812],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000849317,0.00011667842,0.00012807152,0.000034816945,0.0003215882,0.00007416335,0.00015645495,0.00004726839,0.00006679663],"category_scores_gemma":[0.000011177716,0.00008159455,0.000031750704,0.00018417266,0.00020400283,0.00041614132,9.658982e-7,0.00011651515,0.0000054208654],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014042042,0.00021529,0.8682713,0.0000053460763,0.0000070458773,0.000007758995,0.13033882,0.00004561436,0.000008118802,0.00053135166,0.000048961825,0.000379962],"study_design_scores_gemma":[0.0006699752,0.00019144267,0.9364848,0.000010326888,0.000043389082,6.145627e-9,0.06083706,0.000091977236,0.000030342986,0.00044451788,0.0010678619,0.00012829334],"about_ca_topic_score_codex":0.0033337616,"about_ca_topic_score_gemma":0.104153074,"teacher_disagreement_score":0.10081931,"about_ca_system_score_codex":0.000043616572,"about_ca_system_score_gemma":0.000114907,"threshold_uncertainty_score":0.9121938},"labels":[],"label_agreement":null},{"id":"W1480193377","doi":"","title":"La Forme De L'agglomeration Montrealaise et la Reduction Des Gaz a Effet De Serre: La Polycentricite Est-Elle Durable? *","year":2002,"lang":"fr","type":"article","venue":"Canadian Journal of Regional Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Environmental policy; Geography; Forestry; Philosophy","score_opus":0.025104668176151996,"score_gpt":0.2826853821584395,"score_spread":0.25758071398228755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1480193377","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95986027,0.006707964,0.00051515375,0.013272942,0.00057286175,0.00012590822,0.000016324933,0.0000129271275,0.018915666],"genre_scores_gemma":[0.99165857,0.0019591195,0.0010931279,0.00025045316,0.0003425201,0.0000023215907,0.0000013671211,0.0000107437245,0.0046817497],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99725705,0.0006215012,0.00038578242,0.00026269726,0.00062071846,0.00085221935],"domain_scores_gemma":[0.9974387,0.0002183438,0.0003277915,0.00013161232,0.00033022085,0.0015533038],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.004239399,0.00017120459,0.00020749743,0.00033227654,0.0012214276,0.0004515998,0.0005939896,0.0002020976,0.00036094972],"category_scores_gemma":[0.00034740387,0.00016650645,0.00015581097,0.0016345612,0.004113037,0.002223152,0.000009093628,0.00049005187,0.0000124922435],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013277092,0.0005145866,0.61276305,0.00018138027,0.0001052568,0.0020642313,0.108119436,0.0031869465,0.0017872007,0.056982093,0.036443006,0.17772007],"study_design_scores_gemma":[0.0012945308,0.00027216782,0.6362052,0.0010119932,0.00019909989,0.0032990095,0.0061929068,0.005429916,0.0003034606,0.02583568,0.31925702,0.0006990026],"about_ca_topic_score_codex":0.061288852,"about_ca_topic_score_gemma":0.124953374,"teacher_disagreement_score":0.28281403,"about_ca_system_score_codex":0.0013121943,"about_ca_system_score_gemma":0.0054966244,"threshold_uncertainty_score":0.9985972},"labels":[],"label_agreement":null},{"id":"W1481310016","doi":"","title":"Policy Areas Impinging on Elderly Transportation Mobility: An Explanation with Ontario, Canada as Example","year":2007,"lang":"en","type":"article","venue":"Social and Economic Dimensions of an Aging Population Research Papers","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"","keywords":"Sustainability; Stock (firearms); Business; Transport policy; Transportation planning; Public economics; Population; Regional science; Economic growth; Environmental planning; Transport engineering; Public transport; Economics; Geography; Engineering; Medicine","score_opus":0.05030575318323411,"score_gpt":0.3576353039211899,"score_spread":0.3073295507379558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1481310016","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957127,0.0000034365908,0.0000034476075,0.00056274637,0.00005342947,0.00024438475,0.000013906396,0.000025776688,0.0033801585],"genre_scores_gemma":[0.99933785,0.0000039541924,0.00006611936,0.00006205854,0.00011279287,0.0000055447113,0.00017338425,0.000009250166,0.00022906589],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985993,0.00010836332,0.00026453033,0.00030724652,0.00036079605,0.00035976875],"domain_scores_gemma":[0.99937177,0.00011079815,0.00009445979,0.00012327479,0.00008849584,0.0002112257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014691049,0.000092212875,0.00014808703,0.00018606347,0.0011521982,0.0000547227,0.00010679444,0.000068708694,0.00011406158],"category_scores_gemma":[0.000025429594,0.00008425037,0.000027383172,0.0001757038,0.00018784998,0.0004766082,0.0000044565536,0.00016620808,5.828657e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002555583,0.0001294074,0.9148273,0.000021207403,0.000031779244,0.000006802571,0.03549674,0.0005281446,0.00020040778,0.021288821,0.000026265498,0.027187604],"study_design_scores_gemma":[0.0002505321,0.00013141651,0.9811483,0.000018288845,0.0000076246133,1.0926645e-7,0.0154179605,0.000027902022,0.00007336255,0.00204481,0.0007605351,0.00011915954],"about_ca_topic_score_codex":0.99611026,"about_ca_topic_score_gemma":0.99924594,"teacher_disagreement_score":0.06632104,"about_ca_system_score_codex":0.0007131484,"about_ca_system_score_gemma":0.0011098209,"threshold_uncertainty_score":0.88618934},"labels":[],"label_agreement":null},{"id":"W1482973676","doi":"10.17269/cjph.106.4555","title":"La coalition Bâtir un Canada en santé: Leçons de la première phase d’une initiative intersectorielle et interprovinciale sur le milieu bâti","year":2015,"lang":"fr","type":"article","venue":"Canadian Journal of Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Fraser Health; Heart and Stroke Foundation","funders":"","keywords":"Political science; Humanities; Philosophy","score_opus":0.0659045557709079,"score_gpt":0.3383977431659065,"score_spread":0.2724931873949986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1482973676","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87843144,0.005604024,0.0023249504,0.09852282,0.0021653676,0.00024894066,0.00073826464,0.000011823721,0.011952361],"genre_scores_gemma":[0.99558985,0.00016892923,0.00028083293,0.002498338,0.0007325119,0.0000037169257,0.000040901185,0.000025862908,0.00065906876],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.9929883,0.004393052,0.00085983996,0.00024774479,0.00047564541,0.0010354186],"domain_scores_gemma":[0.99329054,0.0007094186,0.0006287693,0.00018116664,0.0006230532,0.00456707],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.010097523,0.00023023997,0.00049133523,0.00023500549,0.0004449217,0.00022787291,0.0005715621,0.0002745857,0.00039470723],"category_scores_gemma":[0.0018874492,0.00024652778,0.00013610531,0.0008909369,0.0008295027,0.0011645784,0.000017571014,0.0010640301,0.0000026511066],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.0000861714,0.0008514141,0.19185324,0.0002912875,0.00029527242,0.0014899508,0.39789936,0.000036523787,0.00001124955,0.021756308,0.21852632,0.1669029],"study_design_scores_gemma":[0.0021306002,0.0003633096,0.024702763,0.00030387784,0.00003290888,0.00008156785,0.10343284,0.00009688295,0.000026454107,0.0019979037,0.8665245,0.00030635155],"about_ca_topic_score_codex":0.9930623,"about_ca_topic_score_gemma":0.9993213,"teacher_disagreement_score":0.6479982,"about_ca_system_score_codex":0.0070819207,"about_ca_system_score_gemma":0.26602778,"threshold_uncertainty_score":0.9999987},"labels":[],"label_agreement":null},{"id":"W1484122501","doi":"10.1186/s12889-015-1822-2","title":"Longitudinal active living research to address physical inactivity and sedentary behaviour in children in transition from preadolescence to adolescence","year":2015,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University; Saskatchewan Health; University of Saskatchewan","funders":"Canadian Institutes of Health Research","keywords":"Preadolescence; Neighbourhood (mathematics); Socioeconomic status; Observational study; Biostatistics; Longitudinal study; Medicine; Population; Active living; Demography; Physical activity; Public health; Environmental health; Gerontology; Geography; Psychology; Developmental psychology; Physical therapy","score_opus":0.13817713565090436,"score_gpt":0.42178581006386845,"score_spread":0.2836086744129641,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1484122501","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9931503,0.000041469037,0.00047579018,0.004950583,0.00005248452,0.0011067826,0.000063553336,0.00003609548,0.00012293486],"genre_scores_gemma":[0.999212,0.000007739409,0.00022352255,0.0002556221,0.00021686427,0.0000488411,0.000015686443,0.000009144223,0.0000105292875],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9963137,0.0012500174,0.00025758892,0.0006332094,0.0007717122,0.0007737559],"domain_scores_gemma":[0.99848366,0.00020702192,0.00004850848,0.00021126588,0.00013497283,0.0009145699],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034372264,0.00012455354,0.0002908578,0.0002940526,0.00024142228,0.00013647103,0.00034090588,0.00008446734,0.00001111443],"category_scores_gemma":[0.00044675497,0.00013243777,0.00002640927,0.0012363072,0.00017744936,0.00096740073,0.000081649254,0.0005264594,0.000007679927],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005714229,0.00059867534,0.93834007,0.000013875558,0.0000014052531,0.0000022824013,0.056014273,0.000005229201,0.000013168286,0.000048100872,0.0000603217,0.0048454367],"study_design_scores_gemma":[0.00026122172,0.0000999684,0.9914689,0.00022358744,0.0000013884123,2.1491623e-7,0.007606853,0.000028863324,0.000020885065,0.00014643956,0.000011865197,0.00012981505],"about_ca_topic_score_codex":0.25249085,"about_ca_topic_score_gemma":0.39427367,"teacher_disagreement_score":0.14178282,"about_ca_system_score_codex":0.0010243201,"about_ca_system_score_gemma":0.0021390528,"threshold_uncertainty_score":0.7524869},"labels":[],"label_agreement":null},{"id":"W1484235441","doi":"10.1023/a:1005231926405","title":"A computerized household activity scheduling survey","year":2000,"lang":"en","type":"article","venue":"Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":223,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; University of Toronto; McMaster University","keywords":"Tracing; Scheduling (production processes); Travel behavior; Computer science; Operations research; Survey data collection; The Internet; Business; Transport engineering; Engineering; Operations management; World Wide Web","score_opus":0.05611253970406035,"score_gpt":0.30833796477200665,"score_spread":0.2522254250679463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1484235441","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949312,0.000019981855,0.0022923881,0.00013041832,0.00011009169,0.00018764878,0.00006722088,0.00020422705,0.0020567866],"genre_scores_gemma":[0.99859697,0.000033542794,0.00062780944,0.00005607012,0.00008446485,0.0000067120836,0.00012435328,0.000009803805,0.00046025513],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998991,0.00012706032,0.00017686447,0.00022430549,0.0002610037,0.00021978254],"domain_scores_gemma":[0.99964064,0.000060383132,0.000046919824,0.000120840035,0.000040701838,0.00009048909],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005773679,0.0000888303,0.0001400096,0.000028436616,0.00029680508,0.00004689183,0.00014034376,0.00008386428,0.00111838],"category_scores_gemma":[0.000006455194,0.00009378757,0.00006543467,0.00029559957,0.00011027715,0.00042998968,3.5652192e-7,0.00010346945,0.000025755438],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021328707,0.00016022708,0.96126467,0.00001655909,0.000014666641,0.0000064587225,0.006447117,0.00046953198,0.0004093749,0.00023878455,0.000034898538,0.030724417],"study_design_scores_gemma":[0.0003244411,0.000009686172,0.9976168,0.000008632717,0.000012170231,1.4488797e-8,0.00004752741,0.00008335776,0.00016008795,0.00017426885,0.00144562,0.00011739485],"about_ca_topic_score_codex":0.015791068,"about_ca_topic_score_gemma":0.045985173,"teacher_disagreement_score":0.036352124,"about_ca_system_score_codex":0.000027542304,"about_ca_system_score_gemma":0.000086064705,"threshold_uncertainty_score":0.9997947},"labels":[],"label_agreement":null},{"id":"W1488066700","doi":"10.18061/dsq.v24i3.507","title":"Income Assistance (the ODSP) and Disabled Women in Ontario, Canada: Limited Program Information, Restrictive Incomes and the Impacts Upon Socio-Spatial Life","year":2004,"lang":"en","type":"article","venue":"Disability Studies Quarterly","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Everyday life; Experiential learning; Space (punctuation); Economic growth; Low income; Psychology; Socioeconomics; Gerontology; Sociology; Demographic economics; Political science; Medicine; Economics","score_opus":0.012710933036335161,"score_gpt":0.2712505446541061,"score_spread":0.25853961161777095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1488066700","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9854943,0.0002629453,0.0000098277615,0.012457614,0.00014061922,0.0012868261,0.000017593326,0.000044569042,0.000285715],"genre_scores_gemma":[0.9993101,0.000037836653,0.000020774627,0.00024446967,0.000046262503,0.00031597994,0.0000070813553,0.000004555819,0.000012934447],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978474,0.00033776124,0.00054700323,0.0002766599,0.00045421388,0.0005369705],"domain_scores_gemma":[0.9984517,0.00075134455,0.00018808736,0.0002808407,0.00015030638,0.00017768862],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017103952,0.00020337121,0.00043856655,0.00002281408,0.0011080939,0.00016788532,0.00025521268,0.00007570073,0.000009236901],"category_scores_gemma":[0.00075848884,0.000121343175,0.00005013751,0.0003797035,0.002598317,0.0007716493,0.000041474163,0.00031369258,6.541893e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020120652,0.00008424582,0.7746713,0.00003533103,0.000061062616,5.6955656e-7,0.21988097,0.000003248034,6.2219016e-8,0.00068511313,0.000017907314,0.0043589515],"study_design_scores_gemma":[0.0014414861,0.00012059217,0.85753614,0.000019807298,0.000020583175,8.3638504e-8,0.12856552,0.000010778991,1.9351235e-7,0.011598483,0.0005524192,0.00013390246],"about_ca_topic_score_codex":0.97983605,"about_ca_topic_score_gemma":0.99965215,"teacher_disagreement_score":0.091315456,"about_ca_system_score_codex":0.0026341311,"about_ca_system_score_gemma":0.0012641775,"threshold_uncertainty_score":0.95736074},"labels":[],"label_agreement":null},{"id":"W148940873","doi":"10.1108/9781615832538-010","title":"Integrated Land Use/Transport Model Requirements","year":2004,"lang":"en","type":"book-chapter","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Variety (cybernetics); Computer science; Set (abstract data type); Systems engineering; Risk analysis (engineering); Order (exchange); Ideal (ethics); Land use; Management science; Engineering; Business; Civil engineering","score_opus":0.0860246856882097,"score_gpt":0.3063226890108015,"score_spread":0.2202980033225918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W148940873","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0053611007,0.00007046864,0.0012058462,0.0001833005,0.0002408453,0.00042479465,0.00013162899,0.00022168507,0.9921603],"genre_scores_gemma":[0.29882193,0.00011960359,0.0005528916,0.00018489847,0.000115749644,0.0000040841223,0.00017239747,0.000034883335,0.69999355],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99803823,0.000009815758,0.00043738613,0.00051019597,0.0006470284,0.00035734245],"domain_scores_gemma":[0.9991308,0.000018552062,0.00013763348,0.0003313018,0.00018458457,0.0001971721],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002892423,0.00031706813,0.00037859735,0.000092299146,0.00027686375,0.00007712506,0.00039736254,0.0005625861,0.0065251924],"category_scores_gemma":[0.000009718861,0.00027306058,0.00022423608,0.00004996041,0.0003743808,0.00033873215,0.000012646003,0.00038109726,0.000121250625],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008499265,0.00012671799,0.14515007,0.000089996174,0.00020658578,0.00009630847,0.00266318,0.00016419537,0.000014226383,0.8473118,0.0019094018,0.0021825507],"study_design_scores_gemma":[0.0011031096,0.000057066398,0.009211444,0.0006235151,0.00040116225,2.4761897e-7,0.00011463268,0.00014727011,0.00002331789,0.49550393,0.49101707,0.0017972378],"about_ca_topic_score_codex":0.011789713,"about_ca_topic_score_gemma":0.05305429,"teacher_disagreement_score":0.48910767,"about_ca_system_score_codex":0.00027838544,"about_ca_system_score_gemma":0.00089789095,"threshold_uncertainty_score":0.99997216},"labels":[],"label_agreement":null},{"id":"W1489659222","doi":"10.17269/cjph.106.4397","title":"La demande de marchabilité insatisfaite: disparités entre les préférences et les choix réels de cadres de vie à Toronto et Vancouver","year":2015,"lang":"fr","type":"article","venue":"Canadian Journal of Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Fraser Health; University of Toronto; Public Health Ontario","funders":"","keywords":"Walkability; Neighbourhood (mathematics); Metropolitan area; Geography; Built environment; Public transport; Preference; Psychology; Demography; Sociology; Transport engineering; Economics; Engineering","score_opus":0.06973672669989069,"score_gpt":0.34794181139460034,"score_spread":0.27820508469470967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1489659222","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82919186,0.046065923,0.0022587623,0.114864275,0.0012267603,0.00026814902,0.00021109518,0.000018894134,0.005894271],"genre_scores_gemma":[0.9910124,0.0020203465,0.0018830355,0.0029442802,0.00068792317,0.0000073294486,0.000008028951,0.000026519956,0.0014101423],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9925877,0.0039092014,0.00089071225,0.0002991794,0.00057776977,0.0017354713],"domain_scores_gemma":[0.9916353,0.0005747671,0.0005750169,0.00021806378,0.00042384572,0.006572991],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.017002037,0.00027201578,0.0005445399,0.00016452128,0.00060021144,0.00039275768,0.0007877455,0.00042445594,0.0011987266],"category_scores_gemma":[0.0018589912,0.0002564246,0.00020113183,0.00037558598,0.0011010255,0.0017731463,0.00002299113,0.0009803764,0.0000027595536],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.000008066494,0.00008243093,0.8040582,0.00014111558,0.000047790447,0.00008081572,0.059627317,0.000042711137,5.5106653e-7,0.010858809,0.021476595,0.10357562],"study_design_scores_gemma":[0.00037772162,0.00015720828,0.5522438,0.00022211064,0.000023099836,0.00002597383,0.023149498,0.000042479955,0.0000010999989,0.0050322283,0.418537,0.00018774737],"about_ca_topic_score_codex":0.9283747,"about_ca_topic_score_gemma":0.99883276,"teacher_disagreement_score":0.3970604,"about_ca_system_score_codex":0.005148947,"about_ca_system_score_gemma":0.07740611,"threshold_uncertainty_score":0.9999888},"labels":[],"label_agreement":null},{"id":"W1489780697","doi":"10.1007/bf03404356","title":"Parents’ Perception of Neighbourhood Environment as a Determinant of Screen Time, Physical Activity and Active Transport","year":2010,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":70,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Canadian Institutes of Health Research; Fondation pour la Recherche Médicale","keywords":"Neighbourhood (mathematics); Physical activity; Perception; Psychology; Medicine; Neuroscience; Physical medicine and rehabilitation; Mathematics","score_opus":0.028271531860584183,"score_gpt":0.300443102797386,"score_spread":0.27217157093680183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1489780697","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968586,0.000022380276,0.00010752643,0.0019813927,0.00007814814,0.00014482705,0.00008953969,0.0000020276502,0.00071556965],"genre_scores_gemma":[0.99963903,0.00002970642,0.00010613636,0.00004016697,0.00013129156,7.9288355e-7,0.0000038226594,0.0000059411777,0.000043109943],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987763,0.00014694793,0.0002949222,0.00012466697,0.0003051206,0.00035201284],"domain_scores_gemma":[0.9980655,0.00004410465,0.00042373972,0.000112477785,0.00009840364,0.0012558196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012350816,0.000084267034,0.00032812607,0.0001403286,0.00018865007,0.000015986,0.00019635206,0.00007842929,0.00050013023],"category_scores_gemma":[0.00007593619,0.000075180295,0.00009839774,0.00012452024,0.00051127403,0.00044975712,0.000003268873,0.000298108,0.0000015432346],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024640096,0.00023425896,0.69115067,0.00003469326,0.00003130696,0.000009736477,0.024500255,4.915639e-7,0.0019028429,0.00031670998,0.000024050854,0.28177035],"study_design_scores_gemma":[0.0002320739,0.00019619457,0.99620116,0.000019404068,0.000013632212,0.000002565366,0.0018995809,0.0000107745545,0.00011288582,0.00016950119,0.0010790165,0.000063216954],"about_ca_topic_score_codex":0.15630966,"about_ca_topic_score_gemma":0.20085064,"teacher_disagreement_score":0.3050505,"about_ca_system_score_codex":0.00017707379,"about_ca_system_score_gemma":0.00476834,"threshold_uncertainty_score":0.84930855},"labels":[],"label_agreement":null},{"id":"W1490326714","doi":"10.17269/cjph.97.1554","title":"Profil des visiteurs du site Web de Canada en mouvement","year":2006,"lang":"fr","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Web site; Art; The Internet","score_opus":0.007070785072178666,"score_gpt":0.23038845507481157,"score_spread":0.2233176700026329,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1490326714","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9182358,0.0014163806,0.0001393355,0.0076702917,0.00058965274,0.00020325377,0.00005437128,0.000048195743,0.07164274],"genre_scores_gemma":[0.89265406,0.00006870803,0.00052317395,0.00050813943,0.00062098604,0.000008205546,0.000017098271,0.000009410107,0.10559023],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982872,0.0001446187,0.00027651442,0.0002840956,0.00040213534,0.00060540705],"domain_scores_gemma":[0.9994646,0.00006903558,0.00006267416,0.00014403989,0.00008142588,0.00017825546],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00050912105,0.00015647705,0.00015963543,0.00002030865,0.00043632986,0.000074641444,0.00024694146,0.00010356435,0.004068567],"category_scores_gemma":[0.00001525433,0.00014784468,0.00007290575,0.0003426279,0.00037341006,0.0002828195,0.000022820108,0.00011844598,0.00003802808],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000050311805,0.00012555456,0.9603703,0.00004773199,0.000011849481,0.000030895393,0.0011995683,0.00004017989,0.00019496575,0.0046473714,0.030481536,0.0028450186],"study_design_scores_gemma":[0.00018762804,0.000017599868,0.7985333,0.00002242459,0.00003961387,3.1869277e-7,0.0011086063,0.00027823178,0.0007109738,0.0022690357,0.19661787,0.00021434671],"about_ca_topic_score_codex":0.9929187,"about_ca_topic_score_gemma":0.9988913,"teacher_disagreement_score":0.16613634,"about_ca_system_score_codex":0.00089404784,"about_ca_system_score_gemma":0.0016544911,"threshold_uncertainty_score":0.99684185},"labels":[],"label_agreement":null},{"id":"W1490733999","doi":"","title":"Bicycling: Health risk or benefit?","year":2012,"lang":"en","type":"article","venue":"UBC Faculty of Medicine medical journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":65,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Downtown; Cycling; Transport engineering; Geography; Installation; Engineering; Forestry; Archaeology","score_opus":0.07572731199431738,"score_gpt":0.41407269736319674,"score_spread":0.33834538536887937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1490733999","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8886947,0.0042634583,0.0025471866,0.094652586,0.0026275832,0.00023036615,0.000026208625,0.00007095701,0.0068869386],"genre_scores_gemma":[0.9896313,0.0019146227,0.00072566455,0.001670339,0.0051947115,0.0000015184862,0.000014199384,0.0000106187035,0.0008370023],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9953165,0.00030119752,0.00092495565,0.0001579845,0.0025782904,0.00072108064],"domain_scores_gemma":[0.9967756,0.00031765676,0.0005988134,0.00014789462,0.00018225996,0.0019777701],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.009378065,0.00014827152,0.00053038663,0.00011478542,0.00067592517,0.000014031152,0.000562229,0.00018497759,0.008386264],"category_scores_gemma":[0.0040835403,0.00008511556,0.00013361021,0.0003718221,0.0012723798,0.00029908502,0.000027070126,0.00088142115,0.000018358693],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009483794,0.00030063192,0.7182406,0.000042742904,0.000057500005,0.000019786894,0.024150645,6.47502e-7,0.0000054945185,0.0006518841,0.03500406,0.22143118],"study_design_scores_gemma":[0.0032875882,0.0004775117,0.605117,0.0007222718,0.000104724604,0.000045249293,0.013347012,0.00002163248,0.00002174358,0.002484388,0.37413475,0.00023613105],"about_ca_topic_score_codex":0.003782822,"about_ca_topic_score_gemma":0.0016792644,"teacher_disagreement_score":0.33913067,"about_ca_system_score_codex":0.00010889111,"about_ca_system_score_gemma":0.00084678666,"threshold_uncertainty_score":0.9925202},"labels":[],"label_agreement":null},{"id":"W1491207802","doi":"10.5860/choice.50-5939","title":"Made for walking: density and neighborhood form","year":2013,"lang":"en","type":"article","venue":"Choice Reviews Online","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Aesthetics; Art","score_opus":0.04972967983809094,"score_gpt":0.3501942990962973,"score_spread":0.30046461925820633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1491207802","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9632641,0.024798084,0.0010426637,0.0044109668,0.00029144497,0.0028199255,0.000025154473,0.00010459105,0.0032430645],"genre_scores_gemma":[0.97827333,0.010708705,0.0051792064,0.0013158278,0.0013355959,0.00015291738,0.000083916515,0.000019294444,0.0029311848],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989918,0.000051257935,0.00030645332,0.00025034268,0.00011828134,0.000281855],"domain_scores_gemma":[0.9992756,0.00014979337,0.00011949823,0.00019431116,0.000103045444,0.00015775069],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055044616,0.00011495217,0.00030816448,0.000021528314,0.00028837117,0.00006886919,0.0001907254,0.00008009997,0.00023675423],"category_scores_gemma":[0.00048790174,0.00008817195,0.00010980358,0.00014537033,0.00011565053,0.0004062718,0.000019845138,0.00009567543,0.00002724799],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000464804,0.00020604765,0.44576252,0.00051190093,0.000014614051,4.1372718e-7,0.0013556792,1.8277241e-8,0.00034056747,0.0017065639,0.003107406,0.5469896],"study_design_scores_gemma":[0.00027520926,0.000023714058,0.36279973,0.00011445432,0.00005037414,1.7131089e-7,0.00015656865,0.00003602846,0.00003589419,0.008059313,0.6282667,0.00018184139],"about_ca_topic_score_codex":0.0008461505,"about_ca_topic_score_gemma":0.0043203346,"teacher_disagreement_score":0.62515926,"about_ca_system_score_codex":0.000034253575,"about_ca_system_score_gemma":0.00004749224,"threshold_uncertainty_score":0.3595548},"labels":[],"label_agreement":null},{"id":"W1491972220","doi":"","title":"Clintonville Sustainability Plan : Transportation & Mobility [poster]","year":2007,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Plan (archaeology); Sustainability; Quarter (Canadian coin); Transportation planning; Environmental planning; Sustainable development; Transport engineering; Business; Engineering; Political science; Geography; Archaeology","score_opus":0.019624617789470025,"score_gpt":0.3263315498366713,"score_spread":0.3067069320472013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1491972220","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92738706,0.000029144385,0.003441135,0.00077180227,0.00019789803,0.00048481976,0.0000105496265,0.00021151465,0.06746606],"genre_scores_gemma":[0.99765104,0.0000037909228,0.00018784762,0.00013623209,0.00013853233,0.000007091064,0.000031348864,0.0000064110104,0.0018377001],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982878,0.00007301059,0.00043112505,0.0003604088,0.00037360948,0.00047405844],"domain_scores_gemma":[0.9990168,0.00016441444,0.000069656395,0.00026915778,0.00026638765,0.00021356303],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0029388627,0.00011150234,0.00015904143,0.00004679888,0.00041228923,0.00003934233,0.00023525913,0.00014233978,0.0014568688],"category_scores_gemma":[0.00011740487,0.00010112317,0.0001189714,0.00032523103,0.00039208637,0.0003982087,0.0000042160923,0.00014250576,0.000015510392],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008159326,0.00020396158,0.97651774,0.00002696822,0.0000050671433,0.0000072460757,0.0074705654,0.0000013167626,0.0000187381,0.0064442162,0.000099228215,0.009123387],"study_design_scores_gemma":[0.00019675681,0.000026714208,0.96102726,0.000002463607,0.000011666673,3.0912663e-8,0.009289902,0.000001552155,0.0005370483,0.009390153,0.019373495,0.00014294175],"about_ca_topic_score_codex":0.013214774,"about_ca_topic_score_gemma":0.1560479,"teacher_disagreement_score":0.14283313,"about_ca_system_score_codex":0.00022679982,"about_ca_system_score_gemma":0.00024628616,"threshold_uncertainty_score":0.9994559},"labels":[],"label_agreement":null},{"id":"W1493619021","doi":"10.1073/pnas.1504033112","title":"A century of sprawl in the United States","year":2015,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":206,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Urban sprawl; Geography; Street network; Public transport; Economic geography; Government (linguistics); Cartography; Urban planning; Transport engineering; Engineering; Civil engineering","score_opus":0.08620527947340104,"score_gpt":0.3583092935420373,"score_spread":0.27210401406863627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1493619021","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97987974,0.000111311296,1.9114799e-7,0.007913326,0.000016321355,0.00014139988,0.000008114421,0.000004562672,0.011925052],"genre_scores_gemma":[0.9994691,0.000040222305,0.00017251633,0.0002352276,0.00003884002,0.0000032419034,2.0566895e-7,0.0000010551174,0.000039580682],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99799865,0.000021239319,0.00027288686,0.00011971004,0.0014612327,0.00012629956],"domain_scores_gemma":[0.99917585,0.00014260261,0.00030602014,0.0000063810385,0.00034108543,0.000028060029],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00453212,0.00004751471,0.00010009595,0.00014041636,0.00013988817,0.000019357049,0.0011322353,0.00005079193,0.000009311043],"category_scores_gemma":[0.0006868003,0.000025767666,0.000044241326,0.001897384,0.0021188178,0.0004129114,0.00003678503,0.0001131663,3.1623594e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003093656,0.00018218692,0.76555496,0.00005342679,0.000008392287,7.611275e-9,0.034424514,0.00010892511,0.0027655987,0.1952084,0.0013891611,0.00027348523],"study_design_scores_gemma":[0.0002975355,0.00004769249,0.66479003,0.00009819045,0.000014030032,2.8979642e-7,0.036848992,0.0002278547,0.011569151,0.2784672,0.0075383503,0.00010067413],"about_ca_topic_score_codex":0.00071897387,"about_ca_topic_score_gemma":0.000010438842,"teacher_disagreement_score":0.10076494,"about_ca_system_score_codex":0.00002654421,"about_ca_system_score_gemma":0.0000891666,"threshold_uncertainty_score":0.7806873},"labels":[],"label_agreement":null},{"id":"W149440500","doi":"","title":"2009 University of Calgary Commuter Cyclist Survey Report","year":2009,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transport engineering; Engineering","score_opus":0.029491719008126326,"score_gpt":0.28848095872895424,"score_spread":0.25898923972082794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W149440500","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.73690814,0.000024179217,0.0007485638,0.00042312196,0.00005744029,0.000066666275,0.0000061096052,0.000043279502,0.26172253],"genre_scores_gemma":[0.98727715,0.000010891431,0.00035691244,0.00009189195,0.000018533801,1.956803e-8,0.000023840095,0.0000011477074,0.012219598],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993512,0.00010621421,0.00012368383,0.00012306981,0.00016913947,0.00012668085],"domain_scores_gemma":[0.999547,0.000042077125,0.000062872816,0.00019271042,0.00008758492,0.00006776489],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00084086205,0.00004249821,0.000109629065,0.000017574368,0.00018359836,0.000009714504,0.00021160387,0.000056677847,0.0009697429],"category_scores_gemma":[0.0000348765,0.000041389507,0.000050580584,0.00016919462,0.000191373,0.00016109235,0.000008345991,0.000059760565,0.000008593843],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015486397,0.00007687616,0.99252343,0.000001271062,0.0000033492622,0.00003964316,0.0006085434,1.4706556e-7,0.000016552951,0.0007375128,0.0039470186,0.002030159],"study_design_scores_gemma":[0.00008170174,0.00001015897,0.9862412,0.0000023816544,0.000004915813,1.8529813e-7,0.00018757532,0.000003170668,0.000029214154,0.0005097776,0.012874609,0.000055093606],"about_ca_topic_score_codex":0.0910976,"about_ca_topic_score_gemma":0.113564424,"teacher_disagreement_score":0.25036904,"about_ca_system_score_codex":0.000021251502,"about_ca_system_score_gemma":0.0000920855,"threshold_uncertainty_score":0.9999435},"labels":[],"label_agreement":null},{"id":"W1497231166","doi":"","title":"Urban Land Development and Road Development in Halifax-Dartmouth: A Spatial Analysis Using Parcel Level Data","year":2002,"lang":"en","type":"dissertation","venue":"MacSphere (McMaster University)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geography; Transport engineering; Cartography; Urban planning; Land use; Regional science; Environmental planning; Civil engineering; Engineering","score_opus":0.06987534567965754,"score_gpt":0.27079366651503306,"score_spread":0.20091832083537553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1497231166","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8788691,0.00029750454,0.0006442462,0.000021140198,0.00020650843,0.0003996221,0.00013662226,0.00005498241,0.11937027],"genre_scores_gemma":[0.6782189,0.000031437852,0.0031488498,0.000016668964,0.000089789544,0.0000012402293,0.0021605091,0.000026442769,0.31630617],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975018,0.00016262727,0.0004269715,0.0008969692,0.0005320696,0.00047958302],"domain_scores_gemma":[0.9990365,0.000034006836,0.00026877775,0.00036959298,0.00008992922,0.0002012186],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00038633376,0.0003430561,0.0005425935,0.0004706823,0.0005732028,0.00015488695,0.00081427064,0.00035528507,0.014107139],"category_scores_gemma":[0.000019192874,0.00039234554,0.000079484875,0.001293665,0.000113313414,0.00048831926,0.00014185515,0.00029556933,0.000012903429],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009424032,0.00012191924,0.6998431,0.00009349682,0.00040602262,0.00010346644,0.033741005,0.000010389837,0.000005232013,0.000019095263,0.000057290166,0.26550475],"study_design_scores_gemma":[0.00088439195,0.0000085155,0.7125142,0.00017683273,0.0007310049,1.6343479e-7,0.013646105,0.00046084044,0.000048003454,0.0000066104485,0.27072304,0.0008002746],"about_ca_topic_score_codex":0.030346638,"about_ca_topic_score_gemma":0.6961642,"teacher_disagreement_score":0.66581756,"about_ca_system_score_codex":0.00040788818,"about_ca_system_score_gemma":0.00068174955,"threshold_uncertainty_score":0.99985284},"labels":[],"label_agreement":null},{"id":"W1498025433","doi":"10.7202/1008887ar","title":"Potentiel piétonnier des quartiers et mode de transport pour aller au travail : le cas des RMR du Québec","year":2012,"lang":"fr","type":"article","venue":"Cahiers de géographie du Québec","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"McGill University","funders":"Université de Montréal; Ministère de la Santé; Ministère de la Santé et des Services sociaux; Institut National de Santé Publique du Québec","keywords":"Humanities; Physics; Political science; Philosophy","score_opus":0.015569862479786228,"score_gpt":0.2520961537706975,"score_spread":0.23652629129091127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1498025433","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94727457,0.01874108,0.010052619,0.0104594445,0.00092393,0.0004774811,0.00006241008,0.00025294902,0.0117555],"genre_scores_gemma":[0.9705581,0.00149616,0.0013425623,0.0012298926,0.0009269121,0.00008759943,0.000027997263,0.0001233174,0.024207475],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99418783,0.000803986,0.0009067712,0.00080935896,0.00063265784,0.0026594102],"domain_scores_gemma":[0.99677664,0.0003280881,0.00030970474,0.0006003015,0.00025847874,0.0017268151],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0028481975,0.00075617066,0.00077990553,0.00036069308,0.00228268,0.00012948789,0.00092298625,0.0009476964,0.00084291416],"category_scores_gemma":[0.00018409715,0.0008018572,0.0011524294,0.0015860226,0.027824324,0.0018878889,0.000025532461,0.0010706118,0.00010186848],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015525447,0.0009809898,0.7897751,0.00019159177,0.00033159473,0.0000638507,0.18704924,0.00011816311,0.00022671127,0.004404701,0.0042516305,0.012451213],"study_design_scores_gemma":[0.0012105856,0.0000997783,0.882505,0.000121828205,0.0006489022,0.000029297225,0.021358203,0.00008419624,0.0002892353,0.004474984,0.08814149,0.0010364713],"about_ca_topic_score_codex":0.9209913,"about_ca_topic_score_gemma":0.9742555,"teacher_disagreement_score":0.16569103,"about_ca_system_score_codex":0.0028506117,"about_ca_system_score_gemma":0.010064751,"threshold_uncertainty_score":0.99944323},"labels":[],"label_agreement":null},{"id":"W1500832267","doi":"10.5772/33001","title":"The Environmental and Population Health Benefits of Active Transport: A Review","year":2012,"lang":"en","type":"review","venue":"InTech eBooks","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Children's Hospital of Eastern Ontario","funders":"Canadian Institutes of Health Research; University of Ottawa","keywords":"Environmental planning; Geography; Environmental health; Business; Medicine","score_opus":0.06529487152241545,"score_gpt":0.3567815811908807,"score_spread":0.29148670966846524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1500832267","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00018204469,0.99721414,0.000003594627,0.000063514155,0.00009500795,0.0012292253,0.000093311886,0.00001929181,0.0010998708],"genre_scores_gemma":[0.01647802,0.98290384,0.000010767798,0.0000469868,0.00008566484,0.000059687485,0.000054983768,0.000013816505,0.00034626274],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99847746,0.00020580612,0.00058361207,0.0002098256,0.00027400866,0.0002493031],"domain_scores_gemma":[0.99903256,0.00010749704,0.00053137116,0.00021483576,0.000011123872,0.00010264477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009329032,0.00017878693,0.0007869713,0.000030411682,0.00033071698,0.000009644515,0.00024922108,0.00014340832,0.0000455032],"category_scores_gemma":[0.000009760372,0.00011572887,0.00023910964,0.000043662734,0.00031596422,0.00006822336,0.000014228016,0.00024408472,0.0000037088394],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000001569411,0.00001190489,0.00042070678,0.005504369,0.00002136071,1.0444984e-7,0.0006271939,2.2602016e-10,8.940559e-8,0.0001786359,0.0000034030988,0.99323064],"study_design_scores_gemma":[0.000027434942,0.000015366835,0.0029426687,0.012212334,0.0002864808,5.1285946e-7,0.00006930529,3.0039238e-9,0.0000021037959,0.00012654526,0.98419815,0.0001191042],"about_ca_topic_score_codex":0.0014675942,"about_ca_topic_score_gemma":0.0030019744,"teacher_disagreement_score":0.99311155,"about_ca_system_score_codex":0.00012987487,"about_ca_system_score_gemma":0.00015911018,"threshold_uncertainty_score":0.47192866},"labels":[],"label_agreement":null},{"id":"W1502219335","doi":"10.1111/hdi.12187","title":"Association of increased travel distance to dialysis units with the risk of anemia in rural chronic hemodialysis elderly","year":2014,"lang":"en","type":"article","venue":"Hemodialysis International","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Taiwan University Hospital","keywords":"Medicine; Hemodialysis; Dialysis; Odds ratio; Anemia; Internal medicine; Logistic regression; Malnutrition","score_opus":0.007769341347368214,"score_gpt":0.24573763637893797,"score_spread":0.23796829503156977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1502219335","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9871035,0.000027993445,0.006918331,0.0016201562,0.00009783462,0.00020717703,0.0001005996,0.00001486877,0.0039095166],"genre_scores_gemma":[0.99884,0.00004037823,0.00022914118,0.000050153343,0.00023468063,0.000031215324,0.000069095695,0.0000096090325,0.00049572537],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997423,0.0004919647,0.0005228721,0.00026503493,0.0010417117,0.00025540087],"domain_scores_gemma":[0.9977467,0.0006795351,0.00061077595,0.00029097692,0.00058916607,0.000082833925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021925285,0.00014469803,0.00041236964,0.00024442122,0.00015474796,0.00004564498,0.0006320905,0.00010665626,0.00030491492],"category_scores_gemma":[0.0008885089,0.00010944624,0.00017872053,0.0015469672,0.00018762493,0.0002286612,0.000026199234,0.00016338173,0.0000050376966],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001312527,0.000108771164,0.9852082,0.000011263593,0.00024837867,4.138114e-7,0.0046813195,0.0010868204,0.00068245083,0.0009469184,0.00015642142,0.0067377663],"study_design_scores_gemma":[0.001273656,0.00008105672,0.98848397,0.000052670348,0.0005002479,5.3943946e-8,0.0015320878,0.002171766,0.002880665,0.0005982532,0.0021874385,0.00023812636],"about_ca_topic_score_codex":0.015258349,"about_ca_topic_score_gemma":0.11674644,"teacher_disagreement_score":0.10148809,"about_ca_system_score_codex":0.000496036,"about_ca_system_score_gemma":0.00024373292,"threshold_uncertainty_score":0.99129915},"labels":[],"label_agreement":null},{"id":"W1502458884","doi":"10.1111/jppi.12054","title":"Benefits and Quality of Life Outcomes From Transportation Voucher Use by Adults With Disabilities","year":2013,"lang":"en","type":"article","venue":"Journal of Policy and Practice in Intellectual Disabilities","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Voucher; Quality of life (healthcare); Gerontology; Logistic regression; Psychology; Quality (philosophy); Environmental health; Business; Medicine","score_opus":0.0822370154090876,"score_gpt":0.3553116524569606,"score_spread":0.27307463704787305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1502458884","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99365455,0.0010624181,0.00001549603,0.004016044,0.00005420459,0.00022243612,0.00012762925,0.000008262616,0.00083895115],"genre_scores_gemma":[0.9980992,0.001058475,0.00030585632,0.00021996032,0.00010408627,0.000008054369,0.0000061701953,0.000009252403,0.00018892881],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99770045,0.0005682997,0.0008923546,0.00018511814,0.00043245958,0.00022132846],"domain_scores_gemma":[0.93482053,0.06390648,0.00052192534,0.00014265144,0.00040162378,0.00020678787],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0010005092,0.00016191539,0.0004712344,0.00009226907,0.000117346404,0.00014009814,0.00014096804,0.000117351294,0.00054460595],"category_scores_gemma":[0.090240926,0.00011782635,0.0000788855,0.00020433191,0.0013285822,0.0029022559,0.000008544929,0.00026713609,0.0000012609917],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00092070113,0.00024082143,0.6178328,0.00007291022,0.00005963049,1.345978e-7,0.37659416,0.0000042797456,0.00002243958,0.0015947426,0.00019478094,0.0024626274],"study_design_scores_gemma":[0.0006708906,0.00020932185,0.46985042,0.0001072577,0.00004172011,4.4748515e-7,0.5256662,0.0000018648614,0.00005118394,0.0026011178,0.0006503548,0.00014924574],"about_ca_topic_score_codex":0.15826027,"about_ca_topic_score_gemma":0.025172155,"teacher_disagreement_score":0.14907202,"about_ca_system_score_codex":0.00006380156,"about_ca_system_score_gemma":0.00025043194,"threshold_uncertainty_score":0.99261594},"labels":[],"label_agreement":null},{"id":"W1503674071","doi":"","title":"Density delusion? Urban form and sustainable transport in Australian, Canadian and US cities","year":2009,"lang":"en","type":"article","venue":"RMIT Research Repository (RMIT University Library)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Compact city; Dominance (genetics); Sustainable transport; Mode (computer interface); Economic geography; Smart growth; Travel behavior; Urban density; Urban planning; Geography; Transport engineering; Sustainability; Engineering; Computer science; Civil engineering","score_opus":0.01969665793855614,"score_gpt":0.2609152156817436,"score_spread":0.24121855774318746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1503674071","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9042038,0.00012941545,0.0000012155598,0.0040131263,0.000035770106,0.00039934597,0.000007975019,0.00006598104,0.09114337],"genre_scores_gemma":[0.8613185,0.000118569,0.000054186108,0.00005125924,0.00007666836,5.9795593e-7,0.000009890946,0.0000070773453,0.13836326],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975375,0.00030446134,0.0001763967,0.000468882,0.0004767137,0.0010360252],"domain_scores_gemma":[0.9987145,0.00008798435,0.00003619445,0.00023356068,0.00013379926,0.0007939771],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0007386215,0.00014612818,0.00021825504,0.00057390425,0.0021802827,0.00020177983,0.00040697394,0.00022838192,0.00008534519],"category_scores_gemma":[0.000026876374,0.00016533327,0.000054705804,0.0008499849,0.00081244844,0.0025614763,0.00006230884,0.00049916655,0.0000017790967],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008225738,0.000044976805,0.976936,0.000037772556,0.000007792857,0.0018889345,0.0042956853,4.506309e-7,0.000029088795,0.012317002,0.004123967,0.00023610449],"study_design_scores_gemma":[0.00032912864,0.00007238632,0.88798445,0.00003070142,0.000010135568,0.0000020486793,0.0098256925,0.0000057101443,0.00022237356,0.0017892134,0.09954758,0.00018056182],"about_ca_topic_score_codex":0.45265874,"about_ca_topic_score_gemma":0.32335058,"teacher_disagreement_score":0.12930815,"about_ca_system_score_codex":0.000388014,"about_ca_system_score_gemma":0.0014001486,"threshold_uncertainty_score":0.99911875},"labels":[],"label_agreement":null},{"id":"W1505395017","doi":"10.4000/interventionseconomiques.474","title":"Aspects et mesure de la qualité de vie : évolution et renouvellement des tableaux de bord métropolitains","year":2008,"lang":"fr","type":"article","venue":"Interventions économiques","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Metropolitan area; Humanities; Political science; Sociology; Geography; Philosophy","score_opus":0.08554382827058786,"score_gpt":0.3968649780218859,"score_spread":0.31132114975129804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1505395017","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9031298,0.009023637,0.029164387,0.003976346,0.0003169552,0.00029392328,0.00015007197,0.00017039762,0.053774443],"genre_scores_gemma":[0.97812223,0.0032741753,0.0096845245,0.00044460405,0.0002848009,0.000075909906,0.0000412483,0.000029153067,0.008043325],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9954493,0.002526117,0.0007174396,0.00040910117,0.00012557006,0.0007724704],"domain_scores_gemma":[0.9986506,0.000356666,0.00027260373,0.0002942769,0.00013833884,0.00028748467],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004321754,0.00025858023,0.00034029793,0.00012515947,0.00075215194,0.00016973693,0.00040453626,0.0003028109,0.0013219218],"category_scores_gemma":[0.00031127376,0.0002962837,0.00066803873,0.00027125387,0.0015095563,0.0008488789,0.00006599069,0.00041580878,0.000037412614],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003771402,0.0013084803,0.48727998,0.00033457382,0.00019654616,0.000033719378,0.032650538,0.00010446206,0.00005239921,0.46613285,0.0068061408,0.005062593],"study_design_scores_gemma":[0.00049518683,0.00025345891,0.6089609,0.0008835474,0.00016582613,0.000018446697,0.00586837,0.00018737548,0.00044577842,0.31591764,0.0663986,0.00040486228],"about_ca_topic_score_codex":0.10843847,"about_ca_topic_score_gemma":0.13888326,"teacher_disagreement_score":0.15021522,"about_ca_system_score_codex":0.0022905392,"about_ca_system_score_gemma":0.0015247465,"threshold_uncertainty_score":0.9999489},"labels":[],"label_agreement":null},{"id":"W1505463422","doi":"10.1016/j.ypmed.2015.05.011","title":"Neighborhood walkability: Differential associations with self-reported transport walking and leisure-time physical activity in Canadian towns and cities of all sizes","year":2015,"lang":"en","type":"article","venue":"Preventive Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":61,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo; University of Toronto; Public Health Ontario","funders":"Pilot International Foundation","keywords":"Walkability; Medicine; Demography; Population; Gerontology; Confidence interval; Physical activity; Environmental health; Physical therapy","score_opus":0.02623665185793103,"score_gpt":0.2976087174773081,"score_spread":0.2713720656193771,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1505463422","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99533445,0.00007978923,0.000040183655,0.0012816486,0.000049648985,0.0003894369,0.000033344455,0.000029728713,0.0027617433],"genre_scores_gemma":[0.99964654,0.000014330028,0.000026561991,0.000012527226,0.00010157675,0.000012560471,0.000023743676,0.0000073176748,0.00015484192],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986337,0.00018222728,0.00021701283,0.00027691718,0.0003847381,0.00030541592],"domain_scores_gemma":[0.99912965,0.00016531402,0.00014476656,0.00010892254,0.00013810454,0.00031326048],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008637364,0.0001354386,0.00047579902,0.00009279174,0.00010937077,0.000010859658,0.000085744025,0.0000716749,0.000054087883],"category_scores_gemma":[0.00016012473,0.00010420233,0.00003221371,0.00023581905,0.0005266089,0.00025807883,0.000009827357,0.00015252909,2.0828348e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035896275,0.00017997823,0.96216697,0.000025506726,0.000105283245,0.0000074488644,0.035893593,1.8694881e-7,0.00022406029,0.00019428649,0.000009083075,0.0011576898],"study_design_scores_gemma":[0.0010040979,0.00012225362,0.99462664,0.000054558877,0.00023795434,3.5218773e-7,0.0014747847,0.00005629215,0.00011326057,0.002087235,0.000105685576,0.00011687782],"about_ca_topic_score_codex":0.32943988,"about_ca_topic_score_gemma":0.63020515,"teacher_disagreement_score":0.3007653,"about_ca_system_score_codex":0.00016266547,"about_ca_system_score_gemma":0.00045232335,"threshold_uncertainty_score":0.6750254},"labels":[],"label_agreement":null},{"id":"W1505511839","doi":"10.1016/j.trf.2014.07.004","title":"The happy commuter: A comparison of commuter satisfaction across modes","year":2014,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Public transport; Mode (computer interface); Perception; Transport engineering; Mode choice; Scale (ratio); Preference; Psychology; Business; Geography; Engineering; Computer science; Mathematics; Statistics","score_opus":0.13171811008404236,"score_gpt":0.49733101275595837,"score_spread":0.36561290267191604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1505511839","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99597496,0.00025082385,0.00028064224,0.0020518538,0.0001961714,0.0003502419,0.00004483028,0.000059088594,0.0007913799],"genre_scores_gemma":[0.9992827,0.00024008655,0.00008572283,0.000051785686,0.00006913039,0.000055575947,0.000041491334,0.000008236536,0.00016525871],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99745226,0.0007459783,0.00048516787,0.00029670814,0.00051694916,0.00050296047],"domain_scores_gemma":[0.99860096,0.00058707374,0.00012247972,0.00032247088,0.00022926733,0.00013773402],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.003168716,0.00011562082,0.00024100083,0.000058708556,0.0017899076,0.000068321555,0.0003361142,0.00020341405,0.00008777119],"category_scores_gemma":[0.000036460846,0.0000913088,0.00007636342,0.00028335978,0.0020440682,0.00019740016,0.0000051618927,0.00054642383,0.0000077740515],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015962592,0.0002163916,0.94061416,0.000015384023,0.0000157999,0.0000010490473,0.011930242,0.000034821256,0.00008839046,0.0021599983,0.0013585825,0.04340557],"study_design_scores_gemma":[0.0004987944,0.00013629695,0.9803424,0.000023722614,0.000018000574,1.3504281e-7,0.0038323295,0.00008679662,0.00007694693,0.0004168032,0.014468463,0.00009931413],"about_ca_topic_score_codex":0.0018261201,"about_ca_topic_score_gemma":0.094663255,"teacher_disagreement_score":0.09283713,"about_ca_system_score_codex":0.000014784729,"about_ca_system_score_gemma":0.000043872224,"threshold_uncertainty_score":0.99950963},"labels":[],"label_agreement":null},{"id":"W1509474354","doi":"10.7202/1014553ar","title":"Approche multiscalaire de la mobilité domicile-travail en Île-de-France et dans la région Rhin-Ruhr","year":2013,"lang":"fr","type":"article","venue":"Cahiers de géographie du Québec","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.004357320971221373,"score_gpt":0.22810175907391306,"score_spread":0.22374443810269168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1509474354","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9663079,0.006143473,0.0037118124,0.006996577,0.00043077982,0.0008169429,0.000037653994,0.00028127857,0.015273618],"genre_scores_gemma":[0.9658659,0.0012690562,0.0019273241,0.0010538766,0.00044106864,0.00025124906,0.00001914134,0.00008007277,0.029092325],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9944193,0.0022620936,0.0006492758,0.0008886266,0.00047563371,0.0013051031],"domain_scores_gemma":[0.9965651,0.0016218541,0.00026463834,0.0006326471,0.00015538912,0.0007603916],"candidate_categories":["metaepi_narrow","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0033953818,0.0005490121,0.00057643384,0.00019980743,0.0007948878,0.00030638187,0.0010727608,0.0014048559,0.00040308468],"category_scores_gemma":[0.0004402743,0.0005636956,0.00065098586,0.0013927482,0.02124392,0.00083323295,0.000052487685,0.0014986603,0.0001256653],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056283294,0.00072141533,0.83233863,0.00027685368,0.00015702075,0.000071527385,0.11487079,0.0001006904,0.0028730538,0.012295832,0.007633941,0.028603945],"study_design_scores_gemma":[0.0012757403,0.00008245251,0.8302901,0.00022223238,0.0002410997,0.000026409829,0.010240584,0.0005104134,0.0005133214,0.013560732,0.14217313,0.00086381775],"about_ca_topic_score_codex":0.23716746,"about_ca_topic_score_gemma":0.13109128,"teacher_disagreement_score":0.13453917,"about_ca_system_score_codex":0.00095678074,"about_ca_system_score_gemma":0.0015935905,"threshold_uncertainty_score":0.9998915},"labels":[],"label_agreement":null},{"id":"W1509509531","doi":"10.1023/a:1005207320044","title":"Activity settings and travel behaviour: A social contact perspective","year":2000,"lang":"en","type":"article","venue":"Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":82,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Context (archaeology); Relevance (law); Working time; Social environment; Work (physics); Social relation; Social isolation; Travel behavior; Sociology; Psychology; Social psychology; Public relations; Geography; Engineering; Political science; Transport engineering; Social science","score_opus":0.015492175959147137,"score_gpt":0.30479803788135496,"score_spread":0.2893058619222078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1509509531","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98917973,0.000033356242,0.00007639875,0.0013617049,0.000033529832,0.00022087435,0.000054343825,0.00007376173,0.0089662755],"genre_scores_gemma":[0.99901617,0.000022571738,0.00004299674,0.000070783244,0.00010208241,0.000011059537,0.000031942833,0.000007833047,0.0006945594],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99916226,0.000047336263,0.00012779514,0.0002420465,0.00022303939,0.00019750862],"domain_scores_gemma":[0.9997475,0.000023861054,0.00004678539,0.000048289465,0.000060887553,0.00007267966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021862923,0.00009178905,0.00013463908,0.000026207234,0.0005005721,0.000039161885,0.000067098874,0.00009776913,0.00090001035],"category_scores_gemma":[0.0000039469883,0.000097401025,0.00006448016,0.00014203724,0.00016254073,0.00042729315,3.0453472e-7,0.0001221094,0.000009108091],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022375668,0.00021945545,0.7702325,0.000021223355,0.000024822828,0.000013215859,0.19508757,6.4846324e-7,0.0009234275,0.010357222,0.00010283033,0.022793336],"study_design_scores_gemma":[0.00033949813,0.00002145103,0.99178684,0.00000551302,0.000051895975,5.675874e-8,0.0059049455,0.0000028991858,0.00017802502,0.0011623178,0.00042722246,0.00011934612],"about_ca_topic_score_codex":0.0099783605,"about_ca_topic_score_gemma":0.015870066,"teacher_disagreement_score":0.22155432,"about_ca_system_score_codex":0.00006297996,"about_ca_system_score_gemma":0.00007214457,"threshold_uncertainty_score":0.9966143},"labels":[],"label_agreement":null},{"id":"W151381034","doi":"","title":"A Method for Studying Traffic Congestion Using New Data: Focusing on the Canadian Regions of Toronto and Hamilton","year":2015,"lang":"en","type":"article","venue":"Transportation Research Board 94th Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Traffic congestion; Gridlock; Context (archaeology); Metropolitan area; Computer science; Network congestion; Transport engineering; Operations research; Geography; Computer security; Engineering; Politics","score_opus":0.3704213517863537,"score_gpt":0.4943612729799336,"score_spread":0.12393992119357988,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W151381034","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9824325,0.0007063132,0.0034070893,0.006755495,0.00021419712,0.0040404573,0.00075302436,0.000105505685,0.0015854383],"genre_scores_gemma":[0.98597,0.00020796403,0.012363332,0.00008579415,0.00038692894,0.00014419158,0.00036968605,0.000060409642,0.00041170258],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99085546,0.001960588,0.0009944205,0.0010927411,0.0035846094,0.0015122136],"domain_scores_gemma":[0.9907384,0.0027571577,0.00025025316,0.0008024275,0.004024005,0.0014277411],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.021549886,0.00030540075,0.0004940952,0.0005246767,0.0029105681,0.00031708454,0.0011249884,0.00035126734,0.00008546449],"category_scores_gemma":[0.0012403608,0.0002715434,0.00013256108,0.0012722712,0.0013184627,0.0014494867,0.00001237788,0.00095010386,0.000003851695],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005632074,0.0010466962,0.20544332,0.0010508222,0.00059772964,0.00012253835,0.55600053,0.010669321,0.0015344855,0.15160966,0.023127401,0.043165423],"study_design_scores_gemma":[0.006035848,0.0018928593,0.5554665,0.0012015847,0.0003942849,4.850521e-7,0.28738403,0.006648497,0.00072014634,0.012045879,0.12674193,0.0014679977],"about_ca_topic_score_codex":0.89714813,"about_ca_topic_score_gemma":0.9881048,"teacher_disagreement_score":0.35002315,"about_ca_system_score_codex":0.0007699236,"about_ca_system_score_gemma":0.005365215,"threshold_uncertainty_score":0.99997365},"labels":[],"label_agreement":null},{"id":"W1515925473","doi":"10.1016/j.regsciurbeco.2009.07.003","title":"The minimum circuity frontier and the journey to work","year":2009,"lang":"en","type":"article","venue":"Regional Science and Urban Economics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"McGill University; University of Minnesota","keywords":"Destinations; Residence; Frontier; Work (physics); Metropolitan area; Selection (genetic algorithm); Geography; Economic geography; Transport engineering; Regional science; Computer science; Engineering; Demographic economics; Economics; Tourism; Artificial intelligence","score_opus":0.03235347733171719,"score_gpt":0.2768056619209053,"score_spread":0.2444521845891881,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1515925473","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9370971,0.00070506724,0.000023556599,0.052878972,0.00018404846,0.00019473035,0.0000011321786,0.000011131465,0.008904283],"genre_scores_gemma":[0.99528635,0.00052363233,0.000043203265,0.002720101,0.00024442252,0.0000034985937,2.1582028e-7,0.000001841097,0.001176724],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99904835,0.000038352202,0.00015496668,0.0002594168,0.00018415137,0.00031473432],"domain_scores_gemma":[0.99933696,0.00015397994,0.000062698775,0.00016754578,0.00006849376,0.00021032362],"candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0025706065,0.000072589086,0.0001086627,0.00002871672,0.0023192624,0.0004679013,0.00048081102,0.00003522175,0.0000072319276],"category_scores_gemma":[0.00012009497,0.000041853582,0.00003544083,0.0002752414,0.0028848993,0.00038817932,0.000028827468,0.000090617774,0.000004382852],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023501327,0.00005478006,0.39774278,0.0000022764557,0.000015673564,0.0000013419392,0.020768585,0.0000109670145,0.000015893054,0.44264698,0.04084341,0.097662315],"study_design_scores_gemma":[0.00030768468,0.000020915462,0.6713023,0.0000072966577,0.000009079284,7.833955e-7,0.0017483212,0.00007127373,0.00000464001,0.042939067,0.28345296,0.00013566577],"about_ca_topic_score_codex":0.00016579124,"about_ca_topic_score_gemma":0.00056536356,"teacher_disagreement_score":0.3997079,"about_ca_system_score_codex":0.00007423774,"about_ca_system_score_gemma":0.0002849224,"threshold_uncertainty_score":0.9998287},"labels":[],"label_agreement":null},{"id":"W1516409187","doi":"10.1007/s13547-012-0033-9","title":"De la légitimité du transport en commun au Québec : un exemple simple de mesure de ses contributions au développement durable","year":2012,"lang":"fr","type":"article","venue":"Recherche Transports Sécurité","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Political science; Humanities; Art","score_opus":0.05697001770267607,"score_gpt":0.35697533257980635,"score_spread":0.3000053148771303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1516409187","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94515723,0.009013074,0.008235877,0.024900058,0.00049397844,0.0009849572,0.0007705726,0.00034974248,0.0100945],"genre_scores_gemma":[0.9874157,0.0033036629,0.0034002394,0.00063944864,0.0013310867,0.00020763396,0.00036086698,0.000111486006,0.0032298754],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99019843,0.0039669955,0.0012168868,0.00068857253,0.00071381783,0.003215268],"domain_scores_gemma":[0.9945059,0.0027147694,0.00031186893,0.0007468758,0.00025800327,0.0014625753],"candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.017754478,0.00076372223,0.0009859736,0.0001176903,0.0017475504,0.000099363526,0.0010187314,0.0019398662,0.0028437204],"category_scores_gemma":[0.00033328,0.0008298906,0.0007634549,0.0010164849,0.0015347103,0.0011176314,0.000024769812,0.0021934689,0.000035229943],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.00011205424,0.00189946,0.8696002,0.0003440084,0.0002720323,0.00012655799,0.110370405,0.00009286834,0.0003226525,0.0076460354,0.00076142675,0.008452319],"study_design_scores_gemma":[0.0011970669,0.00005970192,0.7559779,0.00021278263,0.0009139247,0.000034446937,0.0027718984,0.000034969813,0.0030672678,0.010111312,0.22478764,0.00083105406],"about_ca_topic_score_codex":0.57185066,"about_ca_topic_score_gemma":0.409672,"teacher_disagreement_score":0.22402622,"about_ca_system_score_codex":0.0073360116,"about_ca_system_score_gemma":0.009474271,"threshold_uncertainty_score":0.999552},"labels":[],"label_agreement":null},{"id":"W1516964172","doi":"10.1016/j.tbs.2018.12.002","title":"Transport sufficiency: Introduction & case study","year":2018,"lang":"en","type":"article","venue":"Travel Behaviour and Society","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"TRIPS architecture; Sustainability; Key (lock); Environmental economics; Variable (mathematics); Transport engineering; Private transport; Personal mobility; Duration (music); Business; Consumption (sociology); Public transport; Quality (philosophy); Energy consumption; Sustainable transport; Travel behavior; Computer science; Economics; Engineering; Computer security; Mathematics; Ecology","score_opus":0.03575759102164059,"score_gpt":0.3313853791645449,"score_spread":0.2956277881429043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1516964172","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968638,0.000031569292,0.000582432,0.00043222288,0.0003766649,0.00038743558,0.000012708837,0.000096118216,0.0012170621],"genre_scores_gemma":[0.99696535,0.000015965757,0.00026615654,0.000062840074,0.0009089166,0.000011732821,0.000010439742,0.000010293103,0.0017483063],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986321,0.000068815236,0.00023818221,0.00042343428,0.00031000402,0.0003274624],"domain_scores_gemma":[0.99942666,0.000016788646,0.000050275565,0.00021235574,0.00013573044,0.000158159],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0009969294,0.00013355048,0.00017633742,0.000019908985,0.0013175814,0.00005476195,0.00012708847,0.0001222884,0.00047542277],"category_scores_gemma":[0.000008036001,0.00012438286,0.00012324963,0.0002780877,0.00080520945,0.00024396939,0.000008634007,0.00018410837,0.0000094403],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000607024,0.0004524242,0.85821116,0.0000040894683,0.000011669896,0.000036064474,0.1398097,5.198528e-8,0.000045326804,0.00022368226,0.0005218489,0.0006779131],"study_design_scores_gemma":[0.00041726098,0.00011735154,0.9189066,0.0000018224736,0.00012131792,0.000018013594,0.078728,0.0000029731489,0.000028067834,0.00010115946,0.0013610929,0.00019630052],"about_ca_topic_score_codex":0.019144524,"about_ca_topic_score_gemma":0.025238222,"teacher_disagreement_score":0.061081704,"about_ca_system_score_codex":0.00004569367,"about_ca_system_score_gemma":0.00010326366,"threshold_uncertainty_score":0.9999826},"labels":[],"label_agreement":null},{"id":"W1520965365","doi":"","title":"Building Support for Transit-Oriented Development: Do Community-Engagement Toolkits Work?","year":2009,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Outreach; Work (physics); Metropolitan area; Community engagement; Public relations; Community development; Population; Transit-oriented development; Quarter (Canadian coin); Built environment; Business; Engineering; Political science; Transport engineering; Geography; Public transport; Sociology; Civil engineering","score_opus":0.04036257311360903,"score_gpt":0.2774775962086001,"score_spread":0.23711502309499105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1520965365","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9248431,0.00011749457,0.0054473598,0.0012354704,0.00023332468,0.0010081043,0.00063673407,0.0007043323,0.065774105],"genre_scores_gemma":[0.9885334,0.000005619563,0.007962186,0.0009173955,0.00017609702,0.000032255248,0.0007657267,0.00004216501,0.0015651506],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9971802,0.00031220503,0.0006581348,0.00044160598,0.0005771044,0.00083071203],"domain_scores_gemma":[0.9985991,0.00032376134,0.0001476766,0.00040143798,0.000083757244,0.00044424247],"candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0015116001,0.00032696623,0.00034270907,0.00015640425,0.0018624526,0.0016151036,0.00093207735,0.0002067296,0.00057243346],"category_scores_gemma":[0.00030780304,0.00032424123,0.0002328819,0.00083856785,0.00018477661,0.00482871,0.0000664607,0.0008513398,0.00021603184],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007331604,0.001964009,0.6261565,0.00016620968,0.00014451612,0.000041928648,0.007647747,0.00000899307,0.00013201103,0.022768442,0.0044254884,0.335811],"study_design_scores_gemma":[0.0008500434,0.00010919233,0.084647246,0.0001131062,0.000028937839,4.1355204e-7,0.00053995,0.0000016654973,0.0015204813,0.013888079,0.8977154,0.0005854677],"about_ca_topic_score_codex":0.000007434479,"about_ca_topic_score_gemma":0.000015374002,"teacher_disagreement_score":0.8932899,"about_ca_system_score_codex":0.000093199866,"about_ca_system_score_gemma":0.00038120322,"threshold_uncertainty_score":0.99992096},"labels":[],"label_agreement":null},{"id":"W1524007543","doi":"10.4000/cybergeo.7872","title":"Analyse des aires de marché du commerce de détail à Québec : une méthodologie combinant une enquête de mobilité et un système d’information géographique","year":2011,"lang":"fr","type":"article","venue":"Cybergeo","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"","keywords":"Humanities; Metropolitan area; Political science; Geography; Art","score_opus":0.05380997856957438,"score_gpt":0.29870484258489816,"score_spread":0.2448948640153238,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1524007543","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.973409,0.0043352298,0.0076845437,0.008127997,0.00035230385,0.0004770041,0.00006622362,0.00019301413,0.00535468],"genre_scores_gemma":[0.9911773,0.0025923746,0.0041875225,0.0009374602,0.00009673542,0.000086028595,0.000050233488,0.000025589687,0.0008467306],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9958066,0.0014980483,0.0008074566,0.00038742647,0.0003243324,0.0011761825],"domain_scores_gemma":[0.9978462,0.0005349603,0.00036346953,0.00053071644,0.0002496579,0.00047501628],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0044001597,0.00036841852,0.00052343396,0.00021221739,0.0009450228,0.00014424375,0.0008125822,0.00044731275,0.0005326062],"category_scores_gemma":[0.0004853235,0.00036820394,0.00039316024,0.001845728,0.0033115738,0.0013109613,0.00009903646,0.0005077418,0.000072465],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012069293,0.0004936606,0.892738,0.0002683281,0.00013414721,0.00003810698,0.047804885,0.00007225909,0.000053969678,0.01657024,0.0007433604,0.040962383],"study_design_scores_gemma":[0.0004705686,0.00014111109,0.9316704,0.00019720559,0.0002456295,0.000007398211,0.0054201214,0.00034486194,0.00062037556,0.052344006,0.008121158,0.00041716182],"about_ca_topic_score_codex":0.911065,"about_ca_topic_score_gemma":0.74826634,"teacher_disagreement_score":0.16279861,"about_ca_system_score_codex":0.0011579216,"about_ca_system_score_gemma":0.0017867995,"threshold_uncertainty_score":0.999877},"labels":[],"label_agreement":null},{"id":"W1524121516","doi":"10.1007/bf03405486","title":"The Geography of Overweight in Quebec: A Multilevel Perspective","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université Laval; Institut National de Santé Publique du Québec","funders":"","keywords":"Overweight; Multilevel model; Obesity; Geography; Perspective (graphical); Odds; Demography; Scale (ratio); Spatial ecology; Multilevel modelling; Logistic regression; Gerontology; Medicine; Cartography; Sociology; Statistics; Computer science; Mathematics","score_opus":0.038285314225997034,"score_gpt":0.3277180315754919,"score_spread":0.2894327173494949,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1524121516","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88585365,0.0039037114,0.000108488624,0.10035545,0.00032031717,0.00018980146,0.000017163547,0.000004122232,0.009247308],"genre_scores_gemma":[0.9989502,0.0001092381,0.00005636912,0.0006321528,0.00013182848,4.4461063e-7,4.5652752e-7,0.000002628043,0.00011670843],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984045,0.00027701774,0.0004413188,0.000086890475,0.0002562032,0.00053407473],"domain_scores_gemma":[0.9980866,0.00010034376,0.00030781393,0.00010630421,0.00038790738,0.0010110871],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003313556,0.000060692244,0.00018918554,0.00032160373,0.00039754438,0.00009267416,0.00038126204,0.000053245083,0.00007247159],"category_scores_gemma":[0.00048611395,0.00004470985,0.00010480315,0.0005357425,0.0003457767,0.0003972984,0.0000014773844,0.0002512035,5.3109517e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000053277045,0.000052930693,0.8549045,0.0000047059148,0.000013537569,0.00001685574,0.04311532,8.962365e-7,5.0524744e-7,0.044279475,0.001597654,0.05600834],"study_design_scores_gemma":[0.00018650586,0.00006266647,0.9321517,0.000023008479,0.0000015806131,5.3978323e-7,0.014458425,0.0000030864662,7.073957e-7,0.00797411,0.045092564,0.000045118926],"about_ca_topic_score_codex":0.8384798,"about_ca_topic_score_gemma":0.98469406,"teacher_disagreement_score":0.14621426,"about_ca_system_score_codex":0.00086193474,"about_ca_system_score_gemma":0.016215023,"threshold_uncertainty_score":0.9893621},"labels":[],"label_agreement":null},{"id":"W1524474340","doi":"","title":"Terminal Accessibility Standards: An Unmet Need Whose Time Has Come for Action","year":2007,"lang":"en","type":"article","venue":"11th International Conference on Mobility and Transport for Elderly and Disabled Persons (TRANSED)Transport CanadaTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Agency (philosophy); Work (physics); Terminal (telecommunication); Action (physics); Compliance (psychology); Operations research; Transport engineering; Computer science; Process management; Engineering management; Business; Engineering; Telecommunications; Sociology; Psychology","score_opus":0.1302523268579589,"score_gpt":0.4314287113259765,"score_spread":0.3011763844680176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1524474340","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96148103,0.00007613127,0.019343387,0.003951651,0.00038181889,0.00339805,0.007880241,0.00018689461,0.0033007865],"genre_scores_gemma":[0.99392575,0.00019614899,0.00110075,0.00017841072,0.000261432,0.00039541515,0.0029673006,0.0000578075,0.00091700215],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9930637,0.0002130252,0.0012757046,0.0016860333,0.0023269155,0.0014346333],"domain_scores_gemma":[0.99553007,0.00066739944,0.00023095557,0.0005424271,0.001855831,0.0011733405],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0080491975,0.0005886898,0.0007707928,0.0005213645,0.0025478255,0.00032802337,0.0007806897,0.0005495041,0.0012185578],"category_scores_gemma":[0.00010147334,0.00060583855,0.00036955747,0.00056822755,0.0023201797,0.0019103602,0.000004913381,0.0008052101,0.0000015941353],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.026335487,0.0031139753,0.8098752,0.0021554767,0.00062731333,0.00014563411,0.028903732,0.000090430316,0.004488082,0.08828485,0.0003887653,0.03559104],"study_design_scores_gemma":[0.0073279724,0.0020903517,0.891394,0.00034689507,0.000450788,0.000002920102,0.01828003,0.0008726375,0.0010874,0.018077308,0.0584958,0.0015738521],"about_ca_topic_score_codex":0.030773662,"about_ca_topic_score_gemma":0.45180553,"teacher_disagreement_score":0.42103186,"about_ca_system_score_codex":0.00040953927,"about_ca_system_score_gemma":0.0021939902,"threshold_uncertainty_score":0.99969447},"labels":[],"label_agreement":null},{"id":"W1527083716","doi":"10.1007/bf03403831","title":"Smart Cities, Healthy Kids: The Association Between Neighbourhood Design and Children’s Physical Activity and Time Spent Sedentary","year":2012,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Institute of Nutrition, Metabolism and Diabetes; Canadian Institutes of Health Research; Heart and Stroke Foundation of Canada","keywords":"Neighbourhood (mathematics); Physical activity; Sedentary behavior; Association (psychology); Urban design; Gerontology; Geography; Psychology; Medicine; Physical therapy; Mathematics","score_opus":0.050133852392296445,"score_gpt":0.3012029571429835,"score_spread":0.25106910475068706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1527083716","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9535481,0.00083078194,0.00026985555,0.04454526,0.00019105783,0.00025576912,0.00003910031,0.0000065044787,0.0003135945],"genre_scores_gemma":[0.9974787,0.000081278435,0.00006304395,0.0010262614,0.0012466608,0.0000014313225,0.000004766014,0.0000075277967,0.000090280395],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99759376,0.000952059,0.00023778196,0.0001094669,0.000342109,0.00076483993],"domain_scores_gemma":[0.9968284,0.00032865215,0.0003649125,0.00008602525,0.00009071291,0.002301323],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0065501574,0.00009635651,0.00026478225,0.000105399624,0.00095073896,0.00019526949,0.0001795997,0.00007374416,0.0000939215],"category_scores_gemma":[0.00023148862,0.00007504211,0.000051117542,0.00019295473,0.00019759788,0.0008548685,0.00000787381,0.00036827225,0.0000029630075],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000027913582,0.000027172737,0.969715,0.000005900864,0.000037314327,5.564651e-7,0.008228555,9.950465e-8,3.7047198e-7,0.0002921748,0.0016570538,0.020033019],"study_design_scores_gemma":[0.00020430336,0.00008817243,0.9927618,0.000009958931,0.000019218847,0.0000023170514,0.00061549194,0.0000044758353,0.0000012682937,0.00027320607,0.005946058,0.00007373534],"about_ca_topic_score_codex":0.122727,"about_ca_topic_score_gemma":0.06205843,"teacher_disagreement_score":0.060668565,"about_ca_system_score_codex":0.0012001953,"about_ca_system_score_gemma":0.0055239075,"threshold_uncertainty_score":0.97991747},"labels":[],"label_agreement":null},{"id":"W1527594479","doi":"","title":"TransLink Access Transit Strategy & Implementation","year":2010,"lang":"en","type":"article","venue":"TRANSED 2010: 12th International Conference on Mobility and Transport for Elderly and Disabled PersonsHong Kong Society for RehabilitationS K Yee Medical FoundationTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Public transport; Plan (archaeology); Population ageing; Universal design; Business; Population; Transit system; Public relations; Transit (satellite); Transport engineering; Political science; Computer science; Geography; Engineering; Medicine; Environmental health","score_opus":0.11772944468233104,"score_gpt":0.46767908522370805,"score_spread":0.349949640541377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1527594479","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9297447,0.000060702318,0.03484181,0.027818358,0.0007176652,0.004170629,0.0012191479,0.00016291258,0.0012640558],"genre_scores_gemma":[0.9921667,0.00045149017,0.002882978,0.0002003396,0.00027361498,0.0016338307,0.0018857332,0.000040708845,0.00046458293],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9950764,0.00017580632,0.0010412715,0.001152051,0.0017218501,0.00083258975],"domain_scores_gemma":[0.9952662,0.0019689726,0.00014931484,0.00032792095,0.001589297,0.00069827645],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0041834647,0.00038732856,0.00048159488,0.00022788132,0.0023478223,0.00044787038,0.0006669028,0.00057452143,0.003102883],"category_scores_gemma":[0.00032532026,0.00039147437,0.0006045043,0.00047809113,0.0026804288,0.0015009642,0.000005306177,0.0010319566,0.0000028355516],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0030132176,0.0026019753,0.21311648,0.0018293284,0.0008162871,0.000005349688,0.06429168,0.00008960317,0.003952468,0.5863132,0.0007217395,0.123248674],"study_design_scores_gemma":[0.013066343,0.001785207,0.76303405,0.00030175527,0.0005124534,0.0000013022257,0.05056119,0.0036768063,0.00032215865,0.14350186,0.021837503,0.0013993643],"about_ca_topic_score_codex":0.0036376158,"about_ca_topic_score_gemma":0.099967614,"teacher_disagreement_score":0.5499176,"about_ca_system_score_codex":0.00010100768,"about_ca_system_score_gemma":0.0013327643,"threshold_uncertainty_score":0.99985373},"labels":[],"label_agreement":null},{"id":"W1528029253","doi":"","title":"Ten Minutes Wide: Human Walking Capacities and the Experiential Quality of Campus Design.","year":2011,"lang":"en","type":"article","venue":"Planning for higher education","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mile; Metropolitan area; Quarter (Canadian coin); Population; TRIPS architecture; Destinations; Sociology; Transport engineering; Geography; Demography; Engineering","score_opus":0.12515386905826248,"score_gpt":0.3770426136151832,"score_spread":0.25188874455692073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1528029253","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99393594,0.00069305836,0.0005091825,0.00017965527,0.0005935901,0.00029812465,0.000003896248,0.000024234168,0.0037622899],"genre_scores_gemma":[0.99618244,0.000001734614,0.0014017951,0.00004247618,0.00018179884,0.000081308724,0.0000115715975,0.0000047771387,0.0020920986],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993031,0.00012995143,0.00019815147,0.00012618766,0.00011803803,0.0001245494],"domain_scores_gemma":[0.99935704,0.00027881635,0.00015286208,0.00009852509,0.00008123258,0.00003153576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082101946,0.000060153718,0.00011742229,0.000028285398,0.00044069,0.000030430703,0.00012327173,0.000047223577,0.000097057266],"category_scores_gemma":[0.00007312827,0.00004461414,0.000039404935,0.0000618583,0.00061472104,0.00018533327,0.0000062410563,0.000041356114,2.8250162e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011990229,0.000086994594,0.60221004,0.000057596408,0.000021132575,5.358379e-8,0.36067113,5.332505e-7,0.000227194,0.034926187,0.0011530803,0.000526185],"study_design_scores_gemma":[0.00044173095,0.00002538639,0.92174613,0.000047025846,0.000040864405,5.2548028e-8,0.032635543,0.0000015476177,0.0014942519,0.040430035,0.0030088332,0.00012861885],"about_ca_topic_score_codex":0.006458658,"about_ca_topic_score_gemma":0.00017479753,"teacher_disagreement_score":0.32803556,"about_ca_system_score_codex":0.000019436895,"about_ca_system_score_gemma":0.00008597352,"threshold_uncertainty_score":0.9763602},"labels":[],"label_agreement":null},{"id":"W1528458767","doi":"","title":"Rethinking the Migration Effects of Natural Amenities: Part II/Repenser Les Effets Des Amenites Naturelles Sur la Migration","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Regional Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Context (archaeology); Political science; Geography; Philosophy; Archaeology","score_opus":0.01874896012134742,"score_gpt":0.2595008666509265,"score_spread":0.24075190652957906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1528458767","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9899553,0.0026613113,0.000022707685,0.0062897555,0.0003086333,0.00011505959,0.0000016541408,0.0000060444263,0.00063952664],"genre_scores_gemma":[0.99888396,0.00016711687,0.0002324987,0.0003037438,0.00018339384,9.0800336e-7,0.0000013111022,0.000002882797,0.00022419346],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99841255,0.00017231175,0.00028044052,0.0001444273,0.0006846515,0.00030560876],"domain_scores_gemma":[0.99822485,0.00049484964,0.00030814248,0.00010795689,0.00060346164,0.00026076075],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0017269131,0.00009843925,0.00014620613,0.00019011092,0.0017253655,0.00017273593,0.00059547153,0.00007703014,0.000018085859],"category_scores_gemma":[0.0008413581,0.00006672483,0.00010685387,0.0006633261,0.002539586,0.00096595206,0.0000055275173,0.00029707386,3.8943475e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016486051,0.00019303383,0.5811042,0.000112025315,0.00007763139,0.00023517493,0.25948888,0.00025924217,0.020610388,0.04858473,0.014270302,0.07489955],"study_design_scores_gemma":[0.0005059861,0.00036142132,0.87271273,0.0009415212,0.00006421379,0.000041703195,0.0038665212,0.00011415758,0.008454343,0.055113554,0.057448328,0.00037554727],"about_ca_topic_score_codex":0.020356052,"about_ca_topic_score_gemma":0.37618074,"teacher_disagreement_score":0.35582468,"about_ca_system_score_codex":0.00017369215,"about_ca_system_score_gemma":0.002134801,"threshold_uncertainty_score":0.99957424},"labels":[],"label_agreement":null},{"id":"W1528684347","doi":"10.7202/1008840ar","title":"La carte conceptuelle du transport actif urbain","year":2012,"lang":"fr","type":"article","venue":"Cahiers de géographie du Québec","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Philosophy","score_opus":0.009898028433141328,"score_gpt":0.23317237966776458,"score_spread":0.22327435123462325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1528684347","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8898097,0.031550866,0.0007143427,0.006926724,0.0023925474,0.00037631957,0.000057978035,0.00020155002,0.06796994],"genre_scores_gemma":[0.9655304,0.0010775959,0.00014480464,0.0009077858,0.0017366207,0.000045139757,0.00002669288,0.00005946375,0.030471472],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99613345,0.0007673056,0.0005618487,0.0005402928,0.0005172591,0.0014798528],"domain_scores_gemma":[0.9976221,0.00049424684,0.00022589478,0.00046437533,0.00012435926,0.0010690383],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002363787,0.00046147007,0.00054255576,0.00019008321,0.0009933218,0.00006678317,0.000658307,0.00095709163,0.0022148255],"category_scores_gemma":[0.000102545164,0.000494069,0.0007367527,0.0016327426,0.021422574,0.0011055974,0.00001669411,0.0010225386,0.00016792561],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054847053,0.00048042752,0.86547273,0.000099400706,0.00016334384,0.0000654809,0.05900089,0.0000041369717,0.00006840521,0.051957708,0.008834641,0.013798011],"study_design_scores_gemma":[0.0005027392,0.000035371326,0.29448316,0.00004166716,0.00031508564,0.000008001909,0.0046008676,0.000005186743,0.00008377551,0.00076635595,0.6986774,0.0004803809],"about_ca_topic_score_codex":0.08291759,"about_ca_topic_score_gemma":0.14776298,"teacher_disagreement_score":0.68984276,"about_ca_system_score_codex":0.000584917,"about_ca_system_score_gemma":0.0010864016,"threshold_uncertainty_score":0.9997511},"labels":[],"label_agreement":null},{"id":"W1530312491","doi":"10.1002/9781118558041.ch2","title":"Commuting and Gender","year":2011,"lang":"en","type":"other","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sociology; Geography; Gender studies","score_opus":0.08102806799922731,"score_gpt":0.32531021668286536,"score_spread":0.24428214868363807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1530312491","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0002634283,0.0006750436,0.000058750495,0.000024209387,0.00011304496,0.00007978528,0.0000026724222,0.0001565416,0.99862653],"genre_scores_gemma":[0.04770614,0.00008936906,0.00041007713,0.000077987854,0.00020052458,0.0000012450018,0.0000025437503,0.000046836107,0.95146525],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996097,0.000025922052,0.00005350532,0.00011611493,0.000079420206,0.00011534854],"domain_scores_gemma":[0.9998051,0.000009791022,0.000035875695,0.0000951266,0.0000058453215,0.000048292455],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00015021706,0.000058684633,0.0000873766,0.000026701317,0.000091121234,0.000018697927,0.00010901939,0.00013791083,0.0362051],"category_scores_gemma":[0.000005684627,0.000048485705,0.000019740128,0.000033935783,0.00017880209,0.000024080697,0.000012462416,0.000066119785,0.000058859903],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000010186159,0.000023438955,0.29026383,0.000049643902,0.000024925292,0.0000022612408,0.0060770586,4.869492e-10,4.506621e-7,0.0226736,0.6759396,0.004944166],"study_design_scores_gemma":[0.00003654349,0.0000012687806,0.011058314,0.000009437063,0.000011411439,1.5698307e-8,0.00033981816,7.9519914e-8,7.198695e-7,0.0021320765,0.9863171,0.000093224175],"about_ca_topic_score_codex":0.019826164,"about_ca_topic_score_gemma":0.03236372,"teacher_disagreement_score":0.3103775,"about_ca_system_score_codex":0.0000051406446,"about_ca_system_score_gemma":0.000028818082,"threshold_uncertainty_score":0.9867009},"labels":[],"label_agreement":null},{"id":"W1530614260","doi":"10.1007/978-3-540-24709-8_105","title":"A Spatial Multivariate Approach to the Analysis of Accessibility to Health Care Facilities in Canada","year":2004,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Multivariate statistics; Computer science; Service (business); Population; Set (abstract data type); Operations research; Focus (optics); Multivariate analysis; Key (lock); Variable (mathematics); Computer security; Machine learning; Engineering; Business; Medicine; Mathematics; Environmental health; Marketing","score_opus":0.02566000944110793,"score_gpt":0.2891104021181015,"score_spread":0.2634503926769936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1530614260","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0849526,0.0004422315,0.90396035,0.0026917413,0.0009813511,0.0021311643,0.00040628284,0.000036769557,0.004397509],"genre_scores_gemma":[0.9909177,0.0000034994687,0.008072051,0.0007912591,0.000116894684,0.000014168965,0.0000175695,0.000008060171,0.000058830647],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99625415,0.000105894724,0.0006808438,0.0010910004,0.001250904,0.00061721454],"domain_scores_gemma":[0.99827343,0.00023510265,0.00022689327,0.00077550724,0.0002427818,0.0002463111],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014171496,0.0002915345,0.00075805455,0.00060878316,0.0003585914,0.000121220044,0.0019753124,0.0001318445,0.000052086445],"category_scores_gemma":[0.00014492802,0.00022034136,0.00013907239,0.0020427692,0.0005589911,0.0001548312,0.00025068392,0.00043688127,9.321803e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052105483,0.00007562826,0.10602153,0.00020302166,0.00007673281,0.0000082961,0.20870808,0.38174853,0.0000027115002,0.0012698461,0.000008982008,0.30182454],"study_design_scores_gemma":[0.00053583813,0.00014760956,0.96738565,0.00047249204,0.0001316659,2.2215414e-7,0.0006262004,0.016223265,0.00009919017,0.010947204,0.0020297014,0.001400965],"about_ca_topic_score_codex":0.9846126,"about_ca_topic_score_gemma":0.9988806,"teacher_disagreement_score":0.9059651,"about_ca_system_score_codex":0.0033198188,"about_ca_system_score_gemma":0.011048847,"threshold_uncertainty_score":0.99455756},"labels":[],"label_agreement":null},{"id":"W1531312247","doi":"10.17269/cjph.105.4561","title":"Influence of area deprivation and perceived neighbourhood safety on active transport to school among urban Quebec preadolescents","year":2014,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université du Québec à Trois-Rivières; Université de Montréal; Lucie and André Chagnon Foundation; Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Neighbourhood (mathematics); Psychology; Geography; Demography; Environmental health; Developmental psychology; Medicine; Sociology; Mathematics","score_opus":0.024441760935321195,"score_gpt":0.2769504156767804,"score_spread":0.2525086547414592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1531312247","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99133885,0.000034943325,0.0003781262,0.006723029,0.00007141627,0.0002783695,0.000033821958,0.0000065122645,0.0011349184],"genre_scores_gemma":[0.99863565,0.000014632023,0.000060306756,0.0010721738,0.00012449367,0.0000014307367,0.0000051631555,0.000008269668,0.00007786653],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981693,0.00027436038,0.00053833565,0.00017991492,0.00035263767,0.00048543653],"domain_scores_gemma":[0.99612844,0.00006381506,0.0003696001,0.0001503591,0.00038541912,0.0029023609],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019601276,0.00010887341,0.0003284288,0.00030491597,0.000364917,0.00005543411,0.0003048849,0.00009266062,0.00011661073],"category_scores_gemma":[0.0006641893,0.000102804974,0.00007547274,0.0003519327,0.00024368202,0.000730814,0.00000283564,0.00028489978,0.0000014559198],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017417464,0.000027776538,0.973378,0.00002375652,0.00003426037,0.0000021548722,0.017787434,0.00004910759,0.000006857384,0.0005555335,0.00007526569,0.008042445],"study_design_scores_gemma":[0.00026633384,0.00012517131,0.99508417,0.00010596612,0.000020092424,3.9998451e-7,0.0015681357,0.000004099862,0.0000051388083,0.00008257563,0.0026500097,0.00008792255],"about_ca_topic_score_codex":0.3969827,"about_ca_topic_score_gemma":0.90071654,"teacher_disagreement_score":0.5037338,"about_ca_system_score_codex":0.00078620476,"about_ca_system_score_gemma":0.0065810094,"threshold_uncertainty_score":0.99905074},"labels":[],"label_agreement":null},{"id":"W1534967619","doi":"10.1123/apaq.28.1.1","title":"Universal Accessibility of “Accessible” Fitness and Recreational Facilities for Persons With Mobility Disabilities","year":2011,"lang":"en","type":"article","venue":"Adapted Physical Activity Quarterly","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":75,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"","keywords":"Recreation; Physical fitness; Universal design; Psychology; Gerontology; Transport engineering; Computer science; Physical therapy; Medicine; Engineering; World Wide Web; Biology; Ecology","score_opus":0.04992800269456612,"score_gpt":0.29401197897941683,"score_spread":0.2440839762848507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1534967619","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98962444,0.000012565392,0.0016892849,0.00011354766,0.00006658982,0.000662182,0.0004956182,0.000087148524,0.0072486205],"genre_scores_gemma":[0.9986888,0.0000011694196,0.0005251679,0.0000043625223,0.00011374661,0.000075104654,0.000017963423,0.000010876583,0.0005627688],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983325,0.00019492237,0.00019751395,0.00054630206,0.00037812308,0.00035061338],"domain_scores_gemma":[0.9983359,0.0007716971,0.00016154759,0.00031886017,0.00024247146,0.00016953584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035906662,0.00021611514,0.00043100407,0.000048022735,0.00043032863,0.00005048846,0.0002885414,0.00010243534,0.00015976661],"category_scores_gemma":[0.00007629148,0.00017879078,0.00014560107,0.00025021326,0.0020657307,0.0015835641,0.000016599062,0.0001625259,8.829817e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0039117374,0.006335218,0.64392847,0.0007261123,0.00024674638,0.0000017852202,0.25454277,0.0000030016436,0.0008449297,0.03639883,0.00006339181,0.05299703],"study_design_scores_gemma":[0.0009590134,0.0010726439,0.91453123,0.00005027214,0.00011761953,1.9251425e-7,0.056112505,0.00031808208,0.0016592003,0.024460666,0.00029834034,0.00042024459],"about_ca_topic_score_codex":0.012604684,"about_ca_topic_score_gemma":0.0060166675,"teacher_disagreement_score":0.2706028,"about_ca_system_score_codex":0.00007889351,"about_ca_system_score_gemma":0.00026813618,"threshold_uncertainty_score":0.99397045},"labels":[],"label_agreement":null},{"id":"W1535714110","doi":"","title":"Impact of Bicycle Boxes on Safety of Cyclists:A Case Study in Montreal","year":2013,"lang":"en","type":"article","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Intersection (aeronautics); Multinomial logistic regression; Transport engineering; Poison control; Regression analysis; Statistics; Computer science; Engineering; Mathematics; Medicine","score_opus":0.014864763843753905,"score_gpt":0.2959349879367705,"score_spread":0.2810702240930166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1535714110","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9936887,0.00013084555,0.000559326,0.00028103442,0.00004387467,0.001704773,0.00005926003,0.00011858303,0.0034136234],"genre_scores_gemma":[0.9986835,0.000029344528,0.00075157126,0.000049406586,0.000051848285,0.00017663933,0.0000058630785,0.000023338647,0.00022846898],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99747866,0.0003169983,0.00079219736,0.0003762274,0.00045831,0.00057762966],"domain_scores_gemma":[0.9983856,0.00022173312,0.00033377262,0.0006439085,0.00016186383,0.0002531236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010391899,0.00024712988,0.0005337506,0.00041102248,0.0001903575,0.00005558368,0.00046719823,0.00021157484,0.0002790292],"category_scores_gemma":[0.00019119665,0.00021603784,0.00026151395,0.0008462498,0.00027107977,0.0004884377,0.000057971403,0.00029501697,0.000006438435],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013555046,0.0016703879,0.98081464,0.00001437303,0.0000407036,0.00018516862,0.00518407,0.00033188038,0.0005350553,0.00030475363,0.00014414173,0.010639304],"study_design_scores_gemma":[0.000673317,0.00035489065,0.99266595,0.00003196302,0.00002176122,0.000006833767,0.0038504303,0.00078879687,0.0003282924,0.001069687,0.000010132032,0.0001979511],"about_ca_topic_score_codex":0.8949946,"about_ca_topic_score_gemma":0.60665315,"teacher_disagreement_score":0.28834146,"about_ca_system_score_codex":0.0004619678,"about_ca_system_score_gemma":0.0003110323,"threshold_uncertainty_score":0.88097674},"labels":[],"label_agreement":null},{"id":"W1536918255","doi":"10.18061/dsq.v28i2.94","title":"Spaced Out in the City: The Wrinkled World of Transit for Those with Limited Mobility","year":2008,"lang":"en","type":"article","venue":"Disability Studies Quarterly","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Transit (satellite); Argument (complex analysis); Subject (documents); Mode (computer interface); Experiential learning; Sociology; Public relations; Computer science; Transport engineering; Political science; Engineering; Public transport; Human–computer interaction; World Wide Web; Medicine; Pedagogy","score_opus":0.10506577947557842,"score_gpt":0.35914865789810085,"score_spread":0.2540828784225224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1536918255","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9825314,0.0002756694,0.000099634446,0.013180778,0.00017685205,0.0019722478,0.000039773946,0.000048608017,0.0016749984],"genre_scores_gemma":[0.99909383,0.000032404754,0.00009056417,0.00017086198,0.00010936796,0.000295539,0.000005880193,0.0000079952115,0.00019358081],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976611,0.00046414853,0.0005094817,0.0004444835,0.000505374,0.00041539015],"domain_scores_gemma":[0.99737704,0.0014929107,0.00013738258,0.0007154811,0.00022711337,0.000050076043],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0024643922,0.00020211416,0.00047051345,0.000028695104,0.000781865,0.00002962136,0.0006737409,0.00006194408,0.00002731793],"category_scores_gemma":[0.00021478868,0.00010453174,0.00022442182,0.0005182097,0.0039176396,0.00023607616,0.0000104069095,0.00020936345,0.0000012494573],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029886703,0.00061888766,0.7213197,0.000053694992,0.00006678043,0.0000012855592,0.27540857,0.0000017918845,0.00000562711,0.00022159341,0.00014022696,0.0018629784],"study_design_scores_gemma":[0.00076923624,0.0002901912,0.8276134,0.00002375545,0.00006456252,1.4194876e-7,0.16627766,0.000006437055,0.000020363943,0.002488968,0.0022892,0.00015607885],"about_ca_topic_score_codex":0.0025652777,"about_ca_topic_score_gemma":0.35243323,"teacher_disagreement_score":0.34986797,"about_ca_system_score_codex":0.00011494974,"about_ca_system_score_gemma":0.00009929437,"threshold_uncertainty_score":0.9987931},"labels":[],"label_agreement":null},{"id":"W1537429304","doi":"10.17226/14128","title":"Understanding How to Motivate Communities to Support and Ride Public Transportation","year":2008,"lang":"en","type":"book","venue":"Transportation Research Board eBooks","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Public transport; Transport engineering; Business; Environmental planning; Engineering; Geography","score_opus":0.3185357943139381,"score_gpt":0.3829894666510996,"score_spread":0.06445367233716154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1537429304","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31315786,0.0001296902,0.005165429,0.010316418,0.00054818176,0.006776747,0.0019097868,0.00079552416,0.66120034],"genre_scores_gemma":[0.69015753,0.0001530651,0.0002976109,0.00029518543,0.00022240379,0.00018707626,0.0008312219,0.00008919509,0.30776674],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.9942018,0.00040884747,0.0007355923,0.0007889102,0.0025707975,0.0012940863],"domain_scores_gemma":[0.996767,0.00050177355,0.0001806902,0.00057292817,0.00077919214,0.0011984458],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.002113134,0.0004946845,0.00069847656,0.0012022665,0.0022125826,0.00052329246,0.00085490965,0.00057665625,0.00032650933],"category_scores_gemma":[0.00005369173,0.00054955384,0.00022338888,0.00043080267,0.0014050895,0.00053348026,0.000011955981,0.0012995055,0.000048793798],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008728946,0.00021795894,0.11291136,0.0012359428,0.00046139694,0.00051075313,0.44165167,0.00003178343,0.00019007202,0.32219085,0.11292227,0.0068030353],"study_design_scores_gemma":[0.0009899555,0.0005914615,0.09954769,0.0004952207,0.00011435903,3.017851e-7,0.027137352,0.000002718103,0.00011291554,0.013976748,0.85572916,0.0013021065],"about_ca_topic_score_codex":0.008806533,"about_ca_topic_score_gemma":0.36676103,"teacher_disagreement_score":0.7428069,"about_ca_system_score_codex":0.0009425417,"about_ca_system_score_gemma":0.0021081888,"threshold_uncertainty_score":0.9996956},"labels":[],"label_agreement":null},{"id":"W1537494671","doi":"","title":"People Who Commute to Work in Puerto Rico: Demographic Characteristics of the Event","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Carpool; Residence; Population; Work (physics); Quarter (Canadian coin); Geography; Taxis; Welfare; Socioeconomics; Business; Demographic economics; Economic growth; Demography; Political science; Transport engineering; Engineering; Sociology; Economics","score_opus":0.006757658386545342,"score_gpt":0.24877449464601104,"score_spread":0.24201683625946568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1537494671","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99439275,0.00036530595,0.0003338375,0.004022235,0.0001939142,0.000291768,0.0000014107172,0.000009124727,0.00038963612],"genre_scores_gemma":[0.99857974,0.00046048526,0.000018428414,0.0001243825,0.00012355609,0.000010497141,6.5664835e-7,0.000007925904,0.00067434],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977054,0.00020320289,0.00036270652,0.00012138109,0.0003485863,0.0012587414],"domain_scores_gemma":[0.9993644,0.000067565576,0.00017374406,0.00019241308,0.000102848455,0.00009907304],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017920784,0.000093588096,0.00021094916,0.00008460773,0.00032185583,0.00006016902,0.0006499835,0.000067834684,0.00011239944],"category_scores_gemma":[0.000102129445,0.00006680612,0.00013556112,0.00096809043,0.00009877344,0.00019162672,0.0000336334,0.0009960177,0.000012218411],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016872407,0.000073627874,0.985905,0.0000032630535,0.000017365024,2.910198e-7,0.0028966696,0.0000025515506,0.000028541588,0.0042260825,0.00009200243,0.006737763],"study_design_scores_gemma":[0.00015133938,0.000035673904,0.96363777,0.00004248415,0.000011899933,8.897275e-7,0.0025398156,0.00000325112,0.000009248411,0.03288072,0.0006022702,0.00008461847],"about_ca_topic_score_codex":0.0044215275,"about_ca_topic_score_gemma":0.07347459,"teacher_disagreement_score":0.06905307,"about_ca_system_score_codex":0.00033317952,"about_ca_system_score_gemma":0.0009637881,"threshold_uncertainty_score":0.9434321},"labels":[],"label_agreement":null},{"id":"W1537873983","doi":"10.1007/s10110-004-0200-8","title":"Development similarity based on proximity: A case study of urban clusters in Canada","year":2004,"lang":"en","type":"article","venue":"Papers of the Regional Science Association","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Similarity (geometry); Regional science; Geography; Economic geography; Computer science; Artificial intelligence","score_opus":0.02331221110790765,"score_gpt":0.26932942632342755,"score_spread":0.2460172152155199,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1537873983","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958095,0.0000030690271,0.000001455637,0.002396714,0.00009606799,0.0003792121,0.00000209441,0.000004459664,0.00130741],"genre_scores_gemma":[0.9996687,4.857027e-7,0.00010118293,0.00018004961,0.000010631601,0.000007346982,5.135915e-7,0.000001805131,0.00002926093],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99793094,0.000098617355,0.00025308566,0.00019429668,0.0013035601,0.00021948297],"domain_scores_gemma":[0.9992718,0.00010511639,0.00030283476,0.0001364789,0.00012848536,0.000055300334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018295061,0.00006311175,0.00012130649,0.000060434362,0.00046325778,0.0000129297305,0.00037574235,0.00003259763,0.0000046848354],"category_scores_gemma":[0.00030923288,0.000048356535,0.000034017696,0.00093600305,0.00018110074,0.00017200515,0.00002182304,0.000095170944,1.17466584e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.000011708925,0.00027908024,0.9865826,0.000004539284,0.00000425821,0.000005404206,0.010849877,0.0018290947,0.000062061714,0.00010322929,0.0000130987155,0.0002550429],"study_design_scores_gemma":[0.0005651878,0.000024946814,0.9793409,0.00003468739,0.000007810993,1.8191473e-7,0.019397413,0.000097607306,0.00020418143,0.00009761271,0.00014943033,0.00008004518],"about_ca_topic_score_codex":0.8643299,"about_ca_topic_score_gemma":0.9920466,"teacher_disagreement_score":0.12771675,"about_ca_system_score_codex":0.004051198,"about_ca_system_score_gemma":0.00669868,"threshold_uncertainty_score":0.9997721},"labels":[],"label_agreement":null},{"id":"W1541134485","doi":"","title":"ALL IN THE MIND","year":2003,"lang":"en","type":"article","venue":"Surveyor magazine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Admiration; Sympathy; Public transport; Quarter (Canadian coin); Traffic congestion; Transport engineering; Advertising; Psychology; Socioeconomics; Sociology; Engineering; Business; Social psychology; Geography","score_opus":0.0700400479325442,"score_gpt":0.3405614253216971,"score_spread":0.2705213773891529,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1541134485","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80182904,0.00013531906,0.000012118574,0.0011441342,0.00014467088,0.00013507782,0.000004437549,0.000011045416,0.19658418],"genre_scores_gemma":[0.9971537,0.000012211421,0.00006173578,0.000343961,0.000053120228,0.0000057533475,0.0000069848265,0.0000036085564,0.0023589192],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986353,0.0006009135,0.00014026808,0.00014780661,0.00023268172,0.00024305691],"domain_scores_gemma":[0.99956363,0.00016804753,0.00002775712,0.0001705676,0.000028963857,0.00004104409],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0036639874,0.000059745293,0.00008367977,0.00002699075,0.000100884776,0.000043380212,0.00024018354,0.000046236644,0.0010845516],"category_scores_gemma":[0.00026128095,0.000041341566,0.000037148995,0.00035826603,0.00014137334,0.00011890908,0.0000035671292,0.00010626932,0.00018616563],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000046329974,0.0000935418,0.98723656,0.0000028785555,0.000002892703,0.000011594676,0.0064555695,3.8689288e-7,0.000039769257,0.0025348158,0.002097594,0.0015197567],"study_design_scores_gemma":[0.00011381028,0.000004816684,0.68838984,0.0000015819932,0.00000250477,8.642002e-8,0.00031284778,5.3979477e-7,0.000020974283,0.0015283986,0.3095741,0.000050482915],"about_ca_topic_score_codex":0.001248424,"about_ca_topic_score_gemma":0.064254984,"teacher_disagreement_score":0.30747652,"about_ca_system_score_codex":0.000021565253,"about_ca_system_score_gemma":0.00007409785,"threshold_uncertainty_score":0.9998286},"labels":[],"label_agreement":null},{"id":"W1541897644","doi":"","title":"The relationship between new transportation infrastructure and psychosocial well-being: A case study of the Red Hill Valley Parkway in Hamilton, Ontario","year":2010,"lang":"en","type":"dissertation","venue":"MacSphere (McMaster University)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Psychosocial; Geography; Environmental planning; Engineering; Transport engineering; Psychology; Psychotherapist","score_opus":0.0178543936016535,"score_gpt":0.25337747630710244,"score_spread":0.23552308270544894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1541897644","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9304265,0.00002094052,0.000004802576,0.00013160755,0.00041940814,0.00087384175,0.0000087784365,0.000020110927,0.06809401],"genre_scores_gemma":[0.84363204,0.000006469999,0.000019936691,0.0000060899556,0.00009075942,0.0000013658996,0.000045581535,0.00001390724,0.15618382],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99818796,0.00035308386,0.0004070599,0.00040406027,0.00039564073,0.00025220154],"domain_scores_gemma":[0.9987965,0.000292809,0.00042352246,0.00027627364,0.00009605808,0.0001148421],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003680901,0.00023265286,0.00029945662,0.00009340755,0.0010134602,0.00007804949,0.00052126154,0.0005174274,0.0020216391],"category_scores_gemma":[0.000037065765,0.00018601051,0.00012427628,0.0006874989,0.00018435047,0.00027590455,0.000010797519,0.0010427121,7.0227463e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000108922046,0.000042489766,0.81904274,0.000021539854,0.000035901674,0.00004377554,0.17224775,0.0000030149197,0.0000017247593,0.00035467726,0.000074520554,0.008022917],"study_design_scores_gemma":[0.0008815774,0.000033913253,0.87297684,0.000051010447,0.00020521545,3.4688873e-7,0.092197955,4.5190492e-7,0.0000025193494,0.0018406898,0.031638727,0.000170729],"about_ca_topic_score_codex":0.20367506,"about_ca_topic_score_gemma":0.99099433,"teacher_disagreement_score":0.78731924,"about_ca_system_score_codex":0.0001933219,"about_ca_system_score_gemma":0.0005924838,"threshold_uncertainty_score":0.99889064},"labels":[],"label_agreement":null},{"id":"W1545078807","doi":"10.7202/019875ar","title":"Gentrification, nouvel urbanisme et évolution de la mobilité quotidienne : vers un développement plus durable ? Le cas du Plateau Mont-Royal (1998-2003)","year":2009,"lang":"fr","type":"article","venue":"Recherches sociographiques","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Humanities; Gentrification; Political science; Sociology; Art; Economics","score_opus":0.04870010729467278,"score_gpt":0.32650592146580515,"score_spread":0.27780581417113237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1545078807","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94839644,0.013132385,0.0028604271,0.025031116,0.00059617584,0.0009063736,0.000059799735,0.0004141802,0.008603085],"genre_scores_gemma":[0.9704967,0.016738268,0.008030658,0.00059056684,0.00042129072,0.0000832333,0.00010108111,0.00004406143,0.0034941528],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99396473,0.0026655688,0.0008141343,0.000878382,0.0005391992,0.0011379605],"domain_scores_gemma":[0.99776113,0.00051816844,0.00038157045,0.00047790806,0.0004263498,0.0004348573],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0066935355,0.0005105086,0.000559128,0.00021749713,0.0009803531,0.00021957875,0.000621279,0.0012383495,0.000106591186],"category_scores_gemma":[0.0004465845,0.00056556304,0.00047453036,0.0019075772,0.001608943,0.0006969049,0.00003143654,0.0010218212,0.000034256027],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020557073,0.002832016,0.65325916,0.00021302461,0.0004632351,0.00005541894,0.25051364,0.00028324113,0.0013643547,0.06391505,0.010948513,0.01594678],"study_design_scores_gemma":[0.0010428925,0.00020527774,0.91707015,0.00012417001,0.00022245184,0.0000030327174,0.0064792335,0.0005637811,0.0017331934,0.05789311,0.01395498,0.00070775585],"about_ca_topic_score_codex":0.18036893,"about_ca_topic_score_gemma":0.028151287,"teacher_disagreement_score":0.26381096,"about_ca_system_score_codex":0.007313257,"about_ca_system_score_gemma":0.0021026132,"threshold_uncertainty_score":0.99967957},"labels":[],"label_agreement":null},{"id":"W1547690338","doi":"10.1007/bf03403829","title":"Physical Activity Patterns of Children in Toronto: The Relative Role of Neighbourhood Type and Socio-economic Status","year":2012,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University; University of Toronto; Dalhousie University","funders":"Canadian Institutes of Health Research; Heart and Stroke Foundation of Canada","keywords":"Neighbourhood (mathematics); Socioeconomic status; Physical activity; Geography; Demography; Inner city; Psychology; Sociology; Medicine; Population; Economic geography; Mathematics","score_opus":0.028421483549745854,"score_gpt":0.32021079881499376,"score_spread":0.29178931526524793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1547690338","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946161,0.0012542076,0.00001224686,0.0025738035,0.000115500734,0.00010034568,0.00005340309,0.000001026627,0.0012733608],"genre_scores_gemma":[0.9996258,0.000099271034,0.000011549357,0.000050868617,0.00019245163,3.752101e-7,0.0000013007152,0.0000038757053,0.000014532103],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989109,0.0002785103,0.00022265481,0.000059730737,0.00011061439,0.00041760958],"domain_scores_gemma":[0.99866945,0.00009185846,0.000336511,0.00007652928,0.0000752336,0.00075039745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015868352,0.000053737826,0.00021566321,0.0000457383,0.0001252226,0.000017701437,0.0001486318,0.00004366826,0.00018454778],"category_scores_gemma":[0.00011606302,0.000041214626,0.000043843513,0.00008673277,0.00018565521,0.0007769694,0.000005064708,0.00017993842,3.7161118e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000028368095,0.000036981546,0.94772136,0.000004692171,0.000016368758,1.2519183e-7,0.030907834,2.553929e-7,0.000001991748,0.004818467,0.000025347,0.016463729],"study_design_scores_gemma":[0.00014098868,0.00005519692,0.9913396,0.000010442691,0.0000045050883,3.7642073e-7,0.0075365873,0.0000027643378,0.0000053973185,0.00042170793,0.00044752227,0.00003490692],"about_ca_topic_score_codex":0.69165975,"about_ca_topic_score_gemma":0.8160184,"teacher_disagreement_score":0.12435867,"about_ca_system_score_codex":0.00088392984,"about_ca_system_score_gemma":0.0056456793,"threshold_uncertainty_score":0.9999914},"labels":[],"label_agreement":null},{"id":"W1548944133","doi":"","title":"The Impacts of Urban Growth Policies on Transportation System Usage and Performance: A Simulation Approach","year":2009,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"","keywords":"Externality; Transport engineering; Work (physics); Transportation planning; Land use; Transport system; Environmental economics; Computer science; Business; Environmental planning; Environmental science; Economics; Engineering; Civil engineering","score_opus":0.018096555428193332,"score_gpt":0.2814580564192265,"score_spread":0.26336150099103317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1548944133","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97326475,0.000055421002,0.00021420057,0.00014537925,0.000025681928,0.0002065948,0.0000032041146,0.00004503164,0.026039721],"genre_scores_gemma":[0.9996846,0.000026099686,0.000036696387,0.000032139407,0.00005439458,0.000001966727,0.0000052239297,0.0000022921026,0.00015661908],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99928796,0.000038253787,0.00018070643,0.000104593804,0.00024112315,0.00014735376],"domain_scores_gemma":[0.9996665,0.00007046988,0.00007428318,0.00008147036,0.00005791169,0.000049361006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043405735,0.000062621446,0.000091768525,0.0000303574,0.00040002106,0.00004154446,0.00009085209,0.00004778523,0.000003511768],"category_scores_gemma":[0.000013994066,0.000038856153,0.000031338615,0.00018349927,0.00012481459,0.00024559023,5.3411105e-7,0.00004804103,5.2131287e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009726648,0.000069552625,0.92367566,0.00008431947,0.000007583605,1.892904e-7,0.021250257,0.00021771294,0.00008432391,0.051331285,0.000035410587,0.0031464435],"study_design_scores_gemma":[0.00013170471,0.00008368682,0.99482495,0.000017929397,0.0000115047305,1.9506226e-8,0.0028510904,0.0015399976,0.00026139754,0.00015597837,0.00006683789,0.000054881795],"about_ca_topic_score_codex":0.0010778571,"about_ca_topic_score_gemma":0.0004283836,"teacher_disagreement_score":0.07114932,"about_ca_system_score_codex":0.00002863334,"about_ca_system_score_gemma":0.000032850083,"threshold_uncertainty_score":0.3076679},"labels":[],"label_agreement":null},{"id":"W1549039254","doi":"10.1111/josh.12283","title":"Adoption of Safe Routes to School in Canadian and the United States Contexts: Best Practices and Recommendations","year":2015,"lang":"en","type":"review","venue":"Journal of School Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University; University of Alberta","funders":"","keywords":"Best practice; Environmental health; Psychology; Medical education; Medicine; Public relations; Political science; Law","score_opus":0.15314400688894164,"score_gpt":0.46659675573339243,"score_spread":0.3134527488444508,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1549039254","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0039166445,0.96678764,0.000004858134,0.02793749,0.00017891428,0.0007880297,0.00009306629,0.0000025875893,0.0002907446],"genre_scores_gemma":[0.0029097067,0.9959352,0.00032198394,0.00047632324,0.00018883248,0.0000072253074,0.000035075256,0.0000081921135,0.00011748732],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9971667,0.0010469931,0.0010864495,0.00013710461,0.00029009557,0.00027264043],"domain_scores_gemma":[0.9956744,0.0005053713,0.0022106394,0.000112816895,0.00042172038,0.0010750615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008149634,0.00013504471,0.00090877846,0.0005308675,0.0002713658,0.00012825153,0.00024305786,0.00012126955,0.000056065583],"category_scores_gemma":[0.0018813285,0.000087157256,0.00007062202,0.0006772802,0.00017474755,0.0005484167,0.000014805049,0.0006712579,0.0000038534267],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015778965,0.00011411231,0.0709188,0.0041834377,0.00013730295,0.000009269127,0.009320054,0.000004025534,1.6306046e-8,0.00092256424,0.012067641,0.902165],"study_design_scores_gemma":[0.00039875516,0.000103826766,0.004336321,0.0046264627,0.00010383918,0.000003952632,0.0052578347,0.0000013805416,4.4814703e-9,0.00028147435,0.98480487,0.000081289225],"about_ca_topic_score_codex":0.69288003,"about_ca_topic_score_gemma":0.81198674,"teacher_disagreement_score":0.9727372,"about_ca_system_score_codex":0.00071276235,"about_ca_system_score_gemma":0.009628793,"threshold_uncertainty_score":0.9959857},"labels":[],"label_agreement":null},{"id":"W1549754031","doi":"","title":"Who cycles more? Determining cycling frequency through a segmentation approach in Montreal, Canada","year":2015,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Cycling; Logistic regression; Ordered logit; Work (physics); Population; TRIPS architecture; Logit; Variable (mathematics); Geography; Transport engineering; Engineering; Econometrics; Environmental health; Statistics; Mathematics; Medicine","score_opus":0.04294913375225839,"score_gpt":0.2877342156748202,"score_spread":0.24478508192256182,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1549754031","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89794695,0.00015880939,0.0000038967846,0.0000676355,0.0003341395,0.0004467275,0.00013806114,0.000114042305,0.10078972],"genre_scores_gemma":[0.9963728,0.000039188602,0.0027120127,0.00034285145,0.00006608879,0.00006750951,0.000051747582,0.000038972517,0.0003088014],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9963609,0.00041949743,0.00069764955,0.00073840754,0.0009986379,0.0007849269],"domain_scores_gemma":[0.99861807,0.0001541193,0.00026316923,0.00037650607,0.00019931121,0.00038885092],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0014327792,0.00032284088,0.00042678745,0.00010880194,0.0010221739,0.000109704975,0.00059184886,0.00023362006,0.000049015795],"category_scores_gemma":[0.00045224655,0.00033934636,0.000101782614,0.00072781474,0.0001876154,0.0020545917,0.00006488611,0.0005444929,0.000011310406],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013931221,0.00067511556,0.8441572,0.00017827132,0.00012313164,0.00037114977,0.0034009377,0.00094893633,0.003495895,0.023293016,0.00003906981,0.12317797],"study_design_scores_gemma":[0.006859017,0.00020606554,0.732024,0.00059690705,0.00027878117,0.000014077277,0.054814152,0.0008202821,0.015530611,0.1733386,0.01155,0.0039674765],"about_ca_topic_score_codex":0.8832574,"about_ca_topic_score_gemma":0.9593818,"teacher_disagreement_score":0.15004559,"about_ca_system_score_codex":0.001625309,"about_ca_system_score_gemma":0.00037987847,"threshold_uncertainty_score":0.9999059},"labels":[],"label_agreement":null},{"id":"W1550756279","doi":"","title":"Access to Primary Health Care: Does Neighbourhood of Residence Matter?","year":2009,"lang":"en","type":"dissertation","venue":"TSpace","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Neighbourhood (mathematics); Residence; Primary care; Geography; Medicine; Sociology; Demography; Mathematics; Family medicine","score_opus":0.019783877910883853,"score_gpt":0.3942878301851255,"score_spread":0.3745039522742416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1550756279","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79220134,0.002091912,0.000026167221,0.00962234,0.0008578726,0.0009586278,0.000030441155,0.00009550342,0.1941158],"genre_scores_gemma":[0.9744313,0.00019202987,0.00033543393,0.001746561,0.00030326977,0.000021450436,0.0002783673,0.000024452402,0.022667179],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9980221,0.00011740814,0.00038895235,0.00044959027,0.00062780257,0.00039417477],"domain_scores_gemma":[0.99876803,0.00005051873,0.00038844545,0.00037440332,0.00020572118,0.00021289555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034537853,0.0002038179,0.00047065326,0.00012762783,0.0002896608,0.00012542726,0.0008514062,0.0002111565,0.0007530347],"category_scores_gemma":[0.000042914253,0.00017439843,0.00011787537,0.00044393868,0.00006369883,0.00029167553,0.00001904411,0.00022732066,0.000031882224],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00054113445,0.00028894763,0.32691976,0.0032046759,0.00005499647,0.000015932235,0.53363585,0.000006550747,0.00035903673,0.00084665976,0.061164282,0.07296216],"study_design_scores_gemma":[0.00009375821,0.00004905149,0.97798634,0.00031147458,0.00002391987,2.548833e-8,0.015323153,2.7608767e-8,0.000730232,0.00052863325,0.004715537,0.00023787761],"about_ca_topic_score_codex":0.043089792,"about_ca_topic_score_gemma":0.16297211,"teacher_disagreement_score":0.65106654,"about_ca_system_score_codex":0.00025810295,"about_ca_system_score_gemma":0.0012635164,"threshold_uncertainty_score":0.96328235},"labels":[],"label_agreement":null},{"id":"W1552123231","doi":"","title":"Improving Accessibility for Passengers with Special Needs: The VIA Rail Canada Experience","year":2007,"lang":"en","type":"article","venue":"11th International Conference on Mobility and Transport for Elderly and Disabled Persons (TRANSED)Transport CanadaTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Population; Element (criminal law); Public relations; Psychology; Advertising; Marketing; Business; Engineering; Sociology; Political science","score_opus":0.05777677052949956,"score_gpt":0.3551630310561232,"score_spread":0.29738626052662365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1552123231","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9582328,0.000075323595,0.02625969,0.0063108657,0.0005803259,0.0033522819,0.0016870687,0.00007592478,0.0034257183],"genre_scores_gemma":[0.99679875,0.00010731633,0.00053183315,0.0002895513,0.00050910725,0.0005482338,0.0005818378,0.000041851083,0.0005915148],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99439275,0.00012448612,0.0009816145,0.0012311927,0.0019091243,0.0013608485],"domain_scores_gemma":[0.9964971,0.0009170583,0.00021222526,0.00046998955,0.001134522,0.0007691226],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0035466591,0.000506109,0.00055523246,0.00025735892,0.0025009287,0.00018109095,0.00083707453,0.00029129794,0.00047754598],"category_scores_gemma":[0.000064349915,0.00041203471,0.00021973327,0.000653931,0.0021656903,0.0008868368,0.000004769547,0.00074223947,3.1896326e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.009317231,0.00058442395,0.8888319,0.0008160618,0.00031656606,0.00007884126,0.030514287,0.000073496165,0.0006185357,0.048454892,0.00027092517,0.020122802],"study_design_scores_gemma":[0.0047071776,0.00078803016,0.88099575,0.00021207366,0.00028994674,0.0000018710708,0.05831004,0.00046331016,0.0006487278,0.004144203,0.048212536,0.0012263266],"about_ca_topic_score_codex":0.67466974,"about_ca_topic_score_gemma":0.9901123,"teacher_disagreement_score":0.31544253,"about_ca_system_score_codex":0.0003529135,"about_ca_system_score_gemma":0.0030699433,"threshold_uncertainty_score":0.99983317},"labels":[],"label_agreement":null},{"id":"W1552992758","doi":"10.25336/p6bc8x","title":"Evolution of Daily Activity Patterns from 1971 to 1981: A Study of the Halifax Activity Panel Survey","year":2001,"lang":"en","type":"article","venue":"Canadian Studies in Population","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Canada Mortgage and Housing Corporation; Saint Mary's University","funders":"","keywords":"Similarity (geometry); Matching (statistics); Sample (material); Activities of daily living; Similarity measure; Measure (data warehouse); Computer science; Psychology; Statistics; Mathematics; Data mining; Artificial intelligence","score_opus":0.14996601755312008,"score_gpt":0.3644449171506525,"score_spread":0.21447889959753244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1552992758","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99842995,0.000050276758,0.000021396494,0.00014465368,0.00040036312,0.00055933447,0.00020975136,0.000007681346,0.00017659816],"genre_scores_gemma":[0.999839,0.0000067937895,0.000003625403,0.00001295618,0.00005646788,0.000014954788,0.000008993347,0.0000049506993,0.000052250027],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985246,0.00048946915,0.00024215312,0.00023027418,0.00029296833,0.00022051229],"domain_scores_gemma":[0.9992223,0.00013862985,0.00015317631,0.00026544448,0.00012891133,0.00009156737],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076786435,0.00009172872,0.00024993025,0.00010991062,0.00027067683,0.000008698015,0.00021079087,0.00006323187,0.000017348366],"category_scores_gemma":[0.00039071738,0.000079744736,0.000040482184,0.00061917974,0.00010557285,0.00019029622,0.000029069035,0.00009434548,6.670044e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032408356,0.00010891809,0.98401046,0.0000064566334,0.000022657223,0.0000011411856,0.013899692,0.000059464473,0.00002345079,0.00001753785,0.000036146183,0.001781698],"study_design_scores_gemma":[0.0001915066,0.000025434183,0.99242836,0.00002928637,0.000017095555,1.3347267e-8,0.006935837,0.000017410715,0.000012302912,0.00023985037,0.000024970821,0.00007795615],"about_ca_topic_score_codex":0.99268067,"about_ca_topic_score_gemma":0.9995011,"teacher_disagreement_score":0.008417906,"about_ca_system_score_codex":0.00082789134,"about_ca_system_score_gemma":0.00018148177,"threshold_uncertainty_score":0.3251896},"labels":[],"label_agreement":null},{"id":"W1557838689","doi":"","title":"An Exploration of Shoppers Travel Mode Choice in Visiting Convenience Stores in the United Kingdom","year":2011,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Multinomial logistic regression; TRIPS architecture; Advertising; Metropolitan area; Business; Quarter (Canadian coin); Demographics; Marketing; Chaining; Mode choice; Mode (computer interface); Geography; Public transport; Psychology; Transport engineering; Computer science; Engineering; Demography","score_opus":0.175287268605556,"score_gpt":0.4002866945120592,"score_spread":0.22499942590650324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1557838689","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98450434,0.0000067049914,0.00001198897,0.00012321232,0.000035613226,0.00030337233,0.0000044076423,0.0000075198186,0.015002853],"genre_scores_gemma":[0.99963605,0.00010511244,0.00011289515,0.00003665343,0.000040678282,0.00003502432,0.00000821756,0.000007303409,0.000018037501],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981682,0.00054811046,0.0003721198,0.00029012345,0.00022420312,0.00039726778],"domain_scores_gemma":[0.9991311,0.0003974196,0.00008110675,0.00027038698,0.00005670496,0.00006330762],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003519308,0.00007729649,0.00015839143,0.00034017197,0.00014838154,0.000036230336,0.00056543114,0.00009438465,0.00004200767],"category_scores_gemma":[0.00031488336,0.00007007956,0.000032947864,0.0005380366,0.00052202534,0.0009539583,0.000019589763,0.00035496635,6.2948556e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005958907,0.00018610475,0.9265912,0.000013129435,0.0000025685201,0.0000058079427,0.05940639,0.00062762393,0.00033782976,0.004812865,4.6701953e-7,0.00795641],"study_design_scores_gemma":[0.00048310112,0.00007601814,0.91499466,0.00005746975,0.0000017910605,9.549829e-8,0.0758285,0.006263979,0.0003076693,0.001551342,0.00028440854,0.00015094929],"about_ca_topic_score_codex":0.03183868,"about_ca_topic_score_gemma":0.12611951,"teacher_disagreement_score":0.09428083,"about_ca_system_score_codex":0.00022547875,"about_ca_system_score_gemma":0.00022963915,"threshold_uncertainty_score":0.97460836},"labels":[],"label_agreement":null},{"id":"W1559820566","doi":"","title":"Work and Commuting in Census Metropolitan Areas, 1996 to 2001","year":2005,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Metropolitan area; Downtown; Public transport; Census; City centre; Geography; Decentralization; Journey to work; Suburbanization; Work (physics); Business; Economic growth; Economic geography; Regional science; Transport engineering; Population; Political science; Engineering; Demography; Sociology; Economics","score_opus":0.061130576680513304,"score_gpt":0.3756417120233639,"score_spread":0.3145111353428506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1559820566","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85784125,0.00032088283,5.0444504e-7,0.0020090204,0.00018946051,0.0006878692,0.000046342957,0.000032482574,0.13887216],"genre_scores_gemma":[0.9948884,0.0024955266,0.000737512,0.000098848766,0.0003779767,0.00007720477,0.000031964402,0.000029537594,0.0012629905],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99642485,0.0005168343,0.0006348541,0.00086467277,0.00032296087,0.0012358127],"domain_scores_gemma":[0.9981081,0.00059921056,0.000113449925,0.0006652369,0.000077245204,0.00043677044],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.005186771,0.00023436817,0.0005222387,0.0005172271,0.00034222734,0.00022678837,0.00086959347,0.0004294577,0.00013038739],"category_scores_gemma":[0.0007592889,0.00026753996,0.00009722863,0.00041172653,0.000627599,0.00012638012,0.00064150203,0.0017052504,0.000004823613],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006027126,0.00010384725,0.90257686,0.00004080909,0.000015571975,0.000018109742,0.0022555122,0.00025442123,0.0000015335703,0.0005196456,0.00008271993,0.094070695],"study_design_scores_gemma":[0.00046859562,0.00003039235,0.931929,0.0003492498,0.000007149914,2.7872633e-7,0.010149971,0.00017203466,0.0000107943915,0.0032200015,0.05308414,0.00057841284],"about_ca_topic_score_codex":0.016380858,"about_ca_topic_score_gemma":0.17209679,"teacher_disagreement_score":0.15571593,"about_ca_system_score_codex":0.0033850076,"about_ca_system_score_gemma":0.00058350613,"threshold_uncertainty_score":0.9999777},"labels":[],"label_agreement":null},{"id":"W1560107897","doi":"10.1108/ijssp-07-2013-0072","title":"Developing sustainable urban transportation","year":2014,"lang":"en","type":"article","venue":"International Journal of Sociology and Social Policy","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Framing (construction); Public transport; Politics; Public policy; Renting; Urban planning; Urban policy; Sociology; Creative city; Public administration; Public relations; Political science; Regional science; Engineering; Civil engineering; Law","score_opus":0.021329499834429593,"score_gpt":0.3561330695865926,"score_spread":0.33480356975216297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1560107897","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9578161,0.00007655453,0.0027175911,0.035555884,0.00034021412,0.000039522318,0.0000034417096,0.000012276925,0.0034384106],"genre_scores_gemma":[0.9945951,0.000054891963,0.00022359834,0.0012043143,0.0034199923,9.551176e-7,0.0000056689787,0.0000039756724,0.0004914657],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99912244,0.00013864186,0.00027037825,0.000074369294,0.00021315139,0.00018099893],"domain_scores_gemma":[0.9991663,0.000082749604,0.0002255866,0.000019643443,0.00045860428,0.00004713575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082443247,0.00005854023,0.00014444544,0.000116613395,0.00038826722,0.000034021836,0.00022631552,0.00013909687,0.000031763095],"category_scores_gemma":[0.0001709756,0.000055646033,0.00008204562,0.000059304977,0.00056069327,0.00030060558,0.0000062172285,0.000159639,0.0000015050299],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035812245,0.000019283038,0.09533523,0.000006444477,0.000055448272,0.000008031781,0.053921934,0.0000010061152,0.000015741214,0.84683055,0.00038208588,0.0033884088],"study_design_scores_gemma":[0.0006052959,0.00003818307,0.5507382,0.000009830057,0.000021181115,0.0000012259911,0.013735243,0.0000019578358,0.000022659713,0.32989275,0.10481947,0.00011401929],"about_ca_topic_score_codex":0.0011124754,"about_ca_topic_score_gemma":0.00018496528,"teacher_disagreement_score":0.51693785,"about_ca_system_score_codex":0.00015339152,"about_ca_system_score_gemma":0.00043335988,"threshold_uncertainty_score":0.29862767},"labels":[],"label_agreement":null},{"id":"W1560140830","doi":"","title":"The role of planners in contention over transport policy: Contrasting behaviour and outcomes in Melbourne and Vancouver since 1970","year":2009,"lang":"en","type":"article","venue":"Minerva Access (University of Melbourne)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Public transport; Politics; Investment (military); Public investment; Public policy; Private transport; Journey to work; Environmental planning; Land use; Transportation planning; Public administration; Public economics; Transport engineering; Business; Regional science; Political science; Economic growth; Geography; Economics; Engineering; Public fund; Civil engineering","score_opus":0.013133777096865815,"score_gpt":0.2680049456370594,"score_spread":0.2548711685401936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1560140830","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967545,0.0003396525,0.000031955442,0.0009935101,0.000044980745,0.00020426705,0.000016141645,0.000011562998,0.0016034002],"genre_scores_gemma":[0.9991903,0.0001646873,0.00006690938,0.000028212104,0.00001748478,2.3801441e-7,0.000002434725,0.0000036751405,0.0005261033],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99891204,0.000082843326,0.00025292303,0.00021588765,0.00026464922,0.00027166962],"domain_scores_gemma":[0.9993809,0.00014359936,0.00021313541,0.00010561694,0.00007102624,0.00008571259],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000643074,0.00011401381,0.00032713436,0.00017492434,0.00025489103,0.0000276457,0.00034188724,0.00010572841,0.00001842895],"category_scores_gemma":[0.000056479537,0.000106398096,0.00006528278,0.00034096284,0.00043684474,0.00086452055,0.000026421198,0.00014838774,7.840688e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010975275,0.000104448474,0.9828193,0.000011626113,0.000011190356,0.000012567781,0.0066174557,0.0000055027485,0.00026348868,0.0009212246,0.000014777728,0.009108642],"study_design_scores_gemma":[0.0012060157,0.00002895509,0.9850403,0.00006605771,0.000028137656,1.9196277e-7,0.011348333,0.00008445098,0.000056044308,0.0018496794,0.00018040376,0.0001114345],"about_ca_topic_score_codex":0.06428756,"about_ca_topic_score_gemma":0.41868156,"teacher_disagreement_score":0.35439402,"about_ca_system_score_codex":0.000057318022,"about_ca_system_score_gemma":0.00010756724,"threshold_uncertainty_score":0.9419434},"labels":[],"label_agreement":null},{"id":"W1562239909","doi":"10.1007/bf03403832","title":"Walkable for Whom? Examining the Role of the Built Environment on the Neighbourhood-based Physical Activity of Children","year":2012,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Saskatchewan; Saskatchewan Health","funders":"Institute of Nutrition, Metabolism and Diabetes; Canadian Institutes of Health Research; Heart and Stroke Foundation of Canada","keywords":"Neighbourhood (mathematics); Built environment; Interdependence; Perception; Feeling; Destinations; Psychology; Qualitative research; Place attachment; Social psychology; Developmental psychology; Geography; Sociology; Engineering","score_opus":0.06520321012220438,"score_gpt":0.2962147800851568,"score_spread":0.2310115699629524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1562239909","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97833884,0.00023570759,0.000119570366,0.020124681,0.00013618868,0.00032499962,0.000047845697,0.0000014910726,0.0006706966],"genre_scores_gemma":[0.9991579,0.0000046426276,0.000021544407,0.00040559075,0.0003647669,0.000004479024,7.887178e-7,0.0000067212754,0.000033554432],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983659,0.00045395127,0.0002400018,0.00007660337,0.00034716597,0.00051638],"domain_scores_gemma":[0.99826866,0.00037678852,0.0004966367,0.00024465838,0.0000612392,0.0005519875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038540985,0.000077028635,0.00019864402,0.000047449055,0.000774655,0.000043204105,0.0005855885,0.000042066455,0.00012077689],"category_scores_gemma":[0.0002965731,0.000038521597,0.0001400262,0.00017915611,0.0004965723,0.0002098826,0.000007138514,0.000253059,6.148463e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000065495565,0.00018153268,0.9500821,0.000009652045,0.000031394662,6.985964e-8,0.010636946,0.000022728496,0.000043355914,0.0050123357,0.00033597444,0.033637345],"study_design_scores_gemma":[0.00015103346,0.00010700091,0.9861097,0.000021186393,0.000012328602,2.486657e-7,0.001820292,0.00003120882,0.00041780295,0.00044719165,0.010837462,0.000044545137],"about_ca_topic_score_codex":0.057141613,"about_ca_topic_score_gemma":0.047729544,"teacher_disagreement_score":0.036027584,"about_ca_system_score_codex":0.00029109433,"about_ca_system_score_gemma":0.004857909,"threshold_uncertainty_score":0.96964693},"labels":[],"label_agreement":null},{"id":"W1562280444","doi":"10.7202/007572ar","title":"Mobilité, accessibilité et cohésion sociale","year":2004,"lang":"fr","type":"article","venue":"Cahiers de géographie du Québec","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"","keywords":"Humanities; Political science; Geography; Philosophy","score_opus":0.011272381731336063,"score_gpt":0.26061614102411407,"score_spread":0.249343759292778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1562280444","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9269339,0.011233075,0.000980882,0.036687534,0.0018526943,0.0006318929,0.000051082545,0.00029536325,0.021333613],"genre_scores_gemma":[0.9774883,0.0013300999,0.0005292352,0.0028231686,0.00084121927,0.00006606975,0.000030187957,0.0000638199,0.016827924],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99578404,0.0005538635,0.0007595222,0.0009749983,0.00067804113,0.0012495322],"domain_scores_gemma":[0.9976472,0.00038452557,0.00031645165,0.0006591583,0.00027958027,0.00071306044],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.0021994764,0.00050129433,0.0005893035,0.00028681452,0.00135845,0.00024270418,0.0009692579,0.0010135375,0.0010307024],"category_scores_gemma":[0.00037433673,0.0005324824,0.00079839036,0.002733904,0.020464906,0.0013122886,0.00006185198,0.0011330359,0.00018393689],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016055765,0.00188893,0.6312213,0.0003640784,0.00024052021,0.0001499835,0.049198702,0.00018960134,0.00033993932,0.26615188,0.0043637357,0.045730766],"study_design_scores_gemma":[0.0024915258,0.00023710495,0.48946324,0.00030495983,0.00043002036,0.000007641463,0.0050583156,0.000012355883,0.0004894437,0.19829212,0.30186683,0.0013464676],"about_ca_topic_score_codex":0.21566209,"about_ca_topic_score_gemma":0.49339795,"teacher_disagreement_score":0.29750308,"about_ca_system_score_codex":0.001734766,"about_ca_system_score_gemma":0.0049892543,"threshold_uncertainty_score":0.99994165},"labels":[],"label_agreement":null},{"id":"W1564091878","doi":"","title":"Aging, Gender and Neighbourhood Determinants of Distance Traveled: A Multilevel Analysis in the Hamilton CMA","year":2007,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"","keywords":"Neighbourhood (mathematics); Multilevel model; Demographic economics; Transport engineering; Mode (computer interface); Geography; Econometrics; Demography; Engineering; Economics; Statistics; Mathematics; Sociology; Computer science","score_opus":0.06169135933584354,"score_gpt":0.38246104507376466,"score_spread":0.32076968573792114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1564091878","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9709615,0.000299487,0.000036441663,0.00004158006,0.000075207216,0.0005863319,0.000066078515,0.0000086857535,0.027924674],"genre_scores_gemma":[0.9959359,0.0034160137,0.00019741814,0.000031834643,0.00007922174,0.000048385868,0.000014966756,0.0000149743155,0.0002612908],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99686724,0.00047602234,0.00075535564,0.00075563486,0.00044075193,0.00070499623],"domain_scores_gemma":[0.9981834,0.0006696864,0.00025266877,0.00068046123,0.0000916707,0.0001221127],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006221754,0.00020882716,0.00061226037,0.0006062011,0.00021011772,0.00012470911,0.0009561253,0.00036137388,0.00007095376],"category_scores_gemma":[0.00022772157,0.0001826301,0.00020883176,0.00048469388,0.00092405593,0.00012786615,0.00015649907,0.0010747017,4.6462975e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003608378,0.00013361944,0.8923957,0.000103954895,0.000064693166,0.000023171558,0.017031845,0.00014528113,0.0000030364092,0.00018539964,7.5581784e-7,0.08987651],"study_design_scores_gemma":[0.00027807968,0.000012018389,0.9890294,0.00006433704,0.000038846112,1.8670293e-7,0.005121986,0.0031146235,0.000023424443,0.0014196925,0.00069978024,0.00019761792],"about_ca_topic_score_codex":0.0055934144,"about_ca_topic_score_gemma":0.11123198,"teacher_disagreement_score":0.10563856,"about_ca_system_score_codex":0.00036230654,"about_ca_system_score_gemma":0.00043075345,"threshold_uncertainty_score":0.9049857},"labels":[],"label_agreement":null},{"id":"W1564657698","doi":"10.2139/ssrn.1743598","title":"The Transportation Needs of Seniors in Hennepin County, Minnesota","year":2007,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Business; Transport engineering; Gerontology; Engineering; Medicine","score_opus":0.007655844844219436,"score_gpt":0.27244210481409104,"score_spread":0.2647862599698716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1564657698","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99392855,0.0015722692,0.0013802637,0.0010139669,0.00018064617,0.00011142014,0.0000019756405,0.0000105489635,0.0018003832],"genre_scores_gemma":[0.9970283,0.0021927836,0.000013393982,0.000020475096,0.00016151833,9.917891e-7,0.0000020646996,0.000006444296,0.0005740435],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99765646,0.00007421599,0.0004284861,0.00007626046,0.0003558611,0.0014086977],"domain_scores_gemma":[0.99945915,0.00012727172,0.00017467969,0.00008857694,0.00009143997,0.000058873386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0067989845,0.00007597167,0.000121319776,0.0001023776,0.00036793845,0.000027439546,0.0003048061,0.00007532194,0.000017831155],"category_scores_gemma":[0.000036765196,0.000056425284,0.0000897317,0.0005788637,0.00021122949,0.0002564089,0.0000017085197,0.00075605663,0.0000013761082],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013278033,0.0000784954,0.7709045,0.0000047540634,0.000028770393,0.0000031863726,0.00960685,0.000008531994,0.0002169685,0.20022427,0.000022485274,0.018768411],"study_design_scores_gemma":[0.00082199887,0.00011236606,0.67590755,0.000027614366,0.0000364831,0.0000029537819,0.09740598,0.000005640952,0.0002776128,0.21327518,0.011927371,0.00019925222],"about_ca_topic_score_codex":0.0039107804,"about_ca_topic_score_gemma":0.43799597,"teacher_disagreement_score":0.4340852,"about_ca_system_score_codex":0.00043572884,"about_ca_system_score_gemma":0.001376045,"threshold_uncertainty_score":0.59119564},"labels":[],"label_agreement":null},{"id":"W1565179074","doi":"10.1002/9781118558041.ch9","title":"Accessibility to Proximity Services in Poor Areas of the Island of Montreal","year":2011,"lang":"en","type":"other","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geography; Business; Telecommunications; Computer science","score_opus":0.017303363961127798,"score_gpt":0.27944688774257676,"score_spread":0.26214352378144895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1565179074","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21435916,0.00012918872,0.000008808544,0.00007520383,0.00014690583,0.0007721274,0.00008783946,0.000031845357,0.7843889],"genre_scores_gemma":[0.78674793,0.000011541486,0.000057717934,0.000044119468,0.00006502349,0.000011542803,0.0000036392248,0.000030990846,0.21302752],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985764,0.00013744718,0.00037230173,0.00033634194,0.00036230634,0.00021522667],"domain_scores_gemma":[0.99903524,0.000028532895,0.00031706275,0.00048283424,0.00006545865,0.000070895956],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004947978,0.00015401759,0.00040476877,0.00009066658,0.000039344824,0.000012068157,0.0009893371,0.00026384552,0.0058721234],"category_scores_gemma":[0.000028036187,0.000094618044,0.00012227004,0.00041360548,0.0002838529,0.00010750607,0.00008138992,0.000121489364,0.000006011342],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030495507,0.00021580947,0.98934597,0.00026090117,0.000015495743,3.626371e-7,0.0043062326,9.2992146e-8,0.0000059147774,0.00016564634,0.005029691,0.0006233987],"study_design_scores_gemma":[0.00016863851,0.000011482805,0.98964715,0.00019659758,0.0000237368,9.195128e-9,0.00052133517,8.867337e-7,0.00018547122,0.001382922,0.0077404156,0.000121368415],"about_ca_topic_score_codex":0.40677446,"about_ca_topic_score_gemma":0.93558353,"teacher_disagreement_score":0.57238877,"about_ca_system_score_codex":0.000029838598,"about_ca_system_score_gemma":0.00019799665,"threshold_uncertainty_score":0.99503666},"labels":[],"label_agreement":null},{"id":"W1565319450","doi":"","title":"Benchmarking Transport Policy in an Aging Society in Ontario, Canada","year":2007,"lang":"en","type":"article","venue":"11th International Conference on Mobility and Transport for Elderly and Disabled Persons (TRANSED)Transport CanadaTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Subsidy; Public transport; Public policy; Population ageing; Government (linguistics); Business; Economic growth; Stock (firearms); Benchmarking; Population; Public economics; Geography; Economics; Transport engineering; Marketing; Engineering; Environmental health","score_opus":0.07206199585750662,"score_gpt":0.37576428450481186,"score_spread":0.30370228864730525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1565319450","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9855567,0.00007433666,0.0015577058,0.0030627907,0.00028989755,0.0018378608,0.00086791225,0.00006526886,0.0066875187],"genre_scores_gemma":[0.99646324,0.00027133804,0.00056931,0.00032909663,0.00016526663,0.00020024551,0.0014228703,0.0000462776,0.0005323845],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9931608,0.00015668478,0.0014179024,0.0015718986,0.0019466255,0.0017461136],"domain_scores_gemma":[0.9975797,0.00039061386,0.00015613838,0.00040451152,0.0005097757,0.0009592533],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0047764005,0.0005724679,0.0007421887,0.0006643761,0.0010102845,0.00009771572,0.0006860535,0.00045972093,0.0008529706],"category_scores_gemma":[0.00002341574,0.00063991686,0.00025788427,0.0009652826,0.0011157051,0.0012390343,0.000004041599,0.0014701857,3.299987e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012326294,0.0004930031,0.94725525,0.0002647356,0.00006947729,0.00017257205,0.022042857,0.00020306482,0.00015593166,0.025222536,0.000016793216,0.002871124],"study_design_scores_gemma":[0.0025683069,0.00025175654,0.97411835,0.00026817038,0.000052237003,8.948622e-7,0.012778948,0.0002139379,0.0000675699,0.002617166,0.0063894903,0.0006731486],"about_ca_topic_score_codex":0.9918512,"about_ca_topic_score_gemma":0.99994344,"teacher_disagreement_score":0.0268631,"about_ca_system_score_codex":0.0013274173,"about_ca_system_score_gemma":0.007481522,"threshold_uncertainty_score":0.99960524},"labels":[],"label_agreement":null},{"id":"W1565852625","doi":"10.1111/1468-2427.12162_6","title":"AndrewRoss2011: Bird on Fire: Lessons from the World's Least Sustainable City. New York: Oxford University Press.","year":2014,"lang":"en","type":"article","venue":"International Journal of Urban and Regional Research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Library science; Citation; Sociology; Media studies; Computer science","score_opus":0.13078901708289614,"score_gpt":0.37851403285569374,"score_spread":0.2477250157727976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1565852625","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76388747,0.00256486,0.00023842767,0.15506916,0.0007574962,0.0003024596,0.000032945274,0.000037595724,0.07710962],"genre_scores_gemma":[0.9450027,0.00066207425,0.000058697955,0.00024376497,0.0017174059,3.793796e-7,0.0000037168984,0.000007976134,0.05230332],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99737835,0.00035405377,0.00020784973,0.00018915726,0.0015523939,0.0003181742],"domain_scores_gemma":[0.99753505,0.001129479,0.00014937013,0.0001251076,0.00080094935,0.00026002442],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001921575,0.00008756238,0.00013908643,0.00015213348,0.00063441735,0.00025363246,0.0010224312,0.00007225153,0.0001709584],"category_scores_gemma":[0.0003154079,0.00006137388,0.00011371191,0.00025743083,0.0007360388,0.00035073175,0.00008725793,0.000582125,0.0000036518654],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014379359,0.00026334223,0.22688748,0.000006739018,0.00019622283,0.0001403449,0.0034719002,0.000025345724,0.000016427393,0.33897543,0.41167375,0.016905088],"study_design_scores_gemma":[0.0005591267,0.000063392516,0.10815582,0.0000668986,0.000009320035,0.0000016174133,0.0017150386,0.000030062529,0.00001265854,0.009067969,0.8802512,0.00006687013],"about_ca_topic_score_codex":0.009277184,"about_ca_topic_score_gemma":0.0026359148,"teacher_disagreement_score":0.4685775,"about_ca_system_score_codex":0.00018269998,"about_ca_system_score_gemma":0.00058710156,"threshold_uncertainty_score":0.9973201},"labels":[],"label_agreement":null},{"id":"W1567623860","doi":"","title":"Health and Residential Mobility in Later Life: A New Analytical Technique to Address an Old Problem","year":2000,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Longitudinal data; Logistic regression; Longitudinal study; Random variate; Proportional hazards model; Econometrics; Psychology; Gerontology; Statistics; Demography; Mathematics; Medicine; Sociology; Random variable","score_opus":0.050925590064389646,"score_gpt":0.3912420765469797,"score_spread":0.34031648648259005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1567623860","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9747345,0.000110936424,0.000005037986,0.0034964487,0.00008069088,0.0031222356,0.00004755278,0.000059999315,0.018342627],"genre_scores_gemma":[0.9941055,0.00208768,0.0010204201,0.000250366,0.0003100256,0.00033023488,0.000040778566,0.000033319935,0.0018216384],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9952969,0.0009041778,0.00091972813,0.0014004773,0.0004038417,0.0010748752],"domain_scores_gemma":[0.9975171,0.00020160247,0.00011318127,0.00084137707,0.00006651172,0.0012601978],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0060273893,0.00025896568,0.0007024761,0.00053054886,0.0002539162,0.0003275308,0.0008652251,0.00059183943,0.00030977058],"category_scores_gemma":[0.00032659352,0.000282831,0.0001010876,0.00032597577,0.0005746063,0.00033908302,0.00041915654,0.0017813913,0.000003983098],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007845318,0.00073228806,0.8575319,0.00044203602,0.000038894294,0.000042060572,0.014797663,0.0009889813,0.000011254382,0.0005277344,0.00024854657,0.12385412],"study_design_scores_gemma":[0.0016670167,0.000583097,0.9220452,0.0012258965,0.000017012313,0.0000018041554,0.0037182863,0.0014334747,0.000066611145,0.041926615,0.02573631,0.0015786927],"about_ca_topic_score_codex":0.03998528,"about_ca_topic_score_gemma":0.20571704,"teacher_disagreement_score":0.16573177,"about_ca_system_score_codex":0.0011491621,"about_ca_system_score_gemma":0.004500511,"threshold_uncertainty_score":0.9999624},"labels":[],"label_agreement":null},{"id":"W1569030752","doi":"","title":"Public Transit Use Among Immigrants","year":2004,"lang":"en","type":"article","venue":"Analytical Studies Branch Research Paper Series","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":79,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Immigration; Public transport; Residence; Demographic economics; Transit (satellite); Population; Geography; Political science; Economic growth; Sociology; Demography; Economics; Law","score_opus":0.2532802650870659,"score_gpt":0.42430202743029616,"score_spread":0.17102176234323024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1569030752","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9585234,0.0018362908,0.000051904728,0.026551077,0.00014653362,0.00045962934,0.000013971074,0.00015684766,0.012260341],"genre_scores_gemma":[0.9927188,0.0025103705,0.00006899718,0.00023552525,0.00029125315,0.000057421596,0.000005829601,0.00001857652,0.0040931813],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99556047,0.00040042304,0.0004106295,0.00060004735,0.0016540894,0.0013743406],"domain_scores_gemma":[0.9975879,0.00055862917,0.00003615465,0.00039951268,0.0009521011,0.00046567255],"candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0023759708,0.00021121405,0.00044920776,0.00016566965,0.0024196915,0.0004831731,0.0005696536,0.00015937591,0.00045228633],"category_scores_gemma":[0.0021923287,0.00017000956,0.0002114479,0.0016318461,0.005709467,0.0029877354,0.00010371617,0.0005926611,0.000100883684],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018767234,0.00048640592,0.84492344,0.000120807774,0.0006046516,0.00014078106,0.023944812,0.000009017175,0.00015258395,0.12162626,0.0026406292,0.0051629427],"study_design_scores_gemma":[0.0006585181,0.00013815818,0.8731395,0.0000752399,0.000041540974,4.3952002e-7,0.0120006325,0.0000014059835,0.00011806279,0.03868898,0.07478867,0.00034887268],"about_ca_topic_score_codex":0.013102813,"about_ca_topic_score_gemma":0.21606912,"teacher_disagreement_score":0.20296632,"about_ca_system_score_codex":0.0002510005,"about_ca_system_score_gemma":0.0003313271,"threshold_uncertainty_score":0.998879},"labels":[],"label_agreement":null},{"id":"W1569376639","doi":"","title":"IMPACTS-Hamilton: A GIS-Based Decision-Support Tool for Evaluating the Transportation-Related Impacts of an Aging Population","year":2006,"lang":"en","type":"article","venue":"Econstor (Econstor)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Population; Geography; Population ageing; Decision support system; Demography; Computer science; Sociology","score_opus":0.024113401955422664,"score_gpt":0.33495261994380604,"score_spread":0.3108392179883834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1569376639","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954918,0.00019932962,0.0008733927,0.00021955896,0.0007033988,0.001177427,0.0001980896,0.00013545272,0.001001574],"genre_scores_gemma":[0.99619377,0.000004071463,0.0029173384,0.00012164745,0.00023565353,0.00005858841,0.00031043027,0.000032107917,0.00012640665],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968883,0.00019586101,0.0012088821,0.00050757616,0.00062137627,0.00057800196],"domain_scores_gemma":[0.99743134,0.0008987978,0.00071860995,0.00046152074,0.00031531477,0.00017441146],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0030013637,0.00027385235,0.0004402872,0.00018017578,0.0009375314,0.00011704215,0.000424954,0.00023310001,0.0009815025],"category_scores_gemma":[0.0002760454,0.00023259212,0.00034959716,0.0004631752,0.00045859104,0.0009515168,0.000004274501,0.0002082192,0.000011099461],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010116919,0.00013801715,0.99218714,0.00003771293,0.000028061515,0.0000027413353,0.0025266204,0.00054228277,0.0003265085,0.00080372446,0.00015784321,0.0031482016],"study_design_scores_gemma":[0.0013686741,0.00017731017,0.9922282,0.00008802799,0.00012854867,7.4558346e-7,0.00055999873,0.0013950209,0.00038289165,0.0030032098,0.00034692528,0.00032043608],"about_ca_topic_score_codex":0.009378632,"about_ca_topic_score_gemma":0.042135734,"teacher_disagreement_score":0.032757103,"about_ca_system_score_codex":0.00027535195,"about_ca_system_score_gemma":0.0010082328,"threshold_uncertainty_score":0.99993175},"labels":[],"label_agreement":null},{"id":"W1571048429","doi":"10.7202/019876ar","title":"Jamais sans ma voiture ? Les banlieusards des franges de Québec","year":2009,"lang":"fr","type":"article","venue":"Recherches sociographiques","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"McGill University; Natural Sciences and Engineering Research Council of Canada; Université Laval","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.0977669974731591,"score_gpt":0.36362367923196987,"score_spread":0.2658566817588108,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1571048429","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81447065,0.1277473,0.00069189863,0.041712698,0.00026262933,0.0003053823,0.000057996553,0.00044365536,0.01430782],"genre_scores_gemma":[0.9484325,0.031149944,0.009693673,0.00149271,0.001177345,0.00002309325,0.000019830759,0.000043766446,0.007967148],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99556947,0.0015811824,0.00051619636,0.00067660667,0.00048341064,0.0011731344],"domain_scores_gemma":[0.99803364,0.00062180776,0.00020670558,0.00042171875,0.00027845707,0.00043764833],"candidate_categories":["metaepi_narrow","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0027748635,0.0005128106,0.0005885981,0.0002162588,0.0010662802,0.00018184292,0.00071353803,0.0016904885,0.0007200247],"category_scores_gemma":[0.00029395803,0.00051561603,0.0008987564,0.001462156,0.0033753861,0.00072022557,0.000026880178,0.0012836414,0.000026954602],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033623946,0.0004028167,0.7368781,0.00013583315,0.00012643643,0.000018407034,0.09632291,0.0000011469817,0.00024719667,0.0028324863,0.0051430296,0.15785801],"study_design_scores_gemma":[0.0002355808,0.00020370024,0.8511142,0.000298743,0.00023672226,0.000001829056,0.006527905,0.000006574092,0.00087371934,0.08523655,0.054659102,0.0006053454],"about_ca_topic_score_codex":0.569655,"about_ca_topic_score_gemma":0.5793155,"teacher_disagreement_score":0.15725267,"about_ca_system_score_codex":0.0024984176,"about_ca_system_score_gemma":0.0008968247,"threshold_uncertainty_score":0.9997295},"labels":[],"label_agreement":null},{"id":"W1575060149","doi":"10.1177/155862351501000203","title":"The Economic Choice of Participation and Time Spent in Physical Activity and Sport in Canada","year":2015,"lang":"en","type":"article","venue":"International Journal of Sport Finance","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Physical activity; Time-use survey; Survey data collection; Community participation; Socioeconomics; Economics; Medicine; Physical therapy; Statistics; Mathematics","score_opus":0.024740015729485546,"score_gpt":0.3194653204176646,"score_spread":0.2947253046881791,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1575060149","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985729,0.000080817474,9.405797e-7,0.00072551565,0.0001803315,0.00004220933,0.000002686732,5.4175945e-7,0.000394043],"genre_scores_gemma":[0.9997413,0.00007923542,0.0000107795495,0.000009695431,0.00009907475,8.458824e-7,4.237962e-7,0.0000014658422,0.000057142348],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99941635,0.000006237211,0.00020935954,0.00006337656,0.0002278591,0.000076807104],"domain_scores_gemma":[0.99957955,0.000032403732,0.00024292633,0.000033447042,0.00007487505,0.000036776488],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043224017,0.000037356695,0.00012071357,0.000027491556,0.00001856627,0.000013481183,0.00013750217,0.000013639641,0.0000043266355],"category_scores_gemma":[0.000021467162,0.000029650522,0.0000148928075,0.00003819376,0.00008839689,0.00027207466,0.000011477644,0.00008091023,2.8561078e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007285634,0.000030317644,0.99418104,9.2924364e-7,0.0000041791627,0.00001596302,0.00048456123,0.00014653697,0.000009132209,0.0005507921,0.000024492025,0.004479201],"study_design_scores_gemma":[0.00024777147,0.000010921929,0.99617344,0.000021075844,0.0000023532918,5.7904947e-7,0.000097059,0.00039012035,0.00011361297,0.0005594408,0.0023537956,0.000029810002],"about_ca_topic_score_codex":0.5763284,"about_ca_topic_score_gemma":0.8596669,"teacher_disagreement_score":0.28333852,"about_ca_system_score_codex":0.00037947035,"about_ca_system_score_gemma":0.00096008356,"threshold_uncertainty_score":0.42649287},"labels":[],"label_agreement":null},{"id":"W1576006388","doi":"10.1002/atr.1234","title":"The impacts of household structure on the individual stochastic travel and out‐of‐home activity time budgets","year":2013,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"TRIPS architecture; Demographic economics; Duration (music); Overtime; Population; Time-use survey; Household income; Travel behavior; Time limit; Travel time; Economics; Business; Geography; Labour economics; Work (physics); Transport engineering; Demography; Microeconomics; Engineering","score_opus":0.01825808484675569,"score_gpt":0.26779854187448604,"score_spread":0.24954045702773034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1576006388","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99846566,0.00012681686,0.00018880471,0.000672524,0.00018173645,0.00025174778,0.00006822707,0.0000045524457,0.000039943392],"genre_scores_gemma":[0.9997386,0.00005296959,0.00009395486,0.000021640775,0.000067582994,0.00000119842,0.0000028379902,0.000007231627,0.000013991878],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9987765,0.00007015136,0.00039656286,0.00008901267,0.00051035325,0.00015741412],"domain_scores_gemma":[0.9986021,0.00037015873,0.00066765636,0.00010190496,0.00018043266,0.00007774274],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047067873,0.00009869326,0.00021642384,0.00004785631,0.00021028519,0.00002965528,0.00021461332,0.00006630915,0.00004052491],"category_scores_gemma":[0.00005638921,0.000054464985,0.00009007996,0.00013932682,0.00029944244,0.0005326182,0.0000013207366,0.00023197454,3.3275805e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0029312794,0.0010700187,0.21816391,0.0003425874,0.00091211946,0.00001752111,0.2555482,0.020698505,0.37254813,0.005173943,0.0004323703,0.12216142],"study_design_scores_gemma":[0.00039748702,0.00015168685,0.9888238,0.000050354076,0.00006196027,2.1744036e-7,0.0019805685,0.0000048928123,0.003230568,0.0052209045,0.000018207735,0.000059397742],"about_ca_topic_score_codex":0.00011117484,"about_ca_topic_score_gemma":0.0007731382,"teacher_disagreement_score":0.77065986,"about_ca_system_score_codex":0.00002026925,"about_ca_system_score_gemma":0.00010433657,"threshold_uncertainty_score":0.22210176},"labels":[],"label_agreement":null},{"id":"W1576233839","doi":"","title":"Density and transport mode choice in Australian, Canadian and US cities","year":2009,"lang":"en","type":"article","venue":"Transport Research Forum","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Public transport; Census; Compact city; Mode (computer interface); Geography; Regional science; Population; Hectare; Population density; Transport engineering; Econometrics; Statistics; Demography; Urban planning; Computer science; Sociology; Economics; Engineering; Mathematics; Archaeology; Civil engineering","score_opus":0.06600456107774881,"score_gpt":0.3832572051336237,"score_spread":0.3172526440558749,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1576233839","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97460324,0.00018733158,0.000005732449,0.014621607,0.00004380096,0.000512423,0.000049281578,0.00004747094,0.009929089],"genre_scores_gemma":[0.9956289,0.0002304562,0.000060112234,0.00021525391,0.000067851004,0.000012323575,0.000035365974,0.00001075996,0.0037389572],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970281,0.000110676476,0.000316638,0.0005053518,0.0006822443,0.0013569999],"domain_scores_gemma":[0.9987555,0.0000733896,0.000023970653,0.0002215185,0.00012877987,0.0007968052],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016114933,0.00017376505,0.00028867013,0.00036524746,0.00079250865,0.000060095215,0.00029467585,0.00022920441,0.00019394279],"category_scores_gemma":[0.000029249075,0.00017727191,0.000056953115,0.0006090137,0.00093740673,0.00057361217,0.0000041307208,0.00060763396,0.000003994169],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042566182,0.000042147843,0.9921675,0.000025877327,0.000005607885,0.00011801604,0.00376124,0.0000025340603,0.000060304064,0.0020738528,0.0001931885,0.001507166],"study_design_scores_gemma":[0.00035585,0.0000594657,0.96608657,0.00003722948,0.0000086144555,7.2407704e-7,0.0015361961,0.00000807772,0.00009384473,0.0046126237,0.027005494,0.00019528726],"about_ca_topic_score_codex":0.7858466,"about_ca_topic_score_gemma":0.9885832,"teacher_disagreement_score":0.20273663,"about_ca_system_score_codex":0.00017315867,"about_ca_system_score_gemma":0.0007176711,"threshold_uncertainty_score":0.7228939},"labels":[],"label_agreement":null},{"id":"W1576343632","doi":"10.17269/cjph.106.4338","title":"Application d’un outil fondé sur les données probantes pour évaluer les effets sanitaires de changements dans le milieu bâti","year":2015,"lang":"fr","type":"article","venue":"Canadian Journal of Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Toronto; Public Health Ontario","funders":"","keywords":"Walkability; TRIPS architecture; Greenhouse gas; Recreation; Transport engineering; Geography; Per capita; Built environment; Land use; Business; Environmental health; Engineering; Political science; Civil engineering; Medicine","score_opus":0.11398288771679033,"score_gpt":0.30675133786298703,"score_spread":0.1927684501461967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1576343632","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8073703,0.03776719,0.005188971,0.14732589,0.0008397738,0.00042197795,0.000102782295,0.000018398656,0.00096472236],"genre_scores_gemma":[0.99491006,0.00058005383,0.0012504898,0.0007863281,0.0010738306,0.000013190929,0.000021001513,0.000030797943,0.0013342191],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99589497,0.0010432685,0.0008531537,0.0003047063,0.00056395755,0.001339955],"domain_scores_gemma":[0.99421316,0.00011453216,0.0007268896,0.0002470035,0.0008314331,0.0038669836],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0071058553,0.00024998662,0.00046709925,0.00031486902,0.0011494153,0.00024243745,0.00078798446,0.00023806418,0.00020142925],"category_scores_gemma":[0.000625666,0.0002471974,0.00017230128,0.0005947825,0.00076726964,0.0009174408,0.000016410027,0.0005036212,0.00002209577],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006770222,0.00018027783,0.6842392,0.0002128467,0.000065430555,0.000031867392,0.025676904,0.000009347318,0.000015510179,0.003996462,0.008577178,0.2769882],"study_design_scores_gemma":[0.00120226,0.0002146188,0.7079203,0.0003264514,0.00005109013,0.000023445458,0.03325055,0.0001924784,0.000064037464,0.0072963866,0.24910766,0.00035073358],"about_ca_topic_score_codex":0.56843907,"about_ca_topic_score_gemma":0.84405273,"teacher_disagreement_score":0.27663746,"about_ca_system_score_codex":0.0020157308,"about_ca_system_score_gemma":0.030645814,"threshold_uncertainty_score":0.99999803},"labels":[],"label_agreement":null},{"id":"W1578420136","doi":"10.1111/gec3.12203","title":"Gentrification, Transit, and Land Use: Moving Beyond Neoclassical Theory","year":2015,"lang":"en","type":"article","venue":"Geography Compass","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":63,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Concordia University","keywords":"Gentrification; Equity (law); Economic geography; Perspective (graphical); Public transport; Marxist philosophy; Land use; Economics; Sociology; Economic growth; Political science; Law; Computer science; Civil engineering; Engineering","score_opus":0.02971047756066061,"score_gpt":0.2743314703299464,"score_spread":0.2446209927692858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1578420136","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9880767,0.0010438369,0.003075799,0.0014926229,0.00021310765,0.0001916072,0.000017024673,0.00012292342,0.005766365],"genre_scores_gemma":[0.9991,0.000034304154,0.00035183167,0.00018569808,0.00015008166,0.000008164456,0.00001539785,0.0000063745747,0.00014814467],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988003,0.00019238712,0.00017381323,0.0002575268,0.00030485188,0.00027113224],"domain_scores_gemma":[0.99924475,0.00013620939,0.000050363542,0.00017611856,0.00011477271,0.00027778684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008158386,0.00010004745,0.00015237967,0.00008725066,0.00034244562,0.00018111085,0.0001847885,0.00008167728,0.000054812757],"category_scores_gemma":[0.000043442324,0.00009066099,0.000076096236,0.0003471585,0.0004876944,0.00038835005,0.000011132433,0.00012133749,0.0000061662768],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029217252,0.00005278634,0.98263496,0.000005111262,0.000018372299,0.0000029189234,0.002807638,0.0000035500727,0.00001135998,0.010828943,0.00071982684,0.002885333],"study_design_scores_gemma":[0.00035945626,0.000014902047,0.9319225,0.0000055974892,0.000033539935,2.917785e-7,0.0007589721,0.000034630037,0.00001488757,0.025957942,0.040758837,0.00013845906],"about_ca_topic_score_codex":0.0012380308,"about_ca_topic_score_gemma":0.0012525279,"teacher_disagreement_score":0.05071246,"about_ca_system_score_codex":0.000015036457,"about_ca_system_score_gemma":0.00007876975,"threshold_uncertainty_score":0.3697048},"labels":[],"label_agreement":null},{"id":"W1581132845","doi":"10.1007/bf03405328","title":"Mapping Stairwell Accessibility in Vancouver’s Downtown Core","year":2006,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of British Columbia; Simon Fraser University","funders":"","keywords":"Signage; Downtown; Doors; Architectural engineering; Built environment; Visibility; Work (physics); Physical activity; Transport engineering; Civil engineering; Engineering; Geography; Business; Meteorology; Medicine; Advertising","score_opus":0.07888061847932273,"score_gpt":0.33142349233593016,"score_spread":0.25254287385660745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1581132845","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9676406,0.0008978906,0.00042013056,0.009231176,0.001012624,0.00020726811,0.00002213219,0.00001277656,0.020555425],"genre_scores_gemma":[0.9978969,0.000020661331,0.00025831853,0.00063261576,0.000487298,0.0000012913264,0.000005135817,0.000008076473,0.0006897006],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972686,0.00025797845,0.0008919815,0.00019714473,0.00038268836,0.0010015947],"domain_scores_gemma":[0.997299,0.00007033696,0.0004588112,0.00018048151,0.00030552386,0.001685857],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0067027104,0.000111861526,0.0003299306,0.00052599685,0.00047114416,0.00017659861,0.0005569941,0.000110794645,0.0010812721],"category_scores_gemma":[0.00031994953,0.0001064203,0.0001001327,0.00080134114,0.00031285326,0.00091504306,0.0000062114195,0.00041317614,0.0000037955258],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000016881472,0.000037750335,0.969952,0.000024644083,0.0000034372038,0.000045177796,0.0054277787,0.000003768383,7.7298e-7,0.0009440386,0.010819383,0.012739577],"study_design_scores_gemma":[0.00026432757,0.00002317146,0.8200074,0.000033435143,0.000001046741,7.37955e-7,0.005139259,0.000005487748,6.231607e-7,0.0038060145,0.17062674,0.00009177471],"about_ca_topic_score_codex":0.62918556,"about_ca_topic_score_gemma":0.99208486,"teacher_disagreement_score":0.3628993,"about_ca_system_score_codex":0.0021630873,"about_ca_system_score_gemma":0.02566718,"threshold_uncertainty_score":0.99983186},"labels":[],"label_agreement":null},{"id":"W1581488186","doi":"10.1007/bf03404178","title":"Active Transportation Environments Surrounding Canadian Schools","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Queen's University","funders":"Canadian Institutes of Health Research; Health Canada; Public Health Agency; Public Health Agency of Canada; World Health Organization; Heart and Stroke Foundation of Canada","keywords":"Neighbourhood (mathematics); Transport engineering; Rural area; Business; Geography; Engineering; Political science","score_opus":0.10766106698204614,"score_gpt":0.31103487433762517,"score_spread":0.20337380735557903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1581488186","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98004586,0.00028630986,0.00050365867,0.007963919,0.00075871125,0.00020076951,0.00009315747,0.0000062766508,0.010141335],"genre_scores_gemma":[0.9984906,0.000046162797,0.0002432811,0.0007409863,0.00018579955,0.000001580067,0.000014265328,0.000010116291,0.00026721528],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99804324,0.00023217888,0.00043979747,0.00013231265,0.00027536368,0.0008770954],"domain_scores_gemma":[0.99410856,0.00002082133,0.00029072343,0.00010695039,0.000102417755,0.0053705405],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002492746,0.00009162842,0.0001960734,0.00044936268,0.0007938994,0.00008927536,0.0003546704,0.00009683258,0.0014587971],"category_scores_gemma":[0.00016670035,0.00009523024,0.000081688704,0.00033918404,0.00017505814,0.0010941182,5.793543e-7,0.0003375767,0.000015752075],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000025343224,0.000015709973,0.9330246,0.000006157374,0.000023251145,0.000055467684,0.042721525,3.3217617e-7,0.0000012713939,0.0034855339,0.0008148684,0.01984879],"study_design_scores_gemma":[0.00014571825,0.000041426214,0.8341934,0.000018708146,0.0000056717186,9.767248e-7,0.011572651,2.889305e-7,0.00000460876,0.0006533038,0.15327714,0.000086070475],"about_ca_topic_score_codex":0.9665966,"about_ca_topic_score_gemma":0.9982981,"teacher_disagreement_score":0.15246227,"about_ca_system_score_codex":0.0024884532,"about_ca_system_score_gemma":0.031430807,"threshold_uncertainty_score":0.999454},"labels":[],"label_agreement":null},{"id":"W1583641329","doi":"10.1007/bf03405363","title":"Corrélats subjectifs de la marche et du quartier chez les visiteurs du site Web de Canada en mouvement","year":2006,"lang":"fr","type":"article","venue":"Canadian Journal of Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":42,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Hamilton Regional Laboratory Medicine Program; Simon Fraser University; PolicyWise for Children & Families; University of Alberta","funders":"","keywords":"Neighbourhood (mathematics); Demographics; Demography; Physical activity; Geography; Moderation; Population; Psychology; Perception; Gerontology; Medicine; Social psychology; Sociology; Physical therapy","score_opus":0.021944778722940112,"score_gpt":0.2804743720202783,"score_spread":0.2585295932973382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1583641329","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82095194,0.0053796414,0.0003570517,0.16859859,0.0010388811,0.00014376976,0.00017247534,0.000007816512,0.003349844],"genre_scores_gemma":[0.99119866,0.00044913078,0.00022356962,0.0044197068,0.0014210254,0.0000024687147,0.000017995753,0.000025665782,0.0022417991],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9940366,0.0027335407,0.0008325107,0.00023613033,0.00054667116,0.0016145327],"domain_scores_gemma":[0.99482936,0.00039116511,0.0005220079,0.00016855364,0.00037487573,0.0037140222],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.012017871,0.00022270426,0.00040845227,0.00024695473,0.0008109625,0.00032841123,0.0005277425,0.00023035976,0.0011879503],"category_scores_gemma":[0.00043705365,0.00023442168,0.0001420932,0.00077696645,0.00060666515,0.00052368245,0.000010138871,0.0008497081,0.0000039594656],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.0000044760973,0.00006730194,0.9084511,0.000063119616,0.00002840563,0.00030872042,0.011513482,0.00007902221,0.0000059604254,0.0033183636,0.062828384,0.013331702],"study_design_scores_gemma":[0.0002483074,0.000054656022,0.5534465,0.00004842361,0.000011626784,0.000030037356,0.00323221,0.000076903656,0.0000024562603,0.0002840423,0.44243798,0.00012687793],"about_ca_topic_score_codex":0.9980604,"about_ca_topic_score_gemma":0.9998192,"teacher_disagreement_score":0.37960958,"about_ca_system_score_codex":0.009341628,"about_ca_system_score_gemma":0.1540756,"threshold_uncertainty_score":0.9997251},"labels":[],"label_agreement":null},{"id":"W1584241615","doi":"10.1007/bf03403732","title":"Measuring and mapping disparities in access to fresh fruits and vegetables in Montréal.","year":2008,"lang":"en","type":"article","venue":"PubMed","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geography; Sustainability; Population; Georeference; Business; Agricultural economics; Index (typography); Agricultural science; Socioeconomics; Census; Environmental health; Medicine; Environmental science; Economics; Ecology","score_opus":0.09049852940201156,"score_gpt":0.2526307510075294,"score_spread":0.16213222160551785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1584241615","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9923839,0.0025246684,0.0000075319654,0.0010175004,0.00006213226,0.0004420466,0.0000022879333,0.000023143743,0.0035367825],"genre_scores_gemma":[0.9990263,0.00034265153,0.00003571796,0.0001101579,0.00004717736,0.00025921583,5.6017353e-7,0.0000042736615,0.00017394497],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990711,0.00004646143,0.00016003184,0.00021126599,0.000164317,0.00034683055],"domain_scores_gemma":[0.9997149,0.000054498843,0.000022937269,0.000067487046,0.000016035117,0.00012410786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005251688,0.000069090805,0.00014884114,0.00011974339,0.00017425524,0.000098211975,0.00013797464,0.00004858617,0.0000039414504],"category_scores_gemma":[0.00012746282,0.00006901749,0.000011424651,0.00029355465,0.00012996576,0.00059630617,0.000048761634,0.00008414443,3.3567179e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000066307252,0.00001724089,0.9863414,0.00001936059,0.0000017483118,0.00001170608,0.0038871104,0.00000368066,0.0000031602615,0.00007117911,0.000046459827,0.009590302],"study_design_scores_gemma":[0.00019281375,0.0000010239279,0.99754566,0.000019523904,0.0000014107751,2.0109813e-7,0.00041203105,0.00000351415,0.00003895469,0.0007939251,0.0009013116,0.00008965148],"about_ca_topic_score_codex":0.042431124,"about_ca_topic_score_gemma":0.26420957,"teacher_disagreement_score":0.22177844,"about_ca_system_score_codex":0.000047968526,"about_ca_system_score_gemma":0.000022219958,"threshold_uncertainty_score":0.9639454},"labels":[],"label_agreement":null},{"id":"W1584242826","doi":"10.1016/j.amepre.2013.12.009","title":"Active Transportation and Adolescents’ Health","year":2014,"lang":"en","type":"article","venue":"American Journal of Preventive Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":55,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Children's Hospital of Eastern Ontario; University of Ottawa","funders":"Canadian Institutes of Health Research","keywords":"Cycling; Medicine; Waist; Physical therapy; Demography; Physical fitness; Aerobic exercise; Gerontology; Body mass index; Internal medicine","score_opus":0.011588706989357793,"score_gpt":0.32532192401451593,"score_spread":0.31373321702515816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1584242826","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98413175,0.00026431712,0.008865071,0.0057700695,0.0001856503,0.00010789697,0.0000024606259,0.0000076000947,0.0006651729],"genre_scores_gemma":[0.9986765,0.00019914261,0.00027970766,0.0004038404,0.00036186434,6.334788e-7,0.0000018418021,0.0000045602046,0.00007195205],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99875027,0.00032573086,0.0003416877,0.00010132365,0.00032706553,0.00015392891],"domain_scores_gemma":[0.99888855,0.00007560875,0.00062809954,0.000053487747,0.00014880077,0.00020543886],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013059312,0.000069379705,0.00032205693,0.00007546253,0.00013021764,0.000005385914,0.00011171633,0.000013904147,0.00006737179],"category_scores_gemma":[0.00010894634,0.00005175771,0.00004847363,0.00021648261,0.00092696695,0.00018348568,0.0000017327234,0.00014847753,6.01057e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014588067,0.00008252415,0.45195037,0.000027392562,0.000037026428,0.0000031710447,0.03608672,5.8838947e-7,0.00006902293,0.00060752773,0.00028056826,0.5107092],"study_design_scores_gemma":[0.000598245,0.0007997784,0.9790176,0.0003140569,0.000039906274,6.7793144e-7,0.012084228,0.0000013997889,0.00002114841,0.0013378817,0.0057296907,0.000055366116],"about_ca_topic_score_codex":0.001593722,"about_ca_topic_score_gemma":0.0010955661,"teacher_disagreement_score":0.52706724,"about_ca_system_score_codex":0.000048950784,"about_ca_system_score_gemma":0.00011518459,"threshold_uncertainty_score":0.34154484},"labels":[],"label_agreement":null},{"id":"W1584365006","doi":"","title":"Integration of Bicycles and Transit","year":2005,"lang":"en","type":"article","venue":"Synthesis of transit practice","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transit (satellite); Transport engineering; Public transport; Business; Transit system; Computer science; Engineering","score_opus":0.022270468216135396,"score_gpt":0.3203334617519751,"score_spread":0.2980629935358397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1584365006","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94254106,0.0007527811,0.0037025053,0.012040054,0.000048860384,0.00021642007,0.000021339798,0.000037956237,0.04063903],"genre_scores_gemma":[0.9926747,0.0003499696,0.0068017426,0.00005654085,0.00005893307,0.0000046055293,9.947544e-7,0.0000054980724,0.000046994435],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99890083,0.00020397227,0.00030866725,0.00016559983,0.00028911597,0.00013179817],"domain_scores_gemma":[0.9985906,0.0009210521,0.00015964224,0.00013600574,0.0001339273,0.000058797545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010612113,0.00008180292,0.00020848722,0.00006341661,0.000114157054,0.000018947445,0.0001451393,0.000088734596,0.00014983966],"category_scores_gemma":[0.00058146275,0.00007587759,0.000076892524,0.00016753381,0.00032718354,0.0011606239,0.0000024617361,0.00008925742,0.0000023989369],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007831717,0.0011811695,0.014988206,0.00027594218,0.00021217325,0.0000047525405,0.055199746,0.00006939011,0.14678007,0.01636783,0.00011325299,0.7640243],"study_design_scores_gemma":[0.00093554484,0.00015385158,0.2219833,0.0003873217,0.0014837531,0.0000032333626,0.029763326,0.00016537152,0.64676493,0.0018698294,0.095806785,0.00068272225],"about_ca_topic_score_codex":0.0027577865,"about_ca_topic_score_gemma":0.005355004,"teacher_disagreement_score":0.76334155,"about_ca_system_score_codex":0.00001527849,"about_ca_system_score_gemma":0.0000720697,"threshold_uncertainty_score":0.41689667},"labels":[],"label_agreement":null},{"id":"W1584522080","doi":"10.1080/01944363.2010.484765","title":"A Review of “Pedaling Revolution: How Cyclists are Changing American Cities”","year":2010,"lang":"en","type":"review","venue":"Journal of the American Planning Association","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Recreation; Geography; Political science; Law","score_opus":0.041494284384628974,"score_gpt":0.37249508739943565,"score_spread":0.33100080301480667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1584522080","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0022224893,0.9939601,0.00004386537,0.0021028565,0.00093629555,0.00030936743,0.00004607276,0.000020515201,0.00035845445],"genre_scores_gemma":[0.002596046,0.994861,0.0002499307,0.000343141,0.0014104135,0.0000066567814,0.000008923798,0.000026148662,0.0004977541],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9962011,0.0010561324,0.0010611658,0.00019881704,0.0010699142,0.00041288804],"domain_scores_gemma":[0.9782065,0.0006529995,0.020174073,0.00028664173,0.0005733839,0.000106362044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00465921,0.00025639872,0.0023077077,0.00025995154,0.00041957307,0.00007637396,0.0008856906,0.00013795288,0.00001009286],"category_scores_gemma":[0.0032355315,0.00018205613,0.001176378,0.0018951158,0.00039306039,0.00025169252,0.000049792263,0.0011770224,0.000001256275],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018801382,0.00010506355,0.14386465,0.025635155,0.0006530369,0.000016326401,0.0041114367,0.000004266177,0.0000025419683,0.00003284656,0.0146372905,0.81091857],"study_design_scores_gemma":[0.000054138265,0.00002969999,0.0065026483,0.094673336,0.0010532811,0.00000435967,0.0012881549,9.554202e-7,3.4442186e-7,0.000023563189,0.8961595,0.00020996283],"about_ca_topic_score_codex":0.0003187871,"about_ca_topic_score_gemma":0.000083854604,"teacher_disagreement_score":0.88152224,"about_ca_system_score_codex":0.0009955233,"about_ca_system_score_gemma":0.00078744814,"threshold_uncertainty_score":0.7424034},"labels":[],"label_agreement":null},{"id":"W1584829558","doi":"10.1111/josh.12273","title":"Association Between School Policies and Built Environment, and Youth's Participation in Various Types of Physical Activities","year":2015,"lang":"en","type":"article","venue":"Journal of School Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vitalité Health Network; Université de Sherbrooke","funders":"Social Sciences and Humanities Research Council","keywords":"Odds ratio; Odds; Confidence interval; Logistic regression; Psychology; Physical activity; Educational attainment; Demography; Environmental health; Gerontology; Medicine; Physical therapy; Sociology; Political science","score_opus":0.06585787678108579,"score_gpt":0.3748278589395222,"score_spread":0.3089699821584364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1584829558","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974002,0.00046498806,0.00004520545,0.0017599062,0.00003597185,0.0000823845,0.000012526526,0.0000034663271,0.00019532342],"genre_scores_gemma":[0.99927706,0.00024498935,0.00009978767,0.000046955138,0.00028081072,6.333351e-7,0.0000012920469,0.000003121139,0.00004537191],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99892074,0.00019041712,0.00031407524,0.00006827601,0.00034638136,0.00016008267],"domain_scores_gemma":[0.99908155,0.000093341994,0.00046540942,0.00004154454,0.000046304856,0.00027184092],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015155028,0.00005289344,0.00024258677,0.000078081684,0.0000781095,0.000032127162,0.00005713609,0.000051807707,0.000007169267],"category_scores_gemma":[0.0002764587,0.00004597025,0.000024144994,0.00009021304,0.0000782713,0.00048674826,0.000010603065,0.0001898935,7.729e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021536593,0.000044297143,0.9808446,0.000013740977,0.00001405664,2.1345224e-7,0.017464973,0.0000075273815,0.000014590616,0.000056862802,0.00005395763,0.0014636451],"study_design_scores_gemma":[0.00036029587,0.0001681442,0.9927594,0.000033277225,0.000027387221,8.571718e-8,0.004405053,0.000006408169,0.000044728895,0.0020072642,0.00014778617,0.000040148287],"about_ca_topic_score_codex":0.0053755445,"about_ca_topic_score_gemma":0.0013225926,"teacher_disagreement_score":0.01305992,"about_ca_system_score_codex":0.00031128968,"about_ca_system_score_gemma":0.00044101963,"threshold_uncertainty_score":0.81262517},"labels":[],"label_agreement":null},{"id":"W1586397759","doi":"","title":"Using GIS and spatial statistics to explore and model demand for emergency medical services in the city of Sudbury, Ontario","year":2004,"lang":"en","type":"article","venue":"Scholars Commons (Wilfrid Laurier University)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geography; Data science; Geographic information system; Statistics; Computer science; Environmental planning; Environmental resource management; Remote sensing; Environmental science; Mathematics","score_opus":0.05671956039158087,"score_gpt":0.2992999852623578,"score_spread":0.2425804248707769,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1586397759","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.976276,0.000053426396,0.022115119,0.00047889762,0.0000559297,0.00031072187,0.000080348895,0.000009656752,0.0006199388],"genre_scores_gemma":[0.9964584,0.00003290564,0.0033236882,0.000053183783,0.000018692546,9.0471275e-7,0.00001005585,0.000004689077,0.000097483666],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989829,0.00009057999,0.00017342722,0.00021897005,0.0003189814,0.00021515189],"domain_scores_gemma":[0.9994651,0.00006286457,0.00006410787,0.00014965709,0.000089469126,0.00016878902],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063413597,0.00009869743,0.00017270882,0.0001260141,0.00048644198,0.000037625166,0.00036801316,0.00010236284,0.00004710193],"category_scores_gemma":[0.0000451377,0.00009186346,0.000033692202,0.0003075632,0.00023285906,0.0004187432,0.000079445526,0.00021296454,1.3805843e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000088120134,0.0001007131,0.9542087,0.000038608672,0.000016429078,0.000018121547,0.03807156,0.0001404961,0.000017408236,0.0068015964,0.000015402917,0.00048289372],"study_design_scores_gemma":[0.0025372023,0.00014637117,0.93468845,0.00016122757,0.00021550574,0.0000011929004,0.021622024,0.0013985,0.00007916403,0.031138152,0.00754313,0.0004690617],"about_ca_topic_score_codex":0.17495866,"about_ca_topic_score_gemma":0.9250567,"teacher_disagreement_score":0.75009805,"about_ca_system_score_codex":0.000106250845,"about_ca_system_score_gemma":0.0003924484,"threshold_uncertainty_score":0.83053535},"labels":[],"label_agreement":null},{"id":"W1588912559","doi":"","title":"Exploring and Modeling the Level of Service of Public Transit in Urban Areas: An Application to the Greater Toronto and Hamilton Area (GTHA), Canada","year":2010,"lang":"en","type":"dissertation","venue":"MacSphere (McMaster University)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Public transport; Ordinary least squares; Metropolitan area; Transport engineering; Transit (satellite); Geography; Population; Service (business); Regression analysis; Business; Econometrics; Engineering; Statistics; Economics; Demography; Mathematics","score_opus":0.09379031958454859,"score_gpt":0.24577000368471075,"score_spread":0.15197968410016216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1588912559","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9823968,0.000098250224,0.00033197476,0.00032195405,0.0000783019,0.000423669,0.00005034881,0.00000871829,0.01628999],"genre_scores_gemma":[0.9944005,0.00004251512,0.000033840708,0.00004146836,0.00003267519,0.000005115486,0.000045097397,0.000010451684,0.005388315],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99896294,0.00009360876,0.0001942466,0.0002992563,0.00026058118,0.00018936602],"domain_scores_gemma":[0.99935585,0.000031950316,0.000116037394,0.00023378662,0.00016336839,0.00009901991],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000260527,0.00014828447,0.00021121443,0.000044319688,0.00021902627,0.000038529466,0.00043731654,0.00012453167,0.0005029683],"category_scores_gemma":[0.0000056902772,0.00011631456,0.000028717424,0.00031864966,0.000057292447,0.0005786523,0.000018407485,0.00017565937,9.509074e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005000084,0.00013650589,0.27017748,0.000655755,0.00012885788,0.000008789389,0.38642958,0.0005408538,0.0010390406,0.0019772537,0.000027672822,0.3383782],"study_design_scores_gemma":[0.00085724035,0.000060002152,0.5381458,0.00028427428,0.0002468673,3.3883325e-7,0.4211281,0.0033560102,0.00045779467,0.00013104992,0.034674212,0.0006583219],"about_ca_topic_score_codex":0.88145065,"about_ca_topic_score_gemma":0.9994214,"teacher_disagreement_score":0.3377199,"about_ca_system_score_codex":0.00012411863,"about_ca_system_score_gemma":0.00026630948,"threshold_uncertainty_score":0.5507151},"labels":[],"label_agreement":null},{"id":"W1589761090","doi":"10.1007/bf03403838","title":"Examining Aspects of the Built Environment: An Evaluation of a Community Walking Map Project","year":2012,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Regional Municipality of Ottawa; University of Alberta","funders":"Canadian Institutes of Health Research","keywords":"Destinations; Psychological intervention; Physical activity; General partnership; Road map; Geography; Built environment; Psychology; Applied psychology; Physical medicine and rehabilitation; Cartography; Medicine; Business; Engineering","score_opus":0.29525824816693624,"score_gpt":0.386741397233,"score_spread":0.09148314906606375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1589761090","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99404234,0.0008307213,0.00004732268,0.0018248821,0.00028843552,0.00021412686,0.000011175629,0.0000018793395,0.0027391377],"genre_scores_gemma":[0.99958545,0.000009158379,0.000086564185,0.00013242483,0.00016435192,0.000001257268,0.0000023241298,0.0000050427648,0.000013439518],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.995738,0.0027514547,0.00044972159,0.000044564986,0.00059931644,0.00041692177],"domain_scores_gemma":[0.99810636,0.00009059121,0.00066211785,0.00023190539,0.00021480011,0.0006942379],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.024391472,0.00005807813,0.00018165814,0.00015613384,0.0005733362,0.000028593533,0.00046976816,0.000052907624,0.00020657937],"category_scores_gemma":[0.00062075583,0.0000451603,0.000053639415,0.000262425,0.00030810482,0.0006651144,0.000008566582,0.00031627645,3.8432913e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000011037149,0.000074367745,0.8483585,0.000033721382,0.000014263795,1.8208385e-7,0.10697241,0.0000037031464,0.000016392996,0.0011679985,0.000113088776,0.043244272],"study_design_scores_gemma":[0.00018071882,0.00007644463,0.96457726,0.000042859905,0.000017307075,9.719661e-7,0.028266665,0.0000072022526,0.000022475426,0.0007314249,0.0060330755,0.00004357213],"about_ca_topic_score_codex":0.22546561,"about_ca_topic_score_gemma":0.4844599,"teacher_disagreement_score":0.2589943,"about_ca_system_score_codex":0.0007286627,"about_ca_system_score_gemma":0.012107632,"threshold_uncertainty_score":0.9934928},"labels":[],"label_agreement":null},{"id":"W159007976","doi":"","title":"HOW TO REDUCE THE NUMBER OF SHORT TRIPS BY CAR","year":2000,"lang":"en","type":"article","venue":"UCL Discovery (University College London)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"TRIPS architecture; Transport engineering; Public transport; Work (physics); Quarter (Canadian coin); Journey to work; Government (linguistics); Kilometer; Travel behavior; General partnership; Mode choice; Engineering; Geography; Business; Finance","score_opus":0.012026168864523039,"score_gpt":0.2388447223873921,"score_spread":0.22681855352286906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W159007976","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93651164,0.000047397334,0.00009391165,0.0048869355,0.00012683884,0.0003816668,0.0006808593,0.000039047332,0.057231735],"genre_scores_gemma":[0.77167124,0.000042659933,0.00005089268,0.00010807253,0.000059733044,7.844391e-7,0.0000125600445,0.0000062401455,0.22804785],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.998659,0.00015088511,0.00011421051,0.00031955057,0.000431392,0.0003249644],"domain_scores_gemma":[0.9993164,0.000082147344,0.000044041175,0.00033741668,0.0000700339,0.00014994317],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002776734,0.00012809402,0.00022429961,0.000043116594,0.0007099806,0.00006948271,0.0007277327,0.00009935019,0.0011570137],"category_scores_gemma":[0.000020971267,0.0001156466,0.00017177727,0.0009147886,0.00041114117,0.0012797436,0.000041461386,0.00013867303,0.000040321884],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024152664,0.0012358314,0.52382743,0.0000870613,0.0003602719,0.00022993481,0.030606983,0.00004340915,0.002932244,0.076320074,0.3446227,0.017318765],"study_design_scores_gemma":[0.0008779156,0.00005536886,0.10719005,0.000032913827,0.00014258904,0.0000012255059,0.03057316,0.000017144543,0.00085759617,0.0005135306,0.8592535,0.00048498058],"about_ca_topic_score_codex":0.0040692207,"about_ca_topic_score_gemma":0.0041085756,"teacher_disagreement_score":0.5146308,"about_ca_system_score_codex":0.0001392941,"about_ca_system_score_gemma":0.00020345795,"threshold_uncertainty_score":0.99975604},"labels":[],"label_agreement":null},{"id":"W1593983696","doi":"10.1016/j.aap.2014.03.010","title":"Pedestrian preferences with respect to roundabouts—A video-based stated preference survey","year":2014,"lang":"en","type":"article","venue":"Accident Analysis & Prevention","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Polytechnique Montréal; Concordia University","funders":"","keywords":"Roundabout; Pedestrian; Transport engineering; Context (archaeology); Preference; Poison control; Work (physics); Perception; Engineering; Computer science; Geography; Psychology","score_opus":0.05938246760809829,"score_gpt":0.3378181548311515,"score_spread":0.27843568722305323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1593983696","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94521123,0.000033924433,0.051880993,0.00029542937,0.0000693204,0.0004811983,0.0000023803025,0.00013464966,0.001890856],"genre_scores_gemma":[0.9970004,0.0000136818735,0.0006175122,0.00006186799,0.00008218444,0.000051921383,0.00031877705,0.0000120608065,0.0018415719],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99609995,0.0013708448,0.0005215005,0.0006783921,0.00089171756,0.00043761134],"domain_scores_gemma":[0.99821454,0.00028369902,0.00032339187,0.0005192406,0.00040711137,0.00025202267],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0036467,0.0002154585,0.00043440025,0.0004091552,0.0005339385,0.00046805386,0.00060103205,0.00010783971,0.001178381],"category_scores_gemma":[0.0003954106,0.00017999456,0.00022563296,0.0031431138,0.000113194306,0.00065930514,0.000028084725,0.00014726985,0.000052809308],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017366456,0.000117809665,0.99433243,0.0000024973187,0.00023476982,6.82454e-7,0.0006763978,0.00051093526,0.000015107121,0.00010492672,0.000087866945,0.0037428942],"study_design_scores_gemma":[0.0003632982,0.00016471828,0.99563456,0.00003614013,0.00071743235,1.6058868e-8,0.0002080476,0.00021348459,0.00015163561,0.0013487744,0.0008990504,0.00026282412],"about_ca_topic_score_codex":0.040706865,"about_ca_topic_score_gemma":0.8516651,"teacher_disagreement_score":0.8109582,"about_ca_system_score_codex":0.0001381745,"about_ca_system_score_gemma":0.00031887105,"threshold_uncertainty_score":0.9997347},"labels":[],"label_agreement":null},{"id":"W1595121043","doi":"10.1108/14635780510575085","title":"Modelling accessibility to urban services using fuzzy logic","year":2005,"lang":"en","type":"article","venue":"Journal of Property Investment and Finance","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":68,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"","keywords":"TRIPS architecture; Fuzzy logic; Index (typography); Originality; Value (mathematics); Order (exchange); Economic rent; Business; Marketing; Transport engineering; Computer science; Public economics; Economics; Microeconomics; Psychology; Engineering; Social psychology","score_opus":0.06456493546219783,"score_gpt":0.30775924855636283,"score_spread":0.243194313094165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1595121043","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9910702,0.002102769,0.00090246095,0.001818749,0.00014467238,0.00019529361,0.0000021265814,0.000011402693,0.00375234],"genre_scores_gemma":[0.98188686,0.0003265149,0.0149759585,0.0014031482,0.0005007743,0.0000018605136,3.7373601e-7,0.000006167588,0.0008983255],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987241,0.00006435263,0.00044598055,0.00019490934,0.0003171592,0.00025351509],"domain_scores_gemma":[0.9992765,0.000015156082,0.00027175594,0.00012492048,0.00017954435,0.0001321313],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087082316,0.00011793241,0.00023913226,0.0000629028,0.0003411764,0.00011689168,0.00030562884,0.00007173225,0.000020255327],"category_scores_gemma":[0.000015426715,0.00007108105,0.00007093337,0.00021019952,0.000136353,0.0010341278,0.000031950112,0.00015658105,0.000003359528],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008477229,0.0017417268,0.76448005,0.00042719432,0.00014613371,0.0000807067,0.09461474,0.059260555,0.0027560678,0.023323083,0.0021924374,0.050129604],"study_design_scores_gemma":[0.0029538919,0.00092844607,0.07662546,0.0012894825,0.00031581445,0.000017108574,0.004675471,0.08072212,0.0025559089,0.061077133,0.76712096,0.0017182246],"about_ca_topic_score_codex":0.00055879465,"about_ca_topic_score_gemma":0.00028272104,"teacher_disagreement_score":0.7649285,"about_ca_system_score_codex":0.00011725344,"about_ca_system_score_gemma":0.00016106096,"threshold_uncertainty_score":0.2898601},"labels":[],"label_agreement":null},{"id":"W1597091700","doi":"","title":"Car Driving and Public Transit Use in Canadian Metropolitan Areas: Focus on Elderly and Role of Health and Social Network Factors","year":2009,"lang":"en","type":"article","venue":"Social and Economic Dimensions of an Aging Population Research Papers","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Public transport; Metropolitan area; Business; Public health; Mode choice; Transport engineering; Environmental health; Demographic economics; Geography; Medicine; Economics; Engineering","score_opus":0.059207940174966,"score_gpt":0.34740891275624175,"score_spread":0.28820097258127575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1597091700","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99634945,0.00017226042,1.4157031e-7,0.0028537044,0.00001955723,0.00017855516,0.000016731,0.000008200721,0.00040142328],"genre_scores_gemma":[0.9997688,0.00008628018,0.000026081603,0.000039629987,0.00004296131,0.0000012289754,0.000018292563,0.000005154372,0.000011596339],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99867034,0.00027421213,0.00025035522,0.00023436164,0.00013123632,0.00043947477],"domain_scores_gemma":[0.9994483,0.0000978488,0.000073318726,0.000053187552,0.000030392503,0.00029696093],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010500695,0.000081306425,0.00024277788,0.00022063745,0.0011096784,0.0000853267,0.00005586837,0.00008442594,0.000007955065],"category_scores_gemma":[0.0000421999,0.00007831256,0.000026027323,0.0001334021,0.00034956902,0.00037027572,0.000009858378,0.0001421127,4.9842157e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009782116,0.000016911505,0.9589263,0.000007778138,0.000008077553,2.8570585e-7,0.01090026,0.0000041545736,0.000018571396,0.013922882,0.0000074603345,0.016177533],"study_design_scores_gemma":[0.00017950647,0.00008785635,0.9705913,0.000018660816,0.0000035062226,4.4706688e-8,0.021781456,0.000050551625,0.000001863255,0.0070612268,0.00014819813,0.00007582837],"about_ca_topic_score_codex":0.71167827,"about_ca_topic_score_gemma":0.87169397,"teacher_disagreement_score":0.16001573,"about_ca_system_score_codex":0.00023759296,"about_ca_system_score_gemma":0.000245705,"threshold_uncertainty_score":0.8534861},"labels":[],"label_agreement":null},{"id":"W1598785054","doi":"","title":"Access to Destinations: How Close Is Close Enough? Estimating Accurate Distance Decay Functions for Multiple Modes and Different Purposes","year":2008,"lang":"en","type":"article","venue":"University of Minnesota Digital Conservancy (University of Minnesota)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":125,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Destinations; Distance decay; Mile; Transport engineering; Urban sprawl; Quarter (Canadian coin); Travel behavior; Travel survey; Last mile (transportation); Business; Geography; Land use; Marketing; Computer science; Tourism; Engineering; Economic geography","score_opus":0.043858430781524536,"score_gpt":0.2529502151488395,"score_spread":0.20909178436731493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1598785054","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96558607,0.00017099033,0.026208583,0.004146901,0.00008262882,0.00081369077,0.0012641823,0.00008487618,0.0016421083],"genre_scores_gemma":[0.9900384,0.00016007484,0.0060263295,0.00003187539,0.00003179867,6.817525e-7,0.00007861413,0.000014045449,0.0036182054],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983474,0.00006690185,0.0002035259,0.0005925985,0.00037838766,0.00041116288],"domain_scores_gemma":[0.9977269,0.0006373855,0.00034797698,0.00034275133,0.0006449997,0.0002999729],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.00016381642,0.00025850305,0.0004868892,0.00022834355,0.0016770231,0.000089934445,0.00079303834,0.00014836459,0.00006831962],"category_scores_gemma":[0.00026006147,0.0003342992,0.00022865694,0.0005431583,0.001250801,0.00317773,0.00023337238,0.00011918162,0.0000042363527],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00118793,0.0010611361,0.9394211,0.0005005124,0.00023571108,0.0000948717,0.030492099,0.00009396091,0.0005857805,0.0038737839,0.009328537,0.013124579],"study_design_scores_gemma":[0.008063332,0.0007423737,0.70060927,0.000823741,0.0007071906,0.000013392483,0.11544649,0.006208552,0.0011125065,0.0025176906,0.16153431,0.0022211464],"about_ca_topic_score_codex":0.0015836632,"about_ca_topic_score_gemma":0.0143815,"teacher_disagreement_score":0.23881184,"about_ca_system_score_codex":0.000114689195,"about_ca_system_score_gemma":0.00023397015,"threshold_uncertainty_score":0.9999109},"labels":[],"label_agreement":null},{"id":"W1600117701","doi":"10.7202/017628ar","title":"Impacts de la restructuration du réseau d’autobus de la ville de Québec sur l’accessibilité aux emplois des femmes et sur leur mobilité professionnelle","year":2008,"lang":"fr","type":"article","venue":"Cahiers de géographie du Québec","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"Ministère des Transports","keywords":"Political science; Humanities; Art","score_opus":0.02139087444700275,"score_gpt":0.2828521000089264,"score_spread":0.26146122556192364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1600117701","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9763684,0.01044159,0.000513008,0.008035711,0.00050537335,0.0007574294,0.00005297331,0.0004218373,0.0029036514],"genre_scores_gemma":[0.9890938,0.003374291,0.0008741465,0.00097154535,0.00056706264,0.0001396247,0.000032419117,0.00012083446,0.004826269],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99126595,0.0039936095,0.0010393854,0.0011082377,0.0006978928,0.0018949094],"domain_scores_gemma":[0.99374616,0.0032665257,0.00050876214,0.0008159434,0.00046431425,0.0011982888],"candidate_categories":["metaepi_narrow","sts","research_integrity"],"consensus_categories":["sts"],"category_scores_codex":[0.0048323837,0.0007658654,0.0008022572,0.0004193815,0.0030181932,0.0003571705,0.0011398627,0.0014861968,0.00046796523],"category_scores_gemma":[0.0034218833,0.0007442859,0.0007649588,0.002283791,0.022478784,0.0017342205,0.00010605166,0.0016303376,0.000018158991],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024474825,0.0006685035,0.8983096,0.00030986866,0.00013859333,0.0002915148,0.08766987,0.00020855496,0.0011087884,0.0031561137,0.004194246,0.0036996189],"study_design_scores_gemma":[0.0013170101,0.00014276028,0.9648356,0.00025117613,0.00022153278,0.00012146689,0.007294636,0.00025551024,0.00082637987,0.011657782,0.012240487,0.0008356716],"about_ca_topic_score_codex":0.8719304,"about_ca_topic_score_gemma":0.91024935,"teacher_disagreement_score":0.08037523,"about_ca_system_score_codex":0.0034252158,"about_ca_system_score_gemma":0.02195522,"threshold_uncertainty_score":0.9998101},"labels":[],"label_agreement":null},{"id":"W1603120234","doi":"","title":"Economics of Accessible Transportation in Canada","year":2010,"lang":"en","type":"article","venue":"TRANSED 2010: 12th International Conference on Mobility and Transport for Elderly and Disabled PersonsHong Kong Society for RehabilitationS K Yee Medical FoundationTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"TRIPS architecture; Revenue; Tourism; Business; Service (business); Travel behavior; Service provider; Public transport; Transport engineering; Marketing; Public economics; Economics; Finance; Geography; Engineering","score_opus":0.06407319355445854,"score_gpt":0.3803685607819197,"score_spread":0.3162953672274612,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1603120234","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9815406,0.000040874067,0.0039006127,0.010140278,0.0005679405,0.0021031243,0.0010990937,0.000033426164,0.0005740337],"genre_scores_gemma":[0.99479944,0.00043099053,0.0027090912,0.00008768262,0.00009461385,0.0007167671,0.0009545318,0.000022928589,0.00018393208],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99659216,0.00009310845,0.0010250541,0.00075125985,0.0009897399,0.00054865895],"domain_scores_gemma":[0.9961937,0.0019832822,0.00016744617,0.00024246184,0.0010156361,0.00039748824],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002671461,0.0002534217,0.00045010587,0.00018243745,0.00074518943,0.00008500516,0.0004222584,0.00033856914,0.0009325848],"category_scores_gemma":[0.00039867082,0.00026506386,0.00030978318,0.00036857618,0.0015465667,0.0007288764,0.000002562022,0.0006828214,4.5245244e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013194002,0.00084432104,0.7284599,0.0009723767,0.00019154383,0.0000018308347,0.020650685,0.00015857576,0.00066699146,0.2297142,0.00011837152,0.016901826],"study_design_scores_gemma":[0.004333286,0.00035171636,0.9254703,0.0002017308,0.000097577446,1.7196635e-7,0.021033764,0.0028940188,0.00016187031,0.041388217,0.0036186976,0.00044867155],"about_ca_topic_score_codex":0.32622743,"about_ca_topic_score_gemma":0.9754998,"teacher_disagreement_score":0.64927244,"about_ca_system_score_codex":0.0002003821,"about_ca_system_score_gemma":0.0037445968,"threshold_uncertainty_score":0.9999807},"labels":[],"label_agreement":null},{"id":"W1603613306","doi":"10.1007/bf03405633","title":"Classifying neighbourhoods by level of access to stores selling fresh fruit and vegetables and groceries: identifying problematic areas in the city of Gatineau, Quebec.","year":2012,"lang":"en","type":"article","venue":"PubMed","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Geography; Census; Population; Food security; Social deprivation; Socioeconomics; Food insecurity; Business; Environmental health; Economic growth; Medicine; Agriculture; Sociology; Economics","score_opus":0.18427725772550968,"score_gpt":0.3337677801656363,"score_spread":0.14949052244012662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1603613306","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99577475,0.001389549,0.00049111125,0.00041779774,0.00006614887,0.00080788066,0.000024066254,0.000011843024,0.0010168521],"genre_scores_gemma":[0.99934715,0.000066466295,0.00017352986,0.00005705393,0.00005559006,0.00019944194,0.0000027362296,0.000006869355,0.0000911811],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99858934,0.00013788312,0.00037034033,0.00017798552,0.00033726566,0.00038718883],"domain_scores_gemma":[0.9992357,0.00025948364,0.00019489166,0.00013202179,0.0000540172,0.0001239013],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019550486,0.00010723708,0.00025771797,0.00007308106,0.00018728738,0.0001451897,0.00031926093,0.00006742969,0.000018641898],"category_scores_gemma":[0.00025349832,0.000081271,0.000030059862,0.00037652755,0.00026838153,0.0010199856,0.000054127733,0.000104844185,1.0389489e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001260445,0.00006159279,0.97085345,0.00035922482,0.000011691339,1.7450868e-7,0.024192307,0.0000013626627,0.000084589476,0.00039818804,0.000077679586,0.003947151],"study_design_scores_gemma":[0.00015336827,0.0000033871108,0.9920996,0.000073564355,0.000024842608,1.1731965e-7,0.0047513386,0.0000058610667,0.0008163876,0.0018743397,0.0001032356,0.00009399092],"about_ca_topic_score_codex":0.032248065,"about_ca_topic_score_gemma":0.077324435,"teacher_disagreement_score":0.045076374,"about_ca_system_score_codex":0.000033960274,"about_ca_system_score_gemma":0.000038185863,"threshold_uncertainty_score":0.97419626},"labels":[],"label_agreement":null},{"id":"W1603695015","doi":"","title":"Considering User Needs Versus Environmental Constraints to Favour Intermodality","year":2010,"lang":"en","type":"article","venue":"TRANSED 2010: 12th International Conference on Mobility and Transport for Elderly and Disabled PersonsHong Kong Society for RehabilitationS K Yee Medical FoundationTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Public transport; Context (archaeology); Business; Action plan; Transit (satellite); Transport engineering; Plan (archaeology); Paratransit; Engineering; Geography; Economics","score_opus":0.08190011945302275,"score_gpt":0.39981369866554783,"score_spread":0.31791357921252505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1603695015","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9500753,0.00002192779,0.025395375,0.018466912,0.00086691626,0.0029189023,0.0011157421,0.00010651772,0.001032397],"genre_scores_gemma":[0.991957,0.00011457813,0.005294021,0.00020237583,0.00019059113,0.0010167435,0.00069919846,0.000030012825,0.0004954854],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9960596,0.00013377483,0.0008032343,0.00089842366,0.0014004492,0.00070450536],"domain_scores_gemma":[0.9955888,0.0025762205,0.000105245,0.00027610903,0.0006502659,0.0008034077],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.0033117675,0.0003272393,0.00041414966,0.0002161839,0.0017458709,0.0002420328,0.00045474828,0.00044809614,0.002649079],"category_scores_gemma":[0.0008510385,0.00033755877,0.00045569031,0.00032296174,0.0037089842,0.00070229016,0.000009351117,0.00085976656,0.000005945964],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006513329,0.0025944111,0.3416764,0.00090434024,0.0009062757,0.0000061560213,0.10702532,0.00005010659,0.00751022,0.4686459,0.0006307216,0.0635368],"study_design_scores_gemma":[0.016556382,0.0023668446,0.790221,0.00043850628,0.0004209971,0.0000015528665,0.1073998,0.0022038962,0.0004227855,0.04598537,0.03234638,0.0016365128],"about_ca_topic_score_codex":0.0011364574,"about_ca_topic_score_gemma":0.023731027,"teacher_disagreement_score":0.44854456,"about_ca_system_score_codex":0.0001403312,"about_ca_system_score_gemma":0.0007752022,"threshold_uncertainty_score":0.9999077},"labels":[],"label_agreement":null},{"id":"W1604506016","doi":"","title":"Independent Mobility for Older People","year":2004,"lang":"en","type":"article","venue":"10th International Conference on Mobility and Transport for Elderly and Disabled PeopleJapan Society of Civil EngineersTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Older people; Independence (probability theory); Public transport; Pedestrian; Quarter (Canadian coin); Geography; Foot (prosody); Gerontology; Transport engineering; Engineering; Medicine","score_opus":0.05328629660811217,"score_gpt":0.3587734775595408,"score_spread":0.3054871809514286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1604506016","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9625964,0.000081783546,0.028801728,0.0035924318,0.00019715409,0.002206917,0.0009366383,0.00007769871,0.0015092038],"genre_scores_gemma":[0.9967248,0.0004991545,0.0013872207,0.00005111371,0.00009109504,0.00043608915,0.0004989096,0.00002028142,0.00029135574],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99701375,0.00004987819,0.000642697,0.0007400061,0.0009888923,0.00056478044],"domain_scores_gemma":[0.99782723,0.0004473995,0.00013038266,0.00024270902,0.0010423299,0.0003099671],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0021069977,0.0002595177,0.0004355824,0.000111365436,0.00062086224,0.00008305057,0.000344217,0.0002991813,0.0003033012],"category_scores_gemma":[0.00007889339,0.00026561608,0.00035639075,0.00028674435,0.0008626941,0.0005137984,0.000007173395,0.00037116444,8.938777e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024305538,0.0030268356,0.39725292,0.0035491,0.00056452956,0.0000020218038,0.108684115,0.0018469733,0.0009854865,0.47645628,0.00026514346,0.004936042],"study_design_scores_gemma":[0.0066832956,0.00094121223,0.86906177,0.00030405383,0.00013242777,2.9109594e-7,0.034017768,0.001017889,0.0006054716,0.084128305,0.0024693536,0.00063819723],"about_ca_topic_score_codex":0.0040990165,"about_ca_topic_score_gemma":0.05897369,"teacher_disagreement_score":0.47180882,"about_ca_system_score_codex":0.00012146735,"about_ca_system_score_gemma":0.0005284009,"threshold_uncertainty_score":0.9999796},"labels":[],"label_agreement":null},{"id":"W1608477950","doi":"","title":"Moving beyond the individual : activity-based modeling of time use and travel behavior incorporating intra-household interactions","year":2008,"lang":"en","type":"dissertation","venue":"MacSphere (McMaster University)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Travel behavior; Computer science; Econometrics; Psychology; Transport engineering; Engineering; Economics","score_opus":0.04459736312549513,"score_gpt":0.2495250895455015,"score_spread":0.2049277264200064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1608477950","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95375425,0.00002919202,0.0005500512,0.00004514485,0.00018785491,0.00043747574,0.000109908906,0.00006019238,0.044825938],"genre_scores_gemma":[0.951805,0.000016059868,0.00032718296,0.000024290104,0.00006674797,0.0000025454046,0.00017043317,0.000028660337,0.047559112],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99848324,0.00020131112,0.000259262,0.0003962196,0.00040251834,0.00025742382],"domain_scores_gemma":[0.99898,0.00018241555,0.0003809715,0.00020765723,0.00014229603,0.000106703344],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00020304752,0.0002500936,0.000326717,0.00018658387,0.00087311,0.00014441907,0.00042993165,0.00025757623,0.0020639824],"category_scores_gemma":[0.000028242886,0.0002460749,0.00015004545,0.0005030524,0.00026478444,0.00096305815,0.000038700044,0.00054275483,0.000002314207],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017042471,0.001930914,0.5258461,0.0007608131,0.0008075399,0.00038524304,0.113294445,0.007309155,0.009465637,0.0016046502,0.00042972146,0.33646154],"study_design_scores_gemma":[0.008335239,0.0006329386,0.5699174,0.00261123,0.008363227,0.000009646746,0.30396947,0.070568606,0.007455466,0.001030709,0.020358855,0.00674724],"about_ca_topic_score_codex":0.00605451,"about_ca_topic_score_gemma":0.034213305,"teacher_disagreement_score":0.3297143,"about_ca_system_score_codex":0.000117454445,"about_ca_system_score_gemma":0.0004024374,"threshold_uncertainty_score":0.99999917},"labels":[],"label_agreement":null},{"id":"W1608823742","doi":"","title":"Cycling Trends and Policies in Canadian Cities","year":2005,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Urban sprawl; Metropolitan area; TRIPS architecture; Transport engineering; Geography; Cycling; SAFER; Work (physics); Public transport; Journey to work; Travel behavior; Land use; Engineering; Civil engineering","score_opus":0.022536886454876025,"score_gpt":0.3106445513218503,"score_spread":0.2881076648669743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1608823742","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.71234995,0.000087197644,5.460749e-7,0.005501996,0.000018723993,0.00001292515,0.0000015821482,0.000014583945,0.28201252],"genre_scores_gemma":[0.9903791,0.00001933093,0.00007172048,0.0003340007,0.00010799464,0.0000011024898,9.861344e-7,0.0000015498186,0.009084233],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995541,0.000012741871,0.00007344108,0.00007329372,0.00006029491,0.00022610473],"domain_scores_gemma":[0.9998097,0.000015314596,0.000007425967,0.00003645409,0.0000069391344,0.0001241657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019374209,0.000031614094,0.000050296498,0.00011586589,0.00015162332,0.000042507592,0.000058388516,0.00003310632,0.00063347496],"category_scores_gemma":[0.000010813885,0.000028779068,0.000011101809,0.00016281744,0.000121152996,0.00017874068,0.0000027527879,0.000036500434,0.0000032781081],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[4.038964e-7,0.0000029352345,0.9729248,6.8000713e-7,5.608616e-7,5.179087e-7,0.008360791,0.0000010940375,0.000002013052,0.006583417,0.00013628896,0.011986452],"study_design_scores_gemma":[0.000044978624,0.0000015456538,0.94968605,0.0000021322644,9.908109e-7,2.1773872e-8,0.0022742637,0.000015684192,0.000014026139,0.00044685806,0.047467824,0.00004565177],"about_ca_topic_score_codex":0.9683603,"about_ca_topic_score_gemma":0.9994501,"teacher_disagreement_score":0.27802914,"about_ca_system_score_codex":0.0000661155,"about_ca_system_score_gemma":0.000109580455,"threshold_uncertainty_score":0.69361067},"labels":[],"label_agreement":null},{"id":"W1614228475","doi":"","title":"Impacts of commuter rail transit on property values - The Montreal North Shore case","year":2012,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Real estate; Context (archaeology); Geography; Transit (satellite); Transport engineering; Neighbourhood (mathematics); Service (business); Port (circuit theory); Shore; Business; Public transport; Engineering; Finance; Marketing","score_opus":0.06243811004056855,"score_gpt":0.34682588848836277,"score_spread":0.2843877784477942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1614228475","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9373573,0.00016795067,8.587551e-7,0.0010973227,0.00024666014,0.0011217891,0.00015226996,0.000027206637,0.059828654],"genre_scores_gemma":[0.9964256,0.0021029916,0.000035041387,0.000059861042,0.00037882818,0.00008598048,0.000042510674,0.000030834162,0.0008383366],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9966785,0.0008404505,0.0006093862,0.0005586546,0.00044555904,0.00086746993],"domain_scores_gemma":[0.99754703,0.00074673956,0.00018453113,0.0010956895,0.00015012341,0.00027589247],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038397086,0.00026446945,0.0005193649,0.00016297288,0.00049741956,0.00013331205,0.0011015217,0.00038294517,0.00018926094],"category_scores_gemma":[0.00024288835,0.00016463868,0.00027030596,0.00015084626,0.0014130549,0.00019823619,0.00024414874,0.00169095,0.000004974771],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044063164,0.00076798635,0.68988514,0.00032065448,0.00019013391,0.00023034886,0.07100017,0.0012077024,0.000010471477,0.00015485584,0.00018163458,0.23561028],"study_design_scores_gemma":[0.0015198351,0.0002912222,0.9525103,0.00056322216,0.0001181151,0.00001426084,0.022240032,0.0012244188,0.00021097346,0.0037593546,0.016284548,0.001263741],"about_ca_topic_score_codex":0.036065906,"about_ca_topic_score_gemma":0.3050296,"teacher_disagreement_score":0.2689637,"about_ca_system_score_codex":0.00052157196,"about_ca_system_score_gemma":0.000835013,"threshold_uncertainty_score":0.970353},"labels":[],"label_agreement":null},{"id":"W1624075802","doi":"10.5198/jtlu.v6i1.291","title":"What is mixed use? Presenting an interaction method for measuring land use mix","year":2013,"lang":"en","type":"article","venue":"Journal of Transport and Land Use","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":208,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Land use; Measure (data warehouse); Land-use planning; Quality (philosophy); Computer science; Econometrics; Geography; Environmental resource management; Transport engineering; Data mining; Civil engineering; Mathematics; Environmental science; Engineering","score_opus":0.09281766342676105,"score_gpt":0.34915209308809636,"score_spread":0.2563344296613353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1624075802","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958079,0.00015919091,0.0025474,0.0005057288,0.0006740772,0.00025647008,0.000012535496,0.00001440723,0.00002229305],"genre_scores_gemma":[0.9936392,0.00040647664,0.004785461,0.00010124078,0.00037252068,0.0000038045678,0.000008992681,0.000013308599,0.0006690503],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986927,0.000094704934,0.00047073816,0.00018367197,0.00030507048,0.00025313703],"domain_scores_gemma":[0.99879074,0.00027622102,0.00028109495,0.00010908341,0.00031794983,0.00022493562],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091685896,0.00012717955,0.00028789626,0.00009564041,0.00027226153,0.00075950567,0.00013971499,0.00010907413,0.00013604616],"category_scores_gemma":[0.000051337604,0.00009592306,0.00017471616,0.000095154566,0.000052572326,0.009741524,0.0000037776074,0.00019938454,8.663733e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012438692,0.0000826103,0.98980546,0.000035647055,0.000058210877,0.000008336937,0.006465197,0.000013080308,0.00022061901,0.0000082876095,0.00014301909,0.0030351577],"study_design_scores_gemma":[0.0007229562,0.000059749545,0.9764355,0.00012298935,0.00015189407,0.000004107901,0.0013337021,0.00019624925,0.0003814193,0.00031308256,0.020123878,0.00015446334],"about_ca_topic_score_codex":0.0063538533,"about_ca_topic_score_gemma":0.010703401,"teacher_disagreement_score":0.019980859,"about_ca_system_score_codex":0.000022109332,"about_ca_system_score_gemma":0.00005412901,"threshold_uncertainty_score":0.96051675},"labels":[],"label_agreement":null},{"id":"W1628495786","doi":"10.3233/978-1-61499-203-5-93","title":"Methodological Approaches to Comparing Information about Bicycle Accidents Internationally: A Case Study Involving Canada and Germany","year":2013,"lang":"en","type":"article","venue":"Studies in health technology and informatics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Order (exchange); Occupational safety and health; Environmental health; Business; Human factors and ergonomics; Suicide prevention; Developed country; Injury prevention; Transport engineering; Medical emergency; Poison control; Geography; Medicine; Engineering; Finance","score_opus":0.34845383282714326,"score_gpt":0.4279628593187957,"score_spread":0.07950902649165242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1628495786","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99587685,0.00054482283,0.00018342951,0.0020321445,0.0001364548,0.00083400524,0.0000016696224,0.000065262,0.00032535876],"genre_scores_gemma":[0.9963753,0.00019642094,0.0026884074,0.0006118685,0.000011716287,0.00010467396,0.0000013120724,0.0000018159986,0.000008433522],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99867743,0.00009179183,0.00069704896,0.0000885489,0.00016852723,0.00027664597],"domain_scores_gemma":[0.9993359,0.00020104229,0.00019776699,0.00010299003,0.00008052152,0.000081789534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014080947,0.00009860085,0.00029358178,0.00027750502,0.00057413016,0.00004949903,0.00015091535,0.000077868324,0.0000032915723],"category_scores_gemma":[0.0005691153,0.00008370178,0.0000081873895,0.00041327634,0.00028003217,0.0008268375,0.0002056707,0.00022986514,0.0000014156551],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000030915025,0.000019891995,0.91090053,0.00014015062,0.000018927649,0.000005336933,0.07536654,0.00001098574,3.0370252e-8,0.0017770428,0.00010298272,0.011654486],"study_design_scores_gemma":[0.0002791026,0.00006837688,0.5734704,0.00006254017,0.000004477833,0.000012311997,0.422481,0.0009282169,8.0064603e-7,0.0020033855,0.0005760939,0.00011326676],"about_ca_topic_score_codex":0.37131736,"about_ca_topic_score_gemma":0.78804505,"teacher_disagreement_score":0.4167277,"about_ca_system_score_codex":0.00020108071,"about_ca_system_score_gemma":0.00015579876,"threshold_uncertainty_score":0.6328691},"labels":[],"label_agreement":null},{"id":"W1639325825","doi":"10.3917/flux.095.0041","title":"La mobilité comme variabilité temporelle de la présence spatiale","year":2014,"lang":"fr","type":"article","venue":"Flux","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministère des Transports","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.019437911271707565,"score_gpt":0.29850332395475215,"score_spread":0.2790654126830446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1639325825","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72897416,0.0007618419,0.002536389,0.002300335,0.0011979073,0.00027755692,0.000028638531,0.00010774222,0.26381546],"genre_scores_gemma":[0.9652122,0.0000333555,0.0013410586,0.00032945245,0.0007949677,0.00002573156,0.000014888751,0.000022478791,0.03222587],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9962634,0.0019101584,0.00040159444,0.00048895646,0.00035754492,0.0005783882],"domain_scores_gemma":[0.99692947,0.0020643475,0.00012422216,0.00052170694,0.000079269834,0.00028096742],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004247653,0.00022153773,0.00031737838,0.000031468124,0.0004029282,0.00011391647,0.00057500193,0.00045985752,0.0035777488],"category_scores_gemma":[0.0005926011,0.00022174373,0.00017158267,0.00038521184,0.002110558,0.00030547543,0.000063617445,0.00046937456,0.0003048964],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018130511,0.0006696792,0.9051568,0.00020471466,0.00002320023,0.000011934293,0.013445764,0.00004752309,0.0002006226,0.048991956,0.011872257,0.019357422],"study_design_scores_gemma":[0.0004058594,0.00008098495,0.24768612,0.00009966981,0.000062859224,0.0000021288474,0.0007554396,0.0011554739,0.00030922002,0.062290512,0.686808,0.0003437599],"about_ca_topic_score_codex":0.015154541,"about_ca_topic_score_gemma":0.0018727123,"teacher_disagreement_score":0.6749357,"about_ca_system_score_codex":0.00016976724,"about_ca_system_score_gemma":0.0003837671,"threshold_uncertainty_score":0.9973331},"labels":[],"label_agreement":null},{"id":"W1643668861","doi":"10.7202/029627ar","title":"Évolution démographique et demande énergétique : l’exemple de l’électricité au Québec","year":2009,"lang":"fr","type":"article","venue":"Cahiers québécois de démographie","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Hydro-Québec; Canadian Hydrographic Service","funders":"","keywords":"Political science; Humanities; Art","score_opus":0.011479805404962812,"score_gpt":0.2728933349435701,"score_spread":0.2614135295386073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1643668861","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91273665,0.035036806,0.006351504,0.023140354,0.00090603967,0.0006819757,0.00006394302,0.00044973896,0.020632982],"genre_scores_gemma":[0.97992665,0.0074119107,0.00085734896,0.0070033115,0.0010568214,0.00006393025,0.00004889733,0.00006545204,0.00356566],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99382657,0.001170118,0.0009112412,0.0010728276,0.0006875737,0.0023316643],"domain_scores_gemma":[0.99695367,0.00050633523,0.00043193751,0.0007191014,0.00025908177,0.0011298661],"candidate_categories":["metaepi_narrow","sts","research_integrity"],"consensus_categories":["sts"],"category_scores_codex":[0.0028023068,0.0007271161,0.000759006,0.00087455206,0.0016752742,0.00018743674,0.0010060909,0.0014317484,0.00018250656],"category_scores_gemma":[0.00041779818,0.0008148623,0.0011191346,0.005090425,0.0039346167,0.0009668253,0.000023686473,0.0015867045,0.000028175955],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001540205,0.00093914126,0.82543254,0.00012590767,0.00023290204,0.00014739177,0.03389831,0.00011994638,0.0007615476,0.09180205,0.009547296,0.036838945],"study_design_scores_gemma":[0.0008805834,0.00043832825,0.7989801,0.00019601517,0.0004514249,0.000021290978,0.0022285301,0.00015218642,0.0005261436,0.051736828,0.14320603,0.0011825177],"about_ca_topic_score_codex":0.8426714,"about_ca_topic_score_gemma":0.94819266,"teacher_disagreement_score":0.13365874,"about_ca_system_score_codex":0.0031712677,"about_ca_system_score_gemma":0.006755582,"threshold_uncertainty_score":0.9998646},"labels":[],"label_agreement":null},{"id":"W164453608","doi":"","title":"How Local Is Main Street? Analysis of Non-Work-Related Trips to Four Commercial Streets in Montréal","year":2009,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"TRIPS architecture; Destinations; Transport engineering; Work (physics); Pedestrian; Travel behavior; Sustainable transport; Geography; Trip generation; Service (business); Public transport; Business; Travel survey; Marketing; Sustainability; Engineering; Tourism","score_opus":0.020166882627300133,"score_gpt":0.2598041300123099,"score_spread":0.23963724738500977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W164453608","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9873474,0.00009578769,0.000009772735,0.00091186527,0.0001886164,0.0005890982,0.00062005315,0.000097211945,0.010140188],"genre_scores_gemma":[0.99823385,0.000034304427,0.00033266746,0.00055924064,0.00003110577,0.000015876527,0.000048766615,0.000027778631,0.0007164286],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9956448,0.00048443067,0.0009528273,0.00088802294,0.0010826982,0.0009472424],"domain_scores_gemma":[0.99802303,0.0002015018,0.00032454508,0.00066246657,0.00023263882,0.0005558029],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0018381091,0.00042056278,0.0009924417,0.0007951547,0.0007700406,0.00010035347,0.00093157386,0.00051946787,0.0002925766],"category_scores_gemma":[0.00032393247,0.00043721995,0.0005743409,0.0060571176,0.00024469284,0.0009231331,0.00007918014,0.0007742142,0.000022170203],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047098933,0.0010601301,0.21175893,0.000023091465,0.0006284632,0.00018020673,0.00042468894,0.0005852377,0.001442488,0.010701981,0.00004507581,0.77267873],"study_design_scores_gemma":[0.0016311298,0.00022818786,0.9802232,0.00010567972,0.0006751566,2.4918916e-7,0.0014227415,0.00016884106,0.0026285877,0.0047201496,0.0073928367,0.00080325],"about_ca_topic_score_codex":0.014497008,"about_ca_topic_score_gemma":0.20611367,"teacher_disagreement_score":0.77187544,"about_ca_system_score_codex":0.0006511332,"about_ca_system_score_gemma":0.00007678988,"threshold_uncertainty_score":0.99980795},"labels":[],"label_agreement":null},{"id":"W1655296592","doi":"10.17269/cjph.97.1555","title":"Corrélats subjectifs de la marche et du quartier chez les visiteurs du site Web de Canada en mouvement","year":2006,"lang":"fr","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Art; Political science","score_opus":0.007106991553930793,"score_gpt":0.24788512352603476,"score_spread":0.24077813197210396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1655296592","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92879146,0.0010240364,0.0004101485,0.012811069,0.00050345843,0.00021683624,0.000071324794,0.00006798649,0.056103673],"genre_scores_gemma":[0.9648708,0.00018794958,0.0003340919,0.0009874228,0.0006159908,0.000012725991,0.000029564999,0.000021159753,0.03294027],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99701387,0.0009096426,0.0003800558,0.000402426,0.00051400956,0.0007800232],"domain_scores_gemma":[0.9988636,0.00045830462,0.000108592816,0.00020529727,0.00010002396,0.00026418324],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002191313,0.00024589038,0.0002508933,0.00003981107,0.0004555156,0.00015298235,0.00034473094,0.0002505759,0.0032383562],"category_scores_gemma":[0.000060342398,0.00024059093,0.00011728699,0.00045949756,0.00055042416,0.0002797759,0.0000390038,0.00034274603,0.000021333066],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020975673,0.00023042556,0.9617981,0.000040243493,0.000022125932,0.00007424217,0.0048911716,0.0001645389,0.0004584102,0.004974872,0.024871841,0.0024530522],"study_design_scores_gemma":[0.00030264223,0.000024268551,0.80442435,0.00002219275,0.000045584264,0.0000017698414,0.0023561632,0.0006512134,0.00059431914,0.00089549506,0.19040973,0.0002722616],"about_ca_topic_score_codex":0.9901968,"about_ca_topic_score_gemma":0.99652845,"teacher_disagreement_score":0.1655379,"about_ca_system_score_codex":0.0011932106,"about_ca_system_score_gemma":0.0029523396,"threshold_uncertainty_score":0.9976728},"labels":[],"label_agreement":null},{"id":"W1658980772","doi":"10.5821/ctv.7539","title":"Leyes de escala en los espacios urbanos","year":2009,"lang":"es","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Transport Canada","funders":"","keywords":"Humanities; Philosophy","score_opus":0.010987379515663878,"score_gpt":0.3082192221865256,"score_spread":0.2972318426708617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1658980772","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76678973,0.000371991,0.00042475344,0.009321912,0.00021187859,0.00028708144,0.0000146354905,0.00018585227,0.22239219],"genre_scores_gemma":[0.9781444,0.0001745924,0.0004875191,0.0010292027,0.00063275546,0.0000036509548,0.000005004767,0.000009767809,0.019513117],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979502,0.00019262664,0.00033482173,0.00042747727,0.0004478361,0.00064707035],"domain_scores_gemma":[0.99911565,0.00013558606,0.000088751985,0.00031078633,0.000062650186,0.0002865969],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00067065726,0.00022326312,0.0002897605,0.000060318926,0.00036298847,0.00025615093,0.00053386815,0.0003037333,0.0022115614],"category_scores_gemma":[0.00008849053,0.0001928556,0.0002131123,0.00038725042,0.00027813282,0.00044898406,0.000017170512,0.00025908204,0.00021392012],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043183438,0.0005765854,0.9255711,0.00003791008,0.000029331664,0.000025051306,0.006647621,0.0000030930478,0.00084582204,0.032068156,0.007975571,0.026176596],"study_design_scores_gemma":[0.00039529012,0.00013693511,0.90985775,0.000059993698,0.00007771169,3.64928e-7,0.001210938,0.000081994716,0.0021666049,0.010501138,0.075107925,0.00040337272],"about_ca_topic_score_codex":0.0013163851,"about_ca_topic_score_gemma":0.00094552,"teacher_disagreement_score":0.21135469,"about_ca_system_score_codex":0.000120554294,"about_ca_system_score_gemma":0.00025848177,"threshold_uncertainty_score":0.99870056},"labels":[],"label_agreement":null},{"id":"W1667132438","doi":"10.7202/1028939ar","title":"Quartiers durables et pôles d’emploi : vers des navettes plus courtes et moins polluantes ? Une analyse de Montréal, 1998-2008","year":2015,"lang":"fr","type":"article","venue":"Cahiers de géographie du Québec","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"McGill University; Institut National de la Recherche Scientifique","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.01859549048725358,"score_gpt":0.25867162175450964,"score_spread":0.24007613126725605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1667132438","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8701982,0.083644755,0.0006333716,0.04198613,0.0008001902,0.00037259827,0.00010034102,0.0002863232,0.001978095],"genre_scores_gemma":[0.9757894,0.015576949,0.0013264889,0.0026668971,0.00031857553,0.00005196771,0.00005801609,0.00008549128,0.0041262023],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9947442,0.0011274943,0.0008386202,0.00085465034,0.00081029395,0.0016247873],"domain_scores_gemma":[0.996405,0.00085658557,0.0004277248,0.00059829897,0.00031724828,0.0013951531],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0028083879,0.00069385394,0.00087286526,0.0005495884,0.0013191598,0.0006054383,0.0009037966,0.0006885459,0.00010704883],"category_scores_gemma":[0.000689745,0.00070144015,0.000769884,0.003583817,0.02214905,0.0023825932,0.00004910717,0.0009396345,0.0000770025],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003525735,0.00056945614,0.79437923,0.00017383728,0.00078086933,0.00030262393,0.14911294,0.0015884902,0.00022208906,0.011398252,0.034682106,0.0064375377],"study_design_scores_gemma":[0.004439028,0.00081143185,0.34896743,0.0010189379,0.0022675716,0.0000531258,0.35846063,0.0016568167,0.0005559529,0.05843253,0.22041778,0.0029187785],"about_ca_topic_score_codex":0.68921936,"about_ca_topic_score_gemma":0.9111804,"teacher_disagreement_score":0.4454118,"about_ca_system_score_codex":0.0020295784,"about_ca_system_score_gemma":0.005127124,"threshold_uncertainty_score":0.999981},"labels":[],"label_agreement":null},{"id":"W1675074539","doi":"10.4000/norois.5157","title":"Les grands ensembles résidentiels adaptés québécois destinés aux aînés. Une exploration de la marchabilité du quartier à l’aide d’un audit urbain","year":2014,"lang":"fr","type":"article","venue":"Norois","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Montréal","funders":"Université de Montréal","keywords":"Humanities; Walkability; Political science; Geography; Art; Physical activity; Medicine","score_opus":0.03573338814086043,"score_gpt":0.2934934152300032,"score_spread":0.2577600270891428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1675074539","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9497618,0.003075794,0.018331008,0.014988964,0.00097325054,0.00040581977,0.000035491805,0.00020411273,0.012223756],"genre_scores_gemma":[0.9907412,0.00045971124,0.0017442539,0.00027831958,0.0012722313,0.000080240236,0.000035823574,0.00005378984,0.0053344257],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9952749,0.0015202487,0.00078776025,0.000766621,0.00073843094,0.000912035],"domain_scores_gemma":[0.9972695,0.0011927786,0.00029964332,0.0005677322,0.00025976976,0.0004105912],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0031959806,0.00043387082,0.000539577,0.00012055065,0.0011735734,0.00025493966,0.00061517314,0.000538277,0.0012021159],"category_scores_gemma":[0.0008111612,0.00044901253,0.0003581535,0.0008697686,0.0017132205,0.0012390723,0.00006125434,0.00047538316,0.00013048953],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000113131646,0.0005215672,0.7204884,0.00020962022,0.00007330658,0.000030347248,0.05420273,0.00019020784,0.00055863854,0.032462887,0.0028328826,0.18831627],"study_design_scores_gemma":[0.0012922287,0.00032921464,0.6897646,0.00026801773,0.00034198212,0.0000063190873,0.008632928,0.0020866636,0.0015685282,0.14626293,0.14846109,0.000985506],"about_ca_topic_score_codex":0.38123617,"about_ca_topic_score_gemma":0.38465,"teacher_disagreement_score":0.18733077,"about_ca_system_score_codex":0.0003383668,"about_ca_system_score_gemma":0.00059635873,"threshold_uncertainty_score":0.99979615},"labels":[],"label_agreement":null},{"id":"W1676489804","doi":"","title":"Analyse évolutive des comportements de mobilité des personnes âgées","year":2011,"lang":"fr","type":"book","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Psychology; Humanities; Political science; Art","score_opus":0.03423926043670144,"score_gpt":0.2734544110391752,"score_spread":0.23921515060247378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1676489804","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8683552,0.018418156,0.05170439,0.0005016497,0.0005016982,0.0024832783,0.0006166983,0.0011145858,0.056304324],"genre_scores_gemma":[0.8602919,0.0026727384,0.04965855,0.00071055896,0.0009569064,0.00073020847,0.00022930559,0.00022660967,0.08452322],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.991615,0.0010174629,0.0016771726,0.0017412179,0.0011263577,0.0028227952],"domain_scores_gemma":[0.9947262,0.00042217644,0.0011690491,0.0015464175,0.000699142,0.0014370348],"candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts"],"category_scores_codex":[0.0030465142,0.0014446954,0.0016773274,0.0007525018,0.0026760204,0.00037776298,0.0022761063,0.0017604361,0.0019618059],"category_scores_gemma":[0.00038459178,0.0015164225,0.0012944721,0.0013949235,0.007512653,0.0015210696,0.0003460004,0.0015223051,0.00015650988],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020310786,0.0012772572,0.9408273,0.00054392783,0.00065569853,0.00021152079,0.017691152,0.000097262506,0.00045262754,0.017822228,0.0016501588,0.018567748],"study_design_scores_gemma":[0.0009221544,0.0004981104,0.8691989,0.0011293549,0.0014045645,0.00003088798,0.005840654,0.0032232173,0.0017949732,0.09791638,0.015632132,0.0024086332],"about_ca_topic_score_codex":0.3237969,"about_ca_topic_score_gemma":0.33357176,"teacher_disagreement_score":0.08009415,"about_ca_system_score_codex":0.005892599,"about_ca_system_score_gemma":0.0029310652,"threshold_uncertainty_score":0.9998303},"labels":[],"label_agreement":null},{"id":"W1681416461","doi":"","title":"Dix choses a savoir sur les regions metropolitaines du Canada: synthese de la serie de Statistique Canada","year":2005,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Geography; Art","score_opus":0.02988959088489045,"score_gpt":0.3070554635899699,"score_spread":0.2771658727050794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1681416461","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93057597,0.0010669646,0.000017531522,0.009400564,0.00039298623,0.00061705016,0.0009414459,0.000032863318,0.056954645],"genre_scores_gemma":[0.9684885,0.017732725,0.00079023285,0.00019822009,0.0008126502,0.0001963521,0.000066696666,0.000067533576,0.011647071],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99318415,0.0022367975,0.0009185721,0.0010955149,0.00061306555,0.0019519269],"domain_scores_gemma":[0.99125665,0.0064269747,0.00029939442,0.0008395944,0.00031005652,0.00086733623],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0045095677,0.00049183227,0.0008123484,0.00018734256,0.0010078513,0.00022365227,0.0015050626,0.0006093722,0.00050848594],"category_scores_gemma":[0.0045958017,0.00055382255,0.00018322418,0.0003365882,0.002404852,0.00025059993,0.00033258626,0.0021275792,0.000001226419],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.00010396612,0.0002765534,0.90823376,0.0003632732,0.0002260136,0.0005556376,0.0028924874,0.005252572,0.000014407539,0.024940161,0.0030838107,0.05405738],"study_design_scores_gemma":[0.0003013153,0.000026427413,0.45607364,0.00027024827,0.000034238907,0.000007906715,0.009052979,0.0014915101,0.00005952465,0.0038692332,0.528098,0.0007149957],"about_ca_topic_score_codex":0.9994636,"about_ca_topic_score_gemma":0.99997985,"teacher_disagreement_score":0.52501416,"about_ca_system_score_codex":0.028656429,"about_ca_system_score_gemma":0.070230186,"threshold_uncertainty_score":0.9996913},"labels":[],"label_agreement":null},{"id":"W1684453201","doi":"","title":"Assessing Transportation Disadvantage in Rural Ontario, Canada: A Case Study of Huron County","year":2015,"lang":"en","type":"article","venue":"Journal of rural and community development","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Disadvantage; Disadvantaged; Service (business); Business; Service provider; Geography; Economic growth; Socioeconomics; Political science; Economics; Marketing","score_opus":0.05149480445778609,"score_gpt":0.3201243351349048,"score_spread":0.2686295306771187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1684453201","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994379,0.000067094035,0.00001024065,0.000068571826,0.00012608113,0.00011136144,0.0000013529774,0.000002537303,0.00017483137],"genre_scores_gemma":[0.99978983,0.0000051381153,0.00013278237,0.000015817768,0.000012499769,0.0000011866024,0.000003637608,0.0000025426596,0.000036577927],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99855584,0.0003284954,0.0005312905,0.000031263262,0.00042111753,0.00013197758],"domain_scores_gemma":[0.99927175,0.00007763134,0.00027145623,0.00006928969,0.00018015187,0.00012969597],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015756611,0.00007983359,0.0002311716,0.000053232754,0.0003676444,0.000041397223,0.00015916034,0.000030797033,0.000013959602],"category_scores_gemma":[0.0000216408,0.000065111904,0.000020135438,0.00013224204,0.00006319375,0.0005469797,0.000010848931,0.00043449376,2.8910858e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039905557,0.0004605774,0.78657395,0.000009850039,0.000014179005,0.00018640274,0.20731129,0.000009296934,0.0000053720355,0.000003194241,0.000011990721,0.00537398],"study_design_scores_gemma":[0.00048904866,0.00007230769,0.56495893,0.000042084128,0.0000109903485,0.000011054205,0.43415034,5.9543714e-7,0.000009659257,0.000037401565,0.00016871082,0.000048867234],"about_ca_topic_score_codex":0.98976797,"about_ca_topic_score_gemma":0.99966276,"teacher_disagreement_score":0.22683905,"about_ca_system_score_codex":0.000573713,"about_ca_system_score_gemma":0.00238518,"threshold_uncertainty_score":0.4231207},"labels":[],"label_agreement":null},{"id":"W1698470199","doi":"10.1139/cjce-2011-0432","title":"A station-level ridership model for the metro network in Montreal, Quebec","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":74,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Transport engineering; Metro station; Telecommunications; Environmental science; Engineering","score_opus":0.03545651110781683,"score_gpt":0.24118657169966398,"score_spread":0.20573006059184715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1698470199","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5985753,0.003977975,0.38684374,0.0062252097,0.0011144485,0.0008044969,0.00003860182,0.000020363621,0.0023998497],"genre_scores_gemma":[0.9986323,0.000010954933,0.00046038354,0.00006109785,0.00027633747,0.000011561058,9.205096e-7,0.000008201841,0.00053823704],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9992258,0.00001490909,0.00023942521,0.00006028164,0.0001182223,0.00034134684],"domain_scores_gemma":[0.9992402,0.00020861991,0.000071722614,0.00006939277,0.00012554649,0.00028448118],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062132376,0.00006568312,0.00012057394,0.00010322244,0.0001513977,0.0001021958,0.00023733819,0.000044993183,0.00015821436],"category_scores_gemma":[0.00019592281,0.000053025182,0.00007041546,0.00020998184,0.0000421878,0.00036737596,0.0000014917347,0.00014627258,0.0000011253709],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000040653167,0.0000047987455,0.06756834,0.000015946878,0.000029341187,0.000004410571,0.0074550305,0.91177523,0.0000041069807,0.0012406791,0.009224138,0.0026739307],"study_design_scores_gemma":[0.00043618583,0.00001740329,0.54912513,0.000096830234,0.000035044843,3.9097807e-7,0.0021798236,0.4362168,0.000003014498,0.0073739304,0.004315352,0.00020007147],"about_ca_topic_score_codex":0.4906315,"about_ca_topic_score_gemma":0.99899614,"teacher_disagreement_score":0.5083647,"about_ca_system_score_codex":0.000214635,"about_ca_system_score_gemma":0.00093017495,"threshold_uncertainty_score":0.51276046},"labels":[],"label_agreement":null},{"id":"W1698806803","doi":"10.1016/j.ypmed.2015.09.008","title":"Does the effect of walkable built environments vary by neighborhood socioeconomic status?","year":2015,"lang":"en","type":"article","venue":"Preventive Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":61,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; Université de Montréal","funders":"","keywords":"Quartile; Metropolitan area; Socioeconomic status; Odds; Moderation; Built environment; Environmental health; TRIPS architecture; Medicine; Logistic regression; Land use; Transport engineering; Demography; Census; Geography; Confidence interval; Statistics; Population; Engineering; Mathematics; Civil engineering","score_opus":0.01264926731116325,"score_gpt":0.2954020698263037,"score_spread":0.28275280251514046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1698806803","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9832756,0.0015546124,0.00029393303,0.0019864573,0.00052643043,0.0005453453,0.000025213578,0.00001963106,0.01177276],"genre_scores_gemma":[0.9944002,0.00011925361,0.000008771138,0.00007180571,0.00021910692,0.00002475163,0.000023811252,0.000008105418,0.0051241643],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99850655,0.0003949911,0.00026020146,0.000217397,0.00033559892,0.00028524236],"domain_scores_gemma":[0.99916774,0.00027470177,0.0001687925,0.00021367332,0.000018290737,0.00015683062],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0017534727,0.000119002274,0.00027793588,0.000021808442,0.00015262359,0.000008076646,0.00030480904,0.000056294582,0.0010891529],"category_scores_gemma":[0.00014886582,0.00005416538,0.000065223685,0.000074174946,0.00086579775,0.00019120818,0.000035125762,0.00012670999,0.00003118795],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058619906,0.000054940516,0.9797815,0.000021090795,0.00006492432,8.195733e-7,0.0084312735,8.410263e-7,0.0004695693,0.0000897256,0.0057518985,0.0052747605],"study_design_scores_gemma":[0.0075665656,0.001855562,0.7237375,0.00019760121,0.0007016638,2.0426441e-7,0.014822032,0.000048738435,0.015486251,0.031136913,0.20387399,0.0005730096],"about_ca_topic_score_codex":0.003280742,"about_ca_topic_score_gemma":0.0003558416,"teacher_disagreement_score":0.2560441,"about_ca_system_score_codex":0.00011541428,"about_ca_system_score_gemma":0.000066871624,"threshold_uncertainty_score":0.999824},"labels":[],"label_agreement":null},{"id":"W170792156","doi":"","title":"Investigating Effects of Psychological Factors on Commuting Mode Choice Behavior","year":2012,"lang":"en","type":"article","venue":"Transportation Research Board 91st Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Psychology; Structural equation modeling; Mode (computer interface); Social psychology; Likert scale; Habit; Developmental psychology; Statistics; Mathematics; Computer science","score_opus":0.14621719127992427,"score_gpt":0.47985740293030665,"score_spread":0.3336402116503824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W170792156","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9916985,0.00025375132,0.00008624888,0.00046384824,0.00046495377,0.002550478,0.00023445755,0.00029224332,0.0039555407],"genre_scores_gemma":[0.99689025,0.00013767055,0.0010022211,0.00006909784,0.0005045699,0.00049692293,0.00034677557,0.0000881101,0.00046436192],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9854115,0.0030593032,0.0015341957,0.0010302697,0.006181468,0.0027832515],"domain_scores_gemma":[0.98880184,0.0059724506,0.0004000219,0.0007452014,0.0027161245,0.0013643368],"candidate_categories":["metaepi_narrow","sts","research_integrity"],"consensus_categories":["sts"],"category_scores_codex":[0.009330534,0.0004902021,0.0007441707,0.0011092288,0.002552281,0.0001600196,0.0012511337,0.000631282,0.0004053631],"category_scores_gemma":[0.0025367497,0.00046912822,0.0003841941,0.003155535,0.00312549,0.0015424001,0.000017525268,0.0027570152,0.000060977283],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014682386,0.0013207614,0.93969923,0.00042459002,0.000040822175,0.000017677468,0.045151066,0.000057181333,0.0038165976,0.007515635,0.0005828456,0.0012267831],"study_design_scores_gemma":[0.0009714816,0.0004879996,0.9708957,0.00039563546,0.000059606842,3.0518237e-8,0.017186232,0.000009369862,0.0063143005,0.00061893655,0.0026190197,0.0004416568],"about_ca_topic_score_codex":0.056056093,"about_ca_topic_score_gemma":0.028437773,"teacher_disagreement_score":0.031196514,"about_ca_system_score_codex":0.00031024654,"about_ca_system_score_gemma":0.000408914,"threshold_uncertainty_score":0.99977607},"labels":[],"label_agreement":null},{"id":"W170960933","doi":"10.18757/ejtir.2006.6.1.4324","title":"The adequate integration of sustainability into transport policy","year":2006,"lang":"en","type":"article","venue":"European journal of transport and infrastructure research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Externality; Public transport; Public economics; Business; Sustainability; Industrial organization; Sustainable transport; Intervention (counseling); Set (abstract data type); Service (business); Environmental economics; Marketing; Economics; Transport engineering; Microeconomics; Computer science; Engineering","score_opus":0.02144353165498721,"score_gpt":0.34955058927241045,"score_spread":0.32810705761742326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W170960933","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.981682,0.00079847197,0.0017861032,0.0028654365,0.00014229193,0.00025217384,0.000006926021,0.000011273627,0.0124553265],"genre_scores_gemma":[0.99829364,0.00028829937,0.00027038468,0.000010707332,0.00066383753,8.0090126e-7,0.0000059557415,0.000015623715,0.00045075177],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9965783,0.00083617104,0.00090678653,0.00019188404,0.0010351003,0.0004517628],"domain_scores_gemma":[0.9977312,0.0001812642,0.00028051736,0.0002229251,0.0013974498,0.00018661936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008151009,0.00013829957,0.00026371982,0.00025678953,0.00082887453,0.000056153887,0.00061630877,0.00006334123,0.00007336708],"category_scores_gemma":[0.00017400437,0.000088129076,0.00017961569,0.0007691566,0.0018846565,0.0004268859,0.000011514951,0.00074548123,6.6895336e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006969027,0.00013003564,0.82153785,0.0001355695,0.00006319417,0.00015548288,0.025858361,0.000085870255,0.0010085675,0.02938438,0.0005206273,0.12042315],"study_design_scores_gemma":[0.00035496536,0.00016635367,0.94350284,0.000037331163,0.00002093922,0.000002527826,0.005102256,0.0000023737232,0.00023932487,0.026286677,0.024197262,0.00008714221],"about_ca_topic_score_codex":0.002989549,"about_ca_topic_score_gemma":0.0018006888,"teacher_disagreement_score":0.121965,"about_ca_system_score_codex":0.00013989951,"about_ca_system_score_gemma":0.0009080051,"threshold_uncertainty_score":0.69440955},"labels":[],"label_agreement":null},{"id":"W1710948816","doi":"10.32920/25413142.v1","title":"Effect of Increasing Road Light Luminance on Night Driving Performance of Older Adults","year":2024,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; York University","funders":"Ministère des Transports","keywords":"Luminance; Light pollution; Environmental science; Computer science; Optics; Computer vision; Physics","score_opus":0.004330341655349603,"score_gpt":0.26576378841486137,"score_spread":0.26143344675951175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1710948816","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9637462,0.00035566566,0.000011259748,0.00009348552,0.00025221924,0.00019383253,0.0000014503181,0.00006282755,0.035283055],"genre_scores_gemma":[0.9987314,0.000040789757,0.000040225535,0.00000779749,0.0000912194,0.0000051411425,0.0000012278641,0.0000069129737,0.0010753283],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989431,0.00011727369,0.00023661178,0.00021694017,0.00030211496,0.00018395256],"domain_scores_gemma":[0.9994929,0.00021226637,0.000057728852,0.00014984178,0.00004241785,0.000044844335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010931126,0.00009274213,0.00019715936,0.00006147868,0.00010986987,0.000022743476,0.00018322398,0.000068266345,0.0002448916],"category_scores_gemma":[0.0000708288,0.00006655135,0.00008959669,0.00034331417,0.00014125784,0.00029756528,0.000013024604,0.00009701978,0.000012119257],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013005664,0.000057659465,0.92196226,0.0007287144,0.000014029539,0.0000035657151,0.006781866,0.0000016771602,0.0009931858,0.00046397172,0.00010411527,0.068758905],"study_design_scores_gemma":[0.00026554122,0.00029945796,0.8749112,0.0021753977,0.000031618172,1.8554896e-7,0.00020402079,0.0005896629,0.1205404,0.00001695369,0.0008074988,0.00015806597],"about_ca_topic_score_codex":0.0017779059,"about_ca_topic_score_gemma":0.00063324755,"teacher_disagreement_score":0.11954722,"about_ca_system_score_codex":0.000031274805,"about_ca_system_score_gemma":0.000059314872,"threshold_uncertainty_score":0.27138853},"labels":[],"label_agreement":null},{"id":"W1719559490","doi":"10.3141/2247-06","title":"Weather or Not to Cycle","year":2011,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":187,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; U.S. Department of Transportation","keywords":"Cycling; Environmental science; Lagging; Morning; Precipitation; Relative humidity; Meteorology; Humidity; Atmospheric sciences; Geography; Statistics; Mathematics; Medicine; Forestry","score_opus":0.21073153396628935,"score_gpt":0.4500908466130156,"score_spread":0.23935931264672627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1719559490","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9895251,0.00005421822,0.0007745286,0.0041289595,0.0007218487,0.0012629323,0.000052297415,0.00004890404,0.00343121],"genre_scores_gemma":[0.9912235,0.00030081213,0.0026055558,0.0001710285,0.00035847558,0.000058567377,0.0000040636564,0.000051088802,0.0052268975],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99031615,0.0016527572,0.0013716803,0.0004890039,0.0049060932,0.001264321],"domain_scores_gemma":[0.9936296,0.00078570575,0.00034185493,0.00057865045,0.0037935465,0.000870639],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0084557105,0.00023896348,0.00045573543,0.0009222281,0.0014389657,0.0001542697,0.0020697915,0.0002436903,0.004323777],"category_scores_gemma":[0.000397119,0.00016395522,0.0004374309,0.0034047184,0.0011965736,0.0009998018,0.00000788003,0.0018560917,0.00011291324],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0081920475,0.0007979133,0.86110204,0.00015428143,0.00017396039,0.00029458044,0.096169,0.00007111845,0.0013880702,0.009257363,0.00854099,0.013858601],"study_design_scores_gemma":[0.0008121547,0.0005074799,0.94275373,0.00018795,0.000040765382,7.703698e-8,0.009942529,0.0000042430706,0.001595755,0.0043334416,0.039613362,0.00020849932],"about_ca_topic_score_codex":0.075886585,"about_ca_topic_score_gemma":0.4023865,"teacher_disagreement_score":0.32649988,"about_ca_system_score_codex":0.0002944777,"about_ca_system_score_gemma":0.0014695901,"threshold_uncertainty_score":0.999861},"labels":[],"label_agreement":null},{"id":"W1722119671","doi":"10.3390/ijerph120910995","title":"Capturing the Interrelationship between Objectively Measured Physical Activity and Sedentary Behaviour in Children in the Context of Diverse Environmental Exposures","year":2015,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Saskatchewan; University of Regina","funders":"Canadian Institutes of Health Research","keywords":"Neighbourhood (mathematics); Physical activity; Socioeconomic status; Psychological intervention; Context (archaeology); Built environment; Interdependence; Sedentary behavior; Multilevel model; Social environment; Logistic regression; Environmental health; Geography; Psychology; Medicine; Population; Ecology; Statistics; Sociology; Physical therapy; Mathematics","score_opus":0.14142182740789064,"score_gpt":0.3981650568122655,"score_spread":0.2567432294043749,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1722119671","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99385005,0.00036546207,0.0000056486815,0.005390436,0.000037691017,0.0002216961,0.00006198227,0.0000011821294,0.00006586491],"genre_scores_gemma":[0.99961174,0.00016671719,0.0000066818525,0.000054598804,0.00013807142,0.0000034683005,0.0000068250233,0.0000031255013,0.000008795843],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973918,0.0008793123,0.00023879153,0.00011654983,0.0011596958,0.00021380291],"domain_scores_gemma":[0.9992477,0.00034670293,0.00015047939,0.00006224815,0.000020960382,0.00017190388],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039499677,0.000062825544,0.00013366884,0.000155871,0.00015027184,0.00006635269,0.00038139513,0.000034778983,0.000011402936],"category_scores_gemma":[0.00013059024,0.00004156718,0.000036687892,0.00008058181,0.0007075772,0.0004881447,0.00008073469,0.0005163782,5.6549266e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060966515,0.00044733394,0.9632557,0.0000010758832,0.000022524624,0.0000040016407,0.023284115,4.8377996e-7,0.000029980558,0.00005835595,0.000016912483,0.012818554],"study_design_scores_gemma":[0.00056854205,0.00015970554,0.95531195,0.000012362597,0.0000024052758,0.0000040199184,0.0432306,0.00000465454,0.000021564654,0.00059958495,0.000052657597,0.000031940363],"about_ca_topic_score_codex":0.007929757,"about_ca_topic_score_gemma":0.0032543906,"teacher_disagreement_score":0.019946486,"about_ca_system_score_codex":0.00038447807,"about_ca_system_score_gemma":0.00020062501,"threshold_uncertainty_score":0.99867654},"labels":[],"label_agreement":null},{"id":"W1723814255","doi":"10.14288/1.0098535","title":"Use of the light rail or light rapid transit systems by individuals with severe visual impairments","year":2010,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Future Vehicle Technologies (Canada)","funders":"","keywords":"Orientation and Mobility; Light rail transit; Independence (probability theory); Orientation (vector space); Light rail; Transit (satellite); Visually impaired; Blindness; Psychology; Transport engineering; Computer science; Human–computer interaction; Public transport; Optometry; Engineering; Medicine","score_opus":0.010298721289534837,"score_gpt":0.2013399662729608,"score_spread":0.19104124498342595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1723814255","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99696326,0.000059810394,0.000024042873,0.00032771946,0.00025132907,0.00054729934,0.00036452775,0.000046936566,0.0014150514],"genre_scores_gemma":[0.9964015,0.00002676229,0.000059484075,0.000025471094,0.000036211342,7.905236e-7,0.000011678081,0.000010695261,0.0034274214],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998454,0.00014238791,0.00017651975,0.00033207602,0.0006010399,0.00029399354],"domain_scores_gemma":[0.9990779,0.00005097678,0.00023216347,0.00027944197,0.00020488953,0.00015463505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038678708,0.000060730883,0.00030600783,0.000026692544,0.00061588397,0.00017443245,0.0006120555,0.0001898522,0.00040564532],"category_scores_gemma":[0.00002385994,0.00011682723,0.00013196864,0.00048815578,0.0006213864,0.0008099788,0.00004441821,0.00022033222,0.000003207419],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000582395,0.00052696245,0.9500672,0.00013369342,0.00013334918,0.000048262573,0.0049372716,0.0000015429414,0.0014813143,0.0000032808102,0.011926839,0.030682037],"study_design_scores_gemma":[0.0008441531,0.00009589766,0.98085153,0.00014089607,0.000089020934,0.000007524272,0.003585932,0.000005515134,0.000014589524,0.000012546936,0.014170501,0.00018187852],"about_ca_topic_score_codex":0.18101484,"about_ca_topic_score_gemma":0.63954234,"teacher_disagreement_score":0.4585275,"about_ca_system_score_codex":0.000038541697,"about_ca_system_score_gemma":0.0003016246,"threshold_uncertainty_score":0.82443887},"labels":[],"label_agreement":null},{"id":"W1729784135","doi":"10.4278/ajhp.140428-qual-169","title":"Community Lenses Revealing the Role of Sociocultural Environment on Physical Activity","year":2015,"lang":"en","type":"article","venue":"American Journal of Health Promotion","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Killam Trusts; Heart and Stroke Foundation of Canada","keywords":"Photovoice; Sociocultural evolution; Recreation; Feeling; Psychology; Narrative; Sociology; Social psychology; Ecology; Anthropology","score_opus":0.0856595803364322,"score_gpt":0.37858363895460845,"score_spread":0.2929240586181763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1729784135","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9921778,0.00006658487,0.00011358903,0.0071591325,0.00006345304,0.00015559369,0.0000025243273,0.0000056591675,0.00025570113],"genre_scores_gemma":[0.99961156,0.000033840064,0.00009545013,0.00007241319,0.00016381225,0.000002072097,7.7696285e-7,0.00000347102,0.000016584889],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9971487,0.0019553844,0.00023848662,0.00005578738,0.0004429261,0.00015873663],"domain_scores_gemma":[0.9987142,0.00010869698,0.0008636049,0.00011482045,0.00008820203,0.00011044425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031300844,0.000060551225,0.00024087557,0.000021158576,0.00045283866,0.000010730287,0.00019802585,0.00001693066,0.0000054173884],"category_scores_gemma":[0.000082030245,0.00003790184,0.00008388591,0.0001072806,0.00053811184,0.00018593765,0.000011457295,0.00040276212,0.000001698243],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017102959,0.0023186023,0.0970507,0.000026469008,0.000037019414,7.1334904e-7,0.118132085,0.00007879405,0.0006930454,0.00035740572,0.00012566107,0.7810085],"study_design_scores_gemma":[0.00075953675,0.009557416,0.8210313,0.00022354518,0.000059213955,0.0000032319606,0.149865,0.000070075264,0.0032972572,0.009279431,0.0056210966,0.00023289905],"about_ca_topic_score_codex":0.004504409,"about_ca_topic_score_gemma":0.000116304305,"teacher_disagreement_score":0.7807756,"about_ca_system_score_codex":0.00023065245,"about_ca_system_score_gemma":0.00026316888,"threshold_uncertainty_score":0.6809349},"labels":[],"label_agreement":null},{"id":"W1730568314","doi":"10.7202/012107ar","title":"Forme urbaine, qualité de vie, environnements naturels et construits","year":2006,"lang":"fr","type":"article","venue":"Cahiers de géographie du Québec","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Humanities; Art","score_opus":0.007465841450524623,"score_gpt":0.2410968557990611,"score_spread":0.23363101434853648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1730568314","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92102045,0.018618507,0.0010395651,0.011275274,0.0009528465,0.0004650941,0.00012663122,0.00015843181,0.04634321],"genre_scores_gemma":[0.9622072,0.00064111187,0.0006503277,0.002825042,0.000673728,0.00004525592,0.00006964003,0.000048781338,0.03283889],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9961618,0.00056625955,0.0007004902,0.00066519,0.0005664612,0.0013397532],"domain_scores_gemma":[0.99823886,0.00041597514,0.00032420727,0.00043639663,0.000100817015,0.00048374562],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0017341531,0.00046069812,0.0004871542,0.000255729,0.0009249811,0.00015699955,0.0006852914,0.00091253064,0.0007190167],"category_scores_gemma":[0.00013990427,0.0004981521,0.00057129626,0.0014389714,0.013494054,0.0006353749,0.000035149926,0.0009916411,0.00007583886],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040359555,0.0005051959,0.7724425,0.00012617957,0.00013095504,0.000076164026,0.0068068923,0.000020832731,0.00019453137,0.19554885,0.015526888,0.008580654],"study_design_scores_gemma":[0.0009907265,0.00006874596,0.41773582,0.00009834986,0.00024012246,0.000007767079,0.0011848804,0.000019987876,0.00018302415,0.02604065,0.5527675,0.00066240446],"about_ca_topic_score_codex":0.14147712,"about_ca_topic_score_gemma":0.4270087,"teacher_disagreement_score":0.5372406,"about_ca_system_score_codex":0.0007999854,"about_ca_system_score_gemma":0.0016208123,"threshold_uncertainty_score":0.99974704},"labels":[],"label_agreement":null},{"id":"W1730743058","doi":"10.1038/ijosup.2015.27","title":"Relationships between active school transport and adiposity indicators in school-age children from low-, middle- and high-income countries","year":2015,"lang":"en","type":"article","venue":"International Journal of Obesity Supplements","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":91,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Children's Hospital of Eastern Ontario","funders":"Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS); Coca-Cola Foundation","keywords":"Waist; Medicine; Body mass index; Bioelectrical impedance analysis; Circumference; Obesity; Waist-to-height ratio; Confidence interval; Context (archaeology); Demography; Childhood obesity; Odds ratio; Internal medicine; Geography; Mathematics; Overweight","score_opus":0.024902339670966674,"score_gpt":0.293581592705863,"score_spread":0.2686792530348963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1730743058","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99764925,0.00015137202,0.00009615263,0.0010064391,0.00025315318,0.00018780911,0.0005230167,0.000009551443,0.00012322879],"genre_scores_gemma":[0.99888116,0.00007793415,0.00044045664,0.00004515129,0.00037602102,0.000001808398,0.0001272244,0.000006646787,0.00004359176],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99798065,0.00018644122,0.00054751773,0.00019602494,0.00090575323,0.00018358827],"domain_scores_gemma":[0.99877787,0.00012517592,0.00034581,0.000078356905,0.00023043908,0.0004423631],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001167333,0.0001245982,0.00026153895,0.0003695672,0.00017193654,0.000110858,0.000424387,0.00011776586,0.00026640744],"category_scores_gemma":[0.00021464076,0.00012110635,0.000050185423,0.00017919407,0.00021747737,0.0011983814,0.000041810636,0.00046190489,0.000006022533],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012854063,0.00007816871,0.99639475,0.0000031689863,0.00017385445,0.00003694191,0.0028748137,0.0000016566438,0.0000021676426,0.00011776684,0.000057000703,0.00013117831],"study_design_scores_gemma":[0.0018015311,0.00003282212,0.99282205,0.00010243736,0.0000664518,0.0000011303666,0.0006257114,5.932721e-7,0.00008227696,0.003974584,0.00037651544,0.000113866394],"about_ca_topic_score_codex":0.00718276,"about_ca_topic_score_gemma":0.0082202405,"teacher_disagreement_score":0.003856817,"about_ca_system_score_codex":0.00032874153,"about_ca_system_score_gemma":0.00034082195,"threshold_uncertainty_score":0.9994285},"labels":[],"label_agreement":null},{"id":"W1731064752","doi":"10.1038/ijosup.2015.17","title":"Development and reliability of an audit tool to assess the school physical activity environment across 12 countries","year":2015,"lang":"en","type":"article","venue":"International Journal of Obesity Supplements","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Children's Hospital of Eastern Ontario","funders":"Coca-Cola Foundation","keywords":"Audit; Certification; Cohen's kappa; Reliability (semiconductor); Intraclass correlation; Sample (material); Kappa; Data collection; Psychology; Medicine; Applied psychology; Statistics; Accounting; Psychometrics; Business; Mathematics; Clinical psychology; Political science","score_opus":0.04324747737720951,"score_gpt":0.3627167135468505,"score_spread":0.31946923616964096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1731064752","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99712485,0.000005875893,0.0006952061,0.0015259688,0.0003127126,0.00017522307,0.00007626622,0.00000422269,0.000079682766],"genre_scores_gemma":[0.9972841,0.00000790078,0.002289406,0.00007534006,0.00025033625,0.0000040597765,0.0000053070894,0.0000036759184,0.00007986959],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978964,0.00012475633,0.00032025247,0.00014704232,0.0013396324,0.00017192183],"domain_scores_gemma":[0.9989439,0.00007578602,0.00028607537,0.00012476805,0.00036237613,0.00020708246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020071438,0.00009060277,0.00017254787,0.00003096151,0.0001755006,0.000108819106,0.0005774197,0.00003331211,0.00014188563],"category_scores_gemma":[0.00019620062,0.0000661137,0.000053898504,0.000042140036,0.00018942157,0.000754959,0.00011615407,0.00013797259,0.0000065306613],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023368467,0.00068969536,0.9825176,0.0000054973166,0.0000596837,0.000007903507,0.012066748,0.000049038157,0.00013833062,0.00009343701,0.00037306844,0.0037652843],"study_design_scores_gemma":[0.000558619,0.000073615454,0.93845266,0.000015794045,0.000015020316,0.0000010398891,0.0021215167,0.000013667333,0.00405809,0.0005477867,0.05405769,0.00008449892],"about_ca_topic_score_codex":0.0004437693,"about_ca_topic_score_gemma":0.0006984532,"teacher_disagreement_score":0.053684622,"about_ca_system_score_codex":0.0003761341,"about_ca_system_score_gemma":0.0003877192,"threshold_uncertainty_score":0.26960385},"labels":[],"label_agreement":null},{"id":"W1745789422","doi":"10.1016/j.jth.2015.05.003","title":"“Putting school travel on the map”: Facilitators and barriers to implementing school travel planning in Canada","year":2015,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University; University of Toronto","funders":"Health Canada; Public Health Agency of Canada","keywords":"Stakeholder; Government (linguistics); Psychological intervention; Thematic analysis; Variety (cybernetics); Multidisciplinary approach; Public relations; Medical education; Business; Psychology; Nursing; Qualitative research; Medicine; Political science; Sociology; Computer science","score_opus":0.04109012280583025,"score_gpt":0.3288621154629385,"score_spread":0.28777199265710823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1745789422","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98397505,0.00040887925,0.00026981783,0.013722956,0.00033500942,0.00036813464,0.000038464554,0.00000653874,0.0008751505],"genre_scores_gemma":[0.99689955,0.000022650871,0.0004916096,0.0023234012,0.00019206,0.000004049993,0.0000017521157,0.000012007669,0.00005294747],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99689704,0.0002102429,0.0010366022,0.00022960192,0.0009097081,0.00071678986],"domain_scores_gemma":[0.9972365,0.000132854,0.00037686565,0.00013074654,0.00012660354,0.0019964185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0058124545,0.00016907719,0.0004276426,0.00015025615,0.0005491447,0.000045566103,0.00035203318,0.00005383201,0.00015880688],"category_scores_gemma":[0.0003168637,0.00012826305,0.000079514895,0.00035316378,0.00006807212,0.00030600902,0.0000060623893,0.0006466133,0.0000013415386],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000077676494,0.000012117654,0.98045146,0.000036313944,0.000015812904,0.000046989102,0.016639395,0.000112957045,0.000012495747,0.000108970584,0.001210242,0.0012755418],"study_design_scores_gemma":[0.00063030806,0.00012925082,0.9182363,0.00024672292,0.000012589711,0.000002148734,0.07517516,0.000010634597,0.000022108443,0.0003888032,0.005006864,0.00013908079],"about_ca_topic_score_codex":0.7300053,"about_ca_topic_score_gemma":0.8904553,"teacher_disagreement_score":0.16044994,"about_ca_system_score_codex":0.0011767191,"about_ca_system_score_gemma":0.013763174,"threshold_uncertainty_score":0.99182785},"labels":[],"label_agreement":null},{"id":"W1754485115","doi":"10.1016/j.jth.2015.02.006","title":"Travel behavior of low income older adults and implementation of an accessibility calculator","year":2015,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; Simon Fraser University; British Columbia Centre of Excellence for Women's Health; University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Calculator; Geography; Perspective (graphical); Travel behavior; Car ownership; Population; Multilevel model; Regression analysis; Transport engineering; Computer science; Demography; Public transport; Sociology; Engineering","score_opus":0.03053926610516405,"score_gpt":0.3903050842177027,"score_spread":0.35976581811253866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1754485115","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984364,0.00035817944,0.00018611611,0.00030187762,0.00019430806,0.00041084646,0.000076224205,0.0000064296933,0.000029636156],"genre_scores_gemma":[0.9990653,0.00006860998,0.00069676025,0.000042845382,0.000098140794,0.0000026503285,0.000011665469,0.000008502561,0.0000055695446],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973954,0.00014810175,0.001318637,0.00017701162,0.0007131928,0.000247651],"domain_scores_gemma":[0.9977684,0.000024902354,0.0010450986,0.00015788873,0.00047888976,0.0005248455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027851125,0.00011311348,0.0005191178,0.00011394291,0.00009966571,0.000009805452,0.00024700165,0.00008873595,0.00009048025],"category_scores_gemma":[0.000012967548,0.00009611602,0.00012670406,0.00023702337,0.00023033093,0.0007805233,0.0000039992988,0.00017635431,1.0581768e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018647256,0.00042148615,0.9631923,0.00026625226,0.00001225463,0.000006606786,0.024879484,0.0000012029473,0.000057082354,0.0000413935,0.0000058736346,0.0109295985],"study_design_scores_gemma":[0.0016578581,0.00039641763,0.98626727,0.00012950512,0.00005128301,0.0000016979187,0.010513423,0.000002839965,0.0007471737,0.00013899615,0.000013748206,0.00007977636],"about_ca_topic_score_codex":0.014131885,"about_ca_topic_score_gemma":0.01927982,"teacher_disagreement_score":0.023074986,"about_ca_system_score_codex":0.000115454524,"about_ca_system_score_gemma":0.0015916629,"threshold_uncertainty_score":0.99861574},"labels":[],"label_agreement":null},{"id":"W1761892285","doi":"10.17269/cjph.105.4139","title":"Factors associated with active commuting among a nationally representative sample of Canadian youth","year":2014,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Centre for Addiction and Mental Health; University of Waterloo","funders":"Canadian Institutes of Health Research; Health Canada; Public Health Agency; Public Health Agency of Canada","keywords":"Sample (material); Geography; Demographic economics; Environmental health; Medicine; Economics","score_opus":0.1430661663605128,"score_gpt":0.3338286101858235,"score_spread":0.19076244382531068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1761892285","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98730314,0.000030086996,0.00031323914,0.00514719,0.00014581287,0.0001504465,0.0003559403,0.0000058491046,0.0065483097],"genre_scores_gemma":[0.99941933,0.00000267828,0.00007933898,0.00028981458,0.00008668461,7.037454e-7,0.00006363304,0.000009815844,0.000047972615],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975572,0.0007237719,0.00047545042,0.00012849834,0.00043238368,0.0006826832],"domain_scores_gemma":[0.99483204,0.0005438743,0.000798993,0.00011703694,0.0009553783,0.0027526799],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040468783,0.00010208238,0.0003208316,0.0008610133,0.0007873515,0.000093752744,0.00038563786,0.000085928696,0.00019099156],"category_scores_gemma":[0.0046916194,0.000086662025,0.000076326265,0.0011363283,0.00049230474,0.0005698119,0.000003386766,0.00032445186,2.2254129e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000014475468,0.000012073093,0.91002804,0.000004041578,0.00005113862,0.0000016721087,0.08687357,0.0000058866567,1.2260212e-7,0.0017106947,0.00019168532,0.0011196139],"study_design_scores_gemma":[0.0002352389,0.00008093286,0.9393368,0.000058197053,0.0000097088605,1.0560347e-7,0.0572973,0.000007252339,0.000003430737,0.00035144665,0.002535807,0.00008381182],"about_ca_topic_score_codex":0.9843579,"about_ca_topic_score_gemma":0.99945605,"teacher_disagreement_score":0.029576268,"about_ca_system_score_codex":0.0014806397,"about_ca_system_score_gemma":0.030709302,"threshold_uncertainty_score":0.9747857},"labels":[],"label_agreement":null},{"id":"W1762884380","doi":"10.1038/ijosup.2015.26","title":"Active school transport and weekday physical activity in 9–11-year-old children from 12 countries","year":2015,"lang":"en","type":"article","venue":"International Journal of Obesity Supplements","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":78,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Children's Hospital of Eastern Ontario","funders":"Canadian Institutes of Health Research; Coca-Cola Foundation","keywords":"Physical activity; Confidence interval; Demography; Sedentary behavior; Logistic regression; Medicine; Multilevel model; Screen time; Physical therapy; Internal medicine; Mathematics; Statistics","score_opus":0.01951500953032,"score_gpt":0.3185090133485869,"score_spread":0.2989940038182669,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1762884380","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99728996,0.000018580287,0.00008501472,0.0013570173,0.00041563663,0.00013965847,0.00034710128,0.000007801528,0.0003392448],"genre_scores_gemma":[0.998994,0.000034592133,0.00014560285,0.00006813824,0.0006037361,0.0000017288983,0.000034263026,0.0000057572174,0.00011216005],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982625,0.000096087824,0.00025908972,0.00016977958,0.0010299631,0.0001825758],"domain_scores_gemma":[0.99911183,0.00006499198,0.0002318654,0.000071926195,0.00029475134,0.0002246351],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005267881,0.000109135224,0.00022560156,0.00010926011,0.00007147294,0.00007344749,0.00042814578,0.000058323178,0.00037469476],"category_scores_gemma":[0.00007924143,0.000101481055,0.00008220136,0.00007134272,0.00014757324,0.0011534095,0.00003030376,0.00023240256,0.000007368758],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027786774,0.0004319682,0.9942829,0.0000011646619,0.000094476294,0.000028076945,0.0039778356,0.000002931588,0.0000331753,0.00013126829,0.0003814286,0.00035692047],"study_design_scores_gemma":[0.0017721805,0.000038838454,0.9927918,0.000029725901,0.000028599581,9.139073e-7,0.0008161453,0.0000049312703,0.00058806274,0.0019037876,0.0019276133,0.00009742377],"about_ca_topic_score_codex":0.016188107,"about_ca_topic_score_gemma":0.016525134,"teacher_disagreement_score":0.0031616902,"about_ca_system_score_codex":0.00028808843,"about_ca_system_score_gemma":0.00031482213,"threshold_uncertainty_score":0.9903632},"labels":[],"label_agreement":null},{"id":"W177452999","doi":"","title":"A profile of designated drivers and the people who use them: A survey of two provincial cities","year":2008,"lang":"en","type":"article","venue":"Centre for Accident Research & Road Safety - Qld (CARRS-Q); Faculty of Health; Institute of Health and Biomedical Innovation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Publicity; Quarter (Canadian coin); Sample (material); Demography; Psychology; Medicine; Environmental health; Geography; Business; Marketing; Sociology","score_opus":0.17346364809600098,"score_gpt":0.4167200920266264,"score_spread":0.24325644393062543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W177452999","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98399055,0.0003943119,0.00081466534,0.011079846,0.00014962317,0.0028169649,0.0006934477,0.000017129489,0.000043489068],"genre_scores_gemma":[0.9964654,0.0013786348,0.0007233093,0.00010310028,0.00004994614,0.000025954554,0.0011344849,0.000008710339,0.00011049271],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99446344,0.0010507324,0.0018922507,0.00037828408,0.0015196166,0.0006956839],"domain_scores_gemma":[0.9956217,0.00055501383,0.0010492746,0.0002214082,0.0022928247,0.00025977165],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.012345913,0.00017155455,0.0009009248,0.0003482227,0.0011748002,0.000022967295,0.00036473962,0.00016643768,0.00002900058],"category_scores_gemma":[0.0025182166,0.00012226021,0.00008374472,0.0021690316,0.00440117,0.0005438566,0.00009653681,0.00032199937,2.8111944e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0030617162,0.00061475986,0.86716986,0.002600987,0.00009615326,0.0000012398004,0.045168698,0.0000026207276,0.00014096021,0.013517516,0.0047788364,0.06284666],"study_design_scores_gemma":[0.0044917604,0.0005123859,0.9837839,0.00045075096,0.0000109930015,0.000001013079,0.005693722,0.00026261798,0.00022698895,0.0008531406,0.0035703108,0.00014242667],"about_ca_topic_score_codex":0.20057799,"about_ca_topic_score_gemma":0.022692453,"teacher_disagreement_score":0.17788553,"about_ca_system_score_codex":0.0001936745,"about_ca_system_score_gemma":0.005403684,"threshold_uncertainty_score":0.9983083},"labels":[],"label_agreement":null},{"id":"W1777530797","doi":"10.1038/ijosup.2015.25","title":"Are the correlates of active school transport context-specific?","year":2015,"lang":"en","type":"article","venue":"International Journal of Obesity Supplements","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":56,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Children's Hospital of Eastern Ontario","funders":"Canadian Institutes of Health Research; Coca-Cola Foundation","keywords":"Demography; Multilevel model; Context (archaeology); Odds; Odds ratio; Psychology; Medicine; Geography; Logistic regression; Statistics; Mathematics; Internal medicine","score_opus":0.04852023090943338,"score_gpt":0.3327674803429821,"score_spread":0.28424724943354873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1777530797","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940338,0.00020854773,0.00031352817,0.0024689105,0.0013407097,0.00012893222,0.000119122866,0.0000056021922,0.0013808054],"genre_scores_gemma":[0.9990316,0.00006294375,0.00007868192,0.00013677367,0.0003702152,0.0000012897757,0.000011210863,0.0000046794507,0.0003025865],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99801725,0.000093568975,0.00050544617,0.00009382468,0.0011506827,0.00013920451],"domain_scores_gemma":[0.9974723,0.000078007564,0.0007744885,0.00009071049,0.0014285352,0.00015598895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009063234,0.00008167676,0.00018273194,0.00008025027,0.00010283943,0.000035830162,0.0008543251,0.000048107748,0.0008937869],"category_scores_gemma":[0.00015938637,0.000058666352,0.00015495009,0.000102209946,0.0002155329,0.0005352907,0.000020897867,0.00020879935,0.00001169549],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021983379,0.0002222236,0.9885398,0.0000016159221,0.00014263758,0.00003201946,0.0043380777,0.000007635219,0.000019170659,0.00057858106,0.004643409,0.0012549737],"study_design_scores_gemma":[0.0011186511,0.000043169934,0.9184191,0.00004962878,0.00003189278,0.00000245656,0.017353022,0.0000018720526,0.0006559622,0.0028375625,0.059417214,0.00006942241],"about_ca_topic_score_codex":0.0008974434,"about_ca_topic_score_gemma":0.0017210745,"teacher_disagreement_score":0.07012068,"about_ca_system_score_codex":0.00017131647,"about_ca_system_score_gemma":0.00037954038,"threshold_uncertainty_score":0.978634},"labels":[],"label_agreement":null},{"id":"W1778224320","doi":"10.1016/j.pmedr.2015.09.005","title":"Does proximity to physical activity infrastructures predict maintenance of organized and unorganized physical activities in youth?","year":2015,"lang":"en","type":"article","venue":"Preventive Medicine Reports","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Vitalité Health Network; Dr. Georges-L.-Dumont University Hospital Centre; Université de Moncton; University of Ottawa; Université de Sherbrooke","funders":"Social Sciences and Humanities Research Council; Faculty of Medicine and Health, University of Sydney; Social Sciences and Humanities Research Council of Canada; Fondation de la recherche en santé du Nouveau-Brunswick; Université de Sherbrooke","keywords":"Physical activity; Hazard; Proportional hazards model; Baseline (sea); Hazard ratio; Affect (linguistics); Psychology; Demography; Gerontology; Medicine; Physical therapy; Biology; Internal medicine; Sociology; Confidence interval; Ecology; Communication","score_opus":0.018062198743345952,"score_gpt":0.3077204099742944,"score_spread":0.2896582112309484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1778224320","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99668556,0.000024562814,0.00023643345,0.00054540316,0.0003029413,0.0007691597,0.000016026153,0.00005563857,0.0013642914],"genre_scores_gemma":[0.9991556,0.000004731796,0.00006753892,0.000015488298,0.00039223593,0.000017973536,0.000006588478,0.000013749733,0.00032613106],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99798536,0.0002651226,0.00031067897,0.00046649252,0.00065888534,0.00031346615],"domain_scores_gemma":[0.99881834,0.00013884329,0.00031465254,0.00026113458,0.00020271866,0.0002643171],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009973146,0.00019381936,0.0006486448,0.00009466409,0.00008418862,0.000014599187,0.00014029152,0.00006663589,0.000026965627],"category_scores_gemma":[0.0012584982,0.00011566436,0.00005740774,0.000512628,0.00081398676,0.0004085457,0.00008340051,0.00021927485,3.0592787e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025474431,0.00046535674,0.85314965,0.0000659584,0.00004048204,0.000053632742,0.1358346,0.0000019094023,0.006613148,0.00010673233,0.00013032272,0.0032834373],"study_design_scores_gemma":[0.0010623608,0.00019198633,0.9514802,0.00021956174,0.00010157196,0.0000021477215,0.016320258,0.000016034179,0.014338342,0.015949667,0.00009650351,0.00022136595],"about_ca_topic_score_codex":0.0044007814,"about_ca_topic_score_gemma":0.0019790037,"teacher_disagreement_score":0.11951435,"about_ca_system_score_codex":0.000120946635,"about_ca_system_score_gemma":0.00030644643,"threshold_uncertainty_score":0.66526943},"labels":[],"label_agreement":null},{"id":"W1779926779","doi":"10.1068/a130070p","title":"Trip Generation of Seniors and the Geography of Walking in Montreal","year":2015,"lang":"en","type":"article","venue":"Environment and Planning A Economy and Space","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal; McMaster University","funders":"","keywords":"Travel behavior; Probit model; Ordered probit; Geography; Trip generation; Transit (satellite); Transport engineering; Component (thermodynamics); Probit; Public transport; Regional science; Computer science; TRIPS architecture; Engineering","score_opus":0.021728011353558622,"score_gpt":0.23208806456797051,"score_spread":0.2103600532144119,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1779926779","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99442863,0.0021003752,0.00004640306,0.0003062411,0.000015416983,0.00008499853,0.0000015636567,0.0000016709307,0.0030147203],"genre_scores_gemma":[0.99958086,0.00023804356,0.00007557828,0.000011184338,0.000030340503,0.0000023602734,0.0000020142181,0.0000010433748,0.00005859798],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996601,0.000051430492,0.000101397374,0.00008672454,0.00003850966,0.00006184199],"domain_scores_gemma":[0.9998143,0.00005553589,0.000058199297,0.000036364785,0.0000021889916,0.00003344258],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005675392,0.00003908581,0.0001045378,0.000026310248,0.00006055229,0.000012393919,0.000023701909,0.000030293848,0.000006633017],"category_scores_gemma":[0.0000073945234,0.000029337598,0.000012384905,0.000021773592,0.0002703476,0.0000918889,0.0000082265515,0.00003573694,7.6363115e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000332461,0.000007725794,0.98234564,0.00000461061,0.0000051876837,4.137668e-7,0.015595665,0.000051863535,0.000006240146,0.00028247014,0.0000167887,0.0016501228],"study_design_scores_gemma":[0.0009959844,0.000023877252,0.98892134,0.000012432362,0.000015323852,1.3029616e-7,0.005804833,0.0006206595,0.000062711035,0.0016612068,0.0018210342,0.00006044685],"about_ca_topic_score_codex":0.0022112054,"about_ca_topic_score_gemma":0.00046237936,"teacher_disagreement_score":0.009790832,"about_ca_system_score_codex":0.000004305249,"about_ca_system_score_gemma":0.000006071013,"threshold_uncertainty_score":0.33426958},"labels":[],"label_agreement":null},{"id":"W1782021287","doi":"10.1186/1476-072x-3-21","title":"Distance, rurality and the need for care: access to health services in South West England.","year":2004,"lang":"en","type":"article","venue":"International Journal of Health Geographics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":194,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Rurality; Census; Geography; Quarter (Canadian coin); Population; Medicine; Demography; Socioeconomics; Health geography; Rural area; Health care; Environmental health; Public health; Health policy; Economic growth; Nursing; International health","score_opus":0.02262776097775299,"score_gpt":0.36826346715364056,"score_spread":0.34563570617588757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1782021287","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88966465,0.0032212439,0.0023993705,0.10303711,0.0009421104,0.0005872327,0.00006407841,0.000010670355,0.00007351804],"genre_scores_gemma":[0.99343777,0.00074710645,0.00033080054,0.0051270826,0.000328353,0.000010413598,0.000009623832,0.00000531544,0.0000035174887],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998144,0.00017435143,0.00070276996,0.00013735294,0.0005733508,0.00026821074],"domain_scores_gemma":[0.998505,0.00015756987,0.0005640231,0.000083344254,0.0005056725,0.00018442262],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030794714,0.00008885001,0.00027341282,0.00021355432,0.00035564677,0.0002047033,0.00069231517,0.00004432921,0.0000051120364],"category_scores_gemma":[0.00006426285,0.00006239971,0.00010623393,0.00034272185,0.00020465771,0.00039490982,0.000032262913,0.00021067819,2.6534778e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004687937,0.00006342122,0.9070462,0.00010721391,0.000027813245,0.000002411655,0.07504875,0.00010553551,1.1699136e-7,0.010180708,0.000015508786,0.0069335494],"study_design_scores_gemma":[0.0044713225,0.000102226855,0.9472024,0.00030678493,0.000007118612,0.0000014281799,0.013238722,0.0000056962413,0.0000010978996,0.017254332,0.017318226,0.00009064024],"about_ca_topic_score_codex":0.016682051,"about_ca_topic_score_gemma":0.09762079,"teacher_disagreement_score":0.10377312,"about_ca_system_score_codex":0.00019415247,"about_ca_system_score_gemma":0.0007208341,"threshold_uncertainty_score":0.98986596},"labels":[],"label_agreement":null},{"id":"W1793073788","doi":"10.7202/1026695ar","title":"La construction sociale de la mobilité durable urbaine : les discours sur les enjeux du transport dans la ville de Québec","year":2014,"lang":"fr","type":"article","venue":"Recherches sociographiques","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.04348835458295349,"score_gpt":0.3130820390666625,"score_spread":0.269593684483709,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1793073788","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9537904,0.0074532693,0.003815025,0.014536702,0.00019272948,0.000332309,0.0000684514,0.00040325092,0.019407809],"genre_scores_gemma":[0.98455924,0.00967312,0.003242627,0.00008688882,0.0006332473,0.000081947095,0.00003231428,0.00007580417,0.0016147876],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99091023,0.006483692,0.00062984193,0.000672833,0.00041953448,0.0008838846],"domain_scores_gemma":[0.9951541,0.00356386,0.0002999367,0.00033902272,0.00030224898,0.00034084843],"candidate_categories":["metaepi_narrow","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.009166072,0.00048694992,0.000647509,0.00016480208,0.0009910436,0.00016184522,0.00056573673,0.0018628646,0.00030967823],"category_scores_gemma":[0.000743515,0.000505752,0.000855995,0.00085575145,0.008331859,0.0006445339,0.000027081753,0.0013265226,0.000004134893],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039629478,0.0004859328,0.8534129,0.00029631832,0.00016086515,0.000013195015,0.09675922,0.000011691078,0.0006339902,0.027095815,0.00026565322,0.020824788],"study_design_scores_gemma":[0.00056537904,0.00009232496,0.8319195,0.00030772595,0.00040109904,0.000013757623,0.039974388,0.00007522489,0.0008171778,0.09178995,0.033352386,0.000691084],"about_ca_topic_score_codex":0.7216857,"about_ca_topic_score_gemma":0.5954289,"teacher_disagreement_score":0.12625682,"about_ca_system_score_codex":0.002072454,"about_ca_system_score_gemma":0.0020599233,"threshold_uncertainty_score":0.9997394},"labels":[],"label_agreement":null},{"id":"W1794727333","doi":"","title":"Breaking Barriers with Building Blocks: The Story of the City of Edmonton’s Award-Winning Bicycle Education Videos","year":2015,"lang":"en","type":"article","venue":"ITE journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Pedestrian; Transport engineering; Plan (archaeology); Cycling; Work (physics); Engineering; Business; Geography","score_opus":0.022954547291558415,"score_gpt":0.305304813388727,"score_spread":0.28235026609716857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1794727333","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9937631,0.0004260618,0.00025545375,0.002107586,0.0004589144,0.000107364525,0.0000017769873,0.00000829052,0.0028714356],"genre_scores_gemma":[0.999034,0.0000060316315,0.00025025028,0.00008929936,0.0003809229,0.0000016282478,1.2250693e-7,0.0000054511856,0.00023231543],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99867755,0.00027099627,0.00023393612,0.00009210804,0.0005549164,0.00017049229],"domain_scores_gemma":[0.9988888,0.000093239134,0.0004140831,0.00016461589,0.000303882,0.00013541663],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026062506,0.000068271445,0.00012474258,0.000044163706,0.0007431578,0.000052792628,0.00043127264,0.000044344062,0.000048845235],"category_scores_gemma":[0.00032345363,0.0000367625,0.00008378764,0.00029774942,0.00037253508,0.00033670495,0.000020004873,0.0003547089,1.8342358e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002546799,0.000028415916,0.97067577,0.000005858991,0.00002198521,5.029537e-7,0.024371786,0.00009372659,0.0005235883,0.000096486794,0.0005053981,0.0036510117],"study_design_scores_gemma":[0.0002976628,0.0000317396,0.95279217,0.00023322161,0.00007775603,0.000006241879,0.032529186,0.000028072538,0.0013096471,0.0018841344,0.010703342,0.0001068567],"about_ca_topic_score_codex":0.0022209052,"about_ca_topic_score_gemma":0.0015679385,"teacher_disagreement_score":0.017883632,"about_ca_system_score_codex":0.00014253025,"about_ca_system_score_gemma":0.0015540635,"threshold_uncertainty_score":0.5715844},"labels":[],"label_agreement":null},{"id":"W1797118325","doi":"10.7202/1031167ar","title":"Intégration des transports et de l’aménagement du territoire au niveau métropolitain à Toronto et à Chicago : perspectives de gouvernance verticale et horizontale","year":2015,"lang":"fr","type":"article","venue":"Cahiers de géographie du Québec","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"","keywords":"Political science; Humanities; Art","score_opus":0.011107697860563903,"score_gpt":0.26064521997470674,"score_spread":0.24953752211414285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1797118325","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94123363,0.011870716,0.013454481,0.016577981,0.0005755834,0.00049219286,0.00006657917,0.00017867758,0.0155501235],"genre_scores_gemma":[0.99017715,0.0029637387,0.002040846,0.001095454,0.0004987729,0.000089491885,0.00003529747,0.00005375771,0.0030454772],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9959177,0.0010587404,0.00051255047,0.00074536644,0.00055503857,0.0012106125],"domain_scores_gemma":[0.99802595,0.00019723743,0.00020073273,0.00041326354,0.00022659286,0.00093621545],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0028422445,0.0004547957,0.00045764033,0.00011249156,0.0007794393,0.00017275146,0.0005714075,0.00047747738,0.00016731769],"category_scores_gemma":[0.00032871493,0.0004884429,0.00044829873,0.00066108233,0.010098287,0.0016234634,0.000034073793,0.0006351739,0.000007768416],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016272998,0.00076768105,0.65001833,0.00009135891,0.00013846457,0.000113181784,0.2300032,0.000052106963,0.00008458655,0.11072737,0.0030135557,0.00482744],"study_design_scores_gemma":[0.0010274355,0.00034953558,0.86796695,0.00017364553,0.000278432,0.000010034515,0.06712798,0.00011022777,0.000077831,0.017767048,0.04447895,0.00063194206],"about_ca_topic_score_codex":0.688575,"about_ca_topic_score_gemma":0.9653817,"teacher_disagreement_score":0.27680665,"about_ca_system_score_codex":0.009573102,"about_ca_system_score_gemma":0.004926072,"threshold_uncertainty_score":0.9997567},"labels":[],"label_agreement":null},{"id":"W179977067","doi":"10.1123/japa.17.2.181","title":"Factors Influencing the Physical Activity of Older Adults in Long-Term Care: Administrators’ Perspectives","year":2009,"lang":"en","type":"article","venue":"Journal of Aging and Physical Activity","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Ottawa","funders":"University of Ottawa","keywords":"Staffing; Long-term care; Physical activity; Qualitative research; Built environment; Psychology; Gerontology; Business; Nursing; Public relations; Medicine; Political science; Sociology; Physical therapy; Engineering","score_opus":0.01824022386108187,"score_gpt":0.32484179947775593,"score_spread":0.30660157561667406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W179977067","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990463,0.000113135546,0.000019458732,0.00041765024,0.000054241726,0.000106062536,0.0000042399633,0.000008918698,0.00022998336],"genre_scores_gemma":[0.99960405,0.000014897017,0.0000035011676,0.000007230992,0.0003602849,4.989949e-7,1.9159053e-7,0.000004202582,0.00000517213],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988802,0.00018647013,0.0001355892,0.00018009395,0.00040096958,0.00021669865],"domain_scores_gemma":[0.9990735,0.00027106807,0.00029968383,0.00011456069,0.00012864849,0.00011251942],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002484255,0.00014151646,0.0003769156,0.000050609502,0.0002033706,0.00005325739,0.00020020272,0.000049809856,0.000003338687],"category_scores_gemma":[0.000055905828,0.000089648864,0.00020009793,0.0002568902,0.0003107893,0.0006663132,0.000014804451,0.00049976516,1.1956863e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016855678,0.0017521577,0.6764849,0.00006300861,0.00003258889,0.000010646478,0.26157779,0.0000063333796,0.00219387,0.0001691131,0.000002470843,0.057538595],"study_design_scores_gemma":[0.00030272003,0.00014614208,0.98180956,0.00013373797,0.00003312517,3.0043205e-7,0.009281332,0.000017111768,0.007912739,0.00026141317,0.000002414739,0.000099423145],"about_ca_topic_score_codex":0.00058656954,"about_ca_topic_score_gemma":0.00024674836,"teacher_disagreement_score":0.30532467,"about_ca_system_score_codex":0.00011936287,"about_ca_system_score_gemma":0.00019480786,"threshold_uncertainty_score":0.36557746},"labels":[],"label_agreement":null},{"id":"W1817029514","doi":"10.1007/s13679-015-0181-8","title":"Built Environment Features that Promote Cycling in School-Aged Children","year":2015,"lang":"en","type":"review","venue":"Current Obesity Reports","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Children's Hospital of Eastern Ontario","funders":"Canadian Institutes of Health Research","keywords":"Cycling; Recreation; Odds; Psychological intervention; Psychology; Built environment; Gerontology; Applied psychology; Medicine; Geography; Engineering; Political science; Psychiatry; Logistic regression","score_opus":0.08232956108588443,"score_gpt":0.37519063877282793,"score_spread":0.29286107768694347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1817029514","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.037673563,0.95736426,0.000006521001,0.000018232502,0.0014438349,0.002295703,0.000027638953,0.0001258745,0.0010443401],"genre_scores_gemma":[0.010903647,0.98705715,0.000045724755,0.0000045746806,0.0007303469,0.000093296345,0.0004383996,0.000042278418,0.000684576],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9952822,0.00048185303,0.0011207154,0.0011955765,0.0012149843,0.00070467265],"domain_scores_gemma":[0.997417,0.00004387731,0.0010679456,0.00092780683,0.000039041155,0.00050433166],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0030800304,0.00057279214,0.0017121106,0.0002076081,0.00036756633,0.00019606049,0.0006043208,0.0005359155,0.00026490138],"category_scores_gemma":[0.00021417283,0.00049253774,0.0006083405,0.00030797577,0.00027073483,0.0003708429,0.00016473813,0.0013448705,0.00006742056],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000016351574,0.00039490472,0.6220615,0.0016164675,0.000039012444,0.00014559344,0.00062608917,5.597242e-7,3.4241527e-8,0.0000021478747,0.0008453522,0.37426674],"study_design_scores_gemma":[0.000086663655,0.000008210582,0.24033344,0.0041846815,0.00032388745,0.000013958814,0.000019264084,5.1209906e-8,4.7371634e-7,0.00046760327,0.754027,0.00053475547],"about_ca_topic_score_codex":0.001752346,"about_ca_topic_score_gemma":0.001998314,"teacher_disagreement_score":0.75318164,"about_ca_system_score_codex":0.00077902887,"about_ca_system_score_gemma":0.0011975804,"threshold_uncertainty_score":0.99975264},"labels":[],"label_agreement":null},{"id":"W1817711849","doi":"10.1016/j.jtrangeo.2015.09.008","title":"Identifying public transport gaps using time-dependent accessibility levels","year":2015,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":246,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Agentschap voor Innovatie door Wetenschap en Technologie","keywords":"Public transport; Destinations; Demographics; Index (typography); Transport engineering; Schedule; Geography; Population; Distribution (mathematics); Business; Regional science; Computer science; Tourism; Engineering; Sociology; Demography","score_opus":0.10402141662839756,"score_gpt":0.3470727436079572,"score_spread":0.24305132697955964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1817711849","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.986321,0.0011806628,0.006856155,0.00051394163,0.0011865903,0.00032079,0.000059325244,0.00009716019,0.0034644282],"genre_scores_gemma":[0.99684167,0.00007244811,0.0021777006,0.0000987515,0.0006053753,0.0000028901588,0.000013477484,0.00003535961,0.00015233293],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9945273,0.00026795053,0.0016862137,0.00048137142,0.0022061395,0.00083104015],"domain_scores_gemma":[0.9962986,0.00006537341,0.00095148763,0.00042636786,0.0011891278,0.0010690457],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.006196705,0.00035043614,0.0007964235,0.00071196194,0.0005415103,0.0001638617,0.001253502,0.0003006432,0.0008104844],"category_scores_gemma":[0.000066804525,0.000317557,0.0010241232,0.0014109814,0.000630128,0.0031251714,0.000013293862,0.0006748815,0.000011380644],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013127323,0.0004091098,0.99350995,0.000051500432,0.0001651503,0.00018432613,0.004006957,0.000058209487,0.00047215304,0.000051872274,0.000048209156,0.0009112695],"study_design_scores_gemma":[0.001614928,0.000106611405,0.9843918,0.00013061409,0.00041923247,0.00001597039,0.0020369852,0.000012718823,0.00045320168,0.0049870545,0.0053189523,0.00051190174],"about_ca_topic_score_codex":0.0012603415,"about_ca_topic_score_gemma":0.0016536522,"teacher_disagreement_score":0.010520718,"about_ca_system_score_codex":0.00019985087,"about_ca_system_score_gemma":0.0014099107,"threshold_uncertainty_score":0.99992764},"labels":[],"label_agreement":null},{"id":"W181982651","doi":"","title":"Urban sprawl and its relationship with active transportation, physical activity and obesity in Canadian youth.","year":2012,"lang":"en","type":"article","venue":"PubMed","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Queen's University","funders":"","keywords":"Urban sprawl; Overweight; Obesity; Odds; Demography; Geography; Metropolitan area; Environmental health; Odds ratio; Population; Logistic regression; Medicine; Population health; Active living; Gerontology; Physical activity; Urban planning; Physical therapy; Ecology; Sociology; Biology; Endocrinology; Internal medicine","score_opus":0.03386279024104465,"score_gpt":0.2554272304532895,"score_spread":0.22156444021224486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W181982651","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99619853,0.00007253828,0.000002410226,0.00036492661,0.000033725526,0.00045865,0.00004469414,0.000018405643,0.0028061045],"genre_scores_gemma":[0.9996567,0.0000038074022,0.000004386146,0.000017593331,0.000092167786,0.00008868135,0.000008448976,0.0000047838507,0.0001234673],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99916375,0.000069950365,0.000060238137,0.00016097019,0.00013465715,0.00041041806],"domain_scores_gemma":[0.99939126,0.00006788373,0.000035013472,0.000055528893,0.000027517453,0.00042280715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003700943,0.000073723946,0.0001074507,0.000056457207,0.00024911895,0.000026898388,0.000049082155,0.000062253566,0.0000045243287],"category_scores_gemma":[0.000053002528,0.0000666745,0.000013700136,0.0002364182,0.0001313518,0.0008439229,0.0000016134039,0.00013255677,6.530625e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020763848,0.000060887563,0.9642954,0.000006226578,0.0000043148198,7.8286115e-7,0.03193992,1.3703723e-7,6.3371533e-7,0.0010629649,0.000003361184,0.0026046112],"study_design_scores_gemma":[0.00017264255,0.0000031045195,0.9979827,0.0000028548052,0.00002338243,3.8454186e-8,0.0014088645,0.0000019849185,0.0000593568,0.00011075956,0.00014204656,0.000092270355],"about_ca_topic_score_codex":0.28570294,"about_ca_topic_score_gemma":0.87930155,"teacher_disagreement_score":0.5935986,"about_ca_system_score_codex":0.00010417534,"about_ca_system_score_gemma":0.00010621778,"threshold_uncertainty_score":0.7190536},"labels":[],"label_agreement":null},{"id":"W1820064509","doi":"10.1111/j.1541-0064.2012.00477.x","title":"Spatial and environmental impacts on adverse birth outcomes in Ontario","year":2013,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"Instituto de Sistemas Complejos de Ingeniería","keywords":"Neighbourhood (mathematics); Environmental health; Spatial analysis; Statistic; Geography; Scan statistic; Low birth weight; Spatial epidemiology; Demography; Psychological intervention; Medicine; Epidemiology; Statistics; Pregnancy","score_opus":0.007544386270711117,"score_gpt":0.19487403166086692,"score_spread":0.1873296453901558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1820064509","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99232215,0.0002340827,1.7245706e-7,0.0010982637,0.00039486782,0.0006604457,0.00012201184,0.00005078027,0.005117208],"genre_scores_gemma":[0.9979105,0.00028177368,0.00002078053,0.00063856295,0.00005091246,0.00007420143,0.0000535714,0.000023810617,0.0009458655],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974573,0.00008273258,0.00035082144,0.0005380518,0.00029039627,0.0012806951],"domain_scores_gemma":[0.9979203,0.00010097741,0.000086734886,0.00033453002,0.000029051338,0.0015284122],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00023119054,0.00034084433,0.0003716707,0.0022887255,0.00076105463,0.0001314131,0.00034723486,0.00020213472,0.0013525217],"category_scores_gemma":[0.000047828154,0.00033404224,0.00018013974,0.0010991221,0.0019553958,0.0005612041,0.000020597106,0.00033323362,0.000019338828],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009032253,0.000035283316,0.99027616,0.0000071088202,0.000037639267,0.000045227338,0.006217505,0.0000010773845,0.0000042769984,0.00063924154,0.0003356115,0.0023918299],"study_design_scores_gemma":[0.00035721378,0.000076200304,0.9666155,0.000021853662,0.00001493327,8.1631214e-7,0.013929246,0.0000015666194,0.0000024940512,0.0010954011,0.01749424,0.0003905567],"about_ca_topic_score_codex":0.9994456,"about_ca_topic_score_gemma":0.999997,"teacher_disagreement_score":0.02366069,"about_ca_system_score_codex":0.0004130711,"about_ca_system_score_gemma":0.0004121933,"threshold_uncertainty_score":0.9999112},"labels":[],"label_agreement":null},{"id":"W1829626006","doi":"10.1186/s12889-015-2224-1","title":"Older adults’ outdoor walking and the built environment: does income matter?","year":2015,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":61,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University; University of British Columbia","funders":"SFU Community Trust Endowment Fund; Social Sciences and Humanities Research Council of Canada; Canadian Institutes of Health Research; Simon Fraser University; Michael Smith Health Research BC","keywords":"Walkability; Socioeconomic status; Neighbourhood (mathematics); Biostatistics; Odds; Medicine; Logistic regression; Gerontology; Cross-sectional study; Environmental health; Demography; Built environment; Household income; Level design; Odds ratio; Epidemiology; Physical activity; Geography; Physical therapy; Population","score_opus":0.03732022611933673,"score_gpt":0.30743193532281266,"score_spread":0.27011170920347594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1829626006","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9494025,0.00080585876,0.0005991868,0.044257835,0.00028828977,0.0005636244,0.0000104997935,0.00006577526,0.004006426],"genre_scores_gemma":[0.9968313,0.0000564182,0.00030602654,0.0016360418,0.00026369595,0.000029058676,0.000006196065,0.000009021092,0.0008622614],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980182,0.0005040693,0.00030306246,0.00027912037,0.00041211248,0.00048343002],"domain_scores_gemma":[0.9989638,0.00013686933,0.00013588477,0.00027031192,0.000030440993,0.00046269968],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041380245,0.00010225638,0.00020204776,0.00004100552,0.0005249891,0.0001903239,0.0003203644,0.00006495509,0.00033255725],"category_scores_gemma":[0.00012398335,0.000057357604,0.000044765402,0.00014193618,0.00057335594,0.00041066742,0.0000585096,0.00014232482,0.00005932537],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017540093,0.00004182211,0.95571196,0.000045586636,0.0000038507937,3.6075105e-7,0.034196254,8.840985e-8,4.255315e-8,0.0018059553,0.00046718068,0.0077093765],"study_design_scores_gemma":[0.0013184643,0.000012723494,0.9431044,0.000023125784,0.0000036442893,2.718072e-7,0.010659678,0.000024724717,4.7373365e-7,0.0020799197,0.04266002,0.00011253981],"about_ca_topic_score_codex":0.015852023,"about_ca_topic_score_gemma":0.010374554,"teacher_disagreement_score":0.047428776,"about_ca_system_score_codex":0.00015894219,"about_ca_system_score_gemma":0.0005531733,"threshold_uncertainty_score":0.9907015},"labels":[],"label_agreement":null},{"id":"W1830631585","doi":"10.7202/1031168ar","title":"Marchabilité des environnements urbains autour des résidences pour personnes âgées de la région de Montréal : application de l’audit MAPPA","year":2015,"lang":"fr","type":"article","venue":"Cahiers de géographie du Québec","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.012637501182031033,"score_gpt":0.23942828500431315,"score_spread":0.22679078382228213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1830631585","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95556146,0.017421693,0.014902574,0.008364329,0.00017542287,0.0004884353,0.00003274958,0.00019709457,0.0028562467],"genre_scores_gemma":[0.98471564,0.0021449046,0.006549057,0.00033177808,0.00072476355,0.00019933414,0.000015184681,0.00005324981,0.0052661095],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9956153,0.0012166903,0.00051560183,0.0007223313,0.00053372385,0.0013963789],"domain_scores_gemma":[0.997398,0.0006937147,0.00028226752,0.0004285564,0.00017326794,0.0010242003],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0035168554,0.0004518249,0.00041759832,0.0002697379,0.001484036,0.00020418564,0.000840921,0.00069361593,0.00018203011],"category_scores_gemma":[0.0006929831,0.000480501,0.00043274852,0.001131845,0.021744357,0.00070560066,0.000058000333,0.00062064733,0.00006182239],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000092162496,0.0004660531,0.8863085,0.00018454017,0.00010034008,0.0000512737,0.072661705,0.0001713577,0.0007433399,0.006647313,0.0031025372,0.029470917],"study_design_scores_gemma":[0.0007846376,0.00014849441,0.76491624,0.00014828266,0.000326994,0.000026801257,0.029146671,0.0010294447,0.00026091398,0.17007646,0.03251669,0.0006183654],"about_ca_topic_score_codex":0.34648705,"about_ca_topic_score_gemma":0.5362515,"teacher_disagreement_score":0.18976443,"about_ca_system_score_codex":0.0029619534,"about_ca_system_score_gemma":0.0025653057,"threshold_uncertainty_score":0.9998159},"labels":[],"label_agreement":null},{"id":"W183521277","doi":"10.1007/978-94-007-2123-4_14","title":"Mobility Management Solutions to Transport Problems Around the World","year":2011,"lang":"en","type":"book-chapter","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Transport Canada","funders":"","keywords":"Business; Environmental planning; Environmental science","score_opus":0.0682834029947715,"score_gpt":0.28201080017543256,"score_spread":0.21372739718066108,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W183521277","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00021605595,0.0001659538,0.0009923415,0.0015877199,0.0003953365,0.002035183,0.00004171894,0.0001955658,0.9943701],"genre_scores_gemma":[0.12748009,0.00008096837,0.0001816427,0.00037433865,0.0002494142,0.000102495855,0.000023319186,0.000024563615,0.87148315],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977979,0.000028195596,0.0004739856,0.0006149685,0.00057942374,0.0005055458],"domain_scores_gemma":[0.99879855,0.000042740707,0.00011113786,0.00073076173,0.00010035115,0.00021648445],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011576198,0.00029200604,0.00030147377,0.00011660906,0.00090542005,0.00005975558,0.00085465435,0.00018183334,0.010446633],"category_scores_gemma":[0.0000026780924,0.00020528832,0.0003003018,0.00014288853,0.00061738066,0.00016330274,0.000049622187,0.00034133965,0.00038377353],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000147516785,0.00010254504,0.0037240908,0.000066481014,0.000110323395,0.0000069347184,0.0025884167,0.000004367651,2.489392e-7,0.9839388,0.005287737,0.004155305],"study_design_scores_gemma":[0.000061617044,0.000012906547,0.012621407,0.00005779462,0.00014192417,4.21305e-8,0.00017972135,3.3784306e-7,7.659613e-7,0.14372176,0.842916,0.0002856823],"about_ca_topic_score_codex":0.0045154793,"about_ca_topic_score_gemma":0.27545565,"teacher_disagreement_score":0.84021705,"about_ca_system_score_codex":0.000172817,"about_ca_system_score_gemma":0.00012754116,"threshold_uncertainty_score":0.99045795},"labels":[],"label_agreement":null},{"id":"W1835308397","doi":"10.7202/1014552ar","title":"Évaluer les impacts sociaux des politiques de mobilité urbaine : de l’accessibilité spatiale à l’accessibilité sociale","year":2013,"lang":"fr","type":"article","venue":"Cahiers de géographie du Québec","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Geography; Art","score_opus":0.023903594588063477,"score_gpt":0.27977631267336356,"score_spread":0.2558727180853001,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1835308397","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94576216,0.02264288,0.0011925341,0.014532842,0.0006883916,0.0014942044,0.000121727804,0.00059286883,0.012972367],"genre_scores_gemma":[0.9726512,0.0021793721,0.0020843528,0.0018888701,0.0021218646,0.00039185135,0.000043299162,0.00017938283,0.018459836],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9898429,0.0021661217,0.0015953038,0.0015799374,0.00092828996,0.003887443],"domain_scores_gemma":[0.9934848,0.0014200035,0.0007467094,0.001115942,0.001071298,0.0021612335],"candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.004440473,0.0011044014,0.0012586984,0.00051605114,0.0029894211,0.0008559269,0.0018826828,0.0019779634,0.00453676],"category_scores_gemma":[0.0019817774,0.0011469348,0.0014728906,0.0027715722,0.033598468,0.0028736058,0.00015708742,0.0017535961,0.00012792429],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.00007101444,0.0009860779,0.8820526,0.00066308276,0.00029415145,0.00004544904,0.042763073,0.00001937017,0.00061708415,0.018825166,0.0047380105,0.04892492],"study_design_scores_gemma":[0.0009209713,0.00018521555,0.8229431,0.00028137004,0.00042717526,0.000010038706,0.008829028,0.00017100525,0.0007959566,0.15447254,0.009769171,0.0011944422],"about_ca_topic_score_codex":0.7352629,"about_ca_topic_score_gemma":0.5666921,"teacher_disagreement_score":0.16857071,"about_ca_system_score_codex":0.0051509365,"about_ca_system_score_gemma":0.008504487,"threshold_uncertainty_score":0.9993177},"labels":[],"label_agreement":null},{"id":"W1835905298","doi":"10.1080/23249935.2015.1073405","title":"An econometric investigation on the relationship between modal accessibility and the home–work spatial configuration of two-commuter households","year":2015,"lang":"en","type":"article","venue":"Transportmetrica A Transport Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Work (physics); Central business district; Modal; Geography; Transport engineering; Land use; Mode choice; Spatial configuration; Business; Demographic economics; Economics; Public transport; Engineering; Civil engineering; Mathematics","score_opus":0.14185228654191245,"score_gpt":0.3314599819866137,"score_spread":0.18960769544470124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1835905298","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9865278,0.00009920454,0.0081997495,0.0020137406,0.00020088973,0.0010609523,0.00006194346,0.0000982632,0.0017374547],"genre_scores_gemma":[0.9993201,0.000012755865,0.0002221006,0.00015229508,0.00015111374,0.000047420817,0.00004671226,0.000016161817,0.00003135193],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99580276,0.00044445266,0.00093347963,0.00073294487,0.0015717859,0.000514556],"domain_scores_gemma":[0.99621856,0.0016508723,0.00042667895,0.0008461423,0.0003600147,0.0004977588],"candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.01035264,0.00026641783,0.00046483442,0.00054196693,0.0013137714,0.00017101766,0.0015105543,0.00015098216,0.000050140217],"category_scores_gemma":[0.00051053433,0.00016715609,0.00014958915,0.0078025945,0.00863796,0.0017206108,0.000009808053,0.00046060138,0.000004470627],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016459134,0.000081910024,0.9668227,0.000011925808,0.000009021988,0.0000011265435,0.00984826,0.00011874017,0.000008790943,0.02143936,0.0000037928487,0.0014897905],"study_design_scores_gemma":[0.0013600776,0.000104267456,0.9806625,0.000020622105,0.00009887829,1.335447e-7,0.00055000006,0.00006735859,0.0004593012,0.016412599,0.0000451603,0.00021905184],"about_ca_topic_score_codex":0.0052597914,"about_ca_topic_score_gemma":0.001247685,"teacher_disagreement_score":0.01383986,"about_ca_system_score_codex":0.00015890629,"about_ca_system_score_gemma":0.000971528,"threshold_uncertainty_score":0.9999864},"labels":[],"label_agreement":null},{"id":"W1840757467","doi":"10.17269/cjph.106.4720","title":"Bâtir un Canada en santé: traduire les connaissances scientifiques en action et en prévention","year":2015,"lang":"fr","type":"article","venue":"Canadian Journal of Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Philosophy","score_opus":0.14733635253434202,"score_gpt":0.3759434275584649,"score_spread":0.22860707502412286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1840757467","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78351295,0.025571052,0.00094858144,0.17995782,0.006939134,0.0002548256,0.00016022444,0.000013338437,0.002642069],"genre_scores_gemma":[0.99425364,0.0008652852,0.00025419606,0.0010485303,0.0013727781,0.000002353508,0.000024436202,0.000016711425,0.002162044],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9939342,0.0030899511,0.00088314165,0.00028006866,0.0007983651,0.00101425],"domain_scores_gemma":[0.99398893,0.00021570448,0.00074229226,0.00016684819,0.0006591182,0.0042271195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013663369,0.00020220855,0.00042467596,0.00030512462,0.0007757961,0.0003570049,0.00060872623,0.00022147366,0.00079026184],"category_scores_gemma":[0.0010633881,0.00020156977,0.00013737897,0.00093632773,0.00064723176,0.0018714863,0.000007948752,0.0006782079,0.0000044291305],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.000010415366,0.00010029591,0.38785458,0.0002814223,0.000098032775,0.0001290928,0.06253043,0.000017991972,0.000003994159,0.012055227,0.09306303,0.4438555],"study_design_scores_gemma":[0.00033853587,0.00013736499,0.29384357,0.00024703148,0.00002218605,0.000022227636,0.025238374,0.000030336498,0.000016631486,0.0016305337,0.6782806,0.00019264003],"about_ca_topic_score_codex":0.9801856,"about_ca_topic_score_gemma":0.9994626,"teacher_disagreement_score":0.58521754,"about_ca_system_score_codex":0.006086652,"about_ca_system_score_gemma":0.111304864,"threshold_uncertainty_score":0.9977288},"labels":[],"label_agreement":null},{"id":"W184399705","doi":"10.1016/j.amepre.2013.01.033","title":"Neighborhood Walkability","year":2013,"lang":"en","type":"article","venue":"American Journal of Preventive Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":66,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University Health Centre","funders":"Canadian Institutes of Health Research","keywords":"Walkability; Audit; Environmental health; Built environment; Level design; Data collection; Geography; Medicine; Transport engineering; Statistics; Physical activity; Business; Computer science; Physical therapy; Mathematics; Accounting; Engineering","score_opus":0.011815972160027936,"score_gpt":0.31208909723409733,"score_spread":0.3002731250740694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W184399705","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9681699,0.00030437976,0.002239513,0.010414401,0.00037985074,0.0001870876,9.3053836e-7,0.000014039128,0.018289866],"genre_scores_gemma":[0.9979035,0.000054397966,0.00039480458,0.00034249842,0.0006901506,0.0000031008997,6.396871e-7,0.0000059025165,0.0006050091],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982447,0.00036719296,0.0005055122,0.00012824564,0.00051620114,0.00023814516],"domain_scores_gemma":[0.998275,0.00022938679,0.00058451324,0.00014253492,0.0005068826,0.0002617291],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015051948,0.00009539568,0.00039268562,0.00008343005,0.00012972452,0.000015113605,0.00034802064,0.000023181925,0.003962121],"category_scores_gemma":[0.00051795965,0.0000645059,0.00012336529,0.00043454676,0.0018397592,0.00041753374,0.0000127713665,0.00021987181,0.000023162505],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029278843,0.0001491178,0.73770624,0.0000070948927,0.00006470653,0.000007825047,0.009720637,3.2989445e-7,0.00028374314,0.0005952742,0.0030207871,0.24841493],"study_design_scores_gemma":[0.00062271627,0.00086698204,0.94896346,0.000091013266,0.00009204003,0.0000032617518,0.017367734,0.0000032283867,0.00005688708,0.021170493,0.010629672,0.00013250875],"about_ca_topic_score_codex":0.0038232706,"about_ca_topic_score_gemma":0.0001972896,"teacher_disagreement_score":0.24828243,"about_ca_system_score_codex":0.00008131779,"about_ca_system_score_gemma":0.00016438702,"threshold_uncertainty_score":0.9969484},"labels":[],"label_agreement":null},{"id":"W1846520182","doi":"10.1111/j.1755-618x.2010.01227.x","title":"Cars before Kids: Automobility and the Illusion of School Traffic Safety","year":2010,"lang":"fr","type":"article","venue":"Canadian Review of Sociology/Revue canadienne de sociologie","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Context (archaeology); Humanities; Sociology; Political science; Geography; Art","score_opus":0.02464222422534974,"score_gpt":0.2770545694140509,"score_spread":0.25241234518870115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1846520182","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8256272,0.1297492,0.0000030798408,0.03932231,0.0017794638,0.0012639031,0.0008047487,0.000026812775,0.0014233118],"genre_scores_gemma":[0.96327084,0.032439217,0.00019554609,0.00265947,0.0004663778,0.00006107428,0.000090364454,0.000027224016,0.0007899085],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9945997,0.0015591078,0.0013365422,0.0007308879,0.000121398516,0.0016523894],"domain_scores_gemma":[0.9952049,0.0010851762,0.0007540322,0.0008846995,0.00051153876,0.0015596315],"candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.009613192,0.00043680402,0.0016264743,0.00010737411,0.0008511564,0.000012112754,0.0012132593,0.0013093296,0.0015125937],"category_scores_gemma":[0.0047484944,0.0003541511,0.00066879706,0.00048011454,0.02534764,0.00019221763,0.000076213786,0.0017377217,0.000009988605],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007393639,0.00011649562,0.6542524,0.015329547,0.00047933383,0.000065646316,0.10875193,0.00001584742,0.000075997625,0.1197792,0.0033587315,0.09770092],"study_design_scores_gemma":[0.0012035618,0.00020471908,0.87216777,0.0032837817,0.00079708634,0.000017274418,0.018267559,0.00010352453,0.0000032315133,0.027218439,0.076123655,0.0006094019],"about_ca_topic_score_codex":0.2359995,"about_ca_topic_score_gemma":0.9167789,"teacher_disagreement_score":0.68077946,"about_ca_system_score_codex":0.001968213,"about_ca_system_score_gemma":0.0088076,"threshold_uncertainty_score":0.9999872},"labels":[],"label_agreement":null},{"id":"W1849309036","doi":"10.1046/j.1470-6431.2001.00177.x","title":"Consumers, cars and communities: the challenge of sustainability","year":2001,"lang":"en","type":"article","venue":"International Journal of Consumer Studies","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Human settlement; Sustainability; Subsidy; Fundamental human needs; Business; Market failure; Public policy; Economics; Economic growth; Market economy; Engineering","score_opus":0.05591271427599417,"score_gpt":0.3853217775745795,"score_spread":0.3294090632985854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1849309036","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96182877,0.021071162,0.00002370229,0.014103579,0.00054002804,0.00009211613,0.000006746516,0.0000051267903,0.002328745],"genre_scores_gemma":[0.98342925,0.01629193,0.00002644103,0.000070365124,0.00007863269,0.0000020313025,3.5552182e-7,0.0000026071696,0.00009839108],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99884295,0.00017688116,0.00038647087,0.00005319018,0.00043153795,0.00010896854],"domain_scores_gemma":[0.996857,0.0007038169,0.00030516577,0.0000940504,0.0020020592,0.000037916343],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011102784,0.0000683306,0.00020877844,0.00006502696,0.00021476467,0.00002784386,0.00041862729,0.000028899729,0.00005931543],"category_scores_gemma":[0.0004107557,0.000044790304,0.000082249695,0.00007078684,0.0017345961,0.00021275751,0.000056091114,0.00015630202,3.52807e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007090612,0.00007139729,0.9389858,0.000013203202,0.0005442472,0.000017342381,0.044043403,0.0000012525793,0.0000015898523,0.0030689859,0.0002474855,0.012934336],"study_design_scores_gemma":[0.0011466624,0.00010583295,0.41967618,0.00015754327,0.00019857324,0.000016596314,0.3770467,0.0000046984114,0.00003369408,0.035791807,0.16565351,0.00016819718],"about_ca_topic_score_codex":0.0018776791,"about_ca_topic_score_gemma":0.006311245,"teacher_disagreement_score":0.51930964,"about_ca_system_score_codex":0.00008385529,"about_ca_system_score_gemma":0.00018725843,"threshold_uncertainty_score":0.63911915},"labels":[],"label_agreement":null},{"id":"W1854138845","doi":"10.1080/01441647.2015.1042944","title":"Potential Path Areas and Activity Spaces in Application: A Review","year":2015,"lang":"en","type":"review","venue":"Transport Reviews","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":130,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; University of Toronto; Concordia University","funders":"National Institute for Transportation and Communities; University of Utah","keywords":"Categorization; Data science; Space (punctuation); Domain (mathematical analysis); Management science; Regional science; Sociology; Geography; Computer science; Operations research; Engineering; Mathematics; Artificial intelligence","score_opus":0.07704663647553706,"score_gpt":0.39491195907113474,"score_spread":0.3178653225955977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1854138845","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000020597789,0.99024695,0.00012496056,0.00020032201,0.00013944533,0.0054179598,0.000059860482,0.000069248716,0.003720658],"genre_scores_gemma":[0.00008526933,0.9979174,0.00010092358,0.00008665981,0.00027582003,0.00078206987,0.00019096627,0.000035712692,0.00052516634],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9960513,0.00071758474,0.0013094816,0.00090558926,0.00053572434,0.0004803062],"domain_scores_gemma":[0.9981025,0.000044861292,0.0007500572,0.00067689636,0.000079293866,0.00034641774],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004477928,0.0005682246,0.0038543171,0.00010986489,0.0001642396,0.00004216018,0.0006097227,0.00039692916,0.00023431038],"category_scores_gemma":[0.0000474057,0.00043504618,0.00070651516,0.0010027353,0.00032227766,0.0003537738,0.000017186649,0.00059993943,0.000085780215],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000025188788,0.000081657214,0.0010790327,0.0726717,0.000013813466,0.00001917677,0.0002197894,1.1374723e-8,1.38280685e-8,0.00007307097,0.0004628173,0.9253764],"study_design_scores_gemma":[0.000091941925,0.000009995298,0.00055091886,0.04423324,0.0009405121,0.0000021782434,0.000009579167,1.8155961e-7,8.180479e-9,0.00008524752,0.95364904,0.00042717461],"about_ca_topic_score_codex":0.0017287823,"about_ca_topic_score_gemma":0.005324144,"teacher_disagreement_score":0.9531862,"about_ca_system_score_codex":0.00017413245,"about_ca_system_score_gemma":0.000822536,"threshold_uncertainty_score":0.99981016},"labels":[],"label_agreement":null},{"id":"W1854457793","doi":"10.1108/9781849507738-027","title":"Development of Integrated Choice and Latent Variable (ICLV) Models for the Residential Relocation Decision in Island Areas","year":2010,"lang":"en","type":"book-chapter","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Latent variable; Relocation; Latent class model; Econometrics; Discrete choice; Variables; Logit; Latent variable model; Mixed logit; Logistic regression; Sample (material); Variable (mathematics); Statistics; Population; Structural equation modeling; Geography; Computer science; Mathematics; Demography","score_opus":0.04041696059575443,"score_gpt":0.28781157051551703,"score_spread":0.24739460991976261,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1854457793","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1532536,0.0017039664,0.3483201,0.00082026393,0.0016517837,0.005620208,0.00015670362,0.00012862649,0.48834476],"genre_scores_gemma":[0.6456058,0.00047788673,0.042786334,0.00008422818,0.00030418357,0.00009466537,0.00021757631,0.000052406842,0.31037688],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99882996,0.000011404157,0.00044998692,0.00027109176,0.00029346487,0.00014407055],"domain_scores_gemma":[0.9990903,0.00031151314,0.00016704967,0.00017138523,0.00021603049,0.000043683558],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010221954,0.00013403491,0.00021498016,0.00007771345,0.00025474848,0.000052862128,0.00022886175,0.00033097478,0.0003675673],"category_scores_gemma":[0.000072552975,0.00008848725,0.000041381936,0.000055573597,0.00015743698,0.0001727219,0.000027437618,0.000216553,0.0000012612777],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010839752,0.00035718275,0.05283696,0.00046573702,0.00037312254,0.0000031103327,0.03568884,0.00044456802,0.0008138783,0.68592817,0.0022378233,0.21976662],"study_design_scores_gemma":[0.0015972875,0.000040878465,0.04319579,0.0007607153,0.00019482593,2.4515657e-7,0.00058443105,0.002447289,0.00045219288,0.6677491,0.28225917,0.00071808085],"about_ca_topic_score_codex":0.005804004,"about_ca_topic_score_gemma":0.27914828,"teacher_disagreement_score":0.49235225,"about_ca_system_score_codex":0.00006944932,"about_ca_system_score_gemma":0.0005328668,"threshold_uncertainty_score":0.8773957},"labels":[],"label_agreement":null},{"id":"W1858053924","doi":"10.1002/job.2055","title":"Frequency versus time lost measures of absenteeism: Is the voluntariness distinction an urban legend?","year":2015,"lang":"en","type":"article","venue":"Journal of Organizational Behavior","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Voluntariness; Absenteeism; Psychology; Attendance; Extant taxon; Social psychology; Economics; Epistemology","score_opus":0.06807864208616128,"score_gpt":0.31548616325381557,"score_spread":0.2474075211676543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1858053924","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99691945,0.00010366678,0.00018021179,0.00079817773,0.00078853953,0.00010903007,0.00003100069,0.00001015239,0.0010597698],"genre_scores_gemma":[0.9985045,0.00000494978,0.00017394379,0.00003472891,0.00067043665,8.058861e-7,0.000018495668,0.000011724122,0.0005803843],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983685,0.00010045641,0.0004207972,0.000104349325,0.00088283577,0.0001230873],"domain_scores_gemma":[0.9976185,0.000046676345,0.000386956,0.00012762056,0.0016677723,0.0001524703],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000692355,0.00008706151,0.00016116018,0.000058945036,0.0001952928,0.000049555638,0.00037518798,0.00007029178,0.0014536261],"category_scores_gemma":[0.00016986336,0.000062916966,0.00007002487,0.00041965832,0.00021974933,0.0005759102,0.000014114735,0.00013801579,0.000025227519],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060714574,0.00028764634,0.99291474,0.000002291348,0.000019947813,0.000006003271,0.0033211496,0.0000048876227,0.0010120163,0.00060577784,0.0016213554,0.00014349422],"study_design_scores_gemma":[0.0007512256,0.00013911987,0.9933849,0.000011370176,0.00023078044,0.000005100049,0.0015632597,0.0000039525294,0.0016036425,0.00045553007,0.0017343004,0.00011681965],"about_ca_topic_score_codex":0.0006363526,"about_ca_topic_score_gemma":0.00058303913,"teacher_disagreement_score":0.00175789,"about_ca_system_score_codex":0.00015023262,"about_ca_system_score_gemma":0.0006753873,"threshold_uncertainty_score":0.9994592},"labels":[],"label_agreement":null},{"id":"W1858226755","doi":"10.29173/cjs8025","title":"Parental Traffic Safeguarding at School Sites: Unequal Risks and Responsibilities","year":2011,"lang":"en","type":"article","venue":"The Canadian Journal of Sociology","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Safeguarding; Sociology; Corporate governance; Hegemony; Enforcement; Inequality; Public relations; Criminology; Political science; Business; Law; Politics","score_opus":0.13168648810501254,"score_gpt":0.3236414693016692,"score_spread":0.19195498119665666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1858226755","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9935825,0.0014930174,0.0000023150612,0.0012075127,0.00029736623,0.000080461825,0.000013771391,0.000006832597,0.0033162243],"genre_scores_gemma":[0.9990255,0.000036183577,0.000045917997,0.00022284892,0.00026362913,0.0000010101172,0.0000011881519,0.000006001401,0.00039770297],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986537,0.00047673297,0.00028921294,0.000108754575,0.00011934235,0.00035224447],"domain_scores_gemma":[0.9989279,0.00023401127,0.00017119563,0.0001030411,0.000101570724,0.00046226216],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0019590363,0.00008349268,0.00019763583,0.00008874551,0.0012297995,0.000028744662,0.00030188984,0.00014518008,0.0011402036],"category_scores_gemma":[0.0003408616,0.000059897287,0.00009357395,0.00007105036,0.0025459658,0.00016296846,0.000010495533,0.00032765637,0.0000124325115],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007163729,0.000005984937,0.8625696,0.0000034205284,0.000034835364,0.00003811868,0.13398969,0.0000042276197,0.000016686015,0.002270614,0.00057901436,0.00041623495],"study_design_scores_gemma":[0.00028944504,0.00012122629,0.9297915,0.000015250626,0.000051333565,0.000012078332,0.05553332,0.0000029954517,0.000018867411,0.011250005,0.002793163,0.00012079048],"about_ca_topic_score_codex":0.04177696,"about_ca_topic_score_gemma":0.64379764,"teacher_disagreement_score":0.6020207,"about_ca_system_score_codex":0.00034273017,"about_ca_system_score_gemma":0.0014952227,"threshold_uncertainty_score":0.9997729},"labels":[],"label_agreement":null},{"id":"W1866569911","doi":"10.1111/j.1530-9290.2012.00486.x","title":"Using Activity‐Based Modeling to Simulate Urban Resource Demands at High Spatial and Temporal Resolutions","year":2012,"lang":"en","type":"article","venue":"Journal of Industrial Ecology","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":36,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Toronto; Imperial College London","keywords":"Urban metabolism; Resource (disambiguation); Computer science; Microsimulation; Transferability; Scale (ratio); Environmental economics; Environmental resource management; Urban planning; Transport engineering; Environmental science; Economics; Geography; Urban density; Engineering; Machine learning; Civil engineering","score_opus":0.12947439787706314,"score_gpt":0.348079065971588,"score_spread":0.21860466809452486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1866569911","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9943544,0.00004425173,0.0026574393,0.0015816377,0.00096430426,0.0001725999,0.0000071801983,0.0000117810605,0.00020637175],"genre_scores_gemma":[0.9964921,0.0000014838877,0.0005222545,0.00012567718,0.0027723853,0.0000010397448,0.0000013808356,0.000009437311,0.00007427161],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99834955,0.0003538339,0.00044655832,0.00013501465,0.00027260455,0.00044246676],"domain_scores_gemma":[0.998833,0.0002275169,0.00033621592,0.000096486096,0.000118551114,0.0003882192],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018317172,0.00011052368,0.0003281842,0.00017818512,0.0006083659,0.000036227055,0.0001674177,0.0003390624,0.00016772731],"category_scores_gemma":[0.00043846088,0.00010091207,0.000092540795,0.00022617771,0.00014978762,0.00037121208,0.00004545677,0.0004014096,0.0000021790001],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007412738,0.00014798403,0.9822121,0.0000026673242,0.000030885938,0.000010687795,0.0012214618,0.013718434,0.00035473926,0.000057026657,0.00054026744,0.00096244295],"study_design_scores_gemma":[0.02877745,0.0038717613,0.6647677,0.0004993426,0.0018334677,0.000060597096,0.0044569983,0.16494025,0.0030303483,0.001924913,0.12297198,0.0028651918],"about_ca_topic_score_codex":0.0026365614,"about_ca_topic_score_gemma":0.0040826374,"teacher_disagreement_score":0.3174444,"about_ca_system_score_codex":0.0003858738,"about_ca_system_score_gemma":0.00042279996,"threshold_uncertainty_score":0.46791205},"labels":[],"label_agreement":null},{"id":"W1874946522","doi":"10.1016/j.pmedr.2015.10.001","title":"Impacts of public transit improvements on ridership, and implications for physical activity, in a low-density Canadian city","year":2015,"lang":"en","type":"article","venue":"Preventive Medicine Reports","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Queen's University","funders":"Queen's University","keywords":"Public transport; Transit (satellite); Business; Service (business); Work (physics); Transport engineering; Demographic economics; Marketing; Engineering; Economics","score_opus":0.08739003809176425,"score_gpt":0.3679592540000004,"score_spread":0.28056921590823614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1874946522","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9908729,0.00004832374,0.0002524326,0.0056744777,0.000108070104,0.00086180615,0.000015973093,0.000013825555,0.0021521698],"genre_scores_gemma":[0.9996716,0.0000067893848,0.0000109040675,0.00003669131,0.00011644989,0.000039657807,0.000013773759,0.0000060873085,0.0000980386],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99878496,0.000101201105,0.00024095865,0.00030472613,0.0002537818,0.0003144022],"domain_scores_gemma":[0.9987953,0.000105019244,0.00019877584,0.00019678914,0.00022626166,0.0004778739],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017539428,0.00010416498,0.0002879871,0.00013455763,0.00011890001,0.000012584121,0.00008262138,0.000059202546,0.000011612421],"category_scores_gemma":[0.00074748445,0.00008973295,0.000055740707,0.00028104716,0.0003259797,0.00023828029,0.000009966598,0.00010724625,1.4284589e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026134809,0.00025778238,0.98565155,0.00004271858,0.000019627589,0.000006724368,0.00629531,2.2365364e-7,0.0003429311,0.000351338,0.000123545,0.0068821316],"study_design_scores_gemma":[0.0004636776,0.00017051616,0.98266274,0.00007779046,0.00003217078,6.143892e-7,0.00071247405,0.000007952917,0.00067302573,0.014923828,0.00019006887,0.00008517014],"about_ca_topic_score_codex":0.24436583,"about_ca_topic_score_gemma":0.6502403,"teacher_disagreement_score":0.40587446,"about_ca_system_score_codex":0.00022410906,"about_ca_system_score_gemma":0.0007598983,"threshold_uncertainty_score":0.760666},"labels":[],"label_agreement":null},{"id":"W1875654841","doi":"","title":"Typologie des chaînes de déplacements et modélisation descriptive des systèmes d'activités des personnes","year":2010,"lang":"fr","type":"article","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.03919255050596635,"score_gpt":0.2904239339722387,"score_spread":0.25123138346627233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1875654841","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8589062,0.008036274,0.12407977,0.0034028823,0.00083211635,0.0009770474,0.00014574981,0.0006770003,0.0029429703],"genre_scores_gemma":[0.911259,0.0016736129,0.080234915,0.00053612515,0.00054394593,0.00043017208,0.000035909008,0.00009229125,0.0051940097],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99508023,0.00084812776,0.0006751074,0.0008824437,0.00062831526,0.0018857839],"domain_scores_gemma":[0.99736285,0.0004080167,0.0004217252,0.00070186675,0.0004198842,0.0006856313],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0029628712,0.00068765174,0.0006442786,0.00036725376,0.0020849227,0.0005848669,0.0009408659,0.00097650266,0.0005680776],"category_scores_gemma":[0.001009203,0.00071133097,0.00038690056,0.0011288126,0.0043987366,0.0028583554,0.00016417682,0.0011487157,0.00004629111],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020019214,0.00092736114,0.8256537,0.00032566205,0.00016107419,0.000051795792,0.03887342,0.00025229133,0.01481736,0.0582749,0.0004269175,0.060035326],"study_design_scores_gemma":[0.00074988086,0.00031300535,0.7675423,0.00038560803,0.00028975095,0.000037403148,0.01564852,0.009878009,0.016520008,0.18563344,0.0018858255,0.0011162797],"about_ca_topic_score_codex":0.22413759,"about_ca_topic_score_gemma":0.39297354,"teacher_disagreement_score":0.16883595,"about_ca_system_score_codex":0.0018446122,"about_ca_system_score_gemma":0.001111377,"threshold_uncertainty_score":0.9995338},"labels":[],"label_agreement":null},{"id":"W1888747018","doi":"10.1016/j.tra.2015.05.008","title":"Assessment of spatial transferability of an activity-based model, TASHA","year":2015,"lang":"en","type":"article","venue":"Transportation Research Part A Policy and Practice","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Polytechnique Montréal","funders":"Ministère des Transports","keywords":"Transferability; Context (archaeology); Geography; Work (physics); Estimation; Computer science; Econometrics; Mathematics; Engineering","score_opus":0.2647105294971332,"score_gpt":0.5406825941559809,"score_spread":0.27597206465884766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1888747018","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97488177,0.000025759204,0.010489758,0.0038026557,0.00002908944,0.00052894524,0.00022719422,0.0000265696,0.009988276],"genre_scores_gemma":[0.9976503,0.00003852462,0.002004481,0.00006173829,0.000092310605,0.000032887187,0.00005029856,0.000008393846,0.00006104999],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9962738,0.0014815824,0.0003805395,0.0002953627,0.0012431735,0.00032552105],"domain_scores_gemma":[0.9970426,0.001259779,0.00014216415,0.00025677317,0.0009476123,0.00035110355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007899817,0.00009980721,0.00025002586,0.0001713833,0.00023437287,0.000034173896,0.00019644797,0.00012268378,0.00006626254],"category_scores_gemma":[0.0009594558,0.00009832351,0.000058736285,0.0005519863,0.0008599644,0.0012050362,0.00000246787,0.0003196276,5.8274674e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0118626645,0.012435262,0.54021853,0.0018568514,0.00028229144,0.00004182183,0.14416373,0.020488804,0.011943673,0.21813396,0.0003217413,0.03825071],"study_design_scores_gemma":[0.003786818,0.0015872935,0.921557,0.00008693791,0.00018775271,2.5068476e-7,0.00813727,0.022659061,0.0058241696,0.015273146,0.020411197,0.0004891186],"about_ca_topic_score_codex":0.085933276,"about_ca_topic_score_gemma":0.05194357,"teacher_disagreement_score":0.38133848,"about_ca_system_score_codex":0.00006971915,"about_ca_system_score_gemma":0.0030911888,"threshold_uncertainty_score":0.965356},"labels":[],"label_agreement":null},{"id":"W1895451490","doi":"10.1002/2014ef000257","title":"Urbanization and the carbon cycle: Contributions from social science","year":2014,"lang":"en","type":"article","venue":"Earth s Future","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":114,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Solar Energy Technologies Office; National Center for Atmospheric Research","keywords":"Urbanization; Process (computing); Discipline; Greenhouse gas; Sociology; Regional science; Economic geography; Social science; Computer science; Ecology; Economic growth; Geography; Economics; Biology","score_opus":0.0038038356849607337,"score_gpt":0.2448069818015938,"score_spread":0.24100314611663307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1895451490","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9631215,0.00026193066,0.00021050683,0.00824502,0.0005608041,0.00016486913,0.00001989004,0.000057819892,0.027357658],"genre_scores_gemma":[0.9973913,0.0000127401,0.000029512285,0.00025096393,0.0021211035,0.0000030504582,0.00000839016,0.0000025204602,0.00018044532],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9991776,0.00011959663,0.00008691328,0.00016703457,0.00027386905,0.00017500276],"domain_scores_gemma":[0.99961954,0.00006878687,0.00004609019,0.000095651136,0.00011245813,0.00005749402],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0008094308,0.00005223183,0.000088312256,0.000017051503,0.0014393214,0.0001277284,0.00017963319,0.00006613384,0.00006458033],"category_scores_gemma":[0.00015075247,0.000035521207,0.000024838442,0.00034180595,0.0012474048,0.00016687604,0.000015930162,0.000111606125,0.0000032684086],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007003791,0.000047398484,0.33403325,0.0000051621614,0.00001772886,7.5083136e-7,0.04820497,0.000003460238,0.0004154315,0.5974159,0.00045137983,0.01933453],"study_design_scores_gemma":[0.0007684692,0.000005965627,0.91578573,0.000003792771,0.00002621698,4.4372104e-8,0.0013597867,0.0003966294,0.00012767772,0.01780143,0.063619405,0.00010484704],"about_ca_topic_score_codex":0.0019274033,"about_ca_topic_score_gemma":0.002551161,"teacher_disagreement_score":0.5817525,"about_ca_system_score_codex":0.000013391358,"about_ca_system_score_gemma":0.00009744984,"threshold_uncertainty_score":0.99986064},"labels":[],"label_agreement":null},{"id":"W1895540593","doi":"","title":"Transportation behavior at Laval University: Studied, shown on maps and inspiring the elaboration of efficient informative strategies","year":2015,"lang":"en","type":"other","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"","keywords":"Sustainable transport; Travel behavior; Psychology; Political science; Business; Engineering; Transport engineering; Sustainability","score_opus":0.013675856986489179,"score_gpt":0.25227939762345536,"score_spread":0.23860354063696618,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1895540593","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7803492,0.0022834663,0.006200762,0.0014508271,0.00035736014,0.004258381,0.0021609205,0.0009664024,0.20197271],"genre_scores_gemma":[0.96583855,0.00044484576,0.00076282467,0.0000877623,0.00011391847,0.00006223234,0.00024244146,0.00008999182,0.03235745],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984618,0.00016489107,0.0002940987,0.0002619579,0.00052249024,0.00029475513],"domain_scores_gemma":[0.99896383,0.000053127773,0.00040981127,0.00029900033,0.00014710112,0.00012712396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071741967,0.00024325238,0.0003124767,0.00027930638,0.0003535678,0.00007279978,0.0003132917,0.00033448986,0.000059051108],"category_scores_gemma":[0.000025476844,0.00020380873,0.00007398007,0.00045952242,0.00044700477,0.00022905214,0.000029292847,0.00027439382,0.0000032256078],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011439262,0.0018383969,0.48305753,0.00079914887,0.00063998153,0.00017325116,0.15065928,0.0036987425,0.0006878357,0.17719439,0.15563647,0.024471063],"study_design_scores_gemma":[0.0024775104,0.00061521895,0.5385844,0.00073240104,0.000905548,0.000001915208,0.069358006,0.00080542313,0.0009923804,0.0009757857,0.38284072,0.0017106995],"about_ca_topic_score_codex":0.039814193,"about_ca_topic_score_gemma":0.30279872,"teacher_disagreement_score":0.2629845,"about_ca_system_score_codex":0.0003876501,"about_ca_system_score_gemma":0.0005515102,"threshold_uncertainty_score":0.9665798},"labels":[],"label_agreement":null},{"id":"W189740852","doi":"","title":"Neighbourhood Greenways: Invisible Infrastructure for Walking and Cycling","year":2012,"lang":"en","type":"article","venue":"University of Canterbury Research Repository (University of Canterbury)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Neighbourhood (mathematics); Pedestrian; AKA; Cycling; Destinations; Geography; Transport engineering; Environmental planning; Architectural engineering; Engineering; Computer science; Archaeology","score_opus":0.03530077208959755,"score_gpt":0.29405015202264806,"score_spread":0.2587493799330505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W189740852","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97987545,0.0006306845,0.002170992,0.00030389574,0.00021153364,0.00044681944,0.000049571154,0.000048227506,0.016262818],"genre_scores_gemma":[0.99448323,0.00027766282,0.0014743874,0.0000088627785,0.00013633171,1.04314466e-7,0.000007361403,0.000012236951,0.0035998214],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99764246,0.000361058,0.00019246568,0.00037839753,0.00071323937,0.0007124112],"domain_scores_gemma":[0.9981224,0.00031740687,0.00023516796,0.00032913435,0.0005732964,0.00042257967],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0014126662,0.00015788357,0.0003970106,0.0003528783,0.0016409982,0.00003536875,0.0007719279,0.00022953746,0.0001602205],"category_scores_gemma":[0.000076528035,0.00020629495,0.00020418075,0.0004792024,0.0017150687,0.0012263935,0.00022945864,0.00036416302,0.0000012919251],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012429244,0.00027555303,0.9047717,0.00065400783,0.000292125,0.00008755136,0.059662934,0.000013212985,0.013862274,0.00516595,0.0033466888,0.01062509],"study_design_scores_gemma":[0.0042067943,0.000693874,0.66361606,0.0009226478,0.00039939233,0.000012877573,0.24348456,0.0008305102,0.0045479946,0.0013341219,0.07895873,0.0009924272],"about_ca_topic_score_codex":0.02059435,"about_ca_topic_score_gemma":0.004058514,"teacher_disagreement_score":0.24115561,"about_ca_system_score_codex":0.0002446468,"about_ca_system_score_gemma":0.0004568467,"threshold_uncertainty_score":0.9996587},"labels":[],"label_agreement":null},{"id":"W1901549110","doi":"10.7202/1024905ar","title":"Mobilité et lutte contre la pollution atmosphérique","year":2014,"lang":"fr","type":"article","venue":"Cahiers de géographie du Québec","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Geography; Philosophy","score_opus":0.005529668529188973,"score_gpt":0.22755317910820047,"score_spread":0.22202351057901148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1901549110","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9001813,0.0065726205,0.0041442225,0.039491095,0.0010226694,0.00039680698,0.000032688124,0.0002235672,0.04793506],"genre_scores_gemma":[0.96600217,0.0007454539,0.00028356246,0.003344006,0.00058765966,0.000040603332,0.000015631953,0.0000401039,0.028940842],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99625117,0.0014177894,0.00048953225,0.0006313879,0.00037324143,0.0008368885],"domain_scores_gemma":[0.99797505,0.0006509113,0.00022509796,0.00048336346,0.0001542966,0.00051125494],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0027995743,0.0003640001,0.0004497191,0.00009804479,0.000705419,0.00014488069,0.000523603,0.00083602703,0.00042180123],"category_scores_gemma":[0.00042878123,0.00038207654,0.00053700816,0.0013073769,0.014632144,0.0005619759,0.000025630248,0.0008402741,0.00008433283],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009800894,0.00046255166,0.5427842,0.00015905904,0.0001605085,0.000033592296,0.02024907,0.00008541648,0.00014449099,0.37618536,0.011198129,0.04843958],"study_design_scores_gemma":[0.000757514,0.00009000582,0.2437718,0.00009233358,0.00016344381,0.000004626154,0.0013194424,0.00018682862,0.000050986386,0.02153521,0.7315378,0.0004899631],"about_ca_topic_score_codex":0.16069905,"about_ca_topic_score_gemma":0.464199,"teacher_disagreement_score":0.7203397,"about_ca_system_score_codex":0.00049295614,"about_ca_system_score_gemma":0.0010346832,"threshold_uncertainty_score":0.9998631},"labels":[],"label_agreement":null},{"id":"W1904012882","doi":"10.1016/j.socscimed.2015.08.033","title":"Demand response to improved walking infrastructure: A study into the economics of walking and health behaviour change","year":2015,"lang":"en","type":"article","venue":"Social Science & Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"World Cancer Research Fund; Economic and Social Research Council; Engineering and Physical Sciences Research Council; Medical Research Council; Queen's University; Directorate for Biological Sciences; Public Health Agency; Cancer Research UK; Queen's University Belfast; Diabetes UK; British Heart Foundation; Biotechnology and Biological Sciences Research Council; Alzheimer's Research Trust; Health and Social Care Research and Development Division; National Institute for Health and Care Research; Alzheimer's Society; United Kingdom Clinical Research Collaboration","keywords":"Walkability; Neighbourhood (mathematics); Psychological intervention; Built environment; Gerontology; Population; Environmental health; Public health; Perception; Physical activity; Psychology; Public economics; Medicine; Geography; Economics; Physical medicine and rehabilitation; Engineering; Nursing","score_opus":0.057847993224716385,"score_gpt":0.3784659034042852,"score_spread":0.3206179101795688,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1904012882","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98442084,0.00021357629,0.00003167888,0.013818621,0.00041349596,0.0008110704,0.0000018049883,0.000022407869,0.0002664981],"genre_scores_gemma":[0.99858963,0.000013325279,0.000041135547,0.0007761087,0.0005303391,0.000021191256,5.4302257e-7,0.000005470164,0.000022237062],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9981459,0.0002631235,0.0003370892,0.00033765376,0.00052031165,0.00039594987],"domain_scores_gemma":[0.9990103,0.00008604004,0.00020523307,0.00016725373,0.0001791678,0.00035195897],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013554023,0.000108731656,0.00028175904,0.00011709196,0.0012746395,0.000053828684,0.0005394281,0.000047027774,0.000013056204],"category_scores_gemma":[0.0005653061,0.00007363437,0.000024111083,0.00090036,0.0019449377,0.0003571721,0.00008656493,0.00014013788,3.483077e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005764258,0.000022139924,0.40948784,0.0000030117126,0.0000022763045,5.071663e-7,0.5649016,1.424545e-7,0.00017102399,0.00015658907,0.00003229152,0.025164977],"study_design_scores_gemma":[0.0004785323,0.00035621866,0.83943486,0.000018433282,0.000016052569,1.4346561e-7,0.15749638,0.000009047482,0.000015793283,0.001669921,0.00042363137,0.00008096879],"about_ca_topic_score_codex":0.022649659,"about_ca_topic_score_gemma":0.01647061,"teacher_disagreement_score":0.42994705,"about_ca_system_score_codex":0.00033408924,"about_ca_system_score_gemma":0.0008283953,"threshold_uncertainty_score":0.9838586},"labels":[],"label_agreement":null},{"id":"W1904125454","doi":"10.5198/jtlu.2015.718","title":"The importance of neighborhood type dissonance in understanding the effect of the built environment on travel behavior","year":2015,"lang":"en","type":"article","venue":"Journal of Transport and Land Use","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Travel behavior; Cognitive dissonance; Public transport; Selection (genetic algorithm); Affect (linguistics); Transport engineering; Built environment; Computer science; Marketing; Business; Psychology; Engineering; Social psychology","score_opus":0.05045524571143863,"score_gpt":0.29420544906602925,"score_spread":0.2437502033545906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1904125454","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983645,0.00059056876,0.00003529502,0.0005062992,0.00015942025,0.00017191062,0.000007554529,0.0000010303064,0.00016341133],"genre_scores_gemma":[0.999578,0.000307086,0.0000037196478,0.000014104403,0.000040938423,0.0000013482281,4.3005588e-7,0.0000039510232,0.000050435436],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99900126,0.00008866552,0.0003435426,0.000070257556,0.00037299548,0.00012327284],"domain_scores_gemma":[0.99933004,0.00018662214,0.00027589567,0.00012942981,0.0000230403,0.000054955806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012401525,0.00007426917,0.00018938101,0.000017424118,0.00013354448,0.000012759405,0.00023629406,0.00004536272,0.000008797125],"category_scores_gemma":[0.000030887684,0.000030107909,0.0000930471,0.00011891429,0.00027981374,0.00012400262,0.000003853093,0.00017862675,6.780204e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025812775,0.00004546727,0.99660563,0.000007460604,0.000011626814,0.0000058430196,0.0025152664,0.000018614406,0.000036931557,0.00027299146,0.000011088451,0.00021093302],"study_design_scores_gemma":[0.0005813208,0.00020013805,0.9972732,0.000053129384,0.00007197947,7.0747865e-7,0.0007334183,0.0000030449899,0.00013756484,0.0005597361,0.00034821214,0.00003751749],"about_ca_topic_score_codex":0.00025184307,"about_ca_topic_score_gemma":0.0032688316,"teacher_disagreement_score":0.0030169885,"about_ca_system_score_codex":0.000042735945,"about_ca_system_score_gemma":0.000072595794,"threshold_uncertainty_score":0.18240848},"labels":[],"label_agreement":null},{"id":"W1904823078","doi":"10.17269/cjph.106.5009","title":"Healthy Canada by Design","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Heart and Stroke Foundation","funders":"","keywords":"Psychology","score_opus":0.14459105342645776,"score_gpt":0.33459336620258107,"score_spread":0.1900023127761233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1904823078","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36163926,0.015129796,0.014188224,0.58911496,0.0048134634,0.0005659908,0.00014256973,0.000026969983,0.014378726],"genre_scores_gemma":[0.9916054,0.00003646682,0.0003938983,0.007092862,0.000342715,8.513027e-7,0.000004378008,0.000007825448,0.00051563006],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974918,0.000594038,0.0004630704,0.00010379629,0.0004867882,0.00086050393],"domain_scores_gemma":[0.99071133,0.00007230031,0.00029266294,0.00010962905,0.0004619024,0.008352203],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0068595996,0.000076335935,0.00022229395,0.00012607807,0.00047434922,0.00011396653,0.00042146276,0.00005765869,0.0002051884],"category_scores_gemma":[0.0007657893,0.00007238624,0.000035352903,0.00039907327,0.00015769347,0.00038689846,0.0000020820194,0.0002486269,0.0000028234654],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.0000037150382,0.000013694061,0.17098477,0.000007376733,0.000009336478,0.00003515809,0.0057038665,0.0000032966882,1.1148412e-7,0.00090258784,0.8087793,0.013556755],"study_design_scores_gemma":[0.00024681058,0.000110126406,0.011330577,0.0000089754085,0.0000017588305,0.0000029036596,0.005367951,0.0000032101445,5.847671e-7,0.0003747422,0.9824737,0.00007870887],"about_ca_topic_score_codex":0.9963378,"about_ca_topic_score_gemma":0.9996425,"teacher_disagreement_score":0.6299661,"about_ca_system_score_codex":0.004328761,"about_ca_system_score_gemma":0.29676712,"threshold_uncertainty_score":0.9994934},"labels":[],"label_agreement":null},{"id":"W190534554","doi":"10.1002/atr.166","title":"Comparison of pedestrian trip generation models","year":2011,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Maryland Department of Transportation; U.S. Department of Transportation","keywords":"Poisson regression; Negative binomial distribution; Akaike information criterion; Econometrics; Pedestrian; Regression analysis; Deviance (statistics); Statistics; Count data; Poisson distribution; Variables; Regression; Mathematics; Transport engineering; Engineering; Population","score_opus":0.11912393771078483,"score_gpt":0.3651329663428854,"score_spread":0.24600902863210056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W190534554","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98408824,0.00030618694,0.01392016,0.000055327397,0.0003891131,0.00011696672,0.0000060527377,0.000008240138,0.0011097228],"genre_scores_gemma":[0.9920357,0.000099329736,0.007661818,0.000008739718,0.00015349845,0.0000012991196,0.000010072524,0.000006019736,0.000023558734],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986161,0.000049429513,0.0007451403,0.00008877227,0.00037032677,0.00013023337],"domain_scores_gemma":[0.9987415,0.000022343047,0.00071523554,0.000072266936,0.00036003825,0.00008859185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044348708,0.00007146067,0.0002472663,0.00009141353,0.00009998286,0.000007789542,0.00014352899,0.0000683156,0.00009587532],"category_scores_gemma":[0.000017171811,0.000065958615,0.0001281346,0.00020198508,0.000087438726,0.00083576905,3.8346863e-7,0.00011774084,4.7405783e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00081601663,0.0009514203,0.7262314,0.00008668867,0.000075841126,0.000015236533,0.19835187,0.017633535,0.02081237,0.006745138,0.000074028954,0.028206471],"study_design_scores_gemma":[0.0015790021,0.00038438587,0.9465073,0.000068175555,0.00017457217,2.7354838e-7,0.010785644,0.00022725138,0.023185384,0.016170902,0.0007195814,0.0001975563],"about_ca_topic_score_codex":0.0002675586,"about_ca_topic_score_gemma":0.003470452,"teacher_disagreement_score":0.2202759,"about_ca_system_score_codex":0.000034023076,"about_ca_system_score_gemma":0.00016217645,"threshold_uncertainty_score":0.26897144},"labels":[],"label_agreement":null},{"id":"W1906663179","doi":"10.13096/rfre.v1n2.20","title":"Effets du programme d’Apprentissage à l’utilisation du Transport en Commun (ATraCo) : une étude pré-expérimentale","year":2015,"lang":"fr","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.22602928492513716,"score_gpt":0.5018611474395505,"score_spread":0.2758318625144133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1906663179","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9306575,0.04348146,0.00032887823,0.0032694738,0.0036124147,0.0019854258,0.00016013511,0.0001329451,0.01637173],"genre_scores_gemma":[0.9875901,0.008789486,0.00031949615,0.00019752035,0.0010635159,0.000114458446,0.00018422965,0.000098989825,0.0016422576],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9920319,0.0015111675,0.0020783085,0.00096837815,0.0021686475,0.0012416502],"domain_scores_gemma":[0.9951669,0.0004262256,0.0015992705,0.0008839498,0.0006960518,0.0012276225],"candidate_categories":["metaepi_narrow","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007124995,0.000771169,0.0014832241,0.00045189052,0.0010069429,0.0014929895,0.0055540754,0.0005194998,0.013321804],"category_scores_gemma":[0.0002584723,0.0007780406,0.0006295447,0.0025299976,0.0015483993,0.008002723,0.00050405366,0.0010562072,0.00007239071],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035333802,0.003039072,0.92848456,0.00027949075,0.00030003078,0.00013893808,0.015378337,0.000085328706,0.0020062134,0.00030827976,0.011280879,0.038345523],"study_design_scores_gemma":[0.0020256618,0.000054219516,0.92753685,0.000650007,0.0005080185,0.000009189689,0.0032353003,0.00008556607,0.0032978451,0.0059702494,0.05576504,0.0008620454],"about_ca_topic_score_codex":0.039740384,"about_ca_topic_score_gemma":0.011288295,"teacher_disagreement_score":0.056932513,"about_ca_system_score_codex":0.00057513535,"about_ca_system_score_gemma":0.000755718,"threshold_uncertainty_score":0.9998264},"labels":[],"label_agreement":null},{"id":"W1913160650","doi":"10.1111/j.1475-4762.2012.01097.x","title":"Migration, urban growth and commuting distance in Toronto's commuter shed","year":2012,"lang":"en","type":"article","venue":"Area","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"","keywords":"Census; Residence; Geography; Duration (music); Demographic economics; Demography; Economic geography; Socioeconomics; Sociology; Population; Economics","score_opus":0.019441421341400214,"score_gpt":0.28728305739092536,"score_spread":0.26784163604952516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1913160650","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96215117,0.0011319735,0.00014480062,0.0006122069,0.00009069032,0.00008865147,0.0000032644334,0.000029377297,0.035747837],"genre_scores_gemma":[0.99946815,0.00004364884,0.00011645018,0.00013603966,0.00009819258,0.0000057544376,0.000007675652,0.0000034416598,0.00012061979],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99940723,0.000067020665,0.0001219129,0.00008563705,0.0001016992,0.00021648656],"domain_scores_gemma":[0.9997139,0.00006110821,0.00003260637,0.000102861624,0.00001768317,0.00007185685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036318653,0.000053930762,0.00008290379,0.000008599079,0.0002057148,0.00003624746,0.00010987584,0.0000395674,0.00015127433],"category_scores_gemma":[0.000037510476,0.000049378883,0.000016698717,0.000070993054,0.00012034231,0.00065875397,0.000013902338,0.000058745733,0.0000018061305],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000035592734,0.000037358957,0.9765805,0.000005129591,0.0000015641963,3.0280214e-7,0.017670786,1.7697575e-8,0.00001983082,0.0049644336,0.00025455627,0.000461988],"study_design_scores_gemma":[0.00011007385,0.0000035798232,0.9939833,0.000011921461,0.000003384848,4.0800696e-8,0.0024095755,0.000012753889,0.000042319287,0.00037556267,0.0029753908,0.00007203984],"about_ca_topic_score_codex":0.060214695,"about_ca_topic_score_gemma":0.30166468,"teacher_disagreement_score":0.24144998,"about_ca_system_score_codex":0.00006841756,"about_ca_system_score_gemma":0.000013610305,"threshold_uncertainty_score":0.94604343},"labels":[],"label_agreement":null},{"id":"W1917811501","doi":"","title":"Modélisation de l'impact des séquences d'accès et intersections sur la sécurité routière le cas de la 132, route de contour de la Gaspésie","year":2008,"lang":"fr","type":"article","venue":"Sémaphore (Université du Québec à Rimouski)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Université du Québec à Rimouski","keywords":"Humanities; Political science; Philosophy","score_opus":0.014903605153904835,"score_gpt":0.2542250637575544,"score_spread":0.23932145860364953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1917811501","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9239281,0.003448522,0.003532279,0.0029760723,0.00015898813,0.00024675071,0.00011795757,0.00022446839,0.065366864],"genre_scores_gemma":[0.9922702,0.0015557549,0.00074680714,0.00018514245,0.00029591902,0.000009876116,0.000025627742,0.00004885052,0.004861857],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99581444,0.001867464,0.0003303321,0.00056877604,0.00037921983,0.0010397587],"domain_scores_gemma":[0.997382,0.0012154935,0.00026365704,0.00032661486,0.00021212237,0.0006000973],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0019316174,0.0004300832,0.00045561887,0.00022045264,0.0018631475,0.00023413656,0.000777067,0.00066183606,0.0008317119],"category_scores_gemma":[0.00031083977,0.00048865326,0.00053100457,0.00080985983,0.0037489834,0.0018188561,0.00008983585,0.0008246586,0.000028091421],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012845216,0.0004999754,0.80897635,0.00005383133,0.00018981248,0.000427606,0.15162899,0.0014838097,0.00054370146,0.030257879,0.0038483797,0.0019612168],"study_design_scores_gemma":[0.0012080733,0.00013907494,0.93067366,0.00015815768,0.00029290264,0.00037256148,0.027226102,0.0034336762,0.00038511978,0.0064231735,0.029057328,0.0006301996],"about_ca_topic_score_codex":0.84511214,"about_ca_topic_score_gemma":0.8631617,"teacher_disagreement_score":0.12440289,"about_ca_system_score_codex":0.0031337547,"about_ca_system_score_gemma":0.0083317645,"threshold_uncertainty_score":0.9997565},"labels":[],"label_agreement":null},{"id":"W1919942189","doi":"10.1111/j.1468-2257.2010.00528.x","title":"Rural‐to‐Urban Commuting: Three Degrees of Integration","year":2010,"lang":"en","type":"article","venue":"Growth and Change","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":120,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Saskatchewan; University of Lethbridge","funders":"","keywords":"Residence; Urban hierarchy; Geography; Rural area; Population; Hierarchy; Economic geography; Economic growth; Socioeconomics; Business; Regional science; Demographic economics; Political science; Sociology; Economics; Demography","score_opus":0.04393334878694183,"score_gpt":0.29133659971224596,"score_spread":0.24740325092530413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1919942189","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9922851,0.00009275069,0.00007490768,0.0010817081,0.00018687069,0.00016002479,0.000007776161,0.00002819934,0.00608268],"genre_scores_gemma":[0.99932784,0.0000143464695,0.00021396548,0.00009054154,0.00028627855,0.000010934638,0.0000061740434,0.000003197449,0.0000467018],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99954623,0.000015603695,0.00009750135,0.00008409112,0.00011996813,0.00013658113],"domain_scores_gemma":[0.9997039,0.000026819947,0.0000391377,0.00008957493,0.000047947917,0.000092632225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021087681,0.000053315835,0.00008796764,0.000036133326,0.00017003654,0.00002283267,0.00013279924,0.0000622357,0.00007583386],"category_scores_gemma":[0.00005004681,0.000043974047,0.000025696014,0.00014058422,0.00014134689,0.00016488148,0.000015306803,0.00009678,0.0000030482813],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008908233,0.000024136296,0.95426834,0.000013169825,0.000002341098,2.994465e-7,0.017954625,2.745917e-9,0.002186127,0.013350416,0.00011381702,0.012077819],"study_design_scores_gemma":[0.000097881464,0.000035063407,0.9945295,0.000016969765,0.000008136083,6.144248e-8,0.0013642532,0.0000075719317,0.0012189114,0.0017832031,0.0008622217,0.0000762228],"about_ca_topic_score_codex":0.008208427,"about_ca_topic_score_gemma":0.077406056,"teacher_disagreement_score":0.069197625,"about_ca_system_score_codex":0.0000034627171,"about_ca_system_score_gemma":0.000014534916,"threshold_uncertainty_score":0.998396},"labels":[],"label_agreement":null},{"id":"W192079127","doi":"","title":"Falling Immigration Rates Mean Falling Transit Ridership","year":2010,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Immigration; Falling (accident); Public transport; Demographic economics; Transit (satellite); Quarter (Canadian coin); Population; Transit system; Geography; Business; Demography; Transport engineering; Economics; Engineering; Medicine; Sociology","score_opus":0.020664152300821196,"score_gpt":0.2526412785107945,"score_spread":0.2319771262099733,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W192079127","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9643867,0.00012615704,0.00039220706,0.0019339246,0.00037432153,0.000340571,0.00040260362,0.0006252638,0.031418256],"genre_scores_gemma":[0.9964712,0.000022385997,0.00063818693,0.0002813195,0.00066501833,0.000015440197,0.00044287753,0.000059158407,0.0014043578],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974598,0.00011309499,0.00054613187,0.00058286666,0.0006101243,0.0006879622],"domain_scores_gemma":[0.9987288,0.0002306885,0.00014803829,0.00034840542,0.000076746015,0.0004672811],"candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006586608,0.00030390496,0.000286402,0.00013987915,0.00077721535,0.002574073,0.0007277959,0.00032240478,0.0014768058],"category_scores_gemma":[0.00021289474,0.00029116985,0.00026390085,0.0006188107,0.0003563228,0.007917706,0.000035562884,0.00092420925,0.0007038602],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007865917,0.00016587782,0.98158205,0.00003998297,0.000029070925,0.000013065242,0.0014938118,0.000005230091,0.001568329,0.0043434217,0.00023729399,0.0104432395],"study_design_scores_gemma":[0.0020292955,0.00017839571,0.24267714,0.00027434525,0.00016033252,0.0000027735707,0.005180583,0.00033448535,0.03369153,0.143586,0.56875193,0.0031331938],"about_ca_topic_score_codex":0.00016034009,"about_ca_topic_score_gemma":0.0017527634,"teacher_disagreement_score":0.7389049,"about_ca_system_score_codex":0.00002517253,"about_ca_system_score_gemma":0.00024579096,"threshold_uncertainty_score":0.99995404},"labels":[],"label_agreement":null},{"id":"W1921176574","doi":"10.18757/ejtir.2004.4.3.4271","title":"LUTI modelling in the Netherlands","year":2004,"lang":"en","type":"article","venue":"European journal of transport and infrastructure research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Transportation of Ontario","funders":"","keywords":"Sketch; Computer science; Process (computing); Land use; Land-use planning; Focus (optics); Operations research; Transportation planning; Transport engineering; Traffic congestion; Urban planning; Engineering; Civil engineering","score_opus":0.0629547231276049,"score_gpt":0.3480907523944161,"score_spread":0.2851360292668112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1921176574","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9736223,0.0009059896,0.0030858724,0.0017340744,0.000092579125,0.000111504545,0.0000020113116,0.00000541432,0.020440234],"genre_scores_gemma":[0.99828005,0.000528467,0.0006433686,0.00006197233,0.00043965192,3.3225865e-7,0.0000013053805,0.000009836133,0.000034995333],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977187,0.0005866071,0.00041468896,0.0001293127,0.00080406567,0.00034661972],"domain_scores_gemma":[0.9994185,0.00007175204,0.00008542529,0.000121709534,0.00017557663,0.00012701773],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008222106,0.0000853589,0.00015395734,0.0001766314,0.00036949862,0.00007755369,0.00058183115,0.00003960956,0.00007159357],"category_scores_gemma":[0.00002738777,0.000052513828,0.00007585232,0.00048285653,0.0004840302,0.00030788765,0.0000072316407,0.00095592544,0.0000017508424],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003084055,0.00013319482,0.8476493,0.000054478704,0.00003579281,0.0012355727,0.1174764,0.010614201,0.00013586867,0.0046250178,0.000330665,0.017401101],"study_design_scores_gemma":[0.0010152572,0.00017169424,0.95009536,0.000102796956,0.000013068249,0.000013992075,0.0058236946,0.000015999458,0.000022412767,0.013801087,0.028813388,0.0001112432],"about_ca_topic_score_codex":0.00020916603,"about_ca_topic_score_gemma":0.0002852345,"teacher_disagreement_score":0.11165271,"about_ca_system_score_codex":0.00004154508,"about_ca_system_score_gemma":0.00023245596,"threshold_uncertainty_score":0.41530734},"labels":[],"label_agreement":null},{"id":"W1922431305","doi":"10.5888/pcd12.150098","title":"Is Your Neighborhood Designed to Support Physical Activity? A Brief Streetscape Audit Tool","year":2015,"lang":"en","type":"article","venue":"Preventing Chronic Disease","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":163,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Institute of Environmental Health Sciences; National Heart, Lung, and Blood Institute; National Institutes of Health; U.S. Department of Agriculture","keywords":"Walkability; Level design; Physical activity; Built environment; Pedestrian; Audit; Demographics; Medicine; Sample (material); Transport engineering; Environmental health; Gerontology; Applied psychology; Demography; Psychology; Physical therapy; Computer science; Engineering; Multimedia","score_opus":0.04865095507182651,"score_gpt":0.352805708535615,"score_spread":0.3041547534637885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1922431305","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9901441,0.00009695105,0.0009530917,0.0014728237,0.0002458327,0.0006469733,0.000048809656,0.00020006216,0.0061913817],"genre_scores_gemma":[0.994659,0.0000028364643,0.00008539361,0.00019547227,0.0009998166,0.0000536255,0.000015196104,0.00002406395,0.0039645955],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976686,0.00016231225,0.00020508557,0.00057423866,0.00071259623,0.0006771661],"domain_scores_gemma":[0.99831593,0.000054337208,0.00012653712,0.00043173457,0.000116073876,0.0009553833],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006039301,0.00020593229,0.00025139036,0.000051131858,0.00032196325,0.00018056254,0.0004910311,0.00005963138,0.0007835976],"category_scores_gemma":[0.00033040918,0.00021116782,0.00023606117,0.00037652662,0.00012854654,0.00070406456,0.000104099985,0.00014379503,0.0002103891],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005171088,0.0040570297,0.7544931,0.0003478554,0.00018521986,0.000140529,0.021377012,0.00007301024,0.00055257516,0.002863545,0.020256788,0.1951362],"study_design_scores_gemma":[0.003905433,0.0005718607,0.9223367,0.00028757087,0.0007279655,3.9447397e-7,0.0013676485,0.0019312259,0.0012747847,0.014664209,0.05112346,0.0018087422],"about_ca_topic_score_codex":0.0007096317,"about_ca_topic_score_gemma":0.00061722967,"teacher_disagreement_score":0.19332747,"about_ca_system_score_codex":0.00036967237,"about_ca_system_score_gemma":0.0032233447,"threshold_uncertainty_score":0.86111736},"labels":[],"label_agreement":null},{"id":"W1925964375","doi":"10.1111/j.1748-0361.2010.00328.x","title":"“Active Living” Related to the Rural-Urban Continuum: A Time-Use Perspective","year":2010,"lang":"en","type":"article","venue":"The Journal of Rural Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University; Saint Mary's University","funders":"","keywords":"Active living; Geography; Demography; Physical activity; Socioeconomics; Gerontology; Psychology; Medicine; Sociology; Physical therapy","score_opus":0.01310464382543317,"score_gpt":0.3236743058826319,"score_spread":0.3105696620571987,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1925964375","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94171536,0.00029625374,0.000013127172,0.054710433,0.00070449413,0.00038881658,0.000009269083,0.000024609933,0.0021376233],"genre_scores_gemma":[0.99402857,0.0001192557,0.00004706123,0.0010139786,0.0005172991,0.0000014142219,4.860914e-7,0.000010688252,0.00426126],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99788743,0.00065844576,0.00045927815,0.000075380936,0.00050281826,0.00041661522],"domain_scores_gemma":[0.9977308,0.00071459933,0.0005418846,0.0002444701,0.00046527563,0.00030296165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040215896,0.00012176659,0.00027456597,0.000061204264,0.0010527504,0.000088077024,0.00068836863,0.00007715197,0.0004425527],"category_scores_gemma":[0.0005134147,0.00006201647,0.00014659116,0.0004222716,0.0003494257,0.00050206046,0.000031633033,0.0009847782,0.00006532999],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00079429476,0.00034677202,0.12281081,0.000012844734,0.00018210923,0.000008208205,0.7780659,0.000009093854,0.0013024478,0.0063891625,0.078406535,0.011671824],"study_design_scores_gemma":[0.00049444573,0.0005599017,0.8258563,0.00021548345,0.00008329951,0.000025917001,0.14382519,0.000013810231,0.000084311636,0.0061886716,0.02241037,0.00024226304],"about_ca_topic_score_codex":0.014072462,"about_ca_topic_score_gemma":0.021460501,"teacher_disagreement_score":0.70304555,"about_ca_system_score_codex":0.00024031768,"about_ca_system_score_gemma":0.00065601803,"threshold_uncertainty_score":0.9963953},"labels":[],"label_agreement":null},{"id":"W1932715777","doi":"10.5070/bp319111490","title":"The Spatial Distribution of Food Outlet Type and Quality around Schools in Differing Built Environment and Demographic Contexts","year":2011,"lang":"en","type":"article","venue":"Berkeley Planning Journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Georgia Cancer Coalition; Robert Wood Johnson Foundation","keywords":"Walkability; Quality (philosophy); Distribution (mathematics); Geography; Atlanta; Marketing; Business; Environmental health; Built environment; Ecology; Medicine; Metropolitan area","score_opus":0.06128846854086284,"score_gpt":0.30449466225485144,"score_spread":0.2432061937139886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1932715777","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99744475,0.001579619,0.0005527779,0.00007679252,0.00009877844,0.00008986056,0.000008628575,0.00000571657,0.00014309844],"genre_scores_gemma":[0.9995805,0.00027876123,0.00004775341,0.0000065468225,0.00006848822,0.0000013985232,0.00000289635,0.0000032660414,0.000010401462],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990132,0.0001729107,0.00029463423,0.000116549316,0.00020555173,0.00019716007],"domain_scores_gemma":[0.999527,0.00010337099,0.00017100856,0.000072246046,0.000030307825,0.00009609156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013211195,0.00007339818,0.00013777593,0.000027829814,0.0004388208,0.00006976396,0.00011345387,0.00006110283,0.000010145377],"category_scores_gemma":[0.00013595246,0.0000543432,0.000026602029,0.0000817805,0.00026153354,0.00015969841,0.000020974872,0.0002588454,2.7255177e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008184858,0.000024933906,0.9941856,0.000006185941,0.00001526145,0.000002592705,0.002448751,0.0000011081828,0.0001007945,0.00028067935,0.000005860771,0.0028463807],"study_design_scores_gemma":[0.00029355357,0.00006844121,0.9957115,0.000049360693,0.000011957125,0.0000015342732,0.0012122596,0.000007794552,0.000054255914,0.0022794155,0.00024261852,0.0000673139],"about_ca_topic_score_codex":0.0014379108,"about_ca_topic_score_gemma":0.0017890043,"teacher_disagreement_score":0.0027790668,"about_ca_system_score_codex":0.000030704614,"about_ca_system_score_gemma":0.000040632072,"threshold_uncertainty_score":0.33750993},"labels":[],"label_agreement":null},{"id":"W1932815514","doi":"10.5198/jtlu.v1i2.25","title":"Examining the role of urban form In shaping people's accessibility to opportunities: An exploratory spatial data analysis","year":2008,"lang":"en","type":"article","venue":"Journal of Transport and Land Use","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":109,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Geocoding; TRIPS architecture; Geography; Destinations; Disadvantaged; Survey data collection; Socioeconomic status; Household income; Socioeconomics; Demographic economics; Tourism; Business; Economic growth; Transport engineering; Sociology; Economics; Demography; Cartography; Population","score_opus":0.19001077126602248,"score_gpt":0.32650931648597864,"score_spread":0.13649854521995616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1932815514","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998724,0.0003272793,0.0004284265,0.000115517476,0.00006584552,0.00012194119,0.00006079886,0.0000075240378,0.00014870448],"genre_scores_gemma":[0.9992559,0.00031965852,0.00015527978,0.000054486412,0.00015638694,0.0000016231644,0.000030803916,0.000006509013,0.000019331032],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99827886,0.00011833461,0.00070861407,0.00022517331,0.00045085853,0.00021815453],"domain_scores_gemma":[0.9988178,0.00012186659,0.000311069,0.00038198876,0.00014558065,0.0002216743],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021379457,0.00011628699,0.00044656312,0.00023143615,0.00025360906,0.00004213357,0.00064110773,0.0000746034,0.00008745282],"category_scores_gemma":[0.000049956154,0.000079091355,0.0000954367,0.0005386489,0.0001779836,0.0019330359,0.00002272523,0.00020073607,8.8445354e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013230731,0.00010904487,0.9477903,0.000011100229,0.00006895892,0.000029421391,0.050132774,0.000020616015,0.00002169231,0.000011765944,0.0000073968654,0.0016645899],"study_design_scores_gemma":[0.00028908686,0.00006867384,0.985584,0.00002930401,0.00022002308,0.0000010676418,0.012401924,0.00011316286,0.000020485688,0.00008732757,0.0010822227,0.000102680584],"about_ca_topic_score_codex":0.007672275,"about_ca_topic_score_gemma":0.17226373,"teacher_disagreement_score":0.16459145,"about_ca_system_score_codex":0.000024452931,"about_ca_system_score_gemma":0.00030688732,"threshold_uncertainty_score":0.9989357},"labels":[],"label_agreement":null},{"id":"W1935988403","doi":"10.1016/j.sste.2015.09.001","title":"Comparing children’s GPS tracks with geospatial proxies for exposure to junk food","year":2015,"lang":"en","type":"article","venue":"Spatial and Spatio-temporal Epidemiology","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":35,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Geospatial analysis; Proxy (statistics); Misrepresentation; Global Positioning System; Junk food; Exposure assessment; Environmental health; Geography; Environmental science; Computer science; Cartography; Medicine","score_opus":0.08575169395660014,"score_gpt":0.3273206714734022,"score_spread":0.24156897751680206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1935988403","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.965549,0.0002702483,0.027421124,0.0043131374,0.00035670478,0.00132931,0.000060108585,0.000120668956,0.0005797133],"genre_scores_gemma":[0.99316263,0.000007683903,0.0048674997,0.0004877984,0.00086917076,0.00017720512,0.0002298469,0.00002021053,0.0001779248],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99750876,0.00040463958,0.0006161698,0.00060404156,0.00022381106,0.00064257556],"domain_scores_gemma":[0.99843013,0.00033199336,0.00026498572,0.00022156931,0.00023482271,0.00051652285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021845445,0.00025700234,0.0007410477,0.00008656275,0.00046831035,0.00004158067,0.0002688974,0.00023432565,0.00003679965],"category_scores_gemma":[0.0008822369,0.00020142131,0.000091650174,0.00017005048,0.00044315887,0.00026075094,0.00004334203,0.00019329792,0.0000063552884],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051293836,0.00006705577,0.98735666,0.000018557039,0.000037384816,9.58127e-7,0.0037611078,0.00012293187,0.000001432228,0.0025682044,0.00087090605,0.004681881],"study_design_scores_gemma":[0.0016192716,0.0022415943,0.97486514,0.000032344502,0.000055989494,0.0000015394354,0.00071491837,0.00045979285,0.00003373955,0.010415212,0.00912198,0.00043850607],"about_ca_topic_score_codex":0.041934714,"about_ca_topic_score_gemma":0.3210275,"teacher_disagreement_score":0.27909276,"about_ca_system_score_codex":0.00006578994,"about_ca_system_score_gemma":0.00029093513,"threshold_uncertainty_score":0.9644451},"labels":[],"label_agreement":null},{"id":"W1939074738","doi":"10.1002/atr.1323","title":"Human‐centered designs, characteristics of urban streets, and pedestrian perceptions","year":2015,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Pedestrian; Walkability; Urban design; Perception; Transport engineering; Geometric design; Community design; Empirical research; Applied psychology; Computer science; Psychology; Engineering; Built environment; Urban planning; Mathematics; Civil engineering; Statistics","score_opus":0.05182487947423119,"score_gpt":0.33300102673962395,"score_spread":0.28117614726539275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1939074738","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998278,0.00020353991,0.0008902651,0.00012197638,0.00020560874,0.00011178883,0.000031563137,0.000010156443,0.00014709208],"genre_scores_gemma":[0.99783975,0.00013223045,0.0017556,0.000010857405,0.00016678018,0.0000010074964,0.000026807158,0.0000069488074,0.00006003064],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99882334,0.000055339275,0.0005706864,0.00009379188,0.00033163096,0.00012522045],"domain_scores_gemma":[0.9988285,0.000024003262,0.00051610474,0.00006497724,0.00038952968,0.00017692319],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004070392,0.00008014873,0.00022627405,0.00008295579,0.000118629294,0.000019312132,0.00011315176,0.000060721195,0.00003837443],"category_scores_gemma":[0.000041718697,0.00007583514,0.000075904834,0.00013541941,0.00015812145,0.0006180548,8.395751e-7,0.000121903766,3.9376354e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017135138,0.00019191529,0.9572863,0.000042484648,0.000026924563,0.000014132017,0.030115644,0.00006968145,0.0051520704,0.00050773483,0.000082922736,0.006338819],"study_design_scores_gemma":[0.000880034,0.00016489171,0.98845243,0.00006934952,0.00007091717,3.8128925e-7,0.008539688,9.177258e-7,0.00016908698,0.0008398774,0.00073381513,0.000078587385],"about_ca_topic_score_codex":0.00010442801,"about_ca_topic_score_gemma":0.0010684245,"teacher_disagreement_score":0.031166134,"about_ca_system_score_codex":0.000044921726,"about_ca_system_score_gemma":0.00016365593,"threshold_uncertainty_score":0.30924672},"labels":[],"label_agreement":null},{"id":"W1939546338","doi":"10.1139/cjce-2015-0086","title":"Building sustainably safe and healthy communities with the Fused Grid development layout","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of British Columbia, Okanagan Campus","funders":"","keywords":"Sustainability; Subdivision; Retrofitting; Triple bottom line; Greenhouse gas; Grid; Sustainable development; Architectural engineering; Process (computing); Business; Engineering; Transport engineering; Computer science; Civil engineering","score_opus":0.022054616747055764,"score_gpt":0.23916222280975652,"score_spread":0.21710760606270074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1939546338","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9919837,0.0014134374,0.0023019237,0.0023161634,0.00023608205,0.00008064259,0.0000017098918,0.000009574285,0.0016567525],"genre_scores_gemma":[0.99907047,0.0000069195667,0.00058476196,0.00010009344,0.00017382577,0.000001240596,4.6811817e-7,0.000007889759,0.000054337168],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992876,0.000037017395,0.00016274472,0.00004144756,0.00018041818,0.0002907955],"domain_scores_gemma":[0.9990485,0.0000570501,0.00006978305,0.00006648272,0.00018312792,0.00057508546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010212512,0.00007327727,0.0001224125,0.00011217454,0.00037167175,0.00010763613,0.0002241386,0.000031666867,0.000020862599],"category_scores_gemma":[0.000051091527,0.000052792548,0.000017481778,0.00015498111,0.00012303916,0.00022984417,0.000005537594,0.00021568897,2.4434934e-7],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000099944096,0.000025526439,0.576553,0.00020711652,0.00018653263,0.0003656596,0.38189533,0.021568991,0.000013118954,0.00958302,0.005212196,0.004289537],"study_design_scores_gemma":[0.0011036022,0.00017117309,0.15184775,0.0002725884,0.00004506784,0.000031319665,0.08789144,0.000249132,0.000029406629,0.00030638595,0.75763386,0.0004182882],"about_ca_topic_score_codex":0.021397859,"about_ca_topic_score_gemma":0.8350465,"teacher_disagreement_score":0.81364864,"about_ca_system_score_codex":0.00027884173,"about_ca_system_score_gemma":0.002751136,"threshold_uncertainty_score":0.98511875},"labels":[],"label_agreement":null},{"id":"W1944526832","doi":"10.3141/2430-05","title":"Modeling Nonmotorized Travel Demand at Intersections in Calgary, Canada","year":2014,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"","keywords":"TRIPS architecture; Transport engineering; Pedestrian; Trip generation; Land use; Destinations; Travel behavior; Transit (satellite); Public transport; Business; Geography; Civil engineering; Tourism; Engineering","score_opus":0.07775778401629184,"score_gpt":0.38034677667894595,"score_spread":0.3025889926626541,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1944526832","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9895811,0.00010779396,0.0042477353,0.0032837808,0.0008448916,0.0008338691,0.000027178026,0.000016896474,0.0010567631],"genre_scores_gemma":[0.9977347,0.00030591886,0.00035975644,0.000054475087,0.00027403352,0.000050174047,0.000013563375,0.000034354274,0.0011730061],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99066466,0.0021909012,0.0014990738,0.0004429914,0.0041029924,0.0010993639],"domain_scores_gemma":[0.99557006,0.0009964111,0.000269678,0.00039258087,0.0022374047,0.00053386413],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.008252342,0.00021904804,0.00050290517,0.0007263097,0.0014467791,0.00011094565,0.001207868,0.00021418714,0.00048420107],"category_scores_gemma":[0.00037845064,0.0001785434,0.00030852816,0.0021389348,0.00069037423,0.0006400794,0.0000068802556,0.0021029734,0.000006556026],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010761772,0.00020234307,0.97922534,0.000119912074,0.000059646787,0.000064553176,0.009930615,0.003574749,0.0010402356,0.0018023974,0.0013581632,0.0015458921],"study_design_scores_gemma":[0.0017548974,0.0001660953,0.9768617,0.00025989357,0.000032958225,9.543147e-8,0.005648916,0.0033010507,0.0002945886,0.002685135,0.008766473,0.00022819813],"about_ca_topic_score_codex":0.9489315,"about_ca_topic_score_gemma":0.999087,"teacher_disagreement_score":0.05015545,"about_ca_system_score_codex":0.0012512481,"about_ca_system_score_gemma":0.002375517,"threshold_uncertainty_score":0.9998532},"labels":[],"label_agreement":null},{"id":"W194555144","doi":"10.15173/esr.v9i2.416","title":"Can Urban Form Affect Transportation Energy Use and Emissions?","year":2001,"lang":"en","type":"article","venue":"Energy Studies Review","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Metropolitan area; Status quo; Energy consumption; Consumption (sociology); Distribution (mathematics); Affect (linguistics); Land use; Environmental economics; Economic geography; Transport engineering; Natural resource economics; Geography; Environmental science; Regional science; Economics; Civil engineering; Mathematics; Engineering; Sociology","score_opus":0.062388961023426434,"score_gpt":0.3424495901318307,"score_spread":0.28006062910840424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W194555144","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15449658,0.83088833,0.0001526407,0.007174429,0.0003646223,0.0002844126,0.000021821843,0.00017709109,0.006440081],"genre_scores_gemma":[0.5462862,0.44985703,0.000035154757,0.0009858937,0.00010332681,0.000039817503,0.000021176884,0.0000072116413,0.0026641875],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987485,0.00012216535,0.0003088246,0.00029633555,0.00024434214,0.0002798696],"domain_scores_gemma":[0.99932563,0.00014012886,0.000108299,0.00017213474,0.00011198947,0.0001418354],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033361,0.00016130124,0.00040223022,0.0000315318,0.0005460077,0.000031078544,0.00012419026,0.000055821514,0.00012179187],"category_scores_gemma":[0.00013241942,0.00012476913,0.00011264512,0.000374409,0.00023141233,0.0003204134,0.000009311033,0.000056183875,7.972227e-7],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031974254,0.00016948204,0.61626667,0.0012914954,0.00033568288,0.00008230012,0.009109608,0.0000014762837,0.000021341195,0.04640565,0.044589225,0.2816951],"study_design_scores_gemma":[0.00013577726,0.000024247065,0.06266615,0.0007433397,0.00013434893,3.8066298e-7,0.0004206822,9.464236e-7,0.000019584255,0.00108645,0.93456477,0.00020330139],"about_ca_topic_score_codex":0.006660146,"about_ca_topic_score_gemma":0.076490745,"teacher_disagreement_score":0.88997555,"about_ca_system_score_codex":0.0000604602,"about_ca_system_score_gemma":0.000055118217,"threshold_uncertainty_score":0.9999546},"labels":[],"label_agreement":null},{"id":"W194632012","doi":"","title":"Examining the influence of the neighbourhood environment on childhood obesity","year":2008,"lang":"en","type":"dissertation","venue":"Summit (Simon Fraser University)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Neighbourhood (mathematics); Childhood obesity; Obesity; Built environment; Psychology; Geography; Environmental health; Medicine; Engineering; Mathematics; Overweight; Civil engineering","score_opus":0.012630429078195738,"score_gpt":0.2122975066169744,"score_spread":0.1996670775387787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W194632012","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9573261,0.00007405361,0.0000016770259,0.00009266604,0.00023411303,0.00041795807,0.00003666931,0.00003216008,0.041784596],"genre_scores_gemma":[0.98966974,0.00032443838,0.0000052676114,0.000062371255,0.00007769581,0.000001040441,0.000047683403,0.000013916385,0.00979784],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99816966,0.00024743116,0.0002118687,0.00040662315,0.0006733955,0.0002910461],"domain_scores_gemma":[0.99878305,0.00013816108,0.00036113386,0.00056664477,0.000063379266,0.000087599445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021658701,0.00023069304,0.00025393837,0.00010921166,0.001218184,0.000024370189,0.0013181227,0.0002930392,0.00025330207],"category_scores_gemma":[0.0000539373,0.00016991264,0.000210486,0.0005416255,0.00043846996,0.00022689052,0.000048384984,0.0005339931,0.000022407341],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037172245,0.00023502886,0.99606097,0.000018230065,0.000045968303,0.00001200752,0.0018850116,0.00025056116,0.0000026138468,0.0006014823,0.0002907017,0.00056024845],"study_design_scores_gemma":[0.00021878762,0.00003249304,0.9452254,0.00009526931,0.00009986034,4.315472e-10,0.036546532,6.84579e-7,0.00033331144,0.00012257515,0.017134054,0.00019104237],"about_ca_topic_score_codex":0.0027628937,"about_ca_topic_score_gemma":0.13180968,"teacher_disagreement_score":0.12904678,"about_ca_system_score_codex":0.00018698191,"about_ca_system_score_gemma":0.00033599662,"threshold_uncertainty_score":0.9369409},"labels":[],"label_agreement":null},{"id":"W1947502698","doi":"10.33524/cjar.v15i2.138","title":"MAKING TRACKS 1.0: ACTION RESEARCHING AN ACTIVE TRANSPORTATION EDUCATION PROGRAM","year":2015,"lang":"en","type":"article","venue":"The Canadian Journal of Action Research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Action research; Focus group; Mathematics education; Action (physics); Qualitative research; Pedagogy; Field trip; School teachers; Psychology; Medical education; Sociology; Political science; Medicine","score_opus":0.4939858546633471,"score_gpt":0.5682047907254586,"score_spread":0.0742189360621115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1947502698","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98578167,0.00008850634,0.000062229876,0.005318783,0.0006330536,0.00057404744,0.0000057873094,0.000017335904,0.0075185793],"genre_scores_gemma":[0.9982849,0.000018824501,0.00017904074,0.00003441247,0.0009538329,0.000024106059,0.000010048955,0.000011267276,0.0004836026],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9968113,0.0011221592,0.00028265157,0.00014197979,0.0011765207,0.0004654176],"domain_scores_gemma":[0.996817,0.00012427787,0.00016852276,0.00016451484,0.0019173822,0.00080829585],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.007487213,0.0000704346,0.00010741867,0.0005156775,0.0017824922,0.0004500846,0.0004726246,0.00011233056,0.00017510956],"category_scores_gemma":[0.0004802774,0.00005629914,0.0000651483,0.0008524646,0.0005212239,0.0016615124,0.000002071086,0.001076585,0.000009348001],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036250177,0.00021252234,0.04176327,0.000022735123,0.000035418405,0.000021018463,0.061808653,0.00009929304,0.00026782003,0.0016729156,0.0030161592,0.8907177],"study_design_scores_gemma":[0.0005377162,0.0006858833,0.6150911,0.00013996004,0.000043124957,0.000010761697,0.18831636,0.00010515985,0.001224064,0.022805462,0.1708098,0.00023064855],"about_ca_topic_score_codex":0.12706487,"about_ca_topic_score_gemma":0.86460924,"teacher_disagreement_score":0.8904871,"about_ca_system_score_codex":0.0012594437,"about_ca_system_score_gemma":0.013840531,"threshold_uncertainty_score":0.999517},"labels":[],"label_agreement":null},{"id":"W1951464143","doi":"","title":"Intrapersonal changes in social activity-travel patterns: linking time use and social network dynamics","year":2015,"lang":"en","type":"article","venue":"TU/e Research Portal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Intrapersonal communication; Context (archaeology); Interpersonal communication; Travel behavior; TRIPS architecture; Social capital; Social network (sociolinguistics); Experience sampling method; Psychology; Geography; Sociology; Social psychology; Computer science; Social media; World Wide Web; Economics","score_opus":0.14286875838478055,"score_gpt":0.3985332588154424,"score_spread":0.2556645004306618,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1951464143","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99306077,0.000044820994,0.00002410549,0.0026441168,0.00010444212,0.00031463805,0.000057278117,0.000044718236,0.00370514],"genre_scores_gemma":[0.99711573,0.00002966475,0.00003136694,0.000053165943,0.0019139744,0.000020996771,0.00006823086,0.000018484814,0.00074837863],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9967458,0.0005352365,0.00018580914,0.00038683412,0.0011724969,0.0009737859],"domain_scores_gemma":[0.9992068,0.00021907546,0.0000676295,0.00009040036,0.00020155414,0.00021453519],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039458126,0.0001402665,0.00026542792,0.00014110081,0.0009131072,0.0002900114,0.00027870387,0.0002537365,0.00019825753],"category_scores_gemma":[0.00010632034,0.00014465109,0.000056117544,0.00050698395,0.00073464634,0.0005853358,0.00009891596,0.00074620324,0.000013269843],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000121808334,0.00014097846,0.96499723,0.00003557667,0.000024164017,0.000118923715,0.019856365,6.881405e-7,0.00006223331,0.0029291802,0.0012376418,0.010475215],"study_design_scores_gemma":[0.0007602935,0.00007616631,0.98575485,0.00004467541,0.000011225386,9.396477e-7,0.007863604,0.0006841279,0.000015766544,0.0033743815,0.0011170659,0.00029690462],"about_ca_topic_score_codex":0.0072747055,"about_ca_topic_score_gemma":0.11911547,"teacher_disagreement_score":0.11184077,"about_ca_system_score_codex":0.00021169451,"about_ca_system_score_gemma":0.00048404819,"threshold_uncertainty_score":0.99933594},"labels":[],"label_agreement":null},{"id":"W1952830732","doi":"10.7202/1014554ar","title":"Mesurer l’accessibilité territoriale par les transports collectifs","year":2013,"lang":"fr","type":"article","venue":"Cahiers de géographie du Québec","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.009401469932124524,"score_gpt":0.22687906013008521,"score_spread":0.2174775901979607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1952830732","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9414927,0.010342673,0.00025860587,0.01356109,0.0052121445,0.0010885542,0.000051650473,0.00028403255,0.02770856],"genre_scores_gemma":[0.9456263,0.0009049848,0.0002910407,0.0006652269,0.0028355967,0.00022349307,0.000021903848,0.000074923395,0.0493565],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9951875,0.00067181163,0.0009479804,0.0010762395,0.0006976624,0.0014187666],"domain_scores_gemma":[0.9972598,0.0005323883,0.00032668767,0.0006815819,0.0002910138,0.0009085208],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.0011443053,0.00060532254,0.0007340681,0.00032246407,0.0019615167,0.00033813412,0.00095688336,0.0012227657,0.0062034815],"category_scores_gemma":[0.00023153514,0.000613797,0.0008469259,0.0025431581,0.01791534,0.001300988,0.000022455062,0.0010283332,0.00016207565],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000063460786,0.0005887746,0.91709065,0.00021459449,0.00017968837,0.000054765125,0.0151772,0.0000069300427,0.0004660348,0.0069823572,0.03376807,0.025407478],"study_design_scores_gemma":[0.000945681,0.00010494814,0.5109394,0.00012872255,0.00035639733,0.0000035772616,0.0016768168,0.0000150526785,0.00092214777,0.016821524,0.46712795,0.00095779006],"about_ca_topic_score_codex":0.49800205,"about_ca_topic_score_gemma":0.5126021,"teacher_disagreement_score":0.43335986,"about_ca_system_score_codex":0.0007696376,"about_ca_system_score_gemma":0.0017872944,"threshold_uncertainty_score":0.99963135},"labels":[],"label_agreement":null},{"id":"W195739447","doi":"","title":"Children's Neighbourhood Geographies: Examining Children's Perception and Use of Their Neighbourhood Environments for Healthy Activity","year":2013,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Children's Health Research Institute","keywords":"Neighbourhood (mathematics); Perception; Geography; Psychology; Social psychology; Mathematics","score_opus":0.07513139563559466,"score_gpt":0.2986364859129038,"score_spread":0.22350509027730914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W195739447","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973383,0.000046417037,0.0007323513,0.00019256416,0.00011256164,0.0013111014,0.00013249747,0.000090471956,0.00004374081],"genre_scores_gemma":[0.99895906,0.0001982143,0.000094690695,0.0001251171,0.00014311603,0.0000066653733,0.00005251722,0.000033264976,0.0003873528],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976227,0.00035338337,0.00029734697,0.00070704793,0.00038803526,0.00063146034],"domain_scores_gemma":[0.99854136,0.00020668724,0.00035457313,0.0004320653,0.0000878816,0.0003774612],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00045416664,0.00033141198,0.000429369,0.00037931264,0.0008004725,0.0003186429,0.00052821066,0.0002998516,0.000110989575],"category_scores_gemma":[0.000042818392,0.00034849506,0.0001788785,0.00041151085,0.00057683326,0.004416147,0.00014093006,0.00037701795,0.000013551636],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009716686,0.00021439332,0.99170315,0.0000243422,0.00008300204,0.0000011579738,0.0016663305,0.0000019760505,0.00061447243,0.000025563382,3.0217194e-7,0.005568117],"study_design_scores_gemma":[0.0010906961,0.00023196923,0.9969053,0.00005929035,0.000088958805,0.0000011552482,0.0008388703,3.7362884e-7,0.00024361546,0.00012495051,0.00006662006,0.00034818263],"about_ca_topic_score_codex":0.0006977234,"about_ca_topic_score_gemma":0.003632659,"teacher_disagreement_score":0.0052199345,"about_ca_system_score_codex":0.00013706324,"about_ca_system_score_gemma":0.00008529846,"threshold_uncertainty_score":0.9998967},"labels":[],"label_agreement":null},{"id":"W195751758","doi":"","title":"Examining Travel Distances by Walking and Cycling, Montréal, Canada","year":2010,"lang":"en","type":"article","venue":"Transportation Research Board 89th Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cycling; Destinations; Mile; Travel survey; Work (physics); Transport engineering; Geography; Popularity; Journey to work; Distance decay; Vehicle miles of travel; Kilometer; Transportation planning; Travel behavior; Business; Engineering; Public transport; Psychology; Tourism; Economic geography","score_opus":0.04565784726367712,"score_gpt":0.3643379945692649,"score_spread":0.3186801473055878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W195751758","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9869689,0.0009684706,0.00022464854,0.0031248461,0.00044205794,0.0014281106,0.00075790915,0.00018759686,0.00589746],"genre_scores_gemma":[0.99433607,0.00081696315,0.0008859101,0.000107498454,0.00038410292,0.00027377906,0.00043452345,0.000083319064,0.002677857],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98785204,0.0011533429,0.0012847523,0.0014680554,0.0058563747,0.0023854354],"domain_scores_gemma":[0.99300224,0.002105374,0.0002547831,0.000571602,0.0026772316,0.0013887786],"candidate_categories":["metaepi_narrow","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00976026,0.0004558066,0.0006076533,0.0005894353,0.0037260079,0.0004641854,0.0009989196,0.00046525308,0.00069556234],"category_scores_gemma":[0.00091225054,0.00047547455,0.00012733124,0.0020511989,0.0025081646,0.0013436527,0.000013837226,0.0031795227,0.000016381102],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005675271,0.00031792026,0.90552455,0.00037367264,0.000094881725,0.00021758265,0.039049126,0.000024927524,0.012074626,0.006811622,0.021839613,0.013103937],"study_design_scores_gemma":[0.0010924255,0.00017818747,0.8198113,0.00014249355,0.000035799363,1.2561706e-7,0.06164928,0.000039593004,0.0018397463,0.0013885417,0.11317099,0.0006515447],"about_ca_topic_score_codex":0.9267614,"about_ca_topic_score_gemma":0.99389803,"teacher_disagreement_score":0.09133137,"about_ca_system_score_codex":0.00026003923,"about_ca_system_score_gemma":0.0023406583,"threshold_uncertainty_score":0.9997697},"labels":[],"label_agreement":null},{"id":"W1963570368","doi":"10.1371/journal.pone.0041418","title":"Association between Activity Space Exposure to Food Establishments and Individual Risk of Overweight","year":2012,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":138,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institut National de Santé Publique du Québec; Université de Montréal","funders":"Canadian Institutes of Health Research","keywords":"Overweight; Environmental health; Residence; Multilevel model; Quartile; Convenience food; Neighbourhood (mathematics); Medicine; Exposure assessment; Geography; Demography; Body mass index; Confidence interval; Statistics; Food science; Mathematics","score_opus":0.06220790826889865,"score_gpt":0.26768151763235387,"score_spread":0.2054736093634552,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1963570368","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976057,0.00008851477,0.000018914816,0.0003669556,0.00004211324,0.00024592548,0.0001939708,0.00002609949,0.0014117954],"genre_scores_gemma":[0.9989421,0.00002383817,0.00042195403,0.0000134700595,0.00028572758,0.000006868438,0.0000072838943,0.0000051168886,0.00029366696],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987235,0.00014073409,0.00011929854,0.00013046351,0.00062725873,0.00025871745],"domain_scores_gemma":[0.99932075,0.00017706507,0.0001723029,0.00010322662,0.00006723633,0.00015943554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010124432,0.000066999426,0.00018538571,0.000041005198,0.00016694107,0.00003716094,0.000111925874,0.0001066569,0.0000664938],"category_scores_gemma":[0.00033894047,0.00006680104,0.000028455914,0.00020727875,0.000038159815,0.00060107536,0.000031490785,0.0001157906,0.0000049689083],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007323422,0.0005061121,0.99081385,0.000017875353,0.00023558427,2.8222104e-8,0.0073378487,2.548764e-8,0.00030123454,0.00003352286,0.00007325679,0.0006733335],"study_design_scores_gemma":[0.00016016047,0.000079890764,0.9903561,0.000018883706,0.0002864714,1.1744461e-9,0.00020622638,1.3681189e-7,0.008440598,0.00017830565,0.00019647101,0.00007678195],"about_ca_topic_score_codex":0.0009069185,"about_ca_topic_score_gemma":0.0010444134,"teacher_disagreement_score":0.008139363,"about_ca_system_score_codex":0.0000780766,"about_ca_system_score_gemma":0.000030670406,"threshold_uncertainty_score":0.27240673},"labels":[],"label_agreement":null},{"id":"W1963579765","doi":"10.1016/j.ypmed.2009.10.013","title":"Making kid-friendly cities: Lessons from two cities","year":2009,"lang":"en","type":"article","venue":"Preventive Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Medicine; Neighbourhood (mathematics); Physical activity; Cognition; Public relations; Political science","score_opus":0.06460748214422178,"score_gpt":0.3980227476743378,"score_spread":0.333415265530116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1963579765","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7912002,0.0029907848,0.006095298,0.01872666,0.0009647785,0.00043077697,0.00005044758,0.00024295364,0.17929807],"genre_scores_gemma":[0.99218154,0.000080204,0.0003448251,0.0006434414,0.0014268986,0.0000075346693,0.00003280743,0.000007880889,0.0052748527],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982684,0.00017700788,0.000312203,0.00034614254,0.0005176502,0.00037859703],"domain_scores_gemma":[0.99921846,0.00019688564,0.00013623259,0.00022397576,0.000101637124,0.00012277672],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00069608085,0.0001571494,0.00031330084,0.000077261335,0.00043814094,0.000035604215,0.0003675873,0.00006348495,0.0032031771],"category_scores_gemma":[0.00022776349,0.00013053043,0.00009174028,0.00028594586,0.0007011175,0.00030310743,0.000019582683,0.00018875439,0.000021253692],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017971486,0.00029797995,0.49038786,0.000052579777,0.00019457556,0.00010467359,0.22839047,0.0000064709607,0.0010794689,0.096891806,0.014356111,0.16805829],"study_design_scores_gemma":[0.0018856606,0.00024067906,0.5779341,0.00077306194,0.00021907293,3.2566706e-7,0.044295724,0.000026748778,0.0003586854,0.29609036,0.077683605,0.0004919927],"about_ca_topic_score_codex":0.004300227,"about_ca_topic_score_gemma":0.00362927,"teacher_disagreement_score":0.20098133,"about_ca_system_score_codex":0.00008692318,"about_ca_system_score_gemma":0.00010832077,"threshold_uncertainty_score":0.997708},"labels":[],"label_agreement":null},{"id":"W1964095050","doi":"10.3141/2375-06","title":"Urban Transportation Greenhouse Gas Emissions and Their Link with Urban Form, Transit Accessibility, and Emerging Green Technologies","year":2013,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval; Concordia University; McGill University","funders":"","keywords":"Greenhouse gas; Transport engineering; Train; Transit (satellite); Public transport; Fuel efficiency; Environmental science; Business; Land use; Environmental economics; Natural resource economics; Engineering; Economics; Automotive engineering; Geography; Civil engineering","score_opus":0.06079235575188115,"score_gpt":0.3646449326970965,"score_spread":0.3038525769452154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1964095050","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97839975,0.0008774687,0.0010171377,0.017041115,0.00015525543,0.002067311,0.000095644406,0.00015036983,0.00019596152],"genre_scores_gemma":[0.99562573,0.002323594,0.0009638929,0.000043155087,0.00020570705,0.00015221498,0.000029338053,0.00007046312,0.0005858956],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9924024,0.00097624265,0.0015771755,0.0008027355,0.0029236437,0.0013178553],"domain_scores_gemma":[0.99426067,0.0009932425,0.0005590063,0.0006055308,0.0029049239,0.0006766207],"candidate_categories":["metaepi_narrow","sts","research_integrity"],"consensus_categories":["sts"],"category_scores_codex":[0.0041199643,0.0004511851,0.000714288,0.0010263453,0.0022419232,0.0004276381,0.0013542173,0.00043640894,0.0002897291],"category_scores_gemma":[0.0001394478,0.00029872174,0.00031013243,0.0026332426,0.0030179422,0.0027146651,0.000009084184,0.0025684652,0.000004784379],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00066843146,0.00022399033,0.91569126,0.0003532824,0.00014743344,0.000040696304,0.03520366,0.000016593252,0.0015951353,0.0012645898,0.0013652353,0.043429695],"study_design_scores_gemma":[0.0015595965,0.00059364975,0.9486336,0.00046061876,0.0000928299,3.8356882e-7,0.027613735,0.00006567045,0.00089249964,0.01157834,0.008138603,0.0003704394],"about_ca_topic_score_codex":0.05319959,"about_ca_topic_score_gemma":0.25994012,"teacher_disagreement_score":0.20674051,"about_ca_system_score_codex":0.00018764308,"about_ca_system_score_gemma":0.00078613864,"threshold_uncertainty_score":0.9999465},"labels":[],"label_agreement":null},{"id":"W1964250536","doi":"10.1016/j.tbs.2015.03.003","title":"Children’s travel and incidental community connections","year":2015,"lang":"en","type":"article","venue":"Travel Behaviour and Society","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Criminology; Forensic engineering; Psychology; Transport engineering; Computer security; Medical emergency; Engineering; Medicine; Computer science","score_opus":0.04951170756259962,"score_gpt":0.3137116411536785,"score_spread":0.26419993359107885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1964250536","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99598855,0.00016335407,0.00013461764,0.00024737883,0.0001161395,0.00019326458,0.000054844037,0.00005404243,0.003047808],"genre_scores_gemma":[0.9990083,0.000078668745,0.0001654102,0.00014111988,0.00011707267,0.000008075165,0.000029202674,0.000008239443,0.00044393277],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99905825,0.00014928085,0.00016088095,0.00017485909,0.00022158989,0.00023516032],"domain_scores_gemma":[0.99940234,0.000049203434,0.00004280954,0.00013326187,0.00006922763,0.0003031301],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00092188973,0.00011477706,0.00016841319,0.000014433249,0.00128605,0.00009801873,0.00013621447,0.0001486734,0.000034388122],"category_scores_gemma":[0.000023251006,0.00011227222,0.0000890143,0.000111697336,0.00069467427,0.000252287,0.000032628966,0.00037404196,0.0000021063777],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003654862,0.000115252136,0.92612356,0.0000032099647,0.000011859024,5.2062643e-7,0.072183825,5.2265968e-8,0.00003203987,0.00070638396,0.00046570785,0.0003539633],"study_design_scores_gemma":[0.0005340089,0.000033572873,0.92689574,0.000004813985,0.000051786978,0.0000025094776,0.0715226,0.0000046735618,0.00005226297,0.00072554033,0.000036939582,0.00013556212],"about_ca_topic_score_codex":0.03208857,"about_ca_topic_score_gemma":0.0061099385,"teacher_disagreement_score":0.02597863,"about_ca_system_score_codex":0.000061644845,"about_ca_system_score_gemma":0.00010946214,"threshold_uncertainty_score":0.98913866},"labels":[],"label_agreement":null},{"id":"W1965065347","doi":"10.1007/s11205-010-9585-8","title":"Time and Money: A New Look at Poverty and the Barriers to Physical Activity in Canada","year":2010,"lang":"en","type":"article","venue":"Social Indicators Research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":92,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Saint Mary's University; McMaster University","funders":"Nova Scotia Health Research Foundation","keywords":"Poverty; Quality of Life Research; Public health; Demographic economics; Human geography; Public economics; Economics; Economic growth; Medicine","score_opus":0.023663748349118576,"score_gpt":0.35292558613264474,"score_spread":0.3292618377835262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965065347","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9815581,0.000019782141,1.9695872e-7,0.013994811,0.000049729762,0.00039704383,0.000016932916,0.000009221006,0.00395419],"genre_scores_gemma":[0.99823534,0.0000067378132,0.0000030776844,0.00019836635,0.00026618276,0.000015678568,9.5235623e-7,0.0000068387735,0.0012668285],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979954,0.0003696956,0.00008363059,0.0002772833,0.000785064,0.00048893143],"domain_scores_gemma":[0.9988495,0.0003780671,0.000027337373,0.000118849865,0.000032815205,0.0005934218],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0016129221,0.0000781457,0.00018063093,0.00008312486,0.0013231585,0.00007565038,0.00029276483,0.00009286532,0.00028452778],"category_scores_gemma":[0.0005080314,0.00005781474,0.000029124343,0.00070354843,0.0015120103,0.00012884889,0.00014036435,0.00068036525,0.000009398279],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032735997,0.000044750646,0.9038857,0.000009537844,0.000020002954,0.000009277567,0.05899024,1.2103077e-7,0.0008560084,0.0017460973,0.017025564,0.01708532],"study_design_scores_gemma":[0.00079925277,0.000015546611,0.9758102,0.000004357322,0.000007237191,8.464879e-8,0.003985542,0.000043472824,0.00043339827,0.0027904457,0.015942894,0.00016752047],"about_ca_topic_score_codex":0.94180614,"about_ca_topic_score_gemma":0.9870353,"teacher_disagreement_score":0.07192453,"about_ca_system_score_codex":0.0003755254,"about_ca_system_score_gemma":0.004042649,"threshold_uncertainty_score":0.999977},"labels":[],"label_agreement":null},{"id":"W1965083124","doi":"10.3390/en4010026","title":"Spatial Variation and Distribution of Urban Energy Consumptions from Cities in China","year":2010,"lang":"en","type":"article","venue":"Energies","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"National Natural Science Foundation of China","keywords":"Theil index; Per capita; Geography; Energy consumption; Beijing; Mainland China; Index (typography); China; Distribution (mathematics); Economic geography; Population; Demography","score_opus":0.007885585612361828,"score_gpt":0.24242382531564713,"score_spread":0.2345382397032853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965083124","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99786955,0.00007410739,0.0004977084,0.00014817272,0.00023956111,0.000025927691,0.00008368165,0.000022921613,0.001038379],"genre_scores_gemma":[0.99948394,0.00004514259,0.000079672005,0.000005702339,0.00013319426,0.000005265335,0.00010566448,0.000002087056,0.00013935033],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995275,0.0000407352,0.00013064456,0.00010472965,0.00010857279,0.00008781868],"domain_scores_gemma":[0.99975884,0.000063508734,0.000051861738,0.00007427527,0.0000254447,0.000026072601],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013399485,0.00004538949,0.00008502159,0.000026605252,0.000114528295,0.000025079362,0.00006664308,0.00006974624,0.00012474414],"category_scores_gemma":[0.000058566133,0.00004436806,0.000018456567,0.00008142659,0.0002770026,0.00018089623,0.000010179966,0.00006181997,3.2733678e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009151834,0.00003093753,0.9020585,0.0000028252734,0.000004118464,3.7468394e-7,0.006540483,0.000013041312,0.0022595637,0.08742873,0.000037818267,0.0016144937],"study_design_scores_gemma":[0.000117739655,0.000004472558,0.98560625,0.000005271685,0.0000063044467,1.3221235e-8,0.00031895094,0.000056818866,0.0009973687,0.011984653,0.0008518353,0.000050316117],"about_ca_topic_score_codex":0.17578806,"about_ca_topic_score_gemma":0.16395374,"teacher_disagreement_score":0.0835478,"about_ca_system_score_codex":0.0000110645105,"about_ca_system_score_gemma":0.00004927184,"threshold_uncertainty_score":0.8513019},"labels":[],"label_agreement":null},{"id":"W1965109510","doi":"10.1016/j.socscimed.2012.08.013","title":"Moving beyond walkability: On the potential of health geography","year":2012,"lang":"en","type":"review","venue":"Social Science & Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":155,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Economic and Social Research Council","keywords":"Walkability; Scope (computer science); Context (archaeology); Constructive; Agency (philosophy); Sociology; Health geography; Built environment; Public health; Regional science; Public relations; Geography; Social science; Political science; Health promotion; Medicine; Engineering; International health; Computer science; Civil engineering","score_opus":0.06147614570470047,"score_gpt":0.3886663309673866,"score_spread":0.3271901852626862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965109510","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001148956,0.9698349,0.000020670048,0.0038269847,0.0016296572,0.0011499339,0.000024233275,0.00005485155,0.02230981],"genre_scores_gemma":[0.13331762,0.8634723,0.0000064056985,0.00044853918,0.002565956,0.000027650569,0.00001726196,0.00001987801,0.00012439108],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9943827,0.0008111193,0.0009879203,0.0005796183,0.0022597383,0.00097894],"domain_scores_gemma":[0.99773484,0.0003522508,0.00097470084,0.00043633024,0.00021053344,0.00029134858],"candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.015761936,0.0003083374,0.0014901651,0.00027773491,0.0029616281,0.00004743185,0.0016923987,0.00022771873,0.00065010757],"category_scores_gemma":[0.00047325157,0.00017396512,0.00048810997,0.0029919886,0.011195713,0.00029113048,0.000068295034,0.00058532093,0.000009196225],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000018557794,0.00007679283,0.0014439697,0.000923227,0.000017303406,5.374857e-7,0.010442557,1.0679989e-8,5.784633e-7,0.009158941,0.00020654793,0.97772765],"study_design_scores_gemma":[0.00011703761,0.00008901512,0.0051996303,0.0021135146,0.00038469493,2.6102896e-7,0.0036648002,2.1092507e-7,3.3042937e-7,0.0045998236,0.98353577,0.0002949363],"about_ca_topic_score_codex":0.005235849,"about_ca_topic_score_gemma":0.00031532114,"teacher_disagreement_score":0.9833292,"about_ca_system_score_codex":0.00035355487,"about_ca_system_score_gemma":0.002229113,"threshold_uncertainty_score":0.9983364},"labels":[],"label_agreement":null},{"id":"W1965605253","doi":"10.1007/s11116-005-0328-7","title":"Household Mobility Tool Ownership: Modeling Interactions between Cars and Season Tickets","year":2006,"lang":"en","type":"article","venue":"Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":84,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Bundesministerium für Forschung und Technologie","keywords":"Multivariate probit model; Car ownership; Probit; Bivariate analysis; German; Probit model; Econometrics; Computer science; Set (abstract data type); Business; Transport engineering; Economics; Geography; Public transport; Engineering; Machine learning","score_opus":0.04599913456405814,"score_gpt":0.29946850689669086,"score_spread":0.2534693723326327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965605253","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940266,0.000066155895,0.003926702,0.00022983017,0.000097138756,0.0002549744,0.00007909681,0.00015819057,0.0011613267],"genre_scores_gemma":[0.9989394,0.000010289031,0.00032712042,0.0000181288,0.00019400322,0.000015325895,0.00019730875,0.0000107855085,0.0002876238],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989097,0.000049350383,0.00029278992,0.00027684736,0.00025183122,0.00021949413],"domain_scores_gemma":[0.99962103,0.00005904329,0.00006328664,0.00012326128,0.00006361583,0.00006977271],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035099612,0.0001047564,0.0001439133,0.000046146375,0.00033293533,0.000055604396,0.00008735293,0.00008233137,0.00005565205],"category_scores_gemma":[0.000009266107,0.00010499205,0.00006591659,0.0001854136,0.00011664883,0.0005991973,0.0000010305515,0.00013644762,0.00000276655],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010988999,0.00004890067,0.9938157,0.000021240812,0.0000069425623,0.0000015490965,0.0027729857,0.00083068415,0.00009657757,0.00077908294,0.000019054907,0.0015962494],"study_design_scores_gemma":[0.0001883923,0.000007788987,0.99428916,0.000017623392,0.00007061085,2.847078e-8,0.00078536454,0.0005024209,0.000098129065,0.0033832672,0.0005249909,0.00013221988],"about_ca_topic_score_codex":0.018931814,"about_ca_topic_score_gemma":0.054534372,"teacher_disagreement_score":0.03560256,"about_ca_system_score_codex":0.00005956605,"about_ca_system_score_gemma":0.00006179696,"threshold_uncertainty_score":0.9876012},"labels":[],"label_agreement":null},{"id":"W1965634486","doi":"10.3141/2357-14","title":"Modeling Frequency and Duration of Out-of-Home Participation in Physical Activity by School-Age Children","year":2013,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Foreign Affairs and International Trade Canada; Bangladesh University of Engineering and Technology","keywords":"Duration (music); Context (archaeology); Hazard; Logistic regression; Metropolitan area; Psychology; Poisson regression; Physical activity; Demography; Geography; Demographic economics; Environmental health; Statistics; Medicine; Mathematics; Economics; Sociology; Population; Physical therapy","score_opus":0.0932366821281809,"score_gpt":0.42388373972732435,"score_spread":0.3306470575991435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965634486","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966024,0.000111676316,0.0008276089,0.0010698051,0.00013162679,0.0011185581,0.000045782814,0.000010911057,0.00008162089],"genre_scores_gemma":[0.9990135,0.00034913636,0.0003736223,0.0000047343174,0.00009195563,0.000054842258,0.000015835605,0.000019632682,0.00007673019],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9941816,0.0012339208,0.00112918,0.0003115982,0.0025682033,0.00057550403],"domain_scores_gemma":[0.99649143,0.00047783027,0.00043314236,0.0002617248,0.00202794,0.00030791704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003657262,0.0001611951,0.0004564323,0.00053382415,0.00035065674,0.000081302234,0.0005845972,0.00016728118,0.00016297003],"category_scores_gemma":[0.00022465501,0.00012926613,0.00020442263,0.001330796,0.00091698836,0.0015803092,0.000004361635,0.0012050725,0.0000036463348],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029572705,0.00053080043,0.97282094,0.000120569275,0.000044112476,0.000004064504,0.008956355,0.00042484564,0.0121740345,0.00070496066,0.00009338921,0.0038301742],"study_design_scores_gemma":[0.000810823,0.00018361972,0.9855548,0.0001687004,0.000027426651,1.6149901e-8,0.0013038203,0.0006652831,0.0016887926,0.009463673,0.000016200556,0.00011685573],"about_ca_topic_score_codex":0.09813315,"about_ca_topic_score_gemma":0.122723214,"teacher_disagreement_score":0.024590062,"about_ca_system_score_codex":0.00015595909,"about_ca_system_score_gemma":0.00054519036,"threshold_uncertainty_score":0.90787244},"labels":[],"label_agreement":null},{"id":"W1966193456","doi":"10.3141/1898-12","title":"Household Allocation Module of Oregon2 Model","year":2004,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"University of Washington; University of Michigan","keywords":"Microsimulation; Household income; Population; Census; Disequilibrium; Microdata (statistics); Econometrics; Car ownership; Economics; Statistics; Geography; Transport engineering; Mathematics; Engineering; Demography; Public transport","score_opus":0.14761277092503058,"score_gpt":0.4121499439243816,"score_spread":0.264537172999351,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1966193456","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98644984,0.00020719974,0.006535658,0.0046967426,0.0003527723,0.0009629282,0.00008145156,0.000037056503,0.000676378],"genre_scores_gemma":[0.9951384,0.0008076099,0.002975349,0.000038280916,0.00019890726,0.000038609163,0.00001561542,0.00004403251,0.0007431729],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9908897,0.00089756167,0.0016261407,0.0004149312,0.005239233,0.00093238614],"domain_scores_gemma":[0.9934391,0.0004655238,0.0006350282,0.0005558087,0.004450534,0.00045401612],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0070399945,0.00022016959,0.00048830756,0.000852805,0.0010348322,0.00010625162,0.0016288661,0.00027478806,0.00016643277],"category_scores_gemma":[0.00025075497,0.0001747882,0.0005010983,0.0027272257,0.001817811,0.0012129695,0.0000057827797,0.0017590418,0.000007907925],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021239773,0.0015263574,0.7937401,0.0005290152,0.00024596605,0.00007451172,0.035434503,0.07671307,0.010377901,0.071905866,0.0024216056,0.004907107],"study_design_scores_gemma":[0.0020414125,0.00034418894,0.9335318,0.00040455832,0.000074005795,7.170961e-8,0.0043807086,0.00016870725,0.0058054524,0.050074182,0.002930139,0.00024472954],"about_ca_topic_score_codex":0.046413552,"about_ca_topic_score_gemma":0.18864538,"teacher_disagreement_score":0.14223184,"about_ca_system_score_codex":0.00043766122,"about_ca_system_score_gemma":0.0025392137,"threshold_uncertainty_score":0.95993644},"labels":[],"label_agreement":null},{"id":"W1966196247","doi":"10.5539/jsd.v1n1p36","title":"Modelling Household Travel Behaviour to Promote Educational Values of Sustainability","year":2009,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Sustainability; Index (typography); Capital (architecture); Economics; Geography; Computer science; Ecology","score_opus":0.026246582772380535,"score_gpt":0.29807428837816435,"score_spread":0.27182770560578384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1966196247","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9888686,0.00012991797,0.0057417257,0.0037611213,0.00010582915,0.0004890797,0.0000013510742,0.000010368802,0.0008920052],"genre_scores_gemma":[0.98591423,0.000009872622,0.01050111,0.000070908965,0.00014372414,0.0000056210283,0.0000015790854,0.000007890431,0.0033450394],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975737,0.00007345961,0.00086656597,0.00019016056,0.0008004932,0.00049561897],"domain_scores_gemma":[0.99709445,0.000044749213,0.00039804034,0.00014226408,0.0020343876,0.0002861231],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025364046,0.00013938929,0.00032716198,0.00027887526,0.00038395866,0.00006640953,0.00042493237,0.00008664475,0.00006107346],"category_scores_gemma":[0.00022486468,0.00012740704,0.00012132829,0.0005467861,0.000094518,0.00054761505,0.000021873011,0.00019701592,6.506013e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00082746154,0.005825616,0.57285285,0.000679215,0.00018142154,0.00035741605,0.3208777,0.036837958,0.000290577,0.03908247,0.0029679763,0.019219344],"study_design_scores_gemma":[0.00057960144,0.00027023992,0.8419533,0.000109126595,0.000060250797,0.0000035009168,0.08146049,0.00004030564,0.002433261,0.06617163,0.0065366304,0.000381661],"about_ca_topic_score_codex":0.0003386976,"about_ca_topic_score_gemma":0.000019484296,"teacher_disagreement_score":0.26910046,"about_ca_system_score_codex":0.0011258546,"about_ca_system_score_gemma":0.005171802,"threshold_uncertainty_score":0.91745543},"labels":[],"label_agreement":null},{"id":"W1966254328","doi":"10.1016/j.healthplace.2004.05.005","title":"Residents’ perceptions of walkability attributes in objectively different neighbourhoods: a pilot study","year":2004,"lang":"en","type":"article","venue":"Health & Place","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":439,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Vancouver Community College","funders":"National Medical Research Council; National Health and Medical Research Council","keywords":"Walkability; Neighbourhood (mathematics); Built environment; Geography; Perception; Environmental health; Level design; Transport engineering; Diversity (politics); Poison control; Psychology; Medicine; Computer science; Sociology; Engineering; Civil engineering; Mathematics","score_opus":0.05045184116383194,"score_gpt":0.36001329043747593,"score_spread":0.309561449273644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1966254328","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99479854,0.00016895488,0.00014302645,0.003044006,0.00013139966,0.0012105737,0.000033609176,0.00005859759,0.00041131524],"genre_scores_gemma":[0.99951583,0.000052890307,0.000089917965,0.00011324503,0.00006541004,0.000045647983,0.0000064020937,0.000007667887,0.000102968836],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99764687,0.00049908017,0.00056027225,0.00038077644,0.00045702662,0.00045599323],"domain_scores_gemma":[0.9990786,0.0001955443,0.00016741434,0.00026952213,0.00009016389,0.00019879243],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015465781,0.00013131938,0.00036858302,0.000092205104,0.00040218205,0.000025149066,0.00025983536,0.00004593251,0.00020032706],"category_scores_gemma":[0.00022674838,0.00011968342,0.00005321302,0.00047655715,0.00021052246,0.00023532425,0.00002979743,0.00024553796,0.000010087459],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001063024,0.002878499,0.96897745,0.000055164703,0.000005793265,0.000001915372,0.027374368,0.000022325223,0.000022801727,0.00030797723,0.000034716362,0.00021269952],"study_design_scores_gemma":[0.0010189662,0.0008547148,0.98015225,0.000055779838,0.000006583448,7.8855706e-8,0.015496162,0.0000013911556,0.000013276282,0.0022834297,0.000019192541,0.00009816914],"about_ca_topic_score_codex":0.15790966,"about_ca_topic_score_gemma":0.43736267,"teacher_disagreement_score":0.279453,"about_ca_system_score_codex":0.00088931323,"about_ca_system_score_gemma":0.0008928352,"threshold_uncertainty_score":0.8476979},"labels":[],"label_agreement":null},{"id":"W1966288988","doi":"10.1016/j.healthplace.2014.07.008","title":"A geography of moral hazard: Sources and sinks of motor-vehicle commuting externalities","year":2014,"lang":"en","type":"article","venue":"Health & Place","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Externality; Moral hazard; Poison control; Hazard; Business; Economics; Public economics; Transport engineering; Incentive; Environmental health; Microeconomics; Engineering; Medicine; Ecology","score_opus":0.02323447045448407,"score_gpt":0.30290441607579627,"score_spread":0.2796699456213122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1966288988","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950192,0.0015890703,0.000105052335,0.0007570867,0.00006195323,0.00013126104,0.0000147186,0.00003370052,0.002287988],"genre_scores_gemma":[0.99913573,0.00009733507,0.0004516356,0.00016933879,0.00005954685,0.0000022994843,0.0000016884071,0.000004650554,0.00007776498],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99896187,0.00018442393,0.00029060998,0.00011363807,0.00021807161,0.00023140015],"domain_scores_gemma":[0.9993661,0.00018259832,0.00017456315,0.00012292786,0.000046654368,0.000107141255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011735561,0.00006531453,0.00022432194,0.000046403602,0.00024267504,0.0000175709,0.00014002773,0.0000517038,0.000023994055],"category_scores_gemma":[0.00003360957,0.00006213844,0.000046563106,0.00011486481,0.00044475807,0.00011437496,0.000015745483,0.00009402263,4.115434e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018328466,0.000026816031,0.9863711,0.00023320115,0.0000048635297,1.1713512e-7,0.008431806,0.0000034188297,0.000032523112,0.0012764102,0.00006387819,0.0035375531],"study_design_scores_gemma":[0.00029438097,0.00010894337,0.9897863,0.00011491298,0.000007389893,1.2374154e-7,0.003144942,0.00025621112,0.00018804627,0.00254636,0.0034620087,0.000090334],"about_ca_topic_score_codex":0.018475145,"about_ca_topic_score_gemma":0.0039037804,"teacher_disagreement_score":0.014571365,"about_ca_system_score_codex":0.000014716019,"about_ca_system_score_gemma":0.00008648109,"threshold_uncertainty_score":0.9880609},"labels":[],"label_agreement":null},{"id":"W1966453412","doi":"10.3141/2419-09","title":"Park-and-Ride Access Station Choice Model for Cross-Regional Commuting","year":2014,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Park and ride; Transport engineering; Transit (satellite); Geography; Service (business); Public transport; Survey data collection; Business; Engineering; Marketing","score_opus":0.2342430146047022,"score_gpt":0.4991918190588881,"score_spread":0.2649488044541859,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1966453412","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.966526,0.00013051364,0.02503435,0.0062675257,0.0003293009,0.0012982253,0.00008815325,0.000038378534,0.00028759634],"genre_scores_gemma":[0.99549234,0.0004051796,0.0022910968,0.00014245362,0.0004407603,0.000110591835,0.000040852035,0.000045472174,0.0010312713],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99199826,0.0014322215,0.0014174482,0.0004907615,0.0035882662,0.001073057],"domain_scores_gemma":[0.98947555,0.004021159,0.0005943652,0.00039640616,0.004995932,0.00051656755],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.012280351,0.00023534549,0.00044840586,0.0006122434,0.0026268777,0.00056287815,0.0016305496,0.0002452998,0.00011746576],"category_scores_gemma":[0.0010185316,0.00019071442,0.00038180142,0.0013485723,0.0017453036,0.0019217673,0.000009482072,0.0015905029,0.0000034755583],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009856853,0.00018409242,0.9623986,0.00028002288,0.00007401041,0.0000036558897,0.010025547,0.004047762,0.0003649167,0.011080729,0.002715248,0.007839758],"study_design_scores_gemma":[0.0016943985,0.00019172476,0.94438106,0.00020009044,0.000051595434,4.5729138e-8,0.0015235632,0.005942203,0.00019430534,0.025326168,0.020277424,0.00021744803],"about_ca_topic_score_codex":0.030450149,"about_ca_topic_score_gemma":0.26735473,"teacher_disagreement_score":0.23690458,"about_ca_system_score_codex":0.00023640669,"about_ca_system_score_gemma":0.0009924634,"threshold_uncertainty_score":0.9986716},"labels":[],"label_agreement":null},{"id":"W1966571459","doi":"10.1016/j.jtrangeo.2014.11.004","title":"Spatiotemporal accessibility to supermarkets using public transit: an interaction potential approach in Cincinnati, Ohio","year":2014,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":196,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Fonds Wetenschappelijk Onderzoek; National Institute for Transportation and Communities; National Science Foundation","keywords":"Public transport; Work (physics); Transport engineering; Business; Grocery store; Population; Transit (satellite); Geography; Marketing; Advertising; Environmental health; Engineering; Medicine","score_opus":0.03399639781307266,"score_gpt":0.314395817769755,"score_spread":0.2803994199566823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1966571459","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9672404,0.000049719292,0.029816946,0.0005846784,0.000626106,0.00032205405,0.00001170915,0.00003340086,0.001314987],"genre_scores_gemma":[0.9954553,0.000016560396,0.0038708465,0.00014624935,0.00046151452,0.0000035516682,0.000022151751,0.000019188763,0.000004603893],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9964928,0.0004715402,0.0011838219,0.0004138268,0.00092163327,0.0005163532],"domain_scores_gemma":[0.9983389,0.00003916096,0.0003916879,0.00028457036,0.00042902253,0.0005166684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042438675,0.00023464976,0.0005298477,0.00094988913,0.0003130701,0.00014481418,0.00068781094,0.00020922636,0.00017938015],"category_scores_gemma":[0.000037848153,0.00021795907,0.00046735842,0.0013179014,0.00021182046,0.002992383,0.0000070454744,0.00053827465,6.600423e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030930183,0.0007173796,0.9882393,0.00004249966,0.000034690413,0.00001805269,0.0039566876,0.0005875878,0.00045223182,0.00005165854,0.0000059429126,0.005584698],"study_design_scores_gemma":[0.00079857593,0.00014205463,0.99547523,0.000047546786,0.00007088545,0.0000044853414,0.0010456548,0.00064270454,0.000087935034,0.0004635472,0.00096660055,0.0002547806],"about_ca_topic_score_codex":0.0021151649,"about_ca_topic_score_gemma":0.00758864,"teacher_disagreement_score":0.028214933,"about_ca_system_score_codex":0.00011534696,"about_ca_system_score_gemma":0.00028846232,"threshold_uncertainty_score":0.8888113},"labels":[],"label_agreement":null},{"id":"W1966823031","doi":"10.1111/j.1467-9272.2006.00570.x","title":"Food Deserts in the Prairies? Supermarket Accessibility and Neighborhood Need in Edmonton, Canada*","year":2006,"lang":"en","type":"article","venue":"The Professional Geographer","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":248,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Quartile; Geography; Statistics; Mathematics","score_opus":0.011101210008879522,"score_gpt":0.2690234525366434,"score_spread":0.25792224252776386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1966823031","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9759062,0.0008556365,0.0000024089832,0.010057042,0.00021441313,0.0006461298,0.00001702001,0.000019015413,0.012282159],"genre_scores_gemma":[0.998591,0.000011755923,0.000012808225,0.0007164555,0.00011616919,0.00007904259,0.000011925741,0.000007284404,0.00045352738],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99752647,0.0007587572,0.0003529482,0.0002986902,0.0006018485,0.00046131207],"domain_scores_gemma":[0.9990644,0.00044796677,0.000081978214,0.0002873547,0.0000612282,0.000057105295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022089228,0.00015197661,0.00017640067,0.00005403706,0.00057289394,0.000072841794,0.0006167972,0.000106235166,0.0001609408],"category_scores_gemma":[0.000080970756,0.00008230856,0.000052359097,0.00082351547,0.0005009688,0.00031239225,0.00005982619,0.0003671185,5.2713256e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006708358,0.00015264413,0.99286014,0.000011434431,0.0000048321504,0.000004692823,0.0027553216,0.0000015290118,0.00000707842,0.0027018264,0.0009662857,0.00046710842],"study_design_scores_gemma":[0.0003405633,0.000012985969,0.96413636,0.000029435261,0.000008303595,2.2227186e-7,0.00656175,0.0000127894755,0.000005681526,0.027138649,0.0016337516,0.00011950265],"about_ca_topic_score_codex":0.7364586,"about_ca_topic_score_gemma":0.9923566,"teacher_disagreement_score":0.255898,"about_ca_system_score_codex":0.000057653746,"about_ca_system_score_gemma":0.0006409253,"threshold_uncertainty_score":0.4406295},"labels":[],"label_agreement":null},{"id":"W1967020646","doi":"10.1016/j.healthplace.2013.01.010","title":"Neighbourhood walkability and physical activity among family members of people with heart disease who participated in a randomized controlled trial of a behavioural risk reduction intervention","year":2013,"lang":"en","type":"article","venue":"Health & Place","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":35,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Population and Public Health; University of Ottawa","funders":"","keywords":"Walkability; Neighbourhood (mathematics); Context (archaeology); Randomized controlled trial; Intervention (counseling); Odds; Medicine; Physical activity; Gerontology; Psychology; Odds ratio; Physical therapy; Nursing; Geography; Logistic regression","score_opus":0.021669621499812525,"score_gpt":0.31936894437674845,"score_spread":0.2976993228769359,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1967020646","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9935404,0.000058379035,0.000028796281,0.00072365714,0.000087914406,0.0054821484,0.00001345124,0.000022989605,0.000042230506],"genre_scores_gemma":[0.99936897,0.000020486625,0.000025038757,0.000006579271,0.0000343631,0.0004994291,0.000004036185,0.0000058636297,0.000035212408],"study_design_codex":"randomized_trial","study_design_gemma":"observational","domain_scores_codex":[0.996904,0.0016586834,0.0005663686,0.00026999478,0.0003325101,0.00026843205],"domain_scores_gemma":[0.99844474,0.00045425774,0.00061486504,0.00013941193,0.00012257251,0.00022416934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029936505,0.00012066875,0.0012153683,0.000060049275,0.00012891303,0.000023106493,0.000063455656,0.00005547129,0.00004475845],"category_scores_gemma":[0.00043314075,0.00008935245,0.00021442385,0.00025875773,0.00049368606,0.00043964095,0.0000106741145,0.00017728635,3.085825e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.5021743,0.001334007,0.48805287,0.00009890047,0.000020578778,1.2607646e-7,0.007778062,0.0000150507485,0.000023606246,0.000018546509,0.000011562174,0.0004723613],"study_design_scores_gemma":[0.3258093,0.0002002323,0.6710981,0.00006818815,0.000082216975,1.992133e-8,0.0011886569,0.0012913796,0.000014746312,0.00018914757,2.4749227e-7,0.00005774968],"about_ca_topic_score_codex":0.21734075,"about_ca_topic_score_gemma":0.021023575,"teacher_disagreement_score":0.19631718,"about_ca_system_score_codex":0.00009842862,"about_ca_system_score_gemma":0.00027365566,"threshold_uncertainty_score":0.9968402},"labels":[],"label_agreement":null},{"id":"W1967238195","doi":"10.3141/2054-10","title":"Examining the Nature and Extent of the Activity-Travel Preplanning Decision Process","year":2008,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Interview; TRIPS architecture; Schedule; Computer science; Operations research; Process (computing); Psychology; Decision process; Scheduling (production processes); Event (particle physics); Point (geometry); Operations management; Management science; Engineering; Mathematics","score_opus":0.12683524692957973,"score_gpt":0.42936795141592365,"score_spread":0.30253270448634395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1967238195","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940564,0.00048018777,0.00037770285,0.0031443527,0.0004321812,0.001085653,0.000029564471,0.000013086896,0.00038084917],"genre_scores_gemma":[0.998043,0.00091606146,0.00026158837,0.000039088332,0.00018013048,0.00003442266,0.0000021737865,0.000026273472,0.0004972469],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9912748,0.0015792368,0.0010042279,0.0003978019,0.0050277505,0.0007162125],"domain_scores_gemma":[0.993734,0.002088064,0.0006028333,0.00052019843,0.0027938092,0.00026111264],"candidate_categories":["sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00763605,0.00019995992,0.00038725694,0.00035517113,0.002724988,0.000100682315,0.0016972877,0.00028134914,0.000121561665],"category_scores_gemma":[0.00059284794,0.000108471984,0.00029349636,0.0022771272,0.0026800674,0.00081093254,0.0000113765645,0.0032750384,0.0000014608005],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009184742,0.00017065293,0.9649817,0.00012952629,0.000064458385,0.000030044632,0.02586646,0.00019227539,0.0015253205,0.0007011199,0.0005997267,0.004820241],"study_design_scores_gemma":[0.0006675104,0.00016771043,0.98317355,0.00040489246,0.000040292158,5.271778e-7,0.00901792,0.000029337532,0.0021827929,0.002720962,0.0014795506,0.00011495904],"about_ca_topic_score_codex":0.009256564,"about_ca_topic_score_gemma":0.050099067,"teacher_disagreement_score":0.040842503,"about_ca_system_score_codex":0.00012935954,"about_ca_system_score_gemma":0.0012527532,"threshold_uncertainty_score":0.99902445},"labels":[],"label_agreement":null},{"id":"W1967863801","doi":"10.3917/ag.682.0604","title":"The Possibilities and Problems of Transferring North American Approaches to Europe in Examining Urban Environments and Obesity","year":2011,"lang":"fr","type":"article","venue":"Annales de Géographie","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Urban environment; Geography; Art","score_opus":0.11385165051938952,"score_gpt":0.23610983987371875,"score_spread":0.12225818935432924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1967863801","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9912536,0.007107793,0.0000374715,0.00036925013,0.00004952687,0.0003299423,0.000016118114,0.0000116384435,0.00082461565],"genre_scores_gemma":[0.9946488,0.004632823,0.00024377317,0.000045092173,0.00003466528,0.000017308159,0.0000015242912,0.00001314568,0.00036282727],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99835813,0.0002548001,0.00035353194,0.00038509688,0.00018959235,0.00045883073],"domain_scores_gemma":[0.9993604,0.00011454583,0.00012767705,0.0001971259,0.000013443625,0.00018681593],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00076485914,0.00018127622,0.00027579753,0.00011264081,0.00030118466,0.000042974763,0.00024811664,0.00005108957,0.000005050129],"category_scores_gemma":[0.000023303766,0.0001537935,0.000052514468,0.00096743886,0.0055367565,0.00025587584,0.000045550947,0.0001793418,9.4191404e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032962213,0.00016328543,0.9242388,0.00009518282,0.000031286967,0.0000036392507,0.053116612,0.0000025482889,0.000022097427,0.0009989968,0.0000054183756,0.021289177],"study_design_scores_gemma":[0.00012103393,0.00016104178,0.9913716,0.00008895969,0.00003402675,4.1911787e-7,0.006175085,0.0000074353215,0.00005765368,0.00078161195,0.001031442,0.00016970851],"about_ca_topic_score_codex":0.0067290952,"about_ca_topic_score_gemma":0.08509454,"teacher_disagreement_score":0.078365445,"about_ca_system_score_codex":0.000015819513,"about_ca_system_score_gemma":0.000025925618,"threshold_uncertainty_score":0.9998852},"labels":[],"label_agreement":null},{"id":"W1967946958","doi":"10.1249/mss.0000000000000274","title":"Sociodemographic Moderators of Relations of Neighborhood Safety to Physical Activity","year":2014,"lang":"en","type":"article","venue":"Medicine & Science in Sports & Exercise","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver Community College; University of British Columbia","funders":"National Heart, Lung, and Blood Institute","keywords":"Ethnic group; Moderation; Demography; Physical activity; Psychology; Injury prevention; Poison control; Gerontology; Suicide prevention; Occupational safety and health; Medicine; Environmental health; Social psychology; Physical therapy; Sociology","score_opus":0.01483610070140418,"score_gpt":0.30511125678587303,"score_spread":0.29027515608446885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1967946958","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9877125,0.000010065619,0.0007838559,0.0012048424,0.00023028102,0.00035371227,0.0000031938287,0.000027835447,0.009673696],"genre_scores_gemma":[0.99959797,0.000018089167,0.00013737852,0.000035676247,0.00009257245,0.0000096752265,0.0000011510093,0.0000058106148,0.00010170786],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99749565,0.000060840885,0.0003936038,0.00041342684,0.0012597411,0.00037670918],"domain_scores_gemma":[0.9988049,0.00013238442,0.00021486108,0.0003718026,0.000227203,0.00024884345],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0030372115,0.00012707459,0.00048117782,0.00036266854,0.0003257361,0.000008641518,0.00051827205,0.00006323691,0.00014719399],"category_scores_gemma":[0.00038958315,0.000103810715,0.00008001991,0.002933704,0.0028733425,0.00070798205,0.00003808525,0.00017414702,0.0000017914184],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027357637,0.00021167945,0.9579664,0.00001270912,2.1016432e-7,8.8803915e-7,0.014668877,0.00009242897,0.00031754517,0.0010449431,0.000021649446,0.025635343],"study_design_scores_gemma":[0.0002101333,0.000049799466,0.99264795,0.000150176,0.000022190701,3.307047e-8,0.0011734325,0.0005857669,0.00010670679,0.004805345,0.00014359737,0.00010489639],"about_ca_topic_score_codex":0.0018496688,"about_ca_topic_score_gemma":0.0005943802,"teacher_disagreement_score":0.034681555,"about_ca_system_score_codex":0.00007044238,"about_ca_system_score_gemma":0.0003918203,"threshold_uncertainty_score":0.99984026},"labels":[],"label_agreement":null},{"id":"W1968140239","doi":"10.1016/j.socscimed.2012.10.016","title":"The influence of urban design on neighbourhood walking following residential relocation: Longitudinal results from the RESIDE study","year":2012,"lang":"en","type":"article","venue":"Social Science & Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":318,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Recreation; Relocation; Neighbourhood (mathematics); Metropolitan area; Geography; Destinations; Built environment; Public transport; Intrapersonal communication; Gerontology; Environmental health; Demography; Socioeconomics; Psychology; Interpersonal communication; Medicine; Transport engineering; Sociology; Tourism; Social psychology; Political science; Engineering","score_opus":0.046657091037552265,"score_gpt":0.34880964631713196,"score_spread":0.3021525552795797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1968140239","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98824185,0.00030518713,0.00007310057,0.0052972795,0.0009505615,0.0006089696,0.0000040375594,0.000041096984,0.004477933],"genre_scores_gemma":[0.9974471,0.000012818308,0.00001544682,0.00014565547,0.0022477591,0.000015815489,0.0000020253003,0.0000070543406,0.00010634728],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9954318,0.0006439954,0.0005926159,0.0004032939,0.0022587564,0.00066957314],"domain_scores_gemma":[0.99695873,0.0018268271,0.0003675334,0.00043204546,0.000244432,0.00017041407],"candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.014535708,0.00014887351,0.00024103683,0.000054777713,0.005360982,0.000112509384,0.0014063503,0.0000691756,0.000029926996],"category_scores_gemma":[0.0049462784,0.0000830068,0.00008119496,0.0016012167,0.0032677725,0.0007899375,0.000059600483,0.0002922646,0.0000049492905],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017225741,0.00011047995,0.74278307,0.0000012298806,0.000021729598,0.0000031434067,0.2500058,0.0000074580034,0.0004517548,0.002687665,0.0011809991,0.0025743821],"study_design_scores_gemma":[0.0005531511,0.00009975647,0.9698193,0.00006127145,0.000072246345,4.8919855e-8,0.027261574,0.0000020387422,0.00014148129,0.0015045819,0.00038450587,0.00010002098],"about_ca_topic_score_codex":0.024992451,"about_ca_topic_score_gemma":0.0048790975,"teacher_disagreement_score":0.22703624,"about_ca_system_score_codex":0.00018640341,"about_ca_system_score_gemma":0.00052804296,"threshold_uncertainty_score":0.9994448},"labels":[],"label_agreement":null},{"id":"W1968287066","doi":"10.3141/2468-02","title":"Evaluation of Interactions between Buses and Bicycles at Stops","year":2014,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Transport engineering; Service (business); Computer science; Automotive engineering; Engineering","score_opus":0.2272016312805215,"score_gpt":0.48294289060849394,"score_spread":0.2557412593279724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1968287066","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945424,0.00024213239,0.00040239727,0.0026818886,0.00032703046,0.0008011642,0.00005151178,0.00001793061,0.0009335522],"genre_scores_gemma":[0.9984012,0.0003968272,0.00043671185,0.000013046835,0.00029348672,0.000032821983,0.0000136285635,0.00002442602,0.00038783337],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.987486,0.0038983645,0.0012505554,0.0003440091,0.0064160516,0.00060500903],"domain_scores_gemma":[0.98959357,0.0020376928,0.00056826207,0.0003572711,0.0070842984,0.0003589337],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.021420646,0.0001665667,0.00041959467,0.0007639561,0.0012155746,0.000093634524,0.00077819754,0.00015732377,0.00059156],"category_scores_gemma":[0.0008805707,0.00013020227,0.00026953864,0.0015445083,0.0016317143,0.00085581327,0.000007571093,0.0011406359,0.0000073456904],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023963298,0.00012613925,0.9650222,0.000097655895,0.0001047184,0.0000023625005,0.008110787,0.0001273882,0.0014535453,0.001685375,0.0006653704,0.022364805],"study_design_scores_gemma":[0.00096392434,0.00018850333,0.97245836,0.0002115931,0.00018857872,4.36078e-8,0.0031870394,0.000063668376,0.0014598779,0.0095411055,0.011616931,0.00012034451],"about_ca_topic_score_codex":0.026528182,"about_ca_topic_score_gemma":0.30470067,"teacher_disagreement_score":0.2781725,"about_ca_system_score_codex":0.00036243183,"about_ca_system_score_gemma":0.0008669347,"threshold_uncertainty_score":0.97995424},"labels":[],"label_agreement":null},{"id":"W1968649097","doi":"10.1071/nb07087","title":"Health impacts of urban development: key considerations","year":2007,"lang":"en","type":"review","venue":"New South Wales Public Health Bulletin","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carbon Engineering (Canada)","funders":"","keywords":"Environmental planning; Business; Key (lock); Urban planning; Health impact assessment; Environmental health; Environmental resource management; Public health; Geography; Medicine; Engineering; Computer science; Economics; Nursing","score_opus":0.16930676431264288,"score_gpt":0.40989659885244606,"score_spread":0.24058983453980318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1968649097","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000024327835,0.9720803,0.0003334881,0.02115054,0.00047678148,0.001892783,0.00019601166,0.00020877986,0.0036369793],"genre_scores_gemma":[0.0012672131,0.98762083,0.004511277,0.0027802452,0.00092639663,0.00004072544,0.0005295528,0.00007832607,0.0022454157],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.992058,0.0012703998,0.002957246,0.00081660744,0.0010624934,0.0018352454],"domain_scores_gemma":[0.9938975,0.000643643,0.0022229077,0.00060723117,0.0002741431,0.0023545835],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0078748735,0.0005566375,0.0026827713,0.00056367804,0.0014257815,0.00021834372,0.00064882677,0.0005826833,0.0022764306],"category_scores_gemma":[0.0010408142,0.00050750485,0.00045931083,0.0010146856,0.00044828208,0.00013004059,0.00006885855,0.0008335761,0.0003080838],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002636618,0.0001638969,0.0014485515,0.012401589,0.00008200826,0.000004060967,0.05176783,3.785146e-8,1.3604511e-9,0.0042737466,0.08903982,0.84081584],"study_design_scores_gemma":[0.00022428243,0.00004237548,0.00046079242,0.0032435323,0.000023279696,0.0000014834187,0.0007730486,2.873636e-8,3.402744e-8,0.00005964197,0.9948101,0.00036142507],"about_ca_topic_score_codex":0.014840285,"about_ca_topic_score_gemma":0.01614452,"teacher_disagreement_score":0.90577024,"about_ca_system_score_codex":0.0011496801,"about_ca_system_score_gemma":0.059885472,"threshold_uncertainty_score":0.99987423},"labels":[],"label_agreement":null},{"id":"W1968907416","doi":"10.1016/j.jadohealth.2007.10.006","title":"Social–Ecological Correlates of Active Commuting to School Among High School Students","year":2008,"lang":"en","type":"article","venue":"Journal of Adolescent Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":122,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; Cancer Care Ontario; Wilfrid Laurier University","funders":"National Center for Chronic Disease Prevention and Health Promotion","keywords":"Active living; Physical activity; Psychology; Body mass index; Intervention (counseling); Gerontology; Environmental health; Medicine; Physical therapy","score_opus":0.04565558680487202,"score_gpt":0.3759040277369681,"score_spread":0.3302484409320961,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1968907416","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956328,0.00012938086,0.00007853734,0.0030936627,0.00043838596,0.00035467534,0.000005269417,0.000017694489,0.00024956846],"genre_scores_gemma":[0.9980523,0.00020336837,0.00022691468,0.00073812046,0.0006629983,0.0000011349049,0.000001096931,0.0000086247255,0.00010545913],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99709857,0.00042454185,0.0009174254,0.00015346915,0.0009794101,0.00042657906],"domain_scores_gemma":[0.99770594,0.00009177538,0.0010405215,0.000104284016,0.00038173902,0.00067571783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017694293,0.0001241569,0.0005277269,0.000127304,0.0008537637,0.000031485397,0.00059023005,0.00012399617,0.00020038655],"category_scores_gemma":[0.00037029415,0.00010420638,0.00017942658,0.00036787038,0.00028338697,0.00034131753,0.00005499678,0.0007732586,0.000012602732],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014910667,0.00074606604,0.9890039,0.000033783133,0.00002881334,0.000013339508,0.005536271,0.000011451694,0.000012747077,0.000051218212,0.0036074447,0.000805868],"study_design_scores_gemma":[0.00064371043,0.00024046098,0.9946324,0.00020490061,0.000015414733,0.0000015242481,0.003623014,9.478651e-7,0.00003239511,0.00015834859,0.00035500195,0.00009187663],"about_ca_topic_score_codex":0.0015924383,"about_ca_topic_score_gemma":0.0009293223,"teacher_disagreement_score":0.005628514,"about_ca_system_score_codex":0.0006615913,"about_ca_system_score_gemma":0.0012561183,"threshold_uncertainty_score":0.65665466},"labels":[],"label_agreement":null},{"id":"W1969646077","doi":"10.2105/ajph.2012.300917","title":"Impact Evaluation of a Public Bicycle Share Program on Cycling: A Case Example of BIXI in Montreal, Quebec","year":2013,"lang":"en","type":"article","venue":"American Journal of Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":99,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Montréal","funders":"Canadian Institutes of Health Research","keywords":"Cycling; Confidence interval; Poison control; Odds ratio; Injury prevention; Suicide prevention; Odds; Human factors and ergonomics; Environmental health; Occupational safety and health; Population; Gerontology; Demography; Medicine; Transport engineering; Geography; Engineering; Logistic regression; Sociology; Forestry","score_opus":0.16303473985937791,"score_gpt":0.44110179881967543,"score_spread":0.2780670589602975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969646077","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9929396,0.00019001441,0.00005181679,0.005567988,0.000060781647,0.00066721614,0.000023734538,0.000014224547,0.0004846154],"genre_scores_gemma":[0.9994116,0.00003757051,0.00029410617,0.00010303718,0.00009667619,0.000023023971,0.000009272553,0.000010410283,0.000014307326],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99542385,0.0015990488,0.0011173772,0.00019924312,0.0010876479,0.00057282846],"domain_scores_gemma":[0.9958371,0.00024389138,0.0018124265,0.00024240105,0.0012282074,0.00063598977],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010151322,0.00012899839,0.0005786566,0.0005227308,0.00012869424,0.00010103628,0.00033291182,0.000051268627,0.0005811206],"category_scores_gemma":[0.0010522099,0.000100628764,0.0001804049,0.0016176123,0.0004789638,0.00096938957,0.000013618349,0.0002661768,0.0000024144522],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009414279,0.0008625435,0.41127923,0.000016058451,0.000024805893,0.0000064223077,0.0064113326,0.000014198489,0.000006525617,0.00003446325,0.00015354562,0.58118147],"study_design_scores_gemma":[0.0006416951,0.0012953369,0.98494065,0.0000584498,0.000012363712,0.000009034464,0.012083134,0.00028051893,0.0000033396007,0.0002631007,0.0003229157,0.00008948889],"about_ca_topic_score_codex":0.76119936,"about_ca_topic_score_gemma":0.37474754,"teacher_disagreement_score":0.581092,"about_ca_system_score_codex":0.000696278,"about_ca_system_score_gemma":0.0054918462,"threshold_uncertainty_score":0.97422993},"labels":[],"label_agreement":null},{"id":"W1970174316","doi":"10.1007/s10903-011-9525-y","title":"Impact of Participant Incentives and Direct and Snowball Sampling on Survey Response Rate in an Ethnically Diverse Community: Results from a Pilot Study of Physical Activity and the Built Environment","year":2011,"lang":"en","type":"article","venue":"Journal of Immigrant and Minority Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":72,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cancer Care Ontario; University of Toronto; York University","funders":"","keywords":"Snowball sampling; Incentive; Neighbourhood (mathematics); Environmental health; Psychology; Demographic economics; Socioeconomics; Medicine; Sociology; Economics","score_opus":0.27600986218521645,"score_gpt":0.41576645535086865,"score_spread":0.1397565931656522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970174316","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991788,0.00029533746,0.0000027870728,0.00010185179,0.000016657797,0.00029657118,0.00010045703,0.0000017377157,0.000005765941],"genre_scores_gemma":[0.99923176,0.0007143222,0.000020695825,0.00000982556,0.000017237646,9.602079e-7,0.00000104514,0.0000026372916,0.0000014934284],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9922266,0.006811662,0.0004294174,0.00014587837,0.00021301613,0.00017339709],"domain_scores_gemma":[0.9960445,0.003056607,0.0005208261,0.00015025135,0.00004749772,0.00018032327],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014344583,0.0001075822,0.00054405216,0.000058399703,0.00026558765,0.000019458746,0.00011984374,0.000030582043,0.0000014014659],"category_scores_gemma":[0.0005374872,0.00006637431,0.000038350976,0.000083128936,0.00065571244,0.00021435169,0.00005088525,0.00034782296,1.8816278e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.046145324,0.0030084406,0.78386486,0.000015349597,0.000049573093,0.0000024506255,0.16301934,0.0000013402056,0.0007651495,0.000002959096,5.9939475e-7,0.0031245896],"study_design_scores_gemma":[0.0036241298,0.0061269235,0.9778111,0.000058873804,0.000048262224,1.7467109e-7,0.012104234,0.000020850213,0.00003710453,0.00010808905,6.3868634e-7,0.0000595924],"about_ca_topic_score_codex":0.4703414,"about_ca_topic_score_gemma":0.28321892,"teacher_disagreement_score":0.19394624,"about_ca_system_score_codex":0.000036114958,"about_ca_system_score_gemma":0.00012862262,"threshold_uncertainty_score":0.7298605},"labels":[],"label_agreement":null},{"id":"W1970386109","doi":"10.3141/1776-03","title":"Freeway Quality of Service: What Really Matters to Drivers and Passengers?","year":2001,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; Hamilton Health Sciences","funders":"Natural Sciences and Engineering Research Council of Canada; McMaster University","keywords":"TRIPS architecture; Transport engineering; Service (business); Service quality; Quality (philosophy); Level of service; Business; Pleasure; Travel behavior; Marketing; Engineering; Psychology","score_opus":0.12973804147386972,"score_gpt":0.4450813359502276,"score_spread":0.3153432944763579,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970386109","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94877183,0.00020349951,0.00047758681,0.04881365,0.00041705777,0.0009773432,0.000042294883,0.000022833712,0.000273884],"genre_scores_gemma":[0.99478155,0.0029482709,0.0010696455,0.00042611323,0.00016779698,0.000028137849,0.000010541145,0.000031427444,0.00053649663],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9905046,0.0019602473,0.0015816474,0.0004560002,0.0045806183,0.00091688364],"domain_scores_gemma":[0.9923268,0.0012811449,0.00053229206,0.00047932062,0.004664494,0.00071592856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009726963,0.00021724678,0.0005514786,0.0008132922,0.0009094586,0.00025651776,0.0012884449,0.00021953744,0.00055197184],"category_scores_gemma":[0.00022741941,0.00017587595,0.00030929485,0.0032084251,0.0011289306,0.0018344867,0.000008880391,0.0013574924,0.000011877636],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016397798,0.0002558943,0.95012087,0.00029431144,0.00011730493,0.000056935092,0.029207686,0.00017385013,0.0049137054,0.0022047057,0.0025874875,0.008427492],"study_design_scores_gemma":[0.0009289496,0.00023285596,0.9493323,0.00038103032,0.00003587935,7.9595054e-8,0.026410036,0.0000056678455,0.000375416,0.0030550954,0.01906801,0.00017468145],"about_ca_topic_score_codex":0.10243789,"about_ca_topic_score_gemma":0.52421784,"teacher_disagreement_score":0.42177996,"about_ca_system_score_codex":0.00022622616,"about_ca_system_score_gemma":0.0008346967,"threshold_uncertainty_score":0.90353906},"labels":[],"label_agreement":null},{"id":"W1970398774","doi":"10.1007/s11067-011-9153-z","title":"Place Rank: Valuing Spatial Interactions","year":2011,"lang":"en","type":"article","venue":"Networks and Spatial Economics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":64,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Rank (graph theory); Attractiveness; Destinations; Metropolitan area; Measure (data warehouse); Computer science; Geography; Marketing; Business; Regional science; Transport engineering; Economic geography; Advertising; Sociology; Mathematics; Tourism; Engineering; Psychology; Combinatorics; Data mining","score_opus":0.02853598717238362,"score_gpt":0.254693630144065,"score_spread":0.22615764297168137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970398774","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9009807,0.00015905815,0.032886893,0.00019217267,0.0015847075,0.00019567256,0.0000066572375,0.00006685303,0.0639273],"genre_scores_gemma":[0.998094,0.00025861358,0.0001759494,0.00011765964,0.000959011,0.0000066187067,0.000007759078,0.000009272769,0.0003710849],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992431,0.00004333213,0.00021655035,0.00021915034,0.00003836792,0.00023949488],"domain_scores_gemma":[0.99958956,0.000059263668,0.000087618515,0.000113880335,0.000025109104,0.00012456476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002963496,0.00009313213,0.00015154977,0.00002718674,0.0004028276,0.00007569452,0.00012775206,0.00009057386,0.0007704275],"category_scores_gemma":[0.000012874886,0.00009766993,0.00005903109,0.00004014795,0.00016342275,0.00027363317,0.000024095523,0.00015212708,0.000008409232],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002457004,0.00014160566,0.646776,0.000009570329,0.00006374721,0.0000048338848,0.015508017,0.0016637448,0.0000019032071,0.0064478074,0.00043698782,0.32870004],"study_design_scores_gemma":[0.0016470387,0.00014429654,0.59445024,0.000053661588,0.00014385347,0.0000016527133,0.0023839392,0.2655661,0.000041479332,0.0067483303,0.12782116,0.0009982653],"about_ca_topic_score_codex":0.053271662,"about_ca_topic_score_gemma":0.22189224,"teacher_disagreement_score":0.32770178,"about_ca_system_score_codex":0.00004530913,"about_ca_system_score_gemma":0.00006197322,"threshold_uncertainty_score":0.9530327},"labels":[],"label_agreement":null},{"id":"W1970823130","doi":"10.1080/08865655.2007.9695679","title":"Determinants of cross‐border commuting: Do cross‐border commuters within the household matter?","year":2007,"lang":"en","type":"article","venue":"Journal of Borderlands Studies","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Demographic economics; Border crossing; Cross country; Economics; Face (sociological concept); Economic geography; Immigration; Political science; Sociology; Law","score_opus":0.04677296321144766,"score_gpt":0.42253325418728177,"score_spread":0.37576029097583413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970823130","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98975694,0.004082368,0.00007436161,0.00063450105,0.00091583206,0.00017503751,0.000014756271,0.000019306417,0.004326882],"genre_scores_gemma":[0.99777776,0.0003594721,0.00030586348,0.00033411194,0.00031457204,0.000002054181,6.0674466e-7,0.000021074877,0.0008844606],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969496,0.00016966778,0.0013897665,0.00018341013,0.0008127044,0.00049483875],"domain_scores_gemma":[0.996493,0.0007085729,0.0013862657,0.0003611936,0.0009302299,0.00012073345],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005003724,0.00023540169,0.00068769616,0.0001217408,0.001270636,0.00020473184,0.0006581098,0.00013008816,0.000107526415],"category_scores_gemma":[0.00036624967,0.00014680979,0.0002838965,0.0004483979,0.0020135995,0.0005332482,0.00011530274,0.00050415745,0.0000025708155],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018831242,0.00013974949,0.9716103,0.00005960545,0.0001636688,0.000022706514,0.02574184,0.000053351978,0.00002350924,0.00004719083,0.0007619041,0.0011878236],"study_design_scores_gemma":[0.0012278025,0.00014482834,0.9682129,0.00019460745,0.000107688786,0.000014842816,0.018680723,0.0000050525096,0.00042008713,0.0005695045,0.010190667,0.00023126497],"about_ca_topic_score_codex":0.00064174604,"about_ca_topic_score_gemma":0.0052494532,"teacher_disagreement_score":0.009428763,"about_ca_system_score_codex":0.00008234194,"about_ca_system_score_gemma":0.00018254021,"threshold_uncertainty_score":0.9772833},"labels":[],"label_agreement":null},{"id":"W1971008920","doi":"10.1186/1471-2458-11-959","title":"Assessing the influence of the built environment on physical activity for utility and recreation in suburban metro Vancouver","year":2011,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Victoria; Simon Fraser University; Statistics Canada","funders":"Canadian Institutes of Health Research","keywords":"Built environment; Recreation; Walkability; Respondent; Environmental health; Land use; Level design; Medicine; Odds; Poison control; Biostatistics; Gerontology; Transport engineering; Logistic regression; Public health; Engineering; Civil engineering","score_opus":0.1383649951825591,"score_gpt":0.3800302178580133,"score_spread":0.24166522267545418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1971008920","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971924,0.000014863952,0.0005779895,0.0010026736,0.000056860477,0.00055997487,0.0000063627153,0.000009443416,0.0005794693],"genre_scores_gemma":[0.9996245,0.000006351911,0.00018183935,0.00009617635,0.00003429948,0.000028526589,6.2930496e-7,0.0000031815716,0.000024531213],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987192,0.0004490409,0.00015408125,0.00019639933,0.00024644958,0.00023479272],"domain_scores_gemma":[0.9992188,0.00028310323,0.00016037631,0.00023762172,0.000024442581,0.00007563106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00251897,0.00006367634,0.0001356697,0.000023057188,0.00033725455,0.000032215245,0.00019730919,0.000040081006,0.00001160914],"category_scores_gemma":[0.00026928892,0.000037503898,0.0000445907,0.00018530893,0.0003140654,0.0004773636,0.00002143448,0.000118670396,2.226109e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012829681,0.0002510261,0.9815892,0.000028474647,0.0000018395476,1.6655779e-8,0.0050426708,0.0000020490143,0.000012373261,0.0006996353,0.00002481933,0.012335074],"study_design_scores_gemma":[0.00012340772,0.0000272634,0.9961402,0.000010147194,0.0000026035082,3.8181858e-9,0.0010292188,0.00012505222,0.00008757512,0.0015286122,0.0008893084,0.000036621466],"about_ca_topic_score_codex":0.0128250355,"about_ca_topic_score_gemma":0.03793949,"teacher_disagreement_score":0.025114452,"about_ca_system_score_codex":0.00016276259,"about_ca_system_score_gemma":0.00051191566,"threshold_uncertainty_score":0.99374866},"labels":[],"label_agreement":null},{"id":"W1971199277","doi":"10.3141/2247-13","title":"Much-Anticipated Marriage of Cycling and Transit","year":2011,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":123,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Cycling; Public transport; Transport engineering; Transit (satellite); TRIPS architecture; Sustainable transport; Rail transit; Economic shortage; Metropolitan area; Travel behavior; Business; Sustainability; Engineering; Geography; Government (linguistics)","score_opus":0.22036177649682412,"score_gpt":0.4350835690250229,"score_spread":0.21472179252819876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1971199277","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99534076,0.0002687723,0.0006174892,0.0010216689,0.00036541585,0.00082260644,0.000049822786,0.000025812407,0.0014876446],"genre_scores_gemma":[0.9968629,0.001045908,0.0014534766,0.000020483407,0.00012897987,0.000021255895,0.000006254823,0.000034219636,0.00042652624],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.992175,0.0016316666,0.0015956501,0.00038941985,0.0033186858,0.0008896151],"domain_scores_gemma":[0.994607,0.00078967586,0.00052245794,0.00038548588,0.0032103478,0.00048504965],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008201935,0.00020893414,0.00053411454,0.0007999029,0.0009294407,0.000074584095,0.0011158714,0.0002516486,0.00094453397],"category_scores_gemma":[0.00021887572,0.0001625213,0.00037702365,0.0021146906,0.0022726983,0.00089409185,0.0000049711985,0.0016401351,0.0000054390403],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012770089,0.0003390165,0.93629056,0.00025169752,0.00012915816,0.000067775705,0.048885144,0.000016858097,0.0032687243,0.0050663105,0.00031919955,0.004088525],"study_design_scores_gemma":[0.0010494195,0.0003205543,0.9735207,0.0002844853,0.00008509666,8.451929e-8,0.0106065385,0.000013860064,0.003992848,0.0082327565,0.0017317026,0.00016195625],"about_ca_topic_score_codex":0.0818757,"about_ca_topic_score_gemma":0.21175876,"teacher_disagreement_score":0.12988307,"about_ca_system_score_codex":0.00010303281,"about_ca_system_score_gemma":0.0007648905,"threshold_uncertainty_score":0.99996877},"labels":[],"label_agreement":null},{"id":"W1971209504","doi":"10.1186/1471-2458-11-618","title":"Mode shifting in school travel mode: examining the prevalence and correlates of active school transport in Ontario, Canada","year":2011,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":76,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Centre for Addiction and Mental Health; University of Toronto","funders":"Canadian Institutes of Health Research; York University; Heart and Stroke Foundation of Canada","keywords":"Morning; Biostatistics; Medicine; TRIPS architecture; Logistic regression; Demography; Public health; Environmental health; Gerontology; Transport engineering; Sociology; Nursing","score_opus":0.07817095705030912,"score_gpt":0.30385044886610857,"score_spread":0.22567949181579944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1971209504","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99316853,0.00015416303,0.000116333606,0.00032996194,0.00008577083,0.0005132589,0.000022016351,0.000013149069,0.005596794],"genre_scores_gemma":[0.99926484,0.00004235807,0.0002303088,0.00013625313,0.000019225525,0.000027355596,0.000004890669,0.000007849377,0.0002669311],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979107,0.00027431242,0.0005610668,0.0003307734,0.00036753985,0.0005556307],"domain_scores_gemma":[0.9990511,0.00015516613,0.0001970093,0.00019573768,0.00005509628,0.00034592077],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020928213,0.00012323305,0.00027744166,0.000090170164,0.00022095043,0.000021409121,0.00035286986,0.0000902197,0.00035385296],"category_scores_gemma":[0.00024223371,0.0001020795,0.000024282614,0.00040302158,0.00018604708,0.00060852524,0.000014405495,0.0005046268,3.8100617e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002086812,0.000055088414,0.9527172,0.000086209315,0.0000032091764,0.000001767541,0.045975212,0.00000779904,0.0000012502096,0.00040790983,0.0000073208935,0.0007161938],"study_design_scores_gemma":[0.0002903387,0.000022526732,0.99052644,0.00008494702,0.0000034963007,1.6578626e-7,0.008373153,0.00016202722,0.000003898987,0.00038855476,0.000044156193,0.000100269244],"about_ca_topic_score_codex":0.9980192,"about_ca_topic_score_gemma":0.9998692,"teacher_disagreement_score":0.037809294,"about_ca_system_score_codex":0.0009040186,"about_ca_system_score_gemma":0.01692827,"threshold_uncertainty_score":0.98864484},"labels":[],"label_agreement":null},{"id":"W1971251942","doi":"10.1186/1479-5868-6-32","title":"Cross-validation of the factorial structure of the Neighborhood Environment Walkability Scale (NEWS) and its abbreviated form (NEWS-A)","year":2009,"lang":"en","type":"article","venue":"International Journal of Behavioral Nutrition and Physical Activity","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":244,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Heart, Lung, and Blood Institute; Agricultural Research Service; U.S. Department of Agriculture","keywords":"Walkability; Census; Respondent; Scale (ratio); Confirmatory factor analysis; Sample (material); Population; Geography; Built environment; Structural equation modeling; American Community Survey; Psychology; Statistics; Environmental health; Medicine; Cartography; Mathematics; Engineering; Political science","score_opus":0.022615366762570404,"score_gpt":0.33885815417827303,"score_spread":0.3162427874157026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1971251942","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982803,0.000022954026,0.00002378422,0.0009999089,0.00032818198,0.00018191118,0.00013327,0.0000026040725,0.000027073296],"genre_scores_gemma":[0.99962276,0.000033130935,0.00001124087,0.000014209361,0.00030469245,6.2419616e-7,0.0000028399818,0.0000021141905,0.000008360321],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99887127,0.000113947746,0.00023610047,0.00010708906,0.00059284316,0.00007874422],"domain_scores_gemma":[0.9991898,0.000046161265,0.0004152497,0.00007698046,0.00021882037,0.000053003903],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012302336,0.00008050842,0.00017711804,0.000021639757,0.00011858181,0.00004151865,0.0002383728,0.000065671,0.000053634747],"category_scores_gemma":[0.00002363879,0.00004935218,0.00015873689,0.00007818853,0.00023456986,0.00051841297,0.000028142644,0.00019441456,7.7205286e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043349288,0.0028309238,0.79401255,0.000023397663,0.000026191807,5.5132284e-7,0.0023598808,0.00000723793,0.17497124,0.00044563648,0.0000141423925,0.02487474],"study_design_scores_gemma":[0.0006841036,0.00008760472,0.8811928,0.000041205738,0.00004016423,8.039523e-7,0.00008059951,0.000011984465,0.11033511,0.007390881,0.00008357916,0.00005114826],"about_ca_topic_score_codex":0.00023861938,"about_ca_topic_score_gemma":0.00009075726,"teacher_disagreement_score":0.08718025,"about_ca_system_score_codex":0.00006951404,"about_ca_system_score_gemma":0.000043067692,"threshold_uncertainty_score":0.20125236},"labels":[],"label_agreement":null},{"id":"W1971306456","doi":"10.7202/018491ar","title":"Modes de transport et territoires pratiqués en solo par les adolescents de la région urbaine de Québec","year":2008,"lang":"fr","type":"article","venue":"Enfances Familles Générations","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"","keywords":"Political science; Humanities; Art","score_opus":0.01733029339887696,"score_gpt":0.3066293469235056,"score_spread":0.2892990535246286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1971306456","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9533459,0.0057019386,0.014232068,0.007167647,0.0002491187,0.0003777156,0.0001476765,0.0001922717,0.018585667],"genre_scores_gemma":[0.9803718,0.004028357,0.0039016912,0.00044534987,0.00064204965,0.00009753259,0.000067157634,0.00003830973,0.010407773],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9966606,0.0010622513,0.00057279575,0.0005072376,0.00041836305,0.0007787452],"domain_scores_gemma":[0.99873716,0.0003675299,0.00019872081,0.00029555525,0.000094430696,0.0003066256],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0009883763,0.00034154233,0.00038190946,0.00009172752,0.001610498,0.00008179993,0.0005173625,0.00047854832,0.0001389678],"category_scores_gemma":[0.00013517722,0.0003668632,0.000268193,0.00040903364,0.0020203877,0.00082284096,0.000021115886,0.00057181314,0.0000144093365],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003618811,0.0005419892,0.89220923,0.00009938205,0.000051841493,0.0000556624,0.09517185,0.001753767,0.0007398961,0.0065751784,0.0014725876,0.0012924131],"study_design_scores_gemma":[0.00050682365,0.00007323808,0.95096636,0.0003230429,0.00013025031,0.000013623347,0.006037331,0.0016761371,0.00080498494,0.0045838016,0.034391247,0.0004931908],"about_ca_topic_score_codex":0.17621788,"about_ca_topic_score_gemma":0.36464068,"teacher_disagreement_score":0.18842278,"about_ca_system_score_codex":0.0005327598,"about_ca_system_score_gemma":0.0030603965,"threshold_uncertainty_score":0.99987835},"labels":[],"label_agreement":null},{"id":"W1971363809","doi":"10.1016/j.jsams.2014.06.012","title":"Personal, social and environmental correlates of active transport to school among adolescents in Otago, New Zealand","year":2014,"lang":"en","type":"article","venue":"Journal of science and medicine in sport","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":129,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Logistic regression; Public transport; Neighbourhood (mathematics); Psychology; Geography; Demography; Car ownership; Perception; Environmental health; Medicine; Transport engineering; Engineering; Sociology; Mathematics","score_opus":0.012898109097448256,"score_gpt":0.28892283367350713,"score_spread":0.27602472457605887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1971363809","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99848473,0.00007568805,0.0000058490086,0.0008194218,0.0001312592,0.00011460323,0.000001124955,0.0000015792366,0.00036575974],"genre_scores_gemma":[0.99940604,0.000097681776,0.000020125417,0.000105124636,0.00021923363,4.4211242e-7,4.430367e-7,0.0000026742252,0.000148245],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99845237,0.000015089704,0.00040525748,0.00016379819,0.00074863096,0.00021488128],"domain_scores_gemma":[0.9993593,0.000018729563,0.00020348061,0.000037608064,0.00004767544,0.00033321528],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002181222,0.00007860998,0.00029951474,0.00026865175,0.000121220255,0.000007905084,0.0001797674,0.00005336334,0.000054855438],"category_scores_gemma":[0.00009810013,0.000060162096,0.000024639452,0.00042008862,0.0018972645,0.0005257374,0.000010288887,0.00021229997,2.2148821e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008562849,0.000047026188,0.96855384,0.0000072634716,0.0000016347694,0.000010937947,0.027375212,7.557919e-7,0.0005418094,0.000008376423,0.00006835599,0.0032991734],"study_design_scores_gemma":[0.00084020454,0.00012527764,0.9841698,0.00024769417,0.000014287601,0.0000020826963,0.013994633,0.000007713751,0.00004848873,0.00014174439,0.0003475256,0.00006056445],"about_ca_topic_score_codex":0.0039765514,"about_ca_topic_score_gemma":0.0030928405,"teacher_disagreement_score":0.015615958,"about_ca_system_score_codex":0.00007345859,"about_ca_system_score_gemma":0.00032027392,"threshold_uncertainty_score":0.699055},"labels":[],"label_agreement":null},{"id":"W1971495450","doi":"10.1016/j.ypmed.2013.08.023","title":"Concept mapping applied to the intersection between older adults' outdoor walking and the built and social environments","year":2013,"lang":"en","type":"article","venue":"Preventive Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ministry of Health; Simon Fraser University; University of British Columbia","funders":"Canadian Institutes of Health Research; Michael Smith Health Research BC","keywords":"Built environment; Intersection (aeronautics); Level design; Stakeholder; Perception; Independence (probability theory); Medicine; Human factors and ergonomics; Poison control; Gerontology; Applied psychology; Environmental health; Psychology; Public relations; Human–computer interaction; Computer science; Geography; Cartography","score_opus":0.016410283076415684,"score_gpt":0.27287372096849,"score_spread":0.2564634378920743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1971495450","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9813315,0.0002517991,0.0039608786,0.011200173,0.00014330723,0.0012169774,0.0000023417329,0.000015693378,0.0018773268],"genre_scores_gemma":[0.99821293,0.000009187529,0.000023314768,0.0004855689,0.00067514513,0.000082797094,0.0000046601676,0.0000050447197,0.00050136115],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99904513,0.00015846807,0.0001827191,0.00020996487,0.00022899953,0.0001747189],"domain_scores_gemma":[0.9995985,0.00016577767,0.00008501262,0.000079362304,0.0000170149,0.000054318938],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008189167,0.00008967356,0.0001751743,0.000018892746,0.0005787588,0.00003221902,0.00014867539,0.000041468953,0.0002515683],"category_scores_gemma":[0.00004770084,0.00004719393,0.000025830088,0.00009284027,0.0010465079,0.000104251376,0.000056394165,0.00013224335,0.00000811696],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042305615,0.000023046941,0.1809014,0.00002405519,0.00008197693,2.9435972e-7,0.5851449,9.3398064e-8,0.0001399246,0.001041196,0.0009412862,0.23165953],"study_design_scores_gemma":[0.0012003387,0.00001616299,0.9355309,0.000058469832,0.000051660023,4.5819693e-8,0.05712816,0.000004762835,0.00003423535,0.0019038653,0.0040010223,0.00007035515],"about_ca_topic_score_codex":0.0022217394,"about_ca_topic_score_gemma":0.00043131056,"teacher_disagreement_score":0.75462955,"about_ca_system_score_codex":0.000033452765,"about_ca_system_score_gemma":0.000007765363,"threshold_uncertainty_score":0.4451403},"labels":[],"label_agreement":null},{"id":"W1972337391","doi":"10.3141/2443-12","title":"Estimation of Annual Average Daily Bicycle Traffic with Adjustment Factors","year":2014,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Traffic volume; Estimation; Statistics; Data collection; Volume (thermodynamics); Environmental science; Traffic count; Mathematics; Transport engineering; Engineering; Physics","score_opus":0.058020962875354756,"score_gpt":0.38109424515326695,"score_spread":0.3230732822779122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1972337391","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99393904,0.00010588313,0.0027073752,0.0014091046,0.00036090153,0.00094134494,0.00009140809,0.000034157474,0.00041081247],"genre_scores_gemma":[0.99780184,0.0001937439,0.0011547499,0.00001846378,0.00018891053,0.00002756865,0.000028877917,0.000038494567,0.0005473702],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99040586,0.0018204785,0.0013759815,0.00040979474,0.0051095597,0.00087833125],"domain_scores_gemma":[0.9939798,0.0012337503,0.00066255295,0.0004600817,0.0031979166,0.00046588565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0064391824,0.00024626212,0.00053282,0.0008025143,0.00095751893,0.00009458473,0.0011979593,0.00021151204,0.0004075546],"category_scores_gemma":[0.0002615057,0.00016961928,0.00035786626,0.0023589556,0.0016061325,0.001167204,0.000004096933,0.0014630527,0.0000075548064],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021104931,0.0008210824,0.8865469,0.00040048052,0.00020377213,0.000026361908,0.042580653,0.02724677,0.0005258725,0.0039791134,0.0014796093,0.03407889],"study_design_scores_gemma":[0.0013305106,0.0007842834,0.9823049,0.00028013202,0.000065448454,5.4263225e-8,0.008285093,0.0003358024,0.00092206954,0.0013283506,0.0041755186,0.00018787633],"about_ca_topic_score_codex":0.019447552,"about_ca_topic_score_gemma":0.12699597,"teacher_disagreement_score":0.10754841,"about_ca_system_score_codex":0.00024556127,"about_ca_system_score_gemma":0.0010339428,"threshold_uncertainty_score":0.987082},"labels":[],"label_agreement":null},{"id":"W1973026498","doi":"10.1503/cmaj.060989","title":"Fitness to drive","year":2006,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Positive Living North","funders":"","keywords":"Intraspecific competition; Abiotic component; Ecology; Macroecology; Spatial ecology; Biology; Latitude; Temporal scales; Variation (astronomy); Biodiversity; Geography","score_opus":0.007251023400672328,"score_gpt":0.25853849960071773,"score_spread":0.2512874762000454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1973026498","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7975957,0.00006519287,0.0003272595,0.09943425,0.0014459065,0.00011790439,0.000017519451,0.000033297732,0.10096297],"genre_scores_gemma":[0.98650837,0.00000640844,0.00008900165,0.005371312,0.0034516403,0.0000026322296,0.000004119674,0.0000052202813,0.00456129],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977228,0.00013132837,0.0002492992,0.00010775169,0.0012630853,0.0005257161],"domain_scores_gemma":[0.99777627,0.00008109073,0.000083397594,0.000050720562,0.00030353226,0.0017050132],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002106412,0.00005720427,0.000106661246,0.00009867603,0.0007119473,0.00014646034,0.00027336113,0.00023257952,0.0077906684],"category_scores_gemma":[0.00088625884,0.000055788052,0.00006372152,0.00032738651,0.000049372687,0.00016162905,0.0000040732166,0.0003714378,0.00023376547],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000013191686,0.000015417285,0.79979104,8.83394e-7,0.000008897091,0.00010025463,0.0009732835,0.000004199746,0.0000015151503,0.0025193112,0.18790376,0.008680099],"study_design_scores_gemma":[0.000121101904,0.0000048107877,0.35830662,0.0000090675385,0.0000042935694,0.0000012703882,0.000424545,0.0000035077715,0.0000030407828,0.001455501,0.6395982,0.00006804526],"about_ca_topic_score_codex":0.11609288,"about_ca_topic_score_gemma":0.8152778,"teacher_disagreement_score":0.69918495,"about_ca_system_score_codex":0.0011848097,"about_ca_system_score_gemma":0.0036737057,"threshold_uncertainty_score":0.9931163},"labels":[],"label_agreement":null},{"id":"W1973460043","doi":"10.1136/ip.2009.024240","title":"Transportation policy and injury control","year":2009,"lang":"en","type":"letter","venue":"Injury Prevention","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Transport Canada","funders":"","keywords":"Transport engineering; Pedestrian; TRIPS architecture; Transportation planning; Destinations; Paradigm shift; Cycling; Range (aeronautics); Poison control; Key (lock); Engineering; Computer science; Computer security","score_opus":0.014115441772721974,"score_gpt":0.32727765025196826,"score_spread":0.3131622084792463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1973460043","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13898708,0.0006497774,0.0012726901,0.83941007,0.0010744445,0.0023234978,0.0008187538,0.00050773006,0.014955938],"genre_scores_gemma":[0.760624,0.00026996314,0.00013303428,0.21043326,0.009634637,0.000062119885,0.00097516004,0.000040965646,0.017826878],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99800277,0.00027463704,0.0004275842,0.00043477744,0.0004764095,0.0003838234],"domain_scores_gemma":[0.9992941,0.00005016697,0.0002673975,0.00021843967,0.00009197389,0.00007791909],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053653965,0.00022641967,0.00032161936,0.00020699941,0.00031863243,0.00011689087,0.000220594,0.0008250247,0.00022705925],"category_scores_gemma":[0.000045325112,0.00023895278,0.0001911146,0.0002642791,0.00021058491,0.00047405428,0.0000025834624,0.0007079607,0.000017926332],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017396308,0.00014821516,0.015697408,0.00022932143,0.00010730209,0.00004130588,0.0022470187,3.65779e-7,0.00014026914,0.0019901702,0.79756445,0.1816602],"study_design_scores_gemma":[0.00029232015,0.00012019144,0.04865137,0.000096329335,0.00014981876,1.1078655e-7,0.00003121101,9.74682e-7,0.00002803533,0.029182559,0.92113036,0.00031669604],"about_ca_topic_score_codex":0.0019842742,"about_ca_topic_score_gemma":0.0010842623,"teacher_disagreement_score":0.6289768,"about_ca_system_score_codex":0.00013135577,"about_ca_system_score_gemma":0.0003516903,"threshold_uncertainty_score":0.97442114},"labels":[],"label_agreement":null},{"id":"W1973615193","doi":"10.1080/0308106042000263078","title":"The origin-destination matrix as an indicator of intrahousehold travel allocation","year":2004,"lang":"en","type":"article","venue":"Transportation Planning and Technology","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Daytime; Destinations; Context (archaeology); Metropolitan area; Residence; Matrix (chemical analysis); Geography; Economics; Demographic economics; Tourism","score_opus":0.019465764698977598,"score_gpt":0.3208854141429901,"score_spread":0.3014196494440125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1973615193","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99540323,0.00025139723,0.0018361777,0.0018265336,0.000060231447,0.00016653394,0.000007993815,0.00016147198,0.00028644022],"genre_scores_gemma":[0.99926,0.000055656255,0.00053302996,0.000015073132,0.00002273484,0.0000144205405,0.000042027666,0.000006617947,0.00005045152],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992216,0.000019982726,0.00024872168,0.00018043543,0.0001726629,0.00015658623],"domain_scores_gemma":[0.99958485,0.00004053297,0.00013900397,0.00011620113,0.00007283414,0.000046593548],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036191387,0.000072902694,0.00010271216,0.00013185298,0.00042053885,0.000021479978,0.00016541511,0.00016203383,0.000007944909],"category_scores_gemma":[0.00003187426,0.00006128976,0.000016925047,0.00037919846,0.0004696306,0.00020049584,9.842796e-7,0.00013262201,0.0000018663593],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041924366,0.000093223956,0.5175719,0.000023398376,0.000016473514,0.0000061036912,0.01185259,0.00008183581,0.0019679668,0.45997825,0.000006613363,0.008359723],"study_design_scores_gemma":[0.0007446613,0.00017711613,0.8791999,0.00004736829,0.000053947104,0.0000011780253,0.010574044,0.000013723982,0.008326563,0.09917196,0.0015106641,0.00017885737],"about_ca_topic_score_codex":0.0009885271,"about_ca_topic_score_gemma":0.0015971235,"teacher_disagreement_score":0.36162803,"about_ca_system_score_codex":0.000023135004,"about_ca_system_score_gemma":0.00015050008,"threshold_uncertainty_score":0.32344872},"labels":[],"label_agreement":null},{"id":"W1974045444","doi":"10.1016/j.jtrangeo.2013.06.005","title":"Does the social environment influence active travel? An investigation of walking in Hamilton, Canada","year":2013,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":72,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Likert scale; Cohesion (chemistry); Travel behavior; Psychology; Mode choice; Built environment; Regression analysis; Social psychology; Poison control; Applied psychology; Transport engineering; Engineering; Public transport; Developmental psychology; Statistics; Mathematics; Medicine; Environmental health; Civil engineering","score_opus":0.007828222190588747,"score_gpt":0.2297230966523678,"score_spread":0.22189487446177905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974045444","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984337,0.0000461111,0.00002199171,0.0010439026,0.00013145462,0.00020179375,0.000013020067,0.0000031300021,0.0001048707],"genre_scores_gemma":[0.9995806,0.000069099355,0.00009458321,0.00013007756,0.00010430564,0.000005517122,0.0000033933065,0.0000053783842,0.0000070077176],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982634,0.00013103317,0.0005969006,0.00012458173,0.0006599867,0.00022408096],"domain_scores_gemma":[0.9991551,0.000055149416,0.00044633183,0.00009765862,0.00013079365,0.00011495358],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006940391,0.00010481496,0.00023469386,0.00011781027,0.00024314503,0.000018368466,0.00038671997,0.000074383526,0.00012503093],"category_scores_gemma":[0.0000057397115,0.000060340575,0.00014580724,0.00032677638,0.0005002784,0.00078005187,0.0000022759336,0.00027277754,1.744995e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022372216,0.000042562555,0.9689777,0.000011134984,0.000025967345,0.000005388925,0.028337365,0.000049247315,0.00081494806,0.000027264125,0.000008793246,0.0016772611],"study_design_scores_gemma":[0.00020210793,0.000029117746,0.98852926,0.00002690307,0.00003450592,1.7971668e-7,0.008364472,0.0000015981207,0.0008056231,0.0016709488,0.00025021334,0.00008504816],"about_ca_topic_score_codex":0.5432697,"about_ca_topic_score_gemma":0.69602126,"teacher_disagreement_score":0.15275158,"about_ca_system_score_codex":0.00007457295,"about_ca_system_score_gemma":0.00038645184,"threshold_uncertainty_score":0.45977175},"labels":[],"label_agreement":null},{"id":"W1974127798","doi":"10.1016/j.tranpol.2011.03.004","title":"Teen travel in the Greater Toronto Area: A descriptive analysis of trends from 1986 to 2006 and the policy implications","year":2011,"lang":"en","type":"article","venue":"Transport Policy","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"TRIPS architecture; Mode choice; Travel behavior; Descriptive statistics; Travel survey; Demographic economics; Mode (computer interface); Destinations; Transit (satellite); Public transport; Geography; Transport engineering; Business; Advertising; Economics; Tourism; Engineering; Computer science","score_opus":0.05702499678634134,"score_gpt":0.3195481449178192,"score_spread":0.26252314813147787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974127798","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9160815,0.000087827735,0.00021655843,0.005143943,0.000012557305,0.00031548567,0.0006705338,0.000019066043,0.07745254],"genre_scores_gemma":[0.9985088,0.000037914637,0.00007988613,0.0005601364,0.0001287782,0.000073526855,0.000049771745,0.000007799139,0.0005533817],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986254,0.00012799552,0.00039246396,0.00029212402,0.00022960496,0.00033243268],"domain_scores_gemma":[0.99924093,0.00006679937,0.00009105183,0.00043065302,0.000053832784,0.00011671597],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005407917,0.00015037751,0.00037500326,0.00028455647,0.00021192891,0.000020212849,0.0005613998,0.0000853446,0.00047424374],"category_scores_gemma":[0.000016363636,0.00008891615,0.00021841015,0.0020093187,0.00058854994,0.00021365039,0.000007469901,0.00009244701,0.0000014823235],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000100238765,0.000092382055,0.62594056,0.0000017754177,0.00017538767,0.0000010417176,0.34160864,0.0000014377249,0.000034103454,0.03005637,0.000048290254,0.0019397755],"study_design_scores_gemma":[0.0003962454,0.000016258771,0.9869094,0.0000038625676,0.00047513528,6.014361e-8,0.008416861,0.000003015685,0.00002886624,0.0030777196,0.000568785,0.00010378927],"about_ca_topic_score_codex":0.8409238,"about_ca_topic_score_gemma":0.7043008,"teacher_disagreement_score":0.36096886,"about_ca_system_score_codex":0.000102844075,"about_ca_system_score_gemma":0.00017872614,"threshold_uncertainty_score":0.5192636},"labels":[],"label_agreement":null},{"id":"W1974185152","doi":"10.5993/ajhb.37.2.15","title":"Neighborhood Preference, Walkability and Walking in Overweight/Obese Men","year":2012,"lang":"en","type":"article","venue":"American Journal of Health Behavior","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver Community College; University of British Columbia","funders":"National Cancer Institute","keywords":"Walkability; Overweight; Preference; Body mass index; Medicine; Obesity; Psychology; Environmental health; Physical activity; Physical therapy; Statistics; Mathematics; Internal medicine","score_opus":0.040876921756075234,"score_gpt":0.3568647863295266,"score_spread":0.3159878645734514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974185152","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99605644,0.0012257432,0.000033014934,0.0011146318,0.00019820848,0.00021574867,0.0000038235235,0.000011137387,0.0011412385],"genre_scores_gemma":[0.9988191,0.00026006732,0.0005073319,0.00019394969,0.00017778325,0.000006863341,7.8743733e-7,0.00000800099,0.000026078798],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976402,0.00052985613,0.0007165177,0.0001451315,0.00041031584,0.00055797014],"domain_scores_gemma":[0.9985772,0.00012626176,0.00063346734,0.00013517054,0.000091851696,0.0004360845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033591515,0.000112387024,0.0004423204,0.00012489862,0.00022493069,0.000030622323,0.00021071291,0.000042299576,0.00012839487],"category_scores_gemma":[0.00008213276,0.00009331168,0.00006705829,0.0003987618,0.00045379045,0.0006887117,0.000019726833,0.00033919408,0.0000016202663],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020919722,0.0002933597,0.8329358,0.000009762354,0.000002737623,0.0000023743096,0.0100845685,4.7704145e-8,0.0000088619245,0.00012646754,0.000030012941,0.15648508],"study_design_scores_gemma":[0.00025061332,0.00021705049,0.9922999,0.00003488036,0.000018405004,0.0000034654513,0.005544202,5.308448e-7,0.0000068939416,0.00019518514,0.0013334552,0.00009539041],"about_ca_topic_score_codex":0.006340134,"about_ca_topic_score_gemma":0.0012413291,"teacher_disagreement_score":0.15936412,"about_ca_system_score_codex":0.00025186382,"about_ca_system_score_gemma":0.0004859054,"threshold_uncertainty_score":0.9584428},"labels":[],"label_agreement":null},{"id":"W1974654961","doi":"10.1007/s11524-011-9650-x","title":"Internal Consistency, Concurrent Validity, and Discriminant Validity of a Measure of Public Support for Policies for Active Living in Transportation (PAL-T) in a Population-based Sample of Adults","year":2012,"lang":"en","type":"article","venue":"Journal of Urban Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National d'Excellence en Santé et en Services Sociaux; Sante Montreal; Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"Social Sciences and Humanities Research Council of Canada; Canadian Institutes of Health Research","keywords":"Discriminant validity; Active living; Concurrent validity; Recreation; Public transport; Sample (material); Public policy; Psychology; Conceptualization; Population; Linear discriminant analysis; Applied psychology; Public health; Medicine; Internal consistency; Environmental health; Computer science; Psychometrics; Statistics; Economics; Clinical psychology; Nursing; Political science; Transport engineering; Engineering; Mathematics; Economic growth","score_opus":0.13302583202425292,"score_gpt":0.38537248541543634,"score_spread":0.25234665339118345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974654961","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99468935,0.00023651017,0.0034569,0.00043198242,0.00022084691,0.00057535764,0.0003778079,0.000002219303,0.000009017033],"genre_scores_gemma":[0.9991228,0.00003926934,0.00069539616,0.000019882016,0.00008148837,0.000009633425,0.000023162806,0.0000064188134,0.000001934426],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99777836,0.00024841048,0.0012085842,0.00010411753,0.00037066845,0.00028985055],"domain_scores_gemma":[0.99687886,0.0010219896,0.0014488616,0.00006643024,0.0004271107,0.00015675375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037948424,0.00009521459,0.00055233325,0.0002431113,0.000067789144,0.000008299666,0.00012745892,0.000067796536,0.0000117891805],"category_scores_gemma":[0.00092793244,0.000082886276,0.000166258,0.00019559481,0.00014411668,0.0004261005,0.0000035298647,0.00011661202,7.2271273e-9],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002177306,0.00047844727,0.9684493,0.00074564543,0.0000097953025,1.1988988e-7,0.027722994,0.0000028611596,0.000029073453,0.0006992688,0.000024681493,0.0016201097],"study_design_scores_gemma":[0.001070292,0.0005172092,0.9924968,0.0006354699,0.000031525393,2.2660673e-7,0.0044511543,0.000044506385,0.0002220283,0.0004179559,0.00004629291,0.00006653144],"about_ca_topic_score_codex":0.024258204,"about_ca_topic_score_gemma":0.07450841,"teacher_disagreement_score":0.050250206,"about_ca_system_score_codex":0.00018664639,"about_ca_system_score_gemma":0.0009972274,"threshold_uncertainty_score":0.98223937},"labels":[],"label_agreement":null},{"id":"W1974699520","doi":"10.1186/s13104-014-0959-x","title":"International inter-school competition to encourage children to walk to school: a mixed methods feasibility study","year":2015,"lang":"en","type":"article","venue":"BMC Research Notes","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Public Health Agency; National Institute for Health and Care Research","keywords":"Competition (biology); Intervention (counseling); Bespoke; Medicine; Demography; Psychology; Physical therapy; Advertising; Nursing; Sociology","score_opus":0.2805279171238088,"score_gpt":0.5358766305868012,"score_spread":0.2553487134629924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974699520","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96529645,0.000018274979,0.02072169,0.004622141,0.00056861073,0.0029282677,0.000044484084,0.000117724165,0.005682367],"genre_scores_gemma":[0.9712257,0.0000015348301,0.026675893,0.0001845566,0.00077489956,0.0002301359,0.000019785752,0.000017341521,0.0008701916],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9936335,0.002529185,0.00044131582,0.0008204597,0.0018733387,0.0007022095],"domain_scores_gemma":[0.99541295,0.00081258593,0.00004629709,0.00063111214,0.0012530054,0.0018440244],"candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.016324323,0.00017317895,0.00028475956,0.00045217393,0.00044581352,0.00051369716,0.0014479795,0.00009118375,0.0011970316],"category_scores_gemma":[0.022469278,0.0001583528,0.00009948883,0.001380259,0.00016132588,0.0004974151,0.00048041315,0.00046544525,0.0008354312],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000328793,0.000656221,0.98191345,0.0000061962637,0.000023660155,0.000003517003,0.00748874,0.000023945275,0.0004487443,0.00015654847,0.0035334192,0.0054167425],"study_design_scores_gemma":[0.0004982912,0.00044665812,0.9824353,0.000036956637,0.000007059972,1.857783e-7,0.008307772,0.000013707249,0.00055605016,0.0017093202,0.005783814,0.00020488746],"about_ca_topic_score_codex":0.019301062,"about_ca_topic_score_gemma":0.058480803,"teacher_disagreement_score":0.03917974,"about_ca_system_score_codex":0.0008484808,"about_ca_system_score_gemma":0.00081540574,"threshold_uncertainty_score":0.99994254},"labels":[],"label_agreement":null},{"id":"W1974901160","doi":"10.1109/geoinformatics.2010.5567587","title":"Identifying high amenity zones in the U.S. and China with advanced GIS techniques","year":2010,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Amenity; Census; Geography; Residence; China; Cartography; Scale (ratio); Regional science; Work (physics); Quarter (Canadian coin); Census tract; Economic geography; Socioeconomics; Demographic economics; Business; Population; Demography; Engineering; Sociology; Archaeology","score_opus":0.012136309357291765,"score_gpt":0.2977003256644287,"score_spread":0.28556401630713696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974901160","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98394626,0.000020084022,0.00031069617,0.0011281339,0.0000439209,0.00020165206,0.0000010686311,0.00007290375,0.014275297],"genre_scores_gemma":[0.9936549,0.00002291319,0.0059606535,0.0000755321,0.000045562814,0.000016163263,0.0000011249194,0.00000286667,0.00022027375],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999427,0.00004028071,0.000086707965,0.00014279895,0.00016543365,0.00013778594],"domain_scores_gemma":[0.99975836,0.000038361155,0.00002997997,0.00012583367,0.000018439936,0.000029021478],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054769224,0.00005663581,0.00007615087,0.000024996854,0.0002593736,0.00009095129,0.00018590076,0.000043805114,0.0001388296],"category_scores_gemma":[0.0000196792,0.000031688647,0.000012480817,0.0001870288,0.00029724019,0.00037101802,0.000010134656,0.00018022468,9.330546e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017592942,0.00007434226,0.9350099,0.000011812299,0.0000028687539,0.000005507215,0.011736554,3.5341284e-8,0.0009842431,0.021490216,0.000037826605,0.030629132],"study_design_scores_gemma":[0.00008588633,0.000017299053,0.9806981,0.0000072962766,0.000004267019,2.2693986e-7,0.001856192,5.5770204e-7,0.0012319883,0.014806797,0.0012183483,0.00007302423],"about_ca_topic_score_codex":0.015042489,"about_ca_topic_score_gemma":0.16350201,"teacher_disagreement_score":0.14845952,"about_ca_system_score_codex":0.000006287842,"about_ca_system_score_gemma":0.000025862826,"threshold_uncertainty_score":0.9915164},"labels":[],"label_agreement":null},{"id":"W1974921635","doi":"10.1139/l04-085","title":"Geographic information system (GIS) based decision support for neighbourhood traffic calming","year":2005,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Federal Highway Administration","keywords":"Traffic calming; Transport engineering; SAFER; Geographic information system; Neighbourhood (mathematics); Decision support system; Retrofitting; Poison control; Sustainable transport; Sustainability; Computer science; Engineering; Geography; Computer security","score_opus":0.008067846419452867,"score_gpt":0.21567324673980456,"score_spread":0.20760540032035169,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974921635","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7530843,0.0004300689,0.2398689,0.0006254371,0.0016654447,0.00040189186,0.000050506827,0.00007526349,0.0037981707],"genre_scores_gemma":[0.99787426,0.0000022308243,0.0016499758,0.00005005869,0.00039537507,0.0000035079725,0.0000046793416,0.00000938674,0.000010549834],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99886674,0.000011693728,0.0004593723,0.00006652279,0.00023834284,0.0003573225],"domain_scores_gemma":[0.998897,0.00008509818,0.0001523142,0.000085753774,0.00021168233,0.0005681647],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008957457,0.00009574398,0.00017428676,0.0004634476,0.0002428349,0.00013026937,0.00023990222,0.00009160687,0.00018147142],"category_scores_gemma":[0.0001702787,0.00009696188,0.00015920345,0.00026759246,0.000032011776,0.0009659276,0.0000014257475,0.0001453221,0.0000031956215],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007156493,0.000031655254,0.08188007,0.0004934283,0.00010290548,0.000065924956,0.011694023,0.7870607,0.000038559265,0.003223283,0.0018901534,0.11344773],"study_design_scores_gemma":[0.0038715925,0.0002876438,0.2101226,0.0013790613,0.00024489695,0.000033993645,0.0039309864,0.23081952,0.00013747865,0.00006675635,0.5480155,0.0010900202],"about_ca_topic_score_codex":0.0012265806,"about_ca_topic_score_gemma":0.28494155,"teacher_disagreement_score":0.55624115,"about_ca_system_score_codex":0.0003210484,"about_ca_system_score_gemma":0.0011472285,"threshold_uncertainty_score":0.72810644},"labels":[],"label_agreement":null},{"id":"W1974993233","doi":"10.1068/a37414","title":"Wasted Density? The Impact of Toronto's Residential-Density-Distribution Policies on Public-Transit Use and Walking","year":2006,"lang":"en","type":"article","venue":"Environment and Planning A Economy and Space","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Public transport; Metropolitan area; Neighbourhood (mathematics); Compact city; Urban density; Crowding; Geography; Transport engineering; Public use; Economic geography; Regional science; Political science; Urban planning; Engineering; Civil engineering; Psychology; Mathematics","score_opus":0.01800602779644927,"score_gpt":0.24806419669256485,"score_spread":0.23005816889611558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974993233","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970538,0.00073906314,0.00017850309,0.00065589085,0.000020668951,0.00013012126,0.000018179171,0.000013393028,0.0011903591],"genre_scores_gemma":[0.99937654,0.00020047354,0.000019658546,0.000019942683,0.00008904925,0.0000017687345,0.000027762286,0.0000035578753,0.00026127294],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993305,0.00007725001,0.00013624493,0.00018844563,0.000078177254,0.00018933197],"domain_scores_gemma":[0.99960625,0.00013601148,0.000084389154,0.00009848606,0.000008515597,0.0000663616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003570333,0.00010587409,0.00014725412,0.000014561749,0.000504994,0.00017899334,0.00005036199,0.000070613074,0.000044405417],"category_scores_gemma":[0.000015256905,0.00008046501,0.00003960045,0.000022500271,0.00029652374,0.00045307068,0.00001820395,0.00007829789,5.1183855e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038541653,0.000024323459,0.99315685,0.0000061254664,0.000021843389,0.0000022105871,0.0040803114,0.000041404393,0.000120253804,0.001802818,0.00027566674,0.00042963913],"study_design_scores_gemma":[0.00018975553,0.000041014926,0.9950105,0.00001628557,0.000021512076,7.4009535e-7,0.0015116371,0.00006153721,0.00015233412,0.00046696918,0.0024287712,0.00009894669],"about_ca_topic_score_codex":0.04335977,"about_ca_topic_score_gemma":0.005492339,"teacher_disagreement_score":0.037867434,"about_ca_system_score_codex":0.000058271118,"about_ca_system_score_gemma":0.000015884323,"threshold_uncertainty_score":0.96301055},"labels":[],"label_agreement":null},{"id":"W1975014515","doi":"10.1016/j.tra.2010.04.002","title":"Exploring day-to-day variability in time use for household members","year":2010,"lang":"en","type":"article","venue":"Transportation Research Part A Policy and Practice","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":115,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Names of the days of the week; Day to day; Time of day; Present day; Time-use survey; Descriptive statistics; Econometrics; Travel time; Time allocation; Statistics; Demography; Mathematics; Operations management; Transport engineering; Economics; Biology; Engineering; Space time","score_opus":0.3592531337292589,"score_gpt":0.47159276777236525,"score_spread":0.11233963404310637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1975014515","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98394835,0.000005621456,0.00028827667,0.01059609,0.00013702823,0.0011668336,0.00015598499,0.00007026279,0.0036315671],"genre_scores_gemma":[0.9966186,0.0001272308,0.0011972779,0.00031584167,0.00041909993,0.00036915627,0.000040360315,0.000017211258,0.00089521304],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9967125,0.0011443264,0.00036203035,0.00044793083,0.0006998268,0.00063335506],"domain_scores_gemma":[0.98595417,0.013029198,0.000067784575,0.00026929236,0.00029632784,0.0003832329],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.020864353,0.00011693288,0.00017672323,0.00026883843,0.0005878343,0.00024024045,0.0002587508,0.00012625275,0.0001444124],"category_scores_gemma":[0.015854288,0.000120728444,0.000051378986,0.0010299983,0.00035538414,0.0029239864,0.0000068573263,0.0005704513,0.000013828646],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025605976,0.0014823807,0.6369462,0.00032695223,0.00009084894,0.00005085198,0.18826263,0.00015716597,0.006439334,0.14339538,0.0030948266,0.017192818],"study_design_scores_gemma":[0.00045960813,0.000051838142,0.4281692,0.00002478551,0.000020160058,1.1903372e-7,0.0011580134,0.00003139421,0.00021962654,0.002089933,0.56758493,0.00019041338],"about_ca_topic_score_codex":0.04403571,"about_ca_topic_score_gemma":0.08479813,"teacher_disagreement_score":0.5644901,"about_ca_system_score_codex":0.00006112161,"about_ca_system_score_gemma":0.00055743,"threshold_uncertainty_score":0.9924356},"labels":[],"label_agreement":null},{"id":"W1975035461","doi":"10.1080/13563475.2014.942506","title":"Teleworking as a Mobility Strategy for Mexico City","year":2014,"lang":"en","type":"article","venue":"International Planning Studies","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Metropolitan area; Work (physics); Modal shift; Service (business); Business; Public transport; Regional science; Environmental planning; Economic growth; Geography; Transport engineering; Marketing; Economics; Engineering","score_opus":0.12261781596105724,"score_gpt":0.43889519811197936,"score_spread":0.3162773821509221,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1975035461","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94506633,0.00038303982,0.0025538646,0.0017274646,0.0010370169,0.00021532309,0.000014570538,0.000116218594,0.048886187],"genre_scores_gemma":[0.9974196,0.000013723886,0.00036090537,0.00022732858,0.0006214114,0.000043052405,0.000010397953,0.000005149531,0.0012984158],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99900115,0.000043022035,0.0002046039,0.00024591308,0.00030215012,0.0002031611],"domain_scores_gemma":[0.9989772,0.0005458068,0.000090891,0.00008587434,0.00025747909,0.000042751464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009072853,0.00009105804,0.00015402693,0.000040381143,0.0004734409,0.000075083335,0.0002750187,0.000051857074,0.000059040012],"category_scores_gemma":[0.0009445619,0.00008229302,0.00007887895,0.000072530784,0.00022749262,0.00020330197,0.000029398867,0.00008961614,0.000007009295],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006384766,0.00007633622,0.96237326,0.000017663113,0.00016689388,0.0000018881393,0.008022556,0.00024594888,0.000021500977,0.021915533,0.0019258329,0.005168741],"study_design_scores_gemma":[0.0007682436,0.00013196346,0.58886755,0.00019384817,0.00005265557,5.0687646e-7,0.011333161,0.0006355808,0.00036470362,0.20655581,0.19066072,0.0004352728],"about_ca_topic_score_codex":0.0004763693,"about_ca_topic_score_gemma":0.0006369889,"teacher_disagreement_score":0.3735057,"about_ca_system_score_codex":0.00008835569,"about_ca_system_score_gemma":0.00004679766,"threshold_uncertainty_score":0.36413723},"labels":[],"label_agreement":null},{"id":"W1975730338","doi":"10.1016/j.jcjd.2013.03.293","title":"Built Environment, Physical Activity and Adiposity in the Prospective Urban Rural Epidemiology (PURE) Study Vancouver Cohort","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Diabetes","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Walkability; Medicine; Built environment; Waist; Environmental health; Body mass index; Obesity; Demography; Overweight; Demographics; Pedestrian; Gerontology; Physical activity; Geography; Physical therapy","score_opus":0.015996192011117294,"score_gpt":0.26645067640619136,"score_spread":0.25045448439507406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1975730338","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978114,0.00024917428,0.0000019597546,0.00073330704,0.0001415533,0.0005307124,0.0000058807673,0.0000026795788,0.00052333076],"genre_scores_gemma":[0.99957937,0.000003023613,0.000009620016,0.00010641139,0.0002305153,0.000016528911,3.2849823e-7,0.000004665351,0.00004955472],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985684,0.00054272456,0.00019759078,0.00014180304,0.00015575653,0.00039372547],"domain_scores_gemma":[0.9989724,0.00035812974,0.00016159489,0.00012795362,0.00004620818,0.0003336888],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013498437,0.000104715786,0.00031135412,0.00006952663,0.00032478504,0.000047856065,0.00030281668,0.000058479836,0.000103099876],"category_scores_gemma":[0.00022479681,0.00007191924,0.0000695258,0.00012238577,0.0005756488,0.00044683227,0.000007934955,0.00034601917,0.000003998988],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000014434119,0.000113649585,0.98974895,0.0000022001232,0.000037648257,0.000003275304,0.008368364,0.0000031286645,0.000014927691,0.000033474018,0.0007173369,0.00095558685],"study_design_scores_gemma":[0.00021223677,0.00012589309,0.9933137,0.000007563073,0.00004409295,8.667629e-8,0.0032170776,0.000013993522,0.000010346588,0.002785821,0.0001867738,0.00008236462],"about_ca_topic_score_codex":0.06335161,"about_ca_topic_score_gemma":0.46772957,"teacher_disagreement_score":0.40437794,"about_ca_system_score_codex":0.00017755675,"about_ca_system_score_gemma":0.00026409997,"threshold_uncertainty_score":0.94288564},"labels":[],"label_agreement":null},{"id":"W1975740324","doi":"10.5038/2375-0901.13.4.2","title":"Using GIS for Measuring Transit Stop Accessibility Considering Actual Pedestrian Road Network","year":2010,"lang":"en","type":"article","venue":"Journal of Public Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":112,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Transport engineering; Pedestrian; Transit (satellite); Service (business); Computer science; Level of service; Public transport; Engineering; Business","score_opus":0.1339573082689822,"score_gpt":0.35453650416462945,"score_spread":0.22057919589564726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1975740324","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9460666,0.00010949921,0.05113195,0.0007656511,0.0013250251,0.00033640143,0.00002164382,0.00004242186,0.00020078654],"genre_scores_gemma":[0.98898214,0.00001430525,0.009664182,0.00003856548,0.0012427071,0.0000046356367,0.000014460796,0.00001863696,0.000020381944],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99758774,0.000121598714,0.0009503838,0.00024258437,0.00061916094,0.0004785107],"domain_scores_gemma":[0.99796855,0.00017531643,0.00066924054,0.0001623387,0.0007071839,0.0003173917],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039027622,0.00016483253,0.0003689075,0.00013768057,0.00064013334,0.00024081528,0.00037514925,0.00021393318,0.00020776292],"category_scores_gemma":[0.0002853397,0.00015646491,0.0003286991,0.00040222978,0.00022466524,0.0022090445,0.0000016638668,0.00047614763,3.956771e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022900755,0.00025159653,0.93982327,0.00012729657,0.00012790565,0.000019165424,0.014399446,0.00077674526,0.009078385,0.0017501131,0.000062327264,0.033354726],"study_design_scores_gemma":[0.0015158156,0.000066007924,0.98466194,0.000055091852,0.00020536054,0.0000027524804,0.0023276089,0.00019826653,0.0006913768,0.004456675,0.0055330214,0.00028606618],"about_ca_topic_score_codex":0.0007415468,"about_ca_topic_score_gemma":0.029287554,"teacher_disagreement_score":0.04483867,"about_ca_system_score_codex":0.000092886854,"about_ca_system_score_gemma":0.0010184415,"threshold_uncertainty_score":0.98842543},"labels":[],"label_agreement":null},{"id":"W1975754397","doi":"10.1080/00420980701520277","title":"Modalities of the New Middle Class: Ideology and Behaviour in the Journey to Work from Gentrified Neighbourhoods in Canada","year":2007,"lang":"en","type":"article","venue":"Urban Studies","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":64,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Gentrification; Ideology; Work (physics); Census; Sociology; Diversity (politics); Middle class; Public transport; Political economy; Political science; Economics; Law; Economic growth; Politics; Demography; Anthropology","score_opus":0.06563940930730973,"score_gpt":0.31113455279730345,"score_spread":0.24549514348999374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1975754397","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98654014,0.0061015803,0.000005893504,0.005715439,0.0003142142,0.00022754536,0.000010354343,0.0000043420873,0.0010804969],"genre_scores_gemma":[0.99863166,0.00005708889,0.000033686956,0.0005988621,0.00012439917,0.000005210236,6.399582e-7,0.000003430807,0.00054503384],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99880815,0.00014390322,0.00031464745,0.0001645059,0.000270069,0.000298727],"domain_scores_gemma":[0.9992318,0.00042980124,0.00007902107,0.00016051144,0.000042799715,0.00005602297],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007358511,0.00009169764,0.0002310535,0.000040166397,0.00017308045,0.000015551675,0.00032313808,0.000045343073,0.000025595962],"category_scores_gemma":[0.00019230085,0.00005595999,0.00003236738,0.00043933478,0.0002404387,0.000059721086,0.000048953196,0.00015633905,3.2698014e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015570624,0.000015611657,0.9308444,0.0000031613788,0.000013601273,0.000006155935,0.06492292,0.0000030633237,0.0000027696688,0.00069886463,0.0031021317,0.00037171334],"study_design_scores_gemma":[0.00018165701,0.00000610331,0.9239753,0.00003337974,0.000014778108,4.0256076e-8,0.07128557,2.4263932e-7,0.000035209257,0.0031152498,0.001290703,0.0000617795],"about_ca_topic_score_codex":0.94325715,"about_ca_topic_score_gemma":0.99833596,"teacher_disagreement_score":0.055078823,"about_ca_system_score_codex":0.0002167383,"about_ca_system_score_gemma":0.00049001054,"threshold_uncertainty_score":0.22819822},"labels":[],"label_agreement":null},{"id":"W1976055810","doi":"10.1177/0309132508089826","title":"Understanding the reproduction of health care: towards geographies in health care work","year":2008,"lang":"en","type":"article","venue":"Progress in Human Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":96,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Health care; Health geography; Work (physics); Diversity (politics); Reproduction; Sociology; Consumption (sociology); Public relations; Health policy; Social science; International health; Economic growth; Political science; Ecology; Anthropology","score_opus":0.0848763272143362,"score_gpt":0.35032457750700086,"score_spread":0.26544825029266467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976055810","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9294134,0.065940134,0.00003328717,0.0024378137,0.00029217172,0.0009136285,0.0000068152417,0.00008646718,0.0008763236],"genre_scores_gemma":[0.9985686,0.0009868293,0.00017393281,0.00006198432,0.00010424088,0.0000643363,0.000022649987,0.00001194099,0.0000054867874],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997202,0.00048045168,0.0007053022,0.00050476525,0.0005446897,0.0005628358],"domain_scores_gemma":[0.99901646,0.000031755866,0.00035893457,0.00042653905,0.00009098903,0.00007534291],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0018301536,0.00015597811,0.0003611939,0.0005919706,0.001314738,0.000042467018,0.00039529204,0.000086176835,0.000018808769],"category_scores_gemma":[0.000019533181,0.00013124202,0.00017163905,0.002826308,0.0019534137,0.00022265241,0.000033559434,0.00030861152,2.2252055e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018162218,0.00007865301,0.87238044,0.00015626318,0.000009097059,0.0000020383218,0.1189797,0.0000072134735,4.2038355e-8,0.0009506262,0.000056037046,0.007361763],"study_design_scores_gemma":[0.0002685895,0.00008251837,0.95263475,0.00016001576,0.00000358417,1.5679937e-7,0.043863386,1.6685206e-7,0.0000046216123,0.0018131497,0.0010414843,0.0001275695],"about_ca_topic_score_codex":0.013171658,"about_ca_topic_score_gemma":0.0228614,"teacher_disagreement_score":0.080254346,"about_ca_system_score_codex":0.0002595034,"about_ca_system_score_gemma":0.00026755116,"threshold_uncertainty_score":0.9999854},"labels":[],"label_agreement":null},{"id":"W1976288478","doi":"10.4236/jgis.2013.54036","title":"GIS-Based Public Services Analysis Based on Municipal Election Areas: A Methodological Approach for the City of Makkah, Saudi Arabia","year":2013,"lang":"en","type":"article","venue":"Journal of Geographic Information System","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Distribution (mathematics); Population; Geography; Geographic information system; Quarter (Canadian coin); Business; Cartography; Sociology; Demography; Mathematics","score_opus":0.063505299289611,"score_gpt":0.3121847010885636,"score_spread":0.2486794017989526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976288478","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.796577,0.00004735921,0.1997438,0.00067931943,0.00017079468,0.0007497931,0.000017421871,0.000035225978,0.001979278],"genre_scores_gemma":[0.99676156,0.0000047914114,0.0028561933,0.00019894492,0.00009166769,0.000053549633,0.000024443962,0.00000296106,0.000005906077],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971782,0.0005536423,0.0010955323,0.000095276766,0.0008289366,0.0002484267],"domain_scores_gemma":[0.9960608,0.0005701696,0.0017185151,0.00024088021,0.0012950782,0.000114595474],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007210869,0.00012713861,0.00044999845,0.00081526657,0.00049126084,0.00023367879,0.00050237624,0.00016613865,0.000062780615],"category_scores_gemma":[0.0001954699,0.00007595831,0.0006770985,0.0018856993,0.00016130293,0.0012820696,0.00000783564,0.00021701121,0.000001155156],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021009485,0.000110002955,0.9902876,0.00036437478,0.00037396332,1.17012796e-7,0.0018935541,0.0046617747,0.000005011355,0.0005001342,0.000026604283,0.0015667763],"study_design_scores_gemma":[0.00074772426,0.00017004783,0.82100046,0.00006056195,0.00048171665,6.679271e-7,0.011103425,0.16535234,0.00003364702,0.0000815054,0.00084289233,0.00012500293],"about_ca_topic_score_codex":0.001969771,"about_ca_topic_score_gemma":0.0004305501,"teacher_disagreement_score":0.20018454,"about_ca_system_score_codex":0.00006622981,"about_ca_system_score_gemma":0.00013556158,"threshold_uncertainty_score":0.3778431},"labels":[],"label_agreement":null},{"id":"W1976389148","doi":"10.1061/(asce)0733-9488(2003)129:1(1)","title":"Evolution of Personal Travel in Toronto Area and Policy Implications","year":2003,"lang":"en","type":"article","venue":"Journal of Urban Planning and Development","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Per capita; Suburbanization; Revenue; Transit (satellite); Geography; TRIPS architecture; Population; Descriptive statistics; Transport engineering; Public transport; Economic geography; Business; Regional science; Engineering; Demography; Metropolitan area; Finance","score_opus":0.031788947506486594,"score_gpt":0.314816801322941,"score_spread":0.2830278538164544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976389148","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9903958,0.003395076,0.00078303256,0.00016519942,0.000038287897,0.000041933534,0.0000015189888,0.0000021973071,0.0051769926],"genre_scores_gemma":[0.9985894,0.00004227378,0.0012073321,0.000015996997,0.000036942853,8.690236e-7,4.947725e-7,0.0000018486572,0.000104840125],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993704,0.00003421341,0.00027438553,0.00006807727,0.00014057911,0.00011236826],"domain_scores_gemma":[0.9996525,0.00003794226,0.00014017352,0.000023862043,0.000062811,0.00008272577],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055986876,0.000048852857,0.0001248437,0.00007261286,0.000120252036,0.000015156147,0.00004472569,0.000039275365,0.000017215272],"category_scores_gemma":[0.00006334226,0.00004243354,0.000016302203,0.00008503062,0.0000673297,0.00015850237,0.0000035904943,0.00006294703,7.3851325e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012696297,0.00003602902,0.96903723,0.000008647224,0.000007866941,0.0000014522869,0.028024543,0.0000010783865,0.00009977822,0.001565144,0.00013506507,0.0010704475],"study_design_scores_gemma":[0.0002447925,0.000019130548,0.98681295,0.000055496144,0.000004178512,0.000003823675,0.009872301,0.0000024937854,0.000050627514,0.0004235114,0.002461409,0.000049282677],"about_ca_topic_score_codex":0.00095359934,"about_ca_topic_score_gemma":0.0010406127,"teacher_disagreement_score":0.018152243,"about_ca_system_score_codex":0.0002736476,"about_ca_system_score_gemma":0.0006217275,"threshold_uncertainty_score":0.17303896},"labels":[],"label_agreement":null},{"id":"W1976655780","doi":"10.3390/ijerph110606009","title":"Are We Driving Our Kids to Unhealthy Habits? Results of the Active Healthy Kids Canada 2013 Report Card on Physical Activity for Children and Youth","year":2014,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":94,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University; University of Alberta; Ministry of the Environment, Conservation and Parks; University of Waterloo; Queen's University; Canadian Fitness and Lifestyle Research Institute; Active Healthy Kids; University of Toronto; Greenfield Research (Canada); Impact; St. Francis Xavier University; Health Canada; Children's Hospital of Eastern Ontario","funders":"Lawson Foundation; Heart and Stroke Foundation of Canada","keywords":"Report card; Physical activity; Screen time; Household income; Suicide prevention; Geography; Environmental health; Psychology; Demography; Gerontology; Poison control; Medicine; Sociology; Physical therapy","score_opus":0.06933796661385817,"score_gpt":0.39704189744403007,"score_spread":0.3277039308301719,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976655780","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85847235,0.000042708183,0.00003149713,0.14036421,0.00023040736,0.00033591565,0.00043371235,0.0000018656935,0.000087328895],"genre_scores_gemma":[0.99856687,0.00025576874,0.00002682565,0.0005024673,0.0005355522,0.0000041631183,0.000011191984,0.000007045832,0.00009010563],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969941,0.0004676341,0.00036146285,0.00023755105,0.001529991,0.00040925745],"domain_scores_gemma":[0.9981514,0.0003295586,0.00054509833,0.00013844087,0.00015326042,0.0006821938],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033109973,0.0000904084,0.00023505713,0.00011650257,0.00044622648,0.000059984173,0.00037835055,0.000043784676,0.000003258017],"category_scores_gemma":[0.0008468462,0.000066077475,0.000060386843,0.0001132572,0.00022108672,0.0002460291,0.00008163309,0.00041165456,2.0409954e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016251999,0.001335609,0.8443387,0.000038877606,0.00013644135,0.0000071766494,0.010454559,0.000012828585,0.00008029844,0.0004407366,0.0071786214,0.13435091],"study_design_scores_gemma":[0.00064251147,0.00059336616,0.98983043,0.00006574293,0.000002430036,0.0000037372968,0.0034173822,0.000009227397,0.000056173616,0.00026754767,0.0050517917,0.000059634556],"about_ca_topic_score_codex":0.18115243,"about_ca_topic_score_gemma":0.25084776,"teacher_disagreement_score":0.14549172,"about_ca_system_score_codex":0.00082574977,"about_ca_system_score_gemma":0.0015671055,"threshold_uncertainty_score":0.82430035},"labels":[],"label_agreement":null},{"id":"W1977105729","doi":"10.1068/b36177","title":"Attitudes to Urban Walking in Tehran","year":2012,"lang":"en","type":"article","venue":"Environment and Planning B Planning and Design","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Pedestrian; Work (physics); Socioeconomics; Geography; Public transport; Perception; Psychology; Environmental health; Sociology; Transport engineering; Medicine; Engineering","score_opus":0.052965114511641376,"score_gpt":0.30242519234542015,"score_spread":0.24946007783377877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1977105729","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9885538,0.004384781,0.004066425,0.00011194835,0.00010331099,0.00019824674,0.0000018924868,0.000042037973,0.0025375474],"genre_scores_gemma":[0.9966786,0.000033355336,0.002559656,0.000121029734,0.00022717826,0.000011595773,0.000004444028,0.00000832618,0.00035583772],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989073,0.00011774743,0.00015447117,0.0002246679,0.00018040068,0.0004153767],"domain_scores_gemma":[0.9994413,0.0002111884,0.00003608744,0.0000795365,0.0000022906813,0.00022956832],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011455535,0.0001245023,0.00015483492,0.000087392305,0.00035924278,0.00007025162,0.00007881253,0.000083473125,0.00005087443],"category_scores_gemma":[0.000037539234,0.00011840349,0.000015866364,0.00007919589,0.00010173136,0.00026805466,0.00002332798,0.00013468422,0.000009557974],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030879542,0.00003100644,0.9609936,0.000008000083,0.0000054063444,0.000008967908,0.036697462,0.00021947037,0.00011202752,0.00008202668,0.00043047476,0.0013807137],"study_design_scores_gemma":[0.00017642038,0.00003201557,0.9854551,0.00009083811,0.000010268357,5.041147e-7,0.0020230853,0.00003123879,0.00005905079,0.00008274697,0.011849683,0.0001890695],"about_ca_topic_score_codex":0.00019823281,"about_ca_topic_score_gemma":0.000006050078,"teacher_disagreement_score":0.034674376,"about_ca_system_score_codex":0.000031188596,"about_ca_system_score_gemma":0.00001315807,"threshold_uncertainty_score":0.48283544},"labels":[],"label_agreement":null},{"id":"W1977108564","doi":"10.1016/j.trd.2011.01.009","title":"Validating walkability indices: How do different households respond to the walkability of their neighborhood?","year":2011,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":345,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Walkability; TRIPS architecture; Index (typography); Geography; Transport engineering; Correlation; Built environment; Computer science; Mathematics; Engineering; Civil engineering","score_opus":0.12181755770417442,"score_gpt":0.3223829198972372,"score_spread":0.2005653621930628,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1977108564","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9938101,0.00020413258,0.00064149254,0.0019782179,0.000103234604,0.0015535195,0.0002926911,0.00006068304,0.0013559159],"genre_scores_gemma":[0.9986034,0.0005066751,0.00016909097,0.00004406268,0.00009272001,0.00022557526,0.00008548951,0.000028297425,0.00024469805],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9956112,0.0005554209,0.0007339765,0.0008240047,0.0014604493,0.00081495044],"domain_scores_gemma":[0.998172,0.0003209713,0.00016002162,0.00075401634,0.00010741101,0.00048562087],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0043869102,0.00030831204,0.00045063498,0.00012443129,0.0009268903,0.000052519317,0.0006600603,0.00019866058,0.0013258429],"category_scores_gemma":[0.000034054276,0.00021448925,0.00020768354,0.00050118077,0.0015132368,0.00039967502,0.000014633544,0.0005174083,0.000008668595],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002816389,0.0004562955,0.9209765,0.0001063489,0.00004702978,0.0000062919826,0.07210124,0.000014485405,0.00028950468,0.0011972853,0.000033518674,0.004489825],"study_design_scores_gemma":[0.0003805749,0.00019512474,0.9743088,0.000048227674,0.000052029685,5.7617008e-8,0.009609533,0.0000038502412,0.0020905635,0.0024326632,0.010640202,0.00023836226],"about_ca_topic_score_codex":0.003275007,"about_ca_topic_score_gemma":0.013447335,"teacher_disagreement_score":0.062491708,"about_ca_system_score_codex":0.00011783158,"about_ca_system_score_gemma":0.00013394814,"threshold_uncertainty_score":0.99958706},"labels":[],"label_agreement":null},{"id":"W1977286965","doi":"10.1080/02763893.2013.858095","title":"Evidence-Based Evaluation of Staircase Architectural Design to Reduce the Risk of Falling for Older Adults","year":2014,"lang":"en","type":"article","venue":"Journal of Housing for the Elderly","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Falling (accident); Architectural design; Design elements and principles; Engineering; Geometric design; Simulation; Computer science; Transport engineering; Architecture; Systems engineering; Psychology","score_opus":0.1020787191529424,"score_gpt":0.37595056911049746,"score_spread":0.2738718499575551,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1977286965","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7319205,0.0004224886,0.26518515,0.0014166039,0.00021908339,0.00082320767,0.000004809623,0.0000036763233,0.000004506744],"genre_scores_gemma":[0.99162525,0.000012142547,0.007966509,0.00003658708,0.00033033921,0.000014164088,3.3034433e-7,0.000008790074,0.000005871787],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99801034,0.0005004834,0.00048640557,0.00010087833,0.0007256906,0.00017617653],"domain_scores_gemma":[0.99458724,0.0032387585,0.00080108753,0.00016886616,0.001151936,0.000052111027],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013153452,0.00007913866,0.00019740354,0.000063815016,0.00043410074,0.00004228408,0.00039262907,0.000041587853,0.0000075174094],"category_scores_gemma":[0.0028930982,0.000042650445,0.0002462693,0.0001734734,0.00015462415,0.00017986755,0.0000052556984,0.00012676061,1.0888685e-7],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002314552,0.000112936774,0.0047921133,0.00009321686,0.00010035133,2.0805838e-7,0.023411803,0.06621303,0.0017340487,0.00004676342,0.00014978563,0.9010312],"study_design_scores_gemma":[0.019921022,0.014921836,0.37121475,0.012767671,0.0096369125,0.000008410776,0.05065021,0.25534555,0.19365424,0.06962007,0.0009022599,0.0013570748],"about_ca_topic_score_codex":0.00051924813,"about_ca_topic_score_gemma":0.0006761619,"teacher_disagreement_score":0.8996741,"about_ca_system_score_codex":0.000058467343,"about_ca_system_score_gemma":0.00042121022,"threshold_uncertainty_score":0.45587504},"labels":[],"label_agreement":null},{"id":"W1978137217","doi":"10.1016/j.socscimed.2011.03.023","title":"Housing and health in three contrasting neighbourhoods in Accra, Ghana","year":2011,"lang":"en","type":"article","venue":"Social Science & Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":80,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Durham University","keywords":"Mental health; Educational attainment; Socioeconomic status; Environmental health; Socioeconomics; Developing country; Sample (material); Public health; Public housing; Work (physics); Economic growth; Gerontology; Geography; Demographic economics; Psychology; Sociology; Medicine; Population; Economics","score_opus":0.08854611751069394,"score_gpt":0.37039934304881966,"score_spread":0.28185322553812575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978137217","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.962339,0.00034203325,0.00013597702,0.004802512,0.00024880774,0.0002470203,8.308467e-7,0.0000334196,0.03185043],"genre_scores_gemma":[0.99904543,0.00002630795,0.00005522891,0.00054685416,0.00030402173,0.0000037603156,5.103596e-7,0.0000045113497,0.0000133983],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99812967,0.000073103445,0.00033737652,0.00034334735,0.00046703592,0.0006494557],"domain_scores_gemma":[0.9995068,0.000045835197,0.00012156613,0.00007716594,0.000051629177,0.00019701544],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.005148988,0.000095512434,0.00027880326,0.00018339702,0.0007862185,0.000029250361,0.00032671058,0.000063046056,0.00013986973],"category_scores_gemma":[0.00026416368,0.00008226829,0.000017869714,0.0015792529,0.002730748,0.00050931476,0.000025898593,0.00020827328,7.75199e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000058658043,0.000032886714,0.8496674,0.0000057977813,5.782461e-7,0.0000043252257,0.10192179,2.6265454e-8,0.00004022541,0.0046532573,0.000010210001,0.043657638],"study_design_scores_gemma":[0.00045057145,0.0000414436,0.97556597,0.00007865756,0.000002672219,8.2044025e-8,0.0112982765,0.000019272866,0.00000822934,0.012387472,0.00005817193,0.0000891683],"about_ca_topic_score_codex":0.07435539,"about_ca_topic_score_gemma":0.14900398,"teacher_disagreement_score":0.12589858,"about_ca_system_score_codex":0.00026113036,"about_ca_system_score_gemma":0.0006238551,"threshold_uncertainty_score":0.99998325},"labels":[],"label_agreement":null},{"id":"W1978604861","doi":"10.1016/j.socscimed.2012.01.018","title":"Associations between perceived neighborhood environmental attributes and adults’ sedentary behavior: Findings from the USA, Australia and Belgium","year":2012,"lang":"en","type":"article","venue":"Social Science & Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":98,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver Community College; University of British Columbia","funders":"National Cancer Institute; National Heart, Lung, and Blood Institute; National Medical Research Council; National Health and Medical Research Council; Fonds Wetenschappelijk Onderzoek","keywords":"Walkability; Sitting; Destinations; Sedentary behavior; Built environment; Body mass index; Level design; Demography; Sedentary lifestyle; Environmental health; Index (typography); Geography; Multilevel model; Physical activity; Psychology; Gerontology; Medicine; Tourism; Physical therapy; Ecology; Sociology","score_opus":0.046861916931711926,"score_gpt":0.33064117876107807,"score_spread":0.28377926182936614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978604861","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99532235,0.00017112523,0.00000552339,0.0031900294,0.00033669433,0.0002946264,0.00028109548,0.000021793621,0.000376751],"genre_scores_gemma":[0.9978273,0.000035191577,0.000009046021,0.00021762456,0.0016815334,0.000009737058,0.000079272366,0.0000053424537,0.00013497268],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99790204,0.0001015375,0.00024782098,0.0003227392,0.0008504974,0.0005753396],"domain_scores_gemma":[0.99920607,0.00023655148,0.00010778875,0.00010443878,0.000029156618,0.00031598625],"candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0015001221,0.00013882102,0.00023200951,0.000036081667,0.0027833728,0.000077171135,0.0003659221,0.00011318267,0.0007214997],"category_scores_gemma":[0.00014705292,0.00010010094,0.00003971781,0.00035229386,0.004367761,0.0008357128,0.00006091885,0.00022897944,0.0000097247375],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000023789303,0.000033002692,0.93818957,8.1854506e-7,0.0000066937973,4.115497e-7,0.05965691,2.3894684e-9,0.0006134473,0.00022588627,0.00020031526,0.0010705866],"study_design_scores_gemma":[0.00033345478,0.000026872962,0.99040455,0.0000125220595,0.000131358,9.851055e-8,0.008229481,3.415005e-7,0.000029451236,0.00031413467,0.00039437253,0.00012336338],"about_ca_topic_score_codex":0.029748043,"about_ca_topic_score_gemma":0.0040040235,"teacher_disagreement_score":0.052215002,"about_ca_system_score_codex":0.00020353234,"about_ca_system_score_gemma":0.0000638979,"threshold_uncertainty_score":0.9985149},"labels":[],"label_agreement":null},{"id":"W1978654608","doi":"10.1068/a45183","title":"Urban Mobility and Social-Spatial Contact-Introduction","year":2012,"lang":"en","type":"article","venue":"Environment and Planning A Economy and Space","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Social contact; Geography; Sociology; Communication","score_opus":0.01420993468103667,"score_gpt":0.2342548681474993,"score_spread":0.22004493346646262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978654608","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9927973,0.0015150268,0.0001945625,0.0019340815,0.00010492112,0.00013035884,0.0000044995377,0.000019414629,0.0032998475],"genre_scores_gemma":[0.9981142,0.0000829647,0.000053779255,0.000057316767,0.0009594744,0.000006977016,0.000009640012,0.000003602663,0.00071202836],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99938154,0.000054555265,0.00009894157,0.0002023455,0.00004974809,0.00021287272],"domain_scores_gemma":[0.99974144,0.00004417052,0.00005068175,0.000055329627,0.000002489832,0.00010589317],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048168088,0.00008717607,0.00012771817,0.000017550286,0.0005292769,0.000055189994,0.000027903414,0.00007526374,0.00015650758],"category_scores_gemma":[0.0000062040485,0.00008678871,0.00001739582,0.000013304467,0.00022096708,0.00035995024,0.00001702019,0.000090273046,0.0000037186144],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018833818,0.000028983817,0.97945964,0.000011557693,0.000009651833,3.0974388e-7,0.016685275,4.2845164e-7,0.00001969002,0.0014767705,0.00071627076,0.0015725839],"study_design_scores_gemma":[0.00016916305,0.000016796492,0.72328824,0.0000022558293,0.000017768527,2.682552e-7,0.003084977,0.000014190807,0.000027739734,0.00017867051,0.27309176,0.00010818345],"about_ca_topic_score_codex":0.00052807375,"about_ca_topic_score_gemma":0.000055830802,"teacher_disagreement_score":0.27237546,"about_ca_system_score_codex":0.00002617978,"about_ca_system_score_gemma":0.000007177566,"threshold_uncertainty_score":0.40708238},"labels":[],"label_agreement":null},{"id":"W1979198955","doi":"10.1155/2013/916460","title":"A Population Approach to Transportation Planning: Reducing Exposure to Motor-Vehicles","year":2013,"lang":"en","type":"article","venue":"Journal of Environmental and Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; University of Saskatchewan; Saskatchewan Health","funders":"Canadian Institutes of Health Research; Saskatchewan Health Research Foundation","keywords":"Public health; Occupational safety and health; Psychological intervention; Business; Transport engineering; Injury prevention; Public transport; Poison control; Suicide prevention; Productivity; Environmental health; Human factors and ergonomics; Population; Environmental planning; Risk analysis (engineering); Medicine; Engineering; Economic growth; Geography; Economics","score_opus":0.03733677040388254,"score_gpt":0.2894418188195283,"score_spread":0.25210504841564574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979198955","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9926961,0.0002124142,0.000493533,0.0059393705,0.00007747959,0.00028261662,0.000009755234,0.0000073761457,0.00028132077],"genre_scores_gemma":[0.9970655,0.000030934767,0.0019123673,0.0006818419,0.00018539421,0.000005571584,0.000010728813,0.0000053385206,0.000102308986],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988581,0.00008743322,0.00037479252,0.00012633475,0.00032023192,0.00023308859],"domain_scores_gemma":[0.99917465,0.000017658898,0.00016919895,0.000054028773,0.000012498781,0.0005719484],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074438803,0.000068500995,0.00015725107,0.00009394324,0.0002616363,0.00007669483,0.00009822415,0.00004486727,0.00009622101],"category_scores_gemma":[0.000014597684,0.000057923633,0.000039544637,0.00009739991,0.0000348867,0.00059812283,0.0000039897377,0.00010817927,0.0000041015746],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016503749,0.00021325148,0.9262706,0.000021489928,0.000009112725,7.911217e-7,0.030283554,0.000055911398,0.0007669089,0.00010444513,0.0004686403,0.041788764],"study_design_scores_gemma":[0.00013188277,0.00018959006,0.98910266,0.000015872241,0.0000027486296,7.6395304e-7,0.006869449,0.0000055935943,0.000003749361,0.00012762485,0.0034882156,0.00006185914],"about_ca_topic_score_codex":0.0024240296,"about_ca_topic_score_gemma":0.000080761194,"teacher_disagreement_score":0.06283203,"about_ca_system_score_codex":0.00013784674,"about_ca_system_score_gemma":0.000065839005,"threshold_uncertainty_score":0.36644238},"labels":[],"label_agreement":null},{"id":"W1979410871","doi":"10.1111/j.1753-6405.2010.00621.x","title":"Moving urban trips from cars to bicycles: impact on health and emissions","year":2010,"lang":"en","type":"article","venue":"Australian and New Zealand Journal of Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":249,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Victoria University of Wellington; University of Auckland; University of Victoria","keywords":"Kilometer; TRIPS architecture; Greenhouse gas; Air pollution; Occupational safety and health; Poison control; Christian ministry; Environmental science; Environmental health; Injury prevention; Transport engineering; Business; Engineering; Medicine","score_opus":0.08423027214321921,"score_gpt":0.3881956665652545,"score_spread":0.3039653944220353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979410871","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8721457,0.00026057678,0.000013603758,0.12695524,0.00030880285,0.00014828912,0.000036455975,0.000014732301,0.00011659135],"genre_scores_gemma":[0.99465734,0.00052244536,0.00047344554,0.0018713186,0.00082829245,5.031451e-7,0.0000067569317,0.000009881606,0.0016300089],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980308,0.00023437405,0.0005570662,0.00021691975,0.00036263876,0.0005981978],"domain_scores_gemma":[0.99516714,0.0001415888,0.0003623585,0.00014147036,0.0000681974,0.004119222],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023266042,0.0001480802,0.00040962143,0.00016793454,0.00049463,0.0002316951,0.00020551625,0.000109805485,0.00020629095],"category_scores_gemma":[0.00021044735,0.000105048966,0.00008652972,0.00028250713,0.000110491375,0.00037490466,0.000013067754,0.0005770473,0.0000021610224],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043445943,0.00011643786,0.74343,0.000012737481,0.000029064286,0.0000070112433,0.024761664,3.856409e-7,0.00007127311,0.00017647345,0.122037634,0.10931388],"study_design_scores_gemma":[0.0007203303,0.0006199316,0.73932976,0.000088132,0.000005522347,0.000005303564,0.0028947,9.781711e-7,0.0000062749373,0.0007518956,0.2554642,0.00011299574],"about_ca_topic_score_codex":0.03881732,"about_ca_topic_score_gemma":0.009448431,"teacher_disagreement_score":0.13342658,"about_ca_system_score_codex":0.00011190897,"about_ca_system_score_gemma":0.0030377717,"threshold_uncertainty_score":0.9675833},"labels":[],"label_agreement":null},{"id":"W1979426043","doi":"10.1080/21650020.2014.906910","title":"The impact of planning policies on bicycle-transit integration in Calgary","year":2014,"lang":"en","type":"article","venue":"Urban Planning and Transport Research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Cycling; Transport engineering; Public transport; Transportation planning; Transit (satellite); Business; Environmental planning; Geography; Engineering","score_opus":0.07716002408483506,"score_gpt":0.4286080269397923,"score_spread":0.3514480028549572,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979426043","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9774398,0.0005279103,0.00019163883,0.00029637592,0.000040620253,0.00022165802,0.0000073081114,0.000030824573,0.021243855],"genre_scores_gemma":[0.99943477,0.000033360466,0.000017783756,0.000010374589,0.00010552975,0.000011874216,0.000018796825,0.000010231431,0.00035727504],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979639,0.00030504022,0.00031325364,0.00026405006,0.000599803,0.0005539236],"domain_scores_gemma":[0.9987714,0.00074614154,0.000050007573,0.00019646167,0.000100180456,0.00013578792],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003456869,0.00012488819,0.00021222683,0.0002618307,0.00074267737,0.00006505869,0.00028545145,0.00012188833,0.000017680844],"category_scores_gemma":[0.00010981036,0.00008255941,0.00008743526,0.0005665062,0.0007262731,0.00016068165,0.000005941802,0.00057148427,0.0000018868793],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020858184,0.00005411305,0.9710575,0.0000143162815,0.000011619791,0.000008684546,0.023293898,0.00020659299,0.0001508091,0.0018561098,0.00015117315,0.0029866195],"study_design_scores_gemma":[0.00025701488,0.00018518373,0.99494845,0.00020205484,0.0000045162155,1.8392194e-7,0.0018166221,0.00030011166,0.00016525826,0.001277808,0.0007474281,0.00009536191],"about_ca_topic_score_codex":0.018252805,"about_ca_topic_score_gemma":0.0017980469,"teacher_disagreement_score":0.023890974,"about_ca_system_score_codex":0.00006430679,"about_ca_system_score_gemma":0.00015415289,"threshold_uncertainty_score":0.9882847},"labels":[],"label_agreement":null},{"id":"W1979844637","doi":"10.1016/j.healthplace.2014.12.008","title":"Association between neighborhood walkability and GPS-measured walking, bicycling and vehicle time in adolescents","year":2015,"lang":"en","type":"article","venue":"Health & Place","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":192,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Institutes of Health; National Heart, Lung, and Blood Institute; U.S. Department of Transportation","keywords":"Walkability; Global Positioning System; Association (psychology); Level design; Geography; Transport engineering; Built environment; Computer science; Psychology; Engineering; Civil engineering; Telecommunications","score_opus":0.03524507379156691,"score_gpt":0.3228467228049992,"score_spread":0.2876016490134323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979844637","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.993973,0.00074673386,0.000019457779,0.004175475,0.00009510625,0.00036404023,0.000010446045,0.00006080912,0.00055488973],"genre_scores_gemma":[0.9992451,0.000039970702,0.000059121183,0.00022991214,0.00015851282,0.000004463167,0.0000064772594,0.000007315366,0.00024910845],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980432,0.00048497968,0.00033076774,0.00031312567,0.0004088151,0.0004191394],"domain_scores_gemma":[0.9991293,0.00014683096,0.00017537482,0.00011371629,0.00007615503,0.0003586074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004759892,0.00009807826,0.0002566935,0.00004768781,0.00026271364,0.000062894695,0.00009484668,0.0001560959,0.000011359665],"category_scores_gemma":[0.0005964785,0.000101770696,0.000019863544,0.00024270319,0.000073293195,0.0003036996,0.000023170598,0.00024471091,0.0000102095655],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020930964,0.000044754925,0.9852446,0.00005270442,0.000003956358,5.3137495e-7,0.006862661,5.886705e-7,0.000004072328,0.000010130093,0.0001818339,0.007573244],"study_design_scores_gemma":[0.0006662346,0.000032736425,0.99685496,0.00008437031,0.00000825697,3.980628e-8,0.00047530993,0.0001395569,0.0000041365283,0.0007691602,0.0008654703,0.000099784564],"about_ca_topic_score_codex":0.010291087,"about_ca_topic_score_gemma":0.01473824,"teacher_disagreement_score":0.0116103515,"about_ca_system_score_codex":0.0005886414,"about_ca_system_score_gemma":0.00040903804,"threshold_uncertainty_score":0.99629945},"labels":[],"label_agreement":null},{"id":"W1980035919","doi":"10.3390/ijerph9010294","title":"Sport Fields as Potential Catalysts for Physical Activity in the Neighbourhood","year":2012,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"Social Sciences and Humanities Research Council of Canada; Canadian Institutes of Health Research","keywords":"Neighbourhood (mathematics); Recreation; Residence; Respondent; Psychological intervention; Physical activity; Logistic regression; Psychology; Population; Environmental health; Gerontology; Geography; Demography; Medicine; Physical therapy","score_opus":0.0800458671853667,"score_gpt":0.43860324397339207,"score_spread":0.35855737678802535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1980035919","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9740498,0.00021555989,0.000082775514,0.024166679,0.00018763152,0.00016625095,0.000017184313,0.000001340558,0.001112773],"genre_scores_gemma":[0.99839395,0.00026752168,0.00002296088,0.00023169613,0.0009995331,0.0000057546804,0.000006510612,0.0000029938674,0.00006904979],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99817026,0.00016668651,0.0001616836,0.00008080772,0.0010335513,0.00038700656],"domain_scores_gemma":[0.9993447,0.00018219161,0.00010046784,0.000057530466,0.000042152755,0.00027296747],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004174737,0.000046613608,0.000100345365,0.000105108506,0.00021705436,0.000091731774,0.00037666754,0.00003736435,0.00007441071],"category_scores_gemma":[0.00011453625,0.000032804983,0.000058798425,0.00007528996,0.00023638729,0.0006747589,0.000030272133,0.00032901485,0.000003020383],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039319962,0.0051124743,0.7465816,0.000016119551,0.00006561311,0.000026158166,0.02225279,7.1626187e-7,0.00012391627,0.009953693,0.0009706231,0.2145031],"study_design_scores_gemma":[0.00045283203,0.00028445243,0.97070754,0.000008382935,0.0000017613448,0.000009468204,0.0052372296,0.000008738641,0.00003992636,0.0028561288,0.020347014,0.000046522524],"about_ca_topic_score_codex":0.0014509135,"about_ca_topic_score_gemma":0.00046283397,"teacher_disagreement_score":0.22412594,"about_ca_system_score_codex":0.00021851649,"about_ca_system_score_gemma":0.00032640254,"threshold_uncertainty_score":0.21933569},"labels":[],"label_agreement":null},{"id":"W1980305194","doi":"10.2105/ajph.2008.135319","title":"The Influence of the Physical Environment and Sociodemographic Characteristics on Children's Mode of Travel to and From School","year":2008,"lang":"en","type":"article","venue":"American Journal of Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":398,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University","funders":"Social Sciences and Humanities Research Council of Canada; Canadian Institutes of Health Research; Ministère de l’Éducation, Gouvernement de l’Ontario","keywords":"Environmental health; Association (psychology); Demography; Mode (computer interface); Psychology; Geography; Medicine; Sociology; Computer science","score_opus":0.016938040427861668,"score_gpt":0.28547362928234105,"score_spread":0.26853558885447937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1980305194","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98880666,0.00007610185,0.00008625004,0.010848168,0.000021201713,0.0001114844,0.000036403337,0.0000015229027,0.000012194666],"genre_scores_gemma":[0.9985535,0.0007587217,0.00010546759,0.0004844593,0.00008863991,8.222691e-7,4.5237945e-7,0.0000035772543,0.0000043162404],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986852,0.00028050411,0.00034180967,0.0000982798,0.00040503283,0.00018917248],"domain_scores_gemma":[0.9987552,0.00017151695,0.00059267913,0.00013156241,0.000053138683,0.00029585947],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006530735,0.00006630625,0.00026733527,0.000035645055,0.00036104073,0.000015693526,0.00025401884,0.0000165166,0.000003377519],"category_scores_gemma":[0.00012699758,0.00003829987,0.000060591126,0.00018801306,0.0016081933,0.00011078467,0.000018685643,0.00020391983,1.3497446e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014957812,0.000094031304,0.9653193,0.0000020805808,0.000022966211,2.419645e-7,0.011661799,0.000006511591,0.00007070607,0.00017994244,0.000021355669,0.022606157],"study_design_scores_gemma":[0.00010755329,0.00024027088,0.99800205,0.000016828779,0.0000060570183,7.1407067e-7,0.0011882719,0.0000046833306,0.000012657104,0.00023998463,0.00014530757,0.000035589415],"about_ca_topic_score_codex":0.0030993528,"about_ca_topic_score_gemma":0.00008199833,"teacher_disagreement_score":0.032682832,"about_ca_system_score_codex":0.000041487347,"about_ca_system_score_gemma":0.00044761403,"threshold_uncertainty_score":0.5925455},"labels":[],"label_agreement":null},{"id":"W1980429677","doi":"10.3390/su5114889","title":"Social Sustainability and Its Indicators through a Disability Studies and an Ability Studies Lens","year":2013,"lang":"en","type":"article","venue":"Sustainability","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Sustainability; Lens (geology); Through-the-lens metering; Social sustainability; Psychology; Sociology; Optics; Ecology; Physics; Biology","score_opus":0.04686479080475716,"score_gpt":0.4046809367909613,"score_spread":0.35781614598620415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1980429677","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9732403,0.004432068,0.0000091994025,0.017930873,0.00016012829,0.0034983656,0.00001968126,0.00034791187,0.00036147752],"genre_scores_gemma":[0.99842787,0.00032270706,0.00008873627,0.00017052879,0.00032156,0.00047692412,0.000006326422,0.000025806403,0.00015952173],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9929452,0.0023062604,0.00097439054,0.0017448161,0.00072971947,0.0012995955],"domain_scores_gemma":[0.9932524,0.0012366086,0.00029532783,0.000827927,0.0039755,0.00041224895],"candidate_categories":["metaresearch","metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0056822216,0.0005594339,0.0010994321,0.00008085111,0.0034455296,0.0002344669,0.00047473476,0.0003776571,0.000099892844],"category_scores_gemma":[0.012652218,0.00048183405,0.00019858759,0.00093089114,0.012324272,0.0038145673,0.0004323946,0.000648204,0.0000027130022],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007059217,0.0005086073,0.8500083,0.0018906196,0.000109258246,0.000003562891,0.109302685,7.070671e-7,0.0000038028074,0.02935984,0.000096642434,0.008645353],"study_design_scores_gemma":[0.00026104786,0.000084892396,0.48766172,0.0000066751136,0.000055672244,1.9039388e-7,0.14482978,0.000004425098,0.000016418722,0.36621544,0.0005673451,0.00029639716],"about_ca_topic_score_codex":0.008472357,"about_ca_topic_score_gemma":0.0058244057,"teacher_disagreement_score":0.36234662,"about_ca_system_score_codex":0.0036835517,"about_ca_system_score_gemma":0.0009847435,"threshold_uncertainty_score":0.9997633},"labels":[],"label_agreement":null},{"id":"W1980468670","doi":"10.1016/j.socscimed.2010.09.039","title":"Do area characteristics predict change in moderate-to-vigorous physical activity from ages 11 to 15 years?","year":2010,"lang":"en","type":"article","venue":"Social Science & Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":53,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"Canadian Institutes of Health Research; Durham University","keywords":"Residence; Socioeconomic status; Demography; Neighbourhood (mathematics); Social deprivation; Ethnic group; Gerontology; Cohort; Medicine; Psychology; Geography; Population; Sociology","score_opus":0.04538556203245196,"score_gpt":0.3539373713840441,"score_spread":0.3085518093515921,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1980468670","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9915878,0.000006742017,0.000055462286,0.0046494636,0.0011335491,0.0005190418,0.00005759524,0.00007792111,0.0019124157],"genre_scores_gemma":[0.99553216,0.0000034298625,0.000024815883,0.0005963691,0.0036996016,0.00004686925,0.0000082057895,0.000009884519,0.00007865039],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99729806,0.000071332826,0.00019234374,0.0006018755,0.0011751167,0.0006612541],"domain_scores_gemma":[0.99894524,0.000100122656,0.00008944855,0.00023635621,0.00013712762,0.0004917348],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013582202,0.00016350747,0.00038559383,0.0001450591,0.00060264237,0.00010812874,0.00076638744,0.0001240248,0.0002865321],"category_scores_gemma":[0.00059528975,0.00014209279,0.000048457376,0.0014826737,0.0016175496,0.00058056624,0.0000716448,0.00038174278,0.000023694447],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055573357,0.00023767236,0.7269439,0.0000044000694,0.0000028285776,0.000021588172,0.19444498,2.1121447e-7,0.012486235,0.0005917427,0.00022407246,0.06498676],"study_design_scores_gemma":[0.00024146649,0.000048633025,0.99570113,0.000031474858,0.0000122493,4.7597666e-8,0.0010787937,0.00006398132,0.00016089343,0.0009966319,0.0014931143,0.00017157222],"about_ca_topic_score_codex":0.02896967,"about_ca_topic_score_gemma":0.026353434,"teacher_disagreement_score":0.2687572,"about_ca_system_score_codex":0.00015179101,"about_ca_system_score_gemma":0.00026700596,"threshold_uncertainty_score":0.99141306},"labels":[],"label_agreement":null},{"id":"W1981125723","doi":"10.1186/1471-2288-12-39","title":"Measuring sidewalk distances using Google Earth","year":2012,"lang":"en","type":"article","venue":"BMC Medical Research Methodology","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Queen's University","funders":"Canadian Institutes of Health Research; Ontario Ministry of Research and Innovation; Heart and Stroke Foundation of Canada","keywords":"Computer science; MEDLINE; Data science; Information retrieval; Biology","score_opus":0.8103782826320634,"score_gpt":0.597717910371374,"score_spread":0.21266037226068935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981125723","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88966227,0.0029304908,0.08075955,0.0006992284,0.00089289335,0.000279412,0.000002948467,0.000081423575,0.024691805],"genre_scores_gemma":[0.9438635,0.00015136211,0.052832104,0.00008699282,0.0017513938,0.000020190257,0.0000023149357,0.000013836384,0.0012782819],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9786038,0.016264798,0.000392221,0.00036610165,0.0028010171,0.0015720524],"domain_scores_gemma":[0.9794839,0.018727845,0.00006738222,0.0003068945,0.00025004477,0.0011639358],"candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.07411317,0.000112430025,0.00036440938,0.00016204883,0.0008864019,0.00004865184,0.000731638,0.00033105662,0.0043136966],"category_scores_gemma":[0.061930463,0.00009261943,0.000113418384,0.00072510564,0.0022894333,0.00039060984,0.0001374212,0.00080230454,0.000087148874],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001243731,0.00020509164,0.9245969,0.00011897059,0.000024055846,0.000020443542,0.007311796,0.0000018643824,0.0010850672,0.027204493,0.000307349,0.038999617],"study_design_scores_gemma":[0.0015938159,0.00017448096,0.5542477,0.00036880243,0.00006776062,0.000010749575,0.02631232,0.00056321296,0.005927827,0.0500924,0.35968605,0.0009549173],"about_ca_topic_score_codex":0.008216245,"about_ca_topic_score_gemma":0.029338153,"teacher_disagreement_score":0.37034923,"about_ca_system_score_codex":0.00011936451,"about_ca_system_score_gemma":0.0018167978,"threshold_uncertainty_score":0.9983881},"labels":[],"label_agreement":null},{"id":"W1981309846","doi":"10.1186/s12889-015-1786-2","title":"Built environment interventions aimed at improving physical activity levels in rural Ontario health units: a descriptive qualitative study","year":2015,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Hamilton Health Sciences; McMaster University","funders":"","keywords":"Public health; Psychological intervention; Medicine; Health promotion; Biostatistics; Qualitative research; Built environment; Environmental health; Mandate; Population health; Community health; Health policy; Rural health; Gerontology; Nursing; Rural area; Sociology; Political science","score_opus":0.35610739806636105,"score_gpt":0.4490126993454842,"score_spread":0.09290530127912316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981309846","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99120796,0.000093721486,0.0020729431,0.0043656807,0.00019431194,0.0016268237,0.000060377086,0.00007198826,0.00030617407],"genre_scores_gemma":[0.9980721,0.000001997177,0.0002613435,0.00014901262,0.00008933806,0.00012507841,0.000025376445,0.00001364567,0.0012621252],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99388635,0.003447206,0.00055166933,0.00047907975,0.0007296697,0.0009060257],"domain_scores_gemma":[0.9980702,0.0001929735,0.00041083686,0.0003152485,0.000106866486,0.0009039026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007961574,0.0002026789,0.0005181875,0.00014970485,0.0006413668,0.00010863356,0.0003539126,0.00006510297,0.0001017149],"category_scores_gemma":[0.00035911964,0.00019236458,0.000117666525,0.0006097005,0.00028497932,0.0009549607,0.0001303698,0.00042591742,0.000022769838],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.000032216136,0.0020695168,0.35494658,0.000038821883,0.000013518244,0.0000010631202,0.6369535,0.0000016425282,0.0000012349037,0.00023462424,0.00012979034,0.005577478],"study_design_scores_gemma":[0.0009422244,0.00045838213,0.64268464,0.000028148694,0.000004134901,9.004117e-8,0.35455912,0.000027844191,0.0000011556011,0.00030946426,0.00084319094,0.00014161828],"about_ca_topic_score_codex":0.81008095,"about_ca_topic_score_gemma":0.9673254,"teacher_disagreement_score":0.28773803,"about_ca_system_score_codex":0.011426215,"about_ca_system_score_gemma":0.010995868,"threshold_uncertainty_score":0.99461085},"labels":[],"label_agreement":null},{"id":"W1981319979","doi":"10.1007/s10109-011-0150-z","title":"Industrial agglomeration and transport accessibility in metropolitan Seoul","year":2011,"lang":"en","type":"article","venue":"Journal of Geographical Systems","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":88,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Metropolitan area; Economies of agglomeration; Economic geography; Tertiary sector of the economy; Central city; Urban agglomeration; Geography; Regional science; Service (business); Secondary sector of the economy; Business; Transport engineering; Economy; Economic growth; Economics; Engineering","score_opus":0.06007974041468731,"score_gpt":0.30076905390573166,"score_spread":0.24068931349104436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981319979","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946106,0.00073500647,0.000119147684,0.00015544643,0.0006629722,0.00022636831,0.000004787555,0.0000136238195,0.0034720113],"genre_scores_gemma":[0.9993683,0.00009358256,0.000056564277,0.000015413927,0.00042820376,0.0000030962403,0.0000010505183,0.0000054208776,0.000028350794],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977638,0.00034363422,0.00090471806,0.00018448003,0.0005313337,0.0002720217],"domain_scores_gemma":[0.99898815,0.00007541453,0.0003779645,0.00011725061,0.00018027007,0.00026097766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030608654,0.0001109278,0.00038817647,0.00028796526,0.00015428082,0.00005870123,0.00025873582,0.0002540769,0.00007964672],"category_scores_gemma":[0.00011581917,0.00008704336,0.00014904434,0.0006518457,0.00036716188,0.0006739006,0.0000076037827,0.00042767025,5.73123e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012168357,0.00014909262,0.9951272,0.000017396405,0.000021804994,0.00002335007,0.0018613541,3.2552e-7,0.000022583366,0.001944599,0.000013121665,0.0006974955],"study_design_scores_gemma":[0.0007234794,0.000117547956,0.9928524,0.00006825477,0.000037828715,0.0000031918748,0.0030618585,0.000006335328,0.00002019256,0.002162982,0.00083673955,0.00010917488],"about_ca_topic_score_codex":0.013168545,"about_ca_topic_score_gemma":0.00537831,"teacher_disagreement_score":0.007790236,"about_ca_system_score_codex":0.000105439525,"about_ca_system_score_gemma":0.00015270505,"threshold_uncertainty_score":0.99340284},"labels":[],"label_agreement":null},{"id":"W1981498889","doi":"10.1080/15568318.2011.631098","title":"Build It. But Where? The Use of Geographic Information Systems in Identifying Locations for New Cycling Infrastructure","year":2012,"lang":"en","type":"article","venue":"International Journal of Sustainable Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":135,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Concordia University; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cycling; Transport engineering; Sustainable transport; Climate change; Geographic information system; Order (exchange); Traffic congestion; Environmental planning; Business; Environmental resource management; Computer science; Environmental science; Sustainability; Engineering; Geography","score_opus":0.02854776611764703,"score_gpt":0.313746609657561,"score_spread":0.285198843539914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981498889","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9325371,0.00043157136,0.06424002,0.001321589,0.0009108933,0.0004626642,0.000024775962,0.000008858436,0.00006255844],"genre_scores_gemma":[0.9983522,0.00017180778,0.0008569698,0.00005641045,0.0003434066,0.000011005327,0.00004189698,0.000005888018,0.0001604148],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981694,0.00005435392,0.0008731859,0.000060350598,0.0006058477,0.00023686537],"domain_scores_gemma":[0.9974811,0.00019089968,0.0007525689,0.00007385144,0.0014211576,0.000080397454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010813059,0.00008587604,0.00015522198,0.00038068605,0.00015260332,0.00016739595,0.00033820205,0.00008692804,0.000025484027],"category_scores_gemma":[0.00018892252,0.0000706366,0.00012846579,0.00029683573,0.00008759369,0.0052721966,0.0000030452093,0.00016835287,3.715933e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014342072,0.00005924681,0.9270185,0.00011594508,0.0000761768,0.000002804565,0.0231757,0.018751258,0.00006676484,0.028711203,0.00035516638,0.0015238136],"study_design_scores_gemma":[0.00081213354,0.000021715025,0.8901992,0.00017327098,0.00007924674,0.0000016943475,0.047925662,0.00021256407,0.00008414649,0.0027367834,0.057641637,0.00011197207],"about_ca_topic_score_codex":0.011630418,"about_ca_topic_score_gemma":0.0025067036,"teacher_disagreement_score":0.065815136,"about_ca_system_score_codex":0.00017148428,"about_ca_system_score_gemma":0.00038439827,"threshold_uncertainty_score":0.99495125},"labels":[],"label_agreement":null},{"id":"W1981553231","doi":"10.1016/j.healthplace.2013.07.007","title":"Contextual determinants of cardiovascular diseases: Overcoming the residential trap by accounting for non-residential context and duration of exposure","year":2013,"lang":"en","type":"article","venue":"Health & Place","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Michael's Hospital","funders":"","keywords":"Neighbourhood (mathematics); Duration (music); Multilevel model; Environmental health; Logistic regression; Recreation; Context (archaeology); Geography; Demography; Medicine; Gerontology; Psychology; Statistics; Mathematics; Sociology","score_opus":0.016987731295749046,"score_gpt":0.30113860906379913,"score_spread":0.2841508777680501,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981553231","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99367017,0.0037130022,0.00069900014,0.00040917794,0.00018781818,0.0012065885,0.000075314965,0.00001169839,0.00002720515],"genre_scores_gemma":[0.9994124,0.00013469384,0.00004742152,0.00008843634,0.00016040212,0.000050926217,0.0000101033875,0.000008522794,0.000087101056],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984131,0.000182284,0.00053803285,0.00021826616,0.00037497925,0.00027337964],"domain_scores_gemma":[0.9988857,0.0003265429,0.00034739592,0.00018357577,0.00016057648,0.0000962392],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012008345,0.00009680252,0.00036398965,0.000028060316,0.0005032434,0.00006446471,0.00017928389,0.00007501405,0.000034440218],"category_scores_gemma":[0.00019566959,0.00007824035,0.00015730577,0.00009334934,0.0002697673,0.0004921413,0.000016853432,0.000073362855,7.7260984e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045826062,0.00019339766,0.8875873,0.0015544812,0.00020939282,0.000001806625,0.03922631,0.000017075057,0.0011945219,0.0002267283,0.013043071,0.05628762],"study_design_scores_gemma":[0.0029032554,0.00024088525,0.964632,0.00029464992,0.00023248667,6.937542e-7,0.024029003,0.00048853544,0.0019372306,0.00035706305,0.0045953696,0.00028883186],"about_ca_topic_score_codex":0.04510211,"about_ca_topic_score_gemma":0.013197554,"teacher_disagreement_score":0.07704466,"about_ca_system_score_codex":0.000042865428,"about_ca_system_score_gemma":0.00034174384,"threshold_uncertainty_score":0.9612566},"labels":[],"label_agreement":null},{"id":"W1982167337","doi":"10.1016/j.envint.2011.02.003","title":"Improving health through policies that promote active travel: A review of evidence to support integrated health impact assessment","year":2011,"lang":"en","type":"review","venue":"Environment International","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":615,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Economic and Social Research Council; Coca-Cola Foundation","keywords":"Health impact assessment; Environmental planning; Health benefits; Business; Environmental health; Public health; Medicine; Environmental science; Nursing","score_opus":0.25478744100347667,"score_gpt":0.4932762230317331,"score_spread":0.2384887820282564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1982167337","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00003084088,0.9899926,0.0019894433,0.0022575548,0.0003980157,0.0029922165,0.00080769067,0.000035051668,0.0014965959],"genre_scores_gemma":[0.00043118786,0.99537426,0.0017698715,0.0008015418,0.00016101926,0.00017881315,0.000559802,0.000035335226,0.0006881589],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99588203,0.00059681985,0.001233054,0.0006592927,0.0010948494,0.000533928],"domain_scores_gemma":[0.99734145,0.00013156437,0.0017476197,0.0004237407,0.000056059598,0.00029958304],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0023128337,0.00044076948,0.0016117112,0.00014768023,0.00020339455,0.00004748777,0.0010690419,0.00013998243,0.004236558],"category_scores_gemma":[0.00011468201,0.0003094242,0.0006483563,0.00024979928,0.0002277019,0.0005556014,0.0001353345,0.00046383886,0.000050658116],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000085053025,0.00024696617,0.0004839171,0.012623297,0.0001882604,0.0000017162472,0.0047274185,2.1466556e-7,3.1620507e-7,0.00030478506,0.0013301908,0.9800844],"study_design_scores_gemma":[0.000073292635,0.0003491773,0.0027539777,0.05735227,0.000108058186,0.0000016198991,0.000277459,7.043708e-7,0.0000025532847,0.000062046354,0.9387172,0.0003016608],"about_ca_topic_score_codex":0.019624464,"about_ca_topic_score_gemma":0.00050353707,"teacher_disagreement_score":0.97978276,"about_ca_system_score_codex":0.003459961,"about_ca_system_score_gemma":0.0035104093,"threshold_uncertainty_score":0.9999358},"labels":[],"label_agreement":null},{"id":"W1982421949","doi":"10.1016/j.ypmed.2011.02.020","title":"Neighborhood environment profiles related to physical activity and weight status: A latent profile analysis","year":2011,"lang":"en","type":"article","venue":"Preventive Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":93,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Heart, Lung, and Blood Institute","keywords":"Medicine; Physical activity; Environmental health; Physical therapy","score_opus":0.024058660168779514,"score_gpt":0.29426707771475924,"score_spread":0.27020841754597974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1982421949","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98654795,0.00016338105,0.00076125126,0.00078935747,0.00007122135,0.00071581214,0.000021182032,0.000052932497,0.010876935],"genre_scores_gemma":[0.997391,0.00006928161,0.00022773564,0.000033505145,0.0000855861,0.00007134544,0.00001763864,0.000008661588,0.0020952814],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99837685,0.00022177231,0.00018858603,0.00044795155,0.0004070097,0.00035785008],"domain_scores_gemma":[0.99927026,0.000059584025,0.00011321278,0.00021016058,0.000040675826,0.0003061055],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005004188,0.00015622943,0.00036963084,0.00012314937,0.00020437806,0.000009299337,0.00014388221,0.000059422287,0.0023677552],"category_scores_gemma":[0.00006177587,0.000114994844,0.000096898184,0.0005834241,0.0004538472,0.00019976271,0.000051510382,0.00014961198,0.000032051263],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007574834,0.00057317084,0.93469644,0.00001755746,0.00039769505,0.000007310345,0.051201068,5.2727773e-7,0.0006784294,0.0010189137,0.000098967284,0.011234199],"study_design_scores_gemma":[0.0003775855,0.00016762616,0.9930155,0.000024717132,0.0006523881,5.9837205e-8,0.00088380754,0.00008124738,0.0009386261,0.0030809685,0.0006270149,0.00015044968],"about_ca_topic_score_codex":0.0021768748,"about_ca_topic_score_gemma":0.00031703146,"teacher_disagreement_score":0.058319096,"about_ca_system_score_codex":0.00007872614,"about_ca_system_score_gemma":0.000040716397,"threshold_uncertainty_score":0.9985442},"labels":[],"label_agreement":null},{"id":"W1982489238","doi":"10.1016/j.amepre.2006.11.006","title":"Neighborhood-Level Active Living Buoys for Individuals with Physical Disabilities","year":2007,"lang":"en","type":"article","venue":"American Journal of Preventive Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Active living; Census; Context (archaeology); Destinations; Gerontology; Geography; Population; Physical activity; Environmental health; Psychology; Medicine; Tourism; Physical medicine and rehabilitation","score_opus":0.02779568617577522,"score_gpt":0.3524152648349267,"score_spread":0.3246195786591515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1982489238","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95558697,0.00007850364,0.038706403,0.0014556145,0.0001694876,0.00028381887,0.000017881921,0.000012834486,0.0036884935],"genre_scores_gemma":[0.9961933,0.000011565327,0.0016806072,0.00013762031,0.001453639,0.000005106509,0.0000020037683,0.00001334408,0.0005027992],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99818516,0.0001806264,0.00042541957,0.00018002412,0.00065787975,0.00037091394],"domain_scores_gemma":[0.99620384,0.0023174486,0.00070950657,0.00011178677,0.00042258453,0.00023482487],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024369413,0.00014768467,0.00053763756,0.00011588446,0.00022308108,0.00001519277,0.00030932747,0.000025764206,0.00012993024],"category_scores_gemma":[0.0010906309,0.00009567414,0.00014559853,0.00043423005,0.0024313936,0.0003839167,0.000014631797,0.00023083712,8.4070547e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034160473,0.000375005,0.77390856,0.000021671116,0.00026608043,0.000006581953,0.10546725,0.000001403337,0.00013416601,0.0015507387,0.00022945076,0.11769749],"study_design_scores_gemma":[0.0009714696,0.0028418677,0.80468166,0.0004130789,0.00030832528,0.0000040932828,0.18182568,0.0000019632762,0.00027880844,0.00550374,0.0029631308,0.00020617679],"about_ca_topic_score_codex":0.0004818709,"about_ca_topic_score_gemma":0.00053385744,"teacher_disagreement_score":0.11749131,"about_ca_system_score_codex":0.0001220939,"about_ca_system_score_gemma":0.00021746132,"threshold_uncertainty_score":0.89585704},"labels":[],"label_agreement":null},{"id":"W1982982239","doi":"10.1186/1479-5868-8-39","title":"GIS measured environmental correlates of active school transport: A systematic review of 14 studies","year":2011,"lang":"en","type":"review","venue":"International Journal of Behavioral Nutrition and Physical Activity","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":261,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research; Heart and Stroke Foundation of Canada","keywords":"Geocoding; Context (archaeology); Geographic information system; Transport engineering; Pedestrian; Intersection (aeronautics); Geography; Travel behavior; Applied psychology; Computer science; Psychology; Cartography; Engineering","score_opus":0.09883147874543531,"score_gpt":0.40409585818346716,"score_spread":0.30526437943803186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1982982239","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06601904,0.9325039,0.0000072751213,0.00002980146,0.0002746541,0.00075372146,0.00037317423,0.000005239662,0.000033224384],"genre_scores_gemma":[0.34785807,0.6519623,0.000013276375,0.0000036284073,0.000107027634,0.000019658215,0.00001433222,0.000007136722,0.000014613808],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.99761176,0.00039338277,0.0008900229,0.00017516484,0.00081618637,0.000113453905],"domain_scores_gemma":[0.9970101,0.00018839743,0.0021422692,0.000107496424,0.0004285245,0.00012321462],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005130867,0.00022689962,0.002165886,0.00013148798,0.00005521439,0.000010355595,0.00037935423,0.00013009112,0.00007481241],"category_scores_gemma":[0.00007870515,0.00016951152,0.00094912114,0.00012558095,0.0004489869,0.0004916627,0.000022137869,0.00040501906,0.0000015831712],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002773048,0.010793774,0.0013968349,0.78987354,0.0020190303,0.000046456415,0.004430114,3.2738843e-8,0.000066993205,0.00017286677,0.00005650774,0.19086656],"study_design_scores_gemma":[0.00092773256,0.0003855219,0.0027568599,0.9784537,0.00969683,0.000021119344,0.0010312701,3.568237e-7,0.00016791633,0.00075868575,0.0053623943,0.0004375987],"about_ca_topic_score_codex":0.000101004065,"about_ca_topic_score_gemma":0.00002438232,"teacher_disagreement_score":0.28183904,"about_ca_system_score_codex":0.00019225996,"about_ca_system_score_gemma":0.00015381008,"threshold_uncertainty_score":0.6912479},"labels":[],"label_agreement":null},{"id":"W1983283205","doi":"10.1016/j.ypmed.2014.01.030","title":"Public open spaces and walking for recreation: Moderation by attributes of pedestrian environments","year":2014,"lang":"en","type":"article","venue":"Preventive Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":35,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Douglas Mental Health University Institute","funders":"National Medical Research Council; National Health and Medical Research Council; University of South Australia","keywords":"Recreation; Pedestrian; Moderation; Level design; Medicine; Environmental health; Transport engineering; Psychology; Computer science; Social psychology; Multimedia","score_opus":0.08253628240847909,"score_gpt":0.34124444630326917,"score_spread":0.25870816389479007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983283205","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8910577,0.0010757728,0.087486565,0.010828612,0.00014448265,0.0014041105,0.000026759775,0.0000169991,0.007958956],"genre_scores_gemma":[0.99747795,0.00009793411,0.0005485048,0.00003653827,0.00012022969,0.000035516237,0.00008622853,0.000003722806,0.0015933926],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99921846,0.00013371541,0.0001807589,0.00017158005,0.00016850303,0.00012697339],"domain_scores_gemma":[0.9994944,0.000180956,0.00013817374,0.000078221216,0.000039289895,0.00006895692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014973654,0.00005901748,0.00016916567,0.00002409756,0.00023276954,0.00003878263,0.00015148592,0.000037084286,0.00014408615],"category_scores_gemma":[0.00039161567,0.00004803098,0.000017691473,0.00007188538,0.00024771085,0.00037845955,0.000023173408,0.000031078736,3.8043717e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007967988,0.00019468294,0.8731579,0.00010225188,0.000064885804,1.3319412e-7,0.011733102,5.9204336e-7,0.004334858,0.009535171,0.0031120793,0.09768464],"study_design_scores_gemma":[0.0059054005,0.0008287615,0.6089282,0.00039877414,0.00027979285,1.5837217e-7,0.0058893147,0.00068600994,0.008258508,0.12684546,0.24153545,0.00044417527],"about_ca_topic_score_codex":0.00090009184,"about_ca_topic_score_gemma":0.0010521866,"teacher_disagreement_score":0.26422974,"about_ca_system_score_codex":0.000024032519,"about_ca_system_score_gemma":0.000025304582,"threshold_uncertainty_score":0.19586465},"labels":[],"label_agreement":null},{"id":"W1983533182","doi":"10.1016/j.tra.2013.01.044","title":"Does distance matter? Exploring the links among values, motivations, home location, and satisfaction in walking trips","year":2013,"lang":"en","type":"article","venue":"Transportation Research Part A Policy and Practice","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":99,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"TRIPS architecture; Perception; Travel survey; Travel behavior; Psychology; Scale (ratio); Mode (computer interface); Social psychology; Geography; Transport engineering; Engineering; Computer science","score_opus":0.09115895136823692,"score_gpt":0.3997692689618589,"score_spread":0.30861031759362195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983533182","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97381705,0.0001685019,0.0004793385,0.023581512,0.00008583577,0.00071967643,0.000010408622,0.00003303275,0.0011046337],"genre_scores_gemma":[0.99726987,0.0012325243,0.00012464655,0.00021410192,0.00023111406,0.00032552195,0.000017139513,0.000009577476,0.0005754966],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99764895,0.00084185717,0.0003393351,0.00029094407,0.0005179436,0.00036098176],"domain_scores_gemma":[0.9969306,0.00233312,0.00010856121,0.00016323186,0.0003376814,0.0001267945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031238776,0.000098078206,0.00012059938,0.00017739325,0.0010306877,0.00030970856,0.00011821269,0.000096579075,0.00014547967],"category_scores_gemma":[0.0009929786,0.00006605248,0.00001880487,0.0009640538,0.0005725441,0.0033771133,0.000005035523,0.00056606915,0.000013902688],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044742705,0.000035164438,0.94886976,0.000062546256,0.000010127346,0.000002145671,0.033103865,0.000011120517,0.000018673827,0.00877326,0.00019850911,0.008870067],"study_design_scores_gemma":[0.0001942739,0.000010616357,0.9700841,0.000060314695,0.000009921985,1.4328889e-7,0.012378555,0.000027799615,0.000015799167,0.008689784,0.008435512,0.00009322929],"about_ca_topic_score_codex":0.110337764,"about_ca_topic_score_gemma":0.059345055,"teacher_disagreement_score":0.05099271,"about_ca_system_score_codex":0.00007433336,"about_ca_system_score_gemma":0.00016373524,"threshold_uncertainty_score":0.95781946},"labels":[],"label_agreement":null},{"id":"W1983573478","doi":"10.1061/(asce)0733-9488(2007)133:4(242)","title":"Impact of Transit-Pass Ownership on Daily Number of Trips Made by Urban Public Transit","year":2007,"lang":"en","type":"article","venue":"Journal of Urban Planning and Development","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"University of Toronto","keywords":"Transit (satellite); TRIPS architecture; Probit; Socioeconomic status; Probit model; Ordered probit; Residence; Variables; Business; Car ownership; Negative binomial distribution; Transport engineering; Public transport; Variable (mathematics); Geography; Econometrics; Demographic economics; Statistics; Mathematics; Economics; Demography; Engineering; Poisson distribution; Sociology","score_opus":0.04311636997833683,"score_gpt":0.32963938111108754,"score_spread":0.2865230111327507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983573478","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99355286,0.00074227585,0.0017650553,0.00024267688,0.00014445395,0.00009502201,0.00001297907,0.000011891231,0.0034327523],"genre_scores_gemma":[0.9985358,0.000018641955,0.00085432606,0.000044211432,0.000112157984,5.484828e-7,0.000007378051,0.000010882892,0.000416024],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976653,0.00008831447,0.00094419986,0.00017152984,0.000732149,0.00039854684],"domain_scores_gemma":[0.9986139,0.00018479231,0.00056439283,0.00009501466,0.00020938367,0.00033253833],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002308558,0.00017949716,0.0004733818,0.00019136794,0.00018614653,0.00004426664,0.00025817804,0.0001512278,0.000116857904],"category_scores_gemma":[0.00005766027,0.00013358466,0.00017947934,0.00030573347,0.00018959555,0.0002942101,0.0000053381386,0.00030504138,0.0000012342605],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048123527,0.00027185588,0.9607038,0.000039091305,0.00016356469,0.000026544913,0.02743189,0.0000069320095,0.00081492134,0.000058459413,0.0061387233,0.0038629929],"study_design_scores_gemma":[0.0012905396,0.00024186372,0.9815943,0.00020306691,0.00004184532,0.000007124685,0.0023957323,0.000001652205,0.0022360713,0.00007705276,0.011696584,0.00021416997],"about_ca_topic_score_codex":0.00014603611,"about_ca_topic_score_gemma":0.00004843426,"teacher_disagreement_score":0.025036158,"about_ca_system_score_codex":0.00014600957,"about_ca_system_score_gemma":0.0006328616,"threshold_uncertainty_score":0.54474247},"labels":[],"label_agreement":null},{"id":"W1983607745","doi":"10.1111/j.0008-3658.2004.00061.x","title":"Spatial accessibility and equity of playgrounds in Edmonton, Canada","year":2004,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":238,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Amenity; Equity (law); Geography; Neighbourhood (mathematics); Quality (philosophy); Social equality; Spatial analysis; Business; Environmental planning; Political science; Finance","score_opus":0.012257835550797071,"score_gpt":0.2437022288172112,"score_spread":0.23144439326641414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983607745","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98875135,0.0016065299,0.0000039078823,0.0015088937,0.00047763932,0.00043253685,0.00024141865,0.00003602748,0.0069416966],"genre_scores_gemma":[0.99897593,0.0005063622,0.000054906493,0.00024282161,0.000092731054,0.000029573313,0.000033945056,0.000018929106,0.00004481551],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969215,0.00010161838,0.00061096123,0.000614012,0.0004620272,0.0012899084],"domain_scores_gemma":[0.9978049,0.00011156334,0.00017149387,0.00043355158,0.00020852465,0.0012700104],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.00073197944,0.00030848847,0.0005023146,0.0015195262,0.0007213769,0.000103065955,0.0006766149,0.00021923296,0.00008917097],"category_scores_gemma":[0.00019243904,0.00033651316,0.00013557078,0.0037292272,0.002799971,0.00050027145,0.00005643061,0.0002716338,2.5666546e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021686003,0.000029038529,0.98413324,0.00006234064,0.000032714524,0.000068794085,0.003087817,0.0000083218965,0.000009054751,0.0070207766,0.00016645956,0.0053597703],"study_design_scores_gemma":[0.00049150793,0.000039743998,0.9747683,0.000059475853,0.00002598833,0.0000012419999,0.00906716,0.0000011487582,0.000028025814,0.009735198,0.005406384,0.00037584105],"about_ca_topic_score_codex":0.99996287,"about_ca_topic_score_gemma":0.9999999,"teacher_disagreement_score":0.010224566,"about_ca_system_score_codex":0.00063731725,"about_ca_system_score_gemma":0.004267004,"threshold_uncertainty_score":0.9999138},"labels":[],"label_agreement":null},{"id":"W1984061275","doi":"10.1371/journal.pone.0110042","title":"A Novel Method to Evaluate the Community Built Environment Using Photographs – Environmental Profile of a Community Health (EPOCH) Photo Neighbourhood Evaluation Tool","year":2014,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut universitaire de cardiologie et de pneumologie de Québec; Providence Health Care; Simon Fraser University; Hamilton Health Sciences; Université Laval; Population Health Research Institute; McMaster University","funders":"Medical Research Council; National Institute for Health and Care Research; National Health and Medical Research Council; Heart and Stroke Foundation of Canada","keywords":"Comparability; Neighbourhood (mathematics); Computer science; Reliability (semiconductor); Built environment; Data collection; Protocol (science); Set (abstract data type); Audit; Geography; Data science; Medicine; Statistics; Mathematics; Engineering; Business; Accounting; Pathology","score_opus":0.15510264876256105,"score_gpt":0.36124480524259533,"score_spread":0.20614215648003428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984061275","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9861323,0.000076404125,0.009556816,0.00040356745,0.000030042436,0.0023247204,0.0001177617,0.000034487788,0.0013238807],"genre_scores_gemma":[0.9756044,0.000014125319,0.023535343,0.0005414795,0.000051862695,0.00014778112,0.00005617196,0.000019985438,0.0000288495],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.991437,0.0059098443,0.00053888076,0.00020962456,0.0014948227,0.00040979806],"domain_scores_gemma":[0.99798596,0.00052735733,0.0002873592,0.000968637,0.000059953327,0.00017070935],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.016741397,0.00019504021,0.0004321101,0.000076393626,0.0020500072,0.0000490907,0.0007511275,0.00009164937,0.0010894738],"category_scores_gemma":[0.00026721988,0.00016470393,0.00012750903,0.00027858617,0.00038769434,0.00019699891,0.00017018155,0.00062399387,0.000014470897],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022367353,0.018991148,0.15062034,0.00026940898,0.000491675,1.2916837e-7,0.12929538,0.00026955118,0.67297417,0.00022973566,0.000037632377,0.026597135],"study_design_scores_gemma":[0.002774793,0.0010745137,0.8614799,0.00034172987,0.0010474238,7.299636e-7,0.0249909,0.015783172,0.08566198,0.005860073,0.00022558568,0.0007592189],"about_ca_topic_score_codex":0.074035875,"about_ca_topic_score_gemma":0.007889988,"teacher_disagreement_score":0.71085954,"about_ca_system_score_codex":0.00040196432,"about_ca_system_score_gemma":0.00019795305,"threshold_uncertainty_score":0.9998237},"labels":[],"label_agreement":null},{"id":"W1984072971","doi":"10.2105/ajph.2004.060954","title":"Body Mass Index in Urban Canada: Neighborhood and Metropolitan Area Effects","year":2007,"lang":"en","type":"article","venue":"American Journal of Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":122,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Body mass index; Demography; Urban sprawl; Multilevel model; Geography; Gerontology; Immigration; Medicine; Behavioral Risk Factor Surveillance System; Environmental health; Population; Urban planning; Sociology","score_opus":0.017857032472991703,"score_gpt":0.30823957850358824,"score_spread":0.29038254603059654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984072971","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98161626,0.0006310419,0.0028759602,0.011440599,0.0002614194,0.00013072992,0.0000035280932,0.000009503621,0.003030985],"genre_scores_gemma":[0.9980589,0.00007811409,0.00022724978,0.0013523718,0.00024114887,6.757436e-7,9.1814866e-7,0.000008357971,0.000032225103],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99743485,0.0004202256,0.00061434397,0.00015731531,0.0006123389,0.0007609343],"domain_scores_gemma":[0.99777436,0.00035099284,0.0005890474,0.00011281362,0.00014646347,0.0010263495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005383932,0.00011048707,0.00044207944,0.0002672776,0.000198256,0.000054187567,0.0002670768,0.00003573665,0.000026988848],"category_scores_gemma":[0.00039807762,0.00009576395,0.00004770671,0.0009845797,0.0004168841,0.00034868802,0.000009979396,0.00037073094,1.8876443e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012917183,0.00005284436,0.96329415,0.0000132912455,0.00001481186,0.000044639593,0.0015792802,1.16591124e-7,0.0000031021943,0.0015095185,0.00038273737,0.033092584],"study_design_scores_gemma":[0.00036102106,0.00024546834,0.97679293,0.000023405351,0.0000038045855,0.0000024580002,0.014155171,0.000005618,0.0000027659414,0.0003566472,0.007957234,0.000093447525],"about_ca_topic_score_codex":0.80382586,"about_ca_topic_score_gemma":0.8703697,"teacher_disagreement_score":0.06654382,"about_ca_system_score_codex":0.0018396741,"about_ca_system_score_gemma":0.0062528574,"threshold_uncertainty_score":0.99938077},"labels":[],"label_agreement":null},{"id":"W1984260361","doi":"10.1016/j.healthplace.2013.01.005","title":"Conceptualization and measurement of environmental exposure in epidemiology: Accounting for activity space related to daily mobility","year":2013,"lang":"en","type":"article","venue":"Health & Place","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":371,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"National Institute for Health and Care Research","keywords":"Conceptualization; Space (punctuation); Representation (politics); Health geography; Work (physics); Affect (linguistics); Sociology; Data science; Public health; Geography; Psychology; Computer science; Medicine; Health policy; Political science; Engineering; Artificial intelligence","score_opus":0.05118526406470767,"score_gpt":0.34024284461710474,"score_spread":0.28905758055239705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984260361","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99375707,0.00049046957,0.0005970039,0.0035037717,0.000075325064,0.0014471046,0.000016830461,0.000018338638,0.000094064526],"genre_scores_gemma":[0.99890935,0.00004030538,0.00068648596,0.0002174634,0.000017574102,0.00006882483,0.000004455848,0.000004869338,0.000050683186],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99846387,0.00039739194,0.00037162667,0.0002752176,0.00018462028,0.00030725583],"domain_scores_gemma":[0.9991262,0.000378187,0.00020728068,0.00011875468,0.000038820555,0.00013074743],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046327156,0.000077716715,0.00025863855,0.000032427968,0.00018250995,0.000007526371,0.00007833696,0.00009664768,0.00008035272],"category_scores_gemma":[0.00064522086,0.00007672873,0.000026195547,0.0001228721,0.00016054933,0.00024878312,0.000015120241,0.00009046502,0.0000026247349],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004260102,0.00010217318,0.9840473,0.000080175356,0.0000035044761,4.468367e-8,0.008367497,0.00004134586,0.000518538,0.00019697283,0.00022719272,0.0063726753],"study_design_scores_gemma":[0.00031646274,0.00007552166,0.99579287,0.00003704596,0.0000027234864,3.2302083e-8,0.0023094036,0.00014781638,0.000058569618,0.0006123365,0.00057880854,0.000068396395],"about_ca_topic_score_codex":0.007971064,"about_ca_topic_score_gemma":0.006920243,"teacher_disagreement_score":0.011745603,"about_ca_system_score_codex":0.00031478427,"about_ca_system_score_gemma":0.00016652246,"threshold_uncertainty_score":0.99863493},"labels":[],"label_agreement":null},{"id":"W1984278773","doi":"10.1155/2012/912645","title":"Local Context Influence, Activity Space, and Foodscape Exposure in Two Canadian Metropolitan Settings: Is Daily Mobility Exposure Associated with Overweight?","year":2011,"lang":"en","type":"article","venue":"Journal of Obesity","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval; Institut National de Santé Publique du Québec; Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Overweight; Socioeconomic status; Metropolitan area; Context (archaeology); Environmental health; Obesity; Medicine; Gerontology; Demography; Geography; Population; Sociology","score_opus":0.014084851049773188,"score_gpt":0.2557676303185939,"score_spread":0.2416827792688207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984278773","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940427,0.00027581456,0.00004125285,0.0003197436,0.000096158685,0.00022315851,0.00003739883,0.0000151901295,0.004948567],"genre_scores_gemma":[0.99946666,0.000019262008,0.000131496,0.00022431006,0.000057366382,0.0000019322606,9.606451e-7,0.000010649998,0.00008739192],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997775,0.00037594905,0.0004611383,0.0002905688,0.00056050485,0.0005368333],"domain_scores_gemma":[0.9981302,0.00013398295,0.00049745425,0.00020841822,0.0004441031,0.0005858674],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021548124,0.00020554438,0.0005087323,0.00020982951,0.00037967748,0.000075039774,0.00033795144,0.00017840194,0.000239464],"category_scores_gemma":[0.00026203715,0.00016823017,0.00011324618,0.0005556164,0.00062879827,0.0011589983,0.000022635473,0.00061330793,0.0000016225248],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001643287,0.00038763983,0.98803985,0.000013840067,0.000060986797,0.00009708636,0.010023074,0.000001087106,0.00001931215,0.00034054395,0.00011565247,0.0007365734],"study_design_scores_gemma":[0.0010491945,0.00040928888,0.9892311,0.00009226019,0.00005679364,0.0000033339052,0.006809837,0.0000055674504,0.0003937647,0.0014347883,0.0003167616,0.00019727579],"about_ca_topic_score_codex":0.36081415,"about_ca_topic_score_gemma":0.8692083,"teacher_disagreement_score":0.5083941,"about_ca_system_score_codex":0.00092419237,"about_ca_system_score_gemma":0.001057466,"threshold_uncertainty_score":0.6860227},"labels":[],"label_agreement":null},{"id":"W1984287129","doi":"10.1016/j.healthplace.2011.08.017","title":"Understanding the determinants of active transportation to school among children: Evidence of environmental injustice from the Quebec longitudinal study of child development","year":2011,"lang":"en","type":"article","venue":"Health & Place","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":57,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Gouvernement du Québec; Centre Hospitalier Universitaire Sainte-Justine; Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Injustice; Poverty; Psychological intervention; Environmental health; Longitudinal study; Public health; Psychology; Poison control; Injury prevention; Suicide prevention; Neighbourhood (mathematics); Developmental psychology; Medicine; Economic growth; Social psychology; Economics","score_opus":0.11834553600269694,"score_gpt":0.33656726776268153,"score_spread":0.2182217317599846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984287129","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980794,0.00015082968,0.00036215142,0.0001510618,0.00006232884,0.0011019263,0.000041261796,0.0000068215377,0.000044197215],"genre_scores_gemma":[0.99973845,0.000030482266,0.00010922214,0.000057594712,0.000026929269,0.000015583995,0.000003563946,0.0000053948743,0.000012785372],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983825,0.00022230158,0.0005078312,0.00022058623,0.00046885555,0.00019789215],"domain_scores_gemma":[0.99897945,0.0002607529,0.00043852886,0.00019976018,0.000022287104,0.00009921719],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000889837,0.000098526914,0.00022095007,0.000028999884,0.00045630118,0.0000069903017,0.00034840943,0.0000395883,0.00012290267],"category_scores_gemma":[0.0000543463,0.00006648157,0.00003638299,0.00019187207,0.0002651327,0.00025672416,0.000014067836,0.0001381152,0.0000012905878],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019111941,0.00021713895,0.82650477,0.000021215508,0.00002080815,3.8807246e-7,0.17232028,0.000005869726,0.0000042460674,0.000013162503,0.000009025552,0.0006919868],"study_design_scores_gemma":[0.00019579162,0.00013776198,0.92516094,0.00023490196,0.000039630544,3.4284206e-8,0.073839806,0.0000017087217,0.00030780552,0.000020000763,0.000002871011,0.000058722057],"about_ca_topic_score_codex":0.15146889,"about_ca_topic_score_gemma":0.61544776,"teacher_disagreement_score":0.46397886,"about_ca_system_score_codex":0.00025841803,"about_ca_system_score_gemma":0.00036517088,"threshold_uncertainty_score":0.8541815},"labels":[],"label_agreement":null},{"id":"W1984333875","doi":"10.1061/40961(319)3","title":"Are Asian Cities Leading the Way to Sustainable Mobility?","year":2008,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Sustainability; Sustainable development; Order (exchange); Business; Traffic congestion; Environmental planning; Transport engineering; Environmental economics; Geography; Political science; Economics; Engineering; Finance","score_opus":0.03426315559110321,"score_gpt":0.2933226881381124,"score_spread":0.2590595325470092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984333875","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.729607,0.000039969178,0.00014580264,0.0054148454,0.00007061417,0.00024105217,0.0000010896969,0.0000922505,0.2643874],"genre_scores_gemma":[0.8722288,0.000004007853,0.000051878047,0.0005677764,0.0001361623,0.000017706125,5.0444925e-7,0.0000042234815,0.12698896],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989527,0.00006405813,0.00013163069,0.00019203615,0.0002601861,0.00039942138],"domain_scores_gemma":[0.999467,0.0000611486,0.000038929662,0.00021750151,0.000107291504,0.00010812044],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005706488,0.00007207102,0.00011109423,0.00003096681,0.0014885415,0.00007048068,0.00033636254,0.00004675682,0.0009703391],"category_scores_gemma":[0.0001548966,0.000047180423,0.00006170253,0.00035579887,0.00038625728,0.00031398764,0.000027518474,0.000089958536,0.00007094212],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008218276,0.000045426958,0.92812365,0.000014331906,0.0000056046897,0.00002374755,0.03684262,0.000005111757,0.0000053306408,0.023639588,0.010755697,0.000530658],"study_design_scores_gemma":[0.000062619474,0.000011625612,0.71924955,0.000005058894,0.00000478628,2.3539225e-7,0.14787753,0.0000016680713,0.00015485194,0.004498345,0.12801066,0.00012306917],"about_ca_topic_score_codex":0.0055060764,"about_ca_topic_score_gemma":0.015332064,"teacher_disagreement_score":0.20887412,"about_ca_system_score_codex":0.00009168879,"about_ca_system_score_gemma":0.00008062693,"threshold_uncertainty_score":0.9999429},"labels":[],"label_agreement":null},{"id":"W1984334748","doi":"10.7202/044885ar","title":"Mobilités urbaines et durabilité dans les villes sud-africaines","year":2010,"lang":"fr","type":"article","venue":"Environnement urbain","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Art","score_opus":0.019094806413467398,"score_gpt":0.2776885220058654,"score_spread":0.258593715592398,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984334748","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9214337,0.0061529106,0.000556244,0.03144907,0.0030433803,0.000916225,0.00017327876,0.00020794041,0.036067277],"genre_scores_gemma":[0.95097035,0.0003800702,0.0018866131,0.00038382216,0.0012861943,0.00012566002,0.0000748078,0.00006762753,0.044824846],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99509174,0.0006719953,0.000992151,0.0011884919,0.00090398954,0.0011516653],"domain_scores_gemma":[0.99741405,0.00064105954,0.00031170686,0.0010593963,0.00008746206,0.00048631587],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0024414128,0.00064987346,0.0005951504,0.000114610884,0.0010786161,0.00017390326,0.0010336656,0.0005785428,0.010245625],"category_scores_gemma":[0.00039120074,0.0006206847,0.0004649967,0.0006155875,0.0031407308,0.00074481365,0.00016387414,0.00094548974,0.00030011512],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036921167,0.0018072705,0.71660787,0.00017439452,0.00010099343,0.000029330586,0.023147987,0.000060668815,0.009167912,0.23202701,0.002374771,0.01446488],"study_design_scores_gemma":[0.0006905491,0.00013998241,0.24278985,0.000062488434,0.000149467,0.000001590424,0.0045419037,0.00018413966,0.0007945733,0.00966013,0.74016607,0.00081924384],"about_ca_topic_score_codex":0.008873143,"about_ca_topic_score_gemma":0.0607451,"teacher_disagreement_score":0.7377913,"about_ca_system_score_codex":0.00020646697,"about_ca_system_score_gemma":0.00021630373,"threshold_uncertainty_score":0.99962443},"labels":[],"label_agreement":null},{"id":"W1984593824","doi":"10.3141/2264-16","title":"Estimation of Frequency and Length of Pedestrian Stride in Urban Environments with Video Sensors","year":2011,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia; Carleton University; Polytechnique Montréal","funders":"Polytechnique Montréal","keywords":"STRIDE; Pedestrian; Computer science; Data set; Set (abstract data type); Simulation; Transport engineering; Engineering; Artificial intelligence; Computer security","score_opus":0.09613152304230406,"score_gpt":0.3695403489712465,"score_spread":0.27340882592894244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984593824","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976809,0.00017444171,0.0003775878,0.00037986969,0.00008233891,0.0008085932,0.000043593453,0.0000068243266,0.0004458254],"genre_scores_gemma":[0.99690384,0.00074103463,0.0021390582,0.0000041774492,0.000036147107,0.00001860405,0.000007362199,0.000021864278,0.00012794325],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9938644,0.0011019213,0.0013666955,0.00030624738,0.0027645426,0.0005961719],"domain_scores_gemma":[0.99739164,0.0005808281,0.0006430712,0.00030649206,0.0007975163,0.00028045976],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0052310973,0.00016757238,0.00044478234,0.0007923238,0.00030328237,0.00002800949,0.0006529511,0.00016480435,0.00023138548],"category_scores_gemma":[0.00017069904,0.0001263146,0.00015618908,0.0015718511,0.001783992,0.00086679094,0.0000033972426,0.0010383155,0.000001326157],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011105842,0.00031227095,0.9693585,0.00018467505,0.00005833217,0.00003540679,0.023188412,0.00016539516,0.0009315689,0.001367118,0.000035963356,0.003251778],"study_design_scores_gemma":[0.0013071259,0.0005356853,0.98329866,0.00033549938,0.00004484642,6.986397e-8,0.006142218,0.000031884218,0.003716843,0.00429168,0.00018026709,0.000115202776],"about_ca_topic_score_codex":0.083980486,"about_ca_topic_score_gemma":0.19678465,"teacher_disagreement_score":0.11280417,"about_ca_system_score_codex":0.00016040364,"about_ca_system_score_gemma":0.0007259163,"threshold_uncertainty_score":0.9221194},"labels":[],"label_agreement":null},{"id":"W1985255458","doi":"10.1249/mss.0b013e318185496c","title":"Age Differences in the Relation of Perceived Neighborhood Environment to Walking","year":2009,"lang":"en","type":"article","venue":"Medicine & Science in Sports & Exercise","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":270,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver Community College; University of British Columbia","funders":"National Heart, Lung, and Blood Institute","keywords":"Walkability; Recreation; Pedestrian; Demographics; Built environment; Level design; Physical activity; Psychology; Geography; Human factors and ergonomics; Gerontology; Environmental health; Poison control; Transport engineering; Demography; Medicine; Physical therapy; Engineering; Computer science","score_opus":0.021463662633218812,"score_gpt":0.28545935174131054,"score_spread":0.26399568910809174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985255458","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9880851,0.000047194855,0.000032921653,0.0026693712,0.00014619435,0.00049857417,4.1737323e-7,0.000013205472,0.008507034],"genre_scores_gemma":[0.99931675,0.0001635779,0.00010331322,0.0002371699,0.00006568516,0.000011578289,0.0000015302346,0.0000023686664,0.00009802203],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99735665,0.0000638235,0.00046248108,0.00038003604,0.0013540125,0.00038302116],"domain_scores_gemma":[0.99936783,0.00007071915,0.0001195345,0.0002984102,0.000028716728,0.00011476673],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035756384,0.000114916606,0.00029172166,0.00027571575,0.00024313242,0.000025012172,0.00073709927,0.00004847048,0.0002920078],"category_scores_gemma":[0.00016556002,0.000073639916,0.000030998195,0.0014252779,0.0010708693,0.00052984525,0.000017478344,0.00016535616,0.0000026151329],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010870812,0.00009261511,0.8879641,0.000002635379,3.510316e-8,0.000025968453,0.07604762,0.000010694196,0.00028085936,0.00013420585,0.000007081124,0.035423264],"study_design_scores_gemma":[0.00015199027,0.00006026781,0.9849383,0.00019651494,0.000007899561,1.3997412e-7,0.011089768,0.00002372411,0.000003253525,0.0033375884,0.00010395532,0.00008654406],"about_ca_topic_score_codex":0.0017391914,"about_ca_topic_score_gemma":0.0008077467,"teacher_disagreement_score":0.0969742,"about_ca_system_score_codex":0.00011110171,"about_ca_system_score_gemma":0.000112717,"threshold_uncertainty_score":0.39456627},"labels":[],"label_agreement":null},{"id":"W1985708041","doi":"10.1007/s11524-011-9605-2","title":"Toward a Research and Action Agenda on Urban Planning/Design and Health Equity in Cities in Low and Middle-Income Countries","year":2011,"lang":"en","type":"article","venue":"Journal of Urban Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":76,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Urban design; Urban planning; Equity (law); Built environment; Environmental planning; Business; Health equity; Level design; Economic growth; Environmental health; Environmental resource management; Geography; Political science; Medicine; Health care; Engineering; Economics; Computer science; Civil engineering","score_opus":0.49078849434518856,"score_gpt":0.48467841949015167,"score_spread":0.0061100748550368955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985708041","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98758733,0.0068347803,0.000054893007,0.0046109008,0.00016348934,0.00036135735,0.000005558045,0.000009147841,0.00037254835],"genre_scores_gemma":[0.99623966,0.0028572166,0.000314626,0.0003289146,0.00015575881,0.0000032360492,5.16485e-7,0.000007926872,0.0000921515],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997423,0.0006194983,0.0006452385,0.00021927008,0.00055658317,0.0005364],"domain_scores_gemma":[0.9988575,0.0002651407,0.00035162232,0.00008687305,0.000106466774,0.00033237447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009958743,0.00011420723,0.0004089562,0.00043983528,0.00039365244,0.000094517716,0.00014647859,0.000095317446,0.000022012327],"category_scores_gemma":[0.00008796353,0.0000996521,0.000022035498,0.00031345824,0.00047082553,0.0004998207,0.00003152311,0.0006260492,4.321402e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005070776,0.00010372588,0.89346826,0.00062083756,0.0000058438727,0.000034389024,0.10305021,0.000001137105,7.8790634e-7,0.0008719011,0.0006022981,0.0007335466],"study_design_scores_gemma":[0.00077768107,0.0015931071,0.9816405,0.001528694,0.0000021319229,0.0000052664823,0.008459715,0.000015979082,0.000020126148,0.0053745257,0.00048231456,0.00009991188],"about_ca_topic_score_codex":0.009559622,"about_ca_topic_score_gemma":0.0060498207,"teacher_disagreement_score":0.0945905,"about_ca_system_score_codex":0.00056755805,"about_ca_system_score_gemma":0.0012813639,"threshold_uncertainty_score":0.9970358},"labels":[],"label_agreement":null},{"id":"W1985780231","doi":"10.3141/2017-01","title":"Sustainability in Transport","year":2007,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministère des Transports","funders":"","keywords":"Sustainability; Sustainable transport; Transport policy; Public transport; Transportation planning; Business; Political science; Transport engineering; Environmental planning; Engineering","score_opus":0.08847691042637539,"score_gpt":0.45027744069035247,"score_spread":0.36180053026397707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985780231","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98599064,0.00023508786,0.0013250915,0.008266929,0.0006784878,0.0015758752,0.000026167101,0.000040010367,0.0018616804],"genre_scores_gemma":[0.9973786,0.0003736813,0.0005469536,0.000049641276,0.00034518188,0.00003494201,0.000010029907,0.000042701715,0.0012182776],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9873863,0.0019009733,0.0023578731,0.00057908415,0.0058671483,0.0019086434],"domain_scores_gemma":[0.99030095,0.0018345241,0.000468515,0.00059780263,0.0061038975,0.00069428683],"candidate_categories":["metaresearch","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.029826667,0.00027400328,0.00058280124,0.0016149436,0.0012189357,0.00010643889,0.001879984,0.00038652215,0.0005907431],"category_scores_gemma":[0.00061677385,0.00022101095,0.00056314096,0.0055026184,0.002374047,0.0012789539,0.000004983908,0.0034560931,0.000011605857],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014530381,0.00048636328,0.9663919,0.00016800103,0.00003744205,0.0003056786,0.016330093,0.00015660428,0.00021892444,0.007189235,0.0007220547,0.0065406654],"study_design_scores_gemma":[0.0012372494,0.00019963419,0.9288527,0.00016940993,0.000025222136,6.554551e-8,0.014004792,0.0000044984645,0.00036853226,0.015547835,0.039385542,0.00020456123],"about_ca_topic_score_codex":0.1215536,"about_ca_topic_score_gemma":0.7780128,"teacher_disagreement_score":0.6564592,"about_ca_system_score_codex":0.0012012245,"about_ca_system_score_gemma":0.0027459078,"threshold_uncertainty_score":0.9989976},"labels":[],"label_agreement":null},{"id":"W1985884467","doi":"10.1016/j.ypmed.2014.06.016","title":"Crime and perceptions of safety in the home neighborhood are independently associated with physical activity among 11–15year olds","year":2014,"lang":"en","type":"article","venue":"Preventive Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":60,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Canadian Institutes of Health Research; Canada Research Chairs; Heart and Stroke Foundation of Canada","keywords":"Odds; Medicine; Logistic regression; Confounding; Injury prevention; Demography; Occupational safety and health; Poison control; Perception; Odds ratio; Physical activity; Human factors and ergonomics; Suicide prevention; Cross-sectional study; Environmental health; Gerontology; Psychology; Physical therapy","score_opus":0.013026330316094554,"score_gpt":0.29207611097301106,"score_spread":0.2790497806569165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985884467","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99292576,0.000020820882,0.00042935496,0.0006713156,0.000036932324,0.0003048187,0.0000102764225,0.000016797861,0.0055838926],"genre_scores_gemma":[0.99958503,0.0000090485455,0.000004047213,0.000031981064,0.00012952882,0.000010802377,0.0000073354695,0.000005593435,0.00021662835],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998479,0.0005292886,0.0001395343,0.00021044469,0.0004538714,0.00018783587],"domain_scores_gemma":[0.9992188,0.00033162627,0.00016236046,0.00014453437,0.000081378734,0.00006128308],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013048276,0.000101205005,0.00029124794,0.000047512956,0.00017595217,0.00001047145,0.00018950636,0.000060415878,0.00010025756],"category_scores_gemma":[0.0002522726,0.000060714272,0.000040764713,0.00034078656,0.0008870125,0.00020288971,0.00001859811,0.00020870364,8.153649e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025100388,0.00029001312,0.9812238,0.000012130969,0.00001791824,0.0000013724075,0.016442806,4.7105192e-7,0.00005714345,0.00093218655,0.000018731644,0.0009782825],"study_design_scores_gemma":[0.00075167645,0.00010231916,0.99001616,0.0001431882,0.00007255158,6.7145606e-8,0.0065288297,0.00004944906,0.000013627856,0.0022286482,0.000019818679,0.00007364829],"about_ca_topic_score_codex":0.0023741173,"about_ca_topic_score_gemma":0.012085401,"teacher_disagreement_score":0.009913975,"about_ca_system_score_codex":0.000043526623,"about_ca_system_score_gemma":0.000036797548,"threshold_uncertainty_score":0.6743938},"labels":[],"label_agreement":null},{"id":"W1985920161","doi":"10.1007/s11116-015-9605-2","title":"Identification of the minimum size of the shared-car fleet required to satisfy car-driving trips in Montreal","year":2015,"lang":"en","type":"article","venue":"Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Sherbrooke; Polytechnique Montréal","funders":"","keywords":"TRIPS architecture; Metropolitan area; Transport engineering; Identification (biology); Scale (ratio); Advertising; Geography; Business; Engineering; Cartography","score_opus":0.031127404904846487,"score_gpt":0.2959967360770023,"score_spread":0.2648693311721558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985920161","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99763244,0.00003148706,0.00010103212,0.00076768704,0.0002744824,0.00053970556,0.000067856476,0.000014501523,0.0005708156],"genre_scores_gemma":[0.99944353,0.000003516583,0.000056682053,0.00002433488,0.000034932047,0.000018799314,0.000012702083,0.000006104499,0.0003994167],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99847776,0.00012911187,0.00056362106,0.00018144581,0.0005027761,0.0001452685],"domain_scores_gemma":[0.99915886,0.000079720834,0.00027195347,0.0002659,0.00016739476,0.000056197874],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007865098,0.00007683572,0.00015774606,0.000034831122,0.00009429857,0.000014763025,0.00036401761,0.00007867484,0.000030010619],"category_scores_gemma":[0.0001868308,0.000055042565,0.0000949557,0.00064778136,0.00014034602,0.0002724397,0.00000320504,0.00007491873,0.0000017415218],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038551567,0.000050517163,0.9421133,0.000021240616,0.0000056816543,3.1297387e-7,0.047054525,0.00019287238,0.009405352,0.0003208198,0.0000876722,0.000709186],"study_design_scores_gemma":[0.00030707623,0.000010421432,0.99083275,0.000043456625,0.000028245826,1.07459925e-8,0.0025295934,0.000029151599,0.0046434663,0.0014567518,0.00005887014,0.000060214425],"about_ca_topic_score_codex":0.0139539745,"about_ca_topic_score_gemma":0.27667707,"teacher_disagreement_score":0.2627231,"about_ca_system_score_codex":0.000064415595,"about_ca_system_score_gemma":0.00017406234,"threshold_uncertainty_score":0.9926122},"labels":[],"label_agreement":null},{"id":"W1986264434","doi":"10.1016/j.ypmed.2013.05.028","title":"The impact of implementing a public bicycle share program on the likelihood of collisions and near misses in Montreal, Canada","year":2013,"lang":"en","type":"article","venue":"Preventive Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":37,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; Université de Montréal; University of Saskatchewan; Saskatchewan Health; Saskatchewan Health Authority","funders":"Canadian Institutes of Health Research; Saskatchewan Health Research Foundation","keywords":"Medicine; Near miss; Confidence interval; Logistic regression; Collision; Demography; Generalized estimating equation; Statistics; Forensic engineering; Computer security","score_opus":0.02720289582506384,"score_gpt":0.3400110175790967,"score_spread":0.31280812175403283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986264434","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9903696,0.0005120988,9.776895e-7,0.0049629314,0.000022056229,0.0008670713,0.000021714775,0.0000055680207,0.0032379904],"genre_scores_gemma":[0.99971884,0.000037162426,0.000009097216,0.000018804994,0.000028438842,0.00006149033,0.0000057202515,0.000003210364,0.00011726046],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99891376,0.00015584605,0.00027179116,0.000116333664,0.00027962608,0.0002626545],"domain_scores_gemma":[0.99896306,0.0005089645,0.00016099897,0.00013710937,0.00015299348,0.00007688519],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008838335,0.00007175082,0.00016146341,0.000023668348,0.00032088146,0.000027679034,0.0002161775,0.000019890733,0.00056110835],"category_scores_gemma":[0.00056228583,0.000032722026,0.0000381842,0.00035696177,0.00042123723,0.00009513182,0.000028171684,0.00008580967,2.8873845e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000084928515,0.00012972714,0.9574442,0.000014404141,0.000037904556,6.4281863e-7,0.0047622705,4.0643476e-7,0.00007238138,0.00010628577,0.003182848,0.034240447],"study_design_scores_gemma":[0.0002210755,0.000117696276,0.9889316,0.00008472523,0.000011119933,3.2307383e-8,0.0084912,0.00008733513,0.00004533675,0.0013234516,0.000653062,0.000033367833],"about_ca_topic_score_codex":0.9446711,"about_ca_topic_score_gemma":0.9563146,"teacher_disagreement_score":0.03420708,"about_ca_system_score_codex":0.00005140789,"about_ca_system_score_gemma":0.00036275238,"threshold_uncertainty_score":0.6143743},"labels":[],"label_agreement":null},{"id":"W1986351906","doi":"10.1016/j.socscimed.2007.05.053","title":"Stepping towards causation: Do built environments or neighborhood and travel preferences explain physical activity, driving, and obesity?","year":2007,"lang":"en","type":"article","venue":"Social Science & Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":687,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Georgia Department of Transportation","keywords":"Walkability; Built environment; Geography; Preference; Population; Level design; Travel behavior; Atlanta; Demography; Metropolitan area; Poison control; Psychology; Environmental health; Transport engineering; Medicine; Sociology; Ecology; Engineering; Economics; Computer science","score_opus":0.04383509176301368,"score_gpt":0.3504143056760363,"score_spread":0.3065792139130226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986351906","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9854732,0.00007109646,0.0008663159,0.0010087066,0.00020416798,0.00026358312,0.0000024357635,0.000029563373,0.012080914],"genre_scores_gemma":[0.9987014,0.000060956878,0.00001877907,0.00007892272,0.0008617365,0.0000053190824,0.0000013572532,0.0000052611763,0.0002662786],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975844,0.00007583542,0.0001831625,0.0004990115,0.0011318298,0.00052574417],"domain_scores_gemma":[0.99927723,0.00013441803,0.00012578588,0.00010704505,0.000041172552,0.00031433595],"candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0023998623,0.00015537142,0.00027720552,0.00009186583,0.0016201589,0.00009408285,0.00031868223,0.000092294846,0.00009285293],"category_scores_gemma":[0.00024647542,0.00011455599,0.000026472257,0.00063846406,0.004399534,0.0008449736,0.000062445724,0.00018597812,0.0000012296923],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002800725,0.00015499194,0.7453408,0.00001645199,0.000008381382,0.000007780838,0.13221864,4.9153062e-8,0.0040313867,0.0036080221,0.000024111023,0.11456134],"study_design_scores_gemma":[0.00041633824,0.000096836375,0.97994995,0.000039836264,0.000029219755,3.4484765e-7,0.015088301,0.0000127921785,0.00044563675,0.0034140325,0.00034632476,0.00016035617],"about_ca_topic_score_codex":0.001807809,"about_ca_topic_score_gemma":0.0027920192,"teacher_disagreement_score":0.23460914,"about_ca_system_score_codex":0.00014024045,"about_ca_system_score_gemma":0.00024877934,"threshold_uncertainty_score":0.9996796},"labels":[],"label_agreement":null},{"id":"W1986354916","doi":"10.3141/2002-12","title":"Pedestrians' Normal Walking Speed and Speed When Crossing a Street","year":2007,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":155,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"University of Manitoba","keywords":"Preferred walking speed; Intersection (aeronautics); Power walking; Simulation; Transport engineering; Computer science; Physical medicine and rehabilitation; Medicine; Engineering","score_opus":0.10970807477675724,"score_gpt":0.42272590831912266,"score_spread":0.3130178335423654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986354916","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9931314,0.0003282586,0.0009018726,0.0027936269,0.00057359645,0.0009365975,0.000038495524,0.00004346883,0.0012526833],"genre_scores_gemma":[0.99620193,0.00033939202,0.0015548924,0.000050972456,0.0006037484,0.000004396711,0.000012568104,0.000043909266,0.0011881609],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9899561,0.0012959704,0.0016971469,0.0005174082,0.004993522,0.0015398605],"domain_scores_gemma":[0.99339455,0.0016695753,0.000549723,0.00040599005,0.003177114,0.0008030577],"candidate_categories":["sts","research_integrity"],"consensus_categories":["sts"],"category_scores_codex":[0.017777536,0.00027303884,0.000500709,0.0009929978,0.0028998442,0.0006193649,0.0012320138,0.0003082301,0.0005723727],"category_scores_gemma":[0.00044077396,0.00022035101,0.00037850827,0.002100144,0.002825956,0.0015704569,0.000009039073,0.002496964,0.000008717936],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012769279,0.00019258301,0.9550879,0.00012967462,0.00007915762,0.0001988737,0.025389848,0.00003960326,0.0019068576,0.0018916433,0.0008504494,0.012956488],"study_design_scores_gemma":[0.0015054618,0.00024716716,0.96283954,0.00028053235,0.000055476397,2.0732875e-7,0.015448208,0.000016328455,0.0010128616,0.0048081605,0.013555855,0.00023019029],"about_ca_topic_score_codex":0.07057988,"about_ca_topic_score_gemma":0.48327902,"teacher_disagreement_score":0.41269913,"about_ca_system_score_codex":0.00033125104,"about_ca_system_score_gemma":0.0014586018,"threshold_uncertainty_score":0.99988776},"labels":[],"label_agreement":null},{"id":"W1986508818","doi":"10.1016/j.tranpol.2014.09.013","title":"Integrating social equity into urban transportation planning: A critical evaluation of equity objectives and measures in transportation plans in North America","year":2014,"lang":"en","type":"article","venue":"Transport Policy","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":340,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Equity (law); Operationalization; Transportation planning; Social equality; Public economics; Business; Metropolitan area; Economics; Transport engineering; Political science; Geography; Engineering","score_opus":0.07354351223676892,"score_gpt":0.4263681231612841,"score_spread":0.35282461092451517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986508818","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9926539,0.00011492944,0.0022002347,0.0007198626,0.00006385802,0.0005488179,0.00014173401,0.000061415274,0.0034952152],"genre_scores_gemma":[0.9990688,0.000020285897,0.00026000585,0.000071471586,0.0002009183,0.0000675632,0.00028627279,0.000019339031,0.0000053316166],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99644387,0.00041141195,0.0009490307,0.00051195367,0.0011432131,0.0005405023],"domain_scores_gemma":[0.9990405,0.00019894078,0.00021020597,0.00014403771,0.0002522326,0.00015409969],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0026012363,0.0002544288,0.0005319083,0.00042008588,0.00028058913,0.000030333618,0.00027385025,0.0002204181,0.000037707938],"category_scores_gemma":[0.00029479718,0.00027046865,0.00012254895,0.0011621816,0.00077660027,0.00066749676,0.0000035026235,0.00036211777,6.6660704e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001464299,0.00019230615,0.78411096,0.00013202772,0.000010913347,0.0000031547054,0.18640488,0.00021342158,0.00023765958,0.0076364335,0.0000026975372,0.020909121],"study_design_scores_gemma":[0.0009956886,0.000074656775,0.9815729,0.000082302984,0.00009323104,5.1554718e-8,0.0073893736,0.00026713728,0.000117227515,0.009000902,0.00014743785,0.00025906583],"about_ca_topic_score_codex":0.050947715,"about_ca_topic_score_gemma":0.49026066,"teacher_disagreement_score":0.43931296,"about_ca_system_score_codex":0.00027351655,"about_ca_system_score_gemma":0.00071675936,"threshold_uncertainty_score":0.9999747},"labels":[],"label_agreement":null},{"id":"W1987319212","doi":"10.1080/17549175.2013.771694","title":"Neighbourhood type and walkshed size","year":2013,"lang":"en","type":"article","venue":"Journal of Urbanism International Research on Placemaking and Urban Sustainability","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Walkability; Neighbourhood (mathematics); Geography; Transport engineering; Urban planning; Regional science; Computer science; Built environment; Mathematics; Civil engineering; Engineering","score_opus":0.04177947903443462,"score_gpt":0.4096844861149273,"score_spread":0.3679050070804927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987319212","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9679811,0.00030968373,0.00004341516,0.012317209,0.00036593294,0.0003740957,0.0000032000205,0.00001792809,0.01858746],"genre_scores_gemma":[0.9924449,0.00010239476,0.00016770813,0.00012439798,0.00046216155,0.000007831472,8.4262797e-7,0.000011135095,0.006678628],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9966646,0.0006762335,0.000497217,0.00030294247,0.0013903923,0.00046861952],"domain_scores_gemma":[0.9925218,0.0022772937,0.00022581582,0.00018170984,0.004436629,0.00035674244],"candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0055641863,0.00013848537,0.00026083158,0.00025524475,0.00063082576,0.00048212515,0.0004209143,0.000138252,0.0009527068],"category_scores_gemma":[0.011491918,0.0001013816,0.000073749514,0.00039958558,0.0008174339,0.00077369134,0.000095707735,0.000900546,0.000006878847],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00093677046,0.0005776457,0.88059074,0.00012162474,0.00013765704,0.00009569584,0.01006155,0.000007900768,0.00019511892,0.078761674,0.0142831765,0.014230429],"study_design_scores_gemma":[0.0010467172,0.0006599561,0.7921605,0.00009941194,0.000017729166,0.000009109704,0.016547052,0.00011698909,0.000062637984,0.14451702,0.044540085,0.00022280028],"about_ca_topic_score_codex":0.0012631927,"about_ca_topic_score_gemma":0.00009566392,"teacher_disagreement_score":0.08843026,"about_ca_system_score_codex":0.00059958873,"about_ca_system_score_gemma":0.0008065654,"threshold_uncertainty_score":0.99996054},"labels":[],"label_agreement":null},{"id":"W1987395282","doi":"10.1111/j.0008-3658.2004.0073.x","title":"What about effective access to cars in motorised households?","year":2004,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"","keywords":"Metropolitan area; Typology; Car ownership; Per capita; Business; Public transport; Possession (linguistics); Transport engineering; Household income; Demographic economics; Geography; Economic growth; Economics; Engineering; Demography; Population; Sociology","score_opus":0.012095315429535364,"score_gpt":0.24958633675842706,"score_spread":0.2374910213288917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987395282","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9854981,0.0024446861,0.0000044269586,0.0043355403,0.0024919682,0.001917356,0.00012461159,0.00018768768,0.0029956293],"genre_scores_gemma":[0.99530995,0.0020094917,0.000058407983,0.0016991933,0.00027834089,0.00043005086,0.00003555654,0.000056414323,0.00012260395],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9957619,0.00015743665,0.00051440526,0.00094845064,0.00047322531,0.0021446103],"domain_scores_gemma":[0.9963555,0.00014012685,0.000114898365,0.00062998995,0.0002457694,0.0025137563],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0006757572,0.0004753429,0.0005586154,0.004303356,0.0012369712,0.0010618147,0.0014130664,0.00033780557,0.000094243005],"category_scores_gemma":[0.00018860056,0.0005314394,0.0003402694,0.011760006,0.0017692634,0.002518879,0.000051986135,0.0003875917,0.000013846684],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033701053,0.000050608454,0.96388996,0.000035162906,0.00007221936,0.0002531566,0.021232678,0.00018110384,0.00001113859,0.0035299503,0.0010267026,0.0096836025],"study_design_scores_gemma":[0.0006315208,0.00008065927,0.92462206,0.00022234471,0.000034630477,0.0000013175264,0.022116031,3.4511143e-7,0.000041707855,0.0052833133,0.046307743,0.0006583308],"about_ca_topic_score_codex":0.97756225,"about_ca_topic_score_gemma":0.99988127,"teacher_disagreement_score":0.045281038,"about_ca_system_score_codex":0.0007615813,"about_ca_system_score_gemma":0.00091556617,"threshold_uncertainty_score":0.9999752},"labels":[],"label_agreement":null},{"id":"W1987429056","doi":"10.1007/s11116-006-9104-6","title":"Transportation and land-use preferences and residents’ neighborhood choices: the sufficiency of compact development in the Atlanta region","year":2006,"lang":"en","type":"article","venue":"Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":123,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Atlanta; Preference; Transit-oriented development; Land use; Geography; Transport engineering; Scale (ratio); Built environment; Revealed preference; Travel behavior; Metropolitan area; Public transport; Economics; Econometrics; Engineering; Microeconomics; Cartography; Civil engineering","score_opus":0.03564916745312236,"score_gpt":0.27663956106208853,"score_spread":0.24099039360896618,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987429056","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980946,0.00026143919,0.0001513039,0.000354616,0.000024998493,0.0003829677,0.000013035038,0.00001826056,0.0006987827],"genre_scores_gemma":[0.99957865,0.000151827,0.00003175373,0.000029189574,0.000026343767,0.000009934051,0.000120648,0.0000041537037,0.000047475918],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99882674,0.000100669764,0.00037846286,0.00019331787,0.00034080335,0.00016003352],"domain_scores_gemma":[0.9995057,0.00017391336,0.00014871986,0.00009621876,0.000049712864,0.000025729578],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005085038,0.0000991607,0.00013123578,0.000050623774,0.0002675966,0.000060430466,0.00015491639,0.00006144648,0.000009241805],"category_scores_gemma":[0.00000810579,0.00006109748,0.000025569261,0.00028689572,0.00024013808,0.00042693416,4.3261653e-7,0.00009426179,2.467114e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003543404,0.00006797462,0.9678573,0.00003446476,0.0000037300683,0.0000023499485,0.027659709,0.00001953681,0.000026110487,0.003761854,0.000013063796,0.00051846844],"study_design_scores_gemma":[0.0003011323,0.00002022308,0.99543244,0.00004416257,0.000029598887,1.082416e-7,0.0021594877,0.000009894422,0.00007260318,0.0014711032,0.0003780636,0.00008120504],"about_ca_topic_score_codex":0.041335016,"about_ca_topic_score_gemma":0.33863667,"teacher_disagreement_score":0.29730165,"about_ca_system_score_codex":0.000013370449,"about_ca_system_score_gemma":0.000076020115,"threshold_uncertainty_score":0.9650488},"labels":[],"label_agreement":null},{"id":"W1987903210","doi":"10.1007/s11205-007-9129-z","title":"Changes in quality of life perceptions in Saskatoon, Saskatchewan: comparing survey results from 2001 and 2004","year":2007,"lang":"en","type":"article","venue":"Social Indicators Research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Saskatchewan Health Authority; University of Saskatchewan; University of Northern British Columbia; McMaster University","funders":"University of British Columbia; McMaster University","keywords":"Quality of life (healthcare); Quality of Life Research; Stakeholder; Human geography; Feeling; Sustainability; Perception; Public health; Psychology; Gerontology; Sociology; Socioeconomics; Geography; Public relations; Political science; Medicine; Social psychology; Social science; Nursing","score_opus":0.22941084852101867,"score_gpt":0.47149087072843554,"score_spread":0.24208002220741687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987903210","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9942727,0.00016225365,0.000006230961,0.0008631748,0.00005671063,0.00033252788,0.00019768444,0.000019765554,0.0040889257],"genre_scores_gemma":[0.9993705,0.00004423744,0.00004095955,0.000023348606,0.0001956115,0.000009009088,0.00008385516,0.000009578825,0.00022288726],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99505645,0.0019523524,0.0006941289,0.0004392125,0.0010469933,0.00081085577],"domain_scores_gemma":[0.9977321,0.0015045813,0.00015461977,0.00018085245,0.00016547483,0.00026238238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.027824875,0.000106818414,0.00040250501,0.00059984275,0.0004954726,0.0000543233,0.0003964135,0.00030226354,0.00017038657],"category_scores_gemma":[0.0014349044,0.000115898925,0.000043944234,0.0023953605,0.001638078,0.0001779658,0.00008426682,0.000707281,0.0000062110857],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024945624,0.00019749624,0.91817075,0.00001478302,0.000007302216,0.0000022596962,0.07953607,2.27903e-7,0.00016004339,0.000055574837,0.0003591784,0.0012468642],"study_design_scores_gemma":[0.0007101397,0.000014048431,0.9432269,0.000019730622,0.000001439183,4.043613e-9,0.055174638,0.0000015905672,0.000058124035,0.0005282245,0.0001559734,0.000109237335],"about_ca_topic_score_codex":0.53410923,"about_ca_topic_score_gemma":0.9811516,"teacher_disagreement_score":0.44704235,"about_ca_system_score_codex":0.00030859717,"about_ca_system_score_gemma":0.0008031907,"threshold_uncertainty_score":0.9643602},"labels":[],"label_agreement":null},{"id":"W1988255621","doi":"10.1068/b3506ged","title":"Social Networks, Choices, Mobility, and Travel","year":2008,"lang":"en","type":"article","venue":"Environment and Planning B Planning and Design","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":68,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"McMaster University","keywords":"Social mobility; Economic geography; Sociology; Geography; Social science","score_opus":0.06575066463463371,"score_gpt":0.2842935947620938,"score_spread":0.21854293012746012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988255621","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9796022,0.0064548193,0.011148452,0.00014522954,0.00006771654,0.0002270249,0.000004736852,0.000059171696,0.002290626],"genre_scores_gemma":[0.99783283,0.00040287123,0.00073177484,0.000084061954,0.00030083494,0.000008873922,0.000015067039,0.000009376552,0.0006143312],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99882734,0.00013229418,0.00017353287,0.00034984123,0.00020020989,0.0003167803],"domain_scores_gemma":[0.99947315,0.00022855132,0.00006609498,0.00006867025,0.0000046582245,0.00015886662],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0006415116,0.00015767688,0.000209312,0.00003903296,0.0015015468,0.00007329755,0.000074277574,0.00014730298,0.000024782734],"category_scores_gemma":[0.000016883836,0.00015067375,0.00002418551,0.00005344262,0.0006182487,0.0001956991,0.000026083902,0.00018614189,0.0000017192959],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060838254,0.000034174103,0.98169214,0.000011539639,0.000016918895,0.000039939394,0.015723797,0.0003338311,0.00003085929,0.00011975449,0.0009981665,0.0009380166],"study_design_scores_gemma":[0.0003919749,0.000056783065,0.99039453,0.000028054072,0.000029409237,0.0000046801674,0.0016253305,0.00086562923,0.000014133036,0.00036106588,0.005978103,0.00025032743],"about_ca_topic_score_codex":0.00021315884,"about_ca_topic_score_gemma":0.0000036760002,"teacher_disagreement_score":0.018230585,"about_ca_system_score_codex":0.000016504293,"about_ca_system_score_gemma":0.000025218005,"threshold_uncertainty_score":0.99979836},"labels":[],"label_agreement":null},{"id":"W1988371936","doi":"10.1016/j.healthplace.2007.03.002","title":"Neighborhood and developmental differences in children's perceptions of opportunities for play and physical activity","year":2007,"lang":"en","type":"article","venue":"Health & Place","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":120,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Yard; Perception; Walkability; Psychology; Physical activity; Style (visual arts); Developmental psychology; Geography; Medicine","score_opus":0.05929925077846899,"score_gpt":0.3440931763097501,"score_spread":0.28479392553128113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988371936","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976871,0.00006278312,0.00020343452,0.00097036926,0.000023716266,0.00031996288,0.000037627375,0.000013453254,0.0006815708],"genre_scores_gemma":[0.99940455,0.00010361651,0.00022464749,0.00007463509,0.000049622435,0.000007981038,0.0000055147125,0.000003008484,0.00012644951],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99934244,0.00004615416,0.00012396039,0.00014728974,0.000117550655,0.00022258681],"domain_scores_gemma":[0.99954027,0.00022601878,0.00006050237,0.00003394856,0.000016578077,0.00012266764],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056081073,0.00006464975,0.00016954137,0.00004337907,0.00026048083,0.000013600778,0.00005005001,0.000040516665,0.000015773392],"category_scores_gemma":[0.000026823862,0.00005931437,0.000016311671,0.000073665724,0.00025151417,0.00016008427,0.0000085415995,0.00007273606,1.4323207e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000341434,0.00010893038,0.96435905,0.00003111961,0.0000032816356,2.1277866e-7,0.014553855,2.6632616e-8,0.000015783657,0.00070039334,0.00003568439,0.020157542],"study_design_scores_gemma":[0.00026559355,0.000045859313,0.98874927,0.000015431808,0.0000029118978,3.8295642e-7,0.010487274,0.000009579142,0.00001694814,0.0002390056,0.00010672153,0.00006102476],"about_ca_topic_score_codex":0.0022756578,"about_ca_topic_score_gemma":0.00937578,"teacher_disagreement_score":0.024390241,"about_ca_system_score_codex":0.00005118301,"about_ca_system_score_gemma":0.00026474986,"threshold_uncertainty_score":0.5231905},"labels":[],"label_agreement":null},{"id":"W1988699659","doi":"10.1136/injuryprev-2015-041602.75","title":"0066 Bicyclist safety behaviours in an urban northeastern, united states city: an observational study","year":2015,"lang":"en","type":"article","venue":"Poster presentations","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Poison control; Occupational safety and health; Injury prevention; Human factors and ergonomics; Observational study; Suicide prevention; Transport engineering; Engineering; Medical emergency; Law; Medicine; Political science","score_opus":0.26086634329849434,"score_gpt":0.4282589286602737,"score_spread":0.16739258536177937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988699659","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959116,0.000011133326,0.00007375072,0.001222434,0.00018207724,0.0007191986,0.00018818802,0.0000880869,0.0016035357],"genre_scores_gemma":[0.9967409,9.3472534e-7,0.00009048988,0.00020243254,0.0001400551,0.00004794995,0.0020813073,0.000013023244,0.0006829422],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979494,0.00048687714,0.0003862221,0.00032608255,0.0005405076,0.00031090775],"domain_scores_gemma":[0.9988863,0.000084287734,0.00008908816,0.00029577545,0.0003328557,0.0003116872],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007345657,0.00012229473,0.00014416387,0.00019279055,0.00037370052,0.00021789617,0.00037046458,0.00005598099,0.00015093198],"category_scores_gemma":[0.00005381925,0.0001239212,0.00003349687,0.0007313885,0.00018094035,0.0016644184,0.00003598515,0.00014170988,0.000008451809],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004894075,0.0009905705,0.9291649,0.0000013603386,0.0000072160215,0.0000073376855,0.0692345,0.00014235485,0.0000019537392,0.00020703315,0.00007594127,0.000117912205],"study_design_scores_gemma":[0.000702382,0.000103169674,0.9628128,0.0000038136566,0.00002683699,1.08747706e-7,0.03468896,0.0002390622,0.000003184783,0.00071535807,0.00055814214,0.00014617693],"about_ca_topic_score_codex":0.06944368,"about_ca_topic_score_gemma":0.41016138,"teacher_disagreement_score":0.3407177,"about_ca_system_score_codex":0.000078159974,"about_ca_system_score_gemma":0.00021073608,"threshold_uncertainty_score":0.936753},"labels":[],"label_agreement":null},{"id":"W1989164475","doi":"10.3141/1804-17","title":"Spatial Behavioral Data: Collection and Use in Activity Scheduling Models","year":2002,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"RWTH Aachen University","keywords":"Respondent; Travel behavior; Computer science; Data collection; Sample (material); Travel survey; Scheduling (production processes); Spatial analysis; Survey data collection; Transport engineering; Geography; Engineering; Statistics; Operations management","score_opus":0.3411475700665914,"score_gpt":0.45340629794347703,"score_spread":0.11225872787688562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989164475","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99397975,0.0002143954,0.0018114351,0.0024536373,0.00037595766,0.0009248747,0.00006380126,0.000024221501,0.00015192344],"genre_scores_gemma":[0.99616396,0.0016757479,0.0012911487,0.000014804381,0.00017790683,0.000027808454,0.000013559985,0.000028999344,0.00060604204],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99251807,0.0017891593,0.0009903617,0.000543365,0.003299674,0.0008593642],"domain_scores_gemma":[0.9961883,0.0008836828,0.00032465943,0.0005345019,0.0016831426,0.0003857525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006336752,0.00019329748,0.00039699505,0.00088531955,0.0012039611,0.00032336914,0.0011379324,0.0002509041,0.00031388653],"category_scores_gemma":[0.00022878723,0.00016368846,0.0001594794,0.0023461198,0.001145086,0.0037949712,0.0000122373685,0.0022659253,0.000004311002],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00071205554,0.0005533814,0.97542924,0.00006975802,0.000033087992,0.0000789569,0.009830585,0.0004592944,0.00043010706,0.0005692038,0.00060853374,0.011225807],"study_design_scores_gemma":[0.0012567161,0.00021257368,0.98786366,0.0001797181,0.00003835112,1.0423865e-7,0.002395191,0.003800604,0.000121880425,0.0021010672,0.0018550192,0.00017510785],"about_ca_topic_score_codex":0.25906965,"about_ca_topic_score_gemma":0.7788582,"teacher_disagreement_score":0.5197885,"about_ca_system_score_codex":0.00031795396,"about_ca_system_score_gemma":0.00050460367,"threshold_uncertainty_score":0.9844444},"labels":[],"label_agreement":null},{"id":"W1989294455","doi":"10.3389/fpubh.2015.00053","title":"BikeMaps.org: A Global Tool for Collision and Near Miss Mapping","year":2015,"lang":"en","type":"article","venue":"Frontiers in Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":81,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Vancouver Coastal Health; University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Automobile Association","keywords":"Computer science; Data quality; Cycling; Limiting; Quality (philosophy); Data sharing; Data collection; Hazard; Citizen science; Geography; Engineering; Medicine; Operations management","score_opus":0.10139339433571772,"score_gpt":0.3601294472586451,"score_spread":0.2587360529229274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989294455","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93968195,0.001145482,0.026383877,0.027125524,0.001579618,0.00095012586,0.00005301814,0.00008341001,0.0029970002],"genre_scores_gemma":[0.97385246,0.0000742147,0.024326285,0.0010908411,0.00018500286,0.000032583503,0.000023510422,0.0000071429154,0.00040794304],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983801,0.00016416596,0.00030701622,0.00028867167,0.00029340395,0.00056661374],"domain_scores_gemma":[0.9991725,0.000027805154,0.0000954393,0.00013682099,0.00010438189,0.00046302163],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033440357,0.0000897496,0.00024316908,0.00006123642,0.00039307817,0.00015630349,0.00020599357,0.000109744615,0.0000075779753],"category_scores_gemma":[0.00040062418,0.000087888526,0.000036171987,0.00058607414,0.00022381643,0.00045948246,0.000021442054,0.00009088612,0.0000020157988],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000165112,0.00004896603,0.9276366,0.000039128285,0.0000046754353,9.05941e-7,0.005711465,8.6333245e-7,9.016808e-8,0.0011856541,0.04878572,0.01656941],"study_design_scores_gemma":[0.00078481034,0.000053795487,0.3514448,0.0000221356,0.0000017935221,1.5402652e-7,0.00723471,0.00041340018,2.5282313e-7,0.0060928566,0.6338272,0.00012404239],"about_ca_topic_score_codex":0.0032054689,"about_ca_topic_score_gemma":0.00086063717,"teacher_disagreement_score":0.5850415,"about_ca_system_score_codex":0.0006482755,"about_ca_system_score_gemma":0.0024484694,"threshold_uncertainty_score":0.48457316},"labels":[],"label_agreement":null},{"id":"W1989364445","doi":"10.2495/sdp-v8-n4-591-602","title":"Healthy routes for active modes in school journeys","year":2013,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mode of transport; Sustainable transport; Promotion (chess); Transport engineering; Noise pollution; Noise (video); Sustainable development; Transportation planning; Public transport; Air quality index; Process (computing); Environmental planning; Business; Computer science; Environmental science; Engineering; Geography; Sustainability; Meteorology; Political science","score_opus":0.02629574971931588,"score_gpt":0.32529923116590037,"score_spread":0.2990034814465845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989364445","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940049,0.00028399978,0.0011806061,0.0022778802,0.0001799212,0.00019331933,8.849675e-7,0.0000054318366,0.0018730428],"genre_scores_gemma":[0.99559873,0.00002645075,0.0029948116,0.00016234658,0.00022743474,0.0000129589625,0.000003579488,0.000004065092,0.0009696066],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990184,0.000030043457,0.00034621544,0.00008481203,0.0002864894,0.0002340538],"domain_scores_gemma":[0.9987249,0.00013936679,0.00020085213,0.00002017936,0.0007968037,0.00011789854],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074378855,0.00006638892,0.00012612899,0.0002568005,0.00018708946,0.00018082578,0.0002099807,0.000047102712,0.00008336402],"category_scores_gemma":[0.00028475805,0.00005862113,0.00003052578,0.00007605187,0.00003921861,0.0010995301,0.000018150702,0.00013969802,9.781e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040020133,0.000093801915,0.91600573,0.00004076665,0.00010007215,0.00019660236,0.06039382,0.00016284126,0.000026486561,0.0049686516,0.0011718425,0.016439185],"study_design_scores_gemma":[0.001136996,0.000044532775,0.714192,0.00012813474,0.00000614429,0.0000031990412,0.24738362,0.00007391354,0.00024492602,0.011325124,0.025305469,0.00015599621],"about_ca_topic_score_codex":0.0005276937,"about_ca_topic_score_gemma":0.00012249852,"teacher_disagreement_score":0.20181379,"about_ca_system_score_codex":0.00031945755,"about_ca_system_score_gemma":0.00068140053,"threshold_uncertainty_score":0.23905003},"labels":[],"label_agreement":null},{"id":"W1990007521","doi":"10.1111/j.0008-3658.2005.00100.x","title":"La ségrégation économique comme un phénomène complexe : une analyse spatio‐temporelle du cas montréalais","year":2005,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Metropolitan area; Census; Geography; Economic geography; Welfare economics; Economics; Sociology; Demography; Archaeology; Population","score_opus":0.018064614424525154,"score_gpt":0.22850509014990583,"score_spread":0.2104404757253807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1990007521","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96699154,0.0015089359,0.000019576677,0.0128474,0.00036654528,0.0005881736,0.00029243008,0.00022750645,0.017157909],"genre_scores_gemma":[0.99599403,0.0014454027,0.00034214096,0.0010087054,0.00051052676,0.00008773029,0.00033665652,0.00005441508,0.00022040088],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9965147,0.00031819884,0.00072062056,0.0007485616,0.0002735886,0.0014243668],"domain_scores_gemma":[0.9966486,0.0002904711,0.00027877738,0.0006603752,0.00033630527,0.0017854427],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0008192059,0.00048955437,0.0005821607,0.0026862533,0.0025033352,0.00032032584,0.0008483664,0.0003823975,0.00054752186],"category_scores_gemma":[0.00012359132,0.0005433392,0.00047194093,0.0058090375,0.003112306,0.00081969536,0.00003373003,0.00039142766,0.000022722135],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019731358,0.000060499853,0.94914794,0.000021120319,0.00018446546,0.00007868996,0.011796041,0.00006585233,0.0000046995333,0.014306263,0.006962139,0.017352581],"study_design_scores_gemma":[0.0005365277,0.00004935327,0.67878544,0.000033071905,0.00013427903,0.00000674544,0.022336176,0.000091041366,0.00002616451,0.006309691,0.29093567,0.00075587473],"about_ca_topic_score_codex":0.9829805,"about_ca_topic_score_gemma":0.99991536,"teacher_disagreement_score":0.28397352,"about_ca_system_score_codex":0.00040714623,"about_ca_system_score_gemma":0.0006088028,"threshold_uncertainty_score":0.9997018},"labels":[],"label_agreement":null},{"id":"W1990797434","doi":"10.3917/reru.052.0163","title":"Distances, interactions et analyse spatiale de la ville : le cas de montréal","year":2005,"lang":"fr","type":"article","venue":"Revue d’Économie Régionale & Urbaine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Humanities; Physics; Geography; Art","score_opus":0.015886278086364974,"score_gpt":0.2849000816457358,"score_spread":0.2690138035593709,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1990797434","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84096724,0.026278045,0.0038141469,0.08616824,0.00060869317,0.00032566523,0.00028587438,0.00010451429,0.04144756],"genre_scores_gemma":[0.9322815,0.0018878512,0.0046492964,0.0007977608,0.0020614467,0.00004896725,0.00009783278,0.000035308327,0.058140032],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99755996,0.00047318146,0.0006159922,0.00054173596,0.00015567643,0.00065342],"domain_scores_gemma":[0.998164,0.0006867516,0.00028456052,0.0003785263,0.0000952979,0.00039084724],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010688079,0.00029345928,0.00045510204,0.00010320197,0.0005057455,0.00013977927,0.00039797914,0.00023434067,0.0014160764],"category_scores_gemma":[0.00013912511,0.00034579102,0.00039950476,0.00039435906,0.0006740733,0.0008959384,0.00004986903,0.0004987838,0.00013636354],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018888447,0.0023187976,0.7786445,0.00020998121,0.00040692478,0.00015958711,0.021478599,0.0112344,0.00033655026,0.1119019,0.021043545,0.052076355],"study_design_scores_gemma":[0.00064350985,0.000031038788,0.11616106,0.00012611736,0.00016519595,0.000023148094,0.0010278474,0.0071186773,0.00013485998,0.005135709,0.86902493,0.000407875],"about_ca_topic_score_codex":0.078315966,"about_ca_topic_score_gemma":0.36559552,"teacher_disagreement_score":0.8479814,"about_ca_system_score_codex":0.0020292257,"about_ca_system_score_gemma":0.0011726214,"threshold_uncertainty_score":0.9998994},"labels":[],"label_agreement":null},{"id":"W1990970668","doi":"10.1249/01.mss.0000210208.63565.73","title":"Active Commuting to School","year":2006,"lang":"en","type":"article","venue":"Medicine & Science in Sports & Exercise","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":549,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Heart, Lung, and Blood Institute","keywords":"Walkability; Odds; Built environment; Psychological intervention; Environmental health; Logistic regression; Odds ratio; Psychology; Demography; Level design; Physical activity; Household income; Medicine; Geography; Sociology; Ecology; Physical therapy","score_opus":0.017900097200852807,"score_gpt":0.31689735029674865,"score_spread":0.29899725309589587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1990970668","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9192855,0.00003554841,0.00003499384,0.0028940989,0.000558197,0.00048620766,0.000001292161,0.000084889805,0.076619275],"genre_scores_gemma":[0.9974032,0.000023373552,0.00027801638,0.00035605548,0.0004124663,0.000025787167,0.0000032881674,0.000007759389,0.001490071],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9967998,0.000034300705,0.00045267565,0.00054334867,0.0014252065,0.0007446686],"domain_scores_gemma":[0.99885005,0.00006025823,0.000117425094,0.00038162075,0.00018767228,0.0004029771],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003445048,0.000152032,0.0003192019,0.0003982709,0.0007980786,0.000059224105,0.0008562008,0.000059778493,0.001290784],"category_scores_gemma":[0.0003869024,0.00012671693,0.000037865568,0.0030371877,0.0019924964,0.001103846,0.000061914536,0.00024059275,0.000034481218],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016529984,0.00006301172,0.968809,0.0000041110507,4.0839435e-8,0.00003687991,0.005296666,0.000017897657,0.00011412367,0.00011164985,0.00066265406,0.024867415],"study_design_scores_gemma":[0.00019945866,0.000018252955,0.9837155,0.00019912377,0.000008436811,2.6229665e-7,0.0055770753,0.0000110014935,0.000044101995,0.0017467472,0.00832256,0.00015751737],"about_ca_topic_score_codex":0.033901487,"about_ca_topic_score_gemma":0.009172808,"teacher_disagreement_score":0.07811768,"about_ca_system_score_codex":0.0003051593,"about_ca_system_score_gemma":0.0006136972,"threshold_uncertainty_score":0.99962217},"labels":[],"label_agreement":null},{"id":"W1991376117","doi":"10.1016/j.compenvurbsys.2008.10.004","title":"IMPACT: An integrated GIS-based model for simulating the consequences of demographic changes and population ageing on transportation","year":2008,"lang":"en","type":"article","venue":"Computers Environment and Urban Systems","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Metropolitan area; TRIPS architecture; Population; Population ageing; Transportation planning; Geographic information system; Transport engineering; Census; Geography; Urban planning; Work (physics); Engineering; Civil engineering; Demography; Cartography","score_opus":0.04497185270456908,"score_gpt":0.27484415738186213,"score_spread":0.22987230467729305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1991376117","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9698796,0.00027873158,0.029131753,0.00009371095,0.00005824755,0.0005008835,0.000028514261,0.000022413346,0.00000614722],"genre_scores_gemma":[0.9994902,0.0000362008,0.00029501424,0.000021741356,0.000049699756,0.000016985116,0.000063782136,0.000006587007,0.000019807441],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992058,0.0000812119,0.00020217143,0.00020027313,0.00017538815,0.00013511341],"domain_scores_gemma":[0.99956495,0.00011661999,0.0001495983,0.00009354626,0.000013888565,0.0000613833],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031502655,0.00010496242,0.00016507678,0.00005343483,0.00043358243,0.00003145344,0.00007761879,0.00005963419,0.000001372264],"category_scores_gemma":[0.0000046215373,0.00007421699,0.00004241435,0.0000689077,0.0003077108,0.00013070149,0.0000014984988,0.00004777431,4.3976502e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038461025,0.000034608103,0.93555313,0.00003807447,0.000014021776,9.574809e-7,0.00706008,0.055294946,0.00021108697,0.00019406622,0.000011064703,0.001549496],"study_design_scores_gemma":[0.00033068875,0.00014741115,0.5853445,0.0000634005,0.000026333822,1.297761e-7,0.00062193366,0.41319245,0.00002096111,0.00008496645,0.000055583194,0.00011164309],"about_ca_topic_score_codex":0.001719345,"about_ca_topic_score_gemma":0.00059946376,"teacher_disagreement_score":0.35789752,"about_ca_system_score_codex":0.00002699775,"about_ca_system_score_gemma":0.000019269144,"threshold_uncertainty_score":0.33348095},"labels":[],"label_agreement":null},{"id":"W1992141090","doi":"10.1016/j.ypmed.2013.06.014","title":"Environmental and demographic correlates of bicycling","year":2013,"lang":"en","type":"article","venue":"Preventive Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":139,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Heart, Lung, and Blood Institute; National Institutes of Health","keywords":"Walkability; Cycling; Ethnic group; Medicine; Level design; Demography; Built environment; Occupational safety and health; Poison control; Human factors and ergonomics; Injury prevention; Gerontology; Suicide prevention; Environmental health; Physical activity; Geography; Engineering; Physical therapy","score_opus":0.012258535594280837,"score_gpt":0.2691947290015588,"score_spread":0.2569361934072779,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1992141090","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944424,0.0017662165,0.000104598796,0.0004219825,0.00009080421,0.00021462992,0.0000015364805,0.000012740836,0.00294511],"genre_scores_gemma":[0.9990921,0.0002550321,0.00006499522,0.00002479474,0.00006662989,0.000007150222,0.0000031092088,0.0000030578226,0.00048313927],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99938154,0.0000581531,0.00016313345,0.00011993086,0.00016258657,0.00011464796],"domain_scores_gemma":[0.99969,0.00009305557,0.000073093564,0.00006162631,0.000013321226,0.00006892053],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00032247984,0.000053485568,0.00012952508,0.000044469125,0.00010026618,0.000003911962,0.00007536002,0.000034154644,0.0018086103],"category_scores_gemma":[0.000042770116,0.000040572726,0.000026718262,0.00008451871,0.0008744022,0.00013824827,0.00001305705,0.00006234782,0.000008204639],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000022440443,0.00002845264,0.98614943,0.000009229202,0.000012071689,3.4977393e-7,0.0039620665,3.8499465e-8,0.0015569006,0.00019109724,0.000044473647,0.008043668],"study_design_scores_gemma":[0.00021226217,0.000035340734,0.98850787,0.000044453736,0.000029141409,7.3034975e-8,0.0029012037,0.000008002393,0.00012671223,0.0078160595,0.00027574546,0.000043116324],"about_ca_topic_score_codex":0.0013266908,"about_ca_topic_score_gemma":0.00014293208,"teacher_disagreement_score":0.008000552,"about_ca_system_score_codex":0.000007906866,"about_ca_system_score_gemma":0.0000079971505,"threshold_uncertainty_score":0.99910384},"labels":[],"label_agreement":null},{"id":"W1992591097","doi":"10.1016/j.respe.2013.05.017","title":"Neighborhood environments, mobility, and health: Towards a new generation of studies in environmental health research","year":2013,"lang":"en","type":"article","venue":"Revue d Épidémiologie et de Santé Publique","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":41,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Public health; Disadvantaged; Environmental health; Environmental planning; Transportation planning; Business; Public transport; Built environment; Intervention (counseling); Population; Urban planning; Transport engineering; Geography; Psychology; Medicine; Economic growth; Engineering; Economics","score_opus":0.3179087659789108,"score_gpt":0.4699628284390932,"score_spread":0.15205406246018238,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1992591097","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9616584,0.010045445,0.00035487794,0.026147561,0.000108663815,0.0011558451,0.000015584728,0.000027056221,0.00048652303],"genre_scores_gemma":[0.98131174,0.016108338,0.0009645047,0.0010326192,0.00021939045,0.00009474903,0.000027071912,0.000010057638,0.00023152446],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99598825,0.001962782,0.000612543,0.00047624644,0.000289222,0.00067092734],"domain_scores_gemma":[0.9988946,0.00032544282,0.00019841151,0.00028491038,0.00002597112,0.00027070538],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009190784,0.00014249963,0.00045338686,0.00015495726,0.00023266066,0.00004890826,0.0002819863,0.00016144766,0.00010887095],"category_scores_gemma":[0.00063553633,0.00013034811,0.00005577724,0.00026292313,0.0006746883,0.0005424857,0.00012785588,0.00040475294,0.0000049639766],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009433005,0.0002900386,0.93802184,0.00014729353,0.000020384921,0.0000019538932,0.016536579,0.000015610041,0.00048695251,0.0032671306,0.0021515142,0.03905129],"study_design_scores_gemma":[0.00027937774,0.00024150309,0.9811357,0.00006118505,0.0000019930956,8.2119965e-7,0.0040303315,0.00007596593,0.00010609092,0.012499451,0.0014456068,0.000121941965],"about_ca_topic_score_codex":0.020925567,"about_ca_topic_score_gemma":0.006601626,"teacher_disagreement_score":0.04311391,"about_ca_system_score_codex":0.0010601629,"about_ca_system_score_gemma":0.0013152297,"threshold_uncertainty_score":0.98559415},"labels":[],"label_agreement":null},{"id":"W1993041245","doi":"10.1016/j.tranpol.2012.03.004","title":"The school run: Exploring carpooling as an intervention option in the Greater Toronto and Hamilton Area (GTHA), Canada","year":2012,"lang":"en","type":"article","venue":"Transport Policy","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"Transport Canada","keywords":"Carpool; Sample (material); Schedule; Mode choice; Quarter (Canadian coin); Transport engineering; Travel behavior; Geography; Psychology; Engineering; Public transport; Computer science","score_opus":0.053006392511674355,"score_gpt":0.31966032215353424,"score_spread":0.26665392964185985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993041245","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99323034,0.00053678657,0.000022568332,0.0007027495,0.00020462106,0.00026721563,0.0000074523023,0.000028746988,0.0049995203],"genre_scores_gemma":[0.99863404,0.0002512031,0.000009593645,0.00017834111,0.0005860516,0.00005942145,0.000015147835,0.000009389788,0.0002568104],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986313,0.00012712713,0.0002688607,0.00017530365,0.00033092024,0.00046646298],"domain_scores_gemma":[0.99947876,0.000036390145,0.000057490608,0.00021868489,0.000028230355,0.00018042623],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001107909,0.00012212255,0.00011693905,0.000026409183,0.00056853646,0.000070588525,0.00027889584,0.000057820165,0.000081789505],"category_scores_gemma":[0.000019187222,0.00007997676,0.000055348202,0.0001515631,0.00012048117,0.0012851476,0.00000403208,0.00014578196,0.000001736718],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036261612,0.00004623581,0.94371814,0.000015315567,0.000009372636,0.0000042892734,0.04675012,0.0000035074754,0.00001889096,0.004802487,0.000016011163,0.0045793774],"study_design_scores_gemma":[0.00018832916,0.000017220149,0.973335,0.000026490787,0.000018946512,6.661911e-7,0.015269834,0.000004754239,0.00004844362,0.00035524508,0.010620898,0.00011416786],"about_ca_topic_score_codex":0.97438073,"about_ca_topic_score_gemma":0.99221843,"teacher_disagreement_score":0.031480286,"about_ca_system_score_codex":0.00035310115,"about_ca_system_score_gemma":0.0002497679,"threshold_uncertainty_score":0.43727803},"labels":[],"label_agreement":null},{"id":"W1993085548","doi":"10.1016/j.tra.2013.09.010","title":"Driving out of choices: An investigation of transport modality in a university sample","year":2013,"lang":"en","type":"article","venue":"Transportation Research Part A Policy and Practice","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":77,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"McMaster University","keywords":"Modality (human–computer interaction); Ordered probit; Mode (computer interface); Sample (material); Mode choice; Order (exchange); Diversity (politics); Travel behavior; Probit model; Transport engineering; Computer science; Business; Marketing; Psychology; Public transport; Economics; Econometrics; Engineering; Artificial intelligence; Sociology; Human–computer interaction; Finance","score_opus":0.15793071984413348,"score_gpt":0.4405157438911311,"score_spread":0.2825850240469976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993085548","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99375904,0.000021142017,0.00021705017,0.002769107,0.00001911046,0.00047629763,0.00006782462,0.000017963464,0.002652454],"genre_scores_gemma":[0.9987101,0.00019745088,0.0007625655,0.000039993152,0.000052915027,0.000008776597,0.000058952857,0.0000053118165,0.00016394613],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99757737,0.0009516005,0.0003717416,0.00024216791,0.000567805,0.0002892977],"domain_scores_gemma":[0.9971515,0.0018027254,0.0001746048,0.00016730266,0.00049724116,0.0002066375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034536393,0.00007753379,0.00018581361,0.0002563878,0.0002130596,0.00001911057,0.00018816796,0.00011015895,0.00016705731],"category_scores_gemma":[0.0006947289,0.00008420013,0.000038223465,0.0008621504,0.0007765755,0.0024022793,0.000002654505,0.00024073073,0.0000017711287],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012800009,0.00014316235,0.9215108,0.00010990687,0.000012740935,0.0000022223044,0.05687064,0.000017998407,0.00071227376,0.019853206,0.00001076719,0.0006282526],"study_design_scores_gemma":[0.0003524091,0.000062967185,0.9763532,0.00004424424,0.0000169704,2.461676e-8,0.01213922,0.00003530005,0.00023200992,0.0061981897,0.004482537,0.00008292172],"about_ca_topic_score_codex":0.3895514,"about_ca_topic_score_gemma":0.21645759,"teacher_disagreement_score":0.17309381,"about_ca_system_score_codex":0.00004976501,"about_ca_system_score_gemma":0.0006023501,"threshold_uncertainty_score":0.79784},"labels":[],"label_agreement":null},{"id":"W1993264974","doi":"10.1007/s11116-008-9178-4","title":"Exploring spatial variety in patterns of activity-travel behaviour: initial results from the Toronto Travel-Activity Panel Survey (TTAPS)","year":2008,"lang":"en","type":"article","venue":"Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":145,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"York University; University of Toronto","funders":"","keywords":"Travel behavior; Travel survey; Destinations; Geography; Flexibility (engineering); Variety (cybernetics); Transport engineering; Economic geography; Tourism; Computer science; Engineering; Statistics","score_opus":0.2140201163857779,"score_gpt":0.3281905773506975,"score_spread":0.11417046096491962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993264974","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9938444,0.000013445691,0.0033846332,0.000097748925,0.00033285114,0.0003879669,0.0016134175,0.000033757053,0.00029177594],"genre_scores_gemma":[0.99906087,0.00013250254,0.000033688837,0.000013551085,0.00016328366,0.00003307897,0.00052096415,0.000015611604,0.000026454352],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977979,0.00038656176,0.0005041515,0.00041116847,0.0005841239,0.00031610526],"domain_scores_gemma":[0.99886745,0.00042940865,0.00024318928,0.00026769718,0.00010372892,0.00008853587],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00104398,0.00018008925,0.00031724005,0.000026539565,0.00030954246,0.000019913423,0.00027794734,0.00013994238,0.00012977945],"category_scores_gemma":[0.000058905567,0.00016288842,0.00012111192,0.00019562342,0.0002022552,0.0011550101,0.0000029905996,0.0002523601,0.0000012834321],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00063114805,0.00030639538,0.92632675,0.000008071169,0.000013567314,0.000014467459,0.06860034,0.000015739874,0.00071759225,0.000029867913,0.0000025021156,0.003333553],"study_design_scores_gemma":[0.0009842078,0.00003938974,0.9916997,0.000026724934,0.000030721276,5.146066e-8,0.0021890157,0.000017155393,0.0047957227,0.000030156598,0.000009012119,0.00017815358],"about_ca_topic_score_codex":0.8513936,"about_ca_topic_score_gemma":0.9307573,"teacher_disagreement_score":0.07936367,"about_ca_system_score_codex":0.00012228884,"about_ca_system_score_gemma":0.00022079413,"threshold_uncertainty_score":0.6642397},"labels":[],"label_agreement":null},{"id":"W1993318848","doi":"10.1177/0013916511409033","title":"The Effects of Weather on Walking Rates in Nine Cities","year":2011,"lang":"en","type":"article","venue":"Environment and Behavior","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":97,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; McGill University","funders":"","keywords":"Precipitation; Environmental science; Poisson regression; Meteorology; Sunlight; Air temperature; Snow; Atmospheric sciences; Regression analysis; Geography; Statistics; Demography; Mathematics","score_opus":0.018204232721018343,"score_gpt":0.2508410329417554,"score_spread":0.23263680022073707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993318848","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972991,0.00033042397,9.588874e-7,0.000025931491,0.00006294272,0.00015130348,6.2706596e-7,0.0000048952143,0.002123848],"genre_scores_gemma":[0.9979037,0.00021240958,0.000019074832,0.000007924391,0.000018116987,0.000023824998,4.6712438e-7,0.0000028216232,0.0018116551],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995938,0.000037383368,0.00008243539,0.0000826662,0.00010121998,0.00010247916],"domain_scores_gemma":[0.9998198,0.00006312727,0.000028138247,0.00006762413,0.0000011996846,0.000020097516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017469963,0.00004526932,0.00005946166,0.00001279375,0.0001218532,0.000007651054,0.00006901174,0.000028195027,0.0002469187],"category_scores_gemma":[0.0000062570175,0.000029403769,0.00001906444,0.000022135053,0.00025690437,0.00004920567,0.0000092253795,0.000044346714,0.000003221612],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008470714,0.00010772512,0.9817267,0.0000042093143,0.0000013532912,0.0000027263022,0.006403777,2.1034941e-8,0.00063512934,0.00020869011,0.000006143936,0.010895027],"study_design_scores_gemma":[0.000119974684,0.000048135025,0.99354726,0.000012194697,0.000015661155,1.1175321e-8,0.00080393814,1.3571308e-7,0.0047196527,0.00018222863,0.00051065016,0.000040146617],"about_ca_topic_score_codex":0.00044095618,"about_ca_topic_score_gemma":0.00033676522,"teacher_disagreement_score":0.011820544,"about_ca_system_score_codex":0.000012663078,"about_ca_system_score_gemma":0.0000036258664,"threshold_uncertainty_score":0.27035868},"labels":[],"label_agreement":null},{"id":"W1993510808","doi":"10.1136/ip.2010.029215.575","title":"Operation Headway: a multifaceted bike helmet promotion program","year":2010,"lang":"en","type":"article","venue":"Injury Prevention","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Headway; Poison control; Suicide prevention; Injury prevention; Promotion (chess); Transport engineering; Human factors and ergonomics; Engineering; Occupational safety and health; Forensic engineering; Aeronautics; Medical emergency; Medicine; Political science","score_opus":0.028761173346245655,"score_gpt":0.38575965201339163,"score_spread":0.35699847866714596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993510808","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9934316,0.000010666522,0.00085243146,0.0006214715,0.0007734613,0.0012410929,0.000008211222,0.00036018685,0.0027008737],"genre_scores_gemma":[0.9937341,0.000005534335,0.0031513365,0.00001941542,0.000323565,0.00016055092,0.00009859377,0.00000965884,0.0024972449],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99879915,0.00015742503,0.00024830014,0.00027225623,0.000292711,0.00023018495],"domain_scores_gemma":[0.99949765,0.000011558744,0.00009554423,0.00018950112,0.00011495284,0.0000908019],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009030215,0.00009532797,0.0001060988,0.000066799286,0.00042235726,0.00015180449,0.00015611363,0.00016883061,0.00077916315],"category_scores_gemma":[0.00007934918,0.00009263506,0.000088927976,0.00026764543,0.00013194345,0.0007606751,0.00001268078,0.00021826783,0.00008481917],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000066664994,0.0017089407,0.12602656,0.000040009938,0.000021899086,0.0000014600085,0.0030529597,0.0000016352877,0.06392815,0.0025615243,0.0004303794,0.80215985],"study_design_scores_gemma":[0.0015176262,0.0010640176,0.81103855,0.00011359062,0.00012707397,9.2500716e-7,0.00083457574,0.0012501314,0.037719946,0.017237857,0.1282139,0.0008818097],"about_ca_topic_score_codex":0.00061602035,"about_ca_topic_score_gemma":0.007412994,"teacher_disagreement_score":0.801278,"about_ca_system_score_codex":0.000038469312,"about_ca_system_score_gemma":0.000117553005,"threshold_uncertainty_score":0.85312897},"labels":[],"label_agreement":null},{"id":"W1993576193","doi":"10.1353/cja.2007.0002","title":"Access to Bathtub Grab Bars: Evidence of a Policy Gap","year":2006,"lang":"en","type":"article","venue":"Canadian Journal on Aging / La Revue canadienne du vieillissement","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Public Health; University of Ottawa","funders":"Canadian Institutes of Health Research","keywords":"Bathtub; Apartment; Bathing; Falling (accident); Balance (ability); Business; Engineering; Medicine; Environmental health; Geography; Physical medicine and rehabilitation; Civil engineering; Archaeology","score_opus":0.03181994766513712,"score_gpt":0.2976273307918136,"score_spread":0.26580738312667646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993576193","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9598097,0.0005866531,0.00013218744,0.028035047,0.000674832,0.00036927,0.000042485288,0.000020934258,0.010328873],"genre_scores_gemma":[0.9961726,0.00007607728,0.0001314862,0.0013772196,0.0011942247,0.000016642642,0.000005167697,0.00002669608,0.0009998644],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99735886,0.00022870109,0.0006283299,0.00039078773,0.00026210968,0.0011312347],"domain_scores_gemma":[0.99648994,0.00019133072,0.0002640876,0.00035917928,0.00038340027,0.002312044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018241759,0.00023657635,0.00035819318,0.00081376976,0.0008727286,0.00047385515,0.0011196976,0.00010049582,0.00056045986],"category_scores_gemma":[0.00075816206,0.00024280627,0.00018099854,0.0011579806,0.00023709673,0.0005848523,0.000021603035,0.00033597002,0.000013142172],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045790457,0.0001134492,0.877421,0.00019915143,0.000079508034,0.0014288827,0.02662874,0.0017030749,0.00024013438,0.05582818,0.021756163,0.01455589],"study_design_scores_gemma":[0.00046465418,0.00021001941,0.58187956,0.0023331412,0.00007103086,0.000035373425,0.0025332647,0.000029130108,0.00021364896,0.004840158,0.4066624,0.0007276372],"about_ca_topic_score_codex":0.75058705,"about_ca_topic_score_gemma":0.9753282,"teacher_disagreement_score":0.38490623,"about_ca_system_score_codex":0.002185183,"about_ca_system_score_gemma":0.0034268438,"threshold_uncertainty_score":0.99013525},"labels":[],"label_agreement":null},{"id":"W1993847905","doi":"10.2165/00007256-200838090-00004","title":"Is Active Commuting the Answer to Population Health?","year":2008,"lang":"en","type":"review","venue":"Sports Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":267,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Public Health Ontario","funders":"","keywords":"Cycling; Medicine; Population; Injury prevention; Occupational safety and health; Pedestrian; Poison control; Gerontology; Demography; Environmental health; Energy expenditure; Geography; Transport engineering; Engineering","score_opus":0.09192777555652455,"score_gpt":0.4341835216419272,"score_spread":0.34225574608540266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993847905","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0001332817,0.98203355,0.000008528713,0.008465788,0.0008184888,0.001327352,0.000013439263,0.000065978405,0.00713359],"genre_scores_gemma":[0.0023972073,0.9919427,0.000020787818,0.0023969728,0.0015829256,0.000020366166,0.00016912328,0.00002244033,0.0014474664],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975193,0.00020067084,0.0007202802,0.00037103562,0.0007935853,0.00039512932],"domain_scores_gemma":[0.99856085,0.00014619762,0.0005324432,0.00045388742,0.00007376604,0.0002328535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001113689,0.0002492299,0.00115985,0.000109524706,0.0008564287,0.000011805865,0.00043039638,0.00017303013,0.0008445353],"category_scores_gemma":[0.000109887216,0.00014203622,0.00020060876,0.0007539151,0.0003010467,0.00009583205,0.000022734383,0.00043111245,0.000019913867],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000021113267,0.0000142637,0.0038537,0.00051217043,0.000015323432,0.0000070961214,0.012775665,3.7503376e-8,9.928878e-10,0.000084159445,0.012546628,0.97018886],"study_design_scores_gemma":[0.000048362715,0.000018350573,0.01812604,0.0058020204,0.00008375153,0.0000013868519,0.0009902291,7.272623e-8,1.0146995e-8,0.000109937064,0.97468513,0.00013473452],"about_ca_topic_score_codex":0.023310078,"about_ca_topic_score_gemma":0.0030631018,"teacher_disagreement_score":0.9700541,"about_ca_system_score_codex":0.00025955538,"about_ca_system_score_gemma":0.00051886693,"threshold_uncertainty_score":0.98319376},"labels":[],"label_agreement":null},{"id":"W1993949338","doi":"10.3141/2134-10","title":"Investigation of Planning Priority of Joint Activities in Household Activity-Scheduling Process","year":2009,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Wilfrid Laurier University; McMaster University","funders":"","keywords":"Scheduling (production processes); Operations research; Computer science; Replicate; Operations management; Economics; Engineering; Mathematics; Statistics","score_opus":0.19058807432142744,"score_gpt":0.42657711102624357,"score_spread":0.23598903670481614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993949338","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964094,0.00016416248,0.0004018978,0.0017427297,0.00017775525,0.00082793954,0.00003377587,0.000018425679,0.00022391137],"genre_scores_gemma":[0.9987271,0.0002450667,0.00079420756,0.00001416239,0.00011216303,0.000015756757,0.000005290412,0.000019590447,0.00006665136],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9921455,0.0014351386,0.0015385065,0.00033190343,0.0038458107,0.0007031365],"domain_scores_gemma":[0.99572796,0.00075330754,0.0009191948,0.00031267075,0.0020222492,0.00026460143],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008504864,0.00018918459,0.0006048581,0.0011801829,0.00046475732,0.00006209593,0.00087143725,0.00023489613,0.000058227],"category_scores_gemma":[0.00030432144,0.00015869534,0.00031169804,0.0029102382,0.0012478678,0.001419905,0.0000030621688,0.0019250531,4.278585e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010849336,0.00025000027,0.937549,0.00036360126,0.00003698,0.00002413321,0.03367613,0.0021169146,0.021267625,0.0010012802,0.00004303805,0.0025863654],"study_design_scores_gemma":[0.0008694324,0.00035413564,0.95263183,0.0008003049,0.000026052898,3.8212875e-8,0.008741517,0.000044177854,0.027830824,0.008494036,0.00007662377,0.00013101357],"about_ca_topic_score_codex":0.01715623,"about_ca_topic_score_gemma":0.045305196,"teacher_disagreement_score":0.028148968,"about_ca_system_score_codex":0.0002306202,"about_ca_system_score_gemma":0.0016727111,"threshold_uncertainty_score":0.9893886},"labels":[],"label_agreement":null},{"id":"W1993994795","doi":"10.3141/2468-12","title":"Incorporating Weather","year":2014,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mining Association of Canada; McGill University","funders":"","keywords":"Term (time); Statistics; Cycling; Estimation; Environmental science; Econometrics; Computer science; Mathematics; Geography; Engineering","score_opus":0.10122201040367498,"score_gpt":0.4173389955498912,"score_spread":0.3161169851462162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993994795","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98460567,0.0001302601,0.0022156127,0.0067394706,0.0007755983,0.0008010676,0.000020004152,0.000049094073,0.00466322],"genre_scores_gemma":[0.9951766,0.00019796443,0.0016489542,0.000083088824,0.0006981904,0.000036945406,0.000008179317,0.000045665678,0.0021044123],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9887052,0.0031538822,0.0014376036,0.00043567357,0.0051989015,0.0010687447],"domain_scores_gemma":[0.9925897,0.0015159971,0.0005814333,0.00053158955,0.0042244443,0.00055680244],"candidate_categories":["sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.014626857,0.00022432007,0.00045421955,0.0007439708,0.001976216,0.0002514196,0.0017503015,0.0002603557,0.00074854074],"category_scores_gemma":[0.0006008621,0.0001685969,0.00046337064,0.0027667815,0.0018593873,0.0010556085,0.0000062265476,0.0023919353,0.00004493],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044827117,0.00023544276,0.94696414,0.00010676096,0.0000664958,0.000029508898,0.008739897,0.00015326194,0.0009648682,0.027662346,0.0037499983,0.010879027],"study_design_scores_gemma":[0.00091819227,0.00026952603,0.8879869,0.00022094397,0.000036608373,4.5736794e-8,0.0043427213,0.000041173476,0.00045283523,0.02496738,0.08056866,0.00019499453],"about_ca_topic_score_codex":0.039300464,"about_ca_topic_score_gemma":0.25937605,"teacher_disagreement_score":0.22007558,"about_ca_system_score_codex":0.00027767412,"about_ca_system_score_gemma":0.0010929799,"threshold_uncertainty_score":0.9999096},"labels":[],"label_agreement":null},{"id":"W1994049780","doi":"10.7202/044393ar","title":"La mobilité des enfants à l’épreuve de la rue","year":2010,"lang":"fr","type":"article","venue":"Enfances Familles Générations","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.02300934852927256,"score_gpt":0.3412414283480577,"score_spread":0.31823207981878515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1994049780","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.67783153,0.0020696558,0.00042012896,0.000374056,0.0012598919,0.00022424747,0.000110837245,0.00011276437,0.3175969],"genre_scores_gemma":[0.97771543,0.001002118,0.0029358207,0.00013130343,0.0009071248,0.00008708429,0.000026152713,0.000029167793,0.017165791],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99700266,0.0009559818,0.0004646081,0.0005205937,0.00038046032,0.0006756728],"domain_scores_gemma":[0.9974875,0.0014516808,0.00015963052,0.000452247,0.00013265458,0.00031631478],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0019666147,0.00027962108,0.00030299884,0.00008062016,0.0012639009,0.000298273,0.00061264203,0.0008151419,0.0012742874],"category_scores_gemma":[0.0004743237,0.00029627688,0.00022726005,0.00073695503,0.0048614936,0.0009529796,0.00004750717,0.001199536,0.00014049973],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015848153,0.00058900134,0.6905064,0.00009491245,0.0000702925,0.000023528506,0.07558979,0.00006600724,0.0023356017,0.19322075,0.0009562606,0.03653161],"study_design_scores_gemma":[0.0004677676,0.000055588684,0.62072664,0.00012197997,0.0001379819,0.0000074429468,0.018501628,0.00033801515,0.0010165941,0.09837629,0.25961882,0.0006312434],"about_ca_topic_score_codex":0.006411104,"about_ca_topic_score_gemma":0.050834563,"teacher_disagreement_score":0.3004311,"about_ca_system_score_codex":0.000106627755,"about_ca_system_score_gemma":0.0006210613,"threshold_uncertainty_score":0.9999489},"labels":[],"label_agreement":null},{"id":"W1994430488","doi":"10.1016/j.smr.2014.07.003","title":"Urban sportscapes: An environmental deterministic perspective on the management of youth sport participation","year":2014,"lang":"en","type":"article","venue":"Sport Management Review","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Toronto Metropolitan University","funders":"","keywords":"Perspective (graphical); Attractiveness; Work (physics); Sociology; Sport management; Public relations; Citizen journalism; Political science; Psychology; Computer science; Engineering","score_opus":0.026784774908030818,"score_gpt":0.31046091373931417,"score_spread":0.28367613883128334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1994430488","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7588985,0.0024659745,0.00009239388,0.00057349564,0.00023752202,0.0028204669,0.000014199938,0.000097493416,0.23479997],"genre_scores_gemma":[0.9909451,0.0068230703,0.00009892669,0.00054884155,0.00009264592,0.000105164545,0.00007512727,0.00001697908,0.0012941599],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997758,0.00006349706,0.00057642587,0.00050572545,0.00074540166,0.00035097613],"domain_scores_gemma":[0.99873817,0.000011714554,0.00035815345,0.00074068306,0.000026569054,0.00012472304],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00186051,0.00021980917,0.00038347646,0.000053742286,0.00033459568,0.000030662708,0.0005238969,0.000040694365,0.0007334216],"category_scores_gemma":[0.000004431521,0.00016274498,0.00018169994,0.00026641405,0.00027020084,0.0002036441,0.000050172443,0.00010266668,0.000067170084],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005940971,0.0011318291,0.54332095,0.002368079,0.0002684213,0.00006981167,0.0049448735,0.000006343861,6.102982e-7,0.40859884,0.00043083818,0.038800005],"study_design_scores_gemma":[0.00030806492,0.00015650071,0.85164046,0.0020143343,0.0014481643,1.5346505e-7,0.017740231,0.000018292481,0.000009469511,0.0011842597,0.12503727,0.00044282255],"about_ca_topic_score_codex":0.00020081749,"about_ca_topic_score_gemma":0.00010408463,"teacher_disagreement_score":0.40741456,"about_ca_system_score_codex":0.0001390164,"about_ca_system_score_gemma":0.000011734414,"threshold_uncertainty_score":0.8030452},"labels":[],"label_agreement":null},{"id":"W1995624436","doi":"10.1016/s1353-8292(01)00021-1","title":"The safe journeys of an enterprising school: negotiating landscapes of opportunity and risk","year":2001,"lang":"en","type":"article","venue":"Health & Place","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":146,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Negotiation; Incentive; Order (exchange); Action (physics); Public relations; Political science; Economic growth; Business; Psychology; Sociology; Finance; Economics","score_opus":0.028187304189332373,"score_gpt":0.34049752535974587,"score_spread":0.3123102211704135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995624436","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944718,0.0016326383,0.00015067318,0.0010906142,0.00010725731,0.00015201115,0.000011096901,0.000016866474,0.0023670318],"genre_scores_gemma":[0.99579424,0.0036201386,0.00028197747,0.00007300948,0.00009061484,0.000001174331,0.000002536421,0.0000042238808,0.00013209059],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99862117,0.00041406936,0.0003572994,0.00012456364,0.00023562128,0.00024730386],"domain_scores_gemma":[0.9987785,0.00031603844,0.0004012909,0.00014634278,0.000069750255,0.0002880532],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028686007,0.000060687602,0.00016607034,0.000026298578,0.0008208418,0.000042150674,0.00015469134,0.000043729862,0.000057153113],"category_scores_gemma":[0.00039772462,0.00004505505,0.000027554466,0.00014898091,0.0001423675,0.00024174257,0.000014430254,0.00017148818,5.551516e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048107355,0.000042531115,0.9786334,0.000030724474,0.000006372951,9.040072e-7,0.005113405,0.000017247557,0.0000052971704,0.00013941334,0.00016625873,0.015796332],"study_design_scores_gemma":[0.00036591783,0.000116076226,0.9686574,0.000084659645,0.000016636604,0.0000010412415,0.01492233,0.0006399622,0.000017370554,0.00063088746,0.014456452,0.00009132107],"about_ca_topic_score_codex":0.025378697,"about_ca_topic_score_gemma":0.029940853,"teacher_disagreement_score":0.01570501,"about_ca_system_score_codex":0.000035335383,"about_ca_system_score_gemma":0.0005253427,"threshold_uncertainty_score":0.9877602},"labels":[],"label_agreement":null},{"id":"W1995890288","doi":"10.1080/17549175.2011.563958","title":"Creating walkable places: neighbourhood and municipal level perspectives on the socio‐political process in Ottawa, Canada","year":2011,"lang":"en","type":"article","venue":"Journal of Urbanism International Research on Placemaking and Urban Sustainability","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institute of Population and Public Health; Canadian Foundation for Healthcare Improvement; University of Ottawa","funders":"","keywords":"Neighbourhood (mathematics); Politics; Geography; Political process; Environmental planning; Political science; Regional science; Sociology; Economic geography; Law","score_opus":0.09330864502429413,"score_gpt":0.3967984899343027,"score_spread":0.3034898449100086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995890288","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9390537,0.00016497352,0.000017221739,0.006001267,0.00010671947,0.00030554496,0.000014657917,0.0000074351387,0.054328457],"genre_scores_gemma":[0.9985325,0.000017816103,0.00004306163,0.00011492453,0.00022499419,0.000014880553,6.618981e-7,0.000011253754,0.00103995],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9958556,0.0009825547,0.0005351039,0.00035632058,0.0015960668,0.0006743385],"domain_scores_gemma":[0.9949384,0.0028924393,0.00022491913,0.00018375645,0.0014819986,0.00027853003],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.007959084,0.00016396577,0.00027180748,0.00024428437,0.00087848486,0.00019749512,0.0005752688,0.00011568577,0.00025632384],"category_scores_gemma":[0.008403666,0.00011647642,0.000067537076,0.00023544507,0.0010375811,0.00040049118,0.00007300789,0.0013634696,3.7705425e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006099372,0.0003635372,0.47117317,0.000052173884,0.000046298253,0.00009300724,0.06921714,0.000010974069,0.0000022362801,0.4578876,0.00036129914,0.00018264931],"study_design_scores_gemma":[0.0007095683,0.00036216562,0.3718306,0.00017617662,0.000011237714,0.0000051800494,0.5513827,0.00021175473,0.00005039414,0.07395911,0.0011292278,0.0001718522],"about_ca_topic_score_codex":0.22076161,"about_ca_topic_score_gemma":0.13891698,"teacher_disagreement_score":0.48216558,"about_ca_system_score_codex":0.0020315053,"about_ca_system_score_gemma":0.0025510364,"threshold_uncertainty_score":0.999949},"labels":[],"label_agreement":null},{"id":"W1996010365","doi":"10.1007/s12187-011-9129-z","title":"Constructing a Composite Adolescent Health and Wellness Index for British Columbia, Canada Using a Spatial Multi-Criteria Analysis Approach","year":2011,"lang":"en","type":"article","venue":"Child Indicators Research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Composite index; Delphi method; Index (typography); TOPSIS; Psychology; Geography; Strengths and weaknesses; Environmental health; Gerontology; Medicine; Statistics; Social psychology; Composite indicator; Computer science; Mathematics","score_opus":0.08748612899086342,"score_gpt":0.3650045772496396,"score_spread":0.27751844825877614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996010365","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.992928,0.00031879736,0.004441768,0.00008672589,0.00012516558,0.0009689541,0.00016071805,0.000026293339,0.0009435761],"genre_scores_gemma":[0.99810934,0.000020524283,0.0014697294,0.00007920283,0.00016000646,0.00002838647,0.000063402826,0.00001493268,0.00005447174],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971323,0.00047153898,0.00037199832,0.00054423325,0.00070066046,0.00077925134],"domain_scores_gemma":[0.9988647,0.000074153344,0.00014835385,0.00020527911,0.00014213206,0.0005653676],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002040112,0.000097433345,0.00036850793,0.00024556115,0.002552266,0.00039874902,0.0003848477,0.000109574146,0.00013461665],"category_scores_gemma":[0.000113752394,0.00014036648,0.000082769155,0.0014510499,0.0009782441,0.00014764055,0.0000810842,0.00043064702,1.6987678e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002144509,0.00012904903,0.98604107,0.00011708004,0.00009291019,0.000003304886,0.0033690208,3.7601333e-7,8.7500524e-7,0.000017488112,0.000159582,0.01004777],"study_design_scores_gemma":[0.00058651424,0.000023467772,0.98841685,0.00007553989,0.00004312332,0.0000018534249,0.008332758,0.0016761965,0.000016454855,0.000039536455,0.0005904042,0.0001973234],"about_ca_topic_score_codex":0.99393183,"about_ca_topic_score_gemma":0.99584883,"teacher_disagreement_score":0.009850447,"about_ca_system_score_codex":0.00061261473,"about_ca_system_score_gemma":0.002494484,"threshold_uncertainty_score":0.9987463},"labels":[],"label_agreement":null},{"id":"W1996085003","doi":"10.1016/s0899-3289(00)00044-4","title":"Dimensions of alcohol-related social and health consequences in survey research","year":2000,"lang":"en","type":"article","venue":"Journal of Substance Abuse","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":72,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre for Addiction and Mental Health; University of Toronto","funders":"National Institute on Alcohol Abuse and Alcoholism","keywords":"Harm; Alcohol consumption; Consumption (sociology); Psychology; Perspective (graphical); Empirical research; Social psychology; Environmental health; Alcohol; Sociology; Medicine; Computer science; Social science; Mathematics; Statistics","score_opus":0.21599451941381825,"score_gpt":0.44560838373084777,"score_spread":0.22961386431702951,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996085003","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99453306,0.0030133084,8.038106e-7,0.0017408312,0.00006970348,0.00010404694,0.0000075075845,0.0000040555105,0.0005266815],"genre_scores_gemma":[0.99053156,0.00913446,0.000061464336,0.000037883223,0.00003891553,5.6479337e-7,9.1153515e-7,0.000004163953,0.00019005871],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99770135,0.0006886436,0.0006223104,0.00011654721,0.0005780341,0.00029312327],"domain_scores_gemma":[0.99894613,0.00028345638,0.0002574586,0.00006971813,0.00032427412,0.00011898473],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0084125055,0.00005959625,0.00029176637,0.00014505124,0.00030568088,0.000024222745,0.00020540824,0.00007865813,0.00022103601],"category_scores_gemma":[0.000048579896,0.000046093803,0.000048081034,0.00084591284,0.001104094,0.0003591242,0.0000016409731,0.00038163754,0.000001858222],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011412478,0.00011403058,0.9387541,0.000009030003,0.000012087438,0.00002395239,0.058299854,0.00000467089,0.00010162356,0.00018824294,0.00046539656,0.0019129106],"study_design_scores_gemma":[0.0005450343,0.00005421872,0.9926015,0.000114047914,0.00000307634,0.0000011097561,0.002741325,0.0000013764641,0.00005243528,0.003203143,0.0006291777,0.000053516495],"about_ca_topic_score_codex":0.0066228593,"about_ca_topic_score_gemma":0.089278445,"teacher_disagreement_score":0.08265559,"about_ca_system_score_codex":0.000104501436,"about_ca_system_score_gemma":0.00044546687,"threshold_uncertainty_score":0.99999213},"labels":[],"label_agreement":null},{"id":"W1996893592","doi":"10.1177/0042098011423565","title":"Transformative Metropolitan Development Models in Large Canadian Urban Areas: The Predominance of Nodes","year":2011,"lang":"en","type":"article","venue":"Urban Studies","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Popularity; Sustainability; Transformative learning; Urban planning; Scale (ratio); Smart growth; Regional science; Business; Environmental planning; Regional planning; Economic growth; Geography; Political science; Engineering; Economics; Sociology; Civil engineering","score_opus":0.0712094702913579,"score_gpt":0.3006652396792363,"score_spread":0.22945576938787843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996893592","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8879322,0.008953737,0.00016489186,0.00035482427,0.00015590443,0.0005477414,0.00005768174,0.000030012432,0.10180305],"genre_scores_gemma":[0.9987268,0.0001946826,0.00029844075,0.00006379244,0.000032424683,0.000056771714,0.0000022995007,0.000006886319,0.00061790994],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985773,0.000106387306,0.00038212087,0.00019365516,0.00025064574,0.0004899055],"domain_scores_gemma":[0.99942136,0.000071113,0.00009177755,0.00016509791,0.000155012,0.00009564774],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084924727,0.00013943264,0.0002960908,0.00011062988,0.0005431484,0.000011013174,0.0003548885,0.000056304147,0.0000490416],"category_scores_gemma":[0.00005316397,0.000097138094,0.00006520751,0.0003868684,0.0005832783,0.0003621789,0.000018932049,0.00011709997,0.0000039550405],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018180426,0.00006849031,0.5012275,0.00002754913,0.00007307532,0.0000027571568,0.468601,6.8259044e-7,8.2095966e-7,0.028957125,0.0006709719,0.00035184846],"study_design_scores_gemma":[0.0005431091,0.00003222136,0.7165909,0.00013207612,0.000047783982,8.3679694e-8,0.25764975,0.000026865222,0.0006678449,0.013878367,0.0101083815,0.0003226424],"about_ca_topic_score_codex":0.16087693,"about_ca_topic_score_gemma":0.868018,"teacher_disagreement_score":0.70714104,"about_ca_system_score_codex":0.0004586017,"about_ca_system_score_gemma":0.0004216427,"threshold_uncertainty_score":0.8447109},"labels":[],"label_agreement":null},{"id":"W1997400571","doi":"10.3141/1924-11","title":"Gender-Based Analysis of Work Trip Mode Choice of Commuters in Suburban Montreal, Canada, with Stated Preference Data","year":2005,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Preference; Travel behavior; Mode choice; Work (physics); Public transport; Revealed preference; Affect (linguistics); Survey data collection; Demand management; Travel survey; Econometric analysis; Demographic economics; Economics; Psychology; Transport engineering; Engineering; Econometrics","score_opus":0.22736697367768996,"score_gpt":0.42546688938404414,"score_spread":0.19809991570635418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1997400571","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949817,0.00018747097,0.0008225201,0.0023518193,0.00006955287,0.000796022,0.000578798,0.000010231719,0.0002018975],"genre_scores_gemma":[0.99813414,0.00023837016,0.00118219,0.000024072784,0.000053822543,0.000019855408,0.00017919434,0.000023376395,0.00014499902],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99027187,0.0017205508,0.0018154845,0.00046271557,0.004916696,0.0008126839],"domain_scores_gemma":[0.9930168,0.0017560199,0.000816406,0.0009472154,0.0030953796,0.0003682133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0055638473,0.00021558684,0.0007698086,0.0014476003,0.00037175106,0.000056038723,0.002504897,0.00015373029,0.00030963516],"category_scores_gemma":[0.00020899557,0.00016364154,0.00023477772,0.007978817,0.0011280858,0.00086951634,0.000007144195,0.0014101425,4.2321528e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021170173,0.00042670977,0.96587986,0.00013711565,0.00041966533,0.000022763836,0.0053716395,0.021819508,0.00013936844,0.000091556954,0.0010303084,0.0025445048],"study_design_scores_gemma":[0.0015208002,0.00016187565,0.99136025,0.00023184821,0.00028995136,7.1432056e-9,0.0026279113,0.0012920783,0.00037991456,0.00010881458,0.0018734692,0.00015309884],"about_ca_topic_score_codex":0.9455093,"about_ca_topic_score_gemma":0.99890465,"teacher_disagreement_score":0.053395342,"about_ca_system_score_codex":0.00043539228,"about_ca_system_score_gemma":0.004943536,"threshold_uncertainty_score":0.8769621},"labels":[],"label_agreement":null},{"id":"W1997448715","doi":"10.1016/j.landusepol.2005.02.004","title":"Urban containment strategies: A case-study appraisal of plans and policies in Japanese, British, and Canadian cities","year":2005,"lang":"en","type":"article","venue":"Land Use Policy","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":136,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Containment (computer programming); Urban planning; Environmental planning; Control (management); Business; Regional science; Economic growth; Geography; Economics; Civil engineering; Engineering; Computer science; Management","score_opus":0.025704345612982977,"score_gpt":0.31899173810734593,"score_spread":0.293287392494363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1997448715","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99657285,0.00016170864,3.445491e-7,0.0004929951,0.000019656212,0.00023017185,0.00014972218,0.000014456852,0.002358095],"genre_scores_gemma":[0.9993874,0.00005279922,0.0000133317735,0.000105939034,0.00016371197,0.000009459441,0.000003779567,0.000005453993,0.00025815718],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99918324,0.00006212489,0.00018882759,0.00015573615,0.00011162371,0.00029842954],"domain_scores_gemma":[0.9995885,0.000081117716,0.00003669524,0.00008296948,0.000020512634,0.00019019144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019201296,0.00008406329,0.00017842997,0.00013263767,0.00018603666,0.00019095327,0.000072836054,0.000059778697,0.000018529578],"category_scores_gemma":[0.000041803207,0.00008567162,0.000015782378,0.00016539075,0.00026176908,0.0003414963,0.000012595769,0.00007301246,2.8648725e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000048968373,0.000051138682,0.8821577,0.000010887736,0.00000800309,0.000105167186,0.116681114,0.000001427075,8.935204e-7,0.0006836483,0.000053504176,0.00024163719],"study_design_scores_gemma":[0.00049163203,0.000036326623,0.8966774,0.000014008223,0.000008836119,0.00001875404,0.10065797,0.000008764845,8.6246115e-7,0.000052456173,0.0019377057,0.00009533136],"about_ca_topic_score_codex":0.9960596,"about_ca_topic_score_gemma":0.9992646,"teacher_disagreement_score":0.016023144,"about_ca_system_score_codex":0.000058889837,"about_ca_system_score_gemma":0.00035635984,"threshold_uncertainty_score":0.34935874},"labels":[],"label_agreement":null},{"id":"W1997748028","doi":"10.1016/j.aap.2011.12.002","title":"Mapping commuter cycling risk in urban areas","year":2012,"lang":"en","type":"article","venue":"Accident Analysis & Prevention","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":35,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Cycling; Transport engineering; Poison control; Per capita; Injury prevention; Occupational safety and health; Human factors and ergonomics; Suicide prevention; Risk assessment; Collision; Geography; Computer science; Engineering; Environmental health; Computer security; Medicine; Population","score_opus":0.02662282767967404,"score_gpt":0.3283187631502358,"score_spread":0.3016959354705617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1997748028","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99079573,0.0005981328,0.0053868485,0.00012225925,0.00014495185,0.00016905568,1.8794871e-7,0.00005052017,0.00273231],"genre_scores_gemma":[0.99834967,0.000104316096,0.00029762348,0.000030874096,0.00028200762,0.000016196767,0.000049650534,0.0000060807156,0.00086359854],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981481,0.00046552546,0.00043884956,0.00021695184,0.00034674138,0.00038383395],"domain_scores_gemma":[0.9992516,0.00007755576,0.00025226502,0.00026319842,0.00004665865,0.00010874618],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0027439059,0.0001046827,0.0002490307,0.0003806196,0.0003277769,0.000091278926,0.00026261384,0.00013109045,0.0009901237],"category_scores_gemma":[0.00008769347,0.00010619313,0.00037002083,0.0015733058,0.00005056754,0.0010791845,0.000034152672,0.00024130743,0.000043254535],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000042378365,0.00010281095,0.9884732,8.889461e-7,0.00017001656,5.7179324e-7,0.007232045,0.000023259876,0.000009378127,0.00012841295,0.000058449885,0.0037967444],"study_design_scores_gemma":[0.00014229349,0.0000030204258,0.9945204,0.000018035,0.0004442264,2.0569248e-8,0.0017547524,0.000068274014,0.000029427276,0.0020620527,0.00083045283,0.00012701836],"about_ca_topic_score_codex":0.008035308,"about_ca_topic_score_gemma":0.11767901,"teacher_disagreement_score":0.109643705,"about_ca_system_score_codex":0.00013556215,"about_ca_system_score_gemma":0.000025108799,"threshold_uncertainty_score":0.9999231},"labels":[],"label_agreement":null},{"id":"W1998003247","doi":"10.1080/01490400802686045","title":"Association of Parkland Proximity with Neighborhood and Park-based Physical Activity: Variations by Gender and Age","year":2009,"lang":"en","type":"article","venue":"Leisure Sciences","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":305,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Association (psychology); Physical activity; Economic geography; Geography; Demography; Psychology; Sociology; Medicine; Physical medicine and rehabilitation","score_opus":0.020496846311964637,"score_gpt":0.29139661347580503,"score_spread":0.2708997671638404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998003247","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99310356,0.000042679763,0.00073907577,0.0015881207,0.000025453412,0.00019390661,0.000014678047,0.000026328571,0.004266169],"genre_scores_gemma":[0.9995659,0.0000061164633,0.00023648138,0.000032716245,0.00004222267,0.0000037694817,0.0000021174878,0.0000016545763,0.000109009816],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99891615,0.00010605077,0.00007951088,0.0002525206,0.00045118522,0.0001945621],"domain_scores_gemma":[0.99955124,0.00012729292,0.00013177587,0.000064545966,0.00005349889,0.00007165867],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006890983,0.00007676985,0.00015973825,0.000028738696,0.00046584275,0.00011297416,0.00010242936,0.000056472185,0.000008608739],"category_scores_gemma":[0.000059719416,0.000056013425,0.000020127502,0.00035315158,0.00043161417,0.00053488824,0.0000051523984,0.000078512945,1.7420972e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012351054,0.00021754998,0.9931768,0.00000803757,0.000007670223,4.942845e-7,0.0020143928,0.0000029439282,0.00048030875,0.001816127,0.00006733425,0.0021959497],"study_design_scores_gemma":[0.00027563496,0.00013370253,0.9934456,0.000007742532,0.00003459905,4.641174e-8,0.00018415913,0.0004090419,0.00040807144,0.0048180907,0.00018677625,0.0000965533],"about_ca_topic_score_codex":0.00032233106,"about_ca_topic_score_gemma":0.0006658949,"teacher_disagreement_score":0.006462324,"about_ca_system_score_codex":0.000021858577,"about_ca_system_score_gemma":0.00015351824,"threshold_uncertainty_score":0.3582933},"labels":[],"label_agreement":null},{"id":"W1998151010","doi":"10.1007/s11116-011-9323-3","title":"Can rural older drivers meet their needs without a car? Stated adaptation responses from a GPS travel diary survey","year":2011,"lang":"en","type":"article","venue":"Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":56,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"TRIPS architecture; Context (archaeology); Travel behavior; Business; Service (business); Population; Transport engineering; Travel survey; Sample (material); Public transport; Marketing; Geography; Engineering; Medicine; Environmental health","score_opus":0.05834070518472984,"score_gpt":0.27621217601081427,"score_spread":0.21787147082608443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998151010","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945869,0.000044734366,0.0025447318,0.00011428716,0.00023256258,0.00044786217,0.0011863875,0.00015382913,0.0006887389],"genre_scores_gemma":[0.9975257,0.000037221696,0.00029436304,0.000067013956,0.000054719778,0.000027864895,0.0017007544,0.000023782315,0.0002686041],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980913,0.00048216898,0.00040603572,0.0002840329,0.00039536995,0.0003410875],"domain_scores_gemma":[0.9990816,0.00018467811,0.00017179584,0.00019320856,0.00019743679,0.00017126737],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008405633,0.00020353711,0.00025755656,0.00013828755,0.00032359306,0.000039521925,0.00022836313,0.00015950683,0.00046813948],"category_scores_gemma":[0.00003544782,0.0001914234,0.00010343647,0.0005453258,0.00026420457,0.00055639236,0.0000012585801,0.00013140791,0.000006083538],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031204108,0.00006752342,0.72843844,0.0000055176974,0.00003486026,0.000004695805,0.26971108,0.0000061275687,0.0003498093,0.00018995759,0.000025746054,0.00085421064],"study_design_scores_gemma":[0.0006059975,0.000033351596,0.95174134,0.000025689136,0.00007105711,2.7319215e-8,0.04519233,0.00006783055,0.0008773944,0.0011161787,0.000030898285,0.00023790954],"about_ca_topic_score_codex":0.2290262,"about_ca_topic_score_gemma":0.5693952,"teacher_disagreement_score":0.34036902,"about_ca_system_score_codex":0.00007452577,"about_ca_system_score_gemma":0.0003418337,"threshold_uncertainty_score":0.780602},"labels":[],"label_agreement":null},{"id":"W1998491441","doi":"10.1016/j.aap.2008.07.012","title":"Marginal effect of increasing ageing drivers on injury crashes","year":2008,"lang":"en","type":"article","venue":"Accident Analysis & Prevention","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Alberta Motor Association Foundation for Traffic Safety; Social Sciences and Humanities Research Council of Canada; Queensland Government","keywords":"Poison control; Injury prevention; Occupational safety and health; Human factors and ergonomics; Poisson regression; Ageing; Suicide prevention; Population ageing; Forensic engineering; Population; Environmental health; Engineering; Gerontology; Transport engineering; Medicine","score_opus":0.015148402011403439,"score_gpt":0.31971642321247434,"score_spread":0.3045680212010709,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998491441","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996679,0.00006405574,0.00047848618,0.000047182122,0.00006818825,0.00017220281,2.560822e-7,0.00004325013,0.0024473432],"genre_scores_gemma":[0.9991615,0.00008437695,0.00008294999,0.000009795959,0.00008340809,0.000006462327,0.000027821028,0.0000054859115,0.0005382203],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980865,0.0005896695,0.0003280806,0.00026393525,0.00053083326,0.0002009403],"domain_scores_gemma":[0.99924105,0.00016815712,0.00025088957,0.00020614843,0.00006513243,0.00006858917],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015046627,0.00011434471,0.0003247107,0.00031760675,0.00043635396,0.000031156316,0.00022520423,0.00007746762,0.00062721805],"category_scores_gemma":[0.0001433017,0.000106041975,0.00050648046,0.0011051871,0.00014311324,0.00045118484,0.00001995277,0.00010118037,0.000014946683],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009187253,0.000057204426,0.9933681,0.0000028231254,0.0002727085,0.000008291839,0.00073793594,0.000040608393,0.00025482586,0.000052605712,0.000035276247,0.0050777355],"study_design_scores_gemma":[0.0001824298,0.000091521586,0.99622595,0.000033118686,0.000951388,9.682028e-8,0.00012478237,0.000032296026,0.0019020225,0.00027395308,0.00008048352,0.00010197997],"about_ca_topic_score_codex":0.0058485605,"about_ca_topic_score_gemma":0.013793799,"teacher_disagreement_score":0.00794524,"about_ca_system_score_codex":0.00009386061,"about_ca_system_score_gemma":0.00004706699,"threshold_uncertainty_score":0.88413125},"labels":[],"label_agreement":null},{"id":"W1998600627","doi":"10.1097/00005768-200405001-00362","title":"Exploring GIS as a Novel Approach to Measuring Distances to Activity Opportunities","year":2004,"lang":"en","type":"article","venue":"Medicine & Science in Sports & Exercise","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Explained variation; Variance (accounting); Statistics; Physical activity; Multivariate statistics; Regression analysis; Linear regression; Geography; Stepwise regression; Demography; Mathematics; Econometrics; Medicine; Physical therapy; Business","score_opus":0.199156304268135,"score_gpt":0.32991380849050633,"score_spread":0.13075750422237134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998600627","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95360714,0.00003547238,0.0010455361,0.002823732,0.0007476049,0.00076319725,0.0000026155333,0.00012268811,0.040852036],"genre_scores_gemma":[0.9976364,0.0001570431,0.0010234824,0.00024237888,0.00023990328,0.00019496093,0.0000014097894,0.000014202141,0.0004902351],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9954469,0.000021920432,0.00044738268,0.00088797393,0.0022706382,0.0009251494],"domain_scores_gemma":[0.99829924,0.000036889393,0.000114776914,0.00048043486,0.00019590918,0.0008727299],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004186703,0.0002480907,0.00048071684,0.0005942044,0.0008374724,0.00011054343,0.0010456191,0.000049616054,0.00008648728],"category_scores_gemma":[0.0004316436,0.0002115942,0.000056400015,0.0030398008,0.0016143417,0.0028604497,0.00009652282,0.00022584695,0.000009612184],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018000879,0.0009273888,0.6101614,0.00009487103,9.256385e-7,0.00015828437,0.22558494,0.0010733253,0.0018005115,0.0019650273,0.000040019568,0.15801327],"study_design_scores_gemma":[0.00039080853,0.000064309264,0.9556182,0.00068659894,0.000017642387,0.0000010092904,0.037749004,0.0000064972655,0.00030385822,0.0008763191,0.0038940264,0.00039171442],"about_ca_topic_score_codex":0.021159725,"about_ca_topic_score_gemma":0.0034090055,"teacher_disagreement_score":0.34545678,"about_ca_system_score_codex":0.00055205176,"about_ca_system_score_gemma":0.0009399012,"threshold_uncertainty_score":0.9853585},"labels":[],"label_agreement":null},{"id":"W1998637654","doi":"10.1080/13574800600644381","title":"Does Design Matter? The Ecological Footprint as a Planning Tool at the Local Level","year":2006,"lang":"en","type":"article","venue":"Journal of Urban Design","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Rocky Mountain College; University of Waterloo; Queen's University","funders":"","keywords":"Ecological footprint; Subdivision; Urban design; Community planning; Consumption (sociology); Harmony (color); New Urbanism; Urban ecology; Sustainability; Housing estate; Urban planning; Geography; Environmental resource management; Architectural engineering; Urbanism; Ecology; Civil engineering; Sociology; Engineering; Environmental planning; Environmental science; Architecture; Urbanization","score_opus":0.06314517138027978,"score_gpt":0.30063348516351274,"score_spread":0.23748831378323296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998637654","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7477816,0.00068538444,0.23647697,0.00972756,0.00071499206,0.0006056615,0.0000033560436,0.000033573175,0.0039709397],"genre_scores_gemma":[0.9924302,0.0000085755055,0.001297674,0.00047057873,0.000740357,0.0000083957275,3.3995406e-7,0.000010538784,0.005033315],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974352,0.0008012476,0.00056521955,0.00017288419,0.00063965924,0.00038576874],"domain_scores_gemma":[0.9980001,0.0011578279,0.00041500403,0.00020263185,0.00013886408,0.000085597676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037608352,0.00015259006,0.0002444278,0.000042231262,0.00094102294,0.00019532209,0.000768372,0.00012519948,0.00080523634],"category_scores_gemma":[0.00012732358,0.00005879712,0.00021235642,0.00019078041,0.0006593988,0.00018015788,0.00004002287,0.00039372352,0.000051530213],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008885608,0.0004431498,0.7519097,0.000014101122,0.00012846038,0.0003864919,0.0073409467,0.0066103903,0.0010155304,0.001904583,0.22391154,0.005446579],"study_design_scores_gemma":[0.00058645714,0.00026811732,0.9405243,0.00005136823,0.000115177005,0.000027927212,0.0020974663,0.000106048275,0.0022088105,0.02239195,0.03135889,0.00026348015],"about_ca_topic_score_codex":0.00038225262,"about_ca_topic_score_gemma":0.00024511133,"teacher_disagreement_score":0.24464867,"about_ca_system_score_codex":0.00024243255,"about_ca_system_score_gemma":0.00027162145,"threshold_uncertainty_score":0.8816773},"labels":[],"label_agreement":null},{"id":"W1999212179","doi":"10.1007/s00038-012-0336-2","title":"A multilevel examination of factors of the school environment and time spent in moderate to vigorous physical activity among a sample of secondary school students in grades 9–12 in Ontario, Canada","year":2012,"lang":"en","type":"article","venue":"International Journal of Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":54,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta; Impact; University of Waterloo","funders":"Canadian Institutes of Health Research","keywords":"Multilevel model; Walkability; Neighbourhood (mathematics); Physical activity; Ethnically diverse; Built environment; Sample (material); Environmental health; Public health; Medicine; Psychology; Gerontology; Physical therapy; Population; Nursing; Engineering","score_opus":0.048110306737549985,"score_gpt":0.3252596124841824,"score_spread":0.27714930574663244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999212179","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989562,0.000017203023,0.00007128235,0.00055542623,0.000104894076,0.00021642155,0.000031982694,5.6090596e-7,0.000046006146],"genre_scores_gemma":[0.9998353,0.000006401779,0.000061283245,0.000032164717,0.00002838845,0.0000023384364,0.0000019596478,0.0000028448158,0.000029291985],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980953,0.00030975995,0.00046526865,0.00008591992,0.0008644606,0.00017932586],"domain_scores_gemma":[0.9990662,0.00014744801,0.00045748032,0.000059248534,0.00007751557,0.00019215539],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018682029,0.00006639295,0.00023780044,0.00017372133,0.000024362644,0.000016996732,0.00031191597,0.000029751414,0.000121654935],"category_scores_gemma":[0.000267935,0.00005252913,0.000036531466,0.00009531301,0.0000727422,0.00059432484,0.000047728852,0.00025935948,8.779901e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025769034,0.0006325634,0.98471546,0.000009126408,0.000015697595,7.2847837e-7,0.011312835,0.00006577438,0.000103457176,0.000027364125,0.000005366471,0.003085877],"study_design_scores_gemma":[0.00047885816,0.00003210945,0.99805385,0.00006441744,0.0000016212067,1.6898987e-7,0.000957142,0.000073325,0.00018093684,0.00008430677,0.000035702407,0.000037561345],"about_ca_topic_score_codex":0.93177843,"about_ca_topic_score_gemma":0.9676242,"teacher_disagreement_score":0.035845764,"about_ca_system_score_codex":0.0018195204,"about_ca_system_score_gemma":0.0020253025,"threshold_uncertainty_score":0.47579825},"labels":[],"label_agreement":null},{"id":"W1999251039","doi":"10.1016/j.healthplace.2013.04.006","title":"Achieving recommended daily physical activity levels through commuting by public transportation: Unpacking individual and contextual influences","year":2013,"lang":"en","type":"article","venue":"Health & Place","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":100,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research","keywords":"Unpacking; Public transport; Metropolitan area; Multilevel model; Physical activity; Transport engineering; Geography; Regression analysis; Travel behavior; Psychology; Computer science; Medicine; Engineering; Physical medicine and rehabilitation","score_opus":0.0989420645924007,"score_gpt":0.3742676523035777,"score_spread":0.27532558771117704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999251039","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97431237,0.0003487353,0.0003217599,0.023165762,0.00011936283,0.0005206688,0.00008877579,0.0001331299,0.0009894505],"genre_scores_gemma":[0.9977231,0.000047108308,0.000390384,0.0015067084,0.00015562771,0.000032071734,0.00004090127,0.000012233387,0.00009185765],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977447,0.00045347112,0.00031819087,0.0003865933,0.00045638488,0.00064070144],"domain_scores_gemma":[0.9985799,0.00060821447,0.000287768,0.00016262068,0.000085239044,0.00027625644],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0011402285,0.00018185157,0.0003476361,0.000032563967,0.0015702691,0.000312148,0.00029383512,0.00010763914,0.00014402177],"category_scores_gemma":[0.00010694484,0.00017483403,0.000053509968,0.00030830887,0.0003354139,0.002142261,0.0000186215,0.00042843178,0.000009065211],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025549101,0.00034001243,0.76202905,0.00015555721,0.000044592314,0.0000015251907,0.12746337,0.0000018735982,0.00020239399,0.0022468749,0.005305892,0.10218329],"study_design_scores_gemma":[0.0006562801,0.00008548405,0.96594846,0.00008205142,0.000015906086,3.418695e-7,0.015755057,0.00004412598,0.00007064828,0.00069654605,0.016336113,0.0003089837],"about_ca_topic_score_codex":0.018191075,"about_ca_topic_score_gemma":0.009609411,"teacher_disagreement_score":0.2039194,"about_ca_system_score_codex":0.00011324293,"about_ca_system_score_gemma":0.00041719357,"threshold_uncertainty_score":0.9997296},"labels":[],"label_agreement":null},{"id":"W1999369615","doi":"10.1139/l02-064","title":"A simplified approach for the historical analysis of urban person travel","year":2002,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto","keywords":"Transport engineering; Travel behavior; Distribution (mathematics); Travel time; Work (physics); Trip generation; Population; Population growth; Econometrics; Geography; Statistics; Engineering; Mathematics; Demography; Sociology","score_opus":0.03873281957132337,"score_gpt":0.2244337843272325,"score_spread":0.1857009647559091,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999369615","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25911468,0.024204452,0.67710155,0.0040704524,0.002169393,0.0008672253,0.00012072353,0.000040810257,0.03231071],"genre_scores_gemma":[0.9991313,0.000010476344,0.0002549148,0.000016778295,0.00021937034,0.0000022552242,9.252369e-7,0.000006680162,0.00035727173],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992657,0.000014284258,0.00024539136,0.000073696465,0.00016936782,0.00023158632],"domain_scores_gemma":[0.9992663,0.00011824005,0.00011390369,0.000095218544,0.00010963007,0.00029669233],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049931183,0.000067063615,0.0002487497,0.0002960871,0.00015373253,0.000026862897,0.00028524006,0.000056280205,0.00022257473],"category_scores_gemma":[0.00015852397,0.000053085838,0.00029891057,0.0006296548,0.00005160181,0.00010086756,9.434033e-7,0.000130418,1.1006623e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000565761,0.0002585317,0.4832692,0.00034850524,0.00566963,0.000066489345,0.21261102,0.22173475,0.0006925485,0.010692196,0.056230854,0.008369687],"study_design_scores_gemma":[0.001335598,0.00021124583,0.47158015,0.00007697626,0.005124595,0.00000519283,0.011527485,0.36155048,0.00007428459,0.000102521604,0.14758652,0.000824969],"about_ca_topic_score_codex":0.009261582,"about_ca_topic_score_gemma":0.19419953,"teacher_disagreement_score":0.74001664,"about_ca_system_score_codex":0.000340493,"about_ca_system_score_gemma":0.00016800645,"threshold_uncertainty_score":0.99733585},"labels":[],"label_agreement":null},{"id":"W1999516992","doi":"10.1016/j.healthplace.2010.08.002","title":"Making the narrative walk-in-real-time methodology relevant for public health intervention: Towards an integrative approach","year":2010,"lang":"en","type":"article","venue":"Health & Place","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":65,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Centre Hospitalier de l’Université de Montréal; Sante Montreal; Université du Québec à Trois-Rivières","funders":"Canadian Institutes of Health Research","keywords":"Pedestrian; Narrative; Adaptation (eye); Public health; Intervention (counseling); Sociology; Psychology; Public relations; Political science; Medicine; Transport engineering; Engineering; Nursing","score_opus":0.2213237651263273,"score_gpt":0.47155921123994016,"score_spread":0.25023544611361287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999516992","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75269014,0.0009859721,0.05341119,0.16930804,0.0022483761,0.005944477,0.00011203434,0.00038511422,0.014914672],"genre_scores_gemma":[0.95419025,0.000076280856,0.042117648,0.001664853,0.0004194123,0.00027455916,0.000080887825,0.000021927055,0.0011541884],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99468255,0.0029192946,0.0006784708,0.0005533435,0.00031016106,0.0008561796],"domain_scores_gemma":[0.9979612,0.0007683455,0.00045880518,0.00034631314,0.00017406215,0.00029122212],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01620533,0.00019278756,0.0005034169,0.00010755205,0.0012633037,0.00011216767,0.0005697247,0.0001705625,0.00021419498],"category_scores_gemma":[0.000769041,0.00013326548,0.00014431863,0.00048133812,0.00046865776,0.00047995735,0.000033356915,0.00068329135,0.0000047429785],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032150547,0.00085376,0.009763554,0.00032398626,0.000043340224,0.0000021764733,0.75283307,0.0000058087594,0.000044966506,0.102921434,0.004996469,0.12788992],"study_design_scores_gemma":[0.003706198,0.0024876012,0.15772164,0.00037903924,0.00003203809,0.000010694693,0.5914404,0.005042024,0.00004634312,0.040663578,0.19729422,0.0011762707],"about_ca_topic_score_codex":0.021020735,"about_ca_topic_score_gemma":0.119368784,"teacher_disagreement_score":0.20150012,"about_ca_system_score_codex":0.000411871,"about_ca_system_score_gemma":0.0022344962,"threshold_uncertainty_score":0.98549837},"labels":[],"label_agreement":null},{"id":"W1999632082","doi":"10.2495/sc140411","title":"Accommodating the cyclist in the city","year":2014,"lang":"en","type":"article","venue":"WIT transactions on ecology and the environment","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Downtown; Transport engineering; Stock (firearms); Parking space; Car parking; Business; Geography; Engineering","score_opus":0.013246977898022178,"score_gpt":0.24292228973762814,"score_spread":0.22967531183960596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999632082","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95536166,0.00003661646,0.005534481,0.027096732,0.00012302998,0.0003764975,0.0000028433394,0.000011992739,0.011456137],"genre_scores_gemma":[0.99837977,0.00007092453,0.000017637243,0.0011177361,0.000037408885,0.00007179861,7.8953116e-7,0.0000024956848,0.000301429],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99886405,0.00060239626,0.00012534182,0.00013285228,0.000117907584,0.00015744624],"domain_scores_gemma":[0.99896586,0.00077019917,0.000037234247,0.00020560955,0.0000017461776,0.000019328747],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0018868537,0.00006394543,0.00008702464,0.000012844913,0.0013316674,0.000026920328,0.0002669593,0.00005750208,0.0003558931],"category_scores_gemma":[0.000014224517,0.000029821087,0.000044520577,0.00005981514,0.0010903025,0.0000600397,0.0000027597198,0.0002750222,0.000015139664],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033696374,0.0013440885,0.7355311,0.000013619519,0.000121948804,0.000003945165,0.09597136,0.0028359347,0.000023702081,0.076662175,0.00007813076,0.08707706],"study_design_scores_gemma":[0.00064212055,0.000031510583,0.9690608,0.0000026433736,0.000039247305,4.1803278e-7,0.0039011543,0.00018072,0.000013229624,0.012621461,0.0134386625,0.00006806211],"about_ca_topic_score_codex":0.0006766886,"about_ca_topic_score_gemma":0.010207943,"teacher_disagreement_score":0.2335297,"about_ca_system_score_codex":0.000027402484,"about_ca_system_score_gemma":0.000008749835,"threshold_uncertainty_score":0.99996847},"labels":[],"label_agreement":null},{"id":"W2000151665","doi":"10.1016/j.tranpol.2015.04.005","title":"Exploring differences in school travel mode choice behaviour between children and youth","year":2015,"lang":"en","type":"article","venue":"Transport Policy","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":111,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Toronto Metropolitan University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Neighbourhood (mathematics); Mode choice; Odds; Travel behavior; Multinomial logistic regression; Context (archaeology); Sustainable transport; Psychology; School choice; Demographic economics; Public transport; Geography; Sociology; Advertising; Logistic regression; Political science; Business; Transport engineering; Economics; Sustainability; Medicine; Engineering","score_opus":0.1744853022895594,"score_gpt":0.34302178665901145,"score_spread":0.16853648436945204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000151665","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945689,0.00009486099,0.000043923836,0.0004738222,0.000057360576,0.00030354093,0.00019331505,0.00008997351,0.0041743414],"genre_scores_gemma":[0.9988129,0.00007909604,0.00004925172,0.00004661875,0.0006952573,0.000019528574,0.00007561066,0.000016832186,0.0002048764],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99825794,0.00006485688,0.00036701933,0.00038411628,0.00040893117,0.00051714695],"domain_scores_gemma":[0.9991128,0.00002703455,0.000064567255,0.00018858768,0.000039535247,0.0005674648],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043904418,0.00019142086,0.00034521846,0.00020651295,0.0001705006,0.000046465073,0.00033898483,0.000117164476,0.000029651961],"category_scores_gemma":[0.000043618908,0.0001832743,0.00006623386,0.0004918327,0.00027219526,0.0008333792,0.000008865999,0.00026608037,0.0000072013513],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009913973,0.000050427792,0.96555054,0.000004428425,0.000008790997,0.0000017328356,0.032966536,0.0000010446909,0.0000025402057,0.00047775984,0.0000024979079,0.00092380034],"study_design_scores_gemma":[0.0006110919,0.000023317743,0.995225,0.000026777165,0.000045070596,9.130141e-8,0.0031389706,6.5040587e-7,0.000032810683,0.00065508415,0.000018200808,0.00022291335],"about_ca_topic_score_codex":0.32364827,"about_ca_topic_score_gemma":0.044334657,"teacher_disagreement_score":0.27931362,"about_ca_system_score_codex":0.00010227121,"about_ca_system_score_gemma":0.00042783073,"threshold_uncertainty_score":0.97310376},"labels":[],"label_agreement":null},{"id":"W2000229039","doi":"10.5539/jsd.v7n4p61","title":"Investigating the Link between Transit Oriented Development and Sustainable Travel Behavior in Brisbane: A Case-Control Study","year":2014,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Queensland University of Technology","keywords":"Transit (satellite); Transit-oriented development; Travel behavior; Transport engineering; Sustainable development; Business; Control (management); Investment (military); Sustainable transport; Urban transit; Liberian dollar; Public transport; Regional science; Geography; Sustainability; Computer science; Engineering; Political science; Finance; Ecology","score_opus":0.018615721941651824,"score_gpt":0.27580122570867943,"score_spread":0.2571855037670276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000229039","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952291,0.00018133382,0.0015885239,0.001230962,0.000066028915,0.0013704742,7.4431887e-7,0.00001701843,0.00031579143],"genre_scores_gemma":[0.99690455,0.0000038489616,0.0013747609,0.00007723788,0.00026437762,0.00006702493,0.0000011910646,0.000019000809,0.0012880296],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9961359,0.00052910787,0.0012694524,0.00030022569,0.00078614685,0.0009792023],"domain_scores_gemma":[0.99794686,0.0003371344,0.00047775306,0.00015973486,0.0007578934,0.00032063894],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.010257685,0.00024927733,0.000534844,0.00033857024,0.001554935,0.00022795278,0.00038732294,0.00012808062,0.000028308177],"category_scores_gemma":[0.00047039657,0.00018802856,0.000066765475,0.0007955609,0.00023178158,0.0006256613,0.00005862714,0.0005554823,9.057722e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035681256,0.00016084171,0.8324818,0.000095673706,0.000076594704,0.003107013,0.1378752,0.000017048062,0.0000054676993,0.00060763874,0.00001531866,0.025521725],"study_design_scores_gemma":[0.0015987711,0.00010925443,0.71406037,0.00003307992,0.00008780593,0.000029559165,0.27429572,0.000005677347,0.00007818994,0.00023404472,0.009264848,0.00020270144],"about_ca_topic_score_codex":0.0015332033,"about_ca_topic_score_gemma":0.0019326734,"teacher_disagreement_score":0.13642053,"about_ca_system_score_codex":0.00075334543,"about_ca_system_score_gemma":0.002196904,"threshold_uncertainty_score":0.9997449},"labels":[],"label_agreement":null},{"id":"W2000461784","doi":"10.1111/j.1435-5597.2004.tb01917.x","title":"Development similarity based on proximity: A case study of urban clusters in Canada","year":2004,"lang":"en","type":"article","venue":"Papers of the Regional Science Association","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Geography; Economic geography; Similarity (geometry); Unemployment; Cluster analysis; Population; Cluster (spacecraft); Demographic economics; Regional science; Economic growth; Economics; Demography; Sociology; Statistics; Mathematics","score_opus":0.02331221110790765,"score_gpt":0.26932942632342755,"score_spread":0.2460172152155199,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000461784","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958095,0.0000030690271,0.000001455637,0.002396714,0.00009606799,0.0003792121,0.00000209441,0.000004459664,0.00130741],"genre_scores_gemma":[0.9996687,4.857027e-7,0.00010118293,0.00018004961,0.000010631601,0.000007346982,5.135915e-7,0.000001805131,0.00002926093],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99793094,0.000098617355,0.00025308566,0.00019429668,0.0013035601,0.00021948297],"domain_scores_gemma":[0.9992718,0.00010511639,0.00030283476,0.0001364789,0.00012848536,0.000055300334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018295061,0.00006311175,0.00012130649,0.000060434362,0.00046325778,0.0000129297305,0.00037574235,0.00003259763,0.0000046848354],"category_scores_gemma":[0.00030923288,0.000048356535,0.000034017696,0.00093600305,0.00018110074,0.00017200515,0.00002182304,0.000095170944,1.17466584e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.000011708925,0.00027908024,0.9865826,0.000004539284,0.00000425821,0.000005404206,0.010849877,0.0018290947,0.000062061714,0.00010322929,0.0000130987155,0.0002550429],"study_design_scores_gemma":[0.0005651878,0.000024946814,0.9793409,0.00003468739,0.000007810993,1.8191473e-7,0.019397413,0.000097607306,0.00020418143,0.00009761271,0.00014943033,0.00008004518],"about_ca_topic_score_codex":0.8643299,"about_ca_topic_score_gemma":0.9920466,"teacher_disagreement_score":0.12771675,"about_ca_system_score_codex":0.004051198,"about_ca_system_score_gemma":0.00669868,"threshold_uncertainty_score":0.9997721},"labels":[],"label_agreement":null},{"id":"W2000866706","doi":"10.1007/s12160-009-9149-9","title":"Examining the Individual and Perceived Neighborhood Associations of Leisure-Time Physical Activity in Persons with Spinal Cord Injury","year":2010,"lang":"en","type":"article","venue":"Annals of Behavioral Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University; McMaster University; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Theory of planned behavior; Structural equation modeling; Psychology; Context (archaeology); Health psychology; Variance (accounting); Explained variation; Spinal cord injury; Population; Medicine; Public health; Environmental health; Statistics; Mathematics; Control (management)","score_opus":0.16505893463963964,"score_gpt":0.422197747074345,"score_spread":0.2571388124347054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000866706","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99739504,0.000019601312,0.0000016700749,0.0018700791,0.000047854526,0.00019411936,0.00004965454,0.000011498628,0.00041050912],"genre_scores_gemma":[0.99976206,0.000005155498,0.000024682064,0.000022300002,0.00013113843,0.0000068101162,0.0000069343287,0.0000055346063,0.000035407225],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99890417,0.000101429585,0.00016894039,0.00016859712,0.00045874153,0.00019811808],"domain_scores_gemma":[0.9993433,0.00012036041,0.00019333359,0.0001387563,0.0001242583,0.000080016776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077970314,0.000097788565,0.0003453558,0.00006371631,0.00014912804,0.000009861382,0.00019262976,0.00007824375,0.0000678332],"category_scores_gemma":[0.00006598327,0.00006273942,0.000033530796,0.00030083949,0.0011431886,0.00021849229,0.000019400344,0.00033238294,3.6554476e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013380301,0.0003473314,0.95592517,0.0000058876976,0.0000103137445,0.0000015918691,0.010710978,4.38349e-8,0.014000203,0.000092943344,0.000045598033,0.018726122],"study_design_scores_gemma":[0.000282271,0.0012233702,0.993626,0.000052310435,0.00007901138,1.4548186e-7,0.0039767977,0.0000041720245,0.0005679696,0.00009957556,0.000018093411,0.00007030431],"about_ca_topic_score_codex":0.0062434035,"about_ca_topic_score_gemma":0.004687441,"teacher_disagreement_score":0.037700795,"about_ca_system_score_codex":0.000006673379,"about_ca_system_score_gemma":0.00011080689,"threshold_uncertainty_score":0.94382},"labels":[],"label_agreement":null},{"id":"W2001036916","doi":"10.1108/17506201111133387","title":"Rural sustainability and the built environment","year":2011,"lang":"en","type":"article","venue":"Journal of Enterprising Communities People and Places in the Global Economy","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Sustainability; Urban sprawl; Subdivision; Built environment; Walkability; Context (archaeology); Environmental planning; Geography; Originality; Regional science; Nova scotia; Urban planning; Sustainable development; Geographic information system; Transit-oriented development; Environmental resource management; Transport engineering; Business; Civil engineering; Engineering; Economics; Sociology; Political science; Cartography; Qualitative research","score_opus":0.01734226318428191,"score_gpt":0.2652362808605376,"score_spread":0.24789401767625566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001036916","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97697204,0.0017068281,0.00008428809,0.002085386,0.0000861513,0.00014206204,0.0000033878953,0.0000030346848,0.018916804],"genre_scores_gemma":[0.99879175,0.000804732,0.00005398909,0.000277989,0.000049403294,0.0000025636411,5.667315e-7,0.0000017813145,0.000017198015],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99869204,0.00066488,0.0003259712,0.000046068784,0.000104321574,0.00016674439],"domain_scores_gemma":[0.9990606,0.00047238747,0.00020721508,0.0001792205,0.00003671623,0.000043898144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002720785,0.0000847187,0.00020353918,0.000026557113,0.00046463404,0.0001507515,0.0005195345,0.00004044156,0.00006651554],"category_scores_gemma":[0.00004235,0.000049202466,0.00006511403,0.000059361326,0.0009902662,0.0004105365,0.00007860268,0.00023867194,3.2762935e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002239145,0.000052122046,0.85281324,0.00001342237,0.000018348825,0.0000021937235,0.14090739,0.0000041562457,1.7516072e-8,0.004575012,0.000027926153,0.0013622529],"study_design_scores_gemma":[0.0009646642,0.00007576552,0.40315884,0.000041591535,0.000045589877,0.000019972476,0.46254185,0.00003557418,7.501966e-7,0.12743245,0.0055867345,0.00009621333],"about_ca_topic_score_codex":0.02461043,"about_ca_topic_score_gemma":0.019074641,"teacher_disagreement_score":0.4496544,"about_ca_system_score_codex":0.00011149483,"about_ca_system_score_gemma":0.00007732731,"threshold_uncertainty_score":0.9988247},"labels":[],"label_agreement":null},{"id":"W2001688487","doi":"10.1016/j.jtrangeo.2012.03.016","title":"Measuring accessibility: positive and normative implementations of various accessibility indicators","year":2012,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":736,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; McMaster University","funders":"","keywords":"Normative; Relevance (law); Meaning (existential); Implementation; Computer science; Psychology; Management science; Political science; Engineering; Law","score_opus":0.027788372893079474,"score_gpt":0.3162130637735473,"score_spread":0.28842469088046785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001688487","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948785,0.0009997993,0.0010370327,0.00019321198,0.0002833692,0.00029465667,0.000092500675,0.0000178821,0.0022030952],"genre_scores_gemma":[0.99861825,0.00016900181,0.000970589,0.00005602409,0.00015616116,0.000004423459,0.000009915146,0.000010065024,0.000005566625],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971814,0.00022864886,0.0011492834,0.00019375673,0.00080092304,0.00044594592],"domain_scores_gemma":[0.9978025,0.00018064909,0.0010211415,0.00018822122,0.00040314137,0.0004043645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031409715,0.0001835379,0.00049270166,0.00056820706,0.00040303732,0.000038694387,0.00042084663,0.00012156282,0.00022578682],"category_scores_gemma":[0.000053154978,0.00015671659,0.00038545608,0.0010525638,0.0007037835,0.0023549022,0.000016803779,0.00033614712,4.3244125e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009365133,0.00038546594,0.97344625,0.0000624022,0.00017029389,0.0000034433576,0.021253407,9.559517e-7,0.000095367424,0.00018014402,0.000008491096,0.0043001454],"study_design_scores_gemma":[0.0005401861,0.000072581635,0.9925476,0.000057137695,0.00027028588,0.0000016859968,0.0036373956,3.2595378e-7,0.0010811496,0.0012859901,0.00035157794,0.0001541262],"about_ca_topic_score_codex":0.0011950275,"about_ca_topic_score_gemma":0.00095454603,"teacher_disagreement_score":0.019101325,"about_ca_system_score_codex":0.0000594627,"about_ca_system_score_gemma":0.00024454255,"threshold_uncertainty_score":0.6390717},"labels":[],"label_agreement":null},{"id":"W2002579858","doi":"10.1080/02664763.2011.580336","title":"A spatial random-effects model for interzone flows: commuting in Northern Ireland","year":2011,"lang":"en","type":"article","venue":"Journal of Applied Statistics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Econometrics; Variable (mathematics); Estimation; Geography; Latent variable; Mathematics; Statistics; Computer science; Economics","score_opus":0.03238235178081022,"score_gpt":0.29100531848409006,"score_spread":0.25862296670327983,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002579858","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3661979,0.000023957467,0.6313067,0.000016554988,0.00014523478,0.00025874557,0.000025596853,0.000006115986,0.0020191947],"genre_scores_gemma":[0.94467777,0.000012193035,0.055086706,0.00003652314,0.00013893342,0.000007927893,0.0000037516857,0.000010261888,0.000025953912],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989242,0.000037563623,0.0004940828,0.00009104078,0.00023339578,0.00021974696],"domain_scores_gemma":[0.9989998,0.00036456998,0.00032536694,0.00007591245,0.00014220647,0.00009217311],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000995154,0.000090877606,0.00029563459,0.00006917153,0.00013832365,0.000026932843,0.00022438851,0.00006939856,0.000019980753],"category_scores_gemma":[0.00015234205,0.000078046134,0.00006098901,0.000079337704,0.000097800286,0.00008646766,0.000011856419,0.00021299359,0.0000014189563],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.011844149,0.0017817143,0.4669981,0.00058113964,0.00028881512,0.00017121415,0.3336055,0.0029698438,0.00066542224,0.03078319,0.0012343766,0.14907657],"study_design_scores_gemma":[0.032774962,0.00082014716,0.10380826,0.0004750583,0.0006049738,0.000003853429,0.009303196,0.28411365,0.0007561757,0.56516874,0.0009960461,0.0011749458],"about_ca_topic_score_codex":0.00050717406,"about_ca_topic_score_gemma":0.047935955,"teacher_disagreement_score":0.5784798,"about_ca_system_score_codex":0.00007273238,"about_ca_system_score_gemma":0.00017960319,"threshold_uncertainty_score":0.9694367},"labels":[],"label_agreement":null},{"id":"W2002751296","doi":"10.1111/j.1541-0064.2007.00189.x","title":"Modélisation spatiale de la pauvretéà Montréal: apport méthodologique de la régression géographiquement pondérée","year":2007,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Poverty; Geographically Weighted Regression; Homogeneous; Geography; Unemployment; Phenomenon; Immigration; Sociology; Regional science; Statistics; Economics; Mathematics; Economic growth","score_opus":0.01453937307450748,"score_gpt":0.2689901858115445,"score_spread":0.254450812737037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002751296","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9776737,0.0025076093,0.0014965266,0.0008841211,0.0004939047,0.000681141,0.00009558469,0.0004387299,0.015728662],"genre_scores_gemma":[0.99281114,0.0034115803,0.0022419125,0.00074689934,0.0003666825,0.00009693978,0.000093424824,0.00006146165,0.00016994715],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9946556,0.0012806626,0.0006550445,0.0007315254,0.000494081,0.002183062],"domain_scores_gemma":[0.99563295,0.0011012078,0.00027410235,0.00056502316,0.00023568734,0.0021910577],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.00847839,0.0004830615,0.00045986165,0.00341892,0.0018699962,0.00030710117,0.0007782499,0.0008351679,0.00017823542],"category_scores_gemma":[0.00054765184,0.00051056826,0.00045300098,0.0045605875,0.005338495,0.0004725013,0.000034943074,0.0006340004,0.0000028082502],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056201934,0.00006833587,0.9601281,0.00003731071,0.00009742483,0.00034997065,0.00772019,0.000054235625,0.000081762955,0.01807365,0.0051156087,0.0082172025],"study_design_scores_gemma":[0.0004110339,0.000080788195,0.8867403,0.00007965723,0.00009417578,0.000016668724,0.015676368,0.000036847494,0.000091564354,0.031136805,0.064947054,0.0006886924],"about_ca_topic_score_codex":0.94643927,"about_ca_topic_score_gemma":0.99715126,"teacher_disagreement_score":0.073387764,"about_ca_system_score_codex":0.0005267004,"about_ca_system_score_gemma":0.001164988,"threshold_uncertainty_score":0.9997346},"labels":[],"label_agreement":null},{"id":"W2003656783","doi":"10.1016/j.ypmed.2013.12.008","title":"Active school travel: An evaluation of the Canadian school travel planning intervention","year":2013,"lang":"en","type":"article","venue":"Preventive Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":69,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Cape Breton University; Dalhousie University; University of Toronto","funders":"Canadian Institutes of Health Research; Health Canada; Public Health Agency of Canada; Heart and Stroke Foundation of Canada","keywords":"Medicine; Intervention (counseling); Enforcement; Data collection; Morning; Medical education; Environmental health; Demography; Nursing","score_opus":0.06501167873192683,"score_gpt":0.37700275921638793,"score_spread":0.3119910804844611,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003656783","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96405447,0.00021555125,0.00022539715,0.0013397539,0.00037665476,0.001234786,0.000008989858,0.000012227627,0.032532167],"genre_scores_gemma":[0.9984923,0.000002812802,0.000024822535,0.00008816366,0.00026202854,0.00006944864,0.000022679238,0.000007487662,0.001030253],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99771357,0.00067534565,0.0003217282,0.00022853597,0.0008125623,0.0002482701],"domain_scores_gemma":[0.99865025,0.000043471267,0.00020725957,0.00020889912,0.00056651456,0.00032359574],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0026068552,0.000104777944,0.00018679033,0.00010863893,0.00038831396,0.000025885434,0.0003403436,0.00008692196,0.006937886],"category_scores_gemma":[0.0008723512,0.00007246339,0.000086108616,0.00032731527,0.00040798998,0.0005672364,0.0000113889,0.00022690056,0.000019676765],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034256682,0.00019528618,0.9090981,0.00004536689,0.000111478555,9.1830594e-7,0.03931313,0.000012489236,0.0020942874,0.0006857306,0.0012371544,0.04717181],"study_design_scores_gemma":[0.0006621176,0.00005876245,0.97254515,0.000244053,0.0001297421,9.552858e-8,0.016163012,0.00017324227,0.0007656021,0.009103771,0.0000773052,0.000077125085],"about_ca_topic_score_codex":0.54703784,"about_ca_topic_score_gemma":0.6072613,"teacher_disagreement_score":0.06344708,"about_ca_system_score_codex":0.00043012944,"about_ca_system_score_gemma":0.00072031724,"threshold_uncertainty_score":0.9939699},"labels":[],"label_agreement":null},{"id":"W2003719618","doi":"10.1016/j.tranpol.2012.01.008","title":"Does the commute mode affect the frequency of walking behavior? The public transit link","year":2012,"lang":"en","type":"article","venue":"Transport Policy","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":87,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"New Jersey Department of Transportation","keywords":"Public transport; Transport engineering; Transit (satellite); Destinations; Ordered probit; Mode choice; TRIPS architecture; Mode (computer interface); Work (physics); Probit; Travel behavior; Preferred walking speed; Geography; Engineering; Computer science; Physical medicine and rehabilitation; Medicine","score_opus":0.03737616665862258,"score_gpt":0.33822796853962317,"score_spread":0.3008518018810006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003719618","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9466222,0.00055801193,0.00024183342,0.040646475,0.00041231271,0.0008632582,0.00008639475,0.0001046633,0.010464833],"genre_scores_gemma":[0.9975514,0.00012804214,0.000032362088,0.00058588857,0.0012251866,0.00009117295,0.000017329801,0.000022854154,0.0003457927],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975668,0.00037499677,0.00045284184,0.00020299183,0.0006152957,0.00078705366],"domain_scores_gemma":[0.9985021,0.00028760772,0.00016660035,0.00079599395,0.00008598522,0.00016176216],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0020969352,0.00021686238,0.00026706944,0.000060905444,0.0014237227,0.00006226267,0.0015018295,0.00014847842,0.000326822],"category_scores_gemma":[0.000031974017,0.00008201116,0.00035393602,0.00074686354,0.0015014057,0.00058877544,0.000011717085,0.00048108175,0.000009983037],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009286852,0.0001613555,0.8653103,0.000024180648,0.000048979724,0.0000016733027,0.065302245,0.000002056189,0.00029223485,0.058703095,0.000047536312,0.010097024],"study_design_scores_gemma":[0.00019502011,0.0000143916495,0.9761903,0.000017115484,0.00020341424,7.8165806e-7,0.0024536687,0.0000027051724,0.00039156084,0.003401659,0.016942654,0.00018670672],"about_ca_topic_score_codex":0.037257716,"about_ca_topic_score_gemma":0.05080714,"teacher_disagreement_score":0.11087999,"about_ca_system_score_codex":0.00006216671,"about_ca_system_score_gemma":0.00032946622,"threshold_uncertainty_score":0.99987626},"labels":[],"label_agreement":null},{"id":"W2003822032","doi":"10.1016/j.puhe.2014.05.004","title":"Parental factors in children's active transport to school","year":2014,"lang":"en","type":"article","venue":"Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":73,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Center for Advancing Translational Sciences; National Center for Research Resources; National Institute of Environmental Health Sciences","keywords":"Psychology; Environmental health; Medicine","score_opus":0.03333843878879849,"score_gpt":0.32845464426020254,"score_spread":0.29511620547140405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003822032","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9817128,0.000012643923,0.00023650216,0.010808664,0.00015246391,0.00047720264,0.000032624717,0.000091998285,0.0064751008],"genre_scores_gemma":[0.99824184,0.000008153323,0.000060538237,0.0012804208,0.00018741284,0.000018474391,0.000062120205,0.0000087392955,0.00013232467],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981717,0.00020868183,0.00028104708,0.00032111915,0.0003538682,0.00066362164],"domain_scores_gemma":[0.9987961,0.000039280058,0.00006474452,0.0001691257,0.000036524863,0.00089422887],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013511408,0.00010668706,0.00021749234,0.00013589897,0.00030547593,0.00004521006,0.00030006046,0.00007297124,0.00051153026],"category_scores_gemma":[0.00016585345,0.00009872715,0.000056244648,0.0005739094,0.00008380975,0.0004464175,0.000008437132,0.00020464434,0.000034258912],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000037122988,0.00010021343,0.9816443,0.000004383612,0.0000034557258,1.2537554e-7,0.00819207,5.0608605e-7,6.6646015e-7,0.0008692553,0.00014584462,0.009035516],"study_design_scores_gemma":[0.00017285779,0.00003232098,0.9748687,0.00000625835,9.32993e-7,3.165737e-8,0.0014443649,8.688791e-7,0.0000054535462,0.0001803359,0.02318453,0.0001033516],"about_ca_topic_score_codex":0.040104806,"about_ca_topic_score_gemma":0.048879642,"teacher_disagreement_score":0.023038687,"about_ca_system_score_codex":0.00034785047,"about_ca_system_score_gemma":0.00093911117,"threshold_uncertainty_score":0.9684758},"labels":[],"label_agreement":null},{"id":"W2003870261","doi":"10.1016/j.healthplace.2006.11.002","title":"Destinations that matter: Associations with walking for transport","year":2007,"lang":"en","type":"article","venue":"Health & Place","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":318,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Destinations; Walkability; Neighbourhood (mathematics); Geography; Work (physics); Business; Environmental health; Physical activity; Demographic economics; Medicine; Physical medicine and rehabilitation","score_opus":0.043030997413492054,"score_gpt":0.3589429206325219,"score_spread":0.3159119232190299,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003870261","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85415876,0.0002451898,0.09733352,0.020688953,0.00035610094,0.0016290916,0.00014188435,0.0002687079,0.025177816],"genre_scores_gemma":[0.9909702,0.000009716797,0.005675849,0.00116442,0.00013817078,0.000028543787,0.00006556753,0.000011531128,0.0019360207],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99876547,0.000043142798,0.00022607243,0.00019732787,0.0002878099,0.0004801566],"domain_scores_gemma":[0.9990963,0.00037076778,0.00015276008,0.00010551539,0.00009590396,0.00017878352],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002074598,0.000079183366,0.00014247274,0.00005219501,0.0011525557,0.00002671076,0.00012717067,0.00006355665,0.000102615886],"category_scores_gemma":[0.000036268495,0.00007385198,0.000045965528,0.000263404,0.0000839887,0.00023206038,0.0000019264496,0.00010439445,0.00001083733],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020609876,0.000057099976,0.9880767,0.000034047654,0.000005829388,0.0000011554232,0.0072972374,0.000004329123,0.000001162621,0.0016553027,0.001212776,0.0016337881],"study_design_scores_gemma":[0.00027613447,0.00003033544,0.96217585,0.000026918346,0.000012510998,2.2147104e-7,0.0013263295,0.000005052088,0.000011186117,0.00040923187,0.03562836,0.000097844764],"about_ca_topic_score_codex":0.004755135,"about_ca_topic_score_gemma":0.14549659,"teacher_disagreement_score":0.14074147,"about_ca_system_score_codex":0.0002763957,"about_ca_system_score_gemma":0.00054388953,"threshold_uncertainty_score":0.88646436},"labels":[],"label_agreement":null},{"id":"W2003988395","doi":"10.3141/2394-11","title":"Has Transportation Demand of Shanghai, China, Passed Its Peak Growth?","year":2013,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver Community College; University of British Columbia","funders":"","keywords":"TRIPS architecture; Pace; China; Business; Public transport; Megacity; Transport engineering; Travel behavior; Trip generation; Demand management; Economic growth; Agricultural economics; Economics; Geography; Economy; Engineering","score_opus":0.104493221612566,"score_gpt":0.3891459936875156,"score_spread":0.28465277207494966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003988395","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98515785,0.00047478586,0.0009006946,0.009661787,0.0006241394,0.0021833275,0.00014280346,0.00005315986,0.0008014439],"genre_scores_gemma":[0.99616396,0.0010856654,0.0007453694,0.000047877893,0.0003466926,0.00013905662,0.00005482515,0.00006744388,0.0013491273],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9870522,0.0021383648,0.0025104936,0.0006340299,0.0062479745,0.0014169251],"domain_scores_gemma":[0.98812044,0.0011155593,0.0010342933,0.00056829146,0.008401544,0.00075988244],"candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007322567,0.00038339055,0.00081487675,0.0011910464,0.0016997723,0.0003206706,0.0020988262,0.0004265319,0.002741279],"category_scores_gemma":[0.00042325142,0.00030290085,0.00079729786,0.0036937601,0.0021673315,0.0024391564,0.000004952318,0.0023425284,0.000051950166],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010010198,0.0007857792,0.9387328,0.0006907705,0.00025392786,0.00006702188,0.02903715,0.0002498885,0.009828708,0.007826982,0.00839409,0.0031318557],"study_design_scores_gemma":[0.0015856925,0.0004128844,0.9728613,0.00037816205,0.000099730554,8.105406e-8,0.0055432194,0.00004004982,0.004101744,0.00945889,0.005226629,0.00029164262],"about_ca_topic_score_codex":0.08328097,"about_ca_topic_score_gemma":0.21063226,"teacher_disagreement_score":0.1273513,"about_ca_system_score_codex":0.00029036624,"about_ca_system_score_gemma":0.0016943911,"threshold_uncertainty_score":0.9999591},"labels":[],"label_agreement":null},{"id":"W2004296775","doi":"10.1016/j.jtrangeo.2004.10.008","title":"A GIS toolkit for exploring geographies of household activity/travel behavior","year":2004,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":147,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Travel behavior; Geographic information system; Transport engineering; Visualization; sort; Exploratory research; Computer science; Geography; Engineering; Data mining; Sociology; Cartography; Database","score_opus":0.06535266528348795,"score_gpt":0.29147910937998595,"score_spread":0.226126444096498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004296775","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99518955,0.0004195309,0.0026775196,0.00030413026,0.0005656989,0.00040766544,0.000111772555,0.000032806212,0.00029133202],"genre_scores_gemma":[0.99679583,0.00061604177,0.0022232912,0.00002394468,0.00026366208,0.000037429298,0.000004264115,0.000022615512,0.000012894159],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978035,0.00002981618,0.0007831055,0.00022242521,0.00072600105,0.00043514598],"domain_scores_gemma":[0.9985653,0.000068561916,0.00059476844,0.00020590189,0.00033555954,0.00022987332],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009941049,0.00020284967,0.0005584185,0.00068736234,0.00030321025,0.00003135438,0.00050475943,0.00014228927,0.00003626105],"category_scores_gemma":[0.00001791983,0.00018532117,0.0012555711,0.0009178969,0.0005455058,0.001129159,0.0000045444426,0.0002809724,1.9837145e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025614162,0.0007546854,0.99062777,0.00008760686,0.00014318914,0.00003493854,0.003223233,0.00005992805,0.0017301225,0.00042734048,0.000010467274,0.0026446013],"study_design_scores_gemma":[0.001292317,0.00028568011,0.9885615,0.00012502073,0.00041519868,0.0000021644837,0.0011684848,8.056662e-8,0.004738801,0.0016499662,0.0015497635,0.00021100504],"about_ca_topic_score_codex":0.0017634254,"about_ca_topic_score_gemma":0.0017451486,"teacher_disagreement_score":0.0030086788,"about_ca_system_score_codex":0.000030877676,"about_ca_system_score_gemma":0.00022705224,"threshold_uncertainty_score":0.7557178},"labels":[],"label_agreement":null},{"id":"W2004496301","doi":"10.1080/07399330701880911","title":"Not Enough Time? Individual and Environmental Implications for Workplace Physical Activity Programming Among Women<i>with</i>and<i>without</i>Young Children","year":2008,"lang":"en","type":"article","venue":"Health Care For Women International","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Alberta Health; University of Alberta; Alberta Health Services","funders":"","keywords":"Audit; Physical activity; Focus group; Promotion (chess); Psychology; Environmental audit; Health promotion; Work (physics); Applied psychology; Gerontology; Developmental psychology; Medicine; Public health; Nursing; Physical therapy; Political science; Engineering; Business; Marketing","score_opus":0.015457300177469215,"score_gpt":0.3050075318892675,"score_spread":0.2895502317117983,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004496301","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99572504,0.0000492271,0.00039959434,0.001321818,0.00008050239,0.0013339815,0.00090439455,0.000057104953,0.00012833995],"genre_scores_gemma":[0.9964208,0.000027807073,0.00097503216,0.00015075682,0.00032788358,0.0012083744,0.00025221,0.000018127903,0.0006190089],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986368,0.000036019097,0.00016319739,0.00039283553,0.00028940826,0.0004817365],"domain_scores_gemma":[0.9993445,0.000105436404,0.00015345876,0.00010103327,0.000049122635,0.00024640755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026560732,0.00014162129,0.00021391448,0.000051765546,0.0010772189,0.000076795215,0.00018511851,0.000061211256,0.00001799486],"category_scores_gemma":[0.00002161578,0.00013499614,0.000040956766,0.000071501956,0.00040315784,0.00036115968,0.000035632616,0.00011626233,9.222567e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022522052,0.00019062182,0.9054571,0.000033064345,0.00006779482,1.3852967e-7,0.07069906,0.0000013047332,0.000021561227,0.00023602165,0.00009952272,0.022968596],"study_design_scores_gemma":[0.0008869149,0.00020485345,0.98696864,0.0000121898565,0.0000088072475,0.0000026537768,0.002829497,0.000022122165,0.000024357227,0.00017154458,0.008702561,0.00016583754],"about_ca_topic_score_codex":0.0002704212,"about_ca_topic_score_gemma":0.00035123373,"teacher_disagreement_score":0.081511565,"about_ca_system_score_codex":0.00055397465,"about_ca_system_score_gemma":0.00020544596,"threshold_uncertainty_score":0.8285206},"labels":[],"label_agreement":null},{"id":"W2005332458","doi":"10.3141/2219-12","title":"Driving to Suburban Rail Stations","year":2011,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Concordia University; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Transport engineering; Train; Pedestrian; Transit (satellite); Context (archaeology); TRIPS architecture; Service (business); Public transport; Park and ride; Level of service; Travel behavior; Geography; Business; Engineering","score_opus":0.1829138449625612,"score_gpt":0.43131362412557067,"score_spread":0.24839977916300948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005332458","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9875605,0.00010295542,0.0022756425,0.004295534,0.0007956127,0.0012964434,0.00004826227,0.00005564397,0.0035693776],"genre_scores_gemma":[0.99299103,0.0002693729,0.0034678762,0.00008880791,0.00032009082,0.00007952172,0.000009713888,0.000049744922,0.0027238242],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.989883,0.0018988991,0.0015251937,0.00050290104,0.004861818,0.0013281837],"domain_scores_gemma":[0.99195755,0.0009242426,0.00040273016,0.0005798603,0.0051539126,0.0009817334],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008748008,0.0002446105,0.00044442125,0.0012148606,0.0019901837,0.00019663716,0.0019964187,0.00022275322,0.0021284015],"category_scores_gemma":[0.000519605,0.0001967391,0.0004590937,0.004042652,0.0012894024,0.0012690412,0.000008391401,0.0020354243,0.0000771798],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005992995,0.00035473122,0.92495203,0.00006529547,0.000086727894,0.00007868278,0.05244045,0.000053993743,0.00073558075,0.009022702,0.007162039,0.0044484846],"study_design_scores_gemma":[0.000630155,0.00031344796,0.93956923,0.0001949024,0.000043485008,5.0453732e-8,0.01099051,0.0000047203666,0.00078689086,0.007793774,0.039465547,0.00020729344],"about_ca_topic_score_codex":0.072591305,"about_ca_topic_score_gemma":0.47590837,"teacher_disagreement_score":0.40331706,"about_ca_system_score_codex":0.00037288934,"about_ca_system_score_gemma":0.0015434545,"threshold_uncertainty_score":0.99930906},"labels":[],"label_agreement":null},{"id":"W2005392075","doi":"10.1016/j.tranpol.2009.01.002","title":"Transport mobility benefits and quality of life: A time-use perspective of elderly Canadians","year":2009,"lang":"en","type":"article","venue":"Transport Policy","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":338,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; Saint Mary's University","funders":"","keywords":"Quality of life (healthcare); Perspective (graphical); Independence (probability theory); Quality (philosophy); Index (typography); Travel behavior; Environmental economics; Gerontology; Psychology; Transport engineering; Computer science; Economics; Medicine; Engineering; Statistics; Mathematics","score_opus":0.03581294060916997,"score_gpt":0.3241362905708884,"score_spread":0.28832334996171843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005392075","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.984217,0.0004418467,0.000025339177,0.001970729,0.000020410469,0.00036652424,0.0005502005,0.000067836576,0.012340147],"genre_scores_gemma":[0.99884444,0.00015325089,0.00013251521,0.00020817047,0.000102190774,0.000005092338,0.000027521668,0.000012326598,0.00051449606],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997676,0.000083721,0.00080707454,0.0004588399,0.00048870704,0.00048567186],"domain_scores_gemma":[0.9984727,0.00009632993,0.00024138913,0.00039321173,0.0003207928,0.00047560743],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076199276,0.00022483319,0.00066537544,0.00018203957,0.00019040715,0.000010060067,0.0003140084,0.00020990912,0.0003343079],"category_scores_gemma":[0.00009922102,0.00023029928,0.00024449467,0.0006463275,0.0008452538,0.00046812615,0.0000020446098,0.00017999842,0.0000013663348],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002382014,0.00047835088,0.9024901,0.000095574505,0.00005519488,0.0000029653165,0.03134459,0.000020643307,0.000613139,0.06114026,0.000010131121,0.0035108614],"study_design_scores_gemma":[0.0005510954,0.00012136614,0.99441725,0.00003665236,0.000060669332,1.0872358e-7,0.0015770342,0.0000015709336,0.0002371804,0.0023457415,0.00042137227,0.00022994165],"about_ca_topic_score_codex":0.65280867,"about_ca_topic_score_gemma":0.35322392,"teacher_disagreement_score":0.29958475,"about_ca_system_score_codex":0.00013053858,"about_ca_system_score_gemma":0.001389495,"threshold_uncertainty_score":0.9391332},"labels":[],"label_agreement":null},{"id":"W2006983627","doi":"10.1371/journal.pone.0123339","title":"The Effect of Geography and Citizen Behavior on Motor Vehicle Deaths in the United States","year":2015,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Division of Civil, Mechanical and Manufacturing Innovation; National Institute on Alcohol Abuse and Alcoholism; York University; National Institutes of Health; National Science Foundation","keywords":"Ideology; Legislation; Demography; Politics; Poison control; Injury prevention; Human factors and ergonomics; Consumption (sociology); Alcohol consumption; State (computer science); Geography; Demographic economics; Environmental health; Medicine; Law; Political science; Economics; Sociology; Alcohol","score_opus":0.040708052027292434,"score_gpt":0.2807553048440148,"score_spread":0.24004725281672235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2006983627","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982282,0.00015829432,2.1287563e-7,0.0004472548,0.000013420247,0.00041224668,0.000011287813,0.000015102462,0.0007140108],"genre_scores_gemma":[0.999779,0.000047431047,0.000009301312,0.000044901182,0.000025668378,0.00004343661,0.000006670412,0.000003167317,0.000040455172],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99910146,0.00024558825,0.00010244863,0.00009036234,0.00032365523,0.00013648637],"domain_scores_gemma":[0.9993144,0.00043433142,0.00003642994,0.00012715913,0.000042073014,0.000045582423],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010452908,0.000051643983,0.00009670865,0.000040772615,0.00015603354,0.000038015052,0.00019360815,0.00003288853,0.0000059780486],"category_scores_gemma":[0.00010171519,0.000027406775,0.00002449144,0.0002566674,0.00026967065,0.000051910756,0.0000088384095,0.00008949308,0.000001588403],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006497516,0.0001878003,0.996407,0.000008475361,0.000010859609,0.000001500313,0.0027538382,2.6612116e-7,0.00012994168,0.00007386154,0.000016056132,0.00034547536],"study_design_scores_gemma":[0.0003997736,0.0003354529,0.9957563,0.000027434973,0.000062047046,1.1341707e-8,0.001069038,0.000023954704,0.0015616912,0.00056986214,0.00014562802,0.000048757018],"about_ca_topic_score_codex":0.0046670483,"about_ca_topic_score_gemma":0.0014002569,"teacher_disagreement_score":0.0032667916,"about_ca_system_score_codex":0.0000108943295,"about_ca_system_score_gemma":0.000014651035,"threshold_uncertainty_score":0.7055212},"labels":[],"label_agreement":null},{"id":"W2007187693","doi":"10.1068/b34103","title":"Municipal Visions, Market Realities: Does Planning Guide Residential Development?","year":2010,"lang":"en","type":"article","venue":"Environment and Planning B Planning and Design","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Vision; New Urbanism; Urbanism; Implementation; Urban planning; Sustainable development; Town planning; Environmental planning; Geography; Political science; Sociology; Engineering; Civil engineering; Architecture","score_opus":0.03181092439643379,"score_gpt":0.2962988953733851,"score_spread":0.2644879709769513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007187693","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9802929,0.001395043,0.0041935835,0.00014758194,0.00043401442,0.0002714212,0.000011243893,0.00014105155,0.013113115],"genre_scores_gemma":[0.9810953,0.00008900921,0.011834754,0.00010008571,0.00040409694,0.00002041229,0.000039434726,0.00002215521,0.0063947607],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979315,0.00018480115,0.0004103023,0.0005130033,0.0004257256,0.00053468643],"domain_scores_gemma":[0.9988051,0.0005377123,0.00014310684,0.00021609031,0.000011657479,0.00028630922],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0020564992,0.00025992855,0.0002722517,0.00012354866,0.0016269182,0.000274819,0.00023468536,0.00023978938,0.0003927202],"category_scores_gemma":[0.00012302921,0.00021781486,0.00003784514,0.00007373187,0.00042087177,0.00036480735,0.00007441636,0.00043982186,0.0000070743663],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017552414,0.00003748087,0.93116534,0.000028319471,0.000046084675,0.00011438824,0.059204683,0.00022191464,0.00045062296,0.00011553101,0.006554252,0.001885851],"study_design_scores_gemma":[0.0006620906,0.00006246658,0.62664884,0.00027195032,0.000062732695,0.000005035221,0.013052488,0.00047967146,0.00042947356,0.0009709257,0.35666367,0.0006906408],"about_ca_topic_score_codex":0.00062144926,"about_ca_topic_score_gemma":0.000047015135,"teacher_disagreement_score":0.35010943,"about_ca_system_score_codex":0.000027945553,"about_ca_system_score_gemma":0.000091510905,"threshold_uncertainty_score":0.99967283},"labels":[],"label_agreement":null},{"id":"W2007584328","doi":"10.1016/j.tra.2014.04.013","title":"Evolution of latent modal captivity and mode choice patterns for commuting trips: A longitudinal analysis using repeated cross-sectional datasets","year":2014,"lang":"en","type":"article","venue":"Transportation Research Part A Policy and Practice","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Ministero dello Sviluppo Economico; Ontario Ministry of Economic Development and Innovation","keywords":"Mode choice; Modal; Mode (computer interface); Pooling; Captivity; Revealed preference; Econometrics; Scale (ratio); Preference; Computer science; Empirical research; Geography; Statistics; Economics; Engineering; Artificial intelligence; Transport engineering; Mathematics; Cartography","score_opus":0.2278573790486401,"score_gpt":0.5209821979152305,"score_spread":0.29312481886659036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007584328","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97626233,0.00005861247,0.021590114,0.00041152662,0.000025632113,0.00037514576,0.0011429072,0.000020384728,0.00011335276],"genre_scores_gemma":[0.99862766,0.000050805178,0.00056147395,0.000020747602,0.00019738596,0.000025335554,0.0004553317,0.0000068662157,0.000054389224],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974808,0.000782058,0.00041792582,0.00037027439,0.00058496953,0.00036394343],"domain_scores_gemma":[0.9961947,0.0026959134,0.00023318075,0.00018271127,0.0005302029,0.00016326239],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005707375,0.00010132639,0.00022025575,0.00029249757,0.0010151821,0.00016132982,0.00011985148,0.000114030845,0.0000225834],"category_scores_gemma":[0.001990946,0.000103511986,0.000078779354,0.00084873755,0.0004573489,0.0014296351,0.000008064331,0.00024068671,2.4710403e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042173642,0.00011292595,0.9910791,0.000098640965,0.00012799725,9.3845574e-7,0.0023616932,0.0011150262,0.00016816077,0.0043216604,0.000006476737,0.00018566719],"study_design_scores_gemma":[0.00056459167,0.00006194685,0.9840132,0.000017883565,0.00020613473,3.8091775e-7,0.00038932665,0.012469398,0.00004159438,0.00066326093,0.0014682311,0.00010405312],"about_ca_topic_score_codex":0.22277378,"about_ca_topic_score_gemma":0.07895505,"teacher_disagreement_score":0.14381872,"about_ca_system_score_codex":0.000098483106,"about_ca_system_score_gemma":0.00026022733,"threshold_uncertainty_score":0.9378516},"labels":[],"label_agreement":null},{"id":"W2007713340","doi":"10.1111/j.1365-2214.2009.01024.x","title":"Active transportation as a way to increase physical activity among children","year":2009,"lang":"en","type":"article","venue":"Child Care Health and Development","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Sherbrooke; Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Physical activity; Psychology; Environmental health; Transport engineering; Business; Medicine; Engineering; Physical medicine and rehabilitation","score_opus":0.010700338596370092,"score_gpt":0.3048072964630399,"score_spread":0.2941069578666698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007713340","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9943336,0.00012653906,0.00008497243,0.0015251286,0.000048225564,0.0006461672,0.000016191188,0.00007359559,0.0031455404],"genre_scores_gemma":[0.9980012,0.000027236541,0.00023420581,0.001459071,0.000123647,0.00002032475,0.0000893333,0.00000510429,0.000039867762],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99882305,0.000055288332,0.0001426294,0.00033310358,0.00029773705,0.00034819465],"domain_scores_gemma":[0.99908537,0.000015992702,0.00006512681,0.00009169315,0.000057729045,0.0006840965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014176285,0.00012981467,0.000198883,0.000050873005,0.00082530896,0.000035838184,0.00009613265,0.000055940356,0.00001654332],"category_scores_gemma":[0.000016981578,0.000120965095,0.00003497941,0.00018238601,0.000061602,0.00021404952,0.0000043022974,0.00014157852,0.000008344859],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008501544,0.00015749931,0.20747577,0.000019739486,0.000008464117,0.0000020238974,0.13934235,6.451872e-7,0.0000014561144,0.00017934863,0.00008806632,0.6526396],"study_design_scores_gemma":[0.00025697908,0.00008306822,0.9938635,0.00003866228,0.000003773367,1.1583729e-7,0.002697554,3.517026e-7,0.00023965015,0.00006959604,0.0025982473,0.0001484607],"about_ca_topic_score_codex":0.0051093143,"about_ca_topic_score_gemma":0.008972171,"teacher_disagreement_score":0.7863878,"about_ca_system_score_codex":0.00019224093,"about_ca_system_score_gemma":0.0006433685,"threshold_uncertainty_score":0.7723789},"labels":[],"label_agreement":null},{"id":"W2007778224","doi":"10.5198/jtlu.v7i2.701","title":"Temporal transferability of models of mode-destination choice for the Greater Toronto and Hamilton Area","year":2014,"lang":"en","type":"article","venue":"Journal of Transport and Land Use","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"Engineering and Physical Sciences Research Council","keywords":"Transferability; Econometrics; Mode choice; Mode (computer interface); Empirical evidence; Computer science; Mathematical model; Travel behavior; Operations research; Economics; Statistics; Public transport; Transport engineering; Mathematics; Engineering; Microeconomics","score_opus":0.04793105251122506,"score_gpt":0.2970587745024515,"score_spread":0.24912772199122643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007778224","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9860446,0.00033643085,0.013016762,0.00017738827,0.000058638623,0.00018547421,0.00003367321,0.00000385828,0.00014319258],"genre_scores_gemma":[0.99925214,0.00025143087,0.00035807252,0.000015711817,0.00007004074,0.0000019345155,0.0000032727582,0.00000465526,0.000042740237],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99911934,0.000040276125,0.00041971024,0.00009752453,0.0002154906,0.000107649736],"domain_scores_gemma":[0.99923265,0.00022447808,0.00017414814,0.00008516353,0.00021253977,0.000071022696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009454842,0.00007991416,0.00027415974,0.000021595615,0.00011426774,0.000015325782,0.00010720383,0.00006899905,0.000015203491],"category_scores_gemma":[0.000022199763,0.000047806527,0.00011002216,0.000040650248,0.00019654064,0.0006318542,0.0000011820508,0.00006783662,5.0996256e-9],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002759369,0.000066588655,0.990126,0.00009502788,0.000029616045,3.1337285e-7,0.0072227367,0.000112361144,0.00010599768,0.00027095084,0.0000063068956,0.0016881776],"study_design_scores_gemma":[0.0009801413,0.00017852169,0.99311084,0.000055588513,0.00017931196,6.2444377e-7,0.00026163372,0.0014087461,0.000190379,0.0024228347,0.0011348437,0.00007656541],"about_ca_topic_score_codex":0.006646992,"about_ca_topic_score_gemma":0.024961805,"teacher_disagreement_score":0.018314812,"about_ca_system_score_codex":0.000012694885,"about_ca_system_score_gemma":0.000044562817,"threshold_uncertainty_score":0.9999678},"labels":[],"label_agreement":null},{"id":"W2008629451","doi":"10.1016/j.amepre.2009.01.031","title":"Neighborhood Environments and Physical Activity Among Adults in 11 Countries","year":2009,"lang":"en","type":"article","venue":"American Journal of Preventive Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":508,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Fitness and Lifestyle Research Institute","funders":"U.S. Public Health Service","keywords":"Physical activity; Active living; Recreation; Environmental health; Environment variable; Level design; Logistic regression; Geography; Public health; Built environment; Sample (material); Data collection; Gerontology; Psychology; Medicine; Political science; Ecology","score_opus":0.006974076175139295,"score_gpt":0.290623062541564,"score_spread":0.2836489863664247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2008629451","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99656606,0.00012511062,0.00041077737,0.0021107164,0.00006166774,0.000105729276,0.000001449601,0.0000035803655,0.0006148826],"genre_scores_gemma":[0.99935484,0.00012929259,0.000034254263,0.00010680497,0.00028271953,7.369917e-7,3.9618206e-7,0.0000032302291,0.00008772391],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988555,0.00020513847,0.00021319916,0.00013347724,0.00040532896,0.00018736307],"domain_scores_gemma":[0.9992634,0.0001033913,0.00038774655,0.000068806854,0.000033541914,0.0001431165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061868434,0.00009502747,0.00037174564,0.00007826305,0.000076913864,0.000008586952,0.00014241543,0.00001979903,0.000050202816],"category_scores_gemma":[0.00009876563,0.000070603535,0.000049504615,0.00021493234,0.0014316994,0.0003734902,0.0000075908515,0.00018540256,6.226319e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014574575,0.00027506612,0.9231524,0.0000033832239,0.000014633448,0.000026283731,0.016165107,4.5983813e-7,0.000101330756,0.00014954731,0.000032715543,0.059933357],"study_design_scores_gemma":[0.00075441157,0.0006609104,0.99230546,0.000136764,0.00003620673,9.1971106e-7,0.0045486134,0.000008224988,0.0000632604,0.0010697184,0.00034634653,0.00006919556],"about_ca_topic_score_codex":0.0011272826,"about_ca_topic_score_gemma":0.00056204945,"teacher_disagreement_score":0.069153056,"about_ca_system_score_codex":0.00006752591,"about_ca_system_score_gemma":0.000049722657,"threshold_uncertainty_score":0.5275156},"labels":[],"label_agreement":null},{"id":"W2008762710","doi":"10.1016/j.gaitpost.2005.06.010","title":"Middle-old and old-old retirement dwelling adults respond differently to locomotor challenges in cluttered environments","year":2005,"lang":"en","type":"article","venue":"Gait & Posture","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"University of Guelph","keywords":"Obstacle; Age groups; Physical medicine and rehabilitation; Obstacle avoidance; Older people; Psychology; Medicine; Gerontology; Demography; Computer science; Geography; Artificial intelligence","score_opus":0.04275640391365684,"score_gpt":0.2735422931046177,"score_spread":0.23078588919096085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2008762710","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9887164,0.0023702928,0.000005240796,0.0071594827,0.0001353822,0.0007150941,0.000021157151,0.000041305437,0.0008355994],"genre_scores_gemma":[0.99497557,0.0008022066,0.00017432506,0.00079720025,0.00034352773,0.00003422621,0.000011481379,0.00001800054,0.0028434442],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99795616,0.00012693086,0.0003384579,0.00059863157,0.00047407174,0.0005057408],"domain_scores_gemma":[0.99929553,0.00004320437,0.00008397743,0.00031221964,0.000017863482,0.00024719638],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042709603,0.00022191816,0.00026236597,0.00009567581,0.00021603912,0.00006330334,0.00032420707,0.00020160121,0.00014581575],"category_scores_gemma":[0.00003097591,0.00020463615,0.00006115459,0.00014110933,0.000105616346,0.000218094,0.00005914279,0.00024826752,0.000036867317],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006955992,0.0005740464,0.8700428,0.00011297576,0.00003387092,0.000030145597,0.091697365,0.000012411797,0.0019399548,0.0004272162,0.00019986804,0.034233738],"study_design_scores_gemma":[0.00079178973,0.000100090605,0.97383857,0.00023708705,0.000016127984,1.656732e-7,0.0023648352,0.000013038751,0.00036903028,0.00019305802,0.021803034,0.00027316512],"about_ca_topic_score_codex":0.0007727962,"about_ca_topic_score_gemma":0.016209027,"teacher_disagreement_score":0.10379577,"about_ca_system_score_codex":0.00016803802,"about_ca_system_score_gemma":0.000019233266,"threshold_uncertainty_score":0.9045017},"labels":[],"label_agreement":null},{"id":"W2010116297","doi":"10.1016/j.pmedr.2015.02.008","title":"Differences in adolescents' physical activity from school-travel between urban and suburban neighbourhoods in Metro Vancouver, Canada","year":2015,"lang":"en","type":"article","venue":"Preventive Medicine Reports","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia; University of Victoria; Simon Fraser University; Vancouver Coastal Health; British Columbia Centre of Excellence for Women's Health","funders":"Canadian Cancer Society Research Institute; Canadian Institutes of Health Research; Canadian HIV Trials Network, Canadian Institutes of Health Research; Heart and Stroke Foundation of Canada","keywords":"Neighbourhood (mathematics); Geography; Demography; Physical activity; Public transport; Downtown; Medicine; Transport engineering; Sociology; Physical therapy; Mathematics; Engineering","score_opus":0.031441167726804144,"score_gpt":0.3017371462107886,"score_spread":0.27029597848398446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010116297","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99590504,0.0005648041,0.00007051905,0.00029717496,0.0007300348,0.00039754447,0.000012906225,0.000019520088,0.0020024658],"genre_scores_gemma":[0.99908406,0.000008623664,0.000010932243,0.000023652285,0.00060845306,0.000016022685,0.000011815921,0.000010209962,0.00022625239],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99738306,0.00035036396,0.00042983273,0.00057435,0.0008447559,0.00041763225],"domain_scores_gemma":[0.9987756,0.00013945311,0.000281767,0.00024279961,0.00008494032,0.00047544882],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010886294,0.0002140406,0.00066377415,0.000108403794,0.00008693136,0.000020200569,0.000175659,0.00008940901,0.00004023127],"category_scores_gemma":[0.0006869775,0.00017737296,0.000043640295,0.00046315815,0.00033461885,0.00033509065,0.00004807384,0.0003947229,3.2402093e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022986576,0.00016037551,0.9946194,0.000015672505,0.000017831408,0.00018684242,0.0028713322,1.8448941e-7,0.000017620827,0.000007492076,0.00059276074,0.0014874482],"study_design_scores_gemma":[0.0006224179,0.000040370396,0.99166477,0.00028049358,0.00004609047,8.469298e-8,0.0038198377,0.000014828581,0.0001059923,0.0030612557,0.00016009531,0.00018373987],"about_ca_topic_score_codex":0.9299565,"about_ca_topic_score_gemma":0.9837358,"teacher_disagreement_score":0.053779308,"about_ca_system_score_codex":0.00048931147,"about_ca_system_score_gemma":0.0011237703,"threshold_uncertainty_score":0.72330594},"labels":[],"label_agreement":null},{"id":"W2010333510","doi":"10.3141/2375-02","title":"Participation and Incentive Choice of Participants in an Early Vehicle Retirement Program in Quebec, Canada","year":2013,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Incentive; Incentive program; Metropolitan area; Business; Demographic economics; Cash; Multinomial logistic regression; Economics; Finance; Geography","score_opus":0.13907265505483507,"score_gpt":0.44575771694647254,"score_spread":0.30668506189163747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010333510","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957043,0.000092883216,0.000009344143,0.0023353102,0.00012924829,0.0016357601,0.000013637879,0.000008955564,0.00007059678],"genre_scores_gemma":[0.9992179,0.00014833879,0.00015300242,0.000018105704,0.000049869745,0.00017742887,0.0000071961213,0.000015878117,0.00021227154],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99327177,0.0016076907,0.001307825,0.00031731685,0.0026170448,0.0008783519],"domain_scores_gemma":[0.99647886,0.00060993986,0.00034893077,0.00024506304,0.0019200697,0.00039711458],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023089566,0.00014169807,0.00035552715,0.00046804055,0.00030132796,0.00011984592,0.0005959421,0.0001268181,0.00021672121],"category_scores_gemma":[0.00022477083,0.00011651803,0.000083296465,0.0018117782,0.0007992657,0.0014349553,0.000004368112,0.0010232178,0.0000013813615],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002797917,0.00040331722,0.9785187,0.000089985224,0.000016984275,0.000018274013,0.010159545,0.000090899244,0.00069379737,0.00026673524,0.000121924284,0.009340001],"study_design_scores_gemma":[0.00096877053,0.00025409897,0.9908212,0.00023398454,0.000013391813,4.1043535e-10,0.005727263,0.00012174567,0.00048091362,0.0008755895,0.00039366525,0.0001093823],"about_ca_topic_score_codex":0.98992074,"about_ca_topic_score_gemma":0.9997165,"teacher_disagreement_score":0.012302449,"about_ca_system_score_codex":0.00046865823,"about_ca_system_score_gemma":0.0013729879,"threshold_uncertainty_score":0.4751467},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":true,"confidence":"low"},{"model":"gpt","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":true,"confidence":"low"}],"label_agreement":"agree"},{"id":"W2010634112","doi":"10.1016/j.socscimed.2013.12.013","title":"Youth physical activity and the neighbourhood environment: Examining correlates and the role of neighbourhood definition","year":2013,"lang":"en","type":"article","venue":"Social Science & Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":78,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; Vancouver Community College; University of British Columbia","funders":"","keywords":"Neighbourhood (mathematics); Recreation; Demography; Ethnic group; Geography; Built environment; Physical activity; Psychology; Sociology; Medicine; Mathematics","score_opus":0.02105041985328027,"score_gpt":0.258387930633878,"score_spread":0.23733751078059773,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010634112","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96325487,0.00037472535,0.000055756667,0.002995912,0.00007874245,0.00037623732,0.0000030795586,0.000015928146,0.03284477],"genre_scores_gemma":[0.9994297,0.00009189329,0.0000034964044,0.000096368894,0.000335456,0.000017272834,9.785766e-7,0.000003987448,0.000020865084],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.998432,0.00021469311,0.00015344565,0.0002529541,0.0006527623,0.00029415946],"domain_scores_gemma":[0.9991021,0.0004535263,0.00017647614,0.000118850934,0.00004854863,0.0001004727],"candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.001969867,0.0001057083,0.00026836316,0.000029505312,0.0015075513,0.00006675474,0.0002959397,0.000052430612,0.00015083773],"category_scores_gemma":[0.0002830809,0.000053047206,0.00003765295,0.00033296086,0.017636467,0.0004719155,0.00005394279,0.00019388355,0.0000024276544],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012326313,0.00010036727,0.17689973,0.000007955131,0.000017065162,2.780262e-7,0.57816607,3.4079036e-7,0.001253891,0.13656752,0.000005285286,0.106858216],"study_design_scores_gemma":[0.0027523406,0.00007486548,0.7713118,0.000029981207,0.00014165821,2.8824553e-7,0.08338305,0.0005358529,0.00014252427,0.14145455,0.00003389155,0.0001391829],"about_ca_topic_score_codex":0.008750734,"about_ca_topic_score_gemma":0.000106435065,"teacher_disagreement_score":0.5944121,"about_ca_system_score_codex":0.00003154573,"about_ca_system_score_gemma":0.00007255971,"threshold_uncertainty_score":0.99979234},"labels":[],"label_agreement":null},{"id":"W2010748446","doi":"10.1177/0885412211400978","title":"Urban Form Relationships with Youth Physical Activity","year":2011,"lang":"en","type":"article","venue":"Journal of Planning Literature","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":70,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver Community College; University of British Columbia","funders":"","keywords":"Physical activity; Psychological intervention; Human factors and ergonomics; Poison control; Urban planning; Psychology; Sociology; Engineering; Environmental health; Medicine; Civil engineering","score_opus":0.07286869426439371,"score_gpt":0.30123363990349633,"score_spread":0.22836494563910262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010748446","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9867885,0.00019056712,0.00023152072,0.000094794756,0.0001458399,0.000052592044,0.000011116934,0.000018318422,0.012466718],"genre_scores_gemma":[0.99834645,0.0000017039739,0.00061884464,0.0000187159,0.00065804407,4.1079292e-7,0.0000030483677,0.0000061998476,0.00034655997],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991881,0.00009663748,0.00013182676,0.00009388049,0.00032132724,0.00016822353],"domain_scores_gemma":[0.9992797,0.000060097453,0.00026432137,0.00008952801,0.00017972587,0.0001266426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005073131,0.000087296066,0.00016385641,0.00007178288,0.00030219203,0.00009487882,0.00018423516,0.00009728981,0.000014264904],"category_scores_gemma":[0.0000615916,0.00005742332,0.00008877647,0.00029185563,0.0000946104,0.0010063822,0.0000052487353,0.0007095255,0.0000011919291],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020824363,0.00012890925,0.6944778,0.000008622956,0.000024068448,0.00006324317,0.30379617,0.0000013065822,0.000023518089,0.00060567126,0.0004911605,0.00017130055],"study_design_scores_gemma":[0.00032305025,0.00015030638,0.98957115,0.00031159763,0.000075584496,0.0000057794314,0.0058341143,0.0000064661576,0.00014347822,0.0014283044,0.0020173816,0.00013280826],"about_ca_topic_score_codex":0.000030452886,"about_ca_topic_score_gemma":0.000030301024,"teacher_disagreement_score":0.29796204,"about_ca_system_score_codex":0.000035505116,"about_ca_system_score_gemma":0.00011245945,"threshold_uncertainty_score":0.30825746},"labels":[],"label_agreement":null},{"id":"W2010840787","doi":"10.2174/1874447800701010001","title":"Transport Policy in Aging Societies: An International Comparison and Implications for Canada","year":2007,"lang":"en","type":"article","venue":"The Open Transportation Journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"","keywords":"Variety (cybernetics); Checklist; Transport policy; Context (archaeology); Developed country; Public economics; Selection (genetic algorithm); Business; Regional science; Political science; Economics; Public transport; Sociology; Psychology; Geography; Computer science","score_opus":0.047837963732927986,"score_gpt":0.4059211005104108,"score_spread":0.3580831367774828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010840787","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9723345,0.00006838566,0.0069567435,0.016809465,0.00021334969,0.00047402483,0.000077135155,0.000010848919,0.003055517],"genre_scores_gemma":[0.9980923,0.00007143253,0.0007472337,0.000494541,0.0002714417,0.000013287656,0.00006832543,0.000008262404,0.0002331751],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988476,0.000040078696,0.0004665842,0.00015363992,0.00022805271,0.00026404994],"domain_scores_gemma":[0.99934924,0.0001075805,0.00016490657,0.00009515578,0.00012937424,0.0001537167],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020471304,0.00008210622,0.00013587993,0.000063437175,0.00080769794,0.0001483233,0.00065673166,0.00004404335,0.00007168554],"category_scores_gemma":[0.000018300501,0.00006842696,0.00004141266,0.00022954807,0.00013462314,0.00083235133,0.0000020862217,0.00019153536,1.0805093e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054254993,0.000048230322,0.9632423,0.000004744959,0.000013933186,0.0000017481589,0.020046191,0.00008479793,0.000030372854,0.009516841,0.00015005251,0.006806551],"study_design_scores_gemma":[0.00049322046,0.000012327879,0.9645513,0.000013374443,0.00001585234,7.8117597e-7,0.011078941,0.000014110405,0.000025422263,0.005937805,0.017767148,0.000089711575],"about_ca_topic_score_codex":0.31244093,"about_ca_topic_score_gemma":0.96851844,"teacher_disagreement_score":0.6560775,"about_ca_system_score_codex":0.0001784769,"about_ca_system_score_gemma":0.001043998,"threshold_uncertainty_score":0.6921376},"labels":[],"label_agreement":null},{"id":"W2011070179","doi":"10.1080/07053436.2011.10707825","title":"Mobilité urbaine et loisirs sportifs de nature. Le cas de l’agglomération grenobloise (France)","year":2011,"lang":"fr","type":"article","venue":"Loisir et Société / Society and Leisure","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Sociology; Art","score_opus":0.022411953607265982,"score_gpt":0.3097369556674907,"score_spread":0.2873250020602247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2011070179","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95496255,0.023528824,0.0013641452,0.009504093,0.0010697664,0.00064998656,0.00012839382,0.00020484558,0.008587397],"genre_scores_gemma":[0.9758685,0.005162747,0.0022912093,0.0037101817,0.0007257473,0.000048477348,0.00008185796,0.000067563415,0.012043695],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9959781,0.00055801106,0.0007184323,0.00095691753,0.0005968771,0.0011916212],"domain_scores_gemma":[0.9980242,0.0002783892,0.00042303087,0.00048481635,0.00025378878,0.00053572835],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0035537684,0.00056421047,0.00071213266,0.00003293942,0.0010185001,0.00018313067,0.00051184336,0.0017838451,0.000855235],"category_scores_gemma":[0.000092447306,0.0005938897,0.0007927954,0.0006418851,0.0016672682,0.0013950621,0.00008468384,0.0019038863,0.000020128822],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010129708,0.001213886,0.637112,0.00059038645,0.000345116,0.00004981554,0.24055748,0.000065835164,0.00026658134,0.10926097,0.0031031247,0.0073335012],"study_design_scores_gemma":[0.0019521951,0.00019896835,0.7795443,0.00024040118,0.0003958959,0.000010859622,0.032869246,0.00045195926,0.0007253144,0.03648528,0.14595729,0.0011682708],"about_ca_topic_score_codex":0.01673931,"about_ca_topic_score_gemma":0.009650283,"teacher_disagreement_score":0.20768823,"about_ca_system_score_codex":0.00041188844,"about_ca_system_score_gemma":0.0013073006,"threshold_uncertainty_score":0.99965125},"labels":[],"label_agreement":null},{"id":"W2011182425","doi":"10.1007/s00291-011-0280-1","title":"The impact of client choice on preventive healthcare facility network design","year":2011,"lang":"en","type":"article","venue":"OR Spectrum","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":116,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Facility location problem; Attractiveness; Computer science; Time limit; Workload; Probabilistic logic; Quality (philosophy); Health care; Network planning and design; Operations research; Artificial intelligence; Engineering","score_opus":0.08406994656302978,"score_gpt":0.3576396471445394,"score_spread":0.2735697005815096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2011182425","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98472685,0.0002234541,0.0005246279,0.0006295861,0.00034643261,0.00072371133,0.00003440821,0.000054891843,0.012736032],"genre_scores_gemma":[0.99870324,0.000055482327,0.00008818283,0.000021138176,0.00014857187,0.000010344324,0.0000018210665,0.0000040234154,0.0009671769],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998576,0.0003321811,0.00022567999,0.0002082653,0.00024137105,0.00041649572],"domain_scores_gemma":[0.9991802,0.00024132125,0.0001394587,0.00028492592,0.00003996792,0.00011414794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010732234,0.00009851923,0.00015364906,0.0000131895395,0.00054891483,0.000022021415,0.00033285219,0.00006358649,0.0006923733],"category_scores_gemma":[0.000090385875,0.000054890697,0.00014947118,0.00026581078,0.00027063684,0.00009769304,0.000014709406,0.0001460932,0.000021692587],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007795247,0.00026098752,0.97876567,0.000011579871,0.00005981204,0.0000036195088,0.009509862,0.00005232352,0.0000042644556,0.0032275598,0.0016459947,0.005678832],"study_design_scores_gemma":[0.00012995035,0.00044744185,0.98134106,0.00001794214,0.000009603102,4.9816528e-8,0.00040543484,0.0000061892465,0.00026749165,0.01615131,0.0011352317,0.00008826562],"about_ca_topic_score_codex":0.02285644,"about_ca_topic_score_gemma":0.027105704,"teacher_disagreement_score":0.0139764035,"about_ca_system_score_codex":0.00014496472,"about_ca_system_score_gemma":0.00030789454,"threshold_uncertainty_score":0.9906471},"labels":[],"label_agreement":null},{"id":"W2011718252","doi":"10.1016/j.trd.2010.07.011","title":"A travel behavior analysis of urban cycling facilities in Montréal, Canada","year":2010,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":127,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"McGill University; Brown University","keywords":"Cycling; TRIPS architecture; Respondent; Transport engineering; Geography; Travel behavior; Business; Engineering; Forestry","score_opus":0.03863285248473865,"score_gpt":0.3110946357825869,"score_spread":0.27246178329784826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2011718252","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99778694,0.00021598389,0.000056650148,0.00028780536,0.00006945733,0.00047855102,0.00042977417,0.000012893224,0.00066196435],"genre_scores_gemma":[0.9982171,0.0005717826,0.00008487712,0.000011007352,0.000030206058,0.00011808073,0.00027576665,0.000010420924,0.0006807571],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972168,0.00008048891,0.00064143393,0.00042757986,0.0011124754,0.000521223],"domain_scores_gemma":[0.99925154,0.00011748903,0.00007475251,0.00024641296,0.000048420905,0.00026140938],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012180391,0.00015671212,0.0003978939,0.00032079642,0.00030066376,0.000014488319,0.00020506197,0.00013795607,0.0012967866],"category_scores_gemma":[0.000008014836,0.00016022369,0.00012265526,0.000684025,0.00072302675,0.00020205892,0.0000019792265,0.00047415483,0.0000011548262],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044059467,0.00019296439,0.9867258,0.000033979042,0.00007390358,0.00003643217,0.010699017,0.00016469543,0.00076860003,0.00062104745,0.000023604578,0.000615917],"study_design_scores_gemma":[0.00031432515,0.000020950361,0.9850837,0.000009236866,0.0001980227,1.9045965e-8,0.0054915524,0.000027148239,0.0002731123,0.000061296116,0.0083636725,0.00015697864],"about_ca_topic_score_codex":0.9044936,"about_ca_topic_score_gemma":0.9956411,"teacher_disagreement_score":0.09114751,"about_ca_system_score_codex":0.00007523598,"about_ca_system_score_gemma":0.00030769777,"threshold_uncertainty_score":0.99961615},"labels":[],"label_agreement":null},{"id":"W2012328187","doi":"10.3141/2133-06","title":"Modeling Location Decisions of Office Firms","year":2009,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; IBI Group (Canada)","funders":"","keywords":"Replicate; Estimation; Location model; Business; Location; Computer science; Microeconomics; Economics; Statistics; Geography; Mathematics; Management","score_opus":0.15520341208405525,"score_gpt":0.4427160940863255,"score_spread":0.28751268200227026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2012328187","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9845714,0.00040113175,0.008407971,0.004594575,0.00038616528,0.00085266744,0.000029860685,0.000028949236,0.0007272894],"genre_scores_gemma":[0.9964781,0.0010159933,0.001674084,0.000045535624,0.00024213234,0.000014382573,0.000014195066,0.000023515353,0.0004920896],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9906257,0.0013582127,0.0017971955,0.00039095193,0.004954629,0.0008733585],"domain_scores_gemma":[0.989641,0.0011349501,0.00046879187,0.00052480603,0.0077867093,0.00044371016],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008529602,0.00020106444,0.0004770085,0.0009207292,0.0012043256,0.00011855468,0.0015970615,0.0002528429,0.0003264368],"category_scores_gemma":[0.0007690983,0.00015624982,0.00044223212,0.00388815,0.00090413645,0.0011094236,0.0000035952505,0.0017536646,0.000012878306],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006496846,0.0026192265,0.7690615,0.0003936427,0.0002990484,0.00013245991,0.052830573,0.03750692,0.007276195,0.048788358,0.0057937694,0.068801425],"study_design_scores_gemma":[0.0011295668,0.0004816871,0.9647056,0.00057602674,0.00006361564,6.74024e-8,0.006553405,0.0007025105,0.0006760846,0.020864293,0.004040817,0.000206338],"about_ca_topic_score_codex":0.031553276,"about_ca_topic_score_gemma":0.13674338,"teacher_disagreement_score":0.19564405,"about_ca_system_score_codex":0.0002530741,"about_ca_system_score_gemma":0.0016613074,"threshold_uncertainty_score":0.9748957},"labels":[],"label_agreement":null},{"id":"W2012371832","doi":"10.5038/2375-0901.17.2.5","title":"Light Rail and Land Use Change: Rail Transit’s Role in Reshaping and Revitalizing Cities","year":2014,"lang":"en","type":"article","venue":"Journal of Public Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Light rail transit; Rail transit; Light rail; Transit (satellite); Investment (military); Transport engineering; Land use; Business; Land use, land-use change and forestry; Public transport; Urban rail transit; Environmental planning; Engineering; Geography; Political science; Civil engineering","score_opus":0.05871684517195903,"score_gpt":0.288062598164094,"score_spread":0.229345752992135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2012371832","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9927725,0.001706622,0.0005879803,0.004448134,0.00010752867,0.00011767291,0.0000050432714,0.000013996612,0.00024048325],"genre_scores_gemma":[0.99886805,0.00045697766,0.00023813451,0.00016629598,0.00021516159,0.0000030122756,0.000006071326,0.000007703858,0.000038618204],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99877954,0.00014294361,0.00044255916,0.00013442955,0.00030095608,0.00019957346],"domain_scores_gemma":[0.99935776,0.00009174927,0.00022058861,0.000054748325,0.00013529471,0.00013984488],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017338875,0.00009155027,0.00023194969,0.00020036305,0.0001600597,0.00018680106,0.00009062236,0.00009107721,0.000022262491],"category_scores_gemma":[0.000084293926,0.000082102066,0.000052582825,0.00022322773,0.00010151615,0.0023478179,0.0000011575682,0.00016871134,1.7115268e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028340328,0.000026297881,0.96012074,0.000054293145,0.000010161289,0.000007125648,0.028313657,0.000001467863,0.00028538067,0.0021361052,0.000020996426,0.008995425],"study_design_scores_gemma":[0.00067744916,0.00004160316,0.9802556,0.0001313563,0.000029494257,0.0000011542193,0.0025164473,0.000016833432,0.00004577177,0.0018911804,0.014289832,0.00010328563],"about_ca_topic_score_codex":0.0011465038,"about_ca_topic_score_gemma":0.030935202,"teacher_disagreement_score":0.029788697,"about_ca_system_score_codex":0.000026751019,"about_ca_system_score_gemma":0.00006156282,"threshold_uncertainty_score":0.9867477},"labels":[],"label_agreement":null},{"id":"W2012405935","doi":"10.1061/9780784412442.341","title":"Travel Behavior Analysis for Activity-Based Travel Demand Modeling: A Case Study of the Tampa Bay Region","year":2012,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Travel behavior; Context (archaeology); Descriptive statistics; Duration (music); Travel time; Space (punctuation); Computer science; Fidelity; Bay; Geography; Transport engineering; Operations research; Statistics; Mathematics; Engineering; Telecommunications","score_opus":0.11209972672793485,"score_gpt":0.35789499811505443,"score_spread":0.2457952713871196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2012405935","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9313181,0.000010600161,0.06720305,0.000089544425,0.0000742796,0.0009914829,0.000010173138,0.00001631362,0.00028646702],"genre_scores_gemma":[0.9993571,3.9410457e-7,0.00014148049,0.000023477975,0.00006424648,0.00009505007,0.0000018610142,0.0000071549416,0.00030921216],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987866,0.00016072868,0.00024595135,0.00021594454,0.00030483288,0.00028591068],"domain_scores_gemma":[0.9992535,0.00009958689,0.00011694782,0.00030916845,0.000106360596,0.000114443814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086296315,0.00010944485,0.00026637508,0.00008469875,0.00048934424,0.000025885813,0.00021553301,0.000084354535,0.000050619186],"category_scores_gemma":[0.000028289047,0.00007211815,0.00029808577,0.0006501599,0.000107371525,0.00024830597,0.000009290064,0.00008210385,2.2900853e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032151307,0.0017475727,0.9841828,0.000008370892,0.00005311067,0.0000048209345,0.013375957,0.00020846326,0.000100714235,0.000039796436,0.0000046986474,0.0002415853],"study_design_scores_gemma":[0.00090121524,0.00008835185,0.94420683,0.000003312698,0.0022673758,9.571872e-7,0.041976605,0.0095977755,0.00073177577,0.000040014333,0.000005432777,0.00018035158],"about_ca_topic_score_codex":0.022321716,"about_ca_topic_score_gemma":0.082080774,"teacher_disagreement_score":0.06803904,"about_ca_system_score_codex":0.000039666273,"about_ca_system_score_gemma":0.000094509385,"threshold_uncertainty_score":0.98418874},"labels":[],"label_agreement":null},{"id":"W2012805980","doi":"10.1016/j.ypmed.2013.12.005","title":"Influence of social and built environment features on children walking to school: An observational study","year":2013,"lang":"en","type":"article","venue":"Preventive Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":94,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto; SickKids Foundation; Institute for Clinical Evaluative Sciences; Hospital for Sick Children; Canada Research Chairs","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Observational study; Built environment; Gerontology; Environmental health; Internal medicine","score_opus":0.05627179565891683,"score_gpt":0.35570955810315347,"score_spread":0.29943776244423664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2012805980","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99714065,0.000060139417,0.000017230195,0.001555909,0.000025095784,0.0008432131,0.0000051246025,0.000013805651,0.00033884103],"genre_scores_gemma":[0.99905246,0.000004080846,0.00007152186,0.0002142423,0.00023814305,0.000034377677,0.000010306509,0.0000043627797,0.00037049822],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988547,0.00014547078,0.00019080882,0.00022939619,0.00044089177,0.00013870661],"domain_scores_gemma":[0.9995863,0.000053108033,0.000081253485,0.00010098799,0.00005541773,0.0001229585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004950813,0.00008420662,0.00016376433,0.000045348483,0.00021819002,0.000012528083,0.00017114467,0.000033183085,0.0005465107],"category_scores_gemma":[0.00014111765,0.00006559182,0.00001813212,0.00011388131,0.00024037118,0.00024408412,0.000028646342,0.000097823075,0.0000064531732],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013149452,0.00020807509,0.9745007,0.0000030502188,0.000020998861,2.9439045e-7,0.021836903,0.000012214371,0.00036329578,0.00022681315,0.00018825792,0.0026262498],"study_design_scores_gemma":[0.00033110415,0.00026127842,0.9952835,0.000024382553,0.000024152638,2.7364958e-8,0.0023744116,4.6096716e-7,0.000060956852,0.0015037797,0.000070825336,0.000065144435],"about_ca_topic_score_codex":0.0069774846,"about_ca_topic_score_gemma":0.0008456624,"teacher_disagreement_score":0.020782778,"about_ca_system_score_codex":0.000034947072,"about_ca_system_score_gemma":0.00002755623,"threshold_uncertainty_score":0.99963516},"labels":[],"label_agreement":null},{"id":"W2013191818","doi":"10.1016/j.ypmed.2014.10.022","title":"The relationship between utilitarian walking, utilitarian cycling, and body mass index in a population based cohort study of adults: Comparing random intercepts and fixed effects models","year":2014,"lang":"en","type":"article","venue":"Preventive Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan; Saskatchewan Health Authority","funders":"","keywords":"Cycling; Medicine; Body mass index; Demography; Population; Cohort; Gerontology; Environmental health; Internal medicine","score_opus":0.028169219653095247,"score_gpt":0.32092906947118005,"score_spread":0.2927598498180848,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2013191818","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9924478,0.00019460876,0.0049270256,0.0001626154,0.00009828837,0.0016129412,0.0000014743501,0.000022881643,0.000532345],"genre_scores_gemma":[0.99975586,0.0000056196513,0.000049654525,0.00000816039,0.0000762683,0.000048072245,0.000020517813,0.0000077456,0.000028086984],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974213,0.0011177697,0.00054708135,0.0003359662,0.00036914155,0.00020870687],"domain_scores_gemma":[0.99686134,0.0025800725,0.00020188987,0.00019962023,0.00006559552,0.00009145506],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043121898,0.00013793973,0.0004561577,0.00011793434,0.0003638115,0.000019680052,0.00016056129,0.00007893811,0.000008259075],"category_scores_gemma":[0.0015320946,0.000099593235,0.000032580232,0.0002386985,0.0003200368,0.00021838864,0.000028503564,0.00022948209,1.50622e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019805014,0.00006990631,0.98350924,0.000069821835,0.000024725632,4.8527846e-7,0.0139354495,0.000006282562,0.0000018954618,0.00034913654,0.0000015529586,0.0018334525],"study_design_scores_gemma":[0.0046178545,0.00015353572,0.97010976,0.00045436554,0.00010096136,2.1551857e-8,0.0038135727,0.007873963,0.0000012598241,0.012783727,0.0000039041774,0.00008705247],"about_ca_topic_score_codex":0.022935752,"about_ca_topic_score_gemma":0.03681099,"teacher_disagreement_score":0.0138752395,"about_ca_system_score_codex":0.000054614786,"about_ca_system_score_gemma":0.000022364811,"threshold_uncertainty_score":0.9835706},"labels":[],"label_agreement":null},{"id":"W2013471492","doi":"10.1186/1479-5868-7-50","title":"Deconstructing Williamsburg: Using focus groups to examine residents' perceptions of the building of a walkable community","year":2010,"lang":"en","type":"article","venue":"International Journal of Behavioral Nutrition and Physical Activity","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Research Institute for Aging; University of Waterloo","funders":"","keywords":"Perception; Focus (optics); Behavioural sciences; Clinical nutrition; Gerontology; Geography; Psychology; Medicine; Sociology; Social science; Pathology; Neuroscience; Physics","score_opus":0.0442313640901765,"score_gpt":0.3872968860955743,"score_spread":0.34306552200539775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2013471492","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99882174,0.0000047571953,0.000349521,0.000324518,0.000332177,0.00009568569,0.00003100266,0.0000036131635,0.000036995123],"genre_scores_gemma":[0.9988282,0.0000042746688,0.00089524407,0.000007683098,0.00025551132,0.0000011309193,5.429621e-7,0.0000034935704,0.0000039615775],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99904555,0.0001577035,0.00022574524,0.00006652102,0.00041651912,0.000087974564],"domain_scores_gemma":[0.998951,0.0001328291,0.0003230984,0.00008639409,0.0004295404,0.000077118726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041180418,0.00006271698,0.00017626783,0.00007317671,0.00023611686,0.000035375815,0.00031323227,0.000046151123,0.000031916632],"category_scores_gemma":[0.0000668821,0.00005048237,0.00013932509,0.00015167991,0.00032161095,0.0004870465,0.00005509855,0.0004264059,9.367498e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007839731,0.0015032308,0.41789204,0.000011719553,0.000015346866,0.0000011563682,0.0029038729,0.0000037021941,0.5641133,0.0004831028,0.0000057455,0.012988387],"study_design_scores_gemma":[0.00051048095,0.00007271111,0.9356827,0.00017124112,0.000054782962,0.0000073435217,0.0020561886,0.00003429443,0.05537459,0.0059282156,0.00003105458,0.00007640753],"about_ca_topic_score_codex":0.0059527233,"about_ca_topic_score_gemma":0.0016598456,"teacher_disagreement_score":0.5177906,"about_ca_system_score_codex":0.000047983274,"about_ca_system_score_gemma":0.000055688794,"threshold_uncertainty_score":0.89987767},"labels":[],"label_agreement":null},{"id":"W2013692542","doi":"10.1061/(asce)up.1943-5444.0000220","title":"Choice of Land Use Development Type within Commercial and Industrial Zoning","year":2014,"lang":"en","type":"article","venue":"Journal of Urban Planning and Development","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Multinomial logistic regression; Zoning; Economies of agglomeration; Factory (object-oriented programming); Land use; Logit; Transport engineering; Econometrics; Business; Economic geography; Geography; Economics; Computer science; Engineering; Civil engineering; Statistics; Economic growth; Mathematics","score_opus":0.10195865434442447,"score_gpt":0.31762143024897127,"score_spread":0.2156627759045468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2013692542","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99858254,0.00030347717,0.00029044933,0.000070182155,0.0003543241,0.000055214496,5.6723576e-7,0.000007994559,0.00033525334],"genre_scores_gemma":[0.9942913,0.0000073900605,0.005237984,0.000051462852,0.0002451017,4.5504203e-7,0.000002282011,0.000005446135,0.00015860004],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987426,0.000084418636,0.00054298516,0.00011282715,0.00034592132,0.00017127249],"domain_scores_gemma":[0.9990178,0.00023023172,0.00039728722,0.000045956913,0.00014882752,0.00015993185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014471528,0.000101348145,0.00026704755,0.000108442895,0.0003076213,0.000079832695,0.000109255154,0.00009736582,0.000010728747],"category_scores_gemma":[0.00033110168,0.00008305828,0.0000176295,0.000120192686,0.0001125481,0.00023705061,0.000026444879,0.00021797117,4.790578e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008564926,0.000027928967,0.9657374,0.00001359668,0.000035730813,0.0000038876183,0.026443511,0.000009629885,0.000023938763,0.000025632426,0.00049945194,0.0070936414],"study_design_scores_gemma":[0.00072897883,0.00006460042,0.9117339,0.00023107383,0.000016879429,0.0000021339733,0.00058039965,0.0000065913,0.00034593296,0.00001732195,0.086145744,0.00012641399],"about_ca_topic_score_codex":0.00016477796,"about_ca_topic_score_gemma":0.0002237168,"teacher_disagreement_score":0.085646294,"about_ca_system_score_codex":0.000042508233,"about_ca_system_score_gemma":0.00049425167,"threshold_uncertainty_score":0.3387018},"labels":[],"label_agreement":null},{"id":"W2013728420","doi":"10.1016/j.healthplace.2009.08.001","title":"Key stakeholder perspectives on the development of walkable neighbourhoods","year":2009,"lang":"en","type":"article","venue":"Health & Place","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":53,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University; Health Sciences Centre; Alberta Health Services; University of Alberta","funders":"Canadian Institutes of Health Research; University of Alberta; U.S. Department of Agriculture; Canada Research Chairs; Government of Canada; Heart and Stroke Foundation of Canada","keywords":"Neighbourhood (mathematics); Stakeholder; Business; Work (physics); Public relations; Built environment; Private sector; Urban planning; Physical activity; Marketing; Economic growth; Political science; Engineering; Medicine; Economics","score_opus":0.07582515646919138,"score_gpt":0.34382087503351677,"score_spread":0.26799571856432536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2013728420","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9216521,0.0006446241,0.00019140913,0.023519676,0.00009529424,0.00037250426,0.0000040086356,0.000050003087,0.053470418],"genre_scores_gemma":[0.996482,0.00004536578,0.000936893,0.00095923373,0.00007584913,0.000004899964,0.0000016127043,0.0000037629852,0.0014903944],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99874187,0.00013764366,0.0002525463,0.00019163407,0.0003514181,0.00032487817],"domain_scores_gemma":[0.9994124,0.00012664843,0.00012013458,0.00017086756,0.000059790367,0.00011014475],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013754191,0.00007931757,0.00014329975,0.000027999076,0.0006852588,0.000024224004,0.00021120773,0.000043185453,0.00042401956],"category_scores_gemma":[0.000067248475,0.00005491057,0.00003369339,0.0002237704,0.00010167935,0.000096409385,0.0000052774385,0.00013894709,0.000016458287],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014572019,0.00081911724,0.0410548,0.00006407388,0.000023604112,0.0000018724991,0.80919397,0.000020466428,0.00005238143,0.1032148,0.010118949,0.035290238],"study_design_scores_gemma":[0.00044868494,0.00023181908,0.77117413,0.00012078279,0.0000064663654,1.1098583e-7,0.117556855,0.000014103382,0.00048131694,0.0027911214,0.10691775,0.000256876],"about_ca_topic_score_codex":0.00076397404,"about_ca_topic_score_gemma":0.002852656,"teacher_disagreement_score":0.7301193,"about_ca_system_score_codex":0.00020316956,"about_ca_system_score_gemma":0.0010230726,"threshold_uncertainty_score":0.52705264},"labels":[],"label_agreement":null},{"id":"W2013764881","doi":"10.1080/14733285.2013.812311","title":"Does the walkability of neighbourhoods affect children's independent mobility, independent of parental, socio-cultural and individual factors?","year":2013,"lang":"en","type":"article","venue":"Children s Geographies","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":103,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"National Medical Research Council; National Health and Medical Research Council; Canadian Institutes of Health Research","keywords":"Walkability; Neighbourhood (mathematics); Affect (linguistics); Psychology; Geography; Built environment; Developmental psychology; Environmental health; Medicine; Ecology; Communication","score_opus":0.01631045506273561,"score_gpt":0.27075587903770243,"score_spread":0.25444542397496683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2013764881","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99653554,0.00096085615,0.0000028696534,0.00034465737,0.00020633375,0.001476516,0.00023012729,0.000070164635,0.00017291532],"genre_scores_gemma":[0.9992122,0.00045224171,0.000024518144,0.000024136296,0.00010704897,0.00004503206,0.000097943615,0.000013686695,0.000023185705],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969211,0.0003822014,0.0006458839,0.000561675,0.0009843893,0.0005047247],"domain_scores_gemma":[0.99838156,0.00026271594,0.00041950584,0.0005312446,0.00022018379,0.00018481453],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0010645672,0.00033297454,0.0005388823,0.00016853269,0.0007600298,0.00018632505,0.000883063,0.0002605363,0.0006083466],"category_scores_gemma":[0.00011950063,0.0001696627,0.0003982126,0.0006188185,0.0040368945,0.00073613937,0.0002501634,0.00038599907,0.0000021282613],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012699169,0.00032965647,0.98768896,0.000029010778,0.0002305671,9.863053e-8,0.009283499,6.990848e-7,0.00005820307,0.0002625561,0.00008171939,0.0020223162],"study_design_scores_gemma":[0.00040721105,0.00007896594,0.9868964,0.000023643652,0.00013178424,4.7062247e-7,0.007424178,4.460819e-7,0.00093243975,0.0038567863,0.000009236392,0.00023842975],"about_ca_topic_score_codex":0.041410606,"about_ca_topic_score_gemma":0.006489669,"teacher_disagreement_score":0.03492094,"about_ca_system_score_codex":0.000028825982,"about_ca_system_score_gemma":0.00007544101,"threshold_uncertainty_score":0.99867356},"labels":[],"label_agreement":null},{"id":"W2013800293","doi":"10.1080/17441692.2011.634815","title":"An estimation of the worldwide economic and health burden of visual impairment","year":2011,"lang":"en","type":"article","venue":"Global Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":171,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University; CNIB Foundation","funders":"","keywords":"Estimation; Visual impairment; Environmental health; Medicine; Economics; Psychiatry","score_opus":0.05234682901088366,"score_gpt":0.3700629533840981,"score_spread":0.31771612437321445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2013800293","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9860649,0.00015394838,0.00027632818,0.01017664,0.00015475866,0.00034409363,0.000041749438,0.000023085266,0.0027644855],"genre_scores_gemma":[0.9991562,0.000030756866,0.00041247738,0.00032719885,0.00004525972,0.0000027956605,0.000006064112,0.0000023103476,0.000016973996],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99877286,0.00021655542,0.00038641837,0.00015835236,0.00017379201,0.00029201063],"domain_scores_gemma":[0.9992034,0.000009914499,0.0003134127,0.00016871192,0.000034278328,0.00027030276],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002073605,0.00006136953,0.0001845705,0.000030101304,0.00021696315,0.000019544543,0.00022494953,0.000035411413,0.00007577645],"category_scores_gemma":[0.0000172946,0.000047564434,0.00003703159,0.00021612218,0.0002502044,0.00030452223,0.000019912512,0.000046685414,0.0000013575127],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000128948595,0.00029224306,0.8319314,0.000104848565,0.000011507224,7.5635924e-8,0.01888704,0.000019651849,5.8288146e-7,0.047118444,0.0004685471,0.10115274],"study_design_scores_gemma":[0.00016381485,0.00019584673,0.99332917,0.000015998065,0.000002003504,1.3149979e-7,0.0016279679,0.00034476255,0.000003308904,0.0035364812,0.00073538016,0.000045151046],"about_ca_topic_score_codex":0.12576832,"about_ca_topic_score_gemma":0.019973915,"teacher_disagreement_score":0.16139773,"about_ca_system_score_codex":0.00035507267,"about_ca_system_score_gemma":0.0021990577,"threshold_uncertainty_score":0.997909},"labels":[],"label_agreement":null},{"id":"W2013880624","doi":"10.3828/tpr.2010.9","title":"Bus rapid transit in Ottawa, 1978 to 2008: <i>Assessing the results</i>","year":2010,"lang":"en","type":"article","venue":"Town Planning Review","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Bus rapid transit; Public transport; Light rail transit; Transport engineering; Rail transit; Transit system; Transit (satellite); Business; Engineering","score_opus":0.038459240789637125,"score_gpt":0.3613141472318726,"score_spread":0.32285490644223547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2013880624","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6097031,0.09141129,0.00010344227,0.049999975,0.0013434774,0.002035762,0.00005713665,0.0002508114,0.245095],"genre_scores_gemma":[0.9920646,0.0017428257,0.0004866142,0.004285349,0.00037086397,0.000037417525,0.000025014742,0.000010690962,0.0009765998],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99821347,0.00018029595,0.0005251877,0.00033117025,0.00034422782,0.00040564343],"domain_scores_gemma":[0.99906313,0.0002415754,0.00011743787,0.0003782668,0.00005700665,0.00014259524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003804229,0.00014358005,0.0003274341,0.00004483343,0.00041172968,0.0001251121,0.0005706058,0.00008822065,0.0004927325],"category_scores_gemma":[0.00046989392,0.00009855027,0.00010012407,0.00075180316,0.0001555664,0.00029740974,0.0000150967035,0.00048547858,0.000049591305],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005806146,0.0002809104,0.360984,0.0013959142,0.000037324142,0.00016480537,0.032978397,0.000038906517,0.0014271238,0.00071290584,0.20052987,0.4013918],"study_design_scores_gemma":[0.00014807169,0.000009986952,0.11787198,0.0015907327,0.000027790946,8.127901e-7,0.00018761528,0.0000030410765,0.000026274742,0.000074674776,0.8798941,0.000164931],"about_ca_topic_score_codex":0.0017714693,"about_ca_topic_score_gemma":0.003162958,"teacher_disagreement_score":0.6793642,"about_ca_system_score_codex":0.000025553254,"about_ca_system_score_gemma":0.00017216934,"threshold_uncertainty_score":0.53950757},"labels":[],"label_agreement":null},{"id":"W2013883725","doi":"10.1016/j.landurbplan.2014.02.002","title":"Walking accessibility to urban parks by children: A case study of Montreal","year":2014,"lang":"en","type":"article","venue":"Landscape and Urban Planning","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":210,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal; McMaster University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Geography; Distribution (mathematics); Environmental planning; Population; Transport engineering; Regional science; Business; Sociology; Demography","score_opus":0.012316343591375005,"score_gpt":0.2860041314013448,"score_spread":0.2736877878099698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2013883725","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99415827,0.0004611717,0.0000951193,0.00003910654,0.0000806647,0.00040563726,0.000017475877,0.0000710336,0.0046715466],"genre_scores_gemma":[0.99940616,0.000002414787,0.000037882433,0.000074720745,0.00022776912,0.000013522326,0.00001510501,0.0000111222125,0.00021130055],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99836123,0.00018678475,0.00035128483,0.00045664806,0.00028840647,0.0003556423],"domain_scores_gemma":[0.9991565,0.00015397715,0.00012858624,0.0002709495,0.000049850147,0.00024015931],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084657804,0.00016610207,0.0003301349,0.000074036274,0.00049893773,0.00010969413,0.00023156486,0.000096269476,0.000049843635],"category_scores_gemma":[0.00007522756,0.00014307331,0.00004723738,0.00027443035,0.00007243165,0.00025804984,0.000051205054,0.00015814562,0.0000012414362],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004209803,0.00020441134,0.9466271,0.000010969909,0.000024713936,0.00004096897,0.047531523,0.0000050210997,0.000017445898,0.000009968462,0.0036672663,0.0018185363],"study_design_scores_gemma":[0.0008570455,0.00023397621,0.9840504,0.000032548018,0.000060614137,0.000006323386,0.01349643,0.00012323757,0.00002596814,0.000051571395,0.0008293628,0.0002325526],"about_ca_topic_score_codex":0.005711111,"about_ca_topic_score_gemma":0.002952727,"teacher_disagreement_score":0.03742329,"about_ca_system_score_codex":0.000013838692,"about_ca_system_score_gemma":0.000026988324,"threshold_uncertainty_score":0.8633529},"labels":[],"label_agreement":null},{"id":"W2014036005","doi":"10.5539/jsd.v3n2p194","title":"Understanding the Importance of Sustainable Buildings in Occupants Environmental Health and Comfort","year":2010,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Architectural engineering; Environmental quality; Architecture; Environmental planning; Business; Built environment; Quality (philosophy); Environmental resource management; Environmental science; Civil engineering; Engineering; Ecology; Geography","score_opus":0.029325865902398017,"score_gpt":0.2869686194705276,"score_spread":0.2576427535681296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014036005","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969075,0.00040441894,0.00027401725,0.0013646561,0.00007015421,0.00032466985,5.0784786e-7,0.0000042003658,0.00064992014],"genre_scores_gemma":[0.998039,0.000116455696,0.0006764072,0.0001652776,0.00003823709,0.0000033888534,8.9128855e-7,0.000006943087,0.00095337955],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981108,0.000060629936,0.00067456515,0.00013284228,0.00047687898,0.0005443024],"domain_scores_gemma":[0.9990035,0.00008121631,0.0005541791,0.00009979867,0.00007758165,0.00018368114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037986934,0.00010607794,0.0002673701,0.00017084781,0.0005747509,0.000061818064,0.00028818523,0.00006602042,0.00006207451],"category_scores_gemma":[0.00010442215,0.000078947225,0.000043508207,0.0002977923,0.00035053096,0.0005361661,0.000058586786,0.00036249674,1.5774204e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005458126,0.00009172418,0.94759434,0.000081474245,0.000016039196,0.00011491535,0.033388764,0.000003632896,0.00003783835,0.018204922,0.00020085016,0.00021089848],"study_design_scores_gemma":[0.00051405834,0.000053371637,0.535716,0.000032404132,0.0000061294577,0.0000053592803,0.433766,0.0000021441967,0.0001059002,0.0075580096,0.022127472,0.00011315642],"about_ca_topic_score_codex":0.00039189289,"about_ca_topic_score_gemma":0.0008037404,"teacher_disagreement_score":0.41187838,"about_ca_system_score_codex":0.0009349442,"about_ca_system_score_gemma":0.0018753987,"threshold_uncertainty_score":0.44205773},"labels":[],"label_agreement":null},{"id":"W2014064929","doi":"10.1016/j.ypmed.2009.05.001","title":"A multi-site comparison of environmental characteristics to support workplace walking","year":2009,"lang":"en","type":"article","venue":"Preventive Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Audit; Medicine; Pedestrian; Scale (ratio); Intervention (counseling); Environmental audit; Psychological intervention; Transport engineering; Operations management; Geography; Nursing; Accounting; Business; Engineering; Cartography","score_opus":0.03298647666368707,"score_gpt":0.3540901649562202,"score_spread":0.3211036882925331,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014064929","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99429506,0.00015724332,0.0024109064,0.0007753736,0.00019393016,0.00035236115,0.000022422242,0.000027191832,0.001765487],"genre_scores_gemma":[0.99674934,0.00001665549,0.000731202,0.00017532211,0.00019381396,0.000003804971,0.00003303605,0.0000047944263,0.0020920318],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987213,0.000091234,0.00037327365,0.00021705552,0.00036521605,0.00023193528],"domain_scores_gemma":[0.9994601,0.00005675898,0.00016435215,0.00014319422,0.00002465471,0.00015093543],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006426456,0.00010369036,0.00032276614,0.000058991,0.00013028464,0.0000068280265,0.0001930078,0.000049026814,0.00125193],"category_scores_gemma":[0.00010458339,0.00009007255,0.000052227126,0.0001713882,0.0002286669,0.00010125324,0.000017804257,0.000113159265,0.000027131831],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048946506,0.0002981811,0.8903484,0.000011003248,0.000011798971,0.000004421962,0.053975806,2.6850873e-7,0.008483576,0.00003601759,0.0003213976,0.046460226],"study_design_scores_gemma":[0.00040968868,0.00024534977,0.9906955,0.000096076066,0.000045059074,7.995067e-8,0.0032142436,0.000015023887,0.0005484468,0.000081813145,0.004551604,0.00009711175],"about_ca_topic_score_codex":0.00013421028,"about_ca_topic_score_gemma":0.00027801964,"teacher_disagreement_score":0.10034715,"about_ca_system_score_codex":0.00006485159,"about_ca_system_score_gemma":0.000027863376,"threshold_uncertainty_score":0.9996611},"labels":[],"label_agreement":null},{"id":"W2014223195","doi":"10.1177/0042098008098208","title":"Exploring Social Mobilities: Narratives of Walking and Driving in Auckland, New Zealand","year":2008,"lang":"en","type":"article","venue":"Urban Studies","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":66,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Facilitator; Mobilities; Perception; Narrative; Sociology; Psychology; Social psychology; Social science","score_opus":0.1653607578834837,"score_gpt":0.33596754839203136,"score_spread":0.17060679050854766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014223195","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99487895,0.002939339,0.0000034096215,0.00040043445,0.0001217075,0.0001104907,0.0000012663246,0.000029577424,0.0015148082],"genre_scores_gemma":[0.9970651,0.00073132355,0.00009415985,0.0000092528635,0.00025451186,0.000013454572,5.3680884e-7,0.0000052478817,0.0018263682],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99907136,0.0000695367,0.00024363624,0.00019374905,0.00019341697,0.000228291],"domain_scores_gemma":[0.99963444,0.00014148145,0.00007310712,0.00005918948,0.000048103324,0.000043656793],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003084574,0.000096954376,0.0002932223,0.00006904429,0.00048689605,0.000011390519,0.00008733573,0.00003331533,0.000017294595],"category_scores_gemma":[0.0001119013,0.00008673497,0.000042837863,0.0002103961,0.0006408887,0.00041471588,0.000034614233,0.000086395514,5.1291687e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000059916056,0.000012696815,0.5820544,0.0000114786735,0.000015861182,0.0000024209041,0.4167667,2.0380233e-7,0.000021126845,0.00015099777,0.0003693376,0.00058878225],"study_design_scores_gemma":[0.00028795615,0.000019625302,0.83607197,0.00005710102,0.0000066393654,1.2514285e-7,0.15865228,3.8571056e-7,0.00005299259,0.0019753142,0.0027660255,0.0001095716],"about_ca_topic_score_codex":0.001533133,"about_ca_topic_score_gemma":0.012125362,"teacher_disagreement_score":0.25811443,"about_ca_system_score_codex":0.000048087117,"about_ca_system_score_gemma":0.00007264278,"threshold_uncertainty_score":0.67662364},"labels":[],"label_agreement":null},{"id":"W2014670892","doi":"10.1038/ijo.2010.36","title":"Changes in BMI over 6 years: the role of demographic and neighborhood characteristics","year":2010,"lang":"en","type":"article","venue":"International Journal of Obesity","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":88,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alberta Health Services; Dalhousie University; University of Alberta","funders":"Canadian Institutes of Health Research","keywords":"Walkability; Socioeconomic status; Body mass index; Longitudinal study; Demography; Obesity; Disadvantaged; Gerontology; Built environment; Psychology; Medicine; Geography; Environmental health; Physical activity; Population; Sociology","score_opus":0.007656049269951139,"score_gpt":0.27308511947191844,"score_spread":0.2654290702019673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014670892","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99824935,0.00008567619,0.000010159157,0.000653817,0.00045357077,0.00003462788,0.000008428315,0.0000020500997,0.00050231535],"genre_scores_gemma":[0.9994361,0.000109132256,0.000048769252,0.0000502236,0.00034063542,3.3568327e-7,6.4618825e-7,0.000002003738,0.000012157909],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99933356,0.000035988785,0.00018569446,0.000050620598,0.00032378006,0.00007032719],"domain_scores_gemma":[0.9994533,0.00007523467,0.00021405592,0.000048543992,0.00017148713,0.0000373957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006136704,0.00003725,0.0000925459,0.000081405604,0.000028744094,0.000033534772,0.00031927283,0.00004499169,0.00012188766],"category_scores_gemma":[0.00010599471,0.00002766875,0.00004251481,0.00008015509,0.00017269095,0.00015947822,0.000019936771,0.00021061333,4.0954953e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018922952,0.00008538949,0.9872043,0.0000011597841,0.000015367235,0.000006440987,0.001539452,6.2763704e-8,0.0012776031,0.0024161967,0.00000526099,0.00742983],"study_design_scores_gemma":[0.00014879437,0.000016408841,0.9892162,0.0000151841805,0.0000075086414,0.0000015587775,0.00023817539,0.0000089746745,0.00022127389,0.00798213,0.0021154808,0.000028290166],"about_ca_topic_score_codex":0.0003722477,"about_ca_topic_score_gemma":0.0065649943,"teacher_disagreement_score":0.0074015395,"about_ca_system_score_codex":0.000011759045,"about_ca_system_score_gemma":0.000059546226,"threshold_uncertainty_score":0.3663421},"labels":[],"label_agreement":null},{"id":"W2015182611","doi":"10.1016/j.jtrangeo.2013.01.004","title":"Exposure to weather and implications for travel behaviour: introducing empirical evidence from Europe and Canada","year":2013,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Empirical evidence; Meteorology; Poison control; Geography; Economic geography; Environmental health; Medicine","score_opus":0.029663889630801285,"score_gpt":0.29285653932635203,"score_spread":0.26319264969555073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015182611","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9846041,0.0009984697,0.0016611101,0.012174939,0.00014056658,0.00030983269,0.00006184542,0.0000068448517,0.000042260344],"genre_scores_gemma":[0.9967099,0.00021530982,0.0024534548,0.00033247547,0.00023467587,0.000012610612,0.0000033872432,0.000009130991,0.00002907377],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99889,0.00003485968,0.00040845436,0.00021853234,0.00022981259,0.00021835885],"domain_scores_gemma":[0.9989131,0.00014357099,0.000141299,0.00012719934,0.00033987456,0.00033496646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041403962,0.00010663548,0.00023353829,0.00009163167,0.00025542005,0.000057156565,0.00021151261,0.00005536399,0.00007243035],"category_scores_gemma":[0.00004294927,0.00008840898,0.000094549796,0.00022577606,0.00012397279,0.00039599338,0.000004373188,0.00014074276,2.0152451e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021424035,0.000030195042,0.99425286,0.0000074119466,0.000025444624,0.0000021283447,0.0021878013,0.000002226703,0.0004888768,0.00000885229,0.0007798405,0.0021929275],"study_design_scores_gemma":[0.00018510975,0.00007951807,0.9963143,0.000049802893,0.00010402415,0.000001004479,0.0005197129,4.6131723e-7,0.000042847794,0.00032926133,0.0022669684,0.000106988446],"about_ca_topic_score_codex":0.4315137,"about_ca_topic_score_gemma":0.569038,"teacher_disagreement_score":0.13752429,"about_ca_system_score_codex":0.00001980425,"about_ca_system_score_gemma":0.00027060084,"threshold_uncertainty_score":0.5722719},"labels":[],"label_agreement":null},{"id":"W2015674005","doi":"10.7202/056297ar","title":"Asymétrie occupationnelle et localisation résidentielle des familles à double revenu à Montréal","year":2005,"lang":"fr","type":"article","venue":"Recherches sociographiques","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Geography; Sociology; Art","score_opus":0.127849713137559,"score_gpt":0.3707594155546693,"score_spread":0.2429097024171103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015674005","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8844239,0.075687,0.0043108403,0.01760302,0.0005844785,0.0005866682,0.000049410723,0.00034102285,0.016413677],"genre_scores_gemma":[0.9459331,0.030292531,0.009531325,0.0006330241,0.0009936548,0.000057971414,0.00008230016,0.000048856,0.012427207],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9961157,0.0013257877,0.0006891516,0.0006090649,0.00055009057,0.0007102346],"domain_scores_gemma":[0.9982152,0.00047916328,0.0003015724,0.00036887763,0.00036967808,0.0002654906],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0033416392,0.00038167622,0.0004329796,0.00023333658,0.00089100865,0.00021601007,0.00043242192,0.00088906963,0.00038031684],"category_scores_gemma":[0.00014731327,0.00041084457,0.0005852588,0.0015512448,0.0017046835,0.0017929658,0.000054355012,0.00069501734,0.00013630728],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013523735,0.0007993905,0.77989984,0.00021966537,0.00022897728,0.0000064266337,0.115094475,0.00009014746,0.000111157875,0.016673665,0.021711484,0.06502956],"study_design_scores_gemma":[0.0018914544,0.0002123686,0.6221033,0.0006085707,0.00046544021,0.000002093655,0.016414518,0.0003814837,0.004378954,0.24998264,0.10209429,0.0014648888],"about_ca_topic_score_codex":0.21120255,"about_ca_topic_score_gemma":0.19286679,"teacher_disagreement_score":0.23330899,"about_ca_system_score_codex":0.0017042415,"about_ca_system_score_gemma":0.00033984243,"threshold_uncertainty_score":0.99983436},"labels":[],"label_agreement":null},{"id":"W2015937111","doi":"10.3141/2217-09","title":"Demographic Analysis of Route Choice for Public Transit","year":2011,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Categorical variable; Public transport; Mode choice; Discrete choice; Population; Transit (satellite); Travel behavior; Descriptive statistics; Set (abstract data type); Geography; Transport engineering; Demography; Econometrics; Computer science; Statistics; Engineering; Economics; Mathematics; Sociology","score_opus":0.2301038684123561,"score_gpt":0.4309551873776567,"score_spread":0.2008513189653006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015937111","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99013317,0.0002950386,0.0048476993,0.0019277208,0.00038739492,0.0013620331,0.000241748,0.00003095096,0.0007742413],"genre_scores_gemma":[0.99653506,0.00064346264,0.002001945,0.000031634347,0.00015585501,0.00008721814,0.000040266357,0.000037289086,0.00046724733],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99077666,0.0015848316,0.0019094681,0.00048832747,0.0040804213,0.0011603101],"domain_scores_gemma":[0.98931277,0.0017076748,0.0007523701,0.0005673982,0.007083352,0.00057645066],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.010361772,0.00024024416,0.0007832919,0.0027771073,0.0011993736,0.00010957461,0.0019821455,0.00029777386,0.00091552513],"category_scores_gemma":[0.00042595196,0.00018956052,0.0014516702,0.009436369,0.0019630834,0.0011797855,0.0000037362595,0.0013876574,0.0000026504215],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00089399546,0.000463355,0.96943265,0.00015724932,0.0010625896,0.0000117540385,0.014356553,0.00007112856,0.00043276564,0.009005266,0.0004476455,0.0036650233],"study_design_scores_gemma":[0.001036526,0.00034717002,0.97412187,0.0000916049,0.0007128563,1.5131523e-8,0.0042249053,0.00005194907,0.00052383373,0.0048149587,0.01389236,0.00018192903],"about_ca_topic_score_codex":0.067997016,"about_ca_topic_score_gemma":0.5972871,"teacher_disagreement_score":0.5292901,"about_ca_system_score_codex":0.00017991269,"about_ca_system_score_gemma":0.0013178197,"threshold_uncertainty_score":0.9999978},"labels":[],"label_agreement":null},{"id":"W2016105334","doi":"10.1016/j.jaging.2011.07.001","title":"The influence of neighborhood residential density, physical and social environments on older adults' physical activity: An exploratory study in two metropolitan areas","year":2011,"lang":"en","type":"article","venue":"Journal of Aging Studies","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":130,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"National Institute on Aging; Canadian Institutes of Health Research","keywords":"Metropolitan area; Photovoice; Gerontology; Exploratory research; Geography; Physical activity; Population; Psychology; Public transport; Socioeconomics; Sociology; Demography; Medicine; Transport engineering; Economic growth","score_opus":0.039866767465889616,"score_gpt":0.35360292451582104,"score_spread":0.3137361570499314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2016105334","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99947256,0.00010251268,0.000002033936,0.00013852057,0.000079515696,0.0001404463,0.0000011357208,0.00000463025,0.000058663885],"genre_scores_gemma":[0.999609,0.000035273268,0.00000462105,0.00001659293,0.0003191598,0.0000030628335,4.085404e-8,0.0000061924925,0.000006066586],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984742,0.0003644334,0.00023474389,0.00016402546,0.0005585885,0.00020400475],"domain_scores_gemma":[0.999261,0.00017299403,0.00032147625,0.00010226109,0.00008986151,0.000052390726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072674936,0.000117912314,0.00035177064,0.00006682983,0.00048288575,0.00002864561,0.0002197004,0.000017889652,8.6038483e-7],"category_scores_gemma":[0.000072542505,0.00007981224,0.000079964484,0.0001223602,0.00065572973,0.0005823594,0.00006737263,0.00025149813,3.850818e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015542949,0.0014242367,0.7300666,0.000008574708,0.000120700235,0.000018854473,0.26673383,0.0000013689005,0.00010988482,0.00027238092,0.0000044464596,0.0010836774],"study_design_scores_gemma":[0.0006359453,0.00023364804,0.8587599,0.00004178145,0.00007159364,1.2968702e-7,0.13782257,0.000001673328,0.00046803415,0.0018941355,0.0000014784702,0.00006911481],"about_ca_topic_score_codex":0.0005807436,"about_ca_topic_score_gemma":0.0041762525,"teacher_disagreement_score":0.12891127,"about_ca_system_score_codex":0.00013195154,"about_ca_system_score_gemma":0.000049939168,"threshold_uncertainty_score":0.37140155},"labels":[],"label_agreement":null},{"id":"W2016624298","doi":"10.1590/0102-311x00044513","title":"Possibilities and challenges for physical and social environment research in Brazil: a systematic literature review on health behaviors","year":2013,"lang":"en","type":"review","venue":"Cadernos de Saúde Pública","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Systematic review; Recreation; Built environment; Psychological intervention; Physical activity; Diversification (marketing strategy); Psychology; Environmental health; Gerontology; Applied psychology; Medicine; MEDLINE; Political science; Engineering; Business","score_opus":0.2032947858341979,"score_gpt":0.4618305993700885,"score_spread":0.2585358135358906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2016624298","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00027707074,0.9846392,5.7322245e-7,0.007834263,0.00003814311,0.0068709366,0.00011639382,0.000031502703,0.0001918774],"genre_scores_gemma":[0.0004589324,0.9963147,0.000030210236,0.00018781943,0.00033945718,0.0022516192,0.000053401604,0.000040018116,0.0003238609],"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","domain_scores_codex":[0.9952273,0.0018792315,0.0007399497,0.00081264565,0.0005903148,0.0007505844],"domain_scores_gemma":[0.9980094,0.0010391555,0.00031013205,0.00033736712,0.00005867495,0.000245284],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003634068,0.00037648002,0.0021548697,0.00022918319,0.0005337249,0.00019202902,0.00038786302,0.00044411872,0.00001559163],"category_scores_gemma":[0.00016045127,0.0002863325,0.00029166506,0.00027767383,0.0006184897,0.00017671181,0.00006903211,0.00093002006,0.000009559748],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000039052297,0.00013333185,0.000019787352,0.74311227,0.000021043565,0.0000037342165,0.011863606,1.9455402e-9,2.9819823e-8,0.0021720557,0.00036545875,0.2423048],"study_design_scores_gemma":[0.00018533436,0.00019828175,0.0002385013,0.36253455,0.00021943392,0.0000029822913,0.0012862844,7.590642e-7,5.5923564e-8,0.0013533743,0.6336118,0.0003686225],"about_ca_topic_score_codex":0.00013845271,"about_ca_topic_score_gemma":0.00020738743,"teacher_disagreement_score":0.63324636,"about_ca_system_score_codex":0.0005052375,"about_ca_system_score_gemma":0.0004216748,"threshold_uncertainty_score":0.9999589},"labels":[],"label_agreement":null},{"id":"W2016766572","doi":"10.1016/j.amepre.2012.02.011","title":"Spatial Classification of Youth Physical Activity Patterns","year":2012,"lang":"en","type":"article","venue":"American Journal of Preventive Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":189,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Nova Scotia Cancer Centre; Dalhousie University","funders":"Canadian Institutes of Health Research","keywords":"Nova scotia; Physical activity; Demography; Obesity; Geography; Sedentary behavior; Rural area; Environmental health; Medicine; Gerontology; Physical therapy","score_opus":0.04171949158982839,"score_gpt":0.3558803560420397,"score_spread":0.3141608644522113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2016766572","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9868363,0.000049445116,0.010935541,0.0005887295,0.0002955008,0.000080237296,0.000007716837,0.000004831867,0.0012017039],"genre_scores_gemma":[0.9984271,0.000021062417,0.000050677474,0.000016529453,0.001413197,7.7109894e-7,0.0000018421329,0.000005006018,0.00006383053],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986483,0.0003314098,0.00025667678,0.00007717327,0.0005006485,0.00018583427],"domain_scores_gemma":[0.99852747,0.00012780471,0.0008826586,0.00009741654,0.00019916431,0.00016547607],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010616402,0.00007635319,0.00035625687,0.00006939439,0.000063855325,0.000003122867,0.00018479222,0.000018431743,0.00013135155],"category_scores_gemma":[0.00015588135,0.000054386142,0.00011346277,0.00022923014,0.0009141482,0.00031194222,0.000009156573,0.00016759521,0.0000012685911],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007893263,0.000401208,0.8548806,0.000008115503,0.00004180527,6.930529e-7,0.03259448,1.2063569e-7,0.0016573524,0.00010801513,0.000025744883,0.11020298],"study_design_scores_gemma":[0.0002760385,0.00033231746,0.9797271,0.00007788053,0.00013008624,3.5133877e-7,0.018439732,0.0000035227567,0.00071263564,0.000099647434,0.00014804081,0.00005265861],"about_ca_topic_score_codex":0.0029087188,"about_ca_topic_score_gemma":0.00016056826,"teacher_disagreement_score":0.12484654,"about_ca_system_score_codex":0.000057481684,"about_ca_system_score_gemma":0.000087990826,"threshold_uncertainty_score":0.4397132},"labels":[],"label_agreement":null},{"id":"W2016789075","doi":"10.1111/j.1936-4490.2005.tb00361.x","title":"Commuting on the Canadian Prairies and the Urban/Rural Divide","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l Administration","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Geography; Census; Sociology; Demography; Population","score_opus":0.09932851988207848,"score_gpt":0.33831836069452786,"score_spread":0.2389898408124494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2016789075","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.889407,0.00044617697,0.000043506585,0.07104751,0.0003443746,0.00034829063,0.000028080713,0.000008577629,0.038326483],"genre_scores_gemma":[0.99713176,0.000021696329,0.000331297,0.0018779131,0.00036061523,0.0000055256437,0.0000017871785,0.0000049922905,0.0002644235],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9968044,0.0007070192,0.0005918334,0.00031551803,0.0004124741,0.0011687307],"domain_scores_gemma":[0.9963482,0.00092857634,0.0004984908,0.00020758585,0.00039374,0.0016234268],"candidate_categories":["sts","scholarly_communication"],"consensus_categories":["sts"],"category_scores_codex":[0.009465127,0.00023065964,0.00030862025,0.0003383272,0.012691198,0.0017481159,0.0015269971,0.000119176264,0.00008593811],"category_scores_gemma":[0.0028717078,0.00014509403,0.00013362881,0.0014009868,0.023517596,0.0010190358,0.000008043105,0.00049150997,0.0000024195779],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000062835476,0.0000228546,0.15832137,0.000010433158,0.000021869639,0.00014855078,0.0988758,0.00006696666,0.000016286662,0.7381882,0.0010759874,0.00318882],"study_design_scores_gemma":[0.0010161925,0.0050709583,0.5194494,0.0006057584,0.0001367028,0.00046988734,0.15247819,0.00054885884,0.00027906062,0.29940283,0.019609727,0.00093241],"about_ca_topic_score_codex":0.5206789,"about_ca_topic_score_gemma":0.9979546,"teacher_disagreement_score":0.47727576,"about_ca_system_score_codex":0.0009605355,"about_ca_system_score_gemma":0.019633263,"threshold_uncertainty_score":0.99928814},"labels":[],"label_agreement":null},{"id":"W2017196328","doi":"10.4000/vertigo.15730","title":"Micro-transitions et écoquartiers : la recomposition des pratiques énergétiques face aux déterminismes matériels et socio-économiques","year":2015,"lang":"fr","type":"article","venue":"VertigO","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.05600980109205008,"score_gpt":0.34939055002865566,"score_spread":0.2933807489366056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017196328","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9201033,0.0037025304,0.009628531,0.03752479,0.0007229616,0.00043760354,0.00019537446,0.00035949727,0.027325405],"genre_scores_gemma":[0.9784887,0.0013885645,0.012476514,0.0019232568,0.00026796263,0.00005947386,0.00012499283,0.00004301787,0.0052275048],"study_design_codex":"qualitative","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99640447,0.0015650857,0.0006045157,0.0005559074,0.00027302574,0.0005969923],"domain_scores_gemma":[0.9985585,0.0002296039,0.00020747673,0.00029235153,0.00028880322,0.00042325226],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0014314258,0.00037335648,0.0004373837,0.00009387876,0.00054208905,0.00044377107,0.000368557,0.00048361902,0.00028182007],"category_scores_gemma":[0.00007878877,0.00039442285,0.00027118242,0.00029538473,0.001812379,0.0025805766,0.000037367776,0.00043541094,0.000078297606],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002808124,0.0015627409,0.1927189,0.00041650733,0.00031880164,0.000087248365,0.48967355,0.00015302181,0.004269074,0.25655115,0.038849942,0.015118245],"study_design_scores_gemma":[0.0022250214,0.0012311481,0.121091805,0.0014523761,0.00060949556,0.000022167596,0.0835142,0.0005796197,0.036245827,0.40064716,0.34980407,0.002577097],"about_ca_topic_score_codex":0.0037638503,"about_ca_topic_score_gemma":0.0072459485,"teacher_disagreement_score":0.40615937,"about_ca_system_score_codex":0.00033547016,"about_ca_system_score_gemma":0.0013814811,"threshold_uncertainty_score":0.99985075},"labels":[],"label_agreement":null},{"id":"W2017566989","doi":"10.1016/j.jtrangeo.2012.03.021","title":"Modeling constrained destination choice for shopping: a GIS-based, time-geographic approach","year":2012,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":72,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Choice set; Multinomial logistic regression; Computer science; TRIPS architecture; Set (abstract data type); Representation (politics); Aggregate (composite); Travel behavior; Operations research; Econometrics; Transport engineering; Machine learning; Mathematics; Engineering","score_opus":0.03379583755483817,"score_gpt":0.29531066365836284,"score_spread":0.26151482610352467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017566989","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84097487,0.0009814833,0.15517095,0.00029161244,0.00031525944,0.00046299148,0.00003188988,0.000058985766,0.001711975],"genre_scores_gemma":[0.9844513,0.000034275166,0.014680223,0.000107887136,0.00062751345,0.00001734081,0.000041052637,0.000019545854,0.000020887448],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99770534,0.000082173116,0.0007600491,0.00020026226,0.0006591292,0.0005930225],"domain_scores_gemma":[0.9983707,0.00015188674,0.00037155955,0.00014826818,0.00057414745,0.0003834501],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025889992,0.00020327668,0.00039536986,0.0005686608,0.0004705146,0.000045837107,0.00038986895,0.00018011496,0.00007856128],"category_scores_gemma":[0.00006984769,0.00018519492,0.0008367398,0.0007548127,0.00035617725,0.00094817684,0.0000024077965,0.00028371718,8.9805945e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012095215,0.0004985852,0.99410206,0.00007882131,0.000094867064,0.0000017896015,0.0010195709,0.002461345,0.00009887177,0.00023115882,0.000015576008,0.0012763806],"study_design_scores_gemma":[0.0048977034,0.0003960268,0.95899427,0.00029319496,0.0013641159,0.000008188159,0.0016436614,0.017463462,0.000106760956,0.0016955333,0.012067829,0.0010692603],"about_ca_topic_score_codex":0.00026724747,"about_ca_topic_score_gemma":0.00012613725,"teacher_disagreement_score":0.14347641,"about_ca_system_score_codex":0.000031679207,"about_ca_system_score_gemma":0.0002347201,"threshold_uncertainty_score":0.75520295},"labels":[],"label_agreement":null},{"id":"W2017586189","doi":"10.3138/th62-2668-3273-3344","title":"Comparing Three GIS Techniques for Modelling Geographical Access to General Practitioners","year":2004,"lang":"en","type":"article","venue":"Cartographica The International Journal for Geographic Information and Geovisualization","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Statistic; Constraint (computer-aided design); Computer science; Path (computing); Population; Operations research; Path analysis (statistics); Location-allocation; Global Positioning System; Geographic information system; Geography; Statistics; Data mining; Transport engineering; Mathematics; Cartography; Medicine; Engineering; Machine learning; Computer network; Telecommunications","score_opus":0.045083195736596846,"score_gpt":0.3612581802949742,"score_spread":0.31617498455837734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017586189","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31500962,0.00006275113,0.67296755,0.009430937,0.0008884382,0.0011478843,0.0000444741,0.00010597477,0.00034234754],"genre_scores_gemma":[0.9912827,0.00052016525,0.0047169225,0.0023151608,0.0006305993,0.00024560056,0.00026258218,0.000013430444,0.000012834114],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99809694,0.00004249041,0.0006476653,0.00018908737,0.0006848424,0.00033899877],"domain_scores_gemma":[0.99755305,0.00014059697,0.00038283385,0.00012864842,0.0015939461,0.00020095054],"candidate_categories":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0016848443,0.0001733237,0.00018009996,0.00085461733,0.0017737239,0.0015761523,0.00068061997,0.00014398678,0.000013328862],"category_scores_gemma":[0.00022122393,0.000142808,0.0002738747,0.00070647825,0.000256462,0.0028602856,0.000054249806,0.00020296323,8.9462276e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010486231,0.00025249165,0.28934282,0.00010166161,0.0005696881,0.000001633895,0.010940134,0.03921152,0.00007651515,0.6292086,0.0021097418,0.027136575],"study_design_scores_gemma":[0.0040002028,0.0004017766,0.052841485,0.00031862714,0.00030328607,0.00003163745,0.0034282543,0.030632269,0.0004145345,0.32309315,0.5834566,0.0010782151],"about_ca_topic_score_codex":0.0011266511,"about_ca_topic_score_gemma":0.0021716554,"teacher_disagreement_score":0.6762731,"about_ca_system_score_codex":0.00007009204,"about_ca_system_score_gemma":0.00015488971,"threshold_uncertainty_score":0.99952585},"labels":[],"label_agreement":null},{"id":"W2018370432","doi":"10.3141/2314-16","title":"Estimating Latent Cycling Trips in Montreal, Canada","year":2012,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"TRIPS architecture; Cycling; Geography; Downtown; Demography; Population; Transport engineering; Engineering; Sociology; Forestry","score_opus":0.1118707049570512,"score_gpt":0.4115167139458502,"score_spread":0.299646008988799,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2018370432","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9929678,0.00045699027,0.00032178411,0.003418015,0.001237771,0.00081856275,0.00003291276,0.00001839752,0.0007277783],"genre_scores_gemma":[0.9972006,0.0002749244,0.0011400834,0.000047976013,0.0005632296,0.000040561245,0.000010734725,0.000031496565,0.0006903818],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9899563,0.0018463503,0.0015906516,0.0003202069,0.004727951,0.0015585338],"domain_scores_gemma":[0.9953418,0.0012910439,0.0004529873,0.00035205475,0.0018823233,0.00067981094],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.010785553,0.00021256764,0.00045625994,0.00065595895,0.0011291959,0.00012440594,0.0011595318,0.00019235956,0.00047015512],"category_scores_gemma":[0.00046188044,0.000168339,0.00026946978,0.0025742392,0.00064972864,0.0012741861,0.0000051248767,0.0023622517,0.000008747448],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003289631,0.00023048664,0.98091453,0.00009100946,0.00003769774,0.000060541042,0.00957448,0.0011097062,0.0001515354,0.0005351667,0.0022958298,0.0046700537],"study_design_scores_gemma":[0.0008689616,0.000066882356,0.98588324,0.0002588113,0.000025688943,5.679666e-8,0.004876824,0.00011313115,0.00016612429,0.0014348445,0.006136627,0.00016883863],"about_ca_topic_score_codex":0.9541284,"about_ca_topic_score_gemma":0.997025,"teacher_disagreement_score":0.04289664,"about_ca_system_score_codex":0.0008745327,"about_ca_system_score_gemma":0.002400069,"threshold_uncertainty_score":0.9999393},"labels":[],"label_agreement":null},{"id":"W2018621137","doi":"10.3141/2453-19","title":"Quantifying the Self-Selection Effects in Residential Location Choice with a Structural Equation Model","year":2014,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"International Civil Aviation Organization","funders":"","keywords":"Selection (genetic algorithm); Structural equation modeling; Land use; Vehicle miles of travel; Greenhouse gas; Reduction (mathematics); Car ownership; Environmental science; Transport engineering; Econometrics; Computer science; Statistics; Mathematics; Ecology; Engineering; Civil engineering","score_opus":0.10466182785734639,"score_gpt":0.4165745665655664,"score_spread":0.31191273870822,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2018621137","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9831357,0.00008779747,0.010961389,0.00383736,0.00031546963,0.0014533477,0.0000046907353,0.000043128657,0.00016113487],"genre_scores_gemma":[0.9974831,0.00011126787,0.0016788971,0.000042386688,0.00034442553,0.000087932654,0.0000103027705,0.000036219164,0.00020549257],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99007785,0.0030980962,0.0011273077,0.0004433372,0.004350064,0.00090335374],"domain_scores_gemma":[0.9933787,0.0021262348,0.00051307614,0.00036999836,0.0033629916,0.00024898257],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00975737,0.00022423596,0.00036058147,0.000759764,0.0018214519,0.00029708035,0.0011400782,0.00021485663,0.00006012576],"category_scores_gemma":[0.00058722397,0.00014374618,0.00020113321,0.0037177105,0.00080599583,0.0014380921,0.0000045133925,0.0021473223,0.000005994649],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008409931,0.00012635082,0.9552333,0.00022768433,0.00005473989,0.000007882518,0.011650174,0.01924613,0.0004993511,0.009561619,0.00022586016,0.0023259164],"study_design_scores_gemma":[0.0013710262,0.0002914891,0.9718664,0.00031756857,0.000059272865,9.0805806e-8,0.0015966466,0.016652606,0.0003749301,0.006474012,0.00082634995,0.00016955889],"about_ca_topic_score_codex":0.060517963,"about_ca_topic_score_gemma":0.69667816,"teacher_disagreement_score":0.6361602,"about_ca_system_score_codex":0.00047921806,"about_ca_system_score_gemma":0.0014512264,"threshold_uncertainty_score":0.99947804},"labels":[],"label_agreement":null},{"id":"W2019134337","doi":"10.1016/j.healthplace.2015.03.003","title":"Differences in associations between active transportation and built environmental exposures when expressed using different components of individual activity spaces","year":2015,"lang":"en","type":"article","venue":"Health & Place","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":40,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; Université de Montréal; Douglas Mental Health University Institute","funders":"Ministère des Transports","keywords":"Metropolitan area; Destinations; Geography; Transport engineering; Built environment; Land use; Space (punctuation); Travel behavior; Active living; Physical activity; Environmental health; Ecology; Computer science; Engineering; Medicine; Tourism; Biology","score_opus":0.12574417263983323,"score_gpt":0.3426033993072004,"score_spread":0.21685922666736718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2019134337","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997945,0.00016900213,0.00009217907,0.00053569744,0.00006981888,0.0003789804,0.00076374033,0.00001732051,0.000028276461],"genre_scores_gemma":[0.9995746,0.000038466806,0.00016228145,0.000019730696,0.00004995289,0.000007648378,0.00012503743,0.000005968291,0.000016334337],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99825925,0.00037970746,0.0003040382,0.0002379179,0.00054859323,0.00027051798],"domain_scores_gemma":[0.9991444,0.00023813821,0.0003232465,0.000082321654,0.00001633965,0.00019559608],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055162504,0.00011902228,0.000355328,0.00007380762,0.0002210137,0.000033948923,0.00014145441,0.000099181496,0.000015671674],"category_scores_gemma":[0.000031879823,0.00011376565,0.0000312398,0.0000869008,0.00019044006,0.0003745825,0.000011877267,0.0001538787,3.0578755e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043923257,0.00016738297,0.939344,0.000019593006,0.000016026186,4.2366713e-7,0.058924124,0.000002942715,0.00028467312,0.000013770495,0.000014760111,0.0011684087],"study_design_scores_gemma":[0.0005633401,0.000056787205,0.99270463,0.000036500456,0.000019934956,1.3406939e-8,0.005727959,0.000019238967,0.00038952468,0.00034824325,0.00003534563,0.000098493874],"about_ca_topic_score_codex":0.023567803,"about_ca_topic_score_gemma":0.024431985,"teacher_disagreement_score":0.05336065,"about_ca_system_score_codex":0.00024777057,"about_ca_system_score_gemma":0.00018043844,"threshold_uncertainty_score":0.9933696},"labels":[],"label_agreement":null},{"id":"W2019551912","doi":"10.1016/j.tra.2015.04.002","title":"Spatio-temporal analysis of car distance, greenhouse gases and the effect of built environment: A latent class regression analysis","year":2015,"lang":"en","type":"article","venue":"Transportation Research Part A Policy and Practice","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Concordia University; McGill University","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Greenhouse gas; Population; Environmental science; Demographics; Occupancy; Fuel efficiency; Latent class model; Built environment; Geography; Land use; Sample (material); Regression analysis; Econometrics; Transport engineering; Statistics; Engineering; Economics; Mathematics; Demography; Automotive engineering; Civil engineering","score_opus":0.08955352432927184,"score_gpt":0.42902109815450584,"score_spread":0.339467573825234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2019551912","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99447095,0.0007543717,0.00033443037,0.0028708319,0.000011487067,0.00043614017,0.00015708564,0.000011740404,0.00095295743],"genre_scores_gemma":[0.99832773,0.0010565013,0.000066114844,0.000024130017,0.00004314986,0.00003438192,0.000137371,0.0000054641996,0.00030516178],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99598587,0.0020331184,0.00043592308,0.0002732312,0.0010182963,0.00025359192],"domain_scores_gemma":[0.99577767,0.0032050847,0.00032481735,0.0002675614,0.0002187937,0.00020605596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007068495,0.00011298109,0.0004624055,0.0004592336,0.00030138282,0.000043383436,0.00015872915,0.00008472089,0.00006327665],"category_scores_gemma":[0.0011367935,0.00007326774,0.00016580036,0.0025469523,0.0014801425,0.00052253436,0.000008341672,0.00019535047,6.8542886e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0031472214,0.00007855286,0.97506166,0.0000568288,0.0011336999,0.000006078435,0.01622833,0.00047123514,0.000011117909,0.003147394,0.000089519985,0.0005683764],"study_design_scores_gemma":[0.0025907902,0.00035784324,0.9475522,0.0000398973,0.007798049,1.3470215e-7,0.003999437,0.0013344799,0.00026318672,0.0006987408,0.035176247,0.00018899654],"about_ca_topic_score_codex":0.10069167,"about_ca_topic_score_gemma":0.066144824,"teacher_disagreement_score":0.035086725,"about_ca_system_score_codex":0.000036625075,"about_ca_system_score_gemma":0.00015013869,"threshold_uncertainty_score":0.9508956},"labels":[],"label_agreement":null},{"id":"W2019988958","doi":"10.1016/j.jtrangeo.2010.09.008","title":"Running to stay in place: the time-use implications of automobile oriented land-use and travel","year":2010,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":74,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; Toronto Metropolitan University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Argument (complex analysis); Variety (cybernetics); Destinations; Duration (music); Travel behavior; Transport engineering; Land use; Work (physics); Traffic congestion; Descriptive statistics; Space (punctuation); Geography; Business; Computer science; Engineering; Civil engineering; Tourism; Mathematics","score_opus":0.012178707770706825,"score_gpt":0.274829119711351,"score_spread":0.26265041194064415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2019988958","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998177,0.00005499818,0.00014979993,0.001007627,0.00013435297,0.00025133367,0.0000551964,0.000011180401,0.0001585107],"genre_scores_gemma":[0.9987767,0.00005183357,0.0009554834,0.000084368214,0.00006461401,0.000005163032,0.0000059051827,0.000007695238,0.000048281297],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99873286,0.000040188024,0.00054607017,0.00014131378,0.00031518663,0.00022437263],"domain_scores_gemma":[0.99900776,0.00015777686,0.00024074395,0.00018362103,0.00023547393,0.00017461495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011252688,0.000101351296,0.00025124947,0.0002734304,0.00018913203,0.000042092513,0.00029003882,0.00009084991,0.00008974538],"category_scores_gemma":[0.00004232844,0.00007148315,0.00017160189,0.0007869295,0.00029934445,0.0005473753,0.000004993168,0.00037574014,6.504029e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000717672,0.00012622614,0.9929892,0.0000068968557,0.000025365844,0.0000046014466,0.0048360527,0.00002084385,0.0013855498,0.00015130217,0.000059462225,0.0003227726],"study_design_scores_gemma":[0.00036796555,0.000052685606,0.9923825,0.00003061886,0.000052302712,0.0000015157317,0.00037153697,0.0000040919886,0.00011326834,0.00019572307,0.006345268,0.000082476916],"about_ca_topic_score_codex":0.0021129546,"about_ca_topic_score_gemma":0.012604432,"teacher_disagreement_score":0.010491477,"about_ca_system_score_codex":0.000009070329,"about_ca_system_score_gemma":0.00012941334,"threshold_uncertainty_score":0.7033569},"labels":[],"label_agreement":null},{"id":"W2020026087","doi":"10.1371/journal.pone.0053461","title":"Access to Alcohol Outlets, Alcohol Consumption and Mental Health","year":2013,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":89,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"Healthway","keywords":"Anxiety; Environmental health; Medicine; Depression (economics); Odds ratio; Mental health; Cross-sectional study; Demography; Population; Alcohol; Logistic regression; Odds; Psychiatry; Internal medicine; Chemistry","score_opus":0.13854093026337627,"score_gpt":0.3562157737089756,"score_spread":0.21767484344559934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2020026087","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98007625,0.00022330531,0.000013123163,0.016296495,0.000060207185,0.0010628363,0.00002152472,0.000082505685,0.002163773],"genre_scores_gemma":[0.9965882,0.00018408186,0.0004970099,0.0016535771,0.00011684042,0.00006212585,0.000017007937,0.000007711605,0.00087348087],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988443,0.0000660645,0.00018507322,0.00025198588,0.00035545512,0.00029710232],"domain_scores_gemma":[0.9994327,0.000026681166,0.000060468898,0.00013529835,0.000055952325,0.00028890566],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00029216654,0.00008408019,0.00017471272,0.000045735764,0.00039738606,0.00020663603,0.00021077861,0.00004978091,0.0013087852],"category_scores_gemma":[0.000032120814,0.0000810227,0.000022682701,0.00012020392,0.00013759897,0.0006152816,0.00004305819,0.00008283114,0.00025395403],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008091631,0.00036748382,0.9884819,0.000054151235,0.000029413244,3.1827656e-7,0.0035100896,5.0190312e-8,0.0011758799,0.00013178855,0.0032315014,0.0030093456],"study_design_scores_gemma":[0.0003396445,0.000039463623,0.9960278,0.00007688807,0.000015284153,4.9749872e-8,0.00031854515,0.000013625961,0.0009357096,0.00044408982,0.001635841,0.0001530476],"about_ca_topic_score_codex":0.0058154883,"about_ca_topic_score_gemma":0.003491163,"teacher_disagreement_score":0.016511936,"about_ca_system_score_codex":0.00007568227,"about_ca_system_score_gemma":0.00006006,"threshold_uncertainty_score":0.99960417},"labels":[],"label_agreement":null},{"id":"W2020117607","doi":"10.1186/1476-072x-7-7","title":"Comparing alternative approaches to measuring the geographical accessibility of urban health services: Distance types and aggregation-error issues","year":2008,"lang":"en","type":"article","venue":"International Journal of Health Geographics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":555,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Census; Geography; Metropolitan area; Population; Statistics; Cartography; Computer science; Mathematics; Medicine; Environmental health","score_opus":0.14662202541067978,"score_gpt":0.3636094368909089,"score_spread":0.21698741148022913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2020117607","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97365105,0.007821206,0.0016176818,0.015844632,0.0005694759,0.00029958884,0.00002009237,0.000016905877,0.00015935261],"genre_scores_gemma":[0.9962342,0.001954588,0.0008540176,0.0005964872,0.00032962233,0.000004576758,0.000005202375,0.000008412069,0.000012944654],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.996753,0.00041154996,0.0010539844,0.0002436869,0.0012392014,0.0002986011],"domain_scores_gemma":[0.99755305,0.00019886956,0.0011644352,0.00017345074,0.0006610976,0.00024911546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034455364,0.00014081977,0.00042666795,0.00028648926,0.00066198077,0.0000779719,0.0009226728,0.00005687651,0.000010654155],"category_scores_gemma":[0.00009524717,0.00010496836,0.00015310587,0.0005194663,0.0006240694,0.000488523,0.00006797679,0.00034450454,4.1439316e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009415202,0.00014359271,0.9697443,0.00008321901,0.00009429622,0.0000028644936,0.023118883,0.00010230201,7.0705084e-7,0.003799156,0.000030223571,0.0027862997],"study_design_scores_gemma":[0.0003681038,0.00010101646,0.98849446,0.0003877537,0.000010959501,0.000006410397,0.0032138512,0.00023850672,0.000017342538,0.003958171,0.003096751,0.00010665768],"about_ca_topic_score_codex":0.008136811,"about_ca_topic_score_gemma":0.009196146,"teacher_disagreement_score":0.022583084,"about_ca_system_score_codex":0.000109734545,"about_ca_system_score_gemma":0.00044702287,"threshold_uncertainty_score":0.9984681},"labels":[],"label_agreement":null},{"id":"W2020129548","doi":"10.1016/j.healthplace.2011.02.006","title":"Income disparities in perceived neighborhood built and social environment attributes","year":2011,"lang":"en","type":"article","venue":"Health & Place","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":227,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Heart, Lung, and Blood Institute","keywords":"Walkability; Recreation; Built environment; Ethnic group; Level design; Pedestrian; Environmental health; Geography; Socioeconomic status; Household income; Socioeconomics; Scale (ratio); Gerontology; Psychology; Medicine; Sociology; Political science; Population; Engineering; Computer science","score_opus":0.05711262529661557,"score_gpt":0.3039054013132201,"score_spread":0.24679277601660451,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2020129548","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99259907,0.0005884795,0.00004764505,0.0044768346,0.000086146734,0.0002619726,0.00002407092,0.00003961406,0.0018761626],"genre_scores_gemma":[0.99872255,0.00031860246,0.00016247685,0.00037892183,0.00009301008,0.00001636862,0.000008732787,0.00000645543,0.0002928692],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99874383,0.00016987788,0.00024058027,0.00023151324,0.00020105275,0.00041317212],"domain_scores_gemma":[0.9996287,0.00006775291,0.000074201984,0.00008812419,0.000009383024,0.0001318185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065609073,0.000094861614,0.00020190093,0.000037423873,0.00049263693,0.000024663088,0.00013446732,0.000086558415,0.00032613502],"category_scores_gemma":[0.000017005437,0.00009403454,0.000027818822,0.00007977336,0.00031237988,0.00020940932,0.000027581878,0.0001586241,0.0000137539255],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025123867,0.00007698017,0.9643992,0.000048418147,0.0000024889698,0.0000025890183,0.032006275,1.482877e-7,0.0000021089188,0.002378489,0.000100521356,0.0009576592],"study_design_scores_gemma":[0.00026590147,0.000033745495,0.9926242,0.000014747031,0.0000030622084,1.0720126e-7,0.0024447697,0.0000071892687,0.000002277629,0.0019557287,0.0025486676,0.000099575154],"about_ca_topic_score_codex":0.026511135,"about_ca_topic_score_gemma":0.021642294,"teacher_disagreement_score":0.029561507,"about_ca_system_score_codex":0.00018159121,"about_ca_system_score_gemma":0.00018194912,"threshold_uncertainty_score":0.99621016},"labels":[],"label_agreement":null},{"id":"W2020552824","doi":"10.1016/j.sste.2012.02.003","title":"Investigating impacts of positional error on potential health care accessibility","year":2012,"lang":"en","type":"article","venue":"Spatial and Spatio-temporal Epidemiology","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":42,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University of Saskatchewan","funders":"","keywords":"Geocoding; Geographic information system; Computer science; Geography; Transport engineering; Data mining; Cartography; Engineering","score_opus":0.06566188047929432,"score_gpt":0.38636685413374755,"score_spread":0.3207049736544532,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2020552824","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99152786,0.0010712604,0.0008577054,0.0047221375,0.00048681034,0.00035084682,0.000097552576,0.00004875433,0.0008370656],"genre_scores_gemma":[0.99603397,0.000024348587,0.0015680692,0.0013243257,0.00068926986,0.00001173811,0.0003201167,0.000009507259,0.00001865176],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9967202,0.0012146002,0.00082278036,0.0003581069,0.000250372,0.0006339629],"domain_scores_gemma":[0.998158,0.0004212105,0.00060374284,0.00019321228,0.00013161763,0.0004922556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002967866,0.00018242779,0.00058517145,0.000076887714,0.0005553628,0.000011865873,0.00017938827,0.00021080903,0.00022997399],"category_scores_gemma":[0.0010634166,0.00015416201,0.00012368766,0.00015703905,0.00079173985,0.0003671027,0.000043687003,0.00024246794,0.000005222711],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059746035,0.00008531028,0.98588085,0.00008102802,0.00001261615,3.6102054e-7,0.004638722,0.000009959911,0.000020732756,0.004018937,0.00021642467,0.0049753073],"study_design_scores_gemma":[0.00028522924,0.00019754581,0.99330163,0.00003867281,0.000013160749,3.8273615e-7,0.0007815492,0.000096998825,0.000051811225,0.00453355,0.0005483694,0.00015112272],"about_ca_topic_score_codex":0.076830536,"about_ca_topic_score_gemma":0.024313556,"teacher_disagreement_score":0.05251698,"about_ca_system_score_codex":0.000120229015,"about_ca_system_score_gemma":0.0004214732,"threshold_uncertainty_score":0.99349016},"labels":[],"label_agreement":null},{"id":"W2020734400","doi":"10.1111/josh.12039","title":"Are Environmental Influences on Physical Activity Distinct for Urban, Suburban, and Rural Schools? A Multilevel Study Among Secondary School Students in Ontario, Canada","year":2013,"lang":"en","type":"article","venue":"Journal of School Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta; University of Waterloo","funders":"","keywords":"Multilevel model; School district; Psychology; Rural area; Geography; Regression analysis; Environmental health; Medicine; Mathematics education; Mathematics; Statistics","score_opus":0.025824514111201867,"score_gpt":0.3227164947675663,"score_spread":0.29689198065636446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2020734400","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975537,0.000088463516,0.0000037607713,0.000639381,0.00023412805,0.0014041481,0.0000330774,0.000007789194,0.000035525616],"genre_scores_gemma":[0.99905956,0.000007822949,0.000033764132,0.00028744058,0.00027010325,0.00004590888,0.0000020410212,0.000012809547,0.0002805404],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99727523,0.0002774028,0.00059825793,0.00029043847,0.0010363053,0.00052233506],"domain_scores_gemma":[0.9978163,0.00016735881,0.0008940061,0.00016253827,0.00007779963,0.0008819977],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010616125,0.00022612448,0.0005770212,0.00010969404,0.0005120706,0.00021011464,0.00044624493,0.000071829294,0.00022795821],"category_scores_gemma":[0.00020785726,0.00018764664,0.000095411444,0.00011105366,0.00014465654,0.0013835431,0.000044781547,0.0011817311,0.0000037806906],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016287318,0.000864153,0.9937782,0.000023698925,0.000035733727,0.0000151849645,0.0021043504,0.0000040676855,0.000011545264,0.0000011352957,0.0015774542,0.001421545],"study_design_scores_gemma":[0.0018522316,0.0004276855,0.9852385,0.00012683216,0.000017240232,6.120261e-7,0.01189446,0.000011785183,0.000005596988,0.00010805088,0.00014217877,0.00017481291],"about_ca_topic_score_codex":0.9533555,"about_ca_topic_score_gemma":0.987594,"teacher_disagreement_score":0.034238502,"about_ca_system_score_codex":0.0025581347,"about_ca_system_score_gemma":0.0033418047,"threshold_uncertainty_score":0.7652008},"labels":[],"label_agreement":null},{"id":"W2020916846","doi":"10.2495/sdp-v7-n3-372-384","title":"Locational planning for emergency management and response: an artificial intelligence approach","year":2012,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Emergency response; Emergency management; Computer science; Environmental planning; Operations research; Artificial intelligence; Engineering; Environmental science; Medical emergency; Political science; Medicine","score_opus":0.06438508545023282,"score_gpt":0.356880725024671,"score_spread":0.2924956395744382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2020916846","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93389326,0.0009603189,0.06325841,0.00024975283,0.00040379746,0.00014796866,0.0000014070771,0.000008814968,0.0010762505],"genre_scores_gemma":[0.98074085,0.000023269651,0.017992428,0.000035667417,0.00046646703,0.000009975684,0.000013131755,0.0000055164223,0.00071267696],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99880517,0.000053396045,0.00038608318,0.00011212657,0.0003764831,0.00026674257],"domain_scores_gemma":[0.9991228,0.00008665346,0.00018986186,0.000031804284,0.0004284747,0.00014038311],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002353074,0.000084607454,0.00010274713,0.00023115319,0.00037445867,0.00010261717,0.00020396327,0.00004643747,0.000027541351],"category_scores_gemma":[0.00010974454,0.00008028758,0.00002451128,0.000102805694,0.000061433864,0.0009068647,0.000032599157,0.000089789435,2.9948288e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024227842,0.0003688103,0.54948527,0.00014257473,0.00031527167,0.00016161363,0.27588692,0.00048200824,0.00003673442,0.12674484,0.000465223,0.043487992],"study_design_scores_gemma":[0.00029548584,0.00006333719,0.4647603,0.00009626407,0.000041442752,0.000014744051,0.47424504,0.0002300257,0.0002632816,0.015409517,0.044260904,0.0003196427],"about_ca_topic_score_codex":0.000014991883,"about_ca_topic_score_gemma":0.0000018407195,"teacher_disagreement_score":0.19835813,"about_ca_system_score_codex":0.000113050315,"about_ca_system_score_gemma":0.00015545763,"threshold_uncertainty_score":0.32740325},"labels":[],"label_agreement":null},{"id":"W2021053817","doi":"10.3141/1807-21","title":"Household Activity Rescheduling in Response to Automobile Reduction Scenarios","year":2002,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; Université Laval; Wilfrid Laurier University","funders":"","keywords":"Sample (material); Scheduling (production processes); Task (project management); Descriptive statistics; Adaptation (eye); Operations research; Travel behavior; Variety (cybernetics); Process (computing); Computer science; Business; Operations management; Marketing; Transport engineering; Economics; Engineering; Psychology; Statistics; Mathematics","score_opus":0.14430209355619758,"score_gpt":0.4098910150846721,"score_spread":0.26558892152847446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021053817","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9838895,0.00015901698,0.00024297473,0.013026258,0.0006908253,0.0015484559,0.000040570518,0.000056790002,0.00034558756],"genre_scores_gemma":[0.99624056,0.0004518768,0.000916148,0.000042136944,0.00032523973,0.000097384735,0.0000028663019,0.00004977932,0.0018739925],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9877696,0.0041127102,0.00139079,0.0006076738,0.0047850655,0.0013341774],"domain_scores_gemma":[0.9949389,0.00121809,0.0003806318,0.0005952958,0.0021797612,0.00068733486],"candidate_categories":["sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.015214597,0.00025341485,0.0005008227,0.0017650906,0.0013433739,0.000235159,0.0014484696,0.00031190942,0.00075975823],"category_scores_gemma":[0.0007539632,0.00021596273,0.0003847255,0.005341421,0.00095837144,0.0013965875,0.00000817987,0.0029584395,0.00003891977],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.010161328,0.0015153392,0.87006843,0.00019886342,0.00009535136,0.0003078846,0.05812376,0.0060003693,0.028398942,0.0008041523,0.007002457,0.017323116],"study_design_scores_gemma":[0.0012536093,0.00042291358,0.97245324,0.00036564018,0.000022445021,1.637069e-7,0.0052923486,0.00009845372,0.0012979745,0.0008978588,0.017656818,0.00023851467],"about_ca_topic_score_codex":0.043684926,"about_ca_topic_score_gemma":0.19676608,"teacher_disagreement_score":0.15308115,"about_ca_system_score_codex":0.00087317376,"about_ca_system_score_gemma":0.00084036373,"threshold_uncertainty_score":0.9999567},"labels":[],"label_agreement":null},{"id":"W2021341428","doi":"10.1097/01.jsm.0000299225.75020.b7","title":"Interventions to Promote Walking: A Review","year":2007,"lang":"en","type":"review","venue":"Clinical Journal of Sport Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Psychological intervention; Executive summary; Library science; Gerontology; Nursing; Finance","score_opus":0.3327972262794227,"score_gpt":0.5795760212238107,"score_spread":0.24677879494438798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021341428","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000050901413,0.9906994,0.00009344716,0.0023684094,0.0026498658,0.000988281,0.000003234534,0.000020775547,0.003125683],"genre_scores_gemma":[0.000034127163,0.9914854,0.00035968053,0.0013450213,0.0052676797,0.000005416447,0.000015589514,0.000026641388,0.0014604548],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9917268,0.00015493963,0.0062805847,0.000353573,0.0010869281,0.00039716408],"domain_scores_gemma":[0.99433655,0.0003218909,0.0032613045,0.00040978563,0.0006694051,0.0010010736],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.023824498,0.00030933903,0.0043638935,0.00031468668,0.00013294096,0.000015928512,0.0012057152,0.0004006324,0.0017820894],"category_scores_gemma":[0.0022220106,0.0001913501,0.0025763104,0.0011000837,0.0006261583,0.0001481992,0.00005032552,0.0015603688,0.00006319959],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010611869,0.00020335944,0.0016347874,0.028985009,0.00008477326,0.00032312298,0.00012937438,2.4663591e-9,1.550197e-9,0.00008808083,0.014253402,0.95428747],"study_design_scores_gemma":[0.0001764636,0.00025075357,0.0006389578,0.31135374,0.0020168477,0.000014929386,0.000031339736,2.0173792e-9,3.0956293e-9,0.000078609715,0.68531674,0.0001216008],"about_ca_topic_score_codex":0.000046984285,"about_ca_topic_score_gemma":0.00015431279,"teacher_disagreement_score":0.9541659,"about_ca_system_score_codex":0.00014214718,"about_ca_system_score_gemma":0.0010469966,"threshold_uncertainty_score":0.9991304},"labels":[],"label_agreement":null},{"id":"W2022147654","doi":"10.1080/10630730701531732","title":"Is Paradigm Shift too Difficult in U.K. Transport?","year":2007,"lang":"en","type":"article","venue":"Journal of Urban Technology","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Simon Fraser University","keywords":"Paradigm shift; Computer science; Environmental science; Epistemology; Philosophy","score_opus":0.015271469335566432,"score_gpt":0.2959232428190441,"score_spread":0.28065177348347764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2022147654","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98287606,0.0010361864,0.0009655391,0.012019627,0.00031440132,0.000108270324,0.000002832147,0.000055362092,0.0026216935],"genre_scores_gemma":[0.99896115,0.00007872236,0.0002997565,0.00020114805,0.0001996954,9.1994474e-7,6.095978e-7,0.000008483965,0.00024949317],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99825114,0.000027680897,0.00074598845,0.00016852182,0.00035370284,0.0004529441],"domain_scores_gemma":[0.99922884,0.00006312396,0.00033942002,0.00017114807,0.00007873153,0.00011872693],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012979783,0.000118024436,0.00033984147,0.00055774994,0.00011793247,0.000014258404,0.00058483274,0.0003753957,0.00017845951],"category_scores_gemma":[0.00007537526,0.00010167226,0.00013545435,0.0011968416,0.00046053433,0.00028554953,0.000008809002,0.00057940325,0.000007916012],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057568726,0.00018344319,0.9793197,0.000006676637,0.000015777234,0.00024812337,0.0043925033,4.7665986e-7,0.00013474673,0.011292286,0.0007182468,0.003630454],"study_design_scores_gemma":[0.0007154658,0.00012129742,0.90075266,0.00003951526,0.000025617106,0.0000066192015,0.0015554302,4.96844e-7,0.001273676,0.034432765,0.060912404,0.00016403821],"about_ca_topic_score_codex":0.00024528956,"about_ca_topic_score_gemma":0.0045758206,"teacher_disagreement_score":0.07856702,"about_ca_system_score_codex":0.0001414498,"about_ca_system_score_gemma":0.00018976543,"threshold_uncertainty_score":0.41460744},"labels":[],"label_agreement":null},{"id":"W2022378621","doi":"10.4000/vertigo.11869","title":"Les trames vertes urbaines et l’adaptation au changement climatique : perspectives pour l’aménagement du territoire","year":2012,"lang":"fr","type":"article","venue":"VertigO","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.04253727804262684,"score_gpt":0.3039058636231264,"score_spread":0.2613685855804995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2022378621","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8989302,0.023719847,0.0057333345,0.038292445,0.0022648221,0.0007170139,0.00005306812,0.00015831864,0.030130964],"genre_scores_gemma":[0.9879348,0.000983939,0.0017456942,0.00033500826,0.0017106523,0.00007676765,0.000029431007,0.000027631331,0.007156034],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99751824,0.00039721958,0.0003908565,0.0004047444,0.00048626348,0.00080270413],"domain_scores_gemma":[0.99907076,0.00014038719,0.0001722379,0.00024363936,0.00012523074,0.00024773527],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008900143,0.00030586208,0.00029710954,0.00009096629,0.0006228534,0.00011781118,0.00030515474,0.0001914702,0.0014289515],"category_scores_gemma":[0.00009930221,0.00029127748,0.00020924937,0.00032047604,0.0004555034,0.0013525405,0.000053379896,0.00020549433,0.00009773225],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028019527,0.0010471351,0.6382276,0.00015748235,0.00010292498,0.0000036109566,0.20546703,0.000018299777,0.000071845454,0.12685263,0.003052089,0.024971373],"study_design_scores_gemma":[0.0005266118,0.00010151686,0.74458534,0.00019635019,0.00019914622,6.1677906e-7,0.082990386,0.0007365388,0.00023331991,0.003340506,0.16659547,0.0004941713],"about_ca_topic_score_codex":0.010046283,"about_ca_topic_score_gemma":0.012341668,"teacher_disagreement_score":0.16354339,"about_ca_system_score_codex":0.0006527031,"about_ca_system_score_gemma":0.00017786963,"threshold_uncertainty_score":0.9999539},"labels":[],"label_agreement":null},{"id":"W2022808213","doi":"10.1016/j.healthplace.2014.06.002","title":"A call for caution and transparency in the calculation of land use mix: Measurement bias in the estimation of associations between land use mix and physical activity","year":2014,"lang":"en","type":"article","venue":"Health & Place","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University Health Centre; McGill University","funders":"Canadian Institutes of Health Research","keywords":"Statistics; Econometrics; Land use; Transparency (behavior); Entropy (arrow of time); Polygon (computer graphics); Linear regression; Mathematics; Computer science; Telecommunications","score_opus":0.17635073806518978,"score_gpt":0.3845279891685616,"score_spread":0.20817725110337185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2022808213","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99393713,0.000028220104,0.0028448189,0.002440328,0.000013207569,0.00065381534,0.000068710055,0.0000042836687,0.000009494821],"genre_scores_gemma":[0.9997655,0.000013321567,0.00011238315,0.000033475913,0.00002755235,0.000017374638,0.000025686197,0.000002052861,0.000002664464],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987194,0.00054589484,0.00019922566,0.000114451745,0.00029728995,0.0001237649],"domain_scores_gemma":[0.9986849,0.0009952072,0.00016542446,0.00007596695,0.000051140796,0.000027352153],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030642897,0.000052616415,0.00016440134,0.00003144274,0.00015213637,0.000025553521,0.00005243991,0.000048545953,2.7039042e-7],"category_scores_gemma":[0.000381709,0.00003570327,0.000021679432,0.00015789927,0.00006647957,0.00024525562,0.000002153739,0.00008020482,3.819424e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023566496,0.000100685524,0.97476536,0.000067482,0.000002933242,2.8402148e-8,0.022583913,0.000114166105,0.000008802379,0.00014734626,0.000019554745,0.00216615],"study_design_scores_gemma":[0.00040226185,0.000048964852,0.9951575,0.000035088422,0.000017493277,1.9251333e-8,0.00013310974,0.0037925732,0.000010803298,0.00029614678,0.0000722096,0.00003387051],"about_ca_topic_score_codex":0.039519977,"about_ca_topic_score_gemma":0.14713423,"teacher_disagreement_score":0.10761425,"about_ca_system_score_codex":0.00007356018,"about_ca_system_score_gemma":0.00010731663,"threshold_uncertainty_score":0.966876},"labels":[],"label_agreement":null},{"id":"W2023003467","doi":"10.1016/j.jtrangeo.2014.03.002","title":"The influence of neighborhood environment and household travel interactions on school travel behavior: an exploration using geographically-weighted models","year":2014,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":90,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Toronto Metropolitan University","funders":"","keywords":"Built environment; Travel behavior; Odds; Psychological intervention; Human factors and ergonomics; Poison control; Geography; Injury prevention; Suicide prevention; Transport engineering; Mode choice; Psychology; Environmental health; Computer science; Medicine; Engineering; Public transport; Logistic regression","score_opus":0.037297960759636956,"score_gpt":0.2783300872161648,"score_spread":0.24103212645652786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023003467","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9883214,0.000116053154,0.010759432,0.00020905727,0.00012537686,0.00024998776,0.000023925933,0.000012415038,0.00018232074],"genre_scores_gemma":[0.998414,0.00073338085,0.00064812455,0.000054668064,0.000117819225,0.000008022684,0.000004832233,0.000015305493,0.0000038676108],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977763,0.00016124918,0.0008400733,0.00022915368,0.0007173072,0.0002758576],"domain_scores_gemma":[0.9986147,0.00009911037,0.0005629722,0.0002578699,0.0001561841,0.00030912663],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011373863,0.00018361156,0.0003192572,0.000313792,0.0005910746,0.000064384,0.00036476852,0.000116993106,0.000019319377],"category_scores_gemma":[0.000011150739,0.00013625693,0.00031132487,0.00035093867,0.0005638935,0.0018550098,0.0000045655283,0.00042155097,1.86602e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020292045,0.0006214498,0.986588,0.000013242072,0.0000776392,0.000005865748,0.0020310788,0.0038681726,0.0028262208,0.0016039573,0.0000014494813,0.0021600164],"study_design_scores_gemma":[0.0005026132,0.00029663942,0.98985803,0.00007005031,0.00025848165,0.0000019829954,0.0010876869,0.00028970191,0.00019833127,0.0071315668,0.00014089563,0.00016402979],"about_ca_topic_score_codex":0.0005170128,"about_ca_topic_score_gemma":0.000488808,"teacher_disagreement_score":0.010111308,"about_ca_system_score_codex":0.00002647386,"about_ca_system_score_gemma":0.000081583414,"threshold_uncertainty_score":0.5556396},"labels":[],"label_agreement":null},{"id":"W2023120264","doi":"10.4236/ojpm.2011.13024","title":"Neighbourhood differences in objectively measured physical activity, sedentary time and body mass index","year":2011,"lang":"en","type":"article","venue":"Open Journal of Preventive Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Children's Hospital of Eastern Ontario; University of Ottawa","funders":"Social Sciences and Humanities Research Council of Canada; Canadian Institutes of Health Research; Champlain Local Health Integration Network; University of Ottawa","keywords":"Neighbourhood (mathematics); Body mass index; Demography; Socioeconomic status; Logistic regression; Physical activity; Analysis of covariance; Recreation; Post hoc; Post-hoc analysis; Household income; Gerontology; Analysis of variance; Medicine; Geography; Statistics; Physical therapy; Mathematics; Population; Sociology","score_opus":0.05594056531046761,"score_gpt":0.3297742702703358,"score_spread":0.2738337049598682,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023120264","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97862905,0.00012754386,0.0001943089,0.00046957808,0.00015804646,0.0003747955,0.0000034334566,0.0000041159683,0.020039134],"genre_scores_gemma":[0.9987726,0.000035913865,0.00008524011,0.000024988924,0.00026731286,0.0000037606515,5.765812e-7,0.0000066274283,0.00080294634],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99829,0.00048945565,0.0002898091,0.00019434266,0.00051932177,0.0002170983],"domain_scores_gemma":[0.99907124,0.00012493377,0.00037800486,0.00008962195,0.0001566644,0.00017953277],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0017650005,0.00013170438,0.00052841584,0.00011818797,0.0001365202,0.00003930238,0.000571815,0.00005497508,0.0010523777],"category_scores_gemma":[0.00014915803,0.000092381015,0.00006507809,0.0002584583,0.00048947806,0.00094999565,0.00006495368,0.0003272423,0.000002898051],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038298345,0.0004970674,0.9734816,0.00000924769,0.00008681747,0.000060678496,0.014401673,4.7791367e-8,0.0016667771,0.000107024476,0.00005139771,0.009254664],"study_design_scores_gemma":[0.0014355428,0.00035475323,0.98458326,0.00023527075,0.000076108554,0.0000019669687,0.0023429259,0.00001515965,0.00040757898,0.01041815,0.000026757618,0.000102508835],"about_ca_topic_score_codex":0.004726562,"about_ca_topic_score_gemma":0.0015526732,"teacher_disagreement_score":0.020143589,"about_ca_system_score_codex":0.000066206834,"about_ca_system_score_gemma":0.00019741352,"threshold_uncertainty_score":0.9998608},"labels":[],"label_agreement":null},{"id":"W2023153826","doi":"10.1080/0042098042000268429","title":"Network Accessibility and the Spatial Distribution of Economic Activity in Eastern Asia","year":2004,"lang":"en","type":"article","venue":"Urban Studies","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Economic geography; Distribution (mathematics); Process (computing); Regional science; Economic integration; Spatial distribution; Multivariate statistics; Geography; Economics; Computer science; International trade","score_opus":0.034537130978409915,"score_gpt":0.3188734498519516,"score_spread":0.28433631887354166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023153826","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99520767,0.0019338023,0.00015643818,0.0011648047,0.00020066621,0.00026653695,0.000012442504,0.000016024207,0.001041615],"genre_scores_gemma":[0.9995939,0.000111512076,0.000008644376,0.000013668873,0.00020364001,0.000013920713,0.0000023023772,0.0000024592787,0.00004995263],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991447,0.00013561094,0.00021359295,0.00020032951,0.00011254091,0.00019323995],"domain_scores_gemma":[0.99953026,0.00015490221,0.000119071876,0.00013529218,0.000033307322,0.000027159776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000977812,0.00008345805,0.00026395783,0.000010732772,0.00026619714,0.000023995279,0.00013894163,0.000044598313,0.000007066167],"category_scores_gemma":[0.000090537986,0.000057437377,0.000048345824,0.00010445436,0.0012156151,0.00021254463,0.000055823148,0.000091599795,0.0000016083826],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013922491,0.00003698229,0.9875447,0.000016831797,0.000022828872,5.284612e-7,0.005233357,0.000038711954,0.000001396551,0.0048292824,0.00006103113,0.0020751122],"study_design_scores_gemma":[0.0008344144,0.000012140054,0.9688587,0.000022799713,0.00001937774,2.3067106e-8,0.0010411884,0.00001537366,0.000031921045,0.028937131,0.00016317237,0.0000637142],"about_ca_topic_score_codex":0.010557163,"about_ca_topic_score_gemma":0.07017169,"teacher_disagreement_score":0.05961453,"about_ca_system_score_codex":0.00015670543,"about_ca_system_score_gemma":0.00008242665,"threshold_uncertainty_score":0.99603164},"labels":[],"label_agreement":null},{"id":"W2023676840","doi":"10.1016/j.ypmed.2014.07.026","title":"The home physical environment and its relationship with physical activity and sedentary behavior: A systematic review","year":2014,"lang":"en","type":"review","venue":"Preventive Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":170,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Social Sciences and Humanities Research Council of Canada; Canadian Institutes of Health Research","keywords":"Observational study; PsycINFO; Medicine; Psychological intervention; Sedentary behavior; Limiting; Physical activity; MEDLINE; Randomized controlled trial; Physical therapy; Nursing","score_opus":0.048494504889022676,"score_gpt":0.36991410089430304,"score_spread":0.32141959600528036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023676840","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0058145938,0.9896674,0.0000199478,0.0003088995,0.000049608003,0.0039423136,0.000012572814,0.000021430238,0.0001631908],"genre_scores_gemma":[0.053640857,0.9446441,0.000002587477,0.000017011836,0.00028923113,0.0006245183,0.000018414656,0.000017986195,0.00074528134],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9971306,0.0012683491,0.00033808962,0.00044024698,0.000587289,0.00023546626],"domain_scores_gemma":[0.9977069,0.001311252,0.00048824912,0.00030538125,0.000029608742,0.00015860777],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014692141,0.00031391683,0.0019216393,0.000030876767,0.00052056566,0.000027608477,0.00024496386,0.000074968426,0.00001568831],"category_scores_gemma":[0.00018951952,0.00015143964,0.00016332681,0.00016948087,0.00080757204,0.00014010635,0.00005404445,0.00041417626,0.000010292069],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009049012,0.00032257973,0.001641607,0.8950676,0.00027188062,0.000012021516,0.0026839464,6.6857195e-9,3.02536e-7,0.0010770124,0.00006704895,0.098847],"study_design_scores_gemma":[0.00057964906,0.0003614937,0.014001806,0.8864046,0.032172017,0.0000106162,0.00037610962,0.000007934205,3.4179837e-7,0.0008452258,0.064470015,0.00077019195],"about_ca_topic_score_codex":0.000074361604,"about_ca_topic_score_gemma":0.0000821817,"teacher_disagreement_score":0.098076805,"about_ca_system_score_codex":0.00009542218,"about_ca_system_score_gemma":0.000071345254,"threshold_uncertainty_score":0.61755294},"labels":[],"label_agreement":null},{"id":"W2023765483","doi":"10.1007/s11524-014-9932-1","title":"Do Relationships Between Environmental Attributes and Recreational Walking Vary According to Area-Level Socioeconomic Status?","year":2015,"lang":"en","type":"article","venue":"Journal of Urban Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":52,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Douglas Mental Health University Institute","funders":"National Medical Research Council; National Health and Medical Research Council; University of South Australia","keywords":"Walkability; Socioeconomic status; Recreation; Geography; Destinations; Built environment; Environmental health; Disadvantaged; Poison control; Injury prevention; Occupational safety and health; Socioeconomics; Psychology; Tourism; Medicine; Population; Engineering; Sociology; Economic growth","score_opus":0.1720544194008917,"score_gpt":0.35370731598200883,"score_spread":0.18165289658111713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023765483","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9916792,0.0015711399,0.00071912917,0.0052373027,0.00020190277,0.00015647172,0.0000786372,0.00001015985,0.00034609003],"genre_scores_gemma":[0.9964698,0.00014026063,0.0024004139,0.00015919647,0.0006869891,0.0000013609082,0.000016803353,0.000008247281,0.00011694187],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998369,0.00026150214,0.0005645902,0.00015089154,0.0003439026,0.00031014043],"domain_scores_gemma":[0.9983811,0.0003176438,0.00043750723,0.000078189725,0.00005182601,0.0007337386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033080815,0.000091396265,0.0002712484,0.00011974842,0.00052968116,0.000082935956,0.00014508168,0.00007439182,0.000068709756],"category_scores_gemma":[0.00019711549,0.000087065084,0.000061104874,0.00008592153,0.000116501804,0.00063356303,0.000023466773,0.00032663564,0.000009628],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022178312,0.000024419975,0.98104376,0.000005790486,0.000017325405,0.000001287212,0.012272927,0.000008300137,0.0000033069975,0.00021213495,0.002276588,0.004111998],"study_design_scores_gemma":[0.00034191163,0.00010077272,0.9760569,0.000051186773,0.000016209306,0.0000013204551,0.013249526,0.0000035701744,0.000003496793,0.0034882717,0.00659465,0.00009218162],"about_ca_topic_score_codex":0.0003483317,"about_ca_topic_score_gemma":0.00020472062,"teacher_disagreement_score":0.005078106,"about_ca_system_score_codex":0.00088865036,"about_ca_system_score_gemma":0.0008644905,"threshold_uncertainty_score":0.40739325},"labels":[],"label_agreement":null},{"id":"W2023906906","doi":"10.1139/l10-008","title":"Analysis of work trip timing and mode choice in the Greater Toronto Area","year":2010,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Canadian Natural Resources; IBI Group (Canada); University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mode choice; Mode (computer interface); Multinomial logistic regression; Work (physics); Econometrics; Modal; Transport engineering; Trip distribution; Travel behavior; Logit; Statistics; Computer science; Economics; Engineering; Mathematics; Public transport","score_opus":0.017469056303988473,"score_gpt":0.24775972810530328,"score_spread":0.2302906718013148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023906906","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99742013,0.00031579594,0.0002260308,0.00017725985,0.00013684461,0.000032812084,0.0000032182713,0.000001927089,0.001685971],"genre_scores_gemma":[0.99979717,0.000005608095,0.00005779655,0.000019067556,0.00009252678,5.876139e-7,4.3744888e-7,0.0000033240065,0.000023509972],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994323,0.000017168939,0.00020151385,0.00005647085,0.0001224645,0.00017004984],"domain_scores_gemma":[0.9995446,0.00007820746,0.00006439344,0.00008341056,0.000046856214,0.00018250254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059234304,0.000053195487,0.00016250268,0.00016951167,0.000060012397,0.000041443745,0.0002046375,0.0000489042,0.00022984947],"category_scores_gemma":[0.000117457144,0.000041166782,0.00007049606,0.00039936492,0.000050776915,0.00021864513,0.0000017620455,0.00017148095,5.718586e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000021432359,0.000003280723,0.9840419,0.0000056265835,0.000059493534,0.000013635585,0.012100341,0.0031187988,0.00006686032,0.000071158465,0.000033686523,0.00048305182],"study_design_scores_gemma":[0.000093730734,0.0000055613395,0.9958583,0.0000266434,0.00012214466,6.024782e-7,0.00051929057,0.00091883156,0.00000858548,0.000019113031,0.0023659393,0.000061253035],"about_ca_topic_score_codex":0.08385709,"about_ca_topic_score_gemma":0.9870708,"teacher_disagreement_score":0.9032137,"about_ca_system_score_codex":0.000058741283,"about_ca_system_score_gemma":0.00016720657,"threshold_uncertainty_score":0.9222436},"labels":[],"label_agreement":null},{"id":"W2023907620","doi":"10.1016/j.ypmed.2014.07.036","title":"Association between habitual school travel and muscular fitness in youth","year":2014,"lang":"en","type":"article","venue":"Preventive Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"University of Essex","keywords":"Vertical jump; Medicine; Physical strength; Jump; Physical fitness; Physical therapy; Demography","score_opus":0.02265897760758421,"score_gpt":0.29950540746335214,"score_spread":0.2768464298557679,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023907620","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98828524,0.00017316203,0.0013268107,0.0016940794,0.00013224354,0.00024375608,0.000007802038,0.000021903556,0.008115],"genre_scores_gemma":[0.997817,0.000024152338,0.000033153352,0.000064754626,0.0005315442,0.0000062410045,0.000027239334,0.000005012645,0.0014908944],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99865997,0.00030997916,0.00023130995,0.00021761519,0.00036220954,0.00021888808],"domain_scores_gemma":[0.9994346,0.0001892739,0.00010365604,0.0000869248,0.00006276664,0.00012280361],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026008831,0.0000828965,0.00024453487,0.00006685382,0.00012789476,0.000013583715,0.000117682735,0.00008987481,0.0002259011],"category_scores_gemma":[0.0010097019,0.000069585694,0.000031231077,0.00022021901,0.0001884866,0.0001707869,0.0000132339055,0.00015881698,0.000005977449],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000040064074,0.000020555719,0.98335195,0.000012161573,0.00001735712,4.2780817e-7,0.012863493,1.0259849e-7,0.000023486782,0.00019573866,0.000060769114,0.0034499646],"study_design_scores_gemma":[0.00079164846,0.000035453846,0.99070317,0.000084513646,0.000080269885,8.81566e-9,0.0037022522,0.0000058957244,0.000032040778,0.0039145537,0.0005702649,0.00007994627],"about_ca_topic_score_codex":0.004017236,"about_ca_topic_score_gemma":0.0039961333,"teacher_disagreement_score":0.009531765,"about_ca_system_score_codex":0.00010591915,"about_ca_system_score_gemma":0.000040185172,"threshold_uncertainty_score":0.6072886},"labels":[],"label_agreement":null},{"id":"W2023994065","doi":"10.1068/b39036","title":"Planning Health-Promoting Development: Creation and Assessment of an Evidence-Based Index in the Region of Peel, Canada","year":2013,"lang":"en","type":"article","venue":"Environment and Planning B Planning and Design","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Public Health Ontario; McMaster University; St. Michael's Hospital","funders":"","keywords":"Zoning; Sustainability; Public health; Environmental planning; Variety (cybernetics); Intervention (counseling); Health policy; Business; Index (typography); Urban planning; Psychological intervention; Political science; Process management; Medicine; Engineering; Geography; Nursing; Computer science","score_opus":0.08293849326109393,"score_gpt":0.31849934852775486,"score_spread":0.23556085526666093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023994065","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9911525,0.002265238,0.005657182,0.00036169495,0.000021234971,0.00034967499,0.0000012462953,0.000008362482,0.00018282057],"genre_scores_gemma":[0.9967485,0.000043571952,0.0030376227,0.000097132324,0.000024135132,0.000016763473,0.000012077393,0.0000050464178,0.000015169381],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985458,0.00033808532,0.00033223743,0.00023227841,0.00033419192,0.00021736357],"domain_scores_gemma":[0.9990116,0.00056019705,0.00023496413,0.00009138638,0.000011337299,0.00009055578],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014131787,0.00011738002,0.00020606736,0.00007020868,0.00038330234,0.00005643511,0.00009989258,0.00006251438,0.000008241108],"category_scores_gemma":[0.000044829805,0.000094474635,0.000009297922,0.00008211793,0.00016296012,0.00030675076,0.000012526596,0.00015002303,4.233954e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002274346,0.00002703064,0.96939963,0.00006652161,0.0000058686223,0.000008947255,0.023535289,0.0020826715,0.00005184934,0.000014089363,0.00005503142,0.0047303075],"study_design_scores_gemma":[0.00023069228,0.00009281681,0.9859816,0.0006137931,0.000007496433,9.2076885e-7,0.0071601234,0.0054518823,0.00006744957,0.000075278156,0.00020958799,0.000108373424],"about_ca_topic_score_codex":0.08163602,"about_ca_topic_score_gemma":0.0018014099,"teacher_disagreement_score":0.07983461,"about_ca_system_score_codex":0.000056288332,"about_ca_system_score_gemma":0.00035436792,"threshold_uncertainty_score":0.9244794},"labels":[],"label_agreement":null},{"id":"W2024070211","doi":"10.3141/2078-09","title":"Simulation Framework for Analysis of Elderly Mobility Policies","year":2008,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"University of Toronto","keywords":"Sustainability; Population; Policy analysis; Transportation planning; Transport engineering; Process (computing); Population ageing; License; Policy development; Transport policy; Environmental economics; Business; Computer science; Public transport; Economics; Engineering; Political science; Environmental health","score_opus":0.1996967059364703,"score_gpt":0.48244827482453667,"score_spread":0.2827515688880664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2024070211","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.970741,0.00017724154,0.025391188,0.0017474225,0.000311285,0.0012875721,0.00018248128,0.000025638596,0.000136193],"genre_scores_gemma":[0.9950369,0.00041847202,0.0038162288,0.000024485964,0.00021831816,0.000059221416,0.000028269573,0.000027285434,0.00037079985],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9913991,0.0013715154,0.0017692698,0.00041236807,0.004176675,0.0008710469],"domain_scores_gemma":[0.9857357,0.0054301633,0.000752062,0.00054548023,0.007167359,0.00036922906],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0074473387,0.00020237571,0.00071754464,0.0015748945,0.0016076491,0.000070171685,0.0012476892,0.00031157336,0.00042433923],"category_scores_gemma":[0.0012490199,0.00016086572,0.0010734393,0.006439791,0.0021979895,0.00078930403,0.000003934132,0.0013241805,0.0000024895144],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001231552,0.00045778102,0.94570875,0.00014999624,0.00056237425,0.000010600916,0.021570187,0.017780412,0.0002466324,0.010225308,0.00028745746,0.0017689305],"study_design_scores_gemma":[0.00061630696,0.000390185,0.97458166,0.0001060878,0.00033230885,1.1975866e-8,0.0042441515,0.0004786371,0.000356647,0.014446948,0.004297527,0.0001495569],"about_ca_topic_score_codex":0.0401584,"about_ca_topic_score_gemma":0.1521959,"teacher_disagreement_score":0.1120375,"about_ca_system_score_codex":0.0002522053,"about_ca_system_score_gemma":0.0012303966,"threshold_uncertainty_score":0.99969214},"labels":[],"label_agreement":null},{"id":"W2024392836","doi":"10.1080/00045608.2011.627059","title":"Route-Based Analysis to Capture the Environmental Influences on a Child's Mode of Travel between Home and School","year":2011,"lang":"en","type":"article","venue":"Annals of the Association of American Geographers","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":124,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University; University of Toronto","funders":"","keywords":"TRIPS architecture; Travel behavior; Geography; Travel survey; Mode choice; Logistic regression; Socioeconomics; Psychology; Demography; Transport engineering; Public transport; Medicine; Sociology; Engineering","score_opus":0.018004066589768126,"score_gpt":0.2804250464912156,"score_spread":0.26242097990144747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2024392836","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99642867,0.000040252984,0.000019185478,0.0020676146,0.000016288926,0.00018021688,0.0001980147,0.000005606255,0.0010441276],"genre_scores_gemma":[0.9993592,0.000034324567,0.0000640501,0.0004752225,0.000014931355,0.000004903443,0.0000049573614,0.000003834879,0.000038565282],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986369,0.00021471323,0.000285434,0.00015521333,0.00053484266,0.00017286743],"domain_scores_gemma":[0.99876064,0.00013337664,0.00075009564,0.00021636588,0.000060952872,0.00007859653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061972666,0.000089290865,0.00030417132,0.00012337856,0.00016830438,0.000009853822,0.00039808758,0.000049173686,0.000053254815],"category_scores_gemma":[0.0000955156,0.00005896252,0.00031193902,0.0011226799,0.0006556739,0.00008575827,0.000017509024,0.000095775635,5.613921e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025646139,0.00006386278,0.9934793,0.000002117665,0.00049174513,1.9911646e-8,0.0050517274,0.00012261859,0.000035695102,0.000027234388,0.00004239315,0.0006576232],"study_design_scores_gemma":[0.0000877956,0.00007169069,0.9944204,0.000008416819,0.00027136938,1.5407482e-9,0.003944818,0.0000049811056,0.00087589875,0.0001936127,0.0000521032,0.00006888532],"about_ca_topic_score_codex":0.027944827,"about_ca_topic_score_gemma":0.0026729098,"teacher_disagreement_score":0.025271919,"about_ca_system_score_codex":0.000021417129,"about_ca_system_score_gemma":0.000041780873,"threshold_uncertainty_score":0.97852814},"labels":[],"label_agreement":null},{"id":"W2024510739","doi":"10.3141/2156-17","title":"Built Environment and School Travel Mode Choice in Toronto, Canada","year":2010,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":139,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"General Electric (Canada); University of Toronto","funders":"University of Toronto","keywords":"Built environment; Psychological intervention; Residence; Mode choice; Travel behavior; TRIPS architecture; Urbanization; Psychology; Geography; Transport engineering; Public transport; Sociology; Economic growth; Engineering; Demography; Economics","score_opus":0.05479312278792432,"score_gpt":0.3946721024136385,"score_spread":0.3398789796257142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2024510739","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99243325,0.0002946095,0.00008554868,0.0044957357,0.00051466766,0.00083741563,0.00006225421,0.000010103404,0.0012664077],"genre_scores_gemma":[0.9970713,0.00096915296,0.0004988111,0.000055249948,0.0002835544,0.000045374523,0.000008932432,0.000028527546,0.0010390944],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9926464,0.0009091259,0.0011391423,0.00042961852,0.003908081,0.000967613],"domain_scores_gemma":[0.9966978,0.00090678176,0.00027860148,0.00040225132,0.000975258,0.00073930057],"candidate_categories":["research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004776751,0.00020646404,0.00038652847,0.00030378712,0.0008597258,0.00013685369,0.0011086022,0.00022941634,0.0021488797],"category_scores_gemma":[0.00032404327,0.00016756318,0.00016407756,0.0008075257,0.0010520784,0.0010091806,0.00000574227,0.0027992607,0.000005030641],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002881764,0.00015667477,0.98811954,0.00006536503,0.000031380026,0.000054087923,0.002659967,0.00006248273,0.0031155134,0.0013176213,0.0012927919,0.0028363795],"study_design_scores_gemma":[0.0009434722,0.000092120055,0.9684249,0.00008042445,0.000018935607,6.20642e-8,0.004875012,0.000032685963,0.00035919258,0.0015915773,0.023416212,0.00016541909],"about_ca_topic_score_codex":0.98930705,"about_ca_topic_score_gemma":0.99981475,"teacher_disagreement_score":0.022123419,"about_ca_system_score_codex":0.0008528488,"about_ca_system_score_gemma":0.0029826735,"threshold_uncertainty_score":0.99950135},"labels":[],"label_agreement":null},{"id":"W2024700801","doi":"10.1016/j.amepre.2010.05.015","title":"Replication of the Neighborhood Active Living Potential Measure in Saskatoon, Canada","year":2010,"lang":"en","type":"article","venue":"American Journal of Preventive Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Saskatchewan; Saskatchewan Health; Université de Montréal","funders":"Canadian Institutes of Health Research","keywords":"Replication (statistics); Measure (data warehouse); Environmental health; MEDLINE; Gerontology; Medicine; Biology; Computer science; Virology; Data mining","score_opus":0.006567279785993462,"score_gpt":0.27140835434115496,"score_spread":0.2648410745551615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2024700801","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9926167,0.000072072835,0.00024871583,0.0040590847,0.0005234353,0.0001306315,0.0000031129196,0.0000020820091,0.0023441643],"genre_scores_gemma":[0.9993771,0.0000094699,0.00005249574,0.000093227514,0.00030813244,0.0000012943017,3.8204877e-7,0.0000045266797,0.0001533729],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983449,0.00031316365,0.00043791684,0.00013275217,0.0006221024,0.00014915818],"domain_scores_gemma":[0.99821436,0.00017030675,0.0009223516,0.0002387436,0.00036508898,0.00008912332],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017202116,0.00007198091,0.0002770056,0.000057150206,0.00009627778,0.000004200581,0.00042381926,0.000025012783,0.00021849299],"category_scores_gemma":[0.0010776585,0.000045504676,0.00007258829,0.0005201851,0.0008878139,0.00016099657,0.00001639906,0.00040496915,9.498738e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000068659545,0.00012063402,0.8993193,0.000007825606,0.00005637004,0.0000070916885,0.012778342,0.0000033789793,0.008028077,0.00020754586,0.00044783694,0.07895496],"study_design_scores_gemma":[0.0002184604,0.00010295708,0.98667675,0.00017932021,0.000049933737,0.0000021004885,0.011262338,0.0000031806956,0.0004973563,0.00042369612,0.0005351383,0.000048742273],"about_ca_topic_score_codex":0.32781813,"about_ca_topic_score_gemma":0.7948373,"teacher_disagreement_score":0.46701917,"about_ca_system_score_codex":0.00010349531,"about_ca_system_score_gemma":0.0012043448,"threshold_uncertainty_score":0.676658},"labels":[],"label_agreement":null},{"id":"W2025206513","doi":"10.1111/j.1541-0064.2009.00298.x","title":"Spatial analysis in Canada: introduction","year":2010,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"","keywords":"Geographer; Library science; Citation; Geography; Cartography; Computer science","score_opus":0.005531905939759315,"score_gpt":0.2004366891682055,"score_spread":0.1949047832284462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025206513","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98693526,0.00023644482,0.000004818814,0.005245063,0.002230391,0.00029901447,0.00022487079,0.000057593974,0.0047665294],"genre_scores_gemma":[0.9985755,0.00013358977,0.00005503365,0.0002822826,0.00064197375,0.00004128498,0.00012552709,0.000015740823,0.00012907028],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99696237,0.000103591825,0.00045697665,0.00066403556,0.00039950025,0.0014135111],"domain_scores_gemma":[0.9976476,0.00007081869,0.00011530757,0.000559059,0.00020831818,0.0013989324],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000528475,0.00028411305,0.00043702824,0.003323156,0.00088643434,0.00012416688,0.0006345659,0.00019949597,0.0010934755],"category_scores_gemma":[0.00017893212,0.00032119997,0.0002732788,0.0150553575,0.0013164001,0.00035500826,0.000014915414,0.0004655043,0.0000028702666],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007188786,0.000010839863,0.98635453,0.000006505426,0.0001440958,0.00005893943,0.00081170065,0.00001561233,0.000004534209,0.0049024913,0.0018076322,0.005875945],"study_design_scores_gemma":[0.00012368828,0.000008184737,0.9114257,0.0000028665636,0.000134883,8.01445e-7,0.0063859415,0.00001290777,0.000004138891,0.0009827832,0.08055952,0.00035856478],"about_ca_topic_score_codex":0.999995,"about_ca_topic_score_gemma":1,"teacher_disagreement_score":0.07875189,"about_ca_system_score_codex":0.0006795722,"about_ca_system_score_gemma":0.0046997718,"threshold_uncertainty_score":0.999924},"labels":[],"label_agreement":null},{"id":"W2025543749","doi":"10.1016/j.amepre.2011.03.002","title":"Use of a New Public Bicycle Share Program in Montreal, Canada","year":2011,"lang":"en","type":"article","venue":"American Journal of Preventive Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":189,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Montréal","funders":"Canadian Institutes of Health Research","keywords":"Random digit dialing; Cycling; Public health; Logistic regression; Public transport; Environmental health; Population; Gerontology; Telephone survey; Stratified sampling; Injury prevention; Poison control; Medicine; Demography; Geography; Business; Transport engineering; Advertising; Engineering; Sociology","score_opus":0.07328162101021343,"score_gpt":0.3247282607564227,"score_spread":0.2514466397462093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025543749","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959459,0.00026329764,0.00009022839,0.001426388,0.00013232407,0.00017993413,0.000005131998,0.0000053626873,0.0019514498],"genre_scores_gemma":[0.99855065,0.000053117048,0.00069807004,0.00008568095,0.00014289128,0.0000020479843,0.0000016994865,0.0000053391946,0.00046051922],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99846977,0.00018784605,0.000529574,0.000110447334,0.0004676571,0.00023468582],"domain_scores_gemma":[0.9985875,0.00009177089,0.0006848325,0.00010925649,0.00025000868,0.00027665278],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005773004,0.00008642488,0.0004017577,0.00013362362,0.000041436804,0.000007250461,0.00030056454,0.00001917384,0.00084733876],"category_scores_gemma":[0.0003997194,0.00006343651,0.00006521082,0.0007039979,0.0006452615,0.00035875692,0.000012467727,0.00016622993,3.3869392e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005835043,0.00016844076,0.7856232,0.000006086374,0.000039761173,0.000043334432,0.010534089,2.4108465e-7,0.000013305162,0.000028940884,0.0021370798,0.2013472],"study_design_scores_gemma":[0.00038471285,0.00053633336,0.98357296,0.00016284008,0.000037280417,9.566043e-7,0.009325681,0.0000017463944,0.00003049299,0.000517158,0.005365447,0.00006440259],"about_ca_topic_score_codex":0.9553921,"about_ca_topic_score_gemma":0.96515167,"teacher_disagreement_score":0.2012828,"about_ca_system_score_codex":0.0001141844,"about_ca_system_score_gemma":0.0012256738,"threshold_uncertainty_score":0.9277765},"labels":[],"label_agreement":null},{"id":"W2025547609","doi":"10.1289/ehp.0900595","title":"Healthy Neighborhoods: Walkability and Air Pollution","year":2009,"lang":"en","type":"article","venue":"Environmental Health Perspectives","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":283,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Walkability; Environmental health; Air pollution; Environmental science; Geography; Urban sprawl; Built environment; Pollution; Air quality index; Land use; Medicine; Ecology; Meteorology","score_opus":0.012812959363222005,"score_gpt":0.31349512732733437,"score_spread":0.30068216796411235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025547609","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9449845,0.0051164716,0.00009231189,0.04461859,0.00008700783,0.00047117594,0.000027071017,0.00009258706,0.0045102583],"genre_scores_gemma":[0.99558866,0.0011744526,0.0002762811,0.002576892,0.00019100847,0.000005745845,0.000006827321,0.0000057798393,0.0001743269],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99838907,0.00022795831,0.00023004829,0.00043509947,0.0002894743,0.00042835154],"domain_scores_gemma":[0.99938446,0.000031382147,0.00008803818,0.00016857241,0.0000048951456,0.000322658],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006258183,0.0001242241,0.00018702031,0.000041130737,0.000978301,0.000018869123,0.000105581275,0.00007370803,0.00030518387],"category_scores_gemma":[0.000020971367,0.00012455898,0.00005283916,0.00010794577,0.0005340001,0.0003452871,0.000012678936,0.0001752457,0.000014108049],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030535005,0.0028301023,0.61851984,0.000058574715,0.000019058472,0.0000047176404,0.22682254,0.0000064791516,0.00016767328,0.024070345,0.0006876656,0.12650765],"study_design_scores_gemma":[0.00026497984,0.00033553582,0.9521465,0.000007056877,0.0000029751727,3.3719115e-7,0.038404074,0.000003966639,0.000008550472,0.0045462823,0.0041628536,0.0001168878],"about_ca_topic_score_codex":0.0018675851,"about_ca_topic_score_gemma":0.0007436544,"teacher_disagreement_score":0.33362666,"about_ca_system_score_codex":0.00096355885,"about_ca_system_score_gemma":0.00012668082,"threshold_uncertainty_score":0.75244},"labels":[],"label_agreement":null},{"id":"W2025684036","doi":"10.1186/s12966-014-0146-4","title":"Are park proximity and park features related to park use and park-based physical activity among adults? Variations by multiple socio-demographic characteristics","year":2014,"lang":"en","type":"article","venue":"International Journal of Behavioral Nutrition and Physical Activity","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":311,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Health and Medical Research Council; State Government of Victoria; Robert Wood Johnson Foundation","keywords":"Geography; National park; Mile; Socioeconomics; Archaeology; Sociology","score_opus":0.0219645730050562,"score_gpt":0.31716841659680234,"score_spread":0.2952038435917461,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025684036","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99694616,0.0000122072415,0.00039740253,0.0017666067,0.00018771441,0.00032840756,0.00032167323,0.000032298612,0.0000075427874],"genre_scores_gemma":[0.99935395,0.000033263907,0.00011942524,0.000063187596,0.00035158373,0.000022469356,0.000029045674,0.000012459854,0.000014628406],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99825144,0.00034361036,0.00023107411,0.0003356899,0.00060911465,0.00022910083],"domain_scores_gemma":[0.99810976,0.0004592753,0.0005437715,0.000102023776,0.00044239013,0.000342797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003259632,0.00021200105,0.00040867057,0.0001033279,0.00037664792,0.00031048933,0.00017714461,0.00014821488,0.0000071700547],"category_scores_gemma":[0.0001927247,0.00019339459,0.00016923281,0.00018003849,0.0004664101,0.0013472143,0.00003810215,0.00052173535,5.2951907e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00066619896,0.0054071955,0.9712819,0.000029482497,0.000050203824,0.00000914491,0.0013496008,0.0000012269634,0.0039842795,0.000132712,0.00019152525,0.016896559],"study_design_scores_gemma":[0.001429473,0.00017910248,0.9948753,0.00014667133,0.00009896443,0.0000016997441,0.0001484096,0.00067031407,0.00090119685,0.0010523223,0.000272924,0.00022362772],"about_ca_topic_score_codex":0.0007845492,"about_ca_topic_score_gemma":0.00038606822,"teacher_disagreement_score":0.023593422,"about_ca_system_score_codex":0.000073546114,"about_ca_system_score_gemma":0.000038537117,"threshold_uncertainty_score":0.7886402},"labels":[],"label_agreement":null},{"id":"W2025717249","doi":"10.1016/j.ypmed.2011.09.021","title":"The impact of public transportation strikes on use of a bicycle share program in London: Interrupted time series design","year":2011,"lang":"en","type":"article","venue":"Preventive Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":94,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"Economic and Social Research Council; Medical Research Council; Economic and Social Research Institute; Centre for Diet and Activity Research; National Institute for Health and Care Research; Fondation pour la Recherche Médicale; United Kingdom Clinical Research Collaboration; British Heart Foundation; Wellcome Trust; Social Sciences and Humanities Research Council of Canada; Queen Mary University of London","keywords":"Interrupted time series; TRIPS architecture; Cycling; Medicine; Interrupted Time Series Analysis; Duration (music); Limiting; Public transport; Population; Poison control; Transport engineering; Demography; Environmental health; Engineering; Geography; Statistics","score_opus":0.13183186962083346,"score_gpt":0.36466256997511926,"score_spread":0.2328307003542858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025717249","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99781334,0.00018012205,0.00028280658,0.00018074914,0.000038381757,0.00081829575,0.000027155287,0.00002802114,0.00063111464],"genre_scores_gemma":[0.99934363,0.000043678006,0.00020566315,0.0000034075256,0.000022742684,0.000038080892,0.000030109424,0.0000058920864,0.0003067694],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987229,0.00029625223,0.0003799937,0.00014909786,0.0002570348,0.0001946816],"domain_scores_gemma":[0.9992021,0.0001979326,0.00022264721,0.00014255846,0.00017380275,0.000060991333],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009466355,0.000096717034,0.0002328362,0.00009247134,0.00007426437,0.000009671117,0.00021206275,0.000049031532,0.00069772784],"category_scores_gemma":[0.00030852392,0.000056579574,0.00008691239,0.00048950664,0.00065935985,0.0004021869,0.000004051383,0.00009393058,0.000001406275],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00052053895,0.00058746,0.93172705,0.000031584987,0.00007626908,0.0000038573135,0.033191487,0.000003177677,0.00044265343,0.00030708613,0.00015457343,0.032954257],"study_design_scores_gemma":[0.0004021926,0.0008909796,0.99413127,0.00018962882,0.00002454608,2.9429701e-8,0.001477895,0.000022732464,0.0011638959,0.001541774,0.00009792328,0.000057147558],"about_ca_topic_score_codex":0.0055837166,"about_ca_topic_score_gemma":0.0050426144,"teacher_disagreement_score":0.0624042,"about_ca_system_score_codex":0.000043770437,"about_ca_system_score_gemma":0.00011380387,"threshold_uncertainty_score":0.84409463},"labels":[],"label_agreement":null},{"id":"W2026084185","doi":"10.1139/apnm-2013-0450","title":"Assessing the health-related outcomes and correlates of active transportation in children and youth","year":2013,"lang":"en","type":"article","venue":"Applied Physiology Nutrition and Metabolism","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Children's Hospital of Eastern Ontario","funders":"International Development Research Centre; Canadian Institutes of Health Research; University of Ottawa","keywords":"Neighbourhood (mathematics); TRIPS architecture; Cycling; Physical activity; Psychology; Gerontology; Perception; Demography; Medicine; Environmental health; Geography; Transport engineering; Physical therapy; Engineering","score_opus":0.014596780812115162,"score_gpt":0.2863764660046718,"score_spread":0.27177968519255663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026084185","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99711525,0.0015743686,0.0000040889495,0.0005817627,0.00003596252,0.0005389355,0.00002222723,0.000014560404,0.00011281129],"genre_scores_gemma":[0.9988318,0.00085922604,0.000048944443,0.0001269249,0.000018095976,0.000030813902,0.000075082644,0.000003725113,0.0000053722547],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99931014,0.00008905589,0.00022523916,0.00017516101,0.00006359315,0.00013680302],"domain_scores_gemma":[0.99967873,0.00007205683,0.0001251282,0.000053271546,0.000023799259,0.00004699697],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019420013,0.00007915333,0.0002462809,0.00004319961,0.00019822699,0.000022180067,0.00004424375,0.000088391316,0.000018696355],"category_scores_gemma":[0.0000061149035,0.000056824174,0.00002028326,0.00011775943,0.00045135236,0.00023230397,0.000004398927,0.00012275008,4.1522725e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044339635,0.00035297405,0.8286628,0.000057810492,0.00009689866,9.8619054e-8,0.06895265,0.0000010789817,0.0048688706,0.046182185,0.000023259523,0.050757047],"study_design_scores_gemma":[0.00091472326,0.0000031509287,0.974685,0.000010007698,0.000022901568,6.8624786e-8,0.0068678916,0.0000024190879,0.00006270751,0.017350376,0.000023846533,0.000056872625],"about_ca_topic_score_codex":0.0038186675,"about_ca_topic_score_gemma":0.00023967371,"teacher_disagreement_score":0.14602225,"about_ca_system_score_codex":0.0000044858657,"about_ca_system_score_gemma":0.000020446769,"threshold_uncertainty_score":0.57727087},"labels":[],"label_agreement":null},{"id":"W2026326672","doi":"10.1068/a3375","title":"Suburban Mixed-Use Centres and Urban Dispersion: What Difference do they Make?","year":2001,"lang":"en","type":"article","venue":"Environment and Planning A Economy and Space","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":104,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Urban sprawl; Metropolitan area; Pedestrian; Transport engineering; Context (archaeology); Land use; Geography; Urban planning; Land-use planning; Environmental planning; Business; Civil engineering; Engineering","score_opus":0.01645277196988629,"score_gpt":0.22143729317009717,"score_spread":0.20498452120021088,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026326672","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9884714,0.0076222275,0.00003235037,0.001205442,0.000082967286,0.00013415574,0.000004666848,0.000021809696,0.0024249624],"genre_scores_gemma":[0.9894885,0.006998799,0.00005378486,0.00009035236,0.000121072655,0.00000457795,0.000008833649,0.0000057044426,0.0032283876],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99914694,0.000055867444,0.000118019314,0.0003419999,0.00007913348,0.00025804635],"domain_scores_gemma":[0.99951226,0.00012508176,0.00005324298,0.000115960196,0.0000028940553,0.00019056536],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019590913,0.00014130802,0.0001628772,0.000029366258,0.00049313693,0.0004452425,0.00007254963,0.00008240574,0.00013978782],"category_scores_gemma":[0.000008236274,0.00012487556,0.000025333175,0.000023321862,0.00029003742,0.00056570314,0.00003701713,0.00010670552,0.0000033399651],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027599954,0.000022371732,0.98234534,0.000007777538,0.0000109552775,0.000012703764,0.010836368,0.0000030722858,0.000007130189,0.0007718604,0.000143158,0.0058116764],"study_design_scores_gemma":[0.00027992096,0.000028685574,0.8457227,0.00005248047,0.000022081093,0.0000013965832,0.009316523,0.000036213165,0.000010737768,0.00088235846,0.14344266,0.0002042604],"about_ca_topic_score_codex":0.00048088384,"about_ca_topic_score_gemma":0.0004204345,"teacher_disagreement_score":0.14329949,"about_ca_system_score_codex":0.000019800395,"about_ca_system_score_gemma":0.000007957335,"threshold_uncertainty_score":0.50922775},"labels":[],"label_agreement":null},{"id":"W2026784097","doi":"10.3141/2323-08","title":"Modeling the Effect of Land Use on Activity Spaces","year":2012,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Concordia University","funders":"","keywords":"Land use; TRIPS architecture; Mode choice; Travel behavior; Public transport; Mode (computer interface); Population; Regression analysis; Transport engineering; Geography; Business; Econometrics; Environmental resource management; Economics; Computer science; Statistics; Engineering; Mathematics; Civil engineering","score_opus":0.1413139873517568,"score_gpt":0.43553603837121335,"score_spread":0.29422205101945653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026784097","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947186,0.00019770936,0.00044290768,0.0026591776,0.00056546094,0.0010751236,0.00004224917,0.000019551966,0.00027922457],"genre_scores_gemma":[0.9985832,0.00040688185,0.000116745345,0.000017540147,0.0003744782,0.000036904632,0.00000470272,0.000030093219,0.00042943386],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98957396,0.0036569443,0.0008910544,0.00027204672,0.004581142,0.0010248332],"domain_scores_gemma":[0.9936992,0.0033093314,0.00038037758,0.0004891247,0.001715166,0.000406829],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.014109005,0.00021618756,0.00045949375,0.0005003073,0.0013329064,0.00017014408,0.0011786283,0.0002023603,0.00022157995],"category_scores_gemma":[0.0005707046,0.00012350125,0.0004860557,0.0017949903,0.0012152505,0.0015249246,0.0000053566077,0.002127084,0.000010164427],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021728019,0.00019909618,0.9827603,0.00012217392,0.00009184777,0.000008066201,0.0075622294,0.0019182145,0.00062521687,0.0010185331,0.00041318283,0.0031083461],"study_design_scores_gemma":[0.00091364415,0.00058940117,0.9896641,0.0002327669,0.000076353404,4.465948e-8,0.0015914807,0.00018800463,0.0026572968,0.0004747756,0.0034742798,0.00013790092],"about_ca_topic_score_codex":0.069862284,"about_ca_topic_score_gemma":0.11937918,"teacher_disagreement_score":0.049516894,"about_ca_system_score_codex":0.0001935681,"about_ca_system_score_gemma":0.0004404348,"threshold_uncertainty_score":0.9999672},"labels":[],"label_agreement":null},{"id":"W2026915589","doi":"10.1016/j.ypmed.2012.04.002","title":"Time spent traveling in motor vehicles and its association with overweight and abdominal obesity in Colombian adults who do not own a car","year":2012,"lang":"en","type":"article","venue":"Preventive Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Baker Heart and Diabetes Institute","keywords":"Medicine; Overweight; Obesity; Association (psychology); Abdominal obesity; Abdominal fat; Environmental health; Motor activity; Gerontology; Physical therapy; Demography; Internal medicine; Metabolic syndrome","score_opus":0.011075216675789801,"score_gpt":0.26514494247065723,"score_spread":0.2540697257948674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026915589","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971427,0.0010659641,0.0000054606976,0.00059182587,0.00005306603,0.0005031068,0.000008779725,0.000009454741,0.00061964797],"genre_scores_gemma":[0.9989513,0.00011830465,0.000031681815,0.00004339728,0.00016545992,0.000012784125,0.0000043323435,0.000004993722,0.00066775666],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987578,0.0001896571,0.00022033762,0.00021330376,0.00033145523,0.0002874402],"domain_scores_gemma":[0.9994863,0.00015826403,0.00012452134,0.000050793256,0.00005523773,0.00012484711],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017412247,0.00010168734,0.00027026588,0.00006106426,0.00010050441,0.000013438018,0.00006605092,0.000079229554,0.000117607735],"category_scores_gemma":[0.00017945516,0.0000791789,0.000015643298,0.00019101053,0.0001461859,0.00033498474,0.000015291542,0.00015308711,0.000002420095],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016500604,0.000114196504,0.9645515,0.000036790007,0.000010687619,0.0000044229637,0.033071022,8.684489e-8,0.00048344128,0.000056942416,0.000014688132,0.0014912148],"study_design_scores_gemma":[0.0014904848,0.00009598072,0.99482757,0.00038929158,0.000033985158,2.1251535e-7,0.0024112647,0.00008123866,0.00032464694,0.000118096126,0.00013002021,0.000097226046],"about_ca_topic_score_codex":0.002296422,"about_ca_topic_score_gemma":0.006967351,"teacher_disagreement_score":0.030659758,"about_ca_system_score_codex":0.00018727209,"about_ca_system_score_gemma":0.00004064115,"threshold_uncertainty_score":0.3887945},"labels":[],"label_agreement":null},{"id":"W2027131109","doi":"10.1016/j.tra.2008.01.002","title":"Long- and short-term dynamics in activity scheduling: A structural equations approach","year":2008,"lang":"en","type":"article","venue":"Transportation Research Part A Policy and Practice","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":43,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"TRIPS architecture; Travel behavior; Structural equation modeling; Term (time); Econometrics; Scheduling (production processes); Similarity (geometry); Dynamics (music); Computer science; Multilevel model; Psychology; Mathematics; Transport engineering; Economics; Operations management; Engineering; Machine learning; Artificial intelligence","score_opus":0.20259261565794728,"score_gpt":0.4757389788715135,"score_spread":0.2731463632135662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027131109","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9862598,0.00014331152,0.0014615947,0.0040011504,0.000024577312,0.00047679956,0.000040798175,0.00003475591,0.0075571844],"genre_scores_gemma":[0.9980395,0.00062750047,0.00066911645,0.00005401719,0.00014930853,0.000046524594,0.000069468544,0.000008874354,0.00033569935],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99773407,0.00063887046,0.00023871215,0.00034649106,0.0005990243,0.00044284845],"domain_scores_gemma":[0.9978909,0.0014857098,0.000057633446,0.00014082438,0.00020061054,0.00022431032],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021273063,0.00010879201,0.00015935404,0.00023336319,0.0010290683,0.00009553783,0.00012602894,0.00013214062,0.000030382393],"category_scores_gemma":[0.0010854114,0.000110020075,0.000029941875,0.00083912414,0.000886815,0.0015215909,0.0000063297452,0.00052539917,0.0000017597013],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035204025,0.00019994244,0.90842015,0.00008038581,0.000019654775,0.00004674277,0.02959355,0.000052894582,0.000038812523,0.057475347,0.000011844104,0.003708637],"study_design_scores_gemma":[0.00037808728,0.00004013206,0.99109375,0.00001546629,0.000017023023,0.0000025735983,0.0039492105,0.0022225892,0.000011571792,0.0011932662,0.00091987295,0.00015646123],"about_ca_topic_score_codex":0.024606973,"about_ca_topic_score_gemma":0.062516406,"teacher_disagreement_score":0.082673594,"about_ca_system_score_codex":0.00013143127,"about_ca_system_score_gemma":0.000538602,"threshold_uncertainty_score":0.98188823},"labels":[],"label_agreement":null},{"id":"W2027367866","doi":"10.1016/j.jtrangeo.2008.07.008","title":"My car, my friends, and me: a preliminary analysis of automobility and social activity participation","year":2008,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":131,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Descriptive statistics; Duration (music); Context (archaeology); Travel behavior; Variety (cybernetics); Population; Multivariate statistics; Regression analysis; Conceptual framework; Demographic economics; Psychology; Sociology; Social psychology; Geography; Transport engineering; Demography; Engineering; Statistics; Economics; Social science; Mathematics","score_opus":0.0219578237958522,"score_gpt":0.2981982949545421,"score_spread":0.2762404711586899,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027367866","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99851334,0.0004282658,0.00028376657,0.00031070152,0.000074156924,0.00012589805,0.000045441207,0.000015607447,0.00020282302],"genre_scores_gemma":[0.999454,0.0002685788,0.00016625944,0.000018403714,0.00006861844,0.0000032015503,0.000006737768,0.000005231017,0.000008973147],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983386,0.00013501421,0.0005868951,0.00021488611,0.00048965483,0.00023499766],"domain_scores_gemma":[0.9988924,0.000085222375,0.00050231785,0.000111577385,0.00024991628,0.00015854396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011030327,0.00013105477,0.00055904355,0.00041922843,0.00043210085,0.000013142169,0.00014478907,0.00013527267,0.0000669675],"category_scores_gemma":[0.0000135332475,0.00011719286,0.00047826665,0.0010490005,0.0009836471,0.0005649066,0.0000062158147,0.00021274824,5.574017e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030968816,0.00031775577,0.98028964,0.000039321316,0.00058878656,0.0000150364385,0.016932236,0.000012400893,0.00013795849,0.00002777543,0.000008773884,0.0013206147],"study_design_scores_gemma":[0.00046714194,0.00014870198,0.996086,0.000009869885,0.0019209015,0.0000011082531,0.000676155,0.000030795305,0.00013721759,0.00017094915,0.000239353,0.00011178822],"about_ca_topic_score_codex":0.0014782861,"about_ca_topic_score_gemma":0.0018201624,"teacher_disagreement_score":0.016256081,"about_ca_system_score_codex":0.000018244727,"about_ca_system_score_gemma":0.00013827434,"threshold_uncertainty_score":0.47789863},"labels":[],"label_agreement":null},{"id":"W2027451692","doi":"10.1007/s11116-007-9136-6","title":"Urban form, travel time, and cost relationships with tour complexity and mode choice","year":2007,"lang":"en","type":"article","venue":"Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":456,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Mode choice; Travel behavior; Mode (computer interface); Modal; Chaining; Travel time; Work (physics); Transport engineering; Land use; Travel survey; Geography; Discrete choice; Journey to work; Computer science; Econometrics; Public transport; Economics; Engineering; Psychology; Civil engineering","score_opus":0.05177138803334427,"score_gpt":0.31003335055800246,"score_spread":0.25826196252465816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027451692","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98840207,0.00005361194,0.004870102,0.00020282713,0.000020910837,0.00035933123,0.000047656933,0.000058329424,0.005985149],"genre_scores_gemma":[0.99793345,0.0000071515315,0.0010514205,0.00003974865,0.00006059907,0.000005261252,0.00014745202,0.00000828629,0.00074663537],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991297,0.00002925132,0.00020556766,0.00020984374,0.00021772693,0.0002079188],"domain_scores_gemma":[0.9995301,0.000118972086,0.00007075408,0.00007646348,0.000064017164,0.00013972698],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053361617,0.000094361974,0.00012250738,0.00004578227,0.0004969119,0.00003557459,0.00005681262,0.00008427924,0.00008114474],"category_scores_gemma":[0.000012997555,0.0000862719,0.00001904761,0.00018724629,0.00032139974,0.00047788094,6.258383e-7,0.00013792793,0.0000034499756],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000638105,0.00003352982,0.9803174,0.000016429307,0.0000075368066,0.0000025595982,0.013628805,0.0000034285206,0.00009938117,0.0048654154,0.000072256335,0.0008894139],"study_design_scores_gemma":[0.00043360304,0.00002275072,0.9959906,0.000014163048,0.000039606144,1.603827e-7,0.00092378247,0.00008321774,0.00007492854,0.0013616631,0.0009326026,0.00012293429],"about_ca_topic_score_codex":0.0047339946,"about_ca_topic_score_gemma":0.24645777,"teacher_disagreement_score":0.24172378,"about_ca_system_score_codex":0.000024715,"about_ca_system_score_gemma":0.00004287624,"threshold_uncertainty_score":0.76729244},"labels":[],"label_agreement":null},{"id":"W2027468979","doi":"10.1080/13658816.2011.624987","title":"A three-step floating catchment area method for analyzing spatial access to health services","year":2012,"lang":"en","type":"article","venue":"International Journal of Geographical Information Systems","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":463,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute on Minority Health and Health Disparities; University of Saskatchewan","keywords":"Catchment area; Health care; Spatial analysis; Resource (disambiguation); Economic shortage; Computer science; Resource allocation; Work (physics); Geographic information system; Business; Environmental economics; Environmental resource management; Geography; Drainage basin; Cartography; Environmental science; Economics; Engineering; Remote sensing","score_opus":0.038285319580791524,"score_gpt":0.3861678405410255,"score_spread":0.347882520960234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027468979","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09260677,0.00023148132,0.8995699,0.0033542067,0.0031346478,0.00058161357,0.000057645095,0.00002881478,0.00043489874],"genre_scores_gemma":[0.99070585,0.000020348001,0.007010028,0.000831464,0.0013719163,0.000018921419,0.000031640222,0.0000051205693,0.0000047267654],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99716425,0.000106890446,0.0012356138,0.00008356468,0.0010726821,0.00033702367],"domain_scores_gemma":[0.9968752,0.00019785283,0.0011453156,0.00009257126,0.0013097265,0.00037933525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040588453,0.000117578194,0.00028887388,0.0005188145,0.00028508424,0.0006155094,0.0007553231,0.00008405477,0.000029946787],"category_scores_gemma":[0.000096335636,0.00009883928,0.00021982333,0.00037034892,0.00003579978,0.0036025238,0.00004831572,0.00015639383,0.0000048332554],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016922056,0.000104234365,0.9270601,0.00013424881,0.00022739351,5.233125e-7,0.013019027,0.00085788756,0.000009979232,0.0033719712,0.00064904767,0.05439634],"study_design_scores_gemma":[0.0023686106,0.0003179916,0.63454264,0.0012922909,0.000113336275,0.000021056589,0.015952906,0.0150485225,0.00009115143,0.0008912328,0.32872897,0.00063127035],"about_ca_topic_score_codex":0.017468164,"about_ca_topic_score_gemma":0.0035007666,"teacher_disagreement_score":0.89809906,"about_ca_system_score_codex":0.00019914712,"about_ca_system_score_gemma":0.00016878598,"threshold_uncertainty_score":0.9890746},"labels":[],"label_agreement":null},{"id":"W2027480983","doi":"10.1136/jech-2013-202386.3","title":"CITY'S PLANNING ERAS: DESIGNING NEIGHBOURHOODS TO PROMOTE PHYSICAL ACTIVITY IN CHILDREN IN SASKATOON","year":2013,"lang":"en","type":"article","venue":"Journal of Epidemiology & Community Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Neighbourhood (mathematics); Walkability; Built environment; Pedestrian; Destinations; Geography; Urban design; Poison control; Level design; Urban planning; Environmental health; Medicine; Computer science; Engineering; Civil engineering","score_opus":0.10862627536263639,"score_gpt":0.4327295873157543,"score_spread":0.3241033119531179,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027480983","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9855402,0.00020091067,0.0010188838,0.012005257,0.000100651014,0.0005170752,0.0000020980858,0.00001734658,0.0005975885],"genre_scores_gemma":[0.9947288,0.00003731693,0.0031370837,0.0018542958,0.0002085537,0.0000087951075,0.0000021747408,0.000009565485,0.000013393069],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9896928,0.008240688,0.0009049947,0.00019416543,0.00019605472,0.00077128195],"domain_scores_gemma":[0.9957115,0.002624914,0.0007547842,0.00034994443,0.00011256504,0.00044629598],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.018571924,0.00016552181,0.0009912279,0.0002966545,0.0005445524,0.00002608146,0.00071406015,0.00017173687,0.000039518636],"category_scores_gemma":[0.003116201,0.00014602591,0.00013287932,0.00053862523,0.00023551976,0.0007374783,0.0000758286,0.0026283124,0.000005182372],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045771576,0.0005634531,0.9704297,0.000015273165,0.000013457935,0.0000016786814,0.01460714,0.00019335806,0.000060719653,0.00010430747,0.00025684378,0.0137082925],"study_design_scores_gemma":[0.00038575867,0.0003625271,0.98905635,0.00023908027,0.0000044747508,0.0000021404076,0.0012227944,0.00007771057,0.000016837526,0.0084048705,0.00011503794,0.000112428905],"about_ca_topic_score_codex":0.13457523,"about_ca_topic_score_gemma":0.040768594,"teacher_disagreement_score":0.09380665,"about_ca_system_score_codex":0.0006309334,"about_ca_system_score_gemma":0.00075661985,"threshold_uncertainty_score":0.99967265},"labels":[],"label_agreement":null},{"id":"W2027626869","doi":"10.1016/j.sbspro.2013.11.190","title":"Strategies to Reduce Energy Use for Commuting by Employees","year":2013,"lang":"en","type":"article","venue":"Procedia - Social and Behavioral Sciences","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Business; Energy (signal processing); Environmental economics; Environmental science; Economics; Mathematics; Statistics","score_opus":0.12499365428106624,"score_gpt":0.39833638907278346,"score_spread":0.2733427347917172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027626869","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99577296,0.00010185362,0.000110361114,0.00239594,0.00015422195,0.0003583447,0.000024941766,0.00008665979,0.0009947148],"genre_scores_gemma":[0.9981017,0.000018513587,0.000802284,0.00017210304,0.00024624978,0.00015334459,0.0000071071936,0.0000059572917,0.00049275043],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99862283,0.000039179748,0.0001922831,0.00033825258,0.00032879313,0.0004786742],"domain_scores_gemma":[0.9994942,0.000075625634,0.00007027174,0.000045358436,0.0001416522,0.00017289618],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00037092672,0.00012224761,0.00015981203,0.00003214895,0.002329569,0.0009869138,0.0003366145,0.000093229086,0.00007556582],"category_scores_gemma":[0.000037215505,0.000101168414,0.000053010222,0.00038724524,0.00097438105,0.0016310919,0.00003976379,0.00006179095,0.000002808767],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002336648,0.00042633835,0.8157436,0.000030911935,0.000007634511,6.328305e-7,0.040386315,5.762917e-7,0.00897998,0.02230579,0.020623893,0.09147092],"study_design_scores_gemma":[0.0008931062,0.001164189,0.6355157,0.00007079664,0.00014899278,5.233866e-7,0.16286846,0.00003691454,0.0048920987,0.06240034,0.13010043,0.0019084832],"about_ca_topic_score_codex":0.035418242,"about_ca_topic_score_gemma":0.010097403,"teacher_disagreement_score":0.18022797,"about_ca_system_score_codex":0.000028812963,"about_ca_system_score_gemma":0.00018830046,"threshold_uncertainty_score":0.99896926},"labels":[],"label_agreement":null},{"id":"W2027707531","doi":"10.1016/j.healthplace.2009.11.004","title":"Neighborhood land use diversity and physical activity in adjacent parks","year":2009,"lang":"en","type":"article","venue":"Health & Place","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":49,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Cancer Institute","keywords":"National park; Geography; Diversity (politics); Archaeology; Political science","score_opus":0.0413039451352652,"score_gpt":0.3289957034498647,"score_spread":0.2876917583145995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027707531","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99303055,0.00009073429,0.000038348506,0.0059047174,0.000054536264,0.00021135746,0.0000081098015,0.000035861085,0.00062576233],"genre_scores_gemma":[0.9990506,0.00010608839,0.000026024012,0.0006192987,0.00007976149,0.0000010240085,0.0000018261586,0.0000018236873,0.000113522336],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990662,0.00014851807,0.00007470536,0.00021343534,0.00019534174,0.00030179904],"domain_scores_gemma":[0.99954087,0.000108793494,0.00005054502,0.00009443977,0.000014975372,0.0001903695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040103003,0.00007011656,0.00016104203,0.000023296721,0.0006771461,0.00002798327,0.00008479274,0.000050212435,0.000012830549],"category_scores_gemma":[0.00003630386,0.00006641058,0.000023633804,0.00015270563,0.00007369331,0.00036429847,0.000036453013,0.0001700623,0.0000023081036],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059331564,0.00023600865,0.9795381,0.000011111237,0.0000011324267,0.000004055742,0.01107418,0.0000018689664,0.00000204322,0.00026035224,0.00025507456,0.008556741],"study_design_scores_gemma":[0.0003091607,0.000053364172,0.99733585,0.000011563795,0.000002535816,7.347446e-8,0.00017357328,0.00009463388,0.0000034659008,0.00041951617,0.0015266647,0.000069626185],"about_ca_topic_score_codex":0.017213233,"about_ca_topic_score_gemma":0.020765701,"teacher_disagreement_score":0.017797722,"about_ca_system_score_codex":0.00012819878,"about_ca_system_score_gemma":0.0001303876,"threshold_uncertainty_score":0.9971028},"labels":[],"label_agreement":null},{"id":"W2027764057","doi":"10.1016/j.jsams.2012.11.533","title":"Neighborhood walkability, income and physical activity: Moderating effects of gender","year":2012,"lang":"en","type":"article","venue":"Journal of science and medicine in sport","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Walkability; Physical activity; Psychology; Built environment; Environmental health; Medicine; Ecology; Physical medicine and rehabilitation","score_opus":0.026139360950087353,"score_gpt":0.3495467691920112,"score_spread":0.3234074082419239,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027764057","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972638,0.00036369686,0.000043067565,0.00042083804,0.00023989099,0.000090515896,1.323192e-7,0.000002577296,0.001575474],"genre_scores_gemma":[0.99942815,0.000065347595,0.00006855001,0.000041977484,0.00038417306,6.0736716e-7,3.0637597e-8,0.0000020043833,0.000009151898],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986276,0.000024070816,0.00023565168,0.000109559274,0.00076472637,0.00023837053],"domain_scores_gemma":[0.99917513,0.00013267052,0.0002131861,0.000069150155,0.00017559338,0.00023424058],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037355185,0.00006613444,0.00029778338,0.00014641068,0.0001621426,0.000011790189,0.00014242389,0.000032663425,0.0000059710064],"category_scores_gemma":[0.00043716267,0.000043953994,0.000023313383,0.00046213294,0.0021963874,0.0011678212,0.000026323007,0.0001720298,6.296985e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013578605,0.00012454366,0.9713743,0.000052357784,0.0000023919365,0.000004924138,0.018390382,3.9975265e-7,0.0034968716,0.000578179,0.0000034764105,0.0059586195],"study_design_scores_gemma":[0.0003446053,0.00009184402,0.99427104,0.000087832894,0.000021082818,0.000004887162,0.002320057,0.00004937912,0.0008723783,0.0018617626,0.000027692391,0.000047411308],"about_ca_topic_score_codex":0.00037955615,"about_ca_topic_score_gemma":0.000041875235,"teacher_disagreement_score":0.02289679,"about_ca_system_score_codex":0.0000391252,"about_ca_system_score_gemma":0.00026145918,"threshold_uncertainty_score":0.8092681},"labels":[],"label_agreement":null},{"id":"W2027804979","doi":"10.1016/j.tra.2008.11.013","title":"Examination of relationships between urban form, household activities, and time allocation in the Atlanta Metropolitan Region","year":2009,"lang":"en","type":"article","venue":"Transportation Research Part A Policy and Practice","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":55,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Georgia Department of Transportation","keywords":"Atlanta; Metropolitan area; Tobit model; Geography; Travel behavior; Residence; Time allocation; Endogeneity; Demographics; Travel survey; Transport engineering; Mode choice; Business; Demographic economics; Demography; Econometrics; Economics; Public transport; Engineering","score_opus":0.20617767489884894,"score_gpt":0.4295228162407069,"score_spread":0.22334514134185793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027804979","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96640867,0.00017519477,0.00010861084,0.013532003,0.0000070034052,0.00052989,0.000027785989,0.000022854143,0.019188002],"genre_scores_gemma":[0.9987129,0.00045551933,0.00007829696,0.000093498544,0.00017109887,0.000018426703,0.000084067775,0.0000050849926,0.00038109705],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99670815,0.0018944098,0.00031123005,0.00020551683,0.0006094731,0.0002712413],"domain_scores_gemma":[0.9960479,0.0034392823,0.00014276631,0.00015228248,0.0001302853,0.00008746921],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007222652,0.00008148652,0.00013500731,0.00028063494,0.0005572361,0.00007745204,0.00014008727,0.000120213335,0.0000071453624],"category_scores_gemma":[0.0011716915,0.00006982065,0.000023507326,0.0009238224,0.00037364822,0.0014798144,0.0000020166497,0.00039607147,9.659054e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035290953,0.00034552065,0.407382,0.00009572641,0.000031682634,0.000011778515,0.17260611,0.0000040817695,0.0002021981,0.40848,0.00111337,0.009374629],"study_design_scores_gemma":[0.0002542635,0.00010775883,0.96452826,0.000029025188,0.00003063998,4.641343e-7,0.016713185,0.000010180058,0.00004443138,0.006046007,0.012158341,0.000077414705],"about_ca_topic_score_codex":0.010818322,"about_ca_topic_score_gemma":0.004032584,"teacher_disagreement_score":0.55714625,"about_ca_system_score_codex":0.00009513241,"about_ca_system_score_gemma":0.00018529898,"threshold_uncertainty_score":0.9957687},"labels":[],"label_agreement":null},{"id":"W2028270656","doi":"10.3141/1883-17","title":"Freeway Users' Perceptions of Quality of Service: Comparison of Three Groups","year":2004,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; McMaster University","keywords":"Transport engineering; Truck; Service quality; Level of service; Quality (philosophy); Service (business); Proxy (statistics); Highway Capacity Manual; Engineering; Business; Marketing; Mathematics; Statistics","score_opus":0.19377846164492948,"score_gpt":0.4781145278971047,"score_spread":0.2843360662521752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028270656","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9915171,0.00021894602,0.0027688064,0.0037446062,0.00028983082,0.0009526159,0.00019661032,0.000016479502,0.00029497308],"genre_scores_gemma":[0.99754196,0.00029176596,0.0018641668,0.000017726248,0.000114012044,0.000020178035,0.000023175058,0.000028403989,0.00009861672],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9887152,0.0014770131,0.0030072052,0.00035996694,0.0057078297,0.00073278684],"domain_scores_gemma":[0.9884901,0.0011465045,0.0014355375,0.00060902484,0.007954947,0.0003638864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009102787,0.00021683457,0.0009221842,0.00083277596,0.0006460741,0.000048972743,0.0017938867,0.00029137603,0.00056305627],"category_scores_gemma":[0.000328569,0.00017493004,0.0006747556,0.0035447944,0.0023320832,0.0010646455,0.000008241192,0.0016183843,0.0000042574957],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011269528,0.00093663315,0.9428524,0.00066190975,0.00013350212,0.0000046086047,0.026375499,0.0012220079,0.011248634,0.014318472,0.00012814748,0.0009912709],"study_design_scores_gemma":[0.0016206828,0.0004262179,0.95514554,0.00044255337,0.00007142299,2.2279592e-8,0.02103103,0.000008858671,0.0045733675,0.016281424,0.00025639578,0.00014246858],"about_ca_topic_score_codex":0.17000763,"about_ca_topic_score_gemma":0.71173,"teacher_disagreement_score":0.54172236,"about_ca_system_score_codex":0.00024066403,"about_ca_system_score_gemma":0.0018154186,"threshold_uncertainty_score":0.85926574},"labels":[],"label_agreement":null},{"id":"W2029138680","doi":"10.1007/s11205-012-0067-z","title":"Perceptions of Quality Life in Hamilton’s Neighbourhood Hubs: A Qualitative Analysis","year":2012,"lang":"en","type":"article","venue":"Social Indicators Research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Neighbourhood (mathematics); Focus group; Recreation; Sociology; Poverty; Qualitative research; Context (archaeology); Public relations; Social policy; Economic growth; Political science; Social science; Geography; Economics","score_opus":0.19117243100738596,"score_gpt":0.5555456052919812,"score_spread":0.3643731742845952,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029138680","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9735499,0.00019022652,0.000072021925,0.0010275469,0.000058194368,0.00030412705,0.00006785513,0.000029432906,0.024700675],"genre_scores_gemma":[0.9990668,0.00004178504,0.00006398026,0.000038227554,0.00032853545,0.00005621707,0.000026497004,0.000009787277,0.00036811834],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99212986,0.004424538,0.0006193603,0.00029336882,0.0016136441,0.00091925246],"domain_scores_gemma":[0.9981366,0.0008041902,0.0001823316,0.00022366844,0.00026831683,0.00038491527],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.016043205,0.00010986885,0.0004677406,0.0011913081,0.0009799084,0.000047510628,0.0005292607,0.00027322915,0.0023074846],"category_scores_gemma":[0.0011791516,0.00011001304,0.00030385572,0.00752777,0.0019803164,0.00045514616,0.000052433723,0.0006430035,0.00004482043],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016548565,0.00034390797,0.62200993,0.000014355022,0.00009033872,2.0626136e-7,0.36495867,1.6423841e-7,0.000027406584,0.012027021,0.00007947658,0.00043195076],"study_design_scores_gemma":[0.00014048767,0.000011529333,0.76687676,0.000003775346,0.00003556759,2.3089601e-9,0.23073526,7.9666466e-7,0.000019647181,0.0017706756,0.0003077663,0.00009771853],"about_ca_topic_score_codex":0.04382855,"about_ca_topic_score_gemma":0.028135005,"teacher_disagreement_score":0.14486682,"about_ca_system_score_codex":0.00037435087,"about_ca_system_score_gemma":0.00067222957,"threshold_uncertainty_score":0.99860454},"labels":[],"label_agreement":null},{"id":"W2029428451","doi":"10.14257/ijt.2013.1.1.03","title":"Public Bikesharing and Modal Shift Behavior: A Comparative Study of Early Bikesharing Systems in North America","year":2013,"lang":"en","type":"article","venue":"International Journal of Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":162,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Modal; Public transport; Engineering; Transport engineering; Materials science","score_opus":0.06927189455183004,"score_gpt":0.3334874110467071,"score_spread":0.26421551649487707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029428451","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987852,0.00008893564,0.00020141272,0.0001115768,0.00029757072,0.00034933214,0.000021461068,0.000008125743,0.00013637947],"genre_scores_gemma":[0.9997676,0.00001671491,0.00007832303,0.0000065180175,0.000082649276,0.000019983234,0.000014666715,0.0000051190204,0.000008432004],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99827623,0.00007033057,0.0007158805,0.00013385546,0.00067317573,0.00013054674],"domain_scores_gemma":[0.998734,0.00005620783,0.0005135017,0.000055090797,0.0005543241,0.000086905784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026557772,0.000088492125,0.00024201753,0.0003059362,0.000060926803,0.00013187215,0.0003229049,0.000038802064,0.000053917538],"category_scores_gemma":[0.000012780425,0.0000827697,0.00005561723,0.0002547572,0.000094764204,0.0013492766,0.0000041622784,0.00017149579,0.0000013550077],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040780866,0.00041329843,0.9484217,0.0000065599875,0.00005039638,0.000020639864,0.04952284,0.00025428348,0.00007251434,0.00013364364,0.0000022505606,0.001061063],"study_design_scores_gemma":[0.00068551477,0.00013230735,0.98707545,0.000037041213,0.00002807613,4.3792227e-7,0.011751811,0.000086970795,0.000008455763,0.00008639632,0.000033942488,0.00007360012],"about_ca_topic_score_codex":0.022283493,"about_ca_topic_score_gemma":0.042371944,"teacher_disagreement_score":0.038653716,"about_ca_system_score_codex":0.00006987072,"about_ca_system_score_gemma":0.00008547772,"threshold_uncertainty_score":0.9842272},"labels":[],"label_agreement":null},{"id":"W2029550617","doi":"10.1016/j.healthplace.2012.04.014","title":"The relationship between cluster-analysis derived walkability and local recreational and transportation walking among Canadian adults","year":2012,"lang":"en","type":"article","venue":"Health & Place","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":77,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Alberta Health Services; University of Calgary","funders":"Canadian Institutes of Health Research","keywords":"Walkability; Pedestrian; Recreation; Geography; Cluster (spacecraft); Transport engineering; Poison control; Level design; Human factors and ergonomics; Demography; Environmental health; Physical activity; Gerontology; Medicine; Computer science; Physical medicine and rehabilitation; Engineering; Sociology; Ecology","score_opus":0.033665573179435526,"score_gpt":0.31934528664327844,"score_spread":0.2856797134638429,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029550617","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99257165,0.0008372343,0.0008389695,0.005048133,0.000060847156,0.00034733274,0.00004220413,0.000023960438,0.00022966319],"genre_scores_gemma":[0.99931026,0.00005438611,0.00015754352,0.0001446698,0.00010950404,0.0000150367105,0.000113065274,0.0000046599366,0.00009086887],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985003,0.00034208287,0.00031021997,0.00020542055,0.00022988977,0.00041211967],"domain_scores_gemma":[0.99789286,0.0012486605,0.00011936417,0.000116975505,0.00005599155,0.0005661419],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002461463,0.00008382568,0.00016122729,0.00006816808,0.0019004071,0.000054345386,0.00007536917,0.000099066194,0.000026835152],"category_scores_gemma":[0.00020299212,0.00007007583,0.000041414325,0.00037804208,0.00037505093,0.00038583114,0.0000028381621,0.00016442398,0.0000013247411],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015650134,0.0000062116837,0.9799927,0.000021621147,0.000019071551,1.00052354e-7,0.014593425,0.0000043647206,2.8239558e-8,0.00060083176,0.000035409605,0.0047105784],"study_design_scores_gemma":[0.0001337719,0.000008229648,0.99547404,0.000017265478,0.00007868744,3.5188645e-8,0.002685686,0.00009576453,4.2881138e-7,0.00036991527,0.0010626585,0.000073488605],"about_ca_topic_score_codex":0.54908806,"about_ca_topic_score_gemma":0.9760514,"teacher_disagreement_score":0.42696336,"about_ca_system_score_codex":0.0002572879,"about_ca_system_score_gemma":0.00041079713,"threshold_uncertainty_score":0.999399},"labels":[],"label_agreement":null},{"id":"W2029601552","doi":"10.2337/dc12-0777","title":"Unwalkable Neighborhoods, Poverty, and the Risk of Diabetes Among Recent Immigrants to Canada Compared With Long-Term Residents","year":2012,"lang":"en","type":"article","venue":"Diabetes Care","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":136,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; Public Health Ontario; University of Toronto; St. Michael's Hospital","funders":"Canadian Institutes of Health Research; Ontario Ministry of Health and Long-Term Care; Institute for Clinical Evaluative Sciences; Canadian Diabetes Association","keywords":"Walkability; Medicine; Demography; Incidence (geometry); Gerontology; Poverty; Immigration; Diabetes mellitus; Population; Environmental health; Geography; Physical activity","score_opus":0.008287998838864432,"score_gpt":0.23211868225113777,"score_spread":0.22383068341227333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029601552","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.994467,0.003000698,9.06642e-7,0.0003076827,0.00021226588,0.00050783576,0.00017898747,0.000021725937,0.0013028807],"genre_scores_gemma":[0.9993316,0.00008577796,0.000017592894,0.00034720625,0.00009267171,0.000028021881,0.000034147626,0.000013455049,0.000049512593],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982349,0.00020869152,0.00023710285,0.00022697107,0.00050555734,0.0005867321],"domain_scores_gemma":[0.99888706,0.00021084075,0.00015567149,0.0002941495,0.00018355888,0.00026873391],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043460308,0.00015955382,0.00033331694,0.000032663724,0.0004049424,0.00006121449,0.00033387792,0.00005643672,0.00006579027],"category_scores_gemma":[0.00010505649,0.00010266141,0.000048375427,0.00033126774,0.00034011176,0.00023354856,0.000051076357,0.00012565312,0.0000020935145],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023663588,0.000022365368,0.9898767,0.00005538932,0.000062225576,4.5523996e-7,0.0077578863,0.0000034189027,0.000007919027,0.000012880785,0.00046553288,0.0017115911],"study_design_scores_gemma":[0.000587428,0.000018258052,0.9943147,0.000087085784,0.0001126291,6.2010175e-9,0.003558357,0.000002981052,0.00084116735,0.000032258245,0.00028725393,0.00015788504],"about_ca_topic_score_codex":0.5047399,"about_ca_topic_score_gemma":0.93404156,"teacher_disagreement_score":0.42930165,"about_ca_system_score_codex":0.00011000467,"about_ca_system_score_gemma":0.00019807542,"threshold_uncertainty_score":0.4985581},"labels":[],"label_agreement":null},{"id":"W2029618366","doi":"10.3390/ijerph8083333","title":"Street Connectivity is Negatively Associated with Physical Activity in Canadian Youth","year":2011,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":82,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Kingston General Hospital; Queen's University","funders":"Ontario Ministry of Research and Innovation; Canadian Institutes of Health Research; Public Health Agency; Public Health Agency of Canada; World Health Organization; Heart and Stroke Foundation of Canada","keywords":"Quartile; Physical activity; Confidence interval; Demography; Geography; Injury prevention; Suicide prevention; Poison control; Human factors and ergonomics; Occupational safety and health; Level design; Psychology; Environmental health; Medicine; Sociology; Physical therapy","score_opus":0.14555268139931196,"score_gpt":0.3904008286366436,"score_spread":0.24484814723733164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029618366","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.993538,0.000033556633,0.000013274692,0.0037621188,0.000048762933,0.000114376424,0.00015534705,0.0000023589903,0.0023321814],"genre_scores_gemma":[0.9996252,0.00010477104,0.000013330629,0.00012274075,0.00008373276,0.0000015119404,0.000005087218,0.0000045536353,0.000039054827],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99784696,0.0004166025,0.0001517381,0.00014117673,0.0009554904,0.00048801312],"domain_scores_gemma":[0.99880356,0.00016084392,0.00013682077,0.0000509524,0.00009708327,0.0007507231],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026983048,0.00006470164,0.00014306136,0.0002593622,0.00021462647,0.000065067994,0.00028982008,0.00004417228,0.00021520664],"category_scores_gemma":[0.00023537788,0.00005341833,0.000030015777,0.00016891115,0.00053952035,0.00066297356,0.000024615389,0.0004365129,0.000001595333],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000073648494,0.0009589729,0.9602908,0.0000014125069,0.000039177576,0.000029774656,0.0258881,7.4255745e-8,0.0000076210745,0.00041422626,0.000019993002,0.012276223],"study_design_scores_gemma":[0.0004328992,0.00030242864,0.98880917,0.000023954306,0.0000010607364,5.4215e-7,0.008652047,0.000008612046,0.000029243067,0.0012481514,0.00044126323,0.000050649065],"about_ca_topic_score_codex":0.46956983,"about_ca_topic_score_gemma":0.69446594,"teacher_disagreement_score":0.2248961,"about_ca_system_score_codex":0.0013937175,"about_ca_system_score_gemma":0.0019459197,"threshold_uncertainty_score":0.5339623},"labels":[],"label_agreement":null},{"id":"W2029698320","doi":"10.1186/1471-2458-13-1166","title":"School travel and children’s physical activity: a cross-sectional study examining the influence of distance","year":2013,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University; Dalhousie University; University of Toronto","funders":"Canadian Institutes of Health Research; Heart and Stroke Foundation of Canada","keywords":"Biostatistics; Neighbourhood (mathematics); Cross-sectional study; Socioeconomic status; Physical activity; Medicine; Demography; Epidemiology; Environmental health; Physical therapy; Population; Sociology","score_opus":0.06270338499865966,"score_gpt":0.3655856240919996,"score_spread":0.3028822390933399,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029698320","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997941,0.00002851804,0.00023263373,0.0006245439,0.000040262243,0.00077168155,0.000012738667,0.0000296621,0.00031893907],"genre_scores_gemma":[0.99955004,0.0000042412485,0.00002998919,0.000091102294,0.00014907001,0.000059493646,0.0000014893877,0.0000050270255,0.00010955494],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984326,0.00030246004,0.00021618791,0.000277615,0.00043920806,0.00033194938],"domain_scores_gemma":[0.999082,0.00019713247,0.00016145848,0.0002015924,0.00011349498,0.00024426862],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016002937,0.00008462426,0.00017425058,0.000031585616,0.00066993356,0.0002385295,0.0002595533,0.000037243728,0.000051454812],"category_scores_gemma":[0.00029722476,0.00005999023,0.000030851847,0.00029454762,0.00047834954,0.0008559924,0.000028714167,0.0001968695,0.000005035255],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000042174443,0.00030745257,0.9923598,0.000012434635,0.00000629889,4.4085255e-8,0.004931348,0.0000020140728,0.000007891475,0.0004750763,0.0000118793305,0.001881535],"study_design_scores_gemma":[0.00022292607,0.000060683484,0.9980529,0.0000041008525,0.0000015149957,1.3368243e-7,0.0012978417,0.000024490513,0.0000011388328,0.00023159264,0.00004259097,0.00006007526],"about_ca_topic_score_codex":0.02520749,"about_ca_topic_score_gemma":0.005820786,"teacher_disagreement_score":0.019386703,"about_ca_system_score_codex":0.00009641355,"about_ca_system_score_gemma":0.000985674,"threshold_uncertainty_score":0.9812837},"labels":[],"label_agreement":null},{"id":"W2030492999","doi":"10.1186/1471-2458-14-693","title":"Associations between the built environment, total, recreational, and transit-related physical activity","year":2014,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"York University","funders":"York University","keywords":"Built environment; Walkability; Recreation; Biostatistics; Level design; Environmental health; Physical activity; Active living; Public health; Logistic regression; Multilevel model; Public transport; Medicine; Gerontology; Human factors and ergonomics; Poison control; Transport engineering; Ecology; Statistics; Computer science; Civil engineering; Engineering","score_opus":0.07385814544083401,"score_gpt":0.34626037636069495,"score_spread":0.27240223091986093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030492999","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9594207,0.000047403646,0.0031529234,0.033378575,0.000048623762,0.00029466962,0.0000642778,0.00006419125,0.0035286369],"genre_scores_gemma":[0.99898976,0.00003622439,0.000084345425,0.00014514693,0.00027226025,0.0000116422625,0.00005024975,0.0000064971027,0.00040384676],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99818933,0.000705235,0.00017516853,0.00023612805,0.00035289512,0.000341256],"domain_scores_gemma":[0.9988582,0.0005565957,0.00014057466,0.00017464413,0.000024176077,0.00024579748],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023115992,0.00008373537,0.00019429058,0.00002771988,0.0011253651,0.00010349488,0.00015500245,0.0000776025,0.00007974107],"category_scores_gemma":[0.00020134589,0.0000642545,0.00006126655,0.00020928576,0.00027991732,0.00036269406,0.000013403024,0.00018813869,0.000014592035],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000018653573,0.00019003771,0.94534504,0.000009080137,0.000020930782,3.3534093e-8,0.006125175,0.0000035897717,0.0000055201444,0.009051728,0.00040806952,0.03883894],"study_design_scores_gemma":[0.00015761348,0.000021700069,0.98335624,0.0000029677028,0.000009025842,2.8144413e-8,0.00012275278,0.00012812036,0.0000018358487,0.0022479242,0.013881741,0.00007006751],"about_ca_topic_score_codex":0.0049559004,"about_ca_topic_score_gemma":0.0018574705,"teacher_disagreement_score":0.039569087,"about_ca_system_score_codex":0.00016520736,"about_ca_system_score_gemma":0.00049161183,"threshold_uncertainty_score":0.8655513},"labels":[],"label_agreement":null},{"id":"W2030776194","doi":"10.5194/isprsarchives-xl-4-w1-1-2013","title":"WALKYOURPLACE – EVALUATING NEIGHBOURHOOD ACCESSIBILITY AT STREET LEVEL","year":2013,"lang":"en","type":"article","venue":"˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Walkability; Neighbourhood (mathematics); Pedestrian; Transport engineering; Popularity; Recreation; Computer science; Geography; Business; Built environment; Civil engineering; Engineering; Psychology; Mathematics","score_opus":0.0389905968768596,"score_gpt":0.3098149489759762,"score_spread":0.2708243520991166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030776194","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17139107,0.000038924703,0.79597616,0.0071876543,0.0021076058,0.0012269121,0.00015017878,0.00007283518,0.021848628],"genre_scores_gemma":[0.99555534,0.00010070619,0.002712085,0.0010722859,0.00021471348,8.4876206e-7,0.000043890268,0.0000121371095,0.00028799736],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99347633,0.00061067974,0.0017573436,0.00054776284,0.0028675636,0.00074030244],"domain_scores_gemma":[0.99495184,0.0015414794,0.0020736137,0.00060706533,0.00056504144,0.000260968],"candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":["sts"],"category_scores_codex":[0.0029259454,0.00046327247,0.00049508805,0.000686116,0.0031575589,0.0012514355,0.0025110652,0.00013699861,0.00007265313],"category_scores_gemma":[0.0015207344,0.00029458097,0.00046842542,0.0011419819,0.0053023435,0.0011554717,0.001128889,0.0005202522,0.000008330773],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011996542,0.000028922008,0.005875106,0.000038812716,0.00007475213,1.7554373e-7,0.007922426,0.0007509064,0.0013601705,0.000009556305,0.00006158282,0.9837576],"study_design_scores_gemma":[0.00071369467,0.00010445943,0.05440364,0.00024527614,0.00004918828,0.000017712504,0.0055586603,0.9246625,0.0033997286,0.008853109,0.001656526,0.00033551117],"about_ca_topic_score_codex":0.95292985,"about_ca_topic_score_gemma":0.69858426,"teacher_disagreement_score":0.9834221,"about_ca_system_score_codex":0.00011869857,"about_ca_system_score_gemma":0.00050246186,"threshold_uncertainty_score":0.99995065},"labels":[],"label_agreement":null},{"id":"W2030951804","doi":"10.1016/j.sste.2011.11.001","title":"Assessing spatial accessibility to mental health facilities in an urban environment","year":2011,"lang":"en","type":"article","venue":"Spatial and Spatio-temporal Epidemiology","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":62,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Health Canada","keywords":"Mental health; Catchment area; Economic shortage; Business; Environmental health; Health services; Psychology; Geography; Medicine; Psychiatry; Drainage basin; Government (linguistics); Cartography; Population","score_opus":0.12991351047836444,"score_gpt":0.37640663815489006,"score_spread":0.24649312767652562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030951804","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9879059,0.00023179966,0.0066734436,0.002746788,0.00040649422,0.00076856447,0.00007867161,0.00007697971,0.0011113572],"genre_scores_gemma":[0.99572855,0.000043968725,0.0026675893,0.0008606678,0.00026242083,0.0000497387,0.0001835324,0.000013701353,0.00018981102],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9951607,0.0018289123,0.0010830994,0.00087512,0.00024520134,0.00080695417],"domain_scores_gemma":[0.99853116,0.00019008538,0.00033015775,0.00034312802,0.000036334706,0.0005691392],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00433301,0.0002767806,0.0007560465,0.00014113288,0.00061332894,0.000052932322,0.000345861,0.00023170671,0.0012444041],"category_scores_gemma":[0.00031845484,0.0002539143,0.000088022745,0.00014914146,0.0006891301,0.0009253614,0.000100149045,0.0002797025,0.000017537792],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013199275,0.00019073495,0.95167774,0.000027247428,0.00000598323,0.0000028016113,0.01994972,0.0000037455375,0.000006850481,0.00055164425,0.00008895374,0.027362574],"study_design_scores_gemma":[0.00035160422,0.00032064418,0.98398316,0.000020444828,0.0000041064104,2.3222228e-7,0.0025224371,0.0003309175,0.000018577768,0.0054898127,0.0066788434,0.00027921607],"about_ca_topic_score_codex":0.3774752,"about_ca_topic_score_gemma":0.37123275,"teacher_disagreement_score":0.03230541,"about_ca_system_score_codex":0.00026652025,"about_ca_system_score_gemma":0.00029389435,"threshold_uncertainty_score":0.9999913},"labels":[],"label_agreement":null},{"id":"W2031085102","doi":"10.1177/0042098011411942","title":"<i>T</i> -communities and Sense of Community in a University Town: Evidence from a Student Sample using a Spatial Ordered-response Model","year":2011,"lang":"en","type":"article","venue":"Urban Studies","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"","keywords":"Neighbourhood (mathematics); Sense of community; Sense of place; Sample (material); Probit model; Perception; Ordered probit; Sociology; Geography; Sustainable community; Regional science; Social science; Psychology; Sustainable development; Political science; Economics; Mathematics; Econometrics","score_opus":0.2375193227697138,"score_gpt":0.35773595504603495,"score_spread":0.12021663227632115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031085102","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970015,0.0016588798,0.00074431754,0.00006368738,0.000043777844,0.00018731318,0.00007443135,0.000028396453,0.00019769452],"genre_scores_gemma":[0.99836063,0.0003005832,0.0012373944,0.00003192964,0.000013927548,0.0000015047001,0.0000014363286,0.0000048782895,0.000047735695],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99818736,0.0010676032,0.00021931206,0.00011398326,0.00021267423,0.00019904727],"domain_scores_gemma":[0.9979871,0.0014244837,0.00011210188,0.00027701308,0.0001479618,0.00005134811],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012157793,0.00012222868,0.00032526153,0.00008235211,0.0006572018,0.000014496236,0.00027409085,0.00005706416,0.000025118314],"category_scores_gemma":[0.00028139455,0.00012156195,0.00004732243,0.00020670472,0.0010810491,0.00032795448,0.00025435438,0.00021541986,2.426678e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043905963,0.00012723496,0.54972327,0.000013913428,0.00003957739,0.000004211588,0.44932446,0.000014227768,0.00012786896,0.000036939717,0.000019287518,0.00012995582],"study_design_scores_gemma":[0.00048234194,0.00007174755,0.60630244,0.00019994333,0.00008040306,9.384696e-8,0.3900438,0.000320317,0.00016188234,0.0021161244,0.000045180892,0.00017569301],"about_ca_topic_score_codex":0.4250284,"about_ca_topic_score_gemma":0.32340634,"teacher_disagreement_score":0.1016221,"about_ca_system_score_codex":0.00011977925,"about_ca_system_score_gemma":0.0001337834,"threshold_uncertainty_score":0.68893975},"labels":[],"label_agreement":null},{"id":"W2031766080","doi":"10.1057/jphp.2008.52","title":"Transit and Health: Mode of Transport, Employer-Sponsored Public Transit Pass Programs, and Physical Activity","year":2009,"lang":"en","type":"article","venue":"Journal of Public Health Policy","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":131,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver Community College; University of British Columbia","funders":"Georgia Department of Transportation","keywords":"Public health law; Public transport; Public health; Public health policy; Environmental health; Physical activity; Mode (computer interface); Business; Transit (satellite); Journal of Public Health; Health policy; Transport engineering; Medicine; Engineering; Physical medicine and rehabilitation; Computer science; Nursing","score_opus":0.12965867479996127,"score_gpt":0.433098789725012,"score_spread":0.30344011492505074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031766080","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.71791625,0.00038195174,0.0012692543,0.27972123,0.000052011037,0.0003739856,0.000027265394,0.000033646826,0.00022439931],"genre_scores_gemma":[0.9966815,0.0007862516,0.00037440495,0.0014959968,0.00060043467,0.0000035095206,0.0000052194328,0.000015520194,0.000037136633],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.996195,0.0007296571,0.0009384998,0.00030604098,0.0008115147,0.0010192435],"domain_scores_gemma":[0.996936,0.00009644568,0.00082670344,0.00019957163,0.00029035495,0.0016508801],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004040072,0.00023685391,0.00096668623,0.00042390177,0.0005163463,0.00011256012,0.0003382296,0.00015743484,0.000013947108],"category_scores_gemma":[0.000100972815,0.00020494977,0.00023382697,0.0009194234,0.00053461414,0.0014194044,0.000005553357,0.0005464612,2.329744e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014572493,0.002205596,0.070359714,0.00032741323,0.00007330135,0.000010519076,0.062582254,0.0000017535971,0.000101716716,0.011496121,0.00023563633,0.85246027],"study_design_scores_gemma":[0.0016229284,0.0013342303,0.97425324,0.00009547959,0.000023601033,0.0000129596165,0.0013350203,0.000047316895,0.000017971626,0.0037424464,0.017279748,0.00023503647],"about_ca_topic_score_codex":0.009913138,"about_ca_topic_score_gemma":0.0075042197,"teacher_disagreement_score":0.90389353,"about_ca_system_score_codex":0.00027598653,"about_ca_system_score_gemma":0.0054418393,"threshold_uncertainty_score":0.99667996},"labels":[],"label_agreement":null},{"id":"W2031871564","doi":"10.1016/j.jsams.2012.11.169","title":"Contribution of perceived built environment attributes around the worksite to active transportation and physical activity","year":2012,"lang":"en","type":"article","venue":"Journal of science and medicine in sport","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Built environment; Work (physics); Physical activity; Transport engineering; Work environment; Relation (database); Human factors and ergonomics; Architectural engineering; Psychology; Business; Environmental health; Engineering; Poison control; Computer science; Civil engineering; Medicine; Physical therapy","score_opus":0.025995407942639527,"score_gpt":0.33006362580072657,"score_spread":0.304068217858087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031871564","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99632853,0.00014351083,0.00009838059,0.00309445,0.00010934283,0.00014822926,0.0000018843028,0.0000014417379,0.00007423356],"genre_scores_gemma":[0.9994664,0.0001724648,0.000023193945,0.000054908433,0.00026879902,0.0000013845862,4.7584132e-7,0.0000013056562,0.000011055827],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998834,0.000020804488,0.00019771712,0.00009521055,0.0006574505,0.00019482404],"domain_scores_gemma":[0.99933213,0.00008089181,0.00020214292,0.00005613323,0.00015042021,0.00017830085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002621946,0.000058635254,0.000210317,0.000086859814,0.00019750709,0.0000088850975,0.00012737427,0.000027751497,0.000009711917],"category_scores_gemma":[0.0001378814,0.00003459088,0.00002276205,0.00035561147,0.0017889921,0.00080033124,0.000005769879,0.00013750496,1.6088349e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000087247914,0.00010856848,0.9501751,0.0000037131015,0.000003735562,0.0000018257274,0.032343928,0.0000047086614,0.010706457,0.00017549233,0.000010694503,0.0063784947],"study_design_scores_gemma":[0.00026051336,0.00009207413,0.98745006,0.000054470613,0.000030648207,9.976709e-7,0.010445346,0.0000071205973,0.0009068521,0.00019702238,0.00051707256,0.000037839534],"about_ca_topic_score_codex":0.0007174491,"about_ca_topic_score_gemma":0.00026149288,"teacher_disagreement_score":0.03727491,"about_ca_system_score_codex":0.00007029942,"about_ca_system_score_gemma":0.00011663733,"threshold_uncertainty_score":0.65916157},"labels":[],"label_agreement":null},{"id":"W2031879635","doi":"10.1002/psp.1813","title":"CONFRONTING SUBURBAN POVERTY IN AMERICA by E.Kneebone and A.Berube. Brookings Institution Press, Washington, D.C., 2013. No of pages: xiv + 169. Price: $28.95 (hardback). ISBN 978‐0‐8157‐2390‐5","year":2014,"lang":"en","type":"article","venue":"Population Space and Place","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Poverty; Institution; Library science; Citation; Population; Sociology; Media studies; Political science; Law; Computer science; Social science; Demography","score_opus":0.011032819906193661,"score_gpt":0.24728960359331106,"score_spread":0.2362567836871174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031879635","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9879719,0.0026670692,0.000810328,0.0019838812,0.000228866,0.0004331572,0.000027767395,0.00007050458,0.005806514],"genre_scores_gemma":[0.99520206,0.0017428006,0.00045383314,0.00012881758,0.00012072693,0.00000796219,0.00006340458,0.00001175416,0.0022686522],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998371,0.00017865065,0.00039814756,0.00039545467,0.00034419345,0.00031254318],"domain_scores_gemma":[0.9991065,0.0001700849,0.00032267033,0.00017452917,0.00009869912,0.00012750964],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000826402,0.00017683647,0.0003331176,0.00005657769,0.00029115728,0.00011154777,0.00012731302,0.00016965672,0.000068221605],"category_scores_gemma":[0.00031726636,0.00017190784,0.000041506566,0.00022832026,0.0002332672,0.00084146106,0.00003238398,0.00018913885,0.000005539454],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009415989,0.0000835694,0.95831776,0.00013794842,0.000012685322,7.9482606e-7,0.0054223384,0.00005762455,0.00042931,0.001024598,0.0324288,0.0019904345],"study_design_scores_gemma":[0.0014388906,0.00006778931,0.591815,0.00022995385,0.000053475895,5.751928e-7,0.0013167704,0.002884349,0.00026117946,0.00059725257,0.40079936,0.00053540757],"about_ca_topic_score_codex":0.037873536,"about_ca_topic_score_gemma":0.010441753,"teacher_disagreement_score":0.36837056,"about_ca_system_score_codex":0.000061093735,"about_ca_system_score_gemma":0.00004384907,"threshold_uncertainty_score":0.96853334},"labels":[],"label_agreement":null},{"id":"W2031895150","doi":"10.1016/j.ypmed.2009.03.001","title":"Active school transportation in the Greater Toronto Area, Canada: An exploration of trends in space and time (1986–2006)","year":2009,"lang":"en","type":"article","venue":"Preventive Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":314,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"General Electric (Canada); University of Toronto","funders":"","keywords":"TRIPS architecture; Demography; Medicine; Travel behavior; Geography; Socioeconomics; Transport engineering; Sociology","score_opus":0.0332274676757102,"score_gpt":0.3146848526260361,"score_spread":0.2814573849503259,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031895150","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9895913,0.00017185157,0.000059087994,0.0032527312,0.000029469593,0.00022607647,0.000012129623,0.0000056652325,0.00665168],"genre_scores_gemma":[0.9991713,0.00002015237,0.000014877701,0.00008925856,0.00005652518,0.000009118017,0.00006742426,0.000002103473,0.00056923076],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990773,0.00016145094,0.00020630877,0.00016004448,0.0002675472,0.00012730721],"domain_scores_gemma":[0.9997139,0.000028860462,0.00007756715,0.00008543035,0.000042335992,0.00005191267],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053783006,0.000074504795,0.00016338158,0.000049521266,0.000049830367,0.0000048382176,0.00009823693,0.00003611983,0.00047520138],"category_scores_gemma":[0.000024865376,0.000051204683,0.000014083474,0.0002414471,0.0001020363,0.0008471883,8.757488e-7,0.000073352465,1.525252e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030758278,0.0002826881,0.68257046,0.000014109771,0.000016082227,0.000023615186,0.2695177,0.000009803951,0.0011729044,0.0016959615,0.0006936212,0.0436955],"study_design_scores_gemma":[0.00045919625,0.00010967992,0.9819399,0.000042392374,0.000018140705,3.042303e-8,0.015003135,0.000011463213,0.00011303293,0.002101695,0.00014832163,0.00005300139],"about_ca_topic_score_codex":0.6865071,"about_ca_topic_score_gemma":0.9766954,"teacher_disagreement_score":0.29936948,"about_ca_system_score_codex":0.00015849536,"about_ca_system_score_gemma":0.000105568,"threshold_uncertainty_score":0.5203122},"labels":[],"label_agreement":null},{"id":"W2032649586","doi":"10.1111/j.1465-7287.2007.00079.x","title":"PARTICIPATION IN PHYSICAL ACTIVITY AND GOVERNMENT SPENDING ON PARKS AND RECREATION","year":2007,"lang":"en","type":"article","venue":"Contemporary Economic Policy","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":164,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Recreation; Physical activity; Public economics; Government (linguistics); Business; Sample (material); Demographic economics; Economics; Political science; Medicine; Physical therapy","score_opus":0.04995435648396143,"score_gpt":0.3694596104292854,"score_spread":0.3195052539453239,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2032649586","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9517174,0.00002712707,0.000019917898,0.0006080285,0.000037936137,0.00016781095,0.0000071110358,0.000014401835,0.04740031],"genre_scores_gemma":[0.9994771,0.000021022992,0.0000068107806,0.00005489059,0.00025786253,0.000005426519,0.0000018811808,0.0000038656935,0.00017116398],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99943334,0.00004655521,0.000117510346,0.00018443224,0.0000633005,0.00015484131],"domain_scores_gemma":[0.99964815,0.00012633309,0.000072280134,0.00005941852,0.0000018746698,0.00009193602],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054174673,0.000064881875,0.00011765531,0.000040181123,0.00009919188,0.000036209705,0.00004052414,0.0000424362,0.000009984466],"category_scores_gemma":[0.000040748415,0.00006760347,0.000016883976,0.00004341181,0.0001091336,0.00040851295,0.000011505544,0.00006386814,0.0000037124773],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009658339,0.000077613644,0.94689983,0.000005313134,0.0000042259394,0.0000017139942,0.0032784825,0.0000013899291,0.00018526203,0.013771163,0.00002750663,0.035650887],"study_design_scores_gemma":[0.0002706361,0.00002516514,0.9956584,0.000010252457,0.000001925066,2.8550444e-8,0.00028121963,0.00015507606,0.00065426726,0.0017534059,0.0011175472,0.00007206597],"about_ca_topic_score_codex":0.006764395,"about_ca_topic_score_gemma":0.004773496,"teacher_disagreement_score":0.048758555,"about_ca_system_score_codex":0.00030657812,"about_ca_system_score_gemma":0.000057617042,"threshold_uncertainty_score":0.9998496},"labels":[],"label_agreement":null},{"id":"W2033111399","doi":"10.1080/02701367.2015.1008965","title":"Factorial Invariance of the Physical Activity Neighborhood Environment Survey Among Single- Versus Multi-Family Housing Residents","year":2015,"lang":"en","type":"article","venue":"Research Quarterly for Exercise and Sport","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"National Cancer Institute","keywords":"Confirmatory factor analysis; Perception; Psychology; Measurement invariance; Social psychology; Built environment; Factorial analysis; Structural equation modeling; Environmental health; Gerontology; Mathematics; Statistics; Medicine; Engineering","score_opus":0.19898559850239614,"score_gpt":0.39061257941827826,"score_spread":0.19162698091588212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2033111399","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980276,0.0000667098,0.00016463872,0.00004538089,0.0004227897,0.0008523829,0.00005051309,0.000015876318,0.00035408713],"genre_scores_gemma":[0.99941605,0.000023013088,0.000035536003,0.0000013934563,0.00024727272,0.000030959898,0.000009902546,0.0000135447135,0.00022230043],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976268,0.00023040557,0.00019547797,0.000372926,0.0010892348,0.00048519348],"domain_scores_gemma":[0.99885046,0.0002456754,0.00011136438,0.00034331257,0.00019583231,0.00025336002],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027580753,0.00012723194,0.0002973053,0.00005245895,0.00046512004,0.000100408615,0.0003865088,0.00011650919,0.0000051926927],"category_scores_gemma":[0.00012914925,0.00009833636,0.00010806131,0.00025728816,0.0008093359,0.00047624618,0.000040529507,0.000241256,0.0000026373386],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020207227,0.00087373215,0.9667641,0.000036572306,0.000023766943,0.0000035121766,0.013681245,0.0000028623595,0.0006310362,0.00017540129,0.0000964285,0.015690645],"study_design_scores_gemma":[0.0014381566,0.00032215432,0.9945002,0.00004664191,0.000020889524,1.2019549e-8,0.002049938,0.00010738398,0.000492764,0.0007326417,0.0001644784,0.0001247477],"about_ca_topic_score_codex":0.020794107,"about_ca_topic_score_gemma":0.0089087365,"teacher_disagreement_score":0.027736118,"about_ca_system_score_codex":0.00012409524,"about_ca_system_score_gemma":0.00033686913,"threshold_uncertainty_score":0.98572654},"labels":[],"label_agreement":null},{"id":"W2033756769","doi":"10.1016/j.aap.2010.12.005","title":"Sustainable road safety: A new (?) neighbourhood road pattern that saves VRU lives","year":2011,"lang":"en","type":"review","venue":"Accident Analysis & Prevention","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":47,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Transport engineering; Pedestrian; Neighbourhood (mathematics); Sustainable transport; Poison control; Car ownership; Sustainable development; Occupational safety and health; Business; Engineering; Public transport; Sustainability; Environmental health; Political science","score_opus":0.05366978331418158,"score_gpt":0.3561090634695027,"score_spread":0.3024392801553211,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2033756769","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006036259,0.9870793,0.0035653296,0.000061844774,0.00023501935,0.0014078232,0.0000025753413,0.00017845641,0.00686599],"genre_scores_gemma":[0.058298543,0.8796372,0.00007298731,0.00002223988,0.00058737496,0.000081457445,0.0006276621,0.000049724662,0.06062282],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99462724,0.0009617355,0.0013935466,0.0011885368,0.0008569402,0.00097202865],"domain_scores_gemma":[0.99678904,0.00009289133,0.0015387961,0.0009914322,0.00019859865,0.0003892317],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002028866,0.0006856548,0.002454366,0.00079987285,0.00082283234,0.0005727749,0.0013944824,0.00054331427,0.01073048],"category_scores_gemma":[0.00009528569,0.0006076398,0.004658101,0.0027305684,0.0001471508,0.0015263037,0.00019684245,0.0004909926,0.00019756042],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000067865867,0.00015629463,0.07395967,0.00032165425,0.0029544518,0.000015549214,0.002903082,5.8991645e-7,1.1871001e-8,0.00018460183,0.00023381496,0.9192635],"study_design_scores_gemma":[0.00033075185,0.000057393,0.08836601,0.0025278626,0.042508546,8.1920103e-7,0.0035506203,0.000006579158,6.8756077e-7,0.0030539779,0.85835654,0.0012401876],"about_ca_topic_score_codex":0.080326065,"about_ca_topic_score_gemma":0.14787184,"teacher_disagreement_score":0.9180233,"about_ca_system_score_codex":0.00049468025,"about_ca_system_score_gemma":0.0010158279,"threshold_uncertainty_score":0.9996375},"labels":[],"label_agreement":null},{"id":"W2033804220","doi":"10.3828/bjcs.16.2.10","title":"URBAN REGENERATION RATIONALTIES AND QUALITY OF LIFE: COMPARATIVE NOTES FROM TORONTO, MONTREAL AND VANCOUVER","year":2003,"lang":"en","type":"article","venue":"British Journal of Canadian Studies","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Regeneration (biology); Urban regeneration; History; Geography; Gerontology; Environmental planning; Medicine; Biology","score_opus":0.07447836753369472,"score_gpt":0.3223825648645657,"score_spread":0.24790419733087096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2033804220","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9155725,0.08081588,0.000014658195,0.00016189895,0.00019840375,0.00006456809,0.00007284486,0.0000020398188,0.00309716],"genre_scores_gemma":[0.99498165,0.0043167677,0.00033907234,0.00006478637,0.00014721481,0.0000011180074,0.0000017523397,0.0000022412378,0.00014538337],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990388,0.00019323209,0.0003566571,0.00009140068,0.00020475734,0.00011515479],"domain_scores_gemma":[0.9989398,0.0002179328,0.00021907002,0.00003245329,0.00039976975,0.00019095711],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055830297,0.00005992875,0.0003008923,0.000043570086,0.00035427645,0.000051383435,0.00004680678,0.000037721034,0.000054851163],"category_scores_gemma":[0.00048617527,0.00006410897,0.000033695476,0.00007426139,0.00036160636,0.00042675686,0.0000034866325,0.000060249684,5.98753e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003947521,0.000036850088,0.9154859,0.000026363796,0.00031902688,0.000015197649,0.04005391,0.0000058922333,0.000051231378,0.0031263488,0.036183722,0.0046560615],"study_design_scores_gemma":[0.0004495142,0.000028672279,0.9630402,0.000058381225,0.00003641506,9.272545e-7,0.028116835,0.0000010867221,0.00008469089,0.0018465318,0.006239658,0.000097117365],"about_ca_topic_score_codex":0.8295552,"about_ca_topic_score_gemma":0.9992024,"teacher_disagreement_score":0.16964717,"about_ca_system_score_codex":0.000092261755,"about_ca_system_score_gemma":0.0004099523,"threshold_uncertainty_score":0.2724844},"labels":[],"label_agreement":null},{"id":"W2034251716","doi":"10.1068/a3897","title":"From Excess Commuting to Commuting Possibilities: More Extension to the Concept of Excess Commuting","year":2007,"lang":"en","type":"article","venue":"Environment and Planning A Economy and Space","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":87,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Statistics Canada","funders":"","keywords":"Metropolitan area; Probabilistic logic; Extreme value theory; Extension (predicate logic); Sample (material); Standard deviation; Distribution (mathematics); Mathematics; Order (exchange); Econometrics; Statistics; Computer science; Geography; Economics; Thermodynamics; Physics; Mathematical analysis","score_opus":0.023330193033634008,"score_gpt":0.28595511977421123,"score_spread":0.26262492674057725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034251716","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9907488,0.0011707654,0.0021999693,0.0023799129,0.000098509096,0.0003312261,0.00002195423,0.000026830066,0.0030220177],"genre_scores_gemma":[0.9980027,0.000016577855,0.0009042524,0.00053869304,0.00024086816,0.0000051483903,0.000014922172,0.000009548278,0.0002672893],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986563,0.00011967666,0.00036185118,0.00033731328,0.00014741931,0.00037744813],"domain_scores_gemma":[0.9984489,0.0008731426,0.00016546116,0.00029745506,0.000014217749,0.00020081722],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018396402,0.0001656172,0.0002873906,0.000046717727,0.0010430845,0.00010579315,0.00027601223,0.00009050507,0.00007923023],"category_scores_gemma":[0.00006873097,0.00013998646,0.00004219429,0.00008522882,0.00037813405,0.00019594544,0.0001584135,0.00022188263,0.000003312437],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056286313,0.0000316117,0.7460476,0.00001566329,0.000021170112,0.000005141871,0.24646635,0.00044721496,0.00008885514,0.00023860644,0.00019149567,0.006390009],"study_design_scores_gemma":[0.00053651567,0.00009369513,0.62410355,0.00033025,0.000046371577,7.993507e-7,0.32936707,0.00034137722,0.0010325196,0.0008251056,0.0428569,0.0004658342],"about_ca_topic_score_codex":0.006357896,"about_ca_topic_score_gemma":0.00074049446,"teacher_disagreement_score":0.12194404,"about_ca_system_score_codex":0.00004508887,"about_ca_system_score_gemma":0.000016852338,"threshold_uncertainty_score":0.96112794},"labels":[],"label_agreement":null},{"id":"W2035953061","doi":"10.1007/s11116-012-9385-x","title":"Participation and desire: leisure activities among Canadian adults with disabilities","year":2012,"lang":"en","type":"article","venue":"Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":54,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"","keywords":"Recreation; Obligation; Perspective (graphical); Spare time; Psychology; Convention; Sociology; Political science; Economics; Social science","score_opus":0.02430345713601301,"score_gpt":0.27812599578994385,"score_spread":0.25382253865393084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2035953061","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975431,0.00008499317,0.000065413005,0.00013220221,0.00007433314,0.0002411157,0.000026165979,0.00005233777,0.0017803375],"genre_scores_gemma":[0.9995045,0.000012569564,0.00007027676,0.000013789494,0.00010473989,0.00003741937,0.000076902725,0.000007865543,0.00017195243],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992309,0.00003920818,0.00012109298,0.00012450751,0.00017663423,0.0003076455],"domain_scores_gemma":[0.99956936,0.000048334892,0.00003947018,0.00006849826,0.000033325803,0.00024102518],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019245126,0.00008112499,0.00009388271,0.000036946047,0.0003302495,0.0000332308,0.0000423611,0.00006580562,0.00013922957],"category_scores_gemma":[0.000010338333,0.00007198361,0.00001935286,0.00012021715,0.00033071582,0.0011502947,2.7550922e-7,0.000060364007,0.000001896573],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029114228,0.000017757988,0.94304067,0.000026829555,0.000005549298,4.1223845e-7,0.052676357,0.0000031310724,0.0000029398116,0.0027128886,0.000004824749,0.0014795365],"study_design_scores_gemma":[0.00015306141,0.000017676683,0.98473626,0.000021684356,0.00003331953,1.4702399e-8,0.014348965,0.0000046117766,0.00010109469,0.00016672305,0.00031048973,0.00010610588],"about_ca_topic_score_codex":0.31193668,"about_ca_topic_score_gemma":0.9594511,"teacher_disagreement_score":0.64751434,"about_ca_system_score_codex":0.00005385772,"about_ca_system_score_gemma":0.00009804165,"threshold_uncertainty_score":0.6926452},"labels":[],"label_agreement":null},{"id":"W2035956417","doi":"10.1061/9780784413210.005","title":"Transit-Oriented Development (TOD) in Edmonton, Canada","year":2013,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Transit-oriented development; Transport engineering; Public transport; Pedestrian; Sustainable development; Land use; Transit (satellite); Capital city; Urban planning; Business; Population; Transit system; Geography; Environmental planning; Engineering; Civil engineering; Political science; Economic geography","score_opus":0.009776744231566308,"score_gpt":0.23561954378779074,"score_spread":0.22584279955622444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2035956417","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9054113,0.00002947287,0.00016267078,0.0015505329,0.00013654823,0.00021302914,6.080173e-7,0.00003157099,0.092464276],"genre_scores_gemma":[0.9943887,0.0000020630093,0.00046164668,0.0003080256,0.000028688699,0.000020907628,0.0000043408927,0.0000030193921,0.004782592],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990775,0.000029133706,0.00019505557,0.00015420068,0.00027094883,0.00027317923],"domain_scores_gemma":[0.9997122,0.00002048305,0.00001859715,0.0000775775,0.00005529368,0.00011583343],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00018216282,0.00006297357,0.00009066375,0.000023205464,0.00014763811,0.000023373339,0.00014274604,0.000039740928,0.0029740478],"category_scores_gemma":[0.000012526762,0.00005423613,0.000014817491,0.0002240209,0.00005060958,0.00020993492,0.0000043521327,0.000063049694,0.000022793743],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000031677423,0.000063203566,0.9744115,0.000006785086,0.0000054977454,0.0000076172087,0.008490419,0.0000020132622,0.000045754347,0.001239161,0.0043896,0.011335298],"study_design_scores_gemma":[0.00013842367,0.000001923393,0.8943454,0.0000048403476,0.0000011126133,1.6504803e-8,0.0021896202,0.0000071716117,0.00028284095,0.00016286156,0.10276372,0.00010204333],"about_ca_topic_score_codex":0.9865946,"about_ca_topic_score_gemma":0.9995057,"teacher_disagreement_score":0.09837412,"about_ca_system_score_codex":0.00020993505,"about_ca_system_score_gemma":0.0012020519,"threshold_uncertainty_score":0.9979374},"labels":[],"label_agreement":null},{"id":"W2036409607","doi":"10.4000/vertigo.11713","title":"Penser la mobilité durable au-delà de la planification traditionnelle du transport","year":2012,"lang":"fr","type":"article","venue":"VertigO","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Philosophy","score_opus":0.019687604092439685,"score_gpt":0.2610668543377923,"score_spread":0.24137925024535262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036409607","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9071953,0.0017739586,0.0020724486,0.0017147199,0.00091514696,0.00024251892,0.00006769232,0.000094211,0.08592399],"genre_scores_gemma":[0.9912083,0.00034886753,0.00038092307,0.00014502129,0.0010239087,0.000035162662,0.000058602578,0.0000242617,0.006774925],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997843,0.00046468576,0.00037199663,0.00030653374,0.0003227695,0.0006909799],"domain_scores_gemma":[0.99890953,0.0003147656,0.000097643875,0.00026832637,0.00004978558,0.0003599535],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015462878,0.00020182726,0.00022502063,0.00004293433,0.0005227302,0.000044093045,0.0002818178,0.00036695454,0.003259467],"category_scores_gemma":[0.00004590623,0.00020948044,0.00018400242,0.0003625535,0.0008397748,0.0010054695,0.0000057409534,0.0002819484,0.00020985935],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046253623,0.0008344335,0.9056044,0.00009098013,0.000028193288,0.000009869168,0.034437552,0.000028680288,0.0002989863,0.055825144,0.0020551234,0.0007403843],"study_design_scores_gemma":[0.0003127721,0.00002172472,0.8012777,0.000039886625,0.000105351355,0.0000049967516,0.0019393204,0.00006699495,0.0006918876,0.0032913627,0.19201109,0.00023695214],"about_ca_topic_score_codex":0.004390766,"about_ca_topic_score_gemma":0.0011424005,"teacher_disagreement_score":0.18995596,"about_ca_system_score_codex":0.00026877146,"about_ca_system_score_gemma":0.00030129254,"threshold_uncertainty_score":0.9976517},"labels":[],"label_agreement":null},{"id":"W2036697078","doi":"10.1016/j.amepre.2012.06.026","title":"An Interactive Mapping Tool to Assess Individual Mobility Patterns in Neighborhood Studies","year":2012,"lang":"en","type":"article","venue":"American Journal of Preventive Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":291,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Canadian Institutes of Health Research","keywords":"Resource (disambiguation); Destinations; Built environment; Computer science; Psychological intervention; Space (punctuation); Construct (python library); Promotion (chess); Geography; Data science; Psychology; Ecology; Tourism","score_opus":0.08043540435552138,"score_gpt":0.4205906182761007,"score_spread":0.34015521392057935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036697078","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9934207,0.000354975,0.004077483,0.0009996531,0.00057006604,0.00024339436,0.0000076385,0.000009771463,0.00031630334],"genre_scores_gemma":[0.99818105,0.000053795728,0.0005093314,0.00032424083,0.0008876085,0.000008927832,0.0000021688338,0.000007978813,0.000024929337],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973878,0.00076808746,0.00067102676,0.00017906378,0.0006033183,0.00039066828],"domain_scores_gemma":[0.9982305,0.0003907507,0.0005967841,0.00015206404,0.0003393977,0.0002905032],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004438779,0.00014386499,0.00059479254,0.00024791414,0.000107059204,0.000017104503,0.00040738547,0.000026274156,0.00020639063],"category_scores_gemma":[0.00078928214,0.000107095235,0.00008340287,0.00064434146,0.0005717003,0.001063309,0.00003782019,0.00034102425,0.0000021631047],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006244043,0.00034281853,0.8316744,0.000010037449,0.00010391318,0.000009197861,0.11428665,0.0000014970683,0.00012092862,0.000053011587,0.000039780876,0.053295348],"study_design_scores_gemma":[0.0003480702,0.00054839335,0.81512886,0.0002732551,0.000053651413,0.0000012945001,0.18281211,7.7677004e-7,0.000052328927,0.00039261117,0.00028687538,0.0001017669],"about_ca_topic_score_codex":0.00084269576,"about_ca_topic_score_gemma":0.00080831547,"teacher_disagreement_score":0.068525456,"about_ca_system_score_codex":0.00024537544,"about_ca_system_score_gemma":0.00012472125,"threshold_uncertainty_score":0.43672168},"labels":[],"label_agreement":null},{"id":"W2036957386","doi":"10.1097/ede.0b013e3181e89f19","title":"Changes in Residential Proximity to Road Traffic and the Risk of Death From Coronary Heart Disease","year":2010,"lang":"en","type":"article","venue":"Epidemiology","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":110,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Demography; Medicine; Confidence interval; Relative risk; Cohort; Logistic regression; Cohort study; Metropolitan area; Population; Poison control; Injury prevention; Environmental health; Geography; Internal medicine","score_opus":0.03819732419458473,"score_gpt":0.336392808946152,"score_spread":0.29819548475156726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036957386","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97685677,0.0003784146,0.000014885255,0.02183814,0.00025939973,0.0004845239,0.00003675843,0.000017423328,0.000113678725],"genre_scores_gemma":[0.9985857,0.000071933304,0.00027772356,0.00071982696,0.00024330468,0.00003951711,0.0000058650558,0.0000035061369,0.00005261098],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978964,0.0012571336,0.0002647424,0.00026573293,0.00008014548,0.00023588304],"domain_scores_gemma":[0.9978599,0.0016614073,0.00010242693,0.00021071263,0.000023281988,0.00014229133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037618957,0.00007391685,0.00032814077,0.00003278264,0.00015259311,0.0000047819763,0.00020122697,0.00010262913,0.00014863769],"category_scores_gemma":[0.003342593,0.00004894391,0.000052470237,0.00009228058,0.00073171576,0.00007078217,0.00003438337,0.00024547134,0.000003942578],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003261241,0.000031304313,0.9942011,0.0000032311993,0.00000574155,0.0000015659817,0.0019509913,0.0000088415545,0.000025173988,0.0013493845,0.0002086631,0.0018878559],"study_design_scores_gemma":[0.00035066184,0.000015927302,0.9730897,0.00000538406,0.000022068156,5.6047444e-8,0.00013389732,0.00006762577,0.000005931224,0.025473684,0.0007818808,0.000053201977],"about_ca_topic_score_codex":0.039097793,"about_ca_topic_score_gemma":0.28051856,"teacher_disagreement_score":0.24142076,"about_ca_system_score_codex":0.0000099781755,"about_ca_system_score_gemma":0.000075446726,"threshold_uncertainty_score":0.96730095},"labels":[],"label_agreement":null},{"id":"W2037216959","doi":"10.1017/s0714980814000178","title":"Characterizing Social and Recreational Programming in Assisted Living","year":2014,"lang":"fr","type":"article","venue":"Canadian Journal on Aging / La Revue canadienne du vieillissement","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Fraser Health; Simon Fraser University; Vancouver Coastal Health; Vancouver Coastal Health Research Institute; University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Political science; Humanities; Philosophy","score_opus":0.02173947196596536,"score_gpt":0.25087452711573177,"score_spread":0.2291350551497664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037216959","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9564716,0.0013995044,0.00006372996,0.03426705,0.0019098589,0.00025591403,0.000026490505,0.000015215083,0.0055906214],"genre_scores_gemma":[0.9949064,0.0001501298,0.00026192478,0.00091516343,0.0018992533,0.00001706022,0.000017660632,0.00003633853,0.0017960536],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99675226,0.000646853,0.00065338996,0.00047238395,0.00017822346,0.0012968885],"domain_scores_gemma":[0.99728745,0.0002946285,0.00033251784,0.00014251252,0.00016418562,0.0017787183],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0034396895,0.00030766457,0.00042434636,0.00044824407,0.0016035003,0.0006162794,0.0003281211,0.00021815384,0.0005021391],"category_scores_gemma":[0.00045227582,0.00036038333,0.00013533545,0.0005934751,0.00044622621,0.00048946164,0.000015418294,0.000777215,0.000007690475],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000092582995,0.00010292804,0.56584144,0.00020272963,0.0000721605,0.00057078194,0.058259074,0.000020131414,0.0000398549,0.02441901,0.0004565707,0.35000604],"study_design_scores_gemma":[0.00023381771,0.0000540067,0.6047602,0.0015547731,0.000039253744,0.00004610162,0.0022259946,0.00017334525,0.000001640054,0.00028758898,0.39031014,0.0003130904],"about_ca_topic_score_codex":0.15571749,"about_ca_topic_score_gemma":0.92485875,"teacher_disagreement_score":0.76914126,"about_ca_system_score_codex":0.0021998195,"about_ca_system_score_gemma":0.0010151456,"threshold_uncertainty_score":0.9998848},"labels":[],"label_agreement":null},{"id":"W2037711817","doi":"10.1068/b31170","title":"Current and Future Patterns of Land-Use Change in the Coastal Zone of New Jersey","year":2005,"lang":"en","type":"article","venue":"Environment and Planning B Planning and Design","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Oceanic and Atmospheric Administration","keywords":"Amenity; Land use; Geography; Urban planning; Environmental planning; Population; Population growth; Economic geography; Regional science; Environmental resource management; Environmental science; Civil engineering; Business; Engineering","score_opus":0.07236265498958414,"score_gpt":0.29458974631361523,"score_spread":0.2222270913240311,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037711817","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.991557,0.0066933134,0.0011761963,0.0002823439,0.00004143648,0.00017105755,0.000019285131,0.000006647629,0.00005273611],"genre_scores_gemma":[0.99826545,0.0009510208,0.0003870779,0.00004058091,0.00029636582,0.0000037461048,0.000012930882,0.0000036351942,0.000039171264],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99928117,0.00009344769,0.00015618152,0.00015245283,0.00016899488,0.00014773938],"domain_scores_gemma":[0.9996341,0.00015461573,0.000079376405,0.00006737311,0.0000027827973,0.00006174379],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048614905,0.00009175836,0.00014839554,0.00004262319,0.000110747744,0.000029025718,0.000065439985,0.00005761952,0.000019738274],"category_scores_gemma":[0.0000065886748,0.00006766398,0.000015547275,0.00004031131,0.000104994506,0.00018043195,0.000014441625,0.00011547788,2.3695823e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046291207,0.0000300406,0.93723243,0.000018430297,0.0000048759675,0.000003997106,0.04973981,0.00004786392,0.000015767546,0.00003174258,0.00009649818,0.012732232],"study_design_scores_gemma":[0.00035337347,0.00005335555,0.98317295,0.000097977485,0.000018747169,6.4110367e-7,0.0031533944,0.00010202075,0.000029903464,0.000029479412,0.012900269,0.000087907785],"about_ca_topic_score_codex":0.0011167323,"about_ca_topic_score_gemma":0.00012466255,"teacher_disagreement_score":0.04658642,"about_ca_system_score_codex":0.000004090022,"about_ca_system_score_gemma":0.000013389914,"threshold_uncertainty_score":0.27592573},"labels":[],"label_agreement":null},{"id":"W2038029844","doi":"10.3141/2230-05","title":"Transcending the Typical Weekday with Large-Scale Single-Day Survey Samples","year":2011,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Metropolitan area; Travel behavior; Travel survey; Scale (ratio); Context (archaeology); Travel time; Transport engineering; Traffic congestion; Geography; Computer science; Engineering; Cartography","score_opus":0.24069353909965274,"score_gpt":0.4063905715240653,"score_spread":0.16569703242441258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038029844","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9901522,0.00019718579,0.004036958,0.0026727668,0.0005271022,0.0011652992,0.00015738359,0.000046514477,0.0010446343],"genre_scores_gemma":[0.99711436,0.00034935647,0.0011608034,0.000055691147,0.00028270678,0.000050470953,0.00002690458,0.000057209003,0.0009024726],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9866734,0.0049568485,0.0013728117,0.0005410242,0.004952883,0.0015030348],"domain_scores_gemma":[0.9922858,0.0023157052,0.00046418118,0.00062934373,0.003736064,0.00056893076],"candidate_categories":["sts","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.019310243,0.00029638034,0.0005170663,0.00055291574,0.0025054833,0.00023349142,0.002212419,0.00026686376,0.0014322002],"category_scores_gemma":[0.000338161,0.00017500306,0.0004430537,0.0032236474,0.0025795524,0.0010347759,0.000006112534,0.002712385,0.00002145773],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025283096,0.0006988581,0.9423235,0.00006659335,0.00012703055,0.000055615637,0.04822347,0.000022724184,0.00030707725,0.0019030839,0.001257676,0.0024860515],"study_design_scores_gemma":[0.0012296756,0.00041911227,0.96659607,0.00019683916,0.00007167754,1.5064852e-7,0.013389955,0.0000076829865,0.0006896962,0.0021058733,0.0150749115,0.00021836345],"about_ca_topic_score_codex":0.056959227,"about_ca_topic_score_gemma":0.73988086,"teacher_disagreement_score":0.68292165,"about_ca_system_score_codex":0.00025726782,"about_ca_system_score_gemma":0.001170821,"threshold_uncertainty_score":0.9995884},"labels":[],"label_agreement":null},{"id":"W2038094306","doi":"10.1016/j.amepre.2004.04.011","title":"Obesity relationships with community design, physical activity, and time spent in cars","year":2004,"lang":"en","type":"article","venue":"American Journal of Preventive Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1733,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; University of British Columbia","funders":"","keywords":"Obesity; Physical activity; Environmental health; Medicine; Gerontology; Transport engineering; Physical therapy; Engineering; Internal medicine","score_opus":0.041629119664540984,"score_gpt":0.32743743040165846,"score_spread":0.2858083107371175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038094306","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9933939,0.000051013227,0.0043060197,0.0013644155,0.0000234624,0.00014874678,8.5565705e-7,0.0000055719956,0.0007060076],"genre_scores_gemma":[0.9991561,0.000020555897,0.00064223126,0.000023251585,0.00010104497,0.0000010589212,5.8102967e-7,0.0000045498678,0.00005062763],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99810886,0.0011548625,0.00017297077,0.00008317761,0.00033545145,0.00014464711],"domain_scores_gemma":[0.9989381,0.0004091564,0.00032125224,0.00009263784,0.000105492894,0.00013338307],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021980552,0.0000843792,0.00034177623,0.000087363886,0.00023897567,0.000008841616,0.00016565171,0.000017548798,0.000018278075],"category_scores_gemma":[0.00015870937,0.000058570015,0.000034428234,0.00040590035,0.0015661395,0.00027399318,0.0000149252,0.00059131515,0.0000013636547],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028357402,0.00097463344,0.92839503,0.000010832823,0.00006320655,0.00005098963,0.056980006,0.00007259683,0.00062491716,0.0002966347,0.000017844257,0.012229748],"study_design_scores_gemma":[0.00082387635,0.000900921,0.98327863,0.0002427265,0.00006186547,0.000004156584,0.008279641,0.000004013138,0.00014900435,0.006171018,0.00001929453,0.000064856096],"about_ca_topic_score_codex":0.006376275,"about_ca_topic_score_gemma":0.0027518617,"teacher_disagreement_score":0.054883614,"about_ca_system_score_codex":0.00014666635,"about_ca_system_score_gemma":0.00019236955,"threshold_uncertainty_score":0.9639063},"labels":[],"label_agreement":null},{"id":"W2038157883","doi":"10.1111/jhn.12055","title":"A spatial analysis of community level overweight and obesity","year":2013,"lang":"en","type":"article","venue":"Journal of Human Nutrition and Dietetics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"Canadian Institutes of Health Research","keywords":"Overweight; Obesity; Medicine; Rurality; Environmental health; Incidence (geometry); Cluster (spacecraft); Public health; Demography; Rural area; Body mass index; Urbanization; Geography; Gerontology; Economic growth","score_opus":0.06030828294348005,"score_gpt":0.3298910720212118,"score_spread":0.26958278907773175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038157883","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984068,0.00030090995,0.00016929062,0.0005048265,0.000033899476,0.00006374492,0.000013159201,0.000003212806,0.0005041359],"genre_scores_gemma":[0.99936104,0.00028394663,0.00018921049,0.000054431304,0.00006605841,5.482748e-7,0.000003782085,0.0000018355199,0.000039123814],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992261,0.0001509383,0.0003003685,0.000039600778,0.00020157598,0.000081425685],"domain_scores_gemma":[0.99925333,0.00008568513,0.00023470007,0.00007065916,0.00025651808,0.00009911903],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046996828,0.00005105858,0.00023453921,0.0001366785,0.00034831776,0.0000515268,0.000091972615,0.000054609376,0.00018775993],"category_scores_gemma":[0.000038661845,0.000044050143,0.000095648196,0.00016670139,0.00030637896,0.00021743398,0.000015025831,0.00016705174,2.1922735e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027504237,0.0011068746,0.9803642,0.0001326275,0.00024905606,0.0000022195845,0.01150868,5.3587155e-7,0.001441926,0.0013649126,0.0017175567,0.0020838943],"study_design_scores_gemma":[0.000433589,0.000116545896,0.98790157,0.000029566922,0.0002857824,2.7717715e-7,0.0024444168,0.000016955086,0.0001462266,0.0079366015,0.00063652924,0.000051914372],"about_ca_topic_score_codex":0.002682794,"about_ca_topic_score_gemma":0.004263103,"teacher_disagreement_score":0.009064263,"about_ca_system_score_codex":0.000016090478,"about_ca_system_score_gemma":0.000018976656,"threshold_uncertainty_score":0.40555996},"labels":[],"label_agreement":null},{"id":"W2038381259","doi":"10.1016/j.jth.2014.09.004","title":"School travel planning in Canada: Identifying child, family, and school-level characteristics associated with travel mode shift from driving to active school travel","year":2014,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":63,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University; University of Toronto","funders":"Health Canada","keywords":"Demographics; Morning; Intervention (counseling); Demography; Psychology; Medicine; Geography; Nursing; Sociology","score_opus":0.03247406680000223,"score_gpt":0.2998502063883862,"score_spread":0.267376139588384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038381259","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9849176,0.00021981777,0.011086225,0.001978654,0.0003746709,0.0004961372,0.0003299733,0.000017481221,0.00057948905],"genre_scores_gemma":[0.99717915,0.00012719244,0.00083996245,0.0012577622,0.00044448616,0.000007517771,0.000050635954,0.000046919176,0.00004639259],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99526954,0.00031284947,0.0016064101,0.0005341729,0.0013029516,0.00097410585],"domain_scores_gemma":[0.99638397,0.00022589255,0.001072175,0.0002274576,0.00023153955,0.001858963],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0021922537,0.00039610863,0.0012523466,0.00032528507,0.00068918226,0.00012172284,0.00055844215,0.0002026238,0.00010695482],"category_scores_gemma":[0.00032601284,0.00036662174,0.00013644627,0.00056036643,0.00011906221,0.00091658626,0.00001097544,0.00151516,0.0000021015214],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002853605,0.00013312322,0.9885408,0.00005181198,0.00010114532,0.000085454376,0.009118146,0.00008240685,0.00017615636,0.000024625368,0.00006083726,0.0013401206],"study_design_scores_gemma":[0.0016347421,0.00014558897,0.98689353,0.0015803383,0.00008439567,0.0000026170178,0.008871396,0.00007546481,0.000045682154,0.00021880641,0.000056869052,0.0003905545],"about_ca_topic_score_codex":0.72156775,"about_ca_topic_score_gemma":0.9453908,"teacher_disagreement_score":0.22382309,"about_ca_system_score_codex":0.0020001421,"about_ca_system_score_gemma":0.00829256,"threshold_uncertainty_score":0.9998786},"labels":[],"label_agreement":null},{"id":"W2038481756","doi":"10.1016/s0301-4215(00)00105-1","title":"Sustainable energy and urban form in China: the relevance of community energy management","year":2001,"lang":"en","type":"article","venue":"Energy Policy","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":41,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Tsinghua University","keywords":"Environmental economics; Energy consumption; Land use; Business; Sustainable development; Environmental planning; Urban planning; Energy management; China; Transport engineering; Energy planning; Efficient energy use; Context (archaeology); Urban density; Environmental resource management; Natural resource economics; Civil engineering; Renewable energy; Engineering; Energy (signal processing); Environmental science; Economics; Geography","score_opus":0.011727404660936991,"score_gpt":0.2766891111712935,"score_spread":0.26496170651035655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038481756","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7711566,0.00084308436,0.00034498225,0.0028211535,0.0000528484,0.000061479346,0.000002847323,0.00004450934,0.22467251],"genre_scores_gemma":[0.9611165,0.0018433102,0.000019740597,0.0005421854,0.00017173759,0.000025798665,0.0000064007404,0.000010236591,0.03626408],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99865866,0.00023794416,0.00025887124,0.00014347651,0.00022952851,0.0004715389],"domain_scores_gemma":[0.99927235,0.00010526109,0.000102515776,0.00039196148,0.000043302723,0.00008462665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059343,0.00012532575,0.00018438928,0.00015059774,0.00060912693,0.000039164166,0.0004964143,0.0000788948,0.000034638873],"category_scores_gemma":[0.00005171643,0.00009916096,0.00005417383,0.00085435156,0.00044547213,0.00027074618,0.00012092439,0.00010641194,1.7768399e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026730952,0.00012944493,0.026764123,0.000018302137,0.000015207307,0.000010855507,0.0066642817,0.000025684865,0.0000068395275,0.9422176,0.00089261465,0.02322835],"study_design_scores_gemma":[0.00042755782,0.000039959017,0.19675109,0.00002016999,0.000012879864,5.743447e-7,0.007849892,0.000028806955,0.00020218168,0.14009964,0.6543869,0.0001803664],"about_ca_topic_score_codex":0.53263146,"about_ca_topic_score_gemma":0.1987529,"teacher_disagreement_score":0.80211794,"about_ca_system_score_codex":0.00014357484,"about_ca_system_score_gemma":0.000102549,"threshold_uncertainty_score":0.8158678},"labels":[],"label_agreement":null},{"id":"W2038571648","doi":"10.1123/japa.2012-0332","title":"Neighborhood Environment and Physical Activity Among Older Adults: Do the Relationships Differ by Driving Status?","year":2014,"lang":"en","type":"article","venue":"Journal of Aging and Physical Activity","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":91,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Heart, Lung, and Blood Institute; Centers for Disease Control and Prevention","keywords":"Physical activity; Psychology; Gerontology; Medicine; Physical medicine and rehabilitation","score_opus":0.010920049367659128,"score_gpt":0.2547415144256739,"score_spread":0.24382146505801475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038571648","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970281,0.000048666458,0.0010176802,0.0014113389,0.000056616842,0.00010095614,0.0000052573814,0.000012038887,0.00031934722],"genre_scores_gemma":[0.99934405,0.000047368623,0.000013528911,0.00001666733,0.00052602636,0.0000022384718,4.6746155e-7,0.000008304958,0.000041373656],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99853337,0.00046611525,0.00011180225,0.00021345293,0.00041127397,0.00026397104],"domain_scores_gemma":[0.9985153,0.00085856125,0.00025174284,0.00013046122,0.0000299455,0.00021396906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006248418,0.0001414285,0.00027662644,0.000022064925,0.0006938571,0.00014394229,0.00012338512,0.000053911193,0.000007742906],"category_scores_gemma":[0.000093698916,0.000091254915,0.00011106458,0.00008858477,0.0004574219,0.000763082,0.000038010734,0.0006825052,8.216472e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003023371,0.0007075521,0.9317644,0.0000160321,0.00003234123,7.777735e-7,0.013005829,0.0000047595786,0.0005753289,0.00019291304,0.00006711539,0.05360271],"study_design_scores_gemma":[0.00035057918,0.000054454067,0.99499905,0.000051492418,0.00006227697,4.056175e-7,0.00052843895,0.0010998016,0.00042744982,0.0019637211,0.00033935645,0.00012296032],"about_ca_topic_score_codex":0.00022173478,"about_ca_topic_score_gemma":0.00004124259,"teacher_disagreement_score":0.06323466,"about_ca_system_score_codex":0.000052333686,"about_ca_system_score_gemma":0.000024851674,"threshold_uncertainty_score":0.5336658},"labels":[],"label_agreement":null},{"id":"W2038926730","doi":"10.1016/j.tra.2010.03.015","title":"Designing a route planner to facilitate and promote cycling in Metro Vancouver, Canada","year":2010,"lang":"en","type":"article","venue":"Transportation Research Part A Policy and Practice","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":124,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research; Heart and Stroke Foundation of Canada","keywords":"Planner; Greenhouse gas; Transport engineering; Public transport; Cycling; TRIPS architecture; Sustainable transport; Redundancy (engineering); Computer science; Environmental economics; Operations research; Engineering; Sustainability; Geography","score_opus":0.14161661862389935,"score_gpt":0.4340873922718159,"score_spread":0.29247077364791657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038926730","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98674434,0.00006235432,0.00015625093,0.0081582265,0.00014984037,0.0005313462,0.00007400641,0.0000228705,0.0041007465],"genre_scores_gemma":[0.9967027,0.00007202965,0.001669557,0.00036044844,0.00014502672,0.000049968734,0.0000129370155,0.00000801147,0.0009793777],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978307,0.00041417294,0.000276612,0.00033318816,0.00062088977,0.00052443275],"domain_scores_gemma":[0.9975162,0.001747106,0.000055275814,0.00012247363,0.00019576473,0.0003631847],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043453355,0.000100441015,0.0001485999,0.00019538745,0.0005428538,0.00010535969,0.0001302335,0.00008461445,0.00004953241],"category_scores_gemma":[0.0022667884,0.00009929935,0.000015657512,0.0007471143,0.00019375174,0.000827051,0.0000053752424,0.0005876776,0.0000021345143],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013566341,0.000233099,0.81985724,0.00021532062,0.0000638142,0.00026218258,0.1441755,0.0001034123,0.003251699,0.009123705,0.005056057,0.016301332],"study_design_scores_gemma":[0.00065786747,0.000078931254,0.24439475,0.000047944686,0.00002093857,2.4762556e-7,0.018734686,0.000036407728,0.00037443673,0.0016631667,0.7337116,0.0002790235],"about_ca_topic_score_codex":0.93834203,"about_ca_topic_score_gemma":0.99864453,"teacher_disagreement_score":0.7286556,"about_ca_system_score_codex":0.00007351109,"about_ca_system_score_gemma":0.0013247351,"threshold_uncertainty_score":0.41752476},"labels":[],"label_agreement":null},{"id":"W2039582592","doi":"10.1016/j.jtrangeo.2013.06.008","title":"Mode choice of university students commuting to school and the role of active travel","year":2013,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":298,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"McMaster University","keywords":"Mode choice; Modal; Travel behavior; Transport engineering; Population; Modal shift; Affect (linguistics); Travel time; Value of time; Mode (computer interface); Travel survey; Marketing; Psychology; Geography; Business; Engineering; Sociology; Public transport; Demography; Computer science","score_opus":0.009399041691184312,"score_gpt":0.2705729955362212,"score_spread":0.2611739538450369,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039582592","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972303,0.00018182128,0.00013153451,0.00035387484,0.000047466805,0.00025859015,0.000019134652,0.0000036544186,0.0017736461],"genre_scores_gemma":[0.9995542,0.000106971675,0.00023772784,0.000031269796,0.000042222266,5.1433165e-7,6.9106915e-7,0.0000037330221,0.000022677103],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987297,0.00012587983,0.00038238382,0.000091580485,0.00051181094,0.00015862517],"domain_scores_gemma":[0.9988484,0.00015141,0.00038319503,0.0001151628,0.00033098235,0.00017086668],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085204473,0.00008263679,0.0003237853,0.00016800791,0.00018354694,0.000013587965,0.0005592195,0.000057431695,0.00008458963],"category_scores_gemma":[0.000026928241,0.000060051523,0.0002624652,0.00041354867,0.00047293346,0.0004120742,0.000010760387,0.00021266358,3.4293882e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002681768,0.00012695609,0.98893535,0.000012425063,0.000119841265,0.0000011680021,0.008586493,0.000013822578,0.00039493048,0.00011517524,0.0000072309576,0.0014184399],"study_design_scores_gemma":[0.001020739,0.000052264844,0.98434705,0.0000511356,0.00012528634,1.787747e-7,0.012531763,0.0000029981682,0.000447,0.0009392037,0.00042252193,0.00005983982],"about_ca_topic_score_codex":0.015159896,"about_ca_topic_score_gemma":0.0022227147,"teacher_disagreement_score":0.012937181,"about_ca_system_score_codex":0.000014968385,"about_ca_system_score_gemma":0.0000770672,"threshold_uncertainty_score":0.9913982},"labels":[],"label_agreement":null},{"id":"W2039720952","doi":"10.5038/2375-0901.6.4.2","title":"Bus Transit and Land Use: Illuminating the Interaction","year":2003,"lang":"en","type":"article","venue":"Journal of Public Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":70,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transit (satellite); Public transport; Land use; Transport engineering; Geography; Service (business); Business; Quarter (Canadian coin); Population; Environmental planning; Regional science; Marketing; Engineering; Civil engineering; Sociology; Demography","score_opus":0.04516553021688189,"score_gpt":0.30596275331443173,"score_spread":0.2607972230975498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039720952","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99261063,0.00017397472,0.0042747115,0.0018526628,0.00029788233,0.00008147265,0.0000032382864,0.000010180232,0.00069526525],"genre_scores_gemma":[0.99935406,0.0000859331,0.00030145867,0.00005556797,0.000094697156,0.0000011097449,0.0000033408041,0.0000046851515,0.00009915354],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99899364,0.00015749759,0.0003388605,0.00007708008,0.00029918295,0.00013375588],"domain_scores_gemma":[0.9992374,0.00014249369,0.0002481812,0.000049377904,0.00023924446,0.00008325877],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014180911,0.000059987466,0.00010615339,0.00006923253,0.0002833692,0.00015212262,0.00008664636,0.00005265238,0.00009524885],"category_scores_gemma":[0.00014740028,0.000041699368,0.00006724242,0.00021935883,0.00012584512,0.0015583291,2.6229995e-7,0.00018286427,4.3167918e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016876455,0.000058147594,0.9650023,0.000013567772,0.000027470007,0.0000085547945,0.01691964,0.000024900213,0.00016759604,0.006088301,0.00005291656,0.011619749],"study_design_scores_gemma":[0.00038516178,0.000034333192,0.9630688,0.000022152282,0.000053618623,0.0000034445688,0.0069513354,0.00000913682,0.00012473941,0.00094908546,0.028326254,0.0000719693],"about_ca_topic_score_codex":0.000376787,"about_ca_topic_score_gemma":0.0074592233,"teacher_disagreement_score":0.028273338,"about_ca_system_score_codex":0.00003092369,"about_ca_system_score_gemma":0.00012039881,"threshold_uncertainty_score":0.41624218},"labels":[],"label_agreement":null},{"id":"W2039757745","doi":"10.1016/j.ypmed.2012.06.008","title":"The importance of Active Transportation to and from school for daily physical activity among children","year":2012,"lang":"en","type":"article","venue":"Preventive Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":44,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Canadian Institutes of Health Research; Canada Research Chairs","keywords":"Medicine; Physical activity; Multilevel model; Active living; Environmental health; Rural area; Regression analysis; Population; Gerontology; Demography; Physical therapy; Statistics","score_opus":0.017536797633893382,"score_gpt":0.33050373043694664,"score_spread":0.31296693280305327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039757745","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958869,0.00019517874,0.0018830221,0.00071264384,0.00010495817,0.00078710937,0.00007474924,0.000013014814,0.0003424221],"genre_scores_gemma":[0.999127,0.00001695261,0.00007356894,0.000022653649,0.0005029024,0.000055146465,0.000023400984,0.0000053211807,0.00017309941],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991937,0.00010284947,0.0001269228,0.000162249,0.00021916883,0.00019506307],"domain_scores_gemma":[0.99924254,0.00029427203,0.00012973453,0.0001081839,0.00007102379,0.00015422907],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006956549,0.000079135694,0.00018160156,0.000016393224,0.00022605936,0.0000059078584,0.00011981164,0.00003246617,0.00004089385],"category_scores_gemma":[0.00020197676,0.00005175169,0.000048209193,0.00012588737,0.000413577,0.0003327155,0.00000499422,0.00007976268,6.8154617e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006746153,0.000082490646,0.966376,0.0000051258407,0.000039622122,4.5521695e-8,0.014177368,8.313329e-8,0.00054129225,0.00025846684,0.000094981304,0.018357053],"study_design_scores_gemma":[0.00035086944,0.000045219727,0.9936934,0.000029586445,0.00008414411,4.936246e-9,0.0015432532,0.0000024835626,0.0017496796,0.002257606,0.00018613272,0.00005759573],"about_ca_topic_score_codex":0.002813492,"about_ca_topic_score_gemma":0.0055086026,"teacher_disagreement_score":0.027317416,"about_ca_system_score_codex":0.000027200129,"about_ca_system_score_gemma":0.00003203329,"threshold_uncertainty_score":0.4253177},"labels":[],"label_agreement":null},{"id":"W2039785212","doi":"10.4081/gh.2014.5","title":"Building obesity in Canada: understanding the individual- and neighbourhood-level determinants using a multi-level approach","year":2014,"lang":"en","type":"article","venue":"Geospatial health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University; University of Waterloo","funders":"","keywords":"Neighbourhood (mathematics); Geography; Obesity; Walkability; Environmental health; Physical geography; Built environment; Ecology; Medicine; Biology; Mathematics","score_opus":0.19522267385257058,"score_gpt":0.3448124007607659,"score_spread":0.14958972690819533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039785212","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8996696,0.000112298454,0.099001236,0.00039870455,0.00020797776,0.00040184826,0.000049510953,0.000016257027,0.00014258536],"genre_scores_gemma":[0.9930859,0.000013471354,0.0063175135,0.00042252807,0.0001279391,0.0000053718372,0.000003902365,0.000010396193,0.000012985008],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978319,0.00037761123,0.00036231102,0.0003389707,0.00043402187,0.00065521727],"domain_scores_gemma":[0.99922884,0.0001614375,0.00019467805,0.00017125266,0.000025987329,0.00021781951],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022024643,0.0001433012,0.00028291804,0.000055219414,0.0012742472,0.00007907752,0.00029174561,0.00007535156,0.00001077013],"category_scores_gemma":[0.00009834793,0.00011669134,0.000028609715,0.00028947287,0.00016742703,0.00019288337,0.00005856379,0.0002583883,2.2662128e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006937114,0.00004216218,0.9750568,0.000055199784,0.0000042400834,0.0000014346798,0.007048986,0.00003839187,0.0000015520911,0.0014819226,0.000008494123,0.01625386],"study_design_scores_gemma":[0.0004031455,0.000014056439,0.983227,0.000050815743,0.000007968171,5.955929e-7,0.0038867812,0.011074848,0.000002858192,0.001144191,0.00004191344,0.00014581172],"about_ca_topic_score_codex":0.9908025,"about_ca_topic_score_gemma":0.99818265,"teacher_disagreement_score":0.09341631,"about_ca_system_score_codex":0.0012495947,"about_ca_system_score_gemma":0.002800015,"threshold_uncertainty_score":0.9800608},"labels":[],"label_agreement":null},{"id":"W2039856017","doi":"10.3138/x204-4223-57mk-8273","title":"Protection of Geoprivacy and Accuracy of Spatial Information: How Effective Are Geographical Masks?","year":2004,"lang":"en","type":"article","venue":"Cartographica The International Journal for Geographic Information and Geovisualization","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":175,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Ohio Department of Health","keywords":"Geospatial analysis; Georeference; Confidentiality; Computer science; Geography; Context (archaeology); Spatial analysis; Data set; Data science; Data mining; Cartography; Computer security; Remote sensing; Physical geography; Artificial intelligence","score_opus":0.01217730841296565,"score_gpt":0.29243608309702507,"score_spread":0.2802587746840594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039856017","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9009512,0.00019925265,0.09095972,0.005630211,0.00074805436,0.0012639535,0.000085685664,0.00003768997,0.00012424379],"genre_scores_gemma":[0.99850553,0.0008279479,0.00014166243,0.00021952826,0.00014768132,0.00006292436,0.000086757005,0.0000049724918,0.0000029913945],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99819577,0.00009361886,0.0006684224,0.000106568325,0.00074256404,0.00019308427],"domain_scores_gemma":[0.99655265,0.00015897574,0.0011674598,0.000119924465,0.0018956786,0.000105301835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013283234,0.00015045205,0.00021341511,0.0007819675,0.00065399375,0.00036940494,0.00031919908,0.00016058343,0.0000123234995],"category_scores_gemma":[0.000817004,0.00011802282,0.00020291221,0.0005857602,0.0006376233,0.003129621,0.000046807847,0.00021223618,3.3016866e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012442702,0.00024826502,0.6672719,0.0004980318,0.00077262335,0.0000010839713,0.028237298,0.0004832138,0.00022122695,0.12449184,0.00012439193,0.17640585],"study_design_scores_gemma":[0.004461879,0.0004421898,0.8972243,0.0003611493,0.00022036258,0.000031223255,0.0099029895,0.001062066,0.00085967954,0.045132287,0.039899144,0.00040273272],"about_ca_topic_score_codex":0.0017482028,"about_ca_topic_score_gemma":0.0007655576,"teacher_disagreement_score":0.2299524,"about_ca_system_score_codex":0.000029060126,"about_ca_system_score_gemma":0.00011567769,"threshold_uncertainty_score":0.5030057},"labels":[],"label_agreement":null},{"id":"W2039873100","doi":"10.2298/gsgd1303035j","title":"The challenges of the urban transport strategy of Belgrade","year":2013,"lang":"en","type":"article","venue":"Glasnik srpskog geografskog drustva","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja","keywords":"Public transport; Transport engineering; Pedestrian; Private transport; Transport system; Passenger transport; City centre; Personal mobility; Business; Transport network; Geography; Engineering; Civil engineering; Telecommunications","score_opus":0.01873351147835653,"score_gpt":0.2570443076955562,"score_spread":0.23831079621719967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039873100","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9494897,0.0047472096,0.000006288271,0.0042531467,0.0005099103,0.0008717938,0.000029933952,0.00007251499,0.04001948],"genre_scores_gemma":[0.99758,0.0006833915,0.000035411907,0.000039633946,0.00020361178,0.000057432386,0.0000033864749,0.000019060222,0.0013781051],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971781,0.00024305766,0.00069887127,0.00036198515,0.0008863315,0.0006316917],"domain_scores_gemma":[0.9981057,0.00023872765,0.00038362373,0.0008097722,0.00030584965,0.000156347],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000993038,0.00023272033,0.00037302138,0.000054200857,0.0007808528,0.000045738663,0.0014714826,0.00020928071,0.00030870014],"category_scores_gemma":[0.00007220599,0.000137464,0.0004022647,0.0005826693,0.002018251,0.0003311116,0.000046175966,0.00031165162,0.00002015418],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003603382,0.00035752755,0.88664347,0.00012266742,0.00014584827,0.0000017237046,0.0131059205,0.00002682904,0.00034174023,0.060702674,0.0016495276,0.036866043],"study_design_scores_gemma":[0.00031359543,0.00005245299,0.96423244,0.00005298351,0.000070810194,2.1411088e-7,0.0074398257,0.000010019005,0.00087775924,0.009001432,0.017741524,0.00020695929],"about_ca_topic_score_codex":0.011543057,"about_ca_topic_score_gemma":0.01199245,"teacher_disagreement_score":0.07758895,"about_ca_system_score_codex":0.000033418943,"about_ca_system_score_gemma":0.00028252738,"threshold_uncertainty_score":0.99503917},"labels":[],"label_agreement":null},{"id":"W2040137354","doi":"10.1186/1479-5868-7-57","title":"A longitudinal and cross-sectional examination of the relationship between reasons for choosing a neighbourhood, physical activity and body mass index","year":2010,"lang":"en","type":"article","venue":"International Journal of Behavioral Nutrition and Physical Activity","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":64,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alberta Health Services; Dalhousie University; University of Alberta","funders":"Canadian Institutes of Health Research; Fondation pour la Recherche Médicale; Canada Research Chairs; Heart and Stroke Foundation of Canada","keywords":"Walkability; Neighbourhood (mathematics); Body mass index; Socioeconomic status; Cross-sectional study; Longitudinal study; Demography; Recreation; Built environment; Overweight; Level design; Gerontology; Psychology; Geography; Physical activity; Environmental health; Medicine; Population; Sociology; Physical therapy","score_opus":0.07554090453787123,"score_gpt":0.4047706299420885,"score_spread":0.3292297254042173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2040137354","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99816495,0.0000059789927,0.00056958984,0.00066613615,0.00023916461,0.00020232378,0.00010879926,0.00000701375,0.00003606895],"genre_scores_gemma":[0.99898994,0.000003583312,0.00009317465,0.0000041029275,0.000875142,0.000008297141,0.000004376795,0.000005736875,0.00001565923],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99896646,0.00010342944,0.00015846397,0.00017166586,0.00048668808,0.00011328524],"domain_scores_gemma":[0.998549,0.0005579,0.00034508912,0.00006037446,0.0003838864,0.000103737344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004094669,0.000100057565,0.00019334127,0.00007288625,0.00031591798,0.000148502,0.00014429448,0.000097426404,0.000005744088],"category_scores_gemma":[0.00014472388,0.00008166661,0.00013567919,0.00010575464,0.00052507524,0.000932251,0.000029423853,0.0004375615,7.9568004e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015446036,0.00087901857,0.97602606,0.000017198017,0.000017748554,6.939974e-7,0.00048679727,3.298142e-7,0.012032943,0.0014455176,0.0000016917162,0.008937562],"study_design_scores_gemma":[0.00090493995,0.00007866211,0.99021184,0.000037620386,0.00005157728,0.0000039931347,0.000059344515,0.00013093826,0.001988714,0.0064192005,0.000030469348,0.00008270421],"about_ca_topic_score_codex":0.0003062469,"about_ca_topic_score_gemma":0.00012386176,"teacher_disagreement_score":0.0141857965,"about_ca_system_score_codex":0.00004956786,"about_ca_system_score_gemma":0.000064004984,"threshold_uncertainty_score":0.33302677},"labels":[],"label_agreement":null},{"id":"W2040358674","doi":"10.1080/02589001.2013.747292","title":"The Gautrain project in South Africa: a cautionary tale","year":2013,"lang":"en","type":"article","venue":"Journal of Contemporary African Studies","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mount Allison University","funders":"","keywords":"Megaproject; Politics; Plan (archaeology); Project management; Business; Political science; Economics; Public administration; Law; Management","score_opus":0.08222533406502462,"score_gpt":0.33009592795604376,"score_spread":0.24787059389101912,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2040358674","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8927361,0.036781378,0.000015740348,0.010349408,0.0005022652,0.0006445005,0.000008538845,0.000025867806,0.058936227],"genre_scores_gemma":[0.997174,0.0002227096,0.00006954458,0.000063163185,0.00025626327,0.000028457443,2.7848833e-7,0.000006308279,0.0021792785],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9981336,0.0003403159,0.0006447828,0.00012649913,0.00046877316,0.0002860402],"domain_scores_gemma":[0.9984636,0.0004906402,0.00047411778,0.00011958153,0.00037642044,0.00007569637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019022847,0.00011924309,0.00034209705,0.00012476073,0.0005422878,0.00008061011,0.00037173516,0.00004517289,0.000020609816],"category_scores_gemma":[0.00042498545,0.00007050604,0.00015025465,0.00051904045,0.0008082595,0.000694163,0.000035188063,0.0002620674,0.000006069266],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020296026,0.00028788028,0.44927347,0.000038012255,0.00036504221,0.000139475,0.47231424,0.0000024768863,0.0000664786,0.002191246,0.07306855,0.00205017],"study_design_scores_gemma":[0.00087050727,0.00022127223,0.22207585,0.00011822455,0.000032282856,0.0000016522735,0.6262276,0.000005379617,0.000015617816,0.018956406,0.1312219,0.0002532707],"about_ca_topic_score_codex":0.0004258568,"about_ca_topic_score_gemma":0.00052067323,"teacher_disagreement_score":0.22719762,"about_ca_system_score_codex":0.00010977772,"about_ca_system_score_gemma":0.0006763036,"threshold_uncertainty_score":0.41708937},"labels":[],"label_agreement":null},{"id":"W2040478829","doi":"10.1007/s12469-013-0075-7","title":"Driving transit retention to renaissance: trends in Montreal commute public transport mode share and factors by age group and birth cohort","year":2013,"lang":"en","type":"article","venue":"Public Transport","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Public transport; Demographic economics; Mode choice; Socioeconomic status; Demography; Business; Economics; Transport engineering; Engineering; Sociology; Population","score_opus":0.027038920023849333,"score_gpt":0.2625201409360871,"score_spread":0.23548122091223778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2040478829","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9891636,0.00029649478,0.00061923143,0.0031675412,0.00012213092,0.00086246495,0.0003214492,0.00026400597,0.005183114],"genre_scores_gemma":[0.9968484,0.00019701738,0.00011265501,0.00014206718,0.00006199178,0.00017659095,0.0013409731,0.00004476278,0.0010755298],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9963851,0.00012528464,0.0007652635,0.00096933066,0.0007195515,0.001035492],"domain_scores_gemma":[0.99844295,0.000052012434,0.000120793506,0.0003914958,0.00008476024,0.0009080064],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00085737853,0.0004267808,0.0006468486,0.0004883288,0.0005599027,0.0002709305,0.00050494086,0.00033298827,0.0011144876],"category_scores_gemma":[0.000014964818,0.0004125976,0.00016956872,0.0012390702,0.00047744843,0.002638284,0.000011774463,0.00043260062,0.0000030644635],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017853396,0.000186748,0.9801772,0.000045840712,0.000038281596,0.00001705538,0.0080708135,0.000001760888,0.00021214026,0.0003142434,0.00043932206,0.010478688],"study_design_scores_gemma":[0.0007498733,0.000052539453,0.9880232,0.00004197671,0.000043264983,6.293299e-7,0.0010757886,0.00004494122,0.0000132647365,0.00033607706,0.0091385115,0.00047993028],"about_ca_topic_score_codex":0.063252285,"about_ca_topic_score_gemma":0.39156312,"teacher_disagreement_score":0.32831082,"about_ca_system_score_codex":0.00011656219,"about_ca_system_score_gemma":0.00006736289,"threshold_uncertainty_score":0.9998326},"labels":[],"label_agreement":null},{"id":"W2040537164","doi":"10.1136/jech.2011.142976b.43","title":"O5-2.1 Is it where you live or who you are that is important? An analysis of neighbourhood environments, self-reported physical activity and overweight / obesity in Canada's capital","year":2011,"lang":"en","type":"article","venue":"Journal of Epidemiology & Community Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ottawa Public Health; Statistics Canada; Institute of Population and Public Health; Children's Hospital of Eastern Ontario; University of Ottawa","funders":"","keywords":"Overweight; Neighbourhood (mathematics); Odds; Obesity; Medicine; Demography; Body mass index; Multilevel model; Gerontology; Population; Environmental health; Statistics; Logistic regression; Mathematics","score_opus":0.09710059247798156,"score_gpt":0.3616796026392314,"score_spread":0.26457901016124985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2040537164","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954847,0.0007262478,0.00004199248,0.0031502626,0.000089732064,0.00020244997,0.00014774065,0.000006955384,0.00014988321],"genre_scores_gemma":[0.9949032,0.0033680797,0.00023162183,0.0013864607,0.000058282454,0.0000018272742,0.000009486378,0.000010285129,0.000030742725],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9928024,0.004519112,0.0013328727,0.00032291492,0.00040693974,0.00061580096],"domain_scores_gemma":[0.99380946,0.0013452072,0.003383076,0.0007292461,0.00010836224,0.00062463304],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0067502707,0.00025704186,0.0019007003,0.00020749595,0.00060227147,0.0000093337685,0.0006448119,0.00022014476,0.0005296142],"category_scores_gemma":[0.0005531814,0.0002051785,0.00028100796,0.00045066077,0.00046641356,0.0005871464,0.00009129506,0.0014638252,4.4102384e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016010403,0.0014089148,0.9477272,0.00004904372,0.0007380129,0.00002581179,0.04907227,0.0000031271038,0.0000041346107,0.000034206594,0.00021325113,0.0005639332],"study_design_scores_gemma":[0.00035332429,0.00034664889,0.9730344,0.00006701712,0.0005359303,0.0000034374084,0.024316728,0.0002519809,0.00002176733,0.00072167837,0.00018356359,0.0001635352],"about_ca_topic_score_codex":0.979272,"about_ca_topic_score_gemma":0.9948188,"teacher_disagreement_score":0.025307199,"about_ca_system_score_codex":0.0010899984,"about_ca_system_score_gemma":0.0026969411,"threshold_uncertainty_score":0.83669364},"labels":[],"label_agreement":null},{"id":"W2041267197","doi":"10.1007/s12469-010-0030-9","title":"Limited-stop bus service: an evaluation of an implementation strategy","year":2010,"lang":"en","type":"article","venue":"Public Transport","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":60,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministère des Transports; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Service (business); Transport engineering; Automotive engineering; Engineering; Business; Marketing","score_opus":0.08684573505101695,"score_gpt":0.3978265381883789,"score_spread":0.3109808031373619,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041267197","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9920757,0.000014923139,0.000057749363,0.0007591348,0.0002899126,0.00049471797,0.00006694651,0.00011525825,0.0061256755],"genre_scores_gemma":[0.998598,0.0000035795235,0.00022031824,0.000083026796,0.00021472793,0.00003822998,0.0008023081,0.000012629122,0.00002719359],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977814,0.00015415328,0.0004033233,0.00033126367,0.001004334,0.00032554413],"domain_scores_gemma":[0.9983611,0.000015518224,0.00014991165,0.00035025115,0.0008708685,0.0002523382],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0032214967,0.000118692005,0.00015669496,0.00010680948,0.00026459573,0.00006579845,0.0004035298,0.00015168707,0.0038168775],"category_scores_gemma":[0.000013163131,0.00012012876,0.000058927486,0.0005838269,0.000139967,0.002157184,0.000002570361,0.00018322459,0.0000048070187],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020930127,0.00046214784,0.8562349,0.000026114412,0.00001960352,0.0000012428501,0.012081149,0.000018212917,0.003475877,0.007831093,0.000009743603,0.119819],"study_design_scores_gemma":[0.00059916027,0.00005441317,0.98837227,0.0000020725158,0.0000846017,1.7697116e-7,0.005219691,0.00020951711,0.00068918196,0.002308528,0.0023090201,0.00015137797],"about_ca_topic_score_codex":0.014021694,"about_ca_topic_score_gemma":0.4106057,"teacher_disagreement_score":0.396584,"about_ca_system_score_codex":0.000038152815,"about_ca_system_score_gemma":0.00096827367,"threshold_uncertainty_score":0.9970938},"labels":[],"label_agreement":null},{"id":"W2041480341","doi":"10.1016/j.healthplace.2013.03.011","title":"Factors influencing whether children walk to school","year":2013,"lang":"en","type":"article","venue":"Health & Place","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":105,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Environmental Health Sciences; National Institutes of Health; National Cancer Institute; Robert Wood Johnson Foundation; Harvard Transdisciplinary Research in Energetics and Cancer Center, Harvard University; U.S. Environmental Protection Agency","keywords":"Disadvantaged; Socioeconomic status; Logistic regression; Psychological intervention; Psychology; Cohort; Regression analysis; Demography; Geography; Medicine; Sociology; Population; Statistics; Mathematics; Economic growth","score_opus":0.0289517015728519,"score_gpt":0.32708542215377673,"score_spread":0.2981337205809248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041480341","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9876037,0.00016562948,0.000047654496,0.006958885,0.0001794116,0.00074665004,0.0000067675146,0.00013513102,0.0041561257],"genre_scores_gemma":[0.9937224,0.000012178975,0.00023164107,0.003437311,0.00022593648,0.000022122882,0.0000058218743,0.000011166665,0.0023314273],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99853355,0.00012188217,0.00024494526,0.0002634514,0.00030889828,0.0005272883],"domain_scores_gemma":[0.99894315,0.00006399674,0.00007825148,0.00020324579,0.0000603922,0.0006509353],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00053065585,0.000109550114,0.00017257516,0.00005080177,0.0005463578,0.000093915594,0.0002593144,0.00007710839,0.0026650967],"category_scores_gemma":[0.00012255926,0.000091485,0.000044586937,0.00027264704,0.000057984376,0.00040292484,0.000019010895,0.00018180106,0.000646049],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000026292657,0.000020254734,0.97639805,0.000009935465,0.00000384331,1.1774423e-7,0.011117683,0.0000044520325,0.0000113487,0.00007553888,0.010623106,0.0017330275],"study_design_scores_gemma":[0.00008582092,0.000023478537,0.9808315,0.000021676706,0.0000018683771,3.219679e-8,0.0016851306,0.00000156942,0.00002037759,0.00017815673,0.017039578,0.000110816414],"about_ca_topic_score_codex":0.09938999,"about_ca_topic_score_gemma":0.013064912,"teacher_disagreement_score":0.08632509,"about_ca_system_score_codex":0.00026007116,"about_ca_system_score_gemma":0.00054927607,"threshold_uncertainty_score":0.9982466},"labels":[],"label_agreement":null},{"id":"W2041698327","doi":"10.3141/2415-12","title":"Dissecting the Role of Transit Service Attributes in Attracting Commuters","year":2014,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University of British Columbia, Okanagan Campus","funders":"","keywords":"Transport engineering; Transit (satellite); Mode choice; Revealed preference; Service (business); Public transport; Mode (computer interface); TRIPS architecture; Preference; Level of service; Travel behavior; Choice set; Computer science; Business; Engineering; Econometrics; Marketing; Economics; Microeconomics","score_opus":0.09894497457804587,"score_gpt":0.408514295525271,"score_spread":0.30956932094722517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041698327","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98876595,0.00028716627,0.0004411442,0.008346662,0.00035402324,0.00082939526,0.000027506465,0.000019933897,0.00092823117],"genre_scores_gemma":[0.9989122,0.00025000353,0.00032302094,0.000051709147,0.00024904442,0.000031415264,0.000009671531,0.000031574313,0.00014134395],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99070716,0.002657139,0.0016400875,0.00034340052,0.0036796513,0.0009725407],"domain_scores_gemma":[0.9908242,0.0037529406,0.0006229659,0.00048765354,0.004035602,0.0002766063],"candidate_categories":["sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.015551707,0.00020652592,0.00049540936,0.00059714867,0.0013406925,0.00013835361,0.0019238825,0.00020548928,0.00020220046],"category_scores_gemma":[0.000614315,0.00014235787,0.00037559384,0.0035912513,0.0010702296,0.0009091257,0.0000064322594,0.002607032,0.0000052706455],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00053957227,0.00021881924,0.95855075,0.00014992678,0.000054673616,0.000009107471,0.025073983,0.0010714078,0.0025754543,0.0040036123,0.000093650706,0.0076590315],"study_design_scores_gemma":[0.000810861,0.00014951448,0.94934803,0.00038623414,0.00003739031,6.454677e-8,0.028251963,0.00015745168,0.0020995338,0.008445197,0.010169399,0.00014435247],"about_ca_topic_score_codex":0.11325104,"about_ca_topic_score_gemma":0.59315705,"teacher_disagreement_score":0.47990602,"about_ca_system_score_codex":0.00020258706,"about_ca_system_score_gemma":0.00058840937,"threshold_uncertainty_score":0.9999594},"labels":[],"label_agreement":null},{"id":"W2041729299","doi":"10.3141/2264-09","title":"Modeling of Pedestrian Activity at Signalized Intersections: Land Use, Urban Form, Weather, and Spatiotemporal Patterns","year":2011,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies; U.S. Department of Transportation","keywords":"Pedestrian; Downtown; Intersection (aeronautics); Noon; Geography; Environmental science; Sample (material); Land use; Transport engineering; Statistics; Meteorology; Cartography; Mathematics; Atmospheric sciences; Engineering; Civil engineering","score_opus":0.2041147037367998,"score_gpt":0.3987092442209131,"score_spread":0.1945945404841133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041729299","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952933,0.00013380653,0.0026019872,0.00047882172,0.000276936,0.0008828174,0.00008401105,0.000023891824,0.00022442911],"genre_scores_gemma":[0.99798846,0.0009322207,0.00042766528,0.000010155635,0.00012410757,0.000031049018,0.000009877361,0.000032849843,0.00044358452],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99387,0.0013703044,0.0011405698,0.00038124484,0.0024934507,0.000744415],"domain_scores_gemma":[0.99587816,0.0005779065,0.00046305222,0.00034637027,0.0023078113,0.00042669036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0049116216,0.00021052544,0.00046479746,0.00066749327,0.0010031746,0.00010356218,0.00071793376,0.0002279216,0.00052823056],"category_scores_gemma":[0.0001754314,0.00016491111,0.00035339352,0.0011058294,0.0009550037,0.0015019176,0.000009500516,0.0012653505,0.0000023075338],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024348847,0.00024547146,0.9737586,0.00016704867,0.00009514721,0.00002299892,0.021040218,0.00006148674,0.00055048335,0.00020179368,0.00011042573,0.0013114451],"study_design_scores_gemma":[0.0012655023,0.000364252,0.98998237,0.0002773801,0.00006321103,1.1926659e-7,0.0035130535,0.00028260815,0.0009495641,0.002535704,0.00060312724,0.00016312378],"about_ca_topic_score_codex":0.35897583,"about_ca_topic_score_gemma":0.733554,"teacher_disagreement_score":0.3745782,"about_ca_system_score_codex":0.00024495838,"about_ca_system_score_gemma":0.0006310957,"threshold_uncertainty_score":0.771571},"labels":[],"label_agreement":null},{"id":"W2041818268","doi":"10.1136/bmj.38567.382731.ae","title":"The broader impact of walking to school among adolescents: seven day accelerometry based study","year":2005,"lang":"en","type":"article","venue":"BMJ","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":146,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Child, Adolescent and Family Mental Health","funders":"British Heart Foundation; Wellcome Trust","keywords":"Accelerometer; Physical activity; Bathing; Bedtime; Actigraphy; Psychology; Physical therapy; Medicine; Computer science; Circadian rhythm","score_opus":0.02759733200200357,"score_gpt":0.36483487859105035,"score_spread":0.33723754658904675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041818268","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957752,0.000042954718,0.000075215816,0.00059978873,0.000106356005,0.00088176446,0.000005266046,0.000039688108,0.0024737546],"genre_scores_gemma":[0.9988926,9.735504e-7,0.000072943,0.00009758321,0.00041642497,0.00002080072,0.0000010911657,0.000008755287,0.00048883824],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984821,0.00021775637,0.00031088505,0.00020359267,0.00047407273,0.00031157627],"domain_scores_gemma":[0.9991951,0.00009017813,0.00011673329,0.0003291075,0.00008993745,0.00017892652],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017879953,0.00009860455,0.00015112678,0.000061880535,0.00037637958,0.00009897669,0.000505879,0.000053829524,0.00045357083],"category_scores_gemma":[0.0003412863,0.00006568416,0.00012805809,0.0005322435,0.00009339351,0.00029209745,0.000030149722,0.00013694754,0.000032338376],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025169744,0.0002119756,0.9879555,0.0000037761106,0.000020912245,9.797272e-7,0.0029319094,0.000049656464,0.00004607708,0.0000020545094,0.0018050701,0.0069469097],"study_design_scores_gemma":[0.00026991314,0.00004255726,0.9964498,0.00003624479,0.000015181296,9.917791e-9,0.0022778888,0.000022625798,0.00004515233,0.000016594262,0.0007299193,0.00009407598],"about_ca_topic_score_codex":0.0031614478,"about_ca_topic_score_gemma":0.009364533,"teacher_disagreement_score":0.008494328,"about_ca_system_score_codex":0.00015286036,"about_ca_system_score_gemma":0.00021814366,"threshold_uncertainty_score":0.5225629},"labels":[],"label_agreement":null},{"id":"W2041855438","doi":"10.3141/2387-10","title":"Public Bikesharing in North America","year":2013,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":208,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Public transport; Position (finance); Transport engineering; Public access; Business; Geography; Engineering; Political science; Public administration; Finance","score_opus":0.16698581011268368,"score_gpt":0.40598377887809994,"score_spread":0.23899796876541626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041855438","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98555106,0.0001990128,0.00024227948,0.010641886,0.00041898878,0.0013276563,0.00002592905,0.00003521334,0.0015579644],"genre_scores_gemma":[0.99711716,0.00078475947,0.00065509765,0.000080884405,0.00025485142,0.00012681937,0.000017597178,0.000037208527,0.00092563266],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9900581,0.0018880958,0.001565457,0.0004628522,0.004574772,0.0014507228],"domain_scores_gemma":[0.9931534,0.0010015058,0.0004352308,0.0004841975,0.004279796,0.00064589427],"candidate_categories":["research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0049700444,0.00022388139,0.00046533023,0.0014012137,0.0011488183,0.00039691996,0.001952934,0.0002030717,0.002260726],"category_scores_gemma":[0.0004355883,0.00017423776,0.00037409394,0.0057848236,0.0015869306,0.002223849,0.000007943076,0.0027125767,0.00010159237],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014468012,0.00026660349,0.97361976,0.000070498376,0.000037545564,0.000051355193,0.0092829475,0.00011059136,0.00020899934,0.0010686517,0.002192119,0.01294626],"study_design_scores_gemma":[0.0007510691,0.00014291225,0.9579061,0.000108486565,0.000012509882,3.2929982e-8,0.0070113107,0.000033008506,0.000055553024,0.0039288425,0.029877359,0.00017279503],"about_ca_topic_score_codex":0.15429316,"about_ca_topic_score_gemma":0.71468866,"teacher_disagreement_score":0.5603955,"about_ca_system_score_codex":0.00044721956,"about_ca_system_score_gemma":0.0013796758,"threshold_uncertainty_score":0.9995882},"labels":[],"label_agreement":null},{"id":"W2042106324","doi":"10.1007/s10109-008-0063-7","title":"Open source, spatial analysis, and activity-travel behaviour research: capabilities of the aspace package","year":2008,"lang":"en","type":"article","venue":"Journal of Geographical Systems","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":59,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; University of Toronto","funders":"University of Toronto; U.S. Department of Transportation","keywords":"Visualization; Open source; Computer science; Geography; Data science; Spatial analysis; Space (punctuation); Orientation (vector space); Convergence (economics); Cartography; Data mining; Remote sensing; Mathematics; Software","score_opus":0.06536904588683859,"score_gpt":0.34790560828828365,"score_spread":0.2825365624014451,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042106324","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996736,0.00041160118,0.0004602088,0.0008372514,0.00021820611,0.0003415002,0.000015823534,0.00000488364,0.0009745572],"genre_scores_gemma":[0.9991034,0.00012584409,0.000019135094,0.000007291542,0.00022419174,0.0000042727643,4.4387255e-7,0.0000066699254,0.0005087068],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9962747,0.0012937501,0.0005565794,0.00019576051,0.0013570052,0.00032217443],"domain_scores_gemma":[0.99796736,0.00042900458,0.00050964643,0.00029209728,0.00056966074,0.0002322242],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005158572,0.00010559513,0.00055258704,0.00032862037,0.00082084595,0.00016245597,0.0009766371,0.00015892992,0.000042997603],"category_scores_gemma":[0.00030424955,0.0000664514,0.00037451374,0.0016874042,0.0018796163,0.00037174756,0.00013146432,0.0006002384,3.7171952e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005631065,0.0001612678,0.9951918,0.000023043462,0.00016212657,0.0000075573985,0.0037069577,0.000006005678,0.00019547186,0.00023822604,0.00009985128,0.00015137836],"study_design_scores_gemma":[0.0002673628,0.00009813499,0.99362075,0.00005225585,0.00017190514,0.000005906845,0.0045832917,0.000014191025,0.00014528855,0.00024544564,0.00071649335,0.000078961384],"about_ca_topic_score_codex":0.10671628,"about_ca_topic_score_gemma":0.023086768,"teacher_disagreement_score":0.08362952,"about_ca_system_score_codex":0.00004319027,"about_ca_system_score_gemma":0.00027669853,"threshold_uncertainty_score":0.99473935},"labels":[],"label_agreement":null},{"id":"W2042163134","doi":"10.1016/j.trf.2012.12.004","title":"Uniquely satisfied: Exploring cyclist satisfaction","year":2013,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":82,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Cycling; TRIPS architecture; Transport engineering; Intersection (aeronautics); Travel behavior; Mode (computer interface); Psychology; Applied psychology; Geography; Engineering; Computer science","score_opus":0.19182013646726148,"score_gpt":0.4388859418706435,"score_spread":0.24706580540338202,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042163134","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9938817,0.00014838668,0.000048839473,0.002679349,0.0003643605,0.00065405515,0.000021637085,0.00018178148,0.0020198862],"genre_scores_gemma":[0.9977971,0.00072910415,0.0001855497,0.00010756991,0.00010848937,0.0003917633,0.0000605919,0.000015436877,0.000604451],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976045,0.00038152252,0.0003845446,0.0004959609,0.0005300257,0.000603432],"domain_scores_gemma":[0.99902946,0.00014564283,0.00006409626,0.00021931002,0.00024628176,0.0002952206],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012390753,0.00014160034,0.00018903031,0.00019842196,0.0009413994,0.00010047479,0.00018447413,0.00022211696,0.0022838886],"category_scores_gemma":[0.000026754675,0.00014166767,0.000062735664,0.00045832136,0.0008452738,0.0008402496,0.0000028431566,0.000562496,0.000109845685],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003367993,0.00012767046,0.93953055,0.000014735409,0.0000116149795,0.000013233203,0.0045500346,0.000004930561,0.00018268057,0.001818035,0.0028569868,0.050855853],"study_design_scores_gemma":[0.00039098534,0.00006709015,0.9913148,0.000020208758,0.000016054328,2.8679764e-7,0.001974357,0.0000029968376,0.000028852062,0.0011526569,0.004879324,0.00015237932],"about_ca_topic_score_codex":0.009480917,"about_ca_topic_score_gemma":0.042714234,"teacher_disagreement_score":0.051784262,"about_ca_system_score_codex":0.00003253905,"about_ca_system_score_gemma":0.00008855472,"threshold_uncertainty_score":0.99862814},"labels":[],"label_agreement":null},{"id":"W2043179846","doi":"10.1016/j.jtrangeo.2014.01.013","title":"How land-use and urban form impact bicycle flows: evidence from the bicycle-sharing system (BIXI) in Montreal","year":2014,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":483,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"TRIPS architecture; Bike sharing; Transport engineering; Land use; Business; Engineering; Civil engineering","score_opus":0.02236905008073411,"score_gpt":0.2628673021306734,"score_spread":0.24049825204993927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2043179846","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99652386,0.0016052086,0.00038930544,0.0008242643,0.00023655043,0.00021890426,0.00003490011,0.000030325653,0.00013667224],"genre_scores_gemma":[0.99895644,0.0002909578,0.00017579937,0.000042457534,0.0004960648,0.0000038129942,0.000004796733,0.000013515751,0.000016146456],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979642,0.00012760737,0.00058792357,0.0002786658,0.0006171521,0.0004244493],"domain_scores_gemma":[0.9985321,0.00039046982,0.00038128163,0.00028260576,0.00014884536,0.00026468377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018874415,0.00020821889,0.00045774717,0.0002284397,0.0003217262,0.00030836105,0.00062588445,0.00013841949,0.000020181871],"category_scores_gemma":[0.000074474796,0.00013154284,0.00045200725,0.00056834286,0.00021596742,0.00195619,0.000011274208,0.0004015569,6.410866e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001471691,0.000047830203,0.9938382,0.00002857069,0.000067438545,0.000031585012,0.0044256914,0.000034814802,0.000047786198,0.000012854483,0.000032120253,0.0012859745],"study_design_scores_gemma":[0.0005822055,0.000081144906,0.9964056,0.0005024665,0.00012811259,0.000002304709,0.0010626469,0.00016062586,0.000014711142,0.00050934794,0.00038986705,0.00016099335],"about_ca_topic_score_codex":0.049375277,"about_ca_topic_score_gemma":0.08205965,"teacher_disagreement_score":0.032684375,"about_ca_system_score_codex":0.000062281404,"about_ca_system_score_gemma":0.00007266466,"threshold_uncertainty_score":0.956955},"labels":[],"label_agreement":null},{"id":"W2043604743","doi":"10.1016/j.healthplace.2014.04.001","title":"Subpopulation differences in the association between neighborhood urban form and neighborhood-based physical activity","year":2014,"lang":"en","type":"article","venue":"Health & Place","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":49,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alberta Health Services; University of Calgary","funders":"Canadian Institutes of Health Research","keywords":"Walkability; Environmental health; Built environment; Physical activity; Association (psychology); Gerontology; Demography; Level design; Population; Low income; Geography; Psychology; Medicine; Socioeconomics; Sociology; Physical therapy; Computer science","score_opus":0.032591793892611284,"score_gpt":0.323153955208952,"score_spread":0.2905621613163407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2043604743","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9876618,0.000029522824,0.0006128432,0.009432654,0.00008226737,0.0004060645,0.000010731789,0.00004536516,0.0017187833],"genre_scores_gemma":[0.9990848,0.0000074508666,0.000015703148,0.00034698294,0.00044568774,0.00001812613,0.000017894827,0.000005569201,0.000057826404],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998014,0.000693779,0.0001801106,0.00024956153,0.00047880417,0.00038376352],"domain_scores_gemma":[0.9984011,0.0010816159,0.0002307919,0.00014250264,0.000033638767,0.0001103491],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020747092,0.000110562956,0.00025360458,0.000041252984,0.0005281295,0.00009013639,0.00017311296,0.00011291149,0.000008168209],"category_scores_gemma":[0.00022660049,0.00008329354,0.000043240787,0.00029939317,0.00006728646,0.00031858505,0.000008061038,0.0002738171,0.000003462108],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013045069,0.000111585585,0.98239833,0.00002687284,0.0000028580287,9.0853206e-8,0.006774509,6.7996586e-7,0.0000011867041,0.002164668,0.00009131724,0.008414851],"study_design_scores_gemma":[0.00032625088,0.000078003395,0.99366647,0.000017114673,0.000010926901,1.033467e-8,0.0003289795,0.001410785,0.0000046153364,0.0034531034,0.0006118813,0.00009188188],"about_ca_topic_score_codex":0.0066931564,"about_ca_topic_score_gemma":0.015167185,"teacher_disagreement_score":0.011422991,"about_ca_system_score_codex":0.0002668678,"about_ca_system_score_gemma":0.00021374732,"threshold_uncertainty_score":0.9999214},"labels":[],"label_agreement":null},{"id":"W2043649051","doi":"10.1007/s12469-012-0056-2","title":"Travel mode choice and transit route choice behavior in Montreal: insights from McGill University members commute patterns","year":2012,"lang":"en","type":"article","venue":"Public Transport","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":118,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"McGill University","keywords":"Mode choice; Multinomial logistic regression; Public transport; Metropolitan area; Travel behavior; Transport engineering; Transit (satellite); Mode (computer interface); Business; Marketing; Regional science; Geography; Engineering; Computer science","score_opus":0.032922453755868,"score_gpt":0.27036299510898315,"score_spread":0.23744054135311515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2043649051","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9915564,0.00018863406,0.00019718523,0.0008507741,0.00021071658,0.0004351519,0.0012807475,0.00012207603,0.00515833],"genre_scores_gemma":[0.9987777,0.00012651901,0.0000672799,0.00013632744,0.0001357065,0.00001198587,0.0002563231,0.000021309615,0.0004668863],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99793476,0.00015144766,0.00034314702,0.0004597552,0.00043088375,0.00067998545],"domain_scores_gemma":[0.99883974,0.00013689767,0.00009026496,0.00031167598,0.000060607592,0.0005608045],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002820866,0.0002531146,0.00038234284,0.00016337002,0.0004536676,0.000029466893,0.00048021215,0.0002587997,0.00029805512],"category_scores_gemma":[0.000010340733,0.00026835487,0.00013679116,0.0004386353,0.00022314522,0.0021179297,0.000010950884,0.000360763,0.000004171769],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020056981,0.00040637175,0.9872742,0.000014894577,0.000027083548,0.000016682936,0.0094328,0.000002318594,0.0000476688,0.0003985251,0.0000148698355,0.002344481],"study_design_scores_gemma":[0.0010239274,0.00001105368,0.9772519,0.000015648546,0.0001262826,2.0109353e-7,0.0016036242,0.000017048937,0.000028615244,0.00006955015,0.019535221,0.000316962],"about_ca_topic_score_codex":0.5471283,"about_ca_topic_score_gemma":0.855142,"teacher_disagreement_score":0.30801368,"about_ca_system_score_codex":0.00021799235,"about_ca_system_score_gemma":0.00008451807,"threshold_uncertainty_score":0.9999769},"labels":[],"label_agreement":null},{"id":"W2043721498","doi":"10.1068/a44545","title":"Route Choice Efficiency: An Investigation of Home-To-Work Trips Using GPS Data","year":2013,"lang":"en","type":"article","venue":"Environment and Planning A Economy and Space","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"","keywords":"TRIPS architecture; Schedule; Work (physics); Work schedule; Sample (material); Ordered probit; Global Positioning System; Transport engineering; Probit; Travel behavior; Public transport; Probit model; Estimation; Computer science; Operations research; Geography; Econometrics; Economics; Mathematics; Engineering; Telecommunications","score_opus":0.05287058149281707,"score_gpt":0.273492629053639,"score_spread":0.22062204756082196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2043721498","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976668,0.00034634792,0.0007046665,0.00041573276,0.000041633528,0.0001985917,0.000012400429,0.000012565518,0.000601263],"genre_scores_gemma":[0.9980703,0.00002160317,0.0015298933,0.00006870088,0.00009517056,0.0000034344723,0.00003245134,0.000004108011,0.00017435578],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993092,0.000044990895,0.00014186889,0.00027864682,0.000068856854,0.00015646452],"domain_scores_gemma":[0.99949515,0.000071812574,0.00007725537,0.00019233585,0.000004401129,0.00015907553],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041075156,0.000080583624,0.0001298253,0.00003640392,0.00025388942,0.00007659598,0.00014557524,0.000055526223,0.00008883795],"category_scores_gemma":[0.000012050033,0.00007875059,0.0000101408505,0.00006412035,0.00019355358,0.00062602846,0.000045093184,0.000065003944,0.000004361414],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006513257,0.000011140645,0.9917919,0.000007790608,0.0000052272567,3.0643366e-7,0.0070436336,0.00016947403,0.00005198553,0.000084810876,0.00006798514,0.00075924676],"study_design_scores_gemma":[0.000195574,0.000040973577,0.98725176,0.000030883206,0.000021238258,1.0988082e-7,0.0020288492,0.0013543301,0.000049226408,0.0005555476,0.008308482,0.00016302853],"about_ca_topic_score_codex":0.001956866,"about_ca_topic_score_gemma":0.000082309554,"teacher_disagreement_score":0.008240497,"about_ca_system_score_codex":0.000017646078,"about_ca_system_score_gemma":0.000023360639,"threshold_uncertainty_score":0.3211356},"labels":[],"label_agreement":null},{"id":"W2043732718","doi":"10.1016/j.ypmed.2008.10.017","title":"Active school transport, physical activity levels and body weight of children and youth: A systematic review","year":2008,"lang":"en","type":"review","venue":"Preventive Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":564,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan; University of Toronto","funders":"Canadian Institutes of Health Research; Heart and Stroke Foundation of Canada","keywords":"Medicine; Physical activity; Curriculum; Gerontology; Body weight; Physical therapy; Psychology; Internal medicine; Pedagogy","score_opus":0.04703243382916721,"score_gpt":0.36142878880121987,"score_spread":0.31439635497205265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2043732718","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0035332106,0.9905234,0.000029005982,0.000066285735,0.00008088516,0.0046783877,0.0003886319,0.00003257963,0.00066760794],"genre_scores_gemma":[0.021013957,0.97805995,0.000008938241,0.000017695855,0.00031921896,0.000100361474,0.00009650419,0.000025902067,0.00035749277],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.99669397,0.00094122684,0.00076858443,0.00063721545,0.000651549,0.00030745],"domain_scores_gemma":[0.9978739,0.00034799427,0.0010049178,0.0003608141,0.00012434008,0.0002880037],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00087585766,0.00047869422,0.0044857557,0.0001210921,0.00020804316,0.0000065650206,0.0003427977,0.00019260532,0.00010316015],"category_scores_gemma":[0.0004440248,0.0003106702,0.00042197682,0.00047751956,0.0012526367,0.00027289247,0.000035503526,0.00049735454,0.0000030538365],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016473781,0.000388124,0.0011063692,0.91518366,0.0011054459,0.0000119802,0.009642995,9.244478e-10,8.76266e-7,0.00011491665,0.00007476415,0.072354406],"study_design_scores_gemma":[0.00060593616,0.00013904208,0.019020528,0.96097606,0.015891088,0.000010601301,0.0002737113,2.3570311e-7,0.0000023963732,0.00015735625,0.0023602967,0.0005627519],"about_ca_topic_score_codex":0.0009783992,"about_ca_topic_score_gemma":0.00010227198,"teacher_disagreement_score":0.07179166,"about_ca_system_score_codex":0.00008584445,"about_ca_system_score_gemma":0.0003380399,"threshold_uncertainty_score":0.99993455},"labels":[],"label_agreement":null},{"id":"W2044369383","doi":"10.1016/j.healthplace.2012.03.007","title":"Neighbourhoods and potential access to health care: The role of spatial and aspatial factors","year":2012,"lang":"en","type":"article","venue":"Health & Place","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":225,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Saskatchewan; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Neighbourhood (mathematics); Catchment area; Geography; Primary care; Health care; Immigration; Primary health care; Demographic economics; Regional science; Economic growth; Medicine; Cartography; Family medicine; Drainage basin; Economics","score_opus":0.02069424707197944,"score_gpt":0.3392561135895285,"score_spread":0.3185618665175491,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2044369383","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9858692,0.0040253205,0.00041353484,0.007964785,0.0004161457,0.00062909425,0.000046545472,0.00002902079,0.00060630555],"genre_scores_gemma":[0.9983118,0.0001468034,0.000096770054,0.0009795538,0.00041448843,0.000007680148,0.000009348822,0.000008576974,0.000024964334],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983771,0.00026973902,0.00028842568,0.00020529614,0.00032790183,0.00053155335],"domain_scores_gemma":[0.99901366,0.0000998244,0.0001762677,0.0001506535,0.00004505686,0.0005145242],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087630516,0.00011254908,0.00024294242,0.000039634902,0.00076306885,0.000071580966,0.00020940708,0.00006620287,0.00006970691],"category_scores_gemma":[0.000048747377,0.00008308205,0.00003160505,0.0001493993,0.0001806299,0.0003313125,0.00006218742,0.00014438348,0.000001285527],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045545676,0.00003988883,0.9105729,0.00006508817,0.0000053718663,1.07390754e-7,0.05473396,0.0000016883582,0.0000061701357,0.00039523668,0.000256749,0.033877317],"study_design_scores_gemma":[0.00018492041,0.0001014232,0.9751472,0.000016228985,0.0000071527047,2.2827685e-7,0.00751123,0.000009217707,0.000060357703,0.00009001392,0.016780145,0.000091906],"about_ca_topic_score_codex":0.12970738,"about_ca_topic_score_gemma":0.045124006,"teacher_disagreement_score":0.08458337,"about_ca_system_score_codex":0.00010055977,"about_ca_system_score_gemma":0.0005629297,"threshold_uncertainty_score":0.9723},"labels":[],"label_agreement":null},{"id":"W2044675578","doi":"10.3141/2322-06","title":"Young-Old Elderly and Baby Boomers","year":2012,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Illinois Department of Transportation","keywords":"Baby boomers; Psychology; Age groups; Gerontology; Travel behavior; Demography; Medicine; Demographic economics; Engineering; Sociology; Transport engineering; Economics","score_opus":0.10328235678273402,"score_gpt":0.41756506035350427,"score_spread":0.31428270357077026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2044675578","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99091625,0.00092112704,0.00024784272,0.0043763127,0.0009657811,0.0008509627,0.000039702878,0.000035491055,0.0016465064],"genre_scores_gemma":[0.9941533,0.0016012277,0.00066657714,0.000056518613,0.0005825882,0.000038186277,0.000009396306,0.000040211806,0.0028519805],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99076784,0.0017395113,0.0011883761,0.0003641661,0.0044560647,0.0014840435],"domain_scores_gemma":[0.9949245,0.00093891117,0.00038576196,0.00040397074,0.0024098603,0.00093699544],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.010598565,0.0002343867,0.00042941715,0.000734847,0.0017039683,0.00021704707,0.0010655719,0.00026801164,0.00076514954],"category_scores_gemma":[0.00027549648,0.00018029564,0.00034678404,0.0021023534,0.0019328349,0.001916119,0.0000062388717,0.0021712047,0.000024304658],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042860137,0.00022919368,0.9643632,0.000101112484,0.00007534687,0.000021560054,0.018468795,0.000008816284,0.00051966024,0.0065374495,0.0031683042,0.006077941],"study_design_scores_gemma":[0.00080896076,0.00023639598,0.9359087,0.00013152142,0.000054543943,1.6186095e-7,0.009508353,0.0000035970143,0.0002900345,0.0027443226,0.05012674,0.00018669528],"about_ca_topic_score_codex":0.04866503,"about_ca_topic_score_gemma":0.16018897,"teacher_disagreement_score":0.11152393,"about_ca_system_score_codex":0.00026007404,"about_ca_system_score_gemma":0.00066341757,"threshold_uncertainty_score":0.9995957},"labels":[],"label_agreement":null},{"id":"W2044837011","doi":"10.1007/s11111-006-0016-3","title":"Two Population-Environment Regimes in the Great Plains of the United States, 1930–1990","year":2005,"lang":"en","type":"article","venue":"Population and Environment","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":62,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Johnson and Johnson","keywords":"Geography; Net migration rate; Population; Agriculture; Environmental change; Population growth; Climate change; Demography; Ecology; Archaeology; Sociology","score_opus":0.02090159650541964,"score_gpt":0.2639211405860224,"score_spread":0.24301954408060275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2044837011","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99486494,0.00014221143,0.00003931352,0.0039053003,0.000035267713,0.00029546765,0.000008830057,0.000008443451,0.00070020393],"genre_scores_gemma":[0.99868995,0.00034061057,0.00011917169,0.00027348372,0.000059355905,0.000011348788,0.000101181635,0.0000049965192,0.00039990235],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988853,0.00017662227,0.0002574217,0.00016482045,0.00036341345,0.00015247182],"domain_scores_gemma":[0.99959344,0.000041815743,0.00011181063,0.00021291719,0.0000021550227,0.000037858445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044756397,0.000087188884,0.00009692127,0.00003947765,0.00028653318,0.000019270874,0.00015336409,0.000042914693,0.00026936468],"category_scores_gemma":[0.000008377351,0.00005528413,0.000040635277,0.00011428756,0.00015362786,0.00013174216,0.000022645689,0.00008642048,0.000005632732],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000070753094,0.000068722075,0.98303825,0.000003307728,0.0000035889425,2.0286248e-7,0.0046379743,0.0072095646,0.0000043026716,0.0016764471,0.000044420016,0.003306152],"study_design_scores_gemma":[0.00022953568,0.000007271626,0.96548164,0.0000072620696,0.000014028444,9.851788e-8,0.00085066346,0.000612699,0.000007652442,0.0013361153,0.031383857,0.00006915139],"about_ca_topic_score_codex":0.018537302,"about_ca_topic_score_gemma":0.0054811984,"teacher_disagreement_score":0.031339437,"about_ca_system_score_codex":0.000121286364,"about_ca_system_score_gemma":0.0000044696712,"threshold_uncertainty_score":0.98799837},"labels":[],"label_agreement":null},{"id":"W2045004238","doi":"10.1068/b38185","title":"Mapping Bikeability: A Spatial Tool to Support Sustainable Travel","year":2013,"lang":"en","type":"article","venue":"Environment and Planning B Planning and Design","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":183,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia; University of Victoria; Simon Fraser University","funders":"","keywords":"Geospatial analysis; Transport engineering; Weighting; Geographic information system; Index (typography); Built environment; Sustainable transport; Computer science; Empirical research; Geography; Cartography; Sustainability; Engineering; Civil engineering","score_opus":0.03403581683333595,"score_gpt":0.25920665038044943,"score_spread":0.22517083354711348,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045004238","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9243993,0.00031527685,0.07057565,0.00039051604,0.00006909966,0.0006967545,0.000003829374,0.000065527594,0.0034840237],"genre_scores_gemma":[0.9929313,0.000013691998,0.0033745896,0.00022678165,0.0001629128,0.00005679261,0.000011923295,0.000011832265,0.0032101697],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99842656,0.00011423724,0.00024062012,0.0004190094,0.00026184876,0.0005377176],"domain_scores_gemma":[0.9993365,0.00019558161,0.000058646165,0.00013819727,0.000014590048,0.00025652055],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010143629,0.00017779617,0.00022163642,0.00009971505,0.0007488923,0.0002454823,0.00011807159,0.000116528965,0.00041500456],"category_scores_gemma":[0.000074662385,0.00016843165,0.00003032656,0.00009735848,0.00017800003,0.00034362526,0.000043436172,0.00015115621,0.00003487137],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053040523,0.00004431923,0.9461299,0.000042526077,0.000020100744,0.000054540873,0.040238447,0.00037503784,0.00037608645,0.00012317947,0.00314335,0.009399479],"study_design_scores_gemma":[0.0003934621,0.00020662016,0.951917,0.00005634478,0.000020387923,0.0000015760312,0.02071871,0.0004154146,0.000128305,0.0015757176,0.024128798,0.0004376965],"about_ca_topic_score_codex":0.0020735576,"about_ca_topic_score_gemma":0.0000037972657,"teacher_disagreement_score":0.068531975,"about_ca_system_score_codex":0.00004603281,"about_ca_system_score_gemma":0.000059684808,"threshold_uncertainty_score":0.68684435},"labels":[],"label_agreement":null},{"id":"W2045121856","doi":"10.1068/a40303","title":"A Location Model for Urban Hierarchy Planning with Population Dynamics","year":2008,"lang":"en","type":"article","venue":"Environment and Planning A Economy and Space","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Hierarchy; Urban hierarchy; Plan (archaeology); Urban planning; Population; Aggregate (composite); Computer science; Class (philosophy); Geography; Operations research; Distribution (mathematics); Environmental planning; Regional science; Transport engineering; Engineering; Mathematics; Civil engineering; Artificial intelligence; Sociology; Economics","score_opus":0.02380466740363791,"score_gpt":0.24096757184857168,"score_spread":0.21716290444493377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045121856","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94543713,0.00048249183,0.05220686,0.00033078276,0.000013842531,0.00020105693,0.000004710256,0.000020808848,0.001302313],"genre_scores_gemma":[0.9963914,0.000035402747,0.001999404,0.000041721338,0.00006655941,0.000018440243,0.000051333645,0.0000056927897,0.0013900374],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995071,0.000013807335,0.00008977012,0.00019375121,0.00005052375,0.00014498885],"domain_scores_gemma":[0.9997703,0.00004422861,0.000055178076,0.000056155284,0.00000475478,0.000069426496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015440257,0.00007874308,0.00009919004,0.000029881352,0.00057242904,0.000030529616,0.00003447684,0.000053998952,0.000004850315],"category_scores_gemma":[0.0000043787372,0.0000744432,0.0000127058165,0.000025339981,0.00012728079,0.0002561001,0.0000060097195,0.000056696823,4.33505e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045592624,0.000011404139,0.97847146,0.000015385358,0.0000074349327,0.000001346084,0.01161894,0.00807146,5.4276074e-7,0.0014471498,0.00005904717,0.00025024012],"study_design_scores_gemma":[0.000645431,0.00007873967,0.67102265,0.00005502377,0.000031444688,0.0000013411616,0.0027022988,0.31822312,0.0000037519471,0.0021782895,0.0047636535,0.0002942766],"about_ca_topic_score_codex":0.00019624659,"about_ca_topic_score_gemma":0.000097853175,"teacher_disagreement_score":0.31015167,"about_ca_system_score_codex":0.000042039,"about_ca_system_score_gemma":0.00001901536,"threshold_uncertainty_score":0.44027194},"labels":[],"label_agreement":null},{"id":"W2045233237","doi":"10.1002/atr.5670410106","title":"Using a k‐means clustering algorithm to examine patterns of pedestrian involved crashes in Honolulu, Hawaii","year":2007,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":94,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cluster analysis; Pedestrian; Computer science; Data mining; Hierarchical clustering; Machine learning; Transport engineering; Engineering","score_opus":0.03934509033974769,"score_gpt":0.333849249030034,"score_spread":0.2945041586902863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045233237","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8412709,0.00007589147,0.1580222,0.00007264981,0.00029981823,0.00017715259,0.0000124678545,0.000009007899,0.0000599108],"genre_scores_gemma":[0.9692867,0.00005143917,0.03043027,0.00002446012,0.00017394256,9.3957516e-7,0.0000072585967,0.000011733075,0.0000133016865],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981184,0.000040891955,0.0009554699,0.00015012868,0.0004383796,0.0002967281],"domain_scores_gemma":[0.998937,0.00008294327,0.00048960926,0.00008937606,0.00023640576,0.00016464257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011662396,0.00011502994,0.00031087355,0.00029788172,0.00008307299,0.000016351292,0.00018453723,0.00008146608,0.000027869106],"category_scores_gemma":[0.000033848606,0.00011614151,0.000112647205,0.00048351046,0.000050575465,0.0007476416,0.0000018026888,0.00017681404,2.5029135e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020750612,0.00014373443,0.92551166,0.00006616086,0.00001571145,0.00007102594,0.020295829,0.008972622,0.0076148454,0.000019812149,5.3355666e-7,0.037080556],"study_design_scores_gemma":[0.0009539042,0.00010964963,0.98181105,0.00025195704,0.000031720265,4.2769724e-7,0.014127701,0.000044102613,0.0021452962,0.00023671,0.00016324183,0.00012424382],"about_ca_topic_score_codex":0.0025530648,"about_ca_topic_score_gemma":0.14218362,"teacher_disagreement_score":0.13963054,"about_ca_system_score_codex":0.00014533171,"about_ca_system_score_gemma":0.00014460327,"threshold_uncertainty_score":0.8734693},"labels":[],"label_agreement":null},{"id":"W2045350611","doi":"10.3141/2418-05","title":"All aboard at all Doors","year":2014,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Doors; Dwell time; Transport engineering; Transit (satellite); Public transport; Agency (philosophy); Computer science; Operations research; Business; Engineering; Operations management; Operating system","score_opus":0.12108824186019314,"score_gpt":0.4309061583013849,"score_spread":0.3098179164411918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045350611","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9786642,0.00018840662,0.0005476721,0.015102828,0.000998145,0.0010138098,0.000047329315,0.00006443096,0.0033731677],"genre_scores_gemma":[0.9927908,0.00090027,0.0009236501,0.00031946664,0.00062546553,0.00005409053,0.000030608597,0.0000625382,0.004293065],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98596084,0.0032873172,0.001738599,0.0006233086,0.0066973604,0.0016925728],"domain_scores_gemma":[0.9920655,0.0017725606,0.0006175886,0.0007212662,0.0038540969,0.00096898933],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.014161891,0.0003177711,0.0006063476,0.00086562854,0.0017613423,0.00024966698,0.0022823997,0.00036684464,0.0016438123],"category_scores_gemma":[0.0005073407,0.00024405403,0.0006979643,0.0022077146,0.0020591926,0.001084085,0.000012126706,0.002254737,0.00009369322],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014742645,0.00038440252,0.9341667,0.00018005793,0.00020938259,0.000075686745,0.016502552,0.00022296121,0.0017584561,0.009583851,0.029492494,0.0059491503],"study_design_scores_gemma":[0.001024085,0.00023674923,0.64551157,0.00011065488,0.00006206889,8.16269e-8,0.0017500144,0.000022596545,0.0005797196,0.006279178,0.34421706,0.0002062163],"about_ca_topic_score_codex":0.0474762,"about_ca_topic_score_gemma":0.4263726,"teacher_disagreement_score":0.3788964,"about_ca_system_score_codex":0.0006583397,"about_ca_system_score_gemma":0.00088946463,"threshold_uncertainty_score":0.99953824},"labels":[],"label_agreement":null},{"id":"W2045697832","doi":"10.1016/j.jue.2007.12.002","title":"Fat city: Questioning the relationship between urban sprawl and obesity","year":2008,"lang":"en","type":"article","venue":"Journal of Urban Economics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":230,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Urban sprawl; Obesity; Environmental health; Geography; Demographic economics; Economic geography; Demography; Urban planning; Medicine; Economics; Biology; Sociology; Endocrinology; Ecology","score_opus":0.0700124846701822,"score_gpt":0.2895022262124455,"score_spread":0.21948974154226328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045697832","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952189,0.0005794086,0.00017640575,0.001777475,0.00023424142,0.00007540542,0.000004553357,0.000011487681,0.001922133],"genre_scores_gemma":[0.9976653,0.00014370418,0.0002602419,0.000087739325,0.0012017806,5.061987e-7,0.000001206991,0.0000063205134,0.0006332427],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999063,0.00011178121,0.00043825284,0.00010903581,0.00011041461,0.00016749417],"domain_scores_gemma":[0.99869007,0.0005495799,0.00042330596,0.00011989849,0.00007956576,0.00013760795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011420383,0.00008092818,0.00020679328,0.00006117893,0.0009283035,0.00008640252,0.00025182043,0.00009048653,0.00003082685],"category_scores_gemma":[0.00031245797,0.000064665786,0.000101509446,0.00009846735,0.000399629,0.00067209575,0.000017330434,0.00032337155,0.0000039501774],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000074525337,0.000014877001,0.99119484,0.0000025069833,0.000016010757,0.0000026002765,0.003886985,0.0000056006975,4.6248934e-7,0.003608465,0.001104939,0.00015524084],"study_design_scores_gemma":[0.00017647533,0.000022469121,0.98282266,0.000014175718,0.00003554921,0.000004128018,0.0004026437,0.000005258264,0.000009128001,0.0066115833,0.009818358,0.00007756869],"about_ca_topic_score_codex":0.0002554992,"about_ca_topic_score_gemma":0.00051882275,"teacher_disagreement_score":0.008713419,"about_ca_system_score_codex":0.00013073353,"about_ca_system_score_gemma":0.00019312378,"threshold_uncertainty_score":0.7139854},"labels":[],"label_agreement":null},{"id":"W2045844292","doi":"10.4000/vertigo.11700","title":"Les espaces économiques industriels spécialisés : les patrons de mobilité des travailleurs et l’accessibilité en transport en commun","year":2012,"lang":"fr","type":"article","venue":"VertigO","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.07148108951983423,"score_gpt":0.3336616551055817,"score_spread":0.2621805655857475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045844292","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95963573,0.021411225,0.0007246854,0.0038306064,0.0009760768,0.0006611332,0.00023286065,0.00026009724,0.012267592],"genre_scores_gemma":[0.9888748,0.0029075057,0.0013889011,0.0002925906,0.0011507396,0.0000847539,0.0000572138,0.00007174187,0.005171771],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.994347,0.001992508,0.0009555961,0.00066553155,0.00041889618,0.0016204916],"domain_scores_gemma":[0.997124,0.001040797,0.0002706291,0.00069018546,0.00013045309,0.0007439164],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0032879317,0.00061181886,0.00076568435,0.00013704372,0.0010246505,0.00016278496,0.001166622,0.0011326545,0.0029486555],"category_scores_gemma":[0.00025077985,0.00060459593,0.00049031025,0.0006160658,0.0024914502,0.0024761516,0.00007715364,0.0011788617,0.00003745637],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007612956,0.00083282695,0.8637618,0.00017657278,0.0001102708,0.0000069148555,0.066493765,0.000021750244,0.00014437904,0.01310987,0.00040838463,0.05485735],"study_design_scores_gemma":[0.00048288397,0.00013006253,0.8660179,0.00022675494,0.00027282131,0.0000019714055,0.013393557,0.000017063863,0.0017847666,0.0042505576,0.11275508,0.00066659244],"about_ca_topic_score_codex":0.07977737,"about_ca_topic_score_gemma":0.060074113,"teacher_disagreement_score":0.1123467,"about_ca_system_score_codex":0.00071673276,"about_ca_system_score_gemma":0.0007115386,"threshold_uncertainty_score":0.9996405},"labels":[],"label_agreement":null},{"id":"W2045999086","doi":"10.1097/00005768-200305001-00349","title":"ACTIVE CITIES OF THE AMERICAS CONTEST","year":2003,"lang":"en","type":"article","venue":"Medicine & Science in Sports & Exercise","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Recreation; CONTEST; Latin Americans; Promotion (chess); Population; Geography; Health promotion; Socioeconomics; Public health; Physical activity; Environmental health; Economic growth; Medicine; Gerontology; Business; Political science; Sociology; Nursing; Physical therapy","score_opus":0.024039933753598048,"score_gpt":0.31340217839646994,"score_spread":0.2893622446428719,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045999086","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.928241,0.00006974994,0.0000071858926,0.00076221727,0.00066988805,0.0003161722,0.0000014016111,0.00001871821,0.069913656],"genre_scores_gemma":[0.99858797,0.000113428454,0.000044921733,0.00014482583,0.000046224744,0.000012487785,3.5549044e-7,0.000004201438,0.001045606],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977095,0.000059249196,0.00035526726,0.00031977828,0.0011592015,0.00039698306],"domain_scores_gemma":[0.9990492,0.00008719931,0.00020084371,0.0003508258,0.0001830842,0.00012885052],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0022861613,0.00010908423,0.0002975756,0.00013813973,0.00042138743,0.00001473905,0.0006688056,0.000038356186,0.00071676535],"category_scores_gemma":[0.0007043429,0.00006778376,0.000050592444,0.002213664,0.008452255,0.0005831755,0.000024364572,0.00015985093,0.000001800185],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000075969165,0.00004634814,0.9743805,0.0000052355927,8.813412e-8,0.0000062257377,0.016340878,0.0000020158284,0.00007840056,0.00055088446,0.000068600275,0.008513217],"study_design_scores_gemma":[0.00017262284,0.000016727188,0.9718946,0.00015411947,0.000011955082,3.3108205e-7,0.021498749,0.000002005973,0.00022169665,0.00194305,0.0040012654,0.000082835424],"about_ca_topic_score_codex":0.0053865775,"about_ca_topic_score_gemma":0.0013901028,"teacher_disagreement_score":0.07034694,"about_ca_system_score_codex":0.00009753355,"about_ca_system_score_gemma":0.00068547204,"threshold_uncertainty_score":0.9942462},"labels":[],"label_agreement":null},{"id":"W2046133647","doi":"10.1016/j.healthplace.2010.01.009","title":"Spatial clustering and the temporal mobility of walking school trips in the Greater Toronto Area, Canada","year":2010,"lang":"en","type":"article","venue":"Health & Place","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":71,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research; Heart and Stroke Foundation of Canada","keywords":"TRIPS architecture; Geography; Psychological intervention; Cluster (spacecraft); Statistic; Logistic regression; Demography; Psychology; Medicine; Transport engineering; Sociology; Computer science; Statistics","score_opus":0.01747779704136847,"score_gpt":0.29035949468516364,"score_spread":0.27288169764379516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046133647","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99209076,0.00021072598,0.000031304953,0.0051764376,0.0002627439,0.0005384489,0.000009332848,0.00000836248,0.0016718704],"genre_scores_gemma":[0.9990701,0.000017109145,0.000048549085,0.0006275163,0.000119357734,0.000017050324,0.0000020010054,0.0000029756811,0.00009534286],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986925,0.00031478776,0.0002894005,0.00016445834,0.00028226225,0.00025657043],"domain_scores_gemma":[0.99930763,0.00024163406,0.00011335401,0.00021354173,0.000028543687,0.00009531089],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032398868,0.000071857175,0.0001751433,0.000007576277,0.00035574043,0.000032746862,0.00023699211,0.00004829902,0.00017024847],"category_scores_gemma":[0.0001431587,0.000040997635,0.00002394903,0.0000730607,0.0002307984,0.00013947605,0.000018933271,0.00024222306,1.8804232e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015974436,0.000024593504,0.9749986,0.00005527304,0.0000026936923,0.0000018914727,0.020849222,0.0000018088048,0.0000051025054,0.0001104259,0.00044755492,0.0033430872],"study_design_scores_gemma":[0.00064991676,0.00001550777,0.9859553,0.000019247556,0.000003816525,4.426041e-7,0.006778675,0.00019388608,0.000005172364,0.00013191739,0.006182575,0.00006356744],"about_ca_topic_score_codex":0.9938423,"about_ca_topic_score_gemma":0.9997264,"teacher_disagreement_score":0.014070547,"about_ca_system_score_codex":0.00017957747,"about_ca_system_score_gemma":0.001149631,"threshold_uncertainty_score":0.27361035},"labels":[],"label_agreement":null},{"id":"W2046641831","doi":"10.7202/018492ar","title":"Quelle mobilité quotidienne intra-urbaine sans la voiture ? Le cas des adolescents d’une banlieue de Strasbourg","year":2008,"lang":"fr","type":"article","venue":"Enfances Familles Générations","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.01952049345577315,"score_gpt":0.2903282734150313,"score_spread":0.27080777995925814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046641831","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9246043,0.015128493,0.0027258473,0.0032626123,0.0010547078,0.00058622623,0.00028134737,0.00020332763,0.05215317],"genre_scores_gemma":[0.9764286,0.006483854,0.0016348102,0.00027428794,0.0009369581,0.00007147208,0.000088207504,0.000046967605,0.014034792],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99630105,0.000568111,0.0007483424,0.0007707368,0.0005231344,0.0010886088],"domain_scores_gemma":[0.99825364,0.0002726149,0.00024813626,0.00050857547,0.0002381727,0.00047884774],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.00069020595,0.0004554264,0.0005260152,0.00011290096,0.0026740101,0.00013012378,0.00064804446,0.00048246176,0.00042399068],"category_scores_gemma":[0.00015331556,0.00049544673,0.00033818925,0.0013491845,0.0038670413,0.0011053329,0.000052041803,0.00066191517,0.000098328164],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051016792,0.0017559794,0.82823294,0.0002979636,0.00012245984,0.00014965667,0.11511174,0.0011404967,0.0007853612,0.0445895,0.0033209838,0.0044418946],"study_design_scores_gemma":[0.0011623141,0.0001484925,0.89328384,0.0005201332,0.00015951096,0.000031326363,0.03287076,0.00053472834,0.00084824185,0.016742682,0.052705478,0.000992474],"about_ca_topic_score_codex":0.031471185,"about_ca_topic_score_gemma":0.12719847,"teacher_disagreement_score":0.095727295,"about_ca_system_score_codex":0.00034809666,"about_ca_system_score_gemma":0.0011750103,"threshold_uncertainty_score":0.9997497},"labels":[],"label_agreement":null},{"id":"W2046871370","doi":"10.1177/1359105308095979","title":"Project IMPACT","year":2008,"lang":"en","type":"article","venue":"Journal of Health Psychology","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; Regional Municipality of Niagara; Regional Municipality of Durham","funders":"","keywords":"Psychology; Medicine; Environmental health","score_opus":0.15917565007204512,"score_gpt":0.5328386725041656,"score_spread":0.37366302243212046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046871370","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9711883,0.0010758535,0.00030487656,0.016546838,0.0008622896,0.00011315472,0.0000017307314,0.000012435019,0.009894539],"genre_scores_gemma":[0.9950265,0.0007783053,0.00043142657,0.003062107,0.00046080517,6.2597616e-7,4.2068118e-7,0.000004435156,0.00023535948],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984784,0.00036377157,0.00053055957,0.000089017194,0.00023065109,0.00030760563],"domain_scores_gemma":[0.99910855,0.000044334152,0.0004866353,0.00010078383,0.00012269283,0.00013697134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019279213,0.000056741887,0.00025979592,0.00012327348,0.00034041598,0.0000057784223,0.0002219525,0.00007254665,0.00027416088],"category_scores_gemma":[0.0000677235,0.00004145688,0.00013427417,0.00024273853,0.00022980946,0.0001764556,0.0000030646538,0.00025593315,0.000010932091],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009719208,0.0002147027,0.8591616,0.000008799166,0.000019690136,0.000060672803,0.0092108315,6.880803e-7,0.000012210917,0.00005401459,0.12348547,0.0076741395],"study_design_scores_gemma":[0.00040958388,0.0003980409,0.86535215,0.000009717644,0.0000027100984,0.00006143378,0.00017180575,2.0853427e-7,0.0000010025359,0.0007059061,0.13284405,0.000043410644],"about_ca_topic_score_codex":0.0006146303,"about_ca_topic_score_gemma":0.00020322435,"teacher_disagreement_score":0.023838233,"about_ca_system_score_codex":0.000099318684,"about_ca_system_score_gemma":0.0013736152,"threshold_uncertainty_score":0.30018693},"labels":[],"label_agreement":null},{"id":"W2047172208","doi":"10.1186/1471-2458-14-1103","title":"Evaluating the impact of environmental interventions across 2 countries: the International Bikeshare Impacts on Cycling and Collisions Study (IBICCS) Study protocol","year":2014,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto; University Health Network; Toronto Public Health; University of British Columbia; Sante Montreal; Simon Fraser University; Université de Montréal; University of Saskatchewan","funders":"Canadian Institutes of Health Research; Université de Montréal; Simon Fraser University; University of Toronto; New York City Department of Health and Mental Hygiene","keywords":"Biostatistics; Medicine; Protocol (science); Environmental health; Psychological intervention; Cycling; Public health; Geography; Pathology; Alternative medicine; Nursing; Forestry","score_opus":0.19935421304125428,"score_gpt":0.5374307918903408,"score_spread":0.33807657884908654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047172208","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9559657,0.000010878993,0.000050247356,0.001267636,0.00008572422,0.042246588,0.00014289649,0.000024688536,0.00020564116],"genre_scores_gemma":[0.9924653,0.000002026794,0.000018114659,0.000094394345,0.00013444653,0.0072094616,0.00000856499,0.000008621977,0.00005903286],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99669826,0.0011989933,0.00059876085,0.00028965902,0.0008269034,0.0003874398],"domain_scores_gemma":[0.9983075,0.00067969394,0.00040828498,0.00035158856,0.00007490734,0.0001780115],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.012414901,0.00012667156,0.00020556792,0.00004903868,0.001763427,0.0003599739,0.000598649,0.000034817014,0.00032708998],"category_scores_gemma":[0.00095022266,0.000067031535,0.00013603996,0.00023272558,0.00027560178,0.0003263045,0.00011471991,0.00020953831,0.000004691761],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004125241,0.0014285741,0.9523493,0.000019472805,0.000037349397,1.1572317e-7,0.04363864,0.000029772562,0.0000024297171,0.00006228997,0.000065113636,0.002325714],"study_design_scores_gemma":[0.0009843201,0.0014745496,0.942883,0.000041913954,0.0000068807294,1.3506276e-7,0.053682003,0.00043692862,5.05473e-7,0.00005443767,0.0003736991,0.00006159234],"about_ca_topic_score_codex":0.0063852947,"about_ca_topic_score_gemma":0.017398003,"teacher_disagreement_score":0.036499634,"about_ca_system_score_codex":0.00036430825,"about_ca_system_score_gemma":0.0007235378,"threshold_uncertainty_score":0.99953616},"labels":[],"label_agreement":null},{"id":"W2047511381","doi":"10.1016/j.scs.2013.11.009","title":"Cycling characteristics in cities with cold weather","year":2013,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":67,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Cycling; Greenhouse gas; Environmental science; Cold climate; Cold weather; Climate change; Global warming; Transport engineering; Baseline (sea); Engineering; Meteorology; Geography; Ecology; Political science","score_opus":0.0075748775091355695,"score_gpt":0.23140179473499511,"score_spread":0.22382691722585954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047511381","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9835117,0.00023641795,0.00004655861,0.00074078725,0.000037156726,0.0003164412,0.000004872843,0.000048724993,0.015057329],"genre_scores_gemma":[0.9700032,0.00025252864,0.00015070778,0.00035176252,0.00011396998,0.00004751947,0.000004331988,0.000010076233,0.029065909],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9989667,0.000035230027,0.00016147987,0.00018143651,0.00017441524,0.0004807318],"domain_scores_gemma":[0.9995614,0.00006333881,0.000051666106,0.00009480196,0.0001489216,0.000079849895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036598762,0.000105434214,0.00018228458,0.000020642427,0.00057251623,0.00024676713,0.0001034885,0.000097987504,0.000275202],"category_scores_gemma":[0.000019621202,0.000088475004,0.00005152176,0.00017281815,0.0005721322,0.0005148835,0.000024586387,0.00014187787,0.0000019269764],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007678388,0.00003589666,0.8781508,0.00021259577,0.000018956092,0.000009872024,0.07973041,0.0000012597488,0.000015687401,0.04006753,0.0012897772,0.00045949328],"study_design_scores_gemma":[0.0002995437,0.00002885879,0.3533409,0.000033472163,0.0000106774105,1.09690006e-7,0.618799,0.000041434727,0.000016308937,0.006175619,0.021046031,0.00020809399],"about_ca_topic_score_codex":0.014575056,"about_ca_topic_score_gemma":0.00050446775,"teacher_disagreement_score":0.5390685,"about_ca_system_score_codex":0.00011052405,"about_ca_system_score_gemma":0.00017547791,"threshold_uncertainty_score":0.991987},"labels":[],"label_agreement":null},{"id":"W2047987716","doi":"10.1016/j.tranpol.2013.04.001","title":"Active school trips: associations with caregiver walking frequency","year":2013,"lang":"en","type":"article","venue":"Transport Policy","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":35,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"New Jersey Department of Transportation","keywords":"Respondent; TRIPS architecture; Ethnic group; Psychology; Travel behavior; Household income; Human factors and ergonomics; Perception; Travel survey; Injury prevention; Logistic regression; Poison control; Geography; Environmental health; Medicine; Transport engineering; Sociology; Engineering; Political science","score_opus":0.017826251958352354,"score_gpt":0.294213819243134,"score_spread":0.27638756728478164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047987716","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8263581,0.00004385399,0.00014842248,0.0028134708,0.00007008854,0.0005640479,0.00007142159,0.00020827937,0.16972233],"genre_scores_gemma":[0.9951766,0.000023797265,0.00030237186,0.00036495042,0.0005340611,0.000080131475,0.00005446794,0.000021002617,0.0034426122],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99827474,0.000070357,0.00027467878,0.00032852363,0.00047971628,0.0005719683],"domain_scores_gemma":[0.99900484,0.00005400324,0.00013120091,0.00024656503,0.00022890771,0.00033448578],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00020740497,0.00017746065,0.0002465003,0.00014134224,0.0006186088,0.00006711821,0.00033936603,0.0001538348,0.0027578156],"category_scores_gemma":[0.000049100247,0.00015256586,0.00012376437,0.0007703942,0.00029759275,0.0011387169,0.0000034329012,0.00026124195,0.00018743242],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013351654,0.00011404547,0.95331985,0.000012562431,0.00007585128,0.0000092799755,0.030280419,0.0000025000581,0.00011251068,0.011423032,0.0003086413,0.0043279314],"study_design_scores_gemma":[0.0004318537,0.000025545305,0.9872615,0.000019528467,0.00005081938,1.4685865e-7,0.0030287586,5.432265e-7,0.0000965485,0.006008248,0.0028382428,0.00023830631],"about_ca_topic_score_codex":0.16079384,"about_ca_topic_score_gemma":0.037889786,"teacher_disagreement_score":0.16881852,"about_ca_system_score_codex":0.00036727937,"about_ca_system_score_gemma":0.0010579698,"threshold_uncertainty_score":0.9981538},"labels":[],"label_agreement":null},{"id":"W2048096329","doi":"10.1016/j.jth.2014.03.002","title":"Shifting short motorized trips to walking: The potential of active transportation for physical activity in Montreal","year":2014,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Sherbrooke; Polytechnique Montréal","funders":"","keywords":"TRIPS architecture; Population; STRIDE; Physical activity; Transport engineering; Geography; Transfer (computing); Physical medicine and rehabilitation; Medicine; Computer science; Environmental health; Engineering","score_opus":0.02510180656044983,"score_gpt":0.3417560808290335,"score_spread":0.3166542742685837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2048096329","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.980961,0.000026355143,0.014661359,0.003151373,0.0003073574,0.00072142977,0.00004785745,0.000010430249,0.00011281182],"genre_scores_gemma":[0.9987267,0.000028372848,0.00055394776,0.0000901823,0.0005478967,0.0000121901785,0.0000070378624,0.000012909349,0.000020757247],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9977937,0.00022102945,0.00073875015,0.00020675693,0.00064028066,0.00039953808],"domain_scores_gemma":[0.99867296,0.00022970804,0.00050653087,0.00013421816,0.00022256962,0.00023403054],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028808287,0.0001441206,0.000624161,0.00012590506,0.00026304025,0.000012367708,0.0003366801,0.0000867072,0.000010426343],"category_scores_gemma":[0.00005842382,0.000107663735,0.0003665023,0.00037344403,0.000110640205,0.0003897897,0.0000014168816,0.0003458869,2.0003648e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.009957563,0.0026381626,0.34658542,0.0004720247,0.00016476032,0.000018623336,0.15477297,0.001364722,0.007088483,0.0011678039,0.000091012196,0.47567844],"study_design_scores_gemma":[0.0010130455,0.00045237955,0.9941037,0.000082861356,0.00006392091,2.4839434e-7,0.0017152455,0.00011103345,0.0006215364,0.0010731015,0.0006588911,0.00010398903],"about_ca_topic_score_codex":0.0056788344,"about_ca_topic_score_gemma":0.03533346,"teacher_disagreement_score":0.64751834,"about_ca_system_score_codex":0.00015363417,"about_ca_system_score_gemma":0.0005254229,"threshold_uncertainty_score":0.98226917},"labels":[],"label_agreement":null},{"id":"W2048400826","doi":"10.1016/j.healthplace.2005.11.001","title":"Walkability of local communities: Using geographic information systems to objectively assess relevant environmental attributes","year":2006,"lang":"en","type":"article","venue":"Health & Place","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":684,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver Community College; University of British Columbia","funders":"National Medical Research Council; National Health and Medical Research Council; Government of South Australia","keywords":"Walkability; Context (archaeology); Geographic information system; Geography; Built environment; Index (typography); Spatial analysis; Spatial contextual awareness; Environmental resource management; Environmental planning; Environmental health; Cartography; Computer science; Remote sensing; Medicine; Environmental science; World Wide Web; Engineering; Civil engineering","score_opus":0.033456915700161634,"score_gpt":0.30427691586280065,"score_spread":0.270820000162639,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2048400826","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98598075,0.00024303715,0.011773843,0.00038525654,0.0001596918,0.0006819817,0.00020025791,0.000049335526,0.0005258262],"genre_scores_gemma":[0.99943227,0.000023597166,0.0002575549,0.00012853128,0.000045875917,0.000015117493,0.00007227945,0.0000048805878,0.000019908191],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981051,0.00042508077,0.00056300533,0.000115847295,0.0004347065,0.00035624192],"domain_scores_gemma":[0.99903995,0.00029266314,0.0002601081,0.00021198686,0.000061462844,0.0001338434],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019235027,0.00010656013,0.00025685798,0.000093104354,0.0006000586,0.000048447622,0.00019398125,0.000087822715,0.000045264314],"category_scores_gemma":[0.000026646627,0.00010663926,0.000055849297,0.0002810524,0.00032346265,0.00058981386,0.000028066672,0.00015712412,0.000007728582],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005017253,0.00018233381,0.9857413,0.0003041162,0.000008320497,4.076809e-7,0.009148685,0.0018842517,0.00003009977,0.0019152098,0.00020475389,0.00053032365],"study_design_scores_gemma":[0.00028084937,0.00011071221,0.9289653,0.0001642105,0.0000110990395,5.7596776e-7,0.058952957,0.0017242583,0.000074365475,0.00021685906,0.009285668,0.00021315113],"about_ca_topic_score_codex":0.20584391,"about_ca_topic_score_gemma":0.015509622,"teacher_disagreement_score":0.19033429,"about_ca_system_score_codex":0.00058549637,"about_ca_system_score_gemma":0.0003674156,"threshold_uncertainty_score":0.86547333},"labels":[],"label_agreement":null},{"id":"W2048890648","doi":"10.1111/0033-0124.5504004","title":"Analyzing Changes in Urban Form and Commuting Time","year":2003,"lang":"en","type":"article","venue":"The Professional Geographer","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":104,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"","keywords":"Metropolitan area; Suburbanization; TRIPS architecture; Geography; Duration (music); Economic geography; Categorical variable; Journey to work; Demographic economics; Demography; Socioeconomics; Regional science; Transport engineering; Sociology; Economics; Statistics; Public transport; Mathematics","score_opus":0.01821271894904317,"score_gpt":0.29977383710520816,"score_spread":0.28156111815616497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2048890648","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9788598,0.0008005561,0.0000046174637,0.0017398773,0.00012216733,0.00020269347,0.0000020696227,0.000029761286,0.018238487],"genre_scores_gemma":[0.99615127,0.000030796626,0.00008723628,0.00019258472,0.0000541438,0.000014847603,0.0000021879632,0.000005388483,0.0034615484],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99902886,0.00024940862,0.00012394098,0.00014098198,0.00017887274,0.00027793637],"domain_scores_gemma":[0.99958444,0.00016188805,0.000053663378,0.00011772214,0.000027816315,0.00005448723],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015525967,0.000076264885,0.000106731066,0.00005564984,0.0006605232,0.000030295454,0.00017044177,0.000063559026,0.0005928001],"category_scores_gemma":[0.000049106642,0.000048962458,0.00003577333,0.00040313264,0.00028504158,0.00012010541,0.000026975424,0.00018769348,0.000007802501],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000068149225,0.0000346467,0.9887575,0.0000053029235,0.0000060865236,7.9853083e-7,0.0065919748,1.7270725e-7,0.00006839003,0.0030425224,0.00014577755,0.0013400372],"study_design_scores_gemma":[0.00030220213,0.000011998875,0.96311,0.000084757805,0.00001756257,2.1172418e-7,0.0053307046,0.000020624864,0.00008869975,0.017302595,0.013560096,0.0001705421],"about_ca_topic_score_codex":0.00069452194,"about_ca_topic_score_gemma":0.0053849276,"teacher_disagreement_score":0.02564747,"about_ca_system_score_codex":0.000012124879,"about_ca_system_score_gemma":0.00004413286,"threshold_uncertainty_score":0.6490745},"labels":[],"label_agreement":null},{"id":"W2049108822","doi":"10.1146/annurev-publhealth-031912-114502","title":"Transportation and Public Health","year":2013,"lang":"en","type":"review","venue":"Annual Review of Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":159,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Transport Canada","funders":"","keywords":"Business; Public transport; Transportation planning; Public health; Occupational safety and health; Transport engineering; Crash; Private transport; Environmental planning; Poison control; Vehicle miles of travel; Injury prevention; Suicide prevention; Environmental health; Computer science; Environmental science; Engineering; Political science; Medicine","score_opus":0.17103991954039294,"score_gpt":0.4545736817517324,"score_spread":0.28353376221133947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049108822","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000050236345,0.97052974,0.000092705384,0.024295198,0.00023539619,0.0031346157,0.0005567343,0.000082106904,0.0010684642],"genre_scores_gemma":[0.00002884894,0.99475247,0.00023505259,0.0032420424,0.00022739467,0.00017945413,0.00096387486,0.00003718043,0.00033371427],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9920907,0.002559664,0.0025681779,0.00068816514,0.0008935109,0.00119977],"domain_scores_gemma":[0.9950384,0.00024812427,0.002203354,0.00050890876,0.00051399966,0.0014872224],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.012391899,0.00042135184,0.0034146805,0.00024492742,0.0004816838,0.00010547777,0.0006679329,0.0002726766,0.00063840166],"category_scores_gemma":[0.0006355163,0.00033165986,0.00052290125,0.0013733043,0.0004553316,0.0010750896,0.000018711715,0.0005053452,0.000038334725],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[6.364785e-8,0.00007667758,0.00013641272,0.20667857,0.000026394357,3.4364197e-7,0.0018044319,1.5882168e-10,1.5760714e-10,0.003314821,0.0069602593,0.78100204],"study_design_scores_gemma":[0.000057228546,0.00007281875,0.00039751612,0.038552918,0.000046315905,4.900908e-7,0.000708228,2.6882175e-8,5.4070637e-10,0.000055429748,0.959883,0.00022606403],"about_ca_topic_score_codex":0.010500689,"about_ca_topic_score_gemma":0.004158337,"teacher_disagreement_score":0.9529227,"about_ca_system_score_codex":0.00039130615,"about_ca_system_score_gemma":0.014744245,"threshold_uncertainty_score":0.9999136},"labels":[],"label_agreement":null},{"id":"W2049554496","doi":"10.3141/2156-18","title":"Disaggregated Empirical Analysis of Determinants of Urban Travel Greenhouse Gas Emissions","year":2010,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University; Université Laval","funders":"Ministère des Transports","keywords":"Greenhouse gas; Residence; Work (physics); Environmental science; Land use; Natural resource economics; Agricultural economics; Geography; Economics; Demographic economics; Engineering","score_opus":0.1134356519868901,"score_gpt":0.4499808540870566,"score_spread":0.33654520210016653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049554496","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968296,0.000090788315,0.00024507503,0.001232657,0.00038149062,0.0007083544,0.00021279562,0.000018392888,0.0002808047],"genre_scores_gemma":[0.99813294,0.0004046414,0.0006697803,0.000012340562,0.00013891875,0.00002038971,0.00002240632,0.000033805292,0.0005647748],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98989934,0.0014348296,0.0023816365,0.00044485333,0.0049330965,0.00090624014],"domain_scores_gemma":[0.99139315,0.001581337,0.0010835736,0.0006881113,0.0046033473,0.000650488],"candidate_categories":["sts","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0077620232,0.00024077078,0.00097378687,0.0018916641,0.00081901875,0.000068100126,0.0018137267,0.00036713373,0.0011617071],"category_scores_gemma":[0.0006468866,0.00017895209,0.0010376992,0.0073495423,0.0028053084,0.00068217784,0.0000073222404,0.0024001708,0.0000030361134],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00080574676,0.00063798286,0.97196156,0.00012611167,0.00036231003,0.00003548628,0.013823328,0.00007291633,0.0077780746,0.0005838038,0.00061989145,0.0031928136],"study_design_scores_gemma":[0.0008376143,0.0003005718,0.9856574,0.00016949789,0.00047913048,5.3873666e-8,0.004238218,0.00014346535,0.0048339283,0.0011724983,0.0020022083,0.0001654389],"about_ca_topic_score_codex":0.048545606,"about_ca_topic_score_gemma":0.52768654,"teacher_disagreement_score":0.47914097,"about_ca_system_score_codex":0.00010468089,"about_ca_system_score_gemma":0.0016378601,"threshold_uncertainty_score":0.9999085},"labels":[],"label_agreement":null},{"id":"W2050048254","doi":"10.1016/j.compenvurbsys.2012.03.006","title":"An agent-based model of the influence of neighbourhood design on daily trip patterns","year":2012,"lang":"en","type":"article","venue":"Computers Environment and Urban Systems","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Pedestrian; Neighbourhood (mathematics); Transport engineering; Traffic congestion; Grid; Computer science; Engineering; Geography","score_opus":0.03323548840386338,"score_gpt":0.2390829638142743,"score_spread":0.20584747541041093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050048254","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9593521,0.00017998359,0.03975266,0.000030326175,0.00017301143,0.00037130376,0.000016775719,0.000012493237,0.00011137667],"genre_scores_gemma":[0.9996135,0.000010824233,0.00016409167,0.00005094293,0.00008286241,0.000008946204,0.0000024069511,0.0000072896705,0.00005913765],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987555,0.0002354986,0.00027357574,0.00017280939,0.00034711236,0.00021548968],"domain_scores_gemma":[0.9992862,0.0000708215,0.00020066377,0.00031364444,0.000009081062,0.0001195873],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053150154,0.0001122395,0.0001937548,0.000030951425,0.0001436907,0.000021478776,0.00031476753,0.000066312045,0.000010294508],"category_scores_gemma":[0.0000037385962,0.000081612394,0.00006231793,0.00005522528,0.00022466117,0.00019861854,0.00001926066,0.000064746666,0.0000012773496],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018673576,0.00018928605,0.9221616,0.000041671952,0.000011195987,1.419641e-7,0.003352611,0.07280956,0.0007628249,0.00034612493,0.000053447966,0.00025286712],"study_design_scores_gemma":[0.0004397923,0.000105736384,0.96877754,0.00010356835,0.00003614224,5.5314697e-8,0.00034910694,0.029203743,0.0006331968,0.000025999107,0.00016923693,0.00015587949],"about_ca_topic_score_codex":0.00032605496,"about_ca_topic_score_gemma":0.000007607274,"teacher_disagreement_score":0.04661595,"about_ca_system_score_codex":0.00004434777,"about_ca_system_score_gemma":0.00002865314,"threshold_uncertainty_score":0.33280566},"labels":[],"label_agreement":null},{"id":"W2051553949","doi":"10.1177/0013916513510399","title":"Effect of Weather, School Transport, and Perceived Neighborhood Characteristics on Moderate to Vigorous Physical Activity Levels of Adolescents From Two European Cities","year":2013,"lang":"en","type":"article","venue":"Environment and Behavior","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Gobierno de Aragón","keywords":"Physical activity; Walkability; Precipitation; Geography; Perception; Multilevel model; Psychology; Demography; Environmental science; Meteorology; Medicine; Physical therapy; Mathematics; Statistics","score_opus":0.014869027616408653,"score_gpt":0.2625193827341549,"score_spread":0.24765035511774627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2051553949","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991271,0.000012799452,0.000036543075,0.000025162644,0.00003397827,0.0004891177,0.00011743177,0.000012187085,0.00014568886],"genre_scores_gemma":[0.9996997,0.000023400336,0.000018780263,0.000011149415,0.000079911755,0.000015901576,0.000007801826,0.000012125712,0.00013122846],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99907035,0.00015799886,0.00014141126,0.0002475968,0.00022636607,0.00015628806],"domain_scores_gemma":[0.99960446,0.000031999847,0.00007659588,0.0001335286,0.0000069283888,0.00014647482],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013987214,0.00014421676,0.000271485,0.00002169189,0.00010280297,0.00002056265,0.00009626518,0.000036717058,0.00021794201],"category_scores_gemma":[0.0000045443408,0.00011853195,0.000054665066,0.000024232599,0.00022320732,0.00015777179,0.00001759055,0.00010078882,0.000011980926],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008916393,0.000347331,0.90616333,0.000020187563,0.000007394487,0.000002612186,0.0028460806,6.263636e-7,0.044173233,0.0000024567073,6.183547e-7,0.04634696],"study_design_scores_gemma":[0.00053715066,0.0002567693,0.99388576,0.000055086923,0.000113780356,2.7819818e-8,0.00010767888,0.00001281101,0.00489046,0.000015304637,0.000005205223,0.00011997028],"about_ca_topic_score_codex":0.0007954733,"about_ca_topic_score_gemma":0.000028564344,"teacher_disagreement_score":0.08772242,"about_ca_system_score_codex":0.000021971686,"about_ca_system_score_gemma":0.0000074564964,"threshold_uncertainty_score":0.48335928},"labels":[],"label_agreement":null},{"id":"W2051565075","doi":"10.7202/018490ar","title":"Mobilité quotidienne dans la communauté métropolitaine de Québec d’adolescents résidant en territoires rurbains","year":2008,"lang":"fr","type":"article","venue":"Enfances Familles Générations","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":102,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.01363005523984902,"score_gpt":0.28011389035595025,"score_spread":0.26648383511610124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2051565075","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9236922,0.0066463132,0.0015815155,0.0050506736,0.0010050694,0.000552931,0.0002880567,0.00023653623,0.060946673],"genre_scores_gemma":[0.9648047,0.0025879531,0.0009349993,0.00030229826,0.0009235952,0.00010284178,0.00008128008,0.000048940856,0.030213373],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9956783,0.0011847846,0.00083599734,0.0006499044,0.00057726103,0.0010737497],"domain_scores_gemma":[0.99771285,0.0007015417,0.00025857575,0.000734098,0.00015699043,0.00043593525],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.00074495206,0.00047317348,0.00056693505,0.00012815945,0.0025849966,0.000109754576,0.0010074542,0.00037781274,0.00023918059],"category_scores_gemma":[0.00028527042,0.0004840905,0.00038953315,0.0007668615,0.0043345587,0.00085576717,0.00011170758,0.0006571872,0.00009519899],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026171932,0.0011852012,0.778406,0.00010133259,0.00008594755,0.000075815675,0.17882718,0.00025498075,0.00032171689,0.03757897,0.002011684,0.001124971],"study_design_scores_gemma":[0.0008222952,0.0001528812,0.86315936,0.0004938716,0.00015048943,0.000024867593,0.05781125,0.0008744122,0.00028828066,0.007018617,0.06838276,0.0008208959],"about_ca_topic_score_codex":0.33764553,"about_ca_topic_score_gemma":0.5871572,"teacher_disagreement_score":0.24951166,"about_ca_system_score_codex":0.0012136553,"about_ca_system_score_gemma":0.0018317221,"threshold_uncertainty_score":0.9997611},"labels":[],"label_agreement":null},{"id":"W2052293340","doi":"10.3141/2134-17","title":"Activity Rescheduling Strategies and Decision Processes in Day-to-Day Life","year":2009,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Schedule; Operations research; Duration (music); Time horizon; Decision process; Scheduling (production processes); Operations management; Recall; Psychology; Decision model; Computer science; Process management; Engineering; Business; Cognitive psychology","score_opus":0.10552432970793067,"score_gpt":0.43681760765789385,"score_spread":0.33129327794996316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2052293340","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98790973,0.00040849185,0.0027176132,0.0072247763,0.00024677548,0.0010700233,0.000018589843,0.000029808029,0.00037417316],"genre_scores_gemma":[0.99635977,0.0013745788,0.0017879807,0.00008042674,0.00022247841,0.000028333436,0.0000035967819,0.000022899225,0.00011993648],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9919741,0.0014550453,0.0011628749,0.00052606233,0.0038587742,0.0010231017],"domain_scores_gemma":[0.9934475,0.0023896266,0.00030608906,0.00034633407,0.002779172,0.00073130516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011802017,0.00023154143,0.0004820615,0.0011521215,0.0010742199,0.0004859013,0.0011042469,0.0002383672,0.000145151],"category_scores_gemma":[0.001556358,0.00018181786,0.00017899237,0.0040784515,0.0007529154,0.0023383042,0.000005517704,0.001968358,0.0000068266904],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0028176496,0.0006608863,0.8778584,0.00029101444,0.00005209304,0.00014838173,0.04448832,0.001392438,0.0032687562,0.004254755,0.0007186129,0.0640487],"study_design_scores_gemma":[0.00087860995,0.00037338768,0.96909285,0.00054013386,0.000018266734,4.130692e-8,0.009144503,0.000020639922,0.00044992485,0.01679988,0.0024966872,0.00018508681],"about_ca_topic_score_codex":0.020702494,"about_ca_topic_score_gemma":0.43278873,"teacher_disagreement_score":0.41208625,"about_ca_system_score_codex":0.00023419004,"about_ca_system_score_gemma":0.00327598,"threshold_uncertainty_score":0.98581874},"labels":[],"label_agreement":null},{"id":"W2052432561","doi":"10.1186/1476-072x-13-33","title":"Spatial optimization of residential care facility locations in Beijing, China: maximum equity in accessibility","year":2014,"lang":"en","type":"article","venue":"International Journal of Health Geographics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":127,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"National Natural Science Foundation of China; Louisiana State University","keywords":"Beijing; Distance decay; Equity (law); Geography; Population; China; Business; Environmental health; Medicine","score_opus":0.02817819335108732,"score_gpt":0.3876056058662274,"score_spread":0.35942741251514004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2052432561","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95541465,0.0004821217,0.039294675,0.0027886392,0.0010607105,0.00023336438,0.000044694647,0.000010540107,0.0006705773],"genre_scores_gemma":[0.998598,0.0002820118,0.00082931214,0.00007742508,0.00016869267,0.0000029323348,0.00003376321,0.0000042948245,0.0000035633182],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99645513,0.0005916217,0.0014291485,0.0002093206,0.0010508399,0.0002639402],"domain_scores_gemma":[0.9977505,0.00012340011,0.00097184087,0.00016025528,0.00088048144,0.00011351942],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046619503,0.00010512761,0.00033139196,0.0005823544,0.00014461459,0.000061444596,0.00074571546,0.00012297629,0.00010413549],"category_scores_gemma":[0.00063687743,0.00010585144,0.00014565155,0.0005118762,0.00028965154,0.00058683415,0.00006626687,0.00039353044,4.6173218e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009435699,0.0002329527,0.96708316,0.000062359395,0.000011914881,0.000002531117,0.003795874,0.0053221015,0.0000022512015,0.00038040782,0.000009894179,0.023002198],"study_design_scores_gemma":[0.0007461747,0.00006705657,0.9928071,0.00013370543,0.0000064730266,5.0005633e-7,0.0009778487,0.0005932782,0.000011015627,0.0043049557,0.00027080806,0.000081088365],"about_ca_topic_score_codex":0.027748063,"about_ca_topic_score_gemma":0.10079165,"teacher_disagreement_score":0.073043585,"about_ca_system_score_codex":0.00037199623,"about_ca_system_score_gemma":0.0010283128,"threshold_uncertainty_score":0.97872627},"labels":[],"label_agreement":null},{"id":"W2052671294","doi":"10.1111/socf.12057","title":"Downshifting: An Exploration of Motivations, Quality of Life, and Environmental Practices","year":2013,"lang":"en","type":"article","venue":"Sociological Forum","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":65,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Work (physics); Quality of life (healthcare); Order (exchange); Sociology; Business; Psychology; Engineering","score_opus":0.1592303570176645,"score_gpt":0.3831730148930612,"score_spread":0.22394265787539672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2052671294","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996229,0.00010964557,0.00015562818,0.0019160493,0.000027165179,0.00019585688,0.000013394487,0.000018148967,0.0013351297],"genre_scores_gemma":[0.999399,0.000053306452,0.00033951012,0.000090146736,0.000036655107,0.000011674426,0.000029754634,0.0000015379095,0.00003840407],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990048,0.00028903165,0.00028004998,0.00014106568,0.00015876305,0.0001262875],"domain_scores_gemma":[0.9991638,0.00025885997,0.00039693515,0.00008410752,0.00002642377,0.00006985005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006952156,0.000050760256,0.00014476033,0.000012181388,0.00018548177,0.000013694341,0.00010099765,0.00011420051,0.0003875167],"category_scores_gemma":[0.00067510066,0.000038519327,0.000037617818,0.00004775335,0.00065501133,0.0012634585,0.00001918434,0.000077441975,0.0000028274565],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008907057,0.0001315619,0.9819953,0.00000765346,0.000005302769,2.182653e-8,0.0033215778,5.8379817e-7,0.0017920283,0.011996979,0.00003010137,0.00071001454],"study_design_scores_gemma":[0.000101405436,0.000061467166,0.92480975,0.0000017714872,0.0000036425756,4.0567336e-9,0.033620764,0.000006923755,0.000114073606,0.041064963,0.00016317911,0.00005203033],"about_ca_topic_score_codex":0.0014185837,"about_ca_topic_score_gemma":0.00018935978,"teacher_disagreement_score":0.057185493,"about_ca_system_score_codex":0.000012445321,"about_ca_system_score_gemma":0.000026699065,"threshold_uncertainty_score":0.42430362},"labels":[],"label_agreement":null},{"id":"W205294530","doi":"","title":"Restructuration métropolitaine à Montréal entre 1998 et 2008 : l'évolution des liens entre le lieu de résidence et le lieu d'emploi.","year":2014,"lang":"fr","type":"article","venue":"EspaceINRS Institutional Digital Repository (Institut National de la Recherche Scientifique)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.05169060638307189,"score_gpt":0.3225300844611587,"score_spread":0.27083947807808684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W205294530","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5634382,0.0037528328,0.072170705,0.012155426,0.0026384606,0.00086125254,0.00034013193,0.00036351633,0.34427947],"genre_scores_gemma":[0.95862365,0.00038105476,0.012013902,0.00048867235,0.00092898525,0.00007205184,0.0003485081,0.000038496222,0.02710469],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99192816,0.0029560558,0.0009264578,0.0012062825,0.001936906,0.0010461651],"domain_scores_gemma":[0.99528474,0.0020246534,0.00046655277,0.00041382454,0.0011265293,0.0006837236],"candidate_categories":["metaresearch","metaepi_narrow","sts","scholarly_communication"],"consensus_categories":["sts"],"category_scores_codex":[0.0066856467,0.00057286746,0.0004379018,0.00035150198,0.0026445745,0.0016750924,0.00077542634,0.0010608379,0.00003705258],"category_scores_gemma":[0.008464655,0.0006287559,0.00044049876,0.0014703217,0.006788664,0.005962464,0.0001615984,0.0013867286,0.00009754758],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.00014953187,0.0009408907,0.027104747,0.00020225163,0.00010448537,0.00007351644,0.004502585,0.018962506,0.0045698923,0.93353456,0.0042893724,0.0055656494],"study_design_scores_gemma":[0.0019618953,0.00013415418,0.16824313,0.0012774185,0.00013269136,0.0003374511,0.0016387105,0.011230147,0.0059419395,0.4692608,0.33834803,0.0014936256],"about_ca_topic_score_codex":0.009788895,"about_ca_topic_score_gemma":0.0075298636,"teacher_disagreement_score":0.46427375,"about_ca_system_score_codex":0.0051486385,"about_ca_system_score_gemma":0.016957127,"threshold_uncertainty_score":0.99988747},"labels":[],"label_agreement":null},{"id":"W2053031068","doi":"10.1007/s11116-007-9146-4","title":"An integrated spatio-temporal GIS toolkit for exploring intra-household interactions","year":2007,"lang":"en","type":"article","venue":"Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":49,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Set (abstract data type); Space (punctuation); Computer science; Travel survey; Joint (building); Travel behavior; Variation (astronomy); Core (optical fiber); Duration (music); Mode (computer interface); Data mining; Operations research; Geography; Transport engineering; Mathematics; Engineering; Human–computer interaction","score_opus":0.09561829344839483,"score_gpt":0.34322417494977026,"score_spread":0.2476058815013754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2053031068","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8864569,0.000011964944,0.11140241,0.00017023801,0.0005689803,0.00042144864,0.000071474846,0.00028000562,0.0006165474],"genre_scores_gemma":[0.9947483,0.000009091509,0.0035591377,0.000060347047,0.000301014,0.00006264927,0.0010359249,0.000021166556,0.0002023608],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987192,0.000029923336,0.0004183791,0.00028037943,0.0002374525,0.0003146331],"domain_scores_gemma":[0.9993369,0.00008959151,0.00011251312,0.00015266147,0.00015699459,0.00015136007],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074906944,0.00012435453,0.0001444759,0.00011462032,0.0004016079,0.00006864491,0.00017378764,0.000078845034,0.0001979261],"category_scores_gemma":[0.000022454447,0.00012917623,0.000096839714,0.0003653411,0.00010148844,0.0015902905,4.5634644e-7,0.00014048618,0.000004646736],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004504212,0.00035849004,0.904419,0.000047998194,0.000032601747,0.000009721048,0.042190026,0.00025462944,0.00084441266,0.0067151943,0.00020662026,0.044470888],"study_design_scores_gemma":[0.00055697217,0.00009428415,0.92669696,0.000037590846,0.00006864167,7.277631e-8,0.010334024,0.00010511061,0.0034108325,0.0012939713,0.057094123,0.0003074288],"about_ca_topic_score_codex":0.00825942,"about_ca_topic_score_gemma":0.26441368,"teacher_disagreement_score":0.25615427,"about_ca_system_score_codex":0.00011141078,"about_ca_system_score_gemma":0.000104892344,"threshold_uncertainty_score":0.99834466},"labels":[],"label_agreement":null},{"id":"W2053462223","doi":"10.1177/0013916511402061","title":"Pedestrian-Friendly Environments and Active Travel for Residents of Multifamily Housing","year":2011,"lang":"en","type":"article","venue":"Environment and Behavior","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Pedestrian; Travel behavior; Active living; Built environment; Quarter (Canadian coin); Perception; Transport engineering; Psychology; Business; Physical activity; Marketing; Geography; Advertising; Engineering; Civil engineering; Medicine","score_opus":0.04983444894445003,"score_gpt":0.2845479891691554,"score_spread":0.2347135402247054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2053462223","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99855554,0.00014231399,0.00029783757,0.00001362083,0.000052504085,0.00048290656,0.000039963354,0.0000066901316,0.00040861234],"genre_scores_gemma":[0.99783367,0.0002623788,0.001325252,0.0000076060483,0.000029829362,0.000042347692,0.0000075706835,0.000009523136,0.00048180434],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99916303,0.00002968106,0.0001819902,0.00024938642,0.00018226642,0.0001936696],"domain_scores_gemma":[0.9996727,0.000028410523,0.00009618528,0.00010343848,0.000002772225,0.0000964733],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018193226,0.00010343737,0.00014643915,0.000029735305,0.00023398032,0.000011988736,0.00008618435,0.00008315962,0.00014186266],"category_scores_gemma":[0.000007285091,0.00009894301,0.00004229993,0.00002241552,0.00045037759,0.00021990006,0.00002483743,0.000053981086,0.000001804467],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000783617,0.00035242757,0.96396065,0.000014213622,0.00000989578,0.0000026962257,0.007691291,5.1198818e-8,0.0066835983,0.000043719552,0.000006215596,0.021156903],"study_design_scores_gemma":[0.0005791716,0.00009377603,0.98888004,0.0000082213255,0.00013021984,8.2166956e-8,0.0023570533,9.502334e-7,0.0074639493,0.00011699274,0.00025573996,0.00011380638],"about_ca_topic_score_codex":0.001452583,"about_ca_topic_score_gemma":0.00018166516,"teacher_disagreement_score":0.02491941,"about_ca_system_score_codex":0.000031292668,"about_ca_system_score_gemma":0.000011452745,"threshold_uncertainty_score":0.4034779},"labels":[],"label_agreement":null},{"id":"W2053650210","doi":"10.1016/j.healthplace.2013.01.009","title":"Is walkability associated with a lower cardiometabolic risk?","year":2013,"lang":"en","type":"article","venue":"Health & Place","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":83,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Douglas Mental Health University Institute","funders":"National Medical Research Council; National Health and Medical Research Council; University of South Australia","keywords":"Walkability; Environmental health; Built environment; Geography; Level design; Medicine; Transport engineering; Computer science; Civil engineering; Engineering","score_opus":0.020982103828216418,"score_gpt":0.3082081861526331,"score_spread":0.2872260823244167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2053650210","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98412335,0.00043244113,0.000075390926,0.0060544023,0.00024134241,0.0007922218,0.000043046144,0.00017501153,0.008062769],"genre_scores_gemma":[0.9956254,0.000100046644,0.00012578855,0.0012484471,0.00013985249,0.000051924868,0.000009792694,0.000012855519,0.0026858982],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99761766,0.0004794602,0.0003025447,0.00039486683,0.0005370773,0.00066840014],"domain_scores_gemma":[0.99865913,0.00018230424,0.00022412115,0.00034381502,0.00019888954,0.00039176497],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0018856341,0.00014216956,0.0003546051,0.000049071004,0.00078251574,0.00008554671,0.000235219,0.0001180638,0.0016461343],"category_scores_gemma":[0.00026888758,0.00011385482,0.000092596914,0.0006938669,0.00028295725,0.00037677248,0.000014817708,0.00028479693,0.00017742158],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002125825,0.00014208192,0.97775257,0.00002094842,0.000029117027,0.0000011769348,0.0075887204,0.0000023786085,7.095966e-7,0.000055267137,0.010370269,0.004015523],"study_design_scores_gemma":[0.00036216126,0.00006695562,0.95534927,0.000023007435,0.000018067234,8.2781355e-8,0.0008562884,0.000035373534,0.000003463074,0.00048049234,0.042643886,0.0001609709],"about_ca_topic_score_codex":0.09352934,"about_ca_topic_score_gemma":0.032760136,"teacher_disagreement_score":0.060769204,"about_ca_system_score_codex":0.00030955093,"about_ca_system_score_gemma":0.0008420745,"threshold_uncertainty_score":0.9992665},"labels":[],"label_agreement":null},{"id":"W2053776921","doi":"10.1016/j.aap.2011.02.005","title":"The link between built environment, pedestrian activity and pedestrian–vehicle collision occurrence at signalized intersections","year":2011,"lang":"en","type":"article","venue":"Accident Analysis & Prevention","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":329,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Montreal Police Service; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Pedestrian; Intersection (aeronautics); Collision; Transport engineering; Computer science; Poison control; Pedestrian crossing; Engineering; Simulation; Computer security; Environmental health; Medicine","score_opus":0.06059518161758761,"score_gpt":0.3266337983600974,"score_spread":0.26603861674250984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2053776921","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99400914,0.0002880131,0.004066632,0.00044144047,0.0000922672,0.00036992386,0.0000035249561,0.000050782935,0.0006782811],"genre_scores_gemma":[0.9975453,0.00072926044,0.00003974365,0.000005174489,0.0001829239,0.00003128044,0.00004767807,0.0000055143687,0.0014131217],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99796325,0.00051307125,0.00038368016,0.00043321328,0.00041045522,0.0002963438],"domain_scores_gemma":[0.9988496,0.00025113102,0.00034754133,0.00035012828,0.000048617658,0.00015300701],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0013852948,0.00015162915,0.0002611223,0.0001314138,0.001641026,0.00016343314,0.0003473285,0.00012340388,0.0008959412],"category_scores_gemma":[0.000105381456,0.00012456278,0.00034248276,0.0006963436,0.0002785516,0.0006391033,0.0001055701,0.00016832177,0.000030864023],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000064371234,0.000040152034,0.9757204,0.00000126905,0.00025745033,8.3585905e-7,0.0013837748,0.0000030525475,0.00013514482,0.000013008078,0.00003339704,0.02234715],"study_design_scores_gemma":[0.0002950141,0.000046718626,0.9926798,0.000009445856,0.0013773132,6.4792275e-8,0.00048083096,0.000053658994,0.00071710435,0.0018346513,0.002354535,0.00015090633],"about_ca_topic_score_codex":0.018061193,"about_ca_topic_score_gemma":0.22723557,"teacher_disagreement_score":0.20917438,"about_ca_system_score_codex":0.00015776856,"about_ca_system_score_gemma":0.000053850035,"threshold_uncertainty_score":0.9996587},"labels":[],"label_agreement":null},{"id":"W2054399242","doi":"10.1289/ehp.109-a418a","title":"A Less Trashy Nova Scotia","year":2001,"lang":"en","type":"article","venue":"Environmental Health Perspectives","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nova scotia; Library science; License; Download; Political science; World Wide Web; History; Computer science; Law; Archaeology","score_opus":0.03468787735913571,"score_gpt":0.3385956894963666,"score_spread":0.3039078121372309,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054399242","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9709275,0.0023319968,0.00013881535,0.0044858106,0.0001879333,0.00033140703,0.000017485172,0.00007741448,0.021501645],"genre_scores_gemma":[0.9965243,0.0006869223,0.00019920961,0.00033203152,0.00029791123,0.000004347082,0.000008388675,0.000012719519,0.0019342252],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984706,0.00014191555,0.00020180928,0.00037503015,0.00034026292,0.00047039252],"domain_scores_gemma":[0.9994701,0.000034084045,0.00007536956,0.00016925884,0.0000043157534,0.00024682755],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00039815233,0.00012188811,0.00017260404,0.000046078,0.0005549689,0.000030382813,0.0001973219,0.000063822474,0.0029472567],"category_scores_gemma":[0.000009038027,0.00012416806,0.00008068919,0.00015326511,0.00062436785,0.00029956814,0.000016916923,0.00017043231,0.0001840408],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035775603,0.00074358727,0.8936802,0.0000109436305,0.000012488898,0.000010913046,0.0896808,0.0000018025073,0.00006769412,0.0016870333,0.00045554226,0.013613193],"study_design_scores_gemma":[0.0002842069,0.000076636614,0.80116725,0.000012209765,0.000004206773,9.4371717e-7,0.1831345,0.000002409448,0.000017034661,0.00046175515,0.014684787,0.00015405662],"about_ca_topic_score_codex":0.012232243,"about_ca_topic_score_gemma":0.018316068,"teacher_disagreement_score":0.09345369,"about_ca_system_score_codex":0.00065233256,"about_ca_system_score_gemma":0.00011098309,"threshold_uncertainty_score":0.99959713},"labels":[],"label_agreement":null},{"id":"W2055161600","doi":"10.3141/2231-06","title":"Subjective Measure of Car Dependence","year":2011,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver Community College; University of British Columbia","funders":"","keywords":"Measure (data warehouse); Econometrics; Linkage (software); Causality (physics); Psychology; Structural equation modeling; Population; Sample (material); Statistics; Economics; Mathematics; Computer science; Environmental health; Data mining; Medicine","score_opus":0.17672785651173695,"score_gpt":0.4128211075477534,"score_spread":0.23609325103601647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2055161600","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99271303,0.0003041332,0.00081947295,0.0007101885,0.0005365777,0.00095012254,0.00005553227,0.000025705223,0.0038852529],"genre_scores_gemma":[0.9973855,0.00052198145,0.0011709727,0.000016380962,0.00017294147,0.00003304652,0.000004457257,0.000033338165,0.00066136295],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9893983,0.0022044354,0.0014742332,0.00041236784,0.005556355,0.00095433666],"domain_scores_gemma":[0.9902007,0.000823171,0.000646673,0.0005050083,0.0073502096,0.0004742129],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.009796321,0.00021338026,0.00050547725,0.0007951903,0.0009887732,0.00006187303,0.0018755479,0.00027351984,0.001059432],"category_scores_gemma":[0.00042290747,0.0001637701,0.0005309716,0.0028911256,0.0022804064,0.0010947388,0.000005616835,0.002075807,0.000013688139],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013238968,0.0003507523,0.9498185,0.00012334535,0.00012125289,0.00006725968,0.036069047,0.000019356368,0.0016149,0.007198921,0.00044761453,0.0028451781],"study_design_scores_gemma":[0.0007633985,0.00035407284,0.9695176,0.00025618804,0.000060805898,7.3753135e-8,0.011939412,0.0000032558019,0.005301076,0.009185851,0.0024599119,0.00015834133],"about_ca_topic_score_codex":0.11368365,"about_ca_topic_score_gemma":0.3666722,"teacher_disagreement_score":0.25298855,"about_ca_system_score_codex":0.00025360505,"about_ca_system_score_gemma":0.0019132255,"threshold_uncertainty_score":0.99985373},"labels":[],"label_agreement":null},{"id":"W2055613674","doi":"10.1080/01490400701394865","title":"Environmental Correlates of Physical Activity: A Review of Evidence about Parks and Recreation","year":2007,"lang":"en","type":"review","venue":"Leisure Sciences","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":777,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Recreation; Physical activity; Place attachment; Psychology; Social psychology; Ecology; Biology; Medicine","score_opus":0.15744638910548495,"score_gpt":0.43372773859874364,"score_spread":0.27628134949325867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2055613674","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008355863,0.98959064,0.000011318844,0.00004057449,0.000097017844,0.00072197424,0.000023825494,0.000012416406,0.0011463694],"genre_scores_gemma":[0.03008593,0.96962005,0.000070216935,0.0000051630464,0.00008468678,0.000013963911,0.0000045275333,0.0000057038537,0.000109731955],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977297,0.00033271057,0.00043669777,0.00044671248,0.0008140107,0.00024014415],"domain_scores_gemma":[0.9980561,0.00085818593,0.0007776354,0.0001901875,0.000033196106,0.00008468036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002815716,0.00020184857,0.001203978,0.00009071637,0.00023419314,0.000027029411,0.00046128235,0.00016626097,0.00008384879],"category_scores_gemma":[0.00026161643,0.00012962018,0.00028659494,0.00067931594,0.0026174672,0.0004996992,0.000044085053,0.00021070658,0.0000031675193],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000021492535,0.00008014512,0.014653468,0.024128199,0.00001379302,7.54058e-7,0.00046260268,4.665297e-8,0.0000019511856,0.00017505283,0.000013094945,0.96046877],"study_design_scores_gemma":[0.000083767445,0.00027745374,0.022438174,0.35571584,0.0012715884,0.0000020323182,0.0002855256,0.000009550852,0.00003516635,0.00030445043,0.6189725,0.0006039748],"about_ca_topic_score_codex":0.00033801937,"about_ca_topic_score_gemma":0.00009462682,"teacher_disagreement_score":0.9598648,"about_ca_system_score_codex":0.000047607384,"about_ca_system_score_gemma":0.00041316144,"threshold_uncertainty_score":0.96441674},"labels":[],"label_agreement":null},{"id":"W2055661957","doi":"10.1016/s1499-2671(08)24090-6","title":"Urban Environments and Walkability: Definition and Calculation of a Walkability Index for Toronto, Canada.","year":2008,"lang":"en","type":"article","venue":"Canadian Journal of Diabetes","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"","keywords":"Walkability; Neighbourhood (mathematics); Built environment; Environmental health; Index (typography); Medicine; Geography; Physical activity; Civil engineering","score_opus":0.018335775797854045,"score_gpt":0.22352741919933128,"score_spread":0.20519164340147722,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2055661957","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99763376,0.0014969062,0.000024976385,0.00027092296,0.00009958747,0.00015407793,0.000056920366,0.0000013089975,0.00026154218],"genre_scores_gemma":[0.9997175,0.000019452358,0.00010292268,0.000052711563,0.00006669426,0.0000025117915,0.0000047272015,0.0000044304556,0.00002910449],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99914086,0.000058458976,0.0002995726,0.000112509326,0.00017232467,0.00021629136],"domain_scores_gemma":[0.9991062,0.00012344428,0.0002079593,0.00007454649,0.00008308445,0.0004047241],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046647186,0.00007143799,0.00019287826,0.000034676534,0.00028428712,0.000013841213,0.00008067642,0.00006608638,0.00004805427],"category_scores_gemma":[0.00023145213,0.000069649555,0.0000410515,0.00004968451,0.00042195938,0.0003005697,0.0000031575812,0.00006010857,3.173071e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000032514497,0.000010158667,0.9961991,0.000023150795,0.000014145099,9.735472e-7,0.0017853443,7.994468e-7,0.000033535198,0.00008938425,0.00026202702,0.001578145],"study_design_scores_gemma":[0.0002627084,0.000046638826,0.99524033,0.000016987922,0.000024132516,2.8494796e-7,0.00040481446,0.00002178812,0.000075884374,0.0011059204,0.0027290042,0.00007147928],"about_ca_topic_score_codex":0.70282453,"about_ca_topic_score_gemma":0.98858666,"teacher_disagreement_score":0.28576216,"about_ca_system_score_codex":0.00037181488,"about_ca_system_score_gemma":0.0015132121,"threshold_uncertainty_score":0.2991544},"labels":[],"label_agreement":null},{"id":"W2056216793","doi":"10.1080/19407963.2013.789729","title":"Comparing the costs and health benefits of a proposed rail trail","year":2013,"lang":"en","type":"article","venue":"Journal of Policy Research in Tourism Leisure and Events","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia; Acadia University","funders":"","keywords":"Nova scotia; TRIPS architecture; Health benefits; Terrain; Cost–benefit analysis; Geography; Value (mathematics); Transport engineering; Environmental science; Business; Agricultural economics; Statistics; Engineering; Economics; Medicine; Mathematics; Cartography; Political science","score_opus":0.16614030320505038,"score_gpt":0.4464824898541939,"score_spread":0.28034218664914357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056216793","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97048974,0.001527809,0.0000021364062,0.026397077,0.000040316885,0.00033025382,0.0000020660368,0.0000021521766,0.0012084525],"genre_scores_gemma":[0.9983953,0.00092053716,0.0000424564,0.000055992055,0.0003886096,0.0000028435607,2.8856914e-7,0.0000049654677,0.00018900077],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978014,0.00050436356,0.00045086935,0.00010584106,0.00072760705,0.00040988898],"domain_scores_gemma":[0.9989899,0.00020195273,0.00021521634,0.00009355596,0.0002521453,0.00024726335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0056876317,0.00006953507,0.00028793624,0.00025509854,0.00031564222,0.00006735467,0.00029185545,0.00006314068,0.000018409499],"category_scores_gemma":[0.00015034211,0.000044593857,0.000046513156,0.0004518619,0.0003643826,0.00034679286,0.000043640808,0.0004900882,0.0000010860113],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036016605,0.00012371496,0.961767,0.00006364796,0.000017905233,0.0000026762457,0.008940247,0.0000027481574,0.00003830174,0.00067893387,0.0022081998,0.0261206],"study_design_scores_gemma":[0.0006243108,0.00014069535,0.9900315,0.00020207316,0.00000281104,0.0000023571397,0.0020342928,0.000012892453,0.000035202003,0.0059512574,0.0009193298,0.000043269352],"about_ca_topic_score_codex":0.044029277,"about_ca_topic_score_gemma":0.0076349033,"teacher_disagreement_score":0.036394373,"about_ca_system_score_codex":0.0001176639,"about_ca_system_score_gemma":0.00065372116,"threshold_uncertainty_score":0.9623366},"labels":[],"label_agreement":null},{"id":"W2056849512","doi":"10.1068/b36022","title":"Movement Surface: A Multilevel Approach for Predicting Visitor Movement in Nature Areas","year":2011,"lang":"en","type":"article","venue":"Environment and Planning B Planning and Design","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Visitor pattern; Movement (music); Recreation; Destinations; Computer science; Motion (physics); Tourism; Geography; Artificial intelligence; Ecology","score_opus":0.05311024654486168,"score_gpt":0.2734832957348644,"score_spread":0.22037304919000272,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056849512","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93043303,0.0023336702,0.06384886,0.00003335454,0.00012082735,0.00082560524,0.00002239695,0.00005756385,0.002324682],"genre_scores_gemma":[0.97263837,0.00003594163,0.026642283,0.00013938562,0.00012593382,0.00004832002,0.000029010725,0.000013371635,0.00032739458],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986038,0.00009392828,0.0002469251,0.0004348102,0.00023722585,0.0003833115],"domain_scores_gemma":[0.9994656,0.00018398363,0.00009759678,0.00010644821,0.000007672387,0.0001387039],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011146342,0.00018583382,0.00021005426,0.00005807794,0.00044602077,0.00006188273,0.00011487457,0.00020703714,0.000024603036],"category_scores_gemma":[0.000034066063,0.00017281868,0.00003258978,0.00004954133,0.00012141546,0.00018471999,0.00002791697,0.00024678616,5.118804e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017415425,0.000105899366,0.96905583,0.00003507364,0.000023580857,0.000010412438,0.027520794,0.001994016,0.00013113821,0.00010969129,0.00019822858,0.0006412078],"study_design_scores_gemma":[0.0012042539,0.00016328738,0.9682593,0.00015062407,0.0000437313,2.8177357e-7,0.0097146155,0.017384695,0.0005309421,0.0013190839,0.0008148727,0.00041436453],"about_ca_topic_score_codex":0.0003504754,"about_ca_topic_score_gemma":0.0000038637204,"teacher_disagreement_score":0.04220532,"about_ca_system_score_codex":0.00004671053,"about_ca_system_score_gemma":0.000028220036,"threshold_uncertainty_score":0.70473415},"labels":[],"label_agreement":null},{"id":"W2057072802","doi":"10.1068/a46203","title":"Compact Development without Transit: Life-Cycle GHG Emissions from Four Variations of Residential Density in Vancouver","year":2014,"lang":"en","type":"article","venue":"Environment and Planning A Economy and Space","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Compact city; Neighbourhood (mathematics); Greenhouse gas; Destinations; Transit (satellite); Transit-oriented development; Social connectedness; Transport engineering; Bus rapid transit; Built environment; Environmental science; Economic geography; Geography; Business; Public transport; Urban planning; Engineering; Civil engineering; Tourism; Mathematics","score_opus":0.01649717313592317,"score_gpt":0.2332862616518701,"score_spread":0.21678908851594694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2057072802","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9922519,0.0001139735,0.0039866194,0.0003106337,0.000053768916,0.00009767611,0.0000053586396,0.000009419862,0.0031707047],"genre_scores_gemma":[0.99863946,0.000021004595,0.00091928255,0.000037006997,0.000058279158,0.0000020535983,0.0000076036104,0.000003379482,0.0003119007],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99935603,0.00006887158,0.00017646096,0.00019167646,0.00007210317,0.00013483802],"domain_scores_gemma":[0.99962026,0.00011112392,0.00007177231,0.00007345568,0.0000035148382,0.00011985903],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003433903,0.0000805307,0.0001737822,0.00003418126,0.0002569491,0.00002550631,0.00005451527,0.000064915235,0.00015030123],"category_scores_gemma":[0.000018818264,0.00008010026,0.000017942684,0.00002921102,0.0001023685,0.00015251039,0.000010870126,0.00008507577,0.0000017374524],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024524825,0.000029164863,0.9856079,0.000006130299,0.000014081505,0.0000010057645,0.013377239,0.00026387832,0.000026612426,0.0001013304,0.0001255871,0.0004225417],"study_design_scores_gemma":[0.0003969809,0.000009507441,0.9836415,0.000031889114,0.000017426308,4.01181e-8,0.0012637281,0.0005418388,0.000088090914,0.0010038319,0.012892691,0.00011249643],"about_ca_topic_score_codex":0.0024587077,"about_ca_topic_score_gemma":0.005490513,"teacher_disagreement_score":0.0127671035,"about_ca_system_score_codex":0.000021934477,"about_ca_system_score_gemma":0.000045365654,"threshold_uncertainty_score":0.3716847},"labels":[],"label_agreement":null},{"id":"W2058017918","doi":"10.1186/s12889-015-1788-0","title":"Cross-sectional associations between residential environmental exposures and cardiovascular diseases","year":2015,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":89,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"St. Michael's Hospital","funders":"Canadian Institutes of Health Research","keywords":"Environmental health; Neighbourhood (mathematics); Odds; Medicine; Biostatistics; Built environment; Cross-sectional study; Confounding; Recreation; Public health; Socioeconomic status; Exposure assessment; Odds ratio; Geography; Gerontology; Population; Logistic regression; Engineering","score_opus":0.08913007047375952,"score_gpt":0.35319848886106614,"score_spread":0.2640684183873066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058017918","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946979,0.0020249777,0.0005035911,0.00071413483,0.00024587175,0.00022429186,0.0003751243,0.00008021349,0.0011338593],"genre_scores_gemma":[0.99833167,0.000038691374,0.00012024307,0.00007079869,0.00089595583,0.000011497288,0.00019718711,0.0000070761507,0.00032686253],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978624,0.00041560305,0.00029043815,0.00029053062,0.0007697027,0.00037131927],"domain_scores_gemma":[0.99893963,0.00009061409,0.00008841705,0.00016914555,0.00004053703,0.00067167066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022739363,0.000078615936,0.00020154363,0.000054993743,0.00081268355,0.0002912574,0.0001550128,0.00008199569,0.000113098606],"category_scores_gemma":[0.00031206023,0.000079881174,0.00012812892,0.00013445054,0.00029108586,0.00059687917,0.000032141917,0.000095225056,0.000012000779],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000019907577,0.00004323413,0.9970183,0.000005078557,0.000040512128,4.2966604e-7,0.0012616708,0.0000019419995,9.303756e-8,0.0003574676,0.0004139012,0.00085538026],"study_design_scores_gemma":[0.00030609974,0.00001827947,0.9827957,0.0000010790118,0.000012046973,9.419559e-8,0.0005644697,0.0000012883108,2.6798787e-7,0.0008651778,0.015355658,0.00007980175],"about_ca_topic_score_codex":0.008594554,"about_ca_topic_score_gemma":0.0027725103,"teacher_disagreement_score":0.014941757,"about_ca_system_score_codex":0.00034644955,"about_ca_system_score_gemma":0.0014559609,"threshold_uncertainty_score":0.9980073},"labels":[],"label_agreement":null},{"id":"W2058018726","doi":"10.1136/injuryprev-2012-040580c.45","title":"HELMET USE IN BIXI CYCLISTS IN TORONTO, CANADA: AN OBSERVATIONAL STUDY","year":2012,"lang":"en","type":"article","venue":"Injury Prevention","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"","keywords":"Evening; Poison control; Injury prevention; Morning; Human factors and ergonomics; Suicide prevention; Cycling; Downtown; Occupational safety and health; Medicine; Transport engineering; Environmental health; Engineering; Geography","score_opus":0.1500593612839521,"score_gpt":0.4140624815056442,"score_spread":0.2640031202216921,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058018726","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982149,0.00006686916,0.000009067749,0.000058229754,0.00035413183,0.0003967453,0.0000129829,0.000016819,0.0008702569],"genre_scores_gemma":[0.99899036,0.000003751533,0.00007949554,0.000044201206,0.00014065045,0.00003204362,0.000039386785,0.000004496871,0.00066561584],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986933,0.0003130372,0.0002725859,0.00015960731,0.0003161912,0.00024528115],"domain_scores_gemma":[0.9996603,0.000034923498,0.00006261022,0.00012757567,0.000032691165,0.000081871665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012012528,0.00006645646,0.00010447022,0.00003149904,0.00008693233,0.000033151,0.00013415387,0.000051912808,0.0004152919],"category_scores_gemma":[0.00007048852,0.00007081878,0.000022184011,0.00020132273,0.000025474152,0.0023022084,0.000011562462,0.0000759184,0.0000015348234],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001998897,0.0006720756,0.99429935,0.0000027059011,0.0000026549837,0.0000011437467,0.0023281805,0.0000011119304,0.000028424729,0.0004936306,0.00008500625,0.0020657324],"study_design_scores_gemma":[0.00018223305,0.000023892715,0.9957926,0.000009483205,0.0000048406387,1.4569298e-8,0.0023161727,0.0000045944894,0.000011275797,0.00034904727,0.0012227128,0.00008308074],"about_ca_topic_score_codex":0.9714325,"about_ca_topic_score_gemma":0.9995858,"teacher_disagreement_score":0.028153308,"about_ca_system_score_codex":0.0008828192,"about_ca_system_score_gemma":0.0003600576,"threshold_uncertainty_score":0.4547155},"labels":[],"label_agreement":null},{"id":"W2058507107","doi":"10.1007/s11116-012-9428-3","title":"Impact of ICT access on personal activity space and greenhouse gas production: evidence from Quebec City, Canada","year":2012,"lang":"en","type":"article","venue":"Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval; McGill University","funders":"Social Sciences and Humanities Research Council of Canada; Ministère des Transports","keywords":"Mobile phone; Neighbourhood (mathematics); Information and Communications Technology; The Internet; Greenhouse gas; Geography; Business; Environmental economics; Engineering; Telecommunications; Computer science; Economics; Mathematics; World Wide Web","score_opus":0.05640389012021239,"score_gpt":0.34251656848206946,"score_spread":0.28611267836185705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058507107","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983058,0.00015190447,0.00006486326,0.0007444397,0.00023342807,0.00023455365,0.000087523105,0.000030861902,0.00014663585],"genre_scores_gemma":[0.99943805,0.00005387344,0.000026433414,0.000011362654,0.000252846,0.0000064149904,0.000026302452,0.0000074395966,0.00017727133],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99882615,0.00007084397,0.00016178063,0.00023627903,0.00046892077,0.00023605795],"domain_scores_gemma":[0.99938214,0.00010730354,0.00013912006,0.00012545692,0.000089671856,0.00015631127],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029017916,0.00011823162,0.00016750209,0.00003329964,0.00019227504,0.000030087553,0.00013139681,0.00006346784,0.0003016043],"category_scores_gemma":[0.000045160115,0.00010633655,0.00006453762,0.00022363436,0.00015871105,0.001508804,0.0000018804138,0.00011778015,6.760283e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014637425,0.000101578225,0.9851722,0.000021203516,0.000022037455,0.0000012086011,0.011153028,0.000016107668,0.00058072316,0.00003242326,0.00014326927,0.0026098222],"study_design_scores_gemma":[0.00011110342,0.000030176187,0.9977689,0.00005205928,0.000044814667,3.915573e-8,0.00033788968,0.000005551707,0.001427478,0.0000541354,0.000053384338,0.000114518545],"about_ca_topic_score_codex":0.9926908,"about_ca_topic_score_gemma":0.99686015,"teacher_disagreement_score":0.012596625,"about_ca_system_score_codex":0.00021850223,"about_ca_system_score_gemma":0.0006932867,"threshold_uncertainty_score":0.43362784},"labels":[],"label_agreement":null},{"id":"W2058842580","doi":"10.1249/01.mss.0000227639.83607.4d","title":"Neighborhood Environment Walkability Scale","year":2006,"lang":"en","type":"article","venue":"Medicine & Science in Sports & Exercise","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":812,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Heart, Lung, and Blood Institute","keywords":"Walkability; Recreation; Sample (material); Socioeconomic status; Scale (ratio); Confirmatory factor analysis; Psychology; Applied psychology; Destinations; Built environment; Multilevel model; Geography; Transport engineering; Environmental health; Structural equation modeling; Tourism; Statistics; Medicine; Mathematics; Engineering; Cartography","score_opus":0.01090566046134617,"score_gpt":0.26831920338599274,"score_spread":0.2574135429246466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058842580","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94679326,0.00011559164,0.00006633978,0.00236594,0.00053470844,0.00049309875,0.0000019006841,0.00007986309,0.04954931],"genre_scores_gemma":[0.99781984,0.00013220024,0.0001857173,0.00012476245,0.00031071703,0.000031389736,0.0000057335324,0.000008602836,0.0013810289],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99590003,0.000046125402,0.0006070739,0.0007923767,0.0018563826,0.00079797825],"domain_scores_gemma":[0.99887806,0.000049573184,0.00014332407,0.0005675363,0.00007267752,0.00028883648],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004308817,0.00019352986,0.00037769167,0.00023443908,0.0006373363,0.000044821467,0.0007791956,0.00008657206,0.0026662515],"category_scores_gemma":[0.000084909385,0.00015676788,0.00006209086,0.001414616,0.0052242083,0.0010590289,0.00005602855,0.00021203786,0.000029026038],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001016897,0.00020159152,0.9786398,0.000007275245,3.9313193e-8,0.000024457251,0.002507803,0.000016780974,0.00007326499,0.00010792416,0.00021873429,0.018192172],"study_design_scores_gemma":[0.0002762069,0.000020858026,0.98254484,0.000060099817,0.000014199385,3.680799e-7,0.0013568876,0.0000274191,0.000022582826,0.0075883474,0.007905551,0.00018262466],"about_ca_topic_score_codex":0.014445713,"about_ca_topic_score_gemma":0.003135483,"teacher_disagreement_score":0.0510266,"about_ca_system_score_codex":0.00034096008,"about_ca_system_score_gemma":0.00034269338,"threshold_uncertainty_score":0.9982454},"labels":[],"label_agreement":null},{"id":"W2058889417","doi":"10.5539/jsd.v4n5p229","title":"Inequity in the Provision of Public Bus Service for Socially Disadvantaged Groups","year":2011,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Disadvantaged; Metropolitan area; Equity (law); Public transport; Business; Distribution (mathematics); Bus rapid transit; Social equality; Economic growth; Service (business); Resource distribution; Public economics; Economics; Geography; Marketing; Political science; Resource allocation","score_opus":0.0614799371825453,"score_gpt":0.3112168130754378,"score_spread":0.2497368758928925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058889417","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944972,0.00011754719,0.0010305326,0.0017063774,0.00009999557,0.0005393387,8.728708e-7,0.0000054563957,0.0020026797],"genre_scores_gemma":[0.99693745,0.000016721693,0.0025808983,0.00012508134,0.00007290587,0.00001579533,0.000001788414,0.000005583705,0.00024374563],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99821216,0.00015803945,0.00063506037,0.00010215346,0.00050657155,0.0003860051],"domain_scores_gemma":[0.9982564,0.00011182888,0.0004735236,0.000090244335,0.0009936944,0.00007435048],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006038688,0.00008677049,0.0002220698,0.00013539722,0.00034564693,0.000049411494,0.0005957557,0.00006953839,0.000049029844],"category_scores_gemma":[0.00031469052,0.000058525224,0.00007476394,0.0005585595,0.00008967428,0.0007224247,0.00003748116,0.00016116473,4.6167824e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030985652,0.0010460359,0.52075976,0.0004963879,0.000055229233,0.00009654065,0.43356252,0.0000019016954,0.00007398509,0.03215619,0.00026526029,0.011176357],"study_design_scores_gemma":[0.0007339867,0.0000855578,0.7473799,0.00003575392,0.000018094737,7.315285e-7,0.21812412,0.0000015077311,0.00025601443,0.018846061,0.014402752,0.000115500945],"about_ca_topic_score_codex":0.0005245918,"about_ca_topic_score_gemma":0.0034096446,"teacher_disagreement_score":0.22662018,"about_ca_system_score_codex":0.0003058554,"about_ca_system_score_gemma":0.0024372248,"threshold_uncertainty_score":0.4323532},"labels":[],"label_agreement":null},{"id":"W2059149276","doi":"10.3141/1870-14","title":"Rules for Assessing Data Quality of Activity-Scheduling Survey Respondents","year":2004,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Respondent; Data quality; Quality (philosophy); Computer science; Survey data collection; Data collection; Statistics; Engineering; Operations management; Mathematics","score_opus":0.43874162331641214,"score_gpt":0.548229707298668,"score_spread":0.1094880839822559,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2059149276","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9852441,0.00023649556,0.009190468,0.002702953,0.00054137915,0.0012593291,0.0006895727,0.00002354396,0.00011215719],"genre_scores_gemma":[0.9938847,0.0005598399,0.0048641944,0.000016499584,0.00023915086,0.000029376695,0.00012580794,0.000041364467,0.00023907155],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98734605,0.0037790686,0.0019028836,0.0006117057,0.0053412965,0.0010190131],"domain_scores_gemma":[0.9874026,0.003948854,0.0010412078,0.000944909,0.006249861,0.00041254077],"candidate_categories":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.03698986,0.00022791243,0.00066695677,0.00075271336,0.0014934656,0.00028135843,0.0029329075,0.00027949532,0.00012559214],"category_scores_gemma":[0.0023966953,0.00018577701,0.00041494955,0.0022590186,0.0015798575,0.0025881634,0.00001564338,0.0017000011,0.0000041499984],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0033379155,0.0006528898,0.9756963,0.00042286556,0.00015668051,0.00001454403,0.005274487,0.00047550348,0.0051451633,0.0035155877,0.0004062978,0.004901729],"study_design_scores_gemma":[0.0019226103,0.00015657803,0.9803942,0.00034050026,0.000045327273,2.3698119e-8,0.0032094237,0.00001807079,0.0017047253,0.010198492,0.0018289804,0.00018110493],"about_ca_topic_score_codex":0.14645775,"about_ca_topic_score_gemma":0.42879263,"teacher_disagreement_score":0.2823349,"about_ca_system_score_codex":0.00036121605,"about_ca_system_score_gemma":0.003348936,"threshold_uncertainty_score":0.99980646},"labels":[],"label_agreement":null},{"id":"W2059491618","doi":"10.2495/sdp-v6-n4-404-419","title":"Accessibility as a framework for sustainable transportation planning in the tijuana-rosarito-tecate metropolitan region","year":2011,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Urban density; Land use; Urban planning; TRIPS architecture; Urban structure; Geography; Sustainability; Compact city; Transport engineering; Regional science; Environmental planning; Transportation planning; Population; Land-use planning; Sustainable transport; Urban sprawl; Business; Civil engineering; Engineering","score_opus":0.05288649768104696,"score_gpt":0.34453187940061447,"score_spread":0.2916453817195675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2059491618","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9840747,0.0005063964,0.010633607,0.00046908425,0.00020614716,0.0003383734,0.0000010814994,0.00001341125,0.003757173],"genre_scores_gemma":[0.9949298,0.00001686888,0.0041179885,0.00015747827,0.00022635296,0.00002129092,0.000012531979,0.0000085252605,0.00050919206],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99817383,0.00009309597,0.00058947643,0.00019161768,0.00052211265,0.00042984518],"domain_scores_gemma":[0.9982474,0.0002856555,0.0004007861,0.00007512917,0.0009038979,0.000087161796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023947034,0.00013300238,0.00019908027,0.0003441555,0.00046128695,0.0002343698,0.00060292875,0.0001157461,0.000027022263],"category_scores_gemma":[0.00051967346,0.0001048901,0.00007307006,0.0003234326,0.00011874253,0.0012420298,0.000016200975,0.00028615774,3.2686626e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007050507,0.00012534695,0.6292459,0.00008400836,0.000078979145,0.0023644497,0.21145067,0.00001570097,0.0000020843872,0.15475559,0.00017750305,0.00099477],"study_design_scores_gemma":[0.00043954924,0.000049325663,0.43372452,0.00013965061,0.000020949272,0.000004914191,0.44564813,0.0000050473996,0.00014732366,0.11192648,0.0077585084,0.00013559427],"about_ca_topic_score_codex":0.0015801853,"about_ca_topic_score_gemma":0.00009600278,"teacher_disagreement_score":0.23419747,"about_ca_system_score_codex":0.00043188603,"about_ca_system_score_gemma":0.00059781864,"threshold_uncertainty_score":0.42772943},"labels":[],"label_agreement":null},{"id":"W2059690785","doi":"10.1177/0013916512440705","title":"Where Do Children Travel to and What Local Opportunities Are Available? The Relationship Between Neighborhood Destinations and Children’s Independent Mobility","year":2012,"lang":"en","type":"article","venue":"Environment and Behavior","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":120,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; University of Alberta","funders":"","keywords":"Destinations; Odds; Feeling; Recreation; Psychology; Odds ratio; Geography; Tourism; Demography; Medicine; Social psychology; Sociology; Logistic regression; Political science","score_opus":0.06612268100534731,"score_gpt":0.2762731121638014,"score_spread":0.2101504311584541,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2059690785","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946186,0.003570742,0.000111142384,0.00081164757,0.000040610215,0.000659727,0.000049256236,0.000018260405,0.00012002233],"genre_scores_gemma":[0.9986061,0.00062490895,0.000046803034,0.00003546515,0.00012500759,0.00007460601,0.000023479673,0.0000090524145,0.00045459482],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988654,0.00012167454,0.00019310921,0.00026929978,0.0002787668,0.00027171566],"domain_scores_gemma":[0.99932194,0.00014190527,0.00007059942,0.00017593404,0.000007761452,0.00028186504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065399933,0.00014182866,0.00014173776,0.000034726036,0.00085091847,0.0002298158,0.00011323887,0.000118849945,0.0003434106],"category_scores_gemma":[0.000019446321,0.00011061294,0.000028219156,0.000053705462,0.0005729227,0.0009329189,0.00006406515,0.00019595388,0.000010649893],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000026420205,0.00012965963,0.9835546,0.0000038534217,0.000006233591,3.1448482e-7,0.0032729362,1.6953139e-7,0.000002446964,0.00022450536,0.000029554089,0.01277307],"study_design_scores_gemma":[0.00017724036,0.000023877112,0.9924301,0.000019224908,0.0001619729,0.0000011245888,0.0067270384,2.5135787e-7,0.000010202114,0.00012458491,0.0001743177,0.00015009855],"about_ca_topic_score_codex":0.00036915412,"about_ca_topic_score_gemma":0.0003263868,"teacher_disagreement_score":0.012622971,"about_ca_system_score_codex":0.00005343029,"about_ca_system_score_gemma":0.00001877083,"threshold_uncertainty_score":0.65446633},"labels":[],"label_agreement":null},{"id":"W2059936242","doi":"10.1016/s0966-6923(02)00010-8","title":"Commute minimization in the Greater Toronto Area: applying a modified excess commute","year":2002,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":76,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"","keywords":"Benchmark (surveying); Minification; Segmentation; Transport engineering; Measure (data warehouse); Computer science; Econometrics; Geography; Mathematics; Engineering; Data mining; Artificial intelligence; Cartography","score_opus":0.04232078406982794,"score_gpt":0.2761984731478269,"score_spread":0.23387768907799897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2059936242","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98434854,0.0013855039,0.000987185,0.0012472833,0.0002475577,0.0003539832,0.000011196178,0.000022051694,0.011396689],"genre_scores_gemma":[0.9985769,0.0006297598,0.00024553208,0.00030640248,0.00016535488,0.000015924114,0.000006875397,0.000009878,0.000043417815],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99790716,0.00020405422,0.0007147511,0.00014860602,0.0006909258,0.0003344896],"domain_scores_gemma":[0.99906605,0.00008641763,0.0003347547,0.000253715,0.00014878999,0.00011024537],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013288799,0.00015982018,0.00033237596,0.00015865067,0.00038263394,0.0000763028,0.0008164013,0.00012088494,0.00043711354],"category_scores_gemma":[0.000008264002,0.00011206697,0.0003719271,0.0005339596,0.0002552946,0.0008792995,0.00000454574,0.00033184423,0.0000010705037],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006110667,0.00028127767,0.97049874,0.000019724697,0.000046870286,0.000066976914,0.0264565,0.00012244534,0.000008242595,0.00008768796,0.0002674714,0.0020829663],"study_design_scores_gemma":[0.0009652961,0.000068519446,0.9828678,0.00008899569,0.00011878127,0.000004333689,0.0044162674,0.00008572347,0.000011085653,0.00061482325,0.010562601,0.0001957915],"about_ca_topic_score_codex":0.0036325678,"about_ca_topic_score_gemma":0.019768653,"teacher_disagreement_score":0.022040231,"about_ca_system_score_codex":0.0000483108,"about_ca_system_score_gemma":0.000028947128,"threshold_uncertainty_score":0.99811804},"labels":[],"label_agreement":null},{"id":"W2060042341","doi":"10.5038/2375-0901.10.4.9","title":"Employer Perceptions and Implementation of Commute Alternatives Strategies","year":2007,"lang":"en","type":"article","venue":"Journal of Public Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Atlanta; Metropolitan area; Business; Equity (law); Work (physics); Quarter (Canadian coin); Transport engineering; Demand management; Marketing; Economics; Engineering; Geography; Political science","score_opus":0.03773066177337779,"score_gpt":0.38643130090919736,"score_spread":0.34870063913581956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2060042341","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9812433,0.00010693169,0.017325105,0.00061527564,0.00011512437,0.00008540729,0.000014470489,0.000009212165,0.00048518612],"genre_scores_gemma":[0.998737,0.000119218625,0.0009896419,0.000015799471,0.00010113712,6.4966605e-7,0.000013664924,0.0000041315993,0.000018751087],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988592,0.000057520418,0.0005318839,0.00006520835,0.0003484824,0.00013767253],"domain_scores_gemma":[0.99901485,0.0000644122,0.0004075931,0.000046185087,0.00037327156,0.00009369865],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015087464,0.00005761976,0.00013173888,0.00016087953,0.00014033286,0.000054712138,0.000113643,0.000042572687,0.00021451151],"category_scores_gemma":[0.00001141157,0.000051702158,0.00006905099,0.0001949046,0.00018871897,0.0015241728,8.6154165e-7,0.00009949471,2.389277e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014562132,0.000055159595,0.94157726,0.00001662777,0.000028118639,0.0000028700395,0.033696834,0.0000028668032,0.0013351636,0.011274967,0.000021485654,0.011974106],"study_design_scores_gemma":[0.0003409884,0.000059551803,0.9208252,0.000010358769,0.000030941224,3.5697445e-7,0.07544889,4.2959766e-7,0.00028226257,0.002297448,0.00065772096,0.000045870056],"about_ca_topic_score_codex":0.0012243594,"about_ca_topic_score_gemma":0.042589173,"teacher_disagreement_score":0.041752055,"about_ca_system_score_codex":0.000030872976,"about_ca_system_score_gemma":0.00020284334,"threshold_uncertainty_score":0.97488105},"labels":[],"label_agreement":null},{"id":"W2060293930","doi":"10.1016/j.socscimed.2011.08.032","title":"Aging in neighborhoods differing in walkability and income: Associations with physical activity and obesity in older adults","year":2011,"lang":"en","type":"article","venue":"Social Science & Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":339,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Vancouver Community College","funders":"National Heart, Lung, and Blood Institute","keywords":"Walkability; Gerontology; Body mass index; Level design; Built environment; Obesity; Demography; Observational study; Physical activity; Medicine; Psychology; Geography; Physical medicine and rehabilitation; Sociology","score_opus":0.017527360606562976,"score_gpt":0.3063845794854526,"score_spread":0.28885721887888965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2060293930","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965222,0.000021721255,0.000012875781,0.00056530064,0.000051822237,0.00030391454,0.0000018635902,0.000020564357,0.0024997238],"genre_scores_gemma":[0.9998397,0.0000085234815,0.000011434197,0.000027192726,0.000090574475,0.00001184557,5.13849e-7,0.0000034489383,0.0000067549804],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99839234,0.00013465974,0.00016749225,0.00041792146,0.0004683549,0.00041921786],"domain_scores_gemma":[0.99954695,0.0001146283,0.00007953885,0.00008668999,0.000048497008,0.00012370596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001984416,0.00010879278,0.00029240968,0.0001452724,0.00040083975,0.000023470775,0.00018766985,0.00006688014,0.000016287944],"category_scores_gemma":[0.0002743015,0.0000871457,0.0000140524135,0.0014763013,0.0023000757,0.00070762006,0.000042888056,0.00028436436,1.4220403e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016733627,0.00018134841,0.84975666,0.000012164241,6.809685e-7,0.000003598093,0.14452936,3.6528533e-8,0.00008306385,0.00054883835,1.3983451e-7,0.0048674014],"study_design_scores_gemma":[0.0007762711,0.000027106284,0.9920841,0.000096251155,0.000004638456,5.5333174e-8,0.004691166,0.000058869486,0.000038989212,0.0021183493,7.5414994e-7,0.000103440514],"about_ca_topic_score_codex":0.043894216,"about_ca_topic_score_gemma":0.09004489,"teacher_disagreement_score":0.14232747,"about_ca_system_score_codex":0.00031147606,"about_ca_system_score_gemma":0.00017755642,"threshold_uncertainty_score":0.96247256},"labels":[],"label_agreement":null},{"id":"W2060465256","doi":"10.1080/08995600701869585","title":"Shipboard Habitability in the U.S. Navy","year":2008,"lang":"en","type":"article","venue":"Military Psychology","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"U.S. Department of Defense","keywords":"Habitability; Navy; Quality of life (healthcare); Psychology; Work (physics); Workforce; Life satisfaction; Applied psychology; Operations research; Political science; Engineering; Social psychology; Psychotherapist; Law","score_opus":0.058752104951540485,"score_gpt":0.36159148456453577,"score_spread":0.3028393796129953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2060465256","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9393921,0.0011747706,0.000022384786,0.008599447,0.00039977953,0.0002578425,0.0000052822147,0.00005079466,0.050097603],"genre_scores_gemma":[0.9969971,0.000107116255,0.00016147742,0.0022801005,0.00017666139,0.000028846724,0.000006925708,0.000004831678,0.00023692305],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980902,0.0006169825,0.0002767802,0.00037519287,0.00024334356,0.00039751],"domain_scores_gemma":[0.999211,0.00018113625,0.00002211724,0.0004919768,0.000031560045,0.00006216954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015553588,0.00009921418,0.00016656004,0.000050102874,0.00039845068,0.000003773412,0.0006317295,0.00014196867,0.0006326729],"category_scores_gemma":[0.00010335332,0.00007377993,0.00009411051,0.00041765152,0.0012446623,0.000170018,0.000012090145,0.00029310377,0.0000919005],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003901705,0.00024241132,0.9717849,0.0000035665148,0.0000029634245,0.00005235005,0.02182687,7.6695744e-7,0.000022385788,0.00041288495,0.0046334043,0.0009784928],"study_design_scores_gemma":[0.0002368996,0.00003367851,0.9509195,0.000001908705,0.0000029039702,0.000002687135,0.0012425066,9.412655e-7,0.000002150642,0.006808021,0.04066474,0.00008402268],"about_ca_topic_score_codex":0.0063361404,"about_ca_topic_score_gemma":0.030645518,"teacher_disagreement_score":0.057605024,"about_ca_system_score_codex":0.000038146216,"about_ca_system_score_gemma":0.00007261051,"threshold_uncertainty_score":0.98704267},"labels":[],"label_agreement":null},{"id":"W2060479986","doi":"10.1186/1471-2458-14-511","title":"Compliance potential mapping: a tool to assess potential contributions of walking towards physical activity guidelines","year":2014,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal; McMaster University","funders":"Canadian Institutes of Health Research","keywords":"Biostatistics; Medicine; Compliance (psychology); Public health; Physical activity; Environmental health; Physical medicine and rehabilitation; Nursing; Social psychology","score_opus":0.18244427352478335,"score_gpt":0.43280129229758285,"score_spread":0.2503570187727995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2060479986","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.66101295,0.000016462041,0.321015,0.0163517,0.00039118167,0.00038975297,0.000076185985,0.000096353215,0.00065042294],"genre_scores_gemma":[0.99413323,0.0000050503268,0.0040986775,0.0004945753,0.0010658094,0.000024373738,0.00002187721,0.000009922144,0.00014647664],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99711037,0.0005605325,0.000471565,0.00040747866,0.0007113135,0.00073874963],"domain_scores_gemma":[0.9980671,0.00008875308,0.00027896493,0.0003329581,0.0007717207,0.00046052405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034877947,0.00014937787,0.00045624553,0.00009727048,0.0006927695,0.00014719843,0.00047506954,0.00009362929,0.000065997534],"category_scores_gemma":[0.0013484468,0.00014227333,0.00018078962,0.0006254186,0.0002031391,0.00048376317,0.00006977348,0.00018531202,0.000012817598],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001800816,0.0038049044,0.1471156,0.00091404986,0.00012342642,0.0000053185195,0.01171862,0.00030528428,0.0070974496,0.06559566,0.010914047,0.7522256],"study_design_scores_gemma":[0.000683767,0.000092776674,0.942039,0.000071384784,0.000012713758,5.5897453e-7,0.0006766195,0.0056368583,0.00017771087,0.0017315603,0.048565358,0.00031167478],"about_ca_topic_score_codex":0.006473035,"about_ca_topic_score_gemma":0.0012320082,"teacher_disagreement_score":0.7949234,"about_ca_system_score_codex":0.00024893033,"about_ca_system_score_gemma":0.002289507,"threshold_uncertainty_score":0.9785336},"labels":[],"label_agreement":null},{"id":"W2061062475","doi":"10.1007/s11116-014-9514-9","title":"A meta-model of vehicle ownership choice parameters","year":2014,"lang":"en","type":"article","venue":"Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Econometrics; Pooling; Multinomial logistic regression; Constant (computer programming); Economics; Function (biology); Logit; Statistics; Mathematics; Computer science","score_opus":0.1115314333452785,"score_gpt":0.31568240702457506,"score_spread":0.20415097367929658,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061062475","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9896446,0.00003541428,0.006743958,0.00034477276,0.00005149942,0.00014221708,0.000017035503,0.000060542534,0.0029599888],"genre_scores_gemma":[0.9979673,0.0000059070676,0.0015060913,0.00009587808,0.000027397062,0.000014383945,0.000029031822,0.0000070146725,0.00034698125],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990293,0.00006585961,0.00026258113,0.00017417662,0.00029881313,0.00016926188],"domain_scores_gemma":[0.9994872,0.00011333499,0.00011479449,0.0001371489,0.000074309304,0.000073173615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056200766,0.00007924559,0.00020119485,0.00003797619,0.00010811754,0.000012090344,0.00015254738,0.00007025973,0.00012418148],"category_scores_gemma":[0.000031420434,0.00006786507,0.00016344766,0.00018741626,0.00016091955,0.0002791142,4.5022801e-7,0.000067149886,0.000004849123],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000086693704,0.0002544105,0.91593564,0.00014780728,0.0005101846,7.1718995e-7,0.033742934,0.0065187444,0.004708279,0.03237967,0.0000831545,0.0056317565],"study_design_scores_gemma":[0.00081585924,0.00007091011,0.96118486,0.000018427118,0.0025422904,8.327149e-9,0.0008188398,0.0044767894,0.0070956256,0.020622086,0.001980888,0.0003733979],"about_ca_topic_score_codex":0.0037945264,"about_ca_topic_score_gemma":0.016506296,"teacher_disagreement_score":0.045249227,"about_ca_system_score_codex":0.000013285141,"about_ca_system_score_gemma":0.000051935556,"threshold_uncertainty_score":0.92109007},"labels":[],"label_agreement":null},{"id":"W2061171440","doi":"10.1145/2535708.2535715","title":"Exploring the intra-urban variations in the relationship among geographic accessibility to PHC services and socio-demographic factors","year":2013,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Saskatchewan","funders":"Canadian Institutes of Health Research; University of Saskatchewan","keywords":"Ordinary least squares; Geographically Weighted Regression; Geography; Regression analysis; Statistics; Regression; Scale (ratio); Geographic information system; Census; Logistic regression; Econometrics; Variables; Computer science; Cartography; Population; Mathematics; Environmental health; Medicine","score_opus":0.07794387972037271,"score_gpt":0.2926941523160211,"score_spread":0.21475027259564838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061171440","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9916655,0.000049696177,0.000078672434,0.004549826,0.00014130148,0.0009582941,0.0000036600802,0.000089808294,0.0024632858],"genre_scores_gemma":[0.99908566,0.000018413268,0.00006490426,0.0004024363,0.000100377205,0.0002519499,0.0000056733925,0.0000073163546,0.000063259875],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980877,0.00044397454,0.0003494561,0.00035877113,0.00039100958,0.0003690835],"domain_scores_gemma":[0.9982554,0.0010635353,0.0000855465,0.00038538867,0.00008489578,0.00012524024],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0018068062,0.0001488962,0.00014464575,0.00015670707,0.0015109839,0.00052826526,0.0007060437,0.00008529143,0.0002095011],"category_scores_gemma":[0.00015122908,0.00008277338,0.000086514636,0.0015520557,0.00045128318,0.0020371731,0.000045783672,0.00028778377,0.0000075768903],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000013795238,0.000039309667,0.94871324,0.000010287489,0.0000070719893,1.402501e-7,0.045878083,0.0000012224696,0.0000032369508,0.005033388,0.000034798173,0.00027786044],"study_design_scores_gemma":[0.00007111005,0.0000075849775,0.9526063,0.000012776957,0.000016512678,1.8870892e-8,0.029808298,0.000019214245,0.0000025933366,0.017203886,0.000134994,0.00011670978],"about_ca_topic_score_codex":0.05037382,"about_ca_topic_score_gemma":0.1103105,"teacher_disagreement_score":0.05993668,"about_ca_system_score_codex":0.000028842738,"about_ca_system_score_gemma":0.000040844538,"threshold_uncertainty_score":0.99978894},"labels":[],"label_agreement":null},{"id":"W2061254827","doi":"10.4081/jphia.2012.e12","title":"Where do overweight women in Ghana live? Answers from exploratory spatial data analysis","year":2012,"lang":"en","type":"article","venue":"Journal of Public Health in Africa","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"University of Ghana; William and Flora Hewlett Foundation","keywords":"Overweight; Context (archaeology); Geography; Obesity; Body mass index; Quarter (Canadian coin); Exploratory research; Environmental health; Cluster analysis; Population; Demography; Socioeconomics; Medicine; Sociology; Computer science; Social science","score_opus":0.11745094665855678,"score_gpt":0.3533028811599064,"score_spread":0.2358519345013496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061254827","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97481495,0.008835639,0.0009423161,0.01235092,0.0006616317,0.0001621038,0.000114676026,0.000014301733,0.0021034484],"genre_scores_gemma":[0.9976491,0.00051733817,0.0008213829,0.00020022853,0.00073262374,0.0000036822962,0.000013411254,0.000008098916,0.00005413256],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9958865,0.0010547767,0.0010193614,0.00024183631,0.0007087214,0.0010887771],"domain_scores_gemma":[0.99753803,0.00023351231,0.00066526124,0.0004232755,0.000116195915,0.0010237003],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.014157016,0.0001222015,0.00058010913,0.00062340323,0.0001566235,0.00012174613,0.00097265205,0.00012677182,0.0017336432],"category_scores_gemma":[0.00046401788,0.000106715044,0.000093531446,0.0019432779,0.00012484359,0.0026672513,0.00006735947,0.00048741398,0.000009866005],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018326464,0.00040653534,0.8824835,0.000013568079,0.00007623935,0.000008438634,0.10182307,0.0000016035143,7.8056826e-7,0.000048870606,0.0019602152,0.013158869],"study_design_scores_gemma":[0.0005137255,0.000053914675,0.736021,0.00004005543,0.000027625405,1.249549e-7,0.051496707,0.000055255077,2.881345e-7,0.00044984202,0.21118914,0.00015233818],"about_ca_topic_score_codex":0.011715097,"about_ca_topic_score_gemma":0.051656462,"teacher_disagreement_score":0.20922892,"about_ca_system_score_codex":0.0011658135,"about_ca_system_score_gemma":0.0020261225,"threshold_uncertainty_score":0.9991789},"labels":[],"label_agreement":null},{"id":"W2061396499","doi":"10.1016/j.healthplace.2010.06.016","title":"Using experienced activity spaces to measure foodscape exposure","year":2010,"lang":"en","type":"article","venue":"Health & Place","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":175,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de Santé Publique du Québec; Université Laval; Université de Montréal","funders":"","keywords":"Geography; Environmental health; Space (punctuation); Psychology; Medicine; Computer science","score_opus":0.07648198472349972,"score_gpt":0.38986153111245175,"score_spread":0.31337954638895205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061396499","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9894437,0.0001305976,0.000636215,0.005186425,0.0009840914,0.00050141546,0.0000071383265,0.00012892316,0.0029814986],"genre_scores_gemma":[0.9958474,0.0000050915164,0.0026906717,0.0006314394,0.00040953737,0.000018325565,0.0000010456282,0.000011259251,0.00038524496],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99818164,0.00017999715,0.00019108481,0.00037304577,0.00049635314,0.00057788414],"domain_scores_gemma":[0.99890083,0.000085737774,0.0001139501,0.00028747084,0.00009019247,0.0005217983],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013369868,0.00012937933,0.00021944713,0.00005192325,0.0010013599,0.00010384143,0.00029071805,0.00013797097,0.00032651064],"category_scores_gemma":[0.0001965988,0.00012399754,0.000054999848,0.00041733423,0.00014837348,0.00039154215,0.000022494181,0.00033262285,0.000021690536],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003866828,0.0004941271,0.6866865,0.00022640373,0.000020922564,0.000017679524,0.21451041,0.000043838067,0.025955599,0.0022920805,0.003251726,0.066114046],"study_design_scores_gemma":[0.001654192,0.0007189965,0.6188296,0.00025470674,0.000027377282,0.000005224775,0.03858377,0.00029180397,0.006138512,0.00068142754,0.33117792,0.0016364768],"about_ca_topic_score_codex":0.009928299,"about_ca_topic_score_gemma":0.072551236,"teacher_disagreement_score":0.3279262,"about_ca_system_score_codex":0.000115579576,"about_ca_system_score_gemma":0.0010313549,"threshold_uncertainty_score":0.9966647},"labels":[],"label_agreement":null},{"id":"W2061451021","doi":"10.1680/muen.2003.156.1.3","title":"Green municipal engineering for sustainable communities","year":2003,"lang":"en","type":"article","venue":"Proceedings of the Institution of Civil Engineers - Municipal Engineer","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Plan (archaeology); Stormwater management; Sustainability; Green infrastructure; Neighbourhood (mathematics); Pedestrian; Environmental planning; Function (biology); Architectural engineering; Business; Environmental resource management; Engineering; Transport engineering; Stormwater; Geography; Environmental science; Ecology","score_opus":0.019678732934464004,"score_gpt":0.25348798386768245,"score_spread":0.23380925093321844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061451021","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9597927,0.00059098453,0.0013185261,0.00019351701,0.00043553906,0.00092660787,0.000021224565,0.00015878648,0.03656216],"genre_scores_gemma":[0.9973696,0.00003309532,0.0009415232,0.000018266583,0.000078932084,0.00006776463,0.0000041791454,0.000026556303,0.0014601124],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983402,0.000015040133,0.0004959194,0.00015761581,0.00044204082,0.0005492052],"domain_scores_gemma":[0.9986548,0.00014740389,0.000194596,0.00024662222,0.0006451886,0.000111411966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012500831,0.00023091465,0.00037284475,0.00022191899,0.0003497123,0.00003713694,0.0008774584,0.00018324754,0.00004622413],"category_scores_gemma":[0.0007370027,0.00020475259,0.00026623573,0.0007259604,0.0004561417,0.00070275296,0.00006218159,0.00028760216,5.265233e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042836786,0.00014596395,0.004683623,0.0010590996,0.00012221976,3.952008e-7,0.027113272,0.04008945,0.0009791508,0.92553556,0.00019155642,0.000036889905],"study_design_scores_gemma":[0.0066990186,0.0005395652,0.0130425915,0.0018736813,0.0010657164,0.0000080801865,0.18046628,0.07001065,0.047104266,0.01517228,0.6610078,0.0030100325],"about_ca_topic_score_codex":0.0040973066,"about_ca_topic_score_gemma":0.00091265613,"teacher_disagreement_score":0.91036326,"about_ca_system_score_codex":0.00014895159,"about_ca_system_score_gemma":0.00015391204,"threshold_uncertainty_score":0.8349568},"labels":[],"label_agreement":null},{"id":"W2061649002","doi":"10.1002/atr.106","title":"Model of personal attitudes towards transit service quality","year":2010,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":108,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Calgary; University of Toronto","funders":"","keywords":"Multinomial logistic regression; Transit (satellite); Reliability (semiconductor); Latent variable; Service quality; Transport engineering; Perception; Service (business); Public transport; Quality (philosophy); Business; Computer science; Marketing; Psychology; Engineering","score_opus":0.04480772207004855,"score_gpt":0.3582700714044495,"score_spread":0.3134623493344009,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061649002","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99386925,0.0000522617,0.0042425506,0.0008867455,0.00034758126,0.00010519509,0.00004389373,0.000015243101,0.0004372625],"genre_scores_gemma":[0.9906547,0.000043335385,0.009028522,0.00007516001,0.00013946419,0.0000014384992,0.000010729477,0.0000083612695,0.0000382946],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982968,0.00003997754,0.0007087807,0.0001295069,0.0006571356,0.00016782785],"domain_scores_gemma":[0.9984668,0.00004698322,0.0005170638,0.00009033396,0.0007494581,0.00012938297],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086114346,0.00010271828,0.00029029895,0.00007268352,0.00012650432,0.000014051066,0.00023488591,0.00011066027,0.00016980775],"category_scores_gemma":[0.000032766122,0.00009362844,0.00020456543,0.00025340842,0.00014697315,0.0010350593,6.426716e-7,0.00033066882,6.351618e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010475256,0.0007688949,0.50814307,0.00044843068,0.00011381082,0.000010608859,0.13047072,0.020871053,0.31098258,0.0052506565,0.000012535667,0.021880096],"study_design_scores_gemma":[0.0007166137,0.000042951528,0.99111164,0.00003840968,0.000064911364,2.5955114e-7,0.0022619602,0.00008298483,0.0030609518,0.0023148188,0.00018463202,0.00011985934],"about_ca_topic_score_codex":0.00052266195,"about_ca_topic_score_gemma":0.02073332,"teacher_disagreement_score":0.48296857,"about_ca_system_score_codex":0.000024675244,"about_ca_system_score_gemma":0.0004167199,"threshold_uncertainty_score":0.99713576},"labels":[],"label_agreement":null},{"id":"W2061896303","doi":"10.3390/ijerph9082601","title":"Field Validation of Food Service Listings: A Comparison of Commercial and Online Geographic Information System Databases","year":2012,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Kingston General Hospital; Queen's University","funders":"Canadian Institutes of Health Research; Heart and Stroke Foundation of Canada","keywords":"Database; Service (business); Field (mathematics); Geographic information system; Global Positioning System; Computer science; Matching (statistics); Online database; Geography; Remote sensing; Business; Statistics; Marketing; Mathematics; Telecommunications","score_opus":0.1632210764917112,"score_gpt":0.43909541161116455,"score_spread":0.27587433511945336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061896303","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99588495,0.0005255432,0.00020549355,0.0028562248,0.00011144292,0.00009588642,0.00017957368,0.00000205707,0.00013885043],"genre_scores_gemma":[0.9991907,0.000306685,0.00020050614,0.000091667076,0.00014653358,8.061384e-7,0.000059446418,0.0000017049994,0.0000019634303],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982362,0.00019705338,0.0004913013,0.00004496893,0.0008527518,0.00017772391],"domain_scores_gemma":[0.99890846,0.00025270454,0.00039873226,0.00004807789,0.00017559706,0.00021643001],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024732712,0.000041204832,0.00013852438,0.00022203056,0.00012877375,0.00003605954,0.00017578604,0.000030538213,0.00004467629],"category_scores_gemma":[0.00020925514,0.00003646519,0.000022749215,0.000115505485,0.00017535745,0.0011884596,0.000052996173,0.00017652348,3.3704436e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007067433,0.00038639156,0.9699421,0.0000852625,0.000028055565,1.3388194e-7,0.0061450005,3.6718652e-7,0.000036338603,0.001067176,0.000048260787,0.022190258],"study_design_scores_gemma":[0.00044232956,0.00047217362,0.9703458,0.00012069143,0.0000043093028,0.0000029201426,0.02367012,0.000033690532,0.00025078497,0.000065297645,0.0045492337,0.000042642878],"about_ca_topic_score_codex":0.002635895,"about_ca_topic_score_gemma":0.0006942751,"teacher_disagreement_score":0.022147616,"about_ca_system_score_codex":0.00008819895,"about_ca_system_score_gemma":0.00014721841,"threshold_uncertainty_score":0.39847025},"labels":[],"label_agreement":null},{"id":"W2061996749","doi":"10.1080/13574800802451049","title":"Avenues or Arterials: The Struggle to Change Street Building Practices in Toronto, Canada","year":2008,"lang":"en","type":"article","venue":"Journal of Urban Design","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":65,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Vision; Pedestrian; Engineering; Civil engineering; Urban design; Political science; Public administration; Public relations; Sociology; Urban planning","score_opus":0.1436500099861035,"score_gpt":0.3609099603895755,"score_spread":0.217259950403472,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061996749","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9934011,0.0019866514,0.00021525155,0.0026451843,0.00075627404,0.00031591626,0.000007536766,0.000007199902,0.000664855],"genre_scores_gemma":[0.99716014,0.00012786494,0.000930008,0.00033287326,0.0011938529,0.0000063747557,2.0356568e-7,0.0000067088313,0.00024194893],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99839294,0.0003663607,0.00038032344,0.0001090391,0.0004991235,0.00025221088],"domain_scores_gemma":[0.99863523,0.00040787036,0.0005852361,0.000119364006,0.000112813315,0.00013950426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016156809,0.00008720102,0.00020817966,0.000033282508,0.00028054012,0.0000551596,0.00044807306,0.00004509953,0.00031557147],"category_scores_gemma":[0.0006522398,0.000055696783,0.0000432009,0.00019094239,0.00006977052,0.0007946691,0.0000112584785,0.0001399367,7.445458e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00077761535,0.00024803384,0.7091867,0.000023683897,0.00007400623,0.00093377294,0.058124613,0.000038110476,0.0007625102,0.00014699259,0.22140604,0.008277966],"study_design_scores_gemma":[0.0008330298,0.0004740699,0.69553846,0.0002070584,0.00006651185,0.000020839027,0.021326736,0.00002119035,0.0011064375,0.00026693812,0.2797556,0.00038311936],"about_ca_topic_score_codex":0.6719851,"about_ca_topic_score_gemma":0.97128195,"teacher_disagreement_score":0.29929686,"about_ca_system_score_codex":0.0005331936,"about_ca_system_score_gemma":0.0013035525,"threshold_uncertainty_score":0.34552863},"labels":[],"label_agreement":null},{"id":"W2062018423","doi":"10.3141/2323-05","title":"Structural Equations Model of Land Use Patterns, Location Choice, and Travel Behavior in Southern California","year":2012,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"University of California, Santa Barbara; University of California Research Initiatives; California Department of Transportation; U.S. Department of Transportation","keywords":"Travel behavior; Land use; Metropolitan area; Residence; TRIPS architecture; Geography; Mode choice; Transport engineering; Structural equation modeling; Travel survey; Socioeconomic status; Econometrics; Economic geography; Economics; Statistics; Public transport; Mathematics; Demographic economics; Sociology; Engineering; Demography; Civil engineering; Population","score_opus":0.17029635074086716,"score_gpt":0.4152479616540913,"score_spread":0.24495161091322412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2062018423","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99619275,0.00019228252,0.0015501358,0.0006211549,0.0001556496,0.0008734309,0.0003803744,0.0000099224435,0.000024270576],"genre_scores_gemma":[0.9987678,0.00024325411,0.00048723732,0.000013357787,0.00013362325,0.00004729756,0.00004086358,0.000026128599,0.00024043977],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9943273,0.0009664728,0.0011914141,0.0002508784,0.0025015508,0.000762374],"domain_scores_gemma":[0.9959943,0.00096263486,0.00039988285,0.000264608,0.0019996793,0.0003788588],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004464173,0.00016944873,0.00035496734,0.00070521387,0.00055322424,0.000096353644,0.00055361463,0.00019690895,0.00014802934],"category_scores_gemma":[0.00031875435,0.0001327851,0.00017270572,0.0013618671,0.00079097267,0.0012676462,0.0000043904265,0.0011789988,0.000004691412],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002107007,0.00018781953,0.98132825,0.00011837673,0.000022995282,0.0000031119416,0.014636195,0.00078373105,0.00064526935,0.0006864467,0.00003091697,0.0013462066],"study_design_scores_gemma":[0.000825913,0.00007648963,0.9912986,0.00015129207,0.00005042237,3.7128427e-8,0.005893999,0.0005972551,0.00012861718,0.00072753883,0.000120461504,0.00012933824],"about_ca_topic_score_codex":0.101684645,"about_ca_topic_score_gemma":0.4497973,"teacher_disagreement_score":0.34811267,"about_ca_system_score_codex":0.00017952285,"about_ca_system_score_gemma":0.0006026548,"threshold_uncertainty_score":0.9042973},"labels":[],"label_agreement":null},{"id":"W2062433653","doi":"10.1080/715020598","title":"Impact of telecommuting and intelligent transportation systems on residential location choice","year":2003,"lang":"en","type":"article","venue":"Transportation Planning and Technology","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University","funders":"Science and Engineering Research Board; Natural Sciences and Engineering Research Council of Canada","keywords":"Telecommuting; Mixed logit; Discrete choice; Logit; Preference; Transport engineering; Transportation planning; Estimation; Choice modelling; Urban planning; Public transport; Computer science; Business; Logistic regression; Econometrics; Economics; Engineering; Marketing; Microeconomics; Civil engineering","score_opus":0.023721029024787753,"score_gpt":0.3317951124801324,"score_spread":0.30807408345534465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2062433653","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996358,0.00080476794,0.0019818281,0.000081295,0.00008014504,0.00021591762,0.000016494572,0.000104853534,0.00035669334],"genre_scores_gemma":[0.9996937,0.00005507951,0.000119866934,0.0000043389055,0.000016356129,0.000011391012,0.000051162286,0.000008037126,0.000040077597],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990327,0.000051625273,0.00034899887,0.00022576864,0.00015603207,0.0001849018],"domain_scores_gemma":[0.9994496,0.00009746521,0.00017221861,0.000102292644,0.00012391285,0.000054497283],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033170317,0.000109446744,0.00018817799,0.00023536074,0.0002371329,0.000022511054,0.00007262815,0.00018522465,0.00001623316],"category_scores_gemma":[0.00006451152,0.00010587389,0.000030832038,0.00047325846,0.00023336057,0.00014924722,4.13053e-7,0.00015589866,6.187226e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025462055,0.000043062562,0.97852075,0.000053824097,0.000025241028,0.0000029327962,0.003800495,0.00052066374,0.0002994982,0.0154054575,0.000010222256,0.0012924017],"study_design_scores_gemma":[0.00032703945,0.00015070199,0.9941938,0.000116697054,0.000045227778,4.0564547e-7,0.0027451743,0.00004238425,0.00085212005,0.0010583499,0.0003391761,0.00012894455],"about_ca_topic_score_codex":0.0028346914,"about_ca_topic_score_gemma":0.0016786752,"teacher_disagreement_score":0.01567304,"about_ca_system_score_codex":0.000027972332,"about_ca_system_score_gemma":0.0000838258,"threshold_uncertainty_score":0.4317412},"labels":[],"label_agreement":null},{"id":"W2062976887","doi":"10.3141/2140-12","title":"Steps in Reserve","year":2009,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Sherbrooke; University of Toronto; Polytechnique Montréal","funders":"","keywords":"TRIPS architecture; Metropolitan area; Microdata (statistics); Population; Geography; Travel behavior; Transport engineering; Demography; Engineering; Census; Sociology","score_opus":0.13232607141207797,"score_gpt":0.4483139899339703,"score_spread":0.31598791852189234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2062976887","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9811034,0.0003472255,0.00015435537,0.014243329,0.00046247058,0.0010520406,0.000024506877,0.000032087923,0.0025805691],"genre_scores_gemma":[0.9967352,0.0008331785,0.0006067443,0.00009817028,0.00032475713,0.00002520924,0.000008781008,0.00002544362,0.0013424852],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98865026,0.0025516108,0.0016640477,0.00046368304,0.0053475066,0.0013228848],"domain_scores_gemma":[0.99430454,0.000996086,0.00040254858,0.00052616943,0.003255132,0.000515535],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.012337925,0.0002218992,0.0004919171,0.0012803022,0.0010690405,0.00020784647,0.0019301969,0.0002898142,0.0006181198],"category_scores_gemma":[0.00043411937,0.00017396295,0.0004297135,0.004449087,0.0011285356,0.0013409059,0.0000038522494,0.003003598,0.000022280354],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011115328,0.00047573252,0.96332383,0.00006253896,0.00003133586,0.00018690265,0.012490913,0.00017463762,0.00058771274,0.009291208,0.0036992067,0.008564447],"study_design_scores_gemma":[0.0012198794,0.0003602221,0.9426501,0.0002765478,0.00001775222,4.4889056e-8,0.005524983,0.000013160673,0.0003003309,0.026794381,0.022672307,0.0001703034],"about_ca_topic_score_codex":0.061504237,"about_ca_topic_score_gemma":0.5257245,"teacher_disagreement_score":0.46422026,"about_ca_system_score_codex":0.00047801292,"about_ca_system_score_gemma":0.0014459171,"threshold_uncertainty_score":0.9992965},"labels":[],"label_agreement":null},{"id":"W2063182210","doi":"10.1080/23249935.2013.788100","title":"Temporal transferability of work trip mode choice models in an expanding suburban area: the case of York Region, Ontario","year":2013,"lang":"en","type":"article","venue":"Transportmetrica A Transport Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Transferability; Heteroscedasticity; Context (archaeology); Mode choice; Aggregate (composite); Econometrics; Discrete choice; Population; Aggregate data; Estimation; Revealed preference; Computer science; Geography; Statistics; Economics; Transport engineering; Mathematics; Engineering; Public transport; Demography; Sociology","score_opus":0.07863434303957872,"score_gpt":0.31349467975961215,"score_spread":0.23486033672003342,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2063182210","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9912645,0.0002247939,0.004365741,0.00025855564,0.00018287674,0.0017847585,0.00004042188,0.00009101798,0.001787289],"genre_scores_gemma":[0.9988048,0.0000274612,0.00080649235,0.000036853547,0.00003826595,0.00010995256,0.000020629852,0.000025456542,0.00013006917],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9942949,0.0001936414,0.0018154859,0.0011795793,0.0013775264,0.0011389111],"domain_scores_gemma":[0.9969864,0.00035690502,0.00038961667,0.0011367634,0.0005733505,0.0005569455],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0032330612,0.00043652582,0.00096998556,0.0008863071,0.0007883021,0.000070588045,0.0019921493,0.00026453685,0.00036530438],"category_scores_gemma":[0.00005331562,0.0003416851,0.00040791376,0.010567393,0.00438914,0.0029998366,0.000008434888,0.00062864023,0.0000011144695],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013145896,0.00069427403,0.9235971,0.000058601297,0.0000132410105,0.0000884389,0.071812294,0.00087327923,0.000211156,0.00071165955,0.0000043728933,0.0018041424],"study_design_scores_gemma":[0.00096656074,0.00015987993,0.98985374,0.00011114255,0.00010808068,0.0000053713793,0.004026891,0.00038445092,0.00067168346,0.003130863,0.000091892674,0.0004894692],"about_ca_topic_score_codex":0.6377764,"about_ca_topic_score_gemma":0.7304934,"teacher_disagreement_score":0.09271705,"about_ca_system_score_codex":0.00039669042,"about_ca_system_score_gemma":0.0017819963,"threshold_uncertainty_score":0.9999035},"labels":[],"label_agreement":null},{"id":"W2063245001","doi":"10.2495/ut150121","title":"The implications of automobile dependency in Abu Dhabi city","year":2015,"lang":"en","type":"article","venue":"WIT transactions on the built environment","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Transport Canada","funders":"","keywords":"Abu dhabi; Dependency (UML); Pace; Business; Population; Transport engineering; Economic growth; Geography; Computer science; Engineering; Economics; Environmental health; Metropolitan area","score_opus":0.04647087850496268,"score_gpt":0.2894113854385206,"score_spread":0.2429405069335579,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2063245001","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9555472,0.00024801109,0.01920658,0.011696184,0.00017567037,0.0008577702,0.000042198804,0.00004810359,0.012178274],"genre_scores_gemma":[0.99805045,0.00013984412,0.00008718908,0.000054899054,0.000020914737,0.00015364934,0.0000013925676,0.000006472961,0.0014852067],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99883664,0.00015382611,0.00025783182,0.00018600948,0.00034870382,0.00021699253],"domain_scores_gemma":[0.99913967,0.0002026024,0.000072645424,0.00048291628,0.000014950179,0.000087212626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009555439,0.000088599336,0.00009995509,0.000029873332,0.0005348816,0.000023351358,0.00046169086,0.000061608545,0.00050672045],"category_scores_gemma":[0.000016080343,0.000055775876,0.000082439954,0.00018517836,0.00049710704,0.00010600246,0.0000038859666,0.0001915478,0.000040796003],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036567022,0.006032237,0.6735211,0.000031922355,0.00025148434,0.000005445497,0.083332784,0.017536478,0.0020422055,0.030174788,0.0012093924,0.18549651],"study_design_scores_gemma":[0.00072673487,0.00014222806,0.8759452,0.000024779756,0.0000781583,5.7968344e-7,0.008693038,0.00012512167,0.0027653116,0.04516235,0.066014044,0.00032245973],"about_ca_topic_score_codex":0.002449394,"about_ca_topic_score_gemma":0.009105339,"teacher_disagreement_score":0.20242411,"about_ca_system_score_codex":0.00024918714,"about_ca_system_score_gemma":0.00014146908,"threshold_uncertainty_score":0.55482334},"labels":[],"label_agreement":null},{"id":"W2063395283","doi":"10.1007/s11116-013-9508-z","title":"New evidence on walking distances to transit stops: identifying redundancies and gaps using variable service areas","year":2013,"lang":"en","type":"article","venue":"Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":370,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"WSP (Canada); McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Metropolitan area; Transport engineering; Public transport; Service (business); Transit (satellite); Level of service; Geography; Business; Engineering; Marketing","score_opus":0.06021892194736933,"score_gpt":0.3293055860895974,"score_spread":0.2690866641422281,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2063395283","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96957266,0.00047103412,0.027529998,0.0010293588,0.00019951347,0.00046786224,0.000009400536,0.000098471704,0.00062167743],"genre_scores_gemma":[0.9929549,0.000052579755,0.006187856,0.00026496354,0.00012524791,0.00001593452,0.0000147721685,0.000013063993,0.00037069706],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99855226,0.000053144988,0.00030106385,0.00036594708,0.00042071953,0.00030685106],"domain_scores_gemma":[0.99930793,0.00010374043,0.000086679225,0.0001419481,0.00015096478,0.00020875855],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037155053,0.00014303462,0.00017867626,0.00006934166,0.00050545414,0.0002263308,0.00018189983,0.00007767818,0.0004660322],"category_scores_gemma":[0.000029438466,0.0001442275,0.000036132016,0.0005823486,0.000056678782,0.0015729832,0.0000015811603,0.00010634255,0.000016030759],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029210653,0.00013093308,0.61310834,0.00082077814,0.00006757383,0.000014745854,0.289318,0.0019295521,0.053476106,0.011970688,0.00030655976,0.028564645],"study_design_scores_gemma":[0.00027523978,0.00003712934,0.98103225,0.0008803923,0.0000926921,1.2463644e-7,0.007015838,0.00007487881,0.0016887191,0.0074888435,0.0010695031,0.00034437398],"about_ca_topic_score_codex":0.04531758,"about_ca_topic_score_gemma":0.050523527,"teacher_disagreement_score":0.36792395,"about_ca_system_score_codex":0.00007598505,"about_ca_system_score_gemma":0.00015796458,"threshold_uncertainty_score":0.96680194},"labels":[],"label_agreement":null},{"id":"W2063432912","doi":"10.1061/(asce)0733-9488(2004)130:4(167)","title":"Modeling Trip Generation with Data from Single and Two Independent Cross-Sectional Travel Surveys","year":2004,"lang":"en","type":"article","venue":"Journal of Urban Planning and Development","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Toronto","keywords":"Cross-sectional data; Trip generation; Cross-sectional study; Computer science; Transport engineering; Geography; Statistics; Engineering; Mathematics","score_opus":0.1506379686276737,"score_gpt":0.34519630539088575,"score_spread":0.19455833676321205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2063432912","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9080425,0.00078224106,0.090769656,0.00004407681,0.0001607767,0.000046592795,0.000010874053,0.0000070604074,0.00013620901],"genre_scores_gemma":[0.9911843,0.000011701215,0.0083327005,0.000026294108,0.0003393936,5.4686495e-7,0.00005079323,0.000005249541,0.000049011014],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987837,0.00006412939,0.00037223304,0.00020060604,0.00043601156,0.00014332564],"domain_scores_gemma":[0.9994868,0.000035010242,0.00015489313,0.000074384974,0.000121717276,0.00012721152],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017311526,0.00008956649,0.0001507313,0.00006368971,0.00041996184,0.00024411855,0.00014702836,0.000055650045,0.000013029531],"category_scores_gemma":[0.0000322386,0.00007054294,0.000012232048,0.000063424675,0.000071577044,0.00051964785,0.000023143584,0.00015903598,4.4016272e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051329356,0.00005930137,0.98952425,0.0000035818853,0.000040559255,0.000025032528,0.005869503,0.00327363,0.00021236841,0.000009106748,0.000020500407,0.0009108645],"study_design_scores_gemma":[0.0014081437,0.000047897105,0.9958311,0.000061000053,0.000013503847,0.000012137196,0.0007059221,0.0012039044,0.00022514604,0.00017149062,0.00018139552,0.0001383777],"about_ca_topic_score_codex":0.00089117826,"about_ca_topic_score_gemma":0.0013574424,"teacher_disagreement_score":0.0831418,"about_ca_system_score_codex":0.00009679689,"about_ca_system_score_gemma":0.0004940974,"threshold_uncertainty_score":0.32300493},"labels":[],"label_agreement":null},{"id":"W2063734169","doi":"10.7717/peerj.440","title":"Neighbourhood walkability, leisure-time and transport-related physical activity in a mixed urban–rural area","year":2014,"lang":"en","type":"article","venue":"PeerJ","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"York University","funders":"","keywords":"Walkability; Quartile; Neighbourhood (mathematics); Built environment; Environmental health; Geography; Index (typography); Logistic regression; Transport engineering; Medicine; Computer science; Civil engineering; Engineering","score_opus":0.012923356663884104,"score_gpt":0.26551501522941934,"score_spread":0.2525916585655352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2063734169","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9875609,0.000035327997,0.00002357315,0.0013399144,0.000119516626,0.0002834762,0.000017979393,0.00012983632,0.010489426],"genre_scores_gemma":[0.9988226,0.0000034482036,0.000021857906,0.0000140601,0.00013410131,0.000011547334,0.000010827706,0.000012349982,0.00096919463],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99840856,0.00017151533,0.00020883919,0.0003959722,0.00037694979,0.00043815083],"domain_scores_gemma":[0.9992753,0.00020459935,0.00007478733,0.00020151288,0.00005527834,0.00018851958],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008788355,0.00018010207,0.00043559383,0.000055535318,0.00021401476,0.00004942184,0.00023000337,0.00015953867,0.00028335032],"category_scores_gemma":[0.0000874262,0.00016454875,0.00013224786,0.00034605947,0.00043710571,0.00044644286,0.000017772574,0.00029330095,0.000024947296],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050823146,0.00046855595,0.98019284,0.000019733916,0.000012656406,0.0000028532208,0.0052746553,0.000004624701,0.0023267467,0.0009829025,0.000049252012,0.010614373],"study_design_scores_gemma":[0.000627957,0.000039594284,0.99241734,0.00001738989,0.00002928252,1.7645186e-7,0.00014900576,0.00080852845,0.00037438137,0.0047837202,0.0005377844,0.00021484144],"about_ca_topic_score_codex":0.005546344,"about_ca_topic_score_gemma":0.008072115,"teacher_disagreement_score":0.012224514,"about_ca_system_score_codex":0.000067552995,"about_ca_system_score_gemma":0.00007260976,"threshold_uncertainty_score":0.838445},"labels":[],"label_agreement":null},{"id":"W2063924767","doi":"10.1080/00420980500409334","title":"Measuring the Accessibility of Services and Facilities for Residents of Public Housing in Montreal","year":2006,"lang":"en","type":"article","venue":"Urban Studies","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":148,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Business; Public transport; Public housing; Service (business); Public service; Central city; Economic growth; Geography; Transport engineering; Regional science; Public administration; Marketing; Political science; Economics; Engineering","score_opus":0.0885653532889582,"score_gpt":0.31937655193274905,"score_spread":0.23081119864379085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2063924767","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98656154,0.010965593,0.000010179619,0.00022400322,0.00005962297,0.00027878673,0.00002836197,0.000014526179,0.0018574062],"genre_scores_gemma":[0.99942535,0.00011560523,0.000043744458,0.000006014138,0.000058604983,0.000017445876,0.0000014276671,0.0000032457017,0.00032855954],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99889976,0.000100850186,0.0003623721,0.00018604504,0.00024524168,0.00020576079],"domain_scores_gemma":[0.9991697,0.00031265113,0.00015801021,0.00013658548,0.0002050657,0.000017986516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012161736,0.000083363804,0.0002656318,0.000054784246,0.0002814467,0.00003407626,0.0002023316,0.000038318052,0.0000036756512],"category_scores_gemma":[0.00013425919,0.000058175876,0.000052413452,0.00019167076,0.0006714671,0.00032349495,0.00005110187,0.00004454397,8.156744e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018425108,0.000040123632,0.9810934,0.0003331694,0.00002247014,1.8231732e-7,0.016907291,0.0000017992467,0.000034958175,0.00040115474,0.00005298182,0.0010940303],"study_design_scores_gemma":[0.00022103383,0.000010105731,0.9632444,0.000054613716,0.00001636006,9.0007015e-9,0.02348492,0.00000595484,0.00026301632,0.012545927,0.000098897064,0.000054768414],"about_ca_topic_score_codex":0.06146857,"about_ca_topic_score_gemma":0.4209509,"teacher_disagreement_score":0.35948232,"about_ca_system_score_codex":0.000038864015,"about_ca_system_score_gemma":0.000038777805,"threshold_uncertainty_score":0.9447812},"labels":[],"label_agreement":null},{"id":"W2064378855","doi":"10.1016/j.healthplace.2012.10.001","title":"Built environment configuration and change in body mass index: The Caerphilly Prospective Study (CaPS)","year":2012,"lang":"en","type":"article","venue":"Health & Place","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":72,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Economic and Social Research Council; Medical Research Council; Alzheimer Society","keywords":"Built environment; Level design; Recreation; Space syntax; Psychological intervention; Geography; Body mass index; Environmental health; Gerontology; Demography; Medicine; Space (punctuation); Engineering; Civil engineering; Computer science; Sociology; Ecology","score_opus":0.04168594442174342,"score_gpt":0.34329068654680994,"score_spread":0.3016047421250665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2064378855","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9918167,0.00095914665,0.000039116578,0.004160331,0.00015135437,0.0019505996,0.0000056839144,0.000020884256,0.00089620997],"genre_scores_gemma":[0.9988699,0.00013000764,0.000010969947,0.00041686033,0.00024038828,0.00015774657,0.0000030868764,0.0000052779988,0.00016576296],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987042,0.00029146802,0.00019127154,0.00018594682,0.00027769455,0.00034945193],"domain_scores_gemma":[0.9995563,0.00007381667,0.000094458184,0.00013310729,0.000010412552,0.00013190541],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017838747,0.00008209217,0.00012941571,0.000026769469,0.00041598588,0.00002870819,0.0000986873,0.00004917434,0.00010588752],"category_scores_gemma":[0.000021640064,0.00006114382,0.000012604146,0.000118561176,0.00012209504,0.00032583956,0.000012666106,0.00016133313,0.000011905494],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021867121,0.00016281934,0.9244631,0.000008773589,0.0000028780748,6.44405e-7,0.07406845,4.3981785e-7,0.0000036375493,0.00022755758,0.000035074627,0.001004773],"study_design_scores_gemma":[0.00030101568,0.00006869905,0.9874854,0.0000069890075,0.0000039557367,8.735971e-8,0.00871328,0.00001465256,0.0000067473006,0.00012842346,0.003204697,0.00006607324],"about_ca_topic_score_codex":0.031036308,"about_ca_topic_score_gemma":0.05342739,"teacher_disagreement_score":0.065355174,"about_ca_system_score_codex":0.00024222305,"about_ca_system_score_gemma":0.00009948972,"threshold_uncertainty_score":0.9754161},"labels":[],"label_agreement":null},{"id":"W2064628400","doi":"10.1061/41177(415)145","title":"Spatial Analysis of Individual Activity Locations and Concentration Levels in Calgary","year":2011,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Work (physics); Computer science; Transport engineering; Set (abstract data type); Land use; Space (punctuation); Travel time; Travel behavior; Geography; Civil engineering; Engineering","score_opus":0.07388879876009591,"score_gpt":0.31639517802318085,"score_spread":0.24250637926308494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2064628400","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9813927,0.00001128935,0.0042842273,0.000042937463,0.00001991348,0.00008268457,0.000010718524,0.000009185809,0.014146346],"genre_scores_gemma":[0.9997262,0.000003595532,0.00018346282,0.000016531676,0.000008096671,0.000002331845,0.0000062711515,8.661896e-7,0.0000526514],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99951476,0.000057713896,0.000113145,0.000101905556,0.000132366,0.000080084435],"domain_scores_gemma":[0.9998,0.000032733216,0.000044005796,0.000059408376,0.000029975541,0.00003387644],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032386155,0.00003132539,0.00009954978,0.00006082446,0.00006004846,0.000009785198,0.000068215246,0.00004254914,0.00061727595],"category_scores_gemma":[0.000019947294,0.000028979555,0.000025411731,0.00041370824,0.00017588478,0.00021299998,0.000006856532,0.000035585144,4.0049437e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000047313915,0.00006816208,0.9792017,0.0000017062064,0.000035594036,2.0715257e-7,0.010683989,5.886673e-7,0.00006144784,0.0020864327,0.0000018031931,0.007853654],"study_design_scores_gemma":[0.00007589005,0.000006096894,0.99799055,0.0000011619856,0.00010036433,2.588459e-9,0.00045930914,0.0001597174,0.00086148456,0.0003008323,0.000010058595,0.000034520403],"about_ca_topic_score_codex":0.07644175,"about_ca_topic_score_gemma":0.22612028,"teacher_disagreement_score":0.14967853,"about_ca_system_score_codex":0.000013739413,"about_ca_system_score_gemma":0.00009588959,"threshold_uncertainty_score":0.9297083},"labels":[],"label_agreement":null},{"id":"W2065663481","doi":"10.1542/peds.2010-1612","title":"Longitudinal Changes in Active Transportation to School in Canadian Youth Aged 6 Through 16 Years","year":2011,"lang":"en","type":"article","venue":"PEDIATRICS","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":124,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine; Centre Hospitalier de l’Université de Montréal","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Confidence interval; Demography; Odds ratio; Odds; Active living; Sibling; Longitudinal study; Household income; Injury prevention; Poison control; Public health; Physical activity; Gerontology; Environmental health; Logistic regression; Physical therapy; Psychology; Developmental psychology; Geography","score_opus":0.05908693954154335,"score_gpt":0.295190086312055,"score_spread":0.23610314677051167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2065663481","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99101454,0.00006239562,0.000024775258,0.00020106729,0.00018778205,0.0002843928,0.00008592334,0.000021102063,0.008118038],"genre_scores_gemma":[0.99931425,0.00007876696,0.00014790268,0.00011644741,0.0002076065,0.000015847305,0.000029779058,0.0000073286624,0.00008208794],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989587,0.000045658573,0.00015674261,0.00022957087,0.00020002568,0.00040930294],"domain_scores_gemma":[0.9995623,0.000020626489,0.00004020765,0.000092676775,0.00003412779,0.00025005866],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036258402,0.00007850101,0.00011837206,0.00022640498,0.000079967715,0.000018368622,0.00018254398,0.000104800754,0.00038054577],"category_scores_gemma":[0.00007939301,0.0000891667,0.00002732153,0.0009783396,0.00004104818,0.0002915254,0.0000025840666,0.00016735353,0.00002399026],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019249734,0.000029544293,0.89503825,0.0000049269047,9.842538e-7,0.000020404888,0.10429141,0.0000016760001,6.0629134e-7,0.00009410589,0.000043390544,0.0004554241],"study_design_scores_gemma":[0.0001638763,0.000016360751,0.9901735,0.000004782772,0.000011666696,9.05419e-9,0.008565417,1.8733402e-7,0.000015913733,0.00055341027,0.00038226022,0.00011261708],"about_ca_topic_score_codex":0.93095547,"about_ca_topic_score_gemma":0.99863094,"teacher_disagreement_score":0.095726,"about_ca_system_score_codex":0.00039108173,"about_ca_system_score_gemma":0.0004765975,"threshold_uncertainty_score":0.41667092},"labels":[],"label_agreement":null},{"id":"W2065817363","doi":"10.1007/s11205-007-9185-4","title":"The Quality of the Urban Environment Around Public Housing Buildings in Montréal: An Objective Approach Based on GIS and Multivariate Statistical Analysis","year":2007,"lang":"en","type":"article","venue":"Social Indicators Research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":65,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Built environment; Public housing; Census; Public space; Human geography; Urban planning; Environmental planning; Geographic information system; Environmental resource management; Geography; Business; Civil engineering; Architectural engineering; Cartography; Sociology; Population; Engineering; Environmental science","score_opus":0.09624034357687568,"score_gpt":0.42483652004891315,"score_spread":0.3285961764720375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2065817363","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99414706,0.00006194063,0.0024834701,0.000863707,0.000023549303,0.00048480232,0.000034820107,0.000012854525,0.0018877814],"genre_scores_gemma":[0.99950033,0.000010890983,0.0003104233,0.000027397275,0.00008608697,0.00001948041,0.000008371876,0.000009411084,0.000027575876],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99467164,0.002163542,0.00042559986,0.00041447947,0.0016806204,0.0006441021],"domain_scores_gemma":[0.9978689,0.0014154236,0.00017098377,0.00027905198,0.000091715745,0.00017390677],"candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.01800345,0.0001072224,0.00025028418,0.000351787,0.0023079547,0.00016656079,0.000519644,0.00017091431,0.000021027869],"category_scores_gemma":[0.00092535163,0.00007122736,0.000103532824,0.0023766868,0.0029639378,0.00015457645,0.000080175654,0.0006384922,6.197857e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010692167,0.00037884727,0.9656189,0.000008137084,0.000059422917,9.4441884e-7,0.014237234,0.000009809751,0.000038780458,0.013437458,0.000014301141,0.006089218],"study_design_scores_gemma":[0.00024043853,0.000027775415,0.98090625,0.0000024764483,0.000023392298,3.78301e-9,0.016328711,0.00025884275,0.000047290483,0.0017292751,0.00035151752,0.000084015075],"about_ca_topic_score_codex":0.047926426,"about_ca_topic_score_gemma":0.02667472,"teacher_disagreement_score":0.021251708,"about_ca_system_score_codex":0.0005061577,"about_ca_system_score_gemma":0.00030131143,"threshold_uncertainty_score":0.9997494},"labels":[],"label_agreement":null},{"id":"W2066631373","doi":"10.1186/1472-6963-11-166","title":"Optimizing the two-step floating catchment area method for measuring spatial accessibility to medical clinics in Montreal","year":2011,"lang":"en","type":"article","venue":"BMC Health Services Research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":157,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Montréal; Institut National de la Recherche Scientifique; Douglas Mental Health University Institute","funders":"","keywords":"Catchment area; Medicine; Weighting; Health care; Health informatics; Population; Test (biology); Family medicine; Public health; Environmental health; Nursing; Cartography; Geography; Drainage basin","score_opus":0.2225540117295226,"score_gpt":0.5082645049907258,"score_spread":0.28571049326120324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2066631373","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9363332,0.00045257786,0.051811364,0.0019500358,0.0004198911,0.0041093626,0.000023382128,0.00008994291,0.0048102913],"genre_scores_gemma":[0.9513493,0.000052635616,0.046886243,0.00087148056,0.00046556638,0.00028691452,0.000009146684,0.0000195989,0.00005911496],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99176663,0.0027375147,0.0010588756,0.0008029814,0.0021390151,0.0014949829],"domain_scores_gemma":[0.9954095,0.0022788811,0.00019120454,0.00061003503,0.0004906972,0.0010196945],"candidate_categories":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.044643093,0.0001774875,0.000430435,0.00018663963,0.0015921466,0.0001466711,0.0017238732,0.00018938846,0.00030520395],"category_scores_gemma":[0.0007616992,0.00013392663,0.00011975523,0.0009817212,0.00019063566,0.00032020232,0.00029394592,0.000753385,0.000012469728],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040931324,0.00028559932,0.81639254,0.00065800006,0.0000100378065,0.000003600245,0.09743027,0.000055765406,0.000003257141,0.00014892401,0.000014261407,0.08458842],"study_design_scores_gemma":[0.001319539,0.00018843148,0.92063767,0.0004560993,0.000008274257,2.0412222e-7,0.036495764,0.03746688,0.00009944676,0.0021025836,0.0009709052,0.00025419722],"about_ca_topic_score_codex":0.45004472,"about_ca_topic_score_gemma":0.83951676,"teacher_disagreement_score":0.38947204,"about_ca_system_score_codex":0.0005294901,"about_ca_system_score_gemma":0.0027748032,"threshold_uncertainty_score":0.99970764},"labels":[],"label_agreement":null},{"id":"W2067484692","doi":"10.5038/2375-0901.12.1.3","title":"Pedestrian Environments and Transit Ridership","year":2009,"lang":"en","type":"article","venue":"Journal of Public Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":118,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Walkability; Transport engineering; Metropolitan area; Transit (satellite); Pedestrian; Built environment; Geographic information system; Transit-oriented development; Measure (data warehouse); Level of service; Public transport; Service (business); Computer science; Geography; Business; Engineering; Civil engineering; Cartography","score_opus":0.04142227431158602,"score_gpt":0.2923362432506001,"score_spread":0.2509139689390141,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067484692","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9868739,0.000353613,0.004537314,0.006861141,0.00011342107,0.00008177336,0.0000043452533,0.000011137565,0.0011633026],"genre_scores_gemma":[0.9990891,0.00023377132,0.00025257413,0.00009857166,0.00016087621,3.6620295e-7,0.0000071339514,0.0000035348253,0.00015407123],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988846,0.000071529204,0.00037665636,0.00009656671,0.00039467332,0.00017594811],"domain_scores_gemma":[0.9994547,0.000029557672,0.00021578021,0.00005282585,0.000049053117,0.00019810231],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008849573,0.0000717331,0.00014402393,0.00009681242,0.00016090443,0.00006918906,0.00012626554,0.00007547608,0.00016697208],"category_scores_gemma":[0.000026259191,0.00006537486,0.00008438572,0.00015427652,0.00010457128,0.0010535466,1.8865906e-7,0.00014098777,9.820081e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010096177,0.00036117254,0.8702445,0.000022082846,0.00004633137,0.000038056245,0.023764906,0.000012564946,0.001312181,0.0058721933,0.00026618355,0.097958885],"study_design_scores_gemma":[0.00053545285,0.000108756234,0.97938687,0.0000108536315,0.000041685813,5.122058e-7,0.0013884641,0.0000016263086,0.00008441215,0.0036718624,0.014696325,0.00007315844],"about_ca_topic_score_codex":0.00008709883,"about_ca_topic_score_gemma":0.0012898858,"teacher_disagreement_score":0.10914241,"about_ca_system_score_codex":0.000035182507,"about_ca_system_score_gemma":0.00011678513,"threshold_uncertainty_score":0.26659092},"labels":[],"label_agreement":null},{"id":"W2068120697","doi":"10.1186/1471-2458-14-497","title":"A cross-sectional examination of socio-demographic and school-level correlates of children’s school travel mode in Ottawa, Canada","year":2014,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Ottawa; Children's Hospital of Eastern Ontario","funders":"Coca-Cola Foundation","keywords":"Medicine; Biostatistics; Cross-sectional study; Demography; Neighbourhood (mathematics); Odds ratio; Public health; Audit; Injury prevention; Poison control; Environmental health; Nursing","score_opus":0.034009814705517054,"score_gpt":0.30846047134885407,"score_spread":0.274450656643337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068120697","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969615,0.00015030461,0.0007221769,0.0004888989,0.00011618653,0.000278327,0.00008724043,0.000014053561,0.0011813138],"genre_scores_gemma":[0.99934703,0.000026518239,0.0002365415,0.00009641256,0.000072502466,0.0000106525,0.000038277198,0.000006733073,0.0001653063],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99790716,0.00036405303,0.00060605654,0.00026718678,0.00050317973,0.00035236994],"domain_scores_gemma":[0.9988731,0.0001718824,0.00029766152,0.00013804516,0.00017706181,0.00034226343],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003431287,0.000096080454,0.00025354838,0.00018335297,0.00025415065,0.00004423546,0.00020013392,0.00012564873,0.00015114792],"category_scores_gemma":[0.00068882114,0.00009660089,0.000045223966,0.00048062042,0.00031018668,0.0003836887,0.000012896029,0.00020782281,5.770072e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000041561148,0.00007042646,0.99582523,0.000063637926,0.0000054796674,4.2843865e-8,0.0006028987,0.000008434951,0.0000037419727,0.002422555,0.0000650104,0.00092838024],"study_design_scores_gemma":[0.0004728851,0.000027689788,0.99813026,0.000016031554,0.0000017032801,2.0780986e-7,0.0003734222,0.00023853852,0.000003561965,0.00059543754,0.000057634203,0.00008263158],"about_ca_topic_score_codex":0.810003,"about_ca_topic_score_gemma":0.9470614,"teacher_disagreement_score":0.13705842,"about_ca_system_score_codex":0.00031090996,"about_ca_system_score_gemma":0.005324532,"threshold_uncertainty_score":0.944549},"labels":[],"label_agreement":null},{"id":"W2068694466","doi":"10.1007/s12061-015-9151-5","title":"A Spatial Econometric Analysis of Adult Obesity: Evidence from Canada","year":2015,"lang":"en","type":"article","venue":"Applied Spatial Analysis and Policy","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University; Dalhousie University","funders":"Social Sciences and Humanities Research Council of Canada; Canadian Institutes of Health Research; University of Alberta","keywords":"Obesity; Body mass index; Random effects model; Covariate; Econometrics; Geography; Fixed effects model; Regression analysis; Demography; Panel data; Statistics; Medicine; Economics; Mathematics; Sociology","score_opus":0.023994339777790565,"score_gpt":0.2840842046130112,"score_spread":0.2600898648352206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068694466","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9924951,0.00015555069,0.0029188471,0.0006179945,0.000040340557,0.00011521574,0.0001761141,0.000015336924,0.0034654832],"genre_scores_gemma":[0.9990594,0.00007991485,0.000097310316,0.00022152846,0.00032971762,0.000008830767,0.00010130689,0.000004997038,0.00009699257],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982027,0.00008694283,0.00046644686,0.00041333344,0.000540355,0.00029025506],"domain_scores_gemma":[0.998582,0.00023147519,0.00028629278,0.00032103062,0.00020489594,0.00037431938],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003970502,0.00015383374,0.00073105784,0.00095264753,0.00018946856,0.000067429115,0.00030938865,0.00009567567,0.0003582139],"category_scores_gemma":[0.00021093704,0.00014134511,0.00024000603,0.0068563237,0.00019356266,0.00012278809,0.000044968805,0.00008988348,0.0000026249484],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030090116,0.00004098044,0.9857618,0.0000040119444,0.002067444,0.0000012144686,0.0025157682,0.00022909362,0.000016475384,0.0006899927,0.000056743545,0.008586347],"study_design_scores_gemma":[0.0001700311,0.000012170784,0.9902873,0.0000032846028,0.005752192,5.118433e-9,0.0005993272,0.0018363546,0.00017913294,0.0006264592,0.00035313927,0.00018058353],"about_ca_topic_score_codex":0.9992707,"about_ca_topic_score_gemma":0.9992178,"teacher_disagreement_score":0.008405764,"about_ca_system_score_codex":0.0001936423,"about_ca_system_score_gemma":0.0011731192,"threshold_uncertainty_score":0.57638866},"labels":[],"label_agreement":null},{"id":"W2069704426","doi":"10.1097/00001648-200611001-01438","title":"The Impact of Climate on Utilitarian Bicycling: Results of a Canadian Study","year":2006,"lang":"en","type":"article","venue":"Epidemiology","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Environmental health; Geography; Psychology; Environmental science; Medicine","score_opus":0.08398430332401467,"score_gpt":0.40507401427376655,"score_spread":0.32108971094975186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2069704426","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9460859,0.000115969335,0.0000013463182,0.0019197551,0.00012715577,0.00025507162,0.0000790225,0.0000111900235,0.051404633],"genre_scores_gemma":[0.9996266,0.00004549559,0.00002706945,0.000032769156,0.00011165688,0.0000045312986,0.000009739085,0.0000037469986,0.000138422],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975816,0.0009552022,0.0007010394,0.00020763483,0.000085697524,0.0004688386],"domain_scores_gemma":[0.99673253,0.0025129523,0.00027222038,0.00030992096,0.00006769204,0.00010467436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006693601,0.00008169191,0.00033744329,0.00013385517,0.00033943105,0.000003229172,0.0002977893,0.0000989028,0.00003495476],"category_scores_gemma":[0.002489544,0.000049654416,0.00014972572,0.00038794542,0.0004908239,0.000036514917,0.000009639955,0.00012174987,0.0000046904584],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011854099,0.000103905215,0.9912922,0.0000016008999,0.000016920187,0.0000015595422,0.0011662525,0.00007485229,0.0000033120953,0.0052922014,0.0012493079,0.00067934516],"study_design_scores_gemma":[0.00024866255,0.00022973515,0.98801583,0.0000048732427,0.00000836054,3.1140768e-8,0.00078324944,0.000021324116,0.0000037533027,0.008183255,0.0024563915,0.000044541543],"about_ca_topic_score_codex":0.96843696,"about_ca_topic_score_gemma":0.9647208,"teacher_disagreement_score":0.05354071,"about_ca_system_score_codex":0.00007951516,"about_ca_system_score_gemma":0.0002623352,"threshold_uncertainty_score":0.29803967},"labels":[],"label_agreement":null},{"id":"W2069780268","doi":"10.1007/s11524-014-9917-0","title":"A Child’s View: Social and Physical Environmental Features Differentially Predict Parent and Child Perceived Neighborhood Safety","year":2014,"lang":"en","type":"article","venue":"Journal of Urban Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Canadian Institutes of Health Research; Heart and Stroke Foundation of Canada","keywords":"Structural equation modeling; Occupational safety and health; Psychology; Perception; Injury prevention; Childhood obesity; Poison control; Human factors and ergonomics; Mental health; Developmental psychology; Obesity; Environmental health; Medicine; Overweight; Psychiatry","score_opus":0.01083031993502013,"score_gpt":0.27418284552793465,"score_spread":0.2633525255929145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2069780268","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9874909,0.0019826028,0.00007787661,0.0090371445,0.00022279547,0.00020361655,0.000032270804,0.000014724885,0.00093809393],"genre_scores_gemma":[0.99632883,0.0010283095,0.000030616764,0.0005729916,0.0019745124,0.0000011142654,0.000006769734,0.000010990448,0.000045874436],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99820966,0.00032930815,0.0004233143,0.00021031324,0.00049796794,0.0003294151],"domain_scores_gemma":[0.9989966,0.00006440381,0.00038568274,0.00008109108,0.000021143278,0.00045108618],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006467545,0.00015661615,0.00045198994,0.000050272058,0.0010140617,0.00007530972,0.000167348,0.00008036368,0.00005211531],"category_scores_gemma":[0.000038461876,0.00012185153,0.00013176475,0.000058769874,0.00029093455,0.00024026807,0.000028322629,0.00044251012,6.9604516e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000278353,0.0007170281,0.9057339,0.000114853305,0.00008971738,0.0000045296883,0.05574332,7.267355e-7,0.000039823477,0.0014216951,0.001764046,0.03409202],"study_design_scores_gemma":[0.0008836509,0.00030378002,0.9908129,0.00007993503,0.000043551838,0.0000066259736,0.0010100078,0.000017814102,0.0000022834763,0.00046334512,0.0062622037,0.00011391258],"about_ca_topic_score_codex":0.00018247236,"about_ca_topic_score_gemma":0.00046411908,"teacher_disagreement_score":0.085079,"about_ca_system_score_codex":0.000120986755,"about_ca_system_score_gemma":0.00013621755,"threshold_uncertainty_score":0.77994454},"labels":[],"label_agreement":null},{"id":"W2069806625","doi":"10.1016/j.jth.2014.09.013","title":"They go straight home – don’t they? Using global positioning systems to assess adolescent school-travel patterns","year":2014,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Simon Fraser University; British Columbia Centre of Excellence for Women's Health","funders":"U.S. Public Health Service","keywords":"TRIPS architecture; Global Positioning System; Context (archaeology); Physical activity; Proxy (statistics); Geography; Demography; Medicine; Transport engineering; Physical therapy; Computer science; Mathematics; Statistics; Engineering","score_opus":0.04909578131789851,"score_gpt":0.3519853696703124,"score_spread":0.3028895883524139,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2069806625","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9449082,0.00033462726,0.049404465,0.0021541151,0.0014931342,0.0004196638,0.00011347422,0.000035993646,0.0011363269],"genre_scores_gemma":[0.99693924,0.000108507644,0.0009433193,0.00067672704,0.0012595507,0.000001978582,0.000009900974,0.000020426685,0.000040364757],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9962311,0.0003712798,0.0012387891,0.00030735953,0.0011276539,0.0007238199],"domain_scores_gemma":[0.9975671,0.00004186928,0.00074582966,0.00023876454,0.00033071687,0.0010756749],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033543708,0.00023803307,0.0006787213,0.00012130495,0.00065883796,0.00015608143,0.00057642045,0.00014658288,0.00010940137],"category_scores_gemma":[0.000020383202,0.00020142026,0.00027903967,0.00024633127,0.00006124309,0.00061173463,0.0000071164086,0.0004816902,0.0000058744326],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008791977,0.00022304629,0.99363923,0.0002554389,0.000040400144,0.000028589875,0.002616098,0.0009382823,0.00009831191,0.0011125857,0.00007707492,0.00088303734],"study_design_scores_gemma":[0.0005495392,0.00019709815,0.9945375,0.0009885781,0.00006567915,0.000014899776,0.0018887898,0.000042902408,0.000009813254,0.00037539078,0.0010957498,0.00023409497],"about_ca_topic_score_codex":0.0133777065,"about_ca_topic_score_gemma":0.020659888,"teacher_disagreement_score":0.05203102,"about_ca_system_score_codex":0.0008730258,"about_ca_system_score_gemma":0.0014447233,"threshold_uncertainty_score":0.9972105},"labels":[],"label_agreement":null},{"id":"W2069933785","doi":"10.1007/s11524-010-9509-6","title":"Built Environment Influences on Healthy Transportation Choices: Bicycling versus Driving","year":2010,"lang":"en","type":"article","venue":"Journal of Urban Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":379,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; University of British Columbia","funders":"Canadian Institutes of Health Research; Michael Smith Health Research BC; Heart and Stroke Foundation of Canada","keywords":"Transport engineering; Built environment; Signage; TRIPS architecture; Land use; Poison control; Geography; Destinations; Sustainable transport; Travel behavior; Traffic calming; Walkability; Cycling; Human factors and ergonomics; Population; Multinomial logistic regression; Environmental health; Engineering; Business; Sustainability; Computer science; Civil engineering; Advertising; Medicine; Ecology","score_opus":0.0410760814061258,"score_gpt":0.35702994060859433,"score_spread":0.31595385920246855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2069933785","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.991318,0.00042643223,0.00009993962,0.0054949666,0.0019475514,0.00017372295,0.000005697843,0.000022131555,0.00051158154],"genre_scores_gemma":[0.996742,0.00046592782,0.0008250894,0.0006847641,0.0012046208,0.000002105157,0.0000030952626,0.000010838443,0.00006154764],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975701,0.00015123702,0.00088803505,0.00019377508,0.0007935436,0.000403292],"domain_scores_gemma":[0.9980524,0.00030959919,0.00095557823,0.00016101378,0.00006993202,0.00045145192],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022557771,0.00012755835,0.00031166343,0.00014245929,0.0005918452,0.00005820776,0.00033357673,0.000109368164,0.00020580101],"category_scores_gemma":[0.00012881601,0.0001097798,0.00014358283,0.00018940227,0.00017972467,0.0005107826,0.000002801032,0.0006909746,0.000010187206],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002870748,0.00023199055,0.98021,0.00004493343,0.00002207788,0.000008250952,0.009938223,0.00008199247,0.00017403498,0.00071363494,0.0004687891,0.007819006],"study_design_scores_gemma":[0.00096294127,0.0007285184,0.93069196,0.00008694536,0.000020028843,3.771203e-7,0.001002391,0.0000071566674,0.000052308013,0.00046242776,0.06584475,0.000140187],"about_ca_topic_score_codex":0.002851253,"about_ca_topic_score_gemma":0.02119877,"teacher_disagreement_score":0.06537596,"about_ca_system_score_codex":0.00020011641,"about_ca_system_score_gemma":0.0007861017,"threshold_uncertainty_score":0.9966618},"labels":[],"label_agreement":null},{"id":"W2070638955","doi":"10.2105/ajph.2007.129064","title":"Association of Park Size, Distance, and Features With Physical Activity in Neighborhood Parks","year":2008,"lang":"en","type":"article","venue":"American Journal of Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":746,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Cancer Institute","keywords":"Logistic regression; Public park; Geography; Physical activity; Association (psychology); Level design; Observational study; National park; Environmental health; Demography; Psychology; Medicine; Archaeology; Environmental planning","score_opus":0.01811392564209571,"score_gpt":0.3109481728477593,"score_spread":0.2928342472056636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2070638955","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9881753,0.00008444033,0.00040402586,0.010315713,0.000035800826,0.00007676609,0.0000060659877,0.000005632969,0.0008963047],"genre_scores_gemma":[0.99923503,0.00024335439,0.00018632883,0.00013962945,0.00012453036,0.0000010888316,4.3217608e-7,0.0000045120196,0.00006511461],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99837583,0.00046714203,0.00024032117,0.00011098166,0.0005009732,0.00030472956],"domain_scores_gemma":[0.9982175,0.000354928,0.0009421079,0.00007087294,0.00016159707,0.000252962],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015749932,0.0000726726,0.00041017236,0.00006356167,0.00015170765,0.000020343281,0.00012539882,0.000026999725,0.000008007801],"category_scores_gemma":[0.0002804133,0.000054934353,0.000048498918,0.0006328217,0.00045494764,0.00045376102,0.000005654332,0.00028143052,8.65257e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004534259,0.00028027158,0.9549514,0.000008689249,0.000019926998,0.0000040550053,0.008438916,0.000001094812,0.0000039295446,0.00023599583,0.00017117122,0.03583918],"study_design_scores_gemma":[0.00035058125,0.00034984757,0.99578404,0.000018621384,0.000004831657,0.0000015443599,0.0020811497,0.0000045964885,0.0000041342937,0.00014915646,0.0011960922,0.0000554247],"about_ca_topic_score_codex":0.0029000668,"about_ca_topic_score_gemma":0.004579389,"teacher_disagreement_score":0.040832594,"about_ca_system_score_codex":0.00024828038,"about_ca_system_score_gemma":0.0012928958,"threshold_uncertainty_score":0.4384053},"labels":[],"label_agreement":null},{"id":"W2071452805","doi":"10.1080/13658816.2013.818151","title":"Toward a kinetic-based probabilistic time geography","year":2013,"lang":"en","type":"article","venue":"International Journal of Geographical Information Systems","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Ministry of Environment","keywords":"Time geography; Probabilistic logic; Movement (music); Random walk; Skewness; Geography; Set (abstract data type); Distribution (mathematics); Probability density function; Spacetime; Kinematics; Computer science; Mathematics; Statistical physics; Econometrics; Statistics; Human geography; Physics; Economic geography; Mathematical analysis","score_opus":0.014718357938674308,"score_gpt":0.26712618202771116,"score_spread":0.25240782408903684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2071452805","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9607045,0.00021653493,0.009668271,0.0060211304,0.003181108,0.0008657619,0.00004102607,0.00010971421,0.019191945],"genre_scores_gemma":[0.99892896,0.000014465929,0.00025636953,0.00032351702,0.00039377282,0.000020373525,0.000022184875,0.000004260639,0.00003606765],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971892,0.00012607363,0.0010355491,0.00007862673,0.001358571,0.0002119589],"domain_scores_gemma":[0.99631864,0.00015090329,0.0006885543,0.00010464108,0.0025219305,0.00021530532],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009800766,0.00011396093,0.00021835296,0.00060500676,0.00011296239,0.0006272644,0.0006845133,0.00012312047,0.0005408292],"category_scores_gemma":[0.0002524282,0.000091853144,0.00027781908,0.00040572914,0.00027545766,0.002254586,0.000016747274,0.00021453074,0.00016917339],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035066684,0.0007496199,0.92408323,0.00021236816,0.00076880626,0.000022993812,0.0069797873,0.005222565,0.0001390719,0.03130497,0.01025397,0.019911945],"study_design_scores_gemma":[0.0030282058,0.00035220303,0.73309773,0.00050523697,0.00010719475,0.00003083369,0.0026371372,0.007388973,0.000046865895,0.0072896755,0.24483521,0.0006807186],"about_ca_topic_score_codex":0.0018758108,"about_ca_topic_score_gemma":0.000016221178,"teacher_disagreement_score":0.23458125,"about_ca_system_score_codex":0.00006781095,"about_ca_system_score_gemma":0.00017552549,"threshold_uncertainty_score":0.60487247},"labels":[],"label_agreement":null},{"id":"W2071591468","doi":"10.1111/j.1468-2257.2008.00464.x","title":"New Insights into Senior Travel Behavior: The Canadian Experience","year":2009,"lang":"en","type":"article","venue":"Growth and Change","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":70,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"","keywords":"Travel behavior; Business; Marketing; Psychology; Advertising; Economics; Microeconomics","score_opus":0.03911910947900616,"score_gpt":0.28916139542029884,"score_spread":0.2500422859412927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2071591468","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9847044,0.0008281557,0.000014021161,0.0049491567,0.00014769481,0.0002309764,0.0000019359436,0.00002219871,0.009101493],"genre_scores_gemma":[0.9978936,0.00007374801,0.000037883434,0.0012576457,0.00040771812,0.000017191103,0.0000028406075,0.0000024501937,0.00030695845],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.999355,0.00002336824,0.000075623124,0.00015236394,0.00015627817,0.00023736051],"domain_scores_gemma":[0.99951667,0.000008872189,0.000019169052,0.000094174546,0.000020051808,0.00034104325],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006950939,0.00006902488,0.00007010025,0.000033327837,0.00081677607,0.00008491158,0.0001843061,0.0000689697,0.000097461314],"category_scores_gemma":[0.0000089343175,0.00004812935,0.000025493237,0.00017536382,0.00013818333,0.00023613937,0.0000042629777,0.0000770533,0.0000046599157],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006547035,0.000028556844,0.336392,0.0000045344786,0.0000024025665,0.000023511193,0.5809609,1.9962512e-9,0.00017733427,0.01046906,0.0005484765,0.07138664],"study_design_scores_gemma":[0.00008715492,0.000024227676,0.9848202,0.000004265475,0.000009382964,2.1164357e-7,0.004188087,5.944175e-7,0.00021021675,0.0029548684,0.0076031527,0.00009762645],"about_ca_topic_score_codex":0.7433525,"about_ca_topic_score_gemma":0.9354957,"teacher_disagreement_score":0.64842826,"about_ca_system_score_codex":0.00003295995,"about_ca_system_score_gemma":0.00015616407,"threshold_uncertainty_score":0.6282064},"labels":[],"label_agreement":null},{"id":"W2071716687","doi":"10.1249/mss.0b013e318237fe18","title":"Neighborhood Environment and Psychosocial Correlates of Adults’ Physical Activity","year":2011,"lang":"en","type":"article","venue":"Medicine & Science in Sports & Exercise","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":135,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Heart, Lung, and Blood Institute","keywords":"Walkability; Psychosocial; Built environment; Residence; Level design; Pedestrian; Psychology; Stressor; Physical activity; Environmental health; Gerontology; Medicine; Transport engineering; Demography; Physical medicine and rehabilitation; Engineering; Clinical psychology","score_opus":0.018765256926637774,"score_gpt":0.2821656623614401,"score_spread":0.2634004054348023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2071716687","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9897781,0.000043615848,0.000022927752,0.00026447282,0.00032541048,0.0003221627,0.0000016980991,0.000023000754,0.009218625],"genre_scores_gemma":[0.9994214,0.00029009045,0.00006794333,0.000019877662,0.00010885789,0.00001280166,6.5651903e-7,0.00000550607,0.00007286044],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979656,0.000029584953,0.00024603153,0.00046429923,0.0009086085,0.00038589266],"domain_scores_gemma":[0.9992901,0.000039994757,0.00016927076,0.0002383858,0.000046870075,0.00021536372],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0012663248,0.00013593047,0.00034822052,0.00013565423,0.00025186624,0.000008617828,0.00037532486,0.00006245877,0.0004864764],"category_scores_gemma":[0.00006974254,0.000108017775,0.000040382707,0.0006403997,0.004688995,0.00072090677,0.000040979543,0.00017111577,0.0000029831351],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000063032916,0.00031398956,0.89617205,0.000010390353,1.633801e-7,0.000009083634,0.047107153,2.2494214e-7,0.000053879314,0.00012873634,0.000011849728,0.05612945],"study_design_scores_gemma":[0.0003467383,0.00006844992,0.99277806,0.000116155,0.000020806567,2.0941056e-7,0.0038343535,0.000039891867,0.000047631835,0.0025497521,0.000082560065,0.00011541713],"about_ca_topic_score_codex":0.003628985,"about_ca_topic_score_gemma":0.00023739233,"teacher_disagreement_score":0.09660599,"about_ca_system_score_codex":0.000057251018,"about_ca_system_score_gemma":0.00014281059,"threshold_uncertainty_score":0.9980197},"labels":[],"label_agreement":null},{"id":"W2072091954","doi":"10.1186/s12966-015-0176-6","title":"A novel assessment of adolescent mobility: a pilot study","year":2015,"lang":"en","type":"article","venue":"International Journal of Behavioral Nutrition and Physical Activity","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Auckland University of Technology, New Zealand","keywords":"Clinical nutrition; Behavioural sciences; Medicine; Psychology; Gerontology; Psychotherapist; Internal medicine","score_opus":0.14416721892838089,"score_gpt":0.44551408057522096,"score_spread":0.3013468616468401,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2072091954","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99828666,0.000010735348,0.000601639,0.00045211663,0.000282724,0.00020432273,0.000028260241,0.000006808431,0.0001267428],"genre_scores_gemma":[0.99940866,0.000006098879,0.00021292898,0.000012540467,0.00034033816,0.00000500985,0.0000015830052,0.0000031771408,0.00000967389],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986838,0.00010641417,0.00021127418,0.00010882098,0.0008053125,0.00008439406],"domain_scores_gemma":[0.99880344,0.0000407194,0.00025848256,0.00005690201,0.000690913,0.00014952838],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004809979,0.00007112254,0.00020805192,0.00006573427,0.000045704688,0.000045523637,0.00018960703,0.00002014136,0.0000124458065],"category_scores_gemma":[0.000018669722,0.00006169706,0.00007938409,0.00009176702,0.00016115324,0.00047491005,0.000026961807,0.00018781533,2.6350668e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009812426,0.14656185,0.8121762,0.00002080475,0.00006986999,0.000023612196,0.004312067,0.0000049737346,0.018467683,0.0005361657,0.00008734141,0.016758166],"study_design_scores_gemma":[0.002785694,0.0018983985,0.99041224,0.000062012215,0.00006536134,0.00000229314,0.0026783,0.000055768873,0.00069123233,0.0009915605,0.0002661615,0.00009096217],"about_ca_topic_score_codex":0.0013915579,"about_ca_topic_score_gemma":0.00032832348,"teacher_disagreement_score":0.17823604,"about_ca_system_score_codex":0.00013760674,"about_ca_system_score_gemma":0.0001574038,"threshold_uncertainty_score":0.2515933},"labels":[],"label_agreement":null},{"id":"W2072268295","doi":"10.1136/injuryprev-2012-040500","title":"Assessing inter-rater agreement of environmental audit data in a matched case-control study on bicycling injuries","year":2013,"lang":"en","type":"article","venue":"Injury Prevention","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; University of Calgary","funders":"Canadian Institutes of Health Research","keywords":"Audit; Poison control; Injury prevention; Pedestrian; Occupational safety and health; Human factors and ergonomics; Transport engineering; Medicine; Psychology; Physical therapy; Environmental health; Engineering; Accounting; Business","score_opus":0.04575145731217519,"score_gpt":0.365647956397757,"score_spread":0.3198964990855818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2072268295","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99793845,0.000023018078,0.00035996825,0.00013096949,0.00016456534,0.00095127634,0.000053508287,0.000018970306,0.00035926612],"genre_scores_gemma":[0.99951553,0.0000024696087,0.000121951634,0.000023436147,0.00007158192,0.000043771677,0.000020119527,0.000007226562,0.00019390849],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983237,0.0003896846,0.00047493275,0.00033034952,0.00028572348,0.00019563736],"domain_scores_gemma":[0.9992643,0.0000609806,0.00020172597,0.0004161694,0.000014063522,0.00004278743],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013789707,0.00010761644,0.00019875127,0.0000990006,0.00013809171,0.00012101343,0.00029257708,0.00006191622,0.0010924551],"category_scores_gemma":[0.000036329682,0.00009947417,0.000047098012,0.00011817013,0.000109281944,0.0014350697,0.00007081697,0.00012769786,0.000038194554],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003720623,0.0011467396,0.95777905,0.000014518658,0.000036605332,0.000014410632,0.0049366066,0.0000013963955,0.002353318,0.000008911416,0.00003046309,0.0336408],"study_design_scores_gemma":[0.000522406,0.00016942846,0.98311347,0.000068211084,0.000043100452,2.1773073e-7,0.014725477,0.000050804676,0.00031039285,0.0008444462,0.000038364124,0.00011367033],"about_ca_topic_score_codex":0.0027883584,"about_ca_topic_score_gemma":0.003425596,"teacher_disagreement_score":0.033527125,"about_ca_system_score_codex":0.000099709374,"about_ca_system_score_gemma":0.000038857943,"threshold_uncertainty_score":0.9998207},"labels":[],"label_agreement":null},{"id":"W2072451423","doi":"10.5539/jsd.v5n10p68","title":"Mode-Based Transport Sustainability: A Comparative Study of Taipei and Kaohsiung Cities","year":2012,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Sustainability; Mode (computer interface); Sustainable transport; Mode of transport; Business; Urban sustainability; Transport engineering; Environmental science; Environmental economics; Public transport; Computer science; Engineering; Economics; Ecology","score_opus":0.0298501459806517,"score_gpt":0.3187836835096695,"score_spread":0.2889335375290178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2072451423","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969738,0.0005496214,0.00048843137,0.00025357108,0.00008975275,0.00067001407,0.0000010864837,0.000012360734,0.00096136733],"genre_scores_gemma":[0.9984148,0.000006974518,0.00061165146,0.00001986527,0.000093457355,0.000016047541,0.0000012890323,0.000007975818,0.000827946],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99754536,0.00018598662,0.0008319126,0.00014347972,0.0007261607,0.0005671209],"domain_scores_gemma":[0.99758965,0.00012050683,0.0004670462,0.00011807091,0.0014417315,0.00026297718],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002559039,0.00016490735,0.0005096658,0.0002635454,0.00044023994,0.00003597456,0.00023844911,0.00007246665,0.000054448425],"category_scores_gemma":[0.000086049775,0.00014001536,0.00007693468,0.0004241268,0.00030167337,0.00088674726,0.00002266646,0.00020541753,2.2985427e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016368569,0.00084354595,0.76504946,0.00018708964,0.000074103285,0.00004826823,0.23221986,0.000075473385,0.0000070782908,0.00089987105,0.000033045355,0.00039851683],"study_design_scores_gemma":[0.000783485,0.00014944424,0.5008831,0.000020568115,0.000052054216,6.509014e-7,0.49328694,0.0000032681046,0.00026155016,0.00059124245,0.0038422744,0.0001254083],"about_ca_topic_score_codex":0.0008128595,"about_ca_topic_score_gemma":0.00043286555,"teacher_disagreement_score":0.26416636,"about_ca_system_score_codex":0.0005980248,"about_ca_system_score_gemma":0.0022017,"threshold_uncertainty_score":0.57096606},"labels":[],"label_agreement":null},{"id":"W2072553907","doi":"10.1016/j.jth.2014.09.008","title":"Destinations matter: The association between where older adults live and their travel behavior","year":2014,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":158,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; British Columbia Centre of Excellence for Women's Health; University of British Columbia","funders":"Canadian Institutes of Health Research; University of British Columbia; Michael Smith Health Research BC","keywords":"Destinations; TRIPS architecture; Gerontology; Population; Travel behavior; Psychology; Affect (linguistics); Demography; Medicine; Geography; Environmental health; Computer science; Transport engineering; Sociology","score_opus":0.016558016986019275,"score_gpt":0.29686078906036106,"score_spread":0.2803027720743418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2072553907","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98399097,0.0004887445,0.0012438882,0.013274568,0.00018662933,0.0002997891,0.000035865683,0.000011972855,0.00046758738],"genre_scores_gemma":[0.99853784,0.000251957,0.00018775639,0.0003701484,0.000433547,0.0000048691477,0.00000668395,0.000009727018,0.00019748944],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983502,0.00022571294,0.0005998055,0.00013172347,0.0004043112,0.00028823438],"domain_scores_gemma":[0.9985373,0.00024525635,0.0006620871,0.00010159046,0.0002355522,0.00021820013],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027521946,0.0001086677,0.00030825942,0.00005432726,0.0006115391,0.000039464143,0.00023542206,0.00009954388,0.0001327974],"category_scores_gemma":[0.000028265591,0.00007110411,0.00013000648,0.00015147927,0.00010591896,0.0003067792,0.0000025199604,0.00035423815,0.00000406545],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009875897,0.00007662448,0.9658733,0.000036604706,0.00001796012,8.360926e-7,0.02395875,4.6248417e-7,0.0000019394718,0.000057862777,0.00024541334,0.009720358],"study_design_scores_gemma":[0.0004075472,0.00007626663,0.9934256,0.00012415148,0.00006993942,0.0000011003345,0.003256116,0.0000016672358,0.000005957089,0.00023878737,0.0023192284,0.00007360182],"about_ca_topic_score_codex":0.002667822,"about_ca_topic_score_gemma":0.011158336,"teacher_disagreement_score":0.027552325,"about_ca_system_score_codex":0.00016052021,"about_ca_system_score_gemma":0.00032871062,"threshold_uncertainty_score":0.62266135},"labels":[],"label_agreement":null},{"id":"W2072598740","doi":"10.1002/atr.102","title":"Analysis of work trips made by taxi in canadian cities","year":2010,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"","keywords":"TRIPS architecture; Taxis; Public transport; Transport engineering; Disadvantaged; Work (physics); Regression analysis; Population; Geography; Journey to work; Transit (satellite); Demographic economics; Statistics; Demography; Economic growth; Economics; Engineering; Mathematics; Sociology","score_opus":0.008842574971560482,"score_gpt":0.2767584363862897,"score_spread":0.26791586141472923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2072598740","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985438,0.00015558327,0.00009923289,0.00040608208,0.00028752943,0.00007511853,0.000047682945,0.0000042534193,0.00038073224],"genre_scores_gemma":[0.99899244,0.00006600901,0.00071487075,0.000027956414,0.000047940142,0.000001440609,0.000034253473,0.0000046446967,0.00011043129],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987686,0.000031536747,0.0005812394,0.000093873496,0.00031440053,0.00021030851],"domain_scores_gemma":[0.99912494,0.000057009485,0.00037483036,0.00007652676,0.00018344668,0.00018325658],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060689205,0.00007047492,0.00028340166,0.00047145996,0.00007540994,0.000013558547,0.00017385656,0.00009170184,0.00025913893],"category_scores_gemma":[0.000047504724,0.000067986824,0.00016611892,0.0013616226,0.00012304503,0.00050710386,2.4983336e-7,0.00025587392,2.9143087e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000063476444,0.000039123093,0.98541147,0.0000065966856,0.00006447983,0.000008589338,0.008780473,0.0013069919,0.0017495432,0.0002293087,0.000029863073,0.0023100916],"study_design_scores_gemma":[0.00029746012,0.000018110622,0.99277085,0.000016725398,0.00018258305,3.5278163e-8,0.0021227628,0.0000024750889,0.00034584626,0.0004034571,0.0037698764,0.00006981867],"about_ca_topic_score_codex":0.0878395,"about_ca_topic_score_gemma":0.9305605,"teacher_disagreement_score":0.84272105,"about_ca_system_score_codex":0.00006674776,"about_ca_system_score_gemma":0.00035626887,"threshold_uncertainty_score":0.91823465},"labels":[],"label_agreement":null},{"id":"W2072871805","doi":"10.1016/j.ssresearch.2010.09.003","title":"Measuring active living in Canada: A time-use perspective","year":2010,"lang":"en","type":"article","venue":"Social Science Research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Saint Mary's University; McMaster University","funders":"","keywords":"Psychological intervention; Physical activity; Environmental health; Gerontology; Perspective (graphical); Public health; Population; Medicine; Quality of life (healthcare); Psychology; Demography; Physical therapy; Computer science; Nursing","score_opus":0.12119784936323028,"score_gpt":0.4138964109656807,"score_spread":0.29269856160245045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2072871805","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8864467,0.0000083277555,0.0000010098227,0.0011480553,0.00017143815,0.0002510427,0.0000044744666,0.00002048883,0.111948445],"genre_scores_gemma":[0.998968,0.000003534389,0.000027815477,0.000019589614,0.0002886455,0.000016059339,1.9989655e-7,0.0000058346964,0.00067029655],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9954238,0.000318549,0.00014500257,0.00047332424,0.0024850513,0.0011542508],"domain_scores_gemma":[0.9980437,0.00057184184,0.00003688615,0.00015314957,0.0009237489,0.00027067034],"candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.007472943,0.00007769336,0.00013638943,0.00024735613,0.00286812,0.00029703358,0.000948639,0.000076966804,0.00048791678],"category_scores_gemma":[0.0043289894,0.00007736251,0.000037330923,0.0032688167,0.002922803,0.0012586706,0.00013019021,0.0010132244,0.000024038565],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.000020953275,0.000096906886,0.8739325,0.0000043335135,0.000004449847,0.000020464144,0.0854626,4.9279475e-7,0.009792018,0.02023657,0.00016894283,0.010259789],"study_design_scores_gemma":[0.00005695845,0.0000058175083,0.9572966,0.000011644548,0.0000010537849,6.0229915e-8,0.039053775,0.000028134655,0.0004361019,0.0024268394,0.00056889816,0.00011409419],"about_ca_topic_score_codex":0.9915322,"about_ca_topic_score_gemma":0.9978266,"teacher_disagreement_score":0.11252131,"about_ca_system_score_codex":0.004012618,"about_ca_system_score_gemma":0.01956115,"threshold_uncertainty_score":0.9998108},"labels":[],"label_agreement":null},{"id":"W2073110342","doi":"10.1016/j.compenvurbsys.2012.03.001","title":"Discrete choice in commuter space: Small area analysis of diurnal population change in the Tokyo Metropolitan Region","year":2012,"lang":"en","type":"article","venue":"Computers Environment and Urban Systems","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Metropolitan area; Geography; Space (punctuation); Population; Economic geography; Regional science; Demography; Computer science; Sociology; Archaeology","score_opus":0.0562958837086706,"score_gpt":0.278580071680168,"score_spread":0.2222841879714974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2073110342","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996479,0.0015953722,0.0008015966,0.00026247368,0.00016150551,0.00035009833,0.0000053298068,0.0000069841512,0.00033766436],"genre_scores_gemma":[0.99954456,0.0000631281,0.00003416894,0.00003835779,0.00021268372,0.000018908751,0.00003524973,0.0000044051153,0.000048534952],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986827,0.00035638863,0.00030141138,0.00016160497,0.00024235195,0.00025556283],"domain_scores_gemma":[0.99944085,0.00012208603,0.0001536339,0.00021066995,0.0000039426704,0.00006882302],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079795445,0.00010509777,0.0002768907,0.0001923978,0.00010439049,0.00004214631,0.00019821269,0.00006812278,0.000008347165],"category_scores_gemma":[0.0000048642805,0.0000775769,0.00007860807,0.0003687132,0.00012415378,0.00027467217,0.00002761919,0.00009816755,5.087501e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005745344,0.00006199375,0.98800546,0.000015308116,0.00003387408,0.0000010956443,0.010732244,0.000033728236,0.0000022807612,0.0008797742,0.000031567855,0.00019691375],"study_design_scores_gemma":[0.00016865863,0.000015362217,0.99451846,0.000033342956,0.000092414826,1.4355446e-7,0.0017804671,0.0016324761,5.821089e-7,0.000011881323,0.00165458,0.00009160418],"about_ca_topic_score_codex":0.026290035,"about_ca_topic_score_gemma":0.005352325,"teacher_disagreement_score":0.02093771,"about_ca_system_score_codex":0.00018832217,"about_ca_system_score_gemma":0.0000027536876,"threshold_uncertainty_score":0.980194},"labels":[],"label_agreement":null},{"id":"W2073583059","doi":"10.1007/s10900-008-9104-x","title":"Places to Play: Association of Park Space and Facilities with Healthy Weight Status among Children","year":2008,"lang":"en","type":"article","venue":"Journal of Community Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":221,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Overweight; Logistic regression; Environmental health; Geography; Demography; Association (psychology); Gerontology; Obesity; Socioeconomics; Medicine; Psychology; Sociology","score_opus":0.022341610881497255,"score_gpt":0.3035239490508805,"score_spread":0.2811823381693832,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2073583059","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99242246,0.000552434,0.000059451973,0.005805304,0.00006929174,0.00020823369,0.000040060553,0.000011643003,0.0008311358],"genre_scores_gemma":[0.9976451,0.0012879107,0.00044217485,0.00033357524,0.000076572054,9.2952007e-7,0.0000036374954,0.000005219761,0.00020487414],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975029,0.0010523148,0.00048442482,0.000056351255,0.0005743219,0.00032968028],"domain_scores_gemma":[0.99784905,0.00042792605,0.00082316564,0.0001559268,0.0002662086,0.00047775244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002927248,0.00009076175,0.00039314482,0.000112432324,0.001114955,0.000023650733,0.00022255888,0.00006709136,0.000027402393],"category_scores_gemma":[0.00024742098,0.00007304966,0.000045501394,0.00024869377,0.00025540756,0.00039783976,0.000020714251,0.00060719054,4.4232118e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015406382,0.00012131326,0.9210395,0.00003808235,0.000027305621,6.663914e-7,0.07669886,0.0000090207395,8.8616974e-7,0.000070842456,0.0014701447,0.00036930933],"study_design_scores_gemma":[0.00051394553,0.00068355707,0.98444045,0.00006639554,0.000008313682,0.0000021022724,0.010992849,4.895845e-7,0.000012773853,0.00018794357,0.0030256363,0.00006556568],"about_ca_topic_score_codex":0.07167216,"about_ca_topic_score_gemma":0.09997615,"teacher_disagreement_score":0.065706015,"about_ca_system_score_codex":0.00036171047,"about_ca_system_score_gemma":0.0014640169,"threshold_uncertainty_score":0.93450963},"labels":[],"label_agreement":null},{"id":"W2073587934","doi":"10.1016/j.socscimed.2014.07.006","title":"Where do they go and how do they get there? Older adults' travel behaviour in a highly walkable environment","year":2014,"lang":"en","type":"article","venue":"Social Science & Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":122,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Simon Fraser University","funders":"Michael Smith Health Research BC","keywords":"Poison control; Travel behavior; Suicide prevention; Human factors and ergonomics; Injury prevention; Psychology; Transport engineering; Sociology; Gerontology; Environmental health; Medicine; Engineering","score_opus":0.010176671296535846,"score_gpt":0.2642827835352422,"score_spread":0.2541061122387064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2073587934","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9672294,0.00075006695,0.00003446532,0.009705326,0.00026631207,0.0004305305,0.000006839239,0.00003647412,0.021540556],"genre_scores_gemma":[0.998169,0.00027053978,0.000024704419,0.00016514567,0.0005806538,0.00002547768,0.000002249786,0.000011539517,0.0007506798],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969962,0.00018757589,0.00025342958,0.0006461175,0.0012024409,0.00071421795],"domain_scores_gemma":[0.9991928,0.00008840917,0.00014254618,0.00023286526,0.00006042778,0.00028295605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003567533,0.00020184947,0.00035179523,0.000099983794,0.0010279195,0.00013427914,0.00065746106,0.00015477091,0.00030221135],"category_scores_gemma":[0.00013158949,0.00014644145,0.00005475294,0.00037707013,0.0027013628,0.00052421686,0.000047681275,0.00026943273,0.000008924056],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020345422,0.00011538065,0.81355107,0.000019516012,0.0000032722999,0.0000050580898,0.15924889,2.8123299e-7,0.00056098116,0.0054296535,0.00027273805,0.020772787],"study_design_scores_gemma":[0.001130112,0.000090886846,0.958799,0.000149781,0.000028570037,2.9536565e-7,0.029021546,0.000008281777,0.000048688256,0.007558331,0.0029110003,0.00025353156],"about_ca_topic_score_codex":0.013167286,"about_ca_topic_score_gemma":0.020418927,"teacher_disagreement_score":0.14524788,"about_ca_system_score_codex":0.00019264309,"about_ca_system_score_gemma":0.000162329,"threshold_uncertainty_score":0.9974559},"labels":[],"label_agreement":null},{"id":"W2073687890","doi":"10.3141/1835-03","title":"Transit Use and Proximity to Rail: Results from Large Employment Sites in the San Francisco, California, Bay Area","year":2003,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mile; Bay; Transit (satellite); Quarter (Canadian coin); Light rail transit; Rail transit; Transport engineering; Vehicle miles of travel; Work (physics); Journey to work; Public transport; Geography; Engineering; Civil engineering; Archaeology","score_opus":0.13288680097927869,"score_gpt":0.3941461754343976,"score_spread":0.26125937445511893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2073687890","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98761606,0.00021518327,0.0011576001,0.0078010755,0.00021489219,0.0019958902,0.0007204849,0.000022782795,0.0002560046],"genre_scores_gemma":[0.9977146,0.00041818025,0.0010332308,0.00022268399,0.0001309223,0.000086337,0.000054001997,0.00003388997,0.0003061671],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9879379,0.003920616,0.001671372,0.0006538948,0.004556599,0.0012595862],"domain_scores_gemma":[0.9937763,0.0028777786,0.00032462954,0.0005994536,0.0018552829,0.0005665299],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.015576215,0.000286541,0.00051058515,0.00067488686,0.0013871326,0.00043357268,0.0012537632,0.00024729068,0.00044960433],"category_scores_gemma":[0.0011523837,0.00019191508,0.00027807188,0.0027767888,0.0008242592,0.0012627759,0.000004911068,0.0022181019,0.000013769288],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015841873,0.00045130195,0.95073974,0.00004367583,0.000056021625,0.000097084696,0.041762777,0.00015084627,0.00065286807,0.0014269744,0.002231896,0.00080264115],"study_design_scores_gemma":[0.0021232762,0.00025298022,0.9384013,0.00019774033,0.000042331343,8.643644e-8,0.010955697,0.000015579593,0.00032525274,0.00416306,0.043314297,0.00020843845],"about_ca_topic_score_codex":0.06447122,"about_ca_topic_score_gemma":0.74504596,"teacher_disagreement_score":0.6805747,"about_ca_system_score_codex":0.00023305466,"about_ca_system_score_gemma":0.00078581896,"threshold_uncertainty_score":0.9999129},"labels":[],"label_agreement":null},{"id":"W2073887098","doi":"10.2202/1935-1682.2522","title":"An Economic Analysis of Participation and Time Spent in Physical Activity","year":2011,"lang":"en","type":"article","venue":"The B E Journal of Economic Analysis & Policy","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":114,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Duration (music); Affect (linguistics); Demographic economics; Marital status; Economics; Time allocation; Physical activity; Race (biology); Opportunity cost; Public economics; Psychology; Microeconomics; Demography; Sociology; Medicine","score_opus":0.04614314064237892,"score_gpt":0.3669128179050451,"score_spread":0.3207696772626662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2073887098","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979812,0.000018861198,0.000061234394,0.00022142641,0.000014929866,0.000049199556,0.000010136444,0.0000027754377,0.0016402162],"genre_scores_gemma":[0.99970007,0.000050342423,0.00001932759,0.000015601883,0.00016229754,7.284329e-7,0.0000017391135,0.0000035505784,0.000046313402],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988996,0.00028790726,0.00043781564,0.00012247152,0.00008118389,0.00017104877],"domain_scores_gemma":[0.9988446,0.000111708105,0.0006767566,0.00022212234,0.000028976816,0.00011581654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014465332,0.00008611358,0.00057653117,0.0006849725,0.00008229575,0.000023762272,0.00031388164,0.00003984678,0.00045740674],"category_scores_gemma":[0.000019443714,0.00006527288,0.00034380122,0.00055581867,0.00025386276,0.00051606563,0.000014941619,0.00009464136,0.000008232105],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012758159,0.000265656,0.9663916,0.0000016882527,0.0023569437,5.678635e-7,0.019347595,0.00755419,0.0001914092,0.0017172054,0.00000483773,0.0020406835],"study_design_scores_gemma":[0.00012916108,0.000042232394,0.9690157,0.0000015528991,0.004110229,5.80762e-8,0.00048001762,0.024091091,0.0002726477,0.0017802595,0.000008762504,0.000068250774],"about_ca_topic_score_codex":0.044147387,"about_ca_topic_score_gemma":0.033392657,"teacher_disagreement_score":0.018867576,"about_ca_system_score_codex":0.00022565055,"about_ca_system_score_gemma":0.00021344643,"threshold_uncertainty_score":0.9842454},"labels":[],"label_agreement":null},{"id":"W2073974136","doi":"10.1108/ijwhm-06-2013-0021","title":"Quality of online physical activity information for long-haul truck drivers","year":2014,"lang":"en","type":"article","venue":"International Journal of Workplace Health Management","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre for Addiction and Mental Health","funders":"","keywords":"Readability; Population; Quality (philosophy); World Wide Web; The Internet; Applied psychology; Computer science; Psychology; Medicine; Environmental health","score_opus":0.03307788127552989,"score_gpt":0.40575842972697584,"score_spread":0.37268054845144594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2073974136","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90703464,0.000015129094,0.07651928,0.013265316,0.0009588636,0.0003181798,0.000028102611,0.000011821415,0.0018486896],"genre_scores_gemma":[0.9969505,0.0000652773,0.0019983298,0.00036142473,0.00040213604,0.0000030066396,0.000013350956,0.000003233305,0.00020272633],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9982895,0.0001491549,0.00051015255,0.00008085202,0.0008082121,0.00016210305],"domain_scores_gemma":[0.99814457,0.00018638237,0.0010363755,0.000087219436,0.00044224743,0.00010317845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019532233,0.00007259128,0.00022916793,0.0001389512,0.00010483567,0.0000397968,0.00041401788,0.000031928696,0.000025631154],"category_scores_gemma":[0.000115776515,0.0000663268,0.00015842504,0.000115125695,0.00008382419,0.0007077831,0.000027173939,0.000118574186,0.0000019081508],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014817544,0.0014531843,0.23718064,0.0004727931,0.00036702573,0.0000021238636,0.007447066,0.0010314841,0.000006146199,0.038288396,0.003950043,0.70831937],"study_design_scores_gemma":[0.001816286,0.00016318563,0.94061184,0.00014336285,0.000024014449,2.8378858e-7,0.0017199788,0.0005061174,0.00002887875,0.003945282,0.05092808,0.0001126952],"about_ca_topic_score_codex":0.00028097327,"about_ca_topic_score_gemma":0.00056293234,"teacher_disagreement_score":0.70820665,"about_ca_system_score_codex":0.00026839,"about_ca_system_score_gemma":0.00014524956,"threshold_uncertainty_score":0.27047282},"labels":[],"label_agreement":null},{"id":"W2073990307","doi":"10.7202/013039ar","title":"Déplacements domicile-travail en Île-de-France et choix individuels du mode de transport","year":2006,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.017654405909718302,"score_gpt":0.27854498023627305,"score_spread":0.26089057432655477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2073990307","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9669536,0.001583664,0.0038388993,0.008882257,0.0008410496,0.0007107791,0.0005722554,0.00017327564,0.016444258],"genre_scores_gemma":[0.9527525,0.0007273203,0.0014385803,0.002785735,0.0014470015,0.00010001935,0.0001472994,0.000067201174,0.04053438],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99581313,0.00077323476,0.001009425,0.00085937104,0.00023700719,0.001307827],"domain_scores_gemma":[0.99822587,0.00042881953,0.00036643914,0.0005032765,0.00008351109,0.0003920619],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0026941125,0.0005398635,0.0007004741,0.00009788244,0.000402656,0.0002037205,0.0009415166,0.0007688646,0.0019170012],"category_scores_gemma":[0.000052252744,0.0006135593,0.00039695582,0.00032300325,0.0007663394,0.001242361,0.00003680098,0.0006422197,0.000165153],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001188571,0.0007963357,0.9171171,0.00020140913,0.00013448985,0.00004119422,0.030077728,0.0015637379,0.00052101363,0.042889696,0.002314834,0.004223597],"study_design_scores_gemma":[0.002098472,0.00008495802,0.5919812,0.00021606326,0.0002029793,0.0000051001875,0.00094609737,0.0005841883,0.0023416765,0.034594737,0.36591828,0.0010262846],"about_ca_topic_score_codex":0.12647015,"about_ca_topic_score_gemma":0.03848631,"teacher_disagreement_score":0.36360347,"about_ca_system_score_codex":0.0007962496,"about_ca_system_score_gemma":0.0010992646,"threshold_uncertainty_score":0.9996316},"labels":[],"label_agreement":null},{"id":"W2074338743","doi":"10.3141/2054-06","title":"Analysis of Planning Decisions during the Activity-Scheduling Process","year":2008,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Scheduling (production processes); Time horizon; Operations research; Computer science; Multivariate probit model; Endogeneity; Operations management; Business; Econometrics; Economics; Engineering; Finance","score_opus":0.16407815997440817,"score_gpt":0.4569574114560421,"score_spread":0.2928792514816339,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074338743","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956081,0.0002325781,0.0010552844,0.0017697389,0.00023968825,0.0007142701,0.0000514212,0.000023383409,0.00030555465],"genre_scores_gemma":[0.99823296,0.00069486,0.00033094428,0.0000137994075,0.0001711187,0.000036419933,0.000007335769,0.000026664495,0.0004858941],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99009395,0.0016487811,0.0013716847,0.0003992755,0.0055918954,0.00089439825],"domain_scores_gemma":[0.9916622,0.0024697566,0.0007154365,0.0005337203,0.0042579193,0.00036095208],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0072021657,0.00020310018,0.0006068484,0.0015132953,0.0031063026,0.00009402844,0.0018040246,0.00019617127,0.0003738978],"category_scores_gemma":[0.00061937637,0.00013375455,0.0007776208,0.008303276,0.002100638,0.0009672755,0.000006658768,0.0022021024,0.000003505459],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008967663,0.00022976588,0.9550514,0.000071851944,0.000481272,0.0000726672,0.031124866,0.009743197,0.0012024824,0.00027587672,0.00008287122,0.0007669441],"study_design_scores_gemma":[0.0005984949,0.00010239902,0.98705274,0.0001919393,0.00025027036,1.1632044e-7,0.008872365,0.00015792334,0.0011805106,0.00069451495,0.0007649615,0.00013377472],"about_ca_topic_score_codex":0.019590845,"about_ca_topic_score_gemma":0.100084625,"teacher_disagreement_score":0.08049378,"about_ca_system_score_codex":0.00021052072,"about_ca_system_score_gemma":0.0013661317,"threshold_uncertainty_score":0.99819154},"labels":[],"label_agreement":null},{"id":"W2075393887","doi":"10.1186/1710-1492-10-s1-a8","title":"Longitudinal associations between neighbourhood walkability and incident childhood asthma","year":2014,"lang":"en","type":"article","venue":"Allergy Asthma and Clinical Immunology","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Hospital for Sick Children; Institute for Clinical Evaluative Sciences; SickKids Foundation; University of Toronto","funders":"","keywords":"Walkability; Neighbourhood (mathematics); Longitudinal study; Asthma; Environmental health; Geography; Medicine; Physical activity; Physical medicine and rehabilitation; Mathematics; Internal medicine","score_opus":0.0255000256124116,"score_gpt":0.3284754926343785,"score_spread":0.30297546702196687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075393887","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9906287,0.00046720414,0.00018922915,0.0030559206,0.00033552287,0.00016204143,0.000015742677,0.00008430894,0.005061319],"genre_scores_gemma":[0.9983534,0.00048540533,0.00017333042,0.00018283675,0.00054536806,0.0000075959683,0.00003029009,0.00001095107,0.00021078244],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99736017,0.00059404736,0.00074948196,0.0006065188,0.00021756934,0.0004722137],"domain_scores_gemma":[0.99786144,0.0012625956,0.00026095562,0.00026046493,0.00012803475,0.00022653199],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022182164,0.00018202132,0.0005350704,0.000046893314,0.000751253,0.00009112168,0.00029229786,0.000469527,0.00033165878],"category_scores_gemma":[0.0010657071,0.00017063183,0.00015835611,0.00016238191,0.0012225172,0.00028508197,0.00013914768,0.00051895157,0.00002451473],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016903794,0.00021874238,0.93951035,0.0000017135266,0.00019147749,0.0000010471507,0.0005796575,1.0016225e-7,0.0000037146035,0.008714003,0.00003484036,0.050727468],"study_design_scores_gemma":[0.00071037543,0.00025954927,0.9751224,0.0000071850995,0.000023707089,6.131347e-7,0.00024528353,0.000004000573,0.0000034617356,0.01198527,0.011451531,0.00018665199],"about_ca_topic_score_codex":0.0029250425,"about_ca_topic_score_gemma":0.011284841,"teacher_disagreement_score":0.050540812,"about_ca_system_score_codex":0.000041934316,"about_ca_system_score_gemma":0.000103922815,"threshold_uncertainty_score":0.69581646},"labels":[],"label_agreement":null},{"id":"W2076346335","doi":"10.4102/jtscm.v7i1.114","title":"Travel patterns and challenges experienced by University of Johannesburg off-campus students","year":2013,"lang":"en","type":"article","venue":"Journal of Transport and Supply Chain Management","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Transport Canada","funders":"University of Johannesburg","keywords":"Accommodation; University campus; Medical education; Higher education; Psychology; Sociology; Mathematics education; Political science; Medicine; Library science; Computer science","score_opus":0.013557255666063443,"score_gpt":0.24085282176402034,"score_spread":0.2272955660979569,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2076346335","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9943937,0.0024513262,0.00052107754,0.0014741896,0.00010517798,0.0002696953,0.000010253134,0.00000649021,0.0007680585],"genre_scores_gemma":[0.9752644,0.023914015,0.00011708793,0.000032456046,0.000035615172,0.0000011601006,0.0000029485195,0.000005306974,0.00062703603],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99877924,0.000049098722,0.00031286647,0.00017280312,0.0004825899,0.0002033763],"domain_scores_gemma":[0.9994343,0.000020647305,0.00019748499,0.000091546266,0.00008363752,0.00017237788],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005674722,0.00011494843,0.00028257343,0.00009029771,0.00016158707,0.000025053207,0.00031487097,0.00006225459,0.00028488477],"category_scores_gemma":[0.0000017294319,0.00010461103,0.00008403975,0.00007812858,0.0002319972,0.00039068962,0.000016318434,0.000095815965,4.923841e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000562892,0.00023123165,0.94410545,0.00016401401,0.00011527978,0.00005596454,0.03253498,0.0000010765538,0.000059674345,0.00020105527,0.00021209427,0.022262903],"study_design_scores_gemma":[0.000810119,0.000086427965,0.93276095,0.00007059626,0.000071760194,5.9974974e-7,0.060547043,0.0000030654217,0.000027447646,0.00023633023,0.0052738143,0.00011182427],"about_ca_topic_score_codex":0.0010918897,"about_ca_topic_score_gemma":0.0007283344,"teacher_disagreement_score":0.028012061,"about_ca_system_score_codex":0.000021851563,"about_ca_system_score_gemma":0.00001772367,"threshold_uncertainty_score":0.42659137},"labels":[],"label_agreement":null},{"id":"W2076496790","doi":"10.3141/2255-10","title":"Historical Validation of Integrated Transport–Land Use Model System","year":2011,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Microsimulation; Census; Population; Geography; Land use; State (computer science); Operations research; Transport engineering; Regional science; Computer science; Engineering; Demography; Civil engineering; Sociology","score_opus":0.2269011302751849,"score_gpt":0.3955140834797085,"score_spread":0.1686129532045236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2076496790","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9904534,0.00015781476,0.006172785,0.00054853025,0.0006190617,0.0010779543,0.000114030925,0.000057472524,0.00079890445],"genre_scores_gemma":[0.9951438,0.0003421576,0.0029847943,0.00000990675,0.00013354298,0.00004398385,0.000023606292,0.000049952818,0.0012683049],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98967123,0.0017779706,0.0023163157,0.0004865619,0.0047826874,0.0009652579],"domain_scores_gemma":[0.99099994,0.0006631637,0.0008794161,0.000570156,0.006331155,0.0005561933],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007990396,0.00028387783,0.00071438286,0.0011249391,0.00092795223,0.00007775766,0.0015404603,0.0003688586,0.00034809142],"category_scores_gemma":[0.00025485255,0.00021702421,0.00065910374,0.0029175223,0.0012067694,0.0016685898,0.0000042828206,0.001961916,0.0000062865397],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017273969,0.00046209307,0.9713379,0.00030353435,0.00011366624,0.00006290572,0.017592998,0.0005917687,0.0007548852,0.005382721,0.00077401026,0.00089610234],"study_design_scores_gemma":[0.0012148938,0.0003503167,0.9821769,0.0004729375,0.00014213451,1.339479e-7,0.0052594864,0.00017214197,0.0028920863,0.00242052,0.004644659,0.0002537759],"about_ca_topic_score_codex":0.17254789,"about_ca_topic_score_gemma":0.13131699,"teacher_disagreement_score":0.0412309,"about_ca_system_score_codex":0.0010936083,"about_ca_system_score_gemma":0.001975601,"threshold_uncertainty_score":0.88499904},"labels":[],"label_agreement":null},{"id":"W2076608345","doi":"10.1007/s12160-012-9394-1","title":"Interactive Effects of Built Environment and Psychosocial Attributes on Physical Activity: A Test of Ecological Models","year":2012,"lang":"en","type":"article","venue":"Annals of Behavioral Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":96,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Heart, Lung, and Blood Institute; Robert Wood Johnson Foundation","keywords":"Psychosocial; Built environment; Physical activity; Walkability; Level design; Health psychology; Psychology; Test (biology); Quality of life (healthcare); Gerontology; Ecology; Medicine; Physical medicine and rehabilitation; Public health; Computer science","score_opus":0.1359420004852442,"score_gpt":0.4227271421840898,"score_spread":0.2867851416988456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2076608345","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99802893,0.000171207,0.000027083093,0.0010941245,0.00010133006,0.0002701958,0.000024034942,0.0000079908095,0.00027508577],"genre_scores_gemma":[0.9996172,0.00009507065,0.00002206061,0.000034463737,0.00018807009,0.000011843352,0.0000033043054,0.000004729264,0.000023215225],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989465,0.00009650091,0.00019780741,0.00015259386,0.00038525584,0.0002213335],"domain_scores_gemma":[0.9989228,0.0005415249,0.00023041124,0.00011591936,0.00005870582,0.00013060318],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003469339,0.0001090248,0.0004382369,0.000046285408,0.000052902196,0.0000017599965,0.000115296585,0.00008640012,0.000052335607],"category_scores_gemma":[0.00009830655,0.00008070248,0.00007889901,0.00010045422,0.00092501205,0.00026702965,0.000024342593,0.00012956066,7.204787e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003407859,0.010955544,0.8841983,0.00012681884,0.000039989332,0.0000035761252,0.025047628,0.0000017903949,0.04376986,0.00066457456,0.0004033273,0.03444782],"study_design_scores_gemma":[0.0004887118,0.0018584123,0.95285314,0.00013695213,0.000100108504,6.924972e-8,0.00078099547,0.000008217713,0.042336203,0.0012791558,0.00006991066,0.00008814048],"about_ca_topic_score_codex":0.0013181515,"about_ca_topic_score_gemma":0.000055227396,"teacher_disagreement_score":0.068654835,"about_ca_system_score_codex":0.000015072551,"about_ca_system_score_gemma":0.00001858917,"threshold_uncertainty_score":0.34082454},"labels":[],"label_agreement":null},{"id":"W2076649305","doi":"10.1007/s11116-013-9476-3","title":"Examining the relationship between active travel, weather, and the built environment: a multilevel approach using a GPS-enhanced dataset","year":2013,"lang":"en","type":"article","venue":"Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":96,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Johnson and Johnson; McMaster University","keywords":"Walkability; Built environment; Geography; Pedestrian; Transport engineering; Global Positioning System; Travel behavior; Index (typography); Level design; Multilevel model; Environmental resource management; Environmental science; Computer science; Engineering; Civil engineering","score_opus":0.12592470186312196,"score_gpt":0.3168626294366194,"score_spread":0.19093792757349745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2076649305","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.968023,0.00007320178,0.029986255,0.0002631931,0.000024811916,0.00087068096,0.000304384,0.000022337828,0.00043215862],"genre_scores_gemma":[0.99815685,0.000014514063,0.0008154266,0.00004557664,0.00008413602,0.0000882729,0.000700787,0.00001078786,0.00008366506],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987217,0.0002411714,0.00026817236,0.0002701871,0.00029035495,0.0002083913],"domain_scores_gemma":[0.99887586,0.00069090485,0.00014391431,0.00020842275,0.000020778867,0.000060109072],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078822335,0.0001216943,0.00015383329,0.000026718426,0.0008447327,0.00007604074,0.00021141458,0.00008986337,0.00010642609],"category_scores_gemma":[0.00004807614,0.00007635926,0.000038904265,0.00013470347,0.0006466479,0.0006048952,0.0000030244723,0.00020309254,0.000008066625],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006653917,0.000059376325,0.8750862,0.000027370283,0.000048479145,4.0747165e-7,0.113937885,0.00011690797,0.00040022444,0.0022473275,0.000027565246,0.007981737],"study_design_scores_gemma":[0.0006705504,0.0000063146085,0.98703367,0.000010736435,0.00010511639,4.1748468e-8,0.008783715,0.0003526378,0.000090053785,0.0027600294,0.00008060548,0.000106544605],"about_ca_topic_score_codex":0.00881393,"about_ca_topic_score_gemma":0.00095224846,"teacher_disagreement_score":0.11194748,"about_ca_system_score_codex":0.000032343327,"about_ca_system_score_gemma":0.000040135368,"threshold_uncertainty_score":0.99778646},"labels":[],"label_agreement":null},{"id":"W2077041921","doi":"10.1016/s0001-4575(02)00047-7","title":"Changes in collision rates among novice drivers during the first months of driving","year":2002,"lang":"en","type":"article","venue":"Accident Analysis & Prevention","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":561,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Traffic Injury Research Foundation","funders":"","keywords":"Crash; Poison control; Injury prevention; Collision; Human factors and ergonomics; Suicide prevention; Demography; Occupational safety and health; Transport engineering; Psychology; Engineering; Aeronautics; Computer security; Forensic engineering; Medicine; Computer science; Medical emergency; Sociology","score_opus":0.013529754503606202,"score_gpt":0.2790604138346072,"score_spread":0.265530659331001,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077041921","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985515,0.00014233994,0.000078711135,0.00041806363,0.00004299329,0.0002503649,1.1103416e-7,0.000021947792,0.00049395685],"genre_scores_gemma":[0.9989186,0.00028366817,0.000020433406,0.000007916067,0.000043314223,0.000017785609,0.0000060552743,0.0000044267795,0.00069782836],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998725,0.00014021868,0.0003169817,0.00023426554,0.00038270687,0.0002008405],"domain_scores_gemma":[0.99934953,0.00008053326,0.00026518063,0.00021273893,0.000055237597,0.000036789475],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075946166,0.000089725625,0.00021457326,0.00026114463,0.00038789396,0.000081233506,0.00031791063,0.00006895427,0.0007274798],"category_scores_gemma":[0.00005758534,0.00007398882,0.00022230552,0.00178785,0.00011055168,0.0006218989,0.000034071945,0.00008777757,0.0000043353116],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003125075,0.000070695816,0.9925994,0.0000025327495,0.00009793239,0.0000014304835,0.0062930356,0.00034702415,0.00006996,0.000007785838,0.000008871026,0.0004981513],"study_design_scores_gemma":[0.00015561098,0.000007674262,0.9945758,0.000042420907,0.00031361746,1.18853185e-8,0.0030036534,0.0011201624,0.00059858186,0.00005412568,0.000047987636,0.00008035595],"about_ca_topic_score_codex":0.0097266445,"about_ca_topic_score_gemma":0.87960935,"teacher_disagreement_score":0.8698827,"about_ca_system_score_codex":0.00009914695,"about_ca_system_score_gemma":0.00000875714,"threshold_uncertainty_score":0.99686766},"labels":[],"label_agreement":null},{"id":"W2077210193","doi":"10.1007/s11116-010-9314-9","title":"Exploring the drivers of light rail ridership: an empirical route level analysis of selected Australian, North American and European systems","year":2010,"lang":"en","type":"article","venue":"Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":44,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Toronto; Monash University; University College Dublin","keywords":"Service (business); Transport engineering; Level of service; Empirical research; Regression analysis; Track (disk drive); Business; Demographic economics; Econometrics; Engineering; Marketing; Statistics; Economics; Mathematics","score_opus":0.1259446179112566,"score_gpt":0.3242179931514344,"score_spread":0.1982733752401778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077210193","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99915045,0.0000042767183,0.00014440785,0.00019994247,0.000087042616,0.00014301992,0.000082029685,0.000034122142,0.0001547195],"genre_scores_gemma":[0.99962777,0.000014681932,0.000093825736,0.0000059975605,0.000043165415,0.0000048428437,0.00012461137,0.0000074469713,0.00007768383],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988054,0.000164873,0.00035783276,0.00020769725,0.00030394047,0.00016028006],"domain_scores_gemma":[0.99924916,0.000057749352,0.0002367748,0.00017224827,0.0001892658,0.00009477324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049580727,0.00009103209,0.0002458007,0.00011978225,0.00015689681,0.000024185892,0.00019078616,0.000023339762,0.00002027535],"category_scores_gemma":[0.000019493824,0.00007182333,0.00007948015,0.0016718076,0.00038264503,0.00040966453,0.0000010613309,0.00014275522,4.395128e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001844547,0.000045311248,0.9642736,0.000016236521,0.00011358587,0.000001097475,0.03319026,0.00011335417,0.0012191852,0.000080002836,0.0000057445777,0.0009231993],"study_design_scores_gemma":[0.00010758279,0.00003316608,0.9936583,0.0000046317305,0.0004857228,1.4478642e-8,0.004928496,0.000047340538,0.0003825068,0.000002901382,0.0002666937,0.00008263021],"about_ca_topic_score_codex":0.0137193175,"about_ca_topic_score_gemma":0.28699473,"teacher_disagreement_score":0.2732754,"about_ca_system_score_codex":0.00001067369,"about_ca_system_score_gemma":0.00005417924,"threshold_uncertainty_score":0.9928484},"labels":[],"label_agreement":null},{"id":"W2077250416","doi":"10.4000/vertigo.11773","title":"Mobilité quotidienne et design urbain : la transposition du modèle Quartiers verts à Montréal","year":2012,"lang":"fr","type":"article","venue":"VertigO","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.027358330119943708,"score_gpt":0.2542119996215547,"score_spread":0.226853669501611,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077250416","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91025347,0.022215031,0.05183249,0.0064441836,0.0022148786,0.00064288784,0.00006294025,0.00017540612,0.006158732],"genre_scores_gemma":[0.9939126,0.0005348141,0.0020931999,0.00043994293,0.00054285367,0.000049713057,0.00002628019,0.00003536969,0.0023652213],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9964321,0.001171558,0.0004672876,0.00043638865,0.00047505318,0.0010175775],"domain_scores_gemma":[0.99860764,0.00033749294,0.00010881543,0.00033122598,0.00007882525,0.0005359988],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0018636176,0.0003179606,0.000348592,0.00006770227,0.00045947995,0.00008037363,0.0003101687,0.00037935725,0.0006619624],"category_scores_gemma":[0.000061124585,0.0003245454,0.00027809085,0.0005330452,0.0006738848,0.0017567197,0.00001579049,0.00033040933,0.00018625868],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048074144,0.0026138965,0.7756976,0.00019341914,0.0001454081,0.000037569083,0.09194011,0.0010700542,0.0013213082,0.10728778,0.00855303,0.01065909],"study_design_scores_gemma":[0.002630932,0.00060414843,0.7238448,0.0003504063,0.00071364007,0.000008664798,0.006678943,0.004660862,0.0046238,0.018502217,0.2356328,0.0017487266],"about_ca_topic_score_codex":0.007163665,"about_ca_topic_score_gemma":0.00245434,"teacher_disagreement_score":0.22707978,"about_ca_system_score_codex":0.000256215,"about_ca_system_score_gemma":0.00017430705,"threshold_uncertainty_score":0.99992067},"labels":[],"label_agreement":null},{"id":"W2077304659","doi":"10.3141/2076-09","title":"Social Context of Activity Scheduling","year":2008,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":57,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Canadian Natural Resources; University of Alberta","funders":"","keywords":"Computer science; Scheduling (production processes); Travel behavior; Operations research; Economics; Microeconomics; Operations management; Engineering","score_opus":0.19719281535274308,"score_gpt":0.44858896420655897,"score_spread":0.2513961488538159,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077304659","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9924902,0.00018180034,0.00053697644,0.0048642675,0.0003816711,0.0007260961,0.00004748838,0.000026463658,0.0007450358],"genre_scores_gemma":[0.99760354,0.0006456712,0.0005435889,0.00002806685,0.00038018287,0.000023901774,0.000006099852,0.00003242782,0.00073653425],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99017036,0.0019871206,0.0013182061,0.0003658264,0.0052233487,0.0009351222],"domain_scores_gemma":[0.9923971,0.0010471093,0.0006861042,0.00033621825,0.0051618414,0.0003716209],"candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0066955453,0.00020341847,0.0005753788,0.00071586977,0.0023320967,0.00006290994,0.0013744446,0.00027783075,0.00043776765],"category_scores_gemma":[0.00031776167,0.00016369666,0.00062560895,0.0026415354,0.003259032,0.0010502151,0.000005787416,0.0022348394,0.000010700848],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016312349,0.00052679493,0.9465702,0.0001850517,0.00013324784,0.000088350265,0.03312516,0.00009091976,0.0035018078,0.0054252134,0.001731919,0.0069901],"study_design_scores_gemma":[0.0011431102,0.00019853006,0.9773583,0.00013251859,0.000037529022,1.0288995e-7,0.0071865795,0.000015525453,0.002934775,0.0023357726,0.008498818,0.00015844568],"about_ca_topic_score_codex":0.053013425,"about_ca_topic_score_gemma":0.12613802,"teacher_disagreement_score":0.073124595,"about_ca_system_score_codex":0.00028974062,"about_ca_system_score_gemma":0.0021435593,"threshold_uncertainty_score":0.99945354},"labels":[],"label_agreement":null},{"id":"W2077817349","doi":"10.1111/j.1365-3016.2004.00580.x","title":"Residential mobility during pregnancy","year":2004,"lang":"en","type":"article","venue":"Paediatric and Perinatal Epidemiology","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":144,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; Dalhousie University","funders":"Health Canada; Dalhousie University","keywords":"Medicine; Pregnancy; Residence; Body mass index; Epidemiology; Population; Demography; Environmental health; Obstetrics","score_opus":0.03055058308721981,"score_gpt":0.3238852083544248,"score_spread":0.293334625267205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077817349","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9873692,0.007258779,0.0003201437,0.001836567,0.00033504653,0.00019131404,0.000013255051,0.00008944601,0.0025862989],"genre_scores_gemma":[0.9974504,0.0011822556,0.0004904926,0.00006412934,0.00046755304,0.000020472029,0.000004780976,0.0000061656024,0.00031373522],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99840003,0.0002813984,0.00035211613,0.00040547262,0.00010355125,0.00045740028],"domain_scores_gemma":[0.99909055,0.00042000113,0.000098656135,0.00016590185,0.00003633644,0.00018853373],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088540144,0.00011658868,0.0002886138,0.00005344868,0.0005390096,0.0000124851,0.00018031748,0.00018255498,0.00021538894],"category_scores_gemma":[0.0012827446,0.000106884785,0.00009288242,0.00019580583,0.0005592885,0.00024070188,0.000055771103,0.00019634835,0.000019233259],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027792634,0.000033889344,0.9849424,0.000076803895,0.0000071949703,0.000023306397,0.0012373131,0.000012152498,0.0000104423725,0.011244852,0.000013751088,0.0023701114],"study_design_scores_gemma":[0.0004213815,0.00003089461,0.96649265,0.000012237461,0.000014485222,0.0000030521674,0.00019250887,0.0000020203329,0.000019680467,0.031241806,0.0014303585,0.00013889477],"about_ca_topic_score_codex":0.006770462,"about_ca_topic_score_gemma":0.0017053842,"teacher_disagreement_score":0.019996954,"about_ca_system_score_codex":0.0000682441,"about_ca_system_score_gemma":0.0001142469,"threshold_uncertainty_score":0.99984354},"labels":[],"label_agreement":null},{"id":"W2078552701","doi":"10.1016/j.jtrangeo.2008.04.012","title":"Determinants of distance traveled with a focus on the elderly: a multilevel analysis in the Hamilton CMA, Canada","year":2008,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":197,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"McKnight Foundation","keywords":"Multilevel model; Transport engineering; Multilevel modelling; Mode (computer interface); Mode choice; Geography; Demography; Demographic economics; Engineering; Statistics; Computer science; Sociology; Mathematics; Economics; Public transport","score_opus":0.015490580246461464,"score_gpt":0.24769900557152455,"score_spread":0.23220842532506308,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2078552701","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982017,0.00017720171,0.00033280137,0.0005105854,0.000051763705,0.00020310552,0.000038654965,0.000003199789,0.00048098018],"genre_scores_gemma":[0.99963695,0.00012463523,0.00007835774,0.00008938845,0.000038881306,0.0000052731284,0.0000014441789,0.000005955019,0.000019137293],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99770516,0.00014476973,0.0006514995,0.00015723135,0.0010541519,0.00028717023],"domain_scores_gemma":[0.9987907,0.00021988564,0.00048801713,0.00024434816,0.0001714968,0.00008560035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010015059,0.00014800196,0.00044873857,0.00023922716,0.00030735342,0.00001172509,0.0006680681,0.00005720024,0.000043189837],"category_scores_gemma":[0.000012326273,0.00007397169,0.00041600503,0.0016711922,0.00045431222,0.00015063012,0.0000010946405,0.00032118027,6.595192e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021629833,0.00017786123,0.99021506,0.000008556375,0.00014721011,0.0002460289,0.007813682,0.000053582415,0.00000397279,0.000032289725,0.000020577649,0.0010649022],"study_design_scores_gemma":[0.00044944938,0.00016588233,0.99645185,0.000053512893,0.00028853078,0.0000027376075,0.0015688599,0.000011783995,0.00008891483,0.00012916928,0.0006877587,0.00010154412],"about_ca_topic_score_codex":0.357782,"about_ca_topic_score_gemma":0.96312433,"teacher_disagreement_score":0.6053423,"about_ca_system_score_codex":0.000034769444,"about_ca_system_score_gemma":0.0005348159,"threshold_uncertainty_score":0.64649457},"labels":[],"label_agreement":null},{"id":"W2078688856","doi":"10.3390/ijerph110201233","title":"Relating Built Environment to Physical Activity: Two Failures to Validate","year":2014,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"Canadian Institutes of Health Research","keywords":"Scale (ratio); Built environment; Test (biology); Physical activity; Similarity (geometry); Computer science; Applied psychology; Psychology; Engineering; Artificial intelligence; Medicine; Geography; Physical medicine and rehabilitation; Cartography; Ecology; Civil engineering","score_opus":0.10101762776855841,"score_gpt":0.44480275204732733,"score_spread":0.34378512427876895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2078688856","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93948776,0.00004032239,0.0012961082,0.05769057,0.00012816995,0.00017276144,0.000018285858,0.000005084633,0.001160917],"genre_scores_gemma":[0.997747,0.000119384065,0.0005163343,0.00053086225,0.000751873,0.000005296477,0.0000027855708,0.000008363278,0.00031806988],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9968098,0.00047929876,0.00025317806,0.0002149732,0.0017639834,0.0004787791],"domain_scores_gemma":[0.9983837,0.00030324818,0.00012598292,0.00011112436,0.000048816255,0.0010271472],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040292875,0.000084470885,0.00016831387,0.0002414823,0.00035962515,0.00020559235,0.00048564957,0.000030706462,0.00027200388],"category_scores_gemma":[0.00035991918,0.00007455913,0.00005526479,0.00011041355,0.00023323372,0.0004788463,0.00015034348,0.00037730832,0.000051461822],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000195863,0.0017234909,0.2594196,0.000010788472,0.00008553753,0.000019993116,0.012644311,0.000056456778,0.0049644094,0.0042297267,0.0011358322,0.715514],"study_design_scores_gemma":[0.0007649162,0.0010475193,0.54529905,0.000053133,0.0000030122494,0.000005007017,0.002562336,0.00007799847,0.00041719293,0.0044547305,0.4451355,0.00017960224],"about_ca_topic_score_codex":0.0015664195,"about_ca_topic_score_gemma":0.00036103162,"teacher_disagreement_score":0.7153344,"about_ca_system_score_codex":0.000559778,"about_ca_system_score_gemma":0.00020256375,"threshold_uncertainty_score":0.3040433},"labels":[],"label_agreement":null},{"id":"W2079727079","doi":"10.3141/2322-03","title":"Integrating Walkability into Planning Practice","year":2012,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"University of Pennsylvania","keywords":"Walkability; Walk-in; Computer science; Built environment; Psychology; Medicine; Engineering","score_opus":0.14259022282870806,"score_gpt":0.48218943120106594,"score_spread":0.3395992083723579,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2079727079","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9844419,0.0008731737,0.001755118,0.0078033796,0.0011515169,0.0009720878,0.000016725648,0.000050360468,0.0029357576],"genre_scores_gemma":[0.9926748,0.0003211815,0.0054135327,0.000097123324,0.00084778335,0.00004982107,0.000010368485,0.000040877196,0.00054448965],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9867323,0.0041000876,0.0016403045,0.00040243595,0.0056006424,0.0015242182],"domain_scores_gemma":[0.9888763,0.003567719,0.00066647655,0.0005261101,0.0055414313,0.0008220067],"candidate_categories":["sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.02392052,0.00025220832,0.00046249156,0.00068514905,0.0024065094,0.000247727,0.0015379381,0.0002915005,0.00058648665],"category_scores_gemma":[0.0023488475,0.00018935563,0.0004585535,0.002956449,0.0017296189,0.0034787816,0.000008948017,0.0034569008,0.000030212319],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007602512,0.0004502479,0.9211742,0.00012880228,0.000085965185,0.000031541265,0.060209323,0.000064848784,0.00061655353,0.007644527,0.0022345467,0.0065991776],"study_design_scores_gemma":[0.0006000157,0.00018208398,0.85575116,0.00025337428,0.000062519226,1.2988602e-7,0.039512917,0.000008946265,0.00044317936,0.0048869066,0.09810437,0.00019440625],"about_ca_topic_score_codex":0.07660877,"about_ca_topic_score_gemma":0.10010488,"teacher_disagreement_score":0.095869824,"about_ca_system_score_codex":0.0006277826,"about_ca_system_score_gemma":0.00133242,"threshold_uncertainty_score":0.99889225},"labels":[],"label_agreement":null},{"id":"W2079728765","doi":"10.1123/jpah.2014-0103","title":"Active Commuting to School in Mexican Adolescents: Evidence From the Mexican National Nutrition and Health Survey","year":2014,"lang":"en","type":"article","venue":"Journal of Physical Activity and Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"San Diego State University","keywords":"Overweight; Socioeconomic status; Obesity; Psychological intervention; Confounding; Demography; Medicine; National Health and Nutrition Examination Survey; Odds; Environmental health; Gerontology; Multivariate analysis; Screen time; Adolescent health; Logistic regression; Population","score_opus":0.1228322404830333,"score_gpt":0.4271543642670572,"score_spread":0.3043221237840239,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2079728765","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9594318,0.00014530822,0.00025945625,0.039852798,0.000045774985,0.00020715619,0.000026561633,0.000004312358,0.00002681567],"genre_scores_gemma":[0.9978145,0.00020254441,0.0000638566,0.0013320736,0.0005783879,0.0000019111908,0.0000017935952,0.0000031780994,0.0000017840434],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979928,0.0009779412,0.00022537123,0.00014926746,0.00044091183,0.00021371637],"domain_scores_gemma":[0.99843025,0.0007274673,0.00032614724,0.00006249754,0.00012723662,0.00032642356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043403637,0.000076782264,0.00030496283,0.00004108182,0.0004949867,0.000062762185,0.00015057626,0.000031048647,0.000004337393],"category_scores_gemma":[0.00040167331,0.000056178254,0.000041016894,0.00022310403,0.00013789596,0.00054162095,0.00002445836,0.0004554189,5.594737e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002011409,0.0006979843,0.9421731,0.0000543324,0.000009739806,2.772729e-7,0.008468529,0.0000041348376,0.00008503619,0.00036044657,0.00035068335,0.047594562],"study_design_scores_gemma":[0.0003129313,0.00019560078,0.9952971,0.0005951562,0.000002698091,1.5222864e-7,0.000590783,0.000084397856,0.00002930217,0.0027125622,0.00012563354,0.00005372933],"about_ca_topic_score_codex":0.073461436,"about_ca_topic_score_gemma":0.120155714,"teacher_disagreement_score":0.05312392,"about_ca_system_score_codex":0.0002894729,"about_ca_system_score_gemma":0.00062686077,"threshold_uncertainty_score":0.93270844},"labels":[],"label_agreement":null},{"id":"W2080741376","doi":"10.1080/0164212x.2012.679533","title":"The Role for Occupational Therapists in Community Mobility Training for People With Autism Spectrum Disorders","year":2012,"lang":"en","type":"article","venue":"Occupational Therapy in Mental Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"New York Institute of Technology","funders":"","keywords":"Autism; Psychology; Training (meteorology); Occupational therapy; Independence (probability theory); Psychiatry; Clinical psychology","score_opus":0.060471646926020924,"score_gpt":0.3920581536667613,"score_spread":0.33158650674074036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2080741376","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9897185,0.0006723609,0.0005792518,0.0060576643,0.00020426781,0.0022688953,0.00019395012,0.000024505316,0.00028060313],"genre_scores_gemma":[0.9977346,0.00019501233,0.000761178,0.00034442078,0.00009643566,0.0005687029,0.0002498766,0.000012393998,0.00003739238],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981651,0.0004394201,0.00034466523,0.00016726265,0.00032078722,0.0005628104],"domain_scores_gemma":[0.9987753,0.0008003886,0.00014306055,0.00015903334,0.000018861645,0.00010334591],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0038801974,0.0001278966,0.00018819398,0.000052955384,0.0017688775,0.00003869231,0.00025280108,0.0000588262,0.00004198852],"category_scores_gemma":[0.0000236144,0.00009590986,0.000067742745,0.0002664963,0.00021604386,0.0003425795,0.000007687953,0.0001986767,6.21594e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014114942,0.0006043258,0.9222729,0.00001572038,0.000009320842,6.7468924e-9,0.046082612,0.000011483069,0.0000026706873,0.016628023,0.000026466365,0.012934947],"study_design_scores_gemma":[0.0013924829,0.00021808431,0.9516257,0.000018150839,8.070041e-7,6.917799e-8,0.008819649,0.00011189049,0.0000060776583,0.031042421,0.0066539496,0.00011069236],"about_ca_topic_score_codex":0.010743907,"about_ca_topic_score_gemma":0.2551628,"teacher_disagreement_score":0.24441889,"about_ca_system_score_codex":0.0004689239,"about_ca_system_score_gemma":0.0006604589,"threshold_uncertainty_score":0.9995307},"labels":[],"label_agreement":null},{"id":"W2080812364","doi":"10.1016/j.jth.2014.06.001","title":"“I grew up on a bike”: Cycling and older adults","year":2014,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":65,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; British Columbia Centre of Excellence for Women's Health; Simon Fraser University","funders":"Centre for Hip Health and Mobility; Michael Smith Health Research BC","keywords":"Cycling; Gerontology; Population; TRIPS architecture; Population ageing; Injury prevention; Psychology; Poison control; Geography; Demography; Medicine; Environmental health; Transport engineering; Engineering; Sociology","score_opus":0.019401130694690218,"score_gpt":0.32534576013379984,"score_spread":0.3059446294391096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2080812364","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99095815,0.0006364601,0.0007493056,0.0055708024,0.0006614626,0.00016807175,0.0000049264117,0.000022104929,0.0012287012],"genre_scores_gemma":[0.99715453,0.00058521016,0.0003861874,0.0011705727,0.00054227817,9.0504193e-7,0.000002006724,0.0000111343215,0.00014716267],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99813056,0.00012829714,0.00067933684,0.00018384698,0.0005253135,0.00035266625],"domain_scores_gemma":[0.99880797,0.00009318683,0.00042736458,0.00011942727,0.000116340176,0.00043572576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024024777,0.00011953672,0.00038483707,0.00011059264,0.00037628584,0.000023939683,0.00019955194,0.00008737592,0.0000976966],"category_scores_gemma":[0.00003358787,0.000096234086,0.0001400266,0.00017711212,0.00013579255,0.00027665275,0.0000019556576,0.0003606536,0.0000029821624],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037591322,0.000268185,0.87729436,0.00026574032,0.000028091357,0.000022063361,0.031989582,0.000009324041,0.000009974911,0.0011761972,0.00045797526,0.08810262],"study_design_scores_gemma":[0.0012124683,0.00033422324,0.9773584,0.0005529541,0.000025230607,0.0000029453379,0.0011885727,0.000008800638,0.000020786681,0.0007421249,0.018418329,0.00013514617],"about_ca_topic_score_codex":0.001568246,"about_ca_topic_score_gemma":0.0042003826,"teacher_disagreement_score":0.100064084,"about_ca_system_score_codex":0.00006757105,"about_ca_system_score_gemma":0.0004051222,"threshold_uncertainty_score":0.39243123},"labels":[],"label_agreement":null},{"id":"W2081618495","doi":"10.1016/j.apgeog.2011.06.017","title":"Critical distances: Comparing measures of spatial accessibility in the riverine landscapes of Peruvian Amazonia","year":2011,"lang":"en","type":"article","venue":"Applied Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":68,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Amazon rainforest; Geography; Cartography; Physical geography; Ecology; Biology","score_opus":0.04602243554179358,"score_gpt":0.29122239921056975,"score_spread":0.24519996366877617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081618495","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95421386,0.00013751788,0.0003802554,0.00003816605,0.00005782859,0.00025135148,0.000012678206,0.00002154777,0.044886824],"genre_scores_gemma":[0.9996395,0.000016219461,0.00025079778,0.000017964474,0.00004292805,0.000023052586,0.000004349709,0.000004183979,0.0000010201763],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985802,0.00010609199,0.00038386448,0.00024551773,0.00043041652,0.00025390743],"domain_scores_gemma":[0.99932104,0.00014638537,0.00010993398,0.0002832316,0.00008633068,0.00005306063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009955596,0.00010706132,0.00028290093,0.00008933608,0.00014308654,0.000020899633,0.00059593556,0.00006920723,0.00015342722],"category_scores_gemma":[0.000039657803,0.00007744195,0.000125357,0.0004034747,0.0009666804,0.00014032488,0.000026501584,0.00014166579,9.3588187e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009946549,0.00028507807,0.9764466,0.00005275337,0.000011956801,9.2241936e-7,0.013380718,4.559955e-7,0.00007340308,0.0077273855,0.0000030574133,0.00191816],"study_design_scores_gemma":[0.00022981681,0.000020323792,0.9835326,0.000015647596,0.00002505483,2.2414277e-8,0.0028407718,0.000004706895,0.00053575815,0.012548441,0.0001582952,0.0000885801],"about_ca_topic_score_codex":0.0140955085,"about_ca_topic_score_gemma":0.052491136,"teacher_disagreement_score":0.045425653,"about_ca_system_score_codex":0.000007330925,"about_ca_system_score_gemma":0.000038847134,"threshold_uncertainty_score":0.9924697},"labels":[],"label_agreement":null},{"id":"W2081669080","doi":"10.1080/13549839.2012.714752","title":"Examining municipal response to a provincial climate action planning mandate in British Columbia, Canada","year":2012,"lang":"en","type":"article","venue":"Local Environment","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia; Vancouver Community College","funders":"","keywords":"Mandate; Legislation; Legislature; Descriptive statistics; Public administration; Political science; Order (exchange); Action plan; Business; Economics; Management","score_opus":0.03046516785684248,"score_gpt":0.2683301402464256,"score_spread":0.23786497238958312,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081669080","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99861324,0.000062185085,0.00015153739,0.00010253503,0.00019845365,0.00026250532,0.000022691544,0.000018594292,0.00056826824],"genre_scores_gemma":[0.99896115,0.000009537615,0.00008333089,0.00018063743,0.00012612843,0.000037457936,0.0000080968075,0.000008899939,0.0005847527],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985014,0.0001839405,0.00020704494,0.00020667019,0.000358019,0.0005428951],"domain_scores_gemma":[0.9995517,0.00005867079,0.000043229884,0.0001165508,0.0000027078672,0.00022712997],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010534378,0.00006338545,0.00012419529,0.000017212635,0.0003013671,0.00007180265,0.00013148623,0.00006509006,0.0003809896],"category_scores_gemma":[0.00003241643,0.00010377107,0.000018156725,0.000085631524,0.000100517274,0.00022256469,0.00004573836,0.00013245302,0.0000118041735],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000108921384,0.00007281039,0.97931015,0.0000075094977,0.0000027625044,0.000034748522,0.005135921,0.00028545485,0.000096784854,0.000001158206,0.00009922376,0.014844537],"study_design_scores_gemma":[0.0002191437,0.000030322171,0.94763273,0.000026694857,0.000005682584,4.185803e-7,0.0063169743,0.000030713905,0.00002159937,0.0000047647,0.045580167,0.00013078489],"about_ca_topic_score_codex":0.9669445,"about_ca_topic_score_gemma":0.9975494,"teacher_disagreement_score":0.045480944,"about_ca_system_score_codex":0.0008756232,"about_ca_system_score_gemma":0.00013957883,"threshold_uncertainty_score":0.42316613},"labels":[],"label_agreement":null},{"id":"W2081787695","doi":"10.5993/ajhb.36.6.4","title":"Neighborhood Environment Profiles for Physical Activity Among Older Adults","year":2012,"lang":"en","type":"article","venue":"American Journal of Health Behavior","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Heart, Lung, and Blood Institute","keywords":"Walkability; Level design; Physical activity; Gerontology; Demography; Built environment; Multivariate statistics; Multivariate analysis; Analysis of covariance; Psychology; Medicine; Environmental health; Physical therapy; Statistics","score_opus":0.023419425214859946,"score_gpt":0.3493958512460221,"score_spread":0.32597642603116217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081787695","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99707514,0.0001548931,0.00072842464,0.0011507914,0.00025768543,0.0005638841,0.000016913678,0.000012825106,0.00003943023],"genre_scores_gemma":[0.9984911,0.000033253018,0.0006081985,0.00010292286,0.0006675371,0.000047250665,0.0000017902137,0.000013572012,0.00003434135],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99835914,0.00022151838,0.0003283414,0.0001355225,0.0004154497,0.000540046],"domain_scores_gemma":[0.9984727,0.000099378005,0.0008196958,0.00012355049,0.00005994047,0.00042474648],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010083481,0.000116198484,0.00039458007,0.00004833856,0.00033668085,0.000018417835,0.00019691273,0.00003116224,0.00006505891],"category_scores_gemma":[0.000024912824,0.00009536446,0.0001904924,0.0001198209,0.0004863451,0.0005333916,0.000010288475,0.00020972289,0.0000033501108],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057633115,0.0011051872,0.74709415,0.000012780218,0.000006395526,7.0278253e-7,0.0069654994,1.8193991e-7,0.00001592339,0.000026041596,0.00008389665,0.2446316],"study_design_scores_gemma":[0.00035053352,0.00049115624,0.99441475,0.00003059606,0.000047941583,8.58712e-7,0.0035298627,0.0000019973215,0.000109912966,0.000012522657,0.00090543926,0.00010444084],"about_ca_topic_score_codex":0.0010672781,"about_ca_topic_score_gemma":0.00006188872,"teacher_disagreement_score":0.24732059,"about_ca_system_score_codex":0.0001987763,"about_ca_system_score_gemma":0.0002543972,"threshold_uncertainty_score":0.388885},"labels":[],"label_agreement":null},{"id":"W2082338038","doi":"10.1007/s11556-011-0084-y","title":"Family structure, time constraints, and sport participation","year":2011,"lang":"en","type":"article","venue":"European Review of Aging and Physical Activity","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":97,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Sports medicine; Behavioural sciences; Psychology; Sociology; Social science","score_opus":0.0401557198446176,"score_gpt":0.3102205253976652,"score_spread":0.2700648055530476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082338038","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97326046,0.0013358473,0.000015514957,0.000049739727,0.00001931356,0.000107194894,0.000009578527,0.000022346643,0.025180023],"genre_scores_gemma":[0.99864805,0.0011025773,0.00006089023,0.00007582651,0.000066215296,5.171821e-7,0.000002492863,0.000004513448,0.00003894826],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99937147,0.00015353697,0.00009768878,0.00015890456,0.00011187899,0.000106495754],"domain_scores_gemma":[0.9996834,0.000027801329,0.00009111382,0.00009049727,0.000030135297,0.00007706621],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004011179,0.00007094954,0.00020255525,0.00000891395,0.00009859431,0.00001000767,0.00006234521,0.000009805535,0.000055348963],"category_scores_gemma":[0.00002348975,0.00005649834,0.000038065064,0.00007522369,0.00042615295,0.00015981038,0.00001807897,0.000078505174,0.000004528298],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001832194,0.00039415716,0.2949851,0.0022665523,0.00003901787,0.000009965688,0.0071137864,4.4828827e-8,0.0019172719,0.0026655332,0.00013917859,0.6904511],"study_design_scores_gemma":[0.0000577788,0.000018309962,0.99773574,0.00048450625,0.000045027846,1.1925735e-7,0.0000212588,0.0000043826094,0.0003640828,0.00035754204,0.0008326288,0.00007865175],"about_ca_topic_score_codex":0.00024788277,"about_ca_topic_score_gemma":0.000006631495,"teacher_disagreement_score":0.7027506,"about_ca_system_score_codex":0.0000040535065,"about_ca_system_score_gemma":0.000016839978,"threshold_uncertainty_score":0.23039353},"labels":[],"label_agreement":null},{"id":"W2082633923","doi":"10.1145/2783258.2788570","title":"Predicting Ambulance Demand","year":2015,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Kernel density estimation; Computer science; Software deployment; Exploit; Kernel (algebra); Task (project management); Temporal scales; Data mining; Scale (ratio); Data science; Geography; Statistics; Cartography; Engineering","score_opus":0.04989676475018896,"score_gpt":0.3241491367418772,"score_spread":0.2742523719916882,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082633923","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.67466754,0.00006323976,0.000462795,0.00037902748,0.0001269259,0.000041639552,4.2503544e-7,0.000088404406,0.32417002],"genre_scores_gemma":[0.993592,0.0000023786517,0.00033431855,0.0001009916,0.00021466883,0.0000016873776,7.9026705e-7,0.0000018103115,0.0057513574],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99950886,0.00002612822,0.000069893955,0.000089542016,0.00017595185,0.00012962299],"domain_scores_gemma":[0.999739,0.000017425085,0.00001752299,0.000066380126,0.000045558438,0.00011412638],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050109247,0.00002792549,0.000046032354,0.000008432071,0.00012080297,0.000031120213,0.00010421091,0.000028689294,0.00018033676],"category_scores_gemma":[0.00007642344,0.00002304024,0.000015617783,0.00009302918,0.00008105237,0.00019348983,0.000006312151,0.00003540328,0.000035914443],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000022919962,0.000009100857,0.99357826,0.0000010303092,0.0000012121576,9.4618036e-7,0.0027284122,0.000001504073,0.0000039680076,0.0021947438,0.0010967308,0.00038181836],"study_design_scores_gemma":[0.0004851105,0.00002788508,0.84820944,0.000011699838,0.000012708257,1.360928e-7,0.0081858765,0.00017896721,0.0003057829,0.013123379,0.12925144,0.00020759307],"about_ca_topic_score_codex":0.0034515706,"about_ca_topic_score_gemma":0.0075091957,"teacher_disagreement_score":0.3189245,"about_ca_system_score_codex":0.000021229414,"about_ca_system_score_gemma":0.00011627407,"threshold_uncertainty_score":0.52177656},"labels":[],"label_agreement":null},{"id":"W2083178764","doi":"10.1016/j.trd.2007.07.005","title":"Extent and correlates of walking in the USA","year":2007,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":125,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"TRIPS architecture; Recreation; Mile; Demography; Geography; Travel behavior; Quarter (Canadian coin); Population; Demographic economics; Transport engineering; Economics; Engineering; Sociology; Political science","score_opus":0.06375897066841953,"score_gpt":0.35391457204312915,"score_spread":0.29015560137470964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083178764","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968794,0.0005243716,0.00027675787,0.00038980664,0.000033128355,0.00047275025,0.0000136925155,0.000008166412,0.0014019045],"genre_scores_gemma":[0.997544,0.0020959396,0.000095895484,0.000023272183,0.000033886332,0.00002374662,0.000030580395,0.0000068733743,0.00014580962],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99792945,0.000107993306,0.00043880174,0.00028370277,0.00081247935,0.00042759252],"domain_scores_gemma":[0.99939656,0.00025814498,0.000053374584,0.00014482367,0.000023234239,0.00012386355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045911367,0.00010493238,0.00016522879,0.00011672884,0.00032503644,0.000014740531,0.00015987437,0.00009312156,0.00029989646],"category_scores_gemma":[0.0000065574873,0.000082160455,0.00004502745,0.00025061346,0.0009818332,0.00018697012,0.0000018954779,0.00028405932,0.000003040409],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006475352,0.00012589643,0.96779704,0.00003917627,0.000007133662,0.000030082685,0.024351673,0.000013234575,0.00010145156,0.0031741553,0.000004795561,0.004290588],"study_design_scores_gemma":[0.00032353887,0.000049524668,0.9855394,0.00003188667,0.00001646637,1.17779244e-7,0.005813625,0.0000028037325,0.00009081011,0.0010775352,0.0069658756,0.000088458626],"about_ca_topic_score_codex":0.004536273,"about_ca_topic_score_gemma":0.057658978,"teacher_disagreement_score":0.053122703,"about_ca_system_score_codex":0.000026386095,"about_ca_system_score_gemma":0.000032404445,"threshold_uncertainty_score":0.9595363},"labels":[],"label_agreement":null},{"id":"W2083199875","doi":"10.1016/j.jsams.2008.09.002","title":"Exploring associations between urban environments and children's physical activity: Making the case for space syntax","year":2008,"lang":"en","type":"editorial","venue":"Journal of science and medicine in sport","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Space syntax; Physical space; Syntax; Space (punctuation); Physical activity; Psychology; Linguistics; Computer science; Geography; Medicine; Artificial intelligence; Cartography; Physical therapy; Philosophy","score_opus":0.06269352058190901,"score_gpt":0.3541848381817476,"score_spread":0.2914913175998386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083199875","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9516383,0.00022471727,0.000017007556,0.0012933387,0.04641647,0.00025645448,0.000023793918,0.0000035515122,0.00012640678],"genre_scores_gemma":[0.7861486,0.00070947356,0.000024383558,0.000011640212,0.21302812,0.0000051351817,0.0000024511871,0.000006418189,0.00006375395],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997576,0.000031078136,0.0003432663,0.00027536476,0.0014457154,0.00032856304],"domain_scores_gemma":[0.99825525,0.0006382976,0.0006664892,0.000116630275,0.00015297031,0.00017037816],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0042526196,0.00014905588,0.00052042276,0.00021168399,0.001059924,0.000052547417,0.0003434311,0.00012144701,0.0000018261197],"category_scores_gemma":[0.0012438613,0.00009707876,0.000062026855,0.0004213496,0.0027247984,0.0010116904,0.000038692924,0.00066109636,9.704188e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004942141,0.00015770749,0.874481,0.000031250383,0.000059798942,0.00041382152,0.03609894,0.000001439245,0.000031407275,0.00008377787,0.07802,0.010571436],"study_design_scores_gemma":[0.0008606921,0.00021919326,0.8685422,0.00040183528,0.00029379342,0.000029849618,0.005473063,0.0000048169945,0.000020413241,0.00023301288,0.1236725,0.0002486096],"about_ca_topic_score_codex":0.0015178006,"about_ca_topic_score_gemma":0.0002830873,"teacher_disagreement_score":0.16661166,"about_ca_system_score_codex":0.00022285941,"about_ca_system_score_gemma":0.00074712216,"threshold_uncertainty_score":0.9999892},"labels":[],"label_agreement":null},{"id":"W2084111936","doi":"10.1016/j.healthplace.2011.09.019","title":"How far do children travel from their homes? Exploring children's activity spaces in their neighborhood","year":2011,"lang":"en","type":"article","venue":"Health & Place","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":169,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Medical Research Council; National Health and Medical Research Council; Canadian Institutes of Health Research","keywords":"Pedometer; Destinations; Geography; Physical activity; Psychology; Poison control; Injury prevention; Demography; Sociology; Medicine; Environmental health; Physical medicine and rehabilitation; Tourism","score_opus":0.0655860528161729,"score_gpt":0.27716663111700063,"score_spread":0.21158057830082772,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084111936","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9925292,0.0015795475,0.00024325486,0.0026029758,0.0003167102,0.00073464855,0.00017789255,0.00014019318,0.0016755785],"genre_scores_gemma":[0.99805164,0.0009817474,0.00015888066,0.00022725241,0.00038602063,0.000047063,0.000031854386,0.00002683173,0.00008871563],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99749804,0.00038516123,0.00028534862,0.0006493884,0.00033899312,0.0008430526],"domain_scores_gemma":[0.99877924,0.00015421383,0.00024922544,0.00043068075,0.000033155593,0.00035346724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095634884,0.00029085993,0.0004870104,0.000109487264,0.0005599299,0.00015728635,0.00055198313,0.00016529058,0.00017421486],"category_scores_gemma":[0.00005140689,0.00024168807,0.00012293879,0.0004530279,0.00020016811,0.0011160952,0.000043533375,0.00049130083,0.000011383522],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000067174224,0.00023140061,0.9204464,0.000012115659,0.00002430873,0.0000016772381,0.052575964,4.9792885e-7,0.000013947614,0.00042411947,0.00006255637,0.026139833],"study_design_scores_gemma":[0.0005059422,0.000054970307,0.99048305,0.00005743018,0.000006265818,2.8377195e-7,0.00665144,0.000006631303,0.00036609746,0.0011757339,0.00042868048,0.0002635009],"about_ca_topic_score_codex":0.05551351,"about_ca_topic_score_gemma":0.031312466,"teacher_disagreement_score":0.07003662,"about_ca_system_score_codex":0.00021470718,"about_ca_system_score_gemma":0.00046321945,"threshold_uncertainty_score":0.98636353},"labels":[],"label_agreement":null},{"id":"W2084276811","doi":"10.1016/j.iatssr.2014.12.002","title":"Walking to school in Scotland: Do perceptions of neighbourhood quality matter?","year":2015,"lang":"en","type":"article","venue":"IATSS Research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":60,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Neighbourhood (mathematics); Perception; Affect (linguistics); Human factors and ergonomics; Psychology; Geography; Poison control; Attrition; Built environment; Injury prevention; Transport engineering; Demographic economics; Social psychology; Environmental health; Engineering; Medicine; Economics; Mathematics","score_opus":0.17667068056176302,"score_gpt":0.5034775632039488,"score_spread":0.3268068826421857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084276811","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9370425,0.000060634135,0.000049308142,0.0017335697,0.00007466009,0.00031661798,0.000010482018,0.000018265013,0.06069401],"genre_scores_gemma":[0.9985055,0.000007728957,0.00021767162,0.000046301597,0.00016972065,0.000025335778,0.0000038066719,0.0000071288723,0.0010168615],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969495,0.0008260222,0.00031283102,0.00027390826,0.0011338339,0.00050392223],"domain_scores_gemma":[0.9987312,0.00016571887,0.0000314928,0.0003044143,0.0003496416,0.00041751252],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006830832,0.00006445747,0.00018166604,0.00026650165,0.00019550743,0.00011321245,0.0005056269,0.00008948727,0.0022640156],"category_scores_gemma":[0.00078877865,0.000060116836,0.000050113198,0.0010589388,0.00027771655,0.00025762458,0.00008344621,0.0003504479,0.0004556228],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038513714,0.00010944749,0.98198754,0.00001742029,0.000002700092,0.000004388691,0.014051409,0.0000039559654,0.00028782838,0.0006042072,0.0012558126,0.001636774],"study_design_scores_gemma":[0.00023708925,0.000028252089,0.9801116,0.000037920647,0.0000011890762,4.0298392e-8,0.012424094,0.0000015266604,0.000050997613,0.006125555,0.0009063824,0.00007537411],"about_ca_topic_score_codex":0.045912474,"about_ca_topic_score_gemma":0.04004486,"teacher_disagreement_score":0.06146299,"about_ca_system_score_codex":0.00026216757,"about_ca_system_score_gemma":0.00051815377,"threshold_uncertainty_score":0.99864805},"labels":[],"label_agreement":null},{"id":"W2084464213","doi":"10.1111/j.1468-2257.2006.00314.x","title":"Urban Form and Household Activity‐Travel Behavior","year":2006,"lang":"en","type":"article","venue":"Growth and Change","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":172,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; University of Toronto","funders":"","keywords":"Metropolitan area; Urban sprawl; Travel behavior; Geography; Land use; Traffic congestion; Spatial mismatch; Urban planning; Economic geography; Environmental planning; Transport engineering; Business; Economic growth; Economics; Ecology","score_opus":0.04785418445309918,"score_gpt":0.2660866543862211,"score_spread":0.2182324699331219,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084464213","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9917942,0.0004387861,0.00001187805,0.00037792197,0.00007635067,0.00019922516,0.000029441715,0.000046480414,0.00702568],"genre_scores_gemma":[0.99889034,0.00007680641,0.0000178124,0.00008625625,0.00045067118,0.000036475867,0.0000054175794,0.000006254728,0.00042996052],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993924,0.000014218634,0.00006748612,0.00017250152,0.0001276679,0.00022575358],"domain_scores_gemma":[0.9997888,0.000014563419,0.000028921795,0.000061795814,0.000012070477,0.00009384258],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010687893,0.00007627811,0.00009731173,0.00003170474,0.0002928895,0.00005783657,0.00006107251,0.00007608916,0.00002082788],"category_scores_gemma":[0.0000035844523,0.00006939816,0.000024131163,0.00009269146,0.00017680723,0.00032980723,0.000012544996,0.000064227665,9.0504585e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006810635,0.0000620469,0.9908137,0.000018060762,0.0000014809038,0.0000053472845,0.00270263,2.833445e-10,0.0002974448,0.0018681348,0.00028412323,0.003940252],"study_design_scores_gemma":[0.00017281069,0.000021631377,0.99714535,0.0000047150857,0.0000198788,2.7721177e-7,0.00021881063,5.798498e-7,0.00044730416,0.00076147413,0.0011066592,0.000100505116],"about_ca_topic_score_codex":0.014996298,"about_ca_topic_score_gemma":0.008037909,"teacher_disagreement_score":0.007096109,"about_ca_system_score_codex":0.000010291024,"about_ca_system_score_gemma":0.00001336974,"threshold_uncertainty_score":0.9915629},"labels":[],"label_agreement":null},{"id":"W2084616817","doi":"10.4000/vertigo.11769","title":"Où en sommes-nous dans la conception d’indicateurs de développement durable en transport ?","year":2012,"lang":"fr","type":"article","venue":"VertigO","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.016813159275911697,"score_gpt":0.2929357492651274,"score_spread":0.2761225899892157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084616817","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9700357,0.0027722195,0.0031603605,0.0055254474,0.0013893472,0.00034520484,0.00004781641,0.00012038182,0.016603567],"genre_scores_gemma":[0.99038285,0.001120422,0.00081742037,0.00027862893,0.0009230645,0.00003432182,0.000046909558,0.000029739851,0.006366663],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99702525,0.00047578724,0.0004437905,0.00036222258,0.000493625,0.0011993124],"domain_scores_gemma":[0.99892205,0.00014681045,0.00013246953,0.00025751206,0.00003735274,0.0005038119],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0016458802,0.0002661441,0.00030140238,0.000053941134,0.00041083992,0.000042439733,0.00044847015,0.00039343475,0.001718127],"category_scores_gemma":[0.000036245372,0.00027179625,0.00020731293,0.0003982482,0.0007044956,0.00084693235,0.000018773357,0.0003582145,0.00029882186],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000265485,0.00052956067,0.8919935,0.00007227999,0.00005085175,0.00001852959,0.09532554,0.000013134972,0.0009103259,0.0063892934,0.0011757921,0.0034946313],"study_design_scores_gemma":[0.00047006935,0.00004442466,0.8457257,0.000066195964,0.00016765938,0.0000027861242,0.0066638,0.000015235781,0.0018632798,0.0009143234,0.14374448,0.00032200367],"about_ca_topic_score_codex":0.0026802986,"about_ca_topic_score_gemma":0.0016172801,"teacher_disagreement_score":0.1425687,"about_ca_system_score_codex":0.0007105347,"about_ca_system_score_gemma":0.00041151117,"threshold_uncertainty_score":0.9999734},"labels":[],"label_agreement":null},{"id":"W2084928489","doi":"10.1016/j.pmedr.2015.01.004","title":"School-travel by public transit: Rethinking active transportation","year":2015,"lang":"en","type":"article","venue":"Preventive Medicine Reports","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":63,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia; Simon Fraser University; British Columbia Centre of Excellence for Women's Health","funders":"Canadian Institutes of Health Research; U.S. Public Health Service; Health Canada; Canadian HIV Trials Network, Canadian Institutes of Health Research; Michael Smith Health Research BC; Heart and Stroke Foundation of Canada","keywords":"Public transport; Transit (satellite); Transport engineering; Travel behavior; Business; Engineering","score_opus":0.055828656777214436,"score_gpt":0.33540723301174313,"score_spread":0.2795785762345287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084928489","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9045765,0.001436415,0.010169711,0.008721069,0.0012677759,0.00095245347,0.000021086304,0.00022933535,0.072625704],"genre_scores_gemma":[0.9962417,0.000050506926,0.000107314394,0.000147142,0.0004185825,0.000035775563,0.0002056141,0.000018973202,0.0027744104],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.996984,0.00025645285,0.000666421,0.00053385715,0.0011268783,0.00043238862],"domain_scores_gemma":[0.9980948,0.00007313831,0.00040460372,0.00027190524,0.0005351637,0.0006203804],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027105103,0.00019829461,0.00037921316,0.000105366664,0.00031617962,0.000037915786,0.00019192853,0.00015949512,0.0006452859],"category_scores_gemma":[0.00078908313,0.00017201754,0.00011350395,0.0005295865,0.0005422896,0.00086377433,0.000004775475,0.00033025458,0.0000067032915],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010467321,0.00038572305,0.8415422,0.00006822051,0.00017054331,0.00047252077,0.122546084,0.0000021988672,0.0014586237,0.0015351657,0.01650947,0.015204599],"study_design_scores_gemma":[0.0018161361,0.00025705618,0.8018652,0.00035077857,0.00038759338,0.000011338375,0.033730354,0.000009055964,0.0025793747,0.0891263,0.06910883,0.0007579883],"about_ca_topic_score_codex":0.004925399,"about_ca_topic_score_gemma":0.005074473,"teacher_disagreement_score":0.09166523,"about_ca_system_score_codex":0.00021786011,"about_ca_system_score_gemma":0.0006563511,"threshold_uncertainty_score":0.7445763},"labels":[],"label_agreement":null},{"id":"W2085086602","doi":"10.1016/j.ypmed.2009.08.014","title":"Sustained Active Transportation is associated with a favorable body mass index trajectory across the early school years: Findings from the Quebec Longitudinal Study of Child Development birth cohort","year":2009,"lang":"en","type":"article","venue":"Preventive Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":179,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine; Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Body mass index; Overweight; Demography; Longitudinal study; Cohort; Obesity; Cohort study; Predictive power; Pediatrics; Gerontology; Internal medicine","score_opus":0.013912503277085684,"score_gpt":0.2880330092494073,"score_spread":0.27412050597232157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085086602","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996535,0.000098906195,0.00029587245,0.0010047506,0.00006461504,0.0016139756,0.000044576987,0.0000421245,0.000300186],"genre_scores_gemma":[0.998681,0.000008160185,0.00001020174,0.00014356719,0.00009885635,0.000050457435,0.00005365292,0.000011035907,0.0009430873],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975134,0.0002888279,0.00044218273,0.0003944781,0.0009886776,0.00037240007],"domain_scores_gemma":[0.9988561,0.0002240737,0.0003151645,0.00023095784,0.00027374705,0.00009993831],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014403579,0.00019854035,0.0003855489,0.0000435646,0.0006598861,0.000042393767,0.00044511733,0.000083055595,0.00031594693],"category_scores_gemma":[0.00015393253,0.000112551286,0.000063393134,0.0006985706,0.00047165007,0.00032143347,0.00000885238,0.00037665316,0.0000018041038],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024021808,0.00035349076,0.8518926,0.0000037979842,0.0003222095,0.000010306752,0.1463951,0.0000019986257,0.000021309848,0.000014089057,0.00007090895,0.00067398784],"study_design_scores_gemma":[0.0017527906,0.00029154727,0.9320447,0.00018463425,0.00017622278,3.404694e-8,0.064944424,0.0000017660748,0.00011585461,0.00025709864,0.00010041529,0.00013053796],"about_ca_topic_score_codex":0.056612436,"about_ca_topic_score_gemma":0.20895775,"teacher_disagreement_score":0.1523453,"about_ca_system_score_codex":0.00025334262,"about_ca_system_score_gemma":0.00035956324,"threshold_uncertainty_score":0.94966966},"labels":[],"label_agreement":null},{"id":"W2085163151","doi":"10.1177/0013916506290959","title":"Testing the Relationship Between Involvement and Perceived Neighborhood Safety","year":2007,"lang":"en","type":"article","venue":"Environment and Behavior","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Residence; Feeling; Disadvantaged; Social psychology; Association (psychology); Psychology; Perception; Categorical variable; Survey data collection; Environmental health; Gerontology; Demography; Medicine; Sociology; Political science","score_opus":0.07957793055753792,"score_gpt":0.30051353853405477,"score_spread":0.22093560797651685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085163151","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977664,0.00012823597,0.00010976476,0.0003491813,0.00002921189,0.00026350954,0.00000468222,0.000019535584,0.0013295013],"genre_scores_gemma":[0.9992244,0.000013041712,0.00021887217,0.00003414848,0.00012806464,0.00000826489,0.000007869387,0.000004599777,0.0003607293],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99924976,0.00004160905,0.00016305878,0.00016955579,0.00019309451,0.00018294033],"domain_scores_gemma":[0.9994015,0.00036357698,0.000045260203,0.000096544514,0.0000039100987,0.00008919142],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008268592,0.00007262906,0.0000715099,0.000016122067,0.00080982747,0.000037936046,0.00007679456,0.000055905384,0.00009750818],"category_scores_gemma":[0.000035937337,0.000053087748,0.000018842442,0.00005723211,0.0003253921,0.000119705706,0.000026737505,0.00011458738,0.000005074463],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000022982351,0.00003139456,0.9851304,0.0000020554057,0.0000016353121,0.0000012174393,0.0029011434,5.8799007e-8,0.00013799504,0.00021155574,0.0000030147742,0.011577205],"study_design_scores_gemma":[0.00013931938,0.000018557113,0.99676996,0.0000053673116,0.00007391874,7.0930184e-8,0.001572139,3.910031e-7,0.000013045562,0.00034371638,0.0009865846,0.00007693602],"about_ca_topic_score_codex":0.0003405168,"about_ca_topic_score_gemma":0.0002612873,"teacher_disagreement_score":0.011639527,"about_ca_system_score_codex":0.000043470587,"about_ca_system_score_gemma":0.000009981023,"threshold_uncertainty_score":0.622862},"labels":[],"label_agreement":null},{"id":"W2085223376","doi":"10.1016/j.socscimed.2009.07.019","title":"Disentangling the relative influence of built and socioeconomic environments on walking: The contribution of areas homogenous along exposures of interest","year":2009,"lang":"en","type":"article","venue":"Social Science & Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":75,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"Social Sciences and Humanities Research Council of Canada; Canadian Institutes of Health Research","keywords":"Census; Socioeconomic status; Geography; Geocoding; Recreation; Population; Demography; Cartography; Socioeconomics; Ecology; Sociology","score_opus":0.024768424531779677,"score_gpt":0.30911541873270965,"score_spread":0.28434699420092996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085223376","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954152,0.00023875851,0.000020090338,0.00316434,0.0000697401,0.00024160513,0.0000046505857,0.000004725045,0.00084090134],"genre_scores_gemma":[0.99971676,0.000049303453,0.0000019441384,0.0001220557,0.000093560695,0.0000020241457,0.0000011352464,0.0000016924449,0.00001152601],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99880755,0.000109782566,0.00033302474,0.00017110613,0.00038305248,0.00019545869],"domain_scores_gemma":[0.9991382,0.00025041276,0.00036472283,0.00012531505,0.00007306608,0.000048299975],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001974948,0.000075189826,0.00020620543,0.000037690355,0.0006739323,0.0000087760545,0.0004214351,0.000045848894,0.000016269107],"category_scores_gemma":[0.00040267626,0.000042685886,0.00004483781,0.00024196201,0.0073602716,0.0002467666,0.000020229552,0.00011803993,2.9315396e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039446186,0.00006191832,0.86093014,0.0000038328735,0.000010866372,5.447968e-7,0.098939195,0.000005317091,0.00761005,0.027385412,0.000008938725,0.005004335],"study_design_scores_gemma":[0.00025313484,0.00014684722,0.97114056,0.00005594149,0.000033786073,9.210863e-8,0.008010846,0.0000052992236,0.0028253905,0.01742636,0.00005434053,0.00004739746],"about_ca_topic_score_codex":0.00089126395,"about_ca_topic_score_gemma":0.00065020815,"teacher_disagreement_score":0.110210426,"about_ca_system_score_codex":0.00008810607,"about_ca_system_score_gemma":0.000107324064,"threshold_uncertainty_score":0.9953411},"labels":[],"label_agreement":null},{"id":"W2085273987","doi":"10.3141/2413-10","title":"Modeling Mobility Tool Ownership of Youth in Toronto, Ontario, Canada","year":2014,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Cape Breton University; Dalhousie University","funders":"","keywords":"Car ownership; Transport engineering; Business; Public transport; Regional science; Sociology; Engineering","score_opus":0.10289796209843582,"score_gpt":0.38052888278432273,"score_spread":0.2776309206858869,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085273987","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956261,0.00012821394,0.00063187035,0.0009741911,0.00044558904,0.0008028238,0.000048799735,0.000011876941,0.0013305349],"genre_scores_gemma":[0.9987706,0.00015533839,0.00039761953,0.00002773226,0.00014512819,0.000023901506,0.000015170887,0.00002450283,0.0004400354],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98987406,0.0020391908,0.0018494423,0.00042200493,0.004823979,0.0009913306],"domain_scores_gemma":[0.9948151,0.0008289165,0.00038308126,0.0005049583,0.0031006893,0.00036723327],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.011988539,0.00020882826,0.0005586322,0.00033623003,0.0005932975,0.00007484299,0.0013928346,0.00021145999,0.0010079904],"category_scores_gemma":[0.00041083785,0.00016398894,0.00032060852,0.0013270797,0.0007226489,0.00093313225,0.0000052974933,0.0018295948,0.000001258263],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008317825,0.00025738764,0.97214985,0.00016007293,0.00004001457,0.00001443429,0.019181922,0.002979685,0.00013132936,0.0022162367,0.00018685058,0.0018504278],"study_design_scores_gemma":[0.001027821,0.0001809395,0.9715779,0.00026329604,0.000038658625,1.1407799e-8,0.022102475,0.00037089124,0.00017599022,0.0025286458,0.0015546175,0.00017876348],"about_ca_topic_score_codex":0.9985472,"about_ca_topic_score_gemma":0.9999689,"teacher_disagreement_score":0.011577702,"about_ca_system_score_codex":0.0022797666,"about_ca_system_score_gemma":0.005755584,"threshold_uncertainty_score":0.9999052},"labels":[],"label_agreement":null},{"id":"W2085540235","doi":"10.1080/12265934.2013.777514","title":"Bus rapid transit – a review","year":2013,"lang":"en","type":"review","venue":"International Journal of Urban Sciences","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":136,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Bus rapid transit; Transport engineering; Public transport; Capital cost; Service (business); Business; Environmental economics; Computer science; Engineering","score_opus":0.11941791032152631,"score_gpt":0.43412945966489747,"score_spread":0.31471154934337114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085540235","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00000933962,0.97989845,0.00004170597,0.0015042825,0.002847955,0.00038581542,0.000026617226,0.000016891456,0.015268917],"genre_scores_gemma":[0.000090230955,0.9965286,0.000367014,0.0003222753,0.001721334,0.000010915021,0.000006780328,0.000011607465,0.00094124547],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99531984,0.00038672754,0.0014402537,0.0003122179,0.0022175806,0.00032338087],"domain_scores_gemma":[0.9967422,0.00033067676,0.0016745268,0.00015124274,0.0008780298,0.00022335685],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0034910128,0.00026531707,0.0012445101,0.00040598365,0.00026497216,0.00036014128,0.0035147327,0.00016424795,0.0036141041],"category_scores_gemma":[0.00040859292,0.00017741066,0.001045542,0.0007200633,0.0009846884,0.0011122695,0.00003819676,0.00045439202,0.00009846889],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000019154268,0.00006317309,0.00013557707,0.0015110204,0.00014173705,0.000044008095,0.00035799204,1.408224e-7,8.178848e-8,0.0008146525,0.021609409,0.9753203],"study_design_scores_gemma":[0.000072624454,0.000044119497,0.000015735242,0.024570758,0.00029601308,0.000025310217,0.00007850547,2.6327083e-7,2.3298054e-7,0.0003829113,0.9743235,0.0001899929],"about_ca_topic_score_codex":0.00019750158,"about_ca_topic_score_gemma":0.0000647447,"teacher_disagreement_score":0.9751303,"about_ca_system_score_codex":0.00020813578,"about_ca_system_score_gemma":0.002231237,"threshold_uncertainty_score":0.99729675},"labels":[],"label_agreement":null},{"id":"W2085857324","doi":"10.1016/j.ypmed.2007.07.032","title":"Proportions of students who use various modes of transportation to and from school in a representative population-based sample of children and adolescents, 1999","year":2007,"lang":"en","type":"article","venue":"Preventive Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":57,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Institute of Population and Public Health; Canadian Institutes of Health Research; Public Health Agency; Public Health Agency of Canada","keywords":"Socioeconomic status; Medicine; Demography; Population; Sample (material); Immigration; Public health; Environmental health; Gerontology; Geography","score_opus":0.019914786463412035,"score_gpt":0.34861468387926414,"score_spread":0.3286998974158521,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085857324","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946706,0.000114680566,0.0039951457,0.000045912966,0.000013304773,0.00070684304,0.00043531533,0.000005226089,0.000012932194],"genre_scores_gemma":[0.9986944,0.000015889502,0.0009913965,0.000013352321,0.000017772214,0.000006558749,0.00024180257,0.0000039517804,0.000014839421],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987702,0.000082071114,0.0004774615,0.0001991082,0.00037032925,0.00010083148],"domain_scores_gemma":[0.9992563,0.00020224096,0.00024124188,0.00009367067,0.00011919236,0.00008734545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005780646,0.00007069331,0.00026661038,0.00013049193,0.000038971863,0.000003532949,0.00008433366,0.000038156773,0.00008593222],"category_scores_gemma":[0.0003784314,0.00006201346,0.000024035457,0.0003024511,0.00023209295,0.00015524791,0.0000062041267,0.00005950843,4.3898854e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014410529,0.00019720162,0.9880337,0.000034636807,0.000023030136,5.862822e-7,0.010559686,0.000010937177,0.00032986424,0.000054993026,0.00001089894,0.0006003543],"study_design_scores_gemma":[0.0008747068,0.00006815298,0.99502695,0.00050598755,0.000058919646,7.71147e-9,0.0015416526,0.000007891704,0.000821271,0.0010437546,0.0000016722479,0.00004903752],"about_ca_topic_score_codex":0.15229908,"about_ca_topic_score_gemma":0.0500063,"teacher_disagreement_score":0.102292776,"about_ca_system_score_codex":0.000023840199,"about_ca_system_score_gemma":0.00004193066,"threshold_uncertainty_score":0.9673286},"labels":[],"label_agreement":null},{"id":"W2086019420","doi":"10.1016/j.healthplace.2011.10.005","title":"Comparing spatial accessibility to conventional medicine and complementary and alternative medicine in Ontario, Canada","year":2011,"lang":"en","type":"article","venue":"Health & Place","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Laurentian University","funders":"","keywords":"Urban agglomeration; Health care; Identification (biology); Diversity (politics); Endowment; Health geography; Service (business); Geography; Medicine; Business; Health policy; Economic growth; Nursing; Public health; Political science; International health; Marketing; Economic geography","score_opus":0.126304367299439,"score_gpt":0.3666029735069372,"score_spread":0.2402986062074982,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2086019420","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98568755,0.00023508929,0.000097423304,0.008740156,0.00033782359,0.00044833444,0.00001005997,0.00001175839,0.004431819],"genre_scores_gemma":[0.99732125,0.00001887113,0.000201248,0.002180296,0.00011430317,0.000009023287,0.000025534566,0.0000035858097,0.00012587376],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984445,0.00015635102,0.00041084105,0.00032275644,0.0003596739,0.00030585486],"domain_scores_gemma":[0.999228,0.00014360763,0.00011723391,0.00009769971,0.000048032583,0.00036542758],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013070359,0.000104449624,0.00031239924,0.000056620967,0.00028528378,0.0000070419724,0.00014305618,0.000025275256,0.0018269592],"category_scores_gemma":[0.00005427695,0.00009100527,0.000007656583,0.00011569093,0.00033427836,0.00013587528,0.000042104642,0.00017690433,4.3911325e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009346981,0.000025616948,0.9661585,0.000034980116,0.0000052963155,0.0000064731094,0.03069275,4.1127439e-7,0.0000012128157,0.00043256796,0.001891907,0.000656826],"study_design_scores_gemma":[0.000921862,0.00009129313,0.98762226,0.00011589316,0.0000051841807,3.6539828e-7,0.0037105668,0.000036635618,0.00000229653,0.0007685364,0.006644752,0.00008034234],"about_ca_topic_score_codex":0.99982387,"about_ca_topic_score_gemma":0.9999795,"teacher_disagreement_score":0.026982183,"about_ca_system_score_codex":0.0006845342,"about_ca_system_score_gemma":0.0011625312,"threshold_uncertainty_score":0.9990855},"labels":[],"label_agreement":null},{"id":"W2086263258","doi":"10.1080/21650020.2014.906907","title":"Pedestrian and bicyclist motivation: an assessment of influences on pedestrians’ and bicyclists’ mode choice in Mt. Pleasant, Vancouver","year":2014,"lang":"en","type":"article","venue":"Urban Planning and Transport Research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Pedestrian; Transport engineering; Mode choice; TRIPS architecture; Perception; Schema crosswalk; Walkability; Terrain; Applied psychology; Poison control; Built environment; Psychology; Geography; Engineering; Public transport; Environmental health","score_opus":0.10341122540471308,"score_gpt":0.45651733678714634,"score_spread":0.35310611138243325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2086263258","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99151886,0.00019394721,0.000076582626,0.00022362458,0.000062067826,0.00030485363,0.000023931756,0.000032333395,0.0075638285],"genre_scores_gemma":[0.9993136,0.00007619845,0.00015573773,0.000027018166,0.00014949818,0.00001680158,0.000027185435,0.000012328724,0.00022161842],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974851,0.00034551547,0.00040141743,0.0005517704,0.0007457096,0.0004704669],"domain_scores_gemma":[0.9985304,0.00078167475,0.00008866991,0.0002124912,0.000105846615,0.00028094524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024946826,0.0001688885,0.0003275921,0.00034589288,0.0005353223,0.000097319244,0.00021737815,0.00016174994,0.000025557172],"category_scores_gemma":[0.00017417419,0.00015318942,0.00002884707,0.0004985622,0.00091351155,0.0004969949,0.000013977814,0.0004905153,2.2555112e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007234005,0.000119812015,0.9925372,0.00010957168,0.0000091295315,0.000010017058,0.0047391583,0.00003797625,0.00008144752,0.0011271712,0.000051034513,0.0011051255],"study_design_scores_gemma":[0.0007470859,0.00022016076,0.9940078,0.00017647273,0.000011395806,2.1216461e-7,0.0014841058,0.00046080226,0.000022555063,0.0010214014,0.0016836275,0.00016436845],"about_ca_topic_score_codex":0.017766504,"about_ca_topic_score_gemma":0.023994783,"teacher_disagreement_score":0.0077947825,"about_ca_system_score_codex":0.000038483995,"about_ca_system_score_gemma":0.00019668482,"threshold_uncertainty_score":0.99381477},"labels":[],"label_agreement":null},{"id":"W2086413616","doi":"10.3167/trans.2011.010306","title":"Urban Consumers on Two Wheels","year":2011,"lang":"en","type":"article","venue":"Transfers","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Renting; Advertising; Public space; Business; Space (punctuation); Power (physics); Engineering; Architectural engineering; Civil engineering; Computer science","score_opus":0.06775587102188084,"score_gpt":0.3105966676780276,"score_spread":0.24284079665614677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2086413616","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.62254494,0.000027941338,0.00014320783,0.00023106116,0.00022042735,0.00015397764,0.000009786075,0.00010985318,0.37655878],"genre_scores_gemma":[0.9975419,0.000019143165,0.00006600001,0.0001889533,0.00005498898,0.00000766585,0.0000029573441,0.000009375605,0.0021090333],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99900836,0.00007350065,0.00014368218,0.00022003852,0.00023719207,0.00031722753],"domain_scores_gemma":[0.99960214,0.000037380465,0.000013938904,0.00015803502,0.000027317223,0.0001612162],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00032349915,0.00009754665,0.00012068667,0.00004287299,0.00024693625,0.000019539326,0.00024537632,0.000061585735,0.0037401002],"category_scores_gemma":[0.000009448665,0.00009042831,0.00009603471,0.00016521104,0.00041775013,0.00017274279,0.0000016030315,0.00012305722,0.00014781486],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021426984,0.0003075563,0.82795966,0.000019431749,0.00006369934,0.000016866568,0.1005063,5.836779e-7,0.0002786713,0.056031287,0.0035227065,0.011078968],"study_design_scores_gemma":[0.0033940787,0.00047487047,0.8203046,0.000079047,0.00021151011,2.8967443e-7,0.008812233,0.0000064666274,0.011824654,0.009862658,0.14383999,0.0011896632],"about_ca_topic_score_codex":0.0057417825,"about_ca_topic_score_gemma":0.0053086802,"teacher_disagreement_score":0.3749969,"about_ca_system_score_codex":0.00003501628,"about_ca_system_score_gemma":0.000088029905,"threshold_uncertainty_score":0.9971706},"labels":[],"label_agreement":null},{"id":"W2086827926","doi":"10.1177/1359105314542820","title":"Association of implementation of a public bicycle share program with intention and self-efficacy: The moderating role of socioeconomic status","year":2014,"lang":"en","type":"article","venue":"Journal of Health Psychology","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National d'Excellence en Santé et en Services Sociaux; University of Saskatchewan; Centre Hospitalier de l’Université de Montréal","funders":"Canadian Institutes of Health Research","keywords":"Socioeconomic status; Odds ratio; Confidence interval; Demography; Logistic regression; Psychology; Public health; Odds; Self-efficacy; Population; Environmental health; Gerontology; Social psychology; Medicine; Sociology; Nursing; Internal medicine","score_opus":0.03572490568592994,"score_gpt":0.4156918506704533,"score_spread":0.3799669449845233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2086827926","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9917326,0.00018737956,0.00030834874,0.0072795283,0.000066913846,0.00023983914,0.000006376098,0.0000053348863,0.00017367641],"genre_scores_gemma":[0.9988485,0.00009389407,0.00086211046,0.0001405061,0.000041770152,0.0000032658593,0.0000031884388,0.0000035187938,0.000003242971],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984469,0.0004574491,0.0006708515,0.00007797757,0.00016704485,0.00017980958],"domain_scores_gemma":[0.99745905,0.00010980434,0.0020372598,0.00006307205,0.00027995039,0.000050870392],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032700943,0.00004414314,0.00023035574,0.00006731706,0.00012561909,0.000013068819,0.00009344108,0.000051658884,0.00004538775],"category_scores_gemma":[0.000054208263,0.000031208267,0.00004531887,0.00008844271,0.000088624474,0.0001978903,0.0000052910245,0.00011767476,1.3903036e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023455026,0.0002539187,0.9049923,0.000039496084,0.00005219266,2.5107807e-8,0.008410312,0.000002716399,0.00007480399,0.0001852013,0.0000916975,0.085873894],"study_design_scores_gemma":[0.0008054868,0.0006657138,0.99206626,0.000018386621,0.000023083785,4.3488131e-7,0.004315969,0.00006520348,0.000028676272,0.0011056861,0.00087861565,0.00002649495],"about_ca_topic_score_codex":0.00051947497,"about_ca_topic_score_gemma":0.002711374,"teacher_disagreement_score":0.08707396,"about_ca_system_score_codex":0.00008800445,"about_ca_system_score_gemma":0.0002565289,"threshold_uncertainty_score":0.15130103},"labels":[],"label_agreement":null},{"id":"W2086902467","doi":"10.1061/41177(415)168","title":"Macro-Level Collision Prediction Models Related to Bicycle Use","year":2011,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Macro; Transport engineering; Collision; Macro level; Traffic congestion; Computer science; Engineering; Computer security; Economics","score_opus":0.14675197775040855,"score_gpt":0.3091541611763623,"score_spread":0.16240218342595375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2086902467","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9011085,0.0000067744154,0.0052633993,0.00014907472,0.0002401575,0.00026762602,0.000024019397,0.00019915296,0.09274132],"genre_scores_gemma":[0.9818314,0.0000077133745,0.0023117147,0.00011110872,0.00002671025,0.0000084239555,0.00000698059,0.0000067746296,0.015689207],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990688,0.000046759622,0.0001980885,0.0002276664,0.00024444782,0.0002142592],"domain_scores_gemma":[0.9995253,0.000023273706,0.000031164338,0.00016785586,0.000089754845,0.00016264536],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00035953426,0.00006801639,0.00008470204,0.00005156156,0.0002927783,0.000046573914,0.0001682295,0.000108384476,0.0010163869],"category_scores_gemma":[0.000035426623,0.00005852831,0.00004514784,0.00036776304,0.00007534956,0.00094655814,0.000018241662,0.00006937056,0.00009210682],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000088819295,0.00024676794,0.9255125,0.0000050253198,0.000017614842,0.000005627984,0.03744164,0.00013823007,0.00031417812,0.030303046,0.0033823997,0.0025441563],"study_design_scores_gemma":[0.00022177707,0.00004495142,0.9646629,0.000011717782,0.000016215887,9.3521244e-8,0.0010728431,0.0010079923,0.0009740416,0.029298345,0.0025320752,0.00015701256],"about_ca_topic_score_codex":0.014542448,"about_ca_topic_score_gemma":0.0057880855,"teacher_disagreement_score":0.08072288,"about_ca_system_score_codex":0.000051923747,"about_ca_system_score_gemma":0.000058665595,"threshold_uncertainty_score":0.9998968},"labels":[],"label_agreement":null},{"id":"W2087241579","doi":"10.1016/j.trd.2014.06.012","title":"Using the built environment to oversample walk, transit, and bicycle travel","year":2014,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Northwest University; Washington State Department of Transportation; Research and Innovative Technology Administration; U.S. Department of Transportation","keywords":"Oversampling; Transit (satellite); Quarter (Canadian coin); Transport engineering; Mile; Public transport; Block (permutation group theory); Travel behavior; Geography; Computer science; Engineering; Telecommunications; Mathematics; Archaeology; Geodesy","score_opus":0.11161127980467561,"score_gpt":0.36225046799461114,"score_spread":0.2506391881899355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2087241579","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9697053,0.00025531417,0.02453608,0.0035050255,0.00006240907,0.0010101127,0.00009166737,0.00003557925,0.0007985428],"genre_scores_gemma":[0.99716115,0.0009492846,0.00090895017,0.00018622546,0.00014790994,0.00009107335,0.00006491897,0.000029489713,0.000460994],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99664646,0.00024358009,0.0004685695,0.0006951862,0.0011729732,0.00077323726],"domain_scores_gemma":[0.99884236,0.00017425451,0.00005419448,0.00036015638,0.000023561544,0.00054549216],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0022200774,0.0002495653,0.00029754362,0.00011746621,0.0014008364,0.00006424039,0.00027532954,0.0001439409,0.0007938521],"category_scores_gemma":[0.000007710981,0.00020715143,0.00009822018,0.00022238864,0.0011357764,0.00028044573,0.000006468116,0.00035843483,0.000020643696],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003092401,0.0004368766,0.9172665,0.0001402652,0.000101905265,0.000025132844,0.051755637,0.002408038,0.004319496,0.005363622,0.00013249551,0.017740814],"study_design_scores_gemma":[0.00057117274,0.00011073954,0.8524948,0.000026814594,0.0000761649,2.4241092e-7,0.0028900555,0.00013405216,0.00038540657,0.0012877419,0.1417341,0.0002887228],"about_ca_topic_score_codex":0.008377714,"about_ca_topic_score_gemma":0.008798452,"teacher_disagreement_score":0.14160159,"about_ca_system_score_codex":0.00008471806,"about_ca_system_score_gemma":0.000056513076,"threshold_uncertainty_score":0.9998992},"labels":[],"label_agreement":null},{"id":"W2087393126","doi":"10.14714/cp74.1202","title":"Review of Bike There!: Your map for cycling in and around Portland and Vancouver, 8th edition","year":2014,"lang":"en","type":"article","venue":"Cartographic Perspectives","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cycling; Geography; Archaeology","score_opus":0.019504394682433368,"score_gpt":0.31039496654712073,"score_spread":0.29089057186468736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2087393126","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9263212,0.06997391,0.00029390378,0.00036815825,0.00021743645,0.00041904981,0.000014687162,0.000023274924,0.002368355],"genre_scores_gemma":[0.98311585,0.016419744,0.00012991858,0.00006462112,0.0002044172,0.000019877356,0.0000037783188,0.000005494278,0.000036307116],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99923337,0.000071157614,0.0001813425,0.00024701084,0.00011484034,0.0001523046],"domain_scores_gemma":[0.99954474,0.0001101147,0.00009468808,0.000096022755,0.00009777408,0.000056667122],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008219634,0.00008329901,0.0002250671,0.000095648866,0.00013683464,0.000018321558,0.00006654156,0.000056983758,0.000014867783],"category_scores_gemma":[0.00012784224,0.00007336325,0.00006652484,0.00022017138,0.00043081198,0.00019643239,0.000007769441,0.00007070554,6.968826e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029383982,0.00009005364,0.97511905,0.0016609693,0.000024346082,7.357826e-7,0.014406001,2.3471725e-7,0.00012380078,0.004782228,0.00071462145,0.003048553],"study_design_scores_gemma":[0.0013932401,0.00019478546,0.8416902,0.0035775935,0.00011684865,4.5209975e-7,0.07358736,0.000042917174,0.000057476456,0.057253312,0.021653479,0.0004323598],"about_ca_topic_score_codex":0.00081462075,"about_ca_topic_score_gemma":0.0098629985,"teacher_disagreement_score":0.1334289,"about_ca_system_score_codex":0.000014535583,"about_ca_system_score_gemma":0.0000307296,"threshold_uncertainty_score":0.5503785},"labels":[],"label_agreement":null},{"id":"W2087485018","doi":"10.4000/vertigo.11761","title":"Arrimer les compétences individuelles des personnes âgées et l’accessibilité des territoires de banlieue pour une mobilité durable","year":2012,"lang":"fr","type":"article","venue":"VertigO","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.05258539365778643,"score_gpt":0.3132185842241798,"score_spread":0.2606331905663934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2087485018","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9191961,0.06400949,0.0008185465,0.0035564161,0.0009717108,0.0004129109,0.00010643006,0.00021044022,0.010717936],"genre_scores_gemma":[0.9791001,0.001933025,0.010398118,0.0003212221,0.0010411314,0.000062282714,0.000025225578,0.000056968172,0.0070619397],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99503934,0.00091809256,0.0007705689,0.00076906226,0.00061579095,0.0018871704],"domain_scores_gemma":[0.9976138,0.00068853627,0.0002727432,0.00051220553,0.00020762558,0.0007051294],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.0017356921,0.0006021737,0.00065974874,0.00014746728,0.0021242124,0.00036596152,0.0010378575,0.00048450718,0.0024992302],"category_scores_gemma":[0.0003347181,0.00053566816,0.00042336783,0.0010313423,0.005446764,0.0029438331,0.00012456033,0.0005199299,0.00016149462],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000073197705,0.001051564,0.9120246,0.00043311703,0.00012047145,0.000008655748,0.059903447,0.000035244313,0.00073719723,0.009160619,0.0011578785,0.015294005],"study_design_scores_gemma":[0.00047798577,0.00014980651,0.88825023,0.0005393547,0.00024928938,0.0000062050367,0.033339486,0.00012430288,0.0044971653,0.051009577,0.020566078,0.00079054065],"about_ca_topic_score_codex":0.10136129,"about_ca_topic_score_gemma":0.076363966,"teacher_disagreement_score":0.06207646,"about_ca_system_score_codex":0.00035938452,"about_ca_system_score_gemma":0.0005280718,"threshold_uncertainty_score":0.9997095},"labels":[],"label_agreement":null},{"id":"W2087555083","doi":"10.1016/j.jtrangeo.2014.08.011","title":"Citizen participation for sustainable transport: the case of “Living City” in Santiago, Chile (1997–2012)","year":2014,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":127,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Centro de Desarrollo Urbano Sustentable; Vedecká Grantová Agentúra MŠVVaŠ SR a SAV","keywords":"Civil society; Transformative learning; Institution; Urban planning; Opposition (politics); Transportation planning; Public relations; Political science; Sustainable transport; Corporate governance; Public transport; Sociology; Public administration; Sustainability; Economic growth; Politics; Engineering; Management; Economics; Law","score_opus":0.015548626978227658,"score_gpt":0.2944824287003699,"score_spread":0.2789338017221422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2087555083","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9919481,0.00042517253,0.0046658185,0.00053821545,0.00015279574,0.0004568799,0.000026876041,0.000015419651,0.0017707013],"genre_scores_gemma":[0.9991778,0.00007899628,0.00034906375,0.000067329354,0.00023032224,0.000016912281,0.0000053686554,0.000014395895,0.000059775448],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99773717,0.00015662325,0.0010204053,0.00019371763,0.0003756931,0.0005163819],"domain_scores_gemma":[0.9982104,0.0005329973,0.0005678608,0.00018247576,0.00037274294,0.00013354697],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004544838,0.0001601254,0.0004481126,0.00033640495,0.00046780644,0.000025121004,0.00039116907,0.00013199773,0.0002106443],"category_scores_gemma":[0.00013038366,0.00012172682,0.0005826835,0.0008054564,0.00045480425,0.0006850736,0.0000035225223,0.0002665115,1.9379993e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000115594645,0.00026273163,0.98937494,0.00013785614,0.00005987347,0.000103369566,0.0062247505,0.00021298061,0.000018996247,0.0024900087,0.00009665455,0.0009022532],"study_design_scores_gemma":[0.000567762,0.00020311019,0.985316,0.00017872416,0.00024553706,0.000008151709,0.0035102242,0.000029485776,0.000091563394,0.004671542,0.0050061047,0.0001718091],"about_ca_topic_score_codex":0.0033194015,"about_ca_topic_score_gemma":0.023508778,"teacher_disagreement_score":0.020189377,"about_ca_system_score_codex":0.000025911948,"about_ca_system_score_gemma":0.00017007915,"threshold_uncertainty_score":0.99430966},"labels":[],"label_agreement":null},{"id":"W2087854787","doi":"10.3141/2387-06","title":"Station-Level Forecasting of Bikesharing Ridership","year":2013,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":281,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Transport engineering; Consistency (knowledge bases); Regression analysis; Range (aeronautics); Population; Computer science; Statistics; Engineering; Mathematics; Environmental health","score_opus":0.3104717152258833,"score_gpt":0.432147793857851,"score_spread":0.12167607863196772,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2087854787","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9922655,0.00018338738,0.0010553648,0.0033035616,0.0004575414,0.0012697306,0.00007408834,0.000025335981,0.0013654536],"genre_scores_gemma":[0.9954959,0.00034257703,0.0021690312,0.00002498767,0.00025554685,0.000067195535,0.000016808812,0.000039867067,0.0015880694],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99033076,0.0014876508,0.0018382211,0.0003926268,0.0048703733,0.0010803749],"domain_scores_gemma":[0.9890847,0.0018809484,0.00078529574,0.00043189162,0.0073289163,0.00048825017],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007830494,0.00021793508,0.00048669588,0.00096379896,0.0012251778,0.00021062643,0.0015344016,0.00022376077,0.0019457986],"category_scores_gemma":[0.00069133687,0.00017145227,0.0004545759,0.0028813435,0.001555108,0.0017600537,0.000006872972,0.0018416573,0.000025160196],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003518195,0.00025199036,0.9603691,0.00031778027,0.00010940468,0.000018177372,0.01718802,0.0003594958,0.0016306791,0.003998837,0.0037383765,0.011666338],"study_design_scores_gemma":[0.00086517434,0.00024512163,0.96697307,0.00039071473,0.000039133974,4.7691e-8,0.012793326,0.000100345256,0.0015221867,0.012937247,0.0039581293,0.00017549598],"about_ca_topic_score_codex":0.13570972,"about_ca_topic_score_gemma":0.22830895,"teacher_disagreement_score":0.09259923,"about_ca_system_score_codex":0.00025641406,"about_ca_system_score_gemma":0.0013070072,"threshold_uncertainty_score":0.9989666},"labels":[],"label_agreement":null},{"id":"W2087866592","doi":"10.5198/jtlu.v6i2.296","title":"Spatial modeling of bicycle activity at signalized intersections","year":2013,"lang":"en","type":"article","venue":"Journal of Transport and Land Use","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Transport engineering; Regression analysis; Spatial analysis; Computer science; Environmental science; Engineering; Statistics; Mathematics","score_opus":0.034015145562030176,"score_gpt":0.2813042516909975,"score_spread":0.24728910612896732,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2087866592","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957813,0.00007339216,0.0033192148,0.00020649105,0.00015215846,0.00008847922,0.000007696554,0.0000073679275,0.0003638677],"genre_scores_gemma":[0.9995153,0.00008582963,0.00008894713,0.000014286064,0.00011636565,9.773422e-7,0.0000013098186,0.0000045085985,0.00017247164],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99924725,0.00003592616,0.0003003186,0.00007887168,0.0002118716,0.0001257477],"domain_scores_gemma":[0.9994658,0.000041831107,0.00016807237,0.00005757032,0.00014482684,0.000121857265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027790925,0.00006764718,0.00021756242,0.000066123124,0.00015285322,0.000022576776,0.000087044566,0.00006439048,0.0004911088],"category_scores_gemma":[0.000012129559,0.000050434744,0.00013194009,0.00008190815,0.00009965969,0.0006384353,0.000003639373,0.00012253271,7.817555e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019408343,0.00008562393,0.9947674,0.000015691809,0.00003273366,0.0000045199245,0.0027370458,0.00011688914,0.0012033766,0.0000044224475,0.00002029719,0.00081787416],"study_design_scores_gemma":[0.0006477469,0.00006631686,0.99668074,0.000042854394,0.0000810216,0.0000015774274,0.0002828196,0.00093047804,0.0003112677,0.00034693675,0.00052238005,0.0000858636],"about_ca_topic_score_codex":0.03108187,"about_ca_topic_score_gemma":0.029004276,"teacher_disagreement_score":0.0037339719,"about_ca_system_score_codex":0.000021209871,"about_ca_system_score_gemma":0.000060195784,"threshold_uncertainty_score":0.98871386},"labels":[],"label_agreement":null},{"id":"W2087934267","doi":"10.2495/sw100701","title":"Cycling in the city, reduction of greenhouse gas emissions and economic impact on tourism: case study of Puebla, Mexico","year":2010,"lang":"en","type":"article","venue":"WIT transactions on ecology and the environment","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Asociación Nacional de Universidades e Instituciones de Educación Superior; Benemérita Universidad Autónoma de Puebla; Consejo Nacional de Ciencia y Tecnología","keywords":"Context (archaeology); Tourism; Latin Americans; Greenhouse gas; Sustainability; Geography; Cycling; Environmental planning; Urban sustainability; Urban planning; Regional science; Business; Economy; Political science; Natural resource economics; Civil engineering; Engineering; Economics; Archaeology","score_opus":0.014460447488150462,"score_gpt":0.2762358159289983,"score_spread":0.26177536844084787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2087934267","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984546,0.00001310225,0.000050997394,0.00071763253,0.00010486645,0.00046102985,0.000007823177,0.00000463123,0.00018536179],"genre_scores_gemma":[0.99977803,0.00009920283,0.000011101756,0.000013604631,0.000019941917,0.00002822935,4.1456843e-7,0.0000035949731,0.000045849574],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992408,0.0001961573,0.00021114519,0.00016106477,0.000079009944,0.00011180548],"domain_scores_gemma":[0.9994538,0.00023385214,0.00008489113,0.00018685828,0.0000024721514,0.000038142694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081972714,0.00007911043,0.00015656101,0.00005277495,0.00042358966,0.000007710214,0.00009792041,0.000081877966,0.0002321363],"category_scores_gemma":[0.000004211607,0.000046665748,0.00004720787,0.00004221659,0.0006411103,0.00006741172,0.0000028090153,0.00028335597,9.4095725e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008566624,0.0049933665,0.871412,0.000013829193,0.0002206916,0.000067862966,0.101414755,0.008150582,0.0005584364,0.00053666194,0.000012191965,0.011763006],"study_design_scores_gemma":[0.0025552418,0.0008851352,0.95514107,0.0000079606125,0.00018830248,0.00003913993,0.03780669,0.00021332377,0.00049191347,0.0024884013,0.00005024071,0.00013256384],"about_ca_topic_score_codex":0.007510383,"about_ca_topic_score_gemma":0.031878535,"teacher_disagreement_score":0.08372913,"about_ca_system_score_codex":0.000037232374,"about_ca_system_score_gemma":0.000024993724,"threshold_uncertainty_score":0.9990987},"labels":[],"label_agreement":null},{"id":"W2088209801","doi":"10.1007/s11116-009-9226-8","title":"Built environment and pedestrian behavior at rail rapid transit stations in Bangkok","year":2009,"lang":"en","type":"article","venue":"Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":63,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Nature; Asian Institute of Technology; Concordia University","keywords":"TRIPS architecture; Taxis; Transport engineering; Pedestrian; Destinations; Urbanization; Geography; Transit (satellite); Public transport; Business; Engineering; Economic growth; Economics; Tourism","score_opus":0.02562113040682164,"score_gpt":0.2902311790855387,"score_spread":0.26461004867871707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088209801","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971299,0.00022706331,0.000268578,0.0010768871,0.00004000082,0.00042444057,0.000050493905,0.00004618469,0.0007364336],"genre_scores_gemma":[0.9988527,0.00031565846,0.00021340676,0.00007498833,0.000030954518,0.000026599762,0.00019478105,0.0000060054426,0.00028486396],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99897075,0.000035753787,0.00028021875,0.00024935632,0.0002475938,0.0002163495],"domain_scores_gemma":[0.99969774,0.000032455457,0.000053456948,0.00009869004,0.000013409179,0.00010427101],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023803274,0.00010161948,0.00012961705,0.00006743916,0.00023253229,0.000023194172,0.000078868194,0.00008579706,0.0006587041],"category_scores_gemma":[0.0000042272004,0.0001099822,0.000046881505,0.0001504374,0.00012084973,0.0003299351,4.253364e-7,0.000084030056,0.00000866764],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050038387,0.00019622197,0.95906633,0.000012255151,0.0000031930074,0.000018359111,0.021686934,0.000044305943,0.0018044544,0.00039805158,0.000020513093,0.016699351],"study_design_scores_gemma":[0.0005774747,0.000044620745,0.99596876,0.000008680895,0.000042266463,6.3158296e-8,0.00069099985,0.000003506759,0.00029829622,0.0005523856,0.0016868811,0.00012607742],"about_ca_topic_score_codex":0.0026097854,"about_ca_topic_score_gemma":0.0765026,"teacher_disagreement_score":0.07389282,"about_ca_system_score_codex":0.0000767914,"about_ca_system_score_gemma":0.000059533195,"threshold_uncertainty_score":0.9403488},"labels":[],"label_agreement":null},{"id":"W2088624007","doi":"10.1080/08959420.2012.683329","title":"Resolving Mobility Constraints Impeding Rural Seniors' Access to Regionalized Services","year":2012,"lang":"en","type":"article","venue":"Journal of Aging & Social Policy","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Government (linguistics); Rural area; Business; Population; Economic growth; Political science; Economics; Sociology","score_opus":0.036172858294405065,"score_gpt":0.39044232990382993,"score_spread":0.35426947160942485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088624007","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9820481,0.00019700565,0.00009917967,0.013159862,0.0006511503,0.00016719382,0.0000070929036,0.000044650944,0.0036257592],"genre_scores_gemma":[0.9879161,0.000028321016,0.0002681161,0.0012035434,0.010441276,0.0000023765083,0.0000013594228,0.000014917077,0.00012394974],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99750566,0.00026213497,0.0006343722,0.0001382758,0.0007318027,0.0007277464],"domain_scores_gemma":[0.99831325,0.00016292569,0.00056018686,0.000116101786,0.00035268188,0.00049485377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025763938,0.00016412704,0.00038697023,0.00022842639,0.00095771055,0.00031809983,0.00072612806,0.00013161237,0.00017208379],"category_scores_gemma":[0.00032951983,0.0001499681,0.00028698807,0.0007058303,0.00040166875,0.0020877393,0.00008997834,0.0003520664,0.0000075347484],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006464068,0.00012539537,0.84288776,0.00007333549,0.000067455476,0.000007070688,0.14361651,0.0000024530323,0.00048675665,0.0024865675,0.0016997645,0.008482298],"study_design_scores_gemma":[0.0007225441,0.000027714792,0.9442713,0.00019602773,0.00008941249,0.0000071002255,0.036115203,0.0000025327574,0.00024223638,0.0045502027,0.013417845,0.00035786492],"about_ca_topic_score_codex":0.008708087,"about_ca_topic_score_gemma":0.0006654479,"teacher_disagreement_score":0.10750131,"about_ca_system_score_codex":0.00041870758,"about_ca_system_score_gemma":0.0005883629,"threshold_uncertainty_score":0.99789304},"labels":[],"label_agreement":null},{"id":"W2089346934","doi":"10.1080/15568318.2013.811332","title":"Breaking into Bicycle Theft: Insights from Montreal, Canada","year":2014,"lang":"en","type":"article","venue":"International Journal of Sustainable Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"Transport Canada; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Advertising; Business","score_opus":0.005115119872147564,"score_gpt":0.25140988085734256,"score_spread":0.24629476098519498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089346934","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.989917,0.00016232977,0.0041844393,0.0017968285,0.0006876139,0.00008777344,0.000009072881,0.000016234904,0.0031387317],"genre_scores_gemma":[0.99848914,0.000028756689,0.00024149359,0.00021078832,0.00063103973,0.000002248133,0.00004341421,0.0000097511975,0.00034334927],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981451,0.000081571576,0.00050896587,0.00014054935,0.00092941325,0.00019439404],"domain_scores_gemma":[0.9980836,0.0001443762,0.00040380334,0.00008204896,0.0011568798,0.00012928092],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003416456,0.0001022652,0.00017226706,0.00013327056,0.00022149581,0.000097500495,0.00049445353,0.000064949076,0.00016635259],"category_scores_gemma":[0.00009968399,0.000093625684,0.00009217902,0.00016514091,0.0000831388,0.00093020266,0.0000033007286,0.00015747579,0.0000011606155],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00069786335,0.00037371137,0.80223227,0.000057241585,0.00047904803,0.0012768318,0.10502849,0.0032980635,0.0006996387,0.052597187,0.0016499626,0.031609703],"study_design_scores_gemma":[0.00065272447,0.00002649467,0.8957353,0.0000434526,0.000046933423,4.369457e-7,0.015240421,0.000060495142,0.00034305133,0.047682602,0.040027343,0.00014073588],"about_ca_topic_score_codex":0.9402339,"about_ca_topic_score_gemma":0.96050715,"teacher_disagreement_score":0.09350305,"about_ca_system_score_codex":0.00044698684,"about_ca_system_score_gemma":0.0010104778,"threshold_uncertainty_score":0.38179445},"labels":[],"label_agreement":null},{"id":"W2089433241","doi":"10.5539/gjhs.v6n4p136","title":"Creating a Healthy Built Environment for Diabetic Patients: The Case Study of the Eastern Province of the Kingdom of Saudi Arabia","year":2014,"lang":"en","type":"article","venue":"Global Journal of Health Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Medicine; Built environment; Diabetes mellitus; Disease; Environmental health; Gerontology; Optometry; Internal medicine; Engineering","score_opus":0.031918670984986505,"score_gpt":0.3344566474024374,"score_spread":0.3025379764174509,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089433241","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967797,0.00013532786,0.00020885869,0.001395122,0.0003667829,0.0010017675,0.000013687257,0.0000017352116,0.00009706112],"genre_scores_gemma":[0.99957937,0.000006781648,0.00015581948,0.00020104718,0.000045841807,0.000003705769,4.320126e-8,0.0000021862788,0.0000052146984],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99689555,0.0004100165,0.0009961664,0.00017869473,0.0011623566,0.00035722269],"domain_scores_gemma":[0.9968219,0.0001800643,0.0022240165,0.00036272843,0.00029228508,0.00011902061],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0058931257,0.00009006987,0.00030405523,0.000025223757,0.0011058792,0.000025712672,0.001291354,0.000025592117,0.0000030161805],"category_scores_gemma":[0.00042467893,0.000042614563,0.00012079912,0.00050650886,0.0014354286,0.00021056502,0.00010477582,0.00013797547,1.05933594e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031251733,0.00042231477,0.98946255,0.000071531904,0.000004854138,4.8664606e-7,0.0030152693,0.00011334385,0.000009477193,0.00019364468,0.000011553812,0.0066637164],"study_design_scores_gemma":[0.00065815146,0.0009040678,0.99138063,0.00015270914,0.00002689752,0.0000047801263,0.0060379026,0.00011518039,0.000040108458,0.00046121632,0.00016964287,0.000048692968],"about_ca_topic_score_codex":0.013011989,"about_ca_topic_score_gemma":0.0061444975,"teacher_disagreement_score":0.006867491,"about_ca_system_score_codex":0.00023281186,"about_ca_system_score_gemma":0.00129171,"threshold_uncertainty_score":0.99356043},"labels":[],"label_agreement":null},{"id":"W2089862386","doi":"10.2495/sdp-v9-n4-568-580","title":"The relationship between built environment and walking for different trip purposes in porto alegre, brazil","year":2014,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"TRIPS architecture; Transport engineering; Recreation; Built environment; Public transport; Pedestrian; Land use; Variables; Mode choice; Travel behavior; Work (physics); Population; Geography; Business; Engineering; Environmental health; Civil engineering; Mathematics; Statistics","score_opus":0.035956204800922854,"score_gpt":0.31554792386818203,"score_spread":0.27959171906725916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089862386","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958628,0.0006026369,0.0017718446,0.001101599,0.00013085284,0.00013415351,8.930121e-7,0.0000036727988,0.00039155845],"genre_scores_gemma":[0.99836075,0.0000455976,0.0005469478,0.000031311753,0.00022437729,0.0000066239686,0.0000056556923,0.0000039687366,0.00077474647],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989854,0.00005226624,0.0003685265,0.000094940624,0.00030874493,0.0001901125],"domain_scores_gemma":[0.9986339,0.00095062854,0.00021206785,0.00002960727,0.00010850953,0.00006525268],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016364037,0.000072705196,0.00011914605,0.00012528493,0.00043778672,0.00016610888,0.0001834721,0.000043780594,0.0000050539966],"category_scores_gemma":[0.0004716714,0.000052665986,0.000025774872,0.000044835342,0.000075677584,0.000288365,0.000030142442,0.0001241253,1.3472344e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005299289,0.000011042646,0.97446185,0.000011308257,0.000023917484,0.000019927782,0.007961571,0.0000074682707,0.0000012141945,0.0033547103,0.000047270307,0.014046693],"study_design_scores_gemma":[0.0004272922,0.000016683403,0.93873245,0.000060527575,0.000008222146,0.0000010108478,0.010800327,0.00000789286,0.000029293671,0.009965067,0.039883498,0.000067737885],"about_ca_topic_score_codex":0.000055798802,"about_ca_topic_score_gemma":0.00006803552,"teacher_disagreement_score":0.039836228,"about_ca_system_score_codex":0.00012771055,"about_ca_system_score_gemma":0.00009778415,"threshold_uncertainty_score":0.33671457},"labels":[],"label_agreement":null},{"id":"W2090394408","doi":"10.1007/s11116-010-9284-y","title":"Motivators and deterrents of bicycling: comparing influences on decisions to ride","year":2010,"lang":"en","type":"article","venue":"Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":565,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BC Hydro (Canada); University of British Columbia","funders":"","keywords":"Cycling; Transport engineering; Engineering; Traffic noise; Advertising; Geography; Business; Computer science; Forestry","score_opus":0.04536124731310646,"score_gpt":0.3495732268968907,"score_spread":0.3042119795837842,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2090394408","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979052,0.0000046849746,0.00016209262,0.00010182842,0.00018182902,0.00020385598,0.000009894678,0.000024255141,0.0014063607],"genre_scores_gemma":[0.9991477,0.0000046254618,0.0007294887,0.00004107813,0.000028272189,0.0000064268593,0.000010096039,0.0000042059924,0.000028088614],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992284,0.00001686554,0.00023947339,0.00017545653,0.00021865922,0.000121151425],"domain_scores_gemma":[0.99955213,0.000109518245,0.000072352486,0.000100687845,0.000050574545,0.000114736555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028119242,0.00006369732,0.00012732748,0.00006936407,0.00018141397,0.000034173503,0.00020654013,0.00005180984,0.000044848748],"category_scores_gemma":[0.000074257616,0.000058791153,0.000027325466,0.00021898873,0.00011736293,0.00025088404,0.0000024307456,0.00009760799,0.0000037472362],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029228022,0.00004533582,0.9856667,0.0000041276453,0.0000033835115,4.913191e-7,0.005579069,0.00002899011,0.0027078353,0.001432073,0.000005694184,0.0044971025],"study_design_scores_gemma":[0.0001583957,0.000023173072,0.99443173,0.00003283437,0.000011144877,7.967749e-9,0.00034371292,0.0000063437437,0.0028460135,0.0016256983,0.0004548899,0.00006606746],"about_ca_topic_score_codex":0.002976961,"about_ca_topic_score_gemma":0.057298046,"teacher_disagreement_score":0.054321084,"about_ca_system_score_codex":0.000005938639,"about_ca_system_score_gemma":0.0000380647,"threshold_uncertainty_score":0.95990384},"labels":[],"label_agreement":null},{"id":"W2090590232","doi":"10.1007/s11116-010-9282-0","title":"A time-use investigation of shopping participation in three Canadian cities: is there evidence of social exclusion?","year":2010,"lang":"en","type":"article","venue":"Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":51,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal; University of Toronto; McMaster University","funders":"","keywords":"Social exclusion; Disadvantaged; TRIPS architecture; Poverty; Dimension (graph theory); Demographic economics; Inclusion (mineral); Time-use survey; Duration (music); Work (physics); Sociology; Psychology; Economics; Economic growth; Social psychology; Transport engineering; Engineering; Mathematics","score_opus":0.05520039929511461,"score_gpt":0.3275270891043376,"score_spread":0.272326689809223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2090590232","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99867177,0.000023874882,0.00005205645,0.00061234593,0.00006988224,0.00026038048,0.000033864897,0.000016202399,0.00025963073],"genre_scores_gemma":[0.9996603,0.000006492901,0.00014137781,0.00004353766,0.000037834117,0.000012543177,0.000038636907,0.0000059545882,0.00005331055],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99895334,0.00004794269,0.00039133432,0.00014881347,0.00028883744,0.00016970087],"domain_scores_gemma":[0.99939847,0.000092711954,0.0001690666,0.00009378984,0.00016665166,0.000079335456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055525324,0.00007001419,0.00014346653,0.00012101711,0.00014986437,0.0000137965335,0.00012214243,0.00012884509,0.0006373861],"category_scores_gemma":[0.000059865433,0.00007526895,0.00005127323,0.00040362994,0.00030709602,0.00074164587,8.880515e-7,0.00011626983,0.0000026755322],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020370362,0.000014766979,0.92800385,0.000048389178,0.000003706175,6.724719e-7,0.06360635,0.000013320307,0.006641539,0.0012374459,0.000010709578,0.0003988699],"study_design_scores_gemma":[0.00012577244,0.000012970746,0.99538445,0.00008318434,0.000020504358,4.7869793e-9,0.00088478165,0.00014538929,0.0014110972,0.0018171136,0.00004021082,0.000074489544],"about_ca_topic_score_codex":0.29993218,"about_ca_topic_score_gemma":0.96297956,"teacher_disagreement_score":0.6630474,"about_ca_system_score_codex":0.000043131393,"about_ca_system_score_gemma":0.00047212318,"threshold_uncertainty_score":0.7047296},"labels":[],"label_agreement":null},{"id":"W2090680092","doi":"10.1016/j.socscimed.2014.11.050","title":"Exploring complex causal pathways between urban renewal, health and health inequality using a theory-driven realist approach","year":2014,"lang":"en","type":"article","venue":"Social Science & Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":63,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Public Health Ontario","funders":"","keywords":"Inequality; Psychological intervention; Sociology; Social determinants of health; Public health; Urban planning; Economic growth; Regional science; Medicine; Health care; Economics; Engineering; Civil engineering","score_opus":0.41792931940169403,"score_gpt":0.4217134879138344,"score_spread":0.0037841685121403623,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2090680092","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.974975,0.000220661,0.0064210985,0.007923163,0.00032981817,0.00054759166,0.000027157685,0.00017338178,0.009382132],"genre_scores_gemma":[0.9959901,0.00004451039,0.00043154327,0.0012071093,0.0022452981,0.000011500489,0.00004055365,0.000013255265,0.000016112795],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9955115,0.00085784314,0.0006336128,0.00070799,0.001290502,0.0009985714],"domain_scores_gemma":[0.99813026,0.00015188432,0.00041648975,0.00026337084,0.00014466078,0.0008933318],"candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.014843082,0.00020936126,0.0006685957,0.00014875772,0.0044256947,0.000098393495,0.00059440016,0.000073140516,0.000025604868],"category_scores_gemma":[0.00043559461,0.00017616391,0.00005502936,0.0013764756,0.0051885764,0.00066916255,0.00007390008,0.00027230903,7.159781e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021068505,0.00007332251,0.516997,0.00012231008,0.00000997892,7.504585e-7,0.32403398,0.0000011694679,0.0002456959,0.12905216,0.00035190472,0.029090697],"study_design_scores_gemma":[0.001765218,0.0007306403,0.8643704,0.0003034659,0.00005515431,8.2232486e-7,0.07844851,0.00036847743,0.000016972113,0.04374401,0.009388991,0.0008073077],"about_ca_topic_score_codex":0.05411612,"about_ca_topic_score_gemma":0.002485101,"teacher_disagreement_score":0.34737346,"about_ca_system_score_codex":0.0005870318,"about_ca_system_score_gemma":0.0014106962,"threshold_uncertainty_score":0.9975187},"labels":[],"label_agreement":null},{"id":"W2090764209","doi":"10.1097/01.ede.0000362629.45350.e3","title":"Change in Residential Proximity to Traffic and Risk of Death from Coronary Heart Disease","year":2009,"lang":"en","type":"article","venue":"Epidemiology","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Demography; Population; Cohort study; Socioeconomic status; Logistic regression; COPD; Cohort; Coronary heart disease; Environmental health; Internal medicine","score_opus":0.07485095414709983,"score_gpt":0.36894181775271867,"score_spread":0.29409086360561887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2090764209","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9895199,0.0010970051,0.00002886627,0.008658634,0.00009595293,0.00044353085,0.0000403875,0.000023743745,0.000091958056],"genre_scores_gemma":[0.99794513,0.00014400383,0.00047015885,0.0011816272,0.00020585091,0.000017667822,0.0000102723,0.0000025987686,0.000022669075],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982423,0.0008145534,0.00031068776,0.0002961791,0.00007420471,0.00026205307],"domain_scores_gemma":[0.9989829,0.0005691816,0.000084325475,0.00014722998,0.00001874576,0.00019761184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015803988,0.00007517314,0.00032395037,0.000048426326,0.00009037863,0.0000029963082,0.00012598824,0.00009305489,0.000092344024],"category_scores_gemma":[0.0011191912,0.0000681047,0.000048087306,0.00011435746,0.00016020241,0.00014509016,0.000014573829,0.00011832946,0.0000041702165],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016012821,0.00006465123,0.99240035,0.0000030083102,0.0000031959098,0.0000049610653,0.0018832522,0.000009371768,0.0000061938185,0.0004788574,0.00017204304,0.004814011],"study_design_scores_gemma":[0.00016943808,0.000055781147,0.97759944,0.000012953254,0.000016912123,3.9466034e-8,0.000055464774,0.000042607062,0.000002286228,0.021548165,0.00043008054,0.00006680246],"about_ca_topic_score_codex":0.023565939,"about_ca_topic_score_gemma":0.025257275,"teacher_disagreement_score":0.021069307,"about_ca_system_score_codex":0.00002692693,"about_ca_system_score_gemma":0.000055696066,"threshold_uncertainty_score":0.9925292},"labels":[],"label_agreement":null},{"id":"W2090885636","doi":"10.1007/s11116-011-9333-1","title":"Modelling commuting mode choice with explicit consideration of carpool in the choice set formation","year":2011,"lang":"en","type":"article","venue":"Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":57,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Carpool; Mode choice; Choice set; Discrete choice; Context (archaeology); Set (abstract data type); Mode (computer interface); Econometrics; Computer science; Choice modelling; Operations research; Transport engineering; Economics; Mathematics; Engineering; Public transport; Statistics; Geography","score_opus":0.10757307883332522,"score_gpt":0.31991359016695364,"score_spread":0.2123405113336284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2090885636","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9613361,0.000023573886,0.0357033,0.00008795143,0.000022700962,0.0003856121,0.0000140311795,0.000029414334,0.002397354],"genre_scores_gemma":[0.99886924,0.000009061701,0.000888918,0.000052710413,0.000028705543,0.000027829552,0.000108917506,0.0000058171595,0.0000087793605],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998981,0.00009404607,0.00035855212,0.00012386747,0.00028927354,0.00015324834],"domain_scores_gemma":[0.9994401,0.00012554567,0.00017631568,0.0001293669,0.00010408566,0.000024592062],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005145431,0.000079967656,0.000115901006,0.000052723197,0.00021199182,0.000019434001,0.00014168373,0.000060434177,0.000032640233],"category_scores_gemma":[0.000011605098,0.000061909705,0.000034207525,0.0002676207,0.00007394259,0.00087483873,5.207608e-7,0.00011504384,8.9937157e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048559326,0.00007748814,0.6977899,0.00006206991,0.00000667808,0.0000014536647,0.28224397,0.013485284,0.00011801522,0.005863932,0.0000062081176,0.00029645656],"study_design_scores_gemma":[0.0009305318,0.000069845526,0.9347972,0.00012328292,0.00008909374,1.9074528e-7,0.03220668,0.02558576,0.0021254967,0.0036684964,0.00015313317,0.00025024443],"about_ca_topic_score_codex":0.055992138,"about_ca_topic_score_gemma":0.17994037,"teacher_disagreement_score":0.25003728,"about_ca_system_score_codex":0.000025803754,"about_ca_system_score_gemma":0.00005710461,"threshold_uncertainty_score":0.9502941},"labels":[],"label_agreement":null},{"id":"W2091082948","doi":"10.1016/j.jtrangeo.2013.04.013","title":"A new concept of accessibility to personal activities: development of theory and application to an empirical study of mobility resource holdings","year":2013,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":35,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Context (archaeology); Set (abstract data type); Resource (disambiguation); Function (biology); Computer science; Class (philosophy); Empirical research; Affect (linguistics); Marketing; Business; Sociology; Artificial intelligence; Geography; Mathematics","score_opus":0.017404030548723227,"score_gpt":0.3213257377262006,"score_spread":0.30392170717747735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091082948","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99333376,0.000097620104,0.005452508,0.00010750785,0.00003500382,0.00086893165,0.000013995541,0.000009544622,0.000081143015],"genre_scores_gemma":[0.9969916,0.0000029006155,0.002880442,0.000042944892,0.0000482139,0.000014102219,0.000002023649,0.000007652289,0.000010149751],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973438,0.00020526668,0.0011294594,0.000304458,0.0007985627,0.00021848593],"domain_scores_gemma":[0.99819946,0.00015635607,0.0006023433,0.00023287915,0.00039153668,0.00041744113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002628344,0.00015366197,0.0005712437,0.0002832955,0.00013454373,0.00001693344,0.00046557523,0.000095004994,0.00015389289],"category_scores_gemma":[0.000037489735,0.00012847195,0.00019208834,0.00072969677,0.00032897238,0.0005424435,0.000016731767,0.00017479119,1.4334826e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045624992,0.0011426215,0.8504932,0.000051768537,0.00006955134,4.7068215e-7,0.13382854,0.000011737861,0.0013046057,0.000011431374,0.000015793661,0.012614017],"study_design_scores_gemma":[0.0005166795,0.0005619154,0.96024,0.000046132514,0.00007334393,1.9952905e-7,0.035460863,0.0000010573114,0.0022299595,0.0005219997,0.00023082025,0.000117025964],"about_ca_topic_score_codex":0.0018201581,"about_ca_topic_score_gemma":0.001404316,"teacher_disagreement_score":0.10974679,"about_ca_system_score_codex":0.000033929075,"about_ca_system_score_gemma":0.00033684712,"threshold_uncertainty_score":0.5238934},"labels":[],"label_agreement":null},{"id":"W2091176894","doi":"10.1016/j.socscimed.2014.07.026","title":"Assessing patterns of spatial behavior in health studies: Their socio-demographic determinants and associations with transportation modes (the RECORD Cohort Study)","year":2014,"lang":"en","type":"article","venue":"Social Science & Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":91,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine; Université de Montréal","funders":"","keywords":"Socioeconomic status; Geography; Metropolitan area; Built environment; Geocoding; Spatial ecology; Multilevel model; Spatial analysis; Environmental health; Demography; Statistics; Population; Medicine; Cartography; Sociology; Ecology; Mathematics","score_opus":0.05319747072224077,"score_gpt":0.3925860061278603,"score_spread":0.33938853540561953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091176894","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974143,0.000054796415,0.00027313078,0.0011387544,0.00013437103,0.0008152697,0.0000071320255,0.000023363771,0.00013887722],"genre_scores_gemma":[0.99960846,0.000056401313,0.000013304724,0.00008197668,0.0001664204,0.000055077406,0.0000038746366,0.000006366795,0.000008096693],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99752164,0.00034489384,0.0005147523,0.00035938926,0.00088352815,0.00037576913],"domain_scores_gemma":[0.99886835,0.00024143436,0.0004390912,0.000122067424,0.00023401015,0.00009507215],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.006298367,0.00012746971,0.00044575462,0.00013389064,0.0015855653,0.000044082728,0.00029379918,0.00005264433,0.000009760966],"category_scores_gemma":[0.0002014948,0.000079760306,0.000036721325,0.00092512014,0.0024391476,0.0005225652,0.000008136375,0.0001742684,7.186217e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004894903,0.00009861921,0.8796867,0.000014495334,0.000007587502,7.901527e-7,0.09816391,3.675004e-7,0.000032397762,0.000074594755,9.1428285e-7,0.021914707],"study_design_scores_gemma":[0.00038800837,0.00016663644,0.9074987,0.000069489324,0.000047137404,3.8271395e-8,0.0913228,0.000017029852,0.000007840196,0.00039205558,0.000009867465,0.00008038797],"about_ca_topic_score_codex":0.03821273,"about_ca_topic_score_gemma":0.20350945,"teacher_disagreement_score":0.16529672,"about_ca_system_score_codex":0.0001668577,"about_ca_system_score_gemma":0.00033341997,"threshold_uncertainty_score":0.99971426},"labels":[],"label_agreement":null},{"id":"W2091654080","doi":"10.1080/0965431042000312398","title":"Beyond moving people: excavating the motivations for investing in urban public transit infrastructure in Bilbao Spain","year":2005,"lang":"en","type":"article","venue":"European Planning Studies","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Situated; Context (archaeology); Transit (satellite); Public transport; Politics; Meaning (existential); Transport infrastructure; Urban infrastructure; Sociology; Regional science; Economy; Economic geography; Political science; Urban planning; Geography; Civil engineering; Transport engineering; Engineering; Economics; Archaeology","score_opus":0.05565587907678445,"score_gpt":0.321968278178009,"score_spread":0.26631239910122456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091654080","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98086053,0.0011880264,0.00031948788,0.004545819,0.00012154007,0.00037945592,0.0000072735734,0.00009224651,0.012485595],"genre_scores_gemma":[0.9974517,0.000016658109,0.0013634403,0.00035454895,0.0004896634,0.000020714446,0.00000903205,0.000020017467,0.00027419804],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99820626,0.00037877157,0.0004404241,0.00030534324,0.00021122156,0.0004580097],"domain_scores_gemma":[0.99880517,0.00078908267,0.00013675587,0.00014082504,0.00008101043,0.000047159952],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002770598,0.0001557153,0.00022507116,0.00015581555,0.0009872937,0.00012616887,0.00033781768,0.00003521212,0.000009453794],"category_scores_gemma":[0.0019595705,0.000122287,0.000050827908,0.0007925096,0.00022454541,0.00047052806,0.000046755493,0.0003019003,0.0000018729411],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003755357,0.000015884527,0.8380167,0.000023473736,0.000013067878,0.000002984176,0.15611857,0.001364558,0.00003373006,0.0007886467,0.0006994667,0.0029192006],"study_design_scores_gemma":[0.00030347158,0.000010396381,0.95948964,0.00012884405,0.000008591861,1.7077157e-7,0.033368718,0.00033729168,0.0000052138107,0.00055312336,0.005637373,0.00015713972],"about_ca_topic_score_codex":0.00021470035,"about_ca_topic_score_gemma":0.010586758,"teacher_disagreement_score":0.12274985,"about_ca_system_score_codex":0.00011866136,"about_ca_system_score_gemma":0.000073779185,"threshold_uncertainty_score":0.75935644},"labels":[],"label_agreement":null},{"id":"W2092257999","doi":"10.1007/s11116-014-9537-2","title":"An investigation on mode choice and travel distance demand of older people in the National Capital Region (NCR) of Canada: application of a utility theoretic joint econometric model","year":2014,"lang":"en","type":"article","venue":"Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Economic Development and Innovation","keywords":"Travel survey; Capital region; Mode choice; Older people; Econometric model; Travel behavior; Empirical research; Modal; Mode (computer interface); Population; Social capital; Economics; Distance decay; Public economics; Demographic economics; Geography; Transport engineering; Public transport; Econometrics; Economic geography; Microeconomics; Engineering; Computer science; Sociology; Demography","score_opus":0.023912364294341206,"score_gpt":0.2621579690231122,"score_spread":0.23824560472877102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2092257999","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97022504,0.000017562765,0.028933177,0.0001732583,0.000010002454,0.00031091855,0.000054841956,0.0000036916206,0.00027148996],"genre_scores_gemma":[0.99973834,0.000007480918,0.000094898984,0.000027851243,0.000011716659,0.000018759514,0.00009406265,0.0000035978062,0.000003311975],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99891275,0.00009143512,0.0003817763,0.00017617762,0.00034918642,0.00008868735],"domain_scores_gemma":[0.9993495,0.00012453299,0.00025081242,0.000106301064,0.00013233851,0.000036521207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007578311,0.000067481466,0.0001569868,0.000080912476,0.00006421641,0.000004664191,0.000109195564,0.00005134362,0.000003024239],"category_scores_gemma":[0.00003949822,0.00005806759,0.000026159618,0.00034248817,0.0001962593,0.00020385461,4.617266e-7,0.000057372345,2.604293e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036076304,0.00013857702,0.8626086,0.00016055047,0.0000042076244,3.3560287e-8,0.036621567,0.007258801,0.00035329064,0.09239914,0.00000385979,0.00041527045],"study_design_scores_gemma":[0.00022008804,0.000024690125,0.92245364,0.000015715701,0.0000132389,1.4462367e-8,0.00086724723,0.051703803,0.00056610163,0.024084095,7.895515e-7,0.00005055542],"about_ca_topic_score_codex":0.15516758,"about_ca_topic_score_gemma":0.7995736,"teacher_disagreement_score":0.644406,"about_ca_system_score_codex":0.000044684126,"about_ca_system_score_gemma":0.00022094707,"threshold_uncertainty_score":0.85045826},"labels":[],"label_agreement":null},{"id":"W2092494727","doi":"10.1016/j.retrec.2011.08.009","title":"A disaggregated tool for evaluation of road safety policies","year":2011,"lang":"en","type":"article","venue":"Research in Transportation Economics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Transport engineering; Poison control; Occupational safety and health; Business; Risk analysis (engineering); Engineering; Environmental health; Political science; Medicine","score_opus":0.23768235496419532,"score_gpt":0.4390780681236602,"score_spread":0.20139571315946486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2092494727","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.992758,0.000060141432,0.00013461479,0.0002001007,0.000075067815,0.0010202662,0.00012526504,0.00001492722,0.0056116325],"genre_scores_gemma":[0.9992083,0.00013609929,0.0003148882,0.00000660676,0.000041676874,0.00011701087,0.00009805238,0.000008648669,0.00006874974],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984718,0.00020400957,0.0004893129,0.00021287099,0.0003039037,0.00031810012],"domain_scores_gemma":[0.99905956,0.000145837,0.000103469705,0.0001529433,0.0004760377,0.0000621611],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0067302,0.00006477149,0.00015813847,0.00020058728,0.0001697229,0.000016553287,0.00021815402,0.00009484886,0.00028005536],"category_scores_gemma":[0.00012174235,0.00007103959,0.00007277839,0.00033320478,0.00035038815,0.00042690648,0.0000017037834,0.000103114675,0.0000031855227],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00052929326,0.0002965285,0.85375607,0.000089099005,0.000029035673,5.866081e-7,0.05214965,0.00039956928,0.000048939437,0.052713692,0.000018470644,0.039969068],"study_design_scores_gemma":[0.001045701,0.000037303093,0.96451575,0.00002502225,0.000016380385,1.1264501e-8,0.0031669107,0.0007220555,0.00064318517,0.029189307,0.0005467106,0.000091637805],"about_ca_topic_score_codex":0.011465722,"about_ca_topic_score_gemma":0.057434574,"teacher_disagreement_score":0.110759705,"about_ca_system_score_codex":0.00021729953,"about_ca_system_score_gemma":0.0006558391,"threshold_uncertainty_score":0.995117},"labels":[],"label_agreement":null},{"id":"W2092771348","doi":"10.1080/15389588.2014.952724","title":"Comparative Analysis of Risky Behaviors of Electric Bicycles at Signalized Intersections","year":2014,"lang":"en","type":"article","venue":"Traffic Injury Prevention","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":79,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Southeast University; National Natural Science Foundation of China; University of Lethbridge","keywords":"Transport engineering; Binary logit model; Poison control; Ordered logit; Logistic regression; Data collection; Logit; Engineering; Statistics; Mathematics; Environmental health; Medicine","score_opus":0.024543218816786477,"score_gpt":0.35062387574225573,"score_spread":0.3260806569254693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2092771348","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99677867,0.000037079168,0.0010706594,0.000011533212,0.00008105617,0.00020839772,0.000016987466,0.000042611555,0.0017530087],"genre_scores_gemma":[0.9994155,0.000010233273,0.000066758344,0.0000024586325,0.000022536702,0.000011307499,0.000041222407,0.00000313456,0.00042684848],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986689,0.0003438232,0.00041108922,0.00018179629,0.00025062216,0.00014376444],"domain_scores_gemma":[0.99930316,0.00007616161,0.00031795967,0.00014324904,0.000114505114,0.00004497415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006805225,0.000080968624,0.00035497628,0.0003464924,0.00017425932,0.0000082003235,0.00014974819,0.00007553798,0.00066090724],"category_scores_gemma":[0.000021216436,0.00007953067,0.00032906517,0.001443955,0.00018310061,0.00014298629,0.000009425487,0.00007076428,0.000004102605],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012668753,0.003762434,0.7660548,0.00013129711,0.0026535317,5.600701e-7,0.058237758,0.0042086104,0.1203851,0.002935186,0.00063280336,0.039731048],"study_design_scores_gemma":[0.00043569572,0.00033041625,0.9688492,0.000033821332,0.0029413216,3.4964053e-8,0.0015393421,0.0021647026,0.022665203,0.0004590513,0.0003752811,0.00020592919],"about_ca_topic_score_codex":0.0012340515,"about_ca_topic_score_gemma":0.014227706,"teacher_disagreement_score":0.2027944,"about_ca_system_score_codex":0.00006711677,"about_ca_system_score_gemma":0.000043852255,"threshold_uncertainty_score":0.79393935},"labels":[],"label_agreement":null},{"id":"W2093621450","doi":"10.1016/s0191-2615(01)00039-x","title":"An activity-episode generation model that captures interactions between household heads: development and empirical analysis","year":2002,"lang":"en","type":"article","venue":"Transportation Research Part B Methodological","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":161,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Probit model; Ordered probit; Probit; Econometrics; Work (physics); Time-use survey; Economics; Engineering","score_opus":0.8332459750223914,"score_gpt":0.5672484414671763,"score_spread":0.26599753355521505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2093621450","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89579636,0.00008786196,0.102089286,0.0011692253,0.00004163764,0.00032627577,0.00005255637,0.00012824665,0.00030853692],"genre_scores_gemma":[0.97294873,0.000093388575,0.026020192,0.00008582197,0.0002135115,0.000099535704,0.00016585678,0.0000113854085,0.00036155453],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9946123,0.0027396139,0.00039726525,0.0006820554,0.001016064,0.0005527505],"domain_scores_gemma":[0.9978848,0.0011657475,0.00008922605,0.0002562189,0.00017932424,0.00042465443],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0056605944,0.00017292403,0.00041104679,0.000345284,0.0012598104,0.00016601842,0.00026544728,0.00023981425,0.00057296996],"category_scores_gemma":[0.00020198485,0.00014718957,0.00013372634,0.0010117312,0.0005345419,0.0007012448,0.000006834175,0.0006471724,0.0000064462706],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039026385,0.000287775,0.97153264,0.000011426199,0.00013092977,0.000008593407,0.014649731,0.002348376,0.00039977627,0.0003412833,0.0003637288,0.009886713],"study_design_scores_gemma":[0.00020775625,0.000057224504,0.9788063,0.0000059238537,0.0001639271,6.4825585e-8,0.0010321841,0.012356769,0.0016971732,0.00059790106,0.0048265248,0.0002482236],"about_ca_topic_score_codex":0.0012636482,"about_ca_topic_score_gemma":0.03650187,"teacher_disagreement_score":0.07715238,"about_ca_system_score_codex":0.00010139475,"about_ca_system_score_gemma":0.000085184874,"threshold_uncertainty_score":0.98107946},"labels":[],"label_agreement":null},{"id":"W2093623887","doi":"10.4000/vertigo.11754","title":"La schizophrénie écologique : le cas des déplacements quotidiens à Lyon","year":2012,"lang":"fr","type":"article","venue":"VertigO","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.037598772315700225,"score_gpt":0.3105587048174177,"score_spread":0.27295993250171746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2093623887","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92955273,0.007885433,0.00048012272,0.0010449955,0.0018979749,0.00024375365,0.000022467297,0.00009309974,0.058779433],"genre_scores_gemma":[0.9816461,0.00046490476,0.0011513012,0.00018514457,0.00064125913,0.000018834235,0.000008734763,0.000019674208,0.015864024],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997619,0.0005178765,0.0003078492,0.00030632238,0.00029966357,0.0009493368],"domain_scores_gemma":[0.999017,0.0001762576,0.00010307116,0.00025306913,0.00006799405,0.00038262378],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001116834,0.00021922821,0.0002456444,0.000046893514,0.0006763133,0.00006923901,0.00033359448,0.0003703665,0.0011019629],"category_scores_gemma":[0.00013617238,0.00021656307,0.00015827104,0.00043566464,0.0013370957,0.0011041368,0.00005960773,0.00032780736,0.00039446412],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041366617,0.00064565963,0.9464312,0.000076829514,0.000041852734,0.000012341113,0.011461603,0.0000027436408,0.00013938843,0.031961348,0.0014863065,0.0076993383],"study_design_scores_gemma":[0.00045025063,0.000064678556,0.80037993,0.00007105987,0.00007041831,0.0000016538938,0.0019257768,0.000011236559,0.001122622,0.0038091198,0.19180188,0.00029137713],"about_ca_topic_score_codex":0.0059110173,"about_ca_topic_score_gemma":0.0099317925,"teacher_disagreement_score":0.19031556,"about_ca_system_score_codex":0.00032318567,"about_ca_system_score_gemma":0.0003245846,"threshold_uncertainty_score":0.9998112},"labels":[],"label_agreement":null},{"id":"W2093940655","doi":"10.1016/j.healthplace.2012.09.017","title":"Perceived neighborhood environmental attributes associated with adults’ leisure-time physical activity: Findings from Belgium, Australia and the USA","year":2012,"lang":"en","type":"article","venue":"Health & Place","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":117,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver Community College; University of British Columbia","funders":"National Cancer Institute; National Heart, Lung, and Blood Institute","keywords":"Walkability; Recreation; Psychological intervention; Physical activity; Built environment; Promotion (chess); Leisure time; Level design; Geography; Gerontology; Environmental health; Scale (ratio); Psychology; Medicine; Physical therapy; Political science; Engineering","score_opus":0.028578746570728945,"score_gpt":0.29732940326220375,"score_spread":0.2687506566914748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2093940655","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99618536,0.00011162654,0.000012100821,0.0027343794,0.000084954176,0.00051857234,0.00019188567,0.0000466035,0.00011449812],"genre_scores_gemma":[0.9986242,0.000027951399,0.000020710864,0.00014702264,0.00028048668,0.000019097952,0.00006277689,0.0000120922605,0.000805645],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980395,0.00041261248,0.00015012283,0.00029830055,0.0004476559,0.00065183634],"domain_scores_gemma":[0.9987518,0.0006112818,0.00015100942,0.00015832376,0.000012912379,0.00031463464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078948156,0.00017906274,0.00039367945,0.000016460403,0.0008720022,0.000062752835,0.00017511335,0.000108315646,0.000364741],"category_scores_gemma":[0.000057958037,0.000120818106,0.00006233021,0.0001382146,0.00063401775,0.00050510437,0.000027134278,0.00031436112,0.00006965417],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025996586,0.0003331976,0.9803114,0.000008046521,0.00003485124,8.002956e-7,0.018245758,5.70719e-7,0.000076357945,0.0001409851,0.00026505385,0.00032299367],"study_design_scores_gemma":[0.0013748232,0.00007133548,0.9968244,0.000040839685,0.000042220927,1.9377141e-7,0.00078440754,0.000071508395,0.000037402468,0.00006315354,0.0005344862,0.00015526595],"about_ca_topic_score_codex":0.017867845,"about_ca_topic_score_gemma":0.0071339076,"teacher_disagreement_score":0.01746135,"about_ca_system_score_codex":0.0002501582,"about_ca_system_score_gemma":0.000114708324,"threshold_uncertainty_score":0.98867226},"labels":[],"label_agreement":null},{"id":"W2093975824","doi":"10.1016/j.amepre.2004.06.018","title":"Economic determinants of urban form","year":2004,"lang":"en","type":"article","venue":"American Journal of Preventive Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":89,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Destinations; Investment (military); Business; Transport engineering; Transit (satellite); Land use; Economic impact analysis; Economic cost; Economics; Public transport; Microeconomics; Geography; Tourism; Engineering","score_opus":0.014293899166382903,"score_gpt":0.32753371379925206,"score_spread":0.31323981463286915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2093975824","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958576,0.00024086992,0.0005334855,0.00056691543,0.0003008681,0.00007898655,0.0000028227305,0.00000406533,0.0024144046],"genre_scores_gemma":[0.99887574,0.00009179859,0.00036786415,0.000049458227,0.0004362328,6.4405094e-7,4.0768785e-7,0.000005310495,0.00017256534],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988507,0.000075308,0.0005532194,0.0000905611,0.0002599928,0.0001702412],"domain_scores_gemma":[0.99863255,0.000074350675,0.00093575154,0.00009501705,0.00012487636,0.00013744133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009946716,0.00007732517,0.0004338543,0.00010128142,0.00007115251,0.0000038283906,0.0002880996,0.000019133315,0.00025931495],"category_scores_gemma":[0.00010216685,0.00005685166,0.00011950962,0.00016504248,0.0014272617,0.00023676759,0.0000094018405,0.00011086894,0.0000031053019],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008301303,0.00008930356,0.9396042,0.000011261457,0.000049608876,0.000020294228,0.017073316,0.0000036897297,0.00015401212,0.0005109008,0.00015308257,0.042247266],"study_design_scores_gemma":[0.001893567,0.0020167455,0.96223205,0.00050763605,0.00017304198,0.00000770131,0.017847156,0.000001102872,0.0016073538,0.010427116,0.0031306231,0.0001558788],"about_ca_topic_score_codex":0.003012302,"about_ca_topic_score_gemma":0.0021749672,"teacher_disagreement_score":0.04209139,"about_ca_system_score_codex":0.00014038115,"about_ca_system_score_gemma":0.00034115853,"threshold_uncertainty_score":0.5258805},"labels":[],"label_agreement":null},{"id":"W2094359110","doi":"10.3141/2010-10","title":"Impact of Carpooling on Trip-Chaining Behavior and Emission Reductions","year":2007,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"McMaster University","keywords":"Carpool; Chaining; Transport engineering; Traffic congestion; TRIPS architecture; Telecommuting; Computer science; Engineering; Psychology; Work (physics)","score_opus":0.1424874248171744,"score_gpt":0.4854327007245773,"score_spread":0.34294527590740287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2094359110","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968308,0.0001972641,0.00036257348,0.00075949955,0.00038777708,0.0008372273,0.00004426098,0.000021665724,0.00055890967],"genre_scores_gemma":[0.9980795,0.0005256016,0.0005383142,0.000007889846,0.00027944826,0.000017606486,0.000008833751,0.000030187577,0.0005126408],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99293417,0.0008874944,0.0014067091,0.00036548197,0.0035158764,0.0008902837],"domain_scores_gemma":[0.9942135,0.001256516,0.00054073305,0.00034169367,0.0030673884,0.00058014836],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010780812,0.00019928592,0.00042889785,0.0011293105,0.0012926469,0.0000903279,0.0007110323,0.00023974421,0.00026930083],"category_scores_gemma":[0.00037654027,0.00014611964,0.0004920542,0.0022457908,0.0013898495,0.0006297066,0.0000041801563,0.0019095963,0.0000021426667],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015007189,0.00037140906,0.96646124,0.000066428416,0.00007890263,0.000056285546,0.012017774,0.00012622563,0.0055895336,0.0011436555,0.00041839946,0.012169402],"study_design_scores_gemma":[0.0009197513,0.0006773219,0.9869856,0.00029218875,0.00006126817,1.7471906e-7,0.007131215,0.0000072359385,0.0014874901,0.0011769532,0.0011261806,0.00013457795],"about_ca_topic_score_codex":0.041844722,"about_ca_topic_score_gemma":0.05553502,"teacher_disagreement_score":0.020524377,"about_ca_system_score_codex":0.00036467734,"about_ca_system_score_gemma":0.0010880036,"threshold_uncertainty_score":0.99421257},"labels":[],"label_agreement":null},{"id":"W2094552861","doi":"10.1097/00001648-200611001-01218","title":"Comparison of Time-Activity Patterns in Different Periods in Tianjin, China","year":2006,"lang":"en","type":"article","venue":"Epidemiology","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Demography; China; Statistic; Medicine; Environmental health; Toxicology; Geography; Statistics; Biology","score_opus":0.056107960735578076,"score_gpt":0.4009073134105967,"score_spread":0.34479935267501866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2094552861","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99493915,0.00013863723,0.00030280417,0.0015651891,0.00012723681,0.0001467838,0.000011264446,0.000018031711,0.0027509104],"genre_scores_gemma":[0.9995514,0.000006046771,0.000045905806,0.00003566215,0.00011641772,0.000008482371,0.000019106532,0.0000040674554,0.00021291137],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978606,0.00096169516,0.0005166972,0.00024346115,0.000077702396,0.0003398582],"domain_scores_gemma":[0.9990671,0.0005613938,0.00017525861,0.00014557027,0.0000113208835,0.000039343722],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014576055,0.00009781626,0.0006349254,0.00007508778,0.000051621457,0.0000028497498,0.00018160623,0.00015856003,0.00043926772],"category_scores_gemma":[0.00029540074,0.00008223543,0.000073134106,0.00014836225,0.00024397131,0.00007635179,0.000019653218,0.00020828063,0.000008937676],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021195548,0.00027499296,0.9969982,0.000011530001,0.0000018431687,0.0000014314088,0.0011402287,0.000055576227,0.00017741357,0.0002906951,0.00018743218,0.00083948404],"study_design_scores_gemma":[0.00018571541,0.000025293011,0.9952745,0.000014457512,0.000002665741,2.8245045e-8,0.0000835088,0.00042751885,0.000081892416,0.0035781597,0.00024882733,0.00007745637],"about_ca_topic_score_codex":0.06270771,"about_ca_topic_score_gemma":0.12220711,"teacher_disagreement_score":0.05949941,"about_ca_system_score_codex":0.000085618514,"about_ca_system_score_gemma":0.00003615864,"threshold_uncertainty_score":0.9435338},"labels":[],"label_agreement":null},{"id":"W2095019248","doi":"10.1016/j.healthplace.2011.04.010","title":"“Walkable by Willpower”: Resident perceptions of neighbourhood environments","year":2011,"lang":"en","type":"article","venue":"Health & Place","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health Sciences Centre; Dalhousie University; University of Alberta","funders":"Canadian Institutes of Health Research; Heart and Stroke Foundation of Canada","keywords":"Walkability; Neighbourhood (mathematics); Perception; Psychology; Built environment; Food choice; Community design; Physical activity; Geography; Environmental health; Transport engineering; Applied psychology; Social psychology; Medicine; Computer science; Ecology; Engineering; Physical medicine and rehabilitation","score_opus":0.026313799567373824,"score_gpt":0.30500794922030744,"score_spread":0.2786941496529336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2095019248","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95141894,0.0008807184,0.0008485982,0.0014925959,0.00023943496,0.00042927393,0.000058044196,0.000050859704,0.04458153],"genre_scores_gemma":[0.99182653,0.00042612207,0.00038965998,0.0003682852,0.000045229644,0.000010101333,0.000012552234,0.000008023141,0.006913492],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99866605,0.00014452382,0.00029902236,0.00021659757,0.00031414963,0.00035968635],"domain_scores_gemma":[0.99935955,0.00003642117,0.00014858376,0.00021277301,0.000013949149,0.00022870801],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006380133,0.0000811839,0.00016708308,0.000028638746,0.00039458816,0.000009585328,0.00021024056,0.00007190381,0.005254784],"category_scores_gemma":[0.000023371327,0.00008063485,0.000050325558,0.00012397747,0.00021299893,0.00020407396,0.000015617563,0.00011394541,0.00008173238],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054745273,0.00044226611,0.9139481,0.000060585877,0.00001306091,0.0000017246408,0.05734085,0.0000011891731,0.00022184227,0.0018361994,0.02416867,0.0019107303],"study_design_scores_gemma":[0.00033973227,0.00013258001,0.9270016,0.000037555514,0.000011870357,1.6572048e-7,0.007812538,0.000003235265,0.0001992469,0.0010511776,0.06325085,0.00015944926],"about_ca_topic_score_codex":0.029633425,"about_ca_topic_score_gemma":0.006609417,"teacher_disagreement_score":0.04952831,"about_ca_system_score_codex":0.00014334901,"about_ca_system_score_gemma":0.00025141233,"threshold_uncertainty_score":0.9956545},"labels":[],"label_agreement":null},{"id":"W2095031527","doi":"10.2495/sdp-v4-n1-70-83","title":"Measuring space–time accessibility to urban opportunities: a study on demand for and supply of activities performed by university teachers and students of Khulna City","year":2009,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Supply and demand; Space (punctuation); Transport engineering; Business; Computer science; Engineering; Economics; Microeconomics","score_opus":0.045423906298100405,"score_gpt":0.3117968865443746,"score_spread":0.2663729802462742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2095031527","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99894387,0.000101227866,0.00016029803,0.00019964972,0.000035030225,0.00026447678,0.000008721649,0.000003882615,0.00028284412],"genre_scores_gemma":[0.9989671,0.00001887548,0.00025265742,0.000017856291,0.00002718147,7.796393e-7,0.0000025666943,0.0000024910555,0.00071049953],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989242,0.000055616907,0.00027721887,0.000127129,0.00046618117,0.00014964258],"domain_scores_gemma":[0.99910253,0.00014810826,0.00025033535,0.000033221535,0.0003568512,0.000108924156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014593331,0.000088884684,0.00021738687,0.00021311679,0.00020925382,0.000072034425,0.00021337451,0.000037789858,0.000007472119],"category_scores_gemma":[0.00011938456,0.00008340905,0.000025114172,0.000070772105,0.00008393479,0.0005299366,0.000040242685,0.00008521089,1.1923803e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00062929903,0.00019428066,0.89417636,0.000025955684,0.000110212466,0.000038248236,0.102370225,0.0000038593516,0.00008264782,0.000075173484,0.000107988686,0.0021857515],"study_design_scores_gemma":[0.000847678,0.00022281922,0.78875375,0.0000949443,0.000023521594,5.8910615e-7,0.20854537,0.0000026911346,0.000577473,0.0001409783,0.000709672,0.00008051765],"about_ca_topic_score_codex":0.000117984346,"about_ca_topic_score_gemma":0.00002067707,"teacher_disagreement_score":0.10617515,"about_ca_system_score_codex":0.00013709288,"about_ca_system_score_gemma":0.00023184913,"threshold_uncertainty_score":0.34013224},"labels":[],"label_agreement":null},{"id":"W2095050634","doi":"10.1016/j.jsams.2012.11.077","title":"An objective index of walkability for the Sydney metropolitan region","year":2012,"lang":"en","type":"article","venue":"Journal of science and medicine in sport","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Transport Canada","funders":"","keywords":"Walkability; Metropolitan area; Pedestrian; Transport engineering; Geography; Index (typography); Geographic information system; Environmental planning; Built environment; Regional science; Civil engineering; Computer science; Cartography; Engineering; World Wide Web","score_opus":0.03414618424822889,"score_gpt":0.37307303926790947,"score_spread":0.33892685501968056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2095050634","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995146,0.0005628659,0.0002884507,0.0017189671,0.00046854548,0.00017408525,4.96072e-7,0.000002205594,0.0016383929],"genre_scores_gemma":[0.9991745,0.000107886386,0.000076959965,0.000112744776,0.00049811177,0.0000016251535,1.0801217e-7,0.0000017935286,0.000026304688],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99852455,0.000024053568,0.0003934131,0.000099988654,0.0007082339,0.0002497886],"domain_scores_gemma":[0.9986422,0.00014454544,0.00031051494,0.00012545804,0.00056393095,0.00021334305],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.01045734,0.000054387547,0.00022104275,0.00016268788,0.00026682875,0.00000875313,0.00035312434,0.00003746945,0.000014327462],"category_scores_gemma":[0.0007769352,0.000029002193,0.00003646168,0.00069951906,0.0041674622,0.0010364058,0.000008358557,0.00013207174,3.608355e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052485644,0.00007465562,0.9830781,0.000008712317,0.0000026703583,0.0000010160637,0.011815728,4.5265725e-7,0.00018445839,0.002251654,0.000060105176,0.002469933],"study_design_scores_gemma":[0.0002624191,0.0001687785,0.93891287,0.000040002662,0.000023419676,0.000003002926,0.05678748,0.000012275471,0.00018743535,0.002485892,0.0010821335,0.00003430631],"about_ca_topic_score_codex":0.003802032,"about_ca_topic_score_gemma":0.0007744491,"teacher_disagreement_score":0.044971753,"about_ca_system_score_codex":0.0001497435,"about_ca_system_score_gemma":0.00053999614,"threshold_uncertainty_score":0.9985426},"labels":[],"label_agreement":null},{"id":"W2095284030","doi":"10.3141/2417-08","title":"Determinants of Mode Share over Time","year":2014,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University; Espace pour la vie","funders":"University of Toronto","keywords":"Public transport; Mode choice; Transport engineering; Transit (satellite); Equity (law); Business; Disadvantage; Disadvantaged; Mode (computer interface); Public economics; Economics; Economic growth; Engineering; Computer science; Political science","score_opus":0.08510412590062552,"score_gpt":0.43314931842943927,"score_spread":0.3480451925288137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2095284030","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963044,0.00009713416,0.0002700441,0.001063569,0.00035166703,0.0007314366,0.00010603158,0.000025441825,0.0010502564],"genre_scores_gemma":[0.99709076,0.0002458636,0.00057486765,0.000031869917,0.00029045678,0.000024820463,0.000013455123,0.0000384718,0.0016894549],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99006,0.0020219842,0.0016062012,0.0003977949,0.0049544508,0.0009596236],"domain_scores_gemma":[0.9931564,0.0013074126,0.0006603404,0.00053261255,0.0038748467,0.00046839713],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008228828,0.00021473819,0.0005865049,0.00073264993,0.0009372156,0.00011088781,0.001721899,0.0002583802,0.0016623647],"category_scores_gemma":[0.00047614245,0.00016468369,0.00051747024,0.0020576701,0.0015393547,0.00096317084,0.000006660098,0.0015176772,0.000031445823],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006932174,0.0002530249,0.97983617,0.00019461861,0.000048442587,0.000021100139,0.006402789,0.0001351777,0.0018738498,0.001723131,0.0025424517,0.006276041],"study_design_scores_gemma":[0.0009975671,0.0003105333,0.9757198,0.0003503646,0.000044715616,4.250973e-8,0.0010131011,0.00019307234,0.0018127741,0.0061816596,0.013205885,0.00017046004],"about_ca_topic_score_codex":0.037379704,"about_ca_topic_score_gemma":0.18770227,"teacher_disagreement_score":0.15032256,"about_ca_system_score_codex":0.0001874155,"about_ca_system_score_gemma":0.0009675647,"threshold_uncertainty_score":0.99925023},"labels":[],"label_agreement":null},{"id":"W2095416247","doi":"10.1080/08964289.2011.571305","title":"Does Race or Sex Moderate the Perceived Built Environment/Physical Activity Relationship in College Students?","year":2011,"lang":"en","type":"article","venue":"Behavioral Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Psychology; Race (biology); Physical activity; Built environment; Neighbourhood (mathematics); Gerontology; Social psychology; Demography; Clinical psychology; Medicine; Physical therapy","score_opus":0.1355088950569188,"score_gpt":0.39591975792675954,"score_spread":0.2604108628698407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2095416247","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966211,0.00001095256,0.000024327017,0.0017092469,0.00017865564,0.00054183445,0.000011723549,0.000038470225,0.0008636969],"genre_scores_gemma":[0.9934367,0.000015729456,0.000046032186,0.00004360503,0.0002026254,0.000054900713,0.0000035817595,0.000009367045,0.006187441],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99841887,0.00027364798,0.00018196274,0.000288909,0.00056673103,0.00026988264],"domain_scores_gemma":[0.99937975,0.00013856568,0.00007810081,0.00027209698,0.000018306642,0.00011318825],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006659868,0.00013296946,0.00024100201,0.000040208324,0.00039575255,0.000014966546,0.00040642652,0.00008547426,0.0009284824],"category_scores_gemma":[0.0000514898,0.00006110367,0.000043449512,0.00021345263,0.00073559117,0.00027892424,0.00003727743,0.00029544815,0.000016548644],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014667492,0.00072121725,0.95210856,0.000003220936,0.000003308677,0.000025472482,0.045685325,5.868878e-7,0.00019162927,0.0001439133,0.00007417494,0.0008959217],"study_design_scores_gemma":[0.0005866364,0.0000958216,0.9889019,0.000020783637,0.00006100012,1.2661506e-7,0.00888736,0.00001842893,0.0000748598,0.0008878547,0.00036101375,0.000104229395],"about_ca_topic_score_codex":0.011671556,"about_ca_topic_score_gemma":0.01336364,"teacher_disagreement_score":0.036797963,"about_ca_system_score_codex":0.00010912043,"about_ca_system_score_gemma":0.00006425024,"threshold_uncertainty_score":0.9999848},"labels":[],"label_agreement":null},{"id":"W2095528606","doi":"10.1007/s11116-010-9292-y","title":"Impact of different criteria for identifying intra-household interactions: a case study of household time allocation","year":2010,"lang":"en","type":"article","venue":"Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Flexibility (engineering); Time allocation; Identification (biology); Time-use survey; Joint (building); Computer science; Scale (ratio); Set (abstract data type); Econometrics; Travel behavior; Operations research; Economics; Transport engineering; Geography; Engineering; Statistics; Mathematics","score_opus":0.08211768976807302,"score_gpt":0.3927153944566163,"score_spread":0.3105977046885433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2095528606","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99738944,0.000006113235,0.0011802611,0.000018147635,0.00026883517,0.00092206645,0.00011269128,0.00006168974,0.000040752493],"genre_scores_gemma":[0.9995302,0.0000025422205,0.00018851872,0.000002811476,0.000079933394,0.00005780038,0.00008357789,0.000016409203,0.000038197995],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998815,0.000050890834,0.0005382356,0.00021204418,0.00022752317,0.0001562957],"domain_scores_gemma":[0.9991781,0.000107466076,0.00028139833,0.00019428559,0.0001718372,0.0000668956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003587083,0.000116651725,0.00023364858,0.00011894714,0.0001667965,0.000029386687,0.00013184127,0.00007105599,0.00016202357],"category_scores_gemma":[0.000026400669,0.00010608255,0.00015625192,0.00020864938,0.00009045438,0.0005016623,0.0000012465911,0.00012242906,4.774598e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002434206,0.0023968054,0.7985204,0.00014540218,0.00012908391,0.00002003199,0.07230315,0.00011014997,0.12416298,0.00021082647,0.000053763128,0.0017039756],"study_design_scores_gemma":[0.00091151486,0.000251543,0.9886082,0.000029760482,0.00019459844,0.0000011895401,0.006487959,0.00014184178,0.0028143516,0.00040835707,0.0000100621255,0.00014061786],"about_ca_topic_score_codex":0.015467563,"about_ca_topic_score_gemma":0.08525742,"teacher_disagreement_score":0.1900878,"about_ca_system_score_codex":0.00003550072,"about_ca_system_score_gemma":0.000072149385,"threshold_uncertainty_score":0.9910885},"labels":[],"label_agreement":null},{"id":"W2096181753","doi":"10.1123/jpah.7.s1.s48","title":"Developer and Realtor Perspectives on Factors That Influence Development, Sale, and Perceived Demand for Activity-Friendly Communities","year":2010,"lang":"en","type":"article","venue":"Journal of Physical Activity and Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver Community College; University of British Columbia","funders":"National Center for Chronic Disease Prevention and Health Promotion; U.S. Public Health Service; Centers for Disease Control and Prevention; National Institute of Diabetes and Digestive and Kidney Diseases; Robert Wood Johnson Foundation","keywords":"Incentive; Government (linguistics); Business; Quality (philosophy); Politics; Marketing; Public economics; Economics; Political science","score_opus":0.055718336489761926,"score_gpt":0.36556702509235595,"score_spread":0.309848688602594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096181753","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979253,0.000058494825,0.00010371522,0.0015205358,0.000056698245,0.00021230166,0.000010406331,0.000010886563,0.000101651545],"genre_scores_gemma":[0.99912727,0.00021156842,0.000450582,0.000060770257,0.000115561925,0.0000033369863,6.2461845e-7,0.0000073240117,0.000022979457],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990744,0.00013237161,0.00013972745,0.00015729,0.00024239892,0.0002538388],"domain_scores_gemma":[0.9987335,0.0005349522,0.00026237476,0.00007516634,0.00011553696,0.00027847677],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007739934,0.00014016623,0.00036910814,0.0000693582,0.0011460808,0.00010602273,0.000113711474,0.00007492867,0.00000480022],"category_scores_gemma":[0.00007276574,0.00010549227,0.000047029505,0.00007093064,0.0005425485,0.0008502957,0.000025317879,0.0005303619,1.2922425e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004237556,0.00096746336,0.6816553,0.00025790985,0.000061105515,0.0000014070897,0.2708678,9.397268e-7,0.0029336112,0.0028605429,0.000025302566,0.03994488],"study_design_scores_gemma":[0.0003725319,0.00031964525,0.9827929,0.0000485888,0.000011859704,0.0000010414543,0.01459439,0.000010907001,0.00041685344,0.0004895248,0.0008215346,0.00012022602],"about_ca_topic_score_codex":0.0020860743,"about_ca_topic_score_gemma":0.0109838005,"teacher_disagreement_score":0.30113763,"about_ca_system_score_codex":0.000067129484,"about_ca_system_score_gemma":0.00045329687,"threshold_uncertainty_score":0.88148427},"labels":[],"label_agreement":null},{"id":"W2096249510","doi":"10.1007/s12160-008-9021-3","title":"Associations of Perceived Community Environmental Attributes with Walking in a Population-Based Sample of Adults with Type 2 Diabetes","year":2008,"lang":"en","type":"article","venue":"Annals of Behavioral Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Health and Medical Research Council; Medical Research Council; Alberta Heritage Foundation for Medical Research; Fondation pour la Recherche Médicale; Queensland Health","keywords":"Recreation; Logistic regression; Type 2 diabetes; Walkability; Gerontology; Population; Demography; Environmental health; Health psychology; Psychology; Medicine; Physical activity; Diabetes mellitus; Public health; Physical medicine and rehabilitation; Ecology","score_opus":0.11216363316704239,"score_gpt":0.3541360649210479,"score_spread":0.24197243175400548,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096249510","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99936754,0.000082904975,0.0000033416159,0.00018189866,0.000012848516,0.00017985536,0.0001295317,0.000008141604,0.00003392114],"genre_scores_gemma":[0.99941766,0.00001897604,0.00020001015,0.000027022816,0.000012123905,0.0000036168633,0.00031147932,0.000005255372,0.0000038463168],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988947,0.00015167226,0.0003262305,0.00008732872,0.0003914005,0.0001486839],"domain_scores_gemma":[0.99914706,0.00026051674,0.00027666477,0.00014473106,0.00012138619,0.00004961902],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043463614,0.000077698365,0.00032674416,0.00007885838,0.00014187746,0.0000011361062,0.0001339146,0.000051164105,0.00012295134],"category_scores_gemma":[0.00008314083,0.00005841631,0.00002982979,0.00031203197,0.00056757336,0.00011790997,0.0000067286333,0.00012136176,1.09754055e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007336291,0.00045431245,0.9866022,0.000017146082,0.0000072778885,8.038948e-7,0.011845299,0.000009259733,0.0006859591,0.000004367161,0.0000067832993,0.0002932566],"study_design_scores_gemma":[0.0006122696,0.0006859715,0.9939681,0.00023016744,0.0000334364,2.4280085e-8,0.0035079492,0.000005034603,0.00085897744,0.000033756594,0.0000032814835,0.000060978724],"about_ca_topic_score_codex":0.08784645,"about_ca_topic_score_gemma":0.030703336,"teacher_disagreement_score":0.057143115,"about_ca_system_score_codex":0.000025878753,"about_ca_system_score_gemma":0.000067584064,"threshold_uncertainty_score":0.9869838},"labels":[],"label_agreement":null},{"id":"W2096270044","doi":"","title":"Change in Travel Behavior of the Elderly in Seoul Metropolitan Area","year":2011,"lang":"en","type":"article","venue":"대한지리학회지 = Journal of the Korean Geographical Society","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Quarter (Canadian coin); Travel behavior; Geography; Population ageing; Population; Elderly people; Scale (ratio); Gerontology; Socioeconomics; Demography; Transport engineering; Medicine; Sociology; Cartography; Engineering","score_opus":0.04984086962585964,"score_gpt":0.2911823804835672,"score_spread":0.24134151085770755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096270044","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995875,0.00035635347,0.000008404568,0.0013731101,0.00031619778,0.0003278932,0.000012949339,0.000005608933,0.0017244715],"genre_scores_gemma":[0.99934345,0.00014903281,0.00018203181,0.00015019784,0.00012286786,0.000008338718,3.4896806e-7,0.000008475095,0.000035266472],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99767834,0.00034132987,0.00068062835,0.00017211554,0.00070673553,0.0004208333],"domain_scores_gemma":[0.9988705,0.00008471561,0.00046817432,0.00029974844,0.00014545761,0.00013141829],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002066728,0.00015128535,0.0003659669,0.00008487403,0.00023711695,0.000021890108,0.0012305864,0.0002290167,0.00014106218],"category_scores_gemma":[0.00008353113,0.00008468953,0.0010406894,0.0014885893,0.0012068106,0.00026597644,0.00006802039,0.00082650443,2.845001e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025448213,0.00043371093,0.98212814,0.000010573793,0.000023203318,0.000004161509,0.014573471,1.3315828e-7,0.000078172074,0.0014237423,0.00004790848,0.0012513147],"study_design_scores_gemma":[0.00047510045,0.00009539212,0.98392355,0.000089220026,0.000075135504,0.000001757838,0.008196301,0.0000035975827,0.00028109932,0.0066682855,0.00008862321,0.00010195712],"about_ca_topic_score_codex":0.0174391,"about_ca_topic_score_gemma":0.016055347,"teacher_disagreement_score":0.0063771703,"about_ca_system_score_codex":0.0001573706,"about_ca_system_score_gemma":0.00013316715,"threshold_uncertainty_score":0.98910385},"labels":[],"label_agreement":null},{"id":"W2096436464","doi":"10.5198/jtlu.v7i1.377","title":"Does travel behavior matter in defining urban form? A quantitative analysis characterizing distinct areas within a region","year":2014,"lang":"en","type":"article","venue":"Journal of Transport and Land Use","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Census; Land use; Built environment; Travel behavior; Census tract; Geography; Variables; Econometrics; Aggregate (composite); Variable (mathematics); Transport engineering; Regional science; Statistics; Civil engineering; Engineering; Sociology; Economics; Mathematics; Population; Demography","score_opus":0.02785677939929994,"score_gpt":0.2867559325807965,"score_spread":0.2588991531814966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096436464","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981702,0.00004382634,0.0010698802,0.0003529191,0.00012067142,0.00008715299,0.0000134824795,0.0000064845312,0.00013540083],"genre_scores_gemma":[0.9992618,0.00003080837,0.00040386693,0.00006957653,0.00007344062,0.0000030776362,0.0000140061375,0.000007570912,0.00013583047],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99872875,0.00009614455,0.00055733375,0.00016459747,0.0002473367,0.00020581705],"domain_scores_gemma":[0.9992466,0.00009725761,0.00035704797,0.000085294756,0.00007750741,0.00013631713],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010022669,0.00012192128,0.00042165405,0.00023514162,0.00015620678,0.00007573102,0.00012274738,0.000083100116,0.00004765486],"category_scores_gemma":[0.000025861122,0.00007230242,0.0001894968,0.0003310652,0.00011662717,0.00073212595,0.0000026009607,0.00021702025,6.041366e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013087774,0.00008628702,0.9845798,0.000017664133,0.000061018658,0.00005956603,0.014675724,0.0000015468313,0.000028491444,0.00011824774,0.0000052262126,0.00023553665],"study_design_scores_gemma":[0.0004793687,0.000053363707,0.99733645,0.000082029524,0.00052714336,0.0000018358047,0.0008113013,0.000026096166,0.000012080386,0.00015986069,0.00038262093,0.00012782545],"about_ca_topic_score_codex":0.0023516885,"about_ca_topic_score_gemma":0.02986085,"teacher_disagreement_score":0.027509162,"about_ca_system_score_codex":0.000023876533,"about_ca_system_score_gemma":0.000047659792,"threshold_uncertainty_score":0.98784167},"labels":[],"label_agreement":null},{"id":"W2096462829","doi":"10.1123/jpah.10.8.1128","title":"Exploring the Barriers and Facilitators to Children’s Active Transportation to and From School From the Perspectives of Practitioners","year":2013,"lang":"en","type":"article","venue":"Journal of Physical Activity and Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Intrapersonal communication; Government (linguistics); Focus group; Public relations; Community organizing; Psychology; Nursing; Sociology; Political science; Business; Medicine; Interpersonal communication; Marketing; Social psychology","score_opus":0.042655380539867234,"score_gpt":0.3275430419909349,"score_spread":0.2848876614510677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096462829","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9765204,0.00009025363,0.00011352854,0.022840038,0.000036968442,0.00029322453,0.00008414214,0.000003670479,0.000017771881],"genre_scores_gemma":[0.99931556,0.00016564202,0.00008589613,0.00019087284,0.00022720019,0.000008400033,8.378114e-7,0.0000029535208,0.0000026632697],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99920565,0.00015121902,0.00013783273,0.0001395409,0.00024268424,0.00012305858],"domain_scores_gemma":[0.9989974,0.00035549907,0.0001696288,0.00006198831,0.000083511084,0.0003320053],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032240045,0.000073033414,0.00020512052,0.000025409814,0.0004197598,0.00005333068,0.000083181985,0.000019108858,0.000022636563],"category_scores_gemma":[0.000114209935,0.000043197375,0.000045937933,0.000116450654,0.00019736637,0.001062893,0.00000672972,0.00024120059,5.822945e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002743289,0.00018744118,0.40523008,0.000013222323,0.00012708122,4.031474e-7,0.5341871,0.000013808123,0.0020196487,0.0006293902,0.00018404007,0.057133485],"study_design_scores_gemma":[0.0001406161,0.00013616405,0.92475915,0.000030449295,0.000019363562,5.3302095e-8,0.07288623,0.00000299462,0.00027838335,0.0016348213,0.0000673959,0.00004439494],"about_ca_topic_score_codex":0.04390322,"about_ca_topic_score_gemma":0.0052323015,"teacher_disagreement_score":0.51952904,"about_ca_system_score_codex":0.00005911347,"about_ca_system_score_gemma":0.00015629732,"threshold_uncertainty_score":0.9624635},"labels":[],"label_agreement":null},{"id":"W2097023452","doi":"10.1080/00420980601176055","title":"Smart Growth and Development Reality: The Difficult Co-ordination of Land Use and Transport Objectives","year":2007,"lang":"en","type":"article","venue":"Urban Studies","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":104,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Metropolitan area; Smart growth; Public transport; Neighbourhood (mathematics); Economic geography; Land use; Business; Intervention (counseling); Economic growth; Regional science; Transport engineering; Economics; Geography; Engineering","score_opus":0.0591966493512645,"score_gpt":0.3270179225065642,"score_spread":0.2678212731552997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2097023452","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99587137,0.0017735837,0.00010054828,0.00035343852,0.00005053424,0.00019356044,0.000007782358,0.0000242907,0.0016249204],"genre_scores_gemma":[0.9991787,0.000404555,0.00010694382,0.000028454306,0.00004357422,0.0000052529213,0.000004521065,0.0000034293462,0.00022454315],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992111,0.000043161275,0.00021114691,0.00016747115,0.00021057237,0.00015658682],"domain_scores_gemma":[0.99940044,0.00028153203,0.00007327614,0.00006173123,0.00014245565,0.000040576746],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008225998,0.000085138294,0.0001710116,0.00003342278,0.00049553876,0.000019468616,0.00005917607,0.0000381568,0.0000026386385],"category_scores_gemma":[0.00012158745,0.000054838372,0.000018220673,0.00013633813,0.00069407467,0.00019190159,0.000011596873,0.000056088884,1.8770102e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021405473,0.000028922756,0.9402299,0.000034464436,0.000059025326,0.0000012861918,0.0576529,3.3535386e-8,0.000029204353,0.0006293155,0.000109771245,0.0012037765],"study_design_scores_gemma":[0.00017494216,0.000013826346,0.98528427,0.000017040227,0.00002542845,1.043852e-7,0.010311991,1.3516512e-7,0.0005254983,0.00025790176,0.0033154816,0.000073375355],"about_ca_topic_score_codex":0.0012685907,"about_ca_topic_score_gemma":0.015445135,"teacher_disagreement_score":0.04734091,"about_ca_system_score_codex":0.000023216264,"about_ca_system_score_gemma":0.000038632705,"threshold_uncertainty_score":0.86187476},"labels":[],"label_agreement":null},{"id":"W2097336864","doi":"10.3945/ajcn.112.036392","title":"Does transportation mode modify associations between distance to food store, fruit and vegetable consumption, and BMI in low-income neighborhoods?","year":2012,"lang":"en","type":"article","venue":"American Journal of Clinical Nutrition","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":68,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre Hospitalier de l’Université de Montréal","funders":"National Institute of Environmental Health Sciences; Canadian Institutes of Health Research; Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute for Health and Care Research","keywords":"Consumption (sociology); Environmental health; Food consumption; Low income; Business; Agricultural economics; Food science; Medicine; Economics; Socioeconomics; Biology","score_opus":0.0469992335318014,"score_gpt":0.3869020978805097,"score_spread":0.3399028643487083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2097336864","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99492675,0.00028722425,0.002612411,0.0015760122,0.00019795306,0.00022501957,0.000130742,0.000010914983,0.000032947337],"genre_scores_gemma":[0.9971857,0.0005673995,0.0016191744,0.00010915945,0.00048195865,0.000007144574,0.000014728267,0.000007208197,0.0000075057815],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99805164,0.00026639097,0.00095524965,0.00015861758,0.00031654222,0.00025156446],"domain_scores_gemma":[0.9982016,0.0006345783,0.000582905,0.00007412734,0.00015267653,0.0003541119],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015596515,0.000093544106,0.0004884346,0.00009238386,0.00014872136,0.000041977968,0.000105583094,0.00008722624,0.000012499943],"category_scores_gemma":[0.00027111795,0.00007341434,0.000089933164,0.00027674178,0.00037766926,0.000809618,0.0000042511356,0.0002795978,0.000001033835],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007759088,0.00023944015,0.99339867,0.000022696951,0.00002258083,7.216268e-7,0.0014449044,0.0000032523567,0.00000606803,0.00042444415,0.000010863633,0.004348788],"study_design_scores_gemma":[0.0008449479,0.0002108298,0.993585,0.00013450072,0.000055623543,1.0573317e-7,0.0005684754,0.000006351252,0.0000133686135,0.0039566746,0.0005164926,0.000107615124],"about_ca_topic_score_codex":0.0004338449,"about_ca_topic_score_gemma":0.002858056,"teacher_disagreement_score":0.0042411727,"about_ca_system_score_codex":0.00006715611,"about_ca_system_score_gemma":0.000063795625,"threshold_uncertainty_score":0.299375},"labels":[],"label_agreement":null},{"id":"W2097611277","doi":"10.3141/2002-01","title":"How Many Steps Do you Have in Reserve?","year":2007,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institut National de Santé Publique du Québec; Université de Sherbrooke; Polytechnique Montréal","funders":"Centers for Disease Control and Prevention","keywords":"TRIPS architecture; Population; Kilometer; Transport engineering; Geography; Travel behavior; Scale (ratio); Mode choice; Public transport; Demography; Engineering; Cartography","score_opus":0.11955353260476276,"score_gpt":0.4281960536149378,"score_spread":0.30864252101017503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2097611277","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97973734,0.0005258643,0.0010774869,0.014595206,0.00066561025,0.0012986487,0.00004194196,0.000034847286,0.0020230245],"genre_scores_gemma":[0.9931766,0.0008585297,0.0008591129,0.00003974681,0.0005938006,0.00003420012,0.000012681853,0.000051856863,0.004373473],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98687917,0.0020619752,0.0016471684,0.00062308396,0.0069130217,0.0018755555],"domain_scores_gemma":[0.9922582,0.0016064964,0.00056194526,0.00065650366,0.00417766,0.00073918555],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.025092507,0.00029446397,0.0005824342,0.0017943478,0.0012801915,0.00047964943,0.0022041628,0.0004068903,0.00046856675],"category_scores_gemma":[0.00061846594,0.00023402179,0.0005335984,0.0039682235,0.0018248218,0.0017934666,0.000009098335,0.003645358,0.000013567286],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014000796,0.0002621572,0.96907645,0.0001351525,0.00005163898,0.00034436234,0.011599211,0.00004949093,0.00053074094,0.0062080612,0.0014771192,0.0088655185],"study_design_scores_gemma":[0.0014670157,0.00021598756,0.9089064,0.00030453803,0.000024923596,9.806003e-8,0.023536835,0.000009373432,0.0006258159,0.008645461,0.056038983,0.00022457384],"about_ca_topic_score_codex":0.057908453,"about_ca_topic_score_gemma":0.6821768,"teacher_disagreement_score":0.6242684,"about_ca_system_score_codex":0.0006667605,"about_ca_system_score_gemma":0.0012396027,"threshold_uncertainty_score":0.9986533},"labels":[],"label_agreement":null},{"id":"W2097656138","doi":"10.1186/1479-5868-2-12","title":"Gender differences in perceived environmental correlates of physical activity","year":2005,"lang":"en","type":"article","venue":"International Journal of Behavioral Nutrition and Physical Activity","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":163,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Neighbourhood (mathematics); Residence; Physical activity; Demography; Gerontology; Perception; Built environment; Logistic regression; Level design; Medicine; Psychology; Geography; Social psychology; Sociology; Physical therapy","score_opus":0.04647052342062931,"score_gpt":0.3459999953609222,"score_spread":0.2995294719402929,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2097656138","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992341,0.000021460643,0.000028031427,0.00036925776,0.00011068862,0.00008866396,0.00004059042,0.0000053603144,0.00010183959],"genre_scores_gemma":[0.9994165,0.00005651045,0.000036288748,0.0000069761345,0.0004590299,0.0000027518072,0.0000025207473,0.0000038240532,0.000015649117],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989741,0.0001091864,0.0001459119,0.00012854497,0.00052472076,0.00011756266],"domain_scores_gemma":[0.99949306,0.00010096452,0.00021165685,0.00004267212,0.00006494075,0.00008671418],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000121194076,0.0000952785,0.00024875553,0.000081034814,0.000058353005,0.000032348507,0.0001784624,0.000054370987,0.00006189196],"category_scores_gemma":[0.0000080521895,0.00008306693,0.00015615871,0.00006211287,0.00030985763,0.00078967004,0.00002178529,0.00026553558,0.0000015141253],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046612002,0.016752683,0.8234348,0.000011055182,0.000033021424,0.000013677085,0.008700871,0.0000045084917,0.058852952,0.00025299715,0.000010985966,0.0914663],"study_design_scores_gemma":[0.0008060297,0.0001053559,0.99316156,0.00003690221,0.00002698486,0.0000014900896,0.0005797637,0.00028286097,0.0040018745,0.0008355139,0.00007234966,0.00008930139],"about_ca_topic_score_codex":0.0002804974,"about_ca_topic_score_gemma":0.00012394002,"teacher_disagreement_score":0.16972674,"about_ca_system_score_codex":0.000112432004,"about_ca_system_score_gemma":0.00003685369,"threshold_uncertainty_score":0.3387371},"labels":[],"label_agreement":null},{"id":"W2097766217","doi":"10.1123/pes.25.3.468","title":"Children’s Objective Physical Activity by Location: Why the Neighborhood Matters","year":2013,"lang":"en","type":"article","venue":"Pediatric Exercise Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":57,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Center for Research Resources; National Institute of Environmental Health Sciences; National Institutes of Health","keywords":"Physical activity; Association (psychology); Psychology; Demography; Physical therapy; Medicine; Sociology","score_opus":0.006876751182436188,"score_gpt":0.2586873650602941,"score_spread":0.2518106138778579,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2097766217","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.989368,0.0001769365,0.0003970101,0.0057113613,0.00032420416,0.0007221474,0.000008467645,0.00009627992,0.0031955435],"genre_scores_gemma":[0.9983131,0.000079680576,0.000029003186,0.00040310543,0.00070163887,0.000086598906,0.0000015107603,0.0000069809585,0.0003783419],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977746,0.00007452485,0.0001271963,0.0005273542,0.00095002074,0.00054630183],"domain_scores_gemma":[0.99889183,0.00012829696,0.00011974978,0.00037457666,0.00026018568,0.00022533974],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00070706435,0.00014453931,0.00015944205,0.00007319133,0.0015829878,0.00035973437,0.0011276182,0.00004885805,0.00021883498],"category_scores_gemma":[0.00010539105,0.00010096394,0.000070838956,0.0023742316,0.0014946786,0.0017922139,0.00007162269,0.00021066867,0.00022078487],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010028736,0.0004562858,0.938958,0.000012143657,0.000003978661,3.9548084e-7,0.010635639,0.000009523534,0.0002138335,0.0003780314,0.033425763,0.015896365],"study_design_scores_gemma":[0.000118472235,0.0000124994585,0.9966434,0.0000037898567,0.00004026071,1.2832544e-7,0.0006336944,0.00014511272,0.00036492388,0.0016866897,0.00014574686,0.00020526157],"about_ca_topic_score_codex":0.0077285115,"about_ca_topic_score_gemma":0.00011272308,"teacher_disagreement_score":0.05768541,"about_ca_system_score_codex":0.00013171093,"about_ca_system_score_gemma":0.0004854947,"threshold_uncertainty_score":0.9997168},"labels":[],"label_agreement":null},{"id":"W2098568476","doi":"10.4278/0890-1171-21.4.274","title":"Association of Neighborhood Design and Recreation Environment Variables with Physical Activity and Body Mass Index in Adolescents","year":2007,"lang":"en","type":"article","venue":"American Journal of Health Promotion","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":139,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Recreation; Body mass index; Level design; Association (psychology); Physical activity; Index (typography); Environmental health; Gerontology; Psychology; Medicine; Physical therapy; Computer science; Ecology; Biology","score_opus":0.017257454386337707,"score_gpt":0.30556236212215776,"score_spread":0.28830490773582007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2098568476","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91377157,0.000028654029,0.085275605,0.00063668826,0.000017951308,0.000246523,6.120151e-7,0.0000027271249,0.000019642315],"genre_scores_gemma":[0.9986165,0.00013153332,0.0011851115,0.000012554195,0.0000443811,0.0000015568264,4.1391843e-7,0.0000036079514,0.0000043331083],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986988,0.00046668315,0.0002474688,0.000098055505,0.000324966,0.00016402893],"domain_scores_gemma":[0.9988363,0.00007588659,0.0009162489,0.000036581565,0.00004987962,0.00008514042],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032147055,0.000056869634,0.00022596595,0.0000747264,0.00009042078,0.000010443705,0.000037254948,0.000030048484,0.0000022548893],"category_scores_gemma":[0.000039303657,0.000047757676,0.000014385441,0.000169765,0.00012341599,0.00029047573,0.0000033320246,0.00014341301,6.3151965e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001565911,0.00035375767,0.9256182,0.000027010914,0.0000089845735,8.0667087e-7,0.0015612984,0.000019208584,0.00035938263,0.000017026641,8.7577445e-7,0.0718769],"study_design_scores_gemma":[0.00041141364,0.0008930063,0.9969111,0.00013421586,0.000013256831,4.3429807e-7,0.00077443424,0.00018356608,0.0001561099,0.00047350992,0.0000063365746,0.00004262167],"about_ca_topic_score_codex":0.00092733523,"about_ca_topic_score_gemma":0.00015292836,"teacher_disagreement_score":0.08484491,"about_ca_system_score_codex":0.00029717974,"about_ca_system_score_gemma":0.00015314715,"threshold_uncertainty_score":0.19475015},"labels":[],"label_agreement":null},{"id":"W2098814255","doi":"10.1186/1479-5868-6-12","title":"How well do cognitive and environmental variables predict active commuting?","year":2009,"lang":"en","type":"article","venue":"International Journal of Behavioral Nutrition and Physical Activity","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":70,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Cognition; Variance (accounting); Psychology; Regression analysis; Multilevel model; Variables; Theory of planned behavior; Structural equation modeling; Explained variation; Path analysis (statistics); Demography; Developmental psychology; Statistics; Control (management); Mathematics; Computer science; Sociology","score_opus":0.021556863545153116,"score_gpt":0.32293849172357475,"score_spread":0.3013816281784216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2098814255","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99755245,0.000053678203,0.00013525832,0.0016385451,0.00011345305,0.00010450902,0.00011035537,0.000008381916,0.00028334805],"genre_scores_gemma":[0.99927187,0.00012733812,0.000047764257,0.0000457475,0.00046143204,0.000001550845,0.00001168366,0.0000028355807,0.00002975061],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9991889,0.000092106486,0.00009831458,0.000118490905,0.00039714618,0.000105063365],"domain_scores_gemma":[0.9994896,0.000093841256,0.00017586818,0.000028644728,0.00009525175,0.00011676199],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012824121,0.000085980275,0.00015618066,0.000049456576,0.00015050812,0.00016372431,0.00011263391,0.000052195872,0.000027802673],"category_scores_gemma":[0.000012536148,0.00007769502,0.000077047334,0.000041153606,0.00026675625,0.00093232107,0.000016022957,0.00023106263,3.776069e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002480083,0.018677065,0.235152,0.000019231778,0.00016484175,0.00012672263,0.010941611,5.9094117e-7,0.038998097,0.0017757415,0.00024549803,0.6914185],"study_design_scores_gemma":[0.0033109079,0.0007196914,0.9598295,0.0002190921,0.00017837323,0.000018789924,0.007603489,0.00005944118,0.012960636,0.012000068,0.0028166587,0.0002833305],"about_ca_topic_score_codex":0.000090457266,"about_ca_topic_score_gemma":0.00001535172,"teacher_disagreement_score":0.7246775,"about_ca_system_score_codex":0.00006104901,"about_ca_system_score_gemma":0.000024265571,"threshold_uncertainty_score":0.31683108},"labels":[],"label_agreement":null},{"id":"W2099291123","doi":"10.1038/oby.2011.392","title":"Relationships Between Neighborhoods, Physical Activity, and Obesity: A Multilevel Analysis of a Large Canadian City","year":2012,"lang":"en","type":"article","venue":"Obesity","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":69,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ottawa Public Health; Statistics Canada; Institute of Population and Public Health; Children's Hospital of Eastern Ontario; University of Ottawa","funders":"Canadian Institutes of Health Research; Champlain Local Health Integration Network; University of Ottawa","keywords":"Overweight; Odds; Obesity; Demography; Multilevel model; Neighbourhood (mathematics); Medicine; Odds ratio; Multivariate analysis; Gerontology; Environmental health; Geography; Logistic regression; Statistics; Sociology","score_opus":0.058668488657251806,"score_gpt":0.3309834468604637,"score_spread":0.2723149582032119,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2099291123","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952913,0.000038688297,0.00036438907,0.0001656889,0.000039944152,0.0001557127,0.0002540418,0.000028348688,0.003661907],"genre_scores_gemma":[0.99953663,0.0000036229847,0.000076211196,0.000013123456,0.00017774953,0.0000029648936,0.000025229952,0.0000046656933,0.00015981239],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99870086,0.0002576342,0.00012532253,0.00021003485,0.0002676091,0.00043852426],"domain_scores_gemma":[0.9988967,0.00021722417,0.00009314398,0.00020796151,0.00006860187,0.0005163501],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011310005,0.000104358485,0.00033855578,0.00017601515,0.00069427514,0.000027809161,0.00015884438,0.0001440422,0.00013097934],"category_scores_gemma":[0.00016526425,0.00010465406,0.00013799034,0.00079372973,0.0001867742,0.0005071785,0.000032965356,0.00024178006,0.0000057784478],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000024907072,0.00029284557,0.9907765,0.000007985396,0.0001273664,3.7918085e-7,0.006293073,2.5248468e-7,0.000010777325,0.0017695529,0.000019205589,0.0006995851],"study_design_scores_gemma":[0.00010656165,0.0000061197366,0.9979517,0.000003932577,0.00055612286,1.2078663e-8,0.00026321303,0.00011683562,0.00007212144,0.00047089977,0.00033611062,0.000116377254],"about_ca_topic_score_codex":0.33614695,"about_ca_topic_score_gemma":0.6887747,"teacher_disagreement_score":0.35262772,"about_ca_system_score_codex":0.00011310762,"about_ca_system_score_gemma":0.00018139453,"threshold_uncertainty_score":0.6682737},"labels":[],"label_agreement":null},{"id":"W2099370468","doi":"10.1186/1476-072x-7-43","title":"Establishing the soundness of administrative spatial units for operationalising the active living potential of residential environments: an exemplar for designing optimal zones","year":2008,"lang":"en","type":"article","venue":"International Journal of Health Geographics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":74,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; Université de Montréal","funders":"Social Sciences and Humanities Research Council of Canada; Canadian Institutes of Health Research","keywords":"Census; Health geography; Geography; Census tract; Homogeneous; Population; Soundness; Cartography; Spatial heterogeneity; Land use; Socioeconomic status; Spatial variability; Spatial ecology; Environmental resource management; Environmental health; Physical geography; Public health; Ecology; Statistics; Computer science; Environmental science; Medicine; Health policy; Biology; Mathematics","score_opus":0.102309264944343,"score_gpt":0.38608912640751347,"score_spread":0.28377986146317047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2099370468","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76696205,0.00023568215,0.22976597,0.0017437134,0.0007589662,0.0004012512,0.000116584764,0.0000030949711,0.000012678413],"genre_scores_gemma":[0.99528164,0.00016901916,0.0036665946,0.00010326759,0.0007230442,0.000011656169,0.000023862587,0.000009414049,0.000011523],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99747396,0.00040768686,0.000846943,0.00013767795,0.00092452887,0.00020918828],"domain_scores_gemma":[0.996061,0.0013258767,0.0012868185,0.000093897776,0.0011626619,0.000069699854],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033011606,0.000101825266,0.00023237478,0.00014376278,0.0010165336,0.000093597584,0.00071054156,0.0000684118,0.000015977172],"category_scores_gemma":[0.0008051712,0.00007174261,0.0001744675,0.00018501078,0.00061794586,0.000967757,0.000027272481,0.00020332963,3.241568e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0075313537,0.0031313205,0.47832623,0.00031712654,0.0028024295,0.00004563212,0.39374676,0.031392757,0.0050123865,0.04246307,0.00060562487,0.034625296],"study_design_scores_gemma":[0.0037834123,0.002571422,0.8539579,0.0009587578,0.00037054112,0.00007014254,0.11562611,0.00280558,0.00512715,0.010005051,0.0041311462,0.0005927885],"about_ca_topic_score_codex":0.0024116891,"about_ca_topic_score_gemma":0.0017493804,"teacher_disagreement_score":0.37563166,"about_ca_system_score_codex":0.00006744569,"about_ca_system_score_gemma":0.0012411601,"threshold_uncertainty_score":0.78184575},"labels":[],"label_agreement":null},{"id":"W2099446200","doi":"10.3141/2255-08","title":"Modeling of Job Mobility and Location Choice Decisions","year":2011,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto; Dalhousie University","funders":"","keywords":"Microsimulation; Component (thermodynamics); Discrete choice; Unemployment; Econometrics; Computer science; Mixed logit; Duration (music); Logit; Travel behavior; Travel survey; Operations research; Economics; Transport engineering; Logistic regression; Microeconomics; Engineering","score_opus":0.2337713649338347,"score_gpt":0.43890762358535534,"score_spread":0.20513625865152063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2099446200","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99279153,0.00039368778,0.004019175,0.00076568534,0.00028838278,0.0008495147,0.000029694014,0.00002043554,0.00084190036],"genre_scores_gemma":[0.996581,0.0010380584,0.0019526157,0.0000148081435,0.00012346177,0.000030148181,0.0000051184734,0.000024834257,0.00022991422],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9925832,0.0014023872,0.0015227817,0.000397762,0.003392566,0.0007012986],"domain_scores_gemma":[0.9901344,0.0012324303,0.00037201383,0.00046498748,0.007353519,0.0004426025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008812944,0.00017861743,0.000422135,0.00068341865,0.0010230751,0.00007040315,0.001103527,0.00022317887,0.00035713043],"category_scores_gemma":[0.0009979021,0.0001389741,0.00024857008,0.002820818,0.0016511265,0.0010785786,0.000007270509,0.0014420568,0.000004344285],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007209939,0.0003617712,0.96835035,0.00014761754,0.000066957306,0.000011785718,0.019888092,0.0005478043,0.0004019991,0.0048138225,0.00018111053,0.004507692],"study_design_scores_gemma":[0.0006936188,0.00022509873,0.97884035,0.00029536578,0.000052342988,4.6088907e-8,0.0066040065,0.0003848006,0.00034482684,0.011578937,0.0008493546,0.00013126833],"about_ca_topic_score_codex":0.13591884,"about_ca_topic_score_gemma":0.36496633,"teacher_disagreement_score":0.2290475,"about_ca_system_score_codex":0.00016011098,"about_ca_system_score_gemma":0.0012120766,"threshold_uncertainty_score":0.86983514},"labels":[],"label_agreement":null},{"id":"W2099952271","doi":"10.1002/atr.159","title":"An assessment of models to estimate pedestrian demand based on the level of activity","year":2011,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Pedestrian; Regression analysis; Transport engineering; Variables; Computer science; Predictive modelling; Statistics; Environmental science; Engineering; Mathematics","score_opus":0.1278611032061391,"score_gpt":0.40631435262245263,"score_spread":0.27845324941631355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2099952271","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87940514,0.0000056390945,0.11962694,0.00014859754,0.000090049536,0.00017878751,0.00002860519,0.000004767222,0.0005115024],"genre_scores_gemma":[0.9824547,0.000006955074,0.017474905,0.000021633436,0.00002419756,0.0000028271932,0.0000027176768,0.000005968487,0.0000060682123],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99878544,0.00009054925,0.00043090546,0.000101424754,0.00047490495,0.0001167942],"domain_scores_gemma":[0.9988271,0.00008890906,0.00055442774,0.0001359167,0.00029734566,0.00009628643],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008906699,0.00007980569,0.00021595048,0.00008061722,0.00009578135,0.000006915674,0.00021749127,0.000044294815,0.000051113882],"category_scores_gemma":[0.000018220579,0.00005698504,0.00010709511,0.00020851879,0.00008839167,0.00066628814,5.0347006e-7,0.00012082204,8.920344e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001792373,0.0017826372,0.39444116,0.00013069954,0.000062501276,0.000014440149,0.038983487,0.5160703,0.02659273,0.00682805,0.000007021945,0.013294573],"study_design_scores_gemma":[0.00043539493,0.00039695407,0.98257023,0.00007463006,0.000051612842,4.071323e-8,0.0009252746,0.0010053893,0.010189944,0.004278133,0.000007890917,0.00006449538],"about_ca_topic_score_codex":0.00041487662,"about_ca_topic_score_gemma":0.0034366273,"teacher_disagreement_score":0.58812904,"about_ca_system_score_codex":0.000034224417,"about_ca_system_score_gemma":0.00025371008,"threshold_uncertainty_score":0.23237826},"labels":[],"label_agreement":null},{"id":"W2100317657","doi":"","title":"Scootering on: An investigation of children’s use of scooters for transport and recreation","year":2013,"lang":"en","type":"article","venue":"Research Commons (University of Waikato)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"University of Waikato","keywords":"Recreation; Transport engineering; Engineering; Political science","score_opus":0.11726785264229628,"score_gpt":0.33110863257104656,"score_spread":0.21384077992875028,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100317657","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99832875,0.000014767072,0.0002472048,0.0005481639,0.000009809785,0.00055604585,0.000040718154,0.0000115291095,0.00024301863],"genre_scores_gemma":[0.9983962,0.000032901975,0.0014208821,0.0000029834519,0.000009164457,8.9004976e-7,0.00002884782,0.0000039554184,0.000104166786],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99900156,0.00018604982,0.00012198978,0.00016039745,0.00036337643,0.00016660814],"domain_scores_gemma":[0.99904037,0.00020091476,0.00008526983,0.00018253144,0.0003644037,0.00012651761],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090411084,0.000050223534,0.0001557546,0.00021516507,0.00031329534,0.000013606302,0.00022140957,0.000062302286,0.00007699325],"category_scores_gemma":[0.000046548063,0.000058762194,0.000049766484,0.00034275773,0.001040335,0.0008238311,0.000018335617,0.000099440775,5.988018e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010161685,0.00007327313,0.9823799,0.00007149952,0.000019984655,3.7903695e-7,0.009254848,0.000008998136,0.0027967684,0.0019544426,0.000088257504,0.0032500105],"study_design_scores_gemma":[0.00030326523,0.00017809182,0.993942,0.00008770308,0.000012865055,4.6646853e-8,0.0028991916,0.00014364491,0.0013050296,0.0010170722,0.00005470389,0.000056376317],"about_ca_topic_score_codex":0.056275934,"about_ca_topic_score_gemma":0.017150575,"teacher_disagreement_score":0.039125357,"about_ca_system_score_codex":0.000038563387,"about_ca_system_score_gemma":0.0001259326,"threshold_uncertainty_score":0.9570424},"labels":[],"label_agreement":null},{"id":"W2100429491","doi":"10.5539/mas.v6n7p1","title":"Transportation Planning Survey Methodologies for the Proposed Study of Physical and Socio-economic Development of Deprived Rural Regions: A Review","year":2012,"lang":"en","type":"review","venue":"Modern Applied Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universiti Teknologi Petronas","keywords":"Business; Poverty; Data collection; Prosperity; Rural area; Plan (archaeology); Environmental planning; Transport engineering; Economic growth; Geography; Economics; Engineering; Political science","score_opus":0.32971612490054725,"score_gpt":0.45945926761481615,"score_spread":0.1297431427142689,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100429491","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017369302,0.9645992,0.013171413,0.000010686284,0.00006126345,0.004684071,0.000033681423,0.000023604996,0.00004677885],"genre_scores_gemma":[0.42692196,0.5701505,0.0024215989,0.000006109089,0.00004022479,0.00041259857,0.000023579678,0.00001382937,0.000009580945],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99794626,0.000241064,0.0006978484,0.00040363937,0.00040690746,0.00030429187],"domain_scores_gemma":[0.99764043,0.0012216847,0.000735059,0.00024625237,0.00009287403,0.00006370737],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00738134,0.00020843075,0.001114237,0.00006666736,0.00064271595,0.00002824764,0.0008139372,0.000077182645,0.0000024506069],"category_scores_gemma":[0.00009979494,0.00013106193,0.00012763243,0.00032682382,0.001226356,0.00017015907,0.000031820462,0.0001389894,4.7103106e-7],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021599853,0.00015785563,0.001833755,0.007240838,0.000073403324,7.473746e-8,0.062111422,0.0000046880423,0.000036572244,0.0004010463,0.0000031364743,0.9281156],"study_design_scores_gemma":[0.005727969,0.00097865,0.5995395,0.06301341,0.019882707,0.0000014907274,0.12220505,0.001139523,0.0004042723,0.021628425,0.157788,0.0076909717],"about_ca_topic_score_codex":0.00031165112,"about_ca_topic_score_gemma":0.0010358961,"teacher_disagreement_score":0.92042464,"about_ca_system_score_codex":0.000099960525,"about_ca_system_score_gemma":0.0011162261,"threshold_uncertainty_score":0.534455},"labels":[],"label_agreement":null},{"id":"W2100539901","doi":"10.7202/022813ar","title":"La structure spatiale des déplacements pendulaires des femmes et des hommes dans la région de Montréal.","year":2005,"lang":"fr","type":"article","venue":"Cahiers de géographie du Québec","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université Laval; Ministère des Transports; Institut National de la Recherche Scientifique; Université du Québec","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.012377130172088895,"score_gpt":0.2517957291404548,"score_spread":0.2394185989683659,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100539901","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96062684,0.027853467,0.0015716155,0.0034446062,0.00020624774,0.0003108736,0.00009701844,0.00017885184,0.005710453],"genre_scores_gemma":[0.98328996,0.0039386926,0.0042648274,0.00041350114,0.0003767148,0.00003181298,0.000033976663,0.00006134268,0.0075891903],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99617904,0.0011750527,0.0004900726,0.00060567434,0.000439372,0.0011107957],"domain_scores_gemma":[0.99818677,0.0005244075,0.00022661035,0.0003624308,0.00015533964,0.0005444499],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0012548111,0.00050622004,0.00044664726,0.0002458341,0.0017510317,0.00029798684,0.0006652757,0.0007510519,0.00036955127],"category_scores_gemma":[0.00026648457,0.0005051822,0.00043849007,0.0011207955,0.028157372,0.0011027016,0.000052634343,0.0007587581,0.000014108853],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008116148,0.00029918092,0.7919094,0.00018576806,0.00016531926,0.000077975434,0.096527144,0.00026984303,0.0003225872,0.004308311,0.0023240475,0.10352926],"study_design_scores_gemma":[0.00085675763,0.00009585087,0.8820447,0.00024258827,0.00033525133,0.000030913307,0.012525121,0.00008334182,0.00081076805,0.029176526,0.073162094,0.00063609285],"about_ca_topic_score_codex":0.3130863,"about_ca_topic_score_gemma":0.9487223,"teacher_disagreement_score":0.635636,"about_ca_system_score_codex":0.0013697189,"about_ca_system_score_gemma":0.0009848138,"threshold_uncertainty_score":0.99974},"labels":[],"label_agreement":null},{"id":"W2100843116","doi":"10.1002/atr.1311","title":"A model for the layout of bike stations in public bike‐sharing systems","year":2015,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Bike sharing; Solver; Transport engineering; Public transport; Problem solver; Computer science; Investment (military); Operations research; Engineering","score_opus":0.10791034601719524,"score_gpt":0.3546639666152019,"score_spread":0.24675362059800665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100843116","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9293179,0.0005077309,0.06874552,0.0005581687,0.00035196936,0.00034835603,0.000037543552,0.000008834378,0.00012399601],"genre_scores_gemma":[0.9976451,0.00006106018,0.0020917435,0.000012920026,0.000075552074,0.000015905289,0.000011633594,0.0000072194193,0.00007890643],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99870855,0.000027168835,0.0006346435,0.00009243858,0.0003812576,0.00015593992],"domain_scores_gemma":[0.99859184,0.00012288615,0.00048750264,0.00008750752,0.0006223427,0.00008793723],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001159439,0.000064982516,0.00018519435,0.00012806038,0.0000997943,0.00003206593,0.0002275009,0.00004724928,0.0000031842396],"category_scores_gemma":[0.00010669392,0.000048516697,0.00009358663,0.00034046388,0.00007745576,0.0009678165,8.4473044e-7,0.000112462905,1.6394361e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021721375,0.00015244824,0.24006052,0.000075229014,0.00003511835,0.0000027866868,0.055946257,0.6893395,0.00031011275,0.011897217,0.000034587963,0.0019289651],"study_design_scores_gemma":[0.0056521795,0.00027124767,0.8000307,0.00033479865,0.0002441861,8.103577e-7,0.08792138,0.06505535,0.00011984175,0.0358468,0.004153954,0.0003687329],"about_ca_topic_score_codex":0.00031317442,"about_ca_topic_score_gemma":0.00942715,"teacher_disagreement_score":0.6242842,"about_ca_system_score_codex":0.00007795997,"about_ca_system_score_gemma":0.00038238545,"threshold_uncertainty_score":0.52605706},"labels":[],"label_agreement":null},{"id":"W2101204643","doi":"10.3141/2009-12","title":"Traffic Safety and Safe Routes to Schools","year":2007,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver Community College; University of British Columbia","funders":"","keywords":"Transport engineering; Occupational safety and health; Poison control; Business; Injury prevention; Human factors and ergonomics; Suicide prevention; Child safety; Risk analysis (engineering); Psychology; Computer security; Environmental health; Engineering; Medicine; Computer science","score_opus":0.07987213524828608,"score_gpt":0.4218763448680291,"score_spread":0.34200420961974304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2101204643","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9831017,0.00029681504,0.002101667,0.011508983,0.00053187675,0.0013074296,0.000048900703,0.000039905757,0.0010626952],"genre_scores_gemma":[0.99472183,0.00081430597,0.002106502,0.00011619593,0.00042045963,0.000017424238,0.000008744911,0.00003909406,0.0017554493],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9904913,0.0012084445,0.0016763218,0.0005119991,0.00472013,0.0013918269],"domain_scores_gemma":[0.99305695,0.0015417881,0.00034382817,0.00042534163,0.003507405,0.0011246628],"candidate_categories":["sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.018164331,0.0002434585,0.00048992154,0.0011140949,0.0018932292,0.00025796884,0.0013007032,0.00026246262,0.00046314776],"category_scores_gemma":[0.00055315276,0.00019057379,0.0003286633,0.003338295,0.0011297769,0.0010097163,0.000007586227,0.0024140459,0.000031605046],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0037277532,0.00029416406,0.92156607,0.00014183861,0.000111231086,0.0001404045,0.02056797,0.00038079947,0.001088773,0.0066933557,0.003388559,0.041899096],"study_design_scores_gemma":[0.0009163004,0.00030614916,0.90847826,0.0002166891,0.000033853674,1.0766954e-7,0.009996957,0.0000065886456,0.00034076767,0.0016408854,0.07786868,0.00019476576],"about_ca_topic_score_codex":0.02385403,"about_ca_topic_score_gemma":0.40269518,"teacher_disagreement_score":0.37884116,"about_ca_system_score_codex":0.00039261533,"about_ca_system_score_gemma":0.0011447753,"threshold_uncertainty_score":0.9998874},"labels":[],"label_agreement":null},{"id":"W2101371478","doi":"10.1068/a34171","title":"Measuring Neighbourhood Spatial Accessibility to Urban Amenities: Does Aggregation Error Matter?","year":2002,"lang":"en","type":"article","venue":"Environment and Planning A Economy and Space","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":249,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Neighbourhood (mathematics); Amenity; Computer science; Recreation; Data aggregator; Geography; Econometrics; Business; Economics; Political science; Mathematics","score_opus":0.031438802299026576,"score_gpt":0.23768580923187496,"score_spread":0.2062470069328484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2101371478","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9787704,0.00044776857,0.0006892176,0.0017823905,0.000095067146,0.00023337119,0.000009020176,0.000032410822,0.017940387],"genre_scores_gemma":[0.9969935,0.000047108144,0.00021649117,0.0002321349,0.00023474138,0.000018101222,0.000004456497,0.0000070930464,0.0022464157],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990367,0.00006223074,0.00017786851,0.00036304488,0.000104321894,0.00025582375],"domain_scores_gemma":[0.99953747,0.00006487619,0.000076138036,0.00013105878,0.0000051234297,0.0001853626],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003000885,0.00013580905,0.00016632781,0.000046546877,0.00051763776,0.00018006467,0.00009845438,0.000073571005,0.0017788925],"category_scores_gemma":[0.000013662533,0.00011905257,0.00003049467,0.000035717767,0.00015969995,0.00042677752,0.000032810272,0.000103527724,0.000040533516],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014521271,0.000027460057,0.97446936,0.00001705408,0.000010211517,0.0000025203526,0.020699257,0.00002007217,0.00000934492,0.00006628435,0.00018763791,0.004476251],"study_design_scores_gemma":[0.00034455513,0.000042495176,0.94876623,0.000054800606,0.00002761554,3.6864262e-7,0.005598769,0.00037318617,0.00016243904,0.0007795585,0.043509066,0.00034093493],"about_ca_topic_score_codex":0.00097278436,"about_ca_topic_score_gemma":0.00032919308,"teacher_disagreement_score":0.043321427,"about_ca_system_score_codex":0.000056871137,"about_ca_system_score_gemma":0.000007715914,"threshold_uncertainty_score":0.99913365},"labels":[],"label_agreement":null},{"id":"W2101390215","doi":"10.1007/s11116-010-9275-z","title":"The effect of neighbourhood characteristics, accessibility, home–work location, and demographics on commuting distances","year":2010,"lang":"en","type":"article","venue":"Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":176,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Neighbourhood (mathematics); Metropolitan area; Demographics; Work (physics); Geography; TRIPS architecture; Transport engineering; Demographic economics; Engineering; Mathematics; Sociology; Demography; Economics","score_opus":0.00744762945827399,"score_gpt":0.28021556696198346,"score_spread":0.2727679375037095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2101390215","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99810165,0.00008565303,0.00022204441,0.000351435,0.00035284142,0.00023161236,0.000020448282,0.000045249595,0.00058908196],"genre_scores_gemma":[0.99969023,0.00006695229,0.000034863144,0.000014846081,0.0000929176,0.000014210093,0.000049967042,0.000007740731,0.000028238846],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99885947,0.0001108577,0.0003503612,0.00019833824,0.00029590956,0.00018508185],"domain_scores_gemma":[0.99876904,0.0006003387,0.00021875552,0.00021533146,0.00012743643,0.00006907449],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012555717,0.00010899495,0.00016879468,0.000033392138,0.0007344419,0.00007872383,0.00024034201,0.00009650389,0.00002873658],"category_scores_gemma":[0.0001185478,0.000076683726,0.00005455506,0.00039937388,0.0006528733,0.0002185915,0.0000019541958,0.00024178672,9.042966e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010166587,0.000024316927,0.9735447,0.00005727558,0.000009084475,3.515427e-7,0.001712551,6.9769476e-7,0.00007910792,0.0057246666,0.0000034617121,0.01874213],"study_design_scores_gemma":[0.00021540673,0.000058063997,0.99801993,0.00003581939,0.00003862978,1.37925245e-8,0.00020552303,0.0000068534905,0.0002668859,0.0008052207,0.000260292,0.00008733017],"about_ca_topic_score_codex":0.00036333597,"about_ca_topic_score_gemma":0.01748408,"teacher_disagreement_score":0.02447527,"about_ca_system_score_codex":0.000008590385,"about_ca_system_score_gemma":0.000044052675,"threshold_uncertainty_score":0.97565264},"labels":[],"label_agreement":null},{"id":"W2101973401","doi":"10.1016/j.sste.2012.02.006","title":"Quantifying the magnitude of environmental exposure misclassification when using imprecise address proxies in public health research","year":2012,"lang":"en","type":"article","venue":"Spatial and Spatio-temporal Epidemiology","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":87,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Census; Public health; Geography; Recreation; Environmental health; Population; Unit (ring theory); Sample (material); Statistics; Medicine; Psychology; Political science; Mathematics","score_opus":0.45443160305329916,"score_gpt":0.4475566421002504,"score_spread":0.0068749609530487366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2101973401","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9893208,0.0023791709,0.00049279805,0.0068134535,0.0001774104,0.00060076476,0.000026166676,0.000014440343,0.00017499467],"genre_scores_gemma":[0.9983734,0.00022399044,0.00089512096,0.00011167816,0.00024877719,0.000034479086,0.000060354934,0.00000843673,0.000043799257],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9945185,0.0034480586,0.0007379017,0.00028979164,0.00028922784,0.000716493],"domain_scores_gemma":[0.99826,0.0009133538,0.00035870777,0.00021722814,0.000055914294,0.00019477081],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014282261,0.000119244876,0.00038981656,0.00012893994,0.0005951055,0.000020405616,0.00025234045,0.00016742517,0.00016754949],"category_scores_gemma":[0.0010606679,0.00008648717,0.00005563483,0.00019062439,0.0011924198,0.00039562225,0.000065204214,0.0003364999,0.0000025654492],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034237706,0.00013066106,0.9721001,0.000034254343,0.0000068366344,2.2882261e-7,0.01071107,0.000003221487,0.00013715272,0.001790347,0.000046640303,0.015005286],"study_design_scores_gemma":[0.00019416143,0.00006535455,0.9913503,0.000022128757,0.0000043215855,3.0489517e-7,0.0031226957,0.0003542725,0.000026905747,0.0018631737,0.0029062096,0.000090192276],"about_ca_topic_score_codex":0.07259938,"about_ca_topic_score_gemma":0.06474643,"teacher_disagreement_score":0.019250216,"about_ca_system_score_codex":0.00013732478,"about_ca_system_score_gemma":0.00023322582,"threshold_uncertainty_score":0.9523195},"labels":[],"label_agreement":null},{"id":"W2102216693","doi":"10.1123/jpah.5.6.795","title":"Walking, Cycling, and Obesity Rates in Europe, North America, and Australia","year":2008,"lang":"en","type":"article","venue":"Journal of Physical Activity and Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":639,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Obesity; Geography; Demography; TRIPS architecture; Environmental health; Physical activity; Public health; Socioeconomics; Cycling; Medicine; Economics; Transport engineering; Engineering; Sociology; Physical therapy; Forestry","score_opus":0.06843504782896509,"score_gpt":0.3762129780125318,"score_spread":0.3077779301835667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102216693","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99845564,0.00014379498,0.000015737818,0.0011891422,0.000031487805,0.00006764852,0.0000031745508,0.000004459116,0.000088916946],"genre_scores_gemma":[0.9984877,0.0010964199,0.000060300456,0.00008380868,0.00020818952,2.8558267e-7,3.2738646e-7,0.0000027566023,0.000060199825],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991978,0.00014510711,0.00015940012,0.00012764714,0.00017820802,0.00019188256],"domain_scores_gemma":[0.9993785,0.00009136385,0.00021243044,0.00003908844,0.00005569723,0.0002229457],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031804552,0.00007500175,0.00030310627,0.000041492596,0.00033123395,0.000027271877,0.000057804533,0.00002699357,0.0000054923903],"category_scores_gemma":[0.00004098207,0.000060348608,0.000027428961,0.00021537946,0.00037099075,0.00044332098,0.000015269463,0.00031562545,5.0238026e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029276134,0.00032954034,0.97943765,0.000032585267,0.0000049751725,0.000015128054,0.0064993007,7.840282e-7,0.00005589919,0.000089189256,0.000059943693,0.013445739],"study_design_scores_gemma":[0.00023184002,0.00017831493,0.9981547,0.000025317213,0.000005338493,0.0000024196568,0.00014510086,0.000024712892,0.000026887295,0.00034667205,0.0007979193,0.000060792983],"about_ca_topic_score_codex":0.0061406237,"about_ca_topic_score_gemma":0.00656976,"teacher_disagreement_score":0.018717045,"about_ca_system_score_codex":0.00002826391,"about_ca_system_score_gemma":0.00015495582,"threshold_uncertainty_score":0.9282827},"labels":[],"label_agreement":null},{"id":"W2102343517","doi":"10.1080/01944360508976404","title":"Gross Density and New Urbanism: Comparing Conventional and New Urbanist Suburbs in Markham, Ontario","year":2005,"lang":"en","type":"article","venue":"Journal of the American Planning Association","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":75,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Urbanism; Geography; New Urbanism; Neighbourhood (mathematics); Population density; Differential (mechanical device); Smart growth; Boundary (topology); Land use; Transport engineering; Population; Regional science; Economic geography; Architecture; Civil engineering; Archaeology; Sociology; Demography; Engineering; Mathematics","score_opus":0.03188486416565462,"score_gpt":0.293251144141001,"score_spread":0.2613662799753464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102343517","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99524474,0.00018356826,0.00012056593,0.003445463,0.00015878654,0.00005850327,8.212533e-7,0.00000730695,0.0007802475],"genre_scores_gemma":[0.99582845,0.000012603721,0.00059967744,0.00022180306,0.00037205257,1.7882967e-7,9.951787e-7,0.0000041582725,0.0029600833],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988329,0.00013658822,0.0003273353,0.00010960547,0.00040490946,0.00018869346],"domain_scores_gemma":[0.9986874,0.00015438897,0.00090875966,0.000054343294,0.00006369721,0.00013143936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011327106,0.000078683785,0.0002613366,0.000052778527,0.00026452978,0.00012488398,0.00014745854,0.000043206608,0.000019510864],"category_scores_gemma":[0.00017819939,0.00006684849,0.00006596196,0.00017625527,0.00010933329,0.00034837186,0.000023678196,0.00031625654,7.406156e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054508608,0.000021586242,0.98895955,0.0000015235067,0.00002444995,0.0000025636311,0.0066097495,0.000053922802,0.00004296134,0.00008138316,0.00347097,0.00067680184],"study_design_scores_gemma":[0.00046842382,0.000025159618,0.99348086,0.00004452531,0.00003461858,0.0000029858656,0.0005513485,0.00005404631,0.000017373128,0.00071900105,0.0045266687,0.00007496641],"about_ca_topic_score_codex":0.06524166,"about_ca_topic_score_gemma":0.13650146,"teacher_disagreement_score":0.071259804,"about_ca_system_score_codex":0.0008293222,"about_ca_system_score_gemma":0.00045294617,"threshold_uncertainty_score":0.940983},"labels":[],"label_agreement":null},{"id":"W2102514991","doi":"10.1111/j.1467-8306.2007.00560.x","title":"Hierarchical Location-Allocation with Spatial Choice Interaction Modeling","year":2007,"lang":"en","type":"article","venue":"Annals of the Association of American Geographers","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; University of Alberta","keywords":"Facility location problem; Computer science; Attendance; Location-allocation; Hierarchical database model; Location theory; Spatial design; Node (physics); Distance decay; Operations research; Geography; Data mining; Mathematics; Engineering; Economics; Space (punctuation)","score_opus":0.024686840156925488,"score_gpt":0.3305115650525978,"score_spread":0.30582472489567236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102514991","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98550916,0.000020610883,0.008298955,0.0031671568,0.00012390262,0.00017531443,0.0000038297444,0.00002408236,0.0026769747],"genre_scores_gemma":[0.99931914,0.000025631049,0.00024451225,0.00021231435,0.00009114183,0.000003203588,0.000006036125,0.000006288556,0.00009174716],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998527,0.00014303823,0.0003392563,0.00014613866,0.00062382757,0.00022072981],"domain_scores_gemma":[0.99802876,0.00023706659,0.000802214,0.0001664688,0.00070763356,0.00005785725],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001403229,0.00007556359,0.00016435837,0.00009669293,0.00019921573,0.00001661262,0.00024905533,0.000052203846,0.00001778104],"category_scores_gemma":[0.00038818328,0.000060196006,0.000121882345,0.0011485588,0.0003401689,0.00023295391,0.0000116749725,0.0001330486,7.5949896e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006370056,0.00008779259,0.9837275,0.0000064907513,0.00007590519,2.9612112e-8,0.0020364164,0.002033342,0.000067494824,0.00026842498,0.000058211794,0.011574676],"study_design_scores_gemma":[0.0001535782,0.00007004237,0.9937891,0.00003278427,0.00003851338,1.9274612e-8,0.0033328186,0.0006574952,0.00075010053,0.00040856938,0.0006739099,0.00009308053],"about_ca_topic_score_codex":0.041508697,"about_ca_topic_score_gemma":0.0308945,"teacher_disagreement_score":0.013809952,"about_ca_system_score_codex":0.000058231897,"about_ca_system_score_gemma":0.00012855537,"threshold_uncertainty_score":0.98678917},"labels":[],"label_agreement":null},{"id":"W2102616252","doi":"10.1177/0042098013489742","title":"Understanding the Impact of the Modifiable Areal Unit Problem on the Relationship between Active Travel and the Built Environment","year":2013,"lang":"en","type":"article","venue":"Urban Studies","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":81,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Scale (ratio); Geography; Built environment; Measure (data warehouse); Statistics; Cartography; Computer science; Mathematics; Engineering; Data mining; Civil engineering","score_opus":0.2798687017939163,"score_gpt":0.34820163390778847,"score_spread":0.06833293211387215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102616252","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9778721,0.00050536025,0.00006696147,0.008322511,0.000031293617,0.0010401132,0.000019711215,0.000009757077,0.012132223],"genre_scores_gemma":[0.99869597,0.00006154964,0.0000039120378,0.000035743575,0.0000749015,0.000062014784,7.641041e-7,0.00000546156,0.0010596964],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987924,0.00036618236,0.00018168778,0.00014692487,0.00030495375,0.00020781916],"domain_scores_gemma":[0.99669474,0.0028383923,0.00015060308,0.00025926743,0.0000297666,0.000027239093],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0009195205,0.000116003095,0.00017552562,0.00001484689,0.0019818454,0.000056049306,0.00032634923,0.000041284013,0.00004134208],"category_scores_gemma":[0.00018683446,0.000038570375,0.0001098312,0.00017886063,0.002226375,0.00012711581,0.0000621698,0.00022820257,0.0000040457726],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017621132,0.000018699333,0.9117885,0.0000050347835,0.00015970143,3.7493898e-8,0.056084257,0.00005498577,0.0000031782245,0.030584345,0.0012156594,0.000067938905],"study_design_scores_gemma":[0.00019557953,0.000020824395,0.83681047,0.00002097503,0.00005784059,2.090978e-8,0.042653497,0.000014612532,0.000013751904,0.120118536,0.00004426993,0.000049592865],"about_ca_topic_score_codex":0.005420542,"about_ca_topic_score_gemma":0.0005573191,"teacher_disagreement_score":0.08953419,"about_ca_system_score_codex":0.00015824287,"about_ca_system_score_gemma":0.000047035017,"threshold_uncertainty_score":0.99931747},"labels":[],"label_agreement":null},{"id":"W2102823222","doi":"10.7202/044884ar","title":"Proximité et transport actif. Le cas des déplacements entre l’école et la maison à Montréal et à Trois-Rivières","year":2010,"lang":"fr","type":"article","venue":"Environnement urbain","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Humanities; Art","score_opus":0.01408343806480116,"score_gpt":0.2790137583517133,"score_spread":0.26493032028691216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102823222","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9443663,0.0020531032,0.0012026781,0.015450637,0.00094852096,0.001139698,0.00023639877,0.00013245274,0.034470234],"genre_scores_gemma":[0.944682,0.000557521,0.0020153385,0.0011153169,0.00028113672,0.00013596183,0.00017015489,0.00006937359,0.050973188],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99556464,0.00079431594,0.00072640687,0.000936284,0.00092918036,0.0010491693],"domain_scores_gemma":[0.99838626,0.00024470018,0.00030331954,0.0005864156,0.000041348892,0.0004379478],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0026337057,0.00057819055,0.0005179461,0.00009945708,0.00075404905,0.00017717165,0.00063582195,0.000466655,0.0035081175],"category_scores_gemma":[0.000056346,0.0005862109,0.00034592743,0.00033149173,0.0013253547,0.0012554736,0.000077768535,0.0010920754,0.00014784915],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014580788,0.0030881015,0.90184677,0.00015544091,0.0001740946,0.00010730249,0.030976528,0.00021301424,0.0027957072,0.049023237,0.0014849288,0.009989069],"study_design_scores_gemma":[0.0019833394,0.00018335962,0.64654154,0.00010800759,0.00019343643,0.0000025552818,0.0034622482,0.00017546599,0.0010889788,0.0032400365,0.34230748,0.00071355887],"about_ca_topic_score_codex":0.047361538,"about_ca_topic_score_gemma":0.35291448,"teacher_disagreement_score":0.34082255,"about_ca_system_score_codex":0.00017874072,"about_ca_system_score_gemma":0.0003530783,"threshold_uncertainty_score":0.99965894},"labels":[],"label_agreement":null},{"id":"W2102880690","doi":"10.1016/j.amepre.2008.01.012","title":"Promoting Active Living Among People with Physical Disabilities","year":2008,"lang":"en","type":"article","venue":"American Journal of Preventive Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre for Interdisciplinary Research in Rehabilitation","funders":"","keywords":"Active living; Residence; Gerontology; Logistic regression; Population; Independent living; Census; Physical fitness; Geocoding; Physical activity; Medicine; Psychology; Environmental health; Demography; Geography; Physical therapy","score_opus":0.013724069787090915,"score_gpt":0.29566403396649643,"score_spread":0.28193996417940553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102880690","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99586034,0.000049334412,0.00046582305,0.000800655,0.000089637426,0.00014958114,0.0000012722481,0.000015812024,0.0025675322],"genre_scores_gemma":[0.99857473,0.00002639089,0.00015059396,0.000027602837,0.00081997766,0.0000038704147,5.466299e-7,0.000010254854,0.00038601703],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99829745,0.00033366,0.0003106854,0.000157678,0.00063912984,0.0002613766],"domain_scores_gemma":[0.99811804,0.0006800583,0.0006086706,0.00010157568,0.0002998774,0.00019179689],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0007210647,0.0001225515,0.00049618236,0.00007085874,0.00032800203,0.000008319396,0.00024063638,0.00001570515,0.00018471136],"category_scores_gemma":[0.00069006794,0.00007846585,0.00010496631,0.0005002819,0.0037468062,0.00050307554,0.000015596968,0.00027678133,0.0000012907487],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004803842,0.00014597716,0.7061513,0.00000771366,0.00005544496,0.000013913669,0.28602257,8.7653694e-7,0.000046406294,0.00002894779,0.000032712145,0.0074461256],"study_design_scores_gemma":[0.00024525984,0.0010205199,0.88440883,0.00036577677,0.00008030681,0.000008183404,0.11328964,0.000006918785,0.0000837526,0.0002943158,0.000098394965,0.00009808334],"about_ca_topic_score_codex":0.0023352278,"about_ca_topic_score_gemma":0.0012954824,"teacher_disagreement_score":0.17825757,"about_ca_system_score_codex":0.00009966101,"about_ca_system_score_gemma":0.00021333164,"threshold_uncertainty_score":0.9989644},"labels":[],"label_agreement":null},{"id":"W2103080177","doi":"10.1016/s0966-6923(02)00050-9","title":"Spatial context and the complexity of daily travel patterns: an international comparison","year":2003,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":137,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Metropolitan area; Travel behavior; Geography; Context (archaeology); Transport engineering; Regional science; Spatial ecology; Urban structure; Economic geography; Urban planning; Ecology; Engineering; Civil engineering","score_opus":0.040197885555396266,"score_gpt":0.30443608510700154,"score_spread":0.26423819955160527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2103080177","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9917972,0.0003503478,0.0043916097,0.0007437348,0.0004878436,0.00014974806,0.000043234984,0.0000061234387,0.0020301498],"genre_scores_gemma":[0.99927026,0.0001853477,0.00029678643,0.00011099749,0.00011468985,0.0000012546684,0.000007052246,0.0000056460253,0.000007988728],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981694,0.00020220471,0.0007398882,0.00013106845,0.00058889366,0.00016855099],"domain_scores_gemma":[0.9988722,0.00006881238,0.00052195915,0.00012847866,0.00027454793,0.00013400224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016262897,0.0001112333,0.0004007221,0.00012971407,0.00019100106,0.00003378653,0.00041892604,0.00006932054,0.00029069665],"category_scores_gemma":[0.000022170301,0.0000763028,0.0003103122,0.00015894664,0.0016944376,0.00043232416,0.0000026907514,0.0002460925,1.9341357e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030958164,0.0002365024,0.9839695,0.000011456451,0.000097641554,0.0000052757186,0.00722491,0.0000029009916,0.000019547564,0.0060878233,0.000009932756,0.0020249477],"study_design_scores_gemma":[0.0019704846,0.00008547542,0.9864517,0.00003185987,0.0000941736,0.0000020927262,0.0046770065,0.000010721726,0.0001457087,0.003892216,0.0025510464,0.00008755479],"about_ca_topic_score_codex":0.0047705346,"about_ca_topic_score_gemma":0.011036045,"teacher_disagreement_score":0.007473029,"about_ca_system_score_codex":0.0000102075055,"about_ca_system_score_gemma":0.00008615637,"threshold_uncertainty_score":0.7211653},"labels":[],"label_agreement":null},{"id":"W2103109968","doi":"10.7202/1005876ar","title":"Localisation des activités métropolitaines : quels impacts sur le navettage à Montréal?","year":2011,"lang":"fr","type":"article","venue":"Environnement urbain","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.06157709571355712,"score_gpt":0.2541347462037587,"score_spread":0.19255765049020157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2103109968","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94529617,0.023420129,0.0033003027,0.0036069406,0.0007818281,0.0005692112,0.00005910305,0.00010794328,0.022858383],"genre_scores_gemma":[0.97559685,0.00073641277,0.000914199,0.00023705568,0.00048717653,0.00003226367,0.000031090247,0.000040283932,0.021924688],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968916,0.0005103404,0.0005417892,0.00058291457,0.0005168749,0.00095645007],"domain_scores_gemma":[0.99873185,0.00011035787,0.00025492156,0.0004608123,0.000053484182,0.0003885457],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011416435,0.00038037996,0.00036262127,0.00008616665,0.000839255,0.00007595473,0.00040861373,0.00026657392,0.0041457587],"category_scores_gemma":[0.00010185203,0.00038684634,0.00023863422,0.00036903314,0.0017850796,0.0014500828,0.000065567256,0.0002647139,0.00023947249],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016893052,0.003934433,0.69367075,0.00037218985,0.0002800564,0.00010478075,0.07592589,0.000044954577,0.0016512432,0.16441533,0.00576621,0.05366521],"study_design_scores_gemma":[0.001790149,0.00037573616,0.7574116,0.00023235916,0.00024099542,0.000001345568,0.012078092,0.00028564248,0.0064053703,0.041172363,0.17888954,0.0011168261],"about_ca_topic_score_codex":0.18282278,"about_ca_topic_score_gemma":0.047818094,"teacher_disagreement_score":0.17312334,"about_ca_system_score_codex":0.00059842604,"about_ca_system_score_gemma":0.00025361887,"threshold_uncertainty_score":0.9998583},"labels":[],"label_agreement":null},{"id":"W2103349570","doi":"10.1123/jpah.2013-0087","title":"Intensity-Specific Leisure-Time Physical Activity and The Built Environment Among Brazilian Adults: A Best-Fit Model","year":2014,"lang":"en","type":"article","venue":"Journal of Physical Activity and Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Public Health Agency of Canada; Centers for Disease Control and Prevention Foundation; Coca-Cola Foundation","keywords":"Physical activity; Leisure time; Intensity (physics); Psychology; Gerontology; Medicine; Physical medicine and rehabilitation","score_opus":0.03428938719740977,"score_gpt":0.3142559674167374,"score_spread":0.27996658021932763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2103349570","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98867136,0.00007579902,0.0010036458,0.009581569,0.000049019265,0.0002639552,0.000008204713,0.000012645386,0.00033381223],"genre_scores_gemma":[0.99863553,0.00025954127,0.000061224644,0.00010460653,0.00084018457,0.0000032350047,3.919429e-7,0.000010049425,0.000085254775],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9981911,0.00038852077,0.00020385096,0.0002904047,0.00056176586,0.00036433814],"domain_scores_gemma":[0.99856836,0.0003493057,0.00043974994,0.00018831086,0.00006926101,0.00038499714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014307656,0.00018781832,0.0007918386,0.000039104354,0.0007391043,0.00010130825,0.00021922344,0.000076317025,0.000008394595],"category_scores_gemma":[0.000039406837,0.00012235707,0.00021663393,0.00010606041,0.0012619549,0.0007650588,0.000059685575,0.000733139,0.000004790854],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.007388888,0.01620418,0.1101226,0.0004920065,0.0003131274,0.000015334534,0.08548802,0.0006443729,0.0058797933,0.013878566,0.00091984944,0.7586533],"study_design_scores_gemma":[0.0028638134,0.00081797404,0.92042595,0.00016874711,0.000092377195,0.000002722508,0.00068650855,0.053759526,0.0004277869,0.019322807,0.0010951019,0.0003366957],"about_ca_topic_score_codex":0.0022625122,"about_ca_topic_score_gemma":0.00062943477,"teacher_disagreement_score":0.81030333,"about_ca_system_score_codex":0.000120601,"about_ca_system_score_gemma":0.00013696008,"threshold_uncertainty_score":0.5684667},"labels":[],"label_agreement":null},{"id":"W2103934552","doi":"10.1007/s12160-012-9433-y","title":"Individual- and Area-Level Disparities in Access to the Road Network, Subway System and a Public Bicycle Share Program on the Island of Montreal, Canada","year":2013,"lang":"en","type":"article","venue":"Annals of Behavioral Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Montréal; University of Saskatchewan; Saskatchewan Health","funders":"Canadian Institutes of Health Research","keywords":"Public health; Public transport; Multilevel model; Geography; Poison control; Environmental health; Health psychology; Population; Business; Socioeconomics; Economic growth; Transport engineering; Gerontology; Medicine; Engineering; Sociology; Economics","score_opus":0.17844415611784942,"score_gpt":0.3694330301681454,"score_spread":0.19098887405029596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2103934552","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9763437,0.0008466001,5.7543e-7,0.02121197,0.000070488975,0.0009624475,0.00009864389,0.000010849183,0.00045470375],"genre_scores_gemma":[0.9991991,0.000053889413,0.0000032591622,0.00044793214,0.00008397956,0.00013486978,0.000014887211,0.000005377459,0.000056736848],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986041,0.000116495525,0.00032537183,0.00017806687,0.00046564563,0.00031027538],"domain_scores_gemma":[0.99923164,0.00013522705,0.00013767228,0.0001916748,0.00016146064,0.00014230385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006854034,0.00011055715,0.00028408127,0.000049429673,0.00017211176,0.0000779178,0.00038853474,0.000053131538,0.000077828634],"category_scores_gemma":[0.00006228147,0.00005803367,0.000019869252,0.00037135652,0.00042294554,0.00023252981,0.000057834983,0.0001204808,1.6342767e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012826646,0.00007990067,0.9598904,0.0000383708,0.000008753817,0.0000024240053,0.002616262,0.0000014915832,0.0000022642707,0.00008944737,0.016183563,0.021074263],"study_design_scores_gemma":[0.00015940145,0.00014666218,0.99206185,0.00026603273,0.000021009235,1.9488549e-7,0.00677471,0.00001521343,0.000011194371,0.000092720955,0.00038543635,0.000065559914],"about_ca_topic_score_codex":0.9549279,"about_ca_topic_score_gemma":0.98549247,"teacher_disagreement_score":0.032171432,"about_ca_system_score_codex":0.0000150725455,"about_ca_system_score_gemma":0.00012785856,"threshold_uncertainty_score":0.23665445},"labels":[],"label_agreement":null},{"id":"W2104167902","doi":"10.1016/j.ypmed.2009.09.025","title":"Carbonless footprints: Promoting health and climate stabilization through active transportation","year":2009,"lang":"en","type":"article","venue":"Preventive Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":184,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Robert Wood Johnson Foundation","keywords":"Walkability; Index (typography); Floor area ratio; Descriptive statistics; Energy (signal processing); Regression analysis; Transport engineering; Greenhouse gas; Destinations; Medicine; Environmental health; Statistics; Physical activity; Geography; Civil engineering; Tourism; Computer science; Physical medicine and rehabilitation; Mathematics; Ecology","score_opus":0.03126064790359262,"score_gpt":0.3612104162445162,"score_spread":0.3299497683409236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104167902","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9860789,0.00079041056,0.0019997472,0.0062718973,0.00012368805,0.0007003283,0.000010387439,0.0000815993,0.0039430326],"genre_scores_gemma":[0.99873644,0.0004771418,0.00022145224,0.0002902498,0.00015173412,0.000009677774,0.000063400264,0.000005567791,0.00004433092],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986736,0.00017485974,0.00030411757,0.00028454195,0.00028954606,0.00027331192],"domain_scores_gemma":[0.99944735,0.000048677975,0.0001898861,0.00008949388,0.00010060215,0.00012399194],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075727905,0.000103364655,0.00022773465,0.000034417266,0.00035297745,0.000012723711,0.00008324807,0.000045647834,0.00006789727],"category_scores_gemma":[0.00010139677,0.00008779701,0.000028018629,0.00025817074,0.00024582446,0.0003539537,0.0000028330849,0.00010629462,6.342171e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010437881,0.00022406246,0.4728769,0.00018973996,0.000023132556,0.0000035743456,0.37315404,0.0000011651708,0.00036007495,0.0109973885,0.000031879346,0.14203364],"study_design_scores_gemma":[0.0007526995,0.00029959867,0.96422696,0.00033913658,0.000036467398,1.0342702e-7,0.016741248,0.000017691938,0.00033506477,0.016036684,0.0010778953,0.00013646267],"about_ca_topic_score_codex":0.0012506023,"about_ca_topic_score_gemma":0.0030282796,"teacher_disagreement_score":0.49135002,"about_ca_system_score_codex":0.00008421488,"about_ca_system_score_gemma":0.000103071216,"threshold_uncertainty_score":0.3580258},"labels":[],"label_agreement":null},{"id":"W2104257147","doi":"10.11175/eastpro.2007.0.192.0","title":"POLICIES, COMMUTING PATTERNS AND ACCESSIBILITY IN A NON-MONOCENTRIC CITY: CASE STUDY OF DELHI","year":2007,"lang":"en","type":"article","venue":"Proceedings of the Eastern Asia Society for Transportation Studies The 7th International Conference of Eastern Asia Society for Transportation Studies, 2007","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Center for Theoretical Sciences; Canadian Institute for Advanced Research","keywords":"New delhi; Distribution (mathematics); Work (physics); Geography; Urban agglomeration; Underpinning; Business; Economic growth; Socioeconomics; Engineering; Sociology; Economics; Civil engineering; Economic geography; Mathematics","score_opus":0.10449781577999545,"score_gpt":0.38574862814823013,"score_spread":0.2812508123682347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104257147","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99129826,0.00080783665,0.0024309317,0.000903056,0.00050156703,0.0031988535,0.00071409566,0.00003578486,0.000109612214],"genre_scores_gemma":[0.99774736,0.0005515779,0.0009704082,0.000095073905,0.00014261833,0.00022602094,0.000057982976,0.000035081597,0.00017387954],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9954352,0.000028489247,0.0021791481,0.00066261855,0.0011019398,0.00059261196],"domain_scores_gemma":[0.9933656,0.0006072597,0.0020221446,0.00022704879,0.00367355,0.00010439998],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0033173424,0.00045486924,0.0009701255,0.000105711144,0.0008083632,0.00006274211,0.00089946296,0.00020367782,0.000007971585],"category_scores_gemma":[0.00016025368,0.00035426172,0.0010755458,0.0006724515,0.001184831,0.0007373205,0.000039167004,0.00034197315,1.0779781e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002779776,0.00047645267,0.7448858,0.00093263446,0.0014563779,0.0000012302346,0.24987634,0.000012952024,0.00008308748,0.00078630046,0.00006778092,0.0011430847],"study_design_scores_gemma":[0.002424872,0.0001627625,0.42451498,0.0003493991,0.0005394158,0.0000010347821,0.5704305,0.00030552008,0.0002548503,0.00067273085,0.00010670887,0.00023721975],"about_ca_topic_score_codex":0.003021314,"about_ca_topic_score_gemma":0.020455573,"teacher_disagreement_score":0.32055417,"about_ca_system_score_codex":0.00020707858,"about_ca_system_score_gemma":0.00015571032,"threshold_uncertainty_score":0.9998909},"labels":[],"label_agreement":null},{"id":"W2104666179","doi":"10.1016/j.jcjd.2013.03.087","title":"Built Environment Influences on Healthy Eating and Active Living: a “NEWPATH” to Energy Balance","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Diabetes","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Walkability; Built environment; Body mass index; Neighbourhood (mathematics); Environmental health; Index (typography); Level design; Medicine; Gerontology; Purchasing; Applied psychology; Psychology; Marketing; Engineering; Business; Civil engineering; Computer science","score_opus":0.013235097096474014,"score_gpt":0.2428349219880303,"score_spread":0.22959982489155628,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104666179","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953231,0.00053015916,0.000005641803,0.002621259,0.00012852764,0.000078944526,0.0000069248044,0.0000036395165,0.0013017587],"genre_scores_gemma":[0.9980959,0.000019152663,0.00012109588,0.0014612859,0.0001972365,0.0000061494648,3.0074364e-7,0.000005663888,0.000093198796],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99900836,0.0000821492,0.00021999788,0.00012974533,0.00018675986,0.000372969],"domain_scores_gemma":[0.9985978,0.00018253738,0.00014166773,0.00007781368,0.000056358153,0.00094380294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003002907,0.00008572725,0.00016569464,0.00012263098,0.0003400758,0.0001109629,0.00020463049,0.000050509716,0.0003632428],"category_scores_gemma":[0.00020942537,0.000075807206,0.000038955415,0.00011364061,0.00016882717,0.00034015207,0.0000060857856,0.00011595998,0.000008632346],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[9.125458e-7,0.000009505686,0.9800784,0.00000466696,0.000010461781,0.0000014649469,0.0046077683,0.00001352696,0.00008782838,0.000119475495,0.0003279377,0.01473807],"study_design_scores_gemma":[0.00006008229,0.00017481403,0.9911495,0.00011809434,0.000006136625,6.454668e-8,0.0011119415,0.0000075792364,0.00009086599,0.0011689531,0.0060159108,0.000096061165],"about_ca_topic_score_codex":0.041291628,"about_ca_topic_score_gemma":0.08981421,"teacher_disagreement_score":0.048522577,"about_ca_system_score_codex":0.00016003627,"about_ca_system_score_gemma":0.00048319667,"threshold_uncertainty_score":0.9650925},"labels":[],"label_agreement":null},{"id":"W2104837020","doi":"10.1016/j.healthplace.2013.01.003","title":"GPS tracking in neighborhood and health studies: A step forward for environmental exposure assessment, a step backward for causal inference?","year":2013,"lang":"en","type":"article","venue":"Health & Place","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":332,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Global Positioning System; Causal inference; Accelerometer; Computer science; Tracking (education); Data collection; Inference; Level design; Environmental health; Econometrics; Psychology; Medicine; Statistics; Artificial intelligence; Telecommunications; Mathematics","score_opus":0.07512390683659884,"score_gpt":0.4179581380737825,"score_spread":0.3428342312371837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104837020","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9308834,0.007048511,0.021231689,0.02847061,0.0006747811,0.010751575,0.00036585357,0.00013145791,0.00044212272],"genre_scores_gemma":[0.99120957,0.0009152262,0.004987125,0.0015396597,0.0001940176,0.00074844336,0.000052323263,0.000022495398,0.00033115564],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99738735,0.00020627702,0.00067016826,0.00053095014,0.0003106751,0.0008945934],"domain_scores_gemma":[0.9984335,0.0006432217,0.00032020165,0.0001826435,0.000050380164,0.00037006714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002174497,0.0002175208,0.0005639777,0.000077631834,0.0007810842,0.00010023206,0.00018273923,0.000120761455,0.0000644713],"category_scores_gemma":[0.00009251606,0.00020568534,0.00007910489,0.00015016278,0.00017571109,0.000567163,0.00003073921,0.00021716766,0.0000032351702],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006448208,0.00028064603,0.8943356,0.0008245625,0.000041455583,8.8743167e-7,0.021033626,0.0000060923617,0.0000062247673,0.0013059123,0.004492176,0.07760828],"study_design_scores_gemma":[0.0045144623,0.0015363597,0.9067092,0.00028411884,0.00002325888,5.199869e-7,0.05643347,0.0010364872,0.000003491423,0.0024347086,0.026547648,0.00047628747],"about_ca_topic_score_codex":0.0034892862,"about_ca_topic_score_gemma":0.041912664,"teacher_disagreement_score":0.077131994,"about_ca_system_score_codex":0.0007789199,"about_ca_system_score_gemma":0.0010615968,"threshold_uncertainty_score":0.9755699},"labels":[],"label_agreement":null},{"id":"W2104838488","doi":"10.7202/037599ar","title":"A tool for evaluating urban sustainability via integrated transportation and land use simulation models","year":2009,"lang":"en","type":"article","venue":"Environnement urbain","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"","keywords":"Sustainability; Operability; Plan (archaeology); Nova scotia; Environmental planning; Urban sustainability; Land use; Environmental resource management; Computer science; Environmental economics; Engineering; Environmental science; Civil engineering; Economics; Geography; Ecology","score_opus":0.03747278677703662,"score_gpt":0.3298053476411443,"score_spread":0.29233256086410764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104838488","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88402754,0.00009615088,0.11396806,0.0005130364,0.00003380288,0.0011958042,0.000029541408,0.00006604225,0.000070034024],"genre_scores_gemma":[0.99723965,0.00000404234,0.0019511671,0.000112224,0.000066545115,0.000043647084,0.00013174971,0.000008033856,0.00044294834],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99861336,0.00012881441,0.00033205323,0.0003501517,0.00028836384,0.00028724992],"domain_scores_gemma":[0.9993415,0.0002130972,0.0001021831,0.0001530719,0.00011123642,0.000078934514],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011340986,0.0001357817,0.0001593082,0.00004658205,0.00045269565,0.00008514344,0.00008949428,0.00009550318,0.00006391397],"category_scores_gemma":[0.00017876076,0.0001306749,0.000065757136,0.0001365826,0.00011616136,0.0005792557,0.0000025605245,0.00008267287,5.389191e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004289343,0.0005146092,0.8210315,0.00008154881,0.000033741264,0.0000026920281,0.026609236,0.07085863,0.00036276696,0.015892921,0.00008665316,0.06409674],"study_design_scores_gemma":[0.0015715101,0.0003108885,0.67800134,0.000023790455,0.00011003185,2.2424812e-8,0.0011241707,0.2536215,0.00003894858,0.061029192,0.003778664,0.00038994045],"about_ca_topic_score_codex":0.00091772585,"about_ca_topic_score_gemma":0.001451184,"teacher_disagreement_score":0.18276288,"about_ca_system_score_codex":0.00019386088,"about_ca_system_score_gemma":0.00008143834,"threshold_uncertainty_score":0.5328768},"labels":[],"label_agreement":null},{"id":"W2104965618","doi":"10.3141/2468-09","title":"Identifying the Leaders","year":2014,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; University of British Columbia; University of Saskatchewan; Saskatchewan Health; Simon Fraser University","funders":"Canadian Institutes of Health Research; Public Health Agency; Public Health Agency of Canada","keywords":"Popularity; Population; Business; Quarter (Canadian coin); Public transport; Marketing; Survey data collection; Transportation planning; Transport engineering; Engineering; Geography; Environmental health; Medicine; Psychology","score_opus":0.20031107994988917,"score_gpt":0.4586298702506822,"score_spread":0.258318790300793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104965618","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9758243,0.00028661056,0.002661026,0.017127631,0.0010454728,0.00092332927,0.000015787384,0.000040955434,0.002074909],"genre_scores_gemma":[0.9958666,0.00056246313,0.0005187063,0.00013057332,0.0006592892,0.000043059077,0.0000063819434,0.000038026545,0.0021749295],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9877436,0.003584907,0.0013091654,0.00041150433,0.005771719,0.0011790697],"domain_scores_gemma":[0.9929496,0.0021436065,0.0004599255,0.00061738084,0.003392631,0.00043687024],"candidate_categories":["sts","research_integrity"],"consensus_categories":["sts"],"category_scores_codex":[0.0165954,0.00021329717,0.00038575067,0.0005884287,0.003049271,0.00034958278,0.0024374959,0.00021690034,0.0006560674],"category_scores_gemma":[0.0005764222,0.00013476997,0.0005415972,0.0028140263,0.0033010603,0.0010476192,0.000006751769,0.0028275037,0.000046643927],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006119241,0.00024128673,0.9074844,0.0001772381,0.00013515996,0.000034147783,0.0393285,0.00023258562,0.0009235739,0.025732897,0.011554506,0.013543753],"study_design_scores_gemma":[0.00070866477,0.00015047411,0.8604863,0.00018211087,0.000049162678,5.7985922e-8,0.017791033,0.000024926536,0.0003735583,0.015348979,0.10472966,0.00015504297],"about_ca_topic_score_codex":0.03940333,"about_ca_topic_score_gemma":0.27769375,"teacher_disagreement_score":0.23829041,"about_ca_system_score_codex":0.0002451964,"about_ca_system_score_gemma":0.00089695933,"threshold_uncertainty_score":0.99947304},"labels":[],"label_agreement":null},{"id":"W2105195372","doi":"10.4278/ajhp.081006-quan-236","title":"Route Preferences among Adults in the near Market for Bicycling: Findings of the Cycling in Cities Study","year":2010,"lang":"en","type":"article","venue":"American Journal of Health Promotion","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":192,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research; University of British Columbia","keywords":"Cycling; Traffic calming; Transport engineering; Descriptive statistics; Population; Preference; Geography; Pedestrian; Kilometer; Environmental health; Medicine; Engineering; Statistics; Mathematics","score_opus":0.0359221699142603,"score_gpt":0.3587925479508676,"score_spread":0.32287037803660734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2105195372","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99575746,0.000020907217,0.000027846962,0.0028564208,0.0002690439,0.00093915965,0.0000030487386,0.000003223613,0.0001228716],"genre_scores_gemma":[0.99960226,0.000017565868,0.00020490133,0.000053945376,0.00008480184,0.000016679303,4.3052486e-7,0.00000400757,0.000015381758],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978778,0.0007650096,0.0006534396,0.000110240246,0.00036943785,0.00022408631],"domain_scores_gemma":[0.9985671,0.0002885829,0.00088708726,0.00011071329,0.00010659708,0.000039909733],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0073816096,0.00006813911,0.00026373693,0.00008206437,0.00028215747,0.00003858865,0.00042720733,0.000030147605,0.000013930387],"category_scores_gemma":[0.00034701917,0.000039340663,0.00007370942,0.00047560627,0.00047365078,0.00026292377,0.000009703376,0.00040641514,7.441598e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000517983,0.00027640935,0.93662876,0.000023772634,0.0000037440382,3.614934e-7,0.047616933,0.000003865149,0.000003953605,0.000013999999,0.000013560461,0.015362842],"study_design_scores_gemma":[0.00033919554,0.0006354242,0.9575774,0.00014606967,0.0000062832983,2.601781e-7,0.040514894,0.00004119157,0.0000071817994,0.0006290905,0.00006495553,0.000038060774],"about_ca_topic_score_codex":0.010304705,"about_ca_topic_score_gemma":0.050770346,"teacher_disagreement_score":0.04046564,"about_ca_system_score_codex":0.0000521696,"about_ca_system_score_gemma":0.00043141973,"threshold_uncertainty_score":0.99628574},"labels":[],"label_agreement":null},{"id":"W2105554798","doi":"","title":"INFORMING DESIGN CHARRETTES: Tools for participation in neighbourhood-scale planning","year":2006,"lang":"en","type":"article","venue":"Integrated Assessment","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Brainstorming; Participatory planning; Stakeholder; Computer science; Public participation; Participatory design; Urban planning; Process management; Knowledge management; Management science; Sustainable community; Land-use planning; Scale (ratio); Sustainable development; Land use; Environmental planning; Engineering","score_opus":0.062018892789076616,"score_gpt":0.39379635553176967,"score_spread":0.33177746274269304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2105554798","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8276731,0.000041082592,0.15655948,0.0005089596,0.00022917343,0.00081237406,0.000015487316,0.0001032533,0.014057112],"genre_scores_gemma":[0.9931132,0.0000022040163,0.006060824,0.00008337704,0.00014933532,0.00024272411,0.00009401425,0.000009070494,0.0002452587],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986828,0.000088530374,0.00039212022,0.00020840635,0.00024098995,0.00038717946],"domain_scores_gemma":[0.9993117,0.00030612148,0.00011532355,0.00010286996,0.00010814774,0.000055867415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009469654,0.000117638476,0.0001720492,0.00008663788,0.00024009027,0.00022491609,0.00016310874,0.00010300741,0.00013217815],"category_scores_gemma":[0.00007850797,0.00010517308,0.00005700638,0.00032789636,0.00006862228,0.00080885197,0.0000062609074,0.00014964904,0.0000033285023],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006362603,0.00032826496,0.94452965,0.000023508315,0.000014107975,0.0000072590524,0.0051927674,0.002471603,0.00095880893,0.0069867605,0.0006603917,0.038763277],"study_design_scores_gemma":[0.00091981125,0.00010558386,0.96342,0.00017618557,0.00003004942,9.053431e-8,0.0068182703,0.009004452,0.0028563198,0.006465101,0.009841643,0.00036250474],"about_ca_topic_score_codex":0.004407203,"about_ca_topic_score_gemma":0.004622742,"teacher_disagreement_score":0.16544013,"about_ca_system_score_codex":0.00028748318,"about_ca_system_score_gemma":0.00033874705,"threshold_uncertainty_score":0.66624016},"labels":[],"label_agreement":null},{"id":"W2105862054","doi":"10.3141/2190-01","title":"How Far Out of the Way Will We Travel?","year":2010,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":177,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia; University of Victoria","funders":"Canadian Institutes of Health Research; Michael Smith Health Research BC; Heart and Stroke Foundation of Canada","keywords":"TRIPS architecture; Shortest path problem; Transport engineering; Signage; Mode choice; Computer science; Geography; Business; Public transport; Engineering; Advertising","score_opus":0.0986655434760795,"score_gpt":0.40069641247358984,"score_spread":0.3020308689975103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2105862054","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9641769,0.00019711858,0.00047537882,0.030946085,0.0020125231,0.0012164438,0.00010162793,0.000022423363,0.0008515321],"genre_scores_gemma":[0.9932905,0.0008773365,0.0005792427,0.000043829015,0.00048425922,0.00003656002,0.00000652539,0.00004379112,0.004637948],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9891358,0.001746332,0.0013839102,0.0004524909,0.00617576,0.0011057073],"domain_scores_gemma":[0.99220276,0.0010998525,0.00075988175,0.000813277,0.0046270615,0.0004971864],"candidate_categories":["sts","research_integrity"],"consensus_categories":["sts"],"category_scores_codex":[0.008344261,0.00026687427,0.0005457842,0.0005743842,0.0016156466,0.0002541048,0.0029345357,0.0003705162,0.00066440087],"category_scores_gemma":[0.0005657565,0.00016703445,0.00082071166,0.0024877214,0.003374095,0.0013621756,0.000009723221,0.004110229,0.000007827053],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007704223,0.00048329952,0.9069043,0.00027106775,0.00015847676,0.00003573088,0.030042298,0.000036661175,0.028898621,0.017423598,0.0037823888,0.011193141],"study_design_scores_gemma":[0.00089597836,0.00017100332,0.89664006,0.00019023563,0.00006252812,7.7160855e-8,0.0083542345,0.000008900306,0.0054779532,0.009287588,0.07873052,0.00018088918],"about_ca_topic_score_codex":0.019207126,"about_ca_topic_score_gemma":0.51934564,"teacher_disagreement_score":0.5001385,"about_ca_system_score_codex":0.00015071269,"about_ca_system_score_gemma":0.0015626893,"threshold_uncertainty_score":0.9996841},"labels":[],"label_agreement":null},{"id":"W2105863448","doi":"10.1186/1479-5868-6-53","title":"Correspondence of perceived vs. objective proximity to parks and their relationship to park-based physical activity","year":2009,"lang":"en","type":"article","venue":"International Journal of Behavioral Nutrition and Physical Activity","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":132,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute; University of Waterloo","keywords":"Geography; Population; Context (archaeology); Psychology; National park; Social psychology; Demography; Sociology","score_opus":0.04327921981662675,"score_gpt":0.3732956309404372,"score_spread":0.33001641112381047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2105863448","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99533457,0.0000051069205,0.00097654655,0.0031208177,0.00011926003,0.00029229926,0.00006867913,0.000013022988,0.000069730624],"genre_scores_gemma":[0.9994089,0.0000038519065,0.00017183805,0.000081660386,0.00030192803,0.000007521959,0.0000023651373,0.0000043282657,0.000017632517],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987601,0.00020631394,0.00016015694,0.0002141875,0.00051030325,0.0001489595],"domain_scores_gemma":[0.99867755,0.0002905088,0.00021295922,0.00007900965,0.0004946242,0.00024535818],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027694114,0.00013320296,0.00030558088,0.0001279368,0.00014909645,0.00007287609,0.00020541296,0.00006434847,0.000012080482],"category_scores_gemma":[0.000102143356,0.00011325237,0.00014726413,0.00021417772,0.00019423397,0.00076290546,0.000020893189,0.00030337492,0.0000010768761],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.012523659,0.03591939,0.43197957,0.00005219347,0.00007822841,0.00003880988,0.036719598,0.000069198184,0.23399508,0.0017455746,0.0002848565,0.24659383],"study_design_scores_gemma":[0.00065478525,0.0006604582,0.9832065,0.00010125833,0.000028369366,0.0000013704813,0.00034460746,0.00015992204,0.011517952,0.003085769,0.0001099002,0.00012907737],"about_ca_topic_score_codex":0.00029908016,"about_ca_topic_score_gemma":0.00012258861,"teacher_disagreement_score":0.551227,"about_ca_system_score_codex":0.00011671819,"about_ca_system_score_gemma":0.000107155334,"threshold_uncertainty_score":0.46182975},"labels":[],"label_agreement":null},{"id":"W2105912398","doi":"10.1123/jpah.9.8.1080","title":"Validation of Secondary Commercial Data Sources for Physical Activity Facilities in Urban and Nonurban Settings","year":2012,"lang":"en","type":"article","venue":"Journal of Physical Activity and Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Robert Wood Johnson Foundation","keywords":"Metropolitan area; Census; Quarter (Canadian coin); Census tract; Environmental health; Sample (material); Geography; Business; Physical activity; Medicine; Population","score_opus":0.09321023070213501,"score_gpt":0.39126703031472204,"score_spread":0.298056799612587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2105912398","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99656975,0.00015652516,0.00012916491,0.0025545538,0.00007215684,0.00019803885,0.00022660669,0.0000052765345,0.00008792745],"genre_scores_gemma":[0.99898547,0.00002862739,0.000061018087,0.00003768052,0.00085587107,0.0000016821152,0.000007771632,0.0000047654603,0.000017103712],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99890816,0.00020518301,0.0001894051,0.00014878939,0.00026884142,0.000279627],"domain_scores_gemma":[0.9987835,0.00044256,0.0004113743,0.00011334831,0.000057834153,0.00019135249],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015805089,0.000100716024,0.00047171113,0.000055585762,0.0002577916,0.00003388828,0.00016079807,0.000052359148,0.0000038722496],"category_scores_gemma":[0.00007788937,0.00008559315,0.000072011906,0.00010509768,0.00030960236,0.0017849733,0.000045780766,0.00032569093,1.2332299e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00075800886,0.0047107297,0.6746197,0.0009850889,0.000059711358,6.012956e-7,0.10830791,0.0000032516966,0.0019862393,0.0016486789,0.0008334008,0.2060867],"study_design_scores_gemma":[0.00069051684,0.0003955039,0.98853695,0.00007010413,0.00003118699,3.266097e-7,0.0020122381,0.00019825436,0.0031373245,0.001389844,0.003412369,0.0001254029],"about_ca_topic_score_codex":0.0017475516,"about_ca_topic_score_gemma":0.00074685644,"teacher_disagreement_score":0.31391725,"about_ca_system_score_codex":0.000056884866,"about_ca_system_score_gemma":0.00027108527,"threshold_uncertainty_score":0.34903875},"labels":[],"label_agreement":null},{"id":"W2106072690","doi":"10.3141/1851-12","title":"Landscape Design in Clear Zone: Effect of Landscape Variables on Pedestrian Health and Driver Safety","year":2003,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":69,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Southwest University","keywords":"Pedestrian; Transport engineering; Identification (biology); Occupational safety and health; Sample (material); Geography; Perception; Landscape design; Poison control; Environmental planning; Environmental resource management; Environmental health; Engineering; Environmental science; Psychology; Medicine; Ecology","score_opus":0.0680652971822684,"score_gpt":0.39323919742925817,"score_spread":0.3251739002469898,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2106072690","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99430996,0.000599588,0.0009436329,0.0018176293,0.00023674569,0.0013685384,0.00003366921,0.000015387279,0.0006748687],"genre_scores_gemma":[0.99600285,0.002638847,0.00087762834,0.000031595602,0.00007531832,0.000025687892,0.00000992403,0.000029116896,0.00030903862],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98817235,0.0062150992,0.0013705643,0.0004089208,0.0029438906,0.00088920176],"domain_scores_gemma":[0.9946886,0.0030068045,0.00047309307,0.0003249457,0.0009895299,0.00051702955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01836773,0.00021988672,0.0006421453,0.00090143306,0.0007812852,0.00009086791,0.000661859,0.00021332162,0.00042631946],"category_scores_gemma":[0.000598127,0.00016045212,0.00023238218,0.0022213047,0.00080957345,0.00051985803,0.0000028810284,0.0016493471,0.000004584398],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004638192,0.00023870807,0.97574025,0.0003156167,0.00005616196,0.00004052693,0.009968187,0.0006209154,0.00010303511,0.0041453205,0.00094800896,0.003185057],"study_design_scores_gemma":[0.0035021114,0.0023468845,0.9773987,0.00055601256,0.0000294869,1.3749661e-7,0.0060327086,0.00003764795,0.00045087837,0.0022739617,0.0071883416,0.00018313226],"about_ca_topic_score_codex":0.015975747,"about_ca_topic_score_gemma":0.07902703,"teacher_disagreement_score":0.063051276,"about_ca_system_score_codex":0.00017792954,"about_ca_system_score_gemma":0.0015776455,"threshold_uncertainty_score":0.990577},"labels":[],"label_agreement":null},{"id":"W2106076165","doi":"10.1016/j.foar.2012.02.012","title":"Sustainable transportation in the US: A review of proposals, policies, and programs since 2000","year":2012,"lang":"en","type":"review","venue":"Frontiers of Architectural Research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":81,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mandate; Sustainable transport; Government (linguistics); Sustainable development; European union; Gateway (web page); Business; Sustainability; Sustainable community; Public administration; Political science; Economic policy; Computer science","score_opus":0.08942106843160628,"score_gpt":0.42296633713816556,"score_spread":0.33354526870655926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2106076165","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0030715822,0.99148947,0.0000048024303,0.0005559227,0.000043641674,0.0038815679,0.000030245246,0.000010986482,0.000911787],"genre_scores_gemma":[0.004521136,0.9941659,0.00035780304,0.000013499967,0.000087190616,0.00012542335,0.00008533593,0.000017242133,0.0006264693],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9950305,0.0016765896,0.0007942261,0.00032509316,0.0013008107,0.00087273587],"domain_scores_gemma":[0.9986001,0.00027606793,0.00029319018,0.00037302487,0.00033036654,0.00012723147],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007225236,0.00022022972,0.0011225685,0.00028688606,0.00024932585,0.000045752487,0.00096918846,0.00018589309,0.000017134702],"category_scores_gemma":[0.0002827449,0.00013420537,0.00026648055,0.0018907657,0.0017872091,0.00021105568,0.00003090015,0.00081351865,7.352342e-7],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022945294,0.00013441572,0.009896738,0.13733204,0.000037680216,0.0000074480067,0.0111132,7.921775e-8,9.6992686e-8,0.0008393708,0.00056172087,0.8400543],"study_design_scores_gemma":[0.00008434132,0.000090676505,0.0024632937,0.019755313,0.00016666276,8.11756e-7,0.0020510738,2.5512003e-7,6.033445e-7,0.000612729,0.97460985,0.0001644016],"about_ca_topic_score_codex":0.020180367,"about_ca_topic_score_gemma":0.0033351365,"teacher_disagreement_score":0.97404814,"about_ca_system_score_codex":0.00017875242,"about_ca_system_score_gemma":0.0017082902,"threshold_uncertainty_score":0.98634434},"labels":[],"label_agreement":null},{"id":"W2106349542","doi":"10.1007/bf03405399","title":"By your own two feet: factors associated with active transportation in Canada.","year":2007,"lang":"en","type":"article","venue":"PubMed","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":68,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Public Health Agency of Canada","funders":"","keywords":"Cycling; Marital status; Logistic regression; Physical activity; Geography; Work (physics); Demography; Gerontology; Environmental health; Medicine; Population; Physical medicine and rehabilitation; Engineering; Sociology","score_opus":0.02896115711489863,"score_gpt":0.2537572691622689,"score_spread":0.22479611204737024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2106349542","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948771,0.000023181045,0.000025018644,0.00025278056,0.00011426143,0.00043795034,0.0000955738,0.000033217428,0.0041408874],"genre_scores_gemma":[0.999258,0.0000016381978,0.0000021784797,0.00006217813,0.000027152855,0.000054557277,0.00010676627,0.000007850906,0.0004796799],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986507,0.000041504984,0.0001921077,0.00019880147,0.00040924296,0.00050760404],"domain_scores_gemma":[0.99952096,0.000091667906,0.00010269518,0.00006621689,0.000052472464,0.00016599202],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051712873,0.00009477416,0.0001399981,0.0000403307,0.00013573076,0.000021088174,0.00013846235,0.00005499744,0.000046237026],"category_scores_gemma":[0.000056010897,0.00008046119,0.000022860553,0.00046792033,0.00007454527,0.00029010503,0.0000010038252,0.00013265094,2.1551737e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030267942,0.000043066742,0.98761415,0.0000014019213,0.000014102463,0.0000066850707,0.0033652796,0.0000027435199,0.0000038500984,0.000022056856,0.00013387659,0.008762543],"study_design_scores_gemma":[0.00039402448,0.0000023155408,0.99410594,0.0000034287941,0.000012333127,3.5526135e-9,0.00364545,4.4727807e-7,0.0005194548,0.00005074029,0.0011478316,0.000118033684],"about_ca_topic_score_codex":0.95611507,"about_ca_topic_score_gemma":0.999728,"teacher_disagreement_score":0.043612957,"about_ca_system_score_codex":0.00093735533,"about_ca_system_score_gemma":0.00047604222,"threshold_uncertainty_score":0.3281112},"labels":[],"label_agreement":null},{"id":"W2106383147","doi":"10.1007/bf03403837","title":"Creating Neighbourhood Groupings Based on Built Environment Features to Facilitate Health Promotion Activities","year":2012,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Canadian Institutes of Health Research","keywords":"Built environment; Neighbourhood (mathematics); Automatic summarization; Psychological intervention; Computer science; Discriminant function analysis; Knowledge management; Process management; Data science; Business; Engineering; Artificial intelligence; Medicine; Nursing; Machine learning; Mathematics; Civil engineering","score_opus":0.10479450767051222,"score_gpt":0.319518341624414,"score_spread":0.21472383395390177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2106383147","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8594179,0.00084197905,0.00433455,0.1297322,0.0006704488,0.0005057432,0.00007462435,0.000021342405,0.004401191],"genre_scores_gemma":[0.9946195,0.000023416236,0.000777957,0.003676411,0.0005308509,0.0000055249297,0.000008470069,0.000012433907,0.00034543322],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99699503,0.0006053371,0.0004849365,0.00016295144,0.00051529496,0.0012364294],"domain_scores_gemma":[0.9947104,0.000100427686,0.00039629661,0.00016095412,0.000060692084,0.004571244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0060236654,0.00013784281,0.0003028053,0.00037940906,0.0010832706,0.00016906472,0.00027509755,0.00007200735,0.0005363321],"category_scores_gemma":[0.00036672028,0.00012708863,0.0000993031,0.00027909022,0.00013651834,0.0007836854,0.0000046450405,0.0003536094,0.000008696368],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012384017,0.00027089208,0.7568743,0.00009917167,0.000022867369,0.0000061702253,0.099526994,0.00006167912,0.000005612602,0.0026658166,0.004767812,0.13568631],"study_design_scores_gemma":[0.00027206104,0.0006639721,0.88991576,0.00011510789,0.000003846115,0.0000021050523,0.009082332,0.000008350361,0.000006246261,0.00014263928,0.09962021,0.0001673657],"about_ca_topic_score_codex":0.18340494,"about_ca_topic_score_gemma":0.2820187,"teacher_disagreement_score":0.13551894,"about_ca_system_score_codex":0.0024293524,"about_ca_system_score_gemma":0.00841722,"threshold_uncertainty_score":0.9972041},"labels":[],"label_agreement":null},{"id":"W2106535338","doi":"10.1186/1479-5868-9-70","title":"Perceived neighborhood environmental attributes associated with adults’ transport-related walking and cycling: Findings from the USA, Australia and Belgium","year":2012,"lang":"en","type":"article","venue":"International Journal of Behavioral Nutrition and Physical Activity","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":160,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver Community College; University of British Columbia","funders":"National Heart, Lung, and Blood Institute; Medical Research Council; National Cancer Institute; National Institutes of Health; National Health and Medical Research Council; Vlaamse regering; Fonds Wetenschappelijk Onderzoek; Queensland Health","keywords":"Walkability; Cycling; Destinations; Built environment; Geography; Level design; Environmental health; Demography; Physical activity; Gerontology; Psychology; Medicine; Ecology; Sociology; Tourism; Physical medicine and rehabilitation","score_opus":0.039323570238592426,"score_gpt":0.322059892159371,"score_spread":0.2827363219207786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2106535338","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99885523,0.00006904916,0.00001554663,0.0006529157,0.00013509812,0.00010765586,0.00015032825,0.000006398009,0.000007764508],"genre_scores_gemma":[0.9995798,0.00005959331,0.000019229872,0.000017598266,0.00027509045,0.0000024729238,0.000025490443,0.000005142869,0.000015593521],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990637,0.00009346245,0.00016029758,0.00012514005,0.00040119517,0.00015622017],"domain_scores_gemma":[0.999428,0.00016620095,0.00017223171,0.00003367513,0.000056142126,0.00014380358],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020263589,0.000108715954,0.00017613433,0.000026970956,0.00021676802,0.00006790766,0.000109668756,0.00007420337,0.00007892039],"category_scores_gemma":[0.000011377093,0.000077206634,0.0000682805,0.00005177927,0.0003520169,0.00087657815,0.000013216946,0.00029082553,6.1459593e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016812509,0.0012184853,0.9869357,0.0000019396484,0.000050876504,0.000006300341,0.005301203,1.4088678e-7,0.003751996,0.0000592853,0.000005204081,0.0025007965],"study_design_scores_gemma":[0.0012037874,0.00009628187,0.9966538,0.00010520367,0.000117014824,0.0000032533883,0.0007839172,0.000011681849,0.0005145382,0.00036037748,0.000048627466,0.00010149936],"about_ca_topic_score_codex":0.0011891616,"about_ca_topic_score_gemma":0.0005138925,"teacher_disagreement_score":0.00971817,"about_ca_system_score_codex":0.000062120336,"about_ca_system_score_gemma":0.000012442823,"threshold_uncertainty_score":0.3148395},"labels":[],"label_agreement":null},{"id":"W2106789224","doi":"","title":"Assessing the Importance of Social and Environmental Supports for Leisure-Time Physical Activity in a Unique Socio-Cultural and Geographical Context","year":2010,"lang":"en","type":"article","venue":"˜The œinternational electronic journal of health education","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Laurentian University","funders":"","keywords":"Context (archaeology); Public health; Social environment; Psychology; Sample (material); Population; Gerontology; Rural area; Geography; Environmental health; Medicine; Sociology; Social science","score_opus":0.019582680827659935,"score_gpt":0.3780194153034135,"score_spread":0.3584367344757535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2106789224","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97633,0.00025144932,0.00007454004,0.022891557,0.00017378342,0.00023607089,0.000005079256,0.0000020657744,0.000035470122],"genre_scores_gemma":[0.9993637,0.00008049737,0.000020380307,0.00014296563,0.00032752063,0.000009607147,0.0000070885776,0.00000395423,0.00004427741],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999029,0.00013923676,0.000262694,0.000102163525,0.00025860124,0.00020834868],"domain_scores_gemma":[0.9991443,0.00020705149,0.0004902806,0.000042115305,0.00007497651,0.00004125219],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020038127,0.00006443316,0.00016509621,0.000038562004,0.00035408375,0.000057347686,0.00016484206,0.00004837121,0.00001600389],"category_scores_gemma":[0.00003246318,0.000042309075,0.00006767175,0.000058500817,0.00036803674,0.0003946401,0.000009629857,0.00041193338,7.117821e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000082944556,0.0006005305,0.9238925,0.000019321493,0.00004399234,1.6741569e-7,0.010285932,4.8906827e-7,0.0032765383,0.017246857,0.00021475118,0.04433596],"study_design_scores_gemma":[0.00034938235,0.00006996035,0.9779331,0.000012271942,0.000016482696,0.0000076249094,0.006507031,0.00012664682,0.00007151562,0.011539126,0.0033063868,0.000060471906],"about_ca_topic_score_codex":0.0007043044,"about_ca_topic_score_gemma":0.004777285,"teacher_disagreement_score":0.054040585,"about_ca_system_score_codex":0.00019447676,"about_ca_system_score_gemma":0.0014378511,"threshold_uncertainty_score":0.27233616},"labels":[],"label_agreement":null},{"id":"W2106913814","doi":"10.3141/2314-09","title":"Better Understanding of Factors Influencing Likelihood of Using Shared Bicycle Systems and Frequency of Use","year":2012,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":341,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University; Quebec Rehabilitation Research Network","funders":"","keywords":"Popularity; Public transport; Business; Flexibility (engineering); Sustainable transport; Transport engineering; Variety (cybernetics); Cycling; Marketing; Sustainability; Advertising; Engineering; Geography; Psychology; Computer science; Economics","score_opus":0.2536408959674276,"score_gpt":0.4193444933943952,"score_spread":0.1657035974269676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2106913814","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971258,0.00049454963,0.0010193998,0.00017668052,0.00030803846,0.0006693333,0.00013422871,0.000008655002,0.000063322615],"genre_scores_gemma":[0.9985688,0.00022494538,0.0010422012,0.000003879869,0.00009421932,0.0000055747687,0.000007626137,0.000026412612,0.000026358492],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9929781,0.0011598426,0.0017084422,0.0002271518,0.003155193,0.0007712739],"domain_scores_gemma":[0.99464476,0.0012305682,0.0009968296,0.00029960767,0.0024525991,0.00037562285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005922451,0.00017626194,0.0005777965,0.00090642646,0.00048987946,0.000071661474,0.0006293792,0.00020465931,0.00012350014],"category_scores_gemma":[0.00026706452,0.00013658099,0.00029169602,0.0018105699,0.0014302196,0.0020354867,0.000005900365,0.0009014689,3.4220167e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020686572,0.00015522767,0.95873106,0.00049264316,0.00011023196,0.000003698215,0.022439275,0.000093444636,0.01578151,0.001831314,0.000029430104,0.00012532294],"study_design_scores_gemma":[0.0005678519,0.00012675907,0.9707095,0.0006514983,0.000083150706,5.4792068e-8,0.023122918,0.000024367622,0.0027264135,0.0018128062,0.000058393776,0.00011629804],"about_ca_topic_score_codex":0.11501501,"about_ca_topic_score_gemma":0.041864377,"teacher_disagreement_score":0.07315063,"about_ca_system_score_codex":0.00027944555,"about_ca_system_score_gemma":0.00071300415,"threshold_uncertainty_score":0.9756191},"labels":[],"label_agreement":null},{"id":"W2106971360","doi":"10.1177/0885412207314010","title":"Models of Transportation and Land Use Change: A Guide to the Territory","year":2008,"lang":"en","type":"article","venue":"Journal of Planning Literature","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Variety (cybernetics); Field (mathematics); Land use; Land use, land-use change and forestry; Environmental planning; Computer science; Regional science; Environmental resource management; Transport engineering; Geography; Management science; Engineering; Civil engineering; Economics; Artificial intelligence","score_opus":0.055771665319088684,"score_gpt":0.31933683074350844,"score_spread":0.26356516542441977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2106971360","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9960744,0.0023627083,0.00020824833,0.00090133847,0.00017451907,0.000083341845,0.000040668267,0.0000048017723,0.00015001722],"genre_scores_gemma":[0.99819756,0.00006965749,0.00076288765,0.000208725,0.0004946256,0.0000010416192,0.000005338705,0.0000034690947,0.00025671767],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99929506,0.000047801634,0.00024267378,0.00006514714,0.00025447967,0.00009482501],"domain_scores_gemma":[0.9994921,0.000055950026,0.00016187274,0.00005961119,0.00015577547,0.000074663265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003731746,0.000055940895,0.00012928294,0.00006345686,0.00015870143,0.000047709716,0.00012402037,0.000065742635,0.0000042035317],"category_scores_gemma":[0.000025768144,0.00003503975,0.00005199552,0.00014770737,0.00006279819,0.00072689843,0.0000020507437,0.0001735423,8.519193e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010287703,0.000028428176,0.75729764,0.000023251156,0.00001914253,0.00010456975,0.23617654,0.00019791511,0.00014614032,0.00008692023,0.005507836,0.00030873946],"study_design_scores_gemma":[0.00025192468,0.00006724408,0.93742436,0.000353077,0.000027582879,0.000010292124,0.00080118905,0.000026627973,0.000045838136,0.00020825773,0.060710598,0.00007302632],"about_ca_topic_score_codex":0.00025651735,"about_ca_topic_score_gemma":0.00029222068,"teacher_disagreement_score":0.23537534,"about_ca_system_score_codex":0.0000111017125,"about_ca_system_score_gemma":0.000051305095,"threshold_uncertainty_score":0.14288795},"labels":[],"label_agreement":null},{"id":"W2107540337","doi":"10.1068/a37424","title":"Social Influence on Travel Behavior: A Simulation Example of the Decision to Telecommute","year":2007,"lang":"en","type":"article","venue":"Environment and Planning A Economy and Space","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":195,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Telecommuting; Externality; Social influence; Operations research; Travel behavior; Computer science; Microeconomics; Social psychology; Economics; Management science; Sociology; Psychology; Engineering","score_opus":0.030825395705983725,"score_gpt":0.29862334875006363,"score_spread":0.2677979530440799,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2107540337","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99664474,0.00004266909,0.0009710647,0.00019384587,0.000021286914,0.00016116079,0.0000023324853,0.000004581114,0.0019583171],"genre_scores_gemma":[0.9995529,0.0000052831283,0.00015648361,0.00008640664,0.000043522137,0.000002807402,9.836399e-7,0.0000023955206,0.00014920687],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995364,0.000021112923,0.000114308816,0.00013454963,0.00007619309,0.00011745331],"domain_scores_gemma":[0.9996568,0.00016807823,0.00005215522,0.00006808924,0.0000034256545,0.000051479823],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043749422,0.000056692003,0.00008146504,0.000023532471,0.00037007796,0.000021092632,0.00006673492,0.000050236977,0.000023493321],"category_scores_gemma":[0.000011574611,0.000046337187,0.000020790274,0.000036995207,0.000109507244,0.000087381704,0.000017288727,0.00006719242,0.0000015093361],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004064883,0.000025650439,0.9773011,0.0000024869141,0.0000027378976,6.5538137e-7,0.013512989,0.00084897154,0.00005427194,0.00048829644,0.000021097248,0.007701072],"study_design_scores_gemma":[0.000121237164,0.00002512724,0.98353106,0.000011488869,0.000008247323,4.205836e-8,0.0008977913,0.00003128648,0.00013237458,0.00032583866,0.0148541,0.000061388324],"about_ca_topic_score_codex":0.00043890934,"about_ca_topic_score_gemma":0.00019315243,"teacher_disagreement_score":0.014833002,"about_ca_system_score_codex":0.000020674433,"about_ca_system_score_gemma":0.000007418007,"threshold_uncertainty_score":0.2846378},"labels":[],"label_agreement":null},{"id":"W2107666450","doi":"10.1111/1475-4762.00177","title":"The walking school bus: extending children's geographies?","year":2003,"lang":"en","type":"article","venue":"Area","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":139,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"School bus; Ambivalence; Hegemony; Sociology; Psychology; Political science; Transport engineering; Engineering; Social psychology; Politics","score_opus":0.013561939370842786,"score_gpt":0.26913212515576185,"score_spread":0.2555701857849191,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2107666450","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9302849,0.0010305197,0.000059976966,0.00033121157,0.00028916352,0.00015077887,0.0000018407197,0.00008672681,0.06776488],"genre_scores_gemma":[0.99859315,0.00024523138,0.00007404088,0.00009236195,0.000107777305,0.000008134566,0.0000020951925,0.000005800134,0.00087140605],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99903804,0.000095401425,0.00012966726,0.00017469056,0.00023430545,0.00032789967],"domain_scores_gemma":[0.99950385,0.00010793766,0.000050439885,0.00019835538,0.00003699385,0.00010241214],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0007863076,0.00007226834,0.00007180775,0.00003287598,0.0015967733,0.00016632366,0.00026113968,0.00004694975,0.00039558223],"category_scores_gemma":[0.00028223716,0.000050534738,0.00007788575,0.00037148478,0.00026641288,0.00022963116,0.000009227476,0.00012382334,0.000030618547],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000017995171,0.000013321988,0.9817914,7.919026e-7,0.000010546261,0.000001210655,0.00060074194,3.7278e-7,0.000008293622,0.013235274,0.0004253157,0.00391094],"study_design_scores_gemma":[0.00009655789,0.000004852965,0.95668226,0.0000099554245,0.000011697969,2.4726114e-7,0.0013376296,6.9808823e-7,0.00006123507,0.010500289,0.031193018,0.00010156584],"about_ca_topic_score_codex":0.0011829578,"about_ca_topic_score_gemma":0.0024672141,"teacher_disagreement_score":0.06830825,"about_ca_system_score_codex":0.000025674804,"about_ca_system_score_gemma":0.000060274535,"threshold_uncertainty_score":0.999703},"labels":[],"label_agreement":null},{"id":"W2107717405","doi":"10.1136/bjsm.2010.076265","title":"Time to walk the talk: embracing the built environment to promote physical mobility","year":2010,"lang":"en","type":"article","venue":"British Journal of Sports Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science","score_opus":0.009249684949421468,"score_gpt":0.2668793758367904,"score_spread":0.2576296908873689,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2107717405","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97749364,0.0002852221,0.00003809524,0.018540982,0.0004105987,0.00046054562,0.000004154555,0.000013467801,0.0027533027],"genre_scores_gemma":[0.995058,0.000048477443,0.000109188775,0.0007971782,0.0021837468,0.000005594727,0.0000010972026,0.000010402247,0.0017863407],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.997822,0.00006463299,0.0004847857,0.0002060885,0.0011120429,0.00031049195],"domain_scores_gemma":[0.9989015,0.00009018518,0.00023292511,0.00027831428,0.00013098863,0.00036607115],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003576139,0.00011383004,0.00030316875,0.00003364245,0.0005222559,0.00006065514,0.0006320023,0.000053123003,0.00254782],"category_scores_gemma":[0.0003728922,0.00006792595,0.000116565236,0.00023294594,0.0006860118,0.00018070404,0.000044546912,0.0006068546,0.000028327959],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009181689,0.00048693715,0.01160147,0.000017447574,0.000043852837,0.0006114481,0.023336496,0.000049213893,0.0061248057,0.00008580374,0.0105495155,0.9470012],"study_design_scores_gemma":[0.00035194558,0.00012892339,0.8606618,0.0004411292,0.00009571517,0.000120846715,0.0016937986,0.000013109099,0.000315872,0.0025998366,0.13341074,0.000166268],"about_ca_topic_score_codex":0.0016280066,"about_ca_topic_score_gemma":0.00064116664,"teacher_disagreement_score":0.9468349,"about_ca_system_score_codex":0.00004819377,"about_ca_system_score_gemma":0.0001074175,"threshold_uncertainty_score":0.998364},"labels":[],"label_agreement":null},{"id":"W2108024864","doi":"10.1123/japa.2014-0004","title":"Spatial Measurement of Mobility Barriers: Improving the Environment of Community-Dwelling Older Adults in Taiwan","year":2014,"lang":"en","type":"article","venue":"Journal of Aging and Physical Activity","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Cheng Kung University; National Institute on Aging; National Institutes of Health; University of Lethbridge","keywords":"Walkability; Fear of falling; Environmental health; Gerontology; Space syntax; Public transport; Built environment; Business; Geography; Psychology; Physical activity; Transport engineering; Poison control; Medicine; Human factors and ergonomics; Physical medicine and rehabilitation; Engineering; Civil engineering; Marketing","score_opus":0.019206539918221098,"score_gpt":0.2619938460456632,"score_spread":0.24278730612744212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108024864","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99792033,0.000039151582,0.0015152601,0.0003036587,0.00004389732,0.00008693308,0.0000016513746,0.0000020920695,0.00008702436],"genre_scores_gemma":[0.9998539,0.000004550556,0.00002874012,0.000007367958,0.00010064364,7.5281514e-7,9.160286e-8,0.0000027850706,0.0000011317028],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984644,0.00064653956,0.000229488,0.0000709605,0.00046501565,0.00012359528],"domain_scores_gemma":[0.9991553,0.00021206372,0.00035911304,0.00013845769,0.00006009544,0.00007498624],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003376914,0.00007141663,0.00025847668,0.000025604128,0.00020360178,0.000013791041,0.0001814783,0.000030542087,0.0000058088744],"category_scores_gemma":[0.00014759452,0.000048278,0.000098926816,0.0000676611,0.00032175556,0.00019243114,0.000026949832,0.0004228447,6.1360936e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023299865,0.0022842514,0.65213937,0.00027987664,0.00005244294,6.8406786e-7,0.103665516,0.00022945747,0.016186683,0.00006830554,0.0000026577386,0.22485776],"study_design_scores_gemma":[0.0005403904,0.00014801718,0.9753135,0.00016953399,0.000040190993,1.0273327e-7,0.0050917747,0.0010157841,0.016535224,0.0010393468,0.000029517601,0.000076630786],"about_ca_topic_score_codex":0.0063710534,"about_ca_topic_score_gemma":0.00082432554,"teacher_disagreement_score":0.32317412,"about_ca_system_score_codex":0.000058611964,"about_ca_system_score_gemma":0.00006612616,"threshold_uncertainty_score":0.96311694},"labels":[],"label_agreement":null},{"id":"W2108150600","doi":"10.1123/jpah.7.s1.s82","title":"Healthy Aging and Where You Live: Community Design Relationships With Physical Activity and Body Weight in Older Americans","year":2010,"lang":"en","type":"article","venue":"Journal of Physical Activity and Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":213,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver Community College; University of British Columbia","funders":"","keywords":"Gerontology; Physical activity; Psychology; Body weight; Medicine; Physical therapy; Internal medicine","score_opus":0.06955423797029378,"score_gpt":0.3730268871529259,"score_spread":0.30347264918263217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108150600","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98995155,0.000076267585,0.0007653724,0.008839958,0.0000393022,0.00023015673,0.0000048984216,0.000012239348,0.00008026665],"genre_scores_gemma":[0.99893314,0.00017904583,0.00048121763,0.00007678712,0.0003072136,0.0000027622045,3.5244685e-7,0.000008475323,0.000011008698],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99802655,0.0010295955,0.00015772702,0.00017981582,0.00029841487,0.00030788325],"domain_scores_gemma":[0.99824286,0.00081770984,0.00035613083,0.00012235585,0.000069161266,0.00039178587],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018116005,0.00014308018,0.00048147762,0.00006914766,0.0011119256,0.00007470569,0.00011103163,0.0000698297,0.0000038057783],"category_scores_gemma":[0.00005014799,0.00010975435,0.000045016925,0.00023861333,0.0006504537,0.0009294299,0.000027213704,0.0022480818,2.9787213e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040367933,0.0037117258,0.9133113,0.00020454763,0.00003044161,0.000007633135,0.042983063,0.000003088069,0.0015821991,0.001039425,0.00003794448,0.036684934],"study_design_scores_gemma":[0.0006213105,0.0005662248,0.9942216,0.000080273996,0.00002092364,0.0000034422271,0.0017283172,0.0004301179,0.000075537406,0.002054807,0.00007797118,0.00011944773],"about_ca_topic_score_codex":0.012386815,"about_ca_topic_score_gemma":0.025379146,"teacher_disagreement_score":0.08091031,"about_ca_system_score_codex":0.00008427889,"about_ca_system_score_gemma":0.00044476884,"threshold_uncertainty_score":0.9941898},"labels":[],"label_agreement":null},{"id":"W2108286405","doi":"10.1016/j.alter.2014.04.003","title":"Exploring the facilitators and barriers to shopping mall use by persons with disabilities and strategies for improvements","year":2014,"lang":"en","type":"article","venue":"Alter","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Quebec Rehabilitation Research Network; Centre for Interdisciplinary Research in Rehabilitation; Université de Montréal","funders":"","keywords":"Rehabilitation; Psychology; Shopping mall; Applied psychology; Advertising; Business","score_opus":0.06622553076302336,"score_gpt":0.2903668232522436,"score_spread":0.22414129248922027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108286405","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977724,0.000019850873,0.0006614319,0.00088572607,0.000054380165,0.0003046489,0.000031749216,0.000019550112,0.00025026884],"genre_scores_gemma":[0.99901915,0.000004669544,0.00011953211,0.00031096058,0.00004425434,0.000096263786,0.000001307403,0.0000051438924,0.00039870542],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9994071,0.00003148819,0.00007497246,0.0001874558,0.00010114847,0.00019781903],"domain_scores_gemma":[0.99955213,0.00019099486,0.000014736083,0.00009151656,0.000020280464,0.00013034721],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026692168,0.00007263055,0.00007665367,0.000011635697,0.00046699308,0.0002208529,0.000074690906,0.000014235577,0.000015881893],"category_scores_gemma":[0.00008781047,0.000045966077,0.000016561255,0.000040726347,0.00031385454,0.0009946937,0.000013069104,0.000037224054,3.2068334e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003321241,0.0000049343366,0.9394752,0.000030312758,0.000018298395,6.0633326e-8,0.05533166,0.0000021332478,0.00024460087,0.0024871826,0.00025517406,0.0021172466],"study_design_scores_gemma":[0.0008071013,0.00042718987,0.32978165,0.000067427914,0.00007703273,1.16781706e-7,0.5883352,0.000093744646,0.0003009168,0.0023949114,0.07715385,0.0005608473],"about_ca_topic_score_codex":0.0015065898,"about_ca_topic_score_gemma":0.0038075568,"teacher_disagreement_score":0.6096935,"about_ca_system_score_codex":0.000013484841,"about_ca_system_score_gemma":0.000028032322,"threshold_uncertainty_score":0.35917804},"labels":[],"label_agreement":null},{"id":"W2108452435","doi":"10.1007/s11116-013-9509-y","title":"Analyzing commuter train user behavior: a decision framework for access mode and station choice","year":2013,"lang":"en","type":"article","venue":"Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":70,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Ministère des Transports","funders":"","keywords":"Mode (computer interface); Mode choice; Transport engineering; Hierarchy; Travel behavior; Service (business); Function (biology); Segmentation; Computer science; Latent variable; Engineering; Operations research; Public transport; Artificial intelligence; Human–computer interaction","score_opus":0.04473850803747751,"score_gpt":0.39088163117757285,"score_spread":0.3461431231400953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108452435","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77193093,0.000039567578,0.22670889,0.00029829133,0.000091904454,0.0007578925,0.000057718782,0.00005846547,0.000056333894],"genre_scores_gemma":[0.98276603,0.000031311865,0.016479002,0.00009850208,0.00008821932,0.00023873197,0.0002221177,0.000013912914,0.000062162195],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99894786,0.000037993446,0.00030474528,0.00025806428,0.00022286447,0.00022847031],"domain_scores_gemma":[0.9991758,0.00033025886,0.00010552008,0.00012944509,0.00015205462,0.000106920794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026328617,0.000110023975,0.00014817402,0.000071451315,0.00038277352,0.00020834015,0.00018202885,0.00013994884,0.00026283736],"category_scores_gemma":[0.000043250595,0.000107603526,0.00006613461,0.00021767573,0.000099797326,0.0015643032,0.0000016157534,0.000111557456,0.0000035325331],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028191747,0.00007062449,0.9513743,0.000029231991,0.000009018757,4.622166e-7,0.008603686,0.000039122286,0.00015031362,0.0041023386,0.00010064588,0.035492044],"study_design_scores_gemma":[0.00033326173,0.000018525,0.97025627,0.00003431227,0.00006793343,1.4735791e-8,0.00054755196,0.00018203231,0.000091026755,0.027622756,0.0007063106,0.00013997701],"about_ca_topic_score_codex":0.009621067,"about_ca_topic_score_gemma":0.03748422,"teacher_disagreement_score":0.2108351,"about_ca_system_score_codex":0.000033213117,"about_ca_system_score_gemma":0.000042390995,"threshold_uncertainty_score":0.99697393},"labels":[],"label_agreement":null},{"id":"W2108783611","doi":"10.1016/j.trf.2015.08.001","title":"Am stressed, must travel: The relationship between mode choice and commuting stress","year":2015,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":193,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Stressor; SAFER; Public transport; Mode (computer interface); Mode choice; Stress (linguistics); Transport engineering; Psychology; Environmental health; Logistic regression; Public health; Social psychology; Engineering; Medicine; Computer science; Computer security; Clinical psychology","score_opus":0.3026307502475791,"score_gpt":0.49405775014657016,"score_spread":0.1914269998989911,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108783611","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99383414,0.00041796372,0.000059204587,0.003983468,0.00012788897,0.00048954005,0.00014536502,0.00007471788,0.0008677094],"genre_scores_gemma":[0.99903226,0.00006995014,0.000046456706,0.00006055889,0.00020906942,0.000051337858,0.00017904601,0.000013861551,0.00033746602],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973378,0.00072678877,0.000382467,0.00043240268,0.0005949333,0.0005255969],"domain_scores_gemma":[0.99794996,0.0011406974,0.00008555667,0.0002617677,0.00021093595,0.0003510657],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0026444255,0.0001437849,0.0002045063,0.00012222494,0.0015071569,0.00009793883,0.0003336178,0.00025722903,0.000049473885],"category_scores_gemma":[0.00017061195,0.00011788336,0.000044540076,0.00046086282,0.0015108148,0.00030649203,0.0000060995685,0.00084145484,0.000006741548],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030532567,0.00008918312,0.98223215,0.000015042487,0.0000103837665,0.0000068250065,0.013755425,0.000019327377,0.0000022250688,0.0010233127,0.00061438617,0.0022012293],"study_design_scores_gemma":[0.0007394566,0.00006423145,0.9896697,0.000032026874,0.000046547186,2.3651691e-7,0.007446221,0.000016543168,0.0000046812975,0.0007830328,0.0010657653,0.00013157749],"about_ca_topic_score_codex":0.003160126,"about_ca_topic_score_gemma":0.038839146,"teacher_disagreement_score":0.03567902,"about_ca_system_score_codex":0.00002242955,"about_ca_system_score_gemma":0.00013504455,"threshold_uncertainty_score":0.99979275},"labels":[],"label_agreement":null},{"id":"W2109103283","doi":"10.1177/0013916505277605","title":"Informal Social Support and Use of a Specialized Transportation System by Chronically Ill Older Adults","year":2006,"lang":"en","type":"article","venue":"Environment and Behavior","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Helpfulness; Social support; Marital status; Gerontology; Context (archaeology); Metropolitan area; Service (business); Logistic regression; Psychology; Environmental health; Medicine; Social psychology; Business; Marketing; Geography","score_opus":0.009687744985506732,"score_gpt":0.23291904389708123,"score_spread":0.2232312989115745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109103283","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990253,0.0000622001,0.000033780616,0.00005142826,0.000041056504,0.00033959348,0.00011568738,0.000021399339,0.00030955442],"genre_scores_gemma":[0.9989315,0.000037763846,0.0000975689,0.000012875852,0.00008836144,0.0000229434,0.0001395894,0.000005986417,0.0006634118],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99908346,0.000023465775,0.00029251052,0.000170592,0.00025811372,0.00017186058],"domain_scores_gemma":[0.9997597,0.0000125113565,0.00010593914,0.00005509302,0.000010450444,0.000056359277],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000128725,0.00009413867,0.0001584759,0.000019159634,0.00019864939,0.000031758114,0.000050111743,0.000103251914,0.00027241453],"category_scores_gemma":[0.0000011663678,0.00008860822,0.000047487567,0.0000342748,0.000318565,0.00033681796,0.000004889754,0.000055031116,0.00000204918],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057618843,0.00024528016,0.9881469,0.000045717465,0.0000045814927,0.000004825593,0.00407406,2.2760469e-7,0.0005510719,0.00029851313,0.0002790606,0.006292138],"study_design_scores_gemma":[0.00075246545,0.000034999153,0.9890449,0.000010732724,0.000097234275,1.08921256e-7,0.0007114133,0.0000013380975,0.00022151021,0.0000021374035,0.009013726,0.000109424545],"about_ca_topic_score_codex":0.002056494,"about_ca_topic_score_gemma":0.0011127626,"teacher_disagreement_score":0.008734666,"about_ca_system_score_codex":0.000034693465,"about_ca_system_score_gemma":0.000019600195,"threshold_uncertainty_score":0.36133385},"labels":[],"label_agreement":null},{"id":"W2109146397","doi":"","title":"Accessibility- vs. Mobility-Enhancing Strategies for Addressing Automobile Dependence in the U.S","year":2002,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":66,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Kilometer; Population; Agricultural economics; Geography; Government (linguistics); Demography; Economics; Engineering; Transport engineering","score_opus":0.0447052153236397,"score_gpt":0.2909463845320726,"score_spread":0.24624116920843292,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109146397","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9428351,0.0005780357,0.0005850213,0.0013550064,0.00017182135,0.0012650479,0.00065225206,0.0004037659,0.05215394],"genre_scores_gemma":[0.9976543,0.000017218515,0.00041743828,0.00063497387,0.0002697887,0.00019075225,0.00010800473,0.000038009566,0.00066949823],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9965821,0.00036242945,0.0007359618,0.0007629916,0.00069405383,0.0008624829],"domain_scores_gemma":[0.9979637,0.0009708038,0.00019056918,0.00059356773,0.000067201116,0.00021410196],"candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0016671147,0.00030887168,0.00035167704,0.00012899641,0.00092752377,0.0047233747,0.0015726967,0.00024110592,0.0012210993],"category_scores_gemma":[0.0006770175,0.000239093,0.0002478977,0.0009636508,0.0005102977,0.012684739,0.00009552248,0.00066813896,0.00018259264],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001273077,0.0009358299,0.97247124,0.00024100591,0.000018943023,0.00003232809,0.0047443747,0.000018749512,0.00006375461,0.004904348,0.0012736907,0.0151684275],"study_design_scores_gemma":[0.0024037026,0.00031505135,0.34991425,0.00064222503,0.00008705645,0.0000044711037,0.021495191,0.0010961174,0.0014014756,0.289443,0.3309845,0.0022129847],"about_ca_topic_score_codex":0.00011779477,"about_ca_topic_score_gemma":0.0010369488,"teacher_disagreement_score":0.622557,"about_ca_system_score_codex":0.00008732642,"about_ca_system_score_gemma":0.0002881492,"threshold_uncertainty_score":0.9996919},"labels":[],"label_agreement":null},{"id":"W2109264111","doi":"10.1177/0042098014528393","title":"The ‘constant size neighbourhood trap’ in accessibility and health studies","year":2014,"lang":"en","type":"article","venue":"Urban Studies","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":80,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Institut pour la Recherche en Santé Publique; Université de Montréal; Centre National de la Recherche Scientifique","keywords":"Neighbourhood (mathematics); Metropolitan area; Geography; Inequality; Mathematics","score_opus":0.07741132929297366,"score_gpt":0.3948356261653857,"score_spread":0.317424296872412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109264111","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8855553,0.08882579,0.000008345456,0.017652191,0.00049463805,0.000475341,0.0000054317998,0.00008707445,0.006895844],"genre_scores_gemma":[0.9915588,0.0071137873,0.000060210303,0.00045240312,0.0002032844,0.00003682686,3.4999863e-7,0.0000072041576,0.00056715484],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997855,0.000395788,0.00048833963,0.00041755041,0.00031394573,0.0005293539],"domain_scores_gemma":[0.9977726,0.0015447614,0.00016627471,0.00027247478,0.00013864695,0.00010525718],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.004064988,0.00017648973,0.00048303715,0.000032359494,0.0017313922,0.00009346842,0.00027682818,0.00004898715,0.000010807688],"category_scores_gemma":[0.0013334986,0.0001106423,0.00006461863,0.00033201184,0.0018004526,0.0002490869,0.00008879179,0.00018350816,0.0000025123447],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017082079,0.00004723907,0.93348724,0.00005796809,0.00007243094,0.0000010633776,0.03560661,1.6246975e-7,0.0000014439537,0.009793421,0.0017744112,0.019140935],"study_design_scores_gemma":[0.00039269033,0.000057765603,0.91729873,0.000061784725,0.000015854406,8.203928e-8,0.039242458,0.0000034622058,0.0000070078813,0.034803648,0.007964049,0.00015246404],"about_ca_topic_score_codex":0.00088225346,"about_ca_topic_score_gemma":0.0769414,"teacher_disagreement_score":0.10600343,"about_ca_system_score_codex":0.00017975274,"about_ca_system_score_gemma":0.00013933875,"threshold_uncertainty_score":0.9995682},"labels":[],"label_agreement":null},{"id":"W2109723680","doi":"10.1177/0042098013519140","title":"Do parental perceptions of the neighbourhood environment influence children’s independent mobility? Evidence from Toronto, Canada","year":2014,"lang":"en","type":"article","venue":"Urban Studies","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":128,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University; University of Toronto; Toronto Metropolitan University","funders":"Canadian Institutes of Health Research; Heart and Stroke Foundation of Canada","keywords":"Neighbourhood (mathematics); Geography; Demographic economics; Sociology; Perception; Psychology; Economic geography; Demography; Regional science; Economics","score_opus":0.015387521723968551,"score_gpt":0.2691010633235294,"score_spread":0.25371354159956083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109723680","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9924459,0.005912015,0.000013363687,0.0003550972,0.00026091424,0.00030052604,0.00006996861,0.000017689325,0.0006245229],"genre_scores_gemma":[0.9990777,0.00043699198,0.000028886483,0.000089509085,0.00016290438,0.000030228495,0.0000025897227,0.0000054877173,0.0001657103],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981895,0.00019744714,0.000315125,0.00034624155,0.00069517625,0.00025651781],"domain_scores_gemma":[0.999025,0.00023775532,0.00014844399,0.00044166463,0.00006394446,0.00008318545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037609183,0.00014365243,0.00024257599,0.0000073009423,0.0006165991,0.000025366291,0.0005254684,0.000050137787,0.00059393106],"category_scores_gemma":[0.00024629539,0.000101765356,0.00009519839,0.00006827987,0.00064410124,0.0002997879,0.00013886162,0.00011830697,0.000004199249],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004967032,0.000057010016,0.9870034,0.000005982755,0.00005344771,1.5322033e-7,0.0114987455,0.000029964049,0.00006590682,0.000102324,0.0004788128,0.0006992771],"study_design_scores_gemma":[0.00009992645,0.000016562362,0.9906453,0.00005906588,0.00005321617,4.007855e-8,0.008204352,0.0000022347924,0.00007792101,0.00036021657,0.00036388155,0.000117322896],"about_ca_topic_score_codex":0.8887705,"about_ca_topic_score_gemma":0.97184116,"teacher_disagreement_score":0.083070636,"about_ca_system_score_codex":0.0006514203,"about_ca_system_score_gemma":0.00021503739,"threshold_uncertainty_score":0.65031284},"labels":[],"label_agreement":null},{"id":"W2109956986","doi":"10.1186/s12966-014-0129-5","title":"A systematic review of active transportation research in Africa and the psychometric properties of measurement tools for children and youth","year":2014,"lang":"en","type":"review","venue":"International Journal of Behavioral Nutrition and Physical Activity","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Children's Hospital of Eastern Ontario","funders":"Canadian Institutes of Health Research; International Development Research Centre","keywords":"PsycINFO; MEDLINE; Psychosocial; Checklist; Medicine; Systematic review; Population; Gerontology; Psychology; Family medicine; Psychiatry; Environmental health","score_opus":0.27976548129920764,"score_gpt":0.44736261062267263,"score_spread":0.167597129323465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109956986","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15024078,0.8472942,0.000020736938,0.00016493349,0.00005076424,0.002003867,0.00021510794,0.0000016387161,0.0000079577785],"genre_scores_gemma":[0.51410884,0.48578253,0.0000062204776,0.0000015719764,0.00005171185,0.000039667764,0.000005849543,0.0000028871568,7.552948e-7],"study_design_codex":"design_other","study_design_gemma":"systematic_review","domain_scores_codex":[0.9976784,0.0006293726,0.0005797242,0.00013463788,0.00088383397,0.00009402609],"domain_scores_gemma":[0.99788713,0.00033842234,0.0008146471,0.00006165837,0.0008509947,0.00004717248],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024999767,0.000110686866,0.0011460906,0.00022694745,0.00005697666,0.000046775174,0.00020151996,0.00006699101,0.0000010378429],"category_scores_gemma":[0.00019454554,0.000065285996,0.00026228072,0.00028092237,0.00040806222,0.00032925516,0.0000086366435,0.00026052704,3.2562973e-8],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007688123,0.0031641657,0.00024915714,0.4929038,0.00035392022,8.21922e-7,0.008599442,3.114042e-8,0.000022870898,0.0008513324,0.0000131235765,0.49307254],"study_design_scores_gemma":[0.0035080635,0.00044256862,0.009997664,0.9787862,0.0031576972,0.0000031435009,0.0014597562,0.0000022880572,0.000072628856,0.0015064317,0.0007857249,0.00027786885],"about_ca_topic_score_codex":0.0004183216,"about_ca_topic_score_gemma":0.00009036165,"teacher_disagreement_score":0.49279466,"about_ca_system_score_codex":0.00007643524,"about_ca_system_score_gemma":0.00009674463,"threshold_uncertainty_score":0.26622856},"labels":[],"label_agreement":null},{"id":"W2110435097","doi":"10.7202/1005874ar","title":"La gouvernance climatique face à la mobilité quotidienne. Le cas des Lyonnais","year":2011,"lang":"fr","type":"article","venue":"Environnement urbain","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Art","score_opus":0.033427050282077105,"score_gpt":0.2662008402451362,"score_spread":0.23277378996305909,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110435097","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8639298,0.011914594,0.0025274921,0.0009513409,0.0005591628,0.00054200616,0.000079067,0.00010432502,0.11939219],"genre_scores_gemma":[0.9678846,0.0014703327,0.0022231252,0.00013271921,0.00019079172,0.000079212245,0.000012165032,0.000042996133,0.02796407],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99621975,0.0010545925,0.00062054605,0.00075901306,0.0004384772,0.0009076309],"domain_scores_gemma":[0.9985,0.00028930014,0.00027944206,0.0005761234,0.00003441943,0.00032073777],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0022407293,0.00040570978,0.0003987771,0.000049686874,0.0007435476,0.00007636472,0.00071129785,0.0004040398,0.0032754682],"category_scores_gemma":[0.00010402214,0.00042657592,0.0002643323,0.00036043327,0.003494244,0.0008009282,0.00012366101,0.00046906833,0.00032953083],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041945365,0.002020187,0.7341612,0.00025461675,0.00009582299,0.000107569365,0.12080038,0.000025910038,0.00012567069,0.11969738,0.0016436253,0.02102568],"study_design_scores_gemma":[0.000771841,0.00014478395,0.6865632,0.00020795809,0.00010121545,0.0000022579025,0.01092029,0.000078259705,0.0008469546,0.014762132,0.28493395,0.00066717534],"about_ca_topic_score_codex":0.028282356,"about_ca_topic_score_gemma":0.031389404,"teacher_disagreement_score":0.28329033,"about_ca_system_score_codex":0.0004529323,"about_ca_system_score_gemma":0.00020308117,"threshold_uncertainty_score":0.9998186},"labels":[],"label_agreement":null},{"id":"W2110516419","doi":"10.4324/9780203067390","title":"The Pedestrian and the City","year":2014,"lang":"en","type":"book","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Pedestrian; Traffic calming; Popularity; Geography; Public transport; Urban planning; Regional science; Political science; Economy; Transport engineering; Engineering; Civil engineering; Law; Archaeology","score_opus":0.02097453328515914,"score_gpt":0.27964448060751956,"score_spread":0.2586699473223604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110516419","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006790783,0.00074410194,0.000031242114,0.0049596312,0.0002574832,0.00030119895,0.0000027604708,0.00003975035,0.9929848],"genre_scores_gemma":[0.050170433,0.00030994622,0.000005063047,0.00024914803,0.00069208996,0.000006255978,0.0000033599626,0.000005197954,0.9485585],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99911416,0.00013313231,0.0001488631,0.00016692448,0.00026689708,0.00017001254],"domain_scores_gemma":[0.9988231,0.00074431725,0.0000876341,0.0002483841,0.00003962807,0.000056935067],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0019042975,0.00009517609,0.00015609467,0.00000730919,0.0014029801,0.00021548345,0.0004391834,0.00015573243,0.0003430156],"category_scores_gemma":[0.000092900904,0.00003930246,0.00008973504,0.000029408948,0.0021470143,0.00004622332,0.000026748108,0.00023337376,0.000018557184],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049902825,0.0000073286906,0.018551683,0.00001893286,0.000040052968,8.67802e-7,0.003019749,1.4686513e-8,2.4536027e-8,0.8209394,0.14303848,0.01433352],"study_design_scores_gemma":[0.00015356747,0.0000026154376,0.0044569606,0.000005340972,0.00002509303,2.385337e-8,0.00011283922,8.0540804e-7,1.09161306e-7,0.122252755,0.87292826,0.000061636994],"about_ca_topic_score_codex":0.0026219992,"about_ca_topic_score_gemma":0.06880753,"teacher_disagreement_score":0.72988975,"about_ca_system_score_codex":0.000029881965,"about_ca_system_score_gemma":0.00032225094,"threshold_uncertainty_score":0.99989706},"labels":[],"label_agreement":null},{"id":"W2110751769","doi":"10.1017/s0714980813000433","title":"Aerobic Activity Preferences among Older Canadians: A Time Use Perspective","year":2013,"lang":"fr","type":"article","venue":"Canadian Journal on Aging / La Revue canadienne du vieillissement","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Aerobic exercise; Recreation; Popularity; Neighbourhood (mathematics); Gerontology; Walkability; Physical activity; Psychology; Medicine; Demography; Physical therapy; Social psychology; Political science; Sociology","score_opus":0.015554758571474855,"score_gpt":0.22974272752299568,"score_spread":0.2141879689515208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110751769","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9457654,0.0019814598,0.000022653576,0.03662045,0.0031541996,0.0009814329,0.00019948851,0.000036698497,0.011238219],"genre_scores_gemma":[0.9607336,0.00024064726,0.000083617204,0.0011915558,0.0012828194,0.00006625695,0.000018510102,0.000076883225,0.036306113],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9944684,0.0008634539,0.0007222331,0.00096682104,0.00033329744,0.0026457862],"domain_scores_gemma":[0.99071527,0.0003438596,0.000517065,0.0005771044,0.0009131019,0.006933629],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013729808,0.00069279195,0.0007345259,0.0006734438,0.002203994,0.0017318351,0.0010247447,0.00041904984,0.014556008],"category_scores_gemma":[0.00044856197,0.0007342458,0.0003988238,0.0010665414,0.0013367208,0.0024562106,0.000023069695,0.0014675162,0.00036718894],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023577813,0.00037630615,0.70795673,0.00024391967,0.0009472177,0.0037787436,0.14923126,0.0005524917,0.00008004925,0.017528754,0.081163645,0.038117297],"study_design_scores_gemma":[0.0006394827,0.00021889753,0.7712191,0.0018695893,0.00024887334,0.00007708435,0.012156265,0.00048402953,0.000018727531,0.0022464579,0.20952025,0.0013012994],"about_ca_topic_score_codex":0.9791675,"about_ca_topic_score_gemma":0.99662966,"teacher_disagreement_score":0.13707499,"about_ca_system_score_codex":0.009046961,"about_ca_system_score_gemma":0.004844613,"threshold_uncertainty_score":0.9995109},"labels":[],"label_agreement":null},{"id":"W2110885729","doi":"10.5539/jgg.v6n1p46","title":"Modelling Journey to Work Patterns in South East Queensland, Australia","year":2014,"lang":"en","type":"article","venue":"Journal of Geography and Geology","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Australian Research Council","keywords":"Conurbation; Journey to work; Work (physics); Public transport; Census; Geography; Transport engineering; Modal shift; Land use; Mode of transport; Central business district; Business; Regional science; Engineering; Civil engineering; Sociology","score_opus":0.039766689030983286,"score_gpt":0.2933973985088293,"score_spread":0.253630709477846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110885729","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9903703,0.00013554665,0.00754508,0.0012944129,0.00027790488,0.000057079687,0.0000015713473,0.0000047603558,0.0003133703],"genre_scores_gemma":[0.9989708,0.0000344115,0.00047095874,0.00014540959,0.00030209564,8.154498e-7,5.046896e-7,0.0000031691618,0.00007183038],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988937,0.0001602281,0.00036151533,0.00012705426,0.0001669623,0.00029057925],"domain_scores_gemma":[0.9994063,0.000053704905,0.00017353092,0.00007255603,0.000091837675,0.00020207511],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011522281,0.000084236126,0.0002460484,0.00029005707,0.00012770432,0.000036268088,0.00017831232,0.00011393858,0.00011556201],"category_scores_gemma":[0.000029077402,0.00006968844,0.000110327455,0.00029153624,0.0001409529,0.00014168659,0.000012675557,0.0002738163,0.0000030819504],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007169145,0.000030664098,0.991265,0.000005718138,0.000013084439,0.0000108534505,0.0064920285,0.0011039113,8.1541253e-7,0.00028183626,0.000024066994,0.00070035766],"study_design_scores_gemma":[0.00037693296,0.00010039669,0.99103576,0.00004894181,0.000017789338,0.000002005867,0.0011594396,0.000039355757,0.0000016268424,0.004309041,0.0028119818,0.00009673723],"about_ca_topic_score_codex":0.0016105496,"about_ca_topic_score_gemma":0.0027279067,"teacher_disagreement_score":0.008600531,"about_ca_system_score_codex":0.0000073188125,"about_ca_system_score_gemma":0.000024314635,"threshold_uncertainty_score":0.2841812},"labels":[],"label_agreement":null},{"id":"W2111107254","doi":"10.1016/j.amepre.2004.10.029","title":"From walkability to active living potential","year":2005,"lang":"en","type":"article","venue":"American Journal of Preventive Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":124,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Montreal Police Service; Université de Montréal; Santé Montérégie; Centres Intégré Universitaires de Santé et de Services Sociaux; Canadian Fitness and Lifestyle Research Institute; Centre for Interdisciplinary Research in Rehabilitation","funders":"","keywords":"Walkability; Reliability (semiconductor); Statistics; Convergent validity; Validity; Computer science; Psychology; Geography; Mathematics; Medicine; Physical activity; Psychometrics; Physical medicine and rehabilitation; Internal consistency","score_opus":0.011001521808383456,"score_gpt":0.32554332897297183,"score_spread":0.3145418071645884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111107254","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9798231,0.00015356683,0.007337767,0.009777622,0.0004130467,0.00014000198,0.000007702255,0.000013517308,0.002333681],"genre_scores_gemma":[0.99387026,0.000028182325,0.0020214643,0.00039722584,0.0033036063,0.0000017335317,0.0000011254878,0.000007584057,0.0003688371],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9979956,0.0004220942,0.0005009421,0.00019715156,0.0006251156,0.00025906373],"domain_scores_gemma":[0.9983155,0.00034504756,0.00050824706,0.00014702661,0.00033661845,0.0003475712],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014688708,0.000114690665,0.00043520302,0.00010881606,0.00016078317,0.000014321507,0.00039103525,0.0000275645,0.0022189992],"category_scores_gemma":[0.00076302764,0.00008741679,0.00014004107,0.00041659243,0.0009028953,0.0003753784,0.000027839716,0.00025061515,0.000015317384],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003191666,0.0003600918,0.12748308,0.0000046085165,0.0001880066,0.000026171772,0.10127406,0.000023683557,0.0022063632,0.000056088476,0.001630469,0.76642823],"study_design_scores_gemma":[0.00045582242,0.0007435709,0.93709165,0.00031462786,0.00017763887,0.0000015539264,0.04431803,0.000006309972,0.00037750148,0.001645031,0.014691434,0.00017684292],"about_ca_topic_score_codex":0.0055947457,"about_ca_topic_score_gemma":0.0014693751,"teacher_disagreement_score":0.8096085,"about_ca_system_score_codex":0.00020597673,"about_ca_system_score_gemma":0.00018717155,"threshold_uncertainty_score":0.9986931},"labels":[],"label_agreement":null},{"id":"W2111509496","doi":"10.1123/japa.18.3.293","title":"Neighborhood Walkability: Older People’s Perspectives From Four Neighborhoods in Ottawa, Canada","year":2010,"lang":"en","type":"article","venue":"Journal of Aging and Physical Activity","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institute of Population and Public Health; University of Ottawa","funders":"Canadian Institutes of Health Research","keywords":"Walkability; Pedestrian; Gerontology; Focus group; Older people; Psychology; Applied psychology; Geography; Physical activity; Medicine; Sociology; Physical medicine and rehabilitation","score_opus":0.009582040069425321,"score_gpt":0.2699378860363466,"score_spread":0.2603558459669213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111509496","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9937751,0.00005809283,0.00005277234,0.0041593043,0.00034515132,0.00006839366,0.000012635247,0.000009217222,0.0015193097],"genre_scores_gemma":[0.99891454,0.000009185977,0.00005543481,0.000041244784,0.0009405016,9.959027e-7,3.8893432e-7,0.000006802007,0.00003089586],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987476,0.00015764525,0.00018584687,0.00022199836,0.0004303846,0.0002565375],"domain_scores_gemma":[0.9988505,0.00047967848,0.00019890931,0.00013403979,0.00012490829,0.00021196378],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005018272,0.00012798411,0.0003569727,0.000043026175,0.00019922703,0.00007748074,0.0002015261,0.00006501243,0.00007765164],"category_scores_gemma":[0.00017917047,0.0001047039,0.00010584798,0.00022746378,0.00015935194,0.00056837144,0.000020697906,0.00080723857,3.2237008e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002489933,0.0004771147,0.96826273,0.000009377051,0.00002539466,0.000014906839,0.017618002,0.0000020544242,0.0014078781,0.00044861156,0.00007559333,0.0116334455],"study_design_scores_gemma":[0.00034911046,0.000023830262,0.9910579,0.000017955834,0.000026142794,9.1225365e-7,0.0022093689,0.000103166916,0.00029989515,0.005450252,0.0003316762,0.00012981596],"about_ca_topic_score_codex":0.6232216,"about_ca_topic_score_gemma":0.89534956,"teacher_disagreement_score":0.272128,"about_ca_system_score_codex":0.0001183394,"about_ca_system_score_gemma":0.000679338,"threshold_uncertainty_score":0.4269701},"labels":[],"label_agreement":null},{"id":"W2111629719","doi":"10.1007/s11116-015-9588-z","title":"Analysis of vehicle ownership evolution in Montreal, Canada using pseudo panel analysis","year":2015,"lang":"en","type":"article","venue":"Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":63,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"Ministère des Transports","keywords":"Car ownership; Binary logit model; Econometrics; Nested logit; License; Logit; Panel data; Econometric model; Ordered logit; Econometric analysis; Demographic economics; Logistic regression; Variables; Variable (mathematics); Geography; Transport engineering; Economics; Statistics; Mathematics; Computer science; Public transport; Engineering","score_opus":0.06066283374302327,"score_gpt":0.2987155175945724,"score_spread":0.2380526838515491,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111629719","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99688995,0.000063154235,0.00233433,0.00006756969,0.000047346613,0.000101888116,0.00006520785,0.00001569631,0.00041483596],"genre_scores_gemma":[0.9995812,0.0000034006837,0.00010509154,0.000012914914,0.00001808648,0.0000029160005,0.00020979626,0.0000036779945,0.00006289521],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99859345,0.000094320036,0.0004003848,0.00021090965,0.00050175743,0.00019915937],"domain_scores_gemma":[0.99937284,0.000037158537,0.00016493406,0.00014112402,0.00016784828,0.00011607872],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005591301,0.00008077512,0.00030542293,0.00039230968,0.000071591414,0.000009488654,0.000114732036,0.00007228956,0.00008033405],"category_scores_gemma":[0.00002264165,0.00008184914,0.00014030962,0.0045021763,0.00007503015,0.00026510278,6.5501763e-7,0.00006341648,3.4599503e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002925145,0.00003408389,0.9245643,0.0000060368952,0.00028013063,0.0000040964132,0.0062140264,0.06854269,0.000062217616,0.00013881463,0.0000045100232,0.000119855365],"study_design_scores_gemma":[0.0001965776,0.000005349371,0.9750999,0.0000038921885,0.0024165483,2.7289784e-9,0.004085291,0.017907491,0.000027536953,0.0001569908,0.000010446925,0.000089955516],"about_ca_topic_score_codex":0.99249,"about_ca_topic_score_gemma":0.99966466,"teacher_disagreement_score":0.050635196,"about_ca_system_score_codex":0.0004701645,"about_ca_system_score_gemma":0.00074671383,"threshold_uncertainty_score":0.3337711},"labels":[],"label_agreement":null},{"id":"W2111644173","doi":"10.17269/cjph.106.4566","title":"Pour que les autorités sanitaires influencent davantage l’aménagement du territoire et la planification des transports: leçons du projet Bâtir un Canada en santé de l’initiative COALITION en Colombie-Britannique","year":2015,"lang":"fr","type":"article","venue":"Canadian Journal of Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Fraser Health; Island Health; Vancouver Coastal Health; Heart and Stroke Foundation","funders":"","keywords":"Political science; Humanities; Philosophy","score_opus":0.05401608263123795,"score_gpt":0.3187570987166528,"score_spread":0.26474101608541484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111644173","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8597087,0.0033853764,0.0047588823,0.12664662,0.0010054152,0.0006077379,0.0011302998,0.000024298899,0.0027326187],"genre_scores_gemma":[0.9946494,0.00096615264,0.0012323294,0.0020734556,0.0007563286,0.000019561801,0.00011024805,0.000028425515,0.0001640727],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99345744,0.0033945483,0.0010998719,0.0003111473,0.0006325161,0.0011044933],"domain_scores_gemma":[0.9946559,0.00047353216,0.0007205624,0.00018279672,0.0007303527,0.00323686],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.010003123,0.00029122073,0.00048182602,0.00024127947,0.0008604147,0.00028115168,0.00058027287,0.0002773796,0.00021761667],"category_scores_gemma":[0.0009198665,0.00030582753,0.000116374635,0.00054079195,0.0006544189,0.0013517351,0.00000933981,0.00072679284,0.000001494448],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.000018547189,0.00019326937,0.8412734,0.00020182173,0.00009976652,0.00057430647,0.0910051,0.000047749792,0.0000032001149,0.025603972,0.017838767,0.023140043],"study_design_scores_gemma":[0.0005850263,0.00018471548,0.68368196,0.00034892617,0.00004213052,0.00006227556,0.042636365,0.000039796185,0.000008673071,0.002876787,0.2692929,0.00024045102],"about_ca_topic_score_codex":0.9755259,"about_ca_topic_score_gemma":0.99793863,"teacher_disagreement_score":0.25145411,"about_ca_system_score_codex":0.010584667,"about_ca_system_score_gemma":0.111247614,"threshold_uncertainty_score":0.9999394},"labels":[],"label_agreement":null},{"id":"W2111853105","doi":"10.1016/j.jtrangeo.2007.01.006","title":"Modelling car ownership in urban areas: a case study of Hamilton, Canada","year":2007,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":276,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"","keywords":"Residence; Neighbourhood (mathematics); Car ownership; Metropolitan area; Land use; Transport engineering; Geography; Census; Survey data collection; Diversity (politics); Business; Regional science; Demographic economics; Economics; Engineering; Civil engineering; Sociology; Public transport; Demography","score_opus":0.025144078696444194,"score_gpt":0.2719421202301162,"score_spread":0.24679804153367202,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111853105","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977465,0.00046319037,0.00063134654,0.000044252633,0.0002946577,0.0002531382,0.000009876568,0.00000834077,0.0005486924],"genre_scores_gemma":[0.99957204,0.00005886305,0.00016966816,0.000028613264,0.00014542314,0.0000011746793,0.0000014741674,0.000010818334,0.000011950221],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972112,0.000084516396,0.001186043,0.00019121756,0.00090440013,0.0004226285],"domain_scores_gemma":[0.998617,0.00009981717,0.00049323426,0.00017959699,0.0003289245,0.0002814043],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002507192,0.00015880399,0.00046250704,0.0007453719,0.00016476242,0.000012043669,0.00035506248,0.000098215576,0.000029390052],"category_scores_gemma":[0.000008486634,0.00013723446,0.0002579699,0.0015695029,0.00015297194,0.00030777877,0.0000022192928,0.00040219858,4.9366363e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013403562,0.0005541693,0.96308583,0.000025560304,0.00007086411,0.0072313794,0.026374344,0.002325928,0.0000048242055,0.000008016234,0.000026185453,0.00015886356],"study_design_scores_gemma":[0.0016721792,0.0002676031,0.9034469,0.000108894805,0.00021792871,0.000047018657,0.092076324,0.00004080073,0.000048733862,0.00014220782,0.0016462178,0.00028514845],"about_ca_topic_score_codex":0.90669024,"about_ca_topic_score_gemma":0.98655766,"teacher_disagreement_score":0.07986741,"about_ca_system_score_codex":0.00007525482,"about_ca_system_score_gemma":0.00052802305,"threshold_uncertainty_score":0.55962586},"labels":[],"label_agreement":null},{"id":"W2112002533","doi":"10.1136/bjsports-2013-093101","title":"Built environment characteristics and parent active transportation are associated with active travel to school in youth age 12–15","year":2014,"lang":"en","type":"article","venue":"British Journal of Sports Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":128,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Heart, Lung, and Blood Institute","keywords":"Transport engineering; Human factors and ergonomics; Physical activity; Suicide prevention; Medicine; Poison control; Environmental health; Psychology; Engineering; Physical medicine and rehabilitation","score_opus":0.018660234089435616,"score_gpt":0.2509165650433662,"score_spread":0.23225633095393056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112002533","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982169,0.00016770845,0.0002604986,0.0005160448,0.0001302457,0.00025604462,0.000079605496,0.00000784866,0.00036509326],"genre_scores_gemma":[0.9986283,0.0006957468,0.000042469765,0.0001757334,0.00028548413,0.0000030354583,0.000064336564,0.000012658064,0.00009219956],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981319,0.00007619227,0.00056957436,0.00021401254,0.0007558848,0.00025245396],"domain_scores_gemma":[0.99877876,0.00005083742,0.00060904503,0.00007064649,0.00011147596,0.00037923298],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095656834,0.00013417892,0.0004928553,0.00010927507,0.00014007448,0.000027398684,0.00012942556,0.00009049071,0.00022140722],"category_scores_gemma":[0.0002252734,0.00012353808,0.000040265237,0.00015445208,0.0002764914,0.0002450482,0.0000033445276,0.0003395612,3.782318e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003106774,0.00020944653,0.8506934,0.00001449693,0.00004020717,0.00092423835,0.019162098,0.000006685675,0.00004062897,0.0000058587198,0.00007023757,0.12852202],"study_design_scores_gemma":[0.0012945886,0.00015570536,0.9824623,0.002126763,0.00011376133,0.0000057330794,0.01335741,0.0000010346629,0.00002486175,0.00015253622,0.00016687546,0.00013843695],"about_ca_topic_score_codex":0.0026879336,"about_ca_topic_score_gemma":0.010429076,"teacher_disagreement_score":0.13176888,"about_ca_system_score_codex":0.0001668894,"about_ca_system_score_gemma":0.00008609856,"threshold_uncertainty_score":0.58196694},"labels":[],"label_agreement":null},{"id":"W2112030149","doi":"10.1016/j.amepre.2009.06.012","title":"Reconciling the Construct of Walking in Physical Activity and Transportation Research","year":2009,"lang":"en","type":"article","venue":"American Journal of Preventive Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver Community College; University of British Columbia","funders":"","keywords":"Construct (python library); Physical activity; MEDLINE; Transport engineering; Environmental health; Medicine; Physical medicine and rehabilitation; Computer science; Engineering; Chemistry","score_opus":0.04591691722335291,"score_gpt":0.4114067102040219,"score_spread":0.365489792980669,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112030149","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9960446,0.00017097035,0.00017125598,0.0029727067,0.000042596454,0.00009763659,9.801536e-7,0.0000016471308,0.00049760996],"genre_scores_gemma":[0.99961555,0.00009409029,0.00008753743,0.000022938617,0.00016180136,4.3692486e-7,1.9387437e-7,0.0000016816432,0.000015752476],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9986157,0.00048679035,0.0002366182,0.000084800115,0.00043935224,0.00013677281],"domain_scores_gemma":[0.99884766,0.0005171995,0.00031600732,0.000056136014,0.0002078837,0.0000550938],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029814232,0.000047872483,0.0002723666,0.0000957416,0.000093821145,0.000004718544,0.00013784527,0.000013384669,0.000019314126],"category_scores_gemma":[0.0002276359,0.000029424573,0.00004382709,0.00049450266,0.0018639836,0.0001698534,0.000001935949,0.00030916586,6.34278e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001778093,0.00011992362,0.28446785,0.000008994642,0.000019549609,0.0000120804425,0.06118922,0.0000018131655,0.0050443206,0.0007501948,0.000015945563,0.6481923],"study_design_scores_gemma":[0.00032148013,0.00045655612,0.9716927,0.00017793535,0.000022139122,5.194549e-7,0.02128652,0.0000071038125,0.00049635,0.0054397667,0.00006901327,0.000029962479],"about_ca_topic_score_codex":0.0019686946,"about_ca_topic_score_gemma":0.0011764453,"teacher_disagreement_score":0.6872248,"about_ca_system_score_codex":0.000039194234,"about_ca_system_score_gemma":0.00012242506,"threshold_uncertainty_score":0.6867925},"labels":[],"label_agreement":null},{"id":"W2112349034","doi":"10.3141/1852-03","title":"Freeway Quality of Service: Perceptions from Tractor-Trailer Drivers","year":2003,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Ministry of Education, India; Ministry of Earth Sciences","keywords":"Transport engineering; Truck; Trailer; Level of service; Highway Capacity Manual; Service (business); Quality (philosophy); Service quality; Focus group; Traffic flow (computer networking); Perception; Engineering; Tractor; Business; Computer science; Automotive engineering; Psychology; Marketing; Computer security","score_opus":0.1684133214726829,"score_gpt":0.45633524098438744,"score_spread":0.28792191951170454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112349034","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99221253,0.00017634635,0.00065348146,0.0034505464,0.000621331,0.0008746268,0.0002819541,0.000030298173,0.0016988993],"genre_scores_gemma":[0.9965226,0.00058636506,0.0017545453,0.000065137174,0.00020365178,0.00003068792,0.00003361859,0.00003836402,0.00076500856],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98689246,0.00399916,0.002037538,0.0004940527,0.005598471,0.0009782984],"domain_scores_gemma":[0.99019265,0.0019546538,0.00076728343,0.00063119543,0.0058660875,0.0005881503],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.009413084,0.00025598772,0.0006382355,0.00066762074,0.0012659121,0.00012696374,0.0015593178,0.00034893997,0.0045233737],"category_scores_gemma":[0.0005315933,0.00020662614,0.0006577349,0.0030714376,0.0016696629,0.0011661848,0.0000039710753,0.0022498874,0.000028914525],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050061644,0.000565725,0.95399874,0.00013375745,0.00014611987,0.000017697566,0.023903206,0.00013325844,0.009586438,0.008337373,0.0015867567,0.0010903064],"study_design_scores_gemma":[0.0012355366,0.00015182402,0.9512774,0.00017449999,0.00006128094,2.248278e-8,0.021047419,0.000003017926,0.0008368947,0.010038792,0.014975926,0.00019741827],"about_ca_topic_score_codex":0.14695296,"about_ca_topic_score_gemma":0.60323167,"teacher_disagreement_score":0.45627868,"about_ca_system_score_codex":0.0003192814,"about_ca_system_score_gemma":0.001858675,"threshold_uncertainty_score":0.99638665},"labels":[],"label_agreement":null},{"id":"W2112685427","doi":"","title":"Homeworking, telecommuting and journey to workplaces - Are differences among genders and professions varying over space?","year":2005,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"","keywords":"Telecommuting; Metropolitan area; Flexibility (engineering); Sample (material); Demographic economics; Psychology; Work (physics); Geography; Sociology; Social psychology; Engineering; Economics; Management","score_opus":0.04223171324665146,"score_gpt":0.3062647902742383,"score_spread":0.2640330770275868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112685427","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9781185,0.004046167,0.0000907346,0.0018957948,0.0021856353,0.0010220885,0.00006160943,0.00024383377,0.012335683],"genre_scores_gemma":[0.99485093,0.0006827621,0.0012809486,0.0002436021,0.0010970054,0.00006123831,0.000011551117,0.00004849226,0.0017234659],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99602085,0.00041994,0.0008060996,0.0012702432,0.00049289217,0.0009899861],"domain_scores_gemma":[0.99711025,0.0006079881,0.00082153286,0.00056526123,0.00010638766,0.0007886014],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014204967,0.0006392081,0.0010052886,0.00040851923,0.002068418,0.00074015366,0.0007338768,0.0008579955,0.0011775295],"category_scores_gemma":[0.0003069552,0.0006253942,0.00020806474,0.00024861228,0.0014520385,0.00057634397,0.00065376336,0.0017901865,0.0000133823505],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018275876,0.0000656895,0.9793055,0.00011833335,0.000102007565,0.0000132041905,0.017707229,0.000011010515,0.0000061550636,0.000115638024,0.0010595346,0.0014774118],"study_design_scores_gemma":[0.00031322186,0.000017123948,0.985854,0.0013006604,0.00010824182,0.0000026900004,0.007890605,0.00006204979,0.000012583765,0.0009919473,0.002623362,0.00082348345],"about_ca_topic_score_codex":0.002189366,"about_ca_topic_score_gemma":0.03433326,"teacher_disagreement_score":0.03214389,"about_ca_system_score_codex":0.00035279212,"about_ca_system_score_gemma":0.0006609933,"threshold_uncertainty_score":0.99973553},"labels":[],"label_agreement":null},{"id":"W2112847447","doi":"10.1590/s2238-10312012000200002","title":"Measuring the transportation needs of seniors","year":2012,"lang":"en","type":"article","venue":"Journal of Transport Literature","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Destinations; Transport engineering; Population; Business; Travel behavior; Marketing; Gerontology; Psychology; Environmental health; Geography; Medicine; Engineering; Tourism","score_opus":0.020131812418098412,"score_gpt":0.26809242981662706,"score_spread":0.24796061739852865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112847447","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9922465,0.0041236705,0.00040185178,0.0007899615,0.0007643309,0.0001202719,0.0000272406,0.00001217677,0.0015139775],"genre_scores_gemma":[0.998429,0.00015492912,0.00028019925,0.000073824696,0.00080215395,0.0000010979601,0.0000091708125,0.0000102322965,0.00023940473],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982567,0.00009142869,0.000660366,0.000057315916,0.0006503277,0.00028385592],"domain_scores_gemma":[0.9988201,0.00006129958,0.00044633122,0.00014025369,0.000363438,0.00016853772],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015804521,0.00012203601,0.00027372042,0.00014394888,0.00018789334,0.000027882925,0.00035562547,0.00014959856,0.000112693124],"category_scores_gemma":[0.000019142768,0.000076669785,0.0003563046,0.00074113754,0.00017576282,0.0011081727,8.3814837e-7,0.0004304762,7.046805e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009920537,0.00012501265,0.85519916,0.0000641327,0.000054388896,0.000008579033,0.14104377,0.000016972568,0.0007837784,0.0017716126,0.000109644454,0.0007237226],"study_design_scores_gemma":[0.0003454718,0.00003571347,0.9602701,0.00021017379,0.00018039589,0.0000030353096,0.0058635985,3.4252986e-7,0.0013374848,0.00034688585,0.03128537,0.000121398356],"about_ca_topic_score_codex":0.000099830606,"about_ca_topic_score_gemma":0.0002758012,"teacher_disagreement_score":0.13518018,"about_ca_system_score_codex":0.000030258312,"about_ca_system_score_gemma":0.00013405572,"threshold_uncertainty_score":0.3126503},"labels":[],"label_agreement":null},{"id":"W2113057610","doi":"10.2105/ajph.2012.301172","title":"The “Path” Not Taken: Exploring Structural Differences in Mapped- Versus Shortest-Network-Path School Travel Routes","year":2013,"lang":"en","type":"article","venue":"American Journal of Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research; University of Toronto; Heart and Stroke Foundation of Canada","keywords":"Shortest path problem; Wilcoxon signed-rank test; Path (computing); Path analysis (statistics); Intersection (aeronautics); Constrained Shortest Path First; Average path length; Computer science; Statistics; Medicine; Psychology; Mathematics; Geography; K shortest path routing; Computer network; Theoretical computer science; Cartography","score_opus":0.1144923584854473,"score_gpt":0.3319732582002083,"score_spread":0.21748089971476098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2113057610","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9784178,0.0004539341,0.00017382318,0.019192208,0.00097060465,0.00023734516,0.000003815394,0.000019963503,0.000530521],"genre_scores_gemma":[0.99728274,0.0006255189,0.00061660307,0.00044149027,0.00095377926,0.00001777742,0.0000012790587,0.000011911187,0.000048905775],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9962994,0.00076221826,0.0009084014,0.00022172587,0.00077589985,0.0010323413],"domain_scores_gemma":[0.9972657,0.0006313706,0.000827237,0.00020839607,0.00024328996,0.00082401314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036479393,0.00017414034,0.0005120274,0.00010955523,0.0007885685,0.0004123262,0.0008207373,0.000040460516,0.00019658057],"category_scores_gemma":[0.0005336648,0.000113738475,0.00013412164,0.00083493115,0.0007716158,0.0013436866,0.000027253564,0.0006181247,0.0000075648313],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003308041,0.000032117125,0.81504095,0.000004627641,0.000026378846,0.000004132143,0.0062887333,0.0000040533087,0.0000023995551,0.0008301029,0.00037177914,0.17736162],"study_design_scores_gemma":[0.00037365616,0.0003620134,0.96097624,0.00003640963,0.0000047039707,0.0000012604669,0.036325708,0.000062491985,7.7943446e-7,0.00054520916,0.0011808368,0.00013066744],"about_ca_topic_score_codex":0.017661111,"about_ca_topic_score_gemma":0.008174827,"teacher_disagreement_score":0.17723095,"about_ca_system_score_codex":0.00036783435,"about_ca_system_score_gemma":0.0019478592,"threshold_uncertainty_score":0.9888804},"labels":[],"label_agreement":null},{"id":"W2113390409","doi":"10.1123/ijare.2014-0044","title":"Using a Public Health Approach to Understand “Skipping” Snowmobiles in Pangnirtung, Nunavut, Canada","year":2014,"lang":"en","type":"article","venue":"International Journal of Aquatic Research and Education","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Ottawa; University of Toronto; University of Manitoba; University of New Brunswick","funders":"","keywords":"Medicine; Biology; Geography","score_opus":0.24325621818436746,"score_gpt":0.4620775976537292,"score_spread":0.21882137946936173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2113390409","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97391015,0.00031295168,0.0043528927,0.016290069,0.0004999632,0.00017405246,0.0000015608325,0.0000021166643,0.0044562174],"genre_scores_gemma":[0.99771667,0.00008019926,0.0012784959,0.00029133886,0.00044402396,0.0000027334918,0.000003924253,0.0000039740676,0.00017865881],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99783814,0.00034914716,0.00035002799,0.0001221181,0.001077709,0.00026285005],"domain_scores_gemma":[0.9986893,0.00022018813,0.00014186096,0.000066420675,0.0005650051,0.00031724948],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044587324,0.00005068098,0.00012052419,0.00037057727,0.00018253781,0.00019144006,0.0003287545,0.000027507722,0.000027255111],"category_scores_gemma":[0.000972475,0.000045373814,0.000019852643,0.00033849807,0.00011731606,0.0003336274,0.000018579833,0.00019376972,5.794396e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000095686424,0.0012303436,0.82060224,0.00008309347,0.00007149817,0.0000037169184,0.05056086,0.000071101116,0.000077514145,0.027950749,0.009076433,0.09017675],"study_design_scores_gemma":[0.0018114313,0.00059987203,0.51450235,0.00093278446,0.000012307453,0.000025575437,0.25672072,0.004551726,0.000055280907,0.12750311,0.09276173,0.00052310247],"about_ca_topic_score_codex":0.5092502,"about_ca_topic_score_gemma":0.59570104,"teacher_disagreement_score":0.3060999,"about_ca_system_score_codex":0.0012223013,"about_ca_system_score_gemma":0.008091861,"threshold_uncertainty_score":0.99753135},"labels":[],"label_agreement":null},{"id":"W2113514355","doi":"10.1186/1476-072x-12-31","title":"The proportion of youths’ physical inactivity attributable to neighbourhood built environment features","year":2013,"lang":"en","type":"article","venue":"International Journal of Health Geographics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":66,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Queen's University","funders":"Canadian Institutes of Health Research; Health Canada; University of St Andrews; Public Health Agency; Public Health Agency of Canada; World Health Organization; Heart and Stroke Foundation of Canada","keywords":"Neighbourhood (mathematics); Health geography; Physical activity; Geography; Public health; Built environment; Environmental health; Health informatics; Level design; Human geography; Demography; Medicine; Sociology; Computer science; Economic geography; Health policy; International health; Engineering; Mathematics","score_opus":0.02086994065609044,"score_gpt":0.3400449920859209,"score_spread":0.3191750514298305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2113514355","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9733648,0.0004546759,0.0010161918,0.024028933,0.00057286426,0.00026860242,0.0000135948485,0.0000067502942,0.00027363998],"genre_scores_gemma":[0.9987038,0.00045655473,0.00017002271,0.00023140754,0.0003701858,0.000006422737,0.000002736211,0.0000047788994,0.000054138818],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977292,0.00020535894,0.0005164586,0.00010769995,0.0012034447,0.00023784889],"domain_scores_gemma":[0.9982763,0.00016984438,0.00069787726,0.000111595655,0.0005811956,0.00016316697],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015176693,0.000079625446,0.00021528322,0.00011123221,0.00037763827,0.00008386784,0.00052070024,0.000045987035,0.00006661463],"category_scores_gemma":[0.0002014358,0.00005387709,0.00015952674,0.00017961866,0.00021455665,0.00036315157,0.000033574106,0.00031443677,0.000005125022],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009914136,0.0006526555,0.8881933,0.000016054268,0.00012699883,0.0000029886644,0.0052137896,0.00009034924,0.00016586705,0.0045379605,0.00085860735,0.1000423],"study_design_scores_gemma":[0.00019783476,0.0001607662,0.98226744,0.000036371886,0.000010047699,0.0000014748259,0.0012224661,0.000009750605,0.00019872445,0.008134554,0.007698751,0.000061798666],"about_ca_topic_score_codex":0.0064734486,"about_ca_topic_score_gemma":0.00097447535,"teacher_disagreement_score":0.0999805,"about_ca_system_score_codex":0.00014931493,"about_ca_system_score_gemma":0.00035506865,"threshold_uncertainty_score":0.9785961},"labels":[],"label_agreement":null},{"id":"W2113544303","doi":"10.1177/0160017612461356","title":"Behavioral Housing Search Choice Set Formation","year":2012,"lang":"en","type":"article","venue":"International Regional Science Review","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Replicate; Set (abstract data type); Choice set; Process (computing); Hazard; Work (physics); Computer science; Discrete choice; Order (exchange); Metropolitan area; Econometrics; Economics; Operations research; Engineering; Geography; Mathematics; Statistics","score_opus":0.2141601075602594,"score_gpt":0.48260632668041803,"score_spread":0.26844621912015865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2113544303","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92109245,0.017726136,0.0006976409,0.019736115,0.0015067412,0.0006766006,0.000016550817,0.00012193765,0.038425807],"genre_scores_gemma":[0.99339074,0.004419962,0.0003029571,0.0009786739,0.0005285814,0.000014364597,0.000019799883,0.0000041167214,0.00034079497],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974579,0.00007005179,0.00025656415,0.00019451011,0.0015970713,0.00042386353],"domain_scores_gemma":[0.9990851,0.00006561874,0.00010268167,0.00013370469,0.00037202128,0.00024086788],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027036136,0.00008225361,0.00011500424,0.00009581296,0.00056240085,0.00011056835,0.0007438931,0.000033190136,0.0006328084],"category_scores_gemma":[0.00018865905,0.00007062267,0.00008872336,0.00066629186,0.0006898875,0.0032142608,0.000051520085,0.00011839724,0.00012757453],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009871578,0.00041113762,0.79645354,0.00027893216,0.000012690309,0.00000361329,0.00480441,0.0000038957232,0.0006378904,0.04203759,0.0065323072,0.14881413],"study_design_scores_gemma":[0.00011554004,0.000012326763,0.20609343,0.00089984277,0.000025624493,0.0000046210944,0.00038597075,0.000042567583,0.00014680698,0.00047814174,0.7915585,0.00023664355],"about_ca_topic_score_codex":0.0012381383,"about_ca_topic_score_gemma":0.00035968435,"teacher_disagreement_score":0.7850262,"about_ca_system_score_codex":0.00040329248,"about_ca_system_score_gemma":0.00032322385,"threshold_uncertainty_score":0.6928808},"labels":[],"label_agreement":null},{"id":"W2113709614","doi":"10.1186/1471-2458-13-403","title":"Development, scoring, and reliability of the Microscale Audit of Pedestrian Streetscapes (MAPS)","year":2013,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":155,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Institute of Environmental Health Sciences; National Heart, Lung, and Blood Institute; National Institutes of Health; Vlaamse regering; Fonds Wetenschappelijk Onderzoek","keywords":"Reliability (semiconductor); Audit; Kappa; Biostatistics; Medicine; Applied psychology; Psychology; Clinical psychology; Computer science; Mathematics; Public health; Nursing","score_opus":0.0445406091339506,"score_gpt":0.3113251181032682,"score_spread":0.2667845089693176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2113709614","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9939599,0.00011348053,0.00008036612,0.0029194064,0.00013160218,0.00046598967,0.000012508544,0.00002206824,0.0022946608],"genre_scores_gemma":[0.9972876,0.00002799386,0.0022336855,0.000070591275,0.000041660536,0.0000127142075,0.0000033068497,0.000004306481,0.00031819355],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984311,0.0002258405,0.00047522713,0.00021608188,0.0002894675,0.00036231248],"domain_scores_gemma":[0.99897003,0.0001006614,0.00029329828,0.00027023855,0.00014366469,0.00022208638],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020453967,0.000077395525,0.00020616245,0.000035956153,0.0003469868,0.00004182631,0.00033133227,0.000063867185,0.00019155917],"category_scores_gemma":[0.00032205452,0.000054798715,0.00004898599,0.0003107293,0.0004754274,0.00031200083,0.00005179886,0.000094796815,0.0000026813832],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000014844989,0.000081006416,0.9904186,0.00016438897,0.0000020135687,1.1388181e-8,0.0029571722,9.221667e-8,0.00003208386,0.00037313192,0.00045693456,0.0055130464],"study_design_scores_gemma":[0.00014404621,0.00001157691,0.9716439,0.00002327106,0.0000015319353,3.3722998e-8,0.0013424242,0.0000019853228,0.00014180942,0.0005515848,0.026084645,0.000053152446],"about_ca_topic_score_codex":0.021798372,"about_ca_topic_score_gemma":0.029094497,"teacher_disagreement_score":0.02562771,"about_ca_system_score_codex":0.00009589445,"about_ca_system_score_gemma":0.0029848916,"threshold_uncertainty_score":0.988622},"labels":[],"label_agreement":null},{"id":"W2113803437","doi":"10.15353/rea.v5i1.1400","title":"The Demand of Car Rentals: a Microeconometric Approach with Count Models and Survey Data","year":2013,"lang":"en","type":"article","venue":"Review of Economic Analysis","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Tourism; Externality; Renting; Context (archaeology); Business; Sustainability; Demand curve; Economics; Geography; Microeconomics","score_opus":0.07517663409974827,"score_gpt":0.3229384048002644,"score_spread":0.24776177070051614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2113803437","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7642067,0.22807366,0.001643853,0.00016960055,0.000017489481,0.00064331765,0.0002593154,0.000006224616,0.0049798433],"genre_scores_gemma":[0.8930704,0.10642408,0.00028037254,0.000022815602,0.000010141573,0.000009776712,0.00010372898,0.0000033444887,0.000075337965],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988361,0.00017762012,0.0005021471,0.00027725147,0.00007960516,0.00012728835],"domain_scores_gemma":[0.99860716,0.00022993723,0.0004147228,0.00061589846,0.000074599586,0.00005767343],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003004166,0.00008081205,0.00057495927,0.0000876035,0.00011687552,0.000038264076,0.0005528483,0.000027638427,0.00016415074],"category_scores_gemma":[0.000046608,0.000050490948,0.000099464494,0.0005535443,0.00035425293,0.00040097875,0.000049452323,0.000038445978,0.000002953302],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004783405,0.00003758805,0.9937171,0.0006619819,0.0009914794,4.1717783e-8,0.00021763533,0.000087091124,5.053883e-7,0.0004735362,0.0004069431,0.0034013586],"study_design_scores_gemma":[0.00040733867,0.000042421703,0.95687336,0.00050166424,0.0052271457,3.4106793e-7,0.0014715017,0.030125683,0.0000077025525,0.0014034208,0.0034582904,0.00048112278],"about_ca_topic_score_codex":0.02579478,"about_ca_topic_score_gemma":0.013362163,"teacher_disagreement_score":0.1288637,"about_ca_system_score_codex":0.000038123544,"about_ca_system_score_gemma":0.000106459294,"threshold_uncertainty_score":0.98069257},"labels":[],"label_agreement":null},{"id":"W2114182029","doi":"10.1016/j.socscimed.2014.06.042","title":"Contribution of streetscape audits to explanation of physical activity in four age groups based on the Microscale Audit of Pedestrian Streetscapes (MAPS)","year":2014,"lang":"en","type":"article","venue":"Social Science & Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":235,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Institute of Environmental Health Sciences; National Heart, Lung, and Blood Institute","keywords":"Walkability; Pedestrian; Level design; Geography; Audit; Built environment; Transport engineering; Physical activity; Psychology; Environmental health; Medicine; Business; Computer science; Engineering; Civil engineering; Physical medicine and rehabilitation","score_opus":0.023106039240095293,"score_gpt":0.3154293016334654,"score_spread":0.2923232623933701,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2114182029","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9917695,0.0000036066529,0.0003911222,0.003641582,0.00013782893,0.0003756096,0.000023055116,0.000010868647,0.003646823],"genre_scores_gemma":[0.9996293,0.0000012900791,0.000007074882,0.000061016464,0.0002746895,0.00000886402,0.000005048516,0.000003160242,0.000009541905],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978078,0.00025408724,0.00027817904,0.00025783596,0.0010922933,0.0003098047],"domain_scores_gemma":[0.998634,0.00052161486,0.000325114,0.00016226571,0.00025860613,0.000098422315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003333174,0.00010146389,0.00035235236,0.00014455529,0.0002925147,0.000009194745,0.00047806057,0.0000666752,0.0000485115],"category_scores_gemma":[0.0016050268,0.00007117134,0.00007192522,0.0014032844,0.0020804296,0.00019219481,0.000018274226,0.0001251782,5.7647816e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039318285,0.0010789249,0.53783196,0.00009050865,0.000011829256,0.0000024665242,0.0446808,0.00006382055,0.34173703,0.035358187,0.00044068482,0.03831062],"study_design_scores_gemma":[0.00082667393,0.00034009284,0.96688163,0.0001367925,0.000023048891,1.18319035e-8,0.002021951,0.00042898513,0.025934488,0.0031258615,0.00017511143,0.000105356135],"about_ca_topic_score_codex":0.0036238064,"about_ca_topic_score_gemma":0.008463016,"teacher_disagreement_score":0.42904967,"about_ca_system_score_codex":0.00012057192,"about_ca_system_score_gemma":0.00027020308,"threshold_uncertainty_score":0.7665429},"labels":[],"label_agreement":null},{"id":"W2114446505","doi":"10.7202/044886ar","title":"L’urbanisme favorable à la santé : une revue des connaissances actuelles sur l’obésité et l’environnement bâti","year":2010,"lang":"fr","type":"article","venue":"Environnement urbain","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.02366043880780979,"score_gpt":0.2983155638604104,"score_spread":0.27465512505260065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2114446505","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8499209,0.02191345,0.00091553194,0.015303069,0.0029287746,0.0011175773,0.00020285559,0.00020645365,0.107491344],"genre_scores_gemma":[0.94045824,0.0027127578,0.0020734214,0.0005955668,0.0010794577,0.000101456906,0.0000952502,0.00008929062,0.05279459],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99418044,0.00095568167,0.0010735622,0.0013292488,0.0009485263,0.0015125622],"domain_scores_gemma":[0.99701065,0.0007993091,0.00051119406,0.0010127331,0.0000669274,0.00059920544],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.0035348523,0.0008052548,0.00079408154,0.0001321955,0.0015452392,0.00034121945,0.0011710492,0.00062060694,0.0150049105],"category_scores_gemma":[0.0002216945,0.000837567,0.0004362587,0.000701828,0.005311185,0.0012162409,0.00021345814,0.0012107517,0.0005643315],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011782626,0.0042833346,0.36006695,0.00077293406,0.00040846114,0.00026314336,0.038393933,0.00017164412,0.009332184,0.5030682,0.01620056,0.06692084],"study_design_scores_gemma":[0.0014071014,0.00023548533,0.18340006,0.000298511,0.00026569222,0.0000048407296,0.0032821742,0.0001922031,0.0012561252,0.018934866,0.7896076,0.0011153459],"about_ca_topic_score_codex":0.0060547856,"about_ca_topic_score_gemma":0.038027637,"teacher_disagreement_score":0.77340704,"about_ca_system_score_codex":0.0002731287,"about_ca_system_score_gemma":0.0002534009,"threshold_uncertainty_score":0.9997546},"labels":[],"label_agreement":null},{"id":"W2114672044","doi":"10.1016/j.alter.2014.02.007","title":"Understanding people’s needs in a commercial public space","year":2014,"lang":"en","type":"article","venue":"Alter","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dawson College; Université du Québec à Montréal; University of Saskatchewan; Université de Montréal; Centre for Interdisciplinary Research in Rehabilitation","funders":"","keywords":"Public space; Documentation; Sociology; Narrative; Lived experience; Space (punctuation); Psychology; Perception; Humanities; Art; Engineering; Computer science","score_opus":0.11689038804336856,"score_gpt":0.3164141177110953,"score_spread":0.19952372966772675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2114672044","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8911899,0.0000136055505,0.0030755135,0.0111393845,0.00026606643,0.00009328398,8.0351657e-7,0.00004241322,0.094179034],"genre_scores_gemma":[0.9988108,0.000003616868,0.000038068458,0.00039651644,0.00024204991,0.000003886414,0.0000024736105,0.0000051341794,0.0004974105],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992108,0.00010722535,0.000112436705,0.00011504428,0.00017607004,0.00027842016],"domain_scores_gemma":[0.9996733,0.000088927336,0.000029174143,0.0001124548,0.00001533486,0.00008081029],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006647889,0.000056667064,0.00010421859,0.000093456525,0.00019780562,0.00008733985,0.00016800255,0.000055273413,0.00040620344],"category_scores_gemma":[0.00006106204,0.000053682244,0.00003724654,0.00042086013,0.00010747158,0.00029453897,0.000014464139,0.00010203327,0.000032008873],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000035443234,0.000025094205,0.9145559,0.0000035278247,0.0000018773446,4.3722656e-7,0.009653062,3.999695e-7,0.00000828063,0.07455315,0.0006805736,0.0005141473],"study_design_scores_gemma":[0.00046419504,0.000019940815,0.93007845,0.000013834437,0.000007318242,7.096872e-8,0.0055437065,0.00007056426,0.000019318342,0.022809314,0.040781092,0.00019222232],"about_ca_topic_score_codex":0.0038338755,"about_ca_topic_score_gemma":0.1615786,"teacher_disagreement_score":0.15774472,"about_ca_system_score_codex":0.000115079354,"about_ca_system_score_gemma":0.000056503904,"threshold_uncertainty_score":0.8537204},"labels":[],"label_agreement":null},{"id":"W2114845683","doi":"10.3141/2143-15","title":"Defining a Primary Market and Estimating Demand for Major Bicycle-Sharing Program in Philadelphia, Pennsylvania","year":2010,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":75,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Federal Highway Administration; University of Pennsylvania; Pennsylvania Department of Transportation","keywords":"TRIPS architecture; Market share; Transport engineering; Scale (ratio); Business; Public transport; Engineering; Marketing; Geography","score_opus":0.06785750201726205,"score_gpt":0.4209072807346215,"score_spread":0.3530497787173595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2114845683","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9917669,0.00022897351,0.00074467424,0.0038806715,0.0005262148,0.0022019993,0.000048502043,0.000042851974,0.00055915973],"genre_scores_gemma":[0.97444063,0.00015924092,0.024457166,0.000033285945,0.0002940971,0.00023374971,0.000018404515,0.00004558236,0.00031786],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99382114,0.0006379497,0.0013930384,0.0005488003,0.002470863,0.0011282333],"domain_scores_gemma":[0.99515915,0.0017676378,0.00043607983,0.00034710122,0.0018383692,0.00045168467],"candidate_categories":["sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0124458065,0.00022952369,0.00047859512,0.0008712149,0.0013772652,0.00033773124,0.0011187992,0.00027785476,0.00024849118],"category_scores_gemma":[0.00063841615,0.00018995903,0.00027196947,0.001726988,0.0012052297,0.0011375219,0.000010109498,0.0026189808,0.00000240287],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010315843,0.00028889356,0.9665794,0.00043214232,0.00004786874,0.00004058929,0.007057729,0.00005678451,0.0010531278,0.0028581405,0.00057628326,0.019977497],"study_design_scores_gemma":[0.0017187301,0.00024919218,0.97757745,0.0003429988,0.000041706902,1.8304411e-7,0.0021455663,0.00051043613,0.00010536194,0.012158299,0.004949954,0.00020014794],"about_ca_topic_score_codex":0.01666929,"about_ca_topic_score_gemma":0.34196645,"teacher_disagreement_score":0.32529715,"about_ca_system_score_codex":0.00016576557,"about_ca_system_score_gemma":0.0008822097,"threshold_uncertainty_score":0.9999228},"labels":[],"label_agreement":null},{"id":"W2115893864","doi":"10.1007/s00484-010-0319-z","title":"Weather impacts on leisure activities in Halifax, Nova Scotia","year":2010,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":104,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Saint Mary's University; McMaster University","funders":"","keywords":"Nova scotia; Promotion (chess); Sunset; Environmental science; Sunrise; Physical activity; Psychology; Meteorology; Geography; Medicine; Political science; Physical therapy","score_opus":0.020828484775649126,"score_gpt":0.3378720265732618,"score_spread":0.3170435417976127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2115893864","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9850363,0.000040831288,0.000036556045,0.0059959954,0.0037447426,0.0000462365,0.000013060619,0.0000076864035,0.005078571],"genre_scores_gemma":[0.9984387,0.000015555663,0.00020293945,0.00024042703,0.0009564042,3.6473872e-7,0.000002294853,0.0000062411377,0.00013708645],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988255,0.00009265938,0.00033102254,0.000111448,0.00044222223,0.00019715414],"domain_scores_gemma":[0.9991984,0.00018424088,0.0002598005,0.000078212695,0.00019324759,0.00008612304],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009636781,0.00008267184,0.00018485013,0.00053508685,0.000036213165,0.000052770207,0.000542264,0.00015227463,0.0014858508],"category_scores_gemma":[0.00016511741,0.000068153386,0.00010563727,0.00019394456,0.00031526826,0.00034710346,0.00001601128,0.0004119932,0.000024717026],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028595398,0.00019167551,0.96541303,0.0000018199815,0.000070957714,0.00010928871,0.0017039955,0.000003867306,0.02088858,0.0032960789,0.00031657828,0.0077181812],"study_design_scores_gemma":[0.0009835045,0.00021867592,0.9681806,0.000028828863,0.000012797062,0.0000226662,0.00044675654,0.0000040204704,0.003900715,0.0051635476,0.020906774,0.00013113502],"about_ca_topic_score_codex":0.0020905025,"about_ca_topic_score_gemma":0.030429786,"teacher_disagreement_score":0.028339284,"about_ca_system_score_codex":0.000071272334,"about_ca_system_score_gemma":0.00020747706,"threshold_uncertainty_score":0.9994269},"labels":[],"label_agreement":null},{"id":"W2116311953","doi":"10.1080/17477160701875007","title":"Influence of neighbourhood design and access to facilities on overweight among preschool children","year":2008,"lang":"en","type":"article","venue":"International Journal of Pediatric Obesity","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":111,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Capital District Health Authority; University of Alberta","funders":"Centers for Disease Control and Prevention","keywords":"Overweight; Neighbourhood (mathematics); Medicine; Obesity; Demography; Odds; Walkability; Environmental health; Odds ratio; Body mass index; Physical activity; Logistic regression; Physical therapy","score_opus":0.019210536807592094,"score_gpt":0.28583189511891793,"score_spread":0.26662135831132583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2116311953","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99802506,0.00010286519,0.00080783793,0.00023618234,0.00019780226,0.00016964556,0.000025969659,0.000009461845,0.00042516796],"genre_scores_gemma":[0.9984149,0.00036350504,0.00028928273,0.00006812533,0.00073906465,0.0000014024807,8.1220514e-7,0.0000040469026,0.00011887899],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998311,0.000107935746,0.000418739,0.00014121896,0.0008757284,0.00014542422],"domain_scores_gemma":[0.9986454,0.00019169932,0.00035798497,0.000082490995,0.0005462739,0.00017612184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005247714,0.00009592201,0.00018675764,0.00022904045,0.00014437278,0.00006347136,0.00074375165,0.00006452893,0.00012579649],"category_scores_gemma":[0.00036658917,0.00008372419,0.00008341648,0.00018517097,0.00015405145,0.0010312262,0.00005589781,0.00018116407,0.000003657939],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009285332,0.00017085188,0.99598163,0.000004333749,0.000037174803,0.000017496859,0.001775293,0.0011761703,0.000008957623,0.000100822544,0.0004315522,0.00020283836],"study_design_scores_gemma":[0.00029928904,0.00011025164,0.99823153,0.000013030756,0.000022992914,0.0000030274,0.000044685858,0.0000038899575,0.0002702381,0.00086582097,0.000052215728,0.00008305666],"about_ca_topic_score_codex":0.0014633687,"about_ca_topic_score_gemma":0.00011211404,"teacher_disagreement_score":0.0022498458,"about_ca_system_score_codex":0.000075618686,"about_ca_system_score_gemma":0.00026058816,"threshold_uncertainty_score":0.34141734},"labels":[],"label_agreement":null},{"id":"W2117098886","doi":"10.1186/s12966-014-0124-x","title":"Active transportation and public transportation use to achieve physical activity recommendations? A combined GPS, accelerometer, and mobility survey study","year":2014,"lang":"en","type":"article","venue":"International Journal of Behavioral Nutrition and Physical Activity","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":142,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Direction Générale des Infrastructures, des Transports et de la Mer; Institut National de Prévention et d'Éducation pour la Santé","keywords":"TRIPS architecture; Public transport; Physical activity; Global Positioning System; Accelerometer; Transport engineering; Population; Energy expenditure; Medicine; Geography; Environmental health; Computer science; Physical therapy; Engineering; Telecommunications","score_opus":0.09646764070223907,"score_gpt":0.3966751027447408,"score_spread":0.30020746204250176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117098886","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964642,0.000003108914,0.0006053081,0.0018059453,0.00019308571,0.0005364521,0.000364164,0.000022502949,0.000005256843],"genre_scores_gemma":[0.99952954,0.000030696174,0.00010160762,0.000031637454,0.0001962386,0.000027214759,0.00006612782,0.000010179859,0.0000067694295],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980596,0.0005614889,0.00025339096,0.00034111933,0.00059707824,0.00018737187],"domain_scores_gemma":[0.9982387,0.00046024442,0.00030823957,0.00009394172,0.00059579936,0.00030306473],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060067634,0.00018516401,0.00038751334,0.0001599252,0.00025413508,0.00027770424,0.00016997228,0.00007385479,0.000013234453],"category_scores_gemma":[0.00007733305,0.00017663797,0.00010636561,0.00024456013,0.00022005124,0.0024994642,0.000011868652,0.00033785103,4.774975e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0029294435,0.02358709,0.77838475,0.00002227543,0.00009987392,0.0000064550313,0.011604457,0.0000016224313,0.0042008725,0.0002771531,0.000034400022,0.17885163],"study_design_scores_gemma":[0.0018083577,0.00090839755,0.99425477,0.000029519828,0.00008069079,5.4739286e-7,0.0009907258,0.000067216526,0.0006324249,0.00089734676,0.00015401465,0.00017599724],"about_ca_topic_score_codex":0.0050791954,"about_ca_topic_score_gemma":0.0105297705,"teacher_disagreement_score":0.21587004,"about_ca_system_score_codex":0.00009678844,"about_ca_system_score_gemma":0.0000511112,"threshold_uncertainty_score":0.7678258},"labels":[],"label_agreement":null},{"id":"W2117119516","doi":"10.1177/0898264315611668","title":"Caregiving, Transport-Related, and Demographic Correlates of Sedentary Behavior in Older Adults","year":2015,"lang":"en","type":"article","venue":"Journal of Aging and Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Heart, Lung, and Blood Institute; Vanderbilt University","keywords":"Sedentary behavior; Gerontology; Sedentary lifestyle; Multivariate analysis; Injury prevention; Physical activity; Human factors and ergonomics; Suicide prevention; Poison control; Occupational safety and health; Demography; Psychology; Medicine; Environmental health; Physical therapy","score_opus":0.02629809850335941,"score_gpt":0.3242591616183175,"score_spread":0.2979610631149581,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117119516","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9863485,0.011937604,0.000008254887,0.0013285193,0.0001838065,0.00010254051,0.000002424702,0.000005680917,0.00008265186],"genre_scores_gemma":[0.9983412,0.0014558524,0.00008386069,0.00004761138,0.00004135005,5.3085694e-7,9.187333e-7,0.000004211317,0.000024444445],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99897456,0.00006857375,0.0004614288,0.000094994044,0.000230151,0.0001703076],"domain_scores_gemma":[0.99929893,0.000027155671,0.00030397027,0.000043858916,0.00008408493,0.00024202767],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014902143,0.00006358008,0.00024754976,0.00015538119,0.00009677643,0.000010681756,0.000073542426,0.000059463866,0.000009173662],"category_scores_gemma":[0.00000827131,0.00005390593,0.000046384353,0.00018201307,0.00015698142,0.00022066283,0.000004006759,0.00023616466,6.2787635e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019096027,0.000073818,0.95706546,0.0000604466,0.000005618831,0.000017609515,0.038859107,0.0000017039303,5.546813e-7,0.000026801285,0.000038156468,0.0038316168],"study_design_scores_gemma":[0.0009359285,0.00011583256,0.9876592,0.0004140179,0.000023779998,0.0000073709944,0.010488276,0.0000052586797,0.0000018727762,0.00022911382,0.00006830604,0.0000510214],"about_ca_topic_score_codex":0.010061785,"about_ca_topic_score_gemma":0.012362148,"teacher_disagreement_score":0.030593751,"about_ca_system_score_codex":0.000038918544,"about_ca_system_score_gemma":0.00029174617,"threshold_uncertainty_score":0.9965303},"labels":[],"label_agreement":null},{"id":"W2117879448","doi":"10.1111/j.1746-1561.2011.00647.x","title":"School Travel Planning: Mobilizing School and Community Resources to Encourage Active School Transportation","year":2011,"lang":"en","type":"article","venue":"Journal of School Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":121,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"General Electric (Canada)","funders":"","keywords":"Enforcement; Action plan; Promotion (chess); Business; Traffic calming; Intervention (counseling); Health promotion; Transport engineering; Plan (archaeology); Medical education; Public relations; Medicine; Geography; Political science; Engineering; Nursing; Public health","score_opus":0.1003118252253806,"score_gpt":0.3694016365216103,"score_spread":0.26908981129622966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117879448","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9925956,0.00083115534,0.00047826942,0.0013828382,0.00029209754,0.0006060143,0.00003290974,0.00004911987,0.003731991],"genre_scores_gemma":[0.995054,0.00027029356,0.0028297105,0.0010720387,0.00050887687,0.000010885342,0.0000047090816,0.000026653204,0.00022283333],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99592143,0.0010469268,0.0012267703,0.0002910491,0.00085586496,0.0006579505],"domain_scores_gemma":[0.99528736,0.00022080798,0.0009369208,0.0003212183,0.0004389798,0.002794719],"candidate_categories":["sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.005170639,0.00027011737,0.0006354137,0.00039054704,0.0017649503,0.00016195113,0.00069512695,0.00020515107,0.0008064865],"category_scores_gemma":[0.001077857,0.0002451771,0.00017645504,0.000577133,0.00023376718,0.0017124121,0.000019251893,0.0023988688,0.000029163048],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013431722,0.00044652197,0.86991996,0.00017959955,0.000095153286,0.000045615394,0.1204817,0.000021339416,0.0005101532,0.00009670977,0.0025870183,0.0042730514],"study_design_scores_gemma":[0.00078187714,0.00055951875,0.9135296,0.00040110268,0.00004174628,0.0000044839735,0.08157547,0.0000019463318,0.00017823584,0.0011837531,0.0015160335,0.00022627396],"about_ca_topic_score_codex":0.012860417,"about_ca_topic_score_gemma":0.004852182,"teacher_disagreement_score":0.0436096,"about_ca_system_score_codex":0.0005939881,"about_ca_system_score_gemma":0.0021212678,"threshold_uncertainty_score":0.99990267},"labels":[],"label_agreement":null},{"id":"W2117894391","doi":"10.1177/0042098015594079","title":"Waiting for the R train: Public transportation and employment","year":2015,"lang":"en","type":"article","venue":"Urban Studies","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":90,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Unemployment; Public transport; Neighbourhood (mathematics); Limiting; Business; Labour economics; Demographic economics; Public policy; Work (physics); Public economics; Economics; Economic growth; Transport engineering; Engineering","score_opus":0.21813681730846582,"score_gpt":0.3782884055417586,"score_spread":0.16015158823329276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117894391","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96385884,0.017181745,0.00033708403,0.015588417,0.00037582254,0.000597633,0.000021468722,0.00009143726,0.0019475265],"genre_scores_gemma":[0.9983083,0.00013266879,0.000091970796,0.00014784602,0.000262853,0.00007631284,0.0000044102903,0.000004875495,0.000970791],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993079,0.000028847022,0.00014179446,0.0001440404,0.00018472815,0.00019272168],"domain_scores_gemma":[0.99944234,0.00022046876,0.00004724631,0.00006715188,0.00015735297,0.00006542372],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007795342,0.00006682221,0.00011257125,0.000016454433,0.0006263871,0.000052837022,0.00009395052,0.00002520014,0.000005594054],"category_scores_gemma":[0.00016513464,0.00004371143,0.000039629922,0.00010049589,0.00033252515,0.00018363043,0.000004100983,0.0000392663,8.7407426e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025457248,0.000047442878,0.7177525,0.000034648696,0.0001546821,0.0000012116202,0.20194928,0.0000017287289,0.0000053516715,0.029864127,0.019406045,0.030757507],"study_design_scores_gemma":[0.0009843792,0.00008704273,0.29249406,0.000023687982,0.0001573157,7.413822e-8,0.1785477,0.00006296811,0.000037245652,0.014477461,0.51287144,0.00025660766],"about_ca_topic_score_codex":0.00028597034,"about_ca_topic_score_gemma":0.0104504265,"teacher_disagreement_score":0.49346542,"about_ca_system_score_codex":0.000028646671,"about_ca_system_score_gemma":0.00005870491,"threshold_uncertainty_score":0.5831583},"labels":[],"label_agreement":null},{"id":"W2118405100","doi":"10.3141/2351-13","title":"Pedestrian Route Choice of Vertical Facilities in Subway Stations","year":2013,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Arup Group (Canada); University of Toronto","funders":"University of Toronto","keywords":"Pedestrian; Transport engineering; Suite; Transit (satellite); Transit-oriented development; Urbanization; Computer science; Engineering; Public transport; Geography; Economics","score_opus":0.15062154647310483,"score_gpt":0.433726667632296,"score_spread":0.2831051211591912,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118405100","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.991672,0.00018124358,0.00028496815,0.0051799063,0.00032050992,0.0012654344,0.00008941392,0.000019753375,0.0009867979],"genre_scores_gemma":[0.9972681,0.0004695595,0.0004596576,0.000020853851,0.00014238284,0.00008499794,0.000016697415,0.00002503524,0.0015127098],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9908265,0.0019137074,0.0018117944,0.000361166,0.004067735,0.0010190996],"domain_scores_gemma":[0.9925975,0.0021603084,0.00030049513,0.00040902095,0.004077722,0.0004549599],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0052498584,0.00019855575,0.00049927924,0.0009957638,0.0006878868,0.0001597758,0.0012897078,0.00023044513,0.0017316169],"category_scores_gemma":[0.00074015156,0.00015722192,0.00036664962,0.0028392554,0.001886438,0.0015659772,0.0000053638214,0.0018818211,0.000026504427],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028576082,0.0003167762,0.97702414,0.00018937614,0.000046602017,0.000017138695,0.0139344055,0.00016939077,0.0008392366,0.0037647341,0.0011356456,0.002276823],"study_design_scores_gemma":[0.0010836221,0.00021075908,0.96764696,0.00019505054,0.000021951224,2.2070047e-8,0.012876114,0.000027427965,0.00051846466,0.0075563756,0.009720571,0.0001426951],"about_ca_topic_score_codex":0.3343744,"about_ca_topic_score_gemma":0.650947,"teacher_disagreement_score":0.31657258,"about_ca_system_score_codex":0.00033444155,"about_ca_system_score_gemma":0.0016471817,"threshold_uncertainty_score":0.9991809},"labels":[],"label_agreement":null},{"id":"W2118689076","doi":"10.3141/2495-04","title":"Joint Econometric Analysis of Temporal and Spatial Flexibility of Activities, Vehicle Type Choice, and Primary Driver Selection","year":2015,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval; McGill University","funders":"","keywords":"Flexibility (engineering); Multinomial logistic regression; Travel behavior; Econometric model; Selection (genetic algorithm); Discrete choice; Mixed logit; Econometrics; Computer science; Transport engineering; Logistic regression; Engineering; Economics; Statistics; Mathematics; Artificial intelligence; Machine learning","score_opus":0.14333987661327877,"score_gpt":0.4045697682695689,"score_spread":0.2612298916562902,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118689076","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978681,0.00033079842,0.00030427962,0.0004952523,0.00015916939,0.000531493,0.000065601096,0.000010279549,0.0002349995],"genre_scores_gemma":[0.99870926,0.00049197156,0.00047010576,0.000008857786,0.000082103805,0.000008026974,0.000019964047,0.000014320016,0.00019540518],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9945621,0.001127408,0.0011759493,0.0003352417,0.002357345,0.00044197007],"domain_scores_gemma":[0.9950004,0.0007685662,0.00061119156,0.00024001297,0.0029891494,0.00039063525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0069357823,0.00014620362,0.00062252657,0.0016647101,0.00035976438,0.00006197209,0.00039258934,0.00017016658,0.00016826986],"category_scores_gemma":[0.0003369317,0.00011882845,0.000247813,0.004876405,0.0015064613,0.00080241036,0.000007163145,0.00084766815,5.2164467e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00089395064,0.00021631895,0.98684746,0.0001632426,0.00030812548,0.0000031520797,0.005415675,0.0002747792,0.0009558311,0.00027507008,0.00012480629,0.004521571],"study_design_scores_gemma":[0.000861584,0.0005534363,0.99261147,0.000058302812,0.00024178177,2.8199498e-8,0.0026291031,0.00022702265,0.00066726684,0.0010596326,0.0009870292,0.00010335348],"about_ca_topic_score_codex":0.13507077,"about_ca_topic_score_gemma":0.34103572,"teacher_disagreement_score":0.20596497,"about_ca_system_score_codex":0.00024414115,"about_ca_system_score_gemma":0.0012393126,"threshold_uncertainty_score":0.87068886},"labels":[],"label_agreement":null},{"id":"W2118966002","doi":"10.3141/2285-07","title":"Are Cell Phone Samples Needed for Studies of Walking Activity?","year":2012,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"New Jersey Department of Transportation","keywords":"Landline; Phone; Sample (material); Multivariate analysis; Psychology; Geography; Statistics; Mathematics","score_opus":0.28084607872527284,"score_gpt":0.4723045177386368,"score_spread":0.19145843901336396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118966002","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99254197,0.0013569982,0.0009836372,0.002657044,0.00084239646,0.0012897142,0.00011893987,0.000023655817,0.00018564615],"genre_scores_gemma":[0.9956879,0.0011723861,0.0017212656,0.00003212894,0.00053126743,0.000085051084,0.000007471968,0.00004032337,0.00072219956],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99198824,0.0015467723,0.0012940741,0.0003168236,0.0036178117,0.0012362965],"domain_scores_gemma":[0.98950297,0.0031259155,0.0011531628,0.0003802666,0.0053832815,0.00045441813],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.011490964,0.00022864553,0.0006754822,0.00074048224,0.0013396636,0.00007825144,0.0010814263,0.00021626211,0.00021741302],"category_scores_gemma":[0.0007972004,0.00017427006,0.0005985721,0.002019537,0.0016007092,0.0014115123,0.0000063773523,0.0012762843,0.0000051395887],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017586023,0.0007107355,0.93939084,0.0008480372,0.0002151023,0.000008799973,0.037173264,0.00006049005,0.009751913,0.001394927,0.004412046,0.004275236],"study_design_scores_gemma":[0.0012447799,0.00019585101,0.9203098,0.0003266466,0.00009702605,2.826707e-8,0.049987886,0.0000040757836,0.014468442,0.0030047526,0.010180364,0.00018038019],"about_ca_topic_score_codex":0.016481003,"about_ca_topic_score_gemma":0.093737155,"teacher_disagreement_score":0.07725616,"about_ca_system_score_codex":0.0002903935,"about_ca_system_score_gemma":0.0006446123,"threshold_uncertainty_score":0.9999605},"labels":[],"label_agreement":null},{"id":"W2119127883","doi":"","title":"Differences in transport and land use in thirteen comparable Australian, American, Canadian and European cities between 1995/6 to 2005/6 and their implications for more sustainable transport","year":2011,"lang":"en","type":"article","venue":"eSpace (Curtin University)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Public transport; Sustainable transport; Relation (database); Land use; Order (exchange); Business; Environmental planning; Car ownership; Passenger transport; Geography; Regional science; Transport engineering; Sustainability; Computer science; Engineering; Finance; Civil engineering","score_opus":0.054700823664159334,"score_gpt":0.25153818163247726,"score_spread":0.19683735796831792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119127883","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99418175,0.000022696862,0.00006824668,0.0025885354,0.000008514475,0.0004933285,0.00016444286,0.00002475909,0.0024477073],"genre_scores_gemma":[0.99379694,0.000056365443,0.00020256368,0.000039251998,0.000014812407,0.0000025709173,0.000016399943,0.00000843059,0.0058626374],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998921,0.00007486142,0.00014281509,0.00032762712,0.00005034514,0.00048334576],"domain_scores_gemma":[0.99934644,0.00007778196,0.00005329735,0.00011359027,0.000045473535,0.00036344765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032077768,0.00013842488,0.0002618444,0.00034250825,0.00032048882,0.000034299585,0.00018538997,0.000053031923,0.000013649179],"category_scores_gemma":[0.000012295075,0.00014044355,0.00002564031,0.00048474822,0.0005341237,0.00043254354,0.000012055943,0.0001137312,2.7190646e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003826048,0.000017321632,0.9729843,0.00001891347,0.000009462343,0.000014022307,0.025336904,8.61093e-7,0.0000031200486,0.001404115,0.000033361124,0.00013931871],"study_design_scores_gemma":[0.00031986219,0.00003703994,0.95243686,0.000020604513,0.000019288991,1.2681002e-7,0.028499302,0.0000013364682,0.0000058125584,0.00014889409,0.018340457,0.00017040066],"about_ca_topic_score_codex":0.5679434,"about_ca_topic_score_gemma":0.9382278,"teacher_disagreement_score":0.37028438,"about_ca_system_score_codex":0.00008912094,"about_ca_system_score_gemma":0.0001538046,"threshold_uncertainty_score":0.5727122},"labels":[],"label_agreement":null},{"id":"W2119144474","doi":"10.1186/1479-5868-11-20","title":"The environmental correlates of overall and neighborhood based recreational walking (a cross-sectional analysis of the RECORD Study)","year":2014,"lang":"en","type":"article","venue":"International Journal of Behavioral Nutrition and Physical Activity","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":74,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Agence Régionale de Santé Île-de-France; Institut pour la Recherche en Santé Publique; Conservatoire National des Arts et Métiers; Canadian Institutes of Health Research; Institut de Veille Sanitaire; Agence Nationale de la Recherche; Conseil Régional, Île-de-France; Institut National de Prévention et d'Éducation pour la Santé","keywords":"Recreation; Odds; Confidence interval; Odds ratio; Geography; Medicine; Environmental health; Demography; Logistic regression; Ecology","score_opus":0.024032095322082364,"score_gpt":0.34305206130863103,"score_spread":0.3190199659865487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119144474","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992746,0.000019239013,0.00012356484,0.00019627629,0.00019693821,0.000098342425,0.00004447659,0.000002154872,0.000044391563],"genre_scores_gemma":[0.99977946,0.000022293732,0.000022554152,0.000008702875,0.00014333769,0.000002672075,0.0000044113503,0.0000024163317,0.000014155086],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987876,0.0001946311,0.00024977996,0.00010169157,0.0005985712,0.00006773349],"domain_scores_gemma":[0.9989539,0.00035609718,0.00042553674,0.00006016915,0.00015912885,0.000045204015],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000437939,0.00006510859,0.00017093125,0.0000657689,0.00021351516,0.00006226922,0.00018698523,0.000036645848,0.00003611651],"category_scores_gemma":[0.000034419536,0.000042512405,0.00019950295,0.000118598575,0.0003880956,0.00027431903,0.000024953795,0.00015445265,7.528292e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021467598,0.0016701143,0.9869722,0.0000020669497,0.00011410665,3.5679224e-7,0.0004264087,0.000015184122,0.0012604236,0.00041252302,0.0000018950302,0.00891005],"study_design_scores_gemma":[0.00063368905,0.00011713275,0.99581677,0.000015431839,0.00017253254,3.603068e-7,0.00015588976,0.0007883502,0.00038432938,0.001810407,0.0000618913,0.000043209755],"about_ca_topic_score_codex":0.0002751293,"about_ca_topic_score_gemma":0.00021121239,"teacher_disagreement_score":0.00886684,"about_ca_system_score_codex":0.000049680293,"about_ca_system_score_gemma":0.000030645504,"threshold_uncertainty_score":0.17336056},"labels":[],"label_agreement":null},{"id":"W2119152801","doi":"10.5198/jtlu.v7i2.769","title":"Special section: Innovations in location choice modeling underlying activity-travel behavior","year":2014,"lang":"en","type":"article","venue":"Journal of Transport and Land Use","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto; McMaster University","funders":"","keywords":"Section (typography); Travel behavior; Transport engineering; Regional science; Operations research; Geography; Engineering; Advertising; Business","score_opus":0.08184461672119861,"score_gpt":0.3331273462652135,"score_spread":0.25128272954401487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119152801","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98791134,0.000019603509,0.010474851,0.00025523835,0.0006302399,0.00008285998,0.0000018807649,0.000006749754,0.0006172327],"genre_scores_gemma":[0.99726325,0.00003919701,0.00015211369,0.00002784387,0.002426208,0.0000015897677,0.000002957624,0.0000050380336,0.00008179801],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99918336,0.000038218397,0.00032465853,0.00009896755,0.00022153792,0.00013324419],"domain_scores_gemma":[0.9995328,0.00005069328,0.00013130865,0.000053426647,0.00016159074,0.00007017191],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064940826,0.00006964173,0.00016308676,0.00014062467,0.00020693765,0.000051633328,0.00007543969,0.00008697293,0.00003608035],"category_scores_gemma":[0.000029314017,0.00006169596,0.00004481515,0.00032492864,0.00004998726,0.0008889565,0.0000014628855,0.00024305293,1.7768639e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033655382,0.00009921575,0.99488086,0.000012080215,0.0000057018024,0.000004311994,0.0019308632,0.00042677394,0.00007379516,0.00019133468,0.000010875026,0.0023305616],"study_design_scores_gemma":[0.00048656345,0.000028971028,0.99639904,0.000039810013,0.00004050329,0.0000013257162,0.0002578865,0.00036995573,0.00000918214,0.0001612435,0.0021312349,0.00007426444],"about_ca_topic_score_codex":0.0026354713,"about_ca_topic_score_gemma":0.03348156,"teacher_disagreement_score":0.03084609,"about_ca_system_score_codex":0.00003994774,"about_ca_system_score_gemma":0.00011384125,"threshold_uncertainty_score":0.9841549},"labels":[],"label_agreement":null},{"id":"W2119417193","doi":"10.1123/japa.2013-0047","title":"Agreement Between Virtual and In-the-Field Environment Audits of Assisted Living Sites","year":2014,"lang":"en","type":"article","venue":"Journal of Aging and Physical Activity","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Audit; Field (mathematics); Assisted living; Business; Psychology; Environmental science; Medicine; Nursing; Accounting; Mathematics","score_opus":0.023487296289588733,"score_gpt":0.2980280533912455,"score_spread":0.27454075710165676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119417193","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99810773,0.000027038053,0.00035010854,0.0011043152,0.000019352046,0.000032261793,9.2853935e-7,0.0000014874411,0.00035677713],"genre_scores_gemma":[0.9996426,0.000017796476,0.000029224808,0.00002908402,0.00026456095,2.7824652e-7,9.253535e-8,0.0000014484226,0.0000148916615],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992678,0.00018989225,0.00011757077,0.00007682538,0.00025216668,0.00009574842],"domain_scores_gemma":[0.9985519,0.0011670651,0.00016525346,0.000050845516,0.000013546615,0.000051407376],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091018534,0.00005274483,0.00018103757,0.000024852281,0.000105610525,0.000025896863,0.00008638571,0.000024698815,0.0000065308927],"category_scores_gemma":[0.000098547505,0.000035939014,0.000046262932,0.000055522305,0.00011350673,0.0001879446,0.00001749646,0.00017305082,2.0367662e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014382837,0.00031581544,0.9094247,0.00001878462,0.000019017874,0.000001164777,0.0068065757,0.000004288455,0.0021086782,0.000092130686,0.00002351935,0.081170924],"study_design_scores_gemma":[0.00010854245,0.00013285816,0.99753875,0.000050204082,0.000028764327,1.7795878e-7,0.0003103568,0.00003591279,0.0009371573,0.0005797263,0.0002341635,0.000043400505],"about_ca_topic_score_codex":0.00018341394,"about_ca_topic_score_gemma":0.000073403055,"teacher_disagreement_score":0.08811402,"about_ca_system_score_codex":0.000013977615,"about_ca_system_score_gemma":0.000014057415,"threshold_uncertainty_score":0.14655505},"labels":[],"label_agreement":null},{"id":"W2119616510","doi":"10.1016/j.amepre.2004.11.001","title":"Linking objectively measured physical activity with objectively measured urban form","year":2005,"lang":"en","type":"article","venue":"American Journal of Preventive Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1548,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver Community College; University of British Columbia","funders":"Centers for Disease Control and Prevention; Georgia Department of Transportation; U.S. Department of Transportation","keywords":"Walkability; Quartile; Built environment; Physical activity; Level design; Medicine; Environmental health; Confidence interval; Gerontology; Demography; Physical therapy","score_opus":0.021981186467343358,"score_gpt":0.3121627742585674,"score_spread":0.29018158779122405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119616510","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98495424,0.00023607204,0.007279102,0.0016837514,0.00018301026,0.00031751493,0.000004700712,0.00003884044,0.0053027975],"genre_scores_gemma":[0.995915,0.000027681765,0.00090136396,0.000108735985,0.002545887,0.0000069030907,0.0000011391834,0.000024802468,0.0004684901],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9965928,0.0005979902,0.00043232035,0.00033675035,0.0015475319,0.00049256947],"domain_scores_gemma":[0.9969347,0.00030701747,0.0012349662,0.000195025,0.00096923223,0.00035906982],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022381758,0.00027501732,0.0008967513,0.00020412705,0.00039012372,0.000030808154,0.00047732343,0.000052372325,0.00007627071],"category_scores_gemma":[0.00036296362,0.0001879903,0.00024588953,0.0009481683,0.0020789977,0.0009031201,0.000021098762,0.0006567413,0.0000042844035],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018563495,0.0012667862,0.46432552,0.000027290933,0.0006792488,0.00005591405,0.07823361,0.00001557839,0.0043840753,0.0002865348,0.00024357726,0.44862553],"study_design_scores_gemma":[0.0028280716,0.0030123969,0.9703739,0.00068398815,0.0005814915,0.000015433903,0.013380533,0.000030569783,0.0028115408,0.0014447627,0.0043756836,0.00046158876],"about_ca_topic_score_codex":0.001197691,"about_ca_topic_score_gemma":0.0022956578,"teacher_disagreement_score":0.50604844,"about_ca_system_score_codex":0.0003916419,"about_ca_system_score_gemma":0.00066934986,"threshold_uncertainty_score":0.7666022},"labels":[],"label_agreement":null},{"id":"W2119710537","doi":"10.1016/j.jtrangeo.2013.04.005","title":"Factors influencing modal split of commuting journeys in medium-size European cities","year":2013,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":176,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Car ownership; Public transport; Per capita; Modal shift; Population; Business; Demographic economics; Transport engineering; Economics; Engineering; Demography","score_opus":0.022575958320559204,"score_gpt":0.26243565591716583,"score_spread":0.23985969759660664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119710537","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9932404,0.00040096452,0.000050454608,0.0002786355,0.00029775564,0.00015635385,0.000008994615,0.000019758008,0.0055466588],"genre_scores_gemma":[0.99927545,0.00010131939,0.0003482841,0.00005900194,0.00017584102,0.0000010202867,0.0000021623216,0.000016258755,0.000020676052],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997114,0.00023059636,0.0013252449,0.00014814653,0.00076451927,0.00041751316],"domain_scores_gemma":[0.99825144,0.00021206736,0.00076304196,0.00017116046,0.00036750053,0.00023481414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021677657,0.000188142,0.00052009895,0.00043409815,0.00020861592,0.00004999342,0.0006836794,0.000099577795,0.00055352686],"category_scores_gemma":[0.00007498623,0.00015163618,0.0005264046,0.0006899543,0.0005066466,0.0010458769,0.000010059816,0.0005583905,0.0000014719964],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017319802,0.000097854405,0.97820514,0.000043638258,0.000058056154,0.000020450108,0.020502022,0.00004907766,0.00037737246,0.000044472465,0.000018980892,0.00056561764],"study_design_scores_gemma":[0.00043340624,0.00005957416,0.9858728,0.00019831631,0.00005694127,7.0687145e-7,0.01165308,0.0000015660158,0.00025644983,0.0009843498,0.0003306045,0.00015221126],"about_ca_topic_score_codex":0.0062788147,"about_ca_topic_score_gemma":0.0024380442,"teacher_disagreement_score":0.008848942,"about_ca_system_score_codex":0.000038947226,"about_ca_system_score_gemma":0.00019236242,"threshold_uncertainty_score":0.94917315},"labels":[],"label_agreement":null},{"id":"W2119866237","doi":"10.1007/s11116-006-8074-z","title":"Exploring the propensity to perform social activities: a social network approach","year":2006,"lang":"en","type":"article","venue":"Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":210,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Universidad de Chile","keywords":"Social network (sociolinguistics); Social heuristics; Conceptual model; Social relation; Context (archaeology); Social environment; Process (computing); Computer science; Knowledge management; Data science; Social change; Social competence; Sociology; Psychology; Social psychology; Social media; World Wide Web; Social science; Political science; Geography","score_opus":0.10218558866270573,"score_gpt":0.2845291810928884,"score_spread":0.18234359243018267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119866237","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9842822,0.000008126277,0.0011717676,0.0009401151,0.0001931176,0.00051250105,0.000013355991,0.00012477148,0.012754077],"genre_scores_gemma":[0.99699974,0.0000022403444,0.00020995305,0.0000949827,0.0020534708,0.00012987023,0.00007697859,0.00001273941,0.00042001865],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986563,0.00007061565,0.00023129249,0.00024079107,0.00042491456,0.0003760968],"domain_scores_gemma":[0.99971974,0.000028387376,0.000072802824,0.00007847281,0.00005759331,0.000043017528],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00059251784,0.00011635691,0.00016063672,0.000025715692,0.0020757804,0.00008425562,0.00020033949,0.0000618696,0.000060472652],"category_scores_gemma":[0.000003267971,0.00009426135,0.00011014241,0.00045717528,0.00017726344,0.00062007224,0.000002191141,0.00016039079,0.0000071339628],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032743104,0.00035801486,0.6498046,0.00009428347,0.00004525278,0.0000055690853,0.26625308,0.0007979846,0.00021138464,0.056359503,0.002970592,0.022772305],"study_design_scores_gemma":[0.00014187887,0.000009805371,0.9883099,0.0000041733165,0.00003405668,1.896951e-8,0.004396629,0.000010595473,0.000052067764,0.0010903892,0.005804822,0.00014566217],"about_ca_topic_score_codex":0.006118701,"about_ca_topic_score_gemma":0.028111372,"teacher_disagreement_score":0.3385053,"about_ca_system_score_codex":0.00007861327,"about_ca_system_score_gemma":0.00009640311,"threshold_uncertainty_score":0.9992234},"labels":[],"label_agreement":null},{"id":"W2120132979","doi":"10.1061/(asce)0733-9488(2007)133:2(114)","title":"Case Study: Relationship of Walk Access Distance to Transit with Service, Travel, and Personal Characteristics","year":2007,"lang":"en","type":"article","venue":"Journal of Urban Planning and Development","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":150,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Transit (satellite); Downtown; Transport engineering; TRIPS architecture; Service (business); Business; Public transport; Geography; Advertising; Marketing; Engineering","score_opus":0.05911398414089901,"score_gpt":0.32830864985655617,"score_spread":0.26919466571565714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120132979","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9931743,0.00016252208,0.0061534336,0.00014949772,0.000057003526,0.00012788517,0.000003876427,0.000004852941,0.00016658448],"genre_scores_gemma":[0.9984047,0.0000022147856,0.0013946465,0.000060189344,0.00006454458,8.4481445e-7,0.0000011515363,0.0000049709033,0.00006676574],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989749,0.00003187616,0.00042144072,0.00011712088,0.0002960323,0.00015863661],"domain_scores_gemma":[0.9992272,0.00012309359,0.00022655021,0.000038884053,0.00018663712,0.00019760417],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011550282,0.00009023767,0.000217707,0.00010568194,0.00030794216,0.000066051776,0.000093240145,0.000039951243,0.000007051573],"category_scores_gemma":[0.000024843612,0.000070214934,0.000013543572,0.00021371024,0.000059469126,0.00022931784,0.000008877154,0.00014669352,1.3185567e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019901857,0.00007511089,0.8509947,0.000034138655,0.000027031852,0.00072343653,0.1459948,0.00000144286,0.0000063243738,0.000008984699,0.000025976673,0.0019090642],"study_design_scores_gemma":[0.00043242873,0.00010638867,0.9692275,0.00012164009,0.000029994466,0.00010098795,0.029180856,0.00000267277,0.000025520092,0.000008970328,0.00066316145,0.00009990966],"about_ca_topic_score_codex":0.00016489868,"about_ca_topic_score_gemma":0.0015355622,"teacher_disagreement_score":0.11823279,"about_ca_system_score_codex":0.000040508537,"about_ca_system_score_gemma":0.00021794469,"threshold_uncertainty_score":0.28632817},"labels":[],"label_agreement":null},{"id":"W2120278419","doi":"10.1186/s12889-015-2082-x","title":"Associations between neighbourhood walkability and daily steps in adults: a systematic review and meta-analysis","year":2015,"lang":"en","type":"review","venue":"BMC Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":193,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; McGill University Health Centre","funders":"Canadian Institutes of Health Research; Heart and Stroke Foundation of Canada","keywords":"Walkability; Neighbourhood (mathematics); Medicine; Built environment; Biostatistics; Meta-analysis; Environmental health; Level design; Pedometer; Gerontology; Scopus; Multilevel model; Demography; Public health; MEDLINE; Physical activity; Physical therapy; Ecology","score_opus":0.23866476117607846,"score_gpt":0.4364888347828403,"score_spread":0.19782407360676182,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120278419","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000018315663,0.99013984,0.00002967585,0.00236714,0.00002297427,0.005405135,0.001388053,0.00006290802,0.0005659634],"genre_scores_gemma":[0.0005612339,0.9977578,0.00015841683,0.0002877037,0.000059299695,0.00045337793,0.00045958703,0.000020692709,0.000241897],"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","domain_scores_codex":[0.9897944,0.0049420577,0.0028104563,0.0009137136,0.00081445475,0.0007249624],"domain_scores_gemma":[0.9950718,0.0011303185,0.0019199923,0.00066679367,0.00033524624,0.0008758435],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.026962906,0.00043715656,0.011319045,0.00042036557,0.00037490617,0.00029569064,0.0005549948,0.00037206092,0.00015210808],"category_scores_gemma":[0.0026153042,0.00030774577,0.0012015842,0.0032119195,0.00019454556,0.00055960385,0.000079113335,0.0005061004,0.0000074397803],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[2.512852e-7,0.00009629461,0.02496581,0.9543359,0.011452689,4.3128807e-7,0.0014010763,4.88133e-9,7.505339e-12,0.0003524584,0.00012716367,0.007267907],"study_design_scores_gemma":[0.00034034203,0.00005832389,0.029557727,0.029266518,0.83363837,5.3494284e-7,0.0008085595,0.0000012849914,1.2601609e-10,0.0005494121,0.10477694,0.00100196],"about_ca_topic_score_codex":0.013175964,"about_ca_topic_score_gemma":0.056234982,"teacher_disagreement_score":0.9250694,"about_ca_system_score_codex":0.0010034423,"about_ca_system_score_gemma":0.0045324587,"threshold_uncertainty_score":0.9999375},"labels":[],"label_agreement":null},{"id":"W2121112603","doi":"","title":"Better Living Through Mobility: The relationship between access to transportation, well-being and disability","year":2014,"lang":"en","type":"article","venue":"Transportation Research Board 93rd Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Public transport; Descriptive statistics; Cognition; Psychology; Universal design; Work (physics); Quality of life (healthcare); Cognitive disabilities; Statistical analysis; Applied psychology; Transport engineering; Engineering; Statistics; Mathematics","score_opus":0.10668572214505288,"score_gpt":0.43254184954919955,"score_spread":0.32585612740414666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2121112603","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96350724,0.00009508957,0.003138312,0.024291335,0.00022312363,0.0036272006,0.00026163916,0.0003864629,0.004469612],"genre_scores_gemma":[0.99527925,0.00009047979,0.0012672229,0.00052993844,0.0008658958,0.0008584161,0.00032242062,0.00011308736,0.00067330536],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98296446,0.0046788957,0.0020044108,0.002063598,0.0057961773,0.0024924707],"domain_scores_gemma":[0.97827816,0.015761172,0.00030017277,0.0012029653,0.0033108867,0.0011466267],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity"],"consensus_categories":["sts"],"category_scores_codex":[0.02234992,0.0006021862,0.0008054526,0.00061212346,0.0058328602,0.0011227225,0.0020205383,0.00057561946,0.00054583215],"category_scores_gemma":[0.0037103023,0.00054065534,0.00034132923,0.0045996355,0.004701747,0.0036418487,0.000033444525,0.0027740465,0.000111689886],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001953582,0.00022013471,0.905603,0.00034425946,0.00004965855,0.000008519493,0.06740496,0.00011839726,0.000044850112,0.022367941,0.0012514221,0.0023914778],"study_design_scores_gemma":[0.00053787633,0.00021480207,0.9210434,0.0003225758,0.000077029596,3.663524e-8,0.015102436,0.000015526888,0.00014251511,0.03198151,0.03000963,0.00055264786],"about_ca_topic_score_codex":0.06130429,"about_ca_topic_score_gemma":0.20790647,"teacher_disagreement_score":0.14660218,"about_ca_system_score_codex":0.00037999687,"about_ca_system_score_gemma":0.000545614,"threshold_uncertainty_score":0.9999142},"labels":[],"label_agreement":null},{"id":"W2121407336","doi":"10.1016/j.jcjd.2013.03.294","title":"From the Environment to Health: Built Environment Impacts on Active Transportation, Physical Activity and Obesity","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Diabetes","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Walkability; Neighbourhood (mathematics); Built environment; Body mass index; Medicine; Obesity; Physical activity; Logistic regression; Demography; Odds; Environmental health; Context (archaeology); Gerontology; Geography; Physical therapy","score_opus":0.015819776472174148,"score_gpt":0.24987619507906958,"score_spread":0.23405641860689544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2121407336","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9844211,0.00015458565,0.00001156847,0.014908476,0.00007987056,0.0002602865,0.00010354087,0.0000026448972,0.000057957084],"genre_scores_gemma":[0.99904835,0.000013507133,0.00003145405,0.000628403,0.00023970721,0.000005474015,0.0000033256395,0.0000062069207,0.000023585215],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99901015,0.00012001553,0.00014679616,0.00014533752,0.00024727502,0.00033045383],"domain_scores_gemma":[0.9985883,0.0001682243,0.00014313405,0.00012241585,0.000020722004,0.00095720164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024751018,0.000102584796,0.0001921256,0.00003826924,0.00041665463,0.000072021896,0.00020020735,0.000040075593,0.000337585],"category_scores_gemma":[0.00003472633,0.00007438883,0.00006870048,0.000057407335,0.00022427994,0.00029809462,0.0000024353958,0.00018927087,0.000023542898],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003494781,0.000088913715,0.94836164,0.0000042231954,0.0000428807,0.0000014738988,0.027023602,0.00003349788,0.0004262242,0.000037184294,0.001070566,0.022906328],"study_design_scores_gemma":[0.000117037736,0.00011088178,0.9945431,0.0000248564,0.00001606442,8.249665e-9,0.0011032526,0.0000030251697,0.0006921241,0.0011195336,0.0021904025,0.00007973483],"about_ca_topic_score_codex":0.07167311,"about_ca_topic_score_gemma":0.10042598,"teacher_disagreement_score":0.046181466,"about_ca_system_score_codex":0.0002866868,"about_ca_system_score_gemma":0.0003948088,"threshold_uncertainty_score":0.9345087},"labels":[],"label_agreement":null},{"id":"W2121645930","doi":"10.1186/1479-5868-8-30","title":"A cross-sectional study of the individual, social, and built environmental correlates of pedometer-based physical activity among elementary school children","year":2011,"lang":"en","type":"article","venue":"International Journal of Behavioral Nutrition and Physical Activity","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"National Health and Medical Research Council; Canadian Institutes of Health Research","keywords":"Pedometer; Clinical nutrition; Cross-sectional study; Physical activity; Behavioural sciences; Psychology; Gerontology; Environmental health; Medicine; Physical therapy","score_opus":0.0674829777016679,"score_gpt":0.36316135014233675,"score_spread":0.29567837244066886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2121645930","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993364,0.000006339896,0.000010980002,0.000034318527,0.00013338402,0.00026738134,0.00019331247,0.000004888812,0.000012966651],"genre_scores_gemma":[0.9997128,0.000005270264,0.000017548502,0.0000039686142,0.00023857605,0.0000066836255,0.0000053283566,0.000005499081,0.000004322219],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99852514,0.00017888121,0.00022197077,0.00016149365,0.0008043688,0.0001081591],"domain_scores_gemma":[0.99915594,0.0000717869,0.0005064303,0.00006376924,0.00011742033,0.00008468246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020998137,0.00011340412,0.00023694857,0.00007434513,0.00020311089,0.000048606882,0.00027910477,0.000058061418,0.000070584494],"category_scores_gemma":[0.000011043534,0.00009012069,0.0001905966,0.00009209826,0.00073609257,0.0006697912,0.00006550611,0.00031415705,2.0759444e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035854752,0.027884668,0.96340907,0.0000064748,0.00008333124,0.000001806767,0.002589008,6.1812733e-7,0.0033664955,0.000010962553,0.0000037762215,0.0022852349],"study_design_scores_gemma":[0.0016015106,0.00061369373,0.99135596,0.000021878264,0.000105086205,0.00000118219,0.00060141546,0.000016721566,0.005244238,0.0003528398,0.0000016044459,0.00008388559],"about_ca_topic_score_codex":0.0021590982,"about_ca_topic_score_gemma":0.00017570386,"teacher_disagreement_score":0.027946867,"about_ca_system_score_codex":0.00006262624,"about_ca_system_score_gemma":0.000049089474,"threshold_uncertainty_score":0.3675015},"labels":[],"label_agreement":null},{"id":"W2121736458","doi":"10.1007/s11116-014-9522-9","title":"Analyzing car ownership in Quebec City: a comparison of traditional and latent class ordered and unordered models","year":2014,"lang":"en","type":"article","venue":"Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":48,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Latent class model; Multinomial logistic regression; Car ownership; Econometrics; Context (archaeology); Class (philosophy); Population; Metropolitan area; Discrete choice; Latent variable; Estimation; Mixed logit; Logistic regression; Geography; Economics; Computer science; Public transport; Sociology; Demography; Engineering; Artificial intelligence; Machine learning; Transport engineering","score_opus":0.07520287023124486,"score_gpt":0.30242184406792855,"score_spread":0.22721897383668369,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2121736458","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99606425,0.00012845019,0.0027478733,0.0003637232,0.000029768418,0.00015723295,0.000020241545,0.000021171136,0.00046731465],"genre_scores_gemma":[0.9995344,0.00002331337,0.0002461125,0.000014916667,0.000022753922,0.000006444769,0.00009682586,0.000004851784,0.000050341416],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99908036,0.00007098561,0.00031782675,0.00019797627,0.00019119967,0.00014166409],"domain_scores_gemma":[0.99963814,0.000085017746,0.00010016148,0.00005960466,0.000050693165,0.00006637862],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035765485,0.000080622754,0.0002132331,0.00008153482,0.0001009716,0.000022528124,0.000056828194,0.00008493393,0.000025609084],"category_scores_gemma":[0.000011155047,0.00007979358,0.00003096713,0.00020572933,0.00019712775,0.00035214712,5.4495627e-7,0.000088909204,1.3722509e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040527502,0.00008396718,0.9640333,0.00004886449,0.000008460487,5.044281e-7,0.019266743,0.0004890758,0.00020638171,0.0127529325,0.0000037359266,0.0030655195],"study_design_scores_gemma":[0.00054383575,0.000027305794,0.9830516,0.000033538607,0.000033003147,1.5597298e-8,0.0016326699,0.00437044,0.000099199315,0.010049963,0.000057205973,0.00010120871],"about_ca_topic_score_codex":0.055414632,"about_ca_topic_score_gemma":0.59336793,"teacher_disagreement_score":0.5379533,"about_ca_system_score_codex":0.000025697756,"about_ca_system_score_gemma":0.00006063888,"threshold_uncertainty_score":0.95087546},"labels":[],"label_agreement":null},{"id":"W2121968279","doi":"10.1371/journal.pone.0085295","title":"Density, Destinations or Both? A Comparison of Measures of Walkability in Relation to Transportation Behaviors, Obesity and Diabetes in Toronto, Canada","year":2014,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":194,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"St. Michael's Hospital; University of Toronto; Public Health Ontario; Institute for Clinical Evaluative Sciences","funders":"Canadian Institutes of Health Research; University of Toronto; Ontario Ministry of Health and Long-Term Care; Institute for Clinical Evaluative Sciences","keywords":"Walkability; Destinations; Environmental health; Built environment; Geography; Overweight; Obesity; Poison control; Public transport; Transport engineering; Gerontology; Medicine; Ecology; Engineering","score_opus":0.04987470965981577,"score_gpt":0.29065274414601405,"score_spread":0.24077803448619828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2121968279","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99932456,0.0000437946,0.000022610033,0.000107075524,0.000012478546,0.0003124401,0.000015390571,0.000007930389,0.00015370251],"genre_scores_gemma":[0.99936855,0.0000032829566,0.0005789722,0.000006603257,0.0000073112133,0.000010745941,0.000011376145,0.0000026971752,0.000010483987],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99893326,0.000118030905,0.00034193264,0.0001441043,0.00034586835,0.00011683454],"domain_scores_gemma":[0.99949956,0.00014639861,0.00009297186,0.00009123703,0.00011430718,0.000055527198],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006106471,0.000054250315,0.00024026226,0.000033312448,0.000055012497,0.000005180189,0.00007667782,0.00005307252,0.00003233572],"category_scores_gemma":[0.00028645172,0.000054729113,0.000012725097,0.00019630235,0.00007751669,0.00017206998,0.0000034795096,0.0000582436,5.2634743e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018985445,0.00073344255,0.99219656,0.00006798652,0.0000037833918,1.262847e-7,0.0042309375,0.000008310413,0.002150245,0.00014376649,0.0000021610383,0.00044370073],"study_design_scores_gemma":[0.00015152546,0.000038143473,0.99409103,0.00008396902,0.000030979092,1.0873803e-9,0.00059865875,0.000094315816,0.0046300767,0.00022207256,0.0000016321482,0.000057600082],"about_ca_topic_score_codex":0.88256586,"about_ca_topic_score_gemma":0.99946576,"teacher_disagreement_score":0.11689991,"about_ca_system_score_codex":0.00023163931,"about_ca_system_score_gemma":0.0001817527,"threshold_uncertainty_score":0.22317885},"labels":[],"label_agreement":null},{"id":"W2121974070","doi":"10.1186/s12889-015-2411-0","title":"Associations between active travel and adiposity in rural India and Bangladesh: a cross-sectional study","year":2015,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre for Global Health Research; St. Michael's Hospital","funders":"Public Health Foundation of India; National Institute for Health and Care Research; Wellcome Trust","keywords":"Medicine; Waist; Biostatistics; Demography; Confidence interval; Cross-sectional study; Logistic regression; Odds ratio; Environmental health; Public health; Metabolic equivalent; Circumference; Rural area; Waist–hip ratio; Epidemiology; Body mass index; Physical activity; Physical therapy; Internal medicine","score_opus":0.11009623039263021,"score_gpt":0.39343405707459517,"score_spread":0.28333782668196494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2121974070","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970677,0.00007463685,0.000045503733,0.0009333386,0.00008824073,0.0005192944,0.0001465305,0.00003209273,0.0010926985],"genre_scores_gemma":[0.9995303,0.0000037586926,0.00006115307,0.00007688291,0.0001723403,0.00001445243,0.000049381335,0.000004530975,0.000087199216],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982704,0.00044300337,0.0003149975,0.00023425679,0.000371813,0.00036553494],"domain_scores_gemma":[0.9990395,0.00017987806,0.00012843397,0.00007831261,0.00010487253,0.00046900345],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037649835,0.00007993084,0.00021340483,0.00010518309,0.00049836934,0.00022415302,0.000114090486,0.00010011786,0.000015346483],"category_scores_gemma":[0.00033911373,0.000079077494,0.000020782267,0.0003871166,0.000180702,0.0006681143,0.000025901334,0.00020488922,0.0000017156249],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000057399907,0.0001906937,0.97455716,0.0000044061703,0.000009359416,3.3846146e-7,0.023904415,5.5774464e-8,8.233249e-8,0.00038229453,0.000023345481,0.0009220896],"study_design_scores_gemma":[0.0007611605,0.00008468012,0.9931286,0.000002153854,0.0000031187406,9.409612e-8,0.0051646302,0.000002975038,1.7129476e-7,0.000640441,0.0001359345,0.0000760578],"about_ca_topic_score_codex":0.04128546,"about_ca_topic_score_gemma":0.088831924,"teacher_disagreement_score":0.04754647,"about_ca_system_score_codex":0.0004844414,"about_ca_system_score_gemma":0.001808015,"threshold_uncertainty_score":0.9650987},"labels":[],"label_agreement":null},{"id":"W2122406596","doi":"10.1016/j.trd.2008.02.002","title":"Vehicle-type choice and neighbourhood characteristics: An empirical study of Hamilton, Canada","year":2008,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":41,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Neighbourhood (mathematics); Type (biology); Mathematics; Geography; Econometrics; Sociology; Geology; Mathematical analysis; Paleontology","score_opus":0.08472675477919467,"score_gpt":0.35617310612652237,"score_spread":0.2714463513473277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122406596","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99869055,0.00013272124,0.0000115816265,0.00024590804,0.00006707993,0.0005030445,0.0000759303,0.000023735818,0.00024947536],"genre_scores_gemma":[0.9982651,0.0011200426,0.00002992488,0.00004301271,0.00008763465,0.000034396835,0.00014133383,0.000017205748,0.0002613664],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971084,0.00018698385,0.0005398002,0.0005107959,0.0011851272,0.00046886987],"domain_scores_gemma":[0.99900776,0.000112618705,0.00008334295,0.00025698557,0.00009054571,0.00044875062],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007015885,0.00017605051,0.00033046296,0.000079575286,0.0007864065,0.000013745699,0.00018647782,0.00010260852,0.00045583418],"category_scores_gemma":[0.0000087407,0.00017207145,0.00003131503,0.00024143716,0.00075705134,0.00030328077,0.000002832473,0.00030955672,0.0000015997805],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000110405854,0.000655178,0.9733646,0.0000361963,0.000029532455,0.000060102946,0.024889598,0.000012211388,0.0000554428,0.00002716428,0.000026746613,0.00073280354],"study_design_scores_gemma":[0.0007337266,0.00045617143,0.98021126,0.00001165484,0.000040253926,1.8508473e-7,0.0042277863,0.000012708434,0.000022359278,0.000024096476,0.014084596,0.00017520422],"about_ca_topic_score_codex":0.48558244,"about_ca_topic_score_gemma":0.8308194,"teacher_disagreement_score":0.345237,"about_ca_system_score_codex":0.00006602324,"about_ca_system_score_gemma":0.00034168994,"threshold_uncertainty_score":0.701687},"labels":[],"label_agreement":null},{"id":"W2122491106","doi":"10.3141/2110-12","title":"Access Walking Distance, Transit Use, and Transit-Oriented Development in North York City Center, Toronto, Canada","year":2009,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":65,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Transport Canada; University of Toronto; Queen's University","funders":"","keywords":"Transit-oriented development; Transport engineering; Transit (satellite); Geography; Public transport; Promotion (chess); Mode choice; Travel behavior; TRIPS architecture; Service (business); Business; Engineering; Political science; Marketing","score_opus":0.09583585872774962,"score_gpt":0.38034064510862886,"score_spread":0.2845047863808792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122491106","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940553,0.0004956755,0.001034015,0.002440869,0.00040416568,0.0011410526,0.000090004745,0.00002592913,0.00031301664],"genre_scores_gemma":[0.997671,0.0010923726,0.0006162515,0.00010948371,0.00012629115,0.000029005776,0.00003979201,0.000026523256,0.00028924932],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9908162,0.0012293475,0.0016756682,0.00057990267,0.004412505,0.0012863736],"domain_scores_gemma":[0.99591666,0.0006563337,0.00036653603,0.00035397813,0.002057793,0.00064868823],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.003850064,0.00030714014,0.00057233643,0.00043688275,0.0013348118,0.0003394235,0.0013079682,0.00019324079,0.0002543345],"category_scores_gemma":[0.00013958277,0.0002557259,0.00020812191,0.002460784,0.00064833305,0.0023276974,0.0000044327776,0.001749802,6.647444e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010436737,0.00032639448,0.9707407,0.00009508247,0.00005061885,0.0001453723,0.014867765,0.000113786016,0.00007449049,0.0008176187,0.00059808337,0.011126409],"study_design_scores_gemma":[0.0015228746,0.00012277461,0.9606052,0.0003104552,0.000022948447,1.0781207e-7,0.0033411952,0.000013412561,0.00017076603,0.00033809483,0.033301905,0.000250246],"about_ca_topic_score_codex":0.8041993,"about_ca_topic_score_gemma":0.99942607,"teacher_disagreement_score":0.19522682,"about_ca_system_score_codex":0.0011554395,"about_ca_system_score_gemma":0.0030613258,"threshold_uncertainty_score":0.9999895},"labels":[],"label_agreement":null},{"id":"W2122836930","doi":"","title":"Safe Routes to Play? Pedestrian and Bicyclist Crashes Near Parks in the Los Angeles Region","year":2012,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Pedestrian; Geography; Crash; Population; Poison control; Descriptive statistics; Transport engineering; TRIPS architecture; Mile; Quarter (Canadian coin); Environmental health; Engineering; Statistics; Medicine; Computer science","score_opus":0.04880028293523359,"score_gpt":0.3450874118707853,"score_spread":0.2962871289355517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122836930","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93669146,0.00018847772,5.9769144e-7,0.0015669578,0.00007359938,0.0004131915,0.000010855547,0.000011841773,0.061043013],"genre_scores_gemma":[0.9982501,0.00077618787,0.00008679324,0.00014980345,0.000258536,0.000046444722,0.0000051024067,0.000009890231,0.00041712928],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99819684,0.00037615938,0.000264672,0.00029287382,0.00020038488,0.00066905556],"domain_scores_gemma":[0.99879414,0.0006516983,0.00004284439,0.00028928262,0.000025098656,0.00019694972],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003069343,0.0001016711,0.00017390595,0.00011767584,0.00044723524,0.00022893063,0.00041202098,0.00012058614,0.00004829525],"category_scores_gemma":[0.00045057174,0.00008284415,0.000040954885,0.00026481188,0.0005773179,0.00042999553,0.000055931007,0.00034505845,0.0000039985935],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036455538,0.000077459765,0.95155513,0.0000112375365,0.0000036014392,0.0000055375535,0.0075634015,0.000009970917,0.000008961948,0.00045962742,0.00016267074,0.04010595],"study_design_scores_gemma":[0.00018822333,0.000025419258,0.9208145,0.000024329986,0.0000021635633,6.297695e-7,0.008455113,0.000031415406,0.000014126696,0.0004498501,0.069875725,0.00011847793],"about_ca_topic_score_codex":0.0040311385,"about_ca_topic_score_gemma":0.07848338,"teacher_disagreement_score":0.074452244,"about_ca_system_score_codex":0.00019910884,"about_ca_system_score_gemma":0.00017130711,"threshold_uncertainty_score":0.9383319},"labels":[],"label_agreement":null},{"id":"W2122952746","doi":"10.1080/09593980802511813","title":"Documentation of daily sit-to-stands performed by community-dwelling adults","year":2008,"lang":"en","type":"article","venue":"Physiotherapy Theory and Practice","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hamilton Health Sciences; University of Toronto; McMaster University","funders":"","keywords":"Univariate; Medicine; Multivariate analysis; Demography; Univariate analysis; Multivariate statistics; Gerontology; Internal medicine; Statistics","score_opus":0.022924318907833637,"score_gpt":0.3611977489316691,"score_spread":0.3382734300238355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122952746","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98443776,0.00043272716,0.0013555647,0.00046634607,0.00005870474,0.00019218847,0.00001104723,0.000028094493,0.013017587],"genre_scores_gemma":[0.9970671,0.0010867456,0.0003429566,0.0008096628,0.00006548583,0.000006557937,0.000012041517,0.000008322744,0.00060113345],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9979594,0.0013807795,0.00017010632,0.00012583856,0.00021711028,0.00014678352],"domain_scores_gemma":[0.9975255,0.0020034565,0.00013892534,0.0001584102,0.0000948434,0.00007887678],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023691414,0.00008499952,0.00013281843,0.00002829383,0.0009782045,0.000031641528,0.00015954745,0.000045886787,0.00028346485],"category_scores_gemma":[0.00023439447,0.00007750511,0.000034491088,0.0001947616,0.0002641912,0.0010862511,0.000008732214,0.00017389035,0.000005065584],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.015632838,0.0014391082,0.031219035,0.00017688355,0.00017195467,0.0000036980443,0.85775447,0.000024607076,0.04592223,0.01716821,0.0010401236,0.029446837],"study_design_scores_gemma":[0.009850414,0.00258955,0.1345526,0.00048715106,0.00029627344,0.000009706646,0.40893725,0.00008461718,0.076989464,0.081719644,0.28244275,0.0020405832],"about_ca_topic_score_codex":0.0024653792,"about_ca_topic_score_gemma":0.0001710922,"teacher_disagreement_score":0.44881725,"about_ca_system_score_codex":0.00002110743,"about_ca_system_score_gemma":0.00005017411,"threshold_uncertainty_score":0.75236577},"labels":[],"label_agreement":null},{"id":"W2123240726","doi":"10.7202/014083ar","title":"Le smart growth et le nouvel urbanisme","year":2006,"lang":"fr","type":"article","venue":"Cahiers de géographie du Québec","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.006319723942036655,"score_gpt":0.20836503696995765,"score_spread":0.202045313027921,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2123240726","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75867295,0.008358497,0.0016580352,0.05531421,0.0011691162,0.00032535262,0.00004487318,0.00024013419,0.17421685],"genre_scores_gemma":[0.94547844,0.00024302803,0.00044062574,0.0017207661,0.0006994594,0.00003300537,0.000039792638,0.000053903015,0.051290967],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99689436,0.00038986307,0.0005561143,0.00068378326,0.0004493545,0.0010265495],"domain_scores_gemma":[0.99854904,0.00024834316,0.00022477521,0.00040464802,0.00019149718,0.00038167372],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.001099659,0.00038890025,0.0004459474,0.00024319362,0.001322349,0.00018569046,0.0006942942,0.0006347964,0.0002571806],"category_scores_gemma":[0.000089066074,0.0004525903,0.000597598,0.001866,0.014272719,0.0008060714,0.000032808493,0.0007406139,0.000098066834],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025461472,0.00058816146,0.30052343,0.00006627826,0.00006041488,0.000053860647,0.00328548,0.0000075708986,0.00010716867,0.66785103,0.026360136,0.0010710172],"study_design_scores_gemma":[0.0010700624,0.00006764151,0.42473513,0.000055910517,0.00015738854,0.0000051148254,0.0019584459,0.000017702481,0.00026474625,0.0626709,0.50826156,0.00073541154],"about_ca_topic_score_codex":0.681147,"about_ca_topic_score_gemma":0.7409694,"teacher_disagreement_score":0.60518014,"about_ca_system_score_codex":0.00031588625,"about_ca_system_score_gemma":0.004073351,"threshold_uncertainty_score":0.99997777},"labels":[],"label_agreement":null},{"id":"W2123282010","doi":"10.1186/1479-5868-3-44","title":"Constructing indices representing supportiveness of the physical environment for walking using the Rasch measurement model.","year":2006,"lang":"en","type":"article","venue":"International Journal of Behavioral Nutrition and Physical Activity","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Health and Medical Research Council; Healthway","keywords":"Rasch model; Reliability (semiconductor); Construct validity; Construct (python library); Polytomous Rasch model; Environmental audit; Audit; Applied psychology; Psychology; Validity; Statistics; Psychometrics; Computer science; Mathematics; Item response theory","score_opus":0.08056609657504245,"score_gpt":0.3725290289591884,"score_spread":0.29196293238414595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2123282010","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957243,0.000018204972,0.003334819,0.00052216667,0.00015083289,0.0001829413,0.000027207623,0.000003093893,0.00003640394],"genre_scores_gemma":[0.99917865,0.0000031053044,0.00025493006,0.0000053629524,0.00054381456,0.0000047553444,0.0000012379966,0.000003821507,0.0000043390646],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987186,0.00010874713,0.00020137186,0.00010463764,0.0007606618,0.000105965926],"domain_scores_gemma":[0.9990616,0.00009548756,0.00048574427,0.00005682493,0.0002715453,0.000028833127],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004892186,0.0000698392,0.0001539629,0.000026873016,0.00023793385,0.00005646231,0.00021922064,0.00002760072,0.0000038960193],"category_scores_gemma":[0.000020187308,0.000045364064,0.0002009096,0.000054832457,0.0003187645,0.00035901388,0.00003357208,0.00015067449,3.307005e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005981052,0.008674201,0.60672694,0.00008817403,0.00016040103,0.0000065168165,0.008126358,0.001192823,0.2855751,0.00593305,0.000039832626,0.08287848],"study_design_scores_gemma":[0.0047693434,0.00021215732,0.51120234,0.00076202775,0.000825017,0.000016172073,0.010572549,0.025117358,0.3816114,0.06359019,0.00073631865,0.0005851581],"about_ca_topic_score_codex":0.00060957205,"about_ca_topic_score_gemma":0.00010024412,"teacher_disagreement_score":0.09603629,"about_ca_system_score_codex":0.0001275349,"about_ca_system_score_gemma":0.00006434562,"threshold_uncertainty_score":0.18498929},"labels":[],"label_agreement":null},{"id":"W2123895371","doi":"10.5539/jms.v3n2p56","title":"Managing a Sustainable Transportation System: Exploring a Community’s Attitude, Perception, and Behavior of the Morgantown Public Rapid Transit (PRT)","year":2013,"lang":"en","type":"article","venue":"Journal of Management and Sustainability","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Ordered probit; Public transport; West virginia; Perception; Transport engineering; Transportation planning; Business; Public opinion; Probit model; Sustainable transport; Headway; Probit; Environmental planning; Marketing; Environmental economics; Geography; Engineering; Political science; Psychology; Sustainability; Economics; Politics","score_opus":0.026845972608962623,"score_gpt":0.2608042961059413,"score_spread":0.23395832349697868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2123895371","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946158,0.00025565087,0.0006652301,0.0023830356,0.00008199879,0.0009899841,0.0000013650572,0.000019776759,0.0009871844],"genre_scores_gemma":[0.99917245,0.00024345923,0.00008871066,0.00002201877,0.000037072517,0.00004628801,0.000001160703,0.0000076142123,0.00038123445],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99795264,0.00056148984,0.00058573246,0.0001454516,0.0004381843,0.00031647514],"domain_scores_gemma":[0.998418,0.000076054486,0.0002913707,0.00024387478,0.0008463211,0.00012439517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032644207,0.00012894461,0.00027832075,0.00015890763,0.0010422686,0.0001755928,0.00034958185,0.000059838854,0.00007480156],"category_scores_gemma":[0.00006757788,0.000095963136,0.00012542325,0.00039275663,0.0004634645,0.0015542168,0.000036116806,0.00034874128,1.5082544e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034864286,0.00028799142,0.94347763,0.002617121,0.000059697675,0.00001543507,0.029025551,0.000008218128,0.000008110726,0.007592146,0.0000448432,0.016828416],"study_design_scores_gemma":[0.00034335215,0.000041094954,0.700029,0.00003980492,0.0001586124,7.2160395e-7,0.29603752,0.000009279295,0.000004326598,0.002911647,0.00035422016,0.00007038474],"about_ca_topic_score_codex":0.004927187,"about_ca_topic_score_gemma":0.0009323059,"teacher_disagreement_score":0.26701197,"about_ca_system_score_codex":0.0002849928,"about_ca_system_score_gemma":0.00012375841,"threshold_uncertainty_score":0.80163926},"labels":[],"label_agreement":null},{"id":"W2124004583","doi":"10.1002/atr.127","title":"Applying the Rasch measurement to explore elderly passengers' abilities and difficulties when using buses in Taipei","year":2010,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Respondent; Rasch model; Service (business); Transport engineering; Level of service; Computer science; Applied psychology; Simulation; Engineering; Psychology; Marketing; Business; Developmental psychology","score_opus":0.0531425667487765,"score_gpt":0.31227504528418737,"score_spread":0.2591324785354109,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124004583","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99737996,0.00024808792,0.00075113494,0.00071660144,0.00038308793,0.0004793502,0.0000023429768,0.000011492604,0.000027927883],"genre_scores_gemma":[0.9952981,0.000054904256,0.0043954765,0.00004212268,0.00015687516,0.000034584547,0.0000011462786,0.000007795301,0.000008998311],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99857616,0.000055407385,0.0004678827,0.00013164648,0.00058170286,0.00018721892],"domain_scores_gemma":[0.9991898,0.0000919721,0.00021517294,0.00008736224,0.00032515457,0.00009054987],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009940119,0.00010218867,0.00018981667,0.00009538051,0.00025253167,0.000061024162,0.00015420643,0.0000572652,0.000020830254],"category_scores_gemma":[0.000112094094,0.00007359048,0.00006614545,0.00017421666,0.00014462788,0.0007552587,0.0000014065105,0.0002803961,2.1066691e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002992839,0.00016232594,0.58423215,0.00009182044,0.000036528556,0.000016337834,0.27363676,0.0045337756,0.098138034,0.0004478791,0.000020571571,0.03838452],"study_design_scores_gemma":[0.00053837703,0.0000650188,0.90978193,0.00011089514,0.00004152893,5.775724e-7,0.08286508,0.0000041994117,0.0013238849,0.002583426,0.0025513715,0.0001336775],"about_ca_topic_score_codex":0.00047102562,"about_ca_topic_score_gemma":0.029284563,"teacher_disagreement_score":0.3255498,"about_ca_system_score_codex":0.00006130177,"about_ca_system_score_gemma":0.00012675393,"threshold_uncertainty_score":0.9884285},"labels":[],"label_agreement":null},{"id":"W2124285741","doi":"10.4113/jom.2007.63","title":"Mapping Accessibility Over Time","year":2007,"lang":"en","type":"article","venue":"Journal of Maps","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Minnesota Department of Transportation; U.S. Department of Transportation","keywords":"Geography; Computer science; Cartography","score_opus":0.023761969819828872,"score_gpt":0.3235860246911424,"score_spread":0.29982405487131353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124285741","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9630221,0.00019474857,0.00075756665,0.0004709719,0.00042305334,0.000058373003,0.00000206836,0.000016360407,0.035054754],"genre_scores_gemma":[0.9969321,0.000011075474,0.0005871223,0.0001426858,0.00080066005,1.1221363e-7,6.181657e-7,0.0000045032907,0.0015211287],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99857515,0.00006910021,0.0004943684,0.000100343306,0.00050562853,0.00025542887],"domain_scores_gemma":[0.99904495,0.00013458273,0.0003451285,0.00011539278,0.00018693112,0.00017302018],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004630503,0.00006740463,0.00018136408,0.00009908904,0.0001912064,0.00006116922,0.0003574163,0.00008384965,0.0013299873],"category_scores_gemma":[0.00019204163,0.000054560776,0.00015235598,0.00029079587,0.00014674194,0.00060024817,0.000015407855,0.00022257862,0.000027350135],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007113261,0.00012756405,0.9789212,0.000013015445,0.000023217359,0.000057460824,0.003841843,6.97913e-7,0.0014208814,0.00020531911,0.004690972,0.010626722],"study_design_scores_gemma":[0.00026840105,0.00002048815,0.9333286,0.000026867054,0.0000103397615,0.0000013024448,0.0005957375,0.000001329924,0.00033191292,0.005266785,0.060066666,0.00008154953],"about_ca_topic_score_codex":0.00013909869,"about_ca_topic_score_gemma":0.00027931773,"teacher_disagreement_score":0.05537569,"about_ca_system_score_codex":0.00011664279,"about_ca_system_score_gemma":0.00017380249,"threshold_uncertainty_score":0.99958295},"labels":[],"label_agreement":null},{"id":"W2124309632","doi":"10.1111/j.1541-0064.2013.12044.x","title":"<scp>M</scp>igration, commuting distance, and urban sustainability in Ontario's Greater Golden Horseshoe: Implications of the<i>Greenbelt</i>and<i>Places to Grow</i>legislation","year":2013,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Urban sprawl; Population growth; Legislation; Population; Geography; Sustainability; Context (archaeology); Government (linguistics); Unintended consequences; Legislature; Urban planning; Environmental planning; Ecology; Political science; Demography","score_opus":0.007926837562302445,"score_gpt":0.20885820837934257,"score_spread":0.20093137081704013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124309632","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9893334,0.0005015319,0.000005932021,0.0049983817,0.00015509709,0.0012989003,0.00008224778,0.000037515798,0.0035869852],"genre_scores_gemma":[0.9985616,0.000089233596,0.00005669336,0.0003000429,0.000040294402,0.00018896669,0.000024292425,0.000017046807,0.0007218073],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977011,0.00016170903,0.00050713395,0.00051728147,0.00021988299,0.0008928653],"domain_scores_gemma":[0.9978701,0.0002544899,0.0001706976,0.0005145903,0.00044087562,0.00074927893],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00051181734,0.00026997874,0.0003370445,0.0011994812,0.0011989768,0.00021567357,0.00049546116,0.00016597199,0.00002768045],"category_scores_gemma":[0.00032897267,0.0002452962,0.00012359938,0.0035856417,0.0023639451,0.00066951406,0.000054517026,0.0002556284,5.1121714e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000021984827,0.000012453374,0.96217364,0.00002917975,0.000020933843,0.00000117403,0.027129555,0.000004077582,0.000005135155,0.007334236,0.0025033578,0.0007840354],"study_design_scores_gemma":[0.00014451332,0.000026005944,0.93365794,0.000039476858,0.00002862417,7.847488e-7,0.025346974,0.000002702946,0.0000042281026,0.008941269,0.03166178,0.00014570315],"about_ca_topic_score_codex":0.99231255,"about_ca_topic_score_gemma":0.9999695,"teacher_disagreement_score":0.029158419,"about_ca_system_score_codex":0.00029261093,"about_ca_system_score_gemma":0.00055886095,"threshold_uncertainty_score":0.99999994},"labels":[],"label_agreement":null},{"id":"W2124470577","doi":"10.3390/ijerph8103953","title":"A Multilevel Analysis of Neighbourhood Built and Social Environments and Adult Self-Reported Physical Activity and Body Mass Index in Ottawa, Canada","year":2011,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":103,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada; Ottawa Public Health; Children's Hospital of Eastern Ontario; University of Ottawa","funders":"Canadian Institutes of Health Research; Champlain Local Health Integration Network; University of Ottawa","keywords":"Overweight; Neighbourhood (mathematics); Body mass index; Obesity; Demography; Odds; Socioeconomic status; Multilevel model; Medicine; Odds ratio; Logistic regression; Gerontology; Environmental health; Psychology; Population; Statistics; Mathematics; Sociology","score_opus":0.06379650487659856,"score_gpt":0.3718843211889589,"score_spread":0.3080878163123604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124470577","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99778616,0.00009643892,0.00004372311,0.0016763457,0.000026703936,0.00011021316,0.00007716272,0.0000013068811,0.00018194331],"genre_scores_gemma":[0.9992117,0.00058488915,0.00005346151,0.000060558286,0.000055860834,0.000002305896,0.0000053309845,0.0000043102687,0.00002152808],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978875,0.0002593521,0.00033013136,0.00019732125,0.00102868,0.00029701946],"domain_scores_gemma":[0.9991443,0.00014305813,0.00027396175,0.00005288047,0.00004405415,0.000341712],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013366877,0.00008522933,0.00026079614,0.00028912834,0.00017641456,0.00004652837,0.00016287169,0.000053673877,0.00008443662],"category_scores_gemma":[0.000083500476,0.000077565644,0.000033735545,0.00013346589,0.00052794546,0.00041056436,0.000067631394,0.0003120694,7.023659e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006990291,0.0006392425,0.97772974,0.000009296512,0.00034876753,0.000022471388,0.0043069557,1.4837602e-7,0.0002633514,0.00016692284,0.000009932229,0.01643325],"study_design_scores_gemma":[0.0005984027,0.00009934553,0.99643147,0.0000065137106,0.00001985791,0.0000017852054,0.001887335,0.00025485267,0.00003176123,0.0003335508,0.00027731247,0.000057794383],"about_ca_topic_score_codex":0.2557393,"about_ca_topic_score_gemma":0.23135608,"teacher_disagreement_score":0.024383206,"about_ca_system_score_codex":0.00038328688,"about_ca_system_score_gemma":0.0005252532,"threshold_uncertainty_score":0.78266966},"labels":[],"label_agreement":null},{"id":"W2124541723","doi":"10.3141/2430-16","title":"Modeling Cyclists’ Route Choice Based on GPS Data","year":2014,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":79,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Northwestern University","keywords":"Global Positioning System; Computer science; Transport engineering; Engineering; Telecommunications","score_opus":0.2147847509285849,"score_gpt":0.4553567398449567,"score_spread":0.24057198891637183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124541723","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9671752,0.00009251468,0.017690644,0.0107644815,0.00083054695,0.0010069408,0.00014800299,0.00006432225,0.0022273727],"genre_scores_gemma":[0.99612,0.00020670063,0.0017489854,0.00016780033,0.00093758124,0.000031643744,0.00009106663,0.00005662187,0.00063964905],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98687637,0.0026500598,0.0015552952,0.0007576872,0.006889082,0.0012715107],"domain_scores_gemma":[0.99165654,0.0023934992,0.00040201843,0.0014375848,0.0034332122,0.00067712244],"candidate_categories":["sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.016310878,0.0002889054,0.0005272618,0.00089881546,0.001974801,0.00032792104,0.0039250106,0.0002909694,0.00059499725],"category_scores_gemma":[0.0012318577,0.00022345441,0.00039299284,0.0024894958,0.0011091229,0.0014209492,0.000012090704,0.0029055774,0.000033193017],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016505892,0.0005894664,0.9376038,0.00025936755,0.00010996819,0.00005145223,0.0044377106,0.027714076,0.0003560675,0.007087242,0.00479297,0.015347349],"study_design_scores_gemma":[0.0018611391,0.0003544127,0.893053,0.0004718023,0.00007656865,3.1284113e-8,0.0016527716,0.028163455,0.000105686406,0.005505983,0.06842529,0.00032989084],"about_ca_topic_score_codex":0.072785854,"about_ca_topic_score_gemma":0.37874413,"teacher_disagreement_score":0.30595827,"about_ca_system_score_codex":0.00033678577,"about_ca_system_score_gemma":0.0014528054,"threshold_uncertainty_score":0.9993948},"labels":[],"label_agreement":null},{"id":"W2124859779","doi":"10.1123/jpah.7.4.442","title":"Associations Between Neighborhood Safety, Availability of Recreational Facilities, and Adolescent Physical Activity Among Canadian Youth","year":2010,"lang":"en","type":"article","venue":"Journal of Physical Activity and Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Queen's University","funders":"","keywords":"Recreation; Physical activity; Perception; Psychology; Scale (ratio); Occupational safety and health; Injury prevention; Human factors and ergonomics; Proxy (statistics); Poison control; Environmental health; Suicide prevention; Demography; Medicine; Geography; Physical therapy","score_opus":0.05083888399033994,"score_gpt":0.33436578906051245,"score_spread":0.28352690507017253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124859779","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950068,0.000013706197,0.00007414419,0.0029798576,0.00008577512,0.00019662753,0.0007446756,0.000007650116,0.00089076994],"genre_scores_gemma":[0.99920404,0.000022054846,0.000020511407,0.000024951662,0.00067266275,7.114078e-7,0.000008423835,0.000004940577,0.000041718722],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985249,0.00025636263,0.0002536626,0.00019347914,0.00046194345,0.00030962686],"domain_scores_gemma":[0.99820775,0.00033657154,0.00050240767,0.00010999033,0.0001975707,0.0006457082],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013081738,0.00012327793,0.00055577396,0.000069728434,0.00058021204,0.000044365148,0.000127983,0.000111724046,0.000019564724],"category_scores_gemma":[0.00018340122,0.00010823538,0.00013868792,0.00017238356,0.0005409706,0.00067114166,0.000019789295,0.0008414351,4.3730776e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040965006,0.000822372,0.95745707,0.000055368044,0.00003546077,4.1736484e-7,0.01129174,6.9587037e-7,0.00014048815,0.0015297391,0.000028865388,0.02859684],"study_design_scores_gemma":[0.00027308872,0.0001340677,0.9952746,0.000031866573,0.000037137954,1.0813614e-7,0.0005385359,0.00003416927,0.0001382084,0.0032987117,0.00014684112,0.000092646565],"about_ca_topic_score_codex":0.18116808,"about_ca_topic_score_gemma":0.24814548,"teacher_disagreement_score":0.0669774,"about_ca_system_score_codex":0.00026271134,"about_ca_system_score_gemma":0.0016328942,"threshold_uncertainty_score":0.8242846},"labels":[],"label_agreement":null},{"id":"W2125315856","doi":"10.7202/022975ar","title":"L’évolution de la mobilité des femmes à Québec entre 1977 et 1996","year":2005,"lang":"fr","type":"article","venue":"Cahiers de géographie du Québec","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université Laval; Université du Québec","funders":"Ministère des Transports","keywords":"Political science; Humanities; Art","score_opus":0.011305739261475977,"score_gpt":0.2564220165713738,"score_spread":0.24511627730989782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2125315856","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.924386,0.029953862,0.0004886272,0.020113137,0.00042831007,0.0003397796,0.00003754081,0.0002564458,0.02399625],"genre_scores_gemma":[0.9745213,0.002209842,0.0009616793,0.0014422754,0.0010245895,0.000056502715,0.000018238521,0.00004928498,0.019716306],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9960257,0.001068834,0.00057363947,0.0006932146,0.00042809726,0.0012105267],"domain_scores_gemma":[0.99767625,0.00084699,0.00022285091,0.0004553835,0.00014259528,0.0006559241],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0022632417,0.00044775556,0.00043883157,0.00025989438,0.0011567954,0.00018693083,0.0006584473,0.0008269171,0.000929556],"category_scores_gemma":[0.0004822184,0.0004796928,0.0006434707,0.0015459922,0.03237414,0.00090750435,0.000034217013,0.0009434669,0.00010975253],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000061258674,0.00057666015,0.85858136,0.000111356225,0.0000944907,0.000030838277,0.028731624,0.000116756644,0.00012825638,0.018879518,0.0066358033,0.08605207],"study_design_scores_gemma":[0.0005463617,0.00006382183,0.5774507,0.00009613162,0.00023255483,0.000010509948,0.002699278,0.000093924165,0.00013761247,0.0078100385,0.41035572,0.00050334557],"about_ca_topic_score_codex":0.82116574,"about_ca_topic_score_gemma":0.9759235,"teacher_disagreement_score":0.40371993,"about_ca_system_score_codex":0.0027891838,"about_ca_system_score_gemma":0.004457446,"threshold_uncertainty_score":0.9999837},"labels":[],"label_agreement":null},{"id":"W2125409231","doi":"10.1504/ijgenvi.2006.010889","title":"Issues in sustainable transportation","year":2006,"lang":"en","type":"article","venue":"International Journal of Global Environmental Issues","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":662,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Transport Canada","funders":"National Academy of Sciences","keywords":"Business; Environmental planning; Sustainable development; Sustainability; Natural resource economics; Environmental science; Environmental economics; Economics; Political science","score_opus":0.0056289453571412755,"score_gpt":0.2945610431401473,"score_spread":0.28893209778300605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2125409231","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98916394,0.002080064,0.000052887943,0.0025756408,0.00031263105,0.000071719835,0.000024811226,0.000009022552,0.0057092654],"genre_scores_gemma":[0.99663943,0.00030693607,0.00028724808,0.000048427904,0.0004889258,0.0000011020522,0.000018408453,0.0000039049264,0.0022056398],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985674,0.000047148656,0.00041050703,0.000106765154,0.0006848989,0.0001832626],"domain_scores_gemma":[0.9996603,0.000014660937,0.0001829979,0.000046148827,0.000046884885,0.00004896769],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032373914,0.00008091094,0.00014153053,0.00005413963,0.000059541428,0.00006716983,0.00034903994,0.000057401703,0.0004925375],"category_scores_gemma":[0.000014411462,0.00007892843,0.000093933544,0.00009332445,0.00016898384,0.0007430244,0.000007426338,0.000083874584,0.000012000154],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000071447335,0.00027715854,0.9845303,0.0000027734775,0.000016906419,0.00027010427,0.0008873211,0.00014176557,0.00014707181,0.012138207,0.0005819756,0.0009349587],"study_design_scores_gemma":[0.00041103337,0.000028605216,0.90169936,0.000023070235,0.000009011974,0.0000016211479,0.0038298815,0.0000025922145,0.00027961924,0.013801728,0.0798311,0.00008235609],"about_ca_topic_score_codex":0.01547021,"about_ca_topic_score_gemma":0.0052278945,"teacher_disagreement_score":0.08283093,"about_ca_system_score_codex":0.0005848311,"about_ca_system_score_gemma":0.00004597096,"threshold_uncertainty_score":0.9910859},"labels":[],"label_agreement":null},{"id":"W2125625325","doi":"10.1177/0013916505280767","title":"Effects of Automobile Commute Characteristics on Affect and Job Candidate Evaluations","year":2006,"lang":"en","type":"article","venue":"Environment and Behavior","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Marriott International (Canada)","funders":"","keywords":"Affect (linguistics); Psychology; Anxiety; Social psychology; Multivariate analysis of variance; Demographic economics; Economics; Statistics; Mathematics","score_opus":0.010222536911459112,"score_gpt":0.2821967100692949,"score_spread":0.2719741731578358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2125625325","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990055,0.00013537025,0.000014033973,0.000054431144,0.00005447307,0.00035947913,0.000022324522,0.000014047236,0.0003403235],"genre_scores_gemma":[0.99916947,0.00009045498,0.00004742762,0.000011299039,0.00004696513,0.00004440428,0.000019632926,0.000004500661,0.00056586176],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994045,0.00006264646,0.00011533852,0.0001307371,0.00017290867,0.0001138665],"domain_scores_gemma":[0.9997446,0.000069807946,0.000053344113,0.00008438713,0.0000036252877,0.00004424886],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019168074,0.000070966744,0.00011263209,0.000021876009,0.00020775304,0.000019683881,0.000049299037,0.00004578607,0.00011205917],"category_scores_gemma":[0.000005147912,0.00006294711,0.000023323988,0.000027634638,0.00025207482,0.000064852036,0.000013681713,0.00005466048,0.0000043276677],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005610548,0.00022095593,0.9896408,0.00001658215,0.0000024918297,0.0000031301513,0.00042967318,2.8494364e-7,0.0034287195,0.00011446734,0.000031521933,0.006105786],"study_design_scores_gemma":[0.00024533554,0.00006595428,0.9967024,0.000012311155,0.00012364268,6.445239e-8,0.000027579536,0.0000037900656,0.0019438289,0.000058907583,0.00074388774,0.00007234669],"about_ca_topic_score_codex":0.00079961674,"about_ca_topic_score_gemma":0.00025208283,"teacher_disagreement_score":0.007061575,"about_ca_system_score_codex":0.000024839439,"about_ca_system_score_gemma":0.0000098744285,"threshold_uncertainty_score":0.25669086},"labels":[],"label_agreement":null},{"id":"W2125728663","doi":"10.1093/eurpub/cku206","title":"Effect of neighbourhood motorization rates on walking levels","year":2014,"lang":"en","type":"article","venue":"European Journal of Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Waterloo; World Health Organization","keywords":"Neighbourhood (mathematics); Pedestrian; Geography; Physical medicine and rehabilitation; Demographic economics; Demography; Environmental health; Medicine; Economics; Mathematics; Sociology","score_opus":0.053305246524117694,"score_gpt":0.3504849262864354,"score_spread":0.29717967976231774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2125728663","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9541388,0.000116374234,0.019943394,0.0034060208,0.00059301546,0.00012643804,0.0000027348171,0.000020047351,0.021653155],"genre_scores_gemma":[0.99881417,0.000027697728,0.00014776792,0.0002107547,0.00072191044,1.6299975e-7,0.0000013710048,0.000012351768,0.00006382846],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99052435,0.00799174,0.0006053,0.00011059029,0.00047793472,0.0002900876],"domain_scores_gemma":[0.9983101,0.00032402537,0.0007452334,0.00011916194,0.00019591238,0.0003055508],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.033654958,0.000083948995,0.00026167836,0.00013015197,0.00025618917,0.00007085102,0.00032175938,0.000019769179,0.00012905542],"category_scores_gemma":[0.0013089842,0.000062804495,0.00009532552,0.00028004145,0.00009190544,0.00035609692,0.000009982472,0.00020267727,0.00000870958],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019628893,0.00011147246,0.17056891,0.000080935206,0.000020418565,0.000005427444,0.0067698066,0.000011270623,0.00010986176,0.0026469494,0.00022566538,0.81942964],"study_design_scores_gemma":[0.00097425806,0.0023752325,0.97389555,0.00015804986,0.000009895624,7.777561e-7,0.00029707642,0.000028264572,0.00034106354,0.00016444655,0.021645304,0.00011007604],"about_ca_topic_score_codex":0.000060693885,"about_ca_topic_score_gemma":0.00002132384,"teacher_disagreement_score":0.8193196,"about_ca_system_score_codex":0.00008451382,"about_ca_system_score_gemma":0.00031198587,"threshold_uncertainty_score":0.99505556},"labels":[],"label_agreement":null},{"id":"W2126590875","doi":"10.1007/s11116-012-9437-2","title":"Rescuing the captive [mode] user: an alternative approach to transport market segmentation","year":2012,"lang":"en","type":"article","venue":"Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":100,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Ministère des Transports; McGill University","keywords":"Market segmentation; Context (archaeology); Segmentation; Ambiguity; Cluster analysis; Scale (ratio); Mode choice; Marketing; Computer science; Business; Economics; Operations research; Public economics; Transport engineering; Engineering; Public transport; Artificial intelligence; Geography","score_opus":0.038975835530098216,"score_gpt":0.3294979756826611,"score_spread":0.2905221401525629,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2126590875","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95365024,0.000043539127,0.021612486,0.00023428346,0.00028664342,0.0009164003,0.000081007034,0.00011471189,0.023060689],"genre_scores_gemma":[0.996187,0.00001567356,0.0021115234,0.00020700363,0.00038543018,0.00012078303,0.00031072373,0.000020562778,0.0006413286],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981371,0.00018939826,0.00033595317,0.00031320943,0.0005795904,0.00044472716],"domain_scores_gemma":[0.999262,0.000053984284,0.000107154185,0.0002100904,0.000116425865,0.00025036925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011178913,0.00016471371,0.00016008368,0.00006963061,0.000560613,0.000040718165,0.00030282885,0.000089911424,0.00023414832],"category_scores_gemma":[0.000008379743,0.00013277102,0.0000907061,0.0004148651,0.00015200707,0.001554718,0.0000011342885,0.00015955025,0.000010951748],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017494349,0.0003591975,0.6760441,0.000025118114,0.000039698385,0.0000013545825,0.3056759,0.00068764994,0.00037343957,0.013687616,0.00016869378,0.002762278],"study_design_scores_gemma":[0.00028336296,0.00003042648,0.9758637,0.000012328947,0.00009012147,8.975019e-8,0.018841194,0.00009664738,0.00075506297,0.00054357335,0.0032590965,0.0002244276],"about_ca_topic_score_codex":0.0072897724,"about_ca_topic_score_gemma":0.012149288,"teacher_disagreement_score":0.29981956,"about_ca_system_score_codex":0.0001032952,"about_ca_system_score_gemma":0.00007258803,"threshold_uncertainty_score":0.99932075},"labels":[],"label_agreement":null},{"id":"W2126635627","doi":"10.1111/area.12182","title":"A <scp>GIS</scp>‐based land‐use diversity index model to measure the degree of suburban sprawl","year":2015,"lang":"en","type":"article","venue":"Area","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; Lakehead University","funders":"Luonnontieteiden ja Tekniikan Tutkimuksen Toimikunta; Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Urban sprawl; Neighbourhood (mathematics); Index (typography); Land use; Diversity index; Diversity (politics); Geography; Sustainability; Computer science; Economic geography; Transport engineering; Regional science; Mathematics; Civil engineering; Sociology; Ecology; Engineering","score_opus":0.19153730537477234,"score_gpt":0.290183488232967,"score_spread":0.09864618285819468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2126635627","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9833793,0.000041762378,0.0024638278,0.0006015829,0.00008733016,0.00025211877,0.000037593836,0.00005131267,0.013085182],"genre_scores_gemma":[0.9982836,0.0000013461449,0.00013389399,0.00030875564,0.000046040146,0.000005039583,0.000005217586,0.0000055534374,0.0012105101],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987047,0.000095125244,0.00013949073,0.00020756676,0.00060488476,0.00024826065],"domain_scores_gemma":[0.99897635,0.0001557817,0.00007154765,0.00032205196,0.00025422056,0.00022005035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00092572835,0.000093769726,0.00015170482,0.00004078959,0.00035998298,0.000046982448,0.00053021894,0.00008879688,0.000022258846],"category_scores_gemma":[0.0005257818,0.000067576184,0.00008495585,0.00032883137,0.00019893354,0.000264599,0.00008505999,0.00011423029,0.00001759802],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018978015,0.00006210129,0.9821093,0.000003863178,0.000010784554,0.0000022785314,0.010469958,0.00048120235,0.000010572203,0.00015252637,0.0064659077,0.0002125422],"study_design_scores_gemma":[0.00064594817,0.000033234428,0.9869027,0.000022621653,0.000062687686,5.912548e-8,0.0025001701,0.0020857991,0.00021029275,0.0025671448,0.0048757973,0.00009351592],"about_ca_topic_score_codex":0.02031655,"about_ca_topic_score_gemma":0.043689318,"teacher_disagreement_score":0.023372766,"about_ca_system_score_codex":0.00006498591,"about_ca_system_score_gemma":0.00029304455,"threshold_uncertainty_score":0.98620725},"labels":[],"label_agreement":null},{"id":"W2126905598","doi":"10.1111/j.1475-5661.2011.00491.x","title":"Fear of a foreign railroad: transnationalism, trainspace, and (im)mobility in the Chicago suburbs","year":2011,"lang":"en","type":"article","venue":"Transactions of the Institute of British Geographers","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transnationalism; Train; Work (physics); Purchasing; Pedestrian; Distribution (mathematics); Mobilities; Sociology; Economic geography; Business; Political science; Transport engineering; Politics; Geography; Marketing; Engineering; Law","score_opus":0.024232317177120058,"score_gpt":0.2512158866445873,"score_spread":0.22698356946746728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2126905598","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98743254,0.00033586205,0.0015368283,0.00028955805,0.00013533175,0.0005453046,0.00017889879,0.000015530213,0.009530167],"genre_scores_gemma":[0.9991861,0.00016030841,0.00054805377,0.000026977043,0.0000093877925,0.000020946745,0.0000028971622,0.0000054522734,0.000039870985],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99864817,0.00012716782,0.00043117363,0.0001998928,0.00041103928,0.00018256546],"domain_scores_gemma":[0.9993747,0.00006252163,0.00014851049,0.00026871223,0.00009904954,0.000046506248],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0009809859,0.00009369772,0.00024251903,0.000088502726,0.00022714243,0.000012589193,0.00055216544,0.000106028696,0.00015578368],"category_scores_gemma":[0.000019134623,0.0000831382,0.00028161303,0.00077860104,0.003099687,0.000422796,0.0000034474376,0.0001841516,9.7915986e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004198031,0.0041883364,0.8075834,0.0006887203,0.00043784198,0.000012935077,0.10133598,0.0005232616,0.0006195332,0.03270459,0.0001379934,0.05134761],"study_design_scores_gemma":[0.00069403136,0.00004776964,0.98159677,0.00008785149,0.0001016663,0.0000026441346,0.0064202547,0.00000983193,0.00030225172,0.0101453895,0.0004736672,0.00011787893],"about_ca_topic_score_codex":0.056268442,"about_ca_topic_score_gemma":0.13397193,"teacher_disagreement_score":0.17401338,"about_ca_system_score_codex":0.00001178065,"about_ca_system_score_gemma":0.00013403464,"threshold_uncertainty_score":0.9996133},"labels":[],"label_agreement":null},{"id":"W2127495869","doi":"10.1016/j.healthplace.2012.09.013","title":"A model-based approach to select case sites for walkability audits","year":2012,"lang":"en","type":"article","venue":"Health & Place","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":52,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Walkability; Audit; Computer science; Pedestrian; Sample (material); Transport engineering; Scale (ratio); Built environment; Geography; Business; Engineering; Accounting","score_opus":0.0947124207270665,"score_gpt":0.3844725212799366,"score_spread":0.2897601005528701,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127495869","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91160494,0.00040925655,0.07844018,0.0039993934,0.00017672066,0.0019707144,0.00009604126,0.00017463772,0.0031281179],"genre_scores_gemma":[0.9788265,0.0000021169956,0.018245231,0.0018745072,0.00029903345,0.0001762151,0.00002855867,0.000012743386,0.00053505774],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99814177,0.0001799707,0.00027340162,0.00032995874,0.00024078794,0.0008340966],"domain_scores_gemma":[0.9986322,0.00027082424,0.00008750089,0.00024439264,0.000104636965,0.0006604309],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028487903,0.00012573565,0.00023266693,0.0000431075,0.0008468595,0.0000331494,0.00016193796,0.00009630263,0.000032837666],"category_scores_gemma":[0.0002553975,0.00011807384,0.00008048556,0.00033870738,0.00008472182,0.00024614026,0.000010186492,0.00012410233,0.00001381874],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008100376,0.0037968587,0.7780723,0.0024201176,0.000035224806,0.000008561574,0.11122937,0.0059455843,0.00007618824,0.007935336,0.074859865,0.014810546],"study_design_scores_gemma":[0.0072858883,0.0014127448,0.14320923,0.00021768735,0.00025599456,0.00003282788,0.015689684,0.34448826,0.0008971037,0.0059011243,0.4763692,0.0042402605],"about_ca_topic_score_codex":0.0034900832,"about_ca_topic_score_gemma":0.009094326,"teacher_disagreement_score":0.6348631,"about_ca_system_score_codex":0.00035309108,"about_ca_system_score_gemma":0.00096436864,"threshold_uncertainty_score":0.6513444},"labels":[],"label_agreement":null},{"id":"W2127695721","doi":"10.1016/j.jneb.2007.12.002","title":"Changes in Physical Activity from Walking to School","year":2008,"lang":"en","type":"article","venue":"Journal of Nutrition Education and Behavior","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":66,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Heart, Lung, and Blood Institute","keywords":"Pedestrian; Scopus; Physical activity; Observational study; Center (category theory); Disease control; Library science; Psychology; Gerontology; Medical education; Medicine; Computer science; MEDLINE; Engineering; Transport engineering; Physical therapy; Political science; Environmental health","score_opus":0.040991509277712425,"score_gpt":0.36122224746717235,"score_spread":0.3202307381894599,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127695721","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966964,0.000075903146,0.000010179444,0.0026500374,0.00033326892,0.00013077921,0.0000036692727,0.0000048266684,0.0000949293],"genre_scores_gemma":[0.99830544,0.0000998304,0.00040092165,0.000094111725,0.0009849689,0.000021862328,0.0000016304641,0.000002320519,0.00008888527],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995296,0.000052053605,0.000097927,0.00007313874,0.00017069094,0.00007657793],"domain_scores_gemma":[0.99960744,0.000029627225,0.00008537624,0.000037847556,0.00010278978,0.00013694259],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001317116,0.000040726198,0.00010266767,0.00010575305,0.00011872136,0.000024378493,0.00006149455,0.00003476657,0.00011575208],"category_scores_gemma":[0.0000404052,0.00003795591,0.000031053078,0.00016168582,0.00004367658,0.0003039568,0.0000034659236,0.000113617636,0.0000025966315],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026100404,0.009858142,0.9168024,0.0000075956227,0.0000020602597,0.0000069735393,0.008994694,5.920778e-8,0.006817713,0.000016748863,0.00073869806,0.05672879],"study_design_scores_gemma":[0.0002117066,0.000034132812,0.9928436,0.00004688692,0.000015606425,0.0000016480757,0.002676039,2.5921963e-7,0.0010661297,0.00018042681,0.0028776173,0.00004592588],"about_ca_topic_score_codex":0.0005605716,"about_ca_topic_score_gemma":0.0011462863,"teacher_disagreement_score":0.0760412,"about_ca_system_score_codex":0.000080564794,"about_ca_system_score_gemma":0.00017083391,"threshold_uncertainty_score":0.1547797},"labels":[],"label_agreement":null},{"id":"W2127997559","doi":"10.1186/1471-2458-10-677","title":"Inequitable walking conditions among older people: examining the interrelationship of neighbourhood socio-economic status and urban form using a comparative case study","year":2010,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":62,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Wilfrid Laurier University; Institute of Population and Public Health; University of Ottawa","funders":"Canadian Health Services Research Foundation; Canadian Institutes of Health Research; Government of Ontario; University of Ottawa","keywords":"Neighbourhood (mathematics); Walkability; Socioeconomic status; Geography; Socioeconomics; Sociology; Psychology; Demography; Medicine; Population; Physical activity","score_opus":0.12635840458056918,"score_gpt":0.39452219627951374,"score_spread":0.26816379169894455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127997559","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99698395,0.000055582143,0.00049960153,0.00026445164,0.00024139752,0.00088334613,0.000036252,0.00003971402,0.0009957068],"genre_scores_gemma":[0.9995483,0.0000022009492,0.00019724807,0.000036571502,0.00012562994,0.000032218668,0.000013780425,0.000009012436,0.00003500173],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981416,0.00039878965,0.000506636,0.00026153246,0.00017575038,0.0005156931],"domain_scores_gemma":[0.9984209,0.0006149647,0.0003709813,0.00022786137,0.00009202455,0.00027324754],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0028094035,0.0001187435,0.00029144963,0.000113328075,0.0017691518,0.0002150902,0.00017197889,0.0000714099,0.00026875772],"category_scores_gemma":[0.00012692538,0.00009717942,0.000041171144,0.0002921618,0.0004178432,0.0009932155,0.00005056579,0.00035816088,0.0000011472242],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000014347689,0.000097846,0.79338586,0.000015831418,0.000013858536,9.854704e-7,0.20431082,0.0000031058435,0.0000016185671,0.001980383,0.000021163498,0.00016709056],"study_design_scores_gemma":[0.0003161027,0.000044427936,0.7454418,0.000008662401,0.000012934049,0.0000029264058,0.25319386,0.0006565591,3.5632723e-7,0.00021366663,0.000033624714,0.00007510958],"about_ca_topic_score_codex":0.07049808,"about_ca_topic_score_gemma":0.4671524,"teacher_disagreement_score":0.3966543,"about_ca_system_score_codex":0.0002146932,"about_ca_system_score_gemma":0.0018133137,"threshold_uncertainty_score":0.99953043},"labels":[],"label_agreement":null},{"id":"W2128169466","doi":"","title":"Transportation and Aging: Exploring Stakeholders’ Perspectives on Advancing Safe Mobility","year":2011,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Stakeholder; Work (physics); Baby boomers; Business; Service (business); Public relations; Marketing; Engineering; Political science","score_opus":0.5310947831994179,"score_gpt":0.5317444703216263,"score_spread":0.0006496871222083644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128169466","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9820423,0.0049754707,0.0003036755,0.000109248365,0.00035109988,0.00051353127,0.00002850539,0.00006356061,0.01161257],"genre_scores_gemma":[0.993399,0.005880425,0.0003180731,0.00005956401,0.00013813726,0.000042105967,0.0000048815214,0.000027124282,0.00013068675],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99725705,0.00026538305,0.0006814728,0.0006214962,0.0007085827,0.00046603108],"domain_scores_gemma":[0.9982955,0.00023366265,0.00049949123,0.0003440919,0.00028374203,0.00034354563],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0022702839,0.00026285957,0.0005294454,0.00037948004,0.00071252504,0.0005011681,0.0012578099,0.00009321014,0.005911249],"category_scores_gemma":[0.00021709115,0.0002518267,0.00015936536,0.00071700435,0.0004575501,0.005492054,0.000058815003,0.0003775298,0.0000032965588],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017644536,0.00036201798,0.9391392,0.000059162456,0.00005730458,0.000017160564,0.047513228,0.000012020712,0.002323378,0.0006963624,0.00020502845,0.00943873],"study_design_scores_gemma":[0.0003039954,0.000012960132,0.9653609,0.0001978298,0.000054735854,1.9084506e-7,0.02111252,0.000002951357,0.00489308,0.006627821,0.0011339867,0.00029902908],"about_ca_topic_score_codex":0.012168603,"about_ca_topic_score_gemma":0.0042415247,"teacher_disagreement_score":0.026400708,"about_ca_system_score_codex":0.00015845703,"about_ca_system_score_gemma":0.0001708048,"threshold_uncertainty_score":0.9999934},"labels":[],"label_agreement":null},{"id":"W2128525207","doi":"10.1123/jpah.9.2.153","title":"Walking for Transport Versus Recreation: A Comparison of Participants, Timing, and Locations","year":2012,"lang":"en","type":"article","venue":"Journal of Physical Activity and Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":68,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Recreation; McNemar's test; Psychology; Physical medicine and rehabilitation; Demography; Physical therapy; Medicine; Statistics; Mathematics","score_opus":0.25166887886372113,"score_gpt":0.48088417720504734,"score_spread":0.2292152983413262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128525207","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99589914,0.00028292421,0.001913862,0.0015676379,0.000085246764,0.00011006288,0.000004867107,0.0000032610296,0.00013297891],"genre_scores_gemma":[0.9992246,0.00005650766,0.0003537188,0.000012824527,0.0003383953,0.0000017881028,7.553788e-7,0.0000022594004,0.000009168558],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994015,0.000051631087,0.00017518667,0.000053356805,0.0001452615,0.00017307326],"domain_scores_gemma":[0.9992345,0.00021313943,0.00027331978,0.000033699278,0.00006108724,0.00018427774],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007492118,0.00004337266,0.00024727016,0.000023106977,0.0002444338,0.000007827239,0.00003759667,0.000026485128,0.0000047211315],"category_scores_gemma":[0.00003181806,0.000036241287,0.00005187769,0.00006583518,0.000121682766,0.00040893877,0.0000025160896,0.00009889624,7.387786e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045791775,0.001771372,0.8031975,0.00024457698,0.000050538143,1.210447e-7,0.060426425,0.0000060120537,0.00029126403,0.008173643,0.000084905434,0.12529574],"study_design_scores_gemma":[0.00059763424,0.00038221237,0.9943052,0.000054119202,0.00006893828,1.0003004e-7,0.0018105973,0.00015836053,0.00059829594,0.0006120527,0.0013591143,0.000053362623],"about_ca_topic_score_codex":0.00060420146,"about_ca_topic_score_gemma":0.0010110888,"teacher_disagreement_score":0.19110774,"about_ca_system_score_codex":0.000034479723,"about_ca_system_score_gemma":0.00015586863,"threshold_uncertainty_score":0.18800117},"labels":[],"label_agreement":null},{"id":"W2128798038","doi":"","title":"Ontario, Canada - World Leader in Accessibility?","year":2010,"lang":"en","type":"article","venue":"TRANSED 2010: 12th International Conference on Mobility and Transport for Elderly and Disabled PersonsHong Kong Society for RehabilitationS K Yee Medical FoundationTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Legislation; Business; Enforcement; Web accessibility; Public relations; Public administration; Political science; Computer science; The Internet; Law; Web standards","score_opus":0.07504543564683137,"score_gpt":0.3927243335979703,"score_spread":0.31767889795113896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128798038","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9648342,0.00003791283,0.0034580044,0.024849452,0.0007986945,0.0027840887,0.00046949057,0.000060465634,0.002707668],"genre_scores_gemma":[0.9924285,0.00007874652,0.0024190138,0.0002343986,0.00014782723,0.0011496192,0.0008009108,0.000024628514,0.0027163588],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9954209,0.00013891254,0.0009595395,0.0010633768,0.00164613,0.00077116076],"domain_scores_gemma":[0.99538755,0.0024736892,0.000120905555,0.00032264387,0.0011136198,0.0005815924],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0038703296,0.00031991376,0.00045839776,0.00022303718,0.0014191875,0.00020870742,0.00052781374,0.00039083234,0.003964527],"category_scores_gemma":[0.00065932417,0.00032296177,0.00034879867,0.0005223964,0.0022370722,0.0008761813,0.000006088922,0.0012571353,0.0000013713135],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011704632,0.0010593865,0.8142854,0.0005812371,0.00017153341,0.0000040147397,0.029285567,0.000024547287,0.00027209503,0.14250986,0.00053435715,0.010101533],"study_design_scores_gemma":[0.0040042624,0.0002783003,0.9202049,0.00018961445,0.00008178619,2.6488772e-7,0.01219596,0.0009685935,0.000034962835,0.042775985,0.018753428,0.0005119345],"about_ca_topic_score_codex":0.5751171,"about_ca_topic_score_gemma":0.9974361,"teacher_disagreement_score":0.422319,"about_ca_system_score_codex":0.00037821382,"about_ca_system_score_gemma":0.0044058086,"threshold_uncertainty_score":0.9999222},"labels":[],"label_agreement":null},{"id":"W2128899866","doi":"10.1123/jpah.5.6.930","title":"Systematic Review of Active Commuting to School and Children’s Physical Activity and Weight","year":2008,"lang":"en","type":"review","venue":"Journal of Physical Activity and Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":223,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"","keywords":"Overweight; Association (psychology); Psychological intervention; Physical activity; Body mass index; Obesity; Active living; Cross-sectional study; Medicine; Gerontology; Demography; Causation; Environmental health; Psychology; Physical therapy; Psychiatry; Endocrinology","score_opus":0.055462366955806745,"score_gpt":0.4109564840217645,"score_spread":0.35549411706595774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128899866","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11758529,0.8797758,0.000017593768,0.0008816786,0.000049279388,0.0015379613,0.00005680713,0.000009824776,0.00008574659],"genre_scores_gemma":[0.120345816,0.8789562,0.000025563291,0.00008109478,0.00055127265,0.0000116844785,0.0000015602527,0.000015198277,0.000011602429],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.99692595,0.0011360392,0.00062799366,0.00033617383,0.0006243121,0.00034952752],"domain_scores_gemma":[0.9960573,0.00079267874,0.0021260853,0.00021699,0.00014898881,0.0006579703],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012332421,0.00035389847,0.0044572433,0.00011757238,0.0005108913,0.000047926867,0.00026055585,0.00013188414,0.0000039904053],"category_scores_gemma":[0.00031628174,0.00024522978,0.00050703145,0.00035953717,0.00035900262,0.0005896432,0.000088292945,0.0011141788,0.0000011549124],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027696971,0.0010093923,0.00023586792,0.5888384,0.00026658943,0.0000040154423,0.0020226757,2.5800977e-8,0.0000018457381,0.00014128926,0.000084747175,0.40736744],"study_design_scores_gemma":[0.0005530772,0.00097541854,0.03747336,0.9514632,0.0022606154,0.000069745845,0.00017538178,0.000008473656,0.000014473791,0.00032622812,0.005952829,0.00072718115],"about_ca_topic_score_codex":0.001019789,"about_ca_topic_score_gemma":0.00014210801,"teacher_disagreement_score":0.40664026,"about_ca_system_score_codex":0.0002413077,"about_ca_system_score_gemma":0.0010701102,"threshold_uncertainty_score":1},"labels":[],"label_agreement":null},{"id":"W2129025153","doi":"10.3141/2193-10","title":"Modeling Private Car Ownership in China","year":2010,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":115,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Center for the Environment, Harvard University; V. Kann Rasmussen Foundation; Brown University","keywords":"Megacity; Car ownership; Urbanization; Beijing; China; Business; Population; Socioeconomic status; Geography; Economic growth; Demographic economics; Socioeconomics; Public transport; Economics; Transport engineering; Economy; Environmental health","score_opus":0.10712496332282097,"score_gpt":0.41638391714699885,"score_spread":0.3092589538241779,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2129025153","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99117815,0.00008137598,0.0005553164,0.005418864,0.000926806,0.0009779913,0.000025525174,0.00003433462,0.00080161804],"genre_scores_gemma":[0.99720955,0.00038492304,0.001268377,0.000029698818,0.00042988546,0.000045231824,0.000010306218,0.000043022286,0.0005790092],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99043125,0.0016079681,0.0015566145,0.00048616726,0.0046082265,0.0013097615],"domain_scores_gemma":[0.995715,0.0006089355,0.00030338173,0.0005465651,0.0022649474,0.00056114234],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0128173595,0.00023724827,0.0004655655,0.0011541976,0.0011803576,0.00021782522,0.0019320293,0.0003560747,0.00067478325],"category_scores_gemma":[0.0004947564,0.00018048003,0.0004152446,0.003217746,0.0012936711,0.001251256,0.0000063157804,0.00518048,0.000016963935],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00065535825,0.00028979825,0.96493804,0.00010481944,0.000039092225,0.00010111303,0.015243439,0.0016455705,0.0039782985,0.009986038,0.00026756787,0.0027508466],"study_design_scores_gemma":[0.0011015581,0.00012847513,0.9733298,0.00018863287,0.000023417128,7.265482e-8,0.0035781153,0.00054788985,0.00043361043,0.01431717,0.006140264,0.00021100526],"about_ca_topic_score_codex":0.09906397,"about_ca_topic_score_gemma":0.700887,"teacher_disagreement_score":0.60182303,"about_ca_system_score_codex":0.00025291496,"about_ca_system_score_gemma":0.0013841084,"threshold_uncertainty_score":0.9971146},"labels":[],"label_agreement":null},{"id":"W2129165611","doi":"10.1177/0042098011411948","title":"Network Accessibility and Employment Centres","year":2011,"lang":"en","type":"article","venue":"Urban Studies","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":111,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Metropolitan area; Polycentricity; Documentation; Economic geography; Urban spatial structure; Business; Transport engineering; Regional science; Spatial mismatch; Urban structure; Geography; Economic growth; Urban planning; Economics; Civil engineering; Engineering; Finance; Computer science","score_opus":0.10207024134634816,"score_gpt":0.33704077757321554,"score_spread":0.23497053622686737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2129165611","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9398766,0.014832239,0.000019193829,0.0002847034,0.00045501217,0.00024849208,0.0000040397954,0.00013871533,0.04414098],"genre_scores_gemma":[0.9969302,0.00044016368,0.00032738675,0.00016789904,0.0003321733,0.00001596533,9.2134843e-7,0.000005898229,0.0017794129],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988057,0.000094398725,0.00023326039,0.000306487,0.00019792607,0.0003622133],"domain_scores_gemma":[0.9994806,0.00008095139,0.00007565171,0.0001771356,0.00008645477,0.0000992213],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005687251,0.0001171873,0.00021553956,0.000018552806,0.0006768523,0.000033693424,0.00017520553,0.000047935813,0.00020095479],"category_scores_gemma":[0.00008602993,0.00009372494,0.000044316566,0.00016380093,0.0007191138,0.00024203131,0.0000812122,0.0000750612,0.000009899694],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022042439,0.00004891237,0.95184875,0.000012767724,0.00004496479,0.0000031351021,0.03630368,5.6384625e-8,8.0928623e-7,0.0023120581,0.006909859,0.0024929666],"study_design_scores_gemma":[0.00013788848,0.000028040315,0.9580775,0.00001985068,0.000038817667,3.8245048e-8,0.0060942383,4.134599e-7,0.000021040842,0.022851769,0.012590366,0.0001400362],"about_ca_topic_score_codex":0.001176193,"about_ca_topic_score_gemma":0.0046617365,"teacher_disagreement_score":0.057053555,"about_ca_system_score_codex":0.00004609369,"about_ca_system_score_gemma":0.000035477307,"threshold_uncertainty_score":0.5205869},"labels":[],"label_agreement":null},{"id":"W2129196351","doi":"10.1186/1479-5868-7-62","title":"What's \"quickest and easiest?\": parental decision making about school trip mode","year":2010,"lang":"en","type":"article","venue":"International Journal of Behavioral Nutrition and Physical Activity","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":197,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research; Heart and Stroke Foundation of Canada","keywords":"Mode choice; Perception; Thematic analysis; Psychology; Public relations; Applied psychology; Social psychology; Qualitative research; Sociology; Engineering; Political science; Transport engineering; Social science; Public transport","score_opus":0.03050605774163792,"score_gpt":0.40308262666125705,"score_spread":0.3725765689196191,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2129196351","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976722,0.000066081266,0.00013886833,0.00070909987,0.0012163637,0.000096882366,0.000026408123,0.000010443943,0.0000636507],"genre_scores_gemma":[0.9983487,0.00019124972,0.00033281936,0.00004122281,0.00105996,0.0000032810865,0.0000036607817,0.000005209002,0.0000138563755],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99893993,0.000053515563,0.00018491299,0.00014807496,0.00054793037,0.0001256157],"domain_scores_gemma":[0.9991767,0.00011309958,0.00019743363,0.00005403714,0.00027343383,0.00018530297],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021254516,0.0000953139,0.00017587584,0.000082008984,0.00017790605,0.00043018782,0.00018842924,0.00007743218,0.00007396588],"category_scores_gemma":[0.000042538984,0.000084708816,0.00010757961,0.00007157475,0.00026946954,0.0023255886,0.000029270133,0.00041810208,0.0000016931826],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010413674,0.004704382,0.453913,0.000016595905,0.00003397185,0.000064317326,0.0030434565,0.0000011424579,0.023722552,0.0009533786,0.00018574283,0.5123201],"study_design_scores_gemma":[0.0014962804,0.00012535037,0.9805183,0.000280798,0.000050557133,0.0000197846,0.0013058307,0.0001179631,0.0012723124,0.012724016,0.0019044889,0.00018433736],"about_ca_topic_score_codex":0.00027369455,"about_ca_topic_score_gemma":0.00055943767,"teacher_disagreement_score":0.52660525,"about_ca_system_score_codex":0.000049656275,"about_ca_system_score_gemma":0.00005759252,"threshold_uncertainty_score":0.4148311},"labels":[],"label_agreement":null},{"id":"W2129376627","doi":"10.1111/0017-4815.00165","title":"Determinants of the Travel Behavior of the Suburban Elderly","year":2001,"lang":"en","type":"article","venue":"Growth and Change","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":62,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Explanatory power; Metropolitan area; Suburbanization; Autonomy; Geography; Logistic regression; Population; Demographic economics; Psychology; Demography; Gerontology; Sociology; Medicine; Political science; Economics","score_opus":0.047345426906872906,"score_gpt":0.28918747719283133,"score_spread":0.24184205028595843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2129376627","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975648,0.00018321455,6.9079886e-7,0.00024318908,0.00014000772,0.00020857352,0.000014680627,0.0000034103155,0.0016414701],"genre_scores_gemma":[0.999512,0.000045678455,0.0000026686541,0.00004925731,0.00007414248,0.000011073176,2.999203e-7,0.0000025635234,0.00030227643],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994122,0.00004702634,0.00013642892,0.0000883075,0.00018841757,0.00012763824],"domain_scores_gemma":[0.999689,0.000016411379,0.000089540175,0.00014044478,0.00003099947,0.000033611523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017129896,0.00004800728,0.00010131492,0.000010829285,0.00016815767,0.000007487077,0.0002526739,0.00004850863,0.000053566237],"category_scores_gemma":[0.000017165856,0.00002571829,0.000069147056,0.00017437544,0.0003207516,0.00007864989,0.000017354829,0.00004810083,2.7786172e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000040110635,0.000034269564,0.9881823,0.0000118354155,9.69349e-7,5.3111324e-7,0.006368359,4.020977e-10,0.00027576223,0.000118839394,0.000013798222,0.0049892906],"study_design_scores_gemma":[0.00009544455,0.000019630843,0.99523836,0.000014595265,0.00002139574,2.4130856e-7,0.00065008085,3.9445763e-7,0.003483935,0.000307139,0.00013457333,0.00003420686],"about_ca_topic_score_codex":0.005293514,"about_ca_topic_score_gemma":0.01158164,"teacher_disagreement_score":0.0070560295,"about_ca_system_score_codex":0.0000044488693,"about_ca_system_score_gemma":0.000027650442,"threshold_uncertainty_score":0.8002245},"labels":[],"label_agreement":null},{"id":"W2130382222","doi":"10.3141/2076-13","title":"How Far and with Whom Do People Socialize?","year":2008,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":170,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; University of Toronto; Transport Canada","keywords":"Context (archaeology); Social network (sociolinguistics); Social relation; Social isolation; Affect (linguistics); Social environment; Distribution (mathematics); Spatial contextual awareness; Proxy (statistics); Social psychology; Psychology; Geography; Sociology; Computer science; Social media; Communication; World Wide Web; Artificial intelligence; Social science","score_opus":0.10037050527641213,"score_gpt":0.3892211820436169,"score_spread":0.2888506767672048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130382222","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9852054,0.0005486122,0.00090744835,0.011638856,0.00022199773,0.00092776684,0.00004124363,0.000036052297,0.0004726092],"genre_scores_gemma":[0.9929087,0.0028228615,0.0010218791,0.000043881413,0.00032066592,0.000044420893,0.000008943423,0.000042165506,0.0027864806],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99127316,0.0014655761,0.0008137517,0.00046682096,0.0049395547,0.0010411299],"domain_scores_gemma":[0.9940436,0.00082513795,0.00040502954,0.00037744484,0.0037594936,0.0005893115],"candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.004496286,0.00024130597,0.00050448824,0.0006091033,0.0035170203,0.00044386022,0.0010414553,0.00023637059,0.0002697026],"category_scores_gemma":[0.00019386139,0.00016972575,0.00028451477,0.0025108317,0.0034942587,0.0014307793,0.000005348059,0.0019428582,0.0000057410653],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00080745877,0.00017455268,0.95804495,0.000102925456,0.000088394845,0.00013067148,0.030868843,0.000019807976,0.00020262692,0.0037837566,0.0021541198,0.0036219074],"study_design_scores_gemma":[0.0012188175,0.00034010597,0.93359226,0.0001575442,0.00004069922,4.5450545e-7,0.012374936,0.000005218695,0.0001332371,0.0027310916,0.04921058,0.00019505038],"about_ca_topic_score_codex":0.04154104,"about_ca_topic_score_gemma":0.4396265,"teacher_disagreement_score":0.39808545,"about_ca_system_score_codex":0.00021323342,"about_ca_system_score_gemma":0.0019006178,"threshold_uncertainty_score":0.9992177},"labels":[],"label_agreement":null},{"id":"W2130434986","doi":"10.3141/2132-04","title":"How Travel Attributes Affect Planning Time Horizon of Activities","year":2009,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Time horizon; Explanatory power; Travel behavior; Travel time; Transportation planning; Affect (linguistics); Econometrics; Predictive power; Logit; Mode choice; Regression analysis; Computer science; Operations research; Transport engineering; Statistics; Business; Economics; Public transport; Mathematics; Engineering; Psychology","score_opus":0.11096397054528456,"score_gpt":0.4121775630225689,"score_spread":0.30121359247728435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130434986","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9888166,0.0004364351,0.0009981912,0.007556959,0.0003063943,0.0009553507,0.000088621324,0.000033159693,0.00080827513],"genre_scores_gemma":[0.9964548,0.0003964243,0.00062338094,0.000018775774,0.00034370416,0.00001766451,0.000019962503,0.000028665288,0.002096618],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99073124,0.0017827824,0.0011371323,0.00040654535,0.0048613525,0.0010809625],"domain_scores_gemma":[0.99434114,0.001497552,0.00065232534,0.00041950142,0.0026587653,0.0004307275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0072306455,0.0002591485,0.00066683505,0.00092734594,0.0011362557,0.0002515657,0.001434598,0.0002814023,0.0002670253],"category_scores_gemma":[0.0003494342,0.00020089018,0.0005886612,0.002459753,0.0014185018,0.001558198,0.0000034936845,0.0019418148,0.00000519323],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0032711776,0.0009742698,0.8786811,0.0004202017,0.00028189766,0.0001827106,0.026589552,0.00030689847,0.044808764,0.007314561,0.0077172983,0.029451547],"study_design_scores_gemma":[0.0010185785,0.0013954468,0.96961975,0.00046545078,0.00006353497,9.418346e-8,0.008781045,0.000015174276,0.00886596,0.0052829813,0.004279751,0.00021221086],"about_ca_topic_score_codex":0.005948942,"about_ca_topic_score_gemma":0.016570853,"teacher_disagreement_score":0.09093865,"about_ca_system_score_codex":0.00024721536,"about_ca_system_score_gemma":0.0010689098,"threshold_uncertainty_score":0.9246925},"labels":[],"label_agreement":null},{"id":"W2130501858","doi":"10.1111/j.1751-9020.2009.00268.x","title":"Mobile Cultures: From the Sociology of Transportation to the Study of Mobilities","year":2010,"lang":"en","type":"article","venue":"Sociology Compass","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":78,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Roads University","funders":"","keywords":"Mobilities; Sociology; Tourism; Field (mathematics); Economic geography; Social capital; Social science; Political science; Economics; Law","score_opus":0.024448044035099828,"score_gpt":0.33520108103039353,"score_spread":0.3107530369952937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130501858","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965853,0.00017501463,0.000035878456,0.0013391813,0.00055727403,0.00079526927,0.000111401656,0.000025390531,0.00037527995],"genre_scores_gemma":[0.99930054,0.000007926226,0.00004191731,0.00019173647,0.00022712872,0.00012113168,0.000028829218,0.0000048713528,0.00007594127],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99855876,0.00048687312,0.0003591199,0.0002152017,0.00017967592,0.00020037754],"domain_scores_gemma":[0.99849415,0.00081418856,0.00017075165,0.00032953962,0.00015402804,0.000037364014],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0008928512,0.00009652056,0.0002876435,0.000014699526,0.00044005597,0.000005120287,0.00068857707,0.00018531912,0.0002916189],"category_scores_gemma":[0.00007078251,0.000053779804,0.000109114044,0.00009494702,0.0031239816,0.000055099143,0.000013115753,0.00034835504,0.000005829686],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023704966,0.00018408142,0.48697975,0.0000026591879,0.000044729783,1.9438967e-7,0.5075649,0.000021100823,0.0006462139,0.003508996,0.0008973227,0.00012637413],"study_design_scores_gemma":[0.00022299845,0.00016265495,0.70192134,0.0000019280183,0.000042913507,1.0276959e-8,0.2819983,0.0000016370166,0.000101176316,0.009918255,0.0055710855,0.00005769567],"about_ca_topic_score_codex":0.011097062,"about_ca_topic_score_gemma":0.07347444,"teacher_disagreement_score":0.22556658,"about_ca_system_score_codex":0.000013200522,"about_ca_system_score_gemma":0.0001050459,"threshold_uncertainty_score":0.99958897},"labels":[],"label_agreement":null},{"id":"W2130950057","doi":"10.12927/whp.2011.22195","title":"Measuring Physical Accessibility to Health Facilities – A Case Study on Khulna City","year":2011,"lang":"en","type":"article","venue":"World health & population","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Unit (ring theory); Health care; Administration (probate law); Healthcare policy; Nursing; Peer review; Health policy; Health services research; Political science; Medicine; Library science; International health; Public health; Psychology","score_opus":0.2534262475471758,"score_gpt":0.42247975694849327,"score_spread":0.16905350940131747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130950057","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9939496,0.000033888155,0.00012724787,0.0014915137,0.00034622726,0.0018683672,0.000026092228,0.00021860699,0.0019384552],"genre_scores_gemma":[0.9981293,0.0000012255477,0.00018138325,0.0006830701,0.00027313302,0.000063599946,0.000011417471,0.000012688222,0.00064419815],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99670744,0.0007514094,0.0006386818,0.0006164058,0.0006493192,0.0006367529],"domain_scores_gemma":[0.9985813,0.00008029896,0.00026303038,0.0004432456,0.000094040035,0.00053806894],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002626659,0.0001917467,0.00042333154,0.00018949674,0.001608816,0.000060329512,0.00022474979,0.000040239844,0.00013704573],"category_scores_gemma":[0.00010235481,0.00018380152,0.00009172289,0.000740623,0.00007255588,0.000436278,0.00003342439,0.00027279893,0.000020491734],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006001835,0.0007029642,0.85122615,0.000059668255,0.000005311776,0.000012060376,0.13337949,0.0000039848533,2.5420073e-7,0.0005378791,0.00008330559,0.013928928],"study_design_scores_gemma":[0.00022966997,0.0002457522,0.98246807,0.00003463557,0.000004631042,4.4115677e-7,0.014609461,0.000014276556,0.0000032939843,0.0016724875,0.00055720244,0.0001601003],"about_ca_topic_score_codex":0.39326888,"about_ca_topic_score_gemma":0.59160984,"teacher_disagreement_score":0.19834097,"about_ca_system_score_codex":0.0008232922,"about_ca_system_score_gemma":0.00036546914,"threshold_uncertainty_score":0.99969095},"labels":[],"label_agreement":null},{"id":"W2131134254","doi":"10.1123/jpah.2013-0206","title":"Implementing a Public Bicycle Share Program: Impact on Perceptions and Support for Public Policies for Active Transportation","year":2014,"lang":"en","type":"article","venue":"Journal of Physical Activity and Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal","funders":"Canadian Institutes of Health Research","keywords":"Active living; Perception; Public opinion; Public transport; Sustainability; Public health; Psychological intervention; Environmental health; Population; Risk perception; Public support; Psychology; Resistance (ecology); Gerontology; Business; Medicine; Public economics; Political science; Transport engineering; Nursing; Engineering; Economics; Politics","score_opus":0.0968868036436764,"score_gpt":0.44940960703177246,"score_spread":0.35252280338809605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2131134254","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9861485,0.000006478977,0.0012951777,0.011649888,0.000028434248,0.0005697772,0.00017970035,0.000016647378,0.00010542765],"genre_scores_gemma":[0.99904287,0.000014360507,0.0002514317,0.00011538763,0.0004998415,0.000030226465,0.000022928974,0.000007269344,0.000015703776],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99897265,0.00007061633,0.00019453163,0.0001444979,0.00020082292,0.00041690015],"domain_scores_gemma":[0.9989179,0.00023248327,0.00032776076,0.00004864648,0.00017926059,0.00029397415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010249637,0.00009703057,0.000291827,0.00008417354,0.00087312446,0.00014658985,0.00007633311,0.000042289743,0.00001690506],"category_scores_gemma":[0.000064898995,0.000073107425,0.000177128,0.00012615461,0.00011585934,0.0008969168,0.000003929539,0.0001506948,1.346848e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028674994,0.0019810342,0.14700532,0.00028125147,0.00008100408,1.8634479e-7,0.019579198,0.0000014871579,0.0004759784,0.013227365,0.00028469544,0.8167957],"study_design_scores_gemma":[0.000624781,0.0020117618,0.98660725,0.000021328078,0.000025345287,2.611036e-7,0.0016019628,0.00020579965,0.000046056775,0.0037155189,0.0050543332,0.000085597305],"about_ca_topic_score_codex":0.00060453214,"about_ca_topic_score_gemma":0.0041083386,"teacher_disagreement_score":0.83960193,"about_ca_system_score_codex":0.00009726667,"about_ca_system_score_gemma":0.0003543407,"threshold_uncertainty_score":0.67154557},"labels":[],"label_agreement":null},{"id":"W2131566600","doi":"10.1016/j.jtrangeo.2004.11.003","title":"Sustainable transportation and quality of life","year":2004,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":521,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Sustainability; Sustainable transport; Dilemma; Relation (database); Preference; Quality (philosophy); Quality of life (healthcare); Term (time); Business; Perspective (graphical); Environmental economics; Public economics; Transport engineering; Natural resource economics; Economics; Engineering; Computer science; Microeconomics; Psychology; Ecology","score_opus":0.01906207155298318,"score_gpt":0.29444669826115694,"score_spread":0.27538462670817376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2131566600","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959923,0.001120055,0.0011467874,0.00058413285,0.00011153792,0.00014397943,0.000016658281,0.000015105265,0.0008694399],"genre_scores_gemma":[0.9986446,0.0004036349,0.00074708613,0.000058763988,0.00009205068,0.0000012241427,0.0000054094025,0.0000072055423,0.000040043135],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980276,0.000054379987,0.0009325735,0.0001346769,0.00058512867,0.00026559146],"domain_scores_gemma":[0.99856234,0.000043966967,0.0005681967,0.00010517387,0.0004697723,0.00025053116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016385281,0.00011128139,0.00040518527,0.00024875868,0.00018571186,0.00001597703,0.0002101297,0.00010833079,0.00007012002],"category_scores_gemma":[0.00003378793,0.00009954512,0.0003623156,0.00053967006,0.00045539014,0.00066645077,0.0000010257045,0.00018779554,1.840741e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019253958,0.00019219959,0.9855777,0.00015263518,0.0000629218,0.000017777056,0.0063219676,0.000060756876,0.00013684765,0.007055859,0.0000053865215,0.00022338034],"study_design_scores_gemma":[0.0010983404,0.000096900534,0.98419005,0.00003871461,0.000083592924,2.1824059e-7,0.004637277,3.8438376e-8,0.00019991041,0.0078540705,0.0016921185,0.00010877448],"about_ca_topic_score_codex":0.0076068854,"about_ca_topic_score_gemma":0.0046460712,"teacher_disagreement_score":0.002960814,"about_ca_system_score_codex":0.00002177866,"about_ca_system_score_gemma":0.00039629583,"threshold_uncertainty_score":0.99900156},"labels":[],"label_agreement":null},{"id":"W2131885245","doi":"10.1002/atr.5670370303","title":"A systemic overview of non‐motorized transportation for developing countries: An agenda for action","year":2003,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"TRIPS architecture; Equity (law); Developing country; Sustainability; Action (physics); Sustainable transport; Business; Transportation planning; Transport engineering; Economic growth; Economics; Political science; Engineering","score_opus":0.06838558044726009,"score_gpt":0.3846459146904608,"score_spread":0.31626033424320066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2131885245","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77843916,0.00040788966,0.21935137,0.00007793152,0.00076674134,0.0008353965,0.000092260125,0.000015129456,0.0000140993525],"genre_scores_gemma":[0.9654808,0.0008595947,0.033286158,0.000042717562,0.00013541541,0.00004855962,0.000099624325,0.000018924908,0.0000281819],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9980998,0.00005877497,0.0010484478,0.00018243813,0.00038926833,0.0002212531],"domain_scores_gemma":[0.9975148,0.0001711812,0.0011016172,0.00009281423,0.0010401229,0.00007945872],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010996027,0.00013903486,0.00041419992,0.00012311804,0.0002284559,0.000019481964,0.0001409243,0.00012030826,0.000017436127],"category_scores_gemma":[0.000070434224,0.00013582046,0.00025508986,0.00026907897,0.00006342264,0.0014155781,1.04247434e-7,0.00008229471,1.6124534e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.014770918,0.0015761798,0.22324844,0.019019337,0.0010123763,0.000032500924,0.30285075,0.024601102,0.24537793,0.1172922,0.00023257911,0.049985703],"study_design_scores_gemma":[0.018092286,0.0019461039,0.746178,0.002686397,0.0014892252,0.0000036887873,0.042751435,0.000066660694,0.05465778,0.019584715,0.11134079,0.0012029435],"about_ca_topic_score_codex":0.000059234895,"about_ca_topic_score_gemma":0.0021285778,"teacher_disagreement_score":0.52292955,"about_ca_system_score_codex":0.00014647197,"about_ca_system_score_gemma":0.00059712544,"threshold_uncertainty_score":0.5538598},"labels":[],"label_agreement":null},{"id":"W2132668231","doi":"10.1016/j.amepre.2007.07.025","title":"Neighborhood Walkability and the Walking Behavior of Australian Adults","year":2007,"lang":"en","type":"article","venue":"American Journal of Preventive Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":626,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver Community College; University of British Columbia","funders":"","keywords":"Walkability; Recreation; Socioeconomic status; Built environment; Social connectedness; Environmental health; Level design; Geography; Community design; Gerontology; Transport engineering; Psychology; Medicine; Population; Computer science; Social psychology; Ecology; Engineering","score_opus":0.012489139055331727,"score_gpt":0.3271522459770581,"score_spread":0.3146631069217264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132668231","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9942216,0.00026733105,0.00058662886,0.0030463338,0.00019528258,0.00020793253,0.0000018600194,0.000004360355,0.0014686345],"genre_scores_gemma":[0.99919367,0.00006903163,0.00021634481,0.00006812878,0.0003088891,0.0000012063979,4.5883937e-7,0.0000043172463,0.00013796776],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99821526,0.0003218474,0.00064856134,0.00011675279,0.00049023697,0.00020734825],"domain_scores_gemma":[0.99803305,0.0005203689,0.00086087803,0.00012344096,0.00030912278,0.00015312189],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0050274297,0.00008987685,0.00043457263,0.00007332781,0.00012762268,0.000006191094,0.000264977,0.000025489817,0.0001884592],"category_scores_gemma":[0.000492251,0.000050475297,0.00011375417,0.0003677577,0.0045140125,0.00015325958,0.000015066634,0.00023034817,2.4751267e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005530139,0.00011202614,0.7938446,0.00001330433,0.00004551267,0.000013527941,0.026349334,6.2106665e-8,0.00014527021,0.0006016706,0.000048776124,0.17827295],"study_design_scores_gemma":[0.0016960179,0.0004619128,0.96157575,0.00015309957,0.0002087474,0.000004942987,0.03332022,3.860887e-7,0.00019007151,0.0016938455,0.0006328983,0.00006213321],"about_ca_topic_score_codex":0.002787325,"about_ca_topic_score_gemma":0.00094732776,"teacher_disagreement_score":0.17821081,"about_ca_system_score_codex":0.000041430027,"about_ca_system_score_gemma":0.00007719682,"threshold_uncertainty_score":0.9981951},"labels":[],"label_agreement":null},{"id":"W2132673872","doi":"10.2167/jost609.0","title":"Modelling Tourism Destination Energy Consumption and Greenhouse Gas Emissions: Whistler, British Columbia, Canada","year":2007,"lang":"en","type":"article","venue":"Journal of Sustainable Tourism","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":135,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University; University of British Columbia","funders":"","keywords":"Greenhouse gas; Energy consumption; Tourism; Sustainability; Context (archaeology); Environmental economics; Business; Environmental resource management; Destinations; Consumption (sociology); Sustainable development; Environmental planning; Environmental science; Economics; Geography; Engineering","score_opus":0.013526983088774579,"score_gpt":0.24418698042028902,"score_spread":0.23065999733151443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132673872","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9792057,0.0023256561,0.015786543,0.00040779953,0.00023178906,0.00012454682,0.0000024313015,0.000021204358,0.0018943013],"genre_scores_gemma":[0.98261285,0.0009108769,0.00083656027,0.00009438357,0.0005226497,0.0000015061547,0.0000021523163,0.000013964302,0.015005081],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980372,0.00008803151,0.0005732134,0.00017130887,0.00062583253,0.0005043877],"domain_scores_gemma":[0.9982059,0.00014840286,0.0004391851,0.00009498811,0.00074022426,0.00037130067],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018228156,0.000092839735,0.00023340071,0.00008985909,0.00087235944,0.0003363316,0.00019560923,0.00013751982,0.00022748561],"category_scores_gemma":[0.00018269003,0.00012884621,0.00006233858,0.00023642267,0.0001590653,0.00075286365,0.000022218881,0.00026556107,1.5516568e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031171102,0.0008764644,0.61868286,0.0005632611,0.00018976339,0.030083073,0.0069920123,0.0028545763,0.00010266978,0.0024286583,0.17570227,0.16121265],"study_design_scores_gemma":[0.005105977,0.00048570603,0.2870059,0.0009034567,0.00044783342,0.0003583904,0.058242235,0.0033675747,0.00021634779,0.071993135,0.57009745,0.0017760185],"about_ca_topic_score_codex":0.9667494,"about_ca_topic_score_gemma":0.94932437,"teacher_disagreement_score":0.39439514,"about_ca_system_score_codex":0.0006616524,"about_ca_system_score_gemma":0.0014049099,"threshold_uncertainty_score":0.67095715},"labels":[],"label_agreement":null},{"id":"W2133257173","doi":"10.1111/j.1541-0064.2008.00214.x","title":"Smart growth strategies, transportation and urban sprawl: simulated futures for Hamilton, Ontario","year":2008,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":96,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"Government of Canada","keywords":"Urban sprawl; Smart growth; Decentralization; Traffic congestion; Population growth; Geography; Population; Growth management; Economic geography; Land use; Sustainability; Business; Environmental planning; Transport engineering; Economics; Engineering; Civil engineering; Ecology","score_opus":0.012520209842004823,"score_gpt":0.21679074480172242,"score_spread":0.2042705349597176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133257173","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9930342,0.0017599843,0.000011654789,0.0006070971,0.0006311437,0.0009030079,0.00038425447,0.00017109499,0.0024975785],"genre_scores_gemma":[0.99698085,0.001097881,0.0001750832,0.00036589606,0.00022130997,0.000069127615,0.0003860537,0.0000428911,0.00066093385],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970619,0.00007005327,0.00049314275,0.0007135253,0.00030782667,0.0013535296],"domain_scores_gemma":[0.9975499,0.0001469909,0.00014481891,0.00032153135,0.00042435018,0.0014124154],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.00032574977,0.00041819192,0.00045391513,0.0016825167,0.0033399365,0.00020128823,0.00042921657,0.00033839265,0.00012641183],"category_scores_gemma":[0.000045021145,0.00045169456,0.0003133265,0.002509064,0.0028701366,0.00085995166,0.000003958728,0.00026297974,0.0000010723091],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046311,0.000023091112,0.938055,0.000049057402,0.00012013338,0.00006646672,0.04580314,0.000006871314,0.000005566195,0.011359109,0.0041693514,0.000295901],"study_design_scores_gemma":[0.0005008585,0.00009796092,0.8283436,0.00002496113,0.00009969444,0.0000024980454,0.0221856,0.0000028359627,0.000007800995,0.0032676375,0.14490472,0.00056183524],"about_ca_topic_score_codex":0.9933721,"about_ca_topic_score_gemma":0.999981,"teacher_disagreement_score":0.14073537,"about_ca_system_score_codex":0.00019042855,"about_ca_system_score_gemma":0.001511104,"threshold_uncertainty_score":0.9998435},"labels":[],"label_agreement":null},{"id":"W2133493492","doi":"10.1061/(asce)0733-9488(2006)132:4(247)","title":"Transportation Activity Centers for Urban Transportation Analysis","year":2006,"lang":"en","type":"article","venue":"Journal of Urban Planning and Development","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Metropolitan area; Urban agglomeration; Transport engineering; Regional science; Strengths and weaknesses; Geography; Economic geography; Urban structure; Center (category theory); Environmental planning; Business; Urban planning; Civil engineering; Engineering; Psychology","score_opus":0.022583496837710385,"score_gpt":0.2909280642200653,"score_spread":0.2683445673823549,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133493492","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9597026,0.00035614643,0.039313577,0.000151267,0.00014593524,0.00011789629,0.000019655286,0.000017044984,0.00017587648],"genre_scores_gemma":[0.9962646,0.000007159246,0.003211904,0.00002349041,0.00016345178,0.000004069768,0.00006649546,0.0000058675346,0.00025297632],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99882156,0.000031011863,0.00046844978,0.00014636149,0.00033186778,0.00020076083],"domain_scores_gemma":[0.99926037,0.00007277679,0.00037176194,0.000043459975,0.00015114553,0.00010046828],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006168171,0.000105492065,0.00026188954,0.00020920527,0.0003260956,0.000055625616,0.000090692716,0.00007145221,0.00001540267],"category_scores_gemma":[0.00000929912,0.00009538314,0.00013429034,0.00027365508,0.00005941692,0.000315824,5.512737e-7,0.00009648874,2.2304265e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015194865,0.00008113151,0.9842026,0.000023932149,0.00015575538,0.000008742575,0.012230893,0.00022144146,0.00010294852,0.00008252634,0.001280462,0.0014575925],"study_design_scores_gemma":[0.00049219193,0.000033128472,0.9758734,0.000031962692,0.00023467158,1.2786674e-7,0.0007854509,0.000021924223,0.00042731708,0.00008760256,0.021890495,0.00012170314],"about_ca_topic_score_codex":0.0003691695,"about_ca_topic_score_gemma":0.0016543885,"teacher_disagreement_score":0.036561985,"about_ca_system_score_codex":0.00007642565,"about_ca_system_score_gemma":0.00019778602,"threshold_uncertainty_score":0.38896117},"labels":[],"label_agreement":null},{"id":"W2133695840","doi":"10.1016/j.respe.2011.05.004","title":"L’accessibilité potentielle aux services de santé mentale à Montréal : approche par les systèmes d’information géographique","year":2011,"lang":"fr","type":"article","venue":"Revue d Épidémiologie et de Santé Publique","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Douglas Mental Health University Institute","funders":"","keywords":"Geocoding; Mental health; Geography; Population; Business; Geographic information system; Cartography; Environmental health; Medicine","score_opus":0.0364552837254813,"score_gpt":0.29608421402214535,"score_spread":0.25962893029666406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133695840","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.917587,0.012269314,0.006867837,0.0032908856,0.0011594193,0.0012050815,0.00019861311,0.00051450054,0.056907345],"genre_scores_gemma":[0.9835564,0.007801344,0.0047156736,0.0017789627,0.00071168266,0.0002286588,0.00021400777,0.000044925036,0.00094832754],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9939072,0.0018307962,0.0013750102,0.0008535599,0.00039211006,0.0016412954],"domain_scores_gemma":[0.9969573,0.00044587313,0.0008611667,0.0008057054,0.00041573177,0.00051423715],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0050344947,0.0006588983,0.0008706799,0.00032368256,0.0009365973,0.0003853623,0.00162368,0.0013055811,0.0007237747],"category_scores_gemma":[0.00044629443,0.00062468176,0.0005990245,0.0012215185,0.0013998658,0.0046016607,0.0002496136,0.0010024754,0.00006355183],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017781294,0.00067817775,0.8808996,0.0018789711,0.00020824149,0.000051933577,0.034982882,0.000043623753,0.00016565016,0.037409462,0.0012346667,0.042268984],"study_design_scores_gemma":[0.00061139016,0.0002302978,0.893475,0.0005601623,0.00022072844,0.000022085544,0.016631091,0.00094460696,0.001117802,0.0690915,0.01612808,0.00096727576],"about_ca_topic_score_codex":0.054578092,"about_ca_topic_score_gemma":0.010002147,"teacher_disagreement_score":0.065969415,"about_ca_system_score_codex":0.00072076387,"about_ca_system_score_gemma":0.0013329857,"threshold_uncertainty_score":0.99999094},"labels":[],"label_agreement":null},{"id":"W2133705420","doi":"10.1071/wf08137","title":"The development of fire-induced damage functions for forest recreation activity in Alberta, Canada","year":2010,"lang":"en","type":"article","venue":"International Journal of Wildland Fire","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Agriculture Food and Rural Development; University of Alberta","funders":"","keywords":"Recreation; Negative binomial distribution; Geography; Fire regime; Boreal; Taiga; Environmental science; Physical geography; Ecosystem; Forestry; Ecology; Statistics; Mathematics; Archaeology","score_opus":0.01852510734877989,"score_gpt":0.295245466321691,"score_spread":0.27672035897291114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133705420","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948344,0.000007790637,0.00010179503,0.0031970774,0.0012357467,0.00009523162,0.000008287384,0.000001388834,0.0005182331],"genre_scores_gemma":[0.9990514,0.000005800967,0.00015835353,0.000017195869,0.00025836087,0.0000047778317,0.0000051490842,0.0000028845711,0.00049606845],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99917585,0.000019890611,0.00030938513,0.00006081308,0.0003381766,0.00009589218],"domain_scores_gemma":[0.9990096,0.0002970689,0.0002725201,0.000052549953,0.00032185495,0.000046406363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053896994,0.000047724803,0.00008732373,0.000028079185,0.00020098347,0.00003363614,0.00028710288,0.000044350534,0.00002284384],"category_scores_gemma":[0.0002502922,0.000033853925,0.000048206057,0.00006633561,0.00004610065,0.00021550528,0.000008419602,0.00015209908,2.166202e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020648674,0.00010539087,0.95501447,0.000004375177,0.0000588563,0.0000025416118,0.0023828608,0.000038275208,0.0006690454,0.00020860771,0.0006008515,0.040708218],"study_design_scores_gemma":[0.00038278796,0.000017639386,0.96344846,0.00002679177,0.0000075262897,6.0501793e-7,0.0004246235,0.0002027492,0.00026248462,0.0003735671,0.034801938,0.00005082428],"about_ca_topic_score_codex":0.333681,"about_ca_topic_score_gemma":0.99049,"teacher_disagreement_score":0.65680903,"about_ca_system_score_codex":0.00012496141,"about_ca_system_score_gemma":0.0015104645,"threshold_uncertainty_score":0.6707561},"labels":[],"label_agreement":null},{"id":"W2134374251","doi":"10.3141/2021-06","title":"Stated Adaptation Survey of Activity Rescheduling","year":2007,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Multinomial logistic regression; Univariate; Schedule; Psychology; Adaptation (eye); Logistic regression; Preference; Computer science; Econometrics; Operations research; Statistics; Economics; Engineering; Multivariate statistics; Mathematics","score_opus":0.21810315922218831,"score_gpt":0.4602559979374804,"score_spread":0.24215283871529208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2134374251","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9896089,0.000167123,0.0072267726,0.00090002886,0.0005706085,0.00092359894,0.00009717232,0.000028347848,0.00047747005],"genre_scores_gemma":[0.9974102,0.000451482,0.001450026,0.000013626884,0.00016284954,0.000011190904,0.000025666368,0.000036888512,0.0004380869],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9876578,0.003204453,0.0018326668,0.00041972098,0.0057457136,0.0011396353],"domain_scores_gemma":[0.9854359,0.0032464142,0.0009025026,0.00045544014,0.009458579,0.00050116505],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.032874323,0.00021591099,0.00053037895,0.0010673843,0.0011152428,0.00010311646,0.0013048359,0.0002902661,0.0003364616],"category_scores_gemma":[0.0011110122,0.00017555286,0.00036421022,0.004679327,0.0016856559,0.0011454757,0.0000055078513,0.0021908092,0.0000073580545],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0034243446,0.00040484747,0.9648643,0.00014574862,0.00010256118,0.000042776624,0.013073481,0.00045972355,0.0034914874,0.0010613911,0.00043540486,0.012493897],"study_design_scores_gemma":[0.00097103,0.00028692512,0.9853778,0.00019944888,0.000035044523,3.0311444e-8,0.005839482,0.000057031204,0.003701155,0.0014455029,0.0019257929,0.00016076179],"about_ca_topic_score_codex":0.28250283,"about_ca_topic_score_gemma":0.7875826,"teacher_disagreement_score":0.50507975,"about_ca_system_score_codex":0.0003562841,"about_ca_system_score_gemma":0.0019711272,"threshold_uncertainty_score":0.9958594},"labels":[],"label_agreement":null},{"id":"W2134376147","doi":"","title":"A Study of Visitors’ Leisure Travel Behavior in the Northwest Territories of Canada","year":2011,"lang":"en","type":"article","venue":"Texas ScholarWorks (Texas Digital Library)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Tourism; Multivariate probit model; Travel behavior; Geography; Probit model; Advertising; Leisure time; Recreation; Multivariate statistics; Probit; Marketing; Business; Transport engineering; Statistics; Engineering; Mathematics; Physical activity; Political science","score_opus":0.025063263527924668,"score_gpt":0.2463277192141568,"score_spread":0.22126445568623213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2134376147","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.970375,0.0001253961,0.0000016097058,0.000070296155,0.00025740726,0.0006892053,0.00022682818,0.000034881923,0.02821936],"genre_scores_gemma":[0.99912727,0.000003743147,0.000028867644,0.000026985508,0.00013862515,0.000017355576,0.000048151684,0.00002174451,0.00058724644],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99763584,0.00017446552,0.00065403205,0.00033914094,0.00078681845,0.00040970455],"domain_scores_gemma":[0.9989384,0.00014192381,0.00023795973,0.0004724217,0.000067754045,0.00014158184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034556337,0.00021845989,0.00039765137,0.00010351366,0.00017994813,0.00022920473,0.0012427819,0.00013946112,0.0002774194],"category_scores_gemma":[0.00005725624,0.00016567983,0.000107803564,0.0008847644,0.00033495665,0.0032778147,0.00007402068,0.000428464,0.000002033044],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053839198,0.0013739193,0.9915243,0.000014102727,0.000018526502,0.000058147456,0.005773645,5.135081e-7,6.398618e-7,0.00050745823,0.00023887843,0.00043605952],"study_design_scores_gemma":[0.00037956104,0.00018696724,0.99031717,0.000031194242,0.00003214095,3.5766553e-7,0.0073203244,2.1050407e-7,0.00015825906,0.00028181402,0.0011091275,0.00018288656],"about_ca_topic_score_codex":0.5501201,"about_ca_topic_score_gemma":0.80718803,"teacher_disagreement_score":0.25706792,"about_ca_system_score_codex":0.00003741142,"about_ca_system_score_gemma":0.0007442296,"threshold_uncertainty_score":0.6756227},"labels":[],"label_agreement":null},{"id":"W2134575888","doi":"10.1186/1479-5868-10-57","title":"Perceived neighborhood environment and physical activity in 11 countries: Do associations differ by country?","year":2013,"lang":"en","type":"article","venue":"International Journal of Behavioral Nutrition and Physical Activity","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":114,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Fitness and Lifestyle Research Institute","funders":"","keywords":"Generalizability theory; Recreation; Built environment; Level design; Environmental health; Logistic regression; Geography; Psychology; Demography; Medicine; Ecology","score_opus":0.018662930533898357,"score_gpt":0.318231089990298,"score_spread":0.29956815945639964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2134575888","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99695176,0.000025670985,0.00006459682,0.002368916,0.00011758275,0.00020640313,0.00019327301,0.0000091767015,0.00006263311],"genre_scores_gemma":[0.9993491,0.00016148094,0.000014433592,0.0000405777,0.00036656283,0.00001609561,0.00001246779,0.000006506017,0.000032759042],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99868864,0.00013655676,0.00015821666,0.00018703184,0.0006521393,0.0001774223],"domain_scores_gemma":[0.99925965,0.00015672065,0.0002213463,0.000055686996,0.00015415008,0.00015243828],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014769172,0.00013072451,0.0002735356,0.00006144548,0.00014700912,0.00020203045,0.00015535942,0.00008074738,0.00009816432],"category_scores_gemma":[0.000015448764,0.00011805701,0.00009530858,0.00007260436,0.00028181123,0.0012672894,0.000028045723,0.00029748102,0.0000035644023],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001857722,0.014926552,0.9249966,0.000019127394,0.000060738897,0.000015244089,0.0076938835,0.000001926748,0.027508905,0.00067552057,0.00063442177,0.023281286],"study_design_scores_gemma":[0.0011617511,0.000088518034,0.9938287,0.000036840207,0.000038712078,0.0000010358727,0.00052517746,0.00015265879,0.000630989,0.0023658837,0.0010227235,0.00014697245],"about_ca_topic_score_codex":0.0021211668,"about_ca_topic_score_gemma":0.00018640998,"teacher_disagreement_score":0.068832114,"about_ca_system_score_codex":0.0002477177,"about_ca_system_score_gemma":0.000042468782,"threshold_uncertainty_score":0.48142254},"labels":[],"label_agreement":null},{"id":"W2134596322","doi":"10.1123/rsj.32.2.87","title":"Characteristics of Users and Nonusers of a Campus Recreation Center","year":2008,"lang":"en","type":"article","venue":"Recreational Sports Journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"AGE-WELL","keywords":"Recreation; Fraternity; Physical activity; Psychology; Gerontology; Sample (material); Body mass index; College health; Environmental health; Demography; Medicine; Family medicine; Physical therapy; Sociology","score_opus":0.01980380506761315,"score_gpt":0.2773620344106448,"score_spread":0.25755822934303163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2134596322","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954444,0.000099541954,0.00015739763,0.00012899941,0.00013491785,0.00008263899,0.000018595136,0.0000065867193,0.003926922],"genre_scores_gemma":[0.99699706,0.0015398265,0.00087803655,0.000015509304,0.0001635438,9.4215466e-7,0.000022635357,0.0000048090624,0.00037766385],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998871,0.000042773056,0.00040184578,0.00009521606,0.00046816928,0.00012098907],"domain_scores_gemma":[0.99907094,0.00004854869,0.0004165966,0.000060293678,0.00028646307,0.000117170755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004607531,0.00006547749,0.00018101816,0.000083380655,0.0002478325,0.000010847898,0.00007785189,0.000063574036,0.00043617486],"category_scores_gemma":[0.00008347525,0.000059454476,0.00006800362,0.00013055837,0.0003210049,0.0002851357,0.000005555628,0.000099685305,3.9708942e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059422255,0.00007519894,0.9940823,0.000009345907,0.000014785417,0.000012154694,0.002194432,0.0000013609521,0.00008608053,0.00046066492,0.00009959312,0.0029047076],"study_design_scores_gemma":[0.00022851922,0.00002041733,0.9960666,0.00006345501,0.000019327783,0.000021770536,0.0002426927,0.0000041968233,0.000104183666,0.00041455857,0.0027569537,0.000057347042],"about_ca_topic_score_codex":0.00024326604,"about_ca_topic_score_gemma":0.000046025852,"teacher_disagreement_score":0.0035492582,"about_ca_system_score_codex":0.000044379507,"about_ca_system_score_gemma":0.0002725882,"threshold_uncertainty_score":0.4775809},"labels":[],"label_agreement":null},{"id":"W2134763508","doi":"10.3141/1894-15","title":"Computerized Household Activity-Scheduling Survey for Toronto, Canada, Area: Design and Assessment","year":2004,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":74,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto; Wilfrid Laurier University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Respondent; Survey data collection; Data quality; Travel behavior; Travel survey; Quality (philosophy); Computer science; Business; Transport engineering; Engineering; Marketing; Political science","score_opus":0.21940535577639195,"score_gpt":0.43248180752388404,"score_spread":0.2130764517474921,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2134763508","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93253285,0.00022289621,0.061235268,0.0034917644,0.00052977115,0.0017256835,0.00016224345,0.000023428844,0.00007609263],"genre_scores_gemma":[0.983334,0.0007485764,0.015381917,0.00004701665,0.00017921248,0.00008022403,0.000020765405,0.000038025606,0.000170257],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9922567,0.0019328459,0.0009758148,0.00045191217,0.0034119734,0.000970748],"domain_scores_gemma":[0.99346554,0.0024179271,0.00041279558,0.00031900962,0.0028427779,0.00054193835],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.01194125,0.0002293702,0.0004998435,0.00023196494,0.0017018409,0.00023952292,0.00093440426,0.00018635076,0.000092409435],"category_scores_gemma":[0.00022513137,0.00018495988,0.0002272685,0.0009251169,0.0007543404,0.0010016029,0.000005353558,0.0013292535,3.4895766e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005028549,0.00081706943,0.94653714,0.00042512914,0.00039603416,0.00011635138,0.0107092345,0.012696084,0.002843182,0.0049228845,0.0030462658,0.012462081],"study_design_scores_gemma":[0.002223932,0.00032955184,0.9881564,0.00017836325,0.000040778723,6.804233e-8,0.0018818649,0.00014829615,0.00044693012,0.0024884606,0.0039060377,0.00019934648],"about_ca_topic_score_codex":0.923934,"about_ca_topic_score_gemma":0.9948649,"teacher_disagreement_score":0.07093089,"about_ca_system_score_codex":0.0012066193,"about_ca_system_score_gemma":0.006559333,"threshold_uncertainty_score":0.9995978},"labels":[],"label_agreement":null},{"id":"W2135230112","doi":"10.1123/jpah.6.5.657","title":"Does Perceived Behavioral Control Mediate the Association Between Perceptions of Neighborhood Walkability and Moderate- and Vigorous-Intensity Leisure-Time Physical Activity?","year":2009,"lang":"en","type":"article","venue":"Journal of Physical Activity and Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Population and Public Health","funders":"","keywords":"Walkability; Mediation; Association (psychology); Physical activity; Demographics; Perception; Psychology; Built environment; Multilevel model; Environmental health; Gerontology; Medicine; Demography; Physical therapy; Ecology","score_opus":0.024361215597336526,"score_gpt":0.3424249782972795,"score_spread":0.318063762699943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135230112","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.985224,0.000018140936,0.00013136925,0.014218409,0.000042207852,0.00026283058,0.000055487668,0.000012432916,0.00003509767],"genre_scores_gemma":[0.9992216,0.0000701239,0.000013501332,0.00006143676,0.0006101081,0.0000012083918,0.0000011053638,0.000004628756,0.000016255684],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983256,0.00046098127,0.00022804468,0.0002176561,0.00048208315,0.00028565212],"domain_scores_gemma":[0.99839646,0.0004666665,0.0005337611,0.00010229725,0.0002345476,0.0002662516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012489522,0.00014955255,0.0008476469,0.00003425133,0.00064316153,0.000078089746,0.00010574824,0.000099235156,0.000005324987],"category_scores_gemma":[0.00006753184,0.000085320746,0.00015649354,0.00011228074,0.00037603627,0.0007951703,0.000017149106,0.0005694648,3.4565159e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041302323,0.0021959057,0.9259069,0.00004207043,0.0000704568,0.0000010157373,0.016355935,0.000003091387,0.0062288614,0.00015666992,0.000015368563,0.048610702],"study_design_scores_gemma":[0.00061241013,0.0005865858,0.99244094,0.000023078761,0.00014988211,3.730385e-7,0.00046715743,0.0005934992,0.0001948892,0.004829832,0.0000059386857,0.00009542478],"about_ca_topic_score_codex":0.0013601407,"about_ca_topic_score_gemma":0.0005375815,"teacher_disagreement_score":0.06653403,"about_ca_system_score_codex":0.00016939915,"about_ca_system_score_gemma":0.00022028801,"threshold_uncertainty_score":0.49467435},"labels":[],"label_agreement":null},{"id":"W2135317811","doi":"10.1016/j.socscimed.2009.06.041","title":"Urban built environments and trajectories of mobility disability: Findings from a national sample of community-dwelling American adults (1986–2001)","year":2009,"lang":"en","type":"article","venue":"Social Science & Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":145,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute on Aging; Health Canada; Centers for Disease Control and Prevention; University of Michigan","keywords":"Odds; Built environment; Gerontology; Sample (material); Odds ratio; Population; Pedestrian; Travel behavior; Public health; Logistic regression; Level design; Demography; Psychology; Geography; Medicine; Sociology; Transport engineering; Engineering; Computer science","score_opus":0.03438938609284533,"score_gpt":0.33600706457226104,"score_spread":0.30161767847941573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135317811","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970017,0.00006193931,0.000107960164,0.0010974592,0.00009763871,0.00021830644,0.00008478569,0.000018969067,0.0013112597],"genre_scores_gemma":[0.99951917,0.000022006612,0.00009874195,0.00012563018,0.00019894696,0.0000033392291,0.000018645118,0.000003209888,0.000010327431],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974205,0.00021792066,0.00043789038,0.00027582678,0.001308757,0.00033914045],"domain_scores_gemma":[0.9986863,0.00059650623,0.0002416391,0.00018167865,0.00012832832,0.00016552514],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0031693715,0.00012402632,0.00039200956,0.000056776586,0.001020685,0.000015340967,0.00053826143,0.00005999827,0.00010732459],"category_scores_gemma":[0.0014060974,0.00010838331,0.000056199813,0.0009331886,0.015802015,0.00036597697,0.000029654864,0.00022453674,2.4377823e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052630232,0.00028087053,0.8579974,0.000011091035,0.0000054159905,9.584119e-8,0.13197577,3.8891247e-7,0.003234909,0.0010340392,0.000043018892,0.005364368],"study_design_scores_gemma":[0.00034235566,0.00016348326,0.9573873,0.00003487739,0.000020712676,1.9688153e-8,0.02505581,0.000009058397,0.00058801856,0.016030654,0.00027044525,0.00009723426],"about_ca_topic_score_codex":0.07173653,"about_ca_topic_score_gemma":0.00505312,"teacher_disagreement_score":0.10691996,"about_ca_system_score_codex":0.00021238142,"about_ca_system_score_gemma":0.00020846062,"threshold_uncertainty_score":0.9868764},"labels":[],"label_agreement":null},{"id":"W2135381177","doi":"10.14714/cp81.1243","title":"Rethinking the Urban Bike Map for the 21st Century","year":2015,"lang":"en","type":"article","venue":"Cartographic Perspectives","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Ideal (ethics); Order (exchange); Cycling; Computer science; Psychology; Public relations; Advertising; Sociology; Political science; Business; History; Law","score_opus":0.04638762264251686,"score_gpt":0.3060113849877594,"score_spread":0.25962376234524254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135381177","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.71678174,0.1119436,0.0008148932,0.059633896,0.0048966645,0.0034048485,0.00008174334,0.0006808985,0.101761706],"genre_scores_gemma":[0.99764436,0.00051363645,0.00007536187,0.00021101812,0.0010463103,0.00007594742,0.0000032858059,0.000012203994,0.0004178729],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99861616,0.00016173293,0.00014834525,0.00030856754,0.0004017217,0.00036347008],"domain_scores_gemma":[0.9987471,0.00037861257,0.00007825274,0.00036902956,0.00030674055,0.00012026197],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0015970806,0.00012566136,0.00013222978,0.000059009315,0.0014413379,0.00017179103,0.00062918325,0.00009027954,0.00003834013],"category_scores_gemma":[0.00025305623,0.00007006739,0.00024662225,0.0005488209,0.0014864027,0.00022501053,0.000026887219,0.00023325873,0.0000046119258],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050664978,0.00007876479,0.14335917,0.000010281332,0.000098687866,0.0000014180756,0.5813202,0.0000023481175,0.000023243007,0.26655802,0.006773658,0.0017235446],"study_design_scores_gemma":[0.00033364404,0.000040853978,0.043813504,0.000015384283,0.00008711771,2.3644766e-7,0.5589677,0.000013026868,0.000014619362,0.04845741,0.34806955,0.00018691065],"about_ca_topic_score_codex":0.0014812087,"about_ca_topic_score_gemma":0.00412546,"teacher_disagreement_score":0.3412959,"about_ca_system_score_codex":0.00007026415,"about_ca_system_score_gemma":0.00019278342,"threshold_uncertainty_score":0.9998587},"labels":[],"label_agreement":null},{"id":"W2135474056","doi":"10.5539/jgg.v5n2p1","title":"Polycentric Employment Growth and the Commuting Behaviour in Benin Metropolitan Region, Nigeria","year":2013,"lang":"en","type":"article","venue":"Journal of Geography and Geology","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Statistic; Metropolitan area; Decentralization; Bivariate analysis; Geography; Geographically Weighted Regression; Work (physics); Demographic economics; Regression analysis; Logistic regression; Journey to work; Economic geography; Econometrics; Statistics; Mathematics; Economics; Public transport; Transport engineering; Engineering","score_opus":0.008798743695231374,"score_gpt":0.2547034365941058,"score_spread":0.24590469289887446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135474056","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9860795,0.004768504,0.000034697783,0.008142526,0.000136005,0.00013430964,3.7166407e-7,0.0000044882786,0.0006995594],"genre_scores_gemma":[0.99861884,0.0009565177,0.000073779745,0.00024143138,0.000080720994,0.0000029714463,2.7678303e-7,0.000002539226,0.000022939525],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988213,0.00033378293,0.00036253373,0.00009547493,0.00013800694,0.00024887078],"domain_scores_gemma":[0.9992981,0.00020198451,0.00023735386,0.000068831665,0.00009341244,0.000100329315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008881745,0.00007566616,0.00024018381,0.00021287097,0.00029774298,0.00004896502,0.00017255475,0.00007865153,0.00004660159],"category_scores_gemma":[0.00007157684,0.000048068767,0.0000909048,0.00028658926,0.0010082056,0.00021334908,0.000026709815,0.00023805385,3.073465e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004700929,0.000040611976,0.9932445,0.0000031698553,0.000019632142,0.000009765005,0.0020958825,7.582892e-8,0.0000029314851,0.003618195,0.000044103086,0.0008740935],"study_design_scores_gemma":[0.00092178263,0.00006487431,0.9711596,0.000011168412,0.000024316514,0.0000105590225,0.0048907925,0.0000013902777,0.00000529837,0.02275414,0.000102055696,0.000054038606],"about_ca_topic_score_codex":0.02117788,"about_ca_topic_score_gemma":0.002753473,"teacher_disagreement_score":0.022084948,"about_ca_system_score_codex":0.000013955423,"about_ca_system_score_gemma":0.000029498531,"threshold_uncertainty_score":0.9853402},"labels":[],"label_agreement":null},{"id":"W2135510157","doi":"10.1016/j.jtrangeo.2004.07.007","title":"Travel behavior within Canada’s older population: a cohort analysis","year":2004,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":226,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"","keywords":"TRIPS architecture; Population; Population ageing; Travel behavior; Cohort; Poison control; Pension; Suicide prevention; Injury prevention; Gerontology; Geography; Demography; Demographic economics; Medicine; Business; Environmental health; Economics; Transport engineering; Engineering; Sociology; Finance","score_opus":0.009109665167925482,"score_gpt":0.26037976530857043,"score_spread":0.25127010014064494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135510157","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99680907,0.00020985464,0.0009085362,0.00060085556,0.00047315634,0.00020774885,0.00003621113,0.000016373804,0.0007382034],"genre_scores_gemma":[0.9988558,0.000034983317,0.0006829542,0.00012865942,0.00019449834,0.000004649462,0.000032586333,0.000010093966,0.000055739965],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973611,0.000044147113,0.0009070022,0.00021290092,0.0011566447,0.00031818813],"domain_scores_gemma":[0.99866825,0.000017529774,0.00049777393,0.00018341481,0.0002999236,0.00033308455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090219383,0.00016422916,0.0005068709,0.00045305263,0.0003478517,0.000034953333,0.00037645048,0.00011721406,0.0003303052],"category_scores_gemma":[0.000007813932,0.00014472581,0.0007642442,0.0016142824,0.00016333038,0.00041153238,0.0000018992289,0.00029714688,3.711606e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027512271,0.0001805099,0.99688697,0.0000072442217,0.00047291807,0.0001610676,0.0015028232,0.00046610224,0.0000073970973,0.00013572008,0.000020037254,0.0001317083],"study_design_scores_gemma":[0.0005074951,0.000028114853,0.9957201,0.000021176773,0.0023677303,0.000002304533,0.0006413236,4.974267e-7,0.000034224235,0.0002774616,0.000224788,0.0001747777],"about_ca_topic_score_codex":0.80603147,"about_ca_topic_score_gemma":0.9610863,"teacher_disagreement_score":0.15505482,"about_ca_system_score_codex":0.00014935917,"about_ca_system_score_gemma":0.0011221647,"threshold_uncertainty_score":0.59017473},"labels":[],"label_agreement":null},{"id":"W2137027830","doi":"10.1016/j.jcjd.2013.03.156","title":"Bicycle Ownership and its Association With Physical Activity, Sitting and Obesity in The Prospective Urban Rural Epidemiology (PURE) Study Vancouver Cohort","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Diabetes","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Medicine; Waist; Sitting; Obesity; Body mass index; Recreation; Confounding; Cohort; Car ownership; Marital status; Demography; Environmental health; Public transport; Population; Transport engineering","score_opus":0.01665963614369768,"score_gpt":0.2641556710658973,"score_spread":0.24749603492219965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137027830","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980927,0.00012753904,4.2701956e-7,0.001012299,0.00006944887,0.00042190638,0.00000276138,0.0000030907977,0.00026984626],"genre_scores_gemma":[0.9996702,0.0000011627294,0.0000061288633,0.00007667411,0.00018660694,0.000008754344,2.2377482e-7,0.0000040447067,0.000046214274],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987378,0.00049851864,0.00015055735,0.000117688825,0.00016484466,0.00033060068],"domain_scores_gemma":[0.9987237,0.00063046446,0.00022983663,0.00005290466,0.00014026201,0.0002228297],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020580813,0.00008336045,0.00026360888,0.00006753712,0.00033048255,0.00007171353,0.0001361783,0.000057420086,0.000013714775],"category_scores_gemma":[0.00063277525,0.000052287854,0.000029162231,0.00018287433,0.0001524718,0.00053527317,0.0000052198975,0.0002952978,6.5015723e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000015456849,0.000054685686,0.9845236,0.000004190731,0.000033921235,0.0000019076117,0.014872747,0.0000018136041,0.0000078375015,0.00003083771,0.00014413334,0.00032275837],"study_design_scores_gemma":[0.0002403302,0.00012508157,0.9894633,0.000018124372,0.000039825627,7.782195e-8,0.008799741,0.000038475195,0.000011583925,0.0011819636,0.000011099696,0.00007034184],"about_ca_topic_score_codex":0.014306301,"about_ca_topic_score_gemma":0.3356661,"teacher_disagreement_score":0.32135978,"about_ca_system_score_codex":0.00021102949,"about_ca_system_score_gemma":0.00026067154,"threshold_uncertainty_score":0.99225754},"labels":[],"label_agreement":null},{"id":"W2137036611","doi":"10.1016/j.socscimed.2011.12.039","title":"A photovoice documentation of the role of neighborhood physical and social environments in older adults’ physical activity in two metropolitan areas in North America","year":2012,"lang":"en","type":"article","venue":"Social Science & Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":205,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"National Institute on Aging; Canadian Institutes of Health Research","keywords":"Photovoice; Feeling; Metropolitan area; Gerontology; Context (archaeology); Built environment; Psychology; Social environment; Qualitative research; Sociology; Social psychology; Medicine; Geography; Social science","score_opus":0.00996600041037661,"score_gpt":0.3217366244238872,"score_spread":0.3117706240135106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137036611","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968774,0.000032690943,0.0000038829357,0.0003419233,0.00005767986,0.00031601274,0.000005895281,0.0000036488345,0.0023608757],"genre_scores_gemma":[0.9996723,0.0000038394,0.0000020269824,0.00004185303,0.00025642343,0.000014195321,0.0000014430758,0.0000035898229,0.0000043613336],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982057,0.00016911411,0.00020098513,0.00022874417,0.000799579,0.00039583168],"domain_scores_gemma":[0.9995575,0.00008144992,0.00018949638,0.00008014589,0.000020895683,0.000070492315],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00063242065,0.000099777535,0.00030405165,0.00009475849,0.00019967795,0.0000068052664,0.00027690746,0.000030881027,0.000020633168],"category_scores_gemma":[0.000085944834,0.00007402935,0.000045956745,0.0015081838,0.0032737716,0.00063359743,0.000041383482,0.00018479124,3.9684778e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025739038,0.0005152469,0.7901241,0.0000066908233,0.0000014712656,1.4680631e-7,0.19688585,1.9271384e-7,0.0041265185,0.0008035644,6.673451e-7,0.007509779],"study_design_scores_gemma":[0.0007857269,0.00002170039,0.9574616,0.000020444662,0.00001103871,1.2092546e-8,0.03943692,0.000041623556,0.0011750119,0.0009579224,0.000021104515,0.00006690874],"about_ca_topic_score_codex":0.027984452,"about_ca_topic_score_gemma":0.011990264,"teacher_disagreement_score":0.16733745,"about_ca_system_score_codex":0.00036322838,"about_ca_system_score_gemma":0.00011170469,"threshold_uncertainty_score":0.99943876},"labels":[],"label_agreement":null},{"id":"W2137067883","doi":"","title":"Financing public transport: case studies of international and Australian cities","year":2013,"lang":"en","type":"article","venue":"Transport Research Forum","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Public transport; Business; Government (linguistics); Public sector; Corporate governance; Negotiation; Subsidy; Economic growth; Finance; Economics; Political science; Economy","score_opus":0.16339612967108752,"score_gpt":0.4281141235402344,"score_spread":0.2647179938691469,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137067883","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98235625,0.0005151186,0.00003261133,0.010186943,0.00017177429,0.00050997984,0.000050970426,0.0000528352,0.0061235055],"genre_scores_gemma":[0.99378693,0.0005538772,0.0001817787,0.000029039207,0.000093359326,0.00007086607,0.000021808068,0.0000124985745,0.005249834],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974136,0.000105355575,0.00046060784,0.00034683646,0.0008967552,0.0007768587],"domain_scores_gemma":[0.9985725,0.0001686906,0.00006920775,0.00020781727,0.0007391046,0.00024266228],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0018761251,0.00013935365,0.00028697835,0.00026528406,0.00069100957,0.000051749357,0.00037638398,0.00011859478,0.0012386629],"category_scores_gemma":[0.00008654587,0.00012433015,0.00010559874,0.00046427993,0.0020606928,0.0010651757,0.000017162538,0.0003462061,0.000010861955],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019962401,0.00008651614,0.9712704,0.00012547907,0.00007546265,0.00029835588,0.016877946,8.9002384e-7,0.00013744639,0.0063218176,0.0006883299,0.0040974114],"study_design_scores_gemma":[0.00084520114,0.0001623229,0.78893316,0.00015299662,0.000036789792,0.000021945196,0.15199296,0.0000120538025,0.0008132226,0.014811824,0.041801263,0.00041626842],"about_ca_topic_score_codex":0.020826826,"about_ca_topic_score_gemma":0.0430556,"teacher_disagreement_score":0.18233722,"about_ca_system_score_codex":0.000077840996,"about_ca_system_score_gemma":0.00026248826,"threshold_uncertainty_score":0.9996743},"labels":[],"label_agreement":null},{"id":"W2137620133","doi":"10.1016/s1499-2671(11)52072-6","title":"Active transportation environments surrounding Canadian schools","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Diabetes","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Queen's University","funders":"","keywords":"Medicine; Physical activity; Cycling; Environmental planning; Transport engineering; Environmental health; Geography; Physical medicine and rehabilitation; Forestry; Engineering","score_opus":0.028989445221608793,"score_gpt":0.24081733146821283,"score_spread":0.21182788624660404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137620133","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9906945,0.00020382843,0.0000089391915,0.00028591478,0.00046359067,0.00009228055,0.00005876456,0.000003520491,0.008188666],"genre_scores_gemma":[0.9993901,0.00000569098,0.00011552651,0.0001398785,0.0001482877,0.0000016245667,0.000007713164,0.000009719978,0.00018140879],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988636,0.00006646697,0.00026995433,0.000108791384,0.00018623103,0.00050500233],"domain_scores_gemma":[0.9981415,0.000023727149,0.00015783541,0.0000846891,0.00006747456,0.0015247588],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00046986892,0.00009126354,0.00015918745,0.00027679003,0.00044851736,0.00005722299,0.00030293208,0.00009538114,0.0013046319],"category_scores_gemma":[0.00007640206,0.00009380883,0.000095393894,0.00019092948,0.00018224686,0.00075269135,5.185146e-7,0.0002232601,0.000018730696],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000011253684,0.0000066577504,0.9885363,0.00000272284,0.000028162987,0.000016578348,0.008743936,8.1132856e-7,0.000035435594,0.00036041232,0.00018033208,0.002087539],"study_design_scores_gemma":[0.00013515924,0.000028151853,0.981383,0.000033457218,0.000035787314,5.2939853e-8,0.00304655,3.7448982e-7,0.0004406046,0.0016061272,0.013177424,0.000113296235],"about_ca_topic_score_codex":0.5881942,"about_ca_topic_score_gemma":0.98639417,"teacher_disagreement_score":0.39819995,"about_ca_system_score_codex":0.0005167482,"about_ca_system_score_gemma":0.0028018297,"threshold_uncertainty_score":0.99960834},"labels":[],"label_agreement":null},{"id":"W2137713185","doi":"10.1525/sop.2007.50.2.177","title":"Disparities in Free Time Inactivity in the United States: Trends and Explanations","year":2007,"lang":"en","type":"article","venue":"Sociological Perspectives","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Socioeconomic status; Recreation; Demographic economics; Disinvestment; Incentive; Free access; Economics; Demography; Political science; Sociology; Population","score_opus":0.037897974333536345,"score_gpt":0.3422447704083223,"score_spread":0.30434679607478593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137713185","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96977776,0.00071893976,0.000038482332,0.013399842,0.000021499234,0.000085987784,0.00001554715,0.000032894925,0.015909022],"genre_scores_gemma":[0.999202,0.0002109644,0.000036431167,0.00015584483,0.000065562584,0.000008643636,0.000014311436,0.0000019449326,0.00030427513],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989724,0.0003234281,0.00012179788,0.00018806946,0.00014125058,0.0002530098],"domain_scores_gemma":[0.99902624,0.0007903656,0.000028734028,0.0000902502,0.000027759503,0.000036658454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013196892,0.000070118556,0.00012288774,0.0001258265,0.00023968017,0.000033336062,0.0001976775,0.000117736556,0.00016019406],"category_scores_gemma":[0.00033416165,0.000047010744,0.000032434353,0.0004539669,0.0012225582,0.00019415625,0.000018042705,0.00027597844,0.0000016590507],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029600618,0.00028434308,0.78260255,0.0000022197414,0.000004966732,0.000013559847,0.16873123,0.0000032488158,0.000005718545,0.04726104,0.00045844328,0.0006031129],"study_design_scores_gemma":[0.00014874226,0.000022447055,0.8044605,0.0000029900207,0.000002096983,7.571068e-8,0.12878984,0.000009376132,7.04198e-7,0.06603409,0.0004707774,0.000058321246],"about_ca_topic_score_codex":0.012794138,"about_ca_topic_score_gemma":0.01962996,"teacher_disagreement_score":0.039941374,"about_ca_system_score_codex":0.00013262822,"about_ca_system_score_gemma":0.000019569914,"threshold_uncertainty_score":0.99825925},"labels":[],"label_agreement":null},{"id":"W2137738240","doi":"10.1186/1476-072x-7-16","title":"Mapping the evolution of 'food deserts' in a Canadian city: Supermarket accessibility in London, Ontario, 1961–2005","year":2008,"lang":"en","type":"article","venue":"International Journal of Health Geographics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":437,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University","funders":"","keywords":"Socioeconomic status; Disadvantaged; Geography; Public health; Neighbourhood (mathematics); Environmental health; City region; Suburbanization; Health geography; Socioeconomics; Economic growth; Health policy; Population; Medicine; Sociology; International health; Economy","score_opus":0.0450877088100779,"score_gpt":0.31584749137488766,"score_spread":0.27075978256480976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137738240","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.990529,0.0017043967,0.00010071003,0.0059781536,0.0005794737,0.00021473526,0.000018320945,0.0000041024055,0.0008710847],"genre_scores_gemma":[0.99892026,0.0005132168,0.00009169398,0.00032544468,0.00011098601,0.0000033398742,0.0000043918826,0.0000044080757,0.000026262418],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99708694,0.00037757595,0.0011053965,0.00015333325,0.00084107707,0.00043567028],"domain_scores_gemma":[0.99846333,0.00016528918,0.00051510514,0.0001312647,0.00050479005,0.00022024466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005446985,0.00009666954,0.00026871337,0.00091376435,0.0002474168,0.000029794628,0.0008062124,0.000100633995,0.00013986221],"category_scores_gemma":[0.00021198286,0.00007983356,0.00014328066,0.0006297144,0.0003503615,0.00062607846,0.000022653216,0.0005562258,2.9007958e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049544047,0.00012396793,0.985699,0.000010166581,0.000023148328,0.000024662606,0.012677396,0.000029828467,0.0000014135361,0.00052496325,0.00006837695,0.0007675211],"study_design_scores_gemma":[0.00045676858,0.00003439705,0.98777485,0.00012055978,0.0000023535338,0.000008031132,0.0018067932,0.00003420906,0.000002002064,0.006058824,0.0036353576,0.00006584068],"about_ca_topic_score_codex":0.96793085,"about_ca_topic_score_gemma":0.9989782,"teacher_disagreement_score":0.031047357,"about_ca_system_score_codex":0.0023442302,"about_ca_system_score_gemma":0.008925451,"threshold_uncertainty_score":0.996693},"labels":[],"label_agreement":null},{"id":"W2137793029","doi":"10.3141/2231-08","title":"Barriers to Teenage Mobility in the Greater Toronto Area, Ontario, Canada","year":2011,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Respondent; Travel behavior; Travel survey; Mode choice; Perception; Marketing; Qualitative property; Data collection; Psychology; Transport engineering; Geography; Business; Sociology; Public transport; Engineering; Political science; Computer science","score_opus":0.11453646278822498,"score_gpt":0.3717977296300449,"score_spread":0.25726126684181994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137793029","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9899101,0.000090676236,0.000079821846,0.0032707613,0.00047401627,0.0015657002,0.00005095858,0.000013611988,0.0045443256],"genre_scores_gemma":[0.9976708,0.00009928116,0.00029550106,0.00023614171,0.00011975213,0.00011234708,0.0000059948597,0.000023974944,0.001436194],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9899163,0.002178522,0.0013225888,0.0004796717,0.004887912,0.0012149637],"domain_scores_gemma":[0.99551,0.0006680684,0.00025740862,0.00065677933,0.0020570033,0.00085076626],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0105102295,0.00023901087,0.0004130853,0.00032133266,0.0012932504,0.0001350525,0.002414767,0.00017856497,0.0057488647],"category_scores_gemma":[0.0003257668,0.00015464905,0.00029659845,0.0017915835,0.00083003036,0.0009351771,0.00000656713,0.0019617176,0.0000059213958],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008329235,0.00014235912,0.9040759,0.00003726438,0.000039066454,0.00014820605,0.08764842,0.00003383529,0.000055153934,0.00072038313,0.0056468276,0.00061963126],"study_design_scores_gemma":[0.0005432514,0.00020843129,0.9363989,0.00010268293,0.000025380916,5.9558662e-8,0.033637468,0.0000020334116,0.00012970797,0.0012889473,0.027499776,0.00016331524],"about_ca_topic_score_codex":0.9979105,"about_ca_topic_score_gemma":0.9999678,"teacher_disagreement_score":0.054010954,"about_ca_system_score_codex":0.0018756427,"about_ca_system_score_gemma":0.0064101536,"threshold_uncertainty_score":0.9992226},"labels":[],"label_agreement":null},{"id":"W2137922098","doi":"","title":"How dense are we? Another look at urban density and transport patterns in Australia, Canada and the USA","year":2009,"lang":"en","type":"article","venue":"RMIT Research Repository (RMIT University Library)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Public transport; Census; Geography; Work (physics); Regional science; Transport policy; Economic geography; Urban density; Urban planning; Transport engineering; Sociology; Population; Demography; Engineering","score_opus":0.03447848292576051,"score_gpt":0.2566104776672892,"score_spread":0.22213199474152873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137922098","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9872541,0.00022280113,0.000004244874,0.008423295,0.00005829382,0.0004229094,0.000017103974,0.00003249652,0.0035647622],"genre_scores_gemma":[0.876328,0.00021257481,0.00001255139,0.00008449677,0.000087539986,7.276805e-7,0.0000040270065,0.0000073707015,0.123262696],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99738145,0.0006872684,0.00015276682,0.0005001705,0.0007080444,0.0005703077],"domain_scores_gemma":[0.9990158,0.00021867918,0.00007516171,0.00032319478,0.00007031128,0.00029684507],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049397413,0.00016169145,0.0002613999,0.00013345073,0.0011601526,0.00018411792,0.00048312085,0.00015422986,0.00008090086],"category_scores_gemma":[0.00001919763,0.00013911756,0.000066491484,0.00043157136,0.001072948,0.0011298571,0.000075636344,0.00048711096,9.945737e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027116886,0.000041315743,0.9921244,0.000026858379,0.000014911305,0.001072709,0.0021741157,3.967117e-7,0.000051693354,0.0004897532,0.003617217,0.00011546333],"study_design_scores_gemma":[0.0007774512,0.000026945767,0.9701065,0.00004906511,0.000016608421,0.0000025953807,0.0020570809,0.0000045375914,0.00066237024,0.00018414632,0.025943097,0.00016963998],"about_ca_topic_score_codex":0.6906001,"about_ca_topic_score_gemma":0.951008,"teacher_disagreement_score":0.26040792,"about_ca_system_score_codex":0.00028790793,"about_ca_system_score_gemma":0.0005328856,"threshold_uncertainty_score":0.89230734},"labels":[],"label_agreement":null},{"id":"W2138021975","doi":"10.7202/1027725ar","title":"Lorsque le Sud innove en matière durable. Le projet de transport en commun d’Amman","year":2014,"lang":"fr","type":"article","venue":"Environnement urbain","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Art","score_opus":0.011079289719210022,"score_gpt":0.23918118976397093,"score_spread":0.2281019000447609,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138021975","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82604563,0.002167743,0.0057563446,0.05776914,0.0007978147,0.0012267369,0.000118447264,0.00017399897,0.10594413],"genre_scores_gemma":[0.9344708,0.00015261974,0.0014289671,0.000694609,0.0008892937,0.000085477426,0.00015982526,0.00005774016,0.062060688],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99528617,0.0014862309,0.00082596985,0.00068025856,0.0006250503,0.0010963065],"domain_scores_gemma":[0.99837774,0.0002910708,0.0002532051,0.0007412234,0.00003482605,0.0003019257],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0040710857,0.00046223067,0.0005526389,0.00009708267,0.00093485456,0.00008811236,0.001077203,0.00046325222,0.0026765184],"category_scores_gemma":[0.00006311568,0.00050377747,0.00026120598,0.00045372912,0.0010255725,0.0007201148,0.00007662947,0.000689303,0.0002788851],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007775635,0.0025064172,0.6462769,0.0005318925,0.00019369701,0.00004192737,0.05525604,0.00020601833,0.0009817262,0.26604426,0.007839482,0.020043857],"study_design_scores_gemma":[0.0013025125,0.00014920182,0.1962619,0.00013842438,0.00010827559,0.0000010400169,0.0036819219,0.00032766303,0.00072022894,0.0067285434,0.78993315,0.0006471519],"about_ca_topic_score_codex":0.03931194,"about_ca_topic_score_gemma":0.032727066,"teacher_disagreement_score":0.78209364,"about_ca_system_score_codex":0.00050474145,"about_ca_system_score_gemma":0.00044355192,"threshold_uncertainty_score":0.9997414},"labels":[],"label_agreement":null},{"id":"W2138280582","doi":"10.1186/1476-072x-12-40","title":"Examining the spatial congruence between data obtained with a novel activity location questionnaire, continuous GPS tracking, and prompted recall surveys","year":2013,"lang":"en","type":"article","venue":"International Journal of Health Geographics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":57,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; Université de Montréal","funders":"Canadian Institutes of Health Research; Public Health Agency; Public Health Agency of Canada","keywords":"Global Positioning System; Recall; Data collection; Computer science; Face validity; Applied psychology; Content validity; Psychology; Statistics; Psychometrics; Mathematics","score_opus":0.07767706154244113,"score_gpt":0.3524013342666363,"score_spread":0.27472427272419514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138280582","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9305704,0.00028211615,0.059136536,0.009219662,0.00034316268,0.00034379328,0.000037498612,0.000019341118,0.000047482295],"genre_scores_gemma":[0.99880683,0.00014058486,0.00044297482,0.00018128839,0.0003756009,0.0000050437575,0.000027514026,0.000007535359,0.000012645062],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975941,0.0006000191,0.0005345309,0.0002169446,0.0008295653,0.00022483473],"domain_scores_gemma":[0.9967104,0.0003899928,0.0009239051,0.00019514497,0.0016370825,0.00014344612],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006459469,0.000108667395,0.00023100109,0.00013360132,0.00038654503,0.00025516495,0.0007434312,0.00007240769,0.000017699987],"category_scores_gemma":[0.0005858874,0.00007463013,0.000027302074,0.00028689852,0.00048188993,0.0011250512,0.000047435096,0.00038050968,5.4926227e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023927696,0.00007935502,0.9135493,0.000012789231,0.00006627543,0.0000021299688,0.00097027334,0.000005448789,0.000011989215,0.000079792975,0.000043000764,0.08515569],"study_design_scores_gemma":[0.00048704725,0.00012978395,0.9977082,0.00019212834,0.000019893003,0.000005874109,0.00038996091,0.00020138697,0.0000056642184,0.00032419775,0.00045241223,0.00008342446],"about_ca_topic_score_codex":0.04382875,"about_ca_topic_score_gemma":0.016323796,"teacher_disagreement_score":0.085072264,"about_ca_system_score_codex":0.0000698284,"about_ca_system_score_gemma":0.00076176395,"threshold_uncertainty_score":0.9625385},"labels":[],"label_agreement":null},{"id":"W2138909646","doi":"10.1287/trsc.2015.0595","title":"Maximal Accessibility Network Design in the Public Sector","year":2015,"lang":"en","type":"article","venue":"Transportation Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University; University of Toronto","funders":"","keywords":"Network planning and design; Public sector; Computer science; Operations research; Proxy (statistics); Service (business); Mathematical optimization; Flow network; Transport engineering; Business; Engineering; Economics; Computer network; Marketing; Mathematics","score_opus":0.14361108653116775,"score_gpt":0.3590568582727662,"score_spread":0.21544577174159843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138909646","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.975459,0.00008568934,0.015806695,0.0022110327,0.0004083088,0.0005200681,0.000004998914,0.00008128379,0.005422967],"genre_scores_gemma":[0.9974603,0.0000049165756,0.0019808884,0.00031636667,0.00013796998,0.00003233588,0.0000067367914,0.0000042674883,0.00005619946],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99706,0.00029284877,0.00035085535,0.0004294047,0.0012938562,0.0005730184],"domain_scores_gemma":[0.99892086,0.0001608131,0.00010276531,0.0003078061,0.00027878355,0.00022898935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011034911,0.00010383617,0.00012969978,0.00009062098,0.0006225307,0.00031389238,0.0012753957,0.000060737268,0.00015155107],"category_scores_gemma":[0.00023609339,0.00007551986,0.000045032823,0.0031615384,0.0013458595,0.0020703005,0.0000038339144,0.00016962375,0.000018892695],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034022163,0.000098349265,0.959247,0.0000041968824,0.0000012244636,0.000010168803,0.025498755,0.00037175283,0.00003212051,0.013008776,0.00026947944,0.001424149],"study_design_scores_gemma":[0.00024615056,0.000022590833,0.97920763,0.0000054566835,0.000005540655,1.1616871e-7,0.0035351624,0.00014481609,0.00003865768,0.013945243,0.0027249434,0.0001237144],"about_ca_topic_score_codex":0.001124673,"about_ca_topic_score_gemma":0.017823467,"teacher_disagreement_score":0.022001363,"about_ca_system_score_codex":0.00012642903,"about_ca_system_score_gemma":0.0015586287,"threshold_uncertainty_score":0.9945913},"labels":[],"label_agreement":null},{"id":"W2139161889","doi":"10.1016/j.amepre.2012.02.006","title":"Objective Assessment of Obesogenic Environments in Youth","year":2012,"lang":"en","type":"article","venue":"American Journal of Preventive Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":99,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Center for Research Resources; National Institute of Environmental Health Sciences","keywords":"Walkability; Built environment; Environmental health; Physical activity; Geography; Level design; Block (permutation group theory); Gerontology; Medicine; Ecology; Computer science; Multimedia; Physical medicine and rehabilitation; Mathematics","score_opus":0.02080640625433477,"score_gpt":0.3478178843975702,"score_spread":0.32701147814323545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139161889","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99285644,0.00055699894,0.0015515573,0.00019916432,0.00024592067,0.00012030023,0.000004153009,0.0000018280432,0.0044636633],"genre_scores_gemma":[0.9989546,0.00014059333,0.00043261945,0.000038570033,0.00029070355,0.000001181727,0.0000015716453,0.0000053333124,0.000134842],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99818105,0.00041830287,0.00052182423,0.0000864955,0.0005507233,0.00024162981],"domain_scores_gemma":[0.99879456,0.00012223989,0.0007788769,0.00009114681,0.000054642067,0.00015852785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002267322,0.000085255924,0.0004155812,0.00014099777,0.000044206237,0.000002029591,0.00021069517,0.000021587359,0.0003007257],"category_scores_gemma":[0.00011728348,0.00006371656,0.000095374875,0.00036925776,0.0010529743,0.0002788772,0.000014566483,0.0001988179,9.4300475e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029776062,0.0002718304,0.95543486,0.0000033093327,0.000053636075,0.0000027666586,0.034867898,0.0000015899766,0.00043708898,0.00011460546,0.000011234051,0.008771424],"study_design_scores_gemma":[0.0005323816,0.0003897035,0.95102733,0.00011245678,0.00009129861,5.5234926e-7,0.04714912,6.624867e-7,0.00015578732,0.00022522105,0.00025819193,0.000057314377],"about_ca_topic_score_codex":0.0014254727,"about_ca_topic_score_gemma":0.00016645873,"teacher_disagreement_score":0.012281227,"about_ca_system_score_codex":0.00018871452,"about_ca_system_score_gemma":0.00013378295,"threshold_uncertainty_score":0.38797277},"labels":[],"label_agreement":null},{"id":"W2139286684","doi":"10.2139/ssrn.1743631","title":"Measuring the Transportation Needs of People with Developmental Disabilities","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Psychology; Business; Developmental psychology","score_opus":0.011109405113398635,"score_gpt":0.22635066756678765,"score_spread":0.215241262453389,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139286684","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99389005,0.00038604368,0.0013915187,0.00044444267,0.000043383436,0.00010587658,0.000001853815,0.000016579286,0.0037202379],"genre_scores_gemma":[0.99885607,0.000092874594,0.00004456,0.0000068008744,0.00013562315,0.000004034725,0.0000033493518,0.0000066755297,0.0008499891],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984803,0.00005700877,0.00022777099,0.00006687378,0.0003695124,0.0007985171],"domain_scores_gemma":[0.999685,0.000055321627,0.00010080723,0.000053364878,0.000078537254,0.000026954911],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011542736,0.00007446462,0.00010660613,0.000039758976,0.00049064524,0.0000338092,0.00020917223,0.000032031832,0.000056398123],"category_scores_gemma":[0.000014755768,0.00004711691,0.000061986306,0.00030564412,0.00023027058,0.0002632107,0.0000015672161,0.0003942878,0.0000015483973],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039147624,0.000046676425,0.90741485,0.000005419645,0.00002755138,1.6319537e-7,0.017078713,0.000027961636,0.000060189584,0.0743188,0.000008193901,0.0009723527],"study_design_scores_gemma":[0.00040649864,0.000073516574,0.65498364,0.0000202209,0.0000510508,0.00000548259,0.24241804,0.0000015672473,0.00029219314,0.10102046,0.0005819862,0.00014533484],"about_ca_topic_score_codex":0.00883026,"about_ca_topic_score_gemma":0.35887292,"teacher_disagreement_score":0.35004264,"about_ca_system_score_codex":0.0003694469,"about_ca_system_score_gemma":0.0017462577,"threshold_uncertainty_score":0.99777},"labels":[],"label_agreement":null},{"id":"W2139392080","doi":"10.1177/0042098009353626","title":"Relative Accessibility Deprivation Indicators for Urban Settings: Definitions and Application to Food Deserts in Montreal","year":2010,"lang":"en","type":"article","venue":"Urban Studies","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":262,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal; University of Toronto; McMaster University","funders":"","keywords":"Context (archaeology); Geography; Multivariate statistics; Social exclusion; Regional science; Econometrics; Transport engineering; Statistics; Economics; Mathematics; Economic growth; Engineering","score_opus":0.04067766182908306,"score_gpt":0.32757069083062484,"score_spread":0.2868930290015418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139392080","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99354887,0.00039553584,0.0010444104,0.0013020498,0.00011202944,0.0011062984,0.00004278698,0.00007060724,0.00237739],"genre_scores_gemma":[0.9976926,0.000028140112,0.00141775,0.00012704941,0.00013886868,0.0004874286,0.000019035127,0.000008447093,0.000080725105],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987807,0.00005315032,0.0003040869,0.00042346478,0.0001755086,0.0002630728],"domain_scores_gemma":[0.9990262,0.0004167096,0.00012551465,0.00018992672,0.00014079217,0.00010087713],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076635915,0.00012417206,0.0002114002,0.00015282955,0.0006380259,0.000045844678,0.00016428417,0.00010998966,0.0000064249316],"category_scores_gemma":[0.0009374018,0.000116558454,0.00004402089,0.0005411985,0.00033082513,0.00043091644,0.000046267545,0.00016389089,0.0000030582394],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002175634,0.000072975454,0.9563643,0.00002476153,0.000024753099,1.554799e-7,0.027348213,4.07149e-7,0.00007795411,0.010478765,0.00074900786,0.004836986],"study_design_scores_gemma":[0.00028088214,0.000043349846,0.9408528,0.00001633159,0.000027643895,3.215347e-8,0.0034023717,0.000008732167,0.00017461467,0.052691437,0.0023600743,0.00014171629],"about_ca_topic_score_codex":0.00052198226,"about_ca_topic_score_gemma":0.07787353,"teacher_disagreement_score":0.07735155,"about_ca_system_score_codex":0.00008102196,"about_ca_system_score_gemma":0.000056248216,"threshold_uncertainty_score":0.93895286},"labels":[],"label_agreement":null},{"id":"W2139448890","doi":"10.5888/pcd13.150406","title":"Physical Activity–Related Policy and Environmental Strategies to Prevent Obesity in Rural Communities: A Systematic Review of the Literature, 2002–2013","year":2015,"lang":"en","type":"review","venue":"Preventing Chronic Disease","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":105,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Centers for Disease Control and Prevention; National Center for Chronic Disease Prevention and Health Promotion; National Heart, Lung, and Blood Institute; Children's Mercy Hospital; University of Illinois at Urbana-Champaign; Baylor University","keywords":"Medicine; Health promotion; Public health; Disease; Chronic disease; Promotion (chess); Alternative medicine; Peer review; MEDLINE; Health policy; Environmental health; Gerontology; Family medicine; Nursing; Pathology","score_opus":0.02295979779228163,"score_gpt":0.3481124887242118,"score_spread":0.32515269093193017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139448890","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027120303,0.968067,4.894713e-7,0.00006633252,0.00006415154,0.004240405,0.0001767725,0.000023757288,0.00024076927],"genre_scores_gemma":[0.12604691,0.8727778,0.0000014552737,0.000014458053,0.000096027856,0.00022474825,0.000058295853,0.000020732006,0.00075956347],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9962093,0.0019782356,0.00065488974,0.00023665895,0.0005363325,0.00038454428],"domain_scores_gemma":[0.99822825,0.00017953708,0.00063782913,0.0006629646,0.000029436786,0.00026197202],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012414004,0.00035600568,0.0015864737,0.00012529582,0.00020655585,0.00011937861,0.00079222466,0.00011910277,0.000044739372],"category_scores_gemma":[0.00017186668,0.0002439604,0.00054241327,0.0007562418,0.00028805758,0.00037700625,0.00027104968,0.00044052053,0.000007948169],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000026376724,0.0006902079,0.00018562448,0.98274726,0.00009115661,0.000002786557,0.004950498,9.872591e-7,6.620816e-8,0.00028898777,0.000035911235,0.011003891],"study_design_scores_gemma":[0.00013230846,0.000019447041,0.0005222613,0.9892851,0.0016176875,7.128599e-7,0.0010380215,0.000011407338,1.1052955e-7,0.00051712064,0.0065184007,0.00033743572],"about_ca_topic_score_codex":0.0013640097,"about_ca_topic_score_gemma":0.0007986436,"teacher_disagreement_score":0.098926604,"about_ca_system_score_codex":0.00074430293,"about_ca_system_score_gemma":0.0023083389,"threshold_uncertainty_score":0.99484164},"labels":[],"label_agreement":null},{"id":"W2139767097","doi":"10.1016/j.amepre.2006.08.027","title":"Utilitarian Bicycling","year":2006,"lang":"en","type":"article","venue":"American Journal of Preventive Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":191,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Confidence interval; Demography; Odds ratio; Cycling; Odds; Logistic regression; Population; Environmental health; Community health; Household income; Gerontology; Geography; Public health; Medicine; Psychology; Sociology","score_opus":0.013462898402178444,"score_gpt":0.3255545412729101,"score_spread":0.31209164287073166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139767097","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9670927,0.00067149417,0.0038992628,0.003880912,0.00040757802,0.00007607887,0.000001244972,0.000012827347,0.02395792],"genre_scores_gemma":[0.99658877,0.000035178713,0.00075733644,0.000105896455,0.0014350835,5.959294e-7,0.000001252264,0.000005764219,0.0010701409],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99851763,0.0002298822,0.00048701797,0.00010566489,0.0004515164,0.00020831206],"domain_scores_gemma":[0.9988662,0.00016544093,0.00053644046,0.00008959131,0.00022397532,0.000118324635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016113389,0.00008023633,0.00032657458,0.00011786258,0.00015583096,0.000009088237,0.00024914008,0.000019605171,0.0005360054],"category_scores_gemma":[0.00019377744,0.00005841021,0.00011014512,0.0004422355,0.0014034694,0.00019985808,0.0000073888655,0.00017447968,0.0000038433736],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009105822,0.0001721654,0.8994891,0.0000080205355,0.000061492676,0.000065034044,0.007373403,0.000003892318,0.0004445594,0.002774954,0.0022052238,0.087311104],"study_design_scores_gemma":[0.00075770874,0.0005754829,0.9232566,0.00020031839,0.00013138776,0.0000039850156,0.016487716,0.000003182012,0.00008687807,0.016564101,0.04179537,0.00013731612],"about_ca_topic_score_codex":0.0075379284,"about_ca_topic_score_gemma":0.0011855058,"teacher_disagreement_score":0.08717379,"about_ca_system_score_codex":0.000065179556,"about_ca_system_score_gemma":0.00014419829,"threshold_uncertainty_score":0.99907094},"labels":[],"label_agreement":null},{"id":"W2139897526","doi":"10.1186/1479-5868-10-66","title":"The potential modal shift and health benefits of implementing a public bicycle share program in Montreal, Canada","year":2013,"lang":"en","type":"article","venue":"International Journal of Behavioral Nutrition and Physical Activity","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":95,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; Saskatchewan Health Authority; Université de Montréal; University of Saskatchewan; Saskatchewan Health","funders":"Canadian Institutes of Health Research","keywords":"Modal shift; Public transport; TRIPS architecture; Public health; Promotion (chess); Sample (material); Health promotion; Behavioural sciences; Transport engineering; Poison control; Psychology; Environmental health; Gerontology; Medicine; Engineering; Political science","score_opus":0.04187736498417543,"score_gpt":0.3638676306966706,"score_spread":0.32199026571249517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139897526","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99035907,0.0000993275,0.000006010437,0.0091815395,0.00007859576,0.00019789253,0.000046988294,0.0000033668991,0.000027189812],"genre_scores_gemma":[0.99969727,0.00006643737,0.000025800491,0.000021263919,0.00016625655,0.000011047569,0.0000051544266,0.0000023306322,0.0000044441713],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9990789,0.00006652645,0.0002039494,0.000083699386,0.00040790092,0.00015897442],"domain_scores_gemma":[0.9993745,0.000039087456,0.00023758155,0.0000313081,0.00021059002,0.0001069131],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023230715,0.000056771572,0.00013386035,0.000039610855,0.0001624155,0.00013384338,0.00014214219,0.000021379017,0.000018785971],"category_scores_gemma":[0.000007843033,0.000043248023,0.000046759396,0.00007707453,0.00010518258,0.00055818394,0.000026524958,0.00014069192,7.3849314e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005201608,0.001876279,0.38482183,0.000014619166,0.000018007748,0.0000042857273,0.0009447003,0.0000015705414,0.00019219375,0.0003530217,0.00019470087,0.6115268],"study_design_scores_gemma":[0.00048518454,0.00007466566,0.99653965,0.00003597861,0.000005236281,8.406227e-7,0.0006574749,0.000115717194,0.00007111699,0.0017295912,0.0002416029,0.000042943117],"about_ca_topic_score_codex":0.58973473,"about_ca_topic_score_gemma":0.73373663,"teacher_disagreement_score":0.6117178,"about_ca_system_score_codex":0.0000879827,"about_ca_system_score_gemma":0.0001673228,"threshold_uncertainty_score":0.41299728},"labels":[],"label_agreement":null},{"id":"W2140118005","doi":"10.3934/publichealth.2015.4.616","title":"Local Spatial Analysis and Dynamic Simulation of Childhood Obesity and Neighbourhood Walkability in a Major Canadian City","year":2015,"lang":"en","type":"article","venue":"AIMS Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary; Alberta Health Services","funders":"","keywords":"Walkability; Neighbourhood (mathematics); Psychological intervention; Childhood obesity; Environmental health; Built environment; Socioeconomic status; Obesity; Geography; Psychology; Medicine; Overweight; Engineering; Population; Civil engineering","score_opus":0.026652934060852982,"score_gpt":0.31286830771973645,"score_spread":0.28621537365888344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140118005","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99042064,0.0001240901,0.0032067874,0.005332909,0.000042227763,0.00031662342,0.000046540637,0.000019169029,0.0004909986],"genre_scores_gemma":[0.99962765,0.000012894789,0.00007981985,0.00020891179,0.000023703557,0.0000032244495,0.000030183435,0.0000037609334,0.000009836225],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99834925,0.00025384862,0.00036443362,0.00032182556,0.00028109254,0.0004295738],"domain_scores_gemma":[0.9985767,0.000083452294,0.00012183497,0.00015888097,0.00013408242,0.00092503853],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029636244,0.00009325054,0.00032754903,0.00028306374,0.00022153762,0.00005591175,0.000119271055,0.00011442655,0.000073774456],"category_scores_gemma":[0.0002545906,0.00009250613,0.000042074218,0.001024426,0.00031155074,0.00038478294,0.000019915735,0.00014806975,4.6613798e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004176803,0.00013089155,0.967121,0.000015242306,0.000018117325,4.8898323e-7,0.0070204875,0.000042178253,8.638465e-8,0.00016358483,0.0000026788712,0.025481077],"study_design_scores_gemma":[0.00035665557,0.000040421837,0.99036586,0.000003961825,0.000017919338,5.5822024e-8,0.0012137414,0.0062443307,3.8113444e-7,0.0015612084,0.00011448759,0.000080952435],"about_ca_topic_score_codex":0.93437815,"about_ca_topic_score_gemma":0.99381953,"teacher_disagreement_score":0.05944138,"about_ca_system_score_codex":0.0005258524,"about_ca_system_score_gemma":0.0024972947,"threshold_uncertainty_score":0.44300935},"labels":[],"label_agreement":null},{"id":"W2140174893","doi":"10.1007/s11116-010-9268-y","title":"Employment status and commute distance of Canadians with disabilities","year":2010,"lang":"en","type":"article","venue":"Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Human Resources and Skills Development Canada","keywords":"Affect (linguistics); Context (archaeology); Probit model; Probit; Ordered probit; Survey data collection; Demographic economics; Psychology; Sociology; Geography; Economics; Econometrics","score_opus":0.013518716419134798,"score_gpt":0.2714912991336487,"score_spread":0.2579725827145139,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140174893","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974148,0.000033691205,0.00021566074,0.00027839385,0.000056422155,0.00015680167,0.00010677605,0.000024257788,0.001713199],"genre_scores_gemma":[0.99932504,0.000016578002,0.00032971014,0.000017383323,0.000017927949,0.000008799533,0.000047520785,0.000004945231,0.00023209922],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999409,0.000014225401,0.00014007959,0.00011334583,0.0001666853,0.00015665947],"domain_scores_gemma":[0.9996547,0.0000446651,0.000047330253,0.00010151128,0.000051598767,0.00010020415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011877996,0.000056903475,0.000093546936,0.000017992288,0.00013871457,0.000013414291,0.00006085946,0.000035462985,0.00012572597],"category_scores_gemma":[0.0000070325104,0.00004914709,0.000016908578,0.0000960407,0.0005193629,0.00018926934,3.3058754e-7,0.00007800634,3.4174798e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002284989,0.000025552186,0.95434886,0.000022711496,0.0000050227363,5.412736e-7,0.029367521,0.0000018948133,0.0000947283,0.015321983,0.000005360688,0.0007829683],"study_design_scores_gemma":[0.00017100836,0.000024678366,0.9887801,0.000009728687,0.000019037388,1.3523307e-8,0.006260433,0.0000014338478,0.00015789669,0.0012089541,0.0032966572,0.00007005782],"about_ca_topic_score_codex":0.1341713,"about_ca_topic_score_gemma":0.9410617,"teacher_disagreement_score":0.8068904,"about_ca_system_score_codex":0.000015103163,"about_ca_system_score_gemma":0.000118674296,"threshold_uncertainty_score":0.8715943},"labels":[],"label_agreement":null},{"id":"W2140192902","doi":"10.1136/injuryprev-2011-040011","title":"Neighbourhood street connectivity and injury in youth: a national study of built environments in Canada","year":2011,"lang":"en","type":"article","venue":"Injury Prevention","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Kingston General Hospital; Queen's University","funders":"Canadian Institutes of Health Research","keywords":"Neighbourhood (mathematics); Built environment; Poison control; Geography; Injury prevention; Occupational safety and health; Multilevel model; Human factors and ergonomics; Suicide prevention; Logistic regression; Level design; Environmental health; Population; Demography; Transport engineering; Medicine; Engineering; Mathematics; Statistics; Sociology; Civil engineering; Computer science","score_opus":0.041854596469138715,"score_gpt":0.29863304265049234,"score_spread":0.25677844618135365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140192902","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99817175,0.000013403892,0.000007748084,0.000009492845,0.00007411608,0.00035460285,0.000048543017,0.0000038506296,0.00131652],"genre_scores_gemma":[0.9999031,0.000005715647,0.000014205734,0.0000068838312,0.000013143932,0.0000123867,0.000006436336,0.0000031588784,0.000035009863],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998896,0.00020682508,0.000262827,0.0001879254,0.00031651068,0.0001299197],"domain_scores_gemma":[0.99974084,0.000022425036,0.000104649225,0.00007898015,0.000014952786,0.000038175174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060848193,0.00006439928,0.00012697521,0.00007283033,0.000048720227,0.000005301622,0.000102643906,0.00004090112,0.0001284846],"category_scores_gemma":[0.00004220671,0.00006993084,0.00001641252,0.00016806016,0.00005069101,0.00029546578,0.000022082353,0.00008819576,3.294167e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054150718,0.0006422648,0.98945016,0.0000038526828,0.0000063986913,0.000001055555,0.006731697,8.0576274e-7,0.000051120576,0.00010667005,0.0000030920642,0.002948732],"study_design_scores_gemma":[0.0003843914,0.000099054094,0.9901558,0.00001611378,0.000007729136,8.733576e-9,0.005911642,0.000004553118,0.00015984861,0.003188079,0.0000055742744,0.00006716852],"about_ca_topic_score_codex":0.9560489,"about_ca_topic_score_gemma":0.9949641,"teacher_disagreement_score":0.03891526,"about_ca_system_score_codex":0.00028153797,"about_ca_system_score_gemma":0.0004018435,"threshold_uncertainty_score":0.28516966},"labels":[],"label_agreement":null},{"id":"W2140585589","doi":"10.1186/1479-5868-9-124","title":"Multi-level examination of correlates of active transportation to school among youth living within 1 mile of their school","year":2012,"lang":"en","type":"article","venue":"International Journal of Behavioral Nutrition and Physical Activity","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Queen's University","funders":"Canadian Institutes of Health Research; Health Canada; University of St Andrews; Public Health Agency; Public Health Agency of Canada; World Health Organization; Heart and Stroke Foundation of Canada","keywords":"Mile; Clinical nutrition; Behavioural sciences; Gerontology; Physical activity; Environmental health; Psychology; Medicine; Medical education; Geography; Physical therapy","score_opus":0.06762981703166705,"score_gpt":0.3505193271816345,"score_spread":0.28288951014996744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140585589","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99859023,0.000023068595,0.00062140037,0.00003715209,0.00022595207,0.00017120731,0.00029885542,0.000004848619,0.000027262598],"genre_scores_gemma":[0.9993447,0.000015488215,0.00041680658,0.000003770055,0.00018567618,0.0000037157272,0.000012839085,0.0000054056163,0.0000115926705],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99883235,0.00012584288,0.00035159886,0.000092656854,0.0004953606,0.00010218842],"domain_scores_gemma":[0.9983029,0.00012006979,0.00065518066,0.000049234968,0.0007081261,0.00016449402],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041886725,0.00009070078,0.00025714462,0.00013990398,0.00004775261,0.000014109393,0.00015848792,0.00006970763,0.000047577305],"category_scores_gemma":[0.00007505721,0.00008052999,0.0001437693,0.00015404218,0.0001871058,0.001240935,0.00000899278,0.00018867521,3.6939602e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033493715,0.0058419104,0.86797166,0.000038798684,0.00005637064,7.9952423e-7,0.041824386,0.00001243565,0.06896016,0.00008917754,0.0000048487473,0.014864498],"study_design_scores_gemma":[0.0004889587,0.000121280675,0.937371,0.0002802743,0.000063229665,2.3743648e-7,0.0069215987,0.000033176282,0.054562975,0.00008345939,0.0000024515846,0.00007133548],"about_ca_topic_score_codex":0.00092552614,"about_ca_topic_score_gemma":0.00030539863,"teacher_disagreement_score":0.06939935,"about_ca_system_score_codex":0.00007137102,"about_ca_system_score_gemma":0.000060783997,"threshold_uncertainty_score":0.3283918},"labels":[],"label_agreement":null},{"id":"W2140733440","doi":"10.1123/jpah.2011-0345","title":"Associations Between Active School Transport and Physical Activity, Body Composition, and Cardiovascular Fitness: A Systematic Review of 68 Studies","year":2014,"lang":"en","type":"review","venue":"Journal of Physical Activity and Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":406,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Children's Hospital of Eastern Ontario","funders":"Canadian Institutes of Health Research","keywords":"PsycINFO; Cardiovascular fitness; Physical fitness; Medicine; Psychological intervention; Physical activity; MEDLINE; Gerontology; Physical therapy; Psychiatry; Biology","score_opus":0.09536351754496088,"score_gpt":0.4322154410857034,"score_spread":0.33685192354074256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140733440","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04582245,0.95180607,0.00010202032,0.00056553923,0.000050460498,0.0013978002,0.00020854124,0.0000114672275,0.000035639314],"genre_scores_gemma":[0.30176932,0.69766384,0.000009530643,0.000019376897,0.00049801025,0.000014867537,0.000007161385,0.0000120580335,0.000005810633],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.996243,0.0015132824,0.00076413277,0.00034826886,0.0008417023,0.000289613],"domain_scores_gemma":[0.99572295,0.0011525322,0.0021944593,0.00020327093,0.00035163775,0.00037517733],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0029775072,0.00034746254,0.007238768,0.0001104033,0.0004998855,0.00003777815,0.00019179918,0.00015087637,0.0000016251568],"category_scores_gemma":[0.00022687892,0.00024915664,0.0011052723,0.00032679652,0.0004596146,0.00061502866,0.00003738224,0.000830745,5.883006e-7],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010327693,0.00072003016,0.00061147806,0.9220639,0.0029060142,0.0000034456816,0.0023131287,1.1398392e-7,0.000001182309,0.00017240483,0.00003265243,0.07116533],"study_design_scores_gemma":[0.0009006109,0.0007799613,0.06433152,0.8987003,0.027550934,0.000011523323,0.0005327886,0.000005449591,0.000009637602,0.001188236,0.0051177978,0.0008712269],"about_ca_topic_score_codex":0.00048874685,"about_ca_topic_score_gemma":0.00005236791,"teacher_disagreement_score":0.25594687,"about_ca_system_score_codex":0.00025347958,"about_ca_system_score_gemma":0.0007774418,"threshold_uncertainty_score":0.99999607},"labels":[],"label_agreement":null},{"id":"W2140829327","doi":"10.1007/s11116-008-9171-y","title":"A week in the life of baby boomers: how do they see the spatial–temporal organization of their activities and travel?","year":2008,"lang":"en","type":"article","venue":"Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; McGill University","funders":"Ministère des Transports; Social Sciences and Humanities Research Council of Canada; McGill University","keywords":"Baby boomers; Flexibility (engineering); Cohort; Cohort effect; Demography; Demographic economics; Geography; Perception; Psychology; Sociology; Population; Economics; Medicine","score_opus":0.0262367694640147,"score_gpt":0.24339768839595516,"score_spread":0.21716091893194045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140829327","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976493,0.00011490551,0.00043587404,0.0010774962,0.00003866362,0.00030705013,0.00003702263,0.000011707283,0.00032795622],"genre_scores_gemma":[0.9996402,0.00016678812,0.000023668483,0.0000389137,0.000036390484,0.000006734701,0.000051272145,0.0000068884433,0.000029107985],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99912053,0.00013507163,0.00022818302,0.00012342795,0.00028100924,0.00011179778],"domain_scores_gemma":[0.99949133,0.00013358655,0.0001643958,0.00011560144,0.00007058668,0.000024489962],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047869908,0.000082156315,0.00015603699,0.000042688072,0.00018835781,0.000016642029,0.00016803823,0.000060973416,0.000034912602],"category_scores_gemma":[0.000025577352,0.000049306644,0.00004034598,0.00031766502,0.0003759559,0.00030292972,9.457718e-7,0.00008642915,2.2907372e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002154973,0.000071895076,0.78929836,0.000027908587,0.000009608087,9.107803e-7,0.20895977,0.000008141221,0.0004638432,0.0007114752,0.000014265573,0.00041224674],"study_design_scores_gemma":[0.00022590673,0.000029205381,0.95898074,0.000014579332,0.000022765882,1.06372454e-7,0.038848657,0.000007883854,0.001173936,0.00057013886,0.00006894081,0.000057138146],"about_ca_topic_score_codex":0.008217363,"about_ca_topic_score_gemma":0.039563056,"teacher_disagreement_score":0.17011112,"about_ca_system_score_codex":0.000008378949,"about_ca_system_score_gemma":0.00013165512,"threshold_uncertainty_score":0.998387},"labels":[],"label_agreement":null},{"id":"W2141088109","doi":"10.1155/2012/589409","title":"Associations between Resident Perceptions of the Local Residential Environment and Metabolic Syndrome","year":2012,"lang":"en","type":"article","venue":"Journal of Environmental and Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Douglas Mental Health University Institute","funders":"Medical Research Council; National Health and Medical Research Council; University of South Australia","keywords":"Psychological intervention; Socioeconomic status; Population; Bootstrapping (finance); Perception; Gerontology; Built environment; Metabolic syndrome; Cross-sectional study; Cohort; Environmental health; Psychology; Demography; Medicine; Ecology; Obesity; Mathematics; Sociology; Biology","score_opus":0.028794274233036505,"score_gpt":0.29005555695049595,"score_spread":0.26126128271745946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141088109","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99130327,0.0023339365,0.0002044217,0.0057446877,0.00011260155,0.00012107654,0.000082863015,0.0000022829254,0.000094848765],"genre_scores_gemma":[0.997816,0.0016623704,0.00008216307,0.00011419954,0.00019915692,9.225854e-7,0.0000038206813,0.000004678948,0.000116656294],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982844,0.0003577617,0.0004876134,0.00008358585,0.0004989189,0.0002877023],"domain_scores_gemma":[0.9990029,0.00007267211,0.00044390163,0.000090467714,0.0000061927403,0.00038389355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019365386,0.0000734888,0.00025245614,0.00005469895,0.00051876926,0.000028575303,0.00013778404,0.00006151707,0.0003829648],"category_scores_gemma":[0.00002481298,0.00005249002,0.00008605385,0.00006343783,0.00054334337,0.0005120788,0.000050909544,0.0001938499,0.0000025249842],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000016045332,0.000098194745,0.99073374,0.000004535152,0.00002870777,2.8527782e-7,0.005123925,3.8315665e-7,0.000038539787,0.00029222813,0.00007337826,0.0036044563],"study_design_scores_gemma":[0.00017145812,0.00004369543,0.9903426,0.0000071935096,0.000036205354,0.0000045430347,0.004080071,2.2644885e-7,0.000006785726,0.00027649573,0.004982813,0.0000478983],"about_ca_topic_score_codex":0.0009936276,"about_ca_topic_score_gemma":0.00019371859,"teacher_disagreement_score":0.00651275,"about_ca_system_score_codex":0.00017270104,"about_ca_system_score_gemma":0.00012865046,"threshold_uncertainty_score":0.4193196},"labels":[],"label_agreement":null},{"id":"W2141255921","doi":"10.1016/j.jneb.2013.04.127","title":"Our Food Radius: Americans Purchase or Eat 75% of Their Food within Three Miles of Home","year":2013,"lang":"en","type":"article","venue":"Journal of Nutrition Education and Behavior","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Consumption (sociology); Grocery store; Portion size; Food away from home; Grocery shopping; Convenience food; Food consumption; Telescoping series; Environmental health; Psychology; Gerontology; Business; Advertising; Medicine; Agricultural economics; Food science; Sociology; Economics; Mathematics","score_opus":0.053974702924696666,"score_gpt":0.33550044905899146,"score_spread":0.2815257461342948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141255921","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969059,0.00092630734,0.00006191017,0.0012492118,0.00044627785,0.00032923932,0.000036676087,0.0000060920615,0.000038346956],"genre_scores_gemma":[0.9979539,0.00020043763,0.0014225835,0.00004166201,0.0002755302,0.000039032213,0.000005426883,0.0000058709406,0.000055565204],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99895644,0.000063555155,0.00051815575,0.00009344413,0.0002590419,0.0001093754],"domain_scores_gemma":[0.9986258,0.000035473466,0.00060033676,0.000092739916,0.0005086814,0.00013694145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002719362,0.00008411363,0.00024817832,0.00014919456,0.00010230233,0.000038749593,0.00015812252,0.00006651003,0.00018421347],"category_scores_gemma":[0.00003475247,0.000060823742,0.00012875967,0.00024972507,0.00017634609,0.00045738972,0.0000056044937,0.00011441606,6.970021e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013104726,0.022663735,0.8822922,0.0003112871,0.00008787011,0.0000013339613,0.022329733,5.0204807e-7,0.010137541,0.0004674587,0.0024260187,0.05915128],"study_design_scores_gemma":[0.0009966805,0.0012627195,0.90850425,0.00021860558,0.00017944889,0.0000093760555,0.08112701,0.0000011022246,0.0035429073,0.003144719,0.0008721359,0.00014105688],"about_ca_topic_score_codex":0.00028385143,"about_ca_topic_score_gemma":0.00037561214,"teacher_disagreement_score":0.059010223,"about_ca_system_score_codex":0.00003667826,"about_ca_system_score_gemma":0.00032708733,"threshold_uncertainty_score":0.24803202},"labels":[],"label_agreement":null},{"id":"W2141410457","doi":"10.1038/oby.2009.119","title":"Are Obesity and Physical Activity Clustered? A Spatial Analysis Linked to Residential Density","year":2009,"lang":"en","type":"article","venue":"Obesity","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":71,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada; Simon Fraser University","funders":"Canadian Institutes of Health Research; Michael Smith Health Research BC","keywords":"Cluster analysis; Obesity; Spatial analysis; Sample (material); Geography; Built environment; Physical activity; Statistics; Medicine; Mathematics; Engineering","score_opus":0.019819085223730947,"score_gpt":0.30576305902844625,"score_spread":0.2859439738047153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141410457","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99464935,0.000010231301,0.0027166267,0.0012634799,0.00010193293,0.00031169993,0.000019320376,0.00012201677,0.00080531766],"genre_scores_gemma":[0.9987949,0.0000036526694,0.0001198221,0.00021506223,0.000484751,0.000002574509,0.000004871689,0.000004719228,0.00036960494],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998082,0.00026006065,0.0001517223,0.0005885828,0.00051214907,0.00040552972],"domain_scores_gemma":[0.9989208,0.00007102563,0.00015575574,0.00035758832,0.00013051163,0.00036432227],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005508009,0.00017983116,0.00047005867,0.00011561443,0.0008398977,0.0001550679,0.0002794508,0.00015208077,0.00008071959],"category_scores_gemma":[0.00015978172,0.0001804028,0.00023353884,0.0007880432,0.00018910498,0.0003638752,0.000068989386,0.00023776537,0.000023094435],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010154271,0.0006291607,0.9919218,0.000007441098,0.000056905057,0.00002026657,0.002513605,0.000005829386,0.0003124491,0.0000799462,0.0001274592,0.0042236154],"study_design_scores_gemma":[0.00020156911,0.000049156828,0.99726534,0.000007150271,0.0003124988,1.0013961e-7,0.00014088482,0.00015866495,0.0003849357,0.0011538534,0.000110084446,0.00021576657],"about_ca_topic_score_codex":0.016570605,"about_ca_topic_score_gemma":0.12160117,"teacher_disagreement_score":0.10503057,"about_ca_system_score_codex":0.00011414341,"about_ca_system_score_gemma":0.000074342286,"threshold_uncertainty_score":0.98997813},"labels":[],"label_agreement":null},{"id":"W2141627888","doi":"10.1016/j.socscimed.2004.04.015","title":"Geographies of inequality: Child pedestrian injury and walking school buses in Auckland, New Zealand","year":2004,"lang":"en","type":"article","venue":"Social Science & Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":126,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Metropolitan area; Pedestrian; Privilege (computing); Inequality; Poison control; Public health; Injury prevention; Suicide prevention; Occupational safety and health; Economic growth; Human factors and ergonomics; Geography; Environmental health; Socioeconomics; Sociology; Medicine; Political science; Economics; Nursing","score_opus":0.021271625141796004,"score_gpt":0.3309527770968567,"score_spread":0.30968115195506074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141627888","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9866932,0.00046073567,0.000013086328,0.0071946294,0.00020510393,0.00019908563,0.0000037873244,0.000034016222,0.005196377],"genre_scores_gemma":[0.9988751,0.00019299565,0.000021546037,0.00020578645,0.0006049894,0.0000026859598,0.0000021017574,0.000004264634,0.00009054216],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99802494,0.00006300502,0.0003709106,0.00032362287,0.00079207646,0.00042541538],"domain_scores_gemma":[0.9993202,0.000051745596,0.00015029647,0.00011368154,0.000084667285,0.00027939313],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0023121112,0.000115045674,0.000306937,0.00030593225,0.000687694,0.00004445382,0.00037014094,0.000089142646,0.00009641881],"category_scores_gemma":[0.00072198734,0.000092648894,0.000038061946,0.0022931544,0.0038653868,0.0005373664,0.000029409723,0.00019959282,8.639582e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022094937,0.00003249217,0.94568634,0.000012148079,0.0000026413509,0.0000021531137,0.0442786,2.3300073e-7,0.00025546763,0.0019377087,0.000071668626,0.0076984717],"study_design_scores_gemma":[0.0009203936,0.00006612243,0.96893483,0.00013966639,0.000015653191,2.0382454e-7,0.0068584825,1.5716411e-7,0.00009297347,0.021320343,0.0015315231,0.00011964657],"about_ca_topic_score_codex":0.07873911,"about_ca_topic_score_gemma":0.030716505,"teacher_disagreement_score":0.048022605,"about_ca_system_score_codex":0.000089590445,"about_ca_system_score_gemma":0.00065674144,"threshold_uncertainty_score":0.9988455},"labels":[],"label_agreement":null},{"id":"W2141644033","doi":"10.1186/1476-072x-6-41","title":"Comparing circular and network buffers to examine the influence of land use on walking for leisure and errands","year":2007,"lang":"en","type":"article","venue":"International Journal of Health Geographics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":297,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"Canadian Institutes of Health Research","keywords":"Odds; Transport engineering; Land use; Respondent; Logistic regression; Geography; Engineering; Statistics; Mathematics; Civil engineering","score_opus":0.04966018243593056,"score_gpt":0.3583915704368279,"score_spread":0.30873138800089733,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141644033","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952506,0.00067166035,0.0015440732,0.0020922085,0.0002585308,0.00015313229,0.0000042694865,0.0000033923543,0.00002214373],"genre_scores_gemma":[0.9986261,0.000315043,0.00033809678,0.00049634237,0.00021586298,7.835698e-7,0.0000011636307,0.0000034047991,0.000003181],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988772,0.000059281603,0.0004115712,0.00008327241,0.0003996524,0.00016896598],"domain_scores_gemma":[0.99863374,0.0005363863,0.00031666047,0.00004951784,0.00035933353,0.00010436873],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003589947,0.000056549125,0.00017162885,0.00012109982,0.00022983456,0.000055980025,0.00019368368,0.000036785088,0.0000012893732],"category_scores_gemma":[0.00016117167,0.00004122969,0.000048212252,0.0001545478,0.0001486936,0.00016716313,0.000014321155,0.00014486504,2.6518856e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012771964,0.000020953064,0.99333674,0.000016073383,0.000035523946,0.0000021384337,0.0018194504,0.00064506644,0.00000751577,0.00091712177,0.000019922969,0.0030517986],"study_design_scores_gemma":[0.00035371387,0.0001006762,0.99540174,0.00014796296,0.00000934651,0.0000022791785,0.0002873701,0.000025455882,0.000003279807,0.0010233126,0.0026058713,0.000039007406],"about_ca_topic_score_codex":0.001285748,"about_ca_topic_score_gemma":0.0033644394,"teacher_disagreement_score":0.0034287754,"about_ca_system_score_codex":0.000025048523,"about_ca_system_score_gemma":0.00007160643,"threshold_uncertainty_score":0.1943675},"labels":[],"label_agreement":null},{"id":"W2141944444","doi":"10.4081/gh.2009.206","title":"Evaluating web-based static, animated and interactive maps for injury prevention","year":2009,"lang":"en","type":"article","venue":"Geospatial health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto; Toronto Metropolitan University; St. Michael's Hospital; Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Ontario Ministry of Health and Long-Term Care","keywords":"Usability; Geospatial analysis; Geovisualization; Computer science; Visualization; Animation; Process (computing); Human–computer interaction; Sample (material); Interactive visualization; Web mapping; Web application; World Wide Web; Data science; Data mining; Cartography; Information visualization; Geography; The Internet; Web navigation; Computer graphics (images)","score_opus":0.05464273791858276,"score_gpt":0.4499374343849215,"score_spread":0.39529469646633875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141944444","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9857104,0.0000890415,0.008177814,0.004152798,0.00017974696,0.0011739641,0.000098686905,0.00009600447,0.00032154747],"genre_scores_gemma":[0.99321425,0.000013605601,0.0056733605,0.00072135055,0.000119570694,0.000024798403,0.00008586691,0.0000053524973,0.00014182883],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99875253,0.00021079331,0.00028017085,0.000230079,0.00022130816,0.000305113],"domain_scores_gemma":[0.9993666,0.00011374892,0.00019042887,0.000084381696,0.00011734736,0.00012748515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013849873,0.00008302461,0.00016664418,0.000042549847,0.00051044184,0.000048598555,0.00007630041,0.000050083527,0.00006227207],"category_scores_gemma":[0.00013005083,0.000081865546,0.000040359828,0.00013021106,0.000056995366,0.00022094802,0.0000044497765,0.00008635455,0.0000019896697],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008803684,0.00039741228,0.034830447,0.00019559136,0.000013189677,6.569976e-7,0.012494177,0.000019788067,0.0002890097,0.001307486,0.0018792762,0.9476926],"study_design_scores_gemma":[0.0070088953,0.010368141,0.8432189,0.0006303749,0.00010387529,2.2715186e-7,0.0053326804,0.043875143,0.00072151993,0.07108566,0.016729973,0.000924582],"about_ca_topic_score_codex":0.0031934434,"about_ca_topic_score_gemma":0.008797493,"teacher_disagreement_score":0.946768,"about_ca_system_score_codex":0.00013016345,"about_ca_system_score_gemma":0.0007596147,"threshold_uncertainty_score":0.49092072},"labels":[],"label_agreement":null},{"id":"W2142561118","doi":"10.1093/pubmed/fds011","title":"Talking the talk, walking the walk: examining the effect of neighbourhood walkability and social connectedness on physical activity","year":2012,"lang":"en","type":"article","venue":"Journal of Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":70,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Walkability; Social connectedness; Neighbourhood (mathematics); Recreation; Psychology; Gerontology; Environmental health; Medicine; Social psychology; Physical activity; Physical therapy","score_opus":0.06788768608180341,"score_gpt":0.36314151464145955,"score_spread":0.29525382855965615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2142561118","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.976022,0.00020040883,0.000059451424,0.022120168,0.00048109845,0.0003297185,0.0000045149754,0.000012471537,0.0007701528],"genre_scores_gemma":[0.99807864,0.000013767961,0.000005645682,0.000255691,0.0016172215,0.000004951769,3.8264113e-7,0.000009210238,0.000014490196],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9953831,0.0026810186,0.00039521622,0.00014069241,0.00079636945,0.0006036342],"domain_scores_gemma":[0.99536777,0.0032235798,0.0008828335,0.00018386082,0.00014703572,0.00019493462],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.020194428,0.00014648157,0.000426081,0.000044845736,0.0017825615,0.0001577208,0.0005294606,0.00007678732,0.00003792326],"category_scores_gemma":[0.0009637519,0.00006231429,0.00017446997,0.0003793263,0.00074096647,0.00071854604,0.000052851257,0.00078860135,5.2120924e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008618609,0.0003705236,0.49949422,0.000102145525,0.00008427429,9.23101e-7,0.10145512,8.8210817e-7,0.00015338138,0.003981458,0.00013126068,0.39413962],"study_design_scores_gemma":[0.00035882607,0.00029457407,0.9884536,0.00002823272,0.00003216375,0.000003171124,0.008348567,0.000018951272,0.00012508359,0.0002971335,0.0019651914,0.00007447779],"about_ca_topic_score_codex":0.0011887788,"about_ca_topic_score_gemma":0.00042146022,"teacher_disagreement_score":0.4889594,"about_ca_system_score_codex":0.00020730363,"about_ca_system_score_gemma":0.0004389147,"threshold_uncertainty_score":0.99951696},"labels":[],"label_agreement":null},{"id":"W2142691518","doi":"10.1186/1476-072x-7-63","title":"AccessMod 3.0: computing geographic coverage and accessibility to health care services using anisotropic movement of patients","year":2008,"lang":"en","type":"article","venue":"International Journal of Health Geographics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":222,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"RMIT University; Université de Sherbrooke; World Health Organization","keywords":"Geographic information system; Health geography; Population; Catchment area; Computer science; Geospatial analysis; Spatial analysis; Health care; Geography; Data science; Data mining; Cartography; Remote sensing; Health policy; Environmental health; Medicine","score_opus":0.027805580576258756,"score_gpt":0.36014374962361273,"score_spread":0.33233816904735397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2142691518","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9937948,0.0022364866,0.0014949306,0.0012162332,0.00080435525,0.00032422887,0.000069728034,0.000013718822,0.000045499182],"genre_scores_gemma":[0.9951172,0.0012007592,0.0015377877,0.0019418305,0.00017393172,7.8947176e-7,0.00001706878,0.000009402528,0.0000012202931],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9965104,0.0002855725,0.0013012321,0.00025217005,0.001295947,0.00035466952],"domain_scores_gemma":[0.9964109,0.000084958214,0.0015205836,0.00014191786,0.0015230194,0.0003186255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001313465,0.00015087846,0.0004452807,0.00050359854,0.0006668932,0.00007307827,0.0006796238,0.00007143731,0.000019991652],"category_scores_gemma":[0.00004432329,0.00014272067,0.00016139136,0.00049356336,0.00023582584,0.00055689045,0.000104657556,0.0002447928,1.8234799e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006748818,0.00020565248,0.9797302,0.00014876908,0.00005722725,0.0000041743824,0.010637942,0.000090371876,0.0000027397348,0.00013375781,0.000008922266,0.008912788],"study_design_scores_gemma":[0.00074599875,0.00021592174,0.99594474,0.00019723289,0.000009234207,0.0000011014527,0.00160629,0.0000335449,0.000007461687,0.00055475975,0.000580699,0.00010300936],"about_ca_topic_score_codex":0.010485929,"about_ca_topic_score_gemma":0.002811976,"teacher_disagreement_score":0.01621458,"about_ca_system_score_codex":0.00023753948,"about_ca_system_score_gemma":0.0008370866,"threshold_uncertainty_score":0.99610335},"labels":[],"label_agreement":null},{"id":"W2143277624","doi":"10.7202/012933ar","title":"L’accessibilité aux services et aux équipements : un enjeu d’équité pour les personnes âgées résidant en HLM à Montréal","year":2006,"lang":"fr","type":"article","venue":"Cahiers de géographie du Québec","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.010004904340430196,"score_gpt":0.24597616060741795,"score_spread":0.23597125626698776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143277624","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90896636,0.03924951,0.00020971174,0.029929904,0.0010033303,0.00064297917,0.00014592939,0.00035415206,0.01949812],"genre_scores_gemma":[0.96508384,0.0017041205,0.0006484874,0.0015796237,0.0021170524,0.00009292593,0.000091643924,0.00009967033,0.028582647],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99381435,0.0009932945,0.0011246479,0.0013594659,0.0010055061,0.0017027252],"domain_scores_gemma":[0.9970866,0.0006470155,0.00054674357,0.00076549366,0.00039676615,0.0005574108],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.0019009913,0.0008829637,0.00086031714,0.00045464133,0.0022778243,0.00046649147,0.001587222,0.0010220272,0.0016179718],"category_scores_gemma":[0.000118491,0.0008683626,0.0009094685,0.0019900044,0.008330111,0.001462147,0.00013450031,0.0010507302,0.00011671549],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013940179,0.0011943179,0.8836771,0.0005618187,0.00033773025,0.00015160545,0.035227694,0.00006868919,0.0004325117,0.056902245,0.004569472,0.016737381],"study_design_scores_gemma":[0.0016352469,0.00014622831,0.8059776,0.00032505218,0.00071498076,0.000010149006,0.028543841,0.00016346981,0.00045609678,0.03140135,0.12927209,0.0013539176],"about_ca_topic_score_codex":0.6983582,"about_ca_topic_score_gemma":0.8666997,"teacher_disagreement_score":0.16834153,"about_ca_system_score_codex":0.0006506762,"about_ca_system_score_gemma":0.0018171807,"threshold_uncertainty_score":0.9993767},"labels":[],"label_agreement":null},{"id":"W2143307387","doi":"10.15517/rcs.v0i148.21203","title":"SATISFACCIÓN RESIDENCIAL: UN CONCEPTO DE CALIDAD DE VIDA EN LA CIUDAD DE MONTREAL","year":2015,"lang":"es","type":"article","venue":"Revista de Ciencias Sociales","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.042051591247071654,"score_gpt":0.33772650603957194,"score_spread":0.2956749147925003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143307387","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.971625,0.0050934404,0.0012650131,0.001616956,0.00018188414,0.0005361416,0.00014302612,0.0002531445,0.01928542],"genre_scores_gemma":[0.99443316,0.0010655689,0.0015365498,0.00054743275,0.0016829283,0.000042132968,0.00001674179,0.00006092887,0.00061454996],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9922208,0.0033155368,0.000893969,0.0007962282,0.0010909878,0.001682454],"domain_scores_gemma":[0.996205,0.001296466,0.00053095084,0.00048601598,0.0003616965,0.0011199078],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.010427009,0.0004950673,0.00089007354,0.00012639516,0.0011046574,0.0010901924,0.0012894771,0.0008605644,0.00019844827],"category_scores_gemma":[0.0042978665,0.0005282658,0.00048781087,0.0010593312,0.0018026305,0.0005790182,0.00013882152,0.0006771525,0.00006215192],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006598393,0.00019556486,0.8855089,0.0001429073,0.00006645644,0.00016291863,0.05485065,0.000011966493,0.0005301566,0.04450768,0.00412512,0.009831707],"study_design_scores_gemma":[0.00086844916,0.000087765206,0.933354,0.00027743846,0.0003193444,0.000008489883,0.014779466,0.00007251228,0.00048395203,0.029427795,0.019575227,0.0007455525],"about_ca_topic_score_codex":0.05329926,"about_ca_topic_score_gemma":0.013616993,"teacher_disagreement_score":0.047845118,"about_ca_system_score_codex":0.0035986328,"about_ca_system_score_gemma":0.012167159,"threshold_uncertainty_score":0.9999468},"labels":[],"label_agreement":null},{"id":"W2143524507","doi":"10.1111/j.1541-0064.2001.tb01491.x","title":"Ville compacte et qualité de vie: discussions autour de l'approche canadienne des indicateurs de durabilité","year":2001,"lang":"fr","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.01878711336886095,"score_gpt":0.2559278706739864,"score_spread":0.23714075730512546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143524507","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9435604,0.011670084,0.00004715585,0.031909276,0.001296459,0.0008221966,0.0011882471,0.0002759728,0.009230205],"genre_scores_gemma":[0.97984296,0.012468698,0.00074909866,0.0026973726,0.00049994607,0.00018758049,0.00020057292,0.00015048472,0.003203281],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98879445,0.0013261264,0.0011263199,0.0013805829,0.0005035901,0.0068689627],"domain_scores_gemma":[0.98862743,0.0005296463,0.00042167652,0.0010650548,0.00036281126,0.008993354],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.0032487994,0.0010986234,0.0010761984,0.003376405,0.0039487164,0.00052139425,0.0018695968,0.0009962572,0.0012946147],"category_scores_gemma":[0.0006923404,0.0011476524,0.0009990934,0.012382483,0.011931748,0.0011705377,0.000079871344,0.00125884,0.000024459576],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045108554,0.00018354462,0.8983301,0.0002261417,0.0003583893,0.00075110444,0.056797173,0.000071301154,0.00004464986,0.022022894,0.006136929,0.015032649],"study_design_scores_gemma":[0.0004142845,0.00012684196,0.6714156,0.00029033108,0.00029145653,0.00009882032,0.06097171,0.00004075438,0.000010669886,0.025794277,0.23943269,0.0011125484],"about_ca_topic_score_codex":0.99373,"about_ca_topic_score_gemma":0.9999156,"teacher_disagreement_score":0.23329577,"about_ca_system_score_codex":0.0023596042,"about_ca_system_score_gemma":0.004801496,"threshold_uncertainty_score":0.99961835},"labels":[],"label_agreement":null},{"id":"W2143729190","doi":"10.1016/s1755-5345(13)70012-5","title":"On Jointly Analyzing the Physical Activity Participation Levels of Individuals in a Family Unit Using a Multivariate Copula Framework","year":2010,"lang":"en","type":"article","venue":"Journal of Choice Modelling","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":43,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Multivariate statistics; Copula (linguistics); Psychological intervention; Physical activity; Demographic economics; Psychology; Household income; Multivariate analysis; Econometrics; Economics; Geography; Statistics; Medicine; Mathematics","score_opus":0.15269014594847666,"score_gpt":0.4139989149787202,"score_spread":0.2613087690302436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143729190","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9108593,0.0000181299,0.08853864,0.00019731684,0.00017920096,0.00010517075,0.000004501637,0.0000048882816,0.00009286316],"genre_scores_gemma":[0.9966677,0.0000037443663,0.0029453523,0.000025349244,0.00034425876,0.0000010018915,1.6261313e-7,0.000008147886,0.0000042940223],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984567,0.00025611123,0.00042164398,0.0001248863,0.00051062525,0.00022999276],"domain_scores_gemma":[0.9979425,0.00096799183,0.00066828524,0.00014423937,0.00019719644,0.00007978829],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020418388,0.00010191675,0.00030196775,0.00012928566,0.00022467943,0.00006596705,0.00027693954,0.00011741677,0.00001580927],"category_scores_gemma":[0.00048412074,0.00007322186,0.00014158835,0.00045871027,0.00014121534,0.0005057506,0.000013768952,0.0009317912,4.710195e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014023414,0.0009385425,0.46778443,0.000031839983,0.000082348066,0.0000053678177,0.03454493,0.45609012,0.03142784,0.0034791958,0.0000018506876,0.005473293],"study_design_scores_gemma":[0.0005898919,0.00006582948,0.6449611,0.00038788078,0.0001353467,2.53026e-7,0.0006533517,0.31450135,0.0031359887,0.035336405,0.000040949897,0.0001916381],"about_ca_topic_score_codex":0.0018346369,"about_ca_topic_score_gemma":0.0005455419,"teacher_disagreement_score":0.1771767,"about_ca_system_score_codex":0.000046309895,"about_ca_system_score_gemma":0.00019968725,"threshold_uncertainty_score":0.40482208},"labels":[],"label_agreement":null},{"id":"W2143736534","doi":"10.4278/ajhp.120509-quan-244","title":"Behavioral Mediators of the Association between Neighborhood Environment and Weight Status in Nigerian Adults","year":2013,"lang":"en","type":"article","venue":"American Journal of Health Promotion","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre for Movement Disorders","funders":"","keywords":"Overweight; Body mass index; Obesity; Level design; Association (psychology); Sitting; Sedentary behavior; Sedentary lifestyle; Medicine; Walkability; Demography; Gerontology; Built environment; Screen time; Physical activity; Cross-sectional study; Psychology; Environmental health; Physical therapy; Ecology","score_opus":0.013561224620857005,"score_gpt":0.2955900433346885,"score_spread":0.2820288187138315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143736534","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99456143,0.00009496683,0.00004056402,0.0047890088,0.00012610688,0.0003469224,0.0000058924097,0.0000028503032,0.000032228643],"genre_scores_gemma":[0.999514,0.0002114725,0.00011640429,0.000042835796,0.00009526002,0.000005741281,0.0000018489445,0.0000041634926,0.0000083040595],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980557,0.000611274,0.00056836655,0.00008868043,0.0004330239,0.00024295575],"domain_scores_gemma":[0.998361,0.000060185746,0.0013148511,0.00006732703,0.00006490524,0.00013176045],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001394084,0.000059545746,0.00024962894,0.00005957443,0.00012846387,0.000013085251,0.00010901468,0.00004151838,0.00005829597],"category_scores_gemma":[0.000049756243,0.000043023418,0.000045687706,0.00019874175,0.00017397891,0.00029331387,0.00000988658,0.00019752172,0.0000010561948],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000045212955,0.00010554715,0.900564,0.0000082804145,0.0000050755316,1.2279396e-7,0.006943738,4.11275e-7,0.000008507705,0.000005924026,0.000013432292,0.09234043],"study_design_scores_gemma":[0.0002837637,0.0004264169,0.9959119,0.00005072284,0.000010737057,8.374493e-8,0.0027685463,0.0000018029799,0.000022185475,0.00031962738,0.00016573544,0.000038506845],"about_ca_topic_score_codex":0.007729938,"about_ca_topic_score_gemma":0.0008838544,"teacher_disagreement_score":0.09534786,"about_ca_system_score_codex":0.00040640743,"about_ca_system_score_gemma":0.00025727577,"threshold_uncertainty_score":0.99887764},"labels":[],"label_agreement":null},{"id":"W2143769402","doi":"","title":"CONTEXT AND PROSPECTS FOR INTEGRATED URBAN MODELS FOR METROPOLITAN POLICY ANALYSIS AND PLANNING IN DEVELOPING COUNTRIES: THE CASE OF METRO MANILA","year":2015,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Metropolitan area; Context (archaeology); Developing country; Urban planning; Sustainable development; Environmental planning; Regional science; Business; Transportation planning; Land use; Transport engineering; Policy analysis; Perspective (graphical); Economic growth; Political science; Economics; Engineering; Computer science; Public administration; Geography; Civil engineering","score_opus":0.060119511449052726,"score_gpt":0.3567016959388283,"score_spread":0.2965821844897756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143769402","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9510295,0.0006192869,0.04511084,0.0011423511,0.000023305789,0.0007259142,0.0000546806,0.00001943702,0.0012747182],"genre_scores_gemma":[0.9968016,0.000011986929,0.0027506708,0.0001647539,0.000043902102,0.000044448258,0.000007794115,0.000005381374,0.000169444],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99915254,0.000047463815,0.00026337252,0.0002051072,0.00010041832,0.00023109672],"domain_scores_gemma":[0.9991343,0.0003196923,0.00009185385,0.00009228427,0.00027707662,0.00008478142],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011786319,0.000092984876,0.00028340786,0.00022408407,0.00021547818,0.00007447892,0.00010225051,0.000059329584,0.0000027395188],"category_scores_gemma":[0.00029913045,0.00006113961,0.00004866656,0.00082890916,0.0002802042,0.0002711252,0.000014053349,0.000042653377,2.9801487e-8],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011681874,0.000019492207,0.54072237,0.000056070527,0.00016016068,0.000006720865,0.028944133,0.000015966436,0.0000019609547,0.42940277,0.0001784159,0.00037512725],"study_design_scores_gemma":[0.004424726,0.000292954,0.037387718,0.000106835294,0.0010560823,0.0000036254387,0.7263194,0.043561406,0.0011276117,0.17820889,0.0067299153,0.0007808454],"about_ca_topic_score_codex":0.072448164,"about_ca_topic_score_gemma":0.21433745,"teacher_disagreement_score":0.69737524,"about_ca_system_score_codex":0.00023013128,"about_ca_system_score_gemma":0.0003259422,"threshold_uncertainty_score":0.93372846},"labels":[],"label_agreement":null},{"id":"W21439053","doi":"10.1186/1755-8794-4-25","title":"Accessibility planning for cyclists","year":2007,"lang":"en","type":"article","venue":"BMC Medical Genomics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Transport engineering; Pedestrian; Cycling; Plan (archaeology); Disadvantaged; Business; Geography; Computer science; Engineering; Economic growth","score_opus":0.06675652196350323,"score_gpt":0.39802635509345735,"score_spread":0.3312698331299541,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W21439053","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8793186,0.00018623973,0.105748534,0.00019047568,0.0006038949,0.00031890257,0.000008182318,0.00008978089,0.01353542],"genre_scores_gemma":[0.99210125,0.000010586887,0.005813263,0.00038332702,0.0011704889,0.000009804334,0.000017761684,0.0000106585685,0.00048284596],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982122,0.000055614168,0.000399643,0.00032368748,0.0005100597,0.00049876986],"domain_scores_gemma":[0.9981894,0.00096733076,0.00009254238,0.00020519488,0.000068207046,0.0004773256],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0051082782,0.00009654879,0.00018064948,0.00003549441,0.00039946323,0.000050152245,0.0005379116,0.00024035164,0.00041969292],"category_scores_gemma":[0.0016523873,0.00008851406,0.0001167025,0.00014914501,0.00037897212,0.0001366183,0.000033387838,0.00015662084,0.0000121748835],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013375662,0.00010357045,0.9789604,0.00006850694,0.000008314149,0.000007973649,0.0033355164,0.0000028097002,0.000052978197,0.002750775,0.0005515917,0.014023807],"study_design_scores_gemma":[0.0007615158,0.00002038484,0.8944141,0.000033542303,0.00002184598,3.2820301e-7,0.0017848781,0.00018998787,0.00023017752,0.008871137,0.09341365,0.00025841728],"about_ca_topic_score_codex":0.00031433924,"about_ca_topic_score_gemma":0.008946952,"teacher_disagreement_score":0.112782694,"about_ca_system_score_codex":0.00014695806,"about_ca_system_score_gemma":0.00092083897,"threshold_uncertainty_score":0.49926096},"labels":[],"label_agreement":null},{"id":"W2144014335","doi":"10.1186/1479-5868-9-92","title":"The association between sidewalk length and walking for different purposes in established neighborhoods","year":2012,"lang":"en","type":"article","venue":"International Journal of Behavioral Nutrition and Physical Activity","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"National Health and Medical Research Council; Medical Research Council; Canadian Institutes of Health Research","keywords":"Walkability; Level design; Geography; Recreation; Demography; Respondent; Demographics; Built environment; Poison control; Gerontology; Environmental health; Medicine; Physical activity; Physical medicine and rehabilitation; Engineering; Ecology; Computer science","score_opus":0.03924327806262356,"score_gpt":0.369398801400647,"score_spread":0.33015552333802345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2144014335","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99780667,0.00009699425,0.00008650245,0.001500183,0.0002819143,0.00014476804,0.000025728015,0.000005064049,0.000052174397],"genre_scores_gemma":[0.99877703,0.00011103668,0.00003128381,0.000011608739,0.0010342122,0.000009258982,0.0000039693273,0.0000034505806,0.000018131703],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991307,0.00011259546,0.00016242592,0.00007248293,0.0003643276,0.00015746459],"domain_scores_gemma":[0.9989188,0.00055877847,0.0002279602,0.000027615117,0.00017856766,0.00008833068],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005394742,0.00006618845,0.00015192416,0.000046470468,0.00017090455,0.00015224465,0.00011272119,0.000051843774,0.0000035230971],"category_scores_gemma":[0.00007803593,0.000047856018,0.00007760228,0.00005535335,0.00007347351,0.00091028726,0.000016179718,0.0001742009,1.0683981e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009066537,0.0008400714,0.9034341,0.0000051052566,0.000021129305,5.1327754e-7,0.0014785699,4.8919123e-8,0.0008531741,0.0006359944,0.000027915788,0.092612706],"study_design_scores_gemma":[0.00073068286,0.000054146403,0.9912135,0.000031500687,0.00004325496,3.312595e-7,0.00046914216,0.000009178966,0.0014481099,0.0043017324,0.0016347627,0.00006363596],"about_ca_topic_score_codex":0.00020793706,"about_ca_topic_score_gemma":0.0003289671,"teacher_disagreement_score":0.09254907,"about_ca_system_score_codex":0.00015621852,"about_ca_system_score_gemma":0.00002012109,"threshold_uncertainty_score":0.19515118},"labels":[],"label_agreement":null},{"id":"W2144261211","doi":"10.1186/1476-072x-11-32","title":"Spatial access to residential care resources in Beijing, China","year":2012,"lang":"en","type":"article","venue":"International Journal of Health Geographics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":97,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Beijing; Geography; Geographic information system; Residential area; Equity (law); Population; Catchment area; Environmental planning; Administrative division; Business; Environmental resource management; China; Environmental health; Computer science; Cartography; Medicine; Drainage basin","score_opus":0.029258046521576386,"score_gpt":0.39539230182405893,"score_spread":0.36613425530248256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2144261211","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9818322,0.0020861623,0.00054736255,0.011166916,0.0030179021,0.00015893765,0.000012209777,0.000012519548,0.0011657582],"genre_scores_gemma":[0.9968182,0.0002910451,0.00022326752,0.00077547773,0.0018575724,0.0000025207146,0.0000048009724,0.000007884648,0.000019241032],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973596,0.00025618504,0.0007397519,0.00011922413,0.0011303955,0.00039484332],"domain_scores_gemma":[0.9986227,0.00006615981,0.00048220612,0.0000894549,0.00043449472,0.000304971],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023106774,0.00009307799,0.0002137675,0.0006434949,0.00022557795,0.00017563599,0.0009656544,0.00007784163,0.00014487364],"category_scores_gemma":[0.00020974595,0.0000876157,0.00013509531,0.00040972937,0.000107603504,0.00091113243,0.0000640449,0.00033713607,0.0000032352045],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007690592,0.00009289925,0.96519804,0.000012171418,0.000018537488,0.000009319806,0.020060811,0.000019658373,0.0000016634299,0.00027935664,0.00036725853,0.013863401],"study_design_scores_gemma":[0.00030580416,0.000046670662,0.9566808,0.00010706302,0.000005646113,0.0000017938764,0.0019060217,0.0000011409415,0.00000724195,0.0003433287,0.040514313,0.0000801921],"about_ca_topic_score_codex":0.020519992,"about_ca_topic_score_gemma":0.04040769,"teacher_disagreement_score":0.040147055,"about_ca_system_score_codex":0.0002108686,"about_ca_system_score_gemma":0.00039005926,"threshold_uncertainty_score":0.98600245},"labels":[],"label_agreement":null},{"id":"W2144830835","doi":"10.1007/s11116-012-9415-8","title":"How can we alter our carbon footprint? Estimating GHG emissions based on travel survey information","year":2012,"lang":"en","type":"article","venue":"Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":43,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"McGill University","keywords":"Greenhouse gas; Carbon footprint; Downtown; TRIPS architecture; Travel behavior; Business; Transport engineering; Travel survey; Natural resource economics; Environmental economics; Environmental science; Geography; Engineering; Economics","score_opus":0.04156198664659487,"score_gpt":0.30635589340979336,"score_spread":0.26479390676319847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2144830835","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9861334,0.000018493382,0.00751528,0.0028241691,0.0006489874,0.0003804432,0.0000962969,0.000116087955,0.0022668347],"genre_scores_gemma":[0.99785,0.0000030307074,0.001124056,0.000088524735,0.00017659295,0.000024516208,0.00052134856,0.000011052388,0.000200854],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99857754,0.00012054489,0.00030371454,0.00014959555,0.00047580153,0.0003727886],"domain_scores_gemma":[0.99926543,0.00007373768,0.0001657305,0.00016381778,0.00011580665,0.00021546832],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008568117,0.00014687618,0.00015721872,0.000097997145,0.000369924,0.00008716391,0.0001422619,0.00012696304,0.000020600695],"category_scores_gemma":[0.00008932222,0.00013866062,0.000073453506,0.00030270068,0.00004726012,0.0005116304,8.0578326e-7,0.0001665504,0.0000032964977],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004666839,0.00010423217,0.96915054,0.000057481204,0.000007686718,5.597118e-7,0.017986696,0.00039185642,0.00016216582,0.00041106498,0.000036280864,0.011644778],"study_design_scores_gemma":[0.0003152275,0.000021210355,0.9942787,0.000045166817,0.00002745293,1.7700392e-8,0.002780584,0.0012772534,0.0007025015,0.0001261662,0.00024313397,0.00018255392],"about_ca_topic_score_codex":0.00944229,"about_ca_topic_score_gemma":0.013428657,"teacher_disagreement_score":0.0251282,"about_ca_system_score_codex":0.00008336249,"about_ca_system_score_gemma":0.00014294106,"threshold_uncertainty_score":0.99715394},"labels":[],"label_agreement":null},{"id":"W2144927846","doi":"10.3828/idpr.27.2.2","title":"The urban transport challenge in India: <i>Considerations, implications and strategies</i>","year":2005,"lang":"en","type":"article","venue":"International Development Planning Review","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Economic geography; Environmental planning; Regional science; Development economics; Economics; Geography","score_opus":0.037195520067359975,"score_gpt":0.34460336260042834,"score_spread":0.30740784253306835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2144927846","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45100313,0.18107395,0.0003029259,0.09433585,0.0006100752,0.0015188833,0.000024114779,0.00016756427,0.2709635],"genre_scores_gemma":[0.99017996,0.007681425,0.0005795644,0.000941624,0.000102715894,0.00010182205,0.000031686766,0.000004513878,0.00037667554],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99895626,0.00004434714,0.000410847,0.0001876716,0.00023264582,0.00016823882],"domain_scores_gemma":[0.99954355,0.00014474205,0.0000933893,0.00009035982,0.00007316669,0.000054819513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008380449,0.000086850174,0.00011781575,0.00004232498,0.00043197698,0.000088443914,0.00020792827,0.000040052077,0.00009762765],"category_scores_gemma":[0.00006398663,0.000069151945,0.000026473068,0.0001099691,0.000094076,0.0003997606,0.000011536308,0.00012984195,0.000011628123],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000030141873,0.000056964578,0.938816,0.000071670496,0.000025546156,0.0000056988224,0.004933382,0.000004173218,0.000002656166,0.031578183,0.0016099163,0.022892764],"study_design_scores_gemma":[0.00006229237,0.000001340256,0.67020136,0.00034010303,0.0000041590943,6.3402575e-7,0.00015223135,0.000001081721,0.0000017606641,0.0010335614,0.32813436,0.00006712528],"about_ca_topic_score_codex":0.000044296234,"about_ca_topic_score_gemma":0.0012136559,"teacher_disagreement_score":0.5391768,"about_ca_system_score_codex":0.00009713342,"about_ca_system_score_gemma":0.00038174828,"threshold_uncertainty_score":0.33224615},"labels":[],"label_agreement":null},{"id":"W2145265689","doi":"10.1016/j.jcjd.2014.07.109","title":"Neighbourhood Walkability and Risk of Obesity","year":2014,"lang":"en","type":"article","venue":"Canadian Journal of Diabetes","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Walkability; Medicine; Neighbourhood (mathematics); Overweight; Obesity; Environmental health; Physical activity; Physical therapy; Internal medicine","score_opus":0.007896207132384364,"score_gpt":0.22192675194170752,"score_spread":0.21403054480932315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2145265689","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949062,0.00048583772,0.000009621636,0.00028125537,0.00016755915,0.000046404595,0.000018310191,0.0000029254215,0.004081878],"genre_scores_gemma":[0.9996432,0.000013799148,0.00012596846,0.000032170265,0.00014907101,2.3577883e-7,3.3392007e-7,0.0000034805985,0.000031714804],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991282,0.00013827583,0.00026562138,0.00008591486,0.00014267788,0.00023926262],"domain_scores_gemma":[0.99872726,0.0001752111,0.00023852344,0.00008974425,0.00020683843,0.0005624292],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001635216,0.00006144937,0.00021495187,0.000082611135,0.0002331999,0.00004015095,0.00020551044,0.00006443286,0.00024118244],"category_scores_gemma":[0.0007152785,0.00005362472,0.00008245607,0.00013029679,0.0004614639,0.00023213019,0.000003741743,0.00014897727,9.87671e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[5.8379743e-7,0.000011255209,0.9914718,0.000013080814,0.000018266426,2.4977984e-7,0.0010401304,7.7385886e-7,0.000019365958,0.00058823056,0.00007168427,0.006764562],"study_design_scores_gemma":[0.00013730225,0.00004861828,0.98666495,0.000021202464,0.0000454695,3.5336395e-8,0.00026027075,0.0000054874663,0.00019335895,0.010863534,0.0017018415,0.000057929694],"about_ca_topic_score_codex":0.020100385,"about_ca_topic_score_gemma":0.25116703,"teacher_disagreement_score":0.23106663,"about_ca_system_score_codex":0.00004807581,"about_ca_system_score_gemma":0.0004984364,"threshold_uncertainty_score":0.98642486},"labels":[],"label_agreement":null},{"id":"W2145410116","doi":"10.1186/1479-5868-7-89","title":"Characteristics of a population of commuter cyclists in the Netherlands: perceived barriers and facilitators in the personal, social and physical environment","year":2010,"lang":"en","type":"article","venue":"International Journal of Behavioral Nutrition and Physical Activity","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":80,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Ministerie van Volksgezondheid, Welzijn en Sport","keywords":"Cycling; Facilitator; Quarter (Canadian coin); Logistic regression; Descriptive statistics; Population; Applied psychology; Psychology; Environmental health; Work (physics); Gerontology; Medicine; Geography; Engineering; Social psychology","score_opus":0.028652858552040663,"score_gpt":0.346624014755182,"score_spread":0.31797115620314137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2145410116","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986918,0.0000056956173,0.0000032229452,0.0010987131,0.000039771778,0.00009478459,0.0000562802,8.12713e-7,0.000008930272],"genre_scores_gemma":[0.99977475,0.000026595319,0.000009618377,0.00001925257,0.00015887446,0.0000031104116,0.000005286968,0.0000016461679,8.543773e-7],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99920326,0.0001773446,0.00014830806,0.00006926065,0.00034099026,0.00006083741],"domain_scores_gemma":[0.99961615,0.0001285597,0.00015334689,0.00002952025,0.000042093285,0.000030362693],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033539513,0.000057298905,0.00015420992,0.00003888938,0.00006687522,0.000030633335,0.000119063734,0.000038929433,0.0000080380305],"category_scores_gemma":[0.000014823614,0.000037874233,0.000057574503,0.0000422463,0.00036111128,0.00023937071,0.000010933389,0.00026747026,3.6058935e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017938633,0.0012466027,0.9232369,0.000013195815,0.000007140906,0.0000039105166,0.05679168,8.608409e-8,0.009068904,0.00023391825,0.000004993016,0.009213303],"study_design_scores_gemma":[0.00047822963,0.000058012047,0.9950094,0.000017929458,0.000017203249,0.0000014596619,0.0031642169,0.000049918865,0.000056382196,0.0010493238,0.000059511687,0.00003837479],"about_ca_topic_score_codex":0.0009450358,"about_ca_topic_score_gemma":0.00040313613,"teacher_disagreement_score":0.07177256,"about_ca_system_score_codex":0.000017166147,"about_ca_system_score_gemma":0.000011515699,"threshold_uncertainty_score":0.15444663},"labels":[],"label_agreement":null},{"id":"W2145476041","doi":"10.7202/022453ar","title":"Étalement urbain et motorisation : où se situe Montréal par rapport à d’autres agglomération?","year":2005,"lang":"fr","type":"article","venue":"Cahiers de géographie du Québec","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Forestry; Geography; Art","score_opus":0.011285147358875232,"score_gpt":0.24399807207979585,"score_spread":0.23271292472092062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2145476041","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92083573,0.018763168,0.0017889407,0.044326633,0.0010302885,0.0007875961,0.000059283702,0.00022266705,0.012185668],"genre_scores_gemma":[0.95727754,0.0017300615,0.00081987976,0.0015594342,0.0012852859,0.00010620721,0.00009604324,0.000040591425,0.03708497],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9965617,0.00043107275,0.00075781875,0.0006760028,0.0006369064,0.0009365129],"domain_scores_gemma":[0.9982457,0.00018158462,0.00035471696,0.0004559967,0.00018727362,0.0005746937],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0018659773,0.00041714855,0.00041342195,0.0002630316,0.0010296189,0.00017717027,0.00044847702,0.00053473294,0.001402896],"category_scores_gemma":[0.00010138816,0.00045609713,0.00048059964,0.0012732652,0.005025764,0.0011010745,0.00002842444,0.00058043463,0.000120121585],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014490058,0.0012190985,0.7034235,0.00014208791,0.00032382383,0.0000713444,0.07092412,0.0005486714,0.00020041966,0.034127098,0.089299515,0.099575415],"study_design_scores_gemma":[0.0008964654,0.00009917968,0.27038893,0.00008063427,0.0003332713,0.0000024893277,0.0034999934,0.00029828656,0.00021921509,0.0033382028,0.72019273,0.00065063895],"about_ca_topic_score_codex":0.108767286,"about_ca_topic_score_gemma":0.5462105,"teacher_disagreement_score":0.6308932,"about_ca_system_score_codex":0.00080619846,"about_ca_system_score_gemma":0.0016375897,"threshold_uncertainty_score":0.99978906},"labels":[],"label_agreement":null},{"id":"W2145976859","doi":"10.1177/0042098014538526","title":"Understanding continuity in sustainable transport planning in Curitiba","year":2014,"lang":"en","type":"article","venue":"Urban Studies","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Curitiba; Context (archaeology); Public transport; Technocracy; Citizen journalism; Environmental planning; Participatory planning; Urban planning; Political science; Public administration; Public relations; Economic growth; Transport engineering; Politics; Engineering; Geography; Economics; Civil engineering; Humanities","score_opus":0.10871475381867396,"score_gpt":0.35050763838913546,"score_spread":0.2417928845704615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2145976859","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9220805,0.00272325,0.00031663175,0.00045705016,0.00014461804,0.0002700975,0.0000016566014,0.00007328656,0.07393288],"genre_scores_gemma":[0.99689794,0.00005577679,0.000027789536,0.00006310211,0.00010784841,0.000016995844,0.0000020474033,0.0000072727307,0.002821207],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985723,0.00008818314,0.00029549398,0.0002721772,0.00023090976,0.000540924],"domain_scores_gemma":[0.9995326,0.00020040364,0.000055652286,0.000107585285,0.00005056038,0.000053215383],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015345657,0.00011737372,0.00032195268,0.00014303195,0.0003254875,0.00002699746,0.00016336961,0.000070878035,0.00002118957],"category_scores_gemma":[0.0001652177,0.000115460345,0.00004892979,0.00047283634,0.00036086055,0.00033704677,0.000018140145,0.00017513197,0.000002055721],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015397223,0.000038103935,0.87322396,0.00005074567,0.0000084380445,0.000034702887,0.064077675,0.000011839236,0.0000016930808,0.062203545,0.00028577386,0.000048099682],"study_design_scores_gemma":[0.0007151906,0.000023985913,0.80055434,0.0001425295,0.000012559568,4.7797794e-8,0.12507853,0.000012230687,0.00001109136,0.054184675,0.019035246,0.000229544],"about_ca_topic_score_codex":0.0027343703,"about_ca_topic_score_gemma":0.034280743,"teacher_disagreement_score":0.07481743,"about_ca_system_score_codex":0.0004123612,"about_ca_system_score_gemma":0.00005570752,"threshold_uncertainty_score":0.9833411},"labels":[],"label_agreement":null},{"id":"W2145997886","doi":"10.5539/jsd.v7n5p13","title":"Analyzing Growth Patterns of Greater Kumasi Metropolitan Area Using GIS and Multiple Regression Techniques","year":2014,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Urbanization; Geography; Population growth; Population; Regression analysis; Economic geography; Work (physics); Regional science; Socioeconomics; Economic growth; Demography; Statistics; Mathematics; Economics","score_opus":0.022812742883607424,"score_gpt":0.28456348142301235,"score_spread":0.26175073853940495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2145997886","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99326473,0.00012151013,0.005733741,0.00014949054,0.000047199155,0.0001221807,6.2546485e-7,0.0000126942905,0.00054780196],"genre_scores_gemma":[0.9910748,0.00004113727,0.00845813,0.00001669128,0.00007484349,0.0000010129463,8.098494e-7,0.000008772222,0.00032379982],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99849516,0.0001136534,0.00055408804,0.00013700956,0.00037667312,0.00032340558],"domain_scores_gemma":[0.99854076,0.0000656315,0.0004895636,0.00008544677,0.0006785894,0.00013998798],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017560837,0.000119251235,0.000314645,0.00030321325,0.0003495751,0.00006060221,0.0001919302,0.000078528465,0.00003357923],"category_scores_gemma":[0.00023533862,0.000088610264,0.000069116555,0.00023860543,0.000110259454,0.00048546013,0.000048311147,0.00013430449,8.948395e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034057986,0.00004303184,0.9921161,0.00013037873,0.000032144304,0.00003565752,0.005037484,9.449806e-7,0.00046477024,0.00048147127,0.00002286726,0.0016010872],"study_design_scores_gemma":[0.0007092272,0.0001303522,0.86835825,0.0006105842,0.000090717505,0.0000069431294,0.06182094,0.000043874214,0.0600237,0.0027192128,0.0051327953,0.0003534073],"about_ca_topic_score_codex":0.0013738098,"about_ca_topic_score_gemma":0.00012223893,"teacher_disagreement_score":0.123757854,"about_ca_system_score_codex":0.0005405767,"about_ca_system_score_gemma":0.00029811618,"threshold_uncertainty_score":0.36134216},"labels":[],"label_agreement":null},{"id":"W2146476654","doi":"10.1080/00330124.2010.510087","title":"Modeling Spatial Accessibility of Immigrants to Culturally Diverse Family Physicians","year":2010,"lang":"en","type":"article","venue":"The Professional Geographer","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Mainland; Immigration; Socioeconomic status; Geography; Catchment area; Metropolitan area; Gravity model of trade; Census; Multiculturalism; Spatial mismatch; Regional science; Demographic economics; Socioeconomics; Medicine; Environmental health; Business; Psychology; Sociology; Population; Cartography; Drainage basin; Economics","score_opus":0.023126837979443718,"score_gpt":0.3236914444438169,"score_spread":0.3005646064643732,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146476654","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9939454,0.00003573996,0.00037266963,0.0012060705,0.001269049,0.00052508747,0.000040083796,0.000060468712,0.0025454254],"genre_scores_gemma":[0.99796593,0.0000056081444,0.00034884523,0.00046486448,0.00031355605,0.000027731998,0.000007724817,0.000009142975,0.00085660396],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981826,0.00015717074,0.00031602217,0.000319269,0.0006611591,0.000363811],"domain_scores_gemma":[0.9990522,0.00007225436,0.000105626365,0.000364854,0.00028626667,0.00011876874],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009326925,0.00014517832,0.00020599515,0.00004684201,0.00080310454,0.00003631116,0.00084264454,0.00012424306,0.0004150213],"category_scores_gemma":[0.000067362205,0.00008902738,0.00020148646,0.00047506916,0.00044211763,0.00029917175,0.00011411219,0.00038991056,0.000020988042],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025977154,0.0005037145,0.91829574,0.000028098984,0.000050906245,0.000001566868,0.025552105,0.00014001987,0.033171415,0.0010982787,0.00042421522,0.020474171],"study_design_scores_gemma":[0.00028785423,0.000019709563,0.9822846,0.000054223336,0.000043171574,3.965365e-8,0.010619491,0.0004560962,0.00048913516,0.004909732,0.00061661366,0.00021930643],"about_ca_topic_score_codex":0.028087033,"about_ca_topic_score_gemma":0.045338515,"teacher_disagreement_score":0.063988894,"about_ca_system_score_codex":0.000010346933,"about_ca_system_score_gemma":0.00013651828,"threshold_uncertainty_score":0.97838503},"labels":[],"label_agreement":null},{"id":"W2146939970","doi":"10.1016/j.healthplace.2008.07.001","title":"Environmental influences on physical activity levels in youth","year":2008,"lang":"en","type":"article","venue":"Health & Place","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":160,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Middlesex London Health Unit; Western University","funders":"Canadian Institutes of Health Research","keywords":"Recreation; Physical activity; Perception; Psychology; Level design; Recall; Gerontology; Environmental health; Medicine; Physical therapy; Multimedia","score_opus":0.07302336073936544,"score_gpt":0.3501944256680049,"score_spread":0.27717106492863947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146939970","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99634117,0.000043755954,0.0000059923905,0.0012093751,0.00008626305,0.00020830966,0.000044095377,0.000036290436,0.0020247318],"genre_scores_gemma":[0.9990984,0.000040353407,0.000019728775,0.00041142863,0.00013656434,0.000005221312,0.0000032107873,0.000004529022,0.0002805466],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99878436,0.00017402325,0.00011471764,0.0002411046,0.00034313498,0.00034264207],"domain_scores_gemma":[0.9995679,0.00009764511,0.00006800015,0.00011606736,0.0000031926402,0.00014714099],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035671899,0.00008485747,0.00016411731,0.000031197374,0.00043081943,0.000009656002,0.00013645632,0.00004990967,0.000065286105],"category_scores_gemma":[0.000021200587,0.00007903902,0.00003765098,0.00013861396,0.0002687069,0.0002280981,0.000009615711,0.0002031806,0.000052108775],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000064071864,0.0006551541,0.91913277,0.00001202096,0.000002345635,0.000010808341,0.07292784,0.000026741625,0.000039890037,0.0001267612,0.00013560854,0.0068660094],"study_design_scores_gemma":[0.00020258079,0.000053777123,0.9970672,0.000013164897,0.0000010466399,1.1337034e-7,0.0014318746,0.000015394797,0.000081599275,0.00006992324,0.0009796511,0.0000836474],"about_ca_topic_score_codex":0.007911771,"about_ca_topic_score_gemma":0.003332844,"teacher_disagreement_score":0.07793448,"about_ca_system_score_codex":0.00025876943,"about_ca_system_score_gemma":0.00030543955,"threshold_uncertainty_score":0.99869466},"labels":[],"label_agreement":null},{"id":"W2147094744","doi":"10.1177/0739456x08321799","title":"Fronts and Backs","year":2008,"lang":"en","type":"article","venue":"Journal of Planning Education and Research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Yard; Recreation; Front (military); De facto; Geography; Work (physics); Sociology; Political science; Engineering; Law","score_opus":0.15396551670505862,"score_gpt":0.49096983984263054,"score_spread":0.3370043231375719,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147094744","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98692244,0.0023796218,0.000011777028,0.0015388017,0.00020103213,0.00003464356,2.8559978e-7,0.000002235848,0.008909184],"genre_scores_gemma":[0.99582034,0.000398162,0.00027074045,0.000032376483,0.00036321805,4.7910834e-7,3.5708968e-7,0.0000016565726,0.003112675],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992957,0.00011048234,0.000114181035,0.000053764128,0.00031589306,0.00010993838],"domain_scores_gemma":[0.9994314,0.00010766049,0.00004752757,0.000031241045,0.00024755142,0.00013465363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013267525,0.000023317169,0.000061468636,0.000118384305,0.00048199174,0.000041082738,0.000072694835,0.000036532794,0.00006560988],"category_scores_gemma":[0.00017667632,0.000017931847,0.000012643945,0.00011670037,0.00026531264,0.00018859723,0.000006976825,0.00021845617,0.0000015363713],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014815539,0.0000732861,0.95258874,0.000007535982,0.000003993958,0.0000059866916,0.028396113,2.0653769e-7,0.000043385196,0.00009041958,0.014017543,0.004758005],"study_design_scores_gemma":[0.0000929761,0.000029048866,0.93488944,0.000041155803,0.0000019689833,0.000009827878,0.0054451344,0.0000016517174,0.000018925044,0.00074800913,0.058697004,0.000024876525],"about_ca_topic_score_codex":0.00033031235,"about_ca_topic_score_gemma":0.000028700446,"teacher_disagreement_score":0.044679463,"about_ca_system_score_codex":0.000023126851,"about_ca_system_score_gemma":0.0005957661,"threshold_uncertainty_score":0.37071395},"labels":[],"label_agreement":null},{"id":"W2147726063","doi":"10.1186/1479-5868-8-125","title":"In search of causality: a systematic review of the relationship between the built environment and physical activity among adults","year":2011,"lang":"en","type":"review","venue":"International Journal of Behavioral Nutrition and Physical Activity","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":902,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Quebec Population Health Research Network","funders":"Canadian Institutes of Health Research; Alberta Heritage Foundation for Medical Research","keywords":"Built environment; Null hypothesis; Recreation; Causality (physics); Psychology; Cross-sectional study; Physical activity; Public health; Population; Environmental health; Gerontology; Medicine; Econometrics; Ecology; Mathematics; Biology","score_opus":0.14806089035997735,"score_gpt":0.42760777763148355,"score_spread":0.27954688727150623,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147726063","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8549169,0.143708,0.0000066125285,0.00025066498,0.00007121149,0.000911689,0.00011894308,0.0000019774272,0.00001402358],"genre_scores_gemma":[0.6985985,0.3012061,0.0000030531437,0.0000035130265,0.00015196174,0.000020764328,0.000002819235,0.0000053108115,0.000007975658],"study_design_codex":"systematic_review","study_design_gemma":"observational","domain_scores_codex":[0.99727577,0.001132466,0.00051214563,0.00017512006,0.0007863209,0.000118183016],"domain_scores_gemma":[0.99757445,0.0008572598,0.0011588669,0.00017290568,0.00015993303,0.00007655988],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009525335,0.00017213274,0.0011803621,0.00007838669,0.0000886683,0.000025822554,0.00046371474,0.0001071695,0.000008688508],"category_scores_gemma":[0.00011227067,0.00009917168,0.00049043907,0.00019136364,0.00065023336,0.00043038552,0.000084012914,0.0006774581,4.561055e-7],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019645056,0.011263155,0.277372,0.55046105,0.00042056455,0.00001729206,0.0077160783,1.6732506e-7,0.000017967033,0.0012710207,0.00003497171,0.15122928],"study_design_scores_gemma":[0.00067077484,0.00016157894,0.5988975,0.3946329,0.002341222,0.0000063538114,0.00023856938,0.0000038219346,0.000065609805,0.0017596405,0.00094119954,0.00028080694],"about_ca_topic_score_codex":0.0013322347,"about_ca_topic_score_gemma":0.00009978698,"teacher_disagreement_score":0.3215255,"about_ca_system_score_codex":0.00013045245,"about_ca_system_score_gemma":0.00011599658,"threshold_uncertainty_score":0.40441036},"labels":[],"label_agreement":null},{"id":"W2147813932","doi":"10.1093/heapro/dam015","title":"Use of local area facilities for involvement in physical activity in Canada: insights for developing environmental and policy interventions","year":2007,"lang":"en","type":"article","venue":"Health Promotion International","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Montréal; WSP (Canada)","funders":"","keywords":"Psychological intervention; Environmental health; Physical activity; Environmental planning; Business; Medicine; Geography; Nursing; Physical medicine and rehabilitation","score_opus":0.16285460435772608,"score_gpt":0.3971144866408207,"score_spread":0.23425988228309463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147813932","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95269513,0.000014603676,0.04438701,0.0020099715,0.00011596927,0.00059596566,0.00015591188,0.0000039112247,0.000021521695],"genre_scores_gemma":[0.9992737,0.000014792781,0.00039422832,0.00005106135,0.000052587293,0.000065524466,0.00005392545,0.0000027184856,0.00009142311],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999193,0.00003951681,0.00026942405,0.00014223976,0.00018415728,0.0001716703],"domain_scores_gemma":[0.99964064,0.00013662984,0.00011111103,0.000033597884,0.000031039388,0.000046964175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041161745,0.000054181914,0.00011610172,0.00012562971,0.00008806349,0.000009485167,0.00006126756,0.000025537842,0.000009778649],"category_scores_gemma":[0.000043245098,0.000056555484,0.00003614374,0.000065272565,0.000092195194,0.0002536476,0.000013834826,0.000053822245,7.396748e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017703313,0.0011921602,0.88193417,0.0006032952,0.000025278774,0.0000010192323,0.01849726,0.000042761487,0.00014322664,0.03546145,0.00007614613,0.061846197],"study_design_scores_gemma":[0.00046194287,0.00006109611,0.99064124,0.000117576696,0.0000012144769,5.2817057e-8,0.003050974,0.000823305,0.0004101075,0.0027612597,0.0016063161,0.000064895066],"about_ca_topic_score_codex":0.6526112,"about_ca_topic_score_gemma":0.9792545,"teacher_disagreement_score":0.3266433,"about_ca_system_score_codex":0.0020138733,"about_ca_system_score_gemma":0.0010122618,"threshold_uncertainty_score":0.52662086},"labels":[],"label_agreement":null},{"id":"W2147839630","doi":"10.1080/0144164042000272470","title":"Impacts of transport on sustainability: towards an integrated transatlantic evidence base","year":2004,"lang":"en","type":"article","venue":"Transport Reviews","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"","keywords":"Sustainability; Externality; Equity (law); Incentive; Public economics; European union; Public transport; Sustainable transport; Business; Economics; Environmental economics; Transport engineering; Political science; Engineering; Economic policy; Microeconomics","score_opus":0.06499017229538276,"score_gpt":0.3661441150470984,"score_spread":0.3011539427517156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147839630","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9874414,0.003710007,0.0033621555,0.0017370511,0.00018372209,0.0022315225,0.000059107097,0.00018688374,0.0010881177],"genre_scores_gemma":[0.9926554,0.0059849652,0.0006812666,0.00024810093,0.00011885703,0.000066239656,0.00009049933,0.000033034063,0.000121661484],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99582016,0.0003450562,0.0014533023,0.0007913947,0.0008333165,0.00075678807],"domain_scores_gemma":[0.9978319,0.000068315705,0.00030484618,0.0008712354,0.00036942196,0.0005543004],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0037624114,0.00044914457,0.0011514802,0.00016803885,0.00028245067,0.000022572876,0.0008274764,0.00025294034,0.0007797419],"category_scores_gemma":[0.00019630513,0.00035527133,0.0006465135,0.0012040894,0.0007435596,0.0010876913,0.0000023310356,0.00043904327,0.000019023912],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001103821,0.003418275,0.82858413,0.004360494,0.00008902402,0.00028735748,0.055847283,0.00023753916,0.0009800374,0.006427068,0.000043653086,0.09862133],"study_design_scores_gemma":[0.0018482459,0.0011359062,0.91631764,0.003640548,0.00065341283,0.000002192212,0.002804464,0.000003669274,0.0037110313,0.0049037174,0.06373151,0.0012476655],"about_ca_topic_score_codex":0.032907505,"about_ca_topic_score_gemma":0.04949149,"teacher_disagreement_score":0.097373664,"about_ca_system_score_codex":0.00037070623,"about_ca_system_score_gemma":0.0019488654,"threshold_uncertainty_score":0.9998899},"labels":[],"label_agreement":null},{"id":"W2147854076","doi":"10.3141/1828-01","title":"Economic Value of Walkability","year":2003,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":77,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Transport Canada","funders":"","keywords":"Walkability; Public transport; Transport engineering; Equity (law); Business; Poison control; Land use; Variety (cybernetics); Environmental planning; Built environment; Environmental health; Computer science; Geography; Engineering; Medicine; Civil engineering; Political science","score_opus":0.09148600711192453,"score_gpt":0.4210897372528185,"score_spread":0.32960373014089395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147854076","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99247134,0.00025027207,0.0004064556,0.0019996697,0.0007934247,0.00092486927,0.00006266436,0.000020773785,0.0030705584],"genre_scores_gemma":[0.997232,0.00058069325,0.0011142994,0.00001964315,0.00016637695,0.000027643739,0.0000057754123,0.00003150952,0.00082202215],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9897511,0.003388578,0.0018206729,0.00043269838,0.0036322773,0.000974656],"domain_scores_gemma":[0.99381065,0.0015137121,0.0006297728,0.0005928718,0.00297482,0.00047817756],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.014298877,0.00020920947,0.0005472653,0.00065925793,0.0010107921,0.00009769856,0.0014242583,0.00025200646,0.001526824],"category_scores_gemma":[0.0005410348,0.00016501726,0.00060877734,0.0017066832,0.0022866784,0.0008950504,0.0000036653346,0.001745608,0.000021899465],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004753022,0.00030246307,0.93529373,0.00015348184,0.000086960186,0.000018075221,0.0068794354,0.00037925667,0.00073212635,0.052789137,0.0013467432,0.0015432999],"study_design_scores_gemma":[0.00093548355,0.00024432212,0.9321729,0.00013997937,0.000045570683,5.362478e-8,0.0050155865,0.000009876366,0.0027635451,0.02397259,0.03453891,0.00016117484],"about_ca_topic_score_codex":0.05390229,"about_ca_topic_score_gemma":0.2277608,"teacher_disagreement_score":0.17385851,"about_ca_system_score_codex":0.00048035602,"about_ca_system_score_gemma":0.0026715747,"threshold_uncertainty_score":0.9993859},"labels":[],"label_agreement":null},{"id":"W214799783","doi":"","title":"Getting committed: A new perspective on public transit market segmentation from two Canadian cities","year":2015,"lang":"en","type":"article","venue":"Transportation Research Board 94th Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Market segmentation; Transit (satellite); Public transport; Business; Perspective (graphical); Marketing; Customer base; Cluster analysis; Market research; Transport engineering; Geography; Computer science; Engineering","score_opus":0.1212716047189682,"score_gpt":0.42077307161539906,"score_spread":0.29950146689643087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W214799783","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9109496,0.0005071395,0.00059245725,0.029001912,0.00050339766,0.0029363043,0.0012452559,0.0004621964,0.053801768],"genre_scores_gemma":[0.989594,0.00017999286,0.001930442,0.00045983077,0.0011284524,0.00027683438,0.0011991905,0.00012199153,0.005109254],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9826866,0.0034205252,0.0013703214,0.0017227663,0.0076507055,0.003149098],"domain_scores_gemma":[0.98548275,0.0019136053,0.00026138267,0.0007690956,0.0074092774,0.0041638855],"candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.011850508,0.0005921927,0.0007018129,0.0023616604,0.0031973042,0.00089210115,0.0014578388,0.0005303591,0.0027394302],"category_scores_gemma":[0.0014051548,0.0006483394,0.00034075897,0.0040106564,0.0018708863,0.0023700215,0.000010725776,0.0026652506,0.00027109796],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025220646,0.000422425,0.6512899,0.000094927585,0.0002760107,0.00038397755,0.24947605,0.0005536566,0.00024149433,0.035557825,0.05161996,0.0075617],"study_design_scores_gemma":[0.0041637514,0.0005982165,0.5544389,0.000261304,0.00007619758,1.0555006e-7,0.33617926,0.00012363362,0.00052275753,0.0223809,0.08028184,0.0009731395],"about_ca_topic_score_codex":0.9318654,"about_ca_topic_score_gemma":0.9752519,"teacher_disagreement_score":0.096851006,"about_ca_system_score_codex":0.0026004505,"about_ca_system_score_gemma":0.00925714,"threshold_uncertainty_score":0.99963564},"labels":[],"label_agreement":null},{"id":"W2148386210","doi":"10.1007/s11116-013-9454-9","title":"Transit to eternal youth: lifecycle and generational trends in Greater Montreal public transport mode share","year":2013,"lang":"en","type":"article","venue":"Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":93,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Public transport; TRIPS architecture; Suburbanization; Mode choice; Pace; Demographic economics; Workforce; Geography; Economic growth; Business; Demography; Economics; Transport engineering; Sociology; Population; Engineering","score_opus":0.03888472883012083,"score_gpt":0.28673472393011235,"score_spread":0.2478499950999915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148386210","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99407,0.0000372177,0.0011268808,0.001959506,0.00008231142,0.0003403147,0.0002823936,0.00008052955,0.0020208526],"genre_scores_gemma":[0.99785376,0.000011645485,0.00033092056,0.00021054462,0.00013429153,0.000078412835,0.0008543208,0.000016718692,0.00050939334],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99833924,0.00004806134,0.00041241501,0.00041272404,0.00040405616,0.0003835142],"domain_scores_gemma":[0.9994372,0.000013829273,0.00004801411,0.00012037333,0.00009577826,0.0002847651],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001952297,0.00017168208,0.00020867627,0.00023750603,0.00019937388,0.00009056414,0.00016048456,0.00013593177,0.00158767],"category_scores_gemma":[0.0000032362361,0.00017030592,0.0000845891,0.00043449647,0.0000893482,0.001047486,8.6024806e-7,0.00013032713,0.000016594706],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042769603,0.00008338958,0.9338684,0.000012106598,0.000012378269,0.00000796423,0.052136768,0.00026249437,0.00024995956,0.00036049544,0.000048879338,0.012914374],"study_design_scores_gemma":[0.00057987537,0.000027629569,0.99728733,0.000016560713,0.000025513424,9.4919514e-8,0.0010565316,0.00018092127,0.00007947233,0.0004003698,0.00013842722,0.00020724376],"about_ca_topic_score_codex":0.04086791,"about_ca_topic_score_gemma":0.29041228,"teacher_disagreement_score":0.24954437,"about_ca_system_score_codex":0.000055037606,"about_ca_system_score_gemma":0.000066154185,"threshold_uncertainty_score":0.99932504},"labels":[],"label_agreement":null},{"id":"W2148448833","doi":"10.1123/jpah.6.3.367","title":"Testing the Reliability of Neighborhood-Specific Measures of Physical Activity Among Canadian Adults","year":2009,"lang":"en","type":"article","venue":"Journal of Physical Activity and Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"South Health Campus; University of Calgary","funders":"National Health and Medical Research Council; Canadian Institutes of Health Research; Health Research Board","keywords":"Intraclass correlation; Physical activity; Walkability; Reliability (semiconductor); Recreation; Physical therapy; Spearman's rank correlation coefficient; Psychology; Test (biology); Rank correlation; Physical fitness; Gerontology; Medicine; Psychometrics; Statistics; Developmental psychology; Mathematics","score_opus":0.06848396241094852,"score_gpt":0.3339194705444182,"score_spread":0.26543550813346967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148448833","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945802,0.00005857407,0.00004393147,0.004189799,0.00005834973,0.00020745765,0.000015528049,0.0000067967576,0.0008393647],"genre_scores_gemma":[0.9993976,0.000025608299,0.000029918114,0.00003700587,0.00050045655,6.6197504e-7,2.2195584e-7,0.0000043040864,0.000004222115],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99828964,0.00033501632,0.0002710936,0.00018436283,0.0005849649,0.0003349314],"domain_scores_gemma":[0.99788517,0.000521346,0.0006939334,0.00018018807,0.00033650707,0.0003828589],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014974101,0.00012716762,0.00056653575,0.00005801419,0.00043624398,0.000027201957,0.0002537138,0.00006280513,0.0000035002213],"category_scores_gemma":[0.00023968282,0.00008465781,0.0002054516,0.00039233916,0.0005483978,0.0005775094,0.000011046306,0.00055020174,2.1485772e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003813166,0.0035390302,0.5944784,0.00016800094,0.000032364776,0.000004054248,0.018852666,0.000060018425,0.004300549,0.0028878874,0.00009977439,0.37519592],"study_design_scores_gemma":[0.0002433481,0.00056626427,0.993105,0.000110435496,0.000017089804,3.0395583e-7,0.0003561967,0.00036491329,0.0009685906,0.004102573,0.00008893508,0.000076338234],"about_ca_topic_score_codex":0.1343573,"about_ca_topic_score_gemma":0.06305764,"teacher_disagreement_score":0.3986266,"about_ca_system_score_codex":0.0001763442,"about_ca_system_score_gemma":0.0010232924,"threshold_uncertainty_score":0.9540391},"labels":[],"label_agreement":null},{"id":"W2148589343","doi":"10.3141/1898-23","title":"Empirical Analysis of Travel and Housing Expenditures in the Greater Toronto, Canada, Area","year":2004,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University; University of Toronto","funders":"","keywords":"Census; Real estate; Travel behavior; Travel time; Geography; Agricultural economics; Transport engineering; Business; Demographic economics; Economics; Finance; Demography; Engineering; Population","score_opus":0.12280735600927342,"score_gpt":0.42158745391050684,"score_spread":0.2987800979012334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148589343","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9929698,0.00037178284,0.00026730407,0.005252887,0.00013939901,0.0005715218,0.00006726523,0.0000053486533,0.00035467095],"genre_scores_gemma":[0.99905044,0.000463699,0.00019715186,0.00008123032,0.000083622894,0.000020958154,0.000012487007,0.000014360267,0.00007605055],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9925576,0.0013007044,0.0011570309,0.00032235007,0.0039707264,0.0006916063],"domain_scores_gemma":[0.99710023,0.00087309774,0.00032684268,0.0003353398,0.0011161467,0.00024833524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00599139,0.00016977172,0.00049906253,0.00059167185,0.00069886,0.00010672789,0.0010298372,0.00015144999,0.00030145576],"category_scores_gemma":[0.00012136417,0.000108251,0.00031035565,0.00228615,0.001056471,0.00059894816,0.0000034418981,0.00112864,3.1322813e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040176066,0.00015915261,0.9639172,0.000049753406,0.00019474693,0.00008914043,0.03234587,0.00073840166,0.00019190466,0.00083120744,0.00039703216,0.0006838192],"study_design_scores_gemma":[0.0007488539,0.00011439087,0.96811336,0.00009878804,0.00016800719,5.9114726e-8,0.028090205,0.000013398286,0.00022412311,0.0013284367,0.0009934596,0.00010692033],"about_ca_topic_score_codex":0.93405694,"about_ca_topic_score_gemma":0.998637,"teacher_disagreement_score":0.064580075,"about_ca_system_score_codex":0.00052786915,"about_ca_system_score_gemma":0.0019788695,"threshold_uncertainty_score":0.5375137},"labels":[],"label_agreement":null},{"id":"W2148624710","doi":"10.1177/0042098014528392","title":"Gender and commuting time in São Paulo Metropolitan Region","year":2014,"lang":"en","type":"article","venue":"Urban Studies","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":75,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Microdata (statistics); Metropolitan area; Marital status; Census; Demographic economics; Empirical research; Geography; Sociology; Demography; Socioeconomics; Population; Economics","score_opus":0.063397861097332,"score_gpt":0.33301952284522823,"score_spread":0.26962166174789626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148624710","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9473684,0.0053345156,0.000026978312,0.00043107942,0.00009369097,0.00011590587,9.238026e-7,0.00006255492,0.04656595],"genre_scores_gemma":[0.99830204,0.00011743251,0.00009401202,0.00013092678,0.00016222954,0.0000052082114,9.897758e-7,0.0000055508085,0.0011816187],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99907124,0.00016170189,0.00016964422,0.000192057,0.00015118315,0.00025419236],"domain_scores_gemma":[0.99953187,0.00019309616,0.000051721443,0.0001260849,0.00004794443,0.000049279322],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071393873,0.00008735234,0.00021106795,0.000053805048,0.00039615508,0.00002578924,0.00011002817,0.00004432427,0.000016187618],"category_scores_gemma":[0.00022761348,0.000074658696,0.00003073592,0.00018065968,0.00033470633,0.00013887363,0.000042735526,0.00009272947,0.000010386933],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000049852547,0.000023482053,0.961945,0.000020170357,0.000022989874,0.00000265259,0.028658113,1.18883236e-7,0.000008464229,0.00501806,0.0030965006,0.0011994892],"study_design_scores_gemma":[0.00046896373,0.00004147818,0.88385177,0.00005069513,0.00004173791,2.6714562e-7,0.075449266,0.000041209223,0.000029621668,0.023301763,0.016436365,0.00028685623],"about_ca_topic_score_codex":0.0007415089,"about_ca_topic_score_gemma":0.0057127667,"teacher_disagreement_score":0.0780932,"about_ca_system_score_codex":0.000107227956,"about_ca_system_score_gemma":0.000015291134,"threshold_uncertainty_score":0.3187858},"labels":[],"label_agreement":null},{"id":"W2149135925","doi":"10.1123/jpah.10.7.961","title":"Do Motivation-Related Cognitions Explain the Relationship Between Perceptions of Urban Form and Neighborhood Walking?","year":2013,"lang":"en","type":"article","venue":"Journal of Physical Activity and Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Walkability; Theory of planned behavior; Association (psychology); Recreation; Perception; Psychology; Psychological intervention; Social psychology; Structural equation modeling; Environmental health; Applied psychology; Physical activity; Control (management); Medicine; Physical therapy; Computer science; Ecology","score_opus":0.07079618700743795,"score_gpt":0.35790077361285694,"score_spread":0.287104586605419,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149135925","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98986375,0.00005409627,0.0002785264,0.0090501,0.000025161866,0.00018866095,0.000010892606,0.00000632383,0.0005224572],"genre_scores_gemma":[0.9996339,0.000028228493,0.000035816505,0.000040724426,0.00022775755,0.0000028917432,0.0000019077947,0.0000034144969,0.000025373993],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99914163,0.00016948873,0.0002393539,0.00008365761,0.00022642428,0.00013942471],"domain_scores_gemma":[0.998202,0.0011206385,0.00034401222,0.00006183841,0.00012615496,0.00014535576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064967124,0.00006290598,0.00021231952,0.000049294627,0.0007349474,0.00004879395,0.00007827669,0.000049872124,0.00003983487],"category_scores_gemma":[0.00017747309,0.000042347103,0.00007312312,0.00020532527,0.00028784332,0.00075662823,0.000010655557,0.00034181104,0.0000012353746],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003971542,0.00018345726,0.9635512,0.000022409358,0.000014780809,7.1877366e-8,0.016063707,3.5363962e-7,0.0000457699,0.011323474,0.00008322121,0.008707535],"study_design_scores_gemma":[0.00019199603,0.00010766961,0.9167042,0.000047364985,0.000024694225,3.0263516e-7,0.0025678559,0.000018208086,0.000007830829,0.08027753,0.000013319637,0.00003907086],"about_ca_topic_score_codex":0.0008214038,"about_ca_topic_score_gemma":0.00018053816,"teacher_disagreement_score":0.06895406,"about_ca_system_score_codex":0.00004233736,"about_ca_system_score_gemma":0.00015466205,"threshold_uncertainty_score":0.56526953},"labels":[],"label_agreement":null},{"id":"W2149371456","doi":"10.3141/2082-19","title":"Two Cities, Two Realities?","year":2008,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal; University of Toronto","funders":"","keywords":"Urban sprawl; Geography; Demographic economics; Affect (linguistics); Regression analysis; Multivariate statistics; Population; Multivariate analysis; Variables; Car ownership; Travel behavior; Demography; Public transport; Urban planning; Transport engineering; Sociology; Economics; Statistics","score_opus":0.16082300067849442,"score_gpt":0.441547910318368,"score_spread":0.28072490963987357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149371456","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98628336,0.00040649198,0.0004148345,0.004933104,0.000931947,0.0010244024,0.00009465153,0.00006671441,0.0058444766],"genre_scores_gemma":[0.98972666,0.0020159078,0.0010846789,0.00009785221,0.0008222105,0.000059422226,0.000024909765,0.000055089986,0.006113281],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98648775,0.002785841,0.0017643444,0.00053165795,0.006913228,0.001517176],"domain_scores_gemma":[0.9913329,0.001456637,0.0005589191,0.00065154216,0.0052482774,0.00075172604],"candidate_categories":["sts","research_integrity","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.009036458,0.0002933202,0.0005876288,0.0009919609,0.0032466268,0.00018126979,0.0020319822,0.00021479781,0.0014793173],"category_scores_gemma":[0.00034217295,0.00023239848,0.0006289158,0.0032244087,0.0036516662,0.0014635444,0.000007867889,0.0028897484,0.0000423524],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00096607645,0.00030932858,0.94034976,0.00010476054,0.000117327785,0.000327583,0.024967019,0.00018289428,0.0004447375,0.018770788,0.010922837,0.002536888],"study_design_scores_gemma":[0.002120119,0.00025246953,0.89913976,0.00020639121,0.000044998047,4.6693512e-7,0.010274213,0.000011403078,0.0004966851,0.011905813,0.075277835,0.00026984236],"about_ca_topic_score_codex":0.17656378,"about_ca_topic_score_gemma":0.41753474,"teacher_disagreement_score":0.24097097,"about_ca_system_score_codex":0.0005093928,"about_ca_system_score_gemma":0.0028669597,"threshold_uncertainty_score":0.99943346},"labels":[],"label_agreement":null},{"id":"W2149517093","doi":"10.1016/j.trf.2009.04.001","title":"Exploring the route choice decision-making process: A comparison of planned and observed routes obtained using person-based GPS","year":2009,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":175,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; McMaster University","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Global Positioning System; Computer science; Route planning; Preference; Data collection; Process (computing); Operations research; Transport engineering; Engineering; Telecommunications","score_opus":0.35756635011564786,"score_gpt":0.4814967458865447,"score_spread":0.12393039577089682,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149517093","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971449,0.00038609855,0.00022779613,0.0014104691,0.00011776734,0.00053134706,0.000031839816,0.00006409363,0.000085681175],"genre_scores_gemma":[0.9993392,0.000041770818,0.00039060815,0.00007958192,0.0000613838,0.000040034676,0.000026490745,0.0000098088185,0.0000111178015],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976966,0.00030540666,0.00045525772,0.00045736178,0.0005998863,0.0004854896],"domain_scores_gemma":[0.9985464,0.0007182473,0.00014240011,0.00020046119,0.00025043415,0.00014204865],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016228306,0.00015817172,0.000305203,0.00016835275,0.00093212683,0.00006595662,0.00029753536,0.00013884752,0.000043766006],"category_scores_gemma":[0.00011476504,0.00012804523,0.000069596215,0.0006263081,0.00071572245,0.00040238805,0.0000018716526,0.00045366638,6.1714616e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042531991,0.00035951016,0.9607264,0.000031158,0.000014118238,0.000011711399,0.016587598,0.0005031968,0.00018510102,0.00014198177,0.00003312357,0.020980822],"study_design_scores_gemma":[0.00071923865,0.0002134719,0.98957807,0.00016351674,0.00005334084,2.1487709e-7,0.008156368,0.00059812074,0.00007388083,0.00020744256,0.000094886,0.00014147496],"about_ca_topic_score_codex":0.00037059703,"about_ca_topic_score_gemma":0.006784967,"teacher_disagreement_score":0.028851684,"about_ca_system_score_codex":0.000022297707,"about_ca_system_score_gemma":0.00015486065,"threshold_uncertainty_score":0.71692604},"labels":[],"label_agreement":null},{"id":"W2149642289","doi":"10.1016/j.ypmed.2008.04.004","title":"A hierarchy of sociodemographic and environmental correlates of walking and obesity","year":2008,"lang":"en","type":"article","venue":"Preventive Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":190,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Centers for Disease Control and Prevention; Georgia Department of Transportation; Robert Wood Johnson Foundation","keywords":"Walkability; Overweight; Medicine; Built environment; Obesity; Environmental health; Psychological intervention; Gerontology; Demography; Level design; Population; Body mass index; Affect (linguistics); Ethnic group; Physical activity; Psychology; Physical therapy","score_opus":0.015289310658024127,"score_gpt":0.26098393453030794,"score_spread":0.2456946238722838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149642289","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950344,0.003937431,0.00008149703,0.00010987663,0.00003687082,0.00013967732,0.000006479112,0.0000066513344,0.00064709544],"genre_scores_gemma":[0.99830586,0.001394213,0.0000655234,0.000009092836,0.000030368381,0.0000016607603,0.0000045061865,0.0000025060513,0.0001862629],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993162,0.000086305765,0.0001782957,0.00012763585,0.0001940794,0.00009744053],"domain_scores_gemma":[0.9996546,0.00011374914,0.00010582015,0.000056166864,0.000013823248,0.00005587528],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043305953,0.000057583,0.00019688359,0.000047491645,0.0001501357,8.914606e-7,0.000058949507,0.000039479986,0.00012404867],"category_scores_gemma":[0.0000438158,0.000046531517,0.000029347295,0.00009381924,0.0024800347,0.00008700402,0.000020497673,0.000071117654,1.3200408e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011269262,0.000055412278,0.9719019,0.000030139652,0.000018477896,0.0000018455273,0.025195794,2.192508e-8,0.0008262104,0.00019018001,0.000010556269,0.0017582119],"study_design_scores_gemma":[0.00035561956,0.00006460859,0.9926501,0.00006781313,0.000039138646,5.604301e-7,0.0027651996,0.000005927545,0.00024316393,0.0037111386,0.00005520266,0.00004150845],"about_ca_topic_score_codex":0.00054062397,"about_ca_topic_score_gemma":0.00012680635,"teacher_disagreement_score":0.022430595,"about_ca_system_score_codex":0.000008350692,"about_ca_system_score_gemma":0.000015883788,"threshold_uncertainty_score":0.91377914},"labels":[],"label_agreement":null},{"id":"W2149646568","doi":"10.3141/2255-11","title":"Simultaneous Modeling of Endogenous Influence of Urban Form and Public Transit Accessibility on Distance Traveled","year":2011,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval; McGill University","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Endogeneity; Simultaneous equations model; Public transport; Econometrics; Population; Variables; Socioeconomic status; Demographic economics; Typology; Travel survey; Simultaneous equations; Instrumental variable; Car ownership; Economics; Geography; Travel behavior; Transport engineering; Statistics; Microeconomics; Mathematics; Demography; Engineering","score_opus":0.16449814242502273,"score_gpt":0.38306969315678363,"score_spread":0.2185715507317609,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149646568","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957307,0.00028594257,0.0015812712,0.0003965955,0.00012449568,0.0010880203,0.000109502726,0.000020151021,0.00066329876],"genre_scores_gemma":[0.99840444,0.0007395754,0.00064565055,0.000014215635,0.00006254054,0.00002592331,0.000006755929,0.00003152247,0.00006936179],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9916568,0.0011604601,0.0020049303,0.0004866461,0.0037756527,0.0009155335],"domain_scores_gemma":[0.99214447,0.0012407824,0.0007218832,0.00052779977,0.0048755226,0.000489571],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005721512,0.00025034655,0.000674942,0.00070837163,0.0007680871,0.000067698194,0.0014774596,0.00024506563,0.00019947508],"category_scores_gemma":[0.00055101264,0.00019381766,0.00038188125,0.0020272064,0.0021569335,0.0011382006,0.0000055399023,0.0014790703,0.0000013662425],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003808491,0.0010000481,0.91707826,0.0006627176,0.0001545951,0.00007323042,0.05851007,0.0020114167,0.00443516,0.0072236746,0.00002120189,0.00502116],"study_design_scores_gemma":[0.0016898104,0.0009551265,0.9685108,0.00048848515,0.00008763773,1.7816794e-7,0.010928187,0.00065374403,0.0041331737,0.012007796,0.0002769332,0.00026810032],"about_ca_topic_score_codex":0.035776243,"about_ca_topic_score_gemma":0.1266078,"teacher_disagreement_score":0.09083157,"about_ca_system_score_codex":0.00017754828,"about_ca_system_score_gemma":0.0011482609,"threshold_uncertainty_score":0.9706446},"labels":[],"label_agreement":null},{"id":"W2150247148","doi":"10.1186/1479-5868-8-123","title":"On your bike! a cross-sectional study of the individual, social and environmental correlates of cycling to school","year":2011,"lang":"en","type":"article","venue":"International Journal of Behavioral Nutrition and Physical Activity","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":138,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Health and Medical Research Council; Medical Research Council; Canadian Institutes of Health Research","keywords":"Cycling; Cross-sectional study; Demography; Odds; Odds ratio; Injury prevention; Medicine; Poison control; Psychology; Environmental health; Geography; Logistic regression","score_opus":0.10780239433899523,"score_gpt":0.39166397179726625,"score_spread":0.283861577458271,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2150247148","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99945945,0.000005596294,0.000009837903,0.00005977271,0.00020240036,0.00014393583,0.000081471684,0.0000024242295,0.000035102166],"genre_scores_gemma":[0.9997702,0.0000040947248,0.000015145255,0.000010911738,0.00018512314,0.000002750512,0.0000013866305,0.00000291638,0.000007451288],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99897045,0.00009449404,0.0002027921,0.00009704519,0.00056988536,0.00006530923],"domain_scores_gemma":[0.9994913,0.00005475639,0.00026286583,0.000033614684,0.000091041904,0.00006644173],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023361316,0.00006266972,0.00013617276,0.000060314138,0.0001408176,0.000032638778,0.00017734242,0.00004209246,0.000049441223],"category_scores_gemma":[0.000018825513,0.000048261325,0.0000921261,0.00006291139,0.0002273792,0.00028570593,0.000038443315,0.00019033304,3.3119917e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036957642,0.005982122,0.98179173,0.0000029498506,0.000030142259,0.0000017699408,0.006772965,9.711175e-7,0.0030372816,0.00010032969,0.0000061429505,0.0019039942],"study_design_scores_gemma":[0.0007792043,0.0003122614,0.9938316,0.000020601614,0.00003143637,0.0000010235065,0.0015849955,0.000003438452,0.0021421297,0.001240558,0.0000062033596,0.000046572342],"about_ca_topic_score_codex":0.00052533945,"about_ca_topic_score_gemma":0.00007824821,"teacher_disagreement_score":0.012039821,"about_ca_system_score_codex":0.00003996695,"about_ca_system_score_gemma":0.000023852801,"threshold_uncertainty_score":0.19680397},"labels":[],"label_agreement":null},{"id":"W2150300681","doi":"10.1080/19475683.2011.625977","title":"Estimating O–D travel time matrix by Google Maps API: implementation, advantages, and implications","year":2011,"lang":"en","type":"article","venue":"Annals of GIS","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":234,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Guelph","keywords":"Computer science; Task (project management); Software; Obstacle; Geographic information system; Routing (electronic design automation); Interface (matter); Distance matrix; Data mining; Application programming interface; Computer network; Operating system; Geography; Cartography; Engineering","score_opus":0.068392042450647,"score_gpt":0.3976507557542726,"score_spread":0.3292587133036256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2150300681","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98017067,0.00063603424,0.0009523614,0.0024413674,0.000045780263,0.00030264375,0.0004653282,0.000051418883,0.0149344215],"genre_scores_gemma":[0.99541086,0.00006648761,0.0035689715,0.00011460377,0.000032786542,0.000010706304,0.00007236936,0.0000064146457,0.00071677536],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99925125,0.0000354411,0.00024494145,0.00016149679,0.000120710996,0.00018618269],"domain_scores_gemma":[0.99952555,0.00003799194,0.00012999824,0.00012788882,0.000093530834,0.000085015105],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00037845172,0.0000662526,0.00011824836,0.000030480487,0.00023444711,0.00002040164,0.00015045497,0.00003922554,0.00094094774],"category_scores_gemma":[0.000024153787,0.00006619878,0.00003888688,0.00013303194,0.00016825992,0.0002978798,0.0000135159435,0.00003935196,0.00001449755],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022935696,0.00028059396,0.839868,0.00007017169,0.00006679086,0.0000012264298,0.031046832,4.107208e-7,0.0073100883,0.008045888,0.06109755,0.052189473],"study_design_scores_gemma":[0.00035121848,0.00008806505,0.9453308,0.00002307115,0.000047989797,4.2336694e-7,0.004185202,0.00002595422,0.009601923,0.02941596,0.0106363185,0.0002930489],"about_ca_topic_score_codex":0.0054422636,"about_ca_topic_score_gemma":0.00044884166,"teacher_disagreement_score":0.10546279,"about_ca_system_score_codex":0.0000055372197,"about_ca_system_score_gemma":0.00004247065,"threshold_uncertainty_score":0.99997234},"labels":[],"label_agreement":null},{"id":"W2150504536","doi":"10.1186/1479-5868-4-51","title":"Prediction of leisure-time walking: an integration of social cognitive, perceived environmental, and personality factors","year":2007,"lang":"en","type":"article","venue":"International Journal of Behavioral Nutrition and Physical Activity","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":181,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University; University of Alberta; University of Victoria","funders":"National Cancer Institute; Canadian Institutes of Health Research; Fondation pour la Recherche Médicale; Social Sciences and Humanities Research Council of Canada; Canada Research Chairs; Michael Smith Health Research BC","keywords":"Neighbourhood (mathematics); Theory of planned behavior; Psychology; Personality; Recreation; Conscientiousness; Population; Structural equation modeling; Social cognitive theory; Big Five personality traits; Walkability; Cognition; Social psychology; Applied psychology; Built environment; Control (management); Extraversion and introversion; Demography; Sociology","score_opus":0.05489826173709415,"score_gpt":0.3580182588633867,"score_spread":0.3031199971262925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2150504536","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993002,0.000010747627,0.00017224194,0.0000726584,0.00008226111,0.00009167398,0.00020925354,0.0000051176175,0.000055848126],"genre_scores_gemma":[0.99965143,0.000019432742,0.000037675072,0.0000026270532,0.00024133966,6.471385e-7,0.00003523308,0.0000033418103,0.000008280723],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990111,0.000104971434,0.00021989859,0.0001046804,0.0004812324,0.00007809816],"domain_scores_gemma":[0.99930185,0.00008532619,0.00031729866,0.000021728556,0.00019564736,0.00007814874],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034431007,0.000076148965,0.00020454879,0.00007322596,0.000100007914,0.000023563254,0.00007893654,0.00006783995,0.00006964565],"category_scores_gemma":[0.000011436403,0.00006861962,0.00010251375,0.000045296452,0.00041421474,0.0007647153,0.000010523378,0.00015143407,1.382353e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006286143,0.004526696,0.5212523,0.000014331373,0.000035644403,0.000003014371,0.015096124,5.3554242e-8,0.42661282,0.00012239549,0.000004573178,0.03170347],"study_design_scores_gemma":[0.0006423711,0.0002147998,0.9773801,0.000039171955,0.000059233877,0.0000011052623,0.0038104572,0.000016654634,0.017397229,0.00035963845,0.000025933101,0.00005332078],"about_ca_topic_score_codex":0.00035319504,"about_ca_topic_score_gemma":0.00008050147,"teacher_disagreement_score":0.45612782,"about_ca_system_score_codex":0.000060040806,"about_ca_system_score_gemma":0.000022569839,"threshold_uncertainty_score":0.27982268},"labels":[],"label_agreement":null},{"id":"W2150987840","doi":"10.1186/1476-072x-9-52","title":"Accessibility to health care facilities in Montreal Island: an application of relative accessibility indicators from the perspective of senior and non-senior residents","year":2010,"lang":"en","type":"article","venue":"International Journal of Health Geographics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":201,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal; University of Toronto; McMaster University","funders":"Social Sciences and Humanities Research Council of Canada; Human Resources and Skills Development Canada","keywords":"Health care; Health geography; Psychological intervention; Census; Health informatics; Geography; Business; Public health; Environmental health; Medicine; Health policy; Population; Nursing; International health; Economics; Economic growth","score_opus":0.013465289237529186,"score_gpt":0.3616790982304472,"score_spread":0.348213808992918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2150987840","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9917122,0.00071131205,0.0005389053,0.0055204956,0.00036912714,0.00055095844,0.0004415002,0.000006421541,0.00014905339],"genre_scores_gemma":[0.9988977,0.00019633703,0.000510025,0.00019408677,0.00016242391,0.0000081319595,0.000020059626,0.0000061525784,0.000005128441],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99666446,0.0005029243,0.001275939,0.00032868018,0.000992377,0.00023559296],"domain_scores_gemma":[0.9963904,0.00042700916,0.0015162486,0.00028199892,0.0011619715,0.00022235738],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034500964,0.0001359946,0.00044128395,0.0003916359,0.00023359196,0.000054126274,0.0008749811,0.0001277543,0.000027418422],"category_scores_gemma":[0.00044328475,0.000103574064,0.00012599307,0.00053843163,0.0005966276,0.0007420316,0.0000662236,0.0005945073,2.4026744e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022586095,0.0001739765,0.8867337,0.000028488339,0.000037948612,8.101513e-7,0.10126701,0.0000037339555,0.000020300811,0.00051543256,0.000014826145,0.01097792],"study_design_scores_gemma":[0.00051451806,0.00013756858,0.94602156,0.00006699103,0.000009145834,3.6357025e-7,0.04126886,0.000010693425,0.000041844127,0.011776598,0.00008011559,0.00007177121],"about_ca_topic_score_codex":0.27272677,"about_ca_topic_score_gemma":0.54889596,"teacher_disagreement_score":0.27616918,"about_ca_system_score_codex":0.00023639634,"about_ca_system_score_gemma":0.0011033108,"threshold_uncertainty_score":0.7321162},"labels":[],"label_agreement":null},{"id":"W2151235206","doi":"","title":"Macrolevel Collision Prediction Models to Evaluate Road Safety Effects of Mobility Management Strategies: New Empirical Tools to Promote Sustainable Development","year":2008,"lang":"en","type":"article","venue":"Transportation Research Board 87th Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Transport engineering; Collision; Per capita; Public transport; Traffic congestion; Macro; Mobility management; Computer science; Business; Engineering; Computer security; Telecommunications","score_opus":0.1127282553080234,"score_gpt":0.42144462979676556,"score_spread":0.3087163744887422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2151235206","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96561265,0.00012500724,0.018368285,0.0015254337,0.00017079333,0.009781802,0.00025534452,0.00028018304,0.0038805183],"genre_scores_gemma":[0.98163396,0.00029224032,0.010400065,0.0000900856,0.00017527486,0.001215689,0.00035230606,0.00008029509,0.0057600643],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9828447,0.001682217,0.0022134634,0.0018343156,0.008672871,0.0027524098],"domain_scores_gemma":[0.98935,0.00084015494,0.0002507065,0.00086802826,0.006602731,0.0020883514],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.012991181,0.00054750626,0.0008809104,0.0016602987,0.0029590225,0.00027673692,0.0013412357,0.00044962188,0.00025233737],"category_scores_gemma":[0.0005406051,0.0005635998,0.0002847409,0.0057595107,0.0009297553,0.0024789874,0.000049720475,0.0012256878,0.00008117078],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.01355387,0.0039787847,0.2063015,0.0060018967,0.00057254906,0.001244821,0.6545272,0.04970258,0.0022651693,0.01650973,0.011807159,0.033534754],"study_design_scores_gemma":[0.0021398247,0.0009275552,0.9230356,0.00056912255,0.000056534962,1.2028259e-7,0.04586138,0.00014766479,0.003669237,0.0030369554,0.019974219,0.00058175373],"about_ca_topic_score_codex":0.032224618,"about_ca_topic_score_gemma":0.032682776,"teacher_disagreement_score":0.7167341,"about_ca_system_score_codex":0.0011275745,"about_ca_system_score_gemma":0.005023272,"threshold_uncertainty_score":0.99968153},"labels":[],"label_agreement":null},{"id":"W2151704436","doi":"10.1061/(asce)0733-9488(2001)127:1(1)","title":"Evaluating Pedestrian Connectivity for Suburban Sustainability","year":2001,"lang":"en","type":"article","venue":"Journal of Urban Planning and Development","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":201,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; McMaster University","keywords":"Pedestrian; Sustainability; TRIPS architecture; Transport engineering; Retrofitting; Destinations; Computer science; Sustainable transport; Geography; Engineering","score_opus":0.09075954333098118,"score_gpt":0.3980642010590824,"score_spread":0.3073046577281012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2151704436","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99125546,0.0009063028,0.0060049808,0.00058705034,0.00023497643,0.000233166,0.0000011606328,0.0000193077,0.0007576147],"genre_scores_gemma":[0.99549735,0.000010074019,0.0037404837,0.00003882454,0.0002934483,0.0000058593105,0.0000019912866,0.000006196004,0.0004058009],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985616,0.00011370321,0.0004829428,0.00016794751,0.0003696307,0.00030415884],"domain_scores_gemma":[0.9985302,0.00038622873,0.00032110245,0.00007183259,0.00050181197,0.00018878853],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003888939,0.0001069779,0.0002526947,0.000091189504,0.0007674432,0.000095130476,0.00014482201,0.00007468903,0.000024770501],"category_scores_gemma":[0.00095036975,0.00009224325,0.000064317486,0.00013592273,0.00011232124,0.0002780722,0.000013966309,0.0001561338,3.51539e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019764094,0.00006877366,0.96335113,0.00004104129,0.000027281401,0.000018518658,0.015921688,0.000023905754,0.000011336499,0.00007945475,0.00051895424,0.0197403],"study_design_scores_gemma":[0.0013037206,0.00022040853,0.8725404,0.000094590214,0.000036369307,0.000009095,0.0092727775,0.00006179898,0.000103905295,0.0021863563,0.11394354,0.00022704975],"about_ca_topic_score_codex":0.000119374796,"about_ca_topic_score_gemma":0.00016049313,"teacher_disagreement_score":0.113424584,"about_ca_system_score_codex":0.00024812695,"about_ca_system_score_gemma":0.0010259374,"threshold_uncertainty_score":0.59026307},"labels":[],"label_agreement":null},{"id":"W2152149676","doi":"10.1111/j.1559-1816.2012.00968.x","title":"Prospective Examination of Self‐Regulatory Efficacy in Predicting Walking for Active Transportation: A Social Cognitive Theory Approach","year":2012,"lang":"en","type":"article","venue":"Journal of Applied Social Psychology","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan; Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Social cognitive theory; Psychology; Schedule; Cognition; Self-efficacy; Multilevel model; Regression analysis; Applied psychology; Social psychology; Psychiatry; Computer science","score_opus":0.03099729565493577,"score_gpt":0.35252218485929404,"score_spread":0.3215248892043583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152149676","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97642314,0.000051089548,0.0019220555,0.00007119949,0.00027193205,0.00070507807,0.000020566238,0.000019577541,0.020515375],"genre_scores_gemma":[0.99778503,0.00000468938,0.0005842641,0.00005984051,0.001488495,0.000041476997,0.000011075596,0.000016009122,0.000009088837],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9982059,0.00026947632,0.0006237879,0.00018484873,0.00036228303,0.00035368698],"domain_scores_gemma":[0.9983183,0.00039451517,0.0008676205,0.000040119983,0.0003124922,0.000066966684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032725944,0.00012888208,0.0004267309,0.00016818132,0.00037249413,0.000011033113,0.00017838391,0.00030017138,0.000028006634],"category_scores_gemma":[0.00007355667,0.00013091468,0.00018828659,0.00037492305,0.00042374706,0.00036460912,0.0000038205612,0.0003569199,3.656798e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0032383953,0.00257736,0.08436049,0.000076500604,0.00027922096,0.0000013309468,0.78944397,0.0000020379039,0.0005880524,0.07172037,0.000035764464,0.047676537],"study_design_scores_gemma":[0.0025749835,0.00006680008,0.9416745,0.000013666359,0.0001323556,2.872981e-7,0.04720125,9.0167526e-7,0.0002841683,0.007888284,0.00004957155,0.0001132457],"about_ca_topic_score_codex":0.0000085848405,"about_ca_topic_score_gemma":0.000045809873,"teacher_disagreement_score":0.857314,"about_ca_system_score_codex":0.00016533701,"about_ca_system_score_gemma":0.000148116,"threshold_uncertainty_score":0.53385454},"labels":[],"label_agreement":null},{"id":"W2152877906","doi":"10.1542/peds.2014-0600","title":"There and Back Again: Safety and Health on the Journey to School","year":2014,"lang":"en","type":"letter","venue":"PEDIATRICS","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Recreation; TRIPS architecture; Medicine; Pedestrian; Injury prevention; Occupational safety and health; Poison control; Suicide prevention; Human factors and ergonomics; Environmental health; Gerontology; Transport engineering; Engineering","score_opus":0.05958371990158974,"score_gpt":0.320026058496678,"score_spread":0.26044233859508825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152877906","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005931603,0.0014262878,0.00006640113,0.9751596,0.00035266264,0.00054255524,0.000048972517,0.0000325335,0.016439417],"genre_scores_gemma":[0.015314491,0.0045850533,0.000096519405,0.95759314,0.014820363,0.000007996757,0.000032386863,0.000031626256,0.0075184335],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981417,0.00027860672,0.0002835216,0.0003865569,0.00048242876,0.0004272038],"domain_scores_gemma":[0.9988054,0.00040314233,0.00018437087,0.000290136,0.00006077488,0.0002561936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001776182,0.00019367602,0.0002928326,0.00007118227,0.000683495,0.0002151074,0.0003503974,0.00035869487,0.00046688507],"category_scores_gemma":[0.00018481699,0.00012913787,0.00005916583,0.00025616278,0.000141689,0.000072877294,0.0000392795,0.0011279123,0.00014073138],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005916402,0.0000060497596,0.071557,0.000080847116,0.000004121812,0.00000411449,0.0008891696,2.6440392e-7,1.3630123e-8,0.00010002186,0.9263479,0.0010045797],"study_design_scores_gemma":[0.000088974935,0.000040989515,0.039882064,0.0000197604,0.000019067467,1.85708e-7,0.00012008089,8.974635e-7,5.590186e-8,0.00055442326,0.95910984,0.00016363667],"about_ca_topic_score_codex":0.0014025369,"about_ca_topic_score_gemma":0.0008914914,"teacher_disagreement_score":0.032761965,"about_ca_system_score_codex":0.00010193848,"about_ca_system_score_gemma":0.00033634593,"threshold_uncertainty_score":0.52660894},"labels":[],"label_agreement":null},{"id":"W2152912923","doi":"10.1007/s11524-012-9779-2","title":"Aging and the Use of Pedestrian Facilities in Winter—The Need for Improved Design and Better Technology","year":2012,"lang":"en","type":"article","venue":"Journal of Urban Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":51,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Toronto Rehabilitation Institute","funders":"National Institute on Disability and Rehabilitation Research; Toronto Rehabilitation Institute; Ontario Ministry of Health and Long-Term Care","keywords":"Snow; Pedestrian; Stairs; Environmental science; Transit (satellite); Cold climate; Transport engineering; Meteorology; Engineering; Geography; Public transport; Civil engineering","score_opus":0.08232460176903199,"score_gpt":0.3271722483671887,"score_spread":0.24484764659815672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152912923","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96126115,0.0032159414,0.0025240465,0.032447178,0.00012694078,0.0004098311,0.000004630259,0.0000039705988,0.0000063314556],"genre_scores_gemma":[0.9977715,0.00019893222,0.0014115404,0.00040973385,0.00013096798,0.0000036513047,1.4094162e-7,0.000003187127,0.00007035568],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990072,0.00021248555,0.00038835176,0.000055352153,0.00009021155,0.00024636686],"domain_scores_gemma":[0.99893177,0.00055190834,0.00031184833,0.000073049545,0.00006002769,0.00007142879],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030072364,0.000055504235,0.00022788982,0.00008689176,0.00019167198,0.000033329765,0.00012250604,0.00004808001,0.000003888221],"category_scores_gemma":[0.00020007085,0.000029952696,0.00004208003,0.00011898332,0.0005370804,0.00032717886,0.000011170366,0.00017633288,3.5238383e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025041442,0.000038041417,0.9596528,0.00006940573,0.00001840985,2.6320586e-7,0.02814356,9.891844e-7,0.000038945243,0.0007155869,0.0007428164,0.010328766],"study_design_scores_gemma":[0.010255246,0.0010545123,0.7583744,0.00042112524,0.00013583021,0.000018820769,0.050364383,0.0005229935,0.00031306106,0.030296113,0.14784934,0.00039422032],"about_ca_topic_score_codex":0.0013816247,"about_ca_topic_score_gemma":0.0011253246,"teacher_disagreement_score":0.20127843,"about_ca_system_score_codex":0.000041867854,"about_ca_system_score_gemma":0.00016599674,"threshold_uncertainty_score":0.20886125},"labels":[],"label_agreement":null},{"id":"W2152942473","doi":"10.5198/jtlu.v6i2.296","title":"Spatial modeling of bicycle activity at signalized intersections Jillian Strauss, Luis F Miranda-M","year":2015,"lang":"en","type":"article","venue":"University of Minnesota Digital Conservancy (University of Minnesota)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Transport engineering; Land use; Transit (satellite); Traffic count; Normalization (sociology); Computer science; Environmental science; Engineering; Public transport; Traffic volume; Civil engineering","score_opus":0.037117651546564046,"score_gpt":0.23291244220248417,"score_spread":0.19579479065592012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152942473","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97446847,0.00009662686,0.0053531886,0.0007670776,0.00016627491,0.00032003495,0.00051688025,0.00007102639,0.01824041],"genre_scores_gemma":[0.99662423,0.000070465016,0.0003695319,0.000006214478,0.000026945736,4.987676e-8,0.000047519592,0.000012769813,0.002842275],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9980752,0.00015652175,0.0002668066,0.0004751312,0.00063343655,0.00039293373],"domain_scores_gemma":[0.99791235,0.00014966451,0.00045864494,0.0004004452,0.0007178083,0.0003610842],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00038368138,0.0002385016,0.0006320817,0.00026846945,0.00052550563,0.000020609474,0.00079999893,0.00024255808,0.0005401637],"category_scores_gemma":[0.0000929077,0.00033009652,0.00042146334,0.0006024937,0.0015349973,0.0017816266,0.00024312806,0.000177958,0.000017772672],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.009372449,0.0025757763,0.8859283,0.0005463061,0.0007483756,0.0002392744,0.07992004,0.00086286373,0.004042188,0.0007512007,0.0048159086,0.01019733],"study_design_scores_gemma":[0.03022695,0.0022495072,0.3192762,0.0013976198,0.00212784,0.000016771615,0.48540407,0.026079161,0.0034190754,0.0045168865,0.12111938,0.0041664983],"about_ca_topic_score_codex":0.062199242,"about_ca_topic_score_gemma":0.11070572,"teacher_disagreement_score":0.56665206,"about_ca_system_score_codex":0.00025370685,"about_ca_system_score_gemma":0.00051997113,"threshold_uncertainty_score":0.9999151},"labels":[],"label_agreement":null},{"id":"W2152947114","doi":"10.3141/2112-03","title":"Network Analysis of World Subway Systems Using Updated Graph Theory","year":2009,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":177,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Public transport; Per capita; Regional science; Geography; Transport engineering; Transport network; Network analysis; Transit (satellite); Engineering; Sociology; Demography; Population","score_opus":0.11290990293330891,"score_gpt":0.4212547637012049,"score_spread":0.308344860767896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152947114","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99199766,0.0007457511,0.003474715,0.0012624784,0.000575251,0.0009835545,0.00008224117,0.00003414367,0.00084418507],"genre_scores_gemma":[0.99749005,0.00035322952,0.0006967978,0.0000457657,0.00030899153,0.00001205573,0.00003888745,0.000026870624,0.0010273276],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9873049,0.0038383454,0.0021199186,0.00046110668,0.005062301,0.0012134021],"domain_scores_gemma":[0.9917109,0.0012799685,0.0009613861,0.000599668,0.004958749,0.0004893464],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.016089953,0.0002578646,0.0008924209,0.0026917357,0.0013462948,0.00019240579,0.0016330581,0.00023607172,0.00067089143],"category_scores_gemma":[0.00015946019,0.00019947211,0.00089125126,0.015753873,0.0014335637,0.00092661846,0.0000037707048,0.0018156165,0.0000032604996],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017739172,0.00038706997,0.9255499,0.00008639624,0.0009290399,0.000060593025,0.006220246,0.024251375,0.0009747775,0.036121342,0.0020900283,0.0015552905],"study_design_scores_gemma":[0.0006626282,0.00021293374,0.97448874,0.0002383237,0.0007016798,3.4454096e-8,0.003508471,0.00026786703,0.00015119354,0.015804125,0.0037620612,0.00020196673],"about_ca_topic_score_codex":0.033874232,"about_ca_topic_score_gemma":0.1881694,"teacher_disagreement_score":0.15429518,"about_ca_system_score_codex":0.00029271387,"about_ca_system_score_gemma":0.0010885948,"threshold_uncertainty_score":0.9999538},"labels":[],"label_agreement":null},{"id":"W2153161693","doi":"10.1186/1476-072x-13-43","title":"International variation in neighborhood walkability, transit, and recreation environments using geographic information systems: the IPEN adult study","year":2014,"lang":"en","type":"article","venue":"International Journal of Health Geographics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":259,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Health Research Council of New Zealand; Centers for Disease Control and Prevention; National Institutes of Health; National Health and Medical Research Council; Fogarty International Center; National Heart, Lung, and Blood Institute; State Government of Victoria; National Cancer Institute; University of Toronto; Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS); Medical Research Council; Centers for Disease Control and Prevention Foundation; Coca-Cola Foundation","keywords":"Walkability; Geographic information system; Recreation; Health geography; Geography; Geospatial analysis; Geographic variation; Built environment; Geoportal; Transport engineering; Public health; Environmental health; Cartography; GIS and public health; Population; Engineering; Civil engineering; Medicine; Ecology","score_opus":0.01848277747527553,"score_gpt":0.3157256471162804,"score_spread":0.2972428696410048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2153161693","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9770124,0.00013596624,0.014032561,0.006386506,0.0014222127,0.000578109,0.0000127038575,0.000009106873,0.0004104164],"genre_scores_gemma":[0.99867344,0.0005692699,0.00013946205,0.0003481719,0.00024077803,0.000008744693,0.000011675216,0.00000548352,0.000002975822],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99654883,0.00076373265,0.0011382785,0.00014671708,0.0012050055,0.00019743497],"domain_scores_gemma":[0.99812585,0.00024463033,0.0009272721,0.00012237074,0.00048603248,0.00009384713],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0058715167,0.000118491655,0.00021998207,0.0005402784,0.0002915163,0.0002456128,0.0005146852,0.00008542323,0.000025403979],"category_scores_gemma":[0.00037141744,0.000095043346,0.00008539878,0.00030752228,0.00014841893,0.0014746521,0.000028653561,0.00031064748,9.2235274e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000066722576,0.00025525375,0.97947633,0.000011833319,0.000082392704,0.000001164809,0.0093669435,0.00043376742,0.000008601013,0.0048085116,0.000005011376,0.005483442],"study_design_scores_gemma":[0.0009403472,0.0001221203,0.98521215,0.00009785815,0.000024121637,0.0000038791222,0.0049471497,0.00352,8.507721e-7,0.002425625,0.0026102334,0.00009567724],"about_ca_topic_score_codex":0.007037637,"about_ca_topic_score_gemma":0.0015277199,"teacher_disagreement_score":0.02166102,"about_ca_system_score_codex":0.00020872976,"about_ca_system_score_gemma":0.00016851723,"threshold_uncertainty_score":0.9995746},"labels":[],"label_agreement":null},{"id":"W2153258882","doi":"10.1186/1471-2458-13-428","title":"A framework for stakeholder identification in concept mapping and health research: a novel process and its application to older adult mobility and the built environment","year":2013,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":123,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Simon Fraser University; British Columbia Centre of Excellence for Women's Health; Vancouver Coastal Health","funders":"Canadian Institutes of Health Research; Michael Smith Health Research BC","keywords":"Stakeholder; Stakeholder analysis; Identification (biology); Knowledge management; Process (computing); Stakeholder engagement; Medicine; Public relations; Computer science; Political science","score_opus":0.2884301465290873,"score_gpt":0.42989715848576593,"score_spread":0.14146701195667866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2153258882","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8178622,0.00091757625,0.07159554,0.102814,0.000024736251,0.006717791,0.000023834382,0.00002368454,0.000020637473],"genre_scores_gemma":[0.9948316,0.00017055013,0.0015971039,0.0014120309,0.000065283115,0.0018595704,0.000012343346,0.000007987267,0.00004353494],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977249,0.00036582196,0.00046080575,0.00052338484,0.00038436658,0.0005407017],"domain_scores_gemma":[0.99853855,0.0004233488,0.00016376776,0.00023284035,0.00018135649,0.00046011596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009029587,0.00009342407,0.00021062815,0.00009367885,0.000786244,0.00023760708,0.00018190622,0.000076057,0.000015565724],"category_scores_gemma":[0.00081144454,0.000073295494,0.000014937995,0.00041031808,0.00040958636,0.0004367249,0.000039072613,0.00021234056,0.0000017837283],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006222097,0.0007615275,0.4700464,0.0016045333,0.000013283542,5.169592e-8,0.2730594,0.000008520987,0.000039871135,0.137176,0.0004284403,0.11679976],"study_design_scores_gemma":[0.0008088135,0.000036343434,0.96458924,0.000060551436,0.0000010843662,1.3200234e-7,0.018183589,0.00087101624,0.000004070765,0.013855017,0.0014946262,0.00009550472],"about_ca_topic_score_codex":0.0122869015,"about_ca_topic_score_gemma":0.0088706305,"teacher_disagreement_score":0.49454287,"about_ca_system_score_codex":0.00022676501,"about_ca_system_score_gemma":0.00072043267,"threshold_uncertainty_score":0.99429035},"labels":[],"label_agreement":null},{"id":"W2153270378","doi":"10.1177/0269094214521980","title":"Governance and policy challenges of implementing urban low-carbon transport initiatives","year":2014,"lang":"en","type":"article","venue":"Local Economy The Journal of the Local Economy Policy Unit","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Corporate governance; Business; Environmental planning; Quarter (Canadian coin); Urban planning; Economic growth; Economics; Finance; Engineering; Geography","score_opus":0.02036281948708828,"score_gpt":0.28250503890970247,"score_spread":0.2621422194226142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2153270378","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7521613,0.0010203961,0.0017933525,0.027700633,0.00013613269,0.00032869494,0.000018676685,0.000016913242,0.21682386],"genre_scores_gemma":[0.9970141,0.0004845073,0.000019350162,0.0010491809,0.0011635642,0.0000038419967,5.053151e-7,0.000019450148,0.00024547495],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99763113,0.00044688585,0.0010217882,0.0002024048,0.00015371371,0.00054405147],"domain_scores_gemma":[0.99764687,0.00046322617,0.0011720319,0.00035739678,0.0001465801,0.00021388818],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024642441,0.00024042689,0.0005650315,0.00012959444,0.00041068223,0.00005096164,0.0010639684,0.00012766477,0.000046940226],"category_scores_gemma":[0.00013788663,0.00016100093,0.00026848388,0.00028471634,0.0017350969,0.0008486904,0.00008134368,0.00043371436,0.0000014875503],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002507326,0.00022059282,0.11342853,0.0002455895,0.00035764842,0.0000023279138,0.022339335,0.00058409007,0.000017434264,0.80502576,0.000078084326,0.0574499],"study_design_scores_gemma":[0.0040150434,0.0005477904,0.54758483,0.0004969544,0.00037521392,0.000022517364,0.021604491,0.0020206382,0.0020906501,0.19879662,0.22151165,0.00093357894],"about_ca_topic_score_codex":0.005485608,"about_ca_topic_score_gemma":0.006766879,"teacher_disagreement_score":0.6062291,"about_ca_system_score_codex":0.00020052111,"about_ca_system_score_gemma":0.00080147677,"threshold_uncertainty_score":0.82926345},"labels":[],"label_agreement":null},{"id":"W2153295902","doi":"10.3141/2465-10","title":"Is Heightened Environmental Sensitivity Responsible for Drop in Young Adults’ Rates of Driver's License Acquisition?","year":2014,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre de Développement du Porc du Québec","funders":"","keywords":"Polling; License; Microdata (statistics); Young adult; Demographic economics; National Longitudinal Surveys; Public opinion; Demography; Psychology; Political science; Economics; Sociology; Population; Developmental psychology; Census; Politics; Law","score_opus":0.05509776323811637,"score_gpt":0.38798940477768235,"score_spread":0.33289164153956596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2153295902","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9932073,0.00011015929,0.0013310751,0.0032599051,0.00030667658,0.0013830402,0.00020344839,0.000015307345,0.00018308757],"genre_scores_gemma":[0.99730206,0.0005421524,0.0013357957,0.000044984823,0.00020466803,0.000057425957,0.000033359684,0.000035543842,0.00044401822],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9912044,0.0027334124,0.0014634914,0.00048283403,0.0031982723,0.0009176007],"domain_scores_gemma":[0.9945802,0.0023090078,0.00054953824,0.00042658742,0.0017867121,0.00034795105],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011995709,0.00022502353,0.0005532262,0.00087236846,0.0008550027,0.00008756875,0.0007605198,0.00025778613,0.00040904435],"category_scores_gemma":[0.000298991,0.00018771566,0.00048911973,0.0015699903,0.0014218687,0.00090051955,0.0000059683093,0.0011552108,0.000007722162],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0041080536,0.0004388321,0.9647531,0.00018262105,0.00006206744,0.000021943053,0.015261824,0.00008827156,0.011286842,0.0015445809,0.00053662225,0.0017152517],"study_design_scores_gemma":[0.0022556083,0.00047136628,0.9750417,0.00034044674,0.000037449565,9.635034e-8,0.005852268,0.00027294204,0.008180249,0.005396488,0.0019691468,0.00018222428],"about_ca_topic_score_codex":0.031593382,"about_ca_topic_score_gemma":0.29227427,"teacher_disagreement_score":0.26068088,"about_ca_system_score_codex":0.000300832,"about_ca_system_score_gemma":0.000765144,"threshold_uncertainty_score":0.9748553},"labels":[],"label_agreement":null},{"id":"W2153704034","doi":"10.2105/ajph.2014.302109","title":"The Relationship Between Neighborhood Socioeconomic Characteristics and Physical Inactivity Among Adolescents Living in Boston, Massachusetts","year":2014,"lang":"en","type":"article","venue":"American Journal of Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Center for Chronic Disease Prevention and Health Promotion; Canadian Institutes of Health Research; Centers for Disease Control and Prevention","keywords":"Socioeconomic status; Gerontology; Psychological intervention; Confidence interval; Demography; Odds; Multilevel model; Odds ratio; Psychology; Cross-sectional study; Environmental health; Medicine; Logistic regression; Population; Sociology","score_opus":0.03767636265547244,"score_gpt":0.32822985719841147,"score_spread":0.29055349454293905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2153704034","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98981094,0.000027793414,0.00071929937,0.00908755,0.00009762299,0.00009004008,0.0000033277095,0.000009281351,0.00015412961],"genre_scores_gemma":[0.99922025,0.000040853345,0.000028658586,0.00019079381,0.0004994083,0.0000013050562,8.908017e-7,0.00000818717,0.000009621756],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973184,0.0013972138,0.0004862788,0.00013686948,0.0002454194,0.00041583524],"domain_scores_gemma":[0.9968253,0.0016785461,0.00091909996,0.00012019792,0.000073535164,0.00038334873],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0055306745,0.000089905305,0.00038114857,0.00008660258,0.00056282495,0.00014091874,0.0002583938,0.000038172115,0.000003161344],"category_scores_gemma":[0.0013211597,0.00007110689,0.0000612912,0.00021978897,0.00078123715,0.0005787718,0.000021193893,0.000561866,0.0000014307127],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002947473,0.000051241175,0.91202277,0.000008104424,0.000005490684,2.7861972e-7,0.0064206254,7.316056e-8,1.8334369e-7,0.00051545573,0.000013226071,0.08095958],"study_design_scores_gemma":[0.00011524673,0.000105927415,0.99535924,0.00005310379,0.000004865761,2.5553243e-7,0.0029387202,0.000025992182,6.255514e-8,0.00085988647,0.0004688985,0.00006780013],"about_ca_topic_score_codex":0.0015450957,"about_ca_topic_score_gemma":0.001673018,"teacher_disagreement_score":0.08333645,"about_ca_system_score_codex":0.00032804708,"about_ca_system_score_gemma":0.00068600767,"threshold_uncertainty_score":0.43288514},"labels":[],"label_agreement":null},{"id":"W2153724072","doi":"10.3828/idpr.30.1.4","title":"Estimating the shift from bicycle to metro in Tianjin","year":2008,"lang":"en","type":"article","venue":"International Development Planning Review","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Institute for Humanities Research, Arizona State University","keywords":"TRIPS architecture; Transport engineering; Metro station; Public transport; Service (business); Modal shift; Travel time; Business; Travel behavior; Geography; Engineering; Marketing","score_opus":0.0654553574428669,"score_gpt":0.3674843657533923,"score_spread":0.30202900831052537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2153724072","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9874366,0.003924792,0.0008722936,0.003818412,0.00044126177,0.00023240689,0.00000925211,0.000032669803,0.0032323115],"genre_scores_gemma":[0.99029285,0.000013909685,0.0073789004,0.0017271204,0.00014407985,0.00003772538,0.000050367653,0.000004633946,0.00035038966],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99879336,0.00006244229,0.00035461533,0.0001965084,0.00043093626,0.00016215244],"domain_scores_gemma":[0.9995743,0.00015311764,0.00008163182,0.00009239355,0.00004145792,0.00005708399],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007665242,0.000081349586,0.00014738947,0.000053966214,0.00023572078,0.000027444814,0.00049325445,0.000025486363,0.00048327315],"category_scores_gemma":[0.0003351837,0.00006114643,0.000035649013,0.0002594449,0.000043538617,0.00016316453,0.00003945014,0.00010662311,0.00015008227],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002648869,0.000015500042,0.9911119,0.000016096017,0.000011094128,0.000015837657,0.004292367,0.000031504547,0.0000017386233,0.0000036729214,0.00033758578,0.0041600848],"study_design_scores_gemma":[0.000056153487,0.0000014040494,0.9866017,0.0012399661,0.0000033942185,1.8516229e-7,0.000052147338,0.00003674897,0.000010639201,0.00016851159,0.011744063,0.00008506333],"about_ca_topic_score_codex":0.00080308097,"about_ca_topic_score_gemma":0.000754059,"teacher_disagreement_score":0.011406478,"about_ca_system_score_codex":0.00013314401,"about_ca_system_score_gemma":0.00017692137,"threshold_uncertainty_score":0.5291502},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"}],"label_agreement":"agree"},{"id":"W2154096733","doi":"10.1186/1479-5868-11-71","title":"The associations between objectively-determined and self-reported urban form characteristics and neighborhood-based walking in adults","year":2014,"lang":"en","type":"article","venue":"International Journal of Behavioral Nutrition and Physical Activity","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":95,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"Canadian Institutes of Health Research","keywords":"Walkability; Recreation; Pedestrian; Built environment; Psychology; Odds; Level design; Poison control; Environmental health; Respondent; Demography; Injury prevention; Geography; Gerontology; Transport engineering; Medicine; Physical activity; Logistic regression; Physical medicine and rehabilitation; Computer science; Engineering","score_opus":0.022902776026260185,"score_gpt":0.3321105050757026,"score_spread":0.30920772904944244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154096733","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99859357,0.000014189022,0.00007192097,0.0009890727,0.00011304839,0.00011278558,0.000044996395,0.000010348414,0.00005009926],"genre_scores_gemma":[0.9994202,0.000050572373,0.00005095161,0.000017886316,0.0004393745,0.0000039809615,0.00000950711,0.000003990287,0.0000035062221],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99909765,0.00012185979,0.00022314001,0.00011574571,0.00032616212,0.00011545556],"domain_scores_gemma":[0.9989358,0.00036090834,0.0003346817,0.00003811666,0.00024078166,0.00008970649],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004286001,0.000079778336,0.00018254497,0.00005967802,0.00022212828,0.00013715682,0.00009944166,0.000055031716,0.0000017980575],"category_scores_gemma":[0.00008086415,0.00006359524,0.000055461976,0.00007673688,0.00014101985,0.00044771875,0.000015989142,0.00020607497,1.03515035e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009843336,0.00077907904,0.94440365,0.000006742775,0.000023331171,0.000004473301,0.0017443253,2.6425155e-8,0.00018357417,0.00027572355,0.000004808272,0.052475844],"study_design_scores_gemma":[0.001017688,0.00009766361,0.9948323,0.00006584482,0.000047408514,7.9616274e-7,0.00010906826,0.00025655873,0.00016839115,0.0031083054,0.00021999341,0.00007598596],"about_ca_topic_score_codex":0.0003934148,"about_ca_topic_score_gemma":0.00046169813,"teacher_disagreement_score":0.05239986,"about_ca_system_score_codex":0.00008619567,"about_ca_system_score_gemma":0.000044351047,"threshold_uncertainty_score":0.25933385},"labels":[],"label_agreement":null},{"id":"W2154186770","doi":"10.5014/ajot.64.2.336","title":"Assessment of Driving Performance Using a Simulator Protocol: Validity and Reproducibility","year":2010,"lang":"en","type":"article","venue":"American Journal of Occupational Therapy","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":167,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University; NOSM University; St. Joseph's Care Group","funders":"","keywords":"Reproducibility; Intraclass correlation; Simulation; Protocol (science); Driving simulator; Correlation; Computer science; Statistics; Mathematics; Medicine; Pathology","score_opus":0.10045191029780252,"score_gpt":0.4531908267288138,"score_spread":0.35273891643101124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154186770","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969658,0.0000027124115,0.00042743565,0.00006644612,0.00014868398,0.002283598,0.0000027527824,0.000005975969,0.00009658534],"genre_scores_gemma":[0.99317354,0.0000069771745,0.006458535,0.00003038771,0.00024631928,0.00007162484,4.0387508e-7,0.0000051955435,0.0000070338874],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99856263,0.00016106937,0.0004535116,0.00021359173,0.00048434053,0.00012483395],"domain_scores_gemma":[0.9982613,0.00016308646,0.00078094215,0.00025132063,0.00045013122,0.0000932365],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034090504,0.000077575656,0.00023847395,0.00006247541,0.0001937164,0.00002726228,0.00018367541,0.000028100647,0.000112705464],"category_scores_gemma":[0.00019485722,0.000061797145,0.00007844072,0.0002432124,0.0006943527,0.00039653308,0.000010185554,0.0002171288,7.918742e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012870063,0.00013346126,0.9846777,0.0000067593373,0.000013533011,4.215672e-7,0.00054168346,0.00006533211,0.004638757,0.00007433439,0.0000020471625,0.00971727],"study_design_scores_gemma":[0.00033579872,0.00024419924,0.9969492,0.000015538788,0.0000061008877,0.0000012900075,0.000142954,0.00040001835,0.0007842667,0.00020916668,0.0008434619,0.00006799212],"about_ca_topic_score_codex":0.00023093638,"about_ca_topic_score_gemma":0.000070367285,"teacher_disagreement_score":0.012271512,"about_ca_system_score_codex":0.00003890277,"about_ca_system_score_gemma":0.0006869347,"threshold_uncertainty_score":0.25583714},"labels":[],"label_agreement":null},{"id":"W2154244064","doi":"10.1186/1479-5868-11-24","title":"Is the relationship between the built environment and physical activity moderated by perceptions of crime and safety?","year":2014,"lang":"en","type":"article","venue":"International Journal of Behavioral Nutrition and Physical Activity","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":130,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Heart, Lung, and Blood Institute; National Institutes of Health","keywords":"Walkability; Pedestrian; Built environment; Sample (material); Physical activity; Psychology; Level design; Poison control; Injury prevention; Environmental health; Multilevel model; Human factors and ergonomics; Occupational safety and health; Transport engineering; Applied psychology; Medicine; Engineering; Computer science; Statistics; Mathematics; Physical therapy","score_opus":0.06255248142627812,"score_gpt":0.3714816066737078,"score_spread":0.30892912524742966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154244064","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9928254,0.000023712804,0.00074920093,0.006083977,0.000039262046,0.00012635515,0.000100747624,0.0000046664786,0.00004669731],"genre_scores_gemma":[0.99953806,0.000056589783,0.000021382226,0.000029939662,0.00031778138,0.0000039158713,0.0000046882737,0.0000040264895,0.00002359268],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99898833,0.00024035947,0.00013161461,0.00012700917,0.0004226062,0.000090105386],"domain_scores_gemma":[0.9990546,0.0005038045,0.00019408304,0.000069984504,0.00009602981,0.000081470556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002988841,0.00008836956,0.00017641873,0.000027422462,0.00032960833,0.00007358003,0.00014692005,0.000048639256,0.000014949683],"category_scores_gemma":[0.000027393357,0.000057448477,0.000090854075,0.000054032564,0.00060558226,0.00046443974,0.000031869542,0.0002959141,5.680355e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002806879,0.002554484,0.9318736,0.000015516322,0.0000537594,6.5044446e-7,0.006293976,0.0000026851644,0.011737112,0.0012835135,0.00020805436,0.04569595],"study_design_scores_gemma":[0.0004791252,0.00008788908,0.9904081,0.000024184576,0.00008105458,0.000001089,0.00030559706,0.0002165516,0.0012862412,0.006655371,0.00038697405,0.00006777634],"about_ca_topic_score_codex":0.00049306254,"about_ca_topic_score_gemma":0.000021478985,"teacher_disagreement_score":0.058534537,"about_ca_system_score_codex":0.00003911189,"about_ca_system_score_gemma":0.000018860568,"threshold_uncertainty_score":0.25351143},"labels":[],"label_agreement":null},{"id":"W2154661798","doi":"","title":"Los Angeles County CalWORKs Transportation Needs Assessment","year":2002,"lang":"en","type":"preprint","venue":"eScholarship (California Digital Library)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Partenariat Canadien Contre Le Cancer; University of California Transportation Center; Department of Social Services, Australian Government; Emory University; U.S. Department of Labor","keywords":"Welfare; Product (mathematics); Welfare reform; Business; Public economics; Economic growth; Regional science; Economics; Public administration; Political science; Geography","score_opus":0.023752426051617943,"score_gpt":0.2672741279112839,"score_spread":0.24352170185966596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154661798","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7571029,0.0010043867,0.0008396358,0.0011937041,0.0012178535,0.0013188542,0.078469895,0.0013084471,0.15754429],"genre_scores_gemma":[0.9842845,0.000148297,0.0006721556,0.00041395324,0.0010678456,0.000095545765,0.009663227,0.00012002317,0.003534413],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9955874,0.00023050696,0.001011427,0.00094655086,0.0013398756,0.000884222],"domain_scores_gemma":[0.99785525,0.00018562867,0.00046757786,0.000721654,0.0001284459,0.00064144173],"candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005178662,0.0006616844,0.00069688394,0.00031081613,0.0005966317,0.003514278,0.0013444918,0.0010820507,0.0038118025],"category_scores_gemma":[0.0000797506,0.0006621646,0.0005785889,0.0008180288,0.0005168136,0.0043854252,0.00012827679,0.0021057616,0.0001627302],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051667383,0.0005308054,0.97420895,0.00034103068,0.00009792915,0.000064447995,0.0003910321,0.000042260785,0.0000044941844,0.0030183725,0.0142780505,0.006970979],"study_design_scores_gemma":[0.000542492,0.000038521353,0.2909017,0.0004998789,0.00015524104,3.5646516e-7,0.0005392676,0.00010114708,0.00006608133,0.038310476,0.6673765,0.0014683171],"about_ca_topic_score_codex":0.00018705986,"about_ca_topic_score_gemma":0.00032814665,"teacher_disagreement_score":0.68330723,"about_ca_system_score_codex":0.00023145457,"about_ca_system_score_gemma":0.00072981813,"threshold_uncertainty_score":0.99958295},"labels":[],"label_agreement":null},{"id":"W2154936518","doi":"10.7307/ptt.v21i4.233","title":"Urban Commuting and Daytime Population in Small Areas of a Metropolis:A Case Study of Brno, Czech Republic","year":2012,"lang":"en","type":"article","venue":"PROMET - Traffic&Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan; St. Thomas University","funders":"Vysoké Učení Technické v Brně; University of Saskatchewan","keywords":"Metropolitan area; Geography; Daytime; Population; Czech; Regional science; Census; Economic geography; Demography; Sociology","score_opus":0.04319991707821493,"score_gpt":0.32078076352984325,"score_spread":0.27758084645162834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154936518","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99856156,0.00021295546,0.000033398122,0.000033569875,0.00007991073,0.0008706896,0.00003269496,0.000057627396,0.00011761449],"genre_scores_gemma":[0.99937594,0.000007708646,0.00038154898,0.0000046412406,0.000048970833,0.00002800704,0.00011563895,0.000014766073,0.000022787552],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99808395,0.00022462895,0.00078372366,0.00026233104,0.00032120149,0.0003241733],"domain_scores_gemma":[0.99902916,0.000115161194,0.00039210537,0.00020329475,0.00013449707,0.00012579543],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016175157,0.00014876644,0.000369978,0.00032044866,0.0001691625,0.000023384444,0.00013714773,0.00011970362,0.00004648727],"category_scores_gemma":[0.00007573172,0.00015151004,0.00006217877,0.0010088411,0.00013060235,0.0007090054,0.0000033136373,0.00016201458,2.8877247e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003470846,0.001042208,0.91601336,0.00010744179,0.000023940602,0.000014972584,0.07918953,0.00003922892,0.00004432194,0.0003647392,0.0000038698086,0.0031216643],"study_design_scores_gemma":[0.0007153455,0.00012350331,0.9697092,0.000035499557,0.00010529395,0.0000012520836,0.028940488,0.00007083792,0.00008217314,0.000049933653,0.000021434562,0.00014500183],"about_ca_topic_score_codex":0.04350898,"about_ca_topic_score_gemma":0.13469748,"teacher_disagreement_score":0.091188505,"about_ca_system_score_codex":0.00006289121,"about_ca_system_score_gemma":0.000051947147,"threshold_uncertainty_score":0.9628604},"labels":[],"label_agreement":null},{"id":"W2155859129","doi":"10.7202/044392ar","title":"Les parents et les déplacements entre la maison et l’école primaire : quelle place pour l’enfant dans la ville?","year":2010,"lang":"fr","type":"article","venue":"Enfances Familles Générations","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Humanities; Sociology; Political science; Art","score_opus":0.01743888203240955,"score_gpt":0.3293744283616725,"score_spread":0.31193554632926296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2155859129","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6522496,0.0012754946,0.0008775984,0.0043254555,0.0012880136,0.0004988092,0.0003991241,0.0001491184,0.33893684],"genre_scores_gemma":[0.9425845,0.0013575699,0.0015319847,0.00026472285,0.00036492746,0.000105187726,0.0002276991,0.000051468567,0.053511895],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99585766,0.0010947027,0.0007100927,0.00082685787,0.00077290693,0.00073779543],"domain_scores_gemma":[0.9978148,0.0007952266,0.00038755214,0.00051963626,0.0001748954,0.00030793928],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001294403,0.0004940626,0.0004699646,0.000114079034,0.0015619702,0.00040224477,0.00076278346,0.0006274704,0.0012691095],"category_scores_gemma":[0.00017693064,0.000505884,0.00028478418,0.0005799885,0.0013964272,0.0010621133,0.00011974439,0.0011056827,0.00013192557],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045642388,0.0012177132,0.68333954,0.000112989626,0.00012755398,0.000026241101,0.046285097,0.00039576137,0.001544041,0.2594455,0.0026911295,0.0047688256],"study_design_scores_gemma":[0.001514834,0.00010164959,0.47201902,0.0004010083,0.00023159155,0.000007052861,0.07530393,0.0009374401,0.0006251861,0.005895712,0.44184703,0.001115559],"about_ca_topic_score_codex":0.012232229,"about_ca_topic_score_gemma":0.15529229,"teacher_disagreement_score":0.4391559,"about_ca_system_score_codex":0.00013305983,"about_ca_system_score_gemma":0.0008355179,"threshold_uncertainty_score":0.9997393},"labels":[],"label_agreement":null},{"id":"W2155920822","doi":"","title":"Evaluating bicycle accessibility and bike-bus integration infrastructure : Saskatoon, SK, 2006","year":2006,"lang":"en","type":"article","venue":"University Library - University of Saskatchewan (University of Saskatchewan)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transport engineering; Bike sharing; Computer science; Business; Engineering","score_opus":0.011080016183500093,"score_gpt":0.22136883192263798,"score_spread":0.21028881573913788,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2155920822","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98803455,0.00014619336,0.0022418427,0.001093779,0.00014477494,0.00057652895,0.00047223127,0.0003120225,0.006978062],"genre_scores_gemma":[0.96696043,0.000071948634,0.01237149,0.000032885335,0.000087067434,2.3439439e-8,0.00020123905,0.000025213638,0.020249678],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.996607,0.00055126916,0.00036917598,0.0010018161,0.00081066746,0.0006600538],"domain_scores_gemma":[0.99756974,0.0002511216,0.000759124,0.00065583887,0.00036522397,0.00039893427],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.0006285238,0.00043872406,0.0007937177,0.00059040316,0.0016611312,0.0000726661,0.0014783958,0.000584413,0.0019694942],"category_scores_gemma":[0.000021564181,0.0006159741,0.00040835072,0.0015377661,0.0030525469,0.005138834,0.0005259163,0.00055024034,0.000013830113],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001619636,0.0007447908,0.6319855,0.00037406347,0.00024629448,0.00020655898,0.33889708,0.000238418,0.004138318,0.00041444929,0.0020481101,0.019086808],"study_design_scores_gemma":[0.0018783759,0.00015678901,0.32920396,0.00012649283,0.00026954105,0.0000012148566,0.66128933,0.00019639582,0.00047043062,0.0023355358,0.0035351303,0.0005368205],"about_ca_topic_score_codex":0.15752436,"about_ca_topic_score_gemma":0.15814312,"teacher_disagreement_score":0.32239226,"about_ca_system_score_codex":0.0002977503,"about_ca_system_score_gemma":0.0016600065,"threshold_uncertainty_score":0.99966055},"labels":[],"label_agreement":null},{"id":"W2156420193","doi":"10.17411/jacces.v4i1.57","title":"WINTER: PUBLIC ENEMY #1 FOR ACCESSIBILITY EXPLORING NEW SOLUTIONS","year":2014,"lang":"en","type":"article","venue":"UPCommons institutional repository (Universitat Politècnica de Catalunya)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"","keywords":"Adversary; Computer science; Computer security","score_opus":0.09903120951111437,"score_gpt":0.29846030902589293,"score_spread":0.19942909951477855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156420193","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74377453,0.00032634774,0.058300305,0.008172416,0.0016411361,0.0006825236,0.00011003604,0.00049199484,0.18650068],"genre_scores_gemma":[0.9937102,0.000016250462,0.0022957728,0.0001831008,0.0008589075,0.00003970377,0.000094097006,0.00001551871,0.0027864054],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974632,0.00022237615,0.00036723667,0.0006066765,0.00047646617,0.00086403446],"domain_scores_gemma":[0.9978117,0.00037788076,0.00016784956,0.00061015895,0.0002891031,0.00074331794],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0010156785,0.00022519972,0.00028319657,0.00022978133,0.004257362,0.00024799252,0.0010963304,0.00019168906,0.00010097557],"category_scores_gemma":[0.00052765675,0.00026213535,0.00035482456,0.0004670723,0.0011778293,0.0024502077,0.00017117623,0.00028041392,0.000022858587],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010821888,0.00036338883,0.15071258,0.00005742894,0.00012560055,0.000017916169,0.0038539192,0.000081889615,0.0005487797,0.8321291,0.0066124196,0.0053887614],"study_design_scores_gemma":[0.0016044552,0.00011883772,0.21948029,0.00010140566,0.00021237101,0.000018324989,0.005158797,0.00046902284,0.0005657749,0.024504468,0.7469345,0.0008317977],"about_ca_topic_score_codex":0.0025523945,"about_ca_topic_score_gemma":0.0030153184,"teacher_disagreement_score":0.80762464,"about_ca_system_score_codex":0.0013415726,"about_ca_system_score_gemma":0.0025279622,"threshold_uncertainty_score":0.9999831},"labels":[],"label_agreement":null},{"id":"W2156455432","doi":"10.1186/1479-5868-11-5","title":"The freedom to explore: examining the influence of independent mobility on weekday, weekend and after-school physical activity behaviour in children living in urban and inner-suburban neighbourhoods of varying socioeconomic status","year":2014,"lang":"en","type":"article","venue":"International Journal of Behavioral Nutrition and Physical Activity","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":88,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University; University of Toronto; Dalhousie University","funders":"Canadian Institutes of Health Research; Heart and Stroke Foundation of Canada","keywords":"Socioeconomic status; Neighbourhood (mathematics); Residence; Demography; Physical activity; Walkability; Psychology; Gerontology; Medicine; Geography; Physical therapy; Population; Sociology; Mathematics","score_opus":0.02284568708684255,"score_gpt":0.321322027005892,"score_spread":0.2984763399190495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156455432","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992804,0.000019819108,0.0000088216375,0.00025415514,0.00006481873,0.00032830628,0.000028512575,0.000003892347,0.000011309349],"genre_scores_gemma":[0.99973816,0.000025747664,0.000011591578,0.000010527314,0.00018169837,0.000023381783,7.197922e-7,0.0000063871785,0.0000017835639],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984634,0.00037633957,0.00029649484,0.00023199183,0.00044298638,0.00018881052],"domain_scores_gemma":[0.9987547,0.0005318867,0.00033489082,0.0001153905,0.00012630387,0.00013683368],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008421633,0.00013694179,0.00032032523,0.00010802058,0.00012148662,0.0000913349,0.00024334848,0.00005734881,0.000005177807],"category_scores_gemma":[0.00009248839,0.00010201451,0.000072335446,0.00011132585,0.00038166478,0.0006547499,0.00009072599,0.0004771303,1.6856744e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037624416,0.0031971317,0.9752136,0.000006988569,0.000015319665,0.0000017771387,0.0069047273,0.000043621836,0.0019612259,0.000046519293,0.0000010181776,0.012231866],"study_design_scores_gemma":[0.0008053744,0.00039434788,0.99632496,0.00012107198,0.000026645585,9.066794e-7,0.0010963059,0.00012254892,0.0005036528,0.00050385395,0.0000026696982,0.00009768481],"about_ca_topic_score_codex":0.004371348,"about_ca_topic_score_gemma":0.0013510676,"teacher_disagreement_score":0.021111377,"about_ca_system_score_codex":0.00012853499,"about_ca_system_score_gemma":0.00006048628,"threshold_uncertainty_score":0.66082},"labels":[],"label_agreement":null},{"id":"W2156532068","doi":"10.3141/2327-02","title":"Safety and School Travel","year":2013,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"General Electric (Canada); University of Toronto","funders":"","keywords":"Transport engineering; Pedestrian; Mode choice; Logistic regression; Perception; Travel behavior; Psychology; Applied psychology; Geography; Engineering; Public transport; Statistics; Mathematics","score_opus":0.08046654002447315,"score_gpt":0.40121662045806783,"score_spread":0.32075008043359465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156532068","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98370767,0.00036258405,0.0006276771,0.010286555,0.00042950574,0.0014414507,0.000034385484,0.000029535082,0.0030806318],"genre_scores_gemma":[0.9929776,0.0018375175,0.00082592125,0.000086861,0.00033314625,0.000053499778,0.0000080319705,0.00003549597,0.003841903],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.991303,0.001719019,0.001394306,0.00042871348,0.0040764334,0.0010785097],"domain_scores_gemma":[0.9930827,0.0010813316,0.00036784957,0.00040849112,0.004150626,0.00090899604],"candidate_categories":["sts","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0069069304,0.00021937532,0.00045250956,0.0006825619,0.0017889345,0.00034245427,0.0012092135,0.0002548071,0.003506773],"category_scores_gemma":[0.00040738384,0.00016299251,0.00031651944,0.0020251633,0.0019982422,0.0016324032,0.000006172499,0.0023278578,0.00008921707],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006115149,0.0002014686,0.9665641,0.0001262715,0.00009128824,0.00003374225,0.0081645725,0.000029326036,0.0012649345,0.006431533,0.007159958,0.009321291],"study_design_scores_gemma":[0.0009928199,0.00018384332,0.95190537,0.00015531367,0.000031452975,7.971079e-8,0.008169413,0.000015317133,0.00021430604,0.009608496,0.028556203,0.00016736452],"about_ca_topic_score_codex":0.09700687,"about_ca_topic_score_gemma":0.17499427,"teacher_disagreement_score":0.07798741,"about_ca_system_score_codex":0.0002720943,"about_ca_system_score_gemma":0.001180935,"threshold_uncertainty_score":0.99997383},"labels":[],"label_agreement":null},{"id":"W2156609937","doi":"10.1002/atr.1302","title":"Social inclusivity through public transportation: a strategic approach to improve quality of life in developing countries","year":2015,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Population; Social Welfare; Per capita income; Economic growth; Per capita; Welfare; Developing country; Economics; Business; Development economics; Demographic economics; Political science; Environmental health; Sociology; Medicine","score_opus":0.10429660954368407,"score_gpt":0.3759563282698677,"score_spread":0.2716597187261836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156609937","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9848556,0.00017183591,0.010779078,0.002502389,0.00026754892,0.00034738265,0.000045246623,0.000020178872,0.0010107633],"genre_scores_gemma":[0.9894776,0.00006369926,0.009989919,0.00019906978,0.00019262091,0.000011260386,0.000042475458,0.0000119219985,0.000011462307],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99679744,0.00017398917,0.0014956563,0.00023456277,0.0009940284,0.0003043076],"domain_scores_gemma":[0.9975619,0.00008054856,0.00098283,0.000096655436,0.0010683775,0.00020969963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002022196,0.00016262312,0.00057300885,0.00015460417,0.00018189332,0.00004099168,0.0003027144,0.00014755319,0.00001053732],"category_scores_gemma":[0.00010720163,0.0001586814,0.00015455903,0.0008600675,0.00019564181,0.0019335742,0.0000016218604,0.00023839688,6.1268406e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001594445,0.0006844807,0.57792926,0.00043745112,0.000080954014,0.000012133725,0.2601289,0.0041557117,0.0004987698,0.15350069,0.000040411654,0.0009367906],"study_design_scores_gemma":[0.0022782048,0.00010903353,0.9428496,0.00005007523,0.00003414559,1.0804283e-7,0.031599082,0.000002552763,0.00020003294,0.020551335,0.0020700903,0.0002557542],"about_ca_topic_score_codex":0.0011254271,"about_ca_topic_score_gemma":0.019880952,"teacher_disagreement_score":0.3649203,"about_ca_system_score_codex":0.00024992332,"about_ca_system_score_gemma":0.0019600166,"threshold_uncertainty_score":0.99800366},"labels":[],"label_agreement":null},{"id":"W2156658462","doi":"10.1016/j.ypmed.2008.03.005","title":"Achieving 10,000 steps: A comparison of public transport users and drivers in a University setting","year":2008,"lang":"en","type":"article","venue":"Preventive Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":110,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Pedometer; Public transport; Medicine; Physical activity; Odds; Public university; Gerontology; Public health; Physical therapy; Transport engineering; Logistic regression; Engineering; Nursing","score_opus":0.052292102447592234,"score_gpt":0.3154529430264218,"score_spread":0.26316084057882955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156658462","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99179715,0.00030474138,0.00034456092,0.00071807974,0.000048188416,0.00022477223,0.000006312337,0.000024836521,0.0065313424],"genre_scores_gemma":[0.99879384,0.00010112758,0.00013730094,0.000012224984,0.00003309049,7.6348863e-7,0.000008942105,0.000003887806,0.0009088299],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988024,0.00021261352,0.00025252326,0.00021920627,0.00029092608,0.00022232426],"domain_scores_gemma":[0.999463,0.00012598457,0.00013824544,0.00008922766,0.00007065733,0.00011283994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000905715,0.00008720162,0.00030137008,0.00014370868,0.00022850433,0.0000022950862,0.00017171346,0.00005633561,0.00036013656],"category_scores_gemma":[0.000100352016,0.00008304873,0.000041987496,0.00046457915,0.0009595721,0.0003088998,0.000014501275,0.00014102085,6.933321e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023212056,0.00008000303,0.9488987,0.000031153275,0.000015726437,0.000015802347,0.048763838,9.731817e-7,0.000080511825,0.000137959,0.000059083446,0.0018930797],"study_design_scores_gemma":[0.0008042307,0.000051193187,0.9689444,0.00012498758,0.000032743035,1.7820074e-7,0.027247535,0.000017028691,0.000022081453,0.000044230193,0.002634654,0.00007677475],"about_ca_topic_score_codex":0.0040725986,"about_ca_topic_score_gemma":0.009245574,"teacher_disagreement_score":0.0215163,"about_ca_system_score_codex":0.000074082185,"about_ca_system_score_gemma":0.00010235021,"threshold_uncertainty_score":0.6156578},"labels":[],"label_agreement":null},{"id":"W2156807928","doi":"10.1007/s11116-013-9467-4","title":"Exploring the links between personal networks, time use, and the spatial distribution of social contacts","year":2013,"lang":"en","type":"article","venue":"Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":43,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Toronto; University of Leeds","keywords":"Closeness; Social network (sociolinguistics); Context (archaeology); Duration (music); Social environment; Similarity (geometry); Social relation; Computer science; Psychology; Social psychology; Sociology; Geography; Artificial intelligence; Social science; Social media; Mathematics","score_opus":0.05350082568040043,"score_gpt":0.2614169768462916,"score_spread":0.20791615116589118,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156807928","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958018,0.000023996165,0.0020320402,0.0015126901,0.00007294931,0.00039238948,0.000047967806,0.000024869307,0.0000912904],"genre_scores_gemma":[0.9992474,0.000022822127,0.00000628689,0.00002907936,0.00031644688,0.000035456287,0.00027407135,0.000004657434,0.00006380582],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991544,0.00011181938,0.000225042,0.00011597238,0.00023837152,0.00015441942],"domain_scores_gemma":[0.9994559,0.00024172643,0.00010908063,0.00005220102,0.00010501145,0.000036046025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046113477,0.00007141733,0.00013715004,0.000008986832,0.00051108084,0.000066139495,0.000100071265,0.00007742318,0.00009450951],"category_scores_gemma":[0.000020495037,0.00004446427,0.00006919005,0.0001265117,0.00047575604,0.0006470877,0.0000014294776,0.00017430856,0.0000035570017],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009940181,0.000025284822,0.92960083,0.000016433949,0.000045091434,3.6981388e-7,0.053378664,0.000016861004,0.00004024763,0.005134541,0.00011743044,0.011524859],"study_design_scores_gemma":[0.0003859396,0.000008221312,0.9975996,0.000007362783,0.00006498353,8.092666e-9,0.0009063332,0.00022154814,0.000023901439,0.00034485484,0.0003813047,0.000055944634],"about_ca_topic_score_codex":0.019130504,"about_ca_topic_score_gemma":0.0059160874,"teacher_disagreement_score":0.06799878,"about_ca_system_score_codex":0.000017124019,"about_ca_system_score_gemma":0.00003517675,"threshold_uncertainty_score":0.9874012},"labels":[],"label_agreement":null},{"id":"W2157663371","doi":"10.1068/b37161","title":"Investigating Travel Thresholds for Sports and Recreation Activities","year":2013,"lang":"en","type":"article","venue":"Environment and Planning B Planning and Design","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Recreation; Duration (music); Nova scotia; Order (exchange); Geography; Travel behavior; Applied psychology; Advertising; Marketing; Transport engineering; Psychology; Business; Political science; Engineering","score_opus":0.056049492122174756,"score_gpt":0.2787702059335207,"score_spread":0.22272071381134595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2157663371","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97855467,0.0014715145,0.01827031,0.00015773885,0.00004301276,0.0003870435,0.0000039647557,0.000034328255,0.0010774138],"genre_scores_gemma":[0.99110055,0.00009015026,0.008056923,0.000069226124,0.00011346014,0.00004327262,0.00001542163,0.00000848268,0.00050253904],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99920064,0.00005107352,0.00013969594,0.00024844904,0.00014457526,0.00021556985],"domain_scores_gemma":[0.9994275,0.0003116667,0.000072839575,0.00005532428,0.000004877898,0.00012781358],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000550494,0.00011845571,0.00014539807,0.00004099706,0.00065997674,0.0001441111,0.00003784147,0.000095202195,0.000029835128],"category_scores_gemma":[0.000034960787,0.00010956653,0.000014854839,0.000027090944,0.00025195564,0.00035964834,0.000010329543,0.000084917214,4.6264685e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015301033,0.00000924274,0.97413296,0.00002401667,0.000009312749,0.0000017356937,0.01963524,0.00010563085,0.00066452665,0.0001718751,0.00044802102,0.0047821333],"study_design_scores_gemma":[0.00035706486,0.00008508232,0.9790567,0.0001406924,0.000037282214,0.0000014123593,0.011671905,0.001785718,0.00037951363,0.0050146696,0.0012028975,0.00026703096],"about_ca_topic_score_codex":0.00020187953,"about_ca_topic_score_gemma":0.0000013466921,"teacher_disagreement_score":0.012545852,"about_ca_system_score_codex":0.000011626747,"about_ca_system_score_gemma":0.000019316936,"threshold_uncertainty_score":0.5076074},"labels":[],"label_agreement":null},{"id":"W2157946774","doi":"10.1186/1471-2458-11-212","title":"Walking to work in Canada: health benefits, socio-economic characteristics and urban-regional variations","year":2011,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"McMaster University","keywords":"Biostatistics; Demography; Residence; Medicine; Gerontology; Overweight; Obesity; Population; Socioeconomic status; Public health; Metropolitan area; Logistic regression; Environmental health","score_opus":0.09708237987616618,"score_gpt":0.30277358033494045,"score_spread":0.20569120045877426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2157946774","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9671443,0.00042551014,0.00059070654,0.030061962,0.0004564705,0.00048630958,0.00008916173,0.00004385004,0.0007017276],"genre_scores_gemma":[0.9948285,0.00009447515,0.0013290934,0.0033778213,0.00022769284,0.000023187527,0.00003318757,0.0000096472095,0.000076353586],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998083,0.00022200518,0.000499429,0.00031132225,0.00020284837,0.0006813851],"domain_scores_gemma":[0.99879307,0.00010701842,0.00019363202,0.00016228092,0.00003936823,0.00070462236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019162413,0.0001051297,0.00026805353,0.00009881894,0.0005508031,0.00006179495,0.00022039926,0.00005342137,0.00019558467],"category_scores_gemma":[0.00007637593,0.000113606286,0.000024916877,0.00029915935,0.00006133172,0.00025577907,0.00002514496,0.00014740393,0.000007274822],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000054331576,0.000033392735,0.95045006,0.000020861968,0.0000029058062,3.0238414e-7,0.01672331,4.3208718e-7,1.20427215e-8,0.017931985,0.002012395,0.012818915],"study_design_scores_gemma":[0.000118138305,0.0000144065825,0.9786017,0.00002138403,8.809602e-7,9.7243685e-8,0.001793671,0.000011592392,2.4197261e-8,0.00022896311,0.019105172,0.00010395221],"about_ca_topic_score_codex":0.96624243,"about_ca_topic_score_gemma":0.99349475,"teacher_disagreement_score":0.028151663,"about_ca_system_score_codex":0.0026602994,"about_ca_system_score_gemma":0.023968024,"threshold_uncertainty_score":0.9815652},"labels":[],"label_agreement":null},{"id":"W2158058475","doi":"10.1186/2049-3258-72-20","title":"The relationship between school physical activity policy and objectively measured physical activity of elementary school students: a multilevel model analysis","year":2014,"lang":"en","type":"article","venue":"Archives of Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University; University of Waterloo; University of Toronto","funders":"Canadian Institutes of Health Research; Heart and Stroke Foundation of Canada","keywords":"Multilevel model; Physical activity; Sample (material); Psychology; Public health; Medicine; Physical therapy; Mathematics; Nursing; Statistics","score_opus":0.11097795181189593,"score_gpt":0.4191120125191424,"score_spread":0.30813406070724647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158058475","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9733523,0.000013049221,0.02153181,0.003782829,0.000011790637,0.00044746944,0.000110198685,0.000031461157,0.0007190747],"genre_scores_gemma":[0.9992015,0.0000143973375,0.00035263287,0.00004047528,0.00024160421,0.000022383301,0.000010244668,0.000009472544,0.00010731356],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9964135,0.001567026,0.0002805713,0.00039026747,0.00083271565,0.0005158885],"domain_scores_gemma":[0.9957329,0.002788298,0.0004290838,0.00038680036,0.000089053894,0.0005738728],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024362276,0.00016052532,0.00054272526,0.00024555906,0.0008457432,0.000075513126,0.000541943,0.000045833192,0.000002511602],"category_scores_gemma":[0.002561087,0.00012570262,0.00024280176,0.0007818943,0.00085379055,0.00061131094,0.00010865717,0.00038358782,8.449581e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034436973,0.0006552031,0.9279138,0.000034013956,0.00021750471,2.5694588e-8,0.0066133696,0.000015679418,0.00006766179,0.004305625,0.000005871449,0.060136802],"study_design_scores_gemma":[0.0004041616,0.00006830822,0.97845656,0.000012187524,0.00008125715,8.765655e-9,0.00045243555,0.0074594435,0.000050902614,0.012883542,0.00002938395,0.000101796046],"about_ca_topic_score_codex":0.014169341,"about_ca_topic_score_gemma":0.0039780443,"teacher_disagreement_score":0.06003501,"about_ca_system_score_codex":0.00013486118,"about_ca_system_score_gemma":0.001615014,"threshold_uncertainty_score":0.9923954},"labels":[],"label_agreement":null},{"id":"W2158208433","doi":"10.1093/aje/kwm391","title":"Association between Neighborhood Active Living Potential and Walking","year":2008,"lang":"en","type":"article","venue":"American Journal of Epidemiology","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":84,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Santé Montérégie; Canadian Fitness and Lifestyle Research Institute; Centre Hospitalier Universitaire Sainte-Justine; Montreal Police Service; Université de Montréal","funders":"Canadian Institutes of Health Research","keywords":"Demography; Census; Socioeconomic status; Gerontology; Active living; Confidence interval; Odds ratio; Destinations; Recreation; Observational study; Census tract; Odds; Multilevel model; Association (psychology); Geography; Medicine; Physical activity; Psychology; Environmental health; Logistic regression; Population; Physical therapy","score_opus":0.03267568754547836,"score_gpt":0.33016655253021815,"score_spread":0.2974908649847398,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158208433","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99236095,0.00023557208,0.003393045,0.002829584,0.0001934429,0.000038473507,0.000002914097,0.000010599971,0.0009354243],"genre_scores_gemma":[0.99722636,0.00045770057,0.0010634442,0.00030683354,0.0008669194,4.913868e-7,7.9391003e-7,0.0000051139564,0.0000723316],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973477,0.0014926208,0.00052741467,0.0001369834,0.00016609202,0.0003291471],"domain_scores_gemma":[0.99425143,0.004096277,0.0012652403,0.00006121972,0.00015711083,0.00016871798],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041175974,0.00007797497,0.0005308736,0.00007716644,0.00032934698,0.000005928344,0.00016089527,0.000086202344,0.000076502634],"category_scores_gemma":[0.005495918,0.0000671147,0.00011791235,0.00017981908,0.0005869712,0.0002835153,0.0000171364,0.00033973204,0.0000017934699],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013969232,0.000014568646,0.96533316,9.774205e-7,0.00008950718,0.000007397965,0.0033594593,0.0000031887353,0.000013376799,0.00010555777,0.00014067053,0.030918183],"study_design_scores_gemma":[0.00009340963,0.00014907953,0.99454594,0.000014941162,0.0000639552,0.000006005216,0.0016550345,0.00000585242,0.0000040966274,0.002518594,0.0008727279,0.00007037055],"about_ca_topic_score_codex":0.0013917104,"about_ca_topic_score_gemma":0.0001376212,"teacher_disagreement_score":0.030847812,"about_ca_system_score_codex":0.00015029148,"about_ca_system_score_gemma":0.00014705214,"threshold_uncertainty_score":0.6579524},"labels":[],"label_agreement":null},{"id":"W2159172367","doi":"10.1186/1476-069x-8-47","title":"The impact of transportation infrastructure on bicycling injuries and crashes: a review of the literature","year":2009,"lang":"en","type":"review","venue":"Environmental Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":583,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia Hospital; University of British Columbia","funders":"Canadian Institutes of Health Research; Michael Smith Health Research BC; University of British Columbia; Heart and Stroke Foundation of Canada","keywords":"Transport engineering; SAFER; Poison control; Occupational safety and health; Injury prevention; Environmental health; Human factors and ergonomics; Crash; Population; Suicide prevention; Engineering; Medicine; Computer science; Computer security","score_opus":0.01591786093950348,"score_gpt":0.3663110342136239,"score_spread":0.3503931732741204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2159172367","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006004518,0.9921943,3.7512143e-7,0.0001784102,0.000062847495,0.0009956706,0.0004597689,0.0000053398944,0.00009877653],"genre_scores_gemma":[0.018480632,0.9811668,0.000012043599,0.00010256401,0.000060715614,0.000008914995,0.000111034344,0.0000098913915,0.00004742843],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981819,0.00038036893,0.0006788553,0.00021297192,0.00034706393,0.00019886276],"domain_scores_gemma":[0.9987098,0.00013371759,0.00079420285,0.0002802345,0.00000541086,0.000076619544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006869226,0.0002101213,0.0007728834,0.000027429818,0.00040115844,0.000017266102,0.00029141028,0.00014530614,0.000039324215],"category_scores_gemma":[0.000019246125,0.00009854811,0.00044215837,0.00024317263,0.00045233284,0.00008200761,0.0000069498938,0.00037456065,5.5024316e-7],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008144232,0.000054008273,0.0051079313,0.026869807,0.00003450642,2.653997e-7,0.0035519577,4.4968064e-7,1.4130369e-7,0.00007138163,0.00032596296,0.9639754],"study_design_scores_gemma":[0.000109960754,0.00025585078,0.28566414,0.14667101,0.00019839504,4.9449665e-7,0.00028684328,1.1765683e-7,9.796825e-7,0.0005886942,0.56599766,0.00022585531],"about_ca_topic_score_codex":0.0002688598,"about_ca_topic_score_gemma":0.0002064344,"teacher_disagreement_score":0.9637496,"about_ca_system_score_codex":0.00020570136,"about_ca_system_score_gemma":0.00032714295,"threshold_uncertainty_score":0.40186754},"labels":[],"label_agreement":null},{"id":"W2159624953","doi":"10.1186/1479-5868-10-34","title":"Patterns of neighborhood environment attributes related to physical activity across 11 countries: a latent class analysis","year":2013,"lang":"en","type":"article","venue":"International Journal of Behavioral Nutrition and Physical Activity","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":91,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Canadian Fitness and Lifestyle Research Institute","funders":"National Heart, Lung, and Blood Institute; American Heart Association","keywords":"Recreation; Latent class model; Physical activity; Built environment; Level design; Geography; Environmental health; Guideline; Public transport; Demography; Active living; Medicine; Psychology; Gerontology; Transport engineering; Statistics; Computer science; Sociology; Physical therapy; Mathematics; Engineering","score_opus":0.02866000954171094,"score_gpt":0.3494000054495212,"score_spread":0.32073999590781027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2159624953","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961178,0.000008555851,0.00057724584,0.0026048825,0.00013761077,0.00023480225,0.00029206084,0.000012073302,0.000015014666],"genre_scores_gemma":[0.99961215,0.000040592837,0.000027090175,0.000025886022,0.00022141734,0.000014930831,0.00001263588,0.0000066942002,0.000038627953],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99827915,0.00013626901,0.00025973568,0.00022225792,0.0008799415,0.0002226637],"domain_scores_gemma":[0.9987421,0.00013099363,0.00039243762,0.000107696054,0.00039559708,0.0002311899],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021948051,0.00014997408,0.0004484912,0.00011112412,0.00013001873,0.0001176471,0.00028250023,0.000081833285,0.0001641739],"category_scores_gemma":[0.000014236938,0.00013085922,0.0003826962,0.00023194948,0.00017676968,0.0009211689,0.000057588444,0.0002504519,0.0000073626306],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021178731,0.008824662,0.96133393,0.000015730197,0.00033470048,0.000012698442,0.0048818286,0.00003804216,0.009603524,0.00033787373,0.00004029789,0.014364931],"study_design_scores_gemma":[0.00079768937,0.00018997738,0.98965114,0.000039373394,0.00024720107,9.3083224e-7,0.0005056255,0.0002924148,0.006908477,0.00087842724,0.00033569173,0.00015304987],"about_ca_topic_score_codex":0.0022109316,"about_ca_topic_score_gemma":0.00020884271,"teacher_disagreement_score":0.028317217,"about_ca_system_score_codex":0.00017566762,"about_ca_system_score_gemma":0.000038618986,"threshold_uncertainty_score":0.5336284},"labels":[],"label_agreement":null},{"id":"W2160156142","doi":"","title":"Planning for Appropriate Recreation Activities In Mountain Environments: Mountain Biking in the Canadian Rocky Mountains","year":2001,"lang":"en","type":"article","venue":"York University Digital Library (York University)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Recreation; Geography; Mountaineering; Physical geography; Environmental planning; Environmental resource management; Archaeology; Ecology; Environmental science","score_opus":0.021913516663876864,"score_gpt":0.21176349256790966,"score_spread":0.1898499759040328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160156142","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87449807,0.000038188686,0.00037922367,0.00074842357,0.000054288845,0.00063170306,0.00020190088,0.00008029098,0.12336792],"genre_scores_gemma":[0.9859564,0.000038070422,0.00012331003,0.00012017023,0.00006710697,6.984386e-7,0.00028415647,0.000014540539,0.013395561],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983778,0.00018702386,0.00015228371,0.0004137842,0.00027195786,0.00059716665],"domain_scores_gemma":[0.9992767,0.00020949893,0.00010654206,0.00021067145,0.000008888353,0.00018767253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020119999,0.00019599032,0.00020558239,0.00076827646,0.0010552534,0.0003620078,0.0008619988,0.00020904906,0.000060536753],"category_scores_gemma":[0.000019039157,0.00022090504,0.00010637598,0.001559258,0.00030226866,0.004729301,0.00006389299,0.00027909313,0.000006680732],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003319605,0.00013117903,0.9685842,0.000011706393,0.000021364423,0.00030276357,0.010367608,0.00048135078,0.000004513041,0.018200647,0.00027818244,0.0012845566],"study_design_scores_gemma":[0.0012089887,0.000059263333,0.10023743,0.000084123625,0.000029947212,0.0000010215505,0.18007664,0.00015271519,0.0000116394995,0.0018546281,0.71582305,0.00046056707],"about_ca_topic_score_codex":0.062151577,"about_ca_topic_score_gemma":0.25451636,"teacher_disagreement_score":0.86834675,"about_ca_system_score_codex":0.0011444908,"about_ca_system_score_gemma":0.00055102445,"threshold_uncertainty_score":0.94409364},"labels":[],"label_agreement":null},{"id":"W2160171823","doi":"10.1123/jpah.2012-0320","title":"Active Transportation in Kingston, Ontario: An Analysis of Mode, Destination, Duration, and Season among Walkers and Cyclists","year":2015,"lang":"en","type":"article","venue":"Journal of Physical Activity and Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Kingston Health Sciences Centre; Queen's University","funders":"Public Health Agency of Canada","keywords":"Destinations; Telephone survey; Duration (music); Cycling; Demography; Travel survey; Mode choice; Geography; Work (physics); Mode (computer interface); Physical activity; Winter season; Telephone interview; Psychology; Travel behavior; Medicine; Transport engineering; Physical therapy; Advertising; Public transport; Tourism; Business; Engineering; Sociology; Computer science","score_opus":0.04290806707938008,"score_gpt":0.36723925816277453,"score_spread":0.3243311910833945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160171823","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988202,0.000023992137,0.00030305295,0.00068652007,0.00001622868,0.000093785915,0.000007851878,0.0000030601188,0.000045342524],"genre_scores_gemma":[0.99980074,0.000025628824,0.00010483254,0.00001671198,0.000037343067,7.730985e-7,0.0000049365617,0.0000022756265,0.0000067612586],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99913603,0.00012322549,0.00023945798,0.00012529657,0.00026657525,0.000109418004],"domain_scores_gemma":[0.99907416,0.00006544642,0.0004329634,0.000038299528,0.00015661637,0.00023249777],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078373693,0.00006518891,0.00032625548,0.00012752607,0.000116694995,0.000026452195,0.000040753475,0.000042399137,0.000002119829],"category_scores_gemma":[0.000032646814,0.000057668523,0.000040087045,0.00031218017,0.00019627507,0.0011828364,0.0000022605393,0.00016715481,1.1145415e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011430631,0.00029865306,0.9370858,0.000020640924,0.000032666972,0.0000011819733,0.055827644,0.00013277952,0.00009363925,0.00041933023,0.0000021819874,0.0059711696],"study_design_scores_gemma":[0.00034558828,0.00016083081,0.99401265,0.000023416576,0.00009790127,1.1555592e-7,0.0017222363,0.0016310358,0.000080568454,0.0018648038,0.000008717831,0.000052106625],"about_ca_topic_score_codex":0.15241838,"about_ca_topic_score_gemma":0.7132502,"teacher_disagreement_score":0.56083184,"about_ca_system_score_codex":0.00016019469,"about_ca_system_score_gemma":0.00036502365,"threshold_uncertainty_score":0.85322577},"labels":[],"label_agreement":null},{"id":"W2160909621","doi":"10.1123/jpah.6.s2.s186","title":"A National Plan for Physical Activity: The Enabling Role of the Built Environment","year":2009,"lang":"en","type":"article","venue":"Journal of Physical Activity and Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":61,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Plan (archaeology); Physical activity; Built environment; Environmental planning; Geography; Medicine; Engineering; Physical medicine and rehabilitation; Civil engineering; Archaeology","score_opus":0.05989306958496362,"score_gpt":0.3641857580379797,"score_spread":0.3042926884530161,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160909621","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9810602,0.000057222373,0.00017203909,0.018244673,0.0000354689,0.00019736147,0.0000133878975,0.0000028167967,0.00021681369],"genre_scores_gemma":[0.9989703,0.000028899784,0.000024584948,0.00015476918,0.00079463614,0.0000017673598,1.979595e-7,0.0000024784104,0.000022309125],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99899703,0.00012157991,0.00011286947,0.00009656381,0.000501117,0.00017084515],"domain_scores_gemma":[0.9991649,0.00027884694,0.00035170646,0.00007093504,0.000047918795,0.00008571257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007538898,0.00006935964,0.00023243655,0.000017694607,0.00049310614,0.000025129686,0.00017757749,0.000028524188,0.0000026938642],"category_scores_gemma":[0.000038551523,0.000037838716,0.00017996502,0.00008497624,0.00018515055,0.00027323735,0.000012962511,0.00026314426,2.0044857e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012826405,0.013250021,0.022766097,0.00016943982,0.00016919035,0.0000010779044,0.053563837,0.00038016224,0.045524415,0.056141194,0.00056536996,0.80618656],"study_design_scores_gemma":[0.0005393851,0.0007199328,0.910746,0.000049572434,0.000038523667,7.4862487e-7,0.00081768027,0.0011060964,0.0062291925,0.074657016,0.004995281,0.00010060751],"about_ca_topic_score_codex":0.00028397125,"about_ca_topic_score_gemma":0.00016985608,"teacher_disagreement_score":0.88797987,"about_ca_system_score_codex":0.000089851164,"about_ca_system_score_gemma":0.0003569388,"threshold_uncertainty_score":0.3792624},"labels":[],"label_agreement":null},{"id":"W2161071894","doi":"10.1123/pes.25.3.337","title":"Driving Down Daily Step Counts: The Impact of Being Driven to School on Physical Activity and Sedentary Behavior","year":2013,"lang":"en","type":"article","venue":"Pediatric Exercise Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Pedometer; Physical activity; Sedentary behavior; Demography; Leisure time; Medicine; Psychology; Physical therapy; Gerontology","score_opus":0.011099358643032471,"score_gpt":0.31213067611253037,"score_spread":0.3010313174694979,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2161071894","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99643797,0.00001782793,0.00001549929,0.000111531386,0.00011689782,0.0004301554,0.0000055511423,0.000023352599,0.0028412025],"genre_scores_gemma":[0.9994674,0.000036888076,0.00007439946,0.00001480294,0.00022261658,0.000025760992,2.954513e-7,0.000003882344,0.00015397763],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99875784,0.000030466936,0.00009546595,0.00027644268,0.00055567437,0.00028408904],"domain_scores_gemma":[0.99930197,0.00009325504,0.000065419685,0.00021162858,0.000098289835,0.00022944534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004506211,0.00008783846,0.00013239926,0.00008743897,0.0004919536,0.00013830127,0.00046870063,0.00002817365,0.0002160092],"category_scores_gemma":[0.00010375317,0.00005753801,0.0000591387,0.000820758,0.00043694495,0.0006752813,0.000065291715,0.0001263137,0.000073387055],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000044829844,0.00011005552,0.98618466,0.0000040804907,9.784235e-7,6.075929e-7,0.001821734,0.0000067500578,0.00090732827,0.00002789326,0.00054867245,0.010382738],"study_design_scores_gemma":[0.00005521522,0.000031851025,0.9991989,0.000008005612,0.000024284163,5.2204502e-8,0.00023878139,0.00011428408,0.000119179174,0.00011840743,0.000010978265,0.00008002659],"about_ca_topic_score_codex":0.0057687727,"about_ca_topic_score_gemma":0.00010126068,"teacher_disagreement_score":0.013014256,"about_ca_system_score_codex":0.00009891967,"about_ca_system_score_gemma":0.00029400087,"threshold_uncertainty_score":0.8720697},"labels":[],"label_agreement":null},{"id":"W2161439706","doi":"10.1007/s11116-011-9359-4","title":"Modeling interdependencies between vehicle transaction, residential relocation and job change","year":2011,"lang":"en","type":"article","venue":"Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":62,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Toronto","keywords":"Relocation; Hazard; Housing tenure; Baseline (sea); Travel behavior; Car ownership; Metropolitan area; Household income; Hazard model; Apartment; Transport engineering; Econometrics; Economics; Demographic economics; Computer science; Engineering; Geography; Public transport","score_opus":0.10305776215470651,"score_gpt":0.3071972608128593,"score_spread":0.20413949865815278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2161439706","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97834563,0.00009688752,0.01981946,0.00022701178,0.00012290839,0.00024023632,0.0000121808325,0.00011254905,0.0010231059],"genre_scores_gemma":[0.9992215,0.0000794259,0.00033894274,0.000025359068,0.0001705387,0.000024026014,0.00004080496,0.000009703051,0.00008967976],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990984,0.00004723246,0.0002571025,0.00022252522,0.00020285475,0.000171877],"domain_scores_gemma":[0.99967587,0.000013729852,0.000047605863,0.00008787132,0.00009416957,0.000080748156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003563725,0.00008543602,0.00011036469,0.000067719266,0.00031308987,0.000029023808,0.00010069894,0.000102792466,0.00021981123],"category_scores_gemma":[0.000005904629,0.00009175654,0.000042387044,0.00016231296,0.00010343367,0.0010098194,7.2703364e-7,0.00009991057,0.000006222504],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006300842,0.000031914562,0.84683913,0.00004616612,0.000018202962,0.0000031926631,0.13914113,0.000012243065,0.00014256912,0.0025020042,0.0000050520825,0.011195389],"study_design_scores_gemma":[0.00021137155,0.000022792638,0.9897902,0.000022495511,0.000070603346,3.3827238e-8,0.0033528113,0.00028438828,0.0004563692,0.005619653,0.000043916752,0.00012537802],"about_ca_topic_score_codex":0.03232419,"about_ca_topic_score_gemma":0.08359881,"teacher_disagreement_score":0.14295106,"about_ca_system_score_codex":0.00002691917,"about_ca_system_score_gemma":0.00003828524,"threshold_uncertainty_score":0.97411966},"labels":[],"label_agreement":null},{"id":"W2161588597","doi":"10.4278/0890-1171-18.1.103","title":"Integrating Public Health Objectives in Transportation Decision-Making","year":2003,"lang":"en","type":"article","venue":"American Journal of Health Promotion","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":122,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Transport Canada","funders":"","keywords":"Transportation planning; Business; Public health; Public transport; Occupational safety and health; Perspective (graphical); Transport engineering; Suicide prevention; Poison control; Injury prevention; Environmental planning; Environmental health; Public economics; Engineering; Economics; Medicine; Computer science; Environmental science; Nursing","score_opus":0.045392654285336696,"score_gpt":0.39567705487285043,"score_spread":0.35028440058751376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2161588597","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94108963,0.00041488063,0.0520351,0.0055492953,0.0002758478,0.00030717463,0.0000019068858,0.000016111346,0.0003100382],"genre_scores_gemma":[0.98916256,0.00015277244,0.010293583,0.00031093013,0.000060894057,0.0000051003353,0.0000017914625,0.0000081042845,0.0000042802517],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99657184,0.0013600731,0.001043831,0.00016187757,0.00045334458,0.00040901953],"domain_scores_gemma":[0.997909,0.00019717307,0.0014287569,0.00007735801,0.00020466604,0.00018306298],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007632958,0.00009093603,0.00038006937,0.00027408774,0.00039810734,0.000043881326,0.00014208592,0.000030329538,0.000057194153],"category_scores_gemma":[0.00058076275,0.00008063825,0.00008189732,0.0009790517,0.00018562598,0.00068444514,0.0000011756325,0.00032451752,9.630152e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012557731,0.00022356982,0.38042608,0.0000188003,0.000004746472,0.000002677242,0.028187972,0.0000110598585,0.0000025989286,0.0013920186,0.0000158784,0.58970207],"study_design_scores_gemma":[0.0004568325,0.001460183,0.92763734,0.0006898891,0.0000038799444,0.0000035995618,0.057675127,0.000016911592,0.0000045009215,0.009489627,0.0024126617,0.00014947592],"about_ca_topic_score_codex":0.0018214247,"about_ca_topic_score_gemma":0.012314436,"teacher_disagreement_score":0.5895526,"about_ca_system_score_codex":0.0005874856,"about_ca_system_score_gemma":0.0022803373,"threshold_uncertainty_score":0.68717444},"labels":[],"label_agreement":null},{"id":"W2161841982","doi":"10.4314/bafm.v46i2.61019","title":"Health Status Of Leisure Walkers In Kuwait","year":2010,"lang":"en","type":"article","venue":"Alexandria Journal of Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Medicine; Asthma; Confounding; Logistic regression; Environmental health; Quarter (Canadian coin); Disease; Bronchitis; Demography; Internal medicine","score_opus":0.02310047767489308,"score_gpt":0.35164722046551933,"score_spread":0.32854674279062623,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2161841982","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9798206,0.0015904481,0.000051028303,0.013637412,0.0011172099,0.00009701045,0.0000020251775,0.0000043021178,0.0036799263],"genre_scores_gemma":[0.99799144,0.000778857,0.0003099101,0.00011938655,0.0006127094,2.8045937e-7,0.0000012933432,0.0000047563617,0.00018135401],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99827594,0.00010939768,0.00068176904,0.00008621546,0.0005381555,0.0003085368],"domain_scores_gemma":[0.99879473,0.00014430267,0.0005199059,0.000110232286,0.00012800543,0.00030284727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024050467,0.00007181467,0.0004325395,0.00014808873,0.00006827486,0.000004964539,0.00023490336,0.00007277557,0.000794632],"category_scores_gemma":[0.0003418925,0.000050627208,0.00005949221,0.00030147008,0.00057927216,0.00017957903,0.0000057626503,0.00044087492,0.0000010787699],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007792329,0.00007558188,0.9743718,0.000024128407,0.0000133981375,0.000013382565,0.008328894,0.0000011406215,0.000872905,0.000852439,0.0024086384,0.012959782],"study_design_scores_gemma":[0.0024995322,0.0003308261,0.9385615,0.0002219754,0.000021634023,0.0000031345837,0.0027005582,0.0000025106615,0.00010907221,0.0019165619,0.053564817,0.00006789952],"about_ca_topic_score_codex":0.007830942,"about_ca_topic_score_gemma":0.025722556,"teacher_disagreement_score":0.051156178,"about_ca_system_score_codex":0.000047071026,"about_ca_system_score_gemma":0.0006857621,"threshold_uncertainty_score":0.998776},"labels":[],"label_agreement":null},{"id":"W2162205756","doi":"10.1038/525179a","title":"Climate change: Track urban emissions on a human scale","year":2015,"lang":"en","type":"article","venue":"Nature","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":212,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; University of Toronto","funders":"","keywords":"Carbon footprint; Climate change; Track (disk drive); Scale (ratio); Greenhouse gas; Environmental science; Urban climate; Footprint; Environmental resource management; Environmental planning; Geography; Urban planning; Engineering; Archaeology; Oceanography; Civil engineering; Cartography; Geology","score_opus":0.06939910597195016,"score_gpt":0.38418901351810764,"score_spread":0.3147899075461575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162205756","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8600238,0.00038223242,3.653006e-7,0.0039350926,0.00042489925,0.00019324814,0.000024477424,0.00013442665,0.13488148],"genre_scores_gemma":[0.99585986,0.000008708822,0.00004328204,0.00096652197,0.0009420394,0.00001139978,0.00001859324,0.000008225304,0.0021413618],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989495,0.000057462206,0.00010234114,0.00021922143,0.00038655612,0.0002849049],"domain_scores_gemma":[0.99942726,0.000018272209,0.0000424023,0.00018452495,0.000076340715,0.00025122814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004290175,0.000085555504,0.00010988403,0.00003600484,0.0004197535,0.000048281647,0.00025833843,0.0007361771,0.00020030749],"category_scores_gemma":[0.000051669354,0.00006928207,0.00006273089,0.00024065412,0.000109498935,0.00019843002,0.0000138681,0.0009945147,0.000054560223],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006410824,0.00042746862,0.83084154,0.00002651978,0.000008443345,0.00002268943,0.04275549,4.1170264e-7,0.00021360225,0.019689769,0.099393025,0.006556933],"study_design_scores_gemma":[0.00074650603,0.00010942252,0.64791477,0.000114984374,0.000033576176,2.246783e-7,0.0035473278,0.0000061535775,0.0004797148,0.00960403,0.33706158,0.00038168614],"about_ca_topic_score_codex":0.00021468494,"about_ca_topic_score_gemma":0.0018794632,"teacher_disagreement_score":0.23766856,"about_ca_system_score_codex":0.000055221273,"about_ca_system_score_gemma":0.000050935178,"threshold_uncertainty_score":0.5678072},"labels":[],"label_agreement":null},{"id":"W2162337775","doi":"10.1016/j.jsams.2012.11.070","title":"Creating an evidence based planning tool to predict physical activity and obesity impacts of community design alternatives","year":2012,"lang":"en","type":"article","venue":"Journal of science and medicine in sport","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Walkability; Work (physics); Transport engineering; Investment (military); Land use; Business; Environmental planning; Transportation planning; Traffic volume; Built environment; Urban planning; Environmental health; Geography; Engineering; Civil engineering; Medicine; Political science","score_opus":0.11220865900053452,"score_gpt":0.4234506978305324,"score_spread":0.3112420388299979,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162337775","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99856675,0.00015736124,0.00056027214,0.00032711003,0.00008954515,0.00013019031,5.2682407e-7,0.000004055303,0.00016419918],"genre_scores_gemma":[0.9990665,0.000030355042,0.00057004736,0.0000873264,0.00023951393,7.2379487e-7,6.7600524e-8,0.000001988376,0.0000035290448],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99846745,0.00013095925,0.000246793,0.00008805286,0.0008159559,0.00025080636],"domain_scores_gemma":[0.9985895,0.00039999135,0.000284604,0.00010374789,0.0002562001,0.00036596812],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012577967,0.00007605383,0.00028827877,0.0001818719,0.00038539103,0.000021260634,0.0002952836,0.00002645246,0.000005740286],"category_scores_gemma":[0.0017617055,0.000052981006,0.00001775676,0.0005205024,0.0017181025,0.0027117918,0.00002778642,0.00026835222,4.1151942e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009026154,0.00018543613,0.9382959,0.00001978496,0.0000017640499,0.0000039758947,0.047484744,0.000015445687,0.010580607,0.000023929266,0.0000061432916,0.0032919939],"study_design_scores_gemma":[0.00022630424,0.00041364465,0.9852599,0.0006058112,0.00001668873,0.0000022134996,0.009383472,0.00013753051,0.0037873574,0.00010357137,0.000009022705,0.000054482283],"about_ca_topic_score_codex":0.0032287473,"about_ca_topic_score_gemma":0.000102967184,"teacher_disagreement_score":0.046963986,"about_ca_system_score_codex":0.000061071565,"about_ca_system_score_gemma":0.00044603518,"threshold_uncertainty_score":0.633042},"labels":[],"label_agreement":null},{"id":"W2162397752","doi":"10.1002/atr.1188","title":"Geographic information system‐system dynamics procedure for bus rapid transit ridership estimation","year":2012,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Texas Department of Transportation","keywords":"Bus rapid transit; Geographic information system; Las vegas; Mile; Transport engineering; Population; Estimation; Computer science; Engineering; Public transport; Geography; Cartography","score_opus":0.012227993388309873,"score_gpt":0.2665606951943541,"score_spread":0.2543327018060442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162397752","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8465451,0.0002609891,0.15060402,0.00026726793,0.001086482,0.0007280393,0.00008254548,0.00008977359,0.00033576],"genre_scores_gemma":[0.99328107,0.00002987199,0.006125141,0.000018167273,0.00029367345,0.000027661976,0.000201601,0.000012592253,0.000010220404],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99803686,0.00005580026,0.0009360608,0.000097029515,0.00054231967,0.0003319161],"domain_scores_gemma":[0.9981401,0.00007714231,0.00089636643,0.00009370037,0.0006055043,0.00018719258],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012331285,0.00014888734,0.0002871454,0.0002355753,0.00035216345,0.000053145544,0.00016795099,0.00015094683,0.00000966124],"category_scores_gemma":[0.000050256916,0.00013904103,0.00023948653,0.000390421,0.00007253875,0.004869319,4.1037976e-7,0.00016562417,0.0000019966737],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024652567,0.00038754783,0.686322,0.007136705,0.0002792328,0.0000059085182,0.12502895,0.057174258,0.00025958472,0.053013436,0.00010706528,0.06782011],"study_design_scores_gemma":[0.002075748,0.00020668106,0.9407809,0.0004919443,0.00037517515,0.0000039782676,0.051947657,0.0014842212,0.0002490771,0.00028489475,0.0017926409,0.00030710964],"about_ca_topic_score_codex":0.000058653055,"about_ca_topic_score_gemma":0.0005032509,"teacher_disagreement_score":0.25445893,"about_ca_system_score_codex":0.00028075403,"about_ca_system_score_gemma":0.00016533282,"threshold_uncertainty_score":0.5669929},"labels":[],"label_agreement":null},{"id":"W2162961924","doi":"10.1177/0042098012452324","title":"Urban Form and Commuting Efficiency: A Comparative Analysis across Time and Space","year":2012,"lang":"en","type":"article","venue":"Urban Studies","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Census; Point (geometry); Geography; Econometrics; Statistics; Transport engineering; Computer science; Mathematics; Sociology; Population; Demography; Engineering","score_opus":0.058445941837442984,"score_gpt":0.3775661870707903,"score_spread":0.3191202452333473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162961924","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9659078,0.020723203,0.000016722033,0.00027924313,0.000064067055,0.00016702336,0.000021187263,0.000062374296,0.012758339],"genre_scores_gemma":[0.9976085,0.00011251929,0.000104192,0.00004628915,0.00014995498,0.0000075313073,0.0000036997028,0.000003821598,0.001963525],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987686,0.000090510366,0.00019452276,0.00023034788,0.00021893554,0.00049705576],"domain_scores_gemma":[0.9992179,0.00031257694,0.00010285872,0.0001394679,0.000091188456,0.00013595192],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0009902292,0.00014580887,0.00045280688,0.000054365424,0.0014302199,0.000080064165,0.00011399618,0.00005057122,0.000021458749],"category_scores_gemma":[0.000080972146,0.00011840601,0.00007129785,0.000578145,0.0011242322,0.0003791874,0.00010280308,0.00010047959,0.000008708656],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000061911596,0.00003865666,0.75613236,0.000009368007,0.0002672177,3.8814295e-7,0.2417312,4.4369128e-7,0.000008994053,0.00041468485,0.0012663403,0.00012416585],"study_design_scores_gemma":[0.00027927858,0.000034976376,0.92269856,0.000019432047,0.0004918526,1.4734437e-7,0.062974535,0.00010811808,0.00006648707,0.00014517366,0.012896606,0.00028486515],"about_ca_topic_score_codex":0.00064274186,"about_ca_topic_score_gemma":0.0034513054,"teacher_disagreement_score":0.17875665,"about_ca_system_score_codex":0.000049193215,"about_ca_system_score_gemma":0.00001593768,"threshold_uncertainty_score":0.99986976},"labels":[],"label_agreement":null},{"id":"W2163035648","doi":"10.1016/j.healthplace.2009.04.002","title":"Neighborhood physical activity opportunities for inner-city children and youth","year":2009,"lang":"en","type":"article","venue":"Health & Place","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":79,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Alberta Heritage Foundation for Medical Research; Canadian Child Health Clinician Scientist Program","keywords":"Staffing; Inner city; Physical activity; Geography; Psychology; Medicine; Nursing; Environmental planning; Physical therapy","score_opus":0.08120123242559141,"score_gpt":0.35335214746802246,"score_spread":0.27215091504243105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163035648","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98103976,0.00013639353,0.00032224038,0.015317186,0.00007386513,0.0005134332,0.00017047177,0.00009567432,0.0023309775],"genre_scores_gemma":[0.99773335,0.00007412519,0.000084790125,0.0012773963,0.00037997813,0.00000585788,0.000033428703,0.0000052656574,0.00040581523],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9989406,0.00010428032,0.00011831353,0.00025666744,0.00019598172,0.00038419245],"domain_scores_gemma":[0.9993823,0.00008884424,0.00009828979,0.00012895372,0.0000401129,0.0002614572],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059343496,0.000106166095,0.0002216227,0.000026675809,0.0006419467,0.00005292042,0.00012011143,0.00006314979,0.00001171614],"category_scores_gemma":[0.00004738561,0.00009884456,0.000050977535,0.000101715916,0.00014897063,0.00030942808,0.000008562013,0.00013281428,8.3941137e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00056973635,0.001895547,0.35935304,0.00012505651,0.00004203788,0.0000029002335,0.106241874,0.0000030948033,0.000019469815,0.034279127,0.009201436,0.4882667],"study_design_scores_gemma":[0.0006027734,0.00026026776,0.9903411,0.000019620722,0.000019848096,3.1129383e-7,0.0025542495,0.000051997293,0.000027530576,0.0034433587,0.0024625144,0.0002164145],"about_ca_topic_score_codex":0.00310267,"about_ca_topic_score_gemma":0.0014549315,"teacher_disagreement_score":0.63098806,"about_ca_system_score_codex":0.00006926285,"about_ca_system_score_gemma":0.00041349384,"threshold_uncertainty_score":0.49374},"labels":[],"label_agreement":null},{"id":"W2163044673","doi":"10.3141/2190-04","title":"Latent Bicycle Commuting Demand and Effects of Gender on Commuter Cycling and Accident Rates","year":2010,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":60,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Stantec (Canada); University of Calgary","funders":"University of Calgary","keywords":"Cycling; Downtown; Unit (ring theory); Demography; Gerontology; Geography; Transport engineering; Psychology; Medicine; Engineering; Sociology","score_opus":0.08867483517582979,"score_gpt":0.42462776213053627,"score_spread":0.33595292695470647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163044673","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99620223,0.00030642538,0.00014700835,0.0019958678,0.0003816929,0.00078499236,0.000009725856,0.000014950964,0.00015713021],"genre_scores_gemma":[0.9979719,0.00096931175,0.0007162386,0.000047074485,0.00014150684,0.000019515102,0.000004216277,0.000024687251,0.00010555063],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9945983,0.0012179888,0.00097240065,0.0003082601,0.0022760474,0.00062694534],"domain_scores_gemma":[0.9949292,0.0025347783,0.0003842298,0.00032161592,0.0014518766,0.00037833318],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0067136143,0.00017937121,0.000399248,0.0005192509,0.0011519706,0.00015869034,0.00067298865,0.00019862845,0.000102523765],"category_scores_gemma":[0.00031403202,0.00013301868,0.00018519211,0.0008241892,0.0014988862,0.00057396066,0.0000093283315,0.0021946905,0.0000019501524],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042356082,0.000154049,0.9744974,0.00027283689,0.00007149864,0.000029971716,0.011025961,0.000030693926,0.007174537,0.0021703234,0.00014505902,0.0040041488],"study_design_scores_gemma":[0.0010587547,0.00024238539,0.9833738,0.00028514562,0.00004674182,1.2394543e-7,0.002016544,0.000023703982,0.005900265,0.006213517,0.000713306,0.00012566471],"about_ca_topic_score_codex":0.013564258,"about_ca_topic_score_gemma":0.10209069,"teacher_disagreement_score":0.088526435,"about_ca_system_score_codex":0.000055422126,"about_ca_system_score_gemma":0.00029448097,"threshold_uncertainty_score":0.9930045},"labels":[],"label_agreement":null},{"id":"W2164416803","doi":"10.5539/jsd.v3n4p145","title":"Investigating the Occupants' Behaviors and Perceptions Concerning the Sustainable Transportation System in Tehran City","year":2010,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Sustainable transport; Business; Incentive; Subsidy; Investment (military); Pedestrian; Externality; Sustainable development; Sustainable city; Limiting; Transport engineering; Environmental planning; Urban planning; Sustainability; Economics; Engineering; Civil engineering","score_opus":0.01892636944104922,"score_gpt":0.285725832638752,"score_spread":0.2667994631977028,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2164416803","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976071,0.00009468899,0.00012086361,0.0010968337,0.000112889036,0.00041713833,6.3170836e-7,0.00001535186,0.00053450913],"genre_scores_gemma":[0.99841005,0.000011108855,0.0004403573,0.000058300917,0.00010157861,0.000020273153,0.0000016738808,0.0000074122077,0.0009492379],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99820143,0.00013317975,0.000605754,0.0001359035,0.00046781477,0.00045589893],"domain_scores_gemma":[0.9987373,0.00013895225,0.00035679142,0.00010703115,0.0005333182,0.00012665046],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.004225606,0.00011439722,0.00018691228,0.00011720298,0.0016984355,0.00020483401,0.000346364,0.00008878623,0.000049959235],"category_scores_gemma":[0.00019045445,0.00007033263,0.00005165908,0.00047698896,0.0004299171,0.0006439372,0.000016324313,0.0006155203,4.984587e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000099512,0.00003130497,0.8772038,0.0000788059,0.000010238965,0.000080555736,0.11526469,0.000017017355,0.00012951056,0.0065528946,0.00005574821,0.0005654791],"study_design_scores_gemma":[0.00017891575,0.000008429078,0.6021474,0.00003186379,0.000018591621,0.0000024550905,0.39254844,0.0000041445114,0.00005049956,0.00030251654,0.0046419105,0.00006482974],"about_ca_topic_score_codex":0.0030896063,"about_ca_topic_score_gemma":0.00533811,"teacher_disagreement_score":0.27728373,"about_ca_system_score_codex":0.0003512701,"about_ca_system_score_gemma":0.0014054028,"threshold_uncertainty_score":0.99960124},"labels":[],"label_agreement":null},{"id":"W2164564528","doi":"10.5539/jsd.v7n5p162","title":"Exploring the Quality of Public Space and Life in Streets of Urban Village: Evidence from the Case of Shenzhen Baishizhou","year":2014,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Status quo; Public space; Space syntax; Space (punctuation); Public life; Crowds; China; Environmental planning; Boundary (topology); Land use; Geography; Quality of life (healthcare); Urban design; Urban planning; Business; Regional science; Civil engineering; Political science; Architectural engineering; Computer science; Psychology; Computer security; Engineering","score_opus":0.11760735610436758,"score_gpt":0.32292602841324974,"score_spread":0.20531867230888218,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2164564528","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99594146,0.0011709362,0.00015144043,0.0022268612,0.00008050057,0.00019301199,0.0000014677139,0.000002695778,0.00023160283],"genre_scores_gemma":[0.99926245,0.00017167044,0.00041348123,0.000024468129,0.00006754653,0.0000045118763,2.7616463e-7,0.0000047454746,0.00005085089],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99749506,0.00056818174,0.001001222,0.00012831554,0.0005376087,0.00026960653],"domain_scores_gemma":[0.99671423,0.0013485759,0.0009080697,0.0001980474,0.0007133191,0.000117783165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009571788,0.000097950724,0.00036903107,0.000095288495,0.0002128287,0.000051106123,0.0004646025,0.000043564913,0.000034217235],"category_scores_gemma":[0.0033311099,0.000059086473,0.00006786425,0.0004571747,0.00032994652,0.0008788753,0.000088566885,0.00019403137,9.669893e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000063452884,0.000076804085,0.9210068,0.00014845039,0.00004233323,0.000048396654,0.0727597,0.000013206849,0.000073357514,0.0026704492,0.000071815564,0.0030252098],"study_design_scores_gemma":[0.00026886267,0.00002950292,0.83388156,0.0001574797,0.000015680569,9.937218e-7,0.16315421,0.0000041443304,0.00066204235,0.0009357122,0.00082243857,0.000067365334],"about_ca_topic_score_codex":0.013567083,"about_ca_topic_score_gemma":0.0069871265,"teacher_disagreement_score":0.09039451,"about_ca_system_score_codex":0.00014131775,"about_ca_system_score_gemma":0.0011069662,"threshold_uncertainty_score":0.99300164},"labels":[],"label_agreement":null},{"id":"W2165676658","doi":"","title":"A Direct Ridership Model for Rail Rapid Transit in Canada","year":2015,"lang":"en","type":"dissertation","venue":"Spectrum Research Repository (Concordia University)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Public transport; Metropolitan area; Transport engineering; Transit (satellite); Service (business); Geography; Bootstrapping (finance); Socioeconomic status; Business; Engineering; Population; Finance","score_opus":0.06508554654190507,"score_gpt":0.3157900389917628,"score_spread":0.2507044924498577,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2165676658","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70534265,0.00031885837,0.000014289948,0.0003636014,0.00063849153,0.0010002076,0.000065129396,0.000049446153,0.2922073],"genre_scores_gemma":[0.8773985,0.00013533683,0.000008953629,0.000005888459,0.0002593738,0.000013171879,0.00016028095,0.00003435379,0.12198414],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9956196,0.0006758652,0.00034928523,0.00083764194,0.0013605475,0.0011570357],"domain_scores_gemma":[0.99784786,0.00048882567,0.00015400592,0.00043034749,0.00052299415,0.0005559785],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0016937337,0.00028384515,0.00054924475,0.00074661913,0.0009720535,0.00012485588,0.0010988266,0.00038675047,0.00007291768],"category_scores_gemma":[0.00021042506,0.00034341702,0.00022773116,0.0012907999,0.00028808552,0.00044481797,0.000023191222,0.0008964898,0.0000028040595],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.014331134,0.0009275631,0.8194256,0.0028340563,0.0008484675,0.0032085422,0.08234166,0.0016403924,0.0018094344,0.006460393,0.0579593,0.0082134735],"study_design_scores_gemma":[0.010018772,0.0009605024,0.40740493,0.0013777288,0.0006663438,0.0000016487166,0.25057462,0.006872042,0.012899496,0.015699428,0.28839543,0.005129053],"about_ca_topic_score_codex":0.9915569,"about_ca_topic_score_gemma":0.99991035,"teacher_disagreement_score":0.41202065,"about_ca_system_score_codex":0.0057527083,"about_ca_system_score_gemma":0.045312773,"threshold_uncertainty_score":0.9999018},"labels":[],"label_agreement":null},{"id":"W2165946399","doi":"10.1111/j.1541-0064.2009.00301.x","title":"Measuring potential spatial access to primary health care physicians using a modified gravity model","year":2010,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":215,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of British Columbia; Simon Fraser University","funders":"Canadian Institutes of Health Research; Michael Smith Health Research BC","keywords":"Nova scotia; Gravity model of trade; Equity (law); Geography; Population; Health care; Primary care; Econometrics; Environmental health; Medicine; Business; Family medicine; Economic growth; Economics; Political science","score_opus":0.025066214886492817,"score_gpt":0.2577007261097188,"score_spread":0.23263451122322595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2165946399","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9893546,0.00045164613,0.00051299523,0.0029694927,0.0018168805,0.0011182729,0.00055628095,0.00021385738,0.0030059852],"genre_scores_gemma":[0.9956316,0.00009731664,0.0007224749,0.0025762918,0.0006511417,0.00006907628,0.00012725932,0.000067167006,0.000057708785],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99538,0.00013803435,0.00056660676,0.0009819441,0.0006749124,0.0022585446],"domain_scores_gemma":[0.9958812,0.000037420516,0.00022386642,0.0007564706,0.000498366,0.0026026648],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0005537967,0.00050201354,0.0006354965,0.0028867,0.0036387618,0.00059968507,0.0014725471,0.0003047221,0.000048321646],"category_scores_gemma":[0.00007400956,0.0005898594,0.00046347934,0.0044337437,0.0017322038,0.00093278545,0.000086386746,0.00062487315,0.0000023825855],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001782984,0.00019020731,0.8056766,0.0004692462,0.0003765896,0.00019167495,0.084659025,0.0065697795,0.0011488916,0.006852594,0.0076931072,0.08599401],"study_design_scores_gemma":[0.0012032685,0.00017435053,0.9317071,0.00020729852,0.00028591047,0.0000081545195,0.03304078,0.0012536314,0.000105561114,0.005913757,0.022773284,0.00332692],"about_ca_topic_score_codex":0.97701514,"about_ca_topic_score_gemma":0.99979097,"teacher_disagreement_score":0.1260305,"about_ca_system_score_codex":0.00038867895,"about_ca_system_score_gemma":0.0026113025,"threshold_uncertainty_score":0.9996553},"labels":[],"label_agreement":null},{"id":"W2166239205","doi":"10.1123/jpah.10.4.581","title":"Advancing Science and Policy Through a Coordinated International Study of Physical Activity and Built Environments: IPEN Adult Methods","year":2013,"lang":"en","type":"article","venue":"Journal of Physical Activity and Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":176,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute; Fogarty International Center; Heart and Stroke Foundation of Canada; National Heart, Lung, and Blood Institute; University of Hong Kong; Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS)","keywords":"Physical activity; Psychology; Medicine; Physical therapy","score_opus":0.04442048867164627,"score_gpt":0.4506788743729297,"score_spread":0.4062583857012834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2166239205","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99383986,0.000022441098,0.0007314651,0.0048447573,0.000049150396,0.0002949587,0.0000041368335,0.000005140086,0.00020809726],"genre_scores_gemma":[0.99901956,0.00008060256,0.0005115198,0.00008195148,0.00028326258,0.0000035147093,1.1127175e-7,0.0000046398945,0.000014829857],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9984386,0.00027783393,0.00018519729,0.00024319696,0.00058558857,0.00026960802],"domain_scores_gemma":[0.99876344,0.0002624304,0.00044651722,0.000091527945,0.0001753714,0.00026071724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012123603,0.000116523974,0.00043545407,0.00008700721,0.00045070195,0.000080395286,0.00019514648,0.00003210171,0.000005461531],"category_scores_gemma":[0.00025333988,0.000090697475,0.00004732653,0.00029947096,0.0008026261,0.0022165119,0.000092208626,0.0003233269,2.5863864e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002880796,0.012042629,0.16423208,0.00014989008,0.00013969795,0.000003893683,0.08432625,0.0000116958745,0.092032656,0.003477604,0.0000409265,0.6432546],"study_design_scores_gemma":[0.0008148558,0.0009309361,0.9863775,0.00004303101,0.000023740595,0.000001269063,0.0036421453,0.00084728125,0.0024290027,0.004682783,0.00010396484,0.00010350617],"about_ca_topic_score_codex":0.01757022,"about_ca_topic_score_gemma":0.0006223014,"teacher_disagreement_score":0.8221454,"about_ca_system_score_codex":0.00019396651,"about_ca_system_score_gemma":0.0003996841,"threshold_uncertainty_score":0.9889719},"labels":[],"label_agreement":null},{"id":"W2166294297","doi":"10.1016/j.healthplace.2009.11.011","title":"Individual and socio-environmental determinants of overweight and obesity in Urban Canada","year":2009,"lang":"en","type":"article","venue":"Health & Place","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":110,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"","keywords":"Neighbourhood (mathematics); Overweight; Walkability; Environmental health; Public health; Obesity; Built environment; Psychological intervention; Geography; Gerontology; Psychology; Medicine; Engineering","score_opus":0.012546030141063437,"score_gpt":0.2769842974852936,"score_spread":0.26443826734423015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2166294297","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99762046,0.0010523718,6.237257e-7,0.00088057417,0.00003859441,0.00015743678,0.000042819924,0.000004998125,0.00020210572],"genre_scores_gemma":[0.99915636,0.00016976718,0.000046393077,0.0004945299,0.000026675403,8.624237e-7,0.0000038816597,0.000001916131,0.00009962466],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99912685,0.00007836554,0.00018719416,0.00015787648,0.00021682295,0.00023286733],"domain_scores_gemma":[0.9996636,0.000050474206,0.000082166145,0.000059804024,0.0000030663057,0.00014088962],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004501815,0.000061534774,0.00015965769,0.000018887222,0.00020065172,0.000009747869,0.00007077281,0.000047972266,0.000025470701],"category_scores_gemma":[0.000010894212,0.000061424136,0.0000088348825,0.000056764766,0.00013046956,0.000117259704,0.00001056598,0.00008767951,1.7858628e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008778773,0.000040997675,0.990347,0.000020016767,7.6924385e-7,0.0000041226135,0.005669746,6.963709e-8,0.0000021453534,0.00003624953,0.0004399407,0.0034301472],"study_design_scores_gemma":[0.00021032635,0.000038858252,0.9962061,0.000017341443,0.0000023280427,2.6873806e-7,0.0015176455,0.000005033488,0.000011406715,0.00013123747,0.0018015874,0.00005787459],"about_ca_topic_score_codex":0.49951473,"about_ca_topic_score_gemma":0.8626351,"teacher_disagreement_score":0.36312035,"about_ca_system_score_codex":0.00016209821,"about_ca_system_score_gemma":0.0005504154,"threshold_uncertainty_score":0.50381804},"labels":[],"label_agreement":null},{"id":"W2166384782","doi":"10.1111/josh.12172","title":"Happiness in Motion: Emotions, Well‐Being, and Active School Travel","year":2014,"lang":"en","type":"article","venue":"Journal of School Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":125,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University; Cape Breton University; University of Toronto","funders":"Health Canada; Public Health Agency of Canada","keywords":"Happiness; Psychology; Motion (physics); Applied psychology; Social psychology; Developmental psychology; Computer science; Artificial intelligence","score_opus":0.02531183217700844,"score_gpt":0.33574188589268084,"score_spread":0.3104300537156724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2166384782","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9739282,0.00031247135,0.0022514507,0.012688442,0.00038720685,0.00019101611,0.0000019120023,0.0000115905395,0.010227712],"genre_scores_gemma":[0.99742514,0.0004375249,0.0005444829,0.00061075034,0.00066564995,0.0000012939191,8.827576e-7,0.0000061519377,0.00030814565],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983223,0.00031355122,0.000563502,0.00014649598,0.00037578953,0.00027838047],"domain_scores_gemma":[0.9987402,0.000064252235,0.00039647025,0.000096373224,0.00016430346,0.0005383963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025773654,0.00009018491,0.00029672368,0.00017841464,0.00033331476,0.00006926059,0.00018345368,0.00008393156,0.00030868375],"category_scores_gemma":[0.00031314162,0.00007875589,0.00006207845,0.0003084647,0.000115765084,0.0007310765,0.000008987046,0.0005012944,0.0000125766555],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000074729374,0.00014981977,0.9643668,0.0000806996,0.000013058482,0.0000061759656,0.003984145,0.000009119343,0.00002371252,0.0030247055,0.0013842105,0.026882827],"study_design_scores_gemma":[0.00063565094,0.00009026095,0.98588294,0.00013403263,0.000006163097,0.0000030041992,0.002561407,0.000021201315,0.000012827748,0.00709996,0.0034771757,0.00007538481],"about_ca_topic_score_codex":0.0017864648,"about_ca_topic_score_gemma":0.0023111894,"teacher_disagreement_score":0.026807442,"about_ca_system_score_codex":0.00026974455,"about_ca_system_score_gemma":0.0007894151,"threshold_uncertainty_score":0.33798704},"labels":[],"label_agreement":null},{"id":"W2166990849","doi":"10.1016/j.healthplace.2010.05.002","title":"Do neighborhood environments moderate the effect of physical activity lifestyle interventions in adults?","year":2010,"lang":"en","type":"article","venue":"Health & Place","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":73,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Bombardier (Canada)","funders":"National Cancer Institute; National Heart, Lung, and Blood Institute","keywords":"Overweight; Psychological intervention; Psychosocial; Built environment; Physical activity; Level design; Psychology; Gerontology; Intervention (counseling); Human factors and ergonomics; Poison control; Environmental health; Medicine; Obesity; Physical therapy; Engineering; Computer science","score_opus":0.01637615219142762,"score_gpt":0.3440144243475343,"score_spread":0.3276382721561067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2166990849","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99664706,0.00005958214,0.00010066112,0.0015318688,0.00015508893,0.00048953,0.0000143552425,0.00001480235,0.0009870687],"genre_scores_gemma":[0.9996243,0.000015608426,0.000012938798,0.000035626945,0.00010535664,0.000031725973,0.0000026640032,0.000005361761,0.00016640677],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99874294,0.00041491538,0.00016540586,0.00019299811,0.00022560393,0.00025815592],"domain_scores_gemma":[0.9992158,0.00033380924,0.00013394117,0.00021142996,0.0000067089713,0.00009830706],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012031324,0.000082671344,0.00019663513,0.000023784822,0.00025819876,0.00001895093,0.00020449869,0.000056905497,0.0000681923],"category_scores_gemma":[0.000093354174,0.000057871097,0.00010787562,0.00014645477,0.00019588586,0.00018014415,0.000021442687,0.00036819786,0.000012986242],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003920164,0.00086700974,0.9485349,0.00034753716,0.000013167327,0.0000018044029,0.01675142,0.000043326174,0.00022833639,0.0012188965,0.00014166436,0.03145993],"study_design_scores_gemma":[0.0009797801,0.0003355511,0.9945939,0.00017850428,0.000012345165,1.1818762e-7,0.00034562458,0.0011827792,0.00074979156,0.00038719218,0.0011120089,0.00012235953],"about_ca_topic_score_codex":0.004529732,"about_ca_topic_score_gemma":0.015986776,"teacher_disagreement_score":0.046059053,"about_ca_system_score_codex":0.000054354296,"about_ca_system_score_gemma":0.00010609453,"threshold_uncertainty_score":0.8920996},"labels":[],"label_agreement":null},{"id":"W2167013226","doi":"10.3141/2339-08","title":"Classification of Bicycle Traffic Patterns in Five North American Cities","year":2013,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":82,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; U.S. Department of Transportation","keywords":"Recreation; Geography; Traffic volume; Transport engineering; Engineering; Ecology","score_opus":0.09171563284256601,"score_gpt":0.39831737598402067,"score_spread":0.30660174314145466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2167013226","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944266,0.00007344982,0.000112680464,0.00360864,0.00022920569,0.0012176932,0.000069511596,0.0000213611,0.0002408328],"genre_scores_gemma":[0.998307,0.0006186198,0.00030522904,0.000023737468,0.00014269249,0.00009793914,0.000022093936,0.000030289044,0.00045240094],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9916837,0.0017507202,0.0016557344,0.00038239566,0.0036211049,0.00090630923],"domain_scores_gemma":[0.99395406,0.0010429055,0.0007166831,0.0004136249,0.003515963,0.00035678534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039175753,0.00019929124,0.0005216455,0.0011713642,0.00055249495,0.00012536858,0.0013198887,0.0001305704,0.0005438941],"category_scores_gemma":[0.00021237516,0.00015852303,0.0003418875,0.0038029277,0.002071489,0.0011535502,0.0000044607036,0.0016386374,0.000016422351],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028038278,0.0002875283,0.97029835,0.00012465921,0.00004015537,0.0000139468775,0.015561644,0.00041884935,0.00034586468,0.00044342145,0.00055510807,0.0116301095],"study_design_scores_gemma":[0.0006576134,0.0002611954,0.9729638,0.0001693476,0.000019874604,2.4178627e-8,0.023871252,0.000084409876,0.00014319681,0.00084873196,0.00083471445,0.00014582572],"about_ca_topic_score_codex":0.186023,"about_ca_topic_score_gemma":0.7539618,"teacher_disagreement_score":0.5679388,"about_ca_system_score_codex":0.00030187075,"about_ca_system_score_gemma":0.0009309369,"threshold_uncertainty_score":0.81939733},"labels":[],"label_agreement":null},{"id":"W2167041463","doi":"10.1123/jpah.8.s1.s72","title":"Commuting by Public Transit and Physical Activity: Where You Live, Where You Work, and How You Get There","year":2011,"lang":"en","type":"article","venue":"Journal of Physical Activity and Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":138,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Heart, Lung, and Blood Institute; National Institutes of Health","keywords":"Walkability; Public transport; Destinations; Physical activity; Built environment; Transit (satellite); Gerontology; Environmental health; Transport engineering; Psychology; Geography; Medicine; Physical therapy; Engineering","score_opus":0.07502964355412145,"score_gpt":0.32539973060918964,"score_spread":0.2503700870550682,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2167041463","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97127235,0.0012440907,0.0001727402,0.026485166,0.00006803829,0.00020790023,0.000025619784,0.000026119396,0.000497969],"genre_scores_gemma":[0.99818385,0.0009804065,0.00006720924,0.00008590752,0.000509209,0.0000023735226,8.7611613e-7,0.000017050805,0.00015311911],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99808234,0.00041832667,0.00017355435,0.00033114795,0.00046697154,0.00052767625],"domain_scores_gemma":[0.99847716,0.0001994703,0.00045662184,0.00015064707,0.00010708465,0.00060899364],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00096664025,0.00024305204,0.00071561197,0.0000510731,0.0008219055,0.00024237848,0.00021358684,0.0001317883,0.0000242814],"category_scores_gemma":[0.000027704778,0.00019253715,0.00015566639,0.00022424992,0.00061579555,0.0017330204,0.00004544726,0.0009453106,7.732378e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004682071,0.004504858,0.5074749,0.0004938651,0.0001733682,0.00001954162,0.06564732,2.567337e-7,0.0011145258,0.0013340389,0.0010984411,0.41767067],"study_design_scores_gemma":[0.0015319021,0.0012202252,0.97908753,0.00029404,0.00012757706,0.0000062382105,0.0067221434,0.00014966643,0.0003657453,0.002984025,0.0069950037,0.0005159133],"about_ca_topic_score_codex":0.0028995282,"about_ca_topic_score_gemma":0.003946537,"teacher_disagreement_score":0.47161263,"about_ca_system_score_codex":0.00008124434,"about_ca_system_score_gemma":0.00025020185,"threshold_uncertainty_score":0.78514373},"labels":[],"label_agreement":null},{"id":"W2167236262","doi":"10.5539/gjhs.v4n4p126","title":"The Impact of Built Environment on Diabetic Patients: The Case of Eastern Province, Kingdom of Saudi Arabia","year":2012,"lang":"en","type":"article","venue":"Global Journal of Health Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Medicine; Diabetes mellitus; Blindness; Life style; Quality of life (healthcare); Disease; Built environment; Amputation; Gerontology; Environmental health; Optometry; Nursing; Surgery; Engineering","score_opus":0.02977639698911645,"score_gpt":0.3531221436197344,"score_spread":0.32334574663061794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2167236262","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978358,0.00065781,0.000037746784,0.0004006876,0.00027745008,0.00024222856,0.00002239433,0.0000015096193,0.0005243744],"genre_scores_gemma":[0.9997766,0.00006977868,0.00005637083,0.00003670673,0.000052423733,6.3114214e-7,1.214136e-7,0.0000016133556,0.0000057722064],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99754137,0.00018504623,0.0007715259,0.00010626852,0.0009270881,0.00046873227],"domain_scores_gemma":[0.99772894,0.00011665896,0.0014996513,0.00024170427,0.00018323818,0.00022977816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004986839,0.00008660614,0.00025041366,0.00003818407,0.0005414616,0.000023325336,0.0007678584,0.000027605687,0.00001541054],"category_scores_gemma":[0.00015956302,0.000041933,0.00014093277,0.00041997802,0.0020193434,0.00042542611,0.00004379683,0.00012709234,0.0000010519645],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043183365,0.00028577546,0.98489726,0.000018601684,0.0000073728716,0.0000015808929,0.00071569905,0.000057982907,0.000021152235,0.0005509658,0.000052076866,0.013348362],"study_design_scores_gemma":[0.0002111957,0.00047757276,0.99783355,0.000073286516,0.000010268543,0.000005656262,0.0006610537,0.000013653327,0.00008188513,0.0004437312,0.00014671222,0.000041434523],"about_ca_topic_score_codex":0.007859692,"about_ca_topic_score_gemma":0.00041362032,"teacher_disagreement_score":0.013306928,"about_ca_system_score_codex":0.00037198298,"about_ca_system_score_gemma":0.0011596709,"threshold_uncertainty_score":0.99874705},"labels":[],"label_agreement":null},{"id":"W2167294440","doi":"10.1016/j.socscimed.2009.01.017","title":"Neighborhood built environment and income: Examining multiple health outcomes","year":2009,"lang":"en","type":"article","venue":"Social Science & Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":664,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Vancouver Community College","funders":"National Heart, Lung, and Blood Institute; Centers for Disease Control and Prevention","keywords":"Walkability; Overweight; Gerontology; Body mass index; Obesity; Built environment; Quality of life (healthcare); Environmental health; Ethnic group; Level design; Demography; Medicine; Physical activity; Psychology; Physical therapy; Sociology","score_opus":0.041400600177447795,"score_gpt":0.35069571202686206,"score_spread":0.3092951118494143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2167294440","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95911777,0.00039172225,0.00022779254,0.02732359,0.00026503095,0.0002789603,0.000002925603,0.000079483136,0.012312752],"genre_scores_gemma":[0.9969976,0.00007940998,0.000060467897,0.002247637,0.0004082885,0.0000038672756,0.0000021422104,0.0000040632954,0.00019654304],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975695,0.00008747822,0.00030931967,0.0004211377,0.0010100384,0.0006025414],"domain_scores_gemma":[0.99920017,0.00010120815,0.00014724316,0.00014892689,0.00003603041,0.00036642238],"candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0026745177,0.00013352398,0.00031540394,0.00009422602,0.0020342672,0.000050200608,0.00040716847,0.00006211943,0.00016072222],"category_scores_gemma":[0.00034025635,0.000103613405,0.000029809116,0.0005710591,0.0028797658,0.0004315379,0.000027418551,0.00015920994,0.000004115163],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000035864903,0.00003625383,0.9078202,0.0000032665762,0.0000018200011,0.0000015557613,0.038310926,1.294528e-7,0.0001860789,0.0021984722,0.00008140675,0.051356293],"study_design_scores_gemma":[0.00045518193,0.00011897735,0.9885785,0.000015977792,0.000007292594,1.4232586e-7,0.0043268832,0.000007163842,0.000008880575,0.0037535427,0.0026105675,0.000116910065],"about_ca_topic_score_codex":0.003160951,"about_ca_topic_score_gemma":0.0007370614,"teacher_disagreement_score":0.08075827,"about_ca_system_score_codex":0.00022759665,"about_ca_system_score_gemma":0.00028235608,"threshold_uncertainty_score":0.9998338},"labels":[],"label_agreement":null},{"id":"W2168164263","doi":"10.4000/vertigo.8771","title":"Harmoniser politiques sociale et environnementale : évaluation de l’impact d’une réhabilitation de quartiers défavorisés sur les émissions de CO2 liées aux déplacements","year":2009,"lang":"fr","type":"article","venue":"VertigO","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Art","score_opus":0.06131196704726825,"score_gpt":0.3711397408861366,"score_spread":0.30982777383886834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168164263","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95934075,0.0019668604,0.0031221206,0.03262336,0.0002259285,0.0004621169,0.00008396421,0.000108838314,0.002066081],"genre_scores_gemma":[0.99283093,0.00074441894,0.0019119596,0.0008154091,0.00030244558,0.00002705695,0.00009058415,0.000022829898,0.0032543794],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9966516,0.0009511591,0.0004941315,0.00042098452,0.00053746457,0.0009446904],"domain_scores_gemma":[0.998764,0.0002286684,0.0001971892,0.00023017294,0.00014749056,0.00043252125],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0017623861,0.00028794387,0.0002888793,0.00008846518,0.0011517367,0.00016124033,0.0002852439,0.0003243601,0.0013671258],"category_scores_gemma":[0.0003540319,0.0003045789,0.00028597185,0.00044842498,0.000598035,0.0010210945,0.000018181521,0.0002916929,0.000030965854],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000095467345,0.00095847115,0.906985,0.00005558506,0.000065792054,0.000005044014,0.05298668,0.00028183308,0.0066647106,0.0067553897,0.007441483,0.017704584],"study_design_scores_gemma":[0.0007101199,0.0003311135,0.9304828,0.00012568632,0.00016033355,4.4118823e-7,0.010714567,0.0013055084,0.0028141704,0.04449044,0.008514722,0.00035010302],"about_ca_topic_score_codex":0.032857854,"about_ca_topic_score_gemma":0.0072702197,"teacher_disagreement_score":0.042272113,"about_ca_system_score_codex":0.0016045312,"about_ca_system_score_gemma":0.0017944349,"threshold_uncertainty_score":0.99994063},"labels":[],"label_agreement":null},{"id":"W2168416875","doi":"10.1186/1479-5868-2-11","title":"Perceived environment and physical activity: a meta-analysis of selected environmental characteristics","year":2005,"lang":"en","type":"article","venue":"International Journal of Behavioral Nutrition and Physical Activity","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":416,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Central Queensland University","keywords":"Meta-analysis; Logistic regression; Behavioural sciences; Variance (accounting); Construct (python library); Regression analysis; Population; Psychology; Environmental health; Demography; Medicine; Applied psychology; Gerontology; Statistics; Mathematics; Computer science","score_opus":0.05340541714769309,"score_gpt":0.3473873523007697,"score_spread":0.29398193515307663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168416875","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985844,0.000034077613,0.00009489095,0.00089606724,0.000033995806,0.00010166438,0.00023177447,0.0000058929218,0.00001723355],"genre_scores_gemma":[0.9994086,0.0001192136,0.00009936667,0.00001655116,0.00030076146,0.000005170207,0.000015170201,0.0000051880984,0.000029963805],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99875426,0.00013834941,0.00018375192,0.00017613282,0.0006278124,0.00011971469],"domain_scores_gemma":[0.99928105,0.00009593483,0.00034330875,0.000065585366,0.00008320402,0.00013093831],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014210069,0.00012685049,0.0005740232,0.0001226632,0.000091864225,0.00005046269,0.00013842981,0.000053114356,0.00016591164],"category_scores_gemma":[0.000007391104,0.000108575725,0.00046343912,0.00011861056,0.00032217184,0.0005969899,0.000029083243,0.00021418293,0.0000010518173],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016159983,0.055345614,0.221461,0.00003803995,0.029775484,0.000052453932,0.020016497,0.000027486129,0.45992768,0.00029835087,0.000049568032,0.21139184],"study_design_scores_gemma":[0.00055688305,0.00013653633,0.977928,0.000005106488,0.015862552,0.0000018265741,0.0002125392,0.00054701447,0.004037673,0.00011254872,0.00046122735,0.00013813646],"about_ca_topic_score_codex":0.00016262168,"about_ca_topic_score_gemma":0.00004403374,"teacher_disagreement_score":0.756467,"about_ca_system_score_codex":0.00010094303,"about_ca_system_score_gemma":0.000023813538,"threshold_uncertainty_score":0.44275898},"labels":[],"label_agreement":null},{"id":"W2168877862","doi":"10.1061/(asce)up.1943-5444.0000217","title":"Retrofitting Suburban Homes for Resiliency: Design Principles","year":2014,"lang":"en","type":"article","venue":"Journal of Urban Planning and Development","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; McMaster University","keywords":"Obsolescence; Retrofitting; Stock (firearms); Environmental planning; Subdivision; Business; Architectural engineering; Engineering; Geography; Civil engineering; Marketing","score_opus":0.06361899268627921,"score_gpt":0.3103607666237453,"score_spread":0.24674177393746607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168877862","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91063917,0.0017861006,0.084588096,0.00048200297,0.00040593176,0.00019625091,9.570133e-7,0.00003320164,0.001868267],"genre_scores_gemma":[0.95384073,0.000013441455,0.044926934,0.000062239764,0.000338419,0.000003247881,0.0000014162731,0.000007912763,0.00080566783],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986437,0.00010001332,0.0005041003,0.00014699706,0.0003316768,0.00027352571],"domain_scores_gemma":[0.9988551,0.0003913066,0.00035954724,0.0000659352,0.00016656156,0.00016154206],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033490777,0.0001037801,0.00024255426,0.000107590095,0.00055537885,0.00009524365,0.00018878793,0.00007245312,0.000009652905],"category_scores_gemma":[0.00046724704,0.00008408443,0.00004970169,0.00009410833,0.00009211166,0.00020574009,0.0000133968915,0.00013055278,7.6966865e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010633464,0.000030997104,0.96665007,0.000040521598,0.00003138774,0.0000056544145,0.021593709,0.000053057916,0.000052194435,0.0004476431,0.0040647695,0.006923662],"study_design_scores_gemma":[0.00090491,0.00021286581,0.63105285,0.00033299433,0.00003360943,0.0000040621703,0.0033988948,0.0001406619,0.0011419844,0.0009783346,0.3615031,0.00029573543],"about_ca_topic_score_codex":0.00001466551,"about_ca_topic_score_gemma":0.000015035356,"teacher_disagreement_score":0.35743833,"about_ca_system_score_codex":0.000068337846,"about_ca_system_score_gemma":0.0003948531,"threshold_uncertainty_score":0.42715815},"labels":[],"label_agreement":null},{"id":"W2168945639","doi":"10.1016/j.ypmed.2015.08.010","title":"Accounting for the daily locations visited in the study of the built environment correlates of recreational walking (the RECORD Cohort Study)","year":2015,"lang":"en","type":"article","venue":"Preventive Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":75,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"Canadian Institutes of Health Research; Canadian HIV Trials Network, Canadian Institutes of Health Research; École des Hautes Études en Santé Publique; Institut National de Prévention et d'Éducation pour la Santé","keywords":"Recreation; Destinations; Medicine; Built environment; Odds; Environmental health; Geography; Demography; Tourism; Ecology","score_opus":0.04853564687493807,"score_gpt":0.33774541185274765,"score_spread":0.2892097649778096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168945639","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99301386,0.0002839228,0.0004918428,0.0019252999,0.00018962668,0.0035265125,0.0000031828424,0.0000044480194,0.0005612805],"genre_scores_gemma":[0.999284,0.000016053047,0.000013737514,0.000037887814,0.00012230004,0.0002447016,0.0000044894264,0.000004247862,0.000272524],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980799,0.00055389473,0.00041372018,0.00016419048,0.000667481,0.00012082237],"domain_scores_gemma":[0.99794173,0.0012632825,0.00031913826,0.00032385916,0.00013409238,0.000017900265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0061188014,0.00007833657,0.00017453128,0.000029503983,0.0003918242,0.000010405047,0.0006235842,0.0000234563,0.00006968582],"category_scores_gemma":[0.0007019368,0.000031752927,0.000046677236,0.00038259613,0.00044664808,0.00008729271,0.00004586451,0.00014043227,6.412793e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024372812,0.00044726214,0.911349,0.0000037066507,0.000059797574,1.05550804e-7,0.08549922,0.000035889745,0.000007691079,0.000084258,0.00010518893,0.0023834873],"study_design_scores_gemma":[0.00057340995,0.0001268282,0.852725,0.000039299677,0.00020663277,3.4215144e-8,0.14455573,0.00009660947,0.0000050766616,0.0011930399,0.00044826732,0.000030068635],"about_ca_topic_score_codex":0.0075108088,"about_ca_topic_score_gemma":0.011183529,"teacher_disagreement_score":0.059056513,"about_ca_system_score_codex":0.00005574679,"about_ca_system_score_gemma":0.000073056144,"threshold_uncertainty_score":0.99909824},"labels":[],"label_agreement":null},{"id":"W2169233080","doi":"","title":"Understanding Relationships Between Regional Accessibility, Travel Behavior and Home Values","year":2010,"lang":"en","type":"article","venue":"Transportation Research Board 89th Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Neighbourhood (mathematics); Travel behavior; Sample (material); Land use; Regression analysis; Transport engineering; Business; Property value; Space (punctuation); Geography; Econometrics; Computer science; Economics; Statistics; Real estate; Mathematics; Civil engineering; Engineering","score_opus":0.30198721845940224,"score_gpt":0.45056414901479463,"score_spread":0.1485769305553924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169233080","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9869897,0.00013308006,0.0009896025,0.004179245,0.0003288508,0.002571435,0.0005224332,0.00033963285,0.0039460533],"genre_scores_gemma":[0.99465466,0.00026129914,0.001753797,0.000036582333,0.00073320785,0.00046183477,0.00063594064,0.00010021133,0.0013624699],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98537815,0.0025953143,0.0016035818,0.0017893243,0.0062995106,0.002334096],"domain_scores_gemma":[0.9903657,0.0036859245,0.00030798398,0.00079025084,0.0031827854,0.0016673926],"candidate_categories":["metaepi_narrow","sts","research_integrity"],"consensus_categories":["sts"],"category_scores_codex":[0.02071617,0.00050974183,0.00070970703,0.001591576,0.0060174474,0.0006942598,0.0012685608,0.0009364811,0.00086884096],"category_scores_gemma":[0.0010413331,0.00053741375,0.00029158557,0.003235551,0.005347571,0.0025598917,0.000024721656,0.0054025995,0.00006404994],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028557106,0.00027975405,0.9375435,0.00018562797,0.000053316555,0.000058386933,0.029164195,0.000005212926,0.0011882478,0.02923628,0.001071659,0.00092821644],"study_design_scores_gemma":[0.0011208875,0.00017467547,0.9238459,0.0001110616,0.00008467739,1.638931e-7,0.04046978,0.000013603978,0.00026573287,0.030305352,0.0030650583,0.00054309785],"about_ca_topic_score_codex":0.01949209,"about_ca_topic_score_gemma":0.13534403,"teacher_disagreement_score":0.11585194,"about_ca_system_score_codex":0.00040599928,"about_ca_system_score_gemma":0.0014684608,"threshold_uncertainty_score":0.99970776},"labels":[],"label_agreement":null},{"id":"W2169501033","doi":"10.1186/s12889-015-2209-0","title":"A reliability assessment of a direct-observation park evaluation tool: the Parks, activity and recreation among kids (PARK) tool","year":2015,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institut National de la Recherche Scientifique; McGill University Health Centre; Université de Montréal; McGill University; Centre Hospitalier de l’Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"Canadian Institutes of Health Research; Alexander von Humboldt-Stiftung; Heart and Stroke Foundation of Canada","keywords":"Cohen's kappa; Recreation; Audit; Reliability (semiconductor); Kappa; Biostatistics; Cronbach's alpha; National park; Medicine; Environmental resource management; Applied psychology; Public health; Psychometrics; Psychology; Geography; Statistics; Clinical psychology; Ecology; Environmental science; Nursing; Accounting; Archaeology; Mathematics","score_opus":0.15220810121034992,"score_gpt":0.4076148330627043,"score_spread":0.2554067318523544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169501033","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9865977,0.00009033382,0.0024524839,0.00479611,0.00020115526,0.0014545352,0.000014658819,0.00006457092,0.0043284483],"genre_scores_gemma":[0.9980923,0.00005182908,0.001319136,0.000107914435,0.00012129573,0.00014496509,0.000047807083,0.0000065539225,0.00010822819],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9954392,0.0023192756,0.0004943299,0.00036721706,0.0010425408,0.00033748793],"domain_scores_gemma":[0.9979356,0.00039042855,0.00043123637,0.00039926684,0.000625537,0.0002179122],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02646758,0.000112591806,0.00025551184,0.000050137536,0.0004622966,0.00014278389,0.00018719777,0.00010914906,0.00004787126],"category_scores_gemma":[0.0027639226,0.00008464166,0.000054230964,0.0005783478,0.00031341662,0.0012771937,0.00002718005,0.00015759368,6.435866e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018040315,0.000159674,0.96734196,0.000053303975,0.00000583984,3.0528387e-8,0.003375791,0.000015427267,0.0000069810267,0.0011212796,0.00041054693,0.027491119],"study_design_scores_gemma":[0.0003508404,0.00006507171,0.98640835,0.000017452387,0.000015277114,3.308333e-8,0.000885485,0.0059393332,0.0000056112144,0.0014584544,0.0047616307,0.000092452414],"about_ca_topic_score_codex":0.024927521,"about_ca_topic_score_gemma":0.025851043,"teacher_disagreement_score":0.027398666,"about_ca_system_score_codex":0.000740149,"about_ca_system_score_gemma":0.005642857,"threshold_uncertainty_score":0.9999942},"labels":[],"label_agreement":null},{"id":"W2169638584","doi":"10.24043/isj.244","title":"Island Transport, Car Ownership and Use: A Focus on Practices in Cuba, Malta, Mauritius and Singapore","year":2010,"lang":"en","type":"article","venue":"Island Studies Journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Car ownership; Sustainability; Transport system; Geography; Economic geography; Sustainable transport; Business; Economic growth; Development economics; Economy; Regional science; Political science; Public transport; Economics; Transport engineering; Engineering","score_opus":0.06236118418332287,"score_gpt":0.35261945799557504,"score_spread":0.29025827381225217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169638584","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9898723,0.0024290485,0.000005246342,0.0033835997,0.00039283762,0.00015731143,0.000021630842,0.000015723715,0.003722308],"genre_scores_gemma":[0.9961663,0.0025621408,0.0000995983,0.000099586294,0.00047081237,0.0000046665723,0.0000011056171,0.000009677925,0.0005861042],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998493,0.00012863647,0.00033084574,0.00028656045,0.00034276463,0.0004181695],"domain_scores_gemma":[0.99894357,0.00039711,0.00027503894,0.000104714694,0.00010261552,0.00017694093],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013750519,0.00017122777,0.0003239052,0.00011079846,0.0008042061,0.00021138124,0.00013035588,0.00012875146,0.00006795415],"category_scores_gemma":[0.0004216455,0.00012330958,0.000052153187,0.0001526806,0.0005315375,0.000694699,0.000014042587,0.0007905386,0.0000010991932],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012360667,0.00006683232,0.9720699,0.00002763695,0.000049742506,0.00024167611,0.023756003,6.299409e-7,0.000050846542,0.00033473625,0.00034182856,0.002936569],"study_design_scores_gemma":[0.0013643198,0.00014242991,0.9641195,0.00012087643,0.000084225656,0.00004322299,0.011777633,0.0000065177633,0.00002046012,0.0077530365,0.014283996,0.00028377332],"about_ca_topic_score_codex":0.0016155657,"about_ca_topic_score_gemma":0.30370384,"teacher_disagreement_score":0.3020883,"about_ca_system_score_codex":0.000030080477,"about_ca_system_score_gemma":0.000098838325,"threshold_uncertainty_score":0.7090017},"labels":[],"label_agreement":null},{"id":"W2169856284","doi":"10.1080/17450120600914522","title":"Environmental equity is child's play: mapping public provision of recreation opportunities in urban neighbourhoods","year":2006,"lang":"en","type":"article","venue":"Vulnerable Children and Youth Studies","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":64,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University","funders":"","keywords":"Recreation; Equity (law); Business; Environmental planning; Economic growth; Geography; Political science; Economics","score_opus":0.06632285791801656,"score_gpt":0.2980568583035424,"score_spread":0.23173400038552583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169856284","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98043704,0.0067186444,0.000016724644,0.000667981,0.000060736842,0.00032342842,0.00013785814,0.000035236702,0.0116023775],"genre_scores_gemma":[0.9973341,0.001814599,0.000042828022,0.000066688386,0.00016206698,0.0000091719585,0.0000934919,0.000007785832,0.00046923195],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985927,0.00014278373,0.00035980184,0.0002941506,0.0002991017,0.0003115033],"domain_scores_gemma":[0.9996069,0.000047282614,0.00015065997,0.0001078862,0.000026505395,0.000060760627],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008411011,0.00015237466,0.00029787965,0.00013438979,0.0007955724,0.000062293686,0.00013209203,0.00008180381,0.000066012224],"category_scores_gemma":[0.000041558957,0.0001331224,0.000055403885,0.00018092857,0.00047163427,0.00042707656,0.00008364792,0.00016456195,8.696006e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010526496,0.00013590818,0.9549837,0.000022092148,0.000034837125,7.8109247e-7,0.035199832,0.0000015875313,0.00002534417,0.0010832947,0.00018500726,0.008317078],"study_design_scores_gemma":[0.000486788,0.000034726374,0.9685168,0.00010069629,0.000026275791,2.4435022e-7,0.029000117,0.0000074927657,0.00016895219,0.0011779681,0.00030084714,0.00017904352],"about_ca_topic_score_codex":0.008091204,"about_ca_topic_score_gemma":0.0020590117,"teacher_disagreement_score":0.016897123,"about_ca_system_score_codex":0.0000744656,"about_ca_system_score_gemma":0.00004535894,"threshold_uncertainty_score":0.998514},"labels":[],"label_agreement":null},{"id":"W2170139840","doi":"10.1007/s11116-014-9523-8","title":"What’s your type: a multidimensional cyclist typology","year":2014,"lang":"en","type":"article","venue":"Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":154,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Typology; Transport engineering; Cycling; Psychological intervention; Flexibility (engineering); TRIPS architecture; Psychology; Engineering; Geography; Mathematics; Statistics","score_opus":0.03179439869180816,"score_gpt":0.33016782010737583,"score_spread":0.29837342141556766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2170139840","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9927775,0.00007733113,0.0005098128,0.0010672022,0.0011581773,0.00012784878,0.0000041024073,0.000099709956,0.0041783075],"genre_scores_gemma":[0.99764687,0.00004870475,0.00050362805,0.00024707348,0.00018861335,0.000005349182,0.00013195044,0.0000078,0.0012200312],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991277,0.000067096415,0.00018927825,0.0002003634,0.00021985949,0.00019570932],"domain_scores_gemma":[0.9995948,0.00005295423,0.00005868378,0.00010818067,0.00010156484,0.00008378084],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034722808,0.0000755219,0.00011083686,0.000035168196,0.00023461913,0.000029248831,0.00009753412,0.0000997698,0.00063301687],"category_scores_gemma":[0.000028304421,0.00007411423,0.000050250954,0.00017333333,0.00016870556,0.00046656214,7.0188963e-7,0.00008541573,0.00008197476],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013623715,0.00018586067,0.87529093,0.000030728243,0.000022449689,0.0000074198883,0.025633788,0.000061046354,0.0013562096,0.087736376,0.00067128194,0.00886766],"study_design_scores_gemma":[0.00029086342,0.000026583048,0.9544275,0.000013460312,0.000025109908,5.2023577e-8,0.0019793853,0.00003184122,0.000162546,0.0032181148,0.0397017,0.00012286313],"about_ca_topic_score_codex":0.0017277938,"about_ca_topic_score_gemma":0.015116948,"teacher_disagreement_score":0.08451826,"about_ca_system_score_codex":0.00002065169,"about_ca_system_score_gemma":0.00007070016,"threshold_uncertainty_score":0.8435612},"labels":[],"label_agreement":null},{"id":"W2170261954","doi":"10.17269/cjph.104.4122","title":"Too Far to Walk or Bike?","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Ottawa; Children's Hospital of Eastern Ontario","funders":"","keywords":"Residence; Destinations; Transport engineering; Advertising; Psychology; Geography; Business; Sociology; Engineering; Tourism","score_opus":0.09602283197802476,"score_gpt":0.3443982263345907,"score_spread":0.24837539435656597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2170261954","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.790208,0.00035576985,0.00038080208,0.20132996,0.0007458096,0.00025628658,0.000012720441,0.000011153489,0.006699513],"genre_scores_gemma":[0.9847188,0.000028022227,0.0005230246,0.011737656,0.00043892808,0.0000029126788,0.0000012014408,0.0000077754985,0.0025416645],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981485,0.00019274128,0.0004410134,0.00011308263,0.00028699322,0.00081764517],"domain_scores_gemma":[0.9938583,0.000050797807,0.00017404334,0.00013294384,0.00040357508,0.0053803585],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002521664,0.00007515181,0.0002107294,0.00029839727,0.0005139053,0.00029039104,0.00048135407,0.000064641274,0.005828549],"category_scores_gemma":[0.00069336494,0.00005838087,0.00006562207,0.0006167749,0.00014387062,0.0007110254,0.0000040536006,0.00020293024,0.00010099346],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000027039262,0.000030784908,0.4705807,0.000020725294,0.000019405252,0.00004236003,0.02403257,8.241243e-7,0.0000024201136,0.0044407453,0.2100945,0.29073226],"study_design_scores_gemma":[0.00009291534,0.00008046788,0.27920318,0.000010163146,0.0000013915553,0.000002081638,0.003588652,0.0000010522907,5.960464e-7,0.00042980193,0.716524,0.000065706525],"about_ca_topic_score_codex":0.45214245,"about_ca_topic_score_gemma":0.8598053,"teacher_disagreement_score":0.5064295,"about_ca_system_score_codex":0.00071658136,"about_ca_system_score_gemma":0.02395598,"threshold_uncertainty_score":0.99508023},"labels":[],"label_agreement":null},{"id":"W2170403848","doi":"10.17269/cjph.106.4393","title":"Projets de proximité axés sur l’environnement bâti: association avec la défavorisation du quartier, la diversité des usages du sol et le risque de traumatismes pour les usagers de la route","year":2015,"lang":"fr","type":"article","venue":"Canadian Journal of Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; Sante Montreal; Université de Montréal","funders":"Canadian Institutes of Health Research","keywords":"Political science; Humanities; Art","score_opus":0.0628304879901914,"score_gpt":0.2984762656950718,"score_spread":0.23564577770488038,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2170403848","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88478506,0.0021695723,0.0044164793,0.10387456,0.0003033634,0.00027596453,0.00007274084,0.000018084105,0.0040841727],"genre_scores_gemma":[0.99520916,0.0008322162,0.0018240156,0.0006613257,0.00048990553,0.000007810101,0.000011863914,0.000022826358,0.00094085734],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99233264,0.0050887717,0.0006709797,0.00022840149,0.00054124836,0.0011379556],"domain_scores_gemma":[0.99547035,0.0005940344,0.0009120077,0.00012083256,0.00036157804,0.0025412098],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.023085112,0.00021460159,0.00038065008,0.00026122644,0.00096620404,0.00054100517,0.00042801813,0.00037737857,0.00011535534],"category_scores_gemma":[0.0020698977,0.00022852686,0.00017069888,0.00034364843,0.0005655601,0.0015829765,0.000012912165,0.0006400609,0.0000037824213],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.0000059399076,0.00017749968,0.8402065,0.000079085265,0.00007895854,0.000077349185,0.11170218,0.0001407634,0.0000027215783,0.0042684856,0.008611292,0.03464923],"study_design_scores_gemma":[0.0009602542,0.00013768421,0.906192,0.00014006808,0.0000545272,0.000028809985,0.021295264,0.00066956563,0.00001069184,0.0031999988,0.06710725,0.00020388867],"about_ca_topic_score_codex":0.4502148,"about_ca_topic_score_gemma":0.6331536,"teacher_disagreement_score":0.18293881,"about_ca_system_score_codex":0.00907024,"about_ca_system_score_gemma":0.040063746,"threshold_uncertainty_score":0.99473375},"labels":[],"label_agreement":null},{"id":"W2170519791","doi":"10.1136/bjsm.2009.058701","title":"The development of a walkability index: application to the Neighborhood Quality of Life Study","year":2009,"lang":"en","type":"review","venue":"British Journal of Sports Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1271,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University of British Columbia","funders":"National Heart, Lung, and Blood Institute","keywords":"Walkability; Index (typography); Environmental health; Quality of life (healthcare); Gerontology; Medicine; Computer science; Physical activity; Physical therapy; World Wide Web; Nursing","score_opus":0.053740784213874675,"score_gpt":0.3886268902377104,"score_spread":0.33488610602383573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2170519791","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0123528335,0.9840119,0.0003501411,0.0004531118,0.00032399874,0.0017824913,0.000008322691,0.0000076138404,0.0007095705],"genre_scores_gemma":[0.33485332,0.6645032,0.000044757886,0.000033003238,0.00047862617,0.000016805094,0.0000048004367,0.000009488546,0.000056001023],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99324393,0.0004987804,0.0038161094,0.00025990387,0.0019290443,0.0002522534],"domain_scores_gemma":[0.9945457,0.00042223828,0.0035560792,0.0004225488,0.00080088817,0.00025255443],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017213766,0.00020843817,0.0018925737,0.00009205589,0.00042627705,0.000025196081,0.0011491401,0.00014412875,0.00008528617],"category_scores_gemma":[0.0012059634,0.000119999946,0.0003206577,0.00079962943,0.0004771267,0.00008883548,0.00003856731,0.00054066535,5.2178206e-7],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027548975,0.0003305971,0.022930956,0.00065508246,0.00008807793,0.000006306981,0.0033041807,3.1839994e-7,4.118289e-8,0.000031591127,0.0002338585,0.9723914],"study_design_scores_gemma":[0.0003520714,0.000082543804,0.6465926,0.008747498,0.00035132872,0.0000053037897,0.0041054827,7.513625e-8,1.17538725e-7,0.0003703514,0.33925515,0.00013748596],"about_ca_topic_score_codex":0.0016467944,"about_ca_topic_score_gemma":0.004624628,"teacher_disagreement_score":0.972254,"about_ca_system_score_codex":0.00014498604,"about_ca_system_score_gemma":0.0020850773,"threshold_uncertainty_score":0.5965982},"labels":[],"label_agreement":null},{"id":"W2170765612","doi":"10.1177/1090198111423272","title":"Increasing Children’s Physical Activity","year":2011,"lang":"en","type":"article","venue":"Health Education & Behavior","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":131,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"National Medical Research Council; National Health and Medical Research Council; Canadian Institutes of Health Research","keywords":"Psychological intervention; Odds ratio; Demography; Odds; Psychology; Physical activity; Medicine; Developmental psychology; Physical therapy; Logistic regression; Psychiatry","score_opus":0.08476714471617448,"score_gpt":0.41006211247468627,"score_spread":0.3252949677585118,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2170765612","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99448,0.000050044702,0.000012549355,0.00070531544,0.0005066042,0.00049182645,0.000006537056,0.000093889925,0.0036532125],"genre_scores_gemma":[0.9984854,0.0000104868595,0.00041535622,0.00021668115,0.00041504472,0.00010228004,0.00001236484,0.000008228915,0.00033416424],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99898124,0.00020027166,0.000120563294,0.000219643,0.00020129622,0.0002770043],"domain_scores_gemma":[0.9993616,0.000023394585,0.00011494382,0.00018226846,0.0000653599,0.00025248007],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044170138,0.000077312245,0.00012310273,0.00004368828,0.00056133623,0.00002546935,0.00014460729,0.000048096117,0.00037797072],"category_scores_gemma":[0.000031826494,0.000078975645,0.000051777253,0.00018700119,0.00013156525,0.0003175132,0.000007759879,0.00013645725,0.00004231252],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008259754,0.0015497489,0.8641368,0.0000043277737,9.657803e-7,9.105392e-8,0.014704492,2.7794316e-9,0.000018443056,0.00062818115,0.00017834161,0.11877031],"study_design_scores_gemma":[0.000053418662,0.000018514345,0.9977521,0.000009353816,0.000012985311,3.4305756e-7,0.00079345016,2.0218748e-7,0.00008996959,0.000108861816,0.0010812173,0.000079616184],"about_ca_topic_score_codex":0.083620064,"about_ca_topic_score_gemma":0.0026300177,"teacher_disagreement_score":0.13361523,"about_ca_system_score_codex":0.00019861176,"about_ca_system_score_gemma":0.0017633581,"threshold_uncertainty_score":0.9224822},"labels":[],"label_agreement":null},{"id":"W2170819656","doi":"10.1123/japa.18.3.280","title":"Personal Factors, Perceived Environment, and Objectively Measured Walking in Old Age","year":2010,"lang":"en","type":"article","venue":"Journal of Aging and Physical Activity","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Canada Research Chairs; Manitoba Health Research Council","keywords":"Walkability; Psychology; Univariate; Association (psychology); Physical activity; Demography; Built environment; Gerontology; Medicine; Physical therapy; Multivariate statistics; Statistics","score_opus":0.023697791575315836,"score_gpt":0.28093517028678777,"score_spread":0.25723737871147195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2170819656","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99934626,0.000022540387,0.000016954335,0.00021405226,0.00007481738,0.000041015686,0.000002608209,0.0000053317012,0.00027642318],"genre_scores_gemma":[0.99961984,0.000019332807,0.000042436564,0.000008967458,0.00025674765,3.2061436e-7,1.9076086e-7,0.0000038806083,0.00004829145],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99926555,0.000102549966,0.00009007022,0.00013227527,0.00025559176,0.00015395298],"domain_scores_gemma":[0.9995776,0.0001332723,0.0001113518,0.000038402635,0.000018666396,0.000120747245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045197314,0.00008419584,0.00020815598,0.000040213978,0.0001955155,0.00006142035,0.000069464135,0.000048275902,0.0000140360025],"category_scores_gemma":[0.00005020019,0.00006583983,0.000066515844,0.000058606125,0.0002464981,0.0004414082,0.00001310901,0.0005306095,1.9770809e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000296748,0.0002556889,0.89724964,0.000009784944,0.000014978268,0.000012553549,0.037299592,4.7675556e-7,0.050554268,0.000039170463,0.0000016078993,0.014532551],"study_design_scores_gemma":[0.00023419577,0.000027716831,0.9971141,0.000018234323,0.000016490209,8.3056614e-7,0.0009158122,0.00004270163,0.00057717826,0.00088752946,0.00008613387,0.000079038495],"about_ca_topic_score_codex":0.0014074793,"about_ca_topic_score_gemma":0.0007215234,"teacher_disagreement_score":0.09986449,"about_ca_system_score_codex":0.000030069268,"about_ca_system_score_gemma":0.00003652961,"threshold_uncertainty_score":0.268487},"labels":[],"label_agreement":null},{"id":"W2171021224","doi":"10.1016/j.jtrangeo.2009.09.013","title":"Distance traveled in three Canadian cities: Spatial analysis from the perspective of vulnerable population segments","year":2009,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":193,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto; McMaster University; Polytechnique Montréal","funders":"","keywords":"Perspective (graphical); Geography; Mainstream; Population; Travel behavior; Economic geography; Regional science; Sociology; Transport engineering; Demography; Computer science; Political science; Engineering","score_opus":0.010229409556588286,"score_gpt":0.26133360957693336,"score_spread":0.25110420002034506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171021224","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99518514,0.00048262483,0.0017275104,0.0010315247,0.00012117607,0.00014454406,0.000090951544,0.000004779785,0.0012117799],"genre_scores_gemma":[0.9995189,0.00006830498,0.00016596944,0.00008284677,0.00012738888,9.126381e-7,0.000022935437,0.0000036215918,0.000009168323],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99835396,0.000099076125,0.0006013815,0.00015620596,0.00053480256,0.00025458],"domain_scores_gemma":[0.9990714,0.000063204796,0.00034763437,0.00014834573,0.0002216488,0.00014771869],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090357615,0.000109769324,0.00037838082,0.00043383,0.00025221458,0.000024349509,0.00035902523,0.00008521102,0.00023209682],"category_scores_gemma":[0.0000185781,0.00008338524,0.0004838528,0.0014759189,0.0001440941,0.00031884937,7.9053297e-7,0.0002875737,1.4011182e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007653522,0.000075115655,0.991021,0.0000017320964,0.00019664216,0.000013983375,0.007286084,0.00028280192,0.000008246046,0.00029181826,0.0000049702458,0.0007410973],"study_design_scores_gemma":[0.00036500132,0.000042365646,0.9829796,0.000030442834,0.00035935044,6.081914e-8,0.002860987,0.000020016278,0.000011191216,0.013150355,0.0000922896,0.000088317516],"about_ca_topic_score_codex":0.8414761,"about_ca_topic_score_gemma":0.97702247,"teacher_disagreement_score":0.13554636,"about_ca_system_score_codex":0.00013384527,"about_ca_system_score_gemma":0.00022719699,"threshold_uncertainty_score":0.34003514},"labels":[],"label_agreement":null},{"id":"W2171054446","doi":"","title":"Rural Travel Around an Urban Area: Completing the Picture of Travel","year":2012,"lang":"en","type":"article","venue":"2012 CONFERENCE AND EXHIBITION OF THE TRANSPORTATION ASSOCIATION OF CANADA - TRANSPORTATION: INNOVATIONS AND OPPORTUNITIES","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Interurban; Geography; Rural area; Travel behavior; Capital city; Regional science; Economic geography; Transport engineering; Political science; Engineering","score_opus":0.05115944200923886,"score_gpt":0.25980690095772785,"score_spread":0.208647458948489,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171054446","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99212945,0.00016717326,0.0011410562,0.0035903386,0.00022479355,0.00034313663,0.0010262964,0.000012606685,0.0013651574],"genre_scores_gemma":[0.998188,0.0001470084,0.00008955825,0.00023837118,0.000081104154,0.000018368753,0.00054458115,0.000010039697,0.0006829441],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978393,0.00013483,0.0008998341,0.00013794134,0.0007163711,0.00027173207],"domain_scores_gemma":[0.997572,0.00017489659,0.0010214349,0.00016577405,0.0009544412,0.000111436784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093755417,0.00017122267,0.00033085042,0.00009391424,0.00060709723,0.000029543466,0.00017871495,0.00013488106,0.00022323804],"category_scores_gemma":[0.00003243601,0.00013419408,0.00007753746,0.00036519347,0.00044889018,0.0009196045,0.0000017383703,0.00017278847,4.4713186e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040762978,0.00011733019,0.67826194,0.00015110998,0.00008273209,2.8520617e-7,0.033690404,0.000027923094,0.00093773525,0.28542787,0.0005873573,0.00067454827],"study_design_scores_gemma":[0.00038635003,0.000026295365,0.9287713,0.000085242995,0.00013840703,1.445745e-7,0.0668472,0.000030256564,0.00066824513,0.0013796436,0.0015119456,0.00015493778],"about_ca_topic_score_codex":0.037815746,"about_ca_topic_score_gemma":0.37131444,"teacher_disagreement_score":0.33349872,"about_ca_system_score_codex":0.000060865197,"about_ca_system_score_gemma":0.0008022649,"threshold_uncertainty_score":0.9685915},"labels":[],"label_agreement":null},{"id":"W2171075871","doi":"10.1186/1471-2458-12-74","title":"A multilevel examination of gender differences in the association between features of the school environment and physical activity among a sample of grades 9 to 12 students in Ontario, Canada","year":2012,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta; Impact; University of Waterloo","funders":"University of Waterloo; Cancer Care Ontario","keywords":"Biostatistics; Medicine; Public health; Sample (material); Association (psychology); Epidemiology; Physical activity; Environmental health; Multilevel model; Demography; Gerontology; Psychology; Statistics; Physical therapy","score_opus":0.08320957861886301,"score_gpt":0.32448635276354926,"score_spread":0.24127677414468623,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171075871","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99904823,0.00001210639,0.000035719167,0.00034565775,0.000024272947,0.00044142644,0.0000297418,0.0000012374549,0.0000615873],"genre_scores_gemma":[0.999873,0.0000022193587,0.000032871765,0.0000223244,0.000023232924,0.000015229013,0.0000028787906,0.000001576001,0.00002667247],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982062,0.0006222936,0.0001828872,0.00009896885,0.000676691,0.00021294403],"domain_scores_gemma":[0.9991346,0.00043994753,0.00022856328,0.00009729658,0.00001703621,0.00008254443],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002306065,0.000053197695,0.00018170843,0.000036557034,0.00007718003,0.0000131536535,0.00021427148,0.000038378734,0.00000841294],"category_scores_gemma":[0.00030727702,0.000033973287,0.000021155567,0.00013811888,0.00006506534,0.00019902505,0.000028606033,0.00013183347,2.1438431e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000019038263,0.00022502174,0.9578933,0.000021780861,0.0000051483125,6.3246888e-9,0.04050667,3.9260195e-7,0.0000041985504,0.00005579752,0.000008273541,0.0012775209],"study_design_scores_gemma":[0.00013275199,0.000012136157,0.9966141,0.000009853521,0.000003816457,2.3830626e-9,0.003104288,0.0000020258178,0.000015882491,0.00004997344,0.000025357442,0.000029800747],"about_ca_topic_score_codex":0.981948,"about_ca_topic_score_gemma":0.99648136,"teacher_disagreement_score":0.038720824,"about_ca_system_score_codex":0.00077573967,"about_ca_system_score_gemma":0.0008326954,"threshold_uncertainty_score":0.20285323},"labels":[],"label_agreement":null},{"id":"W2171880468","doi":"10.1080/00420980601023885","title":"Elderly Mobility: Demographic and Spatial Analysis of Trip Making in the Hamilton CMA, Canada","year":2007,"lang":"en","type":"article","venue":"Urban Studies","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":209,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"","keywords":"Metropolitan area; Regional science; Probit model; Economic geography; Homogeneous; Geography; Econometrics; Economics; Mathematics","score_opus":0.032393031166266455,"score_gpt":0.3215994569460261,"score_spread":0.28920642577975963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171880468","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9922655,0.0055595906,0.00007591239,0.00023975545,0.00009037687,0.00017033203,0.000009175547,0.000009266769,0.0015800612],"genre_scores_gemma":[0.99964744,0.000117487536,0.000019151945,0.00010157833,0.000051343515,0.000005193912,0.0000017689999,0.0000023737305,0.000053678366],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99875104,0.000107460015,0.0003146121,0.00020480061,0.00037338823,0.00024868638],"domain_scores_gemma":[0.9991751,0.00045530783,0.00010072463,0.00015781588,0.00008292165,0.000028143657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017857125,0.000088848145,0.0003101233,0.00016383428,0.00028599377,0.00001643935,0.00017587606,0.000040306626,0.000010896144],"category_scores_gemma":[0.0001164541,0.00006301246,0.00007795486,0.0014214664,0.0004639716,0.000066019515,0.000014127084,0.00009852914,4.9805067e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015102837,0.000031848896,0.968859,0.000015072934,0.00022715461,0.0000065953896,0.025767298,0.0000020270938,0.000002884296,0.0001699807,0.00013487661,0.00476815],"study_design_scores_gemma":[0.000103295715,0.000018456712,0.97584045,0.000010626108,0.0002783032,2.261767e-8,0.021321587,0.000011376005,0.00000797956,0.00033358586,0.0020030634,0.000071248396],"about_ca_topic_score_codex":0.7509536,"about_ca_topic_score_gemma":0.99848545,"teacher_disagreement_score":0.24753186,"about_ca_system_score_codex":0.000065743894,"about_ca_system_score_gemma":0.00009640819,"threshold_uncertainty_score":0.25695738},"labels":[],"label_agreement":null},{"id":"W2172053235","doi":"10.17269/cjph.105.4525","title":"A public health dilemma: Urban bicycle-sharing schemes","year":2014,"lang":"en","type":"letter","venue":"Canadian Journal of Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Dilemma; Public health; Business; Computer science; Environmental planning; Geography; Medicine; Mathematics","score_opus":0.1756098049503554,"score_gpt":0.3380770898437354,"score_spread":0.16246728489338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2172053235","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008308034,0.0035814117,0.00066247577,0.98116875,0.0021808383,0.00043363892,0.0001361048,0.000046799592,0.0034819208],"genre_scores_gemma":[0.2839699,0.00016275787,0.0003112818,0.6979469,0.015183274,0.000008833921,0.00020915951,0.00009063176,0.0021172538],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9910328,0.001426459,0.0019383176,0.00063645333,0.0012851495,0.003680829],"domain_scores_gemma":[0.9880716,0.00020649923,0.002363861,0.00067911955,0.0009673892,0.0077115363],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0150586665,0.00045759982,0.001343371,0.0016395882,0.002056214,0.0014470774,0.0023932708,0.0008264846,0.0012470689],"category_scores_gemma":[0.0015974661,0.00044625247,0.0004754707,0.0011945587,0.0007570083,0.0012786115,0.000028278422,0.003907675,0.00003646075],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[5.137846e-7,0.000018001821,0.153345,0.00022332421,0.000063285646,0.00012713259,0.0047237114,1.0323071e-7,2.074185e-8,0.0011914815,0.828517,0.011790435],"study_design_scores_gemma":[0.00027414953,0.000117306445,0.013996187,0.00020203736,0.000009282381,0.000015969874,0.00052243506,0.0000031130648,3.8109178e-8,0.00055971195,0.98397243,0.0003273391],"about_ca_topic_score_codex":0.29655355,"about_ca_topic_score_gemma":0.5260026,"teacher_disagreement_score":0.2832219,"about_ca_system_score_codex":0.00487756,"about_ca_system_score_gemma":0.10505868,"threshold_uncertainty_score":0.9997989},"labels":[],"label_agreement":null},{"id":"W2173378242","doi":"10.1289/ehp.1510425","title":"Moving to a Highly Walkable Neighborhood and Incidence of Hypertension: A Propensity-Score Matched Cohort Study","year":2015,"lang":"en","type":"article","venue":"Environmental Health Perspectives","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":77,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Health Sciences Centre; Sunnybrook Hospital; University of Toronto; Sunnybrook Health Science Centre; Institute for Clinical Evaluative Sciences","funders":"Canadian Institutes of Health Research","keywords":"Walkability; Propensity score matching; Medicine; Hazard ratio; Incidence (geometry); Cohort; Cohort study; Population; Demography; Proportional hazards model; Poison control; Environmental health; Physical therapy; Internal medicine; Confidence interval; Physical activity","score_opus":0.05440559757321762,"score_gpt":0.30249686724268454,"score_spread":0.24809126966946693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2173378242","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99508536,0.0008635597,0.000031504354,0.0015470079,0.000074844684,0.0015612311,0.000008517475,0.00003712198,0.00079088344],"genre_scores_gemma":[0.9990776,0.00007739447,0.00029380998,0.00018780857,0.00006974761,0.00003414535,0.0000019600732,0.000011536167,0.00024600062],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981586,0.00021862781,0.00028167974,0.00047792177,0.0005435403,0.00031963937],"domain_scores_gemma":[0.999167,0.000040579263,0.00011716915,0.00022668624,0.000027785969,0.00042076682],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010703647,0.00013427823,0.00036623218,0.000055746605,0.00036788193,0.000026556105,0.00016767182,0.000045944653,0.000059683614],"category_scores_gemma":[0.00006339707,0.000121853554,0.000031081985,0.00017667541,0.0003220766,0.00031953974,0.00009884875,0.0001300599,0.000012256615],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005933559,0.00062946527,0.8918088,0.000011720782,0.000012419147,0.0000082241,0.1067959,0.000002508873,0.00012367762,0.00008179866,0.000047640384,0.00041851902],"study_design_scores_gemma":[0.00038394603,0.00046073474,0.8535999,0.0000220635,0.000011769479,9.402201e-7,0.1450957,0.0000070667998,0.000032993845,0.00019865224,0.00007484136,0.0001113498],"about_ca_topic_score_codex":0.012500155,"about_ca_topic_score_gemma":0.0030403184,"teacher_disagreement_score":0.03829981,"about_ca_system_score_codex":0.00047223194,"about_ca_system_score_gemma":0.00019834658,"threshold_uncertainty_score":0.9940757},"labels":[],"label_agreement":null},{"id":"W2174367756","doi":"10.4278/0890-1171-21.2.110","title":"Integrating the Perceived Neighborhood Environment and the Theory of Planned Behavior When Predicting Walking in a Canadian Adult Sample","year":2006,"lang":"en","type":"article","venue":"American Journal of Health Promotion","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":132,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Theory of planned behavior; Recreation; Psychology; Structural equation modeling; Sample (material); Social psychology; Affect (linguistics); Applied psychology; Control (management); Computer science; Ecology","score_opus":0.014821845536726554,"score_gpt":0.2800868003529563,"score_spread":0.26526495481622975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2174367756","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9927459,0.00017141536,0.00062697363,0.00582919,0.00005062994,0.00039810984,0.0000075351727,0.0000031808638,0.00016707342],"genre_scores_gemma":[0.9993033,0.000053573694,0.00040080116,0.00012927131,0.000089669455,0.000011793585,0.0000023280527,0.000004610354,0.0000046790374],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977799,0.001095005,0.0005416345,0.00008824125,0.00023727406,0.00025790994],"domain_scores_gemma":[0.99874765,0.00033360915,0.0007085469,0.00007389347,0.00005171704,0.000084614265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004529468,0.000064863845,0.00021647837,0.00006611322,0.00044177152,0.00002393308,0.00015577684,0.00002187463,0.000028343742],"category_scores_gemma":[0.00020832542,0.00003700291,0.00004543784,0.000118740434,0.0005521121,0.00013812071,0.0000066616053,0.00024583677,1.0182595e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036579804,0.000048050868,0.8860763,0.0000068456247,0.00000429776,0.0000010342294,0.030825168,0.0000052139644,0.000008967581,0.0011077513,0.0000029322412,0.081876874],"study_design_scores_gemma":[0.00037018,0.00027596744,0.9562946,0.00010410226,0.000018250279,0.0000020131838,0.037766527,0.0000874417,0.000002822606,0.004997215,0.00004188271,0.00003897675],"about_ca_topic_score_codex":0.64356977,"about_ca_topic_score_gemma":0.50123036,"teacher_disagreement_score":0.14233941,"about_ca_system_score_codex":0.00022614318,"about_ca_system_score_gemma":0.00042157536,"threshold_uncertainty_score":0.5078709},"labels":[],"label_agreement":null},{"id":"W2174374875","doi":"10.5198/jtlu.2015.782","title":"School travel route measurement and built environment effects in models of children’s school travel behavior","year":2015,"lang":"en","type":"article","venue":"Journal of Transport and Land Use","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research; Public Health Agency; Public Health Agency of Canada; Heart and Stroke Foundation of Canada","keywords":"Travel behavior; Built environment; Respondent; TRIPS architecture; Conceptualization; Mode choice; Transport engineering; Psychology; Applied psychology; Computer science; Engineering; Public transport","score_opus":0.04989097306719227,"score_gpt":0.26764319676133924,"score_spread":0.21775222369414698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2174374875","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99710345,0.0015830221,0.00059818174,0.0001132835,0.00008510598,0.00033157234,0.00002088975,0.0000039144657,0.00016058663],"genre_scores_gemma":[0.998861,0.0005986617,0.0003538138,0.000028334574,0.00009125079,0.0000053595973,0.0000032353753,0.000009387154,0.000048936512],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99823654,0.00007109469,0.00056689937,0.00017608042,0.0007243356,0.00022503737],"domain_scores_gemma":[0.9990606,0.000022472832,0.00021845696,0.000107088585,0.000088549656,0.0005028778],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013042832,0.00015098043,0.00042039168,0.0001190356,0.0000704673,0.00003369791,0.00014836252,0.00011890427,0.000027442751],"category_scores_gemma":[0.000027565573,0.000117330484,0.000100976366,0.00008249044,0.00014169185,0.0006854142,0.0000049721057,0.00026398248,3.7378348e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017300749,0.00028661615,0.9961977,0.000028301733,0.00003585164,0.00003729239,0.0023013304,0.000050240345,0.0002536558,0.000032624957,0.000015128898,0.0005882291],"study_design_scores_gemma":[0.0024379261,0.00015593138,0.99593127,0.00010922098,0.00019816833,0.0000043311575,0.0002851792,0.000012880288,0.00022844101,0.00044758696,0.000059027258,0.00013006257],"about_ca_topic_score_codex":0.0038501516,"about_ca_topic_score_gemma":0.004141018,"teacher_disagreement_score":0.0022649188,"about_ca_system_score_codex":0.00009270946,"about_ca_system_score_gemma":0.00025501513,"threshold_uncertainty_score":0.5820303},"labels":[],"label_agreement":null},{"id":"W2174939969","doi":"10.1061/9780784479377.049","title":"Measuring Quality of Life from the Perspective of Neighborhood Accessibility","year":2015,"lang":"en","type":"article","venue":"ICCREM 2015","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta; Alberta Environment and Protected Areas","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sustainable development; Perspective (graphical); Quality of life (healthcare); Urban planning; Quality (philosophy); Environmental planning; Field (mathematics); Land use; Computer science; Business; Regional science; Environmental economics; Geography; Engineering; Psychology; Civil engineering; Political science; Economics; Artificial intelligence","score_opus":0.1808541126754221,"score_gpt":0.385188185633192,"score_spread":0.20433407295776992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2174939969","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9579275,0.0014271354,0.0002332033,0.0014032183,0.0002586026,0.00023675495,0.00007939621,0.000038845614,0.038395334],"genre_scores_gemma":[0.9994555,0.000008587067,0.00012463865,0.000056564008,0.00026342276,0.0000038066482,0.000004371916,0.000006680168,0.000076436765],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997595,0.00056362146,0.00050271366,0.0002945557,0.00082989753,0.000214175],"domain_scores_gemma":[0.9976476,0.00039492955,0.00037037613,0.00053003116,0.0008457334,0.00021135804],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033998187,0.00010872592,0.000343958,0.000021426138,0.0001288889,0.000030479481,0.00071260385,0.00010247399,0.00016593779],"category_scores_gemma":[0.0023799203,0.000076637145,0.00013897821,0.0003165336,0.0006306354,0.00038127592,0.000060590217,0.00015177699,0.000008758998],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011837965,0.00014702212,0.9699155,0.000009324749,0.000038160095,2.0760442e-7,0.02327298,0.0000023183184,0.0002069784,0.005494845,0.000490511,0.00030375572],"study_design_scores_gemma":[0.00046796558,0.000019596415,0.9213557,0.00001658981,0.000026800164,7.1586337e-9,0.027278014,0.0000087808585,0.00077857595,0.04960015,0.0003396628,0.00010811052],"about_ca_topic_score_codex":0.0813366,"about_ca_topic_score_gemma":0.017131109,"teacher_disagreement_score":0.0642055,"about_ca_system_score_codex":0.000137498,"about_ca_system_score_gemma":0.0009261134,"threshold_uncertainty_score":0.95595604},"labels":[],"label_agreement":null},{"id":"W2175042279","doi":"10.1007/s11116-015-9667-1","title":"An activity-based approach of investigating travel behaviour of older people","year":2015,"lang":"en","type":"article","venue":"Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto; Ontario Ministry of Economic Development and Innovation","keywords":"Travel behavior; Older people; Time-use survey; Travel survey; Scheduling (production processes); Discrete choice; Econometric model; Demographic economics; Economics; Econometrics; Public economics; Microeconomics; Gerontology; Operations management; Engineering; Medicine; Space time","score_opus":0.054907043221942765,"score_gpt":0.3244323724753358,"score_spread":0.269525329253393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2175042279","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9769753,0.000010313793,0.021755124,0.000042273212,0.00004293924,0.00021830795,0.000039159047,0.000030797524,0.0008857752],"genre_scores_gemma":[0.99629086,4.1905756e-7,0.0034953896,0.000009989135,0.000025215093,0.000009904762,0.00014004897,0.000008109656,0.000020059097],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989616,0.000077559904,0.00026350332,0.00016909772,0.0003961512,0.00013206911],"domain_scores_gemma":[0.99935246,0.000023107717,0.0001908202,0.00013353175,0.00016947537,0.00013059966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056357426,0.000075808595,0.00018507482,0.000053314034,0.00006505509,0.000007819765,0.00014079265,0.0000858695,0.000028333232],"category_scores_gemma":[0.000012793573,0.00007762566,0.000059787482,0.00032076897,0.00018018855,0.00037084197,3.3764192e-7,0.00007308925,3.3623755e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021885387,0.00031952778,0.94807565,0.00006652898,0.0000036910799,2.4612166e-7,0.046420503,0.0003680996,0.00351371,0.000819593,0.000004241241,0.00038632448],"study_design_scores_gemma":[0.00042359688,0.00004774907,0.980539,0.000015287716,0.000044020744,7.465495e-9,0.0047639734,0.0004330978,0.013383863,0.00026389337,0.0000025598329,0.00008293406],"about_ca_topic_score_codex":0.010723008,"about_ca_topic_score_gemma":0.011873095,"teacher_disagreement_score":0.04165653,"about_ca_system_score_codex":0.0000190672,"about_ca_system_score_gemma":0.0003072309,"threshold_uncertainty_score":0.9958647},"labels":[],"label_agreement":null},{"id":"W2175156412","doi":"10.17411/jacces.v5i2.105","title":"Understanding the barriers: Grocery stores and visually impaired shoppers","year":2015,"lang":"en","type":"article","venue":"RACO (Revistes Catalanes amb Accés Obert) (Consorci de Serveis Universitaris de Catalunya)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ontario College of Art and Design","funders":"","keywords":"Legislation; Business; Grocery store; Advertising; Marketing; Visually impaired; Internet privacy; Computer science; Human–computer interaction; Political science","score_opus":0.08188648514788008,"score_gpt":0.2917640323744395,"score_spread":0.2098775472265594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2175156412","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9853368,0.0036338933,0.00047789665,0.003521869,0.00023891254,0.00061287347,0.0001168818,0.00028134912,0.0057795346],"genre_scores_gemma":[0.9969114,0.00042461875,0.00013017043,0.00048643004,0.0002232815,0.000008954243,0.00017765047,0.00004540025,0.0015920852],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9968366,0.00044670943,0.00039664263,0.00069243886,0.0006139707,0.0010136131],"domain_scores_gemma":[0.9973108,0.0005273854,0.000252709,0.000605706,0.00021673899,0.0010866201],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0018059546,0.00042138234,0.00047918753,0.00020973323,0.0015230683,0.00041749384,0.001104342,0.0003295379,0.0001993596],"category_scores_gemma":[0.00049696834,0.00037804962,0.00023001897,0.0007292402,0.0012993806,0.0014579396,0.00022260676,0.00045004138,0.00002258651],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025280425,0.00007785587,0.9360763,0.00016361805,0.00023043157,0.00018548018,0.045232646,0.000093417126,0.00018535281,0.0066594784,0.010341614,0.00050102704],"study_design_scores_gemma":[0.0041017686,0.00039420417,0.2878519,0.0004165815,0.0013532371,0.00010377544,0.6267548,0.0016992928,0.00034295005,0.004954822,0.069412276,0.0026144048],"about_ca_topic_score_codex":0.01036055,"about_ca_topic_score_gemma":0.012583228,"teacher_disagreement_score":0.64822435,"about_ca_system_score_codex":0.0016728574,"about_ca_system_score_gemma":0.0013692083,"threshold_uncertainty_score":0.99986714},"labels":[],"label_agreement":null},{"id":"W2175190695","doi":"10.1139/cjce-2015-0065","title":"Development of a cycling data model: City of Vancouver case study","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of British Columbia; British Columbia Institute of Technology","funders":"","keywords":"Computer science; Cycling; Visualization; Volume (thermodynamics); Estimation; Quality (philosophy); Data quality; Data mining; Data collection; Data visualization; Transport engineering; Operations research; Statistics; Engineering; Operations management; Geography; Mathematics; Systems engineering","score_opus":0.10034886393320022,"score_gpt":0.30460775303005705,"score_spread":0.20425888909685683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2175190695","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9880396,0.00017445527,0.010672997,0.00000989911,0.00034790236,0.00007638186,0.0000119358165,0.000004306265,0.0006625228],"genre_scores_gemma":[0.99667424,8.518242e-7,0.0032272667,0.0000028639777,0.00006731825,3.818273e-7,6.8088224e-7,0.0000069073403,0.000019513187],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9989643,0.000017427357,0.00047326004,0.00008792822,0.00026805943,0.00018904216],"domain_scores_gemma":[0.99887395,0.000025494079,0.000177414,0.00018628708,0.00023183752,0.00050502445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015263282,0.000069403264,0.00021527521,0.00015758949,0.00006968406,0.000014274985,0.00040846536,0.00003763462,0.000028486673],"category_scores_gemma":[0.00020906657,0.00006873539,0.000032709922,0.00020036836,0.00004402384,0.00035280254,0.000015988095,0.0001299937,1.0308332e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023772624,0.00019886006,0.645043,0.00013141398,0.00026479925,0.0022162506,0.21078524,0.13699917,0.0001376626,0.00007952485,0.0012720791,0.002848201],"study_design_scores_gemma":[0.013417008,0.00082948914,0.13504925,0.0026411328,0.0014953148,0.00038153215,0.53139806,0.24710569,0.0022852002,0.0017488529,0.059593994,0.004054489],"about_ca_topic_score_codex":0.022915017,"about_ca_topic_score_gemma":0.961352,"teacher_disagreement_score":0.938437,"about_ca_system_score_codex":0.00014559661,"about_ca_system_score_gemma":0.003297965,"threshold_uncertainty_score":0.9835915},"labels":[],"label_agreement":null},{"id":"W2176614957","doi":"10.5198/jtlu.2015.537","title":"Past and Present of Active School Transportation: An Exploration of the Built Environment Effects in Toronto, Canada from 1986 to 2006","year":2015,"lang":"en","type":"article","venue":"Journal of Transport and Land Use","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto; Toronto Metropolitan University","funders":"University of Toronto","keywords":"Context (archaeology); Odds; Built environment; Travel behavior; Psychological intervention; Demographic economics; Geography; Cycling; Poison control; Nested logit; Demography; Logistic regression; Psychology; Transport engineering; Environmental health; Sociology; Medicine; Economics; Engineering; Econometrics","score_opus":0.029878065157835733,"score_gpt":0.2743492523162338,"score_spread":0.24447118715839808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2176614957","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986963,0.00037228604,0.00012792245,0.0003688376,0.00010555328,0.00019154699,0.00008877465,0.0000011491722,0.000047609192],"genre_scores_gemma":[0.99961406,0.000105173254,0.0001234849,0.000025717321,0.00009240253,0.0000021842561,0.000008363969,0.0000034446277,0.000025187355],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99905413,0.000059324382,0.00033474906,0.00009366947,0.00036695445,0.00009114259],"domain_scores_gemma":[0.99944335,0.000041075968,0.00017773989,0.00007973241,0.000059518276,0.00019860512],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024441775,0.00007106416,0.0002060795,0.00001999451,0.000040614737,0.000008884146,0.000100728714,0.000044044104,0.000028536115],"category_scores_gemma":[0.00000982289,0.00004824268,0.00003361363,0.00005661512,0.000061455365,0.00092693965,0.0000016094141,0.00007841533,2.1845759e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025670556,0.00008138976,0.98756886,0.000015561003,0.000017684397,0.000008252468,0.010942296,0.00016331894,0.00013134233,0.00001342584,0.000038986396,0.0007621967],"study_design_scores_gemma":[0.00068096956,0.000093147086,0.9940981,0.000055654018,0.00005260479,9.585359e-8,0.0027322115,0.000002939534,0.0005164079,0.00017866651,0.0015333665,0.0000558195],"about_ca_topic_score_codex":0.7716891,"about_ca_topic_score_gemma":0.97348523,"teacher_disagreement_score":0.2017961,"about_ca_system_score_codex":0.00008281342,"about_ca_system_score_gemma":0.00025916527,"threshold_uncertainty_score":0.22983122},"labels":[],"label_agreement":null},{"id":"W2179267303","doi":"10.1002/atr.1354","title":"The impact of transport pricing policy on individual energy consumption: a modeling case study in Kumamoto","year":2015,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Energy consumption; Consumption (sociology); Transport policy; Transport engineering; Economics; Environmental economics; Business; Environmental science; Public transport; Engineering; Sociology","score_opus":0.0672856230611561,"score_gpt":0.39074706846944685,"score_spread":0.32346144540829075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2179267303","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981861,0.00020782708,0.0010233569,0.00007734133,0.00013332198,0.00023708663,0.000011598656,0.000009624951,0.00011371765],"genre_scores_gemma":[0.9995575,0.00009597386,0.0001714584,0.000009646111,0.00013587228,0.000005432719,0.000005372653,0.000010071066,0.000008654857],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979148,0.00013014891,0.00091933424,0.00013835222,0.0006668521,0.00023054556],"domain_scores_gemma":[0.9987526,0.00011016686,0.00049961277,0.0001199327,0.00035673613,0.00016095165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014346618,0.00012952481,0.0002904782,0.00024608153,0.0001818823,0.000021223052,0.00020787034,0.00006457823,0.0000073011665],"category_scores_gemma":[0.000053828804,0.00009135181,0.00017661102,0.0004973518,0.00010188572,0.00064037915,9.288477e-7,0.0002220684,1.7403345e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006096127,0.00043482517,0.66239756,0.00000779357,0.00005618892,0.00047262135,0.061626986,0.26886988,0.000031859836,0.00027601165,0.0000015426043,0.0052151317],"study_design_scores_gemma":[0.003206397,0.00096695684,0.93950355,0.00009937137,0.000076646065,0.00001738722,0.053903013,0.00024433187,0.000043533637,0.0017474461,0.000027358446,0.00016398696],"about_ca_topic_score_codex":0.0134235555,"about_ca_topic_score_gemma":0.042295452,"teacher_disagreement_score":0.27710602,"about_ca_system_score_codex":0.0002193024,"about_ca_system_score_gemma":0.00094126596,"threshold_uncertainty_score":0.9931461},"labels":[],"label_agreement":null},{"id":"W218013463","doi":"","title":"Age and Its Relation with Home Location, Household Structure, and Travel Behavior: 15 Years of Observation","year":2008,"lang":"en","type":"article","venue":"Transportation Research Board 87th Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Population; Workforce; Baby boom; Scale (ratio); Travel behavior; Descriptive statistics; Boom; Demographic economics; Age structure; Geography; Demography; Business; Economics; Economic growth; Transport engineering; Sociology; Engineering; Statistics; Mathematics","score_opus":0.0988123739211161,"score_gpt":0.36288941166984867,"score_spread":0.2640770377487326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W218013463","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995828,0.0006376032,0.00019350402,0.0004402025,0.00007007573,0.0020118814,0.0004724206,0.000121185796,0.00022517733],"genre_scores_gemma":[0.9960592,0.001193851,0.001243668,0.000028166354,0.000115913805,0.00018755453,0.0005534567,0.00006540566,0.00055281963],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9922638,0.00084364216,0.0010420403,0.00096980535,0.0038330853,0.0010476371],"domain_scores_gemma":[0.99464446,0.00071431446,0.00028480813,0.00037322455,0.0033747805,0.00060842925],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0034940029,0.0003084774,0.00053573976,0.0009319914,0.0014716625,0.000111057125,0.00042391967,0.00039720387,0.00009871682],"category_scores_gemma":[0.00029237705,0.00032240438,0.00008190119,0.0027486705,0.0023723873,0.001620901,0.000008819756,0.0011310439,0.0000048390048],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006274482,0.00021954736,0.94911623,0.00037183386,0.000047048467,0.00019137649,0.0399334,0.00017456242,0.002029276,0.005917365,0.00015287662,0.001219029],"study_design_scores_gemma":[0.0012897713,0.0003595084,0.9880615,0.0001654009,0.000055237328,5.233551e-7,0.0072914716,0.000030822288,0.00079960574,0.00083859015,0.00077041396,0.00033717204],"about_ca_topic_score_codex":0.01758181,"about_ca_topic_score_gemma":0.044742573,"teacher_disagreement_score":0.038945246,"about_ca_system_score_codex":0.0001293361,"about_ca_system_score_gemma":0.0008422021,"threshold_uncertainty_score":0.9999228},"labels":[],"label_agreement":null},{"id":"W2182183940","doi":"10.1123/jpah.7.s3.s341","title":"Methods for Researching the Physical Activity Impacts of ‘Natural Experiments’ in Modifying the Built Environment","year":2010,"lang":"en","type":"article","venue":"Journal of Physical Activity and Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Health and Medical Research Council; Economic and Social Research Council; Engineering and Physical Sciences Research Council; National Institutes of Health; Western Health Foundation; Medical Research Council; Helsedirektoratet; Universität Zürich; Government of Ontario; Healthway; Australian Research Council; Sveučilište u Zagrebu","keywords":"Counterfactual thinking; Psychological intervention; Flexibility (engineering); Natural (archaeology); Control (management); Natural experiment; Intervention (counseling); Built environment; Quality (philosophy); Process (computing); Applied psychology; Computer science; Risk analysis (engineering); Psychology; Engineering; Social psychology; Medicine; Artificial intelligence; Geography","score_opus":0.13707594334764858,"score_gpt":0.5154331687683976,"score_spread":0.378357225420749,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2182183940","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9892814,0.00009839601,0.0012972455,0.008848239,0.000100886675,0.00032099066,0.0000037793582,0.000002735647,0.00004633725],"genre_scores_gemma":[0.9987226,0.00004021041,0.00066844333,0.000040807638,0.0005078001,0.0000060755806,1.3681999e-7,0.000005215024,0.000008719971],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9984335,0.0005844892,0.00016120929,0.0001345441,0.00037621544,0.00031007818],"domain_scores_gemma":[0.9980486,0.001283892,0.00034782212,0.00014342491,0.000035785524,0.00014047202],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037742418,0.00009315053,0.0003401529,0.000036105426,0.00053091283,0.000046197423,0.00027477366,0.000038104245,0.0000032204005],"category_scores_gemma":[0.00016232165,0.00004910337,0.0001709635,0.00011822539,0.00045426073,0.00047413397,0.000044111384,0.0009882818,1.2335981e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006626882,0.0033791012,0.019284688,0.00014600801,0.0000630282,0.0000012061503,0.06167645,0.000025776288,0.33661914,0.004228235,0.00003608873,0.5738776],"study_design_scores_gemma":[0.00073836226,0.00040829784,0.9388408,0.00004996583,0.000022232716,7.711949e-7,0.0018354625,0.0038291311,0.04065012,0.01286733,0.0006386578,0.00011886226],"about_ca_topic_score_codex":0.0037333707,"about_ca_topic_score_gemma":0.0011311533,"teacher_disagreement_score":0.91955614,"about_ca_system_score_codex":0.0000889609,"about_ca_system_score_gemma":0.0002723158,"threshold_uncertainty_score":0.5643765},"labels":[],"label_agreement":null},{"id":"W2183639677","doi":"10.1787/9789282101650-en","title":"Transport, Urban Form and Economic Growth","year":2007,"lang":"en","type":"book","venue":"ECMT round tables","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economic geography; Business; Geography","score_opus":0.016925534607660185,"score_gpt":0.2588339657444438,"score_spread":0.2419084311367836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2183639677","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025383964,0.003143598,0.00006388066,0.00012483574,0.00064916024,0.00040427578,0.00020513438,0.00013472475,0.9698904],"genre_scores_gemma":[0.17516387,0.00070042745,0.00010481506,0.00011243285,0.0016443153,0.000009990801,0.0002879314,0.000047671172,0.82192856],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980752,0.000022904733,0.0004566849,0.00057042,0.00030175934,0.0005730222],"domain_scores_gemma":[0.9991114,0.00012406494,0.00020817385,0.00025288077,0.00005306124,0.00025041538],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00074758474,0.000332498,0.0005025176,0.00013882144,0.0005770103,0.00015226047,0.00039332954,0.0005510068,0.0013121389],"category_scores_gemma":[0.000008920731,0.0003359509,0.00017388152,0.00006404429,0.0006739299,0.0006354064,0.000017690247,0.0003436929,0.000060341088],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000086617045,0.00011543338,0.5470834,0.0004840398,0.00023996971,0.00009619569,0.011006625,8.33591e-7,0.000001683726,0.35170648,0.085037634,0.0041411356],"study_design_scores_gemma":[0.0002487577,0.00002515786,0.019594884,0.0000728877,0.000109520006,5.5444764e-7,0.00020372588,8.353487e-7,0.0000068125137,0.060188677,0.9190772,0.00047099954],"about_ca_topic_score_codex":0.01127558,"about_ca_topic_score_gemma":0.11217301,"teacher_disagreement_score":0.83403957,"about_ca_system_score_codex":0.000486546,"about_ca_system_score_gemma":0.00096580014,"threshold_uncertainty_score":0.9999093},"labels":[],"label_agreement":null},{"id":"W2185726038","doi":"","title":"Hitting the roads with alternative modes; An evaluation of York Region's TDM policies","year":2014,"lang":"en","type":"article","venue":"QSpace (Queen's University Library)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Queen's University","keywords":"Computer science","score_opus":0.02644538468886038,"score_gpt":0.24680559572636654,"score_spread":0.22036021103750617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2185726038","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9281187,0.000006821762,0.000923406,0.022874737,0.00004333033,0.00027304052,0.0000048052875,0.000101015976,0.047654126],"genre_scores_gemma":[0.99173635,0.000012367537,0.00044863785,0.00009272046,0.00012929805,6.9960436e-7,0.0000098767505,0.000010039431,0.0075599835],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99813807,0.00070334855,0.00009627298,0.0002554233,0.00057941285,0.0002274757],"domain_scores_gemma":[0.9991172,0.00012616334,0.0001945556,0.00031056997,0.00014525748,0.000106250685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045572387,0.000114174036,0.00015399666,0.00009137061,0.0005942874,0.0000628729,0.0005570356,0.00007334178,0.00009940971],"category_scores_gemma":[0.000035560435,0.00008867094,0.00006331807,0.00049318356,0.0005557092,0.001698805,0.000047353606,0.00013377352,0.0000022746922],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020828385,0.00017185895,0.84804696,0.000023489503,0.000083299296,0.0000051431643,0.066113584,0.0018576386,0.0000073484593,0.07444351,0.0057618883,0.0032769884],"study_design_scores_gemma":[0.002734653,0.00051415956,0.7478754,0.00024844657,0.0006360249,1.6362118e-7,0.13170949,0.003035406,0.0043106265,0.020610316,0.0872434,0.0010819358],"about_ca_topic_score_codex":0.06376404,"about_ca_topic_score_gemma":0.0028493274,"teacher_disagreement_score":0.10017157,"about_ca_system_score_codex":0.00006923343,"about_ca_system_score_gemma":0.00027273968,"threshold_uncertainty_score":0.94247043},"labels":[],"label_agreement":null},{"id":"W2186712936","doi":"","title":"To amend City of Toronto Municipal Code Chapter 886, Footpaths, Pedestrian Ways, Bicycle Paths and Bicycle Lanes, respecting bicycle lanes on Pharmacy Avenue. The Council of the City of Toronto HEREBY ENACTS as follows: 1. Municipal Code Chapter 886, Footpaths, Pedestrian Ways, Bicycle Paths and Bicycle Lanes, is amended as follows:","year":2011,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Pedestrian; Transport engineering; Engineering","score_opus":0.13937463397929728,"score_gpt":0.3243734751302115,"score_spread":0.1849988411509142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2186712936","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9310975,0.0034775762,0.000011768674,0.00064719486,0.00052310224,0.0020216578,0.0006666411,0.00017944317,0.061375115],"genre_scores_gemma":[0.99597555,0.0009802808,0.0002993719,0.00047173936,0.00033512083,0.000081770406,0.000024021605,0.000114515795,0.0017176162],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99237776,0.00059249403,0.001802207,0.0015466335,0.0022086555,0.00147223],"domain_scores_gemma":[0.9948581,0.00069297466,0.0012465997,0.0019271313,0.0004959507,0.0007792598],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0036292237,0.0010037872,0.0015326244,0.00011896164,0.0013431603,0.00019694935,0.0019206039,0.0004814273,0.002019749],"category_scores_gemma":[0.000647811,0.0007451641,0.0005644119,0.00041610873,0.0013161101,0.0010367015,0.0005875963,0.00063963345,0.000019510606],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002839976,0.0018414104,0.74584836,0.0003922654,0.00059412257,0.00007294571,0.22172777,0.000011917476,0.011584934,0.00470882,0.00021352162,0.010163969],"study_design_scores_gemma":[0.011293502,0.003164651,0.800921,0.0011851289,0.0012768828,0.00003428299,0.075994864,0.0005165039,0.030240858,0.011712896,0.060152404,0.0035070307],"about_ca_topic_score_codex":0.72303694,"about_ca_topic_score_gemma":0.60985094,"teacher_disagreement_score":0.14573291,"about_ca_system_score_codex":0.0008097748,"about_ca_system_score_gemma":0.0008326769,"threshold_uncertainty_score":0.99995697},"labels":[],"label_agreement":null},{"id":"W2187470429","doi":"","title":"DOWNTOWN SUBURBIA? ASSESSING THE DEVELOPMENT OF A SUBURBAN MIXED-USE CENTRE","year":2014,"lang":"en","type":"article","venue":"QSpace (Queen's University Library)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Downtown; Environmental planning; Geography; Archaeology","score_opus":0.012681144256165913,"score_gpt":0.21916937254447896,"score_spread":0.20648822828831304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2187470429","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.949296,0.000008177292,0.00071729906,0.023498286,0.00016716568,0.00021874515,0.00000813984,0.00018076222,0.02590543],"genre_scores_gemma":[0.9596311,0.000011625267,0.0030998231,0.000078655954,0.0000718985,2.4570977e-7,0.00002009254,0.000013106044,0.03707349],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99825114,0.00038751977,0.00020082152,0.00033641167,0.00041605858,0.00040807464],"domain_scores_gemma":[0.9989115,0.00028600707,0.00018523753,0.0003519142,0.00007208932,0.0001932452],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029881013,0.00016663692,0.0002294891,0.00010973532,0.0009235837,0.00019329468,0.00072538696,0.00013317101,0.00063736783],"category_scores_gemma":[0.00006240489,0.00014271298,0.00012828365,0.00063288846,0.00045597972,0.0025859962,0.00013140922,0.00020341903,0.000016567656],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025083216,0.00010484902,0.9627884,0.000030292189,0.00003579261,0.000007989568,0.011597815,0.0000044565327,0.000011318978,0.00646858,0.016989717,0.0019357121],"study_design_scores_gemma":[0.00024573767,0.000009716941,0.6058096,0.000048144793,0.000036483187,1.0283469e-8,0.007915675,0.000003757333,0.0016577734,0.000253242,0.38379818,0.00022164368],"about_ca_topic_score_codex":0.011252105,"about_ca_topic_score_gemma":0.0036162552,"teacher_disagreement_score":0.36680847,"about_ca_system_score_codex":0.00008594819,"about_ca_system_score_gemma":0.0005196736,"threshold_uncertainty_score":0.99533206},"labels":[],"label_agreement":null},{"id":"W2187483063","doi":"","title":"To the Neighborhood Quality of Life Study The Development of a Walkability Index: Application","year":2009,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Walkability; Built environment; Operationalization; Index (typography); Census; Demographics; Quality of life (healthcare); Transport engineering; Population; Geography; Urban planning; Gerontology; Environmental health; Computer science; Psychology; Demography; Engineering; Medicine; Civil engineering; Sociology","score_opus":0.05307144482687265,"score_gpt":0.36777896016240735,"score_spread":0.3147075153355347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2187483063","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9811419,0.000015194452,0.006009744,0.0028982235,0.000024855966,0.0010873398,0.0000017434243,0.000020713731,0.008800255],"genre_scores_gemma":[0.99949175,3.5775426e-7,0.00016230014,0.00020008427,0.000031937383,0.000030437188,7.838865e-7,0.000001432879,0.00008092647],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984606,0.00022817035,0.0005282763,0.00017787854,0.00047752203,0.00012753815],"domain_scores_gemma":[0.9990968,0.00014015907,0.00014792306,0.0004044653,0.000151611,0.000059033813],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036475756,0.00006220594,0.00015502506,0.000014600181,0.00028092007,0.000013198075,0.0005189198,0.00003317187,0.00009539723],"category_scores_gemma":[0.00019153547,0.000031601485,0.000047790254,0.0004337672,0.000115168616,0.00006962255,0.000022735849,0.00006502035,0.0000036039146],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030422249,0.00055029965,0.9399772,0.000003799868,0.000010656348,5.0148037e-9,0.0385052,0.000003501568,0.000060206734,0.00249225,0.000024384355,0.018342068],"study_design_scores_gemma":[0.000109778164,0.000027176186,0.9835226,0.000001067784,0.000005663145,8.5272917e-10,0.014007076,0.0000052823275,0.00015261922,0.0017301922,0.00039415254,0.00004441841],"about_ca_topic_score_codex":0.0039912174,"about_ca_topic_score_gemma":0.042917367,"teacher_disagreement_score":0.04354537,"about_ca_system_score_codex":0.00003399382,"about_ca_system_score_gemma":0.00029021807,"threshold_uncertainty_score":0.9745469},"labels":[],"label_agreement":null},{"id":"W2187794429","doi":"10.14288/1.0107176","title":"Formalizing a Federal Role for Canadian Transportation Investment: Toward Fiscal Policy that Links Transportation, Health, and the Environment","year":2008,"lang":"en","type":"article","venue":"Open Collections","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Investment (military); Business; Finance; Government (linguistics); Fiscal policy; Public economics; Economics; Political science; Politics","score_opus":0.04036399875621408,"score_gpt":0.29150424900485844,"score_spread":0.25114025024864434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2187794429","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.46531075,0.0025673164,0.009256868,0.18124679,0.0011865876,0.025983809,0.0031367752,0.00029376513,0.31101733],"genre_scores_gemma":[0.97897667,0.00032226453,0.00060664257,0.0025299252,0.00012876041,0.0005892655,0.00019561024,0.000012202784,0.016638672],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989317,0.00007705762,0.00025308074,0.0002238043,0.00017146878,0.00034285686],"domain_scores_gemma":[0.99938923,0.00006202964,0.00008625028,0.000101869446,0.000028515196,0.00033207724],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00036899775,0.00010279083,0.00017673819,0.000058893795,0.010591908,0.00035595585,0.00020305559,0.00010465733,0.00012078988],"category_scores_gemma":[0.000019293648,0.00008705547,0.000081348895,0.0003472961,0.00033003138,0.00045653738,0.0000022738104,0.00013845778,8.922905e-7],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005877818,0.00032359702,0.28355974,0.00009830242,0.0002045228,0.000005826556,0.5881915,0.00025825843,0.0000048665456,0.040173173,0.08368434,0.002908039],"study_design_scores_gemma":[0.004835068,0.00017350988,0.26335773,0.000033725697,0.00006128461,0.0000011629136,0.030495565,0.00019564161,0.000050580435,0.030090244,0.6702733,0.00043220088],"about_ca_topic_score_codex":0.8915082,"about_ca_topic_score_gemma":0.95535624,"teacher_disagreement_score":0.5865889,"about_ca_system_score_codex":0.0002678865,"about_ca_system_score_gemma":0.001379913,"threshold_uncertainty_score":0.9906962},"labels":[],"label_agreement":null},{"id":"W2197315125","doi":"10.1016/j.pmedr.2015.12.008","title":"Individual, family, and neighborhood correlates of independent mobility among 7 to 11-year-olds","year":2015,"lang":"en","type":"article","venue":"Preventive Medicine Reports","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Canada Research Chairs","keywords":"Intrapersonal communication; Socioeconomic status; Demography; Psychology; Odds ratio; Odds; Ordinal regression; Logistic regression; Ordered logit; Developmental psychology; Medicine; Social psychology; Interpersonal communication; Population","score_opus":0.03662964824408835,"score_gpt":0.3212269811376749,"score_spread":0.2845973328935866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2197315125","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9855786,0.00068872736,0.00037844462,0.00027186776,0.00055898755,0.0007198411,0.0000069879484,0.000047529407,0.011749011],"genre_scores_gemma":[0.99909353,0.00002136972,0.000060668946,0.000034433626,0.000156891,0.000026254318,0.000016355285,0.000009862753,0.0005806129],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997456,0.0001900971,0.0006627259,0.00045626913,0.0009526081,0.00028229298],"domain_scores_gemma":[0.99840707,0.000101458994,0.00037701987,0.0003252772,0.0003331255,0.0004560734],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003607886,0.00015525786,0.00042956165,0.00010429861,0.00011412894,0.000018848743,0.00017075133,0.00012054427,0.00012709571],"category_scores_gemma":[0.00095863006,0.00012578684,0.0000622499,0.00038715103,0.00072396593,0.0002645174,0.000098345765,0.00015666152,0.0000021595556],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014867283,0.00013342623,0.98393136,0.000025574787,0.000031408406,0.000044327026,0.013924643,0.0000016533611,0.000024074448,0.0001959245,0.00054111815,0.0011316168],"study_design_scores_gemma":[0.00033519842,0.00013442682,0.98221445,0.00012686293,0.00010061805,0.0000020305058,0.008747815,0.000002652917,0.000080734804,0.0074953334,0.00063283724,0.00012703729],"about_ca_topic_score_codex":0.00751425,"about_ca_topic_score_gemma":0.003009775,"teacher_disagreement_score":0.013514948,"about_ca_system_score_codex":0.00006871701,"about_ca_system_score_gemma":0.00025491355,"threshold_uncertainty_score":0.9990948},"labels":[],"label_agreement":null},{"id":"W2200074292","doi":"10.1016/j.tranpol.2015.12.009","title":"The pursuit of satisfaction: Variation in satisfaction with bus transit service among riders with encumbrances and riders with disabilities using a large-scale survey from London, UK","year":2016,"lang":"en","type":"article","venue":"Transport Policy","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":57,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Business; Service (business); Public transport; Customer satisfaction; Transit (satellite); Marketing; Scale (ratio); Service quality; Transport engineering; Engineering; Geography","score_opus":0.018560298925681767,"score_gpt":0.26785620668216337,"score_spread":0.2492959077564816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2200074292","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940642,0.00007854624,0.0035025466,0.0013360506,0.000042745152,0.0005463784,0.0002304025,0.000046949885,0.00015214524],"genre_scores_gemma":[0.9994271,0.00011484146,0.00022448425,0.00005034358,0.000081557555,0.000025908677,0.000015288993,0.000021677168,0.000038817758],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99786586,0.0001936867,0.0004104147,0.00043505375,0.0006524627,0.00044253384],"domain_scores_gemma":[0.99882615,0.0003923826,0.0002204664,0.00026696787,0.00016975403,0.00012430077],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008645373,0.00023373925,0.00034674953,0.000092941016,0.00046435138,0.00006933449,0.00018853518,0.00011626899,0.00009200761],"category_scores_gemma":[0.000020086733,0.00013201333,0.00003952738,0.0007998097,0.0010051201,0.0009789513,0.0000035282205,0.00013870467,5.56766e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00075977657,0.000030063946,0.97451097,0.00003682383,0.000058743535,0.0000018092679,0.023074385,0.00015591219,0.00018419625,0.00015321551,9.0354854e-7,0.0010331788],"study_design_scores_gemma":[0.001479302,0.000077995,0.9914656,0.0001707677,0.00008339638,5.861803e-7,0.005838109,0.000021494043,0.000109150744,0.0004981235,0.00002623533,0.00022922302],"about_ca_topic_score_codex":0.7038911,"about_ca_topic_score_gemma":0.9822423,"teacher_disagreement_score":0.27835116,"about_ca_system_score_codex":0.00013526012,"about_ca_system_score_gemma":0.00048187526,"threshold_uncertainty_score":0.5383347},"labels":[],"label_agreement":null},{"id":"W2208177462","doi":"10.1007/s11116-015-9669-z","title":"Effects of built environment and weather on bike sharing demand: a station level analysis of commercial bike sharing in Toronto","year":2015,"lang":"en","type":"article","venue":"Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":558,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bike sharing; Transport engineering; Intersection (aeronautics); Land use; Spatial dispersion; Built environment; Engineering; Civil engineering","score_opus":0.04726278010758455,"score_gpt":0.3201516662087496,"score_spread":0.272888886101165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2208177462","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99754125,0.00016748841,0.001578817,0.00003513574,0.000034461627,0.0002499964,0.000033454435,0.00001139402,0.00034800806],"genre_scores_gemma":[0.99958515,0.000058695485,0.00018879434,0.000013633353,0.000014403116,0.000012758432,0.000074701726,0.000006194844,0.00004566871],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989497,0.00003783163,0.00033966574,0.00022642377,0.00031809995,0.000128277],"domain_scores_gemma":[0.9995983,0.00005616124,0.00014466644,0.00010570383,0.0000300128,0.00006514362],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005198788,0.000086422915,0.00024700272,0.000118458716,0.000044508848,0.0000094756815,0.00010712533,0.00006884456,0.000059071288],"category_scores_gemma":[0.0000125678325,0.000086822976,0.000061359904,0.00024650487,0.00007632878,0.0003091516,0.000002450158,0.000047722297,4.4663477e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000097778524,0.0001361343,0.96225077,0.00006008404,0.00006307793,0.0000014129092,0.033139553,0.000737552,0.0006965244,0.000773391,0.0000013869636,0.0020423154],"study_design_scores_gemma":[0.00058087945,0.000052026506,0.99562526,0.00003696194,0.0002778754,2.7696498e-9,0.0013876725,0.00036071928,0.0011069289,0.00046858063,0.000019862713,0.00008321239],"about_ca_topic_score_codex":0.08372638,"about_ca_topic_score_gemma":0.3560809,"teacher_disagreement_score":0.2723545,"about_ca_system_score_codex":0.000126426,"about_ca_system_score_gemma":0.000026633912,"threshold_uncertainty_score":0.92237514},"labels":[],"label_agreement":null},{"id":"W2213113255","doi":"10.1016/j.apgeog.2015.12.002","title":"The role of socio-economic status and spatial effects on fresh food access: Two case studies in Canada","year":2015,"lang":"en","type":"article","venue":"Applied Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":52,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"Public Health Agency of Canada","keywords":"Geography; Economies of agglomeration; Inequality; Population; Socioeconomics; Economic geography; Regression analysis; Regional science; Demographic economics; Economic growth; Agricultural economics; Demography; Sociology; Economics","score_opus":0.018597233408797847,"score_gpt":0.2881652513143497,"score_spread":0.26956801790555185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2213113255","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.994002,0.0017489734,8.1840943e-7,0.00007176078,0.0001879517,0.00033084155,0.000022432152,0.000011162657,0.0036240923],"genre_scores_gemma":[0.99969316,0.00011451329,0.0000069722623,0.00004918971,0.00008115656,0.00004583106,0.000002232345,0.0000050934436,0.0000018618898],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99907976,0.000059301758,0.0001854505,0.00019930377,0.000180899,0.00029528758],"domain_scores_gemma":[0.999258,0.00036322034,0.000092418115,0.00014136356,0.0000295237,0.000115499344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039492393,0.00009897723,0.00018610289,0.000051642546,0.00025968734,0.00003815772,0.0001751412,0.000031353295,0.0000042895826],"category_scores_gemma":[0.000019792365,0.000075299096,0.00003390503,0.00014932237,0.00037129992,0.000075600205,0.00003994989,0.00009801883,5.6960283e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042721695,0.000014761278,0.9765276,0.00001163116,0.00004828617,0.00001124601,0.0029924007,0.0000124166845,0.000002488708,0.0012727324,0.00008449996,0.01897927],"study_design_scores_gemma":[0.002549332,0.00017432835,0.81890225,0.000028998387,0.00007705046,7.372648e-7,0.07607019,0.00001904519,0.0013436049,0.09521523,0.005182336,0.00043688554],"about_ca_topic_score_codex":0.9630758,"about_ca_topic_score_gemma":0.9979904,"teacher_disagreement_score":0.15762529,"about_ca_system_score_codex":0.00013937894,"about_ca_system_score_gemma":0.00049350417,"threshold_uncertainty_score":0.3070608},"labels":[],"label_agreement":null},{"id":"W2213299070","doi":"","title":"Personal soundtracks on public transit : personal listening devices and socio-spatial negotiations of students' bus journeys","year":2010,"lang":"en","type":"dissertation","venue":"Brock University Digital Repository (Brock University)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Active listening; Negotiation; Public transport; Transit (satellite); Personally identifiable information; Advertising; Telecommunications; Computer science; Transport engineering; Sociology; Engineering; Business; Communication; Computer security; Social science","score_opus":0.012992022534231798,"score_gpt":0.236514292644738,"score_spread":0.2235222701105062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2213299070","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95319504,0.0000757748,0.00015735049,0.000016386388,0.0005765124,0.00033899778,0.000185414,0.00012797571,0.04532655],"genre_scores_gemma":[0.7389704,0.00003783082,0.000018286224,0.000010188793,0.0001820435,1.7590966e-7,0.00023690819,0.000022473612,0.26052168],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99707687,0.00013585588,0.00033215946,0.0007763952,0.0011652529,0.00051348354],"domain_scores_gemma":[0.9978712,0.0002162274,0.00058672327,0.0002073745,0.0006369092,0.0004815519],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.000016280192,0.00043701244,0.0005297071,0.00066726806,0.0021636998,0.0004846821,0.0009771946,0.00080417533,0.000047693862],"category_scores_gemma":[0.00006226918,0.0005570143,0.00048041824,0.0005775294,0.00048792618,0.0022335562,0.00008234552,0.00093637966,0.0000066281364],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010272725,0.0009960002,0.97791266,0.0003507475,0.00062289607,0.00016518403,0.0118787885,0.000005449613,0.0021958717,0.00035173434,0.0021881377,0.0023052294],"study_design_scores_gemma":[0.0020915077,0.00034041962,0.5184355,0.00037684452,0.00090473477,0.000008178706,0.40755063,0.0000063297516,0.00011719044,0.00008899274,0.06875496,0.0013247377],"about_ca_topic_score_codex":0.0019156456,"about_ca_topic_score_gemma":0.054312143,"teacher_disagreement_score":0.45947722,"about_ca_system_score_codex":0.00048624197,"about_ca_system_score_gemma":0.0010045393,"threshold_uncertainty_score":0.99968815},"labels":[],"label_agreement":null},{"id":"W2213408258","doi":"","title":"Trams should pull over","year":2012,"lang":"en","type":"article","venue":"Planning News","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Pedestrian; Pleasure; Advertising; Harbour; Media studies; Sociology; Geography; Transport engineering; Engineering; Business; Computer science; Psychology","score_opus":0.10484128427806493,"score_gpt":0.37730853291044436,"score_spread":0.2724672486323794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2213408258","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8780865,0.00048683598,0.00012666339,0.00032136275,0.00051123346,0.000079388614,0.0000032139674,0.00010329189,0.12028153],"genre_scores_gemma":[0.996301,0.000004554241,0.00017275804,0.00036460382,0.00080666534,0.0000043203045,0.000007813587,0.000006560942,0.0023317365],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991173,0.000040768504,0.00011714931,0.0001175496,0.00022631952,0.00038089728],"domain_scores_gemma":[0.9996249,0.00005504508,0.00003837437,0.00011061538,0.000011851494,0.0001591808],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003764083,0.00006905233,0.00009534464,0.000023412345,0.00023901566,0.000047305883,0.0001573407,0.00008206356,0.00067645765],"category_scores_gemma":[0.000044458073,0.000060966053,0.000048849768,0.00013017742,0.00007889825,0.00041252867,0.000008196999,0.000120418495,0.00007273481],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000056294552,0.000036284917,0.9831535,0.0000032215462,0.0000039366832,0.0000015228024,0.009522425,0.000001284717,0.000042090345,0.0007719872,0.004904079,0.0015540238],"study_design_scores_gemma":[0.00008836244,0.000005059505,0.6357279,0.000009169711,0.000010220641,8.685961e-8,0.0009642872,0.000005736087,0.000055255136,0.00028795918,0.36274132,0.000104619976],"about_ca_topic_score_codex":0.0034726453,"about_ca_topic_score_gemma":0.0008066487,"teacher_disagreement_score":0.35783726,"about_ca_system_score_codex":0.000029419964,"about_ca_system_score_gemma":0.000032253163,"threshold_uncertainty_score":0.7406737},"labels":[],"label_agreement":null},{"id":"W2213673639","doi":"","title":"SAFER WALKING ROUTES TO SCHOOL: APPLIED AND METHODOLOGICAL GEOGRAPHIES OF CHILD PEDESTRIAN INJURY","year":2015,"lang":"en","type":"dissertation","venue":"MacSphere (McMaster University)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Federal Highway Administration; University of Oxford; U.S. Department of Transportation","keywords":"SAFER; Pedestrian; Psychology; Transport engineering; Engineering; Computer science; Computer security","score_opus":0.03450443443138194,"score_gpt":0.2905399131555257,"score_spread":0.25603547872414373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2213673639","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3411871,0.00019248828,0.000046328532,0.00013630018,0.00017438694,0.00040560265,0.000027501465,0.00007071202,0.6577596],"genre_scores_gemma":[0.81108606,0.00018875518,0.0020740987,0.00011036782,0.00025190835,0.0000028020993,0.00015170783,0.00003145579,0.18610287],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982809,0.00024583892,0.00025442714,0.000509849,0.00039019575,0.00031878465],"domain_scores_gemma":[0.9990054,0.00010575407,0.00021426834,0.00019286408,0.00015810091,0.00032366242],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005925087,0.00025441317,0.0005062595,0.0003023137,0.00034817893,0.000077247976,0.00048069644,0.00042037008,0.013102993],"category_scores_gemma":[0.000105837906,0.00025793054,0.0001306551,0.00092716137,0.00022336506,0.00023665029,0.000067283436,0.00033484257,0.000009680852],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025638484,0.00020476965,0.2533984,0.0004594836,0.000303037,0.00003615712,0.019557118,0.0000057675566,0.0003333582,0.008004274,0.0018049577,0.71332884],"study_design_scores_gemma":[0.0009451412,0.00017034254,0.3620134,0.00028975977,0.00045231223,2.1786063e-7,0.07200473,8.619409e-7,0.0003576839,0.0044673868,0.55839646,0.00090168533],"about_ca_topic_score_codex":0.0020352774,"about_ca_topic_score_gemma":0.015704354,"teacher_disagreement_score":0.71242714,"about_ca_system_score_codex":0.00007518389,"about_ca_system_score_gemma":0.00017092269,"threshold_uncertainty_score":0.9999873},"labels":[],"label_agreement":null},{"id":"W2216672895","doi":"10.1016/j.trpro.2015.12.004","title":"Workshop Synthesis: Improving Methods to Collect Data on Dynamic Behavior and Processes","year":2015,"lang":"en","type":"article","venue":"Transportation research procedia","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Scope (computer science); Strengths and weaknesses; Computer science; Process (computing); Identification (biology); Data science; Management science; Data collection; Process management; Engineering; Psychology","score_opus":0.2640832974256358,"score_gpt":0.5237268661728132,"score_spread":0.25964356874717737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2216672895","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9907063,0.00056422345,0.002888062,0.0019225224,0.00013232353,0.0020530962,0.0001833115,0.00028638294,0.0012637288],"genre_scores_gemma":[0.9883302,0.00007243263,0.010126078,0.000058538546,0.00009321109,0.00054138235,0.00007544276,0.000031443666,0.0006712681],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9969508,0.00029990874,0.000313586,0.00070474355,0.0011022462,0.0006286984],"domain_scores_gemma":[0.9973533,0.00081052637,0.000060701088,0.00041254685,0.00080037257,0.00056253123],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006241437,0.00014403508,0.00021084995,0.0002554138,0.00060319627,0.00020248034,0.00075090805,0.00013405422,0.00005508077],"category_scores_gemma":[0.003955883,0.00013421565,0.000021288124,0.0016254737,0.0003308038,0.0006995909,0.00002278271,0.0003460691,0.000019762527],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001440562,0.0017077154,0.41582504,0.0017626617,0.000094396346,0.00013145729,0.13425781,0.0000490287,0.0017561608,0.002644383,0.008770389,0.4315604],"study_design_scores_gemma":[0.0014735856,0.00056815613,0.90161836,0.0005414338,0.00025956435,5.1719366e-7,0.06286861,0.0005432625,0.0021783651,0.0031627107,0.025567928,0.0012175116],"about_ca_topic_score_codex":0.0020131804,"about_ca_topic_score_gemma":0.04998803,"teacher_disagreement_score":0.4857933,"about_ca_system_score_codex":0.00011577593,"about_ca_system_score_gemma":0.0016097177,"threshold_uncertainty_score":0.9673472},"labels":[],"label_agreement":null},{"id":"W2216871131","doi":"10.1016/j.socscimed.2015.12.011","title":"Neighbourhood environment and physical activity in older adults","year":2015,"lang":"en","type":"article","venue":"Social Science & Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":222,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"National Institute on Aging; Canadian Institutes of Health Research","keywords":"Neighbourhood (mathematics); Walkability; Built environment; Social environment; Recreation; Gerontology; Public health; Psychology; Level design; Physical activity; Environmental health; Cross-sectional study; Medicine; Sociology; Physical therapy","score_opus":0.024060107305066643,"score_gpt":0.3207151862970931,"score_spread":0.2966550789920265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2216871131","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9729735,0.000059126458,0.00002686248,0.0040115854,0.00016435998,0.00020440799,0.00000122146,0.000023957176,0.022534942],"genre_scores_gemma":[0.9991436,0.000010201976,0.000005551735,0.00009574611,0.00062941015,0.000007642787,6.125393e-7,0.0000032233422,0.000103995844],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99821407,0.00007114703,0.00010113112,0.00033953678,0.000889744,0.00038437874],"domain_scores_gemma":[0.9994849,0.00003811734,0.000055677043,0.00008862634,0.000038667327,0.00029401784],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0014725714,0.00008788182,0.00018491228,0.00005980724,0.0004105514,0.00002477408,0.00025085383,0.000051235078,0.00009189629],"category_scores_gemma":[0.00016776103,0.00006962515,0.000020566204,0.0005439656,0.0034781375,0.00046946717,0.00003168836,0.00014712919,0.0000054343823],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038649676,0.00027566848,0.6037913,0.000006799355,0.0000014936248,0.0000063486323,0.31512094,2.483381e-7,0.00034782512,0.0022352717,0.00011989978,0.07805556],"study_design_scores_gemma":[0.00087690144,0.00004678252,0.9823707,0.000022455602,0.0000070888323,7.327734e-8,0.013338698,0.000039591723,0.00006827886,0.0025226774,0.0006013217,0.00010548154],"about_ca_topic_score_codex":0.0058769514,"about_ca_topic_score_gemma":0.00093264325,"teacher_disagreement_score":0.37857935,"about_ca_system_score_codex":0.00021515485,"about_ca_system_score_gemma":0.00024449558,"threshold_uncertainty_score":0.99923384},"labels":[],"label_agreement":null},{"id":"W2218919937","doi":"10.3390/ijerph121215027","title":"Active Travel by Built Environment and Lifecycle Stage: Case Study of Osaka Metropolitan Area","year":2015,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Metropolitan area; Stage (stratigraphy); Transport engineering; Geography; Environmental planning; Engineering; Archaeology; Geology","score_opus":0.15793955027687745,"score_gpt":0.44157906746178427,"score_spread":0.2836395171849068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2218919937","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948461,0.0009179936,0.00007216001,0.0032162738,0.00007428557,0.00023616552,0.00013964459,0.0000018054175,0.00049555046],"genre_scores_gemma":[0.998534,0.0009887285,0.00006021308,0.00005450528,0.00009866364,0.0000034606087,0.0000058585138,0.0000060834172,0.00024844514],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99693334,0.0004963239,0.00042579407,0.00017687211,0.0016450171,0.0003226247],"domain_scores_gemma":[0.99852157,0.00018612214,0.00023996017,0.000089468565,0.000082647064,0.0008802556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034222903,0.00008179213,0.00019584698,0.00019905098,0.00021591189,0.0000848657,0.00027238796,0.000043169788,0.00020775372],"category_scores_gemma":[0.00016335344,0.000070032576,0.000030169107,0.000077853925,0.00062663056,0.0005261992,0.00008751498,0.00032213927,0.0000010805312],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002958045,0.0056250417,0.9051808,0.000013122454,0.00023056778,0.0005002446,0.037364278,0.0000014092351,0.00024643212,0.0003124709,0.0007891259,0.049440693],"study_design_scores_gemma":[0.0030647416,0.0034455603,0.2832402,0.00001758725,0.000008634361,0.00010469091,0.6945073,0.000019476185,0.00010830441,0.0010382636,0.014299652,0.00014557847],"about_ca_topic_score_codex":0.017064724,"about_ca_topic_score_gemma":0.0018973649,"teacher_disagreement_score":0.65714306,"about_ca_system_score_codex":0.0009136649,"about_ca_system_score_gemma":0.00038873949,"threshold_uncertainty_score":0.98948073},"labels":[],"label_agreement":null},{"id":"W2220577718","doi":"10.1016/j.pmedr.2015.12.002","title":"Does activity space size influence physical activity levels of adolescents?—A GPS study of an urban environment","year":2015,"lang":"en","type":"article","venue":"Preventive Medicine Reports","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia; Simon Fraser University; British Columbia Centre of Excellence for Women's Health","funders":"Carolina Population Center, University of North Carolina at Chapel Hill; Eunice Kennedy Shriver National Institute of Child Health and Human Development; Canadian Institutes of Health Research; University of North Carolina at Chapel Hill; National Institutes of Health; Heart and Stroke Foundation of Canada","keywords":"Global Positioning System; Physical activity; Space (punctuation); Environmental health; Geography; Computer science; Medicine; Physical medicine and rehabilitation; Telecommunications","score_opus":0.03456941347356467,"score_gpt":0.34005000395376306,"score_spread":0.3054805904801984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2220577718","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99792033,0.000025405867,0.000128412,0.00013799159,0.00023773838,0.0009815347,0.000007744537,0.0000320785,0.00052877795],"genre_scores_gemma":[0.99929965,0.000003318908,0.000025101108,0.0000040232053,0.00022303776,0.000020027092,9.627413e-7,0.0000114301,0.00041245305],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968755,0.00058657746,0.00041342067,0.0005431878,0.0013025436,0.00027875972],"domain_scores_gemma":[0.9979337,0.0001291465,0.00087342045,0.0005800896,0.00018960262,0.00029406414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019087392,0.00020249492,0.00062675885,0.000050602248,0.00011028933,0.0000072474277,0.00022945735,0.00006983977,0.00006194145],"category_scores_gemma":[0.0006966448,0.0001310546,0.00009196531,0.00024678788,0.0008303552,0.00058305304,0.00007666063,0.00020914775,7.2087545e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010823273,0.0046886844,0.95313185,0.00006109283,0.00004897903,0.000059309543,0.031785656,0.000011251329,0.0067239027,0.000008519442,0.000010918748,0.0033615765],"study_design_scores_gemma":[0.00062946824,0.0005448807,0.98115855,0.00012594993,0.00013729848,6.015079e-7,0.005389244,0.000008163302,0.010856705,0.00092879776,0.00007492663,0.00014541125],"about_ca_topic_score_codex":0.0069265296,"about_ca_topic_score_gemma":0.00096550357,"teacher_disagreement_score":0.028026676,"about_ca_system_score_codex":0.00013213295,"about_ca_system_score_gemma":0.00021287918,"threshold_uncertainty_score":0.9996864},"labels":[],"label_agreement":null},{"id":"W2223739932","doi":"","title":"Measuring Accessibility to Urban Services Using Fuzzy Logic Within Transportation GIS","year":2003,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"TRIPS architecture; Transport engineering; Fuzzy logic; Service (business); Order (exchange); Travel behavior; Level of service; Business; Homogeneous; Bridge (graph theory); Geography; Computer science; Marketing; Engineering; Mathematics","score_opus":0.10255951938008617,"score_gpt":0.3682641674927024,"score_spread":0.26570464811261624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2223739932","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9562004,0.00015238136,0.000012473299,0.00020692799,0.0007106362,0.0014185345,0.00008806079,0.000086896296,0.04112368],"genre_scores_gemma":[0.99654585,0.00039857338,0.0018179393,0.00012663496,0.0003034174,0.000119394106,0.00007268155,0.000051685714,0.0005637959],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99454904,0.0007566517,0.0011646572,0.0016408509,0.0007581156,0.0011306652],"domain_scores_gemma":[0.9975643,0.000208802,0.0003623283,0.0010483051,0.00032637958,0.00048985233],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0066968175,0.00040268918,0.00071129965,0.00046564202,0.0007335477,0.00047420248,0.0014673603,0.00071870827,0.00018991956],"category_scores_gemma":[0.0002503707,0.00044698597,0.0002525792,0.00051363156,0.00050305075,0.00052840664,0.00015630196,0.0015853703,0.0000082073675],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016004413,0.00030031143,0.9518652,0.00071442965,0.000073453964,0.00003865749,0.023069672,0.01207112,0.00023338778,0.00063728157,0.0000061284154,0.010830339],"study_design_scores_gemma":[0.0010191473,0.00009719672,0.93639743,0.0011443802,0.000085902095,6.9781026e-7,0.016360901,0.0017420339,0.0007252079,0.035388667,0.005016551,0.0020218873],"about_ca_topic_score_codex":0.00831701,"about_ca_topic_score_gemma":0.07695119,"teacher_disagreement_score":0.06863418,"about_ca_system_score_codex":0.0019384831,"about_ca_system_score_gemma":0.001608309,"threshold_uncertainty_score":0.9997982},"labels":[],"label_agreement":null},{"id":"W2225363382","doi":"10.3390/ijerph13010106","title":"Beyond Smoking Prevalence: Exploring the Variability of Associations between Neighborhood Exposures across Two Nested Spatial Units and Two-Year Smoking Trajectory among Young Adults","year":2016,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Institut pour la Recherche en Santé Publique; Université de Montréal","keywords":"Demography; Trajectory; Smoking prevalence; Geography; Sociology; Population","score_opus":0.08580373453847398,"score_gpt":0.3808947000185328,"score_spread":0.29509096548005886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2225363382","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99610716,0.00020719903,0.00020980726,0.0024269032,0.00026263445,0.00021052611,0.00030064196,0.0000058831033,0.00026922903],"genre_scores_gemma":[0.9984637,0.00088944746,0.00002262887,0.000025269004,0.00054753385,0.000007008538,0.000008712629,0.00000770377,0.0000280336],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99607694,0.0010273363,0.0006093134,0.00021154268,0.0016224426,0.0004524187],"domain_scores_gemma":[0.9973354,0.0014766091,0.00042231762,0.00011568971,0.00026049637,0.00038948798],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009976783,0.00009431786,0.00019887231,0.00012808696,0.0006514236,0.00015624535,0.00047899442,0.000055205484,0.000108604974],"category_scores_gemma":[0.0014235749,0.000063653024,0.000050368297,0.00018536595,0.0009751266,0.0010884699,0.00011600733,0.0004284962,2.6866388e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003947411,0.000108616725,0.94951695,0.000012195688,0.00006792443,0.000002303116,0.00985931,4.4937758e-7,0.000042508836,0.00039955677,0.000006614755,0.039944116],"study_design_scores_gemma":[0.0009677675,0.00013534087,0.99074155,0.00009496817,0.0000055718183,0.000001197177,0.006162641,0.0000025224465,0.000033728447,0.0016970088,0.00009795057,0.0000597394],"about_ca_topic_score_codex":0.0047013555,"about_ca_topic_score_gemma":0.003078799,"teacher_disagreement_score":0.041224632,"about_ca_system_score_codex":0.00054826494,"about_ca_system_score_gemma":0.00050352,"threshold_uncertainty_score":0.7107075},"labels":[],"label_agreement":null},{"id":"W2225586499","doi":"10.1061/(asce)up.1943-5444.0000303","title":"Conceptual Model for the Sustainable Rehabilitation of Medium-Size Inner Cities in Europe: Coimbra, Portugal","year":2016,"lang":"en","type":"article","venue":"Journal of Urban Planning and Development","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Retrofitting; Conceptual model; Quarter (Canadian coin); Sociocultural evolution; Environmental planning; Regional science; Sustainable development; Population; Geography; Business; Engineering; Computer science; Political science; Sociology","score_opus":0.029694417686663258,"score_gpt":0.2860084154204749,"score_spread":0.25631399773381164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2225586499","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9903331,0.00091210136,0.0060146255,0.0019379316,0.00012316513,0.0001737653,0.000003629095,0.0000056781646,0.00049599493],"genre_scores_gemma":[0.9946977,0.000025796575,0.0022589264,0.000051732903,0.00007140695,0.00000541594,5.269945e-7,0.0000044743506,0.002884009],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99890184,0.00005223684,0.00048614785,0.000086538785,0.0002847648,0.00018845517],"domain_scores_gemma":[0.9981373,0.001040901,0.0002746011,0.000048575508,0.00044091642,0.0000576945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019148509,0.00006794416,0.00017460127,0.00006558191,0.0001778305,0.000020996831,0.00014173125,0.0000443819,0.000015224297],"category_scores_gemma":[0.00092233304,0.000037269383,0.000028846427,0.000119599856,0.00033691205,0.00026053298,0.000014359296,0.00007529591,1.4099014e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025727908,0.000048540416,0.87383956,0.000039263545,0.000027573878,0.000008625111,0.11473595,0.0001318336,0.00007268563,0.0034108402,0.0059547685,0.0014730943],"study_design_scores_gemma":[0.0016389216,0.00017173516,0.8896569,0.000309626,0.000022377573,0.0000014547385,0.059658457,0.00010822393,0.000244204,0.0020937072,0.04592265,0.00017173616],"about_ca_topic_score_codex":0.00005534902,"about_ca_topic_score_gemma":0.00006222227,"teacher_disagreement_score":0.055077497,"about_ca_system_score_codex":0.00007215998,"about_ca_system_score_gemma":0.0008740569,"threshold_uncertainty_score":0.15505393},"labels":[],"label_agreement":null},{"id":"W2225777636","doi":"10.1136/bmjopen-2015-009045","title":"Factoring in weather variation to capture the influence of urban design and built environment on globally recommended levels of moderate to vigorous physical activity in children","year":2015,"lang":"en","type":"article","venue":"BMJ Open","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Saskatchewan Health Authority; Dalhousie University; University of Saskatchewan; Saskatchewan Health; University of Regina","funders":"Canadian Institutes of Health Research; University of Regina; Heart and Stroke Foundation of Canada","keywords":"Observational study; Built environment; Level design; Neighbourhood (mathematics); Environmental health; Population; Multilevel model; Psychological intervention; Geography; Medicine; Engineering; Civil engineering","score_opus":0.1059153164400267,"score_gpt":0.37677048544755354,"score_spread":0.2708551690075268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2225777636","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99521613,0.0000021396888,0.00065627805,0.00091248937,0.000011841856,0.0028622882,0.0000142182425,0.0000029395665,0.0003216824],"genre_scores_gemma":[0.9993616,4.5537848e-7,0.00042159238,0.00008221603,0.000017279106,0.00007741997,4.033371e-7,0.0000035301566,0.000035503665],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990632,0.00023676906,0.0001368036,0.00018596553,0.0002519976,0.00012525519],"domain_scores_gemma":[0.9996088,0.000059538655,0.00007709173,0.00017214373,0.000018050503,0.00006435747],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012296097,0.000071347196,0.00017251642,0.000024066694,0.00003734525,0.000036658646,0.00034954483,0.00004097943,0.0000053949316],"category_scores_gemma":[0.00007492246,0.000053636686,0.000013000909,0.00014555873,0.00003089137,0.0002466501,0.00009162723,0.000071583825,0.0000014536503],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00066720566,0.0004051484,0.86632377,0.000006336735,0.000015177357,8.385193e-7,0.09545348,0.03005734,0.0029618163,0.00030501906,0.000034453442,0.0037693887],"study_design_scores_gemma":[0.0003008633,0.00006244511,0.99728006,0.000032201413,0.0000035064315,2.7647186e-8,0.00021189472,0.00011933255,0.0011882914,0.0007111721,0.000019027504,0.00007117631],"about_ca_topic_score_codex":0.022465404,"about_ca_topic_score_gemma":0.0025044186,"teacher_disagreement_score":0.13095626,"about_ca_system_score_codex":0.000116450086,"about_ca_system_score_gemma":0.00010091319,"threshold_uncertainty_score":0.9840441},"labels":[],"label_agreement":null},{"id":"W2227155379","doi":"","title":"Economies of Scale in Fire and Police Services in Ontario","year":2012,"lang":"en","type":"preprint","venue":"TSpace (University of Toronto)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"TD Bank","keywords":"Economies of scale; Population; Scale (ratio); Business; Econometric model; Economics; Geography; Environmental health; Econometrics","score_opus":0.018695319740263033,"score_gpt":0.2509611872667119,"score_spread":0.23226586752644887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2227155379","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9367988,0.0006755752,0.0000012550382,0.00023536423,0.000085024134,0.0001697043,0.000013681642,0.000009341906,0.06201122],"genre_scores_gemma":[0.99762774,0.0002654253,0.00028116233,0.000004822104,0.000018657396,1.8126057e-7,0.0000074159093,0.0000031304478,0.0017914425],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99931383,0.00005763453,0.00011297487,0.00021852544,0.000109739114,0.00018726636],"domain_scores_gemma":[0.99949807,0.00002648023,0.00018882177,0.0001817051,0.00003256395,0.00007233736],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00029738314,0.00010062493,0.00034337657,0.000037288282,0.00006537909,0.000009034529,0.00035688962,0.0002292797,0.0041035777],"category_scores_gemma":[0.0000012902452,0.0001351492,0.00006363842,0.000031781034,0.00027597105,0.0005407332,0.00020194172,0.00017700375,0.0000011370382],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028798091,0.000049749382,0.7361165,0.00012606787,0.000008028411,4.4105488e-7,0.26192802,0.0000041866665,0.000004274132,0.00005037818,0.0000036861725,0.0016798279],"study_design_scores_gemma":[0.00021223353,0.0000070110887,0.9362387,0.000113594644,0.00002015293,1.628623e-8,0.062879786,0.00001368233,0.0000037875252,0.0000931239,0.00031138147,0.00010651266],"about_ca_topic_score_codex":0.9994705,"about_ca_topic_score_gemma":0.9999502,"teacher_disagreement_score":0.20012219,"about_ca_system_score_codex":0.0005553331,"about_ca_system_score_gemma":0.00025737422,"threshold_uncertainty_score":0.9968068},"labels":[],"label_agreement":null},{"id":"W2230017948","doi":"10.4278/0890-1171-21.4s.305","title":"Urban Form Relationships with Walk Trip Frequency and Distance among Youth","year":2007,"lang":"en","type":"article","venue":"American Journal of Health Promotion","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":309,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bombardier (Canada); University of British Columbia","funders":"Robert Wood Johnson Foundation","keywords":"Recreation; Residence; Demography; Geography; Odds; Variables; Logistic regression; Psychology; Statistics; Mathematics; Sociology","score_opus":0.04067726540867777,"score_gpt":0.3221080232216435,"score_spread":0.2814307578129657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2230017948","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97634757,0.00027538903,0.020581163,0.0016011135,0.000090784284,0.0002472156,0.000003194738,0.000017235401,0.00083635],"genre_scores_gemma":[0.9980941,0.000042578406,0.0015992972,0.000054780634,0.00015322775,0.0000014757721,0.000002999916,0.0000070869864,0.000044475346],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984185,0.00026542792,0.0005366396,0.00012300638,0.00036344957,0.00029294458],"domain_scores_gemma":[0.99845564,0.000073645235,0.0009788119,0.00008095065,0.00016888547,0.00024206948],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044017187,0.00007784711,0.00022976681,0.00009374804,0.00072837836,0.000038740694,0.000103090555,0.000031855056,0.0000093353565],"category_scores_gemma":[0.00008503584,0.000059530917,0.000035739526,0.00044369604,0.0006837856,0.0005984078,0.0000029112869,0.00031695733,4.5995483e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037132704,0.00006974161,0.94894534,0.000015342974,0.000005693705,0.0000035974736,0.022050321,2.1884776e-7,0.0000012778701,0.0004720126,0.000015150587,0.028384153],"study_design_scores_gemma":[0.00025158896,0.0008137847,0.9812705,0.00009396127,0.000016186155,0.0000022534591,0.016038727,0.0000015774733,0.000004034581,0.0012006781,0.00023282571,0.00007388441],"about_ca_topic_score_codex":0.0022842472,"about_ca_topic_score_gemma":0.008496656,"teacher_disagreement_score":0.032325137,"about_ca_system_score_codex":0.00019951983,"about_ca_system_score_gemma":0.00038890497,"threshold_uncertainty_score":0.5602171},"labels":[],"label_agreement":null},{"id":"W2232136992","doi":"10.1177/2158244013495541","title":"Daily Mobility and Residential Migrations in the Montréal Metropolitan Region","year":2013,"lang":"en","type":"article","venue":"SAGE Open","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo; Institut National de la Recherche Scientifique","funders":"","keywords":"Metropolitan area; Relevance (law); Regional science; Economic geography; Geography; Census; Sociology; Demography; Political science; Population","score_opus":0.02753415342856276,"score_gpt":0.31090658057156406,"score_spread":0.2833724271430013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2232136992","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95808154,0.0004123048,0.00004814308,0.008193992,0.00004394136,0.00086163555,0.0000030019448,0.000011446913,0.032344],"genre_scores_gemma":[0.9976011,0.00003942808,0.0000953747,0.00022491877,0.0000611179,0.000067732704,0.000003543181,0.000002524272,0.0019042507],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991145,0.00024594562,0.00014521077,0.0001761797,0.00015867307,0.0001594874],"domain_scores_gemma":[0.9995969,0.00007564938,0.000035058816,0.0002179901,0.000026984957,0.00004744231],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007611134,0.000051235904,0.000086114764,0.000021843614,0.00040050896,0.00039972962,0.00046684087,0.00004285441,0.00025723333],"category_scores_gemma":[0.000078610894,0.000035432906,0.000024191853,0.00021021988,0.00022509549,0.0008119389,0.000048246056,0.00008999101,0.0000152070415],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016031781,0.00013384792,0.95833135,0.000006089546,0.000006140732,0.000007976291,0.018112002,2.7626152e-7,0.000042678184,0.006557146,0.011511191,0.005275263],"study_design_scores_gemma":[0.00015582416,0.000011262413,0.9592261,0.0000061261885,0.0000063803213,1.2484585e-7,0.015556605,0.0000057057714,0.00000922533,0.019848304,0.0051191156,0.000055229146],"about_ca_topic_score_codex":0.58154637,"about_ca_topic_score_gemma":0.5963814,"teacher_disagreement_score":0.039519574,"about_ca_system_score_codex":0.00005692386,"about_ca_system_score_gemma":0.000056210552,"threshold_uncertainty_score":0.42124015},"labels":[],"label_agreement":null},{"id":"W2232418879","doi":"","title":"The Use of GIS for the Subjective and Objective Analysis of the Quality of Life in KwaZulu-Natal, South Africa","year":2011,"lang":"en","type":"article","venue":"Arab world geographer","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Ranking (information retrieval); Weighting; Quality of life (healthcare); Feeling; Life satisfaction; Geography; Socioeconomics; Perception; Life quality; Rural area; Quality (philosophy); Gerontology; Psychology; Demography; Social psychology; Sociology; Medicine; Computer science","score_opus":0.0819799811941404,"score_gpt":0.30622221829555923,"score_spread":0.22424223710141883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2232418879","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970272,0.0006512811,0.00006330217,0.00013176356,0.000060280458,0.0005059634,0.00010270453,0.000005920189,0.0014515374],"genre_scores_gemma":[0.999584,0.00004313633,0.00006414615,0.00002782949,0.000010268161,0.000029314868,9.717271e-7,0.0000041491553,0.00023618797],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99854267,0.00033962185,0.00043734233,0.00020013313,0.0002818519,0.0001983787],"domain_scores_gemma":[0.99755174,0.0013982817,0.00041288816,0.00039059517,0.00021090724,0.000035563357],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015848364,0.00009154158,0.00030905017,0.00012858523,0.00029677703,0.00001728952,0.00038342134,0.000044176173,0.00004364879],"category_scores_gemma":[0.00038377315,0.000045603647,0.00035976194,0.0026861688,0.0015862869,0.00013966522,0.000040882278,0.00010469501,1.14528255e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014925051,0.00007765374,0.94626695,0.000008641224,0.0004345466,3.206634e-8,0.050945472,0.000008664171,0.00000776426,0.0017325906,0.000024233608,0.00034421848],"study_design_scores_gemma":[0.00018464503,0.000014192228,0.9869638,0.00000826001,0.00031071834,1.6235847e-9,0.009438587,0.00002238921,0.00009465261,0.0025535005,0.00035058442,0.00005866983],"about_ca_topic_score_codex":0.040958073,"about_ca_topic_score_gemma":0.29146296,"teacher_disagreement_score":0.25050488,"about_ca_system_score_codex":0.000008987235,"about_ca_system_score_gemma":0.00007139755,"threshold_uncertainty_score":0.9654283},"labels":[],"label_agreement":null},{"id":"W2236315680","doi":"","title":"MODELLING THE FUTURE OF LAND USE, TRANSPORTATION AND THE ENVIRONMENT IN THE WINDSOR CMA, ONTARIO, CANADA","year":2012,"lang":"en","type":"article","venue":"Scholarship at UWindsor (University of Windsor)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Windsor; Environmental planning; Geography; Land use; Engineering; Environmental resource management; Environmental science; Civil engineering","score_opus":0.02007461035292418,"score_gpt":0.20177706562004658,"score_spread":0.1817024552671224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2236315680","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99537164,0.0006019813,0.00005126575,0.0028574516,0.00011135115,0.00040721652,0.00004125801,0.000005514125,0.0005523236],"genre_scores_gemma":[0.99900866,0.00010103134,0.00009072934,0.000105150866,0.00006900559,9.063653e-7,0.000018256109,0.0000059049366,0.00060033123],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982387,0.0004018402,0.00020147656,0.00019468021,0.00064284756,0.00032049263],"domain_scores_gemma":[0.99907017,0.000301967,0.00019600744,0.00030436835,0.00004031972,0.00008715167],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019393564,0.00013210124,0.00022369476,0.00004198598,0.00083650707,0.000028706132,0.0005980646,0.00012742227,0.00025901888],"category_scores_gemma":[0.000011187061,0.00008629003,0.00010319433,0.00023206814,0.000685838,0.0008229181,0.000023581782,0.00043533716,0.0000012884647],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015165131,0.000047370217,0.9310807,0.000011942778,0.000024326986,0.000002330728,0.06685617,0.0005377633,0.000010966546,0.0010768629,0.000039341045,0.00016058],"study_design_scores_gemma":[0.00082031527,0.000010031645,0.96615744,0.000016247695,0.0000926436,2.75371e-7,0.019989582,0.00003811879,0.00001703656,0.0004206832,0.012330067,0.00010757637],"about_ca_topic_score_codex":0.89109707,"about_ca_topic_score_gemma":0.98865306,"teacher_disagreement_score":0.09755597,"about_ca_system_score_codex":0.00017904348,"about_ca_system_score_gemma":0.0002678281,"threshold_uncertainty_score":0.6433821},"labels":[],"label_agreement":null},{"id":"W2237375642","doi":"","title":"An Indicator to Measure Inequality in the Provision of Local Public Transport in Italy","year":2012,"lang":"en","type":"article","venue":"Review of Economics and Finance","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Public transport; Inequality; Order (exchange); Capital (architecture); Relevance (law); Measure (data warehouse); Business; Service (business); Regional science; Public sector; Passenger transport; Economics; Public economics; Transport engineering; Geography; Marketing; Economy; Finance; Computer science; Political science; Engineering; Mathematics","score_opus":0.04814212083210415,"score_gpt":0.3105513415781628,"score_spread":0.2624092207460586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2237375642","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.977876,0.020377243,0.00004186424,0.00085908367,0.000023060209,0.00034740052,0.000014435963,0.0000012746616,0.00045962422],"genre_scores_gemma":[0.9696244,0.030072035,0.00006471675,0.00020029688,0.00001796557,0.000013200029,0.0000037589427,0.0000020781513,0.0000015284895],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99919814,0.000082370214,0.00040373168,0.00012150231,0.000053528096,0.00014072999],"domain_scores_gemma":[0.9996186,0.00002528089,0.00013806943,0.00016265456,0.000018694422,0.000036723188],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032957257,0.000052667037,0.0002579416,0.00003135834,0.000027191418,0.0000046787422,0.00021275254,0.000041880587,0.00000918172],"category_scores_gemma":[0.0000262948,0.000039548584,0.000037333706,0.00017702876,0.00011448994,0.00032649274,0.0000049198047,0.00006246251,6.4006196e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006517235,0.00017284339,0.91635424,0.00053151016,0.0000011915182,1.3583649e-7,0.0027814424,0.0000014719983,0.0000014799971,0.020526145,0.000005740092,0.059617296],"study_design_scores_gemma":[0.00008849924,0.000024592186,0.98244077,0.0004039341,0.000004280343,4.6465104e-8,0.00030815022,0.0000066657253,0.000012241934,0.0003599612,0.01628818,0.00006269837],"about_ca_topic_score_codex":0.0006947189,"about_ca_topic_score_gemma":0.0046020495,"teacher_disagreement_score":0.06608652,"about_ca_system_score_codex":0.000022716162,"about_ca_system_score_gemma":0.00010086291,"threshold_uncertainty_score":0.25680515},"labels":[],"label_agreement":null},{"id":"W2239389796","doi":"10.3390/ijerph13010130","title":"Built Environment Influences of Children’s Physical Activity: Examining Differences by Neighbourhood Size and Sex","year":2016,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":86,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University","funders":"Canadian Institutes of Health Research; Children's Health Foundation; Social Sciences and Humanities Research Council of Canada; Children's Health Research Institute; Heart and Stroke Foundation of Canada","keywords":"Neighbourhood (mathematics); Physical activity; Built environment; Physical space; Demography; Geography; Psychology; Ecology; Medicine; Mathematics; Sociology; Cartography","score_opus":0.07177837732015169,"score_gpt":0.3794535830709571,"score_spread":0.3076752057508054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2239389796","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.991343,0.0005717308,0.00005842166,0.0076191267,0.0000456389,0.000101827216,0.00009406314,0.0000026685693,0.00016348524],"genre_scores_gemma":[0.99508166,0.004472453,0.000036383182,0.000048336384,0.00018624756,0.000002544334,0.0000012949947,0.0000047570643,0.00016631039],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99753255,0.0003214001,0.0002675646,0.00018642079,0.0013592327,0.0003328224],"domain_scores_gemma":[0.99853855,0.00069887354,0.00024706978,0.00007081209,0.000028438555,0.00041622785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001641335,0.00008573255,0.00020284517,0.000100957324,0.00020123179,0.000083407154,0.00035067985,0.00004447859,0.00032719105],"category_scores_gemma":[0.00019506668,0.000057143854,0.00003517911,0.000047942907,0.001182491,0.00064741814,0.00009469384,0.00021006107,0.0000014001445],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028379487,0.0005101081,0.749433,0.0000033007298,0.000047708425,0.0000017963968,0.0015873329,2.6767083e-8,0.0033713488,0.000073505966,0.000029780886,0.2449137],"study_design_scores_gemma":[0.00046346922,0.00039612368,0.99548274,0.000033132263,0.0000020456698,0.0000028889015,0.0010075688,0.0000012058399,0.00036800324,0.0013012578,0.00088310236,0.000058444482],"about_ca_topic_score_codex":0.0010193762,"about_ca_topic_score_gemma":0.00007473344,"teacher_disagreement_score":0.24604975,"about_ca_system_score_codex":0.0002056987,"about_ca_system_score_gemma":0.00021378008,"threshold_uncertainty_score":0.43569374},"labels":[],"label_agreement":null},{"id":"W2241789229","doi":"","title":"MOVING BEYOND OBSERVED OUTCOMES: INTEGRATING GLOBAL POSITIONING SYSTEMS AND INTERACTIVE COMPUTER-BASED TRAVEL BEHAVIOR SURVEYS","year":2001,"lang":"en","type":"article","venue":"Transportation research circular","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":57,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Global Positioning System; Travel behavior; Computer science; Travel survey; Geographic information system; Key (lock); Transport engineering; Data science; Geography; Engineering; Computer security; Telecommunications; Cartography","score_opus":0.09698475524988102,"score_gpt":0.39304619150410963,"score_spread":0.2960614362542286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2241789229","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9206118,0.00015163665,0.07721339,0.00023289975,0.00020012085,0.0007996117,0.000101720645,0.00009746611,0.0005913597],"genre_scores_gemma":[0.99878395,0.000013588165,0.00062671636,0.000040944982,0.00008707754,0.00010244943,0.00025353147,0.000016210237,0.00007556502],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99612224,0.001157741,0.0005011918,0.0005155709,0.001118263,0.000585013],"domain_scores_gemma":[0.99833816,0.00041185686,0.00011876523,0.00021181935,0.0006408253,0.00027854732],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039015077,0.00018507891,0.00031361284,0.00014297802,0.0010149957,0.00037907818,0.00029270622,0.0001526493,0.00010033544],"category_scores_gemma":[0.000086861495,0.00018529153,0.0001220594,0.00080845004,0.00040169706,0.00069262786,0.0000049794203,0.00041778007,0.000005982546],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001942127,0.00016352213,0.9908595,0.000057194124,0.0000313276,0.00012091409,0.0035833793,0.0001488905,0.00035425043,0.0017229181,0.000006596852,0.0029321008],"study_design_scores_gemma":[0.00055475504,0.000054494052,0.9905622,0.000101763966,0.000035525933,4.7233672e-7,0.006537411,0.0016788315,0.000028339975,0.00019254333,0.000061863226,0.00019179724],"about_ca_topic_score_codex":0.045048054,"about_ca_topic_score_gemma":0.024178155,"teacher_disagreement_score":0.078172125,"about_ca_system_score_codex":0.00031335573,"about_ca_system_score_gemma":0.00031120333,"threshold_uncertainty_score":0.993628},"labels":[],"label_agreement":null},{"id":"W2245864484","doi":"10.1109/geoinformatics.2015.7378639","title":"A system dynamics model for urban sustainable transportation planning","year":2015,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Queen's University","funders":"","keywords":"System dynamics; Urban planning; Transportation planning; Work (physics); Process (computing); Sustainable development; Transport engineering; Government (linguistics); Sustainable transport; Environmental planning; Land-use planning; Population; Population growth; Land use; Exploratory research; Computer science; Environmental economics; Business; Sustainability; Engineering; Civil engineering; Geography; Economics","score_opus":0.04456619657604506,"score_gpt":0.3165606660856309,"score_spread":0.27199446950958583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2245864484","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45898476,0.00006526249,0.48632756,0.0002689147,0.000119284625,0.00060952053,0.000026378533,0.00028576548,0.053312577],"genre_scores_gemma":[0.9766745,2.574414e-7,0.0018487633,0.000027413855,0.00008144998,0.000040956827,0.00006374029,0.000008179486,0.021254748],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991345,0.000016976881,0.00017192055,0.00016708038,0.0002091131,0.00030040587],"domain_scores_gemma":[0.9994585,0.000025215199,0.000048684593,0.00008938909,0.00023431986,0.00014389466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064958405,0.00006808711,0.00011137424,0.000034812565,0.00027697728,0.000058291214,0.00014057207,0.000077256926,0.0000044754656],"category_scores_gemma":[0.00002430489,0.00006315493,0.00005386584,0.00014068648,0.00005416977,0.00040575603,0.0000016484723,0.000041931984,0.0000016923634],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000899762,0.00005087693,0.2101067,0.0001913883,0.000012094272,0.000007796146,0.04855239,0.009012042,0.0000012913389,0.72826785,0.003575757,0.00013185495],"study_design_scores_gemma":[0.00078809407,0.00003942615,0.0040251864,0.000026607391,0.00005159616,5.3142443e-8,0.18710364,0.7919444,0.000016747757,0.011665426,0.0040745526,0.00026430373],"about_ca_topic_score_codex":0.002930822,"about_ca_topic_score_gemma":0.0056654396,"teacher_disagreement_score":0.78293234,"about_ca_system_score_codex":0.00029994606,"about_ca_system_score_gemma":0.0003396299,"threshold_uncertainty_score":0.4430546},"labels":[],"label_agreement":null},{"id":"W2246112391","doi":"10.1016/j.cjca.2015.07.018","title":"GEOGRAPHIC ANALYSIS OF PRIMARY PCI ACCESS IN ONTARIO: SERVICE AREAS AND POPULATION COVERAGE OF ONTARIO PCI CENTRES","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Toronto Public Health","funders":"","keywords":"Conventional PCI; Medicine; Population; Percutaneous coronary intervention; Census; Myocardial infarction; Medical emergency; Demography; Emergency medicine; Geography; Environmental health; Internal medicine","score_opus":0.03459986138780051,"score_gpt":0.2633531779245886,"score_spread":0.2287533165367881,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2246112391","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9921574,0.00031066654,0.0000393662,0.00016998294,0.00019589941,0.000073867595,0.00001921614,0.000001241191,0.0070323343],"genre_scores_gemma":[0.99975365,0.000016484873,0.000026035466,0.00006524155,0.000052482712,4.823005e-7,0.000027205142,0.0000029336013,0.000055471606],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99882895,0.00017743514,0.00046732317,0.000120326185,0.0001889572,0.00021703754],"domain_scores_gemma":[0.99880236,0.000051912248,0.00033139536,0.00011565625,0.00033111693,0.00036755102],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008225764,0.0000786561,0.0006205224,0.0006329338,0.000054279262,0.000022999358,0.00026572612,0.00012523768,0.00006271155],"category_scores_gemma":[0.000056627097,0.00007547008,0.00015658174,0.0006167587,0.00016394492,0.00032666218,0.00001047699,0.00019417873,9.212038e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043616852,0.0000036409187,0.99212635,0.000008627937,0.0002461444,0.000022542676,0.004888043,0.0021287655,0.0000021449284,0.00007903708,0.00003755506,0.00041353214],"study_design_scores_gemma":[0.00035908545,0.000029431238,0.99355644,0.00001751124,0.00033185474,0.0000021049077,0.00026556812,0.0000023945863,0.0000011038425,0.00091622263,0.0044526993,0.00006556601],"about_ca_topic_score_codex":0.99416006,"about_ca_topic_score_gemma":0.9999105,"teacher_disagreement_score":0.007596237,"about_ca_system_score_codex":0.00078486494,"about_ca_system_score_gemma":0.0053076074,"threshold_uncertainty_score":0.94154674},"labels":[],"label_agreement":null},{"id":"W2248063402","doi":"","title":"Light Rail as the Catalyst for Ottawa’s Transit-Oriented Development: Planning for Sustainable Growth","year":2013,"lang":"en","type":"article","venue":"Transportation research circular","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Public transport; Transit-oriented development; Government (linguistics); Business; Strategic planning; Land use; Urban planning; Population; Transport engineering; Transit (satellite); Transportation planning; Environmental planning; Land-use planning; Growth management; Engineering; Geography; Marketing; Civil engineering","score_opus":0.04449737293102077,"score_gpt":0.35725237777629876,"score_spread":0.31275500484527796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2248063402","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95751077,0.00043454708,0.02531796,0.0062796376,0.00009920923,0.0058352896,0.000024706445,0.00013555287,0.004362311],"genre_scores_gemma":[0.9933637,0.0000071175423,0.00049564213,0.00011922892,0.00013568033,0.002073384,0.00034260878,0.000029975878,0.0034327013],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.99684405,0.00015343342,0.00047074133,0.0004736186,0.0010007643,0.0010573701],"domain_scores_gemma":[0.99695945,0.0004216985,0.00008217447,0.00024255022,0.002051274,0.00024282666],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0033193603,0.00016276947,0.00021452241,0.00017461857,0.0026684117,0.00023021702,0.0005379109,0.00015126476,0.00026842504],"category_scores_gemma":[0.00029015983,0.00013260136,0.00016957174,0.0007995144,0.00027831743,0.000813841,0.0000028853365,0.0002505779,0.000029003142],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004876599,0.0007907574,0.29999095,0.0027221667,0.0005478344,0.000109238244,0.3800679,0.00016145509,0.0050615324,0.28776765,0.018229963,0.0040628915],"study_design_scores_gemma":[0.0020088723,0.0001211437,0.3129304,0.00007414287,0.00008242155,1.9363019e-7,0.05787072,0.00007559453,0.008069915,0.022945376,0.5953132,0.00050800585],"about_ca_topic_score_codex":0.009480807,"about_ca_topic_score_gemma":0.0037709698,"teacher_disagreement_score":0.57708323,"about_ca_system_score_codex":0.00015767201,"about_ca_system_score_gemma":0.0009551512,"threshold_uncertainty_score":0.99863},"labels":[],"label_agreement":null},{"id":"W2248145114","doi":"","title":"Applying a European Urban-Style Light RailTransit Design Approach in North America: Recent Experience and Lessons Learned in Canada","year":2013,"lang":"en","type":"article","venue":"Transportation research circular","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transport engineering; Stakeholder; Downtown; Urban design; Procurement; Light rail transit; Service (business); Urban planning; Business; Engineering; Public transport; Geography; Civil engineering; Marketing; Political science","score_opus":0.11783587303928147,"score_gpt":0.3429771330087594,"score_spread":0.22514125996947795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2248145114","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99191046,0.00038094912,0.002688065,0.0014127959,0.000027544695,0.0017321338,0.000010319581,0.000032318952,0.0018054344],"genre_scores_gemma":[0.99831545,0.00049455004,0.00037511683,0.00008105241,0.000025244655,0.00058186316,0.000051205257,0.000019987852,0.000055540586],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99628866,0.0009355829,0.00043795072,0.00059370254,0.0010023557,0.0007417735],"domain_scores_gemma":[0.9991003,0.00012963061,0.000060245962,0.00024086582,0.00019000382,0.000278916],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014214321,0.00015121953,0.00024580947,0.00020873956,0.00035077854,0.00010539276,0.00038551874,0.000054823595,0.00024286652],"category_scores_gemma":[0.0000626092,0.00015730782,0.00003261961,0.0017246528,0.0003822555,0.00050899916,0.000004993302,0.00049763854,0.0000105436875],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028523282,0.0001280187,0.91185844,0.000061766616,0.000008864417,0.00010433605,0.06884024,0.0006945923,0.0006544683,0.0001376327,0.00010509291,0.017378012],"study_design_scores_gemma":[0.0004514613,0.000014124417,0.96489197,0.000024441735,0.000004132707,7.2491574e-8,0.025963066,0.00039199714,0.000060659153,0.00010280869,0.0078834705,0.00021177421],"about_ca_topic_score_codex":0.88461953,"about_ca_topic_score_gemma":0.93561,"teacher_disagreement_score":0.053033542,"about_ca_system_score_codex":0.00038670225,"about_ca_system_score_gemma":0.0010662047,"threshold_uncertainty_score":0.64148265},"labels":[],"label_agreement":null},{"id":"W2250026775","doi":"10.7202/1036214ar","title":"Environnement urbain et marchabilité : l’exemple du quartier des Aubiers à Bordeaux","year":2016,"lang":"fr","type":"article","venue":"Environnement urbain","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Art; Political science","score_opus":0.016358860491007862,"score_gpt":0.2629520136568941,"score_spread":0.2465931531658862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2250026775","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8727236,0.015980959,0.0077191405,0.07361264,0.0019902557,0.0016797762,0.00039306664,0.00022153169,0.025679046],"genre_scores_gemma":[0.9246322,0.0016656045,0.0018507822,0.0011366096,0.0007197653,0.00021218132,0.000050287665,0.00009545722,0.06963715],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99240375,0.001429487,0.0012614198,0.0015309567,0.0013366619,0.0020377494],"domain_scores_gemma":[0.9968827,0.0006623835,0.00040277693,0.0011543622,0.00006210996,0.000835663],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["sts","insufficient_payload"],"category_scores_codex":[0.0039338972,0.00081069925,0.0007097627,0.00016658173,0.0013534591,0.0001388661,0.0010625874,0.00043140244,0.03275807],"category_scores_gemma":[0.0002751872,0.0006749939,0.000551247,0.000527012,0.005277973,0.0011852105,0.00027816504,0.00041344608,0.0013706515],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001248318,0.0021429975,0.6402552,0.00018326427,0.00024229266,0.000053238822,0.017812286,0.000033212862,0.0010613697,0.24597372,0.014177718,0.07793985],"study_design_scores_gemma":[0.0018458739,0.00043015674,0.1517973,0.00023102007,0.0001732041,9.3720894e-7,0.0022656024,0.00004146039,0.00028913261,0.028545383,0.8134193,0.00096065336],"about_ca_topic_score_codex":0.005953777,"about_ca_topic_score_gemma":0.0101301605,"teacher_disagreement_score":0.79924154,"about_ca_system_score_codex":0.0015117798,"about_ca_system_score_gemma":0.0003092306,"threshold_uncertainty_score":0.99994665},"labels":[],"label_agreement":null},{"id":"W2252094501","doi":"10.1016/j.tranpol.2016.01.009","title":"Do people value bicycle sharing? A multilevel longitudinal analysis capturing the impact of bicycle sharing on residential sales in Montreal, Canada","year":2016,"lang":"en","type":"article","venue":"Transport Policy","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Montréal; McGill University","funders":"Ministère des Transports; Natural Sciences and Engineering Research Council of Canada; Portland State University","keywords":"Hedonic pricing; Property value; Multilevel model; Service (business); Business; Value (mathematics); Work (physics); Transport engineering; Residential property; Value of time; Marketing; Public economics; Economics; Geography; Finance; Regional science; Engineering; Econometrics; Computer science; Travel time","score_opus":0.02755335675177552,"score_gpt":0.32991154061244155,"score_spread":0.30235818386066604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2252094501","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99630946,0.00006136234,0.00009331664,0.00075021846,0.000052911055,0.0002771451,0.00021465219,0.000039175444,0.002201744],"genre_scores_gemma":[0.99923015,0.000028117705,0.000009931658,0.000021483795,0.00022798988,0.000017498649,0.000015946816,0.000019959967,0.0004289025],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973913,0.00006331765,0.0006148434,0.00058553513,0.0006365738,0.0007084252],"domain_scores_gemma":[0.998765,0.00015186882,0.00020511127,0.0005910008,0.000070212955,0.00021681045],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006750491,0.00025343813,0.0005048744,0.00041490447,0.00032330147,0.000046187804,0.0008654624,0.00010965246,0.00036677264],"category_scores_gemma":[0.00006549538,0.00015911515,0.00042984117,0.0014378614,0.00023429471,0.00027320988,0.000027016627,0.0001773937,0.0000048805064],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000098375036,0.00008948161,0.99004036,0.000015633916,0.00020147477,0.000020673946,0.0061638523,0.0021513877,0.00010488676,0.0004765504,0.000021938265,0.0006153674],"study_design_scores_gemma":[0.0004960734,0.00002073578,0.9973691,0.000067375055,0.0001522066,1.9895302e-7,0.00036190523,0.00016227589,0.0001335594,0.0010188163,0.000009949564,0.00020781992],"about_ca_topic_score_codex":0.9973457,"about_ca_topic_score_gemma":0.9981072,"teacher_disagreement_score":0.007328706,"about_ca_system_score_codex":0.0005959821,"about_ca_system_score_gemma":0.0010040724,"threshold_uncertainty_score":0.64885277},"labels":[],"label_agreement":null},{"id":"W2252791335","doi":"10.1123/jpah.2014-0483","title":"A Multisite Study of Environmental Correlates of Active Commuting to School in Mexican Children","year":2015,"lang":"en","type":"article","venue":"Journal of Physical Activity and Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Institut pour la Recherche en Santé Publique; Canadian Institutes of Health Research; Secretaría de Salud; National Cancer Institute; Public Health Agency","keywords":"Context (archaeology); Audit; Odds ratio; Demography; Odds; Medicine; Population; Multilevel model; Logistic regression; Environmental health; Psychology; Geography; Business; Internal medicine","score_opus":0.04181708900576737,"score_gpt":0.3649599240294609,"score_spread":0.32314283502369356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2252791335","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992666,0.000032421125,0.000010622406,0.00035573242,0.000023298058,0.00024100751,0.000011883586,0.0000017352879,0.000056691624],"genre_scores_gemma":[0.99985,0.000009360586,0.00003384232,0.000016707376,0.00008315265,6.41474e-7,2.708681e-7,0.000002644093,0.0000034034156],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990197,0.00020918898,0.00023503602,0.00008615241,0.00031671516,0.00013321871],"domain_scores_gemma":[0.99918485,0.00009193867,0.0003829428,0.00005881415,0.00002754802,0.0002539005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007814387,0.000059629143,0.00036355839,0.00006030775,0.000082174054,0.0000068067106,0.00010931996,0.000024962155,0.0000049083474],"category_scores_gemma":[0.000046400186,0.000049388065,0.000046150803,0.00013566867,0.00010133968,0.00028705344,0.000027558073,0.00027045867,3.2113232e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018532183,0.0030951567,0.9405816,0.0000074180352,0.000019170957,8.048635e-7,0.040389095,0.00002087171,0.00029536913,0.000016142165,0.0000043169352,0.015384731],"study_design_scores_gemma":[0.00079115346,0.0011079924,0.98683405,0.000039882907,0.000010782402,2.353009e-7,0.0106705865,0.000023091785,0.0002852101,0.00019314497,0.0000030623714,0.000040827963],"about_ca_topic_score_codex":0.013994253,"about_ca_topic_score_gemma":0.0063247327,"teacher_disagreement_score":0.04625243,"about_ca_system_score_codex":0.00012559269,"about_ca_system_score_gemma":0.00014765053,"threshold_uncertainty_score":0.99257165},"labels":[],"label_agreement":null},{"id":"W2252859594","doi":"10.3390/ijerph13020179","title":"Barriers to Walking: An Investigation of Adults in Hamilton (Ontario, Canada)","year":2016,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University; Western University","funders":"","keywords":"Human factors and ergonomics; Environmental health; Occupational safety and health; Injury prevention; Suicide prevention; Poison control; Geography; Gerontology; Psychology; Demography; Medicine; Sociology","score_opus":0.048452539860711644,"score_gpt":0.35469675862486355,"score_spread":0.3062442187641519,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2252859594","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9830935,0.00005726238,0.000020500407,0.016382786,0.00012323585,0.00009830355,0.000024807376,9.87546e-7,0.00019859502],"genre_scores_gemma":[0.99924535,0.0001870946,0.00008790981,0.0002826188,0.00008603177,0.0000016238987,0.0000027366314,0.000002893161,0.00010376891],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977009,0.00027006486,0.00034988817,0.0001134385,0.0012997122,0.00026595828],"domain_scores_gemma":[0.9986388,0.00012933285,0.00012584007,0.000057283414,0.00009844903,0.00095029944],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029301345,0.000043215157,0.000100652476,0.00021351446,0.00010515183,0.000031341664,0.00032155743,0.000030048192,0.0005485111],"category_scores_gemma":[0.0002597325,0.000032648833,0.000016022941,0.00009755773,0.00025832804,0.00051795796,0.00002349443,0.00015457871,4.817576e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008545842,0.000053024076,0.9626781,0.0000028456423,0.000007298229,0.00000790896,0.010676473,2.3913202e-7,0.0003388157,0.00022411445,0.00014934425,0.025776388],"study_design_scores_gemma":[0.0003826862,0.00023293837,0.98512816,0.00006487697,2.5911217e-7,8.9304325e-7,0.004658403,9.1734876e-7,0.00010940622,0.00077973667,0.008606607,0.000035094363],"about_ca_topic_score_codex":0.7509494,"about_ca_topic_score_gemma":0.974427,"teacher_disagreement_score":0.22347765,"about_ca_system_score_codex":0.0016961328,"about_ca_system_score_gemma":0.0040277936,"threshold_uncertainty_score":0.7145133},"labels":[],"label_agreement":null},{"id":"W2253389798","doi":"","title":"Enquête Ménages Déplacements, Laval / Pays de Laval et de Loiron - 2011","year":2011,"lang":"fr","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Residence; Sociology; Demography; Art","score_opus":0.04019585655384567,"score_gpt":0.30720572595598117,"score_spread":0.2670098694021355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2253389798","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7117432,0.003014289,0.0016287173,0.0026251497,0.0010396028,0.00030188542,0.000041147483,0.0001430312,0.279463],"genre_scores_gemma":[0.85671335,0.0021474413,0.0032915073,0.0010025845,0.0004053753,0.000016556738,0.000012552965,0.000024489707,0.13638617],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99736255,0.00043557648,0.00037565816,0.00046738773,0.0003863223,0.0009725039],"domain_scores_gemma":[0.9990272,0.000088007335,0.0001344867,0.00030942014,0.000060918555,0.00037996008],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001891826,0.0002668043,0.0002731465,0.00004679602,0.00032231017,0.00008174857,0.0005502031,0.00030880407,0.027064241],"category_scores_gemma":[0.000033532793,0.0002506042,0.00019102442,0.00018014254,0.0007133212,0.00071796885,0.000065337044,0.00033020187,0.00069214497],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000071629926,0.0006189084,0.9161996,0.000068367626,0.00006392677,0.000042664502,0.020175353,0.0000015829569,0.00028680573,0.028782122,0.029948227,0.003740778],"study_design_scores_gemma":[0.00070044224,0.00018556982,0.73662907,0.000057912966,0.0001943382,0.0000021822282,0.0030743633,0.000060201804,0.0058444366,0.014386929,0.23827305,0.000591473],"about_ca_topic_score_codex":0.11761496,"about_ca_topic_score_gemma":0.04568371,"teacher_disagreement_score":0.20832483,"about_ca_system_score_codex":0.00024868586,"about_ca_system_score_gemma":0.0006287287,"threshold_uncertainty_score":0.99999464},"labels":[],"label_agreement":null},{"id":"W2254958052","doi":"","title":"Long-Run Health Effects of Sports And Exercise In Canada","year":2015,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mental health; Physical activity; Matching (statistics); Panel data; Psychology; Gerontology; Environmental health; Demographic economics; Medicine; Physical therapy; Economics; Econometrics; Psychiatry","score_opus":0.026553743692434188,"score_gpt":0.329338854736422,"score_spread":0.3027851110439878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2254958052","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9845696,0.001797733,1.7129959e-7,0.00030918454,0.00035393753,0.0010184174,0.000024310948,0.000008429831,0.0119182225],"genre_scores_gemma":[0.98098797,0.018370263,0.0000461648,0.000022174743,0.0000559904,0.00005127124,0.000018245903,0.000016793772,0.00043113824],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99733055,0.0002963521,0.0006094297,0.00061291974,0.00045830457,0.0006924615],"domain_scores_gemma":[0.9985261,0.00030893917,0.00021517182,0.0004780928,0.000095565294,0.00037613348],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003598953,0.00016959965,0.0006575268,0.0002368393,0.00010302204,0.000039733248,0.00047482798,0.00021749598,0.000030913223],"category_scores_gemma":[0.00026501642,0.00018813933,0.000050937106,0.00016510271,0.00040998321,0.0000803194,0.0002633078,0.0008902999,2.321507e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040987125,0.000053518597,0.8389782,0.0007872397,0.0000070619603,0.000054704185,0.0026528747,0.00018544977,4.6265396e-7,0.000026979531,0.00006354253,0.15714902],"study_design_scores_gemma":[0.0004541832,0.000022540185,0.99177146,0.0012429097,0.0000041861686,1.7552563e-7,0.0023879288,0.00013988126,0.0000208901,0.0026392385,0.0010631344,0.00025349052],"about_ca_topic_score_codex":0.92450607,"about_ca_topic_score_gemma":0.99077106,"teacher_disagreement_score":0.15689553,"about_ca_system_score_codex":0.0030440358,"about_ca_system_score_gemma":0.016496662,"threshold_uncertainty_score":0.9890789},"labels":[],"label_agreement":null},{"id":"W2256264772","doi":"10.1016/j.jtrangeo.2016.01.006","title":"Families and transportation: Moving towards multimodality and altermobility?","year":2016,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":49,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Multimodality; Dependency (UML); Modal; Everyday life; Sociology; Qualitative research; Geography; Political science; Engineering; Social science; Computer science","score_opus":0.013358725616343806,"score_gpt":0.2735886942894395,"score_spread":0.26022996867309567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2256264772","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99513453,0.00096076995,0.0014697007,0.00149802,0.00021000508,0.00015256749,0.00005603871,0.000029746809,0.0004886289],"genre_scores_gemma":[0.9968806,0.0018703968,0.0009836294,0.00007058238,0.0001528631,0.0000028085499,0.000002122337,0.000009013053,0.000028001412],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982545,0.00007532553,0.0006625111,0.00024843073,0.00047715718,0.00028210742],"domain_scores_gemma":[0.9989749,0.000100244324,0.0002719926,0.00013497382,0.00023057038,0.0002873019],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012378771,0.00016235131,0.00036371825,0.0002022943,0.00027248263,0.000032466116,0.00019731435,0.00011788632,0.00010824638],"category_scores_gemma":[0.000024754181,0.00010975741,0.00025021943,0.00025382842,0.00088581914,0.0009247458,0.0000025571528,0.00015170108,2.8807685e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000076800774,0.00006971987,0.96121544,0.00004737757,0.000050444512,0.00002518457,0.0039153486,5.016707e-7,0.00029423184,0.00018356876,0.0000067309293,0.034114663],"study_design_scores_gemma":[0.0007766009,0.00006798691,0.9913561,0.00009095546,0.00010408593,0.0000018083973,0.000890892,5.091681e-7,0.00017831364,0.0025308211,0.0038466996,0.00015527183],"about_ca_topic_score_codex":0.0014272156,"about_ca_topic_score_gemma":0.00256521,"teacher_disagreement_score":0.033959392,"about_ca_system_score_codex":0.000018419052,"about_ca_system_score_gemma":0.00012977756,"threshold_uncertainty_score":0.44757771},"labels":[],"label_agreement":null},{"id":"W2256385906","doi":"10.6133/apjcn.2014.23.2.08","title":"The association between the built environment and dietary intake - a systematic review.","year":2014,"lang":"en","type":"review","venue":"PubMed","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":62,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Pfizer Foundation","keywords":"Neighbourhood (mathematics); MEDLINE; Association (psychology); Environmental health; Built environment; English language; Gerontology; Population; Medicine; Psychology; Biology; Ecology","score_opus":0.0568586327027018,"score_gpt":0.30493598667908145,"score_spread":0.24807735397637964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2256385906","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000009348178,0.99137133,0.0000027721112,0.0010307007,0.00016415624,0.0059424555,0.000019887215,0.000025378276,0.0014339617],"genre_scores_gemma":[0.00035109185,0.99269277,0.0000012847454,0.00010897118,0.00039364796,0.004449675,0.000024116705,0.000013383815,0.0019650757],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99648833,0.0014965612,0.0007585433,0.0002727627,0.000589928,0.00039385748],"domain_scores_gemma":[0.99674565,0.001760842,0.0009096829,0.00046188183,0.0000196062,0.00010233828],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009247237,0.00020621973,0.001292955,0.000017155045,0.00076519063,0.00016473299,0.0006809399,0.0001836621,0.000008005743],"category_scores_gemma":[0.00093913754,0.00009397949,0.00033561108,0.00016640144,0.00019224561,0.0000810627,0.00005626847,0.00031486657,0.000026688946],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[2.4971536e-7,0.0000071960717,0.003680172,0.31239223,0.00026084427,2.8032127e-7,0.00014459551,2.4725741e-9,8.529316e-11,0.000052583415,0.0007296149,0.6827322],"study_design_scores_gemma":[0.000020380658,0.0000018817578,0.016490532,0.023200251,0.003557389,7.8967965e-8,0.00002190589,3.204417e-8,2.4935487e-9,0.00016591461,0.95641345,0.00012816687],"about_ca_topic_score_codex":0.00020016164,"about_ca_topic_score_gemma":0.00035912378,"teacher_disagreement_score":0.9556838,"about_ca_system_score_codex":0.00033309692,"about_ca_system_score_gemma":0.000051426287,"threshold_uncertainty_score":0.5885305},"labels":[],"label_agreement":null},{"id":"W2257932125","doi":"","title":"The Effects of a Free Bus Program on Travel Behaviour of Older Adults: A Case Study of a Canadian Suburban Municipality","year":2016,"lang":"en","type":"article","venue":"Transportation Research Board 95th Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Public transport; Incentive; Context (archaeology); Population; Business; Travel behavior; Downtown; Popularity; Subsidy; Gerontology; Geography; Medicine; Psychology; Environmental health; Political science; Engineering; Economics; Transport engineering","score_opus":0.05125105085053399,"score_gpt":0.3980101575825676,"score_spread":0.3467591067320336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2257932125","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99039674,0.00016350092,0.000013833194,0.0007654268,0.00015772456,0.007021323,0.0006314104,0.0000728646,0.00077719276],"genre_scores_gemma":[0.9978876,0.00030437604,0.0001651418,0.000008480571,0.00007549362,0.001033825,0.000045011144,0.00005795652,0.0004221243],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.986996,0.0028489288,0.0020158566,0.0009824649,0.0053218105,0.001834935],"domain_scores_gemma":[0.98656946,0.0044031204,0.0005345651,0.0013033156,0.0061961035,0.0009934283],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.010445228,0.00037784435,0.0007826515,0.0020111052,0.0015875046,0.000069827016,0.001629401,0.00036984705,0.0001367416],"category_scores_gemma":[0.0019084791,0.0002715363,0.0003435866,0.0046390374,0.0032104906,0.0005399028,0.000014595724,0.0010473016,0.000005156839],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023289989,0.004436996,0.7887658,0.0010768138,0.00019758842,0.0009511985,0.18213314,0.00000795968,0.0007447635,0.0030411184,0.000520541,0.015795121],"study_design_scores_gemma":[0.003784135,0.0029737265,0.8330961,0.0008358876,0.00008144819,2.566469e-7,0.15514125,0.0000042253637,0.0030502127,0.0002986168,0.0004692759,0.00026490525],"about_ca_topic_score_codex":0.9267421,"about_ca_topic_score_gemma":0.980564,"teacher_disagreement_score":0.05382192,"about_ca_system_score_codex":0.00024872363,"about_ca_system_score_gemma":0.0019083901,"threshold_uncertainty_score":0.99997365},"labels":[],"label_agreement":null},{"id":"W2259158821","doi":"10.3141/2565-05","title":"Life-Oriented Approach of Modeling Commute Mode Loyalty and Transition Behavior","year":2016,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Loyalty; Renting; Mode choice; Transition (genetics); Mode (computer interface); Demographic economics; Travel behavior; Car ownership; Public transport; Economics; Econometrics; Business; Transport engineering; Marketing; Engineering; Computer science","score_opus":0.1219613886615105,"score_gpt":0.4163806542834531,"score_spread":0.2944192656219426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2259158821","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97184247,0.00022884173,0.022329923,0.0038616734,0.00023664237,0.0010709853,0.00014395909,0.000028488528,0.0002569931],"genre_scores_gemma":[0.9961577,0.0012318782,0.0020483187,0.000029513074,0.00016105454,0.00006599655,0.000015029788,0.000036311092,0.00025417324],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9917288,0.0016693051,0.00153481,0.00043150992,0.003800534,0.0008350647],"domain_scores_gemma":[0.99394155,0.00071083696,0.0004346717,0.00043275577,0.0037686466,0.00071155076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00618729,0.00022254343,0.0005396333,0.00070833776,0.0009969064,0.00007454931,0.0009331669,0.00026048912,0.00020315383],"category_scores_gemma":[0.00030085735,0.00014723738,0.00037364266,0.0015526718,0.0018280589,0.0011452091,0.0000057789834,0.0012208319,0.000002731571],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003007784,0.0012160576,0.92747337,0.00049493246,0.00021959344,0.000043018186,0.033245225,0.0013336153,0.00828782,0.011551245,0.00085579057,0.012271532],"study_design_scores_gemma":[0.0036218455,0.0005464803,0.97047293,0.00070049055,0.00021322763,2.2646292e-7,0.013017656,0.0011052017,0.0012153629,0.0060664723,0.0026563955,0.00038370845],"about_ca_topic_score_codex":0.033479366,"about_ca_topic_score_gemma":0.05460003,"teacher_disagreement_score":0.042999547,"about_ca_system_score_codex":0.00018881039,"about_ca_system_score_gemma":0.0011768874,"threshold_uncertainty_score":0.9729568},"labels":[],"label_agreement":null},{"id":"W2259825181","doi":"10.5539/jsd.v9n1p110","title":"Cycling for Sustainable Transportation in Urban Ghana: Exploring Attitudes and Perceptions among Adults with Different Cycling Experience","year":2016,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cycling; Perception; Promotion (chess); Context (archaeology); Population; Psychological intervention; Psychology; Sustainable transport; Demography; Social psychology; Environmental health; Gerontology; Geography; Medicine; Ecology; Sustainability; Sociology; Political science","score_opus":0.020500930805696413,"score_gpt":0.2761948214523024,"score_spread":0.25569389064660597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2259825181","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952269,0.00014055666,0.0037498162,0.00021113052,0.000052976957,0.0005337016,6.8680436e-7,0.000017579625,0.0000666263],"genre_scores_gemma":[0.9973869,0.00012789207,0.00114386,0.000009919213,0.00009411226,0.0001394838,0.000001694658,0.000014352529,0.0010818077],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99807507,0.00004244504,0.0006214702,0.00024630886,0.0003956603,0.0006190244],"domain_scores_gemma":[0.9987125,0.00013734054,0.00028456998,0.000079794634,0.0006001683,0.00018564766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086563913,0.00016100873,0.0002873377,0.00027192032,0.0006158769,0.00010910907,0.0001888345,0.00006556309,0.000029009336],"category_scores_gemma":[0.0001253724,0.00010801227,0.000056643323,0.00027669818,0.00019068341,0.0020409576,0.000012130308,0.00012190715,1.4255859e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021638263,0.00010558086,0.8851795,0.00021565979,0.000018572928,0.00011666782,0.111779876,0.000014572161,0.000049698458,0.0009403336,0.000007627482,0.0013555319],"study_design_scores_gemma":[0.00091392547,0.00006210621,0.7117597,0.00039306615,0.000012356678,4.3985636e-7,0.28570235,0.000001777343,0.00037985505,0.00021850214,0.0004090221,0.00014694473],"about_ca_topic_score_codex":0.0004645069,"about_ca_topic_score_gemma":0.0027294958,"teacher_disagreement_score":0.17392246,"about_ca_system_score_codex":0.0006681402,"about_ca_system_score_gemma":0.0004318262,"threshold_uncertainty_score":0.47368896},"labels":[],"label_agreement":null},{"id":"W2262986853","doi":"","title":"Walk to transit or drive to transit","year":2011,"lang":"en","type":"article","venue":"eSpace (Curtin University)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Interurban; Transit (satellite); Public transport; Transport engineering; Investment (military); Business; Urban transit; Train; Park and ride; Geography; Engineering; Political science; Politics","score_opus":0.04190793930184183,"score_gpt":0.2562010021861471,"score_spread":0.21429306288430527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2262986853","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85713387,0.000008003975,0.008959534,0.0043135667,0.00023156259,0.0005464591,0.000021306028,0.00022302275,0.12856267],"genre_scores_gemma":[0.94842815,0.000007834261,0.0018532906,0.00034151782,0.00008293492,0.0000010221022,0.0000018178453,0.000012803759,0.049270622],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985375,0.00011125299,0.0001295613,0.0004396007,0.00029241273,0.00048971473],"domain_scores_gemma":[0.9989933,0.00004394041,0.00004274071,0.0002613213,0.00011017643,0.0005485611],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00024624213,0.00015989576,0.00021698284,0.00025038267,0.00045846714,0.00003395313,0.0006294817,0.00012479612,0.0024234015],"category_scores_gemma":[0.000039484123,0.00016140545,0.00012565496,0.0014057235,0.0001568413,0.00039940837,0.000028464072,0.00014506327,0.00024857846],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003856391,0.00081796315,0.15493792,0.00006491178,0.00017737436,0.0013172873,0.7762762,0.000071193994,0.0023988686,0.040719245,0.0073856814,0.011976971],"study_design_scores_gemma":[0.0008693538,0.00033112033,0.11922259,0.000056726876,0.00013869781,4.7385367e-7,0.03665433,0.0000036409483,0.0031524375,0.00021170522,0.8386651,0.0006937733],"about_ca_topic_score_codex":0.004601744,"about_ca_topic_score_gemma":0.09340183,"teacher_disagreement_score":0.83127946,"about_ca_system_score_codex":0.00014335761,"about_ca_system_score_gemma":0.0002075617,"threshold_uncertainty_score":0.99848855},"labels":[],"label_agreement":null},{"id":"W2263861708","doi":"10.1016/j.tra.2016.07.003","title":"The cost of equity: Assessing transit accessibility and social disparity using total travel cost","year":2016,"lang":"en","type":"article","venue":"Transportation Research Part A Policy and Practice","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":36,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Disadvantaged; Public transport; Decile; Equity (law); Social equality; Business; Socioeconomic status; Social cost; Transport engineering; Public economics; Economics; Economic growth; Political science; Engineering; Population; Sociology; Demography; Mathematics","score_opus":0.2961115693460044,"score_gpt":0.5452830527851249,"score_spread":0.2491714834391205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2263861708","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96739864,0.00022988289,0.0037201426,0.02257736,0.00007473891,0.0008901198,0.0001982234,0.000027495447,0.0048834044],"genre_scores_gemma":[0.9987357,0.000515908,0.00013867278,0.000083949635,0.00026479457,0.000031141008,0.000009503604,0.000010105986,0.00021021727],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99633795,0.0012758375,0.0004662849,0.00037013702,0.0009373379,0.00061246107],"domain_scores_gemma":[0.99427074,0.00467414,0.00020461703,0.00017117284,0.00047534466,0.00020398441],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.008189349,0.00012993517,0.00022955716,0.000088593755,0.0024714388,0.00032626913,0.00022506186,0.00015167554,0.000057243673],"category_scores_gemma":[0.0014442195,0.00008764048,0.00006435487,0.00053257594,0.0024181204,0.0021858527,0.000015512629,0.0003260559,0.0000010718652],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003069337,0.00084624544,0.4056727,0.0005833131,0.00022420625,0.000029281518,0.073509604,0.000005976225,0.010966485,0.17384167,0.000291851,0.33095935],"study_design_scores_gemma":[0.00092131173,0.000041813808,0.96120524,0.000075804965,0.00007284387,0.0000010334647,0.009991566,0.00003682307,0.00045526365,0.004817518,0.022188446,0.00019235146],"about_ca_topic_score_codex":0.015942033,"about_ca_topic_score_gemma":0.014644938,"teacher_disagreement_score":0.5555325,"about_ca_system_score_codex":0.00010663312,"about_ca_system_score_gemma":0.00087244477,"threshold_uncertainty_score":0.9988272},"labels":[],"label_agreement":null},{"id":"W2264538047","doi":"10.25916/sut.26292211","title":"Putting the public interest back into public transport: a report to the Victorian community","year":2024,"lang":"en","type":"article","venue":"Swinburne Research Bank (Swinburne University of Technology)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Public interest; Public relations; Political science; Law","score_opus":0.09933432319089253,"score_gpt":0.3559749449141381,"score_spread":0.2566406217232456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2264538047","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6707545,0.00092643546,0.00078042666,0.30613542,0.00050348527,0.0011190512,0.00002404117,0.0005394211,0.019217238],"genre_scores_gemma":[0.9937008,0.00019174317,0.00066192436,0.000058389953,0.00024121349,0.0000069790585,0.0000250742,0.00002716337,0.0050867302],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.995177,0.0010322861,0.00053143397,0.0007063785,0.0012707231,0.0012821807],"domain_scores_gemma":[0.9958367,0.0007240436,0.00014256306,0.0018698035,0.001052645,0.0003742715],"candidate_categories":["sts","research_integrity","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.012935611,0.00027248147,0.00041410545,0.0013346366,0.004528977,0.0003331911,0.0052199033,0.0004899076,0.0013425644],"category_scores_gemma":[0.0016421848,0.00020527215,0.00032427005,0.007424464,0.0045734206,0.0009513312,0.00083088345,0.0033563427,0.00019160818],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019950289,0.0014610098,0.37113163,0.00062281714,0.001395583,0.002448444,0.10841933,0.0000051736465,0.002606719,0.3248372,0.052069984,0.1348026],"study_design_scores_gemma":[0.00022358097,0.00013298394,0.012735809,0.00017344001,0.000044439363,0.00001156239,0.022994613,0.000018798226,0.00017123514,0.019273246,0.9440182,0.0002021243],"about_ca_topic_score_codex":0.009916792,"about_ca_topic_score_gemma":0.13588169,"teacher_disagreement_score":0.89194816,"about_ca_system_score_codex":0.0006136078,"about_ca_system_score_gemma":0.0014707248,"threshold_uncertainty_score":0.99957037},"labels":[],"label_agreement":null},{"id":"W2264658668","doi":"","title":"How do social housing locations impact transit use in family households in the cities of Vancouver and Burnaby","year":2012,"lang":"en","type":"article","venue":"Summit (Simon Fraser University)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geography; Transit (satellite); Socioeconomics; Transport engineering; Public transport; Economics; Engineering","score_opus":0.0346093481471656,"score_gpt":0.25191149904875226,"score_spread":0.21730215090158667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2264658668","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971257,0.00013882248,0.00012736433,0.00020197289,0.00007953876,0.00015901668,0.000030277484,0.000018213776,0.002119113],"genre_scores_gemma":[0.99954563,0.000056521967,0.000023622906,0.000036961177,0.00005884818,3.6710938e-7,0.0000032666599,0.0000058433266,0.00026892652],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99906385,0.00018497763,0.00010835154,0.00013784377,0.00021548847,0.00028950674],"domain_scores_gemma":[0.9996216,0.00010467998,0.00006343254,0.00010872721,0.000041356194,0.000060187125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003729194,0.00009829055,0.00016393582,0.00018983363,0.00026280325,0.000072641305,0.00023069182,0.00011051347,0.00001485971],"category_scores_gemma":[0.000016628706,0.000086380285,0.00007428852,0.0008194346,0.00038553734,0.0014810524,0.000014090674,0.00016442587,3.2148847e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028219578,0.00009185848,0.9928354,0.000009901962,0.000008705991,0.00000814473,0.0051930104,0.0000130278995,0.0000054997236,0.00068607664,0.0007223907,0.0003977665],"study_design_scores_gemma":[0.000439716,0.00001248748,0.7965707,0.000016027827,0.000029988809,4.6223841e-10,0.19118427,0.0000029980063,0.000024629708,0.00015611258,0.011444926,0.00011809876],"about_ca_topic_score_codex":0.01168848,"about_ca_topic_score_gemma":0.6507917,"teacher_disagreement_score":0.63910323,"about_ca_system_score_codex":0.00012947345,"about_ca_system_score_gemma":0.00009943112,"threshold_uncertainty_score":0.9948928},"labels":[],"label_agreement":null},{"id":"W226653053","doi":"","title":"Balanced Transport and Sustainable Urbanism: Enhancing Mobility and Accessibility through Institutional, Demand Management, and Land-Use Initiatives","year":2006,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Beijing; Car ownership; Traffic congestion; Urban sprawl; Business; Sustainable transport; Sustainability; Population; Urban planning; Toll; Environmental planning; Natural resource economics; Economic growth; Public transport; China; Transport engineering; Geography; Economics; Engineering; Civil engineering","score_opus":0.01465583961308025,"score_gpt":0.24673667065528668,"score_spread":0.23208083104220642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W226653053","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96680987,0.001069919,0.00073347584,0.00021044756,0.000034827408,0.0006329724,0.00057460886,0.0002249917,0.029708888],"genre_scores_gemma":[0.9972556,0.00021181551,0.000756047,0.00018185427,0.000086026725,0.00003109511,0.00026112827,0.000022388787,0.0011940107],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997666,0.00012691766,0.0004918449,0.0007622682,0.0003455684,0.0006074042],"domain_scores_gemma":[0.9991584,0.00018990981,0.00012626895,0.00023876168,0.00005737059,0.0002292883],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.0005782337,0.0002919161,0.00034081595,0.00007901234,0.0010205308,0.0014914572,0.00021966203,0.00017062288,0.000094725656],"category_scores_gemma":[0.00010011375,0.00026723044,0.000067101704,0.0004016525,0.0010571391,0.016142042,0.00014104767,0.00026767023,0.0000061645987],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009500239,0.00016782488,0.97864586,0.0002792572,0.00002225728,0.00004685065,0.0002976486,0.0000012639464,0.000009258271,0.020142116,0.000035843863,0.00025681846],"study_design_scores_gemma":[0.0006408474,0.00002312228,0.910009,0.000057364963,0.000034321856,0.0000012244271,0.0005417705,0.000005586139,0.0001815479,0.07259149,0.015598672,0.00031504236],"about_ca_topic_score_codex":0.00051006064,"about_ca_topic_score_gemma":0.00037602877,"teacher_disagreement_score":0.06863685,"about_ca_system_score_codex":0.000046598674,"about_ca_system_score_gemma":0.00012084322,"threshold_uncertainty_score":0.999978},"labels":[],"label_agreement":null},{"id":"W2266906801","doi":"","title":"AN EVALUATION OF GOOGLE STREET VIEW AS AN ENVIRONMENTAL DATA SOURCE FOR CONDUCTING PARK AUDITS","year":2014,"lang":"en","type":"article","venue":"Journal of undergraduate research in Alberta","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Public open space; Walkability; Audit; Recreation; Context (archaeology); Reliability (semiconductor); Public health; Environmental health; Geography; Business; Level design; Environmental resource management; Physical activity; Computer science; Medicine; Environmental science; Accounting; Marketing; Physical therapy; Nursing","score_opus":0.2929530180085192,"score_gpt":0.48342331121552784,"score_spread":0.19047029320700865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2266906801","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99019194,0.00017721593,0.00022903692,0.008105365,0.00011656706,0.00043441384,0.0000151047625,0.0000029156379,0.0007274544],"genre_scores_gemma":[0.9989,0.00014440958,0.00039674988,0.00001753705,0.00033178524,0.000005419611,0.00005797376,0.000013555838,0.00013258254],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99455464,0.002224042,0.00061466446,0.00029852625,0.0018931774,0.00041496856],"domain_scores_gemma":[0.9973606,0.0011745056,0.0003967168,0.0005043605,0.00030034434,0.0002634656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.023964327,0.0000969722,0.0002765642,0.00018061092,0.00031493316,0.00008851195,0.0011012906,0.00008747381,0.00005346882],"category_scores_gemma":[0.0017351849,0.00008497683,0.000062888095,0.00028791992,0.0003901098,0.00147714,0.000058523794,0.0003515645,0.0000035828048],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00060460356,0.00333638,0.68517345,0.00027021987,0.00019689508,0.0000071391387,0.007674993,0.0010248697,0.008507011,0.0149156675,0.0014600022,0.2768288],"study_design_scores_gemma":[0.010548486,0.0047608833,0.06337942,0.0011283789,0.00045806638,0.00001102917,0.024844361,0.066864386,0.0049988604,0.76578045,0.05612359,0.0011020971],"about_ca_topic_score_codex":0.011433635,"about_ca_topic_score_gemma":0.055783007,"teacher_disagreement_score":0.7508648,"about_ca_system_score_codex":0.00021248368,"about_ca_system_score_gemma":0.00065099954,"threshold_uncertainty_score":0.9951493},"labels":[],"label_agreement":null},{"id":"W2268005086","doi":"","title":"Satisfaction with Life along the Rural-Urban Continuum: Key Indicators in the Halifax Region of Canada","year":2014,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Feeling; Socioeconomics; Geography; Quality of life (healthcare); Life satisfaction; Nova scotia; Psychology; Demography; Sociology; Social psychology","score_opus":0.009400127840155259,"score_gpt":0.22711359336990403,"score_spread":0.21771346552974877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2268005086","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9730793,0.0000255223,0.00008062219,0.0047446797,0.00007710245,0.00020734548,0.0000012775024,0.000012383651,0.021771725],"genre_scores_gemma":[0.9988896,0.0000048131114,0.000009616676,0.00054673525,0.000078858204,0.0000074729437,0.0000019586198,0.0000032476294,0.0004576701],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989277,0.0002258983,0.0001821704,0.00010202828,0.00038522788,0.00017697246],"domain_scores_gemma":[0.9994263,0.00018296223,0.00012004477,0.0001885586,0.00003140135,0.000050719937],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008408741,0.00006431582,0.00010721834,0.00003382634,0.00026061514,0.000029912617,0.00025184787,0.00004092102,0.00006843009],"category_scores_gemma":[0.00007485457,0.00003032138,0.000023060238,0.0004456668,0.00024970953,0.00012766122,0.0000051368756,0.00011245785,5.217136e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010205899,0.000008039637,0.98426783,0.0000037244943,0.000004414944,7.675869e-7,0.0053277295,0.000001079362,0.0000019826425,0.003795371,0.0058437986,0.00073504867],"study_design_scores_gemma":[0.0001327952,0.0000132028135,0.9834655,0.00001115728,0.000008353391,1.3894044e-7,0.008878553,0.0000034477305,0.00003297729,0.00021891663,0.00718137,0.0000535977],"about_ca_topic_score_codex":0.96639544,"about_ca_topic_score_gemma":0.99883914,"teacher_disagreement_score":0.03244373,"about_ca_system_score_codex":0.00004666684,"about_ca_system_score_gemma":0.00040635766,"threshold_uncertainty_score":0.20044674},"labels":[],"label_agreement":null},{"id":"W2268030867","doi":"","title":"EvolMob- Evolution de la mobilité des jeunes : réponse à la crise ou tendance de fond ? Analyse des enquêtes ménages déplacementsde la région grenobloise de 2002 et 2010","year":2014,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.029442330717561353,"score_gpt":0.35118987895673315,"score_spread":0.3217475482391718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2268030867","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9715262,0.0028540487,0.00057606236,0.00059508835,0.00021068765,0.00093320425,0.0001260327,0.00010153732,0.02307714],"genre_scores_gemma":[0.95794207,0.026215894,0.006176419,0.00006722488,0.00030034894,0.00046740248,0.00003981274,0.00009123327,0.00869959],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98645645,0.008107986,0.0011335692,0.0015952721,0.00055273535,0.002154008],"domain_scores_gemma":[0.9920926,0.005187048,0.00046562796,0.0011565496,0.0003312076,0.00076693523],"candidate_categories":["metaepi_narrow","sts","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.022406548,0.0006770756,0.00090520986,0.0005480804,0.001066725,0.00059905846,0.0015448114,0.0013090201,0.00038707582],"category_scores_gemma":[0.0031661065,0.00074611086,0.0005138318,0.0005568192,0.0070488984,0.0007774944,0.0005315735,0.002469197,0.000026026892],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045694498,0.000891556,0.9326456,0.00061669986,0.00019016457,0.000059421014,0.008325093,0.012162756,0.0012219292,0.0017024822,0.00023773409,0.041489612],"study_design_scores_gemma":[0.0009944292,0.00014487118,0.91961956,0.0007808125,0.00013391806,0.000017735649,0.005744262,0.010657987,0.0005540124,0.044929948,0.015563919,0.0008585331],"about_ca_topic_score_codex":0.020221097,"about_ca_topic_score_gemma":0.036976982,"teacher_disagreement_score":0.043227468,"about_ca_system_score_codex":0.004828042,"about_ca_system_score_gemma":0.0030251085,"threshold_uncertainty_score":0.9999875},"labels":[],"label_agreement":null},{"id":"W2268221158","doi":"10.3917/flux.101.0111","title":"Contrat d’axe et Transit-Oriented Development  : quel renouvellement de l’action publique en matière de mobilité et d’aménagement ? (Point de vue d’acteurs)","year":2015,"lang":"fr","type":"article","venue":"Flux","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministère des Transports","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.03511760825797396,"score_gpt":0.30706388407317553,"score_spread":0.2719462758152016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2268221158","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8440962,0.0011505653,0.043191627,0.034062557,0.0018327073,0.0017957779,0.00009353014,0.00028283548,0.07349424],"genre_scores_gemma":[0.95602375,0.00016595813,0.009177288,0.0033667807,0.0004067091,0.00026798373,0.0001777608,0.000049231923,0.030364517],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.9947601,0.0014709214,0.0008752937,0.00070379575,0.00095402,0.0012358911],"domain_scores_gemma":[0.9979067,0.00020350309,0.00023635526,0.00041042548,0.00047752704,0.0007655122],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008612423,0.00043484662,0.00045790506,0.00012328337,0.00036425405,0.00022500729,0.0005092112,0.0004261509,0.0019967887],"category_scores_gemma":[0.00031828045,0.0004527231,0.00017478276,0.0005667637,0.00023991187,0.0010113372,0.00006819111,0.00061798556,0.00011210033],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005443153,0.0039851316,0.15498663,0.0008295451,0.00054299814,0.00017126267,0.657058,0.00066819915,0.0017611722,0.06191643,0.08527844,0.03225786],"study_design_scores_gemma":[0.0019517898,0.00023957482,0.10226343,0.00023913805,0.00017475378,0.0000068333707,0.043609623,0.0005038781,0.0034366832,0.00767543,0.83918375,0.0007151293],"about_ca_topic_score_codex":0.017346239,"about_ca_topic_score_gemma":0.07181196,"teacher_disagreement_score":0.7539053,"about_ca_system_score_codex":0.004615879,"about_ca_system_score_gemma":0.0053271907,"threshold_uncertainty_score":0.99979246},"labels":[],"label_agreement":null},{"id":"W2268523232","doi":"10.1111/cag.12256","title":"Transit‐oriented development and gentrification along Metro Vancouver's low‐income SkyTrain corridor","year":2016,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":97,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Gentrification; Subsidy; Low income; Renting; Immigration; Transit-oriented development; Transit (satellite); Economic growth; Subsidized housing; Geography; Business; Demographic economics; Public housing; Political science; Public transport; Transport engineering; Economics; Engineering","score_opus":0.008549330575497293,"score_gpt":0.2075144568381719,"score_spread":0.19896512626267462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2268523232","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99374235,0.0012749665,0.00011892276,0.0013724044,0.0011755639,0.0005998689,0.00021258603,0.00017470129,0.0013286679],"genre_scores_gemma":[0.9979207,0.0005888593,0.00037158097,0.0002465197,0.00016093178,0.00009175414,0.00004324219,0.00003764921,0.00053875684],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9965716,0.00013843979,0.0005850214,0.0007828248,0.0004288547,0.0014932369],"domain_scores_gemma":[0.99705523,0.00017911154,0.00016353981,0.0004347363,0.0002838372,0.001883551],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0007294384,0.0003997316,0.0004102548,0.0024439306,0.0018269325,0.00012996973,0.0005062179,0.00025219197,0.00018605035],"category_scores_gemma":[0.00013565285,0.0003437475,0.00020401664,0.0036352063,0.0024443567,0.00064642593,0.000016214008,0.00015929858,0.0000075896846],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024963061,0.000025830528,0.94487584,0.000041411226,0.00012759613,0.00006729598,0.0064454004,4.6550838e-7,0.000038295144,0.004304634,0.0013057198,0.042742543],"study_design_scores_gemma":[0.00064782903,0.00004237867,0.803862,0.000114855735,0.00006938234,0.000001318666,0.016683904,0.0000014040094,0.00013960178,0.0009326736,0.17678908,0.00071558065],"about_ca_topic_score_codex":0.66597086,"about_ca_topic_score_gemma":0.9995755,"teacher_disagreement_score":0.3336046,"about_ca_system_score_codex":0.00030383235,"about_ca_system_score_gemma":0.0008078867,"threshold_uncertainty_score":0.9999015},"labels":[],"label_agreement":null},{"id":"W2268753056","doi":"10.1186/s12966-016-0339-0","title":"Bike Score®: Associations between urban bikeability and cycling behavior in 24 cities","year":2016,"lang":"en","type":"article","venue":"International Journal of Behavioral Nutrition and Physical Activity","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":121,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Saskatchewan Health Authority; University of British Columbia; University of Saskatchewan; Saskatchewan Health; Simon Fraser University","funders":"Canadian Institutes of Health Research","keywords":"Cycling; Census; Metric (unit); Geography; Demography; Poison control; Human factors and ergonomics; Injury prevention; Population; Medicine; Environmental health; Engineering; Sociology; Operations management","score_opus":0.07102542580378665,"score_gpt":0.3800032536580556,"score_spread":0.30897782785426897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2268753056","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99754596,0.000035352983,0.00005686868,0.001747359,0.00025325542,0.00013103335,0.00017268682,0.000012558511,0.000044928893],"genre_scores_gemma":[0.9991981,0.00006785223,0.000051998235,0.000013117749,0.00062263844,0.0000073718434,0.000004805214,0.00000482449,0.00002933921],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988375,0.00013804801,0.0002594925,0.00015840586,0.00046105447,0.00014552074],"domain_scores_gemma":[0.9990172,0.00032406254,0.00023453106,0.00005005398,0.00024967644,0.00012446968],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003940606,0.00009291684,0.00023968249,0.00013153242,0.0001197887,0.00008690899,0.0001522415,0.00007683611,0.000025048002],"category_scores_gemma":[0.00007139542,0.00007254958,0.000107785076,0.000106986656,0.0003267097,0.0009809913,0.000026667729,0.00020139576,7.350155e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004974751,0.0010776648,0.96492666,0.0000034921527,0.00000988321,0.000007705817,0.00086974236,2.567838e-8,0.0031942474,0.0002101448,0.000020573749,0.029630123],"study_design_scores_gemma":[0.00082781684,0.000073153045,0.99387485,0.00007720703,0.000041059913,7.631472e-7,0.00019057657,9.253706e-7,0.0013787602,0.0031882424,0.0002507345,0.00009591443],"about_ca_topic_score_codex":0.00084174733,"about_ca_topic_score_gemma":0.00054630026,"teacher_disagreement_score":0.029534208,"about_ca_system_score_codex":0.00017566953,"about_ca_system_score_gemma":0.000060127637,"threshold_uncertainty_score":0.29584858},"labels":[],"label_agreement":null},{"id":"W2269209065","doi":"10.1016/j.jneb.2015.12.013","title":"Assessing the Environment for Support of Youth Physical Activity in Rural Communities","year":2016,"lang":"en","type":"article","venue":"Journal of Nutrition Education and Behavior","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Food and Agriculture; U.S. Department of Agriculture","keywords":"Checklist; Perception; Level design; Psychology; Built environment; Applied psychology; Computer science; Engineering; Multimedia","score_opus":0.06191340878693845,"score_gpt":0.38192282753548107,"score_spread":0.3200094187485426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2269209065","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979643,0.000030156982,0.00009049623,0.0015793259,0.0001399085,0.00015139414,0.000010122301,0.0000013595014,0.00003290421],"genre_scores_gemma":[0.99959624,0.00006311667,0.000110313944,0.00001564904,0.00014756655,0.000020860927,0.000001979525,0.0000018533999,0.000042397052],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995773,0.00007779173,0.00013742413,0.000023365554,0.00012439278,0.00005977094],"domain_scores_gemma":[0.9995882,0.00009611128,0.00017825169,0.000044599827,0.00006305275,0.0000297966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036325568,0.000032974916,0.000087611035,0.000039807474,0.00010868255,0.000026980459,0.00007131146,0.00002357132,0.000034979596],"category_scores_gemma":[0.000010491467,0.000019313595,0.00005101687,0.000035309095,0.00017176627,0.00046202063,0.0000035579835,0.000052748586,1.357618e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002721158,0.012860086,0.79087836,0.000035009973,0.0000050755516,1.7506169e-7,0.027262187,6.5592154e-8,0.006140787,0.00015780465,0.00010910789,0.16252415],"study_design_scores_gemma":[0.00038682867,0.000057165882,0.9133827,0.00006903628,0.00004817823,4.3919158e-7,0.08388243,2.311195e-7,0.001073626,0.00029756996,0.00076912856,0.000032649816],"about_ca_topic_score_codex":0.00015713992,"about_ca_topic_score_gemma":0.00006756706,"teacher_disagreement_score":0.16249149,"about_ca_system_score_codex":0.000049628357,"about_ca_system_score_gemma":0.00010940495,"threshold_uncertainty_score":0.08359093},"labels":[],"label_agreement":null},{"id":"W2269372456","doi":"10.3141/2565-03","title":"Modeling Travel Tool Ownership of the Elderly Population: Latent Segmentation-Based Logit Model","year":2016,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Logistic regression; Travel behavior; Logit; Travel survey; Market segmentation; Latent class model; Population; Segmentation; Car ownership; Discrete choice; Econometrics; Geography; Demographic economics; Business; Computer science; Transport engineering; Marketing; Statistics; Demography; Economics; Public transport; Mathematics; Engineering; Sociology; Artificial intelligence","score_opus":0.16674052752972718,"score_gpt":0.4056914592325646,"score_spread":0.23895093170283743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2269372456","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96864516,0.00007989537,0.020071963,0.00935086,0.00039528808,0.0011904911,0.000105319086,0.000023127299,0.00013790998],"genre_scores_gemma":[0.9970409,0.00019221044,0.0014333859,0.000046358575,0.00016348851,0.000053370364,0.000011152291,0.000037940088,0.0010211843],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98998284,0.0016263523,0.0017790169,0.00043452514,0.0052896407,0.0008876363],"domain_scores_gemma":[0.9938189,0.00095685077,0.0005986405,0.00059225067,0.0037324317,0.00030096225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006752242,0.00024228032,0.00044962676,0.0005408542,0.0012650186,0.00011075335,0.0016867484,0.00025546324,0.0003823656],"category_scores_gemma":[0.0003406446,0.000132939,0.0006588479,0.0019301833,0.001136583,0.0009950573,0.00000602423,0.0011724521,0.0000056911786],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011253225,0.00033255105,0.9348423,0.00018943338,0.00009863204,0.000011251867,0.005360296,0.037721816,0.0054933587,0.00518148,0.00038531094,0.009258232],"study_design_scores_gemma":[0.0020713827,0.00029798655,0.9710223,0.0006321482,0.00009201627,4.5523567e-8,0.0024903386,0.004468298,0.0028388242,0.0156221455,0.00020936476,0.00025515514],"about_ca_topic_score_codex":0.023779701,"about_ca_topic_score_gemma":0.12636594,"teacher_disagreement_score":0.10258624,"about_ca_system_score_codex":0.00043148294,"about_ca_system_score_gemma":0.0017324956,"threshold_uncertainty_score":0.98272103},"labels":[],"label_agreement":null},{"id":"W2270727427","doi":"10.7202/1036216ar","title":"Impact de la politique d’aménagement sur la mobilité : Cas des éco-quartiers de Vauban et Rieselfeld à Fribourg","year":2016,"lang":"fr","type":"article","venue":"Environnement urbain","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.01417305841608408,"score_gpt":0.3037840097713357,"score_spread":0.2896109513552516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2270727427","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9549992,0.0033163764,0.00530141,0.00934631,0.00026240697,0.0005675136,0.00019905397,0.00011816137,0.025889553],"genre_scores_gemma":[0.97714496,0.0012933126,0.0008236748,0.0004144448,0.00035923347,0.000103031205,0.000011948338,0.000054506163,0.019794889],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.993959,0.00258887,0.00060077733,0.00070426293,0.0005580254,0.0015890534],"domain_scores_gemma":[0.99720114,0.0012539978,0.00021868173,0.00058290834,0.000040980896,0.00070226676],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0056350776,0.0004822827,0.0004166706,0.00010523643,0.0005718824,0.00019514922,0.000597857,0.00042133924,0.005808743],"category_scores_gemma":[0.0003490785,0.00039005093,0.0004151013,0.0003172252,0.0028820238,0.00082372344,0.00010664338,0.0003860937,0.0000992213],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059988204,0.0011220546,0.8949099,0.00009632651,0.00018730515,0.00009317689,0.01994395,0.000069749876,0.0008408558,0.065202616,0.005017737,0.012456295],"study_design_scores_gemma":[0.001165081,0.00027529907,0.71368736,0.00021373456,0.00015422446,0.0000033757879,0.0022143063,0.00004846318,0.0006632862,0.036954597,0.24401115,0.00060913997],"about_ca_topic_score_codex":0.036274776,"about_ca_topic_score_gemma":0.010990149,"teacher_disagreement_score":0.23899342,"about_ca_system_score_codex":0.0022587609,"about_ca_system_score_gemma":0.0006798754,"threshold_uncertainty_score":0.99985516},"labels":[],"label_agreement":null},{"id":"W2271103675","doi":"","title":"Exploring User Perspectives to Increase Winter Bicycling Mode Share in Edmonton, Canada","year":2016,"lang":"en","type":"article","venue":"Transportation Research Board 95th Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cycling; Odds; Transport engineering; Work (physics); Snow; Baseline (sea); Geography; Engineering; Political science; Computer science; Meteorology","score_opus":0.1308022890344334,"score_gpt":0.41268197127255635,"score_spread":0.281879682238123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2271103675","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9821267,0.00013838377,0.00031956666,0.01094658,0.00022940418,0.0021798492,0.00086074637,0.00020610639,0.0029926419],"genre_scores_gemma":[0.99414015,0.00043685717,0.00073455466,0.00012674132,0.0004424304,0.001068472,0.00012309602,0.00009830665,0.002829368],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98621476,0.0017665504,0.0014478448,0.0017376296,0.005952643,0.0028805814],"domain_scores_gemma":[0.9912712,0.0019167882,0.00016143284,0.00071331137,0.0043115085,0.0016257672],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0076634614,0.00047361737,0.0006416174,0.0017368286,0.0015145487,0.00024073797,0.0013400185,0.00027062243,0.0012276738],"category_scores_gemma":[0.0017949576,0.00042184998,0.00021777593,0.003929602,0.0009960961,0.0027955002,0.000023701905,0.0014301803,0.00008990453],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017924852,0.0004000435,0.8839088,0.00020098829,0.0000656452,0.0004251388,0.09600998,0.00035768063,0.0029272654,0.005019072,0.004417608,0.004475299],"study_design_scores_gemma":[0.0013242752,0.00016807526,0.88056546,0.00066222803,0.000014771007,4.2934488e-8,0.08466678,0.000011258306,0.0011008106,0.00061167835,0.030296933,0.000577657],"about_ca_topic_score_codex":0.9370556,"about_ca_topic_score_gemma":0.99528456,"teacher_disagreement_score":0.05822896,"about_ca_system_score_codex":0.00174384,"about_ca_system_score_gemma":0.003616876,"threshold_uncertainty_score":0.99982333},"labels":[],"label_agreement":null},{"id":"W2273662266","doi":"10.25710/2p9g-h923","title":"Pedestrian perceptions: a study of the Mount Pleasant neighborhood in Vancouver, B.C., Canada","year":2020,"lang":"en","type":"article","venue":"Western CEDAR (Western Washington University)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mount; Pedestrian; Geography; Perception; Psychology; Computer science; Archaeology","score_opus":0.023882407847231855,"score_gpt":0.2398327761495094,"score_spread":0.21595036830227754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2273662266","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958238,0.000014793618,0.00003557328,0.000882607,0.00043617634,0.0006082391,0.00003146119,0.00004599692,0.002121339],"genre_scores_gemma":[0.99862,0.0000111774025,0.000004830397,0.00022816371,0.00009046262,0.0000010033774,0.0000027010842,0.000013963959,0.0010277239],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99792904,0.00033732873,0.00032224474,0.0004245874,0.0006313209,0.00035547433],"domain_scores_gemma":[0.9991119,0.00007604115,0.00020586884,0.00031298937,0.00008380266,0.00020939867],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019647279,0.00018483232,0.00031524975,0.00009272863,0.00036254193,0.000053404085,0.0010935357,0.00009144675,0.00006770399],"category_scores_gemma":[0.00005170818,0.00016813044,0.000093633455,0.00094497163,0.00015609172,0.0005001958,0.00016520721,0.00032012368,0.0000031213672],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053528474,0.00021419993,0.9733552,0.000021530896,0.000018398987,0.000049436487,0.02591605,0.00007301963,0.00003784145,0.000052127736,0.00005628087,0.00015239885],"study_design_scores_gemma":[0.0013915602,0.000103126906,0.8935303,0.0000487055,0.00005779399,1.1217431e-7,0.09147414,0.0000148404115,0.000025779924,0.000012740793,0.013109283,0.00023160665],"about_ca_topic_score_codex":0.67326444,"about_ca_topic_score_gemma":0.9965968,"teacher_disagreement_score":0.32333237,"about_ca_system_score_codex":0.00059002475,"about_ca_system_score_gemma":0.001000987,"threshold_uncertainty_score":0.685616},"labels":[],"label_agreement":null},{"id":"W2273860477","doi":"","title":"Polarisation and mobility in the Canadian urban system","year":2020,"lang":"en","type":"other","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science","score_opus":0.013733909019599347,"score_gpt":0.23244653299861828,"score_spread":0.21871262397901894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2273860477","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004327396,0.0013059935,0.000499428,0.0119112395,0.00010644505,0.00067373883,0.00009959827,0.0001608368,0.9809153],"genre_scores_gemma":[0.9406981,0.00007442166,0.00080034597,0.00014015587,0.000058229718,0.000029181596,0.00016463462,0.000052377913,0.057982557],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9944294,0.0043024817,0.0002451483,0.00041041017,0.00034804386,0.0002645294],"domain_scores_gemma":[0.9983891,0.0003738129,0.00018280628,0.000669575,0.00018703143,0.0001976228],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00539719,0.00015239794,0.00020175004,0.00013057445,0.00051694753,0.0003117559,0.000733776,0.00026522466,0.00028447417],"category_scores_gemma":[0.0004799867,0.00013550521,0.00005954865,0.000459623,0.0003948168,0.00009016669,0.00004150445,0.00032613994,0.00001997165],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000064886785,0.00031380492,0.45863464,0.00039176812,0.00005134541,0.00001663733,0.14133829,2.8205176e-7,0.000018630602,0.33037034,0.058466475,0.01039131],"study_design_scores_gemma":[0.00026895438,2.0298074e-7,0.14741948,0.0007269868,0.00004047883,5.754271e-7,0.0027382788,0.00018078745,0.000040576993,0.0005428292,0.8477173,0.00032355307],"about_ca_topic_score_codex":0.80752915,"about_ca_topic_score_gemma":0.985912,"teacher_disagreement_score":0.93637073,"about_ca_system_score_codex":0.00021696856,"about_ca_system_score_gemma":0.00057009683,"threshold_uncertainty_score":0.5525742},"labels":[],"label_agreement":null},{"id":"W2276332632","doi":"10.14288/1.0096461","title":"Mixed-use development along suburban Vancouver streets","year":2010,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geography; Environmental planning","score_opus":0.014223520857449861,"score_gpt":0.19572520985843533,"score_spread":0.18150168900098548,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2276332632","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944072,0.000019646846,0.00010248644,0.00003526396,0.0006943369,0.00018677893,0.000042917258,0.00009761676,0.004413754],"genre_scores_gemma":[0.9944814,0.000011227872,0.0013975943,0.000020585485,0.000057222656,3.3003928e-7,0.000014118483,0.000008477781,0.004009051],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99874604,0.000047265457,0.00013933187,0.00035264684,0.00038997788,0.00032475035],"domain_scores_gemma":[0.99918807,0.0000524293,0.0001079174,0.00023487027,0.00020734301,0.00020934628],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036077778,0.000042469608,0.00018973004,0.000031348754,0.00074293837,0.00014786902,0.00046803986,0.00015969701,0.0006469598],"category_scores_gemma":[0.000048354697,0.00015281366,0.000098173674,0.00026612586,0.00060052704,0.0008526041,0.000060021208,0.00020985074,0.000020015119],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000038007793,0.00011060757,0.7626353,0.0000151801305,0.00001678555,0.00006559746,0.0013061152,2.2659378e-7,0.000076006974,0.000005070325,0.005594416,0.23017089],"study_design_scores_gemma":[0.00036427766,0.000008894895,0.9771833,0.000029154891,0.000015277297,5.435853e-7,0.002549144,0.00000281167,0.0000040955542,0.00016316911,0.019497337,0.00018202761],"about_ca_topic_score_codex":0.5117118,"about_ca_topic_score_gemma":0.9975984,"teacher_disagreement_score":0.48588663,"about_ca_system_score_codex":0.0000629592,"about_ca_system_score_gemma":0.0003532996,"threshold_uncertainty_score":0.70837563},"labels":[],"label_agreement":null},{"id":"W2276826676","doi":"10.3390/ijerph13030250","title":"Comments on Melis et al. The Effects of the Urban Built Environment on Mental Health: A Cohort Study in a Large Northern Italian City. Int. J. Environ. Res. Public Health, 2015, 12, 14898–14915","year":2016,"lang":"en","type":"letter","venue":"International Journal of Environmental Research and Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Canadian Institutes of Health Research","keywords":"Mental health; Built environment; Environmental health; Relation (database); Public health; Cohort; Gerontology; Psychology; Geography; Demography; Sociology; Medicine; Psychiatry; Computer science; Civil engineering; Engineering; Nursing","score_opus":0.06786475093044585,"score_gpt":0.3956212415220438,"score_spread":0.32775649059159795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2276826676","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2789915,0.0015478705,0.0000049091996,0.71582174,0.00061585143,0.002212759,0.0005862845,0.000005333697,0.00021377308],"genre_scores_gemma":[0.74935377,0.0123775005,0.000005277434,0.23647812,0.00072799716,0.00007825409,0.00013459587,0.000042220196,0.0008022624],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.98359513,0.006095495,0.0015706447,0.0007033229,0.0064920983,0.0015432984],"domain_scores_gemma":[0.9956224,0.0013217715,0.0015399486,0.00067148433,0.00007139419,0.0007730152],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.017956238,0.00041367632,0.0007816137,0.0006473881,0.0010566281,0.00027500367,0.0023165545,0.00023757668,0.0004213998],"category_scores_gemma":[0.00044941978,0.00025411305,0.0002620496,0.0002198823,0.0012200015,0.0005185954,0.000474403,0.0035549707,0.00002019959],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011023131,0.002824895,0.6381109,0.00004182561,0.00023695546,0.00004041284,0.0060130605,1.6007164e-7,0.0000029433531,0.000044537494,0.34465325,0.007920877],"study_design_scores_gemma":[0.0012208472,0.0015742553,0.38275605,0.0002756985,0.000002844398,0.0000032193248,0.0012132451,5.855582e-7,0.0000015613444,0.000118089825,0.61270535,0.00012825528],"about_ca_topic_score_codex":0.007905577,"about_ca_topic_score_gemma":0.01311621,"teacher_disagreement_score":0.4793436,"about_ca_system_score_codex":0.005344252,"about_ca_system_score_gemma":0.0018282605,"threshold_uncertainty_score":0.9999911},"labels":[],"label_agreement":null},{"id":"W2277537452","doi":"10.1016/j.jtrangeo.2016.01.007","title":"Examining the influence of stop level infrastructure and built environment on bus ridership in Montreal","year":2016,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":141,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University; Ministère des Transports","funders":"","keywords":"Transport engineering; Public transport; Headway; Transit (satellite); Business; Ordered probit; Schedule; Level of service; Probit model; Computer science; Engineering; Econometrics; Economics","score_opus":0.026527895928739706,"score_gpt":0.24947608092888204,"score_spread":0.22294818500014235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2277537452","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984774,0.00028555855,0.00008034182,0.00068011286,0.00006119089,0.00011095325,0.000020767216,0.0000037702468,0.00027992818],"genre_scores_gemma":[0.9990895,0.00066782726,0.00009577524,0.000051339888,0.00006315751,0.0000015396357,3.8955002e-7,0.0000052072714,0.00002530902],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985518,0.00007738946,0.0005044443,0.00014655486,0.00050066493,0.0002191366],"domain_scores_gemma":[0.9991975,0.000168455,0.0003345799,0.00014576974,0.00005036591,0.00010334659],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009615415,0.00011724332,0.00024053697,0.00018574078,0.000105950916,0.000010173689,0.00031755946,0.000090630856,0.00007637732],"category_scores_gemma":[0.000024833105,0.00006408068,0.00012504999,0.00020612394,0.0005919295,0.00030621362,0.0000047899434,0.00021785143,3.3473978e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011542312,0.000049598784,0.98657507,0.000010182617,0.000025908284,0.000017376806,0.003693515,0.0001862968,0.00040839624,0.000036064357,0.000009093457,0.008873089],"study_design_scores_gemma":[0.00057261356,0.00013511331,0.99561244,0.00013075046,0.000035870933,0.0000010118268,0.00079446915,1.9457433e-7,0.000121749326,0.0019557995,0.00055906706,0.00008094703],"about_ca_topic_score_codex":0.0014374979,"about_ca_topic_score_gemma":0.0027080562,"teacher_disagreement_score":0.009037359,"about_ca_system_score_codex":0.00002392457,"about_ca_system_score_gemma":0.00006112006,"threshold_uncertainty_score":0.26131344},"labels":[],"label_agreement":null},{"id":"W2277951925","doi":"","title":"Awareness and Use of Canada's Children's Fitness Tax Credit","year":2013,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Children's Hospital of Eastern Ontario; Canadian Fitness and Lifestyle Research Institute; York University; University of Saskatchewan","funders":"","keywords":"Residence; Socioeconomic status; Logistic regression; Survey data collection; Immigration; Demographic economics; Family income; Business; Geography; Economics; Demography; Economic growth; Medicine; Sociology; Statistics","score_opus":0.03830316096296507,"score_gpt":0.3153658048620373,"score_spread":0.2770626438990722,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2277951925","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9885027,0.000115274735,7.76652e-7,0.00043214185,0.00038432624,0.0007244177,0.00028500237,0.000015917298,0.009539476],"genre_scores_gemma":[0.994428,0.002312973,0.00011303863,0.00002277846,0.00024314006,0.00008094186,0.00006324529,0.000024111998,0.0027117992],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972816,0.00030207777,0.00053946895,0.0007302709,0.00043574822,0.0007108194],"domain_scores_gemma":[0.9980859,0.0005200587,0.00021319484,0.00066294067,0.00022760275,0.00029029482],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001470163,0.00021150618,0.0005227433,0.00018340987,0.00036723958,0.00020159973,0.0007345632,0.0003985191,0.00024453236],"category_scores_gemma":[0.0005405914,0.00022552606,0.00008210635,0.00012706773,0.0010105612,0.00024136588,0.00045374993,0.00092324987,5.3672477e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021936316,0.0000578602,0.9790102,0.00010847244,0.000043364147,0.0000064022843,0.000748311,0.0004439575,0.0000038023595,0.00023654838,0.00033269502,0.018986452],"study_design_scores_gemma":[0.00022929556,0.000014205612,0.98675257,0.00014194168,0.000008941772,2.792433e-7,0.00068800966,0.0003963493,0.000050676954,0.0014415259,0.009945706,0.00033051637],"about_ca_topic_score_codex":0.85575086,"about_ca_topic_score_gemma":0.9389978,"teacher_disagreement_score":0.08324695,"about_ca_system_score_codex":0.00068121037,"about_ca_system_score_gemma":0.005187002,"threshold_uncertainty_score":0.9201519},"labels":[],"label_agreement":null},{"id":"W2277955759","doi":"10.14288/1.0103560","title":"Encouraging active transportation for children and finding sustainable solutions to school traffic problems in the District of West Vancouver : a case study of Gleneagles Elementary and West Bay Elementary : final report","year":2015,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"School district; Bay; Geography; West coast; Mathematics education; Mathematics; Archaeology; Oceanography; Geology","score_opus":0.021289212642221392,"score_gpt":0.24075191517278055,"score_spread":0.21946270253055916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2277955759","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99793917,0.000057133846,0.00013531046,0.00006287003,0.000024211358,0.0014810805,0.00026005492,0.000009100592,0.00003105865],"genre_scores_gemma":[0.9997108,0.000012424914,0.00016163752,0.0000052137557,0.000012861777,0.0000058492947,0.000047834008,0.00000398837,0.000039393577],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989779,0.000076151206,0.00022514848,0.0002635137,0.0002445347,0.00021272534],"domain_scores_gemma":[0.9993755,0.00006053663,0.00018496715,0.00010560554,0.00017859429,0.00009480249],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000826577,0.000042572072,0.00019579087,0.000064635984,0.00041510645,0.000033881184,0.00014656622,0.000037207214,0.000015655009],"category_scores_gemma":[0.000032077794,0.000093187926,0.000039808667,0.0003585726,0.00019715929,0.00054096273,0.000020082636,0.00007696521,2.9894263e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026891601,0.00047669993,0.9407927,0.00006807145,0.00003619533,0.000295605,0.031370055,0.00008500289,0.0000047832204,7.2855465e-7,0.00026432885,0.02657897],"study_design_scores_gemma":[0.0009982008,0.0001725864,0.68686885,0.000037392656,0.00007706361,0.000010797248,0.3117042,0.0000106435455,1.818109e-7,0.00004388691,0.0000118232065,0.00006437243],"about_ca_topic_score_codex":0.637759,"about_ca_topic_score_gemma":0.9853134,"teacher_disagreement_score":0.34755448,"about_ca_system_score_codex":0.00009908082,"about_ca_system_score_gemma":0.00020236096,"threshold_uncertainty_score":0.38000932},"labels":[],"label_agreement":null},{"id":"W2279386586","doi":"10.1136/bmjopen-2015-008964","title":"Neighbourhood walkability, daily steps and utilitarian walking in Canadian adults","year":2015,"lang":"en","type":"article","venue":"BMJ Open","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":68,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University Health Centre; McGill University","funders":"Canadian Institutes of Health Research; Social Sciences and Humanities Research Council of Canada; Fonds de Recherche du Québec-Société et Culture; McGill University","keywords":"Walkability; Medicine; Neighbourhood (mathematics); Gerontology; Environmental health; Public health; Level design; Physical activity; Physical medicine and rehabilitation; Nursing","score_opus":0.08837209177194949,"score_gpt":0.39544123335572495,"score_spread":0.30706914158377546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2279386586","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81053567,0.000050419378,6.0782236e-7,0.0025803905,0.00017129559,0.0023080832,0.000014696944,0.000016026168,0.1843228],"genre_scores_gemma":[0.99861366,0.0000018773599,0.00017529639,0.00022112927,0.00009538359,0.0000967946,0.000008122897,0.000007330983,0.00078040425],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998485,0.00015157799,0.00026701952,0.00034826412,0.00026584015,0.00048226526],"domain_scores_gemma":[0.99889606,0.00005193304,0.000050758175,0.00025053194,0.000084802545,0.00066589715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035568124,0.00009851497,0.00020265368,0.00007155846,0.00023312985,0.00028665876,0.0006361058,0.00010532433,0.0003301448],"category_scores_gemma":[0.0003938454,0.000095196236,0.00002433983,0.00029224082,0.00016248792,0.0007996988,0.00011874238,0.00012838028,0.000020797901],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055397057,0.00002885544,0.9719263,0.000012451149,0.0000030334502,0.000015510326,0.016909763,2.4870283e-7,4.4577158e-7,0.001723448,0.0003441045,0.008980478],"study_design_scores_gemma":[0.0007284928,0.000027058706,0.9716975,0.000061134524,0.0000045745087,3.2600943e-7,0.010098292,0.000041588868,0.0000021305527,0.007088222,0.010086118,0.00016457768],"about_ca_topic_score_codex":0.98162174,"about_ca_topic_score_gemma":0.99854165,"teacher_disagreement_score":0.18807799,"about_ca_system_score_codex":0.00028362114,"about_ca_system_score_gemma":0.0017233547,"threshold_uncertainty_score":0.38819897},"labels":[],"label_agreement":null},{"id":"W2280011910","doi":"10.1002/atr.1355","title":"Ridership estimation procedure for a transit corridor with new bus rapid transit service","year":2015,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Australian Government","keywords":"Transit (satellite); Transport engineering; Estimation; Bus rapid transit; Service (business); Public transport; Computer science; Business; Engineering; Systems engineering","score_opus":0.037754667534685586,"score_gpt":0.30445555707355315,"score_spread":0.26670088953886756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2280011910","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8636925,0.0003618427,0.13085976,0.0038091321,0.0003378621,0.0007016005,0.000028469169,0.000050618062,0.00015816606],"genre_scores_gemma":[0.97856975,0.00003288819,0.02067911,0.00017785473,0.00030760947,0.000012340128,0.000071854935,0.00002310809,0.0001254826],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9982519,0.000034229284,0.00059858215,0.00020374647,0.00063753914,0.00027400895],"domain_scores_gemma":[0.9980321,0.00007471623,0.00047605037,0.000097794415,0.00095184165,0.00036751624],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005950936,0.0001715496,0.00032468166,0.00010885597,0.00017340065,0.0000483758,0.00021100872,0.000113458176,0.000040712563],"category_scores_gemma":[0.000051287956,0.00014536755,0.00013668458,0.0005108977,0.00006993829,0.0016760281,2.4790995e-7,0.00018790543,0.0000014193798],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.018810965,0.00079606334,0.055259984,0.0010511003,0.00031657744,0.00005695957,0.3326446,0.49391273,0.002188377,0.0013485474,0.0013742166,0.09223988],"study_design_scores_gemma":[0.04042948,0.007136161,0.78302103,0.0016623068,0.0025510238,0.000023881625,0.08272515,0.0013544244,0.008226506,0.035444308,0.03538311,0.0020425846],"about_ca_topic_score_codex":0.00024206503,"about_ca_topic_score_gemma":0.013401255,"teacher_disagreement_score":0.7277611,"about_ca_system_score_codex":0.00009608215,"about_ca_system_score_gemma":0.0011755937,"threshold_uncertainty_score":0.7478215},"labels":[],"label_agreement":null},{"id":"W2280314112","doi":"10.14288/1.0108367","title":"Main Mall walk-bike study","year":2012,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science","score_opus":0.01551317984495225,"score_gpt":0.21887081144367254,"score_spread":0.20335763159872028,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2280314112","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98642355,0.00013118275,0.00005450723,0.0000917665,0.00023015277,0.00033396014,0.00005269832,0.00007815705,0.012604033],"genre_scores_gemma":[0.9955899,0.000024388786,0.00012419486,0.000031315838,0.00009907832,3.6811568e-7,0.0000056959234,0.0000068727286,0.004118182],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987846,0.0001344057,0.00010401169,0.0002402422,0.00035061277,0.00038613827],"domain_scores_gemma":[0.99936986,0.000034871384,0.000081414924,0.00021026228,0.00008596157,0.00021761931],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007309087,0.000032274475,0.00019098012,0.000024474917,0.00057494437,0.00007606778,0.00041154627,0.0000883678,0.0011217636],"category_scores_gemma":[0.000023095692,0.000121678626,0.00010119265,0.00029890664,0.0003858908,0.0009932196,0.00005858531,0.000111959605,0.000042929074],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000044611097,0.00053687795,0.90823704,0.000011931047,0.000019846375,0.00003611689,0.0039588315,1.16128405e-7,0.000010922744,0.0000052843498,0.0016385681,0.08554003],"study_design_scores_gemma":[0.00046772632,0.00003544572,0.97068745,0.000016267722,0.00004080224,8.711864e-7,0.026341813,0.000001108436,8.616476e-8,0.00013119342,0.0021427723,0.00013448326],"about_ca_topic_score_codex":0.5283158,"about_ca_topic_score_gemma":0.8837817,"teacher_disagreement_score":0.35546586,"about_ca_system_score_codex":0.000087930544,"about_ca_system_score_gemma":0.0000921342,"threshold_uncertainty_score":0.9997913},"labels":[],"label_agreement":null},{"id":"W2281141443","doi":"10.3141/2493-05","title":"Exploration of Short-Term Vehicle Utilization Choices in Households with Multiple Vehicle Types","year":2015,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Latent class model; Econometrics; Term (time); Latent variable; Sustainability; Variable (mathematics); Estimation; Travel survey; Scale (ratio); Travel behavior; Economics; Environmental economics; Computer science; Microeconomics; Statistics; Geography; Mathematics","score_opus":0.2703026194316677,"score_gpt":0.4316756477781832,"score_spread":0.16137302834651546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2281141443","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959482,0.00025110602,0.0007976222,0.0013493869,0.00023605705,0.0009652768,0.000032242853,0.000027437489,0.000392696],"genre_scores_gemma":[0.9984945,0.0004663517,0.0004846485,0.000012878202,0.0001495097,0.00004743844,0.000021808377,0.00003484127,0.0002880007],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9924067,0.0013676326,0.0012342804,0.00035494595,0.0039524105,0.0006839792],"domain_scores_gemma":[0.9944214,0.00064446527,0.0003869192,0.00035652617,0.0038039174,0.0003867284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0060437424,0.00018464882,0.0004152497,0.00066550233,0.0004410922,0.00011422167,0.0009145542,0.00020092657,0.00008777311],"category_scores_gemma":[0.00028314788,0.00013866855,0.00017152235,0.0030072574,0.0010580672,0.0023420157,0.000004821156,0.0011205102,0.0000048541347],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015689773,0.00036370291,0.97546333,0.000106747524,0.000038928465,0.000033060027,0.015757699,0.0016725275,0.0012185394,0.00071492547,0.00021224198,0.0028492976],"study_design_scores_gemma":[0.001661054,0.0004747152,0.9816817,0.0002947862,0.000031383963,3.5309295e-8,0.008727928,0.00015517385,0.0024321305,0.0017079777,0.0026827105,0.00015038537],"about_ca_topic_score_codex":0.036872737,"about_ca_topic_score_gemma":0.49858555,"teacher_disagreement_score":0.4617128,"about_ca_system_score_codex":0.00028423924,"about_ca_system_score_gemma":0.0013001583,"threshold_uncertainty_score":0.96954083},"labels":[],"label_agreement":null},{"id":"W2283511115","doi":"10.1016/j.tbs.2016.01.001","title":"Space–time mismatch between transit service and observed travel patterns in the Wasatch Front, Utah: A social equity perspective","year":2016,"lang":"en","type":"article","venue":"Travel Behaviour and Society","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":59,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; The Scarborough Hospital","funders":"National Institute for Transportation and Communities; Portland State University; U.S. Department of Transportation","keywords":"Public transport; TRIPS architecture; Destinations; Travel behavior; Transport engineering; Equity (law); Transit (satellite); Descriptive statistics; Geography; Business; Supply and demand; Demographic economics; Economics; Engineering; Tourism; Statistics; Mathematics","score_opus":0.07057255134156942,"score_gpt":0.3242956110056941,"score_spread":0.2537230596641247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2283511115","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9821435,0.0000952513,0.00042669926,0.015231579,0.000041919622,0.0005011865,0.0002977307,0.000041594743,0.0012205424],"genre_scores_gemma":[0.9986359,0.000096753414,0.000080486345,0.00035991595,0.00025815322,0.000022909657,0.000013343802,0.000017940558,0.0005146337],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978187,0.00026506715,0.0003105551,0.0005293967,0.00049595477,0.00058031775],"domain_scores_gemma":[0.9992725,0.00019294531,0.00008709785,0.00017400237,0.00011351999,0.00015991581],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014119388,0.00025407533,0.0004158336,0.000020789194,0.00081839086,0.00013926589,0.00038846512,0.00032701332,0.00017637851],"category_scores_gemma":[0.000011203943,0.00017011061,0.00022019714,0.0002058251,0.00046096204,0.00035038774,0.000038248487,0.00031881142,0.000005316751],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001589186,0.00010463583,0.7104917,0.000024887451,0.000028202989,0.000004118158,0.28718385,1.2141698e-8,0.000590836,0.0003700631,0.00013594465,0.0010498257],"study_design_scores_gemma":[0.0010774155,0.000027763874,0.909968,0.000030654053,0.000129579,4.361181e-7,0.08668647,0.0000037287764,0.000099566445,0.0017018873,0.00002216625,0.00025231636],"about_ca_topic_score_codex":0.023460178,"about_ca_topic_score_gemma":0.01443385,"teacher_disagreement_score":0.20049737,"about_ca_system_score_codex":0.0001569396,"about_ca_system_score_gemma":0.00014117605,"threshold_uncertainty_score":0.98304266},"labels":[],"label_agreement":null},{"id":"W2283767323","doi":"","title":"Are the Transit Fares Fair? Public Transit Fare Structures and Social Vulnerability in Montreal, Canada","year":2016,"lang":"en","type":"article","venue":"Transportation Research Board 95th Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Public transport; Destinations; Equity (law); Business; Transit (satellite); Purchasing; Demographic economics; Tourism; Geography; Economics; Marketing; Transport engineering; Political science; Engineering","score_opus":0.071129397248347,"score_gpt":0.3738282864527669,"score_spread":0.3026988892044199,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2283767323","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9441564,0.00033265745,0.0002398067,0.05041992,0.00016992459,0.0021885873,0.0014181094,0.00015290045,0.0009217052],"genre_scores_gemma":[0.9977465,0.00029936948,0.000075275515,0.00023392307,0.00029799782,0.000442124,0.00014833537,0.00006870043,0.00068775454],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9848364,0.0036224513,0.0014707887,0.0015820493,0.005796159,0.0026921548],"domain_scores_gemma":[0.99269277,0.002385029,0.0003148971,0.00061816827,0.0031911721,0.0007979439],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.00944778,0.0005337757,0.0007601829,0.00079160347,0.0039445837,0.0003984447,0.0013728858,0.00051521615,0.00070660736],"category_scores_gemma":[0.0007522874,0.0003855579,0.00024572987,0.0026068497,0.0038109832,0.0014937283,0.000014464794,0.0019857981,0.000010816681],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00087353104,0.0002254122,0.9378597,0.00033506003,0.000079770376,0.00019577525,0.037116107,0.000048521586,0.00041336787,0.0067285295,0.0027241851,0.013400044],"study_design_scores_gemma":[0.0015484551,0.00009011806,0.90999943,0.00011234776,0.00002574885,1.0710412e-7,0.06465873,0.00000955707,0.0001816055,0.0046851058,0.018241137,0.00044762646],"about_ca_topic_score_codex":0.8652391,"about_ca_topic_score_gemma":0.99805367,"teacher_disagreement_score":0.1328146,"about_ca_system_score_codex":0.0007139431,"about_ca_system_score_gemma":0.0023959603,"threshold_uncertainty_score":0.99985963},"labels":[],"label_agreement":null},{"id":"W2285476353","doi":"10.1093/pch/12.6.501","title":"Trampoline use in homes and playgrounds","year":2007,"lang":"en","type":"article","venue":"Paediatrics & Child Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Public Health Agency of Canada","keywords":"Trampoline; Geography; Transport engineering; Computer science; Engineering","score_opus":0.025323866136168226,"score_gpt":0.3215132366834448,"score_spread":0.29618937054727656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2285476353","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9886082,0.0038733827,0.00031824602,0.0037738124,0.00025843582,0.0002729196,0.00001562027,0.00006316584,0.002816226],"genre_scores_gemma":[0.9950298,0.002703938,0.00038237328,0.0011073167,0.0006415283,0.0000017501252,0.00001467068,0.000008627709,0.00010999008],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984395,0.00007824436,0.00037204177,0.00025738007,0.0002879841,0.0005648693],"domain_scores_gemma":[0.99917144,0.00026445143,0.000103616476,0.00012272438,0.000027145183,0.00031065094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025482294,0.0000974959,0.00020356408,0.00018593307,0.0004084288,0.000062345236,0.00012890455,0.000104674175,0.00002450315],"category_scores_gemma":[0.00011902163,0.00009476762,0.000038107406,0.0006239712,0.000124146,0.00031401365,0.000014134804,0.00026938962,0.0000032073701],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013890024,0.00008134564,0.98423916,0.000026507549,0.0000014609108,0.000004132501,0.004841239,6.6536296e-7,1.60758e-7,0.0037634578,0.00017470607,0.006853267],"study_design_scores_gemma":[0.00035099444,0.000026287467,0.98207605,0.000008824665,0.0000036045055,2.4338246e-7,0.0006859752,0.000003252787,7.9948455e-7,0.0012544466,0.015486961,0.000102564365],"about_ca_topic_score_codex":0.018336771,"about_ca_topic_score_gemma":0.12005515,"teacher_disagreement_score":0.10171838,"about_ca_system_score_codex":0.00014976347,"about_ca_system_score_gemma":0.00024552425,"threshold_uncertainty_score":0.9882002},"labels":[],"label_agreement":null},{"id":"W2288472350","doi":"","title":"Traveling Fair: Targeting Equitable Transit by Understanding Job Location, Sectorial Concentration, and Transit Use Among Low-Wage Workers","year":2016,"lang":"en","type":"article","venue":"Transportation Research Board 95th Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transit (satellite); Wage; Low wage; Disadvantaged; Business; Labour economics; Investment (military); Demographic economics; Public transport; Economics; Transport engineering; Economic growth; Engineering; Political science","score_opus":0.07580371824728585,"score_gpt":0.3660367373773299,"score_spread":0.29023301913004407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2288472350","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9442142,0.00043792272,0.046035826,0.0040981355,0.00046618862,0.0027570298,0.00081124704,0.0004467741,0.0007326303],"genre_scores_gemma":[0.9949333,0.0008519805,0.0007588265,0.000075973716,0.0006037696,0.00029548904,0.00044925328,0.00013760773,0.0018937777],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98491997,0.0022891795,0.001965999,0.0019247312,0.005524702,0.003375433],"domain_scores_gemma":[0.99049956,0.0029149058,0.00034169067,0.00055477954,0.0041788104,0.0015102517],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.012738716,0.00064698106,0.00078615325,0.0005538498,0.0044337674,0.0009034507,0.0009028825,0.00074038527,0.0007272198],"category_scores_gemma":[0.0009963389,0.00059955247,0.00028915866,0.003306893,0.0038434379,0.0049549653,0.000012576408,0.0016016872,0.00003338798],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016341015,0.00030827706,0.9054365,0.00048751666,0.00018720758,0.00008834964,0.054749075,0.00032784016,0.01747222,0.010235048,0.007793417,0.0012804219],"study_design_scores_gemma":[0.0069121416,0.00057084806,0.87328166,0.0017351792,0.00018267799,1.9912278e-7,0.09364893,0.00020703173,0.005942304,0.00453299,0.011110917,0.0018751028],"about_ca_topic_score_codex":0.047837656,"about_ca_topic_score_gemma":0.106659405,"teacher_disagreement_score":0.05882175,"about_ca_system_score_codex":0.0009426026,"about_ca_system_score_gemma":0.0015228126,"threshold_uncertainty_score":0.9996456},"labels":[],"label_agreement":null},{"id":"W2288534356","doi":"10.1080/00045608.2015.1113118","title":"Revisiting Gender, Race, and Commuting in New York","year":2016,"lang":"en","type":"article","venue":"Annals of the American Association of Geographers","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":67,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Metropolitan area; Demographic economics; Race (biology); Ethnic group; Public transport; Investment (military); Inequality; Geography; Sociology; Economics; Political science; Politics; Gender studies","score_opus":0.04690157461818615,"score_gpt":0.32947834893116906,"score_spread":0.2825767743129829,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2288534356","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9853451,0.00032288433,0.000018707453,0.010862697,0.00003695365,0.00008901315,0.0000060661264,0.00001165524,0.003306926],"genre_scores_gemma":[0.9987615,0.00038079056,0.0001482933,0.00027552762,0.0000417874,7.3786765e-7,3.171108e-7,0.0000038470093,0.00038724043],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988467,0.00026853976,0.0002775361,0.00011072484,0.0002932202,0.0002032991],"domain_scores_gemma":[0.99841166,0.00039382355,0.0009268028,0.00012927466,0.00009010108,0.000048322192],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001584285,0.0000570406,0.0002229207,0.000057667887,0.00011590072,0.000011340616,0.00021916506,0.000030889474,0.000025232303],"category_scores_gemma":[0.0005732515,0.00003950727,0.00011665825,0.0006907875,0.00033995978,0.000118069,0.000023995466,0.000058677204,4.4994962e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009636642,0.000011569318,0.9638134,0.0000047168724,0.00002386339,4.370765e-8,0.0017862524,8.1929204e-7,0.00014375623,0.00025286828,0.0006678552,0.033285186],"study_design_scores_gemma":[0.00014848709,0.000010065114,0.9939213,0.00006217983,0.000009674291,7.4449185e-9,0.002281056,8.975032e-7,0.00017966672,0.0014744553,0.001857663,0.000054595326],"about_ca_topic_score_codex":0.010750231,"about_ca_topic_score_gemma":0.0018381167,"teacher_disagreement_score":0.03323059,"about_ca_system_score_codex":0.00002314254,"about_ca_system_score_gemma":0.00008251353,"threshold_uncertainty_score":0.9958373},"labels":[],"label_agreement":null},{"id":"W2288634934","doi":"10.1080/00045608.2015.1120150","title":"Mobility Among the Spatialities","year":2016,"lang":"en","type":"article","venue":"Annals of the American Association of Geographers","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Economic geography; Political science; Business; Sociology; Political economy; Psychology; Economics","score_opus":0.022280366219565216,"score_gpt":0.3074565289051718,"score_spread":0.2851761626856066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2288634934","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9782761,0.000040788294,0.00001779698,0.017495492,0.00012551619,0.00017080642,0.000039009064,0.00001969168,0.0038148058],"genre_scores_gemma":[0.99834836,0.00013161755,0.000013149128,0.00031796374,0.000047400536,0.000007280684,4.6600672e-7,0.0000040772406,0.0011296882],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983155,0.0004739596,0.00029338445,0.00012426538,0.0005651987,0.00022766639],"domain_scores_gemma":[0.997649,0.0005521976,0.0011357175,0.0003021278,0.00032134968,0.00003958126],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019599015,0.00007002221,0.00020372288,0.00003073808,0.00024184927,0.000013572826,0.0005153733,0.000035231693,0.00011209924],"category_scores_gemma":[0.00069814624,0.000034537105,0.00032404953,0.00061047665,0.002123179,0.00016476768,0.00002789647,0.00005763878,0.0000014435681],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013873105,0.000041610925,0.99166006,0.000003021905,0.000062831714,1.6583607e-8,0.0015577885,0.0000014355936,0.00005757939,0.000458043,0.0016143078,0.0045294436],"study_design_scores_gemma":[0.0000678028,0.000022388609,0.9901538,0.000015692767,0.000019390407,2.0655564e-9,0.0025316465,4.3128654e-7,0.0007445467,0.0033047118,0.0030874112,0.000052177907],"about_ca_topic_score_codex":0.028556902,"about_ca_topic_score_gemma":0.009002507,"teacher_disagreement_score":0.020072265,"about_ca_system_score_codex":0.000030441797,"about_ca_system_score_gemma":0.00007967365,"threshold_uncertainty_score":0.977912},"labels":[],"label_agreement":null},{"id":"W2288796433","doi":"","title":"Transportation Related Social Exclusions and Homelessness: What Does the Role of Transportation Play in Improving the Circumstances of Homeless Individuals?","year":2016,"lang":"en","type":"article","venue":"Transportation Research Board 95th Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Social exclusion; Poverty; Metropolitan area; Population; Sociology; Criminology; Economic growth; Geography; Demography; Economics","score_opus":0.03027978326537466,"score_gpt":0.3523438035066489,"score_spread":0.32206402024127423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2288796433","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98948395,0.0017410094,0.00013765226,0.0042643384,0.00020608108,0.0025192297,0.0012885671,0.000094138406,0.00026502687],"genre_scores_gemma":[0.99535894,0.0033975139,0.0001310024,0.000021150567,0.00013087109,0.0004554451,0.00028237927,0.00006929638,0.00015340175],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9877025,0.0023130039,0.0023878412,0.0011342488,0.0048768986,0.0015855163],"domain_scores_gemma":[0.99192417,0.0034552214,0.00079862267,0.0005724607,0.0029016882,0.00034781877],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.012251009,0.00045456598,0.0008925898,0.0010776761,0.0021220134,0.00021712904,0.0013456581,0.0005509554,0.0002665283],"category_scores_gemma":[0.00034327593,0.00027603316,0.00032768399,0.0038958306,0.0052500158,0.0029347145,0.000009323295,0.0013817794,0.0000046386444],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00068613526,0.0003658985,0.6678851,0.00044458944,0.00010697163,0.0000203327,0.2544492,0.000047663674,0.008575532,0.03267653,0.000035982262,0.034706052],"study_design_scores_gemma":[0.0013720861,0.00014147558,0.7445071,0.00048604302,0.00006685873,3.4646103e-8,0.23816334,0.000010612441,0.0039786906,0.009441184,0.0015370013,0.00029563814],"about_ca_topic_score_codex":0.036445413,"about_ca_topic_score_gemma":0.38611338,"teacher_disagreement_score":0.34966797,"about_ca_system_score_codex":0.00023320148,"about_ca_system_score_gemma":0.0009915081,"threshold_uncertainty_score":0.9999692},"labels":[],"label_agreement":null},{"id":"W2289577189","doi":"10.1016/j.jth.2016.02.005","title":"Longer or more frequent walks: Examining the relationship between transit use and active transportation in Canada","year":2016,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":46,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Destinations; Public transport; Transit (satellite); TRIPS architecture; Transport engineering; Business; Travel behavior; Odds; Geography; Physical activity; Logistic regression; Environmental health; Computer science; Medicine; Engineering","score_opus":0.11881743506517017,"score_gpt":0.34315354622791516,"score_spread":0.224336111162745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2289577189","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9856202,0.00021392654,0.0008939214,0.0126910675,0.0001492948,0.0002918885,0.00011181025,0.0000080747,0.000019824263],"genre_scores_gemma":[0.9990294,0.00025510232,0.00018760478,0.00029935624,0.000140242,0.000003651269,0.000008046652,0.000012424668,0.000064174674],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976772,0.00020418823,0.00093619723,0.00019085984,0.0006216267,0.00036992528],"domain_scores_gemma":[0.99800926,0.0009993115,0.00045789045,0.00012355937,0.00012045094,0.00028951626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014505337,0.00014005363,0.00038237977,0.0000992802,0.00031600797,0.000019480805,0.00021353079,0.00008183055,0.000071519644],"category_scores_gemma":[0.000079910205,0.00007735845,0.00007019593,0.00032579325,0.00018289221,0.0009630998,7.3658043e-7,0.00036039838,2.1624356e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015193841,0.00002322787,0.9715136,0.000035014247,0.000018681885,0.00004967636,0.022117732,0.000008007325,0.000008052413,0.00007790231,0.000033005566,0.005963107],"study_design_scores_gemma":[0.00069005927,0.000070849725,0.99253696,0.0002627302,0.00004353837,0.0000014978409,0.005270469,2.7784037e-7,0.000010870431,0.00023235854,0.0007758728,0.00010452189],"about_ca_topic_score_codex":0.68413866,"about_ca_topic_score_gemma":0.9893635,"teacher_disagreement_score":0.3052249,"about_ca_system_score_codex":0.00069684966,"about_ca_system_score_gemma":0.004737312,"threshold_uncertainty_score":0.8403788},"labels":[],"label_agreement":null},{"id":"W2289678093","doi":"10.1123/ssj.2014-0100","title":"Children’s Participation in Organized Sport and Physical Activities and Active Free Play: Exploring the Impact of Time, Gender and Neighbourhood Household Income Using Longitudinal Data","year":2015,"lang":"en","type":"article","venue":"Sociology of Sport Journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Brock University; McMaster University","funders":"","keywords":"Socioeconomic status; Neighbourhood (mathematics); Physical activity; Psychology; Humanities; Demography; Political science; Geography; Sociology; Population; Medicine; Art","score_opus":0.15166407006868177,"score_gpt":0.37016428696110326,"score_spread":0.2185002168924215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2289678093","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.999481,0.00021942907,0.0000073928186,0.00004874165,0.000047236193,0.00011453676,0.00003196592,0.0000065822155,0.000043108554],"genre_scores_gemma":[0.9995679,0.00009793758,0.00007466219,0.000003899715,0.00023720518,0.0000012835885,0.000007696891,0.000007837396,0.0000015675844],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990876,0.000038306967,0.0002721868,0.000189109,0.00019227015,0.00022055929],"domain_scores_gemma":[0.99931383,0.00004658552,0.00030268144,0.00016671277,0.0000539772,0.00011619122],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010848916,0.00011025873,0.00036995517,0.00006636071,0.0002135834,0.000019579586,0.0002157995,0.00008111371,0.000011920249],"category_scores_gemma":[0.000040763764,0.00007766432,0.00003781074,0.0000941694,0.0014456406,0.00084959157,0.00010909319,0.0003094015,5.6881294e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011763382,0.00007549163,0.9714407,0.0000039924025,0.00008132916,0.0000049709392,0.027903777,0.000018468825,0.00010996587,0.000067626024,0.000004537348,0.00017153072],"study_design_scores_gemma":[0.0006956224,0.00006543704,0.9898787,0.000014309444,0.00006241573,0.000012023493,0.0060033216,0.00006152612,0.000068330184,0.0030598638,3.9468065e-7,0.00007801993],"about_ca_topic_score_codex":0.0019957495,"about_ca_topic_score_gemma":0.00022345074,"teacher_disagreement_score":0.021900455,"about_ca_system_score_codex":0.000064214175,"about_ca_system_score_gemma":0.0002546143,"threshold_uncertainty_score":0.5326523},"labels":[],"label_agreement":null},{"id":"W2291364178","doi":"","title":"PHYSICAL ACTIVITY AND TRANSPORTATION BENEFITS OF WALKABLE APPROACHES TO COMMUNITY DESIGN IN BRITISH COLUMBIA","year":2009,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Community design; Transport engineering; Walkability; Geography; Environmental planning; Computer science; Engineering; Civil engineering; Built environment","score_opus":0.10724545036682914,"score_gpt":0.28337696887715097,"score_spread":0.17613151851032183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2291364178","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971606,0.000014293434,0.0005985397,0.00017456131,0.000008701518,0.0002906653,0.0000103971915,0.0000250036,0.0017172386],"genre_scores_gemma":[0.9990997,0.000005473707,0.00065824384,0.000026552818,0.00001375299,0.0000055257447,0.0000035301061,0.0000022448805,0.00018499717],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99933875,0.00015634169,0.000097922275,0.000120186276,0.00014338925,0.00014339577],"domain_scores_gemma":[0.99971175,0.000082128805,0.000029270166,0.00008715984,0.000021922448,0.00006775905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005337087,0.000040118648,0.00015382543,0.000015196477,0.00020313924,0.00007037697,0.00011281362,0.000048584694,0.000026976915],"category_scores_gemma":[0.000019431334,0.000060544367,0.00002493912,0.00025472927,0.000095635194,0.00037078065,0.0000023320908,0.00011382281,3.1560245e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031449115,0.0013007115,0.82955074,0.000023668448,0.000004237056,9.993801e-7,0.019388622,0.00014081977,0.0004099682,0.0006119256,0.000067634195,0.14846924],"study_design_scores_gemma":[0.00014984347,0.000062405445,0.99461955,0.000015937,0.0000056661243,2.1520398e-8,0.0011028067,0.00004910982,0.00052304385,0.0033927094,0.000008479311,0.00007040358],"about_ca_topic_score_codex":0.36807767,"about_ca_topic_score_gemma":0.8903168,"teacher_disagreement_score":0.5222391,"about_ca_system_score_codex":0.000020833866,"about_ca_system_score_gemma":0.000038184447,"threshold_uncertainty_score":0.63613033},"labels":[],"label_agreement":null},{"id":"W2291740214","doi":"10.5719/hgeo.2015.91.3","title":"A GIS-based Multicriteria Decision Making Approach for Evaluating Accessibility to Public Parks in Calgary, Alberta","year":2015,"lang":"en","type":"article","venue":"HUMAN GEOGRAPHIES – Journal of Studies and Research in Human Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Environmental planning; Public participation GIS; Geographic information system; Geography; Environmental resource management; Computer science; Environmental science; GIS and public health; Cartography","score_opus":0.2779872914100631,"score_gpt":0.5082764730484312,"score_spread":0.23028918163836803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2291740214","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98998046,0.0070718937,0.0003076478,0.0005103318,0.0001687668,0.0012619401,0.0000044328,0.000013688595,0.00068085996],"genre_scores_gemma":[0.9930167,0.0002281667,0.0063173915,0.000057140656,0.00019679443,0.0001460941,0.000004789864,0.000019842611,0.00001305806],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99431735,0.0010144963,0.001302449,0.00063579535,0.0016116515,0.0011182748],"domain_scores_gemma":[0.9955031,0.0013655196,0.00034114553,0.00033954636,0.0019943526,0.00045632504],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.021857321,0.00027460244,0.0007581084,0.0038423997,0.0017731983,0.0004873812,0.0008871548,0.00017174109,0.000023159915],"category_scores_gemma":[0.0017168587,0.00022067838,0.00031903284,0.0031808876,0.0021146373,0.0006538336,0.00025393924,0.000736715,1.5939696e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044283466,0.00047102728,0.9805636,0.00032386836,0.00008212925,0.000014233544,0.011690124,0.000054144555,0.000037555837,0.00027697498,0.0002997686,0.005743774],"study_design_scores_gemma":[0.003595855,0.0011921377,0.9165056,0.0010622098,0.000039227518,9.215791e-7,0.034427453,0.00022538612,0.000007975437,0.041849103,0.000704623,0.00038955957],"about_ca_topic_score_codex":0.0034417897,"about_ca_topic_score_gemma":0.0251948,"teacher_disagreement_score":0.06405802,"about_ca_system_score_codex":0.00014861271,"about_ca_system_score_gemma":0.00019239658,"threshold_uncertainty_score":0.9995264},"labels":[],"label_agreement":null},{"id":"W2291801466","doi":"10.14288/1.0093889","title":"Urban population density distribution: a contribution from the Vancouver case","year":2010,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Distribution (mathematics); Population; Geography; Mathematics; Demography; Sociology","score_opus":0.006428095638079394,"score_gpt":0.1954965360587433,"score_spread":0.1890684404206639,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2291801466","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99723166,0.000028098988,0.0006175234,0.0001867998,0.0005591052,0.00023174545,0.0007231007,0.00006523298,0.00035675155],"genre_scores_gemma":[0.9992777,0.0000066337197,0.000048314516,0.000026078782,0.00017567805,2.7414612e-7,0.0002177708,0.0000033029526,0.00024421964],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99910796,0.00009999735,0.00010285937,0.0002496474,0.00024955012,0.00018998196],"domain_scores_gemma":[0.99920183,0.00009411001,0.00011989541,0.00022447019,0.0002575741,0.00010209312],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000414981,0.000030611704,0.0001410602,0.000005947483,0.0012995771,0.000108856555,0.000239431,0.00014445129,0.00039092888],"category_scores_gemma":[0.000107437605,0.00008326477,0.000104146886,0.00022545925,0.0004909459,0.00045829915,0.00003466126,0.00020345171,0.000006718075],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008727792,0.00006396868,0.9427264,0.0000031405702,0.000014008614,0.00022303447,0.00060814864,1.4850447e-7,0.000032858796,0.00002348529,0.015474301,0.040821828],"study_design_scores_gemma":[0.00038130773,0.0000073673505,0.9929013,0.000013582395,0.000049097907,0.000006093735,0.0018586253,0.000030631243,5.995529e-7,0.0010489734,0.0036029313,0.00009945591],"about_ca_topic_score_codex":0.884519,"about_ca_topic_score_gemma":0.9966925,"teacher_disagreement_score":0.11217352,"about_ca_system_score_codex":0.00007848789,"about_ca_system_score_gemma":0.000080022764,"threshold_uncertainty_score":0.9995427},"labels":[],"label_agreement":null},{"id":"W2292618918","doi":"","title":"Exploring Spatial Patterns of Pedestrian Injury by Age and Severity in the City of Toronto, Canada","year":2016,"lang":"en","type":"article","venue":"Transportation Research Board 95th Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Pedestrian; Geography; Demography; Injury prevention; Poison control; Environmental health; Gerontology; Medicine; Sociology","score_opus":0.10792218560025754,"score_gpt":0.38212199643506733,"score_spread":0.2741998108348098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2292618918","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99417686,0.00019331936,0.00013247089,0.0017857959,0.000107317755,0.0012347066,0.0016144679,0.00002987809,0.00072519796],"genre_scores_gemma":[0.99765414,0.0016172169,0.0000824932,0.000026019394,0.00009848648,0.00021314781,0.000107514345,0.00002579323,0.00017518224],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.990788,0.0017694155,0.0012049132,0.00068963866,0.004309098,0.0012389298],"domain_scores_gemma":[0.9957996,0.0017159337,0.00024511194,0.00044652686,0.0013808067,0.00041203023],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009014212,0.00024685604,0.00049084635,0.0002434335,0.0005935249,0.000057952464,0.00086076563,0.00018172282,0.0004070014],"category_scores_gemma":[0.00049675617,0.00018720515,0.00011615293,0.00080225186,0.0013211712,0.0012507543,0.000011031994,0.000693531,8.687735e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00059476646,0.00020662897,0.9628705,0.00029139273,0.000024992227,0.000056116663,0.024226822,0.0000012107613,0.0016753739,0.0007535027,0.0003156411,0.008983062],"study_design_scores_gemma":[0.00081368507,0.0002108662,0.9668951,0.00023440884,0.000014049002,2.092221e-8,0.023898875,0.0000015479235,0.0023330548,0.00038518666,0.0050105685,0.00020265124],"about_ca_topic_score_codex":0.99062604,"about_ca_topic_score_gemma":0.99785537,"teacher_disagreement_score":0.0087804105,"about_ca_system_score_codex":0.00035335062,"about_ca_system_score_gemma":0.0015670027,"threshold_uncertainty_score":0.7634005},"labels":[],"label_agreement":null},{"id":"W2293257567","doi":"10.3138/cart.51.1.3230","title":"Analyzing Potential Spatial Access to Primary Care Services with an Enhanced Floating Catchment Area Method","year":2016,"lang":"en","type":"article","venue":"Cartographica The International Journal for Geographic Information and Geovisualization","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Catchment area; Computer science; Population; Selection (genetic algorithm); Service (business); Gaussian; Drainage basin; Geography; Cartography; Machine learning; Business; Medicine","score_opus":0.012285976545095875,"score_gpt":0.32769355609913753,"score_spread":0.31540757955404164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2293257567","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.46365374,0.000044322103,0.533227,0.0017693688,0.0005151162,0.00045877908,0.0000469181,0.000048328096,0.00023641165],"genre_scores_gemma":[0.9964018,0.00022749613,0.0016125367,0.0010465542,0.00039195738,0.000042863467,0.0002472906,0.000009750322,0.000019742078],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981107,0.00012507226,0.00051792216,0.00019842535,0.00076486944,0.00028297017],"domain_scores_gemma":[0.99741596,0.000090713416,0.0004264396,0.00014075224,0.0017213931,0.00020473017],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001091268,0.00016673116,0.0001582506,0.0005610925,0.0012927544,0.0011417706,0.0006569213,0.00008987772,0.000041234933],"category_scores_gemma":[0.000044421173,0.00010036545,0.00012546346,0.00049044704,0.00013585425,0.0033760406,0.000057282374,0.000088313325,9.2420754e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016805073,0.00011833753,0.49217063,0.00017762293,0.0004688083,0.0000034280292,0.04465114,0.0014965908,0.0016163606,0.006686967,0.00010218061,0.45082742],"study_design_scores_gemma":[0.010053521,0.0015388235,0.835238,0.0016857043,0.00079283334,0.000048492566,0.05301184,0.0061946753,0.0046325233,0.011366569,0.07327659,0.0021604276],"about_ca_topic_score_codex":0.0011875019,"about_ca_topic_score_gemma":0.003972203,"teacher_disagreement_score":0.53274804,"about_ca_system_score_codex":0.00008106809,"about_ca_system_score_gemma":0.00014685396,"threshold_uncertainty_score":0.99989516},"labels":[],"label_agreement":null},{"id":"W2293836250","doi":"","title":"Characterisation of Accessibility in Halifax, Canada: Developing a Composite Network-distance-based Accessibility Measure","year":2016,"lang":"en","type":"article","venue":"Transportation Research Board 95th Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Destinations; Transport engineering; Business; Recreation; Government (linguistics); Public transport; Geography; Service (business); Likert scale; Tourism; Marketing; Engineering; Psychology","score_opus":0.07858532868026175,"score_gpt":0.38791475916916157,"score_spread":0.3093294304888998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2293836250","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.985917,0.00022565373,0.003790764,0.0051670135,0.00029041443,0.002535634,0.00090748933,0.000155305,0.0010107443],"genre_scores_gemma":[0.99681735,0.00015905137,0.001605311,0.000088660425,0.00024551677,0.00040810517,0.00036654988,0.00006452715,0.0002449373],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9825831,0.0037746113,0.002537792,0.0016765904,0.006898954,0.002528938],"domain_scores_gemma":[0.98868155,0.0026941595,0.00061056385,0.00088979467,0.0063546323,0.0007692836],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.018764026,0.00049156556,0.00094214943,0.000885006,0.0014374458,0.00017358467,0.001545935,0.0004950235,0.00051791087],"category_scores_gemma":[0.0012497844,0.00043206642,0.00025833075,0.003968817,0.0022153496,0.0019275631,0.00001941281,0.0013211332,0.000011187729],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018744775,0.00030788837,0.98211306,0.00051338854,0.00004182849,0.00007576732,0.0057138437,0.00014397102,0.002049134,0.002239211,0.0006299327,0.0042974968],"study_design_scores_gemma":[0.0019121232,0.000110323635,0.9843013,0.0009818783,0.000021642034,2.4875467e-8,0.0031029454,0.0000469229,0.0030247278,0.002389217,0.0036113472,0.0004975072],"about_ca_topic_score_codex":0.687687,"about_ca_topic_score_gemma":0.98117834,"teacher_disagreement_score":0.29349136,"about_ca_system_score_codex":0.0019225497,"about_ca_system_score_gemma":0.009836714,"threshold_uncertainty_score":0.99986255},"labels":[],"label_agreement":null},{"id":"W2294375602","doi":"10.14288/1.0094350","title":"Accessibility and economic growth : a study of spatial differences in forest industry financing in British Columbia","year":2010,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business; Finance; Forest industry; Forestry; Agricultural economics; Geography; Economics","score_opus":0.011366564387520086,"score_gpt":0.2079178401635936,"score_spread":0.1965512757760735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2294375602","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99875563,0.00002397952,0.0000034751422,0.000021172662,0.00015211692,0.0005234086,0.00008360107,0.000021072045,0.00041553573],"genre_scores_gemma":[0.9997794,0.000025827863,0.000031144184,0.0000040614773,0.00003069368,0.000001624603,0.0000037269292,0.0000061070496,0.00011738923],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99855137,0.00012751778,0.0002993941,0.0005168734,0.00021529384,0.00028955378],"domain_scores_gemma":[0.9993146,0.00008770189,0.00020528713,0.00019275535,0.00008657113,0.00011310421],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000702634,0.00004371834,0.00042427843,0.000048773254,0.0002794474,0.00026910912,0.00047996707,0.00029604178,0.00025248338],"category_scores_gemma":[0.00009235634,0.0001780958,0.00005452155,0.00028830572,0.00076789886,0.00071680895,0.00011580483,0.00048483242,4.986569e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007171994,0.00048693584,0.94576335,0.000044495846,0.000006716247,0.00006144876,0.001989636,4.4606824e-7,0.000008713336,4.328127e-7,0.000021916689,0.05160875],"study_design_scores_gemma":[0.0014316506,0.000077182216,0.985193,0.00010942169,0.000014895785,0.0000012876901,0.012192675,0.0000399522,1.32769e-7,0.00077268225,0.00000320599,0.00016387485],"about_ca_topic_score_codex":0.9949043,"about_ca_topic_score_gemma":0.9999721,"teacher_disagreement_score":0.051444873,"about_ca_system_score_codex":0.00008723173,"about_ca_system_score_gemma":0.00029808484,"threshold_uncertainty_score":0.72625357},"labels":[],"label_agreement":null},{"id":"W2294785334","doi":"10.14288/1.0102248","title":"Transit travel to the urban core of Great Vancouver.","year":2011,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Core (optical fiber); Geography; Transport engineering; Computer science; Engineering; Telecommunications","score_opus":0.026020052879572923,"score_gpt":0.20442774594158544,"score_spread":0.1784076930620125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2294785334","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97623926,0.000054098342,0.00050754676,0.00007567356,0.00019801901,0.00028444413,0.0001357733,0.000029579993,0.022475589],"genre_scores_gemma":[0.99701023,0.000022360779,0.00022245786,0.000040403578,0.00003407063,3.1710383e-7,0.0000028737857,0.000005801496,0.002661503],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99907523,0.00004910282,0.00012022745,0.00024184941,0.00029402462,0.00021958404],"domain_scores_gemma":[0.99934745,0.000026407013,0.00008689261,0.00024107553,0.00016597878,0.00013218315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030907174,0.000033494634,0.0002076791,0.000022559449,0.0003939545,0.000019948346,0.0006173649,0.0000869565,0.00079064985],"category_scores_gemma":[0.000015441397,0.00009002799,0.00014515991,0.00037881688,0.00061957934,0.00024882218,0.0000263914,0.000088976165,0.000008280051],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054987482,0.00028195488,0.7090976,0.00006911727,0.000060815895,0.00006850061,0.0464739,0.0000012187414,0.00012392971,0.000035564266,0.028125847,0.21560653],"study_design_scores_gemma":[0.00030024012,0.000051914536,0.98538345,0.00004312944,0.000046429894,4.0478537e-7,0.012103971,0.0000030557947,0.0000033128736,0.00046241307,0.0014980349,0.00010366243],"about_ca_topic_score_codex":0.57583994,"about_ca_topic_score_gemma":0.9722044,"teacher_disagreement_score":0.39636445,"about_ca_system_score_codex":0.00003647402,"about_ca_system_score_gemma":0.000116169416,"threshold_uncertainty_score":0.86570615},"labels":[],"label_agreement":null},{"id":"W2295160447","doi":"10.1007/s12205-016-0693-6","title":"Effects of street pattern, traffic, road infrastructure, socioeconomic and demographic characteristics on public transit ridership","year":2016,"lang":"en","type":"article","venue":"KSCE Journal of Civil Engineering","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Public transport; Socioeconomic status; Business; Transport engineering; Geography; Population; Environmental health; Engineering","score_opus":0.007346489977617931,"score_gpt":0.2108702528448214,"score_spread":0.20352376286720344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2295160447","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99643147,0.00027940143,0.0023933884,0.0004192484,0.00031676143,0.00008031142,0.000008037312,0.000018762124,0.00005264163],"genre_scores_gemma":[0.9993793,0.00029547868,0.00003275976,0.000021320364,0.00024890192,9.777033e-7,4.1761913e-7,0.000013223962,0.000007638205],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99897397,0.00004540496,0.00040652097,0.00011418028,0.00021831832,0.00024162239],"domain_scores_gemma":[0.99918324,0.00023905389,0.00025638912,0.00007847468,0.00007303189,0.00016979576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047476855,0.00012969036,0.0003106988,0.00018184863,0.000061654966,0.00003641835,0.00020469964,0.000101462145,0.00007209364],"category_scores_gemma":[0.00011394227,0.00009803362,0.0001308095,0.000087376575,0.000115405644,0.00036124405,0.0000055806727,0.00018634951,5.798873e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000674076,0.00014422099,0.8309428,0.00055462186,0.00025608574,0.000031105454,0.0037005546,0.0003495788,0.0068413704,0.00037052843,0.000157899,0.15658385],"study_design_scores_gemma":[0.0006865434,0.00011480321,0.9974279,0.00025264558,0.00004918565,0.0000012359372,0.000089875284,0.000073521354,0.00060718635,0.0001034021,0.00044973704,0.00014398055],"about_ca_topic_score_codex":0.00001556507,"about_ca_topic_score_gemma":0.0005275387,"teacher_disagreement_score":0.1664851,"about_ca_system_score_codex":0.00005282164,"about_ca_system_score_gemma":0.00007503365,"threshold_uncertainty_score":0.39976948},"labels":[],"label_agreement":null},{"id":"W2295758279","doi":"10.1186/s12966-016-0357-y","title":"NEWS for Africa: adaptation and reliability of a built environment questionnaire for physical activity in seven African countries","year":2016,"lang":"en","type":"article","venue":"International Journal of Behavioral Nutrition and Physical Activity","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":76,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Children's Hospital of Eastern Ontario","funders":"National Heart, Lung, and Blood Institute; Canadian Institutes of Health Research; National Institutes of Health; International Development Research Centre","keywords":"Built environment; Psychological intervention; Walkability; Socioeconomic status; Environmental health; Scale (ratio); Geography; Psychology; Gerontology; Medicine; Socioeconomics; Population; Sociology; Nursing","score_opus":0.04541959531376463,"score_gpt":0.3473321517360528,"score_spread":0.3019125564222882,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2295758279","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99002403,0.000018881872,0.005754421,0.0035640956,0.0000909229,0.0003463233,0.00018498812,0.0000055228365,0.000010840991],"genre_scores_gemma":[0.9992627,0.000063547974,0.0003282218,0.000003858268,0.0002741467,0.00004030238,0.0000018548882,0.0000047330423,0.000020625466],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.999113,0.00009171357,0.00017063563,0.00016669974,0.0003393752,0.00011854132],"domain_scores_gemma":[0.9990367,0.00030968228,0.00027450887,0.000052093445,0.0002481269,0.00007887193],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029358955,0.00009092543,0.00024398661,0.000062226776,0.000073803116,0.000028325736,0.00010756515,0.00005309848,0.000003700449],"category_scores_gemma":[0.000063380445,0.0000692712,0.00012572487,0.00004889874,0.00032665711,0.0007925422,0.000015565485,0.00008233667,1.2636e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.012753969,0.027482715,0.29266015,0.00030938658,0.000092607384,0.000008645415,0.027975842,0.0000265695,0.059432533,0.0051328517,0.00020151542,0.57392323],"study_design_scores_gemma":[0.0058110487,0.0013526427,0.91031265,0.00041607855,0.00015079642,0.0000018180915,0.0015994629,0.00059537165,0.015667776,0.0586537,0.005098166,0.0003404816],"about_ca_topic_score_codex":0.00066804833,"about_ca_topic_score_gemma":0.00041819055,"teacher_disagreement_score":0.61765254,"about_ca_system_score_codex":0.00015655004,"about_ca_system_score_gemma":0.00006634915,"threshold_uncertainty_score":0.28247976},"labels":[],"label_agreement":null},{"id":"W2296167984","doi":"10.1139/cjce-2015-0336","title":"Myopic choice or rational decision making? An investigation into mode choice preference structures in competitive modal arrangements in a multimodal urban area, the City of Toronto","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Modal; Mode choice; Preference; Mode (computer interface); Discrete choice; Sample (material); Empirical research; Phenomenon; Computer science; Economics; Transport engineering; Econometrics; Operations research; Microeconomics; Engineering; Mathematics; Statistics; Public transport","score_opus":0.0285080893922728,"score_gpt":0.283211709928796,"score_spread":0.25470362053652323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2296167984","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966817,0.00016215084,0.002475596,0.00012687333,0.00019980535,0.00014665436,0.00001604479,0.0000040787977,0.00018708174],"genre_scores_gemma":[0.999213,0.0000071035183,0.00057579676,0.000025699333,0.00015342607,0.000004206709,0.0000015581388,0.000006288609,0.000012947283],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989108,0.00006741848,0.00038672614,0.00012824115,0.0002859595,0.00022085916],"domain_scores_gemma":[0.99910665,0.00028107257,0.00015146242,0.000105996674,0.00014255483,0.00021227358],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004470558,0.00010083412,0.00017295287,0.00012215908,0.0000874931,0.000037632668,0.0003524879,0.000071166156,0.00030350365],"category_scores_gemma":[0.0005413408,0.000067222114,0.000036136513,0.0001644629,0.00011519788,0.0008541029,0.000006971479,0.00014455986,1.1252482e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029687195,0.000011329769,0.98150975,0.000012617078,0.000009722946,0.0000053962535,0.011189836,0.004242998,0.000501723,0.0007568361,0.000014172616,0.0017159322],"study_design_scores_gemma":[0.0004542193,0.000032180822,0.9949627,0.0003484915,0.000005882853,3.8762826e-7,0.00040953877,0.0018099915,0.000058742728,0.0016522156,0.0001750789,0.00009058301],"about_ca_topic_score_codex":0.14785005,"about_ca_topic_score_gemma":0.9943295,"teacher_disagreement_score":0.8464794,"about_ca_system_score_codex":0.0006022958,"about_ca_system_score_gemma":0.00084555196,"threshold_uncertainty_score":0.8578245},"labels":[],"label_agreement":null},{"id":"W2296822916","doi":"","title":"The Sheppard Subway Line Toronto: Changes in Residential Land Use Intensity 2001 to 2011","year":2016,"lang":"en","type":"article","venue":"Transportation Research Board 95th Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geography; Subway station; Residential area; Pedestrian; Land use; Line (geometry); Transport engineering; Environmental science; Civil engineering; Engineering; Archaeology; Mathematics","score_opus":0.09680037562127077,"score_gpt":0.4154210679872408,"score_spread":0.31862069236597007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2296822916","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9651216,0.00026837,0.00027602084,0.029114531,0.000501782,0.0027658255,0.00049779966,0.0002237079,0.0012303556],"genre_scores_gemma":[0.9859815,0.002776487,0.0005386207,0.0001690466,0.000633135,0.0005784723,0.000120318444,0.00008009677,0.009122305],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98596185,0.002316981,0.001373849,0.0014722948,0.0055973623,0.0032776773],"domain_scores_gemma":[0.98878247,0.0034664953,0.00020562598,0.00094875484,0.00524593,0.0013507002],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.017964039,0.0004438439,0.00062252366,0.0007573434,0.002666962,0.00055346504,0.0016139017,0.00046044006,0.0016053153],"category_scores_gemma":[0.0021750703,0.00032201115,0.00023041459,0.0020165958,0.0020811504,0.0021113453,0.000031600634,0.0012636284,0.00027877226],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003946548,0.00032209308,0.94499624,0.00009146274,0.000063567226,0.00016256318,0.020366386,0.000039033523,0.002509044,0.002588518,0.018305033,0.0066095064],"study_design_scores_gemma":[0.0012365893,0.0004098254,0.8924497,0.00025865677,0.00001958871,6.685413e-8,0.0097045805,0.000007845216,0.0014154643,0.0011668731,0.092896685,0.00043412283],"about_ca_topic_score_codex":0.3769635,"about_ca_topic_score_gemma":0.9730323,"teacher_disagreement_score":0.59606874,"about_ca_system_score_codex":0.00086496584,"about_ca_system_score_gemma":0.0011555548,"threshold_uncertainty_score":0.99992317},"labels":[],"label_agreement":null},{"id":"W2296895905","doi":"","title":"Speed, Travel Time, and Delay for Intersections and Road Segments in Montreal Using Cyclist Smartphone GPS Data","year":2016,"lang":"en","type":"article","venue":"Transportation Research Board 95th Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Intersection (aeronautics); Transport engineering; Global Positioning System; Geometric design; Work (physics); Level of service; Computer science; Morning; Engineering; Telecommunications","score_opus":0.11416862917479148,"score_gpt":0.4253606814032186,"score_spread":0.3111920522284271,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2296895905","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99032664,0.0002247824,0.00183892,0.0017378102,0.0001355509,0.0024002811,0.002472135,0.00009101498,0.00077286334],"genre_scores_gemma":[0.99507654,0.0006713888,0.0018748627,0.000035342742,0.00023153654,0.00014160787,0.00056243205,0.000062690044,0.0013436229],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9924362,0.00087877456,0.0011410707,0.0015275963,0.0023270722,0.0016893414],"domain_scores_gemma":[0.99534154,0.0014521129,0.0001810549,0.00062878197,0.0016080004,0.00078849355],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.009178857,0.00035289727,0.0005501719,0.0010985241,0.0015769672,0.0002479966,0.0008134814,0.00036056363,0.00027563336],"category_scores_gemma":[0.00068938493,0.0003161074,0.000107533764,0.0014290794,0.0021636721,0.0020805905,0.000030562103,0.00076501677,0.000019950348],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024033259,0.000579434,0.93453413,0.00034653945,0.00012498275,0.00011443315,0.024418721,0.000051772982,0.011794824,0.00085297675,0.0012615633,0.023517283],"study_design_scores_gemma":[0.0029812453,0.00024134052,0.98096114,0.00034308154,0.000048749982,2.8376084e-7,0.010591636,0.0008426443,0.00033623836,0.0016903658,0.0015478123,0.0004154415],"about_ca_topic_score_codex":0.18427566,"about_ca_topic_score_gemma":0.53035307,"teacher_disagreement_score":0.34607738,"about_ca_system_score_codex":0.0002712144,"about_ca_system_score_gemma":0.0006132269,"threshold_uncertainty_score":0.99992913},"labels":[],"label_agreement":null},{"id":"W2297224332","doi":"","title":"Are we connected? Assessing bicycle network performance through directness and connectivity measures, a Montreal, Canada case study","year":2016,"lang":"en","type":"article","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transport engineering; Popularity; TRIPS architecture; Work (physics); Cycling; Scale (ratio); Geography; Computer science; Business; Engineering; Cartography; Psychology","score_opus":0.028900435055090865,"score_gpt":0.27465736723654005,"score_spread":0.24575693218144917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2297224332","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9812175,0.0016395556,0.010657134,0.003828571,0.00024368944,0.0011185235,0.000046457135,0.0004934503,0.00075513485],"genre_scores_gemma":[0.99766946,0.00035581194,0.0006540339,0.00041656225,0.00025776104,0.00025216787,0.0000020431946,0.00004516589,0.00034698387],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99650764,0.00060332025,0.0004866405,0.00072432344,0.00063652196,0.0010415682],"domain_scores_gemma":[0.99776584,0.00055637595,0.00041703848,0.0006311959,0.0002288138,0.00040073617],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0015029042,0.00037863568,0.00055782933,0.00008594255,0.0017829235,0.00030731875,0.0003988214,0.00022749467,0.000039007205],"category_scores_gemma":[0.00034255447,0.00030134915,0.00008240908,0.0006957894,0.0003399389,0.00129138,0.000108544264,0.00031995054,6.869702e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052260213,0.00023790628,0.96612704,0.000024324117,0.000052804935,0.0010728746,0.0015450906,0.000076077784,0.000062758656,0.0001575785,0.0007995949,0.029791662],"study_design_scores_gemma":[0.00087224465,0.000071006965,0.98583037,0.00017342297,0.000086074615,0.000095711555,0.006719729,0.00086514564,0.00026100996,0.00072490465,0.0037007686,0.00059963466],"about_ca_topic_score_codex":0.97453976,"about_ca_topic_score_gemma":0.9980737,"teacher_disagreement_score":0.029192029,"about_ca_system_score_codex":0.0008621589,"about_ca_system_score_gemma":0.0011075448,"threshold_uncertainty_score":0.99994385},"labels":[],"label_agreement":null},{"id":"W2297653956","doi":"","title":"Gender Differences in School and Work Commuting Mode Through the Life Cycle: Exploring Trends in Greater Toronto and Hamilton Area over Time (1986-2011)","year":2016,"lang":"en","type":"article","venue":"Transportation Research Board 95th Annual Meeting","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Mode (computer interface); Geography; Demography; Sociology; Engineering; Computer science","score_opus":0.11819473435955781,"score_gpt":0.3661160507424268,"score_spread":0.24792131638286902,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2297653956","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99572176,0.0005702272,0.000025325257,0.00094638823,0.000048964197,0.0002939969,0.00003407379,0.000049159073,0.0023100975],"genre_scores_gemma":[0.9988322,0.00040993496,0.00012855315,0.000053740358,0.000102551545,0.00008746107,0.0000079638185,0.000017094655,0.00036047425],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99698657,0.0005215886,0.00049109716,0.0004942331,0.0007636234,0.0007429158],"domain_scores_gemma":[0.9987933,0.0005758266,0.000084839965,0.00020095645,0.00011847028,0.00022663019],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020586534,0.0001846736,0.00028101492,0.00013886919,0.0005804599,0.00013079161,0.00028863605,0.00012559602,0.00050648255],"category_scores_gemma":[0.00014112005,0.00012036577,0.000045867913,0.00042429182,0.0005397713,0.0016078382,0.000017593937,0.00035640542,0.000005448313],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013597446,0.000030511535,0.92192394,0.000020201533,0.000011184333,0.000007741766,0.073033534,0.000009354991,0.00007433974,0.00016476196,0.00005304258,0.0045354017],"study_design_scores_gemma":[0.0006226063,0.000027447748,0.9824629,0.00020491415,0.0000088100405,2.6737178e-8,0.0156248575,0.000058625912,0.000023719786,0.00061745004,0.00017565888,0.00017298124],"about_ca_topic_score_codex":0.064720616,"about_ca_topic_score_gemma":0.13628826,"teacher_disagreement_score":0.07156763,"about_ca_system_score_codex":0.00012817825,"about_ca_system_score_gemma":0.00008953945,"threshold_uncertainty_score":0.94150746},"labels":[],"label_agreement":null},{"id":"W2297812218","doi":"","title":"The Impacts of Universal Bus Pass on University Student Travel Behavior","year":2016,"lang":"en","type":"article","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sustainability; Public transport; Business; Sustainable transport; Travel time; Transport engineering; Engineering","score_opus":0.01206977205237978,"score_gpt":0.2567441157928312,"score_spread":0.2446743437404514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2297812218","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.984494,0.00011858264,0.0071246154,0.0045301663,0.00013582352,0.0006037487,0.00007649217,0.00017055671,0.0027460717],"genre_scores_gemma":[0.99643916,0.00029593738,0.00034250307,0.00010297934,0.0000708783,0.000013173125,0.0000021281492,0.000015507461,0.002717741],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981718,0.00022096746,0.00024850544,0.00028460432,0.00052103156,0.00055308844],"domain_scores_gemma":[0.99859315,0.00028583105,0.0002008305,0.0005095624,0.00013748086,0.00027314178],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084742194,0.00017040841,0.00021338096,0.00013237866,0.0007046736,0.000056191577,0.00083825685,0.00018260797,0.000059892172],"category_scores_gemma":[0.000094940515,0.000113664355,0.00017236068,0.0003942226,0.000549046,0.00031889096,0.00006627824,0.00017576045,0.000007327572],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024100626,0.00046221048,0.89371836,0.0000061014052,0.000041227126,0.000059398837,0.0018012978,0.000004140553,0.0055972044,0.07208251,0.00063095917,0.025355598],"study_design_scores_gemma":[0.0005055408,0.00012270034,0.9877807,0.00003579695,0.000049198366,5.941386e-7,0.0024538233,0.000012885889,0.0038165327,0.00045516313,0.0045854473,0.00018164054],"about_ca_topic_score_codex":0.033711646,"about_ca_topic_score_gemma":0.068565995,"teacher_disagreement_score":0.094062336,"about_ca_system_score_codex":0.000713582,"about_ca_system_score_gemma":0.00042259798,"threshold_uncertainty_score":0.97272295},"labels":[],"label_agreement":null},{"id":"W2297936278","doi":"","title":"Optimization Scenarios of Home-Work Distances in Montreal","year":2016,"lang":"en","type":"article","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"TRIPS architecture; Work (physics); Transport engineering; Demographic economics; Business; Kilometer; Journey to work; Geography; Economics; Engineering; Public transport","score_opus":0.009956624597612772,"score_gpt":0.24193787953337115,"score_spread":0.23198125493575839,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2297936278","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77284247,0.00069715804,0.21931545,0.003384263,0.000120501936,0.0005641185,0.00003838643,0.00023579856,0.0028018306],"genre_scores_gemma":[0.9883049,0.0003706778,0.009860956,0.00011600065,0.00009109519,0.00010435559,0.0000070870983,0.000019755415,0.0011251626],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99805146,0.00016613954,0.00049597357,0.00034331437,0.0003997652,0.00054334657],"domain_scores_gemma":[0.99893266,0.00015686442,0.0002257349,0.0003952202,0.0001085392,0.00018098057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085036166,0.0001766296,0.00031203355,0.00024019714,0.00017984271,0.000053621705,0.00047745297,0.00022635188,0.00020097049],"category_scores_gemma":[0.0001855834,0.00013885566,0.00011628208,0.00086256856,0.00034673137,0.0005804989,0.000040090996,0.00013501583,0.0000046365235],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012123026,0.00018750971,0.9732188,0.000015330575,0.000009475442,0.00001019659,0.0012130724,0.0016459291,0.00024566628,0.0036442056,0.00023124843,0.019457353],"study_design_scores_gemma":[0.00071360427,0.000049479837,0.98984915,0.00018001742,0.000018014978,3.1683345e-7,0.0004064544,0.001582165,0.00095901435,0.005130685,0.0007774713,0.0003335984],"about_ca_topic_score_codex":0.05481806,"about_ca_topic_score_gemma":0.18974829,"teacher_disagreement_score":0.21546243,"about_ca_system_score_codex":0.0003605564,"about_ca_system_score_gemma":0.0002285929,"threshold_uncertainty_score":0.951476},"labels":[],"label_agreement":null},{"id":"W2298423137","doi":"","title":"Indicators for Community Action: Built Environment and Community Health","year":2007,"lang":"en","type":"article","venue":"Journal of rural and community development","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Recreation; Business; Agency (philosophy); Environmental planning; Built environment; Government (linguistics); Environmental resource management; Process management; Geography; Political science; Sociology; Engineering; Economics","score_opus":0.06138166129636718,"score_gpt":0.34009087918425923,"score_spread":0.27870921788789205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2298423137","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967305,0.0005155314,0.00095602643,0.0010269477,0.00012875213,0.00021278475,0.000004918606,0.000014387648,0.00041016805],"genre_scores_gemma":[0.99703383,0.00053796597,0.0019436431,0.00030353162,0.000058021007,0.0000029810953,0.000011420468,0.000006670575,0.00010190683],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99673927,0.0019834065,0.00061185285,0.000039852257,0.00032010162,0.0003055397],"domain_scores_gemma":[0.99796706,0.0009213178,0.000468449,0.00022629529,0.00007540096,0.00034145068],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.013880875,0.00013908566,0.00031569542,0.00013483252,0.00774984,0.0000687507,0.00047167335,0.00009339967,0.000025928388],"category_scores_gemma":[0.00010257398,0.00011863463,0.000062845094,0.00013902044,0.0004538184,0.00030257748,0.0001427271,0.0021740345,6.468142e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022565361,0.001244008,0.4085617,0.00018327337,0.00010550157,0.0000011805201,0.20471205,8.4946157e-7,0.00006128849,0.0001403336,0.00024634408,0.38451782],"study_design_scores_gemma":[0.00053027226,0.0003110815,0.8053404,0.00007827651,0.000014606919,0.000005322427,0.15977266,2.6348212e-7,0.00020725888,0.0013270273,0.032286987,0.00012582437],"about_ca_topic_score_codex":0.010039644,"about_ca_topic_score_gemma":0.029966902,"teacher_disagreement_score":0.3967787,"about_ca_system_score_codex":0.00030057304,"about_ca_system_score_gemma":0.0002890274,"threshold_uncertainty_score":0.9965526},"labels":[],"label_agreement":null},{"id":"W2299085546","doi":"","title":"The compact city and sustainable transport: Another look at the data","year":2011,"lang":"en","type":"article","venue":"Figshare","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Public transport; Metropolitan area; Census; Compact city; Centralisation; Geography; Sustainable transport; Regional science; Work (physics); Mode (computer interface); Population; Transport engineering; Political science; Demography; Urban planning; Computer science; Engineering; Sociology; Sustainability","score_opus":0.13518488453982327,"score_gpt":0.31324617319435,"score_spread":0.17806128865452672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2299085546","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2336824,0.006473515,0.000004944474,0.004217655,0.00017732661,0.0021679942,0.19264111,0.00030942983,0.5603256],"genre_scores_gemma":[0.976456,0.000013820481,0.0000027416556,0.00017337299,0.000082409504,0.000011793504,0.0048179077,0.000007567491,0.01843438],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99907166,0.00006714405,0.000109611494,0.00021769314,0.00019011821,0.00034379557],"domain_scores_gemma":[0.9991383,0.00013132044,0.00005730031,0.00055458304,0.000058145564,0.000060357026],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00042402797,0.000078751975,0.00007838374,0.0000071979384,0.0015221897,0.00007206793,0.0008451782,0.000052389016,0.14014052],"category_scores_gemma":[0.00014902705,0.000042228407,0.000031971358,0.00011958559,0.00014786258,0.000348198,0.0000803218,0.00010331934,0.00011126977],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053030206,0.000058351343,0.29758206,0.0000645988,0.0000312705,0.000025708134,0.014263795,1.7758806e-7,0.0000018045744,0.00050299044,0.6856691,0.001747127],"study_design_scores_gemma":[0.0000627716,0.0000048967518,0.37064308,0.000023460647,0.000007930136,1.2637115e-7,0.0015197418,0.0000032053224,0.000029520797,0.00039618858,0.6272448,0.000064276],"about_ca_topic_score_codex":0.003374631,"about_ca_topic_score_gemma":0.02407017,"teacher_disagreement_score":0.7427736,"about_ca_system_score_codex":0.000028923547,"about_ca_system_score_gemma":0.00010800767,"threshold_uncertainty_score":0.9997777},"labels":[],"label_agreement":null},{"id":"W2299162916","doi":"10.1016/j.jtrangeo.2016.03.004","title":"Daily fluctuations in transit and job availability: A comparative assessment of time-sensitive accessibility measures","year":2016,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":156,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Transport engineering; Measure (data warehouse); Transit (satellite); Variable (mathematics); Service (business); Regression analysis; Transportation planning; Level of service; Constant (computer programming); Computer science; Public transport; Variables; Econometrics; Operations research; Business; Mathematics; Engineering; Marketing; Data mining","score_opus":0.02814261782452074,"score_gpt":0.3237857385919363,"score_spread":0.29564312076741556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2299162916","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9926687,0.0002479287,0.0033562786,0.0008052989,0.00010044388,0.00033010342,0.00007855024,0.000014256898,0.002398449],"genre_scores_gemma":[0.99859583,0.00022646175,0.0010503588,0.000024950414,0.000056151483,0.0000041395324,0.0000025070767,0.0000069520734,0.000032640026],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99718344,0.00033306924,0.0011148163,0.00029732185,0.00078131096,0.00029002514],"domain_scores_gemma":[0.99813133,0.00032321518,0.00048741495,0.00020145967,0.00065415195,0.00020239591],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028306658,0.00018316183,0.0006915183,0.0003968433,0.00016077812,0.000022500117,0.0002941359,0.0001267776,0.00022991146],"category_scores_gemma":[0.000042410964,0.00012715576,0.00036135767,0.0006852956,0.001110364,0.00088204537,0.0000056599397,0.00024553554,7.633468e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001758718,0.00030604377,0.9887072,0.00002814289,0.00010212693,0.000012763869,0.0056054587,0.000011533237,0.0032878348,0.000079311234,0.00001387665,0.0016698648],"study_design_scores_gemma":[0.001089329,0.00012846683,0.9948396,0.00015296224,0.00012752281,8.9270435e-7,0.00096884056,0.0000068158706,0.00050735974,0.0017745064,0.00025313877,0.00015053025],"about_ca_topic_score_codex":0.0008926475,"about_ca_topic_score_gemma":0.0061093303,"teacher_disagreement_score":0.0061324635,"about_ca_system_score_codex":0.00007015983,"about_ca_system_score_gemma":0.00044774526,"threshold_uncertainty_score":0.51852614},"labels":[],"label_agreement":null},{"id":"W2300019823","doi":"10.1016/j.jth.2016.02.011","title":"Public transit use and physical activity in community-dwelling older adults: Combining GPS and accelerometry to assess transportation-related physical activity","year":2016,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":46,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; British Columbia Centre of Excellence for Women's Health; University of British Columbia","funders":"Canadian Institutes of Health Research; Simon Fraser University; Michael Smith Health Research BC; University of British Columbia; Heart and Stroke Foundation of Canada","keywords":"Public transport; TRIPS architecture; Downtown; Physical activity; Demography; Transit (satellite); Poison control; Public health; Injury prevention; Geography; Gerontology; Medicine; Transport engineering; Environmental health; Physical therapy; Engineering","score_opus":0.09880454693428313,"score_gpt":0.3600828883584237,"score_spread":0.2612783414241406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2300019823","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9903057,0.00007238441,0.002326988,0.006562982,0.00013693448,0.0004620007,0.00006444055,0.000039991377,0.000028573764],"genre_scores_gemma":[0.99927694,0.0002579283,0.00017680769,0.00013128834,0.000103093866,0.0000061040605,0.0000050612925,0.000026883792,0.000015898719],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970967,0.00065071747,0.000596978,0.00034328652,0.0006919478,0.00062035216],"domain_scores_gemma":[0.9975509,0.0007941912,0.0004748721,0.0002150323,0.0002233944,0.00074159144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022027527,0.0002768953,0.00089498685,0.00032543894,0.0006156305,0.00009181044,0.0003265667,0.00016222794,0.000020430418],"category_scores_gemma":[0.00006416331,0.00021746596,0.00019391273,0.0007880341,0.00035276354,0.002703894,0.0000055963924,0.0011184753,7.107301e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00052535126,0.0024583254,0.8753787,0.00024539913,0.00006369064,0.00003105262,0.06637677,0.000012042882,0.001109384,0.00022942334,0.000008340985,0.0535615],"study_design_scores_gemma":[0.0021502466,0.0002909323,0.9941805,0.00061880477,0.00004698674,0.0000018854071,0.001784395,0.00003059756,0.00026773702,0.00028057495,0.00010401745,0.00024335006],"about_ca_topic_score_codex":0.0048526856,"about_ca_topic_score_gemma":0.013825368,"teacher_disagreement_score":0.11880175,"about_ca_system_score_codex":0.00020155779,"about_ca_system_score_gemma":0.0005565816,"threshold_uncertainty_score":0.88680047},"labels":[],"label_agreement":null},{"id":"W2300234412","doi":"","title":"Modelling the Spatial Distribution of Hybrid-Electric Vehicles in Windsor, Ontario","year":2016,"lang":"en","type":"article","venue":"Transportation Research Board 95th Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Census; Metropolitan area; Geography; Census tract; Distribution (mathematics); Spatial analysis; Windsor; Spatial distribution; Population; Economic geography; Cartography; Econometrics; Regional science; Economics; Demography; Environmental science; Mathematics","score_opus":0.06559287489032437,"score_gpt":0.36625128893394376,"score_spread":0.30065841404361937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2300234412","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9862951,0.00015497158,0.0065685236,0.0033217068,0.00013768519,0.0018327391,0.0004786151,0.000103750615,0.0011069166],"genre_scores_gemma":[0.99727887,0.00038580986,0.00020045259,0.000020114932,0.00019406529,0.0002778055,0.0002308648,0.000046379537,0.0013656606],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98829204,0.002000152,0.0015572986,0.0010259616,0.0051261685,0.0019983647],"domain_scores_gemma":[0.99303293,0.002241398,0.0002899025,0.00060405507,0.003346881,0.00048484365],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.012453222,0.0003359435,0.00053683046,0.0008429895,0.0014262971,0.00012882383,0.0011848776,0.00026871453,0.00049764937],"category_scores_gemma":[0.0004942612,0.00024735872,0.00028014003,0.0029186558,0.001981249,0.0011600677,0.000012322088,0.0015632858,0.000040848638],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016152621,0.00054243056,0.9435228,0.00016396536,0.0000603262,0.000091695394,0.031683672,0.003916617,0.0022730005,0.009019692,0.0007362209,0.006374327],"study_design_scores_gemma":[0.0016561361,0.0002972872,0.96598756,0.00035854804,0.000030849034,7.506025e-8,0.0064740805,0.0005461976,0.004366668,0.0070535997,0.012839262,0.0003897066],"about_ca_topic_score_codex":0.65992355,"about_ca_topic_score_gemma":0.8032276,"teacher_disagreement_score":0.14330406,"about_ca_system_score_codex":0.00085515145,"about_ca_system_score_gemma":0.0024086693,"threshold_uncertainty_score":0.99999785},"labels":[],"label_agreement":null},{"id":"W2300998463","doi":"10.14288/1.0103541","title":"Reducing car dependency in small-town British Columbia","year":2012,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geography; History","score_opus":0.01536620817673414,"score_gpt":0.20754303725954984,"score_spread":0.1921768290828157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2300998463","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9846096,0.00055070897,0.00004350924,0.000048380432,0.00036854626,0.00034066907,0.0000990787,0.0000967459,0.013842778],"genre_scores_gemma":[0.99329215,0.00017857733,0.00039251405,0.000026666163,0.00013355234,9.4682406e-7,0.000018123414,0.000013787142,0.005943656],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981726,0.00015204008,0.0002219915,0.00043534994,0.00034398178,0.0006740607],"domain_scores_gemma":[0.99908125,0.000056335506,0.00014594804,0.00025390592,0.00015519129,0.00030739332],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008698405,0.00004541727,0.0003274235,0.000034866072,0.0007417624,0.00039063513,0.0005680102,0.00022939738,0.0017858681],"category_scores_gemma":[0.00007975719,0.00023246519,0.00015839061,0.0005920882,0.00057549385,0.0011088199,0.00008390914,0.00025537578,0.000015483507],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000024243889,0.00020159694,0.8016373,0.00003359587,0.000011890418,0.00010522609,0.0020186056,7.4383615e-7,0.000028840463,8.8089763e-7,0.0016821418,0.19427674],"study_design_scores_gemma":[0.0005798313,0.000018161916,0.99043924,0.0001814299,0.000032838256,0.000008219735,0.0069869547,0.0000052247815,2.9252294e-7,0.00041310335,0.0010795592,0.00025517025],"about_ca_topic_score_codex":0.9854105,"about_ca_topic_score_gemma":0.99889,"teacher_disagreement_score":0.19402157,"about_ca_system_score_codex":0.00021365096,"about_ca_system_score_gemma":0.00025501466,"threshold_uncertainty_score":0.9991266},"labels":[],"label_agreement":null},{"id":"W2301136303","doi":"10.1371/journal.pone.0151544","title":"Neighbourhood Walkability and Daily Steps in Adults with Type 2 Diabetes","year":2016,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University Health Centre; McGill University","funders":"Canadian Institutes of Health Research; Heart and Stroke Foundation of Canada","keywords":"Walkability; Neighbourhood (mathematics); Built environment; Demography; Multilevel model; Level design; Context (archaeology); Medicine; Geography; Quartile; Gerontology; Environmental health; Physical activity; Confidence interval; Ecology; Physical therapy; Statistics","score_opus":0.022258021715493594,"score_gpt":0.22810742382569704,"score_spread":0.20584940211020344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2301136303","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99344414,0.00014432952,9.209664e-7,0.0008745999,0.000015994372,0.00021888799,0.000007455122,0.000043749737,0.0052499305],"genre_scores_gemma":[0.99929225,0.000055754466,0.00018761079,0.00003787454,0.000060008573,0.000009903628,0.0000012210166,0.000005685563,0.00034969457],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99911815,0.00004404671,0.0001230059,0.00023970871,0.00023838315,0.00023672823],"domain_scores_gemma":[0.99955493,0.000107679174,0.0000360919,0.00013168529,0.00007867198,0.00009091275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029985624,0.00007062766,0.00015165642,0.00002598239,0.0000862856,0.000024398745,0.0001160738,0.00005536964,0.00033761805],"category_scores_gemma":[0.000116305186,0.00004414531,0.000011525696,0.00018835429,0.00025777938,0.0003017667,0.000013567245,0.00006132146,0.000012891594],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057393274,0.000402546,0.99427736,0.00004106916,0.000013787989,8.306853e-7,0.0013525953,5.7134697e-9,0.00084481057,0.00011905887,0.0000055412993,0.0028849852],"study_design_scores_gemma":[0.0005011284,0.000084759115,0.9962311,0.00023811754,0.000016677626,4.882749e-9,0.00023798522,0.0000016563698,0.0013207499,0.0012410104,0.00003029937,0.000096540774],"about_ca_topic_score_codex":0.0006328294,"about_ca_topic_score_gemma":0.010226286,"teacher_disagreement_score":0.009593457,"about_ca_system_score_codex":0.000038931885,"about_ca_system_score_gemma":0.00005665629,"threshold_uncertainty_score":0.57065076},"labels":[],"label_agreement":null},{"id":"W2301925845","doi":"10.1016/j.socscimed.2016.01.030","title":"“Socioeconomic inequalities in children's accessibility to food retailing: Examining the roles of mobility and time”","year":2016,"lang":"en","type":"article","venue":"Social Science & Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Amorfix (Canada); General Electric (Canada); University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Socioeconomic status; Neighbourhood (mathematics); Overweight; Inequality; Obesity; Environmental health; Unhealthy food; Consumption (sociology); Geography; Childhood obesity; Food consumption; Demography; Population; Socioeconomics; Medicine; Sociology; Economics; Agricultural economics","score_opus":0.04132619208357063,"score_gpt":0.3222833809694177,"score_spread":0.2809571888858471,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2301925845","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99126846,0.00015230627,0.000022555165,0.004280844,0.000095389645,0.00044101215,0.00001343403,0.000031230804,0.0036947671],"genre_scores_gemma":[0.99943143,0.000016436972,0.000008850754,0.00016125692,0.00026895475,0.000016064243,7.152369e-7,0.0000047099825,0.00009157549],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99774927,0.00023604334,0.00049497385,0.00050006865,0.00056843046,0.00045121615],"domain_scores_gemma":[0.9988845,0.0003930956,0.00018050447,0.0002499725,0.00013401953,0.0001579267],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.008237476,0.00012622563,0.00034420428,0.00011014396,0.0007042028,0.000035452696,0.0007621619,0.00008176635,0.00024737115],"category_scores_gemma":[0.0012134883,0.00007100622,0.00003730023,0.0006393419,0.0069443495,0.0005666789,0.00009048658,0.0001160034,0.0000033076485],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015324278,0.000027461572,0.9290241,0.000005879712,0.0000038199496,9.1525386e-8,0.052427184,8.910396e-8,0.0016586258,0.0020870622,0.0000143403795,0.014736016],"study_design_scores_gemma":[0.00032769184,0.000086895794,0.9808344,0.000045377426,0.0000103935745,6.761107e-8,0.009277295,0.0000013542699,0.00037940004,0.008855744,0.000077294746,0.000104044164],"about_ca_topic_score_codex":0.001502153,"about_ca_topic_score_gemma":0.0030653384,"teacher_disagreement_score":0.05181034,"about_ca_system_score_codex":0.00020907326,"about_ca_system_score_gemma":0.00039158872,"threshold_uncertainty_score":0.9957582},"labels":[],"label_agreement":null},{"id":"W2302157414","doi":"","title":"Accessing the Toronto Subway: Access Mode and Catchment Areas","year":2016,"lang":"en","type":"article","venue":"Transportation Research Board 95th Annual Meeting","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Catchment area; Last mile (transportation); Mile; Transport engineering; Pedestrian; Service (business); Drainage basin; Geography; Transit (satellite); Telecommunications; Public transport; Engineering; Business; Cartography","score_opus":0.06617418838446575,"score_gpt":0.4218789865701638,"score_spread":0.35570479818569806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2302157414","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98268443,0.00050691766,0.00040347385,0.00675865,0.00014130326,0.0005941791,0.00008197869,0.00011410037,0.008714945],"genre_scores_gemma":[0.997894,0.0004312893,0.00015383218,0.000104952174,0.00030324713,0.0000836107,0.000011552622,0.0000193754,0.0009981222],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.996445,0.00047099064,0.00042380134,0.0005096605,0.0013315954,0.0008189456],"domain_scores_gemma":[0.99805295,0.0006753585,0.00011626212,0.00027649722,0.0005556309,0.00032332566],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.003041486,0.00016452829,0.0001985918,0.00006725979,0.0017864291,0.00037215906,0.00070910517,0.00011605661,0.00031881346],"category_scores_gemma":[0.00022144022,0.00010024144,0.000074867356,0.00035896804,0.0008641616,0.0022107093,0.000024536263,0.00023441945,0.000008443008],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014488741,0.00006753685,0.9268868,0.000055062796,0.000025961095,0.000012663452,0.03347165,0.000007917517,0.00054243545,0.0037711938,0.0008048001,0.03420908],"study_design_scores_gemma":[0.00053151685,0.000042928794,0.9618464,0.00019526876,0.000024207728,5.6096432e-8,0.019831197,0.00002113346,0.0007837951,0.002945937,0.013529361,0.00024820157],"about_ca_topic_score_codex":0.12564193,"about_ca_topic_score_gemma":0.33618698,"teacher_disagreement_score":0.21054503,"about_ca_system_score_codex":0.00021861591,"about_ca_system_score_gemma":0.00031061156,"threshold_uncertainty_score":0.9995131},"labels":[],"label_agreement":null},{"id":"W2302685394","doi":"10.1016/j.jth.2016.02.010","title":"International comparisons of the associations between objective measures of the built environment and transport-related walking and cycling: IPEN adult study","year":2016,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":247,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Division of Arctic Sciences; National Cancer Institute; Health Research Council of New Zealand; National Health and Medical Research Council; Medical Research Council; National Institutes of Health; Arctic Research Centre; Fogarty International Center; National Heart, Lung, and Blood Institute; Ministry of Education, Youth and Science; State Government of Victoria; Centers for Disease Control and Prevention; Ministerstvo Školství, Mládeže a Tělovýchovy; Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS); Centers for Disease Control and Prevention Foundation; Coca-Cola Foundation; ADC Foundation; Robert Wood Johnson Foundation","keywords":"Cycling; Built environment; Temperature cycling; Environmental science; Engineering; Geography; Thermal; Civil engineering; Meteorology","score_opus":0.048327950734726316,"score_gpt":0.3293762321347133,"score_spread":0.28104828139998694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2302685394","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99203277,0.0002460218,0.00029196983,0.0064404677,0.00021907063,0.00041890758,0.00012734006,0.000004642922,0.0002187983],"genre_scores_gemma":[0.9994161,0.00035677446,0.00007620734,0.00003028002,0.000069945345,0.000001609997,0.0000012444854,0.000007049852,0.000040778075],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99748635,0.00027827706,0.0010550296,0.00015291273,0.0008440226,0.00018337707],"domain_scores_gemma":[0.9981281,0.00018908274,0.0012508922,0.00014059497,0.00017586122,0.00011545945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021252201,0.00010870806,0.00043903958,0.000059834438,0.0003599686,0.0000068980617,0.00039391711,0.000074054646,0.0000279076],"category_scores_gemma":[0.000055989785,0.000057564423,0.00017898886,0.00015365801,0.0004032523,0.00021151209,0.0000099703,0.00026563864,8.00526e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030978088,0.00021826164,0.9762654,0.000011117867,0.00017154793,6.2158773e-7,0.020636054,0.000007755162,0.00008516809,0.000102858685,0.000007674855,0.0024625955],"study_design_scores_gemma":[0.00090344285,0.00009725093,0.99503946,0.000147854,0.00015906001,3.777123e-7,0.0026654948,6.358908e-7,0.000117432,0.00047776313,0.00033122711,0.000059987444],"about_ca_topic_score_codex":0.0031788119,"about_ca_topic_score_gemma":0.008398418,"teacher_disagreement_score":0.018774107,"about_ca_system_score_codex":0.00014012461,"about_ca_system_score_gemma":0.00035356107,"threshold_uncertainty_score":0.48054338},"labels":[],"label_agreement":null},{"id":"W2303373428","doi":"10.1177/1090198115604614","title":"Evaluating the ParticipACTION “Think Again” Campaign","year":2015,"lang":"en","type":"article","venue":"Health Education & Behavior","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agricultural Research Institute of Ontario; University of Victoria; University of Alberta; University of British Columbia; Public Health Ontario; Queen's University; University of British Columbia, Okanagan Campus; University of Lethbridge; Kelowna General Hospital","funders":"","keywords":"Psychology; Public health; Medicine; Environmental health; Nursing","score_opus":0.37468098850664716,"score_gpt":0.5508294976341158,"score_spread":0.17614850912746866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2303373428","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9812192,0.00040339984,0.00004626217,0.013443997,0.0020736959,0.00082828564,0.0000024900871,0.000087716726,0.001894961],"genre_scores_gemma":[0.99496496,0.000012661304,0.00041911507,0.0014586067,0.00060212257,0.00028422062,0.000020904336,0.000007982616,0.0022294535],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99824154,0.0004703374,0.00029501732,0.0001960259,0.00047925627,0.0003177984],"domain_scores_gemma":[0.9989121,0.00006822242,0.00018468,0.0002506378,0.00025329317,0.0003310855],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003389631,0.00007362496,0.00010001942,0.00003338135,0.00088912144,0.00008103769,0.00016811959,0.00005532058,0.00023361169],"category_scores_gemma":[0.00026942685,0.00005713076,0.0000386536,0.0002946124,0.00012541657,0.00027106225,0.000006839074,0.0001565657,0.00007279489],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019045023,0.0007293085,0.53048956,0.000014551828,0.000003043576,2.55589e-7,0.18772967,0.000009041269,0.000029918012,0.0019246504,0.012223076,0.26682788],"study_design_scores_gemma":[0.00020280678,0.00013681123,0.893381,0.000026110773,0.00004786944,4.1708222e-7,0.058767747,0.00002652762,0.000024614004,0.0010117454,0.046227206,0.0001471346],"about_ca_topic_score_codex":0.015287208,"about_ca_topic_score_gemma":0.004453286,"teacher_disagreement_score":0.36289147,"about_ca_system_score_codex":0.00044095132,"about_ca_system_score_gemma":0.005321953,"threshold_uncertainty_score":0.99127007},"labels":[],"label_agreement":null},{"id":"W2304039249","doi":"10.14288/1.0101588","title":"Impact of rapid transit stations on land use changes in their proximity","year":2011,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Transit (satellite); Land use; Environmental science; Geography; Remote sensing; Transport engineering; Public transport; Engineering; Civil engineering","score_opus":0.03773080452593429,"score_gpt":0.22792981389364708,"score_spread":0.19019900936771278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2304039249","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996941,0.000022541895,0.000041580966,0.000034483946,0.00003052439,0.00024841772,0.00036057128,0.000024543475,0.0022963684],"genre_scores_gemma":[0.99965936,0.000084990366,0.00008385342,0.0000065903632,0.0000088337465,3.331143e-7,0.000011277221,0.0000040650943,0.0001406708],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993111,0.00008700459,0.000084303414,0.00018872475,0.00015310425,0.0001757701],"domain_scores_gemma":[0.99954945,0.000046159847,0.00008384854,0.00013724877,0.000106755455,0.00007653663],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002386648,0.000030102086,0.0001829948,0.00004906328,0.00015465896,0.000024794375,0.00021181452,0.00007729485,0.00046143206],"category_scores_gemma":[0.000019501218,0.00008176397,0.00010431511,0.00030568938,0.00038009358,0.000477156,0.000010525991,0.0000841761,0.0000014661321],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030052972,0.00031490086,0.9105008,0.000018332696,0.000019466883,0.000015384385,0.009626843,0.0000012556723,0.000034628887,0.000002501839,0.00006441679,0.079371415],"study_design_scores_gemma":[0.0004590605,0.0001312173,0.9965798,0.000055450775,0.00001315464,2.0146608e-7,0.0023035377,0.0000062795684,0.0000025287418,0.00034086764,0.000025000343,0.00008285455],"about_ca_topic_score_codex":0.7140507,"about_ca_topic_score_gemma":0.9731551,"teacher_disagreement_score":0.2591044,"about_ca_system_score_codex":0.00005858307,"about_ca_system_score_gemma":0.0001265174,"threshold_uncertainty_score":0.50523573},"labels":[],"label_agreement":null},{"id":"W2304768126","doi":"10.14288/1.0071357","title":"Cardiovascular risk and the neighbourhood built environment in urban settings","year":2010,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Neighbourhood (mathematics); Built environment; Geography; Engineering","score_opus":0.004595560636749876,"score_gpt":0.16905181859383242,"score_spread":0.16445625795708255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2304768126","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957205,0.00049802684,0.0000700363,0.00028355987,0.00007709905,0.0002609322,0.000037605365,0.000021467167,0.0030307714],"genre_scores_gemma":[0.99911344,0.00046758246,0.000118273005,0.000019652261,0.00004611048,5.255257e-7,0.0000023381294,0.000004614828,0.00022746604],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989994,0.00014749296,0.00009102283,0.00027973336,0.00028088523,0.0002014396],"domain_scores_gemma":[0.99948287,0.00007094255,0.00007506862,0.00025887458,0.000027050992,0.00008521587],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011698778,0.000030369272,0.00021236374,0.000017190921,0.0005104518,0.000082740546,0.00031791633,0.00009915953,0.0002116798],"category_scores_gemma":[0.000052824787,0.00007983787,0.00016362137,0.00013923255,0.001346034,0.00024582606,0.00006127688,0.0002662505,0.0000047535027],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000071705763,0.000043743563,0.75443125,0.000010353589,0.00003344196,0.00002274275,0.0031384844,0.0000016914761,0.000008748296,0.0000098608825,0.00015054857,0.24214199],"study_design_scores_gemma":[0.0011948311,0.0000069520097,0.98978794,0.000013730583,0.0000642581,9.672857e-7,0.0028841833,0.000018132607,1.9516872e-7,0.0011202092,0.004814657,0.000093935065],"about_ca_topic_score_codex":0.7047725,"about_ca_topic_score_gemma":0.86078006,"teacher_disagreement_score":0.24204805,"about_ca_system_score_codex":0.00002908531,"about_ca_system_score_gemma":0.00005581434,"threshold_uncertainty_score":0.49595183},"labels":[],"label_agreement":null},{"id":"W2304989344","doi":"","title":"Condos in the Suburb: What are the Drivers Behind the Decision to Move into Suburban Condominiums?","year":2016,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geography; Transport engineering; Environmental planning; Engineering","score_opus":0.011441985790812733,"score_gpt":0.24818308954403542,"score_spread":0.2367411037532227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2304989344","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9825296,0.0002981429,0.000006503532,0.014544835,0.0006617525,0.0011053779,0.00002737701,0.000023012952,0.0008034434],"genre_scores_gemma":[0.9232964,0.00035204086,0.000034707926,0.00021819695,0.00009285206,0.0000029966764,0.000054960885,0.000014590068,0.075933285],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99768573,0.00041734535,0.00020902937,0.0004588178,0.0008260455,0.00040300546],"domain_scores_gemma":[0.9979819,0.00068476243,0.00034353926,0.0006423769,0.00024131266,0.000106112515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011743734,0.00025513064,0.000391689,0.00015753291,0.0012825172,0.00020390976,0.002163702,0.0003230264,0.0003618254],"category_scores_gemma":[0.00009348488,0.00014061798,0.00026426633,0.00038127607,0.00067234715,0.00082380266,0.00006543175,0.00040855107,0.00007192808],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004783841,0.000062415274,0.05177712,0.000033836488,0.00005125914,0.000032870583,0.93509066,0.0000034077655,0.00016563604,0.00039595386,0.0027695831,0.009138852],"study_design_scores_gemma":[0.00062851247,0.000029300647,0.15061048,0.00026726528,0.00009539716,1.19088185e-7,0.8415263,0.0000021253982,0.0001691564,0.0014325074,0.0050380407,0.00020075892],"about_ca_topic_score_codex":0.13915904,"about_ca_topic_score_gemma":0.80528945,"teacher_disagreement_score":0.6661304,"about_ca_system_score_codex":0.00016588061,"about_ca_system_score_gemma":0.0002114294,"threshold_uncertainty_score":0.9864215},"labels":[],"label_agreement":null},{"id":"W2306178728","doi":"","title":"Evolution of Non-worker Adults’ Weekday Leisure Time Use Patterns with Focus on Information and Communication Technology in 1998, 2005, and 2010: A Canadian Perspective","year":2016,"lang":"en","type":"article","venue":"Transportation Research Board 95th Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Information and Communications Technology; TRIPS architecture; Perspective (graphical); Duration (music); Travel behavior; Econometric model; Leisure time; Demographic economics; Marketing; Business; Economics; Physical activity; Political science; Engineering; Computer science; Econometrics","score_opus":0.021201791106848354,"score_gpt":0.3281959641547222,"score_spread":0.30699417304787385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2306178728","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9872292,0.00015710642,0.00025933818,0.009061676,0.00003071639,0.0019395017,0.0006804221,0.00007261787,0.0005693776],"genre_scores_gemma":[0.99797934,0.0007289169,0.00054364104,0.000016496844,0.000034304216,0.00025251368,0.00012440352,0.000031006057,0.00028935226],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9945244,0.00078985025,0.00083996437,0.0006621489,0.0019550235,0.0012285751],"domain_scores_gemma":[0.99514306,0.00093027006,0.00023239921,0.00047770762,0.002615138,0.0006014397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004420649,0.00027377944,0.00043598737,0.002565158,0.00087804213,0.0001345349,0.00046050988,0.00044892574,0.00011056509],"category_scores_gemma":[0.0004082055,0.0002288929,0.00006199153,0.00199801,0.0020647054,0.0024824631,0.000010310741,0.0009864824,0.000028879702],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013005328,0.00012440917,0.9648797,0.00009301356,0.000031447333,0.000018649898,0.021648481,0.000024767574,0.00021935251,0.008513213,0.00020460035,0.0029418524],"study_design_scores_gemma":[0.0018622548,0.0004461232,0.96085864,0.00092227064,0.000016887316,1.2818447e-7,0.03127549,0.000064441665,0.00022739217,0.0031080507,0.0009531644,0.00026518395],"about_ca_topic_score_codex":0.74502754,"about_ca_topic_score_gemma":0.9417028,"teacher_disagreement_score":0.19667523,"about_ca_system_score_codex":0.0007625236,"about_ca_system_score_gemma":0.0013989471,"threshold_uncertainty_score":0.9333981},"labels":[],"label_agreement":null},{"id":"W2306853734","doi":"10.1177/0265813515617659","title":"Non-stop equity: Assessing daily intersections between transit accessibility and social disparity across the Greater Toronto and Hamilton Area (GTHA)","year":2015,"lang":"en","type":"article","venue":"Environment and Planning B Planning and Design","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":85,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto; McGill University","funders":"","keywords":"Disadvantaged; Equity (law); Public transport; Decile; Social equality; Transportation planning; Business; Economic growth; Public economics; Geography; Demographic economics; Transport engineering; Economics; Political science; Engineering","score_opus":0.13797326487614425,"score_gpt":0.36256831859440436,"score_spread":0.2245950537182601,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2306853734","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98174876,0.0016099075,0.014937192,0.00028009404,0.00009338879,0.00025761343,0.000026605225,0.000047672842,0.0009987953],"genre_scores_gemma":[0.99915284,0.0000473107,0.000312313,0.00007822942,0.00022650372,0.000012649374,0.000021250315,0.000010909278,0.00013797585],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99835545,0.00020860981,0.00024519354,0.00048728898,0.00029270543,0.00041077312],"domain_scores_gemma":[0.9992966,0.00024300747,0.00010345566,0.00012712063,0.00001278624,0.00021703435],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0019772376,0.00022220841,0.000292791,0.000020379079,0.0019060422,0.0006252679,0.00013700889,0.00018324198,0.000011589629],"category_scores_gemma":[0.000021774573,0.00017113436,0.000032608823,0.000046283487,0.00076451467,0.0007932852,0.000089462366,0.0002576368,5.214701e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006448332,0.000016525084,0.88737655,0.000017709928,0.000028049368,0.000007601332,0.10961978,0.000022064542,0.000042921027,0.000006007552,0.0002048837,0.0025934267],"study_design_scores_gemma":[0.0004929682,0.0000640691,0.9703409,0.0000470361,0.00008413367,0.0000017460657,0.026839131,0.00030800523,0.000033205604,0.00036608303,0.0011827694,0.00023995142],"about_ca_topic_score_codex":0.0017266645,"about_ca_topic_score_gemma":0.00017655014,"teacher_disagreement_score":0.08296435,"about_ca_system_score_codex":0.000080929756,"about_ca_system_score_gemma":0.000037498354,"threshold_uncertainty_score":0.99939334},"labels":[],"label_agreement":null},{"id":"W2307266058","doi":"","title":"Measuring Segregation Using Patterns of Daily Travel Behavior: A Social Interaction-Based Model of Exposure","year":2016,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Metric (unit); Metropolitan area; Residence; Population; Space (punctuation); Metric space; Scale (ratio); Spatial ecology; Computer science; Economic geography; Geography; Geographical distance; Econometrics; Mathematics; Cartography; Ecology; Sociology; Demography; Engineering; Operations management","score_opus":0.12340255892530645,"score_gpt":0.3597457796520954,"score_spread":0.23634322072678898,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2307266058","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966382,0.0000040933564,0.0001985608,0.00007541391,0.00005877109,0.00021122399,0.00005620796,0.000007562525,0.0027500154],"genre_scores_gemma":[0.9995412,0.00003947437,0.00017908595,0.000004575652,0.000050598603,0.00001742085,0.000002923562,0.000010981467,0.00015369331],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99865407,0.00015461518,0.0004038546,0.00023438258,0.00027233214,0.00028075418],"domain_scores_gemma":[0.9992717,0.00018648632,0.00016169783,0.00016524967,0.0001558674,0.000059006376],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012542603,0.00007560792,0.00019730856,0.00016857959,0.00016987677,0.000018135033,0.00022938346,0.00011420512,0.00007342592],"category_scores_gemma":[0.000109460336,0.0000687638,0.00009820304,0.000094467585,0.00028304395,0.00029297665,0.000020441179,0.00014912106,3.3492867e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008697542,0.00017643662,0.9101105,0.000042617932,0.0000106368625,9.979759e-7,0.0034536594,0.0011215424,0.022857577,0.00022747672,5.387002e-7,0.061911058],"study_design_scores_gemma":[0.0021916057,0.00010567639,0.9382082,0.00037377534,0.00003311853,2.129921e-7,0.011152894,0.016436191,0.029906275,0.0011258204,0.00006089605,0.00040533536],"about_ca_topic_score_codex":0.0013053789,"about_ca_topic_score_gemma":0.008566089,"teacher_disagreement_score":0.061505724,"about_ca_system_score_codex":0.00042230522,"about_ca_system_score_gemma":0.0004895818,"threshold_uncertainty_score":0.47800788},"labels":[],"label_agreement":null},{"id":"W2307629122","doi":"10.1016/j.jth.2016.03.003","title":"Age and retirement status differences in associations between the built environment and active travel behaviour","year":2016,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":49,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Simon Fraser University","funders":"SFU Community Trust Endowment Fund; Social Sciences and Humanities Research Council of Canada; Canadian Institutes of Health Research; Simon Fraser University; Michael Smith Health Research BC","keywords":"Odds; Walkability; Odds ratio; Demography; Neighbourhood (mathematics); Logistic regression; Built environment; Transit (satellite); Gerontology; Medicine; Public transport; Geography; Psychology; Environmental health; Physical activity; Transport engineering; Physical therapy; Engineering; Sociology","score_opus":0.05835643641697257,"score_gpt":0.32969397186402655,"score_spread":0.27133753544705397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2307629122","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9879149,0.00047350433,0.00020514007,0.010906375,0.0000609048,0.0002235635,0.00011992738,0.0000035798782,0.000092090995],"genre_scores_gemma":[0.9963319,0.0033242898,0.00009502583,0.0000807562,0.00009610716,0.0000025679653,0.0000028773675,0.000004901393,0.000061611165],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99836695,0.00016666295,0.00055893743,0.00014335719,0.00044940485,0.00031467012],"domain_scores_gemma":[0.99910563,0.00015774625,0.00039858415,0.00007462239,0.00002588454,0.0002375114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001411369,0.00009437668,0.00032580498,0.000059134494,0.00030011474,0.000018191615,0.0001343922,0.000062788764,0.00004591949],"category_scores_gemma":[0.000015990918,0.000053060976,0.00005711057,0.00007818154,0.00027947652,0.00023380322,0.0000044677454,0.00020854303,2.5169243e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018539722,0.00006441925,0.975666,0.0000065695826,0.000016401906,0.0000086353075,0.011753884,5.7415637e-8,0.00001710241,0.00006555233,0.0000097090815,0.012373116],"study_design_scores_gemma":[0.00049116643,0.00012289178,0.9962566,0.000059781996,0.00003617565,1.8279353e-7,0.001708487,6.73729e-8,0.000015701171,0.0008710242,0.0003727666,0.000065173896],"about_ca_topic_score_codex":0.005552185,"about_ca_topic_score_gemma":0.014793205,"teacher_disagreement_score":0.020590568,"about_ca_system_score_codex":0.00025550093,"about_ca_system_score_gemma":0.0002943874,"threshold_uncertainty_score":0.83932793},"labels":[],"label_agreement":null},{"id":"W2308383612","doi":"","title":"Is There Anything Exceptional about ICT Use While Travelling? A Time Allocation Framework for and Empirical Insights into Multitasking Patterns and Well-Being Implications from the Canadian General Social Survey","year":2016,"lang":"en","type":"article","venue":"Transportation Research Board 95th Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Human multitasking; Information and Communications Technology; Time allocation; Constraint (computer-aided design); Crunch; Time management; Empirical evidence; Psychology; Computer science; Sociology; Engineering; Economics; Social science; Cognitive psychology; Management; World Wide Web","score_opus":0.11137187557799398,"score_gpt":0.41700890631715726,"score_spread":0.30563703073916326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2308383612","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9718429,0.0001910882,0.008662381,0.015460399,0.000089561785,0.0019364865,0.0015929353,0.00008552863,0.00013874742],"genre_scores_gemma":[0.9935157,0.0004935315,0.0030665013,0.0003865483,0.0005708852,0.00044291126,0.0010764091,0.00007001965,0.00037752526],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9925466,0.0017451673,0.0009243509,0.0012234694,0.0021789188,0.0013814984],"domain_scores_gemma":[0.9894865,0.00604225,0.00020369582,0.0003929462,0.0030530137,0.0008215954],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.006202132,0.00035259296,0.00040941115,0.0005016727,0.006257072,0.00073628884,0.000644112,0.00057092105,0.00039746473],"category_scores_gemma":[0.0008862236,0.00027834173,0.00016672417,0.0011047268,0.0016879837,0.0013953197,0.000011440647,0.0010365839,0.000023994873],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025217142,0.00007133359,0.8833698,0.0000590373,0.00007539324,0.000005761026,0.10431623,0.0000071255586,0.0004397794,0.007885706,0.00088219735,0.0026354645],"study_design_scores_gemma":[0.00071941107,0.00008088701,0.9669649,0.00022741004,0.000037485228,3.6259e-8,0.004754331,0.00014173624,0.0001447901,0.018591559,0.007985516,0.0003519281],"about_ca_topic_score_codex":0.63787115,"about_ca_topic_score_gemma":0.928234,"teacher_disagreement_score":0.29036286,"about_ca_system_score_codex":0.00039800414,"about_ca_system_score_gemma":0.0013538534,"threshold_uncertainty_score":0.99996686},"labels":[],"label_agreement":null},{"id":"W2311762804","doi":"10.2105/ajph.2016.303096","title":"Neighborhood Walkability and Body Mass Index Trajectories: Longitudinal Study of Canadians","year":2016,"lang":"en","type":"article","venue":"American Journal of Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":73,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research","keywords":"Walkability; Body mass index; Demography; Quartile; Confidence interval; Medicine; Population; National Health and Nutrition Examination Survey; Overweight; Regression analysis; Gerontology; Statistics; Environmental health; Physical activity; Mathematics; Physical therapy; Internal medicine","score_opus":0.04320948259229538,"score_gpt":0.3400533130673783,"score_spread":0.2968438304750829,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2311762804","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9839334,0.0000862903,0.0018740984,0.013372259,0.00017567407,0.00019060657,0.000017079665,0.00001030079,0.00034028606],"genre_scores_gemma":[0.9994799,0.000067878995,0.00008782912,0.00013723462,0.00018565834,0.0000019723518,2.4326235e-7,0.0000076811975,0.000031592688],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997226,0.00073394657,0.0007482263,0.00020780422,0.00058283674,0.0005011611],"domain_scores_gemma":[0.9973921,0.00028011488,0.000863427,0.00019806839,0.00038550742,0.00088076753],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040857787,0.0001124961,0.0005259227,0.00016563083,0.0002489408,0.000041558043,0.00033523355,0.00003258966,0.00012444881],"category_scores_gemma":[0.00041907452,0.00007579219,0.000070728725,0.00063383795,0.0009056317,0.00052988116,0.000011103859,0.00017824316,3.4327923e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020543495,0.00027673572,0.9332089,0.000009335522,0.000040825762,0.0000049421105,0.009890686,8.843326e-8,0.0000050049894,0.00022545183,0.000056292418,0.05626119],"study_design_scores_gemma":[0.00053923094,0.0014015671,0.9642862,0.000014900066,0.000010351347,0.000001930544,0.03190065,6.106648e-7,6.4728283e-7,0.00039399424,0.0013689537,0.000080932055],"about_ca_topic_score_codex":0.15321897,"about_ca_topic_score_gemma":0.13190891,"teacher_disagreement_score":0.056180257,"about_ca_system_score_codex":0.00038048942,"about_ca_system_score_gemma":0.003491355,"threshold_uncertainty_score":0.8839315},"labels":[],"label_agreement":null},{"id":"W2312261509","doi":"10.1016/j.jsams.2012.11.174","title":"Community mobilization toward active transportation: Depicting the role of grassroots projects from an evidence-based approach","year":2012,"lang":"en","type":"article","venue":"Journal of science and medicine in sport","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; Université de Montréal","funders":"","keywords":"Grassroots; Community mobilization; Mobilization; Community engagement; Civil society; Political science; Community organization; Environmental planning; Community participation; Public relations; Sociology; Geography; Socioeconomics","score_opus":0.0891195890171728,"score_gpt":0.36997541799323785,"score_spread":0.28085582897606504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2312261509","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99764496,0.0007044149,0.00021339653,0.0005537649,0.00014182171,0.00018950722,0.0000012472091,0.0000045626034,0.00054629595],"genre_scores_gemma":[0.99930865,0.00008288641,0.00026699237,0.00009073765,0.0002405816,0.0000028648487,0.0000025094707,0.0000025419179,0.0000022298025],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99821705,0.000112791466,0.00044104125,0.00009553541,0.000932421,0.00020115855],"domain_scores_gemma":[0.9986576,0.0001586017,0.00044035836,0.00012716441,0.00045917783,0.00015712334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007923514,0.00007024742,0.00021956072,0.00014570437,0.000407152,0.00001480436,0.0004172305,0.000045208486,0.000015092532],"category_scores_gemma":[0.0004266344,0.0000422076,0.000028553008,0.0009027272,0.0019182252,0.0020961259,0.0000052427854,0.00029408553,4.3209656e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051579347,0.0001411023,0.8864132,0.000011085037,0.0000023591472,7.1310967e-7,0.10749738,0.000017776321,0.0012891198,0.0001316166,0.0000022755678,0.004441772],"study_design_scores_gemma":[0.00019282557,0.00009276835,0.81575966,0.00016582654,0.000029757111,4.816168e-7,0.18179613,0.00006161982,0.0013682097,0.00042206072,0.000071545765,0.000039088914],"about_ca_topic_score_codex":0.013724329,"about_ca_topic_score_gemma":0.0018830778,"teacher_disagreement_score":0.074298754,"about_ca_system_score_codex":0.000060262948,"about_ca_system_score_gemma":0.0006688187,"threshold_uncertainty_score":0.9928434},"labels":[],"label_agreement":null},{"id":"W2313382537","doi":"10.1061/9780784412688.026","title":"Factors Affecting Cycling Patterns in Cold Weather","year":2012,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Cycling; Demographics; Environmental science; Climate change; Greenhouse gas; Extreme weather; Cold climate; Weather patterns; Meteorology; Geography; Transport engineering; Environmental resource management; Engineering; Ecology; Demography","score_opus":0.058312956243116394,"score_gpt":0.3334360910574586,"score_spread":0.2751231348143422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2313382537","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96629095,0.0000346487,0.00014995194,0.000050620598,0.00023344535,0.00009780459,9.129492e-7,0.00005787146,0.033083797],"genre_scores_gemma":[0.99873763,0.0000020201637,0.00002963854,0.00004011001,0.00016920616,0.000001556286,8.340176e-7,0.0000046739565,0.001014312],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993254,0.00005084623,0.00010369227,0.000092217895,0.00012711686,0.00030073881],"domain_scores_gemma":[0.9997293,0.00009577771,0.000025193465,0.000064558706,0.000007831478,0.000077342105],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005493176,0.000054282813,0.0000797913,0.000028588398,0.00012626218,0.00002585261,0.00009136354,0.000053378866,0.001008429],"category_scores_gemma":[0.00003360059,0.00004214087,0.000037719194,0.00012549263,0.000030657262,0.00035562052,0.0000078594,0.00007926504,0.0000128300435],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[4.7921105e-7,0.000038774477,0.9859972,0.0000030850335,0.0000013910899,1.9446709e-7,0.013218078,2.8779115e-7,0.000106695035,0.0003914701,0.000008174021,0.00023419423],"study_design_scores_gemma":[0.00005383998,0.0000019698048,0.98953694,0.000007838589,0.0000023139671,2.9988823e-9,0.008269377,0.0000011596205,0.0013419191,0.000036426496,0.0006808031,0.00006742182],"about_ca_topic_score_codex":0.009066001,"about_ca_topic_score_gemma":0.022983877,"teacher_disagreement_score":0.0324467,"about_ca_system_score_codex":0.000045098568,"about_ca_system_score_gemma":0.00001487995,"threshold_uncertainty_score":0.9999048},"labels":[],"label_agreement":null},{"id":"W23137795","doi":"10.1016/j.dld.2012.09.022","title":"THE SNELLING CORRIDOR AND ITS DISTRICTS: DEVELOPING AND ENHANCING A TRANSIT-ORIENTED LATTICE CONNECTIVE STRUCTURE","year":2001,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Hamline University; Concordia University of Edmonton; Macalester College; University of Minnesota","keywords":"Metropolitan area; Public transport; Redevelopment; Transit (satellite); Transport engineering; Truck; Business; Geography; Engineering; Civil engineering","score_opus":0.018354036127925466,"score_gpt":0.2801193216079418,"score_spread":0.2617652854800163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W23137795","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9875263,0.0008405975,0.007931015,0.0009931318,0.00014547484,0.0002225962,0.0000057741277,0.000052953066,0.002282177],"genre_scores_gemma":[0.99875665,0.00034697136,0.0002960777,0.00012262177,0.000082692764,0.0000028704778,0.0000024797268,0.000005041427,0.00038457938],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99911547,0.000063083455,0.00016665898,0.00023331435,0.00016349577,0.0002579579],"domain_scores_gemma":[0.999349,0.00035173088,0.000048238857,0.00006256963,0.000100213605,0.00008823959],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003353614,0.00009558946,0.00011588959,0.00001846617,0.0012354027,0.0001178911,0.000092553106,0.00006593184,0.000045639288],"category_scores_gemma":[0.0001318287,0.00006491475,0.0000184715,0.00028173832,0.00016300842,0.00026860883,0.00001138808,0.000114305665,7.322862e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032884307,0.00006014641,0.6472848,0.00015762207,0.00016736383,0.0000521039,0.12542404,0.0000148859335,0.0037029036,0.1907961,0.00006130009,0.03194988],"study_design_scores_gemma":[0.0025009133,0.00012047974,0.7912838,0.00029586273,0.00025727443,0.000013299426,0.11084821,0.0025566716,0.01545661,0.02777204,0.047399305,0.0014955248],"about_ca_topic_score_codex":0.00066162477,"about_ca_topic_score_gemma":0.020882543,"teacher_disagreement_score":0.16302407,"about_ca_system_score_codex":0.000038024715,"about_ca_system_score_gemma":0.00008244641,"threshold_uncertainty_score":0.9969838},"labels":[],"label_agreement":null},{"id":"W2313846253","doi":"","title":"Road to Productivity: Analysis of Commuters’ Punctuality and Energy Levels at Work or School","year":2016,"lang":"en","type":"article","venue":"Transportation Research Board 95th Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Punctuality; Odds; Feeling; Work (physics); Psychology; Logistic regression; Transport engineering; Engineering; Social psychology; Computer science","score_opus":0.11542274204003902,"score_gpt":0.4204233102626675,"score_spread":0.30500056822262844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2313846253","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98718894,0.00013538155,0.0012594772,0.007179347,0.0001329752,0.0012276542,0.001145066,0.00017403133,0.0015571297],"genre_scores_gemma":[0.98532397,0.00027366774,0.0009447121,0.00010748038,0.00018107268,0.00037959477,0.00016333697,0.000057923768,0.012568269],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98661166,0.0027229092,0.0015541448,0.0016333157,0.005519443,0.001958536],"domain_scores_gemma":[0.98993504,0.002496411,0.00030872712,0.0010049448,0.004608806,0.0016460419],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.013020342,0.00043617983,0.0010221581,0.0025003909,0.0014994085,0.000170108,0.0010518233,0.00039964408,0.0021230837],"category_scores_gemma":[0.0020408062,0.00033038718,0.00036335492,0.009828358,0.0027576494,0.0012793778,0.00004120051,0.0007325552,0.00004471469],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003412724,0.00037766268,0.9443706,0.00017261018,0.00056277297,0.000054369546,0.02609396,0.000052192983,0.0029271725,0.0027593786,0.0023270997,0.016889414],"study_design_scores_gemma":[0.00090247457,0.00033261685,0.96604496,0.00018962576,0.00021378328,3.252556e-8,0.0061679776,0.0000057894326,0.0014088576,0.0005210866,0.023784114,0.00042865044],"about_ca_topic_score_codex":0.0638917,"about_ca_topic_score_gemma":0.4360442,"teacher_disagreement_score":0.37215248,"about_ca_system_score_codex":0.00052210403,"about_ca_system_score_gemma":0.0011277845,"threshold_uncertainty_score":0.99995625},"labels":[],"label_agreement":null},{"id":"W2315278847","doi":"10.3130/aija.73.1665","title":"A STUDY ON BEHAVIORS ALONG WATERSIDE USING GPS","year":2008,"lang":"en","type":"article","venue":"Journal of Architecture and Planning (Transactions of AIJ)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Global Positioning System; Quarter (Canadian coin); Deck; Environmental science; Geography; Physical geography; Computer science; Geology; Oceanography; Telecommunications; Archaeology","score_opus":0.049863601518952964,"score_gpt":0.33089391697911835,"score_spread":0.2810303154601654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2315278847","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.992971,0.00012331209,0.0061744587,0.00015290706,0.00022100059,0.00011324369,0.0000056295553,0.000010176906,0.00022828805],"genre_scores_gemma":[0.9987172,0.000014637241,0.0010548104,0.00002206146,0.00013508053,4.7447122e-7,3.9371608e-7,0.0000067469755,0.000048613805],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988913,0.00010284768,0.0003655147,0.000109661545,0.00036357052,0.00016713205],"domain_scores_gemma":[0.9993718,0.000115180475,0.00021022749,0.0000883237,0.00009912558,0.00011529526],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042188304,0.0001007945,0.0002425349,0.00023562388,0.0005281197,0.000019003575,0.00014677542,0.00006381071,0.000032085416],"category_scores_gemma":[0.00001878836,0.00007834831,0.0001238291,0.00018446145,0.00019399422,0.00018597934,0.0000023042585,0.000385364,2.540801e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026352052,0.00050767604,0.8460453,0.000014199783,0.0001067245,0.00030989535,0.14277013,0.006518798,0.001186011,0.0000021512792,0.000026261481,0.0022492886],"study_design_scores_gemma":[0.0015044038,0.0014511287,0.95710576,0.00027317568,0.00040940585,0.00020225882,0.035419594,0.000013017411,0.0024699594,0.000238731,0.0006142955,0.0002982993],"about_ca_topic_score_codex":0.00092577416,"about_ca_topic_score_gemma":0.0002660069,"teacher_disagreement_score":0.11106039,"about_ca_system_score_codex":0.000023797113,"about_ca_system_score_gemma":0.00012611029,"threshold_uncertainty_score":0.4061923},"labels":[],"label_agreement":null},{"id":"W2316192055","doi":"10.1097/00005768-200505001-01028","title":"Childrens?? Physical Activity Places","year":2005,"lang":"en","type":"article","venue":"Medicine & Science in Sports & Exercise","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Physical activity; Active living; Outdoor activity; Psychology; Environmental health; Yard; Level design; Demography; Gerontology; Medicine; Physical therapy; Multimedia; Sociology; Computer science","score_opus":0.01723821597190736,"score_gpt":0.3199884370426954,"score_spread":0.3027502210707881,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2316192055","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96982414,0.000043473054,0.000010488064,0.0039847777,0.00042947757,0.00036463217,0.0000013775065,0.00010440377,0.025237212],"genre_scores_gemma":[0.9977237,0.00011115604,0.00009290602,0.0001364628,0.0008365019,0.000016769563,0.0000015331591,0.000007792869,0.001073179],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99672484,0.000036644095,0.00025401977,0.0006381024,0.0016320285,0.0007143418],"domain_scores_gemma":[0.9989908,0.00006490787,0.00012657337,0.00037816525,0.00010115505,0.00033840258],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0024881188,0.0001802738,0.00038574988,0.000259707,0.0006383679,0.000049127662,0.00077550515,0.00006300875,0.00069267425],"category_scores_gemma":[0.00018315358,0.00014051431,0.000058529815,0.0018794228,0.0040124296,0.0019302925,0.000046967845,0.00028240142,0.0000267531],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020410032,0.00025385822,0.8196134,0.000004414518,8.957395e-8,0.00001565572,0.0126254335,0.000014654723,0.000087296816,0.00007141584,0.00020741732,0.16708599],"study_design_scores_gemma":[0.00027511234,0.00002108926,0.99243826,0.00010101115,0.000014144519,4.2223854e-7,0.0013204998,0.00014143341,0.00008026654,0.0004692759,0.004963185,0.0001753301],"about_ca_topic_score_codex":0.0034003216,"about_ca_topic_score_gemma":0.0023043181,"teacher_disagreement_score":0.17282486,"about_ca_system_score_codex":0.00019303053,"about_ca_system_score_gemma":0.000458877,"threshold_uncertainty_score":0.99869806},"labels":[],"label_agreement":null},{"id":"W2316510652","doi":"10.3141/2494-03","title":"Estimation of Base-Year Floor Space Data","year":2015,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto; University of Waterloo","funders":"","keywords":"Census; Lidar; Ground truth; Geographic information system; Footprint; Computer science; Remote sensing; Space (punctuation); Population; Data set; Data collection; Data mining; Geography; Statistics; Mathematics; Artificial intelligence","score_opus":0.26205776545163373,"score_gpt":0.4652263136881446,"score_spread":0.20316854823651087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2316510652","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98816353,0.0002789282,0.00254282,0.0060311845,0.000689799,0.0009528534,0.00019788762,0.000032403997,0.0011105853],"genre_scores_gemma":[0.9933763,0.00035797112,0.004900772,0.000020481155,0.00029956747,0.000017666633,0.00007212536,0.000036642698,0.000918484],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9886964,0.0020722265,0.0015327074,0.00048384772,0.006361178,0.0008536203],"domain_scores_gemma":[0.9915781,0.000829642,0.0006556106,0.0010223525,0.005224115,0.0006901956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01593992,0.00020509641,0.0004966879,0.00077358185,0.000701905,0.00014270544,0.002782935,0.00023257989,0.00047279606],"category_scores_gemma":[0.0011855928,0.0001609777,0.00026815853,0.0029360845,0.0016878919,0.0018623283,0.000015736745,0.0016399048,0.00003200723],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025254397,0.00075640716,0.920336,0.00037755503,0.00019203514,0.00008488301,0.02264673,0.0025960514,0.0006878922,0.010526112,0.023744024,0.015526838],"study_design_scores_gemma":[0.0023029197,0.0004776935,0.9421335,0.000394684,0.000109467,9.755781e-8,0.016971845,0.00063736516,0.0014181273,0.0116088865,0.02368356,0.00026184617],"about_ca_topic_score_codex":0.058121826,"about_ca_topic_score_gemma":0.14865486,"teacher_disagreement_score":0.09053303,"about_ca_system_score_codex":0.0002782886,"about_ca_system_score_gemma":0.0029770145,"threshold_uncertainty_score":0.9481502},"labels":[],"label_agreement":null},{"id":"W2316586355","doi":"10.1097/01.phh.0000316478.42264.a7","title":"Urban Planning and Public Health","year":2008,"lang":"en","type":"article","venue":"Journal of Public Health Management and Practice","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Promulgation; Public health; Environmental planning; Urban planning; Business; Norm (philosophy); Environmental health; Political science; Medicine; Engineering; Geography; Civil engineering; Nursing","score_opus":0.21709888525091464,"score_gpt":0.4207602392003149,"score_spread":0.20366135394940027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2316586355","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2139964,0.028164357,0.0068999985,0.6921705,0.00081170944,0.00060702494,0.0000035941293,0.00006540435,0.057280995],"genre_scores_gemma":[0.97530687,0.010876158,0.0035222701,0.008785086,0.00044139763,0.0000022320623,0.0000022287434,0.000008696773,0.0010550714],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9969148,0.0010734575,0.000631676,0.00018083522,0.0006184442,0.000580788],"domain_scores_gemma":[0.9974094,0.00043622812,0.0009735269,0.00011035614,0.00019374587,0.00087673904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01379375,0.00010277447,0.00027826065,0.00025118314,0.0012721394,0.0002652377,0.00019742084,0.000047679314,0.000052606392],"category_scores_gemma":[0.0007429194,0.00009043577,0.000040936284,0.00041153122,0.00021536778,0.002921399,0.0000408562,0.00032279748,0.0000018039684],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057969293,0.00044294825,0.7041328,0.00029993308,0.00016240012,0.00015296452,0.062166568,4.30527e-7,1.9336876e-7,0.017384382,0.082415365,0.13278407],"study_design_scores_gemma":[0.0003712838,0.00013410006,0.20520858,0.00002349975,0.0000085227575,0.000029865176,0.015187249,0.0000034424004,1.933132e-8,0.0001331189,0.7788326,0.00006773131],"about_ca_topic_score_codex":0.000667291,"about_ca_topic_score_gemma":0.000121917,"teacher_disagreement_score":0.76131046,"about_ca_system_score_codex":0.00015601926,"about_ca_system_score_gemma":0.0009296615,"threshold_uncertainty_score":0.9784396},"labels":[],"label_agreement":null},{"id":"W2317224845","doi":"10.3141/2537-11","title":"Direct Ridership Model of Rail Rapid Transit Systems in Canada","year":2015,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":70,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Concordia University","funders":"","keywords":"Transit (satellite); Ordinary least squares; Socioeconomic status; Context (archaeology); Transport engineering; Variables; Scope (computer science); Regression analysis; Variable (mathematics); Geography; Econometrics; Business; Public transport; Computer science; Statistics; Engineering; Economics; Mathematics; Environmental health; Population","score_opus":0.2150177355957901,"score_gpt":0.39482427527051905,"score_spread":0.17980653967472895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2317224845","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9921791,0.00090117863,0.00033825822,0.0027506796,0.00064560614,0.0010672275,0.00012461407,0.000015233635,0.0019780865],"genre_scores_gemma":[0.9979864,0.0008571052,0.00022984884,0.00002065743,0.00014062035,0.00004283982,0.00001173532,0.00003541725,0.0006754204],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9876935,0.0024471742,0.0019516082,0.000408355,0.0064056753,0.0010936749],"domain_scores_gemma":[0.99263436,0.0012610545,0.0005482343,0.00045121755,0.0043767286,0.0007284231],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01149947,0.00023313891,0.0007035974,0.0008260317,0.00043200012,0.00009186647,0.0015300605,0.00019988655,0.00015454002],"category_scores_gemma":[0.00043724914,0.00018761783,0.00031169428,0.0027876117,0.0009494868,0.00088761817,0.0000037120599,0.001723133,0.0000028727256],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017754387,0.00028174592,0.93391544,0.00039072652,0.00009949759,0.000082301856,0.019887771,0.034076773,0.0008202942,0.0021161395,0.0046969783,0.0018568912],"study_design_scores_gemma":[0.0026994352,0.000338925,0.95006436,0.00063848903,0.00006287867,5.5058518e-8,0.034099273,0.0010993679,0.0012299515,0.0025317,0.0069089183,0.0003266409],"about_ca_topic_score_codex":0.9757513,"about_ca_topic_score_gemma":0.99776137,"teacher_disagreement_score":0.032977402,"about_ca_system_score_codex":0.001291603,"about_ca_system_score_gemma":0.01681458,"threshold_uncertainty_score":0.98875916},"labels":[],"label_agreement":null},{"id":"W2317818493","doi":"10.3141/2537-05","title":"Who, What, When, and Where","year":2015,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Transit (satellite); Public transport; TRIPS architecture; Service (business); Business; Transport engineering; Population; Level of service; Demographic economics; Marketing; Economics; Engineering; Environmental health; Medicine","score_opus":0.1620179428476127,"score_gpt":0.43362172224363,"score_spread":0.2716037793960173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2317818493","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97819567,0.0025803638,0.0003462129,0.015959378,0.0008572791,0.000877201,0.00002365622,0.000035974695,0.0011242534],"genre_scores_gemma":[0.9902041,0.0050225155,0.00095709285,0.00008436046,0.00045581718,0.000033263303,0.0000070669116,0.000040459156,0.0031953317],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98995167,0.0021019264,0.0012033555,0.00044796948,0.005267162,0.0010279036],"domain_scores_gemma":[0.9918821,0.0008513222,0.00038465025,0.0004369117,0.005419749,0.0010252628],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0112157315,0.00022479966,0.00046604537,0.00066732167,0.0012016306,0.0006121884,0.001278053,0.0002654699,0.00044388257],"category_scores_gemma":[0.00035300056,0.00017135743,0.00028541673,0.0017780642,0.002094388,0.0029725565,0.000008038803,0.002092883,0.000020016227],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009461157,0.00021436,0.91633976,0.00015437981,0.00008809916,0.00010314652,0.03996338,0.000049884013,0.00014968263,0.007364643,0.019933,0.014693578],"study_design_scores_gemma":[0.0014374162,0.0003503284,0.79261535,0.00047231335,0.000046923527,1.4410817e-7,0.033057906,0.00001561189,0.00015035871,0.025370313,0.14627369,0.00020965256],"about_ca_topic_score_codex":0.049388155,"about_ca_topic_score_gemma":0.38969606,"teacher_disagreement_score":0.3403079,"about_ca_system_score_codex":0.00030406218,"about_ca_system_score_gemma":0.0017717417,"threshold_uncertainty_score":0.956942},"labels":[],"label_agreement":null},{"id":"W2317921990","doi":"","title":"Multi-Scalar Analysis of Transit-Oriented Development for New Start Commuter Rail","year":2016,"lang":"en","type":"article","venue":"Transportation Research Board 95th Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Mile; Population; Census; Rail transit; Geography; Quarter (Canadian coin); Transport engineering; Transit-oriented development; Transit (satellite); Revenue; Population growth; Business; Public transport; Engineering; Demography; Finance; Geodesy; Archaeology","score_opus":0.11606716149407274,"score_gpt":0.4269992429381093,"score_spread":0.31093208144403656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2317921990","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9096845,0.00017827092,0.0808862,0.0039256737,0.00019868494,0.0030847366,0.0013794913,0.0002301674,0.00043231144],"genre_scores_gemma":[0.9699746,0.00023441445,0.023269279,0.00006200694,0.00018772166,0.00050659716,0.00084389857,0.00008166098,0.0048398343],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98748183,0.0014398518,0.002106164,0.0013981336,0.005292477,0.0022815492],"domain_scores_gemma":[0.9884957,0.0025507337,0.00036537932,0.00078419416,0.0065264706,0.0012775161],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.011885488,0.00046309916,0.0010341253,0.0025752506,0.0018179105,0.00012340557,0.0012323154,0.00049719657,0.0012882528],"category_scores_gemma":[0.0007112006,0.00039426945,0.0007045854,0.0059971805,0.0020307994,0.001234384,0.000011717998,0.0008217518,0.000039407056],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0034407028,0.0013167638,0.85247767,0.0005177997,0.0017360194,0.00004812328,0.10020695,0.0003612709,0.011160401,0.0065175304,0.004035901,0.018180849],"study_design_scores_gemma":[0.0036757626,0.00033381532,0.88208485,0.00025572337,0.00036451293,1.4592268e-8,0.011804621,0.000101153186,0.0057939487,0.00043936374,0.09458547,0.0005607445],"about_ca_topic_score_codex":0.02830295,"about_ca_topic_score_gemma":0.30570093,"teacher_disagreement_score":0.277398,"about_ca_system_score_codex":0.00039940645,"about_ca_system_score_gemma":0.0026469068,"threshold_uncertainty_score":0.9998509},"labels":[],"label_agreement":null},{"id":"W2318123868","doi":"","title":"Activity-Travel Behaviour of Non-workers in the National Capital Region of Canada: Application of a Comprehensive Utility Maximizing System of Travel Option Modelling","year":2016,"lang":"en","type":"article","venue":"Transportation Research Board 95th Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Flexibility (engineering); Demographic economics; Business; Time-use survey; Labour economics; Economics; Work (physics); Engineering","score_opus":0.09190999187370966,"score_gpt":0.3749232086572936,"score_spread":0.28301321678358393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2318123868","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9780119,0.000054124943,0.017767647,0.0005828175,0.000058496407,0.002008137,0.00071621465,0.000017267805,0.000783401],"genre_scores_gemma":[0.9987877,0.00008226953,0.00071665464,0.0000047821404,0.000052336854,0.00019436821,0.00008500409,0.000027605754,0.000049298033],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9894236,0.0014278995,0.001786473,0.00068945903,0.005784395,0.0008881911],"domain_scores_gemma":[0.98990995,0.0018379933,0.0008056368,0.00040945475,0.0068097133,0.00022727017],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008185351,0.00025654476,0.00070698065,0.00083282276,0.00042409264,0.000018607998,0.0008696312,0.0002927748,0.000021292568],"category_scores_gemma":[0.00019328696,0.00020967353,0.00023842044,0.0022793564,0.0017696832,0.00066535635,0.000008177114,0.00068181,6.610859e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002517348,0.00081843854,0.9134993,0.0021682116,0.00009315478,0.00002202785,0.038732816,0.0029269462,0.023671715,0.013912755,0.00011020544,0.0015270726],"study_design_scores_gemma":[0.001072396,0.00017260264,0.89806676,0.00057988457,0.00003072227,1.034273e-7,0.08841645,0.0010449456,0.009894618,0.00052582345,0.000022974955,0.00017273781],"about_ca_topic_score_codex":0.75412995,"about_ca_topic_score_gemma":0.6416073,"teacher_disagreement_score":0.11252264,"about_ca_system_score_codex":0.00041578282,"about_ca_system_score_gemma":0.0030080294,"threshold_uncertainty_score":0.85502386},"labels":[],"label_agreement":null},{"id":"W2318758427","doi":"10.1080/17549175.2014.990916","title":"Improving walkability for seniors through accessibility to food stores: a study of three areas of Greater Montreal","year":2014,"lang":"en","type":"article","venue":"Journal of Urbanism International Research on Placemaking and Urban Sustainability","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institut National de la Recherche Scientifique; Université de Montréal","funders":"Université du Maine; Institut national de la recherche scientifique; Université Laval","keywords":"Walkability; Pedestrian; Transport engineering; Public transport; Scale (ratio); Geography; Business; Built environment; Engineering; Civil engineering; Cartography","score_opus":0.07043369593015295,"score_gpt":0.40804009225237275,"score_spread":0.3376063963222198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2318758427","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9919198,0.00006020721,0.0040133023,0.00084497145,0.00027940056,0.0016439314,0.00004141771,0.000015326836,0.0011816038],"genre_scores_gemma":[0.99898165,0.0000031804361,0.00042681003,0.000022051447,0.00031356938,0.00004576711,0.0000018154288,0.000017586894,0.00018756044],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99407995,0.0012429191,0.001329448,0.00061681995,0.0021608344,0.0005700171],"domain_scores_gemma":[0.9892644,0.0028735104,0.00078981917,0.0005382985,0.006248759,0.00028519976],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.015600973,0.0002312513,0.0006897469,0.00042133807,0.0005036736,0.00015106171,0.0009778783,0.00016568156,0.00004268775],"category_scores_gemma":[0.013484709,0.00018643466,0.00026725227,0.0004993151,0.00076077797,0.0006976706,0.00019540387,0.0006382631,2.2222008e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0041777957,0.00195685,0.955018,0.0003525975,0.00015441097,0.0000050030353,0.026081838,0.000082563085,0.000062442756,0.0054369797,0.0002130755,0.0064584436],"study_design_scores_gemma":[0.0025924027,0.0061481996,0.8846899,0.00013366136,0.00006577024,0.0000010862386,0.03350118,0.00032053905,0.00039703504,0.0708086,0.0011108152,0.00023078501],"about_ca_topic_score_codex":0.005088092,"about_ca_topic_score_gemma":0.0054037673,"teacher_disagreement_score":0.07032807,"about_ca_system_score_codex":0.00095701055,"about_ca_system_score_gemma":0.0008480068,"threshold_uncertainty_score":0.9948251},"labels":[],"label_agreement":null},{"id":"W2319169195","doi":"10.1177/0013916514543177","title":"Free Range Kids? Using GPS-Derived Activity Spaces to Examine Children’s Neighborhood Activity and Mobility","year":2014,"lang":"en","type":"article","venue":"Environment and Behavior","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":145,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Children’s Health Research Institute; Western University","funders":"","keywords":"Global Positioning System; Pedestrian; Perception; Geography; Descriptive statistics; Travel behavior; Psychology; Travel time; Test (biology); Demography; Transport engineering; Statistics; Computer science; Mathematics; Sociology; Telecommunications; Engineering","score_opus":0.02121382928828876,"score_gpt":0.26379291562013435,"score_spread":0.24257908633184558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2319169195","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981268,0.00006909959,0.0005061937,0.00035712693,0.000079232945,0.00062719674,0.00004275722,0.000044537293,0.00014703846],"genre_scores_gemma":[0.99932045,0.000040130388,0.00026979815,0.0000320241,0.00014896778,0.000037094047,0.0000033537224,0.000012323204,0.00013583881],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99855304,0.00016113889,0.00012915651,0.000522319,0.00030703106,0.0003273437],"domain_scores_gemma":[0.9992497,0.000057488658,0.00007532418,0.0003422885,0.000006429924,0.0002687995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005059193,0.0001943909,0.0002529734,0.000037985847,0.0004987688,0.00009579875,0.00017213053,0.00012245287,0.00027217716],"category_scores_gemma":[0.000032074033,0.00018100899,0.000051783918,0.000058249454,0.00042339502,0.00041656525,0.000120289435,0.00014581412,0.000003901307],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028967255,0.0004287168,0.9528569,0.000007890544,0.0000058899773,9.127374e-7,0.0010706895,8.9720754e-7,0.026055152,0.000010217346,0.0000037338386,0.019530047],"study_design_scores_gemma":[0.00049494137,0.00007838199,0.99540204,0.000007443866,0.00009766637,2.8596574e-7,0.000115690535,0.000018213655,0.0033296347,0.000061382416,0.00015558393,0.00023871005],"about_ca_topic_score_codex":0.0036373097,"about_ca_topic_score_gemma":0.0023387584,"teacher_disagreement_score":0.042545177,"about_ca_system_score_codex":0.00006731838,"about_ca_system_score_gemma":0.000016078193,"threshold_uncertainty_score":0.73813325},"labels":[],"label_agreement":null},{"id":"W2319662955","doi":"10.1016/j.yspm.2011.09.015","title":"Using the Tax System to Promote Physical Activity: Critical Analysis of Canadian Initiatives","year":2012,"lang":"en","type":"article","venue":"Yearbook of Sports Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business; Public economics; Economics","score_opus":0.05980830383780451,"score_gpt":0.36604490972795845,"score_spread":0.30623660589015395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2319662955","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97594494,0.0000912863,0.000091393355,0.0009969836,0.00014051162,0.00019761181,0.000015858055,0.000011204244,0.022510236],"genre_scores_gemma":[0.99939024,0.00000378103,0.00009295567,0.00004063489,0.0003944506,0.0000027083029,0.0000018888105,0.0000053178856,0.00006802018],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988656,0.000054948177,0.00018549699,0.00012225957,0.0004927439,0.00027896915],"domain_scores_gemma":[0.99919885,0.000085075335,0.00009751528,0.00019434206,0.00012955982,0.00029467233],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008674161,0.00007688875,0.000366731,0.00037418152,0.00012554749,0.0000039851284,0.00014341227,0.000043992193,0.0001798782],"category_scores_gemma":[0.00014613481,0.000050804978,0.00008098245,0.0013812484,0.0006063764,0.00015890505,0.000010223074,0.00008390271,8.458105e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038240603,0.0002237715,0.875692,0.00015470205,0.00035610233,0.000017733712,0.08449293,0.000016353077,0.0018151472,0.031650443,0.0001362428,0.0054063043],"study_design_scores_gemma":[0.00007117141,0.00002359079,0.9906625,0.00022024348,0.0009112914,1.5103024e-7,0.006027292,0.0001554938,0.00063099066,0.000056509885,0.001155767,0.00008495417],"about_ca_topic_score_codex":0.1757505,"about_ca_topic_score_gemma":0.024347764,"teacher_disagreement_score":0.15140274,"about_ca_system_score_codex":0.000077184435,"about_ca_system_score_gemma":0.0001958408,"threshold_uncertainty_score":0.99345535},"labels":[],"label_agreement":null},{"id":"W2320316658","doi":"10.1016/j.evalprogplan.2016.02.003","title":"Active transportation to support diabetes prevention: Expanding school health promotion programming in an Indigenous community","year":2016,"lang":"en","type":"article","venue":"Evaluation and Program Planning","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kahnawake Schools Diabetes Prevention Project; University of Alberta; McGill University","funders":"Academy of Scientific Research and Technology","keywords":"Walkability; Community-based participatory research; Pedestrian; Traffic calming; Active living; Health promotion; Context (archaeology); Community design; Psychological intervention; Indigenous; Participatory action research; Medical education; Psychology; Medicine; Environmental health; Geography; Nursing; Transport engineering; Sociology; Public health; Political science; Engineering; Physical activity","score_opus":0.13318395468932967,"score_gpt":0.48692074680703695,"score_spread":0.35373679211770725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2320316658","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958093,0.0000644749,0.00059863453,0.000488,0.00008048024,0.0026396327,0.000008226944,0.0001487352,0.0001624716],"genre_scores_gemma":[0.9976864,0.0000058016117,0.0014379149,0.00004874702,0.00007093311,0.0005112338,0.00019609893,0.000009145628,0.000033763463],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99769187,0.00090370246,0.00033647148,0.0002490121,0.00044632878,0.00037259125],"domain_scores_gemma":[0.99926984,0.00006424521,0.00015640544,0.00012145876,0.00014264797,0.00024538033],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0047121774,0.000110506306,0.0001626834,0.00014995823,0.0008135769,0.00013375022,0.00011856662,0.00008171803,0.00012402664],"category_scores_gemma":[0.00012915734,0.000094696465,0.000029766616,0.00037538848,0.00007414926,0.0010206578,0.000005483217,0.00016927654,0.0000033628107],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018196251,0.00020479126,0.4976471,0.000017315118,0.0000036086296,2.8958644e-7,0.039659154,0.000004059968,0.00003848774,0.000012791957,0.0000025297218,0.46239167],"study_design_scores_gemma":[0.0006646104,0.0012419682,0.98618144,0.00029111304,0.000016715429,7.2721576e-8,0.009228281,0.00002771044,0.00011040166,0.0017226177,0.00035675443,0.00015832362],"about_ca_topic_score_codex":0.00051243894,"about_ca_topic_score_gemma":0.011488551,"teacher_disagreement_score":0.48853433,"about_ca_system_score_codex":0.00024357297,"about_ca_system_score_gemma":0.00035296634,"threshold_uncertainty_score":0.6410881},"labels":[],"label_agreement":null},{"id":"W2320699376","doi":"","title":"Population Synthesis based Pseudo Panel Modeling of Out-of-Home Discretionary Activity Duration","year":2016,"lang":"en","type":"article","venue":"Transportation Research Board 95th Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Duration (music); Panel data; Population; Sample (material); Econometrics; Recreation; Estimation; Statistics; Demography; Psychology; Computer science; Geography; Mathematics; Engineering; Sociology; Political science","score_opus":0.12335724471474142,"score_gpt":0.40529345482249846,"score_spread":0.28193621010775705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2320699376","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98173547,0.00005732458,0.011572434,0.0026013239,0.00024522978,0.0016621674,0.0010070178,0.00017749892,0.0009415402],"genre_scores_gemma":[0.9965331,0.0002030834,0.0020037096,0.000010427348,0.00020846409,0.0003478719,0.00026312488,0.00007166135,0.00035856556],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.987234,0.0024529852,0.0018356529,0.0011087853,0.0059339087,0.0014346456],"domain_scores_gemma":[0.990056,0.0029556635,0.00054519816,0.00069130154,0.0051646126,0.0005872186],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.010871434,0.00038127662,0.0007688443,0.0014100482,0.0012076694,0.000078777,0.0008715509,0.000497487,0.0007849009],"category_scores_gemma":[0.0012529995,0.00033017463,0.00041474812,0.002240877,0.001730967,0.0019757843,0.000011334594,0.0007972037,0.000028302824],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003747832,0.0010628859,0.9266965,0.0010599488,0.00012989137,0.00003225838,0.0155812055,0.0023894347,0.02529781,0.009277499,0.00020383223,0.014520937],"study_design_scores_gemma":[0.0013432583,0.00032084485,0.9739033,0.00085530995,0.00007759087,3.382544e-8,0.0068069305,0.002471867,0.008589395,0.0047751176,0.00031997345,0.000536362],"about_ca_topic_score_codex":0.0432704,"about_ca_topic_score_gemma":0.060639,"teacher_disagreement_score":0.04720685,"about_ca_system_score_codex":0.0003568143,"about_ca_system_score_gemma":0.001179964,"threshold_uncertainty_score":0.999915},"labels":[],"label_agreement":null},{"id":"W2322631957","doi":"10.3141/2537-10","title":"Public Engagement in Public Transportation Projects","year":2015,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Public transport; Context (archaeology); Transit (satellite); Transport engineering; Appeal; Transportation planning; Community engagement; Public relations; Public engagement; Business; Public policy; Public involvement; Public participation; Political science; Engineering; Economic growth; Economics; Geography","score_opus":0.40339614298506626,"score_gpt":0.4521583965914385,"score_spread":0.04876225360637226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2322631957","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.976343,0.00034750465,0.0005571929,0.01737784,0.0009450257,0.0019895942,0.00006314486,0.0000659132,0.0023108386],"genre_scores_gemma":[0.9968357,0.00063503056,0.0009331993,0.000079297155,0.00038339608,0.00016667518,0.00005614946,0.000059828235,0.0008506962],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.982748,0.0045640445,0.0022543026,0.00069232844,0.007884401,0.0018569682],"domain_scores_gemma":[0.989411,0.0010025942,0.0006529107,0.0006211075,0.0071353368,0.0011770817],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.022995468,0.00034320704,0.00063860114,0.0021030875,0.0012436259,0.00046190777,0.002184921,0.00037746123,0.0005126104],"category_scores_gemma":[0.0009930109,0.00027964904,0.00046959307,0.006374101,0.0016097837,0.0027885768,0.0000063450766,0.003420507,0.00003446257],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00065493706,0.0007175795,0.94186336,0.00013451479,0.00007881277,0.00016237795,0.030198734,0.00012957033,0.00019374721,0.016348165,0.0040253047,0.0054928986],"study_design_scores_gemma":[0.0023157073,0.00036553078,0.8854861,0.00019805391,0.000033752865,7.3111885e-8,0.020782981,0.000023068464,0.00017273892,0.009792676,0.08054864,0.00028064725],"about_ca_topic_score_codex":0.0493757,"about_ca_topic_score_gemma":0.619832,"teacher_disagreement_score":0.57045627,"about_ca_system_score_codex":0.0010594171,"about_ca_system_score_gemma":0.0053957338,"threshold_uncertainty_score":0.99996555},"labels":[],"label_agreement":null},{"id":"W2322898929","doi":"10.1016/j.rehab.2014.03.1161","title":"Shopping malls as an environment for rehabilitation: Evaluations and interventions for persons with a disability","year":2014,"lang":"en","type":"article","venue":"Annals of Physical and Rehabilitation Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dawson College; McGill University; Université de Montréal","funders":"","keywords":"Rehabilitation; Psychological intervention; Physical medicine and rehabilitation; Psychology; Physical therapy; Medicine; Psychiatry","score_opus":0.06745778577916596,"score_gpt":0.4241887172693644,"score_spread":0.35673093149019847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2322898929","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95474505,0.000085032436,0.006278158,0.03747742,0.000026633588,0.0011663826,0.000031105454,0.00001891805,0.00017132163],"genre_scores_gemma":[0.99428636,0.000009091299,0.0050114347,0.00010665815,0.00020571864,0.00025462068,0.000035551104,0.0000069718403,0.000083624844],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9987642,0.00019990696,0.00029976695,0.00032671276,0.00025289573,0.00015649882],"domain_scores_gemma":[0.99586654,0.0034873483,0.00011767968,0.0001621474,0.00021790709,0.00014836864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017954466,0.00010104175,0.0002770613,0.000041112755,0.0003472336,0.000013185631,0.00006928883,0.000036138703,0.000035477417],"category_scores_gemma":[0.0017743508,0.000072939874,0.0001235202,0.00010048596,0.0022087218,0.0002956991,0.0000081601,0.000047910507,2.9347703e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011252852,0.0040417244,0.2529093,0.004710709,0.00017570022,9.308426e-8,0.25091904,0.00015011165,0.0015525111,0.32768574,0.00091253815,0.15581721],"study_design_scores_gemma":[0.0021066433,0.014644709,0.7392406,0.0006701441,0.00024781088,1.4295892e-7,0.034463055,0.0021215738,0.000039406154,0.19783576,0.008360241,0.00026996018],"about_ca_topic_score_codex":0.00029384473,"about_ca_topic_score_gemma":0.0005889226,"teacher_disagreement_score":0.48633125,"about_ca_system_score_codex":0.00001450165,"about_ca_system_score_gemma":0.000028245053,"threshold_uncertainty_score":0.81381273},"labels":[],"label_agreement":null},{"id":"W2323455124","doi":"10.1016/s0140-6736(15)01284-2","title":"Physical activity in relation to urban environments in 14 cities worldwide: a cross-sectional study","year":2016,"lang":"en","type":"article","venue":"The Lancet","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1318,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Cancer Institute; Health Research Council of New Zealand; Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS); Australian Research Council; Centers for Disease Control and Prevention Foundation; University of California, San Diego; National Institutes of Health; National Health and Medical Research Council; Fogarty International Center; National Heart, Lung, and Blood Institute; State Government of Victoria; Centers for Disease Control and Prevention; Ministerstvo Školství, Mládeže a Tělovýchovy; Medical Research Council; Coca-Cola Foundation","keywords":"Cross-sectional study; Geography; Relation (database); Environmental health; Physical activity; Medicine; Computer science","score_opus":0.04734357986489037,"score_gpt":0.34046232247500097,"score_spread":0.2931187426101106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2323455124","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996501,0.000003840193,0.000025722897,0.0011161593,0.00009035524,0.00028101978,0.000008894408,0.000016454862,0.001956499],"genre_scores_gemma":[0.9975392,0.0000016936373,0.0000047466006,0.000042021125,0.0004191126,0.00003284067,5.5097485e-7,0.0000032689525,0.0019565253],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99912155,0.00016723719,0.00009484494,0.00017005015,0.00025427208,0.00019204523],"domain_scores_gemma":[0.99963766,0.00013466897,0.000031969692,0.00016369951,0.000005004838,0.00002697107],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007749795,0.00005421326,0.00012738362,0.00003074309,0.0001219629,0.00003528711,0.00020979285,0.000027743385,0.00006887343],"category_scores_gemma":[0.00005971867,0.000033127602,0.000022304162,0.00016823654,0.000134148,0.0002527529,0.000022696358,0.00010241649,0.000036240617],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011528059,0.00019499249,0.99104095,9.2743534e-7,0.0000024521044,9.557145e-7,0.0075555136,0.000008276639,0.00021952933,0.00022498687,0.00006190051,0.0005742525],"study_design_scores_gemma":[0.0005217545,0.00001790631,0.99667966,0.000006660569,0.0000013184203,8.462064e-9,0.00016975017,0.000003594315,0.00004442972,0.0018612713,0.00064127025,0.000052400115],"about_ca_topic_score_codex":0.0014754671,"about_ca_topic_score_gemma":0.0142947985,"teacher_disagreement_score":0.012819332,"about_ca_system_score_codex":0.00014656685,"about_ca_system_score_gemma":0.000021268574,"threshold_uncertainty_score":0.79768336},"labels":[],"label_agreement":null},{"id":"W2326148387","doi":"","title":"How Pavement Markings Influence Bicycle and Motor Vehicle Positioning: A Case Study in Cambridge, MA","year":2005,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mount Saint Vincent University","funders":"","keywords":"Transport engineering; Intersection (aeronautics); Engineering","score_opus":0.0167856984036741,"score_gpt":0.28956312276004387,"score_spread":0.27277742435636976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2326148387","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99477476,0.000052243144,0.000011660348,0.0016237845,0.000022377422,0.00046698493,0.0000028669276,0.00004819422,0.0029971215],"genre_scores_gemma":[0.9969255,0.000004080282,0.00018187496,0.00036881887,0.00006418297,0.000025367983,6.142933e-7,0.0000046339514,0.0024249621],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99906486,0.00006925719,0.00015729331,0.0002556197,0.00021702338,0.00023592074],"domain_scores_gemma":[0.99966323,0.000037132264,0.00003931299,0.00011711694,0.00004029065,0.00010289733],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045624078,0.000081864724,0.00010512352,0.000056719768,0.0002955915,0.00020661722,0.00010044395,0.000039219787,0.000040401206],"category_scores_gemma":[0.000018158566,0.00007555259,0.000021264348,0.00021685552,0.00011509709,0.0005984682,0.000025881489,0.000082191866,0.0000032108599],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000074160894,0.00029680182,0.9917191,0.0000046072832,0.0000044816315,0.00024340708,0.005166889,0.0000020507719,0.00032236835,0.000132311,0.000027011287,0.002073554],"study_design_scores_gemma":[0.00045233802,0.000060688253,0.98229,0.000007796454,0.000008681926,0.0000031197105,0.015828663,0.00008338831,0.00011687481,0.000027652544,0.0010033163,0.00011745623],"about_ca_topic_score_codex":0.026616834,"about_ca_topic_score_gemma":0.05790243,"teacher_disagreement_score":0.031285595,"about_ca_system_score_codex":0.000084281,"about_ca_system_score_gemma":0.00004202914,"threshold_uncertainty_score":0.979865},"labels":[],"label_agreement":null},{"id":"W2326660675","doi":"10.1037/hea0000267","title":"An exploratory decision tree analysis to predict cardiovascular disease risk in African American women.","year":2016,"lang":"en","type":"article","venue":"Health Psychology","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"National Cancer Institute","keywords":"Body mass index; Medicine; Demography; Risk factor; Multivariate statistics; Walkability; Recursive partitioning; Decision tree; Disease; Multivariate analysis; Gerontology; Environmental health; Internal medicine; Physical therapy; Statistics; Computer science; Physical activity; Mathematics","score_opus":0.03207474463233029,"score_gpt":0.3845010283314576,"score_spread":0.3524262836991273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2326660675","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9824713,0.00030107968,0.011070325,0.005025532,0.00022323403,0.000350324,0.0000703539,0.00008533553,0.00040251823],"genre_scores_gemma":[0.9966286,0.0005979824,0.00034741857,0.0020739068,0.00016595822,0.00014284639,0.000005547105,0.000012034788,0.000025712146],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99629277,0.0013021511,0.0004348533,0.00077779265,0.00043772123,0.00075471005],"domain_scores_gemma":[0.99749756,0.00012905,0.00014297958,0.0009873861,0.0000560407,0.001186985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003273221,0.00013271323,0.0005317058,0.0004559885,0.00025300946,0.000015944295,0.00042500996,0.000060397942,0.00019436522],"category_scores_gemma":[0.00018426681,0.00010106156,0.00020934215,0.002245631,0.00038517333,0.00020457615,0.000015630203,0.00012221647,0.000040244733],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021589185,0.00016893206,0.76014227,0.0000025153026,0.00009950881,0.000009683349,0.007983199,0.00002929306,0.0000014717997,0.000015448204,0.0002922837,0.23103948],"study_design_scores_gemma":[0.00041644005,0.00019717761,0.9551628,0.000007837315,0.00005770102,2.3401876e-8,0.0015431918,0.0000057604675,1.6167809e-7,0.00068071834,0.041805252,0.00012290422],"about_ca_topic_score_codex":0.004709683,"about_ca_topic_score_gemma":0.0480938,"teacher_disagreement_score":0.23091657,"about_ca_system_score_codex":0.00036804972,"about_ca_system_score_gemma":0.0002832026,"threshold_uncertainty_score":0.969276},"labels":[],"label_agreement":null},{"id":"W2326864401","doi":"10.1139/l11-015","title":"Commuting mode choice in the context of travel demand management (TDM) policies: an empirical investigation in Edmonton, Alberta","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Toronto; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Carpool; Mode choice; Transport engineering; Demand management; Context (archaeology); Public transport; Nested logit; Travel behavior; Sustainability; Business; Operations research; Engineering; Economics; Econometrics; Geography","score_opus":0.04000415911881576,"score_gpt":0.2777738226775854,"score_spread":0.2377696635587696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2326864401","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9931099,0.0001487989,0.00029938496,0.0003518144,0.00007679983,0.000101767604,0.0000017630158,0.0000018848888,0.0059078755],"genre_scores_gemma":[0.99969935,0.000006823686,0.00009438369,0.00011919331,0.000057718258,0.0000017888264,8.400352e-7,0.000005812562,0.000014101602],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990788,0.00007867992,0.0003771219,0.00006870872,0.00015153241,0.00024516645],"domain_scores_gemma":[0.9994408,0.00009048659,0.0001026516,0.00010334275,0.000042820284,0.00021988219],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093394204,0.000072708586,0.00015789873,0.00023868385,0.00006671713,0.000025160716,0.0003737081,0.000052690986,0.000032931835],"category_scores_gemma":[0.00010555595,0.000062953084,0.00004040122,0.0003228495,0.00009117886,0.00030827106,0.0000034143884,0.00020167878,1.9017347e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000031423126,0.000016588005,0.85794353,0.000025513587,0.000009183556,0.00001797869,0.1396367,0.0009895026,0.000028231154,0.0010741019,0.000044959692,0.00021054554],"study_design_scores_gemma":[0.0002483373,0.000022241049,0.98383,0.00013272086,0.000011984401,0.0000011668972,0.013790398,0.0009862398,0.00004336651,0.00039985258,0.00045239867,0.00008133423],"about_ca_topic_score_codex":0.36644238,"about_ca_topic_score_gemma":0.98763835,"teacher_disagreement_score":0.621196,"about_ca_system_score_codex":0.00013227048,"about_ca_system_score_gemma":0.00024373806,"threshold_uncertainty_score":0.6377765},"labels":[],"label_agreement":null},{"id":"W2327604736","doi":"10.1080/02701367.2016.1153779","title":"Parental and Adolescent Perceptions of Neighborhood Safety Related to Adolescents' Physical Activity in Their Neighborhood","year":2016,"lang":"en","type":"article","venue":"Research Quarterly for Exercise and Sport","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":102,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Heart, Lung, and Blood Institute","keywords":"Walkability; Perception; Injury prevention; Psychology; Pedestrian; Safety behaviors; Poison control; Occupational safety and health; Human factors and ergonomics; Demographics; Suicide prevention; Physical activity; Environmental health; Developmental psychology; Demography; Medicine; Transport engineering; Engineering; Physical therapy","score_opus":0.025942329167593103,"score_gpt":0.3529078419306005,"score_spread":0.3269655127630074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2327604736","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973976,0.000072069655,0.000119221324,0.0007196746,0.00004477372,0.0011558083,0.000097240205,0.000025145117,0.0003684777],"genre_scores_gemma":[0.99939346,0.00021578307,0.000010870493,0.000007020064,0.000061103376,0.00006153549,0.0000068506542,0.000013646594,0.00022974025],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981545,0.00008965604,0.00026734936,0.00046266327,0.00045225874,0.00057354884],"domain_scores_gemma":[0.99912506,0.00009272879,0.00005275243,0.00023858903,0.00015276019,0.00033810237],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011159471,0.00014720154,0.00037122137,0.00018086686,0.00032016466,0.00003942387,0.0002060767,0.000117651085,0.000035239565],"category_scores_gemma":[0.000025255325,0.00010433538,0.00010382883,0.00039541547,0.00048310836,0.00038660853,0.000029898656,0.00020426727,0.000005196721],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00059649535,0.0007162003,0.82383794,0.00007283748,0.000006702123,0.0000027313438,0.009483389,7.242559e-8,0.0013572627,0.0009252669,0.000033944983,0.16296715],"study_design_scores_gemma":[0.00095754216,0.00032864662,0.987867,0.0005527156,0.000011293229,2.0991718e-7,0.0057017514,0.000031939704,0.00019923509,0.004066132,0.00013216844,0.00015137997],"about_ca_topic_score_codex":0.00045380837,"about_ca_topic_score_gemma":0.0008189733,"teacher_disagreement_score":0.16402903,"about_ca_system_score_codex":0.000083416875,"about_ca_system_score_gemma":0.0001606612,"threshold_uncertainty_score":0.4254673},"labels":[],"label_agreement":null},{"id":"W2328756156","doi":"10.1016/j.tbs.2016.03.001","title":"Recommending transit: Disentangling users’ willingness to recommend transit and their intended continued use","year":2016,"lang":"en","type":"article","venue":"Travel Behaviour and Society","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":45,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Transit (satellite); Transport engineering; Public transport; Business; Engineering","score_opus":0.0435022414740638,"score_gpt":0.29378225571990874,"score_spread":0.25028001424584495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2328756156","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9881707,0.00007317973,0.0063124523,0.004372057,0.0002518069,0.0003847926,0.00014068058,0.00009299523,0.00020137044],"genre_scores_gemma":[0.9979597,0.00032872817,0.0005932071,0.00044222726,0.00010944419,0.000016735221,0.000008139188,0.000023662124,0.0005182036],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984226,0.000105367784,0.00032096825,0.0004901174,0.00017319483,0.00048770616],"domain_scores_gemma":[0.9991135,0.00022207246,0.000063159954,0.00016470581,0.00007554529,0.00036101235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007079229,0.0002372149,0.00034968578,0.00002744231,0.0007253866,0.00017963137,0.00017374019,0.00018194715,0.00010113047],"category_scores_gemma":[0.00002365205,0.0001694939,0.0001983921,0.00017782464,0.00034052506,0.0005753693,0.000018409746,0.00017565077,0.0000012193078],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004588729,0.00008155306,0.8537654,0.00001642598,0.00003918695,0.0000031018349,0.12041506,7.6116805e-8,0.003116595,0.00021830887,0.00024312534,0.02205524],"study_design_scores_gemma":[0.0013463305,0.000054889395,0.9579689,0.00014612092,0.00010308319,0.0000012053243,0.035910733,0.000009711063,0.002061056,0.00040439842,0.0015178784,0.00047572821],"about_ca_topic_score_codex":0.000951065,"about_ca_topic_score_gemma":0.002291925,"teacher_disagreement_score":0.104203425,"about_ca_system_score_codex":0.000078399135,"about_ca_system_score_gemma":0.00003910204,"threshold_uncertainty_score":0.69117606},"labels":[],"label_agreement":null},{"id":"W2328911460","doi":"10.2190/iq.34.2.g","title":"Suburban Sprawl in the Developing World: Duplicating Past Mistakes? The Case of Kuala Lumpur, Malaysia","year":2014,"lang":"en","type":"article","venue":"International Quarterly of Community Health Education","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Urban sprawl; Urbanization; Economic growth; Business; Developing country; Government (linguistics); Population; Urban planning; Geography; Environmental health; Medicine; Economics; Engineering","score_opus":0.043381432892344356,"score_gpt":0.3913533568248075,"score_spread":0.3479719239324631,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2328911460","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9546983,0.00007058016,0.0005069618,0.037280504,0.00033707015,0.00031392538,0.0000058587225,0.000011405173,0.0067753475],"genre_scores_gemma":[0.998438,0.000004730436,0.00043318918,0.0007760947,0.00018647099,0.0000387427,0.000030769206,0.0000050895715,0.00008691544],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9974153,0.0014530506,0.0005942597,0.00009171661,0.00027603144,0.00016965736],"domain_scores_gemma":[0.99770147,0.0010378702,0.0005135008,0.00042173231,0.00028120703,0.00004421018],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043196655,0.0000819918,0.00015051913,0.00013978514,0.0005784302,0.000051991366,0.00090810773,0.000036172863,0.000044012333],"category_scores_gemma":[0.00015575222,0.00006249206,0.000053047457,0.00044255468,0.00031625954,0.00021035767,0.000009247563,0.0003544477,0.0000018467174],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002777689,0.0008877501,0.28703633,0.00019202025,0.00002152675,6.337808e-7,0.32861778,0.000009956229,0.000026960783,0.12913595,0.0013332686,0.25271004],"study_design_scores_gemma":[0.00021045333,0.00011576563,0.81400746,0.00019066491,0.000008256944,0.0000061624605,0.15467776,0.0001227419,0.000017263266,0.014773924,0.01575841,0.00011113562],"about_ca_topic_score_codex":0.120091245,"about_ca_topic_score_gemma":0.19294344,"teacher_disagreement_score":0.5269711,"about_ca_system_score_codex":0.00016615918,"about_ca_system_score_gemma":0.00059599715,"threshold_uncertainty_score":0.8857681},"labels":[],"label_agreement":null},{"id":"W2329013570","doi":"10.4000/belgeo.6229","title":"Scale and the workplace as level of analysis in transport geography","year":2012,"lang":"en","type":"article","venue":"BELGEO","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Transport Canada","funders":"","keywords":"Variance (accounting); Scale (ratio); Exploratory analysis; Mode of transport; Point (geometry); Mode (computer interface); Intervention (counseling); Time geography; Regional science; Economic geography; Human geography; Geography; Sociology; Psychology; Historical geography; Computer science; Transport engineering; Engineering; Data science; Economics; Mathematics; Cartography; Development geography; Public transport","score_opus":0.03388430929042223,"score_gpt":0.304182793216805,"score_spread":0.2702984839263828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2329013570","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9881285,0.0011441209,0.00008379103,0.00049979205,0.000039366594,0.00012533243,0.000010198687,0.000009482182,0.00995941],"genre_scores_gemma":[0.9989975,0.00009360923,0.00007743834,0.000047833924,0.000037746908,0.000006341514,0.0000037012944,0.000002303432,0.0007335455],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99924004,0.000076988814,0.00017263123,0.00010457926,0.00020051614,0.00020524996],"domain_scores_gemma":[0.9996538,0.00008313386,0.000051363484,0.00012518777,0.000022145283,0.00006434663],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001238215,0.000054338914,0.0001908949,0.00009263545,0.00011757387,0.000008165506,0.00014001166,0.000053536627,0.00019258376],"category_scores_gemma":[0.0000132659625,0.000033400698,0.00012285031,0.0018680977,0.00053148856,0.0001730444,0.000005754018,0.00007091837,0.0000020007526],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033309156,0.000050872484,0.9903489,0.0000044061676,0.000038239148,2.2213757e-7,0.007077343,0.0000010142377,0.0000024101948,0.00084959046,0.0000065221057,0.0015871923],"study_design_scores_gemma":[0.000291592,0.0000026453297,0.9961731,0.000004329991,0.00015546512,2.2227212e-8,0.0010768848,0.000002546953,0.000037015623,0.0006962154,0.0015106061,0.0000495927],"about_ca_topic_score_codex":0.026788512,"about_ca_topic_score_gemma":0.053654324,"teacher_disagreement_score":0.026865812,"about_ca_system_score_codex":0.000006881656,"about_ca_system_score_gemma":0.000026362775,"threshold_uncertainty_score":0.97969216},"labels":[],"label_agreement":null},{"id":"W2331358146","doi":"10.1177/1206331213487062","title":"Like a Fish Needs a Bicycle","year":2013,"lang":"en","type":"article","venue":"Space and Culture","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Mobilities; Sociology; Situated; Blueprint; Politics; Space (punctuation); Urban theory; Critical theory; Urban studies; Economic geography; Epistemology; Social science; Political science; Geography; Law; Computer science","score_opus":0.009161054705491077,"score_gpt":0.25213859345064,"score_spread":0.2429775387451489,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2331358146","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90909415,0.0002777412,0.000009809678,0.011014401,0.00011854696,0.0001493184,0.0000042428387,0.000065247485,0.07926652],"genre_scores_gemma":[0.94875455,0.000060856128,0.00006930647,0.00055212266,0.00019231223,0.000009262723,0.0000032695996,0.000002742025,0.050355554],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99957526,0.000017001721,0.00004707291,0.000098336364,0.00010758967,0.00015476836],"domain_scores_gemma":[0.99978447,0.0000053472286,0.000017636141,0.00007007489,0.000027749387,0.0000947133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006025058,0.000053615247,0.00006499973,0.000012740219,0.00024672225,0.00010694431,0.00007954093,0.00007986695,0.00086090766],"category_scores_gemma":[0.0000064246456,0.000038849532,0.000029857589,0.0001310749,0.00011340706,0.00027048474,0.000008674497,0.00007153276,0.00006860323],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000046929777,0.000042120253,0.52834034,0.000016927996,0.000014376224,0.0000022992535,0.08416529,2.2517632e-7,0.00043569805,0.0044587217,0.37799138,0.0045279376],"study_design_scores_gemma":[0.00015510501,0.00001955923,0.1621086,0.000011465209,0.000012938447,1.7496956e-7,0.021082873,0.0000036908289,0.000086973705,0.0060499604,0.81032646,0.00014218317],"about_ca_topic_score_codex":0.0045117987,"about_ca_topic_score_gemma":0.0060693217,"teacher_disagreement_score":0.43233508,"about_ca_system_score_codex":0.000009891361,"about_ca_system_score_gemma":0.00002615671,"threshold_uncertainty_score":0.9426335},"labels":[],"label_agreement":null},{"id":"W2331456110","doi":"","title":"How Large Is Too Large? The Issue of Sample Size Requirements of Regional Household Travel Surveys, the Case of Transportation Tomorrow Survey in the Greater Toronto and Hamilton Area","year":2016,"lang":"en","type":"article","venue":"Transportation Research Board 95th Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sample (material); Sample size determination; Context (archaeology); Travel survey; Travel behavior; Geography; Regional science; Survey data collection; Population; Survey sampling; Demographic economics; Transport engineering; Statistics; Economics; Engineering; Sociology; Mathematics; Demography","score_opus":0.15358717232827965,"score_gpt":0.39908687307974866,"score_spread":0.245499700751469,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2331456110","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9819512,0.00036011203,0.0005940975,0.006175142,0.00008171393,0.0023660713,0.008292884,0.000027033202,0.00015178726],"genre_scores_gemma":[0.9975483,0.0010608084,0.00015043658,0.00012111776,0.000079139405,0.0002322693,0.00027138015,0.0000463679,0.00049019995],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9858536,0.0059912615,0.0016826064,0.00090164517,0.004126791,0.0014440923],"domain_scores_gemma":[0.98657423,0.008547268,0.0005595406,0.00086681434,0.0031840028,0.00026816537],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.035213023,0.00037501147,0.0006797893,0.00031156247,0.0011217166,0.000118956006,0.001258778,0.000329938,0.00030126784],"category_scores_gemma":[0.0011502383,0.00021452237,0.00027944375,0.0019559832,0.0027007551,0.0012416294,0.000008791806,0.00074906665,0.0000012376248],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009208378,0.0004654897,0.8768696,0.000348076,0.00009139492,0.00007340062,0.11476169,0.0000055914384,0.0011976362,0.00265608,0.0017063806,0.0009038252],"study_design_scores_gemma":[0.0017349739,0.00029942376,0.9256335,0.00017081045,0.000050295865,3.053651e-7,0.067726396,0.000008441646,0.0016631149,0.0009281163,0.001558911,0.0002256941],"about_ca_topic_score_codex":0.27322638,"about_ca_topic_score_gemma":0.76842153,"teacher_disagreement_score":0.49519515,"about_ca_system_score_codex":0.00014084554,"about_ca_system_score_gemma":0.0005850695,"threshold_uncertainty_score":0.9951045},"labels":[],"label_agreement":null},{"id":"W2331519150","doi":"10.1097/01.ede.0000391902.48815.e4","title":"An Interactive Route Planner Incorporating Air Pollution and Cycling Determinants to Facilitate and Promote Cycling in Metro Vancouver, Canada","year":2010,"lang":"en","type":"article","venue":"Epidemiology","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Planner; Transport engineering; Cycling; Greenhouse gas; Public transport; Sustainable transport; Computer science; Operations research; Environmental economics; Engineering; Sustainability; Geography","score_opus":0.04406651761202606,"score_gpt":0.34406354415608803,"score_spread":0.29999702654406196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2331519150","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99735504,0.00003734829,0.00034905813,0.00096226344,0.0008536597,0.00023440953,0.00002850703,0.000024899438,0.00015481882],"genre_scores_gemma":[0.99595785,0.000004160664,0.003157831,0.0006833074,0.0001257287,0.000012059089,0.000005599506,0.0000061562605,0.000047331912],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981956,0.00044995255,0.00044981902,0.00043435433,0.00008122249,0.00038907753],"domain_scores_gemma":[0.9987329,0.000700063,0.00017753245,0.00013264873,0.000038452356,0.00021836502],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027126141,0.0001267594,0.00036625058,0.00008160607,0.00027595696,0.000011101788,0.0001351836,0.00013631309,0.000007847151],"category_scores_gemma":[0.0020825388,0.000115157025,0.000019170744,0.00014528318,0.00018822854,0.00039573753,0.000033890996,0.00035924732,5.169669e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034241428,0.000012965806,0.9873658,0.000007746639,0.0000039111787,0.000010270358,0.0028739553,0.000075438315,0.0005195152,0.00006427904,0.00005084471,0.00898107],"study_design_scores_gemma":[0.00021582321,0.000057740504,0.98876643,0.00002812615,0.000007361551,4.0801393e-7,0.002731798,0.0017320325,0.00014514569,0.0050860927,0.0010416692,0.00018739929],"about_ca_topic_score_codex":0.766588,"about_ca_topic_score_gemma":0.99825585,"teacher_disagreement_score":0.2316679,"about_ca_system_score_codex":0.00010856853,"about_ca_system_score_gemma":0.00021417651,"threshold_uncertainty_score":0.4695967},"labels":[],"label_agreement":null},{"id":"W2331968959","doi":"10.1068/3b130068p","title":"A Spatial and Temporal Comparative Analysis of the Effects of Land-Use Clusters on Activity Spaces in Three Quebec Cities","year":2014,"lang":"en","type":"article","venue":"Environment and Planning B Planning and Design","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University; Concordia University","funders":"","keywords":"Endogeneity; Geography; Land use; Biological dispersal; Variable (mathematics); Contrast (vision); Economic geography; Econometrics; Regional science; Work (physics); Mode (computer interface); Spatial econometrics; Population; Ecology; Demography; Economics; Mathematics; Computer science; Sociology; Engineering","score_opus":0.03737472610289757,"score_gpt":0.27004328613568007,"score_spread":0.2326685600327825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2331968959","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99620926,0.00025678758,0.003150339,0.000038902275,0.000032258085,0.00016776023,0.0000057165767,0.0000061354967,0.00013281898],"genre_scores_gemma":[0.9997712,0.000012564408,0.00011874204,0.000014199988,0.000017294331,0.0000035997716,0.0000033232034,0.0000022255826,0.000056851575],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99914855,0.00025838186,0.00012559416,0.00017618007,0.00016957679,0.000121723584],"domain_scores_gemma":[0.99871933,0.0010291229,0.0001255616,0.00008099882,0.000003449509,0.00004152543],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004608476,0.000100578625,0.00028434355,0.00009249075,0.00016426008,0.00003744557,0.000056893103,0.00006115746,0.0000031530758],"category_scores_gemma":[0.000042078333,0.000071966504,0.000031092808,0.00009998545,0.00038203291,0.00011078816,0.000018937057,0.0000961366,5.919104e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015611718,0.000025754598,0.9790564,0.000025880852,0.000061267274,0.0000013743793,0.018429166,0.0016778889,0.00009924706,0.000030544838,0.0000118986645,0.00042442646],"study_design_scores_gemma":[0.00030006713,0.00009903727,0.99432474,0.000116320916,0.000117699594,3.707638e-8,0.00072201627,0.0037956634,0.0003132647,0.00007494075,0.000051884057,0.00008433575],"about_ca_topic_score_codex":0.016225597,"about_ca_topic_score_gemma":0.0040124147,"teacher_disagreement_score":0.01770715,"about_ca_system_score_codex":0.000012248042,"about_ca_system_score_gemma":0.000014233577,"threshold_uncertainty_score":0.99032545},"labels":[],"label_agreement":null},{"id":"W2333281333","doi":"10.1016/j.jcjd.2013.03.253","title":"Super, Natural British Columbia? The 2012 Physical Activity Landscape","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Diabetes","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Medicine; Natural (archaeology); Physical activity; Natural landscape; Archaeology; Geography; Physical therapy","score_opus":0.008859853772243435,"score_gpt":0.2250190463456611,"score_spread":0.21615919257341767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2333281333","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944696,0.001011433,3.725139e-7,0.001982745,0.00050835084,0.0001106242,0.000013948185,0.000006182907,0.0018967314],"genre_scores_gemma":[0.99753237,0.0000041143717,0.0000071161444,0.0001742851,0.0007121937,0.0000029215096,0.0000010384115,0.000006285028,0.0015596882],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99908197,0.00010147149,0.00011868446,0.00008678161,0.00020663856,0.00040445436],"domain_scores_gemma":[0.9990082,0.00013803168,0.000087684275,0.00009502847,0.0002003354,0.00047071496],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00032468527,0.000055610675,0.00016383994,0.00002590633,0.0005916082,0.0007613555,0.00039427416,0.000049833736,0.0018231369],"category_scores_gemma":[0.00014564002,0.000054938508,0.00013197739,0.00017414796,0.00037982414,0.0008989151,0.0000047608305,0.00029643223,0.000018792096],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[1.667784e-7,0.000018441026,0.9467521,0.0000033771507,0.00001878709,0.0000032713397,0.0009205135,2.9425718e-7,0.000038095306,0.000011293293,0.038119134,0.014114541],"study_design_scores_gemma":[0.000110629,0.000017315786,0.98872024,0.000019195884,0.000018405823,3.2999995e-7,0.0005951449,0.000015312113,0.000014061018,0.00097139727,0.00943608,0.0000819149],"about_ca_topic_score_codex":0.25473952,"about_ca_topic_score_gemma":0.93246555,"teacher_disagreement_score":0.67772603,"about_ca_system_score_codex":0.000060225273,"about_ca_system_score_gemma":0.0007538665,"threshold_uncertainty_score":0.99908936},"labels":[],"label_agreement":null},{"id":"W2335085753","doi":"10.1177/0739456x15616253","title":"Active Transportation by Transit-Dependent and Choice Riders and Potential Displacement of Leisure Physical Activity","year":2015,"lang":"en","type":"article","venue":"Journal of Planning Education and Research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Université du Québec à Montréal","funders":"National Institutes of Health","keywords":"Transit (satellite); Public transport; Transport engineering; Physical activity; Travel behavior; Rail transit; Urban transit; Business; Engineering; Medicine; Physical medicine and rehabilitation","score_opus":0.07274170479507554,"score_gpt":0.45129402987193096,"score_spread":0.37855232507685543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2335085753","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974281,0.0005385252,0.00016210762,0.0014971917,0.00010921161,0.00010793304,0.000010044393,0.0000020905609,0.00014477214],"genre_scores_gemma":[0.99955106,0.00011825795,0.00003581498,0.0000040277055,0.000145481,0.0000015672886,0.0000034403358,0.0000028934012,0.00013745244],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99893874,0.00017317595,0.00012438137,0.000101184516,0.0005422812,0.00012023203],"domain_scores_gemma":[0.999236,0.00013399625,0.000109177374,0.000032825967,0.00029202324,0.00019600018],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011047843,0.00004897521,0.00012880733,0.000086374734,0.00017127389,0.000046555124,0.00005762163,0.00004781484,0.000005679167],"category_scores_gemma":[0.00007077214,0.000039657647,0.000021217873,0.000105091356,0.00024710677,0.00036297232,0.0000031244638,0.00024957123,7.7042415e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008449776,0.0012455715,0.7880706,0.0001403876,0.00007740329,0.000004248543,0.14844258,0.00004186536,0.011706368,0.000097561955,0.0022030368,0.04712536],"study_design_scores_gemma":[0.00068492553,0.00020029812,0.96981454,0.000093114184,0.000037859474,0.0000016072291,0.02548774,0.00003700907,0.0018067232,0.00040959968,0.0013594762,0.00006711678],"about_ca_topic_score_codex":0.0010284429,"about_ca_topic_score_gemma":0.00012843109,"teacher_disagreement_score":0.18174389,"about_ca_system_score_codex":0.00003974823,"about_ca_system_score_gemma":0.00043220335,"threshold_uncertainty_score":0.16171919},"labels":[],"label_agreement":null},{"id":"W2335575388","doi":"10.1061/9780784413036.085","title":"Comparison Between Traditional Four-Step &amp; Activity-Based Travel Demand Modeling - A Case Study of Tampa, Florida","year":2013,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"TRIPS architecture; Trip generation; Trip distribution; Transport engineering; Salient; Strengths and weaknesses; Travel behavior; Operations research; Computer science; Demand forecasting; Bay; Sensitivity (control systems); Mode (computer interface); Mode choice; Quarter (Canadian coin); Fidelity; Microsimulation; Travel time; Engineering; Geography; Public transport; Artificial intelligence; Civil engineering","score_opus":0.21068922586477656,"score_gpt":0.3653565876344915,"score_spread":0.15466736176971496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2335575388","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93710417,0.0000070342426,0.060250845,0.00016451869,0.00008314648,0.00069580023,0.000020990195,0.00005059739,0.0016228907],"genre_scores_gemma":[0.9984655,2.8721024e-7,0.0011183241,0.0000219648,0.00020945891,0.0000421584,0.000013772261,0.000009257871,0.00011927413],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982981,0.00018216802,0.00040231756,0.00030386282,0.0005321997,0.00028132455],"domain_scores_gemma":[0.99910456,0.0002464658,0.000117656375,0.00020798077,0.00014226354,0.00018106277],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005905963,0.0001422527,0.00037181273,0.00007778505,0.0004469088,0.00007285035,0.00020941331,0.00009712155,0.0008317821],"category_scores_gemma":[0.00002440831,0.00012650435,0.00010361408,0.00025228653,0.00013542235,0.00046000074,0.000009563069,0.00018014143,0.000013008598],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001640562,0.0009120528,0.98853946,0.000022584698,0.000036348887,0.000014866314,0.00809595,0.0011437536,0.0000776666,0.000057157788,0.00015974362,0.0009239935],"study_design_scores_gemma":[0.00335458,0.00038252785,0.844139,0.000036845526,0.0002995401,0.0000029046266,0.052027278,0.09678702,0.0003488709,0.0017646101,0.00009875116,0.0007581031],"about_ca_topic_score_codex":0.07814051,"about_ca_topic_score_gemma":0.061080374,"teacher_disagreement_score":0.1444005,"about_ca_system_score_codex":0.00005218117,"about_ca_system_score_gemma":0.0001544466,"threshold_uncertainty_score":0.9560525},"labels":[],"label_agreement":null},{"id":"W2337598566","doi":"10.3141/2598-02","title":"Socioeconomic Discrepancies in Children’s Access to Physical Activity Facilities: Activity Space Analysis","year":2016,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research; Health Canada; Heart and Stroke Foundation of Canada","keywords":"Socioeconomic status; Physical activity; Environmental health; Work (physics); Inequality; Quality (philosophy); Business; Sample (material); Physical access; Geography; Transport engineering; Gerontology; Medicine; Computer science; Population; Engineering; Computer security; Mathematics","score_opus":0.0876789843393378,"score_gpt":0.4304593077135186,"score_spread":0.3427803233741808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2337598566","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9771259,0.000033893895,0.0013713797,0.019487938,0.0002028732,0.0012898102,0.00025867333,0.000033769767,0.00019577032],"genre_scores_gemma":[0.9975677,0.000398834,0.00009393158,0.00002180274,0.00024912404,0.0001024847,0.000004571295,0.000029137198,0.0015324272],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99169004,0.0021458368,0.00082658225,0.0006820908,0.0033777007,0.0012777244],"domain_scores_gemma":[0.9951464,0.0016245473,0.0004128178,0.0005950231,0.0016034034,0.0006177985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0059357183,0.00028238853,0.00075282756,0.0016622442,0.0009528471,0.00029655098,0.0019750455,0.00020806605,0.0007095537],"category_scores_gemma":[0.00031821206,0.00018945361,0.00080484716,0.0038338017,0.0014878804,0.0025548392,0.000016745635,0.001474839,0.00003352465],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010707787,0.00046598128,0.9784921,0.00004226143,0.00028559082,0.000013029209,0.009217793,0.00022709249,0.0014754506,0.00093346246,0.0005475591,0.0072288997],"study_design_scores_gemma":[0.0008718752,0.00016558221,0.98954284,0.00009889664,0.00009761189,2.0800947e-8,0.0020019172,0.000015133178,0.0016159397,0.002200119,0.003158221,0.00023183883],"about_ca_topic_score_codex":0.1790657,"about_ca_topic_score_gemma":0.6295903,"teacher_disagreement_score":0.45052457,"about_ca_system_score_codex":0.00096728816,"about_ca_system_score_gemma":0.0012494267,"threshold_uncertainty_score":0.82640094},"labels":[],"label_agreement":null},{"id":"W2338264673","doi":"10.3141/2538-05","title":"Ridership Response to Incremental Bus Rapid Transit Upgrades in North America","year":2015,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Bus rapid transit; Transport engineering; Reliability (semiconductor); Computer science; Transit (satellite); Popularity; Service (business); Level of service; Sketch; Public transport; Engineering; Business","score_opus":0.17475621486777929,"score_gpt":0.4254494884528121,"score_spread":0.2506932735850328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2338264673","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.980607,0.00027131278,0.00032633572,0.01611595,0.0004940984,0.0015468935,0.00010260722,0.000037619153,0.000498225],"genre_scores_gemma":[0.99730444,0.0003771079,0.0009250717,0.00013652247,0.00026287785,0.000084905805,0.0000249325,0.00004709478,0.00083705736],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9851761,0.0048947413,0.0017100951,0.0005778792,0.0061878175,0.0014533721],"domain_scores_gemma":[0.9931221,0.0014362897,0.0003569828,0.0005183056,0.0032978337,0.0012685078],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.014770127,0.0002923193,0.0005928065,0.0017347997,0.0008518722,0.00022903587,0.0018753606,0.00021985346,0.00052463193],"category_scores_gemma":[0.0009136419,0.00024187019,0.0003968667,0.0064770123,0.0013929546,0.0011965323,0.00000763789,0.002344981,0.000051091567],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.010878041,0.00046158474,0.9137493,0.000071649694,0.0000650523,0.00018524697,0.060695905,0.00095615746,0.00071788684,0.00023269001,0.0057542464,0.0062322356],"study_design_scores_gemma":[0.0019169266,0.00087913556,0.90678537,0.00016138169,0.000027575157,7.590942e-8,0.02795499,0.0000115766115,0.0003499327,0.0010415181,0.060628377,0.00024317023],"about_ca_topic_score_codex":0.07332456,"about_ca_topic_score_gemma":0.6363604,"teacher_disagreement_score":0.56303585,"about_ca_system_score_codex":0.0008694383,"about_ca_system_score_gemma":0.002646398,"threshold_uncertainty_score":0.99995667},"labels":[],"label_agreement":null},{"id":"W2338619552","doi":"10.14288/1.0087700","title":"Employment relocation, residential preference, and transportation mode choice: the case of the Justice Institute of BC [sic]","year":2009,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Relocation; Preference; Economic Justice; Mode choice; Labour economics; Transport engineering; Mode (computer interface); Sociology; Business; Economics; Engineering; Computer science; Public transport; Microeconomics","score_opus":0.018581965169650046,"score_gpt":0.2388853627420237,"score_spread":0.22030339757237366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2338619552","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980144,0.00008168493,0.00018524757,0.00036266976,0.000099295234,0.00026576346,0.00008328082,0.0000104137525,0.0008972397],"genre_scores_gemma":[0.99941117,0.000081890175,0.000065737266,0.000016591059,0.000021373731,2.4476958e-7,0.0000069934863,0.0000019051383,0.0003940902],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99931884,0.00006223782,0.00014754503,0.00016386127,0.00020602533,0.000101490026],"domain_scores_gemma":[0.99936193,0.000036760423,0.00018127047,0.00017650121,0.00020207718,0.000041443225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021434698,0.000026260941,0.00012414086,0.000015132788,0.00051138934,0.000027261069,0.00026806365,0.00006218324,0.000030598094],"category_scores_gemma":[0.000032879412,0.00005306781,0.000060749153,0.00028555875,0.0007170883,0.00040840465,0.0000094189445,0.00007449779,2.2279482e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000071105096,0.0005565174,0.6267527,0.00039139026,0.00008255186,0.000093620736,0.03002899,0.00017988072,0.00053592067,0.00072942727,0.0020185884,0.33855933],"study_design_scores_gemma":[0.00031571844,0.00002436334,0.99440974,0.00006871557,0.00017143339,0.0000017674779,0.0036575613,0.000025155337,0.0000059950808,0.0011210396,0.00014411738,0.0000544139],"about_ca_topic_score_codex":0.60794914,"about_ca_topic_score_gemma":0.9548513,"teacher_disagreement_score":0.36765704,"about_ca_system_score_codex":0.000024186613,"about_ca_system_score_gemma":0.00015373803,"threshold_uncertainty_score":0.3946616},"labels":[],"label_agreement":null},{"id":"W2338782590","doi":"10.14288/1.0166305","title":"Sustainable Transport Safety : a review of barriers to, and promising engineering tools for, promoting safer bicycling and walking in Canadian communities","year":2015,"lang":"en","type":"review","venue":"cIRcle (University of British Columbia)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"SAFER; Transport engineering; Work (physics); Engineering; Sustainable transport; Business; Environmental planning; Sustainability; Computer science; Geography; Computer security","score_opus":0.021697390661843164,"score_gpt":0.24947117001142644,"score_spread":0.22777377934958326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2338782590","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.088880986,0.90804744,0.000027120746,0.000046338337,0.00003998239,0.002209573,0.00024961788,0.000022246553,0.00047670738],"genre_scores_gemma":[0.097901784,0.90152365,0.000358412,0.0000140224965,0.000016947157,0.0000046559176,0.00005258451,0.000019516414,0.00010843095],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99850017,0.00012785045,0.0003976264,0.00028876684,0.00019737885,0.0004881987],"domain_scores_gemma":[0.998698,0.00016123148,0.00021144775,0.00017152629,0.0002589567,0.0004988186],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0026978557,0.00009244919,0.0012054626,0.00015621331,0.00047068842,0.000094322575,0.0003293256,0.0001925509,0.000026437763],"category_scores_gemma":[0.00035272108,0.00025902624,0.00014867172,0.00053162355,0.00024040553,0.0005731623,0.00004783763,0.00022577493,7.6185444e-8],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000022538752,0.000008923094,0.0072363624,0.08473731,0.000029219047,0.00003386346,0.006001679,5.08321e-7,6.296755e-8,0.0000047697054,0.000013019992,0.901932],"study_design_scores_gemma":[0.0007108759,0.00007139754,0.16550875,0.32742107,0.000728206,0.000009729654,0.04035671,0.000026961627,1.4616001e-8,0.00010285738,0.4642044,0.00085902296],"about_ca_topic_score_codex":0.92836016,"about_ca_topic_score_gemma":0.98459893,"teacher_disagreement_score":0.901073,"about_ca_system_score_codex":0.00042732045,"about_ca_system_score_gemma":0.0019999647,"threshold_uncertainty_score":0.9999862},"labels":[],"label_agreement":null},{"id":"W2338866604","doi":"10.3141/2494-04","title":"Spatial Transferability of a Microresidential Mobility Model in the Integrated Land Use, Transportation, and Environment Modeling System","year":2015,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Residential area; Context (archaeology); Travel behavior; Residence; Geography; Survey data collection; Land use; Geographic information system; Transport engineering; Hazard; Nova scotia; Engineering; Cartography; Civil engineering; Economics; Demographic economics; Statistics","score_opus":0.1448399062511304,"score_gpt":0.3795318894692312,"score_spread":0.2346919832181008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2338866604","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9830506,0.00022144281,0.012644819,0.001883497,0.00018283539,0.0017198304,0.0002273205,0.000020095957,0.000049583792],"genre_scores_gemma":[0.99838746,0.00043039737,0.0008707272,0.000018636718,0.00009209162,0.00007739864,0.000038758928,0.000029311554,0.00005525033],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98911196,0.003022716,0.0021113027,0.00054175797,0.004411382,0.0008008979],"domain_scores_gemma":[0.995217,0.00088649197,0.0003831537,0.0005204979,0.0025777747,0.00041505508],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014497918,0.0002769884,0.00063506933,0.00058421696,0.0006354548,0.00017396455,0.0012057822,0.00028610206,0.00004940035],"category_scores_gemma":[0.00022320934,0.0001906237,0.000348353,0.0015040324,0.0013992684,0.0011530172,0.0000036989625,0.0018996287,0.0000016258881],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022688308,0.00053940306,0.9250728,0.0003350992,0.000066299224,0.000041588315,0.043869615,0.024691697,0.00055592635,0.0016260435,0.00013025623,0.00080243306],"study_design_scores_gemma":[0.0021186015,0.00029068312,0.96197325,0.0002993425,0.00009998026,1.7183595e-7,0.021728644,0.008479965,0.0002376738,0.004138356,0.0004212037,0.00021212126],"about_ca_topic_score_codex":0.24062796,"about_ca_topic_score_gemma":0.5771479,"teacher_disagreement_score":0.33651996,"about_ca_system_score_codex":0.00043378872,"about_ca_system_score_gemma":0.0015976314,"threshold_uncertainty_score":0.8253047},"labels":[],"label_agreement":null},{"id":"W2339274406","doi":"10.15760/trec.87","title":"Assessing Transit Fare Equity in Utah Using a Geographic Information System","year":2014,"lang":"en","type":"report","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Equity (law); Transit (satellite); Public transport; Population; Social planner; Geography; Business; Transport engineering; Geographic information system; Social equality; Economics; Engineering; Political science; Cartography; Microeconomics","score_opus":0.1143061047483809,"score_gpt":0.40528939139515663,"score_spread":0.29098328664677575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2339274406","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4219133,0.00014615692,0.009486026,0.00008837155,0.0010658255,0.00069417607,0.00002545557,0.00029015,0.56629056],"genre_scores_gemma":[0.9990597,0.00003466109,0.00026746065,0.000036740978,0.0003087588,0.000014609726,0.000091422386,0.000014548018,0.00017211652],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9963664,0.00023083005,0.00097499404,0.00032934724,0.0015686743,0.00052976736],"domain_scores_gemma":[0.9984876,0.000073586605,0.0005047092,0.00030009908,0.00049602136,0.00013801691],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0053154677,0.00026671484,0.0006056326,0.00046709625,0.00047920132,0.00076787703,0.00041156312,0.0007109101,0.0002830245],"category_scores_gemma":[0.00016086982,0.00024613805,0.00025579636,0.00073362445,0.0001789981,0.00231863,0.00003756631,0.00048362007,0.000011023073],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011188662,0.000062695595,0.9645146,0.004336532,0.00006132107,0.000023343717,0.0050474927,0.000057487086,0.0000095246205,0.0024759832,0.0002359712,0.023163823],"study_design_scores_gemma":[0.0010295373,0.000040463412,0.82887053,0.008026512,0.0005343044,0.000009175213,0.041560642,0.0031992856,0.000033310964,0.0008567586,0.11296712,0.0028723592],"about_ca_topic_score_codex":0.09266096,"about_ca_topic_score_gemma":0.034969885,"teacher_disagreement_score":0.57714635,"about_ca_system_score_codex":0.0010752031,"about_ca_system_score_gemma":0.0025221757,"threshold_uncertainty_score":0.9999991},"labels":[],"label_agreement":null},{"id":"W2339554657","doi":"10.1016/j.jth.2015.04.599","title":"A111 Transport and Child Well-Being","year":2015,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Travel behavior; Psychology; Developmental psychology; Transport engineering; Social psychology; Engineering","score_opus":0.028754091915426154,"score_gpt":0.3225133780525046,"score_spread":0.2937592861370784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2339554657","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96019715,0.00247776,0.0009430045,0.013103761,0.00071462686,0.00024506025,0.000008531356,0.00004380415,0.022266306],"genre_scores_gemma":[0.9963736,0.0010132872,0.0007540132,0.00092609203,0.00062747847,0.0000011400319,0.000006294897,0.000017957564,0.0002801622],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973277,0.00011314869,0.0009949169,0.00022014783,0.0008453237,0.0004987554],"domain_scores_gemma":[0.9980664,0.000032998963,0.00048217532,0.00014878085,0.00023001946,0.0010395782],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035135963,0.00017123626,0.0005506042,0.00014784248,0.00042236294,0.000022949904,0.0003138169,0.00012255133,0.00012254874],"category_scores_gemma":[0.00001770481,0.00014826056,0.00019531797,0.00031806756,0.00026382468,0.00066317775,0.0000025253132,0.00049926975,0.000003934646],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015486368,0.00017166875,0.96739787,0.000103180755,0.000032741984,0.0001015719,0.027981564,0.00001441831,0.0000022965419,0.0012609576,0.0003406095,0.0024382637],"study_design_scores_gemma":[0.0014269431,0.0003355541,0.856256,0.00025964482,0.00007730357,0.000025472676,0.003865174,0.0000028113677,0.00002175747,0.0029010125,0.13459079,0.00023754884],"about_ca_topic_score_codex":0.003049727,"about_ca_topic_score_gemma":0.006951482,"teacher_disagreement_score":0.13425018,"about_ca_system_score_codex":0.00014802159,"about_ca_system_score_gemma":0.0014024151,"threshold_uncertainty_score":0.604589},"labels":[],"label_agreement":null},{"id":"W2339579809","doi":"10.1080/01441647.2016.1174748","title":"Forty years of modelling rapid transit’s land value uplift in North America: moving beyond the tip of the iceberg","year":2016,"lang":"en","type":"article","venue":"Transport Reviews","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":115,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Proxy (statistics); Transit (satellite); Iceberg; Land use; Econometrics; Value (mathematics); Work (physics); Geography; Regional science; Operations research; Public economics; Economics; Transport engineering; Public transport; Computer science; Engineering","score_opus":0.03530565671292442,"score_gpt":0.27407112172902265,"score_spread":0.23876546501609824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2339579809","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98912007,0.004705245,0.003189465,0.0004758284,0.00012261218,0.00083557144,0.00004420549,0.000014251437,0.0014927697],"genre_scores_gemma":[0.99173355,0.007728057,0.00018612441,0.0001159015,0.00005139183,0.000021987946,0.000004585673,0.0000114654395,0.00014690663],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981156,0.00015648158,0.00080762105,0.00025548405,0.00037823393,0.00028658344],"domain_scores_gemma":[0.99901557,0.00012297314,0.00031188905,0.00045099936,0.000040465864,0.00005812],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013305813,0.00014217685,0.0005197163,0.000037054037,0.000113917435,0.000005357971,0.00063372805,0.00007012809,0.00016273047],"category_scores_gemma":[0.000016313475,0.00006992733,0.00036022757,0.00062050676,0.00051037315,0.00020102592,0.00000656844,0.00015026877,0.0000035978721],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025219457,0.00007360134,0.9426929,0.00013033717,0.00001558286,0.0000015685946,0.009971662,0.00030103922,0.000103781276,0.00017136385,0.00002528618,0.04648769],"study_design_scores_gemma":[0.0004922036,0.00002627966,0.9250991,0.00037635362,0.00014767211,1.4657655e-7,0.00029123656,0.000062813655,0.00017715897,0.0007172365,0.0723799,0.00022990533],"about_ca_topic_score_codex":0.0047986326,"about_ca_topic_score_gemma":0.034253117,"teacher_disagreement_score":0.072354615,"about_ca_system_score_codex":0.00002734198,"about_ca_system_score_gemma":0.00013454368,"threshold_uncertainty_score":0.98336923},"labels":[],"label_agreement":null},{"id":"W2340144526","doi":"","title":"\"It’s not all about me\": interactive effects of psychosocial and built-environment variables on physical-activity","year":2015,"lang":"en","type":"article","venue":"European Health Psychologist","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Neighbourhood (mathematics); Psychosocial; Physical activity; Feeling; Psychology; Association (psychology); Gerontology; Medicine; Social psychology; Physical therapy; Mathematics","score_opus":0.09303578028371301,"score_gpt":0.41172000251927393,"score_spread":0.3186842222355609,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2340144526","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89609814,0.00013947728,0.0003540985,0.013345397,0.0008189526,0.0005963098,0.000030314466,0.00007740121,0.08853992],"genre_scores_gemma":[0.9959104,0.00021553789,0.00018638547,0.0030050655,0.00037523557,0.000008711485,0.000004941037,0.000020606241,0.000273083],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9974013,0.0010952702,0.0002569753,0.00049441936,0.00038007364,0.0003719899],"domain_scores_gemma":[0.9986894,0.00026272365,0.0003323515,0.00034421618,0.00003525197,0.0003360429],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015283942,0.0001787099,0.000332147,0.00004279206,0.00023814921,0.00003677809,0.0003061315,0.000050748687,0.000032453503],"category_scores_gemma":[0.00017462378,0.00015964037,0.00007190986,0.00009747182,0.0006690208,0.00016999056,0.00004198384,0.00030476192,0.000063799715],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005080772,0.016716326,0.1651196,0.001049921,0.00045353372,0.00016659091,0.34737825,0.000052969634,0.0035477553,0.013796808,0.11972927,0.3269082],"study_design_scores_gemma":[0.0013430392,0.0011346989,0.89987653,0.00011756222,0.00002112905,2.7238482e-7,0.00082973874,0.000006166979,0.00016382527,0.0007662094,0.09548191,0.00025891984],"about_ca_topic_score_codex":0.001565783,"about_ca_topic_score_gemma":0.00016112598,"teacher_disagreement_score":0.73475695,"about_ca_system_score_codex":0.00012830364,"about_ca_system_score_gemma":0.0000680795,"threshold_uncertainty_score":0.65099454},"labels":[],"label_agreement":null},{"id":"W2340673265","doi":"10.2139/ssrn.2657197","title":"An Empirical Analysis of Bike Sharing Usage and Rebalancing: Evidence from Barcelona and Seville","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Bike sharing; Car sharing; Empirical evidence; Business; Regional science; Geography; Advertising; Transport engineering; Engineering","score_opus":0.05089501902513446,"score_gpt":0.3593147709895098,"score_spread":0.3084197519643754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2340673265","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9916647,0.006309037,0.0011716707,0.0004528662,0.000039406284,0.000051708055,0.0000036252995,0.000015549726,0.00029144055],"genre_scores_gemma":[0.99785715,0.001714964,0.00013660826,0.00003277528,0.00013181218,7.030476e-7,0.000003024438,0.0000054667557,0.00011751629],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981437,0.00014953868,0.00027054158,0.00027170926,0.0003790124,0.000785543],"domain_scores_gemma":[0.99923515,0.000101089725,0.00014039851,0.0001553582,0.00010608772,0.0002619008],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036179656,0.00009214919,0.00027122188,0.00013312168,0.00024579273,0.00009786188,0.00027247582,0.000075135526,0.000041558433],"category_scores_gemma":[0.00017350374,0.00007835352,0.00006880764,0.00052315707,0.00018907855,0.00062087824,0.000028485174,0.0005270768,5.768962e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003344457,0.000025006762,0.9907536,0.0000019081212,0.00015571498,0.0000018308957,0.005501962,0.000010100036,0.00015622396,0.0004810939,0.000006142775,0.0028729902],"study_design_scores_gemma":[0.00032164057,0.00016612992,0.94076985,0.00003295338,0.00056083285,0.0000025812417,0.010178423,0.0013039529,0.000038430608,0.046256937,0.00019945191,0.00016881639],"about_ca_topic_score_codex":0.0067275977,"about_ca_topic_score_gemma":0.059330653,"teacher_disagreement_score":0.05260306,"about_ca_system_score_codex":0.0002568028,"about_ca_system_score_gemma":0.0010799288,"threshold_uncertainty_score":0.9998867},"labels":[],"label_agreement":null},{"id":"W2341354411","doi":"10.1186/s12889-016-2994-0","title":"Walkability around primary schools and area deprivation across Scotland","year":2016,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Medical Research Council; University of Glasgow","keywords":"Medicine; Biostatistics; Demography; Attendance; Confounding; Walkability; Geography; Socioeconomics; Inequality; Public health; Physical activity; Sociology; Economic growth","score_opus":0.07200073945222014,"score_gpt":0.35582848931100564,"score_spread":0.2838277498587855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2341354411","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9724407,0.00019302106,0.005581634,0.0193816,0.00015485697,0.00041485293,0.00003518443,0.00012666963,0.0016714524],"genre_scores_gemma":[0.9981083,0.00010675301,0.00053152896,0.0006119505,0.00021045361,0.000018167517,0.000014519129,0.0000073992205,0.00039088703],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979216,0.00029871613,0.00036041127,0.00040910038,0.00037127914,0.0006389291],"domain_scores_gemma":[0.9987262,0.00021822988,0.00014381696,0.00030456999,0.00011743385,0.00048976234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043386864,0.00010482396,0.00020823262,0.00003719473,0.00076619064,0.00022782022,0.00022029459,0.00010404471,0.00008441355],"category_scores_gemma":[0.00069537706,0.00007281885,0.00004250943,0.00027718858,0.00034482227,0.0011558451,0.000040760733,0.00011275907,0.000014869951],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008930588,0.00005725399,0.95837665,0.00005099656,0.0000026190314,1.9970118e-7,0.0013650829,1.8953383e-8,0.000016384378,0.00088095135,0.00027325854,0.038967673],"study_design_scores_gemma":[0.0003887373,0.000020806387,0.97032344,0.000023549885,0.0000011000287,1.9436425e-7,0.00069121853,0.0000019255097,0.000003919654,0.0033295676,0.025115563,0.000099992525],"about_ca_topic_score_codex":0.003957923,"about_ca_topic_score_gemma":0.019320564,"teacher_disagreement_score":0.03886768,"about_ca_system_score_codex":0.00047989134,"about_ca_system_score_gemma":0.0018930867,"threshold_uncertainty_score":0.99857426},"labels":[],"label_agreement":null},{"id":"W2341703929","doi":"10.1016/j.jtrangeo.2018.02.002","title":"Empirical models of transit demand with walk access/egress for planning transit oriented developments around commuter rail stations in the Greater Toronto and Hamilton Area","year":2018,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Transport engineering; Train; Transit (satellite); TRIPS architecture; Mode choice; Transit-oriented development; Population; Geography; Public transport; Engineering","score_opus":0.06482460964357897,"score_gpt":0.3466131094094543,"score_spread":0.2817884997658753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2341703929","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.942923,0.00033169007,0.055321325,0.00040197343,0.00008130686,0.00041963876,0.000049601378,0.000008833413,0.00046261091],"genre_scores_gemma":[0.9975973,0.0000826609,0.002025426,0.00017253417,0.000070612754,0.00001490397,0.000016442355,0.000011945329,0.000008209898],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99808997,0.000098404664,0.00070406735,0.00020882355,0.00057118817,0.00032757164],"domain_scores_gemma":[0.9989763,0.00011479052,0.00027458442,0.00014026614,0.00037087375,0.00012321389],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010947731,0.00018523783,0.000410685,0.00017949217,0.00042202164,0.00007876265,0.00044473688,0.00010994289,0.000029009929],"category_scores_gemma":[0.00000325063,0.00011786063,0.00018144606,0.0003986351,0.0006643021,0.0013011986,0.0000026082964,0.00018291561,3.4941614e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009035914,0.00018011515,0.91041553,0.00005154617,0.00013488933,0.000019555859,0.087742954,0.00017156008,0.000016736156,0.000025203075,0.00003211279,0.00030618653],"study_design_scores_gemma":[0.0019560498,0.0003172811,0.989252,0.0002185596,0.0002190535,0.0000044934905,0.005115385,0.00006608314,0.00008879241,0.0007589673,0.0018261588,0.00017718383],"about_ca_topic_score_codex":0.000999737,"about_ca_topic_score_gemma":0.025214013,"teacher_disagreement_score":0.08262757,"about_ca_system_score_codex":0.000030607174,"about_ca_system_score_gemma":0.00016791628,"threshold_uncertainty_score":0.9925733},"labels":[],"label_agreement":null},{"id":"W2341854916","doi":"","title":"Walk Score® and the prevalence of utilitarian walking and obesity among Ontario adults: A cross-sectional study.","year":2015,"lang":"en","type":"article","venue":"PubMed","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":69,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institute for Clinical Evaluative Sciences","funders":"","keywords":"Walkability; Overweight; Neighbourhood (mathematics); Odds; Socioeconomic status; Obesity; Medicine; Population; Logistic regression; Cross-sectional study; Environmental health; Demography; Gerontology; Built environment; Geography; Physical activity; Physical therapy; Sociology","score_opus":0.03939408730288248,"score_gpt":0.26804370646320513,"score_spread":0.22864961916032267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2341854916","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958634,0.00028970194,0.0000034175373,0.000052238775,0.00017060299,0.0010856874,0.000006736131,0.000021370139,0.0025068817],"genre_scores_gemma":[0.99849755,0.000008157787,0.000010865854,0.000011779623,0.000067762354,0.00016249508,7.020471e-7,0.000003037552,0.001237631],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99874145,0.00015314658,0.00023462332,0.00026332235,0.00038262756,0.0002248537],"domain_scores_gemma":[0.9993728,0.000115622235,0.0000948314,0.0001471674,0.00012351504,0.00014611184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030194842,0.00007735146,0.00014287444,0.000023862287,0.00032304542,0.00010107715,0.0001978164,0.00005534413,0.00002969604],"category_scores_gemma":[0.00028447012,0.000054208136,0.0000345817,0.00011509843,0.0012272666,0.00039420734,0.000053129843,0.0001300254,2.6873306e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017235593,0.00008155299,0.9673733,0.000032855376,0.000013060101,0.0000010075601,0.030404473,1.6638205e-7,2.7569236e-8,0.00016708623,0.0000039172696,0.0017501906],"study_design_scores_gemma":[0.0011533455,0.000014210443,0.9957042,0.0000069309017,0.000024170311,1.8544232e-7,0.0014319404,0.000003844135,0.000001355829,0.0015352957,0.000061471605,0.00006309367],"about_ca_topic_score_codex":0.23283976,"about_ca_topic_score_gemma":0.5426063,"teacher_disagreement_score":0.3097665,"about_ca_system_score_codex":0.0000885874,"about_ca_system_score_gemma":0.00011352643,"threshold_uncertainty_score":0.77226883},"labels":[],"label_agreement":null},{"id":"W2342316345","doi":"10.1016/j.ssmph.2016.03.004","title":"Disparities in pedestrian streetscape environments by income and race/ethnicity","year":2016,"lang":"en","type":"article","venue":"SSM - Population Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":106,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Institute of Environmental Health Sciences; National Heart, Lung, and Blood Institute; National Institutes of Health","keywords":"Ethnic group; Pedestrian; Geography; Walkability; Socioeconomic status; Household income; Metropolitan area; Demography; Socioeconomics; Built environment; Demographic economics; Sociology; Population; Economics","score_opus":0.02411794869108198,"score_gpt":0.3287276887512174,"score_spread":0.3046097400601354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2342316345","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99542654,0.0003834715,0.0001386882,0.0034793576,0.00008287017,0.00024312017,0.000031465555,0.00002633689,0.00018814502],"genre_scores_gemma":[0.9986652,0.00036271545,0.000045461053,0.00011584878,0.00005327342,0.000007231777,0.0000263566,0.000005437251,0.00071847066],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99878603,0.00019727519,0.00029022986,0.00021758908,0.00022871431,0.00028018083],"domain_scores_gemma":[0.9995558,0.0000653665,0.00011382828,0.00011027232,0.0000048358197,0.00014987939],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065636245,0.00007584929,0.00015321815,0.00004264551,0.00026985258,0.000021941802,0.00008131876,0.00007118588,0.00011568685],"category_scores_gemma":[0.000043249645,0.00006037102,0.000019076235,0.000101007274,0.00012944461,0.0003851277,0.000012563987,0.000070023525,0.0000050457106],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008410436,0.000031132025,0.98975325,0.000013671205,0.0000010422079,2.059117e-7,0.000784138,3.1872625e-7,0.000007833594,0.0006374458,0.000066508685,0.008696073],"study_design_scores_gemma":[0.0003032379,0.000018349168,0.9944258,0.000028532533,0.0000013613098,2.2192248e-8,0.00017716941,0.000004270071,0.0000034460802,0.0035711084,0.0013917792,0.00007493479],"about_ca_topic_score_codex":0.050321653,"about_ca_topic_score_gemma":0.061778884,"teacher_disagreement_score":0.01145723,"about_ca_system_score_codex":0.00019512617,"about_ca_system_score_gemma":0.00006234539,"threshold_uncertainty_score":0.95600235},"labels":[],"label_agreement":null},{"id":"W2342350879","doi":"10.1177/0013916515615389","title":"Disentangling Associations of Neighborhood Street Scale Elements With Physical Activity in Mexican School Children","year":2016,"lang":"en","type":"article","venue":"Environment and Behavior","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Universidad de Guadalajara","keywords":"Walkability; Pedestrian; Physical activity; Scale (ratio); Geography; Environmental health; Psychology; Built environment; Gerontology; Medicine; Cartography; Physical therapy; Engineering","score_opus":0.013350193044205672,"score_gpt":0.27252971572486157,"score_spread":0.2591795226806559,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2342350879","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993681,0.000007698138,0.000016943026,0.00010462657,0.000011336397,0.00023677497,0.00007143833,0.000009085756,0.00017400074],"genre_scores_gemma":[0.99974394,0.00001658182,0.000050342253,0.0000029902437,0.00004637538,0.000022606248,0.0000066520643,0.000004649685,0.00010584528],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992856,0.00004002035,0.000096122516,0.00017575796,0.00024169906,0.00016081255],"domain_scores_gemma":[0.9997279,0.000021782407,0.000076514145,0.000090603535,0.0000037324166,0.000079483434],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000113501424,0.00007092085,0.00011935666,0.000022039694,0.00010319043,0.000009684334,0.00007534892,0.00003290649,0.00013497338],"category_scores_gemma":[0.000004806291,0.00004813737,0.000029463396,0.000055891025,0.00017735426,0.00021566825,0.00001731624,0.000052377538,0.0000023401105],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000070307597,0.0006634662,0.9888323,9.56158e-7,0.0000054416673,5.48763e-7,0.00033193745,9.888902e-8,0.0010853317,0.000016782384,0.0000012939273,0.009054818],"study_design_scores_gemma":[0.000458749,0.00003532114,0.9976581,0.000012981301,0.00005568947,9.800172e-9,0.00016458999,0.0000010960337,0.0014890521,0.00004199431,0.00000570011,0.00007677162],"about_ca_topic_score_codex":0.00040016664,"about_ca_topic_score_gemma":0.0017019048,"teacher_disagreement_score":0.0089780465,"about_ca_system_score_codex":0.00008555224,"about_ca_system_score_gemma":0.000020857078,"threshold_uncertainty_score":0.19629851},"labels":[],"label_agreement":null},{"id":"W2343661017","doi":"","title":"Investigating the Choice Making Behavior of Transport Users: The Role of Psychology and Choice Contexts in Commuting Mode Choice Process","year":2016,"lang":"en","type":"article","venue":"Transportation Research Board 95th Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mode choice; TRIPS architecture; Public transport; Expectancy theory; Mode (computer interface); Journey to work; Value (mathematics); Mode of transport; Transport engineering; Work (physics); Carpool; Psychology; Social psychology; Engineering; Computer science","score_opus":0.08493015617935401,"score_gpt":0.4593581764929123,"score_spread":0.37442802031355826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2343661017","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9912114,0.0006591607,0.000088072506,0.0038249723,0.00008481506,0.0026470695,0.00033546964,0.00008074455,0.0010682524],"genre_scores_gemma":[0.9983138,0.0003255092,0.00028923087,0.00009373673,0.00016324881,0.0005955419,0.000051016163,0.000062859144,0.00010508519],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98913914,0.0023873658,0.001972346,0.0010262869,0.003805116,0.0016697687],"domain_scores_gemma":[0.98868835,0.006502459,0.0006170664,0.00075762975,0.003055871,0.0003786146],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0115608,0.00038725237,0.00069526944,0.00074250915,0.0015397579,0.000081552134,0.0016914158,0.00040315976,0.00014213019],"category_scores_gemma":[0.0019995652,0.00026091095,0.00021456083,0.0030016624,0.0058227247,0.0012253484,0.000017386836,0.0017009733,0.000003785811],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021190465,0.0002666142,0.9285862,0.00027981997,0.000043231048,0.000008174096,0.050301474,0.000059507816,0.008401988,0.0024106,0.000029454146,0.00940106],"study_design_scores_gemma":[0.0014430807,0.00019022671,0.96618366,0.0007344968,0.000057398647,1.11434794e-7,0.023195669,0.000037366906,0.0023333055,0.0030616373,0.002476341,0.0002866894],"about_ca_topic_score_codex":0.10455637,"about_ca_topic_score_gemma":0.40373513,"teacher_disagreement_score":0.29917875,"about_ca_system_score_codex":0.00012198072,"about_ca_system_score_gemma":0.0008717862,"threshold_uncertainty_score":0.9999843},"labels":[],"label_agreement":null},{"id":"W2344390530","doi":"10.63315/jrcd.v1i1.3","title":"Using Sustainability Indicators to Improve Access to Public Transit in Rural Residential Areas: Alternatives for the Georgia Basin, British Columbia","year":2006,"lang":"en","type":"article","venue":"Journal of rural and community development","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Simon Fraser University; University of Guelph","funders":"","keywords":"Sustainability; Public transport; Urban sustainability; Structural basin; Transit (satellite); Geography; Environmental planning; Regional science; Business; Environmental resource management; Environmental protection; Environmental science; Transport engineering; Engineering; Ecology","score_opus":0.02503075278749975,"score_gpt":0.31015153528401074,"score_spread":0.28512078249651096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2344390530","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99391925,0.0001337217,0.0011589658,0.0038447282,0.00018650459,0.00066743424,0.0000106600455,0.000008990318,0.00006974144],"genre_scores_gemma":[0.9989249,0.000015496553,0.00053635763,0.00016060717,0.00011669743,0.000019171417,0.0000028657032,0.0000068469426,0.00021703726],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99812144,0.00043480349,0.00059896486,0.00008489628,0.00039542894,0.0003644886],"domain_scores_gemma":[0.99876523,0.0002759625,0.00021649539,0.00013218336,0.0004200056,0.00019015234],"candidate_categories":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0029163382,0.00010133442,0.00027476813,0.000127164,0.001756556,0.001176242,0.0008322608,0.000063548854,0.000041878906],"category_scores_gemma":[0.00025134813,0.00010108016,0.00008613735,0.0004901022,0.000198542,0.0007819881,0.00012272739,0.00041895694,1.3665364e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001172158,0.00024181443,0.8924286,0.000041446576,0.00003222299,0.0000052562536,0.015774455,0.000018572671,0.000030616673,0.000024347957,0.00019099694,0.09109447],"study_design_scores_gemma":[0.0004610125,0.00006734004,0.9639448,0.00009420692,0.00001663956,0.00000274025,0.028980065,0.0000036832791,0.00006296483,0.0026490537,0.0035760184,0.00014145659],"about_ca_topic_score_codex":0.18718402,"about_ca_topic_score_gemma":0.6810767,"teacher_disagreement_score":0.4938927,"about_ca_system_score_codex":0.0005451405,"about_ca_system_score_gemma":0.00097876,"threshold_uncertainty_score":0.99986064},"labels":[],"label_agreement":null},{"id":"W2344481453","doi":"10.3141/2563-01","title":"Unifying Long- and Short-Distance Personal Travel in a Statewide Planning Model","year":2016,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Travel behavior; Microsimulation; Travel survey; Travel time; Transport engineering; Consistency (knowledge bases); Mode (computer interface); Computer science; Duration (music); Key (lock); Mode choice; Operations research; Econometrics; Economics; Engineering; Public transport","score_opus":0.1652334472629417,"score_gpt":0.437110587598147,"score_spread":0.2718771403352053,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2344481453","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98276347,0.0004304241,0.0110464925,0.004541919,0.00017068691,0.00069557165,0.000075952405,0.000019895075,0.00025561405],"genre_scores_gemma":[0.99686986,0.0011377936,0.0006421569,0.00003070802,0.00012326428,0.00003703745,0.0000053411463,0.000034240362,0.0011195854],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9925598,0.0011224665,0.0012292976,0.0004851012,0.0034871267,0.0011161999],"domain_scores_gemma":[0.9961814,0.0011853194,0.00024751923,0.00025675652,0.0016428421,0.00048612992],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0075981696,0.00021982318,0.00043129997,0.00082007184,0.00092415855,0.00014853534,0.00086388533,0.00020602404,0.00015227386],"category_scores_gemma":[0.00023422024,0.00014851046,0.00022616677,0.001610672,0.0016068245,0.0013447497,0.000005471686,0.0015250588,0.000003117382],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010044972,0.00013621568,0.96661526,0.00011260548,0.00003766254,0.00014807298,0.020785876,0.00034667898,0.0020226163,0.0017257818,0.00024788975,0.0068168594],"study_design_scores_gemma":[0.0012067481,0.00013245374,0.9824498,0.00066251983,0.000021415291,1.1945643e-7,0.0071798195,0.00029310625,0.00043030802,0.006636515,0.00079114124,0.00019601309],"about_ca_topic_score_codex":0.011644564,"about_ca_topic_score_gemma":0.23103365,"teacher_disagreement_score":0.2193891,"about_ca_system_score_codex":0.00040807328,"about_ca_system_score_gemma":0.0011985195,"threshold_uncertainty_score":0.994937},"labels":[],"label_agreement":null},{"id":"W2344566571","doi":"","title":"Chasing sustainability: Do new TOD residents adopt more sustainable modes of transportation?","year":2015,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Technische Universiteit Delft; McGill University","keywords":"Sustainability; Business; Sustainable development; Environmental planning; Sustainable transport; Geography; Political science","score_opus":0.02896554564283907,"score_gpt":0.29797512313324914,"score_spread":0.2690095774904101,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2344566571","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9699315,0.00032290735,0.0000062848403,0.000340883,0.00019128223,0.0008778749,0.00017626946,0.00023118002,0.027921852],"genre_scores_gemma":[0.9920943,0.000026271075,0.00064885075,0.00010459025,0.00007498622,0.000029028695,0.00004824757,0.000055414577,0.0069183516],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99538565,0.00036976868,0.00092739466,0.0008310422,0.001406604,0.0010795485],"domain_scores_gemma":[0.99625444,0.00016338626,0.00038551717,0.00069012673,0.0016460879,0.0008604181],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0026776348,0.00038212724,0.00058354455,0.00025127662,0.0012869652,0.00013832554,0.00085803075,0.0003680029,0.000161812],"category_scores_gemma":[0.0013904785,0.000404632,0.0002793771,0.0012605771,0.00048073614,0.0027016206,0.000055944838,0.00052464585,0.000013493369],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00091449026,0.0011306092,0.1863964,0.0009313271,0.00021022558,0.000341211,0.003374727,0.00087075285,0.0017037455,0.73760635,0.00011106415,0.0664091],"study_design_scores_gemma":[0.0036140527,0.00030133445,0.10173522,0.00023915948,0.00034090935,0.0000019693398,0.08680561,0.00002091018,0.022356002,0.70933837,0.07370627,0.0015401972],"about_ca_topic_score_codex":0.036166385,"about_ca_topic_score_gemma":0.0060320473,"teacher_disagreement_score":0.08466118,"about_ca_system_score_codex":0.0013395539,"about_ca_system_score_gemma":0.0008922137,"threshold_uncertainty_score":0.99984056},"labels":[],"label_agreement":null},{"id":"W2344625302","doi":"10.18192/riss-ijhs.v2i2.1516","title":"Ride Forward – An Evaluation of Cycling in Two Ottawa Neighborhoods","year":2012,"lang":"en","type":"article","venue":"Revue interdisciplinaire des sciences de la santé - Interdisciplinary Journal of Health Sciences","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Cycling; Flexibility (engineering); Population; Geography; Environmental planning; Environmental health; Medicine; Forestry","score_opus":0.09597710279128906,"score_gpt":0.5179134247673037,"score_spread":0.42193632197601466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2344625302","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9710714,0.0046790643,0.0022502255,0.0014083106,0.0012531807,0.00041830327,0.000007454592,0.00002759845,0.018884426],"genre_scores_gemma":[0.9923033,0.00013279832,0.0067963065,0.000060108952,0.0006608676,0.000012954324,0.0000013587884,0.000015615116,0.000016692195],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9898066,0.0039078463,0.0023576291,0.0005440807,0.0019973153,0.0013865086],"domain_scores_gemma":[0.9955301,0.0010328437,0.0020209916,0.00030378794,0.000516431,0.0005958409],"candidate_categories":["metaresearch","metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.08277157,0.00031211396,0.00085519644,0.0010652795,0.002967833,0.00026450117,0.0021355539,0.0001382364,0.00018653051],"category_scores_gemma":[0.0007899305,0.0002532543,0.00035809,0.0023523108,0.008543682,0.0048672794,0.00041364637,0.0005759057,0.0000033627794],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000724806,0.0006700252,0.7944801,0.00014286442,0.00001859771,0.000009775139,0.13645788,0.0027315747,0.00018878425,0.0021626193,0.000084726336,0.062980615],"study_design_scores_gemma":[0.0009692922,0.0014340848,0.7495713,0.0023245465,0.00008543451,0.0001371337,0.09896967,0.0076640598,0.0003211016,0.13802011,0.000054902233,0.0004483627],"about_ca_topic_score_codex":0.0008001609,"about_ca_topic_score_gemma":0.007538073,"teacher_disagreement_score":0.1358575,"about_ca_system_score_codex":0.0012411082,"about_ca_system_score_gemma":0.0028127874,"threshold_uncertainty_score":0.99999195},"labels":[],"label_agreement":null},{"id":"W2345679629","doi":"10.5539/gjhs.v8n12p248","title":"Perception and Misperception of Health Enhancing Physical Activity among Urban Community Dwellers in Ibadan, Nigeria: Profiling the Underestimators, the Overestimators, and the Realists","year":2016,"lang":"en","type":"article","venue":"Global Journal of Health Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Physical activity; Perception; Descriptive statistics; Logistic regression; Psychology; Demography; Gerontology; Medicine; Environmental health; Physical therapy; Statistics","score_opus":0.029197506698884684,"score_gpt":0.35793779031907713,"score_spread":0.3287402836201925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2345679629","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9877168,0.00024910827,0.00076605304,0.010659495,0.00014657392,0.00037455928,0.00000588443,0.000006893908,0.000074620984],"genre_scores_gemma":[0.99938416,0.00028136306,0.000118800366,0.00014523881,0.00006290423,0.0000019040754,1.890909e-7,0.0000026237383,0.0000027939905],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9967455,0.0014732608,0.0005122042,0.00016369624,0.00071710796,0.00038821576],"domain_scores_gemma":[0.9982524,0.00042252257,0.00081286684,0.00022591597,0.00013696354,0.00014935795],"candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.013722143,0.000107169384,0.00032851566,0.000040910138,0.002276784,0.00010078894,0.0005571278,0.000038236707,0.000002799673],"category_scores_gemma":[0.00037873507,0.000045838973,0.000055519955,0.0005313439,0.0051369434,0.00073016237,0.00007317382,0.00035226133,1.8828362e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008855164,0.000078945304,0.9684562,0.00004619378,0.000003805054,3.5849382e-7,0.012759661,0.000010463545,0.00037100515,0.0014578723,0.000052475025,0.016674487],"study_design_scores_gemma":[0.00042152105,0.00006591504,0.9858982,0.000216956,0.000004782553,0.0000050209383,0.0102369785,0.00014228439,0.00002615813,0.0029220155,0.000009992346,0.00005019114],"about_ca_topic_score_codex":0.020828715,"about_ca_topic_score_gemma":0.012711351,"teacher_disagreement_score":0.017442003,"about_ca_system_score_codex":0.00054893794,"about_ca_system_score_gemma":0.0012923069,"threshold_uncertainty_score":0.9990221},"labels":[],"label_agreement":null},{"id":"W2345963576","doi":"10.1177/0265813515614678","title":"Shortening the trip to school: Examining how children’s active school travel is influenced by shortcuts","year":2015,"lang":"en","type":"article","venue":"Environment and Planning B Planning and Design","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University","funders":"","keywords":"Transport engineering; Travel behavior; Travel time; Physical activity; Psychology; Geography; Computer science; Engineering; Medicine","score_opus":0.06236293133766356,"score_gpt":0.2823131637023159,"score_spread":0.21995023236465233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2345963576","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9813728,0.0022080403,0.013490117,0.0007192144,0.000096116775,0.0005387642,0.000027738542,0.00007057272,0.0014766608],"genre_scores_gemma":[0.9966265,0.000046337755,0.0013089415,0.00065832096,0.00024637597,0.00003794946,0.000025662055,0.000019385063,0.001030509],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99799883,0.00020695286,0.00022756291,0.00055599323,0.00050623895,0.0005044214],"domain_scores_gemma":[0.9987234,0.00026440146,0.00010847284,0.00019600417,0.000017087805,0.00069064257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001362753,0.0002699524,0.0002811198,0.000083163526,0.00094635674,0.00037793312,0.00025365467,0.00016584562,0.000066945126],"category_scores_gemma":[0.00018118079,0.0002136432,0.00003355332,0.00014464259,0.00025945704,0.00046204936,0.000050610794,0.00038453628,0.000011433404],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015515673,0.00002101007,0.95260876,0.0000030474607,0.000050068582,0.000012455872,0.029700004,0.0004758792,0.0005379598,0.000005674842,0.014191094,0.002238915],"study_design_scores_gemma":[0.0007135648,0.0002456887,0.96902287,0.00012244229,0.000091042064,0.0000037957093,0.02155422,0.0002432866,0.000866402,0.00017263512,0.0064214454,0.0005425914],"about_ca_topic_score_codex":0.0003182713,"about_ca_topic_score_gemma":0.0000031810944,"teacher_disagreement_score":0.01641415,"about_ca_system_score_codex":0.00007724628,"about_ca_system_score_gemma":0.00010655618,"threshold_uncertainty_score":0.8712117},"labels":[],"label_agreement":null},{"id":"W2346089366","doi":"","title":"Evaluating a bicycle education program for children: Findings from Montreal, Canada.","year":2016,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cycling; Psychology; Suicide prevention; Medical education; Human factors and ergonomics; Injury prevention; Poison control; Descriptive statistics; Applied psychology; Medicine; Environmental health; Geography","score_opus":0.027163905465878824,"score_gpt":0.31398298873657815,"score_spread":0.2868190832706993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2346089366","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98796153,0.00011013819,8.9604634e-7,0.00038214025,0.0006193749,0.0019514139,0.0013337848,0.00024765838,0.007393056],"genre_scores_gemma":[0.995232,0.000016887507,0.0017800389,0.0002916076,0.00017297096,0.00057521113,0.00011104199,0.000044950983,0.001775276],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9970263,0.0002294422,0.0005034363,0.0007759051,0.0007428413,0.00072206283],"domain_scores_gemma":[0.9982267,0.00040893865,0.00022162095,0.00042220866,0.00034173802,0.00037880483],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0011731806,0.00027412127,0.00030035104,0.000079606485,0.0020079783,0.00010264574,0.0005981437,0.00020819508,0.00034406432],"category_scores_gemma":[0.0011498071,0.00022765888,0.00016099992,0.00038625218,0.0001508668,0.0009580484,0.00004834137,0.0002118909,0.00002472812],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006143038,0.00031466174,0.057649985,0.000014603562,0.000060093495,0.0000012622027,0.00003646355,9.592113e-7,0.004486982,0.0041452604,0.00006999242,0.9331583],"study_design_scores_gemma":[0.0017704774,0.000182639,0.8586835,0.00024179721,0.00018459857,6.5982994e-7,0.0003812481,0.00001267557,0.012060869,0.056015044,0.0695392,0.0009272798],"about_ca_topic_score_codex":0.7715036,"about_ca_topic_score_gemma":0.92872995,"teacher_disagreement_score":0.932231,"about_ca_system_score_codex":0.0010402547,"about_ca_system_score_gemma":0.000835037,"threshold_uncertainty_score":0.9992913},"labels":[],"label_agreement":null},{"id":"W2346116076","doi":"10.1177/0042098015608050","title":"Expanding cities and vehicle use in India: Differing impacts of built environment factors on scooter and car use in Mumbai","year":2015,"lang":"en","type":"article","venue":"Urban Studies","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Urban agglomeration; Land use; Diversity (politics); Transit-oriented development; Geography; Built environment; Business; Transport engineering; Car ownership; Econometric model; Environmental planning; Economic geography; Public transport; Economics; Engineering; Civil engineering","score_opus":0.09984655059779107,"score_gpt":0.315697427432371,"score_spread":0.21585087683457993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2346116076","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980072,0.0016686468,7.106894e-7,0.000034029854,0.000058823924,0.00015710208,0.000009325477,0.000010966683,0.000053236545],"genre_scores_gemma":[0.9994934,0.0003347168,0.000017135284,0.000016439024,0.000023308883,0.0000060459097,9.049768e-7,0.0000061724195,0.00010184773],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990979,0.00006847854,0.00020089863,0.00020577558,0.00019949254,0.00022749422],"domain_scores_gemma":[0.9995442,0.00021462559,0.0000552746,0.00009176298,0.00001337212,0.00008074172],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028616117,0.000117318785,0.0002723121,0.00010911817,0.00009511214,0.00004667784,0.0000546285,0.000045836623,0.0000024615513],"category_scores_gemma":[0.0001574315,0.0000960378,0.000019413836,0.000095741816,0.00040287458,0.00048531662,0.000060657097,0.00009554039,2.851903e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022808794,0.000033664914,0.92013884,0.000019170802,0.000014668925,0.000006190395,0.07950096,0.0000023558262,0.00011955341,0.000041190135,0.000015981639,0.0000846199],"study_design_scores_gemma":[0.00039765917,0.000055362798,0.9766294,0.000094192736,0.000008415701,3.4295436e-8,0.022067573,0.000001963844,0.00042867436,0.00017357021,0.00004242697,0.00010074543],"about_ca_topic_score_codex":0.006871651,"about_ca_topic_score_gemma":0.011787246,"teacher_disagreement_score":0.057433385,"about_ca_system_score_codex":0.00013412925,"about_ca_system_score_gemma":0.000016792872,"threshold_uncertainty_score":0.9997417},"labels":[],"label_agreement":null},{"id":"W2346917167","doi":"10.1002/atr.1383","title":"The influence of bus service satisfaction on university students' mode choice","year":2016,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":57,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Service (business); Public transport; Reliability (semiconductor); Level of service; Transport engineering; Mode (computer interface); Confirmatory factor analysis; Service quality; Key (lock); Mode choice; Engineering; Business; Computer science; Marketing; Computer security","score_opus":0.00998627959121953,"score_gpt":0.29861855708268675,"score_spread":0.28863227749146725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2346917167","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99835515,0.000023223445,0.0004370543,0.00081978645,0.00018349606,0.00009934365,0.000012235685,0.000008941234,0.0000607405],"genre_scores_gemma":[0.99938065,0.00030856757,0.00014357427,0.000027194965,0.000051353833,3.0123255e-7,7.664677e-7,0.0000036219512,0.000083985804],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989135,0.000060127604,0.00030323758,0.00008522236,0.00052394136,0.00011392783],"domain_scores_gemma":[0.9986657,0.00025067164,0.0004708329,0.00009014536,0.00046169534,0.00006094353],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032723654,0.00006136135,0.000114267554,0.000046832873,0.0002308629,0.00000996136,0.00024937585,0.000043624877,0.000011667811],"category_scores_gemma":[0.00004835335,0.000038597664,0.0000673016,0.0002430275,0.000098993085,0.0008801864,9.959689e-7,0.000090979695,0.0000010964353],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051128544,0.00006423389,0.9620358,0.000014358201,0.000029825305,0.0000046253836,0.004065663,0.011387678,0.008537749,0.000860949,0.000006195193,0.012481635],"study_design_scores_gemma":[0.0006765083,0.000065909466,0.99419117,0.00009061784,0.000031514075,6.853325e-8,0.0013270768,3.8639476e-7,0.00043045232,0.0007570183,0.0023800952,0.000049157054],"about_ca_topic_score_codex":0.00080772676,"about_ca_topic_score_gemma":0.025334531,"teacher_disagreement_score":0.032155395,"about_ca_system_score_codex":0.00009587993,"about_ca_system_score_gemma":0.00010506791,"threshold_uncertainty_score":0.9924506},"labels":[],"label_agreement":null},{"id":"W2355053673","doi":"10.1186/s12889-016-3055-4","title":"Socioeconomic and race/ethnic disparities in observed park quality","year":2016,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":100,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Heart, Lung, and Blood Institute","keywords":"Medicine; Ethnic group; Biostatistics; Socioeconomic status; Race (biology); Public health; Epidemiology; Environmental health; Health equity; Gerontology; Demography; Population; Gender studies; Pathology","score_opus":0.21083693972413375,"score_gpt":0.40568861715971827,"score_spread":0.1948516774355845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2355053673","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.956508,0.0008846474,0.0002179503,0.040824898,0.0001601178,0.00024555615,0.00002323006,0.00007176925,0.0010638528],"genre_scores_gemma":[0.9975401,0.00049619435,0.00015147933,0.0006828179,0.0001222476,0.000024220915,0.0000048879456,0.0000067494802,0.0009712881],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977189,0.0007091099,0.00047187327,0.00032020154,0.0001655976,0.00061436393],"domain_scores_gemma":[0.9988316,0.00043584962,0.00014756733,0.00020461957,0.00003278022,0.0003475526],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0057332716,0.00009377595,0.00027845148,0.00005530574,0.0002869965,0.00008071381,0.00021593313,0.00010113716,0.00024171521],"category_scores_gemma":[0.00032170358,0.000071246315,0.000049481147,0.00013121875,0.00041646083,0.0007063273,0.000027095522,0.000102793376,0.000021229302],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006107507,0.000045388435,0.97349286,0.00005063862,0.0000021176756,1.576995e-7,0.003063018,2.7541846e-8,0.0000020243126,0.011665409,0.00022906146,0.011443162],"study_design_scores_gemma":[0.0004110665,0.000011439984,0.9836235,0.000014451895,6.7181963e-7,3.081955e-8,0.0013803033,0.0000016485627,0.0000011719612,0.004895605,0.009556666,0.00010344359],"about_ca_topic_score_codex":0.02900318,"about_ca_topic_score_gemma":0.24359146,"teacher_disagreement_score":0.21458827,"about_ca_system_score_codex":0.0003807452,"about_ca_system_score_gemma":0.0015635878,"threshold_uncertainty_score":0.97746277},"labels":[],"label_agreement":null},{"id":"W2361342214","doi":"","title":"Canadian School Bus Standards, Policy and Management in the Era of Sustainable Development","year":2013,"lang":"en","type":"article","venue":"Comparative Education Review","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sustainable development; School bus; Policy development; Face (sociological concept); Order (exchange); Public administration; Business; Political science; Economic growth; Engineering; Economics; Sociology; Transport engineering; Finance; Social science","score_opus":0.03390894021428354,"score_gpt":0.38684267711122855,"score_spread":0.352933736896945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2361342214","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6363193,0.113029525,0.000025848654,0.030502902,0.00010289999,0.0049829534,0.000004427398,0.000010492082,0.21502168],"genre_scores_gemma":[0.9876881,0.008237081,0.00018652894,0.0013192102,0.00003561325,0.00029165717,0.0000073209185,0.0000015800314,0.0022328696],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991818,0.00015385103,0.00020802034,0.00010640887,0.00018248928,0.00016739743],"domain_scores_gemma":[0.99941725,0.00002737317,0.00006467742,0.00011353489,0.00027161953,0.00010557779],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080046005,0.00005710116,0.00014002286,0.000063144784,0.00019813674,0.00004811532,0.0001746125,0.000013952995,0.00055450224],"category_scores_gemma":[0.00006620027,0.000041157808,0.000014745954,0.0005130549,0.000081455015,0.00018339732,0.000008111562,0.000067482564,0.00001568513],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000042523434,0.000412806,0.3538891,0.0045219967,0.000056359444,0.000002543452,0.09190156,0.0000010144498,9.917153e-7,0.25514957,0.19022875,0.103831045],"study_design_scores_gemma":[0.000030739997,0.0000025974866,0.4449297,0.00031485755,0.0000058036235,3.527099e-8,0.014950789,1.1489911e-7,0.0000016729231,0.0009884806,0.5387318,0.000043432217],"about_ca_topic_score_codex":0.24766932,"about_ca_topic_score_gemma":0.19803558,"teacher_disagreement_score":0.35136887,"about_ca_system_score_codex":0.00046173722,"about_ca_system_score_gemma":0.0043344856,"threshold_uncertainty_score":0.8165982},"labels":[],"label_agreement":null},{"id":"W2367333916","doi":"","title":"Population Projection Plays an Important Role in Regional Planning","year":2007,"lang":"en","type":"article","venue":"Renkou xuekan","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Regional planning; Population; Government (linguistics); Population growth; Geography; China; Projections of population growth; Immigration; Urban planning; Economic growth; Regional science; Business; Environmental planning; Economics; Demography; Sociology; Engineering","score_opus":0.03978197578163924,"score_gpt":0.35345138224874734,"score_spread":0.3136694064671081,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2367333916","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9922846,0.000112729846,0.00008591291,0.00009283679,0.00012430281,0.00017384738,0.000001791575,0.00008557541,0.0070384177],"genre_scores_gemma":[0.9991588,0.0000047818544,0.00023070477,0.00003737266,0.00032942207,0.000004057544,0.000055348486,0.000006694182,0.00017281985],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988846,0.000050296218,0.00028624153,0.00022455149,0.00027990638,0.0002744154],"domain_scores_gemma":[0.9996508,0.000028638146,0.00009636052,0.00010774876,0.000027855562,0.00008862063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012996984,0.00007178708,0.00010012186,0.00012262679,0.00023374386,0.000038158174,0.000108492466,0.00010919482,0.000053556607],"category_scores_gemma":[0.00003116331,0.00007152031,0.00003513931,0.00032775986,0.00005056325,0.00049150543,0.0000048271604,0.000128741,0.000002400498],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004905182,0.000058576894,0.98975223,0.000003286449,0.0000016606277,0.000008747153,0.0050102537,0.000007992335,0.00034396004,0.0014585381,0.000018904051,0.0032867903],"study_design_scores_gemma":[0.00013526899,0.000027291933,0.99209094,0.000018474037,0.0000035008052,3.2955023e-7,0.0023176777,0.00011762377,0.00009661417,0.002680826,0.0024107592,0.00010072143],"about_ca_topic_score_codex":0.017182065,"about_ca_topic_score_gemma":0.07035584,"teacher_disagreement_score":0.053173777,"about_ca_system_score_codex":0.00013375684,"about_ca_system_score_gemma":0.00006829857,"threshold_uncertainty_score":0.9893626},"labels":[],"label_agreement":null},{"id":"W2372534677","doi":"","title":"A Methodology to Quantify Discontinuities in a Cycling Network – Case Study in Montréal Boroughs","year":2016,"lang":"en","type":"article","venue":"Transportation Research Board 95th Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cycling; Classification of discontinuities; Transport engineering; Discontinuity (linguistics); Geospatial analysis; Mode of transport; Computer science; Network planning and design; Mode (computer interface); Geography; Engineering; Cartography; Telecommunications; Mathematics; Public transport","score_opus":0.1990648074359234,"score_gpt":0.4873216650990293,"score_spread":0.28825685766310594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2372534677","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9871577,0.00027319707,0.0010465424,0.005248012,0.00028241737,0.004828848,0.00019187073,0.00019367479,0.00077772234],"genre_scores_gemma":[0.99360293,0.00024984288,0.0031044516,0.00007553971,0.00038236502,0.0013598871,0.000041264862,0.000087296175,0.0010964053],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98020333,0.007904455,0.0022853028,0.0018839543,0.0042181187,0.0035048493],"domain_scores_gemma":[0.99015886,0.005812073,0.00022117789,0.0007418605,0.0020856888,0.0009803469],"candidate_categories":["metaresearch","metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.033487618,0.0004904664,0.0010084504,0.0023198074,0.0013934509,0.0002391318,0.001066196,0.00046911248,0.00036615168],"category_scores_gemma":[0.002003755,0.00042895845,0.00023647968,0.006034679,0.0013392501,0.0015629899,0.000028563996,0.0018323652,0.000074713724],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014677802,0.0007050717,0.8485891,0.000086967375,0.000038514827,0.0054884134,0.1334593,0.00054271513,0.00030009422,0.0028067527,0.00040436952,0.0061109285],"study_design_scores_gemma":[0.0024147276,0.0005690769,0.7913376,0.00037639693,0.000019188217,7.025267e-7,0.19916995,0.00001682611,0.00008474869,0.0026811622,0.0028569705,0.00047265994],"about_ca_topic_score_codex":0.54922354,"about_ca_topic_score_gemma":0.9655807,"teacher_disagreement_score":0.41635716,"about_ca_system_score_codex":0.000638757,"about_ca_system_score_gemma":0.0011418667,"threshold_uncertainty_score":0.9999066},"labels":[],"label_agreement":null},{"id":"W2374809003","doi":"","title":"SPATIAL ACCESSIBILITY OF LARGE GENERAL HOSPITALS IN CHANGCHUN CITY CENTER BASED ON STREET NETWORK CENTRALITY","year":2014,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Science North","funders":"","keywords":"Betweenness centrality; Centrality; Closeness; Street network; Square (algebra); Center (category theory); Transport engineering; Common spatial pattern; Statistics; Perspective (graphical); Computer science; Geography; Mathematics; Artificial intelligence; Geometry","score_opus":0.018438564570683446,"score_gpt":0.3028309516865276,"score_spread":0.2843923871158442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2374809003","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9784984,0.000008669492,0.0021757535,0.00046671138,0.00038715627,0.00039355023,0.00006687987,0.000059965114,0.017942926],"genre_scores_gemma":[0.99854016,0.000002898001,0.00030280865,0.0005140611,0.0004530377,0.000009663559,0.00004841034,0.000007755087,0.00012118528],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973653,0.00047525394,0.00049215887,0.00047895516,0.00051263924,0.00067568914],"domain_scores_gemma":[0.9990282,0.00012302051,0.0001672969,0.0004307358,0.000081003185,0.00016971208],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002457592,0.00016787487,0.00035425703,0.000046898997,0.00018278224,0.000040286814,0.00043988397,0.0001642816,0.0016916423],"category_scores_gemma":[0.00013782954,0.00014401719,0.00015361383,0.0003582317,0.00021240173,0.00024792066,0.00003775824,0.00017517827,0.0000039431648],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006440736,0.00051630475,0.99603015,0.000020514306,0.000003906931,7.858083e-7,0.0002871046,0.000045750974,0.0000045408387,0.001606759,0.00021991308,0.0011998583],"study_design_scores_gemma":[0.0008377954,0.00005224498,0.9943452,0.00002556834,0.000006052954,2.5074942e-9,0.00006462837,0.0018362447,0.0002980837,0.0015205316,0.0008498427,0.00016378789],"about_ca_topic_score_codex":0.017330585,"about_ca_topic_score_gemma":0.12939894,"teacher_disagreement_score":0.112068355,"about_ca_system_score_codex":0.00010050452,"about_ca_system_score_gemma":0.00010733044,"threshold_uncertainty_score":0.99922097},"labels":[],"label_agreement":null},{"id":"W2380299913","doi":"10.1088/1755-1315/34/1/012022","title":"Aggregation and spatial analysis of walking activity in an urban area: results from the Halifax space-time activity survey","year":2016,"lang":"en","type":"article","venue":"IOP Conference Series Earth and Environmental Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Geography; TRIPS architecture; Estimator; Census; Statistics; Population; Global Positioning System; Transport engineering; Multivariate statistics; Cartography; Computer science; Demography; Mathematics; Engineering","score_opus":0.024254805902338774,"score_gpt":0.24492151497463768,"score_spread":0.2206667090722989,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2380299913","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99862987,0.00002040057,0.00008051015,0.00032734137,0.00003430116,0.00013429474,0.0005114153,0.000009745896,0.00025210762],"genre_scores_gemma":[0.99971783,0.00011443158,0.000025171857,0.000008567524,0.00001818515,0.000002246788,0.000020545856,0.0000022510785,0.00009075866],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984408,0.00026171652,0.00016086828,0.00046522653,0.000409127,0.00026226623],"domain_scores_gemma":[0.9991802,0.00027861277,0.0001488898,0.00023703574,0.000017086226,0.00013817122],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0013814219,0.00011174466,0.00020791838,0.0000678836,0.00043827915,0.00011384941,0.00024316754,0.000057952853,0.00013922603],"category_scores_gemma":[0.000171622,0.000072440045,0.000027393304,0.00044673556,0.0030111636,0.0014695663,0.000058808244,0.00007259572,0.0000011169961],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016139554,0.000039633833,0.8396977,6.7808054e-7,0.000008944092,6.5769166e-7,0.0035510268,0.0000018930424,0.09798615,0.000017682229,5.167812e-7,0.058533683],"study_design_scores_gemma":[0.0002070643,0.00004620462,0.97470856,0.0000142581075,0.000025494586,4.358957e-8,0.00049268664,0.00035461385,0.023948502,0.00006965466,0.000026693395,0.00010624826],"about_ca_topic_score_codex":0.06064025,"about_ca_topic_score_gemma":0.29073498,"teacher_disagreement_score":0.23009472,"about_ca_system_score_codex":0.000041126634,"about_ca_system_score_gemma":0.000089731715,"threshold_uncertainty_score":0.9997021},"labels":[],"label_agreement":null},{"id":"W2387659971","doi":"10.1016/j.tra.2016.04.008","title":"Scheduling decision styles on leisure and social activities","year":2016,"lang":"en","type":"article","venue":"Transportation Research Part A Policy and Practice","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Multivariate probit model; Scheduling (production processes); Bivariate analysis; Empirical research; Computer science; Leisure activity; Ordered probit; Travel behavior; Operations research; Psychology; Engineering; Social psychology; Operations management; Mathematics; Statistics; Transport engineering; Machine learning","score_opus":0.15509432205602267,"score_gpt":0.4885698827725487,"score_spread":0.33347556071652606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2387659971","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9584288,0.00012764214,0.00031047364,0.031652782,0.00003742037,0.0002505275,0.000058521695,0.000048355603,0.009085472],"genre_scores_gemma":[0.99703205,0.0009748774,0.0003001793,0.0001956461,0.0004857358,0.000023834533,0.000006510461,0.000009600132,0.0009715717],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.997802,0.0005787995,0.0001956669,0.00030060174,0.0007290706,0.00039384968],"domain_scores_gemma":[0.9942278,0.0052788453,0.00007241857,0.00009488076,0.00017944103,0.00014655829],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0030677014,0.000097662516,0.00013789383,0.00016857352,0.0013324639,0.00014306667,0.00010489971,0.00012715778,0.00012369003],"category_scores_gemma":[0.0011799841,0.00007276696,0.000033354994,0.00030128134,0.0007608648,0.001290371,0.0000047956714,0.00024371197,0.00001209577],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0033632696,0.00036643984,0.12179744,0.00012634235,0.0000822106,0.00003857887,0.058891855,0.0000031340878,0.0016087586,0.60284376,0.0011840013,0.20969419],"study_design_scores_gemma":[0.0011956253,0.00018399728,0.35888603,0.00014515899,0.000035921712,5.3324874e-7,0.019028775,0.0000029785976,0.0003977308,0.012678071,0.60717195,0.0002731968],"about_ca_topic_score_codex":0.0037284212,"about_ca_topic_score_gemma":0.0066798828,"teacher_disagreement_score":0.60598797,"about_ca_system_score_codex":0.00004664452,"about_ca_system_score_gemma":0.00030199697,"threshold_uncertainty_score":0.9999677},"labels":[],"label_agreement":null},{"id":"W2394549458","doi":"10.14288/1.0088415","title":"The effects of land use, transportation infrastructure and housing affordability on growth management in the GVRD: a study of household travel behaviour and location decisions","year":2009,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Growth management; Business; Land use; Environmental planning; Transport engineering; Transport infrastructure; Travel behavior; Environmental economics; Public economics; Economics; Civil engineering; Geography; Engineering","score_opus":0.01079135957728366,"score_gpt":0.21049128763187047,"score_spread":0.1996999280545868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2394549458","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991081,0.00004260399,0.000053048607,0.000046837748,0.000020574875,0.0006494796,0.0000222844,0.0000063536663,0.00005075051],"genre_scores_gemma":[0.99979687,0.0001309165,0.000047669022,0.000008504538,0.000003937449,5.227418e-7,0.000003097964,0.0000020428663,0.0000064678675],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99925417,0.000109143475,0.00012450748,0.00016861287,0.00025026716,0.00009333058],"domain_scores_gemma":[0.9994889,0.00017563792,0.00010266322,0.00012595316,0.000078982615,0.000027896682],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038192506,0.000029990046,0.00013181925,0.000028942626,0.00031127964,0.000047577778,0.00015834271,0.000046471578,7.783405e-7],"category_scores_gemma":[0.00003671871,0.0000523846,0.00002412832,0.00034114602,0.0002625535,0.00021176145,0.000006075344,0.00007611252,1.0985248e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024034844,0.00028354238,0.90402025,0.00003509629,0.000008231954,0.000009572297,0.007865832,0.000004540317,0.0000073868277,0.000015011293,0.000011772933,0.087714724],"study_design_scores_gemma":[0.00074917724,0.00016749161,0.9786782,0.00008513911,0.000061656974,1.5932885e-7,0.01916946,0.0000039704523,6.4044815e-7,0.0010364954,0.000001142681,0.000046428602],"about_ca_topic_score_codex":0.10118597,"about_ca_topic_score_gemma":0.7037791,"teacher_disagreement_score":0.6025931,"about_ca_system_score_codex":0.000020085668,"about_ca_system_score_gemma":0.00002258676,"threshold_uncertainty_score":0.9047993},"labels":[],"label_agreement":null},{"id":"W2396544189","doi":"10.3141/2500-02","title":"Cycling to High School in Toronto, Ontario, Canada","year":2015,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Engineers Without Borders Canada; York University; University of Toronto","funders":"","keywords":"Cycling; Downtown; Immigration; Demography; Psychology; Geography; Control (management); Population; Social psychology; Demographic economics; Sociology","score_opus":0.10547082254331351,"score_gpt":0.4142964751198552,"score_spread":0.30882565257654165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2396544189","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98853034,0.00018605868,0.00013714905,0.006530945,0.0010896779,0.0010701619,0.000033291057,0.000018044999,0.002404324],"genre_scores_gemma":[0.9954958,0.00011905043,0.0009905045,0.00013502613,0.0003233003,0.000053563297,0.000011153943,0.00003157446,0.002840058],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9892809,0.0014741749,0.0014784755,0.00044811922,0.0060916157,0.0012267357],"domain_scores_gemma":[0.99331546,0.00063768664,0.00029156866,0.00044075263,0.00388072,0.0014337915],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.009086625,0.0002173294,0.0004760958,0.00048391803,0.00069066824,0.00017656363,0.0016042168,0.0001929419,0.0018740101],"category_scores_gemma":[0.0006039756,0.00017907156,0.00020273538,0.0021246448,0.00043965917,0.0011737306,0.000007260108,0.0021235968,0.000015695607],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.00090800645,0.00015710661,0.97101593,0.00003562794,0.00003597186,0.00014502101,0.0131216785,0.00066088274,0.00012189505,0.0014888463,0.011019161,0.001289901],"study_design_scores_gemma":[0.0011094598,0.0002016491,0.9394216,0.00019646809,0.000016718759,3.5001108e-8,0.015993332,0.000004716558,0.00014460822,0.0023459943,0.040381875,0.0001835203],"about_ca_topic_score_codex":0.99940306,"about_ca_topic_score_gemma":0.999989,"teacher_disagreement_score":0.03159428,"about_ca_system_score_codex":0.0064035202,"about_ca_system_score_gemma":0.014563884,"threshold_uncertainty_score":0.9990384},"labels":[],"label_agreement":null},{"id":"W2398821347","doi":"10.3390/geriatrics4010011","title":"How Well Do Seniors Estimate Distance to Food? The Accuracy of Older Adults’ Reported Proximity to Local Grocery Stores","year":2019,"lang":"en","type":"article","venue":"Geriatrics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Heart, Lung, and Blood Institute","keywords":"Walkability; Medicine; Psychological intervention; Observational study; Categorical variable; Body mass index; Level design; Gerontology; Random effects model; Demography; Environmental health; Statistics; Physical activity; Meta-analysis","score_opus":0.013565551498817571,"score_gpt":0.2725829632886756,"score_spread":0.25901741178985804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2398821347","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9882021,0.0001614837,0.006506168,0.00214974,0.000625776,0.0012078413,0.000036749476,0.0000753681,0.0010347989],"genre_scores_gemma":[0.9983005,0.000012557837,0.00063323317,0.00012540039,0.0001778036,0.00002505078,0.0000065691747,0.000014514323,0.00070437655],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981164,0.00007919939,0.0003550718,0.00044374622,0.00060345733,0.00040213595],"domain_scores_gemma":[0.99853015,0.0001892591,0.00027541007,0.000551821,0.0002619742,0.00019141177],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074453314,0.0001577208,0.0002617846,0.000061165796,0.0002339248,0.00014061516,0.00053666707,0.00010913312,0.00009895215],"category_scores_gemma":[0.00046135567,0.000114286,0.00011225356,0.00100644,0.00014639992,0.00039006877,0.000068128145,0.0001488357,0.000028222616],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032045416,0.00022371845,0.95474964,0.0002868996,0.00004135949,0.000010911158,0.026101742,0.0001650532,0.0001091941,0.0012653398,0.003484037,0.01324163],"study_design_scores_gemma":[0.0006720264,0.00020119817,0.9403418,0.00010950874,0.00008537982,7.31186e-7,0.011432782,0.00009009152,0.0012137035,0.0010622994,0.04420961,0.0005809144],"about_ca_topic_score_codex":0.0009866457,"about_ca_topic_score_gemma":0.002780071,"teacher_disagreement_score":0.040725574,"about_ca_system_score_codex":0.00008887733,"about_ca_system_score_gemma":0.00020992846,"threshold_uncertainty_score":0.46604478},"labels":[],"label_agreement":null},{"id":"W2399099628","doi":"10.1016/j.iatssr.2016.05.004","title":"Beyond “Peak Car”: A reflection on the evolution of public sentiment about the role of cars in cities","year":2016,"lang":"en","type":"article","venue":"IATSS Research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Subculture (biology); Public transport; Service (business); Gentrification; Sociology; Advertising; Political economy; Business; Transport engineering; Marketing; Economics; Engineering; Economic growth","score_opus":0.10604943516903534,"score_gpt":0.40570878015200795,"score_spread":0.29965934498297264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2399099628","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94492054,0.0004609493,0.000010467935,0.003735819,0.000063146144,0.0003048071,0.000010042621,0.000007944931,0.0504863],"genre_scores_gemma":[0.9985432,0.0000643047,0.0000030770177,0.000006040368,0.000073825766,0.00003667487,6.504921e-7,0.0000038096116,0.0012684135],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974671,0.00090267765,0.00020054224,0.00015146211,0.0009638861,0.0003143315],"domain_scores_gemma":[0.9988658,0.00048660795,0.000059626753,0.0002577412,0.000293358,0.000036890462],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0051529566,0.000047173635,0.0000909798,0.00014795984,0.00032967416,0.000031296866,0.00038404515,0.000059625407,0.0001844594],"category_scores_gemma":[0.000314713,0.00002265369,0.000055210105,0.00072852615,0.00089451234,0.00015513459,0.000037635513,0.00017198324,0.00000787763],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059903043,0.00015534184,0.8515296,0.000013860299,0.000019508841,5.167294e-7,0.015156225,0.0000018383789,0.015021427,0.10288824,0.0003283883,0.014825157],"study_design_scores_gemma":[0.00026564277,0.00010768878,0.86944044,0.00008080901,0.000004887427,5.2241287e-8,0.03245949,0.000020243107,0.014275152,0.07768486,0.0055918274,0.0000689447],"about_ca_topic_score_codex":0.024244184,"about_ca_topic_score_gemma":0.031449065,"teacher_disagreement_score":0.053622678,"about_ca_system_score_codex":0.00039602382,"about_ca_system_score_gemma":0.00036186396,"threshold_uncertainty_score":0.9862245},"labels":[],"label_agreement":null},{"id":"W2400708766","doi":"10.1001/jama.2016.5898","title":"Association of Neighborhood Walkability With Change in Overweight, Obesity, and Diabetes","year":2016,"lang":"en","type":"article","venue":"JAMA","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":373,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ottawa Hospital; Institute for Clinical Evaluative Sciences; University of Toronto; Public Health Ontario; St. Michael's Hospital","funders":"Canadian Institutes of Health Research; University of Toronto","keywords":"Walkability; Overweight; Medicine; Obesity; Demography; Environmental health; Body mass index; Gerontology; Physical activity; Internal medicine; Physical therapy","score_opus":0.012879070610537943,"score_gpt":0.2542217716763235,"score_spread":0.24134270106578554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2400708766","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99277866,0.00006299629,0.0000049219675,0.0035824503,0.000037860882,0.00016510383,0.000014521003,0.000017074,0.0033364298],"genre_scores_gemma":[0.9995749,0.000030037605,0.000024985377,0.000055635184,0.00010252695,0.000010407058,9.519461e-7,0.000002903899,0.00019767163],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992405,0.00008517614,0.00012525759,0.000150937,0.00022183672,0.00017627749],"domain_scores_gemma":[0.99951607,0.00018428783,0.00009267539,0.000092318645,0.000070056994,0.000044565422],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070242403,0.000052316085,0.00012992485,0.000028675595,0.00005324391,0.00001865368,0.00008319764,0.00008745283,0.00012903767],"category_scores_gemma":[0.00015205622,0.000032849264,0.000019952236,0.00016206475,0.00010925099,0.0004910791,0.000013735067,0.000045777215,0.0000017634032],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009399806,0.000076070944,0.98631305,0.000014821589,0.0000055851524,3.13299e-7,0.0017019951,3.678279e-9,0.000096180025,0.00064371096,0.000022316704,0.011116559],"study_design_scores_gemma":[0.00046451623,0.000029854065,0.9947123,0.000038796385,0.000008030957,3.9948445e-9,0.00007026483,0.000001950064,0.00040925428,0.0038272813,0.00038061317,0.000057158275],"about_ca_topic_score_codex":0.0016384103,"about_ca_topic_score_gemma":0.016861005,"teacher_disagreement_score":0.015222594,"about_ca_system_score_codex":0.00010333459,"about_ca_system_score_gemma":0.000037040594,"threshold_uncertainty_score":0.94088364},"labels":[],"label_agreement":null},{"id":"W2404227874","doi":"10.1136/bmjopen-2016-011196","title":"Built Environment and Active Transport to School (BEATS) Study: protocol for a cross-sectional study","year":2016,"lang":"en","type":"article","venue":"BMJ Open","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":61,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; McGill University","funders":"University of Otago","keywords":"Medicine; Cross-sectional study; Protocol (science); Public health; Medical education; Family medicine; Alternative medicine; Nursing; Pathology","score_opus":0.1417668979375273,"score_gpt":0.4881600678152289,"score_spread":0.34639316987770163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2404227874","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.565082,1.3757683e-7,0.00013252841,0.00022079535,0.000028701443,0.43322068,0.00003351594,0.000015185556,0.0012664472],"genre_scores_gemma":[0.5421822,3.6098143e-8,0.00009083126,0.000032114927,0.000105998646,0.45465878,7.864578e-7,0.0000067133583,0.0029225543],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99833536,0.00010329804,0.0003252951,0.0005282534,0.00045295883,0.00025484315],"domain_scores_gemma":[0.999297,0.000070600596,0.00008652462,0.00027392348,0.000054022545,0.00021791297],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0017771331,0.00012467243,0.00020171895,0.00003249989,0.00055075536,0.00017969258,0.00052630826,0.000053292482,0.0012853603],"category_scores_gemma":[0.00006912974,0.00008492861,0.000047438247,0.000086826425,0.00012076091,0.0006262673,0.0000882759,0.00005332141,0.00003912021],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014626526,0.0009736621,0.99165833,0.000008955088,0.000035585803,0.0000035658923,0.0040817773,7.4769434e-7,0.00004293878,0.00001905814,0.000104475715,0.0016082316],"study_design_scores_gemma":[0.0036721383,0.0006189764,0.9802351,0.000015149765,0.000012528476,8.104544e-8,0.0019860466,1.6196738e-7,0.000051452724,0.0003760183,0.012870076,0.00016227324],"about_ca_topic_score_codex":0.0042831264,"about_ca_topic_score_gemma":0.015578028,"teacher_disagreement_score":0.022899825,"about_ca_system_score_codex":0.0001315972,"about_ca_system_score_gemma":0.00024246477,"threshold_uncertainty_score":0.9996276},"labels":[],"label_agreement":null},{"id":"W2405759093","doi":"10.1177/0013916515623823","title":"The Relation of Perceived and Objective Environment Attributes to Neighborhood Satisfaction","year":2016,"lang":"en","type":"article","venue":"Environment and Behavior","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":204,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Walkability; Destinations; Psychology; Scale (ratio); Level design; Built environment; Diversity (politics); Pedestrian; Environmental health; Geography; Social psychology; Applied psychology; Transport engineering; Medicine; Computer science; Engineering; Tourism","score_opus":0.014836742528550911,"score_gpt":0.24743852873266375,"score_spread":0.23260178620411284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2405759093","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99833006,0.00014947548,0.00022735026,0.0007915819,0.00004007765,0.0003096119,0.000013289051,0.000008059654,0.0001305045],"genre_scores_gemma":[0.9986758,0.000638708,0.00007582818,0.000009635206,0.000032165684,0.000034660134,0.0000014484605,0.0000039385377,0.0005277738],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99933255,0.000051911244,0.00012995698,0.00017449657,0.00018489183,0.00012621727],"domain_scores_gemma":[0.99969274,0.00008303673,0.000053269992,0.000097075674,0.0000035747216,0.00007032511],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020967575,0.00006736575,0.00007534152,0.0000148034715,0.00034569547,0.000016145492,0.000043618675,0.000048400445,0.0002034375],"category_scores_gemma":[0.000011289595,0.000040136736,0.000022446555,0.000021318247,0.00028871093,0.00014853083,0.000022290978,0.00003517046,0.000010795529],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011689677,0.000030059497,0.92656666,8.8360946e-7,0.0000034673355,2.4225994e-7,0.001461163,2.427427e-7,0.014413145,0.00014239927,0.0000067778683,0.057363268],"study_design_scores_gemma":[0.00016634354,0.000058685375,0.99695766,0.0000062576537,0.000044730605,6.87265e-8,0.0005913758,3.9183828e-7,0.00047547868,0.00023858887,0.0013952019,0.00006519547],"about_ca_topic_score_codex":0.00022071046,"about_ca_topic_score_gemma":0.00019449914,"teacher_disagreement_score":0.07039102,"about_ca_system_score_codex":0.00007091158,"about_ca_system_score_gemma":0.0000068177224,"threshold_uncertainty_score":0.26588452},"labels":[],"label_agreement":null},{"id":"W2409949611","doi":"10.71781/697","title":"Assessing inequities in active transportation : does the effect of walkable built environments vary according to neighbourhood socioeconomic status?","year":2015,"lang":"en","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Université de Montréal","keywords":"Socioeconomic status; Neighbourhood (mathematics); Geography; Transport engineering; Economic geography; Environmental planning; Engineering; Sociology; Demography; Mathematics; Population","score_opus":0.008099292339383975,"score_gpt":0.2379331005807742,"score_spread":0.22983380824139021,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2409949611","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98345786,0.0011319554,0.000018388564,0.00011036713,0.00063415756,0.0005790007,0.00007692923,0.000029177489,0.01396215],"genre_scores_gemma":[0.9957624,0.00010920687,0.00003943904,0.00001532056,0.00011674635,0.000035931633,0.00035957585,0.000017557659,0.003543828],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979909,0.00024176261,0.00040332286,0.00041240308,0.0005557798,0.0003958542],"domain_scores_gemma":[0.99894005,0.00018654997,0.00041436747,0.0002096748,0.00006648199,0.0001828578],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.000558244,0.0002650526,0.0004259541,0.00021220342,0.0027025258,0.000079078105,0.0003941186,0.0002935107,0.000058146175],"category_scores_gemma":[0.000047332505,0.00022202377,0.00018324674,0.00019229029,0.00026887437,0.0010868306,0.00002271544,0.00033213705,0.000006903746],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012617492,0.00010110968,0.7778141,0.00017122009,0.00019123204,0.00010672729,0.20023488,0.0013627976,0.00488093,0.0008063141,0.000034793502,0.013034184],"study_design_scores_gemma":[0.00067245547,0.00007216478,0.772113,0.0001657072,0.00018279626,6.2940245e-7,0.2162956,0.000022961493,0.008216339,0.0005960892,0.0013713319,0.00029087494],"about_ca_topic_score_codex":0.14869608,"about_ca_topic_score_gemma":0.17459875,"teacher_disagreement_score":0.025902681,"about_ca_system_score_codex":0.0049531707,"about_ca_system_score_gemma":0.0015978607,"threshold_uncertainty_score":0.9988666},"labels":[],"label_agreement":null},{"id":"W2410613604","doi":"10.3138/jcfs.44.6.765","title":"Long Distance Commuting and Couple Satisfaction in Israel and United States: An Exploratory Study","year":2013,"lang":"en","type":"article","venue":"Journal of Comparative Family Studies","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Psychological resilience; Psychology; Social psychology; Demographic economics; Exploratory research; Sociology; Economics","score_opus":0.11533695834080641,"score_gpt":0.39066202302138114,"score_spread":0.2753250646805747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2410613604","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99491435,0.004394133,0.000106724125,0.00013606164,0.0000988669,0.00027078815,0.0000021981489,0.000008825867,0.00006802321],"genre_scores_gemma":[0.99898237,0.00081368827,0.00006720264,0.000066274515,0.00004537398,0.00000739533,8.144717e-7,0.000003395991,0.000013466853],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99872565,0.00035322717,0.00040659728,0.00011951582,0.00024605627,0.0001489299],"domain_scores_gemma":[0.9988317,0.00027815683,0.000276921,0.00006268659,0.00047163593,0.00007889163],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008708087,0.00010723977,0.00037332636,0.00011480236,0.000395209,0.00008855011,0.000082127786,0.000022163005,0.0000030996175],"category_scores_gemma":[0.00004006286,0.00008383082,0.000018021537,0.00026314834,0.0004110645,0.0010958603,0.000024417019,0.00019507002,5.815627e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030934112,0.000108291184,0.857414,0.0000090607555,0.00005307325,0.0000058797445,0.14177959,0.00002969044,0.000026029209,0.000045133518,0.00009713886,0.00040119258],"study_design_scores_gemma":[0.00031903273,0.00012996407,0.5583502,0.000034425386,0.000011660295,1.3081929e-7,0.44066665,0.00007253897,0.0000036808106,0.000324844,0.000035236204,0.000051623396],"about_ca_topic_score_codex":0.0040463284,"about_ca_topic_score_gemma":0.06781355,"teacher_disagreement_score":0.29906377,"about_ca_system_score_codex":0.00008209596,"about_ca_system_score_gemma":0.000037109094,"threshold_uncertainty_score":0.9491964},"labels":[],"label_agreement":null},{"id":"W2410967413","doi":"10.7202/1035938ar","title":"La circulation inter-files : pratique pour les deux-roues, mais qu’en pensent les automobilistes? Analyse comparée de discours d’automobilistes sur ce comportement typique des usagers en deux-roues motorisé","year":2016,"lang":"fr","type":"article","venue":"Nouvelles perspectives en sciences sociales","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Art","score_opus":0.050684404293719405,"score_gpt":0.3564844525565373,"score_spread":0.3058000482628179,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2410967413","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96632737,0.0111659365,0.005627239,0.009183239,0.0006168237,0.0012049456,0.00026769316,0.00035154034,0.005255218],"genre_scores_gemma":[0.9864789,0.004606219,0.0058537903,0.000053742162,0.0010858183,0.00013055681,0.000023670289,0.0000717602,0.0016955333],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9876853,0.0058969627,0.001421795,0.0019516373,0.0014935248,0.0015507326],"domain_scores_gemma":[0.9911245,0.0060088993,0.0010606362,0.00058625406,0.00072135695,0.00049836445],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.007647695,0.0009718988,0.0011970479,0.0003745326,0.0030106734,0.0007263228,0.001907518,0.0008281363,0.0012275863],"category_scores_gemma":[0.0015927141,0.00078445463,0.0007782784,0.0014794552,0.016923929,0.0022046268,0.00030485168,0.000700519,0.00003674029],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060070717,0.0012553828,0.7004203,0.00019855466,0.00030194662,0.000040766412,0.25943,0.00021183117,0.0029219247,0.025009288,0.0005186087,0.009631314],"study_design_scores_gemma":[0.0006192745,0.00020780391,0.45510074,0.00075808656,0.00028462324,0.000011329057,0.53123647,0.00069101615,0.00078101916,0.0076823654,0.0016566929,0.0009705939],"about_ca_topic_score_codex":0.033895172,"about_ca_topic_score_gemma":0.07545955,"teacher_disagreement_score":0.27180648,"about_ca_system_score_codex":0.0052845962,"about_ca_system_score_gemma":0.0052246787,"threshold_uncertainty_score":0.9996854},"labels":[],"label_agreement":null},{"id":"W2411373889","doi":"","title":"Active travel and adults' health: The 2007-to-2011 Canadian Health Measures Surveys.","year":2016,"lang":"en","type":"article","venue":"PubMed","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia; Children's Hospital of Eastern Ontario","funders":"","keywords":"Cycling; Waist; Medicine; National Health and Nutrition Examination Survey; Aerobic exercise; Physical fitness; Gerontology; Physical therapy; Demography; Physical activity; Body mass index; Environmental health; Population","score_opus":0.04867049742287052,"score_gpt":0.2768610841587897,"score_spread":0.22819058673591916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2411373889","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.60544163,0.0028960353,0.00062324747,0.37134525,0.0011560507,0.0046282085,0.0006538119,0.00011252219,0.013143221],"genre_scores_gemma":[0.9957525,0.00017819718,0.00001286514,0.002473922,0.00021115172,0.00021560754,0.000003110184,0.000007903468,0.0011447193],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9978712,0.00056870095,0.0001915625,0.00028060458,0.00027962375,0.0008083161],"domain_scores_gemma":[0.9984989,0.00013327955,0.000076363685,0.00017520384,0.000074027324,0.0010422177],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042931065,0.00009416485,0.00017008923,0.000059644233,0.0007503102,0.00004650134,0.00026064998,0.000052939085,0.000101928636],"category_scores_gemma":[0.00014726844,0.00005453714,0.00003470691,0.00015798812,0.00024294465,0.00017682329,0.000009397435,0.00008687434,0.00001792191],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016654247,0.000014749135,0.13395028,0.0000054244706,0.0000091280335,5.2661534e-7,0.009408455,2.1102514e-8,1.587225e-7,0.0002316304,0.006678319,0.84968466],"study_design_scores_gemma":[0.00016902658,0.000011560026,0.9584927,0.000008444991,0.0000018536931,7.233491e-8,0.000808262,5.6130204e-8,0.0000061776377,0.00026241073,0.040160965,0.00007848971],"about_ca_topic_score_codex":0.8667913,"about_ca_topic_score_gemma":0.9829992,"teacher_disagreement_score":0.84960616,"about_ca_system_score_codex":0.00036620803,"about_ca_system_score_gemma":0.00096018973,"threshold_uncertainty_score":0.5770855},"labels":[],"label_agreement":null},{"id":"W2416877099","doi":"10.1016/j.healthplace.2016.05.004","title":"Residential buffer, perceived neighborhood, and individual activity space: New refinements in the definition of exposure areas – The RECORD Cohort Study","year":2016,"lang":"en","type":"article","venue":"Health & Place","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":90,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"Canadian Institutes of Health Research; École des Hautes Études en Santé Publique; Institut National de Prévention et d'Éducation pour la Santé","keywords":"Residence; Geography; Space (punctuation); Environmental health; Level design; Destinations; Demography; Computer science; Medicine; Sociology","score_opus":0.05475079637310937,"score_gpt":0.33112602131527064,"score_spread":0.27637522494216127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2416877099","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98642784,0.00014617159,0.000030934618,0.010971821,0.00015172831,0.0011364344,0.000020875492,0.00001743907,0.001096757],"genre_scores_gemma":[0.9991026,0.00024899936,0.000033106913,0.00022525471,0.00013416777,0.000030770192,0.0000037467182,0.0000056289387,0.00021570727],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975494,0.0009956238,0.0002923583,0.00027880433,0.00058890035,0.0002949196],"domain_scores_gemma":[0.9989211,0.00045970854,0.00021548173,0.00026570878,0.000040371426,0.00009760676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030796928,0.000106005646,0.00020897384,0.00004011725,0.00044616032,0.000047993577,0.00028881204,0.00006738901,0.00010983568],"category_scores_gemma":[0.00018500695,0.000056387067,0.000032843283,0.00023267636,0.00016691128,0.00023518542,0.000029777562,0.00017258016,0.0000031038114],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014541746,0.00019043383,0.97364885,0.000013142875,0.000011252599,0.0000016549869,0.019076359,5.748951e-8,0.000016883967,0.00020751223,0.0012903069,0.005398128],"study_design_scores_gemma":[0.0009052642,0.000200387,0.9916368,0.0000431697,0.000022645103,2.2660524e-7,0.005520624,3.0205555e-7,0.000002744588,0.0010357096,0.0005656242,0.00006647483],"about_ca_topic_score_codex":0.05107496,"about_ca_topic_score_gemma":0.19102585,"teacher_disagreement_score":0.1399509,"about_ca_system_score_codex":0.000087558365,"about_ca_system_score_gemma":0.00052203785,"threshold_uncertainty_score":0.955244},"labels":[],"label_agreement":null},{"id":"W2422407439","doi":"","title":"Associations between neighbourhood walkability, active school transport and physical activity levels in primary and secondary school students: A pilot-study","year":2013,"lang":"en","type":"article","venue":"uO Research (University of Ottawa)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Walkability; Pedometer; Logistic regression; Odds; Medicine; Neighbourhood (mathematics); Demography; Physical activity; Proxy (statistics); Gerontology; Environmental health; Physical therapy","score_opus":0.06850536285508682,"score_gpt":0.3553575290628536,"score_spread":0.28685216620776677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2422407439","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98225623,0.000008034227,0.000012819965,0.00093700323,0.000013365333,0.0014316969,0.0001875785,0.0000321621,0.01512113],"genre_scores_gemma":[0.9990003,0.000015836453,0.000052541855,0.0000077300765,0.000054273925,0.0000042173688,0.000010633936,0.000008065966,0.0008463999],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971177,0.0005799474,0.0001533102,0.0005262693,0.0011354086,0.00048736305],"domain_scores_gemma":[0.99840635,0.00050295016,0.00009959644,0.00021444062,0.00033403435,0.0004426012],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002060924,0.00013537744,0.00042939108,0.00028030155,0.00083837274,0.000087767425,0.0005662049,0.0000991933,0.00058964686],"category_scores_gemma":[0.00019966293,0.0001569294,0.000058351627,0.00071418105,0.00089603337,0.0020090996,0.00019152973,0.0008708274,0.000016213875],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016243373,0.0016899968,0.9853738,0.000028898261,0.00007028992,0.000006892819,0.0062540118,9.6800065e-8,0.0002496951,0.00013395467,0.000042405205,0.006133732],"study_design_scores_gemma":[0.001332778,0.0004033448,0.9862538,0.000017206463,0.000030661664,3.6180865e-8,0.010614538,0.0000037138745,0.000018024419,0.0011309974,0.000051592084,0.00014331932],"about_ca_topic_score_codex":0.029738499,"about_ca_topic_score_gemma":0.036692303,"teacher_disagreement_score":0.01674409,"about_ca_system_score_codex":0.00047524474,"about_ca_system_score_gemma":0.0005758495,"threshold_uncertainty_score":0.98088557},"labels":[],"label_agreement":null},{"id":"W2422847385","doi":"10.1155/2016/1038715","title":"Association between Perceived Built Environment and Prevalent Hypertension among South African Adults","year":2016,"lang":"en","type":"article","venue":"Advances in Epidemiology","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Medical Research Council; McMaster University; National Research Foundation; Hamilton Health Sciences","keywords":"Logistic regression; Algorithm; Walkability; Context (archaeology); Generalized estimating equation; Medicine; Machine learning; Computer science; Demography; Database; Artificial intelligence; Geography; Physical activity; Archaeology; Physical therapy; Sociology","score_opus":0.03372101649336017,"score_gpt":0.3084689741574725,"score_spread":0.2747479576641123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2422847385","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9939593,0.0014906132,0.00045641165,0.0028490063,0.0001375411,0.0002440528,0.00001632542,0.000034192,0.0008125504],"genre_scores_gemma":[0.99433815,0.004543075,0.00040969969,0.00010741578,0.00018216764,0.000024765499,0.000004677929,0.0000064541673,0.0003836137],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99776816,0.00076157716,0.0004269197,0.00044342648,0.00014587518,0.00045404563],"domain_scores_gemma":[0.99733084,0.0020896203,0.00027646517,0.00016063046,0.000023327015,0.00011908955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021781723,0.00011631518,0.00038172203,0.000047098823,0.00015207892,0.000003579275,0.00015805718,0.0001837683,0.000098288656],"category_scores_gemma":[0.0019758493,0.00008055846,0.00005114284,0.000070477734,0.00046069152,0.0003918866,0.00003390018,0.00011678774,0.000014144098],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019500538,0.000017183378,0.9735501,0.000007866795,0.000007908401,0.0000010676657,0.0015728219,0.000004923982,0.000018205716,0.000081175865,0.000015048001,0.02470421],"study_design_scores_gemma":[0.00037196354,0.000039698825,0.98490536,0.00005305118,0.000020634267,4.3914685e-8,0.000509718,0.000008388568,0.000006273588,0.006642205,0.007325939,0.00011674999],"about_ca_topic_score_codex":0.001126918,"about_ca_topic_score_gemma":0.0038454193,"teacher_disagreement_score":0.02458746,"about_ca_system_score_codex":0.00024972163,"about_ca_system_score_gemma":0.00001913402,"threshold_uncertainty_score":0.32850784},"labels":[],"label_agreement":null},{"id":"W2424802475","doi":"10.1016/s0197-2510(10)70257-6","title":"10.1016/s0197-2510(10)70257-6","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Salary; Ambulance service; Work (physics); Business; Service (business); Medical emergency; Emergency medical services; Operations management; Transport engineering; Engineering; Medicine; Marketing; Political science","score_opus":0.010448919794173176,"score_gpt":0.2237971833656158,"score_spread":0.21334826357144263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2424802475","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010331603,0.000055098073,4.426922e-7,0.0006592888,0.0000028007587,0.00019596561,0.000014584655,0.00018749003,0.98855275],"genre_scores_gemma":[0.0066240667,2.8357215e-7,0.000051315397,0.000042807183,0.00030700152,0.000010756155,0.000012164782,0.000011828244,0.9929398],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99878806,0.000065964094,0.00018860128,0.00027410386,0.00031198683,0.00037128432],"domain_scores_gemma":[0.9994168,0.000039302944,0.0000294353,0.00024265013,0.00005493255,0.00021684205],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00038445502,0.00011141572,0.00015543727,0.000038626345,0.00032953953,0.00008050963,0.00038216187,0.000089962225,0.99944186],"category_scores_gemma":[0.000041681626,0.000107654945,0.00008118175,0.0003391207,0.00013924517,0.00023200894,0.00001407328,0.0000956298,0.9916478],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000076321354,0.00011153474,0.00004467764,0.000006029903,0.000012576783,0.000006141112,0.0005490485,0.0000069996945,0.000012814258,0.0000060243015,0.4008885,0.59827936],"study_design_scores_gemma":[0.00011625898,0.000035153964,0.0011740719,0.00000825388,0.000012677823,8.522157e-8,0.00001009285,0.0000074786326,0.000020885222,0.000059277838,0.998401,0.00015478184],"about_ca_topic_score_codex":0.0008934275,"about_ca_topic_score_gemma":0.00004754633,"teacher_disagreement_score":0.59812456,"about_ca_system_score_codex":0.00005023891,"about_ca_system_score_gemma":0.000092081835,"threshold_uncertainty_score":0.43900412},"labels":[],"label_agreement":null},{"id":"W2425518073","doi":"10.1016/j.jth.2016.05.098","title":"Cost Effectiveness of Investing in Footpaths As a Means of Increasing Physical Activity in an Australian City: A Modelling Study","year":2016,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Business","score_opus":0.14186271079625554,"score_gpt":0.4188011657559788,"score_spread":0.27693845495972325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2425518073","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99730116,0.000022655555,0.0016653601,0.00022661033,0.00006773186,0.0006340033,0.0000123369,0.0000076858205,0.00006246343],"genre_scores_gemma":[0.9995936,0.000021814469,0.00028699264,0.000007757136,0.00007054187,0.0000042534716,6.063472e-7,0.000011537342,0.000002906238],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99660724,0.0012551396,0.00086695474,0.00023548624,0.0006514933,0.00038367597],"domain_scores_gemma":[0.998181,0.00044677503,0.0007665402,0.00015529088,0.0001859844,0.0002644225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008458041,0.00014737184,0.0008564204,0.00026900478,0.00009343961,0.000008406368,0.00029220895,0.00008114907,0.00000719532],"category_scores_gemma":[0.0000842486,0.00011356678,0.00014775335,0.00059473957,0.00021492122,0.000952567,0.000005123093,0.0003626579,9.441528e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009876123,0.0023652676,0.9653748,0.00021980556,0.000016116923,0.000035199162,0.023729952,0.0007309556,0.0016389844,0.000056390916,8.452514e-8,0.0048447987],"study_design_scores_gemma":[0.001750725,0.0007392029,0.9906663,0.0012731412,0.000027320784,0.000001058695,0.003326072,0.00008907524,0.0008317373,0.0011825243,0.0000034042923,0.000109486165],"about_ca_topic_score_codex":0.05286451,"about_ca_topic_score_gemma":0.05759832,"teacher_disagreement_score":0.02529142,"about_ca_system_score_codex":0.00034559815,"about_ca_system_score_gemma":0.0012931412,"threshold_uncertainty_score":0.95959806},"labels":[],"label_agreement":null},{"id":"W2430112805","doi":"10.1016/j.jth.2016.05.118","title":"Getting at Mode Share: Lessons from a School Travel Program Evaluation","year":2016,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Mode (computer interface); Business; Computer science; Human–computer interaction","score_opus":0.0889718171296384,"score_gpt":0.42555953139684327,"score_spread":0.33658771426720485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2430112805","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96724343,0.0010665378,0.0019221299,0.027281651,0.00044034887,0.0008258438,0.00012522693,0.000047063848,0.0010477607],"genre_scores_gemma":[0.99590266,0.00040643994,0.0023405084,0.0003488864,0.000710629,0.000022127108,0.000021018735,0.000016871321,0.00023085703],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9966985,0.00024701198,0.0010049832,0.00026924323,0.0012804432,0.00049983634],"domain_scores_gemma":[0.9979198,0.00010272918,0.0007872507,0.00019006127,0.00039099687,0.00060914544],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0034971742,0.0001506473,0.00042499424,0.000097474716,0.00051817583,0.00003158498,0.00037571057,0.00012810885,0.0013865157],"category_scores_gemma":[0.00009969183,0.00010391932,0.00026312034,0.00022432946,0.00014297158,0.00069048867,0.0000045181664,0.00026723975,0.0000134214015],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023327972,0.00043835805,0.7301272,0.000049665257,0.00007057837,0.00002098737,0.00798321,0.000013678185,0.0010353706,0.0001766127,0.00091908354,0.25893193],"study_design_scores_gemma":[0.0014402871,0.00016793184,0.9833446,0.0003731583,0.00009564158,0.000001498313,0.00057998893,0.000035769688,0.000164442,0.0030343693,0.010589613,0.00017270533],"about_ca_topic_score_codex":0.0042886697,"about_ca_topic_score_gemma":0.022961507,"teacher_disagreement_score":0.25875923,"about_ca_system_score_codex":0.00085226266,"about_ca_system_score_gemma":0.0026217028,"threshold_uncertainty_score":0.9995264},"labels":[],"label_agreement":null},{"id":"W2433444342","doi":"10.1123/jpah.2014-0052","title":"Walk, Bicycle, and Transit Trips of Transit-Dependent and Choice Riders in the 2009 United States National Household Travel Survey","year":2014,"lang":"en","type":"article","venue":"Journal of Physical Activity and Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"TRIPS architecture; Public transport; Typology; Transport engineering; Transit (satellite); Business; Travel behavior; Trip generation; Telephone survey; Vehicle miles of travel; Advertising; Geography; Engineering","score_opus":0.08399925074351526,"score_gpt":0.35774887726733284,"score_spread":0.27374962652381757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2433444342","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99298716,0.000115310635,0.00037855198,0.006251013,0.000022787655,0.000117874566,0.00005735838,0.0000026287107,0.000067293746],"genre_scores_gemma":[0.99933636,0.00026843874,0.000014706556,0.00026665392,0.00010163999,5.7640204e-7,0.0000026965376,0.0000035549958,0.0000053824183],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984642,0.00058545714,0.00023491729,0.00011704754,0.00043036096,0.00016800273],"domain_scores_gemma":[0.99872816,0.0008101241,0.00020974228,0.000040935334,0.0000782379,0.00013277502],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032571738,0.00008312073,0.00031781106,0.000092334645,0.0002246864,0.000037604437,0.00009415749,0.000045144014,0.0000021028927],"category_scores_gemma":[0.00006101911,0.000056967245,0.000044804918,0.00024350265,0.00027428358,0.00033508835,0.000003377645,0.00031650692,2.9282582e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009877464,0.0037696518,0.8470468,0.00049329264,0.000101470556,0.0000049790037,0.07254978,0.00039005725,0.001488188,0.002605486,0.00022949102,0.07033303],"study_design_scores_gemma":[0.0007745843,0.0002392137,0.99498546,0.000028143832,0.0000126194345,9.0885374e-7,0.0008474509,0.00041526274,0.00007359292,0.0024740628,0.00009035117,0.00005832017],"about_ca_topic_score_codex":0.018623853,"about_ca_topic_score_gemma":0.025754754,"teacher_disagreement_score":0.14793867,"about_ca_system_score_codex":0.000029036859,"about_ca_system_score_gemma":0.00015563717,"threshold_uncertainty_score":0.9920227},"labels":[],"label_agreement":null},{"id":"W2435293585","doi":"10.1016/j.jth.2016.05.037","title":"Urban Transport and Health: Understanding Real Impacts, Underlying Driving Forces and Co-Producing Future Directions","year":2016,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Environmental planning; Environmental science; Business","score_opus":0.09456441473879884,"score_gpt":0.3782099016591654,"score_spread":0.28364548692036656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2435293585","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95009947,0.0066350326,0.004718172,0.036807466,0.0006887186,0.0003773982,0.000033467168,0.00007571286,0.00056454947],"genre_scores_gemma":[0.9679425,0.030394867,0.00046855162,0.00027653488,0.0007826963,0.0000017199397,0.0000045148263,0.000026178208,0.00010246325],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970128,0.00015397675,0.0011144379,0.00038075566,0.00060980284,0.0007282545],"domain_scores_gemma":[0.99792796,0.00012905711,0.0007952341,0.0001663486,0.000097341406,0.00088405],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0040501654,0.00023401243,0.00067481253,0.00025593187,0.0016129278,0.000052065614,0.00018582419,0.00013572135,0.00004909393],"category_scores_gemma":[0.000016289354,0.00017092658,0.00016550496,0.0003328676,0.0003561513,0.0011294339,0.0000032356902,0.00038355595,2.7797898e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055695007,0.00005735607,0.95538723,0.00021390378,0.000049497867,0.000016504811,0.032584842,5.8933887e-7,0.00006962438,0.0013370514,0.0002691496,0.009958565],"study_design_scores_gemma":[0.0008241205,0.00028224112,0.9758739,0.00075608434,0.00004619354,0.0000175433,0.010581439,8.771424e-7,0.000009559108,0.0010533138,0.0103468895,0.00020784083],"about_ca_topic_score_codex":0.005642406,"about_ca_topic_score_gemma":0.04823459,"teacher_disagreement_score":0.042592183,"about_ca_system_score_codex":0.0007557552,"about_ca_system_score_gemma":0.0015024336,"threshold_uncertainty_score":0.99968684},"labels":[],"label_agreement":null},{"id":"W2461347891","doi":"10.3390/ijerph13060611","title":"Walk Score, Transportation Mode Choice, and Walking Among French Adults: A GPS, Accelerometer, and Mobility Survey Study","year":2016,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":74,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Canadian Institutes of Health Research","keywords":"Walkability; Global Positioning System; Mode choice; Odds; Logistic regression; Travel behavior; Accelerometer; Geography; Transport engineering; Psychology; Medicine; Computer science; Physical medicine and rehabilitation; Statistics; Physical activity; Public transport; Mathematics; Engineering","score_opus":0.09424724286101363,"score_gpt":0.4048070971658155,"score_spread":0.3105598543048018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2461347891","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997081,0.00057941535,0.000079850106,0.0016152543,0.00010082826,0.00032135053,0.00016715258,0.0000050053063,0.00005014396],"genre_scores_gemma":[0.9970437,0.0026472644,0.000040232866,0.000038900293,0.0001260148,0.000007099777,0.000013478978,0.0000066083235,0.000076642],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969881,0.00062847085,0.00049368,0.00027247393,0.0012480195,0.0003692361],"domain_scores_gemma":[0.99837524,0.00062278926,0.00020852743,0.00008661595,0.00014907413,0.00055773096],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0056274035,0.00009558429,0.00019121204,0.00023584567,0.00032206072,0.00018246415,0.0002911084,0.000055306533,0.00017323032],"category_scores_gemma":[0.0003916244,0.000068288835,0.000029347582,0.00012348502,0.0007148161,0.0012050634,0.000038168724,0.00026281906,6.4139135e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005851677,0.0006830082,0.89619434,0.00000739394,0.00003591299,0.000005759129,0.0034993095,4.0934648e-8,0.000032943186,0.00002029817,0.0000236252,0.09943887],"study_design_scores_gemma":[0.0010861723,0.00043307236,0.9951343,0.000057543628,0.0000020479329,0.0000010616357,0.0021951464,0.00000415049,0.0000045210286,0.00049130374,0.0005252837,0.000065377826],"about_ca_topic_score_codex":0.019993596,"about_ca_topic_score_gemma":0.049502034,"teacher_disagreement_score":0.09937349,"about_ca_system_score_codex":0.000278567,"about_ca_system_score_gemma":0.00023162253,"threshold_uncertainty_score":0.98653233},"labels":[],"label_agreement":null},{"id":"W2461353120","doi":"10.17269/cjph.107.5242","title":"A methodology to leverage cross-sectional accelerometry to capture weather’s influence in active living research","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Saskatchewan Health; University of Saskatchewan; Dalhousie University; University of Regina","funders":"Canadian Institutes of Health Research; Heart and Stroke Foundation of Canada","keywords":"Leverage (statistics); Accelerometer; Cross-sectional study; Environmental science; Computer science; Statistics; Artificial intelligence; Mathematics","score_opus":0.37135001537893847,"score_gpt":0.49421590407065286,"score_spread":0.12286588869171439,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2461353120","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9606496,0.00013511046,0.0017046034,0.035827726,0.00037701897,0.0002313482,0.000028890458,0.000005784817,0.0010398898],"genre_scores_gemma":[0.99608237,0.000012510645,0.0008956105,0.0018149423,0.00033251723,0.000005768108,2.6775942e-7,0.000009747935,0.0008462776],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99552464,0.0018770961,0.00053984934,0.0002673691,0.00056679995,0.0012242286],"domain_scores_gemma":[0.9940058,0.0012390965,0.000153506,0.00016476156,0.0009902497,0.0034465909],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.022622071,0.00008975496,0.00026770323,0.001468075,0.0005920518,0.00022628861,0.00074161374,0.00015729474,0.00089464796],"category_scores_gemma":[0.012555086,0.00007208081,0.0000630131,0.0018138051,0.00030465203,0.00092817587,0.000022448763,0.0005796613,0.000023310593],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009481353,0.000015697005,0.9633152,0.0000076843235,0.000007388713,0.000023947914,0.022775773,0.000005543781,0.000052681342,0.0011122484,0.00046779405,0.012206552],"study_design_scores_gemma":[0.000118384705,0.00009368671,0.9706925,0.00008331229,4.0944508e-7,0.000003718645,0.0029859436,1.0178591e-7,0.0000061773294,0.00083448016,0.025104234,0.000077048644],"about_ca_topic_score_codex":0.33747086,"about_ca_topic_score_gemma":0.88944685,"teacher_disagreement_score":0.55197597,"about_ca_system_score_codex":0.0033162879,"about_ca_system_score_gemma":0.02652253,"threshold_uncertainty_score":0.9957626},"labels":[],"label_agreement":null},{"id":"W2461548583","doi":"10.1249/01.mss.0000479236.66407.8f","title":"Young Adolescents’ Physical Activity In Five Locations As Measured Using GPS And Accelerometry","year":2015,"lang":"en","type":"article","venue":"Medicine & Science in Sports & Exercise","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Global Positioning System; Physical activity; Demography; Geography; Medicine; Physical therapy; Telecommunications; Computer science","score_opus":0.057003411000008775,"score_gpt":0.3511517142066561,"score_spread":0.2941483032066473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2461548583","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99664235,0.00006525526,0.000042183492,0.00042139087,0.00043327978,0.0004189719,9.334788e-7,0.000034719927,0.0019409074],"genre_scores_gemma":[0.99955636,0.000046531954,0.00005955514,0.000045579738,0.00014888043,0.0000110154815,0.0000010401903,0.0000070098986,0.00012402343],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971413,0.00006279683,0.00025868314,0.00056220364,0.0014591065,0.00051588664],"domain_scores_gemma":[0.9989578,0.00003079738,0.000120327975,0.00027765523,0.0002032697,0.0004101088],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003202672,0.00015503108,0.00036755487,0.00043290973,0.00031369532,0.0000560624,0.0004460496,0.00006913,0.00003504494],"category_scores_gemma":[0.0005082416,0.00013328144,0.000026715259,0.00291878,0.0025476075,0.0016532379,0.000059167556,0.00027265368,0.0000031461395],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027220894,0.00021449277,0.9691366,0.000009764587,8.885041e-8,0.000028187635,0.019020706,0.000021594624,0.00022005741,0.000013331798,0.000013519415,0.011294451],"study_design_scores_gemma":[0.00045296416,0.000019848354,0.98907864,0.0003495218,0.000015408494,9.153937e-7,0.008524844,0.0004721865,0.000035949368,0.0008576773,0.00004432273,0.00014772872],"about_ca_topic_score_codex":0.02268898,"about_ca_topic_score_gemma":0.0045248736,"teacher_disagreement_score":0.019942047,"about_ca_system_score_codex":0.00036518168,"about_ca_system_score_gemma":0.0009463127,"threshold_uncertainty_score":0.983819},"labels":[],"label_agreement":null},{"id":"W2462722026","doi":"","title":"Modeling Telecommuting Decisions in Diverse Socioeconomic Environments","year":2015,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Telecommuting; Socioeconomic status; Work (physics); Computer science; Business; Transport engineering; Economics; Operations research; Engineering; Sociology; Population","score_opus":0.08328433567952848,"score_gpt":0.32632285188161114,"score_spread":0.24303851620208267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2462722026","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9650895,0.000033387947,0.0018641818,0.00023330624,0.00009139665,0.00008173735,9.660553e-7,0.000023080529,0.032582454],"genre_scores_gemma":[0.9983453,0.000024478904,0.0008058158,0.000081816324,0.0000447565,0.0000026759312,0.0000023413538,0.0000033807735,0.0006894443],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99932456,0.00004558589,0.00016289351,0.000141713,0.00012480073,0.00020044236],"domain_scores_gemma":[0.99971765,0.000042382813,0.000019029692,0.00010261654,0.000006281396,0.00011200936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070700375,0.00004816428,0.000081137754,0.000034317116,0.00017352421,0.000028450364,0.00019437604,0.000051972114,0.0003467621],"category_scores_gemma":[0.00005523168,0.000046753627,0.000032026604,0.000048049977,0.00006766882,0.00030118806,0.00003402003,0.000083923864,0.00017701212],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006118997,0.00006299486,0.9777436,3.4667343e-7,0.000002903523,0.000002183047,0.011529045,0.0036741379,0.000011201104,0.0005943051,0.00012024132,0.0062529007],"study_design_scores_gemma":[0.0054244664,0.00007255712,0.32241133,0.00006532521,0.00005542563,3.0088228e-7,0.32223022,0.21342169,0.00017930436,0.10029306,0.0342268,0.0016195141],"about_ca_topic_score_codex":0.0071264785,"about_ca_topic_score_gemma":0.018706853,"teacher_disagreement_score":0.65533227,"about_ca_system_score_codex":0.00018390008,"about_ca_system_score_gemma":0.00008068159,"threshold_uncertainty_score":0.99948514},"labels":[],"label_agreement":null},{"id":"W2464637415","doi":"10.1061/9780784479926.051","title":"Making Transit Reliability Benefits Accessible to Engineers","year":2016,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"","keywords":"Reliability (semiconductor); Transit (satellite); Computer science; Reliability engineering; Transport engineering; Risk analysis (engineering); Engineering; Public transport; Business","score_opus":0.047415335189397015,"score_gpt":0.3280026449365167,"score_spread":0.2805873097471197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2464637415","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.902571,0.000038700367,0.011113768,0.008666039,0.00028221178,0.0002670862,0.000011379278,0.00027096813,0.07677881],"genre_scores_gemma":[0.99434465,0.0000093493145,0.0014769094,0.0003361658,0.00014664516,0.000010280744,5.6506167e-7,0.000008474139,0.0036669597],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987127,0.00004105157,0.00020861627,0.00033655087,0.000316319,0.00038472356],"domain_scores_gemma":[0.9993356,0.00010873721,0.00002524606,0.00025698834,0.0000882077,0.00018520719],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00064998254,0.00010030846,0.00013618535,0.00005485682,0.00023978282,0.000057954287,0.00037761533,0.000084666644,0.0025095458],"category_scores_gemma":[0.0001295461,0.00006502168,0.0000802733,0.000378649,0.00010304462,0.0005283116,0.000015962305,0.000051218838,0.000118367694],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000068051464,0.0001352603,0.8187312,0.000029435823,0.000015800713,0.0000036855852,0.009486678,0.00009345384,0.0009371913,0.023814267,0.0021147274,0.14457025],"study_design_scores_gemma":[0.0005201357,0.00004801118,0.9085654,0.000121819896,0.000026146214,9.236985e-8,0.0012874679,0.000010758859,0.0038665838,0.004760701,0.08024202,0.0005508399],"about_ca_topic_score_codex":0.00078997813,"about_ca_topic_score_gemma":0.0051506255,"teacher_disagreement_score":0.14401941,"about_ca_system_score_codex":0.00009451122,"about_ca_system_score_gemma":0.0000931346,"threshold_uncertainty_score":0.9984023},"labels":[],"label_agreement":null},{"id":"W2465082530","doi":"10.1016/j.tbs.2016.06.003","title":"Driving over the life course: The automobility of Canada’s Millennial, Generation X, Baby Boomer and Greatest Generations","year":2016,"lang":"en","type":"article","venue":"Travel Behaviour and Society","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":74,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"","keywords":"Baby boomers; TRIPS architecture; Generation x; License; Demographic economics; Descriptive statistics; Diversity (politics); Demographics; Demography; Life course approach; Geography; Advertising; Sociology; Psychology; Political science; Business; Economics; Engineering; Social psychology; Transport engineering","score_opus":0.023176544167888637,"score_gpt":0.27371513523927404,"score_spread":0.25053859107138543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2465082530","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99383855,0.0004834891,0.000170546,0.004828975,0.00013361352,0.00023627176,0.00006325323,0.000012742425,0.00023256386],"genre_scores_gemma":[0.9984873,0.00025102496,0.000040498377,0.00023045615,0.00017968637,0.000014314419,0.0000045810493,0.0000057606794,0.0007864064],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989954,0.00010317206,0.000208745,0.00020461879,0.00028225634,0.00020578517],"domain_scores_gemma":[0.99942154,0.00012379134,0.00007632377,0.00018332487,0.00008625274,0.00010879398],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007485799,0.00009825022,0.00012701165,0.0000041557687,0.0012700127,0.000057243557,0.00013253407,0.000081755745,0.00013058331],"category_scores_gemma":[0.000028064489,0.00004923016,0.0000699688,0.0000752861,0.00070979353,0.00014731493,0.00001726329,0.000091325506,1.4925806e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000013069599,0.00003571367,0.9791929,0.000003796251,0.00002427826,2.3586088e-7,0.010768545,6.1564674e-7,0.00093953643,0.0008121731,0.0074196877,0.0008011826],"study_design_scores_gemma":[0.00018304658,0.00000788945,0.9960913,0.000005380309,0.00008821618,2.1045284e-7,0.002645845,0.000075598895,0.0001846644,0.000048608334,0.0005859726,0.00008324429],"about_ca_topic_score_codex":0.18754071,"about_ca_topic_score_gemma":0.62186193,"teacher_disagreement_score":0.43432122,"about_ca_system_score_codex":0.000043523418,"about_ca_system_score_gemma":0.0007226015,"threshold_uncertainty_score":0.9768039},"labels":[],"label_agreement":null},{"id":"W2465082903","doi":"10.1016/j.exis.2016.06.003","title":"Exploring the nature, extent, and community impacts and responses to E-RGM in Long Harbour, Newfoundland and Labrador and Sudbury, Ontario","year":2016,"lang":"en","type":"article","venue":"The Extractive Industries and Society","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"Research and Development Corporation of Newfoundland and Labrador","keywords":"Context (archaeology); Stakeholder; Harbour; Residence; Variety (cybernetics); Government (linguistics); Geography; Environmental resource management; Environmental planning; Business; Political science; Public relations; Sociology; Archaeology","score_opus":0.0790644693651688,"score_gpt":0.3152404885431183,"score_spread":0.2361760191779495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2465082903","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99235684,0.0013560244,0.000010856549,0.005572916,0.00006826485,0.00034691318,0.000023401237,0.000016003782,0.00024877492],"genre_scores_gemma":[0.9963436,0.0024508203,0.000020745378,0.0002527888,0.00008471765,0.00001608563,8.210655e-7,0.000007890076,0.00082252454],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987206,0.000404736,0.0001597327,0.00023686286,0.00017222282,0.00030586406],"domain_scores_gemma":[0.9978343,0.0016970045,0.000072490984,0.0001773037,0.00004903337,0.00016984502],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0020948509,0.00016033335,0.0001991941,0.000023195798,0.0018594497,0.00029490946,0.00013952807,0.00017062327,0.000012748215],"category_scores_gemma":[0.00029097893,0.000085304106,0.000025168598,0.00016277815,0.0014038444,0.00086135924,0.00013736439,0.001005281,1.5284355e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014978478,0.000031061467,0.87601066,0.000010999244,0.00002942379,0.00000251246,0.1055506,3.3591558e-8,0.00012982056,0.000339365,0.00011493561,0.0176308],"study_design_scores_gemma":[0.00043527418,0.000060909562,0.9544079,0.000085717584,0.000024544186,0.0000028661732,0.040385857,6.604116e-7,0.000060624105,0.0008202609,0.0035850771,0.00013032647],"about_ca_topic_score_codex":0.21920237,"about_ca_topic_score_gemma":0.4512859,"teacher_disagreement_score":0.23208353,"about_ca_system_score_codex":0.00011508961,"about_ca_system_score_gemma":0.00014843901,"threshold_uncertainty_score":0.99944},"labels":[],"label_agreement":null},{"id":"W2466227822","doi":"10.1007/s11116-016-9726-2","title":"Integration of a phone-based household travel survey and a web-based student travel survey","year":2016,"lang":"en","type":"article","venue":"Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Representativeness heuristic; Travel survey; Sampling frame; Travel behavior; Phone; Survey data collection; Weighting; Survey methodology; Geography; Population; Sampling (signal processing); Scale (ratio); Computer science; Transport engineering; Statistics; Engineering; Cartography; Mathematics; Telecommunications","score_opus":0.06219176723379687,"score_gpt":0.3158994856768339,"score_spread":0.253707718443037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2466227822","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97819585,0.00004296795,0.019993745,0.00014734131,0.00014379197,0.00037133225,0.00089567597,0.000051414605,0.0001579003],"genre_scores_gemma":[0.99921614,0.00001988972,0.00016721801,0.000042518095,0.000022564918,0.00002233967,0.00036127365,0.000016853503,0.00013117568],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980777,0.00036254074,0.0004935865,0.0003317436,0.0005035179,0.0002309133],"domain_scores_gemma":[0.9988754,0.00041550046,0.00020226157,0.00017174393,0.00021905507,0.00011604289],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019969516,0.0001600443,0.00027807456,0.00011022796,0.00019163675,0.000028432969,0.00017218968,0.0001339057,0.00010338354],"category_scores_gemma":[0.000056269626,0.00012232448,0.00008149902,0.00038404117,0.000394713,0.00026941666,6.765541e-7,0.00007725644,0.0000018444064],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023897973,0.000260402,0.9816629,0.000026223652,0.000011403154,0.0000014320395,0.002136072,0.000011233172,0.013473742,0.00023124668,0.000019046158,0.0019272836],"study_design_scores_gemma":[0.0017609608,0.00006157292,0.9902901,0.00005674014,0.000030606257,8.674863e-9,0.00044628172,0.00003401052,0.0070729777,0.0000703488,0.000009430351,0.0001669774],"about_ca_topic_score_codex":0.029252404,"about_ca_topic_score_gemma":0.39685187,"teacher_disagreement_score":0.36759946,"about_ca_system_score_codex":0.000052750485,"about_ca_system_score_gemma":0.0003140653,"threshold_uncertainty_score":0.9772119},"labels":[],"label_agreement":null},{"id":"W2466616840","doi":"10.5539/mas.v10n8p32","title":"Urban Growth Structure and Travel Behavior in Tehran City","year":2016,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Urban sprawl; Smart growth; Traffic congestion; Transport engineering; Growth management; Business; Land use; Population growth; Urban planning; Environmental planning; Dependency (UML); Population; Geography; Computer science; Environmental health; Civil engineering; Engineering","score_opus":0.01924621277161456,"score_gpt":0.2731791505066024,"score_spread":0.2539329377349879,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2466616840","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99021304,0.000025237881,0.00245176,0.000297837,0.000073457435,0.0002869818,0.000016282418,0.000039716775,0.006595713],"genre_scores_gemma":[0.99940926,0.000006486578,0.00023433518,0.00006698405,0.000052120686,0.000017042075,6.0457995e-7,0.0000051111733,0.00020805764],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983077,0.000018242268,0.00016742136,0.0005276501,0.0005280765,0.00045092657],"domain_scores_gemma":[0.99949247,0.000037737682,0.00004750132,0.00018926941,0.00004595423,0.00018708139],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006833005,0.00010847172,0.00014039822,0.00010614976,0.00048048972,0.00009400288,0.00051809713,0.000078456724,0.00008033066],"category_scores_gemma":[0.0000381864,0.00007547312,0.000020249054,0.0005178824,0.0020088577,0.00043911394,0.00004278454,0.00010321159,0.0000035425937],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011582719,0.00003797334,0.7766314,0.0000033850429,5.212938e-7,0.0000021239796,0.005070211,4.6696538e-8,0.20210867,0.0072638094,0.000013552795,0.008856716],"study_design_scores_gemma":[0.0002949684,0.0000075867442,0.97388405,0.000006648876,0.0000047330136,1.6227028e-7,0.00020870994,0.000032817807,0.006498863,0.01885424,0.00005267188,0.00015455358],"about_ca_topic_score_codex":0.0006034459,"about_ca_topic_score_gemma":0.003211277,"teacher_disagreement_score":0.19725263,"about_ca_system_score_codex":0.000102326856,"about_ca_system_score_gemma":0.00021061972,"threshold_uncertainty_score":0.74017197},"labels":[],"label_agreement":null},{"id":"W2467478107","doi":"10.3390/su8070624","title":"Impacts on the Social Cohesion of Mainland Spain’s Future Motorway and High-Speed Rail Networks","year":2016,"lang":"en","type":"article","venue":"Sustainability","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"European Regional Development Fund","keywords":"Cohesion (chemistry); Socioeconomic status; Peninsula; Mainland; Population; Quarter (Canadian coin); Geography; Regional science; Business; Socioeconomic development; Economic growth; Economic geography; Environmental planning; Economics; Sociology; Demography","score_opus":0.009543574056682826,"score_gpt":0.27449689179766673,"score_spread":0.2649533177409839,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2467478107","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9713579,0.0000711493,0.00012588722,0.026962724,0.00017579366,0.00059504714,0.000015810112,0.000039439674,0.0006562719],"genre_scores_gemma":[0.9987924,0.000030510331,0.0000070586166,0.00010993991,0.00063263887,0.0000074859895,0.0000017961046,0.000007951628,0.0004102331],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99804986,0.00062421174,0.0002476167,0.00031042407,0.00034351964,0.0004243926],"domain_scores_gemma":[0.99848133,0.00060047815,0.00013203609,0.0002803369,0.00038651374,0.00011930055],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027508445,0.0001399276,0.00023123575,0.000028610899,0.0007952157,0.000039766972,0.00024751973,0.000193711,0.00023234778],"category_scores_gemma":[0.00078718807,0.00007253693,0.00009733621,0.00022063073,0.0011231827,0.00018489665,0.000039909715,0.00017747698,0.0000012286324],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032504956,0.00012993146,0.93481165,0.000068479865,0.000016471722,0.0000034448633,0.0064838,0.0000016645301,0.00005637833,0.039020993,0.0007802439,0.018301863],"study_design_scores_gemma":[0.00039781578,0.00006367165,0.95315987,0.000013967064,0.000014756256,3.851409e-8,0.0048679034,0.000004826925,0.000060012262,0.038544506,0.0027574813,0.000115129355],"about_ca_topic_score_codex":0.002027212,"about_ca_topic_score_gemma":0.0013629767,"teacher_disagreement_score":0.02743451,"about_ca_system_score_codex":0.00038063663,"about_ca_system_score_gemma":0.0003357293,"threshold_uncertainty_score":0.6116237},"labels":[],"label_agreement":null},{"id":"W2467978830","doi":"10.1177/0265813516656862","title":"Greenhouse gas emissions and urban form: Linking households’ socio-economic status with housing and transportation choices","year":2016,"lang":"en","type":"article","venue":"Environment and Planning B Urban Analytics and City Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"","keywords":"Greenhouse gas; Urban sprawl; Census; Natural resource economics; Business; Population; Land use; Agricultural economics; Economic growth; Economics; Engineering","score_opus":0.024922376919767748,"score_gpt":0.25276319219393645,"score_spread":0.2278408152741687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2467978830","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99789464,0.0007318488,0.0006466292,0.00027296293,0.000032217304,0.00012578773,0.000029654828,0.000031489515,0.00023476547],"genre_scores_gemma":[0.9978074,0.0014518079,0.00034389377,0.00004206026,0.000076757766,0.000002048167,0.0000041563544,0.000008444727,0.00026346356],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99863696,0.000020942172,0.00018861744,0.00048146115,0.00027612082,0.0003958703],"domain_scores_gemma":[0.99932045,0.00009828943,0.00012209927,0.00011396758,0.000009397267,0.00033580326],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0005672724,0.00015496196,0.00017655353,0.00007462149,0.0013055765,0.00024528246,0.000108021675,0.00007010034,0.00002232811],"category_scores_gemma":[0.00001233744,0.000110198576,0.000018900531,0.00009604176,0.0018491972,0.0007780929,0.000022707687,0.00009928269,4.36681e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014782601,0.0000133607555,0.9887838,0.000010485413,0.0000083397135,0.000003356778,0.0077143726,0.000008594973,0.00025197864,0.00021822275,0.000018669223,0.0029540544],"study_design_scores_gemma":[0.00043707463,0.00007955335,0.99293554,0.000102114245,0.00006182502,5.472927e-7,0.0016722743,0.00035084694,0.00006930047,0.00061287085,0.0034248072,0.00025323898],"about_ca_topic_score_codex":0.00060273986,"about_ca_topic_score_gemma":0.00054637104,"teacher_disagreement_score":0.006042098,"about_ca_system_score_codex":0.00006513903,"about_ca_system_score_gemma":0.00008044031,"threshold_uncertainty_score":0.9999946},"labels":[],"label_agreement":null},{"id":"W2468679115","doi":"10.3390/socsci5030028","title":"Converging Urban Agendas: Toward Healthy and Sustainable Communities","year":2016,"lang":"en","type":"article","venue":"Social Sciences","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Environmental planning; Environmental health; Psychology; Geography; Medicine","score_opus":0.06255288122840477,"score_gpt":0.351084753152583,"score_spread":0.2885318719241782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2468679115","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.947149,0.00022264931,0.000042489042,0.009322749,0.00028635177,0.00015286115,0.0000063364278,0.00008528154,0.042732287],"genre_scores_gemma":[0.99533594,0.000049873262,0.000042951524,0.00040058664,0.00023320575,0.0000058310666,3.202608e-7,0.0000037886866,0.0039275135],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99838763,0.00022833412,0.00015110946,0.00019278345,0.00040975862,0.0006303661],"domain_scores_gemma":[0.9995615,0.00010351293,0.000081788596,0.00007411394,0.000078472294,0.00010063631],"candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0014426309,0.00008561197,0.00014070008,0.000052176514,0.004154268,0.00015254185,0.00044007794,0.00007689387,0.00028429079],"category_scores_gemma":[0.00007314784,0.000060542458,0.000056044595,0.00045684044,0.0033900111,0.00076221913,0.0000965756,0.00007050822,0.0000052230725],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000072854496,0.000021537317,0.83830196,0.00002243149,0.0000032277205,0.0000013013577,0.050322272,2.5408726e-8,0.000027509355,0.107289314,0.0011157126,0.002887399],"study_design_scores_gemma":[0.0005846499,0.0000839154,0.58016795,0.000056643246,0.000015506013,1.9720373e-7,0.24852923,0.0000023368414,0.00013361317,0.059360553,0.11064997,0.00041545075],"about_ca_topic_score_codex":0.015677672,"about_ca_topic_score_gemma":0.00609555,"teacher_disagreement_score":0.25813404,"about_ca_system_score_codex":0.00012965577,"about_ca_system_score_gemma":0.0004930966,"threshold_uncertainty_score":0.9993222},"labels":[],"label_agreement":null},{"id":"W2469783196","doi":"10.1016/j.ypmed.2016.09.028","title":"Residential proximity to urban centres, local-area walkability and change in waist circumference among Australian adults","year":2016,"lang":"en","type":"article","venue":"Preventive Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Douglas Mental Health University Institute","funders":"National Health and Medical Research Council","keywords":"Waist; Walkability; Circumference; Overweight; Medicine; Obesity; Demography; Multilevel model; Cohort study; Cohort; Psychological intervention; Environmental health; Geography; Physical activity; Physical therapy","score_opus":0.035142943499434136,"score_gpt":0.3123245078704989,"score_spread":0.2771815643710648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2469783196","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98887664,0.0001628265,0.0005035352,0.007889611,0.00025718915,0.001244769,0.00002545965,0.000053321193,0.000986676],"genre_scores_gemma":[0.9977615,0.000053163672,0.000022768725,0.0000775031,0.0003274778,0.000087270535,0.000007960324,0.000008282727,0.001654066],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997711,0.00030101457,0.00039766726,0.0006154714,0.00047327182,0.0005015933],"domain_scores_gemma":[0.9989705,0.0001416592,0.00010849262,0.000275953,0.0001300236,0.0003733783],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012483051,0.00018055525,0.00032995758,0.00010679733,0.00017355662,0.000019381516,0.00030266278,0.00010865708,0.0010402674],"category_scores_gemma":[0.0005185165,0.000121597026,0.000044754885,0.00039612074,0.0013510251,0.0005547663,0.00006345634,0.00014449719,0.000010088377],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011199518,0.00009626563,0.9540888,0.000051898547,0.000007244757,0.000013639994,0.020696834,1.5287963e-8,0.00008780375,0.00017694045,0.0004519043,0.024216635],"study_design_scores_gemma":[0.00096306374,0.00009231072,0.9929046,0.000797856,0.000022303551,1.1550385e-7,0.0014010168,0.0000023389032,0.00019314376,0.0021590404,0.0012992376,0.00016494203],"about_ca_topic_score_codex":0.06367467,"about_ca_topic_score_gemma":0.20707999,"teacher_disagreement_score":0.1434053,"about_ca_system_score_codex":0.00020756917,"about_ca_system_score_gemma":0.0000700404,"threshold_uncertainty_score":0.9998729},"labels":[],"label_agreement":null},{"id":"W2470390677","doi":"10.1177/1757975916656347","title":"Challenges of being new to Canada: considerations for physical activity","year":2016,"lang":"en","type":"article","venue":"Global Health Promotion","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Immigration; Focus group; Multiculturalism; Physical activity; Qualitative research; Sociology; Psychology; Public relations; Gerontology; Political science; Pedagogy; Medicine; Social science","score_opus":0.10341353985924315,"score_gpt":0.4110758387416786,"score_spread":0.30766229888243546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2470390677","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86946005,0.0000330166,0.004433458,0.12317441,0.00025316633,0.00092598354,0.00007979578,0.000031503376,0.0016086244],"genre_scores_gemma":[0.99918306,0.000012480697,0.00036962118,0.00011378134,0.00022483249,0.000023148323,8.976504e-7,0.0000019143797,0.00007024309],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9992564,0.000074511685,0.00010860988,0.00016056506,0.00018175971,0.00021818942],"domain_scores_gemma":[0.9994859,0.000085077045,0.000072226896,0.000081673075,0.000086153545,0.00018895118],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000284537,0.000047794874,0.00012518755,0.000008239883,0.00023128597,0.00000554801,0.00005129722,0.000028931503,0.000011627523],"category_scores_gemma":[0.00016269447,0.000037433823,0.000027834454,0.0000747859,0.00003288036,0.00010605113,0.000005884941,0.000019640545,0.0000010660955],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003798382,0.00032506677,0.0109378,0.00012190931,0.000009745518,3.574404e-7,0.003591672,0.0000012969609,0.000118149015,0.16200835,0.003595384,0.8192523],"study_design_scores_gemma":[0.0006920139,0.00062292675,0.7623983,0.00020254035,0.000014334075,1.9501857e-7,0.0005039495,0.000010069587,0.00088066864,0.22666505,0.007815468,0.00019448476],"about_ca_topic_score_codex":0.45902336,"about_ca_topic_score_gemma":0.9701499,"teacher_disagreement_score":0.8190578,"about_ca_system_score_codex":0.0005140356,"about_ca_system_score_gemma":0.0029652934,"threshold_uncertainty_score":0.5445791},"labels":[],"label_agreement":null},{"id":"W2471267162","doi":"10.1016/j.ypmed.2016.06.042","title":"A park typology in the QUALITY cohort: Implications for physical activity and truncal fat among youth at risk of obesity","year":2016,"lang":"en","type":"article","venue":"Preventive Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; Université de Montréal; McGill University; Centre Hospitalier de l’Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"Canadian Cancer Society Research Institute; Canadian Institutes of Health Research; Concordia University; Université de Montréal; Université Laval; Alexander von Humboldt-Stiftung; McGill University; Heart and Stroke Foundation of Canada","keywords":"Medicine; Cohort; Typology; Physical activity; Obesity; Logistic regression; Demography; Gerontology; Environmental health; Physical therapy; Geography","score_opus":0.0497923519042272,"score_gpt":0.38215147626491536,"score_spread":0.33235912436068815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2471267162","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948155,0.000046676425,0.0012888589,0.0022025628,0.000042639265,0.0006882645,0.00012018867,0.00000954752,0.0007857387],"genre_scores_gemma":[0.99959123,0.000042815904,0.000011899089,0.000014461872,0.000132796,0.000056912617,0.000005749553,0.0000026082387,0.00014150352],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987367,0.0005661357,0.00016465179,0.00022247172,0.00014637169,0.00016367807],"domain_scores_gemma":[0.9984354,0.0011017367,0.00017641005,0.00017551566,0.000061562845,0.000049376697],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018162036,0.00007173983,0.0002524136,0.000021700274,0.00019366632,0.0000024585615,0.00015858126,0.00004932465,0.000025816908],"category_scores_gemma":[0.00063602097,0.00003624544,0.00005987222,0.00013018236,0.0014167335,0.00009427672,0.000023049008,0.000071736154,4.498239e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000073642885,0.0001707506,0.980301,0.000011816991,0.000018209234,7.198033e-8,0.01306557,1.288044e-8,0.00037400256,0.0025501414,0.000029762268,0.0034050033],"study_design_scores_gemma":[0.00055911427,0.000063498934,0.97789603,0.000022911356,0.00009187907,2.3599906e-8,0.0015600545,0.0000012639515,0.00016352863,0.019554708,0.00004063309,0.000046348603],"about_ca_topic_score_codex":0.005857956,"about_ca_topic_score_gemma":0.023178414,"teacher_disagreement_score":0.017320458,"about_ca_system_score_codex":0.00004741627,"about_ca_system_score_gemma":0.000026890302,"threshold_uncertainty_score":0.994646},"labels":[],"label_agreement":null},{"id":"W2471269811","doi":"10.1016/j.socscimed.2016.07.008","title":"Older adults' quality of life – Exploring the role of the built environment and social cohesion in community-dwelling seniors on low income.","year":2016,"lang":"en","type":"article","venue":"Social Science & Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":80,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health Sciences Centre; University of British Columbia; Vancouver Coastal Health Research Institute; Simon Fraser University; Vancouver Coastal Health","funders":"Canadian Institutes of Health Research","keywords":"Cohesion (chemistry); Built environment; Gerontology; Quality of life (healthcare); Tobit model; Psychology; Social environment; Sociology; Medicine; Engineering; Economics","score_opus":0.04016227532403199,"score_gpt":0.3146095683617571,"score_spread":0.2744472930377251,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2471269811","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99422616,0.00007067092,0.000012065549,0.004289061,0.00015931836,0.00026105446,0.0000049205964,0.00000918523,0.00096754177],"genre_scores_gemma":[0.9996212,0.0000369184,0.0000023391763,0.00010910153,0.00019907895,0.000009756119,3.3476508e-7,0.000003983516,0.000017262468],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997412,0.0006312135,0.00041699965,0.00019232855,0.001062678,0.00028477752],"domain_scores_gemma":[0.9989055,0.00049421896,0.00027063445,0.00020350012,0.000057510868,0.00006867662],"candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.005887283,0.00009716351,0.00026108188,0.000055213353,0.0015344813,0.000009531502,0.0007069178,0.000059605332,0.00004821145],"category_scores_gemma":[0.00044420874,0.000047072022,0.000056439178,0.00050272944,0.006793291,0.00023398866,0.00008892251,0.00024110008,6.2347544e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004810833,0.00008987264,0.7189337,0.000024516436,0.000002677707,8.001926e-8,0.25372082,4.411177e-7,0.0037588936,0.0020295507,0.0000032452992,0.021388112],"study_design_scores_gemma":[0.0004928996,0.000030223655,0.924873,0.00019381056,0.000006902899,9.5488755e-9,0.07069976,0.0000022590948,0.0015317168,0.0020033882,0.000098940094,0.00006712229],"about_ca_topic_score_codex":0.012165035,"about_ca_topic_score_gemma":0.0026054457,"teacher_disagreement_score":0.20593928,"about_ca_system_score_codex":0.0001254592,"about_ca_system_score_gemma":0.00015820297,"threshold_uncertainty_score":0.9997654},"labels":[],"label_agreement":null},{"id":"W2474518875","doi":"10.1016/j.trpro.2016.05.261","title":"Comparative Assessment of Public Bike Sharing Systems","year":2016,"lang":"en","type":"article","venue":"Transportation research procedia","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Transport Canada","funders":"","keywords":"Bike sharing; Categorization; Process (computing); Computer science; Process management; Transport engineering; Risk analysis (engineering); Engineering; Business; Artificial intelligence","score_opus":0.29051952371321915,"score_gpt":0.5001993301769921,"score_spread":0.209679806463773,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2474518875","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9843246,0.00012070121,0.0025087679,0.00080100854,0.000115822375,0.0007213554,0.00006097896,0.00011597874,0.011230834],"genre_scores_gemma":[0.99832237,0.00007574403,0.00017608398,0.0000041986295,0.00009834815,0.00012727566,0.000018862322,0.0000106792795,0.0011664183],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973294,0.00017858537,0.0004104801,0.00032832025,0.0012751772,0.00047804267],"domain_scores_gemma":[0.9981841,0.0002543362,0.00011398831,0.00018484451,0.001051059,0.00021169955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003090554,0.0000872197,0.00022392435,0.00020506815,0.00033338342,0.000067547815,0.00042075804,0.00008659113,0.00030134936],"category_scores_gemma":[0.00007865547,0.00006247179,0.00005773658,0.00075841235,0.0006303651,0.00068220694,0.000004670938,0.00016899634,0.000017686649],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008613192,0.00010170326,0.89428055,0.00010141452,0.00001960522,0.0000021687838,0.0053034434,0.0000029282342,0.0011506861,0.09834056,0.00018496746,0.0005033828],"study_design_scores_gemma":[0.00034665316,0.000046259287,0.9898986,0.00009489877,0.000006650905,1.3765595e-8,0.004077706,0.000035979643,0.0002917811,0.0014078253,0.003696416,0.000097166936],"about_ca_topic_score_codex":0.0021521568,"about_ca_topic_score_gemma":0.009624553,"teacher_disagreement_score":0.09693274,"about_ca_system_score_codex":0.00012387046,"about_ca_system_score_gemma":0.0007175345,"threshold_uncertainty_score":0.5370726},"labels":[],"label_agreement":null},{"id":"W2476623461","doi":"10.1201/9780203872512-45","title":"SUBMARINE SAFETY AND SPATIAL AWARENESS: THE SUBSAFE GAMES-BASED TRAINING SYSTEM","year":2009,"lang":"en","type":"book-chapter","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Submarine; Training (meteorology); Aeronautics; Computer science; Psychology; Marine engineering; Engineering; Geography; Meteorology","score_opus":0.03670629121333146,"score_gpt":0.2736864515849865,"score_spread":0.23698016037165504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2476623461","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000984049,0.00038675935,0.0015400898,0.0013202305,0.00034957196,0.00058854744,0.000045740264,0.00026922647,0.9945158],"genre_scores_gemma":[0.7168141,0.00006616047,0.000046092988,0.00022295842,0.00064156606,0.0000048010133,0.000057407375,0.000026010162,0.28212088],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980496,0.000070343805,0.00047537306,0.0004932795,0.00055658515,0.00035477968],"domain_scores_gemma":[0.9989536,0.0002020589,0.00022181636,0.00036244144,0.000104135754,0.00015596166],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010816447,0.0003146767,0.0005074635,0.00006410569,0.0007755806,0.00013439804,0.000411454,0.00036872196,0.0012116054],"category_scores_gemma":[0.00002137289,0.0002136599,0.00018837042,0.000050405637,0.00053491327,0.000103245584,0.000021876893,0.00034477343,0.000016416452],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003989482,0.000051108487,0.035643447,0.000367925,0.00015652225,0.00010570696,0.0076486506,0.00001732805,0.0000025492504,0.40444863,0.00049637666,0.5506628],"study_design_scores_gemma":[0.001231051,0.0001213977,0.0814936,0.0006708881,0.0003954515,0.00000198299,0.0023906052,0.00043098308,0.000010890882,0.007383339,0.90451545,0.0013543491],"about_ca_topic_score_codex":0.011670958,"about_ca_topic_score_gemma":0.07881748,"teacher_disagreement_score":0.90401906,"about_ca_system_score_codex":0.00014045644,"about_ca_system_score_gemma":0.0005903733,"threshold_uncertainty_score":0.99970144},"labels":[],"label_agreement":null},{"id":"W2477894676","doi":"10.4018/978-1-4666-1924-1.ch005","title":"Studies of Accessibility to Healthcare in Canada","year":2012,"lang":"en","type":"book-chapter","venue":"Advances in geospatial technologies book series","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Health care; Data science; Management science; Regional science; Computer science; Geography; Engineering ethics; Political science; Engineering","score_opus":0.03044046097788908,"score_gpt":0.32896217176802595,"score_spread":0.29852171079013684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2477894676","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.079254515,0.7088735,0.000027442611,0.011493212,0.0032352528,0.0043903813,0.0007520621,0.0009188823,0.19105476],"genre_scores_gemma":[0.9144845,0.072729215,0.0006142412,0.00013020089,0.000090344685,0.00012937773,0.000016859194,0.000035591584,0.011769673],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99697423,0.00005135416,0.0010233445,0.000641501,0.000610109,0.00069943216],"domain_scores_gemma":[0.9983233,0.00022294118,0.00047810725,0.0006652264,0.00023213353,0.00007828947],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005027264,0.00041579443,0.0010900268,0.00028344715,0.00016923131,0.0000137280795,0.0010405598,0.0004468959,0.000111770074],"category_scores_gemma":[0.00049936894,0.000399965,0.00008514833,0.0002729789,0.0013186433,0.0014888465,0.0003234499,0.0006264163,0.0000031672528],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002384587,0.000052619507,0.6156622,0.0011390869,0.000046910794,0.000055327568,0.00528847,0.00003192569,0.000004891504,0.10382699,0.00017690414,0.2734762],"study_design_scores_gemma":[0.00032698203,0.00019532106,0.027196301,0.0015225199,0.000035183595,3.9354236e-7,0.026135776,4.241589e-7,0.0008735268,0.20135948,0.7411769,0.0011771941],"about_ca_topic_score_codex":0.6498918,"about_ca_topic_score_gemma":0.99907225,"teacher_disagreement_score":0.83523,"about_ca_system_score_codex":0.0017514181,"about_ca_system_score_gemma":0.0017377507,"threshold_uncertainty_score":0.9998452},"labels":[],"label_agreement":null},{"id":"W2480250342","doi":"10.1016/j.envres.2016.07.038","title":"Mapping distance-decay of cardiorespiratory disease risk related to neighborhood environments","year":2016,"lang":"en","type":"article","venue":"Environmental Research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Ministério da Educação; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; U.S. Environmental Protection Agency","keywords":"Cardiorespiratory fitness; Cardiorespiratory arrest; Environmental health; Quantile; Distance decay; Geography; Medicine; Demography; Statistics; Mathematics; Physical therapy; Surgery","score_opus":0.030471622556575928,"score_gpt":0.32466051571302335,"score_spread":0.2941888931564474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2480250342","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99077743,0.00050456246,0.0006110981,0.0003595407,0.00008914652,0.0005477674,0.00020125986,0.000021807185,0.0068873735],"genre_scores_gemma":[0.9950886,0.00041485534,0.000034263754,0.000017591645,0.000068192145,0.000047864763,0.0000058544497,0.000021479444,0.004301292],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.996316,0.0006350767,0.00034259548,0.0005259386,0.0015402903,0.0006400892],"domain_scores_gemma":[0.998546,0.00022808618,0.00007966002,0.00052785315,0.000007974435,0.0006104379],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0019415176,0.00013257258,0.00019084479,0.00013773052,0.00053118466,0.000021566468,0.0005128193,0.000089376204,0.0017664322],"category_scores_gemma":[0.00018740344,0.00010286116,0.00012784089,0.00030456937,0.0012305337,0.00028070176,0.00015600014,0.00022803736,0.000535012],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007215257,0.00017906676,0.9574534,0.0000059735717,0.000023646033,0.000013405439,0.0016694198,0.0000018751631,0.006190488,0.0003047512,0.00007279189,0.034013],"study_design_scores_gemma":[0.0003848975,0.000050691255,0.95636874,0.000044484146,0.000008337917,2.3144425e-8,0.001022112,0.0000018178016,0.0016626265,0.0027769203,0.03752524,0.00015410269],"about_ca_topic_score_codex":0.00017548983,"about_ca_topic_score_gemma":0.000060181308,"teacher_disagreement_score":0.03745245,"about_ca_system_score_codex":0.0005320355,"about_ca_system_score_gemma":0.000088841945,"threshold_uncertainty_score":0.9991461},"labels":[],"label_agreement":null},{"id":"W2480806478","doi":"","title":"Just mobility in the city: the case of non-motorized households in car-dependent cities","year":2016,"lang":"en","type":"article","venue":"Infoscience (Ecole Polytechnique Fédérale de Lausanne)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Modal shift; Car ownership; Public transport; Sustainable transport; Business; Private transport; Public policy; Economic growth; Public economics; Economics; Sustainability; Transport engineering; Engineering","score_opus":0.03067847954601439,"score_gpt":0.3148591708974974,"score_spread":0.284180691351483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2480806478","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9907182,0.00006364154,0.0011680623,0.0021106224,0.00019509852,0.0012754742,0.00005683199,0.00008648359,0.0043255766],"genre_scores_gemma":[0.9984753,0.00007422841,0.00027370322,0.00035463416,0.00009055441,0.00033555125,6.8823965e-7,0.000009927255,0.00038539403],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971027,0.0004935492,0.0006521037,0.0004471057,0.0005442316,0.0007603055],"domain_scores_gemma":[0.99806374,0.0006995525,0.00023261196,0.00079157297,0.00010128888,0.000111243986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006575216,0.00020203998,0.00031871666,0.00016286747,0.0004386794,0.00009877661,0.0015851611,0.00022570517,0.00011458715],"category_scores_gemma":[0.00049516157,0.00011591041,0.00012873113,0.0012986677,0.002004253,0.00071843166,0.00011092687,0.0003530043,0.0000033457861],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054337277,0.00031688492,0.9639623,0.000033042164,0.0000039321344,0.00025062793,0.021182084,0.000008608452,0.006274554,0.003068802,0.00015232446,0.004692459],"study_design_scores_gemma":[0.0011266725,0.00020597024,0.9382556,0.00029629786,0.00002780386,0.00004034604,0.023766546,0.0001178721,0.021839608,0.01142018,0.0022901043,0.0006130006],"about_ca_topic_score_codex":0.06630118,"about_ca_topic_score_gemma":0.14099929,"teacher_disagreement_score":0.074698105,"about_ca_system_score_codex":0.00031380358,"about_ca_system_score_gemma":0.0006014481,"threshold_uncertainty_score":0.9399164},"labels":[],"label_agreement":null},{"id":"W2484786937","doi":"","title":"Modeling and Analysis of the Link between Accessibility and Employment Growth","year":2006,"lang":"en","type":"article","venue":"Journal of Construction Engineering and Management-asce","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Wage; Estimation; Socioeconomic status; Metropolitan area; Simultaneous equations model; Econometrics; Function (biology); Simultaneous equations; Variables; Range (aeronautics); Demographic economics; Economics; Mathematics; Statistics; Labour economics; Geography; Engineering; Demography; Sociology","score_opus":0.01018781220399503,"score_gpt":0.2441157341463832,"score_spread":0.23392792194238818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2484786937","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9786834,0.00034298468,0.020127041,0.00035587006,0.00010947784,0.000072335286,0.000003086142,0.000009948088,0.00029582507],"genre_scores_gemma":[0.99771315,0.0002748286,0.0018429721,0.0000046843184,0.00013074877,4.2244056e-7,5.9388253e-7,0.0000029891653,0.000029630117],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99923146,0.000028724082,0.0003335368,0.00010681085,0.00020166492,0.00009777666],"domain_scores_gemma":[0.999625,0.000029830078,0.0001474103,0.000072602685,0.00007692015,0.000048181235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005252834,0.00006948313,0.00020135325,0.00017201608,0.00012711613,0.000053968626,0.000089157984,0.000037621685,0.0000043176087],"category_scores_gemma":[0.000015930527,0.000053255906,0.000069091846,0.00035693744,0.00012491642,0.00023841768,0.000029087509,0.000091337875,1.5139072e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008584547,0.000009542299,0.96069044,0.000105026425,0.0004002228,0.0000012432123,0.00030848826,0.004355411,0.000039137572,0.0048080455,0.0000039846045,0.029269874],"study_design_scores_gemma":[0.00025372897,0.0000095201585,0.9901173,0.000041557283,0.000863794,9.601201e-7,0.00027865675,0.006781992,0.00003909053,0.001174502,0.00036486398,0.00007401369],"about_ca_topic_score_codex":0.0002684107,"about_ca_topic_score_gemma":0.00008788227,"teacher_disagreement_score":0.02942688,"about_ca_system_score_codex":0.0000207847,"about_ca_system_score_gemma":0.0000117622,"threshold_uncertainty_score":0.21717128},"labels":[],"label_agreement":null},{"id":"W2484907718","doi":"10.1186/s13705-016-0084-x","title":"Assessing the societal impacts of green demonstration homes: a Canadian case study","year":2016,"lang":"en","type":"article","venue":"Energy Sustainability and Society","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sustainable development; Green economy; Natural resource economics; Economics; Business; Regional science; Political science; Geography","score_opus":0.017079213181291075,"score_gpt":0.31924450540038746,"score_spread":0.3021652922190964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2484907718","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99520856,0.000108884255,0.00026184865,0.0035981252,0.000049360893,0.00025613827,0.000007388044,0.000026141726,0.00048356253],"genre_scores_gemma":[0.99942255,0.000024485733,0.000029025714,0.00009450582,0.00009065738,0.000014323867,0.000001316824,0.000005497082,0.0003176096],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.998515,0.00033977593,0.00025089915,0.00026535962,0.0002480484,0.00038090307],"domain_scores_gemma":[0.9988746,0.0002822033,0.00009356879,0.00023114482,0.0003018245,0.00021667394],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0019483597,0.00011212459,0.00016662615,0.000018814766,0.001427724,0.00011179914,0.00015536632,0.0001299881,0.00003572487],"category_scores_gemma":[0.0001718382,0.00006653734,0.0001583613,0.00027980199,0.0011493041,0.00071726704,0.00002479562,0.00009395924,8.6066336e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000027375709,0.00011952718,0.8989903,0.000030363293,0.00004464089,0.000044784592,0.08261078,9.749799e-7,0.000014055118,0.0024156647,0.00006319263,0.015663026],"study_design_scores_gemma":[0.00030237075,0.00004798053,0.38612702,0.0000075517714,0.000041767376,0.000004183325,0.6058095,0.00002440909,0.000017776767,0.0067869895,0.0007053213,0.00012512441],"about_ca_topic_score_codex":0.8634004,"about_ca_topic_score_gemma":0.83860993,"teacher_disagreement_score":0.5231987,"about_ca_system_score_codex":0.00045648048,"about_ca_system_score_gemma":0.0021443523,"threshold_uncertainty_score":0.99987227},"labels":[],"label_agreement":null},{"id":"W2489210490","doi":"10.4018/978-1-4666-6170-7.ch018","title":"GPS Travel Diaries in Rural Transportation Research","year":2014,"lang":"en","type":"book-chapter","venue":"Advances in data mining and database management book series","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Global Positioning System; TRIPS architecture; Transport engineering; License; Exploratory research; Geography; Geographic information system; Assisted GPS; Unit (ring theory); Sample (material); Business; Computer science; Engineering; Psychology; Telecommunications; Cartography","score_opus":0.06581219663468368,"score_gpt":0.35969820135957215,"score_spread":0.29388600472488846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2489210490","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0033175712,0.03940832,0.0008015548,0.0011585857,0.00067213795,0.0017278759,0.0049083633,0.00013576567,0.94786984],"genre_scores_gemma":[0.0396132,0.3013971,0.008742737,0.00032543196,0.0006509971,0.00017846307,0.03092247,0.00012980231,0.6180398],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9972612,0.00010867007,0.0005744177,0.00086017966,0.00068024517,0.0005152638],"domain_scores_gemma":[0.9984638,0.00025837007,0.00015134108,0.000983603,0.00004529777,0.000097603435],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0021908805,0.00029502856,0.00043325778,0.00040676643,0.00039348603,0.00015587638,0.00094346225,0.00015341218,0.00028352469],"category_scores_gemma":[0.000057192858,0.0003084207,0.000030180572,0.00013271396,0.0013171557,0.0042869337,0.00021947613,0.00039355515,0.0000102991235],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040710045,0.00007007758,0.031305317,0.001433554,0.00005604208,0.00034020588,0.0073938887,0.0000043488712,0.0000012581254,0.7894107,0.0061485837,0.16342892],"study_design_scores_gemma":[0.0003959972,0.000030243375,0.0049630716,0.001005241,0.00004347917,1.3247592e-7,0.0073700882,0.000011556809,0.0000018700513,0.008236058,0.97754794,0.00039433688],"about_ca_topic_score_codex":0.0012842194,"about_ca_topic_score_gemma":0.18651949,"teacher_disagreement_score":0.97139937,"about_ca_system_score_codex":0.00006597591,"about_ca_system_score_gemma":0.00006828996,"threshold_uncertainty_score":0.99993676},"labels":[],"label_agreement":null},{"id":"W2492514635","doi":"10.1037/hea0000403","title":"Environmental and psychosocial correlates of objectively measured physical activity among older adults.","year":2016,"lang":"en","type":"article","venue":"Health Psychology","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research; Michael Smith Health Research BC","keywords":"Psychosocial; Built environment; Mediation; Psychology; Context (archaeology); Gerontology; Level design; Walkability; Social environment; Physical activity; Medicine; Geography; Ecology; Physical medicine and rehabilitation","score_opus":0.023051232026980374,"score_gpt":0.3542965924870664,"score_spread":0.331245360460086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2492514635","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940415,0.00010534,0.00014028714,0.0036845715,0.0003576411,0.0003388394,0.000032295837,0.000034217243,0.0012652847],"genre_scores_gemma":[0.9992862,0.00015217724,0.000023485114,0.00024171326,0.00016772687,0.000016010727,0.0000010246589,0.000008840316,0.00010285136],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99857956,0.00030628298,0.0001783841,0.00037416434,0.00021054756,0.0003510499],"domain_scores_gemma":[0.99936,0.00010718187,0.00019770913,0.00014802958,0.000017777082,0.0001692837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042120725,0.00010517818,0.00027044557,0.000037915834,0.00023673254,0.000004473209,0.00012348626,0.00013914061,0.00015794286],"category_scores_gemma":[0.00002453155,0.00008026833,0.00006404181,0.00008082354,0.001119216,0.00017101382,0.000011372884,0.00013358476,0.000013656696],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015598531,0.00046629529,0.9112489,0.00001578926,0.000012161224,6.4381766e-7,0.00910639,5.031678e-9,0.0003445698,0.00011594424,0.00026409677,0.07826918],"study_design_scores_gemma":[0.0009748552,0.00011372221,0.99719554,0.00003498073,0.0000056488548,2.1468175e-7,0.00028924338,7.058463e-7,0.00004443396,0.00075033255,0.00050346873,0.00008685642],"about_ca_topic_score_codex":0.00058735017,"about_ca_topic_score_gemma":0.0011744311,"teacher_disagreement_score":0.0859466,"about_ca_system_score_codex":0.000061486346,"about_ca_system_score_gemma":0.00007600571,"threshold_uncertainty_score":0.4123798},"labels":[],"label_agreement":null},{"id":"W2493379496","doi":"10.1108/9781780522012-010","title":"Field Survey Results","year":2011,"lang":"en","type":"book-chapter","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Car ownership; Sample (material); Business; Quarter (Canadian coin); Field survey; Transport engineering; Demographic economics; Public transport; Public economics; Geography; Economics; Engineering","score_opus":0.10218477515811894,"score_gpt":0.31148204039127164,"score_spread":0.2092972652331527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2493379496","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00012403383,0.0000956551,0.000035442317,0.00022135032,0.0004357997,0.00014459097,0.00010037604,0.00009915875,0.9987436],"genre_scores_gemma":[0.07872929,0.00011658341,0.00003470544,0.00021349391,0.0002569254,9.769013e-7,0.0000906671,0.000012150651,0.9205452],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989237,0.000032051903,0.0002742615,0.00031543057,0.00026255197,0.00019201376],"domain_scores_gemma":[0.9991459,0.00021984891,0.000110907116,0.00030394082,0.000111136585,0.00010822592],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00093339896,0.00014007514,0.0002040536,0.000038070684,0.00017245537,0.000033829052,0.00035339396,0.00043868294,0.012298681],"category_scores_gemma":[0.00011848044,0.000121526886,0.000110570196,0.000021045587,0.00016889557,0.00009148728,0.000020597792,0.00023328628,0.00041851355],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040687824,0.000052282918,0.04231167,0.00002703598,0.000087132605,0.00003254357,0.0043059965,1.2743173e-8,3.7532436e-7,0.7264496,0.20034751,0.025978958],"study_design_scores_gemma":[0.00010134875,0.000034575478,0.019406457,0.000020470978,0.000016928858,1.9263888e-8,0.000013733038,3.7652793e-8,0.000010535123,0.055140316,0.9249989,0.00025671706],"about_ca_topic_score_codex":0.041539162,"about_ca_topic_score_gemma":0.19384703,"teacher_disagreement_score":0.72465134,"about_ca_system_score_codex":0.000025530018,"about_ca_system_score_gemma":0.00017252746,"threshold_uncertainty_score":0.9886042},"labels":[],"label_agreement":null},{"id":"W2497652130","doi":"","title":"Safety and School Travel: How Does the Built Environment Relate to Correlates of Safety, Mode of Travel and Physical Activity Levels to and from School","year":2015,"lang":"en","type":"dissertation","venue":"TSpace (University of Toronto)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Transport Canada; Public Health Agency; Public Health Agency of Canada; Heart and Stroke Foundation of Canada","keywords":"Built environment; Travel behavior; Transport engineering; Physical activity; Mode (computer interface); Psychology; Applied psychology; Engineering; Medicine; Computer science; Civil engineering; Physical therapy; Human–computer interaction","score_opus":0.016187758789251768,"score_gpt":0.2712896675843799,"score_spread":0.2551019087951281,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2497652130","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99280185,0.0003530011,0.00027624634,0.0011963613,0.00007142035,0.0005739014,0.00042422113,0.000009042396,0.00429399],"genre_scores_gemma":[0.99384856,0.00064101623,0.00032311745,0.000004825854,0.00003293312,4.864783e-7,0.000025580926,0.000010567041,0.0051129083],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9987188,0.00012771269,0.00011893345,0.0004137225,0.0004328494,0.00018800875],"domain_scores_gemma":[0.998919,0.0001334639,0.00027659853,0.00025539155,0.00008436288,0.00033115593],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028983402,0.00020455156,0.0005670878,0.000036204503,0.00026782532,0.000019613159,0.0002965728,0.00023633157,0.0006105886],"category_scores_gemma":[0.000059930986,0.00017754108,0.000085501124,0.000059536644,0.00036844393,0.00047222103,0.000075570766,0.00020573783,0.0000015100551],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.007334745,0.00062809954,0.13516816,0.00046296188,0.0007500924,0.000008117781,0.7070613,0.00006370028,0.029596364,0.00077788666,0.00030468812,0.11784388],"study_design_scores_gemma":[0.0004985392,0.00009558057,0.9174646,0.00009897721,0.00021576208,4.384028e-8,0.080557376,0.00006328009,0.00038048055,0.00033279526,0.000106436564,0.00018614264],"about_ca_topic_score_codex":0.29772973,"about_ca_topic_score_gemma":0.3128918,"teacher_disagreement_score":0.7822964,"about_ca_system_score_codex":0.00019470231,"about_ca_system_score_gemma":0.0001654717,"threshold_uncertainty_score":0.7239915},"labels":[],"label_agreement":null},{"id":"W2499114194","doi":"10.4018/978-1-59140-042-4.ch014","title":"Using GIS to Unveil Distance Effects on Hospitalizations in Victoria","year":2003,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Socioeconomic status; Geographical distance; Geography; Health care; Capital city; Location; Medicine; Geographic information system; Distance decay; Demography; Medical emergency; Environmental health; Cartography; Economic growth; Economics; Economic geography; Population; Sociology","score_opus":0.02051045472439719,"score_gpt":0.2954299871405433,"score_spread":0.27491953241614614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2499114194","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011709442,0.00014458594,0.0004417831,0.00008794113,0.0013020792,0.0007283361,0.000097677614,0.000080375554,0.98540777],"genre_scores_gemma":[0.9551366,0.0000032318355,0.00030794795,0.0007422365,0.00044157036,0.000017157226,0.0000062700847,0.000036344474,0.04330863],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99824727,0.00004750849,0.00031797227,0.0005152157,0.00048589727,0.0003861109],"domain_scores_gemma":[0.9992028,0.000046045,0.00012401686,0.00033026238,0.00008353921,0.00021334711],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00018421334,0.00029333853,0.00036624132,0.00006650531,0.0002552328,0.00009759303,0.0003191707,0.0003562522,0.000050303475],"category_scores_gemma":[0.00005584452,0.00031142312,0.00013436431,0.000090411,0.0001398651,0.00006742904,0.000021375447,0.00018900455,0.000042066928],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015250164,0.000018216128,0.00917909,0.000030000074,0.000015230898,0.000036432968,0.0006527291,0.000009444606,0.0000032793814,0.98904514,0.0005362936,0.00045887666],"study_design_scores_gemma":[0.00057638745,0.00012760761,0.0078107137,0.0011456411,0.00010651409,3.2336743e-7,0.000070145776,0.000004211217,0.000054041113,0.67570424,0.31319046,0.0012096956],"about_ca_topic_score_codex":0.00143327,"about_ca_topic_score_gemma":0.015275823,"teacher_disagreement_score":0.94342715,"about_ca_system_score_codex":0.00089643983,"about_ca_system_score_gemma":0.00028283644,"threshold_uncertainty_score":0.9999338},"labels":[],"label_agreement":null},{"id":"W2500015325","doi":"10.4018/978-1-61350-156-6.ch011","title":"Bike Transportation System Design","year":2011,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Transport engineering; Public transport; Bike sharing; Sustainability; Focus (optics); Engineering; Computer science","score_opus":0.046983871920275484,"score_gpt":0.2693519090259919,"score_spread":0.2223680371057164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2500015325","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00034718472,0.00028795662,0.0023785084,0.000016084066,0.0007445959,0.0006737747,0.00020202965,0.00039480388,0.99495506],"genre_scores_gemma":[0.8630194,0.000005495812,0.00036105164,0.00006339639,0.00041546638,0.000018814677,0.000013574291,0.00003357913,0.13606922],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980529,0.000048758997,0.00046889702,0.00050165097,0.0005497481,0.00037803932],"domain_scores_gemma":[0.99898434,0.00002747792,0.00027334585,0.00033526847,0.00015183513,0.0002277276],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00038390764,0.00033108972,0.00042188444,0.00004582226,0.0003314832,0.0000692581,0.0004591528,0.00063260127,0.0002578872],"category_scores_gemma":[0.000004941563,0.0003296903,0.0002746349,0.000025030808,0.00030750997,0.00010244873,0.000005672394,0.00021374572,0.00022677665],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004316974,0.000007592144,0.00064496085,0.00006700598,0.00004681595,0.000057329013,0.0011073601,4.5974497e-7,0.0000013184153,0.99515617,0.0005657442,0.002302072],"study_design_scores_gemma":[0.0005693372,0.00011986748,0.004166239,0.0007391254,0.00063127873,0.0000015663046,0.00042318582,0.0000021503195,0.00005709323,0.85576624,0.13615553,0.0013683852],"about_ca_topic_score_codex":0.0037637027,"about_ca_topic_score_gemma":0.0078798905,"teacher_disagreement_score":0.8626722,"about_ca_system_score_codex":0.00036424198,"about_ca_system_score_gemma":0.0005205809,"threshold_uncertainty_score":0.99991554},"labels":[],"label_agreement":null},{"id":"W2503748671","doi":"10.4018/978-1-61520-769-5.ch001","title":"Data Collection on Personal Movement using Mobile ICTs","year":2010,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Wilfrid Laurier University; Université Laval","funders":"","keywords":"Data collection; Interpretation (philosophy); Data science; ICTS; The Internet; Mobile device; Data stream mining; Computer science; Data stream; World Wide Web; Information and Communications Technology; Telecommunications; Data mining; Sociology; Social science","score_opus":0.06531548461306987,"score_gpt":0.32665454191711407,"score_spread":0.2613390573040442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2503748671","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017676184,0.00012090254,0.000028009326,0.000036605583,0.0012698799,0.00065761764,0.00078266946,0.00010650321,0.9793216],"genre_scores_gemma":[0.65799725,0.000015796615,0.00073561945,0.0009697742,0.002537654,0.000025713203,0.00013827771,0.000065024935,0.3375149],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979221,0.000024821707,0.0002859993,0.00067064795,0.0007551192,0.00034127382],"domain_scores_gemma":[0.99891186,0.00002626192,0.00020032031,0.0005797791,0.00010171273,0.00018009079],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00034917516,0.00027828306,0.00029120757,0.00004434052,0.0006939963,0.00013853045,0.0006485004,0.00053379074,0.00055577164],"category_scores_gemma":[0.00001551739,0.00028092708,0.0001296646,0.000028499799,0.00033318106,0.00011255728,0.00010418565,0.000432853,0.000056325985],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023799714,0.00016851578,0.0035154605,0.000086671986,0.00025414862,0.000068012014,0.0024153735,0.0000029771295,0.00026093132,0.9700171,0.0060530985,0.016919753],"study_design_scores_gemma":[0.00053611933,0.00019649981,0.0011042578,0.00029776662,0.00029523904,0.0000014588056,0.00027528044,0.00012215946,0.00012277058,0.24954715,0.74637264,0.0011286264],"about_ca_topic_score_codex":0.0040332293,"about_ca_topic_score_gemma":0.021234242,"teacher_disagreement_score":0.74031955,"about_ca_system_score_codex":0.0005004673,"about_ca_system_score_gemma":0.0007490425,"threshold_uncertainty_score":0.9999643},"labels":[],"label_agreement":null},{"id":"W2504030936","doi":"10.1093/acprof:oso/9780199947195.003.0003","title":"Building Bridges to Current Mobility","year":2015,"lang":"en","type":"book-chapter","venue":"Oxford University Press eBooks","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Current (fluid); Geography; Computer science; Engineering; Electrical engineering","score_opus":0.06857383356417061,"score_gpt":0.2970656346389315,"score_spread":0.22849180107476086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2504030936","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0034336075,0.0002474058,0.00065087737,0.000057032128,0.0005784608,0.0006992893,0.00020270553,0.00021454084,0.9939161],"genre_scores_gemma":[0.022030314,0.00009647072,0.00030628033,0.000023574823,0.0003754645,0.0000012177434,0.000018830779,0.000028123854,0.97711974],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99806166,0.000059976494,0.0002105726,0.0006398331,0.0006182,0.0004097778],"domain_scores_gemma":[0.9984652,0.000053969048,0.0001638915,0.0004943029,0.00031083424,0.00051180786],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00049280724,0.00029719912,0.00039159058,0.00012836012,0.00046865328,0.00007724228,0.0009021235,0.0003220904,0.00010798575],"category_scores_gemma":[0.000025977039,0.00034915758,0.00022449988,0.000017263153,0.00042112678,0.00018081177,0.00025031305,0.00044149242,0.0000034239251],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001134875,0.00003909043,0.00060359854,0.00009147879,0.000048141046,0.000034652236,0.0018462086,0.000007871898,0.00000216248,0.9596182,0.004762531,0.032832555],"study_design_scores_gemma":[0.00018538655,0.00002516193,0.00027546173,0.00012790642,0.00010183336,9.334973e-8,0.00009869931,0.000002424044,0.000011911682,0.004056553,0.99472624,0.00038831565],"about_ca_topic_score_codex":0.001600012,"about_ca_topic_score_gemma":0.0017710953,"teacher_disagreement_score":0.9899637,"about_ca_system_score_codex":0.0005983661,"about_ca_system_score_gemma":0.00043237672,"threshold_uncertainty_score":0.99989605},"labels":[],"label_agreement":null},{"id":"W2507427216","doi":"10.1016/j.aap.2016.08.010","title":"Evaluating the impact of bike network indicators on cyclist safety using macro-level collision prediction models","year":2016,"lang":"en","type":"article","venue":"Accident Analysis & Prevention","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":59,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Macro; Collision; Poison control; Transport engineering; Bayesian network; Population; Computer science; Regression analysis; Engineering; Computer security; Machine learning; Environmental health","score_opus":0.11745262074576321,"score_gpt":0.4378611216219746,"score_spread":0.3204085008762114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2507427216","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95718974,0.000084312225,0.041598454,0.00008959343,0.00011484794,0.0004005985,0.000007765422,0.00003502746,0.0004796501],"genre_scores_gemma":[0.9989009,0.000098932855,0.00030951021,0.0000072843936,0.00022603637,0.0000111954605,0.000044492233,0.000009689808,0.00039197077],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997101,0.000681127,0.00069270184,0.000360384,0.0008541816,0.00031061916],"domain_scores_gemma":[0.9984303,0.00023238151,0.0007037094,0.00039108272,0.00015950357,0.00008302476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003986877,0.00015051765,0.00031068356,0.0002719105,0.00078079954,0.000068532,0.00035530902,0.00012496472,0.00047111008],"category_scores_gemma":[0.00013287403,0.000087046305,0.00073777133,0.0022144986,0.00014440647,0.0007202121,0.00004148431,0.000101334095,0.0000039922043],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000115571536,0.00008636134,0.91018486,8.6781057e-7,0.00049128983,2.1301243e-7,0.000612645,0.07530244,0.00033330783,0.00023454246,0.00003801056,0.012599904],"study_design_scores_gemma":[0.0003185513,0.000098219825,0.96962684,0.00010051059,0.001229086,4.7955023e-8,0.0001476055,0.020387474,0.00011650974,0.007856862,0.0000068616196,0.00011144004],"about_ca_topic_score_codex":0.004822028,"about_ca_topic_score_gemma":0.009197419,"teacher_disagreement_score":0.05944198,"about_ca_system_score_codex":0.00043298284,"about_ca_system_score_gemma":0.00019289035,"threshold_uncertainty_score":0.72894955},"labels":[],"label_agreement":null},{"id":"W2507993474","doi":"10.1038/536391a","title":"Expand the frontiers of urban sustainability","year":2016,"lang":"en","type":"article","venue":"Nature","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":184,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Sustainability; Environmental planning; Geography; Environmental ethics; Biology; Ecology; Philosophy","score_opus":0.005900238771224452,"score_gpt":0.28201097957819277,"score_spread":0.2761107408069683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2507993474","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9766178,0.0016332236,0.00015085416,0.01373594,0.0004229585,0.00020422005,0.000011839574,0.000030420613,0.0071927025],"genre_scores_gemma":[0.99626154,0.0000135039545,0.000035904082,0.00012451941,0.00015285128,0.0000034494865,5.3932496e-7,0.0000026652535,0.0034050567],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999288,0.00007982714,0.00009984479,0.0001306699,0.00023882101,0.0001628306],"domain_scores_gemma":[0.99944437,0.00008167336,0.000049404556,0.00021218348,0.00017062559,0.00004172548],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005497035,0.000048154867,0.00008541333,0.000014596267,0.00017802537,0.000011152245,0.00030965064,0.00039396712,0.00010649755],"category_scores_gemma":[0.00034828563,0.000022192078,0.00006647584,0.00016306817,0.0005048109,0.00014647606,0.000011647938,0.00032988313,0.0000011721321],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020265028,0.000023465142,0.95222586,0.0000062602235,0.0000065973636,5.9364567e-7,0.0032396233,4.0528366e-8,0.0000397071,0.0053045093,0.03432316,0.004809907],"study_design_scores_gemma":[0.00020041414,0.000011697629,0.7066073,0.0000072461057,0.000013405945,2.0065277e-8,0.0040311716,3.3713232e-7,0.0005856359,0.026909243,0.26155645,0.0000771312],"about_ca_topic_score_codex":0.00027596246,"about_ca_topic_score_gemma":0.00073189376,"teacher_disagreement_score":0.24561861,"about_ca_system_score_codex":0.00007100895,"about_ca_system_score_gemma":0.0001734524,"threshold_uncertainty_score":0.30386353},"labels":[],"label_agreement":null},{"id":"W2508524386","doi":"10.1186/s12889-016-3603-y","title":"Neighbourhood walkability and home neighbourhood-based physical activity: an observational study of adults with type 2 diabetes","year":2016,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Montréal; Concordia University; Hôpital du Sacré-Cœur de Montréal; St Mary's Hospital Centre; Montreal Clinical Research Institute; McGill University Health Centre; Jewish General Hospital; Montreal General Hospital; Centre Hospitalier de l’Université de Montréal; McGill University","funders":"Canadian Institutes of Health Research; Canada Research Chairs; Fonds de Recherche du Québec-Société et Culture; Heart And Stroke Foundation Of Quebec; Yale University; Heart and Stroke Foundation of Canada","keywords":"Walkability; Neighbourhood (mathematics); Medicine; Built environment; Demography; Cross-sectional study; Public health; Environmental health; Gerontology; Physical activity; Physical therapy","score_opus":0.11404544859448845,"score_gpt":0.3584620084328566,"score_spread":0.24441655983836813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2508524386","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99563307,0.000016875265,0.000135149,0.0031477378,0.00006837074,0.00069474283,0.000038656082,0.00008241494,0.00018299567],"genre_scores_gemma":[0.9994303,0.000002897933,0.0002357652,0.000099520425,0.00016054152,0.000027595755,0.0000091706315,0.00001254667,0.000021645521],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99771506,0.0004461753,0.0002521795,0.00048462418,0.0005965585,0.00050543004],"domain_scores_gemma":[0.9982666,0.00040395057,0.00022616865,0.00032238135,0.0003165469,0.00046438928],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013873188,0.00015137407,0.0003670268,0.000067766596,0.00033888256,0.00006954668,0.0002487033,0.000062998,0.00013566797],"category_scores_gemma":[0.00022109154,0.000097158685,0.00003788722,0.0005218655,0.00034215226,0.0010159992,0.000021874414,0.000107973814,0.0000015943211],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009715747,0.003168602,0.9677707,0.00007093382,0.000011286454,1.7019e-7,0.0035171153,4.103204e-7,0.000034574263,0.0007159693,0.000007089374,0.024606017],"study_design_scores_gemma":[0.0013858253,0.0013544726,0.99508756,0.000027497237,0.0000074695404,2.3161233e-8,0.001401977,0.00009962756,0.000016593556,0.0004122898,0.00006881215,0.00013784651],"about_ca_topic_score_codex":0.0043068253,"about_ca_topic_score_gemma":0.019373547,"teacher_disagreement_score":0.02731689,"about_ca_system_score_codex":0.00014818985,"about_ca_system_score_gemma":0.0021234355,"threshold_uncertainty_score":0.9985203},"labels":[],"label_agreement":null},{"id":"W2508824462","doi":"10.1007/s10109-016-0238-6","title":"Spatial representation in the social interaction potential metric: an analysis of scale and parameter sensitivity","year":2016,"lang":"en","type":"article","venue":"Journal of Geographical Systems","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"National Science Foundation","keywords":"Metric (unit); Metropolitan area; Representation (politics); Scale (ratio); Computer science; Intersection (aeronautics); Sensitivity (control systems); Geography; Cartography; Engineering; Operations management","score_opus":0.023234506712971885,"score_gpt":0.3328489424334439,"score_spread":0.309614435720472,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2508824462","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940476,0.00004022445,0.0048585893,0.0006553106,0.00023682382,0.000098775985,0.0000074913564,0.000003361461,0.00005181351],"genre_scores_gemma":[0.99964166,0.00002548095,0.000017391703,0.000010531382,0.00029675287,0.0000012010223,0.0000013287312,0.0000020280304,0.0000036481172],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975575,0.0011292826,0.00050404394,0.00012095736,0.0005653614,0.00012285676],"domain_scores_gemma":[0.99877745,0.0004204056,0.0004624046,0.000080443904,0.00020029314,0.000059024238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030328936,0.00005812576,0.00030562194,0.00047828953,0.0001359594,0.0000717266,0.00011108868,0.00009381979,0.000015068719],"category_scores_gemma":[0.00016105671,0.00003147298,0.00023307618,0.0012018757,0.0002463403,0.00047524128,0.0000074668883,0.0001285277,1.256175e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010408307,0.00011851022,0.98999286,0.000004897665,0.000117028154,0.000008192797,0.0020701564,0.000020280442,0.0007480029,0.00006735729,0.0000048621123,0.0067437952],"study_design_scores_gemma":[0.00023903517,0.00006131222,0.99499756,0.000016739827,0.00031253186,0.000002441983,0.003573998,0.00054392504,0.00002548438,0.00014706257,0.000035807472,0.000044089044],"about_ca_topic_score_codex":0.01887731,"about_ca_topic_score_gemma":0.016307006,"teacher_disagreement_score":0.0066997064,"about_ca_system_score_codex":0.000027183873,"about_ca_system_score_gemma":0.000022903987,"threshold_uncertainty_score":0.98765606},"labels":[],"label_agreement":null},{"id":"W2511823257","doi":"","title":"Characterising Transit Oriented Development in the Paris metropolitan region: what type of TOD are they?","year":2015,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transit-oriented development; Metropolitan area; Geospatial analysis; Geography; Regional science; Public transport; Transit (satellite); Transport engineering; Land use; Urban planning; Environmental planning; Built environment; Business; Civil engineering; Engineering; Cartography; Archaeology","score_opus":0.04734754928683166,"score_gpt":0.29098956530235126,"score_spread":0.2436420160155196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2511823257","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95880103,0.0023663512,0.0034725622,0.012527228,0.0004162792,0.00065970526,0.000014906846,0.00008572394,0.021656228],"genre_scores_gemma":[0.99545056,0.0009365183,0.0022256034,0.000073709205,0.000033600005,0.000029537949,0.00019174592,0.000018434042,0.00104032],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9925765,0.0051808795,0.0006546726,0.00052992033,0.0007071628,0.00035085797],"domain_scores_gemma":[0.99534816,0.00054107816,0.00061786023,0.001254285,0.0021083253,0.00013028318],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009451737,0.00023544318,0.0004142603,0.00015035563,0.00039383484,0.00037764836,0.0013796955,0.00027801018,0.00006342232],"category_scores_gemma":[0.0006591841,0.0001998017,0.00013837795,0.00061042374,0.00038904443,0.00036944507,0.00021252199,0.000556214,0.0000062543604],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008562963,0.0015714758,0.29506743,0.0003807657,0.00012803407,0.000026650869,0.63173366,0.000011079644,0.00015123519,0.035680916,0.00051869976,0.034644436],"study_design_scores_gemma":[0.0018834472,0.000002577814,0.6781402,0.012512431,0.00025884915,0.0000049008827,0.12158305,0.0004206613,0.012202559,0.019739999,0.15130313,0.0019481943],"about_ca_topic_score_codex":0.009824698,"about_ca_topic_score_gemma":0.05013311,"teacher_disagreement_score":0.5101506,"about_ca_system_score_codex":0.00038360164,"about_ca_system_score_gemma":0.0008337711,"threshold_uncertainty_score":0.99676895},"labels":[],"label_agreement":null},{"id":"W2512689198","doi":"","title":"Going Global - Expanding Capacity to Analyse Time Use Data.","year":2011,"lang":"en","type":"article","venue":"PubMed","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"China; Tanzania; Geography; Political science; Middle East; Socioeconomics; Economic growth; Sociology; Law","score_opus":0.20418950304613673,"score_gpt":0.31654566941896384,"score_spread":0.11235616637282711,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2512689198","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.964358,0.000014951281,0.00020874296,0.000089718334,0.0001864293,0.00034514916,0.00008656723,0.00010890596,0.034601554],"genre_scores_gemma":[0.99812806,0.0000014679016,0.0008176583,0.00013281053,0.00015129041,0.000054667427,0.000012699162,0.0000043782725,0.0006969585],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998717,0.000075322845,0.00016801592,0.0003375973,0.00024892282,0.00045314213],"domain_scores_gemma":[0.9991475,0.000034330933,0.00004954305,0.00042714796,0.000037576454,0.00030395412],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095969735,0.000081454,0.00013318856,0.00003251775,0.00025616414,0.000116957825,0.0006022106,0.00005645459,0.00021775933],"category_scores_gemma":[0.0003267705,0.00007690957,0.00004245801,0.00046248335,0.000116984935,0.0010997271,0.00008177434,0.000060749757,0.00009257701],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015195968,0.000040223676,0.9891572,0.000002422821,0.000014390781,0.000004091358,0.0019445866,1.7026476e-7,0.000005123449,0.00025828351,0.0006790106,0.007879297],"study_design_scores_gemma":[0.000071309114,0.0000021813687,0.99514115,0.0000025817412,0.00002916092,7.050492e-8,0.000115029994,0.0000067602728,0.00006569455,0.0007099044,0.003741316,0.000114849834],"about_ca_topic_score_codex":0.012860764,"about_ca_topic_score_gemma":0.013821224,"teacher_disagreement_score":0.033904593,"about_ca_system_score_codex":0.00012696795,"about_ca_system_score_gemma":0.00003519335,"threshold_uncertainty_score":0.99371266},"labels":[],"label_agreement":null},{"id":"W2513793406","doi":"","title":"Divergent affordability: Transit access and housing in North American cities","year":2014,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transit (satellite); Geography; Regional science; Affordable housing; Economic geography; Political science; Transport engineering; Economic growth; Business; Public transport; Economics; Engineering","score_opus":0.015801580434596077,"score_gpt":0.24374926667215674,"score_spread":0.22794768623756068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2513793406","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979437,0.00005149459,0.000008060319,0.00044870694,0.00016402587,0.00028053447,0.000032593343,0.000044338645,0.0010265737],"genre_scores_gemma":[0.97893655,0.0002601362,0.00010538133,0.000012183324,0.000035775472,3.817856e-7,0.0001451692,0.000011658414,0.020492772],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986847,0.00012621371,0.00014648808,0.0003996645,0.00033417784,0.0003087241],"domain_scores_gemma":[0.99932367,0.00004425049,0.00022038024,0.0001873581,0.0001032622,0.00012111239],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002683207,0.00018388244,0.00047093554,0.000226103,0.00039682077,0.000055553275,0.00046762408,0.00013274713,0.00012407124],"category_scores_gemma":[0.000012626384,0.00021734435,0.00011521561,0.000444818,0.00064149464,0.00047740163,0.000032746877,0.00020966602,0.0000022091701],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011956176,0.00004525446,0.7552076,0.00021147182,0.000022616146,0.000008506442,0.23783809,0.000007570915,0.000010876166,0.000050291215,0.000028289443,0.0064498633],"study_design_scores_gemma":[0.00022507063,0.00003314582,0.80773807,0.00005376616,0.000072047,1.8455436e-8,0.19110994,0.000010285666,0.000027528662,0.00013103026,0.0003812495,0.00021785503],"about_ca_topic_score_codex":0.5537116,"about_ca_topic_score_gemma":0.9885165,"teacher_disagreement_score":0.4348049,"about_ca_system_score_codex":0.00010003001,"about_ca_system_score_gemma":0.00013616853,"threshold_uncertainty_score":0.88630456},"labels":[],"label_agreement":null},{"id":"W2513839915","doi":"10.14866/ajg.2006s.0.7.0","title":"A Study of the Policy for Sustainable Metropolitan Development and the Spatial Structure of Livable City in Vancouver, Canada and Melbourne, Australia","year":2006,"lang":"en","type":"article","venue":"The American Journal of Gastroenterology","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Medicine; Regional science; Sustainable development; Environmental planning; Economic growth; Socioeconomics; Economic geography; Geography; Sociology; Political science","score_opus":0.008919829603811406,"score_gpt":0.26939686736398527,"score_spread":0.2604770377601739,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2513839915","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986852,0.00002293465,0.000043880795,0.00085748994,0.00007373841,0.0002886027,0.000005582359,7.168521e-7,0.000021882783],"genre_scores_gemma":[0.9996242,0.0000031438567,0.00010278464,0.00008498901,0.00007567208,0.0000021434785,1.377628e-7,0.0000033616259,0.000103581355],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99854237,0.0004094253,0.00044278166,0.000084102016,0.00023091877,0.00029039147],"domain_scores_gemma":[0.9988289,0.00013547357,0.00072600984,0.00011043781,0.00015903744,0.000040169678],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008162237,0.000082905346,0.00040037095,0.000059823422,0.00019629532,0.000010979896,0.00034906235,0.0000149241705,0.000005116713],"category_scores_gemma":[0.000083918276,0.000040687875,0.00004116554,0.00020170643,0.0012094416,0.000060724542,0.00004659679,0.0001524864,1.8344907e-9],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016092792,0.00007227255,0.993879,0.000008673667,0.000050372153,0.000002711562,0.0036585743,0.000033898097,0.000013045545,0.00043298633,0.00015007172,0.00008908759],"study_design_scores_gemma":[0.0015627539,0.00074461394,0.9558443,0.000006652165,0.00004672709,0.0000033262536,0.039316326,0.0000019369065,0.00007206702,0.0022490202,0.00012395717,0.000028326904],"about_ca_topic_score_codex":0.9289358,"about_ca_topic_score_gemma":0.98961765,"teacher_disagreement_score":0.060681794,"about_ca_system_score_codex":0.00018807287,"about_ca_system_score_gemma":0.0005097124,"threshold_uncertainty_score":0.4456238},"labels":[],"label_agreement":null},{"id":"W2516735272","doi":"10.1016/j.socscimed.2016.08.010","title":"InterACTIVE Interpreted Interviews (I3): A multi-lingual, mobile method to examine the neighbourhood environment with older adults","year":2016,"lang":"en","type":"article","venue":"Social Science & Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; British Columbia Centre of Excellence for Women's Health","funders":"Canadian Institutes of Health Research; Vancouver Foundation","keywords":"Neighbourhood (mathematics); Interview; Qualitative research; Population; Psychology; Semi-structured interview; Participant observation; Sociology; Social psychology; Gerontology; Medicine; Social science","score_opus":0.024330086547122202,"score_gpt":0.36336458733556154,"score_spread":0.33903450078843933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2516735272","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9340854,0.00018073522,0.046892043,0.010427445,0.0005521855,0.001712499,0.000014730831,0.000096771706,0.006038152],"genre_scores_gemma":[0.9970638,0.000020270678,0.00047479343,0.001010501,0.0005883918,0.00016768536,0.0000016166156,0.000014262456,0.0006586433],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9967644,0.00034735224,0.0004087759,0.00071886735,0.0010896944,0.0006709138],"domain_scores_gemma":[0.9985795,0.00034784156,0.00022157123,0.000328238,0.00018564121,0.00033720597],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003449608,0.00023144919,0.00035845183,0.00012182704,0.001051559,0.000062199295,0.0011564925,0.000076480675,0.0018699304],"category_scores_gemma":[0.0004116393,0.00010565361,0.00007894487,0.0009599491,0.003300912,0.00054551684,0.00011535433,0.00021778545,0.000039931612],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001907047,0.00021030691,0.015207829,0.000009553085,0.000023984605,0.00000767687,0.5122886,8.677363e-7,0.0033732748,0.00025041704,0.00023167,0.46820512],"study_design_scores_gemma":[0.009592956,0.0029145365,0.5232113,0.003259664,0.00034085885,0.0000055286273,0.3779912,0.00020670096,0.009223313,0.0010316803,0.07035425,0.0018680197],"about_ca_topic_score_codex":0.0036174646,"about_ca_topic_score_gemma":0.0026790763,"teacher_disagreement_score":0.5080035,"about_ca_system_score_codex":0.00042863394,"about_ca_system_score_gemma":0.0002536084,"threshold_uncertainty_score":0.9994115},"labels":[],"label_agreement":null},{"id":"W2516932084","doi":"10.1016/j.socscimed.2016.08.031","title":"Local descriptive norms for overweight/obesity and physical inactivity, features of the built environment, and 10-year change in glycosylated haemoglobin in an Australian population-based biomedical cohort","year":2016,"lang":"en","type":"article","venue":"Social Science & Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Douglas Mental Health University Institute","funders":"National Health and Medical Research Council","keywords":"Overweight; Descriptive statistics; Demography; Obesity; Population; Built environment; Cohort; Body mass index; Medicine; Gerontology; Environmental health; Statistics; Mathematics; Sociology","score_opus":0.03136176335679574,"score_gpt":0.32561255608921374,"score_spread":0.294250792732418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2516932084","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99600136,0.00001444283,0.00005660681,0.0031790466,0.000079208905,0.0005277518,0.00002601688,0.000008916495,0.00010663495],"genre_scores_gemma":[0.99969804,0.000006081711,0.000010821955,0.000051122843,0.0001696669,0.000020834888,0.0000051123657,0.00000381718,0.000034489458],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99844503,0.000107181644,0.00017838327,0.00034485423,0.0006031591,0.00032136549],"domain_scores_gemma":[0.99951655,0.00010455964,0.000098020064,0.000101016456,0.000037126923,0.00014270449],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0010396484,0.0001016367,0.00025287224,0.00009044814,0.000338106,0.000014272677,0.00025122022,0.00010409405,0.000059955626],"category_scores_gemma":[0.00017011802,0.000058506415,0.000028050143,0.00057470036,0.004943063,0.00044952478,0.000031662712,0.00010403091,1.8907836e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005581538,0.00013435559,0.9792649,0.000009126294,0.0000015992798,8.546938e-7,0.010335705,6.742892e-8,0.002245218,0.00054980494,0.00001703266,0.0073854965],"study_design_scores_gemma":[0.0007953627,0.000110548775,0.9949463,0.00005818209,0.000012568755,5.8513017e-8,0.0011307899,0.000030758394,0.0004677599,0.002295501,0.000069808906,0.00008233965],"about_ca_topic_score_codex":0.024813505,"about_ca_topic_score_gemma":0.021809509,"teacher_disagreement_score":0.015681397,"about_ca_system_score_codex":0.00027581336,"about_ca_system_score_gemma":0.00013680325,"threshold_uncertainty_score":0.9977649},"labels":[],"label_agreement":null},{"id":"W2518051279","doi":"10.15760/trec.143","title":"Connecting People to Places: Spatiotemporal Analysis of Transit Supply Using Travel-Time Cubes","year":2016,"lang":"en","type":"report","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"National Institute for Transportation and Communities","keywords":"Transit (satellite); Travel time; Computer science; Transit time; Transport engineering; Geography; Business; Engineering; Public transport","score_opus":0.05254210541109886,"score_gpt":0.3547072392298853,"score_spread":0.3021651338187864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2518051279","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92067486,0.00014733273,0.006965552,0.0003553438,0.00037250976,0.0005595694,0.0005238049,0.00010030967,0.070300706],"genre_scores_gemma":[0.9924681,0.0000623256,0.0009101015,0.000020475358,0.00034240683,0.0000058837327,0.00015335903,0.00003149393,0.0060058422],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99622476,0.00016254174,0.0009977915,0.00068479264,0.0014256425,0.0005044442],"domain_scores_gemma":[0.99784374,0.00031435155,0.0005076092,0.00040479787,0.0006796317,0.00024985312],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00227953,0.00031876963,0.0014192137,0.00066107727,0.00037166767,0.000087870816,0.00049377105,0.00045039746,0.009299059],"category_scores_gemma":[0.00026159603,0.00025582928,0.00073679833,0.0018447788,0.00009245941,0.00029483976,0.00002399775,0.00017571647,0.000014968703],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012809031,0.0003969289,0.93700653,0.00047302715,0.0041022105,0.00002167215,0.04592177,0.0009463593,0.002036044,0.00015806274,0.0012468348,0.0075624916],"study_design_scores_gemma":[0.002163258,0.00053416216,0.83054596,0.0022401968,0.035049003,0.0000041762814,0.03879844,0.006517228,0.0073796823,0.0007455877,0.06924083,0.006781494],"about_ca_topic_score_codex":0.16913107,"about_ca_topic_score_gemma":0.42118445,"teacher_disagreement_score":0.25205338,"about_ca_system_score_codex":0.0003410442,"about_ca_system_score_gemma":0.002043711,"threshold_uncertainty_score":0.9999894},"labels":[],"label_agreement":null},{"id":"W2519479204","doi":"10.1016/j.socscimed.2016.08.044","title":"“Benches become like porches”: Built and social environment influences on older adults’ experiences of mobility and well-being","year":2016,"lang":"en","type":"article","venue":"Social Science & Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":173,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Simon Fraser University; British Columbia Centre of Excellence for Women's Health","funders":"","keywords":"Neighbourhood (mathematics); Social capital; Gerontology; Affect (linguistics); Social mobility; Older people; Cohesion (chemistry); Sociology; Psychology; Medicine","score_opus":0.01550286491831946,"score_gpt":0.29842827059887045,"score_spread":0.28292540568055097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2519479204","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99089617,0.00018421364,0.000016898919,0.0038519548,0.00023912884,0.0002901832,0.000002685541,0.000032810676,0.0044859494],"genre_scores_gemma":[0.9991136,0.000100866135,0.000015606109,0.00023074805,0.0003825767,0.000027419015,7.210297e-7,0.0000052000437,0.00012321769],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.997162,0.00011775552,0.0004027911,0.00062881614,0.0011822237,0.0005064477],"domain_scores_gemma":[0.9991405,0.00022286564,0.00021526987,0.0001387831,0.00008287608,0.00019968042],"candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0023306375,0.00017865778,0.0003533197,0.00010430508,0.0015188003,0.00003720662,0.00045236037,0.00012182438,0.0004604048],"category_scores_gemma":[0.00018915202,0.00011366136,0.00004917413,0.00039965622,0.016706234,0.0006137065,0.00006912413,0.00011736661,0.0000023583302],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037154212,0.00008169328,0.3567773,0.000028505627,0.0000051596194,0.0000014626658,0.61781836,2.890614e-8,0.0014557769,0.002309559,0.0000362407,0.02144876],"study_design_scores_gemma":[0.0007110948,0.00016634086,0.8402777,0.00013639979,0.000023292007,2.0533334e-7,0.15103279,0.0000017444456,0.0008699232,0.00570779,0.00083999726,0.00023274701],"about_ca_topic_score_codex":0.001605483,"about_ca_topic_score_gemma":0.00027209008,"teacher_disagreement_score":0.48350036,"about_ca_system_score_codex":0.000119780816,"about_ca_system_score_gemma":0.0001700206,"threshold_uncertainty_score":0.9997811},"labels":[],"label_agreement":null},{"id":"W2520429383","doi":"10.17863/cam.810","title":"Greenhouse gas from ridership on the Jubilee Line Extension","year":2016,"lang":"en","type":"article","venue":"Apollo (University of Cambridge)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Commonwealth Scholarship Commission","keywords":"Greenhouse gas; Mode (computer interface); Mode choice; Line (geometry); Greenhouse; Extension (predicate logic); Survey data collection; Environmental science; Transport engineering; Geography; Agricultural economics; Economics; Public transport; Engineering; Mathematics; Computer science; Statistics; Geology","score_opus":0.03542391451788443,"score_gpt":0.23720997516748993,"score_spread":0.2017860606496055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2520429383","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97099596,0.0000484977,0.0007223035,0.016162472,0.00015697572,0.00015637286,0.000058834605,0.00007115852,0.011627423],"genre_scores_gemma":[0.98977566,0.00012281789,0.00005914568,0.00015952405,0.0001341804,1.3360432e-7,0.000004302339,0.0000068808363,0.009737338],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988836,0.00014353191,0.0000987072,0.0002689515,0.0003736538,0.00023155335],"domain_scores_gemma":[0.9989013,0.0004011815,0.00011383959,0.00037739068,0.000096300035,0.000109989],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004127184,0.00009650279,0.00016453442,0.000047596677,0.00050526863,0.000013179464,0.000491322,0.00009219674,0.0008894266],"category_scores_gemma":[0.00009245458,0.00006722887,0.00014374203,0.00019628044,0.00064121606,0.00027426862,0.000040098144,0.00009528206,0.00015232585],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018726749,0.0011972676,0.53379,0.000043938955,0.0003540745,0.00017138358,0.02853993,0.000005135608,0.01973049,0.08928468,0.13179843,0.19321202],"study_design_scores_gemma":[0.0017639283,0.00024651375,0.88174284,0.0002151931,0.00014506033,1.6870936e-7,0.012251421,0.000026402771,0.003039215,0.0043363967,0.09577687,0.00045599212],"about_ca_topic_score_codex":0.024025744,"about_ca_topic_score_gemma":0.012596175,"teacher_disagreement_score":0.34795287,"about_ca_system_score_codex":0.00006184389,"about_ca_system_score_gemma":0.00009538825,"threshold_uncertainty_score":0.9824734},"labels":[],"label_agreement":null},{"id":"W2521578301","doi":"10.1016/j.retrec.2016.07.027","title":"Riding tandem: Does cycling infrastructure investment mirror gentrification and privilege in Portland, OR and Chicago, IL?","year":2016,"lang":"en","type":"article","venue":"Research in Transportation Economics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":101,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; McGill University","funders":"","keywords":"Investment (military); Cycling; Gentrification; Privilege (computing); Walkability; Business; Socioeconomic status; Population; Economic growth; Economics; Built environment; Geography; Environmental health; Engineering; Computer security; Civil engineering; Political science","score_opus":0.06682692022406804,"score_gpt":0.3632216167204136,"score_spread":0.29639469649634553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2521578301","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99707365,0.00008048479,0.00004094926,0.0018795496,0.00006448754,0.0004940047,0.00004899221,0.000016452293,0.00030140867],"genre_scores_gemma":[0.99670696,0.0027099315,0.00032704332,0.000037537025,0.000042651976,0.0000411941,0.000024540188,0.000009786961,0.0001003509],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99852526,0.0001246284,0.0004339281,0.00038810656,0.0001643258,0.00036374532],"domain_scores_gemma":[0.9993229,0.00026542996,0.000086578824,0.00012283414,0.000046884146,0.00015535204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018577882,0.00009868746,0.00017641012,0.00025657864,0.00019096702,0.00006636193,0.00013166181,0.00013461281,0.000116769945],"category_scores_gemma":[0.0000698856,0.00006700694,0.000020467438,0.00024226766,0.00036089434,0.0005961577,0.000004843871,0.00019005824,0.0000018719945],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007804918,0.000030135881,0.98488003,0.000033764958,0.0000053147396,0.0000065852682,0.0046592294,0.000005865527,0.0003645086,0.0053293556,0.0000033400074,0.0046038046],"study_design_scores_gemma":[0.000814537,0.000022866627,0.9778993,0.000068742134,0.0000036972901,1.5617572e-7,0.0015092603,0.000055337507,0.00033284075,0.017032625,0.002146661,0.000113933966],"about_ca_topic_score_codex":0.0017012659,"about_ca_topic_score_gemma":0.0966746,"teacher_disagreement_score":0.09497333,"about_ca_system_score_codex":0.00020203277,"about_ca_system_score_gemma":0.0002553286,"threshold_uncertainty_score":0.91980875},"labels":[],"label_agreement":null},{"id":"W2521723155","doi":"10.1016/j.retrec.2016.05.011","title":"Transportation costs and urban sprawl in Canadian metropolitan areas","year":2016,"lang":"en","type":"article","venue":"Research in Transportation Economics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; Université du Québec à Montréal","funders":"","keywords":"Urban sprawl; Metropolitan area; Transport engineering; Environmental planning; Business; Geography; Urban planning; Engineering; Civil engineering","score_opus":0.053210462727959,"score_gpt":0.3595307000526648,"score_spread":0.3063202373247058,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2521723155","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98933214,0.00014852968,0.000019509678,0.0041767494,0.00008525629,0.00045501185,0.00021106304,0.000019859122,0.0055518844],"genre_scores_gemma":[0.99864227,0.0008023304,0.000067502,0.000042298238,0.00006550125,0.00004814509,0.00007601211,0.000015953798,0.00023998186],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99786747,0.000176423,0.00048561514,0.00042477596,0.00021824594,0.00082745077],"domain_scores_gemma":[0.9989369,0.00023672149,0.00005468004,0.00016418281,0.00010235168,0.00050518656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024118226,0.000117422926,0.00020700655,0.0007351598,0.0002169336,0.000059145957,0.00022204148,0.00016808501,0.00028467708],"category_scores_gemma":[0.000056979177,0.00011267571,0.000044022574,0.00055503944,0.00057793094,0.0007971577,8.509194e-7,0.00021720256,0.000014521576],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037872895,0.00003448944,0.9328968,0.000014781457,0.0000046796927,0.00001819452,0.0028264537,0.000004505671,0.00001912295,0.059146002,0.000023564111,0.004973537],"study_design_scores_gemma":[0.0006615497,0.000021276779,0.9806482,0.00005682563,0.0000034642637,3.8182108e-8,0.0029202276,0.0000125188535,0.00007672947,0.006537556,0.008910811,0.00015075339],"about_ca_topic_score_codex":0.76848114,"about_ca_topic_score_gemma":0.9972217,"teacher_disagreement_score":0.22874057,"about_ca_system_score_codex":0.0021692466,"about_ca_system_score_gemma":0.0011013565,"threshold_uncertainty_score":0.56725043},"labels":[],"label_agreement":null},{"id":"W2521975389","doi":"10.1136/bmjopen-2016-011617","title":"Cost-effectiveness of investing in sidewalks as a means of increasing physical activity: a RESIDE modelling study","year":2016,"lang":"en","type":"article","venue":"BMJ Open","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"National Health and Medical Research Council; Canadian Institutes of Health Research; Fondation pour la Recherche Médicale; Public Health Agency; Public Health Agency of Canada","keywords":"Walkability; Neighbourhood (mathematics); Built environment; Psychological intervention; Level design; Cost effectiveness; Population health; Environmental health; Gerontology; Population; Medicine; Poison control; Engineering; Risk analysis (engineering); Civil engineering; Mathematics; Computer science","score_opus":0.24168322661821137,"score_gpt":0.47025336096477915,"score_spread":0.22857013434656778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2521975389","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9853179,0.0000029688026,0.00076307566,0.00007572838,0.0000245925,0.005611238,0.000005052496,0.000012561429,0.008186871],"genre_scores_gemma":[0.9994239,6.321608e-7,0.0002225534,0.0000046701316,0.000035655226,0.0002497536,3.6799563e-7,0.000008878629,0.000053553093],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99748117,0.0013863713,0.0002569832,0.00028220445,0.00038261313,0.00021063951],"domain_scores_gemma":[0.997999,0.0013657556,0.00021573123,0.0002556091,0.00009932143,0.000064543994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0058178054,0.000093718096,0.00041666787,0.000065229666,0.00010384589,0.00003469841,0.00046543192,0.00004750739,0.000014120849],"category_scores_gemma":[0.00085497834,0.000070596005,0.000053911594,0.00037485218,0.00020650272,0.0008206773,0.00014308852,0.00008279234,0.000001818128],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010029797,0.00081845996,0.96955484,0.00008446401,0.000023236535,0.000011260167,0.016012032,0.00025249738,0.0065517803,0.000641698,9.967569e-7,0.0050457814],"study_design_scores_gemma":[0.0024139453,0.00021010745,0.9516076,0.0017358923,0.000048871258,2.937152e-7,0.0068498068,0.0009455269,0.015552223,0.020344159,0.000011839515,0.00027974427],"about_ca_topic_score_codex":0.12471856,"about_ca_topic_score_gemma":0.022167614,"teacher_disagreement_score":0.102550946,"about_ca_system_score_codex":0.000091444315,"about_ca_system_score_gemma":0.00045840695,"threshold_uncertainty_score":0.99567527},"labels":[],"label_agreement":null},{"id":"W2521988037","doi":"","title":"Design and Implementation of Transit Services: Guidelines for smaller communities","year":2016,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transit (satellite); Business; Service (business); Demographics; Environmental planning; Public transport; Transportation planning; Transport engineering; Geography; Marketing; Engineering","score_opus":0.15754326621128942,"score_gpt":0.40591938048337955,"score_spread":0.24837611427209014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2521988037","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81125516,0.000081861945,0.18391313,0.0036086936,0.00003694435,0.00040753206,0.000016387557,0.000030147721,0.00065014104],"genre_scores_gemma":[0.98996323,0.00007705007,0.0094027165,0.00017031125,0.000027574692,0.0000150836295,0.0000033598794,0.0000027252909,0.0003379184],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9995721,0.000041387182,0.00016928201,0.000052059713,0.000076961,0.000088231274],"domain_scores_gemma":[0.9995329,0.00013551953,0.000038512226,0.000060772792,0.00020879123,0.000023520235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050474453,0.000037442194,0.00007178001,0.000016318922,0.00013282166,0.000012330257,0.00009265072,0.000024737546,0.00041548687],"category_scores_gemma":[0.0000031285633,0.000023082632,0.000021563645,0.000032498054,0.00009738949,0.00020219541,0.0000037234272,0.000007611359,4.0790863e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016051148,0.00007893119,0.70454675,0.0003255324,0.00008027502,1.855961e-7,0.10906553,0.000006643616,0.005886394,0.017136173,0.0015912992,0.16112176],"study_design_scores_gemma":[0.00645375,0.00044713874,0.33948627,0.00028129475,0.00020533644,1.7081004e-7,0.4937586,0.0003018683,0.044993427,0.055310514,0.057986274,0.00077536376],"about_ca_topic_score_codex":0.009944478,"about_ca_topic_score_gemma":0.055207316,"teacher_disagreement_score":0.38469306,"about_ca_system_score_codex":0.0000060087914,"about_ca_system_score_gemma":0.000035815156,"threshold_uncertainty_score":0.9966484},"labels":[],"label_agreement":null},{"id":"W2522908939","doi":"10.1016/j.ypmed.2016.09.019","title":"GIS-measured walkability, transit, and recreation environments in relation to older Adults' physical activity: A latent profile analysis","year":2016,"lang":"en","type":"article","venue":"Preventive Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":93,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Heart, Lung, and Blood Institute","keywords":"Walkability; Recreation; Medicine; Built environment; Physical activity; Gerontology; Demography; Multilevel model; Ethnic group; Level design; Geography; Environmental health; Physical therapy; Ecology","score_opus":0.01925525832198727,"score_gpt":0.3007259843235874,"score_spread":0.2814707260016001,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2522908939","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9878675,0.000048209982,0.0066251326,0.0041573853,0.00004020847,0.0008022619,0.000008779002,0.000019427114,0.00043111673],"genre_scores_gemma":[0.9987896,0.000026543536,0.00006544714,0.00002311507,0.00008376406,0.00006562665,0.000010906645,0.0000052950286,0.0009296663],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99853647,0.00028870374,0.0001813865,0.00039621035,0.00040540536,0.00019184819],"domain_scores_gemma":[0.99947476,0.00011945988,0.00007474286,0.00014901732,0.000031228294,0.00015076686],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008415036,0.00010618585,0.00027545294,0.00013734815,0.000093700095,0.0000066800853,0.00007964133,0.00005888288,0.00034010565],"category_scores_gemma":[0.00020636541,0.00007046978,0.000064229935,0.0005505071,0.00022864883,0.0002816652,0.000012843524,0.00007411863,0.000007198427],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017902697,0.0003617862,0.8724439,0.000015178427,0.000073678035,0.0000014886078,0.025407847,0.0000015036794,0.0038474489,0.000044473993,0.000014884741,0.09760876],"study_design_scores_gemma":[0.00087354577,0.000065950655,0.9969993,0.00016914486,0.00019854783,2.0362412e-8,0.0003699176,0.00007457672,0.00059019413,0.00046657727,0.00010139405,0.00009078919],"about_ca_topic_score_codex":0.0017473887,"about_ca_topic_score_gemma":0.0035081157,"teacher_disagreement_score":0.124555424,"about_ca_system_score_codex":0.00015640927,"about_ca_system_score_gemma":0.000026849366,"threshold_uncertainty_score":0.37239182},"labels":[],"label_agreement":null},{"id":"W2523506081","doi":"10.1016/s0140-6736(16)30068-x","title":"Use of science to guide city planning policy and practice: how to achieve healthy and sustainable future cities","year":2016,"lang":"en","type":"review","venue":"The Lancet","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":396,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Institutes of Health","keywords":"Urban planning; Environmental planning; Public transport; Transportation planning; Sustainability; Business; Sustainable transport; Urban design; Public health; Land-use planning; Population; Land use; Transport engineering; Environmental health; Geography; Engineering; Medicine; Civil engineering","score_opus":0.12871133599968343,"score_gpt":0.44680888296516247,"score_spread":0.31809754696547904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2523506081","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0027192554,0.93111247,0.000063016654,0.058606204,0.00018576099,0.001246719,0.00013368436,0.00004397575,0.0058889356],"genre_scores_gemma":[0.0014531515,0.9894281,0.00070648803,0.0013779169,0.002529503,0.000028454702,0.0000021692276,0.000011928149,0.004462295],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980024,0.0003307653,0.00024466557,0.00036550406,0.00039993017,0.00065670715],"domain_scores_gemma":[0.99801713,0.0008402287,0.00025990503,0.0004357202,0.00021476884,0.0002322621],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042730286,0.0001757217,0.0008469102,0.00016312639,0.0009183579,0.0003494493,0.0006767743,0.000107395404,0.0000071171307],"category_scores_gemma":[0.0028673182,0.00009953505,0.00004862514,0.00088252366,0.0010851591,0.00072541804,0.00021597602,0.00019732023,0.0000012310006],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042842058,0.000052220657,0.005845208,0.011712974,0.00008704616,0.000024371368,0.058043033,4.3215888e-7,0.0000025528539,0.10149382,0.04385913,0.7784508],"study_design_scores_gemma":[0.00005672786,0.00005175804,0.0011831896,0.0011287542,0.000042634492,0.0000015764939,0.0040831217,3.2176818e-8,2.5358128e-7,0.00059515773,0.9927247,0.0001321009],"about_ca_topic_score_codex":0.003663472,"about_ca_topic_score_gemma":0.0003768962,"teacher_disagreement_score":0.94886553,"about_ca_system_score_codex":0.0001956671,"about_ca_system_score_gemma":0.0015711993,"threshold_uncertainty_score":0.70633596},"labels":[],"label_agreement":null},{"id":"W2525483110","doi":"10.1016/j.tra.2016.09.009","title":"A multi-dimensional view of transport-related social exclusion: A comparative study of Greater Perth and Sydney","year":2016,"lang":"en","type":"article","venue":"Transportation Research Part A Policy and Practice","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":45,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Transport Canada","funders":"Harvard University","keywords":"Social exclusion; Urban sprawl; Lorenz curve; Economic geography; Geography; Regional science; Index (typography); Inequality; Population; Demographic economics; Economic growth; Sociology; Economics; Urban planning; Economic inequality; Demography; Gini coefficient; Mathematics; Computer science; Civil engineering; Engineering","score_opus":0.22935486076629977,"score_gpt":0.48935437767361234,"score_spread":0.2599995169073126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2525483110","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9935598,0.00026226015,0.000027801969,0.004251919,0.000025346497,0.00075014087,0.00011430552,0.000019180248,0.0009892841],"genre_scores_gemma":[0.99890053,0.00025931414,0.00013456117,0.000037487018,0.000057540907,0.0000354991,0.000010843659,0.000008027744,0.00055620074],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99684745,0.0011194437,0.0005550219,0.00033773694,0.0008209318,0.00031940948],"domain_scores_gemma":[0.99753845,0.0013413341,0.00021228832,0.000121909856,0.00061176694,0.00017427126],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027092954,0.00012980355,0.0003517477,0.00018521464,0.0005837708,0.000015111283,0.00012820541,0.00011644892,0.000266983],"category_scores_gemma":[0.00024775224,0.00009311227,0.00005417217,0.0006121686,0.0011380092,0.0006961235,0.0000068463864,0.00020509676,0.0000026113614],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0032153872,0.0029392063,0.34920338,0.00028490764,0.00035674137,0.000050370567,0.6260676,0.0000042917127,0.002786512,0.009617194,0.00018275596,0.00529168],"study_design_scores_gemma":[0.0032128622,0.00046090654,0.9598566,0.00012249306,0.00011843819,7.712209e-7,0.023294782,0.000008641122,0.00016199258,0.0004658801,0.012122369,0.00017423584],"about_ca_topic_score_codex":0.014370892,"about_ca_topic_score_gemma":0.0131536955,"teacher_disagreement_score":0.6106533,"about_ca_system_score_codex":0.000025597992,"about_ca_system_score_gemma":0.00035334556,"threshold_uncertainty_score":0.9921925},"labels":[],"label_agreement":null},{"id":"W2526007707","doi":"","title":"Elderly cyclists´ opinions on safe and joyful cycling","year":2008,"lang":"en","type":"article","venue":"Epubl LTU","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cycling; Quarter (Canadian coin); Promotion (chess); Train; Kilometer; Battery (electricity); Transport engineering; Forensic engineering; Engineering; Aeronautics; Geography; Political science; Cartography","score_opus":0.039620996643731005,"score_gpt":0.3149511943063829,"score_spread":0.2753301976626519,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2526007707","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.865267,0.00014378005,0.000049581624,0.0023412849,0.0003248476,0.000111130605,0.000009649106,0.00008248149,0.13167028],"genre_scores_gemma":[0.99502516,0.00008281073,0.00021661179,0.00022398408,0.00036137627,0.0000055816745,0.000013501499,0.000006704729,0.0040642745],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990389,0.000053653668,0.00016288669,0.00024161003,0.00024462846,0.00025832688],"domain_scores_gemma":[0.9995157,0.000099864184,0.00004542596,0.00015664787,0.000034328983,0.00014800455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027467546,0.00008515439,0.00012427084,0.00003846531,0.00085893815,0.000054827826,0.00016573255,0.00008244778,0.0004010379],"category_scores_gemma":[0.000089716224,0.00007776174,0.000053038162,0.00016199428,0.00032006533,0.00026886738,0.000012998915,0.00014517868,0.000051055744],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029949355,0.00020466975,0.94429934,0.000014781699,0.000019420631,0.0000322327,0.0142355235,0.000004371303,0.0000742348,0.018784646,0.008687194,0.013613612],"study_design_scores_gemma":[0.00026888697,0.00004266059,0.8107816,0.000018259969,0.0000066979624,7.780137e-7,0.0005380685,0.000005738124,0.00006937331,0.0023738875,0.18572505,0.00016902223],"about_ca_topic_score_codex":0.0014361651,"about_ca_topic_score_gemma":0.0014194093,"teacher_disagreement_score":0.17703785,"about_ca_system_score_codex":0.000029655821,"about_ca_system_score_gemma":0.00010039646,"threshold_uncertainty_score":0.66063446},"labels":[],"label_agreement":null},{"id":"W2526838942","doi":"10.7202/1036355ar","title":"Évolution de la mobilité des membres de familles monoparentales dans la région métropolitaine de Québec de 1996 à 2006 : comparaison entre les ménages matricentriques et patricentriques","year":2016,"lang":"fr","type":"article","venue":"Cahiers de géographie du Québec","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.008370075709623814,"score_gpt":0.2565673099511687,"score_spread":0.2481972342415449,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2526838942","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93143034,0.04436752,0.0143809775,0.0048564603,0.00015539367,0.000543007,0.00024086464,0.00048682422,0.0035386253],"genre_scores_gemma":[0.9767821,0.017404659,0.0020028083,0.00027925757,0.00055933266,0.000108225264,0.000034990753,0.00008875491,0.0027398777],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99183255,0.003925878,0.0008540911,0.0008688125,0.0004972675,0.0020214112],"domain_scores_gemma":[0.9948504,0.0030656685,0.0004617876,0.00047312494,0.00022421517,0.00092477957],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.003053567,0.0007267455,0.0007183555,0.0005219856,0.0013539193,0.00028488025,0.00092522026,0.001030895,0.00014244583],"category_scores_gemma":[0.0008364637,0.0006468224,0.000744665,0.0013152177,0.023645066,0.0008456112,0.00007876506,0.0007352674,0.000012731341],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002447705,0.0008346097,0.9191886,0.00032338273,0.00019950846,0.00013679707,0.032482073,0.000085048225,0.0024880008,0.018607568,0.0035543416,0.021855311],"study_design_scores_gemma":[0.0012016486,0.00016294392,0.9089777,0.00048020465,0.00052190194,0.00005699375,0.01949881,0.00020114644,0.0030156614,0.018925056,0.04606743,0.00089051184],"about_ca_topic_score_codex":0.8299609,"about_ca_topic_score_gemma":0.80366296,"teacher_disagreement_score":0.045351762,"about_ca_system_score_codex":0.008434549,"about_ca_system_score_gemma":0.0044556675,"threshold_uncertainty_score":0.9999462},"labels":[],"label_agreement":null},{"id":"W2526914871","doi":"10.1177/0013916516670982","title":"A Systematic Review of Agreement Between Perceived and Objective Neighborhood Environment Measures and Associations With Physical Activity Outcomes","year":2016,"lang":"en","type":"review","venue":"Environment and Behavior","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":243,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Comparability; Physical activity; Psychology; Built environment; Variance (accounting); Variables; Statistics; Medicine; Mathematics; Physical therapy; Ecology","score_opus":0.04069267342598257,"score_gpt":0.3238205524814075,"score_spread":0.2831278790554249,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2526914871","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.037185937,0.95890576,0.000022027805,0.00006902162,0.000015809175,0.0033971756,0.0002911078,0.000012797471,0.00010038235],"genre_scores_gemma":[0.059985913,0.93923694,0.000022273724,0.000006152462,0.000043556312,0.00041053662,0.0000213844,0.000017483182,0.00025575008],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99777603,0.0004330933,0.00043215306,0.00049242354,0.0006257272,0.00024058422],"domain_scores_gemma":[0.99866533,0.0002945493,0.0006110104,0.00026586643,0.000009720327,0.00015350734],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005700317,0.00036990724,0.0020664113,0.000046374986,0.00025901737,0.000032180666,0.00013651527,0.00014796901,0.00006755304],"category_scores_gemma":[0.00003096601,0.00021841514,0.00021044548,0.000048123697,0.00049871637,0.00016680657,0.00006850259,0.00017403509,0.0000058852597],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000041548633,0.0010332392,0.36745802,0.32287446,0.00088846043,0.0000065561694,0.0028191388,6.2035896e-9,0.000004175233,0.00004919331,0.000005193514,0.3048574],"study_design_scores_gemma":[0.00038590375,0.00016265147,0.8405386,0.13613988,0.01845528,6.1024986e-7,0.00021171679,5.6343797e-8,0.0000014126152,0.000026364387,0.0034703866,0.0006071294],"about_ca_topic_score_codex":0.00008995721,"about_ca_topic_score_gemma":0.000023121826,"teacher_disagreement_score":0.4730806,"about_ca_system_score_codex":0.00022167875,"about_ca_system_score_gemma":0.000054582822,"threshold_uncertainty_score":0.8906711},"labels":[],"label_agreement":null},{"id":"W2526954046","doi":"10.1016/j.pmedr.2016.09.010","title":"Check the score: Field validation of Street Smart Walk Score in Alberta, Canada","year":2016,"lang":"en","type":"article","venue":"Preventive Medicine Reports","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"Canadian Institutes of Health Research; University of Alberta; Alberta Innovates - Health Solutions; Public Health Agency of Canada; Alberta Health Services; Heart and Stroke Foundation of Canada","keywords":"Metric (unit); Population; Standard score; Psychological intervention; Spearman's rank correlation coefficient; Demography; Medicine; Geography; Statistics; Mathematics; Environmental health; Sociology; Business","score_opus":0.02155646179642997,"score_gpt":0.2872922052995082,"score_spread":0.26573574350307827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2526954046","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9821131,0.00011696909,0.00008261717,0.008034182,0.00047989507,0.00035572628,0.0000017986681,0.000007125495,0.008808567],"genre_scores_gemma":[0.9965397,0.000025908013,0.0000037471948,0.00007458514,0.00014280983,0.000016254291,0.0000064473147,0.000004610104,0.0031859397],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984274,0.00013529738,0.00049696356,0.00023111748,0.000508491,0.00020072608],"domain_scores_gemma":[0.99881464,0.0004048505,0.00032719,0.00027171645,0.000114037626,0.000067568064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012218556,0.00008947253,0.00020951794,0.00003482425,0.000090948,0.0000039485253,0.00015263766,0.000047734295,0.00057320204],"category_scores_gemma":[0.0011653397,0.000046798632,0.00004344257,0.0002441834,0.0002559986,0.00013752848,0.000019542564,0.000081106606,4.0731064e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007919442,0.000024930174,0.99280244,0.000012948975,0.000011466782,0.00003371233,0.0012974029,3.0901904e-7,0.00009834955,0.00014033196,0.0016010817,0.0039690845],"study_design_scores_gemma":[0.00019482324,0.00003377241,0.98535734,0.00034946724,0.000030856867,9.4015064e-7,0.0006366029,5.34782e-7,0.005867324,0.00294132,0.004508503,0.00007852833],"about_ca_topic_score_codex":0.94055665,"about_ca_topic_score_gemma":0.98920816,"teacher_disagreement_score":0.048651535,"about_ca_system_score_codex":0.000109241264,"about_ca_system_score_gemma":0.0006767803,"threshold_uncertainty_score":0.627616},"labels":[],"label_agreement":null},{"id":"W2527002428","doi":"10.5820/aian.2305.2016.1","title":"Community Belonging and Sedentary Behavior among First Nations Adults in Canada: The Moderating Role of Income","year":2016,"lang":"en","type":"article","venue":"American Indian and Alaska Native Mental Health Research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sedentary behavior; Indigenous; Mental health; Community health; Population; Gerontology; Sedentary lifestyle; Psychology; Sense of community; Demography; Physical activity; Medicine; Social psychology; Sociology; Public health; Psychiatry","score_opus":0.03736345286766609,"score_gpt":0.37520009138379634,"score_spread":0.33783663851613027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2527002428","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99414474,0.0001939452,8.9492045e-7,0.004473339,0.000018693685,0.0005885261,0.000116032286,0.000004785767,0.0004590672],"genre_scores_gemma":[0.9994873,0.0003149501,0.000020552721,0.00006018968,0.000015755499,0.000053528867,0.0000063715565,0.000005285522,0.000036085825],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977522,0.0009526794,0.00024186347,0.00015781031,0.00048964785,0.00040578473],"domain_scores_gemma":[0.99840593,0.0011039177,0.000109836874,0.000104710256,0.00008181949,0.00019376387],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0018568009,0.00007169051,0.00016373271,0.000168665,0.002708988,0.000024518344,0.00020229154,0.00001697187,0.000017113312],"category_scores_gemma":[0.00013592848,0.000048966274,0.0000136208855,0.0006413511,0.0019244818,0.00020223962,0.00008731745,0.0003643595,2.0055978e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015419568,0.000047405585,0.92181474,0.00002566086,0.0000036419833,0.0000012766826,0.04393171,1.17311984e-7,0.0000035920264,0.00007955713,0.000008935271,0.03406794],"study_design_scores_gemma":[0.00022975531,0.000070551454,0.8565435,0.0001689282,7.188655e-7,1.774382e-7,0.14275666,0.000014877202,0.00005092674,0.00007227658,0.000045297842,0.00004638168],"about_ca_topic_score_codex":0.9895596,"about_ca_topic_score_gemma":0.99897724,"teacher_disagreement_score":0.09882494,"about_ca_system_score_codex":0.0008567598,"about_ca_system_score_gemma":0.0011565844,"threshold_uncertainty_score":0.99858934},"labels":[],"label_agreement":null},{"id":"W2527211104","doi":"","title":"Estimating Homebuyer Preferences Under Intensification: Hedonic Modelling of Open Space and Multimodal Transit Amenities Preceding Light Rail in Kitchener-Waterloo","year":2016,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Light rail transit; Transit (satellite); Transport engineering; Space (punctuation); Geography; Computer science; Engineering; Public transport","score_opus":0.041262760867121585,"score_gpt":0.26335260992965887,"score_spread":0.2220898490625373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2527211104","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949877,0.00019396568,0.0008699727,0.0013022614,0.00021615492,0.0005513822,0.000027555647,0.000035250945,0.0018157435],"genre_scores_gemma":[0.92931426,0.00018277379,0.005892173,0.000004177878,0.000041563762,0.0000019403478,0.00008638918,0.000018258455,0.06445849],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9983037,0.00013960068,0.0003071216,0.0005351048,0.0003704985,0.00034395859],"domain_scores_gemma":[0.9988246,0.000096096985,0.00043411195,0.00023139644,0.00030874158,0.000105040475],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000534844,0.00025610533,0.00062427827,0.00024879654,0.0005731152,0.00015332308,0.0007476563,0.0003421298,0.00014287456],"category_scores_gemma":[0.000016209551,0.00025068532,0.00010659368,0.00024957673,0.00035629564,0.0011556648,0.00006148314,0.00023661094,0.0000026414116],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004859164,0.00015047731,0.025933042,0.000833953,0.00012254127,0.000007426169,0.9611814,0.00087086577,0.004619507,0.0007992823,0.000029853596,0.004965756],"study_design_scores_gemma":[0.0017313706,0.00011857481,0.020790251,0.0026917097,0.00029568397,3.49187e-7,0.9558774,0.004080816,0.005665216,0.0077994685,0.0000928867,0.0008562639],"about_ca_topic_score_codex":0.2591004,"about_ca_topic_score_gemma":0.3796271,"teacher_disagreement_score":0.12052669,"about_ca_system_score_codex":0.00010875554,"about_ca_system_score_gemma":0.00024709676,"threshold_uncertainty_score":0.9999945},"labels":[],"label_agreement":null},{"id":"W2527444880","doi":"","title":"The Influence of Housing Suitability on Commuting Patterns in Montreal, Toronto and Vancouver","year":2014,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geography; Transport engineering; Regional science; Civil engineering; Engineering","score_opus":0.008214243534601045,"score_gpt":0.23077743952662516,"score_spread":0.22256319599202412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2527444880","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99825925,0.00007117114,7.616516e-7,0.00008111867,0.00012243322,0.00022015817,0.000014818705,0.000013900774,0.0012163802],"genre_scores_gemma":[0.98811764,0.00014567292,0.000020235932,0.000005089541,0.000014613353,2.1550842e-7,0.00001597574,0.0000059501476,0.011674595],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989355,0.00016678005,0.00015830423,0.00023818949,0.00028037574,0.00022082381],"domain_scores_gemma":[0.99908936,0.00020144957,0.0002760298,0.00025475342,0.0001247341,0.00005368174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006588533,0.00012433824,0.00028687654,0.000039136594,0.0004528825,0.000019124198,0.0003681172,0.00017724352,0.000042400647],"category_scores_gemma":[0.00004502905,0.00011580029,0.000072619136,0.00007999291,0.00027992664,0.00027917922,0.000027989341,0.00016752254,6.1354757e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016251105,0.000061345374,0.74556124,0.00019672184,0.000017360062,0.000002428052,0.2484055,0.000037030393,0.00008391365,0.00006852706,0.000058718175,0.0053447224],"study_design_scores_gemma":[0.00018162758,0.000029060142,0.7750432,0.00017854448,0.00002324274,4.4366226e-9,0.22417441,0.0000102188,0.00003540144,0.00016687509,0.00006487064,0.00009256503],"about_ca_topic_score_codex":0.89144427,"about_ca_topic_score_gemma":0.99852216,"teacher_disagreement_score":0.10707792,"about_ca_system_score_codex":0.00013523083,"about_ca_system_score_gemma":0.00006604204,"threshold_uncertainty_score":0.47221988},"labels":[],"label_agreement":null},{"id":"W2528028232","doi":"10.1016/j.ypmed.2016.09.036","title":"The influence of walkability on broader mobility for Canadian middle aged and older adults: An examination of Walk Score™ and the Mobility Over Varied Environments Scale (MOVES)","year":2016,"lang":"en","type":"article","venue":"Preventive Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University; University of British Columbia","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; Social Sciences and Humanities Research Council; Social Sciences and Humanities Research Council of Canada; Canadian Institutes of Health Research","keywords":"Walkability; Medicine; Percentile; Socioeconomic status; Demography; Confidence interval; Gerontology; Population; Community health; Environmental health; Public health; Physical activity; Statistics; Physical therapy","score_opus":0.013532174291522502,"score_gpt":0.2623885334249046,"score_spread":0.24885635913338208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2528028232","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968374,0.00023781581,0.00012885153,0.00066498865,0.00005311214,0.0018029864,0.0000632147,0.000005780939,0.00020588496],"genre_scores_gemma":[0.99950325,0.0000785189,0.00001841305,0.000053710482,0.00003522733,0.00009384199,0.000005266974,0.0000052617274,0.00020652066],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980485,0.00058658863,0.00040713057,0.00037382788,0.00035156633,0.00023240127],"domain_scores_gemma":[0.99795127,0.001201914,0.00021221238,0.0003856743,0.000096231925,0.00015271314],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.004654829,0.0001230111,0.00026845583,0.000031718704,0.00040427884,0.000009020648,0.00023102917,0.00007671446,0.000094647534],"category_scores_gemma":[0.0009529577,0.000058239377,0.00004687562,0.00011467878,0.004419916,0.0002598675,0.000024981247,0.0000837532,1.5167038e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00092981244,0.0004417294,0.90862256,0.00018023196,0.00004783478,1.9843678e-7,0.038320072,0.000001075507,0.0011921487,0.0010060421,0.000011255297,0.049247034],"study_design_scores_gemma":[0.0021621445,0.0001386021,0.98909926,0.0001855169,0.000044131,3.387198e-8,0.0019069118,0.00001407293,0.0006046513,0.0056872573,0.0000902581,0.00006716013],"about_ca_topic_score_codex":0.0566848,"about_ca_topic_score_gemma":0.14350642,"teacher_disagreement_score":0.08682162,"about_ca_system_score_codex":0.00010687662,"about_ca_system_score_gemma":0.00008329249,"threshold_uncertainty_score":0.99828947},"labels":[],"label_agreement":null},{"id":"W2528254045","doi":"","title":"How Active Modes Compete with Motorized Modes in High-Density Areas: A Case Study of Downtown Toronto","year":2015,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Downtown; TRIPS architecture; Destinations; Mode choice; Mode (computer interface); Transport engineering; Modal; Nested logit; Travel behavior; Built environment; Geography; Econometrics; Computer science; Engineering; Public transport; Economics; Tourism; Civil engineering","score_opus":0.04088532195522931,"score_gpt":0.29925928316200084,"score_spread":0.25837396120677153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2528254045","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99240583,0.00003099107,0.00025198,0.000112298534,0.000043849966,0.00072820997,0.000009376833,0.00006330082,0.006354154],"genre_scores_gemma":[0.99888635,0.000002285737,0.0005324351,0.00001096588,0.000050068054,0.000025987329,0.0000023342043,0.0000071893724,0.00048237378],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9984947,0.00020604861,0.00019395618,0.00032475253,0.0005278637,0.00025269357],"domain_scores_gemma":[0.9991104,0.00006564636,0.00010559748,0.00025824812,0.00027666552,0.00018344179],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051120366,0.00014470024,0.0003658246,0.000034268236,0.00013307821,0.00006883925,0.00022255605,0.000072289855,0.00006300234],"category_scores_gemma":[0.00004066885,0.00010448541,0.00003584851,0.00020169992,0.00020500262,0.0009551523,0.000041065894,0.00009248908,4.928789e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00080260215,0.0018332611,0.88188916,0.00001530202,0.0000792535,0.0005276665,0.11186224,0.00006483571,0.00019554816,0.0010797273,0.000021722835,0.0016286797],"study_design_scores_gemma":[0.0041377875,0.0005538251,0.21021898,0.000020575406,0.00007030985,0.000003945107,0.78277296,0.0002606823,0.0006053204,0.001015637,0.000020833666,0.00031914044],"about_ca_topic_score_codex":0.7522402,"about_ca_topic_score_gemma":0.9321926,"teacher_disagreement_score":0.6716702,"about_ca_system_score_codex":0.0002721314,"about_ca_system_score_gemma":0.00021257713,"threshold_uncertainty_score":0.42607912},"labels":[],"label_agreement":null},{"id":"W2528263581","doi":"10.29173/cjs28298","title":"Editorial – Contentious Mobilities/Canadian Mobilities","year":2016,"lang":"en","type":"article","venue":"The Canadian Journal of Sociology","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mobilities; Scholarship; Sociology; Context (archaeology); Intersectionality; Power (physics); Economic geography; Media studies; Political science; Social science; Gender studies; Law; History; Geography","score_opus":0.023730163450098783,"score_gpt":0.2713942630944616,"score_spread":0.24766409964436278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2528263581","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9045713,0.00067887525,0.000016724516,0.024876187,0.056954272,0.00019068106,0.00007810901,0.000011719884,0.012622115],"genre_scores_gemma":[0.965528,0.00002621567,0.000008242961,0.00047337404,0.031253956,0.0000040023288,9.781653e-7,0.0000083669065,0.0026968447],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983012,0.00038193772,0.00036880828,0.00012023849,0.00018874725,0.00063908217],"domain_scores_gemma":[0.9978683,0.0004236548,0.0001788099,0.00017725023,0.00049764867,0.0008543339],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0021583205,0.00010281216,0.00023797619,0.00013767675,0.0011847074,0.000055285807,0.00067104003,0.0002714805,0.0015347963],"category_scores_gemma":[0.00065942004,0.00005948402,0.0001765215,0.000082149985,0.003992372,0.00024660534,0.0000049363543,0.00029809304,0.000038023933],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005874981,0.000019831206,0.5103816,0.000009535619,0.00016599856,0.00004861813,0.07600638,0.0000023106634,0.00007551254,0.07942037,0.33026916,0.0035419308],"study_design_scores_gemma":[0.0005121264,0.00011452057,0.04215998,0.000024364448,0.00003547689,0.0000044715075,0.013144984,1.3480864e-7,0.00000941369,0.111512855,0.83232594,0.00015576235],"about_ca_topic_score_codex":0.76889527,"about_ca_topic_score_gemma":0.9915354,"teacher_disagreement_score":0.5020568,"about_ca_system_score_codex":0.00087319984,"about_ca_system_score_gemma":0.009129883,"threshold_uncertainty_score":0.9993779},"labels":[],"label_agreement":null},{"id":"W2528293846","doi":"10.4000/vertigo.17774","title":"Évaluation de la marchabilité de trois environnements urbains de la région métropolitaine montréalaise à partir de l’outil MAPPA","year":2016,"lang":"fr","type":"article","venue":"VertigO","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université de Montréal; HEC Montréal","funders":"","keywords":"Humanities; Art; Political science","score_opus":0.01777454782948288,"score_gpt":0.28400166678169597,"score_spread":0.26622711895221307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2528293846","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9671903,0.002431741,0.019285075,0.007885951,0.0001926541,0.00034995665,0.00006434401,0.0000821871,0.0025177568],"genre_scores_gemma":[0.98818463,0.0008349392,0.0037551855,0.00029170027,0.0004723723,0.00007737639,0.000010417437,0.000036105404,0.0063372627],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9949158,0.0023713566,0.0004763892,0.0005059584,0.0005019169,0.0012285768],"domain_scores_gemma":[0.9979909,0.00087242585,0.0001484122,0.00041405362,0.00005637531,0.00051783794],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0037041095,0.0002846644,0.00029252545,0.0000763435,0.00056525285,0.00010710691,0.00043484088,0.00043279259,0.0010514901],"category_scores_gemma":[0.00066155125,0.00024730602,0.0002549038,0.0002935362,0.0024508638,0.00040923397,0.000059180693,0.00026150365,0.00007997636],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011428519,0.0005865564,0.93871963,0.00006640434,0.000048404672,0.000030456915,0.012708151,0.000035937584,0.008264532,0.009663499,0.0015861636,0.028175997],"study_design_scores_gemma":[0.0012575283,0.000107798325,0.86315316,0.00013071905,0.00016738955,0.0000030077988,0.0007307829,0.0010308302,0.0032723825,0.08692113,0.042911924,0.0003133352],"about_ca_topic_score_codex":0.010159196,"about_ca_topic_score_gemma":0.0032727353,"teacher_disagreement_score":0.07725763,"about_ca_system_score_codex":0.0019287915,"about_ca_system_score_gemma":0.00079309737,"threshold_uncertainty_score":0.9999979},"labels":[],"label_agreement":null},{"id":"W2529353246","doi":"10.1111/josh.12438","title":"Socioeconomic Factors Influence Physical Activity and Sport in Quebec Schools","year":2016,"lang":"en","type":"article","venue":"Journal of School Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Hôpital Charles-Le Moyne; Institut National de Santé Publique du Québec; Université Laval; Université de Sherbrooke","funders":"","keywords":"Socioeconomic status; Formative assessment; Stratified sampling; Diversity (politics); Incentive; Bivariate analysis; Physical activity; Physical education; Environmental health; Population; Psychology; Geography; Medicine; Sociology; Mathematics education; Physical therapy; Statistics; Mathematics","score_opus":0.02652761351869309,"score_gpt":0.3533929121485281,"score_spread":0.326865298629835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2529353246","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99263394,0.00008649544,0.000019169916,0.006928574,0.00010817896,0.000115960625,0.000003965391,0.000008997469,0.00009469073],"genre_scores_gemma":[0.9991819,0.00020013281,0.00004504503,0.00012472054,0.00025513224,8.2791183e-7,1.0540423e-7,0.0000050992226,0.00018700797],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99888885,0.00009119139,0.0003402263,0.00014579583,0.00023994605,0.00029397558],"domain_scores_gemma":[0.9988823,0.000088071494,0.00043442386,0.00009048728,0.000068932866,0.0004357832],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001137105,0.00009061832,0.0003366895,0.00009365223,0.00016322316,0.00005181858,0.0001862021,0.00006383692,0.000057079884],"category_scores_gemma":[0.00010644143,0.000059519476,0.00007683607,0.00008947871,0.00017320315,0.0016357248,0.000012151163,0.0003514327,0.000011264406],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038985785,0.00005918328,0.9885123,0.0000120688155,0.00000486519,0.0000033289748,0.0013033958,7.3992624e-7,0.00017331832,0.00014829148,0.000085787535,0.009657765],"study_design_scores_gemma":[0.00037979227,0.000052487878,0.9968602,0.000079814876,0.0000031088819,3.7601396e-7,0.00085536856,5.158725e-7,0.000077455275,0.0010578658,0.0005623365,0.0000706876],"about_ca_topic_score_codex":0.0491818,"about_ca_topic_score_gemma":0.04160908,"teacher_disagreement_score":0.0095870765,"about_ca_system_score_codex":0.0007143051,"about_ca_system_score_gemma":0.0021335105,"threshold_uncertainty_score":0.9758791},"labels":[],"label_agreement":null},{"id":"W2529396489","doi":"10.36615/jcpmi.v5i2.90","title":"Winter cycling in very cold climate - a case study in Calgary","year":2015,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"LafargeHolcim (Canada); University of Calgary","funders":"","keywords":"Cycling; Metropolitan area; Affect (linguistics); Environmental science; Geography; Psychology; Forestry","score_opus":0.35606736753030643,"score_gpt":0.581954847155716,"score_spread":0.22588747962540956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2529396489","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9878785,0.0031474591,0.000012460967,0.0000833503,0.0005848258,0.001001834,0.00001268315,0.000033941113,0.007244966],"genre_scores_gemma":[0.9988577,0.0005857472,0.00004766164,0.0001372715,0.00015416674,0.000051046867,0.0000026630548,0.00002842368,0.00013535089],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99599445,0.00079608493,0.0011951255,0.00053093093,0.00084468565,0.0006387388],"domain_scores_gemma":[0.9981834,0.0003124627,0.00049307715,0.00039182065,0.00021604821,0.0004031462],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0064748386,0.00026289737,0.00078600814,0.0007806601,0.00028168157,0.0010153615,0.0019972203,0.00014229886,0.001714616],"category_scores_gemma":[0.00035004175,0.00024986122,0.00013462172,0.0016164909,0.00023777215,0.003762996,0.00048459735,0.0005969282,0.000011374473],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018094569,0.0009934579,0.983883,0.000028221879,0.0000315532,0.0034602033,0.008595216,0.000046232446,0.00048194526,0.000015037213,0.00090215815,0.0013820115],"study_design_scores_gemma":[0.0014047145,0.000017043949,0.984838,0.00025782187,0.000039952232,0.000009483136,0.010623158,0.00003332269,0.00033986717,0.0011432398,0.00092658045,0.00036683702],"about_ca_topic_score_codex":0.072124116,"about_ca_topic_score_gemma":0.1177304,"teacher_disagreement_score":0.045606285,"about_ca_system_score_codex":0.00034557216,"about_ca_system_score_gemma":0.00043901248,"threshold_uncertainty_score":0.99999535},"labels":[],"label_agreement":null},{"id":"W2530328144","doi":"10.1177/1539449216672859","title":"Development and Validity of Western University’s On-Road Assessment","year":2016,"lang":"en","type":"article","venue":"OTJR Occupational Therapy Journal of Research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"London Health Sciences Centre; Western University","funders":"","keywords":"Content validity; Construct validity; Face validity; Construct (python library); Validity; Psychology; Transport engineering; Applied psychology; Computer science; Psychometrics; Engineering; Developmental psychology","score_opus":0.29971994144100883,"score_gpt":0.48745107449947866,"score_spread":0.18773113305846983,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2530328144","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965317,0.000052940628,0.0003256578,0.0010044645,0.00005921119,0.000085033076,0.0000066034554,0.0000031645711,0.0019312236],"genre_scores_gemma":[0.9977232,0.0004125208,0.00096548937,0.000012623866,0.000098198776,3.736863e-7,6.160452e-7,0.0000030915546,0.00078389124],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979955,0.000365632,0.00021269868,0.000098966426,0.0011657517,0.00016147351],"domain_scores_gemma":[0.9985385,0.00045889433,0.0001448581,0.00007223885,0.0006713822,0.000114113274],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035328092,0.00004978201,0.00011973899,0.00019821528,0.00026653754,0.000021954469,0.00025500156,0.00004490813,0.00025921126],"category_scores_gemma":[0.00006270886,0.00003247622,0.00004399853,0.00020213373,0.00035855031,0.0002525839,0.000016966751,0.00013673445,0.0000028536017],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004496613,0.0001419738,0.95125335,0.000004678466,0.000029499837,0.000008008097,0.0009682972,3.230159e-7,0.00044168433,0.0018110115,0.00009460431,0.044796888],"study_design_scores_gemma":[0.00063337915,0.00018369195,0.960574,0.00006412779,0.0000015545489,2.927149e-7,0.00039813374,2.678283e-7,0.0008606365,0.0005935688,0.03664786,0.000042500906],"about_ca_topic_score_codex":0.000061706814,"about_ca_topic_score_gemma":0.00015126696,"teacher_disagreement_score":0.04475439,"about_ca_system_score_codex":0.00017396639,"about_ca_system_score_gemma":0.0011319603,"threshold_uncertainty_score":0.28381816},"labels":[],"label_agreement":null},{"id":"W2531625489","doi":"","title":"Building connections: political participation, social capital and the built environment in St. John's, Newfoundland","year":2016,"lang":"en","type":"dissertation","venue":"Memorial University Research Repository (Memorial University)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Walkability; Neighbourhood (mathematics); Social capital; Respondent; Civic engagement; Built environment; Affect (linguistics); Politics; Social engagement; Political science; Sociology; Geography; Social psychology; Socioeconomics; Psychology; Social science; Engineering","score_opus":0.030643784476628157,"score_gpt":0.3090028107402009,"score_spread":0.2783590262635728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2531625489","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9214484,0.00006389135,0.000043710937,0.0015888647,0.0042778174,0.001082936,0.0000645905,0.00007182784,0.07135798],"genre_scores_gemma":[0.95547986,0.00020713607,0.000025361634,0.0000067643555,0.0055104382,0.0000022737079,0.00006391483,0.00002331496,0.03868093],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99375886,0.0026545222,0.00035410185,0.00085793,0.0013276752,0.0010468928],"domain_scores_gemma":[0.99750996,0.0011107422,0.00022208902,0.00034959937,0.0003918899,0.00041573556],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0020758375,0.0003061116,0.00054644275,0.0007491287,0.0047413693,0.0002715273,0.0010099831,0.00068288954,0.00016676434],"category_scores_gemma":[0.00038255547,0.00028861768,0.00024392823,0.0008434261,0.002572742,0.00083564257,0.00019432187,0.0010458134,0.000014782414],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.01717923,0.00060126046,0.035932012,0.0001819088,0.00041584575,0.0012809943,0.030432848,0.0000064677106,0.00091038377,0.9097248,0.0017389125,0.0015953543],"study_design_scores_gemma":[0.03097337,0.00048190882,0.14011656,0.00045652542,0.0011069468,0.0000047062013,0.14445087,0.00003289065,0.0007391837,0.034922298,0.64445454,0.0022602282],"about_ca_topic_score_codex":0.06362635,"about_ca_topic_score_gemma":0.06323832,"teacher_disagreement_score":0.8748025,"about_ca_system_score_codex":0.0025923187,"about_ca_system_score_gemma":0.0015614382,"threshold_uncertainty_score":0.9999566},"labels":[],"label_agreement":null},{"id":"W2533528626","doi":"10.1016/j.pmedr.2016.10.009","title":"Direct observations of active school transportation and stroller use in kindergarten children","year":2016,"lang":"en","type":"article","venue":"Preventive Medicine Reports","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"York University; Institute for Clinical Evaluative Sciences; SickKids Foundation; Hospital for Sick Children","funders":"Canadian Institutes of Health Research","keywords":"Human factors and ergonomics; Injury prevention; Poison control; Suicide prevention; Occupational safety and health; Medicine; Medical emergency; Psychology; Environmental health; Transport engineering; Engineering","score_opus":0.03355054171033282,"score_gpt":0.30198368835126577,"score_spread":0.26843314664093293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2533528626","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972113,0.00011878771,0.00021639919,0.000691091,0.00008941305,0.0004697192,0.000015778021,0.000021955177,0.0011655958],"genre_scores_gemma":[0.998605,0.0000919487,0.000061832114,0.000014821595,0.000069605,0.000022789338,0.00002124646,0.0000061350684,0.0011065963],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986888,0.00011343949,0.0004577303,0.0002745326,0.00030837586,0.00015712332],"domain_scores_gemma":[0.99916255,0.00016435767,0.00029516654,0.00014652022,0.00013293866,0.00009845807],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006375463,0.0000911259,0.00025458582,0.000094578674,0.00007564879,0.000005585448,0.000054231292,0.000058360656,0.00022829698],"category_scores_gemma":[0.00055455766,0.000060520237,0.000044271725,0.0002515039,0.0003307371,0.00058770797,0.0000042124107,0.00006341335,3.1792268e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023601731,0.00005887728,0.9937178,0.0000063167945,0.00003006953,0.000014304777,0.002406474,4.0423294e-7,0.0010350975,0.000086174885,0.00006155237,0.0025593315],"study_design_scores_gemma":[0.00047539046,0.000028838453,0.99686193,0.00019242066,0.00004887583,4.3388454e-7,0.00037482276,2.601004e-7,0.0004898347,0.0012372776,0.00021892473,0.00007098023],"about_ca_topic_score_codex":0.007486076,"about_ca_topic_score_gemma":0.016323397,"teacher_disagreement_score":0.00883732,"about_ca_system_score_codex":0.000048815156,"about_ca_system_score_gemma":0.00012355034,"threshold_uncertainty_score":0.99912316},"labels":[],"label_agreement":null},{"id":"W2536458098","doi":"10.2196/publichealth.5869","title":"Building a National Neighborhood Dataset From Geotagged Twitter Data for Indicators of Happiness, Diet, and Physical Activity","year":2016,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":94,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Institute of Environmental Health Sciences; Centers for Disease Control and Prevention; National Institutes of Health; Utah Department of Health","keywords":"Happiness; Social media; Health data; Data science; Geography; Environmental health; Computer science; Psychology; World Wide Web; Medicine; Political science; Health care; Social psychology","score_opus":0.07284615749997338,"score_gpt":0.3838573703680377,"score_spread":0.3110112128680643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2536458098","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9713584,0.00013953369,0.0015434232,0.01669406,0.00006852105,0.00039216975,0.009674273,0.000024001798,0.00010558433],"genre_scores_gemma":[0.9983047,0.00006050466,0.00017040325,0.00032551022,0.00026721,0.00003284461,0.000817207,0.000005792357,0.000015785074],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986162,0.00015263548,0.00018273726,0.00042012765,0.00029976782,0.00032851688],"domain_scores_gemma":[0.9986316,0.00054458354,0.00018333345,0.00027488224,0.00005901171,0.00030661654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013462501,0.0000948363,0.000259369,0.000053187134,0.00027429615,0.000052852567,0.00029077096,0.000057729507,0.00001706193],"category_scores_gemma":[0.00043315266,0.00006775827,0.000019629037,0.00019369839,0.0003065997,0.0005961512,0.000082595136,0.00006678901,4.2543394e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008574962,0.00016301907,0.94534564,0.0000752657,0.00001863493,1.748282e-7,0.00082316383,7.367111e-9,0.000029192131,0.0016574095,0.007865147,0.04393662],"study_design_scores_gemma":[0.0006410245,0.000045047862,0.8244895,0.000011125813,7.087918e-7,4.4790134e-8,0.00008579975,0.00009305389,0.0000018633639,0.0020881132,0.17243065,0.000113082635],"about_ca_topic_score_codex":0.0010801998,"about_ca_topic_score_gemma":0.0010015155,"teacher_disagreement_score":0.1645655,"about_ca_system_score_codex":0.000035996145,"about_ca_system_score_gemma":0.00070851936,"threshold_uncertainty_score":0.2763102},"labels":[],"label_agreement":null},{"id":"W2536610693","doi":"10.12737/21721","title":"Complete Street Maintenance and Road Safety Improvement (Canada and USA Practices)","year":2016,"lang":"en","type":"article","venue":"Safety in Technosphere","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"SAFER; Transport engineering; Outreach; Pedestrian; Business; Engineering; Computer security; Computer science","score_opus":0.013420291343742499,"score_gpt":0.2621483425108409,"score_spread":0.2487280511670984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2536610693","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9776476,0.00028806302,0.0002194141,0.008957012,0.00014930737,0.0005250716,0.00018378245,0.0000696416,0.011960081],"genre_scores_gemma":[0.99754655,0.00064166763,0.00040528082,0.00019274402,0.000043504802,0.000012026505,0.0000031760242,0.0000085929005,0.0011464467],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985001,0.00004449966,0.00033557086,0.00040345482,0.00031816287,0.0003982082],"domain_scores_gemma":[0.99917763,0.00014007773,0.0002502298,0.00025566443,0.000054625816,0.000121783865],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059686956,0.00014474898,0.0002086366,0.000014785669,0.000286429,0.00003123416,0.00025701537,0.00010871252,0.0003781246],"category_scores_gemma":[0.00021620923,0.00010560166,0.000022152899,0.00022138486,0.00043472188,0.00037089747,0.00007251523,0.00015397416,0.0000027319259],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008058895,0.000034412882,0.7795239,0.00002835162,0.000010644901,0.000014904357,0.00022021259,3.2391839e-7,0.00049426086,0.0044904333,0.00043013846,0.2146718],"study_design_scores_gemma":[0.0009238482,0.000046868114,0.8496812,0.0001262384,0.000011200091,3.9495373e-7,0.0022311679,0.000010325373,0.00010001764,0.0030425144,0.14356463,0.000261616],"about_ca_topic_score_codex":0.71732396,"about_ca_topic_score_gemma":0.9913467,"teacher_disagreement_score":0.2740228,"about_ca_system_score_codex":0.0002795624,"about_ca_system_score_gemma":0.00033912965,"threshold_uncertainty_score":0.4306311},"labels":[],"label_agreement":null},{"id":"W2536978687","doi":"10.1249/mss.0000000000001131","title":"Construct Validity of the Neighborhood Environment Walkability Scale for Africa","year":2016,"lang":"en","type":"article","venue":"Medicine & Science in Sports & Exercise","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Heart, Lung, and Blood Institute; Canadian Institutes of Health Research; National Institutes of Health; International Development Research Centre","keywords":"Walkability; Recreation; Geography; Socioeconomic status; Environmental health; Scale (ratio); Built environment; Physical activity; Socioeconomics; Gerontology; Psychology; Medicine; Population; Cartography; Political science; Physical therapy; Ecology; Sociology","score_opus":0.025791088903133103,"score_gpt":0.28277570659526163,"score_spread":0.25698461769212855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2536978687","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9884653,0.000029091227,0.00024703125,0.002814974,0.0006644814,0.00086290826,0.00001362336,0.000021353302,0.00688125],"genre_scores_gemma":[0.9988871,0.00008565752,0.00018204104,0.000024265037,0.000092681934,0.000042731208,4.4576828e-7,0.00000521266,0.00067986705],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971153,0.0000621073,0.0005299419,0.0005277281,0.0012494813,0.0005154502],"domain_scores_gemma":[0.99864304,0.00021325485,0.00022865034,0.0006133627,0.00011212886,0.00018958612],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004781145,0.00013724071,0.00035125038,0.00009077011,0.00044732096,0.000011169541,0.00093201397,0.00006538122,0.0010488558],"category_scores_gemma":[0.0004850178,0.000069523245,0.000097337834,0.00075633376,0.008782428,0.0005278981,0.00007027507,0.0000857237,0.0000020491148],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001813082,0.00008829795,0.96542364,0.0000124236885,9.132682e-8,8.7332484e-7,0.0034343128,6.204718e-7,0.00042240167,0.00009963129,0.00009719006,0.030402394],"study_design_scores_gemma":[0.00040044787,0.0000334259,0.9840271,0.00017064455,0.00002279729,1.6001937e-7,0.001254792,0.0000059092845,0.00031264676,0.009699237,0.003968041,0.000104790386],"about_ca_topic_score_codex":0.00059075747,"about_ca_topic_score_gemma":0.0003539409,"teacher_disagreement_score":0.030297603,"about_ca_system_score_codex":0.00020416608,"about_ca_system_score_gemma":0.00047287263,"threshold_uncertainty_score":0.99986434},"labels":[],"label_agreement":null},{"id":"W2537991512","doi":"10.1016/j.jalz.2016.06.337","title":"O1‐08‐03: Life Space and Cognitive Function in Non‐Demented Older Men","year":2016,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Cognition; Dementia; Gerontology; Marital status; Activities of daily living; Psychology; Cohort; Cognitive test; Medicine; Demography; Psychiatry; Population; Sociology","score_opus":0.02171773477428954,"score_gpt":0.2825229944192846,"score_spread":0.260805259644995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2537991512","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93986285,0.020982815,0.0011330845,0.003350567,0.00047491485,0.0008957192,0.000020128155,0.000104613915,0.033175293],"genre_scores_gemma":[0.99923253,0.0000952896,0.00006217114,0.00027847523,0.00012864951,0.000036876867,0.000009051067,0.000011552054,0.00014542897],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99864906,0.00010524961,0.00024455678,0.0003679673,0.00027495247,0.00035821897],"domain_scores_gemma":[0.99946755,0.000087538436,0.00009214208,0.00011814908,0.000078758436,0.00015586772],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005299814,0.00013521595,0.00015795321,0.00007232272,0.00022948664,0.000051592368,0.0001214472,0.00009228679,0.0014584607],"category_scores_gemma":[0.000041411717,0.00010548402,0.000043814853,0.00022560314,0.00023875899,0.00053584686,0.00003619835,0.00007635562,0.000117746946],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000076160286,0.0001222596,0.9500497,0.0000030260276,0.0016524572,0.00000373219,0.0024383517,5.255871e-8,0.0004378535,0.0005873931,0.0021085304,0.04252051],"study_design_scores_gemma":[0.0012712377,0.000039773713,0.9872265,0.000046785386,0.0030612405,4.8490037e-8,0.0014031397,0.000004384651,0.00094634196,0.00061237655,0.0051860027,0.00020219239],"about_ca_topic_score_codex":0.0018972838,"about_ca_topic_score_gemma":0.0037918463,"teacher_disagreement_score":0.059369642,"about_ca_system_score_codex":0.000007211781,"about_ca_system_score_gemma":0.000080499834,"threshold_uncertainty_score":0.9994543},"labels":[],"label_agreement":null},{"id":"W2538386503","doi":"10.17140/semoj-2-135","title":"Promoting the Health Benefits of Walking and Bicycling to Work: A Qualitative Exploration of the Role of Healthcare Providers in Addressing Barriers to Active Commuting","year":2016,"lang":"en","type":"article","venue":"Sports and Exercise Medicine - Open Journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"St. Michael's Hospital; McMaster University; Kraft Heinz (Canada)","funders":"Ministerio de Economía y Competitividad; McMaster University","keywords":"Work (physics); Qualitative research; Health care; Health benefits; Medicine; Engineering; Sociology; Economic growth; Economics","score_opus":0.07604772907917448,"score_gpt":0.39658736029147335,"score_spread":0.3205396312122989,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2538386503","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96448874,0.0010605465,0.000035597026,0.03338443,0.00007294631,0.0008512319,0.000003795092,0.0000020952334,0.000100613135],"genre_scores_gemma":[0.9993941,0.00020723592,0.00018240754,0.00014146372,0.000051502233,0.0000088476645,3.694049e-7,0.000006011985,0.000008030784],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9982505,0.00031202237,0.0006587723,0.00015489999,0.00039514992,0.0002286718],"domain_scores_gemma":[0.9985883,0.00018316103,0.00069450616,0.00011467622,0.0001751388,0.0002441729],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005810766,0.000087138724,0.00039778062,0.000093773684,0.000594879,0.00003223452,0.00026055198,0.000031946423,0.000018297806],"category_scores_gemma":[0.0006015061,0.0000420153,0.000025811252,0.00043074612,0.00030085686,0.00058329146,0.00008238529,0.00016138435,1.4295873e-8],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013503105,0.000009170773,0.17577924,0.000038709863,0.0000034797793,3.1841782e-7,0.55731267,0.000004108063,0.00008463643,0.00008344916,0.0000047431345,0.26654443],"study_design_scores_gemma":[0.00049563317,0.00014949394,0.24557206,0.014565449,0.000017891152,7.233072e-7,0.73515487,0.0000046489886,0.0006492675,0.00324899,0.00006521292,0.00007577662],"about_ca_topic_score_codex":0.009185194,"about_ca_topic_score_gemma":0.0054819994,"teacher_disagreement_score":0.26646864,"about_ca_system_score_codex":0.000053483618,"about_ca_system_score_gemma":0.00039956853,"threshold_uncertainty_score":0.99741274},"labels":[],"label_agreement":null},{"id":"W2542539319","doi":"","title":"Waterfront Toronto's Design Review Panel: A Case for Clear Indicators","year":2015,"lang":"en","type":"review","venue":"UWSpace (University of Waterloo)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Engineering; Regional science; Transport engineering; Geography","score_opus":0.09657424561091855,"score_gpt":0.3174215785044531,"score_spread":0.22084733289353453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2542539319","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00022170598,0.9959313,0.00008525562,0.00028729893,0.0002148167,0.0026091365,0.00015696931,0.00009748525,0.00039597505],"genre_scores_gemma":[0.000023620172,0.9488277,0.0016613443,0.000019349702,0.00010339516,0.00000558199,0.00008857624,0.000032229174,0.049238224],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99764663,0.00053545646,0.0003352719,0.0005616123,0.0004076367,0.00051340275],"domain_scores_gemma":[0.9982901,0.0001183413,0.0005439067,0.00049030303,0.00019584918,0.00036149155],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0019468637,0.00034963957,0.0017605649,0.00011608234,0.00050861505,0.00003109571,0.00088462996,0.00044171946,0.00071472744],"category_scores_gemma":[0.000044452565,0.00032310977,0.0007156636,0.00028965928,0.00043025898,0.0004972476,0.00008893855,0.00020463292,0.000047648977],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050697377,0.00014042044,0.0000324593,0.040245615,0.00026448592,0.00047175042,0.06353116,2.031471e-7,6.5843956e-8,0.00011769503,0.021828111,0.87331736],"study_design_scores_gemma":[0.00023133884,0.00011101471,0.0000023782495,0.0068349615,0.001764181,0.000008480656,0.017193718,9.280551e-7,2.0581139e-7,0.000043388987,0.9734236,0.00038580157],"about_ca_topic_score_codex":0.17428918,"about_ca_topic_score_gemma":0.14858893,"teacher_disagreement_score":0.9515955,"about_ca_system_score_codex":0.00058095984,"about_ca_system_score_gemma":0.0007906737,"threshold_uncertainty_score":0.9999221},"labels":[],"label_agreement":null},{"id":"W2545551806","doi":"10.2495/tdi-v1-n3-348-358","title":"Relationship between accessibility improvement and residential property appreciation: An observation from shanghai metro","year":2017,"lang":"en","type":"article","venue":"International Journal of Transport Development and Integration","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Education and Child Care","funders":"","keywords":"Property (philosophy); Transport engineering; Business; Architectural engineering; Engineering; Philosophy","score_opus":0.09199366298445907,"score_gpt":0.34803657738851324,"score_spread":0.25604291440405413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2545551806","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9894801,0.00005453129,0.0076562166,0.0014904108,0.00062108116,0.00018212244,0.00001832828,0.000015384696,0.00048186292],"genre_scores_gemma":[0.9930969,0.000028528408,0.005757636,0.00004497296,0.0006858644,0.0000064278647,0.00015972517,0.000006940654,0.00021300091],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99812275,0.00006486558,0.000726524,0.00023786015,0.0007237687,0.00012424414],"domain_scores_gemma":[0.9983147,0.000081322534,0.00071610644,0.0001375305,0.0006200778,0.00013026166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013570564,0.0001278764,0.00019588797,0.00012245539,0.00071437896,0.00044622252,0.0004836003,0.000100247235,0.00006725991],"category_scores_gemma":[0.00024623753,0.00009452276,0.000049307466,0.000047641443,0.00016045559,0.0035153027,0.000018672332,0.00019584507,8.1402067e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001293026,0.000059670638,0.9298796,0.000004588926,0.00004838521,0.0000034588343,0.004902224,4.083175e-7,0.00022504214,0.00029540592,0.00001213951,0.06443977],"study_design_scores_gemma":[0.000587638,0.000064309854,0.98944694,0.00006348594,0.000049594713,2.0748917e-7,0.0006868813,0.00001690011,0.0018088622,0.0063072294,0.00084315473,0.00012482035],"about_ca_topic_score_codex":0.0026162523,"about_ca_topic_score_gemma":0.013811429,"teacher_disagreement_score":0.064314954,"about_ca_system_score_codex":0.00016143052,"about_ca_system_score_gemma":0.0002982452,"threshold_uncertainty_score":0.7707102},"labels":[],"label_agreement":null},{"id":"W2546073190","doi":"10.4000/articulo.3128","title":"What Does Neighborhood Theory Mean for Ecourbanism? Introduction to the Themed Issue on ‘Ecourbanism Worldwide’","year":2016,"lang":"en","type":"article","venue":"Articulo – revue de sciences humaines","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Sustainability; Scale (ratio); Status quo; Legitimacy; Set (abstract data type); Political science; Environmental planning; Economic growth; Geography; Economics; Politics; Computer science; Ecology","score_opus":0.019129900308717987,"score_gpt":0.29580268988398556,"score_spread":0.2766727895752676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2546073190","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65186125,0.00024079569,0.0035657748,0.33103397,0.00570641,0.0014954832,0.000020111713,0.00021759408,0.0058585703],"genre_scores_gemma":[0.9810932,0.000068729205,0.00039426165,0.0014946783,0.0064363256,0.00014667294,0.0000017785945,0.000015902502,0.010348408],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99744326,0.00028659028,0.00035332993,0.0007055932,0.0004547013,0.00075650716],"domain_scores_gemma":[0.99814516,0.0008347824,0.0001537729,0.0004823629,0.00017515861,0.00020874463],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.004632388,0.00020449921,0.00022115232,0.000116441195,0.0021966514,0.00054580846,0.0009184332,0.00007864803,0.00073993223],"category_scores_gemma":[0.0007340898,0.000096644326,0.00015621945,0.0006015475,0.0010843818,0.0012310306,0.000045069664,0.00009086219,0.000121626144],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020539577,0.0002684406,0.021987824,0.000047088924,0.000058245845,0.000004557319,0.05655665,0.00014957953,0.0053516505,0.8210816,0.014857914,0.07943108],"study_design_scores_gemma":[0.00073806476,0.0004745199,0.024180645,0.00026811383,0.0001115317,0.0000022381914,0.03325207,0.00012382898,0.011837835,0.47569856,0.45250776,0.0008048183],"about_ca_topic_score_codex":0.00014712857,"about_ca_topic_score_gemma":0.008284297,"teacher_disagreement_score":0.43764985,"about_ca_system_score_codex":0.00016040204,"about_ca_system_score_gemma":0.00019833923,"threshold_uncertainty_score":0.99910235},"labels":[],"label_agreement":null},{"id":"W2546631101","doi":"","title":"How Should Planners Respond to the Eddington Report","year":2009,"lang":"en","type":"article","venue":"Planning News","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Public transport; Work (physics); Public relations; Business; Political science; Law; Engineering","score_opus":0.07493036980442888,"score_gpt":0.36615498861588935,"score_spread":0.29122461881146045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2546631101","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86950564,0.0001626752,0.000517019,0.07011325,0.00052971503,0.00028971324,0.0000060422894,0.00017117643,0.058704782],"genre_scores_gemma":[0.9824813,0.0000027727353,0.0003407024,0.0019235794,0.0006781927,0.000006037673,0.000013480693,0.000006026555,0.0145478975],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99869615,0.00007160231,0.00017266616,0.00029120862,0.0004136744,0.00035468212],"domain_scores_gemma":[0.9993254,0.00010011583,0.00008402395,0.00030022155,0.000039430317,0.00015084023],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008876962,0.00010553454,0.00013525486,0.00005728053,0.0005712173,0.00026951177,0.00039953884,0.00008462581,0.000033214197],"category_scores_gemma":[0.00039763248,0.00007355077,0.00006154452,0.00034946916,0.00006521495,0.00023492216,0.000012223005,0.00018398787,0.000017020757],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017340938,0.0000588377,0.7355232,0.000004997507,0.000016959924,0.00045470902,0.041212145,0.00015570018,0.00042750826,0.0012508077,0.20799543,0.012726283],"study_design_scores_gemma":[0.000076425575,0.000039986317,0.14367898,0.000023505825,0.000011330379,0.0000020863554,0.0037417552,0.000008748845,0.0001272117,0.0005885535,0.85155815,0.0001432895],"about_ca_topic_score_codex":0.0010061531,"about_ca_topic_score_gemma":0.001253938,"teacher_disagreement_score":0.6435627,"about_ca_system_score_codex":0.000047496782,"about_ca_system_score_gemma":0.00009128563,"threshold_uncertainty_score":0.4393399},"labels":[],"label_agreement":null},{"id":"W2547403363","doi":"","title":"A Comparative Analysis Of Public Access Along The Waterfront Walkways Of Kingston And Belleville, Ontario","year":2013,"lang":"en","type":"article","venue":"QSpace (Queen's University Library)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geography; Business","score_opus":0.024041478592148564,"score_gpt":0.23384687925815342,"score_spread":0.20980540066600487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2547403363","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9606992,0.000023404931,0.00009513754,0.018156571,0.000032454984,0.00030386203,0.000016467518,0.000038109436,0.020634802],"genre_scores_gemma":[0.9840782,0.000051104722,0.00019388762,0.000038073693,0.000011508654,7.8290464e-7,0.0000213795,0.000003880635,0.015601164],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987968,0.00022701667,0.00017737884,0.0002651297,0.0002800317,0.00025362952],"domain_scores_gemma":[0.9991101,0.00014781294,0.00022843621,0.00026202164,0.00011011555,0.00014152851],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00015034588,0.00012644196,0.00041101663,0.00027478972,0.000398792,0.00011471219,0.00070052687,0.0000881626,0.002161262],"category_scores_gemma":[0.000009193593,0.000098180215,0.00016360292,0.001176962,0.0007315586,0.0029589522,0.00020457768,0.00015156642,0.0000026822374],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018172765,0.0000674518,0.9714042,0.000012441256,0.00031714147,0.0000020280684,0.021707267,0.000011798258,0.0000040924947,0.0022261632,0.004134329,0.00009489462],"study_design_scores_gemma":[0.00016563172,0.000025807438,0.97217876,0.0000123515665,0.00030183932,4.710951e-9,0.008586912,0.000011751409,0.00042770986,0.00020548857,0.017962405,0.0001213455],"about_ca_topic_score_codex":0.7748101,"about_ca_topic_score_gemma":0.3882995,"teacher_disagreement_score":0.3865106,"about_ca_system_score_codex":0.00007404949,"about_ca_system_score_gemma":0.00025891533,"threshold_uncertainty_score":0.9987509},"labels":[],"label_agreement":null},{"id":"W2547771863","doi":"10.36939/cjur/vol25no1/art24","title":"Cycling, Performance and the Common Good: Copenhagenizing Canada’s Capital","year":2016,"lang":"en","type":"article","venue":"Canadian journal of urban research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Cycling; Morality; Embodied cognition; Capital (architecture); Sociology; Political science; Geography; Law; Computer science; Archaeology","score_opus":0.04807594858751442,"score_gpt":0.3236138486368892,"score_spread":0.2755379000493748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2547771863","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.973006,0.0018286844,0.0000026403907,0.008456739,0.00024082059,0.00014197646,0.000010428654,0.0000020797763,0.0163106],"genre_scores_gemma":[0.9961003,0.00012149363,0.000009095444,0.00007648312,0.00029924308,0.0000016105195,2.893331e-7,0.0000072292464,0.0033842488],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99789506,0.0004973727,0.00027760825,0.00011290814,0.0006427817,0.00057425536],"domain_scores_gemma":[0.99795264,0.0006333239,0.000089603105,0.00015203058,0.00038161807,0.00079076964],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005659139,0.00006819939,0.00017528009,0.00012727953,0.0012656808,0.0001489163,0.00060969393,0.00005374071,0.00043545253],"category_scores_gemma":[0.000457434,0.000037644462,0.000043415268,0.00022738583,0.0015156036,0.00030673717,0.000014938075,0.00040191636,0.0000071396457],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005004094,0.0000037144098,0.9627993,0.000011017613,0.000018864359,0.00008918073,0.003726319,3.1125177e-7,0.000021318567,0.0028493134,0.026200315,0.004230292],"study_design_scores_gemma":[0.0012021256,0.00006357074,0.7902313,0.00017997516,0.000013824033,0.000009325944,0.0035225614,0.0000043138084,0.00015606593,0.0009723885,0.20350656,0.00013802745],"about_ca_topic_score_codex":0.94712055,"about_ca_topic_score_gemma":0.9977122,"teacher_disagreement_score":0.17730623,"about_ca_system_score_codex":0.00051153405,"about_ca_system_score_gemma":0.011151127,"threshold_uncertainty_score":0.99445474},"labels":[],"label_agreement":null},{"id":"W2548201406","doi":"10.1007/s12160-016-9852-2","title":"Direct and Indirect Associations Between the Built Environment and Leisure and Utilitarian Walking in Older Women","year":2016,"lang":"en","type":"article","venue":"Annals of Behavioral Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"National Cancer Institute; National Institutes of Health","keywords":"Built environment; Walkability; Health psychology; Environmental health; Level design; Psychological intervention; Population; Bootstrapping (finance); Psychology; Gerontology; Odds; Medicine; Public health; Engineering; Logistic regression; Business; Computer science","score_opus":0.09033578817478827,"score_gpt":0.36750726435858516,"score_spread":0.2771714761837969,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2548201406","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99098647,0.0010956754,0.000002402072,0.007366343,0.000027561618,0.00020328433,0.000032859083,0.0000096157155,0.00027576863],"genre_scores_gemma":[0.9991073,0.0006160628,0.0000086020555,0.000048889535,0.0000752775,0.000011367349,0.0000031225952,0.0000044380945,0.00012492215],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99899375,0.00012633258,0.00023513082,0.00018794094,0.00023554846,0.00022127635],"domain_scores_gemma":[0.9994328,0.00024578604,0.00009393687,0.00010175667,0.000021358193,0.000104373226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014854708,0.00008340175,0.00026873665,0.000053823314,0.00016468069,0.000009327307,0.0000836706,0.00007313412,0.00009475007],"category_scores_gemma":[0.000062312,0.000046885616,0.000014942851,0.00010024498,0.000713553,0.00015906697,0.000027345346,0.00007142499,2.717797e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004649167,0.000026640693,0.93279076,0.000004036321,0.000006789082,0.000001191725,0.015617367,3.888426e-9,0.00015118062,0.000018932742,0.00003924417,0.051339217],"study_design_scores_gemma":[0.000345031,0.000084182866,0.9956927,0.00006928044,0.000028405953,5.1927994e-8,0.0019358771,6.436455e-8,0.00014440306,0.00065011263,0.0009886306,0.000061260886],"about_ca_topic_score_codex":0.005497065,"about_ca_topic_score_gemma":0.002682744,"teacher_disagreement_score":0.06290195,"about_ca_system_score_codex":0.000023852544,"about_ca_system_score_gemma":0.000020115705,"threshold_uncertainty_score":0.8309954},"labels":[],"label_agreement":null},{"id":"W254992548","doi":"","title":"Synopsis of Bicycle Demand in the City of Toronto: Application of an Integrated Econometric Model with Latent Variables","year":2014,"lang":"en","type":"article","venue":"Transportation Research Board 93rd Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Latent variable; Car ownership; Econometric model; Perception; Transport engineering; Cycling; Business; Demographic economics; Econometrics; Geography; Psychology; Economics; Computer science; Public transport; Engineering","score_opus":0.05367541136303697,"score_gpt":0.38107046659404764,"score_spread":0.32739505523101065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W254992548","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98835814,0.00013299713,0.0067273774,0.00036012955,0.000023877375,0.0016514444,0.0003251177,0.000039163147,0.0023817727],"genre_scores_gemma":[0.99577665,0.00019466192,0.003316008,0.000013353763,0.000042547137,0.00024490408,0.0002702114,0.00003118562,0.00011049651],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.991703,0.0018800063,0.0014872267,0.00072217634,0.0033457663,0.0008618512],"domain_scores_gemma":[0.9935058,0.0015160413,0.00046649794,0.0006646181,0.0035783814,0.00026867914],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016160894,0.0002464313,0.00063187955,0.00073843304,0.00043428177,0.000053374948,0.0011486172,0.00027551324,0.00015159535],"category_scores_gemma":[0.00040095137,0.00019491365,0.00015052174,0.0032835638,0.0017672605,0.0011406826,0.000006649319,0.00070490805,0.0000015564107],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013422412,0.0012568729,0.91700655,0.00061186333,0.00006662377,0.000004573742,0.044093575,0.012115909,0.0017617218,0.016459282,0.00004156401,0.0052392404],"study_design_scores_gemma":[0.0010824213,0.0006807023,0.9660271,0.00017915077,0.00004555578,2.8564537e-8,0.020307485,0.0055775917,0.0024302022,0.0029375064,0.0005048624,0.00022744243],"about_ca_topic_score_codex":0.2612105,"about_ca_topic_score_gemma":0.45334598,"teacher_disagreement_score":0.1921355,"about_ca_system_score_codex":0.00016757436,"about_ca_system_score_gemma":0.0007397691,"threshold_uncertainty_score":0.7948348},"labels":[],"label_agreement":null},{"id":"W2550787464","doi":"","title":"DO CANADIANS ENJOY CONGESTED TRAVEL? MEASURING COMMUTE SATISFACTION AND THE EFFECTS OF CONGESTION IN CANADIAN CITIES","year":2013,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Traffic congestion; Business; Advertising; Demographic economics; Transport engineering; Economics; Engineering","score_opus":0.013821276671740943,"score_gpt":0.23387910814291837,"score_spread":0.22005783147117744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2550787464","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9845029,0.00020664059,0.000003744663,0.0016194979,0.00012776181,0.00052283664,0.000003589231,0.000011301881,0.013001708],"genre_scores_gemma":[0.9995045,0.000054293585,0.0000106384605,0.00011022672,0.00001955351,0.000027956105,0.0000015998864,0.0000034610396,0.0002677921],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99919325,0.00018425242,0.00015329414,0.00010169623,0.00013077467,0.00023671123],"domain_scores_gemma":[0.99934846,0.00029506264,0.00004059734,0.000093963085,0.00005947784,0.0001624543],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005355544,0.00006323105,0.00014300333,0.00008083917,0.00022545042,0.00006417142,0.00008002577,0.00006974843,0.0001526093],"category_scores_gemma":[0.00014832639,0.00004682744,0.000020443124,0.00014124151,0.0004652101,0.00023104201,0.0000034282211,0.00009678503,0.0000018548153],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004540804,0.0000027109832,0.9767889,0.00002595706,0.0000071107834,0.0000010090927,0.012959238,0.0000010134592,0.00005667892,0.0057606148,0.00004294204,0.0043493165],"study_design_scores_gemma":[0.00043921277,0.000007477709,0.99286073,0.000031651023,0.000009817215,1.1933658e-7,0.0051637813,0.000024731678,0.0000833753,0.0012447715,0.00007366644,0.00006064946],"about_ca_topic_score_codex":0.9989217,"about_ca_topic_score_gemma":0.99974674,"teacher_disagreement_score":0.016071878,"about_ca_system_score_codex":0.00014235897,"about_ca_system_score_gemma":0.0003025534,"threshold_uncertainty_score":0.19095676},"labels":[],"label_agreement":null},{"id":"W2551389887","doi":"10.1016/j.trd.2016.10.036","title":"The net effects of the built environment on household vehicle emissions: A case study of Austin, TX","year":2016,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":41,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Greenhouse gas; Built environment; Vehicle miles of travel; Environmental science; Work (physics); Car ownership; Transport engineering; Automotive engineering; Environmental engineering; Engineering; Civil engineering; Public transport","score_opus":0.06797857385148447,"score_gpt":0.3332848714058949,"score_spread":0.26530629755441043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2551389887","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99688804,0.00025210602,0.000047115172,0.00092987693,0.00007861773,0.0016070654,0.000059571237,0.000017589231,0.00011999932],"genre_scores_gemma":[0.9974154,0.0014793702,0.000010959334,0.000013452396,0.000041850737,0.00017958855,0.000004365206,0.000017759481,0.00083722814],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99674624,0.00034242411,0.00060566893,0.00043048817,0.0014046537,0.00047050233],"domain_scores_gemma":[0.9983507,0.0006770779,0.0001597152,0.0005732663,0.000027851704,0.00021138594],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014817106,0.00018273992,0.0002507059,0.000057488836,0.0010638395,0.000012663203,0.00037171127,0.00010268562,0.00016572105],"category_scores_gemma":[0.000021001755,0.000095094365,0.00012029763,0.00019936754,0.0014119474,0.00012984483,0.00000919345,0.00025365184,0.0000032474413],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021249558,0.0013177415,0.9761031,0.00007758176,0.00007111294,0.00016329171,0.013657058,0.0001485984,0.0018796464,0.00025352594,0.00008579411,0.0060300413],"study_design_scores_gemma":[0.0014194128,0.0004725461,0.9782398,0.00011868775,0.000091705646,4.549885e-7,0.00584526,0.0000020895775,0.0027875565,0.00028908165,0.010588702,0.00014470768],"about_ca_topic_score_codex":0.0049109394,"about_ca_topic_score_gemma":0.007690114,"teacher_disagreement_score":0.010502908,"about_ca_system_score_codex":0.00006580513,"about_ca_system_score_gemma":0.00007146532,"threshold_uncertainty_score":0.8182301},"labels":[],"label_agreement":null},{"id":"W2552169428","doi":"10.22038/apjmt.2016.7890","title":"Is Play-Dough a Vector for Transporting and Accumulating Lead? A Pilot Study Of Daycares in Greater Vancouver","year":2016,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia; BC Centre for Disease Control; Simon Fraser University","funders":"","keywords":"Medicine; Lead (geology); Vector (molecular biology); Genetics; Gene","score_opus":0.397603767046334,"score_gpt":0.5625356420660776,"score_spread":0.16493187501974366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2552169428","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961248,0.0010200792,0.00017450453,0.00012696812,0.0003170967,0.0012825801,0.000066831846,0.000024310833,0.00086283823],"genre_scores_gemma":[0.9990573,0.0002549322,0.00012249035,0.00006488441,0.00013955717,0.00007110218,0.0000014514317,0.00003271204,0.00025559057],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968149,0.00023904891,0.0012464072,0.0005543268,0.0006601185,0.00048519857],"domain_scores_gemma":[0.9977065,0.0006169363,0.00091056235,0.00030338226,0.00029320247,0.00016945177],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0022324007,0.00026770803,0.0008340856,0.00040540297,0.00036392757,0.0003427667,0.0013769462,0.00008533305,0.0017237635],"category_scores_gemma":[0.00032418076,0.00019779746,0.00012523538,0.00069536397,0.0002605561,0.0028495512,0.0001377341,0.00018201151,6.407334e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005149803,0.0005305767,0.9667303,0.000089826324,0.00008614766,0.000011094713,0.0107041765,0.000006730078,0.0140678575,0.000012410565,0.0007432822,0.006502601],"study_design_scores_gemma":[0.0018476447,0.00009355026,0.98806113,0.00047783685,0.00007971336,1.5768804e-7,0.0022214956,0.000008267663,0.0049450914,0.0016284393,0.00034748015,0.0002891967],"about_ca_topic_score_codex":0.011918893,"about_ca_topic_score_gemma":0.051959235,"teacher_disagreement_score":0.040040344,"about_ca_system_score_codex":0.00008909768,"about_ca_system_score_gemma":0.0001622562,"threshold_uncertainty_score":0.9991888},"labels":[],"label_agreement":null},{"id":"W2552285419","doi":"10.1002/atr.1429","title":"Retracted: Modeling access to public transport in urban areas","year":2016,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":23,"is_retracted":true,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Public transport; Metropolitan area; Index (typography); Context (archaeology); Transport engineering; Computer science; Logistic regression; Regression analysis; Population; Measure (data warehouse); Logit; Regional science; Econometrics; Geography; Engineering; Economics; Data mining; Environmental health; Machine learning","score_opus":0.0360330534332921,"score_gpt":0.3264236402208973,"score_spread":0.2903905867876052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2552285419","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9741176,0.000097462536,0.020635623,0.0038752058,0.00046534606,0.00025581013,0.00001662133,0.00003236206,0.000504015],"genre_scores_gemma":[0.9982292,0.00015812588,0.0011094271,0.00012289382,0.00026747337,0.000007658003,0.000008169136,0.000017258253,0.000079783305],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976543,0.00005984749,0.000955408,0.00024060797,0.00070975046,0.00038007397],"domain_scores_gemma":[0.99867374,0.00007221058,0.000332643,0.00014064106,0.00047323137,0.00030753037],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009560766,0.00014652117,0.00031842128,0.00037307583,0.00012491974,0.00004511656,0.0004793592,0.00014477017,0.00015450815],"category_scores_gemma":[0.000105697,0.0001114669,0.0001609086,0.0007738704,0.000067950925,0.0037341525,0.0000013113797,0.0002528206,0.0000030641334],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003449321,0.00017304903,0.96770763,0.000019805118,0.000016630209,0.00006450004,0.008811548,0.004301719,0.0018241598,0.0006493974,0.000031599106,0.016055029],"study_design_scores_gemma":[0.0010930375,0.00006957957,0.9911488,0.00022892084,0.000026778574,4.6401695e-7,0.0010096378,0.0000086661485,0.00027727953,0.0024365406,0.0035029654,0.00019729824],"about_ca_topic_score_codex":0.00021174487,"about_ca_topic_score_gemma":0.015468697,"teacher_disagreement_score":0.024111658,"about_ca_system_score_codex":0.00019303446,"about_ca_system_score_gemma":0.0003454171,"threshold_uncertainty_score":0.86318964},"labels":[],"label_agreement":null},{"id":"W2553777391","doi":"10.1123/jpah.2016-0299","title":"Is our Youth Cycling to Health? Results From the Netherlands’ 2016 Report Card on Physical Activity for Children and Youth","year":2016,"lang":"en","type":"article","venue":"Journal of Physical Activity and Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Children's Hospital of Eastern Ontario","funders":"Universiteit Utrecht; National Science Foundation","keywords":"Report card; Physical activity; Sedentary behavior; Government (linguistics); Cycling; Active living; Psychology; Medicine; Environmental health; Physical therapy; Geography","score_opus":0.08470452987066965,"score_gpt":0.3918186451201431,"score_spread":0.3071141152494734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2553777391","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92007804,0.00004425527,0.00045149427,0.077977374,0.00014022047,0.00041823657,0.00083359575,0.000013750797,0.000043007236],"genre_scores_gemma":[0.99628556,0.0001000289,0.000037157217,0.0006366201,0.0028631454,0.000002085406,0.000004971078,0.000011311769,0.000059132646],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9981824,0.00027196028,0.00029619026,0.0003769568,0.00046845467,0.00040403949],"domain_scores_gemma":[0.998012,0.0004974444,0.000710896,0.00021454117,0.000090106965,0.0004749871],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017578402,0.00016860283,0.0005927289,0.000033578108,0.0007228083,0.00007180232,0.0001818909,0.00006377158,6.79725e-7],"category_scores_gemma":[0.00017677163,0.00008925159,0.00019865607,0.0001139141,0.00011762953,0.00038373042,0.000029788143,0.00034076828,0.0000010762706],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004699446,0.0031348737,0.10110608,0.000052226533,0.00025271825,0.0000057393886,0.24858636,0.0000047486096,0.000806164,0.00028668265,0.0046623345,0.6364026],"study_design_scores_gemma":[0.001609142,0.0012323802,0.99171555,0.00030551068,0.000053210886,0.0000010426796,0.0022865909,0.000013517858,0.00058310525,0.0018083857,0.00020986855,0.0001817095],"about_ca_topic_score_codex":0.013327387,"about_ca_topic_score_gemma":0.001370724,"teacher_disagreement_score":0.89060944,"about_ca_system_score_codex":0.00014002687,"about_ca_system_score_gemma":0.000540892,"threshold_uncertainty_score":0.993243},"labels":[],"label_agreement":null},{"id":"W2554347385","doi":"10.1080/01441647.2016.1252446","title":"Exploring active transportation investments and associated benefits for municipal budgets: a scoping review","year":2016,"lang":"en","type":"review","venue":"Transport Reviews","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute for Clinical Evaluative Sciences; Western University; Barrie Urology Group; Public Health Ontario; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Revenue; Business; Investment (military); Tax revenue; Public economics; Cost–benefit analysis; Finance; Economics","score_opus":0.35489282909025044,"score_gpt":0.43285344055237646,"score_spread":0.07796061146212602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2554347385","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00011731723,0.9847145,0.000035940106,0.00008281369,0.00037336818,0.013215369,0.0008542936,0.00014153827,0.00046482377],"genre_scores_gemma":[0.000012705235,0.99228823,0.00017180703,0.00019233063,0.00023823595,0.005475589,0.0012736901,0.00009602244,0.0002514059],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99453044,0.0005126541,0.002494935,0.0011075578,0.0005196564,0.00083474396],"domain_scores_gemma":[0.99705416,0.00038356162,0.0014762254,0.00053443323,0.00016232907,0.00038931306],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0028734766,0.0008308994,0.0045430474,0.0001649197,0.0005898416,0.000039464012,0.00061898463,0.00040707487,0.00020695249],"category_scores_gemma":[0.00025057967,0.0006207452,0.0014344086,0.00068973115,0.0002920217,0.0011243379,0.0000071607583,0.00037917012,0.00002755069],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000068101654,0.00006188978,0.00012238044,0.16512053,0.00011695043,0.0000034188188,0.0012676609,1.2647825e-8,3.6489435e-8,0.00024022028,0.000041166724,0.83301896],"study_design_scores_gemma":[0.0001920244,0.00002133448,0.00022692356,0.441952,0.0016489865,1.450224e-7,0.00001823549,1.9719415e-8,2.287797e-7,0.000036586633,0.55547035,0.0004331743],"about_ca_topic_score_codex":0.00040395855,"about_ca_topic_score_gemma":0.00866594,"teacher_disagreement_score":0.83258575,"about_ca_system_score_codex":0.00028253693,"about_ca_system_score_gemma":0.00064820645,"threshold_uncertainty_score":0.9996244},"labels":[],"label_agreement":null},{"id":"W2555726166","doi":"10.2196/mhealth.5771","title":"Benefits of Mobile Phone Technology for Personal Environmental Monitoring","year":2016,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Environmental Health Sciences; National Institutes of Health","keywords":"Geolocation; Global Positioning System; Mobile phone; Computer science; Mobile phone tracking; Phone; Matching (statistics); Activity tracker; Tracking (education); Mobile technology; Mobile computing; Geography; Statistics; Telecommunications; Psychology; GSM services; Mathematics; World Wide Web","score_opus":0.041494403585148845,"score_gpt":0.35965041983814977,"score_spread":0.31815601625300094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2555726166","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952599,0.0023707806,0.00004652459,0.001426668,0.00017520534,0.0004656248,0.000093546725,0.00003795782,0.00012380115],"genre_scores_gemma":[0.9978364,0.0013246065,0.00020611018,0.000033047058,0.00025153684,0.00011149111,0.0000026220084,0.000007257735,0.0002269424],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989714,0.000024793895,0.00023635261,0.00022394051,0.00015925399,0.0003842423],"domain_scores_gemma":[0.99950564,0.00007864655,0.00012371803,0.00007800144,0.000018545434,0.0001954223],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037159998,0.0000768358,0.00017994299,0.000068549045,0.00035297943,0.0000050280028,0.000093045644,0.00011537986,0.000056768007],"category_scores_gemma":[0.000012831313,0.000057559315,0.00003432594,0.00010346817,0.0003106857,0.00011102617,0.000012140441,0.000061905186,0.0000029249939],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006966032,0.00011022102,0.7847835,0.00018140835,0.0000037355483,1.3488884e-7,0.0054484387,5.1632306e-8,0.00034463702,0.00042701332,0.00004924442,0.20858197],"study_design_scores_gemma":[0.0011891989,0.00036019966,0.98334783,0.00008753311,0.000020930893,4.329197e-7,0.004077891,0.000002998551,0.0011359921,0.0009583535,0.008664365,0.0001542849],"about_ca_topic_score_codex":0.00022000204,"about_ca_topic_score_gemma":0.00013735659,"teacher_disagreement_score":0.2084277,"about_ca_system_score_codex":0.00009372372,"about_ca_system_score_gemma":0.0001728621,"threshold_uncertainty_score":0.2714868},"labels":[],"label_agreement":null},{"id":"W2556612719","doi":"","title":"Street Connectivity as a Determinant of Health in Canadian Youth","year":2010,"lang":"en","type":"dissertation","venue":"QSpace (Queen's University Library)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Public Health Agency; Public Health Agency of Canada; World Health Organization; Heart and Stroke Foundation of Canada","keywords":"Geography; Psychology","score_opus":0.009733913179403733,"score_gpt":0.23740012017246145,"score_spread":0.22766620699305773,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2556612719","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9495991,0.000023634366,0.0000011094993,0.008439222,0.00035443768,0.000472677,0.0003291557,0.000064604596,0.04071605],"genre_scores_gemma":[0.9613147,0.00012961461,0.00008166282,0.00006226877,0.000041707557,4.7633205e-7,0.0007135811,0.000020724816,0.037635293],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981316,0.00030702676,0.00023331013,0.0004578389,0.00026840836,0.00060183986],"domain_scores_gemma":[0.9987161,0.00007184837,0.00035616165,0.00030656374,0.00005835955,0.0004909761],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00025384303,0.0002270162,0.0005140463,0.00055304676,0.00041714453,0.000042743843,0.00061048486,0.0005384724,0.0004904929],"category_scores_gemma":[0.00005662939,0.0002733216,0.00015191862,0.000694498,0.00019742889,0.0010169708,0.000023238621,0.0006104718,0.0000067317424],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012892563,0.00014227915,0.9494667,0.00017953878,0.000026154921,0.00009484272,0.042825405,8.7683384e-7,0.0000010260039,0.003131954,0.0019557625,0.0020465213],"study_design_scores_gemma":[0.00045186374,0.00009555735,0.871447,0.00029442413,0.00004958224,1.131046e-8,0.08097341,5.063269e-7,0.00027321855,0.00071965397,0.045171604,0.0005231206],"about_ca_topic_score_codex":0.99517083,"about_ca_topic_score_gemma":0.99684167,"teacher_disagreement_score":0.07801966,"about_ca_system_score_codex":0.00034285084,"about_ca_system_score_gemma":0.008349751,"threshold_uncertainty_score":0.9999719},"labels":[],"label_agreement":null},{"id":"W2556766915","doi":"","title":"Analyzing the Impacts of Transit Investments Examining Change in Two Toronto Transit Neighbourhoods","year":2013,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transit (satellite); Transport engineering; Public transport; Business; Engineering","score_opus":0.05422471966287594,"score_gpt":0.34405790270505326,"score_spread":0.2898331830421773,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2556766915","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9723532,0.0006302856,0.00016200735,0.00073671865,0.00008223316,0.00049508526,0.0000025184531,0.000032504104,0.025505422],"genre_scores_gemma":[0.9992587,0.000054711745,0.00013794197,0.00029101968,0.00010235107,0.00003360786,0.000002629565,0.000007839517,0.00011117869],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987212,0.00014492439,0.00031438994,0.00020233144,0.0002481286,0.00036904562],"domain_scores_gemma":[0.9994677,0.0000983278,0.000072767165,0.00019046469,0.000045355388,0.00012543652],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006927757,0.0001155237,0.00020933896,0.000036572103,0.00015747455,0.000057577432,0.00032195414,0.000055059772,0.0025044894],"category_scores_gemma":[0.000022794018,0.00007858121,0.00007106452,0.0003005423,0.00017786556,0.0011453445,0.000008121085,0.00009460413,0.0000067707288],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005300569,0.00005826927,0.9508145,0.000012748912,0.000011785794,8.489097e-7,0.039457854,0.0000015714058,0.0004407958,0.0009958156,0.000015063922,0.008185444],"study_design_scores_gemma":[0.000355832,0.000021379186,0.9928984,0.000027570111,0.000016917535,3.878801e-8,0.0053549195,0.000065616856,0.00035054167,0.0007475313,0.00005681173,0.00010445883],"about_ca_topic_score_codex":0.4076466,"about_ca_topic_score_gemma":0.4850798,"teacher_disagreement_score":0.07743319,"about_ca_system_score_codex":0.000097608216,"about_ca_system_score_gemma":0.00006736589,"threshold_uncertainty_score":0.99840736},"labels":[],"label_agreement":null},{"id":"W2557020390","doi":"10.3141/2598-12","title":"Gender Differences in School and Work Commuting Mode Through the Life Cycle: Exploring Trends in the Greater Toronto and Hamilton Area, 1986 to 2011","year":2016,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Public transport; TRIPS architecture; Sustainable transport; Demographic economics; Work (physics); License; Economic growth; Socioeconomics; Psychology; Transport engineering; Sociology; Political science; Engineering; Economics; Sustainability","score_opus":0.25715283613328577,"score_gpt":0.41789946281459894,"score_spread":0.16074662668131318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2557020390","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9845136,0.00053617853,0.00019714097,0.013439125,0.00015131709,0.0007091041,0.000024498846,0.000012157743,0.00041688827],"genre_scores_gemma":[0.9969137,0.00217025,0.000193966,0.0001261344,0.00014575265,0.00013317769,0.0000023744533,0.000020189236,0.00029448644],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99326736,0.0020096814,0.001004771,0.0004088723,0.002434071,0.00087521964],"domain_scores_gemma":[0.9969712,0.0015264852,0.00020116026,0.00039488458,0.000572081,0.00033417277],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006752252,0.00021072934,0.0003677655,0.00038761803,0.0009951235,0.00023404771,0.0011718394,0.00013395058,0.00045453306],"category_scores_gemma":[0.00019362636,0.00010243694,0.00013985482,0.0013798524,0.0009695692,0.0014782303,0.000009695997,0.0012007382,0.0000035216217],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006019368,0.00007727316,0.9145164,0.000028048098,0.000029952895,0.000022285616,0.075012214,0.000032937012,0.0000887052,0.0007187999,0.00040094103,0.008470496],"study_design_scores_gemma":[0.0008308908,0.00011659282,0.96863526,0.00028273443,0.00002025867,8.4414104e-8,0.025679575,0.000007924339,0.000026993572,0.0028795681,0.0013846544,0.00013545182],"about_ca_topic_score_codex":0.10970018,"about_ca_topic_score_gemma":0.5848641,"teacher_disagreement_score":0.47516388,"about_ca_system_score_codex":0.00021920435,"about_ca_system_score_gemma":0.0002848287,"threshold_uncertainty_score":0.89622843},"labels":[],"label_agreement":null},{"id":"W2557604026","doi":"10.1016/j.ehb.2016.11.010","title":"Revisiting the relationship between wages and sleep duration: The role of insomnia","year":2016,"lang":"en","type":"article","venue":"Economics & Human Biology","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Social Sciences and Humanities Research Council of Canada; Canadian Institutes of Health Research","keywords":"Endogeneity; Economics; Wage; Insomnia; Demographic economics; Instrumental variable; Duration (music); Recession; Psychology; Sleep (system call); Population; Selection (genetic algorithm); Selection bias; Labour economics; Demography; Econometrics; Medicine; Psychiatry; Macroeconomics","score_opus":0.043572607610926704,"score_gpt":0.303718077301463,"score_spread":0.2601454696905363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2557604026","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98937494,0.00036857818,0.000019419886,0.0053403033,0.00003968239,0.00009445379,0.000011412037,0.000010423217,0.004740811],"genre_scores_gemma":[0.99927336,0.000035837766,0.000012090564,0.000039059065,0.0005091932,0.0000043011564,0.0000045390625,0.0000027214369,0.000118870346],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99939704,0.00013670133,0.00022436197,0.000121572426,0.000015210701,0.00010512614],"domain_scores_gemma":[0.99889076,0.0007810241,0.00015099456,0.00013959178,0.000017783355,0.00001983236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078852754,0.00004475928,0.000095000774,0.000015137581,0.0005751487,0.000020053685,0.00019355501,0.0000642305,0.000075496326],"category_scores_gemma":[0.00010718398,0.000022775897,0.00002902408,0.000029683824,0.0006102058,0.00010441804,0.000023273447,0.000057416644,0.0000064192645],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000001077286,0.0000010011698,0.82937354,8.508783e-7,0.000005661309,1.05625695e-8,0.0010697158,4.637072e-8,0.00005675761,0.16098852,0.0000033415895,0.008499466],"study_design_scores_gemma":[0.000058390193,0.0000064605483,0.850589,0.0000034831883,0.000008553876,3.5586307e-8,0.00030114216,5.324241e-7,0.00008833862,0.13949206,0.009418471,0.000033532742],"about_ca_topic_score_codex":0.00024020084,"about_ca_topic_score_gemma":0.0009150469,"teacher_disagreement_score":0.021496462,"about_ca_system_score_codex":0.000019247138,"about_ca_system_score_gemma":0.000021336005,"threshold_uncertainty_score":0.44236368},"labels":[],"label_agreement":null},{"id":"W2557785589","doi":"10.9778/cmajo.20160068","title":"Residents of highly walkable neighbourhoods in Canadian urban areas do substantially more physical activity: a cross-sectional analysis","year":2016,"lang":"en","type":"article","venue":"CMAJ Open","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; Public Health Ontario","funders":"","keywords":"Cross-sectional study; Geography; Walkability; Physical activity; Medicine; Physical medicine and rehabilitation","score_opus":0.032524036553640195,"score_gpt":0.35841330945366695,"score_spread":0.3258892729000268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2557785589","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98503286,0.000019828327,0.000025795207,0.00061452296,0.000089024674,0.00029786778,0.00011108226,0.000013547033,0.0137955],"genre_scores_gemma":[0.997113,0.000005427375,0.00002077868,0.00002792509,0.00012689331,0.000017624043,0.000009858786,0.000009009063,0.0026695027],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983119,0.00012000014,0.00023164782,0.00041476905,0.00044152315,0.0004801929],"domain_scores_gemma":[0.99901193,0.00009279022,0.00012870503,0.00032152905,0.00013511212,0.00030994098],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007829423,0.00011851065,0.00034334452,0.00022750418,0.00028022766,0.00025798584,0.000826875,0.00011481951,0.0009572447],"category_scores_gemma":[0.000106548156,0.00009278721,0.00015945852,0.001193278,0.00034196305,0.001050855,0.00006093799,0.00009995745,0.000015829173],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000067859895,0.00011614283,0.99578416,0.000004522648,0.000083658735,0.000011246387,0.0015542893,0.000004864528,0.00030713849,0.0011904554,0.00009816666,0.00077746244],"study_design_scores_gemma":[0.00039770105,0.000013349041,0.9971219,0.000018188619,0.000046510195,4.5472383e-8,0.00008681116,0.000011502457,0.0006025995,0.0011274073,0.00043661494,0.0001374275],"about_ca_topic_score_codex":0.9521697,"about_ca_topic_score_gemma":0.9738592,"teacher_disagreement_score":0.021689478,"about_ca_system_score_codex":0.00037603124,"about_ca_system_score_gemma":0.001223812,"threshold_uncertainty_score":0.999956},"labels":[],"label_agreement":null},{"id":"W2558900554","doi":"10.2495/sdp-v12-n5-867-882","title":"Land use models and sustainable urban mobility plans: An integrative approach for strategic planning","year":2016,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Environmental planning; Urban planning; Business; Land-use planning; Land use; Environmental resource management; Regional planning; Environmental economics; Environmental science; Civil engineering; Engineering; Economics","score_opus":0.05584408085460588,"score_gpt":0.3180374177646038,"score_spread":0.2621933369099979,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2558900554","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96150106,0.00042232688,0.036327235,0.00013011476,0.00009559441,0.0002811037,0.000011270058,0.000018514867,0.0012127591],"genre_scores_gemma":[0.9917678,0.000033720753,0.0056791664,0.00003780464,0.00022574149,0.000015754931,0.00002050743,0.000009754736,0.0022097111],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99840707,0.000081305574,0.0004373957,0.00024381059,0.00039181145,0.00043862488],"domain_scores_gemma":[0.99808764,0.00029778984,0.00027458102,0.000059219896,0.0010928529,0.00018789679],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017975832,0.00016044635,0.00023614716,0.0002460637,0.0004823771,0.00039305442,0.00028739366,0.0000996884,0.000009670253],"category_scores_gemma":[0.00018767644,0.00010908394,0.000041963827,0.00009930475,0.00016617053,0.002833067,0.000048138965,0.00014306785,6.6865574e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012273855,0.00021286121,0.84792006,0.00012387666,0.00025359355,0.0005906795,0.09795946,0.0007629529,0.000031017895,0.048534356,0.00024858236,0.0021351487],"study_design_scores_gemma":[0.0038010601,0.00033103,0.12973258,0.000564662,0.00007619359,0.000030535455,0.78092325,0.0016516685,0.00027417147,0.06799381,0.013835047,0.00078597653],"about_ca_topic_score_codex":0.00030354678,"about_ca_topic_score_gemma":0.00003056403,"teacher_disagreement_score":0.7181875,"about_ca_system_score_codex":0.00023861512,"about_ca_system_score_gemma":0.0005779375,"threshold_uncertainty_score":0.4448314},"labels":[],"label_agreement":null},{"id":"W2560588143","doi":"10.1002/atr.1431","title":"Transit trip distribution model considering land use differences between catchment areas","year":2016,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Beijing Nova Program; National Natural Science Foundation of China","keywords":"Land use; Beijing; Transport engineering; Public transport; Catchment area; Land-use planning; Environmental science; Distribution (mathematics); Transit (satellite); Data collection; Computer science; Geography; Drainage basin; Civil engineering; Statistics; Engineering; Mathematics","score_opus":0.039597916671570116,"score_gpt":0.29890517998155375,"score_spread":0.25930726330998366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2560588143","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8890963,0.00007158054,0.10946591,0.0008668566,0.00016575604,0.00013630232,0.00014911058,0.000023883276,0.00002424967],"genre_scores_gemma":[0.9984512,0.00019175859,0.0010640032,0.00001573908,0.0001512837,0.000003059255,0.000034049288,0.0000076077154,0.0000813485],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984736,0.000052949996,0.00060892315,0.00015810788,0.00047741373,0.00022900784],"domain_scores_gemma":[0.998925,0.00017829904,0.0003878943,0.00008500957,0.00025656508,0.00016725363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036269537,0.0001231534,0.00028544627,0.00005634202,0.000191736,0.00003917712,0.00013901663,0.000083980834,0.00003240388],"category_scores_gemma":[0.000051335683,0.0000848688,0.00015069221,0.0001442502,0.00014302864,0.0015058487,7.0475863e-7,0.000117454,9.581812e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016004051,0.00005712606,0.98438466,0.000015437185,0.000034490775,0.00001100307,0.0037356878,0.0012249302,0.0010728205,0.00036723627,0.00001411724,0.008922472],"study_design_scores_gemma":[0.001120751,0.00006201944,0.9918639,0.0001393384,0.0001103394,2.7449926e-7,0.00042877047,0.000008273302,0.0009870017,0.0046718856,0.00046856975,0.0001388866],"about_ca_topic_score_codex":0.00015045905,"about_ca_topic_score_gemma":0.0018890719,"teacher_disagreement_score":0.1093548,"about_ca_system_score_codex":0.000116391166,"about_ca_system_score_gemma":0.00017561635,"threshold_uncertainty_score":0.34608492},"labels":[],"label_agreement":null},{"id":"W2560604318","doi":"","title":"The Role of Cycling within Sustainable Urban Development in Canada: Case studies of Vancouver, Calgary, Toronto, and Ottawa","year":2012,"lang":"en","type":"dissertation","venue":"QSpace (Queen's University Library)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cycling; Geography; Environmental planning; Regional science; Archaeology","score_opus":0.005912829673718502,"score_gpt":0.2118576438315002,"score_spread":0.20594481415778168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2560604318","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9808544,0.0028593782,7.9511506e-7,0.00022723357,0.00028843243,0.00036120313,0.000010231494,0.000019309733,0.015379032],"genre_scores_gemma":[0.92068696,0.00034214972,0.00018072648,0.0000041718636,0.000024201123,0.0000012552221,0.000024929,0.000012135216,0.07872349],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99861616,0.00014917814,0.00030156015,0.00024570862,0.0003163499,0.0003710551],"domain_scores_gemma":[0.9989716,0.00020163223,0.00039766508,0.0001673704,0.00013649494,0.00012525432],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024857244,0.00018507238,0.00037897174,0.0000730834,0.00057496084,0.000017242803,0.0003060028,0.00014383532,0.000046207053],"category_scores_gemma":[0.000048345228,0.00016939203,0.00004911303,0.00025429594,0.00019275006,0.0010581111,0.00006430171,0.00018969574,9.2221256e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001718463,0.000069170936,0.9091605,0.0004678045,0.00015833344,0.0003720297,0.07358008,0.0000044608123,0.0000016265634,0.0057109115,0.00937283,0.0009304377],"study_design_scores_gemma":[0.0002798964,0.000019562036,0.11571668,0.0001453536,0.00008963814,7.871379e-8,0.8065101,0.0000011072784,0.0011713469,0.00026652965,0.07548375,0.0003159538],"about_ca_topic_score_codex":0.99295807,"about_ca_topic_score_gemma":0.9992006,"teacher_disagreement_score":0.7934438,"about_ca_system_score_codex":0.00082384225,"about_ca_system_score_gemma":0.004155098,"threshold_uncertainty_score":0.73709655},"labels":[],"label_agreement":null},{"id":"W2560627946","doi":"10.1016/j.jth.2016.11.004","title":"The influence of the built environment on transport and health","year":2016,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Business; Environmental science","score_opus":0.029186192949047327,"score_gpt":0.31953323113873666,"score_spread":0.2903470381896893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2560627946","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.928155,0.0012548291,0.00015175519,0.069772765,0.0001953964,0.0003038883,0.00002170229,0.0000068369927,0.00013783493],"genre_scores_gemma":[0.99145025,0.0071801133,0.00006028698,0.0009867303,0.000113149596,0.0000021184194,3.4994517e-7,0.0000093170875,0.00019767138],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973464,0.00017813304,0.0010374844,0.00017048388,0.00085785583,0.0004096234],"domain_scores_gemma":[0.9982764,0.00013407029,0.00092690287,0.0002804413,0.00006687562,0.00031527196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038019875,0.00013204341,0.00037261314,0.000042335658,0.0007396245,0.0000078340845,0.00052245654,0.00006238112,0.000033582888],"category_scores_gemma":[0.000015608915,0.000058746737,0.00019533324,0.0001485227,0.0007050711,0.00022016183,0.000004070416,0.00026799733,0.0000010400116],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000116331794,0.00013324812,0.97754073,0.000057584428,0.000024253246,0.0000034606805,0.0048968084,0.000041775318,0.000059974336,0.0011016426,0.000117349155,0.015906854],"study_design_scores_gemma":[0.0004328413,0.00027280228,0.9662739,0.00026069494,0.0000138602445,0.0000015909696,0.0002959081,1.1769009e-7,0.000049335016,0.000900975,0.031433817,0.000064122825],"about_ca_topic_score_codex":0.0027638443,"about_ca_topic_score_gemma":0.0085493885,"teacher_disagreement_score":0.06878604,"about_ca_system_score_codex":0.00019899762,"about_ca_system_score_gemma":0.0012832807,"threshold_uncertainty_score":0.56886685},"labels":[],"label_agreement":null},{"id":"W2561601373","doi":"10.1016/j.retrec.2016.11.006","title":"Preference stability in household location choice: Using cross-sectional data from three censuses","year":2016,"lang":"en","type":"article","venue":"Research in Transportation Economics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Social Sciences and Humanities Research Council of Canada; Canada Research Chairs","keywords":"Microdata (statistics); Autocorrelation; Econometrics; Spatial analysis; Context (archaeology); Geography; Point estimation; Statistics; Cross-sectional data; Discrete choice; Point (geometry); Preference; Computer science; Economics; Mathematics; Census; Population; Demography","score_opus":0.5835830470459433,"score_gpt":0.46361559993930807,"score_spread":0.11996744710663526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2561601373","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99704325,0.000059512477,0.0007086105,0.00021499155,0.00016167325,0.0004313051,0.0011011255,0.00003274429,0.00024676445],"genre_scores_gemma":[0.99905604,0.00015924282,0.0002736436,0.000008474456,0.00015424474,0.000021976806,0.00029649452,0.000012977608,0.000016924712],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99768126,0.00019802974,0.0006229601,0.0007003168,0.000337733,0.00045972416],"domain_scores_gemma":[0.99826574,0.00076969527,0.00010213415,0.0005599556,0.00018333732,0.000119119744],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032773071,0.00010421281,0.0001680316,0.00019245589,0.0002324573,0.00012221628,0.000735775,0.00017261715,0.00041771395],"category_scores_gemma":[0.00023153813,0.00009864971,0.000028947656,0.00046908704,0.00059662794,0.0019341387,0.000015900245,0.0002659986,0.0000110108695],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006936525,0.000111113586,0.99732524,0.000018688854,0.000004714897,0.000001040945,0.0004442885,0.00048099065,0.0001315574,0.0007042852,0.000002943748,0.0007057396],"study_design_scores_gemma":[0.00058061373,0.000007334544,0.98910815,0.000042964475,0.0000019570919,1.2184706e-8,0.0001771548,0.0006047125,0.00015783448,0.008939516,0.00025862103,0.00012114947],"about_ca_topic_score_codex":0.051778518,"about_ca_topic_score_gemma":0.6615967,"teacher_disagreement_score":0.6098182,"about_ca_system_score_codex":0.0006730233,"about_ca_system_score_gemma":0.0009374487,"threshold_uncertainty_score":0.9545358},"labels":[],"label_agreement":null},{"id":"W2561602126","doi":"10.1186/s12889-016-3954-4","title":"Identifying mechanisms for facilitating knowledge to action strategies targeting the built environment","year":2017,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":310,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; University of Toronto; Public Health Ontario; St. Michael's Hospital","funders":"Canadian Institutes of Health Research; Heart and Stroke Foundation of Canada","keywords":"Built environment; Knowledge translation; Public health; Government (linguistics); Thematic analysis; Biostatistics; Health policy; Medicine; Population health; Public policy; Public relations; Psychological intervention; Population; Business; Environmental health; Qualitative research; Environmental planning; Knowledge management; Political science; Economic growth; Nursing; Engineering; Sociology; Geography; Economics","score_opus":0.2214506514599043,"score_gpt":0.43713989713884793,"score_spread":0.21568924567894363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2561602126","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41614562,0.00023700127,0.5637593,0.013876811,0.0008977098,0.0013901022,0.000028659915,0.00011274878,0.003552045],"genre_scores_gemma":[0.9880619,0.00001702954,0.010599739,0.00013568546,0.00031946934,0.000121941455,0.000010031756,0.0000092818755,0.0007249097],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9982908,0.00022969487,0.00031024715,0.00031075568,0.0002766079,0.00058190775],"domain_scores_gemma":[0.99887115,0.00022164336,0.00024682048,0.0003555555,0.000058585407,0.00024623505],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0056792875,0.000100255944,0.00014938,0.000039308685,0.005444898,0.0009812572,0.00060175126,0.00005803122,0.0000786252],"category_scores_gemma":[0.00065913127,0.000078688434,0.00007980035,0.00006692066,0.0001320267,0.0009842645,0.000060138223,0.000116307245,0.000028229437],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004711683,0.00042837326,0.10306063,0.0011201174,0.000055345485,7.6109376e-7,0.28788337,0.00007409865,0.0016510454,0.26576778,0.0045017055,0.33540964],"study_design_scores_gemma":[0.0006667232,0.00016168585,0.338988,0.000073914845,0.000015018926,1.4906323e-7,0.30505857,0.0006276099,0.0002077982,0.055624127,0.29805446,0.0005219569],"about_ca_topic_score_codex":0.007249158,"about_ca_topic_score_gemma":0.033871863,"teacher_disagreement_score":0.5719163,"about_ca_system_score_codex":0.00028460505,"about_ca_system_score_gemma":0.001072401,"threshold_uncertainty_score":0.99936163},"labels":[],"label_agreement":null},{"id":"W2561622912","doi":"10.1161/circ.132.suppl_3.11545","title":"Abstract 11545: Moving to a Highly Walkable Neighborhood and Incidence of Hypertension: A Propensity-score Matched Cohort Study","year":2015,"lang":"en","type":"article","venue":"Circulation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institute for Clinical Evaluative Sciences","funders":"","keywords":"Walkability; Medicine; Cohort; Demography; Cohort study; Incidence (geometry); Body mass index; Propensity score matching; Population; Environmental health; Gerontology; Physical therapy; Internal medicine; Physical activity","score_opus":0.0837080717323033,"score_gpt":0.29047585970918743,"score_spread":0.20676778797688414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2561622912","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997276,0.000046313806,0.00012191824,0.0001946693,0.00010986296,0.0009481323,0.0000022048664,0.0000459205,0.0012549836],"genre_scores_gemma":[0.99975723,0.0000014124631,0.000080563885,0.000046141708,0.00006743149,0.000014182562,0.000004242735,0.000006673777,0.000022141458],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988147,0.0000596572,0.0002527849,0.0002747138,0.00044223288,0.00015589305],"domain_scores_gemma":[0.99920464,0.000037158745,0.0001072027,0.00019231928,0.0003024712,0.00015623293],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001040848,0.00008254769,0.00021712444,0.00005264335,0.00016209636,0.00005416208,0.00011409209,0.00005949352,0.000021859509],"category_scores_gemma":[0.0002097641,0.00007580659,0.000023955809,0.00030447743,0.00006731269,0.00045017694,0.000028321067,0.00006759052,0.0000055768155],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022499695,0.000104073224,0.99138564,0.000012907775,0.000009019063,0.000007131115,0.0064390656,0.00006132988,0.0010661134,0.00007454025,0.000021787744,0.00079592294],"study_design_scores_gemma":[0.00026277284,0.00002758561,0.9971634,0.000026734748,0.000029516366,3.9245475e-7,0.0014553386,0.00010641627,0.00006494385,0.00074990786,0.000016728141,0.00009627288],"about_ca_topic_score_codex":0.0060843905,"about_ca_topic_score_gemma":0.0025670587,"teacher_disagreement_score":0.0057777814,"about_ca_system_score_codex":0.00007138691,"about_ca_system_score_gemma":0.00015921374,"threshold_uncertainty_score":0.9197819},"labels":[],"label_agreement":null},{"id":"W2563003060","doi":"10.3141/2543-06","title":"Accessing the Subway in Toronto, Canada: Access Mode and Catchment Areas","year":2016,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Catchment area; Pedestrian; Transport engineering; Drainage basin; Service (business); Mode (computer interface); Transit (satellite); Geography; Public transport; Telecommunications; Engineering; Computer science; Business; Cartography","score_opus":0.09966449466541535,"score_gpt":0.4394859356824295,"score_spread":0.33982144101701417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2563003060","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9739332,0.00060225074,0.00024412388,0.022977388,0.0004446657,0.0008847527,0.000054934673,0.000013268451,0.00084542524],"genre_scores_gemma":[0.9965899,0.002114793,0.00008383631,0.000084484185,0.00021856332,0.000057590874,0.0000037054392,0.000025327983,0.0008217963],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99162704,0.001700264,0.0011814381,0.0004160717,0.00404662,0.0010285572],"domain_scores_gemma":[0.9953021,0.0016402178,0.00037015433,0.00041554743,0.0018475038,0.00042451848],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0066076387,0.00020542169,0.00037069796,0.00026991888,0.0013086828,0.00028854515,0.001866441,0.00015006553,0.0005896493],"category_scores_gemma":[0.00026518875,0.00011075814,0.00016930184,0.0012851678,0.001336364,0.0019100575,0.000012408057,0.0011101825,0.0000015605975],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048469464,0.000101149875,0.9751212,0.000059818223,0.000041710446,0.00005676589,0.0052632615,0.00003608022,0.00034180004,0.0024087934,0.0020197001,0.014065036],"study_design_scores_gemma":[0.0009150274,0.00006694223,0.9772587,0.00031999577,0.000022242577,7.55359e-8,0.0062210597,0.000009824244,0.0004151396,0.0035061152,0.011117368,0.00014749989],"about_ca_topic_score_codex":0.9680473,"about_ca_topic_score_gemma":0.9992753,"teacher_disagreement_score":0.03122802,"about_ca_system_score_codex":0.0015896871,"about_ca_system_score_gemma":0.0035256597,"threshold_uncertainty_score":0.9999915},"labels":[],"label_agreement":null},{"id":"W2563245999","doi":"10.1371/journal.pone.0168208","title":"Spatial Accessibility to Health Care Services: Identifying under-Serviced Neighbourhoods in Canadian Urban Areas","year":2016,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":121,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto; University of Saskatchewan","funders":"University of Saskatchewan","keywords":"Geocoding; Neighbourhood (mathematics); Health care; Geography; Catchment area; Population; Environmental health; Medicine; Business; Cartography; Economic growth","score_opus":0.05269213962805191,"score_gpt":0.3128838348120556,"score_spread":0.2601916951840037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2563245999","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9853398,0.00030732105,0.00007582802,0.0089400355,0.00014347676,0.0007790599,0.000102621634,0.00010822968,0.0042036087],"genre_scores_gemma":[0.99726295,0.000018076518,0.0002055437,0.0018807135,0.00031581137,0.000042017662,0.000029348399,0.000021460426,0.00022405351],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969793,0.00023582763,0.00047678812,0.0006354267,0.00064511586,0.0010275351],"domain_scores_gemma":[0.9980084,0.000072686285,0.00012707416,0.0005006577,0.00019926767,0.0010919562],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081473147,0.00019072749,0.00038389533,0.00021085925,0.0005556888,0.00016335933,0.00076166424,0.0001529065,0.00079584867],"category_scores_gemma":[0.00006525616,0.00016401331,0.00006657595,0.000660219,0.000086471344,0.0006391737,0.000055910754,0.00015659365,0.00008740252],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023920173,0.00021900426,0.9787382,0.00023669141,0.000020856081,0.0000042100123,0.01825211,3.2770086e-7,0.00017767478,0.00019812532,0.000014224787,0.0021146901],"study_design_scores_gemma":[0.0004319961,0.00003521654,0.9930881,0.00053460983,0.000019964653,1.8648901e-8,0.004102048,0.0000056040435,0.0003942022,0.0008649039,0.00027556956,0.00024774417],"about_ca_topic_score_codex":0.9499412,"about_ca_topic_score_gemma":0.99873555,"teacher_disagreement_score":0.048794333,"about_ca_system_score_codex":0.0017265002,"about_ca_system_score_gemma":0.0017923416,"threshold_uncertainty_score":0.87139845},"labels":[],"label_agreement":null},{"id":"W2563620363","doi":"10.2196/mhealth.5931","title":"Smartphone Apps for Measuring Human Health and Climate Change Co-Benefits: A Comparison and Quality Rating of Available Apps","year":2016,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Health and Medical Research Council; Universiteit Maastricht; Medical Research Council; University of Bristol; University of Alberta","keywords":"Behavior change; mHealth; Business; Scale (ratio); Climate change; Climate change mitigation; Quality (philosophy); Environmental health; Carbon footprint; Smartphone app; Mobile apps; Internet privacy; Applied psychology; Environmental economics; Medicine; Psychology; Computer science; Greenhouse gas; Psychological intervention; World Wide Web; Geography; Nursing","score_opus":0.3224951625196132,"score_gpt":0.4544814306324761,"score_spread":0.1319862681128629,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2563620363","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9848393,0.010243127,0.0000652556,0.0026015635,0.00008855709,0.0014049204,0.00017079599,0.0000692869,0.00051715877],"genre_scores_gemma":[0.9934356,0.0052438765,0.00038591938,0.00052158907,0.00019737678,0.00012432433,0.000018475734,0.000016100697,0.00005669679],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971729,0.00030471926,0.0008698753,0.0005086803,0.0003098541,0.0008339924],"domain_scores_gemma":[0.99801576,0.0002910918,0.0006312945,0.00019242399,0.00010115468,0.0007682694],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.004270629,0.00018225357,0.0006607314,0.000088374574,0.0015609903,0.000047359634,0.00010827536,0.00012043224,0.000020627585],"category_scores_gemma":[0.00007321858,0.00014367398,0.000039468214,0.00015792772,0.00037998264,0.0003280072,0.00003096279,0.00013344173,0.0000013896225],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018395118,0.00012453059,0.90720546,0.004243292,0.000006329354,1.08935225e-7,0.016202014,2.3890415e-8,0.000051032926,0.0070095216,0.00026515525,0.06470855],"study_design_scores_gemma":[0.0029498916,0.0006611648,0.9824587,0.0008094584,0.000025096026,5.050023e-7,0.0063050566,0.000023556828,0.00007626164,0.000778108,0.005568973,0.0003432037],"about_ca_topic_score_codex":0.008140458,"about_ca_topic_score_gemma":0.015104751,"teacher_disagreement_score":0.07525324,"about_ca_system_score_codex":0.00010664805,"about_ca_system_score_gemma":0.00034491564,"threshold_uncertainty_score":0.9997388},"labels":[],"label_agreement":null},{"id":"W2563828636","doi":"10.1016/j.tra.2016.11.016","title":"Models for estimating zone-level bike kilometers traveled using bike network, land use, and road facility variables","year":2016,"lang":"en","type":"article","venue":"Transportation Research Part A Policy and Practice","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":36,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Transport engineering; Recreation; Land use; TRIPS architecture; Geographic information system; Environmental science; Computer science; Geography; Cartography; Engineering; Civil engineering","score_opus":0.3702907971220731,"score_gpt":0.46783235258636213,"score_spread":0.09754155546428905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2563828636","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7785345,0.00015603262,0.21375947,0.0047838925,0.00010930748,0.0011500301,0.00087026245,0.00006860442,0.00056794164],"genre_scores_gemma":[0.9651112,0.00035547683,0.033176422,0.00015817786,0.00038523,0.00007506352,0.00004655767,0.000014369929,0.00067748065],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99711615,0.00069682504,0.00042306812,0.00047281763,0.00056449056,0.00072662206],"domain_scores_gemma":[0.9935284,0.00533902,0.00015598824,0.00017843154,0.00048852136,0.00030963993],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005818345,0.00015955025,0.0002487422,0.00015670061,0.0011909965,0.00027583528,0.00014096749,0.00016095031,0.000040990697],"category_scores_gemma":[0.0023671137,0.0001271245,0.000054021555,0.0005679511,0.00059803086,0.0029763645,0.000007349471,0.00020515136,0.0000015098511],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0085348645,0.0010107361,0.56481034,0.0015472312,0.0007933552,0.00006231744,0.088924415,0.007882369,0.0043330085,0.11302924,0.0021461297,0.20692599],"study_design_scores_gemma":[0.010568289,0.0007604788,0.6351436,0.0010319534,0.00074668607,0.000008286919,0.008423923,0.053345,0.0002951627,0.09065601,0.19668287,0.002337748],"about_ca_topic_score_codex":0.045042694,"about_ca_topic_score_gemma":0.014250412,"teacher_disagreement_score":0.20458823,"about_ca_system_score_codex":0.00006534507,"about_ca_system_score_gemma":0.00051585404,"threshold_uncertainty_score":0.96131647},"labels":[],"label_agreement":null},{"id":"W2564122946","doi":"10.1016/j.tra.2016.12.003","title":"Public transit fare structure and social vulnerability in Montreal, Canada","year":2016,"lang":"en","type":"article","venue":"Transportation Research Part A Policy and Practice","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Public transport; Equity (law); Unemployment; Destinations; Business; Purchasing; Demographic economics; Purchasing power; Economics; Tourism; Geography; Economic growth; Marketing; Political science","score_opus":0.13149914573498925,"score_gpt":0.42545938612830797,"score_spread":0.2939602403933187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2564122946","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8745244,0.00012732093,0.000027315236,0.12117505,0.000033531996,0.00033652558,0.00033830243,0.000020078995,0.0034174607],"genre_scores_gemma":[0.9986069,0.00026675133,0.000023873215,0.0003708221,0.00020990438,0.00002396804,0.00002801882,0.000007374331,0.00046239345],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970373,0.0010525156,0.000287299,0.0003644277,0.00070607394,0.0005524114],"domain_scores_gemma":[0.99750596,0.0017830452,0.00006463023,0.0001169794,0.0003031389,0.00022622745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002335439,0.000111528796,0.00017200666,0.00012897907,0.0008179255,0.00010300862,0.00014113398,0.00013580246,0.00031102853],"category_scores_gemma":[0.001072827,0.000087522385,0.000022815804,0.00054960046,0.00064120063,0.0011915698,0.0000036094898,0.00033073075,0.0000010079717],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00091268163,0.00022928827,0.7994948,0.00021306137,0.000059845843,0.00008704585,0.05839205,0.0000018668012,0.0004227924,0.058668047,0.0027848121,0.07873368],"study_design_scores_gemma":[0.0005806933,0.000021575306,0.8168477,0.000012666288,0.000009817922,3.1593072e-7,0.003389991,0.000001233576,0.00002633122,0.0048161773,0.17417113,0.00012237852],"about_ca_topic_score_codex":0.92994785,"about_ca_topic_score_gemma":0.9971415,"teacher_disagreement_score":0.17138632,"about_ca_system_score_codex":0.00016341891,"about_ca_system_score_gemma":0.001570236,"threshold_uncertainty_score":0.6290904},"labels":[],"label_agreement":null},{"id":"W2564335203","doi":"","title":"Investigating the Capacity of Continuous Household Travel Surveys in Replacing Traditional Cross-sectional Surveys","year":2016,"lang":"en","type":"dissertation","venue":"TSpace","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cross-sectional study; Geography; Statistics; Transport engineering; Engineering; Mathematics","score_opus":0.1127723321312627,"score_gpt":0.3526734517822768,"score_spread":0.23990111965101413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2564335203","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97508705,0.000070698625,0.00016807593,0.000108260494,0.00083168346,0.0003435229,0.00023163289,0.00004608815,0.023113016],"genre_scores_gemma":[0.9902215,0.000012244814,0.00004730023,0.00001585782,0.000364332,0.000027949145,0.0003298653,0.000025322708,0.008955632],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9956314,0.0020971973,0.0006385424,0.0004597201,0.00080352393,0.00036960572],"domain_scores_gemma":[0.9978885,0.00096201245,0.0005584443,0.00025812426,0.00023529136,0.00009760511],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012817854,0.0002237887,0.0003967569,0.000108810054,0.0005485246,0.00010369107,0.00043790924,0.00040309774,0.00033543142],"category_scores_gemma":[0.00083163026,0.000172293,0.00017686406,0.00038249302,0.0006940154,0.00025495674,0.000007435435,0.0005237429,0.000003922791],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000829377,0.000057166013,0.9818431,0.00006644676,0.000020569594,0.000001399747,0.015525468,0.000006447701,0.0012030076,0.0009116014,0.000053012387,0.00030348412],"study_design_scores_gemma":[0.0002774372,0.000013659474,0.9920639,0.00013223947,0.000010498136,2.6005577e-7,0.0030903346,0.0000026987097,0.0011698323,0.0030047703,0.000028740043,0.00020564538],"about_ca_topic_score_codex":0.046644956,"about_ca_topic_score_gemma":0.119087175,"teacher_disagreement_score":0.07244222,"about_ca_system_score_codex":0.00016782462,"about_ca_system_score_gemma":0.000644768,"threshold_uncertainty_score":0.9597035},"labels":[],"label_agreement":null},{"id":"W2564640918","doi":"","title":"A Pilot Study of Sprawl Repair Potential in Kingston, Ontario","year":2013,"lang":"en","type":"article","venue":"QSpace (Queen's University Library)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Urban sprawl; Geography; Engineering; Civil engineering; Urban planning","score_opus":0.011838022124410786,"score_gpt":0.20594791343153632,"score_spread":0.19410989130712553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2564640918","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9757838,0.0000031867316,0.000010347802,0.005828119,0.00012784627,0.00061454665,0.0000027826443,0.0001922177,0.01743711],"genre_scores_gemma":[0.9399179,0.000005857284,0.0003387301,0.000039041668,0.000035983787,0.0000010444915,0.0000041630083,0.0000093112,0.059647918],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99858296,0.00021542431,0.0001818427,0.00036434733,0.0003337395,0.00032168505],"domain_scores_gemma":[0.99933267,0.000045846915,0.0001272825,0.00028899993,0.00005196734,0.000153218],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00010888693,0.00013502927,0.00024873018,0.000214046,0.00024167642,0.000050405266,0.00048756486,0.0000624608,0.002408653],"category_scores_gemma":[0.000013271723,0.00014977535,0.000094377894,0.00062633504,0.0002119882,0.0024009056,0.00011960054,0.00024422444,0.000025789323],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009994066,0.0009905077,0.9765072,0.000009709691,0.000024270359,0.000064106076,0.0106779635,0.00000910302,0.000005354824,0.00040250298,0.011178551,0.000030789375],"study_design_scores_gemma":[0.0006997399,0.000413095,0.974726,0.00001919771,0.00002896437,8.4352925e-9,0.0141652,0.0000011375213,0.000033791654,0.0002567549,0.009486295,0.00016980614],"about_ca_topic_score_codex":0.944792,"about_ca_topic_score_gemma":0.59421235,"teacher_disagreement_score":0.35057962,"about_ca_system_score_codex":0.00016190021,"about_ca_system_score_gemma":0.0004104444,"threshold_uncertainty_score":0.99850327},"labels":[],"label_agreement":null},{"id":"W2566712448","doi":"10.1016/j.ypmed.2016.12.049","title":"Preserving older adults' routine outdoor activities in contrasting neighborhood environments through a physical activity intervention","year":2016,"lang":"en","type":"article","venue":"Preventive Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Ministry of Health","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Center for Advancing Translational Sciences; National Center for Research Resources; National Institute on Aging; National Heart, Lung, and Blood Institute; Tufts University; University of Pittsburgh; Wake Forest University; National Institutes of Health; Yale University; U.S. Public Health Service; U.S. Department of Agriculture","keywords":"Medicine; Physical activity; Gerontology; Yard; Activities of daily living; Health benefits; Intervention (counseling); Physical therapy; Demography","score_opus":0.019503037126901043,"score_gpt":0.32207555772143476,"score_spread":0.3025725205945337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2566712448","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9818089,0.00015735406,0.012403331,0.0016434888,0.00025469362,0.00057932397,0.000010961919,0.00004673973,0.0030952126],"genre_scores_gemma":[0.9970757,0.000031640207,0.000030300194,0.000026366184,0.0004751482,0.00006469001,0.000004674026,0.000013661756,0.0022778462],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979992,0.00042425893,0.00026935653,0.00043168757,0.00045925652,0.00041627747],"domain_scores_gemma":[0.9991048,0.00037539285,0.0002187716,0.000192091,0.000023944445,0.000085017455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008169587,0.00018161927,0.00036119044,0.000053781096,0.00016336142,0.000014659696,0.00025841504,0.00007158485,0.0007105608],"category_scores_gemma":[0.00042499028,0.00012193311,0.00011402347,0.0001868884,0.00047708064,0.0010190769,0.00007071471,0.00017621813,0.000008652625],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023248438,0.0012851997,0.8474142,0.00008588408,0.000058481284,0.000009346658,0.04121105,2.2895361e-7,0.0039702705,0.0004962537,0.000053972068,0.10518262],"study_design_scores_gemma":[0.0036673094,0.00010175817,0.98229265,0.0017846407,0.000052922664,1.2805891e-7,0.0057468796,0.00006292666,0.0027081766,0.00317344,0.00021630818,0.00019283814],"about_ca_topic_score_codex":0.002577874,"about_ca_topic_score_gemma":0.001539891,"teacher_disagreement_score":0.13487847,"about_ca_system_score_codex":0.00021010157,"about_ca_system_score_gemma":0.000028863607,"threshold_uncertainty_score":0.77801424},"labels":[],"label_agreement":null},{"id":"W2568409332","doi":"10.1080/15568318.2016.1278061","title":"TRIBUTE: Trip-based urban transportation emissions model for municipalities","year":2017,"lang":"en","type":"article","venue":"International Journal of Sustainable Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Greenhouse gas; Modal; Tribute; Vehicle miles of travel; Transport engineering; Land use; Modal shift; Travel survey; Travel behavior; Mode choice; Mode (computer interface); Conceptual model; Transportation planning; Microsimulation; Operations research; Environmental economics; Computer science; Engineering; Economics; Civil engineering; Public transport; Geography","score_opus":0.03739667063246563,"score_gpt":0.358532465855285,"score_spread":0.3211357952228193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2568409332","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88196784,0.00015233383,0.10639265,0.008930373,0.00081930746,0.0006041592,0.000355529,0.000044604763,0.0007331683],"genre_scores_gemma":[0.990369,0.00005150721,0.0019353934,0.00010556121,0.0004157533,0.000032775886,0.00023147777,0.000019233257,0.0068392563],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997735,0.000042469543,0.00081621273,0.00019455295,0.00085035316,0.00036137577],"domain_scores_gemma":[0.9957466,0.00013071769,0.0010256891,0.00021010813,0.0027033868,0.00018347512],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012143266,0.00015842602,0.0002748435,0.00023741492,0.001034192,0.00030171248,0.0010260856,0.00014786678,0.00010363196],"category_scores_gemma":[0.00030901932,0.00015494516,0.00036528127,0.00008333454,0.00026619952,0.001987142,0.0000017668456,0.00019053067,5.772841e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0065396684,0.0015662754,0.49184403,0.00048420363,0.0006966086,0.000607885,0.12588753,0.038600467,0.0006721853,0.31578413,0.009841679,0.0074753603],"study_design_scores_gemma":[0.014179865,0.00040902637,0.6475693,0.00046961923,0.00085448,0.0000011580938,0.063634895,0.016676798,0.00263334,0.11483396,0.13761412,0.0011234594],"about_ca_topic_score_codex":0.002018777,"about_ca_topic_score_gemma":0.0045102644,"teacher_disagreement_score":0.20095016,"about_ca_system_score_codex":0.00025821393,"about_ca_system_score_gemma":0.00117682,"threshold_uncertainty_score":0.7954274},"labels":[],"label_agreement":null},{"id":"W2569662783","doi":"10.1167/16.12.1365","title":"The effects of a human confederate and goal location on the path selection of young adults","year":2016,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Path (computing); Obstacle; Trajectory; Position (finance); Computer science; Selection (genetic algorithm); Mathematics; Geometry; Psychology; Physics; Geography; Artificial intelligence","score_opus":0.007991394818497068,"score_gpt":0.29037107302494375,"score_spread":0.28237967820644666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2569662783","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986455,0.000118971424,0.00009726486,0.00061078445,0.00013766428,0.00009933828,3.6690548e-7,0.00000194958,0.0002881644],"genre_scores_gemma":[0.99968535,0.00014763794,0.000005707831,0.000009273857,0.000085427804,5.2088404e-7,6.4925594e-8,0.000001898701,0.0000640932],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99926764,0.00014340776,0.00022028762,0.000047159465,0.0002579929,0.00006349103],"domain_scores_gemma":[0.9989737,0.0003333822,0.00035742202,0.00004812517,0.00026272645,0.00002459449],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009683156,0.000035967118,0.000083052015,0.000020896385,0.00030751704,0.000023308925,0.000088342815,0.000032110245,0.000009228921],"category_scores_gemma":[0.00022146883,0.000014313634,0.000036858804,0.00007663693,0.0001450863,0.0001463901,0.0000045546776,0.00006152516,2.8340898e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010467683,0.0003896657,0.51871276,0.00016354727,0.0000649036,0.0000030019346,0.012375118,0.000001489148,0.3550424,0.009189053,0.0008934911,0.10211778],"study_design_scores_gemma":[0.00052662846,0.00079956115,0.9784597,0.0006225301,0.0000178486,5.1177335e-7,0.00047723117,0.000013030148,0.01711515,0.001791121,0.00014505551,0.000031642758],"about_ca_topic_score_codex":0.00017200285,"about_ca_topic_score_gemma":0.00054688245,"teacher_disagreement_score":0.4597469,"about_ca_system_score_codex":0.000023144283,"about_ca_system_score_gemma":0.00004915198,"threshold_uncertainty_score":0.23652035},"labels":[],"label_agreement":null},{"id":"W2570858360","doi":"","title":"Active school travel in Fleetwood, Surrey, BC, Canada","year":2016,"lang":"en","type":"article","venue":"Summit (Simon Fraser University)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geography; Advertising; Business","score_opus":0.013332032954199439,"score_gpt":0.22301263186255477,"score_spread":0.20968059890835533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2570858360","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92411524,0.000020068199,0.00007457962,0.0011198038,0.00025684552,0.00018080322,0.000065665175,0.00003905822,0.07412793],"genre_scores_gemma":[0.98594505,0.000040598086,0.000012874311,0.000076099546,0.00008380269,5.007772e-7,0.0000056997897,0.0000073476303,0.013828028],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986294,0.00013994529,0.00013267288,0.00034390797,0.00032487375,0.0004292197],"domain_scores_gemma":[0.9992437,0.00012388226,0.00006422296,0.00020160204,0.00008547666,0.00028115243],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00018045605,0.00012973374,0.00018169329,0.00015512774,0.00026135342,0.000019580191,0.00048601205,0.000117031945,0.0012155483],"category_scores_gemma":[0.000065793625,0.00011673201,0.00006543616,0.00073769357,0.00021377475,0.0006501703,0.000031332456,0.00015530137,0.000033121916],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006299137,0.000044024415,0.9923485,0.000003861574,0.0000128762995,0.00011352766,0.00006608129,6.657279e-7,0.000006176462,0.0009898259,0.003829145,0.0025223566],"study_design_scores_gemma":[0.0012502571,0.000017630913,0.67827445,0.00004688703,0.000023560975,3.1872666e-10,0.03448534,0.000001290662,0.0008376014,0.00044626725,0.28428826,0.00032841638],"about_ca_topic_score_codex":0.83582217,"about_ca_topic_score_gemma":0.99977046,"teacher_disagreement_score":0.31407398,"about_ca_system_score_codex":0.0009477339,"about_ca_system_score_gemma":0.001498533,"threshold_uncertainty_score":0.99969745},"labels":[],"label_agreement":null},{"id":"W2571122633","doi":"10.3141/2587-04","title":"Bicycle Education for Children: Evaluation of a Program in Montreal, Quebec, Canada","year":2016,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Promotion (chess); Cycling; Suicide prevention; Injury prevention; Psychology; Poison control; Human factors and ergonomics; Descriptive statistics; Medical education; Occupational safety and health; Traffic calming; Health promotion; Program evaluation; Applied psychology; Engineering; Environmental health; Medicine; Transport engineering; Public health; Nursing; Geography; Political science","score_opus":0.09316572707131941,"score_gpt":0.44196938048544787,"score_spread":0.34880365341412845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2571122633","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9897674,0.00029040207,0.00016347469,0.0057140207,0.0004269871,0.003258049,0.000092509596,0.000012332123,0.00027485483],"genre_scores_gemma":[0.9978741,0.00026484655,0.00039917938,0.000017962739,0.0002000509,0.00035396524,0.00002209457,0.000023997582,0.0008438411],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9908895,0.001690378,0.0013695739,0.00035887086,0.004947128,0.0007445812],"domain_scores_gemma":[0.99069023,0.0010088574,0.00054543384,0.00035412205,0.007113805,0.00028757146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009377395,0.00016463416,0.0003733011,0.0006856703,0.0004659351,0.000060667928,0.0009381152,0.00016425028,0.00031411133],"category_scores_gemma":[0.000633288,0.00011143238,0.00026282397,0.0018648298,0.000750248,0.0007696841,0.0000027453693,0.00060171745,0.0000015138902],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00063073216,0.0005316617,0.85120016,0.0000851404,0.000050987353,0.0000022339611,0.002415309,0.00007150614,0.00049881276,0.00077901554,0.004043292,0.13969117],"study_design_scores_gemma":[0.0017735781,0.00016724068,0.9843046,0.00038780752,0.00005698658,1.4428922e-8,0.0025230777,0.000018558234,0.0006299235,0.006710334,0.003302534,0.00012535426],"about_ca_topic_score_codex":0.9635137,"about_ca_topic_score_gemma":0.9995097,"teacher_disagreement_score":0.13956581,"about_ca_system_score_codex":0.0010487353,"about_ca_system_score_gemma":0.011346582,"threshold_uncertainty_score":0.99425817},"labels":[],"label_agreement":null},{"id":"W2572474008","doi":"10.1155/2017/8268701","title":"The Impact of Perception toward the Built Environment in Airport Access Mode Choice Using Hybrid Choice Modeling","year":2017,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Perception; Latent variable; Mode choice; Environment variable; Discrete choice; Preference; Variable (mathematics); Mode (computer interface); Structural equation modeling; Marital status; Psychology; Revealed preference; Transport engineering; Geography; Computer science; Demography; Engineering; Economics; Econometrics; Statistics; Sociology; Public transport; Mathematics","score_opus":0.0664337013363455,"score_gpt":0.4024499085695498,"score_spread":0.3360162072332043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2572474008","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99188113,0.00017154167,0.0068836366,0.00054621324,0.00020658778,0.00023674157,0.000013041903,0.0000047034523,0.0000563886],"genre_scores_gemma":[0.9986844,0.00069228944,0.00038054396,0.000008273159,0.0002061471,0.0000032798105,0.0000052408973,0.00001015819,0.000009690752],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99829996,0.00006790597,0.0007200319,0.00014504282,0.0005363416,0.00023073908],"domain_scores_gemma":[0.998338,0.000102527425,0.0010609109,0.0002694316,0.00015675968,0.00007236922],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00092540734,0.00012242643,0.00022959888,0.00005722601,0.00072418764,0.00012120589,0.0007567869,0.000051316925,0.000024711208],"category_scores_gemma":[0.000098427125,0.0000750607,0.000245112,0.000077327255,0.00023283766,0.0021626127,0.0000052366154,0.0002759601,2.698177e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011604356,0.000060593346,0.47400543,0.000010417168,0.000022341617,0.0000035485496,0.005513706,0.5126939,0.0020185548,0.000010536816,0.0000016915632,0.005543295],"study_design_scores_gemma":[0.00050760503,0.000040110433,0.9881625,0.0000677668,0.000051248364,4.6127414e-7,0.0015801783,0.007396887,0.00013852035,0.0019113651,0.000053858108,0.000089511086],"about_ca_topic_score_codex":0.013496725,"about_ca_topic_score_gemma":0.009866987,"teacher_disagreement_score":0.51415706,"about_ca_system_score_codex":0.00023172415,"about_ca_system_score_gemma":0.00022006161,"threshold_uncertainty_score":0.9930725},"labels":[],"label_agreement":null},{"id":"W2576201849","doi":"","title":"Who, What, When, and Where: Revisiting the Influences of Transit Mode Share","year":2015,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto; McGill University","funders":"","keywords":"Transit (satellite); Public transport; Service (business); Transport engineering; Business; Socioeconomic status; Transit system; Demographic economics; Marketing; Economics; Engineering; Demography; Population; Sociology","score_opus":0.042150233762380265,"score_gpt":0.28970156483165593,"score_spread":0.24755133106927568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2576201849","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9751859,0.0030311968,8.7111493e-7,0.0007933056,0.00021473633,0.0003938491,0.00019551045,0.00010707271,0.020077564],"genre_scores_gemma":[0.9982556,0.00056046085,0.00024877017,0.0003061763,0.00010465373,0.000019410221,0.000008580369,0.000026802089,0.0004695572],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99697566,0.00050419837,0.000600986,0.00054734695,0.0008509012,0.0005209329],"domain_scores_gemma":[0.9982408,0.00026172702,0.00027678057,0.00043944453,0.00041651717,0.00036472452],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002518294,0.00026538986,0.00042031865,0.000074703064,0.0013367508,0.00026782815,0.00076087017,0.00022262183,0.00018625936],"category_scores_gemma":[0.00052389514,0.00020863066,0.0001509462,0.00046927284,0.0005642207,0.00334455,0.00008320732,0.0005033491,0.00001685383],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002635139,0.00018609017,0.09340727,0.00056202704,0.00022751502,0.000048077123,0.003816906,0.00015591642,0.0054090274,0.16835824,0.000039430583,0.727526],"study_design_scores_gemma":[0.0037462274,0.00031761575,0.10701243,0.0031939803,0.00063666375,0.000012098688,0.040969178,0.0002116517,0.016906016,0.39251235,0.43180358,0.0026782139],"about_ca_topic_score_codex":0.00453047,"about_ca_topic_score_gemma":0.009202345,"teacher_disagreement_score":0.7248478,"about_ca_system_score_codex":0.00013754606,"about_ca_system_score_gemma":0.000087738226,"threshold_uncertainty_score":0.9999634},"labels":[],"label_agreement":null},{"id":"W2577448965","doi":"10.1108/ijwhm-10-2015-0059","title":"Cycling, car, or public transit: a study of stress and mood upon arrival at work","year":2017,"lang":"en","type":"article","venue":"International Journal of Workplace Health Management","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Mood; Work (physics); Public transport; Affect (linguistics); Stress (linguistics); Promotion (chess); Psychology; Applied psychology; Social psychology; Transport engineering; Engineering; Political science","score_opus":0.05359959110892276,"score_gpt":0.38484139062604866,"score_spread":0.3312417995171259,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2577448965","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98254144,0.00024162768,0.00025290766,0.012863056,0.0011249013,0.00038203143,0.000007818813,0.000009034793,0.0025772098],"genre_scores_gemma":[0.99754494,0.0004946194,0.00029566896,0.00009996063,0.0002883951,0.000004651744,0.0000014457274,0.000007633695,0.0012626871],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977379,0.00014879215,0.0006631077,0.00018403052,0.0010239916,0.00024221478],"domain_scores_gemma":[0.99819535,0.00007060688,0.0010654537,0.0002126464,0.00024979975,0.00020611951],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015676813,0.000106968895,0.000273377,0.00016604847,0.00047640115,0.00021710883,0.0009251162,0.000041222174,0.00012345747],"category_scores_gemma":[0.00006818816,0.00008698672,0.00007637573,0.00009143725,0.00012591315,0.00043749975,0.00010611145,0.00017256754,0.0000012143456],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007811533,0.0007709935,0.9664843,0.00007128568,0.00032661014,0.000100335565,0.010136313,0.000067915666,4.996023e-7,0.00046974767,0.00045527885,0.020335566],"study_design_scores_gemma":[0.0027739585,0.0003152854,0.9776629,0.00046100718,0.000059703932,0.0000022001025,0.011580702,0.000012768885,0.0000051744805,0.0003006826,0.0066968836,0.00012871127],"about_ca_topic_score_codex":0.00091474666,"about_ca_topic_score_gemma":0.021375343,"teacher_disagreement_score":0.020460596,"about_ca_system_score_codex":0.00024752255,"about_ca_system_score_gemma":0.00014078553,"threshold_uncertainty_score":0.996482},"labels":[],"label_agreement":null},{"id":"W2579349670","doi":"10.1177/0739456x16688765","title":"The Role of Destination’s Built Environment on Nonmotorized Travel Behavior: A Case of Long Beach, California","year":2017,"lang":"en","type":"article","venue":"Journal of Planning Education and Research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Destinations; Travel behavior; Diversity (politics); Business; Mode choice; Transport engineering; Public transport; Geography; Tourism; Political science","score_opus":0.08326144139240506,"score_gpt":0.4503729233610102,"score_spread":0.36711148196860516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2579349670","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99726784,0.0006537656,0.000022083928,0.00051188515,0.00012643497,0.00012261509,0.0000056222425,7.867969e-7,0.0012889841],"genre_scores_gemma":[0.99926203,0.00008516719,0.00011605507,0.0000021868198,0.00014706273,0.000004415061,0.0000010399162,0.0000027249057,0.00037932038],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99894583,0.00015571239,0.0002491693,0.00006572895,0.00046302413,0.0001205259],"domain_scores_gemma":[0.998903,0.0002855803,0.00033500203,0.00013883377,0.00024349328,0.000094138166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028813488,0.00003753956,0.00009907083,0.0000891671,0.0010244213,0.0000763586,0.00023861992,0.00004387115,0.000024975596],"category_scores_gemma":[0.00047764753,0.000024868306,0.00003807745,0.00004274275,0.00042807517,0.00011269549,0.000014002919,0.00023182877,6.15228e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007565895,0.00041523084,0.9500135,0.000015614985,0.000011549629,0.000024582301,0.012744048,0.000002948856,0.0010268975,0.00020882086,0.0001486681,0.035312485],"study_design_scores_gemma":[0.00022019178,0.00011519819,0.9806562,0.000090856614,0.000018502331,0.000018807203,0.013493437,0.000014207462,0.0014557305,0.0006789805,0.0032006192,0.000037256956],"about_ca_topic_score_codex":0.0017663041,"about_ca_topic_score_gemma":0.0001885481,"teacher_disagreement_score":0.03527523,"about_ca_system_score_codex":0.000059325,"about_ca_system_score_gemma":0.0004380953,"threshold_uncertainty_score":0.78791237},"labels":[],"label_agreement":null},{"id":"W2579668602","doi":"","title":"Public Engagement in Public Transportation Projects: Challenges and Recommendations","year":2015,"lang":"en","type":"article","venue":"Transportation Research Board 94th Annual Meeting","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Public transport; Context (archaeology); Appeal; Public engagement; Transit (satellite); Business; Public relations; Community engagement; Public policy; Transport engineering; Political science; Public administration; Economic growth; Geography; Engineering; Economics","score_opus":0.3163510417207271,"score_gpt":0.41804074046532386,"score_spread":0.10168969874459677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2579668602","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94948894,0.0015515699,0.00008801322,0.030481687,0.00017375246,0.0011506774,0.0000973103,0.00018713386,0.016780917],"genre_scores_gemma":[0.9965106,0.0015986542,0.000993405,0.00006157332,0.00014354233,0.00023913861,0.0002283137,0.000023781897,0.00020095518],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99523455,0.0011775601,0.00067522953,0.00062378106,0.0013547662,0.0009341426],"domain_scores_gemma":[0.99757403,0.0004097232,0.00013277498,0.00020891622,0.0011011793,0.00057334953],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009598457,0.00018477094,0.00026190744,0.00061175146,0.000691728,0.00019572837,0.0003421766,0.00017522518,0.00009355496],"category_scores_gemma":[0.0007241796,0.00019399269,0.00005848874,0.0011140427,0.0004351317,0.0019248411,0.000006094098,0.00064472365,0.000011915727],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000099499026,0.00042442593,0.61559653,0.00017134326,0.000031414424,0.000030991283,0.26932484,0.000011963089,0.000029561583,0.052590996,0.000742314,0.0609461],"study_design_scores_gemma":[0.0011375594,0.00013353914,0.69478405,0.00011215326,0.000013096419,4.3481357e-8,0.21310344,0.00002779401,0.000028980805,0.0049558613,0.085404016,0.00029946686],"about_ca_topic_score_codex":0.009541129,"about_ca_topic_score_gemma":0.29426757,"teacher_disagreement_score":0.2847264,"about_ca_system_score_codex":0.0002129712,"about_ca_system_score_gemma":0.00078931433,"threshold_uncertainty_score":0.9970544},"labels":[],"label_agreement":null},{"id":"W2580258102","doi":"10.1155/2017/4060348","title":"Analyzing the Influence of Neighborhood Development Pattern on Modal Choice","year":2017,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Modal; Built environment; Travel behavior; Mode (computer interface); Logit; Mode choice; Logistic regression; Field (mathematics); Field survey; Computer science; Transport engineering; Operations research; Geography; Mathematics; Machine learning; Cartography; Engineering; Civil engineering; Public transport","score_opus":0.01849391352807991,"score_gpt":0.31551446092217844,"score_spread":0.29702054739409856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2580258102","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975134,0.00005584049,0.0013969917,0.00051046535,0.0001797946,0.00009847382,0.0000036515582,0.000005259912,0.00023613544],"genre_scores_gemma":[0.99939907,0.00005067417,0.0003764042,0.00003174592,0.00011099157,0.0000017547962,0.0000021040485,0.0000051781385,0.000022099975],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988207,0.000031088042,0.00050491345,0.000098308556,0.00040584314,0.00013911739],"domain_scores_gemma":[0.99838215,0.00008785035,0.0010004668,0.00017476737,0.00029203767,0.00006274758],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050048914,0.00008019703,0.00017032736,0.000049106642,0.0005571884,0.00004171232,0.00045521808,0.00004266693,0.000020013083],"category_scores_gemma":[0.00009660829,0.00005643872,0.00009333523,0.000078783,0.00015234997,0.00087823684,0.0000015574833,0.00017257327,8.65776e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006100352,0.00006537632,0.9497395,0.000018055372,0.000028174902,0.0000052573455,0.008846641,0.009890435,0.00079225434,0.0001743457,0.0000017230035,0.030377243],"study_design_scores_gemma":[0.0003871597,0.000043440676,0.99649,0.00011055981,0.00002992385,7.2845424e-8,0.00062290725,0.0000024988215,0.001179276,0.0005651172,0.0005044291,0.000064593565],"about_ca_topic_score_codex":0.00018401978,"about_ca_topic_score_gemma":0.0025482003,"teacher_disagreement_score":0.04675053,"about_ca_system_score_codex":0.00004156349,"about_ca_system_score_gemma":0.00017819887,"threshold_uncertainty_score":0.4285499},"labels":[],"label_agreement":null},{"id":"W2581434547","doi":"10.1016/j.tra.2017.01.003","title":"Daily activity-travel scheduling behaviour of non-workers in the National Capital Region (NCR) of Canada","year":2017,"lang":"en","type":"article","venue":"Transportation Research Part A Policy and Practice","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Economic Development and Innovation","keywords":"Business; Labour economics; Demographic economics; Economics","score_opus":0.15151990482835087,"score_gpt":0.4701449767504378,"score_spread":0.31862507192208694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2581434547","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9701333,0.0000248654,0.000034514225,0.013465333,0.00003483746,0.00028437795,0.000048172824,0.0000024567003,0.015972134],"genre_scores_gemma":[0.99936146,0.000089381545,0.00009294329,0.00007053001,0.000118783006,0.00001847365,0.000009026574,0.000004385673,0.00023499606],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99773526,0.00042928098,0.0002552912,0.00017639215,0.0011222038,0.00028156987],"domain_scores_gemma":[0.9975535,0.0014625831,0.00026603608,0.00016939676,0.00046521338,0.00008322888],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004499798,0.000068490175,0.00013407822,0.00010513855,0.00080656627,0.00006727634,0.00034488665,0.00007452951,0.000017084229],"category_scores_gemma":[0.0020234548,0.00005921189,0.0000332454,0.0002805463,0.0006267301,0.00095171446,0.0000045229826,0.00033984124,2.8866157e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004897634,0.0002422369,0.94560736,0.00009108237,0.000026900683,0.000025630146,0.03727838,0.00003796997,0.00031753135,0.014782245,0.00048712583,0.00061376096],"study_design_scores_gemma":[0.00029970176,0.000029100633,0.97959125,0.000039442828,0.000012545455,3.089879e-7,0.017873583,0.000015447047,0.00021030284,0.00059072213,0.0012781884,0.000059399878],"about_ca_topic_score_codex":0.93533176,"about_ca_topic_score_gemma":0.91898394,"teacher_disagreement_score":0.033983883,"about_ca_system_score_codex":0.00006792232,"about_ca_system_score_gemma":0.0029359935,"threshold_uncertainty_score":0.6203537},"labels":[],"label_agreement":null},{"id":"W2581955288","doi":"","title":"What’s Your Type: A Multidimensional Cyclist Typology","year":2014,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Typology; Cycling; Psychological intervention; Transport engineering; Flexibility (engineering); Psychology; Applied psychology; Geography; Engineering; Mathematics; Statistics","score_opus":0.03282266479371468,"score_gpt":0.29440048719160977,"score_spread":0.26157782239789507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2581955288","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90838635,0.00014518412,5.74623e-7,0.00035016687,0.0028786713,0.0002839461,0.00006732309,0.0002795593,0.08760823],"genre_scores_gemma":[0.99257475,0.00011259999,0.00070716924,0.0010583895,0.00018311628,0.000018875931,0.00004044013,0.000045685116,0.005258943],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9965594,0.0006378235,0.00051419326,0.0007859049,0.0006852411,0.0008174732],"domain_scores_gemma":[0.9981207,0.00033419923,0.00020276317,0.00054680626,0.00033986697,0.00045564718],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0019448063,0.00031387137,0.0004097725,0.000129381,0.002070378,0.000120340774,0.0006155567,0.00041416532,0.0012721338],"category_scores_gemma":[0.0010555713,0.00031028508,0.0002035132,0.0005613896,0.0004977716,0.0016861464,0.000118002215,0.0006497376,0.0008165338],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022252106,0.0005703071,0.024028158,0.000052800035,0.0001054884,0.000050196606,0.00012393284,0.00001628451,0.013156367,0.8692997,0.00006650994,0.09230772],"study_design_scores_gemma":[0.0012345236,0.0001557238,0.059587482,0.00009564488,0.00009747831,0.000005019282,0.0011621418,0.000031088373,0.004954196,0.07367364,0.8580668,0.00093624165],"about_ca_topic_score_codex":0.0024318583,"about_ca_topic_score_gemma":0.008643984,"teacher_disagreement_score":0.8580003,"about_ca_system_score_codex":0.00027797534,"about_ca_system_score_gemma":0.00007659672,"threshold_uncertainty_score":0.99996144},"labels":[],"label_agreement":null},{"id":"W2581994409","doi":"","title":"Rescuing the Captive Mode User: An Alternative Approach to Transport Market Segmentation","year":2012,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"McGill University","keywords":"Market segmentation; Context (archaeology); Ambiguity; Cluster analysis; Segmentation; Scale (ratio); Agency (philosophy); Market research; Marketing; Computer science; Business; Economics; Operations research; Geography; Sociology; Engineering; Artificial intelligence","score_opus":0.03848702392679305,"score_gpt":0.29828208711006426,"score_spread":0.2597950631832712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2581994409","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8164177,0.000042694202,0.000034056164,0.000060551527,0.00040873588,0.00092164293,0.00035333878,0.00016409656,0.18159722],"genre_scores_gemma":[0.99530715,0.00002448216,0.0020141406,0.00047104992,0.00020701087,0.0001617147,0.00006369317,0.000052338233,0.0016984344],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99604064,0.0008418133,0.00050484383,0.0006788286,0.0009941566,0.00093971385],"domain_scores_gemma":[0.99827296,0.00016609766,0.00019166684,0.00052832824,0.00021534342,0.00062563765],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0032360817,0.00034027526,0.00031720972,0.00012516051,0.002446208,0.00008997185,0.0008890979,0.00020242219,0.0002690853],"category_scores_gemma":[0.00013514813,0.00028024855,0.00018565296,0.00068456127,0.0002498436,0.0032575857,0.00005167391,0.00058829284,0.000047577956],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010538423,0.003271676,0.1981928,0.00015207077,0.0005322586,0.000026946675,0.01621848,0.0012766855,0.014637165,0.6514273,0.00005389654,0.11315687],"study_design_scores_gemma":[0.0035428915,0.00044439718,0.62258404,0.00023731672,0.0008382144,0.000009716843,0.05195532,0.0005892327,0.05934921,0.055001605,0.20125474,0.004193338],"about_ca_topic_score_codex":0.008397903,"about_ca_topic_score_gemma":0.006800263,"teacher_disagreement_score":0.5964257,"about_ca_system_score_codex":0.00059334,"about_ca_system_score_gemma":0.00004670431,"threshold_uncertainty_score":0.99996495},"labels":[],"label_agreement":null},{"id":"W2582090204","doi":"10.1186/s12942-017-0077-9","title":"International comparison of observation-specific spatial buffers: maximizing the ability to estimate physical activity","year":2017,"lang":"en","type":"article","venue":"International Journal of Health Geographics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":92,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Health Research Council of New Zealand; National Health and Medical Research Council; National Heart, Lung, and Blood Institute; Medical Research Council; National Cancer Institute; National Institutes of Health","keywords":"Health geography; Health informatics; Physical activity; Public health; Human geography; Computer science; Statistics; Econometrics; Environmental health; Geography; Medicine; Mathematics; Health policy; International health; Physical medicine and rehabilitation; Economic geography","score_opus":0.11167277242704368,"score_gpt":0.4628207439944978,"score_spread":0.35114797156745414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2582090204","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94864845,0.00008134621,0.0060507883,0.041556295,0.0028887887,0.00019450288,0.000029323053,0.000010998443,0.0005395071],"genre_scores_gemma":[0.99779826,0.000108642766,0.0010365208,0.0001375574,0.0008949718,0.000003358415,0.0000043633263,0.0000068401214,0.000009454998],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972989,0.0002002223,0.000670521,0.0001805992,0.0014244899,0.00022528722],"domain_scores_gemma":[0.9963054,0.0002910454,0.0016512807,0.00029797765,0.0013095292,0.0001447867],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024619794,0.00011503952,0.00032939864,0.00014832731,0.00079068996,0.0002693285,0.0018800572,0.000059675876,0.000050000406],"category_scores_gemma":[0.0005418907,0.000089205394,0.0002472708,0.00011710474,0.0004982134,0.00067891506,0.00009698952,0.00039091829,0.0000020515242],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018476835,0.000474219,0.886356,0.000011745123,0.000067111425,0.0000023950408,0.0044789496,0.00015737205,0.00012257895,0.002367237,0.0002012374,0.10557641],"study_design_scores_gemma":[0.0003343032,0.00007333706,0.9820488,0.00007635996,0.000009874935,7.320373e-7,0.00046953064,0.00042879293,0.000116994015,0.002158336,0.014205149,0.000077764314],"about_ca_topic_score_codex":0.004889804,"about_ca_topic_score_gemma":0.0022376925,"teacher_disagreement_score":0.10549864,"about_ca_system_score_codex":0.0001676447,"about_ca_system_score_gemma":0.00034513182,"threshold_uncertainty_score":0.73919535},"labels":[],"label_agreement":null},{"id":"W2582209954","doi":"10.24095/hpcdp.37.1.02","title":"Status report - The Public Health and Planning 101 project: strengthening collaborations between the public health and planning professions","year":2017,"lang":"en","type":"article","venue":"Health Promotion and Chronic Disease Prevention in Canada","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Professional Engineers Ontario; South Bruce Grey Health Centre; Public Health Agency of Canada","funders":"Public Health Agency; Public Health Agency of Canada","keywords":"Public health; Work (physics); Public relations; Process (computing); Medical education; Business; Built environment; Medicine; Political science; Nursing; Engineering; Computer science","score_opus":0.1450890663562117,"score_gpt":0.4264365615230037,"score_spread":0.281347495166792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2582209954","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81754696,0.008795121,0.0002772082,0.17043625,0.000427919,0.0022100485,0.000117401876,0.000042104435,0.00014697746],"genre_scores_gemma":[0.9977877,0.0008468789,0.000038362625,0.00049790874,0.00020840325,0.00018131948,0.0002047035,0.0000111762065,0.00022351583],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9966181,0.0010324528,0.000668663,0.0004212101,0.00047567295,0.00078392786],"domain_scores_gemma":[0.9974486,0.00011873763,0.00088158005,0.00036778155,0.00011169734,0.001071563],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.003328809,0.00015034502,0.0002560036,0.00007928802,0.007045988,0.00046459376,0.00020429568,0.000045474615,0.000022057826],"category_scores_gemma":[0.00055707875,0.00011023489,0.000024051647,0.0002733165,0.0003125482,0.00065309607,0.00007550188,0.00034303384,1.2874516e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006166237,0.00006551096,0.94998527,0.00038203003,0.000015706395,0.0000075995827,0.013593559,0.0000015807128,3.5116493e-8,0.0008359275,0.0019553162,0.033151314],"study_design_scores_gemma":[0.00060860615,0.000100272766,0.90863127,0.00058683933,0.000008714416,0.0000016780979,0.034594346,0.00023154942,5.3419633e-8,0.00068118534,0.054403216,0.00015229681],"about_ca_topic_score_codex":0.4101246,"about_ca_topic_score_gemma":0.88091815,"teacher_disagreement_score":0.47079355,"about_ca_system_score_codex":0.0013386959,"about_ca_system_score_gemma":0.059850894,"threshold_uncertainty_score":0.9942467},"labels":[],"label_agreement":null},{"id":"W2582671304","doi":"","title":"Transit to Eternal Youth: Life-cycle and Generational Trends in Greater Montreal Public Transport Mode Share","year":2013,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Public transport; TRIPS architecture; Suburbanization; Demographic economics; Mode choice; Pace; Geography; Demography; Economics; Population; Sociology; Transport engineering; Engineering","score_opus":0.036209860289375874,"score_gpt":0.2593039219610632,"score_spread":0.22309406167168735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2582671304","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96990967,0.000048621016,0.0000026280009,0.0006814945,0.00017234238,0.00040761894,0.0013334554,0.00014116874,0.027303008],"genre_scores_gemma":[0.99737644,0.000014961389,0.00029971576,0.0006626041,0.000103764454,0.00010336271,0.00019564762,0.000043082688,0.0012003975],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9967192,0.00022652205,0.0006351605,0.00085643574,0.00073309813,0.000829577],"domain_scores_gemma":[0.9984678,0.000045642366,0.000092403534,0.00031695684,0.0001853588,0.0008918181],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00064801145,0.00035560314,0.00041099626,0.00037426528,0.00096742867,0.00020421669,0.00050804776,0.00030390295,0.002783439],"category_scores_gemma":[0.00006753102,0.00035018686,0.00018160892,0.00072230655,0.00016005589,0.0022752304,0.000033783166,0.00047606305,0.00007590969],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003418241,0.0009831318,0.583483,0.00008528445,0.00021669458,0.00013046157,0.0035925994,0.0005253781,0.005808708,0.0232224,0.000030291318,0.38158023],"study_design_scores_gemma":[0.0014484006,0.00008166496,0.98684806,0.000045724206,0.00005767985,0.0000018306631,0.0006682784,0.00020146492,0.0007153669,0.0062587317,0.0028977303,0.00077508244],"about_ca_topic_score_codex":0.03375744,"about_ca_topic_score_gemma":0.13244228,"teacher_disagreement_score":0.40336505,"about_ca_system_score_codex":0.0002649229,"about_ca_system_score_gemma":0.000060214315,"threshold_uncertainty_score":0.99989504},"labels":[],"label_agreement":null},{"id":"W2582808687","doi":"","title":"Cycling in Toronto: Route Choice Behavior and Implications to Infrastructure Planning","year":2017,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cycling; Transport engineering; Business; Computer science; Engineering; Geography; Forestry","score_opus":0.01627198698178618,"score_gpt":0.30254797536933536,"score_spread":0.2862759883875492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2582808687","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9936941,0.00014670435,0.000001961156,0.000362027,0.0001794143,0.0003367335,0.00004951424,0.000027641594,0.0052018845],"genre_scores_gemma":[0.9129418,0.000055019205,0.00037471257,0.0000074243508,0.00005170423,0.0000011990065,0.00017101702,0.000008725753,0.08638837],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991653,0.000030351926,0.000101540536,0.0003173894,0.00016344058,0.00022199789],"domain_scores_gemma":[0.9993326,0.000026881655,0.00018549115,0.00024495556,0.00008416335,0.00012591589],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014492452,0.00012945838,0.00025249907,0.000081967795,0.0006373038,0.000055666947,0.0004563645,0.00026916977,0.00017661172],"category_scores_gemma":[0.000027325397,0.00016043337,0.000058669226,0.000074198346,0.00010049458,0.0005210875,0.00002501865,0.00017405934,0.0000021099224],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002653078,0.000021182797,0.7343542,0.000043131135,0.0000103855255,0.000005993846,0.25803098,0.000004816935,0.00038204013,0.000078173296,0.00010340551,0.0069391257],"study_design_scores_gemma":[0.00015078194,0.000011222614,0.84364897,0.00010310189,0.000056186913,4.6065853e-8,0.15486845,0.0000012955271,0.000021385296,0.00007260074,0.000924387,0.00014157088],"about_ca_topic_score_codex":0.6282933,"about_ca_topic_score_gemma":0.94440156,"teacher_disagreement_score":0.31610826,"about_ca_system_score_codex":0.00021379541,"about_ca_system_score_gemma":0.000127884,"threshold_uncertainty_score":0.65422827},"labels":[],"label_agreement":null},{"id":"W2583534472","doi":"","title":"Increasing transportation options through changes to urban form : a sustainability agenda for Winnipeg","year":2007,"lang":"en","type":"article","venue":"Mspace (University of Manitoba)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sustainability; Business; Urban sustainability; Environmental planning; Geography","score_opus":0.030160534582695766,"score_gpt":0.27954678402414335,"score_spread":0.24938624944144758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2583534472","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95177424,0.000040336363,0.038360342,0.0072371913,0.000112839065,0.00079959305,0.000056765366,0.00008535083,0.0015333372],"genre_scores_gemma":[0.99279386,0.000012243959,0.006592294,0.0000841614,0.00010023463,0.0000010646786,0.000031467094,0.000007532946,0.0003771693],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99893814,0.000048777147,0.00010455053,0.00027211863,0.00025953606,0.0003768886],"domain_scores_gemma":[0.9990932,0.00015224612,0.000103066144,0.00017725855,0.00035284428,0.000121389865],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010832284,0.00010148754,0.00018049827,0.000100917394,0.00083082693,0.000019614463,0.00027559057,0.00010957223,0.000014772802],"category_scores_gemma":[0.00008779451,0.00013275257,0.00011907129,0.00045632944,0.0002568671,0.0005149387,0.000012211589,0.00007716629,0.0000025113422],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004978127,0.0001969348,0.9326617,0.0001675373,0.000034238463,0.000013539775,0.049707294,0.000015585145,0.00033263172,0.010653187,0.0016030846,0.0041164705],"study_design_scores_gemma":[0.0003323,0.00007870557,0.79751253,0.000018989327,0.000057767043,7.7041584e-8,0.13125543,0.0000070485935,0.00011861823,0.002188694,0.06828316,0.00014667734],"about_ca_topic_score_codex":0.06390794,"about_ca_topic_score_gemma":0.9492018,"teacher_disagreement_score":0.88529384,"about_ca_system_score_codex":0.0003701134,"about_ca_system_score_gemma":0.00015701237,"threshold_uncertainty_score":0.9423256},"labels":[],"label_agreement":null},{"id":"W2584158446","doi":"10.1108/9781781902882-011","title":"Web versus Pencil-and-Paper Surveys of Weekly Mobility: Conviviality, Technical and Privacy Issues","year":2013,"lang":"en","type":"book-chapter","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geocoding; Computer science; Respondent; Software deployment; Data quality; Mobile device; World Wide Web; Metric (unit); Engineering; Geography; Cartography","score_opus":0.05669079644807117,"score_gpt":0.32323885901343696,"score_spread":0.2665480625653658,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2584158446","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05288939,0.0025805715,0.000015292637,0.0015706012,0.0003261185,0.0009576759,0.00008722028,0.00015356476,0.94141954],"genre_scores_gemma":[0.6457836,0.00204382,0.00026862638,0.00004597409,0.0002019136,0.000011921974,0.000022545491,0.000025045525,0.35159653],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976816,0.00016053831,0.0005870065,0.0006480706,0.0006212701,0.00030149895],"domain_scores_gemma":[0.9983854,0.0004475681,0.0002135734,0.0004921436,0.00024028908,0.0002209684],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0022878828,0.00031303082,0.0007356688,0.000070723516,0.00020023489,0.00009599442,0.00042201462,0.0006509274,0.009804819],"category_scores_gemma":[0.00018236887,0.0002658941,0.00015579267,0.000046614758,0.0021730314,0.00037920586,0.00019038274,0.00035328447,0.000046513327],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029421892,0.00047845716,0.16929157,0.0010694196,0.0004553553,0.000019502926,0.0038138756,7.789613e-8,0.0005531996,0.75508046,0.013550729,0.05539311],"study_design_scores_gemma":[0.0015675044,0.00033488587,0.19380386,0.00021260265,0.00031587828,6.2863927e-7,0.00039500053,0.000003529838,0.000054827367,0.0920859,0.7100385,0.0011868686],"about_ca_topic_score_codex":0.011483973,"about_ca_topic_score_gemma":0.022962958,"teacher_disagreement_score":0.6964878,"about_ca_system_score_codex":0.000056596356,"about_ca_system_score_gemma":0.00029037107,"threshold_uncertainty_score":0.9999793},"labels":[],"label_agreement":null},{"id":"W2584572070","doi":"10.32396/usurj.v2i2.158","title":"The Effectiveness of Saskatoon's Bicycle Boulevard","year":2016,"lang":"en","type":"article","venue":"USURJ University of Saskatchewan Undergraduate Research Journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Saskatchewan","funders":"University of Saskatchewan","keywords":"Boulevard; Transport engineering; Signage; Environmental planning; Geography; Business; Engineering; Civil engineering; Advertising","score_opus":0.030993902576469726,"score_gpt":0.3120857523668287,"score_spread":0.28109184979035895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2584572070","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98018426,0.00020845578,0.0015477046,0.007435204,0.00015452802,0.0002663548,0.000014423862,0.0000218253,0.010167242],"genre_scores_gemma":[0.99528384,0.00063335436,0.00011671305,0.0000021311719,0.00006960996,1.9112362e-7,5.699244e-7,0.000008815073,0.0038847637],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9943918,0.003080286,0.00025006654,0.000223045,0.0014180609,0.00063674804],"domain_scores_gemma":[0.9949536,0.0031679093,0.00021155507,0.0003083975,0.0010565288,0.00030201467],"candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.013239014,0.00010647953,0.00026138668,0.0001989637,0.0020416428,0.000066700864,0.0010592617,0.00011202969,0.00009591579],"category_scores_gemma":[0.00036986868,0.000070365706,0.00023541068,0.00064547895,0.0037704366,0.0005352238,0.00010637752,0.00042672307,0.000016616705],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0044666114,0.0007938902,0.83430064,0.00029839584,0.00067675795,0.00020148006,0.0254144,0.00001223829,0.038946893,0.02148175,0.0028387832,0.07056815],"study_design_scores_gemma":[0.003952653,0.0006008936,0.5317091,0.0010128156,0.00008251656,0.0000073544156,0.103609174,0.0000054901575,0.010399234,0.30629286,0.041894145,0.0004338126],"about_ca_topic_score_codex":0.0065682177,"about_ca_topic_score_gemma":0.021664578,"teacher_disagreement_score":0.3025916,"about_ca_system_score_codex":0.00032459103,"about_ca_system_score_gemma":0.0017964374,"threshold_uncertainty_score":0.99925756},"labels":[],"label_agreement":null},{"id":"W2585383995","doi":"10.36939/cjur/vol25no2/art40","title":"Opportunities and Barriers to Promoting Public Transit Use in a Midsize Canadian City","year":2016,"lang":"en","type":"article","venue":"Canadian journal of urban research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Queen's University","funders":"","keywords":"Public transport; Transit (satellite); Business; Subsidy; Transport engineering; Population; Work (physics); Engineering; Political science; Environmental health; Medicine","score_opus":0.23030609886968387,"score_gpt":0.3565516801824852,"score_spread":0.1262455813128013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2585383995","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9484824,0.00023973647,0.000007034009,0.047428496,0.00011151653,0.00019754255,0.000055601817,0.0000039804495,0.0034737124],"genre_scores_gemma":[0.99793285,0.00003918106,0.000043642296,0.00023811663,0.00013310817,0.0000047630333,6.2794965e-7,0.000011797726,0.0015959067],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971282,0.0005973574,0.00035755514,0.00020822212,0.0005384398,0.0011702116],"domain_scores_gemma":[0.99101204,0.00033155957,0.000049866394,0.00015486272,0.00066990894,0.007781756],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006508517,0.000098584715,0.00021351445,0.0014549094,0.00080839946,0.0004293436,0.00051834434,0.000121538986,0.0011125262],"category_scores_gemma":[0.0035951256,0.00007956775,0.00005420162,0.00074425386,0.00081938517,0.00097250193,0.000008355388,0.00039988122,0.0000035190387],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014548162,0.000004649156,0.9776774,0.000009737173,0.000010264074,0.0005036819,0.011772408,7.9096544e-8,0.000051112158,0.0015169557,0.0036625734,0.0047765663],"study_design_scores_gemma":[0.00053241657,0.00011986731,0.6686841,0.00031722925,0.000005737259,0.000006811968,0.009341302,0.0000015239182,0.00004744213,0.0009776051,0.3197446,0.00022132912],"about_ca_topic_score_codex":0.84709835,"about_ca_topic_score_gemma":0.9979346,"teacher_disagreement_score":0.31608203,"about_ca_system_score_codex":0.0010948788,"about_ca_system_score_gemma":0.023644568,"threshold_uncertainty_score":0.99980056},"labels":[],"label_agreement":null},{"id":"W2585425721","doi":"10.1093/heapro/daw110","title":"Health promotion by stealth: active transportation success in Helsinki, Finland","year":2016,"lang":"en","type":"article","venue":"Health Promotion International","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Health promotion; TRIPS architecture; Promotion (chess); Public health; Political science; Politics; Dominance (genetics); Health policy; Population; Economic growth; Public relations; Environmental health; Business; Medicine; Economics; Nursing; Engineering","score_opus":0.0466613372344378,"score_gpt":0.3887309521440637,"score_spread":0.34206961490962595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2585425721","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8277652,0.00010280407,0.008608612,0.15884951,0.0012228544,0.0012385617,0.00047826653,0.00011434319,0.0016198106],"genre_scores_gemma":[0.99620086,0.00034022453,0.00015275755,0.0004077077,0.00027080122,0.0001072061,0.00037624285,0.000014784538,0.0021294456],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971278,0.0004362312,0.0007363013,0.00046910896,0.0007276413,0.0005029323],"domain_scores_gemma":[0.9988409,0.000088383444,0.00048046032,0.0001286844,0.0002033434,0.0002581728],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014766773,0.0001498231,0.00025311465,0.0001889056,0.00039375134,0.000047588303,0.0002767993,0.00012182278,0.0011503951],"category_scores_gemma":[0.00007851952,0.00012628472,0.00006200693,0.00031057952,0.0001405239,0.0010458966,0.0000061387805,0.00018512429,0.000042599473],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014381003,0.0017311253,0.79633594,0.00016859113,0.000021656411,0.0000029698433,0.013558129,0.0000031408997,0.000094495124,0.0055360114,0.004802845,0.17760128],"study_design_scores_gemma":[0.001890046,0.00042187457,0.9676766,0.00049880455,0.000003066072,5.1668275e-7,0.0005262563,0.000027629012,0.00018316595,0.004442479,0.024081863,0.0002477238],"about_ca_topic_score_codex":0.008561348,"about_ca_topic_score_gemma":0.04754198,"teacher_disagreement_score":0.17735355,"about_ca_system_score_codex":0.0011997476,"about_ca_system_score_gemma":0.0008996103,"threshold_uncertainty_score":0.9997627},"labels":[],"label_agreement":null},{"id":"W2585836592","doi":"","title":"Get Moving School: Comparing Influences on the Potential for Active School Travel in Four School Neighbourhoods in a Large Urban Centre in Western Canada","year":2014,"lang":"en","type":"article","venue":"QSpace (Queen's University Library)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geography; Mathematics education; Socioeconomics; Sociology; Psychology","score_opus":0.008647213520817175,"score_gpt":0.2066908052324647,"score_spread":0.1980435917116475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2585836592","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9660722,0.00000713174,0.000099962235,0.027940432,0.00012356525,0.000667091,0.000041993877,0.00004949951,0.004998122],"genre_scores_gemma":[0.99473214,0.000014181522,0.00010301186,0.00051049655,0.00012126419,0.0000031759334,0.00001389101,0.000017195465,0.0044846367],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976215,0.0004962205,0.00024761749,0.00050419744,0.00039613404,0.00073437934],"domain_scores_gemma":[0.9989278,0.000270971,0.00015456414,0.00026613666,0.000036135618,0.00034439733],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035416245,0.00023313335,0.00035826807,0.00028760257,0.00042238325,0.0001621265,0.0008275514,0.00016442774,0.00027096426],"category_scores_gemma":[0.0002198361,0.00022525931,0.00009528027,0.00077832956,0.00012172502,0.0020788307,0.000111007175,0.0006492701,0.000006775704],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002116066,0.00008198275,0.99406326,0.00001986077,0.000012673982,0.000043446613,0.0014231516,0.0002539688,0.0000027195374,0.0014779206,0.0023579064,0.00005152143],"study_design_scores_gemma":[0.0013033296,0.000025227944,0.9801228,0.00014912485,0.00001172095,1.9035866e-8,0.012505556,0.00019708912,0.00006089859,0.0004558079,0.004893599,0.0002748512],"about_ca_topic_score_codex":0.80370605,"about_ca_topic_score_gemma":0.920224,"teacher_disagreement_score":0.11651801,"about_ca_system_score_codex":0.0006087697,"about_ca_system_score_gemma":0.0014589117,"threshold_uncertainty_score":0.91858083},"labels":[],"label_agreement":null},{"id":"W2586908313","doi":"10.1007/s40572-017-0121-8","title":"“Contextualizing Context”: Reconciling Environmental Exposures, Social Networks, and Location Preferences in Health Research","year":2017,"lang":"en","type":"review","venue":"Current Environmental Health Reports","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":60,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"Canadian Institutes of Health Research; Agence Nationale de la Recherche","keywords":"Context (archaeology); Environmental health; Environmental epidemiology; Social environment; Psychology; Geography; Medicine; Sociology; Social science","score_opus":0.4376581075956691,"score_gpt":0.5121802340713366,"score_spread":0.07452212647566753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2586908313","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0030005097,0.99239457,0.0000133719905,0.00016583684,0.0011435876,0.0030023875,0.00007134091,0.00004105435,0.0001673348],"genre_scores_gemma":[0.23849101,0.76001036,0.000010648226,0.000029957548,0.0005828464,0.00019731467,0.00048481047,0.000040099243,0.00015297663],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9909206,0.0025198397,0.0025338624,0.0014302537,0.0011972504,0.0013982165],"domain_scores_gemma":[0.9959611,0.00033004335,0.002498045,0.00060618005,0.0000124935395,0.00059208804],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.009653769,0.0005284726,0.0019009502,0.0002681225,0.0033264793,0.00022875643,0.00046637366,0.00043906187,0.00012171196],"category_scores_gemma":[0.00014146374,0.0005264668,0.00021626281,0.00019399151,0.0015295626,0.0005002879,0.00020503679,0.0016840374,0.000012710891],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006223268,0.00022347084,0.021740852,0.0041494193,0.000015793497,0.000021247275,0.003572066,4.8121626e-7,1.2580634e-8,0.000023994748,0.00026688175,0.9699796],"study_design_scores_gemma":[0.00017453855,0.000079343576,0.012718257,0.0076671834,0.000025155701,0.000009408337,0.002532553,0.000003929507,5.435314e-8,0.00015864585,0.9762209,0.00041004905],"about_ca_topic_score_codex":0.004839523,"about_ca_topic_score_gemma":0.0077931616,"teacher_disagreement_score":0.975954,"about_ca_system_score_codex":0.0032717385,"about_ca_system_score_gemma":0.0019522606,"threshold_uncertainty_score":0.99971867},"labels":[],"label_agreement":null},{"id":"W2587165967","doi":"10.1093/pch/14.suppl_a.27aa","title":"Active Transportation for School Aged Children: Rates of Bicycling to School in an Urban Population","year":2009,"lang":"en","type":"article","venue":"Paediatrics & Child Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"Geography; Demography; Environmental health; Population; Transport engineering; Medicine; Engineering; Sociology","score_opus":0.02216495038552777,"score_gpt":0.3492333332240987,"score_spread":0.3270683828385709,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2587165967","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945934,0.00035306485,0.000550085,0.002451223,0.00013092696,0.0016386491,0.00011896458,0.000058300426,0.00010539015],"genre_scores_gemma":[0.99640685,0.00011763465,0.0014585045,0.00084530807,0.0007036818,0.000021084516,0.0004256255,0.000011941012,0.000009368028],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980718,0.0001469077,0.0006407871,0.0003783579,0.0003336866,0.00042850044],"domain_scores_gemma":[0.99892557,0.000077749944,0.00029952294,0.0001704614,0.00010509051,0.00042160938],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011576628,0.00013731651,0.00031321557,0.0003043794,0.00043388508,0.0000360262,0.0002119261,0.0001246838,0.000028370347],"category_scores_gemma":[0.00023968265,0.0001459206,0.00009356395,0.0009893555,0.00002415425,0.0005824017,0.000001924408,0.00024062916,0.0000021806525],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010371325,0.0001772831,0.9894332,0.000024463548,0.0000029028506,1.5754667e-7,0.005642833,0.000111363595,0.000010321811,0.00027816804,0.000096747804,0.0041187946],"study_design_scores_gemma":[0.0006047326,0.0001989149,0.99685746,0.000030897612,0.0000132140185,1.5691052e-8,0.00046899196,0.000014396275,0.000028708162,0.0015989561,0.000039897634,0.00014383809],"about_ca_topic_score_codex":0.00643844,"about_ca_topic_score_gemma":0.021799877,"teacher_disagreement_score":0.015361438,"about_ca_system_score_codex":0.00023792837,"about_ca_system_score_gemma":0.00038118864,"threshold_uncertainty_score":0.9960497},"labels":[],"label_agreement":null},{"id":"W2587313928","doi":"10.1016/j.nupar.2016.10.067","title":"Étude des disparités d’éducation du quartier sur la pratique du transport actif vers le lieu de travail/étude : l’effet modérateur de la distance (une étude ACTI-Cités)","year":2017,"lang":"fr","type":"article","venue":"Nutrition Clinique et Métabolisme","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.028149750191874438,"score_gpt":0.34333155879049065,"score_spread":0.3151818085986162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2587313928","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9523829,0.002258068,0.01116467,0.028029937,0.0011322484,0.0010171573,0.0003141622,0.0002447227,0.0034561236],"genre_scores_gemma":[0.96841186,0.025677603,0.0018978817,0.0006744944,0.0016446677,0.0004233047,0.00015565424,0.00010202658,0.0010124914],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99367416,0.0024516487,0.0010756768,0.001036469,0.0006687208,0.0010933204],"domain_scores_gemma":[0.99601203,0.0012113972,0.0008651812,0.000835577,0.00043182896,0.00064396363],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0054812417,0.00062665367,0.00084354274,0.000119323355,0.0019343302,0.0006093235,0.0011727879,0.0012555814,0.00018125882],"category_scores_gemma":[0.0007845328,0.00073427655,0.0004985597,0.00045659955,0.0026003981,0.0038375563,0.00003974205,0.0013904526,0.000024128138],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008984258,0.007420683,0.86299586,0.0012263507,0.0001834066,0.00017283077,0.073601566,0.00015423985,0.0016476698,0.033512164,0.0054353154,0.012751485],"study_design_scores_gemma":[0.002662013,0.00010526527,0.9179153,0.00069122226,0.00021576813,0.000011425951,0.0026333118,0.00035472962,0.0017190371,0.01557273,0.057353295,0.0007659322],"about_ca_topic_score_codex":0.040932074,"about_ca_topic_score_gemma":0.14558667,"teacher_disagreement_score":0.104654595,"about_ca_system_score_codex":0.00063358643,"about_ca_system_score_gemma":0.0027487925,"threshold_uncertainty_score":0.9995108},"labels":[],"label_agreement":null},{"id":"W2587945386","doi":"10.1016/j.habitatint.2017.02.001","title":"Potential of Geographic Information Systems for Refugee Crisis: Syrian Refugee Relocation in Urban Habitats","year":2017,"lang":"en","type":"article","venue":"Habitat International","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Refugee; Metropolitan area; Relocation; Geography; Government (linguistics); Regional science; Census; Economic growth; Economic geography; Political science; Sociology; Population; Computer science; Economics","score_opus":0.01633153789830418,"score_gpt":0.30531542609136325,"score_spread":0.2889838881930591,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2587945386","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98589134,0.00012681157,0.0022858256,0.002183778,0.0024876364,0.00063971605,0.000117708005,0.000044085442,0.0062230807],"genre_scores_gemma":[0.9988935,0.000030801202,0.00028450668,0.00004755286,0.00030661112,0.000092623304,0.00014858675,0.000007046604,0.0001887834],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99846935,0.00005495594,0.00055772334,0.0001887105,0.00051733246,0.00021191592],"domain_scores_gemma":[0.9985711,0.00004846539,0.00050286256,0.00029536616,0.0005201154,0.00006207673],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010190115,0.000102336235,0.0001756099,0.00025714646,0.00040560824,0.00027832043,0.00068313966,0.0001265764,0.00002533061],"category_scores_gemma":[0.00042108982,0.00010580047,0.00011863314,0.00008281492,0.00020558147,0.0021041594,0.000030965493,0.000101763566,0.000010699825],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001518666,0.00010629844,0.9462143,0.0000850986,0.00004281783,0.0000010191875,0.002070825,0.00010016586,0.00007779395,0.048294183,0.0016433969,0.0012122235],"study_design_scores_gemma":[0.00092081825,0.000039971965,0.96241117,0.00010933546,0.00002175211,3.2132797e-7,0.0014182805,0.00089528837,0.000059806258,0.004106386,0.029857844,0.00015900642],"about_ca_topic_score_codex":0.0038737766,"about_ca_topic_score_gemma":0.0046326374,"teacher_disagreement_score":0.044187795,"about_ca_system_score_codex":0.00011555801,"about_ca_system_score_gemma":0.00012249427,"threshold_uncertainty_score":0.58560175},"labels":[],"label_agreement":null},{"id":"W2588844648","doi":"10.1080/14649365.2017.1294702","title":"Gendered mobilities in the making: moving from a pedestrian to vehicular mobility landscape in Shimshal, Pakistan","year":2017,"lang":"en","type":"article","venue":"Social & Cultural Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"Social Sciences and Humanities Research Council of Canada; Brock University","keywords":"Mobilities; Context (archaeology); Social mobility; Sociology; Pedestrian; Gender studies; Economic geography; Prosperity; Geography; Political science; Social science; Law","score_opus":0.050389209899516556,"score_gpt":0.36611244375665253,"score_spread":0.31572323385713597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2588844648","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9875231,0.00031447748,0.000002740554,0.002705416,0.00020339474,0.0007102365,0.00007270494,0.000056809946,0.008411164],"genre_scores_gemma":[0.999043,0.000020838648,0.00004932344,0.00027641907,0.0004382787,0.00009650903,0.000030027904,0.000008616054,0.00003700002],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975347,0.00038317763,0.00040694352,0.0005166945,0.0005497951,0.0006087231],"domain_scores_gemma":[0.99912804,0.00009651942,0.0001630858,0.00044193564,0.0000906526,0.00007977465],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0013273433,0.00021381765,0.00032923956,0.00008941459,0.0020001943,0.00086184713,0.0012301935,0.00021065318,0.0001550137],"category_scores_gemma":[0.00019012067,0.0001579129,0.0003071107,0.00048654032,0.00064385845,0.0006469141,0.000078014295,0.00037229666,0.00000654422],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004358684,0.000111872825,0.90215033,0.000011739694,0.000013668234,0.00001362179,0.09620291,0.0000026578089,0.000030098929,0.00032525565,0.00013687905,0.0009573856],"study_design_scores_gemma":[0.00034825713,0.000015343267,0.89100397,0.000024336061,0.000012601754,3.996738e-8,0.100187436,0.0000040387536,0.000004250877,0.005338789,0.002852144,0.00020880814],"about_ca_topic_score_codex":0.06296924,"about_ca_topic_score_gemma":0.19936287,"teacher_disagreement_score":0.13639364,"about_ca_system_score_codex":0.00007991705,"about_ca_system_score_gemma":0.000091816226,"threshold_uncertainty_score":0.99929905},"labels":[],"label_agreement":null},{"id":"W2589023677","doi":"","title":"Sketch Model for Estimating Station Level Ridership for LRT","year":2016,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transport engineering; Flexibility (engineering); Pedestrian; Computer science; Service (business); Population; Geography; Statistics; Engineering; Business; Mathematics","score_opus":0.21416457635816555,"score_gpt":0.3921791208935409,"score_spread":0.17801454453537535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2589023677","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.088712685,0.000004167817,0.90612614,0.0021772159,0.00011085896,0.00044130645,0.00007149874,0.000063628,0.0022924866],"genre_scores_gemma":[0.7971023,5.945613e-7,0.18813507,0.000069737216,0.00013147618,0.00006950745,0.000007410406,0.000005577177,0.014478377],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993449,0.000011246864,0.00014538979,0.00016154253,0.00012105877,0.00021586874],"domain_scores_gemma":[0.9993908,0.00031315925,0.000048853202,0.000072213785,0.00012225476,0.00005275505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006195664,0.00005171441,0.00007405393,0.000017029606,0.00029984783,0.000033331762,0.000110765344,0.000047339272,0.00008864381],"category_scores_gemma":[0.00028957892,0.000034674315,0.000058368576,0.00004414136,0.0000667873,0.00036046063,0.000003196785,0.000014216426,0.000003377063],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030747717,0.00025801983,0.1655913,0.0003130649,0.00005439787,2.0489644e-7,0.032808296,0.001049918,0.0018925428,0.247392,0.024646532,0.52568626],"study_design_scores_gemma":[0.0013993522,0.000055041914,0.011361146,0.000044082182,0.000035388453,1.166594e-8,0.0015349761,0.47978666,0.0012814673,0.5020094,0.0021758452,0.0003166087],"about_ca_topic_score_codex":0.0003315882,"about_ca_topic_score_gemma":0.0052519157,"teacher_disagreement_score":0.7179911,"about_ca_system_score_codex":0.000044381242,"about_ca_system_score_gemma":0.00013116378,"threshold_uncertainty_score":0.29306924},"labels":[],"label_agreement":null},{"id":"W2589706952","doi":"10.1007/s11116-017-9766-2","title":"All minutes are not equal: travel time and the effects of congestion on commute satisfaction in Canadian cities","year":2017,"lang":"en","type":"article","venue":"Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":151,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University; McMaster University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Traffic congestion; Duration (music); Stressor; Travel time; Affect (linguistics); Travel behavior; Transport engineering; Psychology; Demographic economics; Geography; Economics; Engineering","score_opus":0.023252666737353433,"score_gpt":0.28301812864312226,"score_spread":0.2597654619057688,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2589706952","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968181,0.00004892325,0.000007854235,0.0018291139,0.00011455352,0.0003455885,0.00004507499,0.000010935959,0.0007798405],"genre_scores_gemma":[0.99961716,0.00006394134,0.000011982522,0.00010164954,0.000026240017,0.000014087301,0.000035675108,0.00000477181,0.0001244749],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99930906,0.000082751816,0.00017182498,0.000118129115,0.00016515868,0.00015304881],"domain_scores_gemma":[0.99938107,0.00021817494,0.00015615819,0.0001416175,0.000038178165,0.0000648118],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047461846,0.000071810995,0.00015138512,0.00005528316,0.00035462255,0.000045705612,0.000112849746,0.00007719644,0.000019135128],"category_scores_gemma":[0.00008335582,0.000058819624,0.000033057124,0.000037801437,0.0004243961,0.0002619638,5.836161e-7,0.00008885775,0.0000016982206],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011925688,0.000014268488,0.9770259,0.000058978643,0.000010625031,0.000004065825,0.015311928,0.000008372793,0.00022438273,0.0051127872,0.000019961612,0.002089451],"study_design_scores_gemma":[0.0008062631,0.000019977926,0.9968001,0.000083111874,0.00003158468,1.804005e-8,0.00040829505,0.000033418906,0.00049640035,0.0011924893,0.00006246936,0.00006584225],"about_ca_topic_score_codex":0.8106185,"about_ca_topic_score_gemma":0.9821312,"teacher_disagreement_score":0.17151266,"about_ca_system_score_codex":0.000044843513,"about_ca_system_score_gemma":0.00007490446,"threshold_uncertainty_score":0.2727506},"labels":[],"label_agreement":null},{"id":"W2589898880","doi":"10.1186/s12889-017-4128-8","title":"Association between perceived built environmental attributes and physical activity among adults in South Africa","year":2017,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Medical Research Council; McMaster University; Hamilton Health Sciences","keywords":"Walkability; Biostatistics; Built environment; Neighbourhood (mathematics); Level design; Physical activity; Demography; Medicine; Association (psychology); Environmental health; Cross-sectional study; Logistic regression; Public transport; Public health; Geography; Transport engineering; Psychology; Physical therapy; Mathematics","score_opus":0.0646056855425983,"score_gpt":0.32648108644473633,"score_spread":0.261875400902138,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2589898880","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956547,0.000020097057,0.000037651756,0.003176905,0.000053182906,0.0003121933,0.00010077158,0.000036035286,0.0006084359],"genre_scores_gemma":[0.99934536,0.0000132465675,0.00003229673,0.000016205628,0.0002829482,0.00001235092,0.000018598386,0.0000061872092,0.00027279626],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99830997,0.00030876507,0.00015598972,0.00031669534,0.0003818322,0.00052676606],"domain_scores_gemma":[0.99898684,0.00015967664,0.00030544453,0.00022674231,0.000015399613,0.00030588437],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015865556,0.000098339886,0.00024939442,0.000041847758,0.0010446662,0.00023697724,0.00026729773,0.00011026408,0.000027069238],"category_scores_gemma":[0.00041951367,0.00009563903,0.000050705145,0.000068436726,0.00024663587,0.0009202158,0.000051283667,0.00020885812,0.000007152409],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000047137264,0.00012700431,0.9660976,0.000014943626,0.0000054976445,2.5386137e-7,0.029336631,4.21914e-8,0.0000028772752,0.000015183467,0.000029838066,0.0043654013],"study_design_scores_gemma":[0.0003888509,0.000023069459,0.9968159,0.00001173122,0.0000044234253,4.8429034e-9,0.0018030839,0.000047084202,0.0000019286572,0.00010486492,0.000703283,0.00009574708],"about_ca_topic_score_codex":0.0085137235,"about_ca_topic_score_gemma":0.015731376,"teacher_disagreement_score":0.030718315,"about_ca_system_score_codex":0.00057806127,"about_ca_system_score_gemma":0.00034513287,"threshold_uncertainty_score":0.99808866},"labels":[],"label_agreement":null},{"id":"W2589944594","doi":"10.1016/j.tra.2017.03.005","title":"Get on board: Assessing an all-door boarding pilot project in Montreal, Canada","year":2017,"lang":"en","type":"article","venue":"Transportation Research Part A Policy and Practice","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Service (business); Transport engineering; Service quality; Customer satisfaction; Business; Transit (satellite); Travel time; Quality (philosophy); Public transport; Marketing; Advertising; Engineering","score_opus":0.25095538009395113,"score_gpt":0.5223307133686048,"score_spread":0.2713753332746537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2589944594","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9194034,0.000048623217,0.000008919086,0.02037945,0.00009078186,0.00056912523,0.000056796012,0.000028651806,0.059414282],"genre_scores_gemma":[0.9974726,0.00028993547,0.00012436252,0.0006764873,0.00038340758,0.00005880232,0.00004024516,0.000012932796,0.00094125693],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9966306,0.0009783943,0.00030866038,0.00042775949,0.001001569,0.0006529995],"domain_scores_gemma":[0.9975246,0.0013567618,0.00018272545,0.00037377037,0.0002972054,0.00026489163],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0046743723,0.00013229829,0.00019167237,0.00018478982,0.0019822712,0.000730035,0.00037449345,0.0000846624,0.000051461393],"category_scores_gemma":[0.0030731505,0.00012907993,0.000026127653,0.00028012277,0.0003976642,0.003082492,0.0000063156485,0.0005367173,0.0000035201724],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0037052059,0.0017487829,0.83073354,0.0002991156,0.00015193033,0.0009273986,0.08263426,0.000115192226,0.00042616425,0.031022351,0.013846839,0.03438919],"study_design_scores_gemma":[0.0006119013,0.00014219825,0.8150462,0.000060876868,0.000018776711,2.483441e-7,0.008013173,0.00003997605,0.000036526446,0.0006655213,0.17518704,0.0001775847],"about_ca_topic_score_codex":0.99427605,"about_ca_topic_score_gemma":0.9970667,"teacher_disagreement_score":0.16134019,"about_ca_system_score_codex":0.00020085149,"about_ca_system_score_gemma":0.0024331135,"threshold_uncertainty_score":0.999317},"labels":[],"label_agreement":null},{"id":"W2591563745","doi":"10.3141/2650-02","title":"Fickle or Flexible?","year":2017,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Agence Française de Développement","keywords":"Paratransit; Transport engineering; Public transport; Flexibility (engineering); Work (physics); Unit (ring theory); Reliability (semiconductor); Level of service; Service (business); Business; Quality (philosophy); Sample (material); Travel time; Computer science; Engineering; Mathematics; Statistics; Marketing","score_opus":0.2196810089493375,"score_gpt":0.48513162271662025,"score_spread":0.26545061376728274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2591563745","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9803229,0.00016666301,0.0004284527,0.012245421,0.0012486819,0.0010572769,0.00007361267,0.000047968522,0.00440904],"genre_scores_gemma":[0.9855821,0.0010530793,0.0008587829,0.000052012216,0.0006690109,0.00004705789,0.000008609268,0.000044405482,0.011684908],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9898092,0.0014767498,0.001376244,0.0004887848,0.005558944,0.0012900693],"domain_scores_gemma":[0.9917265,0.0010724891,0.0008386415,0.001110629,0.00458808,0.0006636501],"candidate_categories":["sts","research_integrity","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.010202879,0.00024464543,0.00050702906,0.00065113814,0.0060569705,0.0007665903,0.0037620754,0.00029743253,0.0024440351],"category_scores_gemma":[0.0009849846,0.00016710111,0.0005290091,0.0012659242,0.0031970905,0.002040696,0.0000121783405,0.0025013175,0.00005286912],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019406744,0.0003187993,0.958572,0.00014653687,0.000107186715,0.00019444064,0.008691945,0.00004431127,0.00042930758,0.006902235,0.011555625,0.011096958],"study_design_scores_gemma":[0.001100649,0.00024877247,0.86281073,0.00024952812,0.00004087782,7.334018e-8,0.0040554856,0.0000073186716,0.0006129662,0.00666042,0.124033146,0.00018003165],"about_ca_topic_score_codex":0.07802676,"about_ca_topic_score_gemma":0.4924783,"teacher_disagreement_score":0.41445154,"about_ca_system_score_codex":0.00031281405,"about_ca_system_score_gemma":0.0022997474,"threshold_uncertainty_score":0.99979997},"labels":[],"label_agreement":null},{"id":"W2591886005","doi":"10.1080/21650020.2017.1295817","title":"Assessing the accessibility of activity centres and their prioritisation: a case study for Perth Metropolitan Area","year":2017,"lang":"en","type":"article","venue":"Urban Planning and Transport Research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Curtin University of Technology; British Medical Association","keywords":"Metropolitan area; Public transport; Geography; Decentralization; Transport engineering; Regional science; Government (linguistics); Environmental planning; Consolidation (business); Geographic information system; Business; Cartography; Engineering; Political science","score_opus":0.22242086107240963,"score_gpt":0.48599917360226086,"score_spread":0.2635783125298512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2591886005","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957056,0.0006639863,0.00021776256,0.00046216958,0.000063761814,0.0009804253,0.000047779067,0.000025232057,0.0018332738],"genre_scores_gemma":[0.99959534,0.00001831965,0.00005028198,0.0000038317116,0.00012667892,0.000039043585,0.0000047378994,0.000009488028,0.000152288],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980807,0.0003156883,0.0002498067,0.00046022917,0.00044396098,0.00044965692],"domain_scores_gemma":[0.99812764,0.0008221171,0.00013946595,0.00048601304,0.00026464975,0.0001601398],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0047358572,0.00013790518,0.00028700804,0.00008402469,0.0048424294,0.0005410307,0.00039786322,0.00008825842,0.000016551967],"category_scores_gemma":[0.00027008852,0.000091215974,0.00006848334,0.00013801179,0.0016350626,0.0008779415,0.000036533445,0.00033725667,6.521129e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000067778376,0.00019351879,0.9640588,0.000078783836,0.000038337646,0.000092576905,0.030853882,2.1193952e-7,0.000037668047,0.0001494014,0.000018661938,0.0044103875],"study_design_scores_gemma":[0.0004720345,0.00009917536,0.91437274,0.00004929349,0.000029672594,0.000004029527,0.08382,0.000070740745,0.00011947143,0.0005957709,0.0002686939,0.00009837776],"about_ca_topic_score_codex":0.026919179,"about_ca_topic_score_gemma":0.0104836235,"teacher_disagreement_score":0.052966118,"about_ca_system_score_codex":0.00006198441,"about_ca_system_score_gemma":0.00024599736,"threshold_uncertainty_score":0.9964531},"labels":[],"label_agreement":null},{"id":"W2592632298","doi":"10.1049/pbtr006e_ch7","title":"The 'disruption' we really need: public transport for the urban millennium","year":2017,"lang":"en","type":"book-chapter","venue":"Institution of Engineering and Technology eBooks","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Public transport; Environmental planning; Geography; Business; Regional science; Political science; Law","score_opus":0.024494148626868377,"score_gpt":0.254591861165319,"score_spread":0.23009771253845063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2592632298","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005702219,0.030036815,0.012683425,0.025656924,0.004195975,0.003697936,0.00026662913,0.001395022,0.916365],"genre_scores_gemma":[0.8900592,0.002355011,0.00012319614,0.000009967467,0.00026579385,0.00008845754,0.0000098780765,0.000022962,0.10706558],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99902314,0.000003781795,0.0003026425,0.00023929222,0.00017364704,0.00025747842],"domain_scores_gemma":[0.99899095,0.00010744733,0.00020424386,0.00047624702,0.00016995007,0.00005113922],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00046795834,0.00019359033,0.0002439725,0.00015649044,0.0014136705,0.00005113451,0.0006051877,0.0005911257,0.00000519488],"category_scores_gemma":[0.00008648717,0.00013084369,0.00012409528,0.000020785586,0.0020525677,0.00007390065,0.000023976714,0.0003803205,9.803051e-7],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010148176,0.000004327188,0.00036142088,0.000049497896,0.00007982018,0.0000020310292,0.00023350539,0.000004588133,0.000023925108,0.97587866,0.00018068119,0.023171416],"study_design_scores_gemma":[0.00017285356,0.00002937251,0.00023249416,0.00011335978,0.00008197373,0.0000011813949,0.00007748453,0.000034468612,0.000038439353,0.011405223,0.98765624,0.00015693343],"about_ca_topic_score_codex":0.000113511145,"about_ca_topic_score_gemma":0.0013364025,"teacher_disagreement_score":0.9874755,"about_ca_system_score_codex":0.000042152704,"about_ca_system_score_gemma":0.00024677752,"threshold_uncertainty_score":0.99988633},"labels":[],"label_agreement":null},{"id":"W2592789243","doi":"10.31235/osf.io/nvg64","title":"Dwelling Type Matters: Untangling the Paradox of Intensification and Bicycle Mode Choice","year":2019,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Apartment; Multinomial logistic regression; Mode choice; Geography; Demography; Confounding; Logistic regression; TRIPS architecture; Mode (computer interface); Population; Demographic economics; Transport engineering; Public transport; Economics; Statistics; Engineering; Sociology; Mathematics; Computer science","score_opus":0.027512317500716265,"score_gpt":0.3143716867096768,"score_spread":0.28685936920896055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2592789243","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9922492,0.00008850676,0.00022646291,0.0021294043,0.00010661444,0.0001200481,6.7803893e-7,0.000019949686,0.0050591375],"genre_scores_gemma":[0.9989151,0.000017448116,0.00014903647,0.00028153002,0.000039893654,7.550977e-7,0.0000013802859,0.0000027092321,0.0005921829],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995778,0.000025470454,0.00010509308,0.00010215533,0.00010406125,0.000085372594],"domain_scores_gemma":[0.9996566,0.00010071134,0.000044164597,0.000115809475,0.00006207889,0.000020618607],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002565111,0.00003394332,0.000062935935,0.000013912129,0.00008961419,0.000024682793,0.00010781157,0.00002807854,0.00015086387],"category_scores_gemma":[0.000022902192,0.0000224791,0.000016413838,0.00013128265,0.000100555866,0.00014277815,0.0000072639887,0.00004450724,0.000016399359],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009672627,0.00001493814,0.98824716,0.000015725154,0.000006247855,7.3126266e-8,0.005413538,0.00004382702,0.00196809,0.0029913974,0.00008636829,0.001202975],"study_design_scores_gemma":[0.00025437283,0.00002943945,0.9589683,0.000053065327,0.000036197645,1.18988126e-7,0.016483134,0.0057202554,0.0031479378,0.0065286313,0.008579815,0.00019876657],"about_ca_topic_score_codex":0.005027308,"about_ca_topic_score_gemma":0.0015229892,"teacher_disagreement_score":0.029278882,"about_ca_system_score_codex":0.000008888764,"about_ca_system_score_gemma":0.000019196385,"threshold_uncertainty_score":0.75998193},"labels":[],"label_agreement":null},{"id":"W2592857140","doi":"10.3141/2661-12","title":"The Missing Middle: Filling the Gap Between Walkability and Observed Walking Behavior","year":2017,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Walkability; Pedestrian; Socioeconomic status; Built environment; Geography; Descriptive statistics; Transport engineering; Environmental health; Statistics; Population; Medicine; Engineering; Mathematics","score_opus":0.33275613940459864,"score_gpt":0.4556448256671214,"score_spread":0.12288868626252275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2592857140","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9755732,0.00062462286,0.00017592672,0.021259727,0.00059367303,0.0013404776,0.00005385073,0.000024676652,0.0003538557],"genre_scores_gemma":[0.99694943,0.0012221372,0.00036691676,0.000027783477,0.0005354815,0.00006974674,0.0000073293413,0.000034943965,0.00078625523],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9900318,0.0025917853,0.0014308484,0.0004840303,0.0042657293,0.0011958126],"domain_scores_gemma":[0.9906323,0.003932682,0.00087639043,0.0011007504,0.0029759512,0.00048191613],"candidate_categories":["sts","scholarly_communication","research_integrity"],"consensus_categories":["sts"],"category_scores_codex":[0.021120256,0.0002481523,0.00043130995,0.00021414601,0.01510851,0.0014819307,0.0032138552,0.00023711588,0.00013622471],"category_scores_gemma":[0.001317794,0.00013976065,0.00042959268,0.0007861825,0.0049289875,0.0013339019,0.000020194091,0.0028390295,0.000004800477],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028658836,0.00007719959,0.95404786,0.000079691774,0.000070999275,0.00002927414,0.008634821,0.000008286159,0.000368107,0.0013365602,0.00033491076,0.034725692],"study_design_scores_gemma":[0.0006170694,0.000104793035,0.9690716,0.00024767785,0.00010133092,7.720434e-8,0.0064509497,0.000015438653,0.0003513844,0.0102597615,0.012622169,0.00015771095],"about_ca_topic_score_codex":0.04560249,"about_ca_topic_score_gemma":0.25185516,"teacher_disagreement_score":0.20625268,"about_ca_system_score_codex":0.00023760411,"about_ca_system_score_gemma":0.00095258147,"threshold_uncertainty_score":0.99955463},"labels":[],"label_agreement":null},{"id":"W2593641299","doi":"10.1016/j.jocm.2017.03.003","title":"An integrated model of intensity of activity opportunities on supply side and tour destination &amp; departure time choices on demand side","year":2017,"lang":"en","type":"article","venue":"Journal of Choice Modelling","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Demand side; Supply side; Economics; Business; Computer science; Microeconomics","score_opus":0.11651466014018999,"score_gpt":0.33860507124015327,"score_spread":0.22209041109996328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2593641299","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9809958,0.000051521834,0.017145615,0.00037028425,0.00007203123,0.00010372904,0.000021036905,0.0000102735485,0.0012297418],"genre_scores_gemma":[0.9974984,0.000109289445,0.0019646448,0.000038051927,0.00014805188,6.475277e-7,0.0000035658836,0.00000999058,0.00022737386],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99857706,0.00011865677,0.000447122,0.00017091057,0.00050691376,0.00017935592],"domain_scores_gemma":[0.9974159,0.00026369822,0.0011817701,0.00025377973,0.000723911,0.00016094476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013094912,0.00014737067,0.0004288145,0.00013703038,0.00041596006,0.0001104309,0.00037460562,0.0001377097,0.0000126637215],"category_scores_gemma":[0.00035344576,0.000120258344,0.00010698915,0.000052514602,0.00031190028,0.0012874511,0.000015819765,0.00034522946,3.3907827e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002533534,0.0013175203,0.21543613,0.00024395961,0.00019632457,0.000023139479,0.011958106,0.7075791,0.041607242,0.00067641825,0.00014801635,0.018280566],"study_design_scores_gemma":[0.0015390875,0.0007466623,0.15738314,0.0013309487,0.00033144312,0.0000040934856,0.0011130997,0.7967521,0.029005036,0.010821895,0.00042480594,0.00054769963],"about_ca_topic_score_codex":0.001750684,"about_ca_topic_score_gemma":0.00279748,"teacher_disagreement_score":0.089173034,"about_ca_system_score_codex":0.00005628529,"about_ca_system_score_gemma":0.00023447613,"threshold_uncertainty_score":0.4903993},"labels":[],"label_agreement":null},{"id":"W2593976934","doi":"","title":"Assessing the Spatial Transferability of the Pedestrian Index of the Environment (PIE)","year":2017,"lang":"en","type":"article","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transferability; Pedestrian; Index (typography); Geography; Computer science; Statistics; Mathematics; Logit; World Wide Web","score_opus":0.021253719069117206,"score_gpt":0.2801329692676648,"score_spread":0.2588792501985476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2593976934","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9640155,0.0001598379,0.01997781,0.012546557,0.00023060676,0.0010352961,0.000035187528,0.000043141652,0.0019560824],"genre_scores_gemma":[0.9990802,0.000035984853,0.00028383418,0.00017476644,0.000110572735,0.00006588447,0.0000010376802,0.000015708525,0.00023200698],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975276,0.00049477944,0.0005213325,0.000297969,0.0007467665,0.0004115239],"domain_scores_gemma":[0.9971689,0.00016992005,0.0005511988,0.0019465226,0.00006646617,0.00009699298],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0021554637,0.00018632741,0.00029457454,0.00003309713,0.0021923853,0.00024557763,0.0023959554,0.00021589253,0.00008886533],"category_scores_gemma":[0.0003960477,0.00010139469,0.00037588345,0.00016483631,0.0019991763,0.00045582477,0.00019544402,0.0004492354,6.6294336e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016935977,0.00015448238,0.9852456,0.000020582127,0.000018677265,5.19927e-7,0.0016581184,0.00008447379,0.0015843465,0.0018217537,0.000023999077,0.00937052],"study_design_scores_gemma":[0.00022030635,0.000015646927,0.9833758,0.00003771615,0.00004927852,3.2235562e-7,0.0004901152,0.00065435417,0.010040776,0.004256285,0.00074380764,0.000115620845],"about_ca_topic_score_codex":0.16855343,"about_ca_topic_score_gemma":0.10602451,"teacher_disagreement_score":0.062528916,"about_ca_system_score_codex":0.0002135199,"about_ca_system_score_gemma":0.0005302158,"threshold_uncertainty_score":0.99910665},"labels":[],"label_agreement":null},{"id":"W2595619534","doi":"10.15173/esr.v9i2.418","title":"Urban Form and Vehicular Travel: Some Empirical Findings","year":2001,"lang":"en","type":"article","venue":"Energy Studies Review","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Work (physics); Vehicle miles of travel; Geography; Transport engineering; Engineering","score_opus":0.07022680605872132,"score_gpt":0.37079832759073705,"score_spread":0.3005715215320157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2595619534","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12839647,0.8497334,0.000022666192,0.009836521,0.00019595581,0.00017718537,0.0000021084732,0.00006551488,0.011570169],"genre_scores_gemma":[0.37947044,0.6137539,0.00003825227,0.0034142633,0.00026618878,0.000033021293,0.0000031500879,0.000008060529,0.0030127242],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988158,0.00008075509,0.00027327338,0.00027445753,0.00025782676,0.00029791275],"domain_scores_gemma":[0.99955225,0.00007811774,0.000054346943,0.00014329937,0.00006492859,0.000107083986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005411536,0.00013424265,0.0004260629,0.000023914003,0.000472989,0.00002218698,0.00015628482,0.000054568885,0.0001233093],"category_scores_gemma":[0.00013730067,0.00010112086,0.000113475144,0.00029036816,0.00034026432,0.00024190675,0.000038098384,0.00007824306,0.000007683984],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019429313,0.00023001105,0.67575616,0.0020057627,0.00043720062,0.00013443377,0.01423069,2.4380554e-7,0.000012863572,0.03857265,0.14892104,0.11967953],"study_design_scores_gemma":[0.00010974816,0.000019765886,0.04983487,0.00034603733,0.0000952274,7.445534e-7,0.00048857334,8.526227e-7,0.0000067323476,0.001868415,0.94706726,0.00016177238],"about_ca_topic_score_codex":0.0003085642,"about_ca_topic_score_gemma":0.0011028381,"teacher_disagreement_score":0.79814625,"about_ca_system_score_codex":0.000056162444,"about_ca_system_score_gemma":0.000037854294,"threshold_uncertainty_score":0.4123589},"labels":[],"label_agreement":null},{"id":"W2596247651","doi":"10.14796/jwmm.r207-03","title":"Reducing Urban Litter in South Africa through Catchment Based Litter Management Plans","year":2001,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Water Research Commission","keywords":"Litter; Environmental science; Water resource management; Drainage basin; Geography; Environmental planning; Hydrology (agriculture); Ecology; Biology; Engineering; Cartography","score_opus":0.042418038731835,"score_gpt":0.2780689581549181,"score_spread":0.2356509194230831,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2596247651","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88239765,0.00019704744,0.06968951,0.003178966,0.00048594153,0.0005016107,0.0000023759194,0.000043605953,0.04350331],"genre_scores_gemma":[0.99079156,0.00008064481,0.0056295195,0.0004784643,0.00036238803,0.000012027875,0.000004852604,0.000019680036,0.002620874],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.99719125,0.00012536671,0.0008914792,0.0003342507,0.0007977238,0.0006599473],"domain_scores_gemma":[0.9993334,0.0000136658155,0.00018542098,0.00026941267,0.0000830177,0.00011512542],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016509808,0.0002076711,0.00030625198,0.00032895614,0.0002463365,0.00018257917,0.00053907355,0.00007291309,0.0002107811],"category_scores_gemma":[0.0000026429673,0.00015594253,0.00019257618,0.0002812273,0.000054474345,0.0006945844,0.0000755447,0.00026920706,0.000019818717],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001032818,0.0017668469,0.28984323,0.00073233846,0.0007795187,0.0034496265,0.38629594,0.30398124,0.00013485028,0.0015766518,0.003025182,0.007381745],"study_design_scores_gemma":[0.024540925,0.0008076814,0.03742703,0.0065812874,0.002982252,0.000013140204,0.17105381,0.1623166,0.0016986959,0.06250492,0.5244082,0.0056654285],"about_ca_topic_score_codex":0.00018639861,"about_ca_topic_score_gemma":0.00007624231,"teacher_disagreement_score":0.52138305,"about_ca_system_score_codex":0.00027688284,"about_ca_system_score_gemma":0.000022662874,"threshold_uncertainty_score":0.63591516},"labels":[],"label_agreement":null},{"id":"W2596948179","doi":"10.3141/2662-17","title":"Existence and Use of Low-Pollution Route Options for Observed Bicycling Trips","year":2017,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"TRIPS architecture; Pollution; Air pollution; Environmental science; Shortest path problem; Transport engineering; Environmental health; Geography; Engineering; Mathematics; Medicine; Chemistry","score_opus":0.36251776326855856,"score_gpt":0.4670528248836105,"score_spread":0.10453506161505194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2596948179","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9908601,0.00021931,0.0016835801,0.0050489875,0.00048180748,0.0013840006,0.0002107659,0.000017628305,0.000093828916],"genre_scores_gemma":[0.9916323,0.001560569,0.005449724,0.00001962212,0.00022121976,0.00006158679,0.000015729218,0.000028161188,0.0010111167],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9939877,0.0009133766,0.0013529556,0.00039929064,0.0025764864,0.0007702411],"domain_scores_gemma":[0.99240744,0.0012998716,0.0009626268,0.0006246517,0.0043144724,0.0003909277],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.007573673,0.00018561484,0.00047095914,0.0005184308,0.0032537368,0.0004340002,0.0013430415,0.00022738393,0.000078938676],"category_scores_gemma":[0.0012935239,0.00014926538,0.0004343021,0.0007292751,0.0024414526,0.002240457,0.000008346011,0.001082875,0.0000015573806],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016217466,0.0002628871,0.9666597,0.0003987869,0.000108043736,0.00001700938,0.0058957147,0.00015165043,0.0025153712,0.015562173,0.00047105044,0.006335815],"study_design_scores_gemma":[0.0013230288,0.00023669776,0.97772187,0.00046146224,0.000064009466,4.5544205e-8,0.0022429086,0.00009097728,0.0009660731,0.009381257,0.0073647327,0.00014694232],"about_ca_topic_score_codex":0.041732512,"about_ca_topic_score_gemma":0.2160727,"teacher_disagreement_score":0.17434017,"about_ca_system_score_codex":0.00017272904,"about_ca_system_score_gemma":0.0009557729,"threshold_uncertainty_score":0.9980439},"labels":[],"label_agreement":null},{"id":"W2598122296","doi":"10.1088/1748-9326/aa59ba","title":"More connected urban roads reduce US GHG emissions","year":2017,"lang":"en","type":"article","venue":"Environmental Research Letters","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Urban sprawl; Greenhouse gas; Environmental science; Land use; Environmental planning; Business; Environmental resource management; Natural resource economics; Transport engineering; Civil engineering; Economics; Engineering","score_opus":0.06528225751119661,"score_gpt":0.3937545096166191,"score_spread":0.3284722521054225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2598122296","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9693514,0.000110985035,0.000008281293,0.020670569,0.00017097854,0.00035063457,0.000027535307,0.000043018048,0.009266584],"genre_scores_gemma":[0.993249,0.000060165705,0.00007445783,0.00040340354,0.00040030238,0.000031250383,0.000025862386,0.00001767201,0.0057378593],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970699,0.00028695655,0.0001812082,0.00046078564,0.0012269777,0.0007742053],"domain_scores_gemma":[0.9985866,0.00013557248,0.00007643435,0.00077841803,0.000010485526,0.0004124655],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.0012502397,0.00012722013,0.00014350326,0.00007314221,0.003983387,0.0003044645,0.0011528915,0.00010427244,0.0022523196],"category_scores_gemma":[0.00037002715,0.00012038051,0.0000949711,0.00008552026,0.0030927688,0.0005452604,0.00018645808,0.0005201198,0.0002402601],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003407782,0.00014493076,0.91763854,0.000004962326,0.000017116015,0.00006803818,0.0037382462,0.0000012773912,0.05800203,0.00007224,0.018024746,0.0022538034],"study_design_scores_gemma":[0.00029023012,0.000020419388,0.9334819,0.000018774832,0.000005829655,2.2463342e-7,0.0015023262,0.000008795116,0.0035500482,0.00011885719,0.060842097,0.0001605286],"about_ca_topic_score_codex":0.0029534993,"about_ca_topic_score_gemma":0.00030865028,"teacher_disagreement_score":0.05445198,"about_ca_system_score_codex":0.00034824904,"about_ca_system_score_gemma":0.00007729246,"threshold_uncertainty_score":0.99962026},"labels":[],"label_agreement":null},{"id":"W2600080411","doi":"10.3141/2644-08","title":"Quality Measure of Short-Duration Bicycle Counts","year":2017,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Statistics; Extrapolation; Metric (unit); Term (time); Measure (data warehouse); Cycling; Mathematics; Environmental science; Computer science; Operations management; Geography; Engineering; Data mining; Physics","score_opus":0.24261342665322216,"score_gpt":0.49205133861205846,"score_spread":0.2494379119588363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2600080411","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.988546,0.00014687025,0.00044772105,0.0028724305,0.0007991858,0.0005867858,0.000063136315,0.000016364786,0.0065215],"genre_scores_gemma":[0.9972723,0.0003565572,0.00043354745,0.000012594625,0.00025811663,0.000015160746,0.00000825813,0.000020330846,0.0016231145],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99262387,0.0011443737,0.0012171636,0.00026985712,0.004195165,0.0005496039],"domain_scores_gemma":[0.9938588,0.000474349,0.00063808577,0.0006367486,0.0041251,0.0002669154],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.009771522,0.00013635382,0.00036036858,0.0003484901,0.0017496023,0.00018894683,0.0015837108,0.00019762163,0.00070958474],"category_scores_gemma":[0.0006149076,0.00010605909,0.00034671297,0.00065159606,0.0016796914,0.0009815905,0.0000049407263,0.0011672036,0.000017261782],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043544648,0.00016136092,0.97708225,0.0001090358,0.000061418395,0.000014892708,0.003112186,0.000011854708,0.0016167492,0.005076739,0.0025288346,0.009789208],"study_design_scores_gemma":[0.00043231656,0.00009103815,0.97469753,0.00015191357,0.000025000778,2.0012678e-8,0.0015059365,0.000007431211,0.0009469054,0.0047499523,0.017286122,0.00010581608],"about_ca_topic_score_codex":0.0285546,"about_ca_topic_score_gemma":0.17388032,"teacher_disagreement_score":0.14532574,"about_ca_system_score_codex":0.00015887237,"about_ca_system_score_gemma":0.0010305237,"threshold_uncertainty_score":0.99955},"labels":[],"label_agreement":null},{"id":"W2600974565","doi":"","title":"Socioeconomic Discrepancies in Children’s Accessibility to Health Promoting Resources: An Activity Space Analysis","year":2015,"lang":"en","type":"dissertation","venue":"TSpace (University of Toronto)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Socioeconomic status; Overweight; Environmental health; Geography; Healthy food; Physical activity; Business; Socioeconomics; Psychology; Gerontology; Demographic economics; Medicine; Obesity; Sociology; Economics; Population","score_opus":0.019016471175751126,"score_gpt":0.3230534134696065,"score_spread":0.30403694229385536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2600974565","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9850298,0.000464072,0.00002193819,0.0011708126,0.00010482773,0.0007842048,0.000085100604,0.0000894259,0.012249827],"genre_scores_gemma":[0.9955792,0.00011699077,0.00031413903,0.00001210385,0.00007300082,0.0000013631554,0.00026270692,0.000016051323,0.003624458],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973591,0.0005053733,0.0002519874,0.0008680707,0.0004992537,0.00051621615],"domain_scores_gemma":[0.99802023,0.000042443076,0.0007085592,0.00057892717,0.00018294025,0.00046688018],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0019394049,0.00027336337,0.0009382808,0.00019567375,0.0005910294,0.000069023394,0.00091700285,0.0003368109,0.0032771016],"category_scores_gemma":[0.00005820349,0.00035090567,0.00031481055,0.0003789028,0.0002003971,0.0015322211,0.00006373678,0.00028253387,0.000006956359],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023101176,0.00025670746,0.6240379,0.000083334446,0.00019629282,0.0000012417705,0.36183834,0.0000141835135,0.000021085663,0.000041596923,0.00005647034,0.01322183],"study_design_scores_gemma":[0.00023591137,0.00007463031,0.87317556,0.000040943363,0.0001948415,1.6298864e-8,0.12573314,0.000037595673,0.0000062662994,0.000053571628,0.00016943208,0.00027811565],"about_ca_topic_score_codex":0.93775564,"about_ca_topic_score_gemma":0.99377066,"teacher_disagreement_score":0.24913764,"about_ca_system_score_codex":0.0024312434,"about_ca_system_score_gemma":0.0010777444,"threshold_uncertainty_score":0.9998943},"labels":[],"label_agreement":null},{"id":"W2601072824","doi":"","title":"Exploring Changes in Children’s Trips to School over Time in the Montreal Region","year":2017,"lang":"en","type":"article","venue":"Transportation Research Board 96th Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"TRIPS architecture; Geography; Transport engineering; Engineering","score_opus":0.15464192974317056,"score_gpt":0.4128631077613501,"score_spread":0.25822117801817956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2601072824","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9780681,0.00009539031,0.000020448446,0.012209094,0.00013807799,0.0038030765,0.00016484839,0.00011896931,0.0053819716],"genre_scores_gemma":[0.9952505,0.00060700654,0.00015121273,0.00017834397,0.0005462802,0.0015985834,0.00017003884,0.000055971916,0.0014420177],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98746306,0.002331752,0.0011147835,0.0013916483,0.0052365013,0.0024622395],"domain_scores_gemma":[0.99522805,0.000985622,0.00024668738,0.0012684588,0.001415752,0.000855422],"candidate_categories":["metaepi_narrow","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.016088534,0.00040640702,0.00058476755,0.0018589015,0.0031963638,0.00081927853,0.002681624,0.0003364609,0.00046639025],"category_scores_gemma":[0.0016860748,0.00036870205,0.00019791548,0.002627394,0.0013305952,0.0026283506,0.000023499622,0.0023610445,0.00017456996],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008266103,0.0003375599,0.9449156,0.0000631208,0.000022609585,0.00021917194,0.046379518,0.00011598343,0.00014954037,0.0011198466,0.001862503,0.0039879493],"study_design_scores_gemma":[0.0015299327,0.00023587969,0.97771907,0.000270298,0.00001393989,1.0340572e-7,0.013671347,0.00001643585,0.00014151726,0.00078260474,0.0052320324,0.00038686284],"about_ca_topic_score_codex":0.31777048,"about_ca_topic_score_gemma":0.76668435,"teacher_disagreement_score":0.44891384,"about_ca_system_score_codex":0.00048794778,"about_ca_system_score_gemma":0.0008283182,"threshold_uncertainty_score":0.9999406},"labels":[],"label_agreement":null},{"id":"W2601674757","doi":"10.1016/j.jth.2017.03.010","title":"Children's activity-transportation lifestyles, physical activity levels and social-ecological correlates in Toronto, Canada","year":2017,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto; University of British Columbia; Toronto Metropolitan University","funders":"Canadian Institutes of Health Research; Public Health Agency of Canada; Heart and Stroke Foundation of Canada","keywords":"Psychological intervention; Physical activity; Neighbourhood (mathematics); Level design; Athletes; Diversity (politics); Psychology; Geography; Gerontology; Sociology; Medicine","score_opus":0.028282738372723302,"score_gpt":0.3430332459004943,"score_spread":0.31475050752777095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2601674757","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99231106,0.00016964141,0.00006336567,0.0065163947,0.00033815522,0.0002574055,0.00009340107,0.000012296237,0.00023829767],"genre_scores_gemma":[0.9990924,0.00017295853,0.000054700882,0.00013508233,0.00047949192,0.0000025243148,0.0000062188738,0.00001101444,0.000045582194],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980714,0.00016084396,0.00043988178,0.00025152898,0.00060983445,0.00046655937],"domain_scores_gemma":[0.9984638,0.00009319902,0.00089955545,0.00014875826,0.0001015601,0.00029310322],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001164246,0.00018017596,0.00063531793,0.000035396315,0.0011529573,0.000054628887,0.00037025195,0.00014890953,0.00005685596],"category_scores_gemma":[0.000030001434,0.00016077832,0.00014206154,0.000062241554,0.00032063422,0.0011434718,0.0000041325425,0.0005591284,2.1724516e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001250645,0.00044123307,0.9832914,0.00004258676,0.00002686193,0.00004766608,0.004255205,0.000003918922,0.000033901295,0.00026746918,0.00006916326,0.011395519],"study_design_scores_gemma":[0.0006864102,0.00010403496,0.9979439,0.00004401948,0.000032347736,0.0000016408808,0.00044817533,0.0000056965973,0.000022494121,0.00015998786,0.00039800204,0.00015329578],"about_ca_topic_score_codex":0.83911186,"about_ca_topic_score_gemma":0.98962224,"teacher_disagreement_score":0.15051037,"about_ca_system_score_codex":0.0008305951,"about_ca_system_score_gemma":0.0028358034,"threshold_uncertainty_score":0.8867732},"labels":[],"label_agreement":null},{"id":"W2602241837","doi":"10.1016/j.trf.2017.03.002","title":"Integrated strategies to accelerate the adoption of cycling for transportation","year":2017,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":60,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; Research Centre for the Humanities; University of Toronto","keywords":"Cycling; Promotion (chess); Behaviour change; Engineering; Population; Transport engineering; Process management; Psychology; Psychological intervention; Political science","score_opus":0.20056851101961734,"score_gpt":0.4926151618948403,"score_spread":0.29204665087522297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2602241837","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9928729,0.000079737554,0.0013663685,0.003770731,0.0002791681,0.0010506645,0.00021726663,0.00004677831,0.00031637138],"genre_scores_gemma":[0.99863595,0.00020159209,0.00036651714,0.00005802893,0.000096857395,0.00020748454,0.00022920362,0.000012094312,0.00019228004],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981929,0.0001716101,0.00044483616,0.00039308844,0.0003812755,0.00041626874],"domain_scores_gemma":[0.9987202,0.00016315294,0.00016438153,0.00033242963,0.0004785904,0.0001412049],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0022295893,0.00012694736,0.00021210762,0.000120246004,0.0018849351,0.00016287135,0.0004955563,0.00019290052,0.00009011759],"category_scores_gemma":[0.000053659816,0.00010082344,0.000090957226,0.00021596435,0.0010176357,0.0005016946,0.0000015811279,0.00031592685,0.0000039872125],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019240982,0.00088225235,0.84972394,0.00019148258,0.00010500463,0.00001906542,0.056585275,0.0004910246,0.0039415527,0.021006435,0.0035541244,0.061575744],"study_design_scores_gemma":[0.0006166235,0.00016115309,0.9852484,0.0000481775,0.00004784758,5.349387e-8,0.00586949,0.000014950136,0.00018410242,0.0008620515,0.006828708,0.00011848031],"about_ca_topic_score_codex":0.0012963018,"about_ca_topic_score_gemma":0.056382254,"teacher_disagreement_score":0.13552442,"about_ca_system_score_codex":0.000014565551,"about_ca_system_score_gemma":0.00017801236,"threshold_uncertainty_score":0.9994145},"labels":[],"label_agreement":null},{"id":"W2602300475","doi":"10.5555/arwg.17.1.f62237k28j00662t","title":"Analyzing the Travel Behaviour and Travel Preferences of Employees and Students Commuting via the Dubai Metro","year":2014,"lang":"en","type":"article","venue":"Arab world geographer","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Nationality; Sample (material); Business; Work (physics); Logit; Private sector; Marketing; Transport engineering; Advertising; Geography; Engineering; Economic growth; Immigration; Economics","score_opus":0.02160918947610065,"score_gpt":0.29776192595283185,"score_spread":0.2761527364767312,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2602300475","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99571407,0.0009260206,0.00016928648,0.00049232604,0.000066632,0.00023239742,0.000004047612,0.000017111228,0.0023781126],"genre_scores_gemma":[0.99951446,0.00008042748,0.000069168564,0.000062816085,0.000053829204,0.000011336896,0.0000018595946,0.0000068402505,0.00019923749],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986026,0.00030221394,0.00026768952,0.00022997746,0.0003364479,0.00026104512],"domain_scores_gemma":[0.99912655,0.00037019586,0.00014219304,0.00023702042,0.00005662026,0.00006741718],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017292345,0.00012631956,0.00021031994,0.00007442083,0.0008542753,0.00014569564,0.0004912014,0.000041289026,0.00006514218],"category_scores_gemma":[0.000032959735,0.00007129069,0.000083326544,0.0005393582,0.00092629,0.00015208457,0.000057133147,0.00018713417,6.8514044e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000065419863,0.000053282394,0.9876678,0.0000064677433,0.000040015893,1.6669384e-7,0.0051590153,3.2145476e-7,0.000025269397,0.00046390496,0.000019013214,0.0065581794],"study_design_scores_gemma":[0.00018046609,0.000025417943,0.99236923,0.000024529872,0.00011022732,6.892925e-8,0.0043736873,0.000009983521,0.00007563026,0.0026455661,0.00008862355,0.00009659238],"about_ca_topic_score_codex":0.007812622,"about_ca_topic_score_gemma":0.060206648,"teacher_disagreement_score":0.052394025,"about_ca_system_score_codex":0.000004473609,"about_ca_system_score_gemma":0.000012816332,"threshold_uncertainty_score":0.99879444},"labels":[],"label_agreement":null},{"id":"W2603738431","doi":"","title":"The impact of street accessibility on travel and independence for disabled people","year":2015,"lang":"en","type":"article","venue":"White Rose Research Online (University of Leeds, The University of Sheffield, University of York)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Independence (probability theory); Disabled people; Advertising; Business; Internet privacy; Psychology; Computer science; Applied psychology","score_opus":0.08131882498737109,"score_gpt":0.34523219096536356,"score_spread":0.2639133659779925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2603738431","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9903509,0.000098068835,0.0011445817,0.0022976175,0.000039226972,0.0007192765,0.0004440876,0.00001955091,0.0048866654],"genre_scores_gemma":[0.9967787,0.00055632007,0.0005077579,0.0000026003759,0.00002308253,1.6851873e-8,0.000026988715,0.000006589923,0.0020978986],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972477,0.00061060593,0.00019042692,0.00042091848,0.001041078,0.0004892584],"domain_scores_gemma":[0.9961672,0.0012197047,0.00038582954,0.0006182558,0.0012932535,0.00031578267],"candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0031217549,0.00017509323,0.00051944726,0.00025243292,0.0016086893,0.000018348625,0.002092131,0.00028940447,0.00021009185],"category_scores_gemma":[0.00025399716,0.00016409815,0.0003732005,0.0009485242,0.0042324993,0.00052971486,0.0004373109,0.00056334975,0.0000014980362],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.011980401,0.0025712226,0.7935956,0.00047426615,0.00077154237,0.00003037008,0.16336486,0.0009451882,0.00074144837,0.0071351198,0.0057116644,0.012678285],"study_design_scores_gemma":[0.0032623163,0.0010637704,0.54038835,0.00014152148,0.00016047327,3.7170727e-7,0.4498927,0.0013850088,0.00007499405,0.0017479188,0.0016284112,0.00025414507],"about_ca_topic_score_codex":0.0901206,"about_ca_topic_score_gemma":0.14704177,"teacher_disagreement_score":0.28652784,"about_ca_system_score_codex":0.000252182,"about_ca_system_score_gemma":0.0011329465,"threshold_uncertainty_score":0.99969107},"labels":[],"label_agreement":null},{"id":"W2604212042","doi":"10.1016/j.apgeog.2017.03.018","title":"How do changes in the daily food and transportation environments affect grocery store accessibility?","year":2017,"lang":"en","type":"article","venue":"Applied Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":107,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Public Health; The Scarborough Hospital; Impact; University of Waterloo; University of Toronto","funders":"","keywords":"Schedule; Extant taxon; Morning; Healthy food; Public transport; Business; Geography; Grocery store; Marketing; Grocery shopping; Environmental health; Advertising; Transport engineering; Medicine; Engineering; Economics; Food science","score_opus":0.018294162216101067,"score_gpt":0.26349259174717066,"score_spread":0.2451984295310696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2604212042","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940727,0.00030442385,0.000033988235,0.0015711078,0.00007682191,0.0006068429,0.000024981862,0.000024509163,0.0032846257],"genre_scores_gemma":[0.99938536,0.0001701381,0.000038257574,0.00013079685,0.00010813708,0.000113955,0.000022279566,0.0000079586025,0.000023090775],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99873096,0.00005792734,0.00012088817,0.0004155203,0.00037585414,0.00029887832],"domain_scores_gemma":[0.9992336,0.00006776632,0.00014961953,0.00047149305,0.000008081642,0.00006943026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007889064,0.00014527074,0.00016658063,0.00008199636,0.0010112424,0.00048729757,0.0006182468,0.00011751059,0.000019843807],"category_scores_gemma":[0.000013105157,0.00010992859,0.00006853556,0.00015454434,0.00068528246,0.0004598395,0.000012875137,0.0001626022,0.0000010886305],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023986962,0.000074243704,0.98068935,0.000023335639,0.000014623,0.0000019721185,0.0067313006,1.4747991e-7,0.0001285848,0.0014141999,0.0000198221,0.010878438],"study_design_scores_gemma":[0.0003670101,0.000032357708,0.9868296,0.000008551379,0.000028911301,2.4701507e-8,0.0032939713,3.123802e-7,0.00014461864,0.0059805247,0.0031781024,0.00013605927],"about_ca_topic_score_codex":0.0005409326,"about_ca_topic_score_gemma":0.026559154,"teacher_disagreement_score":0.02601822,"about_ca_system_score_codex":0.000012411739,"about_ca_system_score_gemma":0.000014894751,"threshold_uncertainty_score":0.9912036},"labels":[],"label_agreement":null},{"id":"W2604434900","doi":"10.1186/s12877-017-0469-5","title":"Neighborhood walkability, physical activity, and walking for transportation: A cross-sectional study of older adults living on low income","year":2017,"lang":"en","type":"article","venue":"BMC Geriatrics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":139,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia; Simon Fraser University; British Columbia Centre of Excellence for Women's Health","funders":"Institute of Aging; Canadian Institutes of Health Research","keywords":"Walkability; Cross-sectional study; Medicine; Physical activity; Gerontology; Rehabilitation; Low income; Environmental health; Level design; Physical therapy; Socioeconomics","score_opus":0.029300288606966356,"score_gpt":0.3451429677375425,"score_spread":0.3158426791305761,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2604434900","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99807405,0.000010193252,0.00036653748,0.000023771727,0.0003506303,0.00088711147,0.000053917367,0.00003533646,0.00019843847],"genre_scores_gemma":[0.9993212,0.0000024563806,0.00009137127,0.000003666072,0.0004706103,0.00004974466,0.0000036240117,0.000011620155,0.00004566994],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985766,0.00007141166,0.0002507209,0.00042453967,0.0004461424,0.00023062472],"domain_scores_gemma":[0.99853003,0.0005606186,0.0003061143,0.00032957207,0.00018544355,0.00008820549],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007366812,0.00013379587,0.0002484103,0.00005259162,0.0010875594,0.00022849403,0.0003211483,0.00010340544,0.000022785185],"category_scores_gemma":[0.00034492306,0.00012789534,0.00012396237,0.00011741655,0.00020567287,0.0005236712,0.000023936173,0.00012006208,7.284923e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016639661,0.0013667975,0.98397577,0.00016430447,0.000011362134,5.673333e-7,0.012545179,0.000007859593,0.000013051744,0.0002600355,0.000001429498,0.0014872504],"study_design_scores_gemma":[0.0010304925,0.00017610902,0.99702567,0.00002657928,0.00002916893,4.0227217e-8,0.0006672675,0.00012318509,0.000032053762,0.0007457978,0.0000037636225,0.00013987118],"about_ca_topic_score_codex":0.0019122168,"about_ca_topic_score_gemma":0.008215388,"teacher_disagreement_score":0.013049904,"about_ca_system_score_codex":0.000045764486,"about_ca_system_score_gemma":0.00011714513,"threshold_uncertainty_score":0.8364737},"labels":[],"label_agreement":null},{"id":"W2604488239","doi":"10.1136/bmjopen-2016-013889","title":"Association between neighbourhood walkability and metabolic risk factors influenced by physical activity: a cross-sectional study of adults in Toronto, Canada","year":2017,"lang":"en","type":"article","venue":"BMJ Open","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":59,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"North York General Hospital; Public Health Ontario; University of Toronto","funders":"","keywords":"Medicine; Walkability; Cross-sectional study; Neighbourhood (mathematics); Environmental health; Physical activity; Gerontology; Association (psychology); Public health; Epidemiology; Physical therapy; Internal medicine","score_opus":0.0420172462909506,"score_gpt":0.4082750331654979,"score_spread":0.3662577868745473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2604488239","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955417,0.0000061817036,3.7827135e-7,0.000057404926,0.00008882957,0.0023977617,0.00024278522,0.000006813323,0.0016581562],"genre_scores_gemma":[0.999696,0.000002151181,0.0000033911003,0.0000033144065,0.00008258544,0.00008661588,0.0000059015347,0.0000044381795,0.00011557628],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99838436,0.00022649384,0.00025314064,0.00033034774,0.00058786117,0.00021780017],"domain_scores_gemma":[0.99873066,0.00022529994,0.00055036345,0.00028068287,0.000114869435,0.0000981143],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014811674,0.000104600156,0.0003585397,0.000009780044,0.0006715044,0.0003267543,0.0005910855,0.00008198664,0.000077285724],"category_scores_gemma":[0.00080999907,0.000094506206,0.00003612427,0.00006151372,0.00010567513,0.0014582138,0.00014176131,0.00014552799,2.4089147e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007026404,0.00034379828,0.994066,0.0000066938655,0.00005221669,2.5349948e-7,0.0040858653,6.811989e-7,0.000012590944,0.000009244061,0.000013113219,0.0013392572],"study_design_scores_gemma":[0.00092613243,0.000043100787,0.9968655,0.000005993955,0.000028355424,3.635106e-9,0.0017170107,0.000006812991,0.00012869292,0.0001351351,0.000030411798,0.000112829905],"about_ca_topic_score_codex":0.9977867,"about_ca_topic_score_gemma":0.99743515,"teacher_disagreement_score":0.0041543366,"about_ca_system_score_codex":0.00053114735,"about_ca_system_score_gemma":0.00047990857,"threshold_uncertainty_score":0.5164737},"labels":[],"label_agreement":null},{"id":"W2604540260","doi":"10.1017/s071498081700006x","title":"Snow and Rain Modify Neighbourhood Walkability for Older Adults","year":2017,"lang":"fr","type":"article","venue":"Canadian Journal on Aging / La Revue canadienne du vieillissement","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Health Sciences Centre; University of British Columbia; British Columbia Centre of Excellence for Women's Health; Simon Fraser University","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; Canadian Institutes of Health Research","keywords":"Walkability; Neighbourhood (mathematics); Snow; Geography; Destinations; Physical geography; Built environment; Meteorology; Engineering; Tourism; Civil engineering","score_opus":0.015948670302703586,"score_gpt":0.25348385626046777,"score_spread":0.23753518595776418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2604540260","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9090845,0.0035374966,0.00010309929,0.07468189,0.0047029336,0.0009008869,0.00042949448,0.000015366553,0.006544299],"genre_scores_gemma":[0.9905314,0.00038843343,0.00024891656,0.00095255126,0.001961708,0.000043878106,0.000020148897,0.000054890068,0.0057980907],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9962386,0.00021497389,0.00072175654,0.00081909396,0.0001876063,0.0018180041],"domain_scores_gemma":[0.99365866,0.0002986503,0.0006171728,0.0006764254,0.0004609992,0.004288118],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0029838735,0.00047316347,0.00060342986,0.00023371539,0.0051887385,0.0013999761,0.0010612337,0.0003195902,0.0011801451],"category_scores_gemma":[0.0010328422,0.00050322164,0.0003295154,0.00016460991,0.0011299439,0.0008133239,0.00003062096,0.0007474424,0.000010348683],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000100893725,0.00023032099,0.42158848,0.00086419797,0.00029861636,0.0010568325,0.059826117,0.00005533538,0.000008734504,0.04478713,0.01065831,0.46052504],"study_design_scores_gemma":[0.0019758774,0.00020092094,0.6214064,0.0024872548,0.00018031462,0.000059065507,0.004331111,0.0005008644,0.000018063361,0.0054972903,0.36256114,0.0007817161],"about_ca_topic_score_codex":0.33696425,"about_ca_topic_score_gemma":0.93833804,"teacher_disagreement_score":0.6013738,"about_ca_system_score_codex":0.0019978585,"about_ca_system_score_gemma":0.0015343289,"threshold_uncertainty_score":0.9997419},"labels":[],"label_agreement":null},{"id":"W2604640940","doi":"","title":"Popularizing Cycling in Europe: Where Did Britain Miss the Turning?","year":2016,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trent University","funders":"","keywords":"Cycling; Incentive; Geography; Political science; Regional science; Economic geography; Economics","score_opus":0.02096979523660056,"score_gpt":0.2958876222427982,"score_spread":0.2749178270061976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2604640940","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93083996,0.0002381585,0.00031521797,0.012862755,0.00013094152,0.000120952056,0.0000011053155,0.000071096816,0.05541984],"genre_scores_gemma":[0.992052,0.0000426504,0.00010825831,0.00021036067,0.00014643234,0.0000029112073,4.3326605e-7,0.0000067796295,0.0074301707],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989867,0.0001443278,0.00018741521,0.00019549606,0.00020650912,0.00027951036],"domain_scores_gemma":[0.9995594,0.00013953698,0.000042421943,0.00015648815,0.0000456168,0.00005650961],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009512183,0.00006722135,0.000091282374,0.000021231508,0.00030935797,0.00007370723,0.00033793596,0.000049365473,0.0003726738],"category_scores_gemma":[0.00022672939,0.000034126755,0.00003795393,0.00041465374,0.00016977433,0.00026857504,0.000021664842,0.00010320405,0.00003859735],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000044395315,0.000018341238,0.98175454,0.0000032508483,0.0000022876188,0.000007792233,0.0028049012,4.592902e-7,0.00082404586,0.003369704,0.00032896394,0.0108812535],"study_design_scores_gemma":[0.0003413172,0.00000978656,0.89962655,0.00010967596,0.000007972002,2.0064928e-7,0.0032748866,0.000010451791,0.00030665772,0.0053720837,0.09072876,0.00021163112],"about_ca_topic_score_codex":0.015645271,"about_ca_topic_score_gemma":0.0788042,"teacher_disagreement_score":0.090399794,"about_ca_system_score_codex":0.00003517739,"about_ca_system_score_gemma":0.000061570216,"threshold_uncertainty_score":0.99090964},"labels":[],"label_agreement":null},{"id":"W2604948505","doi":"10.1016/j.ypmed.2017.04.008","title":"Interactions of psychosocial factors with built environments in explaining adolescents' active transportation","year":2017,"lang":"en","type":"article","venue":"Preventive Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":52,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Heart, Lung, and Blood Institute; National Institutes of Health","keywords":"Psychosocial; Walkability; Recreation; Built environment; Medicine; Environmental health; Level design; Physical activity; Gerontology; Ecology; Physical therapy","score_opus":0.03745478891865742,"score_gpt":0.360040576482307,"score_spread":0.32258578756364953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2604948505","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944221,0.000019673194,0.00078667334,0.00036532222,0.00023427828,0.00029023367,0.000014633119,0.000008340588,0.0038587688],"genre_scores_gemma":[0.99946934,0.000023039878,0.000036315116,0.000009621838,0.00010336946,0.000013491776,0.000022042097,0.0000063960742,0.0003163836],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99901897,0.00007348125,0.00023269583,0.00020051046,0.0003117342,0.00016260568],"domain_scores_gemma":[0.99937934,0.00004060202,0.0003258179,0.0001636324,0.000027921416,0.00006270099],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025375458,0.000094976254,0.00020968153,0.00006478862,0.0003220353,0.000008683932,0.00023139773,0.00004099497,0.00030509525],"category_scores_gemma":[0.00007599606,0.00007474518,0.000040914692,0.00007621897,0.0006185078,0.0004895955,0.000004606937,0.00015264352,0.0000012142656],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000118087104,0.00014750723,0.9508728,0.000013974019,0.00002088425,0.0000024664216,0.045356408,7.221903e-7,0.00040699117,0.00009351645,0.000009542919,0.002957132],"study_design_scores_gemma":[0.00087614864,0.00005479303,0.9854991,0.000427963,0.000038444796,1.3696533e-8,0.011378479,9.416121e-7,0.00068192557,0.00040541706,0.00056504895,0.00007176672],"about_ca_topic_score_codex":0.0061779437,"about_ca_topic_score_gemma":0.036726736,"teacher_disagreement_score":0.034626286,"about_ca_system_score_codex":0.00007015261,"about_ca_system_score_gemma":0.00003900328,"threshold_uncertainty_score":0.9808505},"labels":[],"label_agreement":null},{"id":"W2605479071","doi":"","title":"Effects of Built Environment and Weather on Bike Sharing Demand: Station Level Analysis of Commercial Bike Sharing in Toronto","year":2015,"lang":"en","type":"article","venue":"Transportation Research Board 94th Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transport engineering; Bike sharing; Service (business); Regression analysis; Trip generation; Level of service; Geography; Engineering; Computer science; Business; TRIPS architecture","score_opus":0.10846943109412235,"score_gpt":0.41866600133093845,"score_spread":0.3101965702368161,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2605479071","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948737,0.00050325645,0.00060062704,0.0004520493,0.0000804083,0.0016646939,0.0003662236,0.0000532722,0.0014057835],"genre_scores_gemma":[0.9976422,0.00064285874,0.00066004123,0.000026701475,0.000072183495,0.00020888155,0.00029868216,0.00004562,0.00040282533],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99086916,0.0010384547,0.0014571439,0.0010995856,0.0043620295,0.0011736051],"domain_scores_gemma":[0.99572074,0.0013137572,0.00034294018,0.0005066257,0.0014473501,0.0006686017],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.010432428,0.00032834167,0.00084202294,0.0016947739,0.00047735756,0.00009270398,0.0007817972,0.00033431643,0.00024951846],"category_scores_gemma":[0.0004904927,0.00034143685,0.00023753251,0.002707822,0.0011812455,0.0011035627,0.000023547365,0.00081650243,0.000006644078],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001328415,0.0006190083,0.9224006,0.00046128617,0.00025163085,0.000036262743,0.064756826,0.0018184622,0.001164501,0.0047102044,0.00009301075,0.002359771],"study_design_scores_gemma":[0.0017754012,0.00047127777,0.97125113,0.00024330601,0.00018797453,1.0432347e-8,0.021566214,0.0003623961,0.0019946427,0.0013125848,0.0005427264,0.0002923229],"about_ca_topic_score_codex":0.34651402,"about_ca_topic_score_gemma":0.5820283,"teacher_disagreement_score":0.23551433,"about_ca_system_score_codex":0.0006222721,"about_ca_system_score_gemma":0.00044680954,"threshold_uncertainty_score":0.99990374},"labels":[],"label_agreement":null},{"id":"W2605491767","doi":"10.1080/09581596.2017.1311009","title":"Universal Design for the rural walks of life: operationalizing walkability in Bonnyville, Alberta, Canada","year":2017,"lang":"en","type":"article","venue":"Critical Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Alberta Health Services; University of Alberta","funders":"Canadian Institutes of Health Research; Alberta Innovates; Public Health Agency of Canada; Alberta Health Services; Heart and Stroke Foundation of Canada","keywords":"Walkability; Operationalization; Geography; Regional science; Political science; Sociology; Environmental planning; Socioeconomics; Built environment; Civil engineering; Engineering","score_opus":0.09603897490535074,"score_gpt":0.37214172956811603,"score_spread":0.2761027546627653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2605491767","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29736027,0.00040641896,0.009888514,0.68517697,0.000802865,0.0012381681,0.00007051319,0.000019529238,0.005036772],"genre_scores_gemma":[0.99821836,0.000013736726,0.00032732284,0.0011406961,0.00012776117,0.000020824442,0.0000059179615,0.0000047752696,0.00014061105],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99840516,0.00027441778,0.00033928553,0.00017987007,0.0003106822,0.00049058395],"domain_scores_gemma":[0.9969763,0.0020597428,0.00006999622,0.00031957275,0.00022351653,0.00035085817],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0029092815,0.00007309341,0.00020237004,0.000020232315,0.0016157605,0.0001384011,0.0005462003,0.000062159335,0.0001719767],"category_scores_gemma":[0.00816721,0.00005665982,0.00004611603,0.00008762545,0.0007945987,0.00047911666,0.000026462054,0.00013915492,4.7868537e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006091714,0.0002551568,0.4922063,0.00020364004,0.000018706049,0.0000015239623,0.0058183456,0.000018960212,0.0000036602437,0.48037186,0.009809277,0.0112316385],"study_design_scores_gemma":[0.0006468021,0.00005675532,0.91807395,0.00003162825,0.00000772262,7.631188e-8,0.008153576,0.0014049165,0.000005093842,0.006564698,0.06487342,0.00018135906],"about_ca_topic_score_codex":0.96077424,"about_ca_topic_score_gemma":0.9817248,"teacher_disagreement_score":0.70085806,"about_ca_system_score_codex":0.00039122597,"about_ca_system_score_gemma":0.010221371,"threshold_uncertainty_score":0.999684},"labels":[],"label_agreement":null},{"id":"W2605725928","doi":"","title":"Exploring Parental Perceptions of a Walking-School-Bus Initiative in Northern Ontario","year":2017,"lang":"en","type":"article","venue":"QSpace (Queen's University Library)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Government of Canada","keywords":"Perception; Geography; Psychology","score_opus":0.03924617290442346,"score_gpt":0.23843694466479834,"score_spread":0.19919077176037486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2605725928","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94712114,0.0000023548926,0.000014650947,0.0058109714,0.00012456243,0.00017123694,0.000017725113,0.00006536038,0.04667197],"genre_scores_gemma":[0.9873765,0.000046582092,0.00022980473,0.000017904484,0.000056387507,0.0000011519772,0.000014582988,0.000009117167,0.012247976],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989719,0.00010722503,0.00013005201,0.00028003223,0.00022921024,0.00028157505],"domain_scores_gemma":[0.99923486,0.000046539593,0.0001710751,0.00033458436,0.000040459705,0.00017247676],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008347104,0.00012292604,0.00020895692,0.0001477373,0.00081497914,0.00009245428,0.00065944326,0.00008251963,0.0009311534],"category_scores_gemma":[0.000037756727,0.00014231901,0.00011851762,0.00018774439,0.00041947898,0.0051332833,0.0001406031,0.00026354345,0.000022491748],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049275706,0.00009137744,0.97130364,0.000008122537,0.00001381762,0.00004510231,0.027525268,0.0000036161834,0.0000018476999,0.00041113223,0.0003653653,0.00018144387],"study_design_scores_gemma":[0.0003349742,0.000024578589,0.9692738,0.00005420107,0.000016581509,9.8126725e-9,0.02372455,2.2470051e-7,0.00005296631,0.00027144598,0.006092969,0.00015367093],"about_ca_topic_score_codex":0.5162212,"about_ca_topic_score_gemma":0.8316632,"teacher_disagreement_score":0.31544197,"about_ca_system_score_codex":0.00029654376,"about_ca_system_score_gemma":0.0005940979,"threshold_uncertainty_score":0.9999821},"labels":[],"label_agreement":null},{"id":"W2606037979","doi":"","title":"How to Get There? A Critical Assessment of Accessibility Objectives and Indicators in Metropolitan Transportation Plans","year":2017,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Metropolitan area; Transportation planning; Destinations; Business; Environmental planning; Process (computing); Transport engineering; Order (exchange); Land-use planning; Land use; Computer science; Geography; Engineering; Tourism; Civil engineering; Finance","score_opus":0.03739171581941206,"score_gpt":0.4085440027716804,"score_spread":0.3711522869522683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2606037979","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9671526,0.000020277244,0.000009685392,0.001032187,0.00005682655,0.00038031675,0.000070591544,0.000008211213,0.03126929],"genre_scores_gemma":[0.9990928,0.00032450483,0.00034967836,0.000012037295,0.000041253228,0.000044943474,0.0000048465204,0.000008584377,0.00012135228],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99827,0.00024628534,0.00032024668,0.00045715063,0.0002676591,0.00043870026],"domain_scores_gemma":[0.99878776,0.0004392407,0.000093940274,0.0004214321,0.00006208779,0.00019554004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024745658,0.0000982502,0.00027758683,0.0003638856,0.00039315072,0.00021802142,0.0005161879,0.0001271194,0.00003108569],"category_scores_gemma":[0.0007585419,0.00009695622,0.000049815502,0.00017628008,0.001233828,0.0006066187,0.000028625027,0.0003257429,1.6303103e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041682648,0.00012855888,0.97526073,0.000039268536,0.000008113129,0.000005571706,0.0036536825,0.000002263619,0.000066435,0.0071803993,4.9114254e-7,0.013612795],"study_design_scores_gemma":[0.0002659135,0.000052352585,0.98507005,0.000028854349,0.000003028233,2.846226e-8,0.011441236,0.000039767445,0.00015199791,0.0025912789,0.00025821725,0.00009725247],"about_ca_topic_score_codex":0.003802898,"about_ca_topic_score_gemma":0.11299731,"teacher_disagreement_score":0.10919441,"about_ca_system_score_codex":0.0005347239,"about_ca_system_score_gemma":0.00035956423,"threshold_uncertainty_score":0.90318817},"labels":[],"label_agreement":null},{"id":"W2606252387","doi":"10.1177/0739456x17704295","title":"Review: <i>City Cycling</i> By John Pucher and Ralph Buehler, eds.","year":2017,"lang":"en","type":"article","venue":"Journal of Planning Education and Research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Cycling; Political science; History; Archaeology","score_opus":0.12143318120574463,"score_gpt":0.507609888940469,"score_spread":0.38617670773472434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2606252387","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8632894,0.1076045,0.000008744882,0.01785391,0.00048117276,0.00012661902,0.0000020643884,0.000004445391,0.010629131],"genre_scores_gemma":[0.9552163,0.03828007,0.00014338183,0.00043102345,0.0006945379,0.0000024306191,0.0000017764969,0.00000463098,0.005225844],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988816,0.00018186188,0.00022218659,0.00011189654,0.00041657343,0.00018592775],"domain_scores_gemma":[0.9988911,0.00013238851,0.00022798791,0.00013146043,0.00040128783,0.00021576375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046164077,0.00005044927,0.00014437309,0.00007279529,0.0012164479,0.00030000726,0.0002769428,0.000063597174,0.00007720512],"category_scores_gemma":[0.0009208374,0.000038425645,0.000032375363,0.000077621284,0.00043468256,0.00045320656,0.000026594842,0.00042616716,0.0000017637486],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018579512,0.00012413846,0.5896747,0.00015294836,0.0000107425185,0.0000025312652,0.003322687,3.476734e-8,0.00017953679,0.00004502908,0.38421404,0.02225502],"study_design_scores_gemma":[0.00016639956,0.00003183732,0.28319317,0.00097560347,0.000013007634,0.0000032177206,0.0011418746,0.0000010205098,0.000066817025,0.00074911123,0.7135921,0.00006584331],"about_ca_topic_score_codex":0.0006554828,"about_ca_topic_score_gemma":0.00004617767,"teacher_disagreement_score":0.32937807,"about_ca_system_score_codex":0.000029025763,"about_ca_system_score_gemma":0.00049422594,"threshold_uncertainty_score":0.93560565},"labels":[],"label_agreement":null},{"id":"W2606627783","doi":"","title":"When I’m 64: Assessing Generational Differences in Public Transit Use Among Seniors in Montreal, Canada","year":2017,"lang":"en","type":"article","venue":"Transportation Research Board 96th Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Public transport; Gerontology; Transit (satellite); Political science; Psychology; Medicine","score_opus":0.12101555244669371,"score_gpt":0.39273795791994437,"score_spread":0.27172240547325066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2606627783","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9880654,0.00010344492,0.00013851041,0.0055767274,0.00029485056,0.0018833068,0.00049950444,0.00009953754,0.0033386804],"genre_scores_gemma":[0.9963426,0.00024544875,0.0005278994,0.00006914295,0.0002786324,0.00042107457,0.00044386758,0.0000652751,0.0016060838],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9848016,0.0024822687,0.0017410411,0.001562766,0.0066236597,0.00278866],"domain_scores_gemma":[0.99294657,0.0016434441,0.00040033896,0.0009322496,0.0029939536,0.0010834385],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity"],"consensus_categories":["sts"],"category_scores_codex":[0.010331917,0.000496555,0.0007981521,0.0015402698,0.0041296035,0.0021861114,0.0019226617,0.0005312826,0.0008023243],"category_scores_gemma":[0.0015843841,0.00052529643,0.00019942065,0.0016795308,0.0027272652,0.00649513,0.00001857326,0.0025295655,0.0000125007255],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028768997,0.00032726582,0.9757917,0.000118997385,0.00003439003,0.0004572669,0.01829066,0.00022500107,0.000121874924,0.0015876337,0.0010069689,0.0017505395],"study_design_scores_gemma":[0.0014442757,0.000082698745,0.9758277,0.00026081965,0.000014011395,4.8014055e-8,0.017511027,0.00022653435,0.000093488685,0.0012100808,0.0028100477,0.0005192675],"about_ca_topic_score_codex":0.98734623,"about_ca_topic_score_gemma":0.9996416,"teacher_disagreement_score":0.012295364,"about_ca_system_score_codex":0.0009461756,"about_ca_system_score_gemma":0.004651231,"threshold_uncertainty_score":0.99998677},"labels":[],"label_agreement":null},{"id":"W2606862732","doi":"10.1016/j.tbs.2017.04.005","title":"Transport and child well-being: An integrative review","year":2017,"lang":"en","type":"article","venue":"Travel Behaviour and Society","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":157,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"VINNOVA","keywords":"Psychology","score_opus":0.02254743391307575,"score_gpt":0.3277857970941735,"score_spread":0.30523836318109776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2606862732","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95582825,0.0021681858,0.000069906826,0.0016313613,0.000096675634,0.0003586657,0.000019943518,0.000046007746,0.03978102],"genre_scores_gemma":[0.984323,0.013889429,0.00017778855,0.00047628218,0.000100149366,0.00001104211,0.000018961355,0.000009588107,0.000993727],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989308,0.000046427012,0.00019924353,0.00035501216,0.00021616287,0.00025234363],"domain_scores_gemma":[0.99931484,0.000014295511,0.00010020049,0.00028801727,0.00005512145,0.00022753519],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00067598856,0.00015652744,0.0002856512,0.000007518767,0.0021241426,0.000120828714,0.00027730185,0.00013521392,0.00016885102],"category_scores_gemma":[0.000012086572,0.0001277879,0.000149199,0.000041050927,0.0008987406,0.0005711736,0.000013454634,0.0002556393,0.0000014648607],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003916701,0.00007993433,0.9585578,0.00010916742,0.000014110523,0.0000041606486,0.035301514,4.010787e-9,0.000007921029,0.002351245,0.00016707604,0.0034031395],"study_design_scores_gemma":[0.0002461828,0.000028794611,0.9924774,0.00032840428,0.00012915066,7.417506e-7,0.0048904396,0.000002123447,0.00003523022,0.0008010514,0.0008746563,0.00018581767],"about_ca_topic_score_codex":0.0034707102,"about_ca_topic_score_gemma":0.0025378321,"teacher_disagreement_score":0.03878729,"about_ca_system_score_codex":0.000018406403,"about_ca_system_score_gemma":0.00005716285,"threshold_uncertainty_score":0.99917495},"labels":[],"label_agreement":null},{"id":"W2607227275","doi":"10.23889/ijpds.v1i1.343","title":"Using Linked Data to Explore the Relationship Between Walking-Friendliness of Neighbourhoods, Physical Activity and Body Mass","year":2017,"lang":"en","type":"article","venue":"International Journal for Population Data Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada; McGill University Health Centre; McGill University","funders":"","keywords":"Walkability; Neighbourhood (mathematics); Physical activity; Environmental health; Geography; Built environment; Level design; Gerontology; Medicine; Psychology; Ecology; Computer science; Physical therapy","score_opus":0.47196979582674214,"score_gpt":0.5197015571610791,"score_spread":0.047731761334336986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2607227275","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9766652,0.0000062875497,0.018278189,0.0034145506,0.00090845866,0.00020919336,0.00044089922,0.000008627251,0.00006856611],"genre_scores_gemma":[0.9957189,0.0000031862314,0.0029936002,0.00001650973,0.0011246841,0.0000016205374,0.00011018597,0.000005049605,0.000026253916],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99817854,0.000061705214,0.00024641742,0.00036679264,0.0009570468,0.00018948087],"domain_scores_gemma":[0.9976281,0.00040022616,0.0005001604,0.00094499456,0.00039579684,0.00013071726],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0029131703,0.000078529956,0.00012638725,0.000103836115,0.0025536343,0.0008698565,0.005001087,0.000035567762,0.0000072225057],"category_scores_gemma":[0.005031545,0.00005945341,0.000029361136,0.0001627131,0.0005807217,0.006064205,0.00061406597,0.00016667623,7.0056655e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024277122,0.000025884941,0.98945135,0.0000030396652,0.000009691359,5.628852e-7,0.000655104,0.000022461723,0.00047028225,0.0035934257,0.000027736914,0.0057162005],"study_design_scores_gemma":[0.00015689715,0.000008629147,0.9827331,0.00003637396,0.000025137719,7.910061e-7,0.00023639681,0.008491557,0.00003984509,0.0076926243,0.0005033061,0.000075345284],"about_ca_topic_score_codex":0.0024641645,"about_ca_topic_score_gemma":0.00058622,"teacher_disagreement_score":0.01905368,"about_ca_system_score_codex":0.00007281869,"about_ca_system_score_gemma":0.000257674,"threshold_uncertainty_score":0.9987449},"labels":[],"label_agreement":null},{"id":"W2607454746","doi":"10.1007/s11116-018-9896-1","title":"A finite mixture modeling approach to examine New York City bicycle sharing system (CitiBike) users’ destination preferences","year":2018,"lang":"en","type":"article","venue":"Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Multinomial logistic regression; TRIPS architecture; Computer science; Multinomial distribution; Destinations; Mixed logit; Explanatory power; Population; Process (computing); Econometrics; Operations research; Logistic regression; Geography; Machine learning; Tourism; Mathematics","score_opus":0.10256818311160541,"score_gpt":0.29912527825553137,"score_spread":0.19655709514392594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2607454746","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7957634,0.000036189063,0.19516066,0.0000726529,0.00017342172,0.00044361825,0.000017929742,0.0002564763,0.0080756685],"genre_scores_gemma":[0.99254036,0.000002302033,0.0061957696,0.000047845617,0.0004833491,0.000025826215,0.00017058846,0.000016092083,0.0005178706],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99823713,0.000048445654,0.00039382922,0.00051179895,0.00047353876,0.00033522496],"domain_scores_gemma":[0.9992222,0.00003925423,0.00011021006,0.00020457113,0.0001978702,0.00022584728],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005608735,0.00016613808,0.00019753793,0.00011555144,0.0005093827,0.0001193472,0.00033182878,0.00015259412,0.00007481106],"category_scores_gemma":[0.000037613798,0.00016495142,0.000066475695,0.0007009264,0.000083345636,0.00055116706,0.000003152188,0.0001268813,0.000018961719],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017953206,0.00020379685,0.83941036,0.0002833034,0.00004085301,0.0000030217882,0.1340565,0.0111591155,0.0005502912,0.007629705,0.00012546385,0.0063580503],"study_design_scores_gemma":[0.00079215306,0.00013408702,0.9237445,0.00037788675,0.00016521303,2.130978e-7,0.010933413,0.058728743,0.00066074805,0.0033161796,0.0004524563,0.00069439],"about_ca_topic_score_codex":0.014412495,"about_ca_topic_score_gemma":0.029130774,"teacher_disagreement_score":0.19677697,"about_ca_system_score_codex":0.00010110563,"about_ca_system_score_gemma":0.0001406253,"threshold_uncertainty_score":0.9921506},"labels":[],"label_agreement":null},{"id":"W2607648696","doi":"10.7202/1039344ar","title":"Le transport actif à Ottawa (Canada) face à des obstacles politiques tenaces","year":2017,"lang":"fr","type":"article","venue":"Lien social et Politiques","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.04894285834497179,"score_gpt":0.3456080299038213,"score_spread":0.29666517155884947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2607648696","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.62064433,0.002086487,0.00006285459,0.044374727,0.0009908064,0.00033487173,0.00067615137,0.00019503177,0.3306347],"genre_scores_gemma":[0.97409177,0.0013350341,0.0003867018,0.0013071467,0.0024037494,0.00003794672,0.000061510385,0.000075587144,0.02030055],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.994917,0.00060479925,0.0008098543,0.0008558901,0.0010058002,0.0018066819],"domain_scores_gemma":[0.9973313,0.00020757293,0.0006910219,0.0006635596,0.00047665773,0.00062984583],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0010943627,0.0005901355,0.00083948666,0.00006541275,0.005907675,0.00068994897,0.0017178373,0.0006703011,0.00041383965],"category_scores_gemma":[0.00028221015,0.0006502233,0.00046237017,0.00019246126,0.006008201,0.003260742,0.0000961315,0.00069701596,0.000016794824],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029971321,0.0003006649,0.24829161,0.0002537894,0.00013655172,0.000063486346,0.06604393,6.06534e-7,0.000055863224,0.6763556,0.003414621,0.0050532892],"study_design_scores_gemma":[0.0003671444,0.00005450807,0.6571656,0.00016563237,0.00011148937,0.0000011858918,0.051959105,0.000002708432,0.0014473539,0.10109828,0.18684849,0.0007785235],"about_ca_topic_score_codex":0.98472005,"about_ca_topic_score_gemma":0.98314446,"teacher_disagreement_score":0.57525736,"about_ca_system_score_codex":0.00065446127,"about_ca_system_score_gemma":0.005481196,"threshold_uncertainty_score":0.9995949},"labels":[],"label_agreement":null},{"id":"W2608142853","doi":"10.1016/j.pmedr.2017.04.008","title":"Does parental support influence children's active school travel?","year":2017,"lang":"en","type":"article","venue":"Preventive Medicine Reports","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; Vancouver Coastal Health; University of British Columbia; Vancouver Coastal Health Research Institute","funders":"","keywords":"Psychological intervention; Logistic regression; Bivariate analysis; Psychology; Demography; Medicine","score_opus":0.013717425117729491,"score_gpt":0.3316845482517821,"score_spread":0.3179671231340526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2608142853","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9490543,0.000051304763,0.000054969074,0.0014136237,0.001025417,0.0006757858,0.0000129509535,0.000070652044,0.04764099],"genre_scores_gemma":[0.99244356,0.000056853576,0.000025657217,0.00007635981,0.0008125578,0.000039918672,0.000037570768,0.000013688454,0.006493839],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975263,0.00011489499,0.00054050214,0.00060528185,0.00077164266,0.00044137466],"domain_scores_gemma":[0.99776053,0.0000487693,0.0008252038,0.0007691111,0.0002170733,0.00037930536],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012518372,0.00020938063,0.0003939047,0.00006463158,0.0013770254,0.00009273498,0.00048578632,0.00010971171,0.002248473],"category_scores_gemma":[0.001563881,0.00012787568,0.00013503311,0.00009283665,0.0015629891,0.0010334316,0.000076721386,0.00027677385,0.0000186749],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001883435,0.000081865066,0.9910863,0.000010889428,0.000054892174,0.00022018988,0.0031104905,1.469458e-7,0.00014523724,0.00007727655,0.00039700101,0.00479687],"study_design_scores_gemma":[0.0002893215,0.000051158197,0.99034023,0.000117289615,0.00009050441,0.0000075701014,0.0013635503,2.3051854e-7,0.0009769105,0.0046608234,0.0019093105,0.00019310853],"about_ca_topic_score_codex":0.010626357,"about_ca_topic_score_gemma":0.0032591578,"teacher_disagreement_score":0.043389246,"about_ca_system_score_codex":0.000116673415,"about_ca_system_score_gemma":0.00038133474,"threshold_uncertainty_score":0.99992305},"labels":[],"label_agreement":null},{"id":"W2608169672","doi":"10.1016/j.sste.2017.04.002","title":"Measuring geographical accessibility to rural and remote health care services: Challenges and considerations","year":2017,"lang":"en","type":"article","venue":"Spatial and Spatio-temporal Epidemiology","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":50,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Health care; Catchment area; Rural area; Estimation; Geography; Unit (ring theory); Distribution (mathematics); Population; Quality (philosophy); Resource (disambiguation); Geographic information system; Business; Environmental resource management; Environmental planning; Computer science; Cartography; Environmental health; Medicine; Economic growth; Psychology","score_opus":0.11030315211977462,"score_gpt":0.3723867166958289,"score_spread":0.2620835645760543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2608169672","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9540566,0.008527978,0.00028543937,0.035490178,0.00022000438,0.0005032456,0.000031420506,0.00006135723,0.000823767],"genre_scores_gemma":[0.9944001,0.0023314052,0.0017917122,0.0011395068,0.0002718876,0.000011511085,0.00003107991,0.000008709206,0.000014114054],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975097,0.00070254644,0.0005533689,0.00061535556,0.00015000453,0.00046901839],"domain_scores_gemma":[0.99820566,0.00042605435,0.00034008326,0.00038620215,0.00014078752,0.00050120614],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002415449,0.00020081419,0.0006358143,0.000071607996,0.0024397082,0.00012140531,0.00019465535,0.00021992456,0.000030206407],"category_scores_gemma":[0.0009415925,0.000174372,0.000055185064,0.00003678277,0.0009627372,0.00041311415,0.0001520658,0.00021799313,0.0000013752307],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004522341,0.00001349038,0.894743,0.00014698114,0.000012949714,0.00000193282,0.00877002,5.569309e-7,0.0000016203257,0.0032371904,0.000011712644,0.09301528],"study_design_scores_gemma":[0.00031046214,0.000111703375,0.9652789,0.00007063434,0.000014283493,0.0000011310797,0.0020239423,0.00014749491,0.0000024983942,0.030157484,0.001693941,0.00018753],"about_ca_topic_score_codex":0.17228249,"about_ca_topic_score_gemma":0.59230083,"teacher_disagreement_score":0.42001835,"about_ca_system_score_codex":0.000035686076,"about_ca_system_score_gemma":0.00015097794,"threshold_uncertainty_score":0.998859},"labels":[],"label_agreement":null},{"id":"W2608355082","doi":"10.1093/sleepj/zsx050.802","title":"0803 WHY SLEEP MATTERS: THE MACROECONOMIC COSTS OF INSUFFICIENT SLEEP","year":2017,"lang":"en","type":"article","venue":"SLEEP","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Absenteeism; Presenteeism; Productivity; Population; Economics; Human capital; Demographic economics; Public health; Sleep (system call); Medicine; Economic growth; Environmental health","score_opus":0.020246896653677196,"score_gpt":0.2924938247378744,"score_spread":0.2722469280841972,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2608355082","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9586318,0.00018405498,0.00018028419,0.008894265,0.0010515351,0.00036065743,0.000032278458,0.00004447754,0.030620638],"genre_scores_gemma":[0.99813586,0.000018458422,0.000048808237,0.0011192581,0.00024218268,0.000016237344,0.000005465792,0.00001259467,0.00040114607],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985842,0.000091298105,0.00032965225,0.0003088432,0.0002931692,0.0003928133],"domain_scores_gemma":[0.9985362,0.00006647088,0.00033949493,0.0008645793,0.000080677,0.00011252504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082851306,0.00013833714,0.00022270383,0.000041339274,0.0012588813,0.00021667167,0.00136598,0.00009296152,0.000870368],"category_scores_gemma":[0.00007300334,0.000105086736,0.00015554026,0.000075896976,0.001027174,0.00039779386,0.000099733006,0.00015978391,0.00014175044],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007489175,0.0003818167,0.9277274,0.000038338912,0.00008678943,0.000010616996,0.012539726,0.00007501779,0.00032802494,0.015243106,0.0046212575,0.038873035],"study_design_scores_gemma":[0.0011426363,0.00009084948,0.8293193,0.00006240751,0.00013054954,6.579744e-7,0.0037913297,0.00067067595,0.0016542559,0.0043752734,0.1582051,0.00055696536],"about_ca_topic_score_codex":0.007667803,"about_ca_topic_score_gemma":0.009572225,"teacher_disagreement_score":0.15358385,"about_ca_system_score_codex":0.00012042746,"about_ca_system_score_gemma":0.000049043007,"threshold_uncertainty_score":0.9989402},"labels":[],"label_agreement":null},{"id":"W2608606907","doi":"10.1093/sleepj/zsx050.827","title":"0828 BLACK-WHITE DISPARITIES IN SHORT SLEEP DURATION WITHIN DIFFERENT ENVIRONMENTAL HOUSING TYPES IN THE UNITED STATES","year":2017,"lang":"en","type":"article","venue":"SLEEP","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Demography; Socioeconomic status; Medicine; Confidence interval; Gerontology; Quarter (Canadian coin); Poisson regression; Sleep (system call); Environmental health; Geography; Population","score_opus":0.02267977071025169,"score_gpt":0.27614689959946226,"score_spread":0.2534671288892106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2608606907","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971474,0.000045008685,0.000039936924,0.0012489014,0.00017894169,0.00023863633,0.00001317862,0.000018459845,0.0010695831],"genre_scores_gemma":[0.99957204,0.000043810738,0.00001267212,0.00011268996,0.0000785803,0.00001180581,0.00007515858,0.000006927629,0.00008634559],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989126,0.00014041654,0.0002326039,0.0001892964,0.00028761258,0.00023750876],"domain_scores_gemma":[0.99960184,0.000039122195,0.00006210686,0.00025314564,0.000007009661,0.0000367609],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050910114,0.00010415923,0.00012264491,0.00006482017,0.00053405477,0.00024050342,0.0003765849,0.000064987056,0.00007289006],"category_scores_gemma":[0.000033979,0.000074883916,0.000034178138,0.00008152965,0.00050640124,0.0003799399,0.00003008075,0.00016934088,0.0000065546637],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018114915,0.0000951433,0.9764784,0.000005951719,0.0000043758096,0.00000849668,0.022372104,0.00015900779,0.000031509797,0.0003275869,0.000010837684,0.00048847584],"study_design_scores_gemma":[0.00015980109,0.000011576297,0.9899847,0.000016807046,0.000011780279,5.356075e-8,0.0062731714,0.0017950559,0.00011261147,0.0013769271,0.00014917087,0.00010833953],"about_ca_topic_score_codex":0.0074254004,"about_ca_topic_score_gemma":0.09400126,"teacher_disagreement_score":0.086575866,"about_ca_system_score_codex":0.00007935948,"about_ca_system_score_gemma":0.00001149411,"threshold_uncertainty_score":0.99918425},"labels":[],"label_agreement":null},{"id":"W2611338055","doi":"10.1080/23748834.2017.1309091","title":"Choosing tools for building healthy spaces: an overview of guidance toolkits available from North America and Australia","year":2017,"lang":"en","type":"article","venue":"Cities & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saskatchewan Health Authority; University of Saskatchewan","funders":"Memorial University of Newfoundland; Canada Research Chairs","keywords":"Usability; Checklist; Knowledge translation; Thematic map; Thematic analysis; Grey literature; Quality (philosophy); Computer science; Knowledge management; Psychology; MEDLINE; Geography; Political science; Cartography; Sociology; Qualitative research; Human–computer interaction","score_opus":0.24658163090813054,"score_gpt":0.4340051437573918,"score_spread":0.18742351284926126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2611338055","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99046606,0.0056758737,0.00029281183,0.0018293962,0.0003267075,0.0005131334,0.0003711483,0.000040231742,0.00048462817],"genre_scores_gemma":[0.9905811,0.0023050213,0.005587822,0.0006509085,0.0003429372,0.000020737909,0.00004353292,0.000012149639,0.00045581118],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99838865,0.000103178914,0.00040339754,0.0003675471,0.00023380849,0.00050341553],"domain_scores_gemma":[0.99845654,0.00016424351,0.00055581366,0.00044969626,0.00010073429,0.00027295915],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.000591084,0.00013103378,0.00041914667,0.000030229869,0.0017489439,0.00037290822,0.00040825616,0.00006402317,0.00016389629],"category_scores_gemma":[0.00018323108,0.00013223974,0.000058587615,0.000076082186,0.0005313312,0.0013126819,0.0000310539,0.00010443553,0.000002953406],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008932774,0.00007145346,0.94096017,0.0007592511,0.000017799868,8.573852e-7,0.012924297,0.0000028816435,0.00003499249,0.0032354994,0.0027977428,0.03910575],"study_design_scores_gemma":[0.00045620743,0.00022925624,0.8817564,0.0003219903,0.000017224065,6.331829e-8,0.0028646362,0.000029770004,0.00004493452,0.0021998442,0.11184752,0.00023211759],"about_ca_topic_score_codex":0.11598343,"about_ca_topic_score_gemma":0.051491708,"teacher_disagreement_score":0.109049775,"about_ca_system_score_codex":0.000110058994,"about_ca_system_score_gemma":0.0005277288,"threshold_uncertainty_score":0.99955064},"labels":[],"label_agreement":null},{"id":"W2611390410","doi":"","title":"Vancouver’s renewable city strategy: Economic and policy analysis","year":2017,"lang":"en","type":"article","venue":"Summit (Simon Fraser University)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Economic analysis; Economics; Business; Natural resource economics; Agricultural economics","score_opus":0.022958038911659893,"score_gpt":0.2680288903536234,"score_spread":0.24507085144196347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2611390410","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83439976,0.000021437527,0.00008604433,0.00040246124,0.00012182703,0.00008594412,0.000044507324,0.000050811228,0.16478722],"genre_scores_gemma":[0.9759297,0.00011072656,0.000036146463,0.000028027698,0.00013985434,1.8189566e-7,0.000007528499,0.000004642359,0.023743214],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99905235,0.000058051857,0.00010669323,0.00035937867,0.00012703247,0.0002965052],"domain_scores_gemma":[0.9990978,0.00003179023,0.00014978528,0.00045739752,0.00004421371,0.00021899903],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00023458095,0.00011506923,0.00022454397,0.0002960942,0.0016406423,0.00021499043,0.0006175877,0.00012207602,0.0004783377],"category_scores_gemma":[0.000029070785,0.00013200949,0.00013460939,0.0003260167,0.0005105831,0.0010595232,0.00007741042,0.00009828132,0.000010763721],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021624535,0.000021962702,0.9939576,0.000003771434,0.00011105597,0.00001869769,0.00005539694,0.000087569795,3.8712693e-7,0.0014609733,0.0035212182,0.00073978223],"study_design_scores_gemma":[0.0008441503,0.000031973017,0.5987095,0.000008608008,0.00057434314,2.0689775e-10,0.019770153,0.00015745757,0.00012790188,0.004065773,0.37527815,0.0004319881],"about_ca_topic_score_codex":0.20706122,"about_ca_topic_score_gemma":0.9851594,"teacher_disagreement_score":0.77809817,"about_ca_system_score_codex":0.00023566009,"about_ca_system_score_gemma":0.00034630322,"threshold_uncertainty_score":0.99965906},"labels":[],"label_agreement":null},{"id":"W2611769501","doi":"","title":"Le transport urbain, une question de santé","year":2006,"lang":"fr","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Philosophy","score_opus":0.009221137798020503,"score_gpt":0.2777299192407359,"score_spread":0.2685087814427154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2611769501","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5451908,0.002957376,0.011572566,0.010157922,0.00054137496,0.00015755724,0.000016078431,0.00013935992,0.42926696],"genre_scores_gemma":[0.88577473,0.00007204027,0.00094281306,0.00019793514,0.0009341607,0.000005829406,0.000029007631,0.000012258118,0.11203125],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99834037,0.00016693311,0.00035624971,0.00032202085,0.00028902257,0.0005254046],"domain_scores_gemma":[0.9995129,0.000042115444,0.00007418698,0.00016799601,0.00007245039,0.0001303588],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00087195245,0.0001564003,0.00019750396,0.000032487944,0.0003730826,0.00003692565,0.00021812141,0.0002405346,0.0015154702],"category_scores_gemma":[0.0000073695037,0.00016481866,0.00016022091,0.0005885623,0.00065501017,0.000505463,0.000003924459,0.00016586586,0.000092120375],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011974225,0.00035298977,0.5091299,0.000036566693,0.000008481563,0.000021478947,0.0009901742,0.00004385157,0.000131281,0.48125646,0.0032618714,0.0047550034],"study_design_scores_gemma":[0.00026530257,0.000023423563,0.7616369,0.000034098004,0.0000549543,5.625699e-7,0.0005316951,0.00008505088,0.00045971226,0.079490125,0.15718019,0.00023795465],"about_ca_topic_score_codex":0.36386785,"about_ca_topic_score_gemma":0.24221084,"teacher_disagreement_score":0.40176633,"about_ca_system_score_codex":0.00013054191,"about_ca_system_score_gemma":0.00053912203,"threshold_uncertainty_score":0.9993973},"labels":[],"label_agreement":null},{"id":"W2612142670","doi":"10.1016/j.tra.2017.05.006","title":"Hail a cab or ride a bike? A travel time comparison of taxi and bicycle-sharing systems in New York City","year":2017,"lang":"en","type":"article","venue":"Transportation Research Part A Policy and Practice","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":131,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"TRIPS architecture; Destinations; Transport engineering; Multinomial logistic regression; Competition (biology); Bike sharing; Computer science; Travel behavior; Geography; Engineering; Tourism","score_opus":0.3556333469962557,"score_gpt":0.5217751748286195,"score_spread":0.16614182783236375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2612142670","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9836029,0.0006158893,0.00008417645,0.0057131965,0.000047580823,0.00069637725,0.00006805315,0.00002332422,0.009148494],"genre_scores_gemma":[0.9955625,0.00024998444,0.00015720769,0.00003711615,0.00020059927,0.000025443598,0.000012239014,0.000009716552,0.0037452208],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99761146,0.0004083244,0.0004931671,0.0003692059,0.0006610092,0.00045685025],"domain_scores_gemma":[0.99746627,0.0014179188,0.00031724852,0.0003076479,0.00018112041,0.00030977256],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004114823,0.00012137248,0.00034125452,0.00022306856,0.00095151237,0.00033986758,0.00033535255,0.00014398755,0.000098004675],"category_scores_gemma":[0.0023463706,0.00010991055,0.000035646714,0.0004302565,0.0006800239,0.001202878,0.000011834563,0.00040125643,0.000005848112],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018149009,0.0003391271,0.9024839,0.0003395545,0.000057108875,0.000039780043,0.078401074,0.000021509226,0.00040507526,0.010859498,0.0009043749,0.004334113],"study_design_scores_gemma":[0.0010544629,0.00011383346,0.9520565,0.00021432784,0.000039335762,7.813034e-7,0.009124736,0.00041693583,0.000087027176,0.00079719373,0.035918463,0.00017634913],"about_ca_topic_score_codex":0.44011897,"about_ca_topic_score_gemma":0.16763699,"teacher_disagreement_score":0.27248198,"about_ca_system_score_codex":0.00004796356,"about_ca_system_score_gemma":0.0009218609,"threshold_uncertainty_score":0.84755147},"labels":[],"label_agreement":null},{"id":"W2612398296","doi":"","title":"Estimation and validation of Hybrid choice models to identify which factors could affect the choice of the bicycle","year":2017,"lang":"en","type":"article","venue":"International Choice Modelling Conference 2017","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Recreation; Affect (linguistics); Transport engineering; Sustainable transport; Cycling; Public transport; Government (linguistics); Mode choice; Choice set; Work (physics); Estimation; Public economics; Engineering; Psychology; Sustainability; Economics; Econometrics; Political science; Geography","score_opus":0.16615381204696908,"score_gpt":0.40727915739214815,"score_spread":0.24112534534517907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2612398296","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9389824,0.000021573593,0.05467413,0.0015655182,0.0005832776,0.0003606565,0.00006410506,0.000017244402,0.0037310936],"genre_scores_gemma":[0.999256,0.000020988056,0.00018001301,0.000025846137,0.00014019171,0.000013042251,0.000013849085,0.000008369073,0.00034169003],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998398,0.000090778325,0.00033824256,0.00028765664,0.0007101591,0.00017518083],"domain_scores_gemma":[0.99769735,0.00045591578,0.0005712048,0.0005350387,0.00067157246,0.00006892573],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006967805,0.0001350283,0.0001835668,0.000059702514,0.0008239838,0.00035864042,0.0014977284,0.00006647882,0.000034945886],"category_scores_gemma":[0.0008120667,0.00009382697,0.00007990058,0.000077672245,0.00034536695,0.0011144868,0.00011656346,0.00018012665,0.0000024121682],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032824537,0.00011913982,0.80539566,0.0000604717,0.00009683744,3.0036315e-7,0.006794488,0.17596513,0.001819274,0.0073421057,0.00013846802,0.0022352852],"study_design_scores_gemma":[0.0002371748,0.000014978436,0.4449175,0.0001818149,0.00005363016,1.4321094e-7,0.00016132578,0.535524,0.007505755,0.0109432945,0.00030236546,0.00015798653],"about_ca_topic_score_codex":0.028267581,"about_ca_topic_score_gemma":0.006952063,"teacher_disagreement_score":0.36047816,"about_ca_system_score_codex":0.000050530925,"about_ca_system_score_gemma":0.00016149001,"threshold_uncertainty_score":0.9782033},"labels":[],"label_agreement":null},{"id":"W2612839614","doi":"","title":"Mémoire concernant la Politique québécoise de mobilité durable : des interventions pour favoriser le transport actif et la pratique d’activité physique","year":2013,"lang":"fr","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.026264351702543237,"score_gpt":0.3136387030170811,"score_spread":0.2873743513145378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2612839614","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78264815,0.0009261056,0.007709256,0.019309323,0.00022401892,0.00085465034,0.00007051373,0.00019769295,0.18806027],"genre_scores_gemma":[0.92001104,0.0013549645,0.0013968421,0.0005461434,0.00019536007,0.00032147128,0.000021429143,0.00005353615,0.07609923],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99571323,0.0015611473,0.00074655196,0.0006932296,0.0003285321,0.00095731806],"domain_scores_gemma":[0.9978241,0.0006254382,0.000283504,0.00044059686,0.0003102713,0.0005161006],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0016147281,0.0004520612,0.0005562497,0.0000753058,0.00057878555,0.00021306342,0.0005572786,0.0005673896,0.003935866],"category_scores_gemma":[0.00010148937,0.00042549905,0.0007477507,0.00046636324,0.0016794145,0.0033294668,0.00003346205,0.0007900118,0.00011121902],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005369287,0.0042887996,0.42343387,0.0010723689,0.00028847792,0.00007134601,0.026519984,0.00010830889,0.004526031,0.5167256,0.002446177,0.02046535],"study_design_scores_gemma":[0.00080601865,0.00012103374,0.8507139,0.000784166,0.00016616781,0.000012785837,0.015670277,0.00016797053,0.0058988906,0.07701757,0.047825277,0.00081593596],"about_ca_topic_score_codex":0.6313753,"about_ca_topic_score_gemma":0.5279258,"teacher_disagreement_score":0.43970802,"about_ca_system_score_codex":0.000499403,"about_ca_system_score_gemma":0.0038175269,"threshold_uncertainty_score":0.9998197},"labels":[],"label_agreement":null},{"id":"W2612954906","doi":"","title":"New Methods for Resilient Societies: The Geographical Analysis of Injury Data","year":2017,"lang":"en","type":"article","venue":"Sapientia (Algarve University)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto; St. Michael's Hospital; Toronto Metropolitan University","funders":"","keywords":"Geography","score_opus":0.047442295497226526,"score_gpt":0.38302972968804894,"score_spread":0.33558743419082243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2612954906","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.560977,0.0005962028,0.37750313,0.0053405385,0.0013475744,0.0013478224,0.000817093,0.00013957266,0.051931083],"genre_scores_gemma":[0.96419376,0.0002832748,0.021267515,0.000059409762,0.00013266386,7.3790295e-7,0.00011083285,0.000009704077,0.013942081],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987428,0.00019779417,0.00016221931,0.00039449608,0.00024591928,0.00025673863],"domain_scores_gemma":[0.9977847,0.00022791733,0.0002627436,0.0014414451,0.00016111968,0.00012207792],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0015362134,0.0000923385,0.00024338465,0.00022266805,0.0017368575,0.00011383617,0.0026741459,0.00011021643,0.0003089207],"category_scores_gemma":[0.00024018227,0.000077701494,0.0003639618,0.00081527926,0.0009843686,0.00056460535,0.0003192436,0.00011165781,0.0000011339831],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034589926,0.00021021461,0.8215874,0.000047355777,0.0028312504,0.000004188609,0.0078118644,0.000008859611,0.00019293484,0.09691374,0.015949573,0.05409671],"study_design_scores_gemma":[0.00050088327,0.000042320506,0.49161905,0.0000138816085,0.004124894,1.714587e-8,0.004003608,0.00041701493,0.00022299206,0.004453608,0.4943659,0.00023581226],"about_ca_topic_score_codex":0.0060158637,"about_ca_topic_score_gemma":0.010817727,"teacher_disagreement_score":0.47841632,"about_ca_system_score_codex":0.000034561268,"about_ca_system_score_gemma":0.00024304017,"threshold_uncertainty_score":0.99956274},"labels":[],"label_agreement":null},{"id":"W2613995459","doi":"","title":"Gender Differences in the Commute to School and Work through Time and Space in the Greater Toronto and Hamilton Area, Canada","year":2017,"lang":"en","type":"dissertation","venue":"TSpace (University of Toronto)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Space (punctuation); Sociology; Journey to work; Geography; Gender studies; Engineering; Transport engineering; Computer science; Mechanical engineering; Public transport","score_opus":0.028428243469453943,"score_gpt":0.2647135920397203,"score_spread":0.23628534857026634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2613995459","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9273717,0.0020289049,0.0000011401295,0.0014036151,0.00006102112,0.00039167533,0.000016864065,0.000005259353,0.06871984],"genre_scores_gemma":[0.9903681,0.0007886829,0.00004719904,0.00006463666,0.000025731579,0.0000010411991,0.00002064692,0.000004340156,0.008679594],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9989411,0.0001772661,0.00008024024,0.0002754245,0.0003121129,0.00021385388],"domain_scores_gemma":[0.999387,0.00010029839,0.00012198483,0.00028042766,0.000036909056,0.000073345494],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00037665895,0.0001580873,0.00028363426,0.00001261272,0.00057763385,0.000092822935,0.0005600934,0.00014761402,0.0010588762],"category_scores_gemma":[0.00002001013,0.00012246841,0.000027396545,0.00004097314,0.00020908081,0.00054308074,0.00002659313,0.0001583197,4.4089927e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001474747,0.000026168449,0.47120288,0.00004775341,0.000026677679,0.000020690783,0.5246327,1.3944542e-7,0.0000058081146,0.00011107265,0.001419226,0.0023594084],"study_design_scores_gemma":[0.00018999151,0.000017574748,0.82741183,0.00006970172,0.000035336045,1.2140532e-7,0.17083892,0.0000015737586,5.018531e-7,0.000043521544,0.0012680897,0.00012285284],"about_ca_topic_score_codex":0.99584484,"about_ca_topic_score_gemma":0.99985635,"teacher_disagreement_score":0.35620895,"about_ca_system_score_codex":0.00023703049,"about_ca_system_score_gemma":0.00020824657,"threshold_uncertainty_score":0.99985427},"labels":[],"label_agreement":null},{"id":"W2614074274","doi":"","title":"How can we alter our carbon footprint? Estimating GHG emissions based on travel survey information","year":2012,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Greenhouse gas; Carbon footprint; Downtown; TRIPS architecture; Business; Natural resource economics; Beijing; Environmental science; Environmental economics; Geography; Transport engineering; Economics; Engineering; China","score_opus":0.041120018682833,"score_gpt":0.2821424944978177,"score_spread":0.2410224758149847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2614074274","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9576141,0.000026962209,0.000012395759,0.00078516133,0.0012739814,0.0005381428,0.00044683705,0.00023326848,0.039069157],"genre_scores_gemma":[0.99736553,0.000006150965,0.0012482633,0.00030117948,0.00013954371,0.00004596276,0.00011091116,0.000038183673,0.0007442561],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99632406,0.0007120461,0.0005630978,0.00040954803,0.0009881089,0.0010031258],"domain_scores_gemma":[0.9978138,0.00030161726,0.0003507711,0.00053864456,0.00027240423,0.0007227137],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0032758368,0.00037765212,0.00037940743,0.00021931957,0.0021283452,0.00024075374,0.00056873943,0.00034349822,0.000044494598],"category_scores_gemma":[0.0018608256,0.00035830558,0.00018857075,0.00066421926,0.00010945908,0.0013877153,0.00005899126,0.0007698335,0.000026893504],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003395779,0.001326724,0.43924668,0.0004004136,0.00014644083,0.000015624402,0.0010559708,0.00046018173,0.0077925036,0.034304384,0.000026536438,0.51488495],"study_design_scores_gemma":[0.0025054957,0.00022643659,0.92340505,0.0005276063,0.00018286434,0.00000210386,0.0048319013,0.0020695296,0.031877458,0.0068856087,0.025092823,0.0023931274],"about_ca_topic_score_codex":0.0089631155,"about_ca_topic_score_gemma":0.0061903447,"teacher_disagreement_score":0.5124918,"about_ca_system_score_codex":0.0005836119,"about_ca_system_score_gemma":0.00011204912,"threshold_uncertainty_score":0.9998869},"labels":[],"label_agreement":null},{"id":"W2615336482","doi":"10.1007/978-3-319-58700-4_26","title":"Lived Experiences and Technology in the Design of Urban Nature Parks for Accessibility","year":2017,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières; McGill University; Jewish Rehabilitation Hospital; Institut de Readaptation Gingras Lindsay de Montreal; Université de Montréal; Centre for Interdisciplinary Research in Rehabilitation","funders":"","keywords":"Computer science; Architectural engineering; Human–computer interaction; Engineering","score_opus":0.0336600845712509,"score_gpt":0.31934388733255364,"score_spread":0.28568380276130273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2615336482","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14524606,0.0064075952,0.8336494,0.0043762247,0.0019224038,0.0042051156,0.000019254921,0.00010203832,0.0040719155],"genre_scores_gemma":[0.98766357,0.000045300865,0.011798116,0.00015132295,0.00019498188,0.00005063205,0.0000017312848,0.0000079291585,0.000086409775],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99771154,0.0000712791,0.0003852793,0.00087704934,0.0005337675,0.0004211037],"domain_scores_gemma":[0.9977455,0.00088495004,0.00035315947,0.0007554267,0.00020686601,0.000054066033],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0028138808,0.00024852896,0.0004354023,0.0003288798,0.00063094305,0.00024650994,0.002849472,0.00072155526,0.0000155469],"category_scores_gemma":[0.00053229247,0.00017118151,0.00006378434,0.00027662795,0.005542835,0.00036631306,0.00016573031,0.00075167476,2.5922546e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000211235,0.0002922099,0.20302284,0.00037770093,0.000033866072,0.00006405651,0.29769617,0.0003872764,0.00025329588,0.021514185,0.00010138383,0.4760458],"study_design_scores_gemma":[0.00074553816,0.0003855929,0.02341824,0.0007431025,0.000038504713,0.0000029151831,0.00040435698,0.0064502712,0.0015314906,0.9630919,0.0021977022,0.0009903988],"about_ca_topic_score_codex":0.0001382749,"about_ca_topic_score_gemma":0.0015806846,"teacher_disagreement_score":0.9415777,"about_ca_system_score_codex":0.000077966106,"about_ca_system_score_gemma":0.00060774526,"threshold_uncertainty_score":0.99716353},"labels":[],"label_agreement":null},{"id":"W2616778382","doi":"10.1155/2017/8749040","title":"Exploring the Influence of Attitudes to Walking and Cycling on Commute Mode Choice Using a Hybrid Choice Model","year":2017,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Mode choice; Cycling; Mode (computer interface); Discrete choice; China; Structural equation modeling; Transport engineering; Sustainable transport; Greenhouse gas; Travel behavior; Traffic congestion; Order (exchange); Environmental economics; Computer science; Business; Economics; Engineering; Econometrics; Public transport; Sustainability; Geography; Ecology","score_opus":0.09856254362581848,"score_gpt":0.3822477276070283,"score_spread":0.2836851839812098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2616778382","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99714637,0.000049395716,0.0021631839,0.0002948405,0.00014120038,0.00014868086,0.000009445151,0.000007981713,0.00003890652],"genre_scores_gemma":[0.9959255,0.00012965624,0.003759148,0.000054804434,0.00011263483,0.0000031161817,8.8897514e-7,0.00000901173,0.000005258888],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9988068,0.00003345647,0.00045659096,0.00013204971,0.00040267842,0.00016843816],"domain_scores_gemma":[0.9986397,0.00018208803,0.0006398399,0.00020372483,0.00024093362,0.000093698916],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005339775,0.000099406476,0.00021672437,0.00007094773,0.0007992961,0.00007289751,0.00038005196,0.00002270945,0.0000011859555],"category_scores_gemma":[0.00020670713,0.00007891287,0.000076972894,0.00007825006,0.00015240052,0.002176891,0.000004440194,0.00020973822,1.141376e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010136877,0.000042530923,0.25707412,0.00004054313,0.000019868687,0.00000395913,0.011613251,0.7128568,0.0128770135,0.00018138229,3.768457e-7,0.0051887836],"study_design_scores_gemma":[0.00034780422,0.000040827003,0.99515736,0.00039430227,0.00005109,2.737151e-7,0.0005239558,0.0006636965,0.0019345798,0.0007467479,0.000045798937,0.00009357675],"about_ca_topic_score_codex":0.0011368551,"about_ca_topic_score_gemma":0.0044608293,"teacher_disagreement_score":0.73808324,"about_ca_system_score_codex":0.000047711754,"about_ca_system_score_gemma":0.00007729108,"threshold_uncertainty_score":0.61476195},"labels":[],"label_agreement":null},{"id":"W2617594110","doi":"10.3390/ijerph14050551","title":"Changes in Objectively-Determined Walkability and Physical Activity in Adults: A Quasi-Longitudinal Residential Relocation Study","year":2017,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"Institute of Population and Public Health; Canadian Institutes of Health Research; Alberta Innovates; Institute of Musculoskeletal Health and Arthritis; Public Health Agency; Public Health Agency of Canada","keywords":"Walkability; Relocation; Neighbourhood (mathematics); Built environment; Cycling; Socioeconomic status; Environmental health; Odds; Longitudinal study; Logistic regression; Physical activity; Gerontology; Medicine; Demography; Psychology; Geography; Population; Physical therapy; Engineering","score_opus":0.09626845336867891,"score_gpt":0.4449145625707244,"score_spread":0.34864610920204553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2617594110","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9869117,0.00007100162,0.0000052666055,0.012500843,0.00009645911,0.00031406412,0.000016164939,0.0000019509678,0.000082519975],"genre_scores_gemma":[0.9991198,0.00057119003,0.00001407164,0.000012384509,0.00023564357,0.000009550497,0.0000014901435,0.00000368622,0.00003215208],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976299,0.00057738455,0.00023795152,0.00023425104,0.0010130401,0.0003074692],"domain_scores_gemma":[0.99911577,0.00021263452,0.00023326658,0.00012164426,0.000076451266,0.00024024135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004847134,0.00007087326,0.00018555339,0.00026730986,0.0003881725,0.00023548931,0.00039392762,0.000040739793,0.000029910894],"category_scores_gemma":[0.0007088335,0.000058650196,0.000023779612,0.00007178166,0.0006262509,0.0010077218,0.00011915074,0.00041835842,6.434653e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036421698,0.0026246693,0.8943414,0.000009486398,0.000010706607,0.000029922685,0.0091616735,4.3462055e-8,0.000043250373,0.00002946052,0.0000028927882,0.09338226],"study_design_scores_gemma":[0.0010989181,0.0006400461,0.99081576,0.0000487065,7.972845e-7,0.0000017169137,0.0062231305,0.000032303848,0.000017264356,0.0009943557,0.00007985194,0.000047138263],"about_ca_topic_score_codex":0.01936546,"about_ca_topic_score_gemma":0.13120757,"teacher_disagreement_score":0.11184211,"about_ca_system_score_codex":0.00064578204,"about_ca_system_score_gemma":0.00035438853,"threshold_uncertainty_score":0.9871647},"labels":[],"label_agreement":null},{"id":"W2618234375","doi":"10.21433/b3116z0905hw","title":"A Multidirectional Optimal Ecotope-Based Algorithm to Delineate a Commuter Shed","year":2016,"lang":"en","type":"article","venue":"International Conference on GIScience Short Paper Proceedings","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Metropolitan area; Context (archaeology); Geography; Regional science; Census; Transport engineering; Cartography; Economic geography; Library science; Archaeology; Sociology; Computer science; Engineering; Demography; Population","score_opus":0.047471079282970986,"score_gpt":0.3417408636794318,"score_spread":0.2942697843964608,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2618234375","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.710527,0.000011444477,0.04382424,0.04819355,0.0016883896,0.0009778654,0.00013285146,0.0004270605,0.19421758],"genre_scores_gemma":[0.98198867,0.000016660331,0.012433103,0.0016594529,0.00039140036,0.00013427816,0.000006549264,0.000013347001,0.0033565674],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9971068,0.000023191265,0.00037561328,0.0007266857,0.0012628131,0.00050492474],"domain_scores_gemma":[0.9982756,0.000071108545,0.00007999486,0.00013857901,0.0010936788,0.00034103385],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009240554,0.00022296664,0.00019154414,0.00022463728,0.000489267,0.00037174224,0.0011677626,0.00010659832,0.002643831],"category_scores_gemma":[0.0002188794,0.0001617058,0.00011330576,0.00039693428,0.00055456196,0.0012143577,0.00007723296,0.00016442708,0.00016591331],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042122626,0.0008089933,0.24636836,0.000012951206,0.000068845526,0.000021056214,0.0054152277,0.000028828532,0.05077343,0.05724948,0.00358629,0.6352453],"study_design_scores_gemma":[0.0036639308,0.0012287061,0.43818167,0.0013911546,0.000083314386,0.000011084626,0.004655792,0.061146274,0.03973381,0.00714903,0.43903267,0.0037225715],"about_ca_topic_score_codex":0.00041131966,"about_ca_topic_score_gemma":0.0006326788,"teacher_disagreement_score":0.6315227,"about_ca_system_score_codex":0.0002839575,"about_ca_system_score_gemma":0.0004095742,"threshold_uncertainty_score":0.9982679},"labels":[],"label_agreement":null},{"id":"W2618352800","doi":"10.1097/phh.0000000000000555","title":"Ciclovia in a Rural Latino Community: Results and Lessons Learned","year":2017,"lang":"en","type":"article","venue":"Journal of Public Health Management and Practice","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Linde (Canada)","funders":"National Institute on Minority Health and Health Disparities","keywords":"Data science; Environmental health; Psychology; Computer science; Medicine","score_opus":0.29785862516268113,"score_gpt":0.48343846681294256,"score_spread":0.18557984165026142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2618352800","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47279468,0.0004920563,0.0000995098,0.44094914,0.00017973765,0.00017796723,0.000002854652,0.000008163728,0.0852959],"genre_scores_gemma":[0.99261975,0.004342099,0.00092685246,0.0010025157,0.00010236395,0.0000011411757,0.0000010222769,0.0000036313297,0.001000608],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99731064,0.0015668725,0.00044642435,0.000084720814,0.0003121624,0.0002791743],"domain_scores_gemma":[0.99774903,0.0006708603,0.000998501,0.00021571749,0.00011904032,0.00024684687],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.022850405,0.00006708239,0.00019059876,0.00012525375,0.0015389527,0.000611027,0.00032321704,0.000045371056,0.000013897474],"category_scores_gemma":[0.0028127383,0.00005885934,0.000024696756,0.000107401625,0.00020863088,0.0025175894,0.00008619447,0.0004995317,9.48567e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041952322,0.0004674421,0.27763593,0.00021365394,0.000088291024,0.000075749005,0.044685986,3.1132774e-7,0.0000018514347,0.0217339,0.0027052583,0.6519721],"study_design_scores_gemma":[0.0009483885,0.000067438035,0.6554575,0.0000534837,0.000014240794,0.0000026226226,0.024149934,0.000005820477,7.441233e-8,0.001466645,0.3177813,0.000052546955],"about_ca_topic_score_codex":0.009602375,"about_ca_topic_score_gemma":0.0077565066,"teacher_disagreement_score":0.65191954,"about_ca_system_score_codex":0.00006679722,"about_ca_system_score_gemma":0.00018892482,"threshold_uncertainty_score":0.9997609},"labels":[],"label_agreement":null},{"id":"W261943145","doi":"","title":"Internal Migration Dynamics of a Canadian Immigrant Gateway: Toronto as an Origin, Way-Station and Destination between 1991 and 2001 */la Dynamique De la Migration Interne D'une Porte D'entree Canadienne : Toronto En Tant Qu'origine, Etape et Destination Entre 1991 et 2001","year":2007,"lang":"fr","type":"article","venue":"Canadian Journal of Regional Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Immigration; Humanities; Geography; Population; Political science; Sociology; Demography; Art","score_opus":0.014484011901873331,"score_gpt":0.29436434378146986,"score_spread":0.27988033187959654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W261943145","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9834323,0.001351377,0.0026023968,0.009711081,0.000380511,0.0002832855,0.00014970772,0.000010604772,0.002078767],"genre_scores_gemma":[0.9943574,0.001679174,0.002990875,0.00020060118,0.00019707973,0.0000028759928,0.00018830074,0.000018771654,0.0003648934],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9966231,0.00052362896,0.00083976914,0.00044584842,0.0006267086,0.00094097486],"domain_scores_gemma":[0.9952471,0.00040870378,0.00076667743,0.0001539506,0.00083386136,0.0025896612],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.008081428,0.00029740724,0.00035302632,0.0006013061,0.00048428852,0.00031465516,0.0004886163,0.00027412272,0.000106404834],"category_scores_gemma":[0.00051631074,0.00030696386,0.000084603984,0.00090413325,0.0016152079,0.0036427197,0.000013625728,0.00037476988,5.410178e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.000082899714,0.00008851934,0.85748297,0.00006106963,0.000055402656,0.00029799555,0.0455254,0.00015641778,0.0006323956,0.04472265,0.0005491044,0.050345153],"study_design_scores_gemma":[0.00044387998,0.00039642665,0.9602406,0.00045309693,0.00010631615,0.00028337826,0.010646905,0.008216843,0.00005286279,0.003989375,0.0148149645,0.00035537634],"about_ca_topic_score_codex":0.9983391,"about_ca_topic_score_gemma":0.99997616,"teacher_disagreement_score":0.10275758,"about_ca_system_score_codex":0.007084356,"about_ca_system_score_gemma":0.0069588884,"threshold_uncertainty_score":0.99993825},"labels":[],"label_agreement":null},{"id":"W2620366098","doi":"10.1016/j.healthplace.2017.05.013","title":"Associations of neighborhood social environment attributes and physical activity among 9–11 year old children from 12 countries","year":2017,"lang":"en","type":"article","venue":"Health & Place","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Children's Hospital of Eastern Ontario","funders":"","keywords":"Low and middle income countries; Developing country; Geography; Physical activity; Demography; Level design; Obesity; Environmental health; Psychology; Medicine; Economic growth; Economics","score_opus":0.029341684627186133,"score_gpt":0.3149437060709848,"score_spread":0.2856020214437987,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2620366098","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99463475,0.000054936747,0.000036462417,0.0037105368,0.00006868776,0.00026167074,0.0008336074,0.000024152641,0.0003751721],"genre_scores_gemma":[0.999237,0.00007496743,0.000033481192,0.000054752792,0.00038231947,0.000005730921,0.000038263304,0.0000061702367,0.00016729596],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99891144,0.000118451666,0.00014059128,0.00022533243,0.00033433232,0.00026986754],"domain_scores_gemma":[0.9991436,0.00015478,0.00038155742,0.0001838533,0.000019586738,0.000116639356],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00043902922,0.00008987619,0.00027330118,0.000012534219,0.0016537617,0.00007991788,0.00019328434,0.000089921145,0.00006362605],"category_scores_gemma":[0.00007320633,0.00009061709,0.00005457358,0.00002361736,0.00049579813,0.0003672554,0.000040376784,0.00013116158,0.000005982549],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010305334,0.00012253191,0.9921814,0.000007371159,0.000016557391,1.7207819e-7,0.005965075,3.2696295e-7,0.0000054716984,0.0008414758,0.0004244658,0.00042484023],"study_design_scores_gemma":[0.00029963013,0.000017601804,0.9982784,0.000009640398,0.000019145924,6.6193886e-9,0.00021610409,0.000011880039,0.000041021853,0.00053862634,0.00048656962,0.000081378064],"about_ca_topic_score_codex":0.04955291,"about_ca_topic_score_gemma":0.018946588,"teacher_disagreement_score":0.03060632,"about_ca_system_score_codex":0.00014897429,"about_ca_system_score_gemma":0.0001952106,"threshold_uncertainty_score":0.99964595},"labels":[],"label_agreement":null},{"id":"W2620490649","doi":"10.1016/j.jth.2017.05.004","title":"Developing and validating an abbreviated version of the Microscale Audit for Pedestrian Streetscapes (MAPS-Abbreviated)","year":2017,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":90,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Vancouver Community College","funders":"National Institute of Environmental Health Sciences; National Heart, Lung, and Blood Institute; National Institutes of Health","keywords":"Walkability; Physical activity; Audit; Pedestrian; Demographics; Geography; Psychology; Destinations; Level design; Environmental health; Transport engineering; Applied psychology; Demography; Medicine; Computer science; Physical therapy; Engineering; Business; Multimedia","score_opus":0.06251283661577277,"score_gpt":0.3744514482340226,"score_spread":0.3119386116182498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2620490649","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9914097,0.00058877486,0.00074257544,0.006238737,0.0004357808,0.00037853472,0.00007825355,0.000009628091,0.00011796899],"genre_scores_gemma":[0.99647623,0.00061941927,0.00249723,0.00012721724,0.00021187017,0.0000013937491,0.000010577735,0.000010877874,0.000045181878],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99818116,0.00012952594,0.00082906015,0.00017592934,0.00037073376,0.0003135625],"domain_scores_gemma":[0.9975418,0.00008036694,0.0016462782,0.00025013337,0.000272017,0.0002093905],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0026591201,0.00012800569,0.000452655,0.00005408027,0.0016952798,0.000066114924,0.0006348229,0.00009617026,0.000025391846],"category_scores_gemma":[0.00010860592,0.00009228542,0.00019256026,0.00010417708,0.00027830293,0.00067006616,0.000010800137,0.00020906722,1.9374235e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010993363,0.000085571926,0.9861776,0.000406299,0.000030213998,0.0000025935087,0.003575005,0.0000042017687,0.00038420342,0.00025535986,0.00014467817,0.008824333],"study_design_scores_gemma":[0.0010702662,0.00017951328,0.98569983,0.0006569299,0.00007095754,0.0000018980975,0.0013761868,0.000005538523,0.00078652095,0.00080955407,0.00921757,0.00012523061],"about_ca_topic_score_codex":0.0031262867,"about_ca_topic_score_gemma":0.009951572,"teacher_disagreement_score":0.009072891,"about_ca_system_score_codex":0.00010337474,"about_ca_system_score_gemma":0.0013258178,"threshold_uncertainty_score":0.9996044},"labels":[],"label_agreement":null},{"id":"W2621133822","doi":"10.17411/jacces.v7i1.122","title":"MUNICIPAL PRACTICES AND NEEDS REGARDING ACCESSIBILITY OF PEDESTRIAN INFRASTRUCTURES FOR INDIVIDUALS WITH PHYSICAL DISABILITIES IN QUÉBEC, CANADA","year":2017,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval; Centres Intégré Universitaires de Santé et de Services Sociaux; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Centre for Interdisciplinary Research in Rehabilitation","funders":"","keywords":"Conceptualization; Universal design; Best practice; Web accessibility; Action plan; Descriptive statistics; Plan (archaeology); Limiting; Business; Public relations; The Internet; Computer science; Geography; Political science; World Wide Web; Engineering","score_opus":0.21491258080184303,"score_gpt":0.5451535987278725,"score_spread":0.33024101792602945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2621133822","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9928085,0.0017932835,0.000008810378,0.0006702065,0.00018363287,0.0007943671,0.00013778667,0.000011406517,0.0035919687],"genre_scores_gemma":[0.9990466,0.00040649623,0.00014603442,0.000041309966,0.00019024826,0.00004554013,0.0000061805854,0.000020738222,0.00009683169],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971669,0.0003236569,0.0007635193,0.000446519,0.0008243788,0.00047506165],"domain_scores_gemma":[0.99473107,0.0015758949,0.0024592779,0.00067558547,0.00029557495,0.00026258675],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002493313,0.00026984836,0.00091134413,0.00025606996,0.0010605443,0.0017012928,0.0032754333,0.00010731351,0.0005328994],"category_scores_gemma":[0.0038255467,0.00021431602,0.00011030802,0.00039583584,0.0013117058,0.0055519263,0.0004620455,0.00035832394,6.8197586e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032226148,0.0001412446,0.98832095,0.00021240911,0.000090676775,0.0000027748354,0.0069648298,0.000014538148,0.0003445292,0.00011369812,0.0005422834,0.0029298],"study_design_scores_gemma":[0.0007423705,0.000014735223,0.97943807,0.00023809623,0.00009463206,3.7697154e-7,0.006219248,0.000015787185,0.0015101084,0.008389597,0.0030697843,0.00026720652],"about_ca_topic_score_codex":0.95675707,"about_ca_topic_score_gemma":0.9741972,"teacher_disagreement_score":0.01744011,"about_ca_system_score_codex":0.00021926971,"about_ca_system_score_gemma":0.0020078628,"threshold_uncertainty_score":0.99933505},"labels":[],"label_agreement":null},{"id":"W2621891740","doi":"","title":"School travel planning in Canada: Identifying child, family, and school-level characteristics associated with travel mode shift from driving to active school travel","year":2014,"lang":"en","type":"article","venue":"Journal of Exercise, Movement, and Sport","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University; University of Toronto","funders":"","keywords":"Demographics; Morning; Intervention (counseling); Demography; Medicine; Psychology; Geography; Nursing; Sociology","score_opus":0.020986404258147417,"score_gpt":0.26540220514500656,"score_spread":0.24441580088685916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2621891740","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99612695,0.00016517988,0.001454288,0.00019201213,0.00025714637,0.00037461394,0.000112514484,0.000008854436,0.0013084292],"genre_scores_gemma":[0.9984963,0.00023253042,0.00030212663,0.0004625256,0.00027662877,0.00000834463,0.000024735557,0.000028552333,0.00016824939],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969631,0.00006473948,0.0009664555,0.0004338244,0.0009914894,0.00058041885],"domain_scores_gemma":[0.9978495,0.000090295776,0.00074499287,0.0001717029,0.00020795841,0.0009355081],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012103504,0.00032112398,0.0008892763,0.00025133597,0.00046241202,0.00024137057,0.00035463276,0.00014792265,0.00009328903],"category_scores_gemma":[0.00025871233,0.0002881481,0.00008142962,0.00031794526,0.000101137215,0.0008681434,0.000036462192,0.0007665501,0.0000011306911],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024177646,0.00009923101,0.99413735,0.000020221529,0.00007819308,0.000077153745,0.003675531,0.000016672866,0.0003987435,0.000025602936,0.00010142071,0.0011281186],"study_design_scores_gemma":[0.0013988048,0.00006439513,0.98138416,0.0012780724,0.00012773834,8.574208e-7,0.014628905,0.00008216173,0.00015531114,0.00050183106,0.000020838663,0.00035691584],"about_ca_topic_score_codex":0.3972305,"about_ca_topic_score_gemma":0.61822766,"teacher_disagreement_score":0.22099717,"about_ca_system_score_codex":0.00055795384,"about_ca_system_score_gemma":0.0015043701,"threshold_uncertainty_score":0.9999571},"labels":[],"label_agreement":null},{"id":"W2622034414","doi":"10.1145/3064857.3079140","title":"Analyzing Student Travel Patterns With Augmented Data Visualizations","year":2017,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ontario College of Art and Design","funders":"Mitacs","keywords":"Visualization; Computer science; Data science; Visual analytics; Data visualization; Analytics; Software; Informatics; Decision support system; Creative visualization; Human–computer interaction; Data mining; Engineering","score_opus":0.09258681828019283,"score_gpt":0.42362653125881816,"score_spread":0.33103971297862533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2622034414","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9223868,0.000013491838,0.037952937,0.00092857453,0.00009960776,0.000191025,0.000050021004,0.000057489407,0.038320035],"genre_scores_gemma":[0.996804,0.000015896137,0.0001754708,0.00004135092,0.00008913975,0.0000031871764,0.00006897667,0.0000047746144,0.002797218],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99918914,0.00002878192,0.00011594658,0.00024834374,0.0002498507,0.00016793289],"domain_scores_gemma":[0.9989752,0.000015372796,0.00008403078,0.00079417916,0.000051647567,0.00007956056],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00034752997,0.000060140123,0.000089485904,0.000020944459,0.0013520988,0.00036316426,0.0010859349,0.000026897327,0.0007272539],"category_scores_gemma":[0.000026153495,0.00004456312,0.000016318101,0.000056610927,0.00015757105,0.0007136254,0.000078634446,0.000044577202,0.0000077600525],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000025780273,0.000078667865,0.9962285,0.0000030060658,0.000020768339,0.0000027155563,0.0013926909,4.7830304e-7,0.000008423877,0.0014934174,0.00012983236,0.0006389219],"study_design_scores_gemma":[0.00018550045,0.0000087854305,0.9958034,0.0000131322395,0.000031573298,2.292668e-8,0.0026945684,0.00006775747,0.00003083378,0.000045788813,0.0010372639,0.00008133534],"about_ca_topic_score_codex":0.011135987,"about_ca_topic_score_gemma":0.12647696,"teacher_disagreement_score":0.11534098,"about_ca_system_score_codex":0.000020382917,"about_ca_system_score_gemma":0.00007722572,"threshold_uncertainty_score":0.999948},"labels":[],"label_agreement":null},{"id":"W2622927566","doi":"","title":"Am Stressed, Must Travel: The Relationship Between Mode Choice And Commuting Stress","year":2015,"lang":"en","type":"article","venue":"Journal of International Crisis and Risk Communication Research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Mode choice; Likert scale; Public transport; Ordered logit; Variables; Scale (ratio); Psychology; Stress (linguistics); Travel behavior; Mode (computer interface); Population; Social psychology; Geography; Transport engineering; Engineering; Environmental health; Statistics; Medicine; Computer science; Mathematics; Developmental psychology","score_opus":0.24053170008019617,"score_gpt":0.4879391391857231,"score_spread":0.24740743910552696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2622927566","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9809667,0.0023766796,0.0001664063,0.013344518,0.00006257851,0.00010766296,0.000028268969,0.0000053726944,0.0029418226],"genre_scores_gemma":[0.9964671,0.0027279265,0.0003692308,0.000025716723,0.00026279825,0.000003048023,0.000009654365,0.000005686158,0.00012881984],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970298,0.0013483994,0.0004150503,0.00009654132,0.00095711165,0.00015309047],"domain_scores_gemma":[0.99436474,0.0036167384,0.00032380543,0.00025670094,0.001269923,0.00016808552],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007212706,0.00006291108,0.00013002101,0.00016603825,0.0011663587,0.00031006522,0.00092779315,0.00007461068,0.000019833988],"category_scores_gemma":[0.0025923012,0.000043086868,0.0000456987,0.00023527355,0.00051160745,0.000489283,0.00014349517,0.0009547631,0.0000013430858],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018440534,0.000034312045,0.9858562,0.000004076024,0.000033759246,4.46656e-7,0.008290679,0.000019049638,8.2501384e-7,0.0030181252,0.0012600593,0.0014640747],"study_design_scores_gemma":[0.00033527697,0.000028157927,0.95599633,0.00005326266,0.000021176578,7.598344e-7,0.0278559,0.00021388211,0.000010579052,0.011595414,0.0038404763,0.00004876187],"about_ca_topic_score_codex":0.011272337,"about_ca_topic_score_gemma":0.0048333253,"teacher_disagreement_score":0.029859798,"about_ca_system_score_codex":0.00009077367,"about_ca_system_score_gemma":0.00015904263,"threshold_uncertainty_score":0.9953117},"labels":[],"label_agreement":null},{"id":"W2623745478","doi":"10.1016/j.jtrangeo.2017.04.012","title":"Constructing a routable retrospective transit timetable from a real-time vehicle location feed and GTFS","year":2017,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":84,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Transit (satellite); Transport engineering; Reliability (semiconductor); Computer science; Public transport; Automatic vehicle location; Engineering; Telecommunications; Global Positioning System","score_opus":0.010580732912415867,"score_gpt":0.2577474663837406,"score_spread":0.2471667334713247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2623745478","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9891642,0.0003785648,0.00046222567,0.000768706,0.00023927593,0.00017365947,0.00005142062,0.000032898362,0.008729101],"genre_scores_gemma":[0.9975986,0.00023779318,0.0016996292,0.000021448566,0.00030126612,0.0000018122186,0.000008824502,0.000013399851,0.00011725477],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982601,0.00006454447,0.00055871863,0.00026398335,0.00052619854,0.0003264894],"domain_scores_gemma":[0.99830437,0.000055154942,0.0007213494,0.00027806842,0.00041077138,0.0002302899],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010895737,0.0001614564,0.0004895953,0.00015413274,0.0010841271,0.0002091559,0.0004329112,0.00014451476,0.00029052867],"category_scores_gemma":[0.000042323634,0.00014991876,0.00026700814,0.00024856257,0.0006719656,0.0014863099,0.0000060297757,0.00029149,0.0000029383373],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012787998,0.00007199555,0.9942311,0.000013145137,0.00013472787,0.000027093327,0.0025277887,0.000004286999,0.0010658733,0.00014474127,0.000023701115,0.0016276761],"study_design_scores_gemma":[0.00094067917,0.00006443852,0.99328953,0.0001006981,0.0002678588,0.000001850281,0.0009711751,0.000023355475,0.00043173553,0.0032494804,0.0004861937,0.00017298467],"about_ca_topic_score_codex":0.016932696,"about_ca_topic_score_gemma":0.0052646277,"teacher_disagreement_score":0.011668069,"about_ca_system_score_codex":0.00005315131,"about_ca_system_score_gemma":0.00018305307,"threshold_uncertainty_score":0.98961365},"labels":[],"label_agreement":null},{"id":"W2624628594","doi":"10.1016/j.aap.2017.05.003","title":"Bicycle-vehicle interactions at mid-sections of mixed traffic streets: Examining passing distance and bicycle comfort perception","year":2017,"lang":"en","type":"article","venue":"Accident Analysis & Prevention","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":67,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Traffic calming; Transport engineering; Poison control; Pedestrian; Engineering; Simulation; Medicine","score_opus":0.0441365225788911,"score_gpt":0.35671921476703694,"score_spread":0.3125826921881458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2624628594","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959873,0.000078372876,0.0025423886,0.00025322085,0.00018766726,0.0001718002,0.0000021170679,0.00005043269,0.00072672183],"genre_scores_gemma":[0.99787843,0.00006827724,0.00020869718,0.0000041440594,0.00009638543,0.0000168199,0.00006420658,0.000008300105,0.0016547372],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984803,0.00016518339,0.00045355587,0.00035964602,0.00032678086,0.00021450383],"domain_scores_gemma":[0.9987634,0.000070022405,0.0005703492,0.0004065263,0.00009689496,0.00009284994],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0006594307,0.00012255972,0.00027918248,0.00022410163,0.0021020987,0.00026761874,0.00026142172,0.00007807052,0.00051614165],"category_scores_gemma":[0.00008202784,0.00012856266,0.00026627706,0.00040679568,0.00027410284,0.0014084722,0.000060004288,0.000111063986,0.0000058415976],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015349084,0.00011041843,0.9783495,0.000003885852,0.00020039846,6.8458354e-7,0.0018996812,0.00016064479,0.0013860604,0.000025792431,0.000022038392,0.017825566],"study_design_scores_gemma":[0.00021539928,0.000014124981,0.99365,0.00004693882,0.00088824815,1.453717e-7,0.0031878504,0.001124835,0.00025720568,0.00036499757,0.000119757155,0.00013049494],"about_ca_topic_score_codex":0.0039869538,"about_ca_topic_score_gemma":0.38930863,"teacher_disagreement_score":0.38532168,"about_ca_system_score_codex":0.00018629462,"about_ca_system_score_gemma":0.000035275527,"threshold_uncertainty_score":0.999197},"labels":[],"label_agreement":null},{"id":"W2624984233","doi":"10.1177/0042098017708985","title":"Telecommuting and sustainable travel: Reduction of overall travel time, increases in non-motorised travel and congestion relief?","year":2017,"lang":"en","type":"article","venue":"Urban Studies","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":157,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Telecommuting; Travel time; Travel behavior; TRIPS architecture; Transport engineering; Business; Traffic congestion; Work (physics); Journey to work; Travel survey; Demographic economics; Economics; Engineering; Public transport","score_opus":0.02283958177963598,"score_gpt":0.30688115526671494,"score_spread":0.284041573487079,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2624984233","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99111086,0.002576205,0.000008887516,0.000296368,0.00006696895,0.00036674447,0.000006626948,0.000014879356,0.0055524586],"genre_scores_gemma":[0.9963322,0.00089970627,0.00009108344,0.000008408346,0.00013255529,0.00001446265,0.0000026977125,0.000008597263,0.0025102405],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99883497,0.00008667597,0.00029838004,0.00027766448,0.00017980339,0.0003225111],"domain_scores_gemma":[0.9992206,0.00013185087,0.00022823332,0.00019102017,0.00016356933,0.00006473635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001074927,0.00013706312,0.00037916013,0.000084168285,0.0010521573,0.00008168016,0.00014500732,0.00009189651,0.000009660323],"category_scores_gemma":[0.0005263088,0.00012983497,0.00003607992,0.00008868497,0.00086974964,0.000491776,0.000059048554,0.00012644783,5.353302e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016358141,0.00021546875,0.9518817,0.00031335707,0.000086410735,0.000014461026,0.038164824,0.0000010146593,0.0025222136,0.0021819933,0.00097497716,0.0034799816],"study_design_scores_gemma":[0.00070708396,0.000067040324,0.9713735,0.00010141348,0.000043210453,5.216427e-7,0.024824454,0.000021106202,0.0005090005,0.002126712,0.000080763726,0.00014522094],"about_ca_topic_score_codex":0.0133765545,"about_ca_topic_score_gemma":0.0017785132,"teacher_disagreement_score":0.019491756,"about_ca_system_score_codex":0.00007626259,"about_ca_system_score_gemma":0.00006427402,"threshold_uncertainty_score":0.99319345},"labels":[],"label_agreement":null},{"id":"W2625359810","doi":"10.1108/ijlbe-03-2017-0012","title":"The right to walk in cities, a comparative review of Macau, Lisbon and Las Vegas","year":2017,"lang":"en","type":"review","venue":"International Journal of Law in the Built Environment","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Concordia University","keywords":"Walkability; Originality; Attractiveness; Pedestrian; Value (mathematics); Stakeholder; Business; Public relations; Built environment; Marketing; Political science; Transport engineering; Engineering; Civil engineering; Creativity; Psychology; Computer science","score_opus":0.11883080836166542,"score_gpt":0.428676590864882,"score_spread":0.3098457825032166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2625359810","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00046722664,0.98701197,0.000003725395,0.0023773885,0.00029854054,0.00048284233,0.000029500414,8.1050837e-7,0.009328001],"genre_scores_gemma":[0.006627078,0.99259,0.0000417899,0.00020149867,0.00020624718,0.000021594411,0.0000045047013,0.000005423512,0.00030185535],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9973974,0.00049444556,0.0009500576,0.0001404992,0.0008723199,0.00014523581],"domain_scores_gemma":[0.99818504,0.00048356413,0.0010020933,0.0002329445,0.000044203247,0.00005217806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029112382,0.00015446095,0.00073532516,0.00006604919,0.00013448064,0.000084751795,0.0017109256,0.00007263511,0.000103317885],"category_scores_gemma":[0.00008395656,0.00008140261,0.00022296586,0.000049602175,0.00049730187,0.00015241186,0.00008704864,0.00038393008,0.000005327624],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018986649,0.0009599381,0.005268584,0.008912175,0.0008869139,0.00053645234,0.022765178,0.000018165334,0.0000011914243,0.059097808,0.003447241,0.8979165],"study_design_scores_gemma":[0.00011383759,0.000028233828,0.0011386328,0.020186923,0.00007584212,0.000008150219,0.0000978541,1.9530538e-7,8.3055943e-7,0.001562859,0.9767068,0.000079858306],"about_ca_topic_score_codex":0.0008587429,"about_ca_topic_score_gemma":0.002697851,"teacher_disagreement_score":0.97325957,"about_ca_system_score_codex":0.00029011173,"about_ca_system_score_gemma":0.00013825254,"threshold_uncertainty_score":0.33195022},"labels":[],"label_agreement":null},{"id":"W2626288653","doi":"10.24095/hpcdp.37.6.01","title":"Neighbourhood built environment characteristics associated with different types of physical activity in Canadian adults","year":2017,"lang":"en","type":"article","venue":"Health Promotion and Chronic Disease Prevention in Canada","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Public Health Agency of Canada","funders":"Canadian Institutes of Health Research","keywords":"Neighbourhood (mathematics); Recreation; Physical activity; Geography; Built environment; Odds; Demography; Population; Walkability; Psychology; Mathematics; Medicine; Statistics; Sociology; Engineering; Physical therapy","score_opus":0.022520146600176556,"score_gpt":0.30591721215933987,"score_spread":0.28339706555916333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2626288653","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99724317,0.00006345206,0.000006345775,0.0019791063,0.000057917732,0.00042303914,0.000092420676,0.0000035962482,0.00013097204],"genre_scores_gemma":[0.99974024,0.0000827313,7.1332494e-7,0.000013449846,0.00003006829,0.000028568882,0.000033055818,0.0000043781624,0.00006682018],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989893,0.00014664815,0.00015558187,0.00018392169,0.00022727836,0.00029731105],"domain_scores_gemma":[0.9992061,0.000015729127,0.00022466389,0.00014769509,0.000016444656,0.00038934342],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020952713,0.00007859894,0.00017555659,0.000034442204,0.00027268042,0.000020745332,0.000098842924,0.000026360072,0.00012418392],"category_scores_gemma":[0.00003855491,0.00007284368,0.000019606163,0.00003736409,0.000089546105,0.0001349683,0.000010656045,0.00010163409,2.1246856e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027489372,0.00034439005,0.9810769,0.00014175347,0.000005247007,0.0000046076616,0.00028330344,0.0000040945843,7.049279e-7,0.000109117995,0.0000043497366,0.017998045],"study_design_scores_gemma":[0.00054395304,0.00006072397,0.9979359,0.00034538328,0.000007283339,1.2058852e-8,0.00006233758,0.0007776014,0.0000035040969,0.00014083018,0.00005173071,0.00007077452],"about_ca_topic_score_codex":0.9960587,"about_ca_topic_score_gemma":0.99995863,"teacher_disagreement_score":0.017927272,"about_ca_system_score_codex":0.0027148498,"about_ca_system_score_gemma":0.0080861375,"threshold_uncertainty_score":0.9975371},"labels":[],"label_agreement":null},{"id":"W2626308890","doi":"10.24095/hpcdp.37.6.01f","title":"Caractéristiques de l’environnement bâti du quartier associées à différents types d’activité physique chez les adultes canadiens","year":2017,"lang":"fr","type":"article","venue":"Promotion de la santé et prévention des maladies chroniques au Canada","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"Canadian Institutes of Health Research","keywords":"Humanities; Physics; Geography; Art","score_opus":0.014973506203039893,"score_gpt":0.29492365583501606,"score_spread":0.2799501496319762,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2626308890","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9527137,0.002226452,0.0006403131,0.00398204,0.00087162375,0.00051557866,0.0002713231,0.000108030414,0.03867092],"genre_scores_gemma":[0.97761077,0.0044176774,0.0006063357,0.00012486966,0.0008700805,0.00013534854,0.000092987575,0.000053813095,0.016088134],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99530756,0.0016680717,0.0006294793,0.0006497819,0.0005998625,0.0011452242],"domain_scores_gemma":[0.9975949,0.00027586104,0.0009239692,0.00049696484,0.00024405362,0.00046428049],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002251176,0.00047964838,0.00054869853,0.0000692289,0.0025513142,0.0005072374,0.00064877194,0.00039452585,0.0051534916],"category_scores_gemma":[0.00055805745,0.00052231323,0.00028278783,0.0001278216,0.002067198,0.0013051535,0.00010082007,0.0005488531,0.0000048844195],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035956167,0.0005829496,0.93764955,0.00089188304,0.00025340996,0.000085275824,0.01131124,0.000035975365,0.00021865334,0.0033258523,0.0056948303,0.039914425],"study_design_scores_gemma":[0.0004337672,0.00015330822,0.9465856,0.0010030617,0.00020982986,0.000005920072,0.0016510932,0.00039501805,0.0037992492,0.0027592129,0.04244486,0.00055908895],"about_ca_topic_score_codex":0.91408074,"about_ca_topic_score_gemma":0.99857354,"teacher_disagreement_score":0.084492795,"about_ca_system_score_codex":0.0052038585,"about_ca_system_score_gemma":0.0032147225,"threshold_uncertainty_score":0.99972284},"labels":[],"label_agreement":null},{"id":"W2626867734","doi":"10.17269/cjph.108.5758","title":"Pathways to policy: Lessons learned in multisectoral collaboration for physical activity and built environment policy development from the Coalitions Linking Action and Science for Prevention (CLASP) initiative","year":2017,"lang":"en","type":"review","venue":"Canadian Journal of Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Canadian Partnership Against Cancer","funders":"Health Canada","keywords":"Built environment; General partnership; Public policy; Public relations; Political science; Policy analysis; Urban planning; Public health; Business; Environmental planning; Public administration; Engineering; Medicine; Geography; Civil engineering; Nursing","score_opus":0.5526433891978237,"score_gpt":0.5242853828908265,"score_spread":0.028358006306997252,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2626867734","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3514892,0.4811461,0.0135066565,0.13872585,0.0009012745,0.010376098,0.0037233776,0.000020896145,0.00011056197],"genre_scores_gemma":[0.64081573,0.3556336,0.0013571758,0.00024494616,0.0015634504,0.00022151733,0.00009571156,0.000023849712,0.000044048356],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99824905,0.00037173755,0.00037668616,0.00027129395,0.00023809733,0.0004931048],"domain_scores_gemma":[0.99772394,0.0003322667,0.0007458117,0.00013125867,0.00017240884,0.0008943212],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0032786953,0.00014313606,0.00052177336,0.00055421214,0.002121174,0.00049214205,0.0003042263,0.00010858914,0.0000020775142],"category_scores_gemma":[0.001380206,0.00011701453,0.00007989858,0.0004698542,0.00040868286,0.0007448868,0.00001706705,0.00024345687,2.2914045e-7],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003750507,0.00003186,0.00050714373,0.0002481667,0.000015724105,3.5032815e-7,0.019006506,5.826322e-7,9.4219104e-7,0.0016293417,0.000016274545,0.97853935],"study_design_scores_gemma":[0.00033424576,0.0001328512,0.046864565,0.0013477652,0.00003298283,6.199457e-7,0.0026321718,0.000013863048,0.0000014074725,0.0025783072,0.9458941,0.00016707841],"about_ca_topic_score_codex":0.048878428,"about_ca_topic_score_gemma":0.68350196,"teacher_disagreement_score":0.9783723,"about_ca_system_score_codex":0.0032730594,"about_ca_system_score_gemma":0.08672773,"threshold_uncertainty_score":0.99917793},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"not_applicable","genre":"review","about_ca_system":true,"about_ca_topic":true,"confidence":"medium"},{"model":"gpt","categories":[],"domain":null,"study_design":"design_other","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"medium"}],"label_agreement":"split"},{"id":"W2637185880","doi":"10.1016/j.jth.2017.05.256","title":"Transport and Child Well-Being: Case Study of Quebec City","year":2017,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"","keywords":"Destinations; Happiness; Psychology; Scale (ratio); Cognition; Mode of transport; Geography; Applied psychology; Business; Tourism; Transport engineering; Social psychology; Public transport; Engineering","score_opus":0.035549415529434164,"score_gpt":0.354051279286126,"score_spread":0.31850186375669187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2637185880","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99290186,0.00036437443,0.00010661347,0.0028552078,0.0003938462,0.00045993502,0.00001152707,0.000015865717,0.0028907591],"genre_scores_gemma":[0.99893737,0.00030084528,0.00012037113,0.00011732391,0.00029317467,0.0000016319021,0.0000016313664,0.000014430537,0.00021322306],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972003,0.00012557236,0.0012759533,0.00026326804,0.0007314103,0.00040349428],"domain_scores_gemma":[0.9973752,0.000042495467,0.0014165515,0.0004097096,0.00023049716,0.0005255732],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0029313401,0.00018877881,0.0007744621,0.00013175134,0.0016437188,0.0000417256,0.00053373293,0.00011514471,0.000127872],"category_scores_gemma":[0.000021082833,0.00016191424,0.0002200157,0.00012444961,0.00046701162,0.0008088875,0.0000058726246,0.0005054631,3.834336e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012868695,0.00086046295,0.945745,0.00013361833,0.00006148093,0.0015331283,0.049004026,0.0000033790595,0.0000019579977,0.00012371274,0.000019775978,0.0023847932],"study_design_scores_gemma":[0.0015289864,0.0004902209,0.9802687,0.00015353381,0.00012613994,0.000103141276,0.014777823,9.470641e-7,0.000014844298,0.00019153427,0.0021957008,0.00014839927],"about_ca_topic_score_codex":0.2444454,"about_ca_topic_score_gemma":0.6565682,"teacher_disagreement_score":0.41212282,"about_ca_system_score_codex":0.000091340946,"about_ca_system_score_gemma":0.00091310206,"threshold_uncertainty_score":0.999656},"labels":[],"label_agreement":null},{"id":"W2644472470","doi":"10.7721/chilyoutenvi.23.3.0001","title":"Urban School Travel: Exploring Children's Qualitative Narratives about Their Trip to School","year":2013,"lang":"en","type":"article","venue":"Children Youth and Environments","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Heart and Stroke Foundation of Canada","keywords":"Narrative; Qualitative research; Sociology; Mathematics education; Psychology; Pedagogy; Social science; Art","score_opus":0.03597476133848979,"score_gpt":0.27325345167851073,"score_spread":0.23727869034002094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2644472470","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99520993,0.00043272105,0.00015191815,0.00034197324,0.000119164855,0.0010560876,0.00012040414,0.000057688223,0.0025100973],"genre_scores_gemma":[0.9975273,0.00015607847,0.00018646505,0.00031464535,0.00039008667,0.00012067325,0.00008746281,0.000026861277,0.0011904357],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99780005,0.00024199467,0.00035492846,0.0006198417,0.00039236198,0.0005908451],"domain_scores_gemma":[0.99866265,0.000036945385,0.00010713856,0.00029761787,0.000013607911,0.0008820539],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00043409615,0.00030043785,0.00031767253,0.00009484495,0.000738019,0.0001940046,0.00037083038,0.00011741253,0.00094263745],"category_scores_gemma":[0.00008416095,0.00025431233,0.00010383543,0.0001977077,0.00039209475,0.0010461491,0.0000619522,0.00026768222,0.00038823127],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015643269,0.00007986423,0.77669764,0.000002073373,0.000054749064,2.1275822e-7,0.22133885,9.356149e-7,0.0001328972,0.000044701002,0.00028566676,0.0013467423],"study_design_scores_gemma":[0.0005251023,0.00006264364,0.93193775,0.000028731529,0.000020133513,1.3292916e-7,0.06631047,3.2301816e-7,0.00018471276,0.00042893237,0.00018147925,0.0003195676],"about_ca_topic_score_codex":0.002282537,"about_ca_topic_score_gemma":0.000061017116,"teacher_disagreement_score":0.1552401,"about_ca_system_score_codex":0.00009591507,"about_ca_system_score_gemma":0.000045645138,"threshold_uncertainty_score":0.99999094},"labels":[],"label_agreement":null},{"id":"W2651548815","doi":"10.1080/01441647.2017.1340358","title":"A systematic review of disability’s treatment in the active school travel and children’s independent mobility literatures","year":2017,"lang":"en","type":"review","venue":"Transport Reviews","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; Hospital for Sick Children; University of Toronto","keywords":"Disability studies; Agency (philosophy); Ethnic group; Social model of disability; Psychology; Perspective (graphical); Medical model of disability; Qualitative research; Sociology; Gender studies; Social science; Psychiatry","score_opus":0.0721629434031899,"score_gpt":0.4009117539963483,"score_spread":0.3287488105931584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2651548815","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0001517149,0.97597367,0.0000016705953,0.00008326909,0.00008405437,0.022145957,0.00035249486,0.000017197857,0.0011899892],"genre_scores_gemma":[0.0009785658,0.99544567,0.000015215759,0.00007007977,0.00010977832,0.0029164793,0.00024615473,0.000025494757,0.00019257999],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.99199814,0.0027110449,0.0031957505,0.00094223715,0.0006937505,0.0004590976],"domain_scores_gemma":[0.9953896,0.00034675337,0.0019394724,0.0020373424,0.00007668194,0.0002101559],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0070477542,0.00077388226,0.0073314873,0.0000792296,0.00033372833,0.000085019536,0.0014878745,0.0004143354,0.00018332545],"category_scores_gemma":[0.000488615,0.0003978368,0.0018857251,0.00042006097,0.00093215035,0.0003449154,0.000015832939,0.0006710493,0.000011378836],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005382571,0.00046777647,0.0034183785,0.8842237,0.0001335178,0.00000711331,0.0024824808,2.2662137e-9,6.584808e-9,0.00009391873,0.000010124939,0.10915758],"study_design_scores_gemma":[0.00017639158,0.00005427433,0.021460123,0.7747735,0.0052230493,0.0000045727998,0.000113921575,1.45802e-8,7.7020424e-8,0.00006994232,0.19770807,0.0004160692],"about_ca_topic_score_codex":0.003618338,"about_ca_topic_score_gemma":0.010820772,"teacher_disagreement_score":0.19769794,"about_ca_system_score_codex":0.00046539982,"about_ca_system_score_gemma":0.00068083586,"threshold_uncertainty_score":0.99984735},"labels":[],"label_agreement":null},{"id":"W2666402525","doi":"10.5198/jtlu.2017.980","title":"Transit accessibility, land development and socioeconomic priority: A typology of planned station catchment areas in the Greater Toronto and Hamilton Area","year":2017,"lang":"en","type":"article","venue":"Journal of Transport and Land Use","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"University of Toronto Scarborough; University of Toronto","keywords":"Catchment area; Redevelopment; Socioeconomic status; Land use; Environmental planning; Transport engineering; Drainage basin; Geography; Typology; Transit (satellite); Land-use planning; Unavailability; Business; Public transport; Civil engineering; Population; Engineering; Cartography; Environmental health","score_opus":0.03941494118102108,"score_gpt":0.3077067272800194,"score_spread":0.26829178609899834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2666402525","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985805,0.0004062372,0.0000220395,0.00056445267,0.000063295716,0.00015543382,0.000016366794,0.0000023382527,0.00018930018],"genre_scores_gemma":[0.9991912,0.00058404246,0.00010352829,0.000039654456,0.0000398797,0.0000018956723,0.0000051981697,0.0000032492158,0.000031328607],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999143,0.000050814207,0.00038649185,0.00013505599,0.00014345022,0.0001411904],"domain_scores_gemma":[0.99946153,0.00005652142,0.0002569205,0.0001039355,0.00004523017,0.000075831],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009337722,0.000094332376,0.0002737023,0.000031922755,0.0002720763,0.000084171195,0.00015421303,0.00008360773,0.000024283918],"category_scores_gemma":[0.0000072797966,0.00006054293,0.000035771944,0.000012389915,0.0002372258,0.00065371563,0.000004700151,0.00010478502,5.2154217e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028797297,0.00005295242,0.9582447,0.00004176775,0.00002783745,0.000017984708,0.03982041,4.9158405e-7,0.000009712556,0.000025491428,0.0000048702927,0.001465798],"study_design_scores_gemma":[0.0010107167,0.000075700016,0.99578154,0.000040480194,0.000054454893,0.0000032731327,0.0018738916,0.0000025847626,0.000035633802,0.0002881619,0.00075813173,0.00007542795],"about_ca_topic_score_codex":0.006697265,"about_ca_topic_score_gemma":0.18621054,"teacher_disagreement_score":0.17951328,"about_ca_system_score_codex":0.00003439249,"about_ca_system_score_gemma":0.00010519748,"threshold_uncertainty_score":0.9999172},"labels":[],"label_agreement":null},{"id":"W2672095965","doi":"10.3138/cart.52.2.5103","title":"Code Grey: Mapping Healthcare Service Deserts in Hamilton, Ontario and the Impact on Senior Populations","year":2017,"lang":"en","type":"article","venue":"Cartographica The International Journal for Geographic Information and Geovisualization","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"","keywords":"Downtown; Population; Health care; Inequality; Health services; Geography; Service (business); Healthcare service; Business; Gerontology; Economic growth; Medicine; Environmental health; Marketing; Economics","score_opus":0.04438924649320958,"score_gpt":0.37325696144883075,"score_spread":0.32886771495562117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2672095965","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9714727,0.00012105751,0.001099809,0.025233403,0.00077790127,0.0006668053,0.000041184565,0.00002170867,0.00056547683],"genre_scores_gemma":[0.99711746,0.0007812069,0.00004678591,0.0017146957,0.00015376857,0.00003794906,0.00010058191,0.000005617997,0.00004193421],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985288,0.0001282245,0.0005033426,0.00012287333,0.00048929185,0.000227492],"domain_scores_gemma":[0.9980663,0.00014035086,0.0005379109,0.00019259617,0.0009591255,0.000103723534],"candidate_categories":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0021057643,0.0001385589,0.00015727035,0.00039633407,0.003082485,0.001442213,0.0005063587,0.00010226189,0.000025025785],"category_scores_gemma":[0.00024302633,0.000083506115,0.00013167792,0.00027157474,0.00039312147,0.001657188,0.000035608533,0.00027403948,7.8984874e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032978467,0.000025329678,0.91705287,0.000013057669,0.00006265901,7.9322905e-7,0.029769458,0.0001562211,9.557925e-7,0.0464257,0.00014896251,0.006014233],"study_design_scores_gemma":[0.0017507633,0.0000314608,0.94283485,0.00008080297,0.000021975555,0.000007869439,0.0031472757,0.0024895587,0.0000012815442,0.027206352,0.022302384,0.00012541573],"about_ca_topic_score_codex":0.05976514,"about_ca_topic_score_gemma":0.32884726,"teacher_disagreement_score":0.26908213,"about_ca_system_score_codex":0.000086635475,"about_ca_system_score_gemma":0.0001777835,"threshold_uncertainty_score":0.9995944},"labels":[],"label_agreement":null},{"id":"W267343212","doi":"","title":"Population Synthesis for Microsimulating Urban Residential Mobility","year":2010,"lang":"en","type":"article","venue":"Transportation Research Board 89th Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Microsimulation; Python (programming language); Population; Computer science; Operations research; Transport engineering; Econometrics; Economics; Engineering","score_opus":0.06157314200149411,"score_gpt":0.42402141671680244,"score_spread":0.3624482747153083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W267343212","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98818797,0.0000895437,0.00085303176,0.0022636335,0.0007156925,0.0043778727,0.0009845453,0.0004661359,0.0020615875],"genre_scores_gemma":[0.989991,0.000058938276,0.0047153244,0.00004952103,0.0012424223,0.0014846614,0.0007758163,0.0001247463,0.0015575562],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9864648,0.0018033382,0.0018436391,0.0018054153,0.0053111566,0.0027716395],"domain_scores_gemma":[0.9860016,0.0051861396,0.00036837245,0.00094371446,0.006385765,0.0011144077],"candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.020563664,0.0004975955,0.0007430621,0.0012807188,0.005145436,0.0005996594,0.0013564676,0.0008235444,0.0012251064],"category_scores_gemma":[0.0041473377,0.00054365373,0.00053280615,0.0027918785,0.002204989,0.0019355771,0.000015973434,0.0027380073,0.00007179422],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016149312,0.0006653503,0.94022006,0.0005929625,0.000083340296,0.00003128159,0.020967102,0.00019749199,0.010316185,0.016234685,0.0040113777,0.005065256],"study_design_scores_gemma":[0.0012042917,0.00020330153,0.9485218,0.00015545229,0.00007289552,5.1146046e-8,0.010281471,0.00016018363,0.003737003,0.006356022,0.028668301,0.0006392389],"about_ca_topic_score_codex":0.11225826,"about_ca_topic_score_gemma":0.39410335,"teacher_disagreement_score":0.28184506,"about_ca_system_score_codex":0.00035192576,"about_ca_system_score_gemma":0.0011963127,"threshold_uncertainty_score":0.9997015},"labels":[],"label_agreement":null},{"id":"W2678198677","doi":"10.1016/j.jth.2017.05.324","title":"Gender Trends in Cycling over Time: An Observational Study in Vancouver, British Columbia","year":2017,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Cycling; Observational study; Geography; Demography; Population; Downtown; Medicine; Archaeology; Sociology","score_opus":0.14718755519975796,"score_gpt":0.41525658966284307,"score_spread":0.2680690344630851,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2678198677","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997822,0.00013539652,0.0000140938755,0.00032678052,0.00056029815,0.00020524835,0.00002118351,0.000010361641,0.0009046692],"genre_scores_gemma":[0.9984065,0.00007849221,0.00022848297,0.00019003177,0.0002981657,0.0000026771886,0.000008775147,0.00001213181,0.00077474007],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973679,0.00016724828,0.0010807862,0.00024148388,0.0007401133,0.00040247725],"domain_scores_gemma":[0.9986457,0.00003160125,0.0007099967,0.00022784487,0.00011516612,0.00026967298],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0037492202,0.00009278794,0.00047914323,0.00012332512,0.0006392443,0.0002001107,0.00055844575,0.00009520944,0.0009337727],"category_scores_gemma":[0.000029547458,0.00012736478,0.00012411638,0.00024474622,0.00012317854,0.0015410766,0.0000053050517,0.0004456659,6.1807805e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043994052,0.0009983752,0.98514783,0.000014787343,0.000010980169,0.00018224838,0.0057384507,0.000026727197,0.0000019175857,0.000004857586,0.00075518584,0.0070746313],"study_design_scores_gemma":[0.001570271,0.00015028009,0.9955083,0.000074693395,0.000012105945,9.151999e-7,0.00091351254,0.000020639402,1.4101606e-7,0.00047778327,0.0011526295,0.00011873319],"about_ca_topic_score_codex":0.2854446,"about_ca_topic_score_gemma":0.9790552,"teacher_disagreement_score":0.6936106,"about_ca_system_score_codex":0.00028439445,"about_ca_system_score_gemma":0.0010739471,"threshold_uncertainty_score":0.9999795},"labels":[],"label_agreement":null},{"id":"W2682463739","doi":"10.1177/0739456x17713619","title":"How Does Light Rail Transit (LRT) Impact Gentrification? Evidence from Fourteen US Urbanized Areas","year":2017,"lang":"en","type":"article","venue":"Journal of Planning Education and Research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":140,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Gentrification; Light rail transit; Geography; Economic geography; Transit (satellite); Transit-oriented development; Public transport; Transport engineering; Regional science; Civil engineering; Engineering","score_opus":0.13161608582021636,"score_gpt":0.4779985407815325,"score_spread":0.34638245496131614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2682463739","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96789885,0.0030966261,0.0001404019,0.027331276,0.00056037155,0.0001547078,0.000006862192,0.0000073387405,0.00080358697],"genre_scores_gemma":[0.9951749,0.0004525658,0.00026039462,0.0000204279,0.001271507,0.0000034247153,0.00000391521,0.000006182994,0.002806688],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99818254,0.00033009172,0.00024915475,0.00017837918,0.0007982579,0.00026160674],"domain_scores_gemma":[0.99788857,0.00038432964,0.00034009144,0.0002662173,0.0008090856,0.0003117309],"candidate_categories":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0029966221,0.00008185428,0.0001875974,0.00017915957,0.0015203748,0.0012797225,0.00061613193,0.00010114618,0.00015843462],"category_scores_gemma":[0.0015373995,0.00005197406,0.00009146316,0.00013333462,0.00029365267,0.0012548722,0.000015109199,0.00044167042,0.000003364095],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011932032,0.0001227133,0.967392,0.000015072111,0.00003912287,0.000008320512,0.021194626,0.0000010420795,0.0020657224,0.000037663987,0.004970308,0.0040340694],"study_design_scores_gemma":[0.00025966327,0.000044147353,0.9763691,0.0002636178,0.000025377285,0.0000016843182,0.0049721906,0.00000886991,0.0007161284,0.0018127041,0.015448343,0.00007817607],"about_ca_topic_score_codex":0.003212307,"about_ca_topic_score_gemma":0.00024787858,"teacher_disagreement_score":0.027310848,"about_ca_system_score_codex":0.00012165732,"about_ca_system_score_gemma":0.0014527738,"threshold_uncertainty_score":0.9997795},"labels":[],"label_agreement":null},{"id":"W2684912452","doi":"10.1108/s2044-994120170000009017","title":"Vancouver and the Walker: The Evolution of the Walkable City","year":2017,"lang":"en","type":"book-chapter","venue":"Transport and sustainability","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Walkability; Neighbourhood (mathematics); Pedestrian; Environmental planning; Geography; Political science; Transport engineering; Built environment; Economic growth; Civil engineering; Engineering","score_opus":0.010405205623741191,"score_gpt":0.24838745051470246,"score_spread":0.23798224489096126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2684912452","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24854986,0.0053726695,0.00016318086,0.0076268655,0.00093063415,0.004289047,0.00012702831,0.00007549174,0.7328652],"genre_scores_gemma":[0.781934,0.00024378778,0.0000024331353,0.000034269975,0.00011212451,0.000015762676,0.0000029139892,0.000011617121,0.21764305],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979962,0.00015974135,0.0004744529,0.00046770257,0.00055407884,0.0003478133],"domain_scores_gemma":[0.99776286,0.00027242943,0.00037391848,0.0010751596,0.000426564,0.0000890721],"candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0034150651,0.00028268565,0.0005176538,0.000024399615,0.0026298957,0.00005531694,0.000789113,0.0003540101,0.00020081432],"category_scores_gemma":[0.00014625453,0.00013303215,0.00034817186,0.000042858712,0.0093449745,0.00022060673,0.000055993118,0.0006762307,3.5127792e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040638217,0.000052485393,0.63219714,0.00050355087,0.000097844415,0.000004173366,0.014967574,0.0000030937872,2.701407e-7,0.34746107,0.0005056575,0.0038007398],"study_design_scores_gemma":[0.00058290217,0.000014621767,0.33064318,0.000044594653,0.00030924493,1.7253288e-7,0.002678567,0.00000649939,0.0000016492595,0.5185267,0.14698277,0.00020909673],"about_ca_topic_score_codex":0.028630152,"about_ca_topic_score_gemma":0.12881401,"teacher_disagreement_score":0.5333842,"about_ca_system_score_codex":0.00026385192,"about_ca_system_score_gemma":0.0009714609,"threshold_uncertainty_score":0.99866855},"labels":[],"label_agreement":null},{"id":"W2693438206","doi":"10.1016/j.jth.2017.05.307","title":"Does the Built Environment Explain Gender Gap in Cycling? a Study of Post-Secondary Students in Toronto, Canada","year":2017,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Cycling; TRIPS architecture; Travel behavior; Demography; Logistic regression; Demographic economics; Psychology; Geography; Transport engineering; Sociology; Engineering; Medicine; Economics","score_opus":0.03605969750912052,"score_gpt":0.35953056249565335,"score_spread":0.3234708649865328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2693438206","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951109,0.00085823936,0.000005115509,0.0025897843,0.00048689955,0.0005288257,0.000023768844,0.0000020620905,0.00039437297],"genre_scores_gemma":[0.9988575,0.00062086066,0.000034198536,0.00030511158,0.000114748764,0.000005375248,0.0000014510764,0.0000085167185,0.000052250085],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968959,0.00024128608,0.0011782565,0.0001918135,0.0011210298,0.00037171802],"domain_scores_gemma":[0.99839616,0.00006312969,0.00093929237,0.0003556876,0.000052295618,0.00019341528],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035879442,0.0001323506,0.00048823058,0.000048356454,0.00043067973,0.000029837296,0.0010966628,0.000056840207,0.00029869084],"category_scores_gemma":[0.00002433381,0.00007759865,0.00009080714,0.00004864994,0.00013667544,0.00045581802,0.000015114876,0.0004087474,1.6183978e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012123945,0.00085846544,0.9601028,0.000040854575,0.000027460692,0.00009401442,0.037129913,0.000020151703,0.000007672082,0.000008514826,0.000022149472,0.0015667632],"study_design_scores_gemma":[0.0012445583,0.00017959926,0.9571305,0.00005510959,0.000016282145,4.962408e-7,0.040295016,5.7130205e-7,0.000004542726,0.00009020657,0.0009019982,0.00008113252],"about_ca_topic_score_codex":0.97197247,"about_ca_topic_score_gemma":0.99901867,"teacher_disagreement_score":0.027046215,"about_ca_system_score_codex":0.0009480584,"about_ca_system_score_gemma":0.0023652515,"threshold_uncertainty_score":0.4195855},"labels":[],"label_agreement":null},{"id":"W2694391927","doi":"10.1080/13574809.2017.1337494","title":"Is New Urbanism changing the suburban development pattern? A case study of the Toronto region","year":2017,"lang":"en","type":"article","venue":"Journal of Urban Design","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Urbanism; New Urbanism; Urban design; Transport engineering; Geography; Implementation; Economic geography; Civil engineering; Transit-oriented development; Landscape urbanism; Urban planning; Environmental planning; Regional science; Architectural engineering; Architecture; Engineering; Archaeology","score_opus":0.10179128946146995,"score_gpt":0.33011991475976127,"score_spread":0.22832862529829132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2694391927","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99298155,0.0005796241,0.0033996545,0.001339027,0.00064075296,0.00052520883,4.937407e-7,0.0000067443743,0.0005269615],"genre_scores_gemma":[0.9962382,0.000011872417,0.00014773147,0.00013362193,0.0005477553,0.0000030824071,4.013388e-8,0.0000110046785,0.0029066901],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99771994,0.00039511034,0.0006606455,0.00016294973,0.00077432266,0.00028701473],"domain_scores_gemma":[0.9975103,0.00012584003,0.0013714577,0.0006360177,0.00022075404,0.00013564219],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002734001,0.00014190548,0.00028843345,0.00003833616,0.0018347125,0.00022308859,0.0013582172,0.00006914454,0.00010979878],"category_scores_gemma":[0.00013460909,0.00007645098,0.00018166099,0.00009920296,0.00017171104,0.00058484066,0.000068787514,0.00021522252,0.000001342563],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045247074,0.00028071762,0.6772574,0.000008366984,0.00011582727,0.0004679646,0.2939926,0.0000026075977,0.000028722263,0.000030177256,0.015380866,0.012389474],"study_design_scores_gemma":[0.002724318,0.00061096373,0.7917718,0.00028547275,0.00041252325,0.00024960944,0.17935987,0.000038672904,0.0016683191,0.0005984009,0.021799844,0.00048017636],"about_ca_topic_score_codex":0.010534545,"about_ca_topic_score_gemma":0.015310574,"teacher_disagreement_score":0.11463275,"about_ca_system_score_codex":0.00020237871,"about_ca_system_score_gemma":0.0005719737,"threshold_uncertainty_score":0.99946475},"labels":[],"label_agreement":null},{"id":"W2695462228","doi":"10.1016/j.jth.2017.05.305","title":"Challenges in Planning for Active and Sustainable School Transportation- Perspectives from Greater Toronto and Hamilton Area, Canada","year":2017,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"TRIPS architecture; Thematic analysis; Public relations; Stakeholder; Enforcement; Sustainable transport; Business; Sustainability; Qualitative research; Environmental planning; Political science; Sociology; Geography; Engineering; Transport engineering","score_opus":0.05518560771738919,"score_gpt":0.34661049765470164,"score_spread":0.29142488993731247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2695462228","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98149234,0.012535904,0.00007806601,0.0046246415,0.00011699531,0.00032890725,0.000070822374,0.000005271688,0.0007470297],"genre_scores_gemma":[0.99457556,0.0047829296,0.00028980064,0.000067516805,0.00016813121,0.00000665114,0.000006340414,0.00000936113,0.000093713104],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986411,0.00004124102,0.00042038277,0.00023767965,0.00027396795,0.00038563984],"domain_scores_gemma":[0.99888134,0.00007219874,0.0004288048,0.00012574207,0.00017535052,0.00031655337],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007600288,0.000126278,0.00039680046,0.000041987118,0.0007515423,0.00005045161,0.00018962448,0.000075765754,0.000034878474],"category_scores_gemma":[0.000028198292,0.00011310703,0.0000543562,0.000022853872,0.00013827393,0.0010878234,0.0000015715515,0.00018252115,1.4689607e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039915464,0.000048197064,0.8811663,0.00012409245,0.000041566676,0.00008085539,0.114132434,0.000005059703,0.000004440149,0.0003316125,0.00005291545,0.0036133896],"study_design_scores_gemma":[0.0008315583,0.000094759045,0.87682515,0.00013888125,0.000024386882,5.5937403e-7,0.11733651,0.0000017311463,0.000009050901,0.00073872163,0.003898912,0.00009979878],"about_ca_topic_score_codex":0.848831,"about_ca_topic_score_gemma":0.9882195,"teacher_disagreement_score":0.13938849,"about_ca_system_score_codex":0.0005314735,"about_ca_system_score_gemma":0.0016561452,"threshold_uncertainty_score":0.57803315},"labels":[],"label_agreement":null},{"id":"W2721189808","doi":"10.1016/j.jth.2017.05.336","title":"Factors Contributing to Winter Cycling Among Students and Employees Attending a Downtown University Campus in Toronto, Canada","year":2017,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Cycling; Downtown; Geography; Logistic regression; Demography; Socioeconomics; Medicine; Sociology; Forestry","score_opus":0.029751992404614683,"score_gpt":0.34972718627904414,"score_spread":0.31997519387442946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2721189808","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99744993,0.00018066171,0.00010740728,0.0012368665,0.00040790768,0.00019580673,0.00002324688,0.0000069644907,0.00039123258],"genre_scores_gemma":[0.9995283,0.00011023024,0.00006109125,0.00009469881,0.00010829233,1.5970187e-7,0.0000016568599,0.000006206751,0.000089371286],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981762,0.00008151463,0.0005084017,0.0001810914,0.00053190195,0.0005208925],"domain_scores_gemma":[0.99863803,0.00006195634,0.00056713383,0.00013362,0.00010008138,0.0004991756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017822183,0.000121583835,0.00042911564,0.00005686186,0.0011415962,0.00007348367,0.00054800237,0.00006141028,0.00006929785],"category_scores_gemma":[0.00006362091,0.00010834627,0.00007889498,0.000060993112,0.000112037895,0.0007929488,0.00001990906,0.00025288836,7.212565e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005179874,0.000041940235,0.99051625,0.000021086971,0.0000211337,0.000080971775,0.008470673,0.0000056881026,0.000004620943,0.000012973822,0.000023415994,0.0007494369],"study_design_scores_gemma":[0.00051655615,0.00005481504,0.9867713,0.00022289119,0.000017423465,3.337755e-7,0.0114957895,6.0936856e-7,0.0000060320885,0.000008778101,0.0008032085,0.000102258586],"about_ca_topic_score_codex":0.95452344,"about_ca_topic_score_gemma":0.9979298,"teacher_disagreement_score":0.043406367,"about_ca_system_score_codex":0.0015423371,"about_ca_system_score_gemma":0.0010720484,"threshold_uncertainty_score":0.87803507},"labels":[],"label_agreement":null},{"id":"W2724447599","doi":"10.1093/geroni/igx004.5160","title":"CHANGES IN PHYSICAL ACTIVITY AMONG OLDER ADULTS AFTER A NEW GREENWAY DEVELOPMENT IN VANCOUVER, BC","year":2017,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia; Simon Fraser University","funders":"","keywords":"Downtown; TRIPS architecture; Geography; Physical activity; Built environment; Gerontology; Transport engineering; Medicine; Archaeology; Engineering; Civil engineering; Physical medicine and rehabilitation","score_opus":0.027257503717172036,"score_gpt":0.31550056410117877,"score_spread":0.2882430603840067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2724447599","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99726903,0.0000043801306,0.00008827177,0.00063271105,0.00022047474,0.00025651228,5.2685937e-7,0.000019331326,0.0015087797],"genre_scores_gemma":[0.9992344,0.0000011042505,0.00012627414,0.000053645446,0.0001389605,0.00005530823,0.0000016729243,0.000005325494,0.00038331343],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99905545,0.000034449946,0.00019559228,0.00024434357,0.00022738281,0.00024281481],"domain_scores_gemma":[0.999596,0.00002538911,0.0001464055,0.00015563183,0.00005142569,0.000025155943],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057870836,0.00008627738,0.00013507745,0.00023231741,0.00014645481,0.000075712785,0.00020199781,0.000061614,0.00004348309],"category_scores_gemma":[0.00008717304,0.000088630644,0.0000117758655,0.0006178761,0.00009228133,0.00075461675,0.000035485387,0.00018922356,0.0000028245313],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017580696,0.00008944758,0.8908691,0.000014614024,0.0000010263319,0.000007647494,0.023526497,0.000001279138,0.000019457311,0.00007171487,0.000021069442,0.0853606],"study_design_scores_gemma":[0.0005157254,0.0000025041097,0.9970569,0.00024203907,5.8821814e-7,5.5530305e-9,0.000583923,0.00005781127,0.0005672134,0.0004030546,0.00045677723,0.00011345222],"about_ca_topic_score_codex":0.022875978,"about_ca_topic_score_gemma":0.6906522,"teacher_disagreement_score":0.6677762,"about_ca_system_score_codex":0.0001909056,"about_ca_system_score_gemma":0.00016014019,"threshold_uncertainty_score":0.9836308},"labels":[],"label_agreement":null},{"id":"W2726091340","doi":"10.3311/pptr.9869","title":"Transportation in Brazil: Joinville","year":2017,"lang":"en","type":"article","venue":"Periodica Polytechnica Transportation Engineering","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Transport Canada","funders":"","keywords":"Investment (military); Transport engineering; Computer science; Business; Engineering; Political science; Law","score_opus":0.01466328466448224,"score_gpt":0.2918240411498969,"score_spread":0.27716075648541466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2726091340","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98901194,0.00017955207,0.0038370122,0.0018144677,0.00030947477,0.0004179966,0.0000671505,0.00037108446,0.003991309],"genre_scores_gemma":[0.9978321,0.00007976778,0.0014779818,0.000046941546,0.00010618142,0.000071175244,0.000105037405,0.000028678054,0.00025209022],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99822843,0.000017303091,0.00050228386,0.00038154362,0.00041556748,0.00045484173],"domain_scores_gemma":[0.99910164,0.000033634788,0.00016727792,0.00047118365,0.000051114937,0.00017514448],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043844766,0.00019540044,0.00026959437,0.0001758537,0.0007514222,0.00017721532,0.000575223,0.00020480737,0.00055275],"category_scores_gemma":[0.00007451827,0.00022712752,0.00013996997,0.00021060355,0.00026226073,0.0009294347,0.0000019724616,0.00029054275,0.000016060998],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006324338,0.0001890666,0.9586547,0.0001250881,0.000026745442,0.00008457086,0.013443965,0.0024391084,0.006122846,0.014167056,0.00016382243,0.0045198067],"study_design_scores_gemma":[0.00045773157,0.00001273872,0.9783469,0.00006512967,0.000020293144,8.077679e-8,0.00024264705,0.00020181068,0.00056876335,0.000119588636,0.019688597,0.00027576264],"about_ca_topic_score_codex":0.0039863843,"about_ca_topic_score_gemma":0.03399218,"teacher_disagreement_score":0.030005796,"about_ca_system_score_codex":0.00008477281,"about_ca_system_score_gemma":0.00013557155,"threshold_uncertainty_score":0.98363495},"labels":[],"label_agreement":null},{"id":"W2726791841","doi":"10.1093/geroni/igx004.3316","title":"PRESIDENTIAL SYMPOSIUM: THE IMPACT OF FALLS AND FEAR OF FALLING ON OLDER ADULTS’ MOBILITY: AN INTERNATIONAL PERSPECTIVE","year":2017,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Queen's University","funders":"","keywords":"Fear of falling; Context (archaeology); Gerontology; Cohort; Population; Poison control; Psychology; Human factors and ergonomics; Medicine; Geography; Environmental health","score_opus":0.025236532796062406,"score_gpt":0.372729726887269,"score_spread":0.3474931940912066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2726791841","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995704,0.000008985832,0.00008130098,0.0005096154,0.000107665655,0.0001775616,0.0000070197734,0.0000071537343,0.0033967225],"genre_scores_gemma":[0.99981785,0.000008097397,0.000041314837,0.00001068243,0.00008694363,0.0000039338574,0.000002862194,0.0000029816615,0.000025337504],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992648,0.000043528336,0.00024730276,0.0001490787,0.00021243365,0.00008286297],"domain_scores_gemma":[0.99913794,0.00004903633,0.00027363995,0.00018392637,0.00034374275,0.000011729706],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008098246,0.000049875667,0.00008528396,0.000102199076,0.0002014416,0.0000842483,0.00028113104,0.000034713044,0.00003147201],"category_scores_gemma":[0.0001832426,0.000038199032,0.000025972739,0.00015657618,0.00026282808,0.00059966644,0.000022337863,0.00009291023,1.7952327e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003928909,0.000084295425,0.95220304,0.00000727396,0.000013134287,3.3698606e-7,0.037286215,0.00007763266,0.0008419318,0.008520565,0.0000022520508,0.0009240381],"study_design_scores_gemma":[0.00025651554,0.00002039565,0.9893461,0.00007890511,0.000002696521,3.7075278e-8,0.006457229,0.00032314917,0.00078804744,0.0026848887,0.0000023099506,0.000039711736],"about_ca_topic_score_codex":0.022398261,"about_ca_topic_score_gemma":0.0020567568,"teacher_disagreement_score":0.037143078,"about_ca_system_score_codex":0.00007542503,"about_ca_system_score_gemma":0.000072248564,"threshold_uncertainty_score":0.98411167},"labels":[],"label_agreement":null},{"id":"W2728503385","doi":"10.7202/1050578ar","title":"The Transit-Oriented Development Model in Montreal (Canada): Mobilizing a Concept and Negotiating Urban Development at the Local and Metropolitan Scale","year":2017,"lang":"en","type":"article","venue":"Environnement urbain","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université du Québec à Montréal; Institut National de la Recherche Scientifique","funders":"","keywords":"Metropolitan area; Negotiation; Regional science; Scale (ratio); Transit (satellite); Urban planning; Economic geography; Geography; Political science; Transport engineering; Sociology; Environmental planning; Economic growth; Public transport; Engineering; Civil engineering; Social science; Cartography; Economics","score_opus":0.011390332769408297,"score_gpt":0.24012299587781225,"score_spread":0.22873266310840396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2728503385","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9901542,0.0021670298,0.0023389403,0.0016160469,0.00009938425,0.00052349723,0.000006873004,0.000014370703,0.003079669],"genre_scores_gemma":[0.99723655,0.000047993915,0.0004722493,0.00008914091,0.000037023685,0.000060086306,0.0000070739097,0.000010578956,0.0020393112],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99805737,0.00012624268,0.00039235226,0.00038797912,0.0005133749,0.00052269717],"domain_scores_gemma":[0.9992174,0.00014266296,0.00015185779,0.00030991572,0.000017942579,0.00016023555],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0010800138,0.0001866313,0.00018530621,0.000021663125,0.0051347744,0.00017947805,0.00036403065,0.00006160282,0.000026389465],"category_scores_gemma":[0.00004566985,0.00012589294,0.000023893552,0.000053444197,0.0011972734,0.00018475148,0.00013928516,0.00016474523,8.7718985e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006324216,0.000113633156,0.8687109,0.000019725661,0.000065873006,0.000013135038,0.0803246,0.00078746764,0.00004942152,0.005537081,0.0006616336,0.043653328],"study_design_scores_gemma":[0.0011974935,0.000019803269,0.9033235,0.0000454688,0.000028250175,3.6328314e-7,0.037482034,0.0077206655,0.00037750445,0.00022634775,0.049169376,0.0004092287],"about_ca_topic_score_codex":0.24111935,"about_ca_topic_score_gemma":0.9626388,"teacher_disagreement_score":0.7215195,"about_ca_system_score_codex":0.00089998764,"about_ca_system_score_gemma":0.00037552707,"threshold_uncertainty_score":0.9961604},"labels":[],"label_agreement":null},{"id":"W2729306810","doi":"10.1093/geroni/igx004.2670","title":"CHANGES IN DRIVING PATTERNS OF OLDER AUSTRALIANS: FINDINGS FROM THE CANDRIVE/OZCANDRIVE COHORT STUDY","year":2017,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"TRIPS architecture; Demography; Cohort; Cohort study; Medicine; Geography; Poison control; Injury prevention; Gerontology; Environmental health; Transport engineering; Engineering","score_opus":0.04264174896341281,"score_gpt":0.3455247301556024,"score_spread":0.3028829811921896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2729306810","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967673,0.0000046525497,0.00007033516,0.0019137738,0.00025488384,0.00046512115,0.000009898481,0.000012339093,0.0005017252],"genre_scores_gemma":[0.9996012,0.0000053671224,0.000019344234,0.00006830929,0.000105839164,0.000032389245,0.000009250662,0.000005026989,0.0001532705],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99891126,0.00007257686,0.00033997028,0.00021374326,0.00027650566,0.00018592969],"domain_scores_gemma":[0.99928564,0.000096160074,0.00023898575,0.00026921686,0.00009698417,0.000013012646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012917519,0.00007585518,0.00015398268,0.00012313285,0.00034363932,0.00011861833,0.00043129353,0.000048501493,0.00014132012],"category_scores_gemma":[0.00018367784,0.00006370231,0.000014297799,0.0003828234,0.00011901143,0.00033996667,0.00003761921,0.00016906101,9.2717477e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000018108226,0.00004866594,0.9624996,0.0000039002607,0.0000077294435,0.0000037595978,0.03643285,0.0000024380365,0.000093017145,0.00026459715,0.00001634415,0.00062524143],"study_design_scores_gemma":[0.00030941737,0.0000054120833,0.9880242,0.00014514329,0.000006044887,1.10877965e-8,0.010824435,0.00000832493,0.00022757667,0.0002976122,0.00007777037,0.00007410641],"about_ca_topic_score_codex":0.123199776,"about_ca_topic_score_gemma":0.5039969,"teacher_disagreement_score":0.38079712,"about_ca_system_score_codex":0.00008030471,"about_ca_system_score_gemma":0.000052634405,"threshold_uncertainty_score":0.88263893},"labels":[],"label_agreement":null},{"id":"W2729818655","doi":"10.18757/ejtir.2017.17.3.3205","title":"How bicycling sharing system usage is affected by land use and urban form: analysis from system and user perspectives","year":2017,"lang":"en","type":"article","venue":"European journal of transport and infrastructure research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"TRIPS architecture; Bike sharing; Transport engineering; Computer science; Mode (computer interface); Land use; Focus (optics); Maximization; Urban planning; Civil engineering; Engineering","score_opus":0.03912679042152335,"score_gpt":0.3148921753029071,"score_spread":0.27576538488138375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2729818655","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958298,0.002005401,0.0006030839,0.00032470367,0.000082717874,0.00017424049,0.00010924452,0.000022677803,0.0008480879],"genre_scores_gemma":[0.9985238,0.0005179699,0.00032568973,0.0000055881687,0.0003599219,6.260307e-7,0.000008377329,0.000021930424,0.00023615069],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997628,0.00040026812,0.00040260586,0.00043576627,0.0007274357,0.000405931],"domain_scores_gemma":[0.99839914,0.000110682115,0.00035673112,0.0003320657,0.0003858537,0.00041552933],"candidate_categories":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002903905,0.00019556806,0.0005067459,0.00030770982,0.0016907085,0.0016314968,0.00055110996,0.00008904023,0.000024951962],"category_scores_gemma":[0.00010054481,0.00014826488,0.00013791653,0.0002721071,0.00075521035,0.0016772714,0.000056496203,0.000643566,2.8514987e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000088134424,0.000012073544,0.98591816,0.000108888125,0.0003506537,0.00015650364,0.012144821,8.905711e-7,0.0004117573,0.00008910602,0.00012280668,0.00059622416],"study_design_scores_gemma":[0.0006621576,0.00006561218,0.9858046,0.000234858,0.00031223142,0.0000048959632,0.010918784,0.0000722259,0.0000575973,0.000024018953,0.001685775,0.00015725155],"about_ca_topic_score_codex":0.0013359978,"about_ca_topic_score_gemma":0.00049801916,"teacher_disagreement_score":0.00280336,"about_ca_system_score_codex":0.00007569608,"about_ca_system_score_gemma":0.00005707183,"threshold_uncertainty_score":0.99960893},"labels":[],"label_agreement":null},{"id":"W2729942296","doi":"","title":"Impacts of a new Greenway on older adult mobility: A mixed-methods analysis in Vancouver, BC","year":2017,"lang":"en","type":"dissertation","venue":"Summit (Simon Fraser University)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Simon Fraser University; Michael Smith Health Research BC","keywords":"Geography; Gerontology; Regional science; Medicine","score_opus":0.015241816469127801,"score_gpt":0.3082285226768313,"score_spread":0.2929867062077035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2729942296","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94060755,0.000103514656,0.00012530842,0.000041721603,0.00077836507,0.00053213304,0.00008000396,0.000056089593,0.057675347],"genre_scores_gemma":[0.9514009,0.00016680334,0.00032894817,0.000021514606,0.000092113085,0.0000014578941,0.00029552545,0.000021496142,0.04767124],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972443,0.00042864558,0.00042931497,0.00079988904,0.00060380803,0.00049405376],"domain_scores_gemma":[0.9975376,0.00021222256,0.00069868716,0.0008659633,0.00034827142,0.00033722227],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007324985,0.00036891748,0.0009155285,0.0014118509,0.0003889216,0.00006304154,0.0011825821,0.00070829276,0.00073886843],"category_scores_gemma":[0.00030785424,0.00040613482,0.0006772246,0.0022936226,0.00023361304,0.0005876045,0.000028462438,0.0005336292,0.000009210403],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039076738,0.00033077522,0.9762125,0.00013449862,0.00036147874,0.00005676559,0.0013225536,0.000019840705,0.0000018693304,0.0002507645,0.0036098387,0.017308371],"study_design_scores_gemma":[0.0018414714,0.0001251669,0.8129775,0.0004659626,0.0020422274,1.4425705e-10,0.13589963,0.000028103394,0.0012023761,0.0010520978,0.04347854,0.00088689715],"about_ca_topic_score_codex":0.19256656,"about_ca_topic_score_gemma":0.99508584,"teacher_disagreement_score":0.80251926,"about_ca_system_score_codex":0.00040226217,"about_ca_system_score_gemma":0.0010247622,"threshold_uncertainty_score":0.99983907},"labels":[],"label_agreement":null},{"id":"W2731280808","doi":"10.1093/geroni/igx004.5158","title":"COMMUNITY ENGAGED MODELS TO ENHANCE PHYSICAL AND SOCIAL DIMENSIONS OF HEALTH IN OLDER ADULTS","year":2017,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Intervention (counseling); Gerontology; Psychology; Meaning (existential); Affect (linguistics); Population; Scale (ratio); Presentation (obstetrics); Psychological intervention; Aging in place; Medicine; Geography; Environmental health","score_opus":0.07946275553193277,"score_gpt":0.3944962767254949,"score_spread":0.31503352119356215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2731280808","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944558,0.0000072551443,0.0004272725,0.004345173,0.000042924286,0.00017003313,0.000003190072,0.00001030181,0.0005380476],"genre_scores_gemma":[0.99960005,0.0000020604234,0.00013433014,0.00020409997,0.0000283071,0.0000068293907,0.0000041044404,0.0000026246407,0.000017606584],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9989652,0.000445679,0.0002567865,0.00009635638,0.00010783757,0.00012816231],"domain_scores_gemma":[0.9995223,0.00009603734,0.00016051612,0.00012807257,0.00007989525,0.00001315495],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0031635915,0.000041631978,0.00013360457,0.00009550335,0.0014666818,0.00002790628,0.00014864009,0.000026639476,0.0000022682798],"category_scores_gemma":[0.00017849816,0.00004071221,0.000008736509,0.00031718166,0.00013196825,0.00032846376,0.00003605616,0.00042515577,2.5718103e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015138972,0.00023777309,0.29918858,0.000050334336,0.0000017976563,2.8139806e-7,0.6570383,0.000018932411,0.000428841,0.0076713804,0.000040814353,0.035307847],"study_design_scores_gemma":[0.00022749585,0.0000066767757,0.975699,0.00013077224,5.5312506e-7,5.452375e-9,0.013827184,0.00022143696,0.00027827985,0.009518358,0.000031027997,0.00005921879],"about_ca_topic_score_codex":0.018647365,"about_ca_topic_score_gemma":0.0149410935,"teacher_disagreement_score":0.6765104,"about_ca_system_score_codex":0.000047157573,"about_ca_system_score_gemma":0.00006931785,"threshold_uncertainty_score":0.9998333},"labels":[],"label_agreement":null},{"id":"W2733462725","doi":"","title":"Household Vehicle Fleet Decision-making for an Integrated Land Use, Transportation and Environment Model","year":2013,"lang":"en","type":"dissertation","venue":"TSpace","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transport engineering; Engineering; Operations research; Environmental planning; Geography","score_opus":0.0459924554761456,"score_gpt":0.3404959742544223,"score_spread":0.2945035187782767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2733462725","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99319005,0.0001633189,0.0051590214,0.000039203358,0.00013301527,0.0007373442,0.00011108375,0.00007747308,0.0003894636],"genre_scores_gemma":[0.98906446,0.00015575031,0.004580074,0.000031975702,0.00006767314,0.000083249775,0.0009905528,0.000036160855,0.004990099],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9987813,0.00003234282,0.0002408051,0.00041171876,0.00029208095,0.00024171389],"domain_scores_gemma":[0.99936205,0.00013112366,0.00015363011,0.00017765489,0.000061518374,0.00011401804],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023834404,0.00019148058,0.00023579114,0.00006396598,0.00033727926,0.00017127485,0.00015997744,0.00030786387,0.000093681796],"category_scores_gemma":[0.000033664946,0.00017909742,0.0000686577,0.00008227428,0.00006554827,0.0005267846,0.0000017000883,0.00015747729,0.000002719407],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024207402,0.0010324875,0.36824054,0.00076121686,0.00023570648,0.000012491135,0.41729736,0.013556996,0.0035303554,0.0030141629,0.0049555157,0.18494244],"study_design_scores_gemma":[0.0018308284,0.0002772515,0.8808047,0.00079802796,0.00057606364,1.1122982e-7,0.048653472,0.029508352,0.00053977827,0.018525904,0.016629975,0.0018555073],"about_ca_topic_score_codex":0.0048995595,"about_ca_topic_score_gemma":0.05052582,"teacher_disagreement_score":0.5125642,"about_ca_system_score_codex":0.00006489699,"about_ca_system_score_gemma":0.00011788959,"threshold_uncertainty_score":0.9667996},"labels":[],"label_agreement":null},{"id":"W2734281404","doi":"10.7202/1050577ar","title":"Le TOD contre la ville durable? Utiliser le transport collectif pour perpétuer le suburbanisme dispersé dans le Grand Montréal","year":2017,"lang":"fr","type":"article","venue":"Environnement urbain","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.010254951788765595,"score_gpt":0.22685850756474993,"score_spread":0.21660355577598434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2734281404","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7262012,0.008023884,0.0015441942,0.04126863,0.0009772936,0.0011532197,0.00029715025,0.00011355589,0.22042093],"genre_scores_gemma":[0.7813217,0.00036314296,0.00019427808,0.00016463763,0.00040660525,0.00008147816,0.000066276385,0.00007146666,0.2173304],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9953498,0.0005130727,0.0008433217,0.0012133346,0.00082235114,0.0012581223],"domain_scores_gemma":[0.9975999,0.00015795187,0.00045462348,0.0011993493,0.00006796915,0.00052018533],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.0014575751,0.0006554498,0.0008412533,0.000080207705,0.006544642,0.0003989514,0.0013225105,0.00051295257,0.0017913007],"category_scores_gemma":[0.0000677694,0.00070992525,0.00061318814,0.0002201988,0.0029437258,0.0014784047,0.00009830673,0.000564155,0.00011961479],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005147871,0.00660238,0.6714954,0.00024152604,0.0006065596,0.000480621,0.039302185,0.00019932986,0.004364252,0.24802855,0.024975026,0.003189386],"study_design_scores_gemma":[0.007767778,0.00013246202,0.33916596,0.0001282516,0.00028334433,0.0000036434337,0.022325572,0.0003277287,0.001656451,0.004047051,0.62296784,0.0011939366],"about_ca_topic_score_codex":0.25191996,"about_ca_topic_score_gemma":0.29497615,"teacher_disagreement_score":0.5979928,"about_ca_system_score_codex":0.00026489104,"about_ca_system_score_gemma":0.0015422116,"threshold_uncertainty_score":0.9997697},"labels":[],"label_agreement":null},{"id":"W2734808967","doi":"10.1007/s40572-017-0148-x","title":"Policies to Promote Active Travel: Evidence from Reviews of the Literature","year":2017,"lang":"en","type":"review","venue":"Current Environmental Health Reports","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":177,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Robert Wood Johnson Foundation","keywords":"Cycling; Work (physics); Business; Government (linguistics); Population; Public economics; Active living; Transport engineering; Environmental planning; Environmental health; Physical activity; Medicine; Economics; Geography; Engineering","score_opus":0.20023454262222268,"score_gpt":0.472739220572968,"score_spread":0.27250467795074534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2734808967","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015504111,0.9911597,0.0000031268123,0.00027058081,0.001928367,0.004487426,0.0004214583,0.000014953423,0.00016402011],"genre_scores_gemma":[0.0017791862,0.996826,0.000037230435,0.00004625086,0.00051763054,0.00017199099,0.00015089373,0.000026920408,0.0004439031],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99560827,0.0006884559,0.0016185286,0.0008153592,0.0007646919,0.0005047039],"domain_scores_gemma":[0.9947404,0.00008484611,0.0032960675,0.0014890699,0.000011729513,0.0003778537],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0015347874,0.00043428846,0.0019166949,0.00006514404,0.00083032425,0.00008387593,0.00089683285,0.00024053837,0.0001754153],"category_scores_gemma":[0.00023334874,0.00027677265,0.00081663864,0.00019171525,0.0004838893,0.00032328558,0.00018686517,0.0006769659,0.00002223834],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000024873498,0.00010518707,0.0016648335,0.0052499333,0.0000141154715,0.000006150355,0.0073059797,1.3524347e-8,3.6884484e-7,0.0000018242471,0.0005407508,0.9851084],"study_design_scores_gemma":[0.000019148305,0.000021495454,0.013520239,0.055369366,0.00013233164,0.0000025577392,0.000058960075,1.3371714e-8,0.0000050062145,0.000068390415,0.9305833,0.00021916654],"about_ca_topic_score_codex":0.0017871859,"about_ca_topic_score_gemma":0.0006705754,"teacher_disagreement_score":0.9848892,"about_ca_system_score_codex":0.00075738237,"about_ca_system_score_gemma":0.0008165607,"threshold_uncertainty_score":0.99996847},"labels":[],"label_agreement":null},{"id":"W2735557509","doi":"","title":"Drivers of cycling demand and cycling futures in the Danish context.","year":2014,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Transport Canada","funders":"","keywords":"Cycling; Context (archaeology); Futures contract; Danish; Business; Geography; Finance","score_opus":0.014068377717238163,"score_gpt":0.2864058587365341,"score_spread":0.27233748101929595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2735557509","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9743718,0.00009488796,0.00035149805,0.00041482676,0.000059024656,0.00008868729,5.272295e-7,0.000011975176,0.024606792],"genre_scores_gemma":[0.9994943,0.000027305445,0.00010875935,0.0002121127,0.0000765916,0.0000011827115,5.53044e-7,0.0000017136324,0.00007744119],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99939084,0.000102006976,0.00013841731,0.00010942683,0.0001437878,0.00011550571],"domain_scores_gemma":[0.99961627,0.00021746696,0.000042394215,0.000079422,0.000017998645,0.000026424472],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010726376,0.000042160817,0.000096627664,0.00001910844,0.00018714307,0.00003266286,0.00015571427,0.00004287387,0.00004559249],"category_scores_gemma":[0.00007475913,0.000027452683,0.000026093887,0.00009152074,0.00021942984,0.00012702419,0.000008003577,0.000067196175,6.0880865e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000043517475,0.000017676271,0.9595141,0.000008195523,0.0000027480817,4.7680885e-7,0.020288186,0.0000032956539,0.00014776875,0.013319148,0.000051099832,0.006642967],"study_design_scores_gemma":[0.00031002588,0.0000159059,0.9393427,0.00002012628,0.000012461301,6.0767846e-8,0.049407985,0.000095149764,0.0003956971,0.008097541,0.0022178988,0.00008449955],"about_ca_topic_score_codex":0.004230108,"about_ca_topic_score_gemma":0.053763196,"teacher_disagreement_score":0.049533088,"about_ca_system_score_codex":0.000005424984,"about_ca_system_score_gemma":0.00001576449,"threshold_uncertainty_score":0.9635032},"labels":[],"label_agreement":null},{"id":"W2737392261","doi":"","title":"Portrait de la mobilité durable et de l'environnement bâti par arrondissement et par communauté. Ville de Sherbrooke","year":2011,"lang":"fr","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Art; Philosophy","score_opus":0.023565877729579045,"score_gpt":0.2931966178597837,"score_spread":0.26963074013020466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2737392261","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7374052,0.0020942392,0.0017242606,0.0029966831,0.00023410007,0.00048025048,0.000030655512,0.00011979958,0.25491485],"genre_scores_gemma":[0.9752037,0.0011658623,0.009100806,0.0023189497,0.000100693986,0.00012345292,0.000028136654,0.000041935637,0.011916445],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9955867,0.0013218034,0.00072279945,0.0005889885,0.00047411153,0.0013055955],"domain_scores_gemma":[0.99817866,0.0003221918,0.00020085326,0.00067929766,0.000044979188,0.0005739918],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005620867,0.00040469205,0.0004394528,0.000054158518,0.00068539166,0.00013320734,0.0008281156,0.0004046759,0.022477282],"category_scores_gemma":[0.00007061328,0.00039330733,0.00031650442,0.00028719511,0.0012336673,0.00055814045,0.000112651294,0.00057829084,0.00011371318],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004732571,0.002368271,0.8752879,0.00013818775,0.00012369698,0.0000467156,0.046822537,0.000058329122,0.0007016816,0.06966486,0.0035038705,0.0012366265],"study_design_scores_gemma":[0.0006633608,0.00017748818,0.8798348,0.0001522894,0.00017997672,0.000003152464,0.009443338,0.00014540208,0.0043264264,0.021514758,0.08300573,0.0005532919],"about_ca_topic_score_codex":0.07822428,"about_ca_topic_score_gemma":0.069475666,"teacher_disagreement_score":0.24299839,"about_ca_system_score_codex":0.0007116418,"about_ca_system_score_gemma":0.0009549063,"threshold_uncertainty_score":0.9998519},"labels":[],"label_agreement":null},{"id":"W2737635032","doi":"10.3390/su9071272","title":"Metrics of Urban Sustainability: A Case Study of Changing Downtowns in Thunder Bay, Canada","year":2017,"lang":"en","type":"article","venue":"Sustainability","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Downtown; Sustainability; Business; Geography; Diversification (marketing strategy); Sustainable development; Economic growth; Economic geography; Environmental planning; Economics; Marketing; Political science","score_opus":0.02259751821231651,"score_gpt":0.33080953676575653,"score_spread":0.30821201855344005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2737635032","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953232,0.00009178967,0.00002986321,0.0010165804,0.00016919634,0.0018934136,0.00001604821,0.00002219789,0.0014377057],"genre_scores_gemma":[0.9995371,0.0000016998694,0.000012379407,0.000010373567,0.00005117202,0.000045421006,0.0000012497226,0.000011024452,0.00032957605],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9965024,0.0006075484,0.000782819,0.00056918967,0.00075968506,0.0007783679],"domain_scores_gemma":[0.99528205,0.00035486466,0.0004978669,0.0014524731,0.0022261573,0.00018657585],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.005005858,0.00020495668,0.0005983705,0.0003033965,0.0010952783,0.00006970906,0.000834989,0.00013390156,0.000057540477],"category_scores_gemma":[0.008560403,0.00019975103,0.00011822981,0.0010944911,0.0009792746,0.00051687023,0.00022203295,0.0003214504,5.2410275e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006768108,0.0009871909,0.9523726,0.00044471785,0.00002083419,0.0006124234,0.04099453,0.000016822858,4.3615236e-7,0.0015956741,0.00001582377,0.0028712768],"study_design_scores_gemma":[0.0005722496,0.000113383365,0.58463013,0.000008641835,0.000033801934,9.288684e-7,0.4074543,0.000022339027,0.000018905264,0.006811258,0.00017523678,0.0001588415],"about_ca_topic_score_codex":0.9870463,"about_ca_topic_score_gemma":0.99411905,"teacher_disagreement_score":0.36774248,"about_ca_system_score_codex":0.0033317462,"about_ca_system_score_gemma":0.0072880257,"threshold_uncertainty_score":0.9997909},"labels":[],"label_agreement":null},{"id":"W27376967","doi":"10.1002/mabi.201600154","title":"MOBILITY STYLES AND ACCESSIBILITY IN NORTHERN ITALY: A FOCUS ON THE CITY OF TORINO","year":2013,"lang":"en","type":"article","venue":"Macromolecular Bioscience","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sample (material); Geography; Work (physics); Perception; Business; Transport engineering; Marketing; Demographic economics; Psychology; Engineering; Economics","score_opus":0.01805619753718529,"score_gpt":0.27721235031864105,"score_spread":0.25915615278145576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W27376967","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9927535,0.000084546184,0.000073638585,0.0014175762,0.000057011206,0.00058147876,0.0000079603415,0.000024019751,0.0050002476],"genre_scores_gemma":[0.9997376,0.00000986345,0.000063415144,0.000093520845,0.000016178237,0.000032355652,5.169808e-7,0.000004123013,0.000042424028],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981294,0.00023855938,0.00029180723,0.0004951599,0.0004958798,0.00034918747],"domain_scores_gemma":[0.9990404,0.00015903471,0.00010875127,0.00046804565,0.00011328253,0.00011047353],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015259142,0.00012598441,0.0001803281,0.00004961182,0.00030593065,0.00011749915,0.0006782202,0.00007553676,0.00014609126],"category_scores_gemma":[0.00042565147,0.00008540839,0.00006632997,0.00057050533,0.0016027233,0.00031298076,0.00009537231,0.00015045612,0.0000069067946],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006993557,0.00017165525,0.9878653,0.000010883985,0.0000020643574,0.000002384068,0.0013538987,5.3499e-7,0.0066371704,0.001671446,0.00000297097,0.0022746634],"study_design_scores_gemma":[0.00010066761,0.000037801427,0.9754656,0.000017072554,0.0000033288386,1.0337072e-7,0.0008359756,0.000027282254,0.011677513,0.011692036,0.00003347587,0.00010915967],"about_ca_topic_score_codex":0.016414933,"about_ca_topic_score_gemma":0.024909982,"teacher_disagreement_score":0.012399751,"about_ca_system_score_codex":0.00007195139,"about_ca_system_score_gemma":0.00013955214,"threshold_uncertainty_score":0.99288285},"labels":[],"label_agreement":null},{"id":"W2737912312","doi":"10.1089/trgh.2017.0003","title":"Acceptability and Feasibility of Using a Novel Geospatial Method to Measure Neighborhood Contexts and Mobility Among Transgender Women in New York City","year":2017,"lang":"en","type":"article","venue":"Transgender Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; Centers for Disease Control and Prevention; National Institutes of Health; National Institute of Mental Health; York University","keywords":"Global Positioning System; Transgender; Transgender women; Sample (material); Metropolitan area; Population; Gerontology; Medicine; Psychology; Applied psychology; Geography; Environmental health; Computer science; Men who have sex with men; Human immunodeficiency virus (HIV); Family medicine; Telecommunications","score_opus":0.19562731675451228,"score_gpt":0.4206568915364537,"score_spread":0.2250295747819414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2737912312","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9401624,0.00040379298,0.055393614,0.0011407095,0.00012817839,0.002062995,0.00013133667,0.00004728494,0.00052966725],"genre_scores_gemma":[0.9933047,0.000020785601,0.0063584354,0.00015536137,0.000085683365,0.000021647866,0.0000027436247,0.000020257768,0.000030378886],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9955356,0.0007071564,0.00096338004,0.0011082198,0.0006254387,0.0010601915],"domain_scores_gemma":[0.9972866,0.00017914013,0.00032991782,0.0008572623,0.00013364606,0.0012133972],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.008463189,0.0003357798,0.0010183326,0.00010263583,0.0009845658,0.00013032657,0.0005382682,0.0002784852,0.0002734472],"category_scores_gemma":[0.00023236392,0.0003336116,0.00013767656,0.00028595838,0.00081089966,0.0006734387,0.000041665713,0.00043175463,2.36529e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031701967,0.00043017464,0.8932588,0.00026958386,0.000025553347,5.103606e-7,0.08621463,0.000009835399,0.00018524309,0.00021262107,0.0000023778232,0.01907367],"study_design_scores_gemma":[0.0020086716,0.000100009995,0.988794,0.000043966975,0.000023461032,3.3866345e-7,0.0046565654,0.000092770315,0.000082120896,0.0038656716,0.000043483135,0.0002889201],"about_ca_topic_score_codex":0.15189958,"about_ca_topic_score_gemma":0.26441428,"teacher_disagreement_score":0.11251471,"about_ca_system_score_codex":0.00051671686,"about_ca_system_score_gemma":0.002170393,"threshold_uncertainty_score":0.9999116},"labels":[],"label_agreement":null},{"id":"W2738394254","doi":"","title":"Le transport en commun : un investissement pour la santé","year":2012,"lang":"fr","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.021083503514919163,"score_gpt":0.30934127499248537,"score_spread":0.2882577714775662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2738394254","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65829635,0.005906448,0.0009329709,0.0105606215,0.0006998355,0.00018836376,0.00001791429,0.000083558574,0.32331392],"genre_scores_gemma":[0.96201366,0.00031918337,0.0020263453,0.000545939,0.00060257997,0.000010943617,0.000016547761,0.000017148779,0.034447648],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978072,0.0005664845,0.00038038444,0.00022235989,0.00034899174,0.00067458814],"domain_scores_gemma":[0.99895316,0.00024715014,0.00007876306,0.00029160373,0.00004407147,0.00038524758],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0019416356,0.00020080282,0.00025647364,0.00003099772,0.0004070512,0.00003189288,0.00045188077,0.00024171626,0.00804257],"category_scores_gemma":[0.000020875521,0.0001961459,0.00016390107,0.00031036139,0.00064342254,0.0007908019,0.00002474537,0.00029135722,0.00028963995],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006754007,0.0009084151,0.78166837,0.000049267604,0.000047701422,0.00000609205,0.024482701,7.692098e-7,0.000098168115,0.1647841,0.0019124139,0.02603526],"study_design_scores_gemma":[0.00029833565,0.000013286524,0.7005177,0.000032771866,0.00007781901,7.46599e-7,0.004638765,0.000005835108,0.00071223493,0.005249078,0.2882073,0.00024609605],"about_ca_topic_score_codex":0.013798898,"about_ca_topic_score_gemma":0.008342698,"teacher_disagreement_score":0.3037173,"about_ca_system_score_codex":0.00007045764,"about_ca_system_score_gemma":0.00032976418,"threshold_uncertainty_score":0.9928642},"labels":[],"label_agreement":null},{"id":"W2738692177","doi":"","title":"Walk in centres: lessons from Canada. National evaluation of walk in centres conference","year":2002,"lang":"en","type":"article","venue":"UCL Discovery (University College London)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Public administration","score_opus":0.041614141603329706,"score_gpt":0.2620092847348461,"score_spread":0.22039514313151637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2738692177","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9756499,0.00015019414,0.000016755235,0.0030232961,0.00016188256,0.0003274651,0.0015478587,0.000011579932,0.01911106],"genre_scores_gemma":[0.99646485,0.00007728436,0.00003380932,0.000046529305,0.000030405923,9.601628e-7,0.00007644867,0.000004190434,0.0032655457],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99771523,0.00032391743,0.00020638347,0.0003303076,0.001128978,0.00029518374],"domain_scores_gemma":[0.9992177,0.00017767442,0.00012636167,0.00014578014,0.00024585554,0.00008663019],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00043828881,0.000115798866,0.00022723945,0.00017780035,0.00021541887,0.000026368074,0.00039207458,0.000097689415,0.0020963869],"category_scores_gemma":[0.0001227336,0.00014003825,0.000058602865,0.00078693946,0.00019222219,0.0011417973,0.000043476404,0.0001447455,0.000005636664],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014115387,0.0005401701,0.95114607,0.000020727262,0.000037055746,0.00008184399,0.009616332,0.0003316288,0.00007569922,0.031678773,0.0044664233,0.0018641116],"study_design_scores_gemma":[0.0019463211,0.000008564208,0.96891844,0.0000743788,0.00003795661,6.325795e-8,0.017958615,0.0044980813,0.000066903514,0.0022138993,0.004061064,0.00021572543],"about_ca_topic_score_codex":0.8324827,"about_ca_topic_score_gemma":0.99424356,"teacher_disagreement_score":0.16176085,"about_ca_system_score_codex":0.0012965214,"about_ca_system_score_gemma":0.0018205849,"threshold_uncertainty_score":0.99881583},"labels":[],"label_agreement":null},{"id":"W2740439537","doi":"10.1007/978-3-319-59511-5_18","title":"A Space-Time Approach to Reducing Child Pedestrian Exposure to Motor-Vehicle Commuter Traffic","year":2017,"lang":"en","type":"book-chapter","venue":"Advances in geographic information science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Pedestrian; Transport engineering; Computer science; Space (punctuation); Aeronautics; Engineering","score_opus":0.01326749664819217,"score_gpt":0.27469901164439436,"score_spread":0.2614315149962022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2740439537","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030939901,0.00038033922,0.00035621625,0.0007707096,0.0006168342,0.0015953329,0.00006125226,0.00014541339,0.965134],"genre_scores_gemma":[0.9839311,0.00046642675,0.0025197382,0.00052233954,0.00024263961,0.00008197302,0.000043058488,0.000018362944,0.012174318],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9963894,0.000032977194,0.00075604627,0.0005833525,0.0015026464,0.0007356047],"domain_scores_gemma":[0.9976433,0.000059456233,0.00051429565,0.00096890476,0.00037333614,0.00044069072],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0026834381,0.00034650904,0.00043795267,0.0014581431,0.0021392396,0.00078626047,0.0022906137,0.00025608542,0.000098069526],"category_scores_gemma":[0.00026651268,0.0003405189,0.0001626129,0.00069891463,0.0015527606,0.009163888,0.0001688145,0.0005289902,0.0001789797],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005202619,0.00043860736,0.045883324,0.0008621254,0.00007312735,0.000018074452,0.2062353,0.02651958,0.00007416242,0.1716257,0.0008303625,0.54691935],"study_design_scores_gemma":[0.00069957576,0.00026566107,0.04058319,0.0009383586,0.00003333354,0.0000025511845,0.0016905589,0.00051192415,0.000016910657,0.003332596,0.9504042,0.00152114],"about_ca_topic_score_codex":0.00045506677,"about_ca_topic_score_gemma":0.0010970915,"teacher_disagreement_score":0.95299125,"about_ca_system_score_codex":0.00018985318,"about_ca_system_score_gemma":0.00040027295,"threshold_uncertainty_score":0.9999047},"labels":[],"label_agreement":null},{"id":"W2741495925","doi":"","title":"Evaluating a bicycle education program for children: Findings from","year":2016,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cycling; Psychology; Medical education; Descriptive statistics; Applied psychology; Medicine; Geography","score_opus":0.04782343444933717,"score_gpt":0.4131256100718446,"score_spread":0.36530217562250744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2741495925","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99175555,0.000033817505,0.0006005146,0.0016238152,0.00017985479,0.0010416417,0.000012431327,0.00014286692,0.0046094935],"genre_scores_gemma":[0.98611236,0.0000019780678,0.009940256,0.000092956245,0.00032867125,0.00024654093,0.000016415324,0.000004974298,0.0032558283],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99932855,0.000026206259,0.000119317934,0.00019552546,0.0001579949,0.00017238078],"domain_scores_gemma":[0.99963135,0.00010336022,0.000034748296,0.000098563905,0.000072454706,0.00005951419],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039222368,0.0000489939,0.00006273858,0.000019232339,0.00025999662,0.00005239214,0.00014077297,0.000047197063,0.00082841027],"category_scores_gemma":[0.0001535453,0.00003160386,0.00005198158,0.000094588286,0.00008057765,0.00025510925,0.0000059608574,0.000019121326,0.000024162387],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000054936177,0.000088278066,0.5710986,0.0000010976572,0.0000042262673,6.0654672e-9,0.00063591026,1.3126967e-8,0.00040848475,0.00072845287,0.00053486024,0.42649457],"study_design_scores_gemma":[0.00027798975,0.00004370143,0.97985786,0.000021512593,0.000016054566,8.007186e-9,0.0002935263,0.000007059119,0.0009237664,0.014147378,0.0043160105,0.00009512545],"about_ca_topic_score_codex":0.003266463,"about_ca_topic_score_gemma":0.0021773933,"teacher_disagreement_score":0.42639944,"about_ca_system_score_codex":0.000042870644,"about_ca_system_score_gemma":0.0002458693,"threshold_uncertainty_score":0.90705115},"labels":[],"label_agreement":null},{"id":"W2741878652","doi":"10.5539/jsd.v10n4p43","title":"Relevance of Walking and Informal Activities in Urban Space: A Case of Dar es Salaam City, Tanzania","year":2017,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Space (punctuation); Commit; Tanzania; Urban space; Urban design; Public space; Element (criminal law); Work (physics); Sociology; Urban planning; Political science; Architectural engineering; Regional science; Socioeconomics; Computer science; Civil engineering; Engineering","score_opus":0.014764083652454218,"score_gpt":0.2852529102514854,"score_spread":0.2704888265990312,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2741878652","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997301,0.00028532319,0.00003869056,0.0001756034,0.00007377373,0.00013724403,0.0000011052219,0.0000030659594,0.0019842035],"genre_scores_gemma":[0.99785346,0.00010532125,0.0012688802,0.0000066755706,0.000041607364,0.0000016529949,1.8558711e-7,0.0000045923666,0.00071761047],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99866116,0.00003789459,0.0005724399,0.00008945731,0.00034437247,0.00029469503],"domain_scores_gemma":[0.99843824,0.000087692206,0.00092952716,0.00012664279,0.0003305494,0.000087356704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018067184,0.00009458676,0.00031879338,0.00018190118,0.00048266235,0.000084452426,0.00027112736,0.00006751402,0.000022073193],"category_scores_gemma":[0.0004170988,0.00008369369,0.00004470826,0.0001272283,0.00038141714,0.0014320873,0.0000885003,0.00017564317,6.267993e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012844702,0.00009393529,0.92040193,0.00030856312,0.00003240644,0.001261998,0.06702619,0.0000046422642,0.00009212815,0.0020056702,0.000053751864,0.008590353],"study_design_scores_gemma":[0.00063250924,0.000058168465,0.90079355,0.00020473625,0.000014437619,0.000025251536,0.09052396,0.0000031217742,0.0031807164,0.00074048486,0.003700145,0.00012293413],"about_ca_topic_score_codex":0.0013798673,"about_ca_topic_score_gemma":0.0021254765,"teacher_disagreement_score":0.023497764,"about_ca_system_score_codex":0.00017672213,"about_ca_system_score_gemma":0.00110701,"threshold_uncertainty_score":0.37122974},"labels":[],"label_agreement":null},{"id":"W2742957012","doi":"10.1186/s12889-017-4661-5","title":"Network analysis of inter-organizational relationships and policy use among active living organizations in Alberta, Canada","year":2017,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Athabasca University; University of Alberta","funders":"Government of Alberta","keywords":"Betweenness centrality; Centrality; General partnership; Social network analysis; Business; Position (finance); Network analysis; Recreation; Political science; Finance","score_opus":0.047648418064012966,"score_gpt":0.31813135107298784,"score_spread":0.27048293300897486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2742957012","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98870546,0.000012393801,0.0015809545,0.007873212,0.00006710007,0.00016239495,0.00003354801,0.00001108597,0.0015538702],"genre_scores_gemma":[0.9989896,0.000010732179,0.00021187207,0.00015601164,0.000099848934,0.0000029396365,0.000052964864,0.0000067866163,0.0004692893],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99865574,0.00033114076,0.0003282083,0.00019485498,0.00019744526,0.00029263628],"domain_scores_gemma":[0.9982394,0.00071324053,0.00033554234,0.00024920562,0.00023722321,0.00022540825],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001008715,0.0000673119,0.00021114205,0.00020852861,0.0013045769,0.00017479464,0.00023611642,0.00006164989,0.00012147719],"category_scores_gemma":[0.007428577,0.000070950344,0.000019954443,0.002024113,0.00020652213,0.00087079796,0.00004574218,0.00012830188,2.8418438e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[7.6135376e-7,0.000025200243,0.97607917,0.000006667141,0.000027926091,1.1306713e-7,0.0060102674,0.00006733145,3.7800525e-8,0.01754129,0.0001158925,0.00012532492],"study_design_scores_gemma":[0.00004981968,0.0000026834166,0.9978569,0.00001598274,0.000017383978,1.9062533e-8,0.00096210715,0.0003708868,9.428896e-8,0.00032546918,0.00034003187,0.0000585837],"about_ca_topic_score_codex":0.9881227,"about_ca_topic_score_gemma":0.9997238,"teacher_disagreement_score":0.021777749,"about_ca_system_score_codex":0.00045904232,"about_ca_system_score_gemma":0.007839718,"threshold_uncertainty_score":0.9999956},"labels":[],"label_agreement":null},{"id":"W2743866054","doi":"10.1002/sim.7401","title":"A joint modeling and estimation method for multivariate longitudinal data with mixed types of responses to analyze physical activity data generated by accelerometers","year":2017,"lang":"en","type":"article","venue":"Statistics in Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"National Cancer Institute; Natural Sciences and Engineering Research Council of Canada","keywords":"Multivariate statistics; Accelerometer; Computer science; Longitudinal data; Estimation; Multivariate analysis; Joint (building); Statistics; Econometrics; Data mining; Mathematics; Machine learning","score_opus":0.2269431800474397,"score_gpt":0.4798321457310576,"score_spread":0.25288896568361785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2743866054","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43330252,0.000013205653,0.56461537,0.00042235383,0.000035183297,0.00018570968,0.0014101008,0.000004748874,0.000010827008],"genre_scores_gemma":[0.74338514,0.000008739241,0.2561827,0.0000069078965,0.000046613543,0.0000049506184,0.0003411851,0.000005242902,0.000018506596],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99890095,0.00012415531,0.00017647847,0.00038859784,0.00025779483,0.00015200258],"domain_scores_gemma":[0.99844027,0.0004816288,0.00016423588,0.00071555155,0.000119344135,0.00007895123],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018729285,0.00008989854,0.00030832563,0.00005979975,0.00024628456,0.000040759212,0.0005320993,0.00003156381,0.000006896204],"category_scores_gemma":[0.0033572963,0.00006757822,0.000005081408,0.00010628381,0.0002830413,0.0003458559,0.00012222979,0.00008193529,9.9610745e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.010003777,0.0017569353,0.2721619,0.0012297357,0.0008517137,0.00006341189,0.031262953,0.007816137,0.045444995,0.0062127705,0.011088464,0.6121072],"study_design_scores_gemma":[0.00070022716,0.00011045223,0.09952665,0.00007981781,0.00012262508,8.76143e-8,0.00020773686,0.89778,0.00018180003,0.0011733165,0.00002603739,0.000091270726],"about_ca_topic_score_codex":0.015160053,"about_ca_topic_score_gemma":0.008922304,"teacher_disagreement_score":0.88996387,"about_ca_system_score_codex":0.000022394464,"about_ca_system_score_gemma":0.00010220084,"threshold_uncertainty_score":0.9913981},"labels":[],"label_agreement":null},{"id":"W2744610156","doi":"10.1016/j.socscimed.2017.07.026","title":"The observed and perceived neighborhood environment and physical activity among urban-dwelling adults: The moderating role of depressive symptoms","year":2017,"lang":"en","type":"article","venue":"Social Science & Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Recreation; Mediation; Moderated mediation; Psychology; Physical activity; Mental health; Built environment; Depression (economics); Perception; Gerontology; Clinical psychology; Medicine; Social psychology; Psychiatry; Physical therapy","score_opus":0.01976250165907971,"score_gpt":0.28649963649104204,"score_spread":0.2667371348319623,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2744610156","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947402,0.00028440898,0.000034935867,0.0017648076,0.000082075836,0.00028783243,0.0000026070115,0.0000120824125,0.002791087],"genre_scores_gemma":[0.9993378,0.000082674735,0.0000024424407,0.000021566233,0.0004985718,0.000012520993,3.2303095e-7,0.0000043370446,0.000039779243],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99838877,0.00010532134,0.00014330035,0.00032740552,0.0006951368,0.0003400574],"domain_scores_gemma":[0.99902874,0.0002495843,0.00028391692,0.00025118943,0.00006472059,0.00012181679],"candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0012286609,0.000112200534,0.00020291896,0.000012971793,0.008131547,0.00017962541,0.000641531,0.000051042884,0.000008428513],"category_scores_gemma":[0.00038982884,0.000060919592,0.000039093262,0.00008985932,0.012210485,0.00059502816,0.0000932851,0.0001921901,1.987808e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020831158,0.00003255337,0.8212977,0.0000055734627,0.000008778061,4.9690226e-7,0.13358054,0.000001470194,0.0037566985,0.0015693046,0.0000034310463,0.039722625],"study_design_scores_gemma":[0.00028655605,0.000032431068,0.9793804,0.00004253823,0.00003405344,5.0315514e-8,0.014047199,0.0028320844,0.00025450476,0.0029771058,0.00003414369,0.00007888315],"about_ca_topic_score_codex":0.00433182,"about_ca_topic_score_gemma":0.0008348121,"teacher_disagreement_score":0.15808275,"about_ca_system_score_codex":0.000051453102,"about_ca_system_score_gemma":0.000090493944,"threshold_uncertainty_score":0.9931597},"labels":[],"label_agreement":null},{"id":"W2744628093","doi":"10.5014/ajot.2017.71s1-po6132","title":"Visual Attention Cut Points Predicting Fitness to Drive in People With Parkinson’s Disease","year":2017,"lang":"en","type":"article","venue":"American Journal of Occupational Therapy","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Parkinson's disease; Physical medicine and rehabilitation; Visual impairment; Psychology; Disease; Cognitive psychology; Audiology; Medicine; Gerontology; Physical therapy; Psychiatry; Pathology","score_opus":0.032629878918264354,"score_gpt":0.37483435099801454,"score_spread":0.3422044720797502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2744628093","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968682,0.000023182381,0.00082877453,0.001821359,0.00014346238,0.00014811075,0.000009759711,0.0000074289474,0.00014975817],"genre_scores_gemma":[0.99887484,0.000044622106,0.0005036991,0.00020094147,0.00031282258,0.000007044504,0.000003797324,0.000007872268,0.000044336866],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99869686,0.00011871825,0.00028240777,0.00014956605,0.00056661037,0.00018585457],"domain_scores_gemma":[0.9987099,0.000077637036,0.00060417294,0.00012889007,0.00026089468,0.0002184636],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000627524,0.00008896144,0.00020058692,0.00010496819,0.00044932327,0.00011871029,0.00034686437,0.000017098435,0.000079309124],"category_scores_gemma":[0.000116266296,0.00007032302,0.000074959404,0.00019301513,0.00029394412,0.0006253916,0.00001031744,0.00011768838,0.00000265516],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015842968,0.00013514682,0.98189723,0.0000014364539,0.00002066104,0.000012004691,0.0026015595,0.000039311308,0.000021097469,0.000053198415,0.000019633193,0.01361442],"study_design_scores_gemma":[0.00058568607,0.00025030482,0.9968179,0.00005941146,0.000007823691,5.857403e-7,0.0012345325,0.000028191444,0.00001138187,0.00017540283,0.0007361443,0.0000926579],"about_ca_topic_score_codex":0.0016561402,"about_ca_topic_score_gemma":0.0041037337,"teacher_disagreement_score":0.0149206435,"about_ca_system_score_codex":0.000100306184,"about_ca_system_score_gemma":0.0004336679,"threshold_uncertainty_score":0.34558767},"labels":[],"label_agreement":null},{"id":"W2745695610","doi":"10.1016/j.ufug.2017.08.010","title":"Access to parks and physical activity: An eight country comparison","year":2017,"lang":"en","type":"article","venue":"Urban forestry & urban greening","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":209,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Cancer Institute; Health Research Council of New Zealand; National Institutes of Health; Centers for Disease Control and Prevention; National Heart, Lung, and Blood Institute; Coca-Cola; Ministry of Education, Youth and Science; Ministerstvo Školství, Mládeže a Tělovýchovy; Centers for Disease Control and Prevention Foundation; Medical Research Council; University of Texas Health Science Center at Houston; Michael and Susan Dell Foundation; Coca-Cola Foundation; Australian Research Council; NIKE; National Institute of Diabetes and Digestive and Kidney Diseases; Robert Wood Johnson Foundation","keywords":"Geography; Physical activity; Business; Environmental protection; Medicine","score_opus":0.05713617396925705,"score_gpt":0.37232727964829243,"score_spread":0.3151911056790354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2745695610","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9883687,0.00010220298,0.00034696987,0.00063854316,0.00036159166,0.00041993373,0.000039618815,0.00015221527,0.00957022],"genre_scores_gemma":[0.99697083,0.000004121463,0.00018448134,0.00012954183,0.0015674838,0.000027427213,0.000022014981,0.000034138142,0.0010599674],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975146,0.000113393304,0.00024850693,0.0007545395,0.00062793476,0.0007410015],"domain_scores_gemma":[0.9979641,0.00010391503,0.00030058142,0.00089654594,0.00009347322,0.00064140704],"candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.000469546,0.0003064999,0.00048535486,0.00008343352,0.0030973153,0.0015933812,0.001440161,0.00020483768,0.000074841584],"category_scores_gemma":[0.00014441891,0.00029987472,0.00010091133,0.00018112047,0.00077602087,0.002892653,0.00024819776,0.0004577645,0.000014925808],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000936263,0.00018186524,0.9795599,0.000022100592,0.000024565243,0.00001779241,0.0059190434,0.000005405251,0.00007382357,0.0010133203,0.0039022008,0.009186332],"study_design_scores_gemma":[0.00036823488,0.00009029786,0.9766417,0.000063373256,0.000060440423,4.6190019e-7,0.00042486083,0.00096572295,0.00026399337,0.0006824134,0.020013344,0.0004251216],"about_ca_topic_score_codex":0.0075336657,"about_ca_topic_score_gemma":0.009128389,"teacher_disagreement_score":0.016111143,"about_ca_system_score_codex":0.000087682645,"about_ca_system_score_gemma":0.00014908481,"threshold_uncertainty_score":0.99994534},"labels":[],"label_agreement":null},{"id":"W2745993149","doi":"","title":"How to Shift Into High Gear: An Analysis of the Implementation of London’s Bicycle Master Plan","year":2010,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Plan (archaeology); Master plan; Computer science; Aeronautics; Engineering; History; Engineering management; Archaeology","score_opus":0.0608118598924593,"score_gpt":0.3364605166792319,"score_spread":0.2756486567867726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2745993149","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982284,0.0000042876572,0.00018427089,0.00086754456,0.00022638602,0.0003143362,0.00008779492,0.000035528927,0.000051454932],"genre_scores_gemma":[0.9990008,0.0000017560328,0.00005925675,0.000085490465,0.000060215356,8.414834e-7,0.000028483293,0.000011497227,0.00075165107],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99823534,0.00027499953,0.00025436853,0.0003900003,0.0005451938,0.0003000685],"domain_scores_gemma":[0.9986578,0.000055969507,0.00028194615,0.00060780515,0.00017676037,0.00021968134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058398856,0.00015781692,0.00031486206,0.0004996119,0.00031051107,0.00017463519,0.0011385713,0.0001508926,0.00014763934],"category_scores_gemma":[0.000023339197,0.00014256487,0.00020703986,0.0014927017,0.00027820392,0.0017042202,0.00014508708,0.00028710638,0.000004849389],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004084875,0.000066299996,0.98816496,0.000014623514,0.00011452166,0.000003930755,0.0076153814,0.0000061852866,0.0031685536,0.00027203324,1.1746383e-7,0.00053251337],"study_design_scores_gemma":[0.00032889808,0.00005211609,0.9878001,0.000012693626,0.00039958622,6.3864206e-8,0.0040394175,1.10787745e-7,0.0066262805,0.00017266847,0.00041162779,0.00015642923],"about_ca_topic_score_codex":0.0019079129,"about_ca_topic_score_gemma":0.5785957,"teacher_disagreement_score":0.57668775,"about_ca_system_score_codex":0.00008263299,"about_ca_system_score_gemma":0.00014196239,"threshold_uncertainty_score":0.5813626},"labels":[],"label_agreement":null},{"id":"W2746190559","doi":"10.1016/j.tbs.2017.07.006","title":"Modelling mode switch associated with the change of residential location","year":2017,"lang":"en","type":"article","venue":"Travel Behaviour and Society","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":39,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Nova Scotia Department of Energy","keywords":"Relocation; Mode (computer interface); Mode choice; Travel behavior; Preference; Demographic economics; Logit; Work (physics); Psychology; Econometrics; Economics; Public transport; Transport engineering; Microeconomics; Computer science; Engineering","score_opus":0.07286847281003506,"score_gpt":0.32302010008309084,"score_spread":0.2501516272730558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2746190559","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949851,0.000068629,0.003052581,0.00072675257,0.000047527166,0.0002141389,0.000014824586,0.000016907956,0.0008735151],"genre_scores_gemma":[0.9992695,0.00006824961,0.00008207425,0.0000312067,0.00008925672,0.000012750791,0.000008051706,0.0000066438097,0.00043226732],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992264,0.00003702226,0.00011768932,0.00015868404,0.00028521434,0.00017502409],"domain_scores_gemma":[0.9994062,0.000028309338,0.00016598389,0.00020872171,0.0001416609,0.00004913438],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00056617893,0.00007567758,0.00012677825,0.000006089029,0.0014438062,0.00010445496,0.00024955286,0.00010508752,0.000013634876],"category_scores_gemma":[0.000010500162,0.00005265591,0.00007072611,0.000058053036,0.00053853466,0.0003170203,0.0000149798725,0.00012515266,2.8651246e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001424629,0.000086625936,0.91914564,0.000013487902,0.000031389452,7.529353e-7,0.07888717,0.000045177538,0.000052585725,0.0012491716,0.000106629144,0.00036709136],"study_design_scores_gemma":[0.00027597864,0.000015498645,0.99217963,0.000028801633,0.000091566035,3.242149e-8,0.00509933,0.0017639295,0.00010453377,0.00034455885,0.000007920875,0.000088213106],"about_ca_topic_score_codex":0.025939722,"about_ca_topic_score_gemma":0.0065034316,"teacher_disagreement_score":0.073787846,"about_ca_system_score_codex":0.000025764552,"about_ca_system_score_gemma":0.00007579997,"threshold_uncertainty_score":0.9998562},"labels":[],"label_agreement":null},{"id":"W2746308314","doi":"10.3141/2665-09","title":"Ex Ante and Ex Post Evaluation of Smart Commute Strategies in the Greater Toronto and Hamilton Area of Canada: Comparison of Aggregate and Disaggregate Approaches","year":2017,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Aggregate (composite); Aggregate data; Nested logit; Ex-ante; Logit; Transport engineering; Survey data collection; Travel behavior; Mixed logit; Logistic regression; Perception; Econometrics; Business; Economics; Computer science; Operations research; Engineering; Psychology; Statistics","score_opus":0.25154803009694254,"score_gpt":0.43489788895078574,"score_spread":0.1833498588538432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2746308314","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99535125,0.0011901602,0.0000260585,0.0018360049,0.000077143195,0.00091454206,0.0000852673,0.0000024148112,0.0005171802],"genre_scores_gemma":[0.9985908,0.0011778293,0.000109437206,0.0000053623976,0.000025764164,0.0000150517735,0.000008305446,0.000011704609,0.00005569197],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99337006,0.0015876489,0.0011470019,0.00026447073,0.0032029285,0.00042790262],"domain_scores_gemma":[0.99569875,0.00067639275,0.00089244713,0.00042222114,0.0021496087,0.0001606075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010674673,0.00016169145,0.0005184698,0.00020352045,0.0007170879,0.00013853952,0.0008227396,0.00011974568,0.00005547426],"category_scores_gemma":[0.000217584,0.00010809823,0.00010172125,0.00031294918,0.002427839,0.0010732306,0.000008093168,0.0006573502,4.7592113e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000898613,0.00013308038,0.94848216,0.0003318167,0.000067988316,0.000007131525,0.042738978,0.000059944494,0.00068175927,0.00094685366,0.000058054302,0.0055936123],"study_design_scores_gemma":[0.0011339495,0.00027990591,0.9482813,0.0004053278,0.000080140126,1.15486415e-7,0.04677046,0.00024016901,0.0008394427,0.0017571043,0.00012035892,0.00009175499],"about_ca_topic_score_codex":0.727654,"about_ca_topic_score_gemma":0.991005,"teacher_disagreement_score":0.263351,"about_ca_system_score_codex":0.00012368927,"about_ca_system_score_gemma":0.0012875391,"threshold_uncertainty_score":0.89454734},"labels":[],"label_agreement":null},{"id":"W2746405782","doi":"10.3390/ijerph14080930","title":"Cycle Tracks and Parking Environments in China: Learning from College Students at Peking University","year":2017,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transport engineering; China; Beijing; Pedestrian; Engineering; Geography","score_opus":0.06508595093034554,"score_gpt":0.39448213135955695,"score_spread":0.3293961804292114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2746405782","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99359614,0.0003179148,0.00002036,0.005081862,0.00009926536,0.00008742114,0.000030131654,0.0000016235322,0.0007653063],"genre_scores_gemma":[0.99565697,0.0036128454,0.000034343673,0.000035161283,0.00011997881,3.2573664e-7,0.000005483762,0.0000041682597,0.00053070474],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978699,0.0003295017,0.00021716495,0.00016675603,0.0011181206,0.00029854433],"domain_scores_gemma":[0.9992094,0.00013064887,0.000236678,0.00007452643,0.000012355962,0.0003363779],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002634412,0.00005904625,0.00012750087,0.00014039787,0.0011501835,0.00020189025,0.00057100545,0.000047334892,0.00021621911],"category_scores_gemma":[0.00014500537,0.00005946178,0.000026354774,0.000029060293,0.0005460031,0.000785348,0.00025744055,0.00040589838,0.0000024037188],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007126723,0.00022337864,0.98292965,0.000001754677,0.000024168034,0.000075740776,0.0032756813,0.0000016722889,0.000074241005,0.0000752861,0.000017516026,0.013229669],"study_design_scores_gemma":[0.00077429006,0.00007433609,0.97311497,0.000028671438,0.0000010746718,0.000001655056,0.0041034045,0.000021498716,0.000005192909,0.00047953898,0.021350795,0.00004454996],"about_ca_topic_score_codex":0.003903246,"about_ca_topic_score_gemma":0.0032569335,"teacher_disagreement_score":0.02133328,"about_ca_system_score_codex":0.0008242483,"about_ca_system_score_gemma":0.00012037053,"threshold_uncertainty_score":0.8846398},"labels":[],"label_agreement":null},{"id":"W2747928147","doi":"10.1162/adev_a_00094","title":"Transport Infrastructure and the Decentralization of Cities in the People's Republic of China","year":2017,"lang":"en","type":"article","venue":"Asian Development Review","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institutes of Health; International Growth Centre; Brown University","keywords":"Decentralization; China; People's Republic; Development economics; Economic growth; Economic geography; Geography; Political science; Economic system; Economics; Market economy","score_opus":0.01341614677918686,"score_gpt":0.28792573222679135,"score_spread":0.2745095854476045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2747928147","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9525896,0.016811611,0.00005921368,0.010436633,0.00007583258,0.0009840488,0.000003009077,0.000007962538,0.019032106],"genre_scores_gemma":[0.9819761,0.01767309,0.00014131167,0.0001093013,0.000010957446,0.000015175319,0.0000072895145,0.0000022963143,0.00006446359],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990213,0.00012529746,0.00037460565,0.00010616983,0.00025868378,0.00011392829],"domain_scores_gemma":[0.9993607,0.000026808597,0.0002916463,0.00025630003,0.00004392087,0.000020670634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001624944,0.00006947255,0.00025582244,0.000018740055,0.0003062641,0.000027995966,0.00048178455,0.00003317523,0.00011653146],"category_scores_gemma":[0.00014931205,0.000036339006,0.00004488469,0.00015281452,0.00043263315,0.0002004893,0.000012182856,0.000066930654,1.9957886e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005052309,0.000011113062,0.9110791,0.0005697912,0.000008270399,3.9910884e-7,0.034942087,4.8904226e-8,2.4511672e-7,0.0060402947,0.00009321239,0.047250394],"study_design_scores_gemma":[0.00017319353,0.0000020131927,0.9831266,0.00057677,0.000019852483,1.9465175e-7,0.0007711846,2.0387992e-7,0.00000779762,0.0009804326,0.0142982025,0.00004360181],"about_ca_topic_score_codex":0.0005244577,"about_ca_topic_score_gemma":0.006274577,"teacher_disagreement_score":0.072047465,"about_ca_system_score_codex":0.000012444206,"about_ca_system_score_gemma":0.00019939727,"threshold_uncertainty_score":0.35013613},"labels":[],"label_agreement":null},{"id":"W2748150725","doi":"10.3141/2665-05","title":"Examination of Clusters for Better Understanding Commuter Cyclists’ Travel Behavior: Insights from a Longitudinal Panel Survey","year":2017,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Cycling; Situational ethics; Travel behavior; Work (physics); Logistic regression; Baseline (sea); Theory of planned behavior; Travel survey; Transport engineering; Psychology; Geography; Engineering; Statistics; Social psychology; Mathematics; Control (management); Computer science","score_opus":0.4100596621831253,"score_gpt":0.45631709527833736,"score_spread":0.046257433095212075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2748150725","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98852545,0.00007869091,0.0068513155,0.0016789322,0.00068372727,0.001469412,0.00039438068,0.000013196029,0.00030488835],"genre_scores_gemma":[0.9980971,0.00023339527,0.00086430006,0.000019481959,0.00026076497,0.00007982217,0.00010307771,0.000040811618,0.00030124313],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99153024,0.0020639815,0.0014942612,0.00046660163,0.0036760662,0.00076884555],"domain_scores_gemma":[0.9918171,0.0024053801,0.0011045964,0.0007532543,0.003565056,0.00035461853],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.008404434,0.00024032834,0.00058966625,0.00062925625,0.0028824033,0.00037922122,0.0021548404,0.0002997105,0.00019718122],"category_scores_gemma":[0.0004763202,0.0001940063,0.00049242785,0.00067659107,0.0023267074,0.0015199188,0.000010155592,0.0013701422,0.0000027881379],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011288204,0.0003294747,0.9793835,0.0001230041,0.0001279197,0.00002803214,0.012718116,0.000019017494,0.0011983791,0.0019704103,0.0004713063,0.0025019746],"study_design_scores_gemma":[0.0017685184,0.00022759082,0.983822,0.00027429045,0.00010585497,3.027782e-8,0.0060408153,0.000042470547,0.00068343425,0.0063436176,0.00049945357,0.00019191165],"about_ca_topic_score_codex":0.11085386,"about_ca_topic_score_gemma":0.5895872,"teacher_disagreement_score":0.47873336,"about_ca_system_score_codex":0.00045474403,"about_ca_system_score_gemma":0.0006881298,"threshold_uncertainty_score":0.9984157},"labels":[],"label_agreement":null},{"id":"W2748565997","doi":"10.1186/s12942-017-0105-9","title":"The approaches to measuring the potential spatial access to urban health services revisited: distance types and aggregation-error issues","year":2017,"lang":"en","type":"article","venue":"International Journal of Health Geographics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":155,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de Santé Publique du Québec; Université de Montréal; Institut National de la Recherche Scientifique","funders":"Canada Research Chairs","keywords":"Geography; Measure (data warehouse); Statistics; Health geography; Census; Euclidean distance; Correlation; Geographic coordinate system; Shortest path problem; Computer science; Econometrics; Public health; Cartography; Transport engineering; Data mining; Mathematics; Environmental health; Population; Medicine; Artificial intelligence","score_opus":0.0873326626258919,"score_gpt":0.378093641040514,"score_spread":0.2907609784146221,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2748565997","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5383439,0.011278715,0.003992074,0.44305292,0.0023391156,0.0006575182,0.000039151917,0.000020884483,0.0002757232],"genre_scores_gemma":[0.994688,0.0019859208,0.00024223996,0.0018878364,0.0011191573,0.000005900897,0.0000027695994,0.000007700993,0.000060524657],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976794,0.00023691701,0.00060071977,0.00018236272,0.0010122007,0.00028838727],"domain_scores_gemma":[0.9979328,0.0001017437,0.0009941102,0.00025119938,0.00047713437,0.00024304749],"candidate_categories":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0038323952,0.00010812184,0.00020915222,0.00011630505,0.0029352903,0.0013528869,0.0019104959,0.000040212748,0.000008404437],"category_scores_gemma":[0.00016813945,0.00006734712,0.00009263437,0.00013918859,0.000254965,0.00064656493,0.00012265681,0.00023895093,0.0000013737939],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017362156,0.00005946183,0.8739973,0.00006479229,0.00010473988,0.0000050177828,0.010979113,0.00008033208,0.0000010160242,0.005000172,0.00064647815,0.10888799],"study_design_scores_gemma":[0.00018690298,0.00006625045,0.92261374,0.0003422052,0.000010589111,0.0000023893217,0.0015130241,0.000078035344,0.0000045540883,0.0032437185,0.07184837,0.00009022053],"about_ca_topic_score_codex":0.011122207,"about_ca_topic_score_gemma":0.03896816,"teacher_disagreement_score":0.45634404,"about_ca_system_score_codex":0.00008253259,"about_ca_system_score_gemma":0.00033000944,"threshold_uncertainty_score":0.9996838},"labels":[],"label_agreement":null},{"id":"W2749105891","doi":"10.3141/2652-14","title":"Exploratory Method for Practitioners Analyzing the Impact of Integrated Fare Structures in Decentralized Metropolitan Regions","year":2017,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Trip distribution; Transport engineering; Equity (law); TRIPS architecture; Revenue; Computer science; Payment; Smart card; Business; Operations research; Engineering; Computer security; Finance","score_opus":0.16920417311451968,"score_gpt":0.5098263310097305,"score_spread":0.34062215789521083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2749105891","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9832674,0.00034708594,0.0076897275,0.006403095,0.0003005126,0.0015434618,0.00023980411,0.000014083174,0.000194824],"genre_scores_gemma":[0.99515617,0.0010074845,0.0033995798,0.000010777702,0.00012807873,0.00008219049,0.000029600737,0.000031500284,0.0001545916],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99264675,0.0026244228,0.0013807794,0.0003654511,0.0020756922,0.00090691337],"domain_scores_gemma":[0.9913677,0.0019239425,0.0011404364,0.0007239938,0.0045209313,0.0003229695],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.011511941,0.00022033567,0.0005557556,0.0008350417,0.0024814308,0.00029832043,0.0021249035,0.0002131356,0.00025288187],"category_scores_gemma":[0.0015873727,0.00013438654,0.0007960304,0.0016191482,0.0019016016,0.0014179553,0.000006457972,0.0017144486,8.474543e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019498722,0.00020504704,0.96472913,0.00009750496,0.00023953739,0.000016584232,0.010287818,0.0005437364,0.0012169451,0.015851136,0.001527649,0.0033350515],"study_design_scores_gemma":[0.0013979543,0.00023431994,0.9434932,0.00019773626,0.000065520224,5.4212524e-8,0.020957423,0.00007010677,0.0004900377,0.030347373,0.0026122052,0.00013408584],"about_ca_topic_score_codex":0.21072729,"about_ca_topic_score_gemma":0.48698354,"teacher_disagreement_score":0.27625626,"about_ca_system_score_codex":0.00086081476,"about_ca_system_score_gemma":0.0023847558,"threshold_uncertainty_score":0.9988172},"labels":[],"label_agreement":null},{"id":"W2749249183","doi":"10.1016/j.aap.2017.08.001","title":"Evaluating the impact of connectivity, continuity, and topography of sidewalk network on pedestrian safety","year":2017,"lang":"en","type":"article","venue":"Accident Analysis & Prevention","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":83,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Pedestrian; Transport engineering; Poison control; Crash; Bayesian network; Computer science; Schema crosswalk; Engineering; Machine learning; Environmental health","score_opus":0.06383525915066174,"score_gpt":0.4464873276513607,"score_spread":0.38265206850069894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2749249183","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964152,0.00016490089,0.00031414212,0.00015086053,0.000051523064,0.00030175177,0.0000010908514,0.000009662512,0.0025908472],"genre_scores_gemma":[0.9995985,0.00008351158,0.00004764101,0.0000034011757,0.000102140584,0.0000051997235,0.000009705749,0.000003629494,0.0001462499],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99826807,0.00046513174,0.0004228635,0.00023125504,0.00042952248,0.00018314189],"domain_scores_gemma":[0.99805266,0.00029926896,0.0009376746,0.00049823837,0.00016200938,0.000050166167],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041923216,0.00010061931,0.0003706772,0.00010298525,0.0008448159,0.0001298329,0.00040303395,0.00006750551,0.00023852286],"category_scores_gemma":[0.0003922642,0.00007135034,0.0006932948,0.00045221383,0.00029776467,0.00035947523,0.00006642824,0.00009370795,5.288347e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007631118,0.00007293076,0.9840661,0.0000019518225,0.0006026747,2.0918162e-7,0.00068892003,0.0003876421,0.00005917718,0.0005163172,0.000012551395,0.013515207],"study_design_scores_gemma":[0.00027522142,0.00014306397,0.9843203,0.00003380847,0.0010616567,2.4041642e-8,0.00021747044,0.000265841,0.0000606985,0.01354752,0.000004527178,0.00006990181],"about_ca_topic_score_codex":0.024670033,"about_ca_topic_score_gemma":0.13636754,"teacher_disagreement_score":0.11169751,"about_ca_system_score_codex":0.000033317763,"about_ca_system_score_gemma":0.00007554525,"threshold_uncertainty_score":0.98182476},"labels":[],"label_agreement":null},{"id":"W2749278013","doi":"10.3141/2665-07","title":"Homelessness vis-à-vis Transportation-Induced Social Exclusion: An Econometric Investigation of Travel Behavior of Homeless Individuals in Toronto, Canada","year":2017,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto","keywords":"TRIPS architecture; Social exclusion; Travel behavior; Mode choice; Econometric model; Demographic economics; Decision process; Psychology; Public economics; Transport engineering; Public transport; Economics; Economic growth; Engineering; Econometrics","score_opus":0.12240901484387733,"score_gpt":0.4147982681612008,"score_spread":0.29238925331732346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2749278013","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958687,0.00017783573,0.00005146637,0.0011769868,0.00056993216,0.0014024659,0.00046885313,0.000011224756,0.00027253327],"genre_scores_gemma":[0.9988317,0.00038896746,0.00024202064,0.000013837172,0.00021994542,0.00009381362,0.000084754094,0.000048864367,0.00007612771],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9889717,0.0015764982,0.0027165578,0.00058379996,0.005142611,0.0010088284],"domain_scores_gemma":[0.9919104,0.0007114376,0.0020229463,0.00072843704,0.004083079,0.00054370344],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0077248015,0.0003313504,0.001110655,0.0010243977,0.0018082272,0.00017681022,0.0027625873,0.00040171065,0.0006667772],"category_scores_gemma":[0.00024037145,0.0002984812,0.0004115134,0.001991876,0.0016802521,0.0026164218,0.000008051962,0.0014815112,8.339191e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051019026,0.00042033195,0.9611677,0.00031755154,0.00007712973,0.0000462112,0.026097616,0.000039691273,0.0026187662,0.0021812317,0.00008871928,0.006434851],"study_design_scores_gemma":[0.0018949093,0.00030554848,0.96800923,0.00025320728,0.00009025916,3.5290753e-8,0.02367447,0.000011561512,0.004289369,0.0010118632,0.00019089466,0.0002686495],"about_ca_topic_score_codex":0.93115574,"about_ca_topic_score_gemma":0.99681485,"teacher_disagreement_score":0.06565916,"about_ca_system_score_codex":0.0010602108,"about_ca_system_score_gemma":0.005202376,"threshold_uncertainty_score":0.9999467},"labels":[],"label_agreement":null},{"id":"W2749688566","doi":"10.1155/2017/4720627","title":"Impacts of Smart Configuration in Pedelec-Sharing: Evidence from a Panel Survey in Madrid","year":2017,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Bike sharing; TRIPS architecture; Promotion (chess); Sustainable transport; Computer science; Transport engineering; Engineering","score_opus":0.08977425511163306,"score_gpt":0.36187374785911225,"score_spread":0.2720994927474792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2749688566","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985989,0.0002652153,0.00039735017,0.00024428646,0.00025042356,0.00015979783,0.000021562584,0.000004086359,0.000058404483],"genre_scores_gemma":[0.9992093,0.0003805337,0.0003050902,0.0000087457865,0.000055802044,0.0000019214401,0.00001918239,0.0000059921545,0.00001342563],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983577,0.000089091474,0.0008192621,0.00015852445,0.00040117968,0.00017422381],"domain_scores_gemma":[0.99816847,0.00021231089,0.0010648193,0.00017777238,0.00029751807,0.00007913568],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014878262,0.00009071525,0.0003023522,0.00012616646,0.00011095458,0.000050405983,0.00037035067,0.00008332285,0.000055288794],"category_scores_gemma":[0.00059206336,0.00008781794,0.00007644162,0.00016392833,0.00011475469,0.0023103966,0.0000015711867,0.00020658843,6.586532e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005349412,0.000076080054,0.98284554,0.000020893916,0.0000066393955,0.00002288935,0.009590799,0.0009531692,0.0047521386,0.00003257735,0.0000017693559,0.0011625862],"study_design_scores_gemma":[0.00083863724,0.00006886625,0.9937318,0.00044877685,0.000014792762,8.04981e-8,0.00074187585,0.000011395529,0.0025301166,0.0015153561,0.000013612248,0.00008468234],"about_ca_topic_score_codex":0.029564286,"about_ca_topic_score_gemma":0.4592332,"teacher_disagreement_score":0.4296689,"about_ca_system_score_codex":0.00009038087,"about_ca_system_score_gemma":0.0002505153,"threshold_uncertainty_score":0.97689795},"labels":[],"label_agreement":null},{"id":"W2750090923","doi":"10.3141/2652-09","title":"Modeling the Impact of Transit Fare Change on Passengers’ Accessibility","year":2017,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Transit (satellite); Public transport; Multinomial logistic regression; Transport engineering; Equity (law); Business; Agency (philosophy); Computer science; Engineering; Political science","score_opus":0.28712612965503975,"score_gpt":0.4955556067950487,"score_spread":0.20842947714000892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2750090923","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9887744,0.00018893537,0.00045764685,0.0075909914,0.000468183,0.001592471,0.0001363193,0.000022045544,0.0007690044],"genre_scores_gemma":[0.9982665,0.0007726364,0.00011589075,0.000025892818,0.00046440595,0.000072476636,0.000009756487,0.000039911152,0.00023251651],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98986614,0.0020430726,0.0015154475,0.00051304244,0.00496127,0.001101006],"domain_scores_gemma":[0.9918411,0.0009821403,0.00083119137,0.0013376188,0.0045500286,0.00045795503],"candidate_categories":["sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.011607082,0.00029501313,0.0006123973,0.000530288,0.004091966,0.0004249092,0.0038321922,0.0002881305,0.00053434516],"category_scores_gemma":[0.00056609657,0.00017411957,0.0010963135,0.0011550769,0.0024525195,0.001811432,0.000010411052,0.0026622668,0.000008216061],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021301853,0.0005076357,0.96030974,0.00015736108,0.00021114865,0.00004467701,0.021539174,0.0023907996,0.0005747883,0.001647197,0.00051086943,0.009976403],"study_design_scores_gemma":[0.0010093447,0.00045040375,0.98729473,0.00034561678,0.00005669622,4.2574705e-8,0.004457092,0.0005120832,0.00030630213,0.004844121,0.00054854923,0.00017502366],"about_ca_topic_score_codex":0.19424184,"about_ca_topic_score_gemma":0.28091818,"teacher_disagreement_score":0.08667635,"about_ca_system_score_codex":0.0003916234,"about_ca_system_score_gemma":0.0013615071,"threshold_uncertainty_score":0.9996386},"labels":[],"label_agreement":null},{"id":"W2751389548","doi":"","title":"Perceptions des environnements de marche connus et inconnus chez des collégiens piétons en France","year":2016,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.02111045485925361,"score_gpt":0.27451556900890156,"score_spread":0.25340511414964795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2751389548","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.774013,0.0012932549,0.0823072,0.018831385,0.00030814228,0.00074502017,0.00044486322,0.00021247711,0.12184468],"genre_scores_gemma":[0.88706,0.0029684156,0.031059781,0.00018317536,0.00008422576,0.00017448285,0.00023357537,0.00005957527,0.0781768],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98116225,0.015028639,0.0008710827,0.0012015396,0.00068834476,0.0010481449],"domain_scores_gemma":[0.9922553,0.0032221216,0.0006024019,0.0018248233,0.0015008821,0.0005945171],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.013402974,0.0005617451,0.00059316267,0.00015417102,0.0022298489,0.00045550845,0.0022901313,0.0006431439,0.0036088116],"category_scores_gemma":[0.0020870226,0.0005707137,0.0004432344,0.00064294244,0.0059091244,0.0006035964,0.000891932,0.00094566296,0.00025347708],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023434159,0.001582182,0.601079,0.00027811062,0.00016233178,0.000010989831,0.18014772,0.000028201288,0.0047463537,0.13789728,0.0003487414,0.073695645],"study_design_scores_gemma":[0.0009938319,0.0000015168127,0.8302484,0.0028777614,0.00016865673,0.0000047205504,0.0028387443,0.0005137261,0.0039547626,0.05979666,0.09770346,0.0008977175],"about_ca_topic_score_codex":0.010879824,"about_ca_topic_score_gemma":0.042931087,"teacher_disagreement_score":0.22916943,"about_ca_system_score_codex":0.0009900286,"about_ca_system_score_gemma":0.0011194873,"threshold_uncertainty_score":0.99967444},"labels":[],"label_agreement":null},{"id":"W2751926292","doi":"10.1016/b978-0-12-374387-9.00055-6","title":"From Society to Behavior","year":2010,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Vancouver Community College","funders":"","keywords":"Psychology","score_opus":0.02377449317205478,"score_gpt":0.2940662628095644,"score_spread":0.2702917696375096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2751926292","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0076657506,0.00017645165,0.0000034398663,0.00023394078,0.0011828807,0.00077946397,0.00020518673,0.00014672187,0.98960614],"genre_scores_gemma":[0.0061981026,0.000016956645,0.0012840085,0.0006375815,0.0024171728,0.00005792969,0.00005402411,0.000057308447,0.98927695],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980723,0.000018484445,0.0003572811,0.00060420786,0.000576084,0.0003716108],"domain_scores_gemma":[0.9987614,0.00005444904,0.0001487785,0.000567024,0.0001203473,0.00034800393],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00034978567,0.00031312124,0.00042099247,0.00003743817,0.0004720192,0.00011594812,0.0006455801,0.0008097816,0.004396833],"category_scores_gemma":[0.000012139154,0.0003080144,0.0004989104,0.000014877537,0.00044764797,0.000067965295,0.00007181705,0.0008042659,0.0005239604],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000054281186,0.000015356194,0.0010129585,0.000009210986,0.000038956583,0.000013485229,0.0085825855,4.9813247e-9,0.00013171103,0.0013035984,0.0004988735,0.9883878],"study_design_scores_gemma":[0.0000838634,0.000010638741,0.0013448664,0.00006234512,0.00015731393,5.3558566e-8,0.00007740652,2.7752481e-8,0.000055183675,0.013851248,0.9839751,0.00038191484],"about_ca_topic_score_codex":0.00018764612,"about_ca_topic_score_gemma":0.008712101,"teacher_disagreement_score":0.98800594,"about_ca_system_score_codex":0.000102156315,"about_ca_system_score_gemma":0.00032526712,"threshold_uncertainty_score":0.9999372},"labels":[],"label_agreement":null},{"id":"W2752166301","doi":"10.3141/2658-07","title":"Real-Time Riders: A First Look at User Interaction Data from the Back End of a Transit and Shared Mobility Smartphone App","year":2017,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Société de Transport de Montréal","funders":"","keywords":"Transit (satellite); Public transport; Data collection; Travel behavior; Computer science; Transport engineering; Travel survey; Set (abstract data type); Metropolitan area; Data set; TRIPS architecture; Big data; Engineering; Data mining; Geography","score_opus":0.16405087132972754,"score_gpt":0.42339527903547636,"score_spread":0.25934440770574885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2752166301","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98607886,0.00023103674,0.00015213732,0.010360701,0.0003589616,0.0013055726,0.0008998182,0.000020358559,0.00059254066],"genre_scores_gemma":[0.9949691,0.0024970768,0.00063648616,0.000022284981,0.00028829134,0.000030833977,0.00014145003,0.000036732992,0.0013777035],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9919424,0.0015066899,0.0014926953,0.0006991144,0.0035799376,0.0007791781],"domain_scores_gemma":[0.9920097,0.0026127645,0.0009791817,0.0018041123,0.0021789123,0.00041535884],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.008127572,0.00026227787,0.0005917899,0.0002586311,0.0030833576,0.00044339907,0.003545554,0.0002492926,0.0032524157],"category_scores_gemma":[0.0005793015,0.00018088258,0.00033438546,0.0006776099,0.0036411844,0.0025275766,0.0000404123,0.001542187,0.00003826574],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0032391106,0.00037425794,0.9643973,0.00020523838,0.00024044447,0.000034747572,0.014703967,0.000056406625,0.0034521867,0.00013648749,0.010647119,0.002512712],"study_design_scores_gemma":[0.001454861,0.00016359481,0.9739047,0.00042400562,0.000110658206,1.1165402e-7,0.004238545,0.00009137504,0.00062177493,0.0013709861,0.017447852,0.00017148322],"about_ca_topic_score_codex":0.23598991,"about_ca_topic_score_gemma":0.73961943,"teacher_disagreement_score":0.5036295,"about_ca_system_score_codex":0.000267268,"about_ca_system_score_gemma":0.00090617075,"threshold_uncertainty_score":0.99907035},"labels":[],"label_agreement":null},{"id":"W2753263736","doi":"10.1177/0042098017712680","title":"Rapid transit, transit-oriented development, and the contextual sensitivity of land value uplift in Toronto","year":2017,"lang":"en","type":"article","venue":"Urban Studies","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":76,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"","keywords":"Transit-oriented development; Transit (satellite); Context (archaeology); Land use; Proxy (statistics); Smart growth; Geography; Transport engineering; Business; Economic geography; Public transport; Computer science; Civil engineering; Engineering","score_opus":0.04020030605919556,"score_gpt":0.3249733265847719,"score_spread":0.28477302052557635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2753263736","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97983897,0.009608834,0.000112252754,0.00090099237,0.00018845743,0.00034706597,0.000011905179,0.00002183432,0.008969711],"genre_scores_gemma":[0.9989481,0.0005313419,0.00007567329,0.0000504582,0.000072545765,0.000011962121,0.000001540016,0.000005203484,0.0003031685],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987637,0.00023834858,0.00028645963,0.0002349282,0.00023677181,0.00023982768],"domain_scores_gemma":[0.9991882,0.00032828352,0.00012956266,0.00021768939,0.00008871588,0.00004757705],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019822,0.00013045079,0.0004206434,0.000017083754,0.0010094196,0.000038387672,0.00015888044,0.000058624857,0.000015378388],"category_scores_gemma":[0.00021883257,0.00008845258,0.000063373416,0.000045876783,0.001817291,0.00031247202,0.000029460449,0.00008960903,6.218082e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029221398,0.000083363746,0.77622795,0.000052796782,0.0001715529,0.0000134845295,0.20437087,5.5737087e-7,0.000038029408,0.007272879,0.00016054283,0.01131578],"study_design_scores_gemma":[0.0026280496,0.00002082966,0.96126246,0.00007568109,0.00006163568,2.6697086e-7,0.026346346,0.00001852569,0.00034768382,0.00033951137,0.008713507,0.00018551011],"about_ca_topic_score_codex":0.021818798,"about_ca_topic_score_gemma":0.4188371,"teacher_disagreement_score":0.3970183,"about_ca_system_score_codex":0.00006928159,"about_ca_system_score_gemma":0.000081315746,"threshold_uncertainty_score":0.984695},"labels":[],"label_agreement":null},{"id":"W2753793747","doi":"10.15760/etd.3449","title":"Issues in Urban Trip Generation","year":2017,"lang":"en","type":"dissertation","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Trip generation; Transport engineering; Engineering; Operations research; Regional science; Geography","score_opus":0.044775602009681004,"score_gpt":0.3773689028831504,"score_spread":0.3325933008734694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2753793747","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5238262,0.0006524381,0.0000018683843,0.0002287372,0.00097409176,0.00021360011,0.0000030149433,0.00003989451,0.47406015],"genre_scores_gemma":[0.61831945,0.00013390233,0.000031880063,0.000015601558,0.00071115914,0.000013629102,0.0004829224,0.000006374821,0.38028508],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990279,0.00005462073,0.0002130666,0.00025827435,0.00026899116,0.00017712227],"domain_scores_gemma":[0.9995272,0.000011432746,0.00013160733,0.00021453288,0.00006852426,0.00004666435],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00042223005,0.00010771397,0.0001893151,0.000077563884,0.0003798623,0.00019059867,0.00031228494,0.000302748,0.0017855421],"category_scores_gemma":[0.00008692634,0.000101270016,0.00006617814,0.000071615,0.00005007921,0.00033114164,0.000001704055,0.00014886066,0.00004029879],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000739293,0.0002568593,0.7766431,0.00013060897,0.000029080873,0.000021518485,0.079157285,8.729199e-7,0.00058672135,0.013759981,0.06350976,0.065830305],"study_design_scores_gemma":[0.00034569672,0.000018444185,0.6879721,0.00008583387,0.000035353813,1.0178056e-8,0.0061878837,0.000022322825,0.0018275685,0.0027065102,0.30029187,0.0005063868],"about_ca_topic_score_codex":0.03351278,"about_ca_topic_score_gemma":0.5922282,"teacher_disagreement_score":0.5587154,"about_ca_system_score_codex":0.000059979036,"about_ca_system_score_gemma":0.00025009364,"threshold_uncertainty_score":0.999127},"labels":[],"label_agreement":null},{"id":"W2753800230","doi":"10.1016/j.jtrangeo.2017.08.005","title":"Informality and accessibility to jobs by public transit: Evidence from the São Paulo Metropolitan Region","year":2017,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":100,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Metropolitan area; Public transport; Wage; Informal sector; Socioeconomic status; Business; Public sector; Demographic economics; Minimum wage; Labour economics; Multilevel model; Economics; Economic growth; Geography; Population; Transport engineering; Sociology; Engineering","score_opus":0.04869279350079726,"score_gpt":0.32607550925927326,"score_spread":0.277382715758476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2753800230","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9806222,0.0019676557,0.0018231014,0.013975426,0.0004221501,0.0003336928,0.0000765414,0.00002695413,0.00075231487],"genre_scores_gemma":[0.9979033,0.0009552449,0.00029130446,0.00047620558,0.00032710607,0.000005144017,0.000005451756,0.000010591242,0.000025638334],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99703443,0.00020000589,0.0009241468,0.00034840286,0.000988272,0.00050476234],"domain_scores_gemma":[0.9971388,0.00024107464,0.0007899548,0.0007865377,0.0004506482,0.0005929933],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0033018778,0.00023338903,0.00048689175,0.00013388389,0.0018966203,0.00052644924,0.0019337486,0.0001738845,0.00011001535],"category_scores_gemma":[0.00030085954,0.0001577761,0.00049704564,0.0003761437,0.0009775602,0.0038405084,0.000025410818,0.0005046285,0.0000012416712],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017172676,0.00008855824,0.98872685,0.000018287754,0.0000860972,0.000018070554,0.005201028,3.1541435e-7,0.00005041651,0.00006940605,0.00049702753,0.005072231],"study_design_scores_gemma":[0.00038361992,0.000092614275,0.98691505,0.00011333485,0.00015598843,0.0000012814684,0.0027434388,7.3954595e-7,0.00010008061,0.00212838,0.0071720257,0.00019343168],"about_ca_topic_score_codex":0.014994844,"about_ca_topic_score_gemma":0.03866329,"teacher_disagreement_score":0.023668448,"about_ca_system_score_codex":0.00008001226,"about_ca_system_score_gemma":0.00024223945,"threshold_uncertainty_score":0.99940276},"labels":[],"label_agreement":null},{"id":"W2754018453","doi":"10.1016/j.tbs.2017.09.002","title":"A spatio-temporal accessibility measure for modelling activity participation in discretionary activities","year":2017,"lang":"en","type":"article","venue":"Travel Behaviour and Society","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":51,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Agentschap Innoveren en Ondernemen","keywords":"Aggregate (composite); Measure (data warehouse); Correlation; Econometrics; Distribution (mathematics); Computer science; Psychology; Economics; Mathematics","score_opus":0.08393718504038239,"score_gpt":0.37098945002088696,"score_spread":0.28705226498050457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2754018453","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98551804,0.00003215485,0.012666785,0.00046911868,0.000110025205,0.00051611074,0.00006721045,0.00003286571,0.00058771914],"genre_scores_gemma":[0.998657,0.000026772232,0.0008180793,0.000015232025,0.00010887588,0.000100818936,0.00002980028,0.000009629193,0.00023382338],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987672,0.00007715949,0.00020801242,0.00036366037,0.0002708086,0.0003131497],"domain_scores_gemma":[0.9993364,0.000073443174,0.00016378003,0.00025444516,0.00006639866,0.00010548875],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0012053279,0.00013129118,0.00022254541,0.00001600363,0.001669731,0.00024152003,0.00021614307,0.00018165485,0.000025996826],"category_scores_gemma":[0.000040082814,0.00012784464,0.00016694803,0.000047585934,0.0004866732,0.0012162924,0.000025085033,0.00017823334,2.3269848e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006880399,0.00018644179,0.98307073,0.000028595394,0.0000070820884,4.4583103e-7,0.014250092,0.000011681304,0.000039897124,0.00036479413,0.000017581984,0.0019538365],"study_design_scores_gemma":[0.0005614029,0.00001762874,0.9911136,0.000021744832,0.000034977642,2.9583585e-8,0.0024402773,0.0033036193,0.00019251689,0.0021290968,0.000021499614,0.00016363227],"about_ca_topic_score_codex":0.009092134,"about_ca_topic_score_gemma":0.016123155,"teacher_disagreement_score":0.013138958,"about_ca_system_score_codex":0.00009662025,"about_ca_system_score_gemma":0.0001621398,"threshold_uncertainty_score":0.99963},"labels":[],"label_agreement":null},{"id":"W2754121288","doi":"10.3141/2661-02","title":"Using Embodied Videos of Walking Interviews in Walkability Assessment","year":2017,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Walkability; Pedestrian; Embodied cognition; Built environment; Perception; Applied psychology; Geospatial analysis; Level design; Psychology; Scope (computer science); Perspective (graphical); Computer science; Transport engineering; Human–computer interaction; Engineering; Geography; Civil engineering; Artificial intelligence","score_opus":0.27846673119476434,"score_gpt":0.5195045652879242,"score_spread":0.24103783409315988,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2754121288","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9931113,0.00012694567,0.0007448139,0.0024083862,0.000601261,0.0011488531,0.0000379586,0.000012295026,0.0018081905],"genre_scores_gemma":[0.99677104,0.0004591491,0.0023239856,0.00001398983,0.00017295037,0.000029241723,0.0000049539917,0.000028478426,0.00019623025],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9894725,0.0027218326,0.0021301208,0.00046238987,0.004248425,0.0009647242],"domain_scores_gemma":[0.99312603,0.0009492671,0.0012386821,0.00092946104,0.0034112406,0.00034529864],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.018933821,0.00022016166,0.0006888901,0.0008200968,0.0018170106,0.00026373318,0.0025951525,0.00023959354,0.00051545317],"category_scores_gemma":[0.0006853954,0.00017348155,0.0005330782,0.0011610074,0.0023239183,0.0016193078,0.000016032838,0.002260523,0.0000027985063],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004905022,0.00044327264,0.9774978,0.00025608006,0.00005437825,0.00004773015,0.0092756655,0.00011225846,0.0018938876,0.0036300358,0.00011198523,0.0061863665],"study_design_scores_gemma":[0.0011443376,0.00018655682,0.97933435,0.00065288105,0.00003686815,3.816143e-8,0.005179558,0.00009605773,0.00069208915,0.010815967,0.0017064394,0.0001548491],"about_ca_topic_score_codex":0.14067398,"about_ca_topic_score_gemma":0.5413453,"teacher_disagreement_score":0.4006713,"about_ca_system_score_codex":0.0005993777,"about_ca_system_score_gemma":0.0017894069,"threshold_uncertainty_score":0.9994825},"labels":[],"label_agreement":null},{"id":"W2754686858","doi":"10.1016/j.jshs.2017.09.005","title":"Environments favorable to healthy lifestyles: A systematic review of initiatives in Canada","year":2017,"lang":"en","type":"review","venue":"Journal of sport and health science/Journal of Sport and Health Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Trois-Rivières; Université du Québec à Montréal","funders":"","keywords":"Psychology; Gerontology; Political science; Medicine","score_opus":0.13131460177620133,"score_gpt":0.4410806390980288,"score_spread":0.3097660373218275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2754686858","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011967097,0.9820395,0.0000011910759,0.0029521608,0.0010113297,0.0018312406,0.000005836409,0.0000024842445,0.00018916359],"genre_scores_gemma":[0.08161918,0.9160506,0.0004887058,0.0015394482,0.00024185081,0.000007246012,0.0000013610992,0.000015184037,0.000036424804],"study_design_codex":"observational","study_design_gemma":"systematic_review","domain_scores_codex":[0.98705584,0.0000094314855,0.0068902173,0.00062552997,0.004023937,0.0013950318],"domain_scores_gemma":[0.97970307,0.000014483104,0.016097527,0.0005029895,0.00076281885,0.0029191244],"candidate_categories":["metaresearch","metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.04421027,0.00047539562,0.006267711,0.0016139824,0.0018352938,0.0001930583,0.0026720094,0.00012567104,0.000022877883],"category_scores_gemma":[0.000041667416,0.00033746782,0.00031271804,0.0022897488,0.0023753883,0.0023748677,0.0001575005,0.0011239732,8.0025075e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021620546,0.0001323121,0.63761514,0.35174188,0.000019358102,0.00009795409,0.0020221916,6.9922686e-7,2.1815014e-8,0.0002801208,0.00013411065,0.007934559],"study_design_scores_gemma":[0.0003414714,0.0007226465,0.4190885,0.5042022,0.00016510974,0.00019745567,0.0019961786,0.0000010255167,2.5567002e-7,0.00004629779,0.072901666,0.00033721092],"about_ca_topic_score_codex":0.1696378,"about_ca_topic_score_gemma":0.15023959,"teacher_disagreement_score":0.21852665,"about_ca_system_score_codex":0.0031838103,"about_ca_system_score_gemma":0.13154694,"threshold_uncertainty_score":0.99990773},"labels":[],"label_agreement":null},{"id":"W2755186128","doi":"10.2139/ssrn.3033166","title":"A High-Resolution, Yet Scalable Framework for Transport Infrastructure Accessibility Based on Open Big Data","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Natural Science Foundation of China","keywords":"Big data; Scalability; Data science; Computer science; Open data; High resolution; Business; World Wide Web; Data mining; Database; Remote sensing; Geography","score_opus":0.052288719427167965,"score_gpt":0.3553766048417289,"score_spread":0.30308788541456094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2755186128","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7318032,0.00046305975,0.2465799,0.011792007,0.0030730274,0.0019357098,0.0005182179,0.00011183889,0.0037230833],"genre_scores_gemma":[0.99404025,0.00019515572,0.003307822,0.0002676858,0.0013139358,0.000022218486,0.000107074775,0.000026667081,0.000719163],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99576414,0.00015593578,0.00048252268,0.0007070292,0.00060017343,0.0022901765],"domain_scores_gemma":[0.99703604,0.00017987652,0.0005431879,0.0017840675,0.0002201667,0.00023667164],"candidate_categories":["sts","open_science"],"consensus_categories":[],"category_scores_codex":[0.00713852,0.00023776449,0.00038915267,0.00007091923,0.0043542865,0.0009030828,0.006346698,0.00030250524,0.00022522436],"category_scores_gemma":[0.0009806621,0.00020090834,0.00014776067,0.00017894254,0.00044787666,0.0017054876,0.00013084212,0.0018575459,0.0000060059238],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010664419,0.00044641976,0.7662791,0.000034965098,0.00014038682,0.0000050254916,0.00036500167,0.00014096145,0.000016286662,0.17905551,0.001280831,0.05116904],"study_design_scores_gemma":[0.0010976383,0.00013653474,0.34657598,0.00006629215,0.00007348047,7.97476e-7,0.000257561,0.00022209833,0.000016460903,0.64405334,0.0072580515,0.00024177936],"about_ca_topic_score_codex":0.005903686,"about_ca_topic_score_gemma":0.067825,"teacher_disagreement_score":0.4649978,"about_ca_system_score_codex":0.0007921158,"about_ca_system_score_gemma":0.00849066,"threshold_uncertainty_score":0.99902946},"labels":[],"label_agreement":null},{"id":"W2755309423","doi":"10.1080/15568318.2017.1377326","title":"What drives sustainable student travel? Mode choice determinants in the Greater Toronto Area","year":2017,"lang":"en","type":"article","venue":"International Journal of Sustainable Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":71,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Mode choice; Multinomial logistic regression; Sample (material); Sustainability; Population; Mode (computer interface); Sustainable transport; Travel behavior; Marketing; Psychology; Business; Economics; Sociology; Public transport; Transport engineering; Computer science; Demography; Engineering; Microeconomics","score_opus":0.022283927473487352,"score_gpt":0.3632344028081012,"score_spread":0.34095047533461387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2755309423","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99394536,0.00026132722,0.00025212692,0.0024576706,0.0006384882,0.00036775522,0.000004788504,0.000007722112,0.0020647892],"genre_scores_gemma":[0.9957103,0.00042030364,0.000033102904,0.00011903846,0.00036595034,0.000018595,0.000006991594,0.000010741245,0.0033149843],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99749833,0.00010641904,0.0006385409,0.00019621005,0.0011245566,0.00043593228],"domain_scores_gemma":[0.9976376,0.00009848355,0.0006490996,0.00023568957,0.0012884417,0.00009062808],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0014537327,0.00015218658,0.00023527583,0.00012455744,0.0006521709,0.0012060376,0.0017135579,0.000096898475,0.0001673033],"category_scores_gemma":[0.00013418826,0.0001147836,0.00016479645,0.00007373075,0.00022651447,0.007875457,0.000010747241,0.00020789546,9.938738e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019112216,0.0002637522,0.8832279,0.000033846765,0.00005878498,0.0017548085,0.10442064,0.0001311418,0.000023933588,0.008326197,0.00008235845,0.0014855466],"study_design_scores_gemma":[0.00073690544,0.000046103876,0.7600851,0.00006682167,0.000035245605,0.0000018731976,0.23273467,0.000010762068,0.00009010988,0.0031974984,0.0028890169,0.00010588917],"about_ca_topic_score_codex":0.025525,"about_ca_topic_score_gemma":0.06628588,"teacher_disagreement_score":0.12831403,"about_ca_system_score_codex":0.00056471897,"about_ca_system_score_gemma":0.00035798748,"threshold_uncertainty_score":0.9998308},"labels":[],"label_agreement":null},{"id":"W2756678904","doi":"10.1016/j.jtrangeo.2017.09.004","title":"The impact of metropolitan, county, and local land use on driving emissions in US metropolitan areas: Mediator effects of vehicle travel characteristics","year":2017,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Metropolitan area; Vehicle miles of travel; Greenhouse gas; Context (archaeology); Land use; Travel behavior; Proxy (statistics); Transport engineering; Environmental science; Business; Geography; Engineering; Civil engineering","score_opus":0.01157615704509506,"score_gpt":0.2961729242147586,"score_spread":0.28459676716966353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2756678904","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986284,0.00047341338,0.00006522885,0.00017004478,0.00019547991,0.00016104238,0.00007057436,0.0000040773143,0.00023173515],"genre_scores_gemma":[0.9989981,0.00083184533,0.000038903923,0.000007676809,0.000100559395,0.0000014505661,0.0000021629291,0.000010998108,0.00000831475],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980809,0.000110134795,0.00074158184,0.00014632945,0.00059122103,0.00032985126],"domain_scores_gemma":[0.9977375,0.0005399096,0.0008970203,0.0002959305,0.00024539587,0.00028423168],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011291805,0.00016587909,0.0005576596,0.00025370007,0.00047004005,0.000062706305,0.0005020452,0.00012236129,0.000014116049],"category_scores_gemma":[0.00030440927,0.00010432139,0.0004547747,0.00021937079,0.0012290545,0.00043776075,0.000008755904,0.00032838984,8.35811e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018465707,0.0002353599,0.9977093,0.00004777158,0.00013522377,0.00003668488,0.00065517717,0.0000015755504,0.00027568452,0.00014558765,0.000012862685,0.00056016777],"study_design_scores_gemma":[0.00072463194,0.00028725291,0.9968656,0.00023860855,0.00012747206,8.5689925e-7,0.0007206861,0.000009595392,0.00046301956,0.00039320777,0.00006592331,0.000103156955],"about_ca_topic_score_codex":0.04225662,"about_ca_topic_score_gemma":0.017179018,"teacher_disagreement_score":0.025077604,"about_ca_system_score_codex":0.00015367159,"about_ca_system_score_gemma":0.00029731684,"threshold_uncertainty_score":0.9641211},"labels":[],"label_agreement":null},{"id":"W2756910502","doi":"10.1177/0042098017724119","title":"Transit-oriented economic development: The impact of light rail on new business starts in the Phoenix, AZ Region, USA","year":2017,"lang":"en","type":"article","venue":"Urban Studies","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":73,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Phoenix; Light rail; Light rail transit; Mile; Business; Quarter (Canadian coin); Control (management); Economy; Engineering; Transport engineering; Geography; Economics; Management; Metropolitan area; Public transport","score_opus":0.06848300282322405,"score_gpt":0.343029178735003,"score_spread":0.27454617591177893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2756910502","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9854492,0.0010219256,0.000010112834,0.0050056153,0.00027965047,0.00032650866,0.0000044425137,0.000013569619,0.007888953],"genre_scores_gemma":[0.9982276,0.00018352238,0.000010987031,0.00006450263,0.00021517409,0.000013583825,0.0000017100386,0.0000063172056,0.001276589],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988574,0.00009735674,0.00030437403,0.00023686198,0.00021811652,0.00028591452],"domain_scores_gemma":[0.99904144,0.00014300874,0.00022144418,0.0004568636,0.00009442939,0.000042822732],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0006731533,0.00015628427,0.00028316278,0.0000441554,0.0013189276,0.00008339237,0.0006931676,0.000048472393,0.00004206607],"category_scores_gemma":[0.00013473017,0.000080448204,0.000104106286,0.00014143695,0.0005706676,0.0002780712,0.00003028349,0.000115717055,0.000013053423],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000864035,0.00007970582,0.8198173,0.000012489548,0.00011711788,0.000006411035,0.15751994,0.00001151982,0.000009049913,0.00070717616,0.019328486,0.0023043961],"study_design_scores_gemma":[0.0003831776,0.000024303223,0.9638721,0.000050439718,0.000020051919,1.2863512e-7,0.00411465,6.9918315e-7,0.00011568924,0.0005773254,0.030728802,0.00011266899],"about_ca_topic_score_codex":0.008376216,"about_ca_topic_score_gemma":0.04999334,"teacher_disagreement_score":0.15340528,"about_ca_system_score_codex":0.00014677274,"about_ca_system_score_gemma":0.0003978764,"threshold_uncertainty_score":0.9999812},"labels":[],"label_agreement":null},{"id":"W2756943424","doi":"10.7202/1050582ar","title":"Leisure mobility and individuals’ relationship to the living environment: a comparison between the Paris and Rome urban regions.","year":2018,"lang":"en","type":"article","venue":"Environnement urbain","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Typology; Socioeconomic status; Argument (complex analysis); Context (archaeology); Social mobility; Sociology; Leisure activity; Demographic economics; Economic geography; Geography; Social psychology; Psychology; Demography; Social science; Economics; Population; Medicine","score_opus":0.035099283432394685,"score_gpt":0.2819984756903893,"score_spread":0.24689919225799464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2756943424","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98378104,0.0013845447,0.0009425423,0.011471433,0.000078190125,0.0008440534,0.000024360308,0.000040514715,0.0014333422],"genre_scores_gemma":[0.9979938,0.000047322817,0.00020417281,0.00019051161,0.00057730795,0.000060578932,0.000008709701,0.000011272388,0.00090632343],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997893,0.00053637475,0.00033618865,0.00043937238,0.00043604436,0.00035904598],"domain_scores_gemma":[0.9983929,0.00082423794,0.00012749745,0.00047284176,0.000010321813,0.00017221467],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002813177,0.00016572632,0.00020211346,0.000037972266,0.0023138286,0.00015355482,0.00036461244,0.000106729436,0.0002861929],"category_scores_gemma":[0.00016325721,0.00010947424,0.000045538087,0.0001826911,0.0012985403,0.00019084623,0.00016744675,0.0002662341,0.000046535286],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000029386738,0.00005388635,0.9667286,0.0000045168367,0.000018997185,1.5617778e-7,0.026340159,0.0000025021536,0.0000024100916,0.002664763,0.003207792,0.00097324187],"study_design_scores_gemma":[0.00009132593,0.000054325126,0.7985034,0.000014706052,0.00005466967,6.156611e-8,0.0023438183,0.00001314598,0.0000049053797,0.00085639354,0.19794324,0.00012002492],"about_ca_topic_score_codex":0.00094635505,"about_ca_topic_score_gemma":0.0017281341,"teacher_disagreement_score":0.19473545,"about_ca_system_score_codex":0.00007699596,"about_ca_system_score_gemma":0.0000253433,"threshold_uncertainty_score":0.99898505},"labels":[],"label_agreement":null},{"id":"W2758145709","doi":"10.1371/journal.pone.0185100","title":"Identifying the factors affecting bike-sharing usage and degree of satisfaction in Ningbo, China","year":2017,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":153,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Fundamental Research Funds for the Central Universities; Government of Jiangsu Province; China Postdoctoral Science Foundation; Ningbo University of Technology; Ningbo University; Graduate Research and Innovation Projects of Jiangsu Province; National Natural Science Foundation of China","keywords":"China; Bike sharing; Ordered probit; Business; Bivariate analysis; Perception; Population; Transport engineering; Computer science; Geography; Psychology; Engineering; Environmental health; Medicine","score_opus":0.1686450386809365,"score_gpt":0.330728955425193,"score_spread":0.16208391674425648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2758145709","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99732757,0.00007836451,0.00001681725,0.00007548871,0.000051718158,0.00015812166,0.0000016246892,0.00001841346,0.0022718944],"genre_scores_gemma":[0.9997327,0.000030241736,0.000094806215,0.0000019902247,0.00004484858,0.0000020858772,5.4123353e-7,0.000004391995,0.00008840743],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993059,0.00004013374,0.00013368267,0.00015114564,0.00022418016,0.00014492714],"domain_scores_gemma":[0.9995139,0.00007988195,0.00016157808,0.00019723403,0.000017371967,0.000030008869],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006830931,0.000055650453,0.00012661285,0.000034429304,0.0008350044,0.00014849068,0.00021288567,0.000043782005,0.000039282455],"category_scores_gemma":[0.0003208448,0.000043071937,0.000024338127,0.00006496755,0.00017441076,0.0005038851,0.00004647424,0.00013409085,7.5281804e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000028248492,0.000037715534,0.98376095,0.000040036462,0.000012502635,5.724905e-7,0.011377325,1.7123294e-7,0.0033265168,0.000038280734,2.6502138e-7,0.0014028077],"study_design_scores_gemma":[0.000090586786,0.0000057055577,0.9938553,0.00013927411,0.00002169415,1.2260098e-8,0.001488037,0.000024542253,0.0036612905,0.0006626996,6.462693e-7,0.0000502396],"about_ca_topic_score_codex":0.030187652,"about_ca_topic_score_gemma":0.054769695,"teacher_disagreement_score":0.024582043,"about_ca_system_score_codex":0.000027771346,"about_ca_system_score_gemma":0.000015147447,"threshold_uncertainty_score":0.97627044},"labels":[],"label_agreement":null},{"id":"W2758467382","doi":"10.1016/j.trd.2017.09.001","title":"Speed, travel time and delay for intersections and road segments in the Montreal network using cyclist Smartphone GPS data","year":2017,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":74,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Intersection (aeronautics); Transport engineering; Global Positioning System; Computer science; Work (physics); Routing (electronic design automation); Geometric design; Roundabout; Simulation; Engineering; Telecommunications","score_opus":0.1368174602756169,"score_gpt":0.3821968603419633,"score_spread":0.24537940006634643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2758467382","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9960864,0.0003197874,0.0007598648,0.00088347646,0.00006304071,0.0010189367,0.00038750953,0.000010920408,0.00047006187],"genre_scores_gemma":[0.9972793,0.0014691663,0.00032056583,0.00003198276,0.00015624374,0.000042582018,0.00045751026,0.000014478472,0.00022820108],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99795794,0.000096366675,0.00036561766,0.00056659814,0.0005000195,0.0005134476],"domain_scores_gemma":[0.99911505,0.000108541,0.00008773675,0.00048694998,0.00002100714,0.00018073349],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0024395082,0.00016217123,0.00023414532,0.00005873861,0.002035985,0.00014453601,0.00041966498,0.0001112967,0.00009872365],"category_scores_gemma":[0.000010178114,0.00013704,0.000040636645,0.000074815405,0.0011612326,0.0006091362,0.000011932691,0.00025200183,0.0000018426284],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021181644,0.00018269422,0.98413014,0.000049255283,0.000043949636,0.000030384259,0.009386121,0.00013112185,0.00011743701,0.00012226167,0.00010329162,0.005491551],"study_design_scores_gemma":[0.00090674683,0.00004984546,0.9926907,0.00004202918,0.00007126278,4.7433298e-7,0.0014503904,0.00092995015,0.000006495393,0.0006523198,0.003047937,0.00015183896],"about_ca_topic_score_codex":0.029293954,"about_ca_topic_score_gemma":0.12292014,"teacher_disagreement_score":0.093626186,"about_ca_system_score_codex":0.000034980538,"about_ca_system_score_gemma":0.00004921963,"threshold_uncertainty_score":0.9992632},"labels":[],"label_agreement":null},{"id":"W2758557969","doi":"10.5539/jsd.v10n5p198","title":"The Impact of Built Environment Characteristics on Energy Consumption Using Geographically Weighted Regression in Mashhad, Iran","year":2017,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Per capita; Energy consumption; Regression analysis; Geography; Population; Pedestrian; Consumption (sociology); Agricultural economics; Fuel efficiency; Linear regression; Transport engineering; Statistics; Demography; Economics; Mathematics; Engineering","score_opus":0.03232211806515622,"score_gpt":0.3185064745723075,"score_spread":0.2861843565071513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2758557969","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989965,0.00015367215,0.00015710497,0.00024244832,0.00010105235,0.00011607566,0.0000010498057,0.000002671006,0.0002294482],"genre_scores_gemma":[0.99860173,0.00067358353,0.0003316301,0.000007995584,0.00006178035,0.0000021409917,0.0000013374914,0.0000064914607,0.0003133228],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99824965,0.000114993985,0.0006399148,0.00011729605,0.000528164,0.00034999519],"domain_scores_gemma":[0.99832946,0.00007623205,0.0010804876,0.00021369853,0.00018490509,0.00011519007],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017237763,0.00011972314,0.00025001072,0.00016052258,0.0010878586,0.00013519637,0.00045667664,0.00009326766,0.00006688729],"category_scores_gemma":[0.00011951075,0.00007296561,0.000118625714,0.00008256272,0.00031517958,0.00033567083,0.000050066792,0.00018423326,5.332754e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003095019,0.00019170315,0.98849636,0.000021297166,0.000045869332,0.00013706087,0.0017487141,0.000022079912,0.0003094917,0.00045767083,0.000025651421,0.00823462],"study_design_scores_gemma":[0.00042029124,0.00006630453,0.9939985,0.00013650826,0.000011276194,0.0000010087684,0.0016028564,0.00003158548,0.0003450225,0.0009629395,0.0023298003,0.00009386763],"about_ca_topic_score_codex":0.0015215678,"about_ca_topic_score_gemma":0.00018102756,"teacher_disagreement_score":0.008140752,"about_ca_system_score_codex":0.00066783285,"about_ca_system_score_gemma":0.0006181431,"threshold_uncertainty_score":0.8367039},"labels":[],"label_agreement":null},{"id":"W2758904761","doi":"","title":"Children's mobility, health and happiness: A Canadian school travel planning model","year":2011,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Cape Breton University; Dalhousie University; University of Toronto","funders":"","keywords":"Action plan; Baseline (sea); Plan (archaeology); Happiness; Intervention (counseling); Psychology; Transport engineering; Business; Geography; Medicine; Engineering; Political science; Nursing; Social psychology","score_opus":0.062153406507175143,"score_gpt":0.30557417121750674,"score_spread":0.24342076471033158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2758904761","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8730478,0.00025168012,0.0009390952,0.0007042881,0.000049906448,0.00032575824,0.000018124343,0.000065447246,0.12459788],"genre_scores_gemma":[0.9969408,0.000016651167,0.0010235888,0.0009078669,0.00006794827,0.000008067679,0.0000074338823,0.0000060854195,0.0010215798],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99897367,0.000037711252,0.00017474998,0.00026442908,0.00014364946,0.0004058162],"domain_scores_gemma":[0.9988365,0.000008238587,0.000036475754,0.00014303905,0.000035110847,0.0009406094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004720883,0.00009025266,0.00014371028,0.00006906305,0.000541901,0.000045707904,0.00018285493,0.00007293771,0.00035311378],"category_scores_gemma":[0.00003117914,0.00008136524,0.00003060564,0.00014364021,0.00019044262,0.00028623303,0.000010367786,0.000117145544,0.00000725944],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004966361,0.00003119461,0.980762,0.000007236528,0.0000059552112,9.586237e-7,0.014682082,0.0000029404732,9.996531e-7,0.003520111,0.0004303239,0.00055123895],"study_design_scores_gemma":[0.0001490797,0.00001876753,0.98911077,0.00001345912,0.000004218783,2.2996007e-7,0.0031912436,0.0004062229,0.0000049505384,0.006838292,0.00012554869,0.00013724345],"about_ca_topic_score_codex":0.8391229,"about_ca_topic_score_gemma":0.7863506,"teacher_disagreement_score":0.12389295,"about_ca_system_score_codex":0.00009356642,"about_ca_system_score_gemma":0.0014995579,"threshold_uncertainty_score":0.4167919},"labels":[],"label_agreement":null},{"id":"W2758918578","doi":"10.1080/02697459.2017.1379336","title":"Implementing Dementia-Friendly Land Use Planning: An Evaluation of Current Literature and Financial Implications for Greenfield Development in Suburban Canada","year":2017,"lang":"en","type":"article","venue":"Planning Practice and Research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"Economic and Social Research Council; National Institute for Health and Care Research; Ryerson University","keywords":"Environmental planning; Business; Land use; Current (fluid); Environmentally friendly; Regional science; Environmental resource management; Economics; Geography; Engineering; Civil engineering","score_opus":0.2856301328418216,"score_gpt":0.5238275291220676,"score_spread":0.23819739628024605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2758918578","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99580884,0.0020337887,0.00007786271,0.0011042639,0.00006727846,0.00046626403,0.000026535436,0.0000039465294,0.00041121177],"genre_scores_gemma":[0.99921405,0.00005312415,0.0005089603,0.000013086984,0.00008027388,0.000054141605,0.00005149413,0.0000036824838,0.000021158638],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984935,0.00022530678,0.00020956385,0.00024376917,0.00047886127,0.0003489919],"domain_scores_gemma":[0.9984194,0.000595405,0.00015100735,0.00016432983,0.00057825167,0.00009158186],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.006645344,0.00006318262,0.000098274315,0.00008642597,0.0018273807,0.00037078236,0.00017941142,0.000057720703,0.0000047428734],"category_scores_gemma":[0.00289002,0.00005880672,0.000009142254,0.00010667248,0.00010762471,0.0010291843,0.000061566585,0.00023721515,3.4884607e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057987294,0.00004471924,0.96954966,0.0000531109,0.00000959505,0.0000017858334,0.011296647,0.0000025576564,0.000030817235,0.00036372105,0.0002872285,0.018302144],"study_design_scores_gemma":[0.0003838778,0.000029057437,0.9400087,0.00012921242,0.000025445686,3.0762033e-7,0.0013088596,0.000062153624,0.000061763356,0.00037041475,0.057545938,0.000074276664],"about_ca_topic_score_codex":0.13704015,"about_ca_topic_score_gemma":0.5062436,"teacher_disagreement_score":0.36920348,"about_ca_system_score_codex":0.000054579217,"about_ca_system_score_gemma":0.0013023866,"threshold_uncertainty_score":0.9994721},"labels":[],"label_agreement":null},{"id":"W2759994357","doi":"","title":"Modelling Intercity Travel Demand in the Quebec City – Windsor Corridor: A Study on the Effects of Local Accessibility Utilizing a Geographically Disaggregated Web-based Approach","year":2013,"lang":"en","type":"dissertation","venue":"TSpace","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Windsor; Transport engineering; Geography; Regional science; Business; Environmental planning; Engineering; Environmental science","score_opus":0.036335390263083946,"score_gpt":0.32897614056313973,"score_spread":0.29264075030005576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2759994357","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98895466,0.00018883728,0.0034046296,0.00014659564,0.00023914162,0.0039481516,0.000008383841,0.000060686198,0.003048907],"genre_scores_gemma":[0.9989308,0.000012134082,0.0000312651,0.000070796574,0.000057682482,0.00035666497,0.00008299059,0.000027192216,0.0004304834],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99513155,0.0016814858,0.0006843559,0.0008376659,0.0011375909,0.00052737794],"domain_scores_gemma":[0.9968497,0.0014802812,0.0005282462,0.00081064453,0.00021818563,0.0001129494],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0031765737,0.000459322,0.0007274744,0.00017824137,0.0005433738,0.00022359657,0.0014741458,0.0004603741,0.000064657805],"category_scores_gemma":[0.00029478644,0.00027327845,0.00033536504,0.0011177984,0.000677104,0.00020643641,0.000025852427,0.0011957245,0.0000020506893],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015137832,0.0076179476,0.66677284,0.0015204166,0.00020508934,0.00001834848,0.31782767,0.0012259537,0.00023786617,0.00070441456,0.00009122084,0.002264429],"study_design_scores_gemma":[0.001230816,0.00021393456,0.7682224,0.00060159084,0.00024555094,5.2098e-8,0.20876522,0.019400485,0.00041061494,0.00044612627,0.000010096395,0.00045312353],"about_ca_topic_score_codex":0.13427496,"about_ca_topic_score_gemma":0.2017349,"teacher_disagreement_score":0.109062456,"about_ca_system_score_codex":0.00015140638,"about_ca_system_score_gemma":0.00057519675,"threshold_uncertainty_score":0.9999719},"labels":[],"label_agreement":null},{"id":"W2760261488","doi":"10.1016/j.socscimed.2017.09.047","title":"A grounded visualization approach to explore sociospatial and temporal complexities of older adults' mobility","year":2017,"lang":"en","type":"article","venue":"Social Science & Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":41,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Simon Fraser University; British Columbia Centre of Excellence for Women's Health","funders":"Canadian Institutes of Health Research; University of British Columbia; Michael Smith Health Research BC","keywords":"Destinations; TRIPS architecture; Context (archaeology); Perception; Geovisualization; Qualitative property; Survey data collection; Grounded theory; Data science; Geography; Qualitative research; Psychology; Visualization; Computer science; Sociology; Information visualization; Data mining","score_opus":0.0897564088289535,"score_gpt":0.3890037969475109,"score_spread":0.29924738811855744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2760261488","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9683584,0.000036467824,0.0013201741,0.00140844,0.00027476647,0.0005084162,0.0000057345474,0.000041600582,0.028045997],"genre_scores_gemma":[0.99907243,0.000004436056,0.00009024822,0.00011757431,0.00059519085,0.00002178278,0.000008299429,0.000005509601,0.00008452935],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99783945,0.00007936221,0.0003069572,0.00041981295,0.0009958034,0.0003585929],"domain_scores_gemma":[0.99893475,0.000036011235,0.00025335117,0.00023986746,0.00032496912,0.00021107076],"candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0021445223,0.00011832651,0.00030812965,0.00007426757,0.0031600534,0.00010444582,0.0006835507,0.0000828459,0.00007684383],"category_scores_gemma":[0.0005291256,0.00009761531,0.000042952575,0.00034575808,0.009670693,0.00072250335,0.00007264452,0.00009135324,7.5941904e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004968875,0.00019855828,0.50596684,0.00006611485,0.000004644516,4.1421495e-7,0.4542186,5.6364122e-8,0.0001258121,0.034698498,0.00017021567,0.0045005474],"study_design_scores_gemma":[0.00070164545,0.00006378316,0.92377657,0.000060021557,0.000016452721,6.6724915e-8,0.066811405,0.00004774892,0.000060545128,0.008152067,0.00017358433,0.00013612042],"about_ca_topic_score_codex":0.019307861,"about_ca_topic_score_gemma":0.0024943347,"teacher_disagreement_score":0.4178097,"about_ca_system_score_codex":0.00010222128,"about_ca_system_score_gemma":0.0002726537,"threshold_uncertainty_score":0.9981377},"labels":[],"label_agreement":null},{"id":"W2761881256","doi":"10.47339/ephj.2017.86","title":"Potential risks and user preferences of helmet-sharing program provided by Vancouver’s Mobi bike-share program","year":2017,"lang":"en","type":"article","venue":"BCIT Environmental Public Health Journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Human factors and ergonomics; Occupational safety and health; Poison control; Injury prevention; Suicide prevention; Psychology; Internet privacy; Applied psychology; Medicine; Medical emergency; Computer science","score_opus":0.07589654386846405,"score_gpt":0.36244000741896093,"score_spread":0.28654346355049687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2761881256","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947322,0.0007339958,0.00009720497,0.0014845325,0.000450324,0.0013820778,0.000117003416,0.00007309405,0.00092958665],"genre_scores_gemma":[0.99671894,0.0007842473,0.001434556,0.00008966771,0.00025628967,0.000072782044,0.0000324483,0.000019257583,0.00059182127],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970122,0.00018767107,0.00066603534,0.00044534812,0.00085691886,0.0008318549],"domain_scores_gemma":[0.9977771,0.000019128394,0.0009898179,0.00035043113,0.000031390737,0.0008321063],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0017138623,0.00021691604,0.00036540415,0.000079840946,0.0026252582,0.00089750846,0.0008658189,0.00016199364,0.00061771314],"category_scores_gemma":[0.00008787881,0.0001894542,0.00012405655,0.000074333475,0.0007709319,0.0019670764,0.00016384611,0.00049499184,0.00000453181],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026540098,0.00091309124,0.6511912,0.00007830163,0.000042031035,0.0000060135108,0.0011380733,7.290229e-7,0.000053772976,0.000021497679,0.0025887587,0.34394002],"study_design_scores_gemma":[0.0012371287,0.0005827768,0.86268675,0.000088708424,0.000026284517,0.0000048795005,0.0033724022,0.000096597265,0.00006122915,0.00041173142,0.13111188,0.0003196586],"about_ca_topic_score_codex":0.0033378636,"about_ca_topic_score_gemma":0.0027552096,"teacher_disagreement_score":0.34362036,"about_ca_system_score_codex":0.00027043637,"about_ca_system_score_gemma":0.00040462165,"threshold_uncertainty_score":0.9986732},"labels":[],"label_agreement":null},{"id":"W2761943477","doi":"10.1155/2017/3739505","title":"Usage Patterns of Electric Bicycles: An Analysis of the WeBike Project","year":2017,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Cisco Systems","keywords":"TRIPS architecture; Transport engineering; Population; Battery (electricity); Anxiety; Psychology; Applied psychology; Engineering; Medicine; Environmental health; Psychiatry","score_opus":0.022831505180530672,"score_gpt":0.34223820287586076,"score_spread":0.3194066976953301,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2761943477","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99865335,0.00005738684,0.0007328657,0.00008791805,0.0001662827,0.00013972002,0.000036084126,0.0000041319595,0.0001222597],"genre_scores_gemma":[0.99945873,0.00012260219,0.00031017954,0.000008696014,0.00005687498,0.0000012293981,0.0000064623177,0.000005042174,0.000030195359],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99856734,0.000074615906,0.00060852175,0.00010876546,0.00051032106,0.0001304285],"domain_scores_gemma":[0.9976536,0.000042169813,0.0016532686,0.00027579063,0.00032810276,0.00004703535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006018241,0.000075782074,0.00031643533,0.00020749008,0.0002644407,0.000023172799,0.00054493244,0.000055214903,0.000034962195],"category_scores_gemma":[0.000059358517,0.000053201962,0.000334952,0.00046711,0.000121876474,0.0009677444,0.0000013571266,0.00012700309,5.817931e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007547105,0.00012289475,0.9799931,0.000024860628,0.0001360878,0.000002403404,0.008284518,0.0012942672,0.0063083456,0.00016326382,7.662172e-7,0.0035940371],"study_design_scores_gemma":[0.0003120195,0.00007500381,0.99224937,0.000042299325,0.0006520717,5.7939904e-8,0.0019317141,0.000020283564,0.0042835777,0.00028883584,0.00008784012,0.000056927987],"about_ca_topic_score_codex":0.0015269759,"about_ca_topic_score_gemma":0.020645158,"teacher_disagreement_score":0.019118182,"about_ca_system_score_codex":0.000031712123,"about_ca_system_score_gemma":0.00020065256,"threshold_uncertainty_score":0.9972255},"labels":[],"label_agreement":null},{"id":"W2762215873","doi":"10.1177/0308022617733389","title":"Development of the International Expert Advisory Panel on Community Health and Transport (I-CHaT) to coordinate research on transport mobility","year":2017,"lang":"en","type":"article","venue":"British Journal of Occupational Therapy","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; McGill University","funders":"","keywords":"Advisory committee; Business; Medical education; Medicine; Psychology; Political science; Public administration","score_opus":0.3390527032953812,"score_gpt":0.4740419763518356,"score_spread":0.13498927305645442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2762215873","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99589,0.00023379632,0.000074860145,0.0019634485,0.0003244184,0.00031780577,0.000049355436,0.00000574548,0.0011405598],"genre_scores_gemma":[0.998193,0.00049384375,0.0004042541,0.00060346886,0.00014046687,0.00000999029,0.00000829262,0.000008284594,0.00013834651],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972931,0.00037846016,0.0006066424,0.00016246163,0.0013387973,0.00022055194],"domain_scores_gemma":[0.9983356,0.00018774142,0.00039923974,0.00026577606,0.00060438644,0.00020723107],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0057558,0.00009777539,0.00024301285,0.000092001574,0.0023572156,0.00007668232,0.0011183021,0.000066589884,0.0000932224],"category_scores_gemma":[0.00016113279,0.00008415517,0.00011931731,0.0001068996,0.000514703,0.00028517653,0.000019800133,0.0005736944,8.510192e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002802165,0.001809155,0.8047189,0.000025937501,0.00010247811,0.000015382151,0.032992586,0.000025018207,0.0002600887,0.0008015948,0.0006145872,0.15583211],"study_design_scores_gemma":[0.00073287764,0.00017645187,0.9819318,0.0003096595,0.0000012627706,0.000003139522,0.0016943538,8.002335e-7,0.00038226074,0.0005720981,0.014117221,0.00007804053],"about_ca_topic_score_codex":0.0050610695,"about_ca_topic_score_gemma":0.011254249,"teacher_disagreement_score":0.17721294,"about_ca_system_score_codex":0.00019628204,"about_ca_system_score_gemma":0.0012125553,"threshold_uncertainty_score":0.9989416},"labels":[],"label_agreement":null},{"id":"W2765084148","doi":"10.3390/ijerph14101272","title":"Parents’ Perceived Barriers to Accessing Sports and Recreation Facilities in Ontario, Canada: Exploring the Relationships between Income, Neighbourhood Deprivation, and Community","year":2017,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Public Health Ontario","funders":"","keywords":"Neighbourhood (mathematics); Recreation; Low income; Socioeconomics; Demographic economics; Geography; Psychology; Sociology; Political science; Economics","score_opus":0.2173003482873651,"score_gpt":0.3808253389173068,"score_spread":0.1635249906299417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2765084148","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9879649,0.00007799312,0.000017331935,0.011360407,0.0000851092,0.00013699001,0.000022179884,0.000001381009,0.00033367696],"genre_scores_gemma":[0.9993178,0.0004171691,0.000051893974,0.000057405552,0.0000707702,0.000004882995,0.00000811464,0.0000030327544,0.00006889261],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978723,0.0006364707,0.00032918318,0.000101728285,0.000830205,0.00023009877],"domain_scores_gemma":[0.99867356,0.0004406316,0.00017607564,0.00011454647,0.00007318785,0.0005220256],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0057508512,0.000058671132,0.00011669602,0.0001390397,0.002787288,0.00043197995,0.0003858742,0.000029710807,0.000095374126],"category_scores_gemma":[0.0014778704,0.000048115115,0.000011610154,0.000043545042,0.00040873798,0.0012186205,0.00012751746,0.000814805,1.0224047e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017337448,0.000022177346,0.9584983,0.0000037026948,0.0000103675975,0.000002526873,0.024591116,7.175411e-7,0.0000024736696,0.000069595735,0.000008411182,0.016773261],"study_design_scores_gemma":[0.00019282303,0.000038398655,0.9543517,0.000051081148,0.0000010040499,0.0000011452095,0.042445805,0.0000016944923,0.0000013570932,0.0012253418,0.0016512785,0.000038335173],"about_ca_topic_score_codex":0.8997933,"about_ca_topic_score_gemma":0.9766595,"teacher_disagreement_score":0.07686617,"about_ca_system_score_codex":0.0010129226,"about_ca_system_score_gemma":0.001496232,"threshold_uncertainty_score":0.99851096},"labels":[],"label_agreement":null},{"id":"W2765117282","doi":"10.3390/bs7040072","title":"Map Sensitivity vs. Map Dependency: A Case Study of Subway Maps’ Impact on Passenger Route Choices in Washington DC","year":2017,"lang":"en","type":"article","venue":"Behavioral Sciences","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"York University","keywords":"Metropolitan area; Crowdsourcing; Transport engineering; Travel behavior; Transit (satellite); Newspaper; Public transport; Computer science; Transportation planning; Operations research; Geography; Advertising; Business; Engineering","score_opus":0.08573610475134646,"score_gpt":0.4158981021876645,"score_spread":0.330161997436318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2765117282","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974258,0.000029935647,0.0000011810193,0.0003421943,0.0005365974,0.0006296784,0.000040491523,0.000046309215,0.00094784587],"genre_scores_gemma":[0.9995379,0.000003160946,0.000050839604,0.000013310378,0.000117873875,0.000016714885,0.0000024139777,0.000008147618,0.000249628],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99681,0.0003947855,0.00041434725,0.0006797931,0.001067687,0.0006333846],"domain_scores_gemma":[0.9986028,0.00013615719,0.00040516714,0.0005515497,0.00009623167,0.00020807912],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0034739359,0.00023937612,0.00041399235,0.00016573312,0.0019077034,0.0005580704,0.00086563756,0.0001386985,0.00015160635],"category_scores_gemma":[0.000067365094,0.00017863275,0.00014383277,0.00028294587,0.0011649511,0.0016739415,0.00010432663,0.00027658048,0.0000158892],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038407128,0.0011872798,0.98591346,0.0000078801895,0.0000040959394,0.0011140081,0.009364896,0.000012255763,0.00020354395,0.00006282868,0.000025619838,0.0020657002],"study_design_scores_gemma":[0.00045969142,0.0005538659,0.98515075,0.000040791212,0.000036324524,0.000004528105,0.012822862,0.000020276368,0.00030114493,0.00028042874,0.00007401,0.00025530535],"about_ca_topic_score_codex":0.4509311,"about_ca_topic_score_gemma":0.65721256,"teacher_disagreement_score":0.20628147,"about_ca_system_score_codex":0.00015727986,"about_ca_system_score_gemma":0.00033836113,"threshold_uncertainty_score":0.9993917},"labels":[],"label_agreement":null},{"id":"W2765472270","doi":"10.5070/bp321112726","title":"Travel Behavior of Mexican and Other Immigrant Groups in California","year":2008,"lang":"en","type":"article","venue":"Berkeley Planning Journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Immigration; Quarter (Canadian coin); Population; Economic growth; Sociology; Geography; Economics; Demography","score_opus":0.04122427846826672,"score_gpt":0.308634556137628,"score_spread":0.2674102776693613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2765472270","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99755895,0.00049727695,0.00009273825,0.00008003662,0.00007920766,0.00007663436,0.000018998071,0.000008403812,0.0015877638],"genre_scores_gemma":[0.99942034,0.000040657585,0.00026502222,0.000043012722,0.00012962331,0.0000023441783,0.0000011620317,0.000006743554,0.0000911186],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998995,0.00007857922,0.00030705633,0.00011535424,0.0002666144,0.00023737006],"domain_scores_gemma":[0.999608,0.00004477231,0.0001280271,0.000057748894,0.000032570162,0.00012890008],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006487368,0.00007785698,0.0001855284,0.000093181756,0.00030180294,0.000020991572,0.00013868403,0.0000711545,0.00012403277],"category_scores_gemma":[0.000030538013,0.00006657119,0.000053850603,0.00014911528,0.00027125436,0.00012667153,0.0000064629326,0.00023990602,0.0000014656752],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028454064,0.000070782175,0.98365104,0.0000041135136,0.000005449467,0.00009695284,0.015048123,0.0000024168216,0.00036896003,0.000052411266,0.000086101114,0.0005851768],"study_design_scores_gemma":[0.00037676244,0.000025948622,0.9959478,0.000051494608,0.000014299696,0.00003240261,0.0024023252,0.0000068415006,0.00013680589,0.00018638324,0.0007325711,0.00008637795],"about_ca_topic_score_codex":0.0041250833,"about_ca_topic_score_gemma":0.0015388029,"teacher_disagreement_score":0.012645798,"about_ca_system_score_codex":0.000029917623,"about_ca_system_score_gemma":0.00010901863,"threshold_uncertainty_score":0.62359196},"labels":[],"label_agreement":null},{"id":"W2765725026","doi":"10.3141/2650-13","title":"Carsharing Versus Bikesharing","year":2017,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Business; Multinomial logistic regression; Service (business); Transport engineering; Public transport; Marketing; Computer science; Engineering","score_opus":0.24580544397573936,"score_gpt":0.479882581914635,"score_spread":0.23407713793889565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2765725026","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9854591,0.00018588129,0.00018220895,0.006617347,0.0019551301,0.00076326786,0.00003840066,0.000037688515,0.004760984],"genre_scores_gemma":[0.9961132,0.0006498029,0.0005618627,0.000022909859,0.00068898406,0.000035854624,0.0000067145165,0.000042428866,0.0018782386],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99097735,0.001041559,0.0012008776,0.0004851126,0.005052547,0.0012425513],"domain_scores_gemma":[0.99272877,0.0009877799,0.0007669752,0.0010265714,0.0039026565,0.0005872233],"candidate_categories":["sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.009003641,0.00022749862,0.00044390085,0.0006383504,0.005962028,0.0008139984,0.0036141586,0.00025968076,0.0007039139],"category_scores_gemma":[0.00089368894,0.00018206566,0.00052700454,0.0009943692,0.002308381,0.0020753958,0.000016728172,0.002609532,0.000034609406],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014879712,0.00016607148,0.9713886,0.00010856919,0.0001221538,0.00011777117,0.008118392,0.00007024729,0.0007748118,0.007403681,0.0023313744,0.007910378],"study_design_scores_gemma":[0.0017174371,0.0001892676,0.94708633,0.00026284845,0.00005100643,3.059129e-8,0.0039453697,0.000011653654,0.0006966165,0.00374166,0.042109296,0.0001884703],"about_ca_topic_score_codex":0.1240788,"about_ca_topic_score_gemma":0.5338127,"teacher_disagreement_score":0.4097339,"about_ca_system_score_codex":0.0004011014,"about_ca_system_score_gemma":0.0012838839,"threshold_uncertainty_score":0.9996915},"labels":[],"label_agreement":null},{"id":"W2765872211","doi":"10.3390/su9101851","title":"The Contribution of Physical Geographers to Sustainability Research","year":2017,"lang":"en","type":"article","venue":"Sustainability","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Okanagan College","funders":"","keywords":"Sustainability; Multidisciplinary approach; Scope (computer science); Engineering ethics; Sociology; Process (computing); Sustainability science; Perspective (graphical); Management science; Sustainability organizations; Social science; Engineering; Ecology; Computer science","score_opus":0.028096620732571083,"score_gpt":0.4338084649821532,"score_spread":0.4057118442495821,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2765872211","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9735652,0.00005101587,0.00009600082,0.020536678,0.00013420507,0.0018585192,0.000007019101,0.00004662155,0.0037047241],"genre_scores_gemma":[0.99907094,0.0000042893034,0.000008510157,0.000011566683,0.00018549163,0.00010755761,0.0000018543539,0.000006709196,0.00060306856],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99592084,0.0012897634,0.000334349,0.0004894561,0.0009861105,0.0009794773],"domain_scores_gemma":[0.98800796,0.0012431188,0.00016037161,0.0017159508,0.0085976245,0.00027497005],"candidate_categories":["metaresearch","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.014768085,0.0001256942,0.00026396062,0.00006262772,0.007791609,0.00033305053,0.0014822327,0.000115377305,0.00002297744],"category_scores_gemma":[0.04407462,0.00009238833,0.00022731828,0.0004807178,0.0064260755,0.00044040137,0.00024198745,0.0004546174,0.0000033667864],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018778889,0.00022845289,0.84119767,0.000045585773,0.0000106927,0.0000022778822,0.0062791533,0.0000046928803,0.0000099405015,0.1375285,0.00015388438,0.014351378],"study_design_scores_gemma":[0.00013543665,0.00007484458,0.6393833,0.0000037888165,0.00000714854,1.026352e-8,0.01371649,0.000007563207,0.00015417523,0.33159518,0.014844597,0.00007743605],"about_ca_topic_score_codex":0.029658606,"about_ca_topic_score_gemma":0.019384077,"teacher_disagreement_score":0.20181431,"about_ca_system_score_codex":0.0014749478,"about_ca_system_score_gemma":0.0022474353,"threshold_uncertainty_score":0.9985096},"labels":[],"label_agreement":null},{"id":"W2765915334","doi":"10.1016/j.envres.2017.10.025","title":"Estimating the health benefits of planned public transit investments in Montreal","year":2017,"lang":"en","type":"article","venue":"Environmental Research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institut National de Santé Publique du Québec; McGill University; Polytechnique Montréal; University of Toronto; Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Public transport; Transport engineering; TRIPS architecture; Transit (satellite); Business; Kilometer; Transportation planning; Mode choice; Public health; Environmental health; Geography; Engineering; Medicine","score_opus":0.12641773189862418,"score_gpt":0.3987276082831743,"score_spread":0.27230987638455006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2765915334","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9871984,0.00029331265,0.000005042304,0.0049189986,0.00004786785,0.0003653468,0.00002576144,0.000005140443,0.007140109],"genre_scores_gemma":[0.9993199,0.00007532307,0.000088509136,0.000039153532,0.000057128207,0.000019011926,0.000009408258,0.0000055297514,0.0003860348],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979991,0.00030649992,0.00020794799,0.00020712428,0.0008115743,0.000467767],"domain_scores_gemma":[0.9992857,0.00011643599,0.00008911656,0.00036743612,0.0000060517928,0.00013527302],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002838021,0.00006145103,0.00012294385,0.000055753862,0.001525022,0.0001003533,0.00074794097,0.000048104743,0.00020093136],"category_scores_gemma":[0.0001323523,0.000047338603,0.000034881206,0.00007838875,0.0011422368,0.00033949522,0.0000760073,0.00026147664,0.000020000409],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023094337,0.0001661109,0.93710923,0.000008686905,0.0000045736756,0.0000018378045,0.0058155307,0.000017575363,0.000023681767,0.00021946842,0.00003770014,0.05657252],"study_design_scores_gemma":[0.0002568954,0.00005590041,0.9954448,0.000021571646,8.160612e-7,4.7124182e-8,0.0013560702,0.00013845021,0.00006487595,0.002449915,0.00016985138,0.000040814826],"about_ca_topic_score_codex":0.022978734,"about_ca_topic_score_gemma":0.049532913,"teacher_disagreement_score":0.058335572,"about_ca_system_score_codex":0.00018082191,"about_ca_system_score_gemma":0.000101983605,"threshold_uncertainty_score":0.9997749},"labels":[],"label_agreement":null},{"id":"W2765980811","doi":"10.3141/2651-04","title":"When I’m 64: Assessing Generational Differences in Public Transit Use of Seniors in Montreal, Quebec, Canada","year":2017,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Public transport; Baby boomers; Population; Travel behavior; Baby boom; Generation x; Gerontology; Demography; Geography; Demographic economics; Psychology; Medicine; Transport engineering; Sociology; Engineering; Economics","score_opus":0.19312023124193506,"score_gpt":0.40401680111993926,"score_spread":0.2108965698780042,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2765980811","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9867035,0.0001120599,0.00022446488,0.011495231,0.00039964446,0.00073206343,0.00007103686,0.000007704025,0.00025425464],"genre_scores_gemma":[0.99789464,0.00042570147,0.0004988848,0.000027386553,0.00014145194,0.000032816082,0.000017918775,0.000023179507,0.00093801535],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99032265,0.0019047934,0.001752342,0.00043543437,0.0045997966,0.0009849869],"domain_scores_gemma":[0.99444586,0.0012506376,0.0007729399,0.0005564602,0.0025866916,0.00038742487],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0055219387,0.00022476382,0.0006113955,0.00091829273,0.0013275242,0.00065572304,0.0017925944,0.00022930381,0.00041882787],"category_scores_gemma":[0.0006306915,0.00018174526,0.00025581947,0.0010856637,0.001528793,0.0032415334,0.0000067771152,0.0018109853,0.0000010849456],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031693003,0.00024639978,0.98619056,0.00009061217,0.000042020012,0.00012318461,0.0062913033,0.00022333568,0.0004276394,0.0010212483,0.00091420166,0.004112593],"study_design_scores_gemma":[0.0010613699,0.000052161413,0.98951936,0.00031378868,0.000017085844,3.215134e-8,0.004023293,0.00009667056,0.00019871895,0.0021653047,0.0023841353,0.00016805725],"about_ca_topic_score_codex":0.9892588,"about_ca_topic_score_gemma":0.99990785,"teacher_disagreement_score":0.011467844,"about_ca_system_score_codex":0.0006586357,"about_ca_system_score_gemma":0.005848954,"threshold_uncertainty_score":0.99997264},"labels":[],"label_agreement":null},{"id":"W2766386036","doi":"10.1186/s12966-017-0600-1","title":"An evaluation of transport mode shift policies on transport-related physical activity through simulations based on random forests","year":2017,"lang":"en","type":"article","venue":"International Journal of Behavioral Nutrition and Physical Activity","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Direction Générale des Infrastructures, des Transports et de la Mer; Institut National de Prévention et d'Éducation pour la Santé","keywords":"Public transport; Mode (computer interface); Physical activity; TRIPS architecture; Mode of transport; Travel survey; Transport engineering; Mode choice; Travel behavior; Geography; Environmental science; Computer science; Engineering; Medicine; Physical medicine and rehabilitation","score_opus":0.09065286440770744,"score_gpt":0.45207814364529103,"score_spread":0.3614252792375836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766386036","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968163,0.0000034177851,0.00062664447,0.0013345992,0.00025452155,0.0003458872,0.00026301562,0.000017103957,0.00033852222],"genre_scores_gemma":[0.9994739,0.000005891586,0.000025241812,0.000016471848,0.00042270674,0.000009495019,0.00002933931,0.00001083877,0.000006056811],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975475,0.00025440718,0.00025344067,0.00023194138,0.0015465174,0.00016620701],"domain_scores_gemma":[0.9983032,0.00016542796,0.0005955831,0.00021226943,0.00058704347,0.000136485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045624143,0.00017343294,0.00038462074,0.00010923327,0.00040231255,0.000075381875,0.000390867,0.00010750089,0.00004193291],"category_scores_gemma":[0.000035533616,0.00015310952,0.00032972172,0.00008179432,0.0004681677,0.0016738363,0.0000055824707,0.00034476997,7.709093e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.014136213,0.09027248,0.7100835,0.00008013181,0.0002821555,0.000049468206,0.024594095,0.022533866,0.0285126,0.005543636,0.000025526087,0.103886336],"study_design_scores_gemma":[0.0050106216,0.00045500018,0.95839816,0.00014119384,0.00023828691,3.6785485e-7,0.00008329217,0.016040564,0.0085740425,0.01085277,0.000034635872,0.00017105414],"about_ca_topic_score_codex":0.0020344078,"about_ca_topic_score_gemma":0.0015698887,"teacher_disagreement_score":0.24831468,"about_ca_system_score_codex":0.00013023194,"about_ca_system_score_gemma":0.0001715732,"threshold_uncertainty_score":0.6243625},"labels":[],"label_agreement":null},{"id":"W2766618343","doi":"10.1155/2017/6973089","title":"Evaluating the Interference of Bicycle Traffic on Vehicle Operation on Urban Streets with Bike Lanes","year":2017,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Traffic flow (computer networking); Transport engineering; Computer science; Automotive engineering; Simulation; Engineering; Computer security","score_opus":0.05076400577921666,"score_gpt":0.37680872823366485,"score_spread":0.3260447224544482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766618343","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984251,0.00003585101,0.000102659134,0.0006882023,0.00019744398,0.00017124007,0.000007065421,0.000008430001,0.00036400845],"genre_scores_gemma":[0.9993584,0.00002366774,0.00039089276,0.000029880535,0.00012915938,0.000002827016,0.0000049404825,0.000006898976,0.000053307474],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99880534,0.00006872705,0.00037369487,0.00012180423,0.0005093988,0.000121054254],"domain_scores_gemma":[0.9987134,0.00010518237,0.00071531045,0.00018970769,0.00022709646,0.00004932938],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006123151,0.000088584595,0.0001657302,0.000050832914,0.00051000516,0.000060434453,0.00032216788,0.000040869392,0.000033174758],"category_scores_gemma":[0.00006733537,0.00005474944,0.000068019915,0.000067827925,0.00018305852,0.00065897015,8.709985e-7,0.00017941256,0.0000011719992],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004576329,0.0007103971,0.46191075,0.00009057453,0.000107031425,0.000029396886,0.07213684,0.27930006,0.020454992,0.002130695,0.000029350855,0.15852356],"study_design_scores_gemma":[0.0008468863,0.0012251665,0.9913551,0.00023626564,0.000047055055,1.5183154e-7,0.0026828295,0.0001510168,0.0030960275,0.00021867857,0.000060328766,0.000080458754],"about_ca_topic_score_codex":0.000108395725,"about_ca_topic_score_gemma":0.0035316164,"teacher_disagreement_score":0.5294444,"about_ca_system_score_codex":0.000033219647,"about_ca_system_score_gemma":0.00012414597,"threshold_uncertainty_score":0.3922599},"labels":[],"label_agreement":null},{"id":"W2766736018","doi":"10.1155/2017/3182387","title":"Planning and Design of Equitable Free-Floating Bike-Sharing Systems Implementing a Road Pricing Strategy","year":2017,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Regione Puglia","keywords":"Equity (law); Singapore Area Licensing Scheme; Road pricing; Congestion pricing; Revenue; Order (exchange); Business; Context (archaeology); Transport engineering; Social equality; Environmental economics; Sustainable transport; Sustainable development; Traffic congestion; Relation (database); Computer science; Economics; Finance; Sustainability; Engineering","score_opus":0.06193726066072873,"score_gpt":0.3590596553683926,"score_spread":0.2971223947076639,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766736018","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96960324,0.0009087008,0.028581897,0.00003149879,0.00022328807,0.00020623002,0.0000065340982,0.00001210619,0.00042648925],"genre_scores_gemma":[0.9942147,0.00005688228,0.0055279066,0.0000025961094,0.00014974488,0.0000017047738,0.0000026658856,0.000009949462,0.000033828874],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99834055,0.00004057932,0.00076835544,0.00015231004,0.0003891294,0.00030907997],"domain_scores_gemma":[0.9977646,0.00007512038,0.0016500258,0.00016472588,0.00025933058,0.00008619554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018808864,0.00010158988,0.00029190138,0.0000932076,0.00087827374,0.0001646623,0.00035103722,0.000056148998,0.000009208801],"category_scores_gemma":[0.00012550956,0.00009657381,0.000062522726,0.00008749805,0.00009112755,0.0019235547,0.0000072977496,0.00015931604,7.274146e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014121928,0.000041378386,0.8688716,0.0002550211,0.000061718325,0.000034689583,0.022782275,0.07154335,0.024415407,0.0009036265,0.0000040923296,0.010945567],"study_design_scores_gemma":[0.0014321192,0.00015658085,0.96675026,0.00092861266,0.00012262155,0.0000015306913,0.025438217,0.0007253971,0.0020031163,0.0021676954,0.000081812395,0.00019205995],"about_ca_topic_score_codex":0.0012569476,"about_ca_topic_score_gemma":0.0004817572,"teacher_disagreement_score":0.09787858,"about_ca_system_score_codex":0.000041224088,"about_ca_system_score_gemma":0.00011656337,"threshold_uncertainty_score":0.67550606},"labels":[],"label_agreement":null},{"id":"W2766951477","doi":"10.1111/gec3.12350","title":"Re‐working mobilities: Emergent geographies of employment‐related mobility","year":2017,"lang":"en","type":"article","venue":"Geography Compass","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trinity College; Memorial University of Newfoundland; University of Alberta","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Mobilities; Sociology; Politics; Work (physics); Journey to work; Phenomenology (philosophy); Economic geography; Social mobility; Gender studies; Social science; Political science; Geography; Epistemology; Public transport","score_opus":0.035029864776982486,"score_gpt":0.3096762136100331,"score_spread":0.2746463488330506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766951477","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9636226,0.00090354343,0.000038033853,0.000639099,0.00092485937,0.00049794064,0.00003250866,0.00016955021,0.03317182],"genre_scores_gemma":[0.99926114,0.0002196594,0.00012659724,0.000027026974,0.000099419805,0.00004397264,0.000014082703,0.000013376686,0.00019470655],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99737626,0.00018096634,0.0006735957,0.00051858154,0.0006555466,0.0005950466],"domain_scores_gemma":[0.99768513,0.00011700039,0.0005252892,0.0012567844,0.00021418589,0.00020160855],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013943884,0.00022685682,0.00045370817,0.00024277743,0.0020465283,0.00017495973,0.0012584265,0.00016909772,0.00095246354],"category_scores_gemma":[0.000094456445,0.00022095212,0.0005887069,0.00047313515,0.0024788186,0.00043007842,0.000112420916,0.00023005673,0.00000702623],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002662372,0.00028666135,0.9924936,0.000033943816,0.00011016621,0.0000021304193,0.0031538412,0.000008215272,0.000016426591,0.0019347578,0.0002396723,0.0016939442],"study_design_scores_gemma":[0.00034961262,0.000042886986,0.9715688,0.000058783935,0.00005902273,3.555539e-8,0.0035563158,0.000011917373,0.0001305006,0.011949062,0.012027693,0.00024534296],"about_ca_topic_score_codex":0.017898364,"about_ca_topic_score_gemma":0.012890685,"teacher_disagreement_score":0.035638515,"about_ca_system_score_codex":0.000026608554,"about_ca_system_score_gemma":0.000070298556,"threshold_uncertainty_score":0.9999608},"labels":[],"label_agreement":null},{"id":"W2767356419","doi":"10.3167/trans.2017.070109","title":"Theorizing Mobility Transitions","year":2017,"lang":"en","type":"article","venue":"Transfers","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trinity College","funders":"Engineering and Physical Sciences Research Council","keywords":"Mobilities; Scholarship; Field (mathematics); Sociology; Perspective (graphical); Multidisciplinary approach; Discipline; State (computer science); Order (exchange); Epistemology; Social science; Computer science; Political science","score_opus":0.040057922312432714,"score_gpt":0.34070504365257787,"score_spread":0.30064712134014515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2767356419","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83549356,0.000024460829,0.002744291,0.004317371,0.0002481734,0.00020729456,0.000027648759,0.00011220257,0.15682496],"genre_scores_gemma":[0.99925274,0.000022348977,0.00009749558,0.00006734967,0.000118592936,0.000011745954,0.0000033517558,0.0000062369704,0.0004201576],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99912244,0.000059744147,0.00013231457,0.00020978978,0.00020202938,0.0002737057],"domain_scores_gemma":[0.99938405,0.000030722844,0.000020995085,0.0004018319,0.00003808876,0.0001243242],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00061924197,0.00007711819,0.00011465695,0.000019247633,0.002328709,0.00015492842,0.00046854984,0.00007403103,0.0007156884],"category_scores_gemma":[0.00003336472,0.00007391232,0.0001274255,0.000046593123,0.0008129724,0.0005251264,0.0000029164755,0.0001199092,0.000026063062],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014518114,0.0005585128,0.59709686,0.000083431514,0.000087837354,0.000027088063,0.08737678,0.0000104937635,0.0026354548,0.2546383,0.00022578367,0.057114262],"study_design_scores_gemma":[0.00069053745,0.000042192674,0.94713223,0.000026924135,0.00007308463,1.1987437e-7,0.0038015677,0.000012855835,0.0010916155,0.033544958,0.01325304,0.0003308838],"about_ca_topic_score_codex":0.0029347127,"about_ca_topic_score_gemma":0.010646656,"teacher_disagreement_score":0.35003537,"about_ca_system_score_codex":0.000032390162,"about_ca_system_score_gemma":0.00009786938,"threshold_uncertainty_score":0.99897015},"labels":[],"label_agreement":null},{"id":"W2768051080","doi":"10.5075/epfl-thesis-7957","title":"Living Without a Car : A Canada-France Comparative Outlook","year":2017,"lang":"en","type":"article","venue":"Infoscience (Ecole Polytechnique Fédérale de Lausanne)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Feeling; Social exclusion; Destinations; Residence; Public transport; Affect (linguistics); Qualitative research; Sociology; Social psychology; Geography; Socioeconomics; Political science; Demographic economics; Psychology; Social science; Economics; Demography; Law; Tourism","score_opus":0.02738138242615471,"score_gpt":0.32526117646844505,"score_spread":0.2978797940422903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2768051080","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9188925,0.00013849483,0.0026516225,0.0016551316,0.0005535568,0.0008311204,0.00005111544,0.0002993029,0.07492718],"genre_scores_gemma":[0.9882073,0.000026544716,0.002188323,0.0007258889,0.0002245482,0.00013639366,0.0000017684079,0.000014046441,0.008475224],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99709266,0.00015079089,0.00040108812,0.0005817273,0.00074320566,0.0010305027],"domain_scores_gemma":[0.99780136,0.00015668046,0.0004285359,0.00096482935,0.00020824684,0.00044035088],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.001487098,0.00025808465,0.0004028698,0.00008772252,0.003264893,0.0005562051,0.0022633248,0.00018385523,0.0002157971],"category_scores_gemma":[0.0004488635,0.00026775547,0.00010494143,0.00028937528,0.0016547693,0.0013947155,0.00017206954,0.0003856648,0.000016054813],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009787329,0.000063058564,0.98709583,0.000017721248,0.000008302027,0.00002384195,0.0064614895,0.000009916759,0.0012367951,0.0019911493,0.0018352844,0.0012467924],"study_design_scores_gemma":[0.00022188158,0.00006255963,0.9274752,0.00029717814,0.000022939457,0.0000024212297,0.0018938808,0.00052554824,0.0067050946,0.0010176585,0.06106591,0.0007097221],"about_ca_topic_score_codex":0.7516567,"about_ca_topic_score_gemma":0.9258489,"teacher_disagreement_score":0.17419219,"about_ca_system_score_codex":0.00043548175,"about_ca_system_score_gemma":0.0031603458,"threshold_uncertainty_score":0.99997747},"labels":[],"label_agreement":null},{"id":"W2768211887","doi":"10.1177/2399808317740355","title":"The impact of urban proximity, transport accessibility and policy on urban growth: A longitudinal analysis over five decades","year":2017,"lang":"en","type":"article","venue":"Environment and Planning B Urban Analytics and City Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":74,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Urbanization; Metropolitan area; Economic geography; Geography; Population; Transport network; Urban planning; Regional science; Transport engineering; Environmental planning; Economic growth; Civil engineering; Economics; Demography; Engineering","score_opus":0.03537621044821955,"score_gpt":0.338888594297392,"score_spread":0.30351238384917245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2768211887","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99709374,0.00045683503,0.00011477945,0.0002902935,0.000029503399,0.0001965483,0.00004640203,0.000011412204,0.001760481],"genre_scores_gemma":[0.9990253,0.00035669378,0.000039802988,0.000017834382,0.000111095236,0.0000031605553,0.000004284466,0.000005001508,0.00043684713],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978335,0.000056835655,0.00032116784,0.0006560509,0.0006584101,0.0004740524],"domain_scores_gemma":[0.9985975,0.00017747587,0.00033772443,0.0005013299,0.00004506361,0.00034088647],"candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0018706968,0.00022171324,0.00035745898,0.00020229418,0.0034165212,0.0005570531,0.0006643862,0.00009401792,0.000027399034],"category_scores_gemma":[0.00018918821,0.00015108175,0.00015608831,0.00045909782,0.0052389163,0.0007900225,0.00011574524,0.0002128943,3.350464e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050749582,0.00006428206,0.99318296,0.000008819113,0.00009971202,0.0000034355976,0.004676818,0.000022971368,0.000033361397,0.0015254783,0.000051409264,0.00028000007],"study_design_scores_gemma":[0.00021133598,0.000099038494,0.9963893,0.000020419962,0.00017174704,1.9651506e-7,0.00032135687,0.0009575509,0.00005037966,0.0014870514,0.0001068546,0.00018474259],"about_ca_topic_score_codex":0.007910529,"about_ca_topic_score_gemma":0.0006067088,"teacher_disagreement_score":0.00730382,"about_ca_system_score_codex":0.000104788836,"about_ca_system_score_gemma":0.00020128279,"threshold_uncertainty_score":0.9986959},"labels":[],"label_agreement":null},{"id":"W2768800214","doi":"10.1155/2017/2142659","title":"Evaluation of Factors Affecting E-Bike Involved Crash and E-Bike License Plate Use in China Using a Bivariate Probit Model","year":2017,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Fundamental Research Funds for the Central Universities; Graduate Research and Innovation Projects of Jiangsu Province; Government of Jiangsu Province; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"License; Crash; Transport engineering; Ordered probit; Bivariate analysis; Poison control; Probit model; Engineering; Applied psychology; Psychology; Statistics; Computer science; Environmental health; Mathematics; Medicine","score_opus":0.08820155114706829,"score_gpt":0.36564677857948824,"score_spread":0.27744522743241995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2768800214","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99733865,0.00007826423,0.0019337118,0.000037059897,0.00019417348,0.00036398624,0.000012390021,0.000008193173,0.000033590604],"genre_scores_gemma":[0.9957412,0.000069692374,0.0041168286,0.0000036357203,0.000043230437,0.0000014332105,0.0000058287255,0.000011495101,0.0000066595794],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981246,0.00012524695,0.0006508029,0.0001756012,0.0007347398,0.00018899035],"domain_scores_gemma":[0.9978683,0.000068991365,0.0013113943,0.00014313492,0.0005203512,0.00008784484],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024052449,0.00012726354,0.00030693383,0.00016586401,0.0003576078,0.00008289169,0.00016184364,0.000100474696,0.000009138596],"category_scores_gemma":[0.00033096905,0.00011659717,0.000095180614,0.00013712085,0.00012954751,0.0029928589,0.000002663038,0.00021279215,5.114363e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016525242,0.00010124214,0.8335637,0.000051080122,0.000030837688,0.0000055211594,0.03782098,0.11306948,0.013169399,0.000057970967,2.393479e-7,0.0019643276],"study_design_scores_gemma":[0.001589046,0.000041967753,0.984498,0.0002527401,0.00020494491,1.7810285e-7,0.0020718963,0.0066539627,0.0014471896,0.003120709,0.0000012976807,0.00011803796],"about_ca_topic_score_codex":0.0014567985,"about_ca_topic_score_gemma":0.026340624,"teacher_disagreement_score":0.15093437,"about_ca_system_score_codex":0.00012531615,"about_ca_system_score_gemma":0.0003218452,"threshold_uncertainty_score":0.9914261},"labels":[],"label_agreement":null},{"id":"W2769975940","doi":"","title":"Online vs offline inequality:Examining disableist infrastructure via open data","year":2017,"lang":"en","type":"article","venue":"Lancaster EPrints (Lancaster University)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transpose; Open data; Online and offline; Computer science; Inequality; Abstraction; Internet privacy; Data science; World Wide Web; Mathematics","score_opus":0.14104865807483788,"score_gpt":0.3566865876321027,"score_spread":0.21563792955726482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2769975940","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8923529,0.000011201656,0.0020634017,0.0012236361,0.00054831494,0.0004496804,0.00045088556,0.00007445926,0.10282554],"genre_scores_gemma":[0.9732937,0.00001794386,0.0017184926,0.00029118103,0.0005570996,6.256664e-7,0.00035951394,0.000024453006,0.023736944],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974614,0.00021729578,0.00033939714,0.0009787062,0.00040304547,0.0006002051],"domain_scores_gemma":[0.9961585,0.00007334536,0.00042154675,0.002904443,0.00013361327,0.00030857965],"candidate_categories":["metaepi_narrow","sts","open_science","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007335544,0.00028377998,0.0004932703,0.00012247426,0.0014636752,0.0008044663,0.007132711,0.00021075908,0.002195134],"category_scores_gemma":[0.000118442156,0.0002863003,0.000064812244,0.00025449766,0.00062634004,0.0033147575,0.0037986017,0.0004055702,0.00017859903],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017766425,0.00016071256,0.9850928,0.000036270983,0.00005742242,0.00013553593,0.0012906254,1.7682368e-7,0.00003192415,0.0005710295,0.00046979683,0.011976035],"study_design_scores_gemma":[0.0009981792,0.000025152458,0.7995353,0.00006448137,0.000050806426,0.0000012984398,0.0011980659,0.000120245866,0.0000121568,0.0003020665,0.19738938,0.0003028663],"about_ca_topic_score_codex":0.0046182307,"about_ca_topic_score_gemma":0.029290047,"teacher_disagreement_score":0.19691959,"about_ca_system_score_codex":0.00013055348,"about_ca_system_score_gemma":0.00019536894,"threshold_uncertainty_score":0.99995893},"labels":[],"label_agreement":null},{"id":"W2770035988","doi":"10.1007/s11116-017-9840-9","title":"A time-use activity-pattern recognition model for activity-based travel demand modeling","year":2017,"lang":"en","type":"article","venue":"Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":88,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saint Mary's University; Dalhousie University","funders":"Atlantic Canada Opportunities Agency; Dalhousie University","keywords":"Classifier (UML); Homogeneous; Computer science; Behavioral pattern; Travel behavior; Artificial intelligence; Population; Machine learning; Data mining; Pattern recognition (psychology); Geography; Mathematics; Engineering","score_opus":0.1033723738322619,"score_gpt":0.3376574864184358,"score_spread":0.2342851125861739,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2770035988","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5710771,0.000002301064,0.42780215,0.00029831255,0.000055048116,0.0004062375,0.00017976882,0.00005398231,0.00012507154],"genre_scores_gemma":[0.9977308,0.0000069730595,0.001461042,0.000059140006,0.000104060535,0.00009376753,0.00021653311,0.000023586615,0.00030411058],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987806,0.000041942847,0.00020375558,0.00037239547,0.00029490195,0.0003063872],"domain_scores_gemma":[0.9991573,0.000075129574,0.00020664511,0.00027975818,0.0001706089,0.000110540444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051065,0.00015483644,0.0002107586,0.000061791216,0.0012913106,0.00020071706,0.00023078467,0.00016701786,0.00005185582],"category_scores_gemma":[0.000046589386,0.00016866512,0.00016598494,0.000051219005,0.00015019075,0.0017637351,0.0000011453884,0.00012457171,0.000009317344],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0042140298,0.002608154,0.34405324,0.0010399064,0.00024856982,0.00002429462,0.057104416,0.14774492,0.03848379,0.0002578985,0.00018629245,0.40403447],"study_design_scores_gemma":[0.0009250672,0.000025395468,0.09825516,0.000047406676,0.00010962125,1.2903438e-8,0.00006785843,0.8969378,0.0018084969,0.0015654832,0.000013537439,0.00024416795],"about_ca_topic_score_codex":0.004108927,"about_ca_topic_score_gemma":0.028793119,"teacher_disagreement_score":0.7491929,"about_ca_system_score_codex":0.00005372356,"about_ca_system_score_gemma":0.00018941873,"threshold_uncertainty_score":0.99318486},"labels":[],"label_agreement":null},{"id":"W2770647361","doi":"10.1016/j.ypmed.2017.11.018","title":"The decline in active school transportation (AST): A systematic review of the factors related to AST and changes in school transport over time in North America","year":2017,"lang":"en","type":"review","venue":"Preventive Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":240,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; York University; Hospital for Sick Children; SickKids Foundation; Institute for Clinical Evaluative Sciences","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Environmental health; Gerontology","score_opus":0.03579120637261704,"score_gpt":0.3714903916929,"score_spread":0.335699185320283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2770647361","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021048365,0.96992093,0.00000204808,0.0009822102,0.00013167255,0.0075515853,0.00011152347,0.0000116115425,0.00024006395],"genre_scores_gemma":[0.021229468,0.9774218,0.0000034114305,0.00008655172,0.00003375096,0.00041489647,0.00012428632,0.000021949494,0.0006638729],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.99578387,0.0010700424,0.0016430548,0.00048460483,0.00066995405,0.00034846232],"domain_scores_gemma":[0.9973801,0.000521022,0.0013118106,0.0005202487,0.000104476254,0.00016234363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026398553,0.00037548365,0.002653664,0.00024034109,0.00017152548,0.000013521954,0.0008353149,0.00017657217,0.0002302098],"category_scores_gemma":[0.0017768827,0.00019343803,0.0002451922,0.0014191759,0.00054378505,0.00019714919,0.000021619944,0.00067963713,0.0000053408526],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006185956,0.00023249684,0.34494314,0.5791722,0.00026165106,0.00002791239,0.01826967,4.4067698e-7,7.432974e-7,0.000017312388,0.00006101527,0.056951564],"study_design_scores_gemma":[0.00034916514,0.00004783009,0.47302717,0.50716615,0.0007694748,1.5352016e-7,0.0006401288,4.2349552e-7,2.0734473e-7,0.000050471834,0.017758558,0.00019029234],"about_ca_topic_score_codex":0.0053456766,"about_ca_topic_score_gemma":0.22902693,"teacher_disagreement_score":0.22368126,"about_ca_system_score_codex":0.0002668019,"about_ca_system_score_gemma":0.00045623383,"threshold_uncertainty_score":0.80811},"labels":[],"label_agreement":null},{"id":"W2770677644","doi":"10.1016/j.jshs.2017.11.002","title":"The built environment correlates of objectively measured physical activity in Norwegian adults: A cross-sectional study","year":2017,"lang":"en","type":"article","venue":"Journal of sport and health science/Journal of Sport and Health Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Universitetet i Agder; Norges Idrettshøgskole; Helsedirektoratet; Høgskolen i Hedmark; Universitetet i Stavanger","keywords":"Walkability; Norwegian; Built environment; Geography; Cross-sectional study; Physical activity; Rural area; Level design; Public transport; Environmental health; Perception; Demography; Medicine; Transport engineering; Psychology; Ecology; Physical therapy; Engineering; Computer science","score_opus":0.06661338154109943,"score_gpt":0.400641174934033,"score_spread":0.3340277933929336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2770677644","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953786,0.0007175236,0.0000023814196,0.0023707806,0.0009150019,0.00047908747,0.0000012610508,0.000003251107,0.00013208552],"genre_scores_gemma":[0.9976747,0.0016971426,0.00015880296,0.000057533438,0.00037202393,0.0000018625672,1.0769223e-7,0.000006155237,0.000031652628],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9939255,0.0000034992527,0.0016443671,0.00044122752,0.0031258496,0.0008595568],"domain_scores_gemma":[0.9927444,0.000009859483,0.0050058565,0.0003191772,0.0008879254,0.0010328062],"candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.028241195,0.00020998679,0.0008614179,0.00048444592,0.0056937155,0.00049459975,0.0016459712,0.00007083655,0.0000087411245],"category_scores_gemma":[0.000018186773,0.00013915509,0.00014702891,0.00069517177,0.0072947205,0.0030023202,0.00013391078,0.00084277295,3.7596783e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033902377,0.0006256062,0.98795986,0.000042486085,0.000008027714,0.000021130218,0.0074696136,0.000011106021,0.000008921058,0.00030206685,0.000005219489,0.003206937],"study_design_scores_gemma":[0.0010934825,0.0012072297,0.9921262,0.00018647069,0.000010300925,0.000037112844,0.004409443,0.000044711254,0.000027447291,0.00056945457,0.00016508943,0.00012301948],"about_ca_topic_score_codex":0.005783323,"about_ca_topic_score_gemma":0.0036048244,"teacher_disagreement_score":0.028223008,"about_ca_system_score_codex":0.0005799502,"about_ca_system_score_gemma":0.008575944,"threshold_uncertainty_score":0.9970445},"labels":[],"label_agreement":null},{"id":"W2770997917","doi":"10.1016/j.aap.2017.11.008","title":"Monitoring city wide patterns of cycling safety","year":2017,"lang":"en","type":"article","venue":"Accident Analysis & Prevention","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cycling; Transport engineering; Kernel density estimation; SAFER; Data collection; Poison control; Computer science; Engineering; Geography; Computer security; Statistics; Mathematics; Environmental health","score_opus":0.04263028541635357,"score_gpt":0.3765596368648297,"score_spread":0.33392935144847613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2770997917","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9878924,0.00008253661,0.00982562,0.00015985772,0.0002071596,0.00012156225,4.874485e-7,0.000028895005,0.001681475],"genre_scores_gemma":[0.99818116,0.0001893196,0.00018051485,0.000003227817,0.0001877156,0.0000034364623,0.000013260076,0.0000044550684,0.0012368781],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99857265,0.00011541846,0.00042955345,0.00025589153,0.00042820838,0.00019827421],"domain_scores_gemma":[0.9986587,0.000058534388,0.000581739,0.00051366526,0.00011812145,0.00006924487],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013305558,0.00008793382,0.00027323895,0.00012218018,0.0009303549,0.00015805266,0.00054716575,0.000076449134,0.00056578574],"category_scores_gemma":[0.00020039886,0.00008974556,0.00047010268,0.00021533696,0.00007223428,0.00087006995,0.000056967227,0.000090172645,0.00000466348],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009856658,0.00004924109,0.98868346,0.0000019899967,0.00026694394,9.936236e-7,0.0007597918,0.000020250765,0.000050594754,0.000056277066,0.0000020494342,0.010098536],"study_design_scores_gemma":[0.00012627609,0.000005570923,0.99585384,0.000047245303,0.0008292055,6.946172e-9,0.00049989455,0.000019626226,0.0013414278,0.0011020998,0.00008496333,0.000089866844],"about_ca_topic_score_codex":0.013896274,"about_ca_topic_score_gemma":0.08169516,"teacher_disagreement_score":0.06779888,"about_ca_system_score_codex":0.00006867808,"about_ca_system_score_gemma":0.00003810863,"threshold_uncertainty_score":0.9926703},"labels":[],"label_agreement":null},{"id":"W2771036680","doi":"10.1016/j.healthplace.2017.09.005","title":"Connecting qualitative research on exercise and environment to public health agendas requires an equity lens","year":2017,"lang":"en","type":"article","venue":"Health & Place","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Equity (law); Health equity; Public health; Public relations; Qualitative research; Sociology; Population health; Psychological intervention; Inequality; Social determinants of health; Social justice; Population; Political science; Social science; Medicine; Nursing; Law","score_opus":0.5504892155227109,"score_gpt":0.5925266946987541,"score_spread":0.04203747917604317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2771036680","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87974614,0.00058543077,0.00012233302,0.11386519,0.00016305225,0.0009912136,0.000045308843,0.000061537234,0.0044197645],"genre_scores_gemma":[0.99643636,0.0008281458,0.00065861206,0.0012540614,0.00017808321,0.00003444745,0.000011039657,0.000014073698,0.00058518344],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9952259,0.0018043667,0.00036886882,0.00062691205,0.00086212636,0.0011118334],"domain_scores_gemma":[0.9975011,0.00051525363,0.00026143252,0.00061777694,0.000070381255,0.0010340658],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.022394065,0.00012909656,0.00031139256,0.000105608095,0.0069684186,0.00040476405,0.00052253844,0.00008164341,0.00013651233],"category_scores_gemma":[0.0007749395,0.00012538265,0.000030531017,0.000117674106,0.00045173275,0.00075001357,0.00016405946,0.00037727863,0.000049051432],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019528027,0.0004033914,0.0125624575,0.0002605474,0.000009328315,0.000008030291,0.7453195,0.0000058337077,0.00001561698,0.015342073,0.0037502463,0.22212768],"study_design_scores_gemma":[0.0013623221,0.0027494032,0.3115092,0.00071131845,0.0000068871623,6.235377e-7,0.3689473,0.000063067324,0.00007161793,0.008787841,0.3050327,0.0007577414],"about_ca_topic_score_codex":0.046883933,"about_ca_topic_score_gemma":0.053976372,"teacher_disagreement_score":0.37637222,"about_ca_system_score_codex":0.000737346,"about_ca_system_score_gemma":0.0010612017,"threshold_uncertainty_score":0.9943244},"labels":[],"label_agreement":null},{"id":"W2771189882","doi":"10.1186/s12889-017-4943-y","title":"Lexical neutrality in environmental health research: Reflections on the term walkability","year":2017,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University Health Centre; McGill University","funders":"Economic and Social Research Council; Medical Research Council; Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Canada Research Chairs","keywords":"Neighbourhood (mathematics); Walkability; Neutrality; Built environment; Public health; Biostatistics; Physical activity; Poison control; Psychology; Environmental health; Medicine; Ecology; Political science","score_opus":0.5227269592921101,"score_gpt":0.5212014424760149,"score_spread":0.0015255168160952515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2771189882","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7753321,0.000047207057,0.000028558425,0.21088934,0.00020463447,0.00073052436,0.000031240368,0.000042913114,0.012693483],"genre_scores_gemma":[0.99751884,0.00008659223,0.00005865853,0.0015270612,0.00026125295,0.00005788399,0.000011278841,0.0000078226885,0.0004705964],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9939305,0.0031643969,0.00047360928,0.00050573907,0.00080058776,0.0011251776],"domain_scores_gemma":[0.99761873,0.00048668883,0.00019062628,0.0010741943,0.000027761182,0.0006019826],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.02375303,0.00010889822,0.00022921302,0.00008892507,0.0062286267,0.00038918274,0.0009524054,0.000103889375,0.0003700125],"category_scores_gemma":[0.0010720787,0.000080113976,0.00008718214,0.00023885148,0.0016251394,0.0004812905,0.000082371786,0.0008235382,0.000044520846],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015633088,0.0004883812,0.95447475,0.000025421386,0.0000020482853,6.199919e-7,0.009507169,1.7277277e-7,0.0000021100957,0.02693855,0.0011144455,0.00743068],"study_design_scores_gemma":[0.00015504863,0.00008283949,0.9492752,0.000012735692,2.959876e-7,8.81674e-8,0.002683734,0.000004190091,0.0000015222266,0.004434203,0.04328458,0.00006554438],"about_ca_topic_score_codex":0.05133646,"about_ca_topic_score_gemma":0.24665597,"teacher_disagreement_score":0.22218674,"about_ca_system_score_codex":0.0016140252,"about_ca_system_score_gemma":0.0031638723,"threshold_uncertainty_score":0.99506515},"labels":[],"label_agreement":null},{"id":"W2771407654","doi":"10.3141/2662-01","title":"Comparing Crowdsourced Near-Miss and Collision Cycling Data and Official Bike Safety Reporting","year":2017,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Collision; Odds; Near miss; Computer science; Logistic regression; Data collection; Data science; Computer security; Engineering; Forensic engineering; Statistics","score_opus":0.27619262874622624,"score_gpt":0.47968101413810244,"score_spread":0.2034883853918762,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2771407654","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99228215,0.00031515796,0.0006672652,0.004685225,0.00045542826,0.0008382673,0.00006630255,0.000028529268,0.0006616467],"genre_scores_gemma":[0.99636704,0.0012224072,0.001533038,0.00001969759,0.00036030373,0.000009153753,0.000025549509,0.00003511393,0.00042769115],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9916103,0.0010988984,0.0023017586,0.0006731038,0.003399057,0.00091686944],"domain_scores_gemma":[0.99305314,0.0010604294,0.0020441252,0.0010980737,0.0021626304,0.0005815783],"candidate_categories":["sts","scholarly_communication"],"consensus_categories":["sts"],"category_scores_codex":[0.019598346,0.00022823467,0.00062312215,0.0003569827,0.007503815,0.0011946768,0.0022459424,0.00023899236,0.00009551361],"category_scores_gemma":[0.0024172796,0.00018349088,0.00018014667,0.0006676118,0.002990107,0.0019399138,0.00004976839,0.00202363,0.0000025931688],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009695984,0.00009370526,0.98182213,0.00014259781,0.00006515752,0.00009506018,0.0074594636,0.00012695295,0.00044213553,0.00058815617,0.00039406156,0.007800982],"study_design_scores_gemma":[0.0011590414,0.00011240488,0.9780067,0.00042434217,0.00006146181,3.031914e-7,0.004467406,0.0007175936,0.00016122157,0.0013555804,0.013346051,0.00018788717],"about_ca_topic_score_codex":0.061143786,"about_ca_topic_score_gemma":0.3069785,"teacher_disagreement_score":0.24583471,"about_ca_system_score_codex":0.00014553174,"about_ca_system_score_gemma":0.0010509327,"threshold_uncertainty_score":0.99984217},"labels":[],"label_agreement":null},{"id":"W2771502791","doi":"10.3141/2662-12","title":"Keep ’Em Separated: Desire Lines Analysis of Bidirectional Cycle Tracks in Montreal, Canada","year":2017,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Intersection (aeronautics); Perception; Confusion; Transport engineering; Quarter (Canadian coin); Urban design; Psychological intervention; Advertising; Psychology; Business; Engineering; Urban planning; Geography; Civil engineering","score_opus":0.09488606424344065,"score_gpt":0.4244528418684914,"score_spread":0.32956677762505077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2771502791","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946464,0.00019666422,0.00007988914,0.0030096842,0.00044711414,0.00058660586,0.00017538047,0.000011113516,0.00084716384],"genre_scores_gemma":[0.9979416,0.0006328346,0.00016979862,0.000017245675,0.00019131375,0.000029136945,0.000026478147,0.000021884482,0.00096966984],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9914691,0.0012344476,0.0015980952,0.00042209827,0.0044255126,0.0008507887],"domain_scores_gemma":[0.9933359,0.00095229095,0.0008989993,0.0006423724,0.0037706364,0.00039981797],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0060356464,0.00020923596,0.0007017399,0.0012998928,0.0016867671,0.0002123994,0.0018752896,0.00022056296,0.00061057013],"category_scores_gemma":[0.00045859005,0.00017019775,0.00051577186,0.0032117753,0.001187896,0.0010081663,0.0000061199803,0.0015073367,0.0000024692752],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00074235286,0.00021648801,0.98188484,0.00007187347,0.00038260425,0.000097150085,0.0045160465,0.0031338132,0.00018371873,0.00042046484,0.0005843478,0.0077662864],"study_design_scores_gemma":[0.0008091877,0.00009284692,0.9895298,0.00014181786,0.00019434333,2.5520405e-8,0.004121762,0.00030805447,0.0003472764,0.0025759488,0.0017240488,0.0001549078],"about_ca_topic_score_codex":0.9680971,"about_ca_topic_score_gemma":0.99947363,"teacher_disagreement_score":0.031376548,"about_ca_system_score_codex":0.00045394935,"about_ca_system_score_gemma":0.002997829,"threshold_uncertainty_score":0.9996129},"labels":[],"label_agreement":null},{"id":"W2771642330","doi":"10.17411/jacces.v7i2.130","title":"Developing a taxonomy of the built environment for disability studies. Methodological insights","year":2017,"lang":"en","type":"article","venue":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Centre intégré universitaire de santé et de services sociaux de la Capitale-Nationale; Université Laval; Centre for Interdisciplinary Research in Rehabilitation","funders":"","keywords":"Taxonomy (biology); Psychology; Data science; Computer science; Biology; Ecology","score_opus":0.1629324227914731,"score_gpt":0.3501480669061698,"score_spread":0.18721564411469668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2771642330","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.897979,0.0009747934,0.019642234,0.04816865,0.0019774141,0.0029139612,0.00006582271,0.00018110081,0.028097026],"genre_scores_gemma":[0.9846034,0.0001271277,0.014167975,0.00008390059,0.0004017271,0.0004665058,0.0000102806935,0.000013862762,0.00012522616],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9970625,0.0006292235,0.00062508794,0.00059348013,0.0006078658,0.00048181025],"domain_scores_gemma":[0.99728376,0.0007007278,0.0006493128,0.0008963187,0.0002732302,0.00019663035],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00187189,0.0002537201,0.00048465104,0.000049590013,0.0030977814,0.00014587877,0.0013464245,0.0003147204,0.000018670276],"category_scores_gemma":[0.002792682,0.0001809998,0.00032510277,0.00015442488,0.00037126223,0.00045750279,0.00031281073,0.00029344452,0.0000012615523],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015481228,0.00033765438,0.04371255,0.000115246294,0.00014588464,0.000005160239,0.0036124578,0.000011840367,0.00033098488,0.94745857,0.000100954094,0.004013862],"study_design_scores_gemma":[0.000488743,0.000022577415,0.18197884,0.000065021166,0.000063007,0.0000035456587,0.0010970916,0.000013199002,0.0010815962,0.005778158,0.80917937,0.0002288813],"about_ca_topic_score_codex":0.0000179028,"about_ca_topic_score_gemma":0.0023809092,"teacher_disagreement_score":0.94168043,"about_ca_system_score_codex":0.00086068624,"about_ca_system_score_gemma":0.0005655179,"threshold_uncertainty_score":0.99820006},"labels":[],"label_agreement":null},{"id":"W2771984697","doi":"10.5430/ijhe.v8n1p92","title":"Determining the Development Status of United States Counties Based on Comparative and Spatial Analyses of Multivariate Criteria Using Geographic Information Systems","year":2019,"lang":"en","type":"article","venue":"International Journal of Higher Education","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Multivariate statistics; Geography; Poverty; Human development (humanity); Human Development Index; Distribution (mathematics); Regional science; Economic growth; Socioeconomics; Demography; Statistics; Economics; Sociology; Mathematics","score_opus":0.06421997293328943,"score_gpt":0.4118516077155205,"score_spread":0.347631634782231,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2771984697","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99796057,0.000061298524,0.00042872428,0.00009806232,0.0010296842,0.00011270721,0.0000129405735,0.0000022834165,0.00029374947],"genre_scores_gemma":[0.9994478,0.000008901875,0.0003789672,0.000041025014,0.00006162592,0.0000014244802,0.000040971117,0.0000019837807,0.000017266126],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988101,0.00011379606,0.00048606968,0.00004594435,0.00046953183,0.000074568496],"domain_scores_gemma":[0.9977191,0.00019194481,0.0007981824,0.000045078137,0.001213808,0.00003186719],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039389712,0.000060090897,0.0001348285,0.00031320745,0.000060595707,0.000075494674,0.00014368798,0.000027225555,0.00006425949],"category_scores_gemma":[0.000033812703,0.00004254608,0.000033381268,0.00013990208,0.00009352886,0.00047370137,0.000007192906,0.00006097742,3.8126686e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017349598,0.00016354033,0.97942287,0.00003764369,0.00011800294,8.840881e-8,0.015328921,0.0029868174,0.00055546826,0.0006305591,0.000025820449,0.0005567953],"study_design_scores_gemma":[0.0003386885,0.00005260014,0.9880372,0.00021927046,0.000028821785,1.1261771e-7,0.0038836244,0.0036980954,0.00080093433,0.00008031804,0.00280365,0.000056639266],"about_ca_topic_score_codex":0.0051791887,"about_ca_topic_score_gemma":0.00008853216,"teacher_disagreement_score":0.011445297,"about_ca_system_score_codex":0.00009149936,"about_ca_system_score_gemma":0.0004246757,"threshold_uncertainty_score":0.7829419},"labels":[],"label_agreement":null},{"id":"W2772021658","doi":"","title":"The Transit-Jobs Nexus: Insights for Transit-Oriented Development","year":2017,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"York University; Arizona State University; U.S. Department of Transportation; Fordham University; National Science Foundation","keywords":"Transit (satellite); Sustainability; Transport engineering; Transit-oriented development; Business; Public transport; Rail transit; Transit system; Engineering; Ecology","score_opus":0.039190623974536744,"score_gpt":0.3290035853555593,"score_spread":0.2898129613810225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2772021658","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82038575,0.00032633066,0.03519443,0.008753198,0.0013645742,0.0013197497,0.000007240516,0.00019586357,0.13245286],"genre_scores_gemma":[0.99124134,0.000021874133,0.0008874104,0.00012185301,0.00016878266,0.0000545435,0.0000056388444,0.000008290599,0.007490246],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988087,0.000035926587,0.000245547,0.00025369562,0.0002958651,0.0003602817],"domain_scores_gemma":[0.99919057,0.00011194903,0.000081135484,0.00036667715,0.00012542127,0.00012423376],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00056769844,0.00011218264,0.00013596709,0.000016788681,0.0063599213,0.00030542127,0.00067544985,0.00008742287,0.00008398198],"category_scores_gemma":[0.00006443814,0.000070273345,0.00010330275,0.00005700449,0.00045259445,0.0004203855,0.000009106036,0.00007906218,0.000012950707],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005977586,0.0006337829,0.14250803,0.0001146637,0.0003096605,0.000018634337,0.26787597,0.0000074561203,0.0006410219,0.33264336,0.0052164183,0.24943322],"study_design_scores_gemma":[0.0006224021,0.000020932612,0.1602086,0.0000124746,0.00002246153,4.542079e-8,0.0034603179,0.00003269436,0.0016846096,0.0053429636,0.82838947,0.00020305021],"about_ca_topic_score_codex":0.00094717636,"about_ca_topic_score_gemma":0.076531276,"teacher_disagreement_score":0.82317305,"about_ca_system_score_codex":0.000042268188,"about_ca_system_score_gemma":0.00029541357,"threshold_uncertainty_score":0.99493366},"labels":[],"label_agreement":null},{"id":"W2772432563","doi":"10.3141/2662-05","title":"Cycling in Toronto, Ontario, Canada: Route Choice Behavior and Implications for Infrastructure Planning","year":2017,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"Ontario Centres of Excellence","keywords":"Cycling; TRIPS architecture; Transport engineering; Multinomial logistic regression; Travel behavior; Mixed logit; Geography; Transportation planning; Engineering; Logistic regression; Computer science; Forestry","score_opus":0.11012404356219842,"score_gpt":0.4525720292985543,"score_spread":0.3424479857363559,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2772432563","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99244404,0.00024897754,0.00017562532,0.0046894895,0.00044763746,0.0012701646,0.0001157162,0.000009584946,0.00059878116],"genre_scores_gemma":[0.99790144,0.0002364885,0.00083721906,0.0000307247,0.00021782276,0.00013416258,0.000017984083,0.00002379325,0.00060036394],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99580556,0.00037754758,0.00097441796,0.00037771784,0.0016488162,0.0008159122],"domain_scores_gemma":[0.99591875,0.0008887653,0.00051703176,0.00047312074,0.0018227221,0.00037960472],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.003650451,0.00017365518,0.00036443304,0.00021395093,0.0028669722,0.00032574072,0.001368578,0.00018858367,0.00020869933],"category_scores_gemma":[0.00039755678,0.00014559459,0.00016938832,0.00032365826,0.0007779671,0.001330767,0.0000072411253,0.0013646068,2.4258688e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024416824,0.00006318324,0.98603046,0.00005539424,0.000028884857,0.000016683307,0.0060988176,0.000074859,0.0001898404,0.0016169057,0.0008849792,0.0046958365],"study_design_scores_gemma":[0.0010139167,0.00008304131,0.97685176,0.0001735949,0.000039339717,6.0333e-8,0.0038505953,0.0000069344383,0.000045739016,0.0022311995,0.015562302,0.00014153443],"about_ca_topic_score_codex":0.99399245,"about_ca_topic_score_gemma":0.9999146,"teacher_disagreement_score":0.0146773225,"about_ca_system_score_codex":0.0016765073,"about_ca_system_score_gemma":0.004101227,"threshold_uncertainty_score":0.99843115},"labels":[],"label_agreement":null},{"id":"W2772443261","doi":"10.1016/j.jth.2017.12.006","title":"Neighborhood walkability and objectively measured active transportation among 10–13 year olds","year":2017,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Walkability; Quartile; Destinations; Environmental health; Geography; Pedestrian; Community design; Transport engineering; Medicine; Demography; Physical activity; Engineering; Computer science; Physical therapy; Confidence interval","score_opus":0.03071865162967554,"score_gpt":0.33035348317050345,"score_spread":0.29963483154082793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2772443261","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.992729,0.0002531355,0.00044316004,0.0029712184,0.00039349447,0.00037937475,0.00007663069,0.00002825036,0.0027256983],"genre_scores_gemma":[0.9987989,0.00031668405,0.00025487016,0.000093391754,0.00031157173,0.0000037023776,0.000008842209,0.000017518156,0.00019448371],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973818,0.0001723944,0.00087524205,0.00031514408,0.0008110502,0.00044438348],"domain_scores_gemma":[0.99734914,0.00006383578,0.0012754898,0.00031280785,0.00046164193,0.0005370989],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0026397968,0.000196524,0.0006025352,0.000101062455,0.0013060895,0.00008545916,0.0004731955,0.00018035049,0.00023988394],"category_scores_gemma":[0.00009854136,0.00017536675,0.00026076936,0.00012759233,0.00066119386,0.0015888378,0.0000027583762,0.00046724975,0.0000018844881],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036746432,0.00018893185,0.9780433,0.000079410405,0.00005668425,0.000018872313,0.013506874,0.0000028624354,0.00002258657,0.0002225043,0.00006301667,0.0074274945],"study_design_scores_gemma":[0.0010222723,0.0002088072,0.9933742,0.00008902295,0.00007633662,8.5036044e-7,0.0016209139,0.0000019024486,0.00006576069,0.0020168459,0.001360734,0.0001623496],"about_ca_topic_score_codex":0.009959345,"about_ca_topic_score_gemma":0.06397478,"teacher_disagreement_score":0.05401544,"about_ca_system_score_codex":0.00019958988,"about_ca_system_score_gemma":0.0012353314,"threshold_uncertainty_score":0.9999941},"labels":[],"label_agreement":null},{"id":"W2773114929","doi":"10.3390/su9122326","title":"The Velocity of Density: Can We Build More Sustainable Cities Fast Enough?","year":2017,"lang":"en","type":"article","venue":"Sustainability","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Sustainability; Urban density; Time horizon; Climate change; Transit (satellite); Business; Urban planning; Transport engineering; Public transport; Engineering; Civil engineering; Ecology","score_opus":0.012607938542321354,"score_gpt":0.3019686945540715,"score_spread":0.28936075601175015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2773114929","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96559167,0.00019386759,0.000076545075,0.025714299,0.00020013773,0.0007949682,0.000016392256,0.00007526042,0.0073368833],"genre_scores_gemma":[0.9885575,0.000052711042,0.00004633654,0.00003758352,0.00016653539,0.000032878877,0.000002918181,0.000011576202,0.011091913],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973157,0.0003300953,0.00040172372,0.000435628,0.00060327613,0.00091354584],"domain_scores_gemma":[0.99541783,0.00033974918,0.00035503294,0.0014723949,0.002233444,0.00018155905],"candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0033583294,0.00019265414,0.00034264152,0.000041161602,0.0075300233,0.00040744545,0.0014033596,0.00016630869,0.000057486668],"category_scores_gemma":[0.0052503245,0.0001479818,0.00019974317,0.00019670179,0.005447466,0.0005516953,0.00025895925,0.00034271914,8.5093194e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055398843,0.00009420784,0.8759064,0.0002737218,0.000022859533,0.000019021852,0.019265413,0.0000035964147,0.0000026211544,0.09604607,0.00020080745,0.008109848],"study_design_scores_gemma":[0.00018520896,0.000026157877,0.68667865,0.000009049362,0.000025738414,1.1974363e-7,0.11768297,0.000013538194,0.00020121766,0.17346744,0.021537451,0.00017245223],"about_ca_topic_score_codex":0.07704337,"about_ca_topic_score_gemma":0.043851428,"teacher_disagreement_score":0.18922777,"about_ca_system_score_codex":0.0009510117,"about_ca_system_score_gemma":0.002490754,"threshold_uncertainty_score":0.99725914},"labels":[],"label_agreement":null},{"id":"W2774620591","doi":"10.3141/2662-08","title":"Dwelling Type Matters: Untangling the Paradox of Intensification and Bicycle Mode Choice","year":2017,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Apartment; Multinomial logistic regression; Mode choice; Geography; Poison control; Population; Logistic regression; Demography; Confounding; Transport engineering; Built environment; TRIPS architecture; Mode (computer interface); Demographic economics; Public transport; Engineering; Economics; Statistics; Environmental health; Sociology; Mathematics; Computer science; Medicine","score_opus":0.1674575434293308,"score_gpt":0.45927388702388733,"score_spread":0.29181634359455655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2774620591","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9802516,0.00029424723,0.00040830072,0.017629892,0.0004554647,0.00067799404,0.000024949224,0.0000133854055,0.00024413694],"genre_scores_gemma":[0.99773026,0.0010749762,0.0004764171,0.000058657948,0.0002478604,0.000015382222,0.000005810242,0.000024625338,0.00036601338],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9945415,0.0009189134,0.0010270867,0.00031663358,0.002595167,0.000600687],"domain_scores_gemma":[0.9934425,0.0012272237,0.000783611,0.00067545346,0.0036284158,0.00024283495],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.006513405,0.00015625996,0.00034014173,0.00033980366,0.0027124032,0.00031970764,0.0017017444,0.00015484326,0.00012460479],"category_scores_gemma":[0.000621401,0.000104492065,0.00021609123,0.0008021678,0.0024628239,0.0010593199,0.0000088149345,0.0013803612,0.000005051194],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00058902777,0.00011289112,0.97473323,0.00014470091,0.000080621874,0.000013826443,0.0128140375,0.00023857842,0.0024755283,0.0027874932,0.0007669294,0.0052431347],"study_design_scores_gemma":[0.0005239727,0.0001205626,0.97912776,0.00027579966,0.000052235584,6.508316e-8,0.0063587045,0.00015133026,0.0009441482,0.0057852967,0.0065506613,0.000109444765],"about_ca_topic_score_codex":0.07662,"about_ca_topic_score_gemma":0.18172124,"teacher_disagreement_score":0.105101235,"about_ca_system_score_codex":0.000110876645,"about_ca_system_score_gemma":0.0005363277,"threshold_uncertainty_score":0.99858594},"labels":[],"label_agreement":null},{"id":"W2774759990","doi":"10.1177/1524839917743231","title":"The Utility of Physical Activity Micro-Grants: The ParticipACTION Teen Challenge Program","year":2017,"lang":"en","type":"article","venue":"Health Promotion Practice","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Victoria; University of Lethbridge; University of Alberta; University of Toronto; Queen's University; University of British Columbia","funders":"","keywords":"Promotion (chess); Business; Subsidy; Physical activity; Sustainability; Resource (disambiguation); Public relations; Health promotion; Political science; Medicine; Public health; Nursing","score_opus":0.16569817346697546,"score_gpt":0.49712875829747566,"score_spread":0.3314305848305002,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2774759990","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79840285,0.00015211718,0.00017168738,0.17836352,0.00045739824,0.0020973156,0.00001064585,0.00010579114,0.020238664],"genre_scores_gemma":[0.9990137,0.00023211662,0.00009213618,0.00006350361,0.0002803776,0.00012300741,0.0000015675106,0.000006902913,0.00018664333],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99718213,0.0013963715,0.00024627437,0.0002612415,0.0004990548,0.00041493686],"domain_scores_gemma":[0.9971821,0.000706902,0.0010005386,0.00072219386,0.00026628305,0.00012198699],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0055479505,0.00010119239,0.00017750535,0.000011128161,0.0054177716,0.00020959684,0.00047562347,0.00007290795,0.000032317457],"category_scores_gemma":[0.0020100952,0.00006028021,0.00009177013,0.00010665228,0.00090480025,0.0014445022,0.000030825755,0.00039970444,0.000013194176],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031660206,0.0064129843,0.02405028,0.00018572815,0.00006020691,0.0000018303391,0.025249708,2.3801628e-7,0.00008774137,0.003474344,0.00064197415,0.93951833],"study_design_scores_gemma":[0.00042986276,0.000593368,0.79952383,0.000053003652,0.00007847759,7.9199947e-7,0.005854799,0.0004231643,0.0005663687,0.002298211,0.1900244,0.00015372223],"about_ca_topic_score_codex":0.0077948496,"about_ca_topic_score_gemma":0.006501152,"teacher_disagreement_score":0.9393646,"about_ca_system_score_codex":0.000071033435,"about_ca_system_score_gemma":0.0004394211,"threshold_uncertainty_score":0.9988123},"labels":[],"label_agreement":null},{"id":"W2775306293","doi":"10.2139/ssrn.5241955","title":"Severe Air Pollution and School Absences: Longitudinal Data on Expatriates in North China","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Residence; Expatriate; China; Demography; Demographic economics; Quarter (Canadian coin); Geography; Sample (material); Ventilation (architecture); Panel data; Environmental health; Socioeconomics; Medicine; Economics; Meteorology; Sociology; Econometrics","score_opus":0.02769628970615084,"score_gpt":0.3120228169341745,"score_spread":0.28432652722802365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2775306293","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945552,0.00091466703,0.00005289612,0.0026253883,0.00018113121,0.00012365209,0.000013316266,0.00001698953,0.0015168041],"genre_scores_gemma":[0.9959869,0.0029518155,0.000019083336,0.000036906396,0.00050365314,0.0000013464821,0.000009196899,0.000006638624,0.00048448195],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99781233,0.00009185384,0.00022333067,0.00031541142,0.00033075426,0.0012263368],"domain_scores_gemma":[0.999168,0.00002186159,0.00022075644,0.0004274791,0.000030714615,0.00013121833],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0022939967,0.000116891766,0.00016055592,0.000073630305,0.0015212852,0.00023218215,0.0009921571,0.00007505992,0.000051253603],"category_scores_gemma":[0.0002692936,0.000098107026,0.000040202118,0.000106344996,0.00021956603,0.0013825842,0.000063476866,0.0011451459,0.000012601902],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006181785,0.000046745314,0.9896629,0.0000031681238,0.000018868495,0.0000064270157,0.00042194754,0.000008938685,0.000002297909,0.0036720377,0.00003681425,0.006058077],"study_design_scores_gemma":[0.0004879301,0.00007753402,0.95585024,0.000023069575,0.000014342707,0.000006377616,0.0014234922,0.000015737796,0.0000021293017,0.041654553,0.00031415684,0.00013042345],"about_ca_topic_score_codex":0.008270269,"about_ca_topic_score_gemma":0.3912015,"teacher_disagreement_score":0.38293123,"about_ca_system_score_codex":0.00042643282,"about_ca_system_score_gemma":0.0018394168,"threshold_uncertainty_score":0.9997786},"labels":[],"label_agreement":null},{"id":"W2776508642","doi":"10.1371/journal.pone.0189472","title":"Place matters: A longitudinal analysis measuring the association between neighbourhood walkability and walking by age group and population center size in Canada","year":2017,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Montréal","funders":"Canadian Institutes of Health Research; Social Sciences and Humanities Research Council of Canada; Fonds de Recherche du Québec-Société et Culture","keywords":"Walkability; Neighbourhood (mathematics); Demography; Gerontology; Population; Logistic regression; Medicine; Psychology; Geography; Environmental health; Physical activity; Physical therapy","score_opus":0.034814604220028904,"score_gpt":0.2477450026280778,"score_spread":0.2129303984080489,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2776508642","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99745065,0.000059015245,0.0000037291627,0.001988035,0.000016527796,0.00017981822,0.000033846496,0.000010095574,0.0002582709],"genre_scores_gemma":[0.9997654,0.000016809809,0.000040066745,0.000043505246,0.000060812497,0.000006267177,0.00001661387,0.000003918885,0.0000466265],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99877614,0.00011324731,0.00019653978,0.00024366667,0.0004503968,0.00022000611],"domain_scores_gemma":[0.99927884,0.00026607662,0.00020126619,0.0001633735,0.000025233046,0.000065213855],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010222505,0.00007895037,0.0002296777,0.000023342414,0.00068338704,0.00026064014,0.00016918113,0.000051022704,0.000032896616],"category_scores_gemma":[0.00023756018,0.00006748956,0.000028686713,0.00011641015,0.000058077974,0.00041791648,0.0000345088,0.00013209543,1.473727e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006270601,0.000056176315,0.99833304,0.000019078905,0.0001731248,8.9955455e-7,0.0007857771,2.0485157e-7,0.00004416222,0.000004509108,0.0000072338917,0.0005695113],"study_design_scores_gemma":[0.00019760928,0.0000033701067,0.99890727,0.000027495731,0.00029155845,6.260456e-9,0.00021320894,0.000027084056,0.00002121538,0.00022420008,0.0000074462123,0.0000795353],"about_ca_topic_score_codex":0.9464558,"about_ca_topic_score_gemma":0.9931327,"teacher_disagreement_score":0.04667691,"about_ca_system_score_codex":0.00053972146,"about_ca_system_score_gemma":0.000039636467,"threshold_uncertainty_score":0.52561295},"labels":[],"label_agreement":null},{"id":"W2777531082","doi":"10.1177/0739456x17741196","title":"Rethinking Transport Infrastructure Planning to Extend Its Value over Time","year":2017,"lang":"en","type":"article","venue":"Journal of Planning Education and Research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Transport infrastructure; Core (optical fiber); Value (mathematics); Infrastructure planning; Transportation planning; Computer science; Business; Risk analysis (engineering); Management science; Economics; Operations research; Transport engineering; Engineering; Environmental resource management; Telecommunications","score_opus":0.09209600584699132,"score_gpt":0.4753290581901292,"score_spread":0.38323305234313787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2777531082","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9837437,0.0006116272,0.000036760935,0.0027523353,0.00056343846,0.0001200405,0.0000024009055,0.000007727969,0.012161913],"genre_scores_gemma":[0.995472,0.00002848711,0.00059740205,0.00010229777,0.00097093335,0.0000015620162,0.000001821081,0.000007472396,0.0028180107],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99835056,0.00014844222,0.00026756115,0.00015205928,0.00079924904,0.0002821023],"domain_scores_gemma":[0.9987428,0.00013732306,0.00021086051,0.0001598708,0.00044765408,0.00030146644],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0036593974,0.00007320559,0.00015988648,0.00025579188,0.0017029492,0.00032619157,0.00048680414,0.00011439198,0.0002097351],"category_scores_gemma":[0.00063763914,0.000059686827,0.00004783859,0.00014497039,0.00018947832,0.0006146686,0.000024009769,0.0006368305,0.0000055352884],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000094956646,0.00007326232,0.86626065,0.000039293318,0.00002219964,0.00003174545,0.11730556,0.00007062794,0.0009448984,0.00049523026,0.00875271,0.005908854],"study_design_scores_gemma":[0.00014090844,0.00004776395,0.96607375,0.00036155028,0.00000955471,0.0000044342423,0.0021361692,0.000017325125,0.00009058509,0.003520192,0.027520439,0.00007732337],"about_ca_topic_score_codex":0.00020925181,"about_ca_topic_score_gemma":0.000013695776,"teacher_disagreement_score":0.11516939,"about_ca_system_score_codex":0.00008010202,"about_ca_system_score_gemma":0.0010013157,"threshold_uncertainty_score":0.9995967},"labels":[],"label_agreement":null},{"id":"W2778230594","doi":"10.1080/23800127.2017.1421290","title":"Moving from mobility to immobility in the political economy of resource-dependent regions","year":2017,"lang":"en","type":"article","venue":"Applied Mobilities","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University; University of Northern British Columbia","funders":"Social Sciences and Humanities Research Council of Canada; Canada Research Chairs","keywords":"Resource (disambiguation); Work (physics); Politics; Order (exchange); Business; Economic growth; Political science; Economics; Engineering; Computer science; Finance","score_opus":0.032341395984221616,"score_gpt":0.30381076126256007,"score_spread":0.2714693652783384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2778230594","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7670348,0.000030394358,0.00006701481,0.003883115,0.000060523,0.0008273807,0.000054867836,0.000035564935,0.2280063],"genre_scores_gemma":[0.998662,0.0000013001155,0.000120703735,0.00062512176,0.00018807186,0.00025934953,0.000008266072,0.000009855546,0.00012533057],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99775183,0.00020492243,0.0005427479,0.0005545691,0.00035812813,0.0005877931],"domain_scores_gemma":[0.9970682,0.00087478355,0.00015976223,0.0016548114,0.00006481547,0.00017757832],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021160075,0.00017067888,0.00036424608,0.000053081258,0.000823132,0.00018383244,0.0014523998,0.00014357945,0.00016747734],"category_scores_gemma":[0.00037307857,0.00013836166,0.00013135865,0.00009165122,0.0016041175,0.0002514468,0.00014796908,0.00026169425,0.000012146923],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010310626,0.00042699804,0.324941,0.000043994238,0.00001667831,0.0000025125412,0.027951285,0.000007138841,0.00012667297,0.6452856,0.00015346026,0.0009415281],"study_design_scores_gemma":[0.00027171435,0.000023408636,0.48561677,0.000018336132,0.000018494098,5.77095e-8,0.08545748,0.0000033816816,0.0009196548,0.42174464,0.005737879,0.00018818595],"about_ca_topic_score_codex":0.044334665,"about_ca_topic_score_gemma":0.032838717,"teacher_disagreement_score":0.23162717,"about_ca_system_score_codex":0.00019479472,"about_ca_system_score_gemma":0.00022172128,"threshold_uncertainty_score":0.98480946},"labels":[],"label_agreement":null},{"id":"W2779007186","doi":"10.1016/j.amepre.2011.05.013","title":"Adults' Sedentary Behavior","year":2011,"lang":"en","type":"article","venue":"American Journal of Preventive Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":884,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Children's Hospital of Eastern Ontario","funders":"National Cancer Institute; National Heart, Lung, and Blood Institute","keywords":"Sedentary behavior; Sitting; Context (archaeology); Psychological intervention; Intervention (counseling); Behavior change; Sedentary lifestyle; Psychology; Construct (python library); Physical activity; Applied psychology; Medicine; Social psychology; Physical medicine and rehabilitation; Computer science","score_opus":0.026782417819469297,"score_gpt":0.3231379087368579,"score_spread":0.2963554909173886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2779007186","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9878934,0.0002934205,0.0005658023,0.00044082865,0.0004878689,0.00012146826,0.000002041266,0.000011070499,0.010184108],"genre_scores_gemma":[0.99791586,0.000083452556,0.00082408596,0.0001664572,0.0005525912,0.0000026571897,0.0000011173016,0.0000067976844,0.00044700367],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986016,0.00021126539,0.00042538892,0.000112665795,0.00045148958,0.00019755145],"domain_scores_gemma":[0.99880755,0.000059205082,0.00056169665,0.00010524729,0.0002522577,0.00021406717],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009802526,0.000088118046,0.00031530415,0.00010264943,0.00011173233,0.000004128646,0.00034219082,0.000020224179,0.0026993689],"category_scores_gemma":[0.000099321085,0.000063523396,0.000115706476,0.0003177732,0.001493742,0.00025048628,0.000011368828,0.0001915882,0.0000067937335],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018214874,0.00024217603,0.84803253,0.000004852683,0.00005069437,0.00011066972,0.043415092,1.6143337e-8,0.00006441121,0.00014304262,0.00053660024,0.107217744],"study_design_scores_gemma":[0.0006644062,0.0010724186,0.9523043,0.0001693956,0.00020334843,0.0000060217794,0.04212499,1.5393555e-7,0.00012874977,0.0006449363,0.0025861,0.0000952006],"about_ca_topic_score_codex":0.0058606616,"about_ca_topic_score_gemma":0.00078977627,"teacher_disagreement_score":0.10712254,"about_ca_system_score_codex":0.00005378877,"about_ca_system_score_gemma":0.00012141684,"threshold_uncertainty_score":0.9982123},"labels":[],"label_agreement":null},{"id":"W2780296496","doi":"10.20381/ruor-21327","title":"The Adaptation of a Perceived Walkability Questionnaire for Adults Living in Northern Climates","year":2017,"lang":"en","type":"dissertation","venue":"uO Research (University of Ottawa)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Walkability; Adaptation (eye); Geography; Built environment; Psychology; Environmental planning; Engineering; Civil engineering","score_opus":0.04831773932196813,"score_gpt":0.3558450641598948,"score_spread":0.30752732483792666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2780296496","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9889734,0.00011702436,0.000016501897,0.00029862023,0.00011193922,0.0008976198,0.000039599603,0.000014695219,0.009530628],"genre_scores_gemma":[0.9936116,0.00028204182,0.000079285055,3.8195472e-7,0.000037043726,0.0000043351333,0.000092990136,0.000008413004,0.0058839493],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99798733,0.0004135312,0.00021732159,0.00031801968,0.0007161269,0.00034765937],"domain_scores_gemma":[0.99700767,0.0008265207,0.00033397353,0.00035527098,0.0014017302,0.00007485904],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0037081437,0.000099561774,0.0002563784,0.00018909489,0.0018951949,0.000046298483,0.0009767695,0.00024767977,0.00004866107],"category_scores_gemma":[0.0019414705,0.00009979054,0.00016572885,0.00023175277,0.00087722583,0.00037528187,0.000024839703,0.00032586415,0.000002702602],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011304182,0.00013493512,0.9022905,0.00056846545,0.000019918514,0.0000018134679,0.06912929,0.0000044761214,0.000035792094,0.0013569624,0.00003321028,0.026311576],"study_design_scores_gemma":[0.00021885715,0.00006181657,0.8715256,0.0005687816,0.000013797909,8.588124e-9,0.12529878,0.00020026497,0.000007642404,0.001056343,0.00096725806,0.00008087653],"about_ca_topic_score_codex":0.04360021,"about_ca_topic_score_gemma":0.95187026,"teacher_disagreement_score":0.90827006,"about_ca_system_score_codex":0.00022136816,"about_ca_system_score_gemma":0.00080726505,"threshold_uncertainty_score":0.9994042},"labels":[],"label_agreement":null},{"id":"W2781658522","doi":"","title":"Understanding Parent and Child Perceptions of Barriers and Enablers Influencing Active School Travel","year":2017,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Children's Health Foundation; Children's Health Research Institute","keywords":"Perception; Psychology","score_opus":0.1594462356773702,"score_gpt":0.3459434646601047,"score_spread":0.18649722898273452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2781658522","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963061,0.000038486596,0.00026577918,0.0002878169,0.00009945063,0.00024314717,0.000035668945,0.000038507787,0.0026850181],"genre_scores_gemma":[0.99916846,0.00016075624,0.000012701425,0.000048261973,0.000050061033,5.7034197e-7,0.000003504924,0.000012471586,0.0005432031],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985888,0.00014873115,0.00017983034,0.00042368504,0.00030532628,0.00035365595],"domain_scores_gemma":[0.99875283,0.000056246194,0.00024596066,0.00035463498,0.00008408904,0.00050621823],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00043451638,0.00017976525,0.00026460984,0.00021770904,0.0025630556,0.00040748055,0.00051404926,0.0001709883,0.0000625053],"category_scores_gemma":[0.00013945282,0.00020205014,0.00007414569,0.00013553104,0.0010680711,0.003047931,0.00015139394,0.0003797905,0.0000032480239],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052571962,0.000016848342,0.99248964,0.000039733757,0.000040217044,0.000016138385,0.0066470928,0.0000015737763,0.00022071604,0.00036500595,1.0990855e-7,0.00011037813],"study_design_scores_gemma":[0.00062419,0.000033072294,0.96068746,0.00019578086,0.00008549322,0.0000010982404,0.03746601,1.4943832e-7,0.00019385187,0.00044018365,0.00006181964,0.00021091998],"about_ca_topic_score_codex":0.00027866542,"about_ca_topic_score_gemma":0.020206533,"teacher_disagreement_score":0.03180218,"about_ca_system_score_codex":0.00031282534,"about_ca_system_score_gemma":0.00018889659,"threshold_uncertainty_score":0.9987355},"labels":[],"label_agreement":null},{"id":"W2782554672","doi":"10.1016/j.jth.2017.11.024","title":"Reliability of an International Physical Activity Questionnaire (IPAQ) Modified to Capture Neighbourhood-specific Physical Activity ( poster )","year":2017,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Neighbourhood (mathematics); Physical activity; Kappa; Spearman's rank correlation coefficient; Psychology; Rank correlation; Consistency (knowledge bases); Demography; Physical therapy; Medicine; Statistics; Mathematics","score_opus":0.039892658191715114,"score_gpt":0.37330269273028066,"score_spread":0.33341003453856555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2782554672","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9867273,0.000017597746,0.0013314332,0.009457005,0.0008957679,0.00035977288,0.00009414661,0.000026404648,0.0010906014],"genre_scores_gemma":[0.9982337,0.000038549057,0.00020086096,0.0000939891,0.0013349383,0.000003759926,0.0000045121956,0.000017728209,0.000071973554],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99726415,0.0002585775,0.00048255196,0.00040665534,0.0011557116,0.00043236095],"domain_scores_gemma":[0.9969358,0.00006308423,0.0011320609,0.0006441612,0.00056676636,0.0006581491],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015892654,0.00022933919,0.0007573733,0.00010274076,0.00069565134,0.0000895898,0.0010993647,0.00013980723,0.000045039764],"category_scores_gemma":[0.000097214885,0.00019291455,0.0004391781,0.00013769214,0.00044240744,0.002353518,0.000019919456,0.0007148834,0.0000023943396],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003559175,0.010537893,0.8304175,0.0002567908,0.000115854644,0.00007363534,0.041636184,0.000368447,0.0034414653,0.0017809413,0.00014025117,0.10767184],"study_design_scores_gemma":[0.00060074584,0.00031189874,0.9962844,0.0001222242,0.000029779756,0.0000017513764,0.00017080067,0.00008306039,0.00071953307,0.00093669444,0.00056575786,0.00017331277],"about_ca_topic_score_codex":0.00790812,"about_ca_topic_score_gemma":0.0039229463,"teacher_disagreement_score":0.16586691,"about_ca_system_score_codex":0.00036429113,"about_ca_system_score_gemma":0.00095821754,"threshold_uncertainty_score":0.9986983},"labels":[],"label_agreement":null},{"id":"W2782843860","doi":"10.1016/j.jth.2017.11.120","title":"Universal Design for the Rural Walks of Life: Operationalizing Walkability in Bonnyville, Alberta, Canada ( breakout presentation )","year":2017,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Health Canada; Alberta Health Services; University of Alberta","funders":"","keywords":"Walkability; Operationalization; Built environment; Community design; Geography; Political science; Engineering; Civil engineering","score_opus":0.0407354814091556,"score_gpt":0.33383506713792926,"score_spread":0.29309958572877365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2782843860","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9695898,0.00045067526,0.0044099796,0.023955308,0.0005398596,0.0007077079,0.00003564807,0.00000287343,0.00030811955],"genre_scores_gemma":[0.9987657,0.00017355234,0.00054064253,0.00017936814,0.00017746424,0.0000040647105,0.000006043924,0.000006365622,0.00014677779],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99820226,0.00014790129,0.00077440875,0.00011104173,0.00050210493,0.00026226407],"domain_scores_gemma":[0.9981354,0.0004327393,0.0007685378,0.00019952038,0.00028097758,0.00018285702],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002568031,0.00009055459,0.00032484243,0.000041839034,0.00082622864,0.00003234963,0.00051731576,0.000056658246,0.00006494479],"category_scores_gemma":[0.00019995596,0.00006709827,0.00012239821,0.00008269003,0.00021535672,0.0005872901,0.00000381009,0.00018696731,7.2724724e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039063836,0.00009410499,0.9867746,0.000083005914,0.000035906305,0.000003372245,0.0077306107,0.0010490654,0.0000149322905,0.00071883865,0.0005753511,0.0025295776],"study_design_scores_gemma":[0.0008428614,0.00006832306,0.9925334,0.00006133711,0.000026482028,3.8465888e-7,0.0031552808,0.0001436675,0.000025694582,0.0003516075,0.0027217546,0.000069199516],"about_ca_topic_score_codex":0.93784803,"about_ca_topic_score_gemma":0.9857096,"teacher_disagreement_score":0.047861572,"about_ca_system_score_codex":0.00033583524,"about_ca_system_score_gemma":0.007542274,"threshold_uncertainty_score":0.99808407},"labels":[],"label_agreement":null},{"id":"W2783004420","doi":"10.1016/j.jth.2017.11.096","title":"Effects of Neighbourhood Exposure Definition on the Association between Walkability and Transportation Physical Activity ( breakout presentation )","year":2017,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; University of Toronto; St. Michael's Hospital","funders":"","keywords":"Walkability; Neighbourhood (mathematics); Built environment; Environmental health; Physical activity; Confounding; Level design; Geography; Logistic regression; Overweight; Demography; Psychology; Obesity; Gerontology; Medicine; Ecology; Sociology","score_opus":0.034033858548937944,"score_gpt":0.337654471859871,"score_spread":0.3036206133109331,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2783004420","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99219066,0.00005545102,0.00035809347,0.006335501,0.00018348513,0.0004504293,0.000053326345,0.000010956067,0.0003621272],"genre_scores_gemma":[0.99935603,0.00015702221,0.000054574055,0.000048490452,0.00034621073,0.000004889155,0.000008850303,0.000008310425,0.000015618656],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997995,0.00032381454,0.00048061542,0.00016972517,0.0007949099,0.00023589237],"domain_scores_gemma":[0.9970386,0.0006479545,0.0017421406,0.0001856549,0.00022862882,0.0001569973],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021765614,0.00012405911,0.00043556225,0.000051246683,0.00080593466,0.00004598707,0.00025114114,0.00011534211,0.000011791525],"category_scores_gemma":[0.00018457501,0.00009152836,0.00020584714,0.00008913813,0.00019224548,0.00073471176,0.0000017885275,0.00037166497,4.620032e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015812823,0.00038311534,0.9769711,0.00021554572,0.00005933916,0.000002352211,0.008974471,0.0000025372553,0.00020230042,0.00091263425,0.000013008876,0.012105496],"study_design_scores_gemma":[0.00069185504,0.00032523228,0.9938344,0.00011826791,0.00014329463,9.846308e-8,0.00023905053,0.0000021618548,0.0014791249,0.0030431214,0.000049304293,0.00007412599],"about_ca_topic_score_codex":0.0031455008,"about_ca_topic_score_gemma":0.0028023508,"teacher_disagreement_score":0.01686329,"about_ca_system_score_codex":0.00018246865,"about_ca_system_score_gemma":0.00036474474,"threshold_uncertainty_score":0.6198679},"labels":[],"label_agreement":null},{"id":"W2783110226","doi":"10.1016/j.jth.2017.11.025","title":"A Mixed Methods Study of Changes in Physical Activity Following Residential Relocation ( poster )","year":2017,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Neighbourhood (mathematics); Relocation; Walkability; Perception; Psychology; Built environment; Gerontology; Physical activity; Environmental health; Medicine; Demography; Sociology; Physical therapy; Engineering; Mathematics","score_opus":0.09420456264616414,"score_gpt":0.46548213586197357,"score_spread":0.37127757321580945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2783110226","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948343,0.00007219375,0.00043716963,0.0035159916,0.0006471334,0.00033478063,0.0000026063142,0.0000064886367,0.00014936013],"genre_scores_gemma":[0.9990209,0.000038606027,0.00059185864,0.000024280433,0.0002783128,0.0000029217867,6.270705e-7,0.000008270461,0.000034253317],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979371,0.0005324065,0.0005001556,0.00017025317,0.0005993391,0.00026073665],"domain_scores_gemma":[0.9983246,0.00008819103,0.0010559544,0.00026599652,0.00011776501,0.00014751288],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0049343645,0.00010176386,0.0005678493,0.00013820425,0.00043877756,0.000032073916,0.00044046086,0.00006519153,0.000010757561],"category_scores_gemma":[0.00008604544,0.00008828423,0.00018658009,0.00014686339,0.00010158257,0.000675411,0.000008243778,0.00031625322,2.2286167e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027590257,0.0014923213,0.9129962,0.00006770123,0.00004371864,0.000034278994,0.04733445,0.000004036908,0.00058808853,0.000021985392,0.000012176459,0.03712917],"study_design_scores_gemma":[0.0009278376,0.0004123287,0.9936498,0.00010572535,0.000053779248,3.2171036e-7,0.0038228673,0.0000040976274,0.0006313027,0.00023489069,0.00008520893,0.00007183118],"about_ca_topic_score_codex":0.017862292,"about_ca_topic_score_gemma":0.13365772,"teacher_disagreement_score":0.11579543,"about_ca_system_score_codex":0.00012454581,"about_ca_system_score_gemma":0.0005845563,"threshold_uncertainty_score":0.98867786},"labels":[],"label_agreement":null},{"id":"W2783118874","doi":"10.1016/j.jth.2017.11.113","title":"Adaptation of the Neighbourhood Environment Walkability Scale for use in Northern Climates: The NEWS-North ( breakout presentation )","year":2017,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Walkability; Built environment; Neighbourhood (mathematics); Scale (ratio); Psychological intervention; Pedestrian; Psychology; Applied psychology; Environmental health; Transport engineering; Geography; Medicine; Engineering; Civil engineering","score_opus":0.053241418188945594,"score_gpt":0.3265842215186126,"score_spread":0.273342803329667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2783118874","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9901769,0.00011385924,0.0016935715,0.0068497816,0.0002519313,0.0007898497,0.000055314365,0.000003970729,0.000064785825],"genre_scores_gemma":[0.9989034,0.00030224072,0.0004970244,0.000098629636,0.00014056753,0.000008995447,0.0000063962,0.000008664371,0.00003406994],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979465,0.0001854984,0.00089695107,0.00015723551,0.0005458216,0.0002679645],"domain_scores_gemma":[0.99782234,0.00014388328,0.0013948355,0.00039953436,0.00012819814,0.00011121264],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018983188,0.000102736376,0.00029774845,0.00003447579,0.0008137066,0.000045945897,0.00061012886,0.000060314316,0.00002386173],"category_scores_gemma":[0.000069615795,0.00006163319,0.00025060304,0.00007969136,0.00035210082,0.00070136006,0.000007464762,0.00022071034,3.6198674e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001440809,0.0002106267,0.9767225,0.000059511374,0.000010198387,6.218812e-7,0.011377361,0.00059956877,0.000006078413,0.000028896367,0.000008011971,0.010832556],"study_design_scores_gemma":[0.0006242239,0.0000906827,0.9953326,0.000058176753,0.0000354253,3.456667e-7,0.0022711174,0.00009710484,0.000019362918,0.00061280245,0.0008011048,0.000057047306],"about_ca_topic_score_codex":0.03293982,"about_ca_topic_score_gemma":0.6531002,"teacher_disagreement_score":0.6201604,"about_ca_system_score_codex":0.00018668757,"about_ca_system_score_gemma":0.00062755117,"threshold_uncertainty_score":0.9734999},"labels":[],"label_agreement":null},{"id":"W2783173481","doi":"10.1016/j.jth.2017.11.137","title":"Walkability as an Indicator of Neighbourhood Resilience ( breakout presentation )","year":2017,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Walkability; Neighbourhood (mathematics); Built environment; Geography; Environmental planning; Urban resilience; Urban design; Climate change; Transport engineering; Environmental resource management; Urban planning; Civil engineering; Environmental science; Engineering; Ecology","score_opus":0.031221434874265958,"score_gpt":0.3918424528868602,"score_spread":0.3606210180125943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2783173481","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99157107,0.00020813868,0.00035906408,0.004336408,0.00038153914,0.00026505286,0.000024816005,0.000013600524,0.0028402957],"genre_scores_gemma":[0.9986557,0.0002445845,0.0005832427,0.00012746431,0.0002892446,0.0000014586905,0.0000045333272,0.000008841127,0.00008497613],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99724305,0.00020144785,0.0010532193,0.00023159325,0.00092331856,0.00034736385],"domain_scores_gemma":[0.996713,0.000056457622,0.001936846,0.0004910816,0.00027900885,0.00052363373],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035986572,0.0001178698,0.00045974823,0.00009836913,0.00087716425,0.000051366147,0.00097323075,0.00011151485,0.00037656882],"category_scores_gemma":[0.0001386222,0.00010182017,0.00019914759,0.000110041925,0.0006278261,0.0015574433,0.0000065808554,0.00031827745,0.000002519733],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018588394,0.00038339105,0.97666657,0.00009155062,0.000015358219,0.000011894163,0.010488874,0.000004638475,0.000068014706,0.0007250303,0.000031236534,0.011327529],"study_design_scores_gemma":[0.00049797294,0.0003462305,0.993107,0.00007128376,0.00002888254,0.000001964828,0.0013479765,0.0000026223588,0.00028104923,0.0033715945,0.00085551763,0.0000878676],"about_ca_topic_score_codex":0.020662338,"about_ca_topic_score_gemma":0.015713593,"teacher_disagreement_score":0.01644044,"about_ca_system_score_codex":0.00012477457,"about_ca_system_score_gemma":0.0023277965,"threshold_uncertainty_score":0.98585916},"labels":[],"label_agreement":null},{"id":"W2783357226","doi":"10.1016/j.jth.2017.11.115","title":"Plus 15 – Envisioning Calgary’s Cultural Backbone ( breakout presentation )","year":2017,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Walkability; Psychological intervention; Downtown; Pedestrian; Sociology; Presentation (obstetrics); Identity (music); Architecture; Transport engineering; Built environment; Civil engineering; Engineering; Psychology; Geography; Aesthetics","score_opus":0.051917873209669375,"score_gpt":0.39297987447086363,"score_spread":0.34106200126119424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2783357226","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9809924,0.00084601983,0.00119688,0.008897496,0.0010144331,0.0002528342,0.000011559839,0.000027623626,0.0067607947],"genre_scores_gemma":[0.99612844,0.00061048154,0.001207197,0.00023789107,0.00069386116,0.0000013680801,0.000011096683,0.000011068844,0.0010985772],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976751,0.00010646956,0.00082638336,0.00018421121,0.00079449266,0.0004133052],"domain_scores_gemma":[0.9978371,0.000040491457,0.001164442,0.00025879522,0.00025684718,0.0004422881],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0018633377,0.0001328235,0.00042841866,0.00007152377,0.0017129412,0.0001363662,0.0006081591,0.0001021043,0.00029762325],"category_scores_gemma":[0.00006137384,0.00010633086,0.00024325214,0.00008201626,0.00030637326,0.0014881145,0.0000069726034,0.0003858928,0.0000074711684],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021749877,0.0001464948,0.9535352,0.00009592494,0.000044925368,0.00009213104,0.0231668,0.00003687727,0.00008212264,0.00064019207,0.0012590666,0.020682743],"study_design_scores_gemma":[0.00090411096,0.00010400295,0.97759074,0.00014634787,0.000034717756,0.0000051865973,0.001389038,0.000016660702,0.000037204893,0.00034782142,0.019300219,0.0001239285],"about_ca_topic_score_codex":0.013805916,"about_ca_topic_score_gemma":0.014016488,"teacher_disagreement_score":0.024055539,"about_ca_system_score_codex":0.00022674962,"about_ca_system_score_gemma":0.0010849878,"threshold_uncertainty_score":0.9995867},"labels":[],"label_agreement":null},{"id":"W2783374936","doi":"10.1016/j.jth.2017.11.041","title":"Validating Walkability Models Using Volunteered Mobile Phone Data ( breakout presentation )","year":2017,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Neighbourhood (mathematics); Geocoding; 3D city models; Phone; Walkability; Computer science; Mobile phone; Pedestrian; Volunteered geographic information; Urban computing; Geolocation; Geography; Transport engineering; Cartography; Human–computer interaction; Data science; Artificial intelligence; World Wide Web; Telecommunications; Built environment; Mathematics; Engineering; Visualization","score_opus":0.18214962323634812,"score_gpt":0.4414449090614107,"score_spread":0.25929528582506256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2783374936","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9792845,0.0005143911,0.016772576,0.001358597,0.0007361355,0.00042036732,0.00013831047,0.000025445976,0.00074963673],"genre_scores_gemma":[0.9940769,0.000244919,0.004841812,0.000081349295,0.00060669734,0.0000018703827,0.000041380445,0.000016466762,0.00008859819],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969344,0.00020002789,0.0011729191,0.00034065853,0.0008912635,0.00046072854],"domain_scores_gemma":[0.99658966,0.0000691806,0.0016412262,0.0009734607,0.0003494515,0.0003770347],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.005231563,0.00015322596,0.00051818194,0.00007653473,0.001693138,0.00014801377,0.0015320908,0.00010713187,0.00014653766],"category_scores_gemma":[0.00009809619,0.00014010044,0.00016734841,0.0001193519,0.0003264456,0.0035760175,0.000031191445,0.0003821687,0.0000012079945],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001979193,0.00047171614,0.9632375,0.00025325944,0.00006934749,0.000031631185,0.017715093,0.0013922853,0.0002529767,0.00011666677,0.0002609119,0.016000655],"study_design_scores_gemma":[0.002507762,0.00024206906,0.9662802,0.0005427018,0.00025737844,0.000012554982,0.0065771127,0.01083864,0.00025497732,0.007356311,0.004579437,0.0005508573],"about_ca_topic_score_codex":0.034176275,"about_ca_topic_score_gemma":0.014490287,"teacher_disagreement_score":0.019685987,"about_ca_system_score_codex":0.00027437884,"about_ca_system_score_gemma":0.0018032909,"threshold_uncertainty_score":0.99960655},"labels":[],"label_agreement":null},{"id":"W2783438868","doi":"10.1016/j.jth.2017.11.023","title":"Measuring Spatial Accessibility of Healthcare Services in Calgary ( poster )","year":2017,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Walkability; Pedestrian; Health care; Geography; Transport engineering; Catchment area; Spatial analysis; Geographic information system; Built environment; Computer science; Cartography; Remote sensing; Engineering; Political science; Civil engineering","score_opus":0.06400665781517184,"score_gpt":0.3614274005191528,"score_spread":0.29742074270398094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2783438868","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98859334,0.001034716,0.00011968035,0.008349606,0.0006190146,0.00029128164,0.000021011543,0.0000105987065,0.00096072577],"genre_scores_gemma":[0.9988066,0.000334441,0.00025675978,0.00027041355,0.00028996062,0.0000014826102,0.000003862137,0.000011734643,0.000024768438],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9966899,0.00022514205,0.0015073876,0.0002458385,0.0008605319,0.00047118418],"domain_scores_gemma":[0.99696326,0.000043166343,0.0018116733,0.00043703316,0.00035937427,0.00038549572],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042297174,0.00015231654,0.00071491953,0.00015311092,0.0005910146,0.000049274327,0.0010372159,0.00014612208,0.00008579403],"category_scores_gemma":[0.00003530831,0.00013233234,0.00023977786,0.00012951336,0.00027381888,0.0011251082,0.000014887232,0.00049759925,7.937134e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002550051,0.00020065352,0.9771511,0.00067777367,0.00001342561,0.000035943027,0.009388461,0.0000021615451,0.000026845953,0.000052577692,0.0000029149658,0.012193165],"study_design_scores_gemma":[0.0007430702,0.00013078544,0.9965243,0.0005253548,0.000015157775,0.0000012597759,0.00071394606,0.0000034237312,0.00013882054,0.00067544973,0.00042561293,0.000102855614],"about_ca_topic_score_codex":0.15597846,"about_ca_topic_score_gemma":0.41597092,"teacher_disagreement_score":0.25999245,"about_ca_system_score_codex":0.0002395139,"about_ca_system_score_gemma":0.0017966656,"threshold_uncertainty_score":0.849642},"labels":[],"label_agreement":null},{"id":"W2783577770","doi":"10.1016/j.jth.2017.11.095","title":"Check the Score: Field Validation of Street Smart Walk Score in Alberta, Canada ( breakout presentation )","year":2017,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Walkability; Pedestrian; Geography; Metropolitan area; Built environment; Psychology; Statistics; Engineering; Mathematics","score_opus":0.03739069220548062,"score_gpt":0.33332947575689653,"score_spread":0.2959387835514159,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2783577770","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97711986,0.000109826215,0.00005883968,0.020787958,0.00049750146,0.00024734743,0.000013222336,0.000002293526,0.0011631227],"genre_scores_gemma":[0.9991392,0.00015985007,0.00003921498,0.00026866366,0.00017899723,0.0000018007614,0.000008730616,0.000005869634,0.00019768171],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99808264,0.00010618948,0.00079044636,0.00012074326,0.00064775004,0.00025223842],"domain_scores_gemma":[0.99824905,0.00013226399,0.0010506882,0.00025628842,0.00016377713,0.00014795254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015132369,0.00009082252,0.00029888048,0.000050581784,0.00045197606,0.000030728566,0.000549832,0.000066199325,0.00009365344],"category_scores_gemma":[0.00010043177,0.00006680368,0.0001027642,0.00011154184,0.00013066392,0.00051254354,0.000004355417,0.00027929753,2.1083422e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007122744,0.000060948234,0.9930571,0.000055700642,0.000012748657,0.000008832534,0.0036944167,0.0000359729,0.0000071376808,0.00014127791,0.0004925636,0.002362076],"study_design_scores_gemma":[0.00038956758,0.000070445734,0.9959778,0.00014629365,0.00002017256,5.902672e-7,0.00080381514,0.000004816888,0.00044752168,0.0003290127,0.001749133,0.000060812155],"about_ca_topic_score_codex":0.9735895,"about_ca_topic_score_gemma":0.9976079,"teacher_disagreement_score":0.02401841,"about_ca_system_score_codex":0.00016716904,"about_ca_system_score_gemma":0.0033890186,"threshold_uncertainty_score":0.60119736},"labels":[],"label_agreement":null},{"id":"W2783582975","doi":"10.1016/j.jth.2017.11.097","title":"WalkYourPlace - Building a Web-based Platform for Urban Accessibility Analysis ( breakout presentation )","year":2017,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Walkability; Pedestrian; Computer science; Python (programming language); World Wide Web; Neighbourhood (mathematics); Entertainment; 3D city models; Metropolitan area; Transport engineering; Geography; Built environment; Engineering; Visualization","score_opus":0.053004414040433295,"score_gpt":0.40408071658386174,"score_spread":0.3510763025434285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2783582975","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9664187,0.00028391051,0.025670953,0.005821398,0.000509953,0.00059563294,0.00010311823,0.000035469984,0.0005608967],"genre_scores_gemma":[0.9946556,0.00006818261,0.0042804307,0.00022939478,0.0005184631,0.0000101577125,0.000026212494,0.000015770536,0.00019577055],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969236,0.00010027405,0.0012383923,0.0003363362,0.0008382857,0.0005630809],"domain_scores_gemma":[0.99620396,0.00018348826,0.0021402459,0.0005041054,0.00046522482,0.00050297007],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.005175306,0.00019112715,0.0007594721,0.0003004564,0.0019909847,0.00020708978,0.0010050312,0.00015057261,0.00014492794],"category_scores_gemma":[0.00016095024,0.00016612215,0.00079490547,0.00036211606,0.00028616728,0.001635459,0.0000064804176,0.0003217705,6.338646e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048640184,0.0002253443,0.9907528,0.00015823005,0.00019306353,0.000008369546,0.0026527378,0.00012911083,0.00004098196,0.00021254412,0.00029579413,0.004844602],"study_design_scores_gemma":[0.0016861566,0.00015296962,0.9890113,0.00007731278,0.0005228263,3.8867924e-7,0.0003900807,0.00048335482,0.0001221848,0.0007704363,0.0066091665,0.00017385595],"about_ca_topic_score_codex":0.005392251,"about_ca_topic_score_gemma":0.027496798,"teacher_disagreement_score":0.02823695,"about_ca_system_score_codex":0.00036263798,"about_ca_system_score_gemma":0.0024170368,"threshold_uncertainty_score":0.9993083},"labels":[],"label_agreement":null},{"id":"W2783727969","doi":"10.1016/j.jth.2017.11.035","title":"Culture, Identity, and Walkability: Determining Patterns of Walking Behavior in a High-risk Population ( breakout presentation )","year":2017,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Walkability; Built environment; Population; Neighbourhood (mathematics); Health equity; Psychology; Gerontology; Social psychology; Medicine; Environmental health; Public health; Nursing; Engineering","score_opus":0.04227631516725285,"score_gpt":0.38771378306839355,"score_spread":0.3454374679011407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2783727969","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983704,0.0001711014,0.00052788045,0.00030477205,0.00028997438,0.00026443347,0.000029285835,0.000006580905,0.000035564095],"genre_scores_gemma":[0.99873936,0.0005463846,0.00052286696,0.000019825295,0.0001352497,0.0000026635287,0.0000088760335,0.000007283185,0.000017478967],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980314,0.00014962822,0.0009155502,0.00016253295,0.0005192578,0.00022166659],"domain_scores_gemma":[0.9980084,0.0000357278,0.0015016338,0.00017536068,0.00012794056,0.00015095717],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022601865,0.0000955236,0.0003888717,0.000121051475,0.00047048842,0.00006722411,0.00028243448,0.00008890763,0.000022167284],"category_scores_gemma":[0.000058522466,0.0000862272,0.000106916414,0.0000749178,0.00010537178,0.001674824,0.000008461207,0.0002633757,1.0650791e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004257867,0.000113452894,0.9629923,0.00011521799,0.0000074640843,0.000014928987,0.009720149,0.0000029703197,0.000022063323,0.00006453397,9.682809e-7,0.02690336],"study_design_scores_gemma":[0.00062429946,0.00011033832,0.9966076,0.00018847035,0.000059065474,0.0000017740937,0.0009808098,0.000005190627,0.00002337121,0.001306183,0.000020085485,0.000072801435],"about_ca_topic_score_codex":0.09591627,"about_ca_topic_score_gemma":0.18736818,"teacher_disagreement_score":0.09145191,"about_ca_system_score_codex":0.00011463105,"about_ca_system_score_gemma":0.00019492346,"threshold_uncertainty_score":0.9101041},"labels":[],"label_agreement":null},{"id":"W2783742179","doi":"10.1016/j.jth.2017.11.085","title":"Streets are for People! A Breakout Session Connecting Grassroots and Government—Learning from the Past while Creating Momentum for a New Walkable City ( breakout presentation )","year":2017,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kensington Health","funders":"","keywords":"Grassroots; Pedestrian; Government (linguistics); Session (web analytics); General partnership; Sociology; Creativity; Public relations; Political science; Engineering; Advertising; Business; Civil engineering; Law","score_opus":0.04827212612074418,"score_gpt":0.3424883528489903,"score_spread":0.29421622672824616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2783742179","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9759673,0.0004168312,0.012104938,0.009944346,0.00036087653,0.0008071251,0.00012272068,0.000019653582,0.00025619272],"genre_scores_gemma":[0.9969896,0.00018066746,0.001340755,0.0001124232,0.0010219712,0.000012314995,0.000021689963,0.00001907575,0.0003014767],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978985,0.0001035372,0.0006954672,0.00026544582,0.0006138188,0.0004232083],"domain_scores_gemma":[0.9968328,0.00055821677,0.0019306041,0.00018453418,0.00018106833,0.00031279877],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002025728,0.00015930856,0.00046312908,0.000023837716,0.0035233528,0.00023542499,0.000374116,0.0000931996,0.000040427265],"category_scores_gemma":[0.00027207058,0.0001196692,0.00019644336,0.00006357211,0.00007560706,0.00084445305,0.000012921724,0.0002973685,1.3148635e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027455998,0.00006183831,0.9727944,0.00011134118,0.000043321797,0.0000018057683,0.015666105,0.000034491102,0.00005363915,0.00003724002,0.0003467097,0.010574536],"study_design_scores_gemma":[0.0017108906,0.00018192599,0.9775704,0.00045002787,0.000103368926,0.0000011535639,0.014022113,0.00015883097,0.000037192982,0.0008179564,0.004821147,0.00012497013],"about_ca_topic_score_codex":0.028026808,"about_ca_topic_score_gemma":0.09560067,"teacher_disagreement_score":0.06757387,"about_ca_system_score_codex":0.00019424625,"about_ca_system_score_gemma":0.00044410513,"threshold_uncertainty_score":0.99777395},"labels":[],"label_agreement":null},{"id":"W2783940297","doi":"10.1016/j.jth.2017.11.052","title":"The Associations between Neighbourhood Built Characteristics and Physical Activity among Adults: A Systematic Review of Canadian Evidence ( breakout presentation )","year":2017,"lang":"en","type":"review","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"","keywords":"CINAHL; Walkability; Built environment; Neighbourhood (mathematics); MEDLINE; Gerontology; Audit; Data extraction; Medicine; Physical activity; Psychological intervention; Environmental health; Demography; Psychology; Accounting; Physical therapy; Engineering; Political science; Nursing; Business","score_opus":0.13088646238936094,"score_gpt":0.43576278282965586,"score_spread":0.3048763204402949,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2783940297","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00407085,0.9913206,0.000017276765,0.0015546917,0.00022210335,0.0021476627,0.00056555396,0.000006979668,0.00009429597],"genre_scores_gemma":[0.10947095,0.8899465,0.0000111902245,0.00002616468,0.00043337652,0.000020052586,0.000033671822,0.000017124636,0.00004094453],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.99556625,0.00095017656,0.0019344185,0.00022786381,0.0008978933,0.00042341897],"domain_scores_gemma":[0.9899601,0.0010679106,0.007450663,0.0004172951,0.0005296865,0.00057439075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005611567,0.00026925482,0.003434597,0.00021550962,0.001054321,0.00009387839,0.00085071765,0.00019063777,0.000007514898],"category_scores_gemma":[0.0011324722,0.00017569892,0.000733019,0.00040166063,0.0003185894,0.0006721398,0.000007708531,0.00074646354,8.5136253e-7],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005928367,0.00006997431,0.0479077,0.82561547,0.00027680988,0.000009324992,0.0024490452,1.0523759e-8,5.2776e-9,0.000036227444,0.000052417512,0.12357711],"study_design_scores_gemma":[0.00007610201,0.000063688036,0.33946294,0.64759517,0.0024841253,0.000001466933,0.000077041615,3.2752297e-7,2.715523e-8,0.00002173775,0.0100698145,0.00014756333],"about_ca_topic_score_codex":0.16361357,"about_ca_topic_score_gemma":0.26544997,"teacher_disagreement_score":0.29155523,"about_ca_system_score_codex":0.0005542287,"about_ca_system_score_gemma":0.007289661,"threshold_uncertainty_score":0.9983381},"labels":[],"label_agreement":null},{"id":"W2783970653","doi":"10.1016/j.jth.2017.11.066","title":"Vibrant Pedestrian Retail in Edmonton: Challenges and Opportunities ( breakout presentation )","year":2017,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Competition (biology); Pedestrian; Business; Urban planning; Marketing; Transport engineering; Civil engineering; Engineering","score_opus":0.18013982312085666,"score_gpt":0.380572913844807,"score_spread":0.20043309072395035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2783970653","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93327403,0.01116625,0.000040982635,0.047360774,0.00031890086,0.00021276933,0.0000094742245,0.000012145551,0.0076046614],"genre_scores_gemma":[0.95128536,0.04791724,0.00012721456,0.00013017199,0.00025018796,0.0000017941122,0.0000026790874,0.000008244804,0.00027709108],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982299,0.00013874598,0.0007035296,0.00015899682,0.00046212066,0.00030669625],"domain_scores_gemma":[0.99854386,0.00004634235,0.0007797149,0.00019824972,0.0001085683,0.00032328823],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025296304,0.00011146976,0.00040374903,0.00011705582,0.0005554386,0.00006821859,0.0003470938,0.00009186673,0.00006144809],"category_scores_gemma":[0.000033351982,0.00009831421,0.00009506135,0.00003096022,0.0003115677,0.0012024607,0.0000050989483,0.00026766135,3.8873216e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025447772,0.00021371688,0.73402596,0.00034099107,0.000028554123,0.00022789341,0.051168747,0.0000021046305,0.000012284334,0.0021808129,0.00006363048,0.21148084],"study_design_scores_gemma":[0.00073596166,0.00012612232,0.97956663,0.00018553769,0.000017518336,0.000004274517,0.0057699685,0.0000024522794,0.0000054144457,0.0013556354,0.01213745,0.00009302383],"about_ca_topic_score_codex":0.007493508,"about_ca_topic_score_gemma":0.08167607,"teacher_disagreement_score":0.2455407,"about_ca_system_score_codex":0.000078575955,"about_ca_system_score_gemma":0.0009244467,"threshold_uncertainty_score":0.9991157},"labels":[],"label_agreement":null},{"id":"W2784009566","doi":"10.1016/j.jth.2017.11.027","title":"The Spatial Equity of Calgary’s Urban Form: Walkability and Transit Access in Newcomer Destination Communities ( poster )","year":2017,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Walkability; Ethnic group; Immigration; Geography; Proxy (statistics); Equity (law); Population; Demographic economics; Demography; Built environment; Socioeconomics; Sociology; Political science; Statistics; Economics","score_opus":0.08694958281292785,"score_gpt":0.40578674209776944,"score_spread":0.3188371592848416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2784009566","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9898301,0.00044935578,0.0007541072,0.007025287,0.00027670778,0.0003207684,0.000012799247,0.0000063194434,0.0013245806],"genre_scores_gemma":[0.998999,0.0006430317,0.00009725081,0.00011846925,0.00009646735,0.0000022644238,0.0000035822186,0.0000072057323,0.000032733922],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977613,0.00024904957,0.000989011,0.000107111555,0.0005500924,0.00034343204],"domain_scores_gemma":[0.9981217,0.00017541373,0.00093205104,0.00032270307,0.0002567701,0.0001913822],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.004984923,0.00012005199,0.00042961194,0.00007775878,0.0013138279,0.00012473566,0.00094922143,0.00009100816,0.000038871403],"category_scores_gemma":[0.000057959023,0.00008576237,0.00013281447,0.00008723063,0.0008722618,0.0012118175,0.00002300872,0.00043281238,1.2716731e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023594986,0.00012378233,0.94955975,0.00013035718,0.000011771887,0.000004381119,0.018743088,0.0000016609577,0.000005773714,0.00023839237,0.00001464204,0.030930426],"study_design_scores_gemma":[0.0006921538,0.00014232117,0.9946523,0.00013248558,0.000022929758,0.0000013800895,0.0010875239,0.00001582993,0.00003404571,0.0024625286,0.0006770611,0.00007946211],"about_ca_topic_score_codex":0.12113715,"about_ca_topic_score_gemma":0.45486727,"teacher_disagreement_score":0.33373013,"about_ca_system_score_codex":0.00014396972,"about_ca_system_score_gemma":0.00082365016,"threshold_uncertainty_score":0.99998635},"labels":[],"label_agreement":null},{"id":"W2784173176","doi":"10.1016/j.sste.2017.12.003","title":"Integrating activity spaces in health research: Comparing the VERITAS activity space questionnaire with 7-day GPS tracking and prompted recall","year":2018,"lang":"en","type":"article","venue":"Spatial and Spatio-temporal Epidemiology","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":84,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; McGill University; Centre Hospitalier de l’Université de Montréal","funders":"Canadian Institutes of Health Research","keywords":"Global Positioning System; Recreation; Tracking (education); Destinations; Sample (material); Assisted GPS; Geography; Recall; Computer science; Psychology; Tourism; Telecommunications; Biology; Ecology; Archaeology","score_opus":0.18407248034699458,"score_gpt":0.418988469921052,"score_spread":0.2349159895740574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2784173176","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96825695,0.00034836918,0.005338865,0.024690416,0.0001437191,0.0006730057,0.0000044848603,0.00006251629,0.00048168356],"genre_scores_gemma":[0.99857974,0.00009011574,0.0007204095,0.00013726023,0.0003713767,0.00003399581,0.000008676152,0.000011867864,0.000046581914],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9926723,0.0053139776,0.00042663026,0.00060810894,0.0002701657,0.0007088025],"domain_scores_gemma":[0.99739295,0.00163062,0.0003546735,0.0002202724,0.00019296477,0.00020852074],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.014563122,0.00020271193,0.0006000525,0.000116354044,0.0014978161,0.000086965265,0.00020652977,0.00018437795,0.000021670141],"category_scores_gemma":[0.002517457,0.00013433969,0.000036005233,0.00044704854,0.002596058,0.0004689874,0.000077644516,0.0007799234,0.0000017743484],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026128915,0.000060914186,0.9557592,0.000049558264,0.000010775625,0.000002859602,0.009212536,0.000005365071,0.00003049337,0.0024378959,0.00005533479,0.032113735],"study_design_scores_gemma":[0.0003347445,0.00038908713,0.9853396,0.00024100448,0.000005504723,0.0000011939919,0.0012787184,0.0059061083,0.000050753446,0.00470881,0.0015748538,0.00016962115],"about_ca_topic_score_codex":0.3388945,"about_ca_topic_score_gemma":0.73762393,"teacher_disagreement_score":0.39872944,"about_ca_system_score_codex":0.0001405703,"about_ca_system_score_gemma":0.00036157898,"threshold_uncertainty_score":0.9998021},"labels":[],"label_agreement":null},{"id":"W2784181785","doi":"10.1016/j.jth.2017.11.039","title":"Granville Island 2040: More Walkable and Even More Vibrant ( breakout presentation )","year":2017,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canada Mortgage and Housing Corporation","funders":"","keywords":"Pedestrian; Walkability; TRIPS architecture; Transport engineering; Plan (archaeology); Presentation (obstetrics); Environmental planning; Geography; Business; Built environment; Engineering; Civil engineering","score_opus":0.02786267285952242,"score_gpt":0.36237106329873525,"score_spread":0.3345083904392128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2784181785","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97471625,0.0012526601,0.000559582,0.02096882,0.000441738,0.00029166788,0.000047919908,0.000015654816,0.0017057186],"genre_scores_gemma":[0.99698466,0.0012554851,0.000395331,0.00028630623,0.00041320565,0.0000020390135,0.000009700324,0.0000131798615,0.0006400884],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980525,0.00007076719,0.0006602697,0.00019956156,0.00063383696,0.0003830746],"domain_scores_gemma":[0.99834096,0.000036888858,0.00080479257,0.00025627084,0.00016516929,0.0003958852],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0014381575,0.00013792333,0.00043014315,0.00008144436,0.0013460122,0.000103786355,0.00041897674,0.00010036355,0.0001537182],"category_scores_gemma":[0.000030488496,0.00011247548,0.00015432741,0.000076830605,0.00038576438,0.0011023207,0.000006970826,0.0002907835,0.0000014611211],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012676441,0.00010965008,0.97662103,0.00012029071,0.000032541848,0.000046508547,0.01667434,0.000013507872,0.000028514969,0.000108941655,0.00078919315,0.0053287228],"study_design_scores_gemma":[0.000930494,0.00009876459,0.98559994,0.00012554221,0.0000445154,0.0000067261894,0.001755496,0.000012605738,0.000031859585,0.0006371764,0.010639219,0.00011768776],"about_ca_topic_score_codex":0.01400805,"about_ca_topic_score_gemma":0.021149883,"teacher_disagreement_score":0.022268428,"about_ca_system_score_codex":0.00007442611,"about_ca_system_score_gemma":0.00067756476,"threshold_uncertainty_score":0.9999541},"labels":[],"label_agreement":null},{"id":"W2784208232","doi":"10.1016/j.jth.2017.11.126","title":"Leveraging Transit Investments to Enhance Walkability and Bikeability Along the Green Line in Calgary ( breakout presentation )","year":2017,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Walkability; Built environment; Redevelopment; Neighbourhood (mathematics); Context (archaeology); Environmental planning; Business; Green infrastructure; Transport engineering; Geography; Civil engineering; Engineering","score_opus":0.04316615732760517,"score_gpt":0.38230726204111387,"score_spread":0.3391411047135087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2784208232","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96404785,0.00040500239,0.0011114196,0.03330821,0.0002453794,0.0005987917,0.000009773641,0.000010451566,0.00026313806],"genre_scores_gemma":[0.99820614,0.00021739022,0.0004923478,0.0007998926,0.00018122215,0.000005818168,0.0000027763747,0.000008412112,0.00008601647],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975183,0.00028396017,0.0009518552,0.00028471355,0.00057601626,0.00038515232],"domain_scores_gemma":[0.99847025,0.00010501958,0.0005278025,0.00037159052,0.00014843419,0.0003769297],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00511582,0.00014060872,0.00041155986,0.000080241916,0.0009132215,0.000069080415,0.0005499877,0.00007768647,0.0000365485],"category_scores_gemma":[0.000096056385,0.00010444975,0.000118048054,0.00015777032,0.00038698275,0.0008099691,0.000010467558,0.00042045256,7.111093e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014742976,0.00014430258,0.9413524,0.000105333675,0.000012113216,0.000014613995,0.029640801,0.000017808517,0.00003928068,0.000028017042,0.000012285022,0.028485602],"study_design_scores_gemma":[0.00039443787,0.000090947906,0.9960735,0.000120282726,0.000019139092,0.0000014696199,0.0007386456,0.000017072463,0.00010656947,0.0015012543,0.0008410693,0.00009564959],"about_ca_topic_score_codex":0.10107297,"about_ca_topic_score_gemma":0.18366441,"teacher_disagreement_score":0.082591444,"about_ca_system_score_codex":0.000217621,"about_ca_system_score_gemma":0.0007380152,"threshold_uncertainty_score":0.90491307},"labels":[],"label_agreement":null},{"id":"W2784213105","doi":"10.1016/j.jth.2017.11.101","title":"Measuring Pedestrians Perceptions of Walkability ( breakout presentation )","year":2017,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Stantec (Canada); University of Toronto","funders":"","keywords":"Walkability; Respondent; Preference; Travel behavior; Transport engineering; Set (abstract data type); Recreation; Perspective (graphical); Choice set; Pedestrian; Business; Marketing; Computer science; Built environment; Engineering; Economics","score_opus":0.08807630133681815,"score_gpt":0.38834943541676453,"score_spread":0.3002731340799464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2784213105","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98980284,0.00015089625,0.0014944316,0.0052234856,0.0004409292,0.00023185817,0.000027678821,0.000013240743,0.0026146232],"genre_scores_gemma":[0.9984688,0.00030770982,0.00068402477,0.000038159018,0.00033973646,0.0000013678504,0.0000035113296,0.000007864899,0.00014879763],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977844,0.00014560294,0.00094146695,0.00014837297,0.0006996221,0.00028057068],"domain_scores_gemma":[0.99771786,0.00005136453,0.0012373178,0.00032924552,0.00037471612,0.00028948448],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029302095,0.00009697368,0.00040745488,0.000083015846,0.0010273325,0.000041161584,0.00054483634,0.00008218785,0.0002253484],"category_scores_gemma":[0.000111922825,0.00008662062,0.0002856199,0.00008682143,0.0004060299,0.0008650411,0.000004566918,0.00027320575,0.0000015343792],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007144248,0.00020454694,0.98248976,0.000106992506,0.000019210207,0.000005009687,0.010897224,0.000015097939,0.00011245199,0.000134628,0.000051285657,0.005892335],"study_design_scores_gemma":[0.0004489271,0.000093374176,0.9953912,0.000098392826,0.000040745414,0.0000014090747,0.0021163172,0.0000024631076,0.00005625066,0.0008177505,0.00086337264,0.00006979985],"about_ca_topic_score_codex":0.014982021,"about_ca_topic_score_gemma":0.024751717,"teacher_disagreement_score":0.012901422,"about_ca_system_score_codex":0.00016156211,"about_ca_system_score_gemma":0.0013744727,"threshold_uncertainty_score":0.993044},"labels":[],"label_agreement":null},{"id":"W2784294035","doi":"10.1016/j.jth.2017.11.094","title":"Collaborative School Travel Solutions During Community Transitions ( breakout presentation )","year":2017,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Regional Municipality of Waterloo","funders":"","keywords":"Pedestrian; Transport engineering; Work (physics); Subdivision; Guard (computer science); Presentation (obstetrics); Engineering; Business; Computer science; Civil engineering","score_opus":0.053013802588589974,"score_gpt":0.38034873563559124,"score_spread":0.3273349330470013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2784294035","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9753119,0.00032799647,0.0023908312,0.015710352,0.00043664098,0.0003915395,0.00016012746,0.000025647247,0.0052450085],"genre_scores_gemma":[0.9982153,0.00044671266,0.0005354244,0.00013440817,0.00035238522,0.000005330065,0.000016146498,0.000011715289,0.00028255014],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976238,0.00044669895,0.00080888084,0.00012508983,0.00056728756,0.00042825346],"domain_scores_gemma":[0.9976174,0.000056276534,0.0009299123,0.0003567421,0.00051124895,0.00052837393],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0024692256,0.00013304989,0.00040168554,0.00012417135,0.007079578,0.00011789795,0.00063493685,0.00010322783,0.00020251995],"category_scores_gemma":[0.00008667833,0.00012825386,0.00021989174,0.00019336968,0.00049740815,0.0015227229,0.0000053301046,0.00080403854,0.0000038929315],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047645424,0.0014236808,0.8582245,0.00031932406,0.00019205097,0.00006390957,0.13266847,0.00011435325,0.00094567053,0.0022807252,0.00070887164,0.0025819866],"study_design_scores_gemma":[0.00092030864,0.00009955471,0.98356134,0.00013431296,0.00005634899,0.000003642455,0.013172367,0.0000026530142,0.000087436274,0.0010549882,0.00079293,0.000114140305],"about_ca_topic_score_codex":0.012231696,"about_ca_topic_score_gemma":0.0689213,"teacher_disagreement_score":0.12533681,"about_ca_system_score_codex":0.00027997117,"about_ca_system_score_gemma":0.0023279453,"threshold_uncertainty_score":0.99434596},"labels":[],"label_agreement":null},{"id":"W2784302506","doi":"10.1016/j.jth.2017.11.083","title":"The Six E’s of Active School Travel: How Active and Safe Routes to School (ASRTS) Programs Across Canada Increase the Number of Children Walking to School Every Day ( breakout presentation )","year":2017,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Equity (law); SAFER; General partnership; Traffic calming; Business; Medicine; Environmental health; Psychology; Transport engineering; Political science; Engineering; Finance","score_opus":0.01644382783160877,"score_gpt":0.33537697576551223,"score_spread":0.3189331479339035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2784302506","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9838788,0.00013846414,0.00011067911,0.013829961,0.00026809628,0.0012443495,0.00021247657,0.000006769795,0.00031043036],"genre_scores_gemma":[0.99862844,0.00019235237,0.00020814377,0.0003058782,0.0003984881,0.000016466,0.000009896053,0.00001841975,0.00022194005],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99680114,0.0003067775,0.0008560177,0.00028729448,0.0011655902,0.0005831662],"domain_scores_gemma":[0.9962605,0.00022891368,0.0014760194,0.0004416705,0.00058636727,0.0010065244],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0026327635,0.00021880906,0.0005763336,0.0000393077,0.0023237467,0.00017594035,0.0009836645,0.000097188284,0.000054466047],"category_scores_gemma":[0.0005739831,0.00014047645,0.00017993047,0.00024558665,0.00038190765,0.0011188547,0.0000357771,0.0005810518,7.703885e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006941786,0.00011147546,0.95139724,0.000044016208,0.00015006498,0.0000065906556,0.013665142,0.000008505205,0.00006164355,0.000026168158,0.00030322978,0.033531733],"study_design_scores_gemma":[0.0006326935,0.00012381982,0.98639315,0.00023098252,0.00007049816,0.000004635063,0.010900535,0.000001087482,0.0004503708,0.00011588753,0.00093658967,0.00013976693],"about_ca_topic_score_codex":0.7429235,"about_ca_topic_score_gemma":0.8702783,"teacher_disagreement_score":0.12735483,"about_ca_system_score_codex":0.0004387385,"about_ca_system_score_gemma":0.004387309,"threshold_uncertainty_score":0.9989751},"labels":[],"label_agreement":null},{"id":"W2784778852","doi":"10.1186/s12966-017-0634-4","title":"Objectively measured active transportation to school and other destinations among 10–13 year olds","year":2018,"lang":"en","type":"article","venue":"International Journal of Behavioral Nutrition and Physical Activity","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Queen's University","funders":"Heart and Stroke Foundation of Canada","keywords":"Destinations; TRIPS architecture; Descriptive statistics; Transport engineering; Poison control; Demography; Medicine; Travel behavior; Names of the days of the week; Geography; Psychology; Environmental health; Tourism; Engineering; Statistics; Mathematics; Sociology","score_opus":0.043090836476571456,"score_gpt":0.3698407281270361,"score_spread":0.32674989165046464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2784778852","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981697,0.000005103022,0.00038818616,0.00056883635,0.0001604973,0.00015564825,0.000087966684,0.000014048317,0.00044998943],"genre_scores_gemma":[0.998899,0.000005226187,0.00022312738,0.000043466072,0.0007200477,0.000007680269,0.0000033645708,0.0000060746083,0.00009203195],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990835,0.000078111065,0.00014067229,0.00014214427,0.00045072482,0.00010485383],"domain_scores_gemma":[0.9988693,0.000048405895,0.00015181128,0.000037591035,0.0007004016,0.00019249864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017498845,0.00008317089,0.00013971292,0.00010417842,0.00016595074,0.00008939335,0.00011901452,0.000054703352,0.00014582879],"category_scores_gemma":[0.000039930947,0.00007861987,0.000072042916,0.00013715563,0.0002888276,0.0007866668,0.000006473442,0.00014834855,0.0000046734317],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019094453,0.00500524,0.88652706,0.000016855965,0.000117815696,0.000019662762,0.017295245,0.0000020253685,0.025008375,0.0013011257,0.0006278025,0.06216935],"study_design_scores_gemma":[0.0007145129,0.00020380528,0.99023515,0.000060416725,0.000043694985,8.623587e-7,0.000733203,0.0000095437745,0.0046443418,0.0019014061,0.0013521435,0.00010092039],"about_ca_topic_score_codex":0.0011852921,"about_ca_topic_score_gemma":0.0023802668,"teacher_disagreement_score":0.103708096,"about_ca_system_score_codex":0.00008243231,"about_ca_system_score_gemma":0.00006468208,"threshold_uncertainty_score":0.32060254},"labels":[],"label_agreement":null},{"id":"W2785100669","doi":"10.17269/cjph.108.6068","title":"Active living in Saskatchewan: A review of official community plans","year":2017,"lang":"en","type":"review","venue":"Canadian Journal of Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of British Columbia; Blackberry (Canada); University of Regina","funders":"","keywords":"Neighbourhood (mathematics); Context (archaeology); Plan (archaeology); Environmental planning; Active living; Geography; Physical activity; Political science; Downtown; Pedestrian; Environmental resource management; Business; Medicine","score_opus":0.2779426136739071,"score_gpt":0.44463321638352976,"score_spread":0.16669060270962266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2785100669","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00018530124,0.99384594,0.000010325995,0.0016795717,0.0004959085,0.0005298238,0.00026033822,0.0000034681398,0.0029893261],"genre_scores_gemma":[0.0030403854,0.9960556,0.000026088523,0.00033305836,0.00036802553,0.0000042357087,0.000022237655,0.000017354081,0.00013303626],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9929863,0.003980145,0.001713747,0.00014281007,0.0004038718,0.0007730979],"domain_scores_gemma":[0.9935834,0.0005927358,0.0031288315,0.00046705097,0.00039417745,0.0018338328],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.019091649,0.00021904813,0.0024534587,0.00059749157,0.0008390857,0.00010204726,0.0017289077,0.00027602777,0.00035528297],"category_scores_gemma":[0.004090944,0.00019348845,0.00050518656,0.0005368986,0.0005006665,0.0004685547,0.000019222687,0.0019055305,0.000002542652],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[4.362299e-7,0.00004204379,0.0023099647,0.03231624,0.000037847025,0.000019637357,0.012867177,8.706254e-9,2.8429079e-10,0.00006207655,0.00096787023,0.9513767],"study_design_scores_gemma":[0.00004668062,0.000042396117,0.003762908,0.12619139,0.000047677615,0.0000045419247,0.004336543,1.9496918e-8,1.6543945e-9,0.000028823719,0.865418,0.000121016004],"about_ca_topic_score_codex":0.55358773,"about_ca_topic_score_gemma":0.9860677,"teacher_disagreement_score":0.9512557,"about_ca_system_score_codex":0.0020311796,"about_ca_system_score_gemma":0.15221433,"threshold_uncertainty_score":0.8525918},"labels":[],"label_agreement":null},{"id":"W2785479126","doi":"10.1155/2018/5274789","title":"A Model for the Evaluation of Brazilian Road Transport: A Sustainable Perspective","year":2018,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Sustainability; Investment (military); Sustainable transport; Road transport; Mode (computer interface); Perspective (graphical); Environmental economics; Mode of transport; Mode choice; Transport engineering; Business; Computer science; Economics; Engineering; Public transport; Political science","score_opus":0.037571758144404374,"score_gpt":0.374637812080076,"score_spread":0.33706605393567163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2785479126","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9487462,0.00051802985,0.048222464,0.00079929474,0.00022777623,0.00079579785,0.000022228916,0.0000107898695,0.00065741315],"genre_scores_gemma":[0.9972331,0.000056276866,0.0021667026,0.000030157164,0.0002504365,0.000021366948,0.0000064342603,0.000010423527,0.00022509121],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9981924,0.000058457637,0.0005664553,0.00014217089,0.00081510964,0.00022538376],"domain_scores_gemma":[0.99439615,0.000088613815,0.0005759218,0.00012090304,0.0047504473,0.00006796781],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024767877,0.00009635373,0.00021120993,0.00009441235,0.00036968454,0.000012954271,0.00023710074,0.000069249596,0.00006585745],"category_scores_gemma":[0.00015393576,0.000072341056,0.00022832317,0.00033947724,0.00032733654,0.0009216666,5.2842097e-7,0.00011333324,2.642482e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0042266436,0.00076761254,0.054507397,0.00021757172,0.0003875589,0.0000078504445,0.62928826,0.19340315,0.0033323138,0.06013964,0.00014915239,0.053572856],"study_design_scores_gemma":[0.0031674176,0.00040192378,0.7986029,0.00007710139,0.00094706955,3.5645476e-7,0.1118889,0.009075084,0.00104212,0.07374053,0.0008604045,0.00019621049],"about_ca_topic_score_codex":0.0005604666,"about_ca_topic_score_gemma":0.012020353,"teacher_disagreement_score":0.7440955,"about_ca_system_score_codex":0.00018683984,"about_ca_system_score_gemma":0.0008637074,"threshold_uncertainty_score":0.6707639},"labels":[],"label_agreement":null},{"id":"W2785680187","doi":"10.5198/jtlu.2018.1115","title":"If we build it, who will benefit? A multi-criteria approach for the prioritization of new bicycle lanes in Quebec City, Canada","year":2018,"lang":"en","type":"article","venue":"Journal of Transport and Land Use","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Equity (law); Transport engineering; Social equality; Business; Transportation planning; Prioritization; Process (computing); Cycling; Investment (military); Environmental planning; Environmental economics; Computer science; Engineering; Process management; Economics; Geography","score_opus":0.036807602318376674,"score_gpt":0.299309568745803,"score_spread":0.26250196642742635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2785680187","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944231,0.00042595033,0.0032776,0.0014221262,0.00016270006,0.00019257331,0.000036278663,0.0000032390753,0.000056428904],"genre_scores_gemma":[0.9974986,0.00028568023,0.00087861205,0.000074353295,0.00038097176,0.0000012177788,0.0000068336262,0.000005543789,0.00086822093],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991282,0.000018448205,0.00037825308,0.000099348246,0.00022002184,0.00015569315],"domain_scores_gemma":[0.9994486,0.00007036655,0.0001722698,0.00007386688,0.00013909035,0.00009582971],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041366258,0.00008072056,0.00022582052,0.00004739957,0.00014379453,0.000037960068,0.00016838143,0.00006359516,0.00003617662],"category_scores_gemma":[0.000019793953,0.00005217204,0.000064382926,0.00014987144,0.00011827348,0.00042193301,0.0000028823008,0.00008829179,1.603986e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013817854,0.00006143132,0.9909258,0.000040643656,0.000020418114,0.0000034964003,0.006840731,0.000018518887,0.000022324943,0.00004714057,0.00043657862,0.0014447245],"study_design_scores_gemma":[0.0009592139,0.00004510097,0.9684913,0.00007990367,0.000061262275,7.699609e-7,0.000938668,0.0002119446,0.000054035325,0.00016083874,0.028912133,0.00008479132],"about_ca_topic_score_codex":0.84656626,"about_ca_topic_score_gemma":0.98963237,"teacher_disagreement_score":0.14306611,"about_ca_system_score_codex":0.00003008976,"about_ca_system_score_gemma":0.00046486047,"threshold_uncertainty_score":0.2127514},"labels":[],"label_agreement":null},{"id":"W2786875815","doi":"10.5198/jtlu.2018.1059","title":"How much is enough? Assessing the influence of neighborhood walkability on undertaking 10-minute walks","year":2018,"lang":"en","type":"article","venue":"Journal of Transport and Land Use","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Walkability; Built environment; Multilevel model; Logistic regression; Level design; Transport engineering; Environmental health; Psychology; Applied psychology; Business; Medicine; Computer science; Engineering; Civil engineering","score_opus":0.03902958243092688,"score_gpt":0.31557709443229326,"score_spread":0.2765475120013664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2786875815","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995692,0.00012609594,0.00012154889,0.0028579887,0.00014405597,0.000102902035,0.000010384213,0.000008908372,0.0009360988],"genre_scores_gemma":[0.99905425,0.00008487466,0.00011079749,0.0001955333,0.00030396332,5.893573e-7,0.0000010894106,0.0000073135184,0.0002415933],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985794,0.00008358008,0.00043371052,0.00016852604,0.00049815763,0.00023665413],"domain_scores_gemma":[0.99870664,0.00020820276,0.00040781716,0.00018873706,0.00036338522,0.00012523566],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010530548,0.00013050098,0.0002987269,0.000059949583,0.00042576907,0.00015689082,0.00028908183,0.00011044262,0.00011472494],"category_scores_gemma":[0.00008189192,0.00007762149,0.00015175443,0.00022012791,0.00054293004,0.0010786739,0.0000055336623,0.00025268376,4.9870283e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000991183,0.00009987154,0.99015033,0.000029130104,0.000040945495,0.000010543026,0.0075585437,0.000003256227,0.0002184194,0.0002355607,0.000051097213,0.0015031924],"study_design_scores_gemma":[0.00039677523,0.00015360727,0.98788345,0.0001201394,0.000097988115,0.0000017560278,0.0011720215,0.000007352502,0.00044539347,0.0014804571,0.008134833,0.0001062558],"about_ca_topic_score_codex":0.00069333066,"about_ca_topic_score_gemma":0.0016662596,"teacher_disagreement_score":0.008083736,"about_ca_system_score_codex":0.000028931667,"about_ca_system_score_gemma":0.00023708817,"threshold_uncertainty_score":0.32747146},"labels":[],"label_agreement":null},{"id":"W2787963217","doi":"10.1186/s12889-017-5005-1","title":"Effectiveness of active school transport interventions: a systematic review and update","year":2018,"lang":"en","type":"review","venue":"BMC Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":196,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre for Addiction and Mental Health; University of British Columbia; Children's Hospital of Eastern Ontario; Vancouver Coastal Health; University of Lethbridge","funders":"Canadian Institutes of Health Research; Public Health Agency; Public Health Agency of Canada","keywords":"Psychological intervention; Medicine; Biostatistics; Blinding; Public health; Systematic review; MEDLINE; Cochrane Library; Family medicine; Meta-analysis; Randomized controlled trial; Nursing; Surgery; Pathology","score_opus":0.11132250976889667,"score_gpt":0.4410866652522481,"score_spread":0.3297641554833514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2787963217","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000014999192,0.990875,0.00048218752,0.00012906958,0.00015932156,0.0076665217,0.00020053827,0.00006521112,0.00040714254],"genre_scores_gemma":[0.00023028116,0.9985231,0.00009204775,0.00006970483,0.00006550515,0.0006755094,0.00016938259,0.000026193406,0.0001482514],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9917671,0.004899419,0.0018536343,0.0005636585,0.00042287345,0.0004933092],"domain_scores_gemma":[0.9966518,0.00049256894,0.0015103592,0.00054362096,0.00027829144,0.00052335934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014269327,0.0003230804,0.0040419367,0.00021546186,0.00029689516,0.00005215938,0.000603064,0.00023530495,0.00022434526],"category_scores_gemma":[0.0011509743,0.00024260666,0.0008987776,0.00094296486,0.00039901942,0.00046211135,0.000029810653,0.0003166072,0.00003229276],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000017872192,0.000097719705,0.00022118968,0.9896659,0.00012435358,4.6059688e-7,0.0001646705,4.1301937e-10,4.550043e-10,0.0006528539,0.000054666474,0.009016401],"study_design_scores_gemma":[0.00011829576,0.0000557493,0.00094329123,0.88186866,0.0014801332,0.0000013249437,0.000101628655,3.7299476e-8,1.024136e-8,0.00011103591,0.11509954,0.000220278],"about_ca_topic_score_codex":0.0011363034,"about_ca_topic_score_gemma":0.001827869,"teacher_disagreement_score":0.11504488,"about_ca_system_score_codex":0.0004840865,"about_ca_system_score_gemma":0.0057551623,"threshold_uncertainty_score":0.99988127},"labels":[],"label_agreement":null},{"id":"W2788333288","doi":"10.1186/s12966-018-0650-z","title":"Development and reliability of a streetscape observation instrument for international use: MAPS-global","year":2018,"lang":"en","type":"article","venue":"International Journal of Behavioral Nutrition and Physical Activity","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":83,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Heart, Lung, and Blood Institute; National Health and Medical Research Council; Wellcome Trust; Australian Research Council; Medical Research Council; National Institutes of Health; National Heart Foundation of Australia","keywords":"Walkability; Residence; Intraclass correlation; Reliability (semiconductor); Observational study; Built environment; Scale (ratio); Geography; Pedestrian; Psychology; Applied psychology; Physical activity; Statistics; Medicine; Demography; Psychometrics; Cartography; Mathematics; Clinical psychology; Physical therapy; Engineering","score_opus":0.07394752589417962,"score_gpt":0.3782509902853622,"score_spread":0.30430346439118255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2788333288","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99734414,0.0000061760943,0.0007595585,0.0009832849,0.00057331,0.00015733547,0.000121171404,0.000006729992,0.000048273643],"genre_scores_gemma":[0.99378824,0.00001852565,0.005597582,0.000022750028,0.0005312032,0.0000067381743,0.000016799506,0.0000027092326,0.000015441476],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990145,0.000041940897,0.00025715114,0.00013486712,0.00046055013,0.00009100647],"domain_scores_gemma":[0.99835736,0.00006582035,0.0002926548,0.000042553555,0.0011587815,0.00008282352],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002707118,0.00007735454,0.00015547386,0.000044361506,0.00010066719,0.0000743162,0.00015501329,0.00005074988,0.000016238653],"category_scores_gemma":[0.00006482224,0.00007095444,0.0000768811,0.00006755789,0.00027804176,0.0009042399,0.000029096298,0.00007799117,2.3553943e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013498724,0.004543832,0.7878799,0.00003661302,0.00006502624,0.0000030320236,0.0032484431,7.5816166e-7,0.004123506,0.0032206255,0.00022924013,0.1952992],"study_design_scores_gemma":[0.0015239737,0.00022085095,0.9680112,0.00009842817,0.00003896032,0.0000016820819,0.00050109456,0.00009114275,0.007075162,0.005541298,0.01677643,0.00011980675],"about_ca_topic_score_codex":0.00031975147,"about_ca_topic_score_gemma":0.00030898617,"teacher_disagreement_score":0.19517939,"about_ca_system_score_codex":0.00014229787,"about_ca_system_score_gemma":0.00009329027,"threshold_uncertainty_score":0.2893438},"labels":[],"label_agreement":null},{"id":"W2788719482","doi":"10.1016/j.jtrangeo.2018.02.005","title":"A ride for whom: Has cycling network expansion reduced inequities in accessibility in Montreal, Canada?","year":2018,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":77,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Cycling; Journey to work; Recreation; Gentrification; Geography; Quarter (Canadian coin); Poison control; Census; Equity (law); Immigration; Suicide prevention; Injury prevention; Demographic economics; Transport engineering; Economic growth; Demography; Sociology; Public transport; Population; Engineering; Environmental health; Political science; Medicine; Economics","score_opus":0.02937241958391526,"score_gpt":0.29628461801610695,"score_spread":0.2669121984321917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2788719482","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963836,0.00058891845,0.00024844246,0.00095178816,0.0008501744,0.00039203744,0.000022170057,0.000014213965,0.00054863177],"genre_scores_gemma":[0.99824,0.000101490295,0.0005621637,0.00015110352,0.0008840794,0.000012626072,0.00000840486,0.000013300006,0.000026819858],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99698955,0.00011886463,0.001331852,0.00030316095,0.0005959939,0.0006606068],"domain_scores_gemma":[0.99856734,0.00017363447,0.0004967887,0.00020422184,0.000345466,0.00021254901],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028439541,0.00019453792,0.0005914181,0.00033161044,0.00044766255,0.00008022263,0.0005345138,0.00015860015,0.00008203162],"category_scores_gemma":[0.00007389521,0.00017518808,0.00031459663,0.00086605793,0.0005664338,0.00072127965,0.000007289053,0.00035066297,1.8436707e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004982119,0.00014389987,0.9921583,0.00004155745,0.000024639992,0.000042128424,0.0046735858,0.00016741492,0.00007314676,0.000011295082,0.000393539,0.0017722953],"study_design_scores_gemma":[0.0010383355,0.00010506786,0.9901673,0.00025260058,0.000043493106,5.605621e-7,0.0013115384,0.000028110302,0.00014878978,0.0041618613,0.0025510278,0.00019127002],"about_ca_topic_score_codex":0.63674325,"about_ca_topic_score_gemma":0.9920106,"teacher_disagreement_score":0.3552673,"about_ca_system_score_codex":0.00015881582,"about_ca_system_score_gemma":0.0017262325,"threshold_uncertainty_score":0.71439624},"labels":[],"label_agreement":null},{"id":"W2789187754","doi":"10.14288/1.0355546","title":"No Freeways on the Horizon : The Path to Livability","year":2017,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Path (computing); Computer science; Computer network","score_opus":0.0170796002741728,"score_gpt":0.21605228792902384,"score_spread":0.19897268765485104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2789187754","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94049174,0.000015019072,0.000039582126,0.0028371136,0.00026401394,0.00039413606,0.00008575138,0.000039680453,0.055832952],"genre_scores_gemma":[0.9968299,0.000019759023,0.000031565552,0.000113779344,0.00011701218,8.226081e-7,0.0000016871492,0.000004817048,0.002880642],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988372,0.00013077192,0.0000839063,0.00031204408,0.00038377172,0.000252343],"domain_scores_gemma":[0.9986096,0.00013682658,0.00012486523,0.0008342494,0.00017653214,0.00011794413],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0009752538,0.000035221867,0.00014519808,0.000008151914,0.0037116585,0.00037393952,0.0015974336,0.00008004858,0.00047972126],"category_scores_gemma":[0.00032665173,0.00007220269,0.0001343266,0.000111982634,0.0011777612,0.00031730597,0.0001309254,0.00016732403,0.00008762332],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028963292,0.00023929376,0.5332909,0.000028074013,0.000029645587,0.000036006204,0.0036822525,7.314303e-7,0.00005598657,0.00015308423,0.022117049,0.44033802],"study_design_scores_gemma":[0.00014219813,0.00007035091,0.98728174,0.000047037258,0.000015145804,1.4696982e-7,0.0025759984,0.0000046610617,6.0504726e-7,0.001299447,0.008468645,0.00009400508],"about_ca_topic_score_codex":0.56785256,"about_ca_topic_score_gemma":0.85185117,"teacher_disagreement_score":0.45399088,"about_ca_system_score_codex":0.0000683353,"about_ca_system_score_gemma":0.00012138425,"threshold_uncertainty_score":0.99758536},"labels":[],"label_agreement":null},{"id":"W2789205186","doi":"10.2105/ajph.2017.304259","title":"Law Accommodating Nonmotorized Road Users and Pedestrian Fatalities in Florida, 1975 to 2013","year":2018,"lang":"en","type":"article","venue":"American Journal of Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"University of Georgia","keywords":"Pedestrian; Statute; Poison control; Occupational safety and health; Suicide prevention; Injury prevention; Environmental health; Accommodation; Human factors and ergonomics; Quarter (Canadian coin); Public health; Population; Geography; Transport engineering; Business; Political science; Law; Medicine; Psychology; Engineering; Nursing","score_opus":0.0646855323405264,"score_gpt":0.3684761952949442,"score_spread":0.3037906629544178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2789205186","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97503555,0.00009198917,0.0003805434,0.022398233,0.00035993068,0.00015508774,0.000007914597,0.00001484572,0.0015558988],"genre_scores_gemma":[0.9949773,0.000082158745,0.002199455,0.0018569641,0.00081221835,0.0000024366914,0.0000014152025,0.000008541602,0.00005953017],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99774694,0.0005107082,0.0006195053,0.00016968128,0.00040163108,0.00055152294],"domain_scores_gemma":[0.9982971,0.0001204537,0.0005132952,0.00013814821,0.00020461318,0.0007263806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004589094,0.00010216483,0.00041883404,0.00018673786,0.00039523665,0.00017852892,0.00034408964,0.000030483077,0.00008842779],"category_scores_gemma":[0.00025143815,0.00009098266,0.000051372765,0.0006884292,0.0008287196,0.00086009176,0.000028195702,0.00022729485,0.000004408081],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000067767156,0.00008711896,0.7084871,0.000021793612,0.000023589851,0.000006895622,0.051900946,7.2696497e-7,0.000011288092,0.002519379,0.0006255567,0.23624782],"study_design_scores_gemma":[0.0011361109,0.0017171506,0.74258363,0.00012428603,0.000008460774,0.000005121323,0.08011653,0.000015977217,0.0000074369636,0.000869103,0.1730914,0.00032480658],"about_ca_topic_score_codex":0.17446612,"about_ca_topic_score_gemma":0.091401875,"teacher_disagreement_score":0.23592302,"about_ca_system_score_codex":0.00019252273,"about_ca_system_score_gemma":0.0012320101,"threshold_uncertainty_score":0.9251777},"labels":[],"label_agreement":null},{"id":"W2789294993","doi":"10.14745/ccdr.v42i10a06","title":"Built environment and health","year":2016,"lang":"en","type":"article","venue":"Canada Communicable Disease Report","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"","keywords":"Computer science","score_opus":0.037713193059467354,"score_gpt":0.30186290352271206,"score_spread":0.2641497104632447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2789294993","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9243353,0.0065670987,0.00010639481,0.05500767,0.0001666167,0.0003581557,0.00005918933,0.00006472786,0.013334853],"genre_scores_gemma":[0.9947022,0.0008572431,0.00005230737,0.00055750995,0.000034899087,0.000013314026,0.000012424465,0.0000068997533,0.0037631984],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99881047,0.000101819875,0.0002460275,0.00019917965,0.0003546038,0.00028788138],"domain_scores_gemma":[0.9984137,0.000055989447,0.00011207984,0.0007387367,0.000021258747,0.00065825076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006460002,0.000078705045,0.00014619045,0.000012417009,0.00057038857,0.00002125488,0.00025913568,0.000021206468,0.0003498784],"category_scores_gemma":[0.00006266232,0.000059464903,0.000030346799,0.00004949621,0.00027616243,0.00012275807,0.00006683525,0.000056539688,0.0000016733923],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006344776,0.00003206011,0.98510426,0.000012499894,0.000010038485,0.00019058184,0.00010019282,4.1633658e-7,0.000004436772,0.00046809448,0.006433955,0.0076371087],"study_design_scores_gemma":[0.00009054213,0.000003034621,0.55305624,0.00002300888,0.000006650487,7.9637397e-7,0.00013021685,7.8280726e-7,0.0000030565345,0.0005391283,0.4460685,0.00007807748],"about_ca_topic_score_codex":0.90949434,"about_ca_topic_score_gemma":0.9605657,"teacher_disagreement_score":0.43963453,"about_ca_system_score_codex":0.00043832976,"about_ca_system_score_gemma":0.0034635332,"threshold_uncertainty_score":0.61441594},"labels":[],"label_agreement":null},{"id":"W2789600972","doi":"","title":"Comparing residential development scenarios regarding the accessibility to leisure amenities","year":2013,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for International Peace and Security","funders":"","keywords":"Computer science; Transport engineering; Engineering","score_opus":0.04043098646433276,"score_gpt":0.28245296358217964,"score_spread":0.24202197711784687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2789600972","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91428363,0.0004226468,0.012688671,0.010937526,0.0005237723,0.0012361123,0.000013664991,0.00031440888,0.059579555],"genre_scores_gemma":[0.9782165,0.00006785545,0.010021956,0.000106353335,0.00010717822,0.00020062255,0.00011779,0.000034355486,0.011127377],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9907043,0.0057503334,0.00085269136,0.0010315481,0.0010135088,0.0006476432],"domain_scores_gemma":[0.99366874,0.0011011638,0.0005517388,0.002043875,0.00230893,0.00032552856],"candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.01190984,0.00038306913,0.00054580707,0.00015725777,0.0024094835,0.0020024315,0.0030437503,0.00033441384,0.0004735977],"category_scores_gemma":[0.0015088015,0.00033371322,0.00024159293,0.0004766689,0.00068669673,0.00042251774,0.0017465897,0.0009456066,0.00008909362],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043228993,0.0005954372,0.70021456,0.00038300946,0.00020375267,0.0000057687776,0.231351,0.00016711485,0.0003365261,0.028459866,0.0041936054,0.034046147],"study_design_scores_gemma":[0.0007526709,4.851832e-7,0.8453312,0.0039755525,0.00016043031,0.0000010133447,0.0069489446,0.0014850039,0.016866071,0.012736722,0.11007429,0.0016676366],"about_ca_topic_score_codex":0.025181863,"about_ca_topic_score_gemma":0.109126925,"teacher_disagreement_score":0.22440206,"about_ca_system_score_codex":0.00042569745,"about_ca_system_score_gemma":0.0011825853,"threshold_uncertainty_score":0.9999115},"labels":[],"label_agreement":null},{"id":"W2789922724","doi":"10.3390/ijgi7040131","title":"The Role of Social Factors in the Accessibility of Urban Areas for People with Motor Disabilities","year":2018,"lang":"en","type":"article","venue":"ISPRS International Journal of Geo-Information","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Centre for Interdisciplinary Research in Rehabilitation; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Secretário de Ciência, Tecnologia e Ensino Superior, Governo do Estado de Parana","keywords":"Pedestrian; Disabled people; Dimension (graph theory); Work (physics); Computer science; Business; Transport engineering; Psychology; Applied psychology; Engineering","score_opus":0.01071592510673645,"score_gpt":0.29741097143798567,"score_spread":0.2866950463312492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2789922724","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952879,0.000020133462,0.00074794464,0.00085458107,0.00033696086,0.0002484183,0.00007601121,0.0000036719778,0.0024243605],"genre_scores_gemma":[0.9995857,0.0000061558703,0.00007869125,0.000033714095,0.00025651048,0.000006648165,0.000012411655,0.0000019840343,0.000018175626],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983045,0.00007894779,0.00066862785,0.000045698245,0.00077538315,0.00012687666],"domain_scores_gemma":[0.99733186,0.00044191437,0.0008131794,0.0000879553,0.0013002647,0.000024808402],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014742286,0.000070940914,0.00015295102,0.00008603986,0.0002540947,0.00011110775,0.0007604974,0.00005101308,0.000049370705],"category_scores_gemma":[0.000548443,0.000038083715,0.00012706092,0.00015211826,0.00047910365,0.0020637966,0.000016517526,0.00010238208,6.5371586e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006375298,0.00007880425,0.8741228,0.000017244787,0.000047138805,4.189669e-8,0.11158116,0.0000039296237,0.000026828737,0.009532127,0.00016413564,0.003788257],"study_design_scores_gemma":[0.0004773252,0.00015190989,0.9065869,0.000027356322,0.000019952575,4.143087e-7,0.07546388,0.00007200014,0.0008775046,0.008159712,0.00810402,0.000059063408],"about_ca_topic_score_codex":0.0009108194,"about_ca_topic_score_gemma":0.0027709557,"teacher_disagreement_score":0.036117278,"about_ca_system_score_codex":0.00010308071,"about_ca_system_score_gemma":0.0002345562,"threshold_uncertainty_score":0.19543166},"labels":[],"label_agreement":null},{"id":"W2790297009","doi":"10.1016/j.aap.2018.03.006","title":"Exploring unobserved heterogeneity in bicyclists’ red-light running behaviors at different crossing facilities","year":2018,"lang":"en","type":"article","venue":"Accident Analysis & Prevention","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":143,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Fundamental Research Funds for the Central Universities; Graduate Research and Innovation Projects of Jiangsu Province; China Postdoctoral Science Foundation; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Intersection (aeronautics); Transport engineering; Logistic regression; Statistics; Poison control; Traffic volume; Red light; Simulation; Computer science; Engineering; Mathematics","score_opus":0.13382754129437288,"score_gpt":0.3595855302179755,"score_spread":0.22575798892360263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2790297009","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99834985,0.00014901014,0.00030724844,0.00017484343,0.00026163048,0.00023099028,7.3197924e-7,0.000101253514,0.0004244593],"genre_scores_gemma":[0.99766403,0.000047662532,0.00006318631,0.000009521261,0.000186186,0.00005973154,0.00007008648,0.000011284361,0.0018882919],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973653,0.00028045874,0.0006953292,0.00057547865,0.0005953797,0.0004880736],"domain_scores_gemma":[0.9990659,0.000036389054,0.00026716874,0.0003898597,0.00011422587,0.00012645662],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00097396167,0.00020914164,0.0004146731,0.00040571648,0.0012294303,0.0003766291,0.00036138066,0.00010763693,0.0010165076],"category_scores_gemma":[0.000053168744,0.00020517787,0.00052735617,0.0012780213,0.00025645326,0.0013534254,0.00010554429,0.00013649411,0.000020267837],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028818244,0.0001077762,0.98884004,0.000003329476,0.00012444779,0.0000035439807,0.007873014,0.0000153864,0.0015913238,0.000018265368,0.000009249454,0.0013848003],"study_design_scores_gemma":[0.00022841421,0.000021973596,0.9881461,0.00004600066,0.00044856116,5.1000836e-8,0.0016911364,0.0000411463,0.00840606,0.0003112578,0.00043655545,0.00022273425],"about_ca_topic_score_codex":0.008702739,"about_ca_topic_score_gemma":0.56948215,"teacher_disagreement_score":0.56077945,"about_ca_system_score_codex":0.00050303026,"about_ca_system_score_gemma":0.000036939124,"threshold_uncertainty_score":0.9998967},"labels":[],"label_agreement":null},{"id":"W2790611461","doi":"","title":"Will Peak Travel Observed in Northern Cities Occur in the South ? Case studies in France and Mexico","year":2013,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"TRIPS architecture; Geography; Recession; Economic geography; Population; Demography; Transport engineering; Economics; Sociology; Engineering","score_opus":0.05130790089877933,"score_gpt":0.28607284249390064,"score_spread":0.2347649415951213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2790611461","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9847515,0.004030359,0.00018849214,0.005157363,0.00012553645,0.0007439671,0.000039733975,0.000039101975,0.0049239458],"genre_scores_gemma":[0.99718845,0.0007636072,0.00052717933,0.00008856521,0.00001969703,0.00014399842,0.00004002563,0.000014599888,0.0012138938],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99276143,0.005270866,0.00059153215,0.00061492773,0.00037692636,0.00038430718],"domain_scores_gemma":[0.99674267,0.0013562987,0.00029893435,0.0009227956,0.0006031444,0.000076174714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008366975,0.00025203236,0.00043118183,0.00017227294,0.0003437758,0.0002787426,0.0009994894,0.00023230657,0.000031522148],"category_scores_gemma":[0.0011635278,0.00021591959,0.00009267867,0.00052294263,0.0009365466,0.0003398579,0.00032332906,0.0007537392,0.0000037295558],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003093511,0.00015775864,0.665275,0.00009660336,0.000010393696,0.0000486976,0.33008116,0.000013613716,0.000007983117,0.0028163244,0.000015187696,0.0014741871],"study_design_scores_gemma":[0.0006911491,3.7309462e-7,0.9197084,0.001529954,0.000020436551,0.0000043059154,0.06295799,0.0006416946,0.0001178998,0.013298472,0.0005812223,0.0004481503],"about_ca_topic_score_codex":0.056775715,"about_ca_topic_score_gemma":0.6799401,"teacher_disagreement_score":0.6231644,"about_ca_system_score_codex":0.00012997178,"about_ca_system_score_gemma":0.00024476004,"threshold_uncertainty_score":0.94950527},"labels":[],"label_agreement":null},{"id":"W2790622420","doi":"10.1136/bmjopen-2017-017704","title":"Longitudinal designs to study neighbourhood effects on the development of obesity: a scoping review protocol","year":2018,"lang":"en","type":"review","venue":"BMJ Open","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Fonds de Recherche du Québec - Santé; Institut universitaire de cardiologie et de pneumologie de Québec, Université Laval; Université Laval","keywords":"Neighbourhood (mathematics); Medicine; Public health; Clinical study design; Covariate; Grey literature; Population; Systematic review; Gerontology; MEDLINE; Data science; Environmental health; Statistics; Computer science; Clinical trial","score_opus":0.3549239239818592,"score_gpt":0.5432561572589958,"score_spread":0.1883322332771366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2790622420","genre_codex":"protocol","genre_gemma":"protocol","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"protocol","genre_consensus":"protocol","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000029167757,0.15471813,0.000038073285,0.000077297234,0.00008840054,0.83968306,0.0000035091334,0.00002101427,0.005341325],"genre_scores_gemma":[0.000040591232,0.063938536,0.000787367,0.00017291693,0.0002693635,0.9344919,0.0000054274806,0.00003304707,0.00026087448],"study_design_codex":"design_other","study_design_gemma":"systematic_review","domain_scores_codex":[0.9953639,0.0016516846,0.0011814717,0.0006275324,0.00081016385,0.00036522784],"domain_scores_gemma":[0.9975899,0.00051400403,0.0007717432,0.000828366,0.00014741322,0.00014859001],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009652236,0.00035134048,0.0018463171,0.00006164972,0.0007183372,0.00021035806,0.0025591007,0.000114864335,0.00068831077],"category_scores_gemma":[0.00064556126,0.00020329645,0.0002439117,0.00078476133,0.00008678684,0.00015086429,0.00047290884,0.00018445347,0.00016231157],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000388751,0.0008185405,0.004225579,0.2682569,0.00023042224,0.000014556033,0.0036829808,7.1673587e-9,1.6430306e-8,0.0000900144,0.0009759623,0.72166616],"study_design_scores_gemma":[0.0002421531,0.00035013244,0.0022899264,0.7769304,0.0004253286,2.4793263e-7,0.00009791507,1.03283995e-8,0.0000054373813,0.000039516744,0.2191716,0.00044735157],"about_ca_topic_score_codex":0.0002052434,"about_ca_topic_score_gemma":0.0048903967,"teacher_disagreement_score":0.72121876,"about_ca_system_score_codex":0.0001579641,"about_ca_system_score_gemma":0.0036169123,"threshold_uncertainty_score":0.8290189},"labels":[],"label_agreement":null},{"id":"W2790858989","doi":"10.1177/0733464818755313","title":"Access to Showers and Change Rooms at Work Associated With Active Commuting Among Older Workers: Findings From a National Population Survey","year":2018,"lang":"en","type":"article","venue":"Journal of Applied Gerontology","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto; Institute for Work & Health","funders":"","keywords":"Demography; Confidence interval; Odds ratio; Logistic regression; Gerontology; Odds; Cycling; Medicine; Population; Occupational safety and health; Environmental health; Psychology; Geography","score_opus":0.08876900318645736,"score_gpt":0.34605211173663464,"score_spread":0.2572831085501773,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2790858989","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971043,0.00002259682,0.000118511896,0.00039688582,0.00019374763,0.00025371517,0.00001450915,0.00001456868,0.0018811887],"genre_scores_gemma":[0.9991716,0.0000019001636,0.0001823065,0.00025845334,0.00029971317,0.000008345774,0.000028371629,0.000009466602,0.00003983902],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986286,0.00014539025,0.00031664417,0.00020195638,0.00042895714,0.00027845564],"domain_scores_gemma":[0.9986444,0.0003727185,0.0004479647,0.000068762005,0.00031748012,0.00014869185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012356793,0.00011792856,0.00030820214,0.000105342006,0.00036477437,0.00009309794,0.00027450846,0.00017690557,0.00015755136],"category_scores_gemma":[0.00017045505,0.00009951258,0.000035088222,0.0003635486,0.0003051253,0.0004996078,0.00004841009,0.00020553489,0.000002025812],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006556913,0.00004192364,0.98433334,0.0000011753805,0.00008168416,0.000002297512,0.012928951,0.0000034712834,0.000008895557,0.000021450856,0.0004209894,0.0015001217],"study_design_scores_gemma":[0.0005334347,0.000053507403,0.9977474,0.00005799067,0.000031569885,2.4196694e-7,0.00093260047,0.0000050791023,0.0000267284,0.00044348207,0.000051236188,0.00011672396],"about_ca_topic_score_codex":0.006456908,"about_ca_topic_score_gemma":0.25856915,"teacher_disagreement_score":0.25211224,"about_ca_system_score_codex":0.00037638677,"about_ca_system_score_gemma":0.00007357486,"threshold_uncertainty_score":0.9760956},"labels":[],"label_agreement":null},{"id":"W2791678370","doi":"10.1016/j.apgeog.2018.01.017","title":"Unequal spatial accessibility of integration-promoting resources and immigrant health: A mixed-methods approach","year":2018,"lang":"en","type":"article","venue":"Applied Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Social Sciences and Humanities Research Council of Canada; Ryerson University","keywords":"Immigration; Geography; Focus group; Ethnic group; Space (punctuation); Regional science; Focus (optics); Economic geography; Sociology; Computer science; Anthropology","score_opus":0.019647613765041254,"score_gpt":0.3384016151306137,"score_spread":0.3187540013655724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2791678370","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9564779,0.00032993304,0.03215252,0.0001949704,0.00015961181,0.0005570328,0.00001838715,0.00010005956,0.010009616],"genre_scores_gemma":[0.97573125,0.000021653237,0.023818227,0.00008848925,0.00026641475,0.000036060806,0.000019503253,0.000011021074,0.0000074011105],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9976639,0.00036978078,0.0005832196,0.00057655206,0.0003821476,0.00042437928],"domain_scores_gemma":[0.998801,0.00018842718,0.0003514663,0.00033272896,0.00013862629,0.00018776639],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003668139,0.00018066731,0.00038898457,0.00017449082,0.0007550057,0.00008961663,0.00036999412,0.00014110528,0.000057587597],"category_scores_gemma":[0.00007870046,0.00015554711,0.0001286535,0.000851501,0.0016533639,0.00016913636,0.000063262225,0.00019756032,0.0000013753873],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012874947,0.000340385,0.43347493,0.00014911695,0.0000500698,2.3276641e-7,0.06552278,3.6526174e-7,0.0008750783,0.004710775,0.00004843184,0.4946991],"study_design_scores_gemma":[0.0005300593,0.00016014444,0.9660115,0.000040665163,0.000039071216,1.1856648e-7,0.013802287,0.0001810983,0.0029406843,0.01433848,0.0016404417,0.0003154067],"about_ca_topic_score_codex":0.022696747,"about_ca_topic_score_gemma":0.008181156,"teacher_disagreement_score":0.5325366,"about_ca_system_score_codex":0.000019633295,"about_ca_system_score_gemma":0.00009686154,"threshold_uncertainty_score":0.9838112},"labels":[],"label_agreement":null},{"id":"W2791717116","doi":"10.1017/s0144686x18000181","title":"‘It makes your life worthwhile. It gives you a purpose in living’: mobility experiences among active older adults with low income","year":2018,"lang":"en","type":"article","venue":"Ageing and Society","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; University of British Columbia","funders":"World Health Organization","keywords":"Openness to experience; Psychology; Walkability; TRIPS architecture; Intrapersonal communication; Gerontology; Active ageing; Life course approach; Neighbourhood (mathematics); Perception; Mobilities; Sociology; Social psychology; Physical activity; Older people; Medicine; Interpersonal communication","score_opus":0.010921256926925176,"score_gpt":0.2674679467644301,"score_spread":0.2565466898375049,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2791717116","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99601644,0.00014326397,0.000053627966,0.00039622284,0.00012878772,0.0004035832,0.000006482201,0.00008430121,0.0027673172],"genre_scores_gemma":[0.998554,0.000093972245,0.00016836022,0.00033144973,0.0002578844,0.00008708593,0.0000027244291,0.000011608514,0.00049294584],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981014,0.00014402436,0.0002873899,0.0006023925,0.000384671,0.00048011963],"domain_scores_gemma":[0.99911785,0.00017564942,0.00013296846,0.00023291714,0.00012384418,0.00021678774],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008238986,0.00020071257,0.00028696528,0.000029158551,0.000868827,0.00016819697,0.00027226104,0.00018365833,0.00023630074],"category_scores_gemma":[0.00015211821,0.00016167827,0.00011695314,0.0004521203,0.0019772286,0.00079613563,0.00005562484,0.00026479128,0.000002927636],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023733755,0.00009813233,0.5036617,0.0000286238,0.000014013066,0.0000048962984,0.4949884,4.806677e-7,0.0000025803433,0.000006871197,0.0000642241,0.0011063254],"study_design_scores_gemma":[0.00023642219,0.000047961414,0.6560962,0.00029472957,0.000009555938,9.379454e-8,0.3428673,0.00006150762,0.000027697091,0.00003980342,0.0001463397,0.00017232155],"about_ca_topic_score_codex":0.0077343406,"about_ca_topic_score_gemma":0.027039818,"teacher_disagreement_score":0.15243453,"about_ca_system_score_codex":0.000067447065,"about_ca_system_score_gemma":0.00017746756,"threshold_uncertainty_score":0.99887323},"labels":[],"label_agreement":null},{"id":"W2791963705","doi":"10.1016/j.cities.2018.01.006","title":"The influence of the built environment on household vehicle travel by the urban typology in Calgary, Canada","year":2018,"lang":"en","type":"article","venue":"Cities","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":65,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"Oak Foundation","keywords":"Typology; Vehicle miles of travel; Land use; Geography; Transport engineering; Public transport; Travel behavior; Business; Agricultural economics; Regional science; Civil engineering; Engineering; Economics","score_opus":0.015612058492094655,"score_gpt":0.2275717464036221,"score_spread":0.21195968791152744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2791963705","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9915034,0.00021315667,5.7424455e-7,0.0025903634,0.0001389164,0.00013090254,0.000018099689,0.0000044542203,0.005400124],"genre_scores_gemma":[0.99762595,0.000027661827,6.7538554e-7,0.0005502866,0.000056255736,0.00000937955,4.2282764e-7,0.0000034938112,0.0017258548],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992061,0.00011603843,0.00013753465,0.000103433646,0.0002404555,0.00019642434],"domain_scores_gemma":[0.9994895,0.00017474433,0.000055330554,0.000245389,0.0000114519125,0.000023570356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029833082,0.000057125806,0.00007082891,0.0000057131956,0.0005285123,0.000014384939,0.0005142722,0.000028478804,0.0000336729],"category_scores_gemma":[0.000037108515,0.000028162878,0.000023734625,0.00007926179,0.0018662539,0.000037794787,0.000024271038,0.00011278248,0.0000012891206],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023650626,0.0000300351,0.97190315,0.0000040510668,0.000008893244,0.0000010122185,0.009834874,0.000022123879,0.00039493284,0.007085487,0.01012526,0.0005665354],"study_design_scores_gemma":[0.00006886893,0.000018426976,0.9684997,0.000006348302,0.000003697629,4.7036764e-8,0.003580379,0.000002923936,0.0015787453,0.0010680187,0.025127513,0.000045332014],"about_ca_topic_score_codex":0.7547585,"about_ca_topic_score_gemma":0.91874903,"teacher_disagreement_score":0.16399057,"about_ca_system_score_codex":0.000087528,"about_ca_system_score_gemma":0.00022020884,"threshold_uncertainty_score":0.68762904},"labels":[],"label_agreement":null},{"id":"W2792968725","doi":"10.1016/j.physbeh.2018.02.032","title":"Spatial access to food: Retiring the food desert metaphor","year":2018,"lang":"en","type":"article","venue":"Physiology & Behavior","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":110,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Metaphor; Desert (philosophy); Geography; Psychology; Political science","score_opus":0.08742906875305287,"score_gpt":0.36787155488506545,"score_spread":0.2804424861320126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2792968725","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99580264,0.000041881125,0.00006382329,0.0010860891,0.0007736575,0.00055680954,0.000018696534,0.000094461924,0.0015619406],"genre_scores_gemma":[0.997935,0.000003430839,0.00008265733,0.0005980884,0.0009967142,0.00017748715,0.000006640288,0.000013508905,0.00018647106],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99854356,0.00016446588,0.00021152117,0.00039734118,0.00022269742,0.0004604148],"domain_scores_gemma":[0.99917626,0.00007318205,0.000074293275,0.000404623,0.00013891135,0.00013275504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036715262,0.00013807196,0.00020916006,0.000043063785,0.00084420084,0.000086038315,0.0010208089,0.00011218345,0.0008813583],"category_scores_gemma":[0.00006655774,0.00009751164,0.00011620304,0.00032114465,0.00071676413,0.00027542948,0.00013349767,0.00016673324,0.00009915662],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001576975,0.00039730404,0.910777,0.000008471219,0.000071192175,0.0000029353657,0.011186451,8.4120813e-7,0.05275595,0.0011912896,0.0022947644,0.021156143],"study_design_scores_gemma":[0.00011697762,0.00027196016,0.9801096,0.00000536537,0.00007898023,1.0008129e-7,0.00030145692,0.0000010034934,0.010180077,0.0008407146,0.007945901,0.00014789312],"about_ca_topic_score_codex":0.0032096722,"about_ca_topic_score_gemma":0.0323447,"teacher_disagreement_score":0.06933261,"about_ca_system_score_codex":0.000043651413,"about_ca_system_score_gemma":0.00010009089,"threshold_uncertainty_score":0.98531246},"labels":[],"label_agreement":null},{"id":"W2793081748","doi":"10.1136/bmjopen-2017-019130","title":"Impacts of Bicycle Infrastructure in Mid-Sized Cities (IBIMS): protocol for a natural experiment study in three Canadian cities","year":2018,"lang":"en","type":"article","venue":"BMJ Open","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; Vancouver Coastal Health Research Institute; Memorial University of Newfoundland; Vancouver Coastal Health; Université de Montréal; Simon Fraser University","funders":"Canadian Institutes of Health Research","keywords":"TRIPS architecture; Occupational safety and health; Population; Poison control; Psychological intervention; Injury prevention; Transport engineering; Suicide prevention; Human factors and ergonomics; Natural experiment; Environmental health; Investment (military); Level design; Geography; Medicine; Engineering; Political science","score_opus":0.07956458812697043,"score_gpt":0.4450273820068475,"score_spread":0.36546279387987707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2793081748","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7697028,0.0000036520205,7.370139e-7,0.00022236649,0.000086986736,0.22660665,0.00001886561,0.000007597149,0.0033503496],"genre_scores_gemma":[0.85133606,4.1676984e-8,0.00017319553,0.00006303757,0.000100090525,0.14816833,0.000002974755,0.000007623977,0.00014862715],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99859375,0.00011038027,0.0003989532,0.00024084235,0.0002588822,0.0003972206],"domain_scores_gemma":[0.9993738,0.000051080293,0.00012353018,0.00023592026,0.00009905035,0.00011664786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011226415,0.0001229802,0.00030436428,0.00014989432,0.00019414797,0.00014160707,0.00068843237,0.00007846414,0.0003959675],"category_scores_gemma":[0.00012744784,0.00010314305,0.00004253068,0.00033066748,0.00028678618,0.00047019092,0.0000755061,0.000093624156,0.000001289134],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004957249,0.00008020301,0.95076436,0.000039793224,0.000009200035,0.0000036696115,0.047723643,8.2999134e-7,0.00007157586,0.00015852784,0.00031797463,0.00033447],"study_design_scores_gemma":[0.002782604,0.00020500507,0.96359414,0.00011201394,0.0000031330123,6.1172585e-8,0.027575651,0.000012273355,0.0007311866,0.004086431,0.0007410606,0.00015646717],"about_ca_topic_score_codex":0.75535405,"about_ca_topic_score_gemma":0.99478894,"teacher_disagreement_score":0.23943488,"about_ca_system_score_codex":0.0002699482,"about_ca_system_score_gemma":0.001695707,"threshold_uncertainty_score":0.43355665},"labels":[],"label_agreement":null},{"id":"W2793361901","doi":"10.1111/grow.12243","title":"Generational Differences in Trip Timing and Purpose: Evidence from Canada","year":2018,"lang":"en","type":"article","venue":"Growth and Change","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Baby boomers; TRIPS architecture; Descriptive statistics; Demographic economics; General Social Survey; Population; License; Demography; Travel behavior; Demographics; Generation x; Geography; Psychology; Economics; Statistics; Sociology; Social psychology; Political science; Transport engineering","score_opus":0.1084096385674581,"score_gpt":0.2894390483559528,"score_spread":0.1810294097884947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2793361901","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964869,0.0015606161,0.0000145284075,0.0013538421,0.00013365275,0.000086468586,0.000015989259,0.00000676138,0.00034126235],"genre_scores_gemma":[0.9988111,0.00021393699,0.000055878765,0.00025096195,0.00059619726,0.000011195345,0.0000042897605,0.0000015517634,0.00005485595],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994561,0.000033474138,0.00007725661,0.00015426404,0.00014569907,0.0001331723],"domain_scores_gemma":[0.9997796,0.0000654739,0.000021273812,0.000035477282,0.000022592307,0.00007558259],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011200417,0.000048392027,0.00007628927,0.000017969576,0.00021003626,0.000043875094,0.00006734569,0.000034294793,0.00011708837],"category_scores_gemma":[0.000041816922,0.00004181644,0.000005825045,0.00008626018,0.00015666959,0.00023145205,0.000011392407,0.0000388307,4.544035e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000611152,0.000004094115,0.9907891,0.000004879529,0.0000012549489,0.0000021229275,0.006047213,8.1715174e-10,0.00005598142,0.00010301389,0.00006516515,0.0029210423],"study_design_scores_gemma":[0.000082341554,0.0000128474185,0.998337,0.000026313464,0.0000035991159,4.0106627e-8,0.0004187356,0.00002417314,0.00014666088,0.0006904625,0.00019673308,0.00006112223],"about_ca_topic_score_codex":0.89880836,"about_ca_topic_score_gemma":0.98233104,"teacher_disagreement_score":0.08352267,"about_ca_system_score_codex":0.00001835874,"about_ca_system_score_gemma":0.00011808913,"threshold_uncertainty_score":0.1705225},"labels":[],"label_agreement":null},{"id":"W2793404783","doi":"10.1016/j.ypmed.2018.02.009","title":"Neighborhood built environment and socioeconomic status in relation to physical activity, sedentary behavior, and weight status of adolescents","year":2018,"lang":"en","type":"article","venue":"Preventive Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":184,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Heart, Lung, and Blood Institute; University of California, San Diego; National Institutes of Health","keywords":"Walkability; Medicine; Socioeconomic status; Demography; Built environment; Environmental health; Gerontology; Physical activity; Sedentary behavior; Logistic regression; Cross-sectional study; Population; Physical therapy","score_opus":0.01805418046040503,"score_gpt":0.31557777660377934,"score_spread":0.2975235961433743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2793404783","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982201,0.00017978525,0.00011944026,0.0003447819,0.00009514519,0.00054561254,0.000015423218,0.000007792778,0.0004719085],"genre_scores_gemma":[0.9994475,0.00019088978,0.000039485898,0.000036988928,0.00017335021,0.000016717304,0.0000066147227,0.0000060865436,0.00008236465],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989994,0.00011026614,0.00016086388,0.0002657085,0.00019351438,0.00027020273],"domain_scores_gemma":[0.99957174,0.000041394764,0.00009198928,0.000094994255,0.00001798674,0.00018188868],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002629553,0.000095320785,0.00021419943,0.000065519474,0.00008929954,0.000005794324,0.0000622327,0.00004340744,0.00017271738],"category_scores_gemma":[0.000022327156,0.000085593965,0.000020556194,0.00006678087,0.00062752434,0.00020592127,0.000047702022,0.000099080404,0.000004866442],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000583094,0.00023655417,0.9677804,0.000018123554,0.000008041988,0.0000010408129,0.013509709,1.0576411e-7,0.0014764911,0.00005167101,0.000021094158,0.016838452],"study_design_scores_gemma":[0.000859339,0.00018311467,0.99636245,0.00006988254,0.00005097906,5.4559703e-8,0.0006875845,0.000013821064,0.00040529968,0.0009852839,0.00030265222,0.00007952788],"about_ca_topic_score_codex":0.004856581,"about_ca_topic_score_gemma":0.0022895425,"teacher_disagreement_score":0.028582055,"about_ca_system_score_codex":0.0001377221,"about_ca_system_score_gemma":0.000040015668,"threshold_uncertainty_score":0.734173},"labels":[],"label_agreement":null},{"id":"W2793997825","doi":"10.1016/j.pmedr.2018.03.008","title":"Impact of new rapid transit on physical activity: A meta-analysis","year":2018,"lang":"en","type":"review","venue":"Preventive Medicine Reports","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada; Michael Smith Health Research BC","keywords":"Physical activity; Transit (satellite); Medicine; Transport engineering; Physical medicine and rehabilitation; Engineering; Public transport","score_opus":0.23014990854755707,"score_gpt":0.4866491227776132,"score_spread":0.2564992142300561,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2793997825","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0017884278,0.9876477,0.0004128412,0.00008576609,0.00022063656,0.0014489515,0.000043236036,0.000056083456,0.00829632],"genre_scores_gemma":[0.077873595,0.91188157,0.000021944612,0.0000075380826,0.0016277091,0.00008166492,0.00012001153,0.000049522856,0.008336446],"study_design_codex":"design_other","study_design_gemma":"meta_analysis","domain_scores_codex":[0.9953108,0.0008783205,0.0010740006,0.0010069058,0.0012932093,0.00043680993],"domain_scores_gemma":[0.9958516,0.0004266616,0.0021345483,0.0009776221,0.00023052056,0.00037905967],"candidate_categories":["metaepi_narrow","metaepi_broad","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0023022972,0.00060205656,0.0072132205,0.00048494333,0.00015456593,0.000019217145,0.00036665678,0.00026640896,0.0037358024],"category_scores_gemma":[0.00035913027,0.00034550598,0.01075748,0.0021752038,0.0007758069,0.00018064158,0.000026307254,0.00042858746,0.000008673246],"study_design_candidate":"meta_analysis","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000332767,0.0011024795,0.0010998553,0.0023895092,0.31750843,0.00023697666,0.0049588475,0.0000011097144,5.9297344e-7,0.000031152824,0.002026522,0.67061126],"study_design_scores_gemma":[0.000108766384,0.00039481197,0.0028518245,0.0008540242,0.6890858,0.0000032869282,0.000031131767,7.624633e-7,0.0000025997133,0.0005538896,0.30573106,0.00038203772],"about_ca_topic_score_codex":0.0074062822,"about_ca_topic_score_gemma":0.00063704135,"teacher_disagreement_score":0.6702292,"about_ca_system_score_codex":0.0002108718,"about_ca_system_score_gemma":0.0014534345,"threshold_uncertainty_score":0.9998997},"labels":[],"label_agreement":null},{"id":"W2794398054","doi":"10.1080/14927713.2018.1449134","title":"‘Everything Looks Better from the Seat of a Bike’: a qualitative exploration of the San José Bike Party","year":2018,"lang":"en","type":"article","venue":"Leisure/Loisir","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Narrative; Experiential learning; Focus group; Politics; Qualitative research; Sociology; Media studies; Psychology; Advertising; Public relations; History; Political science; Law; Art; Pedagogy; Social science; Business; Anthropology","score_opus":0.07456014976156707,"score_gpt":0.3505479085976425,"score_spread":0.27598775883607546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2794398054","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99280244,0.00010072641,0.0005680156,0.003333491,0.0003496359,0.0003754458,0.000059758084,0.00003088853,0.0023795827],"genre_scores_gemma":[0.9986968,0.000006410947,0.00023969631,0.0003208779,0.00044391156,0.0000146683915,0.000009830176,0.000010117949,0.0002576689],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978106,0.0007141776,0.0004009922,0.00025699736,0.0005841595,0.00023309152],"domain_scores_gemma":[0.99847084,0.00049834925,0.0003103668,0.000430936,0.00024169881,0.000047803067],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014050769,0.00012635543,0.00024397354,0.000024919444,0.0004544192,0.00004942092,0.00054707663,0.00011395791,0.0002470273],"category_scores_gemma":[0.0001841405,0.00007170972,0.0001587517,0.00039654484,0.0010989694,0.0005790712,0.00004945272,0.00017972905,0.000012671285],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056145185,0.00009258122,0.5795986,0.000019727626,0.00006431668,4.9768124e-7,0.4117447,0.0000018023325,0.002795325,0.0021019517,0.0016618314,0.0018624954],"study_design_scores_gemma":[0.00082417566,0.0001475683,0.7803053,0.00028249246,0.0001758863,9.12323e-8,0.081953876,0.00004742492,0.045527007,0.067106925,0.02322574,0.00040350703],"about_ca_topic_score_codex":0.01129616,"about_ca_topic_score_gemma":0.028664539,"teacher_disagreement_score":0.32979083,"about_ca_system_score_codex":0.000036939346,"about_ca_system_score_gemma":0.0001586264,"threshold_uncertainty_score":0.9952877},"labels":[],"label_agreement":null},{"id":"W2794638156","doi":"10.5539/jsd.v11n2p149","title":"Does “Where We Live” Reflect “What We Do”? An Overview of Empirical Evidence on Place-People Correspondence with Regards to Sustainability Performance","year":2018,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Université Laval; Université de Montréal","funders":"","keywords":"Sustainability; Multidisciplinary approach; Pillar; Empirical evidence; Empirical research; Public economics; Sociology; Economics; Social science; Epistemology; Engineering; Ecology","score_opus":0.06850944037191369,"score_gpt":0.3815298450662473,"score_spread":0.3130204046943336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2794638156","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98917055,0.0023129033,0.00014841996,0.0071224826,0.00030509033,0.00069066096,8.5323575e-7,0.000025376607,0.00022366739],"genre_scores_gemma":[0.9896845,0.0036287792,0.0014071665,0.00022758936,0.00022901435,0.000021411188,4.5936312e-7,0.000018513016,0.004782558],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99576825,0.00041054672,0.0009357437,0.000469468,0.0016026682,0.0008133176],"domain_scores_gemma":[0.99418133,0.00034080492,0.00064495596,0.0004497693,0.0039007259,0.00048239235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004844353,0.0002848861,0.0005969781,0.00031268902,0.0007443363,0.00028740126,0.0009571153,0.00014764433,0.00046200017],"category_scores_gemma":[0.0007405793,0.00017160231,0.00010317677,0.0013586273,0.0004557893,0.003057207,0.00010608781,0.0003827895,0.000010245108],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0066385525,0.00080487615,0.7345948,0.0022173754,0.00008613671,0.00028324107,0.22684054,0.000121946614,0.000034269346,0.000578705,0.0020650628,0.02573448],"study_design_scores_gemma":[0.0008158612,0.004173842,0.5256448,0.005268444,0.00007169205,0.0000098781475,0.3237453,0.00001339831,0.0030567548,0.0014740147,0.13505594,0.0006700687],"about_ca_topic_score_codex":0.00029674874,"about_ca_topic_score_gemma":0.0031881582,"teacher_disagreement_score":0.20895003,"about_ca_system_score_codex":0.002025705,"about_ca_system_score_gemma":0.007152354,"threshold_uncertainty_score":0.99847615},"labels":[],"label_agreement":null},{"id":"W2795824936","doi":"10.1016/j.pmedr.2018.03.013","title":"Naturally occurring workplace facilities to increase the leisure time physical activity of workers: A propensity-score weighted population study","year":2018,"lang":"en","type":"article","venue":"Preventive Medicine Reports","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto; Institute for Work & Health","funders":"","keywords":"Multinomial logistic regression; Logistic regression; Socioeconomic status; Environmental health; Latent class model; Occupational safety and health; Gerontology; Population; Medicine; Psychology; Statistics","score_opus":0.03601597300075425,"score_gpt":0.3301358327114938,"score_spread":0.29411985971073956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2795824936","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950657,0.000042134714,0.00010201962,0.00040482145,0.00024779502,0.0016649773,0.0000036908552,0.000063563864,0.002405283],"genre_scores_gemma":[0.9959817,4.6902042e-7,0.000019780457,0.000013510856,0.00054945075,0.000032357897,0.0000070205556,0.000008150372,0.003387575],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99769866,0.00048809964,0.00034793495,0.00041782256,0.00078737584,0.0002601211],"domain_scores_gemma":[0.9985894,0.00016788533,0.00036979865,0.00038906268,0.0003569102,0.00012695434],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00193909,0.00016752913,0.00046185948,0.00006582381,0.0004233398,0.000024613866,0.00020475662,0.000052917247,0.00016117611],"category_scores_gemma":[0.0005884192,0.00010241758,0.00008777069,0.0005726711,0.0005328052,0.00031643177,0.00007901653,0.00021075468,0.0000052462074],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014363191,0.00033880144,0.9694348,0.00002239343,0.000055838165,0.000030271807,0.025472747,7.2114517e-7,0.00020517879,0.0000110616775,0.00021956986,0.0040649637],"study_design_scores_gemma":[0.00018053541,0.0001974003,0.9944426,0.00020900091,0.00010498409,0.0000014204376,0.0035547626,0.0000149016005,0.0002116254,0.00053744955,0.00042468146,0.000120633274],"about_ca_topic_score_codex":0.020572707,"about_ca_topic_score_gemma":0.0050762026,"teacher_disagreement_score":0.025007784,"about_ca_system_score_codex":0.00008454647,"about_ca_system_score_gemma":0.00012726162,"threshold_uncertainty_score":0.9859494},"labels":[],"label_agreement":null},{"id":"W2795968545","doi":"10.1007/s11524-018-0243-9","title":"Reliability and One-Year Stability of the PIN3 Neighborhood Environmental Audit in Urban and Rural Neighborhoods","year":2018,"lang":"en","type":"article","venue":"Journal of Urban Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Cancer Institute; National Heart, Lung, and Blood Institute","keywords":"Reliability (semiconductor); Audit; Cohen's kappa; Kappa; Statistics; Quarter (Canadian coin); Environmental health; Geography; Mathematics; Business; Medicine; Accounting","score_opus":0.018050751160462123,"score_gpt":0.28029601189633335,"score_spread":0.26224526073587123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2795968545","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9943087,0.0011469672,0.000013960795,0.0032698906,0.00028342463,0.00030257172,0.00003202105,0.0000057307907,0.00063671084],"genre_scores_gemma":[0.9990576,0.0001996856,0.00015605467,0.00018400898,0.00036595258,0.0000010671215,7.2125084e-7,0.000007672786,0.000027241014],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99759114,0.00050564326,0.00084256823,0.00020472336,0.000517981,0.0003379731],"domain_scores_gemma":[0.9985916,0.000151198,0.0006456107,0.0002728771,0.00007310693,0.00026563005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002943124,0.00012662855,0.00041579458,0.000059345868,0.00030970856,0.00002995192,0.00029213534,0.00010010888,0.0001737616],"category_scores_gemma":[0.00020646253,0.00009200723,0.00009838858,0.00023433016,0.001261367,0.0004133945,0.000058879516,0.00037885766,6.9856446e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010573234,0.00024995836,0.9876176,0.0000458426,0.000008798766,4.0645747e-7,0.010131555,2.1115801e-7,0.00012265159,0.00043140253,0.00021662153,0.0010692265],"study_design_scores_gemma":[0.000655977,0.00042667988,0.9922499,0.00008088165,0.0000147990795,6.628933e-7,0.0025316023,0.000013152555,0.00011212597,0.0031532666,0.0006763002,0.00008463076],"about_ca_topic_score_codex":0.0015764105,"about_ca_topic_score_gemma":0.002460087,"teacher_disagreement_score":0.0075999526,"about_ca_system_score_codex":0.0003037808,"about_ca_system_score_gemma":0.0006815447,"threshold_uncertainty_score":0.46475595},"labels":[],"label_agreement":null},{"id":"W2796303078","doi":"10.1016/j.trf.2018.03.005","title":"Crossing road intersections in old age—With or without risks? Perceptions of risk and crossing behaviours among the elderly","year":2018,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":54,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; Université de Montréal","funders":"","keywords":"Perception; Context (archaeology); Vulnerability (computing); Cognition; Psychology; Human factors and ergonomics; Transport engineering; Poison control; Geography; Gerontology; Demography; Medicine; Environmental health; Computer security; Engineering; Computer science; Sociology","score_opus":0.10678177536767983,"score_gpt":0.45891309749667497,"score_spread":0.3521313221289951,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2796303078","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986464,0.000068160865,0.00013219705,0.0002533984,0.00012620256,0.00050498254,0.00006902278,0.000048449874,0.0001511795],"genre_scores_gemma":[0.9993108,0.000112766145,0.000117289506,0.00001674182,0.000083558596,0.00005633716,0.000025224828,0.000014027239,0.0002632423],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99777865,0.00047491217,0.00041562098,0.00047143566,0.0003793649,0.00048000622],"domain_scores_gemma":[0.9990919,0.00016625068,0.00012571357,0.0002314403,0.00023150141,0.00015315722],"candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0019121361,0.00014594164,0.00024030804,0.00023052447,0.0026123514,0.00024198991,0.00021180682,0.00020967908,0.00025662518],"category_scores_gemma":[0.00003827206,0.000101809725,0.000050347422,0.00071274413,0.010348053,0.0003742701,0.0000045507654,0.00071069,0.000001548554],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027330712,0.00022807802,0.930932,0.000007284832,0.000009932877,0.000017020388,0.055494055,0.0000054554125,0.000037317066,0.00002391059,0.00003468566,0.012936958],"study_design_scores_gemma":[0.0008392412,0.00037982702,0.9827812,0.00008717216,0.00006655141,0.0000013323664,0.015527049,0.00001403823,0.000013743561,0.00006202886,0.00010288207,0.0001249369],"about_ca_topic_score_codex":0.030036565,"about_ca_topic_score_gemma":0.66904986,"teacher_disagreement_score":0.6390133,"about_ca_system_score_codex":0.00002331438,"about_ca_system_score_gemma":0.00016895383,"threshold_uncertainty_score":0.99868613},"labels":[],"label_agreement":null},{"id":"W2797927319","doi":"10.1007/978-3-319-76623-2_9","title":"Examining the Relationship Between Commuting and it’s Impact on Overall Life Satisfaction","year":2018,"lang":"en","type":"book-chapter","venue":"Applying quality of life research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Life satisfaction; TRIPS architecture; Psychology; Transport engineering; Social psychology; Engineering","score_opus":0.5715783281006388,"score_gpt":0.5084655382782999,"score_spread":0.06311278982233892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2797927319","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.878058,0.00024238003,0.000032557535,0.0016116562,0.000066892164,0.00087893824,0.00006178238,0.000046091816,0.11900168],"genre_scores_gemma":[0.9892886,0.000071846844,0.000053974254,0.000109407294,0.00090409163,0.00002162889,0.00003240672,0.000031037864,0.009486982],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9948312,0.0013464023,0.0008316819,0.0004763165,0.0020110107,0.0005034019],"domain_scores_gemma":[0.9821278,0.016107481,0.00049809454,0.00060362683,0.00035153836,0.0003114792],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.021887269,0.0002314942,0.000540719,0.00021231428,0.0020647391,0.00019602361,0.0004996532,0.00047528924,0.00048403078],"category_scores_gemma":[0.0049460637,0.00017837892,0.00015403758,0.00014170096,0.0019439313,0.00021518019,0.00013703248,0.0016000048,0.000049237715],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006136571,0.000009533641,0.9641902,0.00013414025,0.00006833209,3.1493863e-7,0.0058098254,6.598509e-7,0.000002997728,0.026122924,0.0015005309,0.00209921],"study_design_scores_gemma":[0.0001827897,0.00008668218,0.94943726,0.0003137877,0.000021067783,3.2218992e-8,0.001837483,0.0000021251146,0.0000016225658,0.045207802,0.002722628,0.0001867137],"about_ca_topic_score_codex":0.01891536,"about_ca_topic_score_gemma":0.002726027,"teacher_disagreement_score":0.111230604,"about_ca_system_score_codex":0.00022570137,"about_ca_system_score_gemma":0.0007349377,"threshold_uncertainty_score":0.99923444},"labels":[],"label_agreement":null},{"id":"W2799286952","doi":"10.1016/j.pmedr.2018.04.010","title":"Pedestrian traffic safety and outdoor active play among 10–13 year olds living in a mid-sized city","year":2018,"lang":"en","type":"article","venue":"Preventive Medicine Reports","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Queen's University","funders":"","keywords":"Pedestrian; Traffic calming; Active living; Geography; Environmental health; Transport engineering; Injury prevention; Level design; Occupational safety and health; Poison control; Physical activity; Perception; Outdoor activity; Psychology; Demography; Medicine; Computer science; Engineering; Physical medicine and rehabilitation; Multimedia","score_opus":0.02025605507452632,"score_gpt":0.3131166364099943,"score_spread":0.292860581335468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2799286952","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9759884,0.00017430725,0.00009812757,0.00040945236,0.00042774147,0.0006515945,0.0000036110762,0.00007016153,0.02217663],"genre_scores_gemma":[0.99432755,0.00005832842,0.000033794502,0.000020608135,0.0005860479,0.00001814403,0.000008929829,0.0000130380095,0.004933554],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99758357,0.0003153713,0.0006401209,0.0005699572,0.00048783043,0.00040316515],"domain_scores_gemma":[0.99869484,0.00028697005,0.00039205496,0.00024988718,0.00015164044,0.00022463436],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0027436686,0.00018772422,0.00046429175,0.00012891626,0.00032711113,0.000027561386,0.0001356992,0.00014187543,0.0019030725],"category_scores_gemma":[0.0014588236,0.00015754181,0.00007825401,0.00044753306,0.0013446015,0.00037458044,0.00004665091,0.00022325933,0.000004023545],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009712877,0.00010398751,0.96267986,0.000022874849,0.000030786687,0.00012700792,0.031321395,4.0837747e-7,0.000033684726,0.000009934134,0.00015711797,0.0054157977],"study_design_scores_gemma":[0.000550674,0.00009844638,0.99207544,0.00036718033,0.00006132015,0.0000030747988,0.004118437,0.000009328874,0.000078420715,0.00038379055,0.002082005,0.00017188524],"about_ca_topic_score_codex":0.007417577,"about_ca_topic_score_gemma":0.05529516,"teacher_disagreement_score":0.047877584,"about_ca_system_score_codex":0.00014206299,"about_ca_system_score_gemma":0.00024427572,"threshold_uncertainty_score":0.9991921},"labels":[],"label_agreement":null},{"id":"W2799309590","doi":"10.1111/cag.12467","title":"A new tool for neighbourhood change research: The Canadian Longitudinal Census Tract Database, 1971–2016","year":2018,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Western University","funders":"Social Sciences and Humanities Research Council of Canada; Western University","keywords":"Census; Identifier; Census tract; Geography; Geocoding; Population; Neighbourhood (mathematics); Database; Computer science; Data set; Cartography; Data mining; Demography; Mathematics; Artificial intelligence","score_opus":0.11348032068764802,"score_gpt":0.3285574501332199,"score_spread":0.2150771294455719,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2799309590","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9000022,0.00614028,0.000021898995,0.04387642,0.0046767443,0.005282094,0.006499805,0.0002889897,0.033211596],"genre_scores_gemma":[0.99198204,0.0006524221,0.00029341452,0.0012289019,0.0037252496,0.0003900946,0.00033108113,0.000073617906,0.0013231743],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9932405,0.00031854116,0.00055409054,0.0010742313,0.00079496414,0.0040176846],"domain_scores_gemma":[0.99283206,0.00054990716,0.00015137914,0.001201846,0.001156721,0.0041081],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.002812309,0.0005068324,0.00046182878,0.0042195595,0.0105566885,0.0008365543,0.00198923,0.00041168858,0.0010466651],"category_scores_gemma":[0.0006656453,0.0004375728,0.00046068899,0.008711678,0.006773142,0.0009615904,0.000048187936,0.00064487866,0.000033046315],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006370572,0.000037982703,0.7263613,0.000051560994,0.00019217821,0.00011594405,0.013368663,1.7132919e-7,0.0000037522962,0.056551103,0.16422094,0.039032716],"study_design_scores_gemma":[0.00029857183,0.00014157951,0.4456195,0.00006586554,0.00007010061,0.0000044336357,0.0073341876,0.0000026250495,0.000005667755,0.0042648343,0.54169047,0.00050216384],"about_ca_topic_score_codex":0.9995098,"about_ca_topic_score_gemma":0.9999977,"teacher_disagreement_score":0.37746954,"about_ca_system_score_codex":0.0006007888,"about_ca_system_score_gemma":0.0055041164,"threshold_uncertainty_score":0.9998665},"labels":[],"label_agreement":null},{"id":"W2799442768","doi":"10.1177/0361198118777080","title":"Biking to Ride: Investigating the Challenges and Barriers of Integrating Cycling with Regional Rail Transit","year":2018,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Cycling; Transport engineering; Transit (satellite); Rail transit; Public transport; Business; Engineering; Geography","score_opus":0.15581597145646733,"score_gpt":0.41588280228701846,"score_spread":0.26006683083055115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2799442768","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9811112,0.00063143484,0.0010106743,0.015584325,0.00018506407,0.0008709621,0.000016098184,0.000020960886,0.0005692404],"genre_scores_gemma":[0.99575615,0.00086798286,0.0027219497,0.0001064634,0.0003602686,0.000034028188,0.0000023611972,0.000033514872,0.00011727496],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9923997,0.0015604823,0.0011768306,0.00042452582,0.0036371252,0.00080132124],"domain_scores_gemma":[0.9930302,0.0016553648,0.00048178257,0.0003617864,0.0038891046,0.00058179174],"candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.010249341,0.00021426307,0.00042244192,0.0005708777,0.0019490524,0.00013758222,0.0011280383,0.00015489354,0.00011760272],"category_scores_gemma":[0.00061583455,0.00013130419,0.00020420385,0.0021646183,0.003713039,0.0007338379,0.000006341617,0.0016220392,0.0000021063756],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016208423,0.00011347939,0.7023691,0.00034903272,0.00022521775,0.000032189284,0.2348053,0.00022428048,0.0050080437,0.029520858,0.00057152665,0.025160134],"study_design_scores_gemma":[0.00086074544,0.00071674096,0.91390973,0.0011209304,0.00006428161,2.7713696e-7,0.0660398,0.00004455367,0.0018194425,0.009047563,0.006173909,0.00020200561],"about_ca_topic_score_codex":0.018896252,"about_ca_topic_score_gemma":0.36605585,"teacher_disagreement_score":0.3471596,"about_ca_system_score_codex":0.00012511712,"about_ca_system_score_gemma":0.0011831559,"threshold_uncertainty_score":0.99935025},"labels":[],"label_agreement":null},{"id":"W2799959590","doi":"10.1016/j.compenvurbsys.2018.04.004","title":"Assessing the delineated commuter sheds of various clustering methods","year":2018,"lang":"en","type":"article","venue":"Computers Environment and Urban Systems","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Cluster analysis; Computer science; Artificial intelligence; Geography; Psychology","score_opus":0.04353754412179241,"score_gpt":0.34101390632058154,"score_spread":0.29747636219878915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2799959590","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5675725,0.0010746215,0.4276544,0.00019612988,0.0008739636,0.00031549914,0.0000020195534,0.000043511332,0.0022674014],"genre_scores_gemma":[0.99314785,0.000029801002,0.0060034934,0.000064665954,0.00045935062,0.0000061108817,0.0000033614278,0.000009225162,0.0002761649],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985582,0.00045756676,0.00033076445,0.00021950236,0.00021537548,0.00021859237],"domain_scores_gemma":[0.99929804,0.00017993753,0.00015020158,0.00027589998,0.0000215356,0.000074410505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013738389,0.00011746056,0.00022028385,0.000033752473,0.00051283266,0.00018788005,0.00029620493,0.0000765354,0.00003513398],"category_scores_gemma":[0.0000074339405,0.00008428108,0.000052490905,0.00009339594,0.0007111152,0.00022495323,0.000092528186,0.00009258834,0.000003852601],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021767117,0.00013067099,0.9228902,0.00011791194,0.00015004861,0.0000052416776,0.033705804,0.00024145306,0.0016115488,0.00069768424,0.0020267218,0.038400937],"study_design_scores_gemma":[0.0013487228,0.0002790585,0.5619861,0.00037829854,0.00023966371,0.0000057215293,0.009175273,0.14506626,0.00060218544,0.00026646568,0.27975532,0.00089690625],"about_ca_topic_score_codex":0.00088334613,"about_ca_topic_score_gemma":0.000043920474,"teacher_disagreement_score":0.42557538,"about_ca_system_score_codex":0.00004785878,"about_ca_system_score_gemma":0.000018643908,"threshold_uncertainty_score":0.3944346},"labels":[],"label_agreement":null},{"id":"W2800292421","doi":"10.22215/etd/2013-09925","title":"Modeling of Commuters’ Mode Choice and Office Location/Relocation Preferences of Business Firms for Informed Decision-Making and Planning: Applications of Stated Preference Methodology","year":2013,"lang":"en","type":"dissertation","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Relocation; Preference; Mode choice; Mode (computer interface); Telecommuting; Business; Transport engineering; Revealed preference; Marketing; Operations research; Geography; Computer science; Engineering; Economics; Econometrics; Microeconomics; Public transport","score_opus":0.12351866069878713,"score_gpt":0.40833747266992815,"score_spread":0.284818811971141,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2800292421","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7368163,0.00045742517,0.2609674,0.000009839688,0.000059316797,0.0010435686,0.000044195105,0.000017357488,0.00058462395],"genre_scores_gemma":[0.9692873,0.0002489274,0.029619187,0.0000046651526,0.000021450136,0.00019950992,0.0005103381,0.000010612045,0.000098014694],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99803996,0.00008501482,0.0011448205,0.00029748413,0.00027166633,0.00016104522],"domain_scores_gemma":[0.9939644,0.0021251368,0.0013229497,0.00022696677,0.0023109682,0.000049586244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070398627,0.0001707208,0.0005461821,0.00021917238,0.00018178266,0.000028986136,0.00032607574,0.0003076659,0.000020498324],"category_scores_gemma":[0.00157937,0.00015210625,0.000038078368,0.0005127725,0.00023096689,0.00042310753,0.000020614696,0.00011106865,1.2154872e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002183982,0.00092023774,0.239463,0.023652766,0.00063563127,8.9547505e-8,0.26291075,0.08585635,0.0021031012,0.017560534,0.00016558265,0.36454797],"study_design_scores_gemma":[0.0012340541,0.0001613852,0.7148554,0.003411673,0.00054234354,1.4725225e-7,0.06762893,0.16087799,0.0015000904,0.048860397,0.00012052124,0.00080707436],"about_ca_topic_score_codex":0.013515813,"about_ca_topic_score_gemma":0.023022797,"teacher_disagreement_score":0.4753924,"about_ca_system_score_codex":0.000023644998,"about_ca_system_score_gemma":0.0005894201,"threshold_uncertainty_score":0.9948045},"labels":[],"label_agreement":null},{"id":"W2800911426","doi":"10.1016/j.procs.2018.04.079","title":"Pro-Environmental Potential in Activity-Travel Routine of Individuals: A Data Driven Computational Algorithm","year":2018,"lang":"en","type":"article","venue":"Procedia Computer Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Acadia University","funders":"Horizon 2020 Framework Programme; European Commission","keywords":"Computer science; Variety (cybernetics); Constraint (computer-aided design); Perception; Travel behavior; Relation (database); Public transport; Algorithm; Transport engineering; Data mining; Artificial intelligence; Psychology","score_opus":0.03055425635606926,"score_gpt":0.30857182839200875,"score_spread":0.27801757203593946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2800911426","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8476605,0.00001422956,0.15113455,0.0002484069,0.00032222597,0.00029586678,0.0000658012,0.000027205564,0.00023123341],"genre_scores_gemma":[0.929153,0.0000027240185,0.07039039,0.000050585742,0.00036013336,0.0000043762916,0.000019705363,0.0000044942194,0.000014586826],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99773085,0.00005459222,0.00025688033,0.00062647753,0.00094827806,0.00038293167],"domain_scores_gemma":[0.9992981,0.000046076177,0.00014595313,0.0003028513,0.00008187815,0.00012517339],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013217217,0.00010859022,0.00016838827,0.00015408103,0.0003643162,0.00010484555,0.0015810055,0.000051626546,0.000048851816],"category_scores_gemma":[0.000034559165,0.0001060005,0.000025270081,0.0007713328,0.0025261766,0.001430215,0.0004344055,0.00012564131,0.000011399726],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014872493,0.00067372527,0.86622274,0.000021057003,0.000010614499,0.000005873557,0.012920404,0.000099458135,0.00067114,0.00050360366,0.0000807888,0.11877573],"study_design_scores_gemma":[0.00029207434,0.000058017937,0.8166455,0.000018452476,0.000005739496,7.6632205e-7,0.00013299746,0.18130395,0.00030852796,0.0010417909,0.0000636117,0.00012860022],"about_ca_topic_score_codex":0.00034011222,"about_ca_topic_score_gemma":0.0001889827,"teacher_disagreement_score":0.18120448,"about_ca_system_score_codex":0.00007697312,"about_ca_system_score_gemma":0.0006068631,"threshold_uncertainty_score":0.9307803},"labels":[],"label_agreement":null},{"id":"W2800961273","doi":"10.3390/ijerph15050897","title":"Neighbourhood Built Environment Influences on Physical Activity among Adults: A Systematized Review of Qualitative Evidence","year":2018,"lang":"en","type":"review","venue":"International Journal of Environmental Research and Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":194,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Canadian Institutes of Health Research","keywords":"Neighbourhood (mathematics); Built environment; Recreation; Socioeconomic status; Qualitative research; Walkability; Ethnic group; Urban design; Level design; Pedestrian; Urban planning; Psychology; Environmental health; Sociology; Medicine; Engineering; Transport engineering; Political science; Population; Civil engineering; Social science; Computer science","score_opus":0.3114431762450315,"score_gpt":0.5531404828375027,"score_spread":0.24169730659247124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2800961273","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.050303243,0.9461752,0.000015118204,0.0018515424,0.00016272526,0.000990818,0.00019336837,0.0000040942728,0.00030384635],"genre_scores_gemma":[0.18815221,0.81123775,0.00002893488,0.000053056985,0.00042606908,0.00003225283,0.0000109854955,0.000012327732,0.00004639255],"study_design_codex":"design_other","study_design_gemma":"systematic_review","domain_scores_codex":[0.9897697,0.0044810716,0.0011969154,0.00039095266,0.0036671849,0.00049415784],"domain_scores_gemma":[0.9942179,0.002661157,0.0020381224,0.0002465783,0.00021155302,0.0006247173],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013036871,0.0002522291,0.0013926396,0.00036383714,0.0002589879,0.00010792621,0.0011690045,0.00013180317,0.0004642091],"category_scores_gemma":[0.0019330652,0.00018011204,0.0004084439,0.00022963728,0.0017830841,0.0011511293,0.00015083636,0.0008789164,0.000023694258],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017978104,0.0029254558,0.00180734,0.05350723,0.00063407014,0.000028613584,0.015730407,5.8214255e-8,0.0000010236649,0.0005719806,0.00038759795,0.92422646],"study_design_scores_gemma":[0.00083519984,0.003342364,0.012923342,0.5626542,0.00013589018,0.000015642741,0.0071653468,0.0000032556711,0.0000031254929,0.0008397077,0.4115427,0.0005392031],"about_ca_topic_score_codex":0.0010336047,"about_ca_topic_score_gemma":0.00009703297,"teacher_disagreement_score":0.9236872,"about_ca_system_score_codex":0.0013943338,"about_ca_system_score_gemma":0.0017585715,"threshold_uncertainty_score":0.73447555},"labels":[],"label_agreement":null},{"id":"W2802470435","doi":"10.1177/0042098018760108","title":"A method for estimating localised space-use pattern and its applications in integrated land-use transport modelling","year":2018,"lang":"en","type":"article","venue":"Urban Studies","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; Ministry of Transportation of Ontario","funders":"Natural Science Foundation of Hubei Province; National Natural Science Foundation of China","keywords":"Space (punctuation); Land use; Mathematical optimization; Estimation; Population; Econometrics; Computer science; Mathematics; Economics; Civil engineering","score_opus":0.1026936829347867,"score_gpt":0.37668745555180605,"score_spread":0.27399377261701935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2802470435","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47153902,0.0006251776,0.5267082,0.0002207025,0.000060525024,0.00064890774,0.00005203927,0.00007355504,0.00007186983],"genre_scores_gemma":[0.9463711,0.00006191338,0.052773613,0.000063900916,0.00017439708,0.00016500926,0.000018356091,0.000012743192,0.0003589578],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99891496,0.000060642215,0.00027539773,0.00033335635,0.00013757091,0.0002780795],"domain_scores_gemma":[0.9989392,0.00053958176,0.00007887389,0.000110698864,0.00026610336,0.00006550969],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058046216,0.0001392375,0.00027958208,0.000068392976,0.00048607096,0.000054553708,0.000110159395,0.00006979853,0.0000067063684],"category_scores_gemma":[0.00012313951,0.0001161075,0.00004916033,0.00030053034,0.00023081538,0.0003739039,0.000012484061,0.00009351435,0.0000012686091],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032544594,0.00006733042,0.9567518,0.00008971036,0.000060575774,0.000001405353,0.03849576,0.0002587986,0.000020951933,0.00076866406,0.00016553544,0.0032868818],"study_design_scores_gemma":[0.0043047657,0.00029634652,0.21027155,0.00095085334,0.00071188994,6.29285e-7,0.036784895,0.6639614,0.0009955245,0.014375855,0.06529125,0.0020550024],"about_ca_topic_score_codex":0.0039452976,"about_ca_topic_score_gemma":0.02203283,"teacher_disagreement_score":0.7464803,"about_ca_system_score_codex":0.000049509603,"about_ca_system_score_gemma":0.000049288366,"threshold_uncertainty_score":0.99581254},"labels":[],"label_agreement":null},{"id":"W2802592240","doi":"","title":"What Should Canada’s Promised New National Accessibility Law Include?: A Discussion Paper","year":2018,"lang":"en","type":"article","venue":"Revue nationale de droit constitutionnel","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Law; Political science; Operations research; Computer science; Engineering","score_opus":0.04145766638207853,"score_gpt":0.3177230709955922,"score_spread":0.2762654046135137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2802592240","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34084132,0.00081211084,0.007982762,0.11280608,0.005779637,0.0025552774,0.00034227822,0.0005060091,0.52837455],"genre_scores_gemma":[0.9868726,0.000022167593,0.0005882054,0.0028024048,0.001628516,0.00003336999,0.000113548245,0.00000866345,0.0079305135],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99757236,0.00011263469,0.000426656,0.00047604626,0.0010400797,0.00037220985],"domain_scores_gemma":[0.998259,0.00016350315,0.00016149183,0.00021305059,0.0008838337,0.0003191225],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011146914,0.00015431985,0.00019317995,0.00007044028,0.0014632473,0.00027925445,0.0004533828,0.00019033495,0.001699296],"category_scores_gemma":[0.0007756327,0.00013953957,0.0000944245,0.0004290832,0.0010326474,0.0022641504,0.000044452336,0.00021056377,0.000030126803],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005713237,0.00017867755,0.031172683,0.000037689646,0.000033624285,0.0000075582684,0.0024494946,0.000036757097,0.00026267083,0.9570429,0.0067353486,0.0019854845],"study_design_scores_gemma":[0.001494923,0.000025795727,0.1587348,0.00027940734,0.000055913548,0.000006370519,0.0014829452,0.0004677311,0.0005959161,0.34342247,0.49278075,0.00065298256],"about_ca_topic_score_codex":0.21889766,"about_ca_topic_score_gemma":0.9298012,"teacher_disagreement_score":0.7109036,"about_ca_system_score_codex":0.0020035242,"about_ca_system_score_gemma":0.013216201,"threshold_uncertainty_score":0.9998367},"labels":[],"label_agreement":null},{"id":"W2802826514","doi":"10.1513/annalsats.201708-693oc","title":"Associations between Neighborhood Walkability and Incident and Ongoing Asthma in Children","year":2018,"lang":"en","type":"article","venue":"Annals of the American Thoracic Society","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Public Health Ontario; University of Toronto; Institute for Clinical Evaluative Sciences; SickKids Foundation; Hospital for Sick Children","funders":"Institute for Clinical Evaluative Sciences","keywords":"Walkability; Medicine; Asthma; Cohort; Hazard ratio; Population; Cohort study; Body mass index; Confidence interval; Environmental health; Demography; Physical therapy; Physical activity; Internal medicine","score_opus":0.056832099934767046,"score_gpt":0.39324753727269823,"score_spread":0.33641543733793117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2802826514","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957489,0.00013259138,0.000027768054,0.0032571433,0.000025642707,0.00021498397,0.00005278607,0.000022971772,0.00051721634],"genre_scores_gemma":[0.9989929,0.00012630552,0.00021573585,0.0004606766,0.00016542176,0.0000033619733,0.0000036791673,0.0000064497617,0.000025454476],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99861974,0.0002892872,0.0002775981,0.00025603673,0.00028454588,0.00027280112],"domain_scores_gemma":[0.99897593,0.00023574557,0.0003557555,0.00022491234,0.00012191335,0.00008573091],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017800874,0.00009600729,0.0002886736,0.000019152334,0.00045340942,0.000040477757,0.0002616804,0.000060294573,0.00001148182],"category_scores_gemma":[0.00029465626,0.00007877667,0.0001308843,0.000587494,0.0020566436,0.0002103096,0.000103531085,0.00017561128,8.371461e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000043817226,0.00003228627,0.97148645,0.000003236888,0.000032277694,2.5152293e-8,0.008101171,1.1408412e-7,0.000016129203,0.000057290985,0.00010385485,0.020162793],"study_design_scores_gemma":[0.000059353802,0.000036119116,0.99432707,0.000013853222,0.000016511185,5.7226224e-8,0.0015835776,0.000007696252,0.00022093966,0.0035864473,0.000058804526,0.000089562905],"about_ca_topic_score_codex":0.012786377,"about_ca_topic_score_gemma":0.0028848816,"teacher_disagreement_score":0.022840638,"about_ca_system_score_codex":0.00003948903,"about_ca_system_score_gemma":0.00011036438,"threshold_uncertainty_score":0.9937876},"labels":[],"label_agreement":null},{"id":"W2802993661","doi":"10.1080/09638288.2018.1471165","title":"Pedestrian navigation and public transit training interventions for youth with disabilities: a systematic review","year":2018,"lang":"en","type":"review","venue":"Disability and Rehabilitation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Rehabilitation Institute; University of Toronto; Holland Bloorview Kids Rehabilitation Hospital","funders":"Ontario Ministry of Research and Innovation","keywords":"Pedestrian; Psychological intervention; Public transport; Applied psychology; Psychology; Physical medicine and rehabilitation; Training (meteorology); Medical education; Medicine; Nursing; Transport engineering; Engineering; Geography","score_opus":0.15256171912950173,"score_gpt":0.4033275725105461,"score_spread":0.25076585338104435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2802993661","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0027054779,0.98488563,0.000472666,0.00090930326,0.00011971684,0.010268285,0.0004149352,0.000107906184,0.00011605477],"genre_scores_gemma":[0.019411657,0.97582835,0.0005975825,0.000021755875,0.00016901792,0.0031188885,0.00074087176,0.000040960316,0.000070910195],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9955828,0.0012970006,0.0014823935,0.0008727174,0.00036741016,0.000397677],"domain_scores_gemma":[0.9950025,0.0034408958,0.0005405896,0.0004909802,0.00028585325,0.00023919168],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0043116566,0.00040766515,0.002134994,0.00007673665,0.00079661986,0.0002335391,0.00024064408,0.00031138788,0.000037066864],"category_scores_gemma":[0.0040467004,0.00029260237,0.0008142972,0.0004996069,0.004167524,0.00069448503,0.000018374416,0.0002249821,0.0000018868193],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009872942,0.00016288905,0.0007882364,0.94847757,0.00008295433,5.9387038e-8,0.02482679,1.2632572e-8,2.2980111e-9,0.001050542,0.000011326318,0.024589742],"study_design_scores_gemma":[0.0003908881,0.0005563322,0.00016980479,0.8930421,0.0056651565,0.00000184385,0.07731942,0.00000304534,6.5476886e-9,0.003006087,0.01922065,0.0006246992],"about_ca_topic_score_codex":0.00033055258,"about_ca_topic_score_gemma":0.0027614553,"teacher_disagreement_score":0.055435512,"about_ca_system_score_codex":0.00025205308,"about_ca_system_score_gemma":0.00033422324,"threshold_uncertainty_score":0.9999526},"labels":[],"label_agreement":null},{"id":"W2803000399","doi":"10.1016/j.tbs.2018.04.004","title":"Children’s life satisfaction and travel satisfaction: Evidence from Canada, Japan, and Sweden","year":2018,"lang":"en","type":"article","venue":"Travel Behaviour and Society","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":53,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"VINNOVA","keywords":"Life satisfaction; Destinations; Psychology; Path analysis (statistics); Travel behavior; Structural equation modeling; Demography; Social psychology; Geography; Tourism; Transport engineering; Engineering; Sociology; Mathematics","score_opus":0.02807073786689964,"score_gpt":0.28342027811907333,"score_spread":0.2553495402521737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2803000399","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977509,0.00072971603,0.00009469441,0.0006798515,0.00022732804,0.00023828946,0.000108303335,0.000031835945,0.00013910525],"genre_scores_gemma":[0.99803555,0.000795389,0.00025345708,0.00024101535,0.0004876052,0.000008093518,0.000011825903,0.0000104243645,0.00015666692],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986183,0.00006551996,0.00022887648,0.00044637296,0.00035429164,0.00028662162],"domain_scores_gemma":[0.9992802,0.0000977775,0.000081766615,0.00013655619,0.00007851774,0.00032514436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032433582,0.00016967027,0.00022720381,0.000012696763,0.001223278,0.00014246334,0.000071978415,0.0001811345,0.00017437816],"category_scores_gemma":[0.000030634525,0.00016438728,0.00005377663,0.00010020331,0.0006790966,0.00042389173,0.000021404809,0.00020413888,0.0000013226929],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000871882,0.000008040134,0.9806473,0.000005849475,0.000022421724,4.789518e-7,0.01472502,1.908849e-8,0.00017303998,0.000036347836,0.0006269932,0.00374574],"study_design_scores_gemma":[0.0003040324,0.000031752537,0.9917798,0.000028645849,0.00010133744,0.0000010308004,0.0073051057,0.000008812181,0.000109032786,0.00010547115,0.000018058628,0.0002069113],"about_ca_topic_score_codex":0.9480308,"about_ca_topic_score_gemma":0.93099385,"teacher_disagreement_score":0.01703698,"about_ca_system_score_codex":0.00009491045,"about_ca_system_score_gemma":0.00031824555,"threshold_uncertainty_score":0.94085896},"labels":[],"label_agreement":null},{"id":"W2803075561","doi":"10.2196/resprot.9505","title":"One Step Forward: Development of a Program Promoting Active School Transportation","year":2018,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Luleå Tekniska Universitet; Luleå Kommun","keywords":"Intervention (counseling); Context (archaeology); Empowerment; Psychological intervention; Process (computing); Process management; Intervention mapping; Medical education; Psychology; Physical activity; Data collection; Plan (archaeology); Program evaluation; Applied psychology; Medicine; Health promotion; Engineering; Computer science; Nursing; Public health; Physical therapy; Political science; Sociology","score_opus":0.23804551465726537,"score_gpt":0.5572378143414572,"score_spread":0.3191922996841919,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2803075561","genre_codex":"protocol","genre_gemma":"protocol","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"protocol","genre_consensus":"protocol","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38163644,0.0000015262591,0.00014425995,0.00015777642,0.000005771417,0.6061844,0.000009897295,0.00014485024,0.011715077],"genre_scores_gemma":[0.38385272,9.357863e-8,0.00613869,0.0000033257263,0.00014696861,0.6095568,0.000009145924,0.000010604087,0.00028163788],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99678975,0.0003169185,0.00044605223,0.0003699252,0.0014225163,0.00065482175],"domain_scores_gemma":[0.9982086,0.000071348084,0.0001449241,0.00023403863,0.0010777414,0.000263364],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027437215,0.00010188057,0.00019268271,0.0001456702,0.0008128418,0.0001018205,0.00048082098,0.00013111945,0.00060963456],"category_scores_gemma":[0.00017956631,0.00009781069,0.000060776176,0.00088408403,0.00080014305,0.00051149615,0.000021939559,0.00035509947,0.00005391424],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007480491,0.0028879368,0.14207137,0.0007312927,0.00005070546,0.0000025078639,0.08658031,4.514552e-8,0.0057389443,0.0008612109,0.00022347612,0.7601042],"study_design_scores_gemma":[0.0013210437,0.0012733801,0.6523595,0.0018413067,0.0000039375445,2.8578128e-8,0.0066575343,0.000015211279,0.07348532,0.0023703433,0.26038042,0.0002919715],"about_ca_topic_score_codex":0.0003622317,"about_ca_topic_score_gemma":0.0056931064,"teacher_disagreement_score":0.7598122,"about_ca_system_score_codex":0.00018851439,"about_ca_system_score_gemma":0.0015663087,"threshold_uncertainty_score":0.6675071},"labels":[],"label_agreement":null},{"id":"W2803306279","doi":"10.5539/mas.v12n6p70","title":"Making Accessibility Visible: Visualizing Spatial Accessibility Through Multi-Dimensional Scaling Model","year":2018,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universidad Tecnológica de Pereira","keywords":"Metropolitan area; Computer science; TRIPS architecture; Intersection (aeronautics); Multidimensional scaling; Transport engineering; Mode (computer interface); Relation (database); Regional science; Scale (ratio); Geography; Cartography; Data mining; Machine learning","score_opus":0.11226840722415266,"score_gpt":0.4152151751519071,"score_spread":0.30294676792775443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2803306279","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.578302,0.00003745341,0.40482834,0.000100373014,0.00037459287,0.0005127355,0.000013015617,0.00029114293,0.015540334],"genre_scores_gemma":[0.96884996,0.000002632709,0.02986307,0.00060741475,0.00046894318,0.000042631294,0.0000058151777,0.000029897628,0.00012961289],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9931813,0.00012609527,0.0008400314,0.0021331026,0.0022411053,0.0014783794],"domain_scores_gemma":[0.99742836,0.00013342599,0.00037053737,0.0010669014,0.00063165283,0.00036910607],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0051738485,0.00040497273,0.0004717556,0.00017512625,0.004896582,0.00083076605,0.0024090789,0.0002501941,0.00031906462],"category_scores_gemma":[0.0003385392,0.0003775493,0.00014729325,0.0018124254,0.0064068013,0.002676869,0.0005733608,0.00043933437,0.000059053913],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008107716,0.0024561065,0.32985237,0.00022261725,0.000056286615,0.000015587548,0.10323692,0.0032540776,0.44289455,0.0222155,0.00014365454,0.09484156],"study_design_scores_gemma":[0.0007713665,0.00002547199,0.0985084,0.0000665496,0.00003433644,3.984847e-7,0.00073930656,0.82164776,0.016507033,0.060794733,0.00010648449,0.0007981614],"about_ca_topic_score_codex":0.0015403994,"about_ca_topic_score_gemma":0.0035331242,"teacher_disagreement_score":0.8183937,"about_ca_system_score_codex":0.00055437966,"about_ca_system_score_gemma":0.0018073047,"threshold_uncertainty_score":0.9998676},"labels":[],"label_agreement":null},{"id":"W2803383717","doi":"10.1016/j.econlet.2018.05.021","title":"US hours at work","year":2018,"lang":"en","type":"article","venue":"Economics Letters","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bank of Canada; Western University","funders":"","keywords":"Current Population Survey; Work (physics); Construct (python library); Econometrics; Population; Work hours; Computer science; Operations research; Statistics; Economics; Demography; Mathematics; Engineering; Sociology; Mechanical engineering","score_opus":0.01766694613159035,"score_gpt":0.2496494345320553,"score_spread":0.23198248840046495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2803383717","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95924646,0.000014528513,0.00002352063,0.0067319195,0.0007976543,0.00007147101,0.0000034295822,0.000049056704,0.033061985],"genre_scores_gemma":[0.99250984,0.000008178097,0.00018408042,0.004892785,0.0010091494,0.0000029519545,0.0000034055286,0.0000076851575,0.0013819513],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993763,0.000022612261,0.00012049347,0.00019281935,0.000040660394,0.00024711355],"domain_scores_gemma":[0.9996644,0.000027091124,0.00005210226,0.00016065255,0.00001093061,0.00008478481],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023896365,0.00006226152,0.00008530633,0.000024148627,0.0002632646,0.000055597062,0.00022217087,0.000045273624,0.0008166069],"category_scores_gemma":[0.0000088258985,0.00006790784,0.000056781693,0.00006990178,0.00044876026,0.00017190336,0.000019363823,0.000050103863,0.0005450264],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000130664475,0.000007413231,0.98013544,6.783756e-7,0.00000782582,0.0000010297128,0.001722435,0.00000394176,0.00005012314,0.00026256483,0.017023567,0.00077189686],"study_design_scores_gemma":[0.00017507147,0.000008856883,0.70273226,0.0000048297716,0.000008971202,7.500249e-8,0.00010854826,0.0000030192875,0.00032551162,0.00040029705,0.2960359,0.00019667894],"about_ca_topic_score_codex":0.0005963396,"about_ca_topic_score_gemma":0.005414007,"teacher_disagreement_score":0.27901232,"about_ca_system_score_codex":0.00017068119,"about_ca_system_score_gemma":0.000030112149,"threshold_uncertainty_score":0.8941273},"labels":[],"label_agreement":null},{"id":"W2803478723","doi":"10.7939/r3k598","title":"The role of place promotion and urban image in the development and marketing of rapid mass transit systems (RMT)","year":2011,"lang":"en","type":"article","venue":"University of Alberta Library","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Promotion (chess); Business; Marketing; Transit (satellite); Advertising; Political science; Public transport; Transport engineering; Engineering","score_opus":0.010438696862158056,"score_gpt":0.17621120684364278,"score_spread":0.1657725099814847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2803478723","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95695555,0.00033023578,0.000009103156,0.0002015066,0.000012037814,0.00016992226,0.000001510534,0.000003750433,0.04231637],"genre_scores_gemma":[0.9990616,0.000064433,0.00037831973,0.0000017024961,0.000004635048,1.3249216e-7,0.0000019236306,0.0000019237298,0.00048536094],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994122,0.00019409729,0.00011687026,0.000088963025,0.00010519894,0.000082708924],"domain_scores_gemma":[0.9995728,0.00022325834,0.00009351609,0.000073435884,0.0000134788315,0.000023500328],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005058623,0.00004290996,0.00009424988,0.00002859574,0.00015424147,0.000009964125,0.00019831746,0.000037385777,0.000038143444],"category_scores_gemma":[0.000011520171,0.00003193184,0.000019172712,0.00010553227,0.00032395174,0.00042307813,0.000017459539,0.00004576078,1.273441e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016537948,0.000056755,0.80607986,0.00009628801,0.000016409404,0.0000012013712,0.18984804,1.6207656e-7,0.00015425288,0.0018922634,0.000045540306,0.0016438831],"study_design_scores_gemma":[0.00031364485,0.00003711505,0.9018515,0.00010145216,0.000021276814,1.4806085e-7,0.09116187,0.00005398116,0.0013957556,0.00025609694,0.004729394,0.00007778782],"about_ca_topic_score_codex":0.0030039242,"about_ca_topic_score_gemma":0.0022030813,"teacher_disagreement_score":0.098686166,"about_ca_system_score_codex":0.0000047512644,"about_ca_system_score_gemma":0.00007120742,"threshold_uncertainty_score":0.45410547},"labels":[],"label_agreement":null},{"id":"W2803609509","doi":"10.1155/2018/6701484","title":"Efficiency Assessment of Transit-Oriented Development by Data Envelopment Analysis: Case Study on the Den-en Toshi Line in Japan","year":2018,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":59,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Data envelopment analysis; Transport engineering; Benchmarking; Public transport; Sustainability; Modal shift; Transit-oriented development; Engineering; Computer science; Business; Statistics; Mathematics","score_opus":0.03420593838284651,"score_gpt":0.37183176619238284,"score_spread":0.3376258278095363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2803609509","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9859729,0.000051342577,0.012962582,0.00028321598,0.00016998277,0.00045318366,0.00002731197,0.000008262373,0.00007126364],"genre_scores_gemma":[0.9973491,0.000023958753,0.0024586178,0.000030325553,0.000054299628,0.0000074406053,0.000051917486,0.0000071095924,0.00001722451],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972902,0.00020866194,0.0011420079,0.00027375753,0.00087163073,0.00021377513],"domain_scores_gemma":[0.99856794,0.00017169802,0.00057418,0.00028715047,0.00030828587,0.00009077304],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002618695,0.00014263105,0.00035763544,0.00024068178,0.00025078922,0.000020103835,0.00047891238,0.00005474768,0.000060178478],"category_scores_gemma":[0.000042384832,0.000102313,0.00008491693,0.0012168358,0.00013744859,0.0004904178,0.0000041082676,0.00023924897,4.3074803e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002146252,0.0024563516,0.82600945,0.00001701442,0.00044549338,0.0001993568,0.15885678,0.0035158112,0.0008242279,0.00008728034,0.000013329791,0.0073602633],"study_design_scores_gemma":[0.0010487183,0.0004100671,0.9307917,0.00004839516,0.00035119973,0.0000011780893,0.06585695,0.000077396784,0.00078432885,0.000020805679,0.0004816709,0.00012758715],"about_ca_topic_score_codex":0.0004668991,"about_ca_topic_score_gemma":0.035229217,"teacher_disagreement_score":0.10478224,"about_ca_system_score_codex":0.00013948724,"about_ca_system_score_gemma":0.00041963096,"threshold_uncertainty_score":0.9823753},"labels":[],"label_agreement":null},{"id":"W2803814784","doi":"10.1016/j.jth.2018.05.012","title":"Facilitators and barriers to winter cycling: Case study of a downtown university in Toronto, Canada","year":2018,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":53,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Cycling; Downtown; Geography; Logistic regression; Poison control; Transport engineering; Socioeconomics; Environmental health; Engineering; Medicine; Forestry; Sociology","score_opus":0.0177001462836341,"score_gpt":0.3155440299196211,"score_spread":0.297843883635987,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2803814784","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981155,0.00012473225,0.00003839946,0.0007501208,0.00021168229,0.0002500812,0.000025992204,0.0000037332134,0.0004797916],"genre_scores_gemma":[0.99959505,0.000031881063,0.00009973404,0.00015619914,0.00006366503,1.8110299e-7,2.436636e-7,0.0000035889352,0.00004947049],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985522,0.00013423152,0.0005462934,0.00015010497,0.00036484026,0.00025233364],"domain_scores_gemma":[0.99878573,0.000036790978,0.0002225749,0.00009915868,0.00016257087,0.00069318287],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012479596,0.00008631199,0.00034444107,0.0000738791,0.00024031306,0.000005377548,0.0001746327,0.00004019791,0.00028786337],"category_scores_gemma":[0.000027769507,0.00007976881,0.00004711564,0.00021546143,0.00013341403,0.00028044762,0.000004530989,0.00014432732,7.573612e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015794918,0.00008110395,0.91155636,0.000023479579,0.00001859607,0.0006598692,0.086265475,0.0000037887573,0.00000384173,0.000009851248,0.00008063702,0.0011390494],"study_design_scores_gemma":[0.0007495621,0.00067219,0.74763054,0.000047265305,0.000020861873,0.000013463146,0.24700943,8.9795236e-7,0.0000044935855,0.0000073381984,0.0037625816,0.00008136047],"about_ca_topic_score_codex":0.98407906,"about_ca_topic_score_gemma":0.9996298,"teacher_disagreement_score":0.16392581,"about_ca_system_score_codex":0.00077165454,"about_ca_system_score_gemma":0.0029337802,"threshold_uncertainty_score":0.52044004},"labels":[],"label_agreement":null},{"id":"W2804374694","doi":"10.1016/j.tra.2018.03.030","title":"Equity in practice? Evaluations of equity in planning for bus rapid transit","year":2018,"lang":"en","type":"article","venue":"Transportation Research Part A Policy and Practice","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":56,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; University of Manitoba","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Bus rapid transit; Equity (law); CLARITY; Public economics; Business; Transportation planning; Metropolitan area; Public transport; Economics; Finance; Transport engineering; Political science; Engineering; Geography","score_opus":0.41511504490121065,"score_gpt":0.6258308872487326,"score_spread":0.21071584234752194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2804374694","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7952088,0.0010776059,0.0028707038,0.0453437,0.0002016652,0.0035548278,0.0003526544,0.00006687214,0.15132315],"genre_scores_gemma":[0.9972986,0.0004051728,0.0013823905,0.00026262307,0.00030165917,0.00013701896,0.00005403764,0.000010122193,0.0001483656],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99622273,0.0012143839,0.0005952486,0.00036076992,0.00096976093,0.000637114],"domain_scores_gemma":[0.9925378,0.005984411,0.00019070064,0.00018303537,0.00093456975,0.00016946218],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01742552,0.00010931222,0.00022985306,0.00040832916,0.00049058767,0.00008004142,0.00024419517,0.000156678,0.00014166466],"category_scores_gemma":[0.008505959,0.00011637041,0.00005085394,0.0014691671,0.0008089082,0.0019091145,0.000009901571,0.00039369828,0.000004299749],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0119275125,0.0028274835,0.12944208,0.0008990361,0.00016539439,0.00006259176,0.4914256,0.0003259967,0.0020609263,0.27425438,0.0014684168,0.085140586],"study_design_scores_gemma":[0.00379322,0.00082671794,0.6003291,0.000342931,0.00015233288,9.894325e-7,0.039465364,0.00033057175,0.00079173455,0.026504925,0.32704374,0.00041838904],"about_ca_topic_score_codex":0.034801405,"about_ca_topic_score_gemma":0.07030995,"teacher_disagreement_score":0.470887,"about_ca_system_score_codex":0.00014275852,"about_ca_system_score_gemma":0.0015160086,"threshold_uncertainty_score":0.9998458},"labels":[],"label_agreement":null},{"id":"W2804719172","doi":"10.1186/s12889-018-5268-1","title":"Development of a measurement approach to assess time children participate in organized sport, active travel, outdoor active play, and curriculum-based physical activity","year":2018,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Queen's University; Heart and Stroke Foundation of Canada","keywords":"Biostatistics; Accelerometer; Physical activity; Curriculum; Sample (material); Global Positioning System; Medicine; Computer science; Physical therapy; Public health; Psychology; Nursing","score_opus":0.12720848411194302,"score_gpt":0.3624594257183997,"score_spread":0.23525094160645665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2804719172","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9943851,0.0000047938947,0.0026735747,0.00054132467,0.000041288265,0.001244504,0.000026728134,0.000046771565,0.0010359087],"genre_scores_gemma":[0.99641573,6.5459045e-7,0.0032537356,0.0000837416,0.00011160124,0.00008819231,0.00001793474,0.000014441793,0.000013968732],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971928,0.0003324236,0.0003786711,0.0005470478,0.00084270525,0.00070634705],"domain_scores_gemma":[0.9986548,0.000043670374,0.00026099366,0.00020979451,0.0002763937,0.00055438624],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027405713,0.00019686732,0.00054042204,0.00014379763,0.00036123852,0.00005628348,0.0002710263,0.00008816317,0.000038362316],"category_scores_gemma":[0.00018606488,0.00017392513,0.000050570827,0.0008400862,0.0002617966,0.0003824059,0.0000416741,0.0001849272,0.000008913879],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040271287,0.010021296,0.8228752,0.00016867275,0.00010007111,8.0344967e-7,0.11906787,0.0000025357176,0.0009595176,0.0005941162,0.000102987084,0.045704223],"study_design_scores_gemma":[0.00084183743,0.000093334274,0.99442637,0.000029424113,0.000008623709,7.934293e-8,0.0014996764,0.0002109219,0.0024444861,0.00001976815,0.00023002368,0.00019544072],"about_ca_topic_score_codex":0.0040827314,"about_ca_topic_score_gemma":0.009495904,"teacher_disagreement_score":0.1715512,"about_ca_system_score_codex":0.00074506283,"about_ca_system_score_gemma":0.005160034,"threshold_uncertainty_score":0.9153679},"labels":[],"label_agreement":null},{"id":"W2804769783","doi":"10.1177/0361198118776522","title":"Park ‘n’ Roll: Identifying and Prioritizing Locations for New Bicycle Parking in Québec City, Canada","year":2018,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Transport engineering; Destinations; Prioritization; Parking guidance and information; Service (business); Car parking; Park and ride; Term (time); Business; Computer science; Engineering; Geography; Public transport; Tourism; Marketing","score_opus":0.15288765888402564,"score_gpt":0.4384701554904957,"score_spread":0.28558249660647006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2804769783","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9868282,0.00042668203,0.0014114899,0.009417756,0.00050010014,0.0010915457,0.000033267355,0.000017080289,0.0002738789],"genre_scores_gemma":[0.99678105,0.00032620036,0.0012814491,0.000059634753,0.00053258636,0.000043693177,0.0000075749986,0.000029111612,0.00093872263],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99422586,0.0007089626,0.0011678498,0.00040719484,0.002552442,0.0009377078],"domain_scores_gemma":[0.99513704,0.0013878606,0.00033132546,0.00028175605,0.002375172,0.00048682463],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0056504845,0.00017329911,0.00035829772,0.0005999343,0.0017161317,0.00022884815,0.0008707516,0.0001457557,0.00016478052],"category_scores_gemma":[0.00042749173,0.0001507048,0.00017035744,0.0018670035,0.0010236166,0.0008565505,0.0000061345954,0.0011178745,0.0000017022129],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037790881,0.00007058812,0.9771349,0.00010762754,0.000039982704,0.000020698453,0.011297783,0.000023358947,0.00046051142,0.0010317549,0.0025938596,0.0068410486],"study_design_scores_gemma":[0.0010338378,0.00013308434,0.9521899,0.0003084051,0.000028954788,6.455368e-8,0.0074561215,0.00004289861,0.00035974104,0.0063766288,0.031916272,0.00015405352],"about_ca_topic_score_codex":0.9792113,"about_ca_topic_score_gemma":0.9996751,"teacher_disagreement_score":0.029322412,"about_ca_system_score_codex":0.0006521834,"about_ca_system_score_gemma":0.0076592425,"threshold_uncertainty_score":0.9995835},"labels":[],"label_agreement":null},{"id":"W2804913410","doi":"10.1007/s40279-018-0934-0","title":"Understanding Physical Activity through Interactions Between the Built Environment and Social Cognition: A Systematic Review","year":2018,"lang":"en","type":"review","venue":"Sports Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":96,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Sports medicine; Cognition; Physical activity; Social cognition; Psychology; Cognitive psychology; Applied psychology; Medicine; Neuroscience; Physical medicine and rehabilitation; Physical therapy","score_opus":0.26588140450263664,"score_gpt":0.4273075320796774,"score_spread":0.16142612757704078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2804913410","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00004830501,0.99018097,0.000276684,0.002408278,0.00027354105,0.002473165,0.000030632193,0.000046464982,0.004261975],"genre_scores_gemma":[0.0141886985,0.9826684,0.0000036670706,0.00012941688,0.0024563067,0.00012965796,0.00007674261,0.000020568994,0.0003265248],"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","domain_scores_codex":[0.99759394,0.00041610748,0.0005565728,0.0004157042,0.0007461856,0.00027147593],"domain_scores_gemma":[0.99833894,0.00049109396,0.0007538861,0.0003024644,0.000030700365,0.00008293718],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014206287,0.00031229793,0.0021247177,0.000038385246,0.00094350113,0.000028961182,0.00027134258,0.00012834847,0.0003940673],"category_scores_gemma":[0.000096600874,0.00017246862,0.0003001146,0.0002538513,0.0015009487,0.00021359371,0.00004374599,0.000452851,0.000017546818],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003099158,0.00011373934,0.00013383162,0.9499011,0.00041975084,0.00001866079,0.0082537895,1.4500979e-9,2.08864e-8,0.00090103934,0.00325446,0.03700048],"study_design_scores_gemma":[0.00010429299,0.000027264101,0.00018907846,0.4825138,0.013416342,0.000003343119,0.0014031836,1.4308496e-7,3.5884074e-8,0.0021619762,0.49989584,0.00028472865],"about_ca_topic_score_codex":0.00018304778,"about_ca_topic_score_gemma":0.00007662454,"teacher_disagreement_score":0.49664137,"about_ca_system_score_codex":0.00030058948,"about_ca_system_score_gemma":0.00014215663,"threshold_uncertainty_score":0.72567433},"labels":[],"label_agreement":null},{"id":"W2805506413","doi":"10.1080/14733285.2018.1482409","title":"Eyes on the alley: children’s appropriation of alley space in Riverdale, Toronto","year":2018,"lang":"en","type":"article","venue":"Children s Geographies","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Appropriation; Alley; Neighbourhood (mathematics); Situated; Space (punctuation); Psychology; Context (archaeology); Social psychology; Sociology; Developmental psychology; Geography","score_opus":0.009484779246436351,"score_gpt":0.25736934894443375,"score_spread":0.2478845696979974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2805506413","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9824765,0.00073204964,0.000011070514,0.0011425586,0.00015058223,0.00055308855,0.00002226382,0.00006218023,0.014849753],"genre_scores_gemma":[0.99866015,0.00058609917,0.000083834486,0.0001214152,0.00036318912,0.000017827351,0.000022998285,0.000010327851,0.00013416965],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984721,0.00016292835,0.0002760954,0.00032932992,0.00043667623,0.00032284713],"domain_scores_gemma":[0.9992146,0.000093359115,0.0001598077,0.00036910214,0.00010174691,0.0000613747],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007197892,0.00015911687,0.0002114506,0.00011981298,0.0004429034,0.000051064366,0.00052342983,0.000121131074,0.00044458354],"category_scores_gemma":[0.000083957624,0.00011440553,0.00014047105,0.0005667238,0.0012941892,0.0003066136,0.000037343325,0.00013117526,0.000014050837],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003536965,0.00012930011,0.98026514,0.0000026069329,0.000042655593,1.4576734e-7,0.007718525,0.0000011848934,0.000014183161,0.0100249415,0.00068729674,0.0010786215],"study_design_scores_gemma":[0.0002533983,0.000072194634,0.9945515,0.000028809998,0.000017983593,8.038343e-8,0.0011787809,0.000001411752,0.00031155584,0.0030066378,0.00043557593,0.00014208746],"about_ca_topic_score_codex":0.04498311,"about_ca_topic_score_gemma":0.14761028,"teacher_disagreement_score":0.10262716,"about_ca_system_score_codex":0.000035375615,"about_ca_system_score_gemma":0.000047105183,"threshold_uncertainty_score":0.9613764},"labels":[],"label_agreement":null},{"id":"W2806716314","doi":"10.1016/j.tbs.2018.05.005","title":"Appearance and behaviour: Are cyclist physical attributes reflective of their preferences and habits?","year":2018,"lang":"en","type":"article","venue":"Travel Behaviour and Society","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Typology; Casual; Sample (material); Cycling; Psychology; Cluster (spacecraft); Work (physics); Clothing; Causality (physics); Transport engineering; Social psychology; Econometrics; Engineering; Computer science; Mathematics; Geography","score_opus":0.03772171409353899,"score_gpt":0.3175703885948787,"score_spread":0.2798486745013397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2806716314","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983066,0.00038570946,0.000049137383,0.00017480813,0.000049571805,0.00021069561,0.000121355835,0.000032906024,0.00066924153],"genre_scores_gemma":[0.9992948,0.00023292645,0.00013805194,0.00003303466,0.00015472737,0.000009793198,0.000005739896,0.000008155692,0.00012275323],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99890053,0.00006821133,0.0001806152,0.0003723384,0.00021131206,0.00026699484],"domain_scores_gemma":[0.99942374,0.000057317695,0.0001171396,0.000121225006,0.0001428161,0.0001377579],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003457702,0.00015860093,0.00030959406,0.000013960068,0.00061211566,0.00006577236,0.00012415262,0.0001410554,0.000023143939],"category_scores_gemma":[0.000013857699,0.00012901369,0.00009307857,0.0001449278,0.0022191035,0.0002259011,0.000035293026,0.00017615991,7.022203e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012978797,0.00011324819,0.94851315,0.000023843346,0.000014706735,3.8738082e-7,0.049233884,7.982386e-9,0.00044424966,0.00036765853,0.000060243747,0.0012156323],"study_design_scores_gemma":[0.00029385329,0.000097810036,0.9795258,0.00004757631,0.000066855406,3.9181108e-7,0.016493207,0.000009810269,0.0016695894,0.0016131853,0.000024933155,0.00015698794],"about_ca_topic_score_codex":0.0017225198,"about_ca_topic_score_gemma":0.0018203001,"teacher_disagreement_score":0.032740675,"about_ca_system_score_codex":0.000018267676,"about_ca_system_score_gemma":0.00005076935,"threshold_uncertainty_score":0.8176379},"labels":[],"label_agreement":null},{"id":"W2807893527","doi":"10.1080/17549175.2018.1484793","title":"Is there suitable housing near work? The impact of housing suitability on commute distances in Montreal, Toronto, and Vancouver","year":2018,"lang":"en","type":"article","venue":"Journal of Urbanism International Research on Placemaking and Urban Sustainability","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Urban sprawl; Sustainability; Operationalization; Work (physics); Stock (firearms); Urban planning; Neighbourhood (mathematics); Business; Urban sustainability; Smart growth; Subdivision; Environmental planning; Geography; Civil engineering; Engineering; Mathematics","score_opus":0.04765978609545761,"score_gpt":0.4201812987969581,"score_spread":0.37252151270150047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2807893527","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9897609,0.0007654772,0.000043855962,0.0010862375,0.00020934177,0.00036738822,0.00001832619,0.000008524238,0.007739958],"genre_scores_gemma":[0.9989303,0.000095857766,0.000046097157,0.000034571895,0.00025928448,0.000004522534,6.1711035e-7,0.000012128001,0.00061663863],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99598104,0.0011342408,0.00065362494,0.00034252487,0.0013488926,0.0005396705],"domain_scores_gemma":[0.9950101,0.0022739922,0.00038965794,0.000324837,0.0018299232,0.00017149388],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010409365,0.0001835901,0.0003743455,0.0001436633,0.0009235128,0.00035043742,0.0005568942,0.00013759869,0.000270521],"category_scores_gemma":[0.00246363,0.000120497105,0.00016449041,0.00039795085,0.0021924952,0.0007332654,0.00011264228,0.0008380423,4.4326353e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020548948,0.00042213636,0.9733443,0.00004395542,0.00006907431,0.000017627259,0.016366363,0.000056904806,0.0000067414517,0.0012457203,0.0034313994,0.0029408778],"study_design_scores_gemma":[0.00072598655,0.0006655846,0.956094,0.00024792162,0.0000118703065,6.8019716e-7,0.019823797,0.0002842913,0.000037590595,0.019588716,0.0023839013,0.0001356103],"about_ca_topic_score_codex":0.031167634,"about_ca_topic_score_gemma":0.060234882,"teacher_disagreement_score":0.02906725,"about_ca_system_score_codex":0.0020544084,"about_ca_system_score_gemma":0.00080266054,"threshold_uncertainty_score":0.9752839},"labels":[],"label_agreement":null},{"id":"W2808310501","doi":"10.1007/978-3-319-89806-3_8","title":"Factors Influencing Journey-to-Work by Public Transit in Mega Canadian Cities","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Census; Transit (satellite); Regional science; Census tract; Public transport; Work (physics); Geography; Urban planning; Transport engineering; Urban design; Megacity; Engineering; Sociology; Economics; Economy; Civil engineering; Demography; Population","score_opus":0.07180007857021002,"score_gpt":0.2784802124844183,"score_spread":0.20668013391420825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2808310501","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19327578,0.000198483,0.000019089386,0.0016859362,0.0003743442,0.000356899,0.000104613995,0.00007999976,0.80390483],"genre_scores_gemma":[0.64210266,0.000015883006,0.000016790998,0.00053341134,0.00021495238,0.0000038145681,0.000039783652,0.000028279994,0.35704443],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977027,0.000036841702,0.00047179902,0.00048406012,0.00053441845,0.00077014323],"domain_scores_gemma":[0.99850756,0.00006323527,0.0000971887,0.0002678138,0.0001530466,0.0009111673],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005715025,0.00034203063,0.00044701417,0.0004897918,0.00048799213,0.00031189542,0.00066124817,0.0006033946,0.02336106],"category_scores_gemma":[0.000042278574,0.00030880893,0.0001641035,0.00021719496,0.00041416238,0.00045278872,0.000014026843,0.000461452,0.0000896876],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016739114,0.000028528519,0.7634515,0.00005746982,0.00012702197,0.000034700246,0.09937577,0.0000011401515,0.0000054906072,0.044464096,0.089901574,0.0025359823],"study_design_scores_gemma":[0.000106424995,0.00002230555,0.03155605,0.0001298341,0.000023956714,4.064428e-8,0.0033536903,1.4724841e-7,0.000011534755,0.0074859443,0.95667696,0.0006330942],"about_ca_topic_score_codex":0.52393794,"about_ca_topic_score_gemma":0.984545,"teacher_disagreement_score":0.8667754,"about_ca_system_score_codex":0.00076785526,"about_ca_system_score_gemma":0.001618209,"threshold_uncertainty_score":0.9999364},"labels":[],"label_agreement":null},{"id":"W2808405112","doi":"","title":"Understanding University Students’ Intercity Transport Mode Choice: A Case Study of the University of Waterloo Students’ Travel Behavior Between the Region of Waterloo and the Greater Toronto and Hamilton Area","year":2018,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mode choice; Transport engineering; Travel behavior; Mode (computer interface); Geography; Mathematics education; Engineering; Psychology; Public transport; Computer science","score_opus":0.05068406849074166,"score_gpt":0.2754207622919429,"score_spread":0.22473669380120123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2808405112","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977012,0.000039594586,0.000021585593,0.00012455793,0.00013803829,0.0017138812,0.00014154128,0.00001925017,0.00010031935],"genre_scores_gemma":[0.9736005,0.0001696257,0.0000157738,0.0000022702318,0.000022834709,3.237747e-7,0.00003791208,0.000016456686,0.026134273],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99721646,0.00059404445,0.00033573678,0.00058222294,0.00093411526,0.00033742312],"domain_scores_gemma":[0.99809176,0.00012497863,0.0007273621,0.0006178175,0.00031227677,0.00012578857],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.00082863396,0.00035177605,0.00087443506,0.00012594504,0.0013159958,0.000029349374,0.0016275056,0.00035119793,0.00006271961],"category_scores_gemma":[0.000006713438,0.00025200704,0.00030952235,0.00027328328,0.0023625384,0.00054263073,0.00019291195,0.00033300766,2.538353e-7],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000588133,0.0002525967,0.49896848,0.00012769832,0.00026819907,0.000069530695,0.49958554,9.4402446e-7,0.000043716518,0.000017161025,0.0000136691315,0.000064315675],"study_design_scores_gemma":[0.0021053213,0.00015975701,0.45403165,0.00013301523,0.0014653605,0.000001826388,0.5418432,0.0000043835653,0.0000743691,0.000023846273,0.000009015247,0.00014829279],"about_ca_topic_score_codex":0.75522304,"about_ca_topic_score_gemma":0.9078447,"teacher_disagreement_score":0.15262173,"about_ca_system_score_codex":0.00032991072,"about_ca_system_score_gemma":0.0001090346,"threshold_uncertainty_score":0.9999932},"labels":[],"label_agreement":null},{"id":"W2808570839","doi":"10.7939/r3sx64h1f","title":"A Framework for Measuring Accessibility as a Metric of Quality of Life in Polycentric Cities","year":2015,"lang":"en","type":"article","venue":"University of Alberta Library","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Metric (unit); Quality (philosophy); Geography; Computer science; Environmental planning; Business; Marketing; Epistemology","score_opus":0.06695086926540014,"score_gpt":0.2913721003396134,"score_spread":0.22442123107421327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2808570839","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9821709,0.00035918213,0.00035803532,0.0005224143,0.00007444393,0.00027584835,0.0000166429,0.00001692078,0.016205605],"genre_scores_gemma":[0.9966185,0.000027969749,0.0025672605,0.000028831233,0.00002439348,2.437042e-7,0.0000074994687,0.0000052234986,0.0007200759],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99864715,0.00021987468,0.00036423065,0.00021899806,0.00035161074,0.00019811797],"domain_scores_gemma":[0.9981052,0.0010115318,0.0003660991,0.00023984433,0.00010755379,0.00016974423],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068445544,0.00008607121,0.000420209,0.00026653963,0.00007315985,0.000010114348,0.0005819571,0.00014929677,0.00027093233],"category_scores_gemma":[0.0014048129,0.00009691816,0.0001638718,0.0011282772,0.00044222042,0.001092278,0.00008487749,0.00010109167,9.871849e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005801002,0.00021051835,0.95704055,0.00017430993,0.00002518872,5.1270655e-7,0.022621945,0.0000054490615,0.0000052615587,0.019008322,0.00008887797,0.00023896176],"study_design_scores_gemma":[0.0012843156,0.00008137601,0.9172448,0.00010720872,0.000035157107,1.75226e-8,0.029174855,0.000020252379,0.0006911135,0.05050163,0.00068059325,0.00017868864],"about_ca_topic_score_codex":0.06682324,"about_ca_topic_score_gemma":0.0067139594,"teacher_disagreement_score":0.06010928,"about_ca_system_score_codex":0.000042416297,"about_ca_system_score_gemma":0.00088008965,"threshold_uncertainty_score":0.93939084},"labels":[],"label_agreement":null},{"id":"W2808647260","doi":"10.5198/jtlu.2018.1273","title":"Viewpoint: Integrated urban modeling: Past, present, and future","year":2018,"lang":"en","type":"article","venue":"Journal of Transport and Land Use","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Exploit; State (computer science); AKA; Urban planning; Land use; Computer science; Data science; Regional science; Management science; Operations research; Political science; Environmental planning; Engineering; Sociology; Computer security; Geography; Civil engineering","score_opus":0.02986665764187651,"score_gpt":0.2855416435479995,"score_spread":0.255674985906123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2808647260","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99344915,0.0012271599,0.0004771592,0.0037138069,0.00030208542,0.00008437103,0.000011950204,0.00001455395,0.00071978004],"genre_scores_gemma":[0.99435395,0.0010021655,0.00027255612,0.00014990388,0.0039165304,5.0695076e-7,0.0000043596933,0.0000075150833,0.00029253506],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99904233,0.000041634557,0.00035134953,0.0001348096,0.00024025787,0.00018961747],"domain_scores_gemma":[0.9993204,0.000022364007,0.00012655507,0.00007895689,0.00022786902,0.00022383769],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004827723,0.00011034807,0.00024394905,0.00006969142,0.000246764,0.00006905591,0.00012245678,0.00010874852,0.00012382043],"category_scores_gemma":[0.00000455402,0.00007418341,0.00007983846,0.00013959955,0.00022564903,0.0005955693,0.000003609911,0.00021039184,5.7700237e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019990417,0.00006124542,0.9883739,0.000016710663,0.00003936176,0.000029156896,0.0073245605,0.0000016605751,0.000016080598,0.00024970376,0.0009425992,0.0027451378],"study_design_scores_gemma":[0.0008944294,0.00017125545,0.4399022,0.00007114553,0.0001443108,0.000007827136,0.0011555378,0.0001845047,0.000019490371,0.0008976093,0.55637044,0.00018128211],"about_ca_topic_score_codex":0.0007166163,"about_ca_topic_score_gemma":0.0015227344,"teacher_disagreement_score":0.5554278,"about_ca_system_score_codex":0.000010669436,"about_ca_system_score_gemma":0.000082971805,"threshold_uncertainty_score":0.3025112},"labels":[],"label_agreement":null},{"id":"W2808668963","doi":"10.1007/s11524-018-0262-6","title":"Talking the Walk: Perceptions of Neighborhood Characteristics from Users of Open Streets Programs in Latin America and the USA","year":2018,"lang":"en","type":"article","venue":"Journal of Urban Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Children's Hospital of Eastern Ontario","funders":"National Institute of Biomedical Imaging and Bioengineering; U.S. Public Health Service; National Institute of Diabetes and Digestive and Kidney Diseases; National Cancer Institute; Robert Wood Johnson Foundation","keywords":"Recreation; Built environment; Latin Americans; Gerontology; Population; Geography; Perception; Psychology; Socioeconomics; Environmental health; Sociology; Medicine; Political science; Engineering","score_opus":0.05591451174083673,"score_gpt":0.35452140546870614,"score_spread":0.2986068937278694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2808668963","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952395,0.0001813474,0.00006852668,0.003628032,0.00014001514,0.00032786513,0.000019862104,0.0000018714555,0.00039299007],"genre_scores_gemma":[0.9988243,0.00025016846,0.00042377872,0.00019873913,0.00026708702,0.0000019388096,0.0000021202425,0.000004507045,0.000027377662],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99843025,0.00034203072,0.000663931,0.00009049098,0.00029553878,0.0001777309],"domain_scores_gemma":[0.9984134,0.00021663793,0.0009793728,0.0001460736,0.00015712884,0.0000873928],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013768212,0.0000664893,0.00034764595,0.00003888173,0.00026239414,0.00006581088,0.0005214264,0.000036139558,0.00011440283],"category_scores_gemma":[0.0001186585,0.000036716283,0.00006501363,0.00027847686,0.0009684086,0.00024519666,0.000042493397,0.00021484685,4.8542637e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009248839,0.00009712921,0.9497198,0.000010331082,0.000014270326,5.415929e-7,0.034255628,1.6201656e-7,0.00001536965,0.00035186217,0.00010188788,0.015340521],"study_design_scores_gemma":[0.00052649016,0.00017753184,0.98883736,0.000116874224,0.00001798911,2.2613092e-7,0.008438381,0.00003312329,0.0000025391298,0.0007504469,0.0010621409,0.00003686662],"about_ca_topic_score_codex":0.024163285,"about_ca_topic_score_gemma":0.022207173,"teacher_disagreement_score":0.03911758,"about_ca_system_score_codex":0.00005326916,"about_ca_system_score_gemma":0.00048050997,"threshold_uncertainty_score":0.995635},"labels":[],"label_agreement":null},{"id":"W2808764968","doi":"10.23889/ijpds.v3i2.523","title":"Measuring Active Living Environments: An international comparison between Canada and Wales","year":2018,"lang":"en","type":"article","venue":"International Journal for Population Data Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Walkability; Neighbourhood (mathematics); Built environment; Geography; Context (archaeology); Geographic information system; Work (physics); Environmental planning; Environmental health; Environmental resource management; Transport engineering; Cartography; Environmental science; Civil engineering; Engineering; Medicine","score_opus":0.1417070515434685,"score_gpt":0.4077715654693917,"score_spread":0.26606451392592323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2808764968","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99186003,0.000010520617,0.0042715673,0.0006049499,0.002427624,0.00010360737,0.00026839992,0.000011691861,0.00044158485],"genre_scores_gemma":[0.99652076,0.000014960939,0.0015359317,0.00006750307,0.0016103745,0.0000016661032,0.00015445477,0.0000049580294,0.000089415924],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977912,0.000046666868,0.00031836575,0.00034696082,0.001280603,0.00021624171],"domain_scores_gemma":[0.99895096,0.000118511845,0.00025128725,0.00019286685,0.00029385986,0.00019251383],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015103864,0.000078686695,0.000094424075,0.00012571324,0.0010944066,0.00050224666,0.0019157749,0.000030340603,0.000103646176],"category_scores_gemma":[0.000735511,0.00007670642,0.000016881728,0.00011613877,0.0004500249,0.00549654,0.00018080085,0.00011235329,0.0000013940609],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014669373,0.000023903945,0.9639896,6.577147e-7,0.000019451332,7.3366886e-7,0.0009028524,0.000010503477,0.00011748313,0.0005016413,0.0000777373,0.034340773],"study_design_scores_gemma":[0.00011803868,0.000017311302,0.97896546,0.000026855621,0.0000101394835,0.0000013793579,0.00073583977,0.0016987063,0.000112288064,0.000573954,0.017638803,0.00010120666],"about_ca_topic_score_codex":0.23147179,"about_ca_topic_score_gemma":0.62507457,"teacher_disagreement_score":0.3936028,"about_ca_system_score_codex":0.00046882255,"about_ca_system_score_gemma":0.00042578368,"threshold_uncertainty_score":0.84174013},"labels":[],"label_agreement":null},{"id":"W2808869049","doi":"10.1016/b978-0-12-811931-0.00005-3","title":"Children’s Independent Mobility","year":2018,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Neighbourhood (mathematics); Physical activity; Psychology; Cognition; Business; Political science; Medicine; Mathematics; Physical therapy","score_opus":0.018556599870562532,"score_gpt":0.2730501244148071,"score_spread":0.25449352454424456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2808869049","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010968166,0.0005121217,0.0000019063717,0.000060309296,0.0007575555,0.00094710884,0.00008297171,0.00018712162,0.98648274],"genre_scores_gemma":[0.06574897,0.000045370332,0.000050619376,0.0001816765,0.0023303856,0.000024512692,0.000038734484,0.00005131077,0.93152845],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9972798,0.000065932625,0.0005309268,0.0007905343,0.0008509981,0.00048181007],"domain_scores_gemma":[0.9984042,0.000045784003,0.00028618026,0.00078003615,0.0001998515,0.00028396773],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010128956,0.00039645762,0.0005177864,0.000092145936,0.0005531626,0.0001134487,0.00076935475,0.00070160034,0.007326895],"category_scores_gemma":[0.000028380948,0.0003782247,0.00039092437,0.00001745307,0.0012299488,0.00010622709,0.00009540831,0.00060230197,0.00073018397],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026349173,0.000048595797,0.013022508,0.000044309847,0.00014220508,0.000013936306,0.004445106,2.9286454e-8,0.0000017372814,0.0057542394,0.0007141434,0.97578686],"study_design_scores_gemma":[0.00015926364,0.000031247902,0.012249643,0.00010115481,0.0001071234,4.710691e-7,0.000033184286,8.9599936e-8,0.000011546614,0.054760203,0.9320776,0.00046846492],"about_ca_topic_score_codex":0.00005903106,"about_ca_topic_score_gemma":0.0057842424,"teacher_disagreement_score":0.9753184,"about_ca_system_score_codex":0.000258521,"about_ca_system_score_gemma":0.0004922449,"threshold_uncertainty_score":0.99986696},"labels":[],"label_agreement":null},{"id":"W2808958336","doi":"10.1016/b978-0-12-811931-0.00001-6","title":"Public Health Benefits of Active Transportation","year":2018,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Cardiorespiratory fitness; Physical activity; Public health; Scientific evidence; Environmental health; Physical fitness; Psychology; Gerontology; Medicine; Political science; Public economics; Economics; Nursing; Physical therapy","score_opus":0.06923078222747578,"score_gpt":0.30181325802501763,"score_spread":0.23258247579754185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2808958336","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0051326817,0.00073494756,0.0000044398507,0.0004043722,0.00033956146,0.00061947096,0.0003172219,0.000068503534,0.9923788],"genre_scores_gemma":[0.08008165,0.00019593061,0.00011263689,0.00020552479,0.00054143183,0.000014067691,0.00015578132,0.000042333537,0.9186506],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979685,0.000051150495,0.00058772904,0.0004165266,0.00060277374,0.00037331262],"domain_scores_gemma":[0.99842036,0.0000455963,0.00063006626,0.00031913735,0.00034596212,0.00023889562],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00069229957,0.00024636448,0.00053272274,0.00013131074,0.00030467162,0.00003085859,0.0003685999,0.00034055824,0.0017095731],"category_scores_gemma":[0.000014899796,0.0002453841,0.00025156722,0.00003217412,0.0006828804,0.0001549555,0.0000072541147,0.00026359342,0.00003976469],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012138684,0.00001657352,0.00036501963,0.00008047215,0.000051576455,8.28506e-7,0.016899787,3.9837886e-8,6.366236e-7,0.021163316,0.00007960446,0.96133],"study_design_scores_gemma":[0.00016269306,0.000074205476,0.00841011,0.00023032367,0.000046338555,4.8744177e-8,0.00021111289,7.848951e-8,0.000018632676,0.018452734,0.97213215,0.00026158593],"about_ca_topic_score_codex":0.00007963432,"about_ca_topic_score_gemma":0.01864703,"teacher_disagreement_score":0.9720525,"about_ca_system_score_codex":0.00015545309,"about_ca_system_score_gemma":0.0010112028,"threshold_uncertainty_score":0.9999998},"labels":[],"label_agreement":null},{"id":"W2808968198","doi":"10.1177/0361198118783113","title":"Exploring the Impact of Different Cut-off Times on Isochrone Measurements of Accessibility","year":2018,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Interpretability; Cut-off; Limit (mathematics); Statistics; Computer science; Mode (computer interface); Travel time; Public transport; Mathematics; Environmental science; Power (physics); Transport engineering; Engineering; Artificial intelligence; Physics","score_opus":0.34929720231792816,"score_gpt":0.4751199245451593,"score_spread":0.12582272222723112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2808968198","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957883,0.00012234504,0.00011304574,0.001246821,0.00049407984,0.0011090473,0.00006410642,0.000016644668,0.0010456523],"genre_scores_gemma":[0.99866337,0.0005090101,0.00011807786,0.000009888377,0.00033572037,0.00004631038,0.000007462859,0.00003094483,0.00027922067],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9885424,0.002481402,0.0017783683,0.00041882956,0.005888414,0.0008906038],"domain_scores_gemma":[0.9906018,0.0013622397,0.0008666178,0.0007323559,0.006083778,0.00035325345],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.009963749,0.00026208337,0.0006177361,0.00064858113,0.0011518049,0.00009455859,0.0020377338,0.00014112053,0.001071842],"category_scores_gemma":[0.00048554482,0.0001490649,0.0008016033,0.0023851073,0.0032352651,0.0010359319,0.000009664413,0.0015021054,0.000008607906],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025853,0.0007927075,0.96708125,0.00014412789,0.00027260656,0.000006095825,0.014310454,0.00011879406,0.004511813,0.0005905389,0.00094116863,0.008645126],"study_design_scores_gemma":[0.0009256126,0.0011926222,0.975649,0.0003899295,0.00005681632,2.2106425e-8,0.002711334,0.000015484215,0.015930986,0.0027153026,0.00028208882,0.00013081553],"about_ca_topic_score_codex":0.038359754,"about_ca_topic_score_gemma":0.11056046,"teacher_disagreement_score":0.07220071,"about_ca_system_score_codex":0.00044113173,"about_ca_system_score_gemma":0.0012726389,"threshold_uncertainty_score":0.99984133},"labels":[],"label_agreement":null},{"id":"W2809058911","doi":"10.1016/j.amepre.2018.04.007","title":"Active School Travel Intervention Methodologies in North America: A Systematic Review","year":2018,"lang":"en","type":"review","venue":"American Journal of Preventive Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":58,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Children’s Health Research Institute; Lawson Health Research Institute; Middlesex London Health Unit; Western University","funders":"Children's Health Foundation; Children's Health Research Institute","keywords":"Psychological intervention; Scopus; Conceptualization; Intervention (counseling); Medical education; Psychology; Equity (law); Medicine; MEDLINE; Computer science; Political science; Nursing","score_opus":0.10066692169985508,"score_gpt":0.45336274090801787,"score_spread":0.3526958192081628,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2809058911","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00008131493,0.9949266,0.0018320146,0.00020682062,0.00042978916,0.0018997758,0.000017598897,0.000012777893,0.0005933328],"genre_scores_gemma":[0.0003048121,0.99786794,0.00066860014,0.00013355906,0.00055291824,0.000084895146,0.00002066672,0.00002642916,0.00034016362],"study_design_codex":"design_other","study_design_gemma":"systematic_review","domain_scores_codex":[0.98820484,0.0072021214,0.002974491,0.0003834904,0.0008389009,0.00039614833],"domain_scores_gemma":[0.99032336,0.0014140522,0.0070884414,0.00035816035,0.00054485013,0.00027115544],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0070035495,0.0004329301,0.006598281,0.0005592301,0.00010363869,0.000019216946,0.0011151267,0.00009598584,0.00049109367],"category_scores_gemma":[0.007964827,0.0002690114,0.0011875787,0.0023058185,0.0022294421,0.0003522886,0.00004897737,0.0009172814,0.000024393576],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003285084,0.00013222765,0.00020932555,0.37809098,0.0007113404,0.00006276477,0.0033334263,2.2632149e-8,4.244189e-8,0.000008885764,0.00045894537,0.6169592],"study_design_scores_gemma":[0.00031536736,0.0009902702,0.00089250534,0.93369806,0.006819015,0.0000153667,0.011802343,7.639734e-8,1.1540489e-7,0.00017923703,0.044976506,0.00031115967],"about_ca_topic_score_codex":0.0010743585,"about_ca_topic_score_gemma":0.0013577663,"teacher_disagreement_score":0.616648,"about_ca_system_score_codex":0.0005928654,"about_ca_system_score_gemma":0.00070021936,"threshold_uncertainty_score":0.9999762},"labels":[],"label_agreement":null},{"id":"W2809076725","doi":"10.1177/0361198118781150","title":"Small Steps, Big Differences: Assessing the Validity of using Home and Work Locations to Estimate Walking Distances to Transit","year":2018,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; McGill University","funders":"","keywords":"Public transport; Respondent; Transit (satellite); Travel behavior; Transport engineering; Work (physics); Travel survey; Mode choice; Computer science; Journey to work; Multilevel model; Transportation planning; Engineering","score_opus":0.26913999228377455,"score_gpt":0.466665640870119,"score_spread":0.19752564858634447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2809076725","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97328275,0.00015367504,0.0195875,0.0050559565,0.00053979404,0.0011683217,0.000053842185,0.000021900927,0.00013622876],"genre_scores_gemma":[0.9948213,0.00013801838,0.0043454473,0.000041922114,0.00035139793,0.000035367648,0.0000046901414,0.000030333704,0.00023150793],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9925313,0.0017637248,0.001297643,0.00045721047,0.0030549488,0.00089519407],"domain_scores_gemma":[0.9933688,0.0015627604,0.00041224656,0.0004467879,0.00365711,0.00055226934],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.008382324,0.0002287,0.00048529363,0.000657158,0.002289906,0.00038406753,0.001380637,0.00015038157,0.000115272356],"category_scores_gemma":[0.00034088927,0.00015402066,0.00023891988,0.003847715,0.0020454538,0.0006314043,0.0000102752265,0.001079952,0.0000035129858],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039023458,0.00013754758,0.95568407,0.00015000986,0.00006190953,0.000010780125,0.031548787,0.00020846636,0.0010289465,0.00085677486,0.00014837236,0.009774119],"study_design_scores_gemma":[0.00039067733,0.00020763218,0.9838297,0.0007200932,0.00007421993,5.35578e-8,0.007927465,0.000028723533,0.0006181012,0.0033633898,0.0026575376,0.0001824458],"about_ca_topic_score_codex":0.017005682,"about_ca_topic_score_gemma":0.3760385,"teacher_disagreement_score":0.3590328,"about_ca_system_score_codex":0.00021389012,"about_ca_system_score_gemma":0.0009927577,"threshold_uncertainty_score":0.99900895},"labels":[],"label_agreement":null},{"id":"W2809173441","doi":"10.1177/0361198118787095","title":"Walkability: Which Measure to Choose, Where to Measure It, and How?","year":2018,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Walkability; Collinearity; Index (typography); Statistics; Measure (data warehouse); Pedestrian; Scale (ratio); Context (archaeology); Geography; Built environment; Transport engineering; Computer science; Econometrics; Mathematics; Cartography; Data mining; Engineering","score_opus":0.12389985952748356,"score_gpt":0.4146149415295621,"score_spread":0.2907150820020785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2809173441","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9035299,0.00021417679,0.0011871387,0.091237366,0.0006437508,0.0019518352,0.00006832945,0.00004484946,0.0011226935],"genre_scores_gemma":[0.99420685,0.0002999316,0.0017827974,0.00026525374,0.0007942876,0.0000882824,0.00000540465,0.0000541743,0.002503052],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98771805,0.0023141603,0.0010957234,0.0007809119,0.0066486304,0.0014425028],"domain_scores_gemma":[0.9840313,0.00087476044,0.00028656775,0.0006972865,0.012606664,0.0015034098],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.014965879,0.00032026885,0.00058802235,0.0010125219,0.0021768915,0.00048769952,0.0017629429,0.00032682155,0.00068205845],"category_scores_gemma":[0.0013813247,0.0002495957,0.000300288,0.0054536066,0.0014133168,0.0011541594,0.000014199667,0.0020745343,0.00005610488],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023220752,0.0002726582,0.89354324,0.00020125577,0.00013677723,0.000038719347,0.04203358,0.000031186788,0.0027565504,0.001495046,0.034488227,0.02268069],"study_design_scores_gemma":[0.0008302895,0.0006652678,0.8744735,0.00046218967,0.00004941376,1.1516416e-7,0.01119287,0.000005631059,0.00067957863,0.001728179,0.10964724,0.00026574216],"about_ca_topic_score_codex":0.03148641,"about_ca_topic_score_gemma":0.7593292,"teacher_disagreement_score":0.7278428,"about_ca_system_score_codex":0.00040847433,"about_ca_system_score_gemma":0.0017586634,"threshold_uncertainty_score":0.99999565},"labels":[],"label_agreement":null},{"id":"W2809182244","doi":"","title":"Maximizing Mobility: Transportation Efficiency And Infrastructure Development In The Urban Boundary Rural Area Of Vancouver, Canada","year":2018,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transport engineering; Transport infrastructure; Boundary (topology); Geography; Business; Environmental planning; Economic growth; Regional science; Economics; Engineering","score_opus":0.008855409381864252,"score_gpt":0.23458775655409103,"score_spread":0.2257323471722268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2809182244","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951608,0.00007903908,0.0002331885,0.0001103746,0.0002532727,0.00020947952,0.0000063782163,0.000011079322,0.0039363964],"genre_scores_gemma":[0.99941903,0.0000036157505,0.0002857402,0.00012435847,0.00003403911,0.000005108383,0.0000064356896,0.0000024837523,0.00011921278],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99901384,0.000043420318,0.00026143622,0.00014325543,0.00034620138,0.00019187325],"domain_scores_gemma":[0.9996714,0.000050498747,0.000060097627,0.000103900034,0.00007169103,0.000042436317],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004725413,0.00007731491,0.000113220514,0.000027316399,0.00031155982,0.00002399106,0.00019258322,0.000045224446,0.0001487289],"category_scores_gemma":[0.000020287323,0.00005295036,0.000016440608,0.00027096728,0.00038954394,0.0001570556,0.0000037225211,0.00008144711,1.1108162e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016077467,0.000032111762,0.95619154,0.000019456356,0.0000037529403,0.0000015707711,0.038735297,0.0000036203353,0.000026394571,0.0002706434,0.0011558505,0.0035436987],"study_design_scores_gemma":[0.00016427613,0.000015064698,0.9666826,0.0000140296115,0.000005810496,4.3627576e-8,0.017234094,0.000017498056,0.00023028476,0.00064253854,0.014908294,0.000085437605],"about_ca_topic_score_codex":0.51627624,"about_ca_topic_score_gemma":0.9957712,"teacher_disagreement_score":0.47949502,"about_ca_system_score_codex":0.000094512565,"about_ca_system_score_gemma":0.0010664212,"threshold_uncertainty_score":0.48694494},"labels":[],"label_agreement":null},{"id":"W2809206948","doi":"10.3390/su10062050","title":"Evaluation of Preferences for Alternative Transportation Services and Loyalty towards Active Transportation during a Major Transportation Infrastructure Disruption","year":2018,"lang":"en","type":"article","venue":"Sustainability","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Modal shift; Loyalty; Business; Transport engineering; Paratransit; Public transport; Travel behavior; Sustainable transport; Mixed logit; Mode choice; Marketing; Service (business); Sustainability; Computer science; Engineering; Logistic regression","score_opus":0.019048713503562312,"score_gpt":0.34157979063317767,"score_spread":0.3225310771296154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2809206948","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948814,0.00006450578,0.0015340608,0.00020905671,0.0001803697,0.0023340266,0.0006080086,0.00006392422,0.00012466213],"genre_scores_gemma":[0.9988437,0.00001785575,0.00027473603,0.000009130279,0.00018195117,0.00022296007,0.00041529333,0.0000136812605,0.000020643914],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99724364,0.00032865294,0.0005748403,0.00056497095,0.0009574378,0.0003304357],"domain_scores_gemma":[0.99467283,0.00008505372,0.00039988052,0.00018706318,0.004543009,0.000112183836],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020359664,0.00021195167,0.00029662205,0.00011475076,0.0005707052,0.000043255757,0.00018373338,0.00020007695,0.00014384113],"category_scores_gemma":[0.00018901637,0.00020462878,0.00012013476,0.00037431036,0.000687984,0.0011695637,0.0000015406433,0.0001380287,2.2382413e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011932581,0.0001921779,0.7674608,0.0014079768,0.000102250786,6.3400694e-7,0.17326878,0.00020801646,0.00045081196,0.0021338714,0.0000024460776,0.05357897],"study_design_scores_gemma":[0.0010922402,0.00014032275,0.86814755,0.00003839408,0.0003634489,2.2589333e-8,0.019806866,0.00024053897,0.0044306493,0.105518326,0.000043098014,0.00017853375],"about_ca_topic_score_codex":0.01118398,"about_ca_topic_score_gemma":0.12033251,"teacher_disagreement_score":0.15346192,"about_ca_system_score_codex":0.000531588,"about_ca_system_score_gemma":0.0008017653,"threshold_uncertainty_score":0.9954006},"labels":[],"label_agreement":null},{"id":"W2809265896","doi":"10.5539/mas.v12n7p59","title":"Evolution of Transport Policies in Latin-America, Stages and Steps Forward","year":2018,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universidad Nacional de Colombia","keywords":"Latin Americans; Public transport; Context (archaeology); Sustainable transport; Transport policy; Process (computing); Work (physics); Developing country; Economic growth; Regional science; Business; Transport engineering; Computer science; Political science; Economics; Sustainability; Sociology; Geography; Engineering","score_opus":0.019340519438459148,"score_gpt":0.29049034099913007,"score_spread":0.2711498215606709,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2809265896","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96226686,0.00004729966,0.0131484205,0.00012156989,0.000045459525,0.0002021148,0.00000779545,0.000030609357,0.024129849],"genre_scores_gemma":[0.99905694,0.000008941332,0.00070403004,0.00003722604,0.000045886896,0.000007919404,6.484589e-7,0.0000037405568,0.00013465469],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99861306,0.000015069112,0.00021784153,0.00032063204,0.00049201807,0.0003413632],"domain_scores_gemma":[0.9995509,0.000027675582,0.00008145903,0.0001665059,0.000078274716,0.000095196294],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0007871032,0.00007917086,0.00015449474,0.0001417825,0.00036092734,0.000027183403,0.00034073612,0.000044819233,0.000032620068],"category_scores_gemma":[0.000021590977,0.00007328385,0.000020488891,0.0008967833,0.004100171,0.00030809615,0.000022817678,0.00006883026,0.000002835815],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025952479,0.00006047706,0.89777035,0.000015306281,0.0000015666342,4.2519267e-7,0.037372936,0.000014872839,0.04653278,0.009561858,0.0000064057763,0.0086371],"study_design_scores_gemma":[0.00016614531,0.000026995936,0.98026043,0.000009799816,0.0000047583785,3.250127e-8,0.0027352294,0.0010524413,0.002730072,0.012651399,0.00025063902,0.00011207442],"about_ca_topic_score_codex":0.0052881115,"about_ca_topic_score_gemma":0.0076520494,"teacher_disagreement_score":0.082490094,"about_ca_system_score_codex":0.000091140966,"about_ca_system_score_gemma":0.00029018673,"threshold_uncertainty_score":0.9986101},"labels":[],"label_agreement":null},{"id":"W2809303669","doi":"10.1145/3219819.3219873","title":"Towards Station-Level Demand Prediction for Effective Rebalancing in Bike-Sharing Systems","year":2018,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":98,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Montréal; Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bike sharing; Popularity; Computer science; Demand forecasting; Renting; Variance (accounting); Key (lock); Inference; Focus (optics); Operations research; Transport engineering; Artificial intelligence; Engineering; Computer security; Economics","score_opus":0.04070700800487691,"score_gpt":0.3327050420004349,"score_spread":0.29199803399555796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2809303669","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9137923,0.00004456072,0.06854345,0.00008196618,0.0006627366,0.00096416054,0.000036078854,0.000089120374,0.015785597],"genre_scores_gemma":[0.9981319,0.0000031979885,0.00045117037,0.00001997729,0.00043886682,0.00010199819,0.000012763613,0.0000053352123,0.00083481456],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991596,0.000044994355,0.0001951433,0.0002254605,0.00016775128,0.00020706601],"domain_scores_gemma":[0.9995834,0.00009131439,0.000051317624,0.00008338912,0.00014169859,0.00004886441],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011805394,0.00006042493,0.00011044218,0.000059402406,0.00028027952,0.000072187635,0.000106400264,0.00006983558,0.000039550014],"category_scores_gemma":[0.00013687323,0.00005340962,0.000029476092,0.00021779811,0.000087473796,0.0003656093,0.000008370183,0.000046447974,0.0000048838547],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038126498,0.00003043749,0.98302126,0.000062043146,0.00001019912,4.0040993e-7,0.009347182,0.00002387688,0.0001551281,0.0037830793,0.00026089724,0.0032673914],"study_design_scores_gemma":[0.00051831064,0.00007408753,0.9861109,0.00007630803,0.0000125309925,5.749222e-8,0.0028414545,0.005259145,0.00053286244,0.00300685,0.001460354,0.00010708815],"about_ca_topic_score_codex":0.014287644,"about_ca_topic_score_gemma":0.028405705,"teacher_disagreement_score":0.08433955,"about_ca_system_score_codex":0.00015133491,"about_ca_system_score_gemma":0.00007705443,"threshold_uncertainty_score":0.9922763},"labels":[],"label_agreement":null},{"id":"W2809421447","doi":"10.5539/ijsp.v7n4p69","title":"The Impact of Sidewalks on Vehicle-Pedestrian Crash Severity","year":2018,"lang":"en","type":"article","venue":"International Journal of Statistics and Probability","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Pedestrian; Crash; Transport engineering; Visibility; Poison control; Pedestrian crossing; Logistic regression; Computer science; Traffic congestion; Engineering; Environmental health; Geography; Medicine; Machine learning","score_opus":0.02536460592780506,"score_gpt":0.3526762275709332,"score_spread":0.32731162164312816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2809421447","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955318,0.00003740131,0.0010624217,0.0006901579,0.00043581772,0.00008419042,0.00018873744,0.000003176034,0.0019662774],"genre_scores_gemma":[0.99866575,0.000079281286,0.00085011387,0.000021490285,0.0003365165,5.0101124e-7,0.0000018322131,0.0000025616205,0.00004197138],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988043,0.00012083979,0.00040333127,0.000088480796,0.00046966225,0.0001134181],"domain_scores_gemma":[0.99772435,0.0005220506,0.00034537917,0.00008810078,0.0012318363,0.00008829485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014028057,0.00006362737,0.00012528397,0.000028573668,0.0002083524,0.00008766574,0.00032076854,0.000039636798,0.00013049998],"category_scores_gemma":[0.00090056506,0.000039452138,0.000069678965,0.00006815712,0.0007954004,0.00012619015,0.000018889194,0.00013609881,0.0000011345885],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051706785,0.00021594358,0.9256138,0.000008664969,0.00012789595,0.000007332834,0.0017297356,0.000007978927,0.00005626591,0.014783305,0.0012645313,0.05566748],"study_design_scores_gemma":[0.0002651464,0.000274255,0.8008297,0.000018808192,0.000010444964,0.0000010878972,0.00008818658,0.00007496658,0.00006711113,0.19683541,0.0014895066,0.0000453748],"about_ca_topic_score_codex":0.0017564567,"about_ca_topic_score_gemma":0.0020662316,"teacher_disagreement_score":0.18205212,"about_ca_system_score_codex":0.0001034556,"about_ca_system_score_gemma":0.0003596599,"threshold_uncertainty_score":0.29306862},"labels":[],"label_agreement":null},{"id":"W2809483962","doi":"10.2337/db18-309-or","title":"Neighborhood Walkability and Diabetes-Related Complications","year":2018,"lang":"en","type":"article","venue":"Diabetes","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Hamilton Health Sciences","funders":"","keywords":"Medicine; Walkability; Diabetes mellitus; Hazard ratio; Cohort; Retrospective cohort study; Incidence (geometry); Population; Cohort study; Retinopathy; Proportional hazards model; Internal medicine; Physical therapy; Environmental health; Confidence interval; Physical activity; Endocrinology","score_opus":0.01591666689117858,"score_gpt":0.27903263399771183,"score_spread":0.26311596710653323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2809483962","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95770466,0.00021552596,0.0000074408117,0.002008211,0.00015164477,0.00019417389,0.00001773556,0.00015006315,0.039550558],"genre_scores_gemma":[0.99926543,0.000005627791,0.00008460617,0.0002994369,0.00012667118,0.000018752251,0.000014590273,0.0000073360407,0.00017752165],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989197,0.0000929191,0.00019342561,0.00029180737,0.0001542928,0.00034784919],"domain_scores_gemma":[0.9992604,0.00016106453,0.000055794255,0.0002537963,0.00012450859,0.0001444233],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049787207,0.00009314534,0.00014374837,0.00003380612,0.00063001656,0.00007337013,0.00020291457,0.000089114044,0.00047805856],"category_scores_gemma":[0.0001514229,0.00008658936,0.000046813537,0.00029777107,0.0011547287,0.00024986156,0.000026844742,0.00009045383,0.0000745351],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[5.547289e-7,0.000053954747,0.9898243,0.0000075333537,0.000012513849,4.36588e-8,0.001135158,2.8361347e-8,0.0005332904,0.0037521087,0.00024364036,0.004436893],"study_design_scores_gemma":[0.00012323247,0.000027691103,0.96489936,0.0000083734285,0.000018607796,5.194953e-9,0.000117197815,0.000080564976,0.0007986403,0.027679127,0.006122501,0.00012467336],"about_ca_topic_score_codex":0.00016349283,"about_ca_topic_score_gemma":0.00031160784,"teacher_disagreement_score":0.04156081,"about_ca_system_score_codex":0.000028097305,"about_ca_system_score_gemma":0.0000473945,"threshold_uncertainty_score":0.5234406},"labels":[],"label_agreement":null},{"id":"W2809528742","doi":"10.1016/b978-0-12-811931-0.00006-5","title":"An Ecological Model of Active Transportation","year":2018,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Terminology; Interpersonal communication; Social ecological model; Psychological intervention; Ethnic group; Ecological psychology; Ecology; Psychology; Political science; Social psychology","score_opus":0.03668258583608565,"score_gpt":0.3016312087243054,"score_spread":0.26494862288821974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2809528742","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.046426356,0.000037016533,0.000026174737,0.000020928552,0.00013667716,0.0004313056,0.00019855313,0.00006275921,0.9526602],"genre_scores_gemma":[0.33684328,0.000020785252,0.00030300557,0.000057524336,0.00025215288,0.00001152368,0.0000691545,0.000022494483,0.6624201],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985096,0.000035871828,0.00040849036,0.00040409822,0.00041454873,0.00022739437],"domain_scores_gemma":[0.9990126,0.000033971875,0.0002964735,0.00029243124,0.00021988705,0.00014464512],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00034014237,0.00021668884,0.00041029134,0.000064398206,0.00019615349,0.000018744211,0.00037882326,0.00052291254,0.001789238],"category_scores_gemma":[0.0000072573657,0.00019795113,0.00021879571,0.000012668704,0.0008382687,0.0001433278,0.0000047457575,0.0002495375,0.000023210067],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009993276,0.00012075234,0.00046682742,0.0000702651,0.00008053117,0.0000074899103,0.02215173,0.000008537549,0.000086895685,0.028808603,0.00004616397,0.9480523],"study_design_scores_gemma":[0.00060123974,0.0004241056,0.009640756,0.00026146072,0.00056232343,1.02130976e-7,0.0006428808,0.00013245213,0.00042925237,0.5061861,0.47992864,0.001190674],"about_ca_topic_score_codex":0.00001406089,"about_ca_topic_score_gemma":0.0060202153,"teacher_disagreement_score":0.9468616,"about_ca_system_score_codex":0.000074324555,"about_ca_system_score_gemma":0.0003481454,"threshold_uncertainty_score":0.9991233},"labels":[],"label_agreement":null},{"id":"W2809974870","doi":"10.1111/cag.12473","title":"Le centre‐ville de Montréal est‐il en perte de vitesse? Analyse de la localisation des services supérieurs 1996‐2011","year":2018,"lang":"fr","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Political science; Humanities; Art","score_opus":0.006376026413677554,"score_gpt":0.20912095097092942,"score_spread":0.20274492455725188,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2809974870","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96285623,0.021430597,0.000045364544,0.005566918,0.00080418045,0.00038915043,0.0006338965,0.00016941648,0.008104271],"genre_scores_gemma":[0.9880106,0.007876929,0.0007381166,0.0011352093,0.0009121338,0.00004506908,0.00014291375,0.000095373696,0.0010436871],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9935,0.001138211,0.00067564123,0.0009979381,0.00041809736,0.0032701045],"domain_scores_gemma":[0.99480134,0.00043219485,0.00027146493,0.00070222514,0.0005014678,0.0032913294],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0018327136,0.0007203686,0.00066114584,0.0023349605,0.0032722775,0.0005260377,0.0012171861,0.00083227543,0.0006513336],"category_scores_gemma":[0.00014774717,0.0008482851,0.00063236797,0.0058527077,0.012528034,0.0011319186,0.00005553951,0.00053449674,0.000030387284],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043108663,0.00010716889,0.9122084,0.0002303307,0.0003596476,0.00023006632,0.062115338,0.00004827217,0.000050881565,0.0105879335,0.0031584927,0.010860377],"study_design_scores_gemma":[0.0004752101,0.000115677445,0.71974087,0.00020901073,0.00045246014,0.00003252323,0.12604518,0.00035898716,0.000116137395,0.013204904,0.13828495,0.00096408674],"about_ca_topic_score_codex":0.99751025,"about_ca_topic_score_gemma":0.9999343,"teacher_disagreement_score":0.19246751,"about_ca_system_score_codex":0.0009380921,"about_ca_system_score_gemma":0.0030125072,"threshold_uncertainty_score":0.9993968},"labels":[],"label_agreement":null},{"id":"W2810189044","doi":"10.1016/j.jth.2018.05.087","title":"Investigation of Well-Being, Travel Behaviour, Built Environment and Lifestyle Preferences","year":2018,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Ordered probit; TRIPS architecture; Built environment; Travel behavior; Psychology; Multivariate probit model; Nova scotia; Probit; Life satisfaction; Applied psychology; Environmental health; Geography; Transport engineering; Social psychology; Medicine; Engineering; Econometrics; Economics","score_opus":0.03389861907042296,"score_gpt":0.30423709917170283,"score_spread":0.27033848010127987,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2810189044","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958276,0.0004800133,0.00044429442,0.001884454,0.00019426852,0.00016487455,0.000008131112,0.000007162999,0.0009891619],"genre_scores_gemma":[0.9972247,0.0010057244,0.0011786531,0.00017730794,0.0002905259,0.0000011134172,0.000003995499,0.0000072864323,0.00011068685],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99814284,0.00011528524,0.0007974187,0.00015510713,0.0005438221,0.0002455023],"domain_scores_gemma":[0.99875045,0.000035000805,0.0006647728,0.000108422166,0.00010162696,0.0003397299],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017260908,0.0001055642,0.00033634022,0.00009299981,0.00025850744,0.000012567054,0.00020798763,0.00008803464,0.00024985598],"category_scores_gemma":[0.000009123755,0.000089590176,0.00008823325,0.00012430605,0.0006796608,0.0003321911,0.000003475328,0.00019622987,0.0000017267761],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037064186,0.00005901861,0.9792935,0.00005340048,0.000012974983,0.0000028358108,0.018594481,6.511204e-7,0.00015359775,0.00020691025,0.00007609358,0.0015094305],"study_design_scores_gemma":[0.00031437507,0.00047087765,0.9930088,0.00010522244,0.000046090758,0.0000016046636,0.0012051543,0.0000013975152,0.0009801708,0.0023831585,0.0014025012,0.000080650265],"about_ca_topic_score_codex":0.0041660126,"about_ca_topic_score_gemma":0.004813495,"teacher_disagreement_score":0.017389325,"about_ca_system_score_codex":0.000062737374,"about_ca_system_score_gemma":0.0006007753,"threshold_uncertainty_score":0.6297793},"labels":[],"label_agreement":null},{"id":"W2810222588","doi":"10.1155/2018/4941029","title":"Innovative Bike-Sharing in China: Solving Faulty Bike-Sharing Recycling Problem","year":2018,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Bike sharing; Beijing; Cluster analysis; Solver; Flexibility (engineering); Computer science; Operations research; Transport engineering; Simulation; Engineering; China","score_opus":0.02378189203688384,"score_gpt":0.3300431642512454,"score_spread":0.30626127221436156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2810222588","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9943294,0.0001217088,0.0025104394,0.00029437893,0.00055657123,0.00025175174,0.0000050781614,0.000041193627,0.0018894655],"genre_scores_gemma":[0.9898371,0.000090271,0.009412439,0.00004031745,0.00049189926,0.0000052654027,0.000011178415,0.000020172693,0.00009136367],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976013,0.000039951196,0.0011236431,0.0003198272,0.0005188975,0.0003964047],"domain_scores_gemma":[0.9982117,0.000054619144,0.0008261994,0.00013862587,0.0006571051,0.00011177446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014575636,0.0001696149,0.000345393,0.00033804786,0.0003634256,0.00007261059,0.00038973425,0.000120533616,0.00006302785],"category_scores_gemma":[0.00011756229,0.00016254351,0.00010833056,0.0014595126,0.00018196218,0.00224567,0.0000053521203,0.0004748054,0.0000026342416],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024426484,0.00013284216,0.9214177,0.00006586159,0.00003071783,0.00004126012,0.056952138,0.0028988754,0.006515747,0.0011171206,0.000007035587,0.010576417],"study_design_scores_gemma":[0.0010280615,0.00012132668,0.98183686,0.000520921,0.000025512187,8.070601e-7,0.0044645984,0.00005581037,0.001991775,0.008954753,0.00077578146,0.00022381994],"about_ca_topic_score_codex":0.0005198301,"about_ca_topic_score_gemma":0.010336369,"teacher_disagreement_score":0.060419112,"about_ca_system_score_codex":0.0002029284,"about_ca_system_score_gemma":0.00018607458,"threshold_uncertainty_score":0.6628332},"labels":[],"label_agreement":null},{"id":"W2810358073","doi":"10.1177/0361198118783123","title":"Automated Validation and Interpolation of Long-Duration Bicycle Counting Data","year":2018,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Extrapolation; Interpolation (computer graphics); Metric (unit); Term (time); Calibration; Statistics; Poison control; Computer science; Data collection; Cycling; Simulation; Mathematics; Engineering; Operations management; Geography; Artificial intelligence; Medicine","score_opus":0.1621455869638798,"score_gpt":0.4626658521490607,"score_spread":0.30052026518518093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2810358073","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99354774,0.00012564404,0.0025301354,0.0020529,0.0004626419,0.0007676822,0.00008052737,0.00005585719,0.00037689816],"genre_scores_gemma":[0.9974897,0.00031452268,0.0015027797,0.000016835429,0.0003664782,0.000010345807,0.000074975855,0.000025678268,0.00019869494],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99283653,0.0014406979,0.0015085666,0.00042197588,0.0032075963,0.00058463676],"domain_scores_gemma":[0.9924714,0.000817218,0.00078465545,0.0005691239,0.0051138243,0.00024380577],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010462571,0.00016193996,0.00034109753,0.00071232556,0.0011563465,0.00019089255,0.0012760408,0.0001987076,0.0003429681],"category_scores_gemma":[0.00059325027,0.00013173431,0.00012835894,0.0021607743,0.002010287,0.0021261037,0.000014159968,0.0009107819,0.00000774893],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00061291666,0.00015602131,0.9776537,0.0001615253,0.000072943425,0.000008564566,0.009357423,0.000023073992,0.003845977,0.0010163737,0.001569274,0.005522201],"study_design_scores_gemma":[0.000694701,0.00026666746,0.9874223,0.00030519575,0.000057121568,9.639169e-8,0.0035916981,0.001346091,0.0025229964,0.0017370862,0.0019273766,0.0001286728],"about_ca_topic_score_codex":0.030643374,"about_ca_topic_score_gemma":0.18677118,"teacher_disagreement_score":0.15612781,"about_ca_system_score_codex":0.00013258195,"about_ca_system_score_gemma":0.000839925,"threshold_uncertainty_score":0.97581166},"labels":[],"label_agreement":null},{"id":"W2810632793","doi":"10.1155/2018/3981845","title":"Exploring the Intermodal Relationship between Taxi and Subway in Beijing, China","year":2018,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Taxis; Beijing; TRIPS architecture; Transport engineering; China; Public transport; Subway station; Bridge (graph theory); Geography; Engineering","score_opus":0.07436805611045995,"score_gpt":0.3309033764028197,"score_spread":0.25653532029235976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2810632793","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976265,0.00008005329,0.00088012643,0.0007539685,0.0002900516,0.000101799014,0.000004210528,0.000009064378,0.0002542723],"genre_scores_gemma":[0.9989542,0.000050407052,0.00054965203,0.0000134576185,0.00039370416,0.0000030305218,0.000004049957,0.0000057484467,0.00002580119],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99903464,0.00006538149,0.00042138898,0.00009613711,0.00024379695,0.00013865154],"domain_scores_gemma":[0.9993766,0.00015449237,0.00024693777,0.000063231026,0.000097558914,0.00006116384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007676117,0.00006634373,0.0001327684,0.000094280644,0.00025331788,0.000027593165,0.00013635673,0.00003379349,0.000014314686],"category_scores_gemma":[0.00009676662,0.000050005056,0.000050513707,0.0002769165,0.0002220074,0.0013520202,0.0000011205326,0.00023491152,7.4160374e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046212925,0.000012671089,0.96393925,0.0000071957174,0.000004681135,0.0000035083347,0.028811008,0.000045473244,0.00005347916,0.0008893207,0.000001978559,0.006185204],"study_design_scores_gemma":[0.00032942928,0.0000611704,0.9923046,0.00006360417,0.000021637716,2.1078867e-7,0.0026947584,0.0000010497115,0.00008872286,0.003899438,0.0004778652,0.000057499736],"about_ca_topic_score_codex":0.00013813128,"about_ca_topic_score_gemma":0.0061880937,"teacher_disagreement_score":0.028365346,"about_ca_system_score_codex":0.00004278191,"about_ca_system_score_gemma":0.000057494926,"threshold_uncertainty_score":0.34531015},"labels":[],"label_agreement":null},{"id":"W2811051341","doi":"10.1016/j.jth.2018.05.021","title":"Estimating the Health Benefits of a Proposed Regional Transportation Plan","year":2018,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Public Health; Barrie Urology Group; Public Health Ontario","funders":"","keywords":"Census; Population; TRIPS architecture; Transit (satellite); Investment (military); Estimation; Public transport; Business; Geography; Public health; Environmental health; Government (linguistics); Population health; Transport engineering; Medicine; Economics; Engineering; Political science","score_opus":0.06208897135923124,"score_gpt":0.3552411720509371,"score_spread":0.29315220069170583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2811051341","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9728553,0.001064284,0.0032292523,0.021599485,0.0005511786,0.00041815627,0.000047463793,0.000022646982,0.00021221506],"genre_scores_gemma":[0.9926217,0.0001768438,0.0052724183,0.00099188,0.0008662472,0.0000014665234,0.000018701814,0.000013297832,0.000037452188],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968427,0.00017998183,0.0014299535,0.0001762505,0.00094690523,0.00042423102],"domain_scores_gemma":[0.99738985,0.00008049301,0.0016107572,0.0001720993,0.00044093424,0.00030587867],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037032813,0.00013730583,0.0004891389,0.000107946966,0.00074748904,0.000014934343,0.0004322833,0.00007653074,0.00009690064],"category_scores_gemma":[0.000021305643,0.00009551719,0.00021668109,0.00043418186,0.00051398645,0.0003528506,0.000001103831,0.00032552375,0.000001238515],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00066996965,0.00052037794,0.8147692,0.00049579656,0.000082274564,0.0000069259418,0.13783552,0.00027305272,0.000030917967,0.0040376745,0.0014978963,0.039780412],"study_design_scores_gemma":[0.00071395247,0.0009831095,0.98759514,0.0004868804,0.000035984824,0.00000408735,0.002226838,0.00003678713,0.00005147425,0.0011904223,0.006553439,0.0001218711],"about_ca_topic_score_codex":0.0055766334,"about_ca_topic_score_gemma":0.029637208,"teacher_disagreement_score":0.17282596,"about_ca_system_score_codex":0.00013295768,"about_ca_system_score_gemma":0.0029046373,"threshold_uncertainty_score":0.98806936},"labels":[],"label_agreement":null},{"id":"W2811248280","doi":"10.1016/j.jth.2018.05.031","title":"Connecting Cycling to Transit: A Typology of Toronto Region Commuter Rail Passengers","year":2018,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Cycling; Transport engineering; Recreation; TRIPS architecture; Business; Service (business); Geography; Engineering; Marketing","score_opus":0.04705121575222858,"score_gpt":0.3712170402050039,"score_spread":0.3241658244527753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2811248280","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97793514,0.00074458594,0.007170023,0.0104236705,0.00082361,0.00022592771,0.000006670881,0.000023329963,0.0026470541],"genre_scores_gemma":[0.99589217,0.00030044385,0.0021229743,0.00093981274,0.00069292245,8.843195e-7,0.0000017489151,0.000014185644,0.000034871362],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977361,0.00020233447,0.001057224,0.00017340979,0.00040380048,0.00042715258],"domain_scores_gemma":[0.9983514,0.00011154473,0.0006236181,0.00018084941,0.00034862515,0.00038394693],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023106982,0.00012546848,0.0005624942,0.000069768124,0.0003907714,0.000011025568,0.00036300535,0.000122018944,0.0002828256],"category_scores_gemma":[0.000038499467,0.00011257881,0.00022572589,0.00017999567,0.00020465384,0.00038896312,0.000003345733,0.00024883347,0.0000017812682],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015478336,0.00062545977,0.63053256,0.00036838077,0.00019153976,0.00009672126,0.3128977,0.000042396,0.0013073819,0.0019301756,0.0014015392,0.049058303],"study_design_scores_gemma":[0.0026947986,0.0033510153,0.84577066,0.00092787173,0.0001928146,0.00003696277,0.039741196,0.00001460692,0.00127333,0.0011154066,0.10429873,0.00058262545],"about_ca_topic_score_codex":0.020699712,"about_ca_topic_score_gemma":0.1817551,"teacher_disagreement_score":0.27315652,"about_ca_system_score_codex":0.00022345473,"about_ca_system_score_gemma":0.00063382415,"threshold_uncertainty_score":0.98582155},"labels":[],"label_agreement":null},{"id":"W2811475875","doi":"10.1016/j.jth.2018.05.080","title":"Incorporating Community Voices on Infrastructure Barriers to a Spatial Analysis of Accessibility to Food Outlets: A Mixed-Method Approach","year":2018,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Mount Saint Vincent University; Dalhousie University","funders":"","keywords":"Residence; Nova scotia; Geography; Population; Business; Transport engineering; Environmental health; Engineering; Medicine; Sociology","score_opus":0.03605655955228374,"score_gpt":0.36913481387691655,"score_spread":0.3330782543246328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2811475875","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93625736,0.000031933057,0.060443357,0.001427488,0.00037228008,0.000462182,0.00018756845,0.000024052568,0.0007938011],"genre_scores_gemma":[0.9724248,0.000005084255,0.025792098,0.0013578252,0.00037151336,0.0000049675273,0.00001816133,0.000015670685,0.000009849778],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9950795,0.0012110736,0.0017140086,0.0003458649,0.0011412803,0.00050824],"domain_scores_gemma":[0.9957956,0.0002245082,0.0013955818,0.0005417908,0.0006997407,0.0013427575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009056268,0.0002534278,0.0011999278,0.0007224182,0.001036083,0.000050146773,0.0011161959,0.00018022933,0.00018396131],"category_scores_gemma":[0.0004406419,0.0002111639,0.00047666463,0.0027770633,0.00033534106,0.00040146575,0.00002591253,0.0008473298,9.2281516e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006308379,0.00033898157,0.9205952,0.00015008915,0.0004217144,0.0000022968218,0.063971415,0.0010986672,0.000068943,0.00014524689,0.000119409546,0.012457146],"study_design_scores_gemma":[0.0003971313,0.0015254902,0.98607844,0.000100109624,0.00033246077,4.4427068e-7,0.009785572,0.000089375244,0.00018241328,0.0006650498,0.00065084966,0.0001926645],"about_ca_topic_score_codex":0.020370888,"about_ca_topic_score_gemma":0.12413441,"teacher_disagreement_score":0.10376352,"about_ca_system_score_codex":0.0003480498,"about_ca_system_score_gemma":0.0020281754,"threshold_uncertainty_score":0.9861525},"labels":[],"label_agreement":null},{"id":"W2813113916","doi":"10.1186/s12889-018-5772-3","title":"The relationship between objectively-measured attributes of the built environment and selected cardiovascular risk factors in a South African urban setting","year":2018,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Cape Town; Fonds National de la Recherche Luxembourg; McMaster University; Medical Research Council; South African Medical Research Council; Hamilton Health Sciences","keywords":"Medicine; Biostatistics; Blood pressure; Body mass index; Cohort; Epidemiology; Demography; Cohort study; Prospective cohort study; Gerontology; Environmental health; Internal medicine","score_opus":0.0795882760551249,"score_gpt":0.2950641627235377,"score_spread":0.21547588666841277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2813113916","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968194,0.0006241695,0.00052829296,0.0011410309,0.000054485783,0.0005740835,0.00006851199,0.000029340667,0.00016068394],"genre_scores_gemma":[0.99968433,0.000013685567,0.000090352165,0.000009787934,0.00013720518,0.000012923643,0.000006646047,0.000007821937,0.00003721723],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.996502,0.0018185325,0.00038350467,0.0002812907,0.00054124556,0.00047342796],"domain_scores_gemma":[0.99819046,0.0009243351,0.00027927133,0.00035398896,0.00008519741,0.00016674583],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0064803297,0.000105343825,0.00024002155,0.000055476485,0.0015893311,0.00006842185,0.0003159484,0.000085896965,0.00000546101],"category_scores_gemma":[0.0028828236,0.00006551484,0.00011108671,0.00084599317,0.00067021453,0.00015441938,0.00004206201,0.0002657595,0.0000010035667],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002590354,0.000014526119,0.97331816,0.000009990562,0.00002522619,2.0394708e-8,0.025876338,0.0000012035267,3.8770105e-7,0.00014554862,0.00001643975,0.00058959174],"study_design_scores_gemma":[0.00017558112,0.000024293979,0.99095076,0.00001012868,0.000016045198,1.814098e-8,0.0047810213,0.000006269857,0.0000073596557,0.00039277945,0.0035658502,0.00006989336],"about_ca_topic_score_codex":0.017099638,"about_ca_topic_score_gemma":0.017492173,"teacher_disagreement_score":0.021095317,"about_ca_system_score_codex":0.0002707841,"about_ca_system_score_gemma":0.0011365736,"threshold_uncertainty_score":0.99971044},"labels":[],"label_agreement":null},{"id":"W2851112461","doi":"10.1080/01441647.2018.1492778","title":"Accessibility: measurement and application in transportation planning","year":2018,"lang":"en","type":"article","venue":"Transport Reviews","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":243,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Transport engineering; Transportation planning; Public transport; Business; Engineering; Operations management","score_opus":0.08717523324565704,"score_gpt":0.3710805184429413,"score_spread":0.2839052851972843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2851112461","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9777643,0.0062995986,0.00747992,0.00031156323,0.0001140064,0.0013308439,0.0000061089236,0.000084101164,0.006609537],"genre_scores_gemma":[0.99816936,0.0009127205,0.00044148308,0.00012663178,0.00015898344,0.000105639796,0.000023972836,0.00000917345,0.000052057385],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981718,0.00010349995,0.00062782556,0.0004346523,0.00038397734,0.0002782173],"domain_scores_gemma":[0.99940217,0.000014497208,0.00013990504,0.00022732839,0.00009983823,0.00011627294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027953393,0.00014330976,0.00032555338,0.000070729366,0.00023743152,0.000021923948,0.00019839083,0.00009698671,0.0001289239],"category_scores_gemma":[0.000024465802,0.00012962088,0.000070384325,0.00044097228,0.00031670713,0.00042166514,0.000001360722,0.00012391064,0.000016760105],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023944545,0.000057807723,0.946987,0.00010608765,0.0000031352174,0.000001875244,0.009029716,4.8751224e-7,0.00018719811,0.00045208712,0.000024639938,0.043126043],"study_design_scores_gemma":[0.00021036851,0.000017791355,0.8821155,0.0001346523,0.0000279062,4.1499625e-8,0.00022143421,0.00000735432,0.00007952501,0.00090924464,0.11613224,0.00014399132],"about_ca_topic_score_codex":0.0023691477,"about_ca_topic_score_gemma":0.06409626,"teacher_disagreement_score":0.1161076,"about_ca_system_score_codex":0.00008580792,"about_ca_system_score_gemma":0.00009629254,"threshold_uncertainty_score":0.95298153},"labels":[],"label_agreement":null},{"id":"W2882970972","doi":"10.5539/res.v10n3p117","title":"Patterns of Traffic Accidents Among Elderly Pedestrians in Sweden","year":2018,"lang":"en","type":"article","venue":"Review of European Studies","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Pedestrian; Geography; Daylight; Transport engineering; Environmental health; Demography; Cartography; Socioeconomics; Medicine; Engineering; Sociology; Archaeology","score_opus":0.07994855253603743,"score_gpt":0.384687029289267,"score_spread":0.30473847675322957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2882970972","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.940262,0.046311654,0.000002544975,0.00015793712,0.00012087,0.00026940464,0.0000056009862,0.0000166531,0.012853287],"genre_scores_gemma":[0.91292244,0.08655736,0.000019538415,0.000047482554,0.00013731055,0.0000024937997,0.0000013675249,0.000007359517,0.0003046634],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984325,0.00040841207,0.0005579359,0.00017995744,0.00024986189,0.00017130745],"domain_scores_gemma":[0.9992496,0.00007118052,0.0002610936,0.00019233802,0.00018990635,0.000035918114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015823321,0.00009464534,0.0004299163,0.000042671025,0.000089211615,0.0000072120397,0.00032985295,0.000015387412,0.00009537587],"category_scores_gemma":[0.00033574583,0.00007511026,0.00011093666,0.0002710942,0.00034626885,0.00015863297,0.000046208643,0.000061873216,0.000017332562],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004438556,0.000081278595,0.96382076,0.0024544206,0.00004658298,0.00000795038,0.0075924904,1.7939887e-7,0.0000061306705,0.000040585895,0.0006624631,0.025282742],"study_design_scores_gemma":[0.00016062328,0.00008086779,0.98424846,0.007843257,0.00005970923,5.1557276e-8,0.002303421,1.5541082e-7,0.00001862414,0.000013813638,0.0051756916,0.00009532556],"about_ca_topic_score_codex":0.00029901997,"about_ca_topic_score_gemma":0.004911331,"teacher_disagreement_score":0.040245704,"about_ca_system_score_codex":0.000020577705,"about_ca_system_score_gemma":0.000031158717,"threshold_uncertainty_score":0.30629078},"labels":[],"label_agreement":null},{"id":"W2882989630","doi":"10.1080/17535069.2018.1495758","title":"The role of policy learning in urban mobility adaptation: exploring Vancouver’s plan to remove the Georgia and Dunsmuir viaducts","year":2018,"lang":"en","type":"article","venue":"Urban Research & Practice","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Boulevard; Plan (archaeology); Policy learning; Public administration; Environmental planning; Redistribution (election); Urban space; Public space; Urban planning; Public policy; Marsh; Geography; Political science; Regional science; Transport engineering; Civil engineering; Engineering; Archaeology; Computer science; Law; Architectural engineering; Politics","score_opus":0.10673740355300322,"score_gpt":0.39713593305568246,"score_spread":0.29039852950267925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2882989630","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93739706,0.0008976446,0.000028126242,0.010577048,0.0001951449,0.0008644663,0.000003967372,0.000044971483,0.04999157],"genre_scores_gemma":[0.99665654,0.00018792217,0.0001785475,0.00007891634,0.000672099,0.00007120935,0.0000010704496,0.0000130594,0.0021406638],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99546254,0.0019249823,0.00035207794,0.00041420403,0.0011541296,0.00069205626],"domain_scores_gemma":[0.99356216,0.0048406487,0.00014901074,0.0004745835,0.0007668041,0.00020680693],"candidate_categories":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.012132203,0.00011642843,0.00015785733,0.00015149721,0.0020246264,0.00023315584,0.0006497939,0.00007739977,0.00004539094],"category_scores_gemma":[0.0166527,0.000079939375,0.000037166934,0.0015076561,0.0014170073,0.0012430894,0.00016844552,0.00081733766,0.000022117665],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016123799,0.00037128225,0.47782877,0.00004977271,0.000059884875,0.000016711178,0.42080557,0.00004114439,0.0008008434,0.036420967,0.0036649613,0.05832771],"study_design_scores_gemma":[0.00023724396,0.00024136278,0.16500996,0.000044906745,0.000011104245,5.2904426e-7,0.18630108,0.00021577455,0.0006000555,0.0043012416,0.6428908,0.00014592029],"about_ca_topic_score_codex":0.05534868,"about_ca_topic_score_gemma":0.06220924,"teacher_disagreement_score":0.63922584,"about_ca_system_score_codex":0.00028420018,"about_ca_system_score_gemma":0.0011436681,"threshold_uncertainty_score":0.9992746},"labels":[],"label_agreement":null},{"id":"W2883053297","doi":"10.3389/fpubh.2018.00216","title":"Quantification of Free-Living Community Mobility in Healthy Older Adults Using Wearable Sensors","year":2018,"lang":"en","type":"article","venue":"Frontiers in Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Montréal; Institut Universitaire de Gériatrie de Montréal; Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean; Université de Sherbrooke; Centre Hospitalier Universitaire de Sherbrooke","funders":"Canadian Institutes of Health Research","keywords":"Wearable computer; Medicine; Gerontology; Wearable technology; Physical medicine and rehabilitation; Computer science; Embedded system","score_opus":0.07083638999292359,"score_gpt":0.3503404909061257,"score_spread":0.2795041009132021,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2883053297","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9914213,0.00028807684,0.0037920643,0.0021752436,0.00078837934,0.0006333995,0.00001816624,0.000045895078,0.0008374734],"genre_scores_gemma":[0.99522597,0.00008636374,0.004337788,0.0002123422,0.000081351325,0.000010038635,0.000007497233,0.000010243655,0.000028407892],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9956435,0.0021681215,0.00079043047,0.0003179133,0.00037684603,0.0007031878],"domain_scores_gemma":[0.998411,0.00016107324,0.000326003,0.0006604089,0.00020169435,0.00023981277],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010687928,0.00011624448,0.00038882898,0.0003068743,0.0006575028,0.00004242451,0.00056113285,0.00015766315,0.00006697204],"category_scores_gemma":[0.00088912656,0.00012770017,0.000049092763,0.0013380498,0.00073050574,0.0006151508,0.000047519487,0.00047529073,0.0000012820998],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043281438,0.00063469,0.95129114,0.00017329978,0.000003457021,1.8160267e-7,0.042315762,0.0000062087165,0.0000029404596,0.00017615106,0.0004896146,0.004863296],"study_design_scores_gemma":[0.00042784793,0.000077184006,0.96496964,0.00023978858,0.0000013522733,6.034923e-8,0.030515235,0.002229756,0.000009199996,0.00067044527,0.00074281887,0.000116704476],"about_ca_topic_score_codex":0.20576425,"about_ca_topic_score_gemma":0.1263398,"teacher_disagreement_score":0.07942447,"about_ca_system_score_codex":0.0008507225,"about_ca_system_score_gemma":0.0016548312,"threshold_uncertainty_score":0.88960224},"labels":[],"label_agreement":null},{"id":"W2883122544","doi":"10.1007/s11524-018-0300-4","title":"Correction to: Talking the Walk: Perceptions of Neighborhood Characteristics from Users of Open Streets Programs in Latin America and the USA","year":2018,"lang":"en","type":"erratum","venue":"Journal of Urban Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Children's Hospital of Eastern Ontario","funders":"","keywords":"Latin Americans; Perception; Psychology; Computer science; Political science; Law","score_opus":0.04402714687239713,"score_gpt":0.34651568023721285,"score_spread":0.30248853336481574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2883122544","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9616796,0.0012276991,0.00021285494,0.00786715,0.02198253,0.002157104,0.00020550142,0.000009761929,0.004657846],"genre_scores_gemma":[0.99418163,0.0012027395,0.00022696688,0.00025569322,0.0016476876,0.000007390854,0.000033010427,0.000014671366,0.0024302297],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99727994,0.00059367664,0.0011277886,0.00018548129,0.00054897746,0.00026414832],"domain_scores_gemma":[0.99664783,0.00032872675,0.0023223949,0.0002423244,0.0003072625,0.00015147425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018263382,0.00015306071,0.0007719702,0.00010809082,0.00035187096,0.00013557561,0.00086119655,0.00013523843,0.00013721026],"category_scores_gemma":[0.00035219835,0.0000908793,0.00014173794,0.00047735765,0.00071527634,0.00024279041,0.00007679994,0.0008541586,8.3724734e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020356294,0.00017043139,0.84325373,0.000053496482,0.000046553774,0.0000012879628,0.039221197,6.108102e-7,0.0000027341086,0.0000427192,0.09647649,0.020527164],"study_design_scores_gemma":[0.00043093495,0.00033595055,0.95669836,0.0009161049,0.000059323727,5.077279e-7,0.007926177,0.000047831913,3.8113953e-7,0.00021893719,0.033272587,0.00009292683],"about_ca_topic_score_codex":0.05977955,"about_ca_topic_score_gemma":0.07918606,"teacher_disagreement_score":0.11344458,"about_ca_system_score_codex":0.00019368311,"about_ca_system_score_gemma":0.0016353376,"threshold_uncertainty_score":0.94648147},"labels":[],"label_agreement":null},{"id":"W2883326562","doi":"10.1186/s12889-018-5858-y","title":"Residential moves, neighbourhood walkability, and physical activity: a longitudinal pilot study in Ontario Canada","year":2018,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University; Queen's University","funders":"Ontario Ministry of Health and Long-Term Care","keywords":"Walkability; Neighbourhood (mathematics); Longitudinal study; Built environment; Biostatistics; Medicine; Recreation; Level design; Gerontology; Population; Physical activity; Sample (material); Demography; Environmental health; Public health; Physical therapy; Multimedia","score_opus":0.09600876652527207,"score_gpt":0.3512346761202592,"score_spread":0.25522590959498714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2883326562","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99202985,0.000013813891,0.00002567189,0.004127177,0.0002529961,0.00069301465,0.0000077362365,0.000037272373,0.0028124752],"genre_scores_gemma":[0.9990191,0.0000011168044,0.000037141846,0.00012891715,0.00037808763,0.000019859026,0.0000026025332,0.000008122748,0.00040508783],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974505,0.00039642886,0.0002653545,0.00053702947,0.00063570845,0.00071499543],"domain_scores_gemma":[0.99892217,0.00013074893,0.00011208984,0.00024750296,0.0001000005,0.0004874871],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019953041,0.0001412251,0.0003268122,0.00007289988,0.0006022607,0.00019684223,0.00027256078,0.000033618457,0.00027495465],"category_scores_gemma":[0.0001576849,0.00013481796,0.000025164401,0.00040903135,0.00030980966,0.0005986477,0.00007213531,0.00030896917,0.0000023537164],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052567535,0.0014327216,0.9872993,0.000016067037,0.0000067523256,0.0000035647042,0.008615586,5.101479e-8,0.000001541498,0.00035317685,0.00032546176,0.0018931733],"study_design_scores_gemma":[0.00055443903,0.0006148295,0.99508977,0.000006271037,0.0000039976912,1.9851412e-7,0.001762523,0.00001058015,0.0000012648975,0.0005121588,0.0013167794,0.00012716663],"about_ca_topic_score_codex":0.9996633,"about_ca_topic_score_gemma":0.9999966,"teacher_disagreement_score":0.015653927,"about_ca_system_score_codex":0.0017825869,"about_ca_system_score_gemma":0.017436514,"threshold_uncertainty_score":0.9881337},"labels":[],"label_agreement":null},{"id":"W2883528476","doi":"10.1111/cag.12482","title":"Spatial equity in accessing secondary education: Evidence from a gravity‐based model","year":2018,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of British Columbia; Asia Pacific Foundation of Canada","funders":"National Natural Science Foundation of China","keywords":"Equity (law); Neighbourhood (mathematics); China; Geography; Social equality; Salient; Inequality; Spatial inequality; Economic growth; Educational equity; Regional science; Political science; Psychology; Pedagogy; Economics","score_opus":0.03274546960905425,"score_gpt":0.30212295746566886,"score_spread":0.26937748785661464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2883528476","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98016876,0.0026442218,0.00009632675,0.0025233862,0.0013588367,0.0005255051,0.0002736481,0.00012483973,0.012284452],"genre_scores_gemma":[0.9966372,0.00026286527,0.0006299016,0.0013682964,0.0006923098,0.00009357884,0.000103110935,0.000034383786,0.00017834762],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9963392,0.00019753062,0.0005617546,0.0009020385,0.00047959495,0.0015198605],"domain_scores_gemma":[0.996986,0.00021005899,0.00018349249,0.0006870577,0.00043243292,0.0015009705],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0007744305,0.00038910328,0.0004336198,0.002917987,0.0017915859,0.00046085595,0.0012467868,0.00031938113,0.00068852113],"category_scores_gemma":[0.00027716107,0.00044355888,0.00026022803,0.0053496617,0.004319009,0.0012704231,0.000059580972,0.00041422746,0.000009822105],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038540824,0.000052992855,0.94881797,0.000037039415,0.000027643142,0.000024472365,0.0070216553,0.000013702609,0.00002620743,0.0010566314,0.0020437124,0.040839456],"study_design_scores_gemma":[0.0003449999,0.00006383627,0.95293576,0.00041476928,0.00006722376,5.2943807e-7,0.00801711,0.00044824698,0.00005523389,0.023086267,0.013718869,0.0008471462],"about_ca_topic_score_codex":0.9907519,"about_ca_topic_score_gemma":0.9999535,"teacher_disagreement_score":0.03999231,"about_ca_system_score_codex":0.00042342892,"about_ca_system_score_gemma":0.007098586,"threshold_uncertainty_score":0.99980164},"labels":[],"label_agreement":null},{"id":"W2883648033","doi":"10.1016/j.socscimed.2018.07.032","title":"Supporting active school travel: A qualitative analysis of implementing a regional safe routes to school program","year":2018,"lang":"en","type":"article","venue":"Social Science & Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lawson Health Research Institute; Children's Hospital of Western Ontario; Children’s Health Research Institute; Western University","funders":"Children's Heart Foundation","keywords":"Grassroots; Thematic analysis; Focus group; Context (archaeology); Psychological intervention; Health promotion; Qualitative research; Sustainability; Public relations; Action plan; Program evaluation; Promotion (chess); Medical education; Public health; Sociology; Medicine; Political science; Business; Public administration; Nursing; Politics; Marketing; Management; Geography","score_opus":0.06314803609785197,"score_gpt":0.48821898596319163,"score_spread":0.42507094986533966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2883648033","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9550527,0.00001903153,0.0005604136,0.004816348,0.00013262268,0.0006806291,0.000022334181,0.00006897417,0.038646974],"genre_scores_gemma":[0.9974977,0.0000019529607,0.00045199305,0.00050942774,0.0010667753,0.00004311544,0.000015299143,0.0000069667235,0.00040678438],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9956925,0.00024177447,0.00069984735,0.0006033805,0.0017904744,0.00097205926],"domain_scores_gemma":[0.99744767,0.00019905259,0.00050022826,0.00018181239,0.0010939785,0.00057725346],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.0077453153,0.00016219317,0.0005321137,0.00054971245,0.0019248512,0.000067740366,0.00074281456,0.000077469005,0.002322374],"category_scores_gemma":[0.003040918,0.00013497741,0.00017378389,0.008462882,0.005280528,0.0006600723,0.000059682647,0.00018389903,0.000011102097],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007617065,0.00013224054,0.25312465,0.000011238891,0.00018620079,0.0000017058253,0.7088319,1.9607216e-7,0.004375872,0.0051711993,0.0011257156,0.026962897],"study_design_scores_gemma":[0.00040490236,0.00029454482,0.5991755,0.00005262652,0.00044608102,5.989199e-8,0.3920228,0.0000378218,0.00063409255,0.0028066812,0.0038834745,0.00024140722],"about_ca_topic_score_codex":0.013907666,"about_ca_topic_score_gemma":0.013020051,"teacher_disagreement_score":0.3460509,"about_ca_system_score_codex":0.00034305194,"about_ca_system_score_gemma":0.0013597274,"threshold_uncertainty_score":0.9993745},"labels":[],"label_agreement":null},{"id":"W2883979846","doi":"10.1016/j.compenvurbsys.2018.07.005","title":"Future access to essential services in a growing smart city: The case of Surrey, British Columbia","year":2018,"lang":"en","type":"article","venue":"Computers Environment and Urban Systems","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":69,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"Pacific Institute for Climate Solutions","keywords":"Equity (law); Census; Geography; Population; Smart city; Investment (military); Business; Distribution (mathematics); Economic growth; Political science; Environmental health; Computer science; Medicine; Economics","score_opus":0.011766958922056826,"score_gpt":0.23884900274014012,"score_spread":0.2270820438180833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2883979846","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99699265,0.00057161937,0.0002675221,0.00023951424,0.0009922392,0.00052752736,0.000014989566,0.000020305537,0.0003736613],"genre_scores_gemma":[0.99857926,0.00003127033,0.000031724452,0.00011427947,0.0009459174,0.0000168204,0.000004507433,0.0000077792465,0.00026844518],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99875104,0.0001614458,0.00029997528,0.0003212439,0.00021117576,0.0002551092],"domain_scores_gemma":[0.9995107,0.000051620893,0.000101629696,0.00020569841,0.00001733688,0.00011300735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005909003,0.00009128176,0.00022578685,0.000031179232,0.00044515115,0.00065238,0.00038580867,0.00007964087,0.00007375694],"category_scores_gemma":[0.0000021323222,0.00010255447,0.00004726108,0.00018614474,0.00032341716,0.00041684607,0.0001305322,0.00008380621,0.0000026946163],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000064656265,0.0000420153,0.9911735,0.0000626259,0.000014740518,0.000085708765,0.005541366,0.0000033309896,0.000015579133,0.000028168643,0.0009730518,0.0020534536],"study_design_scores_gemma":[0.00035392668,0.000049605424,0.9656297,0.00017391505,0.000025765336,0.000016175694,0.004432521,0.00022847267,0.000009798958,0.000044903147,0.028834386,0.00020083573],"about_ca_topic_score_codex":0.18785314,"about_ca_topic_score_gemma":0.23307016,"teacher_disagreement_score":0.04521703,"about_ca_system_score_codex":0.000047041973,"about_ca_system_score_gemma":0.00001921415,"threshold_uncertainty_score":0.817555},"labels":[],"label_agreement":null},{"id":"W2884003471","doi":"10.5539/mas.v12n8p59","title":"Comparison on Turn Costs in Accessibility Models. Case Study: Manizales, Colombia","year":2018,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universidad Nacional de Colombia","keywords":"Order (exchange); Measure (data warehouse); Relevance (law); Computer science; Environmental economics; Operations research; Regional science; Business; Economics; Mathematics; Geography; Political science; Data mining","score_opus":0.07639414923838693,"score_gpt":0.3878388236567376,"score_spread":0.31144467441835066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2884003471","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93927026,0.000018601817,0.0025064729,0.000076061304,0.00023064806,0.0011227038,0.0000063652633,0.00013308859,0.056635793],"genre_scores_gemma":[0.99932176,0.0000012115478,0.00022650788,0.00015402814,0.000111619454,0.000056069337,0.000001473778,0.000012300262,0.00011501888],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99624515,0.00011790457,0.0004911372,0.0011647518,0.0011920403,0.00078903046],"domain_scores_gemma":[0.9985459,0.000099252415,0.00015354514,0.0007034734,0.00020183009,0.00029601017],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0034553455,0.00021426009,0.00034538584,0.00020021692,0.0016198399,0.0003710996,0.0013003193,0.00010980434,0.00009798075],"category_scores_gemma":[0.00006586172,0.00020068682,0.000038816142,0.0017548394,0.0026722576,0.00076663535,0.0001555333,0.00032597955,0.000047056976],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017575499,0.0025131255,0.8862346,0.000011557445,0.0000057972607,0.0002173455,0.08135243,0.00015198995,0.001955542,0.0048273215,0.000111193986,0.022443378],"study_design_scores_gemma":[0.002776975,0.00055701996,0.7320332,0.00005390625,0.00004422772,0.00000779485,0.05714256,0.15464051,0.0025916416,0.048427347,0.000325436,0.001399364],"about_ca_topic_score_codex":0.010923743,"about_ca_topic_score_gemma":0.13078764,"teacher_disagreement_score":0.15448853,"about_ca_system_score_codex":0.0006671053,"about_ca_system_score_gemma":0.0005635369,"threshold_uncertainty_score":0.9996799},"labels":[],"label_agreement":null},{"id":"W2884304973","doi":"10.1177/0361198118783107","title":"Who Are Public Bicycle Share Programs Serving? An Evaluation of the Equity of Spatial Access to Bicycle Share Service Areas in Canadian Cities","year":2018,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":114,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University; University of British Columbia","funders":"Swedish Orphan Biovitrum","keywords":"Disadvantaged; Equity (law); Socioeconomic status; Geography; Service (business); Public transport; Population; Business; Socioeconomics; Economic growth; Transport engineering; Environmental health; Marketing; Medicine; Political science; Engineering; Economics","score_opus":0.30206101440342964,"score_gpt":0.4827618734332216,"score_spread":0.18070085902979194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2884304973","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98531294,0.00007200977,0.000033544027,0.010773263,0.00036960552,0.002421039,0.00036070266,0.000016605101,0.0006402863],"genre_scores_gemma":[0.9991657,0.000044085737,0.00010728667,0.0001123225,0.00027440063,0.00011411007,0.00005240743,0.000037235142,0.00009244555],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98675317,0.0028272762,0.0015992549,0.00051700894,0.00701021,0.0012930636],"domain_scores_gemma":[0.98241407,0.0003026908,0.000769554,0.0007536248,0.014898238,0.0008618274],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.015292099,0.00024402987,0.00055340683,0.0013060326,0.0011552415,0.0003430383,0.003625296,0.00027113195,0.0014141841],"category_scores_gemma":[0.0007555911,0.00018336826,0.00029463353,0.0059073865,0.0011700157,0.0020448167,0.000032018408,0.0012519123,0.000005339214],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042069232,0.00026835618,0.97236913,0.00026989178,0.000047378126,0.000006366993,0.015838362,0.00023803816,0.00024212411,0.00029608878,0.00026247752,0.009741094],"study_design_scores_gemma":[0.00086893863,0.00028910357,0.9828571,0.0010025966,0.00005170355,4.9034625e-8,0.008990414,0.00032268945,0.0009343221,0.0034072069,0.0010982647,0.00017762785],"about_ca_topic_score_codex":0.86265725,"about_ca_topic_score_gemma":0.9983499,"teacher_disagreement_score":0.13569267,"about_ca_system_score_codex":0.0008212632,"about_ca_system_score_gemma":0.006129525,"threshold_uncertainty_score":0.9995048},"labels":[],"label_agreement":null},{"id":"W2884538840","doi":"10.1016/j.jth.2018.04.008","title":"Bringing health into transportation and land use scenario planning: Creating a National Public Health Assessment Model (N-PHAM)","year":2018,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Robert Wood Johnson Foundation; U.S. Environmental Protection Agency","keywords":"Public health; Transportation planning; Business; Agency (philosophy); Environmental justice; Health impact assessment; Environmental planning; Land-use planning; Population health; Urban planning; Population; Land use; Environmental resource management; Environmental health; Geography; Transport engineering; Engineering; Medicine; Economics; Political science","score_opus":0.11455481420761872,"score_gpt":0.4212579190087234,"score_spread":0.3067031048011047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2884538840","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91867524,0.0012670623,0.05251148,0.026317993,0.0002946669,0.0004452209,0.000055928544,0.00006214745,0.00037027572],"genre_scores_gemma":[0.9763924,0.0005614782,0.019667886,0.0027156225,0.0004968976,0.0000037830139,0.000057684654,0.000025073306,0.00007919793],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99564415,0.00025286296,0.001621471,0.00036367163,0.0013316825,0.00078613264],"domain_scores_gemma":[0.99669343,0.00011052348,0.0014448161,0.00012982576,0.0005976532,0.0010237338],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0070721526,0.0002256431,0.000683837,0.00027560678,0.001743007,0.00015157572,0.0002556888,0.00010286753,0.000040593633],"category_scores_gemma":[0.000047793907,0.00021431789,0.00015497419,0.0004467758,0.0002869418,0.0015423496,0.000003719484,0.0005361427,5.059971e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000066084765,0.00023738107,0.9235818,0.00024883938,0.000045973335,0.000008848737,0.06831027,0.00040048396,0.0000059685326,0.0013747975,0.000369995,0.005349559],"study_design_scores_gemma":[0.0010776483,0.0005473153,0.98548293,0.00047875286,0.000015563135,0.0000056487984,0.0021780103,0.002005324,0.0000019653626,0.0012025642,0.006786692,0.00021760302],"about_ca_topic_score_codex":0.0142327,"about_ca_topic_score_gemma":0.037707563,"teacher_disagreement_score":0.06613226,"about_ca_system_score_codex":0.0009919314,"about_ca_system_score_gemma":0.011234791,"threshold_uncertainty_score":0.9995566},"labels":[],"label_agreement":null},{"id":"W2884952108","doi":"10.1016/j.jtrangeo.2018.06.019","title":"Who benefits from bus rapid transit? Evidence from the Metro Bus System (MBS) in Lahore","year":2018,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":37,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Japan International Cooperation Agency; Department for International Development; International Development Research Centre; Lahore University of Management Sciences; William and Flora Hewlett Foundation","keywords":"Bus rapid transit; Public transport; Subsidy; Transport engineering; Government (linguistics); Business; Investment (military); Service (business); Descriptive statistics; Order (exchange); Marketing; Economics; Engineering; Finance","score_opus":0.026931249670443646,"score_gpt":0.2709083579682215,"score_spread":0.24397710829777786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2884952108","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9804786,0.014935781,0.0005005234,0.0017200283,0.0011177055,0.0003064438,0.00029346172,0.000046584326,0.00060090417],"genre_scores_gemma":[0.9963001,0.0012946633,0.00046644153,0.00018393413,0.001706494,0.0000052086884,0.0000130642975,0.00002092618,0.000009166563],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99630475,0.00028693807,0.001207321,0.00041459888,0.001244698,0.0005416744],"domain_scores_gemma":[0.9977966,0.0004729474,0.00054785685,0.00042957577,0.00046492438,0.00028808025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002294641,0.00028560992,0.000701974,0.0002873726,0.00049097696,0.00010633298,0.0013471815,0.00024647283,0.0005522951],"category_scores_gemma":[0.00004449949,0.00020125757,0.000766693,0.0014438444,0.0007215064,0.0010030376,0.000007790989,0.00063548435,0.000007997217],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035010482,0.000104262785,0.9818667,0.000018960764,0.00015935671,0.000083829815,0.010767671,0.000021280777,0.00009901563,0.000056383833,0.0001248613,0.006347561],"study_design_scores_gemma":[0.00071427325,0.00013584824,0.9894558,0.001052576,0.00031860557,9.2537306e-7,0.0036901063,0.000008373055,0.00028661254,0.00040585938,0.0036949369,0.00023605193],"about_ca_topic_score_codex":0.027667824,"about_ca_topic_score_gemma":0.08781869,"teacher_disagreement_score":0.06015087,"about_ca_system_score_codex":0.00008262767,"about_ca_system_score_gemma":0.00025699302,"threshold_uncertainty_score":0.97880703},"labels":[],"label_agreement":null},{"id":"W2885073434","doi":"10.33423/jabe.v20i4.352","title":"Residential Urban Overcrowding in Alexandria, Egypt: A Spatial Econometrics Analysis","year":2018,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Overcrowding; Spatial econometrics; Econometrics; Geography; Crowding; Spatial analysis; Ordinary least squares; Econometric model; Statistics; Economics; Mathematics; Economic growth; Psychology","score_opus":0.020129693392664204,"score_gpt":0.25091469596824534,"score_spread":0.23078500257558113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2885073434","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9913117,0.000081362814,0.0009697383,0.00020184294,0.0003730108,0.00006852239,0.000004963969,0.000004761728,0.0069840695],"genre_scores_gemma":[0.99803394,0.00033427286,0.00028549388,0.000059954353,0.0012345375,9.660288e-7,0.0000022605375,0.0000069697903,0.00004160802],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989011,0.000014675406,0.0005889876,0.00018208736,0.00009133233,0.00022177749],"domain_scores_gemma":[0.9991818,0.000060245613,0.0004154319,0.00010255895,0.00013070065,0.00010923207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009747177,0.000099759935,0.00040503195,0.0006428849,0.0001981577,0.00020378959,0.00020780707,0.0001049499,0.00025073532],"category_scores_gemma":[0.00003602878,0.00009862513,0.0000975249,0.0009321186,0.00022635717,0.0004604917,0.000027730757,0.000121129175,0.0000033091337],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034525237,0.00009794065,0.9812277,0.00001804696,0.00020689024,0.000007126984,0.0041487417,0.00038184106,0.000030592833,0.0034694532,0.00016360964,0.009902828],"study_design_scores_gemma":[0.0008322582,0.000024974883,0.98745924,0.000010853443,0.00022013618,6.6288e-7,0.00092240795,0.00036051933,0.00008103353,0.003338119,0.006558615,0.00019115773],"about_ca_topic_score_codex":0.002297727,"about_ca_topic_score_gemma":0.025329389,"teacher_disagreement_score":0.023031661,"about_ca_system_score_codex":0.0001247881,"about_ca_system_score_gemma":0.00018854642,"threshold_uncertainty_score":0.9924558},"labels":[],"label_agreement":null},{"id":"W2885267123","doi":"10.1007/s11116-018-9910-7","title":"A comparison of users’ characteristics between station-based bikesharing system and free-floating bikesharing system: case study in Hangzhou, China","year":2018,"lang":"en","type":"article","venue":"Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":93,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"National Natural Science Foundation of China","keywords":"Transport engineering; Service (business); Scheme (mathematics); Renting; Engineering; China; Government (linguistics); Computer science; Civil engineering; Business; Geography; Marketing","score_opus":0.05544174428586173,"score_gpt":0.3536753224957482,"score_spread":0.29823357820988644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2885267123","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963027,0.000023004422,0.0022519366,0.000014877778,0.00014287679,0.00081217417,0.00016074615,0.00013139647,0.00016023446],"genre_scores_gemma":[0.9992849,4.2949364e-7,0.00042721708,0.000002451532,0.00013725278,0.00002047702,0.00010280213,0.00001844876,0.0000060099164],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99789286,0.00017177752,0.00089884724,0.0003599332,0.00040697152,0.0002696016],"domain_scores_gemma":[0.99891376,0.00015763032,0.00043252867,0.00022692453,0.00016754922,0.00010160339],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012219648,0.0001647864,0.00045001108,0.00020275953,0.0004352055,0.000070819864,0.00018926905,0.00010331556,0.000013489558],"category_scores_gemma":[0.000042324016,0.00017607289,0.00004576064,0.00051887304,0.0001568979,0.00037024936,0.0000043204045,0.00014798042,0.000001353459],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036695223,0.00010252229,0.9142973,0.0005319515,0.000016316219,0.000065439104,0.084160306,0.00001929502,0.00010545296,0.000117437616,7.9353214e-7,0.0005464917],"study_design_scores_gemma":[0.00080370455,0.000105293926,0.9245998,0.0003348769,0.00011728882,3.5147235e-7,0.07156881,0.0020077475,0.0002931327,0.0000065685645,0.0000028705863,0.00015952485],"about_ca_topic_score_codex":0.06343784,"about_ca_topic_score_gemma":0.12885688,"teacher_disagreement_score":0.06541905,"about_ca_system_score_codex":0.00013698524,"about_ca_system_score_gemma":0.00010849547,"threshold_uncertainty_score":0.9427988},"labels":[],"label_agreement":null},{"id":"W2885305624","doi":"10.1186/s12889-018-5954-z","title":"Development and convergent validity of new self-administered questionnaires of active transportation in three African countries: Kenya, Mozambique and Nigeria","year":2018,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Children's Hospital of Eastern Ontario; University of Lethbridge","funders":"Canadian Institutes of Health Research; International Development Research Centre","keywords":"Biostatistics; Medicine; Public health; Environmental health; Developing country; Epidemiology; Socioeconomics; Economic growth; Nursing","score_opus":0.07683702829484419,"score_gpt":0.3410014564103516,"score_spread":0.26416442811550744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2885305624","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99688935,0.00008701302,0.00094721786,0.0013461603,0.00009722869,0.00038357713,0.000024345094,0.000026107817,0.00019902212],"genre_scores_gemma":[0.9967575,0.00008604855,0.0030007937,0.000060050465,0.000044170712,0.00000892875,0.000012410868,0.0000045526517,0.00002553575],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986371,0.00015383249,0.00049872935,0.00022109675,0.00025410636,0.00023512966],"domain_scores_gemma":[0.9991665,0.00006574947,0.00027464205,0.0001006884,0.00015294549,0.00023948275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001545198,0.00008562106,0.00025152013,0.000081616265,0.00015341869,0.000021225316,0.000095265874,0.00007635511,0.000047827973],"category_scores_gemma":[0.000086519285,0.00008304354,0.000017971044,0.00025127773,0.00030219575,0.00028011613,0.0000058811875,0.000056435412,3.471179e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048032118,0.0000837561,0.8956999,0.00017874113,0.0000070556,2.2378262e-7,0.09936714,2.7001715e-8,0.000005682176,0.0019539704,0.000035265275,0.0026201925],"study_design_scores_gemma":[0.00038379474,0.00009140595,0.98840207,0.000049413175,0.000002975784,5.573392e-8,0.0037858293,0.000006212127,0.00018580175,0.0008165148,0.006200552,0.00007535099],"about_ca_topic_score_codex":0.016435772,"about_ca_topic_score_gemma":0.40768373,"teacher_disagreement_score":0.39124796,"about_ca_system_score_codex":0.00016321984,"about_ca_system_score_gemma":0.004444648,"threshold_uncertainty_score":0.99011385},"labels":[],"label_agreement":null},{"id":"W2885361510","doi":"10.1016/j.ypmed.2018.08.008","title":"Neighborhood walkability and physical activity among older women: Tests of mediation by environmental perceptions and moderation by depressive symptoms","year":2018,"lang":"en","type":"article","venue":"Preventive Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":47,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"National Institute of Environmental Health Sciences; National Cancer Institute; National Institutes of Health; University of Massachusetts Boston","keywords":"Walkability; Mediation; Medicine; Built environment; Moderation; Moderated mediation; Level design; Gerontology; Population; Demography; Odds; Environmental health; Logistic regression; Physical activity; Psychology; Physical therapy; Social psychology","score_opus":0.006091209720573371,"score_gpt":0.2764740993683666,"score_spread":0.2703828896477932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2885361510","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99754626,0.0001446789,0.0012119957,0.00032814176,0.00004779206,0.00037253235,0.000054280208,0.000016856216,0.00027746736],"genre_scores_gemma":[0.9995242,0.000052044084,0.0000079589945,0.000021360578,0.00017797275,0.000036464135,0.000034670524,0.0000053540907,0.00013999177],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998927,0.00017462944,0.0001402411,0.00029776467,0.0002927867,0.00016755129],"domain_scores_gemma":[0.99947864,0.0001290271,0.00012481379,0.00010433966,0.000036625202,0.00012658063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033354273,0.00010584287,0.00020278066,0.000023205163,0.00025674692,0.000011338974,0.00006348449,0.000063080304,0.00027805372],"category_scores_gemma":[0.00009220707,0.00008750091,0.000020998998,0.00007815992,0.0018627816,0.0004377925,0.00002400687,0.000091352886,7.905783e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017537808,0.00032641835,0.9228799,0.000015271567,0.000021340009,9.488037e-8,0.03541042,5.9383286e-8,0.02836017,0.000017041531,0.00017614166,0.012775647],"study_design_scores_gemma":[0.00054938474,0.00016356153,0.9941898,0.000018552048,0.00004066375,6.509372e-8,0.0017565902,0.00028453584,0.0015623457,0.0013239458,0.000025802501,0.00008472627],"about_ca_topic_score_codex":0.00036865642,"about_ca_topic_score_gemma":0.00023702286,"teacher_disagreement_score":0.07130997,"about_ca_system_score_codex":0.00008127241,"about_ca_system_score_gemma":0.000017904764,"threshold_uncertainty_score":0.68634963},"labels":[],"label_agreement":null},{"id":"W2885399386","doi":"10.1139/cjce-2017-0683","title":"Road users’ behavior and safety analysis of pedestrian–bike shared space: case study of Robson Street in Vancouver","year":2018,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"McMaster University; University of British Columbia","funders":"","keywords":"Pedestrian; Shared space; Transport engineering; Space (punctuation); Sign (mathematics); Computer science; Traffic sign; Engineering; Mathematics","score_opus":0.018523329095243155,"score_gpt":0.26294274987748584,"score_spread":0.24441942078224269,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2885399386","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99920803,0.00016777696,0.000075881515,0.000012704658,0.00021588382,0.00012767258,0.000038528135,0.00000297766,0.00015055828],"genre_scores_gemma":[0.9998468,0.0000066917737,0.00005323682,0.000002041377,0.00006675124,0.000001048195,9.4422944e-7,0.000007041739,0.000015407322],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989275,0.00004038852,0.00047936532,0.00011224222,0.00020036218,0.00024015996],"domain_scores_gemma":[0.9990825,0.000041433308,0.00020107749,0.00012396056,0.00018264232,0.00036840516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006340941,0.00009285555,0.0003732086,0.00065523427,0.00007891121,0.00002250615,0.00016201923,0.000065296525,0.00025923617],"category_scores_gemma":[0.00009927208,0.00009489322,0.00008622564,0.0009493587,0.00009648089,0.00027568935,0.0000058857195,0.0001410151,5.126047e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009481013,0.00004469073,0.9828795,0.0000131096895,0.00011843015,0.0005600502,0.01437284,0.0015679587,0.00002537956,0.0000038825333,0.000032156284,0.00037248334],"study_design_scores_gemma":[0.0005782517,0.00012870539,0.9833642,0.00005293863,0.00047244225,0.0000036545227,0.0146715185,0.0004238889,0.000017002047,0.0000028537593,0.00017785176,0.00010665257],"about_ca_topic_score_codex":0.29564098,"about_ca_topic_score_gemma":0.9982888,"teacher_disagreement_score":0.7026478,"about_ca_system_score_codex":0.00014807977,"about_ca_system_score_gemma":0.00047915275,"threshold_uncertainty_score":0.7090494},"labels":[],"label_agreement":null},{"id":"W2885416856","doi":"10.1177/0361198118773197","title":"Learning Daily Activity Sequences of Population Groups using Random Forest Theory","year":2018,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Saint Mary's University; Dalhousie University","funders":"Atlantic Canada Opportunities Agency; Dalhousie University","keywords":"Random forest; Tree (set theory); Computer science; Machine learning; Statistics; Population; Artificial intelligence; Regression; Regression analysis; Mathematics; Demography","score_opus":0.11756438288554502,"score_gpt":0.43201934833775724,"score_spread":0.3144549654522122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2885416856","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99349266,0.00014359163,0.0038264887,0.000683343,0.0005643877,0.00085486006,0.000026741263,0.00003194169,0.00037597032],"genre_scores_gemma":[0.9978014,0.0002736794,0.0009155237,0.00001189212,0.0005193516,0.000016735188,0.000012713806,0.000036751746,0.0004119389],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98881716,0.004212091,0.0013389641,0.00041880982,0.004308964,0.00090403087],"domain_scores_gemma":[0.99198955,0.0017897369,0.00088375364,0.00037300464,0.004617119,0.00034684752],"candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.014644687,0.00022314045,0.0005514931,0.0008005964,0.0020190156,0.00014235685,0.0011715946,0.00026328952,0.00058838225],"category_scores_gemma":[0.0006264395,0.00017236387,0.00047097172,0.0024665296,0.0028043871,0.0015099979,0.0000071073114,0.0018727937,0.000007035577],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003059759,0.00020065266,0.966891,0.0001414673,0.0000885914,0.000019139485,0.012680385,0.0009616448,0.0070452215,0.003280578,0.00009557011,0.0055360007],"study_design_scores_gemma":[0.0013811423,0.00052412704,0.97270894,0.00031489646,0.000077267556,9.694675e-8,0.006490036,0.00021251202,0.0022311257,0.014793473,0.0010905379,0.00017586752],"about_ca_topic_score_codex":0.08056806,"about_ca_topic_score_gemma":0.25021148,"teacher_disagreement_score":0.16964343,"about_ca_system_score_codex":0.0003175073,"about_ca_system_score_gemma":0.0009785859,"threshold_uncertainty_score":0.9999094},"labels":[],"label_agreement":null},{"id":"W2886097645","doi":"10.1016/j.tra.2018.07.012","title":"Changes in bicycling frequency in children and adults after bicycle skills training: A scoping review","year":2018,"lang":"en","type":"review","venue":"Transportation Research Part A Policy and Practice","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"British Columbia Centre of Excellence for Women's Health; Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada; Michael Smith Health Research BC","keywords":"Training (meteorology); Applied psychology; Human factors and ergonomics; Psychology; Injury prevention; Suicide prevention; Aeronautics; Poison control; Occupational safety and health; Transport engineering; Engineering; Gerontology; Medical emergency; Medicine; Geography","score_opus":0.178353696462989,"score_gpt":0.524150291841478,"score_spread":0.345796595378489,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2886097645","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006223444,0.98723316,0.0000013242277,0.0019153914,0.000036639587,0.0033695211,0.00012155915,0.000028651279,0.0010702946],"genre_scores_gemma":[0.0050103413,0.99315953,0.00013215958,0.0002987285,0.00048644262,0.0006569342,0.00013974067,0.000029869512,0.000086263964],"study_design_codex":"design_other","study_design_gemma":"systematic_review","domain_scores_codex":[0.9946922,0.002140638,0.0009064616,0.0007814559,0.00067494385,0.0008043074],"domain_scores_gemma":[0.9964594,0.0025156224,0.00032377822,0.00025442953,0.00017600943,0.00027072395],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.008354495,0.0002982083,0.0010311429,0.0007435795,0.00029672013,0.00013229155,0.0002653676,0.00035031355,0.00016107952],"category_scores_gemma":[0.002925731,0.00027566895,0.00009865609,0.0020537556,0.0006575564,0.0009166755,0.000011847204,0.0009046882,0.000012198322],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015920242,0.00038986493,0.051159456,0.09729705,0.00010143288,0.00012881223,0.04608225,9.8360324e-8,9.414203e-8,0.0007333252,0.00007811732,0.8038703],"study_design_scores_gemma":[0.0007831049,0.00014190159,0.08984329,0.56400955,0.00031910575,0.0000061906385,0.0010917484,4.2914792e-7,2.1690661e-7,0.0006351146,0.34238562,0.0007837254],"about_ca_topic_score_codex":0.027804505,"about_ca_topic_score_gemma":0.2220492,"teacher_disagreement_score":0.8030866,"about_ca_system_score_codex":0.0001044586,"about_ca_system_score_gemma":0.0013753119,"threshold_uncertainty_score":0.99996954},"labels":[],"label_agreement":null},{"id":"W2886208617","doi":"10.1177/0361198118791630","title":"Equity in Spatial Access to Bicycling Infrastructure in Mid-Sized Canadian Cities","year":2018,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Vancouver Coastal Health Research Institute; Memorial University of Newfoundland; Vancouver Coastal Health; Simon Fraser University","funders":"Simon Fraser University; Michael Smith Health Research BC","keywords":"Equity (law); Geography; Business; Infrastructure planning; Median income; Environmental planning; Political science; Environmental health; Population; Medicine","score_opus":0.1388573753776745,"score_gpt":0.4722211497056872,"score_spread":0.3333637743280127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2886208617","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9851189,0.00006637282,0.00018984948,0.010431359,0.0010408866,0.0013614277,0.00006963155,0.000018077997,0.001703466],"genre_scores_gemma":[0.9981889,0.00022708037,0.00039995398,0.00016498496,0.00054220017,0.00005518202,0.000011887526,0.000033985638,0.000375813],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9908288,0.0016641446,0.0015725181,0.000512431,0.00375008,0.0016719949],"domain_scores_gemma":[0.99475914,0.00071662635,0.00028194493,0.00040862022,0.002893945,0.000939738],"candidate_categories":["research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.009612543,0.00023832115,0.0005100811,0.0027827066,0.0010609553,0.0004074077,0.0024409825,0.00031515877,0.001312939],"category_scores_gemma":[0.0006555146,0.00020075966,0.0002351307,0.005340748,0.0014184505,0.0014069498,0.000015916527,0.0023758847,0.000018826951],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00097601267,0.00008727214,0.9684482,0.00007978283,0.00001805978,0.00010365665,0.018210946,0.00030828165,0.0003779765,0.00055466115,0.0014262352,0.009408881],"study_design_scores_gemma":[0.0011705242,0.00020131255,0.973666,0.0003938662,0.000011340087,4.21735e-8,0.004457693,0.000020146665,0.0005110061,0.008325582,0.011044745,0.00019772077],"about_ca_topic_score_codex":0.879915,"about_ca_topic_score_gemma":0.9985617,"teacher_disagreement_score":0.118646726,"about_ca_system_score_codex":0.0013014403,"about_ca_system_score_gemma":0.0055319644,"threshold_uncertainty_score":0.9999257},"labels":[],"label_agreement":null},{"id":"W2886459483","doi":"10.1007/s11116-018-9914-3","title":"Role of the built environment on trip-chaining behavior: an investigation of workers and non-workers in Halifax, Nova Scotia","year":2018,"lang":"en","type":"article","venue":"Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"","keywords":"Chaining; TRIPS architecture; Nova scotia; Transport engineering; Work (physics); Ordinary least squares; Geography; Built environment; Diversity (politics); Computer science; Engineering; Sociology; Psychology; Civil engineering","score_opus":0.025741393568378953,"score_gpt":0.2850281822199704,"score_spread":0.25928678865159144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2886459483","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99909437,0.000020258422,0.00003733131,0.00008731437,0.00007165878,0.00032695665,0.000016368771,0.000008801115,0.00033693662],"genre_scores_gemma":[0.9996706,0.0000043350637,0.0002184131,0.000018002076,0.00003181952,0.00000556365,0.000027751148,0.00000647546,0.000017039214],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99903286,0.00006140466,0.00031611923,0.00018304137,0.00028134117,0.00012526754],"domain_scores_gemma":[0.9995806,0.000025331425,0.00017178553,0.00014345687,0.000027847127,0.000050930637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044437614,0.00007836207,0.00012390684,0.00005673002,0.00008400507,0.000007661105,0.00012476635,0.00008242569,0.000069698515],"category_scores_gemma":[0.0000052881805,0.00006729006,0.000037464848,0.00023435554,0.00055602693,0.00025848075,0.0000013707961,0.000079706166,0.0000010984942],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004731828,0.00005080582,0.9663465,0.000009242995,0.0000033447175,2.0832023e-7,0.027390962,0.000054281452,0.0045658774,0.00011845169,0.0000018113186,0.0014111762],"study_design_scores_gemma":[0.0002848431,0.00007284016,0.9839513,0.00006847515,0.00003115773,8.990899e-9,0.0077202967,0.000023965435,0.0073120305,0.00045945423,0.00000886836,0.00006678577],"about_ca_topic_score_codex":0.033759482,"about_ca_topic_score_gemma":0.13459848,"teacher_disagreement_score":0.100839004,"about_ca_system_score_codex":0.000030026862,"about_ca_system_score_gemma":0.000072107534,"threshold_uncertainty_score":0.9726748},"labels":[],"label_agreement":null},{"id":"W2887333309","doi":"","title":"Influence of Socioeconomic Status on Distance Traveled and Care After Stroke","year":2012,"lang":"en","type":"article","venue":"Stroke","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Socioeconomic status; Medicine; Stroke (engine); Acute stroke; Ischemic stroke; Emergency medicine; Medical emergency; Environmental health; Emergency department; Internal medicine; Population; Ischemia; Nursing","score_opus":0.009050637106377301,"score_gpt":0.2674424702159815,"score_spread":0.2583918331096042,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2887333309","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99184763,0.00085774815,0.000008751433,0.000042808722,0.00008258082,0.00013043635,0.00025357795,0.000018078621,0.0067583793],"genre_scores_gemma":[0.9991483,0.00004241094,0.00005795299,0.00004091112,0.00009463506,0.000010821855,0.0000036383205,0.000005539599,0.00059577974],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991825,0.000036909416,0.00015410523,0.00014601546,0.00014371253,0.00033670908],"domain_scores_gemma":[0.99958575,0.000044109973,0.00006686209,0.00012763476,0.000037623664,0.00013802087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001458656,0.00008152896,0.0001397314,0.000024696867,0.00011259405,0.000017822435,0.00009593904,0.00006207539,0.00013843711],"category_scores_gemma":[0.000015125472,0.000076551245,0.000047726717,0.000029274815,0.0003220821,0.00029514378,0.0000095798805,0.00009085817,0.000010771569],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004430211,0.000022165692,0.98213464,0.000021815806,0.000007728115,3.1660346e-7,0.015460023,0.0000032592473,0.00018727835,0.0007367359,0.000007424556,0.0013743045],"study_design_scores_gemma":[0.00018981991,0.00002414498,0.9911554,0.000009173905,0.000012505308,1.2538112e-8,0.003933947,4.2503737e-7,0.0007287714,0.00006649262,0.0037929486,0.00008636036],"about_ca_topic_score_codex":0.0006502846,"about_ca_topic_score_gemma":0.0022962473,"teacher_disagreement_score":0.011526075,"about_ca_system_score_codex":0.00007063581,"about_ca_system_score_gemma":0.00006658763,"threshold_uncertainty_score":0.31216693},"labels":[],"label_agreement":null},{"id":"W2887768985","doi":"10.1155/2018/1835241","title":"Does Urban Rail Transit Discourage People from Owning and Using Cars? Evidence from Beijing, China","year":2018,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities; Beijing Municipal Natural Science Foundation","keywords":"Beijing; Car ownership; Urbanization; China; Urban rail transit; Business; Work (physics); Transport engineering; Urban transit; Economic geography; Public transport; Economic growth; Geography; Engineering; Economics","score_opus":0.01683510549524625,"score_gpt":0.306389260192375,"score_spread":0.28955415469712875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2887768985","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9808398,0.00087293953,0.016780822,0.00043009632,0.00082151365,0.0001413297,0.000059806105,0.000023972352,0.000029702922],"genre_scores_gemma":[0.9908201,0.00029990496,0.007835459,0.000027423002,0.0009570694,0.0000011509242,0.000018810428,0.000015394493,0.000024684732],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99827754,0.00008426928,0.00060673134,0.00027003206,0.00051891693,0.00024250298],"domain_scores_gemma":[0.99881244,0.00015425615,0.0005255544,0.00012543338,0.00021163672,0.00017068863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040962765,0.00015988649,0.00034132463,0.000076919525,0.00044462108,0.00008588902,0.00021590255,0.000095465315,0.00020468073],"category_scores_gemma":[0.000060808656,0.00011347686,0.00013085167,0.00024365923,0.0002564335,0.0024397282,0.0000018380872,0.00023142649,7.237643e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024589038,0.0000444763,0.8427351,0.000016100787,0.000048134723,0.000022227467,0.13056952,0.00043006268,0.02206843,0.000037658494,0.0000064326264,0.0037759633],"study_design_scores_gemma":[0.0005831787,0.00007292633,0.98626447,0.00042108246,0.00019742674,2.3644593e-7,0.0073721376,0.00006288044,0.001934316,0.0027061277,0.00021832308,0.00016687541],"about_ca_topic_score_codex":0.0060491674,"about_ca_topic_score_gemma":0.04881326,"teacher_disagreement_score":0.14352939,"about_ca_system_score_codex":0.000069483925,"about_ca_system_score_gemma":0.00014579788,"threshold_uncertainty_score":0.9685434},"labels":[],"label_agreement":null},{"id":"W2888213409","doi":"10.1016/j.ypmed.2018.08.023","title":"Associations of neighborhood environmental attributes with adults' objectively-assessed sedentary time: IPEN adult multi-country study","year":2018,"lang":"en","type":"article","venue":"Preventive Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Health Research Council of New Zealand; Medical Research Council; University of California, San Diego; National Cancer Institute; National Institutes of Health; Fogarty International Center; Ministry of Education, Youth and Science; Robert Wood Johnson Foundation; Coca-Cola Foundation; BCCDC Foundation for Public Health; NIKE; Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS)","keywords":"Medicine; Environmental health; Demography; Gerontology","score_opus":0.016666968859882846,"score_gpt":0.30204018084246975,"score_spread":0.2853732119825869,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2888213409","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951445,0.00011069722,0.0005604413,0.0002534318,0.0001616122,0.0012046128,0.00023806893,0.000052912474,0.0022737328],"genre_scores_gemma":[0.9983158,0.000011936808,0.00014945862,0.00007219532,0.00038362888,0.000036093068,0.0001621225,0.000015451527,0.00085329334],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977809,0.00030825613,0.000418025,0.000409262,0.00076734525,0.0003161833],"domain_scores_gemma":[0.9988508,0.00019602427,0.00035445736,0.00022861679,0.00024589215,0.00012421593],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007764053,0.00019078479,0.00042178607,0.00007680494,0.00043292096,0.000013591904,0.00032714484,0.000074832424,0.0015659448],"category_scores_gemma":[0.00021099472,0.00014549283,0.000058707734,0.00041803255,0.0009920816,0.00036228469,0.000041912597,0.00016112784,0.000030123234],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011958375,0.0018274522,0.9696919,0.000010138731,0.00020892249,0.000004926466,0.027084198,1.8582404e-7,0.0003979983,0.000031252188,0.00013215121,0.0004913177],"study_design_scores_gemma":[0.003322583,0.0010640274,0.96904254,0.000118447904,0.00026101936,1.5597705e-7,0.02527658,0.00003414482,0.0005268734,0.00014381656,0.000046782297,0.00016299995],"about_ca_topic_score_codex":0.006365815,"about_ca_topic_score_gemma":0.01203767,"teacher_disagreement_score":0.0056718555,"about_ca_system_score_codex":0.00019047543,"about_ca_system_score_gemma":0.00013255235,"threshold_uncertainty_score":0.99934673},"labels":[],"label_agreement":null},{"id":"W2888381583","doi":"10.1186/s12889-018-5874-y","title":"Understanding child and parent perceptions of barriers influencing children’s active school travel","year":2018,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":111,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Lawson Health Research Institute; Children’s Health Research Institute; Western University","funders":"Institute of Population and Public Health; Canadian Institutes of Health Research; Children's Health Foundation; Social Sciences and Humanities Research Council of Canada; Children's Health Research Institute; Heart and Stroke Foundation of Canada","keywords":"Perception; Intrapersonal communication; Biostatistics; Medicine; Active living; Public health; Interpersonal communication; Developmental psychology; Psychology; Social psychology; Nursing","score_opus":0.093223668492334,"score_gpt":0.3494368693497311,"score_spread":0.2562132008573971,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2888381583","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9822869,0.00006188866,0.0049609654,0.0029061115,0.0001116772,0.00035696448,0.000043160868,0.00004918299,0.009223158],"genre_scores_gemma":[0.99902284,0.000059738846,0.00020896924,0.00041271505,0.00024055039,0.000006896035,0.000009911118,0.000007454766,0.000030908996],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984783,0.00020626571,0.00030157858,0.00026707174,0.00030137168,0.00044540127],"domain_scores_gemma":[0.9988404,0.00004294097,0.00014978986,0.00015795244,0.000084143394,0.0007247863],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0012151042,0.00009468714,0.00019429222,0.0001221963,0.0013215619,0.00007788037,0.00016883922,0.00007704291,0.00056923757],"category_scores_gemma":[0.0003057535,0.0000896502,0.000049800223,0.0003592454,0.0006787462,0.0005251856,0.00002011091,0.00016319589,0.0000041722087],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000628302,0.000025746078,0.9707324,0.000020392617,0.000009916144,3.329889e-8,0.02352462,2.0598878e-7,0.0000048196703,0.004930542,0.00014219042,0.00060288556],"study_design_scores_gemma":[0.00022779088,0.000052028732,0.9492915,0.000032069638,0.0000047811955,2.911013e-7,0.049353946,0.000009696496,0.0000048058605,0.00066319614,0.00027346011,0.00008642386],"about_ca_topic_score_codex":0.007020254,"about_ca_topic_score_gemma":0.022368256,"teacher_disagreement_score":0.025829324,"about_ca_system_score_codex":0.00060692173,"about_ca_system_score_gemma":0.002115121,"threshold_uncertainty_score":0.9999786},"labels":[],"label_agreement":null},{"id":"W2888409516","doi":"10.3961/jpmph.18.038","title":"Increased Prevalence of Chronic Disease in Back Pain Patients Living in Car-dependent Neighbourhoods in Canada: A Cross-sectional Analysis","year":2018,"lang":"en","type":"article","venue":"Journal of Preventive Medicine and Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Ottawa; Ottawa Hospital","funders":"","keywords":"Medicine; Walkability; Cross-sectional study; Neighbourhood (mathematics); Odds ratio; Confidence interval; Logistic regression; Chronic pain; Cohort; Demography; Body mass index; Odds; Physical therapy; Comorbidity; Cohort study; Physical activity; Internal medicine","score_opus":0.034122794043525,"score_gpt":0.3469626329800428,"score_spread":0.3128398389365178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2888409516","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968822,0.0012821852,0.00016421177,0.00118501,0.00013631128,0.00021231911,0.000017749817,0.0000011004458,0.000118923825],"genre_scores_gemma":[0.9992144,0.00032633607,0.000012187644,0.00017030661,0.00021288956,0.0000026507726,0.0000039426004,0.0000033544943,0.000053945845],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99635464,0.0013377749,0.0010640388,0.0001926839,0.0006946919,0.00035614782],"domain_scores_gemma":[0.9981636,0.0003720472,0.0006447035,0.0000932305,0.00030800208,0.0004184419],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009365609,0.00009358767,0.00043437452,0.0005179445,0.00008121885,0.000016057624,0.00020445403,0.00003991261,0.0007539267],"category_scores_gemma":[0.0015125908,0.000076372446,0.00006131526,0.0011325517,0.00026251285,0.00035974462,0.00002128149,0.00024585458,1.3542302e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003706044,0.00024736876,0.9939414,0.00021494128,0.000030523523,0.0000063785687,0.0035613661,0.000007292957,6.7572194e-7,0.000014674772,0.000037036825,0.0019012777],"study_design_scores_gemma":[0.0008390682,0.00022518946,0.99723274,0.00041371817,0.000017695673,1.002176e-7,0.0008424623,0.00019147224,2.7034488e-7,0.00010286609,0.00007658558,0.00005783389],"about_ca_topic_score_codex":0.87484515,"about_ca_topic_score_gemma":0.98188615,"teacher_disagreement_score":0.10704102,"about_ca_system_score_codex":0.0016143206,"about_ca_system_score_gemma":0.0088936845,"threshold_uncertainty_score":0.99672496},"labels":[],"label_agreement":null},{"id":"W2888625523","doi":"10.1007/s11116-018-9915-2","title":"Trip chaining propensity and tour mode choice of out-of-home workers: evidence from a mid-sized Canadian city","year":2018,"lang":"en","type":"article","venue":"Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":37,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Saint Mary's University; Dalhousie University","funders":"Atlantic Canada Opportunities Agency; Dalhousie University","keywords":"Chaining; Multinomial logistic regression; Travel behavior; Travel survey; Probit; Discrete choice; Mode choice; Geography; Mixed logit; Poisson regression; Probit model; Multinomial probit; Public transport; Population; Econometrics; Transport engineering; Logistic regression; Statistics; Psychology; Demography; Engineering; Economics; Mathematics; Sociology","score_opus":0.09727108053261085,"score_gpt":0.33910461364262573,"score_spread":0.24183353311001488,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2888625523","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99815667,0.00014315224,0.00045589317,0.00025394987,0.00020387018,0.00031090726,0.00008559081,0.000026621661,0.0003633552],"genre_scores_gemma":[0.9991194,0.000018992901,0.0005851238,0.000022273138,0.00013290033,0.0000055630244,0.000031542902,0.0000061294327,0.00007806166],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988713,0.000064520595,0.0003326275,0.0002530069,0.00026747765,0.00021106625],"domain_scores_gemma":[0.99918556,0.00012217167,0.00017288212,0.00014311315,0.00021191736,0.00016434274],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045685258,0.00009412687,0.00024466898,0.00006219488,0.00019574347,0.000018374503,0.00016410866,0.0001038415,0.00021239014],"category_scores_gemma":[0.0000719808,0.00009232135,0.000052396455,0.0002514142,0.00038042237,0.00047789933,0.0000013781213,0.00008361982,0.0000014896668],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010714744,0.00001889678,0.9586013,0.000026326768,0.000014793277,0.0000014370536,0.03825962,0.000002829774,0.0009979398,0.000031564767,0.000016043123,0.0019220802],"study_design_scores_gemma":[0.00033278187,0.00003333329,0.99574316,0.00016604405,0.00005335054,7.403592e-9,0.0009815781,0.00003666685,0.0018849241,0.0005421147,0.00011908824,0.000106926316],"about_ca_topic_score_codex":0.8174803,"about_ca_topic_score_gemma":0.9821272,"teacher_disagreement_score":0.16464691,"about_ca_system_score_codex":0.000045063254,"about_ca_system_score_gemma":0.0004998366,"threshold_uncertainty_score":0.37647554},"labels":[],"label_agreement":null},{"id":"W2888752654","doi":"10.3917/lsdlc.hs07.0073","title":"Les trajets à pied comme temps et objets de socialisation chez les collégiens français","year":2018,"lang":"fr","type":"article","venue":"Le sujet dans la cité","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Humanities; Art; Political science","score_opus":0.0634134171423495,"score_gpt":0.3305782095344201,"score_spread":0.2671647923920706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2888752654","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8430338,0.0006317072,0.0023073629,0.0072285514,0.00077952933,0.00034896852,0.00020253229,0.00018309178,0.14528447],"genre_scores_gemma":[0.990583,0.00010336371,0.0007414607,0.00073481107,0.0011398628,0.000028921799,0.00008029427,0.000048035374,0.006540268],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9965014,0.0010453655,0.0005421312,0.00055694924,0.000545797,0.00080836035],"domain_scores_gemma":[0.9985483,0.00038066297,0.00023602416,0.00035334876,0.00021867038,0.00026299423],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.002048573,0.00033775068,0.0004336834,0.00007348349,0.001625907,0.00021545561,0.0006078107,0.0006557742,0.001182146],"category_scores_gemma":[0.00015913806,0.00036798205,0.00026198567,0.0006808795,0.003117888,0.00061163836,0.000044951466,0.0004566056,0.00008257137],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048859005,0.0005535389,0.6135055,0.000102571554,0.000086318985,0.00002632197,0.29095256,0.0000073731107,0.0013901732,0.06578258,0.0027874268,0.024756802],"study_design_scores_gemma":[0.00083581544,0.000087923225,0.8358294,0.00011095953,0.000119628814,0.0000024836525,0.015953211,0.00015581484,0.0017224157,0.010764123,0.1339022,0.00051606854],"about_ca_topic_score_codex":0.12591402,"about_ca_topic_score_gemma":0.3225602,"teacher_disagreement_score":0.27499935,"about_ca_system_score_codex":0.0003022534,"about_ca_system_score_gemma":0.0006714162,"threshold_uncertainty_score":0.9998772},"labels":[],"label_agreement":null},{"id":"W2888782080","doi":"10.1177/0163278718796153","title":"A Qualitative Systematic Review of Public–Private Partnership in Promoting Physical Activity","year":2018,"lang":"en","type":"review","venue":"Evaluation & the Health Professions","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Research Foundation of Korea","keywords":"General partnership; Public relations; Pledge; Systematic review; Business; Grey literature; Public–private partnership; Promotion (chess); Qualitative research; Private sector; Inclusion (mineral); Qualitative property; Political science; MEDLINE; Psychology; Sociology; Finance","score_opus":0.6015343105248565,"score_gpt":0.638706201338082,"score_spread":0.03717189081322547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2888782080","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00034290092,0.97578156,0.000023097331,0.006792314,0.00022336573,0.016097575,0.00002269751,0.000040758467,0.000675713],"genre_scores_gemma":[0.009705725,0.9862268,0.00002569233,0.00018210028,0.00021835028,0.003288803,0.00006129541,0.000023762439,0.00026748184],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9426337,0.053092036,0.0016200056,0.00047351033,0.0016162283,0.00056454574],"domain_scores_gemma":[0.9922498,0.0030485387,0.0032292511,0.0007078896,0.0005855772,0.00017895656],"candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.07291903,0.00028265623,0.0024442077,0.00013715481,0.00092950906,0.00003062512,0.0007274984,0.00019368617,0.00015037382],"category_scores_gemma":[0.010104306,0.00016068615,0.00041686549,0.0016546021,0.00042171247,0.00031057943,0.00007698166,0.0007428336,0.00004261771],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000013782743,0.0002342865,0.00001144227,0.8558236,0.000033562195,8.602343e-8,0.10647126,4.962696e-9,9.185852e-9,0.0010142935,0.00017019022,0.036239922],"study_design_scores_gemma":[0.000117915886,0.000043227654,0.000064657965,0.979265,0.0006777136,9.8445355e-8,0.005614163,0.000039741008,6.935833e-8,0.0020242718,0.011964991,0.00018819958],"about_ca_topic_score_codex":0.00032577527,"about_ca_topic_score_gemma":0.000997786,"teacher_disagreement_score":0.12344138,"about_ca_system_score_codex":0.0008007906,"about_ca_system_score_gemma":0.007875999,"threshold_uncertainty_score":0.99823403},"labels":[],"label_agreement":null},{"id":"W2888811002","doi":"10.1177/0361198118790327","title":"Reducing Rural Car Ownership: Cultural Not Policy Changes?","year":2018,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Car ownership; Quarter (Canadian coin); Census; Land tenure; Geography; Land use; Population; Sustainability; Socioeconomics; American Community Survey; Business; Agriculture; Demographic economics; Agricultural economics; Economic growth; Public transport; Demography; Economics; Political science","score_opus":0.15312140296260907,"score_gpt":0.4522610246748591,"score_spread":0.29913962171225006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2888811002","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9724699,0.00013786595,0.00013811605,0.023448627,0.0010511013,0.0009685773,0.0000682811,0.000058688907,0.0016587988],"genre_scores_gemma":[0.9917494,0.000719627,0.0005500698,0.00016782193,0.0028498073,0.000045111956,0.000019220379,0.00005016241,0.003848793],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.988705,0.0022009702,0.001318916,0.000494649,0.005624148,0.001656361],"domain_scores_gemma":[0.9901652,0.00077090383,0.000569618,0.00057848886,0.0071387575,0.00077707047],"candidate_categories":["sts","research_integrity","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.0086783385,0.00029873283,0.00052090525,0.001198968,0.0027590417,0.0003593811,0.0020222054,0.00032903638,0.001026482],"category_scores_gemma":[0.0006624822,0.00021460652,0.00049244514,0.00431474,0.0037475158,0.0013542989,0.000009416992,0.0024325491,0.000064772],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0035106547,0.0005028837,0.8108237,0.00030412496,0.00030084956,0.00014199472,0.10774692,0.00008233411,0.017171098,0.015199768,0.01663628,0.027579408],"study_design_scores_gemma":[0.0011884137,0.0005987951,0.90289116,0.00038070002,0.000057603847,2.0306273e-7,0.020670839,0.000015501133,0.0045752246,0.0029301448,0.06639121,0.00030023404],"about_ca_topic_score_codex":0.14731267,"about_ca_topic_score_gemma":0.4292611,"teacher_disagreement_score":0.28194842,"about_ca_system_score_codex":0.000666754,"about_ca_system_score_gemma":0.0022270693,"threshold_uncertainty_score":0.9998867},"labels":[],"label_agreement":null},{"id":"W2888836592","doi":"10.1007/s41978-018-0018-6","title":"Social-Demographic Correlates of Leisure-Time Physical Activities: a Secondary Data Analysis of a Large-Scale Survey in the U.S.","year":2018,"lang":"en","type":"article","venue":"International Journal of the Sociology of Leisure","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Leisure time; Scale (ratio); Time-use survey; Psychology; Physical activity; Gerontology; Geography; Demography; Sociology; Medicine; Cartography; Physics; Work (physics); Physical therapy","score_opus":0.03794143635411606,"score_gpt":0.36310913301605097,"score_spread":0.3251676966619349,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2888836592","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968154,0.00014252597,0.000050504823,0.0017709513,0.00029801825,0.00007879645,0.0005238481,0.000002665885,0.0003172895],"genre_scores_gemma":[0.9995311,0.000023728797,0.000028358285,0.000028889914,0.00029960097,7.010513e-7,0.00003811975,0.0000046666746,0.000044823657],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972203,0.0011973352,0.00061224884,0.00015228424,0.0006532379,0.00016461051],"domain_scores_gemma":[0.9968599,0.0010796475,0.0011734071,0.00025515142,0.0006084747,0.000023401248],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.004514311,0.000098027434,0.0006268665,0.00020822026,0.00014472313,0.000010259931,0.002336371,0.00016514967,0.00016674031],"category_scores_gemma":[0.0002556255,0.00006107159,0.00048260723,0.000567441,0.0030834577,0.00027288107,0.00011562403,0.000436751,6.362709e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013631002,0.00034689912,0.9614837,0.0000060186267,0.0012716926,0.0000012520783,0.035441678,0.000010847427,0.00039424017,0.00032276293,0.00044241903,0.00014217933],"study_design_scores_gemma":[0.00037677932,0.00005941694,0.99103725,0.000025214673,0.0003454876,6.850269e-7,0.00423795,0.00012753897,0.00010596497,0.003495595,0.0001327304,0.000055403496],"about_ca_topic_score_codex":0.0008338665,"about_ca_topic_score_gemma":0.0059432583,"teacher_disagreement_score":0.031203728,"about_ca_system_score_codex":0.000033511416,"about_ca_system_score_gemma":0.00033474324,"threshold_uncertainty_score":0.99962956},"labels":[],"label_agreement":null},{"id":"W2888838507","doi":"10.1155/2018/7127342","title":"Decade-Long Changes in Disparity and Distribution of Transit Opportunity in Shenzhen China: A Transportation Equity Perspective","year":2018,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"University of North Carolina at Chapel Hill; China Scholarship Council","keywords":"Public transport; Equity (law); Gini coefficient; Distribution (mathematics); Operationalization; China; Business; Transport engineering; Geography; Public economics; Economics; Inequality; Engineering; Political science; Economic inequality","score_opus":0.02722580240491296,"score_gpt":0.3456885510866204,"score_spread":0.31846274868170743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2888838507","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946737,0.00027939893,0.0033811957,0.0009558048,0.00016278675,0.00030659648,0.00009505375,0.00001148569,0.00013394804],"genre_scores_gemma":[0.9989891,0.00044634347,0.0003577136,0.000017558625,0.00009936592,0.000005318309,0.00006986947,0.000008355883,0.000006391325],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981708,0.00011374621,0.0007615432,0.00022446824,0.00046775086,0.0002617247],"domain_scores_gemma":[0.99876726,0.00006167674,0.0005128564,0.000085087326,0.00041486826,0.00015822604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011335947,0.00014431887,0.00039613704,0.00019535905,0.00011759865,0.00001623136,0.00016019309,0.00014065627,0.00004426712],"category_scores_gemma":[0.000091051465,0.00014333133,0.000090984795,0.0006209933,0.0003731311,0.0011016573,0.0000011675813,0.00030160596,1.2079424e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009628065,0.00038034288,0.91053116,0.00011057133,0.000022168282,0.00003963033,0.07369926,0.0004644891,0.0013784482,0.003031229,0.0000025331885,0.009377336],"study_design_scores_gemma":[0.0012798551,0.00021709356,0.9816011,0.00018497696,0.00005802046,4.1703615e-7,0.008346759,0.000011494276,0.0011745483,0.006948046,0.000044689186,0.0001329699],"about_ca_topic_score_codex":0.0033215045,"about_ca_topic_score_gemma":0.30849224,"teacher_disagreement_score":0.30517074,"about_ca_system_score_codex":0.00021842755,"about_ca_system_score_gemma":0.00024826176,"threshold_uncertainty_score":0.70412594},"labels":[],"label_agreement":null},{"id":"W2889015349","doi":"10.1136/bjsports-2018-099667","title":"If we build it, who will come? The case for attention to equity in healthy community design","year":2018,"lang":"en","type":"editorial","venue":"British Journal of Sports Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; Memorial University of Newfoundland; Université de Montréal; Simon Fraser University","funders":"","keywords":"Equity (law); Medicine; Business; Computer science; Psychology; Political science; Law","score_opus":0.05392126923149996,"score_gpt":0.38894649611157606,"score_spread":0.3350252268800761,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2889015349","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07810128,0.009233831,0.005303034,0.023361193,0.87968147,0.002840886,0.00028186632,0.000043830503,0.00115259],"genre_scores_gemma":[0.24528076,0.009401359,0.00041253064,0.0007282842,0.74315226,0.000025532456,0.000080404745,0.000048862257,0.0008700231],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9951043,0.0007512592,0.001619946,0.00027792974,0.0016590602,0.0005874916],"domain_scores_gemma":[0.99484676,0.0016325732,0.0013169928,0.00034621422,0.0013960121,0.00046145587],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.022405082,0.00025687536,0.0010343967,0.00022221728,0.0013057053,0.00011966321,0.0010953896,0.0005377077,0.00027624326],"category_scores_gemma":[0.0030842477,0.00021449797,0.00021821956,0.0005105544,0.00093180255,0.00038022897,0.00007918471,0.002139203,8.41184e-7],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048724248,0.00016254459,0.0012844526,0.00019086669,0.000027733458,0.0023399459,0.0034858377,0.0000019465995,4.5621883e-7,0.000009422861,0.9401534,0.05185616],"study_design_scores_gemma":[0.0024020143,0.00096128427,0.010332051,0.011614194,0.00024732962,0.00029741303,0.005950399,0.000002980632,6.3217465e-7,0.0047686663,0.9631147,0.00030837234],"about_ca_topic_score_codex":0.031702574,"about_ca_topic_score_gemma":0.045632128,"teacher_disagreement_score":0.16717948,"about_ca_system_score_codex":0.0005020505,"about_ca_system_score_gemma":0.0012661988,"threshold_uncertainty_score":0.99999446},"labels":[],"label_agreement":null},{"id":"W2889158169","doi":"","title":"Avis concernant les polluants le long des autoroutes et recommandations sur les usages aux abords du complexe Turcot / Service Environnement urbain et saines habitudes de vie, Direction régionale de santé publique du CIUSSS du Centre-Sud-de-l'Île-de Montréal ; auteurs, Karine Price [et quatre autres] ; sous la direction de Richard Massé","year":2017,"lang":"fr","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Art; Political science","score_opus":0.029240747568112152,"score_gpt":0.2957447259074464,"score_spread":0.26650397833933426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2889158169","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87841445,0.0061613983,0.014866179,0.09337793,0.00056304014,0.0006659757,0.0004307501,0.0004287931,0.0050914697],"genre_scores_gemma":[0.9677755,0.020289721,0.0051476667,0.00080727914,0.000652532,0.00010587839,0.00024567707,0.0000773014,0.004898441],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.993858,0.0025031762,0.00083729497,0.00090854446,0.0006132566,0.0012797709],"domain_scores_gemma":[0.99642384,0.0012615726,0.00078261306,0.0005568402,0.0004528743,0.00052226125],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004717197,0.0006615729,0.00068280543,0.00016833506,0.004107494,0.0010966901,0.0009639548,0.00048482377,0.0009881088],"category_scores_gemma":[0.0010354345,0.00064867554,0.00032451487,0.00039879445,0.0010192596,0.0023769063,0.00026167018,0.00059441116,0.000009041964],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001278841,0.0015250421,0.951318,0.00031696438,0.00024567317,0.000049261616,0.016160922,0.00113198,0.00071817555,0.012703029,0.0053390977,0.010363961],"study_design_scores_gemma":[0.0011720671,0.0000728113,0.89016205,0.0003775058,0.00021743697,0.000028447757,0.002272678,0.007997786,0.00037526627,0.0027089268,0.093959436,0.0006555912],"about_ca_topic_score_codex":0.67347234,"about_ca_topic_score_gemma":0.9035186,"teacher_disagreement_score":0.23004627,"about_ca_system_score_codex":0.0016703658,"about_ca_system_score_gemma":0.002340969,"threshold_uncertainty_score":0.9999403},"labels":[],"label_agreement":null},{"id":"W2889258874","doi":"10.5539/mas.v12n9p180","title":"Gyms Coverage in the City of Manizales and Villamaría Through Accessibility Analysis by the Pedestrian Network Infrastructure","year":2018,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Pan American Health Organization","keywords":"Pedestrian; Socioeconomic status; Street network; Geography; Transport engineering; Computer science; Socioeconomics; Demography; Sociology; Population; Engineering","score_opus":0.018042802644640553,"score_gpt":0.299502499816091,"score_spread":0.2814596971714505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2889258874","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9647993,0.0001331716,0.014062744,0.00039653326,0.00006457961,0.0003804991,0.000015287627,0.00001937595,0.020128513],"genre_scores_gemma":[0.99927765,0.00003296656,0.00019143794,0.00033015432,0.00012021527,0.000011146099,0.0000033128256,0.000003507527,0.000029604344],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977605,0.00013123095,0.00031313126,0.00054418255,0.00080474594,0.00044624935],"domain_scores_gemma":[0.99889123,0.00020060432,0.00018061594,0.0005682569,0.00009582552,0.000063441374],"candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0033329017,0.00013572496,0.00024223735,0.000045927638,0.001397568,0.00026590104,0.0015018741,0.00008362711,0.00010131089],"category_scores_gemma":[0.00008134148,0.000077664816,0.000058496295,0.0032296218,0.005139337,0.00041796104,0.00012250236,0.00020024623,9.23933e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026741101,0.00003849607,0.9720567,0.00000658971,0.000014225603,3.4215833e-7,0.021283874,0.000057441273,0.00082074094,0.0027005237,0.00011053912,0.0028838199],"study_design_scores_gemma":[0.00013340186,0.000011519022,0.9259756,0.0000030578437,0.000050738647,8.81178e-8,0.001305204,0.0011099355,0.00021209077,0.070541315,0.00054689264,0.000110146255],"about_ca_topic_score_codex":0.0027315798,"about_ca_topic_score_gemma":0.015830949,"teacher_disagreement_score":0.06784079,"about_ca_system_score_codex":0.00005888243,"about_ca_system_score_gemma":0.00021110314,"threshold_uncertainty_score":0.9999025},"labels":[],"label_agreement":null},{"id":"W2889728102","doi":"10.1111/cag.12492","title":"Supporting social sustainability in resource‐based communities through leisure and recreation","year":2018,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Recreation; Sustainability; Natural resource; Workforce; Resource (disambiguation); Population; Business; Social sustainability; Environmental degradation; Population growth; Investment (military); Resource depletion; Economic growth; Environmental planning; Geography; Political science; Sociology; Economics; Ecology","score_opus":0.018735911321777248,"score_gpt":0.28037721588236036,"score_spread":0.2616413045605831,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2889728102","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9823445,0.00052797445,0.000007704178,0.0066581117,0.00017854664,0.0005670476,0.00009545865,0.00011536398,0.009505291],"genre_scores_gemma":[0.99860644,0.00010495236,0.0001069761,0.0005765958,0.0002679385,0.00006076355,0.000106324245,0.00002693729,0.00014307801],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99693495,0.00039437998,0.0004870426,0.00044088377,0.0002794952,0.0014632768],"domain_scores_gemma":[0.99826187,0.00021477247,0.00016149777,0.00035832915,0.00044577112,0.00055776513],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0012435257,0.00029526558,0.0004007076,0.0016944613,0.0032596306,0.00022987649,0.0004636575,0.00029810565,0.00018206882],"category_scores_gemma":[0.00020965005,0.00033418916,0.0001621873,0.0041842256,0.0077261575,0.0005972565,0.000028309245,0.00032599553,7.7814104e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029830619,0.000020501293,0.9452954,0.00005673549,0.000020807607,0.000019671632,0.040970728,0.0000011940903,0.0000010423672,0.008301266,0.0016134612,0.0036693406],"study_design_scores_gemma":[0.00029850547,0.00006551494,0.6420485,0.00003648766,0.00002856091,6.543893e-7,0.19688553,0.000011394062,0.000006855349,0.0102669615,0.14997031,0.0003807404],"about_ca_topic_score_codex":0.9636015,"about_ca_topic_score_gemma":0.9997272,"teacher_disagreement_score":0.30324695,"about_ca_system_score_codex":0.00031427635,"about_ca_system_score_gemma":0.0008741516,"threshold_uncertainty_score":0.999911},"labels":[],"label_agreement":null},{"id":"W2889883917","doi":"10.1080/19388160.2018.1513883","title":"Exploring the Influence of Family Holiday Travel on the Subjective Well-being of Chinese Adolescents","year":2018,"lang":"en","type":"article","venue":"Journal of China Tourism Research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Contentment; China; Psychology; Mainland China; Context (archaeology); Life satisfaction; Subjective well-being; Honeymoon; Government (linguistics); Social psychology; Advertising; Happiness; Geography; Business; Political science","score_opus":0.08973427513354701,"score_gpt":0.38025142277083435,"score_spread":0.2905171476372873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2889883917","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98848957,0.00007036243,0.000018498775,0.0015449183,0.0002005812,0.00023313882,0.0000015758586,0.0000033723097,0.009437966],"genre_scores_gemma":[0.99887383,0.00015051011,0.00001406823,0.00004101131,0.0007893741,0.0000035289688,7.3195835e-8,0.000009530655,0.000118101285],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9961809,0.00085290096,0.0005328705,0.00014366522,0.0019043232,0.00038536242],"domain_scores_gemma":[0.99760467,0.00061286485,0.00036964222,0.0003026849,0.0009964575,0.00011367042],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008132182,0.00010784939,0.00026755923,0.0002110048,0.0006838837,0.000058349506,0.0012334619,0.00005583434,0.00003766523],"category_scores_gemma":[0.0009808121,0.00005341861,0.0001768667,0.0009498414,0.001449599,0.0005332604,0.00006465954,0.0009827295,0.0000054510597],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00061144616,0.00035042004,0.88390076,0.00005571415,0.00006387529,0.00002573905,0.105126634,0.000045559536,0.0066553038,0.0008566135,0.00026502376,0.0020429126],"study_design_scores_gemma":[0.0002293033,0.00024786673,0.98262286,0.00030874016,0.000006814107,6.038662e-7,0.0033708191,0.0000070311207,0.004516114,0.008540556,0.00009558183,0.000053703923],"about_ca_topic_score_codex":0.0020151907,"about_ca_topic_score_gemma":0.00021597474,"teacher_disagreement_score":0.10175581,"about_ca_system_score_codex":0.00007540492,"about_ca_system_score_gemma":0.00034288695,"threshold_uncertainty_score":0.53411084},"labels":[],"label_agreement":null},{"id":"W2889949645","doi":"10.2196/10461","title":"Increasing Active Transportation Through E-Bike Use: Pilot Study Comparing the Health Benefits, Attitudes, and Beliefs Surrounding E-Bikes and Conventional Bikes","year":2018,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Health benefits; Transport engineering; Environmental health; Occupational safety and health; Poison control; Suicide prevention; Psychology; Medicine; Engineering","score_opus":0.11280908388255347,"score_gpt":0.37643362756171456,"score_spread":0.2636245436791611,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2889949645","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9890015,0.0026503545,0.00012396021,0.0066663693,0.0001897009,0.0010594637,0.000058162437,0.00008351182,0.00016697613],"genre_scores_gemma":[0.99765056,0.0009961348,0.00013355777,0.00080661307,0.00025309811,0.000043277054,0.000066149594,0.000012978096,0.000037614194],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99710983,0.00081884325,0.000497305,0.00051444484,0.000434336,0.0006252578],"domain_scores_gemma":[0.9984253,0.0005163625,0.00028784692,0.00016691127,0.0001775405,0.0004260287],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0037385314,0.00018923849,0.0004102977,0.00006568333,0.0027985966,0.00044580747,0.0001509496,0.000049014358,0.000016513273],"category_scores_gemma":[0.00013548844,0.00015341958,0.000024419218,0.00037994713,0.00073521375,0.0010718311,0.000022028216,0.00021717814,6.705433e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011512578,0.0002146722,0.9689108,0.00011049453,0.000021931895,4.742686e-7,0.021280004,1.5141738e-7,0.0000010603434,0.003587224,0.00006973283,0.0056882873],"study_design_scores_gemma":[0.00071380835,0.00059671863,0.98589486,0.000039816485,0.0000012033067,0.0000012479201,0.00616996,0.00001597598,1.6478513e-7,0.00013549105,0.006278235,0.00015250492],"about_ca_topic_score_codex":0.04224713,"about_ca_topic_score_gemma":0.21981046,"teacher_disagreement_score":0.17756332,"about_ca_system_score_codex":0.000114350456,"about_ca_system_score_gemma":0.0006425826,"threshold_uncertainty_score":0.99849963},"labels":[],"label_agreement":null},{"id":"W2890610313","doi":"10.1016/j.healthplace.2018.08.016","title":"The influence of social networks and the built environment on physical inactivity: A longitudinal study of urban-dwelling adults","year":2018,"lang":"en","type":"article","venue":"Health & Place","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":51,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"National Institute of General Medical Sciences; Canadian Institutes of Health Research","keywords":"Geolocation; Built environment; Odds; Physical activity; Social network (sociolinguistics); Gerontology; Logistic regression; Social isolation; Multilevel model; Environmental health; Psychology; Geography; Medicine; Computer science; Social media; World Wide Web; Engineering; Physical medicine and rehabilitation","score_opus":0.024176929139779202,"score_gpt":0.32794237730318654,"score_spread":0.30376544816340734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2890610313","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975728,0.00016797306,0.000055479402,0.0013725222,0.00005575058,0.0006032052,0.0000025083764,0.000008875316,0.00016091093],"genre_scores_gemma":[0.9994535,0.00008634674,0.000005103277,0.000079838115,0.00031887443,0.000015938997,3.4581038e-7,0.0000043794944,0.000035704845],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984897,0.00040940449,0.00024616747,0.00020616315,0.00039024313,0.0002583376],"domain_scores_gemma":[0.99881905,0.00064062653,0.00026875932,0.00017354288,0.0000389805,0.000059034013],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012421812,0.00008550422,0.00024426912,0.0000118376265,0.0011426539,0.00001882027,0.00020695798,0.000038349746,0.0000050308054],"category_scores_gemma":[0.00004775648,0.000051008807,0.000037835733,0.00013526708,0.0012741474,0.00008180901,0.0000330133,0.0001904946,0.0000013219314],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0031774405,0.0013462332,0.76195633,0.0000716288,0.000053046308,0.0000011686066,0.21984978,0.00066371093,0.000003566535,0.0039851973,0.0002665337,0.008625351],"study_design_scores_gemma":[0.00102571,0.0005654096,0.9886293,0.000035972855,0.000018831788,5.2447668e-8,0.007862529,0.0006797065,0.0000071731415,0.00025228536,0.00085574976,0.00006730811],"about_ca_topic_score_codex":0.009239466,"about_ca_topic_score_gemma":0.009724635,"teacher_disagreement_score":0.22667293,"about_ca_system_score_codex":0.000063668565,"about_ca_system_score_gemma":0.00010349,"threshold_uncertainty_score":0.9973581},"labels":[],"label_agreement":null},{"id":"W2890678740","doi":"10.1155/2018/8086378","title":"Bike-Sharing Static Rebalancing by Considering the Collection of Bicycles in Need of Repair","year":2018,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"China Scholarship Council; National Natural Science Foundation of China","keywords":"Particle swarm optimization; Bike sharing; Integer programming; Swarm behaviour; Computer science; Mathematical optimization; Operations research; Simulation; Transport engineering; Engineering; Algorithm; Mathematics","score_opus":0.016383767961221086,"score_gpt":0.29965457288699526,"score_spread":0.28327080492577417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2890678740","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99807054,0.0001783678,0.0010789423,0.00017493939,0.00020325855,0.00013852767,0.0000056375475,0.00001057128,0.00013922849],"genre_scores_gemma":[0.9978058,0.00009305147,0.002003284,0.000015240282,0.000052058047,0.0000014488552,0.000002593144,0.000005869571,0.000020683896],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986642,0.000050549766,0.00075728254,0.00009366968,0.00030907345,0.00012522607],"domain_scores_gemma":[0.99876595,0.00012950342,0.00069532613,0.00008057916,0.00029396825,0.000034658748],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008420505,0.000064132866,0.00021642342,0.00012053915,0.00011332089,0.000006959984,0.000119734876,0.000042662625,0.000026220878],"category_scores_gemma":[0.00010081576,0.00005140574,0.000092573646,0.00052327034,0.00021742994,0.00048380086,0.0000010738524,0.00011859697,1.1612532e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025801934,0.00008452276,0.91877824,0.000087844615,0.000030152174,0.0000038917274,0.03863256,0.0023537695,0.038566437,0.00017660366,0.000044229848,0.000983739],"study_design_scores_gemma":[0.0007935688,0.00015700805,0.95948046,0.00028252645,0.000048081652,3.9532995e-7,0.014732202,0.000087912944,0.021426497,0.002657127,0.00025612488,0.00007812107],"about_ca_topic_score_codex":0.0009001327,"about_ca_topic_score_gemma":0.010029793,"teacher_disagreement_score":0.040702205,"about_ca_system_score_codex":0.000056797904,"about_ca_system_score_gemma":0.00012554301,"threshold_uncertainty_score":0.55968595},"labels":[],"label_agreement":null},{"id":"W2890856151","doi":"","title":"Bus Rapid Transit and Economic Development Case Study of the Eugene-Springfield, Oregon, BRT System","year":2012,"lang":"en","type":"article","venue":"Transportation Research Board 91st Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Bus rapid transit; Recreation; Quarter (Canadian coin); Transport engineering; Business; Public transport; Regional science; Geography; Economic growth; Engineering; Political science; Economics","score_opus":0.08634956768781636,"score_gpt":0.3890055455929229,"score_spread":0.3026559779051065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2890856151","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9935597,0.00059677765,0.000079790065,0.00047956643,0.0004187976,0.0032440668,0.00014027022,0.00015239758,0.0013285907],"genre_scores_gemma":[0.99826664,0.00013824868,0.00042117378,0.000016240461,0.00031005742,0.0003959295,0.00004218242,0.00006314556,0.00034641157],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99005103,0.0020788638,0.0016349313,0.0009279874,0.003483893,0.0018232879],"domain_scores_gemma":[0.9953094,0.00089212094,0.00030866638,0.0007003495,0.0019611835,0.0008282864],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.012863798,0.00039303544,0.0006147347,0.0006976113,0.0031815106,0.00017201118,0.0009041013,0.0003565737,0.00027056487],"category_scores_gemma":[0.00014862952,0.00034273483,0.00020496368,0.0016136998,0.0015498634,0.0011663537,0.000023625378,0.0013452639,0.000027459997],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003275386,0.0006667385,0.78707874,0.00050058804,0.00013510144,0.00017620836,0.20429988,0.000098832614,0.00021602582,0.0023573942,0.00022136011,0.0039216033],"study_design_scores_gemma":[0.0012881196,0.00021364164,0.7102337,0.00016353918,0.00006989313,0.0000017183626,0.27882564,0.000016507716,0.0012000301,0.000035455334,0.0076085553,0.00034323055],"about_ca_topic_score_codex":0.118382744,"about_ca_topic_score_gemma":0.37980148,"teacher_disagreement_score":0.26141873,"about_ca_system_score_codex":0.0004275229,"about_ca_system_score_gemma":0.0012346144,"threshold_uncertainty_score":0.9999025},"labels":[],"label_agreement":null},{"id":"W2890870650","doi":"","title":"Show Me Where We Are Going: Measuring and Comparing Accessibility to Jobs by Public Transport for Individuals with Physical Disability in Montreal and Toronto, Canada","year":2018,"lang":"en","type":"article","venue":"Transportation Research Board 97th Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Public transport; Business; Gerontology; Public administration; Political science; Transport engineering; Medicine; Engineering","score_opus":0.07438716386568046,"score_gpt":0.38084919439864984,"score_spread":0.3064620305329694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2890870650","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9877725,0.00058139313,0.00020708093,0.0058556097,0.00008063927,0.0037834342,0.0009390808,0.00012556041,0.0006546865],"genre_scores_gemma":[0.99729663,0.00024450733,0.0006888986,0.00005480763,0.00026008594,0.0008162539,0.00021237921,0.00007031597,0.00035611246],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98921406,0.0011118867,0.0011660376,0.0019244603,0.004260089,0.002323493],"domain_scores_gemma":[0.9935796,0.001295943,0.00022722365,0.00057017285,0.002732527,0.0015944828],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0083209,0.00052077154,0.000949817,0.00031488846,0.0020521837,0.00037704664,0.0008619323,0.000300779,0.00012672358],"category_scores_gemma":[0.0004366627,0.0005006865,0.00011847746,0.001769709,0.0028750307,0.0020950027,0.000020813393,0.0010781481,0.0000025142838],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011857683,0.00041751814,0.9600035,0.0006463443,0.000060657178,0.000016418633,0.033360276,0.000015389945,0.00018092192,0.00036735114,0.0008141825,0.0029316496],"study_design_scores_gemma":[0.0018742124,0.00044358155,0.95215476,0.00036357134,0.000037932525,6.854784e-8,0.036618248,0.00016502793,0.00026267327,0.0005244185,0.0070200088,0.00053552596],"about_ca_topic_score_codex":0.8674142,"about_ca_topic_score_gemma":0.99903995,"teacher_disagreement_score":0.13162574,"about_ca_system_score_codex":0.0009029827,"about_ca_system_score_gemma":0.0014754268,"threshold_uncertainty_score":0.9998386},"labels":[],"label_agreement":null},{"id":"W2890987977","doi":"10.3390/ijerph15102079","title":"Laboratory-Assessed Markers of Cardiometabolic Health and Associations with GIS-Based Measures of Active-Living Environments","year":2018,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University Health Centre; McGill University","funders":"Medical Research Council; Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Canada Research Chairs","keywords":"Quartile; Body mass index; Medicine; Confidence interval; Active living; Demography; Gerontology; Population; Physical activity; Environmental health; Physical therapy; Internal medicine","score_opus":0.08358818197282597,"score_gpt":0.39625298979838314,"score_spread":0.31266480782555717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2890987977","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99382716,0.0008993796,0.0003692373,0.0041751927,0.00007464793,0.00016147022,0.00020683762,0.0000021116255,0.000283951],"genre_scores_gemma":[0.9978268,0.0015433519,0.00031634414,0.00014078595,0.00012828427,0.0000022436873,0.000008150664,0.000006950886,0.000027097542],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.996651,0.00066963927,0.00044623992,0.00014764197,0.0017620957,0.00032336905],"domain_scores_gemma":[0.9983637,0.00034288934,0.0005444411,0.0000864064,0.00018806288,0.0004745102],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004711281,0.000076121396,0.000269906,0.0003341077,0.0002918068,0.000052475545,0.00026471308,0.00004459597,0.000104131286],"category_scores_gemma":[0.0003596349,0.00006463223,0.000039545106,0.00023065036,0.0012226655,0.00045115428,0.000037874517,0.00022036464,4.7448663e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018391515,0.0006800653,0.9529046,0.000022073082,0.00018956682,0.0000019587421,0.0038231444,9.748944e-7,0.00059968734,0.00022721366,0.00008726588,0.041279566],"study_design_scores_gemma":[0.0005629872,0.00085238414,0.98464787,0.00007004546,0.000003619428,7.2829806e-7,0.005264149,0.000005547592,0.00016976662,0.00010607117,0.008264755,0.00005207498],"about_ca_topic_score_codex":0.0015568107,"about_ca_topic_score_gemma":0.00084227254,"teacher_disagreement_score":0.04122749,"about_ca_system_score_codex":0.00047272744,"about_ca_system_score_gemma":0.0016556515,"threshold_uncertainty_score":0.4504962},"labels":[],"label_agreement":null},{"id":"W2891239322","doi":"10.1016/j.jth.2018.08.012","title":"Seasonal variations and changes in school travel mode from childhood to late adolescence: A prospective study in New Brunswick, Canada","year":2018,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University; Université de Sherbrooke; University of Lethbridge; Children's Hospital of Eastern Ontario","funders":"Fondation de la recherche en santé du Nouveau-Brunswick","keywords":"Geography; Demography; Psychology; Developmental psychology; Sociology","score_opus":0.01688637509457055,"score_gpt":0.30776078745494856,"score_spread":0.29087441236037803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2891239322","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98970103,0.00022502906,0.00035291936,0.0086376015,0.00020618533,0.0007162866,0.00003763481,0.000006219612,0.0001170793],"genre_scores_gemma":[0.99806195,0.00007450386,0.00054230157,0.00073909527,0.0004945801,0.0000022032261,0.000002653652,0.000009148352,0.000073558396],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99807024,0.00012326158,0.0005912842,0.0002577466,0.00057771825,0.0003797522],"domain_scores_gemma":[0.9988722,0.000035257213,0.0002335035,0.00010265186,0.00012681414,0.00062954717],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009844451,0.00013167788,0.00041662375,0.00015303519,0.00020324199,0.000026010672,0.0002351022,0.000059908536,0.0001000517],"category_scores_gemma":[0.00003840578,0.00012221876,0.00003564575,0.00056540366,0.000059172286,0.0002654523,0.0000046367813,0.00040918653,6.363092e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012229393,0.000364738,0.9485706,0.00000823933,0.000016375054,0.000027245993,0.049731724,0.000011821239,0.0000058500696,0.000085152096,0.000056462995,0.0009994785],"study_design_scores_gemma":[0.0012465535,0.00029225898,0.9938817,0.00017127897,0.000016889117,5.6183205e-7,0.0036534353,0.000013132029,0.0000054562697,0.0004984204,0.00010671698,0.000113568145],"about_ca_topic_score_codex":0.9600801,"about_ca_topic_score_gemma":0.9997053,"teacher_disagreement_score":0.04607829,"about_ca_system_score_codex":0.0005681582,"about_ca_system_score_gemma":0.021547029,"threshold_uncertainty_score":0.9839999},"labels":[],"label_agreement":null},{"id":"W2891279429","doi":"10.1111/cag.12488","title":"Children's perspectives on neighbourhood barriers and enablers to active school travel: A participatory mapping study","year":2018,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":65,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Western University","funders":"Children's Health Foundation; Children's Health Research Institute","keywords":"Photovoice; Thematic analysis; Citizen journalism; Focus group; Neighbourhood (mathematics); Privilege (computing); Psychological intervention; Psychology; Participatory action research; Perception; Sociology; Qualitative research; Pedagogy; Public relations; Medical education; Medicine; Political science; Social science","score_opus":0.015178904374952883,"score_gpt":0.24687290933474343,"score_spread":0.23169400495979053,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2891279429","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9874751,0.0003816777,0.0000019784247,0.0013847374,0.0004606978,0.0014274085,0.00019061123,0.0001306666,0.008547124],"genre_scores_gemma":[0.9979959,0.00015207173,0.000035568024,0.0008415555,0.0006112537,0.00016041129,0.000008951729,0.000045895315,0.00014835758],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9960998,0.0002564731,0.0003701068,0.0010836048,0.0004330225,0.0017569369],"domain_scores_gemma":[0.99440086,0.00010193206,0.00010853014,0.0005461518,0.00033274005,0.0045097843],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.00065386074,0.0004566094,0.00046418599,0.0035694358,0.0032162792,0.00031400728,0.0006144292,0.00018733497,0.0005470964],"category_scores_gemma":[0.00047315055,0.00048056032,0.00019704232,0.0053599696,0.003594049,0.0004880419,0.000034756074,0.00034208965,0.00001539151],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054196844,0.000051508785,0.86298513,0.0000059009735,0.00025003604,0.000029822131,0.13134755,8.298581e-7,0.0000067282776,0.0021023657,0.0009081412,0.002257775],"study_design_scores_gemma":[0.00027450066,0.0003293714,0.6071072,0.00002597436,0.000050678886,6.937418e-7,0.3892007,4.496683e-7,0.000008680319,0.0003052218,0.0023101075,0.00038641907],"about_ca_topic_score_codex":0.8656881,"about_ca_topic_score_gemma":0.99702185,"teacher_disagreement_score":0.25785315,"about_ca_system_score_codex":0.00029163022,"about_ca_system_score_gemma":0.0007868989,"threshold_uncertainty_score":0.9997646},"labels":[],"label_agreement":null},{"id":"W2891329851","doi":"10.23889/ijpds.v3i4.896","title":"International comparison in walkable environments and hospital burden in type 2 diabetes patients","year":2018,"lang":"en","type":"article","venue":"International Journal for Population Data Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Welsh; Neighbourhood (mathematics); Geography; Environmental health; Walkability; Health care; Type 2 diabetes; Medicine; Physical activity; Diabetes mellitus; Political science","score_opus":0.03860488224526202,"score_gpt":0.3741369762494719,"score_spread":0.33553209400420986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2891329851","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949461,0.000024529474,0.000101344514,0.0008252526,0.0033113435,0.00015811028,0.00005743338,0.0000057101242,0.00057012896],"genre_scores_gemma":[0.9982982,0.000045891502,0.0008619215,0.000045837718,0.00046862237,0.0000025169893,0.00018305393,0.000003909216,0.00009004034],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99830157,0.000028546103,0.00035742103,0.0003034057,0.00078403065,0.0002250121],"domain_scores_gemma":[0.9993702,0.00004489618,0.00017174256,0.0001327448,0.00019865594,0.00008172827],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012112618,0.00006792114,0.000091370035,0.00026482446,0.00026529364,0.00030312414,0.0013158082,0.00003783185,0.00010919037],"category_scores_gemma":[0.00059673475,0.00006649296,0.000014030612,0.00024924282,0.00037257187,0.0030583232,0.00017117555,0.000093895316,0.0000052715063],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021601949,0.00008572856,0.9866834,6.6847895e-7,0.0000041372436,5.9074875e-7,0.0009128751,0.000018336938,0.000046794034,0.00026613477,0.00017223907,0.011787436],"study_design_scores_gemma":[0.00046781084,0.000041031006,0.9688241,0.000026664859,0.0000022825614,1.07115866e-7,0.00021539512,0.0052469308,0.000023424798,0.0012668878,0.023798242,0.00008714281],"about_ca_topic_score_codex":0.0011564296,"about_ca_topic_score_gemma":0.002205567,"teacher_disagreement_score":0.023626002,"about_ca_system_score_codex":0.00025870808,"about_ca_system_score_gemma":0.00007727025,"threshold_uncertainty_score":0.2923033},"labels":[],"label_agreement":null},{"id":"W2891445851","doi":"10.1177/0361198118797459","title":"Relationship between Neighborhood Characteristics and Demand for Emergency Health Service Vehicles: A Poisson Hurdle Regression Modeling Approach","year":2018,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Nova Scotia Department of Health and Wellness","keywords":"Poisson regression; Nova scotia; Service (business); Population; Transport engineering; Poisson distribution; Regression analysis; Environmental health; Business; Geography; Statistics; Medicine; Engineering; Marketing; Mathematics","score_opus":0.2327179324481042,"score_gpt":0.4567643414923958,"score_spread":0.2240464090442916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2891445851","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9699235,0.00033186283,0.01931502,0.008222418,0.00035561743,0.0015403773,0.00013601307,0.000034389766,0.00014080034],"genre_scores_gemma":[0.9955167,0.0005080317,0.002511088,0.000053950967,0.0008703334,0.00006582539,0.000071198876,0.000046933394,0.00035592145],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99238104,0.0016891332,0.0016640559,0.00052234967,0.0027196791,0.001023732],"domain_scores_gemma":[0.992583,0.0010570689,0.00065871107,0.0003842866,0.0046868464,0.0006301297],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.010953383,0.00024141761,0.0005348252,0.00059699564,0.003099949,0.00016070546,0.0009134251,0.000299558,0.000076709584],"category_scores_gemma":[0.0004991997,0.00018732522,0.0002597856,0.0020975599,0.0006980066,0.0009624334,0.000007642609,0.0015918921,0.0000046462696],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006396077,0.00014859713,0.9715634,0.00046806558,0.000045733097,0.0000023554073,0.020584535,0.00003881053,0.00007519221,0.0025408773,0.0007992225,0.0030935933],"study_design_scores_gemma":[0.0010012963,0.00041497956,0.9759398,0.00031131378,0.00005824096,5.7432366e-8,0.006664412,0.0010128617,0.00003712656,0.012759846,0.001611334,0.0001887502],"about_ca_topic_score_codex":0.013293501,"about_ca_topic_score_gemma":0.04399238,"teacher_disagreement_score":0.030698882,"about_ca_system_score_codex":0.00023653154,"about_ca_system_score_gemma":0.0011401203,"threshold_uncertainty_score":0.99819785},"labels":[],"label_agreement":null},{"id":"W2891720760","doi":"10.1177/0361198118796357","title":"A Heteroscedastic Polarized Logit Model to Investigate the Competition of Bicycle for the Bikeable Trips with the Other Modes","year":2018,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mode choice; TRIPS architecture; Heteroscedasticity; Cycling; Context (archaeology); Popularity; Discrete choice; Econometrics; Logit; Travel behavior; Mode (computer interface); Competition (biology); Transport engineering; Nested logit; Economics; Computer science; Geography; Engineering; Public transport; Psychology","score_opus":0.1862524007715368,"score_gpt":0.4263422250116817,"score_spread":0.24008982424014488,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2891720760","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92125684,0.000113942995,0.04046312,0.035078734,0.00017450363,0.0025470604,0.00014013705,0.000020130294,0.00020552213],"genre_scores_gemma":[0.9964977,0.000098150216,0.0017150607,0.00029491147,0.00025753604,0.00019292686,0.0000056301665,0.000039559887,0.0008985579],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9933392,0.0012942998,0.0009604241,0.00034958098,0.0032067096,0.0008497997],"domain_scores_gemma":[0.99227774,0.0024349894,0.00046821928,0.00060613174,0.003935739,0.00027719926],"candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.009606949,0.00021154963,0.0003669235,0.00032883216,0.002778286,0.00022512121,0.0020469592,0.00013297814,0.00016061697],"category_scores_gemma":[0.00031388758,0.00009473327,0.0003438413,0.002251681,0.003923431,0.0005415435,0.000007794832,0.001166268,0.000006625234],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.027309515,0.0013505314,0.62016964,0.00077140104,0.0012484571,0.000020296873,0.14319141,0.049010422,0.056642093,0.08079635,0.01244868,0.0070411824],"study_design_scores_gemma":[0.003441157,0.0019110236,0.90882564,0.000578967,0.00031914518,2.0710777e-7,0.022870338,0.00866915,0.00614617,0.024602333,0.022237908,0.00039797553],"about_ca_topic_score_codex":0.031027332,"about_ca_topic_score_gemma":0.31259122,"teacher_disagreement_score":0.28865597,"about_ca_system_score_codex":0.00013473166,"about_ca_system_score_gemma":0.0011474087,"threshold_uncertainty_score":0.99878734},"labels":[],"label_agreement":null},{"id":"W2892180595","doi":"10.1016/j.pmedr.2018.08.011","title":"Corrigendum to “Impact of new rapid transit on physical activity: A meta-analysis” Preventive Medicine Reports 10 (2018) 184–190","year":2018,"lang":"en","type":"erratum","venue":"Preventive Medicine Reports","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Simon Fraser University","funders":"","keywords":"Medicine; Physical activity; Transit (satellite); Meta-analysis; Preventive healthcare; Gerontology; Environmental health; Physical therapy; Internal medicine; Transport engineering; Engineering; Public health; Pathology; Public transport","score_opus":0.1192362935270591,"score_gpt":0.40453999566934795,"score_spread":0.28530370214228884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2892180595","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15708965,0.019103862,0.010943137,0.015467402,0.08664385,0.021186698,0.000701707,0.0011283534,0.6877353],"genre_scores_gemma":[0.47984767,0.00012505012,0.000039221144,0.00009645446,0.006953277,0.00013183476,0.0005940178,0.00009840803,0.51211405],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.98692477,0.0013426774,0.0028149495,0.002995974,0.004587363,0.0013342538],"domain_scores_gemma":[0.98860073,0.00035854065,0.0053758468,0.0027560364,0.0014011665,0.0015076959],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0062216343,0.0015193694,0.0076768645,0.0013641535,0.00049834227,0.000051570834,0.00082447607,0.0008713613,0.02928267],"category_scores_gemma":[0.0025408424,0.0010333003,0.005636324,0.003764346,0.0021436033,0.00048005243,0.00013075523,0.001512128,0.000040215768],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030348965,0.0010755435,0.0028052512,0.00018469793,0.071709536,0.0017124837,0.015436331,0.000007151834,0.000074914155,0.000011866107,0.90388054,0.0027981724],"study_design_scores_gemma":[0.0009694739,0.004323263,0.09781177,0.001235859,0.42341185,0.00006286752,0.0011391187,0.000023756862,0.00042924093,0.005886813,0.46253583,0.0021701565],"about_ca_topic_score_codex":0.03268343,"about_ca_topic_score_gemma":0.0072250823,"teacher_disagreement_score":0.44134474,"about_ca_system_score_codex":0.000718907,"about_ca_system_score_gemma":0.0031727783,"threshold_uncertainty_score":0.9997555},"labels":[],"label_agreement":null},{"id":"W2892281707","doi":"10.1111/cag.12456","title":"Exploring e‐bikes as a mode of sustainable transport: A temporal qualitative study of the perspectives of a sample of novice riders in a Canadian city","year":2018,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":62,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Waterloo; University of British Columbia; Toronto Metropolitan University","funders":"","keywords":"Urban sprawl; Sustainable transport; Sample (material); Sustainability; Modal; Transport engineering; Public transport; Mode (computer interface); Modal shift; Business; Geography; Environmental economics; Psychology; Urban planning; Computer science; Engineering; Economics; Civil engineering; Ecology","score_opus":0.032481504204443325,"score_gpt":0.2883061870993743,"score_spread":0.25582468289493093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2892281707","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954692,0.00036515985,8.409495e-7,0.0003603426,0.0001408274,0.0011470367,0.0005869064,0.00001381394,0.0019158813],"genre_scores_gemma":[0.99962884,0.00011092669,0.000044661683,0.000022104625,0.00003625837,0.000082527535,0.000010459507,0.000022495995,0.000041743053],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9965108,0.00036410216,0.0009016755,0.0004959361,0.00050163374,0.0012258333],"domain_scores_gemma":[0.99676424,0.0002997839,0.0004726977,0.0005867602,0.0011198318,0.00075666164],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0011469376,0.00029993826,0.0007529386,0.0039705704,0.00060454366,0.000016445594,0.00091733516,0.00013616707,0.00010588656],"category_scores_gemma":[0.0005190965,0.00028116282,0.00035087552,0.009842933,0.0063766213,0.0005638934,0.00002327268,0.00021369448,9.2823775e-8],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046809935,0.00009553131,0.54806507,0.000079170604,0.00009838917,0.00000844838,0.4438862,0.0000066943417,0.000005811433,0.007644027,0.0000109187995,0.000052928677],"study_design_scores_gemma":[0.00031008132,0.00023541243,0.37224784,0.00007210415,0.00005478147,1.8449406e-7,0.6240454,0.0000012942544,0.00007495451,0.002449258,0.00033463817,0.00017409005],"about_ca_topic_score_codex":0.9999285,"about_ca_topic_score_gemma":0.99999726,"teacher_disagreement_score":0.18015915,"about_ca_system_score_codex":0.0002603924,"about_ca_system_score_gemma":0.0029615576,"threshold_uncertainty_score":0.99996406},"labels":[],"label_agreement":null},{"id":"W2892388188","doi":"10.1080/03081060.2018.1526879","title":"Strategies to achieve deep reductions in metropolitan transportation GHG emissions: the case of Philadelphia","year":2018,"lang":"en","type":"article","venue":"Transportation Planning and Technology","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; McGill University","funders":"Drexel University","keywords":"Greenhouse gas; Metropolitan area; Market penetration; Electricity; Public transport; Baseline (sea); Transport engineering; Battery electric vehicle; Electric vehicle; Population; Engineering; Environmental science; Environmental engineering; Environmental economics; Agricultural economics; Business; Natural resource economics; Economics; Geography","score_opus":0.024030226483588005,"score_gpt":0.3428979237618753,"score_spread":0.3188676972782873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2892388188","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98957545,0.0002924972,0.002408128,0.0064128614,0.00009674205,0.00026665028,0.000038544564,0.0001179977,0.0007911598],"genre_scores_gemma":[0.9989761,0.000021379803,0.0008248938,0.000030024967,0.00004707294,0.0000306361,0.000031020732,0.000007707386,0.00003116822],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.99897987,0.000041413514,0.0003793161,0.0002523414,0.000113179034,0.00023387547],"domain_scores_gemma":[0.9994787,0.00006179552,0.00010324572,0.00015704229,0.00013347287,0.000065749286],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030468762,0.00010722769,0.00017325343,0.0003362377,0.0004465955,0.000019735962,0.00015633418,0.00017566746,0.000053365795],"category_scores_gemma":[0.000027947139,0.00008909764,0.00003083454,0.0012368964,0.0007926381,0.00023090941,0.0000012093739,0.00018859918,0.0000013279655],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025042752,0.00020318868,0.40689173,0.000073794276,0.00006334648,0.000262517,0.13986845,0.00015791893,0.002842347,0.44209507,0.00017552421,0.0071156677],"study_design_scores_gemma":[0.00072242325,0.00040889514,0.39244193,0.00014138165,0.00013336289,0.000012421518,0.51670146,0.000068787835,0.002161467,0.083985,0.0028535156,0.0003693295],"about_ca_topic_score_codex":0.0052389796,"about_ca_topic_score_gemma":0.06744499,"teacher_disagreement_score":0.37683302,"about_ca_system_score_codex":0.000032661792,"about_ca_system_score_gemma":0.00009979969,"threshold_uncertainty_score":0.9495717},"labels":[],"label_agreement":null},{"id":"W2893142068","doi":"10.1016/j.jth.2018.09.007","title":"Investigation of life satisfaction, travel, built environment and attitudes","year":2018,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":81,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Ordered probit; Life satisfaction; Probit model; Sample (material); Psychology; Nova scotia; Variables; Social psychology; Probit; Built environment; Travel behavior; Applied psychology; Geography; Economics; Engineering; Econometrics; Mathematics; Transport engineering; Statistics","score_opus":0.04591172991549333,"score_gpt":0.3180734110397765,"score_spread":0.2721616811242832,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2893142068","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.994277,0.0007938957,0.0011326567,0.0033402608,0.0001855894,0.00012447263,0.000008598304,0.000005945571,0.000131555],"genre_scores_gemma":[0.9969517,0.0010943947,0.0012884394,0.00030256063,0.0003271624,6.398892e-7,0.0000016841132,0.0000057956045,0.000027612996],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99847066,0.00008578919,0.000710399,0.00011451165,0.0004425645,0.00017606464],"domain_scores_gemma":[0.9988869,0.000031393683,0.00055703864,0.00008516055,0.00010176799,0.00033774175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013983882,0.000078515615,0.00029080536,0.000075283715,0.00024249613,0.000008950972,0.00010454772,0.000063752865,0.00021120146],"category_scores_gemma":[0.000015595537,0.00006839989,0.00006900114,0.000111948,0.000555067,0.00032415785,0.0000018541025,0.00014167772,0.0000012634678],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004505687,0.000025661113,0.9887587,0.00007116642,0.000019373809,0.0000010473947,0.0082926415,0.0000016199843,0.00027846743,0.00016084965,0.00010244355,0.0022429673],"study_design_scores_gemma":[0.00029918912,0.00024510792,0.9965351,0.000059031703,0.00002130159,8.132446e-7,0.0005417772,8.548074e-7,0.00022663848,0.00070785376,0.0013050208,0.000057266705],"about_ca_topic_score_codex":0.0051576546,"about_ca_topic_score_gemma":0.009936535,"teacher_disagreement_score":0.0077764397,"about_ca_system_score_codex":0.000075348726,"about_ca_system_score_gemma":0.00073565304,"threshold_uncertainty_score":0.77968657},"labels":[],"label_agreement":null},{"id":"W2893648460","doi":"10.1177/0885412218802467","title":"Toward More Sustainable Behavior: A Systematic Review of the Impacts of Involuntary Workplace Relocation on Travel Mode Choice","year":2018,"lang":"en","type":"review","venue":"Journal of Planning Literature","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Relocation; Travel behavior; Mode choice; Work (physics); Sustainable transport; Sustainability; Transport engineering; Business; Psychology; Public transport; Engineering; Computer science","score_opus":0.04145808031857464,"score_gpt":0.38047080575347453,"score_spread":0.3390127254348999,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2893648460","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0005673093,0.9969706,0.000009476487,0.00011018389,0.00032330927,0.0016942783,0.000065301574,0.000005148649,0.0002544036],"genre_scores_gemma":[0.0032420275,0.9951287,0.00008507387,0.00010676108,0.0004894507,0.00003078405,0.000039104754,0.0000254809,0.00085260195],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9959436,0.00079974334,0.0017984756,0.00020166452,0.00096748996,0.00028901725],"domain_scores_gemma":[0.9938361,0.00035595737,0.0042297235,0.0004536817,0.0009986261,0.00012588952],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028300118,0.00031021377,0.002236042,0.00021675548,0.00016789314,0.0000859401,0.0010282706,0.0004270339,0.000014534011],"category_scores_gemma":[0.0012422547,0.00017154981,0.0009143327,0.0011232713,0.00017155476,0.00041546344,0.000030523683,0.0010154839,5.2678774e-7],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013367279,0.00009720496,0.0007232823,0.9860336,0.00012706399,0.000032811167,0.010557082,0.0000010491815,5.0464786e-7,0.000061756844,0.002157525,0.00019471315],"study_design_scores_gemma":[0.00009245031,0.00008169125,0.0005198117,0.9741935,0.0026432262,0.000022399121,0.00086915947,3.681464e-7,0.0000019621612,0.000037126563,0.021380575,0.00015774502],"about_ca_topic_score_codex":0.00015022879,"about_ca_topic_score_gemma":0.000013737901,"teacher_disagreement_score":0.01922305,"about_ca_system_score_codex":0.0003062074,"about_ca_system_score_gemma":0.0011683556,"threshold_uncertainty_score":0.6995598},"labels":[],"label_agreement":null},{"id":"W2893773234","doi":"10.1016/j.jtrangeo.2018.09.006","title":"Urban developments and daily travel distances: Fixed, random and hybrid effects models using a Dutch pseudo-panel over three decades","year":2018,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Technische Universiteit Delft","keywords":"Travel survey; Ordinary least squares; Geography; Travel behavior; Panel data; Random effects model; Vehicle miles of travel; Transport engineering; Mode choice; Fixed effects model; Econometric model; Econometrics; Empirical evidence; Car ownership; Travel time; Demographic economics; Public transport; Engineering; Economics","score_opus":0.02542272559682322,"score_gpt":0.27365133139422115,"score_spread":0.24822860579739794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2893773234","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9775437,0.0022801405,0.018948557,0.000066316665,0.000359841,0.0003082741,0.000024755844,0.000020368856,0.00044803304],"genre_scores_gemma":[0.9950619,0.00051048456,0.003972242,0.000093962546,0.00031642,0.0000032712599,0.0000034990505,0.000019576784,0.000018693981],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977145,0.0000745752,0.00070733816,0.0003387387,0.0006972529,0.0004675565],"domain_scores_gemma":[0.9987529,0.00011941697,0.00038768508,0.00013988526,0.00023410289,0.00036600264],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010913555,0.00026638905,0.00058085757,0.00028658437,0.00064090703,0.00010664068,0.00031194504,0.00012516408,0.000031271324],"category_scores_gemma":[0.000016154288,0.00021968958,0.00026124678,0.00042550688,0.0009943909,0.0011548942,0.000009558131,0.00027222975,2.4451958e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005233529,0.000080189864,0.9916646,0.00009544245,0.00017070828,0.00006959814,0.005332114,0.0000032463395,0.00035556714,0.000104241735,0.00004415806,0.0015567717],"study_design_scores_gemma":[0.0033317006,0.000122823,0.9885685,0.00028794358,0.0003148152,0.000013068139,0.00039461072,0.00014741327,0.0003997746,0.0055986093,0.0004954894,0.00032527436],"about_ca_topic_score_codex":0.00078223814,"about_ca_topic_score_gemma":0.0020802827,"teacher_disagreement_score":0.017518137,"about_ca_system_score_codex":0.000031121806,"about_ca_system_score_gemma":0.00019439004,"threshold_uncertainty_score":0.8958681},"labels":[],"label_agreement":null},{"id":"W2894698295","doi":"10.1007/s10901-018-9631-4","title":"Are sustainable residential choice also desirable? A study of household satisfaction and aspirations with regard to current and future residential location","year":2018,"lang":"en","type":"article","venue":"Journal of Housing and the Built Environment","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Université de Montréal","funders":"","keywords":"Residence; Prosperity; Sustainable development; Business; Environmental economics; Marketing; Economic growth; Economics; Demographic economics; Political science","score_opus":0.030166445519530266,"score_gpt":0.28233251139051824,"score_spread":0.252166065870988,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2894698295","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969772,0.0009742301,0.00068497285,0.00089423324,0.00009978731,0.00034020992,0.0000010247308,0.0000047373237,0.000023597262],"genre_scores_gemma":[0.9989112,0.00033320714,0.00012219038,0.000020740288,0.0005577917,0.0000032229668,1.3732105e-7,0.00000666239,0.000044821223],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988884,0.00018137513,0.00027749213,0.00014243102,0.00037650464,0.00013383228],"domain_scores_gemma":[0.99924535,0.000048362857,0.00042488708,0.000118329044,0.00008111004,0.000081990125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091249996,0.000085937834,0.00018118432,0.00007434251,0.00065981643,0.00011974687,0.000068614485,0.000034915673,0.000007291614],"category_scores_gemma":[0.000041840165,0.000055256,0.000019343905,0.00011401184,0.00035817735,0.00031369991,0.000031434614,0.0001223121,1.375576e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00075228105,0.00022899467,0.9748674,0.0000498771,0.000072184615,0.000010445282,0.016633226,0.0002733587,0.00012038492,0.00016284567,0.00015158355,0.0066773877],"study_design_scores_gemma":[0.0013247582,0.00037865125,0.98174626,0.000056443772,0.00018288048,0.00000273544,0.013936416,0.000006042352,0.000066925815,0.00040177634,0.0018246479,0.00007245396],"about_ca_topic_score_codex":0.0033663001,"about_ca_topic_score_gemma":0.010762494,"teacher_disagreement_score":0.007396194,"about_ca_system_score_codex":0.00005974472,"about_ca_system_score_gemma":0.00004956298,"threshold_uncertainty_score":0.60057247},"labels":[],"label_agreement":null},{"id":"W2895039732","doi":"10.1016/j.pmedr.2018.09.014","title":"Evaluation of the impact of a public bicycle share program on population bicycling in Vancouver, BC","year":2018,"lang":"en","type":"article","venue":"Preventive Medicine Reports","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Montréal; Centre Hospitalier de l’Université de Montréal; Simon Fraser University; Providence Health Care; University of British Columbia; Memorial University of Newfoundland; British Columbia Centre of Excellence for Women's Health","funders":"City of Vancouver; Canadian Institutes of Health Research","keywords":"Population; Service (business); Sample (material); Public transport; Gerontology; Human factors and ergonomics; Public service; Difference in differences; Work (physics); Poison control; Injury prevention; Environmental health; Geography; Transport engineering; Medicine; Demography; Business; Engineering; Political science; Marketing; Sociology; Economics; Public administration","score_opus":0.0951725039207636,"score_gpt":0.4452840933720795,"score_spread":0.35011158945131593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2895039732","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9904634,0.000103571365,0.000015724472,0.00010427894,0.00040980373,0.0010579079,0.000001940529,0.00001793056,0.007825481],"genre_scores_gemma":[0.9996644,0.0000028347072,0.000018291914,0.0000030620993,0.00017672291,0.000033693726,0.000010922912,0.000005284694,0.00008478612],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997434,0.00047986233,0.0005683213,0.00021821584,0.001127676,0.0001718869],"domain_scores_gemma":[0.99825823,0.000057235862,0.00067826913,0.0002617332,0.0006961373,0.00004842005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006493288,0.00008260386,0.00021559163,0.000120061006,0.00010390949,0.000005761097,0.000117255666,0.00005686172,0.00043785083],"category_scores_gemma":[0.0022819415,0.000050140527,0.000112864625,0.00075294747,0.00033679756,0.00019741933,0.000017394179,0.00008522851,2.9995678e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007718795,0.0002624827,0.9439787,0.000012334393,0.000019955136,0.0000010284613,0.0024155702,0.000014360095,0.00009200103,0.000012497637,0.000079403755,0.05310389],"study_design_scores_gemma":[0.0002469741,0.00016657492,0.9914327,0.00028470345,0.000057964036,1.8405358e-7,0.0004815211,0.00027017182,0.00024545926,0.006731774,0.000035188204,0.0000467511],"about_ca_topic_score_codex":0.0229772,"about_ca_topic_score_gemma":0.03569122,"teacher_disagreement_score":0.05305714,"about_ca_system_score_codex":0.00023465215,"about_ca_system_score_gemma":0.0003455788,"threshold_uncertainty_score":0.98352885},"labels":[],"label_agreement":null},{"id":"W2895589345","doi":"10.1016/j.healthplace.2018.08.009","title":"Association between residential self-selection and non-residential built environment exposures","year":2018,"lang":"en","type":"article","venue":"Health & Place","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canada Research Chairs; The Scarborough Hospital; Institute for Work & Health; St. Michael's Hospital; University of Toronto","funders":"Canada Research Chairs; Heart and Stroke Foundation of Canada","keywords":"Walkability; Built environment; Environmental health; Association (psychology); Level design; Sample (material); Geography; Psychology; Medicine; Computer science; Engineering; Civil engineering","score_opus":0.01814327229405105,"score_gpt":0.31544570740319605,"score_spread":0.297302435109145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2895589345","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99336374,0.00016710136,0.000630867,0.0041475194,0.00037504817,0.00038394777,0.000010269615,0.00010293792,0.00081859407],"genre_scores_gemma":[0.99532807,0.00020845995,0.0005144954,0.00020251544,0.0020953792,0.000011315985,0.000011917472,0.000009940091,0.0016178993],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980783,0.00027827706,0.00032355735,0.000326965,0.0005490931,0.0004437939],"domain_scores_gemma":[0.9992578,0.00012221537,0.0002517756,0.00011261303,0.000050249444,0.00020534665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00168209,0.00010480964,0.00018319307,0.000056295048,0.0011581479,0.00010762614,0.0001257825,0.00015628047,0.0003073803],"category_scores_gemma":[0.00006021995,0.00011326315,0.000037995036,0.00014560334,0.00009263116,0.00032889112,0.000023720342,0.00015748384,0.00006842422],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026229256,0.000035955927,0.9813737,0.000023495219,0.00003113207,5.0472767e-7,0.0062233373,7.382168e-7,0.00005508708,0.000027557891,0.011081973,0.0011202499],"study_design_scores_gemma":[0.0003296603,0.00013477834,0.9617573,0.000013350758,0.000043033575,9.815111e-8,0.0002591286,0.000015502355,0.00031455216,0.0003080958,0.036707606,0.00011691933],"about_ca_topic_score_codex":0.027995432,"about_ca_topic_score_gemma":0.057367485,"teacher_disagreement_score":0.029372051,"about_ca_system_score_codex":0.00056388596,"about_ca_system_score_gemma":0.00034811813,"threshold_uncertainty_score":0.97847724},"labels":[],"label_agreement":null},{"id":"W2895602085","doi":"10.1016/j.dib.2018.09.096","title":"Distance-decay functions of travel to work trips in India","year":2018,"lang":"en","type":"article","venue":"Data in Brief","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Economic and Social Research Council; Centre for Diet and Activity Research; National Institute for Health and Care Research; Medical Research Council Canada; United Kingdom Clinical Research Collaboration; Cancer Research UK; British Heart Foundation; Wellcome Trust; Medical Research Council; Wellcome","keywords":"TRIPS architecture; Work (physics); Distance decay; Geography; Transport engineering; Computer science; Economic geography; Engineering","score_opus":0.05057980947436097,"score_gpt":0.326966233351627,"score_spread":0.27638642387726603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2895602085","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9722262,0.000062112325,0.0010062553,0.00044186955,0.00035263854,0.00025960428,0.0004993498,0.000016715183,0.025135268],"genre_scores_gemma":[0.99891245,0.0000057644465,0.00020685761,0.0000890622,0.00015273072,0.00000703848,0.00015061628,0.0000039620313,0.00047151954],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990467,0.00005269407,0.00024663477,0.00026458246,0.00018679172,0.00020263086],"domain_scores_gemma":[0.9993177,0.00006007436,0.000043079966,0.0004854607,0.000028753364,0.0000649372],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074018765,0.000054261418,0.00013363114,0.000076837,0.00008034075,0.000022886297,0.00059100334,0.00005728501,0.00038398625],"category_scores_gemma":[0.00012936081,0.000054102373,0.000015251421,0.0011047369,0.00026144262,0.00032585333,0.000049590086,0.00008980201,0.00002801128],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005056154,0.00011362521,0.98419976,0.000005494164,0.0000023363114,0.000002207818,0.0044325427,2.1786285e-7,0.00001807607,0.0011728059,0.0047850567,0.005217287],"study_design_scores_gemma":[0.00017982292,0.000012643417,0.92948556,0.00002976957,0.0000030282972,1.1316029e-8,0.00079188426,0.0000013358788,0.000044138676,0.00022996488,0.06915773,0.00006409183],"about_ca_topic_score_codex":0.007767744,"about_ca_topic_score_gemma":0.0878233,"teacher_disagreement_score":0.08005556,"about_ca_system_score_codex":0.00004104638,"about_ca_system_score_gemma":0.000107356165,"threshold_uncertainty_score":0.9988396},"labels":[],"label_agreement":null},{"id":"W2895833733","doi":"10.1155/2018/4540832","title":"Joint Analysis of the Commuting Departure Time and Travel Mode Choice: Role of the Built Environment","year":2018,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Beijing Municipal Natural Science Foundation; National Natural Science Foundation of China; China Association for Science and Technology","keywords":"Public transport; Mode choice; Transport engineering; Travel behavior; Mode (computer interface); Socioeconomic status; Built environment; TRIPS architecture; Service (business); China; Travel survey; Computer science; Business; Engineering; Geography; Marketing","score_opus":0.010695635484974453,"score_gpt":0.27511721756018104,"score_spread":0.2644215820752066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2895833733","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99881804,0.0002090575,0.00034058944,0.00031140653,0.00006272603,0.00010788474,0.000030452891,0.0000019434067,0.0001179284],"genre_scores_gemma":[0.9993637,0.000049565977,0.00047236125,0.000023248082,0.000049856604,6.1111047e-7,0.0000037289324,0.000003873669,0.000033044227],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988611,0.000070480775,0.00048879115,0.00008191156,0.00039850592,0.000099211444],"domain_scores_gemma":[0.99892867,0.00005471662,0.000720822,0.00014261504,0.00011354075,0.000039663115],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036523998,0.00006743364,0.00023641004,0.00005142406,0.00019427846,0.000006470448,0.00020791047,0.000050035334,0.000049737155],"category_scores_gemma":[0.00002676893,0.000040471896,0.0002225492,0.0003406804,0.00034371382,0.00021224117,0.0000027989408,0.00012891118,1.4183124e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007508801,0.00012301814,0.8590868,0.00001809182,0.00026559498,3.5836266e-7,0.030168215,0.013405569,0.0932893,0.00015373167,0.0000037755517,0.0034104404],"study_design_scores_gemma":[0.00022288173,0.000031479136,0.9845102,0.000035596422,0.00055213255,8.157548e-8,0.0015032785,0.00022013311,0.011960416,0.00074068794,0.00018019295,0.000042959648],"about_ca_topic_score_codex":0.0003570059,"about_ca_topic_score_gemma":0.005489432,"teacher_disagreement_score":0.12542334,"about_ca_system_score_codex":0.000027556922,"about_ca_system_score_gemma":0.000052792675,"threshold_uncertainty_score":0.30632317},"labels":[],"label_agreement":null},{"id":"W2896113077","doi":"10.1287/mnsc.2019.3550","title":"The Last Mile Matters: Impact of Dockless Bike Sharing on Subway Housing Price Premium","year":2020,"lang":"en","type":"article","venue":"Management Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":133,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Apartment; Mile; Price premium; Attractiveness; Business; Beijing; Hedonic pricing; Agricultural economics; Finance; Residence; China; Transport engineering; Willingness to pay; Economics; Demographic economics; Geography; Engineering; Microeconomics; Econometrics; Civil engineering","score_opus":0.032043690834069494,"score_gpt":0.3165317040914533,"score_spread":0.2844880132573838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2896113077","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9560533,0.00002468159,0.00044897656,0.0026604163,0.0001706615,0.0003420225,0.0000030226977,0.000063691594,0.04023321],"genre_scores_gemma":[0.9991658,0.000017675991,0.00011191845,0.00039379954,0.00006645738,0.0000056917443,5.1076375e-7,0.0000051113284,0.00023303853],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982041,0.000030898704,0.00019862362,0.0003984442,0.0007427799,0.00042511825],"domain_scores_gemma":[0.999358,0.000055727713,0.00011800149,0.0002877683,0.000047091522,0.00013341464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012709851,0.00009440152,0.0001049661,0.00006137935,0.0010111261,0.00031251748,0.0013364066,0.000018090455,0.00007422058],"category_scores_gemma":[0.00004709293,0.00006425527,0.00007665818,0.001304059,0.0008071766,0.00048634395,0.00018248825,0.00008289026,0.000021656037],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006931929,0.00014038378,0.9611112,0.00012314628,0.000039469942,0.000012619965,0.012967433,0.0011014187,0.0016370666,0.011319369,0.0023505474,0.009128013],"study_design_scores_gemma":[0.00025291738,0.00008907503,0.98447675,0.00008344775,0.000024148294,3.6415173e-8,0.003939943,0.0010067401,0.0010792344,0.0007601374,0.008048242,0.00023936087],"about_ca_topic_score_codex":0.0005502795,"about_ca_topic_score_gemma":0.0002338321,"teacher_disagreement_score":0.04311248,"about_ca_system_score_codex":0.0001282812,"about_ca_system_score_gemma":0.00006183486,"threshold_uncertainty_score":0.77768666},"labels":[],"label_agreement":null},{"id":"W2896425003","doi":"10.1016/j.tbs.2018.09.008","title":"Estimating a Toronto pedestrian route choice model using smartphone GPS data","year":2018,"lang":"en","type":"article","venue":"Travel Behaviour and Society","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":76,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Pedestrian; Global Positioning System; Transport engineering; Mixed logit; Revealed preference; Computer science; Discrete choice; Logit; Travel behavior; Geography; Logistic regression; Engineering; Mathematics; Econometrics; Telecommunications; Machine learning","score_opus":0.11669616401461808,"score_gpt":0.38065705715602144,"score_spread":0.26396089314140336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2896425003","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.971347,0.00015544139,0.025382191,0.00009024669,0.0002529901,0.00019461139,0.0001257566,0.00007978984,0.002371985],"genre_scores_gemma":[0.9633134,0.000025093732,0.035422247,0.00011604965,0.00066914654,0.0000030930585,0.000054727414,0.000015459842,0.00038079396],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99847174,0.000039105307,0.00026163645,0.0004889065,0.00032243424,0.00041617447],"domain_scores_gemma":[0.99913853,0.000040207415,0.00009278648,0.00043387132,0.00009150005,0.00020312848],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082940154,0.00015711048,0.00021287659,0.0000066262974,0.0012764477,0.00017016883,0.00045792238,0.00016872665,0.00014089273],"category_scores_gemma":[0.0000362348,0.00015462225,0.000090547146,0.00010178979,0.00053004274,0.0009576558,0.000091078226,0.00014877245,0.0000021370392],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008216068,0.00012494577,0.95536923,0.000024745465,0.000025714964,0.0000014001821,0.04083343,0.000013040146,0.00031884582,0.00015051912,0.0005481812,0.0025817521],"study_design_scores_gemma":[0.00074986747,0.000032053038,0.84882534,0.000040820298,0.0002267437,7.9976934e-7,0.007865971,0.14101996,0.00005363693,0.00060588744,0.00014149498,0.00043744358],"about_ca_topic_score_codex":0.0803182,"about_ca_topic_score_gemma":0.038462345,"teacher_disagreement_score":0.1410069,"about_ca_system_score_codex":0.00013534399,"about_ca_system_score_gemma":0.00028621778,"threshold_uncertainty_score":0.98175323},"labels":[],"label_agreement":null},{"id":"W2896431756","doi":"","title":"Jumping In: Examining Public Perception of Urban Swimming in the Halifax Harbour.","year":2018,"lang":"en","type":"dissertation","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Perception; Recreation; Tourism; Transport engineering; Quality (philosophy); Engineering; Business; Environmental planning; Geography; Psychology; Political science","score_opus":0.05981328582123057,"score_gpt":0.3376486915485172,"score_spread":0.2778354057272866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2896431756","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89139646,0.00009736397,0.000014788467,0.00013775314,0.0003362264,0.00027464275,0.000002408622,0.000023237108,0.10771711],"genre_scores_gemma":[0.99628115,0.000029140936,0.000114109585,0.000053203075,0.0002802975,0.00002351805,0.00019436803,0.000011583562,0.0030126425],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998159,0.00021774904,0.0004969117,0.0003210571,0.0004891631,0.00031615733],"domain_scores_gemma":[0.99931157,0.00010485628,0.00022863956,0.00020679919,0.00011203006,0.000036131427],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022668336,0.000144475,0.00025847903,0.0002678941,0.00020899902,0.0001159714,0.00052411406,0.0002899452,0.00073935406],"category_scores_gemma":[0.00017918737,0.00011406489,0.000073743955,0.00069143856,0.00013531046,0.00046032033,0.0000071276713,0.000296752,0.00000982494],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000139937565,0.00008845998,0.84144497,0.00009429002,0.0000056745575,0.0000021824915,0.15070872,1.4667903e-7,0.00013355515,0.0009914312,0.0001778136,0.0063387672],"study_design_scores_gemma":[0.00011131431,0.000015401543,0.85286176,0.00016609828,0.000010779953,2.3822858e-8,0.1449366,0.000011966025,0.000020674004,0.00032532244,0.0014044334,0.0001356409],"about_ca_topic_score_codex":0.019630117,"about_ca_topic_score_gemma":0.2944024,"teacher_disagreement_score":0.2747723,"about_ca_system_score_codex":0.00011020432,"about_ca_system_score_gemma":0.0002780262,"threshold_uncertainty_score":0.98689824},"labels":[],"label_agreement":null},{"id":"W2897608845","doi":"10.1155/2018/2696037","title":"Transportation Planning through GIS and Multicriteria Analysis: Case Study of Beijing and XiongAn","year":2018,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Beijing; Transport engineering; Geographic information system; Transportation planning; Analytic hierarchy process; Flow network; Urbanization; Population; Computer science; Operations research; Engineering; Geography","score_opus":0.0296698602887331,"score_gpt":0.362906800419304,"score_spread":0.3332369401305709,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2897608845","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964504,0.00029285136,0.002822219,0.000041267293,0.00014256207,0.0002046612,0.000013932609,0.000011873097,0.000020211997],"genre_scores_gemma":[0.9961269,0.0000645894,0.0036721986,0.0000117092695,0.0001000694,0.0000020750233,0.000009734854,0.00000758779,0.0000051208285],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985767,0.000069343696,0.0007190342,0.00018128725,0.00031398662,0.0001396761],"domain_scores_gemma":[0.99884206,0.00007578421,0.00055731804,0.00007798261,0.00035999296,0.000086847875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004534133,0.00010997133,0.00033951623,0.00017209932,0.000284603,0.000027971422,0.00006960839,0.000060316685,0.000018403194],"category_scores_gemma":[0.000019222198,0.000102016806,0.00007732551,0.00051212974,0.00020782824,0.0011649306,6.0129594e-7,0.000117543364,5.13024e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019325288,0.00017486048,0.7380632,0.00003541586,0.00019542123,0.00026043304,0.2571345,0.0007548219,0.0012196401,0.00004626618,8.838651e-7,0.0019212811],"study_design_scores_gemma":[0.0011467328,0.0003992891,0.8679634,0.000052484156,0.00093041477,0.000004716286,0.12887418,0.00002131513,0.0002623611,0.00019799217,0.000046309677,0.00010083054],"about_ca_topic_score_codex":0.0013935592,"about_ca_topic_score_gemma":0.024330666,"teacher_disagreement_score":0.12990016,"about_ca_system_score_codex":0.00001723606,"about_ca_system_score_gemma":0.00004076208,"threshold_uncertainty_score":0.99347275},"labels":[],"label_agreement":null},{"id":"W289767374","doi":"","title":"Analysis of Stated-Preference and GPS Data for Bicycle Travel Forecasting","year":2011,"lang":"en","type":"article","venue":"Transportation Research Board 90th Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Cycling; Global Positioning System; TRIPS architecture; Data collection; Transport engineering; Trip generation; Work (physics); Travel survey; Survey data collection; Computer science; Travel behavior; Geography; Revealed preference; Journey to work; Operations research; Engineering; Econometrics; Public transport; Statistics; Mathematics; Telecommunications","score_opus":0.35974784761932654,"score_gpt":0.44638318966599505,"score_spread":0.0866353420466685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W289767374","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9836114,0.0002478915,0.0054324223,0.00036822623,0.00009926272,0.0022294829,0.004548289,0.0001221757,0.0033408431],"genre_scores_gemma":[0.99121946,0.0003275822,0.0055823354,0.000026039348,0.000099053315,0.00026641914,0.0020358835,0.000055292512,0.00038795944],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9909422,0.0009290989,0.0015020455,0.0015068679,0.00339156,0.0017282664],"domain_scores_gemma":[0.99091005,0.0020959734,0.0003605682,0.0010434227,0.004665489,0.00092447683],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.013938301,0.0003369539,0.0008107197,0.0020315025,0.0015920234,0.00016177197,0.0016415376,0.0003555815,0.0006489538],"category_scores_gemma":[0.0011503216,0.0003469868,0.0002544494,0.004415782,0.0024311102,0.0016294498,0.000029612544,0.0009468572,0.0000054939323],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016995217,0.0005229745,0.88627625,0.00059110473,0.0006658529,0.00003447466,0.08810946,0.000084357634,0.00057375577,0.013224469,0.0005000314,0.007717754],"study_design_scores_gemma":[0.0010060469,0.00036654857,0.95226246,0.00012492941,0.00046605346,2.5480542e-8,0.03791847,0.001172537,0.00076032645,0.002845823,0.0026859804,0.00039079323],"about_ca_topic_score_codex":0.08997305,"about_ca_topic_score_gemma":0.25223827,"teacher_disagreement_score":0.16226521,"about_ca_system_score_codex":0.00010024584,"about_ca_system_score_gemma":0.0010947866,"threshold_uncertainty_score":0.9998982},"labels":[],"label_agreement":null},{"id":"W2897855953","doi":"10.7202/1058684ar","title":"Usages du vélo et rapports aux espaces publics des enfants : permanence de la division par sexe dans un dispositif d’apprentissage dans un quartier populaire à Strasbourg","year":2019,"lang":"fr","type":"article","venue":"Enfances Familles Générations","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.014564113810991873,"score_gpt":0.3021722443116154,"score_spread":0.2876081305006235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2897855953","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95659477,0.0031642036,0.0060166856,0.0020403815,0.0014000178,0.00071542803,0.00039793798,0.00022657776,0.02944399],"genre_scores_gemma":[0.9866749,0.0023661396,0.0009618132,0.00013486423,0.00030018407,0.000078013596,0.0002836895,0.000058507143,0.009141879],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9946603,0.00141129,0.00084459665,0.0010347033,0.0009359851,0.0011131117],"domain_scores_gemma":[0.9976578,0.0005261272,0.00045150748,0.0006939152,0.00018362829,0.00048701966],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001821778,0.0005759236,0.00059042714,0.00013793666,0.0024252469,0.0008073705,0.000961523,0.00047849826,0.0009403439],"category_scores_gemma":[0.00012770799,0.0005831467,0.00035791603,0.0011093441,0.0025880674,0.002967914,0.00013475798,0.0005922775,0.00007556894],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014261443,0.00052020286,0.8455668,0.000107493026,0.0000906068,0.00004577748,0.119703375,0.00043419757,0.0011951477,0.016044252,0.00022412217,0.016053738],"study_design_scores_gemma":[0.00045424342,0.000112291294,0.92722225,0.00029500437,0.0001742381,0.000007205188,0.051969472,0.00088736747,0.0012060122,0.010954145,0.0059760134,0.00074176496],"about_ca_topic_score_codex":0.008557159,"about_ca_topic_score_gemma":0.023680022,"teacher_disagreement_score":0.08165541,"about_ca_system_score_codex":0.00020533855,"about_ca_system_score_gemma":0.0006732476,"threshold_uncertainty_score":0.99997294},"labels":[],"label_agreement":null},{"id":"W2898121486","doi":"10.3390/urbansci3010033","title":"Insights from Self-Organizing Maps for Predicting Accessibility Demand for Healthcare Infrastructure","year":2019,"lang":"en","type":"article","venue":"Urban Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Pacific Institute for Climate Solutions; Clemson University","keywords":"Health care; Cluster analysis; Population; Computer science; Data science; Geography; Business; Medicine; Economic growth; Artificial intelligence; Economics; Environmental health","score_opus":0.017265740430959138,"score_gpt":0.3011145019288358,"score_spread":0.2838487614978767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2898121486","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.993243,0.00030811998,0.0013918539,0.00048213263,0.0012392648,0.0016848964,0.00016344697,0.00021866511,0.0012686561],"genre_scores_gemma":[0.99249256,0.000004166778,0.0064196484,0.00026088924,0.0005539764,0.000044376127,0.000033525394,0.000015006152,0.0001758572],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972766,0.000061649596,0.00040160405,0.0009572324,0.000663586,0.0006393263],"domain_scores_gemma":[0.9981058,0.00039937545,0.00023073281,0.00047217426,0.00049562874,0.00029626786],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0011354286,0.00017795149,0.0002798521,0.00010106614,0.0017012315,0.00036507784,0.0011719476,0.00015858596,0.00005899378],"category_scores_gemma":[0.0005092582,0.00015508108,0.00010332085,0.0008919521,0.00052191113,0.0016719762,0.000080383004,0.00016955676,0.0000073030824],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029052255,0.000030981955,0.9791744,0.00008120302,0.0000066401312,2.3426395e-7,0.013827155,0.000004344182,0.0026211354,0.003150931,0.00032350037,0.00075044174],"study_design_scores_gemma":[0.0007593742,0.00009005649,0.935205,0.00006444805,0.000030610805,7.751293e-8,0.0038094,0.0008792441,0.0022372657,0.04423236,0.012339265,0.00035289765],"about_ca_topic_score_codex":0.0010436645,"about_ca_topic_score_gemma":0.0017663826,"teacher_disagreement_score":0.043969378,"about_ca_system_score_codex":0.00032207073,"about_ca_system_score_gemma":0.0011838935,"threshold_uncertainty_score":0.99959844},"labels":[],"label_agreement":null},{"id":"W2898143776","doi":"10.1016/j.healthplace.2018.10.002","title":"Context Matters: Examining children's perceived barriers to physical activity across varying Canadian environments","year":2018,"lang":"en","type":"article","venue":"Health & Place","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Children’s Health Research Institute; Western University","funders":"Social Sciences and Humanities Research Council of Canada; Canadian Institutes of Health Research; Children's Health Foundation; Heart and Stroke Foundation of Canada; Children's Health Research Institute; Child Health Foundation","keywords":"Intrapersonal communication; Perception; Context (archaeology); Perspective (graphical); Psychology; Logistic regression; Geography; Physical activity; Built environment; Population; Environmental health; Developmental psychology; Social psychology; Medicine; Interpersonal communication; Ecology","score_opus":0.030818241055427166,"score_gpt":0.3386533891386385,"score_spread":0.30783514808321133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2898143776","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98992133,0.000013511348,0.000074009484,0.008260447,0.00025198332,0.0004763059,0.00007933749,0.000046427005,0.00087665435],"genre_scores_gemma":[0.9897863,0.000004519576,0.00007074229,0.009074262,0.00048147925,0.000015368789,0.0000083952345,0.000015442793,0.0005434621],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979649,0.00019446328,0.00014176866,0.00043648787,0.00031131678,0.0009510507],"domain_scores_gemma":[0.997932,0.00007401201,0.00007639788,0.00023082917,0.000016901797,0.0016698393],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0006342493,0.00014457868,0.00022784944,0.000039224702,0.002064212,0.00008624026,0.000279747,0.00007652014,0.0004107125],"category_scores_gemma":[0.000077278484,0.00015401102,0.000041045343,0.00018262927,0.00034694336,0.00032517675,0.00002595205,0.0001975835,0.00020504843],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000083348736,0.000082581966,0.7162829,0.000019799265,0.0000240061,0.000006128559,0.24777707,0.000006638416,0.00027032066,0.000029030278,0.004726367,0.030691808],"study_design_scores_gemma":[0.0002644169,0.0000865691,0.97114116,0.00003436761,0.0000045001166,2.7028184e-7,0.005561917,0.00002618763,0.000080656675,0.000010488494,0.02259652,0.00019292183],"about_ca_topic_score_codex":0.54808897,"about_ca_topic_score_gemma":0.62035215,"teacher_disagreement_score":0.2548583,"about_ca_system_score_codex":0.00075908937,"about_ca_system_score_gemma":0.00094038824,"threshold_uncertainty_score":0.999235},"labels":[],"label_agreement":null},{"id":"W2898181327","doi":"10.1016/j.jtrangeo.2018.10.008","title":"Urban population density and freeways in North America: A Re-assessment","year":2018,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Concordia University","keywords":"Metropolitan area; Geography; Census; Population density; Population; Per capita; Economic geography; Regional science; Demography; Sociology; Archaeology","score_opus":0.012797884764208897,"score_gpt":0.2809341501134482,"score_spread":0.2681362653492393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2898181327","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977948,0.00015406533,0.00041480843,0.00035295,0.00024735404,0.0001273773,0.0000070450315,0.000015659716,0.0008859384],"genre_scores_gemma":[0.9981956,0.00015065497,0.0012348437,0.00008856142,0.00030681648,0.0000012252464,0.000008704483,0.0000063744633,0.0000072120984],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985032,0.00007239559,0.00053595146,0.00017519422,0.0004638399,0.00024941063],"domain_scores_gemma":[0.9991786,0.000028894261,0.0003099144,0.000119689685,0.00019293546,0.00016995604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068950566,0.000111254565,0.0002928028,0.00030211263,0.00024156718,0.0000285782,0.00019173072,0.00007540448,0.000085894295],"category_scores_gemma":[0.00000980673,0.000098769146,0.00017436454,0.00077652495,0.00039233698,0.00048273345,0.0000041534695,0.00023966524,5.7902855e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058481928,0.00011475117,0.99432033,0.0000100733605,0.000022718374,0.000029898743,0.0036403555,0.000001985633,0.000015755064,0.00004008167,0.00005946056,0.001686083],"study_design_scores_gemma":[0.0003727225,0.000111034686,0.99574244,0.000027371208,0.00005199533,6.853536e-7,0.00064775255,0.0000042561687,0.000008240351,0.0005234991,0.0024001852,0.00010978895],"about_ca_topic_score_codex":0.0056181275,"about_ca_topic_score_gemma":0.09144605,"teacher_disagreement_score":0.085827924,"about_ca_system_score_codex":0.000039568527,"about_ca_system_score_gemma":0.000091907394,"threshold_uncertainty_score":0.9251327},"labels":[],"label_agreement":null},{"id":"W2898442174","doi":"10.1111/cag.12494","title":"Factors affecting mode choice for the home–elementary school journey: Evidence from Halifax, Canada","year":2018,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Neighbourhood (mathematics); Multinomial logistic regression; Nova scotia; Geography; School choice; Mode choice; Nested logit; Mode (computer interface); Travel behavior; Logistic regression; Psychology; Transport engineering; Engineering; Public transport; Mathematics; Computer science; Political science; Econometrics; Statistics","score_opus":0.029767288172905228,"score_gpt":0.2681911955600712,"score_spread":0.23842390738716598,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2898442174","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9849599,0.0046491222,0.000025231167,0.0041316655,0.0029698205,0.001086608,0.0015493617,0.000106801395,0.00052146247],"genre_scores_gemma":[0.9956872,0.00070034846,0.00010143877,0.0013063565,0.0016793745,0.000093439034,0.000137985,0.000051814255,0.00024208306],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9958945,0.00018167125,0.00053853274,0.0008098184,0.00059720577,0.0019782644],"domain_scores_gemma":[0.99432206,0.00210309,0.00024618098,0.00075539143,0.0005125258,0.0020607356],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0007123055,0.00049693615,0.000458172,0.00096347765,0.0059659653,0.00043954563,0.0015736298,0.00020388346,0.0006964724],"category_scores_gemma":[0.0009841193,0.00040666363,0.00038662268,0.0036663206,0.002833087,0.0008145228,0.000041646053,0.00037613945,0.00000254774],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017091355,0.0000079383035,0.95645225,0.000019728279,0.00023881263,0.000008425786,0.005306277,0.0000057669345,0.000008716597,0.0001990185,0.035639204,0.0020967722],"study_design_scores_gemma":[0.00022715736,0.000064836466,0.8070127,0.00011374907,0.00019190594,3.4745582e-7,0.056616012,0.000019715553,0.000057662684,0.0009314296,0.13415578,0.0006087426],"about_ca_topic_score_codex":0.9999371,"about_ca_topic_score_gemma":0.9999997,"teacher_disagreement_score":0.14943959,"about_ca_system_score_codex":0.0006377407,"about_ca_system_score_gemma":0.003256877,"threshold_uncertainty_score":0.9998806},"labels":[],"label_agreement":null},{"id":"W2898679229","doi":"10.1016/j.jamda.2018.09.007","title":"Neighborhood Walkability of Retirement Homes: A Cross-Sectional Cohort Study","year":2018,"lang":"en","type":"letter","venue":"Journal of the American Medical Directors Association","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute for Clinical Evaluative Sciences; University of Toronto; Women's College Hospital","funders":"","keywords":"Walkability; Aging in place; Gerontology; Medicine; Built environment; Call to action; Physical activity; Advertising; Business; Physical therapy","score_opus":0.016775293983886493,"score_gpt":0.3381138199410936,"score_spread":0.3213385259572071,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2898679229","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9116371,0.00004511722,0.000012853763,0.083799094,0.0029561862,0.00048432933,0.00003710989,0.000020351401,0.0010078357],"genre_scores_gemma":[0.9691848,0.000059379232,0.00001791084,0.022065286,0.007765299,0.000009655512,0.000010475266,0.000021961354,0.0008652231],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.988802,0.0021051764,0.0015858187,0.00034360666,0.0067284633,0.0004349402],"domain_scores_gemma":[0.99085265,0.0011080203,0.006067962,0.0003749193,0.0014098034,0.00018662526],"candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.010655566,0.00023920984,0.001028777,0.000131274,0.0003873521,0.00009568861,0.0013194119,0.00048494135,0.0009631575],"category_scores_gemma":[0.009169069,0.00016009696,0.00074160995,0.0008037694,0.0012082682,0.00019600535,0.00007790033,0.0019696148,0.0000044327535],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003622109,0.00033151786,0.8552514,0.000019602241,0.0004070197,0.000008485609,0.0007096305,2.4044652e-7,0.000002136091,8.483643e-7,0.14292876,0.00030412976],"study_design_scores_gemma":[0.00030986668,0.0002451595,0.9703445,0.00005702399,0.00022781127,5.3885776e-7,0.00016027332,0.0000019974445,0.0000063020475,0.00024120188,0.028254773,0.00015054694],"about_ca_topic_score_codex":0.006700666,"about_ca_topic_score_gemma":0.0011544314,"teacher_disagreement_score":0.11509311,"about_ca_system_score_codex":0.0022447219,"about_ca_system_score_gemma":0.0015222755,"threshold_uncertainty_score":0.9999501},"labels":[],"label_agreement":null},{"id":"W2898699853","doi":"10.1016/j.tra.2018.10.009","title":"“If I had a regular bicycle, I wouldn’t be out riding anymore”: Perspectives on the potential of e-bikes to support active living and independent mobility among older adults in Waterloo, Canada","year":2018,"lang":"en","type":"article","venue":"Transportation Research Part A Policy and Practice","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":87,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University; University of Waterloo","funders":"University of Waterloo; Royal Bank of Canada","keywords":"Context (archaeology); Promotion (chess); Cycling; Poison control; Gerontology; Population; Human factors and ergonomics; Injury prevention; Suicide prevention; Sustainable transport; Perception; Psychology; Transport engineering; Engineering; Environmental health; Medicine; Geography; Political science; Ecology","score_opus":0.04896950852636795,"score_gpt":0.3925653390528007,"score_spread":0.3435958305264328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2898699853","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9871805,0.00003276895,0.00002474467,0.0098117925,0.000051596206,0.0009133625,0.000090617235,0.000014057163,0.001880565],"genre_scores_gemma":[0.9989538,0.000109839726,0.00003758579,0.00022246008,0.00021093355,0.00007095901,0.000008716417,0.000010956712,0.00037471292],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9966108,0.0009705154,0.00035892476,0.00050201995,0.0010288759,0.0005288691],"domain_scores_gemma":[0.997093,0.001762397,0.00013677936,0.00023456811,0.0005241893,0.0002490341],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043611513,0.00014548196,0.00020913828,0.0002174934,0.0007152634,0.00009683722,0.00022370018,0.000117050586,0.00020257257],"category_scores_gemma":[0.002043874,0.000116993615,0.000038225815,0.0006115611,0.0009945388,0.0008154586,0.000016421081,0.0004825126,0.0000012731267],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019077861,0.00058787945,0.23326343,0.00012318841,0.00008379854,0.000046190788,0.7564216,0.000019354171,0.0003676894,0.003950193,0.00046861524,0.0027602436],"study_design_scores_gemma":[0.00025629607,0.00018270152,0.8130763,0.000112629605,0.000018604915,2.390931e-7,0.18416578,0.000018904944,0.0005438578,0.00016883767,0.0013376457,0.00011818296],"about_ca_topic_score_codex":0.8332107,"about_ca_topic_score_gemma":0.93609124,"teacher_disagreement_score":0.5798129,"about_ca_system_score_codex":0.00017875634,"about_ca_system_score_gemma":0.00095044164,"threshold_uncertainty_score":0.55013007},"labels":[],"label_agreement":null},{"id":"W2898811578","doi":"10.17645/up.v3i4.1645","title":"Automobile Commuting in Suburban High-Rise Condominium Apartments: Examining Transitions toward Suburban Sustainability in Toronto","year":2018,"lang":"en","type":"article","venue":"Urban Planning","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"Social Sciences and Humanities Research Council of Canada; University of Waterloo; York University; American Association of Geographers","keywords":"Downtown; Metropolitan area; Renting; Geography; Context (archaeology); Sustainability; Census; Population; Economic geography; Apartment; Economic growth; Business; Demographic economics; Economics; Sociology; Demography; Engineering; Civil engineering","score_opus":0.03142912070735596,"score_gpt":0.3332008862564051,"score_spread":0.3017717655490491,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2898811578","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97954035,0.0007867477,0.0001941246,0.00048627701,0.0004503516,0.00089432555,0.000032098225,0.00023540307,0.01738031],"genre_scores_gemma":[0.9985667,0.000005508227,0.00024376334,0.0001368421,0.00042023882,0.00011469078,0.0000647234,0.00003064385,0.00041689994],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99621606,0.00057250884,0.00087344076,0.0007308016,0.0004725298,0.0011346888],"domain_scores_gemma":[0.9985192,0.00038133728,0.00018600504,0.00046491704,0.00020140874,0.0002471638],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0025872008,0.00032054426,0.0005650113,0.00018761045,0.0006507298,0.00015940242,0.0005784964,0.0002681908,0.00075431634],"category_scores_gemma":[0.00034935953,0.00035510628,0.000098136,0.0006856111,0.0007876151,0.0011919491,0.00005740632,0.00044281775,0.000011797231],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013062946,0.0002559652,0.89240676,0.000048959457,0.000014106133,0.000068612295,0.10445013,0.000031134376,0.000075467055,0.0012539077,0.00073759304,0.00052675285],"study_design_scores_gemma":[0.0027973484,0.00023538926,0.89053214,0.0002844247,0.000040821196,9.004062e-7,0.09544884,0.0005515504,0.00029149634,0.0016104828,0.007483197,0.0007234265],"about_ca_topic_score_codex":0.049185134,"about_ca_topic_score_gemma":0.077212624,"teacher_disagreement_score":0.02802749,"about_ca_system_score_codex":0.0020292036,"about_ca_system_score_gemma":0.00046994086,"threshold_uncertainty_score":0.9998901},"labels":[],"label_agreement":null},{"id":"W2898886412","doi":"10.1016/j.landurbplan.2018.10.008","title":"From walking buffers to active places: An activity-based approach to measure human-scale urban form","year":2018,"lang":"en","type":"article","venue":"Landscape and Urban Planning","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"University of Toronto","keywords":"Scale (ratio); Population; Geography; Multidisciplinary approach; Urban planning; Measure (data warehouse); Exploratory research; Land use; Environmental planning; Computer science; Ecology; Cartography; Sociology; Data mining; Demography; Social science","score_opus":0.03721765994789423,"score_gpt":0.30712840112733275,"score_spread":0.26991074117943853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2898886412","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9589138,0.00005514886,0.0024044171,0.0001620036,0.00016356916,0.00040185574,0.000060574337,0.00016740627,0.037671242],"genre_scores_gemma":[0.99677855,4.656207e-7,0.0010103089,0.00038791474,0.0013451088,0.000033194756,0.00007337129,0.000024275669,0.0003468286],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980367,0.00011673163,0.00019474559,0.0006600292,0.0004379516,0.0005538722],"domain_scores_gemma":[0.9989468,0.00010070349,0.00008434254,0.00029317077,0.00009155389,0.00048341363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005090767,0.00023640614,0.00032008614,0.00013736515,0.0011143007,0.00024853824,0.00036018703,0.000178306,0.000081512546],"category_scores_gemma":[0.000033878954,0.00021425485,0.00006411278,0.00037817223,0.0001327899,0.0005854945,0.000037509188,0.00022074749,0.000011885332],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040198356,0.00015251052,0.8573543,0.000016204247,0.000033817225,0.000004462806,0.13410318,0.000013195615,0.0019897982,0.000055855344,0.0039637843,0.0019109183],"study_design_scores_gemma":[0.0020384223,0.0007954978,0.91027594,0.00032685054,0.0001670878,5.120819e-7,0.037712045,0.0008219723,0.0070710443,0.0005510611,0.038809057,0.0014305017],"about_ca_topic_score_codex":0.0013242807,"about_ca_topic_score_gemma":0.0017528539,"teacher_disagreement_score":0.096391134,"about_ca_system_score_codex":0.00006330004,"about_ca_system_score_gemma":0.00008690112,"threshold_uncertainty_score":0.8737059},"labels":[],"label_agreement":null},{"id":"W2898996063","doi":"10.1371/journal.pone.0206408","title":"Associations of perceived neighbourhood safety from traffic and crime with overweight/obesity among South African adults of low-socioeconomic status","year":2018,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Medical Research Council; University of Cape Town; McMaster University; National Research Foundation; Hamilton Health Sciences","keywords":"Overweight; Neighbourhood (mathematics); Walkability; Obesity; Socioeconomic status; Demography; Medicine; Environmental health; Poison control; Odds; Cross-sectional study; Gerontology; Logistic regression; Population; Physical activity; Physical therapy; Sociology","score_opus":0.01809896744256408,"score_gpt":0.2256024836296542,"score_spread":0.20750351618709012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2898996063","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952694,0.000038051607,0.000006843164,0.00005227123,0.000021187467,0.00028996816,0.00074145023,0.0000382238,0.0035425937],"genre_scores_gemma":[0.9993102,0.000023502309,0.0004118775,0.00001229555,0.00012341911,0.0000036163576,0.00004201507,0.000010637714,0.00006241386],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987088,0.0000953499,0.0003302167,0.00028258795,0.00031033138,0.00027275758],"domain_scores_gemma":[0.99898195,0.00013497635,0.00033606347,0.00018918468,0.00021434996,0.00014347798],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022402465,0.000113607435,0.0003936775,0.00004323068,0.0002664785,0.000022648392,0.00016235397,0.00010528883,0.0006890339],"category_scores_gemma":[0.00006516226,0.00010512611,0.000056155714,0.00012255834,0.0008325875,0.00026467504,0.000017482658,0.00010987722,0.00000641195],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010852856,0.0007641318,0.9347914,0.000025280242,0.0001602779,2.6232024e-7,0.0636842,6.3811706e-7,0.00030170177,0.00005982524,0.000002678967,0.00010109714],"study_design_scores_gemma":[0.0006568457,0.00012221435,0.9931084,0.00009401389,0.0001654425,2.8566356e-9,0.004886368,0.00006923684,0.0006138479,0.00015417197,0.0000016964062,0.00012775492],"about_ca_topic_score_codex":0.012855013,"about_ca_topic_score_gemma":0.028930314,"teacher_disagreement_score":0.058797833,"about_ca_system_score_codex":0.00010557622,"about_ca_system_score_gemma":0.00017581142,"threshold_uncertainty_score":0.99371845},"labels":[],"label_agreement":null},{"id":"W2899033749","doi":"10.1007/s42413-018-0005-1","title":"Community Well-Being in Neighbourhoods: Achieving Community and Open-Minded Space through Engagement in Neighbourhoods","year":2018,"lang":"en","type":"article","venue":"International Journal of Community Well-Being","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Space (punctuation); Neighbourhood (mathematics); Community engagement; Sociology; Environmental planning; Geography; Public relations; Political science; Computer science; Mathematics","score_opus":0.046014862298563164,"score_gpt":0.3695163427543432,"score_spread":0.32350148045578003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2899033749","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8423532,0.00007803213,0.00051180995,0.0039607016,0.00074330036,0.00032229797,0.0000035810478,0.000030486237,0.15199655],"genre_scores_gemma":[0.99675983,0.00026474762,0.0011368627,0.0012107524,0.0004188719,0.000006897303,0.000016532476,0.000034578487,0.00015090394],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9877061,0.009060273,0.0014129154,0.00017381088,0.0010286717,0.0006182013],"domain_scores_gemma":[0.9949207,0.0024817293,0.0008982817,0.0007816469,0.0006871229,0.0002305466],"candidate_categories":["metaepi_narrow","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.017800193,0.000365192,0.000723901,0.0005241239,0.003154198,0.00087595667,0.005364603,0.00024270592,0.0004963047],"category_scores_gemma":[0.0012966174,0.0003788669,0.00017883389,0.0006738175,0.0009814623,0.0029223845,0.0017255113,0.0065153344,0.000012027555],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040213196,0.0017595172,0.67693704,0.000051295498,0.00017257224,0.000054273718,0.29843614,0.00004740648,0.00046573378,0.015220192,0.00015694722,0.0062967427],"study_design_scores_gemma":[0.0037959623,0.0003972299,0.7723398,0.0013653393,0.00006078844,0.000021969301,0.08714887,0.000112159505,0.0013251209,0.12552132,0.0073463866,0.00056499883],"about_ca_topic_score_codex":0.09339577,"about_ca_topic_score_gemma":0.11038771,"teacher_disagreement_score":0.21128727,"about_ca_system_score_codex":0.00075848575,"about_ca_system_score_gemma":0.00037546514,"threshold_uncertainty_score":0.9998663},"labels":[],"label_agreement":null},{"id":"W2899146797","doi":"10.14288/1.0368659","title":"The Health Effects of Fixed-Guideway Transit Investment : A Review of Methods and Best Practice [report]","year":2018,"lang":"en","type":"review","venue":"cIRcle (University of British Columbia)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Investment (military); Transit (satellite); Business; Computer science; Transport engineering; Engineering; Political science; Public transport","score_opus":0.03520051872716868,"score_gpt":0.35451911407773995,"score_spread":0.3193185953505713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2899146797","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00054541085,0.9947207,0.00014635177,0.00022846926,0.00020087733,0.0016517502,0.00009201743,0.00001675715,0.0023976455],"genre_scores_gemma":[0.00013565627,0.99689525,0.0023367016,0.00007706921,0.000039195693,0.0000028595516,0.000021144864,0.000012973049,0.0004791724],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99645555,0.0016595105,0.0006807247,0.0004737421,0.0004481641,0.00028228326],"domain_scores_gemma":[0.9958716,0.0011213636,0.0018258814,0.00049513706,0.0004921368,0.0001938923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046268897,0.00009556728,0.0016280971,0.00003603071,0.0005474865,0.000045411794,0.0006050544,0.00019900007,0.000034576264],"category_scores_gemma":[0.0008583916,0.00020443727,0.00048073145,0.00059367577,0.0016955113,0.0003001607,0.00007750984,0.00022228672,0.0000013904147],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000020329155,0.00015128142,0.00005870033,0.09509535,0.00013753747,0.00004001257,0.00041899877,1.6736165e-9,8.502215e-8,0.0000062140653,0.0026121305,0.90147763],"study_design_scores_gemma":[0.00018307005,0.00021528767,0.0065250164,0.091820285,0.001312463,0.00002689096,0.0007117727,1.4320568e-7,4.712982e-8,0.00010371837,0.89891696,0.0001843145],"about_ca_topic_score_codex":0.22643892,"about_ca_topic_score_gemma":0.26829493,"teacher_disagreement_score":0.90129334,"about_ca_system_score_codex":0.000121904675,"about_ca_system_score_gemma":0.0014648304,"threshold_uncertainty_score":0.833671},"labels":[],"label_agreement":null},{"id":"W2899200536","doi":"10.1016/j.trpro.2018.10.067","title":"Workshop Synthesis: Household travel surveys in an era of evolving data needs for passenger travel demand","year":2018,"lang":"en","type":"article","venue":"Transportation research procedia","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Exploit; Travel behavior; Transport engineering; Quality (philosophy); On demand; Business; User needs; Travel survey; Travel time; Computer science; Environmental economics; Engineering; Economics; Computer security","score_opus":0.2406329027417036,"score_gpt":0.43372642389477,"score_spread":0.1930935211530664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2899200536","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9891696,0.00015501128,0.0077976794,0.0004950961,0.00009286065,0.001219907,0.0005154574,0.00006702966,0.00048736818],"genre_scores_gemma":[0.99787736,0.00007293539,0.0011429068,0.000015723957,0.00031814273,0.00017417854,0.00023748561,0.000039033657,0.0001222208],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9965548,0.0005865285,0.0006151214,0.0005578831,0.0009767251,0.0007089552],"domain_scores_gemma":[0.99735034,0.00096659304,0.00011573907,0.000525536,0.00080936815,0.00023241252],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01308446,0.00015351885,0.00032450905,0.00031899093,0.00040862703,0.00009181045,0.0010237856,0.00022358286,0.0002028091],"category_scores_gemma":[0.0007738548,0.0001516676,0.000060074013,0.0014680304,0.00081056845,0.0013786199,0.000007848045,0.00041593664,0.0000029960627],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019666682,0.0006345606,0.9303271,0.00042126517,0.000034828794,0.0000059018257,0.05325725,0.000008085577,0.0024878061,0.0014123187,0.00082029065,0.010393938],"study_design_scores_gemma":[0.00046067956,0.000078276564,0.98214674,0.00014240263,0.0000235151,2.021197e-8,0.013710432,0.00047581992,0.001900031,0.0007983364,0.00008651477,0.00017723646],"about_ca_topic_score_codex":0.0036785111,"about_ca_topic_score_gemma":0.17364562,"teacher_disagreement_score":0.1699671,"about_ca_system_score_codex":0.000054091237,"about_ca_system_score_gemma":0.00073751796,"threshold_uncertainty_score":0.8414332},"labels":[],"label_agreement":null},{"id":"W2899232820","doi":"10.1155/2018/1094812","title":"A Mixed Methods Study on the Barriers and Facilitators of Physical Activity Associated with Residential Relocation","year":2018,"lang":"en","type":"article","venue":"Journal of Environmental and Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Canadian Institutes of Health Research","keywords":"Walkability; Relocation; Neighbourhood (mathematics); Cycling; Physical activity; Transport engineering; Gerontology; Environmental health; Psychology; Medicine; Computer science; Mathematics; Geography; Physical therapy; Engineering","score_opus":0.046987900898577406,"score_gpt":0.36093753595890943,"score_spread":0.313949635060332,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2899232820","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967694,0.000030110219,0.00011233244,0.0027736062,0.000049684506,0.0001676954,0.000009796866,0.0000025492184,0.00008480888],"genre_scores_gemma":[0.99977547,0.00001749536,0.000049080412,0.00005994081,0.00007101941,0.0000013433075,3.7294942e-7,0.000002827926,0.000022448197],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99818754,0.0010377023,0.00017511506,0.00010224395,0.00035217908,0.00014520207],"domain_scores_gemma":[0.99915195,0.00024177988,0.00031331976,0.00006708032,0.000019365705,0.00020650268],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032988165,0.00006195936,0.00017694612,0.00003754412,0.0003998404,0.000028782852,0.00008372848,0.000027797438,0.000042890384],"category_scores_gemma":[0.00018847568,0.000036180278,0.00002966602,0.00009564329,0.0006394768,0.000247124,0.000013858466,0.00014686212,2.3593525e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014853664,0.00090418727,0.89895344,0.000007850211,0.00010269664,0.0000011548736,0.0526722,1.9435308e-7,0.0005831666,0.00020848926,0.00010076663,0.04631733],"study_design_scores_gemma":[0.00030041274,0.0013225604,0.970164,0.000010125701,0.000013126006,2.786644e-7,0.027639678,0.000006955882,0.00008875991,0.0001512487,0.00026594536,0.000036899753],"about_ca_topic_score_codex":0.000464239,"about_ca_topic_score_gemma":0.00057337317,"teacher_disagreement_score":0.071210586,"about_ca_system_score_codex":0.000097239405,"about_ca_system_score_gemma":0.00018007224,"threshold_uncertainty_score":0.30752897},"labels":[],"label_agreement":null},{"id":"W2899248822","doi":"10.1155/2018/3754205","title":"An Evaluation Method of Urban Public Transport Facilities Resource Supply Based on Accessibility","year":2018,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Public transport; Transport engineering; Resource (disambiguation); Service (business); Level of service; Business; Resource allocation; Environmental economics; Computer science; Engineering; Economics; Marketing","score_opus":0.04121171126129951,"score_gpt":0.3702420644867582,"score_spread":0.3290303532254587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2899248822","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9693831,0.00006971044,0.027492903,0.00043180434,0.00033449612,0.0004322124,0.000099266275,0.000036790614,0.0017196969],"genre_scores_gemma":[0.98806494,0.000009520466,0.011335128,0.00008137685,0.0003246815,0.000009615873,0.00011315893,0.000016188895,0.000045356155],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9959693,0.0005341387,0.0011975884,0.0003492376,0.0016357116,0.00031400644],"domain_scores_gemma":[0.9964635,0.00020508932,0.0009510174,0.00035343503,0.0017860198,0.00024094178],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0049550734,0.0001936057,0.00043115517,0.00029784717,0.000306154,0.00003649192,0.00047771813,0.00015932684,0.0005774252],"category_scores_gemma":[0.00017778862,0.0001750471,0.00026436843,0.00063023035,0.0004539688,0.001998883,7.0996145e-7,0.00025776282,9.128577e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022499536,0.0011109104,0.86058974,0.00015077685,0.000060825176,0.000008434582,0.047886677,0.009650715,0.0047611133,0.0011251867,0.000059382754,0.072346285],"study_design_scores_gemma":[0.001589281,0.00083493005,0.9780944,0.000091422786,0.00014447804,2.1906024e-7,0.007001582,0.00040284483,0.0054194015,0.0021367683,0.0040806565,0.00020401599],"about_ca_topic_score_codex":0.00021330662,"about_ca_topic_score_gemma":0.0037645581,"teacher_disagreement_score":0.117504664,"about_ca_system_score_codex":0.00016468271,"about_ca_system_score_gemma":0.00081644376,"threshold_uncertainty_score":0.71382135},"labels":[],"label_agreement":null},{"id":"W2899322199","doi":"10.17645/up.v3i4.1794","title":"Urban Planning and the Suburbs: Solutions for Sustainability from the Edges","year":2018,"lang":"en","type":"article","venue":"Urban Planning","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Sustainability; Corporate governance; Diversity (politics); Social sustainability; Urban planning; Urbanism; Urbanization; Urban policy; Environmental planning; Species evenness; Sociology; Geography; Business; Economic growth; Engineering; Civil engineering; Economics","score_opus":0.045309432841820305,"score_gpt":0.32203451217337326,"score_spread":0.27672507933155294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2899322199","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9667405,0.0069363215,0.005720143,0.009423001,0.0007123116,0.0013485443,0.00010088418,0.00020718247,0.0088111395],"genre_scores_gemma":[0.99650663,0.000004109115,0.00011267421,0.00040210935,0.0019240997,0.00006714209,0.000026205822,0.000012461938,0.0009445453],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982321,0.0002532471,0.00027160905,0.00037586913,0.00025374294,0.00061340915],"domain_scores_gemma":[0.99728,0.0019291912,0.00012270705,0.0003505491,0.00021704746,0.00010053149],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002394653,0.00015504881,0.00021436272,0.000027655362,0.0039342656,0.0002628016,0.00050418347,0.00011196343,0.000051591258],"category_scores_gemma":[0.0009934359,0.000093620685,0.00010442865,0.00022242333,0.0023692418,0.00027840227,0.000074326636,0.00022069852,0.000003441448],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015507141,0.000020218142,0.86446536,0.0000097582015,0.000033233104,0.0000014567606,0.08603154,0.0000044778662,0.000005092355,0.010757449,0.03800173,0.0005146258],"study_design_scores_gemma":[0.0015682721,0.00007421879,0.61994433,0.00009806608,0.00016991518,3.7373158e-7,0.052778207,0.0007074752,0.000064461,0.056019783,0.2681929,0.00038204083],"about_ca_topic_score_codex":0.003032284,"about_ca_topic_score_gemma":0.0008457907,"teacher_disagreement_score":0.24452104,"about_ca_system_score_codex":0.00008795714,"about_ca_system_score_gemma":0.00021358758,"threshold_uncertainty_score":0.9973625},"labels":[],"label_agreement":null},{"id":"W2899365498","doi":"10.1155/2018/1218041","title":"Urban Transformation in the Context of Rail Transport Development: The Case of a Newly Built Railway Line in Gdańsk (Poland)","year":2018,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Narodowym Centrum Nauki; Narodowe Centrum Nauki","keywords":"Transport engineering; Urban sprawl; Plan (archaeology); Context (archaeology); Public transport; Urban planning; Sustainable development; Port (circuit theory); Order (exchange); Transportation planning; Railway line; Computer science; Environmental planning; Business; Engineering; Civil engineering; Geography","score_opus":0.020153367068181095,"score_gpt":0.3052680206771663,"score_spread":0.2851146536089852,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2899365498","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956614,0.000245013,0.0024806815,0.00076192396,0.00016144822,0.0004104763,0.000019772831,0.0000050154226,0.0002542826],"genre_scores_gemma":[0.99901855,0.00010195128,0.00067362736,0.00006917821,0.00009515728,0.0000051816337,0.00001707499,0.000007540313,0.000011760787],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99767846,0.00014222426,0.0014176389,0.000117976655,0.0004365135,0.00020716524],"domain_scores_gemma":[0.9986173,0.000162076,0.00068661984,0.000126527,0.00035782746,0.00004962968],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020156093,0.00012727284,0.00033444917,0.0001853727,0.0001449695,0.000009398302,0.00032304687,0.000091680384,0.000034128396],"category_scores_gemma":[0.000035548255,0.000081590966,0.00013870533,0.000731861,0.00033790313,0.0008340154,5.392852e-7,0.00026520767,4.1681596e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001180799,0.00040292862,0.20676291,0.00013115007,0.000037167643,0.00013745796,0.7536175,0.0006709591,0.001527646,0.0020008334,0.000012343333,0.033518262],"study_design_scores_gemma":[0.0029200562,0.00023332023,0.9229025,0.00021502044,0.00006499794,0.0000095184,0.065744504,0.000020905649,0.0038930571,0.0010009832,0.002860322,0.0001348073],"about_ca_topic_score_codex":0.0016305819,"about_ca_topic_score_gemma":0.1808651,"teacher_disagreement_score":0.7161396,"about_ca_system_score_codex":0.00005165538,"about_ca_system_score_gemma":0.00033330408,"threshold_uncertainty_score":0.834082},"labels":[],"label_agreement":null},{"id":"W2899995290","doi":"10.11575/sppp.v11i0.58368","title":"Social Policy Trends: Monthly Rent Payments in the Twenty Largest Canadian Census Metropolitan Areas (2017)","year":2018,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economic rent; Census; Metropolitan area; Payment; Distribution (mathematics); Geography; Economics; Point (geometry); Demographic economics; Demography; Finance; Population; Market economy","score_opus":0.23570525262990039,"score_gpt":0.5511395415579402,"score_spread":0.3154342889280398,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2899995290","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8437028,0.0024722205,0.0000022253416,0.00539221,0.00064935675,0.00046018587,0.0003715864,0.000029856017,0.1469196],"genre_scores_gemma":[0.9959771,0.00060136686,0.000017488257,0.0008020721,0.0017068292,0.000032588858,0.000048242964,0.000028481554,0.0007858046],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99546355,0.0008442307,0.0008586718,0.0005258421,0.001219373,0.0010883539],"domain_scores_gemma":[0.9978127,0.000138481,0.00060455635,0.0004967093,0.00035103151,0.0005965084],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0033358436,0.00032268916,0.0006233207,0.0012509386,0.0017540121,0.0014883371,0.004475378,0.00019919864,0.006248001],"category_scores_gemma":[0.00037960027,0.00025275865,0.00025796844,0.0028395117,0.0008536746,0.0018830547,0.0002082048,0.0004925165,0.000018831515],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006935574,0.00027715706,0.9178061,0.000011803444,0.00007256002,0.000043042655,0.0037422823,9.120012e-7,0.00007050866,0.0016930139,0.06891936,0.007293884],"study_design_scores_gemma":[0.0003700046,0.000008619418,0.90303904,0.000056079192,0.000047115453,4.980626e-7,0.001834246,0.000004006905,0.00009362453,0.0083369315,0.08592363,0.00028622503],"about_ca_topic_score_codex":0.84546393,"about_ca_topic_score_gemma":0.80496204,"teacher_disagreement_score":0.15227436,"about_ca_system_score_codex":0.0014558543,"about_ca_system_score_gemma":0.0011137078,"threshold_uncertainty_score":0.9999925},"labels":[],"label_agreement":null},{"id":"W2900308101","doi":"10.24095/hpcdp.38.11.03f","title":"Promotion de l’activité physique en milieu rural ou éloigné et dans les régions du Nord : un appel pancanadien à l’action","year":2018,"lang":"fr","type":"article","venue":"Promotion de la santé et prévention des maladies chroniques au Canada","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Western University; University of Toronto; University of Guelph; University of Manitoba; Alberta Health; University of Alberta","funders":"Health Canada; Partenariat Canadien Contre Le Cancer","keywords":"Humanities; Political science; Philosophy","score_opus":0.02441384624875132,"score_gpt":0.3064040222875561,"score_spread":0.2819901760388048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2900308101","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9494109,0.00067967956,0.018396128,0.0077747074,0.0010199934,0.00092966337,0.00015757061,0.0002464331,0.021384891],"genre_scores_gemma":[0.98285,0.0028515237,0.0014637627,0.00017002795,0.0012267691,0.00020912642,0.00021027897,0.000070937655,0.010947577],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9934301,0.0032920875,0.00071519054,0.00071101065,0.00062582706,0.00122579],"domain_scores_gemma":[0.99789923,0.00029111997,0.00054218795,0.00038339294,0.0004051069,0.00047894553],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0023988718,0.0005437769,0.0004662152,0.0001466662,0.0015438541,0.0002807719,0.00045022144,0.00050674484,0.003906408],"category_scores_gemma":[0.00025695364,0.0006101782,0.00029961875,0.0006768616,0.0020962402,0.0020213805,0.00007639045,0.00069368235,0.000010001233],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012385631,0.0016989341,0.8063847,0.001782745,0.00034820655,0.000091393726,0.03902683,0.0001314251,0.00375799,0.010404834,0.0045029954,0.13174611],"study_design_scores_gemma":[0.0006294821,0.00053640286,0.94618005,0.0012651744,0.00027343864,0.000060173727,0.006641255,0.0012163339,0.013301399,0.009660825,0.019457942,0.00077754154],"about_ca_topic_score_codex":0.75389254,"about_ca_topic_score_gemma":0.9986522,"teacher_disagreement_score":0.24475971,"about_ca_system_score_codex":0.007218351,"about_ca_system_score_gemma":0.003758269,"threshold_uncertainty_score":0.999756},"labels":[],"label_agreement":null},{"id":"W2900344724","doi":"","title":"An examination of child pedestrian safety: Crossing behaviors, road environment, and rule compliance near parks in Montreal, Canada","year":2018,"lang":"en","type":"article","venue":"EspaceINRS Institutional Digital Repository (Institut National de la Recherche Scientifique)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Pedestrian; Compliance (psychology); Poison control; Occupational safety and health; Safety behaviors; Signage; Psychology; Injury prevention; Human factors and ergonomics; Applied psychology; Situational ethics; Transport engineering; Suicide prevention; Geography; Environmental health; Social psychology; Engineering; Business; Medicine; Advertising","score_opus":0.053386448019183914,"score_gpt":0.3237049903646519,"score_spread":0.270318542345468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2900344724","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84443986,0.00015262136,0.000948791,0.00025633993,0.00026459823,0.0003062943,0.00012267313,0.00003072218,0.15347807],"genre_scores_gemma":[0.9970274,0.000024571184,0.0012883409,0.00005102109,0.00016088189,0.000018150913,0.00009629455,0.000008323905,0.001325019],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99712545,0.00060303975,0.0004490548,0.0005215662,0.0009837918,0.0003171146],"domain_scores_gemma":[0.99875927,0.00031903503,0.00019404967,0.000185575,0.00030973696,0.0002323572],"candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0029159705,0.00017720155,0.00019279585,0.00012926725,0.0016903218,0.0007173262,0.00032646573,0.00028666313,0.000031712556],"category_scores_gemma":[0.0010670628,0.00019366336,0.000054157703,0.00047173665,0.004496944,0.0016852762,0.00003947191,0.00037366425,0.0000026867951],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035197963,0.0017144069,0.85326904,0.00018675622,0.00006827705,0.00013590617,0.011990952,0.003990564,0.006407486,0.026145525,0.00047112358,0.09526795],"study_design_scores_gemma":[0.0004311901,0.000022293021,0.9803047,0.0001734606,0.000010862459,0.00001086551,0.0002371539,0.0010692353,0.0011311795,0.0013906196,0.014986909,0.00023152732],"about_ca_topic_score_codex":0.1254835,"about_ca_topic_score_gemma":0.35505217,"teacher_disagreement_score":0.22956868,"about_ca_system_score_codex":0.0019262027,"about_ca_system_score_gemma":0.005181426,"threshold_uncertainty_score":0.99960935},"labels":[],"label_agreement":null},{"id":"W2900555130","doi":"10.1007/s00779-018-1187-5","title":"Estimating pro-environmental potential for the development of mobility-based informational intervention: a data-driven algorithm","year":2018,"lang":"en","type":"article","venue":"Personal and Ubiquitous Computing","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Acadia University","funders":"","keywords":"TRIPS architecture; Travel behavior; Constraint (computer-aided design); Public transport; Variety (cybernetics); Perception; Computer science; Intervention (counseling); Transport engineering; Environmental economics; Economics; Psychology; Engineering","score_opus":0.03713423365915176,"score_gpt":0.3164704435692996,"score_spread":0.27933620991014785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2900555130","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6442351,0.00004177928,0.35497677,0.00014609529,0.00019643681,0.0002777097,0.000048798396,0.000019695573,0.000057647485],"genre_scores_gemma":[0.8885253,2.8666582e-7,0.11081973,0.0000373147,0.00050341274,0.000007306821,0.00008794329,0.000003563739,0.000015159283],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989897,0.000032795942,0.00032554922,0.00019121355,0.00028019556,0.00018053055],"domain_scores_gemma":[0.9995195,0.00013222086,0.0001544764,0.000095401774,0.000053908752,0.000044449174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010066064,0.000079490266,0.00010488689,0.00002222098,0.0011708782,0.00005979357,0.00026978925,0.000035331384,0.00005625207],"category_scores_gemma":[0.000026686268,0.00006121517,0.000050619787,0.000059614777,0.00042166034,0.00020287708,0.00010197836,0.00006587969,0.0000014378716],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008457909,0.0003929697,0.040474456,0.00026976003,0.000113227645,5.4592067e-7,0.05732982,0.0005656355,0.000109434746,0.00011126854,0.00011831946,0.90042996],"study_design_scores_gemma":[0.00037265764,0.000043525783,0.04211983,0.00005045166,0.000024241537,4.0987965e-7,0.0034405063,0.9527875,0.000060703984,0.00008430866,0.0009235474,0.00009228735],"about_ca_topic_score_codex":0.0000853618,"about_ca_topic_score_gemma":0.00014565302,"teacher_disagreement_score":0.9522219,"about_ca_system_score_codex":0.000035641886,"about_ca_system_score_gemma":0.00013800208,"threshold_uncertainty_score":0.9005567},"labels":[],"label_agreement":null},{"id":"W2901189550","doi":"10.5198/jtlu.2018.1257","title":"The case for microsimulation frameworks for integrated urban models","year":2018,"lang":"en","type":"article","venue":"Journal of Transport and Land Use","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Microsimulation; Computer science; Tracing; Strengths and weaknesses; Adaptation (eye); Operations research; Transport engineering; Engineering","score_opus":0.03826526332877966,"score_gpt":0.3184315869325066,"score_spread":0.28016632360372695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901189550","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9423052,0.0002758229,0.05617116,0.0005751163,0.0003112919,0.0002636013,0.00004317669,0.000007837508,0.0000467706],"genre_scores_gemma":[0.99753404,0.00007788614,0.0014937246,0.00007832588,0.00055099337,0.000003848189,0.0000066818648,0.0000067961496,0.00024769426],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993275,0.00001946247,0.0003073229,0.000085590196,0.00009345612,0.00016667525],"domain_scores_gemma":[0.99899745,0.00027611732,0.00015529685,0.000064743166,0.0004165873,0.000089811954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007670681,0.000070557646,0.00014116654,0.000029669063,0.0007082477,0.00009813446,0.0001001086,0.00014466261,0.000008704399],"category_scores_gemma":[0.00004030378,0.000041301177,0.000121112935,0.00007611161,0.00019687405,0.00045521156,0.0000010833535,0.00014753251,6.4721824e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0029097297,0.00016656633,0.9533715,0.00006151538,0.00015542137,0.00007213521,0.021600114,0.00012642377,0.0000863546,0.0050338986,0.0029207997,0.013495517],"study_design_scores_gemma":[0.007954924,0.0015566468,0.19460595,0.00034777768,0.001105148,0.000070556634,0.0063792504,0.015719218,0.00047258343,0.087507695,0.6834523,0.0008279609],"about_ca_topic_score_codex":0.00045932946,"about_ca_topic_score_gemma":0.009715118,"teacher_disagreement_score":0.7587656,"about_ca_system_score_codex":0.000014917168,"about_ca_system_score_gemma":0.000088945955,"threshold_uncertainty_score":0.54473406},"labels":[],"label_agreement":null},{"id":"W2901215701","doi":"10.1016/j.jtrangeo.2018.11.009","title":"Freedom from the station: Spatial equity in access to dockless bike share","year":2018,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":187,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"British Columbia Centre of Excellence for Women's Health; Simon Fraser University; University of British Columbia","funders":"JPB Foundation; National Institute of Child Health and Human Development; Eunice Kennedy Shriver National Institute of Child Health and Human Development; Drexel University; U.S. National Library of Medicine; University of Washington; U.S. Department of Transportation","keywords":"Equity (law); Destinations; Descriptive statistics; Transport engineering; Bike sharing; American Community Survey; Geography; Business; Medicine; Environmental health; Engineering; Statistics; Population; Census; Political science; Mathematics","score_opus":0.045536220423426754,"score_gpt":0.3612072994448199,"score_spread":0.31567107902139313,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901215701","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9895641,0.00021112451,0.002536223,0.0038649936,0.0011140082,0.00028917586,0.00020942817,0.000019995758,0.0021909026],"genre_scores_gemma":[0.99721503,0.000060434904,0.00041409928,0.00058235414,0.0016805338,0.000005223974,0.000019859366,0.000010141111,0.000012328241],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975711,0.00011478108,0.00079562934,0.00023455477,0.0009057735,0.00037814878],"domain_scores_gemma":[0.99860007,0.00012912002,0.00034708888,0.0002376114,0.00044492274,0.00024120125],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014612507,0.00015270461,0.00031535464,0.00023501774,0.00039055652,0.00016657451,0.0014235787,0.00011040323,0.0013951086],"category_scores_gemma":[0.000042787393,0.00010862296,0.00030446355,0.0011161055,0.00046135162,0.0008811308,0.000026597623,0.00033193096,0.0000069356183],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020145402,0.000116655785,0.9859156,0.000006385517,0.00003904103,0.000030220852,0.0071148807,0.000026087082,0.0000284109,0.00004213618,0.00079769385,0.0056814314],"study_design_scores_gemma":[0.0004973366,0.000089784204,0.9763795,0.0000991296,0.000055536915,2.5646347e-7,0.0007694139,0.0000028027628,0.00008230768,0.0024075804,0.01947662,0.00013972109],"about_ca_topic_score_codex":0.034491327,"about_ca_topic_score_gemma":0.27337378,"teacher_disagreement_score":0.23888245,"about_ca_system_score_codex":0.00004733395,"about_ca_system_score_gemma":0.00028318155,"threshold_uncertainty_score":0.99951774},"labels":[],"label_agreement":null},{"id":"W2901350486","doi":"10.1123/jmpb.2018-0016","title":"Using Accelerometer/GPS Data to Validate a Neighborhood-Adapted Version of the International Physical Activity Questionnaire (IPAQ)","year":2018,"lang":"en","type":"article","venue":"Journal for the Measurement of Physical Behaviour","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"Canadian Institutes of Health Research","keywords":"Accelerometer; Global Positioning System; Physical activity; Computer science; Physical medicine and rehabilitation; Medicine; Telecommunications","score_opus":0.2540088819087702,"score_gpt":0.4115239346620454,"score_spread":0.1575150527532752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901350486","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99361414,0.0000115086195,0.0035020104,0.0012644897,0.0009954403,0.0003925235,0.00008959137,0.000010083723,0.0001202014],"genre_scores_gemma":[0.9989574,0.0000012580665,0.00014734178,0.00002527698,0.00083095906,0.0000039407414,0.0000021082724,0.000010012961,0.000021720729],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99758804,0.00011532428,0.00023196753,0.00022065834,0.0016221981,0.00022182296],"domain_scores_gemma":[0.99820876,0.00007847757,0.0003533829,0.0004512824,0.00081945065,0.00008861824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015551884,0.00012342325,0.0002240574,0.000043036427,0.0006659765,0.00007444947,0.0016481677,0.000038846505,0.00002700389],"category_scores_gemma":[0.0003009247,0.0000725531,0.00025683557,0.0002813731,0.00028407478,0.0004894896,0.00019389958,0.00021917472,0.0000019679046],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015482861,0.005318915,0.19848566,0.000056930945,0.0005242924,0.0000014810726,0.010942443,0.00017617433,0.7471269,0.0019343531,0.0016788513,0.03220571],"study_design_scores_gemma":[0.0014754672,0.00055236573,0.83719265,0.0005301288,0.0010699745,0.0000011031199,0.00094619946,0.009786899,0.1418414,0.004224138,0.0020144111,0.00036529408],"about_ca_topic_score_codex":0.00049400906,"about_ca_topic_score_gemma":0.00023772626,"teacher_disagreement_score":0.638707,"about_ca_system_score_codex":0.00020084059,"about_ca_system_score_gemma":0.00023940018,"threshold_uncertainty_score":0.512222},"labels":[],"label_agreement":null},{"id":"W2901471155","doi":"10.7202/1058685ar","title":"Sur le chemin de l’école : perceptions de parents et d’enfants du primaire face au risque routier lors de la mise en place d’un Trottibus au Québec","year":2019,"lang":"fr","type":"article","venue":"Enfances Familles Générations","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Humanities; Political science; Psychology; Art","score_opus":0.008879238910999489,"score_gpt":0.2792164684060303,"score_spread":0.2703372294950308,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901471155","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93913263,0.00087346137,0.0014920279,0.006152308,0.0005727277,0.00067264616,0.00027184174,0.00013618669,0.050696187],"genre_scores_gemma":[0.9767362,0.0005314305,0.0008815747,0.0004028275,0.00048029146,0.0001651387,0.00009599882,0.000046365207,0.020660195],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99635965,0.0009308182,0.00055435294,0.0006612969,0.0004422883,0.0010516217],"domain_scores_gemma":[0.9980093,0.0007332238,0.00024901182,0.0004648128,0.00013017647,0.0004134618],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0014517216,0.0003885338,0.0004472488,0.00008626932,0.0013979188,0.00021391177,0.000709207,0.0004967659,0.00053752644],"category_scores_gemma":[0.00026818493,0.00043913577,0.00029647234,0.000579752,0.001051703,0.0011115012,0.00007338368,0.0005777544,0.0001572203],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031158317,0.0005630777,0.8342592,0.00007049589,0.000073215706,0.000007693977,0.15538684,0.004169304,0.0006682103,0.0023883646,0.0006135006,0.0017689393],"study_design_scores_gemma":[0.0010240222,0.000053311334,0.91054285,0.00016720414,0.00014035444,0.0000053891495,0.06393943,0.0029060466,0.00049262296,0.0011624432,0.018977841,0.0005885014],"about_ca_topic_score_codex":0.36389714,"about_ca_topic_score_gemma":0.46411756,"teacher_disagreement_score":0.10022043,"about_ca_system_score_codex":0.0025001853,"about_ca_system_score_gemma":0.0100532165,"threshold_uncertainty_score":0.9999021},"labels":[],"label_agreement":null},{"id":"W2901569936","doi":"10.1155/2018/6518329","title":"Passenger Mobility in a Discontinuous Space: Modelling Access/Egress to Maritime Barrier in a Case Study","year":2018,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"European Regional Development Fund; Regione Calabria; Università degli Studi Mediterranea di Reggio Calabria","keywords":"Discontinuity (linguistics); Transit (satellite); Space (punctuation); Mode (computer interface); Transport engineering; Work (physics); Computer science; Public transport; Mode choice; Sample (material); Transportation planning; Quality (philosophy); Operations research; Engineering; Mathematics; Physics","score_opus":0.027726517897989276,"score_gpt":0.3522360343951004,"score_spread":0.3245095164971111,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901569936","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99483454,0.0000644158,0.0037336366,0.00026936378,0.00029331847,0.00068219105,0.000011327377,0.000013291033,0.00009792964],"genre_scores_gemma":[0.9977595,0.000016163314,0.0019397516,0.000032704556,0.0001775589,0.000019022093,0.00000219301,0.000012502825,0.000040555435],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978326,0.00015008384,0.0009587867,0.00028249665,0.00045895574,0.000317075],"domain_scores_gemma":[0.9989335,0.00008762728,0.0003090273,0.00015407521,0.00033198003,0.00018377685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014451032,0.00014405083,0.00036430664,0.00029207143,0.00014272473,0.00007186792,0.00025681284,0.00008052453,0.000087745844],"category_scores_gemma":[0.0000646343,0.00013399012,0.000092213224,0.0008011312,0.00011375569,0.0017129142,0.0000037092964,0.0003032131,0.0000012207561],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046123762,0.000747598,0.89102054,0.00001831497,0.000011759523,0.0019743128,0.081702396,0.021388076,0.00011404359,0.00002610437,0.0000032417938,0.0025324014],"study_design_scores_gemma":[0.0015552662,0.00027534194,0.96295625,0.00011589413,0.00003554934,0.0000055382707,0.033441078,0.00014730358,0.00009680538,0.00096060656,0.00021527347,0.00019509437],"about_ca_topic_score_codex":0.0073416815,"about_ca_topic_score_gemma":0.34423906,"teacher_disagreement_score":0.3368974,"about_ca_system_score_codex":0.00016691828,"about_ca_system_score_gemma":0.00020367847,"threshold_uncertainty_score":0.99926853},"labels":[],"label_agreement":null},{"id":"W2901713292","doi":"","title":"The decline in car use. A long-lasting effect? French and Canadian young adults' relationship with mobility","year":2017,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Young adult; Order (exchange); Demography; Psychology; Sociology; Developmental psychology; Business","score_opus":0.02194879130744738,"score_gpt":0.28703507320435917,"score_spread":0.2650862818969118,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901713292","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9906675,0.000061394036,0.000028464867,0.0011906376,0.000078525234,0.00034140443,0.0000041661337,0.000019898944,0.00760797],"genre_scores_gemma":[0.99908066,0.000005304518,0.00007834952,0.000027214515,0.00004863389,0.000015418525,0.0000024201008,0.0000039580245,0.00073801586],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990719,0.000106999425,0.00014520314,0.00022078407,0.00016498782,0.00029013283],"domain_scores_gemma":[0.9988667,0.0005266361,0.00006446996,0.00031216227,0.00005958249,0.00017047665],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0013357182,0.000077160774,0.00009939005,0.000026469275,0.0024069725,0.0004254384,0.0002617738,0.00007151785,0.000022719649],"category_scores_gemma":[0.00108132,0.00004714417,0.000018801407,0.00009442561,0.0004992571,0.0004960004,0.000019543755,0.0001655737,0.0000019202262],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012923718,0.0000066061903,0.9971217,0.0000067672972,0.0000023552177,0.000005089057,0.0015376103,0.000001174858,2.5928878e-7,0.00029274894,0.00001382661,0.0009989687],"study_design_scores_gemma":[0.00025797397,0.000019411547,0.99869555,0.000031165455,0.000006842506,1.6507487e-7,0.00029587108,0.0000891087,0.0000034426848,0.0003004881,0.0002269637,0.00007300913],"about_ca_topic_score_codex":0.96004534,"about_ca_topic_score_gemma":0.9997311,"teacher_disagreement_score":0.039685834,"about_ca_system_score_codex":0.00009186191,"about_ca_system_score_gemma":0.00024086879,"threshold_uncertainty_score":0.9988918},"labels":[],"label_agreement":null},{"id":"W2901869907","doi":"10.1016/j.pmedr.2018.11.010","title":"Objectively measured crime and active transportation among 10–13 year olds","year":2018,"lang":"en","type":"article","venue":"Preventive Medicine Reports","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Queen's University","funders":"Canada Research Chairs; Heart and Stroke Foundation of Canada","keywords":"Demography; Psychology; Environmental health; Medicine; Sociology","score_opus":0.023005748918237954,"score_gpt":0.3158260763951173,"score_spread":0.2928203274768793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901869907","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9433436,0.00018118284,0.0005022293,0.0002011856,0.00042032922,0.0005165371,0.000005674066,0.00008989498,0.054739386],"genre_scores_gemma":[0.9943052,0.000023064022,0.000058693917,0.000026138472,0.00062064285,0.000025570476,0.000024410734,0.0000138394325,0.0049024355],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99806845,0.00016043171,0.0004166019,0.00048320447,0.00058891426,0.0002824204],"domain_scores_gemma":[0.99877334,0.00006588449,0.00032673526,0.0001937363,0.00045156118,0.00018877607],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012298565,0.00015720111,0.0002972094,0.000087443215,0.00036826203,0.00001880674,0.000089365654,0.00011032766,0.001255581],"category_scores_gemma":[0.00036169315,0.00013300973,0.00006918044,0.00031574373,0.0014604592,0.0004420579,0.0000070810092,0.00013310324,0.000006499716],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007436384,0.00007478507,0.9659738,0.000023878503,0.000071990056,0.00007413649,0.027433319,6.980164e-8,0.00042843973,0.00018785257,0.0005875901,0.0050697904],"study_design_scores_gemma":[0.000297734,0.00012024553,0.98691636,0.00010868721,0.00012984517,0.0000011761556,0.0032835538,0.0000014646624,0.0014129957,0.0050247656,0.0025560714,0.00014711446],"about_ca_topic_score_codex":0.0061183013,"about_ca_topic_score_gemma":0.010049229,"teacher_disagreement_score":0.050961625,"about_ca_system_score_codex":0.00006795121,"about_ca_system_score_gemma":0.00016175838,"threshold_uncertainty_score":0.9996574},"labels":[],"label_agreement":null},{"id":"W2901926717","doi":"10.1016/j.jth.2018.10.012","title":"Modelling the association between health indicators and commute mode choice: a cross-sectional study in southern Sweden","year":2018,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":40,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Faculty of Arts and Sciences","keywords":"Public health; Multinomial logistic regression; Psychological intervention; Mode choice; Environmental health; Public transport; Built environment; Cross-sectional study; Geography; Psychology; Business; Transport engineering; Medicine; Engineering; Computer science","score_opus":0.06634645061596788,"score_gpt":0.4037308883079001,"score_spread":0.3373844376919322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901926717","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945198,0.00030485517,0.0011191458,0.0032040873,0.00023086317,0.00044933317,0.000049577764,0.000015907,0.00010640319],"genre_scores_gemma":[0.99852526,0.0001146209,0.00012693483,0.00028159568,0.0008474628,0.0000029914927,0.000006235178,0.000011870013,0.00008303875],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9967656,0.00043579566,0.0012117217,0.0001983376,0.0009439659,0.0004445672],"domain_scores_gemma":[0.99807334,0.00019454073,0.0011484937,0.00013248237,0.00017233168,0.0002788345],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008793176,0.00012436479,0.00043191094,0.00018652655,0.001107324,0.00007709775,0.00035875596,0.00011368121,0.000028893723],"category_scores_gemma":[0.000025463984,0.00009360378,0.00010506208,0.00047001446,0.0002034676,0.00036121698,0.0000066839184,0.00066288846,0.0000017130366],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040810985,0.00016146929,0.9385569,0.000019132567,0.000043357908,0.000001211994,0.060267597,0.0003211518,1.5097264e-7,0.000019222189,0.00001544398,0.0005535505],"study_design_scores_gemma":[0.00074151444,0.0002668738,0.99405414,0.000035480003,0.000017575614,3.419044e-7,0.0035699608,0.00009932763,3.2621102e-7,0.00040756338,0.000728503,0.00007836804],"about_ca_topic_score_codex":0.06547573,"about_ca_topic_score_gemma":0.09671429,"teacher_disagreement_score":0.056697637,"about_ca_system_score_codex":0.0006377414,"about_ca_system_score_gemma":0.0013496464,"threshold_uncertainty_score":0.9407473},"labels":[],"label_agreement":null},{"id":"W2902012242","doi":"10.5198/jtlu.2018.1329","title":"Solutions to cultural, organizational, and technical challenges in developing PECAS models for the cities of Shanghai, Wuhan, and Guangzhou","year":2018,"lang":"en","type":"article","venue":"Journal of Transport and Land Use","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Wuhan University of Technology; Wuhan University; National Natural Science Foundation of China","keywords":"Urbanization; Mainland China; Context (archaeology); Business; China; Developing country; Land use; Urban planning; Car ownership; Mainland; Transport engineering; Transportation planning; Environmental planning; Economic growth; Regional science; Public transport; Civil engineering; Geography; Engineering; Economics","score_opus":0.13636646699543198,"score_gpt":0.33010942291274725,"score_spread":0.19374295591731527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2902012242","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98877853,0.003632634,0.0022688631,0.005021899,0.000049176248,0.00014285435,0.000013182504,0.00000479727,0.00008803259],"genre_scores_gemma":[0.9923812,0.006169747,0.0012241144,0.000061745806,0.00012224793,0.0000022263137,0.0000012445753,0.000003827428,0.000033644897],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99941194,0.000014058719,0.00024161677,0.000086344524,0.00012910225,0.00011695615],"domain_scores_gemma":[0.99950397,0.00010897634,0.00007504441,0.000038843486,0.00021438512,0.000058771402],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047292892,0.00005907788,0.00015343286,0.00005639592,0.00023208703,0.000027961381,0.00007938264,0.000054406788,0.000007279621],"category_scores_gemma":[0.000032053224,0.000036450238,0.000025899162,0.000110832014,0.00024528577,0.0003536273,0.0000064687138,0.000058581318,2.7116728e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016200155,0.000055483768,0.9533388,0.00009889294,0.000042115713,0.000003737796,0.028001627,0.000015387814,0.0001261688,0.016996596,0.00018355434,0.0009756055],"study_design_scores_gemma":[0.00045002956,0.000098873184,0.98591775,0.00013698575,0.00005824838,0.000005809304,0.0031649075,0.000034271132,0.000040775358,0.0047521098,0.0052446104,0.00009562368],"about_ca_topic_score_codex":0.00023791568,"about_ca_topic_score_gemma":0.015478383,"teacher_disagreement_score":0.032578927,"about_ca_system_score_codex":0.000011053855,"about_ca_system_score_gemma":0.00007446266,"threshold_uncertainty_score":0.8637301},"labels":[],"label_agreement":null},{"id":"W2902195882","doi":"10.1186/s12889-018-6246-3","title":"Who is in the near market for bicycle sharing? Identifying current, potential, and unlikely users of a public bicycle share program in Vancouver, Canada","year":2018,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"British Columbia Centre of Excellence for Women's Health; University of British Columbia; Vancouver Coastal Health; Memorial University of Newfoundland; Providence Health Care; Simon Fraser University","funders":"City of Vancouver; Canadian Institutes of Health Research","keywords":"Public health; Public transport; Market share; Descriptive statistics; Population; Biostatistics; Poison control; Logistic regression; Environmental health; Medicine; Business; Marketing; Transport engineering; Engineering","score_opus":0.09341623797653709,"score_gpt":0.37861590030529046,"score_spread":0.2851996623287534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2902195882","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99072057,0.0005631298,0.00018580166,0.005598294,0.0005728342,0.0015007991,0.00013092389,0.000037959988,0.000689661],"genre_scores_gemma":[0.9986171,0.00005377958,0.0004038908,0.0005138885,0.00013507491,0.00010908141,0.000020650354,0.000012920989,0.00013357728],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973343,0.00030440267,0.00052061514,0.0004556376,0.00051689864,0.00086816575],"domain_scores_gemma":[0.9988766,0.00012110694,0.00024454057,0.00030552113,0.00017419335,0.00027807913],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042396383,0.0001369023,0.00028499006,0.00015871755,0.00057067536,0.00039345495,0.0006647291,0.00007654652,0.00016011148],"category_scores_gemma":[0.00036025097,0.00011572301,0.00005936506,0.0012259198,0.00034467448,0.000802216,0.00006372471,0.00018915409,4.2772976e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000114428285,0.00016952051,0.951017,0.00029784214,0.0000045539605,6.0986446e-7,0.0054266015,1.5374498e-7,2.4620783e-7,0.00015996082,0.020198852,0.02271317],"study_design_scores_gemma":[0.00054778147,0.000056440163,0.86520916,0.00007748293,0.0000033839312,1.0925464e-7,0.005145007,0.0011760135,7.5892444e-7,0.0005812456,0.12706904,0.00013356666],"about_ca_topic_score_codex":0.65627146,"about_ca_topic_score_gemma":0.99297744,"teacher_disagreement_score":0.336706,"about_ca_system_score_codex":0.0003419025,"about_ca_system_score_gemma":0.0050770934,"threshold_uncertainty_score":0.9006546},"labels":[],"label_agreement":null},{"id":"W2902484999","doi":"10.1123/japa.2018-0137","title":"Men on the Move: A Randomized Controlled Feasibility Trial of a Scalable, Choice-Based, Physical Activity and Active Transportation Intervention for Older Men","year":2018,"lang":"en","type":"article","venue":"Journal of Aging and Physical Activity","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Canadian Institutes of Health Research; Michael Smith Health Research BC","keywords":"Physical activity; Randomized controlled trial; Physical therapy; Intervention (counseling); Recreation; Gerontology; Medicine; Psychology; Nursing","score_opus":0.025814042251280058,"score_gpt":0.3472679584969743,"score_spread":0.32145391624569425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2902484999","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99481976,0.000009956205,0.001465588,0.0014091532,0.000097612574,0.0017162781,0.000026432741,0.000009929313,0.00044531564],"genre_scores_gemma":[0.9991604,0.0000056464564,0.000023231476,0.000013521893,0.00070039585,0.000044940432,0.0000010451206,0.0000070102997,0.000043820815],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.9980314,0.0008312327,0.0002867416,0.00022907408,0.00043641144,0.00018517405],"domain_scores_gemma":[0.9951676,0.0035445045,0.0007841693,0.00011542371,0.00028636074,0.000101941754],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024669142,0.00016096738,0.0010524545,0.0000502251,0.00032394938,0.000062635125,0.00012126926,0.00006368685,0.0000090500735],"category_scores_gemma":[0.00054789585,0.00009368921,0.00064834225,0.00014212156,0.0007563414,0.00048463195,0.000006016164,0.00027270205,1.2477587e-7],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.9331116,0.007018464,0.0023884266,0.000116678675,0.0004467316,6.551038e-7,0.009438563,0.0000071531276,0.0030755291,0.0007989352,0.00004074429,0.043556508],"study_design_scores_gemma":[0.712191,0.0017158341,0.23765188,0.00025347024,0.0009734725,1.372188e-7,0.0007743086,0.0089621395,0.025549006,0.01165251,0.000026380376,0.0002498831],"about_ca_topic_score_codex":0.0007916432,"about_ca_topic_score_gemma":0.00014205478,"teacher_disagreement_score":0.23526347,"about_ca_system_score_codex":0.000060788858,"about_ca_system_score_gemma":0.00011144653,"threshold_uncertainty_score":0.38205352},"labels":[],"label_agreement":null},{"id":"W2902575738","doi":"10.1088/1755-1315/202/1/012012","title":"Public transportation accessibility: towards sustainable transit oriented development (Case study: Depok Baru Station – Jakarta, Indonesia)","year":2018,"lang":"en","type":"article","venue":"IOP Conference Series Earth and Environmental Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Transport Canada","funders":"","keywords":"Baru; Transport engineering; Pedestrian; Public transport; Index (typography); Sustainable development; Transit-oriented development; Sustainable transport; Engineering; Geography; Computer science; Sustainability; Political science","score_opus":0.031444848297674716,"score_gpt":0.2675386174757763,"score_spread":0.23609376917810157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2902575738","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99661946,0.000031327854,0.0008518776,0.00023993253,0.00013417563,0.00078060006,0.000021021468,0.00007874008,0.0012428607],"genre_scores_gemma":[0.9988179,0.00002570621,0.00047621413,0.000053511605,0.0000529472,0.00004480945,0.000038558388,0.00000881391,0.00048151554],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99702394,0.00012004366,0.00041355134,0.00077405013,0.0008981729,0.0007702325],"domain_scores_gemma":[0.999012,0.00002063353,0.00012588223,0.00025381055,0.00013824466,0.00044946268],"candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0013206122,0.00022414792,0.0002162232,0.00013827931,0.002845083,0.00048368544,0.0003557829,0.00009204174,0.0005690308],"category_scores_gemma":[0.000038728416,0.00021307943,0.000032890202,0.0007232056,0.0034611549,0.0038775844,0.000040596155,0.00015003487,0.000010403589],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001361094,0.00057858677,0.74922925,0.00004155361,0.000019993107,0.00035593534,0.14807418,0.0000017860721,0.0036313098,0.0014759364,0.0000029028713,0.09645242],"study_design_scores_gemma":[0.00044496308,0.00025140576,0.8221819,0.000007387443,0.000018506871,0.00000844794,0.16607356,0.000024546734,0.008732626,0.00015766536,0.0018165122,0.0002825225],"about_ca_topic_score_codex":0.0043572467,"about_ca_topic_score_gemma":0.05404392,"teacher_disagreement_score":0.0961699,"about_ca_system_score_codex":0.00013378735,"about_ca_system_score_gemma":0.00088592124,"threshold_uncertainty_score":0.9992508},"labels":[],"label_agreement":null},{"id":"W2902693212","doi":"10.17269/s41997-018-0157-z","title":"Duration and intensity of different types of physical activity among children aged 10–13 years","year":2018,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Heart and Stroke Foundation of Canada","keywords":"Physical activity; Intensity (physics); Curriculum; Duration (music); Psychology; Demography; Medicine; Physical therapy; Pedagogy","score_opus":0.03683667553323398,"score_gpt":0.30159218885562034,"score_spread":0.26475551332238634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2902693212","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981462,0.00003561034,0.000055779055,0.0013670479,0.00009806884,0.000081074824,0.000013925946,0.0000021667906,0.00020017002],"genre_scores_gemma":[0.9996795,0.000007196851,0.000015426533,0.000034476543,0.00021998805,1.6825956e-7,0.0000016344187,0.0000028592358,0.000038739454],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99916476,0.00015892572,0.00022285272,0.000072739334,0.00016989314,0.00021080021],"domain_scores_gemma":[0.9986602,0.000032433978,0.00035720298,0.000071860355,0.00024875998,0.0006295368],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010237101,0.00004707394,0.000226933,0.00011231594,0.00014528705,0.000026137626,0.00012155676,0.00004035769,0.00008949164],"category_scores_gemma":[0.00025090904,0.0000403878,0.00004859672,0.00015782521,0.00059911836,0.00027510658,0.0000044119083,0.000121813995,3.9632062e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000060628877,0.000035668043,0.9800406,0.000009594704,0.000015958001,7.5691156e-7,0.00816711,6.7872975e-8,0.000026785741,0.00016062688,0.0002903258,0.011246413],"study_design_scores_gemma":[0.000117949116,0.00013171638,0.9989572,0.000019494684,0.00000571779,4.0481294e-7,0.00035776215,0.0000072545713,0.00007581122,0.00018364756,0.00011097069,0.00003207962],"about_ca_topic_score_codex":0.10575959,"about_ca_topic_score_gemma":0.5349234,"teacher_disagreement_score":0.42916378,"about_ca_system_score_codex":0.00012920576,"about_ca_system_score_gemma":0.0019737105,"threshold_uncertainty_score":0.90019524},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high"}],"label_agreement":"agree"},{"id":"W2902806645","doi":"10.1016/j.trc.2018.11.012","title":"Characterization of bicycle following and overtaking maneuvers on cycling paths","year":2018,"lang":"en","type":"article","venue":"Transportation Research Part C Emerging Technologies","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":57,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Overtaking; Microsimulation; Cluster analysis; Multivariate statistics; Cluster (spacecraft); Simulation; Computer science; Cycling; Poison control; Transport engineering; Engineering; Artificial intelligence; Machine learning; Geography","score_opus":0.07501473174504283,"score_gpt":0.4013459562547546,"score_spread":0.32633122450971175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2902806645","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963227,0.000039064085,0.0002641522,0.0010487742,0.00015990812,0.00029462477,0.00001435738,0.00042397462,0.0014324331],"genre_scores_gemma":[0.99938,0.00016803261,0.00021790351,0.00001303914,0.000052839943,0.00002619671,0.000028697503,0.000011457953,0.00010182097],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982312,0.000083624516,0.00031287575,0.00032731713,0.000649805,0.00039523045],"domain_scores_gemma":[0.9993219,0.00013494403,0.000106957676,0.00021591624,0.0001776292,0.000042693795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011792606,0.00010112814,0.00016766916,0.00033817557,0.00075436913,0.00004261852,0.000267479,0.00014940412,0.00005129425],"category_scores_gemma":[0.00021860804,0.00010002464,0.00005918099,0.0008182597,0.00085437146,0.00036144123,0.000009605359,0.00024311733,0.000005132568],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000078081255,0.00009090369,0.8889327,0.00008037537,0.000037796777,0.000013787411,0.0104860095,0.000004284715,0.058523975,0.016749933,0.00004328021,0.024958896],"study_design_scores_gemma":[0.0005197074,0.00025541979,0.8420178,0.00044936105,0.000031974418,4.0966132e-8,0.02117737,0.00011439608,0.11492146,0.00746408,0.012702562,0.00034580275],"about_ca_topic_score_codex":0.0009856535,"about_ca_topic_score_gemma":0.0025044207,"teacher_disagreement_score":0.056397483,"about_ca_system_score_codex":0.000036815858,"about_ca_system_score_gemma":0.000076412434,"threshold_uncertainty_score":0.58020735},"labels":[],"label_agreement":null},{"id":"W2903014635","doi":"10.1007/s42413-018-0010-4","title":"Bringing the Neighbourhood Into Urban Infill Development in the Interest of Well-Being","year":2018,"lang":"en","type":"article","venue":"International Journal of Community Well-Being","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Bullitt Foundation","keywords":"Compact city; Infill; Neighbourhood (mathematics); Smart growth; Urban sprawl; Context (archaeology); Urban planning; Urban density; Economic geography; Urban design; Environmental planning; Economic growth; Geography; Civil engineering; Engineering; Economics","score_opus":0.02689271318502119,"score_gpt":0.3216961466085442,"score_spread":0.294803433423523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2903014635","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9180513,0.000057144694,0.00049486605,0.0038686895,0.0007093189,0.00010534031,3.694558e-7,0.000010570421,0.07670237],"genre_scores_gemma":[0.99828506,0.00002994049,0.00027047188,0.00068335317,0.0006426543,0.0000019547683,0.0000026618468,0.000010482233,0.00007341714],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9971812,0.000732261,0.00088552624,0.00008315718,0.0008626091,0.0002552696],"domain_scores_gemma":[0.99736464,0.00090344186,0.00072148285,0.00028777606,0.00065628154,0.00006636015],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0053951275,0.00014324655,0.00022827271,0.00025298572,0.0008287628,0.0002141172,0.003018835,0.00007240294,0.00028223917],"category_scores_gemma":[0.0004708372,0.000097108685,0.00014986948,0.00034053443,0.0005482736,0.0005814347,0.00021244121,0.0010331804,0.000011378303],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013763664,0.00039934172,0.40451932,0.00002400954,0.00020489848,0.000027395734,0.54335266,0.000025690733,0.0005519126,0.03215505,0.00037733908,0.01822473],"study_design_scores_gemma":[0.001455025,0.00019669827,0.7461351,0.0012606255,0.0000716437,0.000032356387,0.07882575,0.00010268037,0.0122575415,0.06523179,0.09400056,0.00043018744],"about_ca_topic_score_codex":0.004584004,"about_ca_topic_score_gemma":0.01610806,"teacher_disagreement_score":0.46452692,"about_ca_system_score_codex":0.00023060755,"about_ca_system_score_gemma":0.00026248378,"threshold_uncertainty_score":0.89886755},"labels":[],"label_agreement":null},{"id":"W2903264552","doi":"10.3390/children5120159","title":"Exploring the Effect of Perceptions on Children’s Physical Activity in Varying Geographic Contexts: Using a Structural Equation Modelling Approach to Examine a Cross-Sectional Dataset","year":2018,"lang":"en","type":"article","venue":"Children","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Children’s Health Research Institute; Western University","funders":"Canadian Institutes of Health Research; Social Sciences and Humanities Research Council of Canada; Heart and Stroke Foundation of Canada; Children's Health Research Institute","keywords":"Structural equation modeling; Perception; Cross-sectional study; Physical activity; Psychology; Econometrics; Mathematics; Statistics; Medicine","score_opus":0.11600370471763034,"score_gpt":0.3535548570326558,"score_spread":0.2375511523150255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2903264552","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99614054,0.0000049686087,0.0026844342,0.000009184512,0.000085783344,0.0006474804,0.0003403517,0.000027877013,0.000059389047],"genre_scores_gemma":[0.998958,9.832825e-7,0.00010505608,0.0000081680855,0.00058432925,0.000032511893,0.00029952216,0.000009768885,0.0000016613076],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99862313,0.00021581654,0.00017358999,0.0003769364,0.00034741036,0.00026313713],"domain_scores_gemma":[0.99942714,0.00013747987,0.0000837706,0.0002453963,0.00004227015,0.000063947715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005722488,0.00014199987,0.00018977787,0.00012689749,0.00070190185,0.00008687371,0.00028278588,0.000047648045,0.000013437793],"category_scores_gemma":[0.000052640964,0.00010476356,0.000103600345,0.00045821382,0.00039183145,0.00061727094,0.0000386001,0.00022181436,0.0000025019826],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000089446774,0.00007393196,0.9773139,0.000003677644,0.000022516213,5.3192714e-8,0.0030611788,0.018489705,0.00020448724,0.00006226311,0.0000011611457,0.00067768025],"study_design_scores_gemma":[0.00035081492,0.00010214162,0.9822683,0.000018540333,0.000017688586,3.462042e-7,0.00002214772,0.01671464,0.00032034016,0.000071714996,2.2291118e-7,0.0001131113],"about_ca_topic_score_codex":0.01176245,"about_ca_topic_score_gemma":0.00031750987,"teacher_disagreement_score":0.01144494,"about_ca_system_score_codex":0.0000991789,"about_ca_system_score_gemma":0.000034932214,"threshold_uncertainty_score":0.99481833},"labels":[],"label_agreement":null},{"id":"W2905625515","doi":"10.1016/j.healthplace.2018.12.005","title":"Unpacking walkability indices and their inherent assumptions","year":2018,"lang":"en","type":"article","venue":"Health & Place","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":109,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Walkability; Built environment; Downtown; Environmental health; Geography; Medicine; Civil engineering; Engineering","score_opus":0.048298458352244035,"score_gpt":0.3711537881012494,"score_spread":0.3228553297490053,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2905625515","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9865758,0.00062818726,0.00021309889,0.0061883964,0.0002749791,0.00031154446,0.000016012544,0.00010016805,0.0056918105],"genre_scores_gemma":[0.9983945,0.00010796299,0.00018455076,0.0006245646,0.0003458118,0.00000979519,0.00000497929,0.0000050713356,0.0003227648],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99880004,0.00021343482,0.00021312325,0.00026063854,0.0001630803,0.00034971238],"domain_scores_gemma":[0.9992905,0.0001555371,0.00010525704,0.00016496243,0.000060142243,0.00022354946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014509402,0.00008543958,0.00014910527,0.000033716165,0.0011257661,0.000062632964,0.00013466008,0.00006920744,0.0003609326],"category_scores_gemma":[0.00007532304,0.00006937661,0.000027996037,0.00019726556,0.00051684596,0.00023108331,0.000021865337,0.00013837038,0.000026193606],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018773086,0.0000863551,0.9235104,0.00007296991,0.0000067049555,3.4666934e-7,0.047152963,2.0551784e-7,0.0000110658675,0.0012402333,0.001486425,0.026413558],"study_design_scores_gemma":[0.00017923239,0.00007476468,0.8588901,0.000044677225,0.000003734386,2.1426986e-7,0.0049962834,0.000028287372,0.000039125356,0.0027132868,0.13290724,0.00012300325],"about_ca_topic_score_codex":0.009079922,"about_ca_topic_score_gemma":0.08043592,"teacher_disagreement_score":0.13142082,"about_ca_system_score_codex":0.00013732597,"about_ca_system_score_gemma":0.0003942599,"threshold_uncertainty_score":0.9975187},"labels":[],"label_agreement":null},{"id":"W2906125161","doi":"10.32920/ryerson.14654823","title":"Household Size as a Determinant of Annual Shelter and Transportation Expenditures in Canada","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Respondent; Agricultural economics; Economics; Population; Household income; Geography; Demographic economics; Business; Economic growth; Demography; Political science","score_opus":0.01611763640341626,"score_gpt":0.27171891771915363,"score_spread":0.2556012813157374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2906125161","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973236,0.00035495288,0.000010525753,0.00016634328,0.00027813212,0.00024408825,0.00018224788,0.000013685509,0.0014264301],"genre_scores_gemma":[0.99926215,0.00010824456,0.00015144785,0.00009272581,0.000047290097,0.000017361537,0.00003832967,0.000008041184,0.00027439016],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986065,0.00006823834,0.0003868235,0.00036674205,0.00036526457,0.00020642894],"domain_scores_gemma":[0.999465,0.000100999576,0.00012693883,0.00017245194,0.00004496006,0.00008963642],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021293516,0.00014115262,0.00033099318,0.000034901226,0.000053569802,0.00003477821,0.00019890258,0.0001668973,0.00041751371],"category_scores_gemma":[0.000026988142,0.00013108434,0.00006164741,0.00006665453,0.00011586713,0.00014764257,0.000019372917,0.0002337022,7.735338e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020309184,0.000042847747,0.9818741,0.00015459853,0.00001233831,0.00011596353,0.016283885,0.000029566756,0.00003946589,0.00006455536,0.00011533787,0.0012470451],"study_design_scores_gemma":[0.00014594846,0.000006118929,0.9835319,0.000094843956,0.000020121588,1.01883536e-7,0.01461499,0.000003170933,0.0007715381,0.00035305432,0.00028943518,0.00016875862],"about_ca_topic_score_codex":0.9962391,"about_ca_topic_score_gemma":0.99977237,"teacher_disagreement_score":0.0035332297,"about_ca_system_score_codex":0.00014700573,"about_ca_system_score_gemma":0.0029227862,"threshold_uncertainty_score":0.53454643},"labels":[],"label_agreement":null},{"id":"W2906396347","doi":"10.32920/ryerson.14654358.v1","title":"Factors Contributing To Winter Cycling: Case Study of A Downtown University Campus In Toronto, Canada","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University; Toronto Metropolitan University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Cycling; Downtown; Geography; Neighbourhood (mathematics); Transport engineering; Socioeconomics; Environmental planning; Engineering; Sociology; Forestry","score_opus":0.03207436266024245,"score_gpt":0.31131079682253554,"score_spread":0.2792364341622931,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2906396347","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9896238,0.000050136743,0.00004956106,0.000080842656,0.00049237686,0.0007073454,0.00005267578,0.000025035846,0.008918241],"genre_scores_gemma":[0.9992151,0.0000023921364,0.000022961,0.000024343199,0.00004072053,0.0000015987201,0.000015214768,0.0000052985533,0.00067234406],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9980932,0.00024702476,0.0003771031,0.00050305296,0.00037336576,0.000406241],"domain_scores_gemma":[0.9989605,0.00015142295,0.00016108002,0.0003114483,0.00021845149,0.00019709479],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00061971776,0.00018100969,0.0004874983,0.000041344363,0.00022821309,0.000049310966,0.00040112238,0.00016680571,0.0013126979],"category_scores_gemma":[0.00014086935,0.00017376442,0.000090592104,0.00019036609,0.00005095482,0.00013491257,0.0003550477,0.00029582044,1.05299115e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011700275,0.00021099478,0.9509227,0.000020472673,0.00004358191,0.0014558182,0.04699387,0.00005040268,0.0000028104755,0.000009817309,0.000026990769,0.00025081506],"study_design_scores_gemma":[0.00025675094,0.00001756276,0.42383137,0.00003967856,0.000035582365,2.6533104e-7,0.5754686,0.0000052096684,0.000030621388,0.0000033360725,0.00013157645,0.00017946259],"about_ca_topic_score_codex":0.99979514,"about_ca_topic_score_gemma":0.9999913,"teacher_disagreement_score":0.52847475,"about_ca_system_score_codex":0.0023376355,"about_ca_system_score_gemma":0.0021193025,"threshold_uncertainty_score":0.99960023},"labels":[],"label_agreement":null},{"id":"W2906531321","doi":"10.1007/bf03405399","title":"By Your Own Two Feet","year":2007,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":50,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Waterloo; Statistics Canada; Public Health Agency of Canada","funders":"Health Canada","keywords":"Cycling; Marital status; Logistic regression; Physical activity; Work (physics); Gerontology; Geography; Demography; Psychology; Environmental health; Medicine; Physical medicine and rehabilitation; Population; Sociology; Engineering","score_opus":0.08382927247764509,"score_gpt":0.37300364818646553,"score_spread":0.28917437570882043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2906531321","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90951794,0.0021357462,0.002229395,0.061802693,0.0011271798,0.00012471616,0.00003515798,0.000013710371,0.023013473],"genre_scores_gemma":[0.9954849,0.000030499796,0.00021009562,0.0026109952,0.0006494018,2.2221353e-7,0.000004545843,0.0000073720917,0.0010020046],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99793524,0.00016514953,0.0005025022,0.00010537388,0.00033440712,0.0009573456],"domain_scores_gemma":[0.99502766,0.00005627944,0.0002980122,0.00010889999,0.00026000993,0.004249158],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009186269,0.00007360477,0.00019309805,0.00024172294,0.00061928347,0.00016647259,0.0004092334,0.00006505134,0.00081575464],"category_scores_gemma":[0.0003745158,0.0000677843,0.000075031065,0.0004648723,0.0002384309,0.00053647696,0.000002300331,0.00028873142,0.000009712304],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000021028854,0.000026276066,0.82800925,0.000008363612,0.000013187129,0.00005112712,0.010409353,2.1955854e-7,0.000003279592,0.0036597133,0.07271662,0.085100494],"study_design_scores_gemma":[0.00021797846,0.000041245527,0.16191083,0.00001044168,0.000002198581,0.0000031733118,0.003899856,3.7557334e-7,0.0000027727697,0.00051072397,0.83332855,0.00007185966],"about_ca_topic_score_codex":0.3334597,"about_ca_topic_score_gemma":0.88154924,"teacher_disagreement_score":0.7606119,"about_ca_system_score_codex":0.0008946867,"about_ca_system_score_gemma":0.017079184,"threshold_uncertainty_score":0.9884931},"labels":[],"label_agreement":null},{"id":"W2907185436","doi":"10.1016/j.jtrangeo.2018.12.007","title":"A random utility maximization (RUM) based measure of accessibility to transit: Accurate capturing of the first-mile issue in urban transit","year":2018,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Arup Group (Canada); University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mile; Transit (satellite); Measure (data warehouse); Transport engineering; Computer science; Geographic information system; Last mile (transportation); Gravity model of trade; Public transport; Geography; Engineering; Business; Data mining","score_opus":0.017900943192304314,"score_gpt":0.27043002059867943,"score_spread":0.2525290774063751,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2907185436","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9870547,0.00030107415,0.008941452,0.0016011507,0.00046342798,0.0007629255,0.000082255705,0.000018223038,0.0007747621],"genre_scores_gemma":[0.99914485,0.000024501904,0.00047712083,0.00014389055,0.00017527268,0.000006358438,0.0000035588507,0.0000157128,0.000008735776],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9961607,0.0002868811,0.0016576847,0.0003489707,0.0011267249,0.0004190309],"domain_scores_gemma":[0.9976007,0.00011429906,0.00074829534,0.00045529357,0.0008689805,0.00021248375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034487052,0.0002516506,0.0008037955,0.00041275827,0.00027917835,0.00002467028,0.0010172148,0.00021956311,0.0004235584],"category_scores_gemma":[0.00008388141,0.00018727127,0.0008995265,0.0021018095,0.0008036699,0.00060539925,0.0000069032203,0.0003797397,5.2734754e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018481897,0.0004546238,0.9823036,0.00018687808,0.00006357212,0.0000055450655,0.013297753,0.00058791507,0.000365148,0.0000054697143,0.00003946818,0.0008417921],"study_design_scores_gemma":[0.0025525477,0.00013630277,0.98735493,0.00035894333,0.00019462571,3.8884338e-7,0.00053119526,0.00006889661,0.0067352974,0.00023054596,0.0016510345,0.00018530339],"about_ca_topic_score_codex":0.0025115695,"about_ca_topic_score_gemma":0.029222336,"teacher_disagreement_score":0.026710767,"about_ca_system_score_codex":0.000047042064,"about_ca_system_score_gemma":0.000428205,"threshold_uncertainty_score":0.98849183},"labels":[],"label_agreement":null},{"id":"W2907240791","doi":"10.1016/j.pmedr.2018.12.015","title":"Lessons learned from the development and implementation of a citywide stair prompt initiative","year":2018,"lang":"en","type":"article","venue":"Preventive Medicine Reports","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; McMaster University; University of Toronto; Public Health Ontario; University of Alberta","funders":"National Center for Chronic Disease Prevention and Health Promotion; Centers for Disease Control and Prevention; New York City Department of Health and Mental Hygiene","keywords":"Outreach; Population; Audit; Business; Government (linguistics); Public health; Environmental health; Medicine; Nursing; Political science","score_opus":0.11125450698993572,"score_gpt":0.41986738585925104,"score_spread":0.3086128788693153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2907240791","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9898745,0.00020254418,0.0008529689,0.0042864964,0.00014911298,0.00048993644,0.0000056102185,0.000020417277,0.004118415],"genre_scores_gemma":[0.999158,0.000023810888,0.00026582045,0.00006461233,0.00022096894,0.000028996043,0.00002563336,0.0000046485725,0.00020748719],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99858767,0.00017129084,0.00044437745,0.00025603164,0.00038269997,0.0001579065],"domain_scores_gemma":[0.99899405,0.00016896152,0.0004039762,0.00014468476,0.00022693384,0.00006141911],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015743901,0.00008409961,0.00018122717,0.000028763105,0.00033716563,0.000010461855,0.00008517744,0.000031604286,0.000548517],"category_scores_gemma":[0.00025148963,0.000054600532,0.000024902285,0.00017949569,0.0008041272,0.0001474791,0.000035676752,0.00007356794,8.654317e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010540007,0.000029884119,0.82668847,0.000009699618,0.000056792895,0.000008505595,0.12474545,1.1929351e-8,0.00017944654,0.00023257258,0.0002614615,0.04777719],"study_design_scores_gemma":[0.0002110144,0.000051184383,0.9441837,0.00008831052,0.000052402764,3.3653467e-7,0.029755719,4.4854502e-7,0.0048045213,0.013357682,0.0074295877,0.0000651151],"about_ca_topic_score_codex":0.0063430276,"about_ca_topic_score_gemma":0.027281808,"teacher_disagreement_score":0.11749524,"about_ca_system_score_codex":0.000044708195,"about_ca_system_score_gemma":0.00035875023,"threshold_uncertainty_score":0.9904678},"labels":[],"label_agreement":null},{"id":"W2908191752","doi":"10.4135/9781526479945","title":"Transportation Disruption and Sustainable Communities: A Case Study of Churchill, Manitoba, Canada","year":2019,"lang":"en","type":"book","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geography; Environmental planning","score_opus":0.023016080202682566,"score_gpt":0.2708570480083121,"score_spread":0.24784096780562956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2908191752","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.866271,0.00011248958,0.0000075698886,0.00002255243,0.0000999974,0.0011432178,0.00006943828,0.000023537143,0.13225019],"genre_scores_gemma":[0.71233416,0.00001966092,0.0000038271905,0.000017992643,0.000043532826,0.00001083117,0.00011658059,0.000011244113,0.2874422],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99864787,0.00011184494,0.00036343327,0.00018965795,0.0004237438,0.00026343353],"domain_scores_gemma":[0.9991079,0.00012907674,0.00019882956,0.00027058017,0.00021246234,0.000081168095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042048172,0.00017164543,0.0003455184,0.000073345785,0.00048093588,0.000042177635,0.00018638323,0.00014705728,0.0002562352],"category_scores_gemma":[0.0000046407386,0.00016400283,0.000041843705,0.0000835056,0.00017829699,0.00023598797,0.000010697966,0.00023043844,4.711269e-7],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000098258475,0.0007912702,0.6466321,0.0022188174,0.00028619097,0.0030647053,0.3201821,0.000023246243,5.526941e-7,0.013415722,0.010732309,0.0025547098],"study_design_scores_gemma":[0.00046935922,0.00013297536,0.031247389,0.000047307345,0.00016715836,0.000002495836,0.94352114,0.000003548844,3.3561807e-7,0.0005810757,0.023564287,0.0002629305],"about_ca_topic_score_codex":0.99868715,"about_ca_topic_score_gemma":0.9999221,"teacher_disagreement_score":0.623339,"about_ca_system_score_codex":0.0003786642,"about_ca_system_score_gemma":0.0021206033,"threshold_uncertainty_score":0.66878414},"labels":[],"label_agreement":null},{"id":"W2908578926","doi":"","title":"Road Management Systems to Support Bicycling: A Case Study of Montreal’s Bike Network","year":2018,"lang":"en","type":"dissertation","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transport engineering; Engineering; Upgrade; Sustainable transport; Scheduling (production processes); Computer science; Sustainability; Operations management","score_opus":0.03329195802000508,"score_gpt":0.35137904188494934,"score_spread":0.3180870838649443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2908578926","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82239693,0.00006874835,0.000016519702,0.000007632415,0.0017857356,0.0021211305,0.000009144127,0.00008286652,0.17351127],"genre_scores_gemma":[0.914054,0.000013972288,0.00008004453,0.000016113434,0.00057604315,0.00013148742,0.00010621207,0.000022196009,0.08499996],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99749833,0.00012237942,0.0007327432,0.0005593971,0.0006705077,0.00041664497],"domain_scores_gemma":[0.99875385,0.000027287875,0.0003167717,0.0004592403,0.00024172195,0.00020115187],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009880542,0.00024252148,0.00050466525,0.00015950031,0.00040099438,0.000105242216,0.0004304743,0.00020902019,0.00045023856],"category_scores_gemma":[0.000012350553,0.00021393316,0.00011659937,0.0006258645,0.00004323348,0.00011348994,0.000023039758,0.00011334695,0.00003921695],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006198047,0.0044823973,0.5207884,0.0017335521,0.0014812354,0.0061928034,0.33386192,0.00024639894,0.0000027894503,0.00095740263,0.05958183,0.070051506],"study_design_scores_gemma":[0.00089499325,0.0009044038,0.20062213,0.00027147357,0.0008166101,0.0000027921296,0.7818896,0.00002903203,0.0000046753917,0.00015654381,0.01362185,0.0007858709],"about_ca_topic_score_codex":0.30361408,"about_ca_topic_score_gemma":0.7469592,"teacher_disagreement_score":0.4480277,"about_ca_system_score_codex":0.000074349584,"about_ca_system_score_gemma":0.00012478643,"threshold_uncertainty_score":0.87239414},"labels":[],"label_agreement":null},{"id":"W2908869057","doi":"10.17269/s41997-018-0168-9","title":"Municipal transportation policy as a population health intervention: estimating the impact of the City of Ottawa Transportation Master Plan on diabetes incidence","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; Ottawa Hospital; Dalhousie University; Ottawa Public Health; Bruyère; University of Ottawa","funders":"","keywords":"Population; Public health; Intervention (counseling); Environmental health; Medicine; Psychological intervention; Population health; Health policy; Health care; Gerontology; Business; Nursing; Economic growth; Economics","score_opus":0.06391311709686055,"score_gpt":0.36808289360762325,"score_spread":0.3041697765107627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2908869057","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9874711,0.00013816344,0.00011217257,0.011406128,0.0002469501,0.0003798499,0.00009795443,0.000004052759,0.00014364379],"genre_scores_gemma":[0.9993495,0.0000043116734,0.000086721666,0.00035658525,0.00012783095,0.000001841198,0.000033524655,0.000007644858,0.00003209399],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99743867,0.0005425057,0.0010233046,0.0001178236,0.00045178251,0.00042593642],"domain_scores_gemma":[0.9974297,0.0001149019,0.0015136048,0.00019724986,0.00022008433,0.0005244431],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004104725,0.00010364018,0.0003102773,0.00024198338,0.00035402205,0.00004602711,0.00043296983,0.000065958644,0.00020469322],"category_scores_gemma":[0.000262244,0.00006718874,0.00027006134,0.0006488661,0.00017311677,0.0005163975,0.0000010601883,0.0002806893,7.202774e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000060880834,0.0000246325,0.96783954,0.00007201596,0.000020116566,3.4143102e-7,0.024617156,0.0004888578,0.0000017829925,0.002021255,0.00003944361,0.0048687514],"study_design_scores_gemma":[0.0002608392,0.00036875723,0.99554914,0.00028148515,0.000006180711,3.2177576e-7,0.0022027395,0.000106785854,0.0000048432444,0.0010250179,0.0001423052,0.000051595805],"about_ca_topic_score_codex":0.67102116,"about_ca_topic_score_gemma":0.75892615,"teacher_disagreement_score":0.08790496,"about_ca_system_score_codex":0.0007195931,"about_ca_system_score_gemma":0.005911567,"threshold_uncertainty_score":0.999724},"labels":[],"label_agreement":null},{"id":"W2909027174","doi":"10.1016/j.tra.2018.11.010","title":"Increasing cycling for transportation in Canadian communities: Understanding what works","year":2019,"lang":"en","type":"article","venue":"Transportation Research Part A Policy and Practice","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Cycling; Transport engineering; Environmental planning; Environmental science; Geography; Engineering; Archaeology","score_opus":0.24469601436312305,"score_gpt":0.4821042503896737,"score_spread":0.23740823602655065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2909027174","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.981291,0.00054614706,0.00037748736,0.011417658,0.00013420533,0.0011923324,0.000067358626,0.000035329573,0.004938498],"genre_scores_gemma":[0.99572426,0.0028896143,0.00031608937,0.00044068004,0.00014881017,0.00006970067,0.00027122456,0.000016613829,0.00012300136],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9973131,0.0008259073,0.00036730245,0.00024126761,0.0004734421,0.00077901443],"domain_scores_gemma":[0.9937754,0.005406194,0.00009063573,0.00015945674,0.00022401297,0.00034427398],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007860154,0.000114241404,0.00018276517,0.0004985996,0.00096044433,0.00056244014,0.00017940204,0.00017698393,0.00015294562],"category_scores_gemma":[0.00058300997,0.00013001553,0.000049025508,0.00088758173,0.00028651874,0.004866868,0.000001131277,0.0004767161,0.000006550157],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014272752,0.00014146582,0.54539126,0.0003150615,0.000051505995,0.000019623045,0.26806486,0.00030938032,0.00006013746,0.1786725,0.00008880968,0.0054580905],"study_design_scores_gemma":[0.0018041404,0.00012175153,0.17115285,0.001269515,0.000049800245,5.556707e-7,0.6417017,0.00031831616,0.000018619186,0.016636008,0.16648945,0.00043730985],"about_ca_topic_score_codex":0.89290035,"about_ca_topic_score_gemma":0.9806111,"teacher_disagreement_score":0.37423843,"about_ca_system_score_codex":0.000461302,"about_ca_system_score_gemma":0.0013371193,"threshold_uncertainty_score":0.7387058},"labels":[],"label_agreement":null},{"id":"W2909105546","doi":"10.24095/hpcdp.39.1.02f","title":"Explorer et visualiser à échelle fine les facteurs socioéconomiques,l’accès aux boissons alcoolisées et l’incidence de l’environnementbâti sur les dépenses en alcool dans la ville de Toronto :démarche d’analyse spatiale","year":2019,"lang":"fr","type":"article","venue":"Promotion de la santé et prévention des maladies chroniques au Canada","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Political science; Humanities; Art","score_opus":0.02986141805432366,"score_gpt":0.3246284031992583,"score_spread":0.2947669851449346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2909105546","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9698051,0.0058657606,0.0057892953,0.0029753419,0.00029152457,0.00087341166,0.000292998,0.00018075352,0.013925781],"genre_scores_gemma":[0.97448367,0.011564049,0.002001554,0.0002848899,0.00025461146,0.00020989461,0.00025343162,0.000089345194,0.010858559],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99164176,0.004844849,0.0008662739,0.00085305196,0.000588934,0.0012051034],"domain_scores_gemma":[0.9971992,0.001064008,0.00057393324,0.00046637945,0.0002562635,0.00044025737],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0046298197,0.0006140883,0.00066433125,0.00009304021,0.0008960737,0.00045120326,0.0006921979,0.0005352345,0.021266557],"category_scores_gemma":[0.0004807203,0.000668406,0.00040240903,0.00024160757,0.0014664335,0.0022368215,0.00019524622,0.00063569157,0.000010554045],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.00009153877,0.0007971972,0.91591567,0.0012911501,0.00040766603,0.00007004314,0.051984224,0.0005898608,0.0022586493,0.013900455,0.0032955378,0.009398007],"study_design_scores_gemma":[0.00079505605,0.0002667427,0.9294533,0.0011603953,0.00037169646,0.000017854205,0.016258283,0.001202481,0.0059041595,0.0031532636,0.04054299,0.0008737611],"about_ca_topic_score_codex":0.86388975,"about_ca_topic_score_gemma":0.99736017,"teacher_disagreement_score":0.13347043,"about_ca_system_score_codex":0.0070540514,"about_ca_system_score_gemma":0.006016159,"threshold_uncertainty_score":0.9996188},"labels":[],"label_agreement":null},{"id":"W2909302530","doi":"10.24095/hpcdp.39.1.01f","title":"Synthèse des données probantes - Associations entre les caractéristiques de l’environnement bâtidu quartier et la marche chez les adultes canadiens :une revue systématisée de la littérature","year":2019,"lang":"fr","type":"article","venue":"Promotion de la santé et prévention des maladies chroniques au Canada","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Alberta Cancer Foundation; University of Calgary","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.013943668230361066,"score_gpt":0.280260266319266,"score_spread":0.2663165980889049,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2909302530","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9527508,0.012061927,0.0017028516,0.002826728,0.0002769086,0.0010559716,0.00064945745,0.00019457626,0.02848076],"genre_scores_gemma":[0.97178733,0.01339839,0.0037859003,0.00010579011,0.0003283702,0.0002417092,0.0002500395,0.000070093076,0.010032392],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9908852,0.0058393385,0.00080581463,0.0006907913,0.0005670985,0.0012117344],"domain_scores_gemma":[0.9969787,0.0012690154,0.00065654155,0.000351236,0.00031314584,0.00043133541],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0048962957,0.0005461936,0.00059903436,0.00013422008,0.0011164482,0.0005063455,0.00046810444,0.00068196584,0.0033333842],"category_scores_gemma":[0.0006981722,0.0005864173,0.00029706003,0.00057668117,0.0019319918,0.0009404855,0.00007765318,0.0009911701,0.0000045837332],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000265781,0.0005656861,0.91906935,0.0048863054,0.00030629977,0.000089644454,0.03214221,0.00024836164,0.0004092682,0.029655214,0.0019183223,0.01068278],"study_design_scores_gemma":[0.00044954,0.00018592674,0.9456834,0.006049523,0.0003708515,0.000033396595,0.0076394076,0.0005370845,0.001468974,0.012479946,0.02438922,0.00071271136],"about_ca_topic_score_codex":0.7133783,"about_ca_topic_score_gemma":0.99479365,"teacher_disagreement_score":0.2814153,"about_ca_system_score_codex":0.007722619,"about_ca_system_score_gemma":0.00420782,"threshold_uncertainty_score":0.9996587},"labels":[],"label_agreement":null},{"id":"W2909413182","doi":"10.3390/su11020408","title":"Effects of Perceived Traffic Risks, Noise, and Exhaust Smells on Bicyclist Behaviour: An Economic Evaluation","year":2019,"lang":"en","type":"article","venue":"Sustainability","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":57,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Transport Canada","funders":"","keywords":"Traffic calming; Externality; Transport engineering; Traffic noise; Monetization; Noise pollution; Air pollution; Engineering; Environmental science; Computer science; Economics","score_opus":0.016864339254366985,"score_gpt":0.3421223630098052,"score_spread":0.3252580237554382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2909413182","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966126,0.000065995344,0.0000014152182,0.00019993285,0.00020107397,0.0019307331,0.000012399539,0.000048234437,0.000927585],"genre_scores_gemma":[0.99963963,0.000010353449,0.000013428206,0.000015797965,0.00006706072,0.000033828375,0.000016038302,0.000009826775,0.00019406277],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979466,0.0006171673,0.00029600263,0.00051009946,0.00032528138,0.00030481227],"domain_scores_gemma":[0.9987339,0.00026870315,0.00013193474,0.00038384303,0.000332899,0.00014871421],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023966923,0.00014388986,0.00027263543,0.000057318543,0.00024296557,0.00005273416,0.0002103749,0.00014513773,0.0003449618],"category_scores_gemma":[0.00033749753,0.00013899134,0.00008716849,0.000118576245,0.00049192784,0.0004153255,0.000018341078,0.00016590195,0.000009839301],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000095628915,0.00033309442,0.9830468,0.0002162661,0.0000070636393,9.122349e-7,0.0062720156,0.00024576232,0.00009426899,0.000431764,0.000011794194,0.009244572],"study_design_scores_gemma":[0.00063002604,0.00018418122,0.99175566,0.000011590642,0.000065758024,3.245874e-8,0.0038020944,0.00031244752,0.00016637477,0.0028505325,0.000070052585,0.00015124338],"about_ca_topic_score_codex":0.008402181,"about_ca_topic_score_gemma":0.0037038086,"teacher_disagreement_score":0.009093329,"about_ca_system_score_codex":0.0008778827,"about_ca_system_score_gemma":0.00069138565,"threshold_uncertainty_score":0.99820095},"labels":[],"label_agreement":null},{"id":"W2910023284","doi":"10.1177/0361198118821377","title":"Developing Transportation Engineering and Planning Metrics for Rural Volunteer Driver Programs","year":2019,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Transport engineering; Population; Occupancy; Business; Work (physics); Transportation planning; Engineering; Marketing; Medicine; Environmental health","score_opus":0.10866068008450266,"score_gpt":0.40592913186979823,"score_spread":0.2972684517852956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2910023284","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98893243,0.00039438647,0.005614936,0.0018365709,0.0008639966,0.0021828248,0.00005088821,0.0000511469,0.000072841845],"genre_scores_gemma":[0.9928929,0.00038553865,0.0056038057,0.000032115484,0.00025033683,0.00010212054,0.000052253054,0.000055791286,0.0006251131],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9934583,0.00047603794,0.0012890438,0.00044629912,0.003208342,0.001122008],"domain_scores_gemma":[0.99387056,0.001237099,0.00042269903,0.00029604987,0.0037720292,0.0004015857],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0057816827,0.000270186,0.00051276054,0.0009967597,0.000941969,0.00026495557,0.00090648927,0.0002837526,0.00012142759],"category_scores_gemma":[0.0002583988,0.00022317749,0.00038128303,0.0026118031,0.00055688963,0.0013040893,0.0000034836917,0.0014653454,0.00000677745],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00066692656,0.000104002196,0.9680124,0.0004471268,0.00011869161,0.00002040838,0.015923413,0.0005617176,0.0008917683,0.0073701786,0.00037623435,0.005507134],"study_design_scores_gemma":[0.001578056,0.00030808558,0.9557864,0.00056862255,0.00006808128,7.3363516e-8,0.010899874,0.00021701545,0.00033148206,0.0023175606,0.027646752,0.0002780071],"about_ca_topic_score_codex":0.009313989,"about_ca_topic_score_gemma":0.035382643,"teacher_disagreement_score":0.027270518,"about_ca_system_score_codex":0.00035331267,"about_ca_system_score_gemma":0.0008991167,"threshold_uncertainty_score":0.9972831},"labels":[],"label_agreement":null},{"id":"W2910209912","doi":"10.14288/1.0376034","title":"What's the ideal scooter? Stakeholders' perspectives on enhancing the usability and safety of motorized mobility scooters","year":2019,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Usability; Ideal (ethics); Business; Internet privacy; Transport engineering; Engineering; Computer security; Computer science; Human–computer interaction; Political science","score_opus":0.015293566120792617,"score_gpt":0.21615845011981794,"score_spread":0.20086488399902533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2910209912","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966831,0.00033332876,0.0000975501,0.00057170005,0.0002554731,0.00086167624,0.000053331794,0.000038895723,0.001104928],"genre_scores_gemma":[0.9993467,0.00027699885,0.000043265816,0.000030271993,0.000032585787,6.434525e-7,0.0000021773526,0.0000057517027,0.00026162958],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982376,0.00034794115,0.0002093712,0.00047474998,0.00046641956,0.00026389552],"domain_scores_gemma":[0.99861175,0.0004012488,0.00019431014,0.00048319166,0.00022169479,0.00008781054],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018667943,0.00005771699,0.00029993578,0.000019264411,0.0007550887,0.00018139226,0.000560658,0.000101872145,0.00021390489],"category_scores_gemma":[0.00010706848,0.00010806163,0.00016768058,0.00030805284,0.002231762,0.0008757314,0.00008291466,0.00022392535,0.0000032713294],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035518367,0.0005791802,0.7589525,0.0002564633,0.00013747113,0.000009858796,0.080695495,0.00001730429,0.0013260667,0.00012325637,0.00020828031,0.15733895],"study_design_scores_gemma":[0.00051414745,0.000058467947,0.8156771,0.00011652704,0.000026633628,3.4553452e-7,0.18294781,0.000014070201,0.0000034278357,0.00039116372,0.00015435612,0.00009594183],"about_ca_topic_score_codex":0.2632761,"about_ca_topic_score_gemma":0.50480425,"teacher_disagreement_score":0.24152814,"about_ca_system_score_codex":0.00013753555,"about_ca_system_score_gemma":0.00019207003,"threshold_uncertainty_score":0.82230204},"labels":[],"label_agreement":null},{"id":"W2910358728","doi":"10.1111/gean.12188","title":"A Measure of Competitive Access to Destinations for Comparing Across Multiple Study Regions","year":2019,"lang":"en","type":"article","venue":"Geographical Analysis","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Destinations; Measure (data warehouse); Competition (biology); Supply and demand; Business; Supply side; Population; Inequality; Transport engineering; Computer science; Geography; Economics; Microeconomics; Tourism; Mathematics; Commerce","score_opus":0.05735584174762461,"score_gpt":0.3731842936007159,"score_spread":0.31582845185309133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2910358728","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98987913,0.000011626734,0.0073517766,0.00069648545,0.000043983888,0.0009455258,0.000060146995,0.000046388355,0.0009649062],"genre_scores_gemma":[0.9993824,0.0000020902419,0.00034208942,0.000043432035,0.000028307542,0.00008321681,0.00002560341,0.0000049465516,0.00008793186],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984675,0.000118076525,0.00031569548,0.00037199474,0.0004226439,0.00030408846],"domain_scores_gemma":[0.99855727,0.0003692513,0.0001148608,0.000287545,0.00051694363,0.00015413696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008476737,0.000098975754,0.00042295735,0.000280599,0.00047907504,0.000101991754,0.00051418267,0.000059789294,0.00007379569],"category_scores_gemma":[0.00024946828,0.000090183144,0.00043583327,0.0042592096,0.00019556854,0.00020477892,0.000062950996,0.000095240095,0.0000036309368],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003811859,0.000434283,0.9933695,0.0000099763,0.00041432996,3.7457238e-7,0.0037392655,0.00045674737,0.000009599682,0.0013697578,0.000008941281,0.00014909545],"study_design_scores_gemma":[0.00041110197,0.000052409934,0.9926472,0.000009723931,0.0006107576,8.3544975e-9,0.0049478295,0.00039630162,0.000012433526,0.00047326201,0.00032294926,0.00011607224],"about_ca_topic_score_codex":0.011179991,"about_ca_topic_score_gemma":0.17517214,"teacher_disagreement_score":0.16399215,"about_ca_system_score_codex":0.000020055992,"about_ca_system_score_gemma":0.000037087986,"threshold_uncertainty_score":0.99540466},"labels":[],"label_agreement":null},{"id":"W2910379772","doi":"","title":"Identifying built barriers: Where do our most vulnerable older adults live in Ontario's mid-sized cities?","year":2018,"lang":"en","type":"book-chapter","venue":"ORCA Online Research @Cardiff (Cardiff University)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Gerontology; Geography; Medicine","score_opus":0.059860879806149625,"score_gpt":0.33117225299059555,"score_spread":0.2713113731844459,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2910379772","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25533783,0.002043877,0.00003313037,0.00088690233,0.0012830256,0.002544457,0.0010011147,0.00029510708,0.7365746],"genre_scores_gemma":[0.18973379,0.0024080656,0.0002299242,0.000036676338,0.0014308118,0.000007749995,0.00037564,0.00013598238,0.80564135],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99076504,0.0011287726,0.00074285886,0.002007445,0.003169219,0.0021866474],"domain_scores_gemma":[0.99460983,0.00039731513,0.00034982196,0.0014071497,0.0017247171,0.0015111649],"candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0034623714,0.00083785556,0.0015337282,0.0019566198,0.0022960522,0.00054008956,0.0023714534,0.001512293,0.008922965],"category_scores_gemma":[0.0004511873,0.00095590984,0.0009775407,0.0009997116,0.001558675,0.0012911417,0.00081758865,0.0045234533,0.00031091052],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.0090564415,0.002154255,0.4797026,0.0037030475,0.00690153,0.021298679,0.2431286,0.00007479382,0.00018565034,0.03383018,0.1816852,0.01827903],"study_design_scores_gemma":[0.0039568553,0.00017784555,0.008798033,0.0028511637,0.00026831552,0.0000028154961,0.07171066,0.000011434595,0.000014175554,0.0045147394,0.90616226,0.001531708],"about_ca_topic_score_codex":0.25899866,"about_ca_topic_score_gemma":0.79187304,"teacher_disagreement_score":0.72447705,"about_ca_system_score_codex":0.0047004954,"about_ca_system_score_gemma":0.007041949,"threshold_uncertainty_score":0.99978393},"labels":[],"label_agreement":null},{"id":"W2910406695","doi":"10.24095/hpcdp.39.1.01","title":"Evidence synthesis - A systematized literature review on the associationsbetween neighbourhood built characteristics and walking among Canadian adults","year":2019,"lang":"en","type":"review","venue":"Health Promotion and Chronic Disease Prevention in Canada","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":56,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Alberta Health Services; Alberta Children's Hospital; University of Calgary","funders":"Canadian Institutes of Health Research; Alberta Innovates; Alberta Cancer Foundation","keywords":"Walkability; Built environment; Neighbourhood (mathematics); Destinations; Geography; Physical activity; Medicine; Transport engineering; Psychology; Environmental health; Engineering; Physical medicine and rehabilitation","score_opus":0.0607398380178604,"score_gpt":0.3601005266859044,"score_spread":0.299360688668044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2910406695","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0008651063,0.989957,0.0000014713886,0.0041262414,0.00028672288,0.004257853,0.00039317555,0.000014723765,0.00009775556],"genre_scores_gemma":[0.07775822,0.9209157,0.0000014157521,0.00023216434,0.0001286171,0.0005720073,0.00015827153,0.00001664976,0.00021695472],"study_design_codex":"design_other","study_design_gemma":"systematic_review","domain_scores_codex":[0.99552673,0.0021349795,0.0009059778,0.00048088326,0.00049226684,0.0004591328],"domain_scores_gemma":[0.9975231,0.0005886482,0.0008834001,0.00032029807,0.000097702934,0.0005868169],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023125273,0.00027356073,0.0010114802,0.00011359614,0.0005963889,0.00015369845,0.00024994157,0.00013705558,0.00028298335],"category_scores_gemma":[0.0008771199,0.00020524753,0.00013881516,0.0004605018,0.00005782405,0.00023654124,0.000021159318,0.0004323047,0.0000032066832],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.000003595999,0.0000393157,0.015087496,0.34222072,0.000047715104,0.000011677793,0.00029959972,4.003786e-8,4.6523987e-10,0.00033857572,0.00073471013,0.6412166],"study_design_scores_gemma":[0.00011945258,0.000023598159,0.0767744,0.86214435,0.00044356319,5.255513e-7,0.000075757045,0.000020537234,2.4197333e-9,0.000060854345,0.06004556,0.00029139555],"about_ca_topic_score_codex":0.88783747,"about_ca_topic_score_gemma":0.9969464,"teacher_disagreement_score":0.64092517,"about_ca_system_score_codex":0.0053685177,"about_ca_system_score_gemma":0.028923972,"threshold_uncertainty_score":0.9984497},"labels":[],"label_agreement":null},{"id":"W2910897751","doi":"","title":"Light Rail Transit in the Region of Waterloo: A qualitative examination of urban rail’s effects on real estate, development and urban identities","year":2019,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Light rail transit; Transport engineering; Real estate; Light rail; Real estate development; Urban rail transit; Regional science; Geography; Economic geography; Civil engineering; Engineering; Public transport; Business; Finance","score_opus":0.01742483428631093,"score_gpt":0.25048504743603467,"score_spread":0.23306021314972375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2910897751","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958787,0.000060367278,0.000003963899,0.0002586094,0.00014321935,0.0006949356,0.000013574271,0.000015894857,0.0029307448],"genre_scores_gemma":[0.92476946,0.00022958094,0.00008051651,0.0000038967823,0.000016473317,0.0000017324479,0.00018520787,0.000011317064,0.07470183],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99786913,0.0006546003,0.00028794602,0.00035206025,0.00060113624,0.00023513407],"domain_scores_gemma":[0.9988106,0.00025654654,0.0004683261,0.00020899896,0.00020715865,0.000048357408],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000966758,0.00021766659,0.00052351446,0.00034941948,0.00020953346,0.000021782831,0.00040699038,0.000275213,0.000016823184],"category_scores_gemma":[0.000023072722,0.00019648687,0.000120354096,0.0003086369,0.0002346848,0.00042018076,0.000013481812,0.00019914351,0.0000023699697],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029488956,0.00012379813,0.0069282707,0.001173351,0.000058467678,0.000017550989,0.98707885,0.0000010504605,0.0008330777,0.0005645382,0.00012446039,0.00280168],"study_design_scores_gemma":[0.00074603874,0.00019187179,0.20920733,0.00054394803,0.000096325544,1.105231e-7,0.7829064,0.0000024096114,0.005842091,0.00013635262,0.00012420853,0.00020288612],"about_ca_topic_score_codex":0.077124484,"about_ca_topic_score_gemma":0.24201714,"teacher_disagreement_score":0.20417243,"about_ca_system_score_codex":0.000104833205,"about_ca_system_score_gemma":0.00017542444,"threshold_uncertainty_score":0.929021},"labels":[],"label_agreement":null},{"id":"W2911196856","doi":"10.3390/ijerph16020170","title":"Spatial Accessibility to Primary Healthcare Services by Multimodal Means of Travel: Synthesis and Case Study in the City of Calgary","year":2019,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":68,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Alberta Health Services; University of Calgary","funders":"","keywords":"Universal design; Health care; Business; Public transport; Transport engineering; Population; Primary health care; Pedestrian; Geography; Environmental health; Computer science; Economic growth; Medicine; Engineering","score_opus":0.06637261261973465,"score_gpt":0.4013411055063126,"score_spread":0.33496849288657793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2911196856","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9938294,0.0003415483,0.000027514076,0.004965288,0.000058092948,0.0005342487,0.00010441134,0.0000010052548,0.00013844349],"genre_scores_gemma":[0.9994368,0.00025958344,0.000060750954,0.00017472375,0.00004486343,0.0000052424466,0.0000040638784,0.000003663592,0.000010284814],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9966447,0.0009286143,0.00057758373,0.00018433091,0.0014052117,0.00025956787],"domain_scores_gemma":[0.9986922,0.00056603254,0.00023578145,0.00011630584,0.00010819699,0.00028143942],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0069988,0.000070766815,0.0002425538,0.00018279617,0.00012527242,0.0000570537,0.00048756946,0.00004515175,0.000120935925],"category_scores_gemma":[0.000107562744,0.000051213497,0.00003605552,0.00014223524,0.00029459133,0.00038766995,0.000089186055,0.00030913926,3.3829025e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014842337,0.0012424191,0.9386109,0.00006138523,0.00002227405,0.000037256446,0.018900825,1.3182216e-7,0.000111913156,0.000017769942,0.0000049860596,0.0408417],"study_design_scores_gemma":[0.00043335886,0.00049932353,0.95336044,0.000036379814,0.0000017763862,0.000012641282,0.04536558,0.00001289047,0.000033239896,0.0001109348,0.00009643046,0.00003698677],"about_ca_topic_score_codex":0.0711855,"about_ca_topic_score_gemma":0.027509678,"teacher_disagreement_score":0.04367582,"about_ca_system_score_codex":0.00025327824,"about_ca_system_score_gemma":0.00039796962,"threshold_uncertainty_score":0.99023575},"labels":[],"label_agreement":null},{"id":"W2911226402","doi":"10.4337/9781788110914.00007","title":"Ottawa-Gatineau: bus rapid transit and metropolitan planning","year":2019,"lang":"en","type":"book-chapter","venue":"Edward Elgar Publishing eBooks","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Bus rapid transit; Metropolitan area; Downtown; Transport engineering; Implementation; Transit (satellite); Geography; Public transport; Business; Computer science; Engineering","score_opus":0.029753402282511242,"score_gpt":0.27120297657372766,"score_spread":0.2414495742912164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2911226402","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0022931586,0.001707456,0.00011590961,0.0010040012,0.0014083444,0.00061905937,0.00013337638,0.00038133812,0.99233735],"genre_scores_gemma":[0.20584422,0.0000399622,0.00062012684,0.0006556911,0.0022677064,0.000011597083,0.00018550165,0.00015197563,0.7902232],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99635553,0.000107613116,0.00069574296,0.0009575212,0.0010984396,0.0007851256],"domain_scores_gemma":[0.9979989,0.00029664728,0.00041450496,0.00059835555,0.0002541091,0.0004374703],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0018980674,0.0005498469,0.0007996398,0.0003312518,0.00074714725,0.0021474492,0.0009396923,0.0010056735,0.0009029905],"category_scores_gemma":[0.000220343,0.0005503617,0.0003145847,0.00005605603,0.0006994902,0.0013477282,0.00008671188,0.0013899493,0.000047408128],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000103664184,0.00004294668,0.013122597,0.0005460659,0.00055591617,0.00014643326,0.02510732,0.0000025470601,0.00003894619,0.8372628,0.06399035,0.059080385],"study_design_scores_gemma":[0.00042781467,0.000055248296,0.0012944185,0.00030512214,0.00015175702,0.0000015233908,0.0009373056,0.0000048025504,0.000020861542,0.021594675,0.97445565,0.00075080746],"about_ca_topic_score_codex":0.003551655,"about_ca_topic_score_gemma":0.0036909124,"teacher_disagreement_score":0.9104653,"about_ca_system_score_codex":0.00037640514,"about_ca_system_score_gemma":0.00072743377,"threshold_uncertainty_score":0.99969476},"labels":[],"label_agreement":null},{"id":"W2911344018","doi":"10.3390/su11041028","title":"Framework for Assessing Public Transportation Sustainability in Planning and Policy-Making","year":2019,"lang":"en","type":"article","venue":"Sustainability","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":59,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sustainability; Transportation planning; Public transport; Sustainable transport; Social sustainability; Business; Corporate governance; Public policy; Environmental planning; Urban planning; Sustainability organizations; Environmental economics; Environmental resource management; Transport engineering; Economics; Engineering; Civil engineering; Economic growth; Geography; Finance","score_opus":0.02554038407735164,"score_gpt":0.3958887951215346,"score_spread":0.3703484110441829,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2911344018","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9758951,0.00014635101,0.010870741,0.009996391,0.00013083608,0.0020221523,0.000010874216,0.00011784788,0.0008097162],"genre_scores_gemma":[0.99823666,0.0000019428398,0.0012718416,0.00011015854,0.00014712707,0.00010355972,0.000016203623,0.000017189137,0.00009530924],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99728054,0.0003558411,0.0004940675,0.00067795,0.00032410747,0.0008674788],"domain_scores_gemma":[0.9973926,0.0009951462,0.00015789465,0.0003740511,0.00092765637,0.00015262881],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036561813,0.00019176211,0.00034919314,0.0002256029,0.00058010785,0.00028971292,0.0002614435,0.00029082558,0.000050047405],"category_scores_gemma":[0.006652223,0.00020259753,0.00011359281,0.00089900405,0.0004932999,0.001373962,0.000018844354,0.00040214445,4.4612153e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004780268,0.000088576955,0.8040548,0.00051366154,0.0000042403803,0.0000027234332,0.013197138,0.00004314372,0.0000014471369,0.1757869,0.0000029218668,0.0062566684],"study_design_scores_gemma":[0.00020389978,0.000016703361,0.55281717,0.000025586813,0.0000054425577,3.2681893e-8,0.026603393,0.000052968328,0.0000029354933,0.418743,0.0013958028,0.00013305077],"about_ca_topic_score_codex":0.0034870454,"about_ca_topic_score_gemma":0.00284293,"teacher_disagreement_score":0.2512376,"about_ca_system_score_codex":0.0022350315,"about_ca_system_score_gemma":0.0029325334,"threshold_uncertainty_score":0.8261688},"labels":[],"label_agreement":null},{"id":"W2911527871","doi":"10.32866/7400","title":"Accessibility, equity, and mode share: an introductory analysis across 11 Canadian metropolitan areas","year":2019,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Metropolitan area; Equity (law); Public transport; Mode (computer interface); Demographic economics; Mode choice; Geography; Low income; Economic geography; Regional science; Business; Economics; Political science; Transport engineering; Computer science; Engineering","score_opus":0.033612523261477206,"score_gpt":0.38036540625252546,"score_spread":0.34675288299104823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2911527871","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9489502,0.000091975795,0.00003570307,0.0012487259,0.00020596197,0.00028556847,0.00015398437,0.000101492944,0.04892639],"genre_scores_gemma":[0.9963411,0.000009366995,0.00013430718,0.0004219843,0.00023288252,0.000006337945,0.000090992085,0.000012103302,0.00275094],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972871,0.00016736105,0.00032552597,0.00081158767,0.00055082364,0.00085758214],"domain_scores_gemma":[0.99805206,0.000053268785,0.000079664314,0.00071281113,0.00018264745,0.00091957056],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015705667,0.00018762989,0.00039272875,0.00021852314,0.0006637473,0.0005591309,0.0008677858,0.00017144383,0.005468871],"category_scores_gemma":[0.00008669194,0.00016843337,0.0001471796,0.001227517,0.00044535424,0.0013710719,0.00020858124,0.00016112771,0.000035075704],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000069146618,0.00004805055,0.9891335,0.000013421746,0.00007267824,0.000002076973,0.0030209108,0.0000043416626,0.000027662061,0.0065363026,0.00012211094,0.0010120277],"study_design_scores_gemma":[0.0001653824,0.000020543417,0.98417324,0.0000025647767,0.00012880831,7.855006e-8,0.0070037874,0.00025236752,0.00005328391,0.0053942082,0.0025312742,0.00027445055],"about_ca_topic_score_codex":0.9308828,"about_ca_topic_score_gemma":0.99682224,"teacher_disagreement_score":0.065939434,"about_ca_system_score_codex":0.0007323603,"about_ca_system_score_gemma":0.0005582576,"threshold_uncertainty_score":0.99544024},"labels":[],"label_agreement":null},{"id":"W2911549363","doi":"10.1016/j.cities.2019.01.031","title":"Justice in public transport systems: A comparative study of Auckland, Brisbane, Perth and Vancouver","year":2019,"lang":"en","type":"article","venue":"Cities","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":61,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Public transport; Economic Justice; Transit system; Transit (satellite); Egalitarianism; Distribution (mathematics); Politics; Sociology; Business; Transport engineering; Public administration; Public economics; Political science; Economics; Engineering; Law","score_opus":0.06664574347230164,"score_gpt":0.31651621412993786,"score_spread":0.24987047065763623,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2911549363","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9757994,0.00036096817,0.000004434107,0.000015534382,0.00035411504,0.0004808931,0.000011911592,0.000020581652,0.0229522],"genre_scores_gemma":[0.9976118,0.0000161737,0.0000038063426,0.000010055419,0.000039694638,0.000013945518,0.0000025240256,0.0000035766818,0.002298429],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990686,0.000099443125,0.00023748861,0.00017914092,0.00024405957,0.00017126594],"domain_scores_gemma":[0.99960643,0.00008959448,0.00007022447,0.000110908295,0.00007419312,0.000048667756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035838148,0.00007877355,0.00028043558,0.00007138519,0.0000940347,0.000026947284,0.00013206697,0.000032403572,0.00010904489],"category_scores_gemma":[0.000009011408,0.000068899266,0.000022179847,0.00019487836,0.0001917898,0.00033325364,0.0000065576273,0.000082740706,0.0000026454056],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022981596,0.00014431204,0.91500455,0.00010805744,0.0000126773875,0.0000036612305,0.0838724,0.0000106987245,0.000002907205,0.0006471335,0.0001478074,0.000022811315],"study_design_scores_gemma":[0.0006258741,0.00007856307,0.63861597,0.000030036044,0.000028309683,7.763831e-8,0.35839385,0.000029413766,0.0000027907824,0.00006922483,0.002033916,0.00009199376],"about_ca_topic_score_codex":0.012038398,"about_ca_topic_score_gemma":0.18551517,"teacher_disagreement_score":0.2763886,"about_ca_system_score_codex":0.000027496786,"about_ca_system_score_gemma":0.000092848044,"threshold_uncertainty_score":0.9945405},"labels":[],"label_agreement":null},{"id":"W2911758153","doi":"10.1016/j.cstp.2019.02.006","title":"The impacts of office relocation on commuting mode shift behaviour in the context of Transportation Demand Management (TDM)","year":2019,"lang":"en","type":"article","venue":"Case Studies on Transport Policy","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Relocation; Downtown; Transport engineering; Context (archaeology); Business; Preference; TRIPS architecture; Revealed preference; Demand management; Public transport; Travel behavior; Mode choice; Mode (computer interface); Marketing; Computer science; Engineering; Geography; Economics","score_opus":0.0288339497407614,"score_gpt":0.35560566785010855,"score_spread":0.32677171810934713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2911758153","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9933811,0.0002744639,0.000009066195,0.0012520277,0.000110871035,0.00089469325,0.0000687782,0.000017698301,0.003991312],"genre_scores_gemma":[0.99922127,0.00036669412,0.000008886644,0.00021979355,0.000048010945,0.000033396438,0.000026047057,0.00001038004,0.000065532564],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982042,0.00015921758,0.0006582226,0.00022855417,0.00045366996,0.00029617242],"domain_scores_gemma":[0.99880004,0.00038231336,0.00029607586,0.00037663858,0.00010201224,0.000042920394],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014270436,0.00016249744,0.0003038529,0.00011324502,0.0004115157,0.000010938836,0.000310668,0.00006793876,0.000005775113],"category_scores_gemma":[0.00003161963,0.00010463723,0.00013606342,0.00051181234,0.00040952218,0.00012400863,0.0000030274284,0.00018507423,0.000003098078],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005639448,0.0005436181,0.6291869,0.00039876418,0.0001647896,0.00015369171,0.27653491,0.00040760924,0.000028315691,0.08860622,0.000059245387,0.0033519825],"study_design_scores_gemma":[0.00087165745,0.00018273137,0.88939476,0.00021746487,0.0001200538,8.014615e-7,0.10773706,0.0000072461567,0.00041936937,0.0005754317,0.00031845784,0.0001549796],"about_ca_topic_score_codex":0.0124995485,"about_ca_topic_score_gemma":0.10360991,"teacher_disagreement_score":0.26020786,"about_ca_system_score_codex":0.00008833722,"about_ca_system_score_gemma":0.00009181567,"threshold_uncertainty_score":0.9940763},"labels":[],"label_agreement":null},{"id":"W2911808139","doi":"10.5539/ass.v15n2p151","title":"A Study on Road Safety for the Visually Challenged – Policy Implications","year":2019,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Declaration; Government (linguistics); Population; Psychology; Business; Public relations; Economic growth; Applied psychology; Political science; Environmental health; Medicine; Law","score_opus":0.0479081196015135,"score_gpt":0.40608377584547795,"score_spread":0.35817565624396447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2911808139","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36393085,0.000014129007,0.00015095153,0.03156505,0.00032629096,0.0023132109,0.00002158312,0.00009226426,0.6015857],"genre_scores_gemma":[0.9980938,0.000004096277,0.000015708487,0.00035773884,0.00055178144,0.00008719434,0.0000011351054,0.000006343518,0.0008821927],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99829984,0.00007747287,0.00018237418,0.00040058827,0.0005670679,0.00047268122],"domain_scores_gemma":[0.9992303,0.00013332612,0.00009229836,0.00028680998,0.00015316812,0.00010409561],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0019905262,0.000092852846,0.00012823883,0.000064674445,0.0035792158,0.00016332473,0.0010854553,0.000052922594,0.000057820373],"category_scores_gemma":[0.0001937516,0.00006790041,0.000092763614,0.0012276397,0.0010409578,0.0003269439,0.00004132652,0.00011395833,0.000051159117],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006269073,0.0005395403,0.07556066,0.000004257946,0.000019399538,3.294804e-7,0.14062005,3.5189078e-7,0.00022336404,0.501832,0.000149078,0.28098825],"study_design_scores_gemma":[0.0002384142,0.0001090738,0.9553957,0.000002111835,0.000009028913,2.1899044e-8,0.03209248,0.0000012865207,0.00000659709,0.0038312979,0.008218158,0.00009583566],"about_ca_topic_score_codex":0.0010428382,"about_ca_topic_score_gemma":0.0020052379,"teacher_disagreement_score":0.879835,"about_ca_system_score_codex":0.00022541029,"about_ca_system_score_gemma":0.0009165187,"threshold_uncertainty_score":0.997718},"labels":[],"label_agreement":null},{"id":"W2912038345","doi":"10.1016/j.healthplace.2019.01.015","title":"Neighborhood built environment associations with adolescents' location-specific sedentary and screen time","year":2019,"lang":"en","type":"article","venue":"Health & Place","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver Community College; University of British Columbia","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Heart, Lung, and Blood Institute; National Institutes of Health","keywords":"Screen time; Sedentary behavior; Limiting; Physical activity; Sedentary lifestyle; Time of day; Level design; Geography; Psychology; Medicine; Physical therapy; Computer science; Multimedia; Engineering","score_opus":0.013055546294633364,"score_gpt":0.2631418746474996,"score_spread":0.25008632835286626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2912038345","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98101676,0.0015563479,0.0006936813,0.010975674,0.00013108106,0.0011798915,0.00009131029,0.00010118543,0.00425408],"genre_scores_gemma":[0.9960669,0.00022915743,0.00025590017,0.00097514957,0.00011551344,0.000006899264,0.00007445648,0.000010535754,0.0022654796],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998696,0.00012299062,0.00019873382,0.00028908023,0.00037657583,0.00031658387],"domain_scores_gemma":[0.999383,0.00006155477,0.0001342548,0.00019320582,0.000029284703,0.00019872907],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005236023,0.00009684554,0.0001626341,0.00003109254,0.00042775366,0.000048342903,0.00013038421,0.00006135384,0.00062658894],"category_scores_gemma":[0.000005827902,0.0000901477,0.000019730323,0.00015900134,0.00009600502,0.00023667965,0.000015081665,0.00013538229,0.00029821592],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026043917,0.000103394676,0.9934504,0.000026876964,0.000008439767,6.798405e-7,0.0023836326,0.000019909337,0.0000061809915,0.00027206918,0.0021891186,0.0015132783],"study_design_scores_gemma":[0.0004491244,0.00006193623,0.97341156,0.00005082991,0.000006665889,2.0112368e-7,0.0004907327,0.000033688673,0.0000024843996,0.00007750591,0.025294371,0.00012087105],"about_ca_topic_score_codex":0.004661243,"about_ca_topic_score_gemma":0.002691815,"teacher_disagreement_score":0.023105253,"about_ca_system_score_codex":0.00028351197,"about_ca_system_score_gemma":0.00027701072,"threshold_uncertainty_score":0.7046436},"labels":[],"label_agreement":null},{"id":"W2912280269","doi":"10.1007/s11116-019-09981-x","title":"Investigating the capacity of continuous household travel surveys in capturing the temporal rhythms of travel demand","year":2019,"lang":"en","type":"article","venue":"Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Travel behavior; Travel survey; Variance (accounting); Econometrics; Variation (astronomy); Econometric model; Survey data collection; Multilevel model; Modal; Time-use survey; Computer science; Geography; Statistics; Transport engineering; Economics; Engineering; Mathematics","score_opus":0.04304997899308267,"score_gpt":0.2626870151804989,"score_spread":0.21963703618741626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2912280269","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99768716,0.000060068673,0.0006756739,0.0001973144,0.000092832306,0.0005073948,0.000059067497,0.000013590186,0.00070691516],"genre_scores_gemma":[0.9997477,0.000008132255,0.0000850271,0.000021716207,0.000030225137,0.000008470445,0.000021902233,0.000008929915,0.00006793038],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983719,0.0003612453,0.000531516,0.00017479903,0.00036377678,0.00019678597],"domain_scores_gemma":[0.9992317,0.0001981498,0.00028535063,0.00018077188,0.00006790964,0.000036101323],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003225211,0.000101086756,0.00025301042,0.000038790404,0.00011695352,0.000013499778,0.00023170494,0.0000864449,0.000032855285],"category_scores_gemma":[0.000030522875,0.00006663219,0.0000897493,0.00033759506,0.00044421956,0.0002126419,0.0000013007044,0.00018486122,6.6204194e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000055903347,0.000034120894,0.9489612,0.000060785205,0.000008599898,5.2555214e-7,0.046424754,0.00031412742,0.0028892362,0.0010577469,0.0000016423655,0.00024167745],"study_design_scores_gemma":[0.0003423297,0.000016421363,0.9860166,0.00005429933,0.00002079035,5.2522218e-8,0.008076895,0.000055482327,0.004390504,0.00094110897,0.0000062752742,0.00007929857],"about_ca_topic_score_codex":0.042543266,"about_ca_topic_score_gemma":0.08823433,"teacher_disagreement_score":0.045691058,"about_ca_system_score_codex":0.00001952921,"about_ca_system_score_gemma":0.00010441804,"threshold_uncertainty_score":0.9638325},"labels":[],"label_agreement":null},{"id":"W2912833500","doi":"10.1088/1755-1315/214/1/012099","title":"Multiscale Transit Oriented Development (TOD) for sustainable communities","year":2019,"lang":"en","type":"article","venue":"IOP Conference Series Earth and Environmental Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transit-oriented development; Geography; Metropolitan area; Context (archaeology); Transport engineering; Redevelopment; Regional science; Urban planning; Government (linguistics); Sustainable development; Environmental planning; Bus rapid transit; Public transport; Pedestrian; Scale (ratio); Population; Business; Political science; Engineering; Civil engineering; Cartography; Sociology","score_opus":0.015011107899372355,"score_gpt":0.23195722438519215,"score_spread":0.2169461164858198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2912833500","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99075264,0.00006473875,0.00023612929,0.00016622957,0.000092796516,0.0005563214,0.000014450584,0.00003710463,0.0080796005],"genre_scores_gemma":[0.9893385,0.000053250515,0.0010008906,0.00006387299,0.000017744353,0.000028397793,0.000024818535,0.0000053096533,0.009467191],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99855417,0.00003170894,0.00017415902,0.00028581973,0.0003722149,0.00058189884],"domain_scores_gemma":[0.9994968,0.000036733232,0.000049180675,0.00017702077,0.00003712101,0.0002031147],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.000559867,0.00012993855,0.00015162023,0.000051457766,0.0015395207,0.00019388786,0.00033436398,0.0000534696,0.0007105131],"category_scores_gemma":[0.000012485867,0.00012146085,0.00002965604,0.00016596708,0.0022511538,0.0014149107,0.00006735639,0.00008771316,0.00001828046],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000456831,0.0005004992,0.61281013,0.00029411566,0.000035598758,0.000014845568,0.21556255,0.000048015798,0.053331893,0.052223455,0.000042248612,0.06467984],"study_design_scores_gemma":[0.0008477811,0.00021875989,0.57690305,0.000036724592,0.000012410697,0.0000015038066,0.21289848,0.00015100921,0.04146355,0.0005606636,0.16638322,0.00052286894],"about_ca_topic_score_codex":0.0013347203,"about_ca_topic_score_gemma":0.003521104,"teacher_disagreement_score":0.16634098,"about_ca_system_score_codex":0.00006131548,"about_ca_system_score_gemma":0.00025791337,"threshold_uncertainty_score":0.9997603},"labels":[],"label_agreement":null},{"id":"W2913492407","doi":"10.1016/j.rtbm.2019.01.003","title":"Toward more comprehensive evaluation of traffic risks and safety strategies","year":2018,"lang":"en","type":"article","venue":"Research in Transportation Business & Management","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Transport Canada","funders":"","keywords":"Risk analysis (engineering); Transport engineering; Business; Paradigm shift; Emerging technologies; Computer security; Computer science; Engineering","score_opus":0.27571502318865065,"score_gpt":0.47195714913623904,"score_spread":0.1962421259475884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2913492407","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9924708,0.00032693398,0.00044681292,0.0009027582,0.00009963772,0.0011156398,0.000014074063,0.000028468568,0.0045948825],"genre_scores_gemma":[0.9988145,0.00071114907,0.00025061972,0.000008533538,0.00006892247,0.000046328983,0.00006268632,0.000008402203,0.000028826187],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.996996,0.0002872404,0.00042812785,0.00033796794,0.0015868101,0.00036384392],"domain_scores_gemma":[0.9979536,0.00010122818,0.00008675292,0.00017179987,0.0016131164,0.000073500654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044594193,0.00010249276,0.00017575349,0.00034430335,0.00027417572,0.000067932044,0.00021038823,0.00007263256,0.00016990457],"category_scores_gemma":[0.000020982076,0.00010245908,0.000029358971,0.0014953862,0.0010417909,0.0006485374,0.000007597382,0.00012954373,0.000003281102],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013927167,0.000982894,0.17297658,0.0026587571,0.00018750288,0.0000806436,0.117164694,0.011763653,0.00020931134,0.04383666,0.00014381668,0.6486028],"study_design_scores_gemma":[0.00080506114,0.000016359309,0.9632865,0.00013158105,0.00003835184,2.5103365e-8,0.03164178,0.00026297374,0.000025900943,0.0026871127,0.0010088964,0.00009544833],"about_ca_topic_score_codex":0.0039643957,"about_ca_topic_score_gemma":0.022321157,"teacher_disagreement_score":0.7903099,"about_ca_system_score_codex":0.00012340676,"about_ca_system_score_gemma":0.00024281254,"threshold_uncertainty_score":0.9955189},"labels":[],"label_agreement":null},{"id":"W2913834438","doi":"10.1007/s12469-019-00195-z","title":"An econometric investigation of the influence of transit passes on transit users’ behavior in Toronto","year":2019,"lang":"en","type":"article","venue":"Public Transport","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Transit (satellite); TRIPS architecture; Travel behavior; Transport engineering; Service (business); Business; Econometric model; Mode choice; Public transport; Econometrics; Economics; Marketing; Engineering","score_opus":0.024513875042392996,"score_gpt":0.2812775100874042,"score_spread":0.2567636350450112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2913834438","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995837,0.000049664337,0.000012781449,0.00039455466,0.00011814326,0.00064640463,0.00005215336,0.000029252717,0.0028600628],"genre_scores_gemma":[0.99974996,0.000023160732,0.0000318981,0.0000747975,0.000018624482,0.00002698913,0.000018933864,0.000010700466,0.000044907887],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983191,0.00010681444,0.0005375935,0.0003101634,0.00045208837,0.0002742542],"domain_scores_gemma":[0.99914384,0.00005691754,0.0001616562,0.0004005563,0.000112364076,0.00012468004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073746464,0.00013216044,0.0002934666,0.00014424312,0.000073987954,0.00001734659,0.0006161687,0.00014326711,0.0006153552],"category_scores_gemma":[0.000013589204,0.000109322275,0.00014482146,0.0009354204,0.00031744153,0.0013984827,0.0000019157603,0.00013728824,0.000001874269],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025334879,0.00020513532,0.9889883,0.00004720308,0.0000069440866,5.48685e-7,0.006584477,0.00023803022,0.0011075293,0.0018236499,7.636121e-7,0.0009720937],"study_design_scores_gemma":[0.0003745328,0.00008496085,0.9969507,0.000022927707,0.000027680317,4.636654e-8,0.0009677662,0.0000041813378,0.0011366983,0.00012318898,0.00018566979,0.000121679775],"about_ca_topic_score_codex":0.027224645,"about_ca_topic_score_gemma":0.1500001,"teacher_disagreement_score":0.12277546,"about_ca_system_score_codex":0.00015219832,"about_ca_system_score_gemma":0.00039489305,"threshold_uncertainty_score":0.9792532},"labels":[],"label_agreement":null},{"id":"W2914040223","doi":"10.1136/jech-2018-210510","title":"Neighbourhood walkability and the incidence of diabetes: an inverse probability of treatment weighting analysis","year":2019,"lang":"en","type":"article","venue":"Journal of Epidemiology & Community Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; Public Health Ontario; University of Toronto; St. Michael's Hospital","funders":"Canadian Institutes of Health Research","keywords":"Walkability; Medicine; Incidence (geometry); Neighbourhood (mathematics); Demography; Gerontology; Environmental health; Physical activity; Physical therapy","score_opus":0.07970939513712247,"score_gpt":0.3890370550932222,"score_spread":0.3093276599560997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2914040223","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99509746,0.00066414964,0.000072628565,0.0032405683,0.00008207565,0.00040105602,0.000012802513,0.0000066975376,0.00042254542],"genre_scores_gemma":[0.99729574,0.0004205027,0.0018631596,0.00036513808,0.000038560203,0.0000025272782,0.0000036075,0.000003657932,0.000007093579],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98415035,0.013226099,0.0018740512,0.0001868472,0.00019763323,0.00036503485],"domain_scores_gemma":[0.9850519,0.010755993,0.0026857932,0.0008097239,0.00043853768,0.0002580814],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.048488766,0.00013928859,0.001652245,0.00013869054,0.0004962596,0.000006730716,0.0006562432,0.00013617409,0.00009974371],"category_scores_gemma":[0.004923593,0.0000837221,0.0004059295,0.00056776707,0.0019858459,0.00036040225,0.00006620091,0.00068694534,3.2125334e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012377366,0.00038368622,0.9824296,0.00011599765,0.00022658778,5.5736386e-8,0.0123263495,0.000113310154,0.000018080296,0.0019270169,0.000004436269,0.0023310601],"study_design_scores_gemma":[0.000737266,0.00089115504,0.96282905,0.000052985026,0.0002265615,2.0832134e-7,0.004267913,0.00037005814,0.000014544413,0.030495485,0.00005643717,0.0000583076],"about_ca_topic_score_codex":0.09697694,"about_ca_topic_score_gemma":0.12621011,"teacher_disagreement_score":0.043565176,"about_ca_system_score_codex":0.0004103889,"about_ca_system_score_gemma":0.0009377829,"threshold_uncertainty_score":0.97978103},"labels":[],"label_agreement":null},{"id":"W291409104","doi":"10.1177/0145482x1110501010","title":"The Brussels Metro: Accessibility through Collaboration","year":2011,"lang":"en","type":"article","venue":"Journal of Visual Impairment & Blindness","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Process (computing); Visually impaired; Orientation and Mobility; Low vision; Orientation (vector space); Assistive technology; Disabled people; Multiple disabilities; Business; Computer science; Public relations; Psychology; Transport engineering; Human–computer interaction; Political science; Engineering; Applied psychology; Optometry; Medicine","score_opus":0.05807765049037358,"score_gpt":0.39478760991686535,"score_spread":0.3367099594264918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W291409104","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.992552,0.00049072306,0.0008557616,0.00079756044,0.0015644934,0.00032863367,0.0000039166302,0.000028953049,0.003378004],"genre_scores_gemma":[0.9984129,0.00015727051,0.00041503413,0.00013173962,0.0005915057,0.000006607852,0.0000012980281,0.000010985146,0.0002726512],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971474,0.00043436806,0.00089441927,0.00019551224,0.00092652394,0.000401771],"domain_scores_gemma":[0.9976435,0.00019202736,0.0008608876,0.00021906779,0.0008903234,0.00019424265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038709447,0.00015762285,0.00030050435,0.000071045375,0.0009973117,0.00031682267,0.00073756505,0.00012702496,0.00035468946],"category_scores_gemma":[0.00027913784,0.00009880537,0.00020923508,0.0008373988,0.00042899928,0.0020780482,0.000038107213,0.0002881651,0.000010544983],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013695033,0.008846953,0.90670943,0.000045372675,0.00021742644,0.000046937326,0.06878296,0.0000025324382,0.00039408423,0.002507026,0.0022083693,0.008869383],"study_design_scores_gemma":[0.0024587964,0.0040429537,0.8701114,0.00010610182,0.0002885646,0.0000036534896,0.06497024,0.000028508115,0.010057907,0.027584892,0.019826122,0.0005208348],"about_ca_topic_score_codex":0.0005619356,"about_ca_topic_score_gemma":0.0020898534,"teacher_disagreement_score":0.036598027,"about_ca_system_score_codex":0.00024125104,"about_ca_system_score_gemma":0.00086326414,"threshold_uncertainty_score":0.76706153},"labels":[],"label_agreement":null},{"id":"W2914152816","doi":"10.1177/0361198118821672","title":"Safe Streets for All? Analyzing Infrastructural Response to Pedestrian and Cyclist Crashes in New York City, 2009–2018","year":2019,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; McGill University","funders":"","keywords":"Pedestrian; Crash; Investment (military); Case fatality rate; Injury prevention; Business; Occupational safety and health; Demographic economics; Poison control; Distribution (mathematics); Transport engineering; Geography; Environmental health; Engineering; Medicine; Economics; Political science; Computer science","score_opus":0.1199001825218822,"score_gpt":0.42563497168532877,"score_spread":0.30573478916344654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2914152816","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98543906,0.00023339767,0.00034173398,0.011065518,0.00047503144,0.0021118196,0.000097845,0.00002035615,0.00021520918],"genre_scores_gemma":[0.9950229,0.00022630094,0.002065163,0.00008258378,0.00025963492,0.00003288819,0.000016253112,0.000036108766,0.0022581813],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99254674,0.001468794,0.0014072108,0.0005675881,0.0028390174,0.0011706655],"domain_scores_gemma":[0.99483335,0.0021831577,0.00036367765,0.00041333953,0.0013938606,0.000812594],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010144197,0.00025347713,0.0005516069,0.0012353688,0.00070875825,0.0003182205,0.0012039717,0.00024928624,0.0004931018],"category_scores_gemma":[0.0006434207,0.00020504196,0.00031611996,0.0025253987,0.00062141585,0.0009499996,0.00000878495,0.0014572522,0.000011043804],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005913429,0.000087745226,0.97216403,0.000116976575,0.000056071713,0.000020928186,0.010321727,0.00021777586,0.0018264571,0.00048627416,0.0033056762,0.0054828823],"study_design_scores_gemma":[0.0020637244,0.0005163255,0.9564961,0.00026843778,0.000031900716,7.9399214e-8,0.0050097904,0.000024251882,0.00022250078,0.004028472,0.031125925,0.00021246087],"about_ca_topic_score_codex":0.07715179,"about_ca_topic_score_gemma":0.5856494,"teacher_disagreement_score":0.5084976,"about_ca_system_score_codex":0.00037716774,"about_ca_system_score_gemma":0.0021289159,"threshold_uncertainty_score":0.9289935},"labels":[],"label_agreement":null},{"id":"W2914176811","doi":"10.1016/j.ypmed.2019.01.011","title":"Causal evaluation of urban greenway retrofit: A longitudinal study on physical activity and sedentary behavior","year":2019,"lang":"en","type":"article","venue":"Preventive Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":83,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Odds; Medicine; Physical activity; Retrofitting; Sedentary behavior; Psychological intervention; Longitudinal study; Built environment; Odds ratio; Environmental health; Baseline (sea); Gerontology; Level design; Demography; Physical therapy; Logistic regression; Civil engineering; Engineering","score_opus":0.08609698911769884,"score_gpt":0.4149422159407906,"score_spread":0.3288452268230918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2914176811","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99596953,0.000055997225,0.000013619337,0.00015880607,0.00020451516,0.0015718924,0.000007767702,0.000015882377,0.002001998],"genre_scores_gemma":[0.9992765,0.0000018080566,0.0000035955607,0.0000071227405,0.0002512151,0.000043930988,0.000006075829,0.000005720757,0.00040400628],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978631,0.00044230674,0.0001465757,0.00031933346,0.0010751162,0.00015356235],"domain_scores_gemma":[0.9993224,0.00011500371,0.00013256593,0.00018447614,0.00017068663,0.000074856776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018349502,0.0001084555,0.00028526972,0.000059072703,0.000103759456,0.000006175181,0.000116378884,0.000035923113,0.0004373551],"category_scores_gemma":[0.00008969607,0.00008394488,0.000045198518,0.00019281208,0.0002989452,0.0001864644,0.00002362002,0.00014580459,0.0000056621348],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008225798,0.0010141027,0.98326635,0.000013619167,0.0000341303,0.000002364808,0.009852773,1.8166875e-7,0.0007860855,0.00006820366,0.00003316466,0.0048467726],"study_design_scores_gemma":[0.001443615,0.00078155805,0.99351186,0.00005642499,0.00042168668,7.9874624e-8,0.0031874457,0.00003332826,0.00026008,0.00021620406,0.000010300165,0.00007744328],"about_ca_topic_score_codex":0.0037939816,"about_ca_topic_score_gemma":0.0017440817,"teacher_disagreement_score":0.01024549,"about_ca_system_score_codex":0.00008630445,"about_ca_system_score_gemma":0.00007354494,"threshold_uncertainty_score":0.573539},"labels":[],"label_agreement":null},{"id":"W2914187707","doi":"10.1016/j.pmedr.2019.100828","title":"Way2Go! Social marketing for girls' active transportation to school","year":2019,"lang":"en","type":"article","venue":"Preventive Medicine Reports","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Health Canada; Island Health; University of Victoria","funders":"University of Victoria","keywords":"Market segmentation; Focus group; Thematic analysis; Social marketing; Health promotion; Psychology; Promotion (chess); Public health; Target audience; Medical education; Advertising; Product (mathematics); Public relations; Medicine; Marketing; Sociology; Qualitative research; Nursing; Business; Political science; Social science","score_opus":0.01960238545301496,"score_gpt":0.34101693530006955,"score_spread":0.3214145498470546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2914187707","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97219664,0.00006632037,0.0018875998,0.0023375615,0.0009155401,0.0019797205,0.00001466923,0.00008446047,0.020517467],"genre_scores_gemma":[0.99179995,0.0000051768766,0.00022695489,0.00014459544,0.0009239968,0.00012616847,0.000077446166,0.000017259359,0.0066784476],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979481,0.00014515582,0.00051914493,0.0004904839,0.0005313276,0.00036579886],"domain_scores_gemma":[0.99880266,0.00020462838,0.0003262465,0.00016492742,0.00029961957,0.00020188991],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002519193,0.00014750949,0.00033627514,0.000089348854,0.0003532098,0.000018122953,0.00012725395,0.00009505068,0.001549983],"category_scores_gemma":[0.00071855006,0.0001316775,0.00014786999,0.00032119016,0.00013147749,0.000293533,0.000006378197,0.00013440788,0.0000143572315],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003024431,0.00009194353,0.9582927,0.0001302664,0.00006740177,0.000028760593,0.016957508,0.0000020802747,0.0012036588,0.00031223742,0.0037893117,0.018821646],"study_design_scores_gemma":[0.00041480485,0.000071113725,0.9641753,0.00012568542,0.000086833265,4.316783e-7,0.003163379,0.0000022546378,0.00035417377,0.0018291207,0.0296023,0.00017460891],"about_ca_topic_score_codex":0.0008551904,"about_ca_topic_score_gemma":0.0012959588,"teacher_disagreement_score":0.025812987,"about_ca_system_score_codex":0.00014483243,"about_ca_system_score_gemma":0.00022749191,"threshold_uncertainty_score":0.9993627},"labels":[],"label_agreement":null},{"id":"W2914834766","doi":"10.1186/s12942-019-0168-x","title":"Household income, active travel, and their interacting impact on body mass index in a sample of urban Canadians: a Bayesian spatial analysis","year":2019,"lang":"en","type":"article","venue":"International Journal of Health Geographics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Memorial University of Newfoundland; University of Saskatchewan","funders":"China Postdoctoral Science Foundation","keywords":"Body mass index; Neighbourhood (mathematics); Socioeconomic status; Household income; Geography; Environmental health; Multilevel model; Index (typography); Demography; Medicine; Psychology; Statistics; Population; Computer science; Sociology; Mathematics","score_opus":0.014454297758782935,"score_gpt":0.322810114055249,"score_spread":0.3083558162964661,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2914834766","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99594796,0.00013188209,0.0019567362,0.0010494937,0.0003780503,0.00015540389,0.00019266055,0.0000042538695,0.0001835412],"genre_scores_gemma":[0.99946564,0.00013814963,0.000078288795,0.00017079843,0.00012179756,0.0000012399993,0.000011553587,0.000007943559,0.000004610493],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99795073,0.00024351619,0.00079039065,0.00017085814,0.0005765897,0.00026793295],"domain_scores_gemma":[0.9978608,0.00059803406,0.00094235654,0.00010626382,0.00029500976,0.00019757381],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016534909,0.00013072572,0.00046379585,0.001403779,0.00008541926,0.00005840649,0.0003881449,0.00008798416,0.00009425132],"category_scores_gemma":[0.00016994143,0.00010414644,0.0003170322,0.0007708588,0.00011626908,0.0003583154,0.00001387343,0.0004557634,1.492702e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024994303,0.00009631809,0.9901973,0.000012171433,0.00045200228,0.0000056102554,0.0050742044,0.00026247164,0.000009713041,0.0001487927,0.0000049243577,0.00348656],"study_design_scores_gemma":[0.00050156866,0.0001773467,0.9937994,0.00014807719,0.000025811523,9.0825665e-7,0.0036046982,0.0006675747,0.000011367084,0.0008971131,0.00008081019,0.00008533855],"about_ca_topic_score_codex":0.27700347,"about_ca_topic_score_gemma":0.15445687,"teacher_disagreement_score":0.1225466,"about_ca_system_score_codex":0.00031222228,"about_ca_system_score_gemma":0.00075112644,"threshold_uncertainty_score":0.8609721},"labels":[],"label_agreement":null},{"id":"W2914858356","doi":"10.3390/ijerph16040545","title":"Examining the Walking Accessibility, Willingness, and Travel Conditions of Residents in Saudi Cities","year":2019,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"King Fahd University of Petroleum and Minerals","keywords":"Human factors and ergonomics; Suicide prevention; Injury prevention; Poison control; Occupational safety and health; Environmental health; Geography; Psychology; Transport engineering; Gerontology; Medicine; Engineering","score_opus":0.10924040698856473,"score_gpt":0.4142181697678074,"score_spread":0.30497776277924266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2914858356","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9938998,0.0008893363,0.00001328917,0.0040900055,0.000121422105,0.00013814944,0.000027047678,0.0000011408105,0.0008197996],"genre_scores_gemma":[0.99753356,0.0021170732,0.0000286084,0.000093956834,0.000087272245,0.0000017104898,0.000005239612,0.0000032983849,0.00012928073],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978886,0.00035190032,0.00040546645,0.000119792334,0.0009932608,0.00024098154],"domain_scores_gemma":[0.998993,0.00051640475,0.00019948598,0.00006806411,0.00007245964,0.0001506079],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005110434,0.000048386813,0.00013557242,0.00016671265,0.00019045357,0.00011857487,0.00036087137,0.00003567722,0.00026000096],"category_scores_gemma":[0.00021265578,0.000036072677,0.00002263812,0.000111228066,0.00070129015,0.00063290144,0.000077466015,0.00030540538,0.0000010883218],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025187886,0.0001215828,0.98528606,0.000015202737,0.000014540118,0.0000034556754,0.0060806293,4.3029547e-7,0.00019311026,0.0008657782,0.00001966387,0.007374369],"study_design_scores_gemma":[0.0003293903,0.000099872836,0.9737284,0.00007147168,7.110697e-7,0.0000023764271,0.020563915,0.000006593378,0.000018551718,0.0048826486,0.00026737768,0.000028669712],"about_ca_topic_score_codex":0.0016969993,"about_ca_topic_score_gemma":0.0010761112,"teacher_disagreement_score":0.014483285,"about_ca_system_score_codex":0.00019897611,"about_ca_system_score_gemma":0.0003485546,"threshold_uncertainty_score":0.2846828},"labels":[],"label_agreement":null},{"id":"W2915012811","doi":"10.1093/aje/kwz012","title":"Associations of Public Transportation Use With Cardiometabolic Health: A Systematic Review and Meta-Analysis","year":2019,"lang":"en","type":"review","venue":"American Journal of Epidemiology","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":63,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Economic and Social Research Council; National Institute for Health and Care Research","keywords":"Public health; Meta-analysis; Environmental health; Medicine; Body mass index; Gerontology; Public transport; Population; Confidence interval; Cohort study; Demography; Transport engineering; Engineering; Internal medicine","score_opus":0.35114720399493105,"score_gpt":0.4694160855545409,"score_spread":0.11826888155960985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2915012811","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000025115227,0.9958309,0.0010574473,0.0016088501,0.000035583773,0.0010488575,0.00037047247,0.0000066950006,0.00001605824],"genre_scores_gemma":[0.0008207294,0.9971762,0.0011280966,0.00064373127,0.000031518288,0.000034106903,0.00008996744,0.000016128764,0.00005955653],"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","domain_scores_codex":[0.9840998,0.010891221,0.0039235908,0.00031983276,0.00036983757,0.00039569923],"domain_scores_gemma":[0.9785102,0.005639956,0.014562099,0.00040775444,0.00060070015,0.00027926604],"candidate_categories":["metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.01816826,0.00030164252,0.02392228,0.00064572395,0.00011305375,0.000017188408,0.00043126475,0.00012785809,0.00006326385],"category_scores_gemma":[0.0036869005,0.00017318937,0.0037494553,0.0028048968,0.0007142932,0.00032205097,0.0000055686287,0.00041573631,0.0000012157932],"study_design_candidate":"meta_analysis","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004526094,0.000119440556,0.025734296,0.47849503,0.4735238,0.0000057112056,0.0011845671,0.000007968005,2.5322895e-9,0.0022359781,0.00017688624,0.018511787],"study_design_scores_gemma":[0.000048253165,0.00016447973,0.0025582074,0.005496945,0.95872307,0.000003965776,0.00017607032,1.5019752e-7,6.8965117e-10,0.000042898282,0.032604866,0.00018110542],"about_ca_topic_score_codex":0.0048789796,"about_ca_topic_score_gemma":0.0033099994,"teacher_disagreement_score":0.48519927,"about_ca_system_score_codex":0.00014113751,"about_ca_system_score_gemma":0.0012259748,"threshold_uncertainty_score":0.99056864},"labels":[],"label_agreement":null},{"id":"W2915115752","doi":"10.3138/cart.53.4.2018-0013","title":"Using Network Segments in the Visualization of Urban Isochrones","year":2018,"lang":"en","type":"article","venue":"Cartographica The International Journal for Geographic Information and Geovisualization","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Thematic map; Visualization; Computer science; Software; Point (geometry); Data science; Transport engineering; Geography; Data mining; Cartography; Engineering","score_opus":0.02841822193579783,"score_gpt":0.35757891362183414,"score_spread":0.3291606916860363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2915115752","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93525064,0.00030050954,0.059356693,0.0013816766,0.0018169631,0.0007472707,0.000021117205,0.000026351809,0.0010987913],"genre_scores_gemma":[0.9978861,0.00035873338,0.00015715051,0.0008324731,0.0006681264,0.000013684757,0.00006860786,0.0000048205443,0.000010306734],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982917,0.00017915288,0.00058999326,0.000087059496,0.0006446335,0.00020750091],"domain_scores_gemma":[0.9982136,0.00012741417,0.00046824702,0.00009963462,0.0010492711,0.000041864994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002566415,0.00009845918,0.00011105273,0.0003669276,0.00096213666,0.0003195627,0.00045237833,0.000086720676,0.00003474111],"category_scores_gemma":[0.00016225751,0.00006607107,0.00011321861,0.0009034619,0.00050215225,0.0011161246,0.000022643133,0.000101361016,5.53651e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001560782,0.00007007456,0.8314931,0.000024285684,0.00009355289,4.0408977e-7,0.028868733,0.00026030478,0.000031040498,0.134183,0.0012589485,0.0035604644],"study_design_scores_gemma":[0.0037050361,0.0004556008,0.6118671,0.00041664357,0.0002673573,0.000029912144,0.032063864,0.02847265,0.00015143497,0.06739821,0.2545096,0.00066261244],"about_ca_topic_score_codex":0.00043824041,"about_ca_topic_score_gemma":0.00093113317,"teacher_disagreement_score":0.25325066,"about_ca_system_score_codex":0.00002685015,"about_ca_system_score_gemma":0.00009663,"threshold_uncertainty_score":0.74000746},"labels":[],"label_agreement":null},{"id":"W2915175613","doi":"10.3390/urbansci3010025","title":"Urban Transport and Eco-Urbanism: A Global Comparative Study of Cities with a Special Focus on Five Larger Swedish Urban Regions","year":2019,"lang":"en","type":"article","venue":"Urban Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Public transport; Geography; TRIPS architecture; Economic geography; Per capita; Urban density; Urbanism; Sustainability; Sustainable transport; Economic growth; Regional science; Urban planning; Transport engineering; Population; Civil engineering; Demography; Sociology; Engineering; Economics","score_opus":0.025373248613538367,"score_gpt":0.2978675372760459,"score_spread":0.2724942886625076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2915175613","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9222164,0.00007835877,0.000022380125,0.00019283552,0.0003575702,0.0011202215,0.000068933536,0.000065834385,0.07587748],"genre_scores_gemma":[0.996751,0.0000041242874,0.00007580638,0.00006585493,0.00040303616,0.000022708084,0.0000037742977,0.000009633602,0.0026640324],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9963179,0.00012321892,0.00043740656,0.0009479312,0.0014873762,0.00068613316],"domain_scores_gemma":[0.9984831,0.00012176701,0.0002577622,0.00051365595,0.00030052752,0.0003231792],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00091880944,0.00029218136,0.0005567791,0.00015683076,0.0008280799,0.00014523361,0.0008624488,0.000079218335,0.00023413783],"category_scores_gemma":[0.00003385652,0.00023390164,0.00008668954,0.0016419718,0.0029695802,0.0009125486,0.000044575954,0.00023318699,0.000020350848],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018487198,0.00052662863,0.88727725,0.000010651999,0.00002309371,0.000015475258,0.09413336,0.0000051488614,0.000022156899,0.014896131,0.002864903,0.000040336334],"study_design_scores_gemma":[0.0015011706,0.0013134652,0.93030316,0.0000730613,0.000068783076,0.0000012514026,0.06204033,0.000023271457,0.000114374074,0.0013403059,0.002795011,0.00042582705],"about_ca_topic_score_codex":0.0034066509,"about_ca_topic_score_gemma":0.015831674,"teacher_disagreement_score":0.07453464,"about_ca_system_score_codex":0.00019491863,"about_ca_system_score_gemma":0.00071791495,"threshold_uncertainty_score":0.99974376},"labels":[],"label_agreement":null},{"id":"W2915686787","doi":"10.1016/j.jth.2019.02.006","title":"Is older adults’ physical activity during transport compensated during other activities? Comparing 4 study cohorts using GPS and accelerometer data","year":2019,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Association of Universities and Colleges of Canada; Centre Hospitalier de l’Université de Montréal","funders":"Fonds de Recherche du Québec - Santé; Health Canada; Fonds De La Recherche Scientifique - FNRS; Institut National de la Santé et de la Recherche Médicale; Canadian Institutes of Health Research; Réseau québécois de recherche sur le vieillissement; Université de Montréal; Pfizer","keywords":"Physical activity; Accelerometer; Population; Medicine; Demography; Psychology; Physical medicine and rehabilitation; Environmental health; Computer science","score_opus":0.0802024883463486,"score_gpt":0.36860848321058604,"score_spread":0.28840599486423746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2915686787","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997911,0.00010779934,0.000069764974,0.00029631273,0.00034275415,0.0010277112,0.00008388586,0.000050108545,0.00011069577],"genre_scores_gemma":[0.9992725,0.000059163696,0.00012781387,0.00008677225,0.00032933554,0.0000021912317,0.00000913769,0.000046367648,0.00006667325],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99645245,0.00022336394,0.00086832175,0.00065369834,0.0010751025,0.00072707044],"domain_scores_gemma":[0.99792236,0.00006251046,0.0008528232,0.0005843292,0.00011953472,0.00045841958],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001454423,0.00034328937,0.0012548248,0.0002182302,0.0006422379,0.000065226384,0.000688986,0.00011640746,0.00022792951],"category_scores_gemma":[0.0000047995204,0.00031376161,0.00020782862,0.0004043885,0.00020119871,0.0020703045,0.00003135288,0.00077795173,0.0000017483693],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006725192,0.0013191376,0.9657336,0.00041530663,0.00016816071,0.00005791192,0.030500686,0.000023053542,0.0007599167,0.0000015850017,0.000003842493,0.00034427454],"study_design_scores_gemma":[0.002962626,0.00014452261,0.9908834,0.00043806754,0.00014055398,0.000010250184,0.0045044264,0.00015809291,0.0003782665,0.0000052233927,0.00006897824,0.0003055876],"about_ca_topic_score_codex":0.006342011,"about_ca_topic_score_gemma":0.004180582,"teacher_disagreement_score":0.02599626,"about_ca_system_score_codex":0.0002495348,"about_ca_system_score_gemma":0.0005138773,"threshold_uncertainty_score":0.99993145},"labels":[],"label_agreement":null},{"id":"W2915979354","doi":"","title":"Accessibility, equity, and the journey to work","year":2018,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Equity (law); Work (physics); Journey to work; Regional science; Transport engineering; Sociology; Library science; Geography; Political science; Computer science; Engineering; Public transport","score_opus":0.10936678334641005,"score_gpt":0.42824135131566404,"score_spread":0.318874567969254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2915979354","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70831454,0.00016281648,0.000002994237,0.005980813,0.00055658957,0.0012312721,0.000017216056,0.000035950066,0.28369778],"genre_scores_gemma":[0.9924362,0.0026812153,0.00021214152,0.00032619233,0.0009294517,0.00017339933,0.00000769987,0.000027331856,0.0032064093],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9956469,0.0009327706,0.0006801203,0.0010929225,0.0006305237,0.0010167679],"domain_scores_gemma":[0.99696493,0.0010480528,0.000176925,0.001156259,0.00022168213,0.00043217518],"candidate_categories":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.016752182,0.00025168146,0.0005632448,0.00024549724,0.0008948503,0.0011090257,0.0025133046,0.00047272455,0.00046415033],"category_scores_gemma":[0.001616549,0.00019863062,0.0001774749,0.00035102505,0.0033538342,0.00020585129,0.005439569,0.0016740673,0.00001706769],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007175572,0.00017376944,0.67233926,0.00013435956,0.000081874,0.0000124525495,0.015069477,0.00009222223,0.0000023969117,0.0022120264,0.00074297504,0.30842164],"study_design_scores_gemma":[0.0018760704,0.00008079842,0.68651116,0.0005676702,0.000037072576,6.588596e-7,0.005047205,0.00021384064,0.000029326791,0.22716717,0.077493526,0.00097547367],"about_ca_topic_score_codex":0.0022565585,"about_ca_topic_score_gemma":0.022946753,"teacher_disagreement_score":0.30744618,"about_ca_system_score_codex":0.00078948017,"about_ca_system_score_gemma":0.0012036973,"threshold_uncertainty_score":0.99992794},"labels":[],"label_agreement":null},{"id":"W2917355472","doi":"10.29173/iq937","title":"Cycling infrastructure in the Ottawa-Gatineau area: a complex assemblage of data","year":2019,"lang":"en","type":"article","venue":"IASSIST Quarterly","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Ottawa; Carleton University","funders":"","keywords":"Cycling; Geography; Capital (architecture); Boundary (topology); Environmental resource management; Environmental planning; Regional science; Environmental science; Forestry; Archaeology","score_opus":0.05184697267623017,"score_gpt":0.3387692460648368,"score_spread":0.28692227338860665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2917355472","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97956777,0.000035897578,0.00013718489,0.000885989,0.000149493,0.00028702055,0.000064445565,0.000026062291,0.01884616],"genre_scores_gemma":[0.99907756,0.0000011503431,0.0004746314,0.0001437871,0.00010725192,0.00000418612,0.000088285335,0.000006407824,0.00009672611],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984152,0.00021082051,0.00038027257,0.00031074628,0.00042470344,0.0002582673],"domain_scores_gemma":[0.9987284,0.00023179948,0.00017315475,0.0007783046,0.000045124478,0.000043243515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011643443,0.00010943213,0.00022949807,0.00004842768,0.00013318277,0.00008694803,0.0013159283,0.00008882027,0.000440254],"category_scores_gemma":[0.00003528893,0.000077924255,0.00005789068,0.00037620013,0.00018710966,0.0005262302,0.000018469353,0.00019848769,0.000017977774],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012896067,0.00009302907,0.96116626,0.000037904338,0.0000113810975,0.000005279279,0.024863532,0.0000031158795,0.0008067062,0.0010945424,0.0016584002,0.010246941],"study_design_scores_gemma":[0.00027717472,0.000053225827,0.97833264,0.000027569162,0.000013019832,2.3513088e-7,0.012786224,0.00022925407,0.000008706882,0.00148815,0.00667564,0.00010814207],"about_ca_topic_score_codex":0.0039346674,"about_ca_topic_score_gemma":0.027745804,"teacher_disagreement_score":0.023811137,"about_ca_system_score_codex":0.000028013304,"about_ca_system_score_gemma":0.000112711285,"threshold_uncertainty_score":0.9899953},"labels":[],"label_agreement":null},{"id":"W2917760294","doi":"10.1007/s11116-019-09985-7","title":"Assessment of the transit ridership prediction errors using AVL/APC data","year":2019,"lang":"en","type":"article","venue":"Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"University of Waterloo; Korea Transport Institute; Yonsei University","keywords":"Computer science; Mode choice; Mode (computer interface); Transit (satellite); Data collection; Scale (ratio); Data mining; Market segmentation; Data quality; Regression analysis; Component (thermodynamics); Econometrics; Service (business); Transport engineering; Statistics; Engineering; Machine learning; Public transport; Geography; Mathematics","score_opus":0.08815460423002847,"score_gpt":0.3631642501689654,"score_spread":0.27500964593893695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2917760294","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9930473,0.000026628226,0.002741632,0.00026223637,0.00046095462,0.0004622019,0.00020705929,0.000040520703,0.002751447],"genre_scores_gemma":[0.9991225,0.000008995904,0.00037302094,0.000023369823,0.00005878983,0.000002305787,0.00021898017,0.0000080148675,0.0001840118],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99869233,0.00008748809,0.000314614,0.00025633036,0.0004899235,0.00015928308],"domain_scores_gemma":[0.99928206,0.0000342819,0.000146991,0.00042696533,0.00006845134,0.000041233852],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066535745,0.00008058224,0.0001335703,0.00003207825,0.00017980971,0.000016353777,0.0004170822,0.00008317388,0.00041801133],"category_scores_gemma":[0.000007030008,0.00006498596,0.00007368722,0.00030933984,0.0001344714,0.0006311064,0.0000021773017,0.00012277416,0.0000019906956],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010524935,0.000048680777,0.99215984,0.00005213055,0.000014417529,1.9826223e-7,0.0037353178,0.0007751499,0.001709547,0.0012454236,0.000014326937,0.00023442852],"study_design_scores_gemma":[0.00025907127,0.0000135783175,0.9953343,0.00003925941,0.00009021371,1.8776458e-8,0.0014690994,0.0015608966,0.00024583607,0.00034363693,0.00057418825,0.000069861424],"about_ca_topic_score_codex":0.0032033161,"about_ca_topic_score_gemma":0.012082073,"teacher_disagreement_score":0.008878757,"about_ca_system_score_codex":0.000045661054,"about_ca_system_score_gemma":0.00025388238,"threshold_uncertainty_score":0.67420805},"labels":[],"label_agreement":null},{"id":"W2917877123","doi":"10.7939/r39g5gd0j","title":"2007 Alberta Survey on Physical Activity: A Concise Report","year":2007,"lang":"en","type":"article","venue":"University of Alberta Library","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geography","score_opus":0.02023553856781402,"score_gpt":0.2565942688745253,"score_spread":0.23635873030671128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2917877123","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7432518,0.000004552408,0.000031526004,0.0005360956,0.00011483825,0.0001152912,0.00000642124,0.000028933167,0.25591055],"genre_scores_gemma":[0.92313534,0.000006047003,0.00005519168,0.000067993125,0.000109187684,3.2785874e-8,0.000051649207,0.000008777877,0.07656579],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99884844,0.0001187473,0.00010844258,0.00031871497,0.00030741224,0.00029826575],"domain_scores_gemma":[0.99812585,0.0011762468,0.00014938742,0.00030250574,0.000035473025,0.00021055747],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003752677,0.0001148902,0.00023709549,0.00007866509,0.00027296232,0.000019927562,0.0003897701,0.00011875773,0.0012203165],"category_scores_gemma":[0.00012620946,0.0001282832,0.00013914135,0.00035176968,0.00046538687,0.0009663176,0.00005607413,0.00015938385,0.000058641406],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00054509524,0.0005399659,0.9701705,0.000010171054,0.000037736598,0.00016534187,0.0128462985,0.0000011569091,0.00002134954,0.002179679,0.012051535,0.0014311703],"study_design_scores_gemma":[0.00031493403,0.000048693608,0.9313255,0.0000180185,0.000021237893,3.6778107e-7,0.0009426242,0.000009300863,0.000468429,0.00018080985,0.06649437,0.0001757294],"about_ca_topic_score_codex":0.18966076,"about_ca_topic_score_gemma":0.1106537,"teacher_disagreement_score":0.17988354,"about_ca_system_score_codex":0.00003302472,"about_ca_system_score_gemma":0.00025397295,"threshold_uncertainty_score":0.9996927},"labels":[],"label_agreement":null},{"id":"W2918285995","doi":"10.1016/j.jshs.2019.02.006","title":"The relationship between transport-to-school habits and physical activity in a sample of New Zealand adolescents","year":2019,"lang":"en","type":"article","venue":"Journal of sport and health science/Journal of Sport and Health Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":90,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Health Research Council of New Zealand; Health Research; National Heart Foundation of New Zealand; University of Otago; Lottery Health Research; Heart Foundation","keywords":"Demography; Evening; Physical activity; Medicine; Psychology; Physical therapy; Physics","score_opus":0.08059475640974453,"score_gpt":0.3953010703623585,"score_spread":0.31470631395261395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2918285995","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9889024,0.000635568,0.0000068758204,0.0095595755,0.00039615366,0.00044691534,0.0000018384507,0.000003875253,0.000046817244],"genre_scores_gemma":[0.99792475,0.0008003654,0.0005868511,0.00022291113,0.00038242323,5.4486236e-7,3.2378512e-7,0.0000066743964,0.000075152784],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9953362,0.0000027345116,0.0014555912,0.0003723508,0.001984137,0.0008489913],"domain_scores_gemma":[0.9950945,0.000023701887,0.0021155998,0.00018924839,0.0004981772,0.0020787662],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01604041,0.00018982643,0.0009113397,0.0006775394,0.001283759,0.0001367413,0.0007940198,0.00007310239,0.000007323227],"category_scores_gemma":[0.000019142428,0.00013028464,0.00010012371,0.0020136016,0.0018133789,0.0019748614,0.00005133926,0.0007625609,5.1254096e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013585322,0.00009571138,0.9902412,0.00010236157,0.000002770773,0.000004405109,0.0062707374,0.000004201223,0.0000065932472,0.0005184811,0.00004651038,0.0025711516],"study_design_scores_gemma":[0.0007874543,0.0006033557,0.9938981,0.00060553587,0.000012443028,0.000015393045,0.0013878251,0.0000089798705,0.000015318938,0.0015743496,0.0009707169,0.00012051553],"about_ca_topic_score_codex":0.0051206886,"about_ca_topic_score_gemma":0.0024360004,"teacher_disagreement_score":0.016021268,"about_ca_system_score_codex":0.0002941207,"about_ca_system_score_gemma":0.010281326,"threshold_uncertainty_score":0.99532944},"labels":[],"label_agreement":null},{"id":"W2918575487","doi":"10.1139/cjce-2017-0333","title":"Influence of latent attitudinal factors on the multimodality of post-secondary students in Toronto","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Multimodality; Latent variable; Empirical research; Psychology; Structural equation modeling; Econometrics; Computer science; Statistics; Economics; Mathematics","score_opus":0.01270128880948041,"score_gpt":0.259090879126843,"score_spread":0.24638959031736257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2918575487","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985743,0.00029267336,0.0000033466438,0.00007700258,0.00017632541,0.00010198336,0.00001435105,0.0000017963825,0.00075821916],"genre_scores_gemma":[0.9999199,0.0000094003635,0.0000062733993,0.00001879385,0.00002276867,4.1181218e-7,4.007587e-7,0.00000446355,0.00001760937],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991016,0.000032251566,0.0003356646,0.000067437475,0.00027759213,0.00018545355],"domain_scores_gemma":[0.99934614,0.000091912414,0.00014654007,0.00010778206,0.00013533687,0.00017231613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006678511,0.0000710764,0.00019294785,0.00007599287,0.00003475439,0.000014370904,0.00039989833,0.000047131118,0.0004596668],"category_scores_gemma":[0.00013122299,0.000054118325,0.0000755958,0.00010990946,0.00006281165,0.00026712322,0.0000059261824,0.00017937979,6.549302e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000065070176,0.0000148843465,0.98846114,0.000027374032,0.000018691095,0.000004953157,0.0037295697,0.007175846,0.00027570137,0.00024397913,0.000004481532,0.00003689637],"study_design_scores_gemma":[0.0001536272,0.00004429553,0.9985903,0.00013096532,0.000005831842,1.6091747e-7,0.0006786481,0.000019134914,0.00015386078,0.000017865252,0.00015282902,0.000052495587],"about_ca_topic_score_codex":0.18537498,"about_ca_topic_score_gemma":0.8528133,"teacher_disagreement_score":0.6674383,"about_ca_system_score_codex":0.0003169636,"about_ca_system_score_gemma":0.0005952541,"threshold_uncertainty_score":0.8200497},"labels":[],"label_agreement":null},{"id":"W2919280586","doi":"10.1289/isesisee.2018.p02.0020","title":"Does Climate Matter? How Temperature and Precipitation Affect the Relationship between Neighbourhood Walkability and Walking for Transportation","year":2018,"lang":"en","type":"article","venue":"ISEE Conference Abstracts","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; University of Toronto; Public Health Ontario","funders":"","keywords":"Walkability; Neighbourhood (mathematics); Demographics; Geography; Demography; Environmental health; Confidence interval; Built environment; Gerontology; Medicine; Physical activity; Ecology; Physical therapy; Mathematics","score_opus":0.04070808205473002,"score_gpt":0.31930211496778255,"score_spread":0.2785940329130525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2919280586","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99305874,0.000033121378,0.000080810554,0.005213124,0.0001602036,0.0007239481,0.0001165927,0.00004784833,0.00056563684],"genre_scores_gemma":[0.99919903,0.000014832602,0.0001854482,0.00005821358,0.00030861655,0.00004154009,0.000062409374,0.000008667337,0.000121260404],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99889356,0.00008818505,0.00022104407,0.00033765472,0.00018573811,0.0002738267],"domain_scores_gemma":[0.9983278,0.0010845099,0.00015516384,0.00013604113,0.00020055802,0.00009592931],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010455075,0.00013134658,0.00015468424,0.000031464777,0.0009787373,0.00040321663,0.00013606627,0.00015709063,0.00005055002],"category_scores_gemma":[0.00027641267,0.00007963843,0.00004098217,0.000106580796,0.00050183677,0.00078848127,0.0000054889338,0.00016059726,0.000003193451],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026362217,0.000012999727,0.98452264,0.00007736211,0.000007367735,1.748443e-7,0.010677434,7.0121416e-7,0.00025960154,0.0016555443,0.00003262388,0.0027271803],"study_design_scores_gemma":[0.00021880613,0.00003919365,0.9811713,0.00005493072,0.000053273387,5.3513283e-8,0.0019878752,0.0000016677928,0.00036396025,0.015799768,0.00018243337,0.00012674298],"about_ca_topic_score_codex":0.00024876557,"about_ca_topic_score_gemma":0.008560777,"teacher_disagreement_score":0.014144224,"about_ca_system_score_codex":0.000022177735,"about_ca_system_score_gemma":0.000068877795,"threshold_uncertainty_score":0.75277543},"labels":[],"label_agreement":null},{"id":"W2920879197","doi":"10.1177/0739456x19831064","title":"Unmet Demand for Walkable Transit-Oriented Neighborhoods in a Midsized Canadian Community: Market and Planning Implications","year":2019,"lang":"en","type":"article","venue":"Journal of Planning Education and Research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Regional Municipality of Waterloo; University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Walkability; Community design; Geography; Travel behavior; Sustainability; Preference; Transport engineering; Sample (material); Built environment; Environmental planning; Environmental health; Medicine; Economics; Political science; Engineering; Ecology; Civil engineering","score_opus":0.07710498775653947,"score_gpt":0.4438674558022637,"score_spread":0.36676246804572427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2920879197","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9889256,0.0010384421,0.000079160236,0.0030093144,0.00018144658,0.0003053593,0.000008728116,0.0000033348392,0.006448623],"genre_scores_gemma":[0.99832046,0.000060017133,0.00040781623,0.000079184996,0.0001005859,0.000009695728,0.000008018974,0.0000052716446,0.0010089367],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988053,0.0003939966,0.00023694936,0.00009368264,0.00019872273,0.00027134092],"domain_scores_gemma":[0.9986754,0.00055098813,0.000075183045,0.000090966365,0.0003430871,0.00026439896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004630095,0.000053621156,0.00014766546,0.00045395296,0.00064901554,0.000106650834,0.00015312397,0.00008005871,0.0000550796],"category_scores_gemma":[0.0003339931,0.00004778161,0.000025382458,0.0003821923,0.00012016006,0.0002504702,0.000007820001,0.00047546587,3.9176285e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007796296,0.000086498076,0.9615286,0.000052530828,0.000011363069,9.075411e-7,0.03337761,0.000006671139,0.00009745775,0.00044334,0.0027870364,0.0015300057],"study_design_scores_gemma":[0.00055294787,0.00007068487,0.937006,0.00019800678,0.000008580135,0.0000028075958,0.032925747,0.0000634135,0.000009693424,0.0024522503,0.026643958,0.00006591417],"about_ca_topic_score_codex":0.028062135,"about_ca_topic_score_gemma":0.02534008,"teacher_disagreement_score":0.024522617,"about_ca_system_score_codex":0.000120068195,"about_ca_system_score_gemma":0.0014865906,"threshold_uncertainty_score":0.99244493},"labels":[],"label_agreement":null},{"id":"W2921139466","doi":"10.24095/hpcdp.39.3.01","title":"Where are children and adults physically active and sedentary? – a rapid review of location-based studies","year":2019,"lang":"en","type":"review","venue":"Health Promotion and Chronic Disease Prevention in Canada","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":65,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Public Health Agency of Canada; University of Ottawa","funders":"Public Health Agency; Public Health Agency of Canada; Canadian Institutes of Health Research; University of Ottawa","keywords":"Context (archaeology); Physical activity; Global Positioning System; Standardization; Sedentary behavior; Geography; Psychology; Medicine; Gerontology; Demography; Physical therapy; Computer science","score_opus":0.046335289339535374,"score_gpt":0.38357003984044546,"score_spread":0.3372347505009101,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2921139466","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014497184,0.99403507,0.0000041483636,0.0014639131,0.00009656348,0.0026986096,0.0002332167,0.000008607124,0.000010146895],"genre_scores_gemma":[0.013057034,0.9862997,0.000005042802,0.00012134067,0.00005649849,0.00014530528,0.0002562342,0.000010267147,0.00004858174],"study_design_codex":"design_other","study_design_gemma":"systematic_review","domain_scores_codex":[0.99787515,0.000569659,0.0005917632,0.00042895833,0.0003167123,0.00021775287],"domain_scores_gemma":[0.9986927,0.000074972035,0.00070241274,0.00016128956,0.00012229077,0.00024635287],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040695575,0.00019803202,0.00090449484,0.000053932356,0.00016468295,0.0000129346345,0.00008996351,0.000052377047,0.00008320221],"category_scores_gemma":[0.00004392774,0.00017700199,0.00007831385,0.0002498083,0.00014697168,0.00013806649,0.000022212751,0.00016105907,3.7000893e-7],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009660385,0.000093842194,0.0030271276,0.35165808,0.00004513144,7.680859e-7,0.000099644414,1.7704647e-7,8.600399e-10,0.000022021093,0.00035447307,0.6446891],"study_design_scores_gemma":[0.0013543101,0.00020060096,0.12073677,0.79552126,0.00079246174,5.1114694e-7,0.0005599941,0.000020067791,6.086448e-8,0.00015631571,0.08014641,0.00051126716],"about_ca_topic_score_codex":0.20517987,"about_ca_topic_score_gemma":0.88373744,"teacher_disagreement_score":0.67855763,"about_ca_system_score_codex":0.0011094335,"about_ca_system_score_gemma":0.014046025,"threshold_uncertainty_score":0.9915434},"labels":[],"label_agreement":null},{"id":"W2922270400","doi":"10.1186/s12889-019-6518-6","title":"The Health and economic effects of light rail lines: design, methods, and protocol for a natural experiment","year":2019,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver Community College","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Institutes of Health","keywords":"Biostatistics; Medicine; Protocol (science); Public health; Environmental health; Natural (archaeology); Epidemiology; Alternative medicine; Pathology","score_opus":0.07397794194954461,"score_gpt":0.44565547394002386,"score_spread":0.37167753199047926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2922270400","genre_codex":"protocol","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26391077,0.007973267,0.025854917,0.055301826,0.0013673718,0.64481175,0.000015704134,0.00018493526,0.0005794378],"genre_scores_gemma":[0.6949256,0.00022986741,0.092234366,0.0024876518,0.0006642372,0.20790714,0.000010644412,0.000053128646,0.001487369],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979586,0.0008232779,0.0003915926,0.0002760297,0.00011698913,0.00043352335],"domain_scores_gemma":[0.9981674,0.0010271657,0.000269608,0.0001841404,0.000044568424,0.00030714308],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0053268103,0.0001007207,0.00028741182,0.000037789592,0.00049743167,0.00010867439,0.00017098126,0.0000509283,0.000008293971],"category_scores_gemma":[0.00022150668,0.00006589197,0.000044000102,0.00008154425,0.00014129822,0.00022297108,0.000023795219,0.00007945639,8.645101e-7],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011569776,0.0006651431,0.3997509,0.012337864,0.00011717773,3.2711526e-7,0.10976381,0.0000013544123,0.00047703768,0.050401956,0.013394758,0.4119327],"study_design_scores_gemma":[0.006083445,0.002146189,0.06444481,0.00024912387,0.0000061888886,6.7138e-7,0.007967718,0.0007730212,0.0015468843,0.0035625605,0.9127693,0.00045004906],"about_ca_topic_score_codex":0.0015920083,"about_ca_topic_score_gemma":0.0016201705,"teacher_disagreement_score":0.8993746,"about_ca_system_score_codex":0.00016834537,"about_ca_system_score_gemma":0.0029563927,"threshold_uncertainty_score":0.5244514},"labels":[],"label_agreement":null},{"id":"W2922338016","doi":"10.24095/hpcdp.39.3.01f","title":"Examen rapide des études spatialisées traitant des lieux d’activité physique et de sédentarité des enfants et des adultes","year":2019,"lang":"fr","type":"article","venue":"Promotion de la santé et prévention des maladies chroniques au Canada","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Ottawa Heart Institute; Public Health Agency of Canada; University of Ottawa","funders":"Public Health Agency of Canada","keywords":"Humanities; Political science; Art","score_opus":0.01899161824251956,"score_gpt":0.30936401398833774,"score_spread":0.2903723957458182,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2922338016","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96127206,0.007175388,0.0034408185,0.00044932085,0.00043361037,0.0011291762,0.00021590985,0.00026337666,0.02562032],"genre_scores_gemma":[0.96835506,0.016434418,0.008459573,0.00032733526,0.00028868744,0.00021623226,0.00012766421,0.00010723993,0.005683804],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9916831,0.003915135,0.000945574,0.00097489665,0.00082623446,0.0016550567],"domain_scores_gemma":[0.9970051,0.0009119027,0.0006074071,0.00043548667,0.0004946298,0.0005454395],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0040491587,0.000772933,0.000799993,0.0001793045,0.0012732841,0.00062242383,0.0006692612,0.00043894304,0.0049802465],"category_scores_gemma":[0.0004996365,0.0008155663,0.00041502222,0.0007030304,0.004237875,0.003397395,0.00013336018,0.0007074976,0.000010283018],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013932658,0.0010820754,0.84078366,0.004232513,0.00036872728,0.00006560358,0.04708431,0.00024032634,0.0027543053,0.008844098,0.00039153566,0.09401351],"study_design_scores_gemma":[0.00089344947,0.0005187296,0.91664207,0.0045107245,0.0002443149,0.000033162345,0.0060264994,0.00017933414,0.018855937,0.047392905,0.0037785876,0.0009242997],"about_ca_topic_score_codex":0.6983964,"about_ca_topic_score_gemma":0.99679846,"teacher_disagreement_score":0.29840207,"about_ca_system_score_codex":0.006069381,"about_ca_system_score_gemma":0.0044143605,"threshold_uncertainty_score":0.9994295},"labels":[],"label_agreement":null},{"id":"W2924188409","doi":"10.1177/0361198119837225","title":"Children’s Independent Trips on Weekdays and Weekends: Case Study of Québec City","year":2019,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"","keywords":"TRIPS architecture; Context (archaeology); Destinations; Geography; Demography; Names of the days of the week; Demographic economics; Psychology; Transport engineering; Sociology; Economics; Engineering","score_opus":0.09300232722677876,"score_gpt":0.4067806451463114,"score_spread":0.31377831791953265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2924188409","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953328,0.0001627727,0.00002810194,0.001451119,0.0003817089,0.0022251767,0.000053294803,0.000022004788,0.0003430386],"genre_scores_gemma":[0.99851954,0.00026550575,0.00007366133,0.000021250968,0.00018005664,0.000036796155,0.000005111022,0.0000329636,0.0008650937],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99016,0.0020917603,0.0015313628,0.00054336106,0.00488512,0.00078840746],"domain_scores_gemma":[0.9946542,0.0012355958,0.00060996594,0.0005635177,0.002463007,0.00047373265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008027189,0.0002466196,0.00060587696,0.0009504742,0.0010278939,0.00012747555,0.0010385446,0.00022038331,0.00064497587],"category_scores_gemma":[0.00017996074,0.00018671302,0.00031599586,0.001799736,0.0009393945,0.000730615,0.000008618864,0.0023014594,0.000010531617],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011802792,0.0012256217,0.9656663,0.0000870739,0.0001486199,0.0003063903,0.027105173,0.00009975009,0.00017102176,0.00038934872,0.00032742493,0.0032929908],"study_design_scores_gemma":[0.002664317,0.0016939202,0.9510228,0.00015104983,0.000067537694,0.0000012505084,0.042477913,0.0000075966345,0.00019068715,0.0005240513,0.0010282674,0.00017060719],"about_ca_topic_score_codex":0.54234254,"about_ca_topic_score_gemma":0.84998566,"teacher_disagreement_score":0.30764315,"about_ca_system_score_codex":0.00030131047,"about_ca_system_score_gemma":0.0013898207,"threshold_uncertainty_score":0.99988234},"labels":[],"label_agreement":null},{"id":"W2924995287","doi":"10.1111/josh.12743","title":"Getting at Mode Share: Comparing 3 Methods of Travel Mode Measurement for School Travel Research","year":2019,"lang":"en","type":"article","venue":"Journal of School Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute for Clinical Evaluative Sciences; SickKids Foundation; Hospital for Sick Children; British Columbia Centre of Excellence for Women's Health; Simon Fraser University; Vancouver Coastal Health","funders":"Michael Smith Health Research BC","keywords":"Observational study; Mode (computer interface); Data collection; Metric (unit); Observational methods in psychology; Mode choice; Psychology; Travel behavior; Medical education; Transport engineering; Medicine; Computer science; Statistics; Engineering; Mathematics; Operations management; Public transport","score_opus":0.3462723699115801,"score_gpt":0.5271076026993715,"score_spread":0.1808352327877914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2924995287","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9616764,0.0020823989,0.025776282,0.0042171814,0.00058200536,0.001311125,0.000027843622,0.000014339115,0.0043124296],"genre_scores_gemma":[0.9686311,0.00014234682,0.030208692,0.00015253182,0.00047518138,0.00000875055,0.0000020616174,0.000019395335,0.00035995094],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99469703,0.0009319219,0.0013523551,0.00028413915,0.0019745333,0.0007600365],"domain_scores_gemma":[0.9961831,0.00034968212,0.0008886819,0.0002611779,0.0015379027,0.0007794867],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02597258,0.00014415597,0.00073505373,0.0002718467,0.0006524622,0.000072765106,0.0006575593,0.00012703013,0.00025198108],"category_scores_gemma":[0.0010448275,0.00012524994,0.00027407124,0.0003973379,0.00012758549,0.00055246684,0.000039215607,0.00085495476,0.000010074467],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018619613,0.00067851454,0.8915339,0.0022780343,0.00026095516,0.000004603332,0.019397723,0.0010305303,0.051490583,0.0029790576,0.009778721,0.01870538],"study_design_scores_gemma":[0.004850887,0.0010888444,0.94127566,0.0017271204,0.00007560291,0.0000047666535,0.01709731,0.0055656764,0.010786575,0.013843781,0.0031699715,0.00051383075],"about_ca_topic_score_codex":0.004089494,"about_ca_topic_score_gemma":0.0023079007,"teacher_disagreement_score":0.049741697,"about_ca_system_score_codex":0.0017815094,"about_ca_system_score_gemma":0.0036401057,"threshold_uncertainty_score":0.900163},"labels":[],"label_agreement":null},{"id":"W2925712792","doi":"10.2196/12013","title":"Development of a Sensor-Based Behavioral Monitoring Solution to Support Dementia Care","year":2019,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Rigshospitalet","keywords":"Computer science; Wearable computer; Global Positioning System; Activity recognition; Smartwatch; Set (abstract data type); Data set; Wearable technology; Real-time computing; Human–computer interaction; Artificial intelligence; Embedded system; Telecommunications","score_opus":0.09001145291096786,"score_gpt":0.4218929412305277,"score_spread":0.3318814883195598,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2925712792","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979078,0.00016254107,0.00008702519,0.00028538893,0.00032776705,0.0006466689,0.000011158267,0.000041915664,0.0005297209],"genre_scores_gemma":[0.9944481,0.000010867733,0.0052321837,0.0001050277,0.00008635756,0.000027210412,0.000019267243,0.000007505555,0.000063452884],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985393,0.000055082,0.00036593157,0.00025711439,0.00033549056,0.00044704776],"domain_scores_gemma":[0.9992401,0.000014560321,0.00012635997,0.00013239113,0.00010116071,0.00038543137],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004914235,0.000094567,0.00019153822,0.000080280835,0.00039280535,0.000017813938,0.00010243254,0.00007935281,0.00007911783],"category_scores_gemma":[0.000003726178,0.000094796975,0.000030522904,0.00019213476,0.000046310604,0.0001025585,0.000014380891,0.00009840667,0.000015320993],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047502435,0.000074392876,0.95310533,0.0005064384,0.0000022723486,5.1118576e-7,0.024332222,0.0000010712016,0.00012607354,0.000032971733,0.000031167925,0.02174006],"study_design_scores_gemma":[0.00041433075,0.00018511571,0.9816366,0.000054759188,0.000022788041,4.5177444e-8,0.008995712,0.0000027739673,0.00039594437,0.000006289598,0.008162134,0.0001235156],"about_ca_topic_score_codex":0.0021322996,"about_ca_topic_score_gemma":0.0019389301,"teacher_disagreement_score":0.028531276,"about_ca_system_score_codex":0.00018376033,"about_ca_system_score_gemma":0.0014386256,"threshold_uncertainty_score":0.38657084},"labels":[],"label_agreement":null},{"id":"W2926812125","doi":"10.2139/ssrn.3040844","title":"Distributional Effects of Transport Policies on Inequalities in Access to Opportunities in Rio De Janeiro","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":35,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Inequality; Transport policy; Political science; Geography; Regional science; Mathematics; Law; Public transport","score_opus":0.05552891279666724,"score_gpt":0.35452965360469957,"score_spread":0.29900074080803235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2926812125","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99311006,0.00019462267,0.00016865347,0.0027965487,0.00012316396,0.00018174647,0.000016812326,0.000009704463,0.0033987158],"genre_scores_gemma":[0.99846256,0.0006106225,0.000005334429,0.000100410514,0.00015941764,0.00001062868,0.000005879584,0.0000074735012,0.0006376944],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99749255,0.00014548271,0.0003656429,0.00014909194,0.000392202,0.0014550101],"domain_scores_gemma":[0.9993347,0.0001126659,0.00019321531,0.00017898047,0.000060913277,0.000119503835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002581303,0.00012246826,0.00026084748,0.00019198642,0.0004316953,0.00010785818,0.0008201541,0.00009102463,0.00002670942],"category_scores_gemma":[0.0002349372,0.000115257135,0.00008993714,0.00012487663,0.00026932813,0.0006012069,0.000020072413,0.00076851214,0.000001052812],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001181006,0.00012433506,0.87661946,0.000022234735,0.000014883054,0.00001336747,0.0036107453,0.000018482326,0.000027284332,0.1175068,0.000013251436,0.0019110434],"study_design_scores_gemma":[0.00051219115,0.00012653864,0.9093409,0.000114330775,0.0000088605375,0.0000011210753,0.0032046102,9.615727e-7,0.00024107502,0.085970715,0.0003562708,0.00012243407],"about_ca_topic_score_codex":0.017390205,"about_ca_topic_score_gemma":0.16076744,"teacher_disagreement_score":0.14337724,"about_ca_system_score_codex":0.0009786149,"about_ca_system_score_gemma":0.0032834406,"threshold_uncertainty_score":0.9891531},"labels":[],"label_agreement":null},{"id":"W2927112542","doi":"10.1155/2019/7341097","title":"Determining E-Bike Drivers’ Decision-Making Mechanisms during Signal Change Interval Using the Hidden Markov Driving Model","year":2019,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Natural Science Foundation of Zhejiang Province; Natural Science Foundation of Ningbo; Government of Jiangsu Province","keywords":"Computer science; Randomness; Simulation; Hidden Markov model; Trajectory; Driving simulator; Overtaking; Decision model; Flashing; Markov chain; Transport engineering; Real-time computing; Artificial intelligence; Engineering; Machine learning; Statistics; Mathematics","score_opus":0.024349248842336968,"score_gpt":0.30949749658730746,"score_spread":0.2851482477449705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2927112542","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89861345,0.000056638615,0.10034489,0.00007015692,0.00058565004,0.00025544417,0.0000044018216,0.000021544232,0.000047824007],"genre_scores_gemma":[0.9491804,0.00003273166,0.0504715,0.000049992,0.00021775955,0.0000029138748,0.0000017832012,0.000020269155,0.000022609427],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980316,0.00006384082,0.0006512278,0.00021523578,0.00072329957,0.00031476366],"domain_scores_gemma":[0.9986961,0.00017190384,0.00068757555,0.00013783145,0.00021224105,0.000094330615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071611395,0.00015832132,0.0002852492,0.00014710524,0.00043949005,0.00007510937,0.00039389366,0.00009414741,0.00014371313],"category_scores_gemma":[0.000029347253,0.00012712009,0.00024030803,0.00025803543,0.000071867464,0.0020230936,0.0000065952954,0.0003157976,0.0000016172447],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00079811784,0.00016903058,0.51274145,0.0001428002,0.00014840133,0.00019486084,0.14931856,0.13745221,0.07461155,0.00075994746,0.0000033760098,0.12365967],"study_design_scores_gemma":[0.0019111533,0.00016334487,0.9337065,0.0019841243,0.0002654459,0.0000090188705,0.026719138,0.017829325,0.0024395676,0.014383854,0.000039900537,0.000548614],"about_ca_topic_score_codex":0.000024654535,"about_ca_topic_score_gemma":0.00072954356,"teacher_disagreement_score":0.42096505,"about_ca_system_score_codex":0.00016992922,"about_ca_system_score_gemma":0.0001219732,"threshold_uncertainty_score":0.51838064},"labels":[],"label_agreement":null},{"id":"W2927517707","doi":"10.1136/bmjopen-2018-023598","title":"Does time spent in the residential neighbourhood moderate the relationship between neighbourhood walkability and transport-related walking? a cross-sectional study from Toronto, Canada","year":2019,"lang":"en","type":"article","venue":"BMJ Open","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Brock University; St. Michael's Hospital","funders":"Social Sciences and Humanities Research Council of Canada; Canadian Institutes of Health Research","keywords":"Walkability; Neighbourhood (mathematics); Medicine; Confounding; Environmental health; Cross-sectional study; Built environment; Level design; Gerontology; Demography; Geography; Physical activity; Physical therapy","score_opus":0.047781015742707274,"score_gpt":0.36594434159367545,"score_spread":0.3181633258509682,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2927517707","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9821704,0.00003738337,0.0000022451654,0.0015437504,0.00031797463,0.0070329006,0.00013953855,0.000020998852,0.008734831],"genre_scores_gemma":[0.99797183,9.851183e-7,0.000009591862,0.00010484335,0.00021900843,0.00018227113,0.00004996682,0.000012602286,0.001448909],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9965995,0.00079717283,0.0007383857,0.0005936583,0.0009051862,0.00036610698],"domain_scores_gemma":[0.9979223,0.0011447932,0.00021921389,0.0005332606,0.00007933261,0.00010112112],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0047426624,0.00019202085,0.0003291362,0.000017744647,0.00095259625,0.0006854563,0.0012433897,0.00013640079,0.0039841416],"category_scores_gemma":[0.00017242903,0.000102241225,0.0000743424,0.00023387923,0.00019077744,0.0010362648,0.00009961847,0.00038009495,0.000016038373],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001547708,0.000115131545,0.9877153,0.0000061254723,0.000041523555,0.000006301506,0.011314273,0.0000118233265,0.0000017719186,0.0004960986,0.000035704557,0.00010114601],"study_design_scores_gemma":[0.0010449721,0.00003520755,0.98506147,0.000017913975,0.00004122093,1.7023223e-7,0.003498586,0.00003107348,0.0000026885841,0.010000905,0.0000738259,0.0001919978],"about_ca_topic_score_codex":0.97695196,"about_ca_topic_score_gemma":0.99371463,"teacher_disagreement_score":0.01676266,"about_ca_system_score_codex":0.00033145267,"about_ca_system_score_gemma":0.0009373073,"threshold_uncertainty_score":0.99692637},"labels":[],"label_agreement":null},{"id":"W2928974709","doi":"10.1177/0361198119837158","title":"Industry Stakeholder Perspectives on the Adoption of Electric Bicycles in British Columbia","year":2019,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Vancouver Community College; University of British Columbia","funders":"University of British Columbia","keywords":"Stakeholder; Government (linguistics); Business; TRIPS architecture; Sustainable transport; Marketing; Stakeholder engagement; Automotive industry; Legislation; Transport engineering; Public relations; Sustainability; Engineering; Political science","score_opus":0.11131980941199203,"score_gpt":0.3807807504422551,"score_spread":0.2694609410302631,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2928974709","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99445635,0.0002709111,0.00001716363,0.0028544702,0.00024767674,0.0013975245,0.000043144482,0.000014941886,0.00069782056],"genre_scores_gemma":[0.9973888,0.00091181835,0.00007837969,0.000034395413,0.00012945784,0.000040121708,0.0000062223094,0.00002844361,0.0013824025],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9914376,0.002085221,0.0011967596,0.00040522116,0.004066637,0.0008085769],"domain_scores_gemma":[0.9948087,0.0014685031,0.00048184444,0.0004175501,0.0026114422,0.00021196737],"candidate_categories":["research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008558213,0.00014069305,0.000408601,0.00058306626,0.00069815124,0.0002938648,0.0012707522,0.00044233436,0.0016858304],"category_scores_gemma":[0.0003402071,0.00013002017,0.0003168115,0.003798449,0.0009826313,0.0007075607,0.00000404537,0.0045582238,0.00001414636],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032249413,0.00041010542,0.98270214,0.00008403957,0.000049015947,0.000028041777,0.009990284,0.00018167228,0.0010979105,0.0016221298,0.0013005602,0.002211603],"study_design_scores_gemma":[0.0008125242,0.00033124108,0.9511644,0.00042129858,0.000017384005,6.547518e-8,0.042428024,0.000011559105,0.0002377258,0.0026641504,0.0017872516,0.00012433536],"about_ca_topic_score_codex":0.23496963,"about_ca_topic_score_gemma":0.78937685,"teacher_disagreement_score":0.55440724,"about_ca_system_score_codex":0.0003666603,"about_ca_system_score_gemma":0.0012119095,"threshold_uncertainty_score":0.99922675},"labels":[],"label_agreement":null},{"id":"W2929494129","doi":"10.1037/pspi0000191","title":"Parallel lives: Intergroup contact, threat, and the segregation of everyday activity spaces.","year":2019,"lang":"en","type":"article","venue":"Journal of Personality and Social Psychology","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":112,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Economic and Social Research Council","keywords":"Prejudice (legal term); Social psychology; Residence; PsycINFO; Outgroup; Psychology; Sociology; Demography; Political science","score_opus":0.03358349322246616,"score_gpt":0.3480288520881607,"score_spread":0.3144453588656945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2929494129","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98400396,0.00043267262,0.00014546188,0.0110842455,0.0002869318,0.00013091214,0.000005206817,0.0000035597116,0.0039070346],"genre_scores_gemma":[0.9989344,0.00025045878,0.000046776364,0.00035939107,0.00020196439,8.0726494e-7,5.019224e-7,0.0000029887992,0.00020272685],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988008,0.00046284922,0.00025465112,0.00012316176,0.00022382975,0.00013469814],"domain_scores_gemma":[0.99910134,0.00024748722,0.00042280328,0.000060394657,0.00011989593,0.000048052436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001861688,0.000076600896,0.00034396825,0.000032563337,0.00021834977,0.000033654265,0.00014228531,0.000121853474,0.00014182803],"category_scores_gemma":[0.00004746313,0.00005188873,0.00013855178,0.00007806265,0.00091063115,0.00030333485,0.000013055306,0.00026741784,9.5258565e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023144626,0.0002234063,0.8313031,0.00006959745,0.0001902204,0.0000035833882,0.129489,2.7485228e-7,0.0004371693,0.029139731,0.00042443132,0.0064050006],"study_design_scores_gemma":[0.0021727202,0.000117527954,0.97183114,0.000018190807,0.00005370532,0.0000035782093,0.009163591,0.000003911697,0.00000637349,0.015100739,0.0014593897,0.00006913587],"about_ca_topic_score_codex":0.001053389,"about_ca_topic_score_gemma":0.0010804893,"teacher_disagreement_score":0.14052802,"about_ca_system_score_codex":0.00002429259,"about_ca_system_score_gemma":0.00006993664,"threshold_uncertainty_score":0.33552584},"labels":[],"label_agreement":null},{"id":"W2930681718","doi":"10.1177/0361198119837229","title":"Biking the First Mile: Exploring a Cyclist Typology and Potential for Cycling to Transit Stations by Suburban Commuters","year":2019,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Cycling; Recreation; Transport engineering; Mile; Context (archaeology); TRIPS architecture; Transit (satellite); Geography; Poison control; Engineering; Public transport; Environmental health; Forestry","score_opus":0.12071960274048034,"score_gpt":0.40673386762724706,"score_spread":0.28601426488676673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2930681718","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96842897,0.00022453224,0.0035533747,0.024554206,0.0007436652,0.002167595,0.00015962069,0.000027759042,0.00014026568],"genre_scores_gemma":[0.997401,0.000618796,0.0008095541,0.00017858722,0.00022351071,0.00019777862,0.000027299286,0.00004378026,0.00049971486],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9942064,0.0008775799,0.0011097409,0.00045714725,0.002330484,0.0010186303],"domain_scores_gemma":[0.99517757,0.0018550929,0.00029571264,0.00040674716,0.001856889,0.00040796472],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0061641377,0.00021856789,0.00041540287,0.00053797784,0.002471552,0.00028981504,0.0012540271,0.00016566287,0.00021273381],"category_scores_gemma":[0.00017578888,0.00015951366,0.0003306773,0.0015936167,0.000996856,0.00092824944,0.00000723277,0.0014159109,0.0000087729995],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024654518,0.00030044132,0.9142521,0.00039465816,0.00024144749,0.000025743444,0.054902457,0.00178804,0.004130063,0.0057051703,0.009400659,0.0063937716],"study_design_scores_gemma":[0.001663719,0.0004563236,0.90298045,0.00026531194,0.000087119515,1.5969741e-7,0.022427807,0.000099663404,0.00053214625,0.0025837626,0.06864573,0.00025778636],"about_ca_topic_score_codex":0.023988679,"about_ca_topic_score_gemma":0.18820597,"teacher_disagreement_score":0.1642173,"about_ca_system_score_codex":0.00020356396,"about_ca_system_score_gemma":0.0004742391,"threshold_uncertainty_score":0.9988271},"labels":[],"label_agreement":null},{"id":"W2931182776","doi":"10.1123/pes.2018-0270","title":"Objectively Measured Environmental Correlates of Toddlers’ Physical Activity and Sedentary Behavior","year":2019,"lang":"en","type":"article","venue":"Pediatric Exercise Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ministry of Natural Resources and Forestry; University of Victoria; University of Alberta","funders":"Australian Research Council; Canadian Institutes of Health Research; National Heart Foundation of Australia; Heart and Stroke Foundation of Canada","keywords":"Physical activity; Sedentary behavior; Walkability; Multilevel model; Recreation; Confidence interval; Demography; Regression analysis; Linear regression; Medicine; Psychology; Physical therapy; Statistics; Ecology; Mathematics","score_opus":0.011907614401341924,"score_gpt":0.26402278813288316,"score_spread":0.25211517373154124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2931182776","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99804014,0.00019387683,0.0000050502654,0.000015544521,0.0002871649,0.0004337625,0.00001968841,0.000028203343,0.0009765796],"genre_scores_gemma":[0.9994467,0.00014954907,0.000053374228,0.0000037106527,0.0000846016,0.000010872986,9.1890735e-7,0.00000514143,0.00024514255],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99825186,0.000037264108,0.0001210231,0.00043973324,0.00083407847,0.00031601664],"domain_scores_gemma":[0.99941903,0.0000735347,0.00011598015,0.00018697171,0.00003601023,0.0001684484],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062117324,0.000110560635,0.00021106482,0.00010391441,0.0003372269,0.00004265536,0.00036882205,0.000052351017,0.000105551364],"category_scores_gemma":[0.000030788666,0.00010247552,0.00006455446,0.0005920604,0.0010883312,0.0008871548,0.00007396963,0.0001305174,0.000026381345],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022350589,0.0002600512,0.986349,0.000010956872,0.0000010080139,0.0000011023726,0.0034847865,0.0000012333613,0.0053001456,0.000021671658,0.0000032360936,0.004544496],"study_design_scores_gemma":[0.00019650703,0.000033874312,0.99599236,0.00000483425,0.00006636952,1.6218219e-7,0.00084160385,0.000047079815,0.0025518674,0.00013136533,0.000004976413,0.00012901773],"about_ca_topic_score_codex":0.0009994823,"about_ca_topic_score_gemma":0.00006231461,"teacher_disagreement_score":0.0096433805,"about_ca_system_score_codex":0.00008125692,"about_ca_system_score_gemma":0.00023682513,"threshold_uncertainty_score":0.41788304},"labels":[],"label_agreement":null},{"id":"W2931860441","doi":"10.1186/s12889-018-6339-z","title":"INTERACT: A comprehensive approach to assess urban form interventions through natural experiments","year":2019,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal; University of British Columbia; University of Toronto; Université du Québec à Trois-Rivières; Memorial University of Newfoundland; Université de Montréal; University of Saskatchewan; Simon Fraser University","funders":"Canadian Institutes of Health Research; Institut National de Santé Publique du Québec","keywords":"Psychological intervention; Public health; Biostatistics; Urban planning; Built environment; Natural experiment; Medicine; Environmental planning; Environmental health; Gerontology; Geography; Ecology; Nursing","score_opus":0.22924562270536197,"score_gpt":0.4438678421674392,"score_spread":0.2146222194620772,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2931860441","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9317065,0.0005763184,0.0084411,0.003250293,0.0015806748,0.001627319,0.000024439787,0.00019605533,0.052597303],"genre_scores_gemma":[0.99007666,0.0000069886983,0.004902736,0.0017355394,0.00019154139,0.00007590862,0.000081888764,0.000014337368,0.0029144275],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976309,0.00027563312,0.00048498795,0.0004467247,0.00045569957,0.00070608425],"domain_scores_gemma":[0.9988006,0.00009253916,0.00017486082,0.0003587138,0.00018353613,0.00038976758],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080090103,0.00015253083,0.00032144325,0.00009946422,0.00042344056,0.0002600377,0.00055667065,0.000074829724,0.00033950817],"category_scores_gemma":[0.00008318299,0.00013763044,0.00021495049,0.0005345485,0.000093374096,0.001244032,0.00008442805,0.00024792115,0.0001307507],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042930107,0.0017170173,0.79016536,0.0007116956,0.00006370246,8.482216e-7,0.12699115,0.0000022335573,0.000036265235,0.057235464,0.018702604,0.004330745],"study_design_scores_gemma":[0.0010139205,0.0001864824,0.5627744,0.00017970559,0.00000768762,8.036577e-7,0.045525312,0.00012978136,0.000022656473,0.000692271,0.38898417,0.00048278333],"about_ca_topic_score_codex":0.004583779,"about_ca_topic_score_gemma":0.0022516628,"teacher_disagreement_score":0.37028158,"about_ca_system_score_codex":0.000488523,"about_ca_system_score_gemma":0.00088458526,"threshold_uncertainty_score":0.6929333},"labels":[],"label_agreement":null},{"id":"W2931949955","doi":"10.1177/0361198119838978","title":"Enriching Travel Demand Forecasting Models with a Household Typology","year":2019,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Typology; TRIPS architecture; Demand forecasting; Travel behavior; Trip generation; Scale (ratio); Demand patterns; Demand management; Demand characteristics; Economics; Microeconomics; Geography; Transport engineering; Psychology; Operations management; Engineering","score_opus":0.17049042780136198,"score_gpt":0.387568363244314,"score_spread":0.217077935442952,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2931949955","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9894808,0.00020071342,0.003095073,0.0022153896,0.0004421134,0.0013240499,0.00003877942,0.000036092595,0.003167008],"genre_scores_gemma":[0.9960802,0.0003585098,0.0017220543,0.00005420397,0.0002485746,0.000038091075,0.000009778978,0.000056730467,0.0014318537],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.991073,0.0016206327,0.0012225618,0.00051824574,0.0042943973,0.0012711331],"domain_scores_gemma":[0.9945413,0.0013429024,0.0005196511,0.00047503295,0.002643728,0.0004773855],"candidate_categories":["sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.008119415,0.00025601167,0.0005521537,0.0008120954,0.0013095794,0.0002019821,0.0014068312,0.0002725877,0.00044536227],"category_scores_gemma":[0.00012017282,0.00018023641,0.0003497606,0.0023928147,0.0011772605,0.0015396365,0.000005851289,0.0025905657,0.000013541981],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017336113,0.00024705756,0.95846456,0.00020586811,0.00014162634,0.00011698006,0.017342435,0.0041867727,0.00085258216,0.014281322,0.00062147895,0.0018056905],"study_design_scores_gemma":[0.0021029634,0.00065096683,0.9623079,0.00043211086,0.000073909,4.636131e-7,0.01622949,0.0003640171,0.0003756923,0.013741191,0.0034224652,0.00029885973],"about_ca_topic_score_codex":0.028807681,"about_ca_topic_score_gemma":0.18330932,"teacher_disagreement_score":0.15450163,"about_ca_system_score_codex":0.0002738744,"about_ca_system_score_gemma":0.0014261357,"threshold_uncertainty_score":0.9999906},"labels":[],"label_agreement":null},{"id":"W2932005953","doi":"10.1177/0361198119839339","title":"Application of Machine Learning to Two Large-Sample Household Travel Surveys: A Characterization of Travel Modes","year":2019,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Giro (Canada); Polytechnique Montréal","funders":"","keywords":"Mode choice; TRIPS architecture; Context (archaeology); Travel behavior; Public transport; Sample (material); Random forest; Travel survey; Mode (computer interface); Transportation planning; Transport engineering; Computer science; Confusion matrix; Marketing; Business; Geography; Engineering; Machine learning","score_opus":0.08765186884221808,"score_gpt":0.38925115227776413,"score_spread":0.30159928343554604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2932005953","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9533122,0.000055154633,0.04328399,0.000826166,0.00019238803,0.0016632008,0.000493337,0.000019771544,0.00015378308],"genre_scores_gemma":[0.9979261,0.00030957191,0.00093682145,0.000018752766,0.00011528282,0.00004982445,0.00012728373,0.000048337613,0.0004680131],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9904308,0.0025588323,0.001785612,0.00045603805,0.003945444,0.00082330935],"domain_scores_gemma":[0.993477,0.001210145,0.00087444705,0.00047009424,0.0035968295,0.00037148953],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013304507,0.00022639293,0.00067532837,0.0010029183,0.00054624217,0.00006810807,0.0012296655,0.00019745289,0.00034290444],"category_scores_gemma":[0.0003174664,0.00018957088,0.00040495256,0.0030595073,0.0005283369,0.00079394144,0.0000075814046,0.0014083987,0.000008389009],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007801668,0.00039742846,0.88594276,0.0002722161,0.00007338162,0.0000032444989,0.011875446,0.0011047666,0.09288332,0.002872349,0.000021146117,0.003773777],"study_design_scores_gemma":[0.0014000399,0.00040202658,0.9787629,0.0002212804,0.000041085234,3.0668513e-8,0.004931912,0.00059790735,0.011089395,0.0010664837,0.0013134404,0.00017347302],"about_ca_topic_score_codex":0.08142228,"about_ca_topic_score_gemma":0.1298349,"teacher_disagreement_score":0.09282017,"about_ca_system_score_codex":0.00017584843,"about_ca_system_score_gemma":0.00076670176,"threshold_uncertainty_score":0.9246946},"labels":[],"label_agreement":null},{"id":"W2936137869","doi":"10.1177/0361198119839972","title":"Is it Necessary to Relax the IID Assumptions in the Logsum-Based Accessibility Analysis?","year":2019,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Multinomial logistic regression; Mixed logit; Logit; Independence (probability theory); Econometrics; Independent and identically distributed random variables; Computer science; Measure (data warehouse); Independence of irrelevant alternatives; Statistics; Mathematics; Random variable; Logistic regression; Data mining; Pareto principle","score_opus":0.1526975917714195,"score_gpt":0.4655407202721479,"score_spread":0.3128431285007284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2936137869","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92199725,0.0001304167,0.00070949015,0.0731159,0.0003849586,0.0022334103,0.00008647158,0.00001935402,0.0013227698],"genre_scores_gemma":[0.99659276,0.00021209322,0.0003212233,0.0010008854,0.00018397637,0.0001318135,0.000024586447,0.000027589735,0.001505086],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9848544,0.0047997977,0.0018058048,0.00068061874,0.0066265822,0.0012328033],"domain_scores_gemma":[0.991558,0.003418335,0.0005093012,0.0012429265,0.0028743441,0.0003971056],"candidate_categories":["sts","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.02326598,0.00028010487,0.00059016247,0.0013560117,0.0017393309,0.0005014671,0.0040158248,0.0002704112,0.002884033],"category_scores_gemma":[0.00039282316,0.00016004831,0.0008914519,0.010850657,0.0012367009,0.0011652511,0.000010585016,0.0033004216,0.00009230092],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006759195,0.000354107,0.9660461,0.000078372235,0.00015953732,0.000027419408,0.022930767,0.00182003,0.00012441455,0.00096286647,0.0061398223,0.0006806464],"study_design_scores_gemma":[0.0008170679,0.00019742137,0.95868725,0.00013404737,0.00016457884,3.0541127e-8,0.015838718,0.00012796931,0.00009481284,0.0024985727,0.021259714,0.00017983813],"about_ca_topic_score_codex":0.054889683,"about_ca_topic_score_gemma":0.5446472,"teacher_disagreement_score":0.48975754,"about_ca_system_score_codex":0.00040404056,"about_ca_system_score_gemma":0.00164654,"threshold_uncertainty_score":0.9995603},"labels":[],"label_agreement":null},{"id":"W2937572326","doi":"10.1016/j.jth.2019.03.018","title":"Impact of a public transit strike on public bicycle share use: An interrupted time series natural experiment study","year":2019,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Natural experiment; Public transport; TRIPS architecture; Population; Baseline (sea); Demographic economics; Psychological intervention; Geography; Demography; Business; Transport engineering; Engineering; Medicine; Environmental health; Economics; Political science","score_opus":0.06905516473123696,"score_gpt":0.3864106726222482,"score_spread":0.31735550789101125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2937572326","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962811,0.00032289771,0.000024314344,0.0018835404,0.00037726673,0.00079202093,0.000105245694,0.000043242828,0.00017040144],"genre_scores_gemma":[0.9993007,0.000041496816,0.000102697464,0.00010150654,0.0001533512,0.0000037248592,0.00004363699,0.000025565005,0.00022731084],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9961648,0.00042783533,0.0012885707,0.00032968717,0.0011436036,0.00064550305],"domain_scores_gemma":[0.99761283,0.000060352668,0.00080962863,0.00036110755,0.00048158114,0.0006745146],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0021960887,0.00026414287,0.00084953225,0.00036399247,0.00025913402,0.00012521142,0.0006666023,0.000114804454,0.0018118522],"category_scores_gemma":[0.000030449026,0.00020108707,0.00048190198,0.0006311893,0.00015313285,0.002930099,0.0000059379904,0.000559011,0.000007180229],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005889242,0.0024457362,0.9685097,0.000047508267,0.00018107332,0.000023044544,0.025289701,0.000018433626,0.00033396043,0.00004784249,0.00007989594,0.0024342253],"study_design_scores_gemma":[0.0014011763,0.004724446,0.9863559,0.00009847721,0.000029722672,0.000003067011,0.006416305,0.000009310462,0.000049884868,0.000023755716,0.00069778995,0.0001901354],"about_ca_topic_score_codex":0.0032803302,"about_ca_topic_score_gemma":0.0065206075,"teacher_disagreement_score":0.018873397,"about_ca_system_score_codex":0.0004872218,"about_ca_system_score_gemma":0.0021104135,"threshold_uncertainty_score":0.9991006},"labels":[],"label_agreement":null},{"id":"W2938045111","doi":"10.1016/j.jtrangeo.2019.03.013","title":"University students' transportation patterns, and the role of neighbourhood types and attitudes","year":2019,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":85,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Ryerson University","keywords":"Neighbourhood (mathematics); Travel behavior; TRIPS architecture; Residence; Psychology; Geography; Travel survey; Transport engineering; Demography; Sociology; Engineering","score_opus":0.004132382427194412,"score_gpt":0.23143353580672463,"score_spread":0.22730115337953022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2938045111","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99771076,0.0012551831,0.0000485516,0.00020511763,0.00008428993,0.00016093787,0.000024408884,0.0000060885945,0.0005046741],"genre_scores_gemma":[0.9984569,0.0013978753,0.00005969152,0.000019133766,0.000035306748,1.8064138e-7,0.0000027685696,0.0000040963278,0.00002407903],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99901456,0.000063183776,0.0002881297,0.00010889228,0.0004037505,0.00012147981],"domain_scores_gemma":[0.9993906,0.000065799555,0.00026143828,0.00008100271,0.000121406614,0.00007977578],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070983847,0.000081999824,0.0002614914,0.00011407832,0.00011883903,0.000018157994,0.00024898973,0.000060470076,0.0001078488],"category_scores_gemma":[0.000002483711,0.000058360463,0.00017721919,0.00018912056,0.0003514383,0.00034301632,0.000002531662,0.00014285468,2.349092e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027657763,0.00008014312,0.99254507,0.00003893261,0.000112439615,0.0000049915807,0.0044948948,0.0000033232081,0.000032866676,0.0011945504,7.68645e-7,0.0012154708],"study_design_scores_gemma":[0.0013302163,0.00006026497,0.99321485,0.000052446685,0.00018410206,4.3521462e-7,0.0031752917,6.412598e-7,0.000039385464,0.0007826021,0.0010945227,0.000065230226],"about_ca_topic_score_codex":0.0018160765,"about_ca_topic_score_gemma":0.002872582,"teacher_disagreement_score":0.001319603,"about_ca_system_score_codex":0.0000059997715,"about_ca_system_score_gemma":0.000044084747,"threshold_uncertainty_score":0.27453765},"labels":[],"label_agreement":null},{"id":"W2938322143","doi":"","title":"Potential impact of autonomous vehicles on movement behaviour: A scoping review","year":2018,"lang":"en","type":"review","venue":"Journal of Exercise, Movement, and Sport (SCAPPS refereed abstracts repository)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Public transport; Mode (computer interface); Movement (music); Built environment; Psychology; Thematic analysis; Mode choice; Applied psychology; Qualitative research; Transport engineering; Computer science; Engineering; Sociology; Human–computer interaction","score_opus":0.031158000306483254,"score_gpt":0.3360130413576003,"score_spread":0.30485504105111705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2938322143","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.061435964,0.9329336,0.0000026690893,0.000020343174,0.0008545254,0.0019925432,0.000040703148,0.000029678215,0.0026899572],"genre_scores_gemma":[0.032847576,0.965178,0.00008633782,0.000047808866,0.00085748103,0.000029380964,0.000031132913,0.0000626361,0.0008596137],"study_design_codex":"design_other","study_design_gemma":"systematic_review","domain_scores_codex":[0.9927455,0.00014166626,0.0042198244,0.0006701694,0.0015493121,0.0006735076],"domain_scores_gemma":[0.9912786,0.00007522489,0.0066803875,0.0006521455,0.00069687306,0.0006167724],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0023937079,0.00077231927,0.0037613942,0.00046608088,0.00047695512,0.0002094098,0.00090092066,0.00054748455,0.00017804833],"category_scores_gemma":[0.000053178566,0.0005621961,0.0020129397,0.00040384824,0.00041065263,0.0005638227,0.00007911888,0.0008393444,0.000005457969],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011818442,0.007324825,0.05938648,0.3166625,0.0041511753,0.0029384634,0.0023413398,0.000040216666,0.00012382967,0.00019083337,0.010807178,0.5948513],"study_design_scores_gemma":[0.0011879522,0.0014416848,0.07406766,0.8829555,0.007349147,0.000033003842,0.00024440076,7.490548e-7,0.00013046507,0.00017757494,0.030886423,0.0015254372],"about_ca_topic_score_codex":0.0015732192,"about_ca_topic_score_gemma":0.00010201222,"teacher_disagreement_score":0.5933259,"about_ca_system_score_codex":0.00055697164,"about_ca_system_score_gemma":0.0024645915,"threshold_uncertainty_score":0.99968296},"labels":[],"label_agreement":null},{"id":"W2938642619","doi":"10.1155/2019/7871426","title":"Decision Support Framework for Cycling Investment Prioritization","year":2019,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Ranking (information retrieval); Context (archaeology); Prioritization; Decision support system; Computer science; Multiple-criteria decision analysis; Operations research; Variety (cybernetics); Decision analysis; Risk analysis (engineering); Investment (military); Cycling; Cost–benefit analysis; Management science; Environmental economics; Process management; Business; Engineering; Economics; Data mining; Machine learning","score_opus":0.01610508377144843,"score_gpt":0.33626702428371463,"score_spread":0.3201619405122662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2938642619","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8439904,0.00010333097,0.15374969,0.00020095085,0.0012844983,0.00038717777,0.000008721576,0.000016911212,0.00025832423],"genre_scores_gemma":[0.88853735,0.00010543759,0.110839516,0.00015093132,0.0002386475,0.0000045267593,0.000026467853,0.000010995008,0.000086118765],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99861425,0.000022365057,0.00059992843,0.00014079973,0.00044620893,0.00017642659],"domain_scores_gemma":[0.99871814,0.00023297004,0.00048233796,0.000090941045,0.00037326405,0.000102359285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006152843,0.00008575411,0.00020544833,0.000092114446,0.00013661478,0.00003081291,0.00014578967,0.000104032304,0.00013622],"category_scores_gemma":[0.00011539588,0.00008022514,0.00015694572,0.00021469238,0.00003904575,0.0009222408,6.231614e-7,0.00013773372,0.0000042552224],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016543559,0.00041779294,0.76564837,0.00022768193,0.00008439993,0.000017439703,0.036087807,0.022092002,0.0048516677,0.08906587,0.00015516696,0.07969746],"study_design_scores_gemma":[0.001875289,0.00039839148,0.7663745,0.00032261366,0.0000988541,4.1780027e-7,0.0039650453,0.000021836957,0.0014523942,0.2050439,0.020217646,0.00022907117],"about_ca_topic_score_codex":0.000010712751,"about_ca_topic_score_gemma":0.00019871908,"teacher_disagreement_score":0.11597802,"about_ca_system_score_codex":0.000084674306,"about_ca_system_score_gemma":0.00019798067,"threshold_uncertainty_score":0.32714862},"labels":[],"label_agreement":null},{"id":"W2939018302","doi":"10.1177/0361198119841858","title":"Current State of Practice in Transit Ridership Prediction: Results from a Survey of Canadian Transit Agencies","year":2019,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto; University of Saskatchewan","funders":"","keywords":"Transit (satellite); Transport engineering; Data collection; Survey data collection; Public transport; Computer science; Business; Engineering; Statistics","score_opus":0.16291610192403952,"score_gpt":0.41399200057950203,"score_spread":0.25107589865546254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2939018302","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.991073,0.0009118587,0.00014189622,0.0028474377,0.0006676933,0.0014576407,0.002123416,0.000015363032,0.00076171145],"genre_scores_gemma":[0.9951184,0.0040942803,0.00029767628,0.000014426802,0.00008004701,0.000018150673,0.000121702906,0.000031481235,0.00022383468],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9869595,0.0040568314,0.0027015973,0.00053012295,0.004742064,0.001009873],"domain_scores_gemma":[0.9877806,0.004032756,0.0008680778,0.00056139287,0.0061874306,0.0005697587],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017726028,0.00024227516,0.00071846327,0.002312059,0.0003803861,0.00007831284,0.0013869712,0.00020184138,0.00034164297],"category_scores_gemma":[0.0011337943,0.00020691946,0.0003741082,0.006326286,0.0011539271,0.0013768615,0.0000030107308,0.002232002,0.000009018572],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0049604117,0.00037367662,0.91843724,0.00022276372,0.0001410038,0.000036971906,0.062764704,0.0018898171,0.00072484,0.00021629811,0.000909345,0.0093229255],"study_design_scores_gemma":[0.0021201451,0.0003767586,0.9796385,0.00059713895,0.000052044714,3.3194357e-8,0.00659094,0.00004597753,0.00078256446,0.00106675,0.008565542,0.0001636111],"about_ca_topic_score_codex":0.9068898,"about_ca_topic_score_gemma":0.98955214,"teacher_disagreement_score":0.082662344,"about_ca_system_score_codex":0.00042533907,"about_ca_system_score_gemma":0.005199794,"threshold_uncertainty_score":0.9697063},"labels":[],"label_agreement":null},{"id":"W2939364575","doi":"10.26881/etil.2018.79.04","title":"Hybridizing bike-sharing systems: the way to improve mobility in smart cities","year":2018,"lang":"en","type":"article","venue":"Transport Economics and Logistics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"McGill University","keywords":"Bike sharing; Computer science; Global Positioning System; Individual mobility; Range (aeronautics); Transport engineering; Public transport; Telecommunications; Engineering","score_opus":0.03844956053010576,"score_gpt":0.272633314115459,"score_spread":0.23418375358535323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2939364575","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9893174,0.0001400237,0.0011293646,0.00044200552,0.0006461282,0.00043566478,0.00008033109,0.000038592858,0.007770466],"genre_scores_gemma":[0.99880415,0.00020430046,0.00010034251,0.00015310652,0.0003489852,0.000025676401,0.000007903784,0.0000113257,0.00034418935],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986761,0.000026837011,0.0004435472,0.00040192014,0.00007479743,0.0003767937],"domain_scores_gemma":[0.99934345,0.00009033793,0.00007878591,0.0002967851,0.00005899627,0.00013161456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013086327,0.00013895708,0.0002531605,0.000051922,0.00042413294,0.00011392954,0.00033511277,0.000087860215,0.000038370617],"category_scores_gemma":[0.00003353929,0.00011609431,0.000050665003,0.000115837494,0.000689092,0.00015565017,0.000020822648,0.00013987563,0.00000831531],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000463028,0.000054783006,0.93946457,0.000056313296,0.00001662217,0.000004578112,0.008856498,0.00027056274,0.0000139573685,0.049967464,0.000024412393,0.0012239489],"study_design_scores_gemma":[0.00042256142,0.000103313,0.9326477,0.000050346844,0.000050302027,5.0308756e-7,0.0076385015,0.0024785039,0.00010024735,0.010489308,0.045536663,0.00048204616],"about_ca_topic_score_codex":0.016722579,"about_ca_topic_score_gemma":0.06707045,"teacher_disagreement_score":0.05034787,"about_ca_system_score_codex":0.00011669953,"about_ca_system_score_gemma":0.000101225996,"threshold_uncertainty_score":0.9898251},"labels":[],"label_agreement":null},{"id":"W2939697623","doi":"10.1016/j.cstp.2019.04.002","title":"Low-stress bicycling connectivity: Assessment of the network build-out in Edmonton, Canada","year":2019,"lang":"en","type":"article","venue":"Case Studies on Transport Policy","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Transport engineering; Computer science; Geography; Engineering","score_opus":0.022175042764163367,"score_gpt":0.345321173703595,"score_spread":0.3231461309394316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2939697623","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9860879,0.00030889726,0.000007688327,0.0016140152,0.000895266,0.00059001596,0.00008193313,0.000023833043,0.010390434],"genre_scores_gemma":[0.9986283,0.00008171179,0.000015943839,0.00037202847,0.00037943496,0.000019560599,0.000004406533,0.000013995365,0.00048457808],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99793106,0.0001555466,0.00052924716,0.0003681176,0.00048575178,0.00053027674],"domain_scores_gemma":[0.9989047,0.00029224576,0.00018195117,0.00040652583,0.000115057344,0.00009950186],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074109883,0.0002040197,0.0004976715,0.000050001152,0.00038366945,0.000010088225,0.000302489,0.00008452853,0.00003444111],"category_scores_gemma":[0.00006113642,0.00015440599,0.00014498223,0.00053050584,0.00034826985,0.00011379377,0.000019491137,0.0002852513,9.971792e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018625575,0.00010761758,0.9842011,0.00011682036,0.00007251343,0.00024469724,0.008356145,0.002186503,0.000016171936,0.004165824,0.00006837031,0.00044562644],"study_design_scores_gemma":[0.00063224277,0.000041564275,0.9878516,0.00034032596,0.000051605413,0.0000018814303,0.008483917,0.000022773313,0.00036793036,0.00045228252,0.0014626468,0.00029120396],"about_ca_topic_score_codex":0.73908526,"about_ca_topic_score_gemma":0.9936553,"teacher_disagreement_score":0.2545701,"about_ca_system_score_codex":0.00050001155,"about_ca_system_score_gemma":0.00184339,"threshold_uncertainty_score":0.62964934},"labels":[],"label_agreement":null},{"id":"W2940323832","doi":"10.2174/1874447801913010025","title":"Effect of Community Road Infrastructure, Socio-Demographic and Street Pattern in Promoting Walking as Sustainable Transportation Mode","year":2019,"lang":"en","type":"article","venue":"The Open Transportation Journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Greenhouse gas; Sustainable transport; Transport engineering; Land use; Neighbourhood (mathematics); Built environment; Geography; Context (archaeology); Business; Population; Poison control; Work (physics); Sustainability; Engineering; Environmental health; Civil engineering","score_opus":0.00965033707204342,"score_gpt":0.3095041322148501,"score_spread":0.2998537951428067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2940323832","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978953,0.000076483,0.00009787126,0.00025305062,0.00007334647,0.00096598634,0.00001639931,0.000013856241,0.00060770713],"genre_scores_gemma":[0.9996943,0.000057148314,0.000029847786,0.00004526436,0.000029522178,0.000012674464,0.000049006274,0.000014106207,0.00006811434],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975797,0.000954535,0.0005776361,0.00014535067,0.00040944276,0.0003333274],"domain_scores_gemma":[0.9989721,0.00021740927,0.00039932717,0.00017354287,0.00014011099,0.00009747858],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045770407,0.00015654735,0.0003289375,0.00011633831,0.00081405905,0.0001702879,0.00065094477,0.000108272245,0.0002220124],"category_scores_gemma":[0.00003317264,0.000116827665,0.000096830925,0.00041861838,0.00021395086,0.0012010838,0.000005502795,0.0007224363,7.713778e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001263438,0.000041507163,0.8977759,0.00016064155,0.000024517598,0.000007647731,0.083058216,0.00022166183,0.00014056344,0.00038942575,0.0000040381033,0.018049542],"study_design_scores_gemma":[0.001264602,0.00019869614,0.9613254,0.00012282399,0.00006305903,5.794903e-7,0.03038206,0.000034839297,0.00036514146,0.0060755047,0.00004046393,0.00012682613],"about_ca_topic_score_codex":0.028432794,"about_ca_topic_score_gemma":0.029324772,"teacher_disagreement_score":0.06354951,"about_ca_system_score_codex":0.000052480485,"about_ca_system_score_gemma":0.00018167014,"threshold_uncertainty_score":0.9883875},"labels":[],"label_agreement":null},{"id":"W2941098696","doi":"10.18757/ejtir.2018.18.1.3218","title":"Effect of land use and survey design on trip underreporting in Montreal and Toronto’s regional surveys","year":2018,"lang":"en","type":"article","venue":"European journal of transport and infrastructure research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Counterintuitive; Data collection; Land use; Transport engineering; Travel survey; Protocol (science); Survey data collection; Logit; Travel behavior; Geography; Computer science; Statistics; Engineering; Civil engineering","score_opus":0.09821697952864876,"score_gpt":0.3725730932542007,"score_spread":0.2743561137255519,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2941098696","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99774337,0.0004841202,0.00026963107,0.0000510567,0.00006956854,0.00018381522,0.000008747538,0.000003997744,0.0011857069],"genre_scores_gemma":[0.9990528,0.00056747143,0.00013500941,0.000008140388,0.00017443325,3.078332e-7,0.0000037545149,0.000012195927,0.000045856326],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9933762,0.004904608,0.0005786295,0.00022648973,0.00060966716,0.00030441023],"domain_scores_gemma":[0.99806416,0.001047441,0.00022822818,0.000108804205,0.00033123576,0.0002201177],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.029116007,0.00012951647,0.0003531692,0.00014735204,0.00023266597,0.00006838958,0.00017222155,0.00006198868,0.00005402869],"category_scores_gemma":[0.00044411424,0.00009329008,0.00004287995,0.00021487824,0.00092802645,0.00047001237,0.000013652969,0.00040797697,1.9779782e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00090006535,0.000020318414,0.9766172,0.000034549194,0.000021531489,0.00008935625,0.0028905484,0.000004458761,0.0000870537,0.000008515767,0.000091302885,0.019235061],"study_design_scores_gemma":[0.0010173008,0.0012479438,0.9969577,0.00011100962,0.000012704793,0.000007811202,0.00018564603,0.000011266119,0.000093082905,0.00011840038,0.00015498209,0.00008213143],"about_ca_topic_score_codex":0.00918047,"about_ca_topic_score_gemma":0.0306749,"teacher_disagreement_score":0.028671892,"about_ca_system_score_codex":0.000040079012,"about_ca_system_score_gemma":0.00012372747,"threshold_uncertainty_score":0.9997294},"labels":[],"label_agreement":null},{"id":"W2941663802","doi":"10.1016/j.tbs.2019.04.008","title":"Voices from the survey margins: Investigating unsolicited comments written in children’s activity-travel diaries","year":2019,"lang":"en","type":"article","venue":"Travel Behaviour and Society","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of Toronto","funders":"Canadian Institutes of Health Research; Heart and Stroke Foundation of Canada","keywords":"Psychology; Criminology","score_opus":0.028982517886562635,"score_gpt":0.2907299884550985,"score_spread":0.26174747056853587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2941663802","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978464,0.00012096105,0.000020714819,0.0007220668,0.000107057705,0.00048863183,0.00029777974,0.000031850865,0.0003644928],"genre_scores_gemma":[0.9987493,0.00010556671,0.00007506634,0.0006114408,0.0000847519,0.000014632293,0.00013659078,0.000014429365,0.00020819249],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982176,0.00036776168,0.0002543808,0.00038798142,0.00036374718,0.0004085676],"domain_scores_gemma":[0.99906045,0.00042484733,0.00011576567,0.00023142477,0.00004693073,0.00012059517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013333531,0.00018982332,0.00029510845,0.000016421995,0.00060293806,0.0002030779,0.000366808,0.00020577696,0.00010742676],"category_scores_gemma":[0.000033962133,0.00014990248,0.00011853651,0.00025785383,0.0005637253,0.0003790195,0.000049141352,0.00045040477,0.000007078263],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005796444,0.00008511752,0.96406823,0.000003986915,0.000025645102,2.4076175e-7,0.035082348,3.5458274e-7,0.00016525529,0.00007111571,0.0001346896,0.0003572023],"study_design_scores_gemma":[0.0005679187,0.000010631368,0.99000156,0.000025229303,0.000030882686,7.077131e-8,0.008806162,0.000032631622,0.00010002423,0.00020952027,0.000015682508,0.00019970772],"about_ca_topic_score_codex":0.23240517,"about_ca_topic_score_gemma":0.043326937,"teacher_disagreement_score":0.18907824,"about_ca_system_score_codex":0.00006474196,"about_ca_system_score_gemma":0.000110032255,"threshold_uncertainty_score":0.97412986},"labels":[],"label_agreement":null},{"id":"W2942655680","doi":"10.1177/0361198119844967","title":"Influence of Travel Behavior, Personal Preferences, and Lifestyle on Perceived Convenience to Amenities among Calgary Residents","year":2019,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University; Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Destinations; Context (archaeology); Travel behavior; Public transport; Sample (material); Marketing; Mode choice; Business; Psychology; Quality (philosophy); Sustainable transport; Geography; Applied psychology; Demographic economics; Transport engineering; Tourism; Sustainability; Engineering; Economics","score_opus":0.06990500183054717,"score_gpt":0.38320193632760846,"score_spread":0.3132969344970613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2942655680","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970174,0.00007001253,0.000035834695,0.000724993,0.0001902713,0.0014843171,0.00006653208,0.000014163623,0.00039652147],"genre_scores_gemma":[0.997995,0.0004225833,0.00032234442,0.000049454105,0.00007242678,0.000062613275,0.0000072552516,0.000024654672,0.0010436424],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9919914,0.0012003722,0.001122095,0.00046850683,0.004446478,0.00077114766],"domain_scores_gemma":[0.99495035,0.0009822255,0.0003928863,0.00032641453,0.0027975058,0.00055058475],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041821846,0.0002151389,0.00047681076,0.00074946636,0.0006838462,0.00011352243,0.0010432121,0.0001985147,0.00039379654],"category_scores_gemma":[0.00023164004,0.0001699656,0.00022437712,0.0013964114,0.0018318448,0.0009553915,0.000007835581,0.0015236777,0.000015595035],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008458609,0.0001939562,0.96283704,0.00015332861,0.000035468714,0.000027721775,0.031158965,0.00018689105,0.0024552373,0.0008945616,0.00013598941,0.0010749522],"study_design_scores_gemma":[0.0007501972,0.000725461,0.9857874,0.0005812652,0.0000369505,7.096827e-8,0.010369334,0.000010252788,0.0006037362,0.00065108837,0.00031653795,0.00016770966],"about_ca_topic_score_codex":0.09096662,"about_ca_topic_score_gemma":0.15313132,"teacher_disagreement_score":0.06216471,"about_ca_system_score_codex":0.00018080446,"about_ca_system_score_gemma":0.0009839191,"threshold_uncertainty_score":0.9150867},"labels":[],"label_agreement":null},{"id":"W2942712112","doi":"10.1177/0361198119844741","title":"Does One Bicycle Facility Type Fit All? Evaluating the Stated Usage of Different Types of Bicycle Facilities among Cyclists in Quebec City, Canada","year":2019,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"Luonnontieteiden ja Tekniikan Tutkimuksen Toimikunta; Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Recreation; Transport engineering; TRIPS architecture; Cycling; Sample (material); Data collection; Business; Engineering; Geography; Statistics","score_opus":0.14110097906946484,"score_gpt":0.41809621691605514,"score_spread":0.2769952378465903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2942712112","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956402,0.000104335915,0.000018944955,0.00198023,0.00041960832,0.0013249546,0.00029895786,0.000010639554,0.00020212354],"genre_scores_gemma":[0.99661714,0.00021921963,0.000060335457,0.000013269959,0.000045382818,0.000022175453,0.000027921928,0.000016252561,0.0029783023],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98983914,0.0022770572,0.0017530466,0.00038073488,0.004955426,0.00079460605],"domain_scores_gemma":[0.99362165,0.0019698965,0.000679004,0.0005192364,0.0029687604,0.0002414579],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0072654956,0.00021706671,0.0006388072,0.0004385606,0.00040030963,0.00008158155,0.0013278355,0.0001655782,0.001359033],"category_scores_gemma":[0.00047338306,0.000120796976,0.0002678376,0.0018528363,0.0014369446,0.00066048064,0.000011420515,0.0014588261,0.0000027407743],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010679562,0.00025063002,0.9786744,0.00037525324,0.000108764885,0.000008186201,0.0132462215,0.0007725606,0.003211467,0.00015459454,0.00012025649,0.0020096933],"study_design_scores_gemma":[0.00075753336,0.0002513986,0.98349816,0.00027390782,0.00003577927,7.747477e-9,0.010834507,0.000090346024,0.001916638,0.0015480987,0.00065775076,0.00013588504],"about_ca_topic_score_codex":0.9763899,"about_ca_topic_score_gemma":0.9984046,"teacher_disagreement_score":0.022014765,"about_ca_system_score_codex":0.00048426364,"about_ca_system_score_gemma":0.0026833492,"threshold_uncertainty_score":0.99955386},"labels":[],"label_agreement":null},{"id":"W2943254865","doi":"10.1080/02697459.2019.1601800","title":"An Analysis of the Influence of Smart Growth on Growth Patterns in Mid-Sized Canadian Metropolitan Areas","year":2019,"lang":"en","type":"article","venue":"Planning Practice and Research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Smart growth; Metropolitan area; Urbanization; Growth management; Economic geography; Geography; Regional science; Census; Economic growth; Urban planning; Ecology; Economics; Demography; Biology; Sociology","score_opus":0.04792741545018464,"score_gpt":0.40671508390363753,"score_spread":0.3587876684534529,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2943254865","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9902881,0.00005272969,6.407273e-7,0.0018505988,0.000027580489,0.00019642856,0.000025169054,0.000003997476,0.0075547625],"genre_scores_gemma":[0.9997614,0.000042323798,0.0000133630765,0.00008147749,0.0000148003055,0.000003897518,0.000005077983,0.0000040015675,0.0000736802],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976319,0.0008719314,0.0002108882,0.00023070305,0.0007098627,0.00034470408],"domain_scores_gemma":[0.99780214,0.0013086842,0.00010436589,0.00025135698,0.00037330523,0.00016016826],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037948259,0.0000629725,0.00020219701,0.0005738584,0.00023094755,0.000051362065,0.00039971774,0.00008073276,0.00006654072],"category_scores_gemma":[0.0016717209,0.000045272805,0.000048154052,0.0017770041,0.00028169347,0.0004800837,0.000023078786,0.00037760718,0.0000018650039],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009745702,0.00007294546,0.9916872,0.000032817126,0.0000633735,0.0000059423505,0.006449278,0.000048550934,0.00016243609,0.0013427628,0.0000076643555,0.000029601124],"study_design_scores_gemma":[0.00013953507,0.00007167097,0.98588943,0.000061038016,0.000059757822,7.229864e-8,0.013065776,0.000043007996,0.00029256952,0.0001945881,0.00012963904,0.00005291292],"about_ca_topic_score_codex":0.8455905,"about_ca_topic_score_gemma":0.4844668,"teacher_disagreement_score":0.36112368,"about_ca_system_score_codex":0.0001471985,"about_ca_system_score_gemma":0.00052029866,"threshold_uncertainty_score":0.5249404},"labels":[],"label_agreement":null},{"id":"W2943795884","doi":"10.1016/j.jth.2019.04.002","title":"Walking, trip purpose, and exposure to multiple environments: A case study of older adults in Luxembourg","year":2019,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":79,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"Canadian Institutes of Health Research; Health Canada; Université de Montréal; Institut National de la Santé et de la Recherche Médicale","keywords":"Gerontology; Medicine","score_opus":0.015055947089276354,"score_gpt":0.300127273118869,"score_spread":0.2850713260295926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2943795884","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99754703,0.0006198212,0.00005163237,0.00035450343,0.00021817534,0.0011393689,0.000011023033,0.000005554497,0.000052920357],"genre_scores_gemma":[0.9993822,0.00011737386,0.00019006674,0.00014129268,0.00006711063,0.0000036198196,0.0000012672034,0.000011821305,0.000085261316],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976017,0.00017574083,0.0010790358,0.00023946197,0.00056539074,0.00033869114],"domain_scores_gemma":[0.9988489,0.00007162324,0.00049625814,0.00017638874,0.00005245267,0.00035437164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018946043,0.00013642566,0.0005703343,0.00020318253,0.000117205025,0.000011478813,0.00020236352,0.00008066356,0.00011310732],"category_scores_gemma":[0.000018301562,0.00011837446,0.00009321922,0.00029491863,0.000056561374,0.000341322,0.0000049531805,0.00029616302,0.0000012364974],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026554937,0.0011687799,0.880863,0.00009554278,0.000016846307,0.00043767548,0.11205066,0.000026527876,0.00001826888,0.0000025987226,0.000010801786,0.005043764],"study_design_scores_gemma":[0.0035070924,0.0011812693,0.94095576,0.00020663967,0.00002035052,0.000021595124,0.053270545,0.0000020303746,0.000011421025,0.000008241199,0.00071103446,0.000104013445],"about_ca_topic_score_codex":0.016636314,"about_ca_topic_score_gemma":0.07495843,"teacher_disagreement_score":0.06009278,"about_ca_system_score_codex":0.00011999843,"about_ca_system_score_gemma":0.00027576246,"threshold_uncertainty_score":0.989912},"labels":[],"label_agreement":null},{"id":"W2944037533","doi":"10.1111/aphw.12164","title":"Predicting Transport‐Related Walking in Chinese Employees by Integrating Worksite Neighbourhood Walkability and Social Cognition","year":2019,"lang":"en","type":"article","venue":"Applied Psychology Health and Well-Being","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Walkability; Neighbourhood (mathematics); Psychological intervention; Psychology; Built environment; Perception; Theory of planned behavior; Cognition; Social cognitive theory; Applied psychology; Physical activity; Social psychology; Control (management); Physical medicine and rehabilitation; Medicine; Engineering; Computer science","score_opus":0.006619732404617629,"score_gpt":0.3028667813820621,"score_spread":0.29624704897744447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2944037533","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95781136,0.0004009006,0.000072250055,0.0018130229,0.0002078481,0.0007113566,0.0000046522628,0.000117012954,0.03886163],"genre_scores_gemma":[0.99815446,0.00016486915,0.000111386806,0.0013136575,0.00010734046,0.000029689343,0.00006274828,0.00001907817,0.000036777285],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99766403,0.00016699075,0.0006530851,0.0006751654,0.00019203575,0.0006486673],"domain_scores_gemma":[0.9992122,0.00021299509,0.00022512257,0.00011100096,0.00002839389,0.00021026765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016842546,0.00021877102,0.0004393678,0.000103973776,0.00074493093,0.000046104335,0.0001315375,0.0003298426,0.00013185739],"category_scores_gemma":[0.00002129582,0.00021073886,0.000047901583,0.00039982452,0.00029866188,0.00025125293,0.000015477448,0.0006625532,0.000005733093],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010072711,0.0000921683,0.92870575,0.000106548294,0.000012269994,0.0000012243128,0.04632693,3.09426e-7,0.00015384475,0.001828845,0.000013727277,0.022657657],"study_design_scores_gemma":[0.0015854752,0.00007333364,0.9673688,0.000082146056,0.00001378067,8.889449e-7,0.0060242945,0.000029503948,0.0000065197078,0.024323866,0.00024448632,0.00024694632],"about_ca_topic_score_codex":0.001445817,"about_ca_topic_score_gemma":0.002647674,"teacher_disagreement_score":0.04034313,"about_ca_system_score_codex":0.000054154203,"about_ca_system_score_gemma":0.000079053076,"threshold_uncertainty_score":0.85936815},"labels":[],"label_agreement":null},{"id":"W2944053927","doi":"10.1016/j.jshs.2019.05.004","title":"Differences in transportation and leisure physical activity by neighborhood design controlling for residential choice","year":2019,"lang":"en","type":"article","venue":"Journal of sport and health science/Journal of Sport and Health Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Alberta Health Services; University of Calgary","funders":"Centrum för Miljövetenskaplig Forskning, Umeå Universitet; Japan Society for the Promotion of Science; Canadian Institutes of Health Research; Ministry of Education, Culture, Sports, Science and Technology; Florence University of the Arts","keywords":"Socioeconomic status; Recreation; Walkability; Destinations; Marital status; Odds; Demography; Odds ratio; Quality of life (healthcare); Psychology; Gerontology; Geography; Environmental health; Physical activity; Medicine; Logistic regression; Sociology; Tourism; Population; Physical therapy","score_opus":0.06232938617491758,"score_gpt":0.3824648205492425,"score_spread":0.32013543437432496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2944053927","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9915022,0.0018551353,0.0001316122,0.0051933797,0.0006147238,0.00066571275,0.0000024173655,0.0000056706713,0.000029111363],"genre_scores_gemma":[0.9964886,0.0020106214,0.00087706884,0.000203053,0.00038264057,0.0000021429655,6.624534e-7,0.0000075244234,0.00002770832],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9957319,0.0000027348349,0.001282071,0.00045536086,0.0016600151,0.00086792273],"domain_scores_gemma":[0.9958143,0.000019478151,0.0023168204,0.000114344075,0.00066959055,0.0010654215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0141230775,0.00022030559,0.0011371674,0.00059953635,0.001295073,0.00028178893,0.0005985343,0.000087547945,0.000009428802],"category_scores_gemma":[0.000006172244,0.00016537221,0.0001082259,0.0010945924,0.0016979122,0.0032315108,0.000017320337,0.0005468937,1.4236878e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024743137,0.00017109748,0.9919825,0.00013494631,0.0000050925278,0.00000592679,0.004079395,0.000007510845,0.00008196603,0.0008988247,0.000038192637,0.002347072],"study_design_scores_gemma":[0.0015771651,0.00096519786,0.99349004,0.0002920045,0.00002061926,0.000013868265,0.0018440118,0.0003168654,0.00008070283,0.0009105809,0.0003306979,0.00015826858],"about_ca_topic_score_codex":0.0019244489,"about_ca_topic_score_gemma":0.0010779522,"teacher_disagreement_score":0.014116906,"about_ca_system_score_codex":0.00024781234,"about_ca_system_score_gemma":0.0063517946,"threshold_uncertainty_score":0.9992813},"labels":[],"label_agreement":null},{"id":"W2944611506","doi":"10.1007/978-3-030-14745-7_15","title":"Market Area Delineation for Airports to Predict the Spread of Infectious Disease","year":2019,"lang":"en","type":"book-chapter","venue":"Lecture notes in geoinformation and cartography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Catchment area; Attractiveness; Probabilistic logic; Geography; Population; Air travel; Infectious disease (medical specialty); Computer science; Operations research; Transport engineering; Cartography; Aviation; Engineering; Drainage basin; Disease; Environmental health; Artificial intelligence","score_opus":0.009049597822991995,"score_gpt":0.24083618782423658,"score_spread":0.23178659000124457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2944611506","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14742805,0.0033840584,0.26715368,0.0036129707,0.0021910137,0.015310049,0.001806639,0.0003544332,0.5587591],"genre_scores_gemma":[0.9968523,0.00018228182,0.00009697958,0.0004925613,0.00013551774,0.000043894932,0.00029114564,0.0000122249285,0.0018931335],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989616,0.000017448334,0.00039807917,0.00016901278,0.00029057355,0.00016322905],"domain_scores_gemma":[0.9990971,0.00017964082,0.00023877129,0.00021806611,0.0001759035,0.00009050663],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043676156,0.00017027218,0.00021907524,0.00025622692,0.000160174,0.000052069823,0.00012741315,0.00020135034,0.00013455859],"category_scores_gemma":[0.0001122001,0.00012851068,0.00018565364,0.00013673575,0.0001482179,0.00021469012,0.000015221042,0.00014774798,0.0000015058963],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036898136,0.00003723018,0.8400198,0.0005110779,0.0000994759,6.876681e-7,0.009921909,0.0012789932,0.0000016307143,0.009844625,0.0020521113,0.13586348],"study_design_scores_gemma":[0.0016150062,0.00031103267,0.49897805,0.0007895288,0.0005079526,9.807563e-7,0.00020501186,0.002241982,0.000033798922,0.077203624,0.417006,0.0011070592],"about_ca_topic_score_codex":0.00025716738,"about_ca_topic_score_gemma":0.0039465223,"teacher_disagreement_score":0.8494242,"about_ca_system_score_codex":0.000024489946,"about_ca_system_score_gemma":0.00013450586,"threshold_uncertainty_score":0.52405137},"labels":[],"label_agreement":null},{"id":"W2944735327","doi":"10.1007/s11116-019-10006-w","title":"Factors underlying the connections between active transportation and public transit at commuter rail in the Greater Toronto and Hamilton Area","year":2019,"lang":"en","type":"article","venue":"Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Public transport; Transport engineering; Transit (satellite); Socioeconomic status; Population; Land use; Business; Geography; Car ownership; Engineering; Demography; Civil engineering; Sociology","score_opus":0.09786435903586072,"score_gpt":0.31249374779055467,"score_spread":0.21462938875469395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2944735327","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99653935,0.000104171486,0.00024597932,0.0014527626,0.0000723497,0.00073842244,0.00009914053,0.00004137114,0.00070645096],"genre_scores_gemma":[0.9993565,0.000066971756,0.00000914644,0.000096320495,0.00002136436,0.00003098773,0.00031566602,0.000010839757,0.00009217214],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987183,0.00015694271,0.00028587243,0.0002836135,0.00029726463,0.0002579772],"domain_scores_gemma":[0.9993619,0.00027560283,0.00008671873,0.00016226333,0.000047494803,0.000066025204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042180522,0.00015851084,0.00019164283,0.000039289986,0.0006010656,0.00009358212,0.0001647162,0.000123101,0.00023297513],"category_scores_gemma":[0.0000039855017,0.0001009441,0.00006594007,0.00018983411,0.00023964717,0.0009554439,7.066394e-7,0.00016794901,0.0000014863201],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023739698,0.00001906793,0.83669096,0.000017316392,0.000018932837,6.846616e-7,0.16160627,0.0000045416446,0.00008576122,0.0006977346,0.0000043000728,0.0008307097],"study_design_scores_gemma":[0.00045464217,0.000032006654,0.9594818,0.000015069112,0.000071022085,5.910391e-8,0.038416497,0.0000077945915,0.00004894958,0.00040914438,0.0009324189,0.00013059081],"about_ca_topic_score_codex":0.015155022,"about_ca_topic_score_gemma":0.5451129,"teacher_disagreement_score":0.5299579,"about_ca_system_score_codex":0.0000933855,"about_ca_system_score_gemma":0.0000358265,"threshold_uncertainty_score":0.99140316},"labels":[],"label_agreement":null},{"id":"W2944890929","doi":"","title":"Evaluation of the Canadian School Travel Planning Intervention","year":2012,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Cape Breton University; Dalhousie University; University of Toronto","funders":"","keywords":"Intervention (counseling); General partnership; Logistic regression; Psychology; Geography; Medicine; Political science; Nursing","score_opus":0.10323570590658562,"score_gpt":0.3852464814896572,"score_spread":0.2820107755830715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2944890929","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8161829,0.000105071114,0.00004360704,0.00020925206,0.00022861152,0.0001230108,0.0000011288951,0.0000045018537,0.18310189],"genre_scores_gemma":[0.9992004,1.8709505e-7,0.000018531351,0.000031359137,0.00008170939,0.0000034904597,0.0000011909061,0.0000012084746,0.0006619417],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992185,0.00014207541,0.00008793741,0.00003936778,0.00038933588,0.00012278532],"domain_scores_gemma":[0.99968743,0.000008124716,0.000034614735,0.000066159424,0.00011312622,0.000090553505],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00315501,0.000021956226,0.000031087107,0.000020791571,0.00022237276,0.0000137928,0.00010117406,0.000033875483,0.0018301853],"category_scores_gemma":[0.00015224557,0.000015026786,0.000040572173,0.00010615702,0.00005757933,0.00021332754,0.0000028623315,0.0000418474,0.0000074923937],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[4.6116187e-7,0.000012676365,0.99305683,0.0000014964439,0.0000034822272,6.4954606e-9,0.0027897249,0.0000023755326,0.000017168548,0.0012251727,0.0001604098,0.002730209],"study_design_scores_gemma":[0.000067720495,0.000001428263,0.9963368,0.0000095559935,0.000026385478,8.606608e-9,0.0018720814,0.00004020355,0.00022190544,0.00093725655,0.0004650004,0.000021653826],"about_ca_topic_score_codex":0.5822955,"about_ca_topic_score_gemma":0.9133846,"teacher_disagreement_score":0.33108917,"about_ca_system_score_codex":0.00017104513,"about_ca_system_score_gemma":0.00035375898,"threshold_uncertainty_score":0.99908227},"labels":[],"label_agreement":null},{"id":"W2945051179","doi":"10.1007/s00607-019-00771-y","title":"On cycling risk and discomfort: urban safety mapping and bike route recommendations","year":2019,"lang":"en","type":"preprint","venue":"Computing","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"University of Leeds","keywords":"Cycling; Transport engineering; Bike sharing; Artifact (error); Business; Computer science; Engineering; Geography","score_opus":0.03172444649453365,"score_gpt":0.31484882983828555,"score_spread":0.2831243833437519,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2945051179","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9670776,0.0005130083,0.020934952,0.00062559656,0.0012640108,0.00047773414,0.000072878756,0.00013611972,0.008898086],"genre_scores_gemma":[0.99667585,0.00027908897,0.0021411842,0.00008712548,0.00044320908,0.000002260533,0.00009633389,0.00001623298,0.0002587443],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982551,0.00019033815,0.00041925625,0.00062106195,0.0001930654,0.00032122261],"domain_scores_gemma":[0.9986783,0.00052744005,0.000359836,0.0002884335,0.00002813535,0.00011782132],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013112525,0.00020730987,0.0003399475,0.000098360826,0.0011841321,0.00029399336,0.0002529863,0.0002035509,0.000024927125],"category_scores_gemma":[0.00011706075,0.00020780283,0.00008425192,0.00012537335,0.00017790006,0.00012341831,0.0003803025,0.00075119094,0.0000025973654],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000074249015,0.0000257264,0.9356333,0.000099996054,0.000033396704,0.0000012228206,0.013191122,0.00054638716,0.0000016602944,0.0013608424,0.00016109661,0.048937835],"study_design_scores_gemma":[0.00064181315,0.000029171317,0.9315746,0.0018440171,0.00012773203,4.0838242e-7,0.0040386724,0.024173606,0.000007020615,0.017557038,0.019060122,0.0009458373],"about_ca_topic_score_codex":0.0018175667,"about_ca_topic_score_gemma":0.00070452737,"teacher_disagreement_score":0.047991995,"about_ca_system_score_codex":0.00009822036,"about_ca_system_score_gemma":0.0001114063,"threshold_uncertainty_score":0.9107506},"labels":[],"label_agreement":null},{"id":"W2945095917","doi":"10.3390/ijerph16101780","title":"Public Libraries and Walkable Neighborhoods","year":2019,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Exploratory research; Public relations; Public health; Destinations; Qualitative research; Sociology; Work (physics); Principal (computer security); Political science; Medicine; Social science; Engineering; Nursing; Computer science","score_opus":0.10417570777957655,"score_gpt":0.38579038226509815,"score_spread":0.2816146744855216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2945095917","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94076,0.0022397302,0.000036790017,0.048815172,0.00024421312,0.00011992538,0.000016542803,0.000005011431,0.007762575],"genre_scores_gemma":[0.9946352,0.0035884306,0.00014604055,0.00038201464,0.00025663184,0.0000012494118,0.000006472231,0.0000053805757,0.0009785679],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99775743,0.00024990784,0.00029116962,0.00014318436,0.0011596011,0.00039870074],"domain_scores_gemma":[0.9989136,0.00021646146,0.00012935293,0.0000714516,0.000085524596,0.0005836005],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0030455855,0.00005970384,0.00013189012,0.00022351094,0.00027394583,0.0004715715,0.00037226762,0.000049396327,0.0014966795],"category_scores_gemma":[0.00017317635,0.000050225724,0.000031422333,0.00011075807,0.0005420672,0.0015823818,0.000097116754,0.00033031433,0.000013515683],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033294342,0.00026159384,0.9107275,0.0000094955785,0.00003643136,0.000007995381,0.0018525801,5.717123e-8,0.000059965972,0.016704503,0.00053422403,0.06977234],"study_design_scores_gemma":[0.000615262,0.0003671695,0.69956946,0.000023680464,8.8790796e-7,0.0000088735405,0.005477666,0.000010383059,0.000012840392,0.0144825205,0.2793536,0.00007764022],"about_ca_topic_score_codex":0.0004856573,"about_ca_topic_score_gemma":0.00016586289,"teacher_disagreement_score":0.27881938,"about_ca_system_score_codex":0.0002147626,"about_ca_system_score_gemma":0.00073263363,"threshold_uncertainty_score":0.9994161},"labels":[],"label_agreement":null},{"id":"W2945111840","doi":"10.1177/0361198119838261","title":"Bikeshare Users on a Budget? Trip Chaining Analysis of Bikeshare User Groups in Chicago","year":2019,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Société de Transport de Montréal","funders":"","keywords":"Chaining; Recreation; TRIPS architecture; Transport engineering; Transit (satellite); Computer science; Geography; Advertising; Business; Public transport; Engineering; Psychology; Political science","score_opus":0.09068182812061729,"score_gpt":0.4103793070677695,"score_spread":0.31969747894715217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2945111840","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944134,0.00014933578,0.00006788952,0.0025034444,0.0003909213,0.0013347312,0.0002508378,0.000025350624,0.0008640844],"genre_scores_gemma":[0.99790734,0.0005046435,0.00023854284,0.00006021088,0.000120456825,0.00004893658,0.00007536277,0.000042648364,0.0010018395],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9886073,0.002034029,0.0019834046,0.0006274202,0.0055959574,0.0011519173],"domain_scores_gemma":[0.9934691,0.001778417,0.0007620452,0.00067468605,0.0028757465,0.00044001272],"candidate_categories":["research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.009269747,0.00028716927,0.00095345004,0.0037003239,0.0005524639,0.00013815676,0.0017938399,0.00033545628,0.002628389],"category_scores_gemma":[0.00037655412,0.0002267167,0.00091091794,0.0107290335,0.0008132167,0.0009845366,0.0000073372616,0.002560238,0.000025167974],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016547188,0.00039580523,0.9761072,0.00017582113,0.0003817185,0.000049600527,0.01394148,0.0020607463,0.00060916913,0.0026523715,0.00046355717,0.0015078307],"study_design_scores_gemma":[0.0016156494,0.00043994354,0.9811109,0.0005034169,0.00016919832,1.871768e-8,0.009767165,0.00013337839,0.00031930965,0.0007709486,0.0049533634,0.00021673791],"about_ca_topic_score_codex":0.03363868,"about_ca_topic_score_gemma":0.3497336,"teacher_disagreement_score":0.3160949,"about_ca_system_score_codex":0.00040833134,"about_ca_system_score_gemma":0.001082026,"threshold_uncertainty_score":0.9997409},"labels":[],"label_agreement":null},{"id":"W2945209731","doi":"10.1371/journal.pone.0207791","title":"Active streets for children: The case of the Bogotá Ciclovía","year":2019,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Children's Hospital of Eastern Ontario","funders":"Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS); Coca-Cola Foundation; Coca-Cola","keywords":"Geography; Medicine","score_opus":0.03570700796393403,"score_gpt":0.27194591007746605,"score_spread":0.23623890211353202,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2945209731","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9933263,0.000046861252,0.0000025960383,0.0012011507,0.000051520386,0.00089830975,0.00006824434,0.000014244472,0.0043907887],"genre_scores_gemma":[0.99879944,0.000004133986,0.00004684245,0.00008265318,0.000109872104,0.000016573053,0.000002414339,0.0000046296827,0.0009334549],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994055,0.00005540243,0.0001023423,0.00012268338,0.0001721948,0.00014187118],"domain_scores_gemma":[0.9994316,0.00013973314,0.000080513135,0.00024940117,0.00007221706,0.000026522534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024422933,0.000049894414,0.000104082865,0.000007965938,0.0002524581,0.000015236338,0.00028324328,0.000042934873,0.00019106233],"category_scores_gemma":[0.000069778114,0.00002764851,0.00007629799,0.00012448923,0.00017947136,0.00010072234,0.000019041883,0.000081732935,0.000006705503],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059616035,0.00091711106,0.9790107,0.0000464985,0.00019603682,0.0000019493134,0.012117485,0.0000010187622,0.001555828,0.0032638686,0.00020994106,0.0026199254],"study_design_scores_gemma":[0.00058882945,0.000074235526,0.9493787,0.0000697618,0.00021697315,5.053794e-7,0.0041935183,0.00003316849,0.04048413,0.0046038884,0.00020368696,0.00015255049],"about_ca_topic_score_codex":0.002271684,"about_ca_topic_score_gemma":0.0069948165,"teacher_disagreement_score":0.0389283,"about_ca_system_score_codex":0.00001886644,"about_ca_system_score_gemma":0.000069483445,"threshold_uncertainty_score":0.3903272},"labels":[],"label_agreement":null},{"id":"W2945376704","doi":"10.5198/jtlu.2019.1461","title":"Advancing cycling among women: An exploratory study of North American cyclists","year":2019,"lang":"en","type":"article","venue":"Journal of Transport and Land Use","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cycling; Recreation; Poison control; Human factors and ergonomics; Injury prevention; Suicide prevention; Transport engineering; Applied psychology; Psychology; Geography; Environmental health; Engineering; Medicine; Forestry; Political science","score_opus":0.016156810645822303,"score_gpt":0.28015210446643,"score_spread":0.2639952938206077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2945376704","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.999537,0.000038103182,0.000016319162,0.00001663769,0.00016707752,0.00016017848,0.0000054380153,0.000011415134,0.000047829046],"genre_scores_gemma":[0.9996422,0.00010136247,0.00006316283,0.00002424182,0.00012346797,0.0000014239108,0.0000019644874,0.000009675719,0.000032491418],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986202,0.000081745064,0.0005200014,0.0001522283,0.00038475223,0.00024107951],"domain_scores_gemma":[0.9989826,0.00005627014,0.00044315058,0.00013372731,0.00013186154,0.00025238146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078267447,0.00010762015,0.00041714095,0.00010480621,0.00011967791,0.00002895897,0.00017933619,0.000028621684,0.000036154128],"category_scores_gemma":[0.000012678362,0.000084079176,0.00007127605,0.00024292318,0.00014880439,0.0012554821,0.00000391706,0.00019752645,3.0697703e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016476374,0.00037981704,0.9491255,0.000020594674,0.000036152043,0.000031063068,0.04913902,0.00008529147,0.000037240185,0.0000011098595,0.0000014111754,0.0009780207],"study_design_scores_gemma":[0.0007208281,0.0004431937,0.9786901,0.000025562369,0.000045042496,3.5096676e-7,0.019626852,0.0000045167144,0.00001040792,0.000010119306,0.00031667162,0.00010638984],"about_ca_topic_score_codex":0.0014760774,"about_ca_topic_score_gemma":0.08112938,"teacher_disagreement_score":0.0796533,"about_ca_system_score_codex":0.000029962337,"about_ca_system_score_gemma":0.00009345711,"threshold_uncertainty_score":0.9356376},"labels":[],"label_agreement":null},{"id":"W2945421371","doi":"10.1155/2019/5426080","title":"How Have Travelers Changed Mode Choices for First/Last Mile Trips after the Introduction of Bicycle-Sharing Systems: An Empirical Study in Beijing, China","year":2019,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":89,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"TRIPS architecture; Beijing; Multinomial logistic regression; Mile; Last mile (transportation); Mode choice; Transport engineering; China; Mode (computer interface); Travel behavior; Public transport; Computer science; Engineering; Geography","score_opus":0.024542381340207486,"score_gpt":0.3286430772822278,"score_spread":0.3041006959420203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2945421371","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99635005,0.00018958446,0.0008881966,0.0008670101,0.0005571032,0.0011075587,0.000019839621,0.000010080051,0.000010606748],"genre_scores_gemma":[0.9990549,0.000027962826,0.000235032,0.000008622108,0.0005207966,0.00004494171,0.000017457192,0.0000137225015,0.00007653515],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983609,0.000086022475,0.00063653855,0.0002438375,0.00045829592,0.00021441461],"domain_scores_gemma":[0.99887353,0.00006517595,0.0006157439,0.0001579537,0.00021825345,0.00006932204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009696578,0.00012895555,0.00035219424,0.0001789825,0.0001378186,0.000061748775,0.00025491812,0.000076683464,0.000014939274],"category_scores_gemma":[0.00003813138,0.00009627648,0.00013545915,0.00030054117,0.000069083515,0.0014712411,0.0000013576243,0.00021218069,1.5164106e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009395034,0.0003388994,0.93381363,0.00010521715,0.000032463635,0.0000025031068,0.050904736,0.012810971,0.0003761469,0.000018618259,0.0000043998357,0.0006529333],"study_design_scores_gemma":[0.0015530442,0.0004118858,0.9606341,0.000071052826,0.00007340456,2.8573498e-7,0.036164146,0.0002679585,0.00009754591,0.00015537158,0.00046452598,0.00010665003],"about_ca_topic_score_codex":0.0002785764,"about_ca_topic_score_gemma":0.03688119,"teacher_disagreement_score":0.036602613,"about_ca_system_score_codex":0.00009632934,"about_ca_system_score_gemma":0.00006396955,"threshold_uncertainty_score":0.9806932},"labels":[],"label_agreement":null},{"id":"W2945681201","doi":"10.3390/ijerph16101685","title":"Move on Bikes Program: A Community-Based Physical Activity Strategy in Mexico City","year":2019,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Fogarty International Center; Consejo Nacional de Ciencia y Tecnología; Bloomberg Family Foundation","keywords":"Physical activity; Demography; Environmental health; Psychology; Gerontology; Geography; Medicine; Physical therapy; Sociology","score_opus":0.15112895839363183,"score_gpt":0.4650959548853708,"score_spread":0.313966996491739,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2945681201","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9882928,0.00003324603,0.000011085368,0.008870185,0.000073067735,0.0002550401,0.00003087648,0.0000051329034,0.002428566],"genre_scores_gemma":[0.9994397,0.00010315055,0.000025798327,0.00020489164,0.000110908026,0.0000048883117,0.000008832065,0.000004505412,0.00009733093],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99705446,0.0009475307,0.00019852704,0.000117994416,0.0013207927,0.00036069695],"domain_scores_gemma":[0.99894017,0.00043876196,0.00013176871,0.00009787978,0.000060552113,0.00033088267],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037640748,0.00006911214,0.00015703023,0.0002388239,0.00021301719,0.00014989106,0.00044146343,0.00004611385,0.00019551023],"category_scores_gemma":[0.00009519836,0.00005824418,0.000052992287,0.00014837831,0.0004199468,0.00046230946,0.000041809995,0.0009815388,0.000008120984],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002810976,0.00865708,0.8192807,0.00001581892,0.000024342327,0.000013524991,0.0021170161,0.000012405948,0.00014252409,0.00083114725,0.000065832355,0.16855852],"study_design_scores_gemma":[0.00080778,0.0013851204,0.9862554,0.000041338404,4.999023e-7,7.1352946e-7,0.0026101042,0.00013065984,0.00008496818,0.002032233,0.006588905,0.00006229526],"about_ca_topic_score_codex":0.0024850334,"about_ca_topic_score_gemma":0.0011238283,"teacher_disagreement_score":0.16849622,"about_ca_system_score_codex":0.0006048637,"about_ca_system_score_gemma":0.00065505813,"threshold_uncertainty_score":0.42643523},"labels":[],"label_agreement":null},{"id":"W2947007693","doi":"10.1123/jpah.2018-0364","title":"If You Make it Free, Will They Come? Using a Physical Activity Accessibility Model to Understand the Use of a Free Children’s Recreation Pass","year":2019,"lang":"en","type":"article","venue":"Journal of Physical Activity and Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Recreation; Psychological intervention; Intrapersonal communication; Population; Geography; Club; Geographic information system; Intervention (counseling); Logistic regression; Psychology; Interpersonal communication; Environmental health; Medicine; Social psychology; Cartography","score_opus":0.12877663988113253,"score_gpt":0.3833608791168296,"score_spread":0.25458423923569706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2947007693","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98560977,0.000011147772,0.0037604268,0.009755882,0.00007501469,0.0005835958,0.0001004996,0.000011834559,0.00009185839],"genre_scores_gemma":[0.9990674,0.000027721459,0.00030680475,0.0001758298,0.00037510833,0.0000014081764,8.765621e-7,0.000011100437,0.000033753255],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978085,0.00044406182,0.00029619707,0.000308385,0.00078268856,0.00036014928],"domain_scores_gemma":[0.9978997,0.0004336037,0.0007118292,0.00046160724,0.00019136164,0.0003019112],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012215663,0.0001863034,0.0006764874,0.00006696265,0.00047731676,0.00012471522,0.00041610206,0.00008756676,0.000008095768],"category_scores_gemma":[0.00015524903,0.00012536734,0.00025341654,0.00028636138,0.00027449804,0.001618089,0.00011366122,0.0005732623,4.515256e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004353614,0.016658597,0.73331195,0.0007086545,0.0005207818,0.000005197585,0.1199211,0.010807454,0.015694834,0.0111916475,0.00092245644,0.08590372],"study_design_scores_gemma":[0.0009038228,0.000402753,0.95864064,0.0001372952,0.00007937666,9.981134e-7,0.0007311184,0.019041162,0.00036407157,0.01945494,0.000052835232,0.00019099319],"about_ca_topic_score_codex":0.0072766594,"about_ca_topic_score_gemma":0.0048704306,"teacher_disagreement_score":0.2253287,"about_ca_system_score_codex":0.00035099193,"about_ca_system_score_gemma":0.00069289544,"threshold_uncertainty_score":0.999334},"labels":[],"label_agreement":null},{"id":"W2947199161","doi":"10.1016/j.ypmed.2019.05.029","title":"Cognitive resources moderate the adverse impact of poor perceived neighborhood conditions on self-reported physical activity of older adults","year":2019,"lang":"en","type":"article","venue":"Preventive Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":56,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Horizon 2020; H2020 Marie Skłodowska-Curie Actions; Sixth Framework Programme; Bundesministerium für Bildung und Forschung; European Commission; National Institute on Aging; Max-Planck-Gesellschaft; Fifth Framework Programme; Seventh Framework Programme; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Cognition; Odds; Medicine; Confounding; Effects of sleep deprivation on cognitive performance; Recall; Environmental health; Verbal fluency test; Resource depletion; Gerontology; Psychology; Logistic regression; Cognitive psychology; Psychiatry; Ecology; Neuropsychology","score_opus":0.017183622463600588,"score_gpt":0.3395649761918874,"score_spread":0.3223813537282868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2947199161","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99064904,0.000033576176,0.000025660835,0.00022845346,0.00008263879,0.0010397225,0.000081854225,0.000031721174,0.0078273425],"genre_scores_gemma":[0.9994024,0.000014170119,0.000002510088,0.000021671118,0.00011475059,0.00002050783,0.000024179479,0.000008820565,0.0003909686],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984549,0.00029776085,0.0002459342,0.00028173227,0.00050557725,0.00021407084],"domain_scores_gemma":[0.9984864,0.00048348188,0.0003942749,0.00019918355,0.00034854695,0.00008809144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004526978,0.0001521531,0.0004137112,0.00006046001,0.00015730134,0.000003889114,0.0001827737,0.000058280883,0.00078924967],"category_scores_gemma":[0.00018117536,0.000089410714,0.00022565399,0.0003098194,0.000662623,0.00018799175,0.000019072528,0.00019588751,0.000007866718],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002253464,0.004140437,0.7088243,0.00019409029,0.001499176,0.000009578205,0.27317885,0.000034034136,0.005769126,0.00040469263,0.00018749246,0.003504781],"study_design_scores_gemma":[0.0017181102,0.0003782392,0.98706293,0.00063346577,0.00035280592,1.3209365e-7,0.007820803,0.00033787912,0.001021814,0.00057501305,0.000004103529,0.00009469666],"about_ca_topic_score_codex":0.0035150433,"about_ca_topic_score_gemma":0.00023285642,"teacher_disagreement_score":0.27823865,"about_ca_system_score_codex":0.000050067345,"about_ca_system_score_gemma":0.00014513839,"threshold_uncertainty_score":0.86417305},"labels":[],"label_agreement":null},{"id":"W2947489450","doi":"10.3390/ijerph16111917","title":"Test-Retest Reliability and Walk Score® Neighbourhood Walkability Comparison of an Online Perceived Neighbourhood-Specific Adaptation of the International Physical Activity Questionnaire (IPAQ)","year":2019,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Canadian Institutes of Health Research","keywords":"Neighbourhood (mathematics); Walkability; Intraclass correlation; Physical activity; Psychology; Physical activity level; Physical therapy; Gerontology; Medicine; Clinical psychology; Psychometrics; Mathematics","score_opus":0.09371174858031386,"score_gpt":0.39403541056868924,"score_spread":0.30032366198837535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2947489450","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.991316,0.00017246002,0.000035591314,0.0075326464,0.00027276026,0.00030251604,0.00016962564,0.000004546532,0.00019382866],"genre_scores_gemma":[0.99910116,0.0003993072,0.0001613251,0.00003255084,0.00024337295,0.0000020963826,0.00001556411,0.000007196737,0.000037412334],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9965325,0.000479898,0.00055266253,0.0002734939,0.001884728,0.00027673887],"domain_scores_gemma":[0.9979694,0.0005705213,0.0005441423,0.00018577233,0.00040396073,0.0003262022],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028467036,0.00011018012,0.0002960351,0.00012348637,0.0002114099,0.000096382966,0.0006865855,0.00007398698,0.0002586227],"category_scores_gemma":[0.0006611553,0.00008347148,0.00009710388,0.000154058,0.0010656154,0.0010007159,0.00013348756,0.00056683226,0.0000010569979],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015641328,0.0035539896,0.8893151,0.000024010893,0.000025561592,5.9263516e-7,0.0039817546,0.000015685924,0.0025393276,0.00045661413,0.00000951091,0.09992143],"study_design_scores_gemma":[0.0006075826,0.00059453567,0.99081177,0.0000742126,0.0000030260046,0.0000022358636,0.004349795,0.0013289072,0.0001756785,0.0016291818,0.00035952186,0.000063532316],"about_ca_topic_score_codex":0.0021894805,"about_ca_topic_score_gemma":0.001164881,"teacher_disagreement_score":0.10149668,"about_ca_system_score_codex":0.00053768867,"about_ca_system_score_gemma":0.0005679951,"threshold_uncertainty_score":0.39263046},"labels":[],"label_agreement":null},{"id":"W2948117257","doi":"10.3390/urbansci3020062","title":"Correcting Bias in Crowdsourced Data to Map Bicycle Ridership of All Bicyclists","year":2019,"lang":"en","type":"article","venue":"Urban Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":76,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Arizona State University","keywords":"Covariate; Poisson regression; Statistics; Count data; Data collection; Geography; Poisson distribution; Big data; Computer science; Population; Transport engineering; Econometrics; Engineering; Data mining; Mathematics; Demography","score_opus":0.1873513413714039,"score_gpt":0.3886079536731061,"score_spread":0.20125661230170216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2948117257","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98782194,0.0000552994,0.000035098317,0.0006818905,0.0006601567,0.0003471039,0.000013621276,0.000045075736,0.010339789],"genre_scores_gemma":[0.99749255,8.9135904e-7,0.00038330106,0.00019240244,0.00007752108,0.0000025409195,0.0000047910926,0.000006757557,0.0018392346],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99746865,0.0000896468,0.00035379815,0.0006932011,0.0008180637,0.00057663646],"domain_scores_gemma":[0.9984087,0.00024531398,0.00013923309,0.0008856215,0.00010222234,0.00021892381],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044843974,0.00010594303,0.00021024697,0.0002728703,0.00019405573,0.00012897362,0.0023390283,0.000056557128,0.0002994385],"category_scores_gemma":[0.0010925629,0.00010098472,0.00003478968,0.0020293645,0.00068888906,0.0010483495,0.00023626402,0.00014599942,0.000121682235],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012726603,0.00004323268,0.98344934,0.000014670451,0.0000012854237,0.0000013095399,0.010879969,0.000022707125,0.0037094874,0.00016105949,0.0005239554,0.0011802464],"study_design_scores_gemma":[0.00025553574,0.000043069558,0.9808146,0.00009163665,0.0000058499986,1.9161584e-7,0.004934249,0.00041492106,0.0029990708,0.00026656644,0.0099215135,0.00025283982],"about_ca_topic_score_codex":0.010457442,"about_ca_topic_score_gemma":0.010977147,"teacher_disagreement_score":0.009670595,"about_ca_system_score_codex":0.000110427696,"about_ca_system_score_gemma":0.00043349253,"threshold_uncertainty_score":0.996132},"labels":[],"label_agreement":null},{"id":"W2948330058","doi":"","title":"Hiawatha LRT Potential Commuters.","year":2006,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Downtown; Metropolitan area; Quarter (Canadian coin); Twin cities; Mile; Geography; Transport engineering; Light rail transit; Work (physics); Cartography; Engineering; Public transport; Archaeology","score_opus":0.010281549406356456,"score_gpt":0.2663551442846439,"score_spread":0.25607359487828746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2948330058","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65093195,0.00003739935,0.0012982504,0.0016656148,0.0002066398,0.00007244006,0.0000019563117,0.00012715603,0.3456586],"genre_scores_gemma":[0.98403496,0.0000025871855,0.00042097148,0.00016664533,0.00033417525,0.0000019975357,0.000008494242,0.0000031225197,0.015027067],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99937075,0.00003444165,0.00010868667,0.00011152732,0.0001872969,0.00018729975],"domain_scores_gemma":[0.99978477,0.000012253229,0.000020987629,0.000110555724,0.000028906989,0.000042541615],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002087291,0.00004642717,0.00006435741,0.000017211845,0.00029077308,0.000057707442,0.0001840163,0.000050205912,0.0018678368],"category_scores_gemma":[0.0000035326354,0.00003995809,0.00005607691,0.00010091481,0.00016210304,0.00018728676,0.000009846809,0.00005407087,0.000071395014],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011571378,0.00021093663,0.90659475,0.000006046636,0.0000072568205,0.000017974093,0.001089209,0.0000070453425,0.00037857902,0.052529164,0.035827257,0.0033202064],"study_design_scores_gemma":[0.00029443635,0.000012025598,0.79826605,0.00000347867,0.0000148601175,1.5829033e-7,0.00071596185,0.000028751228,0.0005188954,0.0207565,0.1791885,0.00020039378],"about_ca_topic_score_codex":0.03018426,"about_ca_topic_score_gemma":0.0192587,"teacher_disagreement_score":0.333103,"about_ca_system_score_codex":0.000022872404,"about_ca_system_score_gemma":0.000040920677,"threshold_uncertainty_score":0.9990446},"labels":[],"label_agreement":null},{"id":"W2948360251","doi":"10.1680/jensu.19.00006","title":"The net greenhouse gas impact of the Jubilee line extension in London, UK","year":2019,"lang":"en","type":"article","venue":"Proceedings of the Institution of Civil Engineers - Engineering Sustainability","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Greenhouse gas; Lagging; Work (physics); Public transport; Environmental science; Climate change; Agricultural economics; Natural resource economics; Business; Transport engineering; Economics; Engineering","score_opus":0.005629858100500322,"score_gpt":0.24220140971546095,"score_spread":0.23657155161496063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2948360251","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99707687,0.00024045266,0.00014097976,0.00048356212,0.0003861171,0.0010267572,0.000008484416,0.000048089325,0.0005886848],"genre_scores_gemma":[0.9997307,0.000042132662,0.000032283286,0.0000040425175,0.0000486966,0.000015584868,6.370823e-7,0.0000129755135,0.00011293426],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980793,0.000026257625,0.00064320874,0.00026087076,0.0005811729,0.00040919933],"domain_scores_gemma":[0.9981157,0.00018584958,0.00032039965,0.00039949483,0.00091078144,0.000067776906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021051904,0.00020704149,0.00035553155,0.00010612154,0.00018865426,0.000025200668,0.00092011044,0.00014828822,0.000019069455],"category_scores_gemma":[0.002546868,0.00011865548,0.00036178064,0.001174959,0.0006653046,0.00035069673,0.00011839047,0.0004143049,2.4209754e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013683956,0.00018983967,0.8135174,0.00078068906,0.000049621332,2.6548875e-7,0.0033184832,0.16395904,0.0041653314,0.013293824,0.00010080267,0.00048789167],"study_design_scores_gemma":[0.0006874722,0.000123822,0.9780696,0.00030125325,0.000050224782,7.747659e-7,0.0016364164,0.0073203784,0.0069350568,0.0038963933,0.0007264293,0.0002521485],"about_ca_topic_score_codex":0.0027988679,"about_ca_topic_score_gemma":0.0009090943,"teacher_disagreement_score":0.16455226,"about_ca_system_score_codex":0.0006046895,"about_ca_system_score_gemma":0.00050451624,"threshold_uncertainty_score":0.483863},"labels":[],"label_agreement":null},{"id":"W2949547383","doi":"10.1186/s12889-019-7024-6","title":"The built environment and active transportation safety in children and youth: a study protocol","year":2019,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Acadia University; BC Children's Hospital; University of British Columbia; University of Alberta; York University; SickKids Foundation; University of Toronto; Public Health Ontario; Université de Montréal; Institut National de la Recherche Scientifique; Hospital for Sick Children; Alberta Children's Hospital; Institute for Clinical Evaluative Sciences; Simon Fraser University; University of Manitoba; Parachute; University of Calgary","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Biostatistics; Protocol (science); Public health; Environmental health; Occupational safety and health; Poison control; Epidemiology; Injury prevention; Human factors and ergonomics; Suicide prevention; Medical emergency; Nursing; Alternative medicine; Pathology","score_opus":0.03505106066259595,"score_gpt":0.33529535372275227,"score_spread":0.3002442930601563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2949547383","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9390833,0.000024314473,0.000025339534,0.0012433217,0.000017488077,0.05928801,0.000028497478,0.000016678574,0.0002730438],"genre_scores_gemma":[0.9958836,0.000021350435,0.000026012616,0.000053944226,0.000026940885,0.0038966697,0.000014231178,0.000004677412,0.00007260908],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986321,0.00030486417,0.00026257965,0.00026489023,0.00024946188,0.00028615564],"domain_scores_gemma":[0.9995458,0.00006097526,0.00009849018,0.00013897347,0.000010965452,0.00014480398],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020064926,0.00007570173,0.00013143457,0.000031855918,0.00038501585,0.00007364923,0.00011567603,0.000039617233,0.000035689485],"category_scores_gemma":[0.000019003024,0.000053519907,0.00001569104,0.00012957041,0.00012486646,0.00029073068,0.000007638328,0.00011715113,0.000002177043],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003909346,0.00013873939,0.9515036,0.000008359577,0.000004078926,4.8679016e-8,0.03692224,4.080006e-7,1.828072e-7,0.00027033783,0.000002168431,0.011110773],"study_design_scores_gemma":[0.00093974615,0.00009812861,0.9829623,0.000004478739,0.000001961396,2.713703e-8,0.014169179,0.0000028872314,2.473239e-7,0.0001032458,0.0016594792,0.000058283484],"about_ca_topic_score_codex":0.01876766,"about_ca_topic_score_gemma":0.06934187,"teacher_disagreement_score":0.056800257,"about_ca_system_score_codex":0.00011576487,"about_ca_system_score_gemma":0.0004027552,"threshold_uncertainty_score":0.98776644},"labels":[],"label_agreement":null},{"id":"W2949597760","doi":"10.1080/02723638.2019.1630209","title":"Paving the way to growth: transit-oriented development as a financing instrument for Shanghai’s post-suburbanization","year":2019,"lang":"en","type":"article","venue":"Urban Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":56,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Economic and Social Research Council; Urban Studies Foundation; Social Sciences and Humanities Research Council of Canada; Fudan University; National Natural Science Foundation of China; University College London","keywords":"Suburbanization; Urban sprawl; Leverage (statistics); Transit-oriented development; Business; China; Finance; Public transport; Land use; Real estate development; Land development; Transport engineering; Economic growth; Real estate; Geography; Economics; Engineering; Civil engineering","score_opus":0.009726320067720486,"score_gpt":0.23625530883739107,"score_spread":0.2265289887696706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2949597760","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98928034,0.00015094911,0.0038366525,0.0019683389,0.00060571905,0.0016653559,0.000016717104,0.0001234554,0.0023524493],"genre_scores_gemma":[0.9965301,0.000005901573,0.0014895943,0.00094138365,0.00014021526,0.00013577925,0.00006119176,0.000019976304,0.00067585264],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981828,0.00005974989,0.00034139198,0.00044308143,0.0004554455,0.0005175424],"domain_scores_gemma":[0.999092,0.00009742719,0.000095364136,0.00025230783,0.00031326347,0.0001496343],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071370427,0.00018355214,0.00019135412,0.00018131534,0.000825013,0.000115593706,0.00041224976,0.00009934962,0.0001832554],"category_scores_gemma":[0.00008069765,0.00014637025,0.0001759918,0.0010012295,0.00009066968,0.00029434098,0.000027441642,0.000110111185,0.00005396206],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006914252,0.00009891545,0.95088035,0.00004799759,0.000044423305,9.780306e-7,0.036830503,0.000006532662,0.00037672324,0.0053639296,0.000545653,0.005734838],"study_design_scores_gemma":[0.000669998,0.00016269367,0.8650626,0.00010153015,0.000048688915,2.2945855e-7,0.0040234774,0.000020909176,0.0018528958,0.00081927975,0.12680458,0.0004331324],"about_ca_topic_score_codex":0.0020267274,"about_ca_topic_score_gemma":0.00249911,"teacher_disagreement_score":0.12625892,"about_ca_system_score_codex":0.000085428255,"about_ca_system_score_gemma":0.00017072965,"threshold_uncertainty_score":0.6345416},"labels":[],"label_agreement":null},{"id":"W2949757477","doi":"10.4000/cybergeo.32391","title":"Un atlas-web pour comparer l’exposition individuelle aux pollutions atmosphérique et sonore selon le mode de transport","year":2019,"lang":"fr","type":"article","venue":"Cybergeo","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Art; Political science","score_opus":0.015196732766026467,"score_gpt":0.2837152851375125,"score_spread":0.26851855237148603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2949757477","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94789624,0.0021576218,0.0016553911,0.019076485,0.0009774158,0.0005655572,0.00049699575,0.00014935025,0.027024956],"genre_scores_gemma":[0.96853787,0.00031722433,0.0011704687,0.00063767016,0.00031515586,0.00003154189,0.00036362186,0.000042201835,0.028584244],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997181,0.00032948516,0.0005410317,0.00063310534,0.00043280952,0.0008825575],"domain_scores_gemma":[0.99878436,0.000090859365,0.0001947372,0.0004181905,0.00015251125,0.0003593269],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007291365,0.0003512806,0.00045338878,0.000047037272,0.0008244909,0.00007912505,0.00050632533,0.0004827074,0.0029632035],"category_scores_gemma":[0.000013009934,0.0003906331,0.0003619487,0.00069386343,0.00043163536,0.0009138231,0.000031044125,0.0005515839,0.0005872056],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005309633,0.0010439239,0.92033875,0.00010930666,0.0001389501,0.000024121999,0.018564241,0.0023477878,0.0014248972,0.04904016,0.0052411896,0.0016735711],"study_design_scores_gemma":[0.0016771627,0.00010313064,0.8439655,0.00025949356,0.0002434113,0.000005279557,0.004046913,0.0046998626,0.0016379106,0.014670063,0.12774041,0.0009508936],"about_ca_topic_score_codex":0.028908841,"about_ca_topic_score_gemma":0.03695259,"teacher_disagreement_score":0.12249922,"about_ca_system_score_codex":0.00032399464,"about_ca_system_score_gemma":0.0018460464,"threshold_uncertainty_score":0.99985456},"labels":[],"label_agreement":null},{"id":"W2949978277","doi":"","title":"There goes the neighbourhood: a case study of social mix in Vancouver's downtown eastside","year":2019,"lang":"en","type":"dissertation","venue":"UVic’s Research and Learning Repository (University of Victoria)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Downtown; Neighbourhood (mathematics); Economic geography; Geography; Regional science; Sociology; Archaeology; Mathematics","score_opus":0.025568983952142646,"score_gpt":0.3108167674283312,"score_spread":0.28524778347618857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2949978277","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96536064,0.00031812,8.4357697e-7,0.000037938327,0.00054722046,0.0006391458,0.000004359502,0.000020107447,0.033071637],"genre_scores_gemma":[0.9736117,0.0000451475,0.000005560062,6.904842e-7,0.00020901552,0.0000015875122,0.000013064479,0.000013511922,0.026099686],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9964786,0.0014000905,0.00025267105,0.00043296476,0.0010534506,0.00038217858],"domain_scores_gemma":[0.9982718,0.0005037498,0.00033149184,0.00023820672,0.0005507548,0.000103981394],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0018415065,0.00016078338,0.00042252062,0.00024170388,0.002058424,0.00007694729,0.0005469596,0.00032898656,0.0002777278],"category_scores_gemma":[0.000113953356,0.00015293443,0.000114591094,0.00060925394,0.00045586485,0.00027086888,0.0000679105,0.0014225284,0.0000030224853],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006389248,0.0006075282,0.5203243,0.00031732186,0.00015510694,0.00086036726,0.47393602,0.000014546084,0.00023168161,0.0000981054,0.00032515245,0.0024909696],"study_design_scores_gemma":[0.0006425162,0.00034436377,0.29095352,0.00008712152,0.000046274792,0.0000012833256,0.70508397,0.00001693205,0.000010176703,0.000050522038,0.0026294552,0.00013385576],"about_ca_topic_score_codex":0.18510906,"about_ca_topic_score_gemma":0.4078135,"teacher_disagreement_score":0.23114794,"about_ca_system_score_codex":0.00015888082,"about_ca_system_score_gemma":0.0006119508,"threshold_uncertainty_score":0.99924076},"labels":[],"label_agreement":null},{"id":"W2950101163","doi":"10.5198/jtlu.2019.1502","title":"On the accuracy of schedule-based GTFS for measuring accessibility","year":2019,"lang":"en","type":"article","venue":"Journal of Transport and Land Use","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":65,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Schedule; Computer science; Transit (satellite); Estimation; Transport engineering; Public transport; Engineering","score_opus":0.05920512533159905,"score_gpt":0.3091782317265289,"score_spread":0.24997310639492987,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2950101163","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979096,0.00011815272,0.00037295185,0.00076376536,0.00019179162,0.00029213703,0.000019836001,0.0000062906915,0.00032548883],"genre_scores_gemma":[0.9994965,0.000026359497,0.00019436634,0.00010944195,0.00008897788,0.0000019593626,0.0000020499588,0.000006003661,0.00007432064],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988978,0.000053041644,0.00041961734,0.00012061177,0.0003478563,0.0001610809],"domain_scores_gemma":[0.9984764,0.00073281815,0.00033732224,0.00015182554,0.00021403874,0.000087632165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015972486,0.00008969864,0.00026165086,0.000051838575,0.00015357444,0.000040130803,0.00025268208,0.000071135895,0.00016109935],"category_scores_gemma":[0.00017120807,0.00005120753,0.00020130073,0.000112425,0.000121402394,0.00044130272,0.0000022866386,0.00016687636,4.500072e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005266508,0.0001140259,0.99722505,0.00007609021,0.000026861768,0.0000017364782,0.0007697435,0.00003188997,0.00018266882,0.0006473903,0.000021321632,0.0003765896],"study_design_scores_gemma":[0.0011429116,0.0001327259,0.9931751,0.00013440238,0.00007115935,1.9995413e-7,0.0002101661,0.00003059052,0.0011928007,0.001490405,0.002331598,0.00008794865],"about_ca_topic_score_codex":0.00021493302,"about_ca_topic_score_gemma":0.00066698017,"teacher_disagreement_score":0.0040499386,"about_ca_system_score_codex":0.000017316805,"about_ca_system_score_gemma":0.00021372193,"threshold_uncertainty_score":0.20881826},"labels":[],"label_agreement":null},{"id":"W2950578033","doi":"10.1007/978-3-030-21642-9_11","title":"Agent-Based Models and Spatial Enablement: A Simulation Tool to Improve Health and Wellbeing in Big Cities","year":2019,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Analytics; Big data; Psychological intervention; Commission; Public health; Health impact assessment; Population; Computer science; Environmental planning; Business; Geography; Data science; Environmental health; Medicine; Nursing","score_opus":0.02975883420078573,"score_gpt":0.287994434838751,"score_spread":0.25823560063796525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2950578033","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04293117,0.0003667159,0.9537547,0.0007987013,0.00060179166,0.0009141557,0.000013200583,0.000030650466,0.00058888545],"genre_scores_gemma":[0.9911269,0.000024925423,0.0069608474,0.0014856444,0.00023095132,0.000004602572,0.0000057673733,0.000011505009,0.00014888046],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978625,0.00003764991,0.0003565299,0.00078192074,0.00052612554,0.00043524403],"domain_scores_gemma":[0.9991506,0.00024738652,0.00014042176,0.00024207775,0.000071200186,0.00014836149],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010376235,0.00021943472,0.0003290285,0.00037713154,0.00028393394,0.00027124982,0.00032532844,0.00015112967,0.000011301861],"category_scores_gemma":[0.000045130808,0.0002103221,0.00003249001,0.00021599335,0.0004324562,0.00029984183,0.00011841226,0.00026085548,0.0000011174902],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034071174,0.000018378942,0.010318229,0.00015920198,0.0000031683733,0.000005921442,0.012760854,0.19758452,0.000020076923,0.0013250858,0.0000012871552,0.7777692],"study_design_scores_gemma":[0.00065693125,0.00024422313,0.0040196767,0.0006198233,0.000006773077,1.5451376e-7,0.000012033001,0.9252039,0.00006367884,0.06751609,0.0010453545,0.0006113479],"about_ca_topic_score_codex":0.004348414,"about_ca_topic_score_gemma":0.018122412,"teacher_disagreement_score":0.9481957,"about_ca_system_score_codex":0.00026402448,"about_ca_system_score_gemma":0.0009909933,"threshold_uncertainty_score":0.9997943},"labels":[],"label_agreement":null},{"id":"W2951094178","doi":"10.1016/j.tbs.2019.05.009","title":"Generating walkability from pedestrians’ perspectives using a qualitative GIS method","year":2019,"lang":"en","type":"article","venue":"Travel Behaviour and Society","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Walkability; Pedestrian; Geospatial analysis; Built environment; Geographic information system; Computer science; Transport engineering; Data science; Geography; Cartography; Engineering; Civil engineering","score_opus":0.06783613473522539,"score_gpt":0.4064497524000661,"score_spread":0.3386136176648407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2951094178","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9905864,0.0002805285,0.007438977,0.00020826752,0.00013429136,0.00034952778,0.000102513935,0.00005646186,0.0008430566],"genre_scores_gemma":[0.9599923,0.000029195533,0.03924515,0.000059142185,0.00016599239,0.0000064025926,0.000015366208,0.000012674142,0.000473802],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99800795,0.0004913109,0.00027850113,0.0005547183,0.00033573355,0.00033176885],"domain_scores_gemma":[0.9991144,0.0003075821,0.000106609456,0.00019917516,0.00012653111,0.00014573771],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017244836,0.00017055427,0.00031887795,0.000014311724,0.0006581562,0.00012777407,0.00016007609,0.00019498711,0.0005698938],"category_scores_gemma":[0.000046919235,0.0001614135,0.00025821527,0.00018099905,0.00035755883,0.0003536711,0.000024153542,0.00026687494,0.000003879215],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007116514,0.00008355715,0.4088793,0.000008915758,0.000029267549,6.088249e-7,0.58577895,0.0000034708792,0.004100285,0.00068871386,0.000016634767,0.00040313046],"study_design_scores_gemma":[0.0003750945,0.000019759913,0.4697956,0.000011987322,0.000076407116,1.0985031e-7,0.527402,0.00061647076,0.00019892574,0.0012765845,0.0000151396625,0.00021189536],"about_ca_topic_score_codex":0.04076475,"about_ca_topic_score_gemma":0.0010824328,"teacher_disagreement_score":0.06091631,"about_ca_system_score_codex":0.00015483687,"about_ca_system_score_gemma":0.00020606241,"threshold_uncertainty_score":0.9656229},"labels":[],"label_agreement":null},{"id":"W2951403241","doi":"10.2196/13643","title":"Pedal-Assist Mountain Bikes: A Pilot Study Comparison of the Exercise Response, Perceptions, and Beliefs of Experienced Mountain Bikers","year":2019,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Brigham Young University","keywords":"Population; Perception; Data collection; Demography; Psychology; Medicine; Physical therapy; Environmental health; Statistics; Mathematics","score_opus":0.07944195079353077,"score_gpt":0.4561050715696099,"score_spread":0.3766631207760791,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2951403241","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99590975,0.00011943486,0.000009152164,0.00025588853,0.00006126443,0.0020486633,0.000029776185,0.000018570363,0.001547485],"genre_scores_gemma":[0.99897087,0.000019148716,0.000022310527,0.0000057545644,0.000016636006,0.00017750257,0.0000026987516,0.000008997984,0.0007761052],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99577105,0.0014989839,0.00052376965,0.0002792852,0.0014866674,0.00044023606],"domain_scores_gemma":[0.99824566,0.00054274424,0.00019208615,0.00045154282,0.00045237518,0.000115587216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045591337,0.00013013354,0.00036275323,0.00025294078,0.0007786783,0.00007450787,0.00069100334,0.00006437059,0.00029485073],"category_scores_gemma":[0.00016134027,0.00009102036,0.00006658947,0.001233989,0.0016707659,0.00058712857,0.00017522142,0.0003876175,0.00001683208],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00087534136,0.00094461633,0.7081624,0.000068493486,0.000010572461,2.1596838e-7,0.28747708,0.0000016642148,0.0016272966,0.00019393295,0.00012355615,0.0005147926],"study_design_scores_gemma":[0.00047013783,0.0009957891,0.6382448,0.000072661365,0.000004136909,4.0395527e-8,0.35938668,0.000044625936,0.00046716532,0.00013235357,0.000110808614,0.0000708073],"about_ca_topic_score_codex":0.0044449056,"about_ca_topic_score_gemma":0.0019538214,"teacher_disagreement_score":0.0719096,"about_ca_system_score_codex":0.00019044944,"about_ca_system_score_gemma":0.00039482885,"threshold_uncertainty_score":0.67193973},"labels":[],"label_agreement":null},{"id":"W2952987575","doi":"10.5383/jttm.01.01.002","title":"Dynamic, multi- and intermodal bike sharing in agent-based modelling","year":2019,"lang":"en","type":"article","venue":"International Journal of Traffic and Transportation Management","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Bundesministerium für Verkehr, Innovation und Technologie","keywords":"Bike sharing; TRIPS architecture; Cycling; Transport engineering; Public transport; Parking space; Computer science; Traffic congestion; Multimodal transport; Environmental science; Operations research; Simulation; Engineering; Geography","score_opus":0.01946961776203312,"score_gpt":0.29720149688174574,"score_spread":0.27773187911971264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2952987575","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9739438,0.00014891011,0.02472978,0.00045742554,0.0003454396,0.00013996576,0.000005668579,0.000010075104,0.00021893042],"genre_scores_gemma":[0.99649113,0.00024058443,0.0029893373,0.00006408117,0.000019418158,0.0000018630611,0.000011801042,0.000005536072,0.0001762225],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990129,0.000016768607,0.0003754356,0.00015353678,0.00033422167,0.000107151194],"domain_scores_gemma":[0.99964297,0.000021730088,0.00015145862,0.000041997748,0.00008489648,0.0000569774],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039614507,0.000075596225,0.00012035693,0.00023053045,0.00003994732,0.000066316796,0.00019432777,0.000034705285,0.000060282255],"category_scores_gemma":[0.0000018144736,0.000073359326,0.000054378997,0.00007509358,0.000054143413,0.000331052,0.000003815422,0.00010292505,0.0000013626326],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036839058,0.0003864992,0.6487996,0.00013610566,0.0002098819,0.00022608372,0.0103584435,0.29142118,0.000024750494,0.005293741,0.0000058442643,0.042769488],"study_design_scores_gemma":[0.0034234927,0.0000474127,0.74586725,0.00029211902,0.00006330079,8.08216e-7,0.0038036024,0.24467295,0.00000704486,0.00040595044,0.0012227657,0.0001932734],"about_ca_topic_score_codex":0.00009613845,"about_ca_topic_score_gemma":0.001201537,"teacher_disagreement_score":0.09706766,"about_ca_system_score_codex":0.00005661729,"about_ca_system_score_gemma":0.000022807,"threshold_uncertainty_score":0.29915065},"labels":[],"label_agreement":null},{"id":"W2953008516","doi":"10.48550/arxiv.1507.00364","title":"Predicting Ambulance Demand: a Spatio-Temporal Kernel Approach","year":2015,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Kernel density estimation; Computer science; Software deployment; Kernel (algebra); Exploit; Temporal scales; Task (project management); Temporal database; Data mining; Scale (ratio); Geography; Cartography; Statistics; Engineering; Mathematics","score_opus":0.09901505860775021,"score_gpt":0.23012504804074058,"score_spread":0.13110998943299035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2953008516","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9300935,0.00015503196,0.012929772,0.00004338457,0.00067601074,0.0005361491,0.000056434415,0.00035058532,0.05515909],"genre_scores_gemma":[0.99396145,0.00006064327,0.00032139977,0.000034228462,0.00063125923,0.0000022049524,0.00017059041,0.000023228797,0.00479499],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976164,0.00028667785,0.00027496455,0.0010703425,0.0002400486,0.0005115643],"domain_scores_gemma":[0.9981513,0.00005537065,0.00036505118,0.0006505989,0.00041716834,0.00036051738],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011332518,0.0003041193,0.0004294695,0.00012781065,0.00045317275,0.0001259908,0.00108436,0.0005068448,0.000112430134],"category_scores_gemma":[0.00015293717,0.00035123015,0.00022907932,0.00048725668,0.00048536118,0.0004259348,0.0003538852,0.000710042,0.00003622344],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007502744,0.00014315986,0.9751616,0.00010181997,0.000059905964,0.00005363443,0.00393094,0.014987551,3.466298e-7,0.0048257457,0.00060455216,0.000055694883],"study_design_scores_gemma":[0.004871074,0.00018454675,0.37962094,0.0007317731,0.0013983555,0.0000014245865,0.019796954,0.33185655,0.000039213373,0.2250818,0.03151637,0.0049009807],"about_ca_topic_score_codex":0.01309612,"about_ca_topic_score_gemma":0.007998978,"teacher_disagreement_score":0.59554064,"about_ca_system_score_codex":0.00041831326,"about_ca_system_score_gemma":0.0008354607,"threshold_uncertainty_score":0.99989396},"labels":[],"label_agreement":null},{"id":"W2953117225","doi":"","title":"Improving accessibility to transit: An examination of the public transportation system for older adults in Winnipeg, Manitoba","year":2017,"lang":"en","type":"dissertation","venue":"Mspace (University of Manitoba)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Public transport; Transit (satellite); Gerontology; Light rail transit; Transport engineering; Transit system; Rapid transit; Rail transit; Engineering; Medicine","score_opus":0.019550638123713656,"score_gpt":0.25154775160883186,"score_spread":0.2319971134851182,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2953117225","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949168,0.0000480308,0.00047598622,0.00028168043,0.0006599394,0.0021002223,0.00018173903,0.000049098147,0.0012865028],"genre_scores_gemma":[0.9989748,0.000007256122,0.0001955719,0.00000407085,0.00007277147,0.000006890098,0.0003710457,0.000020158519,0.00034746362],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979152,0.00022813445,0.00032607012,0.0005927681,0.00061297824,0.0003248171],"domain_scores_gemma":[0.9977664,0.000064787964,0.0008331067,0.00058866205,0.0006247762,0.00012230747],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011659623,0.00022522103,0.00046905057,0.00026141666,0.0008159124,0.00007097269,0.001321053,0.00043001972,0.000009020267],"category_scores_gemma":[0.00007306596,0.0002472859,0.00025459012,0.00038259034,0.00018836482,0.0012818379,0.000009602502,0.00022007801,0.0000010554137],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010490046,0.000741103,0.7983121,0.006593202,0.00007577552,0.000011063311,0.07510811,0.000016083974,0.0010537871,0.0010809978,0.000050764553,0.115907975],"study_design_scores_gemma":[0.00067399535,0.000042585732,0.8075563,0.00049842545,0.00010456159,2.9700622e-8,0.1903297,0.000060459355,0.00041107164,0.000026134674,0.000105263956,0.0001914902],"about_ca_topic_score_codex":0.052627224,"about_ca_topic_score_gemma":0.9905039,"teacher_disagreement_score":0.9378767,"about_ca_system_score_codex":0.00038258397,"about_ca_system_score_gemma":0.00040509482,"threshold_uncertainty_score":0.9999979},"labels":[],"label_agreement":null},{"id":"W2953132528","doi":"10.5198/jtlu.2019.1188","title":"Building a PECAS Activity Allocation Module: The experience from Caracas","year":2019,"lang":"en","type":"article","venue":"Journal of Transport and Land Use","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Equity (law); Slum; Listing (finance); Social equality; Context (archaeology); Population; Transport engineering; Economics; Computer science; Business; Environmental economics; Engineering; Finance; Geography","score_opus":0.02763077299165829,"score_gpt":0.30000437863470686,"score_spread":0.2723736056430486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2953132528","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99813956,0.00021531183,0.0005208251,0.0005682003,0.00028781363,0.00010375077,0.000007578076,0.000008025613,0.00014895835],"genre_scores_gemma":[0.99919933,0.00015531633,0.00020675836,0.000056078232,0.00021565553,0.0000010141524,0.0000012616922,0.0000043841405,0.00016019352],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991839,0.00004605965,0.00020989843,0.00011625797,0.000306009,0.00013789628],"domain_scores_gemma":[0.9994549,0.00009935798,0.0001664769,0.00010994434,0.00008082601,0.00008845769],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041188308,0.00007520026,0.00016708969,0.000028342827,0.00019359434,0.0000666913,0.00017969104,0.00006272077,0.00012643037],"category_scores_gemma":[0.000014796865,0.000046292676,0.00008390791,0.00010411875,0.000105272935,0.00084403914,0.0000033249478,0.00018441882,9.543184e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000088128516,0.000034721903,0.9848418,0.0000048137663,0.000016944025,0.000009595863,0.012536354,0.0000113680635,0.0007631311,0.000106712556,0.000009666489,0.0015767672],"study_design_scores_gemma":[0.00029147614,0.000023516946,0.9913456,0.000028178261,0.000040343366,0.0000011331821,0.0006555943,0.000034175562,0.00026578418,0.00039561733,0.006846462,0.000072141804],"about_ca_topic_score_codex":0.0063203024,"about_ca_topic_score_gemma":0.0032876472,"teacher_disagreement_score":0.01188076,"about_ca_system_score_codex":0.000020636988,"about_ca_system_score_gemma":0.00008081464,"threshold_uncertainty_score":0.9554449},"labels":[],"label_agreement":null},{"id":"W2953766829","doi":"10.1249/01.mss.0000562984.76676.f2","title":"Visualization Analysis of International Research of Physical Activity Promoted built environment","year":2019,"lang":"en","type":"article","venue":"Medicine & Science in Sports & Exercise","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Built environment; Promotion (chess); China; Geography; Physical activity; Regional science; Political science; Engineering; Civil engineering; Medicine","score_opus":0.0437183160853144,"score_gpt":0.4037028635057006,"score_spread":0.3599845474203862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2953766829","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956988,0.0000093503295,0.00005656321,0.0002473267,0.0001476618,0.00038922686,0.0000030497993,0.000009022548,0.00343896],"genre_scores_gemma":[0.9995153,0.00007843053,0.000022422479,0.000003881833,0.000042383374,0.000008164374,0.0000075863463,0.0000032119792,0.00031861165],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9963433,0.00007320166,0.00029937382,0.00039595796,0.0026134772,0.00027469656],"domain_scores_gemma":[0.9990569,0.00008856246,0.00019552156,0.00031808953,0.00024591602,0.000095059804],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004769459,0.000076771175,0.0003754576,0.0009238549,0.000102407364,0.000010076858,0.00059355405,0.00004190502,0.0011012431],"category_scores_gemma":[0.00019077903,0.00006172237,0.000064255575,0.0042277263,0.0024093436,0.00061186135,0.000061275445,0.00012857084,0.0000028784075],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030384808,0.00039463173,0.9762769,0.000012406534,0.0000016615198,0.0000020559805,0.00944072,0.00015493394,0.00353041,0.000115166076,0.000004387533,0.010036372],"study_design_scores_gemma":[0.00015471796,0.000046682777,0.9938846,0.00008133821,0.000052028092,1.43773e-8,0.001519234,0.0032341932,0.00059912296,0.00019847344,0.00017326149,0.000056302306],"about_ca_topic_score_codex":0.0056292517,"about_ca_topic_score_gemma":0.0004217891,"teacher_disagreement_score":0.017607762,"about_ca_system_score_codex":0.00015407968,"about_ca_system_score_gemma":0.00024689108,"threshold_uncertainty_score":0.9998119},"labels":[],"label_agreement":null},{"id":"W2953917655","doi":"10.29173/mocs81","title":"Accessibility-Based Location Selection for Building Panelized Housing for Seniors","year":2019,"lang":"en","type":"article","venue":"Modular and Offsite Construction (MOC) Summit Proceedings","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"Tianjin Science and Technology Committee; Alberta Innovates","keywords":"Unit (ring theory); Quality (philosophy); Transport engineering; Selection (genetic algorithm); Business; Subdivision; Set (abstract data type); Environmental economics; Architectural engineering; Computer science; Engineering; Civil engineering; Economics","score_opus":0.015577747676229674,"score_gpt":0.2835381734748504,"score_spread":0.2679604257986207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2953917655","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93297553,0.00008289076,0.06396721,0.00031570095,0.0005378802,0.0016493767,0.00001318531,0.00021031413,0.0002479153],"genre_scores_gemma":[0.9757389,0.000010348782,0.02346074,0.00009049922,0.0003452522,0.000106575,0.00003081733,0.000026194128,0.00019070266],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99821204,0.000022034743,0.00039371962,0.0006728909,0.0002831084,0.00041621047],"domain_scores_gemma":[0.99861187,0.00008654417,0.00026705314,0.000094508876,0.00081002153,0.00013000303],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009350611,0.00020811,0.0003055007,0.00018415581,0.0009278648,0.00035049493,0.00015564257,0.00023277606,0.00003854271],"category_scores_gemma":[0.0001488046,0.00021660203,0.00014272123,0.0005379911,0.00025115133,0.0010781531,0.000013830299,0.00013031226,0.0000018498603],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003199875,0.000049115697,0.9586215,0.0005501792,0.000029306788,6.192543e-8,0.00076234306,0.000057349087,0.011091901,0.0043290514,0.00006124281,0.024127964],"study_design_scores_gemma":[0.020189447,0.001067758,0.4774617,0.0011741882,0.0012551425,0.000006468685,0.023714913,0.16876861,0.14188266,0.04546091,0.1148308,0.004187411],"about_ca_topic_score_codex":0.00029667997,"about_ca_topic_score_gemma":0.00031051607,"teacher_disagreement_score":0.4811598,"about_ca_system_score_codex":0.00017446853,"about_ca_system_score_gemma":0.00018227525,"threshold_uncertainty_score":0.8832774},"labels":[],"label_agreement":null},{"id":"W2954165813","doi":"10.1371/journal.pone.0218773","title":"Demand and level of service inflation in Floating Catchment Area (FCA) methods","year":2019,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":93,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto; McMaster University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Catchment area; Population; Computer science; Metropolitan area; Service (business); Econometrics; Operations research; Economics; Geography; Business; Drainage basin; Engineering; Medicine; Marketing; Cartography","score_opus":0.19477061450369998,"score_gpt":0.3608555640768487,"score_spread":0.16608494957314873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2954165813","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958995,0.000094235686,0.00021480763,0.000394479,0.000016397726,0.00021418705,0.000003582304,0.000010216184,0.0031526033],"genre_scores_gemma":[0.9877595,0.000010275599,0.011972614,0.000050170143,0.000019824198,0.0000029169673,0.0000031595596,0.0000026257906,0.00017896353],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99935246,0.00008692838,0.00016252804,0.000117258736,0.00018051609,0.00010031192],"domain_scores_gemma":[0.99965525,0.0001049908,0.000068068206,0.00007998109,0.000061445004,0.000030255314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008139659,0.000041168485,0.00013352148,0.000031470932,0.000044653978,0.0000114926825,0.00006679456,0.00004518782,0.00008234227],"category_scores_gemma":[0.000051831754,0.00004046659,0.000010382877,0.00018484266,0.000028382829,0.0001717308,0.000013678615,0.000054557953,0.0000026107948],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000069785206,0.00012226796,0.9738473,0.00010217695,0.000010629331,1.1189808e-7,0.00882105,0.0000055928417,0.015948895,0.000108912056,7.39119e-7,0.0010253097],"study_design_scores_gemma":[0.00024051088,0.000013078546,0.9789337,0.00011720946,0.000022919525,5.9004157e-9,0.0010648316,0.0007478896,0.01764795,0.0011269088,0.000017756276,0.00006726719],"about_ca_topic_score_codex":0.0052726264,"about_ca_topic_score_gemma":0.010198468,"teacher_disagreement_score":0.011757806,"about_ca_system_score_codex":0.000025508189,"about_ca_system_score_gemma":0.000038542774,"threshold_uncertainty_score":0.7970669},"labels":[],"label_agreement":null},{"id":"W2954239584","doi":"10.1093/med/9780198804949.003.0019","title":"A tale of two cities: urban mental health in Vancouver and New York City","year":2019,"lang":"en","type":"book-chapter","venue":"Oxford University Press eBooks","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Statutory law; Local government; State (computer science); Urbanization; Public administration; Government (linguistics); Order (exchange); Service (business); Business; Mental health; Municipal services; Economic growth; Political science; Economics; Finance; Law; Medicine","score_opus":0.03605715343945627,"score_gpt":0.25067996852245555,"score_spread":0.2146228150829993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2954239584","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007942235,0.00029629513,0.000027242002,0.00004654775,0.00027741477,0.00059895695,0.00024196361,0.000037110425,0.9905322],"genre_scores_gemma":[0.035172112,0.00020663036,0.00011179137,0.00005771795,0.00007615786,1.4055982e-7,0.000021340014,0.000014274378,0.96433985],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99880457,0.000044112803,0.00022402847,0.00037262912,0.00027777028,0.00027689556],"domain_scores_gemma":[0.99921894,0.000041080075,0.00027666352,0.00023916701,0.00003477393,0.0001893769],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020768946,0.00020270003,0.00045708558,0.00012352737,0.00020163693,0.000021111538,0.00035299401,0.0002125249,0.00014220277],"category_scores_gemma":[0.0000024567719,0.00023801178,0.00012032763,0.000016034146,0.0004807725,0.00015051004,0.00010420278,0.00027901304,2.0180195e-7],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005054811,0.00008513591,0.045823738,0.00045046114,0.00018951039,0.000029091689,0.054232243,0.0000027399578,0.000004594734,0.8290538,0.057225883,0.01239728],"study_design_scores_gemma":[0.00087732926,0.000045913665,0.0005479231,0.00019625062,0.000027002823,7.537395e-8,0.00084073935,0.0000024821206,0.000004669759,0.0016262123,0.9956081,0.0002233136],"about_ca_topic_score_codex":0.022333117,"about_ca_topic_score_gemma":0.076154485,"teacher_disagreement_score":0.9383822,"about_ca_system_score_codex":0.00026598613,"about_ca_system_score_gemma":0.000741995,"threshold_uncertainty_score":0.98417723},"labels":[],"label_agreement":null},{"id":"W2954284932","doi":"10.1111/cag.12549","title":"Examining social inclusion among pedestrian plans in Canada","year":2019,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"McGill University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Pedestrian; Inclusion (mineral); Outreach; Stakeholder; Recreation; Political science; Public relations; Socioeconomic status; Social engagement; Public administration; Economic growth; Population; Medicine; Psychology; Environmental health; Economics; Transport engineering; Engineering; Social psychology","score_opus":0.012664631183855342,"score_gpt":0.21026458857303595,"score_spread":0.19759995738918062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2954284932","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9776092,0.00044405923,2.4202714e-7,0.0011004546,0.0011248532,0.0005988974,0.0002324215,0.000067206034,0.018822646],"genre_scores_gemma":[0.9985722,0.000192741,0.000011695711,0.0004526092,0.00020500965,0.000039302562,0.0001005471,0.000037048823,0.00038888803],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99616224,0.00018604757,0.00053775776,0.00069246767,0.0005786915,0.0018427917],"domain_scores_gemma":[0.9979893,0.00016789699,0.0001609827,0.00037453012,0.00012722971,0.0011800433],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0006514141,0.00036735792,0.0004972822,0.0023697284,0.0022282999,0.00012985735,0.0009153621,0.00025652078,0.0005518923],"category_scores_gemma":[0.000077057644,0.0004199753,0.0001619694,0.0053857043,0.0010952676,0.00054952246,0.00009444521,0.00043167485,0.00000572725],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001189643,0.0000091206675,0.9858696,0.000032622153,0.000028868812,0.00012257913,0.00925705,0.000008319751,0.0000032446446,0.0010295659,0.0012013541,0.0024257759],"study_design_scores_gemma":[0.00034444197,0.000023501678,0.91507334,0.0000485109,0.000018028646,4.938374e-7,0.051565986,0.0000059761746,0.000002143503,0.0006306838,0.03178068,0.0005062206],"about_ca_topic_score_codex":0.9999793,"about_ca_topic_score_gemma":0.99999994,"teacher_disagreement_score":0.070796266,"about_ca_system_score_codex":0.0011299121,"about_ca_system_score_gemma":0.0047299834,"threshold_uncertainty_score":0.9998252},"labels":[],"label_agreement":null},{"id":"W2954577748","doi":"","title":"The Effects of Healthy Built Environments on Perceived Quality of Life","year":2018,"lang":"en","type":"article","venue":"Student Research Proceedings","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"MacEwan University","funders":"","keywords":"Walkability; Neighbourhood (mathematics); Built environment; Perception; Quality of life (healthcare); Gerontology; Environmental health; Psychology; Survey data collection; Applied psychology; Geography; Medicine; Engineering; Civil engineering","score_opus":0.14198306327028107,"score_gpt":0.49758115046524615,"score_spread":0.3555980871949651,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2954577748","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9800723,0.000117331525,0.0000013515329,0.0008998756,0.00011663329,0.000818634,0.0000017170701,0.000012996298,0.017959114],"genre_scores_gemma":[0.9981863,0.00028896518,0.0000107421,0.000050594903,0.0002411476,0.000044901783,4.4084382e-7,0.0000068512195,0.0011700733],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99635005,0.00021170867,0.0003785728,0.0002831718,0.0022610847,0.000515418],"domain_scores_gemma":[0.9983955,0.0007156572,0.00015709166,0.00017056633,0.00036653847,0.0001946425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006082432,0.00008498264,0.00020711988,0.000067922076,0.0009829438,0.000053520704,0.00085174234,0.0000725622,0.000049011018],"category_scores_gemma":[0.001934875,0.000057733014,0.00007159939,0.0003762076,0.0023836847,0.00013859863,0.00011924379,0.00027656148,0.000019627141],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034985176,0.000493344,0.941713,0.00023234604,0.000035479265,2.1528552e-7,0.0392256,9.0807e-9,0.010193255,0.0054168394,0.0011723019,0.0011677875],"study_design_scores_gemma":[0.00036648664,0.00074564066,0.98463887,0.000052531766,0.0000035218154,4.0312282e-9,0.007524282,3.6355212e-7,0.002117681,0.0012005321,0.0032943226,0.000055775305],"about_ca_topic_score_codex":0.003564296,"about_ca_topic_score_gemma":0.0011820612,"teacher_disagreement_score":0.04292589,"about_ca_system_score_codex":0.00011964954,"about_ca_system_score_gemma":0.00018753437,"threshold_uncertainty_score":0.8782786},"labels":[],"label_agreement":null},{"id":"W2954666790","doi":"","title":"Local transportation system and sustainable communities: the case of Churchill, Canada","year":2018,"lang":"en","type":"dissertation","venue":"Mspace (University of Manitoba)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Environmental planning; Geography; Regional science; Engineering; Transport engineering","score_opus":0.009616775011578226,"score_gpt":0.21279966561526417,"score_spread":0.20318289060368594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2954666790","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9911897,0.00018024894,0.000106899315,0.00016654668,0.00014209599,0.00030673633,0.00009427758,0.000018598772,0.0077948594],"genre_scores_gemma":[0.99794877,0.000036682617,0.000028194716,0.000004724036,0.000026450614,3.4498737e-7,0.00017493992,0.0000074835,0.0017723935],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99914026,0.00014133671,0.00012185957,0.00013220517,0.00025099437,0.00021332334],"domain_scores_gemma":[0.99898475,0.00008664212,0.00028002597,0.00021228899,0.00037231247,0.0000640008],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040130527,0.00011609834,0.0002529186,0.00006316525,0.0011763799,0.000015223256,0.00033483747,0.00015116944,0.000020780235],"category_scores_gemma":[0.000005494997,0.00012089699,0.00006314595,0.00019896751,0.0006042042,0.00018187404,0.000009462938,0.00016569559,3.9841422e-7],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012302223,0.00030088847,0.4213471,0.016215637,0.00074745977,0.0037203766,0.47070342,0.0000668742,0.000023295519,0.065372236,0.014993102,0.005279362],"study_design_scores_gemma":[0.00014376399,0.000023451641,0.17407355,0.00010459085,0.00013824031,0.0000010248391,0.8215354,0.000029625679,0.00001390871,0.000047944253,0.0037912803,0.00009721362],"about_ca_topic_score_codex":0.99637926,"about_ca_topic_score_gemma":0.9999848,"teacher_disagreement_score":0.350832,"about_ca_system_score_codex":0.0002354989,"about_ca_system_score_gemma":0.0008197177,"threshold_uncertainty_score":0.90478814},"labels":[],"label_agreement":null},{"id":"W2954738144","doi":"10.3917/turb.109.0007","title":"Essor et potentialités des BRT - BHNS","year":2006,"lang":"fr","type":"article","venue":"Transports urbains","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Art","score_opus":0.025688047854762166,"score_gpt":0.29467986896876697,"score_spread":0.2689918211140048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2954738144","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8610552,0.01190325,0.004924327,0.0058667045,0.0023660455,0.0005468874,0.0004055229,0.00032668706,0.11260537],"genre_scores_gemma":[0.9019687,0.00046284634,0.0008897382,0.00043459496,0.001015986,0.000020384305,0.00023864086,0.000061361374,0.09490773],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9959942,0.00026382293,0.0008945105,0.00081842835,0.00078484154,0.0012441874],"domain_scores_gemma":[0.9986845,0.00008372579,0.00020942332,0.0005012166,0.00016016845,0.00036092542],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00101776,0.000488517,0.00056398904,0.00010860748,0.0007846149,0.00015567214,0.0005336916,0.00047402913,0.0057145497],"category_scores_gemma":[0.000010097325,0.00051803904,0.00057012914,0.0009607329,0.0023331898,0.0011656472,0.0000116622705,0.0004822146,0.00017631016],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006489757,0.0016206662,0.845248,0.00034666384,0.00009035573,0.0004202363,0.011044689,0.00019899914,0.00024944928,0.12880196,0.0040225396,0.0078915395],"study_design_scores_gemma":[0.0005780209,0.000047944788,0.740358,0.00015010429,0.00028856803,0.0000024188373,0.0004170389,0.000018204035,0.00018624785,0.02700173,0.23038718,0.00056453265],"about_ca_topic_score_codex":0.09255624,"about_ca_topic_score_gemma":0.11955854,"teacher_disagreement_score":0.22636464,"about_ca_system_score_codex":0.00019920465,"about_ca_system_score_gemma":0.00043233566,"threshold_uncertainty_score":0.99972713},"labels":[],"label_agreement":null},{"id":"W2954820101","doi":"","title":"Intérêt du géo-positionnement satellitaire dans l'estimation de la dépense énergétique lors de la marche et la course en extérieur : validité et comparaison avec l'accélérométrie.","year":2013,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Humanities; Physics; Philosophy","score_opus":0.014331531060818584,"score_gpt":0.2938979250435742,"score_spread":0.2795663939827556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2954820101","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8071331,0.0006380098,0.12033243,0.019160211,0.00025393817,0.0009801205,0.0001324985,0.00030903312,0.05106067],"genre_scores_gemma":[0.9542742,0.0023462977,0.036474477,0.0003437575,0.00008543945,0.0002730782,0.0010603151,0.00008916581,0.0050532804],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9407144,0.0551275,0.0011440204,0.0012088347,0.00094343565,0.00086179515],"domain_scores_gemma":[0.9854237,0.00977015,0.0009997464,0.0017438557,0.0014530579,0.0006094841],"candidate_categories":["metaresearch","metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.035154648,0.0007308486,0.0007555517,0.00018830638,0.0011188515,0.0014053278,0.002076269,0.0011022586,0.0007548638],"category_scores_gemma":[0.0019736572,0.0008106304,0.00047561905,0.0007433702,0.0028149849,0.00077347964,0.00073373236,0.0019598478,0.000105390165],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006421952,0.0036779924,0.19068125,0.0004392734,0.00022942321,0.0000608879,0.23846184,0.0028761069,0.0022414695,0.5314758,0.0018825729,0.027909162],"study_design_scores_gemma":[0.001502103,0.0000045608735,0.83205575,0.003229795,0.00042422704,0.00004737554,0.0054889303,0.038686257,0.0117384475,0.053281724,0.05204792,0.001492917],"about_ca_topic_score_codex":0.02351316,"about_ca_topic_score_gemma":0.013252452,"teacher_disagreement_score":0.64137447,"about_ca_system_score_codex":0.00090145005,"about_ca_system_score_gemma":0.001887268,"threshold_uncertainty_score":0.9998988},"labels":[],"label_agreement":null},{"id":"W2955023632","doi":"10.1016/b978-0-12-814818-1.00011-1","title":"Distribution of transportation “goods” and “bads” in a Canadian metropolis: A diagnosis of the situation and potential interventions to tackle environmental disparities","year":2019,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Equity (law); Geography; Transport engineering; Scale (ratio); Distribution (mathematics); Environmental justice; Weighting; Business; Environmental planning; Cartography; Engineering; Ecology; Medicine","score_opus":0.012416445814153524,"score_gpt":0.25139548659974204,"score_spread":0.23897904078558851,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2955023632","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9535422,0.00096720963,0.000011863197,0.00030981825,0.00016779636,0.0011412714,0.0026539052,0.0000058117366,0.041200127],"genre_scores_gemma":[0.96809995,0.00014989277,0.000010652087,0.000018439918,0.000025306079,0.000022614737,0.00018012301,0.000008407117,0.031484604],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99904156,0.000041737883,0.000360874,0.00019665004,0.00020712458,0.00015204564],"domain_scores_gemma":[0.9995569,0.000027423099,0.00017382318,0.00012456447,0.000020564521,0.000096724805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025687093,0.00011848116,0.00024308467,0.000090117355,0.00011403697,0.000017456843,0.000111225054,0.00014359578,0.0000678859],"category_scores_gemma":[0.0000136079825,0.00010563681,0.00012989205,0.000023598352,0.00035591054,0.00008113679,0.000011531957,0.000115386145,7.0612913e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032010998,0.00005248817,0.78589916,0.00052592193,0.00006768234,0.0000021904898,0.008161059,0.000004304788,0.00003682631,0.017353049,0.000027271612,0.18783805],"study_design_scores_gemma":[0.0002194998,0.00004733258,0.97463584,0.0006348346,0.00019338331,9.602202e-8,0.0004672532,0.0000019713257,0.000061604835,0.003698725,0.019867096,0.00017237185],"about_ca_topic_score_codex":0.03382753,"about_ca_topic_score_gemma":0.7636043,"teacher_disagreement_score":0.72977674,"about_ca_system_score_codex":0.00015634178,"about_ca_system_score_gemma":0.00014689603,"threshold_uncertainty_score":0.9726063},"labels":[],"label_agreement":null},{"id":"W2955063069","doi":"10.5888/pcd16.180469","title":"An Objective Walkability Index for Public Health and Planning in Peel Region, Ontario, Canada","year":2019,"lang":"en","type":"article","venue":"Preventing Chronic Disease","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Public Health Ontario","funders":"Centers for Disease Control and Prevention","keywords":"Medicine; Public health; Health promotion; Environmental health; Walkability; Chronic disease; Disease; Promotion (chess); Gerontology; Family medicine; Nursing; Physical therapy; Physical activity; Pathology","score_opus":0.029996965312808425,"score_gpt":0.3152343218187446,"score_spread":0.2852373565059362,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2955063069","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99689245,0.00070309715,0.00013278019,0.00075205136,0.00019105317,0.00087853364,0.00000984504,0.000031862735,0.00040832043],"genre_scores_gemma":[0.99911684,0.0000033148056,0.000026390913,0.00014681154,0.000095310636,0.000037171783,0.000034316025,0.000008172895,0.00053167413],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99844146,0.00016132068,0.00024671064,0.0004258407,0.00022688875,0.00049777236],"domain_scores_gemma":[0.99900687,0.00008651667,0.00012655836,0.00022275,0.000065289336,0.00049198867],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095415005,0.000102570826,0.0001786926,0.000040436167,0.00030750892,0.0000756574,0.00019339428,0.000037513768,0.00008396137],"category_scores_gemma":[0.00018415095,0.00010822809,0.00004327589,0.0001434788,0.000082300736,0.00047966623,0.000022093764,0.00013621713,3.0837404e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003171393,0.000090616224,0.9897605,0.00016325248,0.0000061158653,0.0000025197326,0.0072952025,0.000021697804,2.9882924e-7,0.0001860759,0.00008529665,0.0023567183],"study_design_scores_gemma":[0.0005005801,0.00002928095,0.9919733,0.000073991534,0.000005274415,3.7023987e-8,0.0024608462,0.0003562788,3.7376157e-7,0.0015900166,0.0028813519,0.00012870185],"about_ca_topic_score_codex":0.95849776,"about_ca_topic_score_gemma":0.99713856,"teacher_disagreement_score":0.038640782,"about_ca_system_score_codex":0.00200463,"about_ca_system_score_gemma":0.01823462,"threshold_uncertainty_score":0.9873311},"labels":[],"label_agreement":null},{"id":"W2955131677","doi":"","title":"Calcul a posteriori des distances dans les enquêtes ménages déplacements","year":2007,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Northern Studies","funders":"","keywords":"Mathematics; Geology","score_opus":0.025207202390190662,"score_gpt":0.28045130775694455,"score_spread":0.2552441053667539,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2955131677","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7447658,0.005890098,0.06808072,0.005017103,0.00062398147,0.00071203255,0.0002031914,0.00024779112,0.17445925],"genre_scores_gemma":[0.9043544,0.002519554,0.017562976,0.0000729198,0.000107434964,0.00006888409,0.0004281745,0.00005738819,0.074828245],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98918444,0.0062956093,0.0011023754,0.0013702589,0.0010490107,0.0009983111],"domain_scores_gemma":[0.9929331,0.0017894362,0.0008831557,0.0017844116,0.0021299701,0.00047993893],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.00986366,0.0006531094,0.00067444367,0.00016959192,0.0021664014,0.0007685067,0.0024189283,0.0006136256,0.0010667437],"category_scores_gemma":[0.0009476214,0.0006880828,0.00047771411,0.0009412715,0.0036764394,0.0005705741,0.0007844598,0.0008636844,0.000091060974],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005944324,0.0015448849,0.6336315,0.000566955,0.00021473915,0.000024176199,0.13971788,0.000020038822,0.0022506756,0.093736626,0.00030602262,0.12792705],"study_design_scores_gemma":[0.0012887918,0.0000026124649,0.6878113,0.006880566,0.0004010929,0.00000504119,0.011004751,0.0011120251,0.03533641,0.018611168,0.23544498,0.0021012358],"about_ca_topic_score_codex":0.037705157,"about_ca_topic_score_gemma":0.1670322,"teacher_disagreement_score":0.23513895,"about_ca_system_score_codex":0.0005827108,"about_ca_system_score_gemma":0.0004801664,"threshold_uncertainty_score":0.9998464},"labels":[],"label_agreement":null},{"id":"W2955517204","doi":"10.1016/j.pmedr.2019.100946","title":"Who are the ‘super-users’ of public bike share? An analysis of public bike share members in Vancouver, BC","year":2019,"lang":"en","type":"article","venue":"Preventive Medicine Reports","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia; British Columbia Centre of Excellence for Women's Health; Simon Fraser University","funders":"Canadian Institutes of Health Research; Simon Fraser University; Michael Smith Health Research BC","keywords":"Public transport; Injury surveillance; Bike sharing; Transport engineering; Business; Public health; Injury prevention; Internet privacy; Environmental health; Poison control; Computer security; Advertising; Computer science; Medicine; Engineering; Nursing","score_opus":0.04483673684768944,"score_gpt":0.3244911893276759,"score_spread":0.27965445247998644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2955517204","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9888259,0.00088208553,0.000055587694,0.0010238219,0.000565067,0.00074019027,0.000046750672,0.000038492475,0.00782207],"genre_scores_gemma":[0.99745375,0.00009946088,0.000015093682,0.000056466863,0.00010299746,0.000031427782,0.00014080276,0.000015747317,0.0020842662],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9957404,0.0005832744,0.0012303488,0.0006698947,0.001284826,0.0004912149],"domain_scores_gemma":[0.9967157,0.00023215548,0.0012270098,0.0009159669,0.0006705172,0.00023861254],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005198155,0.00022914624,0.0010185794,0.000650914,0.00014743695,0.00003381094,0.00059675897,0.00014724692,0.0055602132],"category_scores_gemma":[0.0011100584,0.00015619613,0.00033231577,0.0034768826,0.00068947434,0.0009281568,0.00008100692,0.00025835395,0.0000016209217],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007846921,0.0002289026,0.9874665,0.00008178904,0.00033277782,0.000033650453,0.009560966,0.000011743926,0.00006050649,0.00010306557,0.0005564778,0.0015557384],"study_design_scores_gemma":[0.00032555583,0.00006975944,0.96468717,0.00024258411,0.00046208288,5.122069e-7,0.028598525,0.00012270677,0.00006468469,0.00049698434,0.0047547366,0.00017470187],"about_ca_topic_score_codex":0.016200187,"about_ca_topic_score_gemma":0.18967631,"teacher_disagreement_score":0.17347613,"about_ca_system_score_codex":0.00015144509,"about_ca_system_score_gemma":0.0003771234,"threshold_uncertainty_score":0.9953488},"labels":[],"label_agreement":null},{"id":"W2955535156","doi":"10.4103/jfmpc.jfmpc_256_19","title":"Mental health conditions and the risk of road traffic accidents","year":2019,"lang":"en","type":"article","venue":"Journal of Family Medicine and Primary Care","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Medicine; Psychiatry; Schizophrenia (object-oriented programming); Mental health; Occupational safety and health; Injury prevention; Disease; Poison control; Psychomotor learning; Driving under the influence; Suicide prevention; Cognition; Medical emergency","score_opus":0.02326673079775875,"score_gpt":0.3317896502646671,"score_spread":0.30852291946690835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2955535156","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9708892,0.021783978,0.000002102971,0.0031223125,0.0003283401,0.00017706108,0.000021628866,0.0000027916742,0.0036725868],"genre_scores_gemma":[0.99096465,0.007906359,0.000021189699,0.0008615064,0.00016563511,4.0019773e-7,0.000008891882,0.0000025754473,0.00006879291],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989624,0.00018307965,0.0003398115,0.000069613365,0.0003470238,0.00009805672],"domain_scores_gemma":[0.9992216,0.00013278658,0.00036878508,0.0000678128,0.00011145355,0.00009754907],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010958711,0.00005830739,0.00030487598,0.000049796497,0.00020626718,0.000009899764,0.000114501076,0.000032049244,0.000047754267],"category_scores_gemma":[0.000033694247,0.00003201642,0.000060333776,0.0000935503,0.0004503284,0.00016944093,0.000010064528,0.00016725855,3.5469216e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029123866,0.000037323214,0.86271447,0.00017628072,0.000094457624,0.000004217529,0.09471456,0.0000033022345,0.00010733161,0.00012843178,0.0057160184,0.036012396],"study_design_scores_gemma":[0.002638115,0.00022111175,0.94456404,0.00018324489,0.00006886959,0.0000028345066,0.048388258,0.0000018785702,0.0000019665772,0.0001607132,0.0037312435,0.000037720314],"about_ca_topic_score_codex":0.0010882823,"about_ca_topic_score_gemma":0.00028101218,"teacher_disagreement_score":0.0818496,"about_ca_system_score_codex":0.00004291238,"about_ca_system_score_gemma":0.00023434023,"threshold_uncertainty_score":0.16592538},"labels":[],"label_agreement":null},{"id":"W2955548588","doi":"10.4324/9780203067390-25","title":"The United States and Canada: An Overview of Walking Research and Policies","year":2014,"lang":"en","type":"book-chapter","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Regional science; Geography","score_opus":0.1544036902787938,"score_gpt":0.387677285890617,"score_spread":0.2332735956118232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2955548588","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40382043,0.008602923,0.0000029987425,0.0028913266,0.00010214156,0.00041707337,0.000062623,0.000029672376,0.5840708],"genre_scores_gemma":[0.5139164,0.024869421,0.000016630856,0.00023117119,0.0001809436,0.0000029464768,0.000048525788,0.000020842172,0.46071315],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988735,0.00007910464,0.0001836084,0.00017362098,0.0004691033,0.00022110446],"domain_scores_gemma":[0.99890864,0.00049349666,0.00006999269,0.00017954034,0.00023947169,0.00010887504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013836873,0.00009266785,0.00017587074,0.00006274797,0.0006886012,0.00008918171,0.0002191127,0.00009619287,0.000106143794],"category_scores_gemma":[0.00003526414,0.0000591949,0.000014952133,0.000049456612,0.0012273843,0.000051839328,0.00004459765,0.0001900148,2.1806491e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000916577,0.0000041074272,0.019556893,0.00009537103,0.00002377649,0.0000013369319,0.0032773204,9.791485e-8,0.0000013946517,0.9694105,0.0018279053,0.005792142],"study_design_scores_gemma":[0.00006278519,0.000044031498,0.027142199,0.0001018011,0.000015359798,8.920082e-8,0.0027253295,0.000006866193,0.000006626331,0.09159095,0.8781634,0.00014054318],"about_ca_topic_score_codex":0.9849846,"about_ca_topic_score_gemma":0.99789697,"teacher_disagreement_score":0.87781954,"about_ca_system_score_codex":0.000052802054,"about_ca_system_score_gemma":0.0004147926,"threshold_uncertainty_score":0.5296233},"labels":[],"label_agreement":null},{"id":"W2955653012","doi":"","title":"Residential Location and Mobility: the Case of Teenagers Living in Quebec City Exurbia, Canada","year":2008,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geography; Demography; Sociology","score_opus":0.019311023812274092,"score_gpt":0.2630130904389895,"score_spread":0.24370206662671542,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2955653012","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961441,0.00007654474,0.00006347727,0.0004637127,0.000057099744,0.00014818806,0.0000014287149,0.000008626697,0.003036808],"genre_scores_gemma":[0.9980792,0.000011673292,0.00001750419,0.000044251607,0.00002971669,0.0000032041476,4.2470126e-7,0.0000016214512,0.0018124194],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993367,0.00010206822,0.00016899724,0.00013041521,0.00014055589,0.000121268225],"domain_scores_gemma":[0.9995506,0.00019242996,0.00004335052,0.00011962755,0.000053136915,0.000040868632],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055361993,0.000042107564,0.0000801554,0.000018893434,0.0002904349,0.000014874026,0.00009060277,0.000032702475,0.00013682162],"category_scores_gemma":[0.00014802492,0.000031197407,0.000013661156,0.00023716499,0.0003721724,0.00018566314,0.0000135959435,0.0000644169,1.3726503e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000038141093,0.000028727947,0.98862803,0.000013514293,0.0000026286666,0.0000779987,0.009618344,0.0000066193293,0.000008546704,0.0002920651,0.00027591072,0.0010438155],"study_design_scores_gemma":[0.00005008448,0.000002790834,0.98969495,0.000009373551,0.000004310773,0.000002046126,0.009842114,0.00004096623,0.00007426871,0.00013506223,0.00009701846,0.00004699485],"about_ca_topic_score_codex":0.9997894,"about_ca_topic_score_gemma":0.99998426,"teacher_disagreement_score":0.0019350704,"about_ca_system_score_codex":0.00010701241,"about_ca_system_score_gemma":0.0008464648,"threshold_uncertainty_score":0.22338198},"labels":[],"label_agreement":null},{"id":"W2956844423","doi":"10.1007/s11116-019-10036-4","title":"Modelling the dynamics between tour-based mode choices and tour-timing choices in daily activity scheduling","year":2019,"lang":"en","type":"article","venue":"Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Luonnontieteiden ja Tekniikan Tutkimuksen Toimikunta; University of Toronto","keywords":"Discrete choice; Mode choice; Mode (computer interface); Computer science; Empirical research; Operations research; Scheduling (production processes); Econometrics; Economics; Engineering; Operations management; Transport engineering; Mathematics; Statistics; Public transport","score_opus":0.038398538507584255,"score_gpt":0.31028950731663213,"score_spread":0.2718909688090479,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2956844423","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9657693,0.00007329691,0.03259161,0.00032293194,0.00008662096,0.0004060499,0.00003157719,0.00006241839,0.00065620395],"genre_scores_gemma":[0.998516,0.000017319462,0.0011134887,0.000033091423,0.00009664872,0.000012955603,0.0000744338,0.000013432026,0.0001226333],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99867153,0.00007606612,0.00027553178,0.00033690303,0.00034527574,0.00029469567],"domain_scores_gemma":[0.9993399,0.00024060851,0.0001422569,0.00015916485,0.000049639304,0.00006842244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006286336,0.00014142721,0.0002118248,0.0000770065,0.00031680835,0.000096162206,0.00021483179,0.00012980566,0.000052781543],"category_scores_gemma":[0.000008885825,0.00012167564,0.00006249856,0.00030578105,0.00012083664,0.00082472723,0.000001996998,0.0002542753,0.0000030328824],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028731536,0.000027078948,0.8431929,0.00005045757,0.000007436012,8.090595e-7,0.0043385485,0.14986083,0.00005930636,0.00039093746,2.8044897e-7,0.002042725],"study_design_scores_gemma":[0.0003861057,0.000013170362,0.6169938,0.000059736984,0.000038446684,9.014105e-9,0.0010685076,0.3805435,0.00013698435,0.0005437205,0.000053653064,0.0001624],"about_ca_topic_score_codex":0.024313,"about_ca_topic_score_gemma":0.117960386,"teacher_disagreement_score":0.23068269,"about_ca_system_score_codex":0.00007588367,"about_ca_system_score_gemma":0.000115401825,"threshold_uncertainty_score":0.9821842},"labels":[],"label_agreement":null},{"id":"W2957333329","doi":"10.1016/j.socscimed.2019.112406","title":"Spatial access to sport facilities from the multiple places visited and sport practice: Assessing and correcting biases related to selective daily mobility","year":2019,"lang":"en","type":"article","venue":"Social Science & Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":46,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Institut de Veille Sanitaire; National Health Insurance Service; Agence Nationale de la Recherche; Anaesthetics Research Society; National Health Insurance Administration; Institut National de Prévention et d'Éducation pour la Santé","keywords":"Sociology; Psychology; Applied psychology; Gerontology; Medicine","score_opus":0.0348407989967422,"score_gpt":0.37504534553036906,"score_spread":0.34020454653362686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2957333329","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9848661,0.00009933814,0.000047207683,0.006273656,0.00069598894,0.001026238,0.000021111022,0.0000953894,0.0068750056],"genre_scores_gemma":[0.9983877,0.000008701355,0.000047006793,0.0009304963,0.0003589385,0.000017679351,0.000010683115,0.000008402141,0.00023039545],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969965,0.00011434463,0.00041269776,0.00080711226,0.0011270918,0.0005422202],"domain_scores_gemma":[0.9976436,0.0011637986,0.0002298197,0.0002056526,0.00043157634,0.0003255358],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0043441514,0.00019638498,0.00039796904,0.000103189595,0.0021941229,0.00043238472,0.00057702104,0.000111643,0.00019473766],"category_scores_gemma":[0.004368019,0.00014061085,0.00003371015,0.0016317986,0.0020633943,0.0017683954,0.00014341781,0.00032157838,0.000006051782],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008950454,0.00003274389,0.87628007,0.0000059987096,0.000009025586,0.0000031213792,0.11315471,0.0000031077307,0.00039699927,0.000075407144,0.00011088036,0.00983846],"study_design_scores_gemma":[0.00035228822,0.00007310878,0.8894892,0.0000827387,0.000037643535,6.9526874e-7,0.10551074,0.00004553677,0.00014874287,0.00024050217,0.0038355214,0.00018331183],"about_ca_topic_score_codex":0.12188205,"about_ca_topic_score_gemma":0.015204606,"teacher_disagreement_score":0.10667744,"about_ca_system_score_codex":0.00021738009,"about_ca_system_score_gemma":0.00051516644,"threshold_uncertainty_score":0.99910486},"labels":[],"label_agreement":null},{"id":"W2958708731","doi":"10.1177/0042098019852033","title":"Mobility among older adults: Deconstructing the effects of motility and movement on wellbeing","year":2019,"lang":"en","type":"article","venue":"Urban Studies","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":72,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Canadian Institutes of Health Research; Institut National de la Santé et de la Recherche Médicale","keywords":"Appropriation; Happiness; Psychology; Motility; Well-being; Movement (music); Social psychology; Biology","score_opus":0.008553941345867795,"score_gpt":0.26729732224432223,"score_spread":0.25874338089845444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2958708731","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9941434,0.0023754206,0.0000021681694,0.00009587845,0.00038762044,0.0007556383,0.000002805593,0.00003265664,0.0022043625],"genre_scores_gemma":[0.99951816,0.00007357522,0.000024173787,0.0000688862,0.0000613546,0.000020278881,3.3390333e-7,0.000004624807,0.00022858709],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988262,0.00013057355,0.00024916403,0.0003065195,0.00026341743,0.0002240967],"domain_scores_gemma":[0.99866706,0.0008163998,0.00013060623,0.00025009195,0.0000947553,0.000041097646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000743096,0.00011889167,0.0002602413,0.000022481996,0.0003830359,0.000019767547,0.0001523175,0.000044552748,0.000025107352],"category_scores_gemma":[0.00034505356,0.00007815409,0.0000692464,0.00013072736,0.000819652,0.000106192856,0.00005978475,0.000118764816,0.0000021614235],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012331998,0.000057857946,0.9722575,0.00030960262,0.000049085666,4.805121e-7,0.023801312,6.614232e-7,0.000016584723,0.00032037593,0.00004977502,0.0031244657],"study_design_scores_gemma":[0.00030524068,0.000042907384,0.9802375,0.00023566734,0.000026272537,1.1381148e-8,0.017404405,0.000009235855,0.00060226116,0.0010219841,0.000041144893,0.00007338749],"about_ca_topic_score_codex":0.0008885635,"about_ca_topic_score_gemma":0.0014161097,"teacher_disagreement_score":0.007980014,"about_ca_system_score_codex":0.000051991567,"about_ca_system_score_gemma":0.000021207783,"threshold_uncertainty_score":0.31870311},"labels":[],"label_agreement":null},{"id":"W2962312038","doi":"10.1111/gec3.12461","title":"Toward feminist geographies of cycling","year":2019,"lang":"en","type":"article","venue":"Geography Compass","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":98,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Environment and Climate Change Canada","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Conceptualization; Cycling; Intersectionality; Gender studies; Sociology; Masculinity; Feminist theory; Feminism; Identity (music); Performativity; Social psychology; Psychology; Geography; Aesthetics; Computer science","score_opus":0.02179809561525626,"score_gpt":0.2807602133554486,"score_spread":0.25896211774019234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2962312038","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9280121,0.00043393832,0.00005237887,0.00023916882,0.0004722221,0.0002166785,0.000016970058,0.0000983849,0.07045816],"genre_scores_gemma":[0.9994056,0.000046205947,0.00027719638,0.000071786926,0.00008462476,0.0000061113765,0.00000826787,0.000006977136,0.00009321058],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986484,0.000064641514,0.00029701908,0.0002565347,0.000397758,0.00033562866],"domain_scores_gemma":[0.99930054,0.0000967481,0.000138639,0.00027245656,0.00009227609,0.00009935375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000491605,0.00011298154,0.000269189,0.00022725487,0.00019816856,0.00004886849,0.00043107115,0.0000848779,0.00049784087],"category_scores_gemma":[0.000012064764,0.000108602675,0.0003100312,0.00086614623,0.0005404249,0.00015594794,0.00002696769,0.00012282115,0.00002781915],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014386968,0.000067641246,0.9927148,0.00003726463,0.00002993433,9.765185e-7,0.001823728,0.000003592856,0.0000657566,0.004405674,0.00012026609,0.00071596156],"study_design_scores_gemma":[0.00024755727,0.000031945718,0.97065085,0.00003207445,0.00002377154,7.7088195e-8,0.0025868036,0.0000061419687,0.00021836135,0.0036410338,0.022395637,0.0001657371],"about_ca_topic_score_codex":0.003127268,"about_ca_topic_score_gemma":0.00055284123,"teacher_disagreement_score":0.07139352,"about_ca_system_score_codex":0.0000069318367,"about_ca_system_score_gemma":0.000044507095,"threshold_uncertainty_score":0.5451008},"labels":[],"label_agreement":null},{"id":"W2962701534","doi":"10.1007/s11116-019-10037-3","title":"The role of children’s independent mobility and social media use for face-to-face social interaction with friends","year":2019,"lang":"en","type":"article","venue":"Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Fonds de Recherche du Québec-Société et Culture; VINNOVA","keywords":"Face-to-face interaction; Social relation; Face-to-face; Face (sociological concept); Social distance; Psychology; Social psychology; Social media; Internet privacy; Sociology; Computer science; Communication; World Wide Web; Medicine; Social science","score_opus":0.01453115573504623,"score_gpt":0.2762592736480814,"score_spread":0.2617281179130352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2962701534","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980011,0.000016973592,0.0004768811,0.0002835855,0.00011302735,0.0007655721,0.00016565288,0.000029720248,0.00014749041],"genre_scores_gemma":[0.9995989,0.000004980032,0.00006183709,0.000015461885,0.0000802159,0.00003727345,0.000133296,0.000008731042,0.000059258477],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989928,0.000044024186,0.00023418461,0.0002267834,0.00031871872,0.00018349136],"domain_scores_gemma":[0.99946725,0.0001579926,0.00013550057,0.00007536914,0.00012063465,0.000043234613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003845216,0.00009249569,0.00014733114,0.000029115532,0.00043017298,0.00005081557,0.00011732931,0.00009093388,0.00004281737],"category_scores_gemma":[0.000011390364,0.00007120154,0.0000614684,0.00012805505,0.00015722524,0.00043407377,0.0000017531102,0.00009868163,0.0000016413755],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00056352577,0.00008283204,0.8724615,0.000017744987,0.00003763414,8.412742e-8,0.11332572,0.000023338891,0.00043449833,0.0033956189,0.000008018303,0.009649509],"study_design_scores_gemma":[0.00041366328,0.000041354422,0.9830063,0.000005434773,0.000048609465,1.9749422e-8,0.014417744,0.000012210236,0.0005357716,0.0006729655,0.0007535419,0.00009237468],"about_ca_topic_score_codex":0.0014100845,"about_ca_topic_score_gemma":0.038895812,"teacher_disagreement_score":0.11054484,"about_ca_system_score_codex":0.00004347975,"about_ca_system_score_gemma":0.00006997575,"threshold_uncertainty_score":0.9786418},"labels":[],"label_agreement":null},{"id":"W2962719129","doi":"10.1016/j.jeem.2019.07.002","title":"Air pollution as a cause of sleeplessness: Social media evidence from a panel of Chinese cities","year":2019,"lang":"en","type":"article","venue":"Journal of Environmental Economics and Management","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":178,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Air pollution; Air quality index; Panel data; Productivity; Pollution; Estimation; Mechanism (biology); Metric (unit); Psychology; Economics; Environmental health; Econometrics; Geography; Meteorology; Medicine; Economic growth; Ecology; Operations management","score_opus":0.019131592476349282,"score_gpt":0.23953798025335918,"score_spread":0.22040638777700988,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2962719129","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979552,0.00070706464,0.000011335137,0.00038981473,0.00018329913,0.00012040377,0.000046174333,0.0000014814409,0.00058522774],"genre_scores_gemma":[0.9933349,0.0063369493,0.00010252238,0.00005218973,0.0000864267,0.000001453758,0.000002238547,0.000004547979,0.00007879412],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992231,0.000031670257,0.0003988871,0.00010847481,0.00014250202,0.000095362586],"domain_scores_gemma":[0.9993331,0.000057474714,0.00047816723,0.00007648586,0.0000062296604,0.000048548543],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034795786,0.000080639045,0.00029861546,0.000056592075,0.000057179073,0.000012180436,0.00016095617,0.000040523813,0.00036203992],"category_scores_gemma":[0.0000063474326,0.00006880981,0.00013572961,0.000028207824,0.00020948301,0.00036747125,0.00005227425,0.000051515202,0.0000024300791],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041780464,0.00044279348,0.9476307,0.00016209252,0.0016460367,0.000012757948,0.036920357,0.00043105398,0.0008168229,0.004549238,0.00006047783,0.006909874],"study_design_scores_gemma":[0.00045935396,0.00005115598,0.9857377,0.000029606103,0.00026023833,2.5245635e-7,0.008432935,0.000012833905,0.00008321297,0.00422789,0.00062282366,0.00008199232],"about_ca_topic_score_codex":0.0003934619,"about_ca_topic_score_gemma":0.00049921323,"teacher_disagreement_score":0.038107015,"about_ca_system_score_codex":0.000082048726,"about_ca_system_score_gemma":0.000020079538,"threshold_uncertainty_score":0.39640832},"labels":[],"label_agreement":null},{"id":"W2964814453","doi":"10.1017/s0714980819000138","title":"Caractéristiques environnementales favorisant la participation sociale: une enquête auprès d’aînés québécois","year":2019,"lang":"en","type":"article","venue":"Canadian Journal on Aging / La Revue canadienne du vieillissement","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Sherbrooke; Quebec Network for Research on Aging","funders":"","keywords":"Rurality; Metropolitan area; Openness to experience; Rural area; Inequality; Social engagement; Socioeconomics; Social inequality; Geography; Psychology; Environmental health; Sociology; Political science; Medicine; Social psychology; Social science","score_opus":0.013532584267045846,"score_gpt":0.2578664783958524,"score_spread":0.24433389412880657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2964814453","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9702398,0.00033045813,0.000030985088,0.007930098,0.001119452,0.00043089845,0.000073598334,0.000037554415,0.019807115],"genre_scores_gemma":[0.99615556,0.00018910223,0.00007252118,0.00071471685,0.0006829698,0.000027832033,0.000033523636,0.000038992242,0.0020847877],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9971867,0.00044487114,0.00057249365,0.00044163017,0.0002611438,0.0010931361],"domain_scores_gemma":[0.99721843,0.00022840183,0.0003301356,0.00030765383,0.00017075616,0.0017445948],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0018209821,0.0002906124,0.0003727279,0.00028621324,0.0012854356,0.00042180187,0.0004996712,0.00016873573,0.0015878853],"category_scores_gemma":[0.00022876485,0.0003024959,0.00019262881,0.00038465374,0.00034551183,0.0004229354,0.000012724173,0.0005298329,0.00006996864],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002493225,0.00012582084,0.85669756,0.00009597639,0.00016226718,0.00090319593,0.084920205,0.00023694972,0.00017597478,0.026089622,0.003557181,0.0270103],"study_design_scores_gemma":[0.00041288213,0.00008603731,0.35783848,0.00024026724,0.00006595133,0.000011078463,0.008798982,0.000034970704,0.000046531608,0.0007676759,0.6312722,0.00042492262],"about_ca_topic_score_codex":0.70581424,"about_ca_topic_score_gemma":0.9883643,"teacher_disagreement_score":0.62771505,"about_ca_system_score_codex":0.002373972,"about_ca_system_score_gemma":0.0022316636,"threshold_uncertainty_score":0.9999427},"labels":[],"label_agreement":null},{"id":"W2965300085","doi":"10.1139/cjce-2018-0727","title":"Direct modeling of subway ridership at the station level: a study based on mixed geographically weighted regression","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Geographically Weighted Regression; Variables; Regression analysis; Transport engineering; Linear regression; Ordinary least squares; Econometrics; Statistics; Recreation; Mathematics; Engineering","score_opus":0.0260143680890194,"score_gpt":0.24174817096837148,"score_spread":0.21573380287935207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2965300085","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995441,0.00015914414,0.0022417929,0.00033460083,0.00037974806,0.00019653702,0.000011562302,0.000009081322,0.0012265155],"genre_scores_gemma":[0.99975497,0.0000035126207,0.000047438614,0.000015969772,0.00008003648,0.0000014094225,0.0000019668776,0.000011759106,0.00008293718],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988175,0.000098833785,0.00033192313,0.000110913345,0.00039708818,0.00024373176],"domain_scores_gemma":[0.99907464,0.00016803495,0.00015458371,0.000153981,0.00018795046,0.0002607832],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012713348,0.00009849321,0.00019819653,0.00026863976,0.00016663931,0.000037783506,0.00025562404,0.000058357553,0.0002636614],"category_scores_gemma":[0.00014613329,0.000070269554,0.00011211439,0.00037720214,0.00004415405,0.00015443364,0.0000034350585,0.00020072302,0.0000012530276],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007881319,0.000055394623,0.60521865,0.000047513393,0.00005969508,0.000025551532,0.0074998555,0.3861141,0.0002697137,0.000115028066,0.00018738498,0.00032828114],"study_design_scores_gemma":[0.0023203043,0.00064887485,0.6824101,0.0011579893,0.00017299723,0.0000012630409,0.00598052,0.30334333,0.00054010557,0.00035166848,0.0024863826,0.0005864553],"about_ca_topic_score_codex":0.011325666,"about_ca_topic_score_gemma":0.5644355,"teacher_disagreement_score":0.5531098,"about_ca_system_score_codex":0.00015676058,"about_ca_system_score_gemma":0.0005403959,"threshold_uncertainty_score":0.995258},"labels":[],"label_agreement":null},{"id":"W2965444420","doi":"","title":"Exploring the relationship between commuting and the exurban community: a case study of Niverville, Manitoba","year":2017,"lang":"en","type":"dissertation","venue":"Mspace (University of Manitoba)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geography; Regional science; Environmental planning","score_opus":0.17702613107423315,"score_gpt":0.30601470826358357,"score_spread":0.12898857718935042,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2965444420","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9903867,0.00013000867,0.0000057432894,0.00040120655,0.00018789047,0.00084013864,0.000016126533,0.000031723033,0.008000408],"genre_scores_gemma":[0.99922127,0.000052972526,0.000018776023,0.0000030190033,0.000074407835,0.0000017939599,0.000033775475,0.000013189612,0.00058080116],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975771,0.0013734105,0.0001985297,0.00020219592,0.00044336016,0.00020544342],"domain_scores_gemma":[0.99618787,0.0019838293,0.0007506837,0.00081591,0.0001985748,0.00006312687],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0022315565,0.00018152848,0.00045399758,0.0001211226,0.0072419704,0.000080003876,0.0012175955,0.00013947442,0.0000037650802],"category_scores_gemma":[0.00024901048,0.0001568393,0.00013894543,0.00022579545,0.0009962645,0.000551538,0.00013378866,0.00091336516,0.0000015896138],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008724452,0.000085419466,0.8626492,0.000113923255,0.00009567359,0.00005112988,0.13504216,8.783326e-7,4.2018328e-7,0.00053561846,0.000035794885,0.0013025143],"study_design_scores_gemma":[0.00051459926,0.000028091175,0.5081362,0.00007954497,0.00026800326,7.323573e-7,0.49056828,0.0000016404379,7.5474014e-7,0.00022492906,0.00009951658,0.00007770016],"about_ca_topic_score_codex":0.63134825,"about_ca_topic_score_gemma":0.99247056,"teacher_disagreement_score":0.3611223,"about_ca_system_score_codex":0.00007973845,"about_ca_system_score_gemma":0.000100300116,"threshold_uncertainty_score":0.99405044},"labels":[],"label_agreement":null},{"id":"W2965672731","doi":"10.1016/j.healthplace.2019.05.008","title":"Activity spaces in place and health research: Novel exposure measures, data collection tools, and designs","year":2019,"lang":"en","type":"article","venue":"Health & Place","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre Hospitalier de l’Université de Montréal","funders":"H2020 European Research Council; European Research Council; Horizon 2020 Framework Programme; Agence Nationale de la Recherche; European Commission","keywords":"Data collection; Causal inference; Wearable computer; Data science; Psychological intervention; Inference; Computer science; Built environment; Human–computer interaction; Psychology; Medicine; Sociology; Artificial intelligence; Engineering","score_opus":0.5282869317463501,"score_gpt":0.46711603755621867,"score_spread":0.06117089419013144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2965672731","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96443063,0.0035303386,0.000270172,0.029162988,0.00019656558,0.0014365606,0.000086538515,0.000054791737,0.0008314306],"genre_scores_gemma":[0.9957894,0.0018675113,0.00069589197,0.00033775764,0.000086049295,0.000014103956,0.000027405755,0.000011305553,0.0011705501],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969036,0.0008462687,0.00026928083,0.0006428687,0.0006462523,0.00069170684],"domain_scores_gemma":[0.9984687,0.00054887065,0.00013848314,0.000417169,0.00007291386,0.00035385683],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012907475,0.00012206371,0.00030985745,0.00013584536,0.00088750117,0.0001861908,0.00028233047,0.00012704005,0.000028787837],"category_scores_gemma":[0.00031821954,0.000120456614,0.000012121588,0.00066705776,0.00021243434,0.00089567574,0.0000902221,0.00050509657,0.000005154611],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042245904,0.00030524036,0.93850857,0.0004876873,0.000010145392,0.000002536968,0.021218995,0.0000073372044,0.00011380244,0.00056996004,0.014075976,0.024277274],"study_design_scores_gemma":[0.0012081851,0.00035211293,0.9117671,0.00017295012,0.0000026770947,0.0000014632207,0.0053615225,0.00036494303,0.000014060228,0.00012652653,0.08043779,0.00019064109],"about_ca_topic_score_codex":0.077549234,"about_ca_topic_score_gemma":0.30906877,"teacher_disagreement_score":0.23151955,"about_ca_system_score_codex":0.0004692414,"about_ca_system_score_gemma":0.0027036923,"threshold_uncertainty_score":0.92859346},"labels":[],"label_agreement":null},{"id":"W2966033554","doi":"10.32866/9934","title":"Benchmarking Transport Equity in the Greater Toronto and Hamilton Area (GTHA)","year":2019,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Benchmarking; Equity (law); Normative; Performance indicator; Regional science; Performance measurement; Computer science; Econometrics; Business; Economics; Geography; Political science; Marketing","score_opus":0.04033003309581014,"score_gpt":0.32834887546907204,"score_spread":0.2880188423732619,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2966033554","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7262087,0.00007182186,0.000017833143,0.00025173475,0.00008535932,0.00020349957,0.0000016238246,0.000019101139,0.2731403],"genre_scores_gemma":[0.99775016,0.0000373546,0.00004560614,0.00027693177,0.000066499546,0.000006201804,0.0000040990203,0.0000031419415,0.0018100301],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990561,0.00005426422,0.00014676352,0.00021864212,0.00027615807,0.00024808556],"domain_scores_gemma":[0.99970835,0.000045012832,0.000024293826,0.000162436,0.000015574566,0.00004433934],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009744295,0.00007746725,0.00011555544,0.000011663464,0.00013350575,0.000048798374,0.00024026781,0.00006811352,0.002193887],"category_scores_gemma":[0.0000030990348,0.00004892535,0.000040439547,0.00008389448,0.000107805,0.00041579508,0.000009121065,0.00007673601,0.0000066693074],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008915513,0.000021158574,0.9764795,0.000008982064,0.000002314099,0.0000029027894,0.02005038,2.9860084e-7,0.00002657501,0.00133269,0.00004711107,0.0020192112],"study_design_scores_gemma":[0.00015801098,0.000017595874,0.98855835,0.000011079531,0.00000641647,1.0741811e-7,0.0039061783,0.000013573982,0.000017810593,0.00060508447,0.006618893,0.00008688013],"about_ca_topic_score_codex":0.02926288,"about_ca_topic_score_gemma":0.2679899,"teacher_disagreement_score":0.27154142,"about_ca_system_score_codex":0.000060860042,"about_ca_system_score_gemma":0.00003806081,"threshold_uncertainty_score":0.99871826},"labels":[],"label_agreement":null},{"id":"W2966643726","doi":"10.1016/j.healthplace.2019.05.009","title":"The future of activity space and health research","year":2019,"lang":"en","type":"letter","venue":"Health & Place","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan; Memorial University of Newfoundland","funders":"Medical Research Council; Canada Research Chairs","keywords":"Causality (physics); Space (punctuation); Data science; Context (archaeology); Field (mathematics); Reflection (computer programming); Computer science; Order (exchange); Management science; Engineering ethics; Engineering; Geography; Business","score_opus":0.12762547102356397,"score_gpt":0.44808592489034055,"score_spread":0.3204604538667766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2966643726","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006463499,0.013057185,0.0000072768485,0.97538733,0.00097589125,0.0011675112,0.000060259186,0.00003191118,0.0028491528],"genre_scores_gemma":[0.09472639,0.036987532,0.00025429978,0.7746158,0.021628616,0.00007787093,0.0001090725,0.00010519269,0.07149522],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99493974,0.0019318406,0.00033702079,0.00048343372,0.0012236304,0.0010843469],"domain_scores_gemma":[0.99732363,0.0013520068,0.0004184317,0.00055243674,0.0001780148,0.00017549591],"candidate_categories":["sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.010438801,0.00016754348,0.00048783954,0.00008091171,0.001841626,0.00009367477,0.0005174641,0.0005060078,0.00004302042],"category_scores_gemma":[0.00007728907,0.000120942845,0.000072334406,0.00040558272,0.0007131396,0.00013117005,0.000056738994,0.0029322028,0.000016171256],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026178808,0.000016570666,0.006588831,0.00079461077,0.000007477998,0.0000026772739,0.0037407882,6.879645e-8,1.9137237e-7,0.00045351667,0.97829664,0.010072442],"study_design_scores_gemma":[0.00011208136,0.000093672,0.018529829,0.000110137145,0.0000021293358,2.3127305e-7,0.0010625253,0.0000016171855,8.976542e-7,0.00036015242,0.9796346,0.00009216967],"about_ca_topic_score_codex":0.037071213,"about_ca_topic_score_gemma":0.046167947,"teacher_disagreement_score":0.20077151,"about_ca_system_score_codex":0.0004825546,"about_ca_system_score_gemma":0.005310519,"threshold_uncertainty_score":0.99945784},"labels":[],"label_agreement":null},{"id":"W2966703811","doi":"10.1016/j.tra.2019.07.014","title":"Increasing cycling for transportation through mentorship programs","year":2019,"lang":"en","type":"article","venue":"Transportation Research Part A Policy and Practice","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; Mitacs; Ontario Trillium Foundation; George Cedric Metcalf Charitable Foundation","keywords":"Cycling; Mentorship; Psychological intervention; Human factors and ergonomics; Suicide prevention; Poison control; Neighbourhood (mathematics); Occupational safety and health; Transport engineering; Business; Psychology; Applied psychology; Medicine; Environmental health; Medical education; Engineering; Nursing; Geography","score_opus":0.21108461674856013,"score_gpt":0.5047117720838625,"score_spread":0.29362715533530237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2966703811","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9740875,0.00022996755,0.000743654,0.0093162805,0.00014224065,0.0020951047,0.00009038505,0.000115371025,0.013179541],"genre_scores_gemma":[0.99441725,0.00038661013,0.0026291632,0.00031787777,0.00047285642,0.00019207597,0.00036924804,0.000021806516,0.0011931213],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9968902,0.00074625417,0.00041873328,0.00044320186,0.000828878,0.00067273877],"domain_scores_gemma":[0.9957699,0.0031839442,0.00015418403,0.0001813383,0.0005045502,0.00020604642],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0063667446,0.00013990216,0.00020239165,0.00012967823,0.0008686222,0.00021278403,0.00018203506,0.00016556394,0.00013165273],"category_scores_gemma":[0.0010553052,0.00014212611,0.00008750372,0.00075719855,0.00033575614,0.0021497584,0.00000147595,0.00032633473,0.000020892823],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0037164162,0.0006669917,0.425313,0.0007172785,0.00014782463,0.000013786093,0.15972047,0.000033710166,0.0010349433,0.39327022,0.00045317944,0.014912199],"study_design_scores_gemma":[0.0012908394,0.0002484911,0.10080769,0.00012829233,0.000089905414,4.2787326e-7,0.018380744,0.000025403491,0.00021849417,0.0146068465,0.86388654,0.0003163019],"about_ca_topic_score_codex":0.03527027,"about_ca_topic_score_gemma":0.01604508,"teacher_disagreement_score":0.86343336,"about_ca_system_score_codex":0.00007893664,"about_ca_system_score_gemma":0.00048813198,"threshold_uncertainty_score":0.971154},"labels":[],"label_agreement":null},{"id":"W2967038288","doi":"10.1186/s12889-019-7420-y","title":"Relationships between area-level socioeconomic status and urbanization with active transportation, independent mobility, outdoor time, and physical activity among Canadian children","year":2019,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Lethbridge; University of British Columbia; Université du Québec à Trois-Rivières; Agricultural Research Institute of Ontario","funders":"Université du Québec à Trois-Rivières; Heart and Stroke Foundation of Canada","keywords":"Socioeconomic status; Urbanization; Pedometer; Biostatistics; Medicine; Public health; Demography; Rural area; Psychological intervention; Environmental health; Geography; Physical activity; Population; Physical therapy; Economic growth","score_opus":0.04210665205565623,"score_gpt":0.2882606563308037,"score_spread":0.2461540042751475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2967038288","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99645996,0.000017586217,0.00019065951,0.0013388386,0.000027553215,0.0010268466,0.0005089652,0.00005189689,0.00037769048],"genre_scores_gemma":[0.999198,0.000009099345,0.000081773396,0.00003993572,0.000075384465,0.000015185888,0.00034807395,0.000014842891,0.00021768452],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982832,0.00029744592,0.00020521924,0.0004549688,0.00023899623,0.00052019075],"domain_scores_gemma":[0.9985255,0.00016338925,0.00018418665,0.0001685714,0.00010143248,0.0008569124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001004468,0.0001446544,0.00028097923,0.000115318,0.00069030654,0.00013605939,0.00010948297,0.00013874228,0.000095618874],"category_scores_gemma":[0.000047972226,0.00013771816,0.000029214096,0.00021287636,0.00027534302,0.0011844202,0.0000065604363,0.0003135243,0.000011372367],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008625723,0.000056251058,0.98639536,0.000018708119,0.000020219615,9.597261e-8,0.010889014,0.0000048521283,3.4456784e-7,0.00036790615,0.000017483808,0.0022211135],"study_design_scores_gemma":[0.00040889517,0.00004491806,0.99783814,0.000007819834,0.000013582685,7.2055734e-8,0.0010793974,0.00007079008,0.000001737358,0.00028087644,0.0001002808,0.0001535051],"about_ca_topic_score_codex":0.3677057,"about_ca_topic_score_gemma":0.83215815,"teacher_disagreement_score":0.46445242,"about_ca_system_score_codex":0.00059280166,"about_ca_system_score_gemma":0.003346221,"threshold_uncertainty_score":0.6365048},"labels":[],"label_agreement":null},{"id":"W2968021232","doi":"10.3390/ijgi8080356","title":"Geospatial Disaggregation of Population Data in Supporting SDG Assessments: A Case Study from Deqing County, China","year":2019,"lang":"en","type":"article","venue":"ISPRS International Journal of Geo-Information","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Weighting; Geospatial analysis; Population; China; Geography; Sustainable development; Ancillary data; Scale (ratio); Computer science; Environmental resource management; Statistics; Cartography; Remote sensing; Environmental science; Mathematics; Environmental health; Political science","score_opus":0.02054797574684888,"score_gpt":0.38421241243162885,"score_spread":0.36366443668478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2968021232","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99351525,0.000011163343,0.0040290845,0.00018999628,0.0012892195,0.00033909152,0.00014637245,0.000009806225,0.000469991],"genre_scores_gemma":[0.9985684,0.000009032851,0.0006656209,0.000036981186,0.00020289041,0.0000016746013,0.00050434045,0.000003825102,0.000007221262],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971648,0.000116494964,0.001289684,0.00010647547,0.0011811522,0.0001414049],"domain_scores_gemma":[0.9973692,0.00011159985,0.0017486835,0.00019905942,0.00052102905,0.000050409926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020040253,0.00009594641,0.00021151973,0.00029273078,0.000092747665,0.00018828563,0.0006282916,0.00006996885,0.0002217051],"category_scores_gemma":[0.00032973415,0.000091489244,0.000058275076,0.00018997211,0.000029348257,0.009994469,0.000077983466,0.00020083689,0.0000061589058],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000107818785,0.00014576763,0.96324176,0.0000102747945,0.00005498329,0.00003370971,0.011421887,0.00044759604,0.000011350576,0.000111627014,0.000017384657,0.024395823],"study_design_scores_gemma":[0.0014430062,0.00008082471,0.968494,0.0001258959,0.00003821455,0.000012328261,0.021181868,0.007562386,0.000016095477,0.0006784514,0.00025539406,0.00011152252],"about_ca_topic_score_codex":0.07378383,"about_ca_topic_score_gemma":0.014322718,"teacher_disagreement_score":0.05946111,"about_ca_system_score_codex":0.00028244386,"about_ca_system_score_gemma":0.00019409889,"threshold_uncertainty_score":0.93238395},"labels":[],"label_agreement":null},{"id":"W2968815195","doi":"10.11575/prism/36658","title":"Still Dispersed and Decentralized? Evaluating the Influence and Implementation of Smart Growth in Mid-Sized Canadian Cities","year":2019,"lang":"en","type":"dissertation","venue":"Open MIND","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Smart growth; Business; Economic geography; Geography; Engineering; Urban planning; Civil engineering","score_opus":0.03969507570932944,"score_gpt":0.3927466921677525,"score_spread":0.35305161645842303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2968815195","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957657,0.00020310351,8.296918e-8,0.00016076062,0.000102708764,0.0010506737,0.000073017756,5.233638e-7,0.0026434623],"genre_scores_gemma":[0.9988673,0.00010902159,0.00007860492,0.000018518467,0.00000920502,0.00002031626,0.00015455758,0.000006140936,0.00073638366],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988843,0.000140436,0.00028935756,0.00024507105,0.00022783286,0.00021301147],"domain_scores_gemma":[0.9994222,0.00011526461,0.00018530914,0.00009303005,0.00010585764,0.00007834113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009815132,0.00010795436,0.00021234184,0.00006982446,0.0001607198,0.00019541667,0.0002728914,0.00009820947,0.00087905367],"category_scores_gemma":[0.00008099746,0.00008847511,0.000021637623,0.00015753295,0.00013088153,0.00035510922,0.000014039079,0.00010373701,0.0000021725239],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007318943,0.0000064482665,0.8468337,0.00005005869,0.0000146817665,8.551403e-7,0.13199894,7.2542935e-7,0.00022264385,0.000108092805,0.000004261792,0.020686425],"study_design_scores_gemma":[0.00057535147,0.000028101598,0.910288,0.000101874444,0.00004862049,4.0056737e-8,0.087849826,0.000006615934,0.00036219292,0.00024632693,0.00037399973,0.00011908535],"about_ca_topic_score_codex":0.7665612,"about_ca_topic_score_gemma":0.9867394,"teacher_disagreement_score":0.22017814,"about_ca_system_score_codex":0.000074529,"about_ca_system_score_gemma":0.0012917628,"threshold_uncertainty_score":0.96250206},"labels":[],"label_agreement":null},{"id":"W2969290270","doi":"10.14288/1.0380426","title":"Essays on the effectiveness of environmental and urban transportation policies","year":2019,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Environmental planning; Environmental policy; Business; Economics; Natural resource economics; Geography","score_opus":0.00571091302107063,"score_gpt":0.18013303501463704,"score_spread":0.1744221219935664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2969290270","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953261,0.000044651944,0.000009337646,0.000039276412,0.000040873678,0.0002594623,0.00016034381,0.000011668629,0.0041082986],"genre_scores_gemma":[0.99967897,0.000041408464,0.0000060398866,0.000009274161,0.000007794011,3.1258065e-7,0.000008459745,0.000003105371,0.0002446133],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99937934,0.00012286264,0.000058413516,0.00015151955,0.00018745595,0.000100414865],"domain_scores_gemma":[0.99963486,0.00014751847,0.000061765764,0.000102145845,0.000017900658,0.000035785255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038897363,0.000021796155,0.00012464,0.000013220821,0.00018974114,0.000020085954,0.00015075055,0.000051482148,0.00025247652],"category_scores_gemma":[0.0000056327412,0.00005528361,0.000056134897,0.0000827609,0.0005330545,0.0001792648,0.000006688777,0.00005523545,0.0000042768843],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023700177,0.00007645607,0.98524046,0.000053808235,0.000013471035,0.0000026583868,0.0019551814,9.5293706e-7,0.00073427835,0.00011848925,0.00004053337,0.011740015],"study_design_scores_gemma":[0.0003096027,0.000045293655,0.9938614,0.00006277329,0.000017442333,1.0439733e-7,0.004959315,0.0000017557338,0.00000980026,0.00058809476,0.00008608498,0.00005835374],"about_ca_topic_score_codex":0.120021306,"about_ca_topic_score_gemma":0.1773064,"teacher_disagreement_score":0.057285096,"about_ca_system_score_codex":0.000027626415,"about_ca_system_score_gemma":0.00002611722,"threshold_uncertainty_score":0.88583857},"labels":[],"label_agreement":null},{"id":"W2969364525","doi":"10.1139/cjce-2019-0111","title":"Incorporating bicycling demand into pavement management systems for convenient bikeway networks","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Transport engineering; SAFER; Scheduling (production processes); Schedule; Demand management; Disconnection; Engineering; Computer science; Operations management; Computer security","score_opus":0.009996588053581315,"score_gpt":0.22149917168847855,"score_spread":0.21150258363489724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2969364525","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.725586,0.0066888398,0.2541287,0.00037846502,0.0073885783,0.0012650017,0.000007872049,0.000042371645,0.0045141475],"genre_scores_gemma":[0.9988585,0.000030123929,0.0004467779,0.000029679692,0.00044660844,0.000008129755,0.000002036804,0.000015664573,0.00016247154],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99885964,0.0000227492,0.00043472645,0.00012310465,0.00019622287,0.00036353705],"domain_scores_gemma":[0.9990565,0.00006547146,0.0002032085,0.00010526211,0.00012602427,0.00044353295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012134956,0.00010688494,0.00021881545,0.00021420399,0.00019800324,0.00013899231,0.0002519635,0.00006596549,0.000051612624],"category_scores_gemma":[0.000030505502,0.00010652358,0.00010003381,0.0002036773,0.000032383192,0.000224664,0.000006365596,0.00013785332,0.0000017944247],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001152443,0.000016580789,0.2589551,0.00053984544,0.00020108999,0.00008138146,0.004025337,0.7222527,0.00009694785,0.01216353,0.00069935067,0.00095659366],"study_design_scores_gemma":[0.0062545133,0.00068412366,0.094181366,0.0063003562,0.00060746155,0.00001882378,0.021278298,0.4178568,0.00024902914,0.003269767,0.4465544,0.00274504],"about_ca_topic_score_codex":0.0042200303,"about_ca_topic_score_gemma":0.12427025,"teacher_disagreement_score":0.44585505,"about_ca_system_score_codex":0.00032588362,"about_ca_system_score_gemma":0.00029595234,"threshold_uncertainty_score":0.8917095},"labels":[],"label_agreement":null},{"id":"W2970234816","doi":"","title":"Prospects for sustainable transportation in the Pacific Northwest: A comparison of Vancouver, Seattle and Portland","year":2003,"lang":"en","type":"book-chapter","venue":"Murdoch Research Repository (Murdoch University)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sustainability; Sustainable transport; Resource (disambiguation); Business; Resource use; Environmental planning; Transport engineering; Sustainable development; Engineering; Natural resource economics; Economics; Geography; Political science; Computer science; Ecology","score_opus":0.04070476037789221,"score_gpt":0.3124621924420171,"score_spread":0.2717574320641249,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2970234816","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.119270004,0.00095090485,0.000052655123,0.00018186762,0.00019562703,0.0032126817,0.00006474518,0.000042509775,0.876029],"genre_scores_gemma":[0.6241066,0.00013719943,0.00003908242,0.0000044759386,0.00008030276,0.00000976809,0.000054212745,0.000020334382,0.37554803],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99680644,0.0002899775,0.00044581437,0.00065178314,0.0011123258,0.00069363177],"domain_scores_gemma":[0.9976635,0.00048452322,0.0002743891,0.00043757018,0.00096119597,0.00017880331],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00169502,0.00026004307,0.0005184465,0.0006462253,0.0011945945,0.00012588795,0.0006200726,0.00040470486,0.00003423585],"category_scores_gemma":[0.00006190425,0.00024351176,0.00018123821,0.0005089787,0.001202665,0.00045452913,0.000023519795,0.00074535125,8.4794465e-7],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008709553,0.0006292612,0.52142453,0.0018180698,0.00017824308,0.0015669455,0.03147215,0.00001600968,0.00007205388,0.42817223,0.012966634,0.00081291515],"study_design_scores_gemma":[0.0014773441,0.00047701463,0.030767,0.0002666682,0.00016571613,0.0000012397844,0.04957273,0.000013987408,0.00018375921,0.010859698,0.90566134,0.0005535121],"about_ca_topic_score_codex":0.006992721,"about_ca_topic_score_gemma":0.07653313,"teacher_disagreement_score":0.8926947,"about_ca_system_score_codex":0.00044223535,"about_ca_system_score_gemma":0.00084767037,"threshold_uncertainty_score":0.9996198},"labels":[],"label_agreement":null},{"id":"W2970585172","doi":"","title":"Urban mobility and nature sports. The case of the agglomeration in Grenoble (France).","year":2011,"lang":"en","type":"article","venue":"Loisir et Société / Society and Leisure","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Economic geography; Urban agglomeration; Regional science; Geography","score_opus":0.017457954923859577,"score_gpt":0.29518728077692297,"score_spread":0.27772932585306337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2970585172","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9937735,0.0020223556,0.000009258727,0.0010317264,0.00018444163,0.0004112856,0.000018473802,0.000021254566,0.0025277033],"genre_scores_gemma":[0.9986922,0.00034784563,0.00006412461,0.00037955464,0.00008101828,0.000013188697,0.000002782558,0.0000067714427,0.0004125114],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988827,0.00018049202,0.00024261953,0.00027209634,0.00020962003,0.00021244692],"domain_scores_gemma":[0.99937576,0.00011886972,0.00013377845,0.00024444913,0.00007337134,0.000053776635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014621459,0.00012482112,0.00020213252,0.0000075518633,0.00062794134,0.000037698257,0.00018467239,0.00032872515,0.00009798521],"category_scores_gemma":[0.000037022106,0.00007649592,0.00015531974,0.0002864895,0.00093682966,0.0003019148,0.00004217524,0.0005789313,1.8815966e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012273172,0.00010631975,0.88548917,0.000055060602,0.000021864005,0.000006539132,0.0986266,8.393647e-7,0.000022599534,0.012644297,0.00025684762,0.0027576124],"study_design_scores_gemma":[0.0003758278,0.000015727972,0.9587091,0.000026379974,0.00003925034,0.000002576766,0.031445827,0.000033088705,0.0001128952,0.0050086193,0.0040969807,0.00013370033],"about_ca_topic_score_codex":0.005218935,"about_ca_topic_score_gemma":0.0102718845,"teacher_disagreement_score":0.073219985,"about_ca_system_score_codex":0.000026729094,"about_ca_system_score_gemma":0.00010936425,"threshold_uncertainty_score":0.7889504},"labels":[],"label_agreement":null},{"id":"W2970878043","doi":"10.1016/j.compenvurbsys.2019.101401","title":"An urban data framework for assessing equity in cities: Comparing accessibility to healthcare facilities in Cascadia","year":2019,"lang":"en","type":"article","venue":"Computers Environment and Urban Systems","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":60,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Equity (law); Public transport; Population; Business; Health care; Economic growth; Environmental health; Medicine; Economics; Political science; Transport engineering; Engineering","score_opus":0.11199547732327828,"score_gpt":0.3766341507878369,"score_spread":0.2646386734645586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2970878043","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98365897,0.0011273337,0.012089953,0.00021529531,0.0007729704,0.0016168505,0.00009756946,0.00005275333,0.000368307],"genre_scores_gemma":[0.9978844,0.000022381168,0.0014025227,0.000084374726,0.0002730029,0.000051303712,0.00010037776,0.000015685282,0.0001659658],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99708533,0.0003253549,0.0006169175,0.00095785415,0.00039183846,0.0006227273],"domain_scores_gemma":[0.9983646,0.00031398344,0.00014115748,0.0008840015,0.000014308478,0.00028194947],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020308564,0.00022940485,0.0005595376,0.00013968794,0.00025700018,0.0004860375,0.00094853394,0.00019181748,0.000021601583],"category_scores_gemma":[0.000030396115,0.00023633898,0.00004285517,0.00018556941,0.00018435725,0.0012127426,0.000290243,0.00024481173,0.000005700072],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027802427,0.00007754977,0.9806665,0.00033474923,0.000006373591,0.000002151508,0.015806675,0.0002796381,0.000008689894,0.0014630416,0.00013403632,0.001192782],"study_design_scores_gemma":[0.00054803,0.00007349238,0.96441966,0.00044430498,0.000007682541,1.8271591e-7,0.014877457,0.01159689,0.000002842889,0.00076481793,0.006861789,0.0004028726],"about_ca_topic_score_codex":0.007200763,"about_ca_topic_score_gemma":0.0028428969,"teacher_disagreement_score":0.016246872,"about_ca_system_score_codex":0.0004868119,"about_ca_system_score_gemma":0.00010428699,"threshold_uncertainty_score":0.9994104},"labels":[],"label_agreement":null},{"id":"W2971045893","doi":"10.1139/cjce-2019-0085","title":"Developing an “intelligent” high-fidelity GIS-based travel demand model framework for improved network-wide traffic estimation","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Computer science; Geographic information system; Interpolation (computer graphics); Fidelity; Trip distribution; Census tract; Software; Estimation; Transport engineering; Data mining; Real-time computing; Census; Geography; Remote sensing; Engineering; Telecommunications","score_opus":0.02171787820015261,"score_gpt":0.26346643963746474,"score_spread":0.24174856143731213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2971045893","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31887862,0.00016180504,0.6797688,0.00040062793,0.0005165714,0.00021024917,0.000012090869,0.000016355918,0.000034886998],"genre_scores_gemma":[0.9413392,0.0000055134233,0.058167934,0.00014720538,0.00028127874,0.0000043092073,0.000009841625,0.000022299128,0.000022408944],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986609,0.000026666521,0.00046847016,0.0001688661,0.00016074884,0.0005143543],"domain_scores_gemma":[0.99870616,0.00019460467,0.00017809734,0.00014233845,0.00021657454,0.00056220294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011095294,0.00014604532,0.0002815786,0.00014495931,0.0002254505,0.0001219494,0.00031702896,0.00016333003,0.00007519018],"category_scores_gemma":[0.0002851598,0.00015424631,0.00012395746,0.00022941949,0.000042913598,0.00045569864,0.0000020993116,0.0002641806,8.978373e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000132172345,0.000005941206,0.0039432384,0.000049684386,0.000017995515,0.0000022195072,0.0007850051,0.98881865,0.000026477013,0.005037765,0.00004295953,0.0012568792],"study_design_scores_gemma":[0.00032089208,0.000054674656,0.012636722,0.00026177138,0.000040201885,5.687261e-7,0.00013847898,0.97442305,0.000093114635,0.0112437345,0.00050762674,0.00027913475],"about_ca_topic_score_codex":0.0013192053,"about_ca_topic_score_gemma":0.23107429,"teacher_disagreement_score":0.6224606,"about_ca_system_score_codex":0.00037951462,"about_ca_system_score_gemma":0.0021516094,"threshold_uncertainty_score":0.7829566},"labels":[],"label_agreement":null},{"id":"W2972519175","doi":"","title":"Using GIS to Examine Transportation Connectivity in Saskatchewan","year":2019,"lang":"en","type":"article","venue":"Journal of rural and community development","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Geography; Public transport; Regional science; Geographic information system; Transport engineering; Welfare economics; Business; Cartography; Economics; Engineering","score_opus":0.04125046288704941,"score_gpt":0.3032575504182682,"score_spread":0.26200708753121876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2972519175","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991002,0.000044557575,0.00014830245,0.00024130383,0.00010733563,0.00011040024,0.0000010700111,0.0000045678485,0.00024222517],"genre_scores_gemma":[0.998506,0.000008573219,0.0012745818,0.000081941485,0.000018998571,6.0081106e-7,0.0000017610564,0.0000026675864,0.000104851],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990843,0.00023997595,0.00030223245,0.000035549732,0.00020703932,0.00013088521],"domain_scores_gemma":[0.99953926,0.00009737851,0.00011679707,0.00006465748,0.00008672764,0.00009515347],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015151697,0.00006400685,0.00017997883,0.000082905615,0.00026447012,0.000027842663,0.00013133192,0.000040771985,0.000060574148],"category_scores_gemma":[0.000019276162,0.000054896736,0.000027889822,0.0001889232,0.000039442944,0.00028491762,0.0000096379845,0.00031628954,0.0000013883548],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005788843,0.00013807275,0.8410772,0.000020584355,0.000011007496,0.0000033314607,0.13437586,0.000022844644,0.001046489,0.000021986565,0.0000049441555,0.023219805],"study_design_scores_gemma":[0.00028703111,0.000048953665,0.9096689,0.00009686534,0.000004859055,8.0032197e-7,0.088379115,0.0000021286187,0.00041833168,0.0002446089,0.0007715112,0.000076862416],"about_ca_topic_score_codex":0.007598878,"about_ca_topic_score_gemma":0.084012784,"teacher_disagreement_score":0.07641391,"about_ca_system_score_codex":0.00011973113,"about_ca_system_score_gemma":0.0002549629,"threshold_uncertainty_score":0.9990096},"labels":[],"label_agreement":null},{"id":"W2972796047","doi":"10.24095/hpcdp.39.8/9.01f","title":"Analyse de l’accessibilité géographique aux commerces spécialisés en produits de vapotage autour des établissements d’enseignement secondaire et collégial du Québec","year":2019,"lang":"fr","type":"article","venue":"Promotion de la santé et prévention des maladies chroniques au Canada","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Institut National de la Recherche Scientifique; Université de Montréal; Institut National de Santé Publique du Québec","funders":"Ministère de la Santé et des Services sociaux","keywords":"Humanities; Political science; Art","score_opus":0.014934717924461658,"score_gpt":0.3087515961539528,"score_spread":0.29381687822949115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2972796047","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97071385,0.002323265,0.0010871068,0.0032206376,0.00073567644,0.0014606393,0.00014315346,0.0002734605,0.020042183],"genre_scores_gemma":[0.9821307,0.0022058857,0.0014455513,0.00065782183,0.0004611489,0.0002315845,0.000115046154,0.00008712058,0.012665147],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.991659,0.0041538225,0.0010587219,0.0009369326,0.0007881968,0.0014033263],"domain_scores_gemma":[0.9973903,0.0004856614,0.0006683723,0.0004922433,0.00042341708,0.0005400626],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005819698,0.0006065807,0.00068361516,0.00023576686,0.0010328935,0.00053309,0.00074107636,0.00045389554,0.012832689],"category_scores_gemma":[0.00043202902,0.00065766677,0.0003933049,0.00094952196,0.0017487167,0.0017749863,0.00015294534,0.0006794163,0.0000070379137],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.00008673469,0.0008677089,0.9541203,0.0025524006,0.00032756635,0.00007371264,0.023075555,0.00019768065,0.00039716996,0.0021368824,0.005642376,0.010521913],"study_design_scores_gemma":[0.000923305,0.0003424691,0.9604099,0.001388148,0.00031367567,0.00001675847,0.004046896,0.00057404354,0.0021372687,0.006255161,0.022894466,0.0006979164],"about_ca_topic_score_codex":0.9148276,"about_ca_topic_score_gemma":0.99884367,"teacher_disagreement_score":0.08401607,"about_ca_system_score_codex":0.011549376,"about_ca_system_score_gemma":0.018393435,"threshold_uncertainty_score":0.9995875},"labels":[],"label_agreement":null},{"id":"W2972843005","doi":"10.7202/1063104ar","title":"L’accessibilité aux aires de jeux dans les parcs de la Communauté métropolitaine de Montréal","year":2019,"lang":"fr","type":"article","venue":"Cahiers de géographie du Québec","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Political science; Humanities; Art","score_opus":0.009361185042309986,"score_gpt":0.2525476017746869,"score_spread":0.2431864167323769,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2972843005","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94093454,0.022189006,0.0013456946,0.009440628,0.00041843049,0.00049002963,0.00006701345,0.00027272807,0.024841933],"genre_scores_gemma":[0.9742879,0.0024106188,0.00091092393,0.000979857,0.00050003786,0.000065161985,0.00002607688,0.000083658226,0.020735743],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9941777,0.0019169741,0.00072918163,0.00074088783,0.00051458774,0.0019206614],"domain_scores_gemma":[0.9960137,0.0016282195,0.00030618033,0.0009606191,0.00017085124,0.00092043745],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0031157972,0.00055349193,0.00067568413,0.0003438908,0.0017632806,0.00035690077,0.001582772,0.0011174616,0.0006777624],"category_scores_gemma":[0.00054548925,0.0005935895,0.00077423576,0.0015837018,0.021433067,0.00060337916,0.000105607105,0.0015377332,0.00005540946],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012566119,0.0005366814,0.8839327,0.00021409876,0.00017860491,0.000104589155,0.045768924,0.00012536085,0.0003589415,0.05373022,0.0032200657,0.011704169],"study_design_scores_gemma":[0.0010950455,0.00015317777,0.8415245,0.00020823811,0.00033976612,0.000021450162,0.01856956,0.0005394982,0.0002206165,0.030689105,0.10588149,0.00075754366],"about_ca_topic_score_codex":0.81495816,"about_ca_topic_score_gemma":0.83540416,"teacher_disagreement_score":0.10266142,"about_ca_system_score_codex":0.003004214,"about_ca_system_score_gemma":0.004307121,"threshold_uncertainty_score":0.99965155},"labels":[],"label_agreement":null},{"id":"W2972996256","doi":"10.1088/1748-9326/ab442f","title":"Embodied emissions in rail infrastructure: a critical literature review","year":2019,"lang":"en","type":"article","venue":"Environmental Research Letters","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Ontario Centres of Excellence","keywords":"Greenhouse gas; Embodied cognition; Transport engineering; Embodied energy; Environmental science; Business; Engineering; Computer science","score_opus":0.022827760888870396,"score_gpt":0.36590498169145025,"score_spread":0.34307722080257985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2972996256","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94694746,0.012413106,0.0000048672973,0.030660208,0.0001634335,0.00081236113,0.000031569023,0.00002659766,0.008940382],"genre_scores_gemma":[0.9901941,0.0056077996,0.0001071501,0.002851497,0.00010649332,0.000027629862,0.00003743878,0.000011438821,0.0010564758],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972054,0.00052601914,0.0002214658,0.00039385172,0.001021168,0.00063214835],"domain_scores_gemma":[0.99914116,0.00029196226,0.000020200627,0.00030271307,0.000008549766,0.00023539251],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014695646,0.00011109019,0.00018378455,0.000105950036,0.0002614229,0.000080161604,0.0004204125,0.00009946364,0.0052838423],"category_scores_gemma":[0.00032595437,0.00009756599,0.00008018364,0.0004278392,0.00070942665,0.00036620733,0.00008595934,0.0008188685,0.00031605238],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041052062,0.00019131119,0.9436632,0.00042060646,0.000008999877,0.00016500898,0.004350592,0.000002305069,0.011939622,0.0007054581,0.033921428,0.004590412],"study_design_scores_gemma":[0.0004243939,0.000038064074,0.8757514,0.001911871,0.0000066382177,8.776089e-7,0.0007661315,0.000005941477,0.00014932119,0.0014898378,0.119182386,0.00027313555],"about_ca_topic_score_codex":0.00012341014,"about_ca_topic_score_gemma":0.00008161824,"teacher_disagreement_score":0.08526096,"about_ca_system_score_codex":0.0003202343,"about_ca_system_score_gemma":0.000058620753,"threshold_uncertainty_score":0.99562544},"labels":[],"label_agreement":null},{"id":"W2973009426","doi":"10.1186/s12889-019-7460-3","title":"Assessing the micro-scale environment using Google Street View: the Virtual Systematic Tool for Evaluating Pedestrian Streetscapes (Virtual-STEPS)","year":2019,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":83,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"Fonds de Recherche du Québec - Santé; Canada Research Chairs","keywords":"Audit; Walkability; Pedestrian; Reliability (semiconductor); Computer science; Scale (ratio); Observational study; Cohen's kappa; Level design; Transport engineering; Medicine; Built environment; Engineering; Multimedia; Business; Accounting; Civil engineering; Machine learning; Geography; Cartography","score_opus":0.1100010445239666,"score_gpt":0.39230071496330204,"score_spread":0.28229967043933546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2973009426","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98103005,0.0009695372,0.008767812,0.0038263726,0.0005152765,0.0044724387,0.000038032882,0.0000734142,0.00030705088],"genre_scores_gemma":[0.9966028,0.000043343516,0.0018422434,0.00048039056,0.0003447555,0.0001500001,0.000022180364,0.000029424478,0.00048489202],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9943567,0.002125955,0.0010195593,0.00053902663,0.0010028676,0.0009558938],"domain_scores_gemma":[0.9964809,0.0017392104,0.0007217154,0.0007385897,0.00009611996,0.00022349716],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.014895867,0.0002501297,0.000528048,0.00006123665,0.0022981116,0.000940926,0.0008654991,0.00012600159,0.00018374389],"category_scores_gemma":[0.000507046,0.0001516642,0.00022446142,0.0003366706,0.00027393593,0.0009908751,0.00008026387,0.00025951085,0.000029604631],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023603514,0.0004718917,0.9400076,0.007108299,0.00010793106,5.873444e-7,0.027454834,0.00070014095,0.00041961196,0.0040303753,0.0005357525,0.01913936],"study_design_scores_gemma":[0.004965607,0.0012929725,0.41761455,0.0051428326,0.0004736293,0.0000046393684,0.48012933,0.05115705,0.00009843974,0.0010602844,0.03587002,0.0021906302],"about_ca_topic_score_codex":0.0024679126,"about_ca_topic_score_gemma":0.0057056188,"teacher_disagreement_score":0.52239305,"about_ca_system_score_codex":0.0006286743,"about_ca_system_score_gemma":0.002651801,"threshold_uncertainty_score":0.9990008},"labels":[],"label_agreement":null},{"id":"W2973146459","doi":"","title":"Potential Impacts of Telecommuting on Transportation Behaviours, Health and Hours Worked in Québec","year":2019,"lang":"en","type":"article","venue":"CIRANO Project Reports","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Telecommuting; Socioeconomic status; Geography; Incentive; Demographic economics; Context (archaeology); Work (physics); Business; Economics; Demography; Population; Sociology; Engineering","score_opus":0.015775564040522817,"score_gpt":0.314131381018626,"score_spread":0.29835581697810315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2973146459","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99735737,0.00036766168,0.0000070654933,0.00024329993,0.00019435489,0.00074706844,0.00000546993,0.000041469095,0.0010362406],"genre_scores_gemma":[0.99965835,0.00003271125,0.00006242124,0.00005947142,0.000034333938,0.000006878537,0.000033236447,0.0000109379225,0.00010169036],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983996,0.00011227238,0.00054816756,0.00030669564,0.00032208924,0.00031115758],"domain_scores_gemma":[0.9992177,0.00003605913,0.00039930953,0.0002056987,0.000045603636,0.000095621195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011753836,0.000109665474,0.00028060965,0.00013678332,0.00012336722,0.000026582084,0.0000783444,0.00009169638,0.000044526238],"category_scores_gemma":[0.000045617213,0.000104981504,0.000069662885,0.00031207336,0.00010898638,0.00020551273,0.0000027555159,0.00016733566,5.647145e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045229055,0.00010302864,0.97814506,0.00004287093,0.000004820229,0.000038705537,0.01569394,0.000005034193,0.0001513942,0.000018968614,0.000029208544,0.005721713],"study_design_scores_gemma":[0.00026404756,0.000111545,0.9969801,0.00016006468,0.0000094163415,0.000001696877,0.0019252022,0.0000015635936,0.0002631211,0.000055551125,0.0001160065,0.000111692694],"about_ca_topic_score_codex":0.32954803,"about_ca_topic_score_gemma":0.2621472,"teacher_disagreement_score":0.06740084,"about_ca_system_score_codex":0.000116357434,"about_ca_system_score_gemma":0.001367493,"threshold_uncertainty_score":0.7513167},"labels":[],"label_agreement":null},{"id":"W2973773500","doi":"10.6084/m9.figshare.9462053.v1","title":"Additional file 1: of Relationships between area-level socioeconomic status and urbanization with active transportation, independent mobility, outdoor time, and physical activity among Canadian children","year":2019,"lang":"en","type":"article","venue":"Figshare","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Socioeconomic status; Urbanization; Physical activity; Geography; Socioeconomics; Business; Environmental health; Economic growth; Sociology; Medicine; Population; Economics","score_opus":0.024946062231259118,"score_gpt":0.236050490441493,"score_spread":0.2111044282102339,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2973773500","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4927234,0.0000015756798,1.2285905e-7,0.000012284286,0.0000020291354,0.00022739558,0.50664276,0.000009668252,0.00038075756],"genre_scores_gemma":[0.59413207,1.5244993e-7,0.00001345314,0.0000028345662,0.000026988779,0.000047178943,0.4055701,0.0000055854916,0.00020163838],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99922365,0.0000535583,0.000107421794,0.00026551067,0.00016536535,0.00018447799],"domain_scores_gemma":[0.99888164,0.0005731985,0.00014006617,0.00009076778,0.00011904815,0.00019527537],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004362915,0.00010024389,0.00016426465,0.000052503165,0.00024147934,0.000034615106,0.00007541883,0.00011100187,0.69770044],"category_scores_gemma":[0.00017217675,0.00009960781,0.000029073493,0.000102974904,0.00007906392,0.0005932372,0.0000059529475,0.00017440837,0.00009050349],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011010396,0.00003966426,0.91966605,0.00002116512,0.0000367041,3.062473e-7,0.0025412887,0.000007930454,5.1689824e-7,0.0000065842373,0.07698423,0.00068455207],"study_design_scores_gemma":[0.00015029174,0.000020766638,0.9977747,0.0001181138,0.000015282734,4.3760195e-8,0.00021628615,0.00003099745,0.000011061836,0.00009110256,0.0014508356,0.00012048203],"about_ca_topic_score_codex":0.017762726,"about_ca_topic_score_gemma":0.23980938,"teacher_disagreement_score":0.69760996,"about_ca_system_score_codex":0.00011192483,"about_ca_system_score_gemma":0.0005157237,"threshold_uncertainty_score":0.98877805},"labels":[],"label_agreement":null},{"id":"W2973792898","doi":"10.1111/tran.12347","title":"Towards a critical geography of physical activity: Emotions and the gendered boundary‐making of an everyday exercise environment","year":2019,"lang":"en","type":"article","venue":"Transactions of the Institute of British Geographers","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Queen's University","funders":"Canadian Institutes of Health Research","keywords":"Sociology; Gender studies; Emotive; Psychological intervention; Thematic analysis; Experiential learning; Social psychology; Psychology; Qualitative research; Social science; Pedagogy","score_opus":0.012401874942226778,"score_gpt":0.26611288935157207,"score_spread":0.2537110144093453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2973792898","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99508464,0.0003309634,0.0021001326,0.00026358466,0.00024616334,0.00053482596,0.0002103638,0.000015634309,0.0012136598],"genre_scores_gemma":[0.99913824,0.00019129382,0.0006014473,0.0000073888855,0.00001509338,0.000013361601,0.000001734615,0.000008070278,0.00002335382],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9985772,0.00013457207,0.00031560933,0.00023794126,0.00053258846,0.00020208389],"domain_scores_gemma":[0.999194,0.000077142395,0.00018613954,0.00039514736,0.00009066188,0.000056899993],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0004352385,0.000113046255,0.0004101501,0.00008707329,0.00031130412,0.00002609119,0.00042715127,0.00008641101,0.000110208406],"category_scores_gemma":[0.000016895749,0.00010013645,0.00051817077,0.0004519864,0.0060364646,0.0006108912,0.000015939107,0.00017895065,2.756646e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002160724,0.012331051,0.21649297,0.0026407551,0.0020469297,0.000011874421,0.04232752,0.008041937,0.0078060147,0.007913359,0.000050636325,0.6981762],"study_design_scores_gemma":[0.0027348571,0.00023341824,0.9770821,0.000781978,0.0011509005,0.0000056789786,0.005641939,0.00047560278,0.0029464238,0.007944694,0.00061382755,0.00038858835],"about_ca_topic_score_codex":0.015798094,"about_ca_topic_score_gemma":0.0021058016,"teacher_disagreement_score":0.7605891,"about_ca_system_score_codex":0.00001352832,"about_ca_system_score_gemma":0.00012987926,"threshold_uncertainty_score":0.9966685},"labels":[],"label_agreement":null},{"id":"W2973981249","doi":"10.1177/0739456x19873942","title":"Assessing Transit-Oriented Development Implementation in Canadian Cities: An Urban Project Approach","year":2019,"lang":"en","type":"article","venue":"Journal of Planning Education and Research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Metropolitan area; Process (computing); Work (physics); Transit-oriented development; Urban planning; Process management; Regional science; Public transport; Environmental planning; Transit (satellite); Transport engineering; Business; Computer science; Geography; Engineering; Civil engineering","score_opus":0.1244500025835163,"score_gpt":0.5039891155156376,"score_spread":0.37953911293212134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2973981249","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99292904,0.00018719361,0.000034214285,0.00027969282,0.00020534928,0.00022412834,7.483723e-7,0.0000030958947,0.0061365417],"genre_scores_gemma":[0.99833804,0.000007866636,0.001165681,0.0000265267,0.00014274902,0.0000048430056,0.000017192107,0.0000039635233,0.00029311722],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99862075,0.00027941095,0.0002579027,0.00011244389,0.00044345838,0.00028602063],"domain_scores_gemma":[0.99935395,0.000049952912,0.00007577876,0.000048856495,0.00027533574,0.00019615314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003991349,0.00004543745,0.000093810486,0.00062368053,0.0003265328,0.00020687161,0.00011920187,0.000051715462,0.00006568458],"category_scores_gemma":[0.000039700568,0.000039529103,0.000014409758,0.00043815697,0.00006195897,0.0007747437,0.0000034885543,0.00028257392,7.605522e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008758293,0.00007720814,0.86095566,0.000025044028,0.000004093045,0.0000015788329,0.13401353,0.000003377717,0.000039203755,0.00015306227,0.0002838432,0.004434614],"study_design_scores_gemma":[0.0001857667,0.00003211357,0.76297283,0.00006787439,0.000001924549,0.0000013783233,0.21448398,0.000022923787,0.000027240543,0.000046998088,0.02210596,0.000051036543],"about_ca_topic_score_codex":0.10088442,"about_ca_topic_score_gemma":0.058102116,"teacher_disagreement_score":0.097982876,"about_ca_system_score_codex":0.00036057582,"about_ca_system_score_gemma":0.008518897,"threshold_uncertainty_score":0.9971019},"labels":[],"label_agreement":null},{"id":"W2974190246","doi":"10.6084/m9.figshare.9462062.v1","title":"Additional file 2: of Relationships between area-level socioeconomic status and urbanization with active transportation, independent mobility, outdoor time, and physical activity among Canadian children","year":2019,"lang":"en","type":"article","venue":"Figshare","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Socioeconomic status; Urbanization; Physical activity; Geography; Environmental health; Economic growth; Medicine; Population; Economics; Physical medicine and rehabilitation","score_opus":0.024248147302860575,"score_gpt":0.23616002285224552,"score_spread":0.21191187554938495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2974190246","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4926652,0.000001570862,1.2163518e-7,0.000012266908,0.000002027009,0.00022712005,0.50670564,0.000009658911,0.0003764],"genre_scores_gemma":[0.5951384,1.5257899e-7,0.000013368611,0.0000028351526,0.000026873478,0.00004679923,0.40456536,0.000005592775,0.00020066026],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99922395,0.000053551386,0.00010737899,0.00026542487,0.00016527555,0.00018442425],"domain_scores_gemma":[0.99886405,0.0005910086,0.00013998164,0.000090731715,0.0001189911,0.00019522243],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000043620003,0.000100227226,0.00016420631,0.00005250446,0.00024147626,0.00003460851,0.000075399126,0.00011096942,0.7026775],"category_scores_gemma":[0.00017956036,0.0000995928,0.000029064882,0.0001029603,0.00007905899,0.0005932108,0.0000059511885,0.00017438938,0.000090182875],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011044876,0.000039661383,0.9219293,0.000020889169,0.000036888763,3.0798833e-7,0.0025535985,0.000007875312,5.183355e-7,0.000006556009,0.07468126,0.0007120933],"study_design_scores_gemma":[0.00015005212,0.000020643549,0.9978458,0.00012228951,0.000015276259,4.4548912e-8,0.0002151477,0.000030705312,0.000011380784,0.00009095831,0.0013771758,0.000120474004],"about_ca_topic_score_codex":0.01729051,"about_ca_topic_score_gemma":0.23868512,"teacher_disagreement_score":0.7025873,"about_ca_system_score_codex":0.00011125106,"about_ca_system_score_gemma":0.0005155275,"threshold_uncertainty_score":0.98925346},"labels":[],"label_agreement":null},{"id":"W2974464471","doi":"10.14288/1.0362571","title":"On the Wrong Track? : Perspectives on Affordable Housing and Transit Oriented Development in Metro Vancouver","year":2018,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Affordable housing; Track (disk drive); Transit (satellite); Transit-oriented development; Transport engineering; Light rail transit; Transit system; Public transport; Computer science; Business; Economic growth; Engineering; Economics","score_opus":0.011437518844046191,"score_gpt":0.2037929594709555,"score_spread":0.1923554406269093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2974464471","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99398875,0.000046470937,0.00018095943,0.00013081188,0.00009659669,0.00022118485,0.000011162064,0.000031984324,0.0052921013],"genre_scores_gemma":[0.9993194,0.000020923808,0.00020634467,0.00003634812,0.00002592098,3.8341994e-7,0.0000011164929,0.000005402259,0.00038415994],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990374,0.00007768201,0.00008653049,0.0003042089,0.00026877312,0.00022539428],"domain_scores_gemma":[0.99958503,0.000079288715,0.000054646785,0.00011772013,0.000097796845,0.00006550257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004500894,0.00003783743,0.00014610443,0.000042451196,0.00067624904,0.00006315918,0.00018922398,0.000065986555,0.00025649238],"category_scores_gemma":[0.00003219668,0.00008949501,0.000043345535,0.00036574432,0.0006979388,0.00027295758,0.000016858576,0.00011830851,0.0000040843647],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001489945,0.0007901892,0.4912168,0.000046438392,0.000070494396,0.00010564107,0.12548077,0.0000058852384,0.000051488278,0.00021021774,0.0017139638,0.38015908],"study_design_scores_gemma":[0.00043982602,0.000060950195,0.91216105,0.000088912464,0.000010009324,7.321839e-8,0.085923344,0.000013336416,0.0000051280263,0.0003444197,0.00084675447,0.00010617901],"about_ca_topic_score_codex":0.10572925,"about_ca_topic_score_gemma":0.97445476,"teacher_disagreement_score":0.86872554,"about_ca_system_score_codex":0.00016113513,"about_ca_system_score_gemma":0.000120637524,"threshold_uncertainty_score":0.90022576},"labels":[],"label_agreement":null},{"id":"W2975501602","doi":"10.3390/su11195309","title":"Travel Satisfaction vs. Life Satisfaction: A Weighted Decision-Making Approach","year":2019,"lang":"en","type":"article","venue":"Sustainability","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Université de Montréal","funders":"Social Sciences and Humanities Research Council of Canada; Fonds de Recherche du Québec-Société et Culture","keywords":"Cognitive dissonance; Consonance and dissonance; Relocation; Psychology; Social psychology; Mode (computer interface); Mode choice; Affect (linguistics); Public transport; Engineering; Transport engineering; Computer science","score_opus":0.010432940739890465,"score_gpt":0.2951573176239178,"score_spread":0.2847243768840273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2975501602","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9780163,0.000074005264,0.0068641338,0.000670945,0.0005539253,0.0012896137,0.000011750946,0.00019508795,0.012324243],"genre_scores_gemma":[0.9981202,0.000007704154,0.0011347443,0.0001058897,0.00022029302,0.000043278615,0.000006204095,0.000016646454,0.00034503473],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99712294,0.00039347546,0.0004753305,0.0007103261,0.0007190931,0.00057883014],"domain_scores_gemma":[0.997893,0.00045378358,0.00016024806,0.0005940595,0.0006693585,0.00022954907],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0018642206,0.00020862158,0.00035484205,0.000109551984,0.00093623146,0.0001496323,0.00025615032,0.00026022724,0.0018203626],"category_scores_gemma":[0.0012824261,0.00019747028,0.0001948158,0.0007147093,0.0003598242,0.0008271424,0.000040018833,0.00041091754,0.000038906317],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017191806,0.00008079362,0.94775546,0.00010765699,0.000014782274,0.0000017922821,0.003965613,0.000020340172,0.0000031375678,0.0062921583,0.00012821716,0.041458145],"study_design_scores_gemma":[0.00031861322,0.00003360427,0.9384897,0.000013953245,0.000019881696,2.7609855e-7,0.010626298,0.0001758207,0.000004329397,0.049082927,0.0010036132,0.00023099677],"about_ca_topic_score_codex":0.013386244,"about_ca_topic_score_gemma":0.006223383,"teacher_disagreement_score":0.042790767,"about_ca_system_score_codex":0.0013167643,"about_ca_system_score_gemma":0.0011258044,"threshold_uncertainty_score":0.9990921},"labels":[],"label_agreement":null},{"id":"W2975867449","doi":"","title":"Duurzaamheidsprestaties 2017 in Noord-Holland: Akkerbouw","year":2019,"lang":"nl","type":"article","venue":"Socio-Environmental Systems Modeling","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"","keywords":"History","score_opus":0.022024920826843857,"score_gpt":0.25765401139539484,"score_spread":0.235629090568551,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2975867449","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97766054,0.0068949657,0.00028491058,0.00020033833,0.0025582307,0.0015605757,0.00015997438,0.00008883071,0.010591636],"genre_scores_gemma":[0.98827076,0.0009552659,0.0000377255,0.000058286627,0.00048642413,0.000058148926,0.00007980504,0.000073070165,0.009980485],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99479955,0.00047918197,0.0012240089,0.0011252393,0.0011954968,0.0011765206],"domain_scores_gemma":[0.99851936,0.00012188269,0.0003838867,0.0006684646,0.000014727539,0.00029166884],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0015312554,0.0005589576,0.0008784682,0.0001321394,0.000656948,0.00031976376,0.0007722755,0.00059161376,0.0010835348],"category_scores_gemma":[0.000013208927,0.00057530386,0.00033153928,0.00022193867,0.0004380142,0.0010592241,0.00015765973,0.00067936524,0.0023534452],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053061238,0.0002439591,0.95725155,0.0002321775,0.00006025824,0.000022083117,0.016858935,0.024501681,0.00035020045,0.00019376227,0.000107509666,0.00012481166],"study_design_scores_gemma":[0.003665625,0.00020979873,0.086751215,0.00112404,0.00017678544,0.0000035866303,0.74164695,0.15881728,0.000006944171,0.0015625574,0.0037351274,0.0023000732],"about_ca_topic_score_codex":0.0180259,"about_ca_topic_score_gemma":0.0003284951,"teacher_disagreement_score":0.8705003,"about_ca_system_score_codex":0.0008025623,"about_ca_system_score_gemma":0.00015529878,"threshold_uncertainty_score":0.9998296},"labels":[],"label_agreement":null},{"id":"W2976089653","doi":"10.5822/978-1-61091-817-6","title":"Bike Boom: The Unexpected Resurgence of Cycling","year":2017,"lang":"en","type":"book","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cycling; Boom; Environmental science; Geography; Archaeology; Environmental engineering","score_opus":0.05400883100154401,"score_gpt":0.34460197847472224,"score_spread":0.2905931474731782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2976089653","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0023178216,0.0005607211,0.000030498595,0.00049111736,0.00056124834,0.00026031063,0.000020188476,0.00006449343,0.9956936],"genre_scores_gemma":[0.12154537,0.00017973519,0.000040175975,0.00003932697,0.0004396329,0.0000042939905,0.000015458567,0.000010797413,0.8777252],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99857223,0.00006718613,0.00034238593,0.00027754798,0.0005089683,0.00023169938],"domain_scores_gemma":[0.998439,0.00022377922,0.00042617435,0.0006930766,0.0001520419,0.00006591794],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00090681424,0.00013891849,0.00029502696,0.00003996812,0.00077134394,0.00007516154,0.0011787404,0.0002715583,0.0014753566],"category_scores_gemma":[0.00019118043,0.00008912566,0.00019792568,0.00006056993,0.001074258,0.00014302165,0.000041606847,0.0002722119,0.000030895648],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001298538,0.0002428493,0.15278935,0.00042072803,0.000429565,0.000055786346,0.03130888,0.000003589024,0.00022860758,0.23700498,0.55128485,0.026100943],"study_design_scores_gemma":[0.00009512309,0.000010987864,0.016968582,0.00017404939,0.00007913363,5.009517e-8,0.00040140824,0.000002762075,0.000110672416,0.03087676,0.95099914,0.00028131742],"about_ca_topic_score_codex":0.0052621206,"about_ca_topic_score_gemma":0.0151924305,"teacher_disagreement_score":0.3997143,"about_ca_system_score_codex":0.000056443543,"about_ca_system_score_gemma":0.0010159723,"threshold_uncertainty_score":0.99943745},"labels":[],"label_agreement":null},{"id":"W2976594059","doi":"10.1016/b978-0-12-815965-1.00014-4","title":"Behavioral interventions for sustainable transportation: an overview of programs and guide for practitioners","year":2019,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; University of Victoria","funders":"","keywords":"Psychological intervention; Sustainability; Travel behavior; Sustainable transport; Behavior change; Greenhouse gas; Process (computing); Business; Engineering; Transport engineering; Psychology; Computer science; Social psychology; Ecology","score_opus":0.11042817827804294,"score_gpt":0.4038236941599174,"score_spread":0.2933955158818745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2976594059","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0046266476,0.005847698,0.00021891155,0.00018231948,0.00035205536,0.009998683,0.00051023334,0.00010809186,0.9781554],"genre_scores_gemma":[0.010137542,0.00015938644,0.0016099123,0.000028056753,0.00014242473,0.0003219457,0.0006818932,0.000040697516,0.98687816],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985608,0.00002120577,0.00056578655,0.0003663717,0.00021932092,0.0002665424],"domain_scores_gemma":[0.9986456,0.00005295819,0.00042231477,0.0002348148,0.0005391906,0.00010513522],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006661982,0.00019412207,0.00043235553,0.00007971832,0.00026738123,0.000072508265,0.00019339296,0.0002492332,0.00011766618],"category_scores_gemma":[0.000012823075,0.00019842318,0.00047490702,0.000017574277,0.00030314497,0.00033217476,0.0000064186065,0.000112578324,8.820253e-7],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000639315,0.00012104262,0.0010034884,0.003407986,0.00007685252,0.0000028369493,0.003162505,1.7459755e-7,0.0000023521757,0.22580265,0.0001237846,0.76623243],"study_design_scores_gemma":[0.00040813602,0.00032827244,0.000433728,0.0006352005,0.00048949255,1.07361e-7,0.0011567001,5.364855e-7,0.0000048262114,0.030542227,0.96576136,0.00023941063],"about_ca_topic_score_codex":0.00009335323,"about_ca_topic_score_gemma":0.009341894,"teacher_disagreement_score":0.96563756,"about_ca_system_score_codex":0.00007062396,"about_ca_system_score_gemma":0.00039847303,"threshold_uncertainty_score":0.8091462},"labels":[],"label_agreement":null},{"id":"W2977322129","doi":"","title":"Cycling in Canada.","year":2017,"lang":"en","type":"article","venue":"PubMed","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Cycling; Demography; Gerontology; Occupational safety and health; Injury prevention; Suicide prevention; National Health Interview Survey; Medicine; Population; Poison control; Geography; Environmental health","score_opus":0.04259887992835334,"score_gpt":0.2737197231536025,"score_spread":0.23112084322524915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2977322129","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9072931,0.000029436205,0.0000012281964,0.0020119487,0.00029869904,0.00013387292,0.0000015036122,0.000007813531,0.09022244],"genre_scores_gemma":[0.99849147,0.000005121157,0.0000058419278,0.00006394944,0.00009968372,0.00006810821,3.6931112e-7,0.0000016883565,0.0012637478],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99945533,0.000014971391,0.00007384138,0.00008891272,0.00013223688,0.00023473463],"domain_scores_gemma":[0.99971,0.000017382412,0.00004015745,0.0001503719,0.000010119932,0.000071948176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037192806,0.000026030079,0.00005404669,0.000009539252,0.00033638914,0.00006175164,0.0002866727,0.000017926995,0.000030434896],"category_scores_gemma":[0.00016204856,0.000025296142,0.00001161432,0.000027570033,0.00006301658,0.00018007742,0.000010262275,0.00005036836,0.0000011575272],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000012770366,0.00000359739,0.9586253,0.0000011099384,7.172773e-7,0.000005089766,0.0001732297,3.4235896e-7,1.4615127e-7,0.00015486761,0.00012046122,0.04091382],"study_design_scores_gemma":[0.000062134015,8.439845e-8,0.9895171,0.0000011000559,0.0000010053166,4.6689497e-9,0.00015771922,0.0000014124536,0.000015415833,0.0005136713,0.009694977,0.00003539106],"about_ca_topic_score_codex":0.99402404,"about_ca_topic_score_gemma":0.99984646,"teacher_disagreement_score":0.09119844,"about_ca_system_score_codex":0.00018984321,"about_ca_system_score_gemma":0.0003648348,"threshold_uncertainty_score":0.25872672},"labels":[],"label_agreement":null},{"id":"W2977925617","doi":"","title":"Is It the Person or the Urban Context? The Role of Urban Travel Context in Defining Mode Choices for School Trips of Post-Secondary Students in Toronto","year":2017,"lang":"en","type":"article","venue":"Transportation Research Board 96th Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"TRIPS architecture; Context (archaeology); Sociology; Psychology; Geography; Transport engineering; Engineering","score_opus":0.08660505952951167,"score_gpt":0.44411549154889485,"score_spread":0.35751043201938315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2977925617","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98039806,0.002248552,0.000020051079,0.007560669,0.00013427027,0.004795015,0.0012608601,0.000024150846,0.0035583724],"genre_scores_gemma":[0.9961558,0.0005055362,0.00007365868,0.00024257664,0.00015285135,0.0009251465,0.00012451969,0.000050466686,0.0017694252],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98977697,0.001748414,0.0016768917,0.00088850356,0.0043932716,0.0015159554],"domain_scores_gemma":[0.9910551,0.0036524083,0.00068574364,0.0010794975,0.003180759,0.00034649597],"candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.01676913,0.0003642427,0.0007285524,0.00040809045,0.002880026,0.00040961386,0.003610358,0.00034451004,0.00081202004],"category_scores_gemma":[0.0020574462,0.00021352993,0.00037715147,0.0009809119,0.003311246,0.0016573047,0.000022424507,0.0016622852,0.000008116394],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0032287007,0.00034598538,0.78970534,0.00022397863,0.00008493962,0.000009466084,0.19539614,0.000018681712,0.0002691885,0.0047757607,0.0011753254,0.0047665285],"study_design_scores_gemma":[0.0018262069,0.00030042554,0.6458318,0.000247765,0.000029617768,2.5440253e-8,0.34430784,0.000066700275,0.0006224859,0.00040736562,0.006189583,0.0001701655],"about_ca_topic_score_codex":0.52415675,"about_ca_topic_score_gemma":0.906516,"teacher_disagreement_score":0.38235924,"about_ca_system_score_codex":0.0003773792,"about_ca_system_score_gemma":0.002178419,"threshold_uncertainty_score":0.99940115},"labels":[],"label_agreement":null},{"id":"W2978470080","doi":"10.1101/19007856","title":"Travel time to health facilities as a marker of geographical accessibility across heterogeneous land coverage in Peru","year":2019,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute; Medical Research Council; Harvard T.H. Chan School of Public Health; Inter-American Institute for Global Change Research; Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica; Alliance for Health Policy and Systems Research; International Development Research Centre; National Institutes of Health; Bloomberg Philanthropies; Fogarty International Center; National Institute of Mental Health; Fondo Nacional de Desarrollo Científico, Tecnológico y de Innovación Tecnológica; World Diabetes Foundation; Grand Challenges Canada","keywords":"Geospatial analysis; Geography; Land use; Population; Business; Environmental planning; Environmental health; Cartography; Ecology; Medicine","score_opus":0.025558320305567123,"score_gpt":0.3309989213815326,"score_spread":0.3054406010759655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2978470080","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99253446,0.0004933998,0.00007085338,0.00093496754,0.0003475955,0.0013623867,0.001037816,0.000059826532,0.003158714],"genre_scores_gemma":[0.9954298,0.000110204506,0.000041546402,0.00024111214,0.00009152223,0.000056247653,0.000059999704,0.000021666401,0.003947913],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99568945,0.0006323809,0.0009634414,0.0010601155,0.00083399966,0.00082061044],"domain_scores_gemma":[0.9981148,0.0002124126,0.0003114803,0.00087043026,0.00014426718,0.00034656128],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0034403508,0.00035581118,0.0010414557,0.000153104,0.0002018741,0.00014245303,0.0010541556,0.0004969141,0.0020377021],"category_scores_gemma":[0.00025265076,0.0003343503,0.00037234425,0.0004022084,0.0005054729,0.00015358554,0.00036877222,0.0007016323,0.00011192934],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016489101,0.0002154782,0.9825926,0.00055217696,0.00002974082,0.000009325195,0.014885543,0.00014666814,0.000020333338,0.0000097748725,0.000027774719,0.0013456945],"study_design_scores_gemma":[0.00032499447,0.00006885411,0.99538195,0.00015797997,0.000007708943,3.1776435e-7,0.00037843228,0.000046806977,0.000059852908,0.0014836845,0.0017658228,0.00032360348],"about_ca_topic_score_codex":0.042666,"about_ca_topic_score_gemma":0.028815867,"teacher_disagreement_score":0.014507111,"about_ca_system_score_codex":0.00019466468,"about_ca_system_score_gemma":0.00088987517,"threshold_uncertainty_score":0.99991083},"labels":[],"label_agreement":null},{"id":"W2979552474","doi":"10.3390/su11195534","title":"Scissors Difference of Socioeconomics, Travel and Space Consumption Behavior of Rural and Urban Households and Its Impact on Modeling Accuracy and Data Requirements","year":2019,"lang":"en","type":"article","venue":"Sustainability","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"National Natural Science Foundation of China","keywords":"Consumption (sociology); Geography; Household income; China; Rural area; Survey data collection; Socioeconomics; Agricultural economics; Demographic economics; Economics; Statistics; Mathematics; Sociology","score_opus":0.05911191774617323,"score_gpt":0.3760506442909514,"score_spread":0.31693872654477817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2979552474","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983645,0.00048694966,0.000016306027,0.00013822116,0.000032680724,0.0007710984,0.0001484318,0.000011671477,0.000030152029],"genre_scores_gemma":[0.9996568,0.00024516313,0.000019350467,0.000005272511,0.000013302338,0.000004279048,0.000013427769,0.000006570493,0.000035851284],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988116,0.00012026966,0.00030104685,0.0003762162,0.0001574535,0.00023340397],"domain_scores_gemma":[0.999012,0.0001911032,0.00016376755,0.00034700677,0.00016182542,0.00012428645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011860146,0.00013719038,0.0003136027,0.000041325784,0.00017068259,0.000049492246,0.00017823401,0.00010389449,0.000018825267],"category_scores_gemma":[0.00031192988,0.0001207736,0.000026803285,0.000051121275,0.00062906643,0.0006228354,0.00012489941,0.00012198272,1.1639164e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010855618,0.00008143555,0.9922473,0.00028907062,0.000010610357,2.5634412e-7,0.004970765,0.000007955759,0.00024169212,0.0005581488,0.0000012908486,0.0014829505],"study_design_scores_gemma":[0.00050773437,0.00009345616,0.9881509,0.000029530443,0.000045573015,1.6125632e-7,0.006106455,0.0019013709,0.00009610628,0.002944554,0.0000011414386,0.00012301914],"about_ca_topic_score_codex":0.0034776127,"about_ca_topic_score_gemma":0.00034551646,"teacher_disagreement_score":0.0040963697,"about_ca_system_score_codex":0.00013999328,"about_ca_system_score_gemma":0.000206128,"threshold_uncertainty_score":0.5257133},"labels":[],"label_agreement":null},{"id":"W2979733112","doi":"10.1080/03081060.2019.1675321","title":"GIS-based transit trip allocation methods converting stop-level boarding and alighting trips into TAZ trips","year":2019,"lang":"en","type":"article","venue":"Transportation Planning and Technology","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"TRIPS architecture; Transport engineering; Transit (satellite); Computer science; Public transport; Engineering","score_opus":0.03381816516095198,"score_gpt":0.352525553319223,"score_spread":0.318707388158271,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2979733112","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9481206,0.00093740644,0.04722774,0.002319612,0.00016868302,0.00038715758,0.00001124779,0.00037727298,0.0004502819],"genre_scores_gemma":[0.9848158,0.000025148278,0.014713397,0.00010529626,0.00003304848,0.000024414461,0.00007261448,0.000017334643,0.00019296182],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983134,0.00012625042,0.00050128886,0.0004970414,0.00021330219,0.0003487159],"domain_scores_gemma":[0.99917936,0.00024256084,0.00021116804,0.00015920991,0.00011150281,0.00009621301],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001370476,0.00019040258,0.0003603169,0.0003494606,0.0005277276,0.000052486284,0.00016338669,0.00036874684,0.000047838443],"category_scores_gemma":[0.00008505221,0.00019579603,0.000054667194,0.00062476745,0.00030365356,0.0003245466,0.0000028038748,0.00030676086,0.0000025395768],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012308291,0.000047168247,0.8940461,0.00019366633,0.000049079004,0.000011571831,0.019428264,0.00010062879,0.016929865,0.0064909216,0.000013446209,0.06256616],"study_design_scores_gemma":[0.008892489,0.00047524006,0.8377091,0.00075283926,0.0005607958,0.000003843068,0.04917135,0.006994121,0.056753132,0.016389102,0.02048157,0.0018163751],"about_ca_topic_score_codex":0.0007323892,"about_ca_topic_score_gemma":0.00051104615,"teacher_disagreement_score":0.060749788,"about_ca_system_score_codex":0.000039137456,"about_ca_system_score_gemma":0.00011881369,"threshold_uncertainty_score":0.79843307},"labels":[],"label_agreement":null},{"id":"W2979801885","doi":"10.2478/udi-2019-0017","title":"Investigating factors affecting the mode choices of commuters in Kuwait city &amp; surrounding urban areas: Strategies for a higher quality and more sustainable public transport system","year":2019,"lang":"en","type":"article","venue":"Urban Development Issues/Problemy Rozwoju Miast","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Public transport; Socioeconomic status; Sustainable transport; Sample (material); Transportation planning; Business; Transport engineering; Population; Traffic congestion; Nationality; Quality (philosophy); Geography; Marketing; Economic growth; Immigration; Sustainability; Environmental health; Engineering; Economics; Medicine","score_opus":0.07192427003140353,"score_gpt":0.33665731357203116,"score_spread":0.26473304354062765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2979801885","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9934139,0.00046545046,0.00024187857,0.00058682816,0.00020907384,0.002067546,0.000022141672,0.00017042924,0.0028227514],"genre_scores_gemma":[0.9953498,0.000006121104,0.0013856048,0.000044963628,0.000088509834,0.00011113898,0.00010088897,0.000038137638,0.0028748228],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99595433,0.00035990548,0.0011838026,0.00071609666,0.00074151554,0.001044332],"domain_scores_gemma":[0.99789447,0.0006037843,0.00061849627,0.00041577124,0.00024161121,0.0002258488],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0037346126,0.00043512872,0.0007819058,0.00023298831,0.0010347352,0.00039859765,0.0007386907,0.0002420711,0.000055495657],"category_scores_gemma":[0.00010966686,0.0003521485,0.00013752446,0.00083934556,0.0004943978,0.0015200268,0.00008294104,0.0003822934,0.0000016622236],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020023906,0.000074478994,0.871907,0.0013793041,0.00006029621,9.819921e-7,0.11831436,0.000036648624,0.00011023155,0.007940179,0.00008970272,0.00006678308],"study_design_scores_gemma":[0.00073956035,0.000024308738,0.8006484,0.00047034706,0.00003067397,2.0762839e-7,0.18813656,0.00003744383,0.0002059876,0.00045609215,0.00873904,0.00051138777],"about_ca_topic_score_codex":0.01769612,"about_ca_topic_score_gemma":0.020908061,"teacher_disagreement_score":0.07125862,"about_ca_system_score_codex":0.00055062014,"about_ca_system_score_gemma":0.00081067486,"threshold_uncertainty_score":0.99989307},"labels":[],"label_agreement":null},{"id":"W2980190435","doi":"10.3390/ijerph16203840","title":"What Is the Relationship between the Neighbourhood Built Environment and Time Spent in Outdoor Play? A Systematic Review","year":2019,"lang":"en","type":"review","venue":"International Journal of Environmental Research and Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":141,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BC Children's Hospital; Learning Partnership; University of British Columbia","funders":"Canadian Institutes of Health Research; BC Children's Hospital","keywords":"Neighbourhood (mathematics); Built environment; Outdoor activity; Yard; Narrative review; Environmental health; Narrative; Psychology; Applied psychology; Geography; Physical activity; Medicine; Ecology","score_opus":0.23013185316084322,"score_gpt":0.4638189763066763,"score_spread":0.23368712314583306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2980190435","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001342023,0.967971,0.0000036572267,0.028417239,0.00013909976,0.0019160459,0.00007706326,0.0000017763116,0.00013205543],"genre_scores_gemma":[0.02889488,0.9696448,0.0000060165153,0.0004915758,0.0002518741,0.000037169753,0.000026519396,0.000013816354,0.0006333574],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9934324,0.0024601028,0.0013156804,0.00027238348,0.0020747334,0.00044469393],"domain_scores_gemma":[0.99489903,0.0035613398,0.0008815589,0.0002823386,0.000034971876,0.0003407808],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014141258,0.00019191817,0.0009783664,0.00022932753,0.00037910955,0.0005122764,0.0011576867,0.00012121392,0.00051160436],"category_scores_gemma":[0.000610718,0.000101724174,0.0002094269,0.00017255086,0.0006031392,0.00070361316,0.00019735636,0.0011847668,0.00008429633],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026926662,0.000913091,0.15282914,0.188787,0.0010239773,0.00005473994,0.012656418,1.5341521e-7,7.430894e-8,0.0016379793,0.0019236727,0.64014685],"study_design_scores_gemma":[0.0004963019,0.00031419328,0.08365919,0.22496778,0.0002678813,0.000050041468,0.003554264,0.0000017349291,2.8094126e-8,0.0020702672,0.68430334,0.00031500935],"about_ca_topic_score_codex":0.0002234534,"about_ca_topic_score_gemma":0.00006764918,"teacher_disagreement_score":0.68237966,"about_ca_system_score_codex":0.0010275175,"about_ca_system_score_gemma":0.0008609855,"threshold_uncertainty_score":0.5601709},"labels":[],"label_agreement":null},{"id":"W2980462370","doi":"10.32866/10791","title":"A job, indeed! Accessibility equity to advertised employment in Cascadia","year":2019,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"Sri Venkateswara University; University of British Columbia; Clemson University","keywords":"Equity (law); Complement (music); Inequality; Business; Labour economics; Value (mathematics); Demographic economics; Computer science; Economics; Political science; Law; Mathematics","score_opus":0.038074444061249796,"score_gpt":0.3679583987208897,"score_spread":0.32988395465963993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2980462370","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8519602,0.000023812807,0.00006522531,0.0009727106,0.0002737335,0.0007748423,0.000004855034,0.00009317082,0.14583145],"genre_scores_gemma":[0.9921671,0.0000036985737,0.00018013483,0.000791445,0.00006444219,0.000029581868,0.0000026212022,0.000007976565,0.00675298],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99790186,0.00012623327,0.00037176462,0.0005216094,0.0005284484,0.00055008795],"domain_scores_gemma":[0.9991272,0.00007036131,0.000047720685,0.00040140533,0.000065798675,0.00028750964],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014009726,0.0001326909,0.00024957053,0.00009749585,0.0001294233,0.00010045625,0.0006028602,0.00012863282,0.0048568165],"category_scores_gemma":[0.00009305339,0.00011599883,0.000084432024,0.0006694243,0.000089232686,0.00054519146,0.00013497086,0.00016308886,0.00042687697],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039104427,0.00011035285,0.98897135,0.000011711238,0.000003798591,0.0000031839404,0.0038139517,0.0000047743597,0.0001964688,0.0009517454,0.00022953375,0.00566401],"study_design_scores_gemma":[0.00039600354,0.00002948065,0.99173385,0.000016642722,0.0000038296807,2.51363e-8,0.0007413246,0.000013284425,0.00028100077,0.0016185612,0.0049856943,0.00018031232],"about_ca_topic_score_codex":0.032258146,"about_ca_topic_score_gemma":0.16481331,"teacher_disagreement_score":0.14020693,"about_ca_system_score_codex":0.00037554,"about_ca_system_score_gemma":0.00031729054,"threshold_uncertainty_score":0.99605286},"labels":[],"label_agreement":null},{"id":"W2980647334","doi":"10.7202/1058683ar","title":"Les adolescentes font-elles moins de vélo en raison de moindres possibilités réelles d’investir l’espace public ?","year":2019,"lang":"fr","type":"article","venue":"Enfances Familles Générations","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.02843923575265007,"score_gpt":0.3266996574094408,"score_spread":0.29826042165679073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2980647334","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9103225,0.036107272,0.00128918,0.018225577,0.0020813504,0.0010486925,0.0001732941,0.00030653176,0.03044561],"genre_scores_gemma":[0.9543358,0.008143824,0.002479301,0.00045938243,0.0010417597,0.00009265293,0.000097541604,0.00007121733,0.033278506],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9945006,0.0011402023,0.00089198526,0.0011110918,0.0007779459,0.0015781735],"domain_scores_gemma":[0.9969284,0.00093606405,0.00041008764,0.0008127652,0.00028402166,0.00062867365],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001453374,0.0006129193,0.000689629,0.00024478737,0.0014647056,0.00096228934,0.0011804582,0.00067460706,0.0011670316],"category_scores_gemma":[0.0004440151,0.0006520157,0.0004956926,0.00119592,0.0015750648,0.0029452757,0.00012526159,0.00079715456,0.00032747578],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004378752,0.0006727103,0.8253147,0.0002884974,0.00012663145,0.000011474717,0.04938252,0.00062542874,0.0011273213,0.10993854,0.0015429066,0.01092549],"study_design_scores_gemma":[0.0014397355,0.00030064763,0.66919345,0.0013019348,0.00027044426,0.000008341815,0.15577568,0.0041021383,0.0012968064,0.01830539,0.14627148,0.0017339172],"about_ca_topic_score_codex":0.009328495,"about_ca_topic_score_gemma":0.053780373,"teacher_disagreement_score":0.15612121,"about_ca_system_score_codex":0.00063736236,"about_ca_system_score_gemma":0.0016081143,"threshold_uncertainty_score":0.99983525},"labels":[],"label_agreement":null},{"id":"W2981146991","doi":"","title":"Bemidji Area Visitor Profile: Fourth-Quarter Fall Summary","year":2019,"lang":"en","type":"article","venue":"University of Minnesota Digital Conservancy (University of Minnesota)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Visitor pattern; Geography; Computer science; Archaeology","score_opus":0.011479028152900287,"score_gpt":0.19738311295928856,"score_spread":0.1859040848063883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981146991","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89981717,0.0001575687,0.00029258244,0.0015596214,0.0002684765,0.0005598567,0.0004651999,0.00011068425,0.09676881],"genre_scores_gemma":[0.97085786,0.00014661203,0.0007932392,0.00003176702,0.000047884118,6.141746e-8,0.00012175172,0.000017455259,0.02798338],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976315,0.0001221332,0.00027654707,0.00068073935,0.00070706767,0.0005819936],"domain_scores_gemma":[0.9977844,0.0002642863,0.00045237417,0.0006293815,0.00054708484,0.00032248185],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00032428728,0.0003100985,0.000673781,0.000273979,0.0005238358,0.0000464818,0.0013130398,0.00033058715,0.0019030902],"category_scores_gemma":[0.000045288325,0.00042404962,0.0004732577,0.0006721397,0.0012715824,0.0027569816,0.00023750364,0.00025732687,0.0002146512],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00086605974,0.0006535349,0.9528821,0.00030073887,0.00025199886,0.00021697387,0.013319583,0.000006244551,0.0005293042,0.0019658,0.025806319,0.0032013597],"study_design_scores_gemma":[0.0056319754,0.0006125222,0.31513396,0.0006078085,0.00039855725,0.0000055528867,0.14626063,0.00029036502,0.00017659429,0.00079798716,0.52848816,0.0015958624],"about_ca_topic_score_codex":0.004309629,"about_ca_topic_score_gemma":0.0073678386,"teacher_disagreement_score":0.6377481,"about_ca_system_score_codex":0.00015332154,"about_ca_system_score_gemma":0.00046460898,"threshold_uncertainty_score":0.9998211},"labels":[],"label_agreement":null},{"id":"W2981596899","doi":"10.1016/j.ypmed.2019.105864","title":"A population-based study of the associations between neighbourhood walkability and different types of physical activity in Canadian men and women","year":2019,"lang":"en","type":"article","venue":"Preventive Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Alberta Health Services; University of Calgary","funders":"Canadian Institutes of Health Research; Cumming School of Medicine, University of Calgary; University of Calgary","keywords":"Walkability; Neighbourhood (mathematics); Medicine; Built environment; Psychological intervention; Physical activity; Multilevel model; Environmental health; Gerontology; Demography; Population; Physical therapy; Ecology","score_opus":0.016016247429349335,"score_gpt":0.3060945356338821,"score_spread":0.2900782882045328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981596899","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998323,0.000010776513,6.505249e-7,0.00037589666,0.000020139592,0.00059773313,0.0000262977,0.000002634522,0.0006428717],"genre_scores_gemma":[0.9999088,4.465588e-7,6.281224e-7,0.0000036438462,0.000024343497,0.000008205523,0.0000027037524,0.0000019871761,0.00004922713],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99920726,0.00020417868,0.00012936482,0.00013096092,0.0002007395,0.00012752056],"domain_scores_gemma":[0.9994175,0.0002707459,0.00010924109,0.000088730914,0.000041318708,0.00007246203],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058348785,0.00005388224,0.00026488779,0.000042157135,0.000068464404,0.000003084485,0.00007772916,0.00002640376,0.000050171395],"category_scores_gemma":[0.00015606786,0.00003448061,0.000017383438,0.00017404612,0.000102852086,0.00005842945,0.000013243907,0.00007603573,6.732992e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000061221217,0.00020065487,0.9782908,0.000016757924,0.000017620872,2.8666847e-8,0.020425947,6.133959e-7,0.00004091085,0.000054423665,4.092497e-7,0.0009457407],"study_design_scores_gemma":[0.00052323384,0.00009838975,0.99556166,0.000024615294,0.000030743886,6.8536815e-10,0.0023438495,0.000025601674,0.000030426927,0.0013290324,0.0000011475255,0.000031286563],"about_ca_topic_score_codex":0.53850675,"about_ca_topic_score_gemma":0.5767505,"teacher_disagreement_score":0.038243778,"about_ca_system_score_codex":0.00015555652,"about_ca_system_score_gemma":0.00008326434,"threshold_uncertainty_score":0.46456638},"labels":[],"label_agreement":null},{"id":"W2981827073","doi":"10.1016/b978-0-12-814694-1.00010-5","title":"Individual and household influences","year":2019,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Polytechnique Montréal","funders":"","keywords":"Formative assessment; Psychological intervention; Perception; Affect (linguistics); Psychology; Function (biology); Communication","score_opus":0.03811831739252171,"score_gpt":0.27430264138380606,"score_spread":0.23618432399128436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981827073","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01483992,0.0018413193,1.7778531e-7,0.0000799272,0.0003691766,0.00046978056,0.00009202386,0.00011840491,0.9821893],"genre_scores_gemma":[0.064083636,0.00016177542,0.000044159577,0.0003327849,0.00040942553,0.0000063706325,0.000014422448,0.000035001365,0.93491244],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982944,0.000031501244,0.0003212795,0.0004694085,0.0005730029,0.00031041776],"domain_scores_gemma":[0.99918824,0.00008104505,0.00020036154,0.00031734022,0.000051838946,0.00016117278],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005261509,0.00027401122,0.0004026929,0.00009354717,0.00031016045,0.00016648664,0.0004340352,0.00044832047,0.0003465575],"category_scores_gemma":[0.000014596882,0.0002513391,0.000131498,0.000013510963,0.0007606931,0.00013852846,0.000074216005,0.00041556623,0.000072773946],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000073395977,0.000005814872,0.017758768,0.000073287236,0.00007360643,0.000012309267,0.0033877676,8.551416e-8,0.0000016861914,0.019779876,0.00016539678,0.95873404],"study_design_scores_gemma":[0.00012299363,0.000020791036,0.009725321,0.00014590086,0.000106905965,2.9636865e-7,0.000064078675,5.317996e-8,0.0000024758954,0.017887622,0.97159034,0.0003331931],"about_ca_topic_score_codex":0.000026548103,"about_ca_topic_score_gemma":0.0012875085,"teacher_disagreement_score":0.971425,"about_ca_system_score_codex":0.000038812046,"about_ca_system_score_gemma":0.00038534068,"threshold_uncertainty_score":0.99999386},"labels":[],"label_agreement":null},{"id":"W2981839292","doi":"10.1097/01.ee9.0000606376.41462.dc","title":"Assessing spatial variation of PM2.5 and NO2 across Europe using Geographically Weighted Regression","year":2019,"lang":"en","type":"article","venue":"Environmental Epidemiology","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Kriging; Geographically Weighted Regression; Spatial variability; Linear regression; Environmental science; Regression analysis; Standard deviation; Air pollution; Regression; Variogram; Standard error; Statistics; Pollution; Atmospheric sciences; Mathematics; Geology","score_opus":0.03772224924889321,"score_gpt":0.35212495598097715,"score_spread":0.3144027067320839,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981839292","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961597,0.00025319937,0.0024602783,0.00023274912,0.00023303115,0.00016928632,0.000011491666,0.000019122695,0.00046116777],"genre_scores_gemma":[0.9976696,0.000103492246,0.0019287496,0.0001261929,0.000085846514,0.0000011446235,0.00002600204,0.00000922405,0.00004975254],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980971,0.0006977085,0.00041821448,0.00034400038,0.00014070241,0.0003022343],"domain_scores_gemma":[0.9990203,0.00040547366,0.00031693655,0.00016351411,0.000007798917,0.0000860188],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017517679,0.0001100753,0.00032621287,0.00003164882,0.000265589,0.00001358786,0.0001321227,0.00018667273,0.00039084337],"category_scores_gemma":[0.0001533263,0.00009320265,0.00006112131,0.000096500175,0.00063382497,0.00034331283,0.00006830163,0.00015461566,0.000009839385],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021884014,0.00005147709,0.98027706,0.000009100194,0.000011122095,0.0000011682075,0.00080430333,0.000022612256,0.014860753,0.00024450183,0.0000014814666,0.0036945436],"study_design_scores_gemma":[0.00023707803,0.000034472618,0.99682397,0.000021991678,0.000016884662,5.8531384e-7,0.00026992284,0.00082092994,0.00011533172,0.0010826146,0.00047543857,0.00010076234],"about_ca_topic_score_codex":0.0023399056,"about_ca_topic_score_gemma":0.00012908707,"teacher_disagreement_score":0.016546935,"about_ca_system_score_codex":0.00004416677,"about_ca_system_score_gemma":0.000020269983,"threshold_uncertainty_score":0.4279461},"labels":[],"label_agreement":null},{"id":"W2981884953","doi":"10.1016/b978-0-12-814694-1.00017-8","title":"Children’s school travel and wellbeing in the Netherlands","year":2019,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Cycling; Context (archaeology); Mode (computer interface); Travel behavior; Mode of transport; Geography; Psychology; Transport engineering; Public transport; Engineering; Computer science","score_opus":0.013550998641589236,"score_gpt":0.2547337035382336,"score_spread":0.24118270489664437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981884953","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0139475195,0.0013533934,6.7658624e-7,0.00021451268,0.00017376961,0.0007648818,0.000014828958,0.000021885176,0.9835085],"genre_scores_gemma":[0.19918841,0.00015697561,0.000014574334,0.00037369446,0.0005994882,0.000009531762,0.000011226139,0.000024571056,0.7996215],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985629,0.000074686475,0.0003020185,0.00038625824,0.0003835316,0.00029065053],"domain_scores_gemma":[0.99932665,0.00009084383,0.00012397616,0.00034180997,0.000026168154,0.00009058138],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009425009,0.00023782872,0.00033567796,0.00007758577,0.00023624365,0.00012474136,0.0004737789,0.0003260447,0.0002801455],"category_scores_gemma":[0.000015420614,0.00017118854,0.00012355269,0.00001754223,0.00031845333,0.000075029806,0.000027123879,0.0006234898,0.00005426384],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019469058,0.000015552967,0.1296786,0.00005422446,0.00005273152,0.000016665976,0.011476058,1.336604e-7,0.000003252203,0.016594684,0.00017103922,0.8419176],"study_design_scores_gemma":[0.00039967938,0.000028594422,0.24413267,0.0002709373,0.00008524737,0.0000013653155,0.00027834816,7.6066055e-7,0.0000017964934,0.023280928,0.73106766,0.000451996],"about_ca_topic_score_codex":0.000068278576,"about_ca_topic_score_gemma":0.004135269,"teacher_disagreement_score":0.8414656,"about_ca_system_score_codex":0.00005259838,"about_ca_system_score_gemma":0.00023493166,"threshold_uncertainty_score":0.6980866},"labels":[],"label_agreement":null},{"id":"W2981903435","doi":"10.1061/(asce)up.1943-5444.0000538","title":"Travelers’ Potential Demand toward Flex-Route Transit: Nanjing, China, Case Study","year":2019,"lang":"en","type":"article","venue":"Journal of Urban Planning and Development","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"FLEX; Multinomial logistic regression; Transport engineering; Transit (satellite); Mixed logit; Service (business); Mode choice; Discrete choice; Shanghai china; Computer science; Business; Public transport; Operations research; Logistic regression; Engineering; Marketing; Telecommunications; Geography","score_opus":0.02746944762112788,"score_gpt":0.29616395098774057,"score_spread":0.2686945033666127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981903435","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99618685,0.0008071876,0.001287735,0.00014242678,0.00055943645,0.00023528421,0.0000017712847,0.00001934878,0.000759953],"genre_scores_gemma":[0.9981898,0.000009642145,0.00086947164,0.000039535946,0.00019508827,0.0000013165053,0.0000013742656,0.000009517963,0.00068424747],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982591,0.000111682115,0.00057875534,0.00020929505,0.00054103433,0.0003001226],"domain_scores_gemma":[0.999282,0.00003642511,0.0002710338,0.00008165669,0.00009831581,0.00023054068],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014370625,0.00015908152,0.00034670127,0.00013565276,0.00042677965,0.00013925767,0.0001809452,0.000083754196,0.00009284324],"category_scores_gemma":[0.000015002741,0.00012920007,0.00007526976,0.00013137859,0.000065185995,0.00032350415,0.000015460852,0.00028338452,0.0000043643454],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009278314,0.00016621307,0.7979842,0.000024223482,0.00010514423,0.0026354534,0.19543198,0.000058322184,0.000034221128,0.0000044233943,0.0002687639,0.003194317],"study_design_scores_gemma":[0.0018780436,0.00028740065,0.9137367,0.000121381854,0.00008205085,0.00038005086,0.077006094,0.00002415754,0.00008131713,0.000033847227,0.0060718074,0.0002971468],"about_ca_topic_score_codex":0.0003804919,"about_ca_topic_score_gemma":0.00015945446,"teacher_disagreement_score":0.118425876,"about_ca_system_score_codex":0.00007896921,"about_ca_system_score_gemma":0.00043200824,"threshold_uncertainty_score":0.52686256},"labels":[],"label_agreement":null},{"id":"W2982403460","doi":"10.1161/jaha.119.013146","title":"Association Between Neighborhood Walkability and Predicted 10‐Year Cardiovascular Disease Risk: The CANHEART (Cardiovascular Health in Ambulatory Care Research Team) Cohort","year":2019,"lang":"en","type":"article","venue":"Journal of the American Heart Association","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":114,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre; Public Health Ontario; University of Toronto; St. Michael's Hospital","funders":"","keywords":"Medicine; Odds ratio; Cohort; Walkability; Diabetes mellitus; Logistic regression; Cohort study; Population; Internal medicine; Demography; Environmental health; Gerontology; Physical therapy; Endocrinology","score_opus":0.017211151600943088,"score_gpt":0.3051820442151267,"score_spread":0.28797089261418357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2982403460","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9910067,0.0024612667,0.000008402189,0.0048856717,0.00029332386,0.0010185817,0.00007579103,0.000018664823,0.00023163449],"genre_scores_gemma":[0.998338,0.00066592713,0.000029411787,0.00012018173,0.0006095202,0.000010660349,0.0000054944567,0.000016301548,0.000204489],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98915553,0.0064132465,0.00065892236,0.0003396287,0.002856994,0.00057570403],"domain_scores_gemma":[0.9963071,0.0010780593,0.0007882041,0.00063814525,0.0009424729,0.00024605967],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.028176997,0.00014478833,0.00088960415,0.00011301474,0.00081377284,0.00012768811,0.00041027312,0.00012365886,0.000024636787],"category_scores_gemma":[0.0030561981,0.000101871825,0.0010727112,0.0011450337,0.00023663454,0.0003617509,0.0000709893,0.0011477917,0.0000070859687],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036153895,0.00003736617,0.9921022,0.000020146079,0.0009967712,3.1625106e-7,0.0033057309,0.00019809135,0.0000015453328,0.000003003288,0.0019100751,0.0013885937],"study_design_scores_gemma":[0.0004563703,0.00007478521,0.97353077,0.00004591477,0.00037326533,1.2800183e-7,0.003099207,0.000032268166,0.0000029490714,0.00022227435,0.022060921,0.00010115745],"about_ca_topic_score_codex":0.020403821,"about_ca_topic_score_gemma":0.0015359271,"teacher_disagreement_score":0.025120798,"about_ca_system_score_codex":0.004105565,"about_ca_system_score_gemma":0.0012753737,"threshold_uncertainty_score":0.9997175},"labels":[],"label_agreement":null},{"id":"W2982510473","doi":"10.3917/gs1.160.0015","title":"La mobilité d’aînés d’un arrondissement montréalais : frictions et ancrages","year":2019,"lang":"fr","type":"article","venue":"Gérontologie et société","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.029927755393229373,"score_gpt":0.3568873317798514,"score_spread":0.326959576386622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2982510473","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75642544,0.013395956,0.00033124402,0.019624898,0.0038761038,0.0008103432,0.000113060516,0.00029791045,0.20512502],"genre_scores_gemma":[0.96494055,0.0027337577,0.0008573403,0.0009323394,0.00023033094,0.00010971707,0.000051356143,0.00003583345,0.03010877],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9956749,0.0011839257,0.00064742216,0.00090453477,0.00060588215,0.0009833084],"domain_scores_gemma":[0.99758846,0.00099646,0.00029320503,0.000725788,0.0001337571,0.00026233477],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002132352,0.00044208198,0.0006458141,0.000060520204,0.0005506168,0.00016802178,0.00072029815,0.0006998145,0.011618975],"category_scores_gemma":[0.00018785486,0.00043352466,0.00048163757,0.00044633212,0.00080833974,0.0010195923,0.00012798098,0.0008345927,0.0006572393],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049939907,0.001559829,0.8005182,0.00021388731,0.00032860687,0.00004197871,0.04062833,0.00012544655,0.00014677232,0.059396494,0.011544214,0.08544627],"study_design_scores_gemma":[0.0009257448,0.00017062308,0.7127418,0.00008704564,0.00019186224,0.0000016495641,0.037246622,0.00007384475,0.00010221689,0.017214766,0.23060018,0.00064368715],"about_ca_topic_score_codex":0.010967036,"about_ca_topic_score_gemma":0.024426496,"teacher_disagreement_score":0.21905597,"about_ca_system_score_codex":0.00047251553,"about_ca_system_score_gemma":0.0004397153,"threshold_uncertainty_score":0.99981165},"labels":[],"label_agreement":null},{"id":"W2983931572","doi":"10.5198/jtlu.2019.1337","title":"Examining interaction effects among land-use policies to reduce household vehicle travel: An exploratory analysis","year":2019,"lang":"en","type":"article","venue":"Journal of Transport and Land Use","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Land use; Interaction; Travel behavior; Metropolitan area; TRIPS architecture; Econometrics; Ordinary least squares; Land use, land-use change and forestry; Mode choice; Fixed effects model; Transport engineering; Panel data; Geography; Economics; Statistics; Public transport; Engineering; Mathematics","score_opus":0.053643828729122364,"score_gpt":0.29884193832855893,"score_spread":0.24519810959943655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2983931572","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991745,0.0000624204,0.0001245692,0.0000796215,0.000280624,0.0001504313,0.000013028247,0.000024470319,0.00009038768],"genre_scores_gemma":[0.99926406,0.00008400686,0.00008560136,0.000109259076,0.00022323444,0.0000017973094,0.000008334204,0.000013121473,0.00021055815],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987195,0.00010572269,0.00039643486,0.00019729865,0.00034268468,0.0002383287],"domain_scores_gemma":[0.9990849,0.00013305852,0.00020993956,0.00015460727,0.00010091062,0.0003166182],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000683458,0.00013480312,0.00039811744,0.0002978976,0.00015919715,0.00016161935,0.00016334838,0.00009983219,0.00004160618],"category_scores_gemma":[0.000023645734,0.000106346124,0.00015017031,0.000477301,0.00006838191,0.0022418832,0.0000044278268,0.00022894572,0.000001224852],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018374843,0.00008731965,0.98334974,0.000020955971,0.00013064803,0.00003090346,0.014761658,0.00020741328,0.0008234942,0.000006665241,0.000020171512,0.0003772601],"study_design_scores_gemma":[0.0005000537,0.00017528865,0.9954602,0.000068901914,0.00038821125,7.723232e-7,0.00209539,0.000019228217,0.00040929255,0.00001138536,0.00072381966,0.00014743164],"about_ca_topic_score_codex":0.0040387535,"about_ca_topic_score_gemma":0.015546592,"teacher_disagreement_score":0.012666268,"about_ca_system_score_codex":0.00003441527,"about_ca_system_score_gemma":0.00006124708,"threshold_uncertainty_score":0.8675363},"labels":[],"label_agreement":null},{"id":"W2984864419","doi":"10.1016/b978-0-12-815167-9.00005-0","title":"Urban design for sustainable and livable communities: the case of Vancouver","year":2019,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sustainability; Environmental planning; Urban planning; Citizen journalism; Context (archaeology); Participatory planning; Urban design; Sustainable development; Urban sustainability; Control (management); Sustainable community; Political science; Geography; Engineering; Civil engineering; Computer science","score_opus":0.030744451733636362,"score_gpt":0.2730012862944726,"score_spread":0.24225683456083627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2984864419","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00065000803,0.0014991619,0.000044598863,0.000030488614,0.00018690136,0.0020071946,0.00003641213,0.00002748324,0.99551773],"genre_scores_gemma":[0.07974261,0.000059732392,0.00014654653,0.000093569,0.00015097354,0.000040918272,0.000005253492,0.00003463231,0.9197258],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99885184,0.0000945921,0.0003302611,0.00020537648,0.00017201442,0.00034591448],"domain_scores_gemma":[0.99815416,0.0006862176,0.00025722056,0.0005176421,0.0003104163,0.00007432991],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013474523,0.00022296506,0.00042097733,0.00005945646,0.0007618336,0.000078882236,0.00040001937,0.00025930183,0.00019374194],"category_scores_gemma":[0.000028486553,0.00016634472,0.00016250188,0.000015725356,0.00084233686,0.00012354749,0.000068302616,0.00027342967,0.0000029586597],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026275113,0.00006953051,0.0011269595,0.0026587932,0.0004567583,0.00032734795,0.10109859,0.000004021566,0.0000019115153,0.34359848,0.04315009,0.50724477],"study_design_scores_gemma":[0.00021956116,0.000069311536,0.000007695365,0.00012103913,0.00015236279,0.0000016637447,0.009595318,0.000007139536,0.0000061001942,0.033790242,0.9558136,0.0002159962],"about_ca_topic_score_codex":0.00067623827,"about_ca_topic_score_gemma":0.015053973,"teacher_disagreement_score":0.91266346,"about_ca_system_score_codex":0.00007706603,"about_ca_system_score_gemma":0.00051017944,"threshold_uncertainty_score":0.840047},"labels":[],"label_agreement":null},{"id":"W29856255","doi":"10.1164/rccm.19711p19","title":"Do Sufficient Recreational Programs for Disabled Children Exist in Monroe and Ontario Counties","year":2013,"lang":"en","type":"article","venue":"American Journal of Respiratory and Critical Care Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Recreation; Political science; Law","score_opus":0.026718370966249495,"score_gpt":0.3284602310918341,"score_spread":0.30174186012558457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W29856255","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946221,0.002315603,0.000057928522,0.0018002078,0.000077442084,0.00023812862,0.0000031686852,0.0000051199363,0.00088027894],"genre_scores_gemma":[0.99913824,0.000027860542,0.00020359526,0.00034121601,0.00024136115,0.000014123007,0.0000028108534,0.000004479414,0.000026317966],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988904,0.00009291644,0.0003415868,0.0001454612,0.0003247895,0.00020487224],"domain_scores_gemma":[0.99897814,0.00025622966,0.000096182135,0.000058328034,0.00038477566,0.0002263534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000635282,0.0000879989,0.00029355058,0.00006728671,0.00017168012,0.000054246433,0.00009580867,0.00003396695,0.00010470465],"category_scores_gemma":[0.00032677362,0.00006314006,0.000037157675,0.00014140044,0.0023537457,0.00022192921,0.000008297553,0.00016781979,2.3854736e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006927846,0.00005119685,0.95631766,0.000019956145,0.0000078202775,0.0000034415475,0.009743852,1.7437999e-7,0.000009963214,0.0021502774,0.00011045836,0.03151591],"study_design_scores_gemma":[0.00070148107,0.0016467458,0.9539515,0.00016296262,0.00004980886,0.0000026265734,0.036532648,8.1081333e-7,0.00000479381,0.0022949472,0.0045504607,0.00010125363],"about_ca_topic_score_codex":0.010822445,"about_ca_topic_score_gemma":0.013327571,"teacher_disagreement_score":0.031414658,"about_ca_system_score_codex":0.000086083055,"about_ca_system_score_gemma":0.00020801071,"threshold_uncertainty_score":0.99576455},"labels":[],"label_agreement":null},{"id":"W2986181312","doi":"10.32866/10828","title":"Where to put bike counters? Stratifying bicycling patterns in the city using crowdsourced data","year":2019,"lang":"en","type":"article","venue":"Findings","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University; University of Victoria","funders":"Simon Fraser University; Public Health Agency; Public Health Agency of Canada; Arizona State University","keywords":"Categorization; Transport engineering; Crowdsourcing; Computer science; Geography; Engineering; World Wide Web; Artificial intelligence","score_opus":0.11216113635740618,"score_gpt":0.3732294632356299,"score_spread":0.2610683268782237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2986181312","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9960356,0.000030409758,0.00033563696,0.0010205833,0.00024734566,0.00038116355,0.000056337263,0.00003285557,0.0018601208],"genre_scores_gemma":[0.9990643,0.0000044496287,0.00017942634,0.00036151538,0.00015468796,0.000002697658,0.000022260005,0.00000866896,0.00020195007],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985463,0.0000829581,0.00023112724,0.0003864147,0.00039336472,0.00035983755],"domain_scores_gemma":[0.9992433,0.00011825054,0.000063407926,0.00048736687,0.000026048618,0.000061607454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015387237,0.0001043775,0.00014785475,0.00007001117,0.00031389255,0.00030787443,0.0011100537,0.00008246415,0.00042628267],"category_scores_gemma":[0.00006525437,0.0000836896,0.000037182715,0.00041116643,0.00005230618,0.000620329,0.00008927266,0.00021619248,0.000032842618],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006741089,0.00001996573,0.9829965,0.0000243958,0.0000036758004,0.0000038468884,0.016073002,0.000011481948,0.00049165165,0.00007410244,0.00008656784,0.00020805228],"study_design_scores_gemma":[0.0002757507,0.000017647864,0.9793195,0.0002444155,0.000016880997,3.516359e-7,0.011915833,0.00045364548,0.000089565074,0.00018991539,0.0072206846,0.00025580957],"about_ca_topic_score_codex":0.01178454,"about_ca_topic_score_gemma":0.02605739,"teacher_disagreement_score":0.01427285,"about_ca_system_score_codex":0.000080605154,"about_ca_system_score_gemma":0.00008475587,"threshold_uncertainty_score":0.9947961},"labels":[],"label_agreement":null},{"id":"W2987062389","doi":"10.4018/978-1-5225-9570-0.ch016","title":"Improving Bikesharing Service Quality","year":2019,"lang":"en","type":"book-chapter","venue":"Advances in logistics, operations, and management science book series","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Concordia University","funders":"","keywords":"Complaint; Service quality; Customer satisfaction; Descriptive statistics; Service (business); Transport engineering; Quality (philosophy); Point (geometry); Quality of service; Business; Marketing; Computer science; Telecommunications; Engineering; Statistics","score_opus":0.03158694335371768,"score_gpt":0.32578120570478736,"score_spread":0.29419426235106966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2987062389","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00019014567,0.0071695643,0.0041591623,0.00080073683,0.0010833554,0.0011260251,0.000045527697,0.0001124295,0.98531306],"genre_scores_gemma":[0.039594583,0.07828335,0.009167841,0.0018836922,0.00037224882,0.000064814936,0.00007872001,0.0000443123,0.87051046],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974573,0.00002961257,0.0005581879,0.00086076674,0.00065135834,0.0004427248],"domain_scores_gemma":[0.99898696,0.00006173946,0.00017531149,0.00045564765,0.00020982778,0.00011053684],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001469739,0.00027549645,0.00035144185,0.0002539239,0.00116203,0.00047894844,0.0006893317,0.00012583418,0.00018214218],"category_scores_gemma":[0.00012147291,0.00027626072,0.000042437598,0.00017961407,0.002234743,0.0048930948,0.00025459958,0.0002267696,0.000031946543],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013058051,0.00001451866,0.0030327486,0.0003682089,0.000006351198,0.0000058517844,0.0008154721,0.00047867108,0.0000064889223,0.98916924,0.000020209307,0.006069206],"study_design_scores_gemma":[0.00039000917,0.00005925815,0.0055804327,0.00043656878,0.00007702413,4.563959e-7,0.0033214074,0.000302272,0.000019254143,0.05325566,0.93550175,0.0010559175],"about_ca_topic_score_codex":0.0011515717,"about_ca_topic_score_gemma":0.037373975,"teacher_disagreement_score":0.93591356,"about_ca_system_score_codex":0.00021574648,"about_ca_system_score_gemma":0.0003004697,"threshold_uncertainty_score":0.99996895},"labels":[],"label_agreement":null},{"id":"W2987698575","doi":"10.1093/eurpub/ckz185.298","title":"Neighborhood walkability related to knee and low back pain for older people: A multilevel analysis","year":2019,"lang":"en","type":"article","venue":"European Journal of Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Walkability; Medicine; Stairs; Knee pain; Confounding; Quarter (Canadian coin); Population; Physical therapy; Cross-sectional study; Gerontology; Physical activity; Demography; Environmental health; Geography; Osteoarthritis; Internal medicine","score_opus":0.033255218677530146,"score_gpt":0.31618684829268384,"score_spread":0.2829316296151537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2987698575","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9357715,0.00016577305,0.03910897,0.021470578,0.00028064183,0.00065699196,0.000024375982,0.000024403496,0.002496734],"genre_scores_gemma":[0.99654853,0.000019825242,0.001341748,0.001167147,0.000121044555,0.0000012676637,0.000007235823,0.000017359856,0.00077584176],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.993988,0.0038333035,0.0009291611,0.00030747682,0.0004082527,0.00053381315],"domain_scores_gemma":[0.9975356,0.00038450022,0.00051599176,0.00025244665,0.000424566,0.0008869111],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.03767007,0.0001318738,0.00048571336,0.00026481762,0.00026060655,0.00016073743,0.00034203965,0.000040478004,0.00073776796],"category_scores_gemma":[0.0010921046,0.00010968446,0.00023606175,0.00101232,0.000073623465,0.0004643274,0.000028677334,0.00024906435,0.000031432395],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000143905245,0.00018654266,0.8581833,0.00011143062,0.00014402575,0.0000026095213,0.021774841,0.000012329807,0.000006137499,0.00019686538,0.0010240449,0.11834343],"study_design_scores_gemma":[0.00086986483,0.00029947556,0.9850942,0.00003172922,0.000029981884,6.994889e-7,0.0017042409,0.00032225312,4.2493585e-7,0.00010771543,0.011413618,0.00012580026],"about_ca_topic_score_codex":0.00024262874,"about_ca_topic_score_gemma":0.0007533962,"teacher_disagreement_score":0.12691085,"about_ca_system_score_codex":0.00015407638,"about_ca_system_score_gemma":0.00071267295,"threshold_uncertainty_score":0.9909212},"labels":[],"label_agreement":null},{"id":"W298825548","doi":"","title":"Metropolitan Transportation Governance Institutions: International Experience for Metropolitan Areas in Developing Countries","year":2012,"lang":"en","type":"article","venue":"Transportation Research Board 91st Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Stakeholder; Scope (computer science); Business; Corporate governance; Environmental planning; Regional science; Finance; Political science; Geography; Public relations; Computer science","score_opus":0.11626910486950391,"score_gpt":0.4516876439799556,"score_spread":0.33541853911045166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W298825548","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9735722,0.0011854818,0.0037182516,0.008186895,0.0011285505,0.003323166,0.001627601,0.0002954591,0.0069624176],"genre_scores_gemma":[0.98756415,0.002276634,0.0051459675,0.00021447624,0.0008108281,0.0018176254,0.0011720048,0.000089980196,0.0009083423],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9871195,0.0010791462,0.0019238378,0.0012741573,0.0054571084,0.0031462263],"domain_scores_gemma":[0.9918746,0.0016720159,0.00037030573,0.00056010165,0.0046137944,0.00090919016],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.010258518,0.0005269558,0.0006971784,0.00149158,0.0025269485,0.00035305688,0.001437131,0.00052572845,0.0006394138],"category_scores_gemma":[0.0011178105,0.00058020983,0.00034750687,0.0037741454,0.0028082805,0.004603396,0.000010608527,0.0013275376,0.000063074694],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000634077,0.00032980493,0.5967586,0.0002212886,0.00005779809,0.000021972055,0.0381598,0.00004525165,0.00010675701,0.36221763,0.0010248302,0.00042217225],"study_design_scores_gemma":[0.0012986738,0.000105569095,0.6911891,0.00027870372,0.000028437802,7.003241e-8,0.07586477,0.00001721159,0.0008465054,0.0024383292,0.22740138,0.0005312631],"about_ca_topic_score_codex":0.099482864,"about_ca_topic_score_gemma":0.34523022,"teacher_disagreement_score":0.3597793,"about_ca_system_score_codex":0.0038729487,"about_ca_system_score_gemma":0.0021182168,"threshold_uncertainty_score":0.999951},"labels":[],"label_agreement":null},{"id":"W2988672711","doi":"10.1177/1524839919888484","title":"Perceptions of Paratransit Accessibility Among Persons With Disabilities: An Adapted Photovoice Study","year":2019,"lang":"en","type":"article","venue":"Health Promotion Practice","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Paratransit; Photovoice; Witness; Psychology; Political science; Service (business); Economic growth; Business","score_opus":0.06902070384352212,"score_gpt":0.414183568628143,"score_spread":0.3451628647846209,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2988672711","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9867127,0.000021538299,0.00046127866,0.002062446,0.00014676915,0.0031533458,0.00003352697,0.00014719552,0.007261197],"genre_scores_gemma":[0.99823004,0.000012994188,0.000680158,0.00013029433,0.0000706774,0.00009038381,0.000025568701,0.00001722323,0.00074263394],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99552375,0.0020663852,0.00058155874,0.000623706,0.00077373395,0.0004308652],"domain_scores_gemma":[0.9976459,0.0004697042,0.0004995252,0.0006271863,0.00044352928,0.0003141696],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003971278,0.0001723727,0.00036545022,0.00006983533,0.0007448856,0.000083715866,0.00031237252,0.000105336854,0.0019419203],"category_scores_gemma":[0.00037202585,0.00014959475,0.000065372566,0.00062655215,0.0004233439,0.0037924591,0.000015002999,0.00038208382,0.000029857682],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016894363,0.004275639,0.86927915,0.0001516045,0.000023048568,0.0000010471113,0.1254496,0.000010966473,0.000026395683,0.00012863317,0.00001696211,0.00046802158],"study_design_scores_gemma":[0.0005566268,0.0015288356,0.6773386,0.000038856575,0.000053480762,5.7038733e-7,0.3197449,0.00004976145,0.000008107729,0.0000563137,0.00048168527,0.0001422457],"about_ca_topic_score_codex":0.028428994,"about_ca_topic_score_gemma":0.04836489,"teacher_disagreement_score":0.19429532,"about_ca_system_score_codex":0.00023049822,"about_ca_system_score_gemma":0.00092353404,"threshold_uncertainty_score":0.99897045},"labels":[],"label_agreement":null},{"id":"W2989518112","doi":"10.2196/12976","title":"Assessing Physical Activities Occurring on Sidewalks and Streets: Protocol for a Cross-Sectional Study","year":2019,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cross-sectional study; Protocol (science); Psychology; Medicine; Computer science; Alternative medicine","score_opus":0.4238766049328034,"score_gpt":0.6545674574209609,"score_spread":0.23069085248815752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2989518112","genre_codex":"protocol","genre_gemma":"protocol","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"protocol","genre_consensus":"protocol","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45279202,3.8324284e-8,0.0000042571087,0.000018632572,0.000004761328,0.54413116,0.000005883986,0.000045887155,0.0029973607],"genre_scores_gemma":[0.42425257,1.7514671e-9,0.000023490888,0.000006900785,0.00023850644,0.5749903,7.7734285e-7,0.000011113777,0.00047635133],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99661845,0.00050479965,0.0002648233,0.00062000024,0.001334469,0.0006574668],"domain_scores_gemma":[0.9983438,0.0008259209,0.00009266084,0.00030360426,0.0002720683,0.00016194182],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0031194736,0.00015186779,0.0002230515,0.0001372444,0.0011918028,0.0016165852,0.00038303528,0.000106747015,0.00016199048],"category_scores_gemma":[0.0001922537,0.0001276049,0.000084340514,0.00030931947,0.00048267798,0.0013334758,0.000095109026,0.00055308314,0.000017164388],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006427027,0.0017292005,0.9915726,0.00034385332,0.000010775042,0.0000022779946,0.0025646172,0.0000022251986,0.00029182667,0.0006793138,0.00010882597,0.0020517437],"study_design_scores_gemma":[0.0031743,0.0017651058,0.9588267,0.00040260237,8.0421813e-7,9.112009e-8,0.0037137605,0.0000616027,0.00050602754,0.002702605,0.028637907,0.00020849313],"about_ca_topic_score_codex":0.00025018357,"about_ca_topic_score_gemma":0.0003243972,"teacher_disagreement_score":0.032745935,"about_ca_system_score_codex":0.00017882042,"about_ca_system_score_gemma":0.00045819415,"threshold_uncertainty_score":0.9994198},"labels":[],"label_agreement":null},{"id":"W2989749339","doi":"10.4000/laboreal.5740","title":"Movilidades, territorios y servicio público : debates sobre el interés colectivo al margen del paradigma de una sociedad móvil","year":2013,"lang":"es","type":"article","venue":"Laboreal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Intertek (Canada)","funders":"","keywords":"Political science; Humanities; Philosophy","score_opus":0.009248130357065601,"score_gpt":0.29415834457975903,"score_spread":0.2849102142226934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2989749339","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97348833,0.00070527004,0.0000723992,0.009085783,0.0009870782,0.0008759222,0.00035033663,0.00027960082,0.0141552845],"genre_scores_gemma":[0.9940926,0.00038840793,0.00024177361,0.002027715,0.0014785044,0.00014598652,0.00013923956,0.00006626982,0.0014195233],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99588525,0.00034248584,0.0007021592,0.000900624,0.0007411255,0.0014283817],"domain_scores_gemma":[0.9979652,0.00018818272,0.00028545616,0.0005844771,0.00036229874,0.0006143967],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005975122,0.0005525869,0.00061688793,0.00011062386,0.00082068087,0.0008643127,0.0012093621,0.0005926512,0.0012085483],"category_scores_gemma":[0.00006935053,0.00052323384,0.0003144641,0.00093643577,0.0006011839,0.0010588855,0.00013749865,0.000639037,0.00024507265],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000775461,0.00061549566,0.9505115,0.00018111721,0.00018354079,0.000019114686,0.012591673,0.000006587164,0.0015164817,0.0039203367,0.024099408,0.0062772026],"study_design_scores_gemma":[0.0009848936,0.00015991648,0.9064818,0.00017922668,0.00012894471,0.0000017173596,0.0034361642,0.0009910297,0.001146801,0.013987901,0.07170917,0.0007924284],"about_ca_topic_score_codex":0.109751925,"about_ca_topic_score_gemma":0.030900298,"teacher_disagreement_score":0.078851625,"about_ca_system_score_codex":0.000497493,"about_ca_system_score_gemma":0.0008891124,"threshold_uncertainty_score":0.99972194},"labels":[],"label_agreement":null},{"id":"W2989787495","doi":"10.1177/0739456x19890668","title":"Review: <i>Adapting Cities to Sea Level Rise: Green and Gray Strategies</i> , by Stefan Al, <i>Unlocking Sustainable Cities: A Manifesto for Real Change</i> , by Paul Chatterton and <i>Life After Carbon: The Next Global Transformation of Cities</i> , by Peter Plastrik and John Cleveland","year":2019,"lang":"en","type":"article","venue":"Journal of Planning Education and Research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"EXP (Canada)","funders":"","keywords":"Gray (unit); Manifesto; Sustainable development; Economic geography; Geography; Environmental ethics; Political science; Law; Philosophy","score_opus":0.06836923605264796,"score_gpt":0.3788714687963258,"score_spread":0.3105022327436779,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2989787495","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.956194,0.03404371,0.000054499968,0.007886932,0.00010686673,0.0008100862,0.0001903795,0.000005698081,0.0007078288],"genre_scores_gemma":[0.99016225,0.007973915,0.00004341833,0.00097518304,0.00017731081,0.000045289842,0.000022176717,0.000010368125,0.0005901098],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9981762,0.0002435257,0.0004440571,0.00020506591,0.0005353891,0.0003957693],"domain_scores_gemma":[0.99874604,0.00029242065,0.00022429258,0.00008932187,0.00041211967,0.00023582924],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025708776,0.0001448994,0.00029627842,0.00010037604,0.00044681982,0.0003502624,0.00015511483,0.00009245027,0.000009929586],"category_scores_gemma":[0.000065191954,0.00010722674,0.0000366742,0.00022241285,0.00028509603,0.00089554273,0.00003191981,0.00028760193,9.1102784e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00092685164,0.00015887857,0.6062447,0.006193784,0.00011541588,0.000005238032,0.13254341,0.0000012890881,0.00061813445,0.00024002745,0.24402128,0.008931006],"study_design_scores_gemma":[0.0023723298,0.0012678457,0.12405645,0.005016123,0.00016409701,0.00004862022,0.46906275,0.00008519281,0.00016691539,0.0010754064,0.3960218,0.00066246605],"about_ca_topic_score_codex":0.005351306,"about_ca_topic_score_gemma":0.00038177296,"teacher_disagreement_score":0.48218822,"about_ca_system_score_codex":0.000077897166,"about_ca_system_score_gemma":0.00044073845,"threshold_uncertainty_score":0.808961},"labels":[],"label_agreement":null},{"id":"W2989932938","doi":"10.1016/j.socscimed.2019.112702","title":"Is accessibility in the eye of the beholder? Social inequalities in spatial accessibility to health-related resources in Montréal, Canada","year":2019,"lang":"en","type":"article","venue":"Social Science & Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Montréal; Centre Hospitalier de l’Université de Montréal; Public Health Ontario; University of Toronto","funders":"Université Sorbonne Paris Cité; Canadian Institutes of Health Research; Centre National de la Recherche Scientifique","keywords":"Neighbourhood (mathematics); Residence; Inequality; Recreation; Social inequality; Geography; Sociology; Socioeconomics; Political science; Demography","score_opus":0.03802529864514938,"score_gpt":0.34372882088009377,"score_spread":0.3057035222349444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2989932938","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94447905,0.0002040223,0.0000013348362,0.04814293,0.000534636,0.0011374378,0.000024786408,0.0000137275565,0.0054620593],"genre_scores_gemma":[0.9972837,0.0000070221727,0.0000017099376,0.002309637,0.00020594761,0.000026306447,0.0000025608401,0.000006633709,0.0001564866],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9938962,0.001053931,0.0012258772,0.00068173156,0.0022748355,0.0008674496],"domain_scores_gemma":[0.99857473,0.00027940932,0.0004355197,0.00041604313,0.00015878186,0.00013552021],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011820788,0.00020190835,0.00062403386,0.00018683303,0.00090740586,0.00006219502,0.0022303297,0.00014838357,0.0002802481],"category_scores_gemma":[0.0008563812,0.00012640323,0.000081322774,0.004069018,0.002642378,0.0004976918,0.00013988017,0.0005688696,0.0000010914083],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003286584,0.00007488437,0.73948145,0.000032012762,0.0000011398917,0.0000014394557,0.25780535,0.0000017443949,0.000050090002,0.00029439334,0.00022065146,0.0020039428],"study_design_scores_gemma":[0.00059669855,0.000032303054,0.9426914,0.0000841432,0.0000041305148,3.377783e-8,0.05330231,0.000011820189,0.000028868235,0.0024930916,0.00062645646,0.00012878318],"about_ca_topic_score_codex":0.975164,"about_ca_topic_score_gemma":0.98889935,"teacher_disagreement_score":0.20450304,"about_ca_system_score_codex":0.001264375,"about_ca_system_score_gemma":0.003409911,"threshold_uncertainty_score":0.97359514},"labels":[],"label_agreement":null},{"id":"W2990073215","doi":"10.1136/bmjopen-2019-032475","title":"Is neighbourhood walkability related to body mass index among different age groups? A cross-sectional study of Canadian urban areas","year":2019,"lang":"en","type":"article","venue":"BMJ Open","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto; Public Health Ontario","funders":"Public Health Ontario","keywords":"Walkability; Medicine; Underweight; Demography; Body mass index; Neighbourhood (mathematics); Overweight; Confounding; Cross-sectional study; Population; Gerontology; Environmental health; Physical activity","score_opus":0.04984850953535666,"score_gpt":0.3734140518425376,"score_spread":0.32356554230718093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2990073215","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.947114,0.0000022997078,0.0000012003039,0.00019355363,0.000362868,0.008091042,0.000058091366,0.000026822827,0.044150114],"genre_scores_gemma":[0.9939601,2.5544725e-7,0.0000079579795,0.000083171515,0.00005935542,0.00024364794,0.000019056119,0.000014181043,0.0056122956],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974977,0.00018047252,0.0006078185,0.0005945458,0.0006696759,0.00044978602],"domain_scores_gemma":[0.99855506,0.00006512417,0.00018133239,0.0005538163,0.00016847221,0.00047621373],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015288073,0.00017284794,0.00038443724,0.00019880164,0.0003829259,0.00039246658,0.0011091507,0.00017874753,0.004730239],"category_scores_gemma":[0.00009539514,0.00015520694,0.00010853387,0.0007907631,0.00015598397,0.0005549515,0.00013686395,0.00022682264,0.000059913476],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009992794,0.00034595493,0.98983866,0.000016297854,0.00005037384,0.000008839335,0.009072486,0.0000054938814,0.00002475554,0.00031163124,0.00018785372,0.00003773969],"study_design_scores_gemma":[0.0008443842,0.00014550483,0.9947749,0.000021241876,0.000013067849,8.702577e-8,0.0024929296,0.000014439641,0.000016935193,0.0012582463,0.00020043508,0.00021785911],"about_ca_topic_score_codex":0.81246585,"about_ca_topic_score_gemma":0.8961921,"teacher_disagreement_score":0.08372623,"about_ca_system_score_codex":0.00032607958,"about_ca_system_score_gemma":0.00041679034,"threshold_uncertainty_score":0.9961796},"labels":[],"label_agreement":null},{"id":"W2990109863","doi":"10.1289/isesisee.2018.p01.0260","title":"Exploring the Utilitarian and Non-Utilitarian Bicycling Behaviors of North American Women Cyclists","year":2018,"lang":"en","type":"article","venue":"ISEE Conference Abstracts","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Environmental health; Psychology; Gerontology; Medicine","score_opus":0.07763495663368815,"score_gpt":0.3128088278732061,"score_spread":0.23517387123951794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2990109863","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99432975,0.000012809886,0.000015659089,0.00040401888,0.00027239378,0.00026065923,0.000018790031,0.000047488655,0.0046384484],"genre_scores_gemma":[0.99944246,0.000050471408,0.00009591626,0.000054044875,0.00021448855,0.000036096106,0.0000050766553,0.000010946192,0.00009049879],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982207,0.0000772567,0.0004342618,0.00037422456,0.0003606277,0.0005329694],"domain_scores_gemma":[0.998759,0.00017425188,0.00022452562,0.0003793737,0.00021655133,0.0002463553],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008028597,0.00016743755,0.00028022312,0.00007096432,0.00058723934,0.000094468276,0.0004905621,0.000038696668,0.00009725233],"category_scores_gemma":[0.00017345269,0.00013384884,0.000055866367,0.00039858004,0.0024171206,0.00064980803,0.000048898328,0.00021654171,0.0000148818835],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006372461,0.00009974928,0.8914085,0.000020142325,0.000020357153,0.000006709358,0.063647516,0.0000063335187,0.00017277879,0.00015695376,0.00001154457,0.044385657],"study_design_scores_gemma":[0.000119105214,0.000067587665,0.9889212,0.00002616285,0.000019387855,1.466289e-7,0.009387704,0.0000041794215,0.0001510749,0.00025178335,0.00089987984,0.00015179036],"about_ca_topic_score_codex":0.027592218,"about_ca_topic_score_gemma":0.105161734,"teacher_disagreement_score":0.09751266,"about_ca_system_score_codex":0.000057653597,"about_ca_system_score_gemma":0.00025465604,"threshold_uncertainty_score":0.97888315},"labels":[],"label_agreement":null},{"id":"W2990507877","doi":"10.1186/s12966-019-0871-9","title":"Evaluating the impact of implementing public bicycle share programs on cycling: the International Bikeshare Impacts on Cycling and Collisions Study (IBICCS)","year":2019,"lang":"en","type":"article","venue":"International Journal of Behavioral Nutrition and Physical Activity","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Public Health Ontario; University of Toronto; Centre Hospitalier de l’Université de Montréal; Université de Montréal; British Columbia Centre of Excellence for Women's Health; Simon Fraser University; Memorial University of Newfoundland; Vancouver Coastal Health","funders":"Canadian Institutes of Health Research","keywords":"Cycling; Behavioural sciences; Psychology; Geography; Forestry","score_opus":0.18095097308542935,"score_gpt":0.5000473472013677,"score_spread":0.31909637411593833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2990507877","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971997,0.000014384264,0.0000030592332,0.0017696358,0.00022427105,0.00052940444,0.00010051788,0.000009590908,0.0001494309],"genre_scores_gemma":[0.99945503,0.0000148429845,0.000015493833,0.000027922757,0.0004390093,0.000012231183,0.00001529483,0.0000075593543,0.000012621792],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99803525,0.00021790128,0.00031043962,0.00019106297,0.001055444,0.00018987842],"domain_scores_gemma":[0.9983808,0.0003658571,0.0005125448,0.00011092425,0.00052618154,0.00010370963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010899256,0.00013013714,0.0002124051,0.00010556125,0.00032905265,0.0003599895,0.00044627168,0.000040991974,0.000096645505],"category_scores_gemma":[0.00011552387,0.00007527106,0.0002181077,0.00017359585,0.00013367989,0.00063928403,0.000077852135,0.00038056582,0.0000014999645],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045590106,0.005996777,0.92519146,0.0000072795438,0.00012927863,0.000004948467,0.0042489413,0.000028717397,0.007992622,0.00018238774,0.00003182412,0.05572988],"study_design_scores_gemma":[0.0016643936,0.0016617097,0.98914194,0.00021759067,0.0000549409,0.0000028632212,0.004515829,0.0010465998,0.00075434893,0.0007473167,0.00007309159,0.00011935985],"about_ca_topic_score_codex":0.0008531965,"about_ca_topic_score_gemma":0.00018444157,"teacher_disagreement_score":0.06395052,"about_ca_system_score_codex":0.00013855548,"about_ca_system_score_gemma":0.000103534265,"threshold_uncertainty_score":0.3471387},"labels":[],"label_agreement":null},{"id":"W2990623754","doi":"10.1289/isesisee.2018.p03.0390","title":"Assessment of the Impact of New Subway Stations on Public Transit Mode Share Using a Quasi-Experimental Design (Montreal, Canada)","year":2018,"lang":"en","type":"article","venue":"ISEE Conference Abstracts","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto; McGill University; Université de Montréal; Montreal Police Service","funders":"","keywords":"Public transport; Transit (satellite); Mode (computer interface); Environmental science; Transport engineering; Environmental health; Engineering; Computer science; Medicine","score_opus":0.13265898363046114,"score_gpt":0.3986710457537992,"score_spread":0.26601206212333806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2990623754","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9905388,0.000016283873,0.0014845023,0.00025965553,0.0000985766,0.00034427468,0.00014059182,0.000012927936,0.007104415],"genre_scores_gemma":[0.9995806,0.0000023220914,0.00022780462,0.000024755416,0.00005912517,0.0000037754705,0.000009293668,0.0000074733553,0.00008485728],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984542,0.00011461572,0.000341576,0.00021111028,0.0005837047,0.00029479447],"domain_scores_gemma":[0.9989043,0.00009986516,0.0002579021,0.00026495452,0.00028955808,0.00018340745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000272439,0.00013209763,0.00021215834,0.000042458138,0.0002995307,0.000063866806,0.0004151244,0.00007185662,0.0007521964],"category_scores_gemma":[0.00005857651,0.0000974192,0.0001033778,0.00023595925,0.0003132099,0.00032137695,0.000010394557,0.000120216864,6.3606063e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005618145,0.009103377,0.6023918,0.00015118088,0.0008217533,0.000032439613,0.12303196,0.108209565,0.12511043,0.013579407,0.008069011,0.008937276],"study_design_scores_gemma":[0.00027342187,0.00019538331,0.9878756,0.000058596645,0.000019439729,1.1713068e-7,0.0018043462,0.00072717346,0.008424562,0.00047306938,0.000027479055,0.00012083925],"about_ca_topic_score_codex":0.8781023,"about_ca_topic_score_gemma":0.87402594,"teacher_disagreement_score":0.38548377,"about_ca_system_score_codex":0.00032137745,"about_ca_system_score_gemma":0.010093375,"threshold_uncertainty_score":0.9955185},"labels":[],"label_agreement":null},{"id":"W2990800085","doi":"10.32866/10802","title":"Quantifying the Bicycle Share Gender Gap","year":2019,"lang":"en","type":"article","venue":"Findings","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"TRIPS architecture; Quarter (Canadian coin); Gender gap; Transport engineering; Demographic economics; Business; Demography; Geography; Engineering; Economics; Sociology","score_opus":0.11786262793518912,"score_gpt":0.3483460540512534,"score_spread":0.2304834261160643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2990800085","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9325491,0.000083866275,0.000010177195,0.0008135582,0.00032555597,0.00016914612,0.0000066170373,0.00006159955,0.06598035],"genre_scores_gemma":[0.99553704,0.000004182252,0.000031720505,0.00025760444,0.00013102416,0.00000439505,0.000005586354,0.0000064907276,0.004021961],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991928,0.00003344198,0.000102693746,0.00017598769,0.00024693136,0.00024814656],"domain_scores_gemma":[0.9996595,0.0000668562,0.000033309192,0.0001672186,0.000028072225,0.00004506119],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004765861,0.000059842463,0.00007704694,0.000022569862,0.00042897873,0.000102179256,0.00033170212,0.000058600443,0.0042122016],"category_scores_gemma":[0.00003701502,0.000041331507,0.00006446018,0.00021665315,0.00008590664,0.00023712646,0.000021451071,0.000118593656,0.00070234545],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000028142488,0.000009555508,0.98445046,0.000009780348,0.0000045598604,7.675201e-7,0.00916062,6.1678435e-7,0.00018721266,0.004618018,0.0012884915,0.00026712255],"study_design_scores_gemma":[0.00009527518,0.000005008659,0.9367451,0.00001191893,0.0000071920385,7.4652846e-8,0.0028846834,0.000013562505,0.00015920545,0.0013645677,0.05861417,0.000099209916],"about_ca_topic_score_codex":0.0007581063,"about_ca_topic_score_gemma":0.00067630067,"teacher_disagreement_score":0.06298791,"about_ca_system_score_codex":0.00003109806,"about_ca_system_score_gemma":0.000051312265,"threshold_uncertainty_score":0.9966981},"labels":[],"label_agreement":null},{"id":"W2991007161","doi":"10.3917/turb.132.0030","title":"Vers une nouvelle organisation de la mobilité : une opportunité pour vivre mieux ?","year":2018,"lang":"fr","type":"article","venue":"Transports urbains","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministère des Transports","funders":"","keywords":"Political science; Humanities; Art","score_opus":0.022807363492721923,"score_gpt":0.28417879571187776,"score_spread":0.2613714322191558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2991007161","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9126925,0.00081591465,0.0025718187,0.012610275,0.0015428493,0.000572881,0.00018453077,0.00027346268,0.06873578],"genre_scores_gemma":[0.9516137,0.0003540803,0.0007530227,0.00061967183,0.0012717008,0.000019492005,0.00011829631,0.000076201584,0.0451738],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99617904,0.0003678326,0.0008083119,0.00085055357,0.00069053774,0.0011037282],"domain_scores_gemma":[0.9979824,0.00022123214,0.00026792166,0.0006279967,0.00023383742,0.00066661043],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014385561,0.0004952426,0.00052576326,0.00011887069,0.0010420157,0.000096846685,0.0006130438,0.0006986919,0.009653536],"category_scores_gemma":[0.000037067603,0.00053747534,0.00034152082,0.0014989846,0.0033099544,0.00067916757,0.000014244078,0.0005193198,0.00031757212],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000218946,0.001991991,0.71018195,0.00031330742,0.00019441331,0.0004032867,0.2336927,0.000046341625,0.0020174512,0.019907214,0.008373397,0.022659017],"study_design_scores_gemma":[0.0013527443,0.00025758872,0.6117791,0.00017819482,0.0004838047,0.000006810099,0.017649032,0.0001612648,0.001389198,0.011211874,0.35462993,0.0009004788],"about_ca_topic_score_codex":0.053749513,"about_ca_topic_score_gemma":0.062879525,"teacher_disagreement_score":0.34625652,"about_ca_system_score_codex":0.0005005065,"about_ca_system_score_gemma":0.0020275458,"threshold_uncertainty_score":0.9997077},"labels":[],"label_agreement":null},{"id":"W2991062790","doi":"10.5821/siiu.6622","title":"Measuring neighbourhood change in public space: a public life study in Poblenou, Barcelona","year":2019,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Neighbourhood (mathematics); Gentrification; Public space; Pedestrian; BELLA; Psychological intervention; Geography; Sociology; Psychology; Economic growth; Engineering; Economics; Mathematics","score_opus":0.13179940286184585,"score_gpt":0.31305468728250296,"score_spread":0.1812552844206571,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2991062790","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89382666,0.00014656407,0.000004003179,0.0060415836,0.0002179477,0.0012120764,0.0000014337813,0.0000998616,0.09844986],"genre_scores_gemma":[0.998664,0.00001520198,0.000025389547,0.00028235512,0.0001520505,0.00008024635,0.0000028455197,0.000014564957,0.00076330185],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99739987,0.00029009616,0.00037809912,0.0004994565,0.0006680833,0.00076440757],"domain_scores_gemma":[0.9991459,0.000076564196,0.00007400309,0.00033147214,0.000085789434,0.0002862338],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0024078914,0.00016066775,0.00030545375,0.00037793425,0.00014805603,0.0002656545,0.00055858656,0.00012483035,0.0053615444],"category_scores_gemma":[0.00020418067,0.00014729184,0.0000637705,0.0013897492,0.000073393196,0.0015940793,0.00007065974,0.0002948993,0.00015279652],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008436454,0.0007041694,0.9777891,0.000012835475,0.000007407589,0.000007342448,0.015548695,2.7793925e-7,0.000007386172,0.0038633668,0.000010665695,0.002040337],"study_design_scores_gemma":[0.00090748013,0.000047732938,0.9848448,0.000013302512,0.0000028676725,3.754645e-8,0.012852606,0.00003343115,0.0000033280976,0.00033819815,0.00076047,0.00019571527],"about_ca_topic_score_codex":0.055361405,"about_ca_topic_score_gemma":0.446971,"teacher_disagreement_score":0.39160958,"about_ca_system_score_codex":0.0002202209,"about_ca_system_score_gemma":0.00044006057,"threshold_uncertainty_score":0.9955477},"labels":[],"label_agreement":null},{"id":"W2991078329","doi":"10.1016/j.trpro.2019.09.061","title":"Understanding commuting behavior between partners","year":2019,"lang":"en","type":"article","venue":"Transportation research procedia","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Transport Canada","funders":"Deutsche Forschungsgemeinschaft","keywords":"Transport engineering; Travel behavior; Computer science; Engineering","score_opus":0.4414469137022179,"score_gpt":0.49877897041988883,"score_spread":0.05733205671767094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2991078329","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9813324,0.000028722521,0.00036489946,0.00054482615,0.00009781691,0.0009431559,0.000024784964,0.00022123702,0.01644214],"genre_scores_gemma":[0.9984986,0.000017692524,0.00014367957,0.000021849895,0.00015323602,0.00006553965,0.000092469854,0.000022702516,0.0009841955],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974224,0.00014684816,0.0003055735,0.00032487325,0.0011583262,0.0006419999],"domain_scores_gemma":[0.9990116,0.0002817569,0.00006361302,0.00018310746,0.00023522743,0.00022471814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023719135,0.00009991324,0.00016895913,0.0001620872,0.0007238319,0.00010269632,0.00035149485,0.00013569763,0.00058429706],"category_scores_gemma":[0.00005896235,0.00010239703,0.0000707395,0.0007894577,0.00038543207,0.00051684363,0.0000041385583,0.00048044193,0.00016099362],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001063366,0.000036552523,0.9719277,0.00005360937,0.000007813734,0.0000043274445,0.009778503,0.0000036682607,0.000076915734,0.017617514,0.00021255345,0.00027023582],"study_design_scores_gemma":[0.0003385452,0.000037758222,0.97990394,0.000039083607,0.000018540299,1.1772439e-8,0.013058114,0.0000052589053,0.00019468988,0.0029212842,0.0033347388,0.00014805637],"about_ca_topic_score_codex":0.0019367957,"about_ca_topic_score_gemma":0.008034008,"teacher_disagreement_score":0.017166218,"about_ca_system_score_codex":0.0002160051,"about_ca_system_score_gemma":0.00037839965,"threshold_uncertainty_score":0.63976425},"labels":[],"label_agreement":null},{"id":"W2991181919","doi":"10.1139/geomat-2019-0011","title":"Growing up, growing out: comparing spatial patterns of urban populations in Canada","year":2019,"lang":"en","type":"article","venue":"GEOMATICA","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Urban sprawl; Geography; Population density; Population; Census; Context (archaeology); Urban density; Economic geography; Land use; Population growth; Urban planning; Cartography; Demography; Ecology","score_opus":0.038308860241195106,"score_gpt":0.28230194276254134,"score_spread":0.24399308252134622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2991181919","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99402225,0.000015991249,0.00025354614,0.0002316788,0.0005924493,0.00018314345,0.0000084881685,0.000015778423,0.004676645],"genre_scores_gemma":[0.99958116,5.4418297e-7,0.000092658614,0.000051468,0.00006017593,0.0000036039999,0.000013455688,0.00000582518,0.0001910836],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99883634,0.000058568992,0.00035476408,0.00015251654,0.00032905288,0.00026875353],"domain_scores_gemma":[0.9995889,0.00006235224,0.00008846951,0.00016653733,0.000028122582,0.00006564042],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026793857,0.00007495524,0.00022130099,0.000046594236,0.000106231804,0.000020737236,0.00021173577,0.000034714674,0.0004677943],"category_scores_gemma":[0.00003738144,0.000077675344,0.0000438304,0.00011648819,0.000025873336,0.0003809392,0.000023139453,0.00009438014,0.000010383185],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000024185763,0.0000122082965,0.99436355,0.0000410899,0.0000041914623,0.0000015651044,0.0037439598,0.00007501007,0.00004019462,0.0013004444,0.000019115323,0.00039624894],"study_design_scores_gemma":[0.00019049483,0.0000036270478,0.9943123,0.00008556014,0.000008805906,3.0296135e-8,0.003747678,0.0008224078,0.00009425164,0.0004626772,0.00017457429,0.0000976165],"about_ca_topic_score_codex":0.9823513,"about_ca_topic_score_gemma":0.9950445,"teacher_disagreement_score":0.012693255,"about_ca_system_score_codex":0.00020416574,"about_ca_system_score_gemma":0.0003929552,"threshold_uncertainty_score":0.51220196},"labels":[],"label_agreement":null},{"id":"W2991309845","doi":"10.1016/j.procs.2019.09.450","title":"Determinants of Pro-Environmental Activity-Travel Behavior Using GPS-Based Application and SEM Approach","year":2019,"lang":"en","type":"article","venue":"Procedia Computer Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Acadia University","funders":"Natural Sciences and Engineering Research Council of Canada; European Commission; Acadia University","keywords":"Global Positioning System; Travel behavior; Computer science; Theory of planned behavior; Structural equation modeling; Intervention (counseling); Travel time; Simulation; Transport engineering; Control (management); Artificial intelligence; Psychology; Machine learning; Telecommunications","score_opus":0.024341711366118582,"score_gpt":0.2942990331544271,"score_spread":0.26995732178830856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2991309845","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9609808,0.000013747489,0.03811295,0.000009251712,0.0000928172,0.0006379393,0.000003973023,0.000020108677,0.00012842735],"genre_scores_gemma":[0.9851073,0.0000012423877,0.014791903,0.000018373876,0.000045039054,0.000019806947,9.749558e-7,0.000004516491,0.00001085697],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99868226,0.000020664907,0.0001436997,0.00044611024,0.000458165,0.00024909325],"domain_scores_gemma":[0.9995354,0.000022337525,0.000126311,0.00018038826,0.000035300043,0.00010027059],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057177426,0.00008932659,0.00014035618,0.00007031296,0.0002623195,0.000065589826,0.00037431804,0.000047492864,0.0000055152964],"category_scores_gemma":[0.0000051386683,0.00008384318,0.000026215122,0.00033621964,0.00083175075,0.0006274003,0.000056877652,0.00006954116,0.0000022086288],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005113848,0.00015613403,0.9594921,0.00003994545,4.924296e-7,2.2610278e-7,0.0012349708,0.000016664642,0.020511718,0.000032359832,2.1377738e-7,0.018510062],"study_design_scores_gemma":[0.00016247944,0.000033049822,0.8711637,0.000011790297,0.00000975402,6.2243583e-7,0.00009554534,0.116121836,0.012232303,0.000040115596,0.00000761237,0.00012117209],"about_ca_topic_score_codex":0.00017532113,"about_ca_topic_score_gemma":0.000024711759,"teacher_disagreement_score":0.11610517,"about_ca_system_score_codex":0.0000622565,"about_ca_system_score_gemma":0.00025496984,"threshold_uncertainty_score":0.34190255},"labels":[],"label_agreement":null},{"id":"W2991380985","doi":"10.1155/2019/8475937","title":"Modeling Influencing Factors for Passenger Flow Growth of Modern Trams Using System Dynamics Method","year":2019,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Economic shortage; Service (business); China; Transport engineering; Level of service; Service level; System dynamics; Flow (mathematics); Operations management; Operations research; Computer science; Engineering; Business; Geography; Mathematics; Marketing","score_opus":0.02462666658732669,"score_gpt":0.31828729674371503,"score_spread":0.2936606301563883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2991380985","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.581752,0.000057972742,0.41766176,0.000012279359,0.0002706003,0.00019482886,0.000022529535,0.000011128053,0.000016890053],"genre_scores_gemma":[0.91838586,0.000010176001,0.08148422,0.0000047216927,0.00007300731,0.0000015125277,0.000017681472,0.000016890284,0.0000059005624],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99829,0.000055539007,0.0008395211,0.00015915307,0.0004455333,0.00021027925],"domain_scores_gemma":[0.99841124,0.00013714435,0.0005939872,0.000088171575,0.000682641,0.000086788525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007668446,0.00012669052,0.00040400773,0.00012548322,0.00013500972,0.00001915585,0.00017053378,0.000112250564,0.0000056983718],"category_scores_gemma":[0.000034553923,0.00011368022,0.00026677654,0.00021908716,0.000028878469,0.0011278072,7.527426e-7,0.00015374263,9.586462e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017575857,0.000041294228,0.09080784,0.00038164918,0.000048821374,0.0000017174393,0.01818849,0.87883896,0.008352427,0.0010271127,8.988433e-8,0.002135815],"study_design_scores_gemma":[0.0018436126,0.00016525158,0.06743409,0.00064252876,0.0003739038,8.507008e-7,0.03637306,0.8840723,0.0030970129,0.00564339,0.0000056941567,0.00034829805],"about_ca_topic_score_codex":0.00029218727,"about_ca_topic_score_gemma":0.0010311487,"teacher_disagreement_score":0.33663386,"about_ca_system_score_codex":0.0002347677,"about_ca_system_score_gemma":0.00020152856,"threshold_uncertainty_score":0.46357447},"labels":[],"label_agreement":null},{"id":"W2991495810","doi":"10.1109/itsc.2019.8917009","title":"Efficient Task Assignment for Crowd-Powered Rebalancing in Bike Sharing Systems","year":2019,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Bike sharing; Computer science; Crowds; Task (project management); Truck; TRIPS architecture; Bipartite graph; Matching (statistics); Scheme (mathematics); Operations research; Quality of service; Real-time computing; Transport engineering; Computer network; Computer security; Engineering; Graph","score_opus":0.01976830684546561,"score_gpt":0.2944793622731624,"score_spread":0.2747110554276968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2991495810","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9524001,0.00012775953,0.0018067809,0.00012473304,0.00078717235,0.000978461,0.0000059759977,0.000072947936,0.043696083],"genre_scores_gemma":[0.994281,0.0000018538739,0.00008823971,0.000038771046,0.00008794934,0.000040590712,0.0000043798727,0.000007801331,0.005449408],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987003,0.00003076476,0.0002810461,0.00033720385,0.00028066392,0.00036999705],"domain_scores_gemma":[0.99953735,0.000083076346,0.00006570711,0.0001976363,0.00004112682,0.00007510194],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011774765,0.00008615412,0.00018027582,0.00005807911,0.0001380406,0.000104830135,0.0002482985,0.00007717661,0.00021255098],"category_scores_gemma":[0.00003334646,0.00007419291,0.00006214295,0.00020029565,0.000037387555,0.00008311787,0.000021476113,0.00006969815,0.000037433103],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028696955,0.00010986047,0.98407364,0.000098067736,0.000008748212,0.0000017631804,0.004110017,0.0024698863,0.0012131496,0.0074510337,0.00013437383,0.00030078212],"study_design_scores_gemma":[0.007261069,0.00027962046,0.7723639,0.00090410304,0.00006744203,4.456586e-7,0.040296175,0.095201686,0.0014436569,0.0023594333,0.07792541,0.0018970799],"about_ca_topic_score_codex":0.0048553934,"about_ca_topic_score_gemma":0.002252621,"teacher_disagreement_score":0.21170974,"about_ca_system_score_codex":0.00022007803,"about_ca_system_score_gemma":0.00008023886,"threshold_uncertainty_score":0.7339935},"labels":[],"label_agreement":null},{"id":"W2991587618","doi":"10.1289/isee.2016.4145","title":"Factors Influencing Commuting Mode Choice: A Multilevel Analysis","year":2016,"lang":"en","type":"article","venue":"ISEE Conference Abstracts","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Socioeconomic status; Multilevel model; Odds; Mode choice; Sustainable transport; Travel survey; Travel behavior; Public transport; Climate change; Data collection; Mode (computer interface); Affect (linguistics); Cycling; Demographic economics; Geography; Psychology; Environmental health; Transport engineering; Economics; Statistics; Sustainability; Medicine; Logistic regression; Mathematics; Engineering; Computer science; Ecology; Population","score_opus":0.09434840651283741,"score_gpt":0.3618804978550807,"score_spread":0.2675320913422433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2991587618","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9882838,0.000021043426,0.000984896,0.00039164315,0.00011719698,0.0001487873,0.000039360883,0.00015497596,0.009858264],"genre_scores_gemma":[0.99897397,0.000011110297,0.00008547626,0.00006223065,0.000097972836,0.0000071057048,0.000009797417,0.000009341724,0.0007429758],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99810165,0.000090234214,0.00043246747,0.0003849318,0.0004509432,0.00053979014],"domain_scores_gemma":[0.9983308,0.0005563465,0.0002436128,0.00036599897,0.00023966147,0.00026359138],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004925355,0.00018984394,0.00031990587,0.00015528186,0.0005170986,0.000158738,0.0005561331,0.00016011589,0.00089301],"category_scores_gemma":[0.0005703819,0.0001304684,0.00019023979,0.00040949506,0.0003243541,0.000838716,0.00003527589,0.00016666614,0.00004769018],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005194858,0.000056426023,0.98078924,0.000007738615,0.0001120512,0.000003162287,0.009043446,0.00035304256,0.0019309056,0.00043489368,0.00002339734,0.0072405087],"study_design_scores_gemma":[0.00019342684,0.00000616325,0.9951671,0.00004618358,0.00012482754,1.5084355e-8,0.001616967,0.000029355957,0.0008869203,0.0007215527,0.0009837863,0.0002237397],"about_ca_topic_score_codex":0.018179368,"about_ca_topic_score_gemma":0.038290773,"teacher_disagreement_score":0.020111404,"about_ca_system_score_codex":0.0001236183,"about_ca_system_score_gemma":0.0003241792,"threshold_uncertainty_score":0.9883587},"labels":[],"label_agreement":null},{"id":"W2991591568","doi":"10.1289/isee.2015.2015-3619","title":"Safe Routes To Play? Pedestrian And Bicyclist Crashes Near Parks In The Los Angeles Region","year":2015,"lang":"en","type":"article","venue":"ISEE Conference Abstracts","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Pedestrian; Geography; Metropolitan area; Crash; Transport engineering; Quarter (Canadian coin); Mile; Poison control; Traffic calming; Environmental health; Medicine; Engineering; Computer science","score_opus":0.08712706844827778,"score_gpt":0.3271768836313529,"score_spread":0.2400498151830751,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2991591568","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9578404,0.00015750906,0.000018533696,0.004079922,0.000111216475,0.00033258533,0.000014546475,0.00003420031,0.03741109],"genre_scores_gemma":[0.9991002,0.00003016084,0.000083160754,0.00035405112,0.00015617542,0.00001699321,0.000009082701,0.0000059509102,0.0002442128],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986313,0.00013228047,0.00026448123,0.00029439395,0.00034479072,0.00033278365],"domain_scores_gemma":[0.99913996,0.0002016951,0.000088018314,0.00022717516,0.00009942847,0.00024370734],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089382986,0.00013190325,0.00017331132,0.00004626864,0.00025781288,0.0004756227,0.0004144644,0.0001172476,0.000038657094],"category_scores_gemma":[0.0004037319,0.000098600714,0.000030446392,0.00023427278,0.0003688971,0.00048854796,0.000022102415,0.00018748413,0.000019198249],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011038562,0.0002093521,0.91999406,0.000030461879,0.00000970803,0.00012346868,0.052734554,0.0001724179,0.000058709727,0.0021526995,0.008089806,0.01631435],"study_design_scores_gemma":[0.00022759035,0.00003298983,0.9646985,0.000044426437,0.000009163776,7.678782e-7,0.0071285935,0.0000038399153,0.00003348247,0.003074676,0.024600606,0.00014538753],"about_ca_topic_score_codex":0.016189562,"about_ca_topic_score_gemma":0.14362364,"teacher_disagreement_score":0.12743407,"about_ca_system_score_codex":0.000039120026,"about_ca_system_score_gemma":0.0004069699,"threshold_uncertainty_score":0.9903617},"labels":[],"label_agreement":null},{"id":"W2991860288","doi":"10.2148/benv.45.4.544","title":"Women's Changing Commutes: The Work Trips of Single Mothers in the New York Region, 2000–2010","year":2019,"lang":"en","type":"article","venue":"Built Environment","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"TRIPS architecture; Metropolitan area; Gentrification; Spatial mismatch; Geography; Microdata (statistics); Demographic economics; Journey to work; Public transport; Earnings; Transit (satellite); Socioeconomic status; Urban sprawl; Destinations; Single mothers; Census; Economic growth; Business; Population; Demography; Transport engineering; Economics; Urban planning; Sociology; Psychology; Engineering","score_opus":0.037696453064825004,"score_gpt":0.23499434166007915,"score_spread":0.19729788859525416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2991860288","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.990253,0.0005772456,0.00010920656,0.0046708263,0.00014164942,0.000477485,0.000001189718,0.000012401147,0.0037570002],"genre_scores_gemma":[0.9927914,0.000047880465,0.000054882228,0.00047963884,0.00009719737,0.000020367062,0.0000014328843,0.00000830434,0.0064989035],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987557,0.00017103409,0.00020449095,0.00017314921,0.0003568928,0.00033876544],"domain_scores_gemma":[0.99920595,0.00014626965,0.00011097302,0.00048558085,0.0000026074665,0.000048606358],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009769843,0.00009540526,0.00013908293,0.0000358579,0.00016777834,0.000030197667,0.0006248619,0.000062581654,0.0007313432],"category_scores_gemma":[0.000013046235,0.000058519232,0.00006345018,0.00029905493,0.00024745014,0.00007849053,0.00003045861,0.00011320357,0.000050795894],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060965427,0.00038109074,0.6607259,0.000014213743,0.000023835415,0.0000028443608,0.32167292,0.00030107817,0.00028195648,0.00047041362,0.003697225,0.012367574],"study_design_scores_gemma":[0.0007360573,0.00009406432,0.48935682,0.00007231423,0.000022185448,2.3505919e-7,0.087024435,0.000009349922,0.00021209067,0.0025499442,0.41965643,0.00026608814],"about_ca_topic_score_codex":0.0011191526,"about_ca_topic_score_gemma":0.0002978774,"teacher_disagreement_score":0.4159592,"about_ca_system_score_codex":0.00018056556,"about_ca_system_score_gemma":0.00004600018,"threshold_uncertainty_score":0.80076957},"labels":[],"label_agreement":null},{"id":"W2992268601","doi":"","title":"Smart eco-path finder for mobile GIS users","year":2013,"lang":"en","type":"article","venue":"Journal of the Urban and Regional Information Systems Association","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Walkability; Signage; Destinations; Built environment; Computer science; Transport engineering; Quality (philosophy); Geography; Business; Engineering; Advertising; Civil engineering","score_opus":0.01705900777755371,"score_gpt":0.25382545107298377,"score_spread":0.23676644329543006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2992268601","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98586947,0.00038968044,0.0005607891,0.0065781777,0.002052035,0.0011614569,0.000024649595,0.000020812711,0.003342915],"genre_scores_gemma":[0.9957842,0.000031494157,0.000053596268,0.00034126802,0.00040329018,0.000025691857,0.0000070392744,0.0000030841563,0.0033502926],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986836,0.00009047088,0.0005297497,0.00004217306,0.00051203545,0.00014200681],"domain_scores_gemma":[0.9978231,0.00015777763,0.001193702,0.00006284037,0.00069102575,0.00007152377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013598802,0.00006541992,0.00015153448,0.00006392003,0.00040748133,0.0002441894,0.0001543208,0.00012224192,0.000020047351],"category_scores_gemma":[0.00014739484,0.000042142587,0.00014108833,0.0001232047,0.000045258857,0.00196525,0.000007670161,0.000109675006,0.000009700763],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032052165,0.000050413968,0.64626026,0.00009497275,0.00013709844,8.5251955e-8,0.02518652,0.0002632138,0.000025683388,0.0040446725,0.32312575,0.0007792705],"study_design_scores_gemma":[0.0006337708,0.00004632885,0.31958348,0.000078915415,0.000040129496,0.000001240527,0.0063326904,0.0005152611,0.000008126093,0.000540604,0.672111,0.00010846131],"about_ca_topic_score_codex":0.00056772516,"about_ca_topic_score_gemma":0.000039865714,"teacher_disagreement_score":0.34898525,"about_ca_system_score_codex":0.00030609066,"about_ca_system_score_gemma":0.00014407809,"threshold_uncertainty_score":0.3134058},"labels":[],"label_agreement":null},{"id":"W2992550479","doi":"10.1016/j.neucli.2019.10.048","title":"Favoriser l’utilisation du transport en commun grâce à une formation offerte à des personnes ayant des limitations motrices","year":2019,"lang":"fr","type":"article","venue":"Neurophysiologie Clinique","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Centre for Interdisciplinary Research in Rehabilitation","funders":"","keywords":"Humanities; Art","score_opus":0.08914555080050618,"score_gpt":0.3094350924359351,"score_spread":0.2202895416354289,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2992550479","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9890183,0.0006415024,0.0009647738,0.0026711065,0.0016388559,0.0008708054,0.00008018529,0.00025143623,0.0038629991],"genre_scores_gemma":[0.98863065,0.0077822036,0.0011931988,0.0004692719,0.000442324,0.00004747342,0.00014477492,0.000036883983,0.001253203],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99646395,0.0011446277,0.00082724995,0.00058977294,0.0003461241,0.0006282661],"domain_scores_gemma":[0.9970408,0.0015338181,0.000396348,0.00048549214,0.00037865934,0.00016487903],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007741651,0.00038176792,0.0005246361,0.0001053373,0.000924245,0.00008117464,0.0006847857,0.00034410047,0.00030894813],"category_scores_gemma":[0.0003501092,0.00035324774,0.00037146208,0.0009694263,0.0015737017,0.0021924942,0.000044179968,0.0005647413,0.00032563662],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00063589955,0.0019421839,0.78570527,0.0013528225,0.00012551923,0.000047750527,0.1303018,0.0018357134,0.020218078,0.0046382607,0.0003024987,0.052894235],"study_design_scores_gemma":[0.0005343388,0.00073652423,0.9698488,0.00017313773,0.00012942716,0.0000013421807,0.0068719215,0.0014216633,0.0007850836,0.015086778,0.0039938972,0.00041705422],"about_ca_topic_score_codex":0.0058791726,"about_ca_topic_score_gemma":0.004698993,"teacher_disagreement_score":0.18414359,"about_ca_system_score_codex":0.00017180899,"about_ca_system_score_gemma":0.00019498031,"threshold_uncertainty_score":0.99989194},"labels":[],"label_agreement":null},{"id":"W2992996386","doi":"10.1016/j.neucli.2019.10.140","title":"Gaze behavior of healthy young individuals navigating in a community environment","year":2019,"lang":"en","type":"article","venue":"Neurophysiologie Clinique","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Jewish Rehabilitation Hospital","funders":"","keywords":"Gaze; Looming; Physical medicine and rehabilitation; Psychology; Kinematics; Obstacle; Fixation (population genetics); Eye tracking; Cognitive psychology; Computer science; Medicine; Computer vision; Geography","score_opus":0.057230213963445214,"score_gpt":0.3694634347269977,"score_spread":0.31223322076355253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2992996386","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99817425,0.000024425863,0.0000029775872,0.00013379996,0.00020640696,0.0006073082,0.000019360721,0.000046662153,0.0007848109],"genre_scores_gemma":[0.99924195,0.00013882213,0.000244423,0.00024114069,0.000037356127,0.00003802294,0.000014924296,0.000010069374,0.000033270626],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99755406,0.0011889915,0.00049899326,0.00024452814,0.0002152573,0.00029814852],"domain_scores_gemma":[0.99876225,0.0004960863,0.00024006711,0.00040974887,0.000024688605,0.00006717727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011305925,0.00011396939,0.00031236734,0.000029403693,0.00016702559,0.000012035024,0.00046826998,0.000118446806,0.00015393387],"category_scores_gemma":[0.00015841261,0.000108032036,0.000091666596,0.00016748215,0.00032811993,0.0001443548,0.00009252091,0.00083483174,0.000029808936],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025496642,0.00039481593,0.9878249,0.000032648917,0.0000019506804,0.0000036525466,0.0027636304,0.000016000651,0.007512674,0.000049428752,0.000003534395,0.0013712684],"study_design_scores_gemma":[0.0002445097,0.0003082552,0.99683553,0.00004174482,0.000005612363,6.5340984e-8,0.0008965432,0.0000040108894,0.000721277,0.0007459025,0.00009518903,0.00010136138],"about_ca_topic_score_codex":0.0041920156,"about_ca_topic_score_gemma":0.00041616595,"teacher_disagreement_score":0.00901063,"about_ca_system_score_codex":0.000055338034,"about_ca_system_score_gemma":0.00011903612,"threshold_uncertainty_score":0.63371015},"labels":[],"label_agreement":null},{"id":"W2993704130","doi":"10.1016/j.neucli.2019.10.033","title":"Obstacles et facilitateurs environnementaux à la mobilité d’utilisateurs d’aides techniques à la mobilité","year":2019,"lang":"fr","type":"article","venue":"Neurophysiologie Clinique","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; GF Strong Rehabilitation Centre; Université Laval; Centre for Interdisciplinary Research in Rehabilitation; University of British Columbia; Centre intégré universitaire de santé et de services sociaux de la Capitale-Nationale","funders":"","keywords":"Political science; Humanities; Art","score_opus":0.03928459098384733,"score_gpt":0.3302966856709616,"score_spread":0.29101209468711425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2993704130","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97084546,0.0014443054,0.000038257145,0.0026145393,0.0016871797,0.0018208086,0.00032528062,0.00074198697,0.020482153],"genre_scores_gemma":[0.98205566,0.00647214,0.0009244668,0.0016212042,0.00026690657,0.00018442661,0.00007511245,0.00009542269,0.008304632],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9901996,0.0047783633,0.0013139325,0.0019128144,0.0006045571,0.0011907073],"domain_scores_gemma":[0.99326074,0.004385411,0.0004658911,0.0013754475,0.00016069206,0.00035180085],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0025223114,0.00082270533,0.0010738886,0.00012740614,0.00036021398,0.00019169576,0.0014022461,0.0008482076,0.0014228186],"category_scores_gemma":[0.0006721328,0.0007719222,0.00074082636,0.00061313127,0.0041138157,0.0010614494,0.0003350931,0.0015781893,0.000633073],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008995205,0.0055160816,0.7059975,0.0017705173,0.00026936288,0.00043823928,0.011448788,0.00036615148,0.10834974,0.028568637,0.0028349196,0.1335405],"study_design_scores_gemma":[0.0008074187,0.0018225543,0.56377447,0.00033477115,0.0001353443,0.0000045000793,0.004444682,0.00008062408,0.011370652,0.034937546,0.3807918,0.0014956207],"about_ca_topic_score_codex":0.0023665002,"about_ca_topic_score_gemma":0.0002688785,"teacher_disagreement_score":0.3779569,"about_ca_system_score_codex":0.00017277658,"about_ca_system_score_gemma":0.0005082082,"threshold_uncertainty_score":0.99949},"labels":[],"label_agreement":null},{"id":"W2994179811","doi":"10.14288/hfjc.v3i1.50","title":"Health Related Quality of Life of Off-Road Vehicle Riders","year":2010,"lang":"en","type":"article","venue":"Open Collections","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"York University","funders":"","keywords":"Recreation; Quality of life (healthcare); Mental health; Psychology; Population; Gerontology; Physical activity; Environmental health; Medicine; Physical therapy; Psychiatry","score_opus":0.05710347244277027,"score_gpt":0.3727685419793162,"score_spread":0.31566506953654594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2994179811","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75179493,0.0000411908,0.0000060842926,0.0016830044,0.0003127538,0.0004012701,0.000037982736,0.000022469623,0.24570031],"genre_scores_gemma":[0.96620667,0.00001784835,0.00017159259,0.000050177663,0.00002336227,0.000011291636,0.000004232973,0.000004220983,0.03351062],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987903,0.00019286209,0.000500541,0.00015667621,0.00020300118,0.00015656622],"domain_scores_gemma":[0.99910223,0.00010664116,0.0002890923,0.00021816707,0.00015394612,0.00012990675],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001517231,0.00005128813,0.00026219213,0.00003285588,0.0015390354,0.00009067663,0.000347439,0.000078686775,0.00166231],"category_scores_gemma":[0.00039188986,0.00005157772,0.00007299758,0.0011117527,0.0003346226,0.00024230705,0.000031139232,0.00017418392,0.0000026836506],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036160508,0.002244394,0.7460143,0.00014166126,0.00021754894,8.123828e-7,0.025931306,0.00001966364,0.002254276,0.009924708,0.18983282,0.023056941],"study_design_scores_gemma":[0.0012586992,0.00010750885,0.96013427,0.000026247946,0.000021790971,1.2803288e-7,0.005123079,0.000058366433,0.0003913447,0.0055940626,0.027073255,0.0002112771],"about_ca_topic_score_codex":0.54470617,"about_ca_topic_score_gemma":0.47597328,"teacher_disagreement_score":0.21441172,"about_ca_system_score_codex":0.000033724486,"about_ca_system_score_gemma":0.0012592098,"threshold_uncertainty_score":0.9997608},"labels":[],"label_agreement":null},{"id":"W2994264213","doi":"10.5198/jtlu.2019.1624","title":"A joint model of place of residence (POR) and place of work (POW): Making use of Gibbs sampling technique to overcome arbitrary assumptions in contexts of data limitation","year":2019,"lang":"en","type":"article","venue":"Journal of Transport and Land Use","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Trip distribution; Residence; Econometrics; Computer science; Replicate; Gibbs sampling; Joint probability distribution; Sampling (signal processing); Modal; Travel behavior; Entropy (arrow of time); Aggregate (composite); Operations research; Economics; Statistics; Mathematics; Engineering; Transport engineering; Artificial intelligence; Bayesian probability","score_opus":0.16614849829033299,"score_gpt":0.35256956634614733,"score_spread":0.18642106805581435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2994264213","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99464744,0.00035579433,0.004379506,0.000094032126,0.000024366003,0.00029558525,0.00017339528,0.0000028776913,0.000026985525],"genre_scores_gemma":[0.98496395,0.00029994207,0.014666566,0.000010876013,0.000011156326,0.0000010254716,0.000008304359,0.0000065061813,0.000031646818],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99831957,0.000056005356,0.0009897667,0.00015714862,0.00035418075,0.00012332505],"domain_scores_gemma":[0.99844885,0.00030048485,0.0007678439,0.00021571231,0.00020029751,0.00006678622],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001295985,0.00009737927,0.00054030376,0.0002119067,0.000028243749,0.0000096917165,0.0002068375,0.000105238774,0.000012353486],"category_scores_gemma":[0.000084179104,0.00008285615,0.00007655777,0.0002675077,0.0001518306,0.0011720174,0.000016761553,0.00017679516,2.6237759e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007317007,0.00014575895,0.98225284,0.00033595844,0.000030437315,0.0000026534576,0.005737861,0.0019814677,0.008485177,0.00013272332,0.000008008448,0.0001554433],"study_design_scores_gemma":[0.0006565724,0.00012963034,0.99465364,0.0019686755,0.00008281667,0.000001081468,0.00038413674,0.00024695141,0.0012491785,0.0004900378,0.000040148658,0.0000971047],"about_ca_topic_score_codex":0.0009614256,"about_ca_topic_score_gemma":0.0030704413,"teacher_disagreement_score":0.012400855,"about_ca_system_score_codex":0.000015531408,"about_ca_system_score_gemma":0.00020285258,"threshold_uncertainty_score":0.33787757},"labels":[],"label_agreement":null},{"id":"W2995187778","doi":"10.1080/17461391.2019.1707879","title":"Integrating perceptions of the school neighbourhood environment with constructs from the theory of planned behaviour when predicting transport‐related cycling among Chinese college students","year":2019,"lang":"en","type":"article","venue":"European Journal of Sport Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Canadian Institutes of Health Research; Hong Kong Baptist University; Social Sciences and Humanities Research Council of Canada; Heart and Stroke Foundation of Canada; Canadian Cancer Society","keywords":"Theory of planned behavior; Cycling; Psychology; Neighbourhood (mathematics); Moderation; Perception; Structural equation modeling; Social psychology; Applied psychology; Developmental psychology; Control (management); Geography; Mathematics; Computer science","score_opus":0.006519101932390093,"score_gpt":0.2327605238559109,"score_spread":0.2262414219235208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2995187778","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956951,0.000056081248,0.000080881284,0.00008748382,0.00027719955,0.00032937646,0.00003402542,0.000009241748,0.0034305865],"genre_scores_gemma":[0.99928313,0.000012667594,0.00047360233,0.00001915357,0.00007014765,4.9544457e-7,0.0000013351422,0.0000122664915,0.00012717138],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969913,0.00018977346,0.0008839661,0.00024447523,0.0014345038,0.000256026],"domain_scores_gemma":[0.9979649,0.000092007656,0.0012711602,0.00033559182,0.00017504385,0.00016128962],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005511641,0.00014860992,0.00029573627,0.000072513285,0.0006077402,0.000047710382,0.0018118604,0.000029136228,0.0005871804],"category_scores_gemma":[0.00009549658,0.00007552749,0.00014695765,0.00049643824,0.0022345565,0.0006781953,0.00006892701,0.0004956656,0.0000029564137],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000062438,0.00008538477,0.9816378,0.0000035063658,0.000027347998,0.000014435108,0.016644722,0.00017463484,0.0010611832,0.00013037489,0.0000011985635,0.00015697404],"study_design_scores_gemma":[0.0005460697,0.00010467051,0.9691186,0.00033906728,0.00008189385,0.0000033507538,0.029428342,0.000015872109,0.000113078466,0.00015778316,0.000005170841,0.00008613274],"about_ca_topic_score_codex":0.00030477822,"about_ca_topic_score_gemma":0.00020934532,"teacher_disagreement_score":0.012783621,"about_ca_system_score_codex":0.00006654989,"about_ca_system_score_gemma":0.00038203393,"threshold_uncertainty_score":0.82333165},"labels":[],"label_agreement":null},{"id":"W2995243417","doi":"10.5555/1480-6800.22.1.1","title":"Assessing the Land Use Distribution of the Mass Rapid Transit Pedestrian Catchment Area (PCA) and its Geographical Context in the Kuala Lumpur Conurbation, Malaysia","year":2019,"lang":"en","type":"article","venue":"Arab world geographer","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Conurbation; Kuala lumpur; Geography; Context (archaeology); Catchment area; Land use; Pedestrian; Distribution (mathematics); Transit (satellite); Transport engineering; Drainage basin; Civil engineering; Cartography; Business; Public transport; Engineering; Archaeology; Mathematics","score_opus":0.023800054301339874,"score_gpt":0.27733767038303153,"score_spread":0.2535376160816917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2995243417","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99133855,0.0007464464,0.000041679672,0.0055677104,0.0002023517,0.00086878816,0.000031962663,0.000018172606,0.0011843139],"genre_scores_gemma":[0.9992922,0.000091284426,0.0000046130863,0.0002895348,0.00004547755,0.000027700784,0.000027998027,0.00000652649,0.0002146619],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979829,0.0005664794,0.00035603106,0.00029127582,0.00048411154,0.0003191897],"domain_scores_gemma":[0.9988794,0.00044836433,0.00016929806,0.00033823628,0.00010938962,0.00005536209],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015035957,0.00015176712,0.00020850817,0.00005868987,0.00044906337,0.0002730313,0.00042465088,0.00008457,0.00018795692],"category_scores_gemma":[0.000049645856,0.00008089503,0.00016610141,0.0012217916,0.0005095645,0.00046844422,0.000017636665,0.0003019187,0.0000024519716],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001880126,0.00006966167,0.99505836,0.000013863246,0.000023787168,8.1791256e-7,0.0019128801,0.000018030321,0.000026281232,0.0018145194,0.00011413778,0.0009288891],"study_design_scores_gemma":[0.0005016344,0.00001528624,0.99174416,0.00005347567,0.00005879794,2.8899092e-7,0.0022019604,0.00012198025,0.000033892076,0.0010235748,0.0041314093,0.000113555296],"about_ca_topic_score_codex":0.0031611589,"about_ca_topic_score_gemma":0.012915019,"teacher_disagreement_score":0.00975386,"about_ca_system_score_codex":0.000017915587,"about_ca_system_score_gemma":0.00006562483,"threshold_uncertainty_score":0.72068834},"labels":[],"label_agreement":null},{"id":"W2995595602","doi":"10.1109/tase.2019.2950964","title":"Multiobjective Bike Repositioning in Bike-Sharing Systems via a Modified Artificial Bee Colony Algorithm","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Automation Science and Engineering","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Bike sharing; Multi-objective optimization; Computer science; Convergence (economics); Scalability; Economic shortage; Weighting; Metric (unit); Mathematical optimization; Engineering; Transport engineering; Machine learning; Mathematics; Operations management","score_opus":0.01667686201429413,"score_gpt":0.270597839902074,"score_spread":0.25392097788777984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2995595602","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6280938,0.00001199399,0.3704559,0.000048373207,0.0005845782,0.00031367654,0.000003958647,0.000161169,0.00032660607],"genre_scores_gemma":[0.99885845,0.0000060215402,0.00093025307,0.000015995902,0.000039965427,0.000051633702,8.6321575e-7,0.000008380672,0.00008843162],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984294,0.000024109151,0.00030829376,0.00039472032,0.00051958807,0.00032388416],"domain_scores_gemma":[0.99949336,0.000071802635,0.00006592957,0.00012965748,0.00013469596,0.00010452781],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011481468,0.00011438661,0.00015716086,0.00047794834,0.0005339168,0.00027930722,0.00017247057,0.000084254396,0.000017534634],"category_scores_gemma":[0.000019484321,0.00012384942,0.000035617522,0.0013104718,0.00014064788,0.0012179002,0.0000016572094,0.00018707986,0.000015016523],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030412704,0.00021187379,0.0024691143,0.00010595568,0.000022691374,0.000009823969,0.019108728,0.8364394,0.09518454,0.0012036107,0.000002594466,0.045211263],"study_design_scores_gemma":[0.00020822787,0.00002816297,0.013714136,0.00009385672,0.000007934551,0.0000014643217,0.0009818833,0.9802414,0.004459045,0.00005891548,0.000026135542,0.00017879391],"about_ca_topic_score_codex":0.0017702063,"about_ca_topic_score_gemma":0.00029386012,"teacher_disagreement_score":0.3707647,"about_ca_system_score_codex":0.00032788733,"about_ca_system_score_gemma":0.00013259012,"threshold_uncertainty_score":0.50504327},"labels":[],"label_agreement":null},{"id":"W2995636541","doi":"10.1080/09593985.2019.1700579","title":"The clinical experiences of Nigerian physiotherapists in managing environmental and socioeconomic determinants of mobility for older adults","year":2019,"lang":"en","type":"article","venue":"Physiotherapy Theory and Practice","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; University of Manitoba","funders":"","keywords":"Socioeconomic status; Documentation; Intervention (counseling); Medicine; Identification (biology); Qualitative research; Developing country; Gerontology; Nursing; Environmental health; Population; Sociology; Economic growth","score_opus":0.012580574683732026,"score_gpt":0.37169081862712816,"score_spread":0.35911024394339613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2995636541","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99770486,0.0012811166,0.000015501466,0.00011670753,0.000120979275,0.0005365539,0.0000056489152,0.000004313493,0.000214327],"genre_scores_gemma":[0.9980835,0.0015783939,0.00007512509,0.000110098146,0.000043658707,0.000028795675,6.0903585e-7,0.0000067078313,0.00007314571],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985278,0.0006689579,0.00032661884,0.00024401068,0.00008668149,0.00014587876],"domain_scores_gemma":[0.99572146,0.0037857785,0.00028191428,0.00016455965,0.0000129366845,0.00003337385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033776478,0.000082933926,0.00022066782,0.000014234708,0.00016971826,0.000022417744,0.00014818876,0.000054011532,0.000101820704],"category_scores_gemma":[0.0000687115,0.000062039006,0.000061666906,0.000027706341,0.00079347263,0.00044746368,0.000013252728,0.000067861285,7.316306e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00895106,0.00077940605,0.49951318,0.00029839572,0.000069446425,3.769885e-7,0.3226212,9.876924e-7,0.002847116,0.0030827324,0.000004833261,0.16183126],"study_design_scores_gemma":[0.002162629,0.00027034368,0.6972136,0.00009311247,0.000013879354,2.673509e-7,0.27676845,0.000076873774,0.0013426432,0.020998755,0.0008442421,0.00021520337],"about_ca_topic_score_codex":0.0001776192,"about_ca_topic_score_gemma":0.00015337336,"teacher_disagreement_score":0.19770043,"about_ca_system_score_codex":0.00001333312,"about_ca_system_score_gemma":0.000035849847,"threshold_uncertainty_score":0.29235828},"labels":[],"label_agreement":null},{"id":"W2995653867","doi":"10.1080/01490400.2019.1700573","title":"Parental perceptions of a national program that funds sport participation for low-income children and youth in Canada","year":2019,"lang":"en","type":"article","venue":"Leisure Sciences","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Thematic analysis; Subsidy; Recreation; Perception; Youth participation; Public relations; Psychology; Qualitative research; Political science; Sociology","score_opus":0.026802797427177418,"score_gpt":0.32356936535131303,"score_spread":0.29676656792413564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2995653867","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981167,0.00002624773,0.000003641278,0.00013616483,0.00011734387,0.0005820196,0.000083851155,0.000012284845,0.00092179136],"genre_scores_gemma":[0.999726,0.0000030615506,0.00012415077,0.000011650389,0.00003386161,0.000024494035,0.000034106193,0.0000019459126,0.000040706705],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99890876,0.000019410973,0.00016285693,0.00021142753,0.00049108797,0.00020648586],"domain_scores_gemma":[0.99973214,0.000030577805,0.00007858824,0.000047491103,0.000056718374,0.000054487944],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006222506,0.00005681037,0.00012039218,0.000048952432,0.00019046408,0.00003816977,0.00016096247,0.000030502719,0.000065966124],"category_scores_gemma":[0.000016072456,0.000048088463,0.000027130567,0.0003051448,0.00031121154,0.0003228585,0.0000098051905,0.000040871117,5.672451e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000051459724,0.00004176413,0.9962215,0.000008934045,0.0000020245436,4.2846406e-8,0.0024016986,0.000026406826,0.0000044549865,0.0005048311,0.000003798872,0.00077940535],"study_design_scores_gemma":[0.0001518236,0.000036588415,0.994415,0.00001814694,0.000005156395,3.6545824e-8,0.004902043,0.00010506621,0.000018250046,0.0002672438,0.000014605937,0.000066056375],"about_ca_topic_score_codex":0.6167252,"about_ca_topic_score_gemma":0.95978874,"teacher_disagreement_score":0.34306353,"about_ca_system_score_codex":0.00009257213,"about_ca_system_score_gemma":0.0010924293,"threshold_uncertainty_score":0.38582703},"labels":[],"label_agreement":null},{"id":"W2996481870","doi":"10.1016/j.healthplace.2019.102277","title":"Evidence for urban design and public health policy and practice: Space syntax metrics and neighborhood walking","year":2019,"lang":"en","type":"article","venue":"Health & Place","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":58,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Canadian Institutes of Health Research; Ministry of Education, Culture, Sports, Science and Technology","keywords":"Space syntax; Walkability; Urban design; Syntax; Space (punctuation); Public space; Street network; Unit (ring theory); Geography; Built environment; Transport engineering; Urban planning; Computer science; Architectural engineering; Psychology; Civil engineering; Engineering; Artificial intelligence","score_opus":0.14977540669712214,"score_gpt":0.4282147821305977,"score_spread":0.2784393754334756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996481870","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25617832,0.11274387,0.041895833,0.57866025,0.00063214696,0.007385331,0.00004400113,0.00028290195,0.0021773772],"genre_scores_gemma":[0.97750074,0.0075252317,0.009877078,0.004347379,0.00024067951,0.000026219246,0.0000030412705,0.000017238795,0.00046240116],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99723846,0.00076238345,0.00033801893,0.00051944476,0.00036294182,0.0007787466],"domain_scores_gemma":[0.99297124,0.0056384215,0.00036855385,0.00020324702,0.00012945184,0.00068910234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0076333587,0.00015585874,0.00034459343,0.00017824472,0.00090063695,0.00028637756,0.00014395759,0.00010637491,0.000013087983],"category_scores_gemma":[0.0052573583,0.0001496368,0.000025200654,0.00069165276,0.0001771517,0.0012960695,0.00004009803,0.0001939016,0.0000024329229],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050451345,0.00024204838,0.7031295,0.0023934897,0.000051247032,0.0000037302693,0.06960423,0.0000028694126,0.000021144495,0.08166777,0.009098714,0.13328074],"study_design_scores_gemma":[0.0046968954,0.003255227,0.38153657,0.0014346577,0.00010496471,0.00003838651,0.0490698,0.0029597147,0.00001843835,0.0076006805,0.54766744,0.0016171878],"about_ca_topic_score_codex":0.013655628,"about_ca_topic_score_gemma":0.0020185283,"teacher_disagreement_score":0.7213224,"about_ca_system_score_codex":0.00036401488,"about_ca_system_score_gemma":0.0028763418,"threshold_uncertainty_score":0.99291253},"labels":[],"label_agreement":null},{"id":"W2996662412","doi":"10.1016/j.jth.2019.100788","title":"Socio-demographic patterns of public, private and active travel in Latin America: Cross-sectional findings from the ELANS study","year":2019,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Children's Hospital of Eastern Ontario","funders":"Universidad Central de Venezuela; Pontificia Universidad Católica de Chile; Consejo de Desarrollo Científico y Humanístico, Universidad Central de Venezuela; Universidad San Francisco de Quito; Pontificia Universidad Javeriana; Universidad de Costa Rica","keywords":"Latin Americans; Public transport; Geography; Cycling; Socioeconomic status; Public health; Demography; Socioeconomics; Cross-sectional study; Population; Descriptive statistics; Travel time; Environmental health; Medicine; Gerontology; Transport engineering; Political science; Sociology; Engineering; Forestry","score_opus":0.041752807910830865,"score_gpt":0.33959030742479485,"score_spread":0.297837499513964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996662412","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967851,0.00013425657,0.00017092763,0.002038989,0.00021681734,0.00045283022,0.00012438068,0.0000064532537,0.00007022104],"genre_scores_gemma":[0.9993592,0.00023298642,0.00006385276,0.00017799475,0.000115769486,0.0000026949342,0.000009736572,0.000009353642,0.000028400686],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976107,0.00024631724,0.0009237778,0.00021713955,0.00068069727,0.0003213721],"domain_scores_gemma":[0.99870545,0.00022636361,0.0006401806,0.000129946,0.00013220441,0.00016584324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00228269,0.00012488957,0.00046164967,0.00013104451,0.00025091696,0.00003832254,0.00035092855,0.000087914246,0.0002575989],"category_scores_gemma":[0.00002104299,0.00008997719,0.00016423836,0.00037311294,0.00024186079,0.00046720033,0.0000062435734,0.00055255333,7.970602e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001027752,0.00036211594,0.967314,0.00002278588,0.000057638616,0.0000048956954,0.031338207,0.0000038378953,0.000029199085,0.00008556103,0.0000035658402,0.00067539245],"study_design_scores_gemma":[0.0010404637,0.00025480398,0.9858444,0.000042767573,0.000015615526,4.1436232e-7,0.012083238,0.0000015844463,0.0000063811603,0.00048659256,0.00014350553,0.000080231875],"about_ca_topic_score_codex":0.013645222,"about_ca_topic_score_gemma":0.01946769,"teacher_disagreement_score":0.01925497,"about_ca_system_score_codex":0.00010554863,"about_ca_system_score_gemma":0.00052905665,"threshold_uncertainty_score":0.9984245},"labels":[],"label_agreement":null},{"id":"W2996735308","doi":"","title":"A Multiple Criteria Decision Analysis of Alternative Paving Options for Dalhousie University","year":2014,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Decision analysis; Computer science; Operations research; Management science; Engineering; Mathematics; Statistics","score_opus":0.03309068929066016,"score_gpt":0.32914033259766046,"score_spread":0.2960496433070003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996735308","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7589704,0.0000034161806,0.23652971,0.00006561117,0.000057309422,0.0000948571,0.00003277976,0.000021849066,0.004224073],"genre_scores_gemma":[0.98966575,0.0000056175672,0.009566388,0.000014626466,0.00003292096,7.622739e-7,0.0000127494,0.0000018826122,0.0006992849],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994494,0.00005615215,0.00011069997,0.00014939891,0.00012707889,0.00010728298],"domain_scores_gemma":[0.99918085,0.00045533295,0.000059865873,0.00011382877,0.00013970514,0.00005040654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004792101,0.00004033974,0.000141307,0.000121998644,0.00025211336,0.000016153213,0.00018150965,0.000034865345,0.0003437651],"category_scores_gemma":[0.00018898273,0.000037470352,0.00014621216,0.0005025746,0.000104426355,0.000187717,0.0000149451935,0.000021424881,0.0000011161352],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007944574,0.00014179577,0.96503466,0.000008076687,0.00022400978,4.1723325e-7,0.007213354,0.00028806613,0.0005189298,0.018077234,0.0001365017,0.008277512],"study_design_scores_gemma":[0.00057529827,0.00003522179,0.939386,0.000011319421,0.00059431145,5.1763287e-9,0.0035337545,0.038285047,0.0003639852,0.0037785813,0.013289147,0.00014731303],"about_ca_topic_score_codex":0.006548618,"about_ca_topic_score_gemma":0.050537765,"teacher_disagreement_score":0.23069537,"about_ca_system_score_codex":0.00002693166,"about_ca_system_score_gemma":0.000025386233,"threshold_uncertainty_score":0.9899595},"labels":[],"label_agreement":null},{"id":"W2997372598","doi":"10.1007/978-3-030-27419-1_23","title":"Active and Safe Routes to School","year":2019,"lang":"en","type":"book-chapter","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Ontario Ministry of Health and Long-Term Care; Ontario Neurotrauma Foundation","keywords":"SAFER; Variety (cybernetics); Intervention (counseling); Business; Transport engineering; Environmental planning; Public relations; Engineering; Medicine; Political science; Geography; Computer science; Computer security; Nursing","score_opus":0.022962071058013817,"score_gpt":0.28533573898577075,"score_spread":0.26237366792775696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997372598","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0027138141,0.000105851315,0.000028212404,0.0010092505,0.00020032327,0.00042003367,0.000032574007,0.000052876727,0.9954371],"genre_scores_gemma":[0.05652492,0.000060505034,0.00014907797,0.00047711772,0.0002957039,0.0000023277737,0.00000920004,0.000013192133,0.9424679],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99909383,0.0000085679585,0.00013703851,0.00033623065,0.00025084324,0.00017351538],"domain_scores_gemma":[0.999429,0.000057380425,0.00005299007,0.00017658944,0.00006848416,0.00021559485],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00012563469,0.00014495655,0.00022484043,0.000053367996,0.00014888684,0.0000729124,0.0001851711,0.00023690202,0.010868501],"category_scores_gemma":[0.000027433884,0.00012404536,0.00006585639,0.000020982468,0.00012965282,0.00018146391,0.00003371116,0.00018100803,0.0008482209],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000097389515,0.000027180447,0.04800996,0.0000611886,0.00012873307,0.00001016396,0.0050264234,2.811093e-7,0.000018708248,0.88025665,0.024001876,0.042361442],"study_design_scores_gemma":[0.000091932714,0.00002575013,0.019957658,0.00004869937,0.00003165347,3.8392418e-8,0.00027096775,1.7434061e-7,0.00001777143,0.02235253,0.9569195,0.0002833471],"about_ca_topic_score_codex":0.0018252726,"about_ca_topic_score_gemma":0.010594562,"teacher_disagreement_score":0.9329176,"about_ca_system_score_codex":0.00007283976,"about_ca_system_score_gemma":0.00028957642,"threshold_uncertainty_score":0.9999297},"labels":[],"label_agreement":null},{"id":"W299762813","doi":"10.1016/j.trf.2015.04.004","title":"Urban cyclists’ perspectives on post-collision behaviour change: A qualitative study","year":2015,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Michael's Hospital; Toronto Rehabilitation Institute; University of Toronto","funders":"","keywords":"Cycling; Behaviour change; Grounded theory; Psychology; Thematic analysis; Qualitative research; Reflexivity; Collision; Social psychology; Applied psychology; Computer security; Geography; Sociology; Psychological intervention; Computer science; Psychiatry","score_opus":0.2551934503696021,"score_gpt":0.5249239996184126,"score_spread":0.2697305492488105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W299762813","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99312323,0.0004205287,0.0000063998214,0.0030355172,0.0003601183,0.0017498144,0.0001494889,0.00016744056,0.0009874364],"genre_scores_gemma":[0.99801487,0.00011776647,0.00004051942,0.0001245996,0.0002804313,0.00040480212,0.00014285876,0.000025368992,0.0008487659],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.994745,0.001814832,0.00049080356,0.00094765564,0.0012746975,0.0007270191],"domain_scores_gemma":[0.9978488,0.00025131195,0.00011668669,0.00036364596,0.0008596692,0.0005599028],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005123663,0.00024964538,0.00034954364,0.00038850107,0.00090413087,0.000094048206,0.00039100638,0.0002935577,0.0002071449],"category_scores_gemma":[0.000119699034,0.00023166786,0.00010289904,0.00079484336,0.0011666765,0.00048636858,0.00000660754,0.0008138576,0.000051535153],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005768091,0.0028719215,0.3797694,0.00000581434,0.000022312182,0.00009029469,0.6123577,0.0000015449956,0.000008191189,0.0007508747,0.0026544097,0.000890737],"study_design_scores_gemma":[0.001227569,0.000985962,0.60615534,0.000018858645,0.00003850623,2.3148577e-7,0.3902121,8.262684e-7,0.0000035461837,0.00008295737,0.001099887,0.00017421656],"about_ca_topic_score_codex":0.003498259,"about_ca_topic_score_gemma":0.020475008,"teacher_disagreement_score":0.22638594,"about_ca_system_score_codex":0.000095525655,"about_ca_system_score_gemma":0.00021990086,"threshold_uncertainty_score":0.9973988},"labels":[],"label_agreement":null},{"id":"W2997728300","doi":"10.5383/jttm.01.02.003","title":"Extensive use of Motorcycles in Karachi, Pakistan: Revisiting the Policies that led us here","year":2020,"lang":"en","type":"article","venue":"International Journal of Traffic and Transportation Management","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Public transport; Transport engineering; Business; Traffic congestion; Car ownership; Engineering","score_opus":0.03736529369537057,"score_gpt":0.3173626295085501,"score_spread":0.27999733581317954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997728300","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9907236,0.00032375983,0.0007253595,0.0077699884,0.00012077839,0.00013827988,0.000016040138,0.0000075677217,0.00017462745],"genre_scores_gemma":[0.99823815,0.000766724,0.00031659842,0.00048562436,0.00015011332,0.000001468689,0.0000064775854,0.0000043911805,0.00003047304],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99879974,0.000059779562,0.0004563433,0.000099887475,0.0004913505,0.00009290144],"domain_scores_gemma":[0.99925095,0.00009267492,0.00038083826,0.000040096966,0.00018375646,0.000051658066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032995633,0.00007327912,0.00015756919,0.000079674326,0.00006691671,0.000067514884,0.00022899096,0.00002337224,0.000032882042],"category_scores_gemma":[0.000017391545,0.00005547742,0.00009457384,0.00012533696,0.00012493864,0.00038696025,0.000003972716,0.00010393857,3.8038087e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006189956,0.00010843802,0.8703788,0.00012342221,0.00037136476,0.0003018153,0.03389587,0.021706892,0.00005105694,0.013460615,0.000098337594,0.058884386],"study_design_scores_gemma":[0.0005162,0.000021631744,0.9833091,0.000112399466,0.000057294663,4.1526968e-7,0.009523063,0.00020202811,0.000018314262,0.00013306881,0.0060427273,0.000063757594],"about_ca_topic_score_codex":0.00030592593,"about_ca_topic_score_gemma":0.0004895237,"teacher_disagreement_score":0.1129303,"about_ca_system_score_codex":0.000025297177,"about_ca_system_score_gemma":0.000025881354,"threshold_uncertainty_score":0.22623035},"labels":[],"label_agreement":null},{"id":"W2998504844","doi":"10.5539/jel.v9n1p60","title":"The Role of Cycling in Sustainable Urban Life: Perception of Cyclists in Turkey","year":2019,"lang":"en","type":"article","venue":"Journal of Education and Learning","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Perception; Psychology; Cycling; Applied psychology; Sample (material); Descriptive statistics; Scale (ratio); Test (biology); Simple random sample; Data collection; Social psychology; Gerontology; Geography; Environmental health; Sociology; Medicine; Social science; Statistics; Population; Mathematics; Cartography","score_opus":0.006243865100007089,"score_gpt":0.2957407455577428,"score_spread":0.28949688045773575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998504844","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9939106,0.0009453981,0.000002552266,0.00028298234,0.00010776601,0.000059558035,3.7809244e-8,0.000001023255,0.00469008],"genre_scores_gemma":[0.9984365,0.00012428856,0.000040370596,0.000008277924,0.00007610084,4.8826047e-7,3.2051676e-7,0.00000197968,0.0013116623],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992622,0.0001648185,0.00030101408,0.000046384237,0.00013397716,0.00009160642],"domain_scores_gemma":[0.9993595,0.00013052448,0.00030367222,0.000035128858,0.00013702628,0.000034164535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017225413,0.00002929705,0.00010400361,0.00010046635,0.000084578125,0.0000221876,0.000078405625,0.000035334055,0.000060849175],"category_scores_gemma":[0.00041712009,0.00002239956,0.00002916213,0.00018840047,0.0000524266,0.00024366936,0.000004808509,0.00022695963,3.91269e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021832622,0.00005932437,0.96046937,0.000018375069,0.0000017200856,1.01912875e-7,0.03343104,0.00018577896,0.0007687983,0.00057219976,0.000009766568,0.004461716],"study_design_scores_gemma":[0.00010878434,0.000019335055,0.78171384,0.00005408816,0.0000027941503,1.2758079e-7,0.21291032,0.00005931068,0.000016078517,0.00047263436,0.004621938,0.000020753529],"about_ca_topic_score_codex":0.0025996184,"about_ca_topic_score_gemma":0.00022427026,"teacher_disagreement_score":0.17947929,"about_ca_system_score_codex":0.0000501424,"about_ca_system_score_gemma":0.0003735012,"threshold_uncertainty_score":0.39298627},"labels":[],"label_agreement":null},{"id":"W2998753961","doi":"10.1155/2020/7570148","title":"An Empirical Spatial Accessibility Analysis of Qingdao City Based on Multisource Data","year":2020,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"China Postdoctoral Science Foundation; National Natural Science Foundation of China; Shandong University of Science and Technology; Shandong University","keywords":"Service (business); Linkage (software); Transport engineering; Business; Public transport; Census; Sustainability; Scale (ratio); Urban spatial structure; Public service; Geography; Urban planning; Regional science; Civil engineering; Marketing; Population; Cartography; Environmental health; Engineering","score_opus":0.07248301532995824,"score_gpt":0.3980066316176311,"score_spread":0.3255236162876729,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998753961","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.937529,0.000024204734,0.061083525,0.00083203614,0.00011674362,0.00013840826,0.00019818202,0.000023170238,0.00005471287],"genre_scores_gemma":[0.9942849,0.000010256132,0.004986848,0.00026682045,0.00017285626,8.3274165e-7,0.00026734968,0.000008287698,0.000001798386],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99751914,0.00018131327,0.0009178407,0.00035616933,0.0008469088,0.0001786179],"domain_scores_gemma":[0.9979465,0.00017700809,0.0008430429,0.0003804315,0.00037314437,0.00027987006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093645824,0.00013036777,0.0004996475,0.00017359847,0.00014364634,0.00002843621,0.0007526863,0.000097666074,0.00022823604],"category_scores_gemma":[0.00023488744,0.000116181254,0.00024611212,0.0011686387,0.0001666728,0.0012688887,0.000002902279,0.00026291487,3.9222058e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00083395623,0.00038305906,0.92263705,0.00002564077,0.00010638843,0.000011033781,0.0065205432,0.061671138,0.0007989563,0.000007517597,0.000008420785,0.0069963178],"study_design_scores_gemma":[0.0007418332,0.00023844202,0.984656,0.00001960445,0.00068148563,1.546686e-8,0.00096158264,0.011758695,0.00050010206,0.00006654151,0.00026026435,0.00011546724],"about_ca_topic_score_codex":0.0005753514,"about_ca_topic_score_gemma":0.006276733,"teacher_disagreement_score":0.06201894,"about_ca_system_score_codex":0.000048550366,"about_ca_system_score_gemma":0.00026235197,"threshold_uncertainty_score":0.4737734},"labels":[],"label_agreement":null},{"id":"W2998765596","doi":"10.1155/2020/8319089","title":"Comparing Spatial Accessibility and Travel Time Prediction to Commercial Centres by Private and Public Transport: A Case Study of Oforikrom District","year":2020,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Public transport; Transport engineering; Private transport; Global Positioning System; Mode of transport; Mode (computer interface); Travel behavior; Travel time; Business; Computer science; Engineering; Telecommunications","score_opus":0.027872682787986096,"score_gpt":0.2926087329048508,"score_spread":0.2647360501168647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998765596","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950527,0.000105299834,0.0035895992,0.00043200588,0.000099287,0.00055324816,0.00013349096,0.000018709961,0.000015657271],"genre_scores_gemma":[0.9994787,0.00003937807,0.00029487154,0.000028770373,0.000103658465,0.0000037994,0.00003881218,0.000009933755,0.0000020923837],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99808085,0.000097343785,0.0008942549,0.0002596327,0.00046429795,0.00020359244],"domain_scores_gemma":[0.9988073,0.00006378333,0.00048048602,0.000079686004,0.00019903887,0.00036969947],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003732001,0.00014807908,0.00044300797,0.00007713085,0.00023715555,0.00003832847,0.00014363663,0.00006675076,0.00002214613],"category_scores_gemma":[0.00004560368,0.00013904413,0.00006883275,0.00035067945,0.00012828514,0.0010163706,0.0000032534022,0.00019787585,1.5074387e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005254604,0.00045346102,0.94091356,0.000064099455,0.00004571484,0.00008349458,0.047050614,0.0001667163,0.0015854718,0.000010418205,0.0000087076005,0.009092281],"study_design_scores_gemma":[0.0020110314,0.0005785822,0.9836184,0.000028293358,0.00016582866,0.0000032194464,0.0130993705,0.000054772434,0.0001930976,0.000037673613,0.00009333137,0.00011640284],"about_ca_topic_score_codex":0.0015047381,"about_ca_topic_score_gemma":0.010585394,"teacher_disagreement_score":0.042704836,"about_ca_system_score_codex":0.000035680012,"about_ca_system_score_gemma":0.00007492069,"threshold_uncertainty_score":0.59068984},"labels":[],"label_agreement":null},{"id":"W2998981040","doi":"10.31235/osf.io/hzgpd","title":"On the Accuracy of Schedule-Based GTFS for Measuring Accessibility","year":2018,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Schedule; Computer science; Transit (satellite); Estimation; Travel time; Public transport; Transport engineering; Engineering","score_opus":0.09778137563061252,"score_gpt":0.3622263688946845,"score_spread":0.264444993264072,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998981040","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95335215,0.000012033992,0.0045748595,0.0020109348,0.00017918837,0.0005342824,0.000008498347,0.000059807637,0.039268244],"genre_scores_gemma":[0.9984006,4.8926665e-7,0.00067998545,0.00039251693,0.0001931481,0.00002775981,0.0000015640326,0.0000055585515,0.00029836418],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988701,0.000097412725,0.00023541517,0.00023587991,0.00032581427,0.00023539127],"domain_scores_gemma":[0.9980605,0.0011098237,0.00011935932,0.0003591989,0.00029139637,0.000059707043],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0018691598,0.00008106249,0.00012781745,0.000026408105,0.00055628887,0.0000531045,0.000523453,0.00006422507,0.0013351495],"category_scores_gemma":[0.0015902198,0.000048898826,0.000118404045,0.00023309108,0.000645012,0.00021585531,0.000013639671,0.000070044225,0.0000123664895],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005953203,0.0007279574,0.7755739,0.00013041426,0.000047228794,3.2872865e-7,0.004232743,0.000006455877,0.0024410996,0.20360306,0.0020706079,0.010570852],"study_design_scores_gemma":[0.001531826,0.00033263327,0.6214884,0.00012191733,0.0000652559,1.5521314e-8,0.0022544446,0.0008480338,0.25316876,0.11010984,0.0096043805,0.0004744949],"about_ca_topic_score_codex":0.0008229861,"about_ca_topic_score_gemma":0.0041388096,"teacher_disagreement_score":0.25072765,"about_ca_system_score_codex":0.000039958577,"about_ca_system_score_gemma":0.00026475353,"threshold_uncertainty_score":0.99957776},"labels":[],"label_agreement":null},{"id":"W2999294024","doi":"","title":"The association between parents' perceptions of neighbourhood walkability and children's physical activity and screen time","year":2013,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Neighbourhood (mathematics); Walkability; Perception; Demography; Built environment; Physical activity; Geography; Psychology; Cohort; Medicine; Sociology; Ecology; Physical therapy","score_opus":0.007989343763256301,"score_gpt":0.26635900072467045,"score_spread":0.2583696569614141,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2999294024","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9935741,0.0000078609,0.000017318122,0.0011445308,0.000012307544,0.00029942926,0.000026611926,0.000029349378,0.004888488],"genre_scores_gemma":[0.9991289,0.000012873736,0.000025768404,0.000007068773,0.000112553964,0.000006005438,0.000005453133,0.0000027997137,0.0006985813],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99921817,0.000107823675,0.00010007381,0.00016832135,0.00023266012,0.00017294854],"domain_scores_gemma":[0.99930364,0.00034517064,0.00008206461,0.00010012807,0.00008410777,0.000084875486],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004546382,0.00006610887,0.00014171687,0.000010475956,0.00051736593,0.00009448234,0.000104699655,0.00006567192,0.0001883267],"category_scores_gemma":[0.00009097888,0.00004420723,0.000045332967,0.00009625903,0.00031160458,0.00040863192,0.000029097824,0.00009774646,0.000011724738],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000016949623,0.000056635803,0.98012507,0.0000013335317,0.000020406555,3.4674392e-9,0.0007257693,1.9034331e-8,0.00013050697,0.00020478842,0.000059361733,0.018674409],"study_design_scores_gemma":[0.00009838195,0.000015096513,0.9968138,0.0000018040756,0.00003105805,6.7658763e-9,0.0002722799,0.000019015311,0.00005161638,0.0026272563,0.000014172502,0.00005554678],"about_ca_topic_score_codex":0.017117146,"about_ca_topic_score_gemma":0.0014925757,"teacher_disagreement_score":0.018618863,"about_ca_system_score_codex":0.000041506995,"about_ca_system_score_gemma":0.00002656349,"threshold_uncertainty_score":0.989428},"labels":[],"label_agreement":null},{"id":"W2999451096","doi":"","title":"Transportation and Commuting Patterns: A View from the Fifth District","year":2019,"lang":"en","type":"article","venue":"Econ Focus","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"TRIPS architecture; Recreation; Quarter (Canadian coin); Transport engineering; Business; Geography; Engineering; Political science","score_opus":0.015450605970614224,"score_gpt":0.26099921090624895,"score_spread":0.2455486049356347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2999451096","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950953,0.00084565324,0.000049428487,0.0010882106,0.00011592395,0.00021668267,0.000050392566,0.000029458388,0.0025089167],"genre_scores_gemma":[0.99956584,0.000062702224,0.0000144111755,0.00011234312,0.00007339138,0.00000597225,0.000026407373,0.0000038450403,0.00013507457],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994492,0.000054757627,0.00013187031,0.00013683885,0.00010442671,0.00012292051],"domain_scores_gemma":[0.99962544,0.00014583333,0.000054972625,0.00012277727,0.00001461134,0.00003636468],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002014653,0.000054834043,0.00009072353,0.0000058647825,0.00019120488,0.000073395335,0.00014223368,0.000037538917,0.0015626544],"category_scores_gemma":[0.000008836738,0.000038619764,0.000033387612,0.00006403055,0.000053371936,0.00020016449,0.0000034712593,0.00008016647,0.000063176856],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002039215,0.000008676006,0.9701638,0.000005368941,0.000005371834,6.4158667e-7,0.007428541,1.7320711e-7,0.000010940303,0.00031500144,0.00006153153,0.021997869],"study_design_scores_gemma":[0.00013396546,0.0000068401378,0.98823136,0.000021513255,0.000010877822,1.3868469e-8,0.0014835458,0.000009259448,0.000024894134,0.0014247859,0.00859228,0.00006066034],"about_ca_topic_score_codex":0.024733646,"about_ca_topic_score_gemma":0.019533332,"teacher_disagreement_score":0.021937208,"about_ca_system_score_codex":0.000012872327,"about_ca_system_score_gemma":0.000018612509,"threshold_uncertainty_score":0.9993501},"labels":[],"label_agreement":null},{"id":"W2999519464","doi":"10.31235/osf.io/pej8u","title":"Future access to essential services in a growing smart city: The case of Surrey, British Columbia","year":2018,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Equity (law); Census; Population; Investment (military); Geography; Business; Distribution (mathematics); Smart city; Public transport; Economic growth; Transport engineering; Environmental health; Political science; Computer science; Medicine; Economics; Engineering; Internet privacy; Internet of Things","score_opus":0.016325124879560997,"score_gpt":0.30513566261541036,"score_spread":0.28881053773584936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2999519464","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.987573,0.000037224625,0.00002144581,0.0012656286,0.0005179909,0.00030819097,0.0000150657015,0.000036484544,0.010224941],"genre_scores_gemma":[0.9979153,0.000005610204,0.00005047314,0.00060573913,0.0006871086,0.000009954901,0.0000025504783,0.000005323173,0.0007179095],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989404,0.00010257794,0.0002399914,0.00024475282,0.00020574419,0.00026649877],"domain_scores_gemma":[0.99947494,0.00005041009,0.000056007924,0.0001864103,0.0001444393,0.0000878131],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007643465,0.00005766025,0.00015196762,0.000024759718,0.00049252424,0.00068077346,0.00056320126,0.00008056666,0.0022570917],"category_scores_gemma":[0.00001866425,0.000062905194,0.000057082147,0.00069349544,0.00026686722,0.00081574835,0.0000847521,0.00009439184,0.000004723961],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000737949,0.0000523235,0.9898065,0.000023579923,0.00000635374,0.00009967087,0.0045692716,6.7310125e-8,0.000021327412,0.00007707953,0.0006147482,0.0047217356],"study_design_scores_gemma":[0.00017520001,0.000017146684,0.9842652,0.000041199317,0.000013629466,0.000004953837,0.008515503,0.0000068565028,0.00011778228,0.00084965763,0.0058774836,0.00011535148],"about_ca_topic_score_codex":0.8750287,"about_ca_topic_score_gemma":0.9974442,"teacher_disagreement_score":0.12241551,"about_ca_system_score_codex":0.00002360159,"about_ca_system_score_gemma":0.000093269904,"threshold_uncertainty_score":0.99865496},"labels":[],"label_agreement":null},{"id":"W2999579097","doi":"10.1177/0361198119900129","title":"What Can Publicly Available API Data Tell Us about Supply and Demand for New Mobility Services?","year":2020,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Application programming interface; Python (programming language); Computer science; Data extraction; Scripting language; Data collection; Database; On demand; Operating system","score_opus":0.17243565728812077,"score_gpt":0.41494368295681133,"score_spread":0.24250802566869056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2999579097","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97033405,0.0016988382,0.0007880619,0.023896908,0.00051582407,0.0021625762,0.00041213154,0.00004501396,0.00014658786],"genre_scores_gemma":[0.9894189,0.005852764,0.001858967,0.00036959362,0.00071095244,0.000050504375,0.00017361574,0.00005310093,0.001511574],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.991615,0.001162432,0.0014644268,0.0009309272,0.0036222981,0.0012049166],"domain_scores_gemma":[0.99283445,0.0012564971,0.00050798134,0.00083997194,0.0031890857,0.0013719862],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.009163673,0.00028408968,0.0005852816,0.00036909035,0.001522872,0.0010118766,0.0028387012,0.0002780571,0.00096485205],"category_scores_gemma":[0.00039124215,0.00022805983,0.00028255602,0.002022434,0.0011801497,0.0040341225,0.000023555553,0.001695147,0.000015354573],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015581544,0.00019922479,0.9586487,0.00069480384,0.00012452008,0.000026856884,0.017160036,0.00006336987,0.0004083957,0.0006137399,0.01461503,0.0058872043],"study_design_scores_gemma":[0.001808364,0.00036846238,0.8409085,0.00029071097,0.0000925595,8.284554e-8,0.008816757,0.00018930377,0.00032530545,0.00204959,0.14491165,0.00023866433],"about_ca_topic_score_codex":0.0917155,"about_ca_topic_score_gemma":0.54512423,"teacher_disagreement_score":0.45340875,"about_ca_system_score_codex":0.00016854155,"about_ca_system_score_gemma":0.0025161852,"threshold_uncertainty_score":0.9999484},"labels":[],"label_agreement":null},{"id":"W2999634888","doi":"10.1093/abm/kaz068","title":"Direct and Indirect Relationships Between the Built Environment and Individual-Level Perceptions of Physical Activity: A Systematic Review","year":2020,"lang":"en","type":"review","venue":"Annals of Behavioral Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Canadian Institutes of Health Research; Canadian Cancer Society; Social Sciences and Humanities Research Council of Canada; Heart and Stroke Foundation of Canada","keywords":"Mediation; Health psychology; Psychology; Cognition; Developmental psychology; Psychological intervention; Built environment; Perception; Structural equation modeling; Social cognitive theory; Moderated mediation; Social psychology; Clinical psychology; Applied psychology; Medicine; Public health; Ecology","score_opus":0.4405485082748589,"score_gpt":0.4603865832621356,"score_spread":0.019838074987276688,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2999634888","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01704762,0.9794791,0.0000037260365,0.0010111846,0.000020801468,0.0020333182,0.00028925188,0.000014871258,0.00010014083],"genre_scores_gemma":[0.13758092,0.86206424,0.000009639624,0.000021364951,0.00012046684,0.00010020887,0.000048947775,0.000013539354,0.000040699924],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.99701035,0.0011125101,0.0007157552,0.00031984109,0.00066265394,0.00017886021],"domain_scores_gemma":[0.9977651,0.00086036953,0.0008316043,0.00032264274,0.0000502737,0.00016997692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020832953,0.0002638968,0.0028580078,0.00008539191,0.00023113596,0.000011444017,0.00031378603,0.00016093162,0.000038798524],"category_scores_gemma":[0.00030621837,0.00015273428,0.00025815386,0.0003691696,0.0011299952,0.00012389939,0.00007078811,0.0004287326,0.000002317369],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003462672,0.0002605601,0.014925149,0.5451283,0.00034019625,0.000005181105,0.014359609,8.516921e-9,0.0000019421602,0.00003981406,0.00033520377,0.4246006],"study_design_scores_gemma":[0.0002779187,0.0006554355,0.11863142,0.7889617,0.04178834,0.0000028246573,0.0024099005,2.8415283e-7,0.000006788997,0.00016289837,0.046423484,0.0006790195],"about_ca_topic_score_codex":0.00064122333,"about_ca_topic_score_gemma":0.000094529525,"teacher_disagreement_score":0.42392159,"about_ca_system_score_codex":0.000018610552,"about_ca_system_score_gemma":0.00010934905,"threshold_uncertainty_score":0.6228323},"labels":[],"label_agreement":null},{"id":"W2999901858","doi":"10.1073/pnas.1905232116","title":"Global trends toward urban street-network sprawl","year":2020,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":108,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Urban sprawl; Geography; Economic geography; Urban planning; Biology; Ecology","score_opus":0.07026017304027816,"score_gpt":0.34130907376571307,"score_spread":0.2710489007254349,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2999901858","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88341326,0.00022116795,0.0000018462976,0.026378497,0.000045828663,0.00012066468,0.000034012144,0.000038879047,0.08974582],"genre_scores_gemma":[0.99805784,0.000012575874,0.0005971029,0.0006920272,0.00049520016,0.000002840272,1.4033725e-7,0.0000019441839,0.00014035635],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99757016,0.000011023234,0.0003169683,0.00027771207,0.0015851909,0.00023893887],"domain_scores_gemma":[0.99929625,0.000055588644,0.0003417261,0.000005572186,0.00020180395,0.00009906435],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012903879,0.00008709688,0.00016372153,0.00003723176,0.0004160621,0.00004257146,0.0013127977,0.0000932905,0.00009200938],"category_scores_gemma":[0.00038514007,0.000061253406,0.00012280098,0.0023509304,0.0016170644,0.0006144446,0.00008429041,0.00011657849,0.0000012578068],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014454531,0.000028963814,0.8583249,0.000024905052,0.000011342582,5.3217675e-9,0.0012372796,0.00004533239,0.0005014589,0.12997101,0.009011801,0.00082853675],"study_design_scores_gemma":[0.00016807893,0.000045915036,0.9297108,0.00004284292,0.000024742394,1.10226374e-7,0.0012192135,0.00016980345,0.002875244,0.05961803,0.0059850514,0.0001401517],"about_ca_topic_score_codex":0.000101367616,"about_ca_topic_score_gemma":0.000006176181,"teacher_disagreement_score":0.11464453,"about_ca_system_score_codex":0.000045886965,"about_ca_system_score_gemma":0.00008756793,"threshold_uncertainty_score":0.5958141},"labels":[],"label_agreement":null},{"id":"W2999954832","doi":"10.2196/16787","title":"Impact of Built Environments on Body Weight (the Moving to Health Study): Protocol for a Retrospective Longitudinal Observational Study","year":2020,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"U.S. National Library of Medicine; Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Diabetes and Digestive and Kidney Diseases","keywords":"Cohort; Retrospective cohort study; Demography; Medicine; Cohort study; Gerontology; Observational study; Demographics; Construct (python library); Computer science; Surgery","score_opus":0.5623739905254472,"score_gpt":0.6335967230614813,"score_spread":0.07122273253603406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2999954832","genre_codex":"protocol","genre_gemma":"protocol","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"protocol","genre_consensus":"protocol","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12377136,1.1229296e-7,0.00006496632,0.0020091217,0.0000027010146,0.87389565,0.00003201169,0.000025997526,0.00019808151],"genre_scores_gemma":[0.3552746,9.473155e-9,0.000050798324,0.00004016114,0.00018868755,0.6442937,0.000001708242,0.000013681281,0.00013667408],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9947002,0.0011095572,0.00054955675,0.0006818685,0.0022464716,0.0007123349],"domain_scores_gemma":[0.99835074,0.0002996565,0.0002107725,0.0004592445,0.00028530817,0.00039425812],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004569604,0.00018373138,0.00036274458,0.00009633857,0.0011641125,0.000148014,0.00096352334,0.000055029985,0.00031158983],"category_scores_gemma":[0.0005268016,0.00012357313,0.00015669422,0.0010010173,0.00025327012,0.00030980702,0.00016142974,0.0004841667,0.000020430738],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023609598,0.006012739,0.9723184,0.00008773874,0.000056176574,0.0000030085948,0.015178507,0.000009057382,0.000109690234,0.00017181266,0.0033054424,0.0003864673],"study_design_scores_gemma":[0.0025014933,0.019128753,0.966035,0.00012771247,0.0000016781742,1.5537573e-8,0.0016630649,0.00002241045,0.00003361679,0.0003437101,0.010029167,0.00011335263],"about_ca_topic_score_codex":0.0016663523,"about_ca_topic_score_gemma":0.00089413923,"teacher_disagreement_score":0.23150322,"about_ca_system_score_codex":0.0007254442,"about_ca_system_score_gemma":0.0010359244,"threshold_uncertainty_score":0.89535296},"labels":[],"label_agreement":null},{"id":"W3000006501","doi":"10.4000/geocarrefour.13323","title":"Vers l’amélioration de la marchabilité de la ville pour tous. Retour d’expérience sur l’aménagement de l’accessibilité autour d’un centre commercial à Montréal","year":2020,"lang":"fr","type":"article","venue":"Géocarrefour","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Humanities; Art","score_opus":0.014356559077864248,"score_gpt":0.2649231383891687,"score_spread":0.25056657931130444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3000006501","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9360419,0.0018399238,0.0025690733,0.040768474,0.00072019454,0.0007222629,0.000112088455,0.0003049191,0.016921194],"genre_scores_gemma":[0.99083686,0.0004487309,0.0029075423,0.0020948783,0.0016059614,0.00004745892,0.00003111352,0.00007461528,0.0019528692],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9921139,0.0031424526,0.00091380405,0.0011559998,0.0009788895,0.0016949617],"domain_scores_gemma":[0.99675715,0.0009176685,0.00039501156,0.0005905641,0.00021690298,0.0011227326],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0042544035,0.0005963277,0.0006662787,0.000092562426,0.0009831954,0.00045467936,0.0012736175,0.0007553229,0.0013839775],"category_scores_gemma":[0.0010998634,0.00064171065,0.00047982892,0.0011259202,0.0014335705,0.0010196451,0.00024027475,0.0011092915,0.0001420214],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003478229,0.0008752272,0.86905694,0.0003552799,0.00012952088,0.00053359143,0.06365402,0.0008961139,0.0008624941,0.006717767,0.012082055,0.044489153],"study_design_scores_gemma":[0.002768946,0.00022845571,0.84008306,0.00025122316,0.00040041338,0.00001590988,0.030733848,0.010814141,0.0012092883,0.011934789,0.10027896,0.001280988],"about_ca_topic_score_codex":0.031664036,"about_ca_topic_score_gemma":0.006946521,"teacher_disagreement_score":0.0881969,"about_ca_system_score_codex":0.0014240298,"about_ca_system_score_gemma":0.0018545857,"threshold_uncertainty_score":0.9996034},"labels":[],"label_agreement":null},{"id":"W3000325693","doi":"10.31235/osf.io/yngx4","title":"Insights from self-organizing maps for predicting accessibility demand for healthcare infrastructure","year":2018,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Equity (law); Cluster analysis; Health care; Census; Population; Geography; Business; Computer science; Economic growth; Medicine; Environmental health; Economics; Artificial intelligence; Political science","score_opus":0.02308796270762376,"score_gpt":0.31641800047285934,"score_spread":0.2933300377652356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3000325693","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98371863,0.00016786865,0.010067718,0.0009812,0.0008045087,0.0013458055,0.00021380896,0.00037987623,0.002320552],"genre_scores_gemma":[0.98088586,0.000004894801,0.016184771,0.00042335826,0.0021747304,0.000055804663,0.000105565356,0.000019371364,0.0001456213],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99827355,0.00007890756,0.0004002726,0.00057540275,0.00025555113,0.00041631336],"domain_scores_gemma":[0.9985256,0.00034183584,0.00016039418,0.0002822635,0.00048525413,0.00020460457],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00041345714,0.00016320951,0.0002552097,0.000040524254,0.0015570342,0.00016759749,0.00042771627,0.00024688456,0.00016708409],"category_scores_gemma":[0.00027581723,0.00013508678,0.00010852797,0.0002573436,0.00022074004,0.00065991905,0.000037328577,0.00011735872,0.0000034348745],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009113971,0.000054719465,0.971598,0.00011773577,0.000040551826,2.6934475e-7,0.019458024,3.1726054e-7,0.0003884784,0.0038316736,0.0016437831,0.0027752905],"study_design_scores_gemma":[0.0010387315,0.00014392818,0.77243507,0.000044624467,0.00007665761,4.5535163e-8,0.0056461673,0.00031377975,0.0027199097,0.19012307,0.02710484,0.00035316125],"about_ca_topic_score_codex":0.0031082744,"about_ca_topic_score_gemma":0.034190543,"teacher_disagreement_score":0.19916292,"about_ca_system_score_codex":0.00014685412,"about_ca_system_score_gemma":0.0003627153,"threshold_uncertainty_score":0.9997428},"labels":[],"label_agreement":null},{"id":"W3000425953","doi":"10.31235/osf.io/8yf7q","title":"A measure of competitive access to destinations for comparing across multiple study regions","year":2019,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Destinations; Measure (data warehouse); Competition (biology); Business; Supply and demand; Population; Inequality; Supply side; Market access; Transport engineering; Economic geography; Geography; Computer science; Economics; Tourism; Microeconomics; Commerce","score_opus":0.12404661733562065,"score_gpt":0.41240634500095613,"score_spread":0.28835972766533546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3000425953","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9752602,0.00000325378,0.0047147158,0.00046306438,0.00011830089,0.0019241448,0.000023310537,0.00005572934,0.017437309],"genre_scores_gemma":[0.998113,2.1283023e-7,0.0006402797,0.00004567952,0.00003156967,0.00007203798,0.0000047655935,0.0000053877125,0.001087099],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99909264,0.00005052694,0.0001947951,0.00021171357,0.00023689709,0.0002134398],"domain_scores_gemma":[0.9990341,0.0002831738,0.00006505809,0.00016910896,0.00036699953,0.000081567516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005470106,0.00006571694,0.0001866768,0.000033369,0.000343133,0.00007549283,0.00038876839,0.000030566287,0.0000671837],"category_scores_gemma":[0.00021345622,0.000059559614,0.00006122031,0.0003369924,0.000084429914,0.00031333382,0.00004501552,0.000048799866,0.000009029641],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026863607,0.00030000356,0.97871673,0.000010631533,0.000013214463,1.2780464e-7,0.015750559,0.00004614227,0.000048243677,0.0048685553,0.00008293397,0.00013597435],"study_design_scores_gemma":[0.000662845,0.000066044384,0.9708857,0.000021501966,0.000013131704,1.1324352e-8,0.026420452,0.00008317996,0.00020305434,0.00031064267,0.0012380197,0.00009542942],"about_ca_topic_score_codex":0.0063852496,"about_ca_topic_score_gemma":0.120931566,"teacher_disagreement_score":0.114546314,"about_ca_system_score_codex":0.000038946804,"about_ca_system_score_gemma":0.00007997954,"threshold_uncertainty_score":0.965263},"labels":[],"label_agreement":null},{"id":"W3000503214","doi":"10.29173/hsi82","title":"Can active school transport prevent overweight and obesity in children and youth?","year":2012,"lang":"en","type":"article","venue":"Health Science Inquiry","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Children's Hospital of Eastern Ontario","funders":"Canadian Institutes of Health Research; Canadian Diabetes Association","keywords":"Overweight; Obesity; Medicine; Psychology; Environmental health; Endocrinology","score_opus":0.039430185295431824,"score_gpt":0.3489494226613305,"score_spread":0.3095192373658987,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3000503214","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971474,0.00072265294,0.000009083873,0.0008431964,0.00024080806,0.0005245847,0.00002311161,0.000031196694,0.00045798623],"genre_scores_gemma":[0.99902064,0.00024191286,0.0000871777,0.0003806767,0.00021520411,0.000007087079,0.0000059550857,0.000004310998,0.000037021513],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980614,0.000065333734,0.00025422266,0.00038922598,0.0004685212,0.0007612901],"domain_scores_gemma":[0.998916,0.000017479324,0.00009525283,0.00015441643,0.000035023164,0.0007818344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002383459,0.000110064866,0.0001915882,0.00012452182,0.00081111066,0.000042358104,0.00022933196,0.00006697231,0.000040681738],"category_scores_gemma":[0.000038946677,0.00009960772,0.000020442736,0.00061183085,0.0018537784,0.0012058028,0.00002917089,0.00020374176,0.000001963571],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000062974677,0.00009831676,0.9341501,0.000010014571,0.0000011501666,1.9997368e-7,0.06302313,1.3004802e-7,0.0000053262925,0.0004981056,0.000007836431,0.0021994165],"study_design_scores_gemma":[0.00015284974,0.000025129966,0.99396795,0.000029567875,0.000004173628,6.363617e-7,0.0052478192,0.0000013452167,0.000048378773,0.0003700226,0.000038352682,0.00011376167],"about_ca_topic_score_codex":0.022062093,"about_ca_topic_score_gemma":0.0084107015,"teacher_disagreement_score":0.059817884,"about_ca_system_score_codex":0.00024776589,"about_ca_system_score_gemma":0.0010115235,"threshold_uncertainty_score":0.9844501},"labels":[],"label_agreement":null},{"id":"W3000619368","doi":"10.7939/r3-dpht-zz13","title":"Analyzing Network Connectivity by Cyclist Comfort: An Empirical Reappraisal of the Four Types of Cyclists Typology and Level of Traffic Stress Framework","year":2019,"lang":"en","type":"article","venue":"University of Alberta Library","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Typology; Stress (linguistics); Transport engineering; Engineering; Geography","score_opus":0.02781787497488865,"score_gpt":0.2712061354830833,"score_spread":0.24338826050819468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3000619368","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99313056,0.00007809567,0.000038810354,0.0004288224,0.00008670205,0.00011823259,0.000061015802,0.000007845848,0.0060499213],"genre_scores_gemma":[0.9990144,0.00002436542,0.00037245854,0.000015958494,0.000022767941,2.9898604e-8,0.000014297911,0.000004818255,0.00053094095],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99916667,0.00020290502,0.00016820602,0.00018150662,0.00013743428,0.00014330089],"domain_scores_gemma":[0.99870175,0.0007149473,0.00026299633,0.00022987317,0.000029008665,0.000061410115],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001451641,0.00007672131,0.0003130844,0.000032707292,0.00010923458,0.000005026822,0.00040160486,0.0001650874,0.00026060548],"category_scores_gemma":[0.000045248828,0.00006964164,0.00009233262,0.00028215683,0.00089754426,0.00043571307,0.00007887783,0.00013346676,2.8485107e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012408895,0.00012424003,0.98944867,0.000051982162,0.000042536445,4.487888e-7,0.006042664,0.00012785273,0.000036412366,0.0033718022,0.00042643282,0.00020288484],"study_design_scores_gemma":[0.00024940335,0.000063188185,0.9950753,0.00007418315,0.000052345986,1.0375884e-7,0.002665877,0.00014691538,0.00019844755,0.0005554165,0.000830602,0.00008821513],"about_ca_topic_score_codex":0.0071054497,"about_ca_topic_score_gemma":0.011365966,"teacher_disagreement_score":0.0058838087,"about_ca_system_score_codex":0.000004528275,"about_ca_system_score_gemma":0.00012334192,"threshold_uncertainty_score":0.9995063},"labels":[],"label_agreement":null},{"id":"W3000683887","doi":"10.1155/2020/7621576","title":"Spatial Variation of Taxi Demand Using GPS Trajectories and POI Data","year":2020,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"China Postdoctoral Science Foundation; Ministry of Education of the People's Republic of China; National Natural Science Foundation of China; Shandong University of Science and Technology; Shandong University","keywords":"Transport engineering; Public transport; TRIPS architecture; Global Positioning System; Point of interest; Geographic information system; Demand forecasting; Service (business); Land use; Geography; Computer science; Operations research; Business; Engineering; Civil engineering; Cartography; Marketing","score_opus":0.043244888392452704,"score_gpt":0.3186193730596118,"score_spread":0.2753744846671591,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3000683887","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94769245,0.0003093228,0.051261608,0.00036531588,0.00019448296,0.00009641869,0.00004781512,0.0000075401485,0.00002506696],"genre_scores_gemma":[0.99195904,0.00014033781,0.0075824396,0.000027175587,0.0002562606,2.2463853e-7,0.000027114273,0.000005584772,0.00000183267],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989199,0.000045775058,0.00048423748,0.00012877629,0.0003274774,0.00009385462],"domain_scores_gemma":[0.9990824,0.000051377487,0.00051771366,0.0000759107,0.00017968164,0.00009294584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036004488,0.000067967994,0.00020199484,0.000037947153,0.00010315135,0.00001747529,0.00016493308,0.00005079627,0.00003070717],"category_scores_gemma":[0.000086126995,0.00006378068,0.000040952018,0.00018848195,0.000094181,0.0013025533,0.000001883976,0.00010149783,8.611033e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012091758,0.00017911944,0.77721953,0.00030869935,0.00013057866,0.00003220797,0.13445191,0.008733925,0.057290588,0.0010937679,0.000014487211,0.019335978],"study_design_scores_gemma":[0.0007791186,0.00010367217,0.9932858,0.000052598218,0.00014495642,3.448029e-7,0.0030050646,0.00023157816,0.0009408247,0.0010033766,0.0003627763,0.00008993226],"about_ca_topic_score_codex":0.0004540315,"about_ca_topic_score_gemma":0.0018123997,"teacher_disagreement_score":0.2160662,"about_ca_system_score_codex":0.000016452854,"about_ca_system_score_gemma":0.00015575963,"threshold_uncertainty_score":0.26009005},"labels":[],"label_agreement":null},{"id":"W3000927053","doi":"10.1080/09640568.2018.1523052","title":"Spatial statistical analysis of infrastructure systems in Calgary, Alberta","year":2019,"lang":"en","type":"article","venue":"Journal of Environmental Planning and Management","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Electricity; Demolition; Consumption (sociology); Mode (computer interface); Environmental economics; Mode of transport; Business; Regional science; Transport engineering; Econometrics; Geography; Economics; Civil engineering; Computer science; Engineering; Public transport","score_opus":0.005928069705525034,"score_gpt":0.2468615529162473,"score_spread":0.24093348321072228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3000927053","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99536324,0.00027621957,0.0007777686,0.000025658392,0.0001330123,0.00010950446,0.000009196588,0.0000011169254,0.0033042622],"genre_scores_gemma":[0.9993914,0.00008686448,0.00019101726,0.000014824357,0.000022191756,5.5836324e-7,0.0000068906065,0.000002529372,0.00028375763],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991366,0.00004950094,0.00031912656,0.00009611718,0.00028599828,0.00011263412],"domain_scores_gemma":[0.9996334,0.00005684903,0.00018676514,0.00006168561,0.0000030900585,0.000058230395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003285429,0.00006014707,0.00023683971,0.00017041758,0.00003303745,0.000019068179,0.00009702128,0.00003611572,0.00021291983],"category_scores_gemma":[0.0000046544797,0.00005065002,0.000047238133,0.00011009687,0.000080110214,0.00010383815,0.000022947788,0.000087356966,0.0000010196993],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004484611,0.000051648705,0.99394566,0.000033017623,0.00022566358,0.000024727678,0.0014938466,0.0019074354,0.00004316994,0.0004592483,0.000050758663,0.0017199632],"study_design_scores_gemma":[0.00029759613,0.0000473429,0.9939958,0.00003766913,0.00024331459,3.4193494e-7,0.0025669022,0.0005599275,0.0000022398733,0.00005392951,0.0021423055,0.00005267341],"about_ca_topic_score_codex":0.0021059026,"about_ca_topic_score_gemma":0.00035528943,"teacher_disagreement_score":0.004028105,"about_ca_system_score_codex":0.000060314742,"about_ca_system_score_gemma":0.000007186974,"threshold_uncertainty_score":0.3183509},"labels":[],"label_agreement":null},{"id":"W3003585523","doi":"10.2196/16833","title":"Follow-Up Investigation on the Promotional Practices of Electric Scooter Companies: Content Analysis of Posts on Instagram and Twitter","year":2020,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Popularity; Metropolitan area; Social media; Advertising; Content analysis; Business; Sociology; Political science; Computer science; Geography; World Wide Web; Law","score_opus":0.1921975893732543,"score_gpt":0.36190557915393357,"score_spread":0.16970798978067927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3003585523","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.934076,0.00015610053,0.00001567692,0.06488703,0.000031307543,0.00041087432,0.000018935303,0.000014130036,0.0003899541],"genre_scores_gemma":[0.9958191,0.00007859417,0.000011444536,0.0039749458,0.00003666938,0.000015655334,0.000027908212,0.0000029348696,0.000032781398],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984325,0.0004586458,0.00032761673,0.00022009273,0.00036278088,0.00019836357],"domain_scores_gemma":[0.9985979,0.00038883562,0.000503567,0.00010120853,0.00016497298,0.00024348526],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014167149,0.00007870205,0.00027645365,0.000097515345,0.00020080365,0.00005369133,0.00011103631,0.000045401604,0.000032738615],"category_scores_gemma":[0.00068175513,0.000053041626,0.000048660357,0.0009887,0.00020575899,0.00016598353,0.0000097072825,0.00012283596,5.521639e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007231777,0.000060632137,0.9867137,0.00007039118,0.00006277099,1.5031499e-7,0.009206247,7.3420745e-7,0.000033537635,0.0019523253,0.0002787262,0.0015484488],"study_design_scores_gemma":[0.00024171462,0.00024634937,0.99550647,0.000007726194,0.0000044646913,3.2172906e-8,0.0011026739,0.00035962195,0.0000082621855,0.000069322254,0.0023973854,0.000055992037],"about_ca_topic_score_codex":0.0010613129,"about_ca_topic_score_gemma":0.0017850224,"teacher_disagreement_score":0.061743077,"about_ca_system_score_codex":0.000025830575,"about_ca_system_score_gemma":0.00038512723,"threshold_uncertainty_score":0.21629748},"labels":[],"label_agreement":null},{"id":"W3003708186","doi":"10.1016/j.aap.2020.105439","title":"A composite zonal index for biking attractiveness and safety","year":2020,"lang":"en","type":"article","venue":"Accident Analysis & Prevention","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Attractiveness; Transport engineering; Index (typography); Recreation; Crash; Poison control; Composite index; Centrality; Engineering; Geography; Computer science; Statistics; Environmental health; Mathematics; Psychology; Econometrics; Composite indicator; Medicine","score_opus":0.036459606895653224,"score_gpt":0.3435699759108091,"score_spread":0.30711036901515587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3003708186","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88491017,0.00017108227,0.112954736,0.0012121343,0.000037240992,0.00029261774,0.000001154767,0.000041463412,0.00037942955],"genre_scores_gemma":[0.9990623,0.000041810403,0.00038116553,0.00009820875,0.00015535059,0.000018127737,0.00008074172,0.0000052044293,0.00015706256],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988737,0.00012075336,0.0002718374,0.00030458573,0.0002602558,0.00016883944],"domain_scores_gemma":[0.9994749,0.000090187554,0.00016203967,0.00008284855,0.000082228275,0.000107839594],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005984766,0.00008621654,0.0002308869,0.00008853454,0.0004231697,0.0001147866,0.0001482156,0.00006568814,0.00025854236],"category_scores_gemma":[0.000044423516,0.000088210916,0.0002810843,0.00070771395,0.00006104829,0.000525118,0.000024158973,0.000072018745,0.0000026406788],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010047755,0.000037640093,0.9898942,0.000003963439,0.0003346617,6.478446e-7,0.001504633,0.00007373885,0.00015372799,0.00032614247,0.000011797213,0.0075583565],"study_design_scores_gemma":[0.00033032632,0.000018343493,0.9936318,0.000010730977,0.0009576788,2.7316998e-8,0.0005215273,0.0011791281,0.00009093652,0.0017014139,0.0014436747,0.000114436414],"about_ca_topic_score_codex":0.0007049252,"about_ca_topic_score_gemma":0.014431003,"teacher_disagreement_score":0.11415219,"about_ca_system_score_codex":0.000044438864,"about_ca_system_score_gemma":0.000044865094,"threshold_uncertainty_score":0.80528384},"labels":[],"label_agreement":null},{"id":"W3004002266","doi":"10.1155/2020/3654130","title":"Exploring the Factors Associated with Car Use for Short Trips: Evidence from Kunming, China","year":2020,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"TRIPS architecture; Structural equation modeling; China; Transport engineering; Travel behavior; Cycling; Psychology; Kilometer; Business; Engineering; Geography; Computer science","score_opus":0.18537168989067532,"score_gpt":0.32905866197721084,"score_spread":0.14368697208653552,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3004002266","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9913565,0.00014779143,0.0069079376,0.0009172845,0.00027505093,0.0003118524,0.000049342714,0.000028797702,0.0000054793795],"genre_scores_gemma":[0.99862796,0.00017169482,0.00086787145,0.000049074693,0.00021659181,0.000010749479,0.00003300205,0.00001406546,0.000008961356],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986065,0.00006255783,0.0004643857,0.00016946904,0.0005056561,0.00019141081],"domain_scores_gemma":[0.99863905,0.00051014713,0.00035754684,0.000078176665,0.00027372886,0.00014133696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035958376,0.00012271752,0.00025058573,0.000030994754,0.00030922692,0.00006565814,0.00024848973,0.00004214276,0.000016086315],"category_scores_gemma":[0.0004502416,0.00007987507,0.0001652895,0.00031316766,0.00009477623,0.003021783,8.099751e-7,0.00021991122,1.4354988e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00049621105,0.000045483794,0.89617735,0.000015086862,0.00010108332,0.000009850531,0.09430094,0.0042864187,0.0021706354,0.00002838331,0.000015002583,0.0023535532],"study_design_scores_gemma":[0.00041035932,0.00016413699,0.98985654,0.00018247771,0.00017991614,2.1088981e-8,0.0068255053,0.000011780453,0.0015338747,0.00011647107,0.000608723,0.00011019211],"about_ca_topic_score_codex":0.00036278498,"about_ca_topic_score_gemma":0.005025624,"teacher_disagreement_score":0.09367919,"about_ca_system_score_codex":0.000076671975,"about_ca_system_score_gemma":0.00014468654,"threshold_uncertainty_score":0.32572109},"labels":[],"label_agreement":null},{"id":"W3004230050","doi":"10.1155/2020/7645153","title":"Evaluation of Public Transport-Based Accessibility to Health Facilities considering Spatial Heterogeneity","year":2020,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Science and Technology Commission of Shanghai Municipality; National Natural Science Foundation of China","keywords":"Public transport; Public health; Census; Population; Geographic information system; Geocoding; Geography; Transport engineering; Business; Environmental health; Cartography; Medicine; Engineering","score_opus":0.11686215190339694,"score_gpt":0.37894365144022324,"score_spread":0.2620814995368263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3004230050","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9553763,0.00031285154,0.03908044,0.00418295,0.00026615424,0.000570101,0.00011608484,0.000030419811,0.00006468768],"genre_scores_gemma":[0.9966904,0.000023438924,0.0028228562,0.00027158388,0.00013853871,0.00000886745,0.000031007054,0.000010889761,0.000002449592],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9959053,0.00042664877,0.0013137176,0.00026931168,0.0017927154,0.0002923561],"domain_scores_gemma":[0.9967922,0.00008855903,0.0008931384,0.00014091317,0.0016364781,0.00044871733],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040305415,0.00015406455,0.00047830294,0.00012665948,0.00019220103,0.000025017012,0.00026859491,0.00007727168,0.0002266699],"category_scores_gemma":[0.00037851674,0.00015210012,0.00024398106,0.00047581363,0.00016326571,0.0010008587,0.0000013678534,0.00019049099,8.822316e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00058445695,0.00034310427,0.77667946,0.0004530897,0.00009492165,0.000007432609,0.052973103,0.061321348,0.0034984504,0.00014202991,0.000015718086,0.103886895],"study_design_scores_gemma":[0.0016494723,0.00034813007,0.9854626,0.000075505195,0.00010649843,1.0863016e-7,0.005095155,0.00014849025,0.0049185646,0.0005931489,0.0014324783,0.0001698221],"about_ca_topic_score_codex":0.0006470902,"about_ca_topic_score_gemma":0.023507286,"teacher_disagreement_score":0.20878318,"about_ca_system_score_codex":0.00021538346,"about_ca_system_score_gemma":0.0020016124,"threshold_uncertainty_score":0.99431115},"labels":[],"label_agreement":null},{"id":"W3004545818","doi":"10.1016/j.jshs.2020.02.002","title":"Walking-friendly built environments and objectively measured physical function in older adults","year":2020,"lang":"en","type":"article","venue":"Journal of sport and health science/Journal of Sport and Health Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Japan Society for the Promotion of Science; Ministry of Education, Culture, Sports, Science and Technology","keywords":"Function (biology); Physical medicine and rehabilitation; Psychology; Gerontology; Medicine","score_opus":0.04129426014586688,"score_gpt":0.3419746848027042,"score_spread":0.3006804246568373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3004545818","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98783284,0.002498425,0.000016721175,0.008630157,0.00054119225,0.00034220115,7.10647e-7,0.0000066705693,0.00013106997],"genre_scores_gemma":[0.99505496,0.0025004626,0.0006197544,0.0012134745,0.00058690703,0.0000010529195,3.7652947e-7,0.000008366725,0.000014670231],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9945356,0.0000024517883,0.0015647563,0.000539306,0.0024428528,0.0009149967],"domain_scores_gemma":[0.99521595,0.0000037378663,0.0021630477,0.00012159627,0.0004207919,0.0020748784],"candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.011442018,0.00023193014,0.0008998285,0.00060677156,0.0015321596,0.00020677196,0.0006473464,0.00007852559,0.000017168737],"category_scores_gemma":[0.000008331214,0.00018195949,0.000096677904,0.0017377894,0.0027574513,0.0029516816,0.00008022577,0.0007549064,5.809524e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023759378,0.00017491683,0.9758048,0.000096074415,0.0000042565234,0.000031377076,0.016050931,0.000003510858,0.000024796756,0.00041552377,0.00004498099,0.0071112583],"study_design_scores_gemma":[0.0012114403,0.0012445644,0.9881839,0.00034410635,0.00001564193,0.000050403516,0.0067209364,0.00006884207,0.000032149906,0.0004359118,0.0015300525,0.00016204952],"about_ca_topic_score_codex":0.0010562767,"about_ca_topic_score_gemma":0.00052077323,"teacher_disagreement_score":0.012379121,"about_ca_system_score_codex":0.00036962662,"about_ca_system_score_gemma":0.005353627,"threshold_uncertainty_score":0.9999565},"labels":[],"label_agreement":null},{"id":"W3004571062","doi":"10.1371/journal.pone.0228491","title":"Understanding the contribution of public- and restricted-access places to overall and domain-specific physical activity among Mexican adults: A cross-sectional study","year":2020,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Canadian Institutes of Health Research; National Institute of Diabetes and Digestive and Kidney Diseases; Public Health Agency; Public Health Agency of Canada","keywords":"Physical activity; Cross-sectional study; Logistic regression; Public domain; Environmental health; Public health; Geography; Medicine; Gerontology; Demography; Sociology; Physical therapy","score_opus":0.17860494573550004,"score_gpt":0.32893599873385787,"score_spread":0.15033105299835783,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3004571062","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99696183,0.000024909374,0.0005520661,0.0014214515,0.00001901198,0.0007018446,0.00003022279,0.000039998067,0.0002486357],"genre_scores_gemma":[0.9997297,0.000016657279,0.000014717786,0.000028244243,0.00017539358,0.00002094739,0.0000034429422,0.0000047166923,0.0000061937117],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986754,0.00016664453,0.00014525546,0.00029718468,0.00052654906,0.00018897558],"domain_scores_gemma":[0.99930084,0.00022919149,0.00010089431,0.00009137402,0.00011437711,0.00016332263],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003729454,0.00008673478,0.00020017344,0.00002999728,0.0005326447,0.00032487616,0.0001861264,0.000045420777,0.000018929224],"category_scores_gemma":[0.0001293436,0.00006759861,0.000027558513,0.00035955128,0.0004496616,0.0006138609,0.0000659713,0.00014831325,4.0128302e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002511915,0.00096422876,0.98667634,0.000014266069,0.000057604633,0.0000011020899,0.009124744,8.6779966e-7,0.0005956495,0.0022751496,0.0000076630195,0.00003119844],"study_design_scores_gemma":[0.00058348797,0.00017040675,0.9948237,0.000015372148,0.000018689916,1.9691235e-8,0.0028868106,0.0000509881,0.00023830686,0.0011151986,0.000016179341,0.00008082684],"about_ca_topic_score_codex":0.00097651884,"about_ca_topic_score_gemma":0.0029397963,"teacher_disagreement_score":0.008147378,"about_ca_system_score_codex":0.00008870989,"about_ca_system_score_gemma":0.000047918194,"threshold_uncertainty_score":0.40967262},"labels":[],"label_agreement":null},{"id":"W3004621076","doi":"10.4000/cybergeo.34011","title":"Réduire les usages de l’automobile en ville : une comparaison des débats médiatiques sur la réduction de la vitesse à 30 km/h à Paris et à Montréal","year":2020,"lang":"fr","type":"article","venue":"Cybergeo","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.028555663183567438,"score_gpt":0.3214611893121818,"score_spread":0.29290552612861437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3004621076","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.951287,0.021938378,0.0007822711,0.0114597045,0.0002538008,0.00026762142,0.000114460105,0.00026281827,0.01363396],"genre_scores_gemma":[0.9906961,0.0047441726,0.00093681354,0.00042808455,0.0006280588,0.000042401087,0.000048358197,0.000040815616,0.0024351974],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9962882,0.0016677608,0.00045409572,0.00054175296,0.0003531331,0.0006950988],"domain_scores_gemma":[0.99809694,0.0009474615,0.00020034016,0.00022001495,0.00011423526,0.00042099165],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015199804,0.00033497112,0.00046780365,0.00004478777,0.0006009969,0.00023546486,0.00037106435,0.00049814803,0.0011246783],"category_scores_gemma":[0.00032459613,0.00034909745,0.00022914454,0.00069065293,0.0011753466,0.0008681197,0.000066294924,0.0005711998,0.00007105213],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008212874,0.0007989478,0.79031897,0.00028254767,0.00013616325,0.000109373585,0.13409323,0.0014955896,0.0019712988,0.005674347,0.020581752,0.044455633],"study_design_scores_gemma":[0.00046854836,0.00010207178,0.5867817,0.00014704996,0.00014924942,0.0000036399251,0.0050263284,0.001753937,0.0024189104,0.002709297,0.39996383,0.00047547795],"about_ca_topic_score_codex":0.18911207,"about_ca_topic_score_gemma":0.025126671,"teacher_disagreement_score":0.37938207,"about_ca_system_score_codex":0.0002678241,"about_ca_system_score_gemma":0.0004563534,"threshold_uncertainty_score":0.9998961},"labels":[],"label_agreement":null},{"id":"W3005280305","doi":"","title":"Will Peak Car Observed in the North Occur in the South? A Demographic Approach with Case Studies of Montreal, Lille, Juarez and Puebla","year":2018,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"TRIPS architecture; Geography; Population; Car ownership; Demography; Demographic economics; Socioeconomics; Economy; Public transport; Sociology; Economics; Engineering; Transport engineering","score_opus":0.03438933071489464,"score_gpt":0.26028257230636737,"score_spread":0.22589324159147273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3005280305","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9870817,0.0009805242,0.00025936076,0.0018719594,0.000017667622,0.0004683078,0.00001622768,0.000023304043,0.009280916],"genre_scores_gemma":[0.9986753,0.00018344911,0.0008218091,0.00007066517,0.0000144102805,0.00004079787,0.000015492293,0.0000067985993,0.00017132038],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9948374,0.0039453707,0.00030197256,0.00032059135,0.0003432903,0.0002513791],"domain_scores_gemma":[0.9973817,0.0009962283,0.00018654503,0.0007245811,0.00066119444,0.000049761],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006141879,0.00013179054,0.00021245933,0.00009551865,0.0005782196,0.000113853916,0.0007125198,0.00006094068,0.0000065144177],"category_scores_gemma":[0.0005755261,0.000079771016,0.000054542874,0.0011964103,0.0014630264,0.0002593583,0.00006808849,0.0002037402,5.3246464e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014179179,0.0002501841,0.6690276,0.000030209569,0.000016996875,0.000017518127,0.32604176,0.0000014877728,0.000005413582,0.003550025,0.00004508147,0.0009994952],"study_design_scores_gemma":[0.0006148757,0.0000025013878,0.9184708,0.00017367177,0.000044021825,0.000011558201,0.07863362,0.00034879002,0.000047098845,0.0007326681,0.0007434513,0.00017694838],"about_ca_topic_score_codex":0.021297693,"about_ca_topic_score_gemma":0.6001033,"teacher_disagreement_score":0.5788056,"about_ca_system_score_codex":0.000020750464,"about_ca_system_score_gemma":0.000093174654,"threshold_uncertainty_score":0.9852196},"labels":[],"label_agreement":null},{"id":"W3005367954","doi":"10.1016/j.ssmph.2020.100538","title":"Living liveable? RESIDE's evaluation of the “Liveable Neighborhoods” planning policy on the health supportive behaviors and wellbeing of residents in Perth, Western Australia","year":2020,"lang":"en","type":"article","venue":"SSM - Population Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"National Health and Medical Research Council; Australian Research Council; Medical Research Council; Canadian Institutes of Health Research; World Health Organization; National Heart Foundation of Australia; RMIT University; Healthway","keywords":"Environmental planning; Gerontology; Geography; Environmental resource management; Sociology; Medicine; Environmental science","score_opus":0.13750441387719017,"score_gpt":0.43359297261345076,"score_spread":0.2960885587362606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3005367954","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98892343,0.00020414774,0.0000097548755,0.009708923,0.00007502862,0.00089461065,0.000014665363,0.0000144578,0.00015497954],"genre_scores_gemma":[0.9990834,0.000035401783,0.000026231108,0.0006713432,0.00009618354,0.00001038301,0.000011323148,0.000009209075,0.00005652598],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9966001,0.0012990711,0.00070667855,0.00027258557,0.00078949594,0.00033209324],"domain_scores_gemma":[0.9986579,0.00020149737,0.00071441306,0.00018831957,0.000103891805,0.0001339992],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038221658,0.00011173016,0.0002704793,0.00009369388,0.00048264564,0.00002933724,0.00020517605,0.00007005068,0.00006222019],"category_scores_gemma":[0.0004767747,0.00008210547,0.000050848404,0.00057324755,0.00012163435,0.00025948664,0.000033217988,0.0002233984,8.6404333e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020187103,0.000033602475,0.9354516,0.00007452666,0.0000034264244,1.3422614e-7,0.062563725,0.00033441043,0.000010159091,0.000972173,0.00006688652,0.00046911617],"study_design_scores_gemma":[0.00016761503,0.00010366288,0.98997766,0.0004069572,0.0000096437325,5.8336507e-8,0.007962745,0.00023028538,0.000015089654,0.0010568536,0.0000055841388,0.000063822044],"about_ca_topic_score_codex":0.1834568,"about_ca_topic_score_gemma":0.021499282,"teacher_disagreement_score":0.16195752,"about_ca_system_score_codex":0.00031079122,"about_ca_system_score_gemma":0.0010563927,"threshold_uncertainty_score":0.99635583},"labels":[],"label_agreement":null},{"id":"W3005797849","doi":"10.1051/e3sconf/202014502017","title":"Research of 3-Tier Mobility Stations System with bike and car sharing— Case study of small–scale city in Germany","year":2020,"lang":"en","type":"article","venue":"E3S Web of Conferences","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Transport engineering; Bike sharing; Car sharing; Scale (ratio); Process (computing); Sustainable transport; Computer science; Environmental economics; Sustainability; Engineering; Geography","score_opus":0.1445471189919608,"score_gpt":0.37748401162304174,"score_spread":0.23293689263108094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3005797849","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945312,0.000062443905,0.000024408753,0.00008771937,0.000018553326,0.00056433206,0.000034755183,0.000013128746,0.0046634586],"genre_scores_gemma":[0.9998793,0.0000062879344,0.000050151342,0.0000019847575,0.000015059385,0.00001723556,0.0000010793872,0.000002851368,0.000026056956],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984205,0.00027059542,0.00041673292,0.00028105607,0.00044093345,0.000170193],"domain_scores_gemma":[0.9989557,0.00020230957,0.00014903655,0.000173484,0.00042012462,0.00009934231],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013766664,0.00007525225,0.00032465853,0.00009347426,0.00012737421,0.000022838107,0.00025489778,0.000052697706,0.00006596316],"category_scores_gemma":[0.000056105066,0.00006045049,0.000023691138,0.00058977003,0.00073343754,0.00013953482,0.00004744293,0.00015558608,2.0243013e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054060998,0.00026873845,0.9565163,0.0002129393,0.000015402782,0.000023636983,0.04174248,0.00000879061,0.00007619957,0.00092369324,0.0000018050047,0.00015591596],"study_design_scores_gemma":[0.00047350174,0.0003722477,0.7439114,0.000067604225,0.000019899497,4.773976e-7,0.25441018,0.0003174363,0.00022799037,0.000105623316,0.00002294488,0.00007072149],"about_ca_topic_score_codex":0.08776245,"about_ca_topic_score_gemma":0.23627731,"teacher_disagreement_score":0.2126677,"about_ca_system_score_codex":0.000019945806,"about_ca_system_score_gemma":0.00083555316,"threshold_uncertainty_score":0.9183122},"labels":[],"label_agreement":null},{"id":"W3005919961","doi":"","title":"Final chance to have your say on new walking and cycling route for Northern Quarter","year":2020,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cycling; Quarter (Canadian coin); Geography; Archaeology","score_opus":0.08000160378783604,"score_gpt":0.3336524440212968,"score_spread":0.25365084023346074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3005919961","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96092224,0.000030789823,0.0100646205,0.022356879,0.000088972665,0.00029736932,0.000005534668,0.000059626414,0.0061739725],"genre_scores_gemma":[0.99373347,0.0000019290437,0.0011313255,0.002624269,0.0006067719,0.0000062808267,0.0000020646655,0.0000056017757,0.001888281],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99928343,0.000013517876,0.00011732338,0.00024844895,0.00013594395,0.00020132566],"domain_scores_gemma":[0.99964607,0.000047007008,0.00002829108,0.00006225343,0.000026058486,0.00019033237],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015534837,0.000070143506,0.00010560786,0.000012495466,0.00021493879,0.00007096583,0.000116179515,0.000038669772,0.00007377655],"category_scores_gemma":[0.00004981767,0.000059510374,0.00004306112,0.00007405073,0.000024276595,0.00013018776,0.000008213366,0.000054500753,0.000014471672],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001461576,0.000030158395,0.8605778,0.000023763028,0.000012629688,0.0000027750268,0.07286664,0.000019935553,0.0002838854,0.0011629988,0.0011186219,0.0637546],"study_design_scores_gemma":[0.002488431,0.0008684935,0.82696366,0.00015109405,0.00008166639,1.6864433e-7,0.037483867,0.0018288795,0.0029483805,0.009465487,0.116502866,0.0012170158],"about_ca_topic_score_codex":0.0023484326,"about_ca_topic_score_gemma":0.029772311,"teacher_disagreement_score":0.11538424,"about_ca_system_score_codex":0.000018845483,"about_ca_system_score_gemma":0.00005288049,"threshold_uncertainty_score":0.9879318},"labels":[],"label_agreement":null},{"id":"W3006285707","doi":"","title":"Uni-Cycle: The Influence of Barrier Perception on bicycle commuting behaviour at Dalhousie University","year":2007,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Perception; Psychology; Geography","score_opus":0.01518934663815858,"score_gpt":0.27839315130504905,"score_spread":0.2632038046668905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3006285707","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96089256,0.0000031518057,0.000047248006,0.0002928656,0.000045221885,0.00012242536,0.000005533545,0.00004989077,0.038541105],"genre_scores_gemma":[0.9969532,0.0000048398283,0.000057615547,0.00016485859,0.00003618337,1.3481124e-7,0.0000023199852,0.0000035202984,0.0027773222],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991566,0.00008566,0.00013640776,0.00013858012,0.00027385697,0.00020890094],"domain_scores_gemma":[0.999413,0.00013577765,0.000073006704,0.00020742582,0.000097050615,0.00007373256],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010293546,0.000062300416,0.000079580415,0.000036142344,0.0008176581,0.000012542775,0.00033030723,0.00007186918,0.0005655313],"category_scores_gemma":[0.000043780226,0.000047392878,0.000055759534,0.0002761006,0.00045391853,0.00019397738,0.000041583942,0.000117726544,0.000016154298],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002795535,0.000040270617,0.9898679,0.0000023420853,0.0000027669817,0.0000022854124,0.0070027644,0.000050544626,0.00095626106,0.00074842665,0.000043871394,0.001254593],"study_design_scores_gemma":[0.0001031228,0.000015223454,0.9880715,0.000007951619,0.000012295182,5.9912466e-8,0.009786134,0.000007212273,0.00030544432,0.00008727451,0.001539995,0.000063799576],"about_ca_topic_score_codex":0.013302085,"about_ca_topic_score_gemma":0.033712298,"teacher_disagreement_score":0.036060646,"about_ca_system_score_codex":0.000120584235,"about_ca_system_score_gemma":0.000049119455,"threshold_uncertainty_score":0.99326843},"labels":[],"label_agreement":null},{"id":"W3006289770","doi":"10.1155/2020/4693750","title":"A Computational Framework for Revealing Competitive Travel Times with Low-Carbon Modes Based on Smartphone Data Collection","year":2020,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"TRIPS architecture; Modal; Transport engineering; Metropolitan area; Public transport; Pairwise comparison; Viewpoints; Mode (computer interface); Travel behavior; Computer science; Operations research; Econometrics; Geography; Engineering; Mathematics","score_opus":0.027630946055398696,"score_gpt":0.3068414625766692,"score_spread":0.27921051652127055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3006289770","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48464814,0.000045962348,0.51145524,0.0028541097,0.00014540172,0.0004216308,0.000118265016,0.00002648934,0.00028475912],"genre_scores_gemma":[0.89372915,0.000012508561,0.1054984,0.00029465384,0.00022806475,0.0000060429193,0.0002087323,0.000013922235,0.000008525863],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9985921,0.000054642114,0.00044373158,0.00023624561,0.0005159795,0.00015729849],"domain_scores_gemma":[0.9985505,0.00038088314,0.00044843732,0.0000947901,0.00039646338,0.00012894298],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035090593,0.00012019161,0.00026287246,0.00007198149,0.00022642915,0.000032076347,0.00021459526,0.000073315736,0.000027771744],"category_scores_gemma":[0.000105111765,0.000106503525,0.00007658817,0.00038812106,0.00010770469,0.00048881053,8.886092e-7,0.00021579226,3.1131424e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.009568483,0.00051942846,0.039248176,0.00026982982,0.00013769197,0.000031664513,0.020195093,0.91520005,0.00070875767,0.011218817,0.000079954276,0.0028220282],"study_design_scores_gemma":[0.011484933,0.0030805035,0.7925427,0.0019724704,0.0006270079,0.0000010707258,0.021490812,0.13383755,0.002974739,0.030165853,0.00087347167,0.0009488861],"about_ca_topic_score_codex":0.00003146716,"about_ca_topic_score_gemma":0.00030553178,"teacher_disagreement_score":0.78136253,"about_ca_system_score_codex":0.000060351485,"about_ca_system_score_gemma":0.0003671314,"threshold_uncertainty_score":0.43430877},"labels":[],"label_agreement":null},{"id":"W3006330789","doi":"10.1177/23998083221082109","title":"A longitudinal analysis of travel demand and its determinants in the Greater Toronto-Hamilton Area","year":2022,"lang":"en","type":"article","venue":"Environment and Planning B Urban Analytics and City Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"Ontario Research Foundation","keywords":"Vehicle miles of travel; Transport engineering; Travel behavior; Geography; Kilometer; Population; Gravity model of trade; Travel time; Economic geography; Economics; Engineering; Demography","score_opus":0.04570365974085103,"score_gpt":0.2824179493776102,"score_spread":0.2367142896367592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3006330789","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982697,0.001005306,0.000048731083,0.0000552513,0.000018502878,0.00009826479,0.000019429981,0.0000024261021,0.00048241115],"genre_scores_gemma":[0.9995964,0.00017735505,0.000012772289,0.000037234837,0.000011420831,0.0000039659053,0.0000021770559,0.0000016045301,0.00015702596],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99876595,0.00006499243,0.00017777839,0.00031583244,0.000454939,0.00022053812],"domain_scores_gemma":[0.99965006,0.00006926284,0.00008288555,0.00011190296,0.000007377126,0.00007850817],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015824209,0.00008803024,0.00019231102,0.000111418325,0.00078599027,0.000074917414,0.00022122024,0.00002405838,0.00011621403],"category_scores_gemma":[0.000015146321,0.00006728406,0.000033274602,0.00041172883,0.0006174173,0.00021464832,0.000058379246,0.00007696238,6.399581e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010072689,0.00002802769,0.9783128,0.0000037621915,0.000016017573,0.000007755302,0.021253565,0.00008874058,0.00006187773,0.00009150938,0.00000575788,0.000120149096],"study_design_scores_gemma":[0.00010826863,0.000043658343,0.98556644,0.0000049750183,0.00015149987,5.948686e-7,0.0053395126,0.008482077,0.00002370186,0.00005640938,0.00013279499,0.00009004713],"about_ca_topic_score_codex":0.0009290478,"about_ca_topic_score_gemma":0.0010211489,"teacher_disagreement_score":0.015914053,"about_ca_system_score_codex":0.00004816791,"about_ca_system_score_gemma":0.000023756833,"threshold_uncertainty_score":0.60452807},"labels":[],"label_agreement":null},{"id":"W3006506256","doi":"10.3390/ijerph17041131","title":"Active and Fit Communities. Associations between Neighborhood Walkability and Health-Related Fitness in Adults","year":2020,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"Canadian Institutes of Health Research","keywords":"Walkability; Level design; Environmental health; Built environment; Community design; Physical activity; Health behavior; Gerontology; Geography; Psychology; Medicine; Ecology; Computer science; Biology","score_opus":0.15897454447801088,"score_gpt":0.4199915799109567,"score_spread":0.26101703543294585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3006506256","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88699543,0.0007400689,0.000010605929,0.1115987,0.000041231953,0.00017840955,0.00020805644,0.0000036959907,0.0002238207],"genre_scores_gemma":[0.99668497,0.0026771259,0.00002825222,0.00044136235,0.000115917486,0.0000021696387,0.000033271772,0.0000044687827,0.000012440789],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99756604,0.00067861535,0.00050896604,0.00013552501,0.00078502344,0.00032584372],"domain_scores_gemma":[0.9985042,0.000476834,0.00024097755,0.000049233637,0.00007921323,0.0006495102],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034483278,0.00006820483,0.00022421699,0.00013726861,0.00037731347,0.00011335739,0.0002495766,0.000067775785,0.00014718469],"category_scores_gemma":[0.00027155905,0.000064599895,0.000025158799,0.00015136854,0.0005543439,0.00061438855,0.0000971513,0.0006838322,8.5242027e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042333337,0.0001856503,0.90978426,0.000013512832,0.000030695322,0.0000032653538,0.026978623,2.7126333e-7,7.35558e-7,0.00027315048,0.000046684057,0.06264081],"study_design_scores_gemma":[0.0007815609,0.0002767369,0.9804139,0.000041528932,8.627876e-7,9.914189e-7,0.015554712,0.00003137588,7.7048907e-7,0.0019439979,0.0009075618,0.000045988265],"about_ca_topic_score_codex":0.00831009,"about_ca_topic_score_gemma":0.004581156,"teacher_disagreement_score":0.111157335,"about_ca_system_score_codex":0.00057411037,"about_ca_system_score_gemma":0.00053394004,"threshold_uncertainty_score":0.99829364},"labels":[],"label_agreement":null},{"id":"W3006593027","doi":"10.1177/0739456x20904428","title":"Livable Streets and Global Competitiveness: A Survey of Mexico City","year":2020,"lang":"en","type":"article","venue":"Journal of Planning Education and Research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Socioeconomic status; Equity (law); Urban planning; Economic growth; Regional science; Global city; Geography; Business; Political science; Sociology; Economics; Civil engineering; Engineering; Population","score_opus":0.19717325794756835,"score_gpt":0.4809766921894361,"score_spread":0.28380343424186777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3006593027","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9936902,0.0013713773,0.00003243898,0.0021214995,0.00009192537,0.000051839434,0.000010032418,0.0000022479742,0.0026284193],"genre_scores_gemma":[0.99953383,0.00010724767,0.00012460537,0.000040904302,0.0001126255,3.4439813e-7,0.000002179601,0.000001385425,0.0000768467],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998907,0.0003434037,0.0001792961,0.000077258155,0.0003800517,0.000112937756],"domain_scores_gemma":[0.9988365,0.00024301569,0.000103016544,0.000031601852,0.000600398,0.00018545713],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024405057,0.00003266541,0.00012000542,0.000046071105,0.00018509173,0.00005610393,0.000116191826,0.000039591207,0.00007359706],"category_scores_gemma":[0.00070838723,0.0000266932,0.000016031896,0.00033237462,0.0002592739,0.00015559662,0.000017539523,0.00017704221,3.445045e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058758756,0.00007965606,0.99029034,0.000030264546,0.000008111597,0.0000014602078,0.0072623445,0.0000013949665,0.000036307305,0.00017720483,0.00061614474,0.0014379842],"study_design_scores_gemma":[0.00011794436,0.000070102724,0.9913659,0.000076002936,0.0000034052919,6.032085e-7,0.0058454364,0.00000960254,0.000048602542,0.00030350778,0.0021323813,0.000026516343],"about_ca_topic_score_codex":0.004069058,"about_ca_topic_score_gemma":0.0004865774,"teacher_disagreement_score":0.0058436412,"about_ca_system_score_codex":0.000027974866,"about_ca_system_score_gemma":0.00091653265,"threshold_uncertainty_score":0.61512256},"labels":[],"label_agreement":null},{"id":"W3007184626","doi":"10.1016/j.rtbm.2020.100452","title":"Resilience of cities towards airport disruptions at global scale","year":2020,"lang":"en","type":"article","venue":"Research in Transportation Business & Management","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Natural Science Foundation of China","keywords":"Resilience (materials science); Port (circuit theory); Transport engineering; Business; Catchment area; Urban resilience; Scale (ratio); Environmental planning; Regional science; Geography; Civil engineering; Urban planning; Engineering; Drainage basin","score_opus":0.09036401741352708,"score_gpt":0.4010806801542568,"score_spread":0.31071666274072973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3007184626","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96861553,0.00016150736,0.0015918919,0.0062461086,0.00009346114,0.00069859833,0.00007836403,0.00005975293,0.022454796],"genre_scores_gemma":[0.9984151,0.00050990673,0.00044783985,0.000042683005,0.000062059866,0.000050481394,0.000082169034,0.000007686924,0.00038203524],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99708706,0.000116473486,0.0005046691,0.00040941758,0.0013838172,0.00049858267],"domain_scores_gemma":[0.9991037,0.000043325454,0.00008578977,0.00020200528,0.00038123992,0.00018389973],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015566667,0.00011047193,0.00020310926,0.00013611923,0.00033313833,0.000043397857,0.0004604036,0.00006689864,0.00030607946],"category_scores_gemma":[0.000032847456,0.0001145056,0.00006548437,0.002936965,0.000722577,0.00053454796,0.000023318222,0.00012907597,0.00001560188],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020490935,0.00018758146,0.96248066,0.0006019019,0.000016519742,0.00008685007,0.0068845516,0.0004543567,0.000053480722,0.013200051,0.00025415476,0.0155749945],"study_design_scores_gemma":[0.00032246756,0.000012028634,0.9878976,0.00008796841,0.000013779165,2.683703e-8,0.0055232584,0.000014377864,0.000072074676,0.0018094794,0.004138667,0.00010828268],"about_ca_topic_score_codex":0.006676676,"about_ca_topic_score_gemma":0.046165556,"teacher_disagreement_score":0.039488878,"about_ca_system_score_codex":0.00025564793,"about_ca_system_score_gemma":0.00019501928,"threshold_uncertainty_score":0.99993795},"labels":[],"label_agreement":null},{"id":"W3008134522","doi":"10.1016/j.jth.2020.100837","title":"Factors affecting parental safety perception, satisfaction with school travel and mood in primary school children in the Netherlands","year":2020,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":60,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Perception; Mood; Psychology; Travel behavior; Applied psychology; Social psychology; Transport engineering; Engineering","score_opus":0.021129919260028787,"score_gpt":0.28763605930124414,"score_spread":0.26650614004121537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3008134522","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9943366,0.00020080146,0.0002532769,0.0045121764,0.00005042643,0.0004092085,0.000012901738,0.000009990091,0.00021463957],"genre_scores_gemma":[0.99860895,0.0003535599,0.0001257162,0.0006642393,0.00022062738,0.0000012789429,0.000013180187,0.000009448469,0.0000030195476],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981693,0.00024509564,0.0006343183,0.00018427616,0.00048735255,0.00027964462],"domain_scores_gemma":[0.9992137,0.000057568934,0.0003090263,0.00006792243,0.00003740151,0.00031440752],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001562258,0.00013584377,0.00036034026,0.000085238105,0.0002642053,0.000034911925,0.00016814812,0.00007718394,0.00009469575],"category_scores_gemma":[0.000024266243,0.00008644576,0.0000757599,0.00038661313,0.00009246851,0.0005475829,0.0000020591274,0.0007177204,4.4448575e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021042017,0.000063533495,0.9656894,0.00004611127,0.000011054627,0.000005457726,0.03218167,0.00002789121,0.000018335157,0.0000030244369,0.000013909404,0.0017291702],"study_design_scores_gemma":[0.001053457,0.0002599411,0.9813337,0.00011702569,0.000016917718,0.0000038234675,0.01708142,0.000002561271,0.0000014787086,0.000023008548,0.000014979986,0.0000917313],"about_ca_topic_score_codex":0.008138573,"about_ca_topic_score_gemma":0.05363215,"teacher_disagreement_score":0.04549358,"about_ca_system_score_codex":0.00026259958,"about_ca_system_score_gemma":0.0007344162,"threshold_uncertainty_score":0.9984663},"labels":[],"label_agreement":null},{"id":"W3008560938","doi":"10.1136/bmjopen-2019-036602","title":"Physical activity trails in an urban setting and cardiovascular disease morbidity and mortality in Winnipeg, Manitoba, Canada: a study protocol for a natural experiment","year":2020,"lang":"en","type":"article","venue":"BMJ Open","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Winnipeg; University of Manitoba; Public Health Ontario; University of Toronto","funders":"Canadian Institutes of Health Research; Heart and Stroke Foundation of Canada","keywords":"Medicine; Gerontology; Protocol (science); Disease; Epidemiology; Public health; Environmental health; Alternative medicine; Pathology","score_opus":0.15024191212540652,"score_gpt":0.43712542573215085,"score_spread":0.28688351360674436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3008560938","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7829241,0.000008298198,0.0000022052316,0.00023525518,0.0000151909935,0.21674064,0.00001909304,0.000009130411,0.000046055848],"genre_scores_gemma":[0.83524483,5.936364e-8,0.00002139159,0.000043908527,0.00012406132,0.16455366,0.0000023351529,0.0000059527583,0.000003784868],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983307,0.00035531755,0.00017365595,0.0005156919,0.00037874063,0.00024586997],"domain_scores_gemma":[0.99942356,0.0000386815,0.000052003736,0.00021945674,0.000026711967,0.00023957956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084458914,0.00012886722,0.00034667953,0.000013368162,0.00018304795,0.00016476773,0.0002720156,0.000026250867,0.000004312736],"category_scores_gemma":[0.0000862949,0.00011747096,0.000050297273,0.0001457731,0.00008577798,0.00063732173,0.00011157293,0.00012750506,5.1843767e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038371928,0.00042659647,0.98489153,0.00008785775,0.000030775238,0.00004769259,0.012372328,0.0000053272697,0.000029810837,0.000010142614,0.000034363045,0.0016798435],"study_design_scores_gemma":[0.0017954402,0.00006147618,0.9892683,0.000023189998,0.000024955743,3.227374e-8,0.007567038,0.00082261086,0.00005267865,0.000046742935,0.00016631446,0.00017124224],"about_ca_topic_score_codex":0.7548052,"about_ca_topic_score_gemma":0.9520168,"teacher_disagreement_score":0.19721153,"about_ca_system_score_codex":0.000119467215,"about_ca_system_score_gemma":0.0006835384,"threshold_uncertainty_score":0.47903267},"labels":[],"label_agreement":null},{"id":"W3008649628","doi":"10.32866/001c.11900","title":"Should I Bike or Should I Drive? Comparative Analysis of Travel Speeds in Montreal","year":2020,"lang":"en","type":"article","venue":"Findings","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Downtown; Transport engineering; Mode (computer interface); Travel time; Significant difference; Cycling; Geography; Statistics; Engineering; Mathematics; Computer science; Forestry","score_opus":0.1422606373481327,"score_gpt":0.37053121728715066,"score_spread":0.22827057993901795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3008649628","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97956944,0.000029113538,0.00011536181,0.0014026078,0.000039753162,0.00016988808,0.00006342088,0.000025437392,0.018584974],"genre_scores_gemma":[0.99885714,0.000010189604,0.00009526113,0.00021914486,0.00005896625,0.0000041975813,0.000023727336,0.0000039209167,0.0007274709],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986761,0.00006257435,0.000341348,0.000288663,0.0003771088,0.00025420098],"domain_scores_gemma":[0.99949527,0.000115732015,0.00009464147,0.000104627405,0.000052155312,0.00013755298],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002984156,0.00011420912,0.0004925003,0.00019631973,0.0001030633,0.000031232063,0.00031644118,0.000115867086,0.0015497275],"category_scores_gemma":[0.0000607465,0.00009473458,0.00016963929,0.0025809628,0.00023457232,0.00020783093,0.000018961688,0.00017666857,0.000012891552],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009900612,0.0000834778,0.90690327,0.000010642894,0.00013794261,0.000009814435,0.09094653,0.00004124372,0.00038999037,0.00052154734,0.0006075731,0.00024893894],"study_design_scores_gemma":[0.00027271506,0.000043649263,0.9893129,0.000008873849,0.0002259388,1.2410821e-8,0.007572602,0.0006166999,0.0008863711,0.00011165204,0.00082337565,0.0001252236],"about_ca_topic_score_codex":0.011569446,"about_ca_topic_score_gemma":0.09530617,"teacher_disagreement_score":0.083736725,"about_ca_system_score_codex":0.000048675014,"about_ca_system_score_gemma":0.00008466503,"threshold_uncertainty_score":0.999363},"labels":[],"label_agreement":null},{"id":"W3008868703","doi":"10.1007/s11116-020-10089-w","title":"Longitudinal analysis of activity generation in the Greater Toronto and Hamilton Area","year":2020,"lang":"en","type":"article","venue":"Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"TRIPS architecture; Work (physics); Population; Travel survey; Trip generation; Econometrics; Geography; Travel behavior; Statistics; Transport engineering; Engineering; Demography; Mathematics; Sociology","score_opus":0.07509950263459518,"score_gpt":0.3129379385569981,"score_spread":0.2378384359224029,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3008868703","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99789864,0.00004675654,0.0010588914,0.00046725004,0.000012141328,0.00012539956,0.000018289493,0.00000937145,0.00036326898],"genre_scores_gemma":[0.99976003,0.000030922332,0.0000363352,0.00005298449,0.00003267106,0.000005814861,0.0000722459,0.0000017295112,0.000007258129],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994016,0.000056087716,0.00013925109,0.00014389334,0.00018403507,0.00007507879],"domain_scores_gemma":[0.9998128,0.000018866134,0.000053062828,0.000058191326,0.000028828537,0.00002829534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023449649,0.00004850292,0.00011933973,0.00002266769,0.000072377516,0.000016287633,0.00006545218,0.0000382015,0.00012760227],"category_scores_gemma":[0.000004583901,0.00003729698,0.000049828286,0.0003508062,0.00006402552,0.00032009426,3.134825e-7,0.000037193837,1.9263966e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026487642,0.000022397378,0.92800456,0.000007919786,0.000029091312,0.0000014064245,0.070189215,0.000111621586,0.0007249807,0.00022686423,0.0000063377784,0.0006491244],"study_design_scores_gemma":[0.00009969042,0.000016093154,0.99715567,0.0000014029698,0.00021194873,3.4016994e-9,0.0012904844,0.00087875087,0.00023277284,0.000018646952,0.00005312582,0.00004138811],"about_ca_topic_score_codex":0.014273205,"about_ca_topic_score_gemma":0.37686163,"teacher_disagreement_score":0.36258844,"about_ca_system_score_codex":0.000017819642,"about_ca_system_score_gemma":0.000016805436,"threshold_uncertainty_score":0.99229085},"labels":[],"label_agreement":null},{"id":"W3010755929","doi":"10.1177/0361198120911053","title":"Importance of Automobile Mode Share in Understanding the Full Impact of Urban Form on Work-Based Vehicle Distance Traveled","year":2020,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Vehicle miles of travel; Work (physics); Transport engineering; Sustainability; Land use; Plan (archaeology); Mode (computer interface); Transportation planning; Business; Geography; Engineering; Civil engineering; Computer science; Ecology; Archaeology","score_opus":0.15135851564616248,"score_gpt":0.42136573373903097,"score_spread":0.2700072180928685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3010755929","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99202037,0.00014176077,0.001925257,0.004136627,0.00010001262,0.0012387171,0.00021124636,0.000017634513,0.0002083661],"genre_scores_gemma":[0.99944216,0.00012862228,0.00014730464,0.000040186715,0.00010086302,0.000039500082,0.00002006569,0.000033629574,0.000047697282],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99215925,0.0011255422,0.0016995567,0.00039971975,0.0037807066,0.000835219],"domain_scores_gemma":[0.995378,0.0014593503,0.0007938559,0.00043002557,0.0015612768,0.00037745564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004687168,0.00023229816,0.000589569,0.00046738522,0.0005458255,0.00007068758,0.0015327899,0.0001699983,0.00044652654],"category_scores_gemma":[0.0003203763,0.00015306969,0.000659418,0.0040450185,0.0013300878,0.00058460975,0.000004269389,0.0018363815,0.0000023346872],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0046412814,0.00031178893,0.9645874,0.00021312248,0.00007590101,0.000032330736,0.019785212,0.0056514065,0.0011584746,0.002230003,0.00071910274,0.0005940015],"study_design_scores_gemma":[0.0016259495,0.0008485132,0.98644555,0.00048913667,0.000031068677,1.3953608e-8,0.0049839243,0.00063676137,0.0007136355,0.0038740104,0.00019765657,0.00015379186],"about_ca_topic_score_codex":0.010993152,"about_ca_topic_score_gemma":0.12570445,"teacher_disagreement_score":0.11471131,"about_ca_system_score_codex":0.00065594784,"about_ca_system_score_gemma":0.0016844656,"threshold_uncertainty_score":0.9955927},"labels":[],"label_agreement":null},{"id":"W3011408043","doi":"10.21083/ruralreview.v3i1.6007","title":"Exchanging Locally Informed Recreational Trail Development Practices to Build a Better Trans Canada Trail","year":2019,"lang":"en","type":"article","venue":"Rural Review Ontario Rural Planning Development and Policy","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Recreation; Salience (neuroscience); Geography; Environmental planning; Citizen journalism; Participatory action research; Participatory planning; Environmental resource management; Political science; Sociology; Computer science","score_opus":0.03171958519390725,"score_gpt":0.32285443486233334,"score_spread":0.29113484966842607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3011408043","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97618824,0.0028653843,0.00003824775,0.010667594,0.00020933324,0.0009715126,0.000006601285,0.00005214706,0.009000918],"genre_scores_gemma":[0.96131724,0.00081308,0.0056790295,0.013797814,0.00033685763,0.00013738233,0.00031746188,0.000028428942,0.017572705],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99745154,0.00006551205,0.00070977607,0.00030037554,0.0007466978,0.0007261163],"domain_scores_gemma":[0.9988864,0.00015052337,0.00031466037,0.00013965352,0.000100167046,0.00040856993],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00075831154,0.00032033114,0.0004813321,0.00013399307,0.0006204549,0.00014527843,0.00033969287,0.00009550883,0.00078366627],"category_scores_gemma":[0.00013811483,0.000273131,0.00006644194,0.0004262299,0.000053699503,0.00062765245,0.000029223609,0.00027440948,0.00003939582],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008975502,0.000039073817,0.7329273,0.0009869562,0.00013927177,0.000015943388,0.09266234,0.000007903938,0.000041177715,0.00040698342,0.007041649,0.1656416],"study_design_scores_gemma":[0.0002160399,0.000013741678,0.3693379,0.0020511583,0.000020813548,0.000001592052,0.00093543035,5.915064e-7,0.00003406767,0.000019673396,0.62704366,0.00032533315],"about_ca_topic_score_codex":0.72260314,"about_ca_topic_score_gemma":0.97149277,"teacher_disagreement_score":0.62000203,"about_ca_system_score_codex":0.0012740602,"about_ca_system_score_gemma":0.012462009,"threshold_uncertainty_score":0.9999721},"labels":[],"label_agreement":null},{"id":"W3011518889","doi":"10.1155/2020/7538508","title":"Mass Rapid Transit Ridership Forecast Based on Direct Ridership Models: A Case Study in Wuhan, China","year":2020,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Multicollinearity; Ordinary least squares; Transport engineering; Transit (satellite); Principal component analysis; Regression analysis; Linkage (software); Multivariate statistics; Econometrics; Computer science; Statistics; Public transport; Engineering; Mathematics","score_opus":0.06334723768795353,"score_gpt":0.30792067367844106,"score_spread":0.24457343599048753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3011518889","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9904014,0.00017992573,0.0053397827,0.0020624138,0.00021198363,0.0006417247,0.00001820281,0.000041688785,0.0011028638],"genre_scores_gemma":[0.9987549,0.00004160194,0.0007995039,0.00015993467,0.00018518331,0.000011676172,0.000009279176,0.00002394025,0.000013980023],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9974346,0.0002614031,0.0008975076,0.0003255691,0.00074585475,0.00033506172],"domain_scores_gemma":[0.99882424,0.00016419988,0.00042757674,0.00013029904,0.00016449153,0.00028917773],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010331351,0.00021895717,0.00046669476,0.00020434977,0.0002037974,0.000047612804,0.0002408053,0.00010029193,0.00010951238],"category_scores_gemma":[0.00006584954,0.00020459131,0.00025098125,0.0007427641,0.00008883222,0.0012394727,5.4112036e-7,0.00047009406,9.689849e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0036051024,0.0011669984,0.21609378,0.00017572325,0.00007029392,0.004205836,0.20524332,0.5576003,0.00021135474,0.000115669456,0.000022798546,0.011488831],"study_design_scores_gemma":[0.019581983,0.0067003137,0.7203682,0.00064320274,0.00064001005,0.00000944131,0.23163953,0.011560413,0.0008518049,0.0060859383,0.00056633085,0.0013528006],"about_ca_topic_score_codex":0.0006229072,"about_ca_topic_score_gemma":0.016931582,"teacher_disagreement_score":0.5460399,"about_ca_system_score_codex":0.00011304655,"about_ca_system_score_gemma":0.00024711897,"threshold_uncertainty_score":0.944822},"labels":[],"label_agreement":null},{"id":"W3011600274","doi":"10.3390/ijerph17061910","title":"The Association of Active Living Environments and Mental Health: A Canadian Epidemiological Analysis","year":2020,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"Canadian Institutes of Health Research","keywords":"Mental health; Marital status; Anxiety; Mood; Epidemiology; Public health; Logistic regression; Medicine; Depression (economics); Association (psychology); Psychiatry; Environmental health; Gerontology; Psychology; Population","score_opus":0.09788413950992132,"score_gpt":0.4115968474677613,"score_spread":0.31371270795784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3011600274","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7968417,0.001255085,0.000057275953,0.20124069,0.00006713308,0.0001376557,0.00012130458,0.0000013319716,0.00027784245],"genre_scores_gemma":[0.9893385,0.009502432,0.00004747391,0.000890309,0.00012328546,0.0000014063867,0.000010490196,0.0000025482461,0.00008351439],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971084,0.00089600804,0.00043377903,0.00013404436,0.0010374062,0.00039033804],"domain_scores_gemma":[0.9978258,0.00079926226,0.00038536507,0.00004213561,0.0000380067,0.00090944266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006489569,0.00005598584,0.00020055335,0.0001489873,0.000611992,0.000080888516,0.00028771054,0.000047766523,0.00015888042],"category_scores_gemma":[0.0010417264,0.000040989835,0.000066495166,0.00017433119,0.00039706365,0.00027528114,0.000058225192,0.0003237687,0.0000013054914],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032667875,0.00009460968,0.94941634,0.0000026849602,0.00025277768,0.000001710429,0.0064027077,8.0997273e-7,0.000017050152,0.0003583743,0.00042424773,0.042996034],"study_design_scores_gemma":[0.00014554813,0.00020508486,0.9329545,0.000008156704,0.0000035159721,4.1281618e-7,0.0064679347,0.00003480566,0.0000018347222,0.00023251392,0.05991522,0.000030484616],"about_ca_topic_score_codex":0.02370211,"about_ca_topic_score_gemma":0.046400562,"teacher_disagreement_score":0.20035039,"about_ca_system_score_codex":0.0012362518,"about_ca_system_score_gemma":0.0006125104,"threshold_uncertainty_score":0.9827992},"labels":[],"label_agreement":null},{"id":"W3011774154","doi":"10.1016/j.erss.2020.101486","title":"The political economy of car dependence: A systems of provision approach","year":2020,"lang":"en","type":"article","venue":"Energy Research & Social Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":595,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Leverhulme Trust","keywords":"Politics; Argument (complex analysis); Automotive industry; Underpinning; Economic system; Urban sprawl; Business; Industrial organization; Economics; Political science; Engineering; Urban planning","score_opus":0.09362298784987179,"score_gpt":0.39930414056415403,"score_spread":0.30568115271428226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3011774154","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26439553,0.0005400432,0.00086648867,0.010065417,0.00019764705,0.0005916045,0.000015269203,0.00005051834,0.7232775],"genre_scores_gemma":[0.9994011,0.000010334318,0.000033047647,0.000047027494,0.00031563677,0.000023367236,8.443373e-7,0.000004243739,0.00016442031],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.9962909,0.00050149736,0.0003107691,0.00035486347,0.0017457156,0.00079624],"domain_scores_gemma":[0.9983442,0.0003169464,0.00009677923,0.00016901328,0.00070906524,0.0003640352],"candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.004855238,0.00006875954,0.00018573627,0.0000572089,0.0019635817,0.00016121338,0.0014886787,0.0000838303,0.000011796597],"category_scores_gemma":[0.00074942125,0.000048657406,0.00007614207,0.0017268042,0.00774567,0.00038589558,0.00015789227,0.00023477455,0.0000014824956],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020295554,0.00004285047,0.008616047,0.00002699138,0.0000038998455,7.09564e-7,0.004967385,0.00000214607,0.0010608578,0.9840769,0.00011601272,0.001065912],"study_design_scores_gemma":[0.001763503,0.0011682113,0.081563815,0.0001554689,0.00005862081,0.0000011470663,0.4727581,0.00920213,0.036071427,0.23487377,0.16101088,0.0013729106],"about_ca_topic_score_codex":0.010422526,"about_ca_topic_score_gemma":0.00033232805,"teacher_disagreement_score":0.74920315,"about_ca_system_score_codex":0.00015331253,"about_ca_system_score_gemma":0.0020819334,"threshold_uncertainty_score":0.9993357},"labels":[],"label_agreement":null},{"id":"W3012074571","doi":"","title":"Comparative Analysis of Geographic Accessibility of Dentists, Physiotherapists and Family Physicians in an Urban Centre: A Case Study of Saskatoon, Canada.","year":2019,"lang":"en","type":"article","venue":"PubMed","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Population; Catchment area; Neighbourhood (mathematics); Metropolitan area; Medicine; Geography; Census; Health services; Family medicine; Type of service; Health care; Service (business); Environmental health; Business; Cartography; Drainage basin","score_opus":0.02305684910831383,"score_gpt":0.29261007636477915,"score_spread":0.2695532272564653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3012074571","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998401,0.00019579982,9.968674e-7,0.000011850743,0.000050376737,0.0010623722,0.00007752913,0.0000068224913,0.0001932448],"genre_scores_gemma":[0.99988246,0.000003902067,0.000004771011,0.000011461866,0.0000092824,0.000036111443,0.000007916379,0.0000038200365,0.00004025018],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981674,0.00031883872,0.00048540527,0.00035759763,0.00041305326,0.00025768575],"domain_scores_gemma":[0.9989448,0.00008719375,0.00036659001,0.00034054343,0.00017416468,0.00008671733],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005308954,0.00011672242,0.00068884174,0.000197163,0.000057397378,0.000017667533,0.00024816472,0.000042975338,0.000015242971],"category_scores_gemma":[0.000008846327,0.00011161609,0.000081346254,0.0016458494,0.00028374398,0.00030181283,0.000021223965,0.00007625377,2.5063983e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000506955,0.0011843921,0.9729705,0.00006299725,0.00029104436,0.0000105525105,0.024415795,0.000019576648,0.00008591442,0.00001053916,0.000006140461,0.0008918512],"study_design_scores_gemma":[0.0005580652,0.000025308422,0.9625163,0.0000073490805,0.00017417931,4.2993708e-8,0.036445882,0.000069615155,0.00008167487,0.000018817984,0.00000547659,0.00009729429],"about_ca_topic_score_codex":0.8720981,"about_ca_topic_score_gemma":0.9961131,"teacher_disagreement_score":0.12401503,"about_ca_system_score_codex":0.00006288067,"about_ca_system_score_gemma":0.00014643285,"threshold_uncertainty_score":0.4551572},"labels":[],"label_agreement":null},{"id":"W3012140645","doi":"10.1155/2020/7264860","title":"Analyzing Household Vehicle Ownership in the Japanese Local City: Case Study in Toyota City","year":2020,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Truck; Ordered probit; Car ownership; Sample (material); Markov chain Monte Carlo; Probit model; Markov chain; Probit; Population; Demographic economics; Business; Econometrics; Transport engineering; Automotive engineering; Statistics; Economics; Monte Carlo method; Engineering; Mathematics; Demography; Public transport; Sociology","score_opus":0.06476576331708933,"score_gpt":0.3255951039092763,"score_spread":0.260829340592187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3012140645","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99770975,0.000120971,0.00028692523,0.0014118295,0.00009160274,0.0003094578,0.000005034539,0.000012893924,0.000051541196],"genre_scores_gemma":[0.99957156,0.000020158375,0.00008771676,0.00017495516,0.00012758814,0.0000042659094,0.0000025759332,0.000007294992,0.0000038952535],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982239,0.00021295407,0.00068522553,0.00018064605,0.00047958072,0.00021771716],"domain_scores_gemma":[0.9992838,0.0001304243,0.00028824864,0.00009668827,0.00008793177,0.000112924434],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013426588,0.00010870098,0.00025992686,0.00010298544,0.00013702892,0.000040788567,0.00027055255,0.000061780636,0.000024117602],"category_scores_gemma":[0.00006484499,0.00008116754,0.00010302372,0.0009788633,0.00009987334,0.0008664306,0.0000014396234,0.0004703126,2.8475287e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017254424,0.00026135799,0.8447822,0.000011802421,0.000009229378,0.0026874975,0.14325711,0.0066113207,0.000046187488,0.000011875224,0.0000023929383,0.002146537],"study_design_scores_gemma":[0.0011549406,0.00014429333,0.8295968,0.000021712292,0.00003981111,0.000004008509,0.16870946,0.000022271242,0.000021076736,0.00013946816,0.000058526657,0.000087618646],"about_ca_topic_score_codex":0.0031721937,"about_ca_topic_score_gemma":0.09183471,"teacher_disagreement_score":0.08866251,"about_ca_system_score_codex":0.00008497688,"about_ca_system_score_gemma":0.000110510664,"threshold_uncertainty_score":0.9247369},"labels":[],"label_agreement":null},{"id":"W3012972398","doi":"","title":"Walking the dog: Independent mobility's best friend?","year":2019,"lang":"en","type":"article","venue":"Journal of Exercise, Movement, and Sport (SCAPPS refereed abstracts repository)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Lethbridge; Université du Québec à Trois-Rivières; Children's Hospital of Eastern Ontario; University of British Columbia","funders":"","keywords":"Demographics; Psychological intervention; Demography; Physical activity; Psychology; Medicine; Physical therapy; Nursing; Sociology","score_opus":0.014038889327856357,"score_gpt":0.26416127008814144,"score_spread":0.2501223807602851,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3012972398","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96099734,0.0011710072,0.000006558571,0.00024537256,0.001347239,0.0005760792,0.000003465497,0.000024761484,0.035628147],"genre_scores_gemma":[0.992077,0.00077457615,0.00007683439,0.00008635366,0.00054199965,0.000007279764,0.0000027746391,0.000021303895,0.0064118826],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9964032,0.00005843684,0.0013320023,0.00040075005,0.0012983166,0.00050727185],"domain_scores_gemma":[0.99739575,0.000088989844,0.0012683487,0.00046853448,0.00041849454,0.00035988257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021595757,0.00028103948,0.00059087726,0.00014820576,0.0006700534,0.00034926063,0.0006756677,0.00023285575,0.0002310001],"category_scores_gemma":[0.000034695502,0.0001896167,0.00028340478,0.0002496969,0.0002728352,0.0009313239,0.00006185352,0.00068320084,0.000013743417],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025872744,0.00067625655,0.98410594,0.00012490201,0.00012079648,0.00016412906,0.0057079163,0.000042397987,0.003573297,0.000638986,0.00043750223,0.0041491156],"study_design_scores_gemma":[0.00074301346,0.00015598591,0.97221106,0.00030704678,0.00016565922,0.000008626564,0.009409125,0.000004219073,0.0020560555,0.000990174,0.013661223,0.00028779943],"about_ca_topic_score_codex":0.0020641398,"about_ca_topic_score_gemma":0.0003875125,"teacher_disagreement_score":0.031079626,"about_ca_system_score_codex":0.00016326248,"about_ca_system_score_gemma":0.00033949508,"threshold_uncertainty_score":0.7732344},"labels":[],"label_agreement":null},{"id":"W3013130987","doi":"10.1136/bmjopen-2019-034690","title":"Neighbourhood effects on obesity: scoping review of time-varying outcomes and exposures in longitudinal designs","year":2020,"lang":"en","type":"article","venue":"BMJ Open","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; Université Laval; Montreal Heart Institute","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Fondation Institut Universitaire de Cardiologie et de Pneumologie de Québec","keywords":"Neighbourhood (mathematics); Medicine; Typology; Observational study; Socioeconomic status; Clinical study design; Obesity; Longitudinal study; Environmental health; Context (archaeology); Gerontology; Population; Geography; Pathology; Clinical trial","score_opus":0.14630064433708195,"score_gpt":0.4325305289917937,"score_spread":0.2862298846547117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3013130987","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95830125,0.0042371997,0.000092205606,0.0051719793,0.000079395424,0.01094848,0.00000471741,0.00003750872,0.021127297],"genre_scores_gemma":[0.9978082,0.00035803588,0.00029748696,0.0013347137,0.000050135535,0.0000929491,0.0000026610846,0.000005947557,0.000049858583],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99884635,0.00023180679,0.00028896664,0.00023360939,0.00024014228,0.00015912663],"domain_scores_gemma":[0.9993701,0.00026757433,0.00011947685,0.00012912742,0.000024807287,0.00008892184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011635264,0.000087363325,0.0004145746,0.000021828175,0.000111248104,0.000067315545,0.00033935628,0.0000384251,0.00024358042],"category_scores_gemma":[0.00046185698,0.00007381922,0.00004552384,0.0002130887,0.000058903417,0.00030178737,0.00009182113,0.000076441596,0.000011974679],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029528966,0.000033049902,0.99109864,0.0054223365,0.0000081303115,0.000014176281,0.00105732,7.7905594e-7,0.000032212494,0.000101347374,0.000057692927,0.0021447756],"study_design_scores_gemma":[0.0005261918,0.00011023883,0.9511771,0.047148116,0.000026828015,9.921301e-8,0.000060281778,0.000007938868,0.00055808295,0.00021293279,0.000013541628,0.00015860115],"about_ca_topic_score_codex":0.0011039206,"about_ca_topic_score_gemma":0.0009066978,"teacher_disagreement_score":0.041725777,"about_ca_system_score_codex":0.000016610866,"about_ca_system_score_gemma":0.00016603849,"threshold_uncertainty_score":0.30102602},"labels":[],"label_agreement":null},{"id":"W3013181639","doi":"10.23912/9781911396734-4242","title":"Sustainable Tourism Policy Frameworks","year":2019,"lang":"en","type":"book-chapter","venue":"Goodfellow Publishers eBooks","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Montreal Protocol; Ratification; Tourism; Sustainable tourism; European union; Ozone layer; Sustainability; Political science; Business; Environmental planning; International trade; Geography; Meteorology; Politics; Law","score_opus":0.014007839271473616,"score_gpt":0.26274023498710714,"score_spread":0.24873239571563352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3013181639","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000279461,0.00036954726,0.000062581494,0.0020441096,0.0012403204,0.0011859562,0.00002625167,0.0004209355,0.9943708],"genre_scores_gemma":[0.026259169,0.000014569422,0.00011821057,0.0013345852,0.003037581,0.000020828229,0.000085179876,0.00014220808,0.96898764],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99566334,0.000076101875,0.0006468516,0.0010287983,0.0011740993,0.0014108177],"domain_scores_gemma":[0.99716437,0.000172562,0.00046552683,0.001153229,0.00049503887,0.0005492967],"candidate_categories":["metaepi_narrow","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0011057702,0.000632779,0.0007876118,0.00054666144,0.0007579541,0.0020504524,0.0015625032,0.0032418538,0.0034568068],"category_scores_gemma":[0.00017099122,0.000658691,0.0006051303,0.00011458214,0.0009360849,0.0013396557,0.00019001872,0.0025736517,0.00034933828],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000313643,0.000029749559,0.00067133777,0.00015557316,0.00015332525,0.00017170909,0.0036225615,0.0000013225556,9.813223e-7,0.7886677,0.19234797,0.014146427],"study_design_scores_gemma":[0.0002314278,0.00003228266,0.00007384747,0.00008382931,0.00007325345,3.1305896e-7,0.001187668,8.095412e-7,0.000003306806,0.18400832,0.8136871,0.00061788847],"about_ca_topic_score_codex":0.011168362,"about_ca_topic_score_gemma":0.002399999,"teacher_disagreement_score":0.6213391,"about_ca_system_score_codex":0.00078627485,"about_ca_system_score_gemma":0.0042544133,"threshold_uncertainty_score":0.9997274},"labels":[],"label_agreement":null},{"id":"W3013380463","doi":"10.1136/bmjopen-2019-034899","title":"Built environment changes and active transport to school among adolescents: BEATS Natural Experiment Study protocol","year":2020,"lang":"en","type":"article","venue":"BMJ Open","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Division of Sciences, University of Otago; University of Otago; Lottery Health Research; Health Research Council of New Zealand; Dunedin City Council; National Heart Foundation of New Zealand","keywords":"Built environment; Medicine; Natural experiment; Citizen science; Ecology","score_opus":0.0875966767475719,"score_gpt":0.4216905976117167,"score_spread":0.3340939208641448,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3013380463","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6975061,0.0000045385173,0.000008900221,0.0017370265,0.000037013568,0.29957214,0.00000812791,0.000029357865,0.0010967758],"genre_scores_gemma":[0.8210934,4.7218796e-7,0.00007579037,0.00049790903,0.00016285329,0.17784701,0.0000028970467,0.000010126654,0.00030955265],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99839973,0.00012406053,0.00021792509,0.0005057305,0.00048110195,0.00027146135],"domain_scores_gemma":[0.9992623,0.000007777012,0.000080874386,0.00021307552,0.0000215825,0.00041442382],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004134258,0.0001572937,0.00024696058,0.000021764614,0.00030082383,0.00013226864,0.0005931517,0.00004904397,0.0005158811],"category_scores_gemma":[0.000024418794,0.0001352883,0.000033741253,0.00013312444,0.00011064384,0.00045942358,0.0001651766,0.00012381132,0.000023520592],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000694194,0.00035859013,0.95321,0.00003569756,0.000023985154,0.000019472287,0.042356107,0.0000012489851,0.0002451863,0.000003637754,0.00019593703,0.002855969],"study_design_scores_gemma":[0.0012224398,0.00030612902,0.9745749,0.00006591719,0.000017550508,3.6855194e-8,0.015601701,0.0000027308208,0.00096142496,0.000010773329,0.007008596,0.0002277843],"about_ca_topic_score_codex":0.0043100216,"about_ca_topic_score_gemma":0.012481789,"teacher_disagreement_score":0.123587266,"about_ca_system_score_codex":0.00009089091,"about_ca_system_score_gemma":0.0000948338,"threshold_uncertainty_score":0.6965131},"labels":[],"label_agreement":null},{"id":"W3013509586","doi":"10.1109/icnc47757.2020.9049768","title":"Road Importance Using Complex-Networks, Graph Reduction &amp; Interpolation","year":2020,"lang":"en","type":"article","venue":"2020 International Conference on Computing, Networking and Communications (ICNC)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"TRIPS architecture; Centrality; Transport engineering; Computer science; Walkability; Graph; Interpolation (computer graphics); Geography; Artificial intelligence; Engineering; Mathematics; Theoretical computer science; Built environment; Civil engineering","score_opus":0.18784953713597535,"score_gpt":0.3765239170284224,"score_spread":0.18867437989244706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3013509586","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7288826,0.0019167311,0.11493189,0.04056145,0.002997685,0.0010846078,0.00003994966,0.0008706857,0.10871441],"genre_scores_gemma":[0.9922353,0.00081075716,0.004925652,0.0005561234,0.0011371404,0.0000065912045,0.00022066002,0.000015979604,0.00009180623],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99813664,0.00029790823,0.00050414755,0.00042883112,0.00035466542,0.00027778535],"domain_scores_gemma":[0.99856853,0.00010306868,0.00039131503,0.00047603252,0.00028782507,0.00017320339],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005281547,0.00019031826,0.0002239205,0.00007167244,0.0010994198,0.0003324801,0.0010669325,0.000109930006,0.0002527236],"category_scores_gemma":[0.000058700236,0.00021250309,0.00009299337,0.00047267912,0.00043831937,0.00025063838,0.00023107474,0.0004636788,0.000011067341],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003904187,0.0006129909,0.54156464,0.000049482813,0.000469354,0.0000073658675,0.032131888,0.009135836,0.0011699529,0.25931138,0.009588243,0.14556846],"study_design_scores_gemma":[0.0003960644,0.00004640241,0.032443408,0.00020728621,0.00004512734,0.0000033057809,0.0018715255,0.9225244,0.000002683915,0.0042886785,0.037741605,0.0004295375],"about_ca_topic_score_codex":0.0007647671,"about_ca_topic_score_gemma":0.0009442699,"teacher_disagreement_score":0.91338855,"about_ca_system_score_codex":0.000092219576,"about_ca_system_score_gemma":0.00010781553,"threshold_uncertainty_score":0.8665625},"labels":[],"label_agreement":null},{"id":"W3013711141","doi":"10.1016/j.tra.2020.03.020","title":"Weather, travel mode choice, and impacts on subway ridership in Beijing","year":2020,"lang":"en","type":"article","venue":"Transportation Research Part A Policy and Practice","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":130,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"China Scholarship Council; National Natural Science Foundation of China","keywords":"Beijing; Recreation; Transport engineering; Environmental science; Adverse weather; Meteorology; Geography; Engineering","score_opus":0.23898461381868538,"score_gpt":0.49801369232362636,"score_spread":0.25902907850494095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3013711141","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91353697,0.000243871,0.00004212103,0.06461881,0.000020982825,0.00045402342,0.000045286382,0.000035311183,0.021002604],"genre_scores_gemma":[0.99677736,0.0011671741,0.000059422815,0.0013088345,0.0003304105,0.000023991744,0.00001826179,0.000011859313,0.00030267195],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975695,0.0006903784,0.00026723585,0.0003597497,0.00060943683,0.00050367793],"domain_scores_gemma":[0.9966269,0.002652943,0.000069195565,0.000101230435,0.00011610999,0.00043361087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023600904,0.00011482425,0.00016977498,0.00015650327,0.00045017616,0.00013932,0.00013059095,0.0001156831,0.000098208395],"category_scores_gemma":[0.0027703086,0.000112327274,0.000030250334,0.00080170715,0.00035756273,0.0010319237,0.0000032719602,0.0005417023,0.000010366934],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018519969,0.0004318323,0.6496557,0.00030192197,0.000058246867,0.00006810737,0.22555088,0.00006303971,0.0008668297,0.11289009,0.001235844,0.0070255],"study_design_scores_gemma":[0.0012155471,0.00027116563,0.8782057,0.00008319792,0.000025378033,2.2673203e-7,0.013947209,0.0001440419,0.00013316837,0.0018954789,0.10383143,0.00024746355],"about_ca_topic_score_codex":0.035427395,"about_ca_topic_score_gemma":0.04146111,"teacher_disagreement_score":0.22854999,"about_ca_system_score_codex":0.000044138633,"about_ca_system_score_gemma":0.00037066522,"threshold_uncertainty_score":0.97602975},"labels":[],"label_agreement":null},{"id":"W3014413366","doi":"10.1146/annurev-publhealth-040218-043657","title":"Built Environment, Physical Activity, and Obesity: Findings from the International Physical Activity and Environment Network (IPEN) Adult Study","year":2020,"lang":"en","type":"article","venue":"Annual Review of Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":240,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; Washington University in St. Louis; National Cancer Institute; Medical Research Council; State Government of Victoria; National Health and Medical Research Council","keywords":"Built environment; Physical activity; Overweight; Obesity; Level design; Environmental health; Gerontology; Medicine; Psychology; Computer science; Engineering; Physical medicine and rehabilitation","score_opus":0.05584980464208051,"score_gpt":0.35005064269418434,"score_spread":0.29420083805210384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3014413366","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9226669,0.0018729217,0.0001041394,0.07426591,0.00004641547,0.00077196,0.000110769215,0.000017098795,0.00014390149],"genre_scores_gemma":[0.9809331,0.016021054,0.00002737555,0.0024071236,0.0005413838,0.00002387796,0.000012484509,0.000008066773,0.000025527157],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99771154,0.0006102425,0.00020231087,0.00046118884,0.0006839353,0.00033077545],"domain_scores_gemma":[0.9988749,0.0003248598,0.00021995037,0.00020859981,0.000027833525,0.0003438474],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013416345,0.00016024371,0.00047671958,0.000009373332,0.00035242605,0.000065532964,0.00038874775,0.000036291563,0.00009095182],"category_scores_gemma":[0.0002051964,0.000116873896,0.00008821522,0.00013542162,0.00035515445,0.0005719497,0.0002272183,0.00028135712,0.000010122136],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024913556,0.0024454677,0.668638,0.00044914833,0.00011741435,0.0000024161295,0.034435987,5.9918113e-7,0.000026273861,0.0007466039,0.002434657,0.29067853],"study_design_scores_gemma":[0.0002645027,0.00019457674,0.9594761,0.00014922059,0.000038535647,7.486587e-8,0.0015233086,0.000066610126,0.0000053456524,0.0002573691,0.03789475,0.00012958415],"about_ca_topic_score_codex":0.0049809283,"about_ca_topic_score_gemma":0.000530199,"teacher_disagreement_score":0.29083815,"about_ca_system_score_codex":0.000086078864,"about_ca_system_score_gemma":0.00017163207,"threshold_uncertainty_score":0.7529707},"labels":[],"label_agreement":null},{"id":"W3015316001","doi":"10.4000/rfst.330","title":"La santé publique, un acteur majeur des politiques urbaines de transport actif ?","year":2020,"lang":"fr","type":"article","venue":"Revue francophone sur la santé et les territoires","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Fondation des Maladies du Cœur et de l'AVC; University of Toronto; Toronto Public Health; Université du Québec à Montréal","funders":"","keywords":"Political science; Humanities; Philosophy","score_opus":0.02008658531359081,"score_gpt":0.300038425250593,"score_spread":0.2799518399370022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3015316001","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9183544,0.033041358,0.00079203467,0.013074578,0.0011858811,0.00054334087,0.00064404425,0.00060205034,0.03176235],"genre_scores_gemma":[0.9737606,0.012852682,0.0020317184,0.0013934547,0.0036481654,0.00006206203,0.00010061689,0.00015140156,0.0059992657],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99281096,0.0027160277,0.0011479293,0.0012011464,0.0006552902,0.0014686347],"domain_scores_gemma":[0.9962582,0.0015545822,0.0004225146,0.0005525537,0.0002871963,0.00092493015],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0018873728,0.00083329895,0.0011794284,0.00015609854,0.0006576293,0.00031797562,0.0011900375,0.0011013075,0.002911725],"category_scores_gemma":[0.0006949282,0.0008789663,0.00076331024,0.0014524927,0.0022260014,0.0020320169,0.000088528875,0.001467803,0.000048977294],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026526343,0.00083134574,0.6409857,0.0023871018,0.00026096552,0.0009927923,0.10003345,0.000015657584,0.0017323962,0.002245547,0.006264743,0.243985],"study_design_scores_gemma":[0.0007664225,0.00012985729,0.6445247,0.0008242768,0.00013429472,0.000028050034,0.0038718306,0.00005760996,0.001705704,0.004491537,0.34260625,0.00085944764],"about_ca_topic_score_codex":0.028425623,"about_ca_topic_score_gemma":0.025495837,"teacher_disagreement_score":0.3363415,"about_ca_system_score_codex":0.00026063636,"about_ca_system_score_gemma":0.0012147106,"threshold_uncertainty_score":0.9993661},"labels":[],"label_agreement":null},{"id":"W3015653460","doi":"10.1177/0840470420917168","title":"Geographically mobile healthcare workers and the conditions of their travel: The perspectives of managers","year":2020,"lang":"en","type":"article","venue":"Healthcare Management Forum","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Acadia University; University of Ottawa; Dalhousie University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Reimbursement; Business; Schedule; Flexibility (engineering); Health care; Marketing; Economic growth; Management; Economics","score_opus":0.01728786355819676,"score_gpt":0.2975810436604946,"score_spread":0.2802931801022978,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3015653460","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4776081,0.0066042095,0.00028101914,0.50273615,0.00015592664,0.0034828484,0.00013612691,0.00008379416,0.008911804],"genre_scores_gemma":[0.9960265,0.0016471976,0.000053281874,0.0020010003,0.000048433747,0.00010564104,0.0000092273285,0.000010019794,0.00009869751],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.9982489,0.00035052726,0.00038536635,0.00029334627,0.00037072581,0.0003511814],"domain_scores_gemma":[0.9990653,0.00018378938,0.00021117032,0.00028452714,0.00011959395,0.0001356272],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078745256,0.00012730903,0.000281748,0.00005973816,0.00068952166,0.000030335133,0.00044364083,0.00006273565,0.000057418794],"category_scores_gemma":[0.000020191312,0.00007577274,0.0001725314,0.0006802036,0.0017690728,0.000102117774,0.00007869436,0.00019724792,9.3115244e-7],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003028876,0.00009570412,0.3256086,0.0008844084,0.00023393975,0.0000039691477,0.13559039,0.000012492457,0.0000025336783,0.5237134,0.0014473491,0.01210432],"study_design_scores_gemma":[0.00068544416,0.00011582205,0.19689699,0.0000709438,0.00006048451,8.2478124e-8,0.7838714,0.00003963974,0.0000070148376,0.012241962,0.0058983443,0.00011184555],"about_ca_topic_score_codex":0.0059484537,"about_ca_topic_score_gemma":0.0057741785,"teacher_disagreement_score":0.64828104,"about_ca_system_score_codex":0.000025846466,"about_ca_system_score_gemma":0.00006130573,"threshold_uncertainty_score":0.89923227},"labels":[],"label_agreement":null},{"id":"W3015788765","doi":"10.1177/2f0265813515614678","title":"Shortening the trip to school: Examining how children’s active school travel is influenced by shortcuts in London, Canada","year":2016,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Psychology; Mathematics education; Transport engineering; Geography; Engineering","score_opus":0.05588058295373849,"score_gpt":0.29634432315786274,"score_spread":0.24046374020412425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3015788765","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99471503,0.00007335391,0.00024131962,0.0033138245,0.00021939787,0.00078928156,0.00016470341,0.00008848141,0.0003945994],"genre_scores_gemma":[0.9907354,0.000041905372,0.00001103035,0.0013337024,0.00014611153,0.0000064749656,0.000012436736,0.000035061046,0.0076778773],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99626565,0.0004497048,0.00035775453,0.0009542767,0.0009640306,0.0010085563],"domain_scores_gemma":[0.99783754,0.0002472712,0.00021257617,0.0006271757,0.00021296724,0.0008624734],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00084571895,0.00040239497,0.0004405449,0.00033588064,0.0007886756,0.000415995,0.0017856021,0.00026617636,0.0002055338],"category_scores_gemma":[0.00027107302,0.0003216239,0.00011256094,0.0011931466,0.0003012159,0.0030737477,0.00019258406,0.00074395904,0.000038775062],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011920188,0.000039617673,0.9946766,0.000005093159,0.000049820683,0.00006573856,0.0015622629,0.0000016148845,0.0016243955,0.0000077399445,0.000034500063,0.0018134434],"study_design_scores_gemma":[0.00095464673,0.000051442625,0.98973864,0.0001854581,0.000049925482,0.0000014174725,0.0026866377,3.2145955e-8,0.0035858238,0.000029997596,0.0022268563,0.0004891246],"about_ca_topic_score_codex":0.03961579,"about_ca_topic_score_gemma":0.8871506,"teacher_disagreement_score":0.8475348,"about_ca_system_score_codex":0.001495684,"about_ca_system_score_gemma":0.0015102726,"threshold_uncertainty_score":0.9999236},"labels":[],"label_agreement":null},{"id":"W3016228018","doi":"10.1123/jpah.2019-0433","title":"Moderators of Parents’ Perceptions of the Neighborhood Environment and Children’s Physical Activity, Time Outside, and Screen Time","year":2020,"lang":"en","type":"article","venue":"Journal of Physical Activity and Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Screen time; Moderation; Psychological intervention; Socioeconomic status; Psychology; Perception; Logistic regression; Physical activity; Gerontology; Demography; Medicine; Environmental health; Social psychology; Physical therapy; Population","score_opus":0.025497352002984607,"score_gpt":0.30217976246858796,"score_spread":0.2766824104656034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3016228018","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9933872,0.000043724507,0.000090653244,0.006135767,0.000009051521,0.00016848731,0.000060675015,0.000003970704,0.000100458456],"genre_scores_gemma":[0.9995803,0.00007477025,0.000021991784,0.00006764607,0.00023727023,5.646772e-7,6.0613195e-7,0.000005196079,0.000011659129],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989742,0.00018928389,0.0001617385,0.00015653596,0.00036208442,0.00015615192],"domain_scores_gemma":[0.9991879,0.00009637589,0.00035965646,0.000077953366,0.000027285076,0.00025081658],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024942434,0.00010465243,0.00044791796,0.000019481413,0.00026097524,0.000021366235,0.000112786445,0.000041554238,0.000019982946],"category_scores_gemma":[0.000017807131,0.00007218901,0.000119468896,0.00008857327,0.00045046798,0.00036579222,0.000059505204,0.00028795144,8.202884e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002634633,0.003597977,0.8891748,0.00014258781,0.00016260853,8.432396e-7,0.026573015,0.00004226668,0.02034259,0.00063429045,0.00015362425,0.058911886],"study_design_scores_gemma":[0.00034585423,0.00036070013,0.9964495,0.00003201451,0.00005000187,4.1022832e-7,0.00015926441,0.0012033939,0.00062175194,0.00070448103,0.000008421605,0.000064244174],"about_ca_topic_score_codex":0.0005318322,"about_ca_topic_score_gemma":0.00003827243,"teacher_disagreement_score":0.107274614,"about_ca_system_score_codex":0.000033564986,"about_ca_system_score_gemma":0.00014045498,"threshold_uncertainty_score":0.29437822},"labels":[],"label_agreement":null},{"id":"W3016627823","doi":"10.1016/j.jth.2020.100846","title":"Participation in out-of-home activities among older adults: The role of mobility, attitudes and travel behaviors","year":2020,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital","funders":"Ministry of Science and Technology, Israel; Ministry of Science, Technology and Space","keywords":"Structural equation modeling; Psychology; Psychological intervention; Public transport; Affect (linguistics); Travel behavior; Variance (accounting); Goodness of fit; Gerontology; Social psychology; Medicine; Transport engineering; Business; Engineering; Statistics; Mathematics","score_opus":0.02811455993925226,"score_gpt":0.34212035916303485,"score_spread":0.3140057992237826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3016627823","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977231,0.000569514,0.00005202346,0.0011866222,0.0001159794,0.0002714423,0.000021934658,0.0000048299953,0.000054543678],"genre_scores_gemma":[0.9995666,0.00021693938,0.00006809943,0.000057863246,0.000075405354,0.0000037026687,0.0000020991013,0.000006030903,0.0000032376188],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99832875,0.00011176867,0.0008277678,0.00012291576,0.0004102424,0.00019857184],"domain_scores_gemma":[0.9990425,0.00007661575,0.0005360318,0.00008350018,0.00008741187,0.00017395626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012052224,0.00008691435,0.00039118924,0.000052418683,0.000094374605,0.0000085213505,0.0001932527,0.000060346905,0.000040948198],"category_scores_gemma":[0.000018315055,0.00006370048,0.00011231041,0.000189669,0.0003993681,0.00038241706,0.0000036209515,0.0002655666,8.248094e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011096801,0.00030442438,0.9133484,0.00018851797,0.00001037905,0.0000019936815,0.08312054,0.000008677161,0.00013488329,0.000073747724,0.0000024265587,0.0026950587],"study_design_scores_gemma":[0.00038798936,0.00015797185,0.9867331,0.00014512669,0.000027363309,8.7068315e-8,0.012028402,0.000008354267,0.00029641902,0.00013009143,0.000030988573,0.000054148535],"about_ca_topic_score_codex":0.0033921571,"about_ca_topic_score_gemma":0.033119503,"teacher_disagreement_score":0.07338467,"about_ca_system_score_codex":0.00003288382,"about_ca_system_score_gemma":0.0003739343,"threshold_uncertainty_score":0.98452353},"labels":[],"label_agreement":null},{"id":"W3016753840","doi":"10.31235/osf.io/ua2gj","title":"Sizing up transport poverty: A national scale accounting of low-income households suffering from inaccessibility in Canada, and what to do about it","year":2019,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Poverty; Public transport; Destinations; Disadvantaged; Business; Disadvantage; Scale (ratio); Demographic economics; Economic growth; Geography; Public economics; Economics; Transport engineering; Political science; Engineering; Tourism","score_opus":0.012791149551598914,"score_gpt":0.2620772110592883,"score_spread":0.24928606150768937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3016753840","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99610555,0.00016808619,0.000033795986,0.00036100694,0.00034364418,0.0003361707,0.000046694055,0.000022950146,0.0025821284],"genre_scores_gemma":[0.9990658,0.00003725756,0.00015093209,0.00050878007,0.000057288624,0.000007177467,0.00000866742,0.000010498474,0.00015358043],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99787855,0.000046268222,0.00051181176,0.00046389594,0.00075547135,0.0003439732],"domain_scores_gemma":[0.9992544,0.00018128255,0.00010684513,0.00018907795,0.00012930816,0.00013910478],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009104659,0.00014146346,0.0003345787,0.0000696198,0.00011654656,0.00014803086,0.00032873303,0.00009073162,0.0005834703],"category_scores_gemma":[0.000043872107,0.00013601685,0.00005055088,0.00043013255,0.000070204995,0.0019877725,0.000036651338,0.00014796336,0.000002460539],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031264233,0.00002571962,0.9935192,0.000055420587,0.000006367193,0.000001480617,0.0044256845,0.00003425282,0.00021853385,0.000052348834,0.000009140788,0.0016206246],"study_design_scores_gemma":[0.00031877807,0.0000055211744,0.99147284,0.00024636043,0.000005142441,3.3323364e-8,0.0068016923,0.0000611295,0.00038038738,0.0003651633,0.00016840524,0.0001745488],"about_ca_topic_score_codex":0.9681816,"about_ca_topic_score_gemma":0.9967203,"teacher_disagreement_score":0.028538741,"about_ca_system_score_codex":0.0004948357,"about_ca_system_score_gemma":0.0012297381,"threshold_uncertainty_score":0.63885903},"labels":[],"label_agreement":null},{"id":"W3017192438","doi":"10.1016/j.aap.2020.105540","title":"Cyclist crash rates and risk factors in a prospective cohort in seven European cities","year":2020,"lang":"en","type":"article","venue":"Accident Analysis & Prevention","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":36,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada; Michael Smith Health Research BC","keywords":"Crash; Geography; Poison control; Occupational safety and health; Environmental health; Injury prevention; Transport engineering; Neighbourhood (mathematics); Human factors and ergonomics; Demography; Engineering; Medicine; Computer science; Sociology; Mathematics","score_opus":0.017942531584556623,"score_gpt":0.29946233438694814,"score_spread":0.28151980280239153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3017192438","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968469,0.00012783751,0.0001837905,0.00017737762,0.000021884694,0.0003383092,0.0000010997644,0.00003722883,0.002265555],"genre_scores_gemma":[0.9992569,0.00026061528,0.000029139137,0.000016175554,0.00005145484,0.000012400071,0.00004579303,0.0000067541846,0.00032076502],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99823445,0.00056428823,0.00037572568,0.00038070237,0.0002544135,0.00019042057],"domain_scores_gemma":[0.99954283,0.000057993613,0.00017572992,0.00010271014,0.000039955834,0.00008077816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010785252,0.00011304628,0.00028550735,0.00019569085,0.00015945149,0.00013147324,0.00016978795,0.00004698223,0.00028166128],"category_scores_gemma":[0.00016572727,0.000109213295,0.00015523426,0.0013555438,0.00009390957,0.00054726674,0.000037418144,0.00015714024,0.0000063685693],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011044746,0.000045761495,0.9861786,0.0000016801122,0.00016274869,0.0000044223902,0.013109702,0.000046988975,0.0000100099505,0.00004121531,0.000011019751,0.00037680325],"study_design_scores_gemma":[0.00020900767,0.00001444702,0.99319094,0.000011902823,0.00041554598,8.887302e-9,0.004368561,0.00011640838,0.00004460427,0.0014750168,0.000032909298,0.000120636905],"about_ca_topic_score_codex":0.016196905,"about_ca_topic_score_gemma":0.37759823,"teacher_disagreement_score":0.36140132,"about_ca_system_score_codex":0.000087396686,"about_ca_system_score_gemma":0.000031441417,"threshold_uncertainty_score":0.9903543},"labels":[],"label_agreement":null},{"id":"W3017420410","doi":"","title":"Examining the environmental influences on physical activity among children in rural Northern Ontario","year":2020,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Physical activity; Geography; Environmental health; Medicine","score_opus":0.07273001021026776,"score_gpt":0.2883028305460551,"score_spread":0.21557282033578734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3017420410","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987346,0.000007320173,0.0000052244213,0.00039486395,0.00006507537,0.00037428024,0.000012924524,0.000077813565,0.0003278902],"genre_scores_gemma":[0.99902755,0.0000036091599,0.000001001979,0.00020836176,0.00015323453,0.000001335311,0.000009359627,0.000014855451,0.00058066787],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99804837,0.00036560712,0.00013778941,0.00047533633,0.00053457357,0.00043833544],"domain_scores_gemma":[0.99923116,0.000112509624,0.00013921231,0.00026285232,0.000014344512,0.00023993314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002676865,0.00023522726,0.00025297675,0.000085574466,0.00054565904,0.00020231839,0.0009394992,0.00013084487,0.000044555076],"category_scores_gemma":[0.000021786565,0.00020979776,0.00011635564,0.0003493591,0.00054256537,0.0017932173,0.00014552263,0.00084185496,0.00007939542],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010198553,0.00014901857,0.98233503,0.0000028998102,0.000023211414,0.00004058037,0.016364807,0.00002993832,0.000103949686,0.0000076002125,5.9615324e-8,0.00084094197],"study_design_scores_gemma":[0.0004913844,0.00008842041,0.99694544,0.00003503889,0.000032326916,2.2112651e-7,0.0018468816,2.6111573e-7,0.00022036288,0.000023019255,0.00006988307,0.00024677135],"about_ca_topic_score_codex":0.0034026008,"about_ca_topic_score_gemma":0.6668531,"teacher_disagreement_score":0.6634505,"about_ca_system_score_codex":0.00045644463,"about_ca_system_score_gemma":0.00014821305,"threshold_uncertainty_score":0.8555304},"labels":[],"label_agreement":null},{"id":"W3018982797","doi":"10.32866/001c.12557","title":"What Makes the Gears Go ‘Round? Factors Influencing Bicycling to Suburban Regional Rail Stations","year":2020,"lang":"en","type":"article","venue":"Findings","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Transport engineering; Recreation; TRIPS architecture; Context (archaeology); Geography; Sustainable transport; Travel behavior; Engineering; Sustainability; Political science","score_opus":0.07570685793301223,"score_gpt":0.3222920680686654,"score_spread":0.24658521013565315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3018982797","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.979107,0.000090745205,0.00011801594,0.019313503,0.0002931829,0.00023702488,0.000010144596,0.0000989609,0.0007314148],"genre_scores_gemma":[0.99610066,0.000021006275,0.000099425066,0.0026100457,0.00024771102,0.000009613149,0.000013836362,0.000011059872,0.0008866106],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986933,0.000057027424,0.00022174578,0.0002826867,0.00042085766,0.00032438565],"domain_scores_gemma":[0.999323,0.00021475689,0.00006357605,0.00012665769,0.0000680972,0.0002039139],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034951817,0.000110163375,0.00012789157,0.000044315526,0.000938357,0.0004994576,0.00040669405,0.00006666331,0.00028495438],"category_scores_gemma":[0.00022913706,0.00008515356,0.0000894115,0.000603742,0.00018085194,0.0009764113,0.000028776665,0.0001885528,0.00007984271],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000126823725,0.000014200603,0.7424357,0.000010262847,0.000015328586,0.0000026087475,0.25034928,0.000031984007,0.0005793659,0.0016117292,0.004483582,0.00045326463],"study_design_scores_gemma":[0.00015873724,0.000032896267,0.7838524,0.000057961774,0.00002743059,9.134358e-8,0.07613807,0.000021622114,0.00032681567,0.0013025192,0.13781397,0.00026746164],"about_ca_topic_score_codex":0.0014071476,"about_ca_topic_score_gemma":0.002447241,"teacher_disagreement_score":0.1742112,"about_ca_system_score_codex":0.000085549684,"about_ca_system_score_gemma":0.00014209082,"threshold_uncertainty_score":0.72171783},"labels":[],"label_agreement":null},{"id":"W3020707746","doi":"10.1088/2515-7620/ab8b2a","title":"Environmental attributes and sedentary behaviours among Canadian adults","year":2020,"lang":"en","type":"article","venue":"Environmental Research Communications","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"Canadian Institutes of Health Research; Ministry of Education, Culture, Sports, Science and Technology","keywords":"Destinations; Geography; Walkability; Neighbourhood (mathematics); Transport engineering; Built environment; Environmental health; Tourism; Medicine; Ecology; Engineering; Mathematics","score_opus":0.07845573048573988,"score_gpt":0.3467559226186756,"score_spread":0.2683001921329357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3020707746","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9823868,0.0011857062,0.0000020981959,0.011861451,0.000018310262,0.0004657931,0.00040159037,0.000028399181,0.003649818],"genre_scores_gemma":[0.9973043,0.0016612896,0.00013077001,0.00019671621,0.00005220624,0.00004735656,0.00034482506,0.000014110286,0.00024840707],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979962,0.00043901746,0.00018178849,0.00029779054,0.0005855619,0.0004996379],"domain_scores_gemma":[0.9982483,0.00019159602,0.00003190905,0.00060380204,0.0000058844926,0.00091851584],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.00062981056,0.00010094083,0.00010580431,0.00007294034,0.002162166,0.00009341088,0.0010496032,0.000089399786,0.0012930918],"category_scores_gemma":[0.00006162484,0.00011474623,0.000046372166,0.000168291,0.0029017979,0.00039524693,0.00036673318,0.0005455553,0.000103421604],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000074063278,0.00012439009,0.98928726,0.0000020715454,0.000008642314,0.0000048421502,0.006655904,3.0019837e-7,0.0001349128,0.0001258633,0.00047543232,0.0031729678],"study_design_scores_gemma":[0.00019606607,0.000047544265,0.9617164,0.000009576626,0.00000961818,1.7055481e-7,0.012136951,0.000077026314,0.00007094719,0.00013265361,0.025475362,0.00012770049],"about_ca_topic_score_codex":0.23045866,"about_ca_topic_score_gemma":0.48499858,"teacher_disagreement_score":0.2545399,"about_ca_system_score_codex":0.00044497487,"about_ca_system_score_gemma":0.00011353161,"threshold_uncertainty_score":0.9998117},"labels":[],"label_agreement":null},{"id":"W3021524749","doi":"10.1177/0361198120919407","title":"Observational Study of Pedestrian and Cyclist Interactions at Intersections in Vancouver, BC and Montréal, QC","year":2020,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institut National de la Recherche Scientifique; Simon Fraser University","funders":"","keywords":"Pedestrian; Transport engineering; Phone; Pace; Cycling; Pedestrian crossing; Observational study; Geography; Computer science; Engineering; Mathematics; Statistics","score_opus":0.23944681095189144,"score_gpt":0.44128474310144084,"score_spread":0.2018379321495494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3021524749","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9925279,0.00022620767,0.000080185986,0.005654382,0.00028721034,0.0009885835,0.00004508691,0.000013242488,0.0001771897],"genre_scores_gemma":[0.9984682,0.00084324396,0.00017876542,0.000034048207,0.000118646625,0.000038152903,0.0000073433657,0.000017871012,0.0002936983],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99485075,0.0010898024,0.0012105805,0.00035778276,0.002022775,0.00046833113],"domain_scores_gemma":[0.99660224,0.0009884222,0.00037286873,0.00018677076,0.0014442807,0.00040542978],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002738604,0.00015260649,0.00038276892,0.0005187367,0.0008350913,0.00008082734,0.00047893307,0.000101800826,0.00024363279],"category_scores_gemma":[0.00029823047,0.00012737895,0.00013829813,0.001803106,0.0008287736,0.00086492585,0.000010803966,0.0013171235,0.0000016458656],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010437599,0.0003996514,0.96122634,0.000102490936,0.00005644227,0.00003167151,0.03359598,0.00012422849,0.00046788141,0.00019659786,0.0015431246,0.0012118145],"study_design_scores_gemma":[0.0015941919,0.0004905467,0.9499771,0.00011106003,0.00003715475,5.79188e-8,0.040283762,0.00007369087,0.000064988395,0.00084140105,0.006423926,0.00010212779],"about_ca_topic_score_codex":0.24572513,"about_ca_topic_score_gemma":0.9597015,"teacher_disagreement_score":0.7139764,"about_ca_system_score_codex":0.00020759825,"about_ca_system_score_gemma":0.00042969763,"threshold_uncertainty_score":0.75929767},"labels":[],"label_agreement":null},{"id":"W3021710523","doi":"10.1016/j.envres.2020.109622","title":"Environmental and health impacts of transportation and land use scenarios in 2061","year":2020,"lang":"en","type":"article","venue":"Environmental Research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; University of Toronto; Institut National de Santé Publique du Québec; Montreal Police Service; Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Compute Canada","keywords":"TRIPS architecture; Environmental science; Air pollution; Population; Geography; Public transport; Dispersion (optics); Transport engineering; Environmental health; Engineering; Ecology; Medicine","score_opus":0.08243554280520186,"score_gpt":0.3711770359196708,"score_spread":0.2887414931144689,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3021710523","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971913,0.00075104885,0.0000029943565,0.0015945225,0.000007089208,0.00032459974,0.00007417185,0.0000051328843,0.000049112634],"genre_scores_gemma":[0.99803275,0.0017291094,0.000052753716,0.00008794606,0.000022155284,0.000004623797,0.00003199092,0.000006683139,0.000031969947],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99864906,0.00016015492,0.00019302199,0.00024327332,0.0004692717,0.0002852464],"domain_scores_gemma":[0.9995518,0.00007448683,0.00003707078,0.00006603995,0.0000013468849,0.00026929076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075908855,0.000066727676,0.00013313073,0.000048856058,0.00017082527,0.000027331205,0.0000795319,0.000052113697,0.00024062127],"category_scores_gemma":[0.000015219856,0.000066166045,0.00001753236,0.00009060627,0.0006309018,0.00032422706,0.000018454048,0.00020083459,0.000005766352],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004428491,0.00008840396,0.98061925,0.000021607319,0.0000030352599,0.0000055986725,0.0126428865,0.0000012183262,0.0020741164,0.000014559444,0.000016965789,0.004468046],"study_design_scores_gemma":[0.00039300078,0.000115427334,0.99578005,0.000012212024,0.0000016675675,7.123961e-8,0.0027236913,0.000018532179,0.0002752744,0.00008160373,0.0005418554,0.000056627145],"about_ca_topic_score_codex":0.005983272,"about_ca_topic_score_gemma":0.007612616,"teacher_disagreement_score":0.015160759,"about_ca_system_score_codex":0.00009931056,"about_ca_system_score_gemma":0.00004228436,"threshold_uncertainty_score":0.9044958},"labels":[],"label_agreement":null},{"id":"W3022230630","doi":"","title":"Analysis of Vehicle Ownership Evolution in Montreal, Canada Using Pseudo Panel Analysis","year":2014,"lang":"en","type":"article","venue":"Journal of International Crisis and Risk Communication Research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Car ownership; License; Nested logit; Econometrics; Econometric model; Logit; Panel data; Ordered logit; Econometric analysis; Binary logit model; Demographic economics; Economics; Business; Statistics; Computer science; Mathematics; Transport engineering; Engineering; Public transport","score_opus":0.08258136955011956,"score_gpt":0.39934982284337567,"score_spread":0.3167684532932561,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3022230630","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99649465,0.00055193994,0.00091591914,0.0011537044,0.000032822267,0.00004393504,0.000015837655,0.00000147713,0.0007896952],"genre_scores_gemma":[0.9976634,0.0018980785,0.00033294962,0.000013150562,0.00003790856,9.85426e-7,0.000008528798,0.000002494153,0.0000425333],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969034,0.0012293028,0.0005777304,0.00010898956,0.001033536,0.00014702878],"domain_scores_gemma":[0.9971874,0.0006732541,0.00047424962,0.00025008142,0.0013231665,0.00009184581],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006501455,0.000053220298,0.00027658723,0.0011905591,0.00027360357,0.000054709908,0.0005958597,0.000057405327,0.00010830368],"category_scores_gemma":[0.0006065061,0.00004381152,0.00014902622,0.0021724824,0.0001826194,0.0002607952,0.00005343461,0.00036412038,1.5923543e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004527198,0.00006543705,0.9909651,0.0000027625526,0.0007578425,6.370797e-7,0.0012344316,0.0055376943,0.0000260129,0.0005170571,0.00008830745,0.0007594337],"study_design_scores_gemma":[0.00016965496,0.0000137080715,0.9450442,0.000013461067,0.00044856782,9.283206e-8,0.0047374624,0.048458625,0.000011549195,0.0007981621,0.0002628178,0.000041672258],"about_ca_topic_score_codex":0.9350798,"about_ca_topic_score_gemma":0.96611774,"teacher_disagreement_score":0.045920886,"about_ca_system_score_codex":0.00048177692,"about_ca_system_score_gemma":0.00037131587,"threshold_uncertainty_score":0.22532876},"labels":[],"label_agreement":null},{"id":"W3022461974","doi":"","title":"Investigation of the Use of Smartphone Application for Trip Planning and Travel Outcome","year":2016,"lang":"en","type":"article","venue":"Transportation Research Board 95th Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Travel behavior; Taxis; TRIPS architecture; Smartphone application; Transport engineering; Mode choice; Travel survey; Transportation planning; Computer science; Advertising; Business; Public transport; Engineering; Multimedia","score_opus":0.2227244879328481,"score_gpt":0.43048088626519415,"score_spread":0.20775639833234605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3022461974","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9858178,0.00010778439,0.006790537,0.0032908618,0.00011614011,0.002926783,0.00078458904,0.0000559756,0.00010956041],"genre_scores_gemma":[0.99626625,0.000102717764,0.0021046312,0.000038074955,0.0001084629,0.000440573,0.00011033963,0.00004123923,0.0007877248],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99286854,0.0010801317,0.0014650841,0.0007327853,0.0029121025,0.0009413564],"domain_scores_gemma":[0.9916202,0.0031915398,0.00047424948,0.0005069353,0.0038196759,0.00038740668],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0074310303,0.00023735191,0.0004899823,0.00062038016,0.0010445293,0.00006376724,0.00063040893,0.00031061834,0.000047050537],"category_scores_gemma":[0.0012914534,0.00017205504,0.00023338667,0.0018611739,0.0031317081,0.0010778259,0.000010437678,0.0005168011,0.0000032782073],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007096216,0.000073373405,0.9462207,0.00041981548,0.00003799652,0.0000014946587,0.016241936,0.000043094533,0.02473494,0.008133896,0.00039983247,0.0029833273],"study_design_scores_gemma":[0.0013482539,0.00018980257,0.97175354,0.00029788868,0.00004081731,2.1635065e-8,0.0052642697,0.000040917064,0.013206914,0.0035811984,0.0040764925,0.00019987287],"about_ca_topic_score_codex":0.015537837,"about_ca_topic_score_gemma":0.02417144,"teacher_disagreement_score":0.025532879,"about_ca_system_score_codex":0.00012743668,"about_ca_system_score_gemma":0.00073100923,"threshold_uncertainty_score":0.9995812},"labels":[],"label_agreement":null},{"id":"W3023316863","doi":"10.1051/e3sconf/202016404015","title":"Accessibility of the urban environment for people with limited mobility using the example of Arkhangelsk","year":2020,"lang":"en","type":"article","venue":"E3S Web of Conferences","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Recreation; Quarter (Canadian coin); Quality (philosophy); Environmental planning; Stairs; Space (punctuation); Transport engineering; Business; Relevance (law); Urban planning; Geography; Built environment; Computer science; Civil engineering; Engineering; Political science","score_opus":0.07949261227015274,"score_gpt":0.2900127269567203,"score_spread":0.21052011468656756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3023316863","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952139,0.00012977258,0.0006000519,0.0010994589,0.00008738828,0.00078485924,0.00008272409,0.000012020099,0.001989807],"genre_scores_gemma":[0.999526,0.000020501708,0.0003002847,0.0000383949,0.000063543535,0.000017976796,0.0000038768153,0.000004806075,0.000024614379],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984549,0.00018338388,0.00042023972,0.00028935322,0.00046685332,0.00018525684],"domain_scores_gemma":[0.9986071,0.00030969596,0.00046430324,0.0004013018,0.00015579202,0.00006183105],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008180511,0.0001146936,0.0003405464,0.000015376865,0.00020536392,0.00002282688,0.0008792076,0.00006711114,0.0003370608],"category_scores_gemma":[0.00015349317,0.00006105886,0.000139361,0.00029674952,0.0011977622,0.00016531005,0.000064033105,0.0000901129,1.6882879e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012145683,0.00012901473,0.98809093,0.000091839975,0.000034035762,3.585013e-8,0.008467337,0.000023524439,0.0014449965,0.0010215122,0.00002775718,0.00054757664],"study_design_scores_gemma":[0.00042604003,0.00014433864,0.97035015,0.000043966567,0.00011630176,2.4286807e-8,0.0064975615,0.00054066564,0.013550601,0.0008708858,0.0073325587,0.00012693246],"about_ca_topic_score_codex":0.008174548,"about_ca_topic_score_gemma":0.006223494,"teacher_disagreement_score":0.017740788,"about_ca_system_score_codex":0.000020150334,"about_ca_system_score_gemma":0.00083156873,"threshold_uncertainty_score":0.99843013},"labels":[],"label_agreement":null},{"id":"W3023344446","doi":"","title":"Spatiotemporal accessibility to supermarkets using public transit: an interaction potential approach in Cincinnati, Ohio","year":2014,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Public transport; Work (physics); Business; Transport engineering; Population; Geography; Transit (satellite); Public access; Marketing; Advertising; Environmental health; Engineering; Computer science; Medicine; Internet privacy","score_opus":0.06915720827704974,"score_gpt":0.37102705153300547,"score_spread":0.3018698432559557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3023344446","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.960292,0.0000059762942,0.00021833529,0.00046963806,0.00021389707,0.000604168,0.000007772669,0.000036333236,0.0381519],"genre_scores_gemma":[0.9985667,0.00003820813,0.0008890311,0.000071991075,0.00025211234,0.00003577373,0.000031487445,0.000021311214,0.00009340319],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99623185,0.0011467055,0.00060817634,0.000809681,0.00039244417,0.00081116706],"domain_scores_gemma":[0.9987509,0.00016323791,0.00008034821,0.00050225446,0.00013999832,0.00036326033],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007028552,0.00016523157,0.0003203305,0.0005155181,0.0004041065,0.00032703718,0.0006677261,0.00022026317,0.00018534918],"category_scores_gemma":[0.00039658893,0.00018119729,0.000087973785,0.0005494836,0.0003234625,0.0016841007,0.000072203824,0.00060985703,0.000002787317],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021720293,0.00058423425,0.8135388,0.000044022032,0.0000101024725,0.0000055081828,0.0052930466,0.0017292663,0.0005249605,0.00032330264,0.0000032935188,0.17772625],"study_design_scores_gemma":[0.0007819333,0.00008410341,0.93007857,0.00003154642,0.0000041888143,8.825547e-7,0.004859643,0.060635023,0.00012300434,0.00074208295,0.0022928491,0.00036618338],"about_ca_topic_score_codex":0.0035239751,"about_ca_topic_score_gemma":0.04448774,"teacher_disagreement_score":0.17736007,"about_ca_system_score_codex":0.0010545293,"about_ca_system_score_gemma":0.00052116526,"threshold_uncertainty_score":0.9729479},"labels":[],"label_agreement":null},{"id":"W3023391672","doi":"10.5198/jtlu.2017.943","title":"Proximity to four bikeway types and neighbourhood-level cycling mode share of male and female commuters","year":2017,"lang":"en","type":"article","venue":"Journal of Transport and Land Use","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Cycling; Neighbourhood (mathematics); Mode (computer interface); Bivariate analysis; Census tract; Census; Kilometer; Geography; Mode choice; Demography; Demographic economics; Transport engineering; Statistics; Mathematics; Engineering; Economics; Computer science; Population","score_opus":0.08182072422335952,"score_gpt":0.3243401328114146,"score_spread":0.2425194085880551,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3023391672","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982385,0.00026627618,0.0001533688,0.00065001694,0.00008936764,0.00011564684,0.00007615893,0.000004383544,0.00040626276],"genre_scores_gemma":[0.9985003,0.000336386,0.0007981429,0.000051418483,0.000099347846,7.2949655e-7,0.0000018853466,0.0000061762466,0.00020564464],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991971,0.000023003937,0.00029824587,0.0001252646,0.00019778748,0.00015857918],"domain_scores_gemma":[0.99925196,0.00004829947,0.00024852532,0.00013439111,0.00010238365,0.00021443203],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004503677,0.000096561474,0.00029469182,0.000056720426,0.00042363646,0.00011106178,0.0001867267,0.00007526306,0.000047423986],"category_scores_gemma":[0.0000409595,0.00007283443,0.000060666152,0.000035358873,0.00018972126,0.00077055325,0.000013311559,0.00013965853,1.3758799e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013342619,0.000039661492,0.9933841,0.00006330032,0.000030138068,0.00002700214,0.004214632,0.0000032022378,0.00014264221,0.000068334324,0.000016056762,0.001877495],"study_design_scores_gemma":[0.00056151097,0.000068112524,0.9976139,0.00013825865,0.00007504495,0.0000055429855,0.00029380317,0.000015730397,0.00011225959,0.00023647452,0.0007807068,0.00009867662],"about_ca_topic_score_codex":0.002903608,"about_ca_topic_score_gemma":0.010738838,"teacher_disagreement_score":0.007835231,"about_ca_system_score_codex":0.0000072980138,"about_ca_system_score_gemma":0.000057004563,"threshold_uncertainty_score":0.5992524},"labels":[],"label_agreement":null},{"id":"W3023657490","doi":"10.25318/82-003-x201900900002-eng","title":"An examination of the associations between walkable neighbourhoods and obesity and self-rated health in Canadians","year":2019,"lang":"en","type":"article","venue":"PubMed","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University; International Development Research Centre; Statistics Canada","funders":"","keywords":"Walkability; Overweight; Waist; Body mass index; Obesity; Medicine; Demography; Gerontology; Physical activity; Psychology; Physical therapy","score_opus":0.01623314795305,"score_gpt":0.253796131283502,"score_spread":0.23756298333045198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3023657490","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99525124,0.00004578608,0.0000015992242,0.0013720319,0.00004345899,0.00054926786,0.000041852974,0.000014076148,0.0026806847],"genre_scores_gemma":[0.99968493,0.000015309517,0.000011332691,0.00007011267,0.000022298833,0.000017119308,0.000009376247,0.0000024378576,0.00016709707],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99923444,0.00020539496,0.00013172848,0.00011952641,0.00011136181,0.00019756952],"domain_scores_gemma":[0.9996423,0.000054544096,0.000086426626,0.00008498498,0.000031559575,0.00010018999],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012972382,0.000037824673,0.00011272623,0.000033834232,0.0001673178,0.000028172653,0.00008900062,0.000051617662,0.0000074349896],"category_scores_gemma":[0.00004076784,0.000031937863,0.000010050556,0.0002672113,0.00005206404,0.00022466561,0.000006746534,0.0000645381,1.6194907e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[3.0773177e-7,0.000028766417,0.984366,0.0000064630067,0.0000033909453,2.6809364e-8,0.0041456567,4.604185e-7,6.038927e-7,0.00025375036,0.00000732582,0.011187232],"study_design_scores_gemma":[0.00012659635,0.0000054110906,0.9988987,0.000002388267,0.000005345115,5.7018097e-9,0.000394087,0.000010708754,0.0000072734274,0.00038548428,0.00012838813,0.00003560769],"about_ca_topic_score_codex":0.121240675,"about_ca_topic_score_gemma":0.3499123,"teacher_disagreement_score":0.22867161,"about_ca_system_score_codex":0.000149912,"about_ca_system_score_gemma":0.00014569433,"threshold_uncertainty_score":0.88461107},"labels":[],"label_agreement":null},{"id":"W3023945459","doi":"10.1111/cag.12614","title":"An examination of the impact of neighbourhood walking environments on the likelihood of residents of dense urban areas becoming overweight or obese","year":2020,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Overweight; Walkability; Urbanization; Neighbourhood (mathematics); Body mass index; Obesity; Pedestrian; China; Environmental health; Logistic regression; Geography; Psychological intervention; Logit; Demography; Gerontology; Psychology; Medicine; Physical activity; Physical medicine and rehabilitation; Economic growth; Sociology; Computer science; Economics","score_opus":0.015421432384943274,"score_gpt":0.23874842440698835,"score_spread":0.22332699202204506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3023945459","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972698,0.0005029479,0.0000011531623,0.00037701777,0.00012134654,0.00050978316,0.0003520194,0.000010542064,0.0008554082],"genre_scores_gemma":[0.9994829,0.00028599022,0.000015045875,0.00008408101,0.00006312769,0.000011975524,0.00001402176,0.000022948145,0.000019863308],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99742466,0.0003743949,0.0006828558,0.0003566414,0.00054705987,0.00061436975],"domain_scores_gemma":[0.9977003,0.00029730663,0.0006610125,0.0006072519,0.00015586516,0.0005782613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000653179,0.00026543558,0.00048038422,0.00084598357,0.00048161898,0.00002965448,0.0010758017,0.00015473792,0.0002362171],"category_scores_gemma":[0.0003588995,0.00017368385,0.0005008845,0.0035544971,0.0023721796,0.0003078348,0.000033780336,0.00019317567,2.568768e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000074361305,0.00008948492,0.97199816,0.0000672517,0.00018696353,0.0000056207177,0.022935543,0.000017696817,0.00064258365,0.00122279,0.00015955171,0.0025999877],"study_design_scores_gemma":[0.00025445115,0.00032693447,0.98032254,0.00016711494,0.000090698566,3.3903058e-7,0.016785812,0.000012959398,0.00122951,0.0005864641,0.000045930672,0.00017725662],"about_ca_topic_score_codex":0.81892216,"about_ca_topic_score_gemma":0.9700198,"teacher_disagreement_score":0.15109764,"about_ca_system_score_codex":0.000095681025,"about_ca_system_score_gemma":0.0004534182,"threshold_uncertainty_score":0.8740395},"labels":[],"label_agreement":null},{"id":"W3024259511","doi":"","title":"Joint Modelling of Propensity and Distance for Walking Trip Generation","year":2012,"lang":"en","type":"article","venue":"Transportation Research Board 91st Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"TRIPS architecture; Econometric model; Baseline (sea); Econometrics; Work (physics); Trip generation; Travel behavior; Preferred walking speed; Distance decay; Economics; Transport engineering; Computer science; Engineering; Physical medicine and rehabilitation","score_opus":0.2905167700668444,"score_gpt":0.4129203287131816,"score_spread":0.12240355864633717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3024259511","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96624845,0.0009896056,0.02714107,0.00094460684,0.00024819802,0.0029476662,0.00036164685,0.000116873794,0.0010018537],"genre_scores_gemma":[0.99131525,0.0005994181,0.0058458974,0.000024910421,0.00063728873,0.0004443248,0.00035648746,0.0000604774,0.0007159507],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9915304,0.0011857945,0.00129315,0.0008390617,0.0033434422,0.0018081418],"domain_scores_gemma":[0.99323887,0.00096027984,0.0002997379,0.00040230813,0.004383007,0.0007158279],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.016310807,0.00030485407,0.00059479236,0.000710279,0.0021569077,0.00016864657,0.0004384062,0.00034360372,0.00014054857],"category_scores_gemma":[0.00051547424,0.0003099434,0.00022630954,0.0015495718,0.0016931304,0.0019087186,0.000009940807,0.0009177776,0.000007971444],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014287567,0.0008514912,0.803009,0.0015086143,0.00012897365,0.000011978292,0.11614618,0.0012731926,0.0086557595,0.05779166,0.0015485171,0.007645918],"study_design_scores_gemma":[0.0025848108,0.00051727117,0.9173465,0.0004843867,0.00012459634,9.8370116e-8,0.031527422,0.0022650792,0.012808361,0.0049645356,0.02646289,0.00091405207],"about_ca_topic_score_codex":0.020573698,"about_ca_topic_score_gemma":0.03911187,"teacher_disagreement_score":0.11433753,"about_ca_system_score_codex":0.0002094562,"about_ca_system_score_gemma":0.000593941,"threshold_uncertainty_score":0.99993527},"labels":[],"label_agreement":null},{"id":"W3025204263","doi":"10.33137/jaste.v11i1.34254","title":"The Power to Change … Climate Change","year":2020,"lang":"en","type":"article","venue":"Journal for Activist Science and Technology Education","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Hydrosphere; Climate change; Biosphere; Atmosphere (unit); Humanity; Mode (computer interface); Action (physics); Greenhouse gas; Power (physics); Environmental science; Political science; Meteorology; Geography; Computer science; Ecology; Oceanography; Geology","score_opus":0.052881318626909916,"score_gpt":0.3758285814000655,"score_spread":0.32294726277315555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3025204263","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7198093,0.0002673789,0.00005942378,0.2774939,0.0009332336,0.00046190963,0.000002162995,0.000041186508,0.0009315519],"genre_scores_gemma":[0.99738526,0.00018435025,0.00014714127,0.0016748509,0.00044842073,0.0001091931,2.3737648e-7,0.0000033417562,0.00004720031],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99913895,0.000012169496,0.00010927259,0.00018234461,0.00024060084,0.00031664054],"domain_scores_gemma":[0.9992732,0.000034336717,0.00009015878,0.00008900441,0.00033617715,0.00017717175],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0010910346,0.00005492233,0.00006929704,0.00012775154,0.0030612515,0.00023899053,0.00040992614,0.000052006068,0.000007189525],"category_scores_gemma":[0.0005175869,0.00003815862,0.000019827032,0.0010495168,0.0007193055,0.00080200424,0.00003230022,0.00014337011,0.000005011947],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004692462,0.00011363684,0.14228581,0.000012272231,0.0000055391033,6.9358236e-7,0.025942154,1.6494113e-8,0.0017482258,0.04306344,0.0028737886,0.7839075],"study_design_scores_gemma":[0.0002000499,0.00045367845,0.1943289,0.000041873067,0.000023311342,0.0000060106045,0.035332665,0.000023039325,0.0013262327,0.021470714,0.74654233,0.00025120642],"about_ca_topic_score_codex":0.000036310408,"about_ca_topic_score_gemma":0.00013710804,"teacher_disagreement_score":0.7836563,"about_ca_system_score_codex":0.00008242231,"about_ca_system_score_gemma":0.00041509894,"threshold_uncertainty_score":0.99823666},"labels":[],"label_agreement":null},{"id":"W3025369740","doi":"10.1186/s12966-020-00967-y","title":"Association between time-weighted activity space-based exposures to fast food outlets and fast food consumption among young adults in urban Canada","year":2020,"lang":"en","type":"article","venue":"International Journal of Behavioral Nutrition and Physical Activity","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo; University of Toronto","funders":"Economic and Social Research Council; Canada Research Chairs; Wellcome; Canadian Institutes of Health Research; Centre for Diet and Activity Research; University of Waterloo; National Institute for Health and Care Research; Public Health Agency of Canada; Cancer Research UK; British Heart Foundation; Wellcome Trust; Medical Research Council","keywords":"Consumption (sociology); Context (archaeology); Environmental health; Food consumption; Observational study; Demography; Cross-sectional study; Clinical nutrition; Medicine; Geography; Statistics; Mathematics; Agricultural economics; Economics","score_opus":0.025982822073210208,"score_gpt":0.29351557560061364,"score_spread":0.2675327535274034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3025369740","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99454415,0.00001640432,0.00015347084,0.004590441,0.00013509489,0.00023602728,0.0002912708,0.000013786726,0.000019346588],"genre_scores_gemma":[0.99934536,0.000008953652,0.000042891672,0.000063556,0.0005004742,0.0000070115398,0.000017034927,0.0000067161295,0.0000080068785],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984765,0.00018405191,0.000212798,0.0002095306,0.0007443701,0.0001727339],"domain_scores_gemma":[0.9989271,0.00014465122,0.000315483,0.00004003792,0.0002617493,0.000310989],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019859862,0.00012877873,0.00027782147,0.00008374407,0.00011601393,0.00011412524,0.00014635161,0.00008701694,0.000022014356],"category_scores_gemma":[0.0000533089,0.0001304778,0.000078961195,0.00014602176,0.00008108056,0.0006290619,0.00002271089,0.00030869374,7.6625406e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037437284,0.00068045943,0.98920447,0.000018437317,0.00003986923,0.000009499704,0.00182278,0.000001970195,0.0016802275,0.000012866657,0.00019428688,0.0059607434],"study_design_scores_gemma":[0.0015264755,0.00035646497,0.9938162,0.000089505345,0.000048047594,3.211473e-7,0.00019570603,0.00011327992,0.0034176293,0.000089048306,0.00020275003,0.0001445464],"about_ca_topic_score_codex":0.041092556,"about_ca_topic_score_gemma":0.17220491,"teacher_disagreement_score":0.13111235,"about_ca_system_score_codex":0.00042362348,"about_ca_system_score_gemma":0.0001656512,"threshold_uncertainty_score":0.9652929},"labels":[],"label_agreement":null},{"id":"W3025754096","doi":"10.1017/cem.2020.287","title":"P081: The summer of the e-scooter: a multicenter evaluation of the emergency department impact of rentable motorized scooters in Calgary","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Emergency Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Medicine; Emergency department; Medical emergency; Incidence (geometry); Triage; Injury prevention; Occupational safety and health; Poison control; Demographics; Emergency medicine; Demography","score_opus":0.139920880775355,"score_gpt":0.39627515486707515,"score_spread":0.2563542740917202,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3025754096","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9894041,0.0016963742,0.000013679774,0.004646775,0.0025905566,0.00054239953,0.00001712853,8.9252757e-7,0.0010880863],"genre_scores_gemma":[0.9994781,0.00015899583,0.000006693059,0.000049290553,0.00023303926,0.0000036518395,0.000001677495,0.000006840534,0.00006170671],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99718726,0.0005147647,0.0010771337,0.00011305076,0.0008568945,0.00025091178],"domain_scores_gemma":[0.9983224,0.00003496497,0.0006414635,0.00024783914,0.00048392886,0.00026939335],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0023609947,0.00011350333,0.00031304808,0.000066111694,0.00013966177,0.0000016615181,0.00070916646,0.000054870943,0.0056129866],"category_scores_gemma":[0.0009523118,0.000053474705,0.000303692,0.00084758893,0.00033679733,0.00013533107,0.000016693095,0.0002234827,3.5884312e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058640282,0.00003381246,0.97578645,0.000025341327,0.00007648544,8.945461e-7,0.015668578,0.0001654536,0.0020564937,0.000013197572,0.0058295163,0.00028515508],"study_design_scores_gemma":[0.0010868718,0.00014215632,0.9934695,0.00018660602,0.00030188423,1.4444137e-7,0.0020170116,0.00027594014,0.0003946137,0.00022650068,0.0018293844,0.00006939142],"about_ca_topic_score_codex":0.12757948,"about_ca_topic_score_gemma":0.2856302,"teacher_disagreement_score":0.1580507,"about_ca_system_score_codex":0.00021822164,"about_ca_system_score_gemma":0.0015397102,"threshold_uncertainty_score":0.995296},"labels":[],"label_agreement":null},{"id":"W3025930499","doi":"","title":"Macro-, Meso-, and Microlevel Validation of an Activity-Based Travel Demand Model","year":2014,"lang":"en","type":"article","venue":"Transportation Research Board 93rd Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transferability; Context (archaeology); Macro; Population; Travel behavior; Census; Geography; Computer science; Econometrics; Transport engineering; Demography; Economics; Engineering; Sociology","score_opus":0.07453536409845525,"score_gpt":0.4086637862212839,"score_spread":0.33412842212282867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3025930499","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97908914,0.00007333122,0.015017551,0.0016383782,0.00008664295,0.0016296508,0.00044857926,0.0001682044,0.0018485012],"genre_scores_gemma":[0.99325615,0.00011864772,0.0051222118,0.000063692954,0.00017935262,0.00021978577,0.00038610058,0.000083874336,0.00057016354],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98825645,0.0028297796,0.0012080946,0.0013550951,0.0047016526,0.0016489283],"domain_scores_gemma":[0.9926776,0.001435025,0.00033385257,0.0006793285,0.003910049,0.00096412713],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.015579708,0.00042615915,0.0007160097,0.0012355078,0.0018556588,0.00025517275,0.00088961323,0.0005346673,0.00019776348],"category_scores_gemma":[0.00052903267,0.0004522795,0.00023235669,0.0019802756,0.0026384247,0.0017894969,0.000010862772,0.0014024354,0.000014417021],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005701451,0.0031126703,0.6669855,0.0026283416,0.00023188625,0.000072009374,0.11297457,0.016544024,0.1277215,0.04153844,0.0009213962,0.021568194],"study_design_scores_gemma":[0.0031670453,0.0008589625,0.8903066,0.00026675194,0.00009915841,8.279382e-8,0.011150766,0.011725715,0.06866612,0.011031334,0.0019011563,0.00082632486],"about_ca_topic_score_codex":0.021630501,"about_ca_topic_score_gemma":0.041712783,"teacher_disagreement_score":0.22332107,"about_ca_system_score_codex":0.0001662589,"about_ca_system_score_gemma":0.001176182,"threshold_uncertainty_score":0.9997929},"labels":[],"label_agreement":null},{"id":"W3026060495","doi":"","title":"Planning Healthy Cities: Privately-owned publicly-accessible spaces in Toronto","year":2019,"lang":"en","type":"article","venue":"YorkSpace (York University)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business; Geography; Environmental planning","score_opus":0.026766311873748585,"score_gpt":0.2845893557798561,"score_spread":0.25782304390610755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3026060495","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75154644,0.00040521365,0.000078605066,0.0016219587,0.00038586126,0.00036227968,0.0000056734857,0.00018570478,0.24540828],"genre_scores_gemma":[0.9697249,0.00010097309,0.00037083495,0.00014943787,0.00011325901,0.0000011880677,0.000012004393,0.000014902329,0.02951252],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979895,0.0001936837,0.00019293345,0.0005252049,0.00040159267,0.0006971384],"domain_scores_gemma":[0.9990145,0.00013067239,0.00016962813,0.00035722656,0.000068478614,0.00025948352],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005215889,0.00019234535,0.00031747483,0.00025164697,0.0004398059,0.0002340667,0.00083783397,0.00023545377,0.0017924465],"category_scores_gemma":[0.00003760398,0.00021364266,0.00009609501,0.0012063598,0.00020887141,0.0019945365,0.00009009348,0.00025674616,0.000051789946],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016221292,0.00008286804,0.9661027,0.000041485833,0.000015049617,0.00003061886,0.014214721,0.00004741454,0.000019298152,0.018161677,0.00076906127,0.00035284998],"study_design_scores_gemma":[0.0017563693,0.00013521104,0.25580034,0.00019535278,0.000022423766,2.5749424e-7,0.23532231,0.00006025113,0.000044058128,0.00043759934,0.505563,0.0006628068],"about_ca_topic_score_codex":0.07554739,"about_ca_topic_score_gemma":0.16710457,"teacher_disagreement_score":0.7103024,"about_ca_system_score_codex":0.0010260695,"about_ca_system_score_gemma":0.0004886412,"threshold_uncertainty_score":0.99912006},"labels":[],"label_agreement":null},{"id":"W3028154812","doi":"10.1080/23800127.2020.1764255","title":"Routes and roots: factors that drive labour mobility in Newfoundland and Labrador, Canada","year":2020,"lang":"en","type":"article","venue":"Applied Mobilities","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Spouse; Salary; Work (physics); Geography; Demographic economics; Capital (architecture); Capital city; Labour economics; Economic geography; Sociology; Political science; Economics; Engineering","score_opus":0.018200740601728552,"score_gpt":0.23402560450206455,"score_spread":0.215824863900336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3028154812","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946683,0.00043469376,0.000007604863,0.0009971319,0.0000615686,0.00042544724,0.000066654735,0.000055426994,0.0032831845],"genre_scores_gemma":[0.999219,0.000063209125,0.0000347889,0.000381958,0.000055650155,0.000030955987,0.000010230332,0.000009178145,0.00019501953],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987061,0.000054264157,0.00021286434,0.00043183213,0.0002670811,0.00032787013],"domain_scores_gemma":[0.99925804,0.00029959105,0.00005328976,0.00013734483,0.000026550295,0.00022515704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024394192,0.00016702588,0.00028284878,0.000023039167,0.0002460814,0.00010030962,0.00015642753,0.000089566805,0.000121524805],"category_scores_gemma":[0.00006840329,0.0001508687,0.000021460866,0.00017266437,0.0005045404,0.00023219782,0.000048520655,0.00016676006,5.9676e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021955015,0.000022543083,0.9719767,0.00005858975,0.000007744796,0.0000022056859,0.02131555,0.0000025941297,0.000029935984,0.005946688,0.000044674725,0.0005707991],"study_design_scores_gemma":[0.00028697719,0.000014784106,0.94271046,0.0000063858465,0.000007993539,4.1582663e-8,0.048150763,0.0000069409143,0.00008889164,0.0034244668,0.0051233163,0.00017895945],"about_ca_topic_score_codex":0.93709886,"about_ca_topic_score_gemma":0.99064475,"teacher_disagreement_score":0.053545903,"about_ca_system_score_codex":0.00016859446,"about_ca_system_score_gemma":0.0003594991,"threshold_uncertainty_score":0.61522466},"labels":[],"label_agreement":null},{"id":"W3028182393","doi":"","title":"Analyzing housing market dynamics and residential location choices concurrent with light-rail transit investment in Kitchener-Waterloo, Canada","year":2020,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Investment (military); Transit (satellite); Transport engineering; Light rail transit; Business; Geography; Engineering; Public transport; Political science","score_opus":0.007944414195037214,"score_gpt":0.2074120600771114,"score_spread":0.1994676458820742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3028182393","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99627167,0.0002825662,0.000075543816,0.0019599292,0.00020351147,0.0003508394,0.00003167419,0.000029302259,0.0007949873],"genre_scores_gemma":[0.96991485,0.00014384532,0.00023689169,0.000021893924,0.000045786586,7.005913e-7,0.00044007314,0.000017462477,0.029178467],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99841934,0.00013640316,0.00019859335,0.00047898435,0.00046604633,0.000300643],"domain_scores_gemma":[0.9992183,0.000028946399,0.00027754705,0.00014075548,0.00015837932,0.00017607519],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00022511205,0.00023147347,0.00042052186,0.00018055207,0.0003651018,0.00006762445,0.00029860443,0.0001956177,0.00008792611],"category_scores_gemma":[0.00000936458,0.00025361692,0.000055976463,0.00046164717,0.00016024451,0.00041992747,0.00001731513,0.0002553569,5.554619e-7],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00082512636,0.00016267605,0.30632696,0.0019596163,0.0002887008,0.0002526676,0.6835782,0.00009869204,0.00052056415,0.0006520087,0.0006997746,0.0046350183],"study_design_scores_gemma":[0.0019072809,0.00013640976,0.34345946,0.0011958639,0.0007111496,3.2508572e-7,0.64777,0.0014137691,0.00086306746,0.00015182623,0.0013726135,0.0010182717],"about_ca_topic_score_codex":0.97625214,"about_ca_topic_score_gemma":0.99984485,"teacher_disagreement_score":0.037132498,"about_ca_system_score_codex":0.00047399613,"about_ca_system_score_gemma":0.0010311367,"threshold_uncertainty_score":0.9999916},"labels":[],"label_agreement":null},{"id":"W3028267278","doi":"10.1111/cag.12622","title":"Workplace mobility in Canadian urban agglomerations, 1996 to 2016: Have workers really flown the coop?","year":2020,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"McGill University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Census; Metropolitan area; Urban agglomeration; Work (physics); Demographic economics; Geographic mobility; Journey to work; Geography; Population; Variety (cybernetics); Occupational mobility; Economic geography; Transport engineering; Sociology; Demography; Engineering; Computer science; Economics; Public transport","score_opus":0.011880708899281937,"score_gpt":0.22922182147747996,"score_spread":0.21734111257819802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3028267278","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9123255,0.0024800845,0.000003523377,0.065080374,0.000781015,0.0018480722,0.0005968906,0.0001485324,0.016735982],"genre_scores_gemma":[0.9909346,0.00041985934,0.00008172961,0.0069950856,0.00043023884,0.00022896724,0.00011909346,0.000049448354,0.0007409422],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9945732,0.0003588723,0.00072455674,0.0010625826,0.00048769766,0.0027931172],"domain_scores_gemma":[0.9922439,0.0002525339,0.00012631825,0.00080273516,0.00030178003,0.0062727565],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0012922129,0.0005188553,0.0005403161,0.0024755506,0.0026795685,0.00047594355,0.0015623152,0.0003522652,0.0004334795],"category_scores_gemma":[0.00062396063,0.00048999756,0.0003425914,0.01107835,0.0023379617,0.00053601793,0.000040672196,0.0006341683,0.000033981247],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000319877,0.000017199674,0.9212092,0.00001979681,0.000059209862,0.00008794776,0.017654128,0.00007317159,0.0000016680535,0.0019529305,0.057103276,0.0017894605],"study_design_scores_gemma":[0.00019218739,0.000050560706,0.5787554,0.000053096926,0.000035706722,7.137853e-7,0.028683575,0.000015764876,0.0000019626045,0.00034502233,0.39132923,0.00053678075],"about_ca_topic_score_codex":0.99939823,"about_ca_topic_score_gemma":0.99999833,"teacher_disagreement_score":0.3424538,"about_ca_system_score_codex":0.0006779436,"about_ca_system_score_gemma":0.004134472,"threshold_uncertainty_score":0.99975514},"labels":[],"label_agreement":null},{"id":"W3028406322","doi":"10.1177/2158244020924036","title":"Rural Transportation Conference Participants’ Opinions and Concerns Pertaining to Transit for Older Adults","year":2020,"lang":"en","type":"article","venue":"SAGE Open","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"National Institute of Food and Agriculture","keywords":"Rurality; Disadvantaged; Public transport; Socioeconomic status; Economic growth; Rural area; Business; Gerontology; Political science; Medicine; Environmental health; Population; Economics","score_opus":0.10479900146628986,"score_gpt":0.3785044453386702,"score_spread":0.2737054438723804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3028406322","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98018414,0.000057671397,0.005608288,0.010753514,0.00007949994,0.0015823859,0.00020851435,0.00004289014,0.0014831126],"genre_scores_gemma":[0.9981296,0.000012331281,0.00055177865,0.0008238094,0.00010224847,0.000118381155,0.00007763496,0.000007957857,0.00017625136],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9991339,0.00003597079,0.0001854976,0.00025016005,0.0001235422,0.0002709546],"domain_scores_gemma":[0.999497,0.00005573973,0.000036627167,0.00007095369,0.000055821147,0.00028384477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021574293,0.00008343431,0.00016910178,0.000010173778,0.00033501242,0.0001635329,0.00029185216,0.000048261238,0.00045453565],"category_scores_gemma":[0.00004319934,0.00008027166,0.000037915408,0.00012755756,0.000088703455,0.00040919622,0.000008316961,0.000057149373,0.000004308974],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00058266916,0.000072586336,0.27510232,0.00010992845,0.000035461042,0.0000054042057,0.6643813,0.000018580155,0.00027063972,0.0043350137,0.00057327945,0.05451283],"study_design_scores_gemma":[0.0027713133,0.00021156571,0.8876203,0.0002917815,0.00008012178,3.6584137e-8,0.08911255,0.00036924967,0.00042116415,0.00052600895,0.01815804,0.00043787446],"about_ca_topic_score_codex":0.0027045682,"about_ca_topic_score_gemma":0.016934264,"teacher_disagreement_score":0.612518,"about_ca_system_score_codex":0.000010811877,"about_ca_system_score_gemma":0.00012279533,"threshold_uncertainty_score":0.94497174},"labels":[],"label_agreement":null},{"id":"W3028553326","doi":"10.2139/ssrn.3529752","title":"Productivity and Health: Physical Activity as a Measure of Effort","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Measure (data warehouse); Productivity; Business; Economics; Computer science; Economic growth; Data mining","score_opus":0.0331958723438653,"score_gpt":0.32645930169888404,"score_spread":0.29326342935501876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3028553326","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97823364,0.0007640881,0.00040552957,0.019548682,0.000046324727,0.00016844786,0.000001474571,0.000023487903,0.00080832955],"genre_scores_gemma":[0.9990516,0.00024855128,0.000010166425,0.0000649693,0.00051614916,0.0000015038498,3.3419306e-7,0.000006600321,0.00010013672],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981618,0.00012356465,0.00012478272,0.00020687493,0.00039483493,0.0009881696],"domain_scores_gemma":[0.9994838,0.000018718778,0.0001624718,0.0000755103,0.000070958136,0.00018849502],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020224848,0.000087832435,0.00023732573,0.000020156904,0.00034442468,0.000025525733,0.00016423002,0.0000408587,0.0000105959625],"category_scores_gemma":[0.00009222071,0.00007578293,0.00008621989,0.00022620095,0.000193238,0.00032489924,0.000014429229,0.0009875353,0.0000022132385],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041722413,0.0008057779,0.5788876,0.00010262994,0.00021491258,0.0000036379095,0.025122259,0.000003767369,0.0021222045,0.09188433,0.0001204343,0.30031526],"study_design_scores_gemma":[0.0018325826,0.0021935808,0.6620501,0.00006696598,0.0001241901,0.000023285043,0.008150225,0.000069411275,0.0030499478,0.31739873,0.004442622,0.0005983509],"about_ca_topic_score_codex":0.0017243883,"about_ca_topic_score_gemma":0.0067248037,"teacher_disagreement_score":0.29971692,"about_ca_system_score_codex":0.0002551239,"about_ca_system_score_gemma":0.0041208267,"threshold_uncertainty_score":0.731017},"labels":[],"label_agreement":null},{"id":"W3030582676","doi":"10.3390/ijerph17113847","title":"Active School Transport among Children from Canada, Colombia, Finland, South Africa, and the United States: A Tale of Two Journeys","year":2020,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Lethbridge; Children's Hospital of Eastern Ontario; University of Ottawa","funders":"National Institute of General Medical Sciences; Coca-Cola","keywords":"Socioeconomic status; Perception; Geography; Demography; Injury prevention; Human factors and ergonomics; Poison control; Odds; Suicide prevention; Car ownership; Occupational safety and health; Multilevel model; Psychology; Demographic economics; Environmental health; Logistic regression; Medicine; Political science; Sociology; Public transport; Economics; Population","score_opus":0.04527929198918609,"score_gpt":0.3311799827599938,"score_spread":0.2859006907708077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3030582676","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97661555,0.0004969881,0.000059020153,0.021784246,0.000044688408,0.00019931841,0.0006083385,0.0000015088792,0.00019033482],"genre_scores_gemma":[0.9980048,0.001204642,0.000028775019,0.00046687116,0.00017780147,0.0000022195416,0.000057151046,0.000004924071,0.00005284105],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974718,0.00042280662,0.00039420257,0.00013707255,0.0012967997,0.00027732275],"domain_scores_gemma":[0.998527,0.0003254261,0.00026912516,0.000053475305,0.00010630853,0.0007186839],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001666341,0.000070824426,0.00019455743,0.000095065916,0.00025861547,0.00007281015,0.00040314792,0.000031688425,0.00052695343],"category_scores_gemma":[0.00020679741,0.000050801482,0.00004284618,0.00015761473,0.0010097264,0.00031021776,0.00004059994,0.00047932361,8.0347667e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033336066,0.00011112114,0.97603774,0.000003490727,0.00013681683,0.000012736292,0.02068944,0.000005194657,0.00000885198,0.000082949526,0.00037494616,0.0022033483],"study_design_scores_gemma":[0.0019262574,0.00013604006,0.9781788,0.000020355757,0.0000054944885,0.0000010470201,0.015580311,0.000040991486,0.000011754982,0.0007160308,0.0033342864,0.000048622016],"about_ca_topic_score_codex":0.49646428,"about_ca_topic_score_gemma":0.17164342,"teacher_disagreement_score":0.32482088,"about_ca_system_score_codex":0.0002607993,"about_ca_system_score_gemma":0.0012895281,"threshold_uncertainty_score":0.84347194},"labels":[],"label_agreement":null},{"id":"W3030848879","doi":"10.1016/j.tra.2020.05.006","title":"An empirical reappraisal of the four types of cyclists","year":2020,"lang":"en","type":"article","venue":"Transportation Research Part A Policy and Practice","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; City, University of London","keywords":"Typology; Cycling; Psychology; Applied psychology; Correspondence analysis; Sample (material); Computer science; Geography; Machine learning","score_opus":0.2700898486738945,"score_gpt":0.5410083764412463,"score_spread":0.2709185277673518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3030848879","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93144727,0.00007978594,0.0000785553,0.050045937,0.000033189022,0.00028434602,0.00007041218,0.000019384517,0.017941143],"genre_scores_gemma":[0.99894696,0.00011827062,0.0001813078,0.0004242147,0.00021316619,0.0000065571153,0.000008072499,0.000005089809,0.000096374606],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977836,0.00091468793,0.00026311682,0.00017358051,0.0006629859,0.00020201257],"domain_scores_gemma":[0.99783915,0.0013808389,0.00012291854,0.0001479128,0.00033419172,0.00017495979],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019393244,0.000055121494,0.00012664469,0.000042464468,0.00025573195,0.000023803013,0.00024083134,0.00007390411,0.000105527455],"category_scores_gemma":[0.0024932264,0.00004187631,0.000045572808,0.00077539036,0.00071586046,0.00054487266,0.0000040281748,0.00024071214,0.0000023233729],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014510151,0.00044986414,0.7515213,0.00027198854,0.00006797431,0.000010829091,0.15119311,0.00005020798,0.0027936806,0.08677583,0.002038052,0.003376128],"study_design_scores_gemma":[0.00025623522,0.000116484705,0.78528035,0.00001755607,0.000032888234,1.4258269e-7,0.00428085,0.000033734996,0.0005883138,0.0009839614,0.20834124,0.00006827053],"about_ca_topic_score_codex":0.011652495,"about_ca_topic_score_gemma":0.0052050613,"teacher_disagreement_score":0.2063032,"about_ca_system_score_codex":0.0000061664755,"about_ca_system_score_gemma":0.00053122995,"threshold_uncertainty_score":0.994929},"labels":[],"label_agreement":null},{"id":"W3031858855","doi":"10.3390/ijerph17113837","title":"Neighborhood Built Environment Measures and Association with Physical Activity and Sedentary Time in 9–14-Year-Old Children in Saskatoon, Canada","year":2020,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Saskatchewan","funders":"Canadian Institutes of Health Research","keywords":"Physical activity; Demography; Multilevel model; Psychology; Level design; Human factors and ergonomics; Injury prevention; Built environment; Suicide prevention; Occupational safety and health; Poison control; Perception; Association (psychology); Gerontology; Medicine; Environmental health; Physical therapy; Ecology","score_opus":0.03176880719860265,"score_gpt":0.3163399700406994,"score_spread":0.28457116284209677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3031858855","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95527107,0.00020985761,0.0000054337092,0.044192765,0.00001640488,0.00014505057,0.000046523197,0.0000014329677,0.000111476584],"genre_scores_gemma":[0.9985723,0.00082207966,0.000017374881,0.00039005087,0.0001345735,0.0000019976715,0.000006456485,0.0000047232375,0.000050471932],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976656,0.00031843537,0.0001864666,0.00017760186,0.0013642104,0.00028771543],"domain_scores_gemma":[0.9992534,0.00015643549,0.00012658263,0.000035892826,0.000021179529,0.00040649888],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014816832,0.000071806615,0.00016146505,0.000087642606,0.000105135805,0.00009023365,0.00015439872,0.000037532365,0.00006660689],"category_scores_gemma":[0.00008673926,0.00006236642,0.0000135176315,0.00008197011,0.00018231102,0.00046757123,0.000055325385,0.00042887655,7.4716894e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000121787474,0.00028163366,0.9879066,0.0000036642414,0.000028985114,0.000015219901,0.0016525163,0.0000018274535,0.00009423601,0.000023537632,0.00016007363,0.009709941],"study_design_scores_gemma":[0.0008010636,0.00022995652,0.9969976,0.0000132993655,0.0000013783356,0.0000023816706,0.0007206876,0.000029589239,0.000016210948,0.00014970933,0.0009837012,0.00005441867],"about_ca_topic_score_codex":0.13328843,"about_ca_topic_score_gemma":0.24303734,"teacher_disagreement_score":0.109748915,"about_ca_system_score_codex":0.0010208468,"about_ca_system_score_gemma":0.00056471454,"threshold_uncertainty_score":0.8724831},"labels":[],"label_agreement":null},{"id":"W3031988363","doi":"10.2139/ssrn.3164281","title":"'More than Waiting for the Bus' - Rethinking Sites Surrounding Bus Stops","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Concordia University","keywords":"Transport engineering; Computer science; Local bus; Business; Computer network; Engineering; Control bus; System bus; Operating system","score_opus":0.04471687086764422,"score_gpt":0.3396122170689823,"score_spread":0.2948953462013381,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3031988363","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9835964,0.0024174382,0.0030001546,0.008107259,0.0005698806,0.0002564111,0.0000030045653,0.00004576422,0.0020037259],"genre_scores_gemma":[0.9949378,0.00077136053,0.00008556797,0.00006616403,0.0018108045,0.000007406632,0.0000024551075,0.000017851506,0.0023006313],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99691516,0.00008980363,0.00026125315,0.00022022545,0.00042677936,0.0020867572],"domain_scores_gemma":[0.99870145,0.0003474449,0.00041368377,0.0003049413,0.00014891422,0.0000835802],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00769108,0.00013284301,0.000172545,0.00003811718,0.009332383,0.00085631735,0.0011814494,0.00010192562,0.000032540767],"category_scores_gemma":[0.000720675,0.000093662566,0.00020674354,0.00008022765,0.00035095293,0.00079792994,0.000036208567,0.001363678,0.000003157328],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006483701,0.000038562077,0.7174271,0.000014415422,0.00015903855,0.0000045018132,0.014924957,0.000007407336,0.00022461695,0.23610198,0.00007778776,0.030954832],"study_design_scores_gemma":[0.00094019074,0.000113907205,0.13586985,0.00010723364,0.00019392702,0.000019627003,0.047394123,0.00040709678,0.00014993857,0.8053237,0.009022959,0.00045742097],"about_ca_topic_score_codex":0.0024941184,"about_ca_topic_score_gemma":0.05821765,"teacher_disagreement_score":0.5815572,"about_ca_system_score_codex":0.00046524798,"about_ca_system_score_gemma":0.0016621923,"threshold_uncertainty_score":0.9919573},"labels":[],"label_agreement":null},{"id":"W3032803589","doi":"10.1016/j.healthplace.2020.102357","title":"Associations between the neighbourhood characteristics and body mass index, waist circumference, and waist-to-hip ratio: Findings from Alberta's Tomorrow Project","year":2020,"lang":"en","type":"article","venue":"Health & Place","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Alberta Health Services; University of Calgary","funders":"Canadian Institutes of Health Research; Alberta Health; Alberta Cancer Foundation; University of Calgary; Alberta Health Services","keywords":"Walkability; Waist; Overweight; Body mass index; Obesity; Population; Medicine; Demography; Normalized Difference Vegetation Index; Neighbourhood (mathematics); Waist–hip ratio; Geography; Environmental health; Gerontology; Physical therapy; Physical activity; Internal medicine; Mathematics","score_opus":0.03862502177291984,"score_gpt":0.31442898470900144,"score_spread":0.2758039629360816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3032803589","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9477312,0.00010095619,0.0005887806,0.04840416,0.00014975508,0.0007330077,0.0006329785,0.000065826986,0.001593346],"genre_scores_gemma":[0.9958136,0.00006279247,0.00011381738,0.0029535692,0.00046450732,0.000023874092,0.00018490797,0.0000135068085,0.0003694095],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981244,0.0002474206,0.00040976144,0.00042586503,0.00035522485,0.00043730732],"domain_scores_gemma":[0.99843884,0.00074679486,0.00020765711,0.00015487547,0.00006736663,0.00038447604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000684436,0.00016442471,0.00036251752,0.000035046036,0.0011980279,0.0002783373,0.00024825323,0.00012805712,0.00009175669],"category_scores_gemma":[0.00054103695,0.00013630978,0.000035526406,0.0003893823,0.00015422673,0.00023393965,0.000038761336,0.0003281341,0.000013422698],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017493787,0.000015906195,0.9792128,0.000022189946,0.000018697008,0.0000010834572,0.017641438,1.2738045e-7,0.000015756266,0.00046270862,0.0014749034,0.0011168519],"study_design_scores_gemma":[0.00024641448,0.000060747825,0.98847866,0.000021537122,0.00003238705,6.1948946e-8,0.0009252807,0.00010136171,0.000006956278,0.00029557484,0.009674055,0.00015693922],"about_ca_topic_score_codex":0.045309395,"about_ca_topic_score_gemma":0.01673937,"teacher_disagreement_score":0.048082426,"about_ca_system_score_codex":0.00012600925,"about_ca_system_score_gemma":0.0006790698,"threshold_uncertainty_score":0.96104795},"labels":[],"label_agreement":null},{"id":"W3032845510","doi":"","title":"The Effect of Walkability on the Prevalence of Diabetes in Toronto, ON","year":2020,"lang":"en","type":"article","venue":"Undergraduate Research Journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Walkability; Environmental health; Medicine; Type 2 diabetes; Diabetes mellitus; Physical activity; Index (typography); Gerontology; Physical therapy; Computer science; Endocrinology","score_opus":0.05470807121664123,"score_gpt":0.38727857238467905,"score_spread":0.3325705011680378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3032845510","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9514652,0.0005289221,0.0000019630045,0.038040806,0.00006190637,0.0003746826,0.0000048278175,0.0000054015304,0.009516297],"genre_scores_gemma":[0.99896675,0.0007128313,0.0000027231072,0.000029069744,0.00011399817,0.000008188678,1.4643688e-7,0.0000048339766,0.00016144411],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99450856,0.003107453,0.00034304513,0.00017161104,0.0014289703,0.0004403606],"domain_scores_gemma":[0.99421597,0.005101158,0.00012368712,0.00023068892,0.00018047164,0.00014804662],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01243697,0.0000811025,0.00017341015,0.000029391722,0.0006675981,0.000075567565,0.0008672484,0.00004743765,0.00015949944],"category_scores_gemma":[0.0037142355,0.00003858821,0.000122052035,0.0003820169,0.0010875361,0.00016172994,0.00004101012,0.00073441566,0.000004867654],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003401842,0.00010038458,0.97648454,0.00020583464,0.000026875414,0.000002839342,0.0018114545,0.000014240885,0.0005175703,0.011494283,0.00075932324,0.008242501],"study_design_scores_gemma":[0.001116298,0.004249821,0.9094678,0.0005220593,0.00002610587,1.5483634e-7,0.0028223314,0.0003801855,0.021269964,0.05747098,0.0024772247,0.00019704783],"about_ca_topic_score_codex":0.0011691288,"about_ca_topic_score_gemma":0.0032665348,"teacher_disagreement_score":0.06701668,"about_ca_system_score_codex":0.00025004192,"about_ca_system_score_gemma":0.0002247888,"threshold_uncertainty_score":0.5134692},"labels":[],"label_agreement":null},{"id":"W3033126852","doi":"","title":"Shaping Vancouver Series 2015: What is Neighbourhood Character?","year":2015,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Neighbourhood (mathematics); Series (stratigraphy); Character (mathematics); Computer science; Mathematics; Geology","score_opus":0.057707913577231686,"score_gpt":0.3214914323069363,"score_spread":0.26378351872970457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3033126852","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7183076,0.0011043182,0.00030711837,0.012401316,0.004317889,0.00034723687,0.000008695739,0.00039605377,0.26280978],"genre_scores_gemma":[0.9678235,0.00011156133,0.00022929016,0.0011872501,0.0004821394,0.0000056573185,0.0000035313135,0.000008177583,0.030148868],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988758,0.000042877644,0.00017311246,0.00023112973,0.00037037508,0.0003067259],"domain_scores_gemma":[0.99937093,0.000018012208,0.00005637927,0.00017824156,0.0001417107,0.0002347002],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004809929,0.00009821274,0.00014079938,0.000029216058,0.00023303938,0.00030999968,0.00024637752,0.00008834732,0.0040367316],"category_scores_gemma":[0.000026268848,0.00008264524,0.00006306907,0.00017954582,0.00016259433,0.0038930122,0.00002392981,0.000089603986,0.00017784575],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011535576,0.00029498365,0.6220796,0.000039551767,0.000067611945,0.000025169653,0.11956105,0.0000015910524,0.00014820142,0.011791443,0.19703779,0.048837636],"study_design_scores_gemma":[0.0007719613,0.00007851727,0.15895966,0.00007062964,0.000038611346,3.5539148e-7,0.07218936,0.00003397649,0.0013592687,0.018896282,0.7469252,0.00067623577],"about_ca_topic_score_codex":0.0026462178,"about_ca_topic_score_gemma":0.016855698,"teacher_disagreement_score":0.54988736,"about_ca_system_score_codex":0.00006418977,"about_ca_system_score_gemma":0.00020443091,"threshold_uncertainty_score":0.99687374},"labels":[],"label_agreement":null},{"id":"W3033486119","doi":"10.25312/2391-5129.29/2019_12jj","title":"Sharing means of transport in urban areas","year":2020,"lang":"en","type":"article","venue":"Zarządzanie Innowacyjne w Gospodarce i Biznesie","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Transport Canada","funders":"","keywords":"Renting; Popularity; Recreation; Public transport; Transport engineering; Work (physics); Personal mobility; Business; Computer science; Telecommunications; Engineering; Civil engineering","score_opus":0.03726626608877425,"score_gpt":0.28836487189296617,"score_spread":0.2510986058041919,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3033486119","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9574539,0.0002883083,0.00037843888,0.003584002,0.00018227656,0.00050651643,0.000041565705,0.00021234852,0.037352636],"genre_scores_gemma":[0.9982465,0.0000506752,0.0003410774,0.00048962235,0.0003317319,0.000016701124,0.000036801808,0.000037915586,0.00044897856],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9967642,0.00010826176,0.0009339566,0.0007391423,0.0007554151,0.0006990162],"domain_scores_gemma":[0.9986877,0.000111492656,0.0002563685,0.00041411162,0.00018062234,0.00034973104],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009761536,0.00028748452,0.0005946986,0.00017242251,0.00020782086,0.00004133256,0.0010954632,0.00022660576,0.00091572147],"category_scores_gemma":[0.00025019658,0.00029871595,0.00021115833,0.0019136956,0.0004957959,0.0006185319,0.000055857327,0.0004006201,0.000042372292],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012158731,0.00017745318,0.96768457,0.000102689315,0.000018847346,0.000058724607,0.024085185,0.000033480123,0.00061411585,0.0053678704,0.00020364279,0.0015318552],"study_design_scores_gemma":[0.0011059504,0.000103786864,0.9702131,0.000110629975,0.000049038106,3.9419845e-7,0.003750728,0.00018858623,0.001753219,0.0020465779,0.020130234,0.0005477643],"about_ca_topic_score_codex":0.00444639,"about_ca_topic_score_gemma":0.0069974395,"teacher_disagreement_score":0.04079259,"about_ca_system_score_codex":0.0001128159,"about_ca_system_score_gemma":0.00040858056,"threshold_uncertainty_score":0.99999756},"labels":[],"label_agreement":null},{"id":"W3033771596","doi":"10.1155/2020/4040252","title":"Study on Accessibility of Feeder Lines with Different Geometric Shapes","year":2020,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Line (geometry); Universality (dynamical systems); Transport engineering; Computer science; Routing (electronic design automation); Simulation; Engineering; Mathematics; Geometry; Computer network","score_opus":0.03873501919775113,"score_gpt":0.3296175391940304,"score_spread":0.2908825199962793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3033771596","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99755645,0.000099449404,0.0012188328,0.000550878,0.000108660315,0.00032154878,0.000010665942,0.000017636867,0.00011586724],"genre_scores_gemma":[0.9993988,0.000028632834,0.00033502668,0.000057284808,0.0001541858,0.0000030562896,0.0000041564604,0.000009359448,0.000009475372],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99814194,0.00007008196,0.00068480434,0.0001950311,0.0007595734,0.00014854081],"domain_scores_gemma":[0.99856883,0.00011528699,0.0006728631,0.00007939361,0.00041028144,0.00015336728],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030169683,0.00012992459,0.0003766787,0.00013300664,0.00010974148,0.000023004899,0.00025103716,0.000046358527,0.00007000565],"category_scores_gemma":[0.00008137423,0.00008874795,0.00012280664,0.000777292,0.00009855659,0.0006267222,0.0000013008032,0.00019980251,4.709109e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010266867,0.0007933513,0.9722487,0.00004759193,0.000055342774,0.000021609218,0.01933724,0.0025335771,0.0004583637,0.000039983257,0.0000046316477,0.0034329218],"study_design_scores_gemma":[0.0012939458,0.0012120085,0.9841613,0.000044310862,0.000101722544,7.505332e-8,0.011719064,0.0000020454654,0.0011598999,0.00014914334,0.000060491027,0.000095980446],"about_ca_topic_score_codex":0.000045280995,"about_ca_topic_score_gemma":0.00091811,"teacher_disagreement_score":0.011912614,"about_ca_system_score_codex":0.00003492244,"about_ca_system_score_gemma":0.00010298777,"threshold_uncertainty_score":0.36190364},"labels":[],"label_agreement":null},{"id":"W3034248128","doi":"10.1016/j.trd.2020.102412","title":"Electric bicycle mode substitution for driving, public transit, conventional cycling, and walking","year":2020,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":139,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Public transport; Context (archaeology); Mode choice; TRIPS architecture; Substitution (logic); Transit (satellite); Mode (computer interface); China; Transport engineering; Displacement (psychology); Cycling; Travel behavior; Geography; Advertising; Engineering; Business; Psychology; Computer science","score_opus":0.087675105309605,"score_gpt":0.35073860705975823,"score_spread":0.26306350175015325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3034248128","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9733085,0.0005545487,0.019244539,0.005289448,0.00005311244,0.0010378134,0.00009862254,0.00008782653,0.00032558973],"genre_scores_gemma":[0.9967945,0.001697305,0.0004545489,0.00010350913,0.00021584643,0.00017871316,0.00039897626,0.000022748194,0.00013381653],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99727607,0.00010855208,0.00047629647,0.00065028784,0.00082088436,0.00066790904],"domain_scores_gemma":[0.9990656,0.0001237658,0.00007089261,0.00011909675,0.00006697358,0.0005536848],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010990903,0.00019386895,0.0002650104,0.00012094597,0.0011037678,0.000071982955,0.00017140715,0.00015846344,0.00042779],"category_scores_gemma":[0.000018634675,0.00020439294,0.00012259188,0.00030298464,0.000623138,0.00054615905,0.0000023683135,0.0003050362,0.0000068175164],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021133853,0.00023813621,0.96368766,0.00022631734,0.00007345231,0.00001604943,0.011729528,0.00014958666,0.0026251012,0.0154255405,0.00011323537,0.0055040335],"study_design_scores_gemma":[0.001409892,0.00017179076,0.89969623,0.000034131288,0.00008925059,1.4363025e-7,0.0010529652,0.0007439896,0.0005585939,0.0026170288,0.093270816,0.0003551728],"about_ca_topic_score_codex":0.00044898925,"about_ca_topic_score_gemma":0.002423076,"teacher_disagreement_score":0.09315758,"about_ca_system_score_codex":0.000058019465,"about_ca_system_score_gemma":0.00013724403,"threshold_uncertainty_score":0.8489401},"labels":[],"label_agreement":null},{"id":"W3034849979","doi":"10.5281/ekistics.v71i427-429.190","title":"Non-motorized mobility in cities of the future: College and university campuses as a pilot project","year":2004,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Sustainability; Library science; Political science; Sociology; Engineering","score_opus":0.015139364358601975,"score_gpt":0.26091225120605094,"score_spread":0.24577288684744897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3034849979","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9849307,0.000037649756,0.000005799769,0.000651031,0.000119650416,0.00050425844,0.00001645072,0.00001999207,0.013714452],"genre_scores_gemma":[0.9988082,0.000027069967,0.00008965639,0.000031306372,0.000039449867,0.0000016636762,4.0368099e-7,0.0000018078274,0.0010004536],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993723,0.00006607042,0.00010905304,0.00015359948,0.00016806448,0.00013089213],"domain_scores_gemma":[0.9997192,0.00003360928,0.000043462795,0.00012861646,0.000045141558,0.000029985884],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034663294,0.000059594295,0.00012552402,0.000032379376,0.00021208132,0.000008638577,0.00019472907,0.00004787263,0.000053063446],"category_scores_gemma":[0.000023926526,0.000041564366,0.000038462826,0.00042839316,0.00052892626,0.00018255759,0.000028899152,0.000075083786,4.958963e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001349227,0.00023850922,0.9709402,0.000030332469,0.0000069031444,0.0000032526132,0.011342085,9.0055767e-7,0.00016019159,0.017040374,0.000044575372,0.000057787307],"study_design_scores_gemma":[0.0010753638,0.000067726694,0.9506063,0.000017788518,0.000010623916,1.0353267e-7,0.038977474,8.0400514e-7,0.000399862,0.0063175843,0.0024391322,0.00008722854],"about_ca_topic_score_codex":0.05673023,"about_ca_topic_score_gemma":0.15930516,"teacher_disagreement_score":0.102574915,"about_ca_system_score_codex":0.00009686585,"about_ca_system_score_gemma":0.0005555893,"threshold_uncertainty_score":0.9495511},"labels":[],"label_agreement":null},{"id":"W3035007455","doi":"10.32866/001c.13207","title":"Identifying Unmarked Crosswalks at Bus Stops in Vancouver, Canada","year":2020,"lang":"en","type":"article","venue":"Findings","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Schema crosswalk; Pedestrian; Intersection (aeronautics); Transport engineering; Pedestrian crossing; Transit (satellite); Geography; Computer science; Engineering; Public transport","score_opus":0.02974041450930889,"score_gpt":0.277970601375027,"score_spread":0.2482301868657181,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3035007455","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9875657,0.00007385861,0.000014183733,0.0011243853,0.0008250355,0.0001299781,0.000015626298,0.000041804647,0.010209403],"genre_scores_gemma":[0.9940134,0.000006888819,0.00004279267,0.00062551186,0.00011659509,0.0000045477723,0.000006432043,0.000007558367,0.005176265],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99878716,0.00003705266,0.00020281969,0.0002672402,0.00036425208,0.00034149163],"domain_scores_gemma":[0.9996173,0.000056045432,0.000048163984,0.000085517255,0.000028519189,0.00016444917],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002651274,0.00008600551,0.00014504713,0.000023519471,0.0003734688,0.00005818878,0.00028744625,0.000066672204,0.0010341861],"category_scores_gemma":[0.0001355936,0.00009190322,0.00003991816,0.00042352325,0.000094494244,0.00023648462,0.000040962706,0.00015150988,0.000016482842],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022035327,0.0000093233075,0.9537045,0.000021480235,0.00000382083,0.00004369962,0.0110208625,0.000002459256,0.00016226333,0.00008286588,0.034675438,0.00025129924],"study_design_scores_gemma":[0.0004571897,0.000008387892,0.74818385,0.00002701419,0.0000085353995,5.7230725e-8,0.0027454738,0.000022185784,0.0005897625,0.00028736642,0.24742918,0.0002410259],"about_ca_topic_score_codex":0.762498,"about_ca_topic_score_gemma":0.99493945,"teacher_disagreement_score":0.23244141,"about_ca_system_score_codex":0.0004610027,"about_ca_system_score_gemma":0.0004751461,"threshold_uncertainty_score":0.999879},"labels":[],"label_agreement":null},{"id":"W3035183243","doi":"10.1016/j.healthplace.2020.102352","title":"Thinking relationally about built environments and walkability: A study of adult walking behavior in Waterloo, Ontario","year":2020,"lang":"en","type":"article","venue":"Health & Place","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University; Toronto Metropolitan University; University of Waterloo","funders":"University of Waterloo","keywords":"Walkability; Pleasure; Recreation; Built environment; Perspective (graphical); Space (punctuation); Psychology; Argument (complex analysis); Social psychology; Sociology; Computer science; Ecology","score_opus":0.032684983358647154,"score_gpt":0.3092717826507741,"score_spread":0.27658679929212693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3035183243","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99670863,0.000107749736,0.000016117152,0.0019888396,0.00005793005,0.00086394866,0.000004502822,0.000020545853,0.00023175174],"genre_scores_gemma":[0.9989341,0.000020570546,0.00027986278,0.0004972352,0.00003380902,0.000026163863,0.0000067831843,0.0000065845193,0.00019487686],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982267,0.00020800979,0.00046440645,0.00033961682,0.00049479346,0.00026644403],"domain_scores_gemma":[0.99944085,0.00009371735,0.00015604435,0.0001227505,0.00002003903,0.00016660996],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087103946,0.00009579622,0.00023833914,0.000034906076,0.00028556693,0.000027737613,0.00017531405,0.00006728718,0.000117362564],"category_scores_gemma":[0.000053475378,0.000093641334,0.000025749647,0.00014682792,0.00008839421,0.00023351652,0.000039613496,0.00025155957,0.0000027509811],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043118474,0.0002616722,0.77089447,0.00003001455,0.0000032601927,0.0000040916,0.22750174,0.000005778998,0.000007674504,0.000051031704,0.00000817572,0.0011889914],"study_design_scores_gemma":[0.00062135514,0.00017761928,0.9899216,0.00003133544,0.00001129134,8.076695e-8,0.008297706,0.00001699408,0.0000042073084,0.00016075595,0.0006763643,0.00008064997],"about_ca_topic_score_codex":0.24798669,"about_ca_topic_score_gemma":0.7534497,"teacher_disagreement_score":0.505463,"about_ca_system_score_codex":0.00030967494,"about_ca_system_score_gemma":0.00034363428,"threshold_uncertainty_score":0.757021},"labels":[],"label_agreement":null},{"id":"W3036315080","doi":"10.1177/0361198120931099","title":"Adjusting Dwell Time for Paratransit Services","year":2020,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Paratransit; Dwell time; Transport engineering; Public transport; Automatic vehicle location; Travel time; Level of service; Scheduling (production processes); Software deployment; Engineering; Operations research; Computer science; Operations management; Telecommunications","score_opus":0.13106305624183423,"score_gpt":0.4198744424134304,"score_spread":0.2888113861715962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3036315080","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9749789,0.00034453315,0.0018462731,0.019602498,0.00039600063,0.0018141626,0.00015118148,0.000066342785,0.0008001123],"genre_scores_gemma":[0.99549025,0.0003749837,0.001875728,0.00025683496,0.0009039996,0.00006704019,0.000034137844,0.000055002816,0.0009420274],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9915796,0.001271883,0.0014770405,0.0005350824,0.0039419895,0.0011943887],"domain_scores_gemma":[0.9925272,0.0014560738,0.0004973099,0.00033236985,0.0043830387,0.0008040497],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00630947,0.00025473422,0.0005464372,0.0003978404,0.0017951669,0.000257653,0.0018549911,0.00026650284,0.00082222035],"category_scores_gemma":[0.00025047443,0.00020344957,0.00063000305,0.0024259721,0.0009882125,0.0011594613,0.0000051443226,0.0017688731,0.000054309166],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005859402,0.00055782497,0.8628528,0.0019476578,0.00037884637,0.00013407439,0.08212762,0.0015437298,0.010236374,0.0049721864,0.016951848,0.012437608],"study_design_scores_gemma":[0.0027558454,0.0008809085,0.8099562,0.00046871448,0.00018093125,6.694772e-8,0.014279171,0.00053186173,0.001918822,0.0055110855,0.1630726,0.0004438006],"about_ca_topic_score_codex":0.013753779,"about_ca_topic_score_gemma":0.07463909,"teacher_disagreement_score":0.14612076,"about_ca_system_score_codex":0.00017089731,"about_ca_system_score_gemma":0.0011164793,"threshold_uncertainty_score":0.9995044},"labels":[],"label_agreement":null},{"id":"W3036710334","doi":"10.1123/pes.2019-0238","title":"Relationships Among Children’s Independent Mobility, Active Transportation, and Physical Activity: A Multisite Cross-Sectional Study","year":2020,"lang":"en","type":"article","venue":"Pediatric Exercise Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia; Université du Québec à Trois-Rivières; Agricultural Research Institute of Ontario; University of Lethbridge","funders":"","keywords":"Socioeconomic status; Demography; Urbanization; Pedometer; Psychological intervention; Cross-sectional study; Physical activity; Geography; Medicine; Gerontology; Environmental health; Population; Physical therapy","score_opus":0.03575965061373172,"score_gpt":0.3222547894912409,"score_spread":0.2864951388775092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3036710334","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981429,0.000030263347,0.00011883118,0.00009775505,0.00012851389,0.0011233672,0.000055369746,0.00012384047,0.00017918705],"genre_scores_gemma":[0.99941874,0.000023957911,0.000050804196,0.000011572264,0.0003826094,0.000057137277,0.0000056940644,0.000008501956,0.00004099153],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99701434,0.00011807456,0.0002570719,0.0009160836,0.0013095886,0.00038485898],"domain_scores_gemma":[0.9987702,0.0001532499,0.00016401509,0.00018976892,0.00024513065,0.0004776826],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0012934876,0.00016628942,0.00022375822,0.00012776889,0.0018929975,0.00030884598,0.00047195755,0.00008797076,0.0000462903],"category_scores_gemma":[0.0003118156,0.00016273103,0.00007731428,0.0017864268,0.0012169174,0.0021673853,0.000042767115,0.00045281235,0.000013990913],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005504809,0.0004852702,0.96970963,0.00000851138,0.0000035874632,0.0000024441172,0.029097045,0.00003884504,0.000020433192,0.00003863285,0.0000031893032,0.00053733296],"study_design_scores_gemma":[0.00041685067,0.000047043646,0.99743384,0.0000017149578,0.000054877048,7.3674514e-8,0.0013747736,0.00015896368,0.00006669118,0.00025749934,0.0000013640026,0.00018629462],"about_ca_topic_score_codex":0.0034169396,"about_ca_topic_score_gemma":0.0024241342,"teacher_disagreement_score":0.027724193,"about_ca_system_score_codex":0.00010523455,"about_ca_system_score_gemma":0.000355543,"threshold_uncertainty_score":0.9994064},"labels":[],"label_agreement":null},{"id":"W3037513180","doi":"10.32866/001c.13395","title":"A Tale of 40 Cities: A Preliminary Analysis of Equity Impacts of COVID-19 Service Adjustments across North America","year":2020,"lang":"en","type":"article","venue":"Findings","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":67,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Equity (law); Coronavirus disease 2019 (COVID-19); Service (business); Business; Vulnerability (computing); Social vulnerability; Index (typography); Geography; Demographic economics; Public economics; Economic growth; Economics; Political science; Marketing; Psychology","score_opus":0.055027444217024706,"score_gpt":0.3691312363220781,"score_spread":0.3141037921050534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3037513180","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99734724,0.00008844236,0.00012628737,0.00061342,0.000025842352,0.00019661806,0.0009572538,0.000025850835,0.00061905006],"genre_scores_gemma":[0.99906856,0.000023506562,0.000096129115,0.0006459088,0.00002106085,0.0000051504344,0.000089076806,0.0000056040913,0.000045028697],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99847114,0.000057764984,0.00043976563,0.00024513382,0.0005002177,0.00028599595],"domain_scores_gemma":[0.9988509,0.00013115891,0.00041297023,0.00018679269,0.00015374993,0.0002644435],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002996693,0.00010677563,0.0004895037,0.00008386835,0.00014082856,0.000013666535,0.00048084138,0.000072439245,0.0005391071],"category_scores_gemma":[0.0002988681,0.000103399856,0.00022287173,0.0027530238,0.000402587,0.00023793973,0.00012145907,0.0000799903,0.0000026601726],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021972929,0.00011505113,0.8322497,0.00042183435,0.00025572843,0.000002529333,0.16584891,0.00009488208,0.00038713857,0.000015912843,0.00017133955,0.00021722449],"study_design_scores_gemma":[0.00033251368,0.00019045426,0.98098767,0.000023056376,0.00047941494,2.3533536e-8,0.016131448,0.00018126752,0.0007014335,0.00005531861,0.00079772866,0.000119699886],"about_ca_topic_score_codex":0.022817025,"about_ca_topic_score_gemma":0.009280916,"teacher_disagreement_score":0.14971747,"about_ca_system_score_codex":0.00007267001,"about_ca_system_score_gemma":0.00033884603,"threshold_uncertainty_score":0.98369014},"labels":[],"label_agreement":null},{"id":"W3037740085","doi":"10.1177/0361198120925465","title":"Empirical Analysis of Long-Run Elasticities and Asymmetric Effects of Transit Demand Determinants","year":2020,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Price elasticity of demand; Elasticity (physics); Econometrics; Economics; Short run; Panel data; Cross elasticity of demand; Supply and demand; Microeconomics; Price elasticity of supply","score_opus":0.09774239582966614,"score_gpt":0.42402518637441555,"score_spread":0.3262827905447494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3037740085","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9926593,0.0006894627,0.0037801862,0.0018097251,0.00014668706,0.0007384321,0.00007113576,0.000013569583,0.00009154555],"genre_scores_gemma":[0.9981415,0.001256296,0.0003497217,0.00003732991,0.00009346204,0.00001485862,0.000007703732,0.000022628199,0.0000764932],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9918283,0.0016554632,0.0016401162,0.00039692246,0.0038103452,0.00066884555],"domain_scores_gemma":[0.99292684,0.0028930323,0.0006286454,0.00026430175,0.0027312955,0.0005558977],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003933019,0.00020812423,0.00092594675,0.0015212371,0.00050761754,0.00006744855,0.0009286836,0.00022235028,0.00016340424],"category_scores_gemma":[0.00066962023,0.00016015703,0.000622302,0.0072985967,0.0019279994,0.00060076825,0.0000058295836,0.0011495407,0.000001355801],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009964302,0.00021263579,0.97332174,0.0007823305,0.0005271613,0.0000765776,0.018260535,0.00036420024,0.0007878147,0.00024737537,0.00014272182,0.0042804927],"study_design_scores_gemma":[0.0010308882,0.000626299,0.9893999,0.00021777449,0.00076126325,3.8994646e-8,0.0028326039,0.00018320915,0.0040168203,0.00052835624,0.00026434974,0.0001385161],"about_ca_topic_score_codex":0.009056715,"about_ca_topic_score_gemma":0.08078124,"teacher_disagreement_score":0.07172452,"about_ca_system_score_codex":0.00007965713,"about_ca_system_score_gemma":0.00070207095,"threshold_uncertainty_score":0.9975421},"labels":[],"label_agreement":null},{"id":"W3037902666","doi":"10.1177/0361198120926167","title":"Exploring the Causes of Social Exclusion Related to Mobility for Non-Motorized Households","year":2020,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"Social Sciences and Humanities Research Council of Canada; École Polytechnique Fédérale de Lausanne","keywords":"Social exclusion; Feeling; Demographic economics; Public transport; Psychology; Socioeconomics; Social psychology; Sociology; Economic growth; Economics; Transport engineering; Engineering","score_opus":0.2632576619734232,"score_gpt":0.43423571811091455,"score_spread":0.17097805613749134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3037902666","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9737127,0.000044021926,0.00096350384,0.021858657,0.00055155455,0.0025842723,0.00012545801,0.000034576467,0.00012529279],"genre_scores_gemma":[0.9981494,0.00024099047,0.00062787224,0.000091999675,0.00037075503,0.00020847635,0.000011563716,0.00004463375,0.0002542918],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99152035,0.0014286111,0.0017014721,0.00046240265,0.0039920397,0.0008951281],"domain_scores_gemma":[0.99279475,0.0016768962,0.00051532494,0.00036172091,0.0041351146,0.00051620696],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.009049596,0.00022051953,0.00056825526,0.0003238909,0.0020462377,0.00011045502,0.0017385441,0.00017593018,0.00021072093],"category_scores_gemma":[0.0007667499,0.00015127946,0.00065099966,0.00336641,0.0011940066,0.0009477326,0.000012050602,0.0015628234,0.000006689185],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.010409935,0.0008884778,0.6486285,0.0010655178,0.00040334545,0.00004516385,0.2792672,0.0009028301,0.033240948,0.0071932985,0.0072290157,0.010725787],"study_design_scores_gemma":[0.0014216115,0.0005798229,0.95663184,0.0001433592,0.00007084384,1.91796e-8,0.014208404,0.000030089815,0.0029613888,0.0020412824,0.021740898,0.0001704664],"about_ca_topic_score_codex":0.012969093,"about_ca_topic_score_gemma":0.041127346,"teacher_disagreement_score":0.3080033,"about_ca_system_score_codex":0.00022816884,"about_ca_system_score_gemma":0.0010899891,"threshold_uncertainty_score":0.999253},"labels":[],"label_agreement":null},{"id":"W3037904176","doi":"10.21923/jesd.399919","title":"YÜKSEK HIZLI DEMİRYOLLARI, AVRUPA BİRLİĞİ DEMİRYOLU POLİTİKALARI VE BU BAĞLAMDA TÜRKİYE’DEKİ GELİŞMELERİN İNCELENMESİ","year":2020,"lang":"tr","type":"article","venue":"Mühendislik Bilimleri ve Tasarım Dergisi","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Yukon University","funders":"","keywords":"Physics; Humanities; Political science; Art","score_opus":0.03745554677710249,"score_gpt":0.2856671241397655,"score_spread":0.24821157736266303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3037904176","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8958954,0.021696437,0.0018439314,0.031041022,0.0075067193,0.005260766,0.003698511,0.0024076034,0.030649586],"genre_scores_gemma":[0.975774,0.0030861497,0.0019329357,0.0068071354,0.0053781527,0.00026855033,0.0010194591,0.0005553031,0.0051783035],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9774692,0.0016147493,0.0046148556,0.005944973,0.004422572,0.00593367],"domain_scores_gemma":[0.98823315,0.0012601144,0.002241778,0.003091987,0.0010752707,0.004097672],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.0030724374,0.003304731,0.004020132,0.00072399224,0.0037090601,0.0018827711,0.0059489557,0.002886598,0.013083271],"category_scores_gemma":[0.0014619831,0.003416184,0.0024576853,0.0060659256,0.0036174955,0.0033864933,0.0013291406,0.004189784,0.004766119],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023186745,0.0039242147,0.70880544,0.0025634354,0.0027532945,0.0017074071,0.054255266,0.00038495642,0.008391179,0.005299022,0.19441445,0.015182648],"study_design_scores_gemma":[0.008796779,0.0019121529,0.24775621,0.000964086,0.0028373993,0.00003841819,0.028377673,0.0038433222,0.0067120017,0.006198602,0.6828551,0.009708236],"about_ca_topic_score_codex":0.007152609,"about_ca_topic_score_gemma":0.0051037376,"teacher_disagreement_score":0.48844066,"about_ca_system_score_codex":0.001436818,"about_ca_system_score_gemma":0.0028966574,"threshold_uncertainty_score":0.99945885},"labels":[],"label_agreement":null},{"id":"W3039642027","doi":"10.3390/su12135382","title":"Multi-Vector Approach to Cities’ Transition to Low-Carbon Emission Developments","year":2020,"lang":"en","type":"article","venue":"Sustainability","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Greenhouse gas; Scope (computer science); Adaptation (eye); Climate change; Psychological resilience; Climate change mitigation; Business; Environmental economics; Resilience (materials science); Environmental planning; Environmental resource management; Natural resource economics; Economic system; Environmental science; Economics; Computer science","score_opus":0.025331830725553145,"score_gpt":0.297701260546794,"score_spread":0.2723694298212409,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3039642027","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9765351,0.000012653651,0.007825383,0.009650026,0.000110288565,0.0015598224,0.000011383001,0.00021167143,0.0040836968],"genre_scores_gemma":[0.9954119,6.568635e-7,0.0027637556,0.0011222797,0.0001598582,0.00009107311,0.000015984646,0.000013912954,0.0004206301],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99772686,0.0002621787,0.0003339171,0.00066130026,0.00047598226,0.0005397798],"domain_scores_gemma":[0.9984552,0.0000407916,0.0000407054,0.00023352746,0.00049970404,0.0007300671],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000896795,0.00017758696,0.0002445847,0.00005415151,0.00045364787,0.00007284263,0.00036637878,0.0001340352,0.00006734622],"category_scores_gemma":[0.0011333481,0.00017466469,0.00008975568,0.00085850584,0.00014193871,0.00020624184,0.00004910124,0.00020149445,0.000007982781],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000566518,0.0009836531,0.5622308,0.00090029294,0.00002696413,0.0000126638715,0.42451644,0.00016487019,0.001221433,0.0005898161,0.00068927946,0.008097213],"study_design_scores_gemma":[0.000815437,0.00012188755,0.93068314,0.00003272605,0.000027282545,7.204293e-8,0.052430015,0.00062011386,0.0015559545,0.0016344843,0.011335691,0.00074321055],"about_ca_topic_score_codex":0.0018011318,"about_ca_topic_score_gemma":0.0002895522,"teacher_disagreement_score":0.37208644,"about_ca_system_score_codex":0.00090906356,"about_ca_system_score_gemma":0.0008742557,"threshold_uncertainty_score":0.7122619},"labels":[],"label_agreement":null},{"id":"W3039753528","doi":"10.3390/sym12071087","title":"Evaluating Classical Airplane Boarding Methods Considering COVID-19 Flying Restrictions","year":2020,"lang":"en","type":"article","venue":"Symmetry","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Aisle; Airplane; NetLogo; Social distance; Computer science; Metric (unit); Aeronautics; Pandemic; Transport engineering; Coronavirus disease 2019 (COVID-19); Computer security; Operations research; Business; Engineering; Operations management; Medicine","score_opus":0.26354483500134285,"score_gpt":0.5011293442339505,"score_spread":0.23758450923260765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3039753528","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7209419,0.00090298185,0.16574186,0.040497765,0.0012348725,0.0007137637,0.000025514388,0.0011916837,0.06874968],"genre_scores_gemma":[0.9495493,0.000013038511,0.047561593,0.0020269013,0.000633134,0.000011767452,0.0000065252134,0.000013392421,0.00018435513],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978272,0.0006114969,0.0003332608,0.00041529632,0.0004275996,0.00038516632],"domain_scores_gemma":[0.9980225,0.0010762404,0.0001107782,0.00016614344,0.000052988373,0.0005713384],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0021308516,0.0001225912,0.00023828782,0.00007173867,0.0014537462,0.00012648535,0.00024679722,0.00013065552,0.00039407882],"category_scores_gemma":[0.0057651545,0.00012601577,0.00012088507,0.0008195425,0.00022476506,0.00026605514,0.000053893345,0.00036451995,0.000029643246],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000081782455,0.0000985458,0.81975615,0.0002559593,0.00013082691,0.0000919895,0.033639524,0.00028155523,0.009256911,0.026112504,0.0074882284,0.10280602],"study_design_scores_gemma":[0.004393379,0.00046012748,0.12771115,0.00022603436,0.0008532577,0.000011239477,0.10153088,0.031485025,0.004851755,0.045047686,0.6804491,0.0029803202],"about_ca_topic_score_codex":0.0014993959,"about_ca_topic_score_gemma":0.00032317988,"teacher_disagreement_score":0.69204503,"about_ca_system_score_codex":0.00018123846,"about_ca_system_score_gemma":0.0005641313,"threshold_uncertainty_score":0.9998462},"labels":[],"label_agreement":null},{"id":"W3040444515","doi":"10.1016/j.healthplace.2020.102375","title":"Factors affecting the activity spaces of people who use mobility devices to get around the community","year":2020,"lang":"en","type":"article","venue":"Health & Place","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre for Interdisciplinary Research in Rehabilitation; Université Laval; Centre intégré universitaire de santé et de services sociaux de la Capitale-Nationale; International Collaboration On Repair Discoveries; University of British Columbia; GF Strong Rehabilitation Centre","funders":"Social Sciences and Humanities Research Council of Canada; Canadian Institutes of Health Research","keywords":"Walkability; Mobilities; Personal mobility; Transport engineering; Space (punctuation); Bivariate analysis; Geography; Built environment; Computer science; Telecommunications; Sociology; Engineering; Civil engineering","score_opus":0.10894609738810276,"score_gpt":0.36859525219776024,"score_spread":0.25964915480965745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3040444515","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9733101,0.00010450558,0.00013103562,0.025127321,0.00011726179,0.0008591864,0.00003954356,0.00006568257,0.00024532984],"genre_scores_gemma":[0.9982435,0.000016436405,0.000030129882,0.001541524,0.00010379057,0.000008562631,0.0000029566343,0.000007395097,0.000045672634],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99672294,0.0020375305,0.00024905437,0.00021426518,0.00039704476,0.00037918385],"domain_scores_gemma":[0.9956582,0.0033478597,0.0002548568,0.00042098985,0.000074632466,0.000243453],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0034766137,0.00013474055,0.0003244158,0.000014255911,0.002344443,0.0001436599,0.000627368,0.00006225133,0.000036972353],"category_scores_gemma":[0.00094742846,0.000077990604,0.000087253386,0.00057998864,0.00027157954,0.000416858,0.000092590315,0.0005632088,0.0000034433926],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000392355,0.00007443462,0.7675406,0.00012641694,0.0000080307445,7.647313e-8,0.2313079,0.000042562515,0.00001250657,0.000045049877,0.00037430486,0.0004289076],"study_design_scores_gemma":[0.00006460432,0.000073838666,0.91101396,0.000022952823,0.000008802804,2.3399375e-8,0.084482476,0.000052692823,0.00011067248,0.00003329233,0.004060316,0.00007638545],"about_ca_topic_score_codex":0.19926235,"about_ca_topic_score_gemma":0.3511852,"teacher_disagreement_score":0.15192285,"about_ca_system_score_codex":0.00012192212,"about_ca_system_score_gemma":0.0003949727,"threshold_uncertainty_score":0.99895436},"labels":[],"label_agreement":null},{"id":"W3040787799","doi":"10.1177/2399808320946050","title":"Evaluating pedestrian perceptions of street design with a 3D stated preference survey","year":2020,"lang":"en","type":"article","venue":"Environment and Planning B Urban Analytics and City Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Esri (Canada); University of Toronto","funders":"University of Toronto; Ontario Research Foundation","keywords":"Pedestrian; Walkability; Multinomial logistic regression; Transport engineering; Preference; Perception; Mixed logit; Computer science; Community design; Revealed preference; Sample (material); Discrete choice; Geography; Built environment; Engineering; Psychology; Econometrics; Economics; Logistic regression; Statistics; Civil engineering; Mathematics","score_opus":0.20259532939377026,"score_gpt":0.33840419522063325,"score_spread":0.135808865826863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3040787799","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9916256,0.000096343734,0.0077090464,0.000099263656,0.000010353988,0.0001545142,0.000026981217,0.000013116192,0.00026475918],"genre_scores_gemma":[0.99725854,0.000067263114,0.0025381164,0.000033609893,0.00002190431,0.0000014907827,0.000008492646,0.0000030666622,0.00006750104],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986411,0.00011625342,0.00017412737,0.00034832885,0.00049347116,0.00022673658],"domain_scores_gemma":[0.9993818,0.00014471923,0.00010797585,0.00009386852,0.000036488334,0.00023514176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015491622,0.00009825664,0.00015357017,0.00004270715,0.0005754045,0.000100964266,0.0001868488,0.000034444372,0.00008689643],"category_scores_gemma":[0.00015789583,0.00008170662,0.000013264965,0.00034816255,0.0013079627,0.00025579464,0.00003573158,0.000106617525,7.077638e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030617666,0.000019604648,0.9905162,0.0000065391996,0.0000060147404,0.000001080226,0.007676688,0.000897482,0.0002843837,0.000018390238,0.00001748058,0.0005255281],"study_design_scores_gemma":[0.00019011965,0.0002094222,0.98029035,0.000020898322,0.00003116923,6.1322396e-8,0.0022359565,0.01675852,0.00006270781,0.000035476514,0.00004114588,0.00012416752],"about_ca_topic_score_codex":0.0009161236,"about_ca_topic_score_gemma":0.00024700578,"teacher_disagreement_score":0.015861038,"about_ca_system_score_codex":0.00002226164,"about_ca_system_score_gemma":0.00015681476,"threshold_uncertainty_score":0.4819243},"labels":[],"label_agreement":null},{"id":"W3041104441","doi":"10.1177/0361198120926505","title":"How Travel Purpose Interacts with Predictors of Individual Driving Behavior in Greater Montreal","year":2020,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Destinations; Travel survey; Public transport; Travel behavior; Work (physics); Business; Multilevel model; Transport engineering; Public economics; Computer science; Geography; Economics; Tourism; Engineering","score_opus":0.10096469498918682,"score_gpt":0.3744566211282438,"score_spread":0.273491926139057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3041104441","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9917581,0.00007704442,0.00029259242,0.006089194,0.00019896918,0.0012964335,0.00008900975,0.000018516923,0.00018016057],"genre_scores_gemma":[0.99877113,0.0001909252,0.00040443373,0.000033489476,0.00022009357,0.000065278335,0.00001911531,0.00003854997,0.00025701185],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9911982,0.0013274332,0.001226989,0.00044436974,0.0049146665,0.00088836765],"domain_scores_gemma":[0.99578404,0.000589338,0.0005066376,0.00028977953,0.0022301506,0.00060004066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038207686,0.00023870192,0.0005711757,0.00077072746,0.00043885372,0.00023065269,0.0015216175,0.00021248484,0.00020382901],"category_scores_gemma":[0.00024207741,0.00017122948,0.00031630357,0.0026384844,0.0013270866,0.0014063866,0.0000072854978,0.0021217961,0.0000021597862],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014434141,0.00027654535,0.9488993,0.00012842512,0.00008173402,0.00023085704,0.044141226,0.000070149836,0.0009611168,0.0001830244,0.0003079987,0.0032761577],"study_design_scores_gemma":[0.0016090734,0.00076209375,0.98058677,0.0002840911,0.000085812724,1.1929463e-7,0.0139041385,0.00000983394,0.0016362404,0.00020405375,0.00075618306,0.00016157706],"about_ca_topic_score_codex":0.024383742,"about_ca_topic_score_gemma":0.34251514,"teacher_disagreement_score":0.3181314,"about_ca_system_score_codex":0.0001703862,"about_ca_system_score_gemma":0.0010544442,"threshold_uncertainty_score":0.98211294},"labels":[],"label_agreement":null},{"id":"W3041618205","doi":"10.1007/978-3-030-51194-4_48","title":"A Conceptual Model for Designing Sustainable City Development","year":2020,"lang":"en","type":"book-chapter","venue":"Advances in intelligent systems and computing","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Conceptual model; Sustainable development; Computer science; Architectural engineering; Engineering; Political science","score_opus":0.061819327543753404,"score_gpt":0.31472248012801524,"score_spread":0.2529031525842618,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3041618205","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0016265233,0.026387405,0.81399107,0.000051301475,0.00059481803,0.0020468673,0.000010978058,0.00013139268,0.15515964],"genre_scores_gemma":[0.915569,0.0004813297,0.0043445723,0.000057322908,0.000394291,0.000038440812,0.000020396148,0.000035386896,0.07905923],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979567,0.000031140095,0.00070148765,0.00056374684,0.00029702627,0.00044990462],"domain_scores_gemma":[0.9989903,0.00026303408,0.00032961761,0.000110260575,0.00017121695,0.00013554395],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00085296866,0.0002725531,0.00052084815,0.000080825266,0.00058447715,0.00011980933,0.00026539655,0.00020683995,0.000011874411],"category_scores_gemma":[0.00006185892,0.0002782594,0.00008339981,0.00005332535,0.00026511558,0.0002509474,0.000075212825,0.00026110874,0.0000022863944],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039068585,0.000018422612,0.0036948523,0.00067934574,0.000037111706,0.000018148405,0.029593071,0.008460107,7.536033e-7,0.94231296,0.00005706757,0.015089103],"study_design_scores_gemma":[0.00039899017,0.00007432267,0.000028003678,0.0018074001,0.000050049093,7.818317e-7,0.0255385,0.06423277,0.000033935357,0.047346972,0.85935396,0.0011343416],"about_ca_topic_score_codex":0.0002156197,"about_ca_topic_score_gemma":0.0004724999,"teacher_disagreement_score":0.9139425,"about_ca_system_score_codex":0.00026655596,"about_ca_system_score_gemma":0.00035468413,"threshold_uncertainty_score":0.999967},"labels":[],"label_agreement":null},{"id":"W3041639921","doi":"10.1164/ajrccm-conference.2020.201.1_meetingabstracts.a1914","title":"An Analysis with Directed Acyclic Graphs: Factors Leading to Poverty and Smoking in the Urban Poor Population of Ottawa","year":2020,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Ottawa; University of British Columbia; Ottawa Hospital","funders":"","keywords":"Poverty; Directed acyclic graph; Population; Computer science; Medicine; Environmental health; Economics; Economic growth; Algorithm","score_opus":0.023817462462183737,"score_gpt":0.2933084458708198,"score_spread":0.26949098340863603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3041639921","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978165,0.000012641427,0.00019577576,0.0007701395,0.000008585632,0.00014736099,0.000004292759,0.000044372457,0.0010003111],"genre_scores_gemma":[0.9994501,0.0000010346358,0.00009296165,0.00040697737,0.000015241259,0.0000019191361,0.00001647246,0.0000031222642,0.000012155236],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991435,0.000113382426,0.00016872362,0.0002009039,0.00024360039,0.00012989761],"domain_scores_gemma":[0.99968755,0.000057126195,0.000057836354,0.00009121802,0.000025218225,0.00008106971],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002863457,0.00006762714,0.00017052608,0.00010092053,0.00013443854,0.00005257097,0.00016191952,0.000035727142,0.00005377917],"category_scores_gemma":[0.000044072138,0.00003997741,0.00004176204,0.0017969614,0.00004551402,0.00030419955,0.0000048583015,0.000059186685,1.2136032e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008908875,0.000020209169,0.9800234,0.0000036833442,0.000023972669,4.001644e-7,0.018966202,0.000022336688,0.000074940406,0.0007039499,0.000019266063,0.00013274523],"study_design_scores_gemma":[0.00006990426,0.00003190584,0.9943072,0.000003691231,0.00008317038,4.758256e-9,0.005022634,0.00017467221,0.00009000179,0.00009777624,0.000052981162,0.00006601101],"about_ca_topic_score_codex":0.033180535,"about_ca_topic_score_gemma":0.13526309,"teacher_disagreement_score":0.10208254,"about_ca_system_score_codex":0.000017060296,"about_ca_system_score_gemma":0.000011670341,"threshold_uncertainty_score":0.9732576},"labels":[],"label_agreement":null},{"id":"W3041858791","doi":"10.2139/ssrn.3490803","title":"Driving Me to Drink: The Relationship Between Ride-Hailing Services and Alcohol Consumption","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Consumption (sociology); Alcohol consumption; Business; Driving under the influence; Environmental health; Human factors and ergonomics; Alcohol; Poison control; Advertising; Medicine; Sociology; Chemistry","score_opus":0.03103346633941201,"score_gpt":0.31686297689917065,"score_spread":0.28582951055975864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3041858791","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99456334,0.00072337006,0.0003518938,0.0034640534,0.00013816374,0.00022640331,9.438578e-7,0.000032057113,0.00049975136],"genre_scores_gemma":[0.9985217,0.00020089564,0.00002771933,0.00011188224,0.00035919494,0.000002553811,0.0000020633988,0.000008619987,0.0007653622],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99809265,0.00015976992,0.00023048872,0.0001837299,0.0003101711,0.0010231679],"domain_scores_gemma":[0.99922174,0.00036922682,0.00011930739,0.00012862471,0.00005260119,0.00010850495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035067948,0.00009085489,0.00012398041,0.000060460305,0.0009306009,0.00018040984,0.000303565,0.000074032556,0.000044771423],"category_scores_gemma":[0.00007300145,0.00006831402,0.000055481025,0.00018199721,0.00007346321,0.00045933403,0.000024453408,0.00097018655,0.00005734026],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005451237,0.0000048579304,0.9775104,0.000006291703,0.000020532327,1.7399302e-7,0.0024861032,0.0000058349633,0.00005275932,0.018512616,0.0000032420803,0.0013917328],"study_design_scores_gemma":[0.00017626784,0.000027714765,0.923679,0.000035408037,0.000033005224,0.0000021013595,0.0041277595,0.000007907935,0.000012856553,0.07112214,0.0006799602,0.00009585753],"about_ca_topic_score_codex":0.000672427,"about_ca_topic_score_gemma":0.023646161,"teacher_disagreement_score":0.053831384,"about_ca_system_score_codex":0.00029104127,"about_ca_system_score_gemma":0.0003974134,"threshold_uncertainty_score":0.9941698},"labels":[],"label_agreement":null},{"id":"W3042092330","doi":"","title":"The rise and fall of transit ridership across Canada: understanding the determinants","year":2020,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto; University of Saskatchewan","funders":"","keywords":"Transit (satellite); Transport engineering; Business; Public transport; Level of service; Engineering","score_opus":0.09453597203123358,"score_gpt":0.34716864158750593,"score_spread":0.25263266955627234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3042092330","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98650765,0.00022303742,0.000003012432,0.0051335758,0.00005513719,0.00023240388,0.00001737356,0.000005574566,0.007822207],"genre_scores_gemma":[0.99834234,0.0013790966,0.000003709918,0.0000528288,0.000054507134,0.0000070017413,3.0573108e-7,0.0000065971903,0.0001536426],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986489,0.0002091762,0.00024132343,0.00021762951,0.00022711762,0.00045586884],"domain_scores_gemma":[0.99876785,0.00083978614,0.000054927223,0.00017180797,0.000031596453,0.00013399994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020207567,0.00006714167,0.00013678941,0.00000932725,0.00091772975,0.00009125649,0.00043263022,0.000054114662,0.000011996465],"category_scores_gemma":[0.0003037266,0.000045871762,0.00003717794,0.0001338628,0.0011718421,0.0001058511,0.00004023662,0.00028418726,2.0510458e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010747389,0.000016876245,0.8760208,0.000042203454,0.00002164792,0.000010963526,0.02796151,0.00007126022,0.000021947171,0.0009102896,0.000049563954,0.094765455],"study_design_scores_gemma":[0.00103486,0.00011559332,0.5797847,0.000064262975,0.000014153035,5.308807e-7,0.32595593,0.0031631654,0.0002269125,0.003809894,0.08545139,0.00037861592],"about_ca_topic_score_codex":0.12509479,"about_ca_topic_score_gemma":0.9703058,"teacher_disagreement_score":0.845211,"about_ca_system_score_codex":0.00031146203,"about_ca_system_score_gemma":0.00058829767,"threshold_uncertainty_score":0.8807313},"labels":[],"label_agreement":null},{"id":"W3042275401","doi":"10.3808/jeil.202000029","title":"Assessing the Impact of Urban Form on the Greenhouse Gas Emissions from Household Vehicles: A Review","year":2020,"lang":"en","type":"review","venue":"Journal of Environmental Informatics Letters","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Greenhouse gas; Air pollutants; Environmental science; Natural resource economics; Land use; Pollutant; Environmental planning; Business; Environmental engineering; Environmental protection; Air pollution; Economics; Engineering; Civil engineering; Ecology","score_opus":0.06947355410061822,"score_gpt":0.3455408582301016,"score_spread":0.2760673041294834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3042275401","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027105238,0.9693092,0.000029317938,0.0018397714,0.00014462502,0.0007979446,0.0002615057,0.000011194286,0.0005012133],"genre_scores_gemma":[0.009097466,0.9886942,0.000092816445,0.001752613,0.00030132727,0.000005824492,0.00001986821,0.000026151296,0.0000097515485],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99656576,0.0003056656,0.0018431393,0.000094937925,0.00091765926,0.00027281477],"domain_scores_gemma":[0.99556524,0.00071537856,0.0031244925,0.0003960711,0.000009280957,0.00018953251],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012915109,0.00033223504,0.0011958574,0.00006292421,0.00037922643,0.00016284025,0.0012142544,0.00013236933,0.0002852719],"category_scores_gemma":[0.000112228285,0.00014965798,0.0015079486,0.00021936462,0.0004761163,0.0006756753,0.00007403822,0.0010773715,0.0000138980795],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028442928,0.000615078,0.0035073769,0.009254899,0.0020292408,0.00007331582,0.026723772,0.000047837875,0.00003338173,0.000028950722,0.11868116,0.83897656],"study_design_scores_gemma":[0.00017984747,0.00011721881,0.001346826,0.028988391,0.0013940284,0.000008515468,0.0019837848,0.0000074522727,0.000002027228,0.000038568625,0.9656274,0.00030595405],"about_ca_topic_score_codex":0.000112752445,"about_ca_topic_score_gemma":0.0000041769267,"teacher_disagreement_score":0.84694624,"about_ca_system_score_codex":0.0005099018,"about_ca_system_score_gemma":0.0002642174,"threshold_uncertainty_score":0.61028755},"labels":[],"label_agreement":null},{"id":"W3042322701","doi":"10.1177/0361198120936262","title":"Typology of Bikeshare Users Combining Bikeshare and Transit","year":2020,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"TRIPS architecture; Complementarity (molecular biology); Transit (satellite); Transport engineering; Geography; Typology; Metropolitan area; Business; Computer science; Public transport; Engineering","score_opus":0.17035888898413368,"score_gpt":0.4241786550351551,"score_spread":0.2538197660510214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3042322701","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98272794,0.00047406647,0.0002912414,0.014671588,0.00024999073,0.000806246,0.0001825618,0.000030463218,0.00056587096],"genre_scores_gemma":[0.9979358,0.0009094893,0.00059822155,0.00012483055,0.00019102816,0.000019862098,0.00002214519,0.00003571267,0.00016293733],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9927596,0.001494186,0.0013701427,0.000436897,0.0031159855,0.000823201],"domain_scores_gemma":[0.99459434,0.0010192588,0.00048509843,0.00028374637,0.002950843,0.00066673144],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0038136698,0.00021360522,0.00058322947,0.0005302443,0.0008999195,0.00010177193,0.0011993629,0.00026119626,0.0010173937],"category_scores_gemma":[0.0003798081,0.00017232922,0.00035599442,0.002440341,0.0019588326,0.00081197964,0.000006846158,0.0018986509,0.000008101661],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014343931,0.000168497,0.9484596,0.00045371894,0.00013107642,0.00007469809,0.035801172,0.00011206612,0.0027182433,0.0047195884,0.002532401,0.0033944943],"study_design_scores_gemma":[0.0015031374,0.00062350393,0.9605972,0.00028690163,0.0000713188,9.354805e-8,0.019218368,0.00003471971,0.0010399626,0.0021090477,0.014325124,0.00019063352],"about_ca_topic_score_codex":0.015855817,"about_ca_topic_score_gemma":0.0791876,"teacher_disagreement_score":0.06333178,"about_ca_system_score_codex":0.00009806143,"about_ca_system_score_gemma":0.00095713406,"threshold_uncertainty_score":0.9998958},"labels":[],"label_agreement":null},{"id":"W3042395120","doi":"10.3390/ijerph17145061","title":"The Potential Impacts of Urban and Transit Planning Scenarios for 2031 on Car Use and Active Transportation in a Metropolitan Area","year":2020,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institut National de Santé Publique du Québec; University of Toronto; Polytechnique Montréal; Université de Montréal; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Metropolitan area; Transport engineering; Transportation planning; Public transport; Population; Land-use planning; Scale (ratio); Land use; Mode choice; Urban planning; Strategic planning; Business as usual; Geography; Transit (satellite); Regional planning; Business; Environmental planning; Engineering; Economics; Cartography; Environmental health; Civil engineering; Marketing","score_opus":0.10278838736626493,"score_gpt":0.3973052734775926,"score_spread":0.29451688611132765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3042395120","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9825837,0.0006240863,0.000121308025,0.016266836,0.00003361593,0.00019237047,0.00015593953,0.0000011130184,0.000021041267],"genre_scores_gemma":[0.99850404,0.0011864755,0.00004870147,0.00015229991,0.000085963075,0.000002058803,0.000010957726,0.0000036444358,0.000005831136],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99865025,0.00015103577,0.00027382374,0.00010806304,0.0005934806,0.00022333798],"domain_scores_gemma":[0.9991366,0.0003333721,0.00012168126,0.000025977328,0.00005882484,0.00032349117],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012626646,0.000051022533,0.0001164625,0.00010837359,0.0002100551,0.00010079124,0.00012595608,0.00003311841,0.00001107441],"category_scores_gemma":[0.00019280166,0.000037956554,0.000029636516,0.00006809492,0.00036558215,0.0004649705,0.000006418442,0.00022053083,4.721614e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024377985,0.0003716958,0.92883253,0.0000457348,0.00012115384,0.000031021627,0.042659633,0.000020166128,0.0013104964,0.0019417317,0.00018557784,0.022042433],"study_design_scores_gemma":[0.001012854,0.00076271524,0.97571427,0.000045974662,0.0000030924803,0.0000010320666,0.019650705,0.00012075878,0.000066009925,0.00070029596,0.0018800232,0.000042254604],"about_ca_topic_score_codex":0.001260024,"about_ca_topic_score_gemma":0.0012201321,"teacher_disagreement_score":0.046881724,"about_ca_system_score_codex":0.0002122908,"about_ca_system_score_gemma":0.00021173221,"threshold_uncertainty_score":0.19047879},"labels":[],"label_agreement":null},{"id":"W3042414243","doi":"10.3390/su12145781","title":"Influence of Community Design and Sociodemographic Characteristics on Teleworking","year":2020,"lang":"en","type":"article","venue":"Sustainability","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Carpool; TRIPS architecture; Transport engineering; Public transport; Geography; Land use; Travel behavior; Traffic congestion; Marital status; Census; Business; Demographic economics; Engineering; Economics; Environmental health; Population","score_opus":0.03420611965902523,"score_gpt":0.30807056375293185,"score_spread":0.27386444409390664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3042414243","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956221,0.0000255397,0.0005683321,0.0030966776,0.000014859769,0.00041349654,0.000005357653,0.00006410004,0.00018954629],"genre_scores_gemma":[0.9994693,0.000012750864,0.00010866453,0.00035133955,0.000036879486,0.0000072908397,0.0000017764113,0.000005235386,0.000006760419],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980651,0.0010663212,0.0002527665,0.00015953716,0.0002208529,0.00023539252],"domain_scores_gemma":[0.9984892,0.00061781047,0.00011456808,0.00022669943,0.00040422325,0.00014750377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020310774,0.0000967487,0.00021350215,0.000026941982,0.0006981902,0.00002892038,0.00027034787,0.00010056514,0.0000142053395],"category_scores_gemma":[0.0026337174,0.00009428396,0.000053087453,0.0003608687,0.0011862997,0.00016561837,0.00004440098,0.0004678807,5.528144e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009260012,0.00010715849,0.9600215,0.00021328086,0.0000073593037,0.000001542175,0.031079523,0.00007175468,0.000026502212,0.00288731,0.000013209956,0.005478248],"study_design_scores_gemma":[0.000109026885,0.00009591626,0.9669236,0.000010270609,0.000012716587,1.6189102e-8,0.0049895262,0.000025846568,0.000081904655,0.02717311,0.00048300097,0.00009507204],"about_ca_topic_score_codex":0.0012110039,"about_ca_topic_score_gemma":0.0000754071,"teacher_disagreement_score":0.026089996,"about_ca_system_score_codex":0.00010501051,"about_ca_system_score_gemma":0.00031032815,"threshold_uncertainty_score":0.5369985},"labels":[],"label_agreement":null},{"id":"W3042524532","doi":"10.1016/j.jth.2020.100900","title":"Implications of attending the closest school on adolescents’ physical activity and car travel in Dunedin, New Zealand","year":2020,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Lottery Health Research; Health Research Council of New Zealand; National Heart Foundation of New Zealand; University of Otago","keywords":"Physical activity; TRIPS architecture; Geography; Demography; Psychology; Medicine; Transport engineering; Physical therapy; Engineering; Sociology","score_opus":0.04831234722221077,"score_gpt":0.3495348814979488,"score_spread":0.30122253427573803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3042524532","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9521747,0.000102738406,0.00014355541,0.04712327,0.00006428607,0.0002121303,0.000017916384,0.0000054394723,0.00015591766],"genre_scores_gemma":[0.9987056,0.00024238849,0.00003521566,0.0005774181,0.0004101937,8.8086506e-7,0.00000107411,0.000006785107,0.000020429345],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987986,0.00009178494,0.00039780434,0.00014714035,0.00033672457,0.00022792544],"domain_scores_gemma":[0.9990031,0.000059841277,0.0003626822,0.000093397226,0.000053413925,0.00042756394],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005925493,0.000094206356,0.00035480422,0.00004943018,0.00016733525,0.000012694801,0.00022966307,0.000047860613,0.000016202628],"category_scores_gemma":[0.00002417383,0.000067132314,0.00011867202,0.00030450546,0.0001323638,0.00021257608,0.0000029515338,0.0004664982,5.765372e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015602566,0.000219331,0.9857632,0.000053129614,0.000010014328,0.0000036843487,0.009969284,0.00001042689,0.000526569,0.00023510531,0.00020240192,0.002850815],"study_design_scores_gemma":[0.00052950706,0.00016031128,0.9973393,0.0001246556,0.000021230348,6.823214e-7,0.00087340537,0.0000050288027,0.00009354444,0.00035959636,0.00043671962,0.000056030774],"about_ca_topic_score_codex":0.0036211505,"about_ca_topic_score_gemma":0.004141042,"teacher_disagreement_score":0.046545852,"about_ca_system_score_codex":0.00007975508,"about_ca_system_score_gemma":0.00085442397,"threshold_uncertainty_score":0.54741204},"labels":[],"label_agreement":null},{"id":"W3042747385","doi":"10.3390/en13143642","title":"Energy Strategies, the Urban Dimension, and Spatial Planning","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":74,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Technische Universiteit Delft","keywords":"Urbanization; Urban planning; Urban metabolism; Urban density; Spatial planning; Environmental planning; Energy consumption; Efficient energy use; Dimension (graph theory); Urban climate; Urban agglomeration; Energy (signal processing); Energy transition; Energy planning; Environmental economics; Economic geography; Geography; Business; Environmental resource management; Civil engineering; Economic growth; Renewable energy; Environmental science; Economics; Engineering","score_opus":0.024075720491634357,"score_gpt":0.26959682009327457,"score_spread":0.2455210996016402,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3042747385","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9787772,0.0017791939,0.00052372675,0.004082982,0.00015471646,0.000038319675,0.0000026248624,0.00010623059,0.014534998],"genre_scores_gemma":[0.9985202,0.00004392688,0.00003326217,0.00059845636,0.0004914646,0.0000036885835,0.0000042479996,0.000004955944,0.00029982705],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99935186,0.00006338751,0.00010006517,0.00015780795,0.00017027959,0.00015662609],"domain_scores_gemma":[0.9997234,0.0000661658,0.000034609795,0.000077702156,0.000021815627,0.00007632962],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000114590126,0.00006913723,0.00008478141,0.000009101223,0.00045365197,0.000129941,0.00015390533,0.000041753316,0.00007883242],"category_scores_gemma":[0.000022041173,0.000046866637,0.000024990626,0.00010930331,0.00027137238,0.00019990804,0.000027247655,0.00006529549,0.0000015660592],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011697172,0.000050795083,0.5406389,0.000031738058,0.00006939859,0.00005132792,0.1770799,0.0017585048,0.0018610021,0.22779638,0.029198185,0.021346863],"study_design_scores_gemma":[0.00043552232,0.00009076262,0.20404412,0.000027286434,0.000048483995,3.0848273e-7,0.049475387,0.00080792926,0.0017676101,0.009865799,0.73298943,0.00044737788],"about_ca_topic_score_codex":0.010642318,"about_ca_topic_score_gemma":0.0034348464,"teacher_disagreement_score":0.70379126,"about_ca_system_score_codex":0.0000070039673,"about_ca_system_score_gemma":0.000088667766,"threshold_uncertainty_score":0.9959459},"labels":[],"label_agreement":null},{"id":"W3042882413","doi":"10.1101/2020.07.17.20156505","title":"Geographic access to COVID-19 healthcare in Brazil using a balanced float catchment area approach","year":2020,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Catchment area; Health care; Geography; Pandemic; Inequality; Unit (ring theory); Population; Business; Coronavirus disease 2019 (COVID-19); Float (project management); Economic growth; Environmental health; Medicine; Drainage basin; Economics; Cartography","score_opus":0.14531258671466687,"score_gpt":0.40925871015182,"score_spread":0.2639461234371532,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3042882413","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.967942,0.00059022004,0.004121346,0.022874357,0.0007667312,0.0021090712,0.00011994864,0.00023719083,0.0012391417],"genre_scores_gemma":[0.99348277,0.00012302079,0.00096271106,0.0046337782,0.000364152,0.00024159053,0.00012189806,0.000032512686,0.00003757174],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99569964,0.00048696552,0.0006967149,0.0014280884,0.00089764455,0.0007909242],"domain_scores_gemma":[0.99771786,0.00008999715,0.00027461752,0.00069845456,0.00011582663,0.0011032714],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0014794619,0.0004055168,0.00076768454,0.00033502685,0.00046423523,0.00036327998,0.001849755,0.00045126953,0.00011903448],"category_scores_gemma":[0.00031166905,0.00041507982,0.0002534419,0.0014119956,0.00026273914,0.00024179733,0.0006106847,0.00095755793,0.0000070742403],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052812542,0.00011993061,0.98507756,0.0006516232,0.000022384029,0.00003611696,0.012367413,0.0011368279,0.000030045388,0.00011870234,0.00013304327,0.00025351107],"study_design_scores_gemma":[0.0005584975,0.000026024858,0.983188,0.00025791075,0.000057008532,3.5274988e-7,0.0017860304,0.0008546873,0.0000523127,0.006300807,0.00603907,0.00087934325],"about_ca_topic_score_codex":0.08558073,"about_ca_topic_score_gemma":0.05401146,"teacher_disagreement_score":0.03156927,"about_ca_system_score_codex":0.00074002205,"about_ca_system_score_gemma":0.0020748614,"threshold_uncertainty_score":0.9998301},"labels":[],"label_agreement":null},{"id":"W3042995272","doi":"10.1155/2020/9848095","title":"Effects of Vehicle Restriction Policies on Urban Travel Demand Change from a Built Environment Perspective","year":2020,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Natural Science Foundation of Shaanxi Province; National Natural Science Foundation of China","keywords":"Multicollinearity; Public transport; Transport engineering; Built environment; Computer science; Lasso (programming language); Regression analysis; Econometrics; Engineering; Economics","score_opus":0.022132638091822993,"score_gpt":0.28246831838766234,"score_spread":0.26033568029583937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3042995272","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958591,0.0007266066,0.0013199233,0.001555628,0.00014911934,0.00026190782,0.000027241978,0.000010824897,0.000089644134],"genre_scores_gemma":[0.99835247,0.0006536003,0.00039608454,0.00013674083,0.00043352455,0.0000052997652,0.00000733541,0.000008684176,0.0000062890977],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9988323,0.000064012005,0.00037589183,0.00014789889,0.00044779776,0.00013208974],"domain_scores_gemma":[0.99917644,0.000114221446,0.00042798597,0.000054903416,0.00009783103,0.0001286031],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011677286,0.00009920911,0.00023623607,0.00006311763,0.00010138978,0.000009828949,0.00012227774,0.00006666565,0.000025520028],"category_scores_gemma":[0.00004442412,0.000091111564,0.00013330404,0.00018980494,0.000094373434,0.0005001304,8.442538e-7,0.00016366811,0.0000014462167],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002261354,0.00078736513,0.337781,0.00014885885,0.00017256357,0.0000706549,0.5223491,0.002798865,0.1257921,0.0032610227,0.00006426631,0.0045128334],"study_design_scores_gemma":[0.0009634563,0.00042297234,0.97026396,0.00006713717,0.00010171431,3.0390087e-8,0.009512197,0.0000054280094,0.016792525,0.0015246915,0.0002602013,0.00008568538],"about_ca_topic_score_codex":0.0010795534,"about_ca_topic_score_gemma":0.00032515742,"teacher_disagreement_score":0.63248295,"about_ca_system_score_codex":0.000101422585,"about_ca_system_score_gemma":0.000048640137,"threshold_uncertainty_score":0.37154216},"labels":[],"label_agreement":null},{"id":"W3043349527","doi":"10.7202/1070526ar","title":"L'évolution des espaces d’activité lors de la transition vers l’âge adulte (Montréal, Canada)","year":2020,"lang":"fr","type":"article","venue":"Revue Jeunes et Société","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université de Montréal; Institut National de Santé Publique du Québec; Public Health Ontario; University of Toronto","funders":"","keywords":"Humanities; Political science; Art; Sociology","score_opus":0.025641323102077514,"score_gpt":0.28781088588068815,"score_spread":0.26216956277861064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3043349527","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9151816,0.011308501,0.0011815398,0.06024296,0.00092990097,0.00032336684,0.00014237946,0.000119808086,0.010569992],"genre_scores_gemma":[0.99246734,0.0032474145,0.00035071126,0.0015700761,0.0010630109,0.00001910094,0.00003482359,0.000033763583,0.0012137338],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.9972923,0.00081381574,0.0003464772,0.00048081664,0.00044006237,0.0006265271],"domain_scores_gemma":[0.99865144,0.0004687014,0.00019463904,0.00016242164,0.00010363691,0.00041915837],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00070427835,0.0002822406,0.00040223173,0.000027746037,0.0006362353,0.000109047556,0.00027270796,0.00035839775,0.00034942085],"category_scores_gemma":[0.0002072989,0.00032562437,0.0002549861,0.00058148697,0.0012216509,0.000848723,0.00001739189,0.00047763204,0.00001635753],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007327973,0.0010560455,0.33695227,0.0043864734,0.0006737889,0.0005277996,0.4521905,0.0033726636,0.0025050545,0.031051386,0.030482618,0.13606861],"study_design_scores_gemma":[0.002520183,0.00035515404,0.27825987,0.00097062753,0.001028293,0.000011469333,0.1692819,0.005032359,0.0014570488,0.012426803,0.52670074,0.0019555367],"about_ca_topic_score_codex":0.81511235,"about_ca_topic_score_gemma":0.89727664,"teacher_disagreement_score":0.49621812,"about_ca_system_score_codex":0.0009773901,"about_ca_system_score_gemma":0.0012377475,"threshold_uncertainty_score":0.9999196},"labels":[],"label_agreement":null},{"id":"W3043477689","doi":"10.1155/2020/7985719","title":"Influence of Accessibility on Land Use and Landscape Pattern Based on Mapping Knowledge Domains: Review and Implications","year":2020,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Southern Research Station; U.S. Forest Service; U.S. Department of Agriculture; Ministry of Education of the People's Republic of China; European Environment Agency; Science Foundation of Ministry of Education of China","keywords":"Land use; Field (mathematics); Landscape ecology; Geography; Data science; Landscape assessment; Landscape epidemiology; Environmental resource management; Ecology; Regional science; Landscape design; Computer science; Environmental science","score_opus":0.0315729924968346,"score_gpt":0.3230115096569639,"score_spread":0.2914385171601293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3043477689","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954137,0.0014517365,0.00070101884,0.002068019,0.000020206284,0.00023985564,0.0000379668,0.000010367016,0.00005708344],"genre_scores_gemma":[0.99687636,0.002058466,0.0003588908,0.00064956665,0.000035889163,0.00000365308,0.000010043081,0.0000053130634,0.0000018220144],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989893,0.00006704059,0.00048894575,0.00016881475,0.0001865233,0.00009940748],"domain_scores_gemma":[0.9989274,0.0001890226,0.00040727816,0.0000919797,0.00025157814,0.00013273439],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003498241,0.00009119829,0.00026707398,0.00005330548,0.000106536456,0.000021355705,0.00010684771,0.000043149495,0.000014023583],"category_scores_gemma":[0.00014221841,0.00007567647,0.000056572502,0.00025994782,0.00009724688,0.00065810746,0.0000013571787,0.00014454893,2.9154876e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008169821,0.000079466445,0.9888239,0.0005786548,0.000010397547,0.0000021930578,0.0028882683,0.0012828007,0.0003515722,0.000045451015,0.000011818054,0.0058438135],"study_design_scores_gemma":[0.0005667421,0.0001235889,0.9976924,0.0005983952,0.000068372756,1.1195211e-7,0.00015792993,0.00001496483,0.00007259175,0.0001803546,0.00045035416,0.00007418402],"about_ca_topic_score_codex":0.000028211753,"about_ca_topic_score_gemma":0.00032495018,"teacher_disagreement_score":0.008868543,"about_ca_system_score_codex":0.000015907712,"about_ca_system_score_gemma":0.00008145469,"threshold_uncertainty_score":0.30859968},"labels":[],"label_agreement":null},{"id":"W3044192602","doi":"10.1177/0361198120931844","title":"Determining If Walkability and Bikeability Indices Reflect Pedestrian and Cyclist Safety","year":2020,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Walkability; Pedestrian; Cycling; Transport engineering; Schema crosswalk; Poison control; Crash; Level design; Built environment; Environmental health; Geography; Computer science; Engineering; Medicine; Civil engineering","score_opus":0.14435026580418256,"score_gpt":0.43496573664703925,"score_spread":0.29061547084285666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3044192602","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9824211,0.00032715805,0.00026945947,0.015181572,0.00019990974,0.0010239555,0.00007621688,0.000040970353,0.00045963202],"genre_scores_gemma":[0.9971163,0.0015249638,0.0007996483,0.00010443854,0.00028803604,0.000022959828,0.000009694934,0.000029222689,0.00010471734],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9913339,0.0024712947,0.0014797142,0.00065863103,0.003156895,0.0008995366],"domain_scores_gemma":[0.99452335,0.0018769999,0.00046341485,0.00034550627,0.0018262685,0.0009644459],"candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.009315603,0.00024983034,0.0005595855,0.000367307,0.0019409171,0.00030637198,0.0009420968,0.0002569118,0.00029708014],"category_scores_gemma":[0.0010344803,0.00019516736,0.00025740167,0.0019521766,0.0028651352,0.0012160282,0.0000131737415,0.0022364105,0.0000039547313],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011435028,0.00010203689,0.9620758,0.00031847105,0.0000507017,0.000041043193,0.022071829,0.000017769056,0.0004705029,0.0005735967,0.00019417844,0.012940517],"study_design_scores_gemma":[0.001095277,0.0004104921,0.9733144,0.00013594893,0.000052482035,1.1703069e-7,0.008268238,0.000041376577,0.00019259857,0.0033913557,0.012909931,0.00018775952],"about_ca_topic_score_codex":0.024433944,"about_ca_topic_score_gemma":0.1611517,"teacher_disagreement_score":0.13671777,"about_ca_system_score_codex":0.00019478635,"about_ca_system_score_gemma":0.0010048634,"threshold_uncertainty_score":0.9998485},"labels":[],"label_agreement":null},{"id":"W3044517240","doi":"10.1139/cjce-2019-0483","title":"Assessing the link between rail transit usage and multimodal integration","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Transport engineering; Rail transit; Transit (satellite); Urban rail transit; Transit-oriented development; Principal component analysis; Light rail transit; Statistical analysis; Computer science; Component (thermodynamics); Regression analysis; Function (biology); Mode (computer interface); Engineering; Public transport; Statistics; Mathematics","score_opus":0.028124723919620155,"score_gpt":0.26534210653340357,"score_spread":0.23721738261378342,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3044517240","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8743694,0.0010068801,0.09902012,0.022927973,0.00033868002,0.00012080696,0.000008372568,0.00002165284,0.002186127],"genre_scores_gemma":[0.99849176,0.000008025784,0.00021406944,0.000085309686,0.0011842372,3.3230856e-7,8.799827e-7,0.0000068366758,0.000008528827],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99939287,0.000032684224,0.0002000456,0.00006748675,0.00013075834,0.00017616668],"domain_scores_gemma":[0.9993037,0.00008138308,0.00005947932,0.000039689035,0.00005911453,0.000456623],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048383948,0.000065490574,0.00012477774,0.000052884145,0.00021606669,0.0002175619,0.00016830716,0.00005287945,0.00007539029],"category_scores_gemma":[0.00018463358,0.00005133717,0.0000520126,0.00017230795,0.00007640663,0.00052621897,0.0000018378702,0.00028240937,5.38571e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009928258,0.000005400345,0.658381,0.00013098496,0.0001688771,0.0002196282,0.1485196,0.009329031,0.0023519346,0.0017315261,0.0005230583,0.17862901],"study_design_scores_gemma":[0.0005623537,0.00006047742,0.9255213,0.000225726,0.00012831046,0.000004075003,0.004605628,0.0074361055,0.00030914377,0.00043072726,0.060372148,0.0003439939],"about_ca_topic_score_codex":0.0033994238,"about_ca_topic_score_gemma":0.18314719,"teacher_disagreement_score":0.2671403,"about_ca_system_score_codex":0.000053029104,"about_ca_system_score_gemma":0.00041820624,"threshold_uncertainty_score":0.83175826},"labels":[],"label_agreement":null},{"id":"W3045018041","doi":"","title":"Qui est vraiment exposé à la pollution automobile ? Attribution temporelle et spatiale des impacts environnementaux de la mobilité en Île-de-France","year":2019,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geography","score_opus":0.012212602454888475,"score_gpt":0.26582384028336375,"score_spread":0.2536112378284753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3045018041","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89073825,0.0029361146,0.07281509,0.007517106,0.00033976472,0.0012397239,0.00031066756,0.0002502943,0.023853004],"genre_scores_gemma":[0.972865,0.0026722664,0.012535226,0.00013545238,0.00008229906,0.00018803224,0.00073132326,0.00006297208,0.010727424],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.97606045,0.020021139,0.0009568301,0.0012015306,0.0007984501,0.0009615888],"domain_scores_gemma":[0.9935329,0.0025953143,0.00085940806,0.0018199389,0.00071471295,0.000477747],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.022545101,0.0005843963,0.00061125273,0.00014526177,0.0011304196,0.00055320666,0.0015494163,0.0008581793,0.00097323774],"category_scores_gemma":[0.000999963,0.0006519955,0.00044484477,0.00059031753,0.0021731444,0.0006050048,0.0006591618,0.0010748403,0.00013513086],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006140118,0.004073889,0.74966735,0.0006642067,0.00019223375,0.000016313248,0.12549701,0.0025876276,0.012965576,0.07627237,0.0006818264,0.027320212],"study_design_scores_gemma":[0.0019999216,0.00000798397,0.779062,0.0037543282,0.0002660419,0.000014951192,0.0042817886,0.011796119,0.0442626,0.01211365,0.14100485,0.0014357903],"about_ca_topic_score_codex":0.05653203,"about_ca_topic_score_gemma":0.017231325,"teacher_disagreement_score":0.14032301,"about_ca_system_score_codex":0.001666988,"about_ca_system_score_gemma":0.0017051836,"threshold_uncertainty_score":0.99994004},"labels":[],"label_agreement":null},{"id":"W3045094176","doi":"10.17269/s41997-020-00365-8","title":"Associations between the traditional and novel neighbourhood built environment metrics and weight status among Canadian men and women","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"CIHR Skin Research Training Centre; Canadian Institutes of Health Research","keywords":"Neighbourhood (mathematics); Overweight; Odds; Walkability; Demography; Geocoding; Body mass index; Geography; Population; Space syntax; Gerontology; Environmental health; Medicine; Sociology; Mathematics; Logistic regression; Space (punctuation); Computer science; Cartography; Physical activity","score_opus":0.08987408315239079,"score_gpt":0.27328751231825554,"score_spread":0.18341342916586476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3045094176","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8862846,0.0010301538,0.00021859742,0.10984656,0.000064095315,0.0001693904,0.0008708984,0.0000033984036,0.00151232],"genre_scores_gemma":[0.9974878,0.00028222334,0.00010092626,0.0017228969,0.0003512804,0.0000019496572,0.00001839148,0.0000071276427,0.000027437005],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99832326,0.00017258988,0.0003541089,0.00014833784,0.0002930036,0.00070868357],"domain_scores_gemma":[0.99323344,0.00019478421,0.00023546466,0.0000584192,0.00006372621,0.0062141838],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022497082,0.00008985366,0.00023025803,0.00020432194,0.0011205162,0.00026999827,0.0001695761,0.00007574594,0.00021396075],"category_scores_gemma":[0.000429287,0.00007525113,0.000026451662,0.00033713624,0.00039262956,0.00044650034,0.0000051696593,0.00030918312,4.8037685e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[3.8058707e-7,0.000005628573,0.9715344,0.0000046426285,0.00003587773,0.0000034180791,0.019625839,4.1474698e-7,1.9439555e-7,0.0015165589,0.000942571,0.006330097],"study_design_scores_gemma":[0.00024327367,0.00006240711,0.9503049,0.0000038421863,0.000011078026,7.8747115e-7,0.0040548397,0.000012487135,1.1773136e-7,0.00074335997,0.044490498,0.000072378076],"about_ca_topic_score_codex":0.693627,"about_ca_topic_score_gemma":0.87653494,"teacher_disagreement_score":0.18290791,"about_ca_system_score_codex":0.0013216388,"about_ca_system_score_gemma":0.0098669045,"threshold_uncertainty_score":0.99574625},"labels":[],"label_agreement":null},{"id":"W3045955563","doi":"10.3917/flux1.119.0142","title":"Persistance de l’automobilité ? Analyse en trois perspectives","year":2020,"lang":"fr","type":"article","venue":"Flux","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal; Intertek (Canada); Ministère des Transports","funders":"Ministère des Transports; Québec Ministère du Développement Durable, de l’Environnement et de la Lutte Contre les Changements Climatiques; Polytechnique Montréal","keywords":"Political science; Humanities; Philosophy","score_opus":0.02394633852746545,"score_gpt":0.29114044921190224,"score_spread":0.26719411068443677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3045955563","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89966947,0.017579636,0.00040166374,0.042609733,0.00029144596,0.0001788354,0.000065026914,0.000117805495,0.03908637],"genre_scores_gemma":[0.9815315,0.00025933632,0.0006515244,0.0005711344,0.0011415065,0.0000074634595,0.0000068268873,0.000014605705,0.015816076],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981338,0.00029424386,0.0002418114,0.0005271062,0.00030163923,0.0005014072],"domain_scores_gemma":[0.9991168,0.00013364038,0.0000761909,0.000206025,0.000093466886,0.00037391006],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00043046844,0.00017717533,0.0002791797,0.000024427443,0.00029453484,0.000070429545,0.0004279823,0.0001671231,0.007162117],"category_scores_gemma":[0.00023313258,0.00018738635,0.00029803268,0.00075729255,0.00068920903,0.0006185768,0.000025629977,0.00029773184,0.00034882475],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006477594,0.0003014308,0.56247723,0.00013811079,0.00013349496,0.00005303796,0.411523,0.000042465872,0.00067496905,0.015119018,0.0059053553,0.0035670744],"study_design_scores_gemma":[0.00062082376,0.00020565723,0.5217252,0.0000671539,0.00039061764,7.6177474e-7,0.21534817,0.0015299834,0.000686127,0.0022354785,0.25653112,0.0006588952],"about_ca_topic_score_codex":0.00228754,"about_ca_topic_score_gemma":0.0018825909,"teacher_disagreement_score":0.2506258,"about_ca_system_score_codex":0.00039404255,"about_ca_system_score_gemma":0.00037575795,"threshold_uncertainty_score":0.99374545},"labels":[],"label_agreement":null},{"id":"W3046061731","doi":"10.5014/ajot.2020.74s1-po9609","title":"Participation in Out-of-Home Activities of Older Adults: Looking Beyond Personal Characteristics","year":2020,"lang":"en","type":"article","venue":"American Journal of Occupational Therapy","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital","funders":"","keywords":"Psychology; Gerontology; Personal development; Personal mobility; Aging in place; Social psychology; Medicine; Psychotherapist","score_opus":0.0455643896061259,"score_gpt":0.3621840133065124,"score_spread":0.3166196237003865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3046061731","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99855703,0.00009672197,0.00056452997,0.0004503904,0.00013177958,0.00007648801,0.000029686795,0.0000038062044,0.000089548405],"genre_scores_gemma":[0.9990449,0.00011295594,0.00034610063,0.00023536723,0.00024294255,0.0000018992612,0.000005743134,0.000005923338,0.0000041739736],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987252,0.00012767575,0.0005153292,0.000089623594,0.000418409,0.00012380054],"domain_scores_gemma":[0.99863315,0.00017678009,0.00084691425,0.000040377632,0.0002246373,0.00007814748],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003525398,0.000075085394,0.00030340347,0.00007871488,0.00004809752,0.000011951936,0.00015360418,0.000026248485,0.00018915636],"category_scores_gemma":[0.00006695074,0.000066828004,0.000104858904,0.00028137595,0.0004000128,0.00031884311,0.000004658182,0.000121463076,4.4270678e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013095756,0.00017380115,0.8900422,0.000011424766,0.00003313571,0.000002153278,0.0642008,0.0000061537366,0.00052847504,0.00012250699,0.000009620397,0.043560144],"study_design_scores_gemma":[0.00054769067,0.00029965065,0.9915138,0.00005721977,0.000008361496,9.3326165e-8,0.006744931,0.00004521547,0.00045868845,0.00010755957,0.0001443837,0.00007240678],"about_ca_topic_score_codex":0.0001441267,"about_ca_topic_score_gemma":0.00007212249,"teacher_disagreement_score":0.10147159,"about_ca_system_score_codex":0.00003711604,"about_ca_system_score_gemma":0.0002809234,"threshold_uncertainty_score":0.27251667},"labels":[],"label_agreement":null},{"id":"W3046726801","doi":"10.1016/j.aap.2020.105695","title":"What does crowdsourced data tell us about bicycling injury? A case study in a mid-sized Canadian city","year":2020,"lang":"en","type":"article","venue":"Accident Analysis & Prevention","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Victoria; Simon Fraser University","funders":"Arizona State University Foundation; Public Health Agency; Public Health Agency of Canada; Arizona State University","keywords":"Crash; Poison control; Injury prevention; Psychological intervention; Human factors and ergonomics; Occupational safety and health; Suicide prevention; Crowdsourcing; Transport engineering; Medical emergency; Computer security; Applied psychology; Engineering; Geography; Medicine; Computer science; Psychology","score_opus":0.06553160103929069,"score_gpt":0.37938145740178814,"score_spread":0.31384985636249746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3046726801","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973937,0.00031278378,0.00014003902,0.0010401455,0.00016834002,0.0007787433,0.0000047921403,0.000059748385,0.000101682606],"genre_scores_gemma":[0.9989766,0.00012948934,0.00006188431,0.00016406068,0.00020319008,0.000023868923,0.00017131004,0.000011078157,0.0002585179],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968591,0.0006181153,0.00072742125,0.0008417734,0.0005069185,0.00044671673],"domain_scores_gemma":[0.9984517,0.000078746554,0.0002648216,0.0007007787,0.00009659394,0.00040734228],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0022315155,0.00019069205,0.0004799531,0.0004496545,0.0005262731,0.0007114203,0.0008686842,0.00012158902,0.0014099567],"category_scores_gemma":[0.0002795865,0.00017240972,0.00027049493,0.0031953407,0.00007297299,0.002368708,0.00012852723,0.00023866541,0.000015270934],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031199215,0.00016567578,0.9813432,0.000002459064,0.00033435132,0.0003044691,0.014279689,0.000029013656,0.00001812758,0.0000017974937,0.000024111192,0.0034658762],"study_design_scores_gemma":[0.00058985694,0.000035057103,0.9644968,0.000028782828,0.001706653,4.4369133e-7,0.031269565,0.00077607576,0.000038372527,0.0001291166,0.00064798584,0.0002812964],"about_ca_topic_score_codex":0.78801346,"about_ca_topic_score_gemma":0.99875706,"teacher_disagreement_score":0.21074358,"about_ca_system_score_codex":0.00021451974,"about_ca_system_score_gemma":0.00039176462,"threshold_uncertainty_score":0.9995029},"labels":[],"label_agreement":null},{"id":"W3047443398","doi":"10.18280/ijsdp.150516","title":"A Comprehensive Index to Evaluate Non-motorized Accessibility to Port-Cities","year":2020,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Index (typography); Port (circuit theory); Transport engineering; Business; Computer science; Engineering; World Wide Web","score_opus":0.043014218312451585,"score_gpt":0.3442014195143007,"score_spread":0.30118720120184916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3047443398","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98991776,0.00010186507,0.0040253205,0.003806211,0.00038935413,0.0002446138,0.000002255356,0.000015453305,0.001497197],"genre_scores_gemma":[0.99503857,0.000005699659,0.0025125553,0.0014457476,0.0004639846,0.000006171784,0.0000038878543,0.0000064391847,0.00051696313],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981986,0.00005161776,0.00049591216,0.00018956064,0.0007861514,0.000278129],"domain_scores_gemma":[0.99770665,0.00009276826,0.0002058598,0.00004319291,0.0015747538,0.0003767833],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000791184,0.00011893782,0.0002325176,0.00020749982,0.00025612128,0.00023604368,0.000464969,0.000050778977,0.000109562534],"category_scores_gemma":[0.0003676161,0.00010862061,0.00004835382,0.00028205232,0.00004910208,0.0005747729,0.000111034824,0.00016447989,0.0000045365996],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012209625,0.000050307033,0.7532679,0.00006667088,0.00018532033,0.0012485015,0.23423766,0.00040712117,0.00027352019,0.00026547178,0.0017545698,0.007021991],"study_design_scores_gemma":[0.0008207785,0.00007736799,0.74072206,0.00011848795,0.000014532037,0.0000023986743,0.13014136,0.000038959017,0.00043371212,0.00060412905,0.12679937,0.00022680777],"about_ca_topic_score_codex":0.00018085333,"about_ca_topic_score_gemma":0.000015310468,"teacher_disagreement_score":0.12504481,"about_ca_system_score_codex":0.00020905469,"about_ca_system_score_gemma":0.0007708193,"threshold_uncertainty_score":0.442942},"labels":[],"label_agreement":null},{"id":"W3048156677","doi":"10.1111/grow.12420","title":"Active transportation indicators and establishing baseline in a developing country context: A study of Rajshahi, Bangladesh","year":2020,"lang":"en","type":"article","venue":"Growth and Change","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"SAFER; Context (archaeology); Business; Government (linguistics); Baseline (sea); Developing country; Travel behavior; Willingness to pay; Geography; Socioeconomics; Transport engineering; Economic growth; Political science; Economics; Engineering; Computer science","score_opus":0.04036005594242923,"score_gpt":0.28067382913172856,"score_spread":0.24031377318929933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048156677","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99831474,0.00030157223,0.000044582568,0.00076854235,0.000026011288,0.00039320812,0.000038888724,0.000017909739,0.00009456351],"genre_scores_gemma":[0.9993066,0.000092177834,0.000026651334,0.00044738065,0.0000772258,0.000023735587,0.000020386768,0.0000044805793,0.0000013491253],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992519,0.0000658018,0.00017942676,0.00019728883,0.00016761792,0.00013793404],"domain_scores_gemma":[0.99970627,0.0000655471,0.00007655696,0.00003071695,0.000026680858,0.00009424653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025928486,0.000072438415,0.00016706712,0.00007087589,0.00010499619,0.000026453386,0.00007044115,0.000056320267,0.000014672937],"category_scores_gemma":[0.00006108116,0.00007030813,0.000010981984,0.00048143466,0.00008734886,0.0004427574,0.00000567169,0.00009233297,9.621455e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051160318,0.00004595214,0.7756384,0.00006210876,0.000005815196,0.000005975625,0.21868475,1.6261858e-8,0.000017030676,0.00021925606,0.0000040758837,0.005265452],"study_design_scores_gemma":[0.0007650124,0.000071765055,0.9422121,0.00003481338,0.000017608256,2.5375394e-8,0.056422014,0.00000839843,0.00010367917,0.00006979526,0.00020594429,0.00008884328],"about_ca_topic_score_codex":0.009536725,"about_ca_topic_score_gemma":0.050107084,"teacher_disagreement_score":0.16657369,"about_ca_system_score_codex":0.000013269248,"about_ca_system_score_gemma":0.000050971223,"threshold_uncertainty_score":0.99705887},"labels":[],"label_agreement":null},{"id":"W3048281381","doi":"10.1177/0361198120940993","title":"Understanding the Effectiveness of Bus Rapid Transit Systems in Small and Medium-Sized Cities in North America","year":2020,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Metropolitan area; Bus rapid transit; Population; Headway; Transport engineering; Service (business); Socioeconomic status; Geography; Twin cities; Business; Transit (satellite); Public transport; Agricultural economics; Engineering; Demography; Economics; Marketing","score_opus":0.1939561986641802,"score_gpt":0.3771853453570905,"score_spread":0.18322914669291027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048281381","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9910796,0.00072340615,0.0014740648,0.004673698,0.00021339905,0.0015618054,0.00006301608,0.000013349333,0.00019762613],"genre_scores_gemma":[0.99774283,0.0019360122,0.000085317515,0.000029762423,0.00009463497,0.000057522273,0.000011331901,0.000024007139,0.000018590395],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99002814,0.0051341015,0.0013769146,0.0003696351,0.0023641977,0.0007270158],"domain_scores_gemma":[0.9941852,0.0038635298,0.00036239388,0.00023105508,0.0010509166,0.00030692495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0103116855,0.00019516223,0.0006255434,0.0006288886,0.00050947815,0.00011866832,0.0010080031,0.00015655525,0.00007718404],"category_scores_gemma":[0.0003924941,0.00013539799,0.00022487705,0.003732209,0.0019580068,0.0005503804,0.000004965361,0.0018428597,0.0000011847233],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0034323179,0.00012537425,0.9516276,0.00076457503,0.00006453183,0.00007443696,0.03830411,0.0022837585,0.0007054104,0.0018065051,0.000047699436,0.00076366053],"study_design_scores_gemma":[0.0018074769,0.0003038107,0.9585216,0.00045389694,0.000029239158,5.3676995e-8,0.035983045,0.00010488936,0.00014879943,0.00185223,0.00066629576,0.00012866156],"about_ca_topic_score_codex":0.056883883,"about_ca_topic_score_gemma":0.44355956,"teacher_disagreement_score":0.3866757,"about_ca_system_score_codex":0.00030229468,"about_ca_system_score_gemma":0.0011404719,"threshold_uncertainty_score":0.94939643},"labels":[],"label_agreement":null},{"id":"W3048501358","doi":"10.1016/j.jtrangeo.2020.102818","title":"Disability, wages, and commuting in New York","year":2020,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":48,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Microdata (statistics); Earnings; Metropolitan area; Wage; Demographic economics; Public transport; Public use; Hourly wage; American Community Survey; Labour economics; Economics; Geography; Demography; Census; Population; Political science; Sociology; Engineering; Transport engineering","score_opus":0.037155898193953894,"score_gpt":0.28347735156895343,"score_spread":0.24632145337499953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048501358","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9892328,0.0015437085,0.00012398777,0.007432705,0.00011560573,0.00011062765,0.000004793861,0.000018785746,0.0014169903],"genre_scores_gemma":[0.99853545,0.00017729653,0.0006646462,0.000307529,0.00029867352,3.145376e-7,0.0000018044453,0.0000066447474,0.000007643596],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985854,0.000072455485,0.0005761119,0.00015153961,0.00037206445,0.0002424021],"domain_scores_gemma":[0.9992321,0.000071526236,0.00019411082,0.000085141626,0.000043410957,0.00037368824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084638,0.00010566672,0.0003111785,0.00007283132,0.000136649,0.000033479635,0.00031017905,0.000082309365,0.00013125512],"category_scores_gemma":[0.000029193126,0.00009365483,0.00022853854,0.0006153595,0.00036974615,0.00034195502,0.0000059032996,0.00036983253,5.603361e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000067301175,0.00008416381,0.986509,0.000028131099,0.000018123454,0.000026114358,0.008887751,0.0000063002763,0.000019720073,0.00012206065,0.00009773579,0.004133548],"study_design_scores_gemma":[0.0005348597,0.000065648484,0.98011804,0.000048209007,0.000040132054,6.5900906e-7,0.0013947982,0.0000020426573,0.000016027348,0.0011486912,0.016527373,0.000103523584],"about_ca_topic_score_codex":0.003512974,"about_ca_topic_score_gemma":0.008096693,"teacher_disagreement_score":0.016429637,"about_ca_system_score_codex":0.000015651887,"about_ca_system_score_gemma":0.00013946005,"threshold_uncertainty_score":0.5310589},"labels":[],"label_agreement":null},{"id":"W3048823259","doi":"10.5539/jsd.v13n5p1","title":"Possible Actions in the Built Environment to Enhance Physical Activity: Systematic Review","year":2020,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universiti Sains Malaysia","keywords":"Scopus; Neighbourhood (mathematics); Psychological intervention; Scope (computer science); Built environment; Physical activity; Work (physics); Affect (linguistics); Psychology; Business; Applied psychology; Computer science; Political science; MEDLINE; Medicine; Engineering","score_opus":0.0317936235150432,"score_gpt":0.32798537216187623,"score_spread":0.296191748646833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048823259","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9646351,0.001745997,0.0008760124,0.03022063,0.000043835782,0.001332134,4.4912676e-7,0.000008840243,0.0011370415],"genre_scores_gemma":[0.99721694,0.00036856445,0.00025362254,0.0012547122,0.00009509419,0.000051732724,2.4362066e-7,0.0000049462465,0.00075411773],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99828714,0.00022145122,0.00039845152,0.00013103064,0.000667925,0.0002940116],"domain_scores_gemma":[0.99925786,0.000096407,0.0002654594,0.000116894065,0.00010595202,0.00015739944],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016484144,0.00009831922,0.00037871805,0.000055161963,0.0002673521,0.00006929412,0.0004544101,0.000026680149,0.000049068673],"category_scores_gemma":[0.00030862875,0.00006442079,0.00008748617,0.0005292363,0.00004079383,0.00037200085,0.000034431076,0.00022983237,0.000020996298],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031285285,0.004170528,0.018652271,0.25547877,0.00043160224,0.0021803468,0.69420266,0.0003581874,0.0008626319,0.003767777,0.011208826,0.0083735315],"study_design_scores_gemma":[0.0012654997,0.0008344008,0.24384214,0.052320827,0.0009982785,0.0000211215,0.44781005,0.000040388135,0.0073406924,0.0022595837,0.24146055,0.0018064885],"about_ca_topic_score_codex":0.00007187019,"about_ca_topic_score_gemma":0.000038808244,"teacher_disagreement_score":0.24639264,"about_ca_system_score_codex":0.00044413083,"about_ca_system_score_gemma":0.0006151491,"threshold_uncertainty_score":0.26270035},"labels":[],"label_agreement":null},{"id":"W3048979592","doi":"10.1080/01441647.2020.1806943","title":"Crowdsourced data for bicycling research and practice","year":2020,"lang":"en","type":"article","venue":"Transport Reviews","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":82,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland; Simon Fraser University; University of Victoria","funders":"Michael Smith Health Research BC; Public Health Agency of Canada; Canada Research Chairs; Arizona State University","keywords":"Crowdsourcing; Transport engineering; Global Positioning System; TRIPS architecture; Citizen science; Traffic congestion; Social media; Open data; Poison control; Computer science; Data science; Engineering; World Wide Web","score_opus":0.5969151889843052,"score_gpt":0.5377930415823721,"score_spread":0.05912214740193311,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048979592","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39800116,0.18175007,0.035080034,0.23919877,0.0008409911,0.0204985,0.00093265634,0.00086361123,0.122834206],"genre_scores_gemma":[0.95955,0.021107096,0.014024831,0.0024758654,0.0013148675,0.00012115425,0.00034591978,0.000038015278,0.0010222384],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980012,0.0002778728,0.0004432315,0.00056181906,0.0003514913,0.00036437862],"domain_scores_gemma":[0.99841297,0.00060567836,0.00009913639,0.00046784995,0.00014596559,0.0002683973],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0076304427,0.00010540651,0.00032985312,0.000027185612,0.00054796075,0.0000603041,0.000699145,0.000079586454,0.00014564393],"category_scores_gemma":[0.0016801945,0.00009021519,0.000061832754,0.0004543599,0.000347496,0.00073145266,0.000023525727,0.00023742397,0.000025632968],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001952332,0.0009480322,0.47328347,0.005977301,0.00019722685,0.00009433463,0.14054687,0.0000026072244,0.0022656936,0.016790437,0.056639414,0.30130228],"study_design_scores_gemma":[0.00019107337,0.000041753417,0.0048059667,0.00005089301,0.00005369777,1.568403e-7,0.00077064673,0.000013594946,0.000010625647,0.00028439277,0.99366564,0.00011155675],"about_ca_topic_score_codex":0.00082941854,"about_ca_topic_score_gemma":0.0013952501,"teacher_disagreement_score":0.9370262,"about_ca_system_score_codex":0.00001546799,"about_ca_system_score_gemma":0.00014373026,"threshold_uncertainty_score":0.42145264},"labels":[],"label_agreement":null},{"id":"W3049144109","doi":"10.15760/honors.882","title":"Portland’s I-5 Expansion: Evaluating the Environmental and Cultural Impact of ODOT’s Rose Quarter Improvement Plan","year":2020,"lang":"en","type":"dissertation","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Urban expansion; CITES; Quarter (Canadian coin); Plan (archaeology); Rose (mathematics); Geography; Transport engineering; Engineering; Civil engineering; Urban planning; Archaeology; Mathematics; Ecology","score_opus":0.03622572299169739,"score_gpt":0.3559626629627455,"score_spread":0.3197369399710481,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3049144109","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9928485,0.00023974036,0.0000012236286,0.00014451868,0.000183142,0.0004903328,0.000047572925,0.000021219803,0.0060237227],"genre_scores_gemma":[0.9961779,0.000065431814,0.000025430378,0.00003931427,0.00015762709,0.00001733852,0.00074447563,0.000009361586,0.002763081],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99856925,0.00007086446,0.00034760206,0.00029311,0.0005224184,0.00019676235],"domain_scores_gemma":[0.99944293,0.000044675886,0.0002470434,0.00013981987,0.000024045523,0.000101493846],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00035447287,0.00018382387,0.0002443196,0.000018465937,0.00031525394,0.00007028842,0.00019648144,0.00013570106,0.0014040688],"category_scores_gemma":[0.00001710845,0.00010286869,0.00017608114,0.000052660307,0.00012717138,0.00018154897,0.000011857418,0.00018337842,0.0000056610875],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00064153306,0.00025317285,0.6405338,0.00018642689,0.00032577844,0.000008310846,0.24678963,0.0000033622289,0.069700226,0.00015858164,0.0027146721,0.0386845],"study_design_scores_gemma":[0.0003825458,0.00051965984,0.9262879,0.000033292326,0.00013374745,1.6482045e-7,0.07105529,0.00007425814,0.0008977113,0.00018228483,0.00017905842,0.00025410866],"about_ca_topic_score_codex":0.0045596575,"about_ca_topic_score_gemma":0.004042083,"teacher_disagreement_score":0.28575408,"about_ca_system_score_codex":0.000071962306,"about_ca_system_score_gemma":0.0001616475,"threshold_uncertainty_score":0.9995088},"labels":[],"label_agreement":null},{"id":"W3049326235","doi":"10.1155/2020/8827466","title":"Residential Location, Mobility, and Travel Time: A Pilot Study in a Small-Size Italian Metropolitan Area","year":2020,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Sample (material); Transport engineering; Real estate; Residential area; Residential real estate; Travel behavior; Geography; Land use; Order (exchange); Transportation planning; Socioeconomic status; Computer science; Business; Civil engineering; Engineering; Population","score_opus":0.031785202488738264,"score_gpt":0.3041032320067025,"score_spread":0.2723180295179642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3049326235","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99723303,0.0001819845,0.00072657876,0.0011509112,0.00009528662,0.00045543246,0.000009157327,0.000015458683,0.00013213162],"genre_scores_gemma":[0.9988603,0.000033496217,0.00084897416,0.00007223548,0.0001238232,0.000005979875,0.0000064122346,0.000010154568,0.0000385972],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99833864,0.00012482183,0.00075408386,0.0002227084,0.00037100006,0.00018871864],"domain_scores_gemma":[0.99897707,0.000110690846,0.00033127057,0.00008014685,0.00029980173,0.00020099798],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067659793,0.000120294055,0.00030873017,0.00008937014,0.00012733763,0.00004390784,0.00018079857,0.000039332386,0.000076690536],"category_scores_gemma":[0.00020552616,0.000116208124,0.000055848333,0.0006013448,0.00013187571,0.0007436309,0.0000018108072,0.00020793386,0.0000015842813],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013840535,0.0012077173,0.9343717,0.00007910807,0.000052883435,0.000098452554,0.05741767,0.0007034162,0.0035812333,0.00035097677,0.000023635484,0.0007291566],"study_design_scores_gemma":[0.0016311336,0.0010417531,0.9676563,0.000035761783,0.0000723587,3.5845613e-7,0.027546529,0.000008664264,0.00011548424,0.0017494622,0.000028350974,0.000113851005],"about_ca_topic_score_codex":0.0011369565,"about_ca_topic_score_gemma":0.030833682,"teacher_disagreement_score":0.033284593,"about_ca_system_score_codex":0.00012307249,"about_ca_system_score_gemma":0.00021002155,"threshold_uncertainty_score":0.9868511},"labels":[],"label_agreement":null},{"id":"W3058076446","doi":"10.1016/j.tra.2020.07.018","title":"Analyzing the structural properties of bike-sharing networks: Evidence from the United States, Canada, and China","year":2020,"lang":"en","type":"article","venue":"Transportation Research Part A Policy and Practice","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Bike sharing; Cluster analysis; Spatial analysis; Computer science; Scale (ratio); China; Transport engineering; Clustering coefficient; Spatial ecology; Geography; Cartography; Engineering; Artificial intelligence","score_opus":0.18438856564796038,"score_gpt":0.4151436299168606,"score_spread":0.23075506426890022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3058076446","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92781377,0.0022849648,0.00008548712,0.069380105,0.000020707108,0.00028418636,0.000045670025,0.000012150485,0.00007295169],"genre_scores_gemma":[0.99616414,0.0028279973,0.000027482758,0.00064509327,0.00024724324,0.000010798449,0.000030808085,0.000005312815,0.000041145613],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99807113,0.00069803145,0.0002466674,0.00021645537,0.00049295224,0.0002747528],"domain_scores_gemma":[0.9970504,0.0023346369,0.00011370944,0.00013495107,0.00022180025,0.00014447092],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018978426,0.00007968515,0.00011325773,0.000029577623,0.0010036783,0.00014951115,0.00028282212,0.000037773538,0.000039469654],"category_scores_gemma":[0.0019135698,0.00004688955,0.000019177363,0.00088849186,0.00062431995,0.00064730004,0.000012182539,0.00038334262,2.1263565e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010373853,0.000018735016,0.7557881,0.00013714028,0.00014866583,0.000013320172,0.23257089,0.0023046108,0.0002003247,0.004282853,0.0010621889,0.0024357801],"study_design_scores_gemma":[0.000222702,0.00004533518,0.93908054,0.00015255087,0.000082200895,1.697957e-7,0.022154747,0.0053650136,0.00011120891,0.0006222548,0.0320256,0.00013765116],"about_ca_topic_score_codex":0.982956,"about_ca_topic_score_gemma":0.9156299,"teacher_disagreement_score":0.21041614,"about_ca_system_score_codex":0.000026927526,"about_ca_system_score_gemma":0.00056132884,"threshold_uncertainty_score":0.7719583},"labels":[],"label_agreement":null},{"id":"W3070646235","doi":"10.3390/ijerph17165997","title":"Profiles of Active Transportation among Children and Adolescents in the Global Matrix 3.0 Initiative: A 49-Country Comparison","year":2020,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge; Children's Hospital of Eastern Ontario; University of Ottawa","funders":"Government of Ontario; University of Ottawa","keywords":"Descriptive statistics; Socioeconomic status; Human Development Index; Inequality; Index (typography); Environmental health; Developing country; Geography; Medicine; Demography; Economic growth; Population; Statistics; Human development (humanity); Economics; Mathematics; Computer science; Sociology","score_opus":0.06305958573387888,"score_gpt":0.41656965883102454,"score_spread":0.35351007309714566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3070646235","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9904886,0.00044599173,0.00003280041,0.008452273,0.000026914882,0.00021122406,0.00022825848,0.0000013894783,0.00011254123],"genre_scores_gemma":[0.99902123,0.0006279343,0.000027186334,0.00018512258,0.00010433224,0.0000017550042,0.000029082983,0.000002079719,0.0000012999714],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980227,0.00033345332,0.00034448187,0.00010366669,0.0010107447,0.00018499258],"domain_scores_gemma":[0.9994319,0.00007670792,0.0002084611,0.000028487206,0.00005311455,0.00020133282],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013593752,0.00005023433,0.00012782974,0.000065120716,0.000110208326,0.00006174157,0.0002802066,0.000035509467,0.000037067995],"category_scores_gemma":[0.00008897544,0.000037932557,0.000024460915,0.00015516719,0.00050413515,0.00048102436,0.000014128197,0.00029369778,4.317086e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013080981,0.00029446115,0.9808592,0.000011230478,0.000019985706,0.0000045185634,0.010650762,6.7680566e-7,0.000008579744,0.0002850949,0.00004595373,0.0076887165],"study_design_scores_gemma":[0.0004814179,0.00017104881,0.9870185,0.000038432558,0.0000015654243,8.3753304e-7,0.011607634,0.000008377983,0.000007826019,0.00039541334,0.00024137962,0.000027535618],"about_ca_topic_score_codex":0.0015312565,"about_ca_topic_score_gemma":0.0018121926,"teacher_disagreement_score":0.0085326,"about_ca_system_score_codex":0.00016508244,"about_ca_system_score_gemma":0.0002558035,"threshold_uncertainty_score":0.23148121},"labels":[],"label_agreement":null},{"id":"W3079362150","doi":"10.48550/arxiv.2008.07650","title":"Mobility and Social Efficiency","year":2020,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Social mobility; Sociology; Social science","score_opus":0.09865147456888608,"score_gpt":0.2273728115180175,"score_spread":0.1287213369491314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3079362150","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9814183,0.000059748905,0.0029997723,0.000681144,0.00027940093,0.00034477995,0.00004569129,0.00020200832,0.013969165],"genre_scores_gemma":[0.9988025,0.000057802878,0.000025547368,0.000090891845,0.00022652572,5.592178e-7,0.000017955288,0.000009860843,0.00076839037],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99830544,0.00018843354,0.00016136242,0.0009104312,0.00011572888,0.00031859762],"domain_scores_gemma":[0.99925447,0.000065971246,0.00014065369,0.00026152664,0.000096471755,0.0001809404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040137608,0.00019804301,0.00030352882,0.000056066638,0.00067650655,0.000085596585,0.0006021828,0.00035449248,0.00020769573],"category_scores_gemma":[0.000044351953,0.0002360312,0.00017887513,0.0003276194,0.00086941855,0.00018001467,0.00036051404,0.00052931166,0.000024971028],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018045226,0.00048906467,0.78039503,0.0004943526,0.000120534365,0.0002315896,0.0237551,0.0007557092,0.000034110904,0.19184232,0.0006250832,0.0010766555],"study_design_scores_gemma":[0.0015600749,0.00010063859,0.6045726,0.00008807037,0.0006396456,2.4262624e-7,0.013030011,0.0087113185,0.00005020828,0.35360736,0.015559206,0.002080649],"about_ca_topic_score_codex":0.0024890173,"about_ca_topic_score_gemma":0.0013308901,"teacher_disagreement_score":0.17582244,"about_ca_system_score_codex":0.00015652317,"about_ca_system_score_gemma":0.0003502095,"threshold_uncertainty_score":0.9625073},"labels":[],"label_agreement":null},{"id":"W3080336133","doi":"10.1177/0361198120944923","title":"Social Equity and Bus On-Time Performance in Canada’s Largest City","year":2020,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Equity (law); Census; Disadvantaged; Social equality; Context (archaeology); Transport engineering; Public transport; Business; Destinations; Statutory law; Geography; Economics; Economic growth; Engineering; Political science; Sociology; Demography; Population","score_opus":0.1598599074067171,"score_gpt":0.41780734265271446,"score_spread":0.2579474352459974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3080336133","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9673004,0.000078683486,0.000020101352,0.030416377,0.0001517604,0.0006465241,0.000058984428,0.000015265461,0.0013119149],"genre_scores_gemma":[0.99867296,0.0004166313,0.00008392984,0.00025279156,0.0002779909,0.00001830093,0.000008630224,0.00002285825,0.00024592216],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99192035,0.0011708983,0.0010352138,0.00040380043,0.004504853,0.0009648652],"domain_scores_gemma":[0.9968862,0.0006746053,0.0002901854,0.00018478066,0.0014014684,0.00056278304],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005087766,0.00019192176,0.00043900652,0.00031672727,0.0012011898,0.00013213286,0.0011481101,0.00015370538,0.00048827048],"category_scores_gemma":[0.0002437022,0.00015678708,0.00016452014,0.0019156826,0.0008426572,0.00066973583,0.000012913838,0.0022854465,0.0000094986235],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010699031,0.000105060666,0.9818378,0.00013152549,0.000029295754,0.00007860523,0.007812526,0.00010234565,0.00017458604,0.0009426547,0.002374059,0.0053416193],"study_design_scores_gemma":[0.0009737579,0.00021657732,0.9829948,0.00010825935,0.000015123436,2.8148927e-8,0.0023223343,0.00006903119,0.0001954623,0.00084488647,0.0121060815,0.00015368134],"about_ca_topic_score_codex":0.8169145,"about_ca_topic_score_gemma":0.9874945,"teacher_disagreement_score":0.17058004,"about_ca_system_score_codex":0.0007078162,"about_ca_system_score_gemma":0.0049295137,"threshold_uncertainty_score":0.9929255},"labels":[],"label_agreement":null},{"id":"W3080420066","doi":"10.1177/0361198120940675","title":"Commuters’ Assessment of Public Transport as a “Reasonable” Option in Montreal, QC","year":2020,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Public transport; Business; Perception; Mode of transport; Mode choice; Public economics; Travel behavior; Transport engineering; Economics; Marketing; Engineering; Psychology","score_opus":0.17425451545369652,"score_gpt":0.4493400177968135,"score_spread":0.27508550234311696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3080420066","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9765539,0.00022794404,0.0018456345,0.01789221,0.00026032756,0.001379166,0.00008875983,0.000032106822,0.0017199407],"genre_scores_gemma":[0.99662346,0.0014316193,0.0011990914,0.00010850103,0.00019789406,0.00006554358,0.000038799044,0.000040984036,0.0002940886],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98742366,0.00292101,0.0021891021,0.0005408827,0.005733855,0.0011915171],"domain_scores_gemma":[0.9934071,0.0010034313,0.0007172223,0.00046369177,0.0035687534,0.00083980785],"candidate_categories":["research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.010030439,0.00028274572,0.00075724366,0.0009263741,0.000764851,0.00012970115,0.0019520657,0.00030763104,0.0009349228],"category_scores_gemma":[0.000344691,0.00023529591,0.00057548867,0.0044053793,0.0015383575,0.0015340353,0.000007383536,0.0027440235,0.000011759325],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00072342216,0.0005660828,0.9645329,0.00027049732,0.00009615266,0.00013254081,0.02067987,0.0004109433,0.0008176081,0.0063119014,0.0006360857,0.0048220046],"study_design_scores_gemma":[0.0018763257,0.00053816364,0.9724795,0.0002870232,0.000047202087,8.287342e-8,0.012870078,0.00014022322,0.00022579316,0.004114214,0.0072172377,0.00020413855],"about_ca_topic_score_codex":0.12825856,"about_ca_topic_score_gemma":0.4957964,"teacher_disagreement_score":0.36753786,"about_ca_system_score_codex":0.0004117667,"about_ca_system_score_gemma":0.0025407914,"threshold_uncertainty_score":0.99997836},"labels":[],"label_agreement":null},{"id":"W3080550557","doi":"10.3390/su12176824","title":"Best–Worst Method for Modelling Mobility Choice after COVID-19: Evidence from Italy","year":2020,"lang":"en","type":"article","venue":"Sustainability","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":132,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Context (archaeology); Resilience (materials science); Mode (computer interface); Computer science; Mode choice; Pandemic; 2019-20 coronavirus outbreak; Operations research; Environmental economics; Business; Geography; Transport engineering; Economics; Public transport; Engineering","score_opus":0.08701242483308819,"score_gpt":0.4082706804392709,"score_spread":0.3212582556061827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3080550557","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5086247,0.00060945394,0.46848586,0.019999424,0.00011525168,0.0017246704,0.000121834,0.00018955911,0.00012928873],"genre_scores_gemma":[0.98388475,0.000014569536,0.013308516,0.0016193044,0.00054961315,0.0003898851,0.000018913996,0.000020535159,0.00019389481],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9957474,0.0010354236,0.0006130438,0.0012990142,0.0005558905,0.0007492633],"domain_scores_gemma":[0.9927442,0.0043424936,0.00016311357,0.0006861831,0.0010278951,0.0010361369],"candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004765444,0.00027680615,0.00047333149,0.000035131758,0.0009024949,0.0001729281,0.00073499524,0.00025776343,0.00068351754],"category_scores_gemma":[0.024066057,0.0002725023,0.00036891547,0.00059945654,0.00069913716,0.0010264678,0.00010301218,0.00038313755,0.000009123383],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010365862,0.00038086966,0.94713926,0.0011080757,0.00004133368,0.000015449166,0.039694283,0.0046647536,0.000021103946,0.0009180393,0.0002623055,0.0047179465],"study_design_scores_gemma":[0.0020272736,0.00044096174,0.1480871,0.000107175845,0.00058818166,1.4279082e-7,0.04186498,0.07563766,0.00052266836,0.6153866,0.113226674,0.0021105758],"about_ca_topic_score_codex":0.061201062,"about_ca_topic_score_gemma":0.01061789,"teacher_disagreement_score":0.7990522,"about_ca_system_score_codex":0.0015249149,"about_ca_system_score_gemma":0.0028323845,"threshold_uncertainty_score":0.9999727},"labels":[],"label_agreement":null},{"id":"W3081332551","doi":"10.17269/s41997-020-00364-9","title":"Associations between the built environment and physical activity among adults with low socio-economic status in Canada: a systematic review","year":2020,"lang":"en","type":"review","venue":"Canadian Journal of Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Alberta Health Services; Alberta Cancer Foundation; University of Calgary","funders":"Cumming School of Medicine, University of Calgary; Canadian Institutes of Health Research; Centers for Disease Control and Prevention; Killam Trusts","keywords":"Walkability; Built environment; Neighbourhood (mathematics); Observational study; Physical activity; Environmental health; Gerontology; Cross-sectional study; Level design; Sample (material); Sample size determination; Psychology; Medicine; Geography; Statistics; Computer science; Physical therapy; Engineering","score_opus":0.05415045396756656,"score_gpt":0.31361918120415433,"score_spread":0.25946872723658776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3081332551","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013608164,0.97535443,0.0000063868865,0.00857585,0.0000736703,0.001704661,0.00063216605,0.0000025704105,0.000042080494],"genre_scores_gemma":[0.09550508,0.9039986,0.000003973329,0.00019636092,0.00021852159,0.000025819763,0.000024435287,0.000016550646,0.000010662158],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9961525,0.0016005517,0.00090649823,0.00023086884,0.00038774675,0.00072182366],"domain_scores_gemma":[0.9953402,0.0004799203,0.0018611331,0.00019404429,0.000045783694,0.002078868],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003022286,0.00022414885,0.002398484,0.00010363682,0.00041871096,0.00011248684,0.00047163217,0.00008610038,0.000029445659],"category_scores_gemma":[0.00036532007,0.00014578344,0.00018287498,0.00027704722,0.00023417668,0.00028817114,0.000010285469,0.00079552137,0.0000019900406],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.000001034305,0.000038015438,0.27003768,0.34822932,0.0005392804,0.00008327145,0.010992824,7.926955e-7,1.6833242e-10,0.00009833845,0.0012783962,0.36870107],"study_design_scores_gemma":[0.00045271718,0.00013368421,0.3058251,0.302036,0.0013739627,0.0000056919675,0.00394135,0.0000060510893,2.4485474e-9,0.000039555078,0.38547316,0.00071273255],"about_ca_topic_score_codex":0.98632604,"about_ca_topic_score_gemma":0.99892724,"teacher_disagreement_score":0.38419476,"about_ca_system_score_codex":0.014402147,"about_ca_system_score_gemma":0.12919761,"threshold_uncertainty_score":0.9893814},"labels":[],"label_agreement":null},{"id":"W3081438770","doi":"10.1016/j.healthplace.2020.102418","title":"Healthy movement behaviours in children and youth during the COVID-19 pandemic: Exploring the role of the neighbourhood environment","year":2020,"lang":"en","type":"article","venue":"Health & Place","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":252,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; University of British Columbia; Hospital for Sick Children; SickKids Foundation; Toronto Metropolitan University; Dalhousie University; Children's Hospital of Eastern Ontario; University of Victoria; Institute for Clinical Evaluative Sciences; Douglas College","funders":"Canadian Institutes of Health Research; Ryerson University","keywords":"Neighbourhood (mathematics); Pandemic; Odds; Coronavirus disease 2019 (COVID-19); Geography; Environmental health; Public health; Physical activity; 2019-20 coronavirus outbreak; Gerontology; Socioeconomics; Sociology; Medicine; Logistic regression; Outbreak","score_opus":0.055987661583406755,"score_gpt":0.2958067586077444,"score_spread":0.23981909702433765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3081438770","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96510345,0.0017932843,0.000009045197,0.03200251,0.000051035477,0.0008839254,0.000057248475,0.000021901058,0.00007757679],"genre_scores_gemma":[0.9931701,0.0008355749,0.0000072553685,0.005834434,0.00009442043,0.00003171122,0.0000037631755,0.0000073537394,0.000015428754],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99833685,0.00037112294,0.00032010925,0.00024968595,0.00036857623,0.00035364975],"domain_scores_gemma":[0.9992579,0.00009362008,0.00017848429,0.00022070743,0.0000053494914,0.00024393255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001220372,0.00009966623,0.00015535552,0.000013316318,0.0008740412,0.000024447325,0.0003639341,0.00003469714,0.00004002674],"category_scores_gemma":[0.000040065945,0.000055741322,0.000044895245,0.00017259926,0.00023103382,0.000100263765,0.00007965982,0.00028833142,9.688979e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003367832,0.000031915857,0.9262921,0.000014565295,0.00000385293,1.1161323e-7,0.0724025,0.00008334688,0.000005087842,0.00015640676,0.000007651937,0.00096877076],"study_design_scores_gemma":[0.000339716,0.00003279685,0.9823061,0.0000103831535,0.00000825277,2.097851e-7,0.016507877,0.000008332781,0.000016637323,0.000120925826,0.0005898915,0.00005887201],"about_ca_topic_score_codex":0.042567104,"about_ca_topic_score_gemma":0.01060045,"teacher_disagreement_score":0.05601399,"about_ca_system_score_codex":0.00030011308,"about_ca_system_score_gemma":0.00033823025,"threshold_uncertainty_score":0.96380854},"labels":[],"label_agreement":null},{"id":"W3082025518","doi":"10.1177/2514848620952326","title":"Contesting the greening of the urban growth machine: Ecological modernization and the promethean counter-discourse","year":2020,"lang":"en","type":"article","venue":"Environment and Planning E Nature and Space","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval; Université du Québec à Montréal","funders":"Fonds de Recherche du Québec-Société et Culture","keywords":"Urban sprawl; Ecological modernization; Sustainability; Modernization theory; Politics; Urban planning; Opposition (politics); Corporate governance; Political science; Urban ecology; Green growth; Political economy; Sociology; Environmental ethics; Sustainable development; Ecology; Urbanization; Economic growth; Law; Economics","score_opus":0.014329624189988763,"score_gpt":0.254305187339472,"score_spread":0.23997556314948323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3082025518","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.978116,0.0046179495,0.00022742675,0.016147919,0.000034627235,0.0002500108,0.000006316093,0.000010104967,0.0005896969],"genre_scores_gemma":[0.99907756,0.00015698952,0.000057569505,0.0004767689,0.00009743592,0.0000029234511,0.0000024208534,0.0000033626695,0.00012496415],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999354,0.0001410567,0.00009033728,0.00014615271,0.00016780023,0.00010062885],"domain_scores_gemma":[0.99953705,0.00027626572,0.0000825557,0.000058760157,0.0000065388904,0.00003885257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005070021,0.000075094234,0.00010768755,0.000005921551,0.0005468216,0.000044963825,0.000115408846,0.00008360538,0.000010000606],"category_scores_gemma":[0.00013095235,0.000033152,0.000022540686,0.000057843863,0.00061858003,0.00007367013,0.000045372137,0.00032299463,1.08395675e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048140595,0.000008906807,0.9719187,0.0000120563245,0.0000115372895,9.830206e-7,0.025065275,0.000026585807,0.00004447917,0.0023628934,0.00017205994,0.00032836973],"study_design_scores_gemma":[0.00067939644,0.000046823687,0.9851682,0.000041344058,0.00008013386,8.290789e-7,0.005607836,0.0037907693,0.000057670823,0.0012235115,0.0031856676,0.00011777412],"about_ca_topic_score_codex":0.00014737976,"about_ca_topic_score_gemma":0.000052152634,"teacher_disagreement_score":0.020961616,"about_ca_system_score_codex":0.0000051176644,"about_ca_system_score_gemma":0.000008546314,"threshold_uncertainty_score":0.4205765},"labels":[],"label_agreement":null},{"id":"W3082094726","doi":"10.1080/19427867.2020.1803542","title":"Rule compliance and desire lines in Barcelona’s cycling network","year":2020,"lang":"en","type":"article","venue":"Transportation Letters","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver Community College; University of British Columbia","funders":"","keywords":"Intersection (aeronautics); Cycling; Transport engineering; Computer science; Engineering; Geography","score_opus":0.062120946162713936,"score_gpt":0.30426426230018366,"score_spread":0.24214331613746973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3082094726","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9812008,0.0001522219,0.0019040259,0.016111925,0.000077528035,0.00016285488,0.0000072734597,0.0000729223,0.0003104248],"genre_scores_gemma":[0.99381983,0.000033452456,0.0013257661,0.0045339367,0.00022596173,0.0000068299373,0.00003308654,0.00000773675,0.000013417821],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991095,0.000040038838,0.0002368059,0.00023017744,0.00016250281,0.00022095417],"domain_scores_gemma":[0.9997276,0.00004580643,0.000051661005,0.00005061527,0.00001827914,0.00010604173],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017813037,0.000083335886,0.00013624835,0.000018199742,0.00016652748,0.00003016281,0.000106394225,0.00004461509,0.00007291029],"category_scores_gemma":[0.0000099874505,0.00009028513,0.00003423223,0.00026976012,0.00014667735,0.00025716564,9.950618e-7,0.00011448291,0.0000060268476],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028461765,0.000010410553,0.9868753,0.000040758077,0.000004012958,0.000016553986,0.009399899,0.0010377776,0.0005447879,0.0005756665,0.00012794341,0.001338426],"study_design_scores_gemma":[0.00026978072,0.000005114285,0.99720347,0.00003507298,0.000009632058,1.726525e-8,0.00043060564,0.00016715075,0.00004898252,0.00039478356,0.0013148822,0.0001204826],"about_ca_topic_score_codex":0.0007585384,"about_ca_topic_score_gemma":0.0039506834,"teacher_disagreement_score":0.012618989,"about_ca_system_score_codex":0.000013649938,"about_ca_system_score_gemma":0.000026981288,"threshold_uncertainty_score":0.36817208},"labels":[],"label_agreement":null},{"id":"W3082767132","doi":"10.32866/001c.16724","title":"The Impact of Implementing Public Bicycle Share Programs on Bicycle Crashes","year":2020,"lang":"en","type":"article","venue":"Findings","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Montréal; Simon Fraser University; Memorial University of Newfoundland; Toronto Metropolitan University","funders":"","keywords":"Odds; Crash; Transport engineering; Public transport; Poison control; Difference in differences; Injury prevention; Human factors and ergonomics; Geography; Engineering; Business; Environmental health; Medicine; Computer science; Logistic regression; Statistics; Mathematics","score_opus":0.08046781721771668,"score_gpt":0.35798593600978906,"score_spread":0.2775181187920724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3082767132","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98576087,0.000034930472,0.000004604695,0.003690749,0.000039117807,0.00026009994,0.000026843658,0.000081536775,0.010101269],"genre_scores_gemma":[0.9995544,0.0000047891035,0.000019650239,0.00006222012,0.00015817907,0.000012427085,0.00001890429,0.000009401622,0.00016003913],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987259,0.000048418297,0.00023099892,0.00020921268,0.00031890965,0.00046654165],"domain_scores_gemma":[0.9994554,0.0000839868,0.00011252726,0.00013231773,0.00006613429,0.00014965796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055705383,0.0000953216,0.00013033743,0.00002591925,0.00077782857,0.00023504827,0.0004546507,0.000050179515,0.0005722023],"category_scores_gemma":[0.00023125095,0.000062528554,0.00017317722,0.00053274824,0.00018092996,0.00027909185,0.00004303601,0.00012399905,0.00002777657],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011584493,0.000041984065,0.9806994,0.000008854688,0.0000203994,7.975478e-7,0.0053683217,4.6629918e-7,0.00023803033,0.0005301032,0.0012609663,0.011819072],"study_design_scores_gemma":[0.00016649948,0.0001361839,0.9825143,0.000017824159,0.000008061586,2.855013e-8,0.0020306115,0.000042799256,0.0004832066,0.0006620246,0.013825787,0.0001126463],"about_ca_topic_score_codex":0.002174465,"about_ca_topic_score_gemma":0.00088644464,"teacher_disagreement_score":0.01379354,"about_ca_system_score_codex":0.00005257871,"about_ca_system_score_gemma":0.00012508982,"threshold_uncertainty_score":0.6265214},"labels":[],"label_agreement":null},{"id":"W3083013469","doi":"10.1007/s12469-020-00252-y","title":"Analysis of demand–supply gaps in public transit systems based on census and GTFS data: a case study of Calgary, Canada","year":2020,"lang":"en","type":"article","venue":"Public Transport","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":35,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Public transport; Transport engineering; Bridging (networking); Gap analysis (conservation); Supply and demand; Engineering; Computer science; Economics; Computer security","score_opus":0.0614488980343165,"score_gpt":0.28455605936177797,"score_spread":0.22310716132746147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3083013469","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956161,0.00019558283,0.00023617488,0.0016466723,0.00007805157,0.0007081302,0.00087244296,0.00003213437,0.00061471533],"genre_scores_gemma":[0.9994234,0.000011934362,0.00001744576,0.000101621044,0.000028693594,0.000021208038,0.00037557443,0.000012132498,0.000008018861],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99700093,0.00024615935,0.0008416144,0.00064231944,0.0008638185,0.0004051395],"domain_scores_gemma":[0.9985369,0.00014361265,0.00019586986,0.00054270873,0.00016332911,0.00041757323],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011929111,0.00019476635,0.00077484123,0.00032532183,0.00014904083,0.00004466404,0.00058927847,0.00010101867,0.000077071076],"category_scores_gemma":[0.000059518705,0.00018302926,0.000089502966,0.0028506054,0.00018696148,0.00042040972,0.000010751608,0.00020220818,6.964112e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058249665,0.0005847662,0.991254,0.00014198374,0.0002646086,0.00074242434,0.006037341,0.00029622103,0.0000038884286,0.00014677552,0.000031185744,0.00043856018],"study_design_scores_gemma":[0.0015102866,0.00013411639,0.97171265,0.000018788009,0.00077244954,0.0000012864464,0.013993553,0.009370578,0.0000030438796,0.0000016177725,0.0022391756,0.00024243101],"about_ca_topic_score_codex":0.92844063,"about_ca_topic_score_gemma":0.9922392,"teacher_disagreement_score":0.06379856,"about_ca_system_score_codex":0.00007701907,"about_ca_system_score_gemma":0.001307467,"threshold_uncertainty_score":0.7463716},"labels":[],"label_agreement":null},{"id":"W3083125798","doi":"10.1007/978-3-030-45533-0_12","title":"Sustainable Transportation in Cities","year":2020,"lang":"en","type":"book-chapter","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ontario Institute of Technology","funders":"","keywords":"Environmental planning; Business; Sustainable transport; Geography; Transport engineering; Economic geography; Regional science; Engineering; Sustainability","score_opus":0.023861798640135736,"score_gpt":0.26591468529644463,"score_spread":0.2420528866563089,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3083125798","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011911786,0.00020064626,0.000031338674,0.0010577566,0.00007175913,0.00029039287,0.000014695969,0.00009654358,0.9970457],"genre_scores_gemma":[0.24896024,0.000068734415,0.00003104581,0.00014175886,0.0001273023,0.0000046347413,0.00006357762,0.0000123816135,0.7505903],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989927,0.000009880166,0.00025221362,0.00025491146,0.00027776134,0.00021254236],"domain_scores_gemma":[0.9996718,0.000027805101,0.000064942076,0.000089944326,0.000066935165,0.00007856114],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001836316,0.00013087336,0.00021933597,0.000074157935,0.00012054197,0.000043823475,0.00017464678,0.00023734847,0.0048810444],"category_scores_gemma":[0.0000095256955,0.00013291491,0.00009419476,0.000052274394,0.00018260861,0.00022496539,0.0000028740965,0.00021367337,0.000043577482],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010349936,0.0000054843945,0.007312411,0.000067408175,0.0000059227,0.00006811708,0.0060501485,5.8218654e-7,2.4345164e-7,0.9849729,0.0011168729,0.00038955003],"study_design_scores_gemma":[0.00013624759,0.000014661952,0.007996247,0.000035384102,0.000022772769,8.363526e-9,0.005382972,7.118469e-7,0.0000041671315,0.28304026,0.7031037,0.00026282953],"about_ca_topic_score_codex":0.007897054,"about_ca_topic_score_gemma":0.06748598,"teacher_disagreement_score":0.70198685,"about_ca_system_score_codex":0.00010494005,"about_ca_system_score_gemma":0.00030396754,"threshold_uncertainty_score":0.99870944},"labels":[],"label_agreement":null},{"id":"W3083547466","doi":"10.31235/osf.io/ap7wh","title":"Planning transport for social inclusion: An accessibility-activity participation approach","year":2020,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Equity (law); Social equality; Neighbourhood (mathematics); Public transport; Business; Public economics; Social exclusion; Transportation planning; Transport engineering; Economic growth; Economics; Political science; Engineering","score_opus":0.16231780243026703,"score_gpt":0.411075730094921,"score_spread":0.24875792766465396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3083547466","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91332895,0.000011386366,0.069469176,0.0024003368,0.00007263497,0.0005645425,0.000019332192,0.00024483458,0.013888797],"genre_scores_gemma":[0.9969298,5.151082e-7,0.0016136372,0.0005126056,0.000697905,0.00007086081,0.00006329876,0.000011349864,0.000099976736],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984731,0.000117467105,0.00025331,0.00045315074,0.00036925767,0.00033373013],"domain_scores_gemma":[0.9994251,0.00004980357,0.00009134828,0.00010790544,0.00008756782,0.00023828627],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.000821463,0.000120169745,0.00021747212,0.000019481287,0.0019476274,0.000057732315,0.0003326804,0.00014114825,0.00022491332],"category_scores_gemma":[0.00005495196,0.00011130232,0.00011527032,0.0002899297,0.00017878537,0.0010556392,0.00003840387,0.00012415076,0.0000016415424],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00052934745,0.00064627215,0.79859674,0.00013124189,0.000021755253,0.0000019514014,0.17852883,0.000052295756,0.0008584944,0.0035367908,0.0002159015,0.016880382],"study_design_scores_gemma":[0.00078237226,0.00012323145,0.98016983,0.000004110496,0.000064373635,1.8523748e-8,0.0042317426,0.0045085484,0.00075287424,0.0030303171,0.0059554717,0.00037710636],"about_ca_topic_score_codex":0.000764057,"about_ca_topic_score_gemma":0.0009533633,"teacher_disagreement_score":0.18157311,"about_ca_system_score_codex":0.000048380047,"about_ca_system_score_gemma":0.00016678362,"threshold_uncertainty_score":0.9993517},"labels":[],"label_agreement":null},{"id":"W3083771823","doi":"10.1177/0361198120946023","title":"Assessing the Efficiency of Household Residential Location Choices","year":2020,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"TRIPS architecture; Work (physics); Public transport; Transport engineering; Vehicle miles of travel; Car ownership; Distribution (mathematics); Sustainable transport; Business; Mode choice; Travel behavior; Kilometer; Environmental economics; Sustainability; Economics; Engineering","score_opus":0.18149588547741394,"score_gpt":0.44606988494748573,"score_spread":0.26457399947007176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3083771823","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.980892,0.00044396918,0.0024180934,0.014232742,0.00045156668,0.0009691512,0.000028847562,0.000032436194,0.00053116935],"genre_scores_gemma":[0.99826723,0.00045915242,0.00036542158,0.000095324714,0.0005318918,0.000024008763,0.000007679902,0.00003275611,0.00021655826],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9891154,0.0024283326,0.0016363799,0.000406155,0.0056095,0.00080424256],"domain_scores_gemma":[0.9926063,0.0015310796,0.0008184713,0.00042534148,0.0042062528,0.00041256312],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.008883397,0.00019685853,0.00042392983,0.00041704485,0.0017044633,0.00035780366,0.0021425155,0.00019522075,0.00029874375],"category_scores_gemma":[0.00075782323,0.00013034478,0.00041046948,0.0043222536,0.0021983157,0.0016525317,0.00000849974,0.0020310613,0.000008003475],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007358761,0.00033371695,0.95235,0.00041926798,0.000118822245,0.000039215713,0.029418042,0.0014341798,0.004841299,0.0036840793,0.003247827,0.0033776723],"study_design_scores_gemma":[0.0007736747,0.0002436668,0.9715415,0.00024909916,0.000072484676,4.095377e-8,0.012850353,0.00007296845,0.002823907,0.0015765157,0.009651357,0.00014442965],"about_ca_topic_score_codex":0.03351692,"about_ca_topic_score_gemma":0.07125212,"teacher_disagreement_score":0.0377352,"about_ca_system_score_codex":0.00015700169,"about_ca_system_score_gemma":0.0018483113,"threshold_uncertainty_score":0.99959517},"labels":[],"label_agreement":null},{"id":"W3084077574","doi":"10.18280/ijsdp.150606","title":"An Evaluation of the Universal Accessibility of Bus Stop Environments by Senior Tourists","year":2020,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"European Regional Development Fund; Fundação para a Ciência e a Tecnologia","keywords":"Transport engineering; Business; Universal design; Computer science; Architectural engineering; Advertising; Engineering; World Wide Web","score_opus":0.02773675946032253,"score_gpt":0.31286482627150913,"score_spread":0.28512806681118663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3084077574","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998132,0.00017551976,0.00038412143,0.00043504062,0.000121142635,0.000105511055,0.0000040510713,0.0000020473233,0.00064059295],"genre_scores_gemma":[0.9994936,0.0000074141617,0.0002764779,0.000034722456,0.000073137606,5.9419233e-7,0.000005347747,0.0000025051052,0.000106201274],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99841833,0.00012725471,0.0003453992,0.00009274095,0.0009141521,0.00010212864],"domain_scores_gemma":[0.99891174,0.000042478932,0.0004359736,0.000041763877,0.0004968368,0.000071207076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013623021,0.000057331643,0.000114056915,0.0000480915,0.00011481785,0.000032290183,0.00038459856,0.000039128263,0.00007218995],"category_scores_gemma":[0.00016798676,0.000044585722,0.00003410131,0.00010639317,0.000108160646,0.000538889,0.000036126337,0.00009380005,9.635861e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002090059,0.00011187107,0.921822,0.000026974005,0.00009821605,0.000029097597,0.0689345,0.00030282862,0.0012852873,0.00020174039,0.00021906104,0.006759437],"study_design_scores_gemma":[0.0010046461,0.000047138095,0.8885439,0.00006798133,0.00005741251,7.787843e-7,0.091916285,0.00018172106,0.011283136,0.00069586287,0.0060921484,0.000109011096],"about_ca_topic_score_codex":0.000117897325,"about_ca_topic_score_gemma":0.000010079572,"teacher_disagreement_score":0.033278104,"about_ca_system_score_codex":0.0001603886,"about_ca_system_score_gemma":0.0005277752,"threshold_uncertainty_score":0.1818153},"labels":[],"label_agreement":null},{"id":"W3084182907","doi":"10.32866/001c.16710","title":"Comparing Spatial Associations of Commuting versus Recreational Ridership Captured by the Strava Fitness App","year":2020,"lang":"en","type":"article","venue":"Findings","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Recreation; Transport engineering; Geography; Intersection (aeronautics); Crash; Computer science; Engineering; Ecology","score_opus":0.12721688753137764,"score_gpt":0.32523685174604233,"score_spread":0.1980199642146647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3084182907","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98236936,0.000054048644,0.00034259126,0.0039661,0.00017649503,0.00015671377,0.00007864135,0.000043534485,0.012812527],"genre_scores_gemma":[0.9994552,0.0000018188473,0.000034322424,0.00007511167,0.00019118407,0.000003838929,0.00010753405,0.000004993328,0.00012596602],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99904567,0.00008960195,0.000208389,0.00013406857,0.00034220688,0.00018008906],"domain_scores_gemma":[0.9992952,0.000359567,0.00013692488,0.00007485155,0.00006775007,0.00006570567],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004530279,0.00006722989,0.00013982509,0.000012360369,0.0005705795,0.000055017652,0.000311759,0.00006846298,0.00026076805],"category_scores_gemma":[0.00036764474,0.000058739697,0.00006307807,0.0002262384,0.00019036433,0.0001356338,0.000020532441,0.00017699647,0.000005950951],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004301884,0.000029450108,0.9628502,0.000010543215,0.000033270546,2.1064552e-7,0.030820038,0.000033846973,0.00023837638,0.0020614162,0.0036272134,0.00025239057],"study_design_scores_gemma":[0.00088437804,0.000035071214,0.9826018,0.000023404755,0.00006198341,1.8490734e-8,0.009225007,0.0004857967,0.0010788217,0.00038142985,0.0050501735,0.00017207573],"about_ca_topic_score_codex":0.009747855,"about_ca_topic_score_gemma":0.0063522304,"teacher_disagreement_score":0.021595031,"about_ca_system_score_codex":0.000061201725,"about_ca_system_score_gemma":0.000093851966,"threshold_uncertainty_score":0.9968463},"labels":[],"label_agreement":null},{"id":"W3084510604","doi":"10.1080/23754931.2020.1821245","title":"Facility Centers in Rural Areas: Concept, Development, Effect on Habitational Accessibility and Facility Crowdedness, and Policy Strategies for Resource Allocation","year":2020,"lang":"en","type":"article","venue":"Papers in Applied Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Facility location problem; Facility management; Health facility; Catchment area; Business; Resource allocation; Quality (philosophy); Operations management; Transport engineering; Environmental planning; Environmental economics; Computer science; Geography; Operations research; Health services; Engineering; Environmental health; Marketing; Medicine; Population; Economics; Drainage basin","score_opus":0.013650812805762887,"score_gpt":0.27699210073363095,"score_spread":0.26334128792786804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3084510604","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99331856,0.00009623945,0.000094761774,0.00088425603,0.000024336716,0.0011260356,0.0001165423,0.00005784099,0.004281445],"genre_scores_gemma":[0.99906796,0.00001016424,0.00017143636,0.00035233353,0.000030376943,0.00018968871,0.00017092722,0.0000041848666,0.0000029186365],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982862,0.00014526905,0.00037160414,0.0005667613,0.00027706506,0.0003530901],"domain_scores_gemma":[0.9992741,0.00032506353,0.000088724395,0.000121703226,0.000026803691,0.00016364334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008170324,0.00020472267,0.00028205855,0.00013050731,0.00029962044,0.00013014385,0.00018649902,0.00012801618,0.000019618688],"category_scores_gemma":[0.00013410066,0.00019679894,0.00005946804,0.0005464223,0.0009893324,0.00019189471,0.000030581432,0.00018194769,8.016179e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048759973,0.00007077412,0.9481977,0.00014082751,0.000013515551,3.5835325e-7,0.012230376,0.00001985665,0.00018537093,0.0016398076,0.000008474466,0.037005346],"study_design_scores_gemma":[0.0011893017,0.000053019892,0.9852286,0.000019696117,0.0000067886654,2.022273e-8,0.00966611,0.000018142231,0.00013403897,0.0019173332,0.0015570013,0.00020997161],"about_ca_topic_score_codex":0.0011500904,"about_ca_topic_score_gemma":0.003950521,"teacher_disagreement_score":0.037030883,"about_ca_system_score_codex":0.00008108936,"about_ca_system_score_gemma":0.00019706899,"threshold_uncertainty_score":0.8025228},"labels":[],"label_agreement":null},{"id":"W3084534762","doi":"10.1016/j.jth.2020.100914","title":"Encouraging active transportation to school: Lessons learned from implementing a walking school bus program in Northeastern Ontario","year":2020,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Innovation Initiatives Ontario North; Regent Park Community Health Centre; University of Windsor; Nipissing University","funders":"Canadian Institutes of Health Research","keywords":"Thematic analysis; Focus group; Active living; Physical activity; Perception; Medical education; School bus; Psychology; Applied psychology; Qualitative research; Transport engineering; Medicine; Engineering; Business; Marketing; Physical therapy; Sociology","score_opus":0.08018399766115959,"score_gpt":0.38015898059168546,"score_spread":0.2999749829305259,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3084534762","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9675716,0.00016878218,0.0014534433,0.02940288,0.00020899334,0.00076850044,0.000057531728,0.000060285915,0.00030797106],"genre_scores_gemma":[0.99464625,0.00009550814,0.0034450917,0.0012111594,0.0004793424,0.000015361169,0.000047956248,0.000025719977,0.00003360862],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99617976,0.0001706044,0.0015243284,0.00042950665,0.0008989888,0.00079683424],"domain_scores_gemma":[0.9975511,0.000059682137,0.0007958461,0.00013919517,0.0002145,0.0012397197],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015943683,0.0002312018,0.00068125897,0.00019969248,0.00041219612,0.00008370348,0.0004618861,0.000105675506,0.0006257092],"category_scores_gemma":[0.00005693778,0.00022997739,0.0002706949,0.00069929817,0.000054930562,0.0009748565,0.0000048444936,0.0010201222,0.0000074334494],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035528536,0.00017631595,0.83426696,0.000047260888,0.000042040247,0.000084357314,0.098090984,0.00012153663,0.000075852164,0.000017221757,0.000024065273,0.06669815],"study_design_scores_gemma":[0.0010812995,0.00025912328,0.96943825,0.00031034055,0.000054116426,3.4381588e-7,0.01313567,0.0000108605045,0.000044164277,0.0003237522,0.015129679,0.00021240207],"about_ca_topic_score_codex":0.21801254,"about_ca_topic_score_gemma":0.8845893,"teacher_disagreement_score":0.6665768,"about_ca_system_score_codex":0.0007710233,"about_ca_system_score_gemma":0.003752535,"threshold_uncertainty_score":0.93782055},"labels":[],"label_agreement":null},{"id":"W3086125023","doi":"10.1177/0885412220955197","title":"Equity Analysis and New Mobility Technologies: Toward Meaningful Interventions","year":2020,"lang":"en","type":"article","venue":"Journal of Planning Literature","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Equity (law); Transit (satellite); Business; Transport engineering; Public economics; Public transport; Economics; Engineering; Political science","score_opus":0.10245316897456239,"score_gpt":0.3889221416330095,"score_spread":0.28646897265844706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3086125023","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9549925,0.013861425,0.014871301,0.014434646,0.00022803382,0.00012372446,0.00003189851,0.00013360295,0.0013228878],"genre_scores_gemma":[0.9971021,0.0000556812,0.0023503297,0.00013109583,0.0002499463,3.9759576e-7,0.000004931762,0.0000034448324,0.00010206925],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988265,0.00007866909,0.00042586002,0.00017248213,0.00031667337,0.00017981794],"domain_scores_gemma":[0.99911755,0.000073280455,0.00033376162,0.000096659845,0.00017269577,0.00020604664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080006407,0.00009811767,0.00032412092,0.0001617421,0.00016783646,0.0002923492,0.000364503,0.00015682702,0.000071004964],"category_scores_gemma":[0.0006737177,0.00007716271,0.0003502747,0.0012437148,0.00012341332,0.0005487901,0.000061099636,0.0005463645,6.246305e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011171478,0.00008024662,0.89949536,0.00016723781,0.0004944367,0.00011774294,0.08897377,0.00005934472,0.00020313193,0.0005616026,0.0032036393,0.006531781],"study_design_scores_gemma":[0.0014197709,0.0006969381,0.8847318,0.0017017999,0.0027443925,0.000011528435,0.03699365,0.00022029008,0.0004829879,0.020755965,0.049539953,0.00070092164],"about_ca_topic_score_codex":0.0000554389,"about_ca_topic_score_gemma":0.00005955854,"teacher_disagreement_score":0.05198012,"about_ca_system_score_codex":0.00003933076,"about_ca_system_score_gemma":0.00011635475,"threshold_uncertainty_score":0.3146604},"labels":[],"label_agreement":null},{"id":"W3086290127","doi":"10.1139/cjce-2020-0143","title":"A new method for determining optimal locations of bike stations to maximize coverage in a bike share system network","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Centrality; Computer science; Focus (optics); Point (geometry); Transport engineering; Bike sharing; Operations research; Real-time computing; Engineering; Statistics; Mathematics","score_opus":0.02629839493357326,"score_gpt":0.27737877505177627,"score_spread":0.251080380118203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3086290127","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03077801,0.0002621671,0.9670278,0.0010154096,0.00025614872,0.00023720377,0.00006833107,0.000012334933,0.00034262254],"genre_scores_gemma":[0.9498836,0.0000017465917,0.049710684,0.000063997475,0.00030251857,0.000005798095,0.0000026715034,0.000011787098,0.000017223269],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99908453,0.00002571309,0.0003955704,0.00009623603,0.000121200756,0.00027672356],"domain_scores_gemma":[0.99885947,0.00014098719,0.00011523533,0.000061688654,0.000104962346,0.00071766664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044026313,0.0000765528,0.00022993014,0.00017147165,0.00009260898,0.000049381717,0.00022870257,0.00004659634,0.000075039454],"category_scores_gemma":[0.0002694049,0.000085947555,0.00008193742,0.0005522429,0.00001079393,0.00019802297,0.0000041453786,0.00011819603,5.234751e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014965659,0.000003309398,0.017732853,0.00013719026,0.000030120804,0.00003251538,0.013962777,0.9635203,0.000055781427,0.0013607256,0.0010124285,0.0021370477],"study_design_scores_gemma":[0.0065942532,0.0010234878,0.27001393,0.00708752,0.0005927634,0.00003331596,0.024652993,0.51685834,0.0004455859,0.0009887492,0.169395,0.0023140432],"about_ca_topic_score_codex":0.0062606833,"about_ca_topic_score_gemma":0.40420845,"teacher_disagreement_score":0.9191056,"about_ca_system_score_codex":0.00018179117,"about_ca_system_score_gemma":0.0016089207,"threshold_uncertainty_score":0.94643223},"labels":[],"label_agreement":null},{"id":"W3086705040","doi":"10.3389/fpubh.2020.00498","title":"Travel Time to Health Facilities as a Marker of Geographical Accessibility Across Heterogeneous Land Coverage in Peru","year":2020,"lang":"en","type":"article","venue":"Frontiers in Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":74,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute; Fogarty International Center; National Institute of Mental Health; National Heart, Lung, and Blood Institute; Fondo Nacional de Desarrollo Científico, Tecnológico y de Innovación Tecnológica; Medical Research Council; Alliance for Health Policy and Systems Research; Harvard T.H. Chan School of Public Health; Inter-American Institute for Global Change Research; Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica; World Diabetes Foundation; National Science Foundation; Grand Challenges Canada; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; International Development Research Centre; National Institutes of Health; Bloomberg Philanthropies; Wellcome Trust","keywords":"Geography; Land use; Environmental planning; Travel time; Environmental health; Environmental resource management; Business; Transport engineering; Medicine; Civil engineering; Environmental science; Engineering","score_opus":0.03534695751192147,"score_gpt":0.3253906616726037,"score_spread":0.29004370416068226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3086705040","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95347214,0.0005552731,0.0013761971,0.041634228,0.00021755276,0.000945973,0.0004110329,0.000056822515,0.0013307801],"genre_scores_gemma":[0.9941708,0.00015837079,0.0005083397,0.004647006,0.00007059301,0.000031172778,0.000036002737,0.000013545406,0.0003641977],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9956443,0.0008651736,0.0009894948,0.00068604323,0.00062973367,0.001185256],"domain_scores_gemma":[0.99831295,0.00007852301,0.00020388821,0.00030125582,0.000076686105,0.0010266999],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041009234,0.00020112572,0.00079304294,0.00018079135,0.00027681267,0.0001152309,0.00060877495,0.00017424958,0.0005454202],"category_scores_gemma":[0.00044482786,0.00020202217,0.00013372183,0.001381663,0.0004019426,0.00043729282,0.0000737537,0.00039103936,0.0000134770835],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011928216,0.00021053711,0.9312193,0.00022675194,0.000011485039,0.0000049855967,0.046679314,0.000012097157,7.644458e-7,0.00003345852,0.0014802967,0.020001726],"study_design_scores_gemma":[0.0007200112,0.00022570608,0.9633795,0.000035414538,9.695889e-7,2.5896807e-7,0.004698667,0.00021234265,0.000002431594,0.000714009,0.02980276,0.00020790473],"about_ca_topic_score_codex":0.030128337,"about_ca_topic_score_gemma":0.01376391,"teacher_disagreement_score":0.041980647,"about_ca_system_score_codex":0.00045728282,"about_ca_system_score_gemma":0.0022385237,"threshold_uncertainty_score":0.9763301},"labels":[],"label_agreement":null},{"id":"W3086852927","doi":"10.1016/j.tra.2020.08.007","title":"How fair is the allocation of bike-sharing infrastructure? Framework for a qualitative and quantitative spatial fairness assessment","year":2020,"lang":"en","type":"article","venue":"Transportation Research Part A Policy and Practice","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":62,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Hans Böckler Stiftung","keywords":"Transport engineering; Bike sharing; Computer science; Business; Operations research; Environmental economics; Engineering; Economics","score_opus":0.24662177729950227,"score_gpt":0.5446869672683312,"score_spread":0.2980651899688289,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3086852927","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40076488,0.00031562132,0.2366864,0.35832945,0.00007057815,0.002149823,0.00041240663,0.000045404428,0.0012254404],"genre_scores_gemma":[0.99048495,0.0003006712,0.008116994,0.0006666089,0.00020147371,0.00011351619,0.00003827138,0.000009531735,0.00006797194],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.9976736,0.00079347444,0.0002783621,0.0003352404,0.00063570193,0.00028364584],"domain_scores_gemma":[0.9923507,0.006486162,0.00022143731,0.00012094287,0.0006592973,0.00016145172],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032577356,0.00010674813,0.00018502184,0.00007524881,0.0007096305,0.00019949488,0.00018929936,0.00010757689,0.000030864772],"category_scores_gemma":[0.0042963563,0.00008510805,0.00004681586,0.0006178101,0.0007719602,0.00097334984,0.0000089371215,0.0003676744,4.6745828e-7],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00049737166,0.000039780207,0.007962668,0.00019691046,0.00006515977,8.217521e-7,0.3919065,0.000008807817,0.00012443907,0.59688073,0.00017096236,0.0021458592],"study_design_scores_gemma":[0.001031605,0.0005964225,0.20603171,0.000118863354,0.0001473929,1.7796788e-7,0.4850028,0.0009818258,0.0004885327,0.22000805,0.08528208,0.00031056334],"about_ca_topic_score_codex":0.009694996,"about_ca_topic_score_gemma":0.003450027,"teacher_disagreement_score":0.5897201,"about_ca_system_score_codex":0.00003126721,"about_ca_system_score_gemma":0.0004334154,"threshold_uncertainty_score":0.99689955},"labels":[],"label_agreement":null},{"id":"W3087053085","doi":"10.25316/ir-15067","title":"Cycling into the future: Assessing attitudes towards e-bikes in a mid-sized, sprawled Canadian city","year":2020,"lang":"en","type":"article","venue":"VIUSpace (Vancouver Island University Library)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Vancouver Island University","keywords":"Cycling; Geography","score_opus":0.014644612855307841,"score_gpt":0.23776195632981018,"score_spread":0.22311734347450232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3087053085","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8116313,0.00026622618,0.00012125505,0.03920693,0.00057239376,0.00030026556,0.000020448499,0.00015408604,0.14772706],"genre_scores_gemma":[0.99443245,0.0001627443,0.00041191396,0.0008961593,0.00050384423,6.3924625e-7,0.0000062333324,0.000013689646,0.0035723138],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99838954,0.00024142262,0.00015845316,0.00041724258,0.00031594597,0.00047739124],"domain_scores_gemma":[0.9991652,0.00009323119,0.000089193876,0.0002070122,0.0000352962,0.0004100692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020485795,0.00018722152,0.0002613807,0.00013664561,0.0010191743,0.00026146774,0.0007618224,0.000177594,0.0005756157],"category_scores_gemma":[0.000042378313,0.0001599124,0.0001298745,0.0011959684,0.00028262477,0.0024150556,0.00009376449,0.00038691782,0.000009223986],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000946646,0.0000509557,0.8305607,0.000035694495,0.00003633221,0.00016602209,0.03680127,0.000028791172,0.000027996773,0.00047277115,0.12953937,0.0021854427],"study_design_scores_gemma":[0.001059961,0.000024454283,0.31822896,0.00005414749,0.000049359944,7.709548e-8,0.035760652,0.00006303773,0.0002059907,0.00043206627,0.6436796,0.00044169367],"about_ca_topic_score_codex":0.26644775,"about_ca_topic_score_gemma":0.99769664,"teacher_disagreement_score":0.73124886,"about_ca_system_score_codex":0.00019552225,"about_ca_system_score_gemma":0.0014344791,"threshold_uncertainty_score":0.7838768},"labels":[],"label_agreement":null},{"id":"W3087329740","doi":"10.1177/0361198120950315","title":"Modeling Destination Choice Behavior of the Dockless Bike Sharing Service Users","year":2020,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"TRIPS architecture; Destinations; Transport engineering; Multinomial logistic regression; Service (business); Travel behavior; Computer science; Attractiveness; Business; Geography; Marketing; Engineering","score_opus":0.21846048608396793,"score_gpt":0.4370900023968935,"score_spread":0.21862951631292557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3087329740","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9848618,0.000116016985,0.0010163666,0.012044725,0.00040490812,0.0012708337,0.000052413874,0.0000323695,0.00020059421],"genre_scores_gemma":[0.9986109,0.00019428472,0.00048991357,0.0001355688,0.0002940032,0.000051724484,0.000009950398,0.000040355615,0.00017328096],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9909426,0.0012262433,0.0015434312,0.00046751765,0.0050016427,0.0008185835],"domain_scores_gemma":[0.9923257,0.0006580107,0.0005508689,0.00047367805,0.005512655,0.00047908467],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.005056845,0.00022009343,0.00042916177,0.00037781047,0.0014336673,0.00016833462,0.002616638,0.0002198744,0.00028452283],"category_scores_gemma":[0.00052668736,0.00015660161,0.00046420947,0.0042694504,0.000780787,0.0011446899,0.000016228405,0.0021869466,0.000006784611],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042113944,0.00019323608,0.9692118,0.00028429672,0.00005629583,0.000015182237,0.016725931,0.00712439,0.0029205396,0.0012624386,0.00019254762,0.0015921602],"study_design_scores_gemma":[0.000997549,0.00013750732,0.9849662,0.00034755783,0.00011268699,5.283071e-8,0.006815569,0.0020794917,0.0013176595,0.0012066151,0.0018371266,0.00018194663],"about_ca_topic_score_codex":0.07195393,"about_ca_topic_score_gemma":0.29343805,"teacher_disagreement_score":0.22148412,"about_ca_system_score_codex":0.00023981389,"about_ca_system_score_gemma":0.0012047907,"threshold_uncertainty_score":0.9998663},"labels":[],"label_agreement":null},{"id":"W3087712425","doi":"10.1016/j.socscimed.2020.113383","title":"Successes and failures of built environment interventions: Using concept mapping to assess stakeholder perspectives in four Canadian cities","year":2020,"lang":"en","type":"article","venue":"Social Science & Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Trois-Rivières; Memorial University of Newfoundland; Centre Hospitalier de l’Université de Montréal; Simon Fraser University","funders":"Canadian Institutes of Health Research","keywords":"Psychological intervention; Stakeholder; Built environment; Context (archaeology); Stakeholder engagement; Public relations; Equity (law); Political science; Sociology; Geography; Medicine; Nursing; Engineering; Civil engineering","score_opus":0.2240961605456478,"score_gpt":0.37323401790267224,"score_spread":0.14913785735702445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3087712425","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9812228,0.000663369,0.00034257554,0.015687881,0.000094547286,0.00025868736,0.000012186923,0.000012382537,0.001705556],"genre_scores_gemma":[0.99936664,0.000020736576,0.000099368895,0.00024317832,0.00022644155,0.0000049388996,8.691327e-7,0.0000038245835,0.00003398033],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99847203,0.000080407066,0.0002660947,0.00031040545,0.0005253364,0.00034574856],"domain_scores_gemma":[0.9993975,0.00005503027,0.00008816792,0.00006118685,0.00008459146,0.00031352902],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00091386435,0.0000887652,0.00022825017,0.00018034216,0.0005837586,0.000048060007,0.00032822325,0.000043205528,0.00034578925],"category_scores_gemma":[0.000534999,0.000081463644,0.000035026074,0.0009063041,0.0030233373,0.00045487465,0.00003302476,0.000104628794,4.2134567e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000443034,0.000014738238,0.5854244,0.00004135245,0.0000053055737,0.000005628979,0.40787974,0.000006635703,0.0016811136,0.003637068,0.000058707636,0.0012408416],"study_design_scores_gemma":[0.0002800216,0.00006466564,0.5705799,0.00020048782,0.000016862161,1.1968487e-7,0.42600024,0.000017468174,0.00011730093,0.00093902665,0.00163299,0.00015093856],"about_ca_topic_score_codex":0.37405547,"about_ca_topic_score_gemma":0.252008,"teacher_disagreement_score":0.12204747,"about_ca_system_score_codex":0.00028202494,"about_ca_system_score_gemma":0.0005190013,"threshold_uncertainty_score":0.9996899},"labels":[],"label_agreement":null},{"id":"W3087953136","doi":"10.1177/2399808320959079","title":"Using deep learning to examine the correlation between transportation planning and perceived safety of the built environment","year":2020,"lang":"en","type":"article","venue":"Environment and Planning B Urban Analytics and City Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Perception; Probit model; Convolutional neural network; Ordered probit; Variables; Logit; Ordinary least squares; Set (abstract data type); Regression analysis; Transportation planning; Transport engineering; Logistic regression; Geography; Probit; Computer science; Engineering; Psychology; Machine learning","score_opus":0.05504780798520448,"score_gpt":0.2772891670892123,"score_spread":0.22224135910400783,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3087953136","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9913373,0.00032785747,0.00733579,0.0006118504,0.000023649889,0.00018813845,0.0000075832286,0.000007451777,0.00016039443],"genre_scores_gemma":[0.9994456,0.0000621268,0.000277659,0.00008473055,0.00006187674,9.013524e-7,0.0000045057845,0.0000038818916,0.00005872475],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988111,0.00006121228,0.00021564598,0.00030310013,0.00041474772,0.00019418719],"domain_scores_gemma":[0.9995048,0.0001107885,0.00012438215,0.000092502305,0.000008275956,0.00015923641],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071611756,0.000103557526,0.00014177077,0.000031772233,0.0012188915,0.00007427645,0.0001576473,0.000044825538,0.000023702734],"category_scores_gemma":[0.000055049833,0.00007326246,0.000025739559,0.00020010091,0.00093612645,0.00019239858,0.000040045117,0.00017107288,3.802048e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001037496,0.0000048089196,0.9536206,0.00000581202,0.0000064830933,5.9615974e-7,0.035098907,0.009794708,0.0008250475,0.00004072481,0.0000023208645,0.0005896213],"study_design_scores_gemma":[0.000111282396,0.000035559326,0.9802925,0.000025059466,0.00006925978,1.052579e-7,0.004406519,0.013880237,0.000056914992,0.000048365528,0.0009758021,0.0000983975],"about_ca_topic_score_codex":0.00019662557,"about_ca_topic_score_gemma":0.000021508591,"teacher_disagreement_score":0.030692386,"about_ca_system_score_codex":0.000031711283,"about_ca_system_score_gemma":0.000022550495,"threshold_uncertainty_score":0.9374851},"labels":[],"label_agreement":null},{"id":"W3088012076","doi":"","title":"Duurzaamheidsprestaties 2018 in Noord-Holland: Akkerbouw","year":2020,"lang":"nl","type":"article","venue":"Socio-Environmental Systems Modeling","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"","keywords":"History","score_opus":0.03976213047997671,"score_gpt":0.25526506956472306,"score_spread":0.21550293908474635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3088012076","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.983343,0.0075682392,0.0016563839,0.0014892899,0.0011852491,0.0011110061,0.0002294107,0.0001307122,0.0032866802],"genre_scores_gemma":[0.99633706,0.0009335031,0.00006419736,0.00028677593,0.0010488281,0.00005625276,0.00007337681,0.00007799893,0.0011220039],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9949155,0.00050006685,0.0012892442,0.0011147638,0.0011264796,0.0010539317],"domain_scores_gemma":[0.99866885,0.000094575735,0.00032889054,0.00037006865,0.000011808113,0.0005258187],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008988928,0.0005489385,0.0008330246,0.000069617534,0.00078885193,0.00029682493,0.00071950915,0.00050288055,0.00068290794],"category_scores_gemma":[0.000029494946,0.00057636044,0.00031509434,0.0003159171,0.000585489,0.000867379,0.00016824402,0.0006873322,0.0008716019],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008672708,0.00022308198,0.9205429,0.00028692244,0.0000759345,0.000045262757,0.050080556,0.027547654,0.0004006968,0.0001319771,0.00037073402,0.00020752741],"study_design_scores_gemma":[0.002531177,0.00023009862,0.016845563,0.0004836499,0.00019059889,0.0000013350722,0.7267079,0.24562868,0.000008755987,0.0007166388,0.0048891334,0.0017664601],"about_ca_topic_score_codex":0.01187763,"about_ca_topic_score_gemma":0.00019704865,"teacher_disagreement_score":0.9036974,"about_ca_system_score_codex":0.0005756618,"about_ca_system_score_gemma":0.00014517593,"threshold_uncertainty_score":0.99990636},"labels":[],"label_agreement":null},{"id":"W3088340659","doi":"10.32866/001c.17291","title":"Long-Distance Person Travel: A Cluster-Based Approach","year":2020,"lang":"en","type":"article","venue":"Findings","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"TRIPS architecture; Market segmentation; Segmentation; Cluster analysis; Geography; Set (abstract data type); Business; Transport engineering; Marketing; Computer science; Artificial intelligence; Engineering","score_opus":0.04879126107022032,"score_gpt":0.27982549167571397,"score_spread":0.23103423060549366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3088340659","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9148213,0.0000894412,0.034549214,0.005694909,0.00011263627,0.00032699824,0.000023281966,0.00017461278,0.04420761],"genre_scores_gemma":[0.9971319,0.0000011463558,0.00068118464,0.0010667174,0.00020847902,0.000010001339,0.00001977489,0.000010467097,0.00087034557],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99892926,0.000044283544,0.00012199812,0.00030974665,0.00030947535,0.0002852524],"domain_scores_gemma":[0.9996173,0.000033793498,0.00004339114,0.000096462245,0.00003001577,0.00017908195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025421922,0.0000965361,0.00014389043,0.000022225575,0.00030550227,0.000082714156,0.0003007676,0.000087266104,0.00036600736],"category_scores_gemma":[0.00006401975,0.000093745875,0.00009306517,0.00036419128,0.00017700644,0.00018277302,0.0000062957643,0.00014798158,0.00004575071],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013210264,0.00016248618,0.9096372,0.0001655042,0.00001539018,0.000013969317,0.07845015,0.000025852643,0.00017805242,0.0034598217,0.00664212,0.0011173248],"study_design_scores_gemma":[0.0019254162,0.00014352922,0.9314235,0.00005964018,0.00007238287,2.1936496e-7,0.014783356,0.0042312825,0.0011320743,0.00022784555,0.045152456,0.00084831886],"about_ca_topic_score_codex":0.00041024157,"about_ca_topic_score_gemma":0.00030419635,"teacher_disagreement_score":0.08231059,"about_ca_system_score_codex":0.00005105729,"about_ca_system_score_gemma":0.00010594461,"threshold_uncertainty_score":0.4007524},"labels":[],"label_agreement":null},{"id":"W3089131972","doi":"10.1177/0361198120952793","title":"Spatial Access by Public Transport and Likelihood of Healthcare Consultations at Hospitals","year":2020,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto; Public Health Agency of Canada; Polytechnique Montréal; Centre Hospitalier de l’Université de Montréal; McGill University","funders":"Social Sciences and Humanities Research Council of Canada; Canadian Institutes of Health Research","keywords":"Equity (law); Metropolitan area; Health care; Catchment area; Public health; Multilevel model; Medicine; Household income; Geography; Environmental health; Demography; Business; Nursing; Economic growth; Political science; Economics; Computer science; Sociology; Cartography","score_opus":0.11568250759318859,"score_gpt":0.4222260063358834,"score_spread":0.3065434987426948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3089131972","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.944539,0.00082791864,0.00089236774,0.05135085,0.00025951178,0.0013509613,0.00050301827,0.000037034708,0.00023931767],"genre_scores_gemma":[0.9967227,0.0021781507,0.00030843462,0.0001776743,0.00020763042,0.000052321513,0.00007218673,0.000045439916,0.00023548587],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99036777,0.0015978593,0.001890263,0.00057716196,0.004462863,0.0011040837],"domain_scores_gemma":[0.9918197,0.00089778367,0.0007643608,0.00034752945,0.0049734726,0.0011971486],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0044261664,0.00027484776,0.0006748939,0.0004995577,0.0014722538,0.00016833367,0.0016405553,0.0002955746,0.0006623807],"category_scores_gemma":[0.0004380223,0.00022758382,0.00039242744,0.0028187945,0.0023571462,0.0014711989,0.000013012664,0.0017297381,0.000006970437],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00084063655,0.00020324781,0.9696719,0.00039330623,0.00011141142,0.000030741772,0.017601406,0.000012849532,0.0013899317,0.0013081717,0.0029738995,0.00546252],"study_design_scores_gemma":[0.001576415,0.00051022775,0.9676757,0.0001653279,0.00005828966,7.627445e-8,0.0050348523,0.000016003814,0.0013075216,0.0018119416,0.021619856,0.00022382587],"about_ca_topic_score_codex":0.10447455,"about_ca_topic_score_gemma":0.3675485,"teacher_disagreement_score":0.26307395,"about_ca_system_score_codex":0.00023715977,"about_ca_system_score_gemma":0.0017856953,"threshold_uncertainty_score":0.9998277},"labels":[],"label_agreement":null},{"id":"W3089367349","doi":"10.1080/23249935.2020.1831649","title":"Travel distance and land use: a generalized Box–Cox model with conditional spatial lag dependence","year":2020,"lang":"en","type":"article","venue":"Transportmetrica A Transport Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Econometrics; Lag; Autocorrelation; Spatial analysis; Spatial econometrics; Econometric model; Statistics; Sampling (signal processing); Spatial dependence; Field (mathematics); Mathematics; Computer science","score_opus":0.03891284272084007,"score_gpt":0.27752590364346497,"score_spread":0.2386130609226249,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3089367349","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6686969,0.00016390704,0.32733855,0.001573176,0.000054964126,0.0005762737,0.00044734793,0.00017578733,0.00097310817],"genre_scores_gemma":[0.9921968,0.00016562066,0.006566523,0.0006058752,0.000093279436,0.00003917838,0.0000959907,0.000029173165,0.00020757124],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9950037,0.000047391557,0.00059980934,0.001322306,0.0020754714,0.00095132727],"domain_scores_gemma":[0.9980016,0.00010617921,0.0001843914,0.00032281666,0.00029261195,0.001092454],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.00077896554,0.0003921224,0.00055326225,0.00026443927,0.0012250538,0.00018704702,0.0008888346,0.0001526696,0.00019924359],"category_scores_gemma":[0.00006209698,0.00033913,0.00013601972,0.003536601,0.0034511278,0.0022053476,0.000009348511,0.00038228845,0.000005425058],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004829652,0.00017211233,0.97962797,0.00006473417,0.000025600493,0.00015966875,0.0069435704,0.0015101396,0.0009974112,0.009310331,0.00001101422,0.0006944603],"study_design_scores_gemma":[0.0018857924,0.00017391308,0.9866386,0.00003956906,0.00016483497,0.0000034348575,0.00032807593,0.006962615,0.00082533574,0.0011766759,0.0010196543,0.0007814784],"about_ca_topic_score_codex":0.0045035533,"about_ca_topic_score_gemma":0.0065576946,"teacher_disagreement_score":0.32349992,"about_ca_system_score_codex":0.00008619818,"about_ca_system_score_gemma":0.0012950769,"threshold_uncertainty_score":0.99990606},"labels":[],"label_agreement":null},{"id":"W3090511573","doi":"10.1016/j.healthplace.2020.102447","title":"Built environment correlates of objectively-measured sedentary behaviours in densely-populated areas","year":2020,"lang":"en","type":"article","venue":"Health & Place","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"National Health and Medical Research Council; Japan Society for the Promotion of Science; Canadian Institutes of Health Research","keywords":"Walkability; Neighbourhood (mathematics); Built environment; Geography; Population; Multilevel model; Demography; Level design; Sedentary behavior; Destinations; Physical activity; Medicine; Environmental health; Physical therapy; Statistics; Ecology; Mathematics","score_opus":0.04253214932951978,"score_gpt":0.3103544204712291,"score_spread":0.2678222711417093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3090511573","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99377495,0.001085485,0.000044788856,0.0040806825,0.00015454221,0.0005116725,0.000040395393,0.00005409957,0.00025338616],"genre_scores_gemma":[0.99902225,0.00012532328,0.00011565745,0.0005173338,0.000049950093,0.000009125618,0.000036348454,0.0000114140985,0.00011259053],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981442,0.00026576908,0.0004448158,0.00032873757,0.0004338846,0.00038260577],"domain_scores_gemma":[0.999259,0.0000747974,0.00020249843,0.00013591792,0.000024981999,0.00030279136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063061406,0.00012409902,0.00030065127,0.000045829114,0.00018866913,0.0000118775015,0.00021108972,0.00010979407,0.00027064403],"category_scores_gemma":[0.000062368,0.00013088757,0.00006422384,0.00030317082,0.0001644153,0.0001417718,0.000020333478,0.0002514646,0.000019269379],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000107759326,0.00013835698,0.98536956,0.00003545785,0.0000065123454,0.000013817382,0.013060908,0.00008920155,0.000026326386,0.00002844713,0.0003315494,0.0007921078],"study_design_scores_gemma":[0.0004808635,0.00009413828,0.9959693,0.00004759881,0.000012924763,3.254749e-7,0.0020590227,0.00006711913,0.00008988533,0.000114234565,0.0009378767,0.00012671281],"about_ca_topic_score_codex":0.057285894,"about_ca_topic_score_gemma":0.03585371,"teacher_disagreement_score":0.021432182,"about_ca_system_score_codex":0.00026455338,"about_ca_system_score_gemma":0.00040210562,"threshold_uncertainty_score":0.98173946},"labels":[],"label_agreement":null},{"id":"W3090991486","doi":"","title":"Factorial Invariance of the Abbreviated Neighborhood Environment Walkability Scale among Senior Women in the Nurses’ Health Study Cohort","year":2019,"lang":"en","type":"article","venue":"PMC","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Walkability; Scale (ratio); Environmental health; Psychology; Gerontology; Medicine; Geography; Cartography; Physical therapy; Physical activity","score_opus":0.01016687434207074,"score_gpt":0.27099546396451424,"score_spread":0.2608285896224435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3090991486","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99492335,0.00003200249,0.000004111846,0.0004260117,0.00062357326,0.0022890782,0.000015519263,0.00001431056,0.001672051],"genre_scores_gemma":[0.9995206,0.000009839604,0.000003840967,0.00005217769,0.000102655635,0.00006258582,0.0000019582167,0.000005361046,0.00024098957],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99752337,0.00081434695,0.00037799907,0.00030709695,0.00060051755,0.00037666163],"domain_scores_gemma":[0.9990288,0.00013731592,0.00018790772,0.00055167056,0.000019491912,0.00007478799],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030904445,0.000108014814,0.0002817316,0.000015548918,0.00019845978,0.000029149343,0.00061835366,0.00005824661,0.00047591398],"category_scores_gemma":[0.00006063196,0.000062959785,0.00007026715,0.00030408602,0.00027126283,0.00016577097,0.00003557109,0.00020646035,0.000014451808],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018216277,0.00051691645,0.9274489,0.000011555544,0.000009161816,1.8562781e-7,0.071613744,0.0000041928665,0.00001721709,0.000032719985,0.000016400112,0.00031077708],"study_design_scores_gemma":[0.00038766215,0.00006585951,0.9863222,0.000011131598,0.0000077274135,1.0802068e-8,0.012142878,0.0000036253996,0.000019112786,0.00053591584,0.0004347415,0.0000691028],"about_ca_topic_score_codex":0.012405624,"about_ca_topic_score_gemma":0.0071093882,"teacher_disagreement_score":0.059470866,"about_ca_system_score_codex":0.00031944475,"about_ca_system_score_gemma":0.0002098592,"threshold_uncertainty_score":0.99417084},"labels":[],"label_agreement":null},{"id":"W3091013407","doi":"10.5539/ep.v9n2p14","title":"Theorizing the Effect of Smog on Public Health in Lahore, Pakistan","year":2020,"lang":"en","type":"article","venue":"Environment and Pollution","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Public health; Human health; Air pollution; Environmental protection; Environmental health; Business; Natural resource economics; Geography; Economics; Medicine","score_opus":0.023949886460140908,"score_gpt":0.28733747207312443,"score_spread":0.26338758561298353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3091013407","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97242224,0.00044711618,0.00008322831,0.0251235,0.000029786175,0.00020426988,0.000006200939,0.000008690862,0.0016749828],"genre_scores_gemma":[0.99935573,0.00017115775,0.000005023132,0.0003717713,0.00005336748,0.0000033847484,0.000003766584,0.0000021004714,0.000033670378],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993053,0.00023409334,0.0001105329,0.000103184946,0.00012220388,0.00012465165],"domain_scores_gemma":[0.99979526,0.00004285446,0.000048750568,0.000055692766,6.83198e-7,0.000056757766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008391049,0.000045492583,0.000083645886,0.000013088002,0.00015559718,0.000012799894,0.00006384268,0.000025673167,0.00007442762],"category_scores_gemma":[0.000016315993,0.000029890634,0.00002306774,0.000078798184,0.00016462982,0.00006479568,0.000008454958,0.00007005828,0.000003552354],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006829625,0.000034709425,0.89859027,0.000022552376,0.000006244869,4.6469037e-7,0.015233306,0.00001589397,0.00018904632,0.01203722,0.000096156764,0.073705845],"study_design_scores_gemma":[0.00033976126,0.0002962392,0.95427525,0.000010706841,0.000004244398,1.3048631e-8,0.000791436,0.000025306728,0.000189197,0.000475248,0.043533117,0.000059484584],"about_ca_topic_score_codex":0.00038169703,"about_ca_topic_score_gemma":0.00017027966,"teacher_disagreement_score":0.07364636,"about_ca_system_score_codex":0.000047222813,"about_ca_system_score_gemma":0.000014158937,"threshold_uncertainty_score":0.12189047},"labels":[],"label_agreement":null},{"id":"W3091016782","doi":"10.24095/hpcdp.28.4.01f","title":"Facteurs de risque de chutes chez les aînés vivant dans la communauté et ayant recours aux services de soutien à domicile : modèle de risques élargi avec covariables dépendantes du temps et événements récurrents","year":2008,"lang":"fr","type":"article","venue":"Maladies chroniques au Canada","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Institut Universitaire de Gériatrie de Montréal; Université de Montréal","funders":"","keywords":"Humanities; Political science; Gynecology; Philosophy; Medicine","score_opus":0.02354689512798513,"score_gpt":0.2654511375323484,"score_spread":0.24190424240436326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3091016782","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9767762,0.004066932,0.0009924714,0.0048398576,0.0006290243,0.0005882991,0.0015996266,0.00022444235,0.010283139],"genre_scores_gemma":[0.9832112,0.010234506,0.0024712551,0.0012002104,0.00034582516,0.000109600405,0.00025239444,0.0000936839,0.0020812822],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9934142,0.0020004604,0.0008974717,0.0007926577,0.0007476449,0.0021475686],"domain_scores_gemma":[0.9971084,0.00081887725,0.00053068827,0.0005948255,0.00024744408,0.0006997473],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0026678417,0.0007906038,0.0009121084,0.00012062224,0.0020841542,0.00028117755,0.0014923326,0.00049631856,0.0010629387],"category_scores_gemma":[0.00017448302,0.0008186152,0.00027323441,0.00040290414,0.0016799871,0.00089089555,0.00026508345,0.0009403962,0.000004367351],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.000075514516,0.00047979807,0.8973774,0.0008060222,0.00030734317,0.0002760751,0.09085216,0.0013946496,0.00034725803,0.002397863,0.005246743,0.00043918838],"study_design_scores_gemma":[0.0014824981,0.00019422987,0.8343497,0.0025646447,0.00040593778,0.000089306806,0.024152061,0.009073433,0.010163834,0.002225004,0.113774076,0.0015252896],"about_ca_topic_score_codex":0.9851571,"about_ca_topic_score_gemma":0.9961147,"teacher_disagreement_score":0.10852733,"about_ca_system_score_codex":0.006591983,"about_ca_system_score_gemma":0.013721148,"threshold_uncertainty_score":0.9998502},"labels":[],"label_agreement":null},{"id":"W3091770529","doi":"10.3390/su12198236","title":"Factors Associated with Travel Behavior of Millennials and Older Adults: A Scoping Review","year":2020,"lang":"en","type":"review","venue":"Sustainability","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":65,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Travel behavior; Perception; Psychology; Qualitative research; Car ownership; Mode choice; Population; Marketing; Applied psychology; Social psychology; Transport engineering; Sociology; Demography; Engineering; Public transport; Business; Social science","score_opus":0.06057389715837825,"score_gpt":0.3854610856080604,"score_spread":0.3248871884496822,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3091770529","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0055439607,0.98594284,0.000005610691,0.00010369235,0.000052914074,0.008010391,0.00015338868,0.000064066255,0.00012315201],"genre_scores_gemma":[0.01068714,0.98875016,0.000006692442,0.000019311461,0.00004198899,0.00030890206,0.00010048809,0.00003243588,0.00005289835],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9958492,0.001149812,0.0011408277,0.0008132475,0.00055487634,0.00049204956],"domain_scores_gemma":[0.9969305,0.0006545947,0.0008708824,0.00042697327,0.0008497712,0.00026732255],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0018163619,0.0004745076,0.0031271635,0.00007000221,0.00031359543,0.00004039361,0.00042901663,0.00039034415,0.00018894544],"category_scores_gemma":[0.0038233658,0.00033142397,0.0005007065,0.00088500365,0.000984161,0.0002093915,0.0000595538,0.00047709656,3.9385526e-7],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009790901,0.00032384784,0.039850205,0.5172954,0.000108547254,0.000016442624,0.0046448754,3.858286e-9,5.656783e-9,0.00006885273,0.00002782595,0.43765417],"study_design_scores_gemma":[0.00063482986,0.00019256846,0.059378717,0.88746387,0.0055676433,3.1261877e-7,0.0061484715,8.48146e-8,7.500707e-7,0.00017290284,0.03912408,0.0013157912],"about_ca_topic_score_codex":0.0011650932,"about_ca_topic_score_gemma":0.0020596609,"teacher_disagreement_score":0.43633837,"about_ca_system_score_codex":0.00071686157,"about_ca_system_score_gemma":0.00431467,"threshold_uncertainty_score":0.99991375},"labels":[],"label_agreement":null},{"id":"W3092249833","doi":"10.1093/eurpub/ckaa165.231","title":"Development of a neighborhood drivability index and its association with transportation behavior","year":2020,"lang":"en","type":"article","venue":"European Journal of Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto; Institute for Clinical Evaluative Sciences; St. Michael's Hospital","funders":"","keywords":"Public transport; Transport engineering; Urban sprawl; Index (typography); Geography; Demography; Exploratory factor analysis; Cycling; Pedestrian; TRIPS architecture; Statistics; Environmental health; Land use; Medicine; Engineering; Mathematics; Computer science; Structural equation modeling; Sociology","score_opus":0.07403229443632196,"score_gpt":0.3102094256781471,"score_spread":0.2361771312418251,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092249833","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9842717,0.00009830738,0.0057793558,0.009231791,0.00005001871,0.00015483849,0.000010776525,0.000013351329,0.00038984307],"genre_scores_gemma":[0.9984957,0.000022249927,0.0011358472,0.00022194839,0.00009972569,6.1376164e-7,0.0000039373504,0.000007785523,0.000012217537],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975189,0.00088500854,0.00069971633,0.00012171865,0.0005630568,0.00021158032],"domain_scores_gemma":[0.99825275,0.000036088153,0.000870134,0.00004315833,0.00036685588,0.00043100872],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007029428,0.00007023982,0.00021313516,0.000047345544,0.00017799501,0.00003121962,0.00015655931,0.000022648193,0.00005456601],"category_scores_gemma":[0.00018551758,0.00005752745,0.00003725862,0.00028633955,0.000042556927,0.00045217815,0.000003976342,0.00019420318,0.0000010757806],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013309448,0.000117168594,0.91387385,0.00004631596,0.000018464925,0.0000062330555,0.05034826,7.182951e-7,0.000048545768,0.000089198395,0.00002773748,0.035410214],"study_design_scores_gemma":[0.0005030311,0.00015644717,0.99103546,0.000020560703,0.0000107615815,2.1756928e-7,0.0021317475,0.0000039986858,0.000029616993,0.000005941843,0.006045967,0.0000562492],"about_ca_topic_score_codex":0.00002503183,"about_ca_topic_score_gemma":0.00037791106,"teacher_disagreement_score":0.077161625,"about_ca_system_score_codex":0.00015108497,"about_ca_system_score_gemma":0.0014568237,"threshold_uncertainty_score":0.25843427},"labels":[],"label_agreement":null},{"id":"W3092362725","doi":"10.3390/su13084093","title":"Sustainability Issues of Micro and Macro-Scale Changes in Daily and Residential Mobility","year":2021,"lang":"en","type":"article","venue":"Sustainability","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Université de Montréal","funders":"Social Sciences and Humanities Research Council of Canada; Fonds de Recherche du Québec-Société et Culture; Fonds National de la Recherche Luxembourg","keywords":"Sustainability; Macro; Scale (ratio); Travel behavior; Micro level; Business; Transport engineering; Sustainable transport; Macro level; Supply and demand; Environmental economics; Natural resource economics; Economics; Engineering; Computer science; Geography; Civil engineering; Economic system; Microeconomics","score_opus":0.00848142779670854,"score_gpt":0.31021572941727543,"score_spread":0.3017343016205669,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092362725","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9850976,0.0019850952,0.000018508146,0.011485523,0.000083900624,0.0008071337,0.00002865051,0.000047956797,0.00044563896],"genre_scores_gemma":[0.99860245,0.00017434458,0.00019008524,0.0000385291,0.000072138704,0.000035638073,0.000008341569,0.000009757621,0.00086869934],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9966985,0.0009766784,0.00051430915,0.0008503508,0.00036461873,0.0005955565],"domain_scores_gemma":[0.9971542,0.00032665336,0.00012195084,0.00059086486,0.0016123346,0.00019403613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003610453,0.00020128376,0.0005050431,0.00009089211,0.0003640951,0.00009338274,0.00021955233,0.00022424836,0.00017822621],"category_scores_gemma":[0.0031850021,0.00021049542,0.00008156787,0.00064098806,0.0023962117,0.00039473517,0.00020968767,0.00030000802,2.3627315e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012051425,0.00036559938,0.9765163,0.0010283759,0.000007761356,0.000026683336,0.01630048,9.745489e-7,0.0002554522,0.0012676225,0.000040402632,0.0040698196],"study_design_scores_gemma":[0.0003912187,0.00003880715,0.85032064,0.00001447052,0.000019660645,5.3227933e-7,0.038445726,0.000003794006,0.0030153138,0.10591679,0.0016563877,0.00017665428],"about_ca_topic_score_codex":0.030756826,"about_ca_topic_score_gemma":0.13888061,"teacher_disagreement_score":0.12619567,"about_ca_system_score_codex":0.0006760606,"about_ca_system_score_gemma":0.0014165477,"threshold_uncertainty_score":0.97569746},"labels":[],"label_agreement":null},{"id":"W3092563166","doi":"10.24908/cpp-apc.v2020i0.13406","title":"Shorter Roads go a Long Way","year":2020,"lang":"en","type":"article","venue":"Canadian Planning and Policy / Aménagement et politique au Canada","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Census; Clearing; Population density; Geography; Kilometer; Population; Transport engineering; Demography; Business; Engineering; Sociology","score_opus":0.02668494100117811,"score_gpt":0.3009337421903499,"score_spread":0.2742488011891718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092563166","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.56276006,0.00020603086,0.000048707294,0.11324735,0.00022889544,0.00032315598,0.00028284537,0.00007222239,0.32283077],"genre_scores_gemma":[0.957792,0.000017675635,0.000017890481,0.039135985,0.0008993485,0.000013462587,0.0000634146,0.000018091654,0.002042122],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99802786,0.0001276552,0.00023964548,0.0003545984,0.00028673373,0.0009635111],"domain_scores_gemma":[0.997774,0.00006402685,0.000058175625,0.00016648868,0.000044952936,0.0018923649],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030747592,0.00019209404,0.0002105253,0.00013053641,0.00055949186,0.0001561574,0.00029301827,0.000094822295,0.00018943613],"category_scores_gemma":[0.00012871332,0.00020936606,0.000043146883,0.00032698255,0.00015833485,0.00022089465,0.000024835428,0.00022877629,0.000005405058],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000087599665,0.0000063936345,0.8165839,0.00007114585,0.000054397005,0.00035188522,0.025694713,0.000034714078,0.0000026069588,0.06264556,0.09305449,0.001491487],"study_design_scores_gemma":[0.00014650299,0.000017984079,0.4025982,0.000036132686,0.000018040371,8.1815415e-7,0.0018593625,0.000023834204,0.000010367649,0.00028257995,0.594737,0.0002691728],"about_ca_topic_score_codex":0.9995633,"about_ca_topic_score_gemma":0.9998695,"teacher_disagreement_score":0.5016825,"about_ca_system_score_codex":0.0010143978,"about_ca_system_score_gemma":0.010132477,"threshold_uncertainty_score":0.99547917},"labels":[],"label_agreement":null},{"id":"W3092640800","doi":"10.1136/bmjopen-2020-039733","title":"Case-comparison study protocol for gauging effects of neighbourhood trends and sickness: examining the perceptions of transit-Induced gentrification in Prince George’s County","year":2020,"lang":"en","type":"article","venue":"BMJ Open","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"JPB Foundation; Harvard University","keywords":"Gentrification; George (robot); Medicine; Neighbourhood (mathematics); Gerontology; Economic growth","score_opus":0.15788935093040893,"score_gpt":0.4529768942245029,"score_spread":0.2950875432940939,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092640800","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82168794,0.0000016544051,0.0003435325,0.00039820743,0.000015396367,0.17690146,0.000006719524,0.000009035755,0.00063606346],"genre_scores_gemma":[0.897236,1.07000965e-7,0.00010759467,0.00001676808,0.000034954053,0.10257973,0.000002147169,0.000005433851,0.000017263063],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99879867,0.00024806347,0.00039598055,0.00022637856,0.00019388269,0.00013705196],"domain_scores_gemma":[0.9992964,0.00021533624,0.0002165585,0.0001608753,0.00006301755,0.00004777831],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013333884,0.00007966509,0.00026048694,0.000033652148,0.00022152912,0.000058365546,0.00031357553,0.00004164444,0.000053654167],"category_scores_gemma":[0.00011596926,0.000060826544,0.000030389254,0.00034850667,0.000078239165,0.00026733047,0.00003945336,0.00008007219,1.9458733e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022427659,0.0004024564,0.87029153,0.0002931604,0.000016023749,0.000006297672,0.11146894,0.000017399328,0.0016120921,0.000118109456,0.000010184718,0.015539545],"study_design_scores_gemma":[0.001887907,0.00023692356,0.96832097,0.00006794257,0.00003972212,3.7844578e-7,0.028322253,0.00040084842,0.00055299816,0.00003071909,0.000049391274,0.00008997319],"about_ca_topic_score_codex":0.0046710917,"about_ca_topic_score_gemma":0.0119758295,"teacher_disagreement_score":0.09802943,"about_ca_system_score_codex":0.000021600928,"about_ca_system_score_gemma":0.00012506869,"threshold_uncertainty_score":0.7061324},"labels":[],"label_agreement":null},{"id":"W3092774733","doi":"10.3390/ijerph17207432","title":"Factors Influencing the Settlement Intentions of Chinese Migrants in Cities: An Analysis of Air Quality and Higher Income Opportunity as Predictors","year":2020,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"National Office for Philosophy and Social Sciences","keywords":"Settlement (finance); Endogeneity; Demographic economics; Urbanization; China; Air quality index; Household income; Quality (philosophy); Geography; Agriculture; Socioeconomics; Business; Economics; Economic growth; Econometrics; Finance","score_opus":0.17119857861773186,"score_gpt":0.45005414385873027,"score_spread":0.2788555652409984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092774733","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9892056,0.00017075196,0.000013487983,0.010058261,0.00004558965,0.00010448584,0.0002613379,0.0000017244438,0.00013878495],"genre_scores_gemma":[0.99921495,0.00046402172,0.000010916178,0.00022700416,0.000044741333,0.0000012624216,0.000022985101,0.0000026284258,0.00001146875],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970457,0.0006044681,0.00065718946,0.00011957188,0.0013802248,0.00019283868],"domain_scores_gemma":[0.9986898,0.0003018227,0.00034098764,0.00007442999,0.00011848818,0.00047452067],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003879723,0.00006425551,0.0002415317,0.00032538496,0.00013628585,0.000036951325,0.00036512184,0.00003466677,0.00039905185],"category_scores_gemma":[0.0004597509,0.000042738626,0.00007279692,0.00038027402,0.0006614343,0.00049981865,0.00007899859,0.00027384906,9.267738e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000442126,0.0002329064,0.98028356,0.000013877196,0.00016617261,0.0000016646173,0.017624844,0.0000038363496,0.000094675015,0.00029671128,0.000003967909,0.0012335931],"study_design_scores_gemma":[0.00022541071,0.0002039545,0.97730374,0.000015655844,0.0000072512444,1.2817613e-7,0.021316215,0.000017208262,0.000007420441,0.00064423686,0.00022854155,0.000030239746],"about_ca_topic_score_codex":0.0074504614,"about_ca_topic_score_gemma":0.0048827403,"teacher_disagreement_score":0.010009396,"about_ca_system_score_codex":0.00020275271,"about_ca_system_score_gemma":0.00044801913,"threshold_uncertainty_score":0.99915904},"labels":[],"label_agreement":null},{"id":"W3093452106","doi":"10.1177/2399808320964469","title":"The impact of bike network indicators on bike kilometers traveled and bike safety: A network theory approach","year":2020,"lang":"en","type":"article","venue":"Environment and Planning B Urban Analytics and City Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Assortativity; Centrality; Crash; Transport engineering; Poison control; Computer science; Engineering; Complex network; Statistics","score_opus":0.024691010050192187,"score_gpt":0.26295996737264543,"score_spread":0.23826895732245323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3093452106","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947249,0.001241346,0.0009895003,0.000282008,0.0000493306,0.00020926286,0.000013106426,0.000015530473,0.0024749686],"genre_scores_gemma":[0.99876684,0.00059830106,0.00019042786,0.00013699956,0.00017105624,0.000001964677,0.000004092098,0.0000059597724,0.00012435505],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99825764,0.00011309713,0.0002605751,0.00044671845,0.00045332534,0.00046867476],"domain_scores_gemma":[0.99898225,0.00030854493,0.00017418196,0.00016386433,0.000008840821,0.0003623136],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0022642973,0.00017151688,0.00025050115,0.00006414557,0.0014959198,0.00018622242,0.0003154732,0.00007160202,0.00002475471],"category_scores_gemma":[0.00007701427,0.000114392424,0.00006802769,0.0006901318,0.002684237,0.000161692,0.00007466613,0.0002107406,5.551829e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010733275,0.00002668213,0.9871502,0.0000069779276,0.00003819877,0.0000016338714,0.006054535,0.0017273424,0.00001823989,0.0019663225,0.00029025174,0.0026123165],"study_design_scores_gemma":[0.00024209663,0.00020620985,0.98892546,0.000024240593,0.000051906536,2.4958032e-7,0.0014058278,0.005785919,0.000007167354,0.0013547537,0.0017917264,0.00020444424],"about_ca_topic_score_codex":0.00010594954,"about_ca_topic_score_gemma":0.000007610845,"teacher_disagreement_score":0.0046487073,"about_ca_system_score_codex":0.000038628375,"about_ca_system_score_gemma":0.000079702164,"threshold_uncertainty_score":0.999804},"labels":[],"label_agreement":null},{"id":"W3093758755","doi":"10.1139/geomat-2020-0009","title":"Estimer des flux de navetteurs avec un modèle gravitaire : application géomatique en région Provence-Alpes-Côte d’Azur (France)1","year":2020,"lang":"fr","type":"article","venue":"GEOMATICA","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Physics; Art","score_opus":0.024444540646704052,"score_gpt":0.27840937818998496,"score_spread":0.2539648375432809,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3093758755","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89059305,0.0016964287,0.06386404,0.03953207,0.00023314355,0.0011697579,0.00004949855,0.0002705511,0.0025914768],"genre_scores_gemma":[0.97880954,0.00007485349,0.016660023,0.0009867526,0.00057679607,0.00017418838,0.000054554628,0.00004220694,0.002621096],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9968978,0.00040837802,0.0006584151,0.0006755548,0.00053548376,0.0008243531],"domain_scores_gemma":[0.99849534,0.00018869051,0.00027641605,0.0004049364,0.00014253765,0.00049209996],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007850729,0.00036302235,0.0004563372,0.000040971663,0.00065943704,0.00013969887,0.000708319,0.00036621347,0.00076632947],"category_scores_gemma":[0.0002263053,0.00037401193,0.00022382975,0.00091198116,0.001034949,0.0007621013,0.00006673587,0.0003976031,0.00061724195],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008502414,0.00090995786,0.33017844,0.0024421192,0.00021742041,0.0000799708,0.14123192,0.00049876684,0.008940876,0.036370207,0.00310298,0.4759423],"study_design_scores_gemma":[0.0013291168,0.0004578416,0.4393281,0.0008049526,0.00067461055,0.000013129062,0.0036508664,0.07947514,0.01017111,0.421381,0.040934227,0.0017799113],"about_ca_topic_score_codex":0.00132384,"about_ca_topic_score_gemma":0.00032838582,"teacher_disagreement_score":0.4741624,"about_ca_system_score_codex":0.00018276037,"about_ca_system_score_gemma":0.00036785184,"threshold_uncertainty_score":0.9998712},"labels":[],"label_agreement":null},{"id":"W3094072952","doi":"10.1080/23249935.2020.1840655","title":"Walking duration in daily travel: an analysis among males and females using a hazard-based model","year":2020,"lang":"en","type":"article","venue":"Transportmetrica A Transport Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Duration (music); Demography; Hazard model; Hazard; Hazard ratio; Proportional hazards model; Poison control; Injury prevention; TRIPS architecture; Travel behavior; Psychology; Geography; Medicine; Environmental health; Demographic economics; Transport engineering; Statistics; Confidence interval; Economics; Engineering; Mathematics; Sociology","score_opus":0.07599467394013346,"score_gpt":0.3239740728764246,"score_spread":0.24797939893629115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3094072952","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9048453,0.00012463782,0.093443274,0.00042523915,0.00003904217,0.000488304,0.000058171754,0.0001489204,0.00042711286],"genre_scores_gemma":[0.9924797,0.00005172707,0.007083547,0.00023304344,0.000048395363,0.000015903335,0.000049976825,0.000023694794,0.000014036638],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.995287,0.00009704807,0.0009313577,0.0013413051,0.0014596513,0.00088364776],"domain_scores_gemma":[0.99831384,0.00007444633,0.00023577419,0.00035455686,0.00019198719,0.0008294144],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0021675327,0.0003457408,0.0006756858,0.0014617193,0.00090293697,0.00016997449,0.0008597938,0.00018675043,0.000086819986],"category_scores_gemma":[0.00006303685,0.00035228752,0.00024848228,0.014045876,0.0022063742,0.0025832541,0.0000061870082,0.00032223208,9.38443e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007900575,0.00014535007,0.95866287,0.000044222284,0.000020334657,0.00005356907,0.013228301,0.025235448,0.0016743296,0.00044051008,1.6158927e-7,0.0004158727],"study_design_scores_gemma":[0.00042176052,0.000041250056,0.7576205,0.000019316116,0.00030684666,1.1493092e-7,0.0011612988,0.23954089,0.00043568196,0.00009081465,0.000010256476,0.00035127086],"about_ca_topic_score_codex":0.0039853184,"about_ca_topic_score_gemma":0.045803897,"teacher_disagreement_score":0.21430543,"about_ca_system_score_codex":0.00015904836,"about_ca_system_score_gemma":0.0010162963,"threshold_uncertainty_score":0.9998929},"labels":[],"label_agreement":null},{"id":"W309430217","doi":"","title":"Weather or Not to Walk: The Effect of Weather and Temporal Trends During Temperate and Winter on Sidewalk Pedestrian Volumes in Montreal, Canada","year":2012,"lang":"en","type":"article","venue":"Transportation Research Board 91st Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Precipitation; Environmental science; Temperate climate; Pedestrian; Geography; Morning; Climatology; Meteorology; Medicine; Ecology","score_opus":0.03860598780502542,"score_gpt":0.3721654118484054,"score_spread":0.33355942404337996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W309430217","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99298763,0.00021234376,0.0000035162902,0.0037118169,0.00011882859,0.0014968856,0.00027182442,0.00004650709,0.0011506202],"genre_scores_gemma":[0.99453074,0.00017437544,0.00005051991,0.000059587157,0.00020300953,0.00025786905,0.00005397733,0.000053991807,0.004615912],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9917746,0.0018570975,0.00094640837,0.00077529997,0.0030419913,0.0016046136],"domain_scores_gemma":[0.99629235,0.0017022799,0.00014704638,0.00041309194,0.00067880267,0.00076644885],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00820694,0.00037155498,0.0005885404,0.0008473049,0.0011283332,0.00015655792,0.00051638525,0.00023564967,0.00046804798],"category_scores_gemma":[0.00045521779,0.00026675232,0.00011056131,0.0020067738,0.0011057219,0.0007398725,0.000015157226,0.0010833284,0.000008414688],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0038872845,0.00011481896,0.9545276,0.00026316656,0.00004645587,0.000048921236,0.035930958,0.00003448499,0.00059038744,0.00011282871,0.000734026,0.0037090685],"study_design_scores_gemma":[0.0014900166,0.0005785917,0.9759224,0.0002391951,0.0000271606,1.3104629e-7,0.016113423,0.000009453428,0.0021256118,0.00003118601,0.0031812054,0.00028159327],"about_ca_topic_score_codex":0.8696462,"about_ca_topic_score_gemma":0.9884106,"teacher_disagreement_score":0.118764386,"about_ca_system_score_codex":0.00025301627,"about_ca_system_score_gemma":0.0005627043,"threshold_uncertainty_score":0.9999785},"labels":[],"label_agreement":null},{"id":"W3094460594","doi":"10.18757/ejtir.2020.20.4.5307","title":"Bike-sharing: the good, the bad, and the future","year":2020,"lang":"en","type":"article","venue":"European journal of transport and infrastructure research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Bike sharing; Quality (philosophy); Renting; Sharing economy; Dilemma; Business; Information sharing; Internet privacy; Computer science; Computer security; Environmental economics; Marketing; Transport engineering; World Wide Web; Engineering; Political science; Economics; Law","score_opus":0.03885267873522785,"score_gpt":0.3178898819934536,"score_spread":0.27903720325822573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3094460594","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8691856,0.0059722196,0.00014064668,0.10546278,0.00027415538,0.0003709603,0.000008304879,0.000013874331,0.018571455],"genre_scores_gemma":[0.9946746,0.002080948,0.00004958634,0.0007207647,0.0023038527,8.5156665e-7,0.000001091869,0.000014667462,0.00015363864],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971211,0.001029519,0.00041438497,0.00019796596,0.0008937241,0.00034329426],"domain_scores_gemma":[0.9988952,0.00024859913,0.00014937202,0.00020845488,0.0002500955,0.00024825268],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0077001736,0.00012725759,0.00021318122,0.00004121192,0.0015358772,0.00023549554,0.0011973552,0.000042342668,0.00020882733],"category_scores_gemma":[0.0001001123,0.000049634735,0.00012989099,0.0004749609,0.0023565972,0.00026292203,0.000056687008,0.001504848,0.000002586339],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013021441,0.000026817055,0.7967016,0.000077203396,0.00019548065,0.00023015898,0.116083615,0.00002621468,0.00012331642,0.020734783,0.0080090575,0.056489598],"study_design_scores_gemma":[0.0008038148,0.00008073237,0.6467886,0.0000204564,0.00004089482,0.000009269502,0.008946887,0.000013441806,0.000009292053,0.0021979164,0.34101778,0.00007091927],"about_ca_topic_score_codex":0.000055716304,"about_ca_topic_score_gemma":0.00013255054,"teacher_disagreement_score":0.3330087,"about_ca_system_score_codex":0.000012085704,"about_ca_system_score_gemma":0.0001426544,"threshold_uncertainty_score":0.99976397},"labels":[],"label_agreement":null},{"id":"W3095466386","doi":"10.1016/j.healthplace.2020.102462","title":"Moving to policy-amenable options for built environment research: The role of micro-scale neighborhood environment in promoting walking","year":2020,"lang":"en","type":"article","venue":"Health & Place","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":46,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Fonds de Recherche du Québec - Santé","keywords":"Respondent; Scale (ratio); Odds; Pedestrian; Level design; Audit; Built environment; Applied psychology; Psychology; Logistic regression; Computer science; Geography; Business; Transport engineering; Engineering; Cartography; Human–computer interaction; Machine learning","score_opus":0.06600292832242297,"score_gpt":0.3618460124579187,"score_spread":0.29584308413549576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3095466386","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8761777,0.0014863936,0.0010393839,0.116885796,0.000036158992,0.0027723445,0.00004441804,0.00003194323,0.0015258153],"genre_scores_gemma":[0.9957162,0.00019863885,0.0027029407,0.0007938939,0.00022803024,0.00015461828,0.0000055315577,0.00001382447,0.00018631085],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977765,0.00034621198,0.0003945141,0.0003513695,0.00044251303,0.00068888697],"domain_scores_gemma":[0.9990608,0.0003044188,0.000115390685,0.00021704027,0.000016687143,0.0002856387],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030106863,0.000093856106,0.00019382309,0.000085095446,0.00074610766,0.000037719823,0.00036893203,0.00005629259,0.000082657],"category_scores_gemma":[0.00017897873,0.00008196164,0.000052082803,0.0004204186,0.00014791412,0.00012291758,0.000096803495,0.00024175736,0.00001631225],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026183695,0.00090770243,0.30778003,0.00062159187,0.000028717872,0.000002768836,0.5834271,0.0028482096,0.025895573,0.0075024883,0.0009357317,0.0697883],"study_design_scores_gemma":[0.001953915,0.001221353,0.14600046,0.00046988417,0.000027818134,5.3947207e-7,0.14004564,0.0052372916,0.0150491325,0.016700588,0.6725037,0.0007896921],"about_ca_topic_score_codex":0.00850918,"about_ca_topic_score_gemma":0.0022650193,"teacher_disagreement_score":0.671568,"about_ca_system_score_codex":0.000517184,"about_ca_system_score_gemma":0.00045956468,"threshold_uncertainty_score":0.99809325},"labels":[],"label_agreement":null},{"id":"W3095747059","doi":"10.1155/2020/8894119","title":"Layout Optimization of Campus Bike-Sharing Parking Spots","year":2020,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities","keywords":"Bike sharing; Transport engineering; Parking lot; Computer science; University campus; Parking guidance and information; Operations research; Engineering; Civil engineering","score_opus":0.023076601195862103,"score_gpt":0.29497727205724,"score_spread":0.2719006708613779,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3095747059","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9709801,0.00020567708,0.027613008,0.00049581425,0.00026495755,0.00011291315,0.00000898581,0.00001993308,0.00029862794],"genre_scores_gemma":[0.98982733,0.000119650664,0.0097516645,0.00006314525,0.00020088904,8.2616623e-7,0.000015198671,0.000009175036,0.000012089943],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99868906,0.000027305314,0.0006230434,0.0001261731,0.00039817597,0.00013627032],"domain_scores_gemma":[0.99879414,0.000036614605,0.0006874607,0.000057855334,0.00030020345,0.0001237329],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030410851,0.0000800382,0.00022520979,0.00006350617,0.00010411952,0.000017264629,0.0001877251,0.000059367074,0.0000915092],"category_scores_gemma":[0.00006844328,0.0000772903,0.00012357224,0.000363585,0.00006801915,0.00087174756,0.0000011527301,0.00014213422,5.304008e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029591625,0.00006649349,0.34860376,0.00008603306,0.00003268285,0.0000231219,0.04276967,0.59990436,0.0017386125,0.0003268833,0.00000827002,0.0061442265],"study_design_scores_gemma":[0.0020815267,0.00023571764,0.97741395,0.00027635493,0.00021424114,6.3910176e-7,0.010589888,0.0012458283,0.0033993078,0.0011686767,0.0030585073,0.00031533992],"about_ca_topic_score_codex":0.000051050578,"about_ca_topic_score_gemma":0.00020319704,"teacher_disagreement_score":0.6288102,"about_ca_system_score_codex":0.000032500662,"about_ca_system_score_gemma":0.00010856517,"threshold_uncertainty_score":0.3151807},"labels":[],"label_agreement":null},{"id":"W3096053722","doi":"10.5198/jtlu.2020.1615","title":"Analysis of the effect of multi-level urban form on bikeshare demand: Evidence from seven large metropolitan areas in the United States","year":2020,"lang":"en","type":"article","venue":"Journal of Transport and Land Use","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of North Carolina at Chapel Hill; Centre interuniversitaire de recherche sur les reseaux d'entreprise, la logistique et le transport","keywords":"Metropolitan area; TRIPS architecture; Geography; Built environment; Transport engineering; Land use; Regional science; Pedestrian; Transit-oriented development; Business; Economic geography; Public transport; Engineering; Civil engineering","score_opus":0.05704051189374733,"score_gpt":0.31540159854559224,"score_spread":0.25836108665184493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3096053722","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981341,0.0004346598,0.00011674828,0.0006958616,0.000031324795,0.00014658333,0.00042626387,0.0000029542828,0.000011506204],"genre_scores_gemma":[0.9995389,0.00021223594,0.000025324389,0.00013241066,0.00004278957,9.926791e-7,0.000034134613,0.000004105244,0.000009129097],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985848,0.00023432168,0.00047241367,0.00011458194,0.0004421748,0.00015170441],"domain_scores_gemma":[0.9987715,0.0005804403,0.00033869487,0.00012775858,0.00009212194,0.00008948733],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010726455,0.00010603627,0.0004337162,0.00014350346,0.00010541854,0.000020970905,0.0003686987,0.00006320688,0.00006008893],"category_scores_gemma":[0.00013647844,0.000050268238,0.000288709,0.0010243141,0.00011116831,0.00026502577,0.0000053853973,0.00021671323,8.5443354e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035022557,0.000065770844,0.9779551,0.00003452967,0.00023402415,0.000011262165,0.021140285,0.000093500326,0.000017301245,0.000009480277,0.00003049899,0.000058027894],"study_design_scores_gemma":[0.0007274151,0.00017949044,0.99503446,0.00015130857,0.00092849304,8.8969e-8,0.0020965121,0.000316716,0.00016972685,0.000023301935,0.00031180208,0.000060670256],"about_ca_topic_score_codex":0.009187407,"about_ca_topic_score_gemma":0.027287556,"teacher_disagreement_score":0.019043773,"about_ca_system_score_codex":0.000024796042,"about_ca_system_score_gemma":0.00004723225,"threshold_uncertainty_score":0.9974105},"labels":[],"label_agreement":null},{"id":"W3096367122","doi":"10.1080/19439962.2020.1838679","title":"Macro-level collision prediction using geographically weighted negative binomial regression","year":2020,"lang":"en","type":"article","venue":"Journal of Transportation Safety & Security","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Negative binomial distribution; Statistics; Poisson regression; Poisson distribution; Bandwidth (computing); Regression analysis; Goodness of fit; Computer science; Count data; Mathematics; Regression; Range (aeronautics); Residual; Econometrics; Algorithm; Engineering; Population; Telecommunications","score_opus":0.036488969930246355,"score_gpt":0.3050321364104242,"score_spread":0.26854316648017784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3096367122","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98369384,0.0001443573,0.011820667,0.0028679792,0.00053640676,0.00029616748,0.00038416203,0.000049427388,0.00020697842],"genre_scores_gemma":[0.99626774,0.00029824887,0.002483644,0.00020839996,0.0006551529,0.0000011288004,0.000062947554,0.000013992354,0.000008776663],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99702543,0.00025695475,0.0011630496,0.00026992479,0.0010167143,0.00026794855],"domain_scores_gemma":[0.99771845,0.00012665137,0.00089582213,0.00010135417,0.0007535282,0.00040421702],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009767931,0.00018634411,0.0004089906,0.00012907463,0.0005853864,0.000060495753,0.00030265062,0.00023821268,0.0002828334],"category_scores_gemma":[0.00009562124,0.00015809598,0.00036130604,0.00086532714,0.00025921594,0.0011575043,0.000004280074,0.00052495184,0.0000021021312],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0054683713,0.00051980256,0.90158266,0.00014102098,0.00020189208,0.00014588612,0.081475385,0.0005864782,0.0048595825,0.0016718055,0.00063953904,0.0027075585],"study_design_scores_gemma":[0.0027047563,0.00027398329,0.97693306,0.00020855918,0.0003019312,0.0000018283456,0.0032781013,0.0010167818,0.0018751671,0.0041011246,0.009000834,0.0003038579],"about_ca_topic_score_codex":0.00051451474,"about_ca_topic_score_gemma":0.0011700285,"teacher_disagreement_score":0.078197286,"about_ca_system_score_codex":0.0001226979,"about_ca_system_score_gemma":0.00047019613,"threshold_uncertainty_score":0.6446967},"labels":[],"label_agreement":null},{"id":"W3096520219","doi":"10.3390/su12219068","title":"Gender-Responsive Public Transportation in the Dammam Metropolitan Region, Saudi Arabia","year":2020,"lang":"en","type":"article","venue":"Sustainability","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Ministero dell’Istruzione, dell’Università e della Ricerca","keywords":"Taxis; Metropolitan area; Public transport; Business; Sustainability; Sustainable transport; Service (business); Transport engineering; Marketing; Geography; Engineering","score_opus":0.05207761091746488,"score_gpt":0.32337507256061826,"score_spread":0.2712974616431534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3096520219","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9062414,0.00014608608,0.00072553015,0.08744488,0.00007016861,0.00096034235,0.000012191724,0.000104037164,0.004295335],"genre_scores_gemma":[0.9984217,0.000010443782,0.00003710258,0.0011876003,0.00017305258,0.00005753852,0.0000245248,0.0000091766115,0.00007884295],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9966423,0.0012699723,0.00043099732,0.00051231554,0.0005626197,0.00058180507],"domain_scores_gemma":[0.99824274,0.00035645193,0.000111808426,0.00039088927,0.00068500533,0.00021309002],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022551203,0.00015802289,0.00023042483,0.00007031514,0.0005879428,0.00011825768,0.00064175174,0.00013398807,0.0001386897],"category_scores_gemma":[0.0033372336,0.00012510287,0.00015657333,0.0014386825,0.0007704391,0.0006067185,0.000009616956,0.0004016314,0.000005019913],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009352664,0.00012823705,0.83855504,0.00008867752,0.000007422927,0.000045505,0.059613883,0.0000035100948,0.0000025448985,0.09971256,0.00069528236,0.0010537923],"study_design_scores_gemma":[0.00022266307,0.00003607995,0.7762954,0.0000016623334,0.000015387306,8.648234e-8,0.10986019,0.0000070775686,0.000007644536,0.093348205,0.020070832,0.00013475698],"about_ca_topic_score_codex":0.0071154567,"about_ca_topic_score_gemma":0.018764226,"teacher_disagreement_score":0.09218029,"about_ca_system_score_codex":0.0010369648,"about_ca_system_score_gemma":0.0015023025,"threshold_uncertainty_score":0.9994962},"labels":[],"label_agreement":null},{"id":"W3097127585","doi":"10.1155/2020/8870449","title":"Measuring the Spatial Spillover Effects of Multimodel Transit System in Beijing: A Structural Spatial Vector Autoregressive Approach","year":2020,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Beijing; Spillover effect; Autoregressive model; Spatial correlation; Traffic flow (computer networking); Public transport; Econometrics; Transit (satellite); Spatial ecology; Transport engineering; Computer science; Geography; Mathematics; Engineering; Economics; Telecommunications","score_opus":0.018031848679957666,"score_gpt":0.2574191179941356,"score_spread":0.23938726931417792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3097127585","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9663104,0.00026469165,0.03223879,0.00020727956,0.0004056789,0.000462456,0.0000126298555,0.00001912051,0.00007895397],"genre_scores_gemma":[0.99804497,0.000012590873,0.0015755016,0.000021664457,0.00031581504,0.0000056564695,0.000008031343,0.000013568584,0.0000021963558],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99799496,0.0001343851,0.0007518376,0.00019017093,0.0007116203,0.00021700872],"domain_scores_gemma":[0.9987927,0.00011047783,0.00065593293,0.000087314605,0.00023015645,0.00012341418],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032263016,0.00015378266,0.00040735048,0.00006900896,0.00013458777,0.000021023265,0.00028914795,0.0000931595,0.0000078343755],"category_scores_gemma":[0.00006811732,0.00011133404,0.00021420045,0.0002502833,0.00013877745,0.0005759733,0.000001519266,0.00032345584,2.5874922e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0034903164,0.0002462897,0.4137125,0.0022471475,0.00021240221,0.00019064597,0.28329682,0.25431547,0.021068724,0.0011064997,0.0000043633418,0.020108826],"study_design_scores_gemma":[0.0023368197,0.00017044695,0.98513836,0.00029287444,0.00013624046,7.20577e-7,0.0048791817,0.0038672728,0.0029284223,0.00006075297,0.000028657587,0.00016026665],"about_ca_topic_score_codex":0.0009016148,"about_ca_topic_score_gemma":0.0030783305,"teacher_disagreement_score":0.57142586,"about_ca_system_score_codex":0.00010625051,"about_ca_system_score_gemma":0.00018635535,"threshold_uncertainty_score":0.45400703},"labels":[],"label_agreement":null},{"id":"W3097924835","doi":"10.1016/j.healthplace.2020.102453","title":"A systematic review of the evolution of GPS use in active living research: A state of the evidence for research, policy, and practice","year":2020,"lang":"en","type":"review","venue":"Health & Place","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; University of Regina; University of Saskatchewan","funders":"Saskatchewan Health Research Foundation","keywords":"Global Positioning System; Active living; Inclusion (mineral); Systematic review; Physical activity; Peer review; Psychology; Applied psychology; MEDLINE; Medicine; Computer science; Social psychology; Political science; Physical medicine and rehabilitation","score_opus":0.5694269052189102,"score_gpt":0.6021583841498764,"score_spread":0.032731478930966285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3097924835","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00008798964,0.98462987,0.000009231904,0.0044567655,0.000044979643,0.01055969,0.00010467707,0.000004395619,0.00010241129],"genre_scores_gemma":[0.0021405017,0.99720937,0.00006262612,0.000079171106,0.000043732183,0.00026184044,8.24728e-7,0.000012663172,0.00018926019],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.97502863,0.021083353,0.0014653135,0.00037300796,0.0015483808,0.0005012963],"domain_scores_gemma":[0.94801724,0.047999006,0.0020372865,0.00064712507,0.001166875,0.00013245958],"candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.04575416,0.00013819087,0.0015497444,0.00017556993,0.00038802542,0.000026768535,0.0008656075,0.000103304425,0.00000260218],"category_scores_gemma":[0.19144648,0.00007829745,0.00023277171,0.003180772,0.00082740356,0.0004244766,0.00020836802,0.0008261037,5.589479e-7],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035034478,0.000048490423,0.00010288055,0.98471045,0.000024909566,2.8051647e-7,0.008419318,9.1781054e-8,1.3212009e-7,0.0010137152,0.00020885053,0.0054358277],"study_design_scores_gemma":[0.00004154817,0.00007398369,0.0004887512,0.9639945,0.00013386675,8.957165e-7,0.0021269498,0.000003059518,2.1941807e-7,0.0002154236,0.03286154,0.000059238042],"about_ca_topic_score_codex":0.06311625,"about_ca_topic_score_gemma":0.029749436,"teacher_disagreement_score":0.14569233,"about_ca_system_score_codex":0.0017641088,"about_ca_system_score_gemma":0.02031617,"threshold_uncertainty_score":0.9879551},"labels":[],"label_agreement":null},{"id":"W3098213188","doi":"10.15353/cfs-rcea.v7i2.365","title":"Spatial analysis of population at risk of food insecurity using the voices from a Photovoice study","year":2020,"lang":"en","type":"article","venue":"Canadian Food Studies / La Revue canadienne des études sur l alimentation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Mount Saint Vincent University; Dalhousie University","funders":"","keywords":"Photovoice; Food insecurity; Geography; Population; Food security; Quality (philosophy); Environmental planning; Environmental health; Economic growth; Agriculture; Medicine; Economics","score_opus":0.07419787983186682,"score_gpt":0.29730770973667825,"score_spread":0.22310982990481143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3098213188","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99695426,0.0008361867,0.000015181071,0.00018243444,0.00011428309,0.000652092,0.0011349638,0.000015879505,0.0000946891],"genre_scores_gemma":[0.9995594,0.000061219354,0.000057656987,0.00007282236,0.00007962003,0.000023164943,0.00012802654,0.0000128558895,0.0000052130767],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979589,0.000522963,0.0005561065,0.00038786462,0.00022060357,0.00035356378],"domain_scores_gemma":[0.99818856,0.00037811077,0.00051098404,0.00023534415,0.0003619128,0.00032511278],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066588534,0.00017883067,0.0005173416,0.000208286,0.0007657232,0.00003352139,0.00029845154,0.00006355292,0.000057610567],"category_scores_gemma":[0.00036571582,0.00016612752,0.00018419331,0.001447629,0.00036233757,0.0002489703,0.000036439695,0.000108400425,3.0933683e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004118681,0.00004362882,0.82254255,0.00004163329,0.0031759038,0.000003682821,0.17313927,0.00041536553,0.00014972764,0.0001588347,0.0000045387537,0.0002836949],"study_design_scores_gemma":[0.00036933963,0.0002928106,0.9219752,0.000027384927,0.003203327,6.4116065e-8,0.072803386,0.00057460845,0.00021188667,0.00021073718,0.00015484945,0.00017642658],"about_ca_topic_score_codex":0.9676573,"about_ca_topic_score_gemma":0.9998041,"teacher_disagreement_score":0.10033589,"about_ca_system_score_codex":0.00096245477,"about_ca_system_score_gemma":0.00019992479,"threshold_uncertainty_score":0.67744833},"labels":[],"label_agreement":null},{"id":"W3098667015","doi":"10.32866/001c.17977","title":"Changes in Trip-making Frequency by Mode during COVID-19","year":2020,"lang":"en","type":"article","venue":"Findings","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Mode (computer interface); Exploratory analysis; 2019-20 coronavirus outbreak; Sample (material); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Exploratory research; Geography; Computer science; Medicine; Sociology; Data science; Virology; Outbreak; Physics","score_opus":0.0470860131624572,"score_gpt":0.3358675141795054,"score_spread":0.2887815010170482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3098667015","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9814955,0.0001279869,0.00008478795,0.013676587,0.00007814912,0.00017205303,0.00003852152,0.0001180618,0.0042083543],"genre_scores_gemma":[0.9979366,0.000021410722,0.00008309381,0.0015284511,0.000151071,0.000012848363,0.00001098268,0.000008215326,0.0002473141],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989604,0.000045364784,0.00015545053,0.00028572083,0.00023165386,0.000321447],"domain_scores_gemma":[0.99962366,0.000044753007,0.000049968436,0.00007455958,0.000012066777,0.00019500831],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025630728,0.00008724627,0.00014418029,0.000048915892,0.0003351268,0.000058377587,0.000280034,0.00009084598,0.00074036384],"category_scores_gemma":[0.0003050407,0.000091905145,0.000038652626,0.00044672022,0.00009594173,0.00023941342,0.00001992177,0.0001557079,0.000018943334],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001745144,0.00002099867,0.94819117,0.00005916887,0.0000034411953,0.000020497091,0.045969374,0.0000032064142,0.0039615384,0.0006600155,0.00095183623,0.00014128456],"study_design_scores_gemma":[0.004036337,0.00015537486,0.770712,0.00023246488,0.00006227846,8.5922153e-7,0.01916919,0.00024843932,0.011610718,0.01792686,0.17390488,0.0019405854],"about_ca_topic_score_codex":0.0035911107,"about_ca_topic_score_gemma":0.011738632,"teacher_disagreement_score":0.17747918,"about_ca_system_score_codex":0.00017303858,"about_ca_system_score_gemma":0.000112298454,"threshold_uncertainty_score":0.81064653},"labels":[],"label_agreement":null},{"id":"W3099836736","doi":"10.1186/s12966-020-01055-x","title":"Workplace neighbourhood built environment and workers’ physically-active and sedentary behaviour: a systematic review of observational studies","year":2020,"lang":"en","type":"review","venue":"International Journal of Behavioral Nutrition and Physical Activity","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"National Health and Medical Research Council; Japan Society for the Promotion of Science; Canadian Institutes of Health Research; Medical Research Council; State Government of Victoria","keywords":"Walkability; Neighbourhood (mathematics); Observational study; Recreation; Built environment; CINAHL; PsycINFO; Cochrane Library; Level design; Psychology; Applied psychology; Environmental health; Gerontology; Medicine; MEDLINE; Psychological intervention; Meta-analysis; Engineering; Nursing; Computer science; Political science","score_opus":0.13079298892856395,"score_gpt":0.429504220252984,"score_spread":0.29871123132442007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3099836736","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0892386,0.9085088,0.000015788197,0.000978247,0.00015070774,0.0008551323,0.00023311639,0.000007745276,0.000011884967],"genre_scores_gemma":[0.13955778,0.8598938,0.000083538085,0.00004526806,0.00032935833,0.00004209877,0.000024689407,0.000011281343,0.000012196247],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9977536,0.00038288702,0.0006433898,0.00027403282,0.000816786,0.00012930912],"domain_scores_gemma":[0.9977755,0.00042595228,0.0012578684,0.00008588469,0.000275301,0.00017949555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029633078,0.0002701629,0.0018528916,0.000078080106,0.00010780752,0.000062924984,0.00025623612,0.00010122935,0.000022052278],"category_scores_gemma":[0.00006885086,0.00021423958,0.00041196638,0.0001279528,0.00042380567,0.00056867755,0.00009646319,0.0004452348,7.404255e-7],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028404317,0.00658675,0.0061461222,0.538527,0.0018684709,0.00015026401,0.0043919366,1.1609339e-7,0.000028312781,0.00039007608,0.00024508624,0.44138178],"study_design_scores_gemma":[0.0017726257,0.0006397956,0.014739783,0.9463803,0.012122832,0.00006958763,0.0024461197,0.00000613722,0.000037847676,0.0015051194,0.019313106,0.00096670847],"about_ca_topic_score_codex":0.000106541396,"about_ca_topic_score_gemma":0.000019274421,"teacher_disagreement_score":0.44041508,"about_ca_system_score_codex":0.00019780517,"about_ca_system_score_gemma":0.00014401745,"threshold_uncertainty_score":0.8736437},"labels":[],"label_agreement":null},{"id":"W3100161724","doi":"10.1371/journal.pone.0242476","title":"The impacts of COVID-19 pandemic on public transit demand in the United States","year":2020,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":307,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Société de Transport de Montréal","funders":"","keywords":"Pandemic; Public transport; Coronavirus disease 2019 (COVID-19); Transit (satellite); Geography; Demographic economics; Supply and demand; Logistic regression; Demography; Business; Economics; Medicine; Statistics; Transport engineering; Engineering; Mathematics","score_opus":0.1625240801901562,"score_gpt":0.3237231591393305,"score_spread":0.16119907894917426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3100161724","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95018864,0.00014024797,0.00002378781,0.048698872,0.0000076207602,0.0002754403,0.000016613993,0.000033255583,0.0006155162],"genre_scores_gemma":[0.99645066,0.00034148697,0.0000062678123,0.0031063398,0.000046209298,0.000008196969,0.000017080649,0.0000038237763,0.000019949823],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99877113,0.00029731225,0.00018241326,0.00012302211,0.00041521117,0.0002109074],"domain_scores_gemma":[0.9990032,0.0006240915,0.00006093617,0.00012776823,0.00004283913,0.00014117395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010686232,0.000061478466,0.00012261083,0.000031569518,0.0002824558,0.000060415074,0.00040142972,0.0000456797,0.00006987592],"category_scores_gemma":[0.00058610475,0.000034367436,0.00003530869,0.0006761822,0.0002688447,0.000104159786,0.0000058642186,0.0001648571,0.000004480732],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008423046,0.00037996855,0.9376593,0.000059746228,0.00003851694,0.0000027842216,0.060141567,0.000015243029,0.00033532365,0.0009848232,0.00018499895,0.000113488226],"study_design_scores_gemma":[0.002978659,0.0006671824,0.8812295,0.00015389427,0.0002672518,1.6743911e-7,0.06069714,0.0011479919,0.0017094326,0.018814024,0.031767476,0.0005672635],"about_ca_topic_score_codex":0.0031024993,"about_ca_topic_score_gemma":0.01980553,"teacher_disagreement_score":0.05642979,"about_ca_system_score_codex":0.000037874604,"about_ca_system_score_gemma":0.00017678361,"threshold_uncertainty_score":0.9980805},"labels":[],"label_agreement":null},{"id":"W3100816347","doi":"10.1155/2020/7436710","title":"An Empirical Analysis for Mode Choice in a Short-Distance Trip with Personal Rapid Transit","year":2020,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Research Foundation of Korea; Korea Railroad Research Institute; Ministry of Science, ICT and Future Planning; National Research Foundation","keywords":"TRIPS architecture; Mode choice; Transport engineering; Mode (computer interface); Transit (satellite); Travel behavior; Mile; Computer science; Public transport; Engineering; Geography","score_opus":0.03785182358689065,"score_gpt":0.3585577528950565,"score_spread":0.3207059293081658,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3100816347","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8460244,0.00015256835,0.15198958,0.0014677101,0.000040213083,0.00022789167,0.000057700665,0.000016103162,0.00002383877],"genre_scores_gemma":[0.9934706,0.00003601586,0.0060107396,0.00020506805,0.00018540806,0.000009370882,0.00006638438,0.000011204291,0.0000052055816],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998392,0.00006278944,0.0005812686,0.00024706637,0.00048754993,0.00022931631],"domain_scores_gemma":[0.9991716,0.00009171914,0.00016826218,0.000065708424,0.00026078004,0.0002419166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003378175,0.0001274955,0.0004100796,0.00013990373,0.00012541945,0.000030392013,0.00019442408,0.00007591863,0.0000467954],"category_scores_gemma":[0.000025265568,0.000109371365,0.00025617535,0.0011123879,0.000097111355,0.0011489568,2.0095743e-7,0.00021018062,1.1525918e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023307984,0.0002122959,0.87988156,0.00004339764,0.0001360553,0.000026623218,0.052435473,0.05960939,0.0012068936,0.000043204614,0.0000054475045,0.0040688845],"study_design_scores_gemma":[0.0016515948,0.0004675016,0.9890657,0.000022899581,0.0004628001,1.4645344e-7,0.0049596108,0.001585588,0.0002669977,0.00012469785,0.0012174407,0.00017500075],"about_ca_topic_score_codex":0.000110510104,"about_ca_topic_score_gemma":0.025725123,"teacher_disagreement_score":0.1474462,"about_ca_system_score_codex":0.00006739964,"about_ca_system_score_gemma":0.00022093636,"threshold_uncertainty_score":0.99205285},"labels":[],"label_agreement":null},{"id":"W3102570627","doi":"10.1061/9780784482858.044","title":"An Optimization Model for Bus Route Redesign Considering Accessibility Improvement for Seniors","year":2020,"lang":"en","type":"article","venue":"Construction Research Congress 2020","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Public transport; Context (archaeology); Disadvantaged; Bus rapid transit; Transport engineering; Transit (satellite); Computer science; Service (business); Grid; Urbanization; Process (computing); Business; Engineering; Geography; Marketing; Economic growth; Economics","score_opus":0.12723261869364197,"score_gpt":0.41611220839591134,"score_spread":0.28887958970226935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3102570627","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20796864,0.00006778787,0.7804607,0.005724438,0.00062684837,0.003982028,0.00030475613,0.00026650823,0.0005983005],"genre_scores_gemma":[0.9421793,0.000038076978,0.056369375,0.00015953205,0.00050016586,0.00044518392,0.000090853595,0.000025464618,0.00019204819],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99714214,0.00026253978,0.00048286244,0.000804552,0.00067601283,0.00063188566],"domain_scores_gemma":[0.99724233,0.00036801616,0.00015524612,0.00030900416,0.0014251855,0.0005002334],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002186994,0.00016393908,0.00027710298,0.00008074749,0.0013777306,0.0004548273,0.00049017003,0.00017832298,0.00020052577],"category_scores_gemma":[0.0012995055,0.00017093732,0.00012700136,0.00048773087,0.0009625547,0.0010445085,0.000049951297,0.00026129896,0.000002001816],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0080805505,0.00095533766,0.30679193,0.0026516693,0.00053120725,0.000030535906,0.03944581,0.32431722,0.028852222,0.044407137,0.016430836,0.22750553],"study_design_scores_gemma":[0.0013328549,0.00022330084,0.00037496188,0.00002362671,0.00003232213,2.679718e-7,0.0050693243,0.98191273,0.0028855428,0.0059340135,0.0019259253,0.0002851447],"about_ca_topic_score_codex":0.0002686586,"about_ca_topic_score_gemma":0.0004931852,"teacher_disagreement_score":0.73421067,"about_ca_system_score_codex":0.00020205112,"about_ca_system_score_gemma":0.0010750778,"threshold_uncertainty_score":0.99992234},"labels":[],"label_agreement":null},{"id":"W3103135700","doi":"10.22215/etd/2020-14158","title":"Imagining Age-Friendly “Communities Within Communities”: Uncovering Social and Physical Barriers to Age-Friendly Transportation","year":2020,"lang":"en","type":"dissertation","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University","funders":"Directorate for Biological Sciences; Fordham University","keywords":"Poverty; Social exclusion; Social isolation; Transportation planning; Inclusion (mineral); Public transport; Business; Transport engineering; Language barrier; Service provider; Service (business); Engineering; Medicine; Sociology; Political science; Marketing; Social science","score_opus":0.026778816328712048,"score_gpt":0.3165120740819424,"score_spread":0.28973325775323033,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3103135700","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9446286,0.00005484419,0.00013352091,0.00048000502,0.0006115882,0.00053396466,0.000120580116,0.00033294334,0.053103983],"genre_scores_gemma":[0.9930371,0.00002649106,0.0006627822,0.00038251342,0.0004545447,0.00007925408,0.0027226906,0.00007403159,0.0025606176],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99729186,0.0003182911,0.00061395514,0.00039782975,0.0008161731,0.000561879],"domain_scores_gemma":[0.9985355,0.00018430126,0.0002786983,0.00028654863,0.00018598483,0.00052896596],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.00048789702,0.00050299335,0.0007483406,0.00017057848,0.0025169987,0.0005340482,0.00077172974,0.0003256851,0.00038216496],"category_scores_gemma":[0.00006222596,0.0005454379,0.00024024044,0.0005399976,0.0005956125,0.0007758213,0.000026111777,0.0010656065,0.000010300041],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017466774,0.00004835324,0.010757902,0.0002286244,0.00008414013,0.00003663163,0.9792641,0.000019339177,0.00011809242,0.007506708,0.00036284424,0.0013986381],"study_design_scores_gemma":[0.00041160258,0.00012080618,0.034251563,0.00015708819,0.00020350004,1.0514503e-7,0.951211,0.00004528129,0.00017663745,0.001991655,0.010627513,0.00080325647],"about_ca_topic_score_codex":0.06159161,"about_ca_topic_score_gemma":0.36352104,"teacher_disagreement_score":0.3019294,"about_ca_system_score_codex":0.0001413195,"about_ca_system_score_gemma":0.0006162724,"threshold_uncertainty_score":0.9996997},"labels":[],"label_agreement":null},{"id":"W3104294242","doi":"10.1136/bmjopen-2019-035942","title":"Active living environments, physical activity and premature cardiometabolic mortality in Canada: a nationwide cohort study","year":2020,"lang":"en","type":"article","venue":"BMJ Open","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University Health Centre; Statistics Canada; McGill University","funders":"Institute of Population and Public Health; Canadian Institutes of Health Research","keywords":"Medicine; Demography; Gerontology; Cohort study; Cohort; Population; Environmental health","score_opus":0.05506552788825589,"score_gpt":0.36860474934204596,"score_spread":0.3135392214537901,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3104294242","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9907159,0.0000083524155,0.000004680078,0.00045662653,0.00003863911,0.0052984683,0.000025818012,0.000007801544,0.0034437221],"genre_scores_gemma":[0.9994079,0.0000028818145,0.000006685871,0.00008716037,0.000102252285,0.00031789392,0.0000022012885,0.000005295646,0.00006774446],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985245,0.00032639684,0.00011893942,0.0003536372,0.00049866916,0.0001778654],"domain_scores_gemma":[0.99952686,0.00008913327,0.00008161057,0.00016160632,0.000011528532,0.00012924835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067600096,0.00009391277,0.0003225944,0.000014044656,0.00017127741,0.00008313538,0.00032222213,0.000030513518,0.00004073139],"category_scores_gemma":[0.0001772563,0.000088839275,0.000025392726,0.00026385157,0.00006308584,0.00056259456,0.00017479701,0.00015874769,0.0000013947812],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002450519,0.00014454794,0.98848736,0.000008276613,0.000047653288,0.00000944764,0.010085255,0.0000071108275,0.000027784406,0.00001650513,0.000021999786,0.0011195627],"study_design_scores_gemma":[0.00017074788,0.000010140052,0.9950418,0.000008585439,0.000034725093,2.738351e-8,0.0042991336,0.000057595247,0.00003614579,0.000024538178,0.00020501431,0.00011153957],"about_ca_topic_score_codex":0.9506351,"about_ca_topic_score_gemma":0.9831379,"teacher_disagreement_score":0.032502837,"about_ca_system_score_codex":0.0002125226,"about_ca_system_score_gemma":0.00083221396,"threshold_uncertainty_score":0.36227605},"labels":[],"label_agreement":null},{"id":"W3105769335","doi":"10.18280/ijsdp.150701","title":"Assessing Progress Towards Sustainable Development in the Urban Periphery: A Case of Greater Cairo, Egypt","year":2020,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Sustainable development; Environmental planning; Urban planning; Geography; Economic growth; Business; Regional science; Political science; Civil engineering; Engineering; Economics","score_opus":0.039164071940265444,"score_gpt":0.3282668699089328,"score_spread":0.28910279796866734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3105769335","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99427813,0.000647644,0.0010579795,0.0016769682,0.0000998987,0.00018974503,5.981241e-7,0.000008855552,0.0020401513],"genre_scores_gemma":[0.9975946,0.0000060096154,0.0017084916,0.0001734975,0.00017184675,0.000008364733,0.0000044766834,0.000007453967,0.00032527425],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9981136,0.00011457119,0.0006220312,0.00015883005,0.0006245014,0.00036647625],"domain_scores_gemma":[0.9985436,0.00007008989,0.000355378,0.00004518239,0.0008723817,0.000113361646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018382015,0.00013405229,0.00022819501,0.00021239548,0.00035176685,0.00038439018,0.00043854062,0.00006713083,0.0000452536],"category_scores_gemma":[0.00016504969,0.000100138226,0.000046831443,0.00033727902,0.00016628865,0.0010643698,0.00007391064,0.00023736093,3.236478e-7],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001627881,0.00008323434,0.43363187,0.000152141,0.00010642132,0.034936983,0.51168716,0.00005169668,0.0000031025688,0.0015216985,0.00025851908,0.017404366],"study_design_scores_gemma":[0.00065816904,0.000036945206,0.16618389,0.00015353214,0.000017206881,0.000097863915,0.7904295,0.000030439012,0.00037907102,0.00017877576,0.041653715,0.00018090305],"about_ca_topic_score_codex":0.0004136374,"about_ca_topic_score_gemma":0.000049092112,"teacher_disagreement_score":0.2787423,"about_ca_system_score_codex":0.00029450248,"about_ca_system_score_gemma":0.0014694742,"threshold_uncertainty_score":0.40835184},"labels":[],"label_agreement":null},{"id":"W3107352698","doi":"10.1080/01441647.2020.1848140","title":"Stepping into the shoes of a giant: A vision statement from the new Editors-in-Chief of Transport Reviews","year":2020,"lang":"en","type":"article","venue":"Transport Reviews","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Statement (logic); Launched; Passenger transport; Management; Sociology; Law; Political science; Transport engineering; Engineering; Economics","score_opus":0.049687210967903676,"score_gpt":0.33832266742879474,"score_spread":0.28863545646089106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3107352698","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.601037,0.31682304,0.00713345,0.056519743,0.0021571163,0.011647568,0.00020190506,0.00012668708,0.004353495],"genre_scores_gemma":[0.92153555,0.073825404,0.0012035493,0.0010443004,0.0020484608,0.00008059049,0.00008037677,0.000027838265,0.00015390413],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99569607,0.00046078264,0.002310674,0.0004961292,0.0006821351,0.00035421073],"domain_scores_gemma":[0.9982569,0.00017171631,0.0007236649,0.0005871699,0.000065154214,0.00019536992],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034512815,0.000295641,0.0011850463,0.00003243621,0.00020610096,0.000014628242,0.001087155,0.000111885085,0.00085399504],"category_scores_gemma":[0.00007329283,0.00015916205,0.0005984139,0.00090159953,0.00042542443,0.0003392086,0.000011987481,0.00034593948,0.000017882752],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002813846,0.00042365643,0.42337406,0.0019489251,0.000103761944,0.000016630647,0.36766085,0.000021614209,0.0027271474,0.00067973114,0.016706603,0.18605563],"study_design_scores_gemma":[0.0003482546,0.000064524174,0.13326514,0.001040917,0.00018096928,2.497987e-8,0.001256902,0.000005427896,0.00017940604,0.00029730552,0.8631779,0.00018326999],"about_ca_topic_score_codex":0.020375345,"about_ca_topic_score_gemma":0.041144457,"teacher_disagreement_score":0.84647125,"about_ca_system_score_codex":0.00004333953,"about_ca_system_score_gemma":0.00031176623,"threshold_uncertainty_score":0.98614806},"labels":[],"label_agreement":null},{"id":"W3107645163","doi":"10.1139/apnm-2020-0277","title":"Influence of weather conditions on children’s school travel mode and physical activity in 3 diverse regions of Canada","year":2020,"lang":"en","type":"article","venue":"Applied Physiology Nutrition and Metabolism","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of British Columbia; Children's Hospital of Eastern Ontario; University of Lethbridge; Université du Québec à Trois-Rivières","funders":"","keywords":"Pedometer; Morning; Physical activity; Demography; Precipitation; Psychological intervention; Socioeconomic status; Geography; Environmental science; Medicine; Meteorology; Population; Physical therapy","score_opus":0.014038102795360155,"score_gpt":0.26471524687297776,"score_spread":0.2506771440776176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3107645163","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99857867,0.00004550452,0.000003922489,0.0005735854,0.000010144551,0.00024547765,0.00016325095,0.00000661894,0.00037284452],"genre_scores_gemma":[0.9995541,0.000100336794,0.000012097415,0.00023058364,0.000059850692,0.000022069196,0.000013164304,0.0000028908833,0.0000049021396],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9994578,0.000050399834,0.0000972912,0.00018257205,0.00009522465,0.000116734926],"domain_scores_gemma":[0.99968815,0.00005106408,0.00006822639,0.00006518908,0.000025522995,0.00010183539],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000035256715,0.00007225399,0.00023910006,0.000026838257,0.000096056836,0.0000024943815,0.00006536066,0.0000531623,0.000012841899],"category_scores_gemma":[0.000016655667,0.00006900544,0.000024490584,0.00013334933,0.00036833037,0.00007401897,0.000011593572,0.00011815144,2.5779462e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004674559,0.002044066,0.02064176,0.00016034601,0.00010551149,0.0000018347216,0.014702998,0.00044795673,0.68547,0.27401447,0.0009357709,0.0010078284],"study_design_scores_gemma":[0.00083290244,0.000006235381,0.9862742,0.000009420825,0.00001905277,3.0116613e-8,0.0005132695,0.000014094895,0.0058797225,0.0062344596,0.0001504928,0.000066145054],"about_ca_topic_score_codex":0.052964646,"about_ca_topic_score_gemma":0.018903181,"teacher_disagreement_score":0.96563244,"about_ca_system_score_codex":0.000009493505,"about_ca_system_score_gemma":0.00010530102,"threshold_uncertainty_score":0.9989993},"labels":[],"label_agreement":null},{"id":"W3107997154","doi":"10.1016/j.jth.2020.100975","title":"An exploration of the navigational behaviours of people who use wheeled mobility devices in unfamiliar pedestrian environments","year":2020,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"International Collaboration On Repair Discoveries; University of Waterloo; British Columbia Institute of Technology; GF Strong Rehabilitation Centre; University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Wheelchair; TRIPS architecture; Pedestrian; Orientation and Mobility; Applied psychology; Destinations; Psychology; Upload; Global Positioning System; Computer science; Human–computer interaction; Transport engineering; Engineering; Geography; World Wide Web","score_opus":0.06896876738072336,"score_gpt":0.34124473546511797,"score_spread":0.2722759680843946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3107997154","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953158,0.00012538342,0.0004793941,0.0035453588,0.00010379106,0.00034067134,0.000072803734,0.000004107854,0.0000126822715],"genre_scores_gemma":[0.999318,0.00016696127,0.00023700617,0.00017415715,0.00007173014,0.000002008532,0.00001796956,0.0000070433525,0.0000051187963],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99741995,0.00030009454,0.0011423598,0.00016309293,0.00078192353,0.00019257204],"domain_scores_gemma":[0.99850786,0.000055443503,0.00095886044,0.00015602878,0.000095222786,0.00022658796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014876024,0.00010119963,0.00043168938,0.000047590915,0.00013853208,0.000010700143,0.00038225047,0.00007937157,0.000053837695],"category_scores_gemma":[0.00003307153,0.00007973267,0.00016818327,0.00039204644,0.00019382451,0.0020319435,0.000003883657,0.00027423134,1.7642552e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012162877,0.00040819883,0.95918477,0.00007549043,0.000007929034,0.0000015634048,0.0392233,0.0003942005,0.00016327483,0.000060976152,0.000004029565,0.0003546354],"study_design_scores_gemma":[0.00049722515,0.00019474872,0.99469566,0.00009552658,0.000029339437,1.400839e-7,0.0038301926,0.000022380456,0.00020679313,0.00020210411,0.000165033,0.00006085296],"about_ca_topic_score_codex":0.009502331,"about_ca_topic_score_gemma":0.032995977,"teacher_disagreement_score":0.035510886,"about_ca_system_score_codex":0.00011277823,"about_ca_system_score_gemma":0.0009028663,"threshold_uncertainty_score":0.9970935},"labels":[],"label_agreement":null},{"id":"W3108385236","doi":"10.3390/su12239892","title":"The Unintended Consequences of COVID-19 Mitigation Measures on Mass Transit and Car Use","year":2020,"lang":"en","type":"article","venue":"Sustainability","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Prompt (Canada); Natural Sciences and Engineering Research Council of Canada; HEC Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Public transport; Transit (satellite); Work (physics); Business; Sustainable transport; Transport engineering; Coronavirus disease 2019 (COVID-19); Pandemic; Mass transportation; Environmental health; Sustainability; Engineering; Medicine","score_opus":0.04060461254060199,"score_gpt":0.32224357888290633,"score_spread":0.28163896634230434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3108385236","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9152248,0.0001330381,0.00068014197,0.08289317,0.000044403063,0.00055605307,0.000021800239,0.000056941593,0.00038968626],"genre_scores_gemma":[0.9993506,0.000032378015,0.00002993998,0.0004696112,0.00003099301,0.00001120066,0.0000028057873,0.000003599379,0.000068862035],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99827677,0.00063273177,0.0002442712,0.00027739536,0.0003461005,0.00022271197],"domain_scores_gemma":[0.99843055,0.00056112296,0.000082897706,0.00017777854,0.0004965593,0.0002511035],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0014255764,0.000091256035,0.00015692184,0.000016359827,0.00070691895,0.000078098295,0.00020552121,0.000074570904,0.000022583647],"category_scores_gemma":[0.006883376,0.0000655625,0.00006940374,0.00025758112,0.004566561,0.00021715065,0.000008613444,0.00015140197,3.2403648e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046374602,0.00006543412,0.84120893,0.00031500356,0.000029435725,0.000010861408,0.046659876,0.000074069336,0.00056173105,0.107154146,0.00018879297,0.0032679893],"study_design_scores_gemma":[0.00088015554,0.00026237816,0.34434533,0.000014230376,0.00007535818,1.816977e-7,0.13058175,0.00006415556,0.003772356,0.4883798,0.031296574,0.00032771676],"about_ca_topic_score_codex":0.0074160937,"about_ca_topic_score_gemma":0.0051548593,"teacher_disagreement_score":0.49686357,"about_ca_system_score_codex":0.00026389156,"about_ca_system_score_gemma":0.0013231667,"threshold_uncertainty_score":0.9991936},"labels":[],"label_agreement":null},{"id":"W3108924173","doi":"10.1371/journal.pone.0242999","title":"Associations between objectively-measured and self-reported neighbourhood walkability on adherence and steps during an internet-delivered pedometer intervention","year":2020,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta; University of Calgary","funders":"Canadian Institutes of Health Research","keywords":"Walkability; Pedometer; Environmental health; The Internet; Medicine; Neighbourhood (mathematics); Intervention (counseling); Physical therapy; Gerontology; Environmental science; Physical activity; Computer science; World Wide Web; Mathematics; Nursing","score_opus":0.09176371846752156,"score_gpt":0.29182707564367383,"score_spread":0.20006335717615226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3108924173","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998136,0.000045114866,0.000023884917,0.00032108062,0.00002192584,0.0004545507,0.00007211877,0.00018591844,0.00073941064],"genre_scores_gemma":[0.99937963,0.000013655165,0.000292276,0.000028147953,0.00014387071,0.000014415541,0.000029254197,0.000010821754,0.00008793757],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99829787,0.0002045847,0.0003655272,0.00047924617,0.0004279399,0.00022485609],"domain_scores_gemma":[0.99913,0.00010188324,0.00021224041,0.00012211071,0.00018618736,0.00024754653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052166305,0.00013334003,0.0002989217,0.000042081672,0.00027041323,0.00013737766,0.00014534098,0.00011416126,0.00014988307],"category_scores_gemma":[0.0004188575,0.00013768369,0.000059652066,0.00021851371,0.00011806438,0.0005709488,0.000042514195,0.00022050363,0.0000055906685],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048995265,0.001139727,0.985719,0.000060141752,0.0002880867,0.0000017865658,0.010496411,6.0674864e-8,0.0011467894,0.000030264388,0.0000018710723,0.0010668626],"study_design_scores_gemma":[0.0006441817,0.000349649,0.99475926,0.00006171507,0.0002511864,3.7424318e-8,0.00057435903,0.000046192872,0.0026436597,0.00050906104,0.0000020806222,0.00015860704],"about_ca_topic_score_codex":0.002412665,"about_ca_topic_score_gemma":0.0023641472,"teacher_disagreement_score":0.009922051,"about_ca_system_score_codex":0.000111306035,"about_ca_system_score_gemma":0.00003971041,"threshold_uncertainty_score":0.5614578},"labels":[],"label_agreement":null},{"id":"W3109316028","doi":"10.3389/frsc.2020.599635","title":"Built Environmental Correlates of Cycling Accidents Involving Fatalities and Serious Injuries in London, UK","year":2020,"lang":"en","type":"article","venue":"Frontiers in Sustainable Cities","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"H2020 European Research Council","keywords":"Cycling; Quartile; Psychological intervention; Odds; Poison control; Environmental health; Injury prevention; Occupational safety and health; Human factors and ergonomics; Odds ratio; Recreation; Suicide prevention; Medicine; Transport engineering; Geography; Engineering; Ecology; Confidence interval; Logistic regression","score_opus":0.009477419412660908,"score_gpt":0.24140918564740196,"score_spread":0.23193176623474104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3109316028","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9895618,0.008769442,0.00011268563,0.00025432272,0.00017405703,0.00031557435,0.000014719999,0.000029607434,0.0007677876],"genre_scores_gemma":[0.99742883,0.0009416474,0.00027537896,0.000079961,0.000049515005,0.000016884174,0.000012592221,0.000012500724,0.0011826679],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.998455,0.00011015254,0.00041631964,0.0002792397,0.00026860944,0.0004706641],"domain_scores_gemma":[0.9995888,0.00006788358,0.00011875599,0.00010645468,0.000026319369,0.00009178742],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043383098,0.00014993576,0.00035658563,0.00016846295,0.00021869625,0.000091992595,0.0002621094,0.000120431934,0.000059867827],"category_scores_gemma":[0.00020855431,0.00016772142,0.000044927674,0.00029698716,0.0008987411,0.0008017631,0.00011329889,0.00020096755,4.3346893e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006802048,0.000019997822,0.92184937,0.00018751959,0.00001076049,0.00003012223,0.076377645,0.00003645528,0.000016069,0.0008203483,0.0002005506,0.00038313377],"study_design_scores_gemma":[0.00040096737,0.000032655767,0.45766324,0.000052765907,0.000010828643,8.6424045e-8,0.5243612,0.00006573933,0.00027307848,0.016213937,0.00074385956,0.00018163712],"about_ca_topic_score_codex":0.0074988655,"about_ca_topic_score_gemma":0.0014803461,"teacher_disagreement_score":0.46418613,"about_ca_system_score_codex":0.00020625273,"about_ca_system_score_gemma":0.00012857244,"threshold_uncertainty_score":0.9991103},"labels":[],"label_agreement":null},{"id":"W3110165304","doi":"10.1155/2020/8876040","title":"Effects of Human Factors on Public Use of Standing-Type Personal Mobility Vehicle","year":2020,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"New Energy and Industrial Technology Development Organization","keywords":"Personal mobility; Public transport; Transport engineering; Mile; Computer science; Acceleration; Simulation; Automotive engineering; Engineering; Telecommunications","score_opus":0.050799829011643885,"score_gpt":0.3165587073584483,"score_spread":0.26575887834680445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3110165304","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991032,0.00007329711,0.00022443429,0.00020232551,0.00016362255,0.00017624661,0.000019643905,0.000011764328,0.000025460537],"genre_scores_gemma":[0.9996481,0.000032064017,0.00020332025,0.000027757918,0.00006159243,6.0096335e-7,0.000011313705,0.0000075577173,0.000007712191],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99850565,0.00007482909,0.000571551,0.00013064823,0.00057462347,0.00014268894],"domain_scores_gemma":[0.99854624,0.00020802037,0.00062276487,0.000056565437,0.00041187837,0.00015451708],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024836586,0.00009598262,0.00030510206,0.00007025723,0.00010745716,0.000014469466,0.00014069561,0.00006660358,0.00006202158],"category_scores_gemma":[0.00019573995,0.00008305945,0.00017622506,0.00037381938,0.00016616733,0.0009060044,9.291266e-7,0.00018173765,2.3099525e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00053860486,0.00039523767,0.88875306,0.00025833427,0.00005267851,0.000009494638,0.031576775,0.00045344298,0.07646357,0.0007100457,0.0000120101,0.00077672617],"study_design_scores_gemma":[0.00067946897,0.00067715376,0.9706177,0.00006500253,0.000055492084,1.9650221e-8,0.0019381623,0.0000041528515,0.025417913,0.00028173995,0.0001873726,0.00007583476],"about_ca_topic_score_codex":0.00009978524,"about_ca_topic_score_gemma":0.0003334562,"teacher_disagreement_score":0.08186461,"about_ca_system_score_codex":0.000053979646,"about_ca_system_score_gemma":0.00013280743,"threshold_uncertainty_score":0.3387066},"labels":[],"label_agreement":null},{"id":"W3110241839","doi":"10.1155/2020/8847752","title":"Machine Learning Approach to Quantity Management for Long-Term Sustainable Development of Dockless Public Bike: Case of Shenzhen in China","year":2020,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Transport engineering; Data collection; Work (physics); Cluster analysis; Random forest; Government (linguistics); Computer science; Sustainable development; Operations research; Machine learning; Engineering; Statistics; Mathematics","score_opus":0.028883874717054666,"score_gpt":0.3097771975265948,"score_spread":0.28089332280954016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3110241839","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.936332,0.00015403588,0.06253261,0.0002214384,0.00004572069,0.00052408176,0.0000066456737,0.000008260039,0.00017521827],"genre_scores_gemma":[0.97681916,0.000038137103,0.02301798,0.000012587587,0.00002797847,0.000011719677,0.000028279721,0.000009108069,0.000035056255],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984099,0.000047011737,0.0008352105,0.00016349005,0.00031790347,0.00022643027],"domain_scores_gemma":[0.998969,0.000027993492,0.0005219323,0.00005872382,0.0002865402,0.0001357933],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008179808,0.000100268946,0.00031587333,0.00019316208,0.00013746553,0.00001739183,0.00019550252,0.00004499806,0.000012756393],"category_scores_gemma":[0.000047015372,0.000095303905,0.00010060539,0.0006022757,0.000046244277,0.0006412347,0.000003936285,0.00014291047,9.475042e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007543518,0.0005321436,0.8727085,0.00181342,0.00008034729,0.00020980283,0.08217627,0.021660715,0.0003299143,0.0047551454,0.0000025759473,0.014976839],"study_design_scores_gemma":[0.0014575515,0.00014542456,0.98180896,0.00007648493,0.000054150507,0.0000010535903,0.014904618,0.00005612804,0.00066345674,0.00026475303,0.00043289902,0.00013454496],"about_ca_topic_score_codex":0.00016968865,"about_ca_topic_score_gemma":0.0023862931,"teacher_disagreement_score":0.10910045,"about_ca_system_score_codex":0.00008411008,"about_ca_system_score_gemma":0.00016961189,"threshold_uncertainty_score":0.38863805},"labels":[],"label_agreement":null},{"id":"W3110285826","doi":"10.4102/jtscm.v14i0.522","title":"Identifying transport policy gaps in student travel demand management in South Africa","year":2020,"lang":"en","type":"article","venue":"Journal of Transport and Supply Chain Management","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Transport Canada","funders":"University of Cape Town","keywords":"Redress; Legislation; Public transport; Government (linguistics); Business; Sustainable transport; Demand management; Public policy; Public economics; Public relations; Economics; Marketing; Political science; Sustainability; Economic growth; Transport engineering; Engineering","score_opus":0.027661524714656417,"score_gpt":0.2970420630327145,"score_spread":0.2693805383180581,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3110285826","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9778541,0.001223867,0.0032193398,0.0044211405,0.00018192861,0.00090044487,0.0000143095685,0.000023940045,0.012160945],"genre_scores_gemma":[0.99638295,0.0017701063,0.00084058946,0.00028055607,0.00020544782,0.00001704854,0.0000072488547,0.000020773516,0.00047529253],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9967068,0.0001040047,0.0012144109,0.0004139188,0.0009641429,0.0005967502],"domain_scores_gemma":[0.9991771,0.000021693017,0.000260769,0.0001488952,0.000044642264,0.00034691452],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0018156196,0.00026825472,0.0005888769,0.000645323,0.00015656315,0.000059765953,0.0005763912,0.00010136994,0.000120272656],"category_scores_gemma":[0.00000436543,0.00025467388,0.00022854691,0.0010061061,0.00015694858,0.0004466389,0.000022105349,0.00037379816,0.0000022692377],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024412824,0.00032754758,0.834985,0.0003941362,0.00015221271,0.0019801615,0.15614681,0.00019698554,0.000015339907,0.0033966138,0.000035243575,0.0021257973],"study_design_scores_gemma":[0.0025376424,0.000075537544,0.9417648,0.00020685873,0.00015426484,7.172694e-7,0.049102083,0.000017230586,0.000010416389,0.0011582671,0.0046998225,0.0002723961],"about_ca_topic_score_codex":0.00022737574,"about_ca_topic_score_gemma":0.0015339025,"teacher_disagreement_score":0.10704473,"about_ca_system_score_codex":0.00015348467,"about_ca_system_score_gemma":0.000079969264,"threshold_uncertainty_score":0.9999905},"labels":[],"label_agreement":null},{"id":"W3110399804","doi":"10.3390/su12239966","title":"Subcentres as Destinations: Job Decentralization, Polycentricity, and the Sustainability of Commuting Patterns in Canadian Metropolitan Areas, 1996–2016","year":2020,"lang":"en","type":"article","venue":"Sustainability","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Polycentricity; Metropolitan area; Sustainability; Economic geography; Public transport; Destinations; Geography; Sustainable transport; Microdata (statistics); Sustainable city; Downtown; Sustainable development; Global city; Business; Census; Transport engineering; Population; Political science; Engineering; Corporate governance","score_opus":0.010279336436581018,"score_gpt":0.2910175060499777,"score_spread":0.2807381696133967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3110399804","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95537114,0.0005658863,0.00024677874,0.040858816,0.000050283972,0.0015136816,0.000040499403,0.000049116574,0.0013037684],"genre_scores_gemma":[0.9994144,0.000060888262,0.000014437974,0.00035333761,0.000054600456,0.000026263016,0.000016797312,0.000010744992,0.0000485404],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99608964,0.0014885217,0.0006528887,0.00045560836,0.00042189815,0.0008914597],"domain_scores_gemma":[0.99656117,0.00081115746,0.00019198874,0.00039416846,0.0014604598,0.00058102637],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.003175135,0.0001891636,0.00037891435,0.00013090845,0.0008257465,0.00010924705,0.0005238889,0.00012651822,0.00014563007],"category_scores_gemma":[0.019876627,0.00015472209,0.0001095656,0.0012114587,0.0018155217,0.00037200208,0.00009446728,0.00030113748,6.680401e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009110599,0.000069425805,0.89849323,0.00021706446,0.000009550194,0.0000074842264,0.013855113,0.000020756592,1.8193164e-7,0.086331025,0.000030435156,0.0008746511],"study_design_scores_gemma":[0.00076593936,0.000021536014,0.86187834,0.000014806164,0.000027180788,1.8740245e-7,0.053193606,0.00017855226,0.000011611209,0.083042525,0.00071960967,0.00014613419],"about_ca_topic_score_codex":0.95237565,"about_ca_topic_score_gemma":0.85622394,"teacher_disagreement_score":0.09615168,"about_ca_system_score_codex":0.0038664136,"about_ca_system_score_gemma":0.004736471,"threshold_uncertainty_score":0.99995756},"labels":[],"label_agreement":null},{"id":"W3110796878","doi":"10.1093/geroni/igaa057.927","title":"Lifestyle Adjustment and Mobility-Related Goal Setting After Driving Cessation With People Living With Dementia","year":2020,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Dementia; Psychology; Intervention (counseling); Quality of life (healthcare); Gerontology; Thematic analysis; Applied psychology; Medicine; Psychiatry; Qualitative research; Sociology","score_opus":0.008881003615970037,"score_gpt":0.2513987843992372,"score_spread":0.24251778078326713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3110796878","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99397653,0.00007484322,0.002755044,0.0019055522,0.000042208576,0.00026130865,8.3420673e-7,0.00008294637,0.0009007114],"genre_scores_gemma":[0.998693,0.0000042245024,0.00091420894,0.00024172706,0.000076234704,0.00003625756,0.0000075725347,0.0000101224305,0.000016652653],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99880993,0.00007627743,0.00034390733,0.00029135487,0.00027022333,0.00020830076],"domain_scores_gemma":[0.99952024,0.00008282049,0.00015823066,0.00007457663,0.00012102957,0.000043113963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007309998,0.000097749486,0.00011396757,0.00009976843,0.00020990199,0.00010054084,0.00007279022,0.000045590936,0.000085834676],"category_scores_gemma":[0.0000956135,0.000087212306,0.000008880386,0.0014573938,0.0000822764,0.00067565,0.000023479737,0.00016277556,0.0000013542635],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009513885,0.00002792875,0.9670952,0.000038237155,0.00001277177,0.0000019538327,0.030864635,0.00011675437,0.00012094332,0.0003808524,0.000005046845,0.0013261829],"study_design_scores_gemma":[0.00028124635,0.000019969108,0.99340147,0.00018757362,0.000017270053,2.4336398e-7,0.0050487625,0.0006977245,0.000054634176,0.00010211825,0.00006120445,0.00012776899],"about_ca_topic_score_codex":0.00043341785,"about_ca_topic_score_gemma":0.0048584775,"teacher_disagreement_score":0.026306305,"about_ca_system_score_codex":0.000061448176,"about_ca_system_score_gemma":0.00009192237,"threshold_uncertainty_score":0.35564148},"labels":[],"label_agreement":null},{"id":"W3110835215","doi":"10.1088/1748-9326/abd42e","title":"Does location matter? Investigating the spatial and socio-economic drivers of residential energy use in Dar es Salaam","year":2020,"lang":"en","type":"article","venue":"Environmental Research Letters","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; International Development Research Centre; International Growth Centre","keywords":"Household income; Electricity; Geography; Energy (signal processing); Business; Socioeconomics; Economics; Statistics","score_opus":0.03408932132427721,"score_gpt":0.29002434483303813,"score_spread":0.2559350235087609,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3110835215","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9804336,0.000024691724,0.00007068692,0.01922103,0.000041338808,0.00014823294,0.000012239602,0.0000061667756,0.00004203025],"genre_scores_gemma":[0.99900746,0.000053417112,0.000046314217,0.00069073413,0.0001362162,0.000009287913,0.00001010119,0.0000075785665,0.000038905087],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985212,0.000380261,0.00019116438,0.00025219205,0.00040557238,0.00024960478],"domain_scores_gemma":[0.9995055,0.00022517508,0.000058050206,0.00010838983,0.0000032650794,0.00009959532],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005800765,0.00006856655,0.00009492543,0.000042955555,0.00029433327,0.00007640976,0.000240625,0.000042258198,0.00024930952],"category_scores_gemma":[0.000062480525,0.000048848575,0.000027391428,0.0000847433,0.0020065166,0.00040398035,0.000092149356,0.0001870737,0.000014176699],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001535621,0.000012557144,0.9748987,0.000009409137,0.0000064893884,0.000002684644,0.007895283,0.000046023517,0.015810119,0.00006958588,0.0003937434,0.0008400287],"study_design_scores_gemma":[0.00019938406,0.000016127655,0.98967576,0.000013686429,0.000003957853,2.7557565e-8,0.005174,0.00013316829,0.0039192247,0.00025487356,0.000535988,0.00007380135],"about_ca_topic_score_codex":0.021648824,"about_ca_topic_score_gemma":0.006929476,"teacher_disagreement_score":0.018573863,"about_ca_system_score_codex":0.00018104275,"about_ca_system_score_gemma":0.000048757593,"threshold_uncertainty_score":0.9848661},"labels":[],"label_agreement":null},{"id":"W3110893060","doi":"10.1787/f2bb60fc-en","title":"Developing transit-oriented communities for better accessibility and affordability","year":2020,"lang":"en","type":"report","venue":"OECD regional development papers","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business; Promotion (chess); Transit (satellite); Public transport; Transit-oriented development; Environmental planning; Transport engineering; Urban planning; Bus rapid transit; Affordable housing; Economic growth; Geography; Political science; Engineering; Civil engineering; Economics","score_opus":0.10690260909606551,"score_gpt":0.34694389937570114,"score_spread":0.2400412902796356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3110893060","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75982857,0.002680514,0.0045079067,0.0315244,0.0037115545,0.006703598,0.00045764053,0.0009715631,0.18961424],"genre_scores_gemma":[0.9573084,0.0025198725,0.026994215,0.0023251453,0.0010923842,0.00067606935,0.0029329509,0.00012811992,0.0060228077],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.995541,0.0002497271,0.0010253624,0.00089184084,0.0015626409,0.0007294762],"domain_scores_gemma":[0.99772775,0.0005043856,0.00040810986,0.00038929723,0.0006152243,0.00035520224],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0023237993,0.00057294074,0.00087140297,0.00012517803,0.0018134043,0.00018353558,0.00070096384,0.00060541835,0.0003398696],"category_scores_gemma":[0.0001641159,0.00053739856,0.0002946038,0.00022657019,0.0012244458,0.00036662363,0.00011783931,0.00058233854,0.0000075744424],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043033445,0.00027546476,0.8003747,0.0035973634,0.00074344315,0.000014964836,0.051647425,0.0000010953844,0.000043425538,0.0027749445,0.009267681,0.13082916],"study_design_scores_gemma":[0.00033887042,0.00001657241,0.2743786,0.00020933963,0.00007094973,8.8205206e-7,0.0030563734,0.0000015192923,0.000033477405,0.00066559727,0.7206305,0.00059727987],"about_ca_topic_score_codex":0.0011250057,"about_ca_topic_score_gemma":0.014806577,"teacher_disagreement_score":0.71136284,"about_ca_system_score_codex":0.0010910431,"about_ca_system_score_gemma":0.007486158,"threshold_uncertainty_score":0.99970776},"labels":[],"label_agreement":null},{"id":"W3110944045","doi":"10.1093/geroni/igaa057.950","title":"A Conceptual Framework of Person-Environment Relations in the Out-of-Home Mobility of People Living With Dementia","year":2020,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Autonomy; Dementia; Psychology; Agency (philosophy); Conceptual framework; Neighbourhood (mathematics); Psychosocial; Place attachment; Social psychology; Gerontology; Sociology; Medicine; Political science","score_opus":0.03788845665293228,"score_gpt":0.2864407690812578,"score_spread":0.24855231242832554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3110944045","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9899982,0.000034310022,0.007897395,0.0011690492,0.000028818868,0.00018966402,0.0000037371665,0.00000582155,0.0006730031],"genre_scores_gemma":[0.9988978,0.0000021383953,0.0009997075,0.000063309446,0.000018494484,0.000009583459,0.0000029199539,0.000002548752,0.000003478594],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990587,0.000095902185,0.00038027813,0.00011807909,0.00025856931,0.00008843195],"domain_scores_gemma":[0.9993798,0.00023917673,0.00022298953,0.00009612391,0.000052741856,0.000009166871],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094191806,0.000044653305,0.000119589604,0.00006017011,0.000052294945,0.000006428441,0.00014244339,0.00003809394,0.00015384641],"category_scores_gemma":[0.0001880974,0.000036658057,0.000017443357,0.0011649033,0.00024655013,0.00016138895,0.000010896158,0.00014189092,5.1626654e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003931903,0.000054313914,0.7745987,0.000016325126,0.0000043970126,1.0182688e-7,0.21609646,0.00020668922,0.00010592388,0.008823796,0.0000026958787,0.0000866386],"study_design_scores_gemma":[0.00009980667,0.000017711382,0.9275075,0.0000807761,0.0000065590493,4.492315e-9,0.07137889,0.00006901359,0.00007915269,0.00068827055,0.00003351868,0.00003878695],"about_ca_topic_score_codex":0.0007323874,"about_ca_topic_score_gemma":0.000594577,"teacher_disagreement_score":0.15290879,"about_ca_system_score_codex":0.00002838565,"about_ca_system_score_gemma":0.00006596075,"threshold_uncertainty_score":0.16845104},"labels":[],"label_agreement":null},{"id":"W3111386602","doi":"10.1016/j.jtrangeo.2020.102926","title":"Divergent infrastructure: Uncovering alternative pathways in urban velomobilities","year":2020,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Context (archaeology); Restructuring; Divestment; Investment (military); Urban planning; Environmental planning; Transport engineering; Business; Economic growth; Political science; Engineering; Geography; Economics; Civil engineering; Finance","score_opus":0.018710914251950386,"score_gpt":0.24831874660373685,"score_spread":0.22960783235178645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3111386602","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99612826,0.0006142122,0.00046679843,0.00057513756,0.0005316074,0.00015183259,0.00003422055,0.000024192243,0.0014737444],"genre_scores_gemma":[0.9985799,0.00032543243,0.00034361932,0.00025020473,0.00047790562,0.000002189979,0.0000041696694,0.000010485136,0.0000060518873],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979987,0.00007556056,0.0007179937,0.00020675272,0.00067395077,0.00032704457],"domain_scores_gemma":[0.9990723,0.000047347312,0.000322693,0.00009527086,0.00016502257,0.00029733588],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056091155,0.00016346844,0.00037733233,0.00021211537,0.00014574226,0.000031483738,0.00049227854,0.000092720635,0.00033253225],"category_scores_gemma":[0.00003462855,0.00014515889,0.00040910635,0.00070813583,0.00026356243,0.0006390366,0.000009615261,0.00041670713,0.0000014238426],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012632695,0.000064544445,0.963772,0.000032702308,0.000054319327,0.0001201427,0.034186717,0.00049893965,0.000078548204,0.00019786629,0.000089550645,0.0007783523],"study_design_scores_gemma":[0.00063221727,0.00012976213,0.9791187,0.000058647154,0.00004250517,5.931369e-7,0.003366841,0.0000068629224,0.00024216763,0.0032884185,0.012937004,0.00017628845],"about_ca_topic_score_codex":0.0008300053,"about_ca_topic_score_gemma":0.00080498937,"teacher_disagreement_score":0.030819876,"about_ca_system_score_codex":0.000058311754,"about_ca_system_score_gemma":0.00021739097,"threshold_uncertainty_score":0.59194076},"labels":[],"label_agreement":null},{"id":"W3111541213","doi":"10.1007/978-3-030-60865-1_20","title":"Public Transit and Urban Design","year":2020,"lang":"en","type":"book-chapter","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Public transport; Transit (satellite); Business; Transport engineering; Investment (military); Process (computing); Environmental planning; Bus rapid transit; Greenhouse gas; Public investment; Transit system; Engineering; Political science; Computer science; Geography; Economic policy; Public welfare","score_opus":0.12395453424507373,"score_gpt":0.26856731893778685,"score_spread":0.1446127846927131,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3111541213","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000017569711,0.00072271883,0.0031323922,0.005094741,0.000105243475,0.00031788,0.000012201063,0.00017124585,0.990426],"genre_scores_gemma":[0.17004511,0.00020811963,0.00054220686,0.00062687317,0.0004603557,0.000003965773,0.00001754268,0.000028349657,0.8280675],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99888587,0.000027981383,0.00019704836,0.00038177703,0.00030724937,0.00020005848],"domain_scores_gemma":[0.9994201,0.0000621923,0.000058108588,0.00013433793,0.000055938963,0.00026931163],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00028511387,0.00017777462,0.0002611841,0.000043842407,0.00025800752,0.00014331755,0.00023562809,0.0002987599,0.0042732228],"category_scores_gemma":[0.000016231697,0.0001603595,0.00009723175,0.00003471259,0.00038740502,0.00020775205,0.000011659365,0.00023195348,0.00007563463],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014767994,0.000012075434,0.0026715065,0.00003671088,0.000054182117,0.00002423102,0.0027640332,3.5283747e-8,0.000003849231,0.96023357,0.026274232,0.007910795],"study_design_scores_gemma":[0.00011876507,0.000028561242,0.0005053371,0.000016079266,0.000055341025,1.05863656e-7,0.00007355408,0.0000032953585,0.000004827969,0.056677997,0.9422175,0.00029857826],"about_ca_topic_score_codex":0.00016980089,"about_ca_topic_score_gemma":0.0012892532,"teacher_disagreement_score":0.9159433,"about_ca_system_score_codex":0.000031111853,"about_ca_system_score_gemma":0.00024516947,"threshold_uncertainty_score":0.996637},"labels":[],"label_agreement":null},{"id":"W3111570242","doi":"10.3390/ijerph17249284","title":"Comparison Study of Perceived Neighborhood-Built Environment and Elderly Leisure-Time Physical Activity between Hangzhou and Wenzhou, China","year":2020,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Walkability; Built environment; China; Pedestrian; Environmental health; Level design; Cycling; Geography; Occupational safety and health; Human factors and ergonomics; Physical activity; Transport engineering; Gerontology; Psychology; Poison control; Medicine; Engineering; Civil engineering; Computer science","score_opus":0.128641214312707,"score_gpt":0.4335775130704995,"score_spread":0.3049362987577925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3111570242","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98511255,0.00028957005,0.00004026513,0.0140861,0.000025517898,0.0002645026,0.000057102166,0.0000036897977,0.00012070183],"genre_scores_gemma":[0.9990278,0.0005734015,0.000028932456,0.000028404189,0.00030280766,0.0000020393445,0.0000053600215,0.000006936528,0.000024313418],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99729115,0.00049320125,0.0003305852,0.00023036405,0.0013596948,0.00029500047],"domain_scores_gemma":[0.9987552,0.00022623436,0.00024213613,0.00006836682,0.00003200665,0.00067605707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014285409,0.000101248595,0.00036659674,0.00010274213,0.0002919138,0.000112621165,0.00029341635,0.00004541977,0.00014134379],"category_scores_gemma":[0.00008015894,0.0000872046,0.000039284227,0.000073193914,0.00058774074,0.0004990355,0.00013193517,0.00045079258,0.0000023059679],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009738333,0.0014957701,0.908465,0.000011963,0.00008069488,0.000005568608,0.015445714,6.850163e-7,0.0006394211,0.000026522572,0.00003510732,0.07369617],"study_design_scores_gemma":[0.0008325995,0.0021493565,0.99078995,0.000012384178,0.0000068753675,9.378813e-7,0.0045671463,0.00008682237,0.000023212031,0.00018973317,0.0012766813,0.00006429149],"about_ca_topic_score_codex":0.0012405231,"about_ca_topic_score_gemma":0.000118498705,"teacher_disagreement_score":0.08232495,"about_ca_system_score_codex":0.00015367461,"about_ca_system_score_gemma":0.0001551723,"threshold_uncertainty_score":0.35561},"labels":[],"label_agreement":null},{"id":"W3112377879","doi":"10.1002/alz.039485","title":"Towards a novel set of GPS‐derived metrics to identify the differences between mobility patterns of cognitively intact older adults and older adults with dementia","year":2020,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Baycrest Hospital; University of Toronto","funders":"","keywords":"Global Positioning System; Dementia; Set (abstract data type); Cognition; Gerontology; TRIPS architecture; Geography; Medicine; Computer science; Psychology; Telecommunications","score_opus":0.049806069925005844,"score_gpt":0.31143055924220486,"score_spread":0.261624489317199,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3112377879","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9901522,0.0034936324,0.003523745,0.0009161085,0.00007832125,0.0012468725,0.0004514619,0.000034997916,0.00010270505],"genre_scores_gemma":[0.9990721,0.000046952628,0.0004516368,0.00020477446,0.00010800964,0.00004853631,0.000049968137,0.000017122935,9.0560155e-7],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973984,0.0001709518,0.0006331696,0.00060977804,0.0007950416,0.00039266777],"domain_scores_gemma":[0.9985013,0.00019949005,0.00037985007,0.0002635648,0.00039920435,0.00025657204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059179566,0.00026413356,0.0004842763,0.00008362399,0.00024761903,0.00007838897,0.00059994217,0.00010705944,0.0003291029],"category_scores_gemma":[0.00008154204,0.00018765705,0.0001192088,0.0007298076,0.00039765908,0.00035070328,0.00016649335,0.00017857781,0.000002971284],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016064469,0.00016720222,0.9419001,0.00007165906,0.0031700835,0.0000012183167,0.034482304,2.420898e-7,0.00013881885,0.000021566828,0.00003358432,0.019852605],"study_design_scores_gemma":[0.0011684248,0.00018159469,0.9763951,0.00015684895,0.005258801,7.246222e-8,0.00918912,0.000011024749,0.007323888,0.000023402376,0.000058866382,0.00023287632],"about_ca_topic_score_codex":0.009739641,"about_ca_topic_score_gemma":0.0032935364,"teacher_disagreement_score":0.034495007,"about_ca_system_score_codex":0.000005850738,"about_ca_system_score_gemma":0.00012832272,"threshold_uncertainty_score":0.9968546},"labels":[],"label_agreement":null},{"id":"W3112635324","doi":"10.1016/b978-0-12-819822-3.00007-9","title":"Public transport equity outcomes through the lens of urban form","year":2020,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Polytechnique Montréal","funders":"","keywords":"Equity (law); Through-the-lens metering; Lens (geology); Business; Geography; Political science; Optics; Physics","score_opus":0.09810864933901058,"score_gpt":0.3159962092699393,"score_spread":0.21788755993092873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3112635324","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0003385768,0.0006603864,0.000009856732,0.0041810274,0.00045672213,0.00091770216,0.00016882819,0.00012627037,0.99314064],"genre_scores_gemma":[0.30372697,0.00008553587,0.000051486135,0.00084123417,0.00039022526,0.000020810097,0.00003615531,0.000047238365,0.6948003],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99697495,0.0000520136,0.00083649525,0.0005524641,0.0010786077,0.0005054471],"domain_scores_gemma":[0.9983102,0.0001340653,0.0004991735,0.00069698837,0.00019675758,0.00016283068],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00073303323,0.00043197628,0.00087999477,0.00004870267,0.0005380263,0.00006435596,0.0013407513,0.0004487853,0.00085619505],"category_scores_gemma":[0.00004254444,0.00029914768,0.0008231628,0.00004792165,0.0013880301,0.00030113882,0.00009603115,0.0006833519,0.00004862445],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026316276,0.000042466105,0.019985668,0.0002458507,0.00035819324,0.000018544266,0.024287662,5.23252e-8,0.000003038652,0.5130505,0.0005057443,0.441476],"study_design_scores_gemma":[0.00016434563,0.000028415596,0.0036271552,0.00006789535,0.00020010756,1.1555082e-7,0.00015421519,1.1517115e-7,0.00000608224,0.09210898,0.9033287,0.00031388563],"about_ca_topic_score_codex":0.00008135591,"about_ca_topic_score_gemma":0.0057606627,"teacher_disagreement_score":0.902823,"about_ca_system_score_codex":0.00011566583,"about_ca_system_score_gemma":0.00069321634,"threshold_uncertainty_score":0.99994606},"labels":[],"label_agreement":null},{"id":"W3112817524","doi":"10.1097/md.0000000000023552","title":"Perceived neighborhood safety and exercise behavior among community dwellers in Gauteng, South Africa","year":2020,"lang":"en","type":"article","venue":"Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"National Social Science Fund of China","keywords":"Medicine; Psychosocial; Confounding; Feeling; Quality of life (healthcare); Demography; Association (psychology); Odds; Odds ratio; Logistic regression; Gerontology; Environmental health; Social psychology; Psychology; Internal medicine; Psychiatry","score_opus":0.044236104250586716,"score_gpt":0.28519791055178967,"score_spread":0.24096180630120295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3112817524","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98284477,0.0003413825,0.00003862752,0.0037184448,0.00008529829,0.00034635817,0.000007877723,0.00006710887,0.012550137],"genre_scores_gemma":[0.99930143,0.000103503764,0.000018979934,0.00021176455,0.00012465086,0.000010073565,0.000012997418,0.000008230312,0.00020833685],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987808,0.00021687699,0.00027549916,0.00019696113,0.00027466853,0.0002551961],"domain_scores_gemma":[0.99935454,0.00008920755,0.00006258121,0.0001696079,0.000036161087,0.0002879159],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007214754,0.00011539683,0.00030401326,0.000045483834,0.00038839734,0.000014524091,0.0002646991,0.000088433386,0.0007302019],"category_scores_gemma":[0.00018608492,0.00009431685,0.000031878913,0.0003646773,0.0008074601,0.00015158375,0.00003592187,0.0004294357,0.0000056518625],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041185856,0.0000476771,0.7384924,0.000016935433,0.0000023063549,0.000011924098,0.25961953,5.4525213e-7,0.000029631246,0.000019797575,0.00012338044,0.0015946685],"study_design_scores_gemma":[0.00081911834,0.000060967697,0.9456237,0.00007401286,0.000050956423,3.4315224e-8,0.051813312,0.00003987898,0.0000032891862,0.00008059803,0.0013315348,0.00010257582],"about_ca_topic_score_codex":0.0069989595,"about_ca_topic_score_gemma":0.00449601,"teacher_disagreement_score":0.20780621,"about_ca_system_score_codex":0.000036296147,"about_ca_system_score_gemma":0.000048457256,"threshold_uncertainty_score":0.9996135},"labels":[],"label_agreement":null},{"id":"W3112848934","doi":"10.3390/ijerph17239150","title":"Realtors’ Perceptions of Social and Physical Neighborhood Characteristics Associated with Active Living: A Canadian Perspective","year":2020,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta; University of Calgary","funders":"Canadian Institutes of Health Research; Alberta Real Estate Foundation","keywords":"Walkability; Perception; Community design; Destinations; Perspective (graphical); Urban design; Psychology; Active living; Applied psychology; Geography; Social psychology; Sociology; Built environment; Physical activity; Engineering; Computer science; Architecture; Medicine; Civil engineering","score_opus":0.0696064286699474,"score_gpt":0.3882514531927363,"score_spread":0.31864502452278887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3112848934","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9658725,0.00003734671,0.000018975723,0.03263778,0.000027003824,0.00009443196,0.00022884608,0.0000023252787,0.0010807508],"genre_scores_gemma":[0.9991556,0.0002272785,0.000012053729,0.00022158549,0.00034228642,0.0000012969418,0.000010177659,0.000005158801,0.000024594077],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99834543,0.00026887297,0.00019248179,0.00012229808,0.000796482,0.0002744054],"domain_scores_gemma":[0.99865687,0.00020257266,0.00017722494,0.000025004909,0.00022700305,0.00071132387],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008047908,0.000057878275,0.00016184188,0.00012549874,0.00034369552,0.00007371563,0.00018422141,0.000040599207,0.000201388],"category_scores_gemma":[0.00048239817,0.000049925115,0.000032566186,0.00012530813,0.0006590296,0.00033920168,0.000029793493,0.00036083488,7.8829083e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000115982184,0.00069076184,0.81956214,0.0000070414453,0.00016938432,0.000018630466,0.16302446,7.080583e-8,0.000105837484,0.004307667,0.00012791103,0.011870093],"study_design_scores_gemma":[0.00021430555,0.0004286379,0.94511026,0.000019768027,0.0000033080148,0.0000012076715,0.053167038,0.000014830862,0.0000013852618,0.00045330913,0.0005450408,0.000040915904],"about_ca_topic_score_codex":0.016677437,"about_ca_topic_score_gemma":0.018412521,"teacher_disagreement_score":0.1255481,"about_ca_system_score_codex":0.0007929563,"about_ca_system_score_gemma":0.0013684217,"threshold_uncertainty_score":0.9994989},"labels":[],"label_agreement":null},{"id":"W3112937911","doi":"10.32866/001c.18202","title":"“<i>I wouldn’t want to get on the bus</i>”: Older Adult Public Transit Use and Challenges during the COVID-19 Pandemic","year":2020,"lang":"en","type":"article","venue":"Findings","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"McMaster University","keywords":"Public transport; Pandemic; Doors; Coronavirus disease 2019 (COVID-19); Transit (satellite); Transmission (telecommunications); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Business; Public relations; Transport engineering; Medicine; Political science; Engineering; Telecommunications","score_opus":0.13798513567179033,"score_gpt":0.30181513312324676,"score_spread":0.16382999745145643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3112937911","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7424985,0.0001695771,0.0000278563,0.25641948,0.00005459459,0.00035126228,0.000021523862,0.00008985537,0.00036734765],"genre_scores_gemma":[0.98445094,0.00054019544,0.000010026152,0.014567186,0.00017961195,0.00003103024,0.0000024461438,0.0000118578455,0.00020672874],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99858487,0.00013056323,0.0001708481,0.0003749153,0.0003694411,0.0003693418],"domain_scores_gemma":[0.9990336,0.00033676665,0.000043831456,0.00019111625,0.00004813986,0.00034655543],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057737046,0.00013752078,0.00014701745,0.000030571657,0.0010104701,0.00026352232,0.00044770763,0.0001043472,0.00023693356],"category_scores_gemma":[0.00060412183,0.000080196245,0.000066688975,0.000276044,0.0002481807,0.00030930867,0.000034295113,0.00029613005,0.000023967692],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009059509,0.000050851693,0.7291858,0.00011004121,0.000035784113,0.0000119494,0.25632596,0.0000047545354,0.00039692502,0.010404466,0.0022643304,0.0011185436],"study_design_scores_gemma":[0.00055600447,0.00006175933,0.7547236,0.000032673655,0.000029583412,0.0000011236738,0.013526099,0.00001191236,0.00015315169,0.0006005528,0.22999488,0.00030865287],"about_ca_topic_score_codex":0.0006947107,"about_ca_topic_score_gemma":0.004098941,"teacher_disagreement_score":0.24279986,"about_ca_system_score_codex":0.000071371,"about_ca_system_score_gemma":0.000092062895,"threshold_uncertainty_score":0.77718216},"labels":[],"label_agreement":null},{"id":"W3112977431","doi":"10.1155/2020/8843783","title":"Dynamic Scheduling Model of Bike-Sharing considering Invalid Demand","year":2020,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities; Natural Science Foundation of Jiangsu Province; Government of Jiangsu Province","keywords":"Computer science; Scheduling (production processes); Renting; Dynamic priority scheduling; Mathematical optimization; Pareto principle; Operations research; Quality of service; Engineering; Mathematics","score_opus":0.041903052532200384,"score_gpt":0.31339229619672376,"score_spread":0.27148924366452337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3112977431","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94279563,0.00027543848,0.056056723,0.000528129,0.000110371264,0.00009652269,0.000007573832,0.000017704615,0.000111920424],"genre_scores_gemma":[0.97159076,0.00015452446,0.028114239,0.0000685713,0.000048806487,8.192565e-7,0.000004746974,0.000009777937,0.000007760167],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99866694,0.000019899178,0.0006679126,0.00013517428,0.00036089818,0.00014917766],"domain_scores_gemma":[0.9989761,0.000043559518,0.0005418631,0.000060580165,0.0002394829,0.00013842787],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035623377,0.00008706106,0.00026204818,0.000064527965,0.000111835274,0.00001758737,0.00018038123,0.000057589506,0.000026531816],"category_scores_gemma":[0.00007514863,0.00008635264,0.0001344254,0.00022917817,0.00009189687,0.00088822696,0.0000017107235,0.00018453019,4.676479e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019443088,0.000045430224,0.11562769,0.00014699361,0.000037246173,0.000015458467,0.029961836,0.80208,0.049595598,0.00071406347,0.0000012949575,0.001580003],"study_design_scores_gemma":[0.008666027,0.00066929543,0.7154156,0.0015574152,0.0009157401,0.0000027125757,0.046201345,0.11849244,0.050382506,0.055783056,0.0005357764,0.0013780732],"about_ca_topic_score_codex":0.000025814565,"about_ca_topic_score_gemma":0.00047283122,"teacher_disagreement_score":0.6835875,"about_ca_system_score_codex":0.000034970824,"about_ca_system_score_gemma":0.000170979,"threshold_uncertainty_score":0.35213584},"labels":[],"label_agreement":null},{"id":"W3113021761","doi":"10.1155/2020/8850541","title":"CPT Model-Based Prediction of the Temporal and Spatial Distributions of Passenger Flow for Urban Rail Transit under Emergency Conditions","year":2020,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"State Key Laboratory of Rail Traffic Control and Safety; National Natural Science Foundation of China","keywords":"Urban rail transit; Transport engineering; Transit (satellite); Beijing; Computer science; Geographic information system; Public transport; Engineering; Geography","score_opus":0.023743260548573338,"score_gpt":0.2874689289371035,"score_spread":0.2637256683885302,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3113021761","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.61697465,0.00008605315,0.37987137,0.0016388003,0.0001706252,0.00024268018,0.0009980698,0.0000070240044,0.000010747066],"genre_scores_gemma":[0.9974654,0.000038981307,0.0022094348,0.000023553162,0.00010297502,0.0000069351413,0.00013858394,0.0000067338974,0.000007434374],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99880975,0.00003945092,0.00064133597,0.00010753671,0.0002965268,0.0001054179],"domain_scores_gemma":[0.9989236,0.000043686585,0.00047962868,0.000063092,0.00040181944,0.000088183726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018791434,0.00008129717,0.00020374736,0.000033560573,0.00020125695,0.000004847821,0.00010514493,0.000066744746,0.00004125886],"category_scores_gemma":[0.000035356745,0.00006581946,0.0002142614,0.00022315593,0.00017048047,0.0003648234,5.5536833e-7,0.00011216783,3.3349156e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012912747,0.000635932,0.47972187,0.00045705392,0.00018310471,0.0000017743193,0.029784063,0.42984974,0.04976828,0.006038032,0.00045732633,0.0018115218],"study_design_scores_gemma":[0.0019434155,0.00023279687,0.9733651,0.000073965995,0.00034819142,9.576708e-8,0.0018197318,0.009976166,0.0046828575,0.0071430127,0.0003061158,0.00010850216],"about_ca_topic_score_codex":0.00006690884,"about_ca_topic_score_gemma":0.0015516746,"teacher_disagreement_score":0.49364328,"about_ca_system_score_codex":0.000022695169,"about_ca_system_score_gemma":0.00024177808,"threshold_uncertainty_score":0.26840398},"labels":[],"label_agreement":null},{"id":"W3113167610","doi":"10.3390/su122410392","title":"Effect of Major Life Events on Travel Behaviours: A Scoping Review","year":2020,"lang":"en","type":"review","venue":"Sustainability","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"University of Lethbridge","keywords":"Relocation; Psychological intervention; Destinations; Travel behavior; Sustainable transport; PsycINFO; Built environment; Sustainability; Business; Psychology; MEDLINE; Political science; Transport engineering; Engineering","score_opus":0.03559720505894215,"score_gpt":0.42656750892753087,"score_spread":0.3909703038685887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3113167610","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0002524022,0.9886783,0.000008119741,0.00041170346,0.0002106787,0.009757841,0.000081989434,0.0000766678,0.0005222965],"genre_scores_gemma":[0.0015947093,0.99753135,0.0000058913356,0.000066201945,0.00019078542,0.00040182204,0.00006594841,0.000037307567,0.00010599731],"study_design_codex":"design_other","study_design_gemma":"systematic_review","domain_scores_codex":[0.99256814,0.0037914342,0.0013390866,0.0009081656,0.00080379844,0.0005894098],"domain_scores_gemma":[0.9964914,0.0011391246,0.0007593507,0.000795928,0.00040267326,0.00041153253],"candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.005830021,0.00053168647,0.0035914395,0.00009301398,0.0003204535,0.000027138198,0.00091405754,0.00040822083,0.0003474194],"category_scores_gemma":[0.008937241,0.0004123852,0.0014669199,0.0009775154,0.0004772624,0.00015841138,0.00007914735,0.00076876034,0.000015590911],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000207453,0.00011064499,0.0018110076,0.46427098,0.00003726358,0.000011389161,0.0002006538,1.2754484e-8,1.8328631e-9,0.000117909985,0.000070337715,0.53334904],"study_design_scores_gemma":[0.00048803916,0.00078297674,0.0007372878,0.8314922,0.004422672,4.243687e-7,0.00013598493,1.0013293e-7,0.0000018954307,0.0007950214,0.1601605,0.0009829229],"about_ca_topic_score_codex":0.0011967164,"about_ca_topic_score_gemma":0.00024074016,"teacher_disagreement_score":0.53236616,"about_ca_system_score_codex":0.001107729,"about_ca_system_score_gemma":0.006349967,"threshold_uncertainty_score":0.9998328},"labels":[],"label_agreement":null},{"id":"W3113177451","doi":"10.1016/j.healthplace.2020.102490","title":"Cross-sectional and prospective associations between active living environments and accelerometer-assessed physical activity in the EPIC-Norfolk cohort","year":2020,"lang":"en","type":"article","venue":"Health & Place","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Economic and Social Research Council; Medical Research Council; Canadian Institutes of Health Research; Centre for Diet and Activity Research; National Institute for Health and Care Research; United Kingdom Clinical Research Collaboration; NIHR Cambridge Biomedical Research Centre; Wellcome Trust; British Heart Foundation; Cancer Research UK","keywords":"Cohort; Physical activity; Cross-sectional study; Psychological intervention; Gerontology; EPIC; Prospective cohort study; Cohort study; Young adult; Demography; Population; Medicine; Psychology; Environmental health; Physical therapy","score_opus":0.05799975197609352,"score_gpt":0.37146550607820494,"score_spread":0.3134657541021114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3113177451","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99562943,0.000023679699,0.00009490315,0.0028572185,0.000033514614,0.0006858857,0.00010881692,0.000024003,0.0005425374],"genre_scores_gemma":[0.9993185,0.000032455857,0.000035160916,0.00026685992,0.00024293757,0.000037807415,0.000010738074,0.000006293825,0.000049240036],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984021,0.0003869819,0.00015743787,0.0003773985,0.00038226636,0.000293813],"domain_scores_gemma":[0.9986827,0.0009163272,0.0001512127,0.0000780485,0.00001607128,0.00015568794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009477849,0.000105234874,0.00022859071,0.000022814631,0.0007889809,0.00012757926,0.00013159144,0.00007645225,0.000027305025],"category_scores_gemma":[0.0002202257,0.00009102752,0.00003217941,0.0002462958,0.00021806652,0.0005137613,0.00003572934,0.00034991925,0.000002925434],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017069904,0.00012946333,0.98134583,0.000012682029,0.000016210328,6.154891e-7,0.017536215,0.0000011518815,0.00001615179,0.00006413924,0.000013317647,0.00084716047],"study_design_scores_gemma":[0.00019946125,0.000061685845,0.9986234,0.000006461101,0.0000089259875,6.2134006e-8,0.0005915889,0.00003340793,0.00002160617,0.00019118613,0.00017867103,0.00008355057],"about_ca_topic_score_codex":0.0030491925,"about_ca_topic_score_gemma":0.0011663934,"teacher_disagreement_score":0.01727757,"about_ca_system_score_codex":0.00029881208,"about_ca_system_score_gemma":0.00019215871,"threshold_uncertainty_score":0.6068283},"labels":[],"label_agreement":null},{"id":"W3113510752","doi":"10.1016/j.jth.2020.100972","title":"Perceptions of the environment moderate the effects of objectively-measured built environment attributes on active transport. An ACTI-Cités study","year":2020,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Conservatoire National des Arts et Métiers; Institut National Du Cancer; Institut de Veille Sanitaire; Ministère de la Santé; CNIB; Institut National de la Recherche Agronomique; Fondation pour la Recherche Médicale; Institut National de la Santé et de la Recherche Médicale; Institut National de Prévention et d'Éducation pour la Santé","keywords":"Perception; Moderation; Psychology; Demographics; Environmental health; Built environment; Applied psychology; Affect (linguistics); Transport engineering; Medicine; Demography; Social psychology; Engineering","score_opus":0.042998136067419854,"score_gpt":0.3094674767671955,"score_spread":0.2664693406997756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3113510752","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99246883,0.00023259256,0.0007757024,0.004768873,0.00018665602,0.0013857577,0.00011188457,0.000011399196,0.000058299727],"genre_scores_gemma":[0.9989578,0.00045073868,0.0000696712,0.00030414452,0.00014559228,0.000014206896,0.0000052400005,0.000020710848,0.000031907173],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99604934,0.0007266949,0.0010814768,0.00032280816,0.0014442016,0.0003754812],"domain_scores_gemma":[0.99794334,0.00018404584,0.0010600763,0.00036193564,0.00008491575,0.0003657096],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015231024,0.00024872244,0.00072125037,0.000058264675,0.00063176337,0.000009678532,0.0007306676,0.000104125946,0.00013257645],"category_scores_gemma":[0.000030489537,0.00015253092,0.0004607907,0.00025655236,0.00046871684,0.00034587795,0.000008046681,0.0006893762,0.0000013679276],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011031153,0.0038829693,0.8413478,0.00019617414,0.0002938327,0.000015811867,0.14306797,0.0028163542,0.0030951542,0.000045319226,0.000016670348,0.0041188225],"study_design_scores_gemma":[0.0011257962,0.0021663352,0.98219156,0.00008760467,0.00023447603,4.8050765e-7,0.011273256,0.0000116021,0.002405196,0.00010600504,0.00026606553,0.00013162763],"about_ca_topic_score_codex":0.0017249166,"about_ca_topic_score_gemma":0.0017812193,"teacher_disagreement_score":0.14084375,"about_ca_system_score_codex":0.00024054742,"about_ca_system_score_gemma":0.00063220505,"threshold_uncertainty_score":0.6220031},"labels":[],"label_agreement":null},{"id":"W3113565279","doi":"10.14288/1.0373877","title":"Mobility Patterns, Experiences, and Preferences of University Students : Evaluating University of British Columbia Students’ Use of Single Occupancy Vehicle and Major Public Transit Routes","year":2018,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Occupancy; Public transport; Transit (satellite); Transport engineering; Public university; Rapid transit; Mathematics education; Sociology; Psychology; Geography; Public administration; Political science; Engineering; Architectural engineering","score_opus":0.037111120509524566,"score_gpt":0.2513360050971045,"score_spread":0.21422488458757996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3113565279","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982863,0.00014417828,0.00009776377,0.000015912721,0.00006896179,0.0004945776,0.0007298791,0.00003465576,0.00012774327],"genre_scores_gemma":[0.9989522,0.00021036279,0.00030747696,0.0000037923953,0.000012704221,1.4239974e-7,0.000012469315,0.0000066688294,0.00049420237],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975669,0.00040999806,0.0002701266,0.0005941839,0.0008443881,0.00031443217],"domain_scores_gemma":[0.99819666,0.0001603263,0.00042741754,0.0002754491,0.0007339857,0.00020617727],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00093206216,0.00007082742,0.0005159423,0.00005028904,0.00064370956,0.00020624895,0.00083808874,0.00017161347,0.0004018543],"category_scores_gemma":[0.0000809162,0.00023932799,0.00011920359,0.0004980208,0.0030777664,0.0014322047,0.00027964858,0.00011663908,3.5560296e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055352084,0.0006819205,0.93774915,0.00018157129,0.00007778762,0.000018763414,0.010897205,1.7163619e-7,0.00026965735,4.4155297e-7,0.000073037285,0.049994953],"study_design_scores_gemma":[0.0014248266,0.00031858782,0.9125422,0.00028579036,0.00012485163,0.0000011897449,0.08499666,0.000016311757,0.00000557788,0.00005000282,0.0000492424,0.0001847441],"about_ca_topic_score_codex":0.82270736,"about_ca_topic_score_gemma":0.969119,"teacher_disagreement_score":0.14641164,"about_ca_system_score_codex":0.00008945087,"about_ca_system_score_gemma":0.00021483723,"threshold_uncertainty_score":0.9996353},"labels":[],"label_agreement":null},{"id":"W3114207716","doi":"10.1016/j.tbs.2020.12.004","title":"Who are the potential users of shared e-scooters? An examination of socio-demographic, attitudinal and environmental factors","year":2020,"lang":"en","type":"article","venue":"Travel Behaviour and Society","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":117,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Toronto Metropolitan University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"TRIPS architecture; Preference; Walkability; Logistic regression; Built environment; Transport engineering; Business; Ordered logit; Environmental health; Travel behavior; Psychology; Applied psychology; Engineering; Computer science; Economics; Medicine; Civil engineering","score_opus":0.031132772831873972,"score_gpt":0.2627787017556568,"score_spread":0.23164592892378286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3114207716","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991501,0.00011815461,0.0000892556,0.00023200286,0.000024430557,0.0001668704,0.00018086885,0.000011118831,0.00002720391],"genre_scores_gemma":[0.99961877,0.00017784756,0.000056119712,0.000040715255,0.000036360263,0.0000019916413,0.000044385182,0.000006031703,0.000017756773],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99911934,0.00007732237,0.00018132114,0.00020707647,0.0002768492,0.00013807422],"domain_scores_gemma":[0.9996479,0.000023305969,0.00012889809,0.000074958734,0.000019571406,0.00010536774],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002742682,0.00009812774,0.0001864601,0.000009581123,0.00034594085,0.000029879422,0.00013537191,0.000111925394,0.000063111045],"category_scores_gemma":[0.0000045181787,0.00007705306,0.00013136394,0.00008743523,0.0008804245,0.00026092,0.000020605612,0.0001238216,5.7768215e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008059831,0.000059609287,0.9244581,0.000019616953,0.000018814619,3.869298e-7,0.07353363,3.80881e-7,0.0014834508,0.000033353892,0.00001743803,0.00036714663],"study_design_scores_gemma":[0.00023841695,0.00005627996,0.882456,0.000007481902,0.00008296925,5.7120946e-8,0.11675456,0.000038711874,0.00026613034,0.000022530152,0.0000027813664,0.00007406696],"about_ca_topic_score_codex":0.00037781798,"about_ca_topic_score_gemma":0.000104325285,"teacher_disagreement_score":0.043220934,"about_ca_system_score_codex":0.000013609676,"about_ca_system_score_gemma":0.00001920276,"threshold_uncertainty_score":0.32439607},"labels":[],"label_agreement":null},{"id":"W3115197255","doi":"10.1093/geroni/igaa057.2335","title":"An International Comparison of the Community Mobility Patterns of Older Adults","year":2020,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Residence; Gerontology; Quality of life (healthcare); Older people; Cohort; Public transport; Psychology; Medicine; Demography; Sociology; Transport engineering; Nursing; Engineering","score_opus":0.058061967231089945,"score_gpt":0.37121541867363406,"score_spread":0.31315345144254414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3115197255","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971813,0.0000030332478,0.0007065218,0.0010355952,0.00012599315,0.00012446073,0.000012556466,0.000012785313,0.00079774816],"genre_scores_gemma":[0.9997415,4.139454e-7,0.000054240427,0.00014755139,0.000034423843,0.0000026224159,0.000014446259,0.0000019103818,0.000002874411],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999069,0.00016703903,0.0004100477,0.00007540139,0.00021819341,0.000060366325],"domain_scores_gemma":[0.9993687,0.000049360475,0.00021631327,0.00014491918,0.00020877729,0.000011881514],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007017738,0.000035052446,0.000089706984,0.000039190025,0.00009114838,0.0000106115485,0.00040118286,0.000029191773,0.000086444],"category_scores_gemma":[0.00014392636,0.0000300308,0.00001858091,0.0006450071,0.000102444625,0.00024109814,0.000026304302,0.00018695756,2.080063e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008685557,0.00015923777,0.93024015,0.000028710481,0.0000021023568,2.719167e-8,0.065803476,0.000029986606,0.0003139894,0.0012935194,0.0000042261295,0.002115896],"study_design_scores_gemma":[0.00016347866,0.0000066804637,0.9831996,0.000052307747,0.0000012319882,3.0826544e-9,0.012876295,0.00042110638,0.0029523105,0.00024367639,0.00005446424,0.000028829345],"about_ca_topic_score_codex":0.0062269,"about_ca_topic_score_gemma":0.0032493388,"teacher_disagreement_score":0.052959472,"about_ca_system_score_codex":0.000026311098,"about_ca_system_score_gemma":0.000039623592,"threshold_uncertainty_score":0.9413252},"labels":[],"label_agreement":null},{"id":"W3116297093","doi":"10.1177/0733464820979258","title":"Perceptions of the Neighborhood Built Environment for Walking Behavior in Older Adults Living in Close Proximity","year":2020,"lang":"en","type":"article","venue":"Journal of Applied Gerontology","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Institute of Aging; National Institute on Aging; Canadian Institutes of Health Research; Deutsche Forschungsgemeinschaft","keywords":"Perception; Built environment; Psychology; Gerontology; Aging in place; Assisted Living Facility; Medicine; Assisted living; Engineering","score_opus":0.024750784890131005,"score_gpt":0.2929160859752375,"score_spread":0.2681653010851065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3116297093","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99723804,0.000082202234,0.0004208335,0.0011112824,0.00008907691,0.00055035023,0.0000033201327,0.0000032953312,0.0005016161],"genre_scores_gemma":[0.9991772,0.000020554911,0.00053027243,0.00010710355,0.00011671754,0.000031081534,3.81366e-7,0.000005463188,0.000011207432],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988472,0.0000749943,0.00052531646,0.00014678655,0.00019360275,0.00021212857],"domain_scores_gemma":[0.9993543,0.0001269517,0.0003309245,0.00009425811,0.000027925289,0.00006565579],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054010266,0.00007806627,0.0002727814,0.000044632074,0.00008356293,0.000008100143,0.00031958288,0.0001148506,0.0001951856],"category_scores_gemma":[0.00006700282,0.0000598247,0.000115444,0.00011413936,0.00016262544,0.000123539,0.000028819437,0.00025640507,6.6493317e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017187155,0.00041198405,0.9402835,0.000029450825,0.0000068365803,0.0000030505892,0.043832544,0.000013921619,0.0008138096,0.00057597243,0.000017293294,0.013839798],"study_design_scores_gemma":[0.00066114624,0.00006116536,0.99079764,0.000035036297,0.000028705417,4.523556e-7,0.0076660556,0.00001829799,0.00009083281,0.00044878168,0.0001303034,0.0000616012],"about_ca_topic_score_codex":0.00025370182,"about_ca_topic_score_gemma":0.0075339098,"teacher_disagreement_score":0.050514154,"about_ca_system_score_codex":0.00010434817,"about_ca_system_score_gemma":0.000110839304,"threshold_uncertainty_score":0.42040986},"labels":[],"label_agreement":null},{"id":"W3116474425","doi":"10.5383/jttm.02.01.003","title":"Environmental Awareness and Inclination towards Walking: A Smartphone Application based study","year":2020,"lang":"en","type":"article","venue":"International Journal of Traffic and Transportation Management","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Pedestrian; Applied psychology; Perception; Psychology; Environmental health; Transport engineering; Medicine; Engineering","score_opus":0.017003061589099297,"score_gpt":0.2929161460341506,"score_spread":0.2759130844450513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3116474425","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9830787,0.00008626549,0.013709842,0.0025768543,0.00014281426,0.00026478604,0.000014040572,0.000017849929,0.000108802284],"genre_scores_gemma":[0.9990487,0.00009918509,0.00046734614,0.00020649037,0.00012037479,0.000008253406,0.00003019451,0.0000056577264,0.000013785556],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99876475,0.000046543097,0.00037256756,0.0001648088,0.0005736897,0.00007764314],"domain_scores_gemma":[0.9995514,0.000022657854,0.00021570304,0.000036603025,0.00007195524,0.00010168598],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036581198,0.00008283156,0.000119924895,0.000092057475,0.00012584768,0.000060682505,0.0001689054,0.000030090363,0.000051540323],"category_scores_gemma":[0.0000060666703,0.00008008247,0.000045825404,0.000087054665,0.000066245404,0.00029965537,0.0000046514715,0.000076909375,0.000001174034],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042763402,0.0008676218,0.71480864,0.000054835193,0.00028678775,0.000104047234,0.027953178,0.0020388567,0.0000526181,0.00095530984,0.000035892157,0.25241455],"study_design_scores_gemma":[0.0015148963,0.00009816395,0.9878813,0.000014171593,0.0001052882,2.2255783e-7,0.006902259,0.0010279383,0.000015886626,0.00008589199,0.00226382,0.000090138456],"about_ca_topic_score_codex":0.000043597593,"about_ca_topic_score_gemma":0.00021241832,"teacher_disagreement_score":0.27307266,"about_ca_system_score_codex":0.000042309974,"about_ca_system_score_gemma":0.000034109344,"threshold_uncertainty_score":0.32656685},"labels":[],"label_agreement":null},{"id":"W3116626272","doi":"10.1093/geroni/igaa057.1540","title":"Urban Environmental Barriers and Facilities to Mobility and Participation for Older Mobility Device Users","year":2020,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval; Simon Fraser University; University of British Columbia","funders":"","keywords":"Built environment; Photovoice; Audit; Aging in place; Psychology; Business; Applied psychology; Gerontology; Engineering; Medicine","score_opus":0.03991533982031749,"score_gpt":0.31553343376023013,"score_spread":0.27561809393991266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3116626272","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954952,0.000034770223,0.0012674346,0.00239859,0.00003842725,0.0005737654,0.00003666222,0.00003291161,0.00012226106],"genre_scores_gemma":[0.9988357,0.000002106855,0.00024387466,0.0007381622,0.000042044936,0.000082292994,0.000013404005,0.0000040267346,0.0000383863],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990542,0.000049217128,0.00030139557,0.00028861003,0.00013476748,0.0001718069],"domain_scores_gemma":[0.9996785,0.00008195393,0.000052697786,0.000059626553,0.00003332304,0.00009389629],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007404117,0.000073265284,0.000104816434,0.000051928077,0.00021855268,0.00005663748,0.000057540008,0.00003792215,0.00006112356],"category_scores_gemma":[0.0003198426,0.00008044689,0.0000116426145,0.00037816542,0.00017076758,0.00038905934,0.000018775092,0.00006603354,7.6854656e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018828654,0.000016240809,0.94814193,0.00004916991,0.000002589741,1.4732292e-7,0.048181318,0.0000119126735,0.00052934507,0.0006102163,0.000051555337,0.00238676],"study_design_scores_gemma":[0.00028164193,0.000019050143,0.9751946,0.000009851365,0.000004773663,1.4182006e-8,0.01784897,0.0003466451,0.0005429484,0.0005930128,0.005045853,0.000112674985],"about_ca_topic_score_codex":0.0004833432,"about_ca_topic_score_gemma":0.00052322756,"teacher_disagreement_score":0.030332346,"about_ca_system_score_codex":0.00007501901,"about_ca_system_score_gemma":0.000038909988,"threshold_uncertainty_score":0.3280529},"labels":[],"label_agreement":null},{"id":"W3117043051","doi":"10.5383/jttm.02.02.005","title":"An iterative k-means clustering approach for identification of bicycle impediments in an urban traffic network","year":2020,"lang":"en","type":"article","venue":"International Journal of Traffic and Transportation Management","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cluster analysis; Outlier; Identification (biology); Computer science; Robustness (evolution); Data mining; Transport engineering; Engineering; Machine learning; Artificial intelligence","score_opus":0.024372042973707927,"score_gpt":0.3163114652121677,"score_spread":0.29193942223845976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3117043051","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.921153,0.000067143745,0.07779692,0.00035032246,0.00020088954,0.00032746053,0.000030598865,0.00001330724,0.000060322443],"genre_scores_gemma":[0.99448943,0.000053407985,0.0049658264,0.00008008947,0.0002626181,0.000010697509,0.00011646621,0.000008112104,0.000013344707],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.998515,0.00005924114,0.0007009878,0.00019049636,0.00040614468,0.0001281491],"domain_scores_gemma":[0.99922156,0.000023238348,0.00038098916,0.00005271575,0.00021244623,0.00010902215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005807361,0.00009062354,0.00016887761,0.00011959066,0.00007552539,0.00007334794,0.0003053045,0.00004229181,0.000015182514],"category_scores_gemma":[0.0000051866514,0.00009080747,0.00007732604,0.00016545801,0.00007031665,0.00079013855,0.0000022319634,0.00007743019,1.4472349e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009808872,0.0008164558,0.10656086,0.00016357962,0.00026438158,0.000023033315,0.07186092,0.76365286,0.00014277892,0.0017371292,0.00007138072,0.05372572],"study_design_scores_gemma":[0.0036253075,0.0004724213,0.7467015,0.00010467779,0.00021752212,4.8384913e-7,0.020013146,0.22764385,0.00007458797,0.00023174597,0.0006110004,0.00030380423],"about_ca_topic_score_codex":0.00001427821,"about_ca_topic_score_gemma":0.0003149349,"teacher_disagreement_score":0.6401406,"about_ca_system_score_codex":0.000036960315,"about_ca_system_score_gemma":0.000031499283,"threshold_uncertainty_score":0.3703021},"labels":[],"label_agreement":null},{"id":"W3117458145","doi":"10.1016/j.trip.2020.100292","title":"COVID-19: Are you satisfied with traveling during the pandemic?","year":2020,"lang":"en","type":"article","venue":"Transportation Research Interdisciplinary Perspectives","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"University of British Columbia","keywords":"Ordered logit; Psychology; Population; Pandemic; Logistic regression; Discrete choice; Coronavirus disease 2019 (COVID-19); Demography; Logit; Yield (engineering); Demographic economics; Geography; Econometrics; Statistics; Medicine; Economics; Mathematics; Sociology; Disease","score_opus":0.10847442322957694,"score_gpt":0.43241161531603756,"score_spread":0.3239371920864606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3117458145","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9384657,0.0003275969,0.0013234391,0.055869136,0.000038731407,0.0007756022,0.0000745397,0.00023019532,0.0028950467],"genre_scores_gemma":[0.9985404,0.00011468665,0.00011169244,0.00019483943,0.00034114046,0.0000921599,0.000019224432,0.000024266561,0.0005615892],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9969015,0.0004212195,0.00032960353,0.00066143094,0.0011036913,0.00058251363],"domain_scores_gemma":[0.998237,0.0003155065,0.000113379385,0.0002449333,0.00036041142,0.0007287684],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012365037,0.00018119455,0.0002322633,0.00009457291,0.0028255957,0.00015600809,0.0006198057,0.00009853285,0.0014686466],"category_scores_gemma":[0.0002452887,0.00012660392,0.00012519547,0.0010232405,0.0015922437,0.00051083666,0.00002808102,0.00075902796,0.000020963133],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00080690987,0.0000833766,0.47474688,0.00011099315,0.000055396667,0.00007896703,0.5211222,0.0002134481,0.00030366422,0.0020800305,0.00023747764,0.00016063219],"study_design_scores_gemma":[0.0004640726,0.00009007005,0.5703359,0.000029805362,0.000015211956,2.8562218e-7,0.426839,0.00003132747,0.000042542793,0.0011577826,0.0008544893,0.00013947266],"about_ca_topic_score_codex":0.0014164803,"about_ca_topic_score_gemma":0.039108336,"teacher_disagreement_score":0.095589064,"about_ca_system_score_codex":0.0003560997,"about_ca_system_score_gemma":0.00069472124,"threshold_uncertainty_score":0.9994441},"labels":[],"label_agreement":null},{"id":"W3117721451","doi":"10.3389/fpubh.2020.564533","title":"Everyday Walking Among Older Adults and the Neighborhood Built Environment: A Comparison Between Two Cities in North America","year":2020,"lang":"en","type":"article","venue":"Frontiers in Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"Canadian Institutes of Health Research; Deutsche Forschungsgemeinschaft","keywords":"Recreation; Level design; Built environment; Metropolitan area; Pedestrian; Population; Gerontology; Walkability; Geography; Travel behavior; Poison control; Physical activity; Transport engineering; Environmental health; Medicine; Physical medicine and rehabilitation; Engineering; Computer science; Ecology","score_opus":0.02713826203150722,"score_gpt":0.2795870921962987,"score_spread":0.25244883016479147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3117721451","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.967499,0.0013939186,0.0044605224,0.02451234,0.00018566706,0.0007541285,0.000022995744,0.000048340466,0.001123043],"genre_scores_gemma":[0.99749285,0.000382294,0.0004657587,0.0013652174,0.00018850782,0.000035315163,0.000031527507,0.000011504804,0.00002702172],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973219,0.00066442246,0.00055190054,0.0004109783,0.0004013836,0.0006494147],"domain_scores_gemma":[0.9991058,0.00013331807,0.00021912715,0.00017602668,0.000013969469,0.00035174063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012021578,0.00015201427,0.00051430427,0.0001031079,0.00035455215,0.00012065787,0.00040916886,0.000068480236,0.000058903046],"category_scores_gemma":[0.00012636348,0.00012410575,0.000052435968,0.00067356834,0.00088604266,0.0004949239,0.000058309448,0.00043422816,0.0000020195716],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019503232,0.00003374036,0.8322644,0.000028568056,0.000009363798,0.0000010961932,0.10726556,0.00000518194,4.7391255e-9,0.00005848947,0.00074430415,0.05956974],"study_design_scores_gemma":[0.0014802928,0.000024582196,0.96105176,0.000025384825,0.0000046179243,1.3206298e-8,0.02566926,0.0009662706,1.01929494e-7,0.00025118835,0.010396674,0.00012987382],"about_ca_topic_score_codex":0.015815409,"about_ca_topic_score_gemma":0.013695856,"teacher_disagreement_score":0.1287873,"about_ca_system_score_codex":0.00022540681,"about_ca_system_score_gemma":0.00030609654,"threshold_uncertainty_score":0.99073833},"labels":[],"label_agreement":null},{"id":"W3119639190","doi":"10.1680/jensu.20.00058","title":"Developing sustainable transportation for university trips in low-income countries","year":2021,"lang":"en","type":"article","venue":"Proceedings of the Institution of Civil Engineers - Engineering Sustainability","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"TRIPS architecture; Sustainable transport; Taxis; Transport engineering; Developing country; Business; Traffic congestion; Sustainable development; Mode of transport; Service (business); Public transport; Environmental economics; Marketing; Sustainability; Economic growth; Engineering; Economics; Political science","score_opus":0.006050837087863086,"score_gpt":0.22723980313079384,"score_spread":0.22118896604293076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3119639190","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98642296,0.00010483234,0.011045648,0.0009839652,0.00017199837,0.0007226301,0.000019519102,0.0000719332,0.00045653473],"genre_scores_gemma":[0.9988686,0.000023761932,0.0007616799,0.00000486959,0.000027876851,0.000012923679,0.0000041307094,0.000008694346,0.0002874704],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9986545,0.000013292924,0.00040831455,0.0002470504,0.0003011352,0.00037570007],"domain_scores_gemma":[0.9977671,0.0001224569,0.00015088684,0.00011132151,0.0017916434,0.000056629164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011561686,0.00014101826,0.00029025396,0.00016359614,0.00022238572,0.000022564678,0.00032230082,0.00013720998,0.000007680247],"category_scores_gemma":[0.0016183079,0.00014588187,0.00015547243,0.0011749621,0.00029549206,0.0007100266,0.00002060375,0.00017289561,4.684023e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011226,0.00008832045,0.18090403,0.0069712983,0.00003104089,0.000003608352,0.006010929,0.028399043,0.00016505903,0.77725434,0.0000135391765,0.000046536545],"study_design_scores_gemma":[0.0029589368,0.00006974624,0.8522228,0.0011906512,0.00016746926,8.2642765e-7,0.057939578,0.0028101313,0.03016662,0.024183465,0.027407138,0.0008826276],"about_ca_topic_score_codex":0.000614627,"about_ca_topic_score_gemma":0.00086135184,"teacher_disagreement_score":0.7530709,"about_ca_system_score_codex":0.0011798257,"about_ca_system_score_gemma":0.0013110875,"threshold_uncertainty_score":0.594889},"labels":[],"label_agreement":null},{"id":"W3119781256","doi":"10.1093/imaman/dpaa028","title":"Bayesian spatio-temporal modelling and prediction of areal demands for ambulance services","year":2020,"lang":"en","type":"article","venue":"IMA Journal of Management Mathematics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"HEC Montréal; Université Laval","funders":"","keywords":"Computer science; Markov chain Monte Carlo; Bayesian inference; Bayesian probability; Flexibility (engineering); Inference; Service (business); Data mining; Operations research; Statistics; Artificial intelligence; Mathematics","score_opus":0.03679343606554815,"score_gpt":0.2786698479899976,"score_spread":0.24187641192444947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3119781256","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.443762,0.00014693072,0.55376405,0.00073078583,0.00006436748,0.00026681743,0.000012834722,0.000012135859,0.001240089],"genre_scores_gemma":[0.9509384,0.000116509524,0.04871828,0.00004581315,0.00013305145,0.0000020151574,0.000003263523,0.0000059826198,0.000036668596],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990605,0.000017052318,0.00044893223,0.00007929238,0.00028986303,0.00010437402],"domain_scores_gemma":[0.999263,0.000041754778,0.00044864137,0.000058000463,0.00011349844,0.000075123804],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056726066,0.00006588069,0.00019713772,0.00004256534,0.00009374138,0.00004163386,0.00016762747,0.000030662253,0.000016973992],"category_scores_gemma":[0.0000099107265,0.000056935412,0.000065066415,0.00009738683,0.000053909607,0.0002936955,0.000015103798,0.00005091561,2.2853992e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009066107,0.0012694083,0.7272254,0.025938192,0.0011399423,0.000058767182,0.16346508,0.019945623,0.000100476675,0.04468144,0.0020507413,0.0132182725],"study_design_scores_gemma":[0.0041634487,0.00074519654,0.020966675,0.0014516729,0.0012143466,0.000003156632,0.033954058,0.76577765,0.00047831764,0.16020697,0.010539007,0.0004995295],"about_ca_topic_score_codex":0.00001909759,"about_ca_topic_score_gemma":0.00004147756,"teacher_disagreement_score":0.745832,"about_ca_system_score_codex":0.000013749946,"about_ca_system_score_gemma":0.000016496266,"threshold_uncertainty_score":0.23217587},"labels":[],"label_agreement":null},{"id":"W3120799191","doi":"10.3390/su13020512","title":"Predicting Bicycle-on-Board Transit Choice in a University Environment","year":2021,"lang":"en","type":"article","venue":"Sustainability","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Respondent; Mode choice; Walkability; Preference; Population; Travel behavior; Transport engineering; Mode (computer interface); Public transport; Psychological intervention; Geography; Marketing; Business; Psychology; Built environment; Engineering; Computer science; Sociology; Political science; Statistics; Demography; Mathematics","score_opus":0.010351576876595957,"score_gpt":0.25929275090966686,"score_spread":0.2489411740330709,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3120799191","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98781574,0.000039745348,0.00012688871,0.0041545825,0.00006686808,0.00032352546,0.000010049154,0.00008823922,0.007374365],"genre_scores_gemma":[0.9987028,0.000008346401,0.000050485727,0.00006077302,0.00006286045,0.0000032352425,0.0000051435327,0.0000052596884,0.0011010581],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981299,0.0005092504,0.00018514469,0.0004631371,0.00031557877,0.00039698058],"domain_scores_gemma":[0.9991023,0.00027469816,0.000041699357,0.00031998148,0.0001299509,0.000131373],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008956464,0.00010401552,0.00016822128,0.000050054572,0.00041691813,0.000029100307,0.00020612252,0.000109668305,0.0003429573],"category_scores_gemma":[0.0006631147,0.000118444535,0.00010006599,0.00043197718,0.00036329447,0.00024667897,0.000030213294,0.0002807963,0.0000055136634],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035734734,0.0002679706,0.9910056,0.00003753706,0.0000052224264,0.00006853102,0.005040751,0.00017954965,0.0000054983966,0.001197893,0.000014463711,0.0021412405],"study_design_scores_gemma":[0.0003537393,0.000018585011,0.96998096,0.000008083264,0.000010447421,3.491384e-8,0.012027681,0.000036598794,0.00005430305,0.0038223134,0.0135664595,0.00012077052],"about_ca_topic_score_codex":0.012403615,"about_ca_topic_score_gemma":0.028659998,"teacher_disagreement_score":0.021024624,"about_ca_system_score_codex":0.0015920424,"about_ca_system_score_gemma":0.00077592744,"threshold_uncertainty_score":0.9941729},"labels":[],"label_agreement":null},{"id":"W3121244967","doi":"","title":"Urban Growth and Transportation","year":2008,"lang":"en","type":"article","venue":"ScholarlyCommons (University of Pennsylvania)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Stock (firearms); Instrumental variable; Estimation; Public transport; Population; Population growth; Business; Geography; Agricultural economics; Economics; Transport engineering; Econometrics; Engineering; Demography","score_opus":0.021965510617136242,"score_gpt":0.22895061254063057,"score_spread":0.2069851019234943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121244967","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98401195,0.00015828332,0.00036165665,0.00074994087,0.00005814172,0.00013143485,0.00003281884,0.00007031053,0.014425472],"genre_scores_gemma":[0.99771804,0.00018671434,0.0010567643,0.00002145765,0.000029957502,1.2542604e-7,0.00001627531,0.000005492235,0.0009651978],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991163,0.00008786835,0.000103757025,0.00021969089,0.00027977733,0.00019260442],"domain_scores_gemma":[0.9994529,0.00005011166,0.000086604894,0.00014645376,0.00010567182,0.00015826571],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002445662,0.00008284422,0.00016916214,0.00010531191,0.0010883271,0.000019994943,0.00030241933,0.00010518032,0.00024844363],"category_scores_gemma":[0.000027517393,0.00010864664,0.00008156526,0.00033363854,0.00073891797,0.0013728351,0.000012215411,0.00019519342,0.00001065605],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035409175,0.000068981695,0.9715148,0.000015658512,0.0000146863695,0.000036043766,0.020145932,1.3196292e-7,0.0004991621,0.006617424,0.000681285,0.0003704444],"study_design_scores_gemma":[0.00042618558,0.000031143303,0.9852895,0.00001060968,0.000035329747,5.24959e-7,0.0050292453,0.0000023066475,0.00006049566,0.0007039768,0.0082787825,0.00013187763],"about_ca_topic_score_codex":0.007993782,"about_ca_topic_score_gemma":0.01351733,"teacher_disagreement_score":0.015116686,"about_ca_system_score_codex":0.00002371975,"about_ca_system_score_gemma":0.000108054795,"threshold_uncertainty_score":0.99861205},"labels":[],"label_agreement":null},{"id":"W312141268","doi":"10.71781/572","title":"Potential of built environment interventions involving deployment of public bicycles to increase utilitarian cycling : the case of BIXI in Montreal, Quebec","year":2012,"lang":"en","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Software deployment; Cycling; Psychological intervention; Psychology; Engineering; Geography; Psychiatry; Forestry","score_opus":0.016342332315776732,"score_gpt":0.23362475733858365,"score_spread":0.21728242502280692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W312141268","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9874614,0.009134843,0.00009008752,0.00013640648,0.00027906333,0.00048936927,0.0000862708,0.000015432559,0.0023071594],"genre_scores_gemma":[0.99706477,0.00015879703,0.00012769476,0.0000048800816,0.00005367117,0.000019610754,0.00010858111,0.000011170699,0.0024507986],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979077,0.00029745954,0.0007079049,0.00030864944,0.00047669705,0.00030160928],"domain_scores_gemma":[0.99859124,0.000112056485,0.00059384416,0.0003370356,0.00015150564,0.00021431768],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0007589148,0.00020172396,0.00037774045,0.00038302597,0.0016054237,0.000018486418,0.00044248972,0.00022409075,0.000088726745],"category_scores_gemma":[0.000096548676,0.00019555239,0.00038536277,0.00033858503,0.0004032677,0.00038870904,0.00009644732,0.00021025591,0.000001860051],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007855011,0.002213206,0.75989467,0.00091192464,0.0005481532,0.0012520483,0.1838952,0.0013212129,0.016531104,0.011444555,0.000068480236,0.021133916],"study_design_scores_gemma":[0.00042209434,0.000040418905,0.86815757,0.00040154607,0.00032491473,0.0000143620155,0.12782101,0.00007069757,0.0018779497,0.00032466627,0.0003319678,0.00021278918],"about_ca_topic_score_codex":0.922919,"about_ca_topic_score_gemma":0.95368904,"teacher_disagreement_score":0.10826288,"about_ca_system_score_codex":0.001673413,"about_ca_system_score_gemma":0.00091895583,"threshold_uncertainty_score":0.99969435},"labels":[],"label_agreement":null},{"id":"W3121631214","doi":"","title":"Public Bikesharing in North America: Early Operator Understanding and Emerging Trends","year":2013,"lang":"en","type":"preprint","venue":"eScholarship (California Digital Library)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Public transport; Transport engineering; Position (finance); Business; Geography; Engineering; Finance","score_opus":0.05795953382498149,"score_gpt":0.2598851375581803,"score_spread":0.20192560373319884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121631214","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9603889,0.00051743566,0.000102463484,0.0017630357,0.00025899816,0.00038555413,0.0013681821,0.0004066172,0.034808792],"genre_scores_gemma":[0.99719715,0.00010979568,0.00021500317,0.00020642021,0.000283088,0.00006110557,0.00092406065,0.00008480007,0.0009185806],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99642456,0.00018124556,0.00074306026,0.001072578,0.00062873657,0.0009498041],"domain_scores_gemma":[0.9984437,0.00012384047,0.0002745038,0.00047424177,0.000045708864,0.0006379625],"candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00032636788,0.0005057472,0.00060471485,0.0006777046,0.00051471125,0.007792699,0.001019048,0.00042772634,0.001091721],"category_scores_gemma":[0.00019487395,0.00050533126,0.00020738952,0.0014205378,0.00049137196,0.00826895,0.00081219274,0.001526925,0.00018373715],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014514739,0.00008703837,0.9877638,0.00007339604,0.000033547018,0.000027452135,0.00097105716,0.000004459731,0.0000013647045,0.0013040035,0.00017004141,0.0095493],"study_design_scores_gemma":[0.00081303535,0.00005347116,0.88324064,0.00038527575,0.00004808094,6.582184e-7,0.002121968,0.00017045866,0.000013906267,0.035135355,0.07611485,0.0019023248],"about_ca_topic_score_codex":0.0005905676,"about_ca_topic_score_gemma":0.0011677906,"teacher_disagreement_score":0.10452321,"about_ca_system_score_codex":0.0002612387,"about_ca_system_score_gemma":0.0003756964,"threshold_uncertainty_score":0.9998214},"labels":[],"label_agreement":null},{"id":"W3121853442","doi":"","title":"Poisson Models with Employer-Employee Unobserved Heterogeneity: An Application to Absence Data","year":2007,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Econometrics; Poisson distribution; Economics; Distribution (mathematics); Parametric statistics; Dirichlet distribution; Estimation; Mathematics; Statistics","score_opus":0.14750973320671287,"score_gpt":0.4082780604941096,"score_spread":0.26076832728739674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121853442","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98155653,0.00007128895,0.0008308353,0.0004334362,0.00014067767,0.0018782134,0.00022838899,0.00012625763,0.014734365],"genre_scores_gemma":[0.9939273,0.00095932034,0.0034614133,0.00012534566,0.00035710362,0.0002174497,0.00054015266,0.00006667131,0.00034524102],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9950248,0.0003731808,0.00068417285,0.0020780351,0.0007190161,0.0011208169],"domain_scores_gemma":[0.9953129,0.00024751882,0.00019286384,0.0033656177,0.00026866407,0.0006124161],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.005969524,0.00033284206,0.0005262166,0.00036329892,0.00046686298,0.00036078336,0.003559798,0.0005336707,0.00003360399],"category_scores_gemma":[0.00015064602,0.0003466385,0.00007883121,0.0003897914,0.0005852606,0.0007941654,0.0011298371,0.0012315465,0.000011386821],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046187764,0.00049044995,0.7788514,0.00016594319,0.000092269904,0.00003360185,0.004345533,0.026247365,0.000112551475,0.00095338264,0.000037420126,0.18820822],"study_design_scores_gemma":[0.0018197242,0.00061714055,0.87270856,0.00076427043,0.00008121724,0.0000024845956,0.0068710637,0.044181976,0.0006679233,0.029259421,0.03936551,0.0036607203],"about_ca_topic_score_codex":0.012289183,"about_ca_topic_score_gemma":0.21484707,"teacher_disagreement_score":0.20255789,"about_ca_system_score_codex":0.00095380016,"about_ca_system_score_gemma":0.0012667353,"threshold_uncertainty_score":0.99989855},"labels":[],"label_agreement":null},{"id":"W3121946366","doi":"","title":"Place Rank: Valuing Spatial Interactions","year":2010,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Rank (graph theory); Destinations; Attractiveness; Metropolitan area; Measure (data warehouse); Geography; Regional science; Advertising; Marketing; Economic geography; Business; Computer science; Tourism; Mathematics; Psychology; Combinatorics; Data mining","score_opus":0.04601169592827933,"score_gpt":0.3771333802651506,"score_spread":0.3311216843368713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121946366","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7387188,0.0000378322,0.00001335891,0.00088423485,0.001849343,0.0006283928,0.000039713774,0.000067241104,0.25776106],"genre_scores_gemma":[0.9907208,0.0012091709,0.00035666002,0.000035984194,0.0011711856,0.00012973661,0.000050486608,0.000034640056,0.006291355],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9968973,0.00044225293,0.0005705842,0.0008627994,0.00039980075,0.0008272999],"domain_scores_gemma":[0.9978643,0.0007478422,0.00017812663,0.0007807662,0.00016286827,0.00026611786],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0037302515,0.00022380987,0.00040971357,0.00035271223,0.0006391865,0.00034320887,0.0010593829,0.0005873428,0.0012514695],"category_scores_gemma":[0.000796054,0.00025492482,0.0002249814,0.00014021245,0.0008145456,0.0002524271,0.0004556988,0.003932182,0.000028300465],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032297993,0.00063804974,0.33200186,0.00024105077,0.00015593492,0.00006367012,0.018813878,0.0023697033,0.0003396052,0.0013902271,0.00029259786,0.64337045],"study_design_scores_gemma":[0.0019258414,0.00008947019,0.2290279,0.00072938093,0.00006305689,0.0000023944772,0.011794394,0.011463437,0.00049153576,0.019382533,0.72290486,0.0021251712],"about_ca_topic_score_codex":0.012260707,"about_ca_topic_score_gemma":0.19199578,"teacher_disagreement_score":0.7226123,"about_ca_system_score_codex":0.0009165835,"about_ca_system_score_gemma":0.0016387681,"threshold_uncertainty_score":0.9999903},"labels":[],"label_agreement":null},{"id":"W3122134838","doi":"10.1016/j.jeem.2021.102427","title":"On the effects of COVID-19 safer-at-home policies on social distancing, car crashes and pollution","year":2021,"lang":"en","type":"article","venue":"Journal of Environmental Economics and Management","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"SAFER; Social distance; Residence; Coronavirus disease 2019 (COVID-19); TRIPS architecture; Business; Pollution; Air pollution; Air quality index; Geography; Environmental health; Demographic economics; Computer security; Transport engineering; Economics; Engineering; Computer science; Medicine; Meteorology","score_opus":0.01042648747435983,"score_gpt":0.23597678458147042,"score_spread":0.22555029710711058,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122134838","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99385947,0.00033050167,0.000011051212,0.0039842264,0.00012581488,0.00010900683,0.00001655026,0.0000014985967,0.0015618701],"genre_scores_gemma":[0.993169,0.005596621,0.000011450461,0.00081885944,0.0000657423,0.0000014843545,0.0000012216232,0.0000037853133,0.00033183204],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99945587,0.000050379276,0.00019591997,0.000101004756,0.00009635917,0.00010044574],"domain_scores_gemma":[0.9996093,0.000071357514,0.00018353236,0.000058439527,0.0000022638048,0.000075090065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028091413,0.00006760848,0.00013586445,0.000031518775,0.00032720933,0.00003131268,0.000072642084,0.000028160033,0.000062228646],"category_scores_gemma":[0.0000124715125,0.000052494783,0.00006234762,0.000021011883,0.00023647335,0.00007293439,0.000044046108,0.00005302761,7.5524173e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001030691,0.0018927495,0.2810994,0.0010009332,0.0011978166,0.00018625161,0.040098,0.00058234995,0.004534295,0.63073015,0.0074057113,0.030241597],"study_design_scores_gemma":[0.0008524597,0.0001646961,0.9433534,0.000029252906,0.00009179806,0.0000011720109,0.005676362,0.000005097041,0.0005374945,0.008345536,0.040817466,0.00012526296],"about_ca_topic_score_codex":0.00006342657,"about_ca_topic_score_gemma":0.00035221386,"teacher_disagreement_score":0.662254,"about_ca_system_score_codex":0.00028342605,"about_ca_system_score_gemma":0.000018833502,"threshold_uncertainty_score":0.25166628},"labels":[],"label_agreement":null},{"id":"W3122498909","doi":"10.1177/0361198120988006","title":"Exploring Travel Behavior of Households with Pre-School Aged Children","year":2021,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"TRIPS architecture; Mode choice; Work (physics); Child care; Travel behavior; Travel survey; Business; Transport engineering; Psychology; Public transport; Medicine; Engineering; Nursing","score_opus":0.19461863160092646,"score_gpt":0.40227131347126943,"score_spread":0.20765268187034297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122498909","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996102,0.00025104336,0.0004972629,0.0012467082,0.00031059104,0.0011254392,0.00010645333,0.000029540433,0.00033097056],"genre_scores_gemma":[0.99573976,0.001500284,0.0013604866,0.00002091714,0.00026307878,0.00012652793,0.000028449515,0.000054798915,0.00090567046],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98976284,0.0017263773,0.0015065722,0.00050261396,0.005506293,0.0009953175],"domain_scores_gemma":[0.9928521,0.0006648093,0.0005516421,0.0006035225,0.0046915323,0.0006363909],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005353259,0.00025011195,0.00059223385,0.00054444745,0.0010863233,0.00015853395,0.0012916096,0.00019312759,0.00079254276],"category_scores_gemma":[0.00025187724,0.00018981879,0.00047871427,0.0033287765,0.0014520489,0.0015584859,0.000006366061,0.0022948242,0.0000053454355],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00097174605,0.0005417143,0.98089695,0.00012194642,0.00014331238,0.0001584427,0.010169474,0.00014108549,0.0037321353,0.0005365156,0.0003451545,0.0022415386],"study_design_scores_gemma":[0.00148577,0.0003491093,0.9828184,0.00034795378,0.00012941909,3.5530581e-7,0.0070150117,0.0000014915697,0.0064513194,0.00045208045,0.0007517062,0.00019734765],"about_ca_topic_score_codex":0.038356423,"about_ca_topic_score_gemma":0.23010786,"teacher_disagreement_score":0.19175144,"about_ca_system_score_codex":0.00024588348,"about_ca_system_score_gemma":0.0026145726,"threshold_uncertainty_score":0.99699974},"labels":[],"label_agreement":null},{"id":"W3122540557","doi":"10.2139/ssrn.3453262","title":"Urban Bike Lane Planning with Bike Trajectories: Models, Algorithms, and a Real-World Case Study","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Transport engineering; Algorithm; Geography; Engineering","score_opus":0.03186562852420155,"score_gpt":0.32256154994686237,"score_spread":0.2906959214226608,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122540557","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99283075,0.0009913453,0.0018281285,0.00015049995,0.0001585758,0.00029816147,0.0000044869844,0.00008459767,0.0036534392],"genre_scores_gemma":[0.99631923,0.0002813012,0.00015129977,0.000026512032,0.0011440633,0.0000071406607,0.0000019100864,0.000023827812,0.00204471],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9969004,0.00018081591,0.00030215873,0.00035551668,0.00046713132,0.0017940233],"domain_scores_gemma":[0.9992198,0.00006110721,0.00016165868,0.00017900435,0.00016105684,0.00021739831],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0022690543,0.00020093276,0.0002662064,0.00016040418,0.0014360071,0.00018903759,0.00025643935,0.000069173446,0.00003419585],"category_scores_gemma":[0.000014564025,0.00015462177,0.00004793616,0.00056122016,0.0003651747,0.0006009278,0.000018123932,0.0010360202,0.0000021742694],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018854506,0.00028786802,0.9350381,0.000006696097,0.0002263949,0.00077989924,0.050192937,0.0000063991574,0.0000052446376,0.007847957,0.00012847838,0.0052914754],"study_design_scores_gemma":[0.007950975,0.008445762,0.10619126,0.00020281797,0.0008792886,0.0029943187,0.74175286,0.0009146806,0.0000307419,0.121221535,0.0072657717,0.0021499635],"about_ca_topic_score_codex":0.04134683,"about_ca_topic_score_gemma":0.4798166,"teacher_disagreement_score":0.8288468,"about_ca_system_score_codex":0.00047681006,"about_ca_system_score_gemma":0.002131178,"threshold_uncertainty_score":0.999864},"labels":[],"label_agreement":null},{"id":"W3122703861","doi":"","title":"Accessibility Oriented Development","year":2017,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business; Order (exchange); Transit-oriented development; Scale (ratio); Transit (satellite); Transport engineering; Geography; Economic growth; Public transport; Economics; Finance; Engineering","score_opus":0.07251896335089283,"score_gpt":0.394802616445838,"score_spread":0.3222836530949451,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122703861","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7206132,0.00008869279,0.0000035470762,0.00031637124,0.0007543564,0.0007829746,0.000023582319,0.000063586536,0.2773537],"genre_scores_gemma":[0.9895516,0.0014390008,0.0006861096,0.000026679249,0.00039525126,0.00021677553,0.000078174235,0.000032813434,0.0075736167],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9955219,0.0004847027,0.00082053355,0.0013987309,0.0006293267,0.0011447835],"domain_scores_gemma":[0.9969557,0.00030723948,0.00035679853,0.001721428,0.00028254202,0.00037631555],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.007165336,0.00030346654,0.0005890738,0.00029834363,0.0014948674,0.00055462465,0.0023720618,0.000707052,0.00047966777],"category_scores_gemma":[0.0012168322,0.0003248672,0.00018703144,0.00011708814,0.0014262338,0.0003524242,0.001185128,0.0019088995,0.000023969264],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007120508,0.0002739101,0.68726885,0.00015049051,0.000051132236,0.000032108826,0.0051509766,0.00004311565,0.0000050386607,0.00033346313,0.000040295352,0.3065794],"study_design_scores_gemma":[0.00047593264,0.000016067552,0.77351415,0.00025705833,0.000008401955,1.6559214e-7,0.0015368765,0.00013503661,0.00014012662,0.005840859,0.21744302,0.0006323043],"about_ca_topic_score_codex":0.00205044,"about_ca_topic_score_gemma":0.034422316,"teacher_disagreement_score":0.30594712,"about_ca_system_score_codex":0.0021749875,"about_ca_system_score_gemma":0.0050239377,"threshold_uncertainty_score":0.99992037},"labels":[],"label_agreement":null},{"id":"W3122713708","doi":"10.1162/rest_a_01188","title":"The Geography of Jobs and the Gender Wage Gap","year":2022,"lang":"en","type":"article","venue":"The Review of Economics and Statistics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Wage; Labour economics; Economics; Demographic economics; Low wage; Gender gap","score_opus":0.032160434770375036,"score_gpt":0.2877778071510501,"score_spread":0.25561737238067506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122713708","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3692232,0.60247165,0.0004428136,0.0086624455,0.0004000109,0.0014783202,0.0012569379,0.000008183134,0.01605645],"genre_scores_gemma":[0.51640177,0.48303634,0.00017516906,0.00029908642,0.000020229436,0.000012359891,0.0000044531703,0.0000030106144,0.000047573958],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993175,0.00019235983,0.0002707345,0.00007460774,0.000057202164,0.00008758754],"domain_scores_gemma":[0.9989866,0.000593128,0.00020726364,0.00016420921,0.000027853002,0.00002093087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002381352,0.00004651672,0.00018187531,0.0000068528366,0.000655417,0.000020372918,0.00022638087,0.000008402925,0.00006629004],"category_scores_gemma":[0.00005645834,0.000022775816,0.000048632526,0.000052965428,0.00092460506,0.000022629682,0.00005396199,0.0000734216,1.7376495e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018989529,0.000013154328,0.01611715,0.00036341097,0.000048250913,1.3849156e-7,0.0014796552,0.000004048851,1.02495704e-7,0.950693,0.0008262939,0.030435773],"study_design_scores_gemma":[0.00069392944,0.000059287027,0.14750156,0.00012961673,0.0003826096,0.0000010605004,0.0031066649,0.0005838949,0.0000018306581,0.49009344,0.35724565,0.00020044488],"about_ca_topic_score_codex":0.00040229174,"about_ca_topic_score_gemma":0.00029293925,"teacher_disagreement_score":0.4605996,"about_ca_system_score_codex":0.000006150885,"about_ca_system_score_gemma":0.000048171514,"threshold_uncertainty_score":0.5041004},"labels":[],"label_agreement":null},{"id":"W3123045227","doi":"10.1177/0962280220986193","title":"Clustered longitudinal data subject to irregular observation","year":2021,"lang":"en","type":"article","venue":"Statistical Methods in Medical Research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"St. Michael's Hospital; Institute for Clinical Evaluative Sciences; University of Toronto; SickKids Foundation; Hospital for Sick Children; Public Health Ontario","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Covariate; Cluster analysis; Econometrics; Random effects model; Computer science; Outcome (game theory); Statistics; Parametric statistics; Mathematics; Medicine","score_opus":0.5085080922538269,"score_gpt":0.6444488331804581,"score_spread":0.13594074092663122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123045227","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04070299,0.0003037187,0.9276694,0.019676473,0.00046959412,0.00044630462,0.00012285961,0.000044419885,0.010564257],"genre_scores_gemma":[0.18619211,0.00009826728,0.8114044,0.00043678377,0.00048098151,0.000042843658,0.00020491179,0.000016927057,0.0011227712],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9868555,0.007569274,0.00051649136,0.00086686783,0.0032903587,0.00090148044],"domain_scores_gemma":[0.98554754,0.012114097,0.000025777636,0.00086588087,0.00050718564,0.00093953195],"candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.03869969,0.00010195205,0.00030856678,0.00013794006,0.00036594033,0.00013743577,0.0013294822,0.000233623,0.009338697],"category_scores_gemma":[0.1322972,0.000094582865,0.000028253513,0.0020320693,0.0010289962,0.0002180762,0.0005799722,0.0010440989,0.00005974565],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011485646,0.0003126396,0.16796614,0.00009039384,0.0000153931,0.00084691704,0.0011676876,6.629619e-7,0.00013918633,0.053414464,0.0058136135,0.77011806],"study_design_scores_gemma":[0.00047447393,0.000066693865,0.8149201,0.00014285823,0.000011290306,0.0000012293062,0.0013327575,0.0024834352,0.00018638241,0.10494811,0.075217515,0.00021511957],"about_ca_topic_score_codex":0.0034373805,"about_ca_topic_score_gemma":0.016919695,"teacher_disagreement_score":0.76990294,"about_ca_system_score_codex":0.00018956841,"about_ca_system_score_gemma":0.0021389492,"threshold_uncertainty_score":0.9915669},"labels":[],"label_agreement":null},{"id":"W3123087392","doi":"","title":"Gone Fishing! Reported Sickness Absenteeism and the Weather","year":2012,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Absenteeism; Exploit; Agency (philosophy); Adverse weather; Business; Quality (philosophy); Order (exchange); Extreme weather; Economics; Demographic economics; Finance; Geography; Climate change; Meteorology; Computer science; Computer security","score_opus":0.050852044812647865,"score_gpt":0.3460151992129365,"score_spread":0.2951631544002886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123087392","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77507913,0.0006079806,0.0000019183947,0.0027886457,0.0005603232,0.0009240066,0.000019631769,0.00004699198,0.21997134],"genre_scores_gemma":[0.98507714,0.0057646967,0.000066236935,0.000089729074,0.0006329433,0.00015306272,0.000024767838,0.00003359434,0.008157824],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99668586,0.0006986944,0.0006435461,0.0007305913,0.00039961826,0.0008416668],"domain_scores_gemma":[0.9976283,0.0008156457,0.00027009318,0.0009367977,0.00012139634,0.00022777694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009244891,0.00023006921,0.0005136871,0.00013542111,0.0005857082,0.00034530347,0.00084697985,0.00047865775,0.00033659732],"category_scores_gemma":[0.0006989625,0.00018278426,0.00017313262,0.00013654417,0.002415372,0.00022852028,0.00055980193,0.0017053668,0.000007716751],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047062346,0.00038828913,0.74377507,0.00025657006,0.000309012,0.00005708623,0.036435865,0.000114486924,0.000019808553,0.0066282433,0.0003112936,0.21123363],"study_design_scores_gemma":[0.003203454,0.00002763713,0.6775951,0.00039840722,0.000108624765,0.0000051358084,0.014049369,0.00084682397,0.00004103838,0.044853933,0.25759655,0.0012739688],"about_ca_topic_score_codex":0.0072574974,"about_ca_topic_score_gemma":0.0135965925,"teacher_disagreement_score":0.25728524,"about_ca_system_score_codex":0.00041489213,"about_ca_system_score_gemma":0.00057444203,"threshold_uncertainty_score":0.9993533},"labels":[],"label_agreement":null},{"id":"W3123110145","doi":"10.31219/osf.io/6vp8j","title":"A global assessment of street network sprawl","year":2019,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Urban sprawl; Geography; Street network; Walkability; Regional science; Economic geography; Cartography; Urban planning; Transport engineering; Built environment; Engineering","score_opus":0.030660756591867105,"score_gpt":0.36947222931054274,"score_spread":0.3388114727186756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123110145","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41660094,0.00018066938,0.004069756,0.00030457872,0.0015852433,0.00055396033,0.00008761883,0.00008675594,0.57653046],"genre_scores_gemma":[0.9949045,0.000043643016,0.0034033908,0.0000629,0.00045130492,0.000008945342,0.0000419468,0.0000040045575,0.0010793267],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99827194,0.0001239903,0.00035924872,0.0003901634,0.0005437155,0.00031095406],"domain_scores_gemma":[0.999025,0.000050647606,0.0002495934,0.0004611713,0.00012191228,0.000091677306],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008111173,0.00015060644,0.00038320114,0.00001545289,0.000092519804,0.00005743636,0.00062580116,0.000316297,0.0010049085],"category_scores_gemma":[0.000015603588,0.00013392555,0.00021588756,0.00019671088,0.00019066401,0.00007707329,0.00015293775,0.00021311469,0.0000048963657],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000033761878,0.000065968175,0.9749275,0.000066397166,0.000039766885,9.4008266e-7,0.00011386723,0.0012271946,1.8489342e-7,0.019829175,0.0028018258,0.0009238252],"study_design_scores_gemma":[0.00009900066,0.000012789001,0.9811058,0.00006907268,0.00004788099,5.664745e-9,0.0002981701,0.00013627016,0.000001513046,0.015219873,0.0028408398,0.00016875195],"about_ca_topic_score_codex":0.024163336,"about_ca_topic_score_gemma":0.06821522,"teacher_disagreement_score":0.5783036,"about_ca_system_score_codex":0.00017738952,"about_ca_system_score_gemma":0.0012618566,"threshold_uncertainty_score":0.9999083},"labels":[],"label_agreement":null},{"id":"W3123604690","doi":"","title":"Title Ix and the Spatial Content of Female Employment—Out of the Lab and into the Labor Market","year":2016,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"University of Toronto","keywords":"Download; Test (biology); Exploit; Developing country; Labour economics; Demographic economics; Political science; Psychology; Economics; Economic growth; Computer science; World Wide Web","score_opus":0.03679564255683127,"score_gpt":0.3181890857022588,"score_spread":0.2813934431454275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123604690","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9317068,0.0001191637,4.2558105e-7,0.0023199248,0.000066410255,0.00019212451,0.000009455115,0.0000017852913,0.06558393],"genre_scores_gemma":[0.99109066,0.0012479278,0.000006727498,0.000027488057,0.00003424803,0.000007598309,1.2446421e-7,0.000002770151,0.0075824875],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999406,0.00017344784,0.00012213142,0.00009293857,0.00009783736,0.00010769001],"domain_scores_gemma":[0.9993196,0.00041229455,0.00004274596,0.00016874813,0.000035028832,0.000021596281],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014831173,0.000030805564,0.00008158849,0.000013223504,0.00011313531,0.0000137540765,0.00019368155,0.00002869918,0.00025155372],"category_scores_gemma":[0.00020692764,0.000012932908,0.000024415935,0.00003514391,0.0013461427,0.00003619431,0.0000640989,0.00006729554,9.997812e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013072568,0.000030927524,0.82469887,0.000017502825,0.000023798713,2.875974e-7,0.008137346,1.762455e-7,0.0003900533,0.0030225988,0.00017469148,0.16337302],"study_design_scores_gemma":[0.001024818,0.000031171217,0.92371327,0.00005465995,0.000008082712,8.5013454e-8,0.0050523225,0.000038965296,0.0009717841,0.0031644446,0.06586827,0.00007214055],"about_ca_topic_score_codex":0.0014797427,"about_ca_topic_score_gemma":0.010809595,"teacher_disagreement_score":0.16330089,"about_ca_system_score_codex":0.00003096804,"about_ca_system_score_gemma":0.000085877364,"threshold_uncertainty_score":0.60320073},"labels":[],"label_agreement":null},{"id":"W3123947779","doi":"10.5198/jtlu.2019.1523","title":"Distributional effects of transport policies on inequalities in access to opportunities in Rio de Janeiro","year":2019,"lang":"en","type":"article","venue":"Journal of Transport and Land Use","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":111,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Ministério da Educação","keywords":"Equity (law); Public transport; Inequality; Transport policy; Zoning; Counterfactual thinking; Regional science; Public economics; Business; Geography; Private transport; Transport engineering; Economics; Political science; Engineering","score_opus":0.06287713652336874,"score_gpt":0.32442900056912216,"score_spread":0.2615518640457534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123947779","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99820864,0.0001174783,0.000029296829,0.0006864508,0.00014289757,0.00020731523,0.00006623927,0.000005556968,0.0005361413],"genre_scores_gemma":[0.9992321,0.00024493737,0.000024315914,0.00016912035,0.00007237522,0.0000027206127,0.000014469382,0.0000065414097,0.00023339609],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985841,0.00007157987,0.00057536096,0.0001202945,0.00037934526,0.0002693187],"domain_scores_gemma":[0.999312,0.00019868763,0.00016348416,0.00008510424,0.00007819463,0.00016251633],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080994423,0.00012448906,0.00042186258,0.00026981442,0.000047962847,0.000029605391,0.00022754235,0.00010097146,0.00006762912],"category_scores_gemma":[0.00002904315,0.000100776124,0.0001051882,0.00022405444,0.00011567316,0.0006372722,0.000003882701,0.00021459714,3.2513066e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004711076,0.00018296826,0.98900354,0.00015665851,0.000015794658,0.00007897323,0.008875788,0.000086067506,0.00004609602,0.0008689205,0.00002072457,0.00019338269],"study_design_scores_gemma":[0.0010055903,0.00017170036,0.9949408,0.00035474016,0.000024280422,9.75056e-7,0.0008824314,0.0000011351674,0.00020083404,0.00041723935,0.0018809155,0.00011932271],"about_ca_topic_score_codex":0.006048248,"about_ca_topic_score_gemma":0.0125902705,"teacher_disagreement_score":0.007993356,"about_ca_system_score_codex":0.00006240707,"about_ca_system_score_gemma":0.00028089972,"threshold_uncertainty_score":0.9143182},"labels":[],"label_agreement":null},{"id":"W3124043893","doi":"10.1177/2399808320987093","title":"A data-driven complex network approach for planning sustainable and inclusive urban mobility hubs and services","year":2021,"lang":"en","type":"article","venue":"Environment and Planning B Urban Analytics and City Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Public transport; Equity (law); Multimodal transport; Business; Population; Sustainability; Transport engineering; Investment (military); Household income; Environmental economics; Geography; Economics; Marketing; Engineering","score_opus":0.04901984432395392,"score_gpt":0.30367254771760543,"score_spread":0.25465270339365154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124043893","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9918637,0.0033083025,0.002743827,0.00024084767,0.00003319884,0.00033476853,0.000079085345,0.000022282762,0.0013739653],"genre_scores_gemma":[0.99555725,0.0001852908,0.0032726957,0.00015702749,0.0001601684,0.000006398531,0.00012148274,0.0000061473875,0.00053351757],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979736,0.000057206027,0.00022487725,0.00085426244,0.0003518934,0.0005381235],"domain_scores_gemma":[0.99907804,0.00016518746,0.000115486066,0.00030210972,0.00004611868,0.00029308457],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0016079735,0.00017347508,0.00027469007,0.00005136265,0.0023536913,0.0005066035,0.00032344882,0.000081511156,0.000015599891],"category_scores_gemma":[0.000058938822,0.00016489698,0.000021844515,0.0002685649,0.0016034463,0.000674773,0.0005378494,0.00014534964,1.1678395e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020450472,0.000049050956,0.98898274,0.00011202136,0.000019043964,0.0000101952855,0.008368219,0.0005053184,0.00003705065,0.0013648326,0.00032668296,0.00020439035],"study_design_scores_gemma":[0.0004493184,0.00006147389,0.8372816,0.000046038444,0.00011314216,0.0000022130423,0.022569025,0.1152304,0.000008467896,0.0018603877,0.022006553,0.00037139232],"about_ca_topic_score_codex":0.00034478997,"about_ca_topic_score_gemma":0.000082741266,"teacher_disagreement_score":0.15170115,"about_ca_system_score_codex":0.000048172333,"about_ca_system_score_gemma":0.00010605674,"threshold_uncertainty_score":0.9989451},"labels":[],"label_agreement":null},{"id":"W3124047705","doi":"10.17269/s41997-020-00440-0","title":"Are school-based measures of walkability and greenness associated with modes of commuting to school? Findings from a student survey in Ontario, Canada","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"McGill University; Centre for Addiction and Mental Health; Public Health Agency of Canada; Public Health Ontario; University of Toronto; Carleton University","funders":"","keywords":"Walkability; Quartile; Logistic regression; Odds; Odds ratio; Confidence interval; Environmental health; Geography; Level design; Demography; Medicine; Physical activity; Gerontology; Computer science; Sociology","score_opus":0.12924068102785322,"score_gpt":0.3089643372430735,"score_spread":0.17972365621522027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124047705","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99448466,0.00031467617,0.00003406889,0.004651422,0.00008066018,0.00015060496,0.00022339211,0.0000019727306,0.000058518923],"genre_scores_gemma":[0.99938995,0.0000024520184,0.0000779585,0.00047096898,0.000015610096,0.0000011738595,0.000016774808,0.0000065276477,0.000018578028],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968965,0.0010733184,0.0007308366,0.00018228404,0.000607622,0.00050944346],"domain_scores_gemma":[0.9955483,0.0003884745,0.00061021105,0.00016966989,0.0011850039,0.002098326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007163126,0.00010668649,0.00055154465,0.00018444106,0.0002392545,0.00007992147,0.00033375397,0.00007150107,0.00020539151],"category_scores_gemma":[0.0047830045,0.00009966991,0.00004019411,0.0007071331,0.00016543124,0.00022753162,0.000010340521,0.0004221775,4.38869e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.000012867595,0.000053645996,0.9956247,0.000018256369,0.000036363952,0.000030232528,0.0037692303,0.000049161197,0.0000035188368,0.000009746235,0.00016742237,0.00022481434],"study_design_scores_gemma":[0.00048601013,0.000045924513,0.99156183,0.00027090643,0.0000069429525,2.3400241e-7,0.007336503,0.0000034361249,0.000012793798,0.000041820225,0.00014643025,0.0000871816],"about_ca_topic_score_codex":0.9997851,"about_ca_topic_score_gemma":0.9999996,"teacher_disagreement_score":0.10092298,"about_ca_system_score_codex":0.0040414934,"about_ca_system_score_gemma":0.10496447,"threshold_uncertainty_score":0.9997818},"labels":[],"label_agreement":null},{"id":"W3124788880","doi":"10.1177/0733464820978000","title":"Identifying Communities of Concern for Older Adults Using Spatial Analysis: Focusing on Accessibility to Health, Social, and Daily Services","year":2021,"lang":"en","type":"article","venue":"Journal of Applied Gerontology","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"University of Calgary","keywords":"Aging in place; Perspective (graphical); Geographic information system; Gerontology; Geography; Environmental health; Medicine; Computer science","score_opus":0.10216076739650796,"score_gpt":0.40516605113509674,"score_spread":0.30300528373858876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124788880","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9922206,0.0004964452,0.005862077,0.0007080067,0.00018709783,0.00022976297,0.000017334829,0.000007656388,0.0002710504],"genre_scores_gemma":[0.99673015,0.000028511497,0.0026086527,0.0003785367,0.00023072302,0.000003500672,0.000006472335,0.0000074196955,0.0000060501975],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99826455,0.00019528526,0.00076865265,0.00019041086,0.0002961748,0.00028491305],"domain_scores_gemma":[0.9982139,0.00022769078,0.00086833443,0.00015030547,0.0004198331,0.00011997275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012178855,0.0001187126,0.000721508,0.00015916949,0.0006054021,0.00007925826,0.00027788462,0.00012503836,0.00005467418],"category_scores_gemma":[0.0000185474,0.000113815004,0.00017450252,0.0003209664,0.00023438146,0.00020956757,0.00004580471,0.00017802954,1.4234077e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024871,0.0006027521,0.5373402,0.001345223,0.0011401748,0.000012226876,0.40503204,0.00020348337,0.001132071,0.0015676914,0.00004545372,0.04909152],"study_design_scores_gemma":[0.0021578877,0.00016237819,0.8149362,0.00024793594,0.0006858239,0.0000019638821,0.17622992,0.00025977788,0.0017073422,0.0030749862,0.0002651053,0.0002706382],"about_ca_topic_score_codex":0.009151109,"about_ca_topic_score_gemma":0.12979028,"teacher_disagreement_score":0.277596,"about_ca_system_score_codex":0.00012425138,"about_ca_system_score_gemma":0.00036539117,"threshold_uncertainty_score":0.997447},"labels":[],"label_agreement":null},{"id":"W3124923335","doi":"","title":"I only get some satisfaction: Introducing satisfaction into measures of accessibility","year":2018,"lang":"en","type":"preprint","venue":"The Sydney eScholarship Repository (The University of Sydney)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; McGill University","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Metropolitan area; TRIPS architecture; Index (typography); Public transport; Transport engineering; Measure (data warehouse); Business; Destinations; Quality (philosophy); Marketing; Geography; Computer science; Environmental economics; Engineering; Economics; Tourism; World Wide Web; Data mining","score_opus":0.02808625840917354,"score_gpt":0.2666540192283553,"score_spread":0.23856776081918177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124923335","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99042976,0.0006630377,0.00031130662,0.0013036132,0.0024403457,0.0009308053,0.000033259348,0.00014962477,0.0037382317],"genre_scores_gemma":[0.9975725,0.00022101306,0.00041881856,0.000053517637,0.00097478635,0.0000021135681,0.000014793494,0.000027552629,0.0007149209],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9941138,0.0021574146,0.0008031495,0.0009928917,0.0014671148,0.00046563093],"domain_scores_gemma":[0.99479866,0.000403873,0.0015241661,0.0020413974,0.0009907796,0.00024113506],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.004769694,0.0004282809,0.0007580574,0.0001958002,0.00297101,0.0001984779,0.00225001,0.00071802427,0.0002704339],"category_scores_gemma":[0.00061058847,0.00035076783,0.00059118844,0.00046892843,0.0036258753,0.0012904177,0.00066995475,0.0017831346,0.000019658337],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041848313,0.00014350671,0.9569724,0.0005095339,0.0004405995,0.000009960633,0.02798773,0.00009811232,0.004023847,0.0012404139,0.00057939795,0.0075760204],"study_design_scores_gemma":[0.00032573132,0.000059744732,0.9717198,0.00038182823,0.00056132517,0.000002170024,0.0060165906,0.000016242453,0.0035301668,0.014943494,0.0020361121,0.0004067945],"about_ca_topic_score_codex":0.06598762,"about_ca_topic_score_gemma":0.018726496,"teacher_disagreement_score":0.04726112,"about_ca_system_score_codex":0.0008777975,"about_ca_system_score_gemma":0.0018134678,"threshold_uncertainty_score":0.99989444},"labels":[],"label_agreement":null},{"id":"W3124953508","doi":"10.3390/ijerph18031039","title":"The Effect of the Built Environment on Older Men′s and Women′s Leisure-Time Physical Activity in the Mid-Scale City of Jinhua, China","year":2021,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Walkability; Built environment; China; Gerontology; Scale (ratio); Level design; Environmental health; Older people; Human factors and ergonomics; Chinese people; Physical activity; Psychology; Poison control; Medicine; Geography; Engineering; Civil engineering","score_opus":0.030898504453145157,"score_gpt":0.3739721801164684,"score_spread":0.3430736756633232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124953508","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9828834,0.0002809407,0.0000040326668,0.015979167,0.0000541743,0.0001989323,0.00003084241,6.6299674e-7,0.00056786765],"genre_scores_gemma":[0.99882555,0.0008610547,0.0000033078998,0.000037352896,0.000101571466,0.000006061384,0.0000012182278,0.0000032623736,0.0001606502],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99634135,0.001407513,0.00024289323,0.00013558281,0.0015834656,0.00028920753],"domain_scores_gemma":[0.99854094,0.000946316,0.00019827686,0.00014271775,0.000023255041,0.00014852082],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005647605,0.000072806804,0.0001941946,0.00005084882,0.00031946966,0.000069791444,0.0004897737,0.000035281046,0.000108266475],"category_scores_gemma":[0.00016803897,0.000036465273,0.00007062952,0.000111847236,0.0010156041,0.00018757663,0.00010988982,0.00046145663,7.985691e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030886484,0.0015742413,0.9097728,0.000023629373,0.00007130927,0.00000864356,0.011859408,0.0000031306406,0.0031574585,0.0001704519,0.00011646982,0.07293356],"study_design_scores_gemma":[0.0005005675,0.00040641712,0.99293864,0.0000265106,0.0000018628167,0.0000028942852,0.0017850723,0.0000112743,0.0018573687,0.000672175,0.0017666053,0.000030643823],"about_ca_topic_score_codex":0.0005023521,"about_ca_topic_score_gemma":0.00018578686,"teacher_disagreement_score":0.08316578,"about_ca_system_score_codex":0.00031050388,"about_ca_system_score_gemma":0.00021199524,"threshold_uncertainty_score":0.3742036},"labels":[],"label_agreement":null},{"id":"W3125119509","doi":"","title":"Settlement Patterns in the U.S. Canada:Simliarities and Differences - Policies or Preferences?","year":2003,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Urban sprawl; Settlement (finance); Smart growth; Suburbanization; Worry; Land use; Economic geography; Political science; Geography; Economy; Economic growth; Development economics; Economics; Metropolitan area; Finance; Engineering","score_opus":0.06999034291540668,"score_gpt":0.3438589602383262,"score_spread":0.2738686173229195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125119509","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95471597,0.00018720762,2.0910502e-7,0.002057851,0.0002443348,0.00073445897,0.00027913434,0.00001002818,0.041770816],"genre_scores_gemma":[0.9882225,0.009772299,0.000017673945,0.00022425386,0.00012572043,0.00020963112,0.000032687585,0.000011668767,0.0013836034],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9967615,0.0007889836,0.0005166001,0.0006127121,0.00052167865,0.0007985032],"domain_scores_gemma":[0.9984241,0.0007870931,0.00012664529,0.00047256867,0.000058844267,0.00013075037],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025809235,0.0002293047,0.0004034018,0.00017256258,0.00039995395,0.0003756984,0.0010246333,0.0002483714,0.000285386],"category_scores_gemma":[0.00027742883,0.0001659003,0.00005069268,0.00014149642,0.0007456705,0.00011704028,0.0002498407,0.0011605833,3.5086651e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024022549,0.00006469117,0.97746986,0.00014951422,0.000017845668,0.000016031801,0.009447601,0.000018928618,2.5284456e-7,0.00051379425,0.000093834395,0.012183603],"study_design_scores_gemma":[0.00020481658,0.000027870265,0.95138025,0.0001615097,0.0000056015497,3.2645505e-7,0.033571005,0.000029363619,0.0000033343658,0.004110266,0.010244285,0.00026135962],"about_ca_topic_score_codex":0.75666296,"about_ca_topic_score_gemma":0.99504757,"teacher_disagreement_score":0.23838459,"about_ca_system_score_codex":0.0007952796,"about_ca_system_score_gemma":0.0034412544,"threshold_uncertainty_score":0.67652184},"labels":[],"label_agreement":null},{"id":"W3125144128","doi":"10.32866/001c.18630","title":"University and College Travel for Students with Mobility Impairment(s) in the Greater Toronto and Hamilton Area, Canada","year":2021,"lang":"en","type":"article","venue":"Findings","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Psychology; Gerontology; Travel behavior; Medical education; Geography; Sociology; Medicine; Transport engineering; Engineering","score_opus":0.013178008569713327,"score_gpt":0.25472961087540064,"score_spread":0.2415516023056873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125144128","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981635,0.000041293362,0.0000068943555,0.00033661892,0.000024698596,0.00030725147,0.000093839066,0.000003873397,0.0010220326],"genre_scores_gemma":[0.9984144,0.000012058554,0.000028985067,0.00008798321,0.000010116071,0.0000037619457,0.0000056380522,0.0000019283573,0.0014351557],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993797,0.000041035666,0.000060638456,0.00018605139,0.00018052646,0.00015206037],"domain_scores_gemma":[0.9997705,0.000058463625,0.000017137712,0.000074205134,0.000031725118,0.000047941146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032039403,0.000056542875,0.00009126771,0.000006370364,0.00028325093,0.000034956523,0.000116414565,0.00003155888,0.00004484505],"category_scores_gemma":[0.000008129802,0.00004154921,0.00001208571,0.000083334446,0.00009840166,0.00015130562,0.0000121180265,0.000038847033,3.138345e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043666645,0.00004089754,0.9861111,0.0000130263725,0.0000067453416,0.000021376547,0.013237664,4.8984884e-8,0.000006389809,0.00016561456,0.0003208734,0.000032573513],"study_design_scores_gemma":[0.00050360366,0.00002785386,0.9660209,0.000009949107,0.000013681522,3.8256684e-7,0.030047325,0.0000022158506,0.0000324382,0.000053535325,0.0032293773,0.000058728067],"about_ca_topic_score_codex":0.6067128,"about_ca_topic_score_gemma":0.9908696,"teacher_disagreement_score":0.38415673,"about_ca_system_score_codex":0.00021164728,"about_ca_system_score_gemma":0.00022097888,"threshold_uncertainty_score":0.3959061},"labels":[],"label_agreement":null},{"id":"W3125301071","doi":"10.2139/ssrn.3195004","title":"Quantifying the Externalities of the Sharing Economy: The Case of Bike Sharing","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Sharing economy; Bike sharing; Externality; Business; Car sharing; Industrial organization; Economics; Microeconomics; Transport engineering; Computer science; Engineering; World Wide Web","score_opus":0.04453532242887777,"score_gpt":0.32334721047573867,"score_spread":0.2788118880468609,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125301071","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99213505,0.0013892071,0.00023210947,0.0013635135,0.000255472,0.00012150182,0.000001648628,0.000008396369,0.004493104],"genre_scores_gemma":[0.9982841,0.0002014965,0.000005422197,0.00005680892,0.000526518,0.0000021196174,9.99415e-8,0.000007793244,0.0009156446],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983178,0.00012061484,0.0003636443,0.00014363888,0.000151286,0.0009030421],"domain_scores_gemma":[0.99904525,0.0001133518,0.0003563982,0.0003250978,0.00012881914,0.0000310736],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.004819089,0.000087894805,0.00013838593,0.000029740924,0.001434808,0.000104375256,0.0011890244,0.000043562013,0.00010169288],"category_scores_gemma":[0.000074859716,0.000042039028,0.00017893265,0.00021981569,0.00079531956,0.00027339507,0.000085499894,0.00079054426,0.0000018370787],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023119024,0.000026030659,0.4714281,0.000013472193,0.000107870765,0.0000034727195,0.01622301,0.0000067208553,0.00011403384,0.50801146,0.000012105162,0.004030621],"study_design_scores_gemma":[0.00035340613,0.000096810756,0.03397415,0.00011457817,0.00013289758,0.00018462635,0.080252916,0.00024467905,0.0014469265,0.88094103,0.0020694728,0.00018849123],"about_ca_topic_score_codex":0.010207788,"about_ca_topic_score_gemma":0.15251587,"teacher_disagreement_score":0.43745396,"about_ca_system_score_codex":0.0002103886,"about_ca_system_score_gemma":0.0009770781,"threshold_uncertainty_score":0.9998652},"labels":[],"label_agreement":null},{"id":"W3125418167","doi":"","title":"Public Bikesharing and Modal Shift Behavior: A Comparative Study of Early Bikesharing Systems in North America","year":2013,"lang":"en","type":"preprint","venue":"eScholarship (California Digital Library)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Public transport; Modal shift; Transport engineering; Modal; Geography; Perception; Business; Engineering; Psychology","score_opus":0.06860923967336142,"score_gpt":0.2811576277448994,"score_spread":0.21254838807153797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125418167","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98922205,0.00053933205,0.000011448027,0.000068352114,0.00022702437,0.0025528483,0.002262492,0.00025528693,0.004861183],"genre_scores_gemma":[0.9986526,0.000018749231,0.000057481815,0.000017100583,0.00014269628,0.00038824067,0.00053797953,0.00006164882,0.0001235532],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99558246,0.0003727026,0.0012296785,0.0011509465,0.00089938677,0.00076481036],"domain_scores_gemma":[0.9978676,0.00018418048,0.0006584968,0.0006648001,0.00011288987,0.0005120588],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00037040448,0.0005648682,0.0011155142,0.00054282194,0.00030094825,0.0044301166,0.0013685045,0.00038028395,0.00014170632],"category_scores_gemma":[0.000094154646,0.0005543923,0.00018375638,0.0010092915,0.00049135607,0.005873991,0.001085848,0.001519852,0.00009020417],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043679865,0.0010609435,0.9907503,0.00015539696,0.00006218405,0.000029233652,0.0068156803,0.000030704494,0.0000016235472,0.00015976028,0.000015587379,0.00087488437],"study_design_scores_gemma":[0.00056082936,0.00014004445,0.99280405,0.0001922623,0.000052798452,2.3025576e-7,0.0034094402,0.00009430094,0.0000037745124,0.0010368534,0.0010778449,0.0006275491],"about_ca_topic_score_codex":0.0072254334,"about_ca_topic_score_gemma":0.003325571,"teacher_disagreement_score":0.0094305165,"about_ca_system_score_codex":0.000107983506,"about_ca_system_score_gemma":0.00038615527,"threshold_uncertainty_score":0.9996908},"labels":[],"label_agreement":null},{"id":"W3125784342","doi":"10.1136/bmjopen-2020-041474","title":"Geographical disparities in access to hospital care in Ontario, Canada: a spatial coverage modelling approach","year":2021,"lang":"en","type":"article","venue":"BMJ Open","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Health care; Population; Distance decay; Inpatient care; Medical emergency; Environmental health; Geography; Economic growth","score_opus":0.0594479409642334,"score_gpt":0.3402507099023941,"score_spread":0.2808027689381607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125784342","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97252214,0.00004430133,0.0005533556,0.0010414217,0.0001955718,0.0022835706,0.00002495382,0.000007858525,0.023326827],"genre_scores_gemma":[0.99856883,0.0000030405345,0.00030659538,0.00029995205,0.000054830358,0.00034925042,0.000064162035,0.0000067971996,0.00034651934],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99845093,0.00011087248,0.0002803902,0.00039046773,0.00041162598,0.00035573074],"domain_scores_gemma":[0.99950856,0.00003376937,0.000039211372,0.00021397816,0.00007282069,0.00013168159],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041395795,0.00010343758,0.00026148977,0.00004831074,0.00016092251,0.0004489734,0.00076070084,0.00008350204,0.00021483852],"category_scores_gemma":[0.00004058591,0.00010920668,0.000040401934,0.00042455824,0.000053236505,0.0005526231,0.0002625103,0.00024239399,6.4145115e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049276965,0.000087736,0.98602647,0.000022076827,0.0000040671894,0.00008174546,0.009870747,0.0030027025,1.6788931e-7,0.00039755338,0.00012950992,0.00032795098],"study_design_scores_gemma":[0.00038896748,0.000012367754,0.9931946,0.00006264732,0.0000044308704,1.0001023e-7,0.0031439427,0.00027656698,0.000007871558,0.00054073724,0.0021471719,0.00022064219],"about_ca_topic_score_codex":0.99974114,"about_ca_topic_score_gemma":0.9999899,"teacher_disagreement_score":0.026046714,"about_ca_system_score_codex":0.00053410063,"about_ca_system_score_gemma":0.0045756325,"threshold_uncertainty_score":0.8116976},"labels":[],"label_agreement":null},{"id":"W3126165778","doi":"10.3390/ijerph18031301","title":"Accessibility of Rural Life Space on the Jianghan Plain, China: The Role of Livelihood","year":2021,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Livelihood; Diversification (marketing strategy); Urbanization; Context (archaeology); Space (punctuation); China; Economic growth; Rural settlement; Empowerment; Rural area; Geography; Business; Socioeconomics; Economics; Political science; Agriculture; Marketing","score_opus":0.051623949433388286,"score_gpt":0.37815085585103725,"score_spread":0.326526906417649,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126165778","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9374808,0.0017381163,0.000014397745,0.05831668,0.00010133524,0.00011355021,0.000055188535,0.0000013244754,0.002178602],"genre_scores_gemma":[0.99759895,0.0018176517,0.00002095916,0.00023700246,0.00021036646,0.0000017799337,0.000004446726,0.0000036358042,0.00010523914],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968946,0.0007353399,0.00041814352,0.00009729532,0.0015968392,0.0002577979],"domain_scores_gemma":[0.9985156,0.00058382837,0.00031131878,0.00014228807,0.00018452358,0.0002624453],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0049914992,0.000059222264,0.00014824714,0.000077687924,0.00030797004,0.00008718781,0.0006715023,0.000038568935,0.00073119253],"category_scores_gemma":[0.0009272063,0.0000341539,0.00008218045,0.00016119199,0.00084156735,0.00027713002,0.000104025676,0.0004170425,0.0000017355036],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023365613,0.0017500079,0.9038476,0.00001963891,0.00016329496,0.00000899579,0.015059116,0.0000019560437,0.0010666751,0.018698065,0.0005443355,0.058606684],"study_design_scores_gemma":[0.00027457546,0.00022924288,0.9432942,0.000047007863,0.0000020913594,0.0000025330767,0.038302522,0.000008440454,0.00072835083,0.008904646,0.008169542,0.00003681004],"about_ca_topic_score_codex":0.0011620348,"about_ca_topic_score_gemma":0.0005144375,"teacher_disagreement_score":0.060118113,"about_ca_system_score_codex":0.00018101087,"about_ca_system_score_gemma":0.0010389992,"threshold_uncertainty_score":0.8006046},"labels":[],"label_agreement":null},{"id":"W3126409724","doi":"10.1002/cl2.1136","title":"PROTOCOL: Evidence and gap map: studies of the effectiveness of transport sector interventions in low‐ and middle‐income countries","year":2021,"lang":"en","type":"article","venue":"Campbell Systematic Reviews","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Campbell Scientific (Canada)","funders":"World Health Organization","keywords":"Context (archaeology); Geography; Tanzania; Investment (military); Psychological intervention; Business; Economy; Political science; Environmental planning; Economics; Politics; Archaeology","score_opus":0.1843464609909478,"score_gpt":0.40963529915436925,"score_spread":0.22528883816342143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126409724","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8011423,0.093966804,0.00007152721,0.00007363072,0.00017418932,0.10436236,0.000010000478,0.000009266551,0.0001899217],"genre_scores_gemma":[0.9791837,0.0016002769,0.000050566836,0.0000064268856,0.000013217225,0.018968971,4.0600656e-7,0.000005153608,0.00017129311],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.99539995,0.0027592508,0.0012323386,0.00022372298,0.00025701395,0.0001277267],"domain_scores_gemma":[0.9975456,0.0012923852,0.00059879426,0.00031582045,0.00021020838,0.000037203925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008429269,0.00012511543,0.0011259362,0.00003368721,0.00010761822,0.000016865277,0.00018867567,0.000051269915,0.00002497446],"category_scores_gemma":[0.0017152677,0.0000726311,0.00021067652,0.00035086335,0.00050864636,0.0001938626,0.000030893705,0.000073706746,0.0000010814814],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009727619,0.000036907455,0.37625334,0.61918795,0.000025662157,0.0000015453422,0.003853699,2.2734092e-7,0.0000348799,0.0005881788,0.0000011939854,0.0000066929147],"study_design_scores_gemma":[0.00033953055,0.00003491656,0.30836788,0.6868174,0.00018656044,0.0000012222575,0.0022102515,0.0000016987811,0.0005738722,0.0011560557,0.0001825339,0.0001280675],"about_ca_topic_score_codex":0.00017611467,"about_ca_topic_score_gemma":0.0032612896,"teacher_disagreement_score":0.17804138,"about_ca_system_score_codex":0.000049750106,"about_ca_system_score_gemma":0.00010912275,"threshold_uncertainty_score":0.29618102},"labels":[],"label_agreement":null},{"id":"W3127387611","doi":"10.3390/ijgi10020065","title":"User-Specific Route Planning for People with Motor Disabilities: A Fuzzy Approach","year":2021,"lang":"en","type":"article","venue":"ISPRS International Journal of Geo-Information","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Centre for Interdisciplinary Research in Rehabilitation; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Ministère de l'Économie, de la Science et de l'Innovation - Québec","keywords":"TRIPS architecture; Recreation; Computer science; Pedestrian; Wheelchair; Fuzzy logic; Rendering (computer graphics); Transport engineering; Artificial intelligence; World Wide Web; Engineering","score_opus":0.018711209806763825,"score_gpt":0.29314946934502883,"score_spread":0.274438259538265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3127387611","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8385443,0.0001440846,0.13812327,0.0020310716,0.0016319877,0.00034232283,0.000165147,0.000036205267,0.01898159],"genre_scores_gemma":[0.99187183,0.00003419768,0.0068283244,0.0001967219,0.0005625728,0.000014379654,0.00013857533,0.000005226136,0.0003481797],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99831516,0.000039146,0.000565321,0.0000823174,0.00081574876,0.00018229274],"domain_scores_gemma":[0.9977322,0.00015961223,0.00044770451,0.00009551625,0.0014730108,0.00009190516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006065888,0.00009809568,0.00018246888,0.00012884941,0.00022121465,0.00038822784,0.00038849056,0.00006903771,0.0001070366],"category_scores_gemma":[0.00024211018,0.00008201583,0.00014604031,0.00016276239,0.00008347729,0.004275151,0.000018351535,0.00015131064,0.0000068224235],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002751531,0.0005824394,0.68477106,0.00024089366,0.00059647043,0.00001944059,0.22000033,0.0039800205,0.00017397136,0.051985573,0.010338831,0.024559448],"study_design_scores_gemma":[0.004838775,0.00032059813,0.20458227,0.0003685746,0.00010791204,0.000064639054,0.15186912,0.00095518143,0.00068899407,0.0066259783,0.6289488,0.0006291312],"about_ca_topic_score_codex":0.00013581314,"about_ca_topic_score_gemma":0.000102300226,"teacher_disagreement_score":0.61861,"about_ca_system_score_codex":0.00024029073,"about_ca_system_score_gemma":0.000384247,"threshold_uncertainty_score":0.374369},"labels":[],"label_agreement":null},{"id":"W3128165271","doi":"10.36939/cjur/vol29no2/art291","title":"Sustainable cities: Examining the relationship between neighbourhood composition and recycling patterns in Canadian cities","year":2021,"lang":"en","type":"article","venue":"Canadian journal of urban research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"Queen's University","keywords":"Metropolitan area; Census; Neighbourhood (mathematics); Geography; Sustainability; Urban design; Regional science; Environmental planning; Urban sustainability; Urban planning; Urban density; Economic growth; Socioeconomics; Civil engineering; Sociology; Population; Engineering; Demography; Economics; Ecology","score_opus":0.144289439108256,"score_gpt":0.36981247741065787,"score_spread":0.22552303830240186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3128165271","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9858701,0.0013753731,0.000010317193,0.004645218,0.0000897362,0.00013986019,0.000024786428,0.0000027032224,0.007841873],"genre_scores_gemma":[0.9982396,0.000028327688,0.000019979923,0.000062071405,0.00035636124,0.000003224492,0.000010236947,0.000009873557,0.0012703674],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971387,0.001000159,0.00035069825,0.00015560532,0.0004327339,0.00092211907],"domain_scores_gemma":[0.9964577,0.0016612957,0.00007446134,0.00014736423,0.000620067,0.001039115],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.006368195,0.00007694413,0.00017559218,0.0006635905,0.0017272464,0.0005032037,0.00033581085,0.000118133765,0.00027733739],"category_scores_gemma":[0.001581404,0.00007085069,0.000039962204,0.0008259126,0.0004773172,0.00045907826,0.0000138314645,0.00091658183,0.0000016138947],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000031856441,0.0000026777047,0.977,0.00003072358,0.000008268733,0.00040488242,0.015731152,0.0000032742896,0.0000015547627,0.006289839,0.00031105487,0.00021340436],"study_design_scores_gemma":[0.00015534778,0.000021690155,0.92756194,0.00017134614,0.000007160789,0.0000037410198,0.06414679,0.0000021436344,0.0000085831325,0.0053487998,0.0024993676,0.00007307172],"about_ca_topic_score_codex":0.9228572,"about_ca_topic_score_gemma":0.9892085,"teacher_disagreement_score":0.06635127,"about_ca_system_score_codex":0.0011320702,"about_ca_system_score_gemma":0.011516157,"threshold_uncertainty_score":0.9995724},"labels":[],"label_agreement":null},{"id":"W3128177266","doi":"10.14288/1.0386747","title":"Sustainable community planning : the business case to address declining transport-related quality of life in the Kuwait urban area","year":2019,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Environmental planning; Business; Quality (philosophy); Geography","score_opus":0.037758277605548105,"score_gpt":0.2583329703325975,"score_spread":0.22057469272704938,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3128177266","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9939306,0.00014140162,0.000043294942,0.0003460213,0.00007668693,0.0006958548,0.000077118384,0.00003438554,0.0046546743],"genre_scores_gemma":[0.9991783,0.0000083218765,0.000019062963,0.000078165256,0.000014303039,0.0000011014757,0.000015346317,0.00000722794,0.0006781927],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99782324,0.0008160121,0.00033956347,0.00024459037,0.00040994264,0.0003666773],"domain_scores_gemma":[0.9982085,0.0005679714,0.00025513946,0.00048042278,0.00037974954,0.000108192966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037726448,0.000056370383,0.00038336046,0.000049553113,0.0010764648,0.00007678622,0.0010074186,0.00014111664,0.00017962411],"category_scores_gemma":[0.00023575827,0.00011558332,0.00012460683,0.0012539208,0.00061092596,0.00047161724,0.000071025446,0.0004298512,0.0000026596144],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042718704,0.00019720779,0.9391342,0.00014736108,0.000022895658,0.00027495433,0.056787044,0.00011335718,0.000007371851,0.00002453874,0.00023335268,0.0030149978],"study_design_scores_gemma":[0.00056261505,0.000022566417,0.77082634,0.00011180248,0.000022963915,0.0000034975083,0.22795513,0.00001060597,8.3111935e-8,0.00020071163,0.00017337169,0.00011028756],"about_ca_topic_score_codex":0.9067687,"about_ca_topic_score_gemma":0.91181517,"teacher_disagreement_score":0.17116809,"about_ca_system_score_codex":0.0000767272,"about_ca_system_score_gemma":0.0003169418,"threshold_uncertainty_score":0.8279406},"labels":[],"label_agreement":null},{"id":"W3128242016","doi":"10.1371/journal.pone.0246419","title":"An economic analysis of the health-related benefits associated with bicycle infrastructure investment in three Canadian cities","year":2021,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Memorial University of Newfoundland; Vancouver Coastal Health Research Institute; Simon Fraser University; Vancouver Coastal Health","funders":"Canadian Institutes of Health Research; Michael Smith Health Research BC; Government of Canada","keywords":"Investment (military); Health economics; Business; Transport infrastructure; Environmental health; Natural resource economics; Economics; Transport engineering; Medicine; Economic growth; Health care; Engineering; Political science; Politics","score_opus":0.029721665753542077,"score_gpt":0.23822405517245093,"score_spread":0.20850238941890886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3128242016","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962872,0.00019335364,1.4931099e-7,0.0015306206,0.000022609707,0.00015888919,0.00015777393,0.000014230389,0.0016351561],"genre_scores_gemma":[0.9994681,0.000012897623,0.000037360303,0.00030493204,0.000011723045,0.000005578421,0.000073620526,0.0000054771117,0.00008029764],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99895453,0.00013648267,0.00025880596,0.00018849959,0.00021243391,0.00024923],"domain_scores_gemma":[0.9993746,0.00003355821,0.00014308938,0.00023028422,0.00006597045,0.00015248137],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003010514,0.000073230905,0.00029662863,0.00013114545,0.00021470962,0.00003068742,0.00020852759,0.000082093145,0.00042204035],"category_scores_gemma":[0.000039136827,0.000058483452,0.000051478626,0.0010518631,0.00016204709,0.00013667981,0.000008968324,0.0001229323,7.14195e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000031723775,0.00012029952,0.99301046,0.0000050907224,0.00045134712,0.0000011493969,0.0044178315,0.0009137101,0.00001610256,0.0009940183,0.000004635185,0.0000621603],"study_design_scores_gemma":[0.0001363178,0.000019197712,0.99658036,0.00005116994,0.00020610756,7.3367716e-9,0.0008310288,0.0004979073,0.0001269928,0.0014781186,0.000004003246,0.00006876426],"about_ca_topic_score_codex":0.5386072,"about_ca_topic_score_gemma":0.9971545,"teacher_disagreement_score":0.45854732,"about_ca_system_score_codex":0.00053964846,"about_ca_system_score_gemma":0.0015674336,"threshold_uncertainty_score":0.4644653},"labels":[],"label_agreement":null},{"id":"W3128310357","doi":"10.32866/001c.19069","title":"The Impact of COVID-19 Cycling Infrastructure on Low-Stress Cycling Accessibility: A Case Study in the City of Toronto","year":2021,"lang":"en","type":"article","venue":"Findings","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Cycling; Coronavirus disease 2019 (COVID-19); Population; Pandemic; Transport engineering; Business; Geography; Engineering; Environmental health","score_opus":0.040761945837706155,"score_gpt":0.4010428056304026,"score_spread":0.3602808597926965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3128310357","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978339,0.00018686544,0.0000110473275,0.00017722735,0.00012007894,0.00048940355,0.000052803513,0.000016206182,0.0011124767],"genre_scores_gemma":[0.99977714,0.000022835738,0.00001440686,0.00005335586,0.000076516735,0.000012012809,0.000004951776,0.0000064074766,0.000032385742],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99786776,0.00046463273,0.00051950663,0.00033415045,0.00050180586,0.00031215846],"domain_scores_gemma":[0.99800944,0.0010567319,0.0002403319,0.00048127896,0.00011101397,0.000101174955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024484724,0.00014447543,0.0002901897,0.000026883265,0.00063638936,0.00011987077,0.00061723386,0.000108066015,0.00026943084],"category_scores_gemma":[0.001313448,0.00008362783,0.0001901819,0.00044219542,0.00029153947,0.00029747517,0.000062415544,0.0002796764,3.0790395e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005413776,0.00030169587,0.9004745,0.000031648,0.000025688847,0.00016470769,0.098109335,0.000065425505,0.00009552428,0.000062466075,0.000024054472,0.00059080403],"study_design_scores_gemma":[0.00040966045,0.000070951886,0.894671,0.00003829829,0.000023198652,0.0000030709252,0.1034213,0.00001971915,0.00029675086,0.00092082575,0.000031132822,0.00009405706],"about_ca_topic_score_codex":0.12877114,"about_ca_topic_score_gemma":0.2163604,"teacher_disagreement_score":0.087589264,"about_ca_system_score_codex":0.0003561649,"about_ca_system_score_gemma":0.0006643851,"threshold_uncertainty_score":0.87703043},"labels":[],"label_agreement":null},{"id":"W3128795561","doi":"10.5198/jtlu.2021.1808","title":"needs-gap analysis of street space allocation","year":2021,"lang":"en","type":"article","venue":"Journal of Transport and Land Use","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Montréal; Polytechnique Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Ministère des Transports","keywords":"Borough; TRIPS architecture; Transport engineering; Equity (law); Space (punctuation); Computer science; Business; Geography; Engineering","score_opus":0.03217030822992198,"score_gpt":0.2927892756140064,"score_spread":0.2606189673840844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3128795561","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979003,0.00045172058,0.0004312074,0.00058816513,0.000086462605,0.000027425147,0.000017709948,0.000004103477,0.00049290113],"genre_scores_gemma":[0.99866325,0.0005717453,0.00029097384,0.000035031102,0.000075624615,1.7594574e-7,0.000016159156,0.0000028570178,0.00034418437],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99915254,0.000039862065,0.00034710695,0.000073853036,0.00028251513,0.00010414797],"domain_scores_gemma":[0.9992789,0.000057271856,0.00020997618,0.00008349713,0.00026447806,0.00010587227],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042466365,0.000059307622,0.0002892092,0.0001719963,0.00007706897,0.000023502635,0.000082802406,0.00006144888,0.00017712986],"category_scores_gemma":[0.000022982707,0.000047143007,0.00020117068,0.0007299088,0.00008140216,0.00035821125,0.0000018454218,0.000092568975,1.0642693e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003899581,0.00008188558,0.9949093,0.000014161201,0.0003099833,0.000026992127,0.0036140403,0.000063122556,0.0001452992,0.00042279495,0.00002787481,0.00034554175],"study_design_scores_gemma":[0.00026933308,0.000022226966,0.99238604,0.000021029555,0.0011328163,4.109392e-7,0.0014405267,0.000015272706,0.0002080952,0.00012543755,0.0043202303,0.00005858957],"about_ca_topic_score_codex":0.0013811497,"about_ca_topic_score_gemma":0.0239921,"teacher_disagreement_score":0.022610951,"about_ca_system_score_codex":0.000010671437,"about_ca_system_score_gemma":0.0001560025,"threshold_uncertainty_score":0.9938175},"labels":[],"label_agreement":null},{"id":"W3128864884","doi":"10.23881/idupbo.020.2-10e","title":"MONTREAL Y LA RESIDENCIA EN SU ESPACIO CENTRAL: EL CASO DE SAINTE-MARIE DESDE LA PERSPECTIVA DE SU ATRACCIÓN","year":2021,"lang":"es","type":"article","venue":"Revista Investigación & Desarrollo","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Humanities; Political science; Art; Philosophy","score_opus":0.014113211398595135,"score_gpt":0.3004095959813506,"score_spread":0.28629638458275547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3128864884","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97029334,0.009179232,0.000368186,0.0044335322,0.00028104844,0.0006543069,0.00018820557,0.0003363014,0.01426585],"genre_scores_gemma":[0.98966646,0.0029320177,0.001979568,0.00059580995,0.0010966039,0.000041004332,0.00006849893,0.00013103703,0.0034889881],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99016756,0.0037693577,0.0011349714,0.0015834082,0.0011411273,0.0022035684],"domain_scores_gemma":[0.993969,0.002357722,0.0005038586,0.0011822939,0.00034322418,0.0016438689],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.003919377,0.00087791454,0.0012171341,0.0001883576,0.00091579126,0.002534983,0.0012359794,0.001069815,0.0005129204],"category_scores_gemma":[0.004677471,0.0009245625,0.000870122,0.0014695431,0.0019197268,0.0009156025,0.00020084514,0.0015358882,0.00010632417],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014554894,0.00043900404,0.9179206,0.0005695478,0.00025284092,0.0022815429,0.024570134,0.000074670716,0.0031539917,0.046414036,0.0018023109,0.0023757752],"study_design_scores_gemma":[0.0013160884,0.0001044544,0.85836303,0.0011090138,0.0008754251,0.00006783552,0.0071418365,0.00029864456,0.0014593182,0.019475605,0.10840749,0.0013812493],"about_ca_topic_score_codex":0.031427223,"about_ca_topic_score_gemma":0.009696654,"teacher_disagreement_score":0.10660518,"about_ca_system_score_codex":0.0018589124,"about_ca_system_score_gemma":0.006753734,"threshold_uncertainty_score":0.9993205},"labels":[],"label_agreement":null},{"id":"W3128965503","doi":"10.32866/001c.19088","title":"Changes in Commute Mode Attributed to COVID-19 Risk in Canadian National Survey Data","year":2021,"lang":"en","type":"article","venue":"Findings","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia; Toronto Metropolitan University","funders":"Canadian Institutes of Health Research","keywords":"Coronavirus disease 2019 (COVID-19); Public transport; 2019-20 coronavirus outbreak; Mode (computer interface); Demographic economics; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Cycling; Survey data collection; Rail transit; Geography; Demography; Transport engineering; Business; Medicine; Economics; Statistics; Engineering; Computer science; Sociology; Mathematics","score_opus":0.17124443062502215,"score_gpt":0.4027908266750823,"score_spread":0.23154639605006017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3128965503","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9844479,0.000033888107,0.00003541845,0.009169517,0.000116403695,0.000158752,0.00470884,0.000017163127,0.0013121427],"genre_scores_gemma":[0.99604446,0.00002144214,0.00009865126,0.0014689538,0.000037574122,0.000007937692,0.0019920354,0.000004562036,0.00032441292],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99859494,0.00028877973,0.00014890595,0.00030829664,0.0002831534,0.00037594512],"domain_scores_gemma":[0.9990239,0.00026618564,0.00002850778,0.00023157688,0.000083500665,0.0003663099],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032851622,0.00006571249,0.00013226291,0.00017803888,0.00024897952,0.00006773717,0.0005454587,0.000088523135,0.00046492516],"category_scores_gemma":[0.0032860881,0.00007634837,0.0000120754985,0.0011430033,0.00005621991,0.00020160683,0.00006694042,0.00016606023,0.000020852094],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000058343994,0.000022170581,0.9901268,0.000004012866,0.0000028521158,0.000017560986,0.004585372,0.00002934785,0.000004850245,0.00018863112,0.004914749,0.00009784183],"study_design_scores_gemma":[0.00017560131,0.00000256143,0.9383763,0.000008404992,0.0000017745499,6.4717504e-8,0.00032312842,0.00013443208,0.000012917033,0.00054708356,0.06032436,0.00009337107],"about_ca_topic_score_codex":0.98043376,"about_ca_topic_score_gemma":0.9999395,"teacher_disagreement_score":0.05540961,"about_ca_system_score_codex":0.000751203,"about_ca_system_score_gemma":0.0025493915,"threshold_uncertainty_score":0.50906044},"labels":[],"label_agreement":null},{"id":"W3129041198","doi":"10.1155/2021/8825521","title":"Modelling of User Behaviour for Static Rebalancing of Bike Sharing System: Transfer of Demand from Bike-Shortage Stations to Neighbouring Stations","year":2021,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Bike sharing; Economic shortage; Context (archaeology); Order (exchange); Plan (archaeology); Transport engineering; Transfer (computing); Computer science; Metro station; Operations research; Set (abstract data type); Engineering; Business","score_opus":0.033830589917162125,"score_gpt":0.30549421847436786,"score_spread":0.2716636285572057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3129041198","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.60142267,0.00011484401,0.39764434,0.000041684674,0.00012904404,0.00022949076,0.0003951239,0.0000070894553,0.000015723574],"genre_scores_gemma":[0.951991,0.0000723723,0.047729086,0.0000067124315,0.0000494994,0.000009971842,0.00010074425,0.000018836683,0.00002173341],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9975126,0.000051050672,0.0014937499,0.00021027544,0.0005269123,0.00020543183],"domain_scores_gemma":[0.9976633,0.00025317282,0.0006130988,0.00014935384,0.0011956311,0.00012543352],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004797078,0.0001276822,0.0005030943,0.0002021936,0.00014121803,0.000018371584,0.00017856306,0.0000711892,0.000031235555],"category_scores_gemma":[0.000047489055,0.00013329505,0.00023105665,0.000479476,0.000060680766,0.0008024069,0.0000016406605,0.00012462372,8.527027e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024875655,0.0001980794,0.1779405,0.00060701236,0.000111489404,0.000010555392,0.04276279,0.73924667,0.03646577,0.0020305552,0.000001967514,0.00037585758],"study_design_scores_gemma":[0.0034456798,0.0003482518,0.81714904,0.0026528225,0.0013509511,7.166134e-7,0.075991094,0.003872368,0.09049601,0.004176154,0.00006757077,0.0004493264],"about_ca_topic_score_codex":0.000892376,"about_ca_topic_score_gemma":0.004857183,"teacher_disagreement_score":0.7353743,"about_ca_system_score_codex":0.0000757147,"about_ca_system_score_gemma":0.00032057404,"threshold_uncertainty_score":0.5435614},"labels":[],"label_agreement":null},{"id":"W3129127067","doi":"10.1111/cag.12675","title":"Comparison of apportionment methods for assigning trip data to rezoned traffic analysis zones: A case study of Toronto, Canada","year":2021,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Queen's University","funders":"","keywords":"Apportionment; Comparability; Population; Land use; Residential area; Wilcoxon signed-rank test; Transport engineering; Geography; Computer science; Statistics; Engineering; Civil engineering; Mathematics; Environmental health","score_opus":0.06462721208587265,"score_gpt":0.366470579994021,"score_spread":0.30184336790814836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3129127067","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9930262,0.00333728,0.0003609317,0.00032474805,0.00049842766,0.001162496,0.0010517173,0.00003008252,0.00020814814],"genre_scores_gemma":[0.99485385,0.000102254344,0.0043591014,0.0000804522,0.000054763834,0.00011744408,0.00032552992,0.000024512477,0.00008209043],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9959991,0.0004597626,0.00118822,0.00091571733,0.00046675085,0.0009704445],"domain_scores_gemma":[0.99571294,0.00051501713,0.00044631242,0.0013409116,0.00068692304,0.0012978985],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001595699,0.00032294705,0.0011513456,0.0012659125,0.0010022437,0.00007506976,0.00094307336,0.00014396578,0.0001888208],"category_scores_gemma":[0.00044401313,0.00035994645,0.00034017072,0.007565046,0.0005678032,0.00032842212,0.000065599634,0.00012811404,5.238943e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049679747,0.00042685127,0.9201862,0.00013010598,0.002713858,0.00038009422,0.04140748,0.0007275918,0.000024906243,0.00022464918,0.0030385598,0.030689973],"study_design_scores_gemma":[0.0006907187,0.00032420663,0.17082344,0.00003901264,0.0026787915,0.000007280309,0.80192095,0.00039780387,0.00004509927,0.000037582882,0.022352522,0.00068258],"about_ca_topic_score_codex":0.9996039,"about_ca_topic_score_gemma":0.99999964,"teacher_disagreement_score":0.7605135,"about_ca_system_score_codex":0.00034493738,"about_ca_system_score_gemma":0.002740895,"threshold_uncertainty_score":0.99988526},"labels":[],"label_agreement":null},{"id":"W3129200117","doi":"10.3390/ijerph18041968","title":"The Effect of Season and Neighbourhood-Built Environment on Home Area Sedentary Behaviour in 9–14 Year Old Children","year":2021,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University; Memorial University of Newfoundland; University of Saskatchewan","funders":"Canadian Institutes of Health Research","keywords":"Neighbourhood (mathematics); Geography; Demography; sed; Destinations; Multilevel model; Sedentary behavior; Physical activity; Environmental health; Medicine; Tourism","score_opus":0.03065663570680191,"score_gpt":0.3564588848416671,"score_spread":0.3258022491348652,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3129200117","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.989262,0.0014364917,0.0000034651457,0.008763846,0.00009930808,0.00014720822,0.000051736377,0.0000013165694,0.00023463156],"genre_scores_gemma":[0.99304146,0.0065505086,0.000014925263,0.00008764972,0.00012199253,0.0000028665754,0.000013539676,0.000005274176,0.00016178434],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973686,0.00057418505,0.0003209377,0.00015733043,0.0012727669,0.00030619273],"domain_scores_gemma":[0.999006,0.0004299561,0.00013961992,0.00009448738,0.000026454614,0.00030349218],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034607195,0.00007272335,0.00015383709,0.000116764,0.00022216061,0.00010848309,0.00029087617,0.000045437297,0.00030615146],"category_scores_gemma":[0.00013444354,0.00005254649,0.000048914873,0.00007302804,0.0004411501,0.00022628036,0.00008690766,0.00040470908,0.0000021896342],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011339711,0.0002503571,0.9771378,0.000004096237,0.000031567786,0.000022471864,0.00049334735,0.0000010210218,0.00003969252,0.00015403367,0.000077215096,0.021675019],"study_design_scores_gemma":[0.0007906726,0.0005819822,0.99619186,0.000036408564,0.0000020638136,0.000006918519,0.0008801569,0.0000023536963,0.00009774679,0.00031195706,0.0010569991,0.00004090523],"about_ca_topic_score_codex":0.0010892604,"about_ca_topic_score_gemma":0.0010421076,"teacher_disagreement_score":0.021634113,"about_ca_system_score_codex":0.00036064707,"about_ca_system_score_gemma":0.0002138757,"threshold_uncertainty_score":0.33521438},"labels":[],"label_agreement":null},{"id":"W3129713328","doi":"10.1016/j.ypmed.2021.106470","title":"Active school transportation and the built environment across Canadian cities: Findings from the child active transportation safety and the environment (CHASE) study","year":2021,"lang":"en","type":"article","venue":"Preventive Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":67,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University; Parachute; Institut National de la Recherche Scientifique; Alberta Children's Hospital; University of Toronto; Toronto Metropolitan University; SickKids Foundation; University of Calgary; Institute for Clinical Evaluative Sciences; York University; Hospital for Sick Children","funders":"Canadian Institutes of Health Research; Michael Smith Health Research BC","keywords":"Built environment; Psychological intervention; Context (archaeology); Level design; Medicine; Environmental health; Transport engineering; Geography; Demography; Gerontology; Engineering; Civil engineering","score_opus":0.01152405004180233,"score_gpt":0.2670744224813057,"score_spread":0.25555037243950335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3129713328","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9728951,0.0015997627,0.00036357183,0.022080893,0.00011560982,0.0019097348,0.0005269438,0.00001167489,0.00049674156],"genre_scores_gemma":[0.9969771,0.0015109002,0.0000095013365,0.00054039725,0.0001630396,0.00013083099,0.00022368027,0.000011521064,0.00043303324],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99762243,0.0006483991,0.00039067713,0.00046220963,0.00056057784,0.00031568581],"domain_scores_gemma":[0.998638,0.0007122325,0.00015918732,0.000268327,0.0000353476,0.00018692997],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015371247,0.00020650984,0.00035111365,0.00001945877,0.001814188,0.00005006102,0.00024242759,0.00007266514,0.0010817561],"category_scores_gemma":[0.00011494454,0.0001069598,0.00008359918,0.00014369472,0.0025586716,0.00024436502,0.000010088178,0.00037393975,0.0000033797999],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010892951,0.0001248261,0.33161008,0.0000096151325,0.00039038158,0.000016319143,0.6592361,0.000015272055,0.00002014224,0.0010819993,0.00003810618,0.0063678697],"study_design_scores_gemma":[0.0046723317,0.00003710264,0.80145055,0.000046064837,0.0003310444,1.2406764e-7,0.18797792,0.0000065769186,0.00005264646,0.0019566428,0.0033666068,0.00010238215],"about_ca_topic_score_codex":0.3085397,"about_ca_topic_score_gemma":0.6724039,"teacher_disagreement_score":0.47125816,"about_ca_system_score_codex":0.00017956765,"about_ca_system_score_gemma":0.00013061178,"threshold_uncertainty_score":0.9998314},"labels":[],"label_agreement":null},{"id":"W3129953494","doi":"","title":"Relentless Automobility: An analysis from three perspectives","year":2020,"lang":"en","type":"article","venue":"Flux","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Vision; Paradigm shift; Mobilities; Public transport; Politics; Perspective (graphical); Regional science; Car ownership; Urban planning; Transportation planning; Political science; Business; Transport engineering; Sociology; Geography; Engineering; Computer science","score_opus":0.03868180291172362,"score_gpt":0.3122655202742765,"score_spread":0.2735837173625529,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3129953494","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9860897,0.00020416855,0.0013569812,0.0022823652,0.000060278227,0.00011099284,0.000049008315,0.00019417446,0.009652346],"genre_scores_gemma":[0.9989563,0.000007679279,0.00025518815,0.00015913388,0.00038793127,0.000004952224,0.00004853538,0.000005539297,0.00017469385],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988688,0.00009594023,0.00014521321,0.0004175463,0.00028532086,0.0001871447],"domain_scores_gemma":[0.99938333,0.000052950043,0.000043438875,0.0002396247,0.00007001658,0.00021066864],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00021084369,0.00008104497,0.00019760567,0.000030884854,0.00025270804,0.000075516575,0.00033161268,0.000071289905,0.0052331146],"category_scores_gemma":[0.000085847845,0.00007591773,0.00015263206,0.0006890171,0.00021075708,0.00050567,0.000017756478,0.00010884412,0.00007491341],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013930411,0.000069704925,0.95587516,0.0000020395944,0.00009698482,0.0000032597352,0.04155917,0.000015029615,0.000056311826,0.0014369114,0.0000945872,0.00077691145],"study_design_scores_gemma":[0.00010341288,0.000020800338,0.97798246,0.0000013824291,0.0002208964,2.4027589e-9,0.015454157,0.000997777,0.00007078803,0.0017361839,0.0032918942,0.00012024309],"about_ca_topic_score_codex":0.01030767,"about_ca_topic_score_gemma":0.052222874,"teacher_disagreement_score":0.041915204,"about_ca_system_score_codex":0.00006127101,"about_ca_system_score_gemma":0.000099030025,"threshold_uncertainty_score":0.99628276},"labels":[],"label_agreement":null},{"id":"W3130040591","doi":"10.1257/pandp.20211074","title":"Changing Population Exposure to Pollution in China’s Special Economic Zones","year":2021,"lang":"en","type":"article","venue":"AEA Papers and Proceedings","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Booth University College","funders":"","keywords":"China; Pollution; Zhàng; Population; Air pollution; Special economic zone; Natural resource economics; Geography; Environmental science; Economics; Environmental health","score_opus":0.009495195472408369,"score_gpt":0.250970949032113,"score_spread":0.2414757535597046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3130040591","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96058285,0.000071092225,0.0000011622127,0.0025256372,0.00021159223,0.00009682226,0.000002320914,0.000020141892,0.03648837],"genre_scores_gemma":[0.998079,0.00003845913,0.00008154237,0.00016293279,0.0008739502,0.000005168004,0.0000057126035,0.000004173924,0.00074907736],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994016,0.000006221139,0.00011766835,0.00020111358,0.00008200652,0.00019136499],"domain_scores_gemma":[0.9998593,0.0000042390543,0.000029621007,0.000024488858,0.00001681575,0.00006554982],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024278887,0.000060020047,0.00009550282,0.00006328451,0.00022715042,0.000085843276,0.0000469326,0.00005812614,0.0001886325],"category_scores_gemma":[0.000023080154,0.00006245592,0.000024437824,0.00020050017,0.000026377767,0.0002766373,0.000013782665,0.000051136536,0.000004178169],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014884427,0.000012686812,0.9536584,0.000014012001,0.000002603787,0.0000017227705,0.021218328,0.0000026055382,0.0003216387,0.008943673,0.00010156215,0.015707854],"study_design_scores_gemma":[0.00012456498,0.000014640177,0.98872215,0.000020685016,0.000004343512,2.9999507e-7,0.004506267,0.000004293514,0.00009195452,0.0012422521,0.0051775095,0.000091060036],"about_ca_topic_score_codex":0.001438119,"about_ca_topic_score_gemma":0.009788545,"teacher_disagreement_score":0.03749612,"about_ca_system_score_codex":0.00007057169,"about_ca_system_score_gemma":0.00003341583,"threshold_uncertainty_score":0.5462238},"labels":[],"label_agreement":null},{"id":"W3130254912","doi":"10.1155/2021/8895057","title":"Exploring the Effect of Bicycle Infrastructure on Car Usage: A Case Study in Huhhot, China","year":2021,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Natural Science Foundation of Inner Mongolia; National Natural Science Foundation of China","keywords":"Mixed logit; Logit; Transport engineering; China; Preference; Discrete choice; Investment (military); Logistic regression; Business; Econometrics; Statistics; Engineering; Geography; Economics; Mathematics","score_opus":0.022970611436364058,"score_gpt":0.3182833348815756,"score_spread":0.29531272344521153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3130254912","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.999028,0.00009095751,0.00005150553,0.000114477334,0.00037708943,0.0002527973,0.000005239093,0.000006051228,0.00007385131],"genre_scores_gemma":[0.9996972,0.000041577445,0.00013501087,0.000008006471,0.000092616225,0.000007286908,0.0000022816132,0.0000071113027,0.000008883947],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99859005,0.00023134009,0.0005028032,0.00012693746,0.0004103754,0.00013849615],"domain_scores_gemma":[0.9992362,0.00017547113,0.000300812,0.000120709126,0.00011265733,0.000054149434],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074948417,0.00009746373,0.00026061625,0.00008880087,0.00014592435,0.00001676296,0.00012915807,0.00003184388,0.000026396854],"category_scores_gemma":[0.0000792366,0.00006676211,0.000118900236,0.0005438288,0.0000644787,0.00066280545,0.0000011889576,0.0003059623,1.6832455e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028001113,0.00013381164,0.889022,0.00003908694,0.00002871767,0.0021671841,0.070572756,0.023612635,0.0009495557,0.000023325403,0.0000012798116,0.01316965],"study_design_scores_gemma":[0.0011222875,0.00039823467,0.97102773,0.000067799185,0.00006103874,0.000009010134,0.02468347,0.000002321279,0.0023553104,0.0001604407,0.000050148505,0.00006222144],"about_ca_topic_score_codex":0.00060749566,"about_ca_topic_score_gemma":0.013531052,"teacher_disagreement_score":0.08200573,"about_ca_system_score_codex":0.000057427682,"about_ca_system_score_gemma":0.00010650277,"threshold_uncertainty_score":0.7550644},"labels":[],"label_agreement":null},{"id":"W3130872075","doi":"10.1155/2021/8861841","title":"What Factors Contribute to Higher Travel Happiness? Evidence from Beijing, China","year":2021,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China; U.S. Department of Transportation","keywords":"Happiness; Beijing; TRIPS architecture; Public transport; Travel behavior; Psychology; China; Mode choice; Context (archaeology); Transport engineering; Geography; Advertising; Business; Social psychology; Engineering","score_opus":0.026461849111454584,"score_gpt":0.31980254216291787,"score_spread":0.29334069305146326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3130872075","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98688585,0.0021407385,0.005227801,0.0029236423,0.002556653,0.00014420616,0.000036824073,0.000019503084,0.00006480768],"genre_scores_gemma":[0.99613917,0.0010134337,0.0018637809,0.00013780082,0.00038856053,0.000002602262,0.00004873888,0.000011971265,0.00039397023],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981169,0.00008042459,0.00065121375,0.00023870767,0.0006604101,0.0002523504],"domain_scores_gemma":[0.9984581,0.00016669638,0.00040274256,0.00013897366,0.0005796686,0.00025384285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034982216,0.0001460079,0.00035585923,0.000070656424,0.00020868765,0.00014200654,0.00024134973,0.000097342025,0.0005243174],"category_scores_gemma":[0.00013313907,0.00013133266,0.00020582654,0.00044792856,0.00006657621,0.00337567,0.0000017556348,0.00022378078,0.000003538278],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045802712,0.0002779373,0.8643705,0.00005190627,0.00014520083,0.00027355418,0.07771644,0.0036388815,0.042316504,0.00062599283,0.00017745681,0.009947564],"study_design_scores_gemma":[0.0004985239,0.00004938615,0.98100495,0.00044903846,0.00008939159,1.7674257e-7,0.006546951,7.0774234e-7,0.0060777343,0.0015623913,0.0035662279,0.00015452833],"about_ca_topic_score_codex":0.00040972143,"about_ca_topic_score_gemma":0.0059745423,"teacher_disagreement_score":0.116634406,"about_ca_system_score_codex":0.000100864934,"about_ca_system_score_gemma":0.00027734236,"threshold_uncertainty_score":0.5740907},"labels":[],"label_agreement":null},{"id":"W3131680422","doi":"10.17645/up.v6i1.3612","title":"The Precarious Absence of Disability Perspectives in Planning Research","year":2021,"lang":"en","type":"article","venue":"Urban Planning","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Dalhousie University; Rick Hansen Foundation","keywords":"Scholarship; Population; Urban planning; Land-use planning; Discipline; Environmental planning; Built environment; Public relations; Sociology; Land use; Political science; Geography; Engineering; Social science; Civil engineering","score_opus":0.1093252558150475,"score_gpt":0.42115197949138783,"score_spread":0.31182672367634034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3131680422","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9659106,0.0066469144,0.000021110613,0.0006571859,0.0001239304,0.00015350513,0.0000045960396,0.000028955521,0.02645318],"genre_scores_gemma":[0.99888766,0.000021505146,0.00008635015,0.0000066669895,0.00013325879,0.000010795127,0.0000029485266,0.000005905986,0.0008448839],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99788004,0.0004991502,0.00027341687,0.00033268906,0.0005646062,0.00045011129],"domain_scores_gemma":[0.9981091,0.0012515966,0.00006323338,0.00030103463,0.0002049929,0.00007004449],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028334076,0.00007679681,0.00015681073,0.000038503767,0.0007638786,0.0001167233,0.00037592644,0.00007939219,0.00005362547],"category_scores_gemma":[0.0010860349,0.000062627434,0.000056779198,0.00075035676,0.0014244883,0.00020152767,0.000058430564,0.00043089534,0.0000025328463],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002415537,0.00006362737,0.8640063,0.000012288647,0.0000060872135,0.000024052939,0.13182175,0.000045219836,0.00010761201,0.0032291848,0.00028457382,0.00037515973],"study_design_scores_gemma":[0.00011814931,0.000014563947,0.88560396,0.00011057667,0.0000026370474,2.022144e-7,0.10530298,0.00004459092,0.00022429634,0.0032491325,0.0052428753,0.00008604273],"about_ca_topic_score_codex":0.0022763978,"about_ca_topic_score_gemma":0.0025929436,"teacher_disagreement_score":0.032977063,"about_ca_system_score_codex":0.00018833387,"about_ca_system_score_gemma":0.00031787588,"threshold_uncertainty_score":0.5875214},"labels":[],"label_agreement":null},{"id":"W3132108758","doi":"10.1080/2159676x.2021.1888153","title":"Easy as riding a bike? Bicycling competence as (re)learning to negotiate space","year":2021,"lang":"en","type":"article","venue":"Qualitative Research in Sport Exercise and Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Etiquette; Competence (human resources); Negotiation; Psychology; Transport engineering; Applied psychology; Assertiveness; Engineering; Public relations; Social psychology; Sociology; Political science","score_opus":0.2682529135168258,"score_gpt":0.576738215929666,"score_spread":0.3084853024128402,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3132108758","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96344596,0.0028068468,0.0000532612,0.016520727,0.000093242015,0.0006934728,0.0000058595947,0.000059183978,0.01632147],"genre_scores_gemma":[0.9904181,0.0050076665,0.001115084,0.0003542888,0.000120033284,0.00005486017,0.000017324644,0.000020229987,0.0028924618],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9947012,0.0014445082,0.0005757466,0.00077225757,0.0012780944,0.0012281653],"domain_scores_gemma":[0.9975502,0.000723274,0.00013011845,0.00024394244,0.00046261825,0.0008898312],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.019368399,0.00017155323,0.0005773523,0.0003882239,0.0014926611,0.00018438403,0.00027775508,0.00010933162,0.0003095641],"category_scores_gemma":[0.0006795888,0.0001762223,0.00007079165,0.0022763314,0.00047341152,0.00040703116,0.00012159958,0.0009254513,0.00012300935],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025344494,0.00021307926,0.41045114,0.00037865926,0.000011380311,0.00022659833,0.5442679,0.00002890521,0.000057906727,0.033506,0.00020236248,0.010402627],"study_design_scores_gemma":[0.00085043674,0.00030019053,0.18536921,0.002049305,0.000006260503,0.0000010883327,0.76257944,0.000042776832,0.00025258533,0.030101424,0.018023448,0.00042384546],"about_ca_topic_score_codex":0.06778666,"about_ca_topic_score_gemma":0.023789188,"teacher_disagreement_score":0.22508194,"about_ca_system_score_codex":0.00036130598,"about_ca_system_score_gemma":0.0026536477,"threshold_uncertainty_score":0.99980724},"labels":[],"label_agreement":null},{"id":"W3132298587","doi":"10.21810/jicw.v3i3.2565","title":"Leveraging Big Data to Detect Amenity Gaps to Improve Public Safety","year":2021,"lang":"en","type":"article","venue":"The Journal of Intelligence Conflict and Warfare","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Amenity; Big data; Key (lock); Presentation (obstetrics); Public security; Business; Data science; Computer security; Environmental planning; Geography; Computer science; Public relations; Political science; Finance; Data mining","score_opus":0.15780334687737316,"score_gpt":0.35376746973283024,"score_spread":0.19596412285545708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3132298587","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9420019,0.0030005856,0.034409907,0.01789508,0.0009987884,0.0002535721,0.000047857127,0.000021770204,0.001370541],"genre_scores_gemma":[0.99642223,0.001126355,0.00042036816,0.0010886738,0.0005154949,8.925931e-7,0.0000032166893,0.000007757388,0.00041502775],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99830675,0.00023023479,0.0004788926,0.00021551123,0.0004354747,0.00033312786],"domain_scores_gemma":[0.99811214,0.000279235,0.00016947785,0.00049423927,0.00057306234,0.00037185056],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027369906,0.00012429354,0.0002455574,0.00007685849,0.0006227402,0.00021357849,0.0011601333,0.00005844967,0.000205958],"category_scores_gemma":[0.00093539356,0.000085544365,0.00006282587,0.0005419994,0.00016387702,0.0003824033,0.00023879409,0.00032445398,0.000012698728],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003466857,0.000089966976,0.0318131,0.00005132599,0.00014068381,0.000073877185,0.07377459,0.00004725063,0.009029516,0.00042748146,0.0016672955,0.8825382],"study_design_scores_gemma":[0.00029407945,0.0003124129,0.057471197,0.0002699154,0.0001797254,0.000039540577,0.05577898,0.00006371827,0.03897378,0.0018677333,0.8441359,0.00061301107],"about_ca_topic_score_codex":0.00079346175,"about_ca_topic_score_gemma":0.0026234551,"teacher_disagreement_score":0.8819252,"about_ca_system_score_codex":0.000064489715,"about_ca_system_score_gemma":0.00043602346,"threshold_uncertainty_score":0.4789677},"labels":[],"label_agreement":null},{"id":"W3132800520","doi":"10.1016/j.socscimed.2021.113773","title":"Geographic access to COVID-19 healthcare in Brazil using a balanced float catchment area approach","year":2021,"lang":"en","type":"article","venue":"Social Science & Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":139,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Catchment area; Health care; Pandemic; Geography; Population; Inequality; Unit (ring theory); Business; Economic growth; Coronavirus disease 2019 (COVID-19); Environmental health; Medicine; Drainage basin; Economics; Cartography","score_opus":0.09658827842592481,"score_gpt":0.43124571805510165,"score_spread":0.3346574396291768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3132800520","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94521135,0.00040167652,0.0011824247,0.043233845,0.0006226295,0.0006042008,0.000011153428,0.000082231396,0.0086505],"genre_scores_gemma":[0.99075675,0.000040685354,0.000119563265,0.008374913,0.00056748727,0.000033794724,0.0000145922,0.000007824643,0.000084369814],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9960231,0.00022602489,0.00042574495,0.0008190691,0.0015754653,0.0009305592],"domain_scores_gemma":[0.9983473,0.000076789154,0.00012562638,0.00025898046,0.00030238638,0.00088891515],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0032216725,0.00017494988,0.00041460758,0.0002933824,0.0019269666,0.00015824653,0.0010062266,0.000121458346,0.00024394998],"category_scores_gemma":[0.00086630596,0.00015730555,0.000074384785,0.006444929,0.002369262,0.0006450721,0.0001105012,0.0002667657,0.0000017915021],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019482268,0.000107215244,0.91987664,0.000052127878,0.0000035860476,0.000029338697,0.07500237,0.000023982164,0.0007347084,0.0016450764,0.00031688588,0.0021885685],"study_design_scores_gemma":[0.0017387139,0.00007334123,0.922867,0.00018452106,0.00004434164,0.0000021855144,0.054588567,0.00017737172,0.00020582532,0.008146238,0.011306486,0.00066540926],"about_ca_topic_score_codex":0.050792534,"about_ca_topic_score_gemma":0.03437576,"teacher_disagreement_score":0.045545433,"about_ca_system_score_codex":0.0010183353,"about_ca_system_score_gemma":0.0036969248,"threshold_uncertainty_score":0.99937236},"labels":[],"label_agreement":null},{"id":"W3133341912","doi":"10.1007/s11116-021-10181-9","title":"Impacts of Pokémon GO on route and mode choice decisions: exploring the potential for integrating augmented reality, gamification, and social components in mobile apps to influence travel decisions","year":2021,"lang":"en","type":"article","venue":"Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":39,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Education and Child Care","funders":"","keywords":"Incentive; Mode choice; Mode (computer interface); Perception; Travel behavior; Ordered probit; Internet privacy; Psychology; Human–computer interaction; Computer science; Public transport; Engineering; Transport engineering; Economics; Microeconomics","score_opus":0.09060493156517965,"score_gpt":0.36410340003383906,"score_spread":0.27349846846865944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3133341912","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9914953,0.000073042655,0.0068942765,0.00063683884,0.00005962548,0.000648265,0.00015136987,0.0000151098175,0.00002616323],"genre_scores_gemma":[0.9984714,0.00014603972,0.00096181355,0.000062403946,0.000028800416,0.00013535887,0.00017392419,0.000008041432,0.000012229723],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986832,0.00008383354,0.0004546494,0.0002869121,0.00030841643,0.00018298248],"domain_scores_gemma":[0.9990981,0.00039735212,0.00011710958,0.000117474905,0.00019766734,0.000072282484],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053132017,0.00010266993,0.00018464505,0.00007320071,0.00038769556,0.00005099912,0.00012368237,0.000059964532,0.000004098758],"category_scores_gemma":[0.00021310535,0.00008785343,0.000049575858,0.00034454156,0.00010255144,0.00036358394,0.000004174441,0.000102622966,3.1573174e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007407996,0.0006650904,0.64972436,0.00012187718,0.000056452067,0.0000070437204,0.18883607,0.0044333404,0.066379756,0.008870452,0.00003981798,0.08012492],"study_design_scores_gemma":[0.000494147,0.00003302582,0.98894507,0.00015793167,0.000028650053,6.093144e-8,0.006948208,0.00032130533,0.0011277342,0.0017556648,0.0000974177,0.000090797206],"about_ca_topic_score_codex":0.005262988,"about_ca_topic_score_gemma":0.06251015,"teacher_disagreement_score":0.33922067,"about_ca_system_score_codex":0.000049360926,"about_ca_system_score_gemma":0.00008635156,"threshold_uncertainty_score":0.9545966},"labels":[],"label_agreement":null},{"id":"W3133421459","doi":"10.1016/j.socscimed.2021.113775","title":"Understanding urban accessibility: A community-engaged pilot study of entrance features","year":2021,"lang":"en","type":"article","venue":"Social Science & Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alberta Hospital Edmonton; Alberta Environment and Protected Areas; Alberta Health; University of Alberta","funders":"Canadian Institutes of Health Research","keywords":"Web accessibility; Equity (law); Government (linguistics); Geography; Environmental planning; Transport engineering; Business; Political science; Engineering; Computer science","score_opus":0.20010095221832694,"score_gpt":0.3914504068721584,"score_spread":0.19134945465383144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3133421459","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94983894,0.00018613934,0.0001690826,0.0013478165,0.00055294414,0.00038861003,0.0000045999236,0.00007847843,0.0474334],"genre_scores_gemma":[0.9990308,0.000013454188,0.000009562697,0.00020450514,0.00043279905,0.000008789648,0.000004131678,0.000007937301,0.00028797396],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9937704,0.0031146244,0.0004530548,0.0004330368,0.0016634898,0.0005653595],"domain_scores_gemma":[0.99792165,0.0008364321,0.00022201435,0.0004030168,0.00039369144,0.00022319535],"candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0142866075,0.00015845848,0.0004375059,0.00012223757,0.009494641,0.00009241818,0.0010967375,0.000059433267,0.00032442546],"category_scores_gemma":[0.0032335941,0.000135818,0.00005306203,0.0030218603,0.005173713,0.00063335075,0.00008272323,0.0014442968,9.3443185e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049496037,0.0011521872,0.47825137,0.000030291121,0.000015583759,0.00001027619,0.50965106,3.3927344e-7,0.005233284,0.004729048,0.0003648529,0.0005122249],"study_design_scores_gemma":[0.0009788367,0.0004254296,0.52642024,0.00005440576,0.00005290334,2.0559501e-7,0.46533322,0.0000011772185,0.00034458583,0.006071977,0.00017311434,0.00014391038],"about_ca_topic_score_codex":0.009132956,"about_ca_topic_score_gemma":0.024075683,"teacher_disagreement_score":0.049191914,"about_ca_system_score_codex":0.00046577505,"about_ca_system_score_gemma":0.0008659315,"threshold_uncertainty_score":0.9975336},"labels":[],"label_agreement":null},{"id":"W3133506860","doi":"10.1136/injuryprev-2020-044085","title":"Injury patterns and circumstances associated with electric scooter collisions: a scoping review","year":2021,"lang":"en","type":"review","venue":"Injury Prevention","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":106,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre for Advancing Health Outcomes; University of British Columbia","funders":"","keywords":"Poison control; Injury prevention; Occupational safety and health; Human factors and ergonomics; Suicide prevention; Forensic engineering; Engineering; Medical emergency; Transport engineering; Medicine","score_opus":0.05273526144058019,"score_gpt":0.4046675577199518,"score_spread":0.3519322962793716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3133506860","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00084887416,0.99549675,0.000096170166,0.000042165386,0.0001954538,0.002729475,0.00008138052,0.000092066024,0.00041765816],"genre_scores_gemma":[0.0005947976,0.9978612,0.00002934775,0.0000733203,0.00014811868,0.00031115368,0.00027623418,0.000034731715,0.0006711138],"study_design_codex":"design_other","study_design_gemma":"systematic_review","domain_scores_codex":[0.9962059,0.0012141658,0.0008756138,0.0007027244,0.0005803986,0.00042115923],"domain_scores_gemma":[0.99830145,0.00021151341,0.00082443276,0.00033535407,0.00019298677,0.0001342595],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0017543089,0.0003613595,0.0016241292,0.00015521687,0.0004582616,0.00019843146,0.0003088508,0.0003472542,0.00036984184],"category_scores_gemma":[0.00033419154,0.0002963312,0.0003768442,0.0013669793,0.000116276984,0.00049841264,0.000043689222,0.00042398446,0.0000075559515],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004771213,0.00012892182,0.0024395802,0.04786636,0.00015995163,0.000011489046,0.000097523596,5.8026433e-9,1.5349023e-7,0.000077993776,0.00024366169,0.9489696],"study_design_scores_gemma":[0.00009671846,0.00010285519,0.0003850676,0.88787615,0.0014971267,0.0000010448022,0.000028873508,1.3990113e-7,0.0000010276253,0.00014463923,0.10937621,0.0004901225],"about_ca_topic_score_codex":0.00015217865,"about_ca_topic_score_gemma":0.0020276366,"teacher_disagreement_score":0.9484795,"about_ca_system_score_codex":0.00024398763,"about_ca_system_score_gemma":0.0014985879,"threshold_uncertainty_score":0.99994886},"labels":[],"label_agreement":null},{"id":"W3133528176","doi":"10.5539/jsd.v14n2p82","title":"Measuring the Impact of Brazilian Transport Systems on the 2030 Agenda Goals","year":2021,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Sustainable development; Sustainable transport; Business; Transport system; Environmental economics; Transport policy; Thematic map; Public transport; Environmental planning; Regional science; Environmental resource management; Sustainability; Transport engineering; Geography; Economics; Political science; Engineering; Ecology","score_opus":0.041367982007653945,"score_gpt":0.30034435273859256,"score_spread":0.2589763707309386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3133528176","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9896721,0.0009023694,0.00009054788,0.0013407917,0.00019504789,0.0002616438,0.0000019155025,0.0000067739334,0.0075287935],"genre_scores_gemma":[0.99530256,0.000070277114,0.000042254,0.000049636274,0.00013185441,0.0000055982573,9.953753e-7,0.000008568915,0.004388229],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976646,0.00023977319,0.0006974032,0.00012443562,0.00086318597,0.0004106572],"domain_scores_gemma":[0.9980185,0.00017843356,0.00045035264,0.00019382738,0.0010494532,0.00010944977],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003970217,0.0001279496,0.00029507672,0.00007621236,0.00067011284,0.00009600415,0.0005092219,0.00006278111,0.00024958598],"category_scores_gemma":[0.00020269184,0.000065115135,0.0002514828,0.0005356949,0.00014721668,0.00026555572,0.000018045424,0.00027524703,0.0000024735384],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003365055,0.00082539534,0.8338688,0.00043068008,0.0011449952,0.0020815358,0.13677606,0.0033529513,0.0007062193,0.010491382,0.006888738,0.003096725],"study_design_scores_gemma":[0.00033731197,0.00006109895,0.8525762,0.00017942555,0.000043539785,0.000008051948,0.11204372,0.0000039672077,0.002378272,0.0005748419,0.031638317,0.00015528707],"about_ca_topic_score_codex":0.0009971561,"about_ca_topic_score_gemma":0.0002211432,"teacher_disagreement_score":0.024749579,"about_ca_system_score_codex":0.00060006627,"about_ca_system_score_gemma":0.003976581,"threshold_uncertainty_score":0.7054285},"labels":[],"label_agreement":null},{"id":"W3133813659","doi":"10.1007/s40572-021-00308-6","title":"The Health Cost of Transport in Cities","year":2021,"lang":"en","type":"review","venue":"Current Environmental Health Reports","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Transport Canada","funders":"Linnéuniversitetet","keywords":"Public transport; Relevance (law); Public health; Public economics; Business; Politics; Environmental planning; Transportation planning; Environmental health; Economics; Transport engineering; Political science; Geography; Medicine; Engineering","score_opus":0.09715297314328669,"score_gpt":0.42213170633868763,"score_spread":0.32497873319540094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3133813659","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0003333519,0.9951709,0.000008128161,0.00021779916,0.0016146745,0.0021867554,0.0001390285,0.000021420174,0.00030797068],"genre_scores_gemma":[0.0034488172,0.9951934,0.000010125516,0.000034560755,0.0001575133,0.00017236543,0.0006643578,0.00002934778,0.00028950238],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99452657,0.0007053234,0.0025385881,0.000639529,0.0008152572,0.0007747569],"domain_scores_gemma":[0.99698806,0.00016636516,0.0019027976,0.0005970187,0.0000070933093,0.00033867592],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0032029839,0.00034049593,0.001803273,0.00008828953,0.0006765313,0.00002286545,0.00030748607,0.00016445325,0.00016327354],"category_scores_gemma":[0.000020110565,0.00026196256,0.0005233155,0.00027455224,0.00074404385,0.00011490614,0.000037968148,0.0006347019,0.0000038130488],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000016210154,0.00021908728,0.014876536,0.0059894766,0.000012632392,0.000031253665,0.0013568868,1.7014244e-7,1.6739348e-9,0.00006635958,0.00029076682,0.9771552],"study_design_scores_gemma":[0.000054538978,0.000026132322,0.0046270452,0.0065994975,0.000030004807,0.0000055768787,0.00069268217,6.559898e-8,8.4054435e-8,0.000049710423,0.9877291,0.00018559383],"about_ca_topic_score_codex":0.002197527,"about_ca_topic_score_gemma":0.006072174,"teacher_disagreement_score":0.9874383,"about_ca_system_score_codex":0.0013925864,"about_ca_system_score_gemma":0.0034099768,"threshold_uncertainty_score":0.99998325},"labels":[],"label_agreement":null},{"id":"W3134250586","doi":"10.1155/2021/6685004","title":"Analysis of Travel Mode Choice in Seoul Using an Interpretable Machine Learning Approach","year":2021,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":73,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Ministry of Science and ICT, South Korea; National Research Foundation of Korea; Ministry of Science, ICT and Future Planning; National Research Foundation","keywords":"Mode choice; Interpretability; Travel behavior; Multinomial logistic regression; Variable (mathematics); Mode (computer interface); Relation (database); Computer science; Econometrics; Variables; Travel survey; Logit; Gradient boosting; Logistic regression; Artificial intelligence; Machine learning; Mathematics; Random forest; Public transport; Engineering; Data mining; Transport engineering","score_opus":0.02657846570529837,"score_gpt":0.334529398366779,"score_spread":0.3079509326614806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3134250586","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9634075,0.00030369364,0.035919357,0.000021626736,0.00007436516,0.00005469939,0.000014275036,0.000005628483,0.0001988486],"genre_scores_gemma":[0.991039,0.000068454785,0.008726487,0.000011020313,0.00003858544,6.706636e-7,0.000072973744,0.0000073923898,0.00003543677],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985113,0.00013537743,0.0006712752,0.00015905019,0.000366417,0.00015655665],"domain_scores_gemma":[0.99899834,0.000055972247,0.00047843432,0.00008480551,0.0003020697,0.00008039059],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053392205,0.00008554271,0.00040471117,0.00028418438,0.00008546055,0.00001787872,0.00013484582,0.000067606714,0.00006367496],"category_scores_gemma":[0.000053611868,0.00008545459,0.00019900329,0.0013404768,0.00005699425,0.0010624514,9.4083924e-7,0.00026153162,4.1823185e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056712895,0.00018698169,0.50252974,0.00002044153,0.00008501071,0.000009659838,0.012707936,0.476247,0.0071137794,0.000046142057,4.1568896e-8,0.00099658],"study_design_scores_gemma":[0.00056916627,0.000040782474,0.9676634,0.000049492937,0.0005685888,3.871603e-7,0.007109201,0.02241163,0.0012524454,0.00018944225,0.000038020684,0.00010744904],"about_ca_topic_score_codex":0.002172187,"about_ca_topic_score_gemma":0.027474858,"teacher_disagreement_score":0.4651337,"about_ca_system_score_codex":0.00007317199,"about_ca_system_score_gemma":0.00018720877,"threshold_uncertainty_score":0.9902712},"labels":[],"label_agreement":null},{"id":"W3134458388","doi":"10.1159/000513762","title":"Bringing the “Place” to Life-Space in Gerontology Research","year":2021,"lang":"en","type":"article","venue":"Gerontology","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Rehabilitation Institute; University of Toronto","funders":"","keywords":"Space (punctuation); Sophistication; Subject (documents); Gerontology; Psychology; Level design; Sociology; Computer science; Medicine; Social science; Artificial intelligence","score_opus":0.17682234912772488,"score_gpt":0.4416458317889819,"score_spread":0.26482348266125705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3134458388","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8818189,0.0017785467,0.00021724202,0.05426298,0.00051046297,0.0002498026,0.0000016266606,0.00004181844,0.061118636],"genre_scores_gemma":[0.9927706,0.000034184228,0.00027636642,0.00080679776,0.0002475285,0.000042316868,0.0000022639026,0.0000081625185,0.0058117686],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99689525,0.0011655643,0.0002522479,0.0004523126,0.00032538918,0.0009092509],"domain_scores_gemma":[0.9985055,0.0007013087,0.00003525932,0.0003974091,0.00017374137,0.00018680893],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002756699,0.000094548675,0.0002481451,0.000101452664,0.0005583881,0.000060675608,0.00052539934,0.00018833154,0.0010359059],"category_scores_gemma":[0.0012415682,0.00008103393,0.00005363522,0.0007004909,0.0005162644,0.00012432324,0.00010900982,0.00045761093,0.0001345584],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009122229,0.00013810064,0.8942035,0.000018543058,0.000021534437,0.00025156813,0.04824606,0.000031140185,0.00029097227,0.038443457,0.011692212,0.0065717045],"study_design_scores_gemma":[0.00034510563,0.00003744535,0.7611977,0.000017284952,0.000008698873,0.0000035573232,0.014266859,0.00003162005,0.00015888362,0.0032045746,0.22054708,0.000181229],"about_ca_topic_score_codex":0.017431369,"about_ca_topic_score_gemma":0.53075147,"teacher_disagreement_score":0.5133201,"about_ca_system_score_codex":0.00018066252,"about_ca_system_score_gemma":0.00068176305,"threshold_uncertainty_score":0.9998773},"labels":[],"label_agreement":null},{"id":"W3134519538","doi":"10.1155/2021/6374724","title":"Improved Huff Model for Estimating Urban Rail Transit Station Catchment Areas considering Station Choices","year":2021,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Natural Science Research of Jiangsu Higher Education Institutions of China; Nanjing Forestry University","keywords":"Catchment area; Transport engineering; Public transport; Attractiveness; Drainage basin; Service (business); Level of service; Pedestrian; Beijing; China; Computer science; Operations research; Environmental science; Geography; Business; Engineering","score_opus":0.026445282041625655,"score_gpt":0.3199104356228351,"score_spread":0.29346515358120945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3134519538","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.51190335,0.00018097986,0.4868211,0.00038236243,0.00034439942,0.00024882433,0.000055287295,0.000023043012,0.000040688083],"genre_scores_gemma":[0.84351665,0.000057784007,0.15584207,0.000071128685,0.00019601533,0.000017127904,0.00016865402,0.000015626067,0.00011496719],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9981851,0.000051137675,0.00084773207,0.00022499688,0.0004336608,0.00025735458],"domain_scores_gemma":[0.99797994,0.00016908682,0.0006986818,0.00009292118,0.00092324615,0.0001361151],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005652669,0.00014410367,0.0002872283,0.00008444895,0.0003417308,0.00007414907,0.00010676553,0.00008067745,0.000025844229],"category_scores_gemma":[0.000119657954,0.00015057174,0.00018287511,0.00022003894,0.00006764506,0.0015394269,7.285586e-7,0.00016039237,2.3326653e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00072905456,0.00037935545,0.02661736,0.00047488874,0.00015432137,0.000032258715,0.11788587,0.77374405,0.049630385,0.0025730757,0.000078097546,0.027701294],"study_design_scores_gemma":[0.020825615,0.00093176885,0.3801008,0.0014826015,0.0019166578,0.000007478556,0.07544555,0.3583993,0.07475332,0.079483256,0.004409083,0.0022445717],"about_ca_topic_score_codex":0.00012296358,"about_ca_topic_score_gemma":0.0064507085,"teacher_disagreement_score":0.41534472,"about_ca_system_score_codex":0.00014007582,"about_ca_system_score_gemma":0.0005937998,"threshold_uncertainty_score":0.61401373},"labels":[],"label_agreement":null},{"id":"W3134604562","doi":"10.1155/2021/6678637","title":"Optimal Fleet Deployment Strategy: Model the Effect of Shared E-Bikes on Bike-Sharing System","year":2021,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Bike sharing; Software deployment; Computer science; Operations research; Transport engineering; Simulation; Engineering","score_opus":0.020937225204865757,"score_gpt":0.3062810058566118,"score_spread":0.28534378065174604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3134604562","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99587727,0.0003264327,0.0026981295,0.0001631079,0.00025262655,0.00019873322,0.000026563363,0.000021565804,0.00043558495],"genre_scores_gemma":[0.99857527,0.00005324901,0.0011506451,0.000012958438,0.000103736966,0.000006231042,0.000016806378,0.000011926426,0.000069197406],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9983111,0.00009165777,0.00062717794,0.00017021071,0.00061430957,0.00018554914],"domain_scores_gemma":[0.99886215,0.00012608338,0.00049987185,0.00014999037,0.0002773482,0.00008458567],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000730049,0.00012459794,0.0003058523,0.000057681347,0.00020060073,0.000041252722,0.00024931872,0.00006655926,0.00002742468],"category_scores_gemma":[0.000030139214,0.00008598582,0.00022300698,0.0002631248,0.00007401294,0.00054705905,0.0000017398788,0.00020836755,7.658608e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007729166,0.00010295955,0.06285644,0.00025974988,0.00009449123,0.00007593488,0.0076435218,0.91642267,0.0067065577,0.0017664498,0.000017713932,0.0032806182],"study_design_scores_gemma":[0.0069777793,0.002096308,0.82906175,0.0023050308,0.0010521397,0.000006671536,0.02765782,0.0069037974,0.12130943,0.0014529517,0.00045329938,0.00072301656],"about_ca_topic_score_codex":0.000049052465,"about_ca_topic_score_gemma":0.00053727865,"teacher_disagreement_score":0.90951884,"about_ca_system_score_codex":0.000097730306,"about_ca_system_score_gemma":0.00017753863,"threshold_uncertainty_score":0.35064},"labels":[],"label_agreement":null},{"id":"W3134741335","doi":"10.3390/ijerph18052699","title":"The Associations of Built Environment with Older People Recreational Walking and Physical Activity in a Chinese Small-Scale City of Yiwu","year":2021,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Built environment; Recreation; Walkability; Scale (ratio); Psychology; China; Environmental health; Geography; Gerontology; Medicine; Civil engineering; Engineering; Political science; Cartography","score_opus":0.06393229502399711,"score_gpt":0.395244861492214,"score_spread":0.3313125664682169,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3134741335","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9906877,0.00037412014,0.00009540208,0.0084544225,0.00002828467,0.00010148414,0.000053116917,8.1543044e-7,0.0002046113],"genre_scores_gemma":[0.99804044,0.001646374,0.00013966284,0.000016634593,0.00007724752,0.0000032098994,0.0000070980695,0.0000031191412,0.0000662018],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99801075,0.00036738967,0.00025183233,0.00011785513,0.0010471125,0.00020505128],"domain_scores_gemma":[0.9987754,0.0006603164,0.00024187416,0.00006564484,0.000092257294,0.00016448426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022763582,0.000053666066,0.00016275885,0.0000839241,0.00021796607,0.000051802886,0.0001784123,0.00003061197,0.00006842207],"category_scores_gemma":[0.00017240764,0.000037485774,0.000037823364,0.00013892281,0.0004636673,0.0002810055,0.00006666768,0.00026740646,1.6541321e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052977408,0.00091001805,0.9686101,0.0000066833145,0.00004323334,0.00000294048,0.004833582,0.000001801107,0.0003767953,0.00024932815,0.000004343237,0.024908217],"study_design_scores_gemma":[0.00040339446,0.000103782564,0.99538976,0.000025790256,0.0000019500233,0.0000020689895,0.0024839924,0.000022176946,0.00010470867,0.0012196439,0.00021303873,0.000029715193],"about_ca_topic_score_codex":0.0017680275,"about_ca_topic_score_gemma":0.009718003,"teacher_disagreement_score":0.026779657,"about_ca_system_score_codex":0.00028946152,"about_ca_system_score_gemma":0.00055018027,"threshold_uncertainty_score":0.54228735},"labels":[],"label_agreement":null},{"id":"W3134771236","doi":"10.1371/journal.pone.0247431","title":"Impact of the mixed degree of urban functions on the taxi travel demand","year":2021,"lang":"en","type":"review","venue":"PLoS ONE","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Education Department of Shaanxi Province","keywords":"Taxis; Kernel density estimation; Geography; Ordinary least squares; Computer science; Transport engineering; Degree (music); Geographic information system; Econometrics; Statistics; Mathematics; Cartography; Engineering","score_opus":0.2153708477709769,"score_gpt":0.3431810604903899,"score_spread":0.12781021271941298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3134771236","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026186235,0.9638073,0.000005674803,0.000108502594,0.00011551403,0.0008973758,0.00027956892,0.0000122990195,0.008587553],"genre_scores_gemma":[0.083508566,0.9129036,0.000016228158,0.000010969253,0.00025854778,0.000054484084,0.000032754033,0.000021701453,0.0031931477],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9980797,0.0004676373,0.00046081864,0.0002246885,0.00056894025,0.00019817935],"domain_scores_gemma":[0.9983176,0.00047993555,0.0004347539,0.0005704274,0.00014077828,0.000056496265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000631369,0.00018039496,0.00096119783,0.00003975427,0.00027563042,0.000023526496,0.00061647414,0.00018617933,0.0007110736],"category_scores_gemma":[0.00032156802,0.00008596652,0.00091671344,0.0006426491,0.00039743065,0.00004721597,0.000029462524,0.00033443677,0.000008116095],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000895203,0.025812149,0.3034728,0.042370964,0.019598294,0.000013928091,0.018916007,0.0000026488742,0.00015503456,0.012985468,0.01990532,0.5566779],"study_design_scores_gemma":[0.0011011197,0.00082252466,0.51030195,0.110465996,0.031150742,0.0000010991089,0.003246436,0.0000064911665,0.00047538357,0.0013984255,0.33880752,0.0022223084],"about_ca_topic_score_codex":0.0008817212,"about_ca_topic_score_gemma":0.0013080514,"teacher_disagreement_score":0.5544556,"about_ca_system_score_codex":0.00008519321,"about_ca_system_score_gemma":0.0007911171,"threshold_uncertainty_score":0.7785757},"labels":[],"label_agreement":null},{"id":"W3134785986","doi":"10.1177/0361198121995196","title":"Toward A Framework for Assessing the Fair Distribution of Space in Urban Streets","year":2021,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Montréal; Polytechnique Montréal","funders":"","keywords":"Popularity; Context (archaeology); Transport engineering; Space (punctuation); Distribution (mathematics); Street network; Urban planning; Business; Government (linguistics); Competition (biology); Transit (satellite); Computer science; Public transport; Regional science; Geography; Civil engineering; Political science; Engineering","score_opus":0.1406667170442002,"score_gpt":0.45766990732624246,"score_spread":0.31700319028204227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3134785986","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97001404,0.00049179513,0.013750916,0.013849912,0.0004850328,0.0010734327,0.00014548171,0.000014768837,0.00017462674],"genre_scores_gemma":[0.99638164,0.0005528916,0.002338734,0.000027588661,0.00027475107,0.000067563524,0.000049102742,0.000026942198,0.00028080118],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99171084,0.0020714526,0.0014320199,0.00039919445,0.0034809425,0.0009055364],"domain_scores_gemma":[0.9905707,0.0033067877,0.0005587901,0.00045406516,0.004850232,0.00025938317],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009163914,0.00018649253,0.00047180275,0.00033598818,0.0009746199,0.00021727243,0.0011879769,0.00027502127,0.00019479389],"category_scores_gemma":[0.0013810813,0.0001325244,0.0005102763,0.0033405605,0.001296401,0.0008695092,0.0000067261662,0.0020269721,0.0000018358169],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005087124,0.00037662996,0.9366874,0.0002963692,0.00007378528,0.00005856457,0.015994458,0.0002393767,0.000603677,0.04085488,0.0014165416,0.0028895864],"study_design_scores_gemma":[0.00083816145,0.00012337767,0.93384135,0.00055374857,0.000044684366,6.804644e-8,0.019248907,0.000037889717,0.0017009716,0.03367361,0.009806685,0.00013053953],"about_ca_topic_score_codex":0.01574402,"about_ca_topic_score_gemma":0.14149132,"teacher_disagreement_score":0.12574731,"about_ca_system_score_codex":0.00034258893,"about_ca_system_score_gemma":0.0023657144,"threshold_uncertainty_score":0.9908102},"labels":[],"label_agreement":null},{"id":"W3134811688","doi":"10.1080/13549839.2021.1892046","title":"Growth over resilience: how Canadian municipalities frame the challenge of reducing carbon emissions","year":2021,"lang":"en","type":"article","venue":"Local Environment","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Climate change; Status quo; Greenhouse gas; Climate change mitigation; Urban resilience; Business; Social exclusion; Psychological resilience; Environmental planning; Sustainability; Urban planning; Natural resource economics; Environmental resource management; Economic growth; Political science; Economics; Geography; Engineering; Civil engineering","score_opus":0.017115745055934294,"score_gpt":0.247366838108419,"score_spread":0.2302510930524847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3134811688","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9433893,0.0013597271,0.00004803595,0.016338538,0.00013527513,0.00014564543,0.000017179364,0.000013060963,0.038553264],"genre_scores_gemma":[0.9954254,0.00041817813,0.000033118093,0.00011133875,0.00008021163,0.00000988334,0.0000045171014,0.000006278865,0.003911077],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9987862,0.0001417356,0.00014989912,0.0002328189,0.00038053485,0.00030880413],"domain_scores_gemma":[0.99933267,0.00007298241,0.0000482523,0.00033034265,0.000012823572,0.00020295022],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003353775,0.0000852395,0.00012999633,0.000020477493,0.00035012938,0.000022834698,0.0002520055,0.000099056866,0.0007095206],"category_scores_gemma":[0.00006017567,0.00006503748,0.00006694562,0.00010632245,0.00071979075,0.00007093797,0.00003466963,0.00017686107,0.0000021012486],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006721907,0.0011364039,0.4198308,0.0002826495,0.0002532626,0.00027437013,0.44282335,0.003968376,0.0035413234,0.09793503,0.0027434055,0.0271438],"study_design_scores_gemma":[0.001028931,0.00018807333,0.5367497,0.00037066944,0.0002422354,0.0000012206176,0.1957913,0.0020186487,0.01433313,0.024346858,0.22364129,0.0012879308],"about_ca_topic_score_codex":0.4713844,"about_ca_topic_score_gemma":0.2604063,"teacher_disagreement_score":0.24703206,"about_ca_system_score_codex":0.00021632564,"about_ca_system_score_gemma":0.00029656483,"threshold_uncertainty_score":0.77687526},"labels":[],"label_agreement":null},{"id":"W3134871914","doi":"10.4267/dechets-sciences-techniques.169","title":"Gestion des déchets dans les villes en développement : transfert, adaptation de schéma et sources de financement","year":2014,"lang":"en","type":"article","venue":"Environnement Ingénierie & Développement","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Business; Developing country; Population; Environmental planning; Welfare economics; Geography; Economic growth; Economics","score_opus":0.03862625079833294,"score_gpt":0.2905677217632136,"score_spread":0.2519414709648807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3134871914","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7370975,0.0002157662,0.24532235,0.010406168,0.00013544467,0.00060403405,0.000010370826,0.00015554657,0.0060528303],"genre_scores_gemma":[0.97331077,0.0021312633,0.02268749,0.00047160167,0.00021576889,0.00031887813,0.00008693696,0.000043175292,0.0007340983],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99598694,0.0007413109,0.0007085086,0.00066222093,0.0008908077,0.0010101943],"domain_scores_gemma":[0.99891025,0.0001722061,0.00020575254,0.000351977,0.00006121068,0.00029861747],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003421768,0.00040768724,0.00033008316,0.00014113505,0.001498423,0.00016939407,0.00051683007,0.00021851841,0.0009567954],"category_scores_gemma":[0.00014711618,0.00042069276,0.00015917368,0.000274635,0.00047114474,0.00033756573,0.00007373166,0.00029558956,0.000024860894],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000104667735,0.000739347,0.61368287,0.00011120538,0.000106551925,0.000009490959,0.1768536,0.0032161204,0.0056432094,0.0095356265,0.0002529431,0.18974435],"study_design_scores_gemma":[0.0013458265,0.0003078886,0.81188184,0.00025226892,0.00013182695,9.279075e-7,0.021945572,0.0012626945,0.0062400373,0.0047864183,0.1511031,0.0007416218],"about_ca_topic_score_codex":0.0035871207,"about_ca_topic_score_gemma":0.015662264,"teacher_disagreement_score":0.2362133,"about_ca_system_score_codex":0.001674326,"about_ca_system_score_gemma":0.00030932992,"threshold_uncertainty_score":0.9999565},"labels":[],"label_agreement":null},{"id":"W3135033528","doi":"10.1016/j.ssmph.2021.100769","title":"Not quite a block party: COVID-19 street reallocation programs in Seattle, WA and Vancouver, BC","year":2021,"lang":"en","type":"article","venue":"SSM - Population Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"Canadian Institutes of Health Research; University of Washington","keywords":"Psychological intervention; Redress; Public transport; Right to the city; Geography; Political science; Public space; Public administration; Economic growth; Politics; Medicine; Engineering; Law","score_opus":0.08871333820061378,"score_gpt":0.3844449849506225,"score_spread":0.29573164675000874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3135033528","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9933578,0.00025609636,0.00011117929,0.004873768,0.00036752457,0.0005731671,0.000014463285,0.00010407674,0.00034192827],"genre_scores_gemma":[0.99695325,0.00014751554,0.00039355134,0.0014270075,0.00012495794,0.000027667415,0.0002608466,0.000008206292,0.0006570053],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982136,0.00030431626,0.0004124044,0.0003705707,0.0003518566,0.0003472488],"domain_scores_gemma":[0.9991924,0.000061411025,0.00016213737,0.00018465515,0.00007311601,0.00032626814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010596148,0.000098164506,0.00020115632,0.00006439863,0.0004303343,0.000059636524,0.00007792522,0.000101211284,0.000065684886],"category_scores_gemma":[0.00015695137,0.0001032999,0.000034254983,0.00055125763,0.00008208408,0.0002964794,0.000014599532,0.00013097159,0.0000023684995],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015001138,0.00009878999,0.97870946,0.000113377,0.00000283846,0.0000032891755,0.007205001,0.000034870056,0.0000019853467,0.0017810889,0.00066512084,0.01136918],"study_design_scores_gemma":[0.0005227018,0.000039929335,0.97636265,0.000043286662,0.000007128164,1.9081304e-7,0.0050430465,0.00016093356,0.000004638563,0.0037766143,0.013890265,0.00014861378],"about_ca_topic_score_codex":0.09921486,"about_ca_topic_score_gemma":0.8118043,"teacher_disagreement_score":0.71258944,"about_ca_system_score_codex":0.00038393866,"about_ca_system_score_gemma":0.0010226269,"threshold_uncertainty_score":0.9067835},"labels":[],"label_agreement":null},{"id":"W3135174692","doi":"10.1371/journal.pone.0248285","title":"Open data and injuries in urban areas—A spatial analytical framework of Toronto using machine learning and spatial regressions","year":2021,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto; Toronto Metropolitan University","funders":"Canadian Institutes of Health Research","keywords":"Injury prevention; Metropolitan area; Poison control; Human factors and ergonomics; Occupational safety and health; Suicide prevention; Geography; Scale (ratio); Public health; Environmental health; Medicine; Cartography","score_opus":0.09278509176062444,"score_gpt":0.3610300194886277,"score_spread":0.26824492772800324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3135174692","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962511,0.0017335538,0.00032468216,0.0003771191,0.000024474142,0.00015100952,0.00006442909,0.000011876013,0.0010617775],"genre_scores_gemma":[0.9955643,0.0002356853,0.003878045,0.000019482111,0.00011555857,0.0000017024046,0.000052261406,0.0000068331924,0.00012613946],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988105,0.0001758066,0.00023503555,0.00033295457,0.00027603848,0.00016962488],"domain_scores_gemma":[0.99933946,0.00016802772,0.00008183883,0.0002480074,0.000059464,0.00010322857],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004844228,0.00007992907,0.00028963693,0.000016822953,0.00022814432,0.000115584386,0.00032188997,0.000099146535,0.00062192464],"category_scores_gemma":[0.0009217649,0.000076138436,0.0000128060055,0.00011316854,0.0002589057,0.00047453115,0.0005782467,0.00020076323,2.392367e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047385885,0.00033079146,0.994239,0.000036105845,0.000031847776,0.0000071246845,0.0027752323,1.7436943e-7,0.00032021824,0.0003135341,0.000003911485,0.0018947151],"study_design_scores_gemma":[0.0005975303,0.000064829146,0.9761085,0.0010027566,0.00024176684,2.411228e-7,0.0020398458,0.016022319,0.0011783417,0.0020004353,0.00046001704,0.00028345233],"about_ca_topic_score_codex":0.13451006,"about_ca_topic_score_gemma":0.3336022,"teacher_disagreement_score":0.19909212,"about_ca_system_score_codex":0.000035209618,"about_ca_system_score_gemma":0.00017336656,"threshold_uncertainty_score":0.8712533},"labels":[],"label_agreement":null},{"id":"W3135240211","doi":"10.1080/24694452.2020.1859981","title":"Suburbanization of Transport Poverty","year":2021,"lang":"en","type":"article","venue":"Annals of the American Association of Geographers","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Suburbanization; Poverty; Disadvantage; Socioeconomic status; Geography; Inequality; Demographic economics; Perspective (graphical); Development economics; Economic growth; Socioeconomics; Economic geography; Economics; Political science; Demography; Population; Sociology; Metropolitan area","score_opus":0.01922078434633011,"score_gpt":0.30403483358820416,"score_spread":0.28481404924187403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3135240211","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9898492,0.00011919621,0.00004388007,0.004224661,0.00010445017,0.000087124004,0.000051843166,0.000012485178,0.005507167],"genre_scores_gemma":[0.9985351,0.00026144483,0.00009915117,0.0004182964,0.000021082751,0.0000012286981,0.000010679179,0.0000052079117,0.0006477836],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99854547,0.00020936647,0.00037076496,0.0001237713,0.0005870727,0.00016354838],"domain_scores_gemma":[0.9976686,0.00011306189,0.0011932799,0.00019804001,0.00078878895,0.00003819181],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072333077,0.000063270556,0.00027950795,0.00004568024,0.00009064323,0.000004471716,0.00024645135,0.000045100325,0.00012732414],"category_scores_gemma":[0.00030396864,0.000055004213,0.00033014297,0.0015934908,0.0003789232,0.00012604162,0.000009926418,0.0000607889,3.9766894e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016617347,0.0001073288,0.99513376,0.000013532466,0.00009217681,1.3333133e-7,0.0013555044,0.000022370918,0.00065585,0.0004780477,0.0011351259,0.0009895365],"study_design_scores_gemma":[0.00010035461,0.000022420203,0.98637176,0.000017919892,0.000042750115,9.393918e-9,0.001661496,0.0000018113053,0.008606137,0.000801115,0.00231705,0.00005716446],"about_ca_topic_score_codex":0.005525721,"about_ca_topic_score_gemma":0.0026442697,"teacher_disagreement_score":0.008762004,"about_ca_system_score_codex":0.000019105517,"about_ca_system_score_gemma":0.00019171163,"threshold_uncertainty_score":0.8353274},"labels":[],"label_agreement":null},{"id":"W3135497061","doi":"10.7202/1083289ar","title":"L’impact de l’accessibilité et de la forme urbaine sur le choix modal des jeunes adultes : le cas de l’agglomération lyonnaise (1995-2006)","year":2021,"lang":"fr","type":"article","venue":"Canadian Journal of Regional Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.03228547760069181,"score_gpt":0.3193114411178607,"score_spread":0.2870259635171689,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3135497061","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9684189,0.011628521,0.0018494679,0.015319343,0.00041313778,0.00009886318,0.000056325738,0.0000104743585,0.0022049432],"genre_scores_gemma":[0.99432534,0.00050120754,0.0024903817,0.00065794325,0.0005370842,0.0000030395147,0.0000051803913,0.000017024406,0.0014627802],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99639153,0.00058928016,0.0005549077,0.0004093889,0.0007233516,0.0013315307],"domain_scores_gemma":[0.9955571,0.00034157178,0.000398838,0.00023732353,0.0011315666,0.0023335684],"candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0052981577,0.00024722845,0.00033714235,0.00027874237,0.0015937802,0.0006963844,0.0009924673,0.00022344441,0.00019023407],"category_scores_gemma":[0.0016414408,0.00023914463,0.00032515882,0.0018125982,0.0053512855,0.0034520742,0.000026127,0.0005267347,0.0000034833731],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028768212,0.00016983307,0.96567,0.00004353205,0.000027769616,0.00045252606,0.01400605,0.001510966,0.0016609497,0.010717505,0.0020430395,0.0036690475],"study_design_scores_gemma":[0.0005661645,0.00010338859,0.9538248,0.00038912895,0.000043015454,0.0004598145,0.0028003384,0.00087139796,0.001151076,0.02795686,0.011525499,0.0003084931],"about_ca_topic_score_codex":0.43698165,"about_ca_topic_score_gemma":0.71462655,"teacher_disagreement_score":0.27764493,"about_ca_system_score_codex":0.0026669162,"about_ca_system_score_gemma":0.0922943,"threshold_uncertainty_score":0.99970603},"labels":[],"label_agreement":null},{"id":"W3135692000","doi":"10.17269/s41997-020-00467-3","title":"COVID-19 street reallocation in mid-sized Canadian cities: socio-spatial equity patterns","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":67,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada; Canadian Institutes of Health Research; Michael Smith Health Research BC","keywords":"Psychological intervention; Geography; Destinations; Equity (law); Population; Socioeconomics; Tourism; Political science; Demography; Sociology; Psychology","score_opus":0.1141328421348497,"score_gpt":0.37980738359984356,"score_spread":0.26567454146499386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3135692000","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76872057,0.00063652685,0.0009705524,0.22513938,0.00094764255,0.00021566763,0.00029704373,0.000011801502,0.003060815],"genre_scores_gemma":[0.9891799,0.00013505606,0.000066125045,0.009866613,0.00044793973,0.000003224006,0.00007656661,0.000010822847,0.00021374461],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99657226,0.00085345394,0.0007352829,0.00022258768,0.00044505522,0.0011713429],"domain_scores_gemma":[0.9896915,0.00013145103,0.0003331053,0.00019628028,0.00044220497,0.009205467],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0057230103,0.0001211577,0.00034135254,0.0005274626,0.00083519187,0.0002625754,0.00049044297,0.00016966872,0.0024486259],"category_scores_gemma":[0.0026155917,0.00013440529,0.000105932326,0.0006535929,0.00023825595,0.000525905,0.00000924111,0.00042931744,0.0000032158196],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.0000019428326,0.00001927376,0.95890146,0.00005519383,0.000012616249,0.00021146963,0.021744058,0.000005318602,5.633559e-7,0.0016342486,0.0036469286,0.013766925],"study_design_scores_gemma":[0.0007480478,0.00004529151,0.79226416,0.000057228437,0.0000062886934,0.000004924673,0.035749625,0.0000074882673,0.000001574158,0.0020967002,0.16883306,0.00018560955],"about_ca_topic_score_codex":0.9957494,"about_ca_topic_score_gemma":0.9999734,"teacher_disagreement_score":0.32485402,"about_ca_system_score_codex":0.009465472,"about_ca_system_score_gemma":0.33431947,"threshold_uncertainty_score":0.9984633},"labels":[],"label_agreement":null},{"id":"W3136023183","doi":"10.1016/j.aap.2021.106011","title":"Young drivers vs. non-drivers: are there differences in behaviour?","year":2021,"lang":"en","type":"article","venue":"Accident Analysis & Prevention","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre for Addiction and Mental Health; Western University","funders":"","keywords":"Licensure; Poison control; Suicide prevention; Injury prevention; Binge drinking; Human factors and ergonomics; Occupational safety and health; Psychology; Environmental health; Adolescent health; Medicine; Medical education","score_opus":0.021073767454022542,"score_gpt":0.30436831337526077,"score_spread":0.2832945459212382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3136023183","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968834,0.00018569158,0.000654922,0.00032645065,0.00015619172,0.00015720495,8.037592e-7,0.000037763977,0.0015976081],"genre_scores_gemma":[0.9962297,0.00024535524,0.000087232795,0.000020877807,0.00007242308,0.00001609198,0.00008298194,0.000005921938,0.0032393988],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99807334,0.00028165514,0.0003706512,0.00045267283,0.0005294715,0.00029220953],"domain_scores_gemma":[0.99920493,0.000047986283,0.00024080048,0.00027511208,0.00014177451,0.00008941431],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005309445,0.00013665017,0.00036360396,0.00023327486,0.0002963099,0.00018162066,0.00033097918,0.00012947539,0.0026021888],"category_scores_gemma":[0.000053465177,0.00013768263,0.00047235715,0.0017495789,0.00009040717,0.0007070513,0.000045290366,0.00015654854,0.0000240754],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000062213157,0.00016290075,0.9963053,0.0000016588923,0.00019943279,0.000044348762,0.0024484908,0.000010971121,0.000025924566,0.00006182986,0.000046847403,0.0006860912],"study_design_scores_gemma":[0.00023148781,0.000009414827,0.98873955,0.000041690473,0.00089622504,6.470257e-8,0.008912712,0.000055388282,0.00011296275,0.00080860313,0.00003377785,0.00015812053],"about_ca_topic_score_codex":0.0069580697,"about_ca_topic_score_gemma":0.58835876,"teacher_disagreement_score":0.5814007,"about_ca_system_score_codex":0.00016314516,"about_ca_system_score_gemma":0.00010989949,"threshold_uncertainty_score":0.9996547},"labels":[],"label_agreement":null},{"id":"W3136088845","doi":"","title":"Pedal power: designing effective cycling infrastructure in Winnipeg with lessons from Minneapolis","year":2013,"lang":"en","type":"dissertation","venue":"Mspace (University of Manitoba)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cycling; Power (physics); Engineering; Architectural engineering; Geography; Archaeology; Physics","score_opus":0.010513112273934425,"score_gpt":0.24429757203563218,"score_spread":0.23378445976169776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3136088845","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9909174,0.00015473271,0.00022085618,0.00030919517,0.00024977088,0.00058926677,0.00006693672,0.000055451408,0.007436432],"genre_scores_gemma":[0.99740124,0.000043237138,0.00128007,0.000009384182,0.00008196066,0.0000013285721,0.00029394645,0.00002072943,0.0008680929],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984082,0.00018123457,0.00012610866,0.00048149645,0.00045252373,0.00035041547],"domain_scores_gemma":[0.9989643,0.0001722222,0.00034294542,0.00022194092,0.00018279746,0.000115802235],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00021145648,0.00024952745,0.00046672305,0.00022996076,0.00046854897,0.00005549887,0.00052639766,0.0004679851,0.00011272319],"category_scores_gemma":[0.000034029235,0.00028999033,0.00012118277,0.00041403933,0.00026026563,0.0005628218,0.000025675192,0.0005323631,0.000015602256],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003215502,0.00007806197,0.9550718,0.00010015958,0.00011337731,0.0000624291,0.040121693,0.000044026914,0.0007856249,0.00020216714,0.00070637127,0.0023927428],"study_design_scores_gemma":[0.00044624985,0.000042789063,0.8179903,0.00026283436,0.0001024708,5.8863858e-8,0.17961738,0.0000120672685,0.00020878093,0.0004156985,0.0006373302,0.00026402366],"about_ca_topic_score_codex":0.1558182,"about_ca_topic_score_gemma":0.94129175,"teacher_disagreement_score":0.7854735,"about_ca_system_score_codex":0.00026643687,"about_ca_system_score_gemma":0.0003073978,"threshold_uncertainty_score":0.99995524},"labels":[],"label_agreement":null},{"id":"W3136175746","doi":"","title":"SUBURBAN IMMIGRANT SETTLEMENTS IN TORONTO AND TRANSPORTATION IMPLICATIONS","year":2021,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Immigration; Human settlement; Geography; Transport engineering; Regional science; Engineering; Archaeology","score_opus":0.010977536547438398,"score_gpt":0.2508576212537679,"score_spread":0.23988008470632952,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3136175746","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99642664,0.0005728238,0.0000026566645,0.0006392169,0.00011852104,0.00026923357,0.0001273713,0.000023343951,0.0018202148],"genre_scores_gemma":[0.8936257,0.0006349033,0.00018247683,0.0000073513847,0.000020036061,9.968219e-7,0.0019172219,0.000008966081,0.1036024],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9990555,0.00005814695,0.0001467423,0.00032468312,0.00021140391,0.00020352038],"domain_scores_gemma":[0.9994669,0.000019447096,0.00014444687,0.0001605444,0.00012444421,0.000084250416],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017179259,0.000125302,0.00025762725,0.00007171822,0.00025280684,0.000020685815,0.00020217038,0.00021425709,0.0008654354],"category_scores_gemma":[0.0000050446197,0.00016172408,0.00008922828,0.00017143495,0.00010451026,0.0003985342,0.0000044112408,0.00011268678,0.0000016776183],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007479199,0.00013023338,0.3194505,0.00020244894,0.000046013694,0.000016194299,0.6741291,8.0344324e-7,0.0009387071,0.0011377748,0.00021615799,0.0036572632],"study_design_scores_gemma":[0.00023018484,0.000010182844,0.6233452,0.00006490059,0.000056245994,1.7190812e-8,0.37540656,0.0000010231682,0.000067601635,0.00015364234,0.00054986816,0.00011457427],"about_ca_topic_score_codex":0.8233709,"about_ca_topic_score_gemma":0.9964544,"teacher_disagreement_score":0.3038947,"about_ca_system_score_codex":0.00020779474,"about_ca_system_score_gemma":0.00016792415,"threshold_uncertainty_score":0.9475911},"labels":[],"label_agreement":null},{"id":"W3137091668","doi":"10.1016/j.trip.2021.100350","title":"COVID-19 and Travel: How Our Out-of-home Travel Activity, In-home Activity, and Long-Distance Travel Have Changed","year":2021,"lang":"en","type":"article","venue":"Transportation Research Interdisciplinary Perspectives","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"University of British Columbia","keywords":"Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Geography; Air travel; Medicine; Virology; Engineering; Outbreak; Internal medicine; Aviation; Infectious disease (medical specialty); Aerospace engineering","score_opus":0.10479694358178805,"score_gpt":0.438126449670894,"score_spread":0.33332950608910594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3137091668","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96860474,0.00090068637,0.0031890764,0.02504233,0.00015360332,0.00079201075,0.00031234467,0.000043132688,0.00096205383],"genre_scores_gemma":[0.99730134,0.000682649,0.000102201215,0.000022202677,0.0001360572,0.0000856946,0.000040130577,0.000034341367,0.0015953559],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9959755,0.00069658144,0.00036449716,0.0011053762,0.001090264,0.00076776504],"domain_scores_gemma":[0.9979915,0.0004048144,0.0001580909,0.00033508107,0.00046095188,0.00064956496],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0018602628,0.00031084637,0.00064058596,0.0005050002,0.00081984885,0.00018791894,0.00035617015,0.00025355862,0.00014132186],"category_scores_gemma":[0.00016636131,0.00032237655,0.00016406729,0.0008744121,0.0014810557,0.001104363,0.00007000044,0.00081403,0.0000019334364],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014513504,0.0014790042,0.35894606,0.0010010022,0.00013275923,0.00052442506,0.609502,0.0000059105537,0.019135335,0.0055597667,0.00013410917,0.0021282812],"study_design_scores_gemma":[0.00095589936,0.00014889434,0.7072371,0.00008622748,0.000020745907,8.465114e-7,0.28569594,0.000045664852,0.0014607733,0.0040717763,0.000020490072,0.00025561344],"about_ca_topic_score_codex":0.0017280461,"about_ca_topic_score_gemma":0.2199699,"teacher_disagreement_score":0.34829107,"about_ca_system_score_codex":0.00044615343,"about_ca_system_score_gemma":0.0009168593,"threshold_uncertainty_score":0.9999228},"labels":[],"label_agreement":null},{"id":"W3138058623","doi":"","title":"Qualitatively exploring the effect of change in the residential environment on travel behaviour","year":2019,"lang":"en","type":"article","venue":"Covenant University Repository (Covenant University)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Behaviour change; Built environment; Travel behavior; Qualitative research; Realisation; Marketing; Public relations; Business; Transport engineering; Psychology; Sociology; Engineering; Political science; Civil engineering; Social science","score_opus":0.052682252622984864,"score_gpt":0.25542292666328,"score_spread":0.2027406740402951,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3138058623","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98589176,0.000033038657,0.000031112246,0.00035232303,0.0003655708,0.0008598165,0.000024915984,0.00002284264,0.01241861],"genre_scores_gemma":[0.9955698,0.00009223647,0.0000056982444,0.000021588225,0.00006991922,0.000001086991,0.000005004301,0.000008445604,0.0042261872],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99698675,0.0014333479,0.00019079258,0.00042033254,0.00059067906,0.00037811435],"domain_scores_gemma":[0.9986196,0.0005735265,0.00022524213,0.0004630449,0.000034852048,0.00008368872],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001073156,0.00019408851,0.00030057013,0.00023891764,0.0007239121,0.00003357645,0.0010529661,0.00010810445,0.00004195829],"category_scores_gemma":[0.000020555108,0.00013770793,0.00024655563,0.0005733623,0.00045557923,0.00067492103,0.00009452736,0.0003264486,0.000020557465],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012807152,0.00029554262,0.93086696,0.000075644006,0.000070474445,0.0006855244,0.052413505,0.00006533654,0.0019593237,0.011543779,0.00006827805,0.0006749331],"study_design_scores_gemma":[0.0016929257,0.0006598924,0.9374976,0.00017128326,0.00017850312,0.000001427707,0.039204895,0.00001305249,0.003776539,0.00003125282,0.016449329,0.00032330124],"about_ca_topic_score_codex":0.009082661,"about_ca_topic_score_gemma":0.0009871346,"teacher_disagreement_score":0.01638105,"about_ca_system_score_codex":0.00042852527,"about_ca_system_score_gemma":0.000113090966,"threshold_uncertainty_score":0.9975159},"labels":[],"label_agreement":null},{"id":"W3138253885","doi":"10.1155/2021/6622461","title":"Commuting in the Storm: Adaptation of Transit Riders and Measures for Transit Operator—A Case in Shanghai","year":2021,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Ministry of Transport of the People's Republic of China","keywords":"Transport engineering; Transit (satellite); Rail transit; Public transport; Service (business); Engineering; Business","score_opus":0.03752288250600941,"score_gpt":0.31718094732468965,"score_spread":0.2796580648186803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3138253885","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9869179,0.0009482405,0.011003777,0.00073906145,0.00009115879,0.0002506477,0.000016957165,0.0000032295397,0.000029032044],"genre_scores_gemma":[0.99738985,0.00015371278,0.0023400595,0.000052536685,0.00003792107,0.000006165481,0.000011145151,0.000005947086,0.0000026430107],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9987275,0.00014242415,0.0006027652,0.000109286666,0.00028041468,0.00013759176],"domain_scores_gemma":[0.9992198,0.00021045517,0.00021319588,0.000060862832,0.00025693144,0.000038755406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012449763,0.00007761448,0.00022550358,0.000092424525,0.00012507144,0.00002005306,0.000091563874,0.00005995662,0.000007264551],"category_scores_gemma":[0.000062596984,0.000065439024,0.000090727975,0.00027897314,0.00008226106,0.0006411243,2.9290237e-7,0.0001686758,1.9208773e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00089819124,0.0004170154,0.27880508,0.00028336243,0.000045824447,0.00086848234,0.56954664,0.093753144,0.0059516565,0.0018985051,0.000004233702,0.04752788],"study_design_scores_gemma":[0.0035907254,0.00013903147,0.75173765,0.00022560547,0.00011085667,0.000020008682,0.24035923,0.00016538073,0.0015490847,0.0014913792,0.00045731824,0.00015369571],"about_ca_topic_score_codex":0.00087245106,"about_ca_topic_score_gemma":0.22349344,"teacher_disagreement_score":0.4729326,"about_ca_system_score_codex":0.000039021357,"about_ca_system_score_gemma":0.00018550306,"threshold_uncertainty_score":0.79067576},"labels":[],"label_agreement":null},{"id":"W3138603042","doi":"10.1080/01441647.2021.1898488","title":"The effects of road pricing on transportation and health equity: a scoping review","year":2021,"lang":"en","type":"review","venue":"Transport Reviews","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Simon Fraser University","funders":"Canadian Institutes of Health Research; Simon Fraser University; Social Sciences and Humanities Research Council of Canada; Wellcome Trust; Wellcome","keywords":"Equity (law); Business; Life expectancy; Public transport; Population; Destinations; TRIPS architecture; Poison control; Road pricing; Transport engineering; Public economics; Environmental health; Geography; Medicine; Economics; Traffic congestion; Tourism; Engineering; Political science","score_opus":0.14653214820589722,"score_gpt":0.48041161240339897,"score_spread":0.33387946419750175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3138603042","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000006542729,0.98965406,0.000047761314,0.00027395398,0.00036245518,0.008827216,0.000021932394,0.000045440655,0.0007606431],"genre_scores_gemma":[0.000014871328,0.9985574,0.00007051077,0.00034564186,0.00013390993,0.00044952653,0.00019805353,0.00004002143,0.00019005207],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9942975,0.0009826781,0.0027122388,0.00073035253,0.00069107156,0.0005861643],"domain_scores_gemma":[0.9968101,0.00046167363,0.0017132502,0.00067962124,0.00008911133,0.0002462654],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.006136496,0.00053662644,0.0046410062,0.000073250056,0.00067003316,0.00004168844,0.000577541,0.00022576742,0.000053289645],"category_scores_gemma":[0.00017767568,0.00034359423,0.0011891715,0.0009374753,0.00032074322,0.00016227632,0.000006510231,0.0005260709,0.000006822928],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[7.5377756e-7,0.000029325176,0.000068022644,0.37510213,0.000027350732,0.000005678324,0.0003744065,6.6345676e-9,2.0254518e-8,0.00029651937,0.00009344499,0.62400234],"study_design_scores_gemma":[0.000051545914,0.000034880894,0.00019079076,0.49143916,0.000641618,2.6522457e-7,0.000009504609,8.063428e-9,1.954695e-7,0.000010476103,0.50745004,0.00017149004],"about_ca_topic_score_codex":0.000937885,"about_ca_topic_score_gemma":0.0090959435,"teacher_disagreement_score":0.62383085,"about_ca_system_score_codex":0.00015655177,"about_ca_system_score_gemma":0.0018518404,"threshold_uncertainty_score":0.9999016},"labels":[],"label_agreement":null},{"id":"W3138720100","doi":"","title":"Public transportation accessibility: Comparing Auckland, Brisbane, Perth, and Vancouver","year":2017,"lang":"en","type":"article","venue":"Transport Research Forum","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Public transport; Transport engineering; Geography; Regional science; Engineering","score_opus":0.196327416244987,"score_gpt":0.41919280709330625,"score_spread":0.22286539084831924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3138720100","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9470267,0.00024383448,0.00026009,0.003621369,0.00033383546,0.00067585456,0.000041015694,0.00013631064,0.047660954],"genre_scores_gemma":[0.99590504,0.00020986314,0.00011204862,0.000049386665,0.00018848966,0.0000531668,0.000063839274,0.000026687954,0.0033914617],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9957919,0.00017503851,0.000486481,0.00077464257,0.0014360192,0.0013359007],"domain_scores_gemma":[0.99783,0.00012553953,0.00015301364,0.00086895586,0.00044087574,0.00058163796],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0035476612,0.00022151577,0.00040417176,0.0001993846,0.005140253,0.00060932664,0.0012519327,0.00023178426,0.0007357419],"category_scores_gemma":[0.0001511005,0.00020705936,0.00014889958,0.00028472117,0.0022088138,0.00256418,0.000026629648,0.0006853996,0.000019236719],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009777277,0.00012914854,0.98352504,0.000074706244,0.0000247257,0.000037965838,0.0028383904,5.584512e-7,0.00004149251,0.0033019478,0.0010118205,0.008916437],"study_design_scores_gemma":[0.00074658985,0.00004083913,0.94480646,0.00004040635,0.000019815427,1.45125e-7,0.0020917868,0.0000340128,0.00008549964,0.00580817,0.046078272,0.0002480319],"about_ca_topic_score_codex":0.024774117,"about_ca_topic_score_gemma":0.65291893,"teacher_disagreement_score":0.6281448,"about_ca_system_score_codex":0.00011663764,"about_ca_system_score_gemma":0.0005018419,"threshold_uncertainty_score":0.9961549},"labels":[],"label_agreement":null},{"id":"W3138878757","doi":"10.1155/2021/8854451","title":"GPS Trajectory-Based Spatio-Temporal Variations of Traffic Accessibility under Public Health Emergency Consideration","year":2021,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Beijing; Metropolitan area; Health care; Global Positioning System; Population; Public health; Matching (statistics); Transport engineering; Business; Geography; Medical emergency; Computer science; Environmental health; Medicine; Telecommunications; Nursing; Engineering; Economic growth","score_opus":0.04870084148278273,"score_gpt":0.3453353930956763,"score_spread":0.29663455161289354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3138878757","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94722605,0.00044215668,0.046619385,0.004578522,0.0007554677,0.00022395523,0.000049609716,0.000028911212,0.000075921045],"genre_scores_gemma":[0.9894657,0.00012892306,0.009884943,0.00010513054,0.00013516589,0.000004782204,0.00023380679,0.000012203531,0.000029313996],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969614,0.00034292226,0.0014862735,0.00023776748,0.00070822757,0.00026340698],"domain_scores_gemma":[0.99669194,0.00012039852,0.0013903774,0.0001764579,0.0014041965,0.00021662428],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001328592,0.0001390287,0.00039663675,0.0001605559,0.00034051435,0.000043356467,0.00016275153,0.000105402454,0.0007564962],"category_scores_gemma":[0.00017484362,0.00014099806,0.0002648337,0.0007744887,0.00012798767,0.0015262096,9.712323e-7,0.0002228773,6.769028e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037339682,0.0025984726,0.79177517,0.00046429224,0.00019387183,0.000032679272,0.0410405,0.12866719,0.0019094842,0.007749995,0.0002227731,0.024972169],"study_design_scores_gemma":[0.0011537052,0.00011889097,0.98947996,0.00005157405,0.000056819896,4.314775e-7,0.0046248133,0.00010902832,0.0005671551,0.0028648975,0.0008182915,0.0001544562],"about_ca_topic_score_codex":0.00014395073,"about_ca_topic_score_gemma":0.030524353,"teacher_disagreement_score":0.19770476,"about_ca_system_score_codex":0.00018343785,"about_ca_system_score_gemma":0.003332904,"threshold_uncertainty_score":0.98716605},"labels":[],"label_agreement":null},{"id":"W3138987588","doi":"10.1016/j.pmedr.2021.101345","title":"Associations between neighbourhood street pattern, neighbourhood socioeconomic status and sleep in adults","year":2021,"lang":"en","type":"article","venue":"Preventive Medicine Reports","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"Canadian Institutes of Health Research","keywords":"Neighbourhood (mathematics); Socioeconomic status; Geography; Demography; Environmental health; Psychology; Gerontology; Medicine; Sociology; Mathematics; Population","score_opus":0.015423500850799812,"score_gpt":0.2988710806646096,"score_spread":0.2834475798138098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3138987588","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9859972,0.001571969,0.00021117082,0.0020617507,0.00036430793,0.00035906906,0.000054638775,0.000049600996,0.0093302885],"genre_scores_gemma":[0.99856174,0.00022851668,0.000031538355,0.00009525038,0.0005306538,0.00001880902,0.0002513392,0.000015294709,0.00026683282],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99739134,0.00029696288,0.0008268093,0.00058715505,0.00038436602,0.0005133649],"domain_scores_gemma":[0.9985533,0.00026013248,0.00049219327,0.00025915005,0.00017161532,0.00026360582],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012382882,0.00018009843,0.00052548246,0.00009669279,0.00026011883,0.000037246882,0.00009686741,0.000141012,0.0013928538],"category_scores_gemma":[0.0005549904,0.00017668604,0.00009145561,0.0002518539,0.0002735067,0.00034501462,0.00005384905,0.00028100988,0.000003946689],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000025858053,0.000086580105,0.9655621,0.000021438134,0.00006493278,0.0001551645,0.0074601606,5.713353e-7,0.000004575901,0.00010714835,0.000061042585,0.026473697],"study_design_scores_gemma":[0.00063337217,0.00003319788,0.9896445,0.00014298577,0.00009462703,9.650545e-7,0.002965302,0.0000045757592,0.000043371438,0.005955049,0.00030598472,0.00017603963],"about_ca_topic_score_codex":0.018210044,"about_ca_topic_score_gemma":0.055400897,"teacher_disagreement_score":0.03719085,"about_ca_system_score_codex":0.00026710372,"about_ca_system_score_gemma":0.0003677093,"threshold_uncertainty_score":0.99952},"labels":[],"label_agreement":null},{"id":"W3141670493","doi":"10.1016/j.pmedr.2021.101366","title":"Estimating walking and bicycling in Canada and their road collision fatality risks: The need for a national household travel survey","year":2021,"lang":"en","type":"article","venue":"Preventive Medicine Reports","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Public Health Ontario; University of Toronto; University of British Columbia; Toronto Metropolitan University","funders":"Canadian Institutes of Health Research; Ryerson University","keywords":"Census; American Community Survey; Injury prevention; Occupational safety and health; Travel survey; Geography; Poison control; Suicide prevention; Human factors and ergonomics; Pedestrian; Survey data collection; Environmental health; Community health; Work (physics); Public health; Demography; Transport engineering; Medicine; Travel behavior; Engineering; Population; Statistics; Sociology","score_opus":0.08833883902296029,"score_gpt":0.35066225206418755,"score_spread":0.26232341304122725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3141670493","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961023,0.0008886023,0.0014479653,0.0005302131,0.0002833254,0.0003814215,0.000034142147,0.000007901883,0.00032414368],"genre_scores_gemma":[0.99949384,0.00001937622,0.00015620921,0.00006210604,0.000120090226,0.000022040958,0.000039461524,0.0000058141513,0.00008107935],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99846596,0.00028493654,0.0004278186,0.00029993203,0.00034038175,0.00018099602],"domain_scores_gemma":[0.99855155,0.0008564384,0.00023459813,0.00010141748,0.00018769377,0.000068300295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0049063014,0.00009485935,0.00023406249,0.000028146194,0.00040665417,0.000027899834,0.000055620596,0.000034260353,0.000011874984],"category_scores_gemma":[0.0026869106,0.00006286067,0.000023945637,0.0002560952,0.00019318511,0.000121355224,0.000027064378,0.000113826296,6.351417e-9],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007801501,0.000015609878,0.9902987,0.0000326613,0.000013836535,0.000024780738,0.0035354714,0.000018423068,0.00007507081,0.00001718579,0.00004350484,0.005916967],"study_design_scores_gemma":[0.00021861475,0.0000062783874,0.9908918,0.00014213184,0.00001263981,0.0000048673037,0.004417524,0.0007272569,0.0001478572,0.0033066825,0.00005287653,0.00007144192],"about_ca_topic_score_codex":0.9009688,"about_ca_topic_score_gemma":0.9820696,"teacher_disagreement_score":0.08110081,"about_ca_system_score_codex":0.00015729568,"about_ca_system_score_gemma":0.0010463499,"threshold_uncertainty_score":0.3216677},"labels":[],"label_agreement":null},{"id":"W3142567879","doi":"10.1016/j.aap.2021.106102","title":"Subjective experiences of bicyclists being passed by motor vehicles: The relationship to motor vehicle passing distance","year":2021,"lang":"en","type":"article","venue":"Accident Analysis & Prevention","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":37,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Transport Accident Commission","keywords":"Cycling; Truck; Feeling; Poison control; Psychology; Engineering; Transport engineering; Social psychology; Medical emergency; Automotive engineering; Medicine; Geography","score_opus":0.02112957470386712,"score_gpt":0.3234214562580434,"score_spread":0.3022918815541763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3142567879","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9903417,0.00038401538,0.007672958,0.0006697984,0.00010613326,0.00026422576,0.0000015307224,0.000035232886,0.0005243658],"genre_scores_gemma":[0.9974239,0.000019146315,0.00019592291,0.000044985867,0.00007883811,0.00008146362,0.00003808029,0.0000070814963,0.0021106105],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99776375,0.0005071413,0.0004915864,0.00039349744,0.0005989992,0.00024504136],"domain_scores_gemma":[0.99869436,0.00036224374,0.00028917965,0.00033233353,0.00022954126,0.0000923601],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000996565,0.000115888106,0.00025880313,0.00011676704,0.00073325366,0.0001833229,0.00033994517,0.000077892975,0.00025517138],"category_scores_gemma":[0.00050393684,0.000099230005,0.00037280828,0.0022534188,0.00014665647,0.00059224456,0.000038031834,0.0001146365,0.0000053834215],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019937235,0.000090009824,0.96755403,0.0000022581844,0.00014220689,0.0000012625821,0.0276955,0.000011511772,0.0029956745,0.00054286566,0.000038870912,0.0009058539],"study_design_scores_gemma":[0.00011069328,0.000016881982,0.9627071,0.000036713882,0.0003972596,2.5747289e-8,0.029541647,0.0000969827,0.0034095806,0.0034003134,0.00015889136,0.00012388178],"about_ca_topic_score_codex":0.0013556434,"about_ca_topic_score_gemma":0.024626521,"teacher_disagreement_score":0.023270877,"about_ca_system_score_codex":0.0001366016,"about_ca_system_score_gemma":0.00011685429,"threshold_uncertainty_score":0.9931715},"labels":[],"label_agreement":null},{"id":"W3144005709","doi":"","title":"Mode Substitution Effect of Urban Cycle Tracks: Case Study of a Downtown Street in Toronto, Canada","year":2016,"lang":"en","type":"article","venue":"Transportation Research Board 95th Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto; Toronto Metropolitan University","funders":"","keywords":"Downtown; Redevelopment; Transport engineering; Cycling; Mode choice; Mode (computer interface); Sample (material); Travel survey; Travel behavior; Geography; Engineering; Public transport; Computer science; Civil engineering","score_opus":0.0359978557238158,"score_gpt":0.40354614527989796,"score_spread":0.36754828955608215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3144005709","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9938141,0.00020653688,0.000063551655,0.00027029848,0.00016003857,0.0033439472,0.0007489346,0.00007373145,0.0013188514],"genre_scores_gemma":[0.9988989,0.00015386527,0.00009000181,0.0000060716948,0.00011446541,0.00039310724,0.00008408278,0.00004659243,0.00021288516],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9863919,0.0033178069,0.0019603577,0.0010938094,0.0055938275,0.001642283],"domain_scores_gemma":[0.99270374,0.002574855,0.00038353587,0.0006911282,0.002985868,0.0006609051],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.010107566,0.00039430513,0.00088285044,0.00074149424,0.00077560626,0.00004982549,0.00086148875,0.00032538312,0.00070429017],"category_scores_gemma":[0.00074922276,0.0003233185,0.00020103413,0.0023196223,0.001452199,0.0014656823,0.0000109365565,0.00081769685,0.000003295396],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016946439,0.0009667035,0.95103234,0.00041937086,0.00007878153,0.0011261527,0.038282093,0.00025998498,0.0011969818,0.0012355063,0.00023974376,0.0034676946],"study_design_scores_gemma":[0.0047671725,0.0017679725,0.8722791,0.00041637337,0.00006412925,3.363061e-7,0.11624618,0.000040866715,0.0033514851,0.00016722444,0.00047611445,0.00042304894],"about_ca_topic_score_codex":0.99372435,"about_ca_topic_score_gemma":0.9994879,"teacher_disagreement_score":0.07875325,"about_ca_system_score_codex":0.0012501181,"about_ca_system_score_gemma":0.0026716893,"threshold_uncertainty_score":0.99992186},"labels":[],"label_agreement":null},{"id":"W3144315902","doi":"10.1332/policypress/9781447352563.003.0005","title":"Walking in the city: seniors’ experience in Canada and France","year":2021,"lang":"en","type":"book-chapter","venue":"Policy Press eBooks","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"TRIPS architecture; Destinations; Socialization; Promotion (chess); Autonomy; Personal mobility; Travel behavior; Order (exchange); Geography; Transport engineering; Business; Psychology; Political science; Engineering; Social psychology","score_opus":0.053976362351356846,"score_gpt":0.3108241768771713,"score_spread":0.25684781452581446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3144315902","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19033618,0.0009492605,0.000001187668,0.00021651638,0.000117951065,0.0002955759,0.000022881506,0.000011461119,0.80804896],"genre_scores_gemma":[0.785535,0.00009200521,0.000008693539,0.0006033261,0.00026400952,0.000029980976,0.000002513004,0.000011655227,0.21345285],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99849087,0.00008001891,0.00028885368,0.00036129777,0.0004292826,0.0003496688],"domain_scores_gemma":[0.9993573,0.0001482716,0.00010205621,0.00028881273,0.000028201459,0.00007535432],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028174158,0.00018258468,0.00027373203,0.0000612982,0.00017239146,0.00008915852,0.00044157362,0.00014683485,0.000047227524],"category_scores_gemma":[0.000046131114,0.0001553037,0.00004058052,0.000026109496,0.00032331317,0.000069549045,0.000056070556,0.00041739407,2.2884518e-7],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018958457,0.000021565644,0.33269987,0.0001779027,0.000023914612,0.0005493544,0.28047794,0.0000019836343,0.000010707947,0.3408331,0.00021913851,0.044965576],"study_design_scores_gemma":[0.00036028607,0.0000067830942,0.13756123,0.00046477985,0.00001916012,0.0000016976122,0.0029645555,0.0000061486467,0.00006140071,0.017348431,0.8405072,0.0006983333],"about_ca_topic_score_codex":0.99482644,"about_ca_topic_score_gemma":0.99784946,"teacher_disagreement_score":0.84028804,"about_ca_system_score_codex":0.0002257053,"about_ca_system_score_gemma":0.001542169,"threshold_uncertainty_score":0.63331014},"labels":[],"label_agreement":null},{"id":"W3144714517","doi":"","title":"Who benefits from new transportation infrastructure? Using accessibility measures to evaluate social equity in public transport provision","year":2012,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Equity (law); Public transport; Business; Transport infrastructure; Social equality; Transport engineering; Public economics; Finance; Environmental economics; Economics; Engineering; Political science","score_opus":0.09937116244246726,"score_gpt":0.35246487830083995,"score_spread":0.2530937158583727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3144714517","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9910003,0.00018961818,0.000021742753,0.0001777211,0.00073435495,0.0012427266,0.0009769974,0.00024787805,0.005408639],"genre_scores_gemma":[0.99776196,0.000023881526,0.0012239274,0.00029311673,0.00033079652,0.000038576287,0.0001683704,0.00006994359,0.0000894215],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9931745,0.0007166469,0.0012824347,0.001177994,0.0020743504,0.0015740925],"domain_scores_gemma":[0.99737316,0.00014222674,0.00039838217,0.0005324817,0.0004195698,0.0011341674],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.004522793,0.0005700803,0.000776052,0.00033484097,0.0020054085,0.00018509844,0.0011173883,0.00066242536,0.00077886845],"category_scores_gemma":[0.0005075266,0.0005891506,0.00034394732,0.0017216679,0.00022015026,0.005424075,0.00007159076,0.00092272204,0.000030016026],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002954682,0.00041586455,0.6842405,0.000060008828,0.00006172912,0.000007044501,0.0015219372,0.00014777399,0.0077951425,0.013579541,0.000004067834,0.29187092],"study_design_scores_gemma":[0.0010284322,0.000032345994,0.9596415,0.00009389032,0.00012496595,1.9729308e-7,0.00041339442,0.000014334199,0.0036270972,0.029339258,0.0049829762,0.00070158334],"about_ca_topic_score_codex":0.028798014,"about_ca_topic_score_gemma":0.10970734,"teacher_disagreement_score":0.29116935,"about_ca_system_score_codex":0.0016364014,"about_ca_system_score_gemma":0.00046123334,"threshold_uncertainty_score":0.99965596},"labels":[],"label_agreement":null},{"id":"W3145397744","doi":"10.4000/rfst.348","title":"Accessibilité des structures de santé publique en transports en commun et inégalités de santé à São Paulo","year":2020,"lang":"fr","type":"article","venue":"Revue francophone sur la santé et les territoires","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministère des Transports","funders":"","keywords":"Political science; Humanities; Philosophy","score_opus":0.018770047739794477,"score_gpt":0.31049057049169604,"score_spread":0.2917205227519016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3145397744","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93928796,0.0363494,0.0022558195,0.011561676,0.0014152834,0.0009819969,0.00096951396,0.00052795943,0.006650419],"genre_scores_gemma":[0.9782404,0.009200191,0.004457411,0.003496342,0.0032822867,0.00010411354,0.00017119436,0.0001848181,0.0008632794],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9873989,0.00649521,0.0017150337,0.0014944255,0.0010549586,0.001841449],"domain_scores_gemma":[0.9939841,0.0030506034,0.000584117,0.0010319569,0.00035049274,0.0009987095],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0051057823,0.0010974979,0.0016125831,0.00020119021,0.0008929658,0.00057391886,0.0022768825,0.001582654,0.002725304],"category_scores_gemma":[0.0016563212,0.0011203851,0.00080840656,0.001739357,0.0017380473,0.0023319086,0.00022860906,0.0026151424,0.000022281421],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029072093,0.00060635316,0.57174724,0.0024936136,0.00025431567,0.0005636362,0.24454129,0.00018402278,0.0019714406,0.00074450846,0.0052261637,0.17137669],"study_design_scores_gemma":[0.0012416757,0.00019568665,0.87583226,0.0010929608,0.00019437949,0.00003130724,0.011273031,0.00029400818,0.0018598427,0.013592811,0.093149036,0.0012429812],"about_ca_topic_score_codex":0.05342263,"about_ca_topic_score_gemma":0.16069366,"teacher_disagreement_score":0.30408502,"about_ca_system_score_codex":0.0007873685,"about_ca_system_score_gemma":0.0028536518,"threshold_uncertainty_score":0.9997135},"labels":[],"label_agreement":null},{"id":"W3145758943","doi":"","title":"Estimating Latent Cycling and Walking Trips in Montreal","year":2017,"lang":"en","type":"article","venue":"Transportation Research Board 96th Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Cycling; TRIPS architecture; Latent class model; Geography; Environmental science; Transport engineering; Statistics; Mathematics; Engineering; Forestry","score_opus":0.08883879546757519,"score_gpt":0.4317298770907972,"score_spread":0.342891081623222,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3145758943","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9873173,0.00029392628,0.00027368148,0.002659489,0.0003066342,0.0017863672,0.00013492042,0.00017044607,0.007057229],"genre_scores_gemma":[0.9943716,0.00039533147,0.0030295032,0.000036394213,0.00043788613,0.0002855531,0.00011778975,0.0000641389,0.0012617963],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98924583,0.0014448222,0.0013881552,0.0013981207,0.0041925013,0.002330557],"domain_scores_gemma":[0.9944437,0.0013356898,0.00037486872,0.0008306184,0.0021125593,0.00090255623],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.016310006,0.00039317043,0.0006426109,0.0011550443,0.0058872863,0.0009986911,0.001328744,0.00045545655,0.00030072944],"category_scores_gemma":[0.0018861842,0.00041726587,0.0001896248,0.0011402842,0.0026440765,0.0024392884,0.0000282468,0.0022394639,0.000044523946],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048423448,0.00022261974,0.9373545,0.0002522856,0.000032767566,0.00027398256,0.04072213,0.00032003142,0.00027992786,0.0024647755,0.00026099518,0.017331732],"study_design_scores_gemma":[0.0016474,0.00013734898,0.97708136,0.0004386956,0.000022023169,8.0575404e-8,0.012944682,0.0006106687,0.00016220768,0.0051778606,0.001363382,0.00041431838],"about_ca_topic_score_codex":0.24452144,"about_ca_topic_score_gemma":0.58577037,"teacher_disagreement_score":0.34124893,"about_ca_system_score_codex":0.0002979936,"about_ca_system_score_gemma":0.0006724675,"threshold_uncertainty_score":0.9998279},"labels":[],"label_agreement":null},{"id":"W3146022535","doi":"10.4000/rfst.367","title":"Les enfants de moins de 15 ans face au risque d'accident de la route à Ouagadougou (Burkina Faso)","year":2020,"lang":"fr","type":"article","venue":"Revue francophone sur la santé et les territoires","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Francophone University Association","funders":"","keywords":"Political science; Humanities; Geography; Art","score_opus":0.017750877404368814,"score_gpt":0.30362278216718375,"score_spread":0.28587190476281493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3146022535","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.945441,0.025037494,0.004209781,0.010507618,0.0015620858,0.0005237309,0.00031765288,0.00030741404,0.012093189],"genre_scores_gemma":[0.9808528,0.00988921,0.0015536756,0.00081768224,0.002837358,0.000058684178,0.00004597181,0.00011174189,0.0038328706],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99316734,0.0027232333,0.00091657677,0.0010568594,0.00058905914,0.0015469199],"domain_scores_gemma":[0.99660873,0.0014928301,0.00040691515,0.00054464873,0.00010018148,0.0008466774],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0020523304,0.00068833894,0.0009676626,0.00010579016,0.0007983961,0.00057388796,0.0011961743,0.0010524378,0.0010116491],"category_scores_gemma":[0.0005747827,0.0007621988,0.0006153261,0.0009517921,0.0012596196,0.0013386651,0.0001634344,0.0014011301,0.000062383806],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010958146,0.00041582956,0.78315973,0.00073320285,0.00011747401,0.0005765612,0.11299636,0.0006429333,0.0012086531,0.0002585458,0.0031967813,0.096584365],"study_design_scores_gemma":[0.0011316962,0.00011033609,0.8176365,0.0013570258,0.00014864841,0.00002520292,0.012315912,0.0009907874,0.0021395406,0.0009802737,0.16228609,0.00087801396],"about_ca_topic_score_codex":0.20653993,"about_ca_topic_score_gemma":0.14189522,"teacher_disagreement_score":0.1590893,"about_ca_system_score_codex":0.0011131575,"about_ca_system_score_gemma":0.0020970698,"threshold_uncertainty_score":0.99990153},"labels":[],"label_agreement":null},{"id":"W3146543414","doi":"10.1080/23754931.2021.1901237","title":"Spatial Planning Framework for Development of Rural Activity Centers: Method of Location Allocation, Effect on Trip Length, and Policy Implications","year":2021,"lang":"en","type":"article","venue":"Papers in Applied Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Context (archaeology); Maximization; Population; Rural area; Business; Computer science; Transport engineering; Environmental economics; Operations research; Geography; Engineering; Economics; Microeconomics","score_opus":0.01812893860315345,"score_gpt":0.343054162076523,"score_spread":0.32492522347336955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3146543414","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89803207,0.00007162959,0.097990595,0.0003152102,0.000056418136,0.0006319097,0.0000129728505,0.000020755026,0.0028684386],"genre_scores_gemma":[0.9750988,0.000013343435,0.024631275,0.000039340524,0.000044467026,0.00013638294,0.000028690047,0.000005603813,0.0000020792331],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999154,0.0000812139,0.00024659676,0.0001910291,0.00015806359,0.00016915155],"domain_scores_gemma":[0.99908036,0.00051658554,0.00014755945,0.00014425152,0.00006394481,0.000047277357],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060460856,0.00009215,0.0002009173,0.0001585061,0.00017896028,0.000013543131,0.00010595573,0.000101255,0.0000070419132],"category_scores_gemma":[0.00012445118,0.00009296438,0.000060045568,0.0006854948,0.00013507137,0.000036199035,0.000012823401,0.00009090523,1.202992e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026853866,0.00021594817,0.5127631,0.00016814604,0.000057524252,5.840769e-8,0.009485042,0.00004142887,0.008937227,0.021327833,0.0000016797652,0.44673347],"study_design_scores_gemma":[0.00047830585,0.00003643259,0.96971196,0.00009046809,0.000023700948,3.3119633e-8,0.0013985854,0.000012937057,0.02180386,0.0059698285,0.00036253245,0.00011133896],"about_ca_topic_score_codex":0.00043640652,"about_ca_topic_score_gemma":0.00053182355,"teacher_disagreement_score":0.45694888,"about_ca_system_score_codex":0.00003824261,"about_ca_system_score_gemma":0.00017846053,"threshold_uncertainty_score":0.37909773},"labels":[],"label_agreement":null},{"id":"W3147678316","doi":"10.1177/03611981211003593","title":"Inferring the Purposes of using Ride-Hailing Services through Data Fusion of Trip Trajectories, Secondary Travel Surveys, and Land Use Data","year":2021,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"TRIPS architecture; Multinomial logistic regression; Transport engineering; Trip generation; Trip distribution; Estimation; Travel behavior; Context (archaeology); Discrete choice; Destinations; Travel survey; Computer science; Mode choice; Public transport; Geography; Econometrics; Economics; Engineering; Tourism","score_opus":0.32922966075415244,"score_gpt":0.45773646253308986,"score_spread":0.12850680177893742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3147678316","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9935871,0.0016591271,0.0012815879,0.0010481161,0.00034675072,0.0006625118,0.0013368462,0.000010525627,0.000067444635],"genre_scores_gemma":[0.99340075,0.004084692,0.0018847102,0.000016713817,0.00017386879,0.00000461081,0.00029343003,0.000030264624,0.00011096187],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9895682,0.0040168795,0.0017161027,0.0005923157,0.003441232,0.00066532526],"domain_scores_gemma":[0.9915628,0.00263624,0.00075484434,0.001351932,0.003469618,0.00022460174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017679552,0.00021305584,0.00060667016,0.0003040918,0.0010995716,0.00022757138,0.002678025,0.00019652449,0.00021578583],"category_scores_gemma":[0.00057932315,0.00014995848,0.00017386038,0.002205374,0.0015564157,0.0032331888,0.00005771249,0.0015563534,4.226842e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040437648,0.00021167684,0.97635293,0.00069435267,0.00016913931,0.00004644759,0.0119122835,0.00014029094,0.004594337,0.0004091535,0.000111799665,0.0049531953],"study_design_scores_gemma":[0.0009834045,0.000087906774,0.9772589,0.0005706305,0.00013050578,3.757729e-7,0.013999061,0.00025754355,0.00243772,0.0012533767,0.0028736698,0.00014685914],"about_ca_topic_score_codex":0.20124088,"about_ca_topic_score_gemma":0.60367817,"teacher_disagreement_score":0.40243727,"about_ca_system_score_codex":0.00008025735,"about_ca_system_score_gemma":0.0024306006,"threshold_uncertainty_score":0.84571266},"labels":[],"label_agreement":null},{"id":"W3148541183","doi":"10.1177/23998083211003886","title":"Creation of a rough runnability index using an affordance-based framework","year":2021,"lang":"en","type":"article","venue":"Environment and Planning B Urban Analytics and City Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Affordance; Walkability; Downtown; Computer science; Built environment; Geography; Engineering; Civil engineering; Human–computer interaction","score_opus":0.04297986296293132,"score_gpt":0.31134212115941184,"score_spread":0.2683622581964805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3148541183","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9782101,0.00031303684,0.020661412,0.00011543467,0.000048493217,0.0000707124,0.0000076281594,0.000010360561,0.00056284544],"genre_scores_gemma":[0.9968189,0.000032327498,0.0029526404,0.000056422163,0.000054324577,7.8190226e-7,0.000004792211,0.000002818466,0.0000770038],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99871385,0.00006243765,0.00018769168,0.0003769256,0.0004325689,0.0002265548],"domain_scores_gemma":[0.9994057,0.000085241336,0.000103230566,0.00019955485,0.000040357954,0.00016592167],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011472693,0.00009090972,0.00015563938,0.00005379198,0.0006357634,0.0001252902,0.00014092098,0.00007255945,0.0000885451],"category_scores_gemma":[0.0001475786,0.000089577756,0.000030128103,0.000349064,0.0015541816,0.00039142632,0.00003278517,0.00011393427,1.7754081e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008861645,0.00007583445,0.9946939,0.000011190894,0.0000032025935,0.0000025092147,0.0027950522,0.0008746353,0.0002970895,0.0007289446,0.0000020465259,0.000506772],"study_design_scores_gemma":[0.00011948447,0.000029387482,0.9662928,0.000045165958,0.000028984487,1.8161357e-7,0.0013958764,0.02749544,0.00067125907,0.0033244712,0.0004548548,0.000142068],"about_ca_topic_score_codex":0.0004914959,"about_ca_topic_score_gemma":0.000075814656,"teacher_disagreement_score":0.028401036,"about_ca_system_score_codex":0.000058781872,"about_ca_system_score_gemma":0.00020100673,"threshold_uncertainty_score":0.5726447},"labels":[],"label_agreement":null},{"id":"W3149688434","doi":"10.1038/s41598-021-86778-y","title":"A longitudinal residential relocation study of changes in street layout and physical activity","year":2021,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Alberta Health Services; University of Calgary","funders":"Alberta Cancer Foundation; Canadian Institutes of Health Research; Japan Society for the Promotion of Science; Health Canada; Partenariat Canadien Contre Le Cancer; Alberta Health Services","keywords":"Relocation; Neighbourhood (mathematics); Space syntax; Physical activity; Longitudinal study; Urban design; Baseline (sea); Geography; Transport engineering; Demography; Space (punctuation); Medicine; Urban planning; Computer science; Physical medicine and rehabilitation; Sociology; Mathematics; Civil engineering; Engineering","score_opus":0.0410902018521476,"score_gpt":0.3380134427982975,"score_spread":0.29692324094614986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3149688434","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981817,0.00003614133,0.0000051701727,0.00015308922,0.00076517055,0.00023029608,0.0000011512104,0.000016055425,0.0006112341],"genre_scores_gemma":[0.9992946,0.0000016530694,0.000012490847,0.0000011706105,0.00006195653,0.000008809458,0.0000051120965,0.000002967895,0.00061125436],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99845654,0.00013749528,0.00017627935,0.00052831497,0.00053497334,0.00016639309],"domain_scores_gemma":[0.99926895,0.000033190692,0.00015968854,0.00032687982,0.00015348758,0.000057785903],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012665327,0.00006253208,0.00016383057,0.000078623394,0.0002571704,0.0001170372,0.00006829291,0.000036110083,0.000034276098],"category_scores_gemma":[0.00016480766,0.00006114418,0.000027167824,0.00065683585,0.00031682217,0.0002624073,0.000041429877,0.00007794028,4.3367368e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008524572,0.0007702084,0.9828048,0.000015002352,0.0000053258836,0.00018712634,0.012539429,0.0000037765235,0.0021585384,0.000035641933,0.00005723238,0.0014144268],"study_design_scores_gemma":[0.00012287238,0.00002537448,0.98570824,0.000017967484,0.000017515194,9.658382e-7,0.006572746,0.000014220847,0.005853394,0.0014555322,0.00014237335,0.000068785565],"about_ca_topic_score_codex":0.005638672,"about_ca_topic_score_gemma":0.27159005,"teacher_disagreement_score":0.26595137,"about_ca_system_score_codex":0.000033186647,"about_ca_system_score_gemma":0.0002390642,"threshold_uncertainty_score":0.85240227},"labels":[],"label_agreement":null},{"id":"W3150941558","doi":"","title":"Breaking into Bicycle Theft: Insights from Montreal, Canada","year":2013,"lang":"en","type":"article","venue":"Transportation Research Board 92nd Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Downtown; Thematic analysis; Government (linguistics); Business; Advertising; Geography; Qualitative research; Sociology","score_opus":0.03977040903951064,"score_gpt":0.3624615692530479,"score_spread":0.3226911602135373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3150941558","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9785251,0.0006079448,0.00015590103,0.007335862,0.00036917313,0.002457186,0.00041350952,0.0003289777,0.009806351],"genre_scores_gemma":[0.9943312,0.000289597,0.0008985618,0.00021301671,0.000635714,0.0007022922,0.00080513273,0.000108525135,0.0020159674],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9847323,0.0021255151,0.0015468188,0.0016544706,0.0075153406,0.0024255833],"domain_scores_gemma":[0.9896581,0.002289387,0.00028232078,0.00087014824,0.0054531926,0.0014468562],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003462995,0.00054004707,0.0007120545,0.00090889056,0.0038442716,0.0006524151,0.0016548067,0.0004987288,0.0030008748],"category_scores_gemma":[0.0005421001,0.0005336861,0.00027298255,0.0032777507,0.0020236275,0.0024725979,0.000022642575,0.002186176,0.00027004653],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006429267,0.000786839,0.77057815,0.00036580546,0.00028695152,0.0004248003,0.16293232,0.00040450544,0.0054425257,0.005213731,0.03706103,0.015860409],"study_design_scores_gemma":[0.000913601,0.00011385147,0.89775574,0.0001905915,0.00003219189,2.6499004e-8,0.04923789,0.00009370542,0.0009033051,0.013493207,0.036687993,0.0005778842],"about_ca_topic_score_codex":0.9971651,"about_ca_topic_score_gemma":0.9979768,"teacher_disagreement_score":0.1271776,"about_ca_system_score_codex":0.0008487492,"about_ca_system_score_gemma":0.0038637626,"threshold_uncertainty_score":0.99971145},"labels":[],"label_agreement":null},{"id":"W3151217572","doi":"","title":"The New Jersey Childhood Obesity Study: Physical Activity Environment Maps, New Brunswick","year":2010,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Physical activity; Childhood obesity; Obesity; Geography; Gerontology; Environmental health; Overweight; Medicine","score_opus":0.012361132650571711,"score_gpt":0.27044822107966315,"score_spread":0.25808708842909145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3151217572","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9824279,0.000014065878,0.00015922321,0.0039644795,0.00032946508,0.000549836,0.000001264628,0.00009524792,0.012458515],"genre_scores_gemma":[0.98110586,0.000010818141,0.00008931697,0.000056252324,0.0009668712,0.0000019560052,0.0000011431858,0.00000795579,0.017759817],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985396,0.00009843617,0.00011449442,0.0003544822,0.0005194103,0.0003735541],"domain_scores_gemma":[0.9990158,0.00012308691,0.00006421384,0.00044865123,0.000010681453,0.0003375551],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048101775,0.00014045162,0.0001624016,0.000011512055,0.0010145498,0.00014618489,0.00053265656,0.00007617905,0.0006916431],"category_scores_gemma":[0.00004125867,0.00009239502,0.00011830225,0.00012225962,0.00026795047,0.0003052658,0.000059322985,0.0004020652,0.00018632051],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002064434,0.0030049216,0.9243849,0.0000012791442,0.00003863395,0.0000027021722,0.014151586,7.491816e-7,0.00025846175,0.006208136,0.005170573,0.046757422],"study_design_scores_gemma":[0.00029885658,0.00003785218,0.94760174,7.637242e-7,0.000025729312,4.385165e-8,0.0011496592,0.0000035579603,0.00028055077,0.0037579292,0.04671118,0.00013214392],"about_ca_topic_score_codex":0.06770515,"about_ca_topic_score_gemma":0.21647802,"teacher_disagreement_score":0.14877287,"about_ca_system_score_codex":0.000042857617,"about_ca_system_score_gemma":0.0007535939,"threshold_uncertainty_score":0.9385031},"labels":[],"label_agreement":null},{"id":"W3151417396","doi":"","title":"Using OpenStreetMap to Inventory Bicycle Infrastructure: A Comparison with Open Data from Cities","year":2018,"lang":"en","type":"article","venue":"Transportation Research Board 97th Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Simon Fraser University; University of Victoria","funders":"","keywords":"Computer science; Open data; Business; Transport engineering; World Wide Web; Engineering","score_opus":0.2664501784816225,"score_gpt":0.494557323499081,"score_spread":0.2281071450174585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3151417396","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98154485,0.00016757543,0.0026198388,0.002246725,0.00031804066,0.0038764644,0.002260614,0.00024714868,0.006718726],"genre_scores_gemma":[0.9820043,0.0000546942,0.013682668,0.00023696537,0.0009186974,0.00024192552,0.001798401,0.00011517034,0.0009471822],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9852722,0.0021452128,0.0014847666,0.0022755184,0.0063818996,0.0024403918],"domain_scores_gemma":[0.98970854,0.00093524955,0.00032155996,0.0018545613,0.005590027,0.0015900704],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.009945079,0.0005207985,0.0008498678,0.0011889414,0.0039495607,0.001284595,0.005778829,0.00042615796,0.0026237415],"category_scores_gemma":[0.0006412537,0.0005036081,0.00011759867,0.0047055166,0.0041080955,0.0037206388,0.00018714239,0.0017643784,0.00021056927],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026727542,0.0003379075,0.92060965,0.00010647015,0.00015361208,0.00008637989,0.055272155,0.00029280683,0.00077474787,0.0015714454,0.015522399,0.0025996924],"study_design_scores_gemma":[0.0017506059,0.0007147684,0.83996737,0.00045801507,0.00008134623,6.932013e-8,0.068900794,0.00047783065,0.00091165863,0.0028308963,0.083154626,0.0007520022],"about_ca_topic_score_codex":0.40991077,"about_ca_topic_score_gemma":0.6774215,"teacher_disagreement_score":0.26751077,"about_ca_system_score_codex":0.0004547154,"about_ca_system_score_gemma":0.0032329431,"threshold_uncertainty_score":0.99975216},"labels":[],"label_agreement":null},{"id":"W3151426590","doi":"10.1257/aer.20181662","title":"Mobility and Congestion in Urban India","year":2023,"lang":"en","type":"article","venue":"American Economic Review","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":59,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"TRIPS architecture; Reliability (semiconductor); Service (business); Traffic congestion; Econometrics; Computer science; Economics; Transport engineering; Economy; Engineering; Physics","score_opus":0.024063113599611403,"score_gpt":0.32652696948928545,"score_spread":0.30246385588967406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3151426590","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98363125,0.006890845,4.871949e-7,0.0015970733,0.00007587314,0.00034284746,0.000005972198,0.00005710139,0.0073985327],"genre_scores_gemma":[0.95007354,0.049262617,0.000011666764,0.0004096574,0.000043965752,0.000033957876,0.000008199981,0.0000040984182,0.000152321],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99918,0.000120913144,0.0002455326,0.00023103267,0.000043334476,0.00017915107],"domain_scores_gemma":[0.99958295,0.00008933019,0.00010396918,0.00014484675,0.0000071297554,0.0000717934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010866773,0.00006308315,0.00027058984,0.000038697897,0.00006389652,0.000017683915,0.00011452032,0.00001877603,0.00016013831],"category_scores_gemma":[0.000069726055,0.00006250959,0.000038000017,0.00027528667,0.00046318944,0.00016017426,0.000014911775,0.00006554712,0.00014845368],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000012482917,0.00000772073,0.9059861,0.000095873984,0.0000025063657,0.000001121166,0.00043000246,4.444674e-7,4.5829725e-7,0.0003011102,0.00084447267,0.09232899],"study_design_scores_gemma":[0.00004840436,0.000009264155,0.95170754,0.0001218156,0.0000071582126,6.172082e-8,0.00022989024,0.0000057503366,6.2129504e-7,0.00031911742,0.047474664,0.000075685086],"about_ca_topic_score_codex":0.005290099,"about_ca_topic_score_gemma":0.007843708,"teacher_disagreement_score":0.092253305,"about_ca_system_score_codex":0.00009503371,"about_ca_system_score_gemma":0.000093404306,"threshold_uncertainty_score":0.79970825},"labels":[],"label_agreement":null},{"id":"W3151889729","doi":"","title":"Rural-to-urban commuting as a mean for rural-urban interdependence?","year":2014,"lang":"en","type":"article","venue":"ERSA conference papers","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geography; Urban sprawl; Closeness; Economic geography; Rural area; Urban density; Population; Urbanization; Socioeconomics; Demographic economics; Economic growth; Urban planning; Demography; Economics; Political science; Sociology","score_opus":0.022519328988924642,"score_gpt":0.3002947755707429,"score_spread":0.2777754465818183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3151889729","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78867835,0.000038266553,0.0011534464,0.004067284,0.0006430732,0.0007902117,0.000016851594,0.00024401145,0.20436852],"genre_scores_gemma":[0.9928075,0.0000102612,0.00041453264,0.0010626325,0.00033020624,0.00006854633,0.000024657911,0.000021356096,0.005260295],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99783957,0.00018959426,0.00037660383,0.0003899288,0.00046672105,0.0007375576],"domain_scores_gemma":[0.99849164,0.00032450262,0.00014483655,0.00042170953,0.00021121824,0.00040606863],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001163134,0.00024833198,0.00034523406,0.00008753127,0.00085642934,0.00028131733,0.0009443638,0.00015948126,0.0013354238],"category_scores_gemma":[0.0004988235,0.00023325456,0.00019260596,0.00027804993,0.00038325717,0.00034955415,0.00006725785,0.0002453606,0.00016197663],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026954064,0.0001784846,0.60690165,0.00010750103,0.00010702384,0.0000046178443,0.21098362,0.0000069113457,0.009601387,0.10275806,0.0088517135,0.060229514],"study_design_scores_gemma":[0.0032465148,0.00094862503,0.11747403,0.0009856002,0.00025203393,0.0000021213232,0.2327418,0.0006849213,0.002891746,0.021324081,0.61662394,0.0028245968],"about_ca_topic_score_codex":0.0041263495,"about_ca_topic_score_gemma":0.010916848,"teacher_disagreement_score":0.60777223,"about_ca_system_score_codex":0.0001199979,"about_ca_system_score_gemma":0.0002608119,"threshold_uncertainty_score":0.99957746},"labels":[],"label_agreement":null},{"id":"W3152126506","doi":"10.1016/j.jth.2021.101035","title":"Review of gender, socioeconomic status, and ethnic background considerations reported in active school travel intervention studies","year":2021,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Children’s Health Research Institute; Lawson Health Research Institute; University of Waterloo; Western University","funders":"National Institutes of Health; Children's Health Research Institute","keywords":"Socioeconomic status; Psychological intervention; Ethnic group; Scopus; Equity (law); Inclusion (mineral); Intervention (counseling); Medicine; Psychology; MEDLINE; Environmental health; Political science; Social psychology; Population","score_opus":0.17868610577723934,"score_gpt":0.4524718251445695,"score_spread":0.2737857193673302,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3152126506","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78317904,0.21262443,0.000079086254,0.0034109347,0.0002087984,0.00022572628,0.000022697626,0.0000043325376,0.00024496],"genre_scores_gemma":[0.77636015,0.22251402,0.0003821011,0.000642323,0.00005171911,0.0000024996352,0.000010038418,0.000004661749,0.000032459822],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99738836,0.00031977057,0.0016407622,0.00018009495,0.00023377029,0.00023726001],"domain_scores_gemma":[0.99798495,0.0001361144,0.0011033607,0.00011406265,0.00045418454,0.00020733183],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028493477,0.00010172221,0.0006877237,0.000094452276,0.00014811603,0.000010051704,0.00006195313,0.00006512004,0.00041145616],"category_scores_gemma":[0.00016289171,0.00009663958,0.00020988518,0.00018143309,0.00020942073,0.0004845933,0.000004087661,0.00035104615,5.3606135e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015220915,0.0009631257,0.9248712,0.013949538,0.0006974619,0.00018882095,0.044446923,0.0000073280953,0.00014257118,0.0019571614,0.0012848583,0.011338776],"study_design_scores_gemma":[0.0007429445,0.00007855638,0.9700589,0.0031468028,0.00010188949,0.000010156874,0.021352164,4.4532675e-7,0.00005028538,0.0037761861,0.0005941161,0.000087535],"about_ca_topic_score_codex":0.0012738698,"about_ca_topic_score_gemma":0.026196398,"teacher_disagreement_score":0.045187693,"about_ca_system_score_codex":0.0003479642,"about_ca_system_score_gemma":0.0026038976,"threshold_uncertainty_score":0.991573},"labels":[],"label_agreement":null},{"id":"W3152149719","doi":"10.3390/su13073835","title":"Densify and Expand: A Global Analysis of Recent Urban Growth","year":2021,"lang":"en","type":"article","venue":"Sustainability","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":81,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sample (material); Population; Quarter (Canadian coin); Geography; Physical geography; Global warming; Environmental science; Economic geography; Climate change; Demography; Archaeology; Geology","score_opus":0.014551180935778884,"score_gpt":0.3265525810857091,"score_spread":0.3120014001499302,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3152149719","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99237394,0.0005752442,0.00013417192,0.0022207,0.00006030272,0.00016488938,0.00002778828,0.000035211753,0.004407737],"genre_scores_gemma":[0.99956214,0.000071829425,0.00009347581,0.000056542314,0.000032757096,0.000005400184,0.000014504735,0.0000023902203,0.00016093136],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99839354,0.00035062432,0.00028084606,0.0003816193,0.00030557482,0.0002878253],"domain_scores_gemma":[0.99765515,0.00010952508,0.00007899989,0.00030757676,0.0017020989,0.00014662267],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009808292,0.000090895766,0.0003170772,0.00003618415,0.00024231595,0.00004045815,0.00013168284,0.000095168034,0.00042837427],"category_scores_gemma":[0.0016061383,0.00008860838,0.00015155123,0.0020626509,0.0005922469,0.00015724721,0.00004952357,0.000089791836,2.979511e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021388449,0.0001646084,0.98022723,0.000056608253,0.00013525476,0.000011521806,0.0032862795,0.0000012775804,0.000003435566,0.013154742,0.000055148743,0.002882522],"study_design_scores_gemma":[0.00012397103,0.000010952132,0.94912446,0.0000016939401,0.00039789188,6.5927274e-8,0.0076779844,0.000008992421,0.00007552193,0.040856082,0.0016329824,0.00008939822],"about_ca_topic_score_codex":0.006384744,"about_ca_topic_score_gemma":0.018895986,"teacher_disagreement_score":0.03110275,"about_ca_system_score_codex":0.00043245172,"about_ca_system_score_gemma":0.0011567473,"threshold_uncertainty_score":0.9990066},"labels":[],"label_agreement":null},{"id":"W3153163756","doi":"10.1177/03611981211014528","title":"Market-Segmentation Study of Future and Potential Users of the New <i>Réseau Express Métropolitain</i> Light Rail in Montreal, Canada","year":2021,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Montréal; Public Health Agency of Canada; Government of Canada; McGill University","funders":"","keywords":"Market segmentation; Public transport; Destinations; TRIPS architecture; Business; Marketing; Perception; Transport engineering; Advertising; Work (physics); Public opinion; Travel behavior; Exploratory factor analysis; Tourism; Psychology; Engineering; Geography; Political science","score_opus":0.03247023361201576,"score_gpt":0.349581943245098,"score_spread":0.3171117096330822,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3153163756","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9902053,0.00043824266,0.000054373624,0.007368554,0.0005418721,0.0011014809,0.000059907823,0.000004969854,0.00022531564],"genre_scores_gemma":[0.9976125,0.0007818394,0.00017275044,0.000026161337,0.00019450023,0.000020035495,0.000006866294,0.00002063871,0.001164703],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9907091,0.0025314437,0.0014499592,0.00036794573,0.004316015,0.00062552065],"domain_scores_gemma":[0.995638,0.00050836534,0.0005800263,0.00043401303,0.0025118042,0.00032776373],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033629485,0.00018579299,0.0004789813,0.0003499451,0.0005905506,0.00007423951,0.000962807,0.0001466939,0.00035287748],"category_scores_gemma":[0.0001676092,0.00013320494,0.00022805172,0.0022809785,0.0005859542,0.0005757503,0.000011054107,0.001227626,2.3610549e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010690558,0.00054053013,0.96510553,0.00018879912,0.00011115966,0.000096456344,0.020356353,0.00032017712,0.0034007675,0.0002315133,0.006062383,0.0025172788],"study_design_scores_gemma":[0.0019999032,0.00017519145,0.9190726,0.00017759575,0.00006150077,9.448018e-8,0.0732483,0.000010495942,0.0021154142,0.00083449023,0.0021968146,0.00010760032],"about_ca_topic_score_codex":0.87492234,"about_ca_topic_score_gemma":0.9954016,"teacher_disagreement_score":0.12047928,"about_ca_system_score_codex":0.00032820858,"about_ca_system_score_gemma":0.0041103195,"threshold_uncertainty_score":0.729153},"labels":[],"label_agreement":null},{"id":"W3153214545","doi":"","title":"TOD as a Local Public Policy Instrument for Coordinating Land Use and Transportation: The Case of Sainte-Therese in the Montreal Metropolitan Area","year":2015,"lang":"en","type":"article","venue":"Flux","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Context (archaeology); Plan (archaeology); Land use; Public transport; Transit-oriented development; Regional science; Business; Urban planning; Sustainable development; Mode (computer interface); Land-use planning; Environmental planning; Transport engineering; Geography; Political science; Civil engineering; Computer science; Engineering; Archaeology","score_opus":0.0709178281409238,"score_gpt":0.33312120707466397,"score_spread":0.2622033789337402,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3153214545","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99161273,0.00008779974,0.00023851957,0.0044100415,0.000029988134,0.00037527716,0.00005766779,0.000010167712,0.0031777774],"genre_scores_gemma":[0.99948996,0.0000024866415,0.00006208814,0.00013036939,0.00007673451,0.00003049908,0.0000139255135,0.000004356514,0.00018955681],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991804,0.00012977455,0.00019348045,0.00012717253,0.0001671579,0.00020206743],"domain_scores_gemma":[0.9993291,0.00028291863,0.00006356658,0.00013309698,0.000108999164,0.0000823532],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000969106,0.00006933715,0.00011488974,0.000048557526,0.00019343205,0.000086234046,0.00016951484,0.00004538543,0.00002426572],"category_scores_gemma":[0.00034280735,0.000040002422,0.000042450378,0.00029558144,0.00033643495,0.00026936206,0.0000048933694,0.000075188465,4.8121694e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008930061,0.00015260675,0.8671162,0.000024857089,0.000025544736,0.00006722381,0.053326413,0.0000065073464,0.0000043386644,0.06327353,0.0006979998,0.015215468],"study_design_scores_gemma":[0.0031315614,0.0003581859,0.6242605,0.000040029176,0.00008256283,0.000016488213,0.30789572,0.00075164734,0.00008135706,0.053243138,0.0098583745,0.00028042903],"about_ca_topic_score_codex":0.29784575,"about_ca_topic_score_gemma":0.5362433,"teacher_disagreement_score":0.25456932,"about_ca_system_score_codex":0.00012396788,"about_ca_system_score_gemma":0.0002559874,"threshold_uncertainty_score":0.70682997},"labels":[],"label_agreement":null},{"id":"W3154721220","doi":"10.1177/03611981211003104","title":"Measuring Changes in Multimodal Travel Behavior Resulting from Transport Supply Improvement","year":2021,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Multimodality; Metric (unit); Multimodal transport; Mode choice; Sustainable transport; Travel behavior; Modal shift; Index (typography); Transport engineering; Modal; Mode (computer interface); Computer science; Sensitivity (control systems); Econometrics; Causal inference; Transportation planning; Public transport; Sustainability; Engineering; Operations management; Economics","score_opus":0.14676420651330002,"score_gpt":0.40482319797291844,"score_spread":0.2580589914596184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3154721220","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9912691,0.00040867168,0.00024736536,0.005259405,0.00078617304,0.0013254919,0.0002612117,0.00003283634,0.00040975158],"genre_scores_gemma":[0.9956972,0.0011708922,0.0015064668,0.000061069375,0.0004624775,0.00015790934,0.00008197497,0.00005962191,0.0008023891],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9880363,0.0018936804,0.0019714711,0.0007896399,0.0058007357,0.0015081982],"domain_scores_gemma":[0.9931087,0.0011356261,0.0005115977,0.00060252514,0.004044135,0.0005974257],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008213426,0.00033203658,0.0007043698,0.00088423636,0.0012106766,0.00019298731,0.0014616551,0.00036833057,0.0010947236],"category_scores_gemma":[0.00034706076,0.0002888495,0.00051535247,0.0031002779,0.0009952508,0.00096152443,0.000008467448,0.0030627388,0.000010824222],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00077808846,0.0006661066,0.9428837,0.00010845454,0.00007904352,0.00063651375,0.018887898,0.0001124236,0.023185076,0.00039831817,0.00016042916,0.0121039795],"study_design_scores_gemma":[0.0022936978,0.00018658982,0.9598805,0.00050101936,0.00007972155,1.02936724e-7,0.01833791,0.000020929869,0.014295342,0.0012636393,0.0028604728,0.00028012664],"about_ca_topic_score_codex":0.17750944,"about_ca_topic_score_gemma":0.85716355,"teacher_disagreement_score":0.6796541,"about_ca_system_score_codex":0.0006381181,"about_ca_system_score_gemma":0.0021864753,"threshold_uncertainty_score":0.99995637},"labels":[],"label_agreement":null},{"id":"W3155490302","doi":"10.1155/2021/8851449","title":"Fuzzy Multidimensional Assessment Approach of Travel Deprivation in Small Underdeveloped Cities: Case Study of Lhasa, China","year":2021,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Wuhan University of Technology; National Natural Science Foundation of China","keywords":"Disadvantaged; China; Travel behavior; Travel time; Developing country; Inequality; Geography; Fuzzy logic; Transport engineering; Business; Economic growth; Economics; Computer science; Engineering; Mathematics","score_opus":0.035925113910568546,"score_gpt":0.3276643015173917,"score_spread":0.29173918760682316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3155490302","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99232626,0.000081632315,0.0067468258,0.000051315554,0.0001513801,0.000290305,0.00001076788,0.000004376226,0.00033713217],"genre_scores_gemma":[0.9722563,0.000044262888,0.027599558,0.000006852057,0.000031354266,0.0000047541366,0.000026107133,0.00000809365,0.000022739618],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99792933,0.00015300831,0.0011105106,0.00017542364,0.00048922567,0.00014252285],"domain_scores_gemma":[0.9984225,0.0001010273,0.0007535443,0.000106002524,0.0005524126,0.000064498585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007653198,0.00010964372,0.00038342306,0.0001639597,0.000092875845,0.000007760161,0.000105001636,0.000072676936,0.0000220818],"category_scores_gemma":[0.0000419495,0.000105793406,0.00010480492,0.00055379927,0.00007879568,0.00044828787,0.0000020330249,0.00021462128,3.9521126e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022661203,0.0030986276,0.83600837,0.00016063715,0.000087606524,0.00061749236,0.1181423,0.03029809,0.005996692,0.001430195,0.0000010454195,0.0039323294],"study_design_scores_gemma":[0.0021491365,0.00013724905,0.86597383,0.000064363536,0.000057435973,0.000007863289,0.12959571,0.000023891816,0.0008333887,0.0010635878,0.0000045131205,0.00008904747],"about_ca_topic_score_codex":0.0013303392,"about_ca_topic_score_gemma":0.021959608,"teacher_disagreement_score":0.030274197,"about_ca_system_score_codex":0.000095679534,"about_ca_system_score_gemma":0.0006019813,"threshold_uncertainty_score":0.9958871},"labels":[],"label_agreement":null},{"id":"W3156029825","doi":"10.1080/01441647.2021.1912849","title":"Economic impacts on local businesses of investments in bicycle and pedestrian infrastructure: a review of the evidence","year":2021,"lang":"en","type":"review","venue":"Transport Reviews","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":68,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"California Air Resources Board","keywords":"Pedestrian; Business; Transport engineering; Economic impact analysis; Transport infrastructure; Finance; Public economics; Economics; Engineering; Civil engineering","score_opus":0.08720815738223685,"score_gpt":0.39615513700476257,"score_spread":0.3089469796225257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3156029825","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012649978,0.995487,0.000003575117,0.00010944143,0.00020121978,0.0024251281,0.0000651714,0.0000073673255,0.0004361424],"genre_scores_gemma":[0.001667476,0.99791276,0.000041071027,0.00015690099,0.000060966217,0.00006691029,0.000036449506,0.00002060548,0.000036869144],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9960383,0.0007207553,0.0020929968,0.0005213442,0.00033564356,0.00029091712],"domain_scores_gemma":[0.9975633,0.00021011647,0.0013208983,0.0007174035,0.000060896717,0.00012736882],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0020650085,0.00041142027,0.003421135,0.00010008557,0.00007602295,0.000012731424,0.0007230355,0.00024070883,0.0003698277],"category_scores_gemma":[0.00028817815,0.00025408046,0.00077770394,0.0009651943,0.0006460876,0.00024321067,0.0000252126,0.0003701736,0.000004675694],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000039641186,0.00005954284,0.027438426,0.30763498,0.000034365326,0.000005557381,0.0002894153,5.4203116e-7,1.14034606e-7,0.00016789866,0.00016620904,0.664199],"study_design_scores_gemma":[0.00006071616,0.0000116698475,0.019685473,0.3609943,0.00048820974,7.88152e-7,0.0000116181445,4.1156504e-8,8.7260645e-7,0.000041264004,0.61854446,0.00016057318],"about_ca_topic_score_codex":0.0023019586,"about_ca_topic_score_gemma":0.0061413813,"teacher_disagreement_score":0.6640384,"about_ca_system_score_codex":0.00020696268,"about_ca_system_score_gemma":0.002043284,"threshold_uncertainty_score":0.9999911},"labels":[],"label_agreement":null},{"id":"W3157191724","doi":"10.1017/s0008423921000196","title":"I Came, I Saw, I Voted: Distance to Polling Locations and Voter Turnout in Ontario, Canada","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Political Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal; Royal Military College of Canada","funders":"","keywords":"Polling; Turnout; Context (archaeology); Polling system; Voter turnout; Voting; Demographic economics; Geography; Political science; Computer science; Politics; Economics; Computer network; Law","score_opus":0.014332925932390815,"score_gpt":0.2646610444613978,"score_spread":0.250328118529007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3157191724","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.980038,0.00011503192,0.00031987095,0.015011427,0.00036399733,0.000048745183,0.000013983745,0.0000015279735,0.0040874006],"genre_scores_gemma":[0.99770486,7.743568e-7,0.00031808153,0.001414889,0.000082873004,5.3268565e-7,4.204027e-7,0.000002505292,0.00047506366],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99826485,0.000039549697,0.000275704,0.0001828326,0.00040026667,0.0008368036],"domain_scores_gemma":[0.9968835,0.000068177935,0.000042104235,0.000109667446,0.0003196974,0.0025768245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068700913,0.000065743894,0.0001376699,0.00012862221,0.00044354188,0.00017657288,0.00033306348,0.000034821773,0.00024287324],"category_scores_gemma":[0.0007468462,0.00006305624,0.00002367007,0.0006852463,0.00070999627,0.00033611644,0.000010170453,0.00023934487,9.608391e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000018019798,0.0000072151283,0.8491999,0.0000026892171,0.00000155087,0.00020603476,0.0024459425,0.000010835512,0.000038386643,0.14766033,0.000166439,0.00025886478],"study_design_scores_gemma":[0.00006553172,0.000010813361,0.98474216,0.000047983434,0.000004601165,0.0000063596785,0.0020990986,0.0000057296616,0.000106736865,0.0027722311,0.010048924,0.00008980179],"about_ca_topic_score_codex":0.9995156,"about_ca_topic_score_gemma":0.999997,"teacher_disagreement_score":0.1448881,"about_ca_system_score_codex":0.0027977328,"about_ca_system_score_gemma":0.051475503,"threshold_uncertainty_score":0.95390177},"labels":[],"label_agreement":null},{"id":"W3157290898","doi":"10.1016/j.pmedr.2021.101393","title":"The relationship between walk score® and perceived walkability in ultrahigh density areas","year":2021,"lang":"en","type":"article","venue":"Preventive Medicine Reports","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Japan Society for the Promotion of Science; Canadian Institutes of Health Research","keywords":"Walkability; Correlation; Context (archaeology); Built environment; Demography; Medicine; Psychology; Geography; Physical activity; Physical therapy; Mathematics","score_opus":0.05047144070253926,"score_gpt":0.3377682212207372,"score_spread":0.2872967805181979,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3157290898","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99066705,0.00089759025,0.000083273466,0.0036515913,0.00025563868,0.00035561947,0.0000014675513,0.000034862867,0.004052931],"genre_scores_gemma":[0.99805254,0.00007143544,0.000024080777,0.000025806681,0.0002378843,0.000014271464,0.000022925744,0.0000060497327,0.0015450334],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976714,0.0005775427,0.0005594809,0.0004505748,0.00046172694,0.00027924145],"domain_scores_gemma":[0.9975211,0.0015619147,0.00020310085,0.00035173772,0.00021121906,0.00015091643],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003459405,0.000118490134,0.00028234563,0.00003588701,0.00064757024,0.000033631073,0.000097152304,0.00009187173,0.00009410283],"category_scores_gemma":[0.005820534,0.00008293531,0.00006391634,0.00039942324,0.0009520013,0.00018753704,0.00003450793,0.0002902909,0.0000011276554],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000061567366,0.000033017826,0.99216205,0.00001935283,0.000011142681,0.00014656183,0.00517221,8.820124e-8,0.000027778286,0.0003777008,0.000053674077,0.0019902869],"study_design_scores_gemma":[0.00015491658,0.000011760968,0.952708,0.00011123723,0.000048467045,0.0000057174034,0.0019785597,4.835513e-7,0.000052243406,0.044227105,0.0006141384,0.000087343724],"about_ca_topic_score_codex":0.0041321632,"about_ca_topic_score_gemma":0.021869587,"teacher_disagreement_score":0.043849405,"about_ca_system_score_codex":0.00011319201,"about_ca_system_score_gemma":0.00027471344,"threshold_uncertainty_score":0.9959788},"labels":[],"label_agreement":null},{"id":"W3157514441","doi":"10.1016/j.tra.2021.04.005","title":"More than just a bus trip: School busing, disability and access to education in Toronto, Canada","year":2021,"lang":"en","type":"article","venue":"Transportation Research Part A Policy and Practice","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University; Holland Bloorview Kids Rehabilitation Hospital; University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"TRIPS architecture; Stigma (botany); Scholarship; Special education; Psychology; Inclusion (mineral); Mainstreaming; Universal design; Political science; Pedagogy; Social psychology; Engineering; Law","score_opus":0.1177601028198471,"score_gpt":0.5173252022366943,"score_spread":0.3995650994168472,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3157514441","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.929545,0.0007464544,0.000014510251,0.05143732,0.00010399994,0.00057743513,0.00006584163,0.0000177241,0.017491717],"genre_scores_gemma":[0.9959616,0.00076561497,0.00016066807,0.001338754,0.00030264666,0.00008169103,0.00006210432,0.0000081822855,0.0013187298],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974292,0.0007053403,0.0003094365,0.00042932865,0.00068923825,0.00043746477],"domain_scores_gemma":[0.99774367,0.0009909737,0.00006383024,0.00021045696,0.00049954397,0.0004915342],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002085052,0.00010643584,0.00016250259,0.000058485373,0.0005211942,0.00029403483,0.00017213509,0.00008744033,0.0003673858],"category_scores_gemma":[0.0034170833,0.000112525566,0.000020749068,0.0009067263,0.00031430234,0.0019807494,0.00001192324,0.00028695076,0.0000015599206],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041900083,0.00045073894,0.956378,0.00017726926,0.00001930862,0.000026256992,0.016762137,0.000008490182,0.000054058164,0.0070118625,0.0046377745,0.01405512],"study_design_scores_gemma":[0.0002135645,0.000014402976,0.8082615,0.000039737522,0.000013534447,4.8021536e-7,0.023026545,0.0000027214242,0.000036252164,0.00031484247,0.16796833,0.000108043896],"about_ca_topic_score_codex":0.98869085,"about_ca_topic_score_gemma":0.99857026,"teacher_disagreement_score":0.16333055,"about_ca_system_score_codex":0.00064932613,"about_ca_system_score_gemma":0.00909452,"threshold_uncertainty_score":0.996523},"labels":[],"label_agreement":null},{"id":"W3157896509","doi":"10.1080/23249935.2021.1921879","title":"Framework for development of the Scheduler for Activities, Locations, and Travel (SALT) model","year":2021,"lang":"en","type":"article","venue":"Transportmetrica A Transport Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Saint Mary's University; Dalhousie University","funders":"","keywords":"Replicate; Scheduling (production processes); Travel behavior; Computer science; Sample (material); Econometric model; Survey data collection; Control (management); Travel time; Operations research; Econometrics; Transport engineering; Machine learning; Economics; Statistics; Engineering; Artificial intelligence; Operations management","score_opus":0.06269025027966521,"score_gpt":0.34097292244287963,"score_spread":0.27828267216321445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3157896509","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47936088,0.00031207953,0.5181852,0.0006781869,0.00016993289,0.00081407424,0.00014611686,0.00003162747,0.00030191758],"genre_scores_gemma":[0.83266306,0.000058462872,0.16661482,0.00011954595,0.000035723122,0.00014549491,0.000025046174,0.000015675181,0.00032216948],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.997178,0.00002139913,0.0006298713,0.0006871473,0.00086472736,0.0006188657],"domain_scores_gemma":[0.99840593,0.00030538646,0.00019069106,0.00041459876,0.00045011487,0.00023327244],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0016141747,0.00020219055,0.00036564667,0.0002083964,0.0016519491,0.000044248838,0.0007498265,0.00015833521,0.000026455185],"category_scores_gemma":[0.00016101619,0.00016847967,0.00021690436,0.0027608897,0.0017433523,0.0005253205,0.000008604764,0.00017303399,2.4481614e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003217168,0.0014927168,0.36817056,0.0010955718,0.00013344866,0.0000035246433,0.072657324,0.00064662646,0.012850681,0.51704586,0.000042574226,0.02553939],"study_design_scores_gemma":[0.001666872,0.00006836792,0.8301642,0.0002708893,0.0003594602,8.7782064e-7,0.0050469586,0.0015896822,0.10386147,0.045101356,0.010928866,0.0009409822],"about_ca_topic_score_codex":0.00007381798,"about_ca_topic_score_gemma":0.0013603308,"teacher_disagreement_score":0.4719445,"about_ca_system_score_codex":0.00010731078,"about_ca_system_score_gemma":0.004743196,"threshold_uncertainty_score":0.99964774},"labels":[],"label_agreement":null},{"id":"W3158286244","doi":"10.3386/w28516","title":"Measuring Commuting and Economic Activity inside Cities with Cell Phone Records","year":2021,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Tokyo; International Development Research Centre; Asian Development Bank; Fetzer Institute","keywords":"Phone; Wage; Transaction data; Simple (philosophy); Predictive power; Database transaction; Distribution (mathematics); Econometrics; Power (physics); Computer science; Economics; Demographic economics; Labour economics; Mathematics; Database","score_opus":0.4072197383336385,"score_gpt":0.4794044995150171,"score_spread":0.07218476118137862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3158286244","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4890071,0.0006882195,0.000001492383,0.0002684576,0.00023738775,0.00023149472,0.000060126084,0.000013533334,0.5094922],"genre_scores_gemma":[0.98983747,0.0017746453,0.00013732087,0.000005856453,0.0008704984,0.000034220328,0.0000965181,0.000028304474,0.007215184],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99684644,0.00038181612,0.00050262624,0.00059009,0.0012250707,0.00045393634],"domain_scores_gemma":[0.99688053,0.0012417327,0.0003828366,0.00027003474,0.0010747241,0.00015014976],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008310184,0.00019706211,0.0005635937,0.0003903231,0.0006229871,0.00020573947,0.00042011056,0.00033107575,0.00071004085],"category_scores_gemma":[0.0003943167,0.00020573636,0.00011416113,0.00013622329,0.00094667583,0.00044486785,0.00014010486,0.00086605333,0.000016482521],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039425693,0.00036816907,0.94726133,0.0017045678,0.00064237707,0.000036186346,0.0046213353,0.00033662567,0.000347599,0.014730282,0.017387562,0.01216969],"study_design_scores_gemma":[0.0058179437,0.00062842446,0.5704223,0.0031189255,0.00031836322,0.000036793685,0.01718119,0.000759373,0.017196102,0.22785714,0.15224087,0.004422594],"about_ca_topic_score_codex":0.081523776,"about_ca_topic_score_gemma":0.08966394,"teacher_disagreement_score":0.502277,"about_ca_system_score_codex":0.002745191,"about_ca_system_score_gemma":0.013164703,"threshold_uncertainty_score":0.99242973},"labels":[],"label_agreement":null},{"id":"W3158343529","doi":"10.1155/2021/8844743","title":"Examining the Bus Ridership Demand: Application of Spatio-Temporal Panel Models","year":2021,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Florida Department of Transportation; U.S. Department of Transportation","keywords":"Public transport; Transit (satellite); Estimation; Transport engineering; Econometrics; Panel data; Investment (military); Computer science; Process (computing); Variables; Variable (mathematics); Lag; Engineering; Economics; Mathematics","score_opus":0.06006373740189909,"score_gpt":0.30360269324103584,"score_spread":0.24353895583913676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3158343529","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94824994,0.0005640282,0.050049555,0.00047273526,0.0001798959,0.00013142049,0.000008065506,0.000008900431,0.00033543698],"genre_scores_gemma":[0.996696,0.0001741506,0.0028542855,0.000034164892,0.00014021849,0.000004394981,0.000036427053,0.000007616152,0.000052764306],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985439,0.00009209433,0.0006257344,0.00012601874,0.00047570182,0.00013650407],"domain_scores_gemma":[0.9984538,0.00013049343,0.000678131,0.00012861878,0.0005450071,0.000063958236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074369204,0.00007978377,0.00020194352,0.000046493944,0.00016637106,0.00001883084,0.00017624296,0.00006316621,0.000042419688],"category_scores_gemma":[0.000044092572,0.000063423046,0.00011119144,0.00033469292,0.00011893519,0.00063383806,0.000001027648,0.00015922597,4.426461e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047145423,0.00034001333,0.7140324,0.00016565858,0.000110829584,0.000032781132,0.073693044,0.14893554,0.007922453,0.009823258,0.00003600846,0.044436533],"study_design_scores_gemma":[0.0008980862,0.00008340821,0.94299334,0.00009586193,0.00014949679,0.0000010917086,0.019868234,0.00026124925,0.004716226,0.028853834,0.0019248431,0.00015434469],"about_ca_topic_score_codex":0.00020482275,"about_ca_topic_score_gemma":0.0054734885,"teacher_disagreement_score":0.2289609,"about_ca_system_score_codex":0.000036927875,"about_ca_system_score_gemma":0.00024086438,"threshold_uncertainty_score":0.3054335},"labels":[],"label_agreement":null},{"id":"W3158374186","doi":"","title":"A Comparison of Micro- and Zone-based Trip Generation Models with an Application to London, Ontario","year":2021,"lang":"en","type":"article","venue":"Transportation Research Board 100th Annual MeetingTransportation Research BoardTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science","score_opus":0.12957949275475597,"score_gpt":0.4434996335068234,"score_spread":0.3139201407520674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3158374186","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95922774,0.00048522232,0.029395405,0.0034526004,0.00013935746,0.0050174645,0.0006588784,0.0002691667,0.0013541452],"genre_scores_gemma":[0.9715962,0.00021930359,0.020935846,0.00012318768,0.00030308575,0.0015237838,0.0034933707,0.00016797108,0.0016372942],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9753919,0.0046155984,0.0026646252,0.0028611054,0.011378071,0.00308868],"domain_scores_gemma":[0.9710523,0.0018213362,0.00046236144,0.0014561816,0.022913678,0.0022941667],"candidate_categories":["metaepi_narrow","sts","research_integrity"],"consensus_categories":["sts"],"category_scores_codex":[0.017621668,0.0007237781,0.001302427,0.002972787,0.003714159,0.0006160044,0.001319992,0.00081228197,0.000677511],"category_scores_gemma":[0.00045138612,0.0007714378,0.00027831417,0.0078059416,0.0033870426,0.002769282,0.000020703654,0.0034078895,0.000044031694],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0059743132,0.003185752,0.76206434,0.0010713005,0.00022307425,0.00027628517,0.14019988,0.022029348,0.031278223,0.024798384,0.0015869843,0.0073120794],"study_design_scores_gemma":[0.0059189023,0.0035335761,0.8223481,0.0007152233,0.00019300316,5.4538003e-7,0.08270245,0.0033083437,0.040828,0.0034005935,0.03535935,0.0016919198],"about_ca_topic_score_codex":0.29946092,"about_ca_topic_score_gemma":0.9219482,"teacher_disagreement_score":0.6224873,"about_ca_system_score_codex":0.00094195653,"about_ca_system_score_gemma":0.008105979,"threshold_uncertainty_score":0.99947363},"labels":[],"label_agreement":null},{"id":"W315843765","doi":"","title":"An Empirical Analysis of the Relationship between Road Development and Residential Land Development","year":2005,"lang":"en","type":"article","venue":"Canadian Journal of Regional Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geography; Land use; Land development; Terrain; Urban planning; Regional science; Cartography; Civil engineering","score_opus":0.08898447547382268,"score_gpt":0.3534872795832348,"score_spread":0.26450280410941207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W315843765","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968686,0.000117543874,0.000112698515,0.0025240101,0.000055870216,0.00004242734,0.0000019453757,0.0000017054355,0.000275187],"genre_scores_gemma":[0.9981156,0.0000011219784,0.0015989811,0.00008295104,0.000106215564,3.6781535e-7,0.0000010574075,0.000001626379,0.00009205667],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99854475,0.000075968615,0.00035165786,0.00013632503,0.0006606679,0.00023059982],"domain_scores_gemma":[0.99878067,0.00009083816,0.00021416722,0.000100804944,0.00023216776,0.00058133836],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020295943,0.000056235003,0.00014100257,0.0003783981,0.0010978816,0.00008488368,0.00057918916,0.000044271834,0.000037630914],"category_scores_gemma":[0.00021747188,0.00004028032,0.000054579985,0.0014896998,0.0011455864,0.00049846293,0.000009517281,0.00012367341,7.039203e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000019996126,0.0000055534847,0.9884488,9.823169e-7,0.00001892047,0.0000013993828,0.007798699,0.00003644545,0.0000043360697,0.00021849066,0.000049132726,0.0034152698],"study_design_scores_gemma":[0.000060835027,0.0000058719784,0.9893932,0.000015116068,0.0000517678,7.5901187e-7,0.0003450971,0.000008636725,0.00005936868,0.00015157064,0.009851833,0.0000559732],"about_ca_topic_score_codex":0.00631421,"about_ca_topic_score_gemma":0.477555,"teacher_disagreement_score":0.4712408,"about_ca_system_score_codex":0.00028429515,"about_ca_system_score_gemma":0.008333885,"threshold_uncertainty_score":0.9972879},"labels":[],"label_agreement":null},{"id":"W3158815763","doi":"","title":"Cycle Accessibility and Level of Traffic Stress: A Case Study of Toronto","year":2018,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Cycling; Stress (linguistics); Intersection (aeronautics); Transport engineering; Geography; Engineering","score_opus":0.09486633621556609,"score_gpt":0.40090990474769034,"score_spread":0.3060435685321242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3158815763","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9843658,0.00007236874,2.6471125e-7,0.000022198861,0.00007121018,0.00048474764,0.00003570911,0.000009901129,0.014937802],"genre_scores_gemma":[0.99944806,0.00022266695,0.000060984985,0.000003923065,0.00007903838,0.000016460339,0.000001011827,0.000007847668,0.00016001689],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982791,0.0002929852,0.00046450918,0.00040038466,0.00022336452,0.000339668],"domain_scores_gemma":[0.99889237,0.00029258023,0.00011463963,0.00040869476,0.00016561667,0.00012612405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023004164,0.00008795189,0.00027585094,0.000057675243,0.00024214352,0.000033439672,0.0003251352,0.0000925921,0.00022400293],"category_scores_gemma":[0.00022765776,0.000086222004,0.000041613228,0.000117213756,0.0011562777,0.0003639174,0.00008881395,0.00014660426,3.139113e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001170597,0.0012178322,0.793811,0.000061523846,0.000030420006,0.000040588624,0.043104667,0.000027964972,0.00004908991,0.000041639658,0.000004801076,0.16149338],"study_design_scores_gemma":[0.001440238,0.0006958985,0.7944608,0.00004140298,0.000014560921,0.0000028520021,0.20161074,0.0006674743,0.00026802954,0.00021218104,0.00036629778,0.00021955241],"about_ca_topic_score_codex":0.04640222,"about_ca_topic_score_gemma":0.68973786,"teacher_disagreement_score":0.64333564,"about_ca_system_score_codex":0.0002135783,"about_ca_system_score_gemma":0.00026503488,"threshold_uncertainty_score":0.9599479},"labels":[],"label_agreement":null},{"id":"W3159240169","doi":"10.1016/j.compenvurbsys.2021.101652","title":"An iterative tessellation-based analytical approach to the design and planning of waste management regions","year":2021,"lang":"en","type":"article","venue":"Computers Environment and Urban Systems","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Standard deviation; Centroid; Voronoi diagram; Centroidal Voronoi tessellation; Waste collection; Municipal solid waste; Feature (linguistics); Geometric standard deviation; Nova scotia; Data collection; Computer science; Geography; Statistics; Mathematics; Engineering; Waste management; Geometry","score_opus":0.03844223297327981,"score_gpt":0.25804444211761024,"score_spread":0.21960220914433043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3159240169","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24437241,0.0007579832,0.75230265,0.00027601668,0.00011512649,0.0005741894,0.000003953623,0.000016788146,0.0015808715],"genre_scores_gemma":[0.99576783,0.000012176268,0.003759516,0.00005301503,0.00010865763,0.000015291535,0.000010717472,0.0000046660366,0.00026810647],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99897486,0.00024314811,0.00017540832,0.0002680818,0.00020565424,0.00013284052],"domain_scores_gemma":[0.99953383,0.00010991354,0.00005464482,0.00018420181,0.000012996204,0.00010439691],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004101941,0.00008573101,0.00014515786,0.000034828157,0.00026985494,0.000104170416,0.00011380124,0.000034803725,0.0000033216575],"category_scores_gemma":[0.0000029023265,0.000065465465,0.000024390303,0.000111752255,0.00015425085,0.00008151383,0.000023322553,0.00004514166,6.1831656e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000067773355,0.00048801693,0.6767499,0.0002609898,0.00020696952,0.000030376483,0.05430882,0.23892635,0.00010320053,0.021570802,0.005229692,0.0020571041],"study_design_scores_gemma":[0.001081347,0.00019565303,0.18335992,0.0003156038,0.00023093288,0.0000015453384,0.034427933,0.75568193,0.00013620392,0.00019965769,0.023775905,0.0005933399],"about_ca_topic_score_codex":0.000028438244,"about_ca_topic_score_gemma":0.000001594857,"teacher_disagreement_score":0.75139546,"about_ca_system_score_codex":0.00002674386,"about_ca_system_score_gemma":0.000014854027,"threshold_uncertainty_score":0.2669604},"labels":[],"label_agreement":null},{"id":"W3159453798","doi":"10.3390/ijerph18094481","title":"Children’s Independent Mobility and Physical Activity during the COVID-19 Pandemic: A Qualitative Study with Families","year":2021,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Friendship; Feeling; Pandemic; Thematic analysis; Psychology; Neighbourhood (mathematics); Anxiety; Developmental psychology; Qualitative research; Coronavirus disease 2019 (COVID-19); Social psychology; Medicine; Sociology; Psychiatry; Disease","score_opus":0.12040599381513409,"score_gpt":0.473188233306658,"score_spread":0.3527822394915239,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3159453798","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9888962,0.00025091146,0.000037203747,0.010425855,0.000034455283,0.00024568933,0.000050308914,0.0000040560567,0.000055315282],"genre_scores_gemma":[0.998797,0.0007722706,0.000011135298,0.0001325262,0.00018640798,0.0000075053626,0.000002824344,0.0000037346797,0.0000866188],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9962989,0.001505826,0.00018951186,0.00020730708,0.0015238071,0.0002746371],"domain_scores_gemma":[0.99861175,0.00056921464,0.00013855341,0.00008990553,0.00010048196,0.0004900701],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004749459,0.00007174818,0.00015155665,0.00008216826,0.00063384423,0.00018443976,0.00025628594,0.00002612302,0.000068243906],"category_scores_gemma":[0.0003353018,0.000046123227,0.00003250106,0.00011665634,0.00093736325,0.00045063012,0.00011393948,0.00051073893,5.510627e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017881006,0.0017355072,0.8879543,0.0000067562464,0.00009214893,0.000024227369,0.104560114,5.674505e-7,0.000057001325,0.000074238975,0.000008049632,0.0053083096],"study_design_scores_gemma":[0.0006599672,0.0002803458,0.82653636,0.0000047802937,0.0000020789664,0.000024105198,0.17146799,0.0000012069675,0.000008636501,0.000541609,0.00043415473,0.000038767124],"about_ca_topic_score_codex":0.003052381,"about_ca_topic_score_gemma":0.005742121,"teacher_disagreement_score":0.06690787,"about_ca_system_score_codex":0.00066917815,"about_ca_system_score_gemma":0.0010014714,"threshold_uncertainty_score":0.48750815},"labels":[],"label_agreement":null},{"id":"W3159758305","doi":"10.3390/atmos12050547","title":"Untangling Urban Sprawl and Climate Change: A Review of the Literature on Physical Planning and Transportation Drivers","year":2021,"lang":"en","type":"review","venue":"Atmosphere","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Urban sprawl; Climate change; Geography; Environmental planning; Urban climate; Land use; Urban planning; Land use, land-use change and forestry; Environmental resource management; Natural resource economics; Economic geography; Environmental science; Ecology; Economics","score_opus":0.036557642227643336,"score_gpt":0.3484712629431271,"score_spread":0.31191362071548373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3159758305","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0044328943,0.99404347,3.0842273e-7,0.00010807933,0.00012412752,0.0006362545,0.000085110914,0.000018377821,0.0005513741],"genre_scores_gemma":[0.003142128,0.99628264,0.000034284563,0.00012091391,0.00025248525,0.00002944835,0.00007330194,0.000016179058,0.000048613125],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986944,0.00019982707,0.0002919463,0.00034816153,0.0002711335,0.00019452076],"domain_scores_gemma":[0.9992589,0.000120282464,0.0002927923,0.0002012491,0.000060386887,0.0000663892],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027897797,0.0002188519,0.0008649876,0.0000032963756,0.00024468175,0.0000517085,0.0001715638,0.0001767822,0.000027343009],"category_scores_gemma":[0.000033394997,0.0001438184,0.0002791296,0.00048811073,0.00017375527,0.00015767715,0.000013309378,0.000333849,5.8883455e-7],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005021899,0.000072577335,0.023922646,0.15572225,0.00010020982,0.000042363983,0.022700885,1.9457896e-7,8.642477e-8,0.002837116,0.000295177,0.7943015],"study_design_scores_gemma":[0.000088240224,0.000020930134,0.0030614657,0.37234882,0.00085482904,5.6538863e-7,0.00053536444,8.99486e-7,3.4077297e-7,0.00003452188,0.6228244,0.0002296392],"about_ca_topic_score_codex":0.00006570664,"about_ca_topic_score_gemma":0.00016627833,"teacher_disagreement_score":0.79407185,"about_ca_system_score_codex":0.00002961541,"about_ca_system_score_gemma":0.00009604107,"threshold_uncertainty_score":0.58647436},"labels":[],"label_agreement":null},{"id":"W3159799002","doi":"10.1080/03081060.2021.1919350","title":"Does the use of smartphones affect discretionary trips? An analysis of smartphone use data from Halifax, Nova Scotia","year":2021,"lang":"en","type":"article","venue":"Transportation Planning and Technology","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University; McMaster University","funders":"","keywords":"TRIPS architecture; Nova scotia; Advertising; Perception; Smartphone application; Affect (linguistics); Travel behavior; Transport engineering; Business; Geography; Psychology; Engineering; Computer science; Multimedia","score_opus":0.09042516334321465,"score_gpt":0.3379171986758825,"score_spread":0.24749203533266784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3159799002","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99469376,0.0003080171,0.0017377461,0.0008560714,0.00012890087,0.000108714354,0.0020842187,0.00007275164,0.000009801432],"genre_scores_gemma":[0.9941607,0.0000593984,0.0013069828,0.000025536172,0.000020031988,0.000002239343,0.0043508243,0.000006586378,0.000067697285],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987096,0.00011699828,0.00039893395,0.0003920543,0.0002277231,0.00015465051],"domain_scores_gemma":[0.9985973,0.00039786176,0.00021662243,0.00059015333,0.00015470169,0.000043325123],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000295797,0.00010995469,0.00035635394,0.0002301497,0.00016153052,0.000036710877,0.00031421208,0.00017775052,0.00019134769],"category_scores_gemma":[0.00011930232,0.00007142432,0.000063965985,0.0014826711,0.00067975675,0.00061430165,0.000011364583,0.00013861273,5.2232355e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051448278,0.00008791794,0.99420524,0.000013677121,0.00028804247,0.0000149052885,0.0025561631,0.00011840747,0.0012269706,0.00065434346,0.000041532832,0.00074136775],"study_design_scores_gemma":[0.00020946219,0.000019959825,0.9928001,0.000035103527,0.00080316816,1.04957465e-7,0.0029055974,0.00035934246,0.0016551832,0.00043483332,0.00067771965,0.000099417586],"about_ca_topic_score_codex":0.024087721,"about_ca_topic_score_gemma":0.16683552,"teacher_disagreement_score":0.14274779,"about_ca_system_score_codex":0.000006909694,"about_ca_system_score_gemma":0.000092957154,"threshold_uncertainty_score":0.98241097},"labels":[],"label_agreement":null},{"id":"W3160523774","doi":"10.32866/001c.24072","title":"Changes in Transit Accessibility to Food Banks in Toronto during COVID-19","year":2021,"lang":"en","type":"article","venue":"Findings","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Food insecurity; Public transport; 2019-20 coronavirus outbreak; Pandemic; Food supply; Business; Transit (satellite); Low income; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Food security; Geography; Agricultural economics; Socioeconomics; Medicine; Economics; Transport engineering; Engineering; Agriculture; Virology","score_opus":0.04498640756139525,"score_gpt":0.3417946113831195,"score_spread":0.29680820382172424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3160523774","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98883593,0.00022721267,0.00002996153,0.004729429,0.0001690728,0.00030454915,0.000024229988,0.00006184237,0.005617776],"genre_scores_gemma":[0.99851763,0.000028505065,0.000091046786,0.0006497029,0.00009483896,0.000039952483,0.0000091364645,0.000008785951,0.0005603692],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982936,0.00012253839,0.0002700622,0.00052966335,0.00030320344,0.0004809492],"domain_scores_gemma":[0.99935055,0.00007905732,0.000032770327,0.00022394506,0.000036774018,0.0002769201],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008613838,0.00012303294,0.00024110347,0.00007477167,0.0002360781,0.00009232854,0.0003309253,0.00014718669,0.0023916932],"category_scores_gemma":[0.00034952312,0.00013531906,0.000058484125,0.0006727861,0.00007246638,0.00046336878,0.000040572322,0.00015705384,0.000008689594],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003928909,0.00010321981,0.9551823,0.0000759478,0.000003464428,0.000043341362,0.042578205,0.0000035379844,0.0010100809,0.00032432014,0.00003432977,0.00060197903],"study_design_scores_gemma":[0.00047429584,0.000020414387,0.98771966,0.000035953217,0.0000039474853,1.9138513e-7,0.005154764,0.0000012096607,0.0029474022,0.00059991406,0.0028648763,0.00017739998],"about_ca_topic_score_codex":0.023443196,"about_ca_topic_score_gemma":0.91512465,"teacher_disagreement_score":0.89168143,"about_ca_system_score_codex":0.0012339954,"about_ca_system_score_gemma":0.0003455843,"threshold_uncertainty_score":0.99852026},"labels":[],"label_agreement":null},{"id":"W3161101586","doi":"10.32866/001c.22163","title":"Who Bikes? An Assessment of Leisure and Commuting Bicycling from the Canadian Community Health Survey","year":2021,"lang":"en","type":"article","venue":"Findings","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University; University of British Columbia; Simon Fraser University","funders":"Canadian Institutes of Health Research; Michael Smith Health Research BC","keywords":"Quarter (Canadian coin); Geography; Population; Demography; Gerontology; Psychology; Medicine; Sociology","score_opus":0.09682710095147315,"score_gpt":0.40923786106637244,"score_spread":0.3124107601148993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3161101586","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964147,0.00016100032,0.000019630568,0.0013593682,0.00009074365,0.00009687667,0.00025597206,0.000014158284,0.00158754],"genre_scores_gemma":[0.99919903,0.000025275775,0.00021929524,0.00025777635,0.000042829583,0.0000010490216,0.00020213886,0.0000055915475,0.000047033707],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99791336,0.0012838604,0.00021139061,0.00013336707,0.00020489132,0.00025312032],"domain_scores_gemma":[0.9987153,0.00062092417,0.00009858666,0.0002790926,0.00010053001,0.00018561429],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.004206635,0.000068676585,0.00019654796,0.000024037055,0.002456032,0.0001431455,0.00030982425,0.000070440474,0.00009345946],"category_scores_gemma":[0.00017130436,0.00005852144,0.0000288591,0.000285228,0.00024237685,0.0001671986,0.00003728526,0.00040761818,3.9778644e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[9.500766e-7,0.000023442088,0.98521113,0.000006712485,0.000007837868,7.416585e-7,0.013592335,7.220428e-7,0.000014085436,0.0004230484,0.000108547785,0.00061047135],"study_design_scores_gemma":[0.000087161134,0.000012396357,0.99305964,0.000046846508,0.0000051760767,4.9368534e-8,0.005550404,0.000025465975,0.000026451558,0.0004412607,0.0006842107,0.00006093556],"about_ca_topic_score_codex":0.9889893,"about_ca_topic_score_gemma":0.99934715,"teacher_disagreement_score":0.010357882,"about_ca_system_score_codex":0.00013665066,"about_ca_system_score_gemma":0.0012075295,"threshold_uncertainty_score":0.99884266},"labels":[],"label_agreement":null},{"id":"W3161598376","doi":"10.24149/wp2028","title":"The Geography of Jobs and the Gender Wage Gap","year":2020,"lang":"en","type":"article","venue":"Federal Reserve Bank of Dallas, Working Papers","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Wage; Residence; Differential (mechanical device); Economics; Labour economics; Distribution (mathematics); Spatial mismatch; Compensating differential; Demographic economics; Efficiency wage; Wage share; Mathematics","score_opus":0.050825075383108514,"score_gpt":0.2837631929989474,"score_spread":0.2329381176158389,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3161598376","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86751175,0.0036141307,0.000006110205,0.01185226,0.00016294324,0.0003675227,0.0000060317216,0.000036218775,0.11644305],"genre_scores_gemma":[0.99870604,0.0005529689,0.000066244334,0.00035496338,0.00015215148,0.000007677633,0.0000026093924,0.000009609017,0.00014771995],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982521,0.00028890642,0.0003547003,0.00024246672,0.00054241734,0.00031939778],"domain_scores_gemma":[0.9987873,0.0006082754,0.00019929404,0.00023044492,0.00006586186,0.000108832755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011700498,0.00012223596,0.00025068122,0.000020231399,0.00094755495,0.0001328556,0.0006052296,0.0000817204,0.000094428666],"category_scores_gemma":[0.00033509606,0.00006995955,0.00021539141,0.00035576202,0.0013935068,0.000080771766,0.000084049585,0.00020613363,0.0000010038544],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035745086,0.000018756697,0.9779859,0.000039632952,0.00010052151,0.0000019883714,0.0063733966,0.000007830329,0.00013840567,0.010179347,0.00045416158,0.004342605],"study_design_scores_gemma":[0.0013897228,0.00006188572,0.9226695,0.00007458335,0.000062499654,1.16641424e-7,0.0049443888,0.00004613111,0.00018520822,0.004444889,0.06590276,0.0002183185],"about_ca_topic_score_codex":0.001967046,"about_ca_topic_score_gemma":0.0036361867,"teacher_disagreement_score":0.13119432,"about_ca_system_score_codex":0.000011604307,"about_ca_system_score_gemma":0.00008065265,"threshold_uncertainty_score":0.72879225},"labels":[],"label_agreement":null},{"id":"W3161600438","doi":"10.11124/jbies-20-00354","title":"Association between neighborhood built environment and health-related fitness: a systematic review protocol","year":2021,"lang":"en","type":"review","venue":"JBI Evidence Synthesis","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"CINAHL; Cardiorespiratory fitness; Physical fitness; Built environment; MEDLINE; Psychology; Gerontology; Systematic review; Psychological intervention; Association (psychology); Documentation; Population; Applied psychology; Medicine; Environmental health; Computer science; Physical therapy; Engineering; Psychiatry; Biology","score_opus":0.05662135666084337,"score_gpt":0.3900024775884333,"score_spread":0.3333811209275899,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3161600438","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[6.03886e-7,0.86547333,0.000014077425,0.0020991133,0.000058560683,0.13202848,0.00003985003,0.0000827365,0.00020327266],"genre_scores_gemma":[0.000022511407,0.8333879,0.00004264132,0.00007660816,0.00014186128,0.1651994,0.000016137952,0.000037573645,0.0010753362],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.99023944,0.004435691,0.00248927,0.0009340991,0.0012734863,0.0006280181],"domain_scores_gemma":[0.9918835,0.0039853556,0.0029857834,0.0007348358,0.00009600658,0.00031447876],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.010714855,0.0005412713,0.0050334143,0.000109769215,0.00057592965,0.00022549383,0.000747,0.00065858633,0.0008741025],"category_scores_gemma":[0.006248252,0.00042974632,0.00077007787,0.00069585134,0.00014351144,0.0005403587,0.00010124983,0.0005548331,0.00013464318],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[3.746891e-7,0.00004050808,0.002688459,0.8942874,0.00036205014,0.0000064857604,0.0002461728,1.1531971e-8,5.6798535e-9,0.000023275801,0.00045907826,0.10188616],"study_design_scores_gemma":[0.000035686953,0.000016924823,0.00028881457,0.8248362,0.0054761297,9.38432e-7,0.0000634684,2.3265906e-7,1.546285e-7,0.000060781807,0.16880633,0.0004143459],"about_ca_topic_score_codex":0.0009791758,"about_ca_topic_score_gemma":0.0002168519,"teacher_disagreement_score":0.16834725,"about_ca_system_score_codex":0.0016500681,"about_ca_system_score_gemma":0.0012876265,"threshold_uncertainty_score":0.9998154},"labels":[],"label_agreement":null},{"id":"W3161645690","doi":"10.1155/2021/6637251","title":"A Balanced Strategy for the FFBS Operator Integrating Dispatch Area, Route, and Depot Based on Multimodel Technologies","year":2021,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Scheduling (production processes); Computer science; Economic dispatch; Cluster analysis; Operational planning; Operations research; Transport engineering; Engineering; Operations management; Electric power system","score_opus":0.024205273169357118,"score_gpt":0.31331689161486037,"score_spread":0.28911161844550326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3161645690","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9195331,0.0005245455,0.07752078,0.0017774097,0.00018828183,0.00027774242,0.000041991803,0.000038024842,0.00009813442],"genre_scores_gemma":[0.98575014,0.00017966775,0.013861506,0.00007798329,0.000054308664,0.000020244712,0.000018575054,0.0000089047535,0.000028684206],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99894196,0.000032841373,0.00040627192,0.00016958723,0.0002740138,0.00017533994],"domain_scores_gemma":[0.9988524,0.00032266878,0.00026185016,0.00010935651,0.0004058216,0.000047936785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003482926,0.00011311435,0.00020705187,0.000045427973,0.0003461016,0.00007146009,0.00015690795,0.000084030304,0.000015504269],"category_scores_gemma":[0.00018268147,0.0000761049,0.0001112936,0.0002327807,0.00012098201,0.0004827449,0.0000010796192,0.00021951104,8.8910504e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013638745,0.0005576224,0.41692033,0.00018674458,0.00013039782,0.00009853035,0.01318737,0.33277437,0.014998157,0.0052127703,0.00006083787,0.21450898],"study_design_scores_gemma":[0.0052030715,0.00059593614,0.8602318,0.0006000164,0.0002833493,0.000001969646,0.08531855,0.022073938,0.014497186,0.008714142,0.0019493472,0.00053068605],"about_ca_topic_score_codex":0.00008647675,"about_ca_topic_score_gemma":0.005125827,"teacher_disagreement_score":0.44331148,"about_ca_system_score_codex":0.000045802564,"about_ca_system_score_gemma":0.00026888165,"threshold_uncertainty_score":0.31034678},"labels":[],"label_agreement":null},{"id":"W3161838289","doi":"","title":"An Empirical Evaluation of the Effect of Covid-19 Travel Restrictions on Canadians' Cross Border Travel and Canadian Retailers","year":2021,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Revenue; Counterfactual thinking; Border crossing; Coronavirus disease 2019 (COVID-19); Demographic economics; Geography; Economic impact analysis; Business; Kilometer; Distance decay; Economics; Economic geography; Immigration; Finance","score_opus":0.06971669533748052,"score_gpt":0.4472043485474744,"score_spread":0.37748765320999383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3161838289","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96439147,0.000086169544,8.546562e-7,0.0010420355,0.00024479209,0.0011456336,0.00024119933,0.0000047879366,0.032843042],"genre_scores_gemma":[0.99903744,0.00037127547,0.000013825261,0.00007124429,0.00006923973,0.0000955011,0.000054693828,0.000016629116,0.00027017255],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99561954,0.002031645,0.0005142951,0.00066828495,0.0006322669,0.0005339468],"domain_scores_gemma":[0.9974013,0.0007033408,0.00017355478,0.0007694425,0.00027378264,0.0006785729],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008167196,0.00017430901,0.00042646806,0.00036865036,0.00057480414,0.00012708314,0.0005623153,0.000493243,0.0002626144],"category_scores_gemma":[0.0023861546,0.0001582504,0.00015054648,0.00036822638,0.001308021,0.00011143637,0.000060475686,0.000981042,1.9278762e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006131803,0.000051741765,0.96576893,0.00013178747,0.000048394748,0.0000046984433,0.008104032,0.0065886374,0.0000242396,0.00007224495,0.000022412607,0.019121569],"study_design_scores_gemma":[0.00054092694,0.000094687006,0.99059314,0.00007175323,0.000038608014,3.760701e-7,0.0054509533,0.0019244293,0.00011044834,0.00023930913,0.00076724344,0.0001681224],"about_ca_topic_score_codex":0.78648156,"about_ca_topic_score_gemma":0.9853915,"teacher_disagreement_score":0.19890991,"about_ca_system_score_codex":0.0027861772,"about_ca_system_score_gemma":0.017301764,"threshold_uncertainty_score":0.9882692},"labels":[],"label_agreement":null},{"id":"W3162163658","doi":"10.1080/13574809.2021.1917984","title":"Keeping young families in the centre: a pathways approach to child-friendly urban design","year":2021,"lang":"en","type":"article","venue":"Journal of Urban Design","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Environmentally friendly; Family-friendly; Quality (philosophy); Urban design; Environmental planning; Process (computing); Engineering; Civil engineering; Urban planning; Geography; Computer science; Ecology","score_opus":0.04379002691313859,"score_gpt":0.26209303477125634,"score_spread":0.21830300785811774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3162163658","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34620684,0.010309619,0.5083208,0.008880412,0.002276065,0.002783706,0.000023209268,0.00014728276,0.12105204],"genre_scores_gemma":[0.9851468,0.00009671713,0.013138367,0.0005287194,0.00067490444,0.000008126875,0.0000018108341,0.00001803603,0.00038652073],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.996076,0.001414392,0.0007215873,0.00030358785,0.00093273574,0.0005516948],"domain_scores_gemma":[0.99846196,0.00040807726,0.00031794002,0.00030064656,0.0002884502,0.0002229287],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004465472,0.00020107965,0.00040445215,0.00018070651,0.0005007732,0.00028575477,0.0008677617,0.00012928848,0.00004907742],"category_scores_gemma":[0.0005693544,0.00015000788,0.00022724783,0.0011648453,0.00015610494,0.0005451316,0.000027262533,0.0005295442,0.000008706283],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00058686075,0.0025411646,0.33172804,0.00009603723,0.00021371999,0.0011562594,0.43357047,0.0016211114,0.0022431468,0.010294116,0.21032785,0.0056212195],"study_design_scores_gemma":[0.0058056195,0.0011713925,0.563582,0.0012038514,0.00061381166,0.00026432384,0.28102708,0.001015824,0.0074907374,0.009371947,0.12590455,0.00254884],"about_ca_topic_score_codex":0.00020334043,"about_ca_topic_score_gemma":0.0002848821,"teacher_disagreement_score":0.63894,"about_ca_system_score_codex":0.00018926254,"about_ca_system_score_gemma":0.0006600291,"threshold_uncertainty_score":0.61171436},"labels":[],"label_agreement":null},{"id":"W3162299972","doi":"10.1080/03081060.2021.1927303","title":"An inductive experimental approach to developing a web-based travel survey builder: developing guidelines to design an efficient web-survey platform","year":2021,"lang":"en","type":"article","venue":"Transportation Planning and Technology","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Respondent; Usability; Web application; Survey data collection; Web testing; Web survey; Computer science; Survey methodology; World Wide Web; Engineering; Web application security; The Internet; Web development; Human–computer interaction","score_opus":0.15709498269337754,"score_gpt":0.38625884518181197,"score_spread":0.22916386248843443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3162299972","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7699088,0.00011448005,0.22868495,0.00041722195,0.000113144844,0.0003865546,0.00007741015,0.00024624233,0.000051230574],"genre_scores_gemma":[0.88247156,0.0000026865766,0.116598345,0.00027607346,0.000028130107,0.00007803181,0.00050843676,0.000021861659,0.0000148866275],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997647,0.00021286345,0.00054878666,0.00077837694,0.00033565777,0.00047730928],"domain_scores_gemma":[0.9987263,0.00012048711,0.000108110384,0.00023851759,0.0005831854,0.00022339704],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0016568126,0.00025033663,0.00036434171,0.000389627,0.00070700876,0.00009313752,0.00032231465,0.00031562193,0.00001111974],"category_scores_gemma":[0.0001796162,0.00026272843,0.00002913021,0.0016888375,0.00018767235,0.00023294057,0.0000069779285,0.00020455435,0.0000021326643],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002934591,0.000401779,0.95224774,0.00003561722,0.00004790454,0.000037009326,0.020628538,0.008868183,0.010054364,0.003986124,0.00007708522,0.0033221904],"study_design_scores_gemma":[0.0007973371,0.00015904124,0.9566877,0.00009307203,0.00001865476,0.0000011813335,0.015224287,0.0021195721,0.023964256,0.00017174096,0.00018183036,0.00058134116],"about_ca_topic_score_codex":0.0021836665,"about_ca_topic_score_gemma":0.010394757,"teacher_disagreement_score":0.112562776,"about_ca_system_score_codex":0.0001149979,"about_ca_system_score_gemma":0.0010854999,"threshold_uncertainty_score":0.9999825},"labels":[],"label_agreement":null},{"id":"W3162419327","doi":"10.1080/01944363.2021.1877181","title":"Redrawing the Planners’ Circle","year":2021,"lang":"en","type":"article","venue":"Journal of the American Planning Association","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); TRIPS architecture; Mile; Geography; Univariate; Multivariate statistics; Demographic economics; Statistics; Demography; Transport engineering; Mathematics; Sociology; Economics; Engineering","score_opus":0.01673817644590654,"score_gpt":0.3102030266567128,"score_spread":0.29346485021080626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3162419327","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9794513,0.00024139693,0.00006230718,0.015652932,0.0006401724,0.000031802265,0.0000024311362,0.00001041896,0.003907221],"genre_scores_gemma":[0.99759316,0.000022783019,0.00008860639,0.00072295155,0.00057247095,4.1360374e-7,6.548444e-7,0.0000042879597,0.0009946756],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99850625,0.0004225394,0.0002479689,0.000068527894,0.0005791695,0.00017553664],"domain_scores_gemma":[0.9980321,0.0004132592,0.0011740118,0.000113630165,0.00022622278,0.000040799936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017835678,0.00004594578,0.00015137371,0.000021123693,0.00059922884,0.00010579843,0.0003250733,0.000028921586,0.000015264908],"category_scores_gemma":[0.0010673886,0.00002965129,0.00015605296,0.00045911287,0.00010157945,0.00018264909,0.000018108058,0.00029308777,0.0000030643282],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000114862505,0.00001951568,0.98279923,0.000001150344,0.000049643888,0.0000090492,0.008280721,0.0002062986,0.00029328652,0.000026079646,0.006279267,0.002024257],"study_design_scores_gemma":[0.00009609409,0.00001365405,0.975911,0.000034777564,0.00004867683,0.000001996908,0.008364193,0.000012032,0.00019388013,0.0005516969,0.014723656,0.00004830369],"about_ca_topic_score_codex":0.00031550197,"about_ca_topic_score_gemma":0.0001444992,"teacher_disagreement_score":0.018141838,"about_ca_system_score_codex":0.00030763005,"about_ca_system_score_gemma":0.00029762049,"threshold_uncertainty_score":0.46088445},"labels":[],"label_agreement":null},{"id":"W3162712577","doi":"10.1016/j.trd.2021.102849","title":"Can transit investments in low-income neighbourhoods increase transit use? Exploring the nexus of income, car-ownership, and transit accessibility in Toronto","year":2021,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":49,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University; McGill University; University of Toronto; The Scarborough Hospital","funders":"","keywords":"Transit (satellite); Public transport; Equity (law); Car ownership; Business; Low income; Social equality; Nexus (standard); Mode choice; Demographic economics; Transport engineering; Economics; Engineering; Political science","score_opus":0.07994208264900798,"score_gpt":0.333636634131297,"score_spread":0.25369455148228903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3162712577","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99556863,0.0010683944,0.00010614325,0.0012837267,0.00008576976,0.0011254988,0.00022807757,0.00003072745,0.00050302077],"genre_scores_gemma":[0.99499196,0.0041821874,0.00010341404,0.00006332293,0.00004759496,0.00025619278,0.00018721508,0.0000347538,0.00013334451],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.994761,0.0007091731,0.001232099,0.0009919823,0.0013502963,0.0009554654],"domain_scores_gemma":[0.9984547,0.00033693324,0.00011052934,0.0005166433,0.00008101291,0.0005001819],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0027349242,0.00037863702,0.000676966,0.00018377237,0.0004627308,0.000080798316,0.0003808051,0.00023216296,0.00063032797],"category_scores_gemma":[0.000023433397,0.0003388956,0.00016646813,0.0006340068,0.0012830014,0.0014085453,0.000008617656,0.00068155484,0.0000011019229],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003271404,0.00045060448,0.95167166,0.00035253636,0.000047098016,0.0001715826,0.043556966,0.00030891201,0.0003335561,0.00091786217,7.186665e-7,0.0018613628],"study_design_scores_gemma":[0.001796249,0.00006933125,0.98491126,0.00026287683,0.00007071376,4.1865923e-7,0.01021943,0.000038728725,0.00069568853,0.0012392354,0.00036175936,0.00033430415],"about_ca_topic_score_codex":0.089189425,"about_ca_topic_score_gemma":0.62966377,"teacher_disagreement_score":0.54047436,"about_ca_system_score_codex":0.00039392003,"about_ca_system_score_gemma":0.0003557922,"threshold_uncertainty_score":0.9999063},"labels":[],"label_agreement":null},{"id":"W3163643521","doi":"","title":"Trip Generation of Vulnerable Populations in Three Canadian Cities: Spatial Ordered Probit Approach","year":2009,"lang":"en","type":"article","venue":"Transportation Research Board 88th Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Geography; Probit model; Sample (material); Population; Demographic economics; Ordered probit; Probit; Socioeconomics; Multivariate probit model; Demography; Econometrics; Economics; Sociology","score_opus":0.1731496937212075,"score_gpt":0.4141250094945937,"score_spread":0.24097531577338618,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3163643521","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97746956,0.00024530292,0.0020165197,0.003128382,0.00020644565,0.0034518426,0.0005044383,0.00014249278,0.012835031],"genre_scores_gemma":[0.9933213,0.00013283269,0.0032973392,0.000076672506,0.00037775672,0.0003616883,0.0014019611,0.000051815634,0.000978622],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98830485,0.0019804176,0.0017982253,0.0011973892,0.0044293003,0.0022897955],"domain_scores_gemma":[0.99363273,0.00046063136,0.00027037077,0.0006292347,0.0039748135,0.0010321897],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.011819773,0.00039696472,0.0006893958,0.0026712087,0.0022904745,0.00023788384,0.0009791999,0.00058069587,0.0007078089],"category_scores_gemma":[0.0007661992,0.0004357155,0.00024675424,0.004892236,0.0012069246,0.0014547933,0.000005174039,0.0020826987,0.000024290575],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000754278,0.00097208784,0.8864565,0.00031177342,0.00004900594,0.00008290334,0.05570164,0.004668184,0.0014553803,0.0404808,0.0021219596,0.0069454955],"study_design_scores_gemma":[0.001581392,0.0003851689,0.9693764,0.0001521124,0.000026883592,6.0370645e-8,0.014252052,0.0010398121,0.0004554449,0.008449802,0.0038011654,0.00047970383],"about_ca_topic_score_codex":0.8203892,"about_ca_topic_score_gemma":0.9797986,"teacher_disagreement_score":0.15940942,"about_ca_system_score_codex":0.000677657,"about_ca_system_score_gemma":0.0036587005,"threshold_uncertainty_score":0.99980944},"labels":[],"label_agreement":null},{"id":"W3163750933","doi":"10.3389/ffutr.2021.646664","title":"Impact of COVID-19 Pandemic on Motorcycle Purchase in Dhaka, Bangladesh","year":2021,"lang":"en","type":"article","venue":"Frontiers in Future Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Purchasing; Pandemic; Coronavirus disease 2019 (COVID-19); Context (archaeology); Capital city; Public transport; Business; Logistic regression; Socioeconomics; Marketing; Geography; Transport engineering; Engineering; Medicine; Economics","score_opus":0.022561336237754755,"score_gpt":0.33138517163483344,"score_spread":0.3088238353970787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3163750933","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951593,0.0005612087,0.0020700686,0.00043018098,0.0006810839,0.00030065133,0.00011583113,0.000040993633,0.000640661],"genre_scores_gemma":[0.9982582,0.00022348523,0.00085519714,0.00010196112,0.00015789551,0.000018374845,0.0002771092,0.000010709959,0.00009706499],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99848413,0.00014615187,0.0004132298,0.00032904427,0.0003419986,0.00028546737],"domain_scores_gemma":[0.99944574,0.0000406449,0.00011495059,0.00017940594,0.000058601516,0.00016067096],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004963434,0.00013530265,0.00028886285,0.00019168848,0.00008358122,0.000014795329,0.00017067362,0.0002129673,0.00035361527],"category_scores_gemma":[0.000057192407,0.00013371922,0.00016533509,0.000827885,0.00013891484,0.00026498584,0.0000010697582,0.0002470522,0.000001161939],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019728416,0.00020909014,0.9769682,0.000044724573,0.000014476223,0.000060117054,0.018041888,0.00082491944,0.00010096847,0.0002871682,0.0006019462,0.002649165],"study_design_scores_gemma":[0.0010510208,0.000041708765,0.9875056,0.000027157139,0.00001537449,9.34044e-8,0.006821398,0.00003758952,0.000043941673,0.0022928836,0.0020222336,0.00014095801],"about_ca_topic_score_codex":0.004447479,"about_ca_topic_score_gemma":0.052774873,"teacher_disagreement_score":0.048327394,"about_ca_system_score_codex":0.00036421686,"about_ca_system_score_gemma":0.0006969461,"threshold_uncertainty_score":0.9645095},"labels":[],"label_agreement":null},{"id":"W3164024739","doi":"10.1177/0361198121999057","title":"Assessing Physical Activity Achievement by using Transit","year":2021,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Transit (satellite); TRIPS architecture; Physical activity; Transport engineering; Public transport; Metabolic equivalent; Urban transit; Energy expenditure; Active living; Environmental health; Engineering; Medicine; Physical medicine and rehabilitation","score_opus":0.18683432662014757,"score_gpt":0.47941458178581353,"score_spread":0.292580255165666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3164024739","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9884188,0.00023873059,0.00315565,0.006455193,0.0005299415,0.0006475381,0.00007102214,0.0000327367,0.00045039406],"genre_scores_gemma":[0.99741316,0.00033790004,0.0008691248,0.00004452817,0.0004072036,0.000020471289,0.000017705082,0.00004513168,0.0008447777],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98844886,0.0031478507,0.0009410066,0.0005672409,0.0056986576,0.0011963681],"domain_scores_gemma":[0.9932422,0.001018159,0.00043394355,0.00048307588,0.0042502386,0.00057238556],"candidate_categories":["sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.005879894,0.00026222604,0.0005578845,0.00040797604,0.002137769,0.0005260047,0.0011040048,0.00023532838,0.0004351573],"category_scores_gemma":[0.00020805543,0.00021649853,0.0006286764,0.0029868172,0.0013518811,0.0021929606,0.0000069407783,0.0026340084,0.000008229454],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010409233,0.00294569,0.8391658,0.00037191424,0.00033799178,0.00037704405,0.020324485,0.0006887084,0.09767552,0.0023861753,0.0037390813,0.030946666],"study_design_scores_gemma":[0.0013213834,0.00016589362,0.950945,0.0003041003,0.000119669014,1.6431567e-7,0.009906304,0.00016003668,0.015559074,0.0025390857,0.018677525,0.00030172156],"about_ca_topic_score_codex":0.028063297,"about_ca_topic_score_gemma":0.081341594,"teacher_disagreement_score":0.111779235,"about_ca_system_score_codex":0.00054822396,"about_ca_system_score_gemma":0.0026034985,"threshold_uncertainty_score":0.9996669},"labels":[],"label_agreement":null},{"id":"W3164074420","doi":"10.82308/32376","title":"Exploring the evolution of travel behavior and its relationship with the built environment: a Montreal case study","year":2015,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Concordia University; McGill University","keywords":"Built environment; Geography; Sociology; Advertising; Engineering; Business; Civil engineering","score_opus":0.10825474017584567,"score_gpt":0.279446544516004,"score_spread":0.1711918043401583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3164074420","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99490315,0.00018541326,9.1278224e-7,0.00007832015,0.00008495745,0.0010391164,0.00007548023,0.000041914212,0.003590719],"genre_scores_gemma":[0.9993662,0.000012916387,0.00002746818,0.00001226066,0.000029016346,0.00021111537,0.0000021759556,0.000020229278,0.0003185725],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99773663,0.0005860255,0.00032024615,0.00038088235,0.0006652948,0.00031092082],"domain_scores_gemma":[0.9988571,0.0002689014,0.00018048187,0.00038332137,0.00010942497,0.00020081681],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0021565517,0.00018641484,0.00019788336,0.00006055913,0.0019945656,0.000048892176,0.0003331045,0.00007410432,0.000016408278],"category_scores_gemma":[0.00018601249,0.0001158075,0.000060238704,0.0003677941,0.0003053791,0.0011115187,0.00006360846,0.00042430524,0.000008164564],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028419774,0.001589512,0.9157607,0.000033109234,0.00013861981,0.0006065285,0.008534441,0.00011012574,0.00079404993,0.04106852,0.0000013241117,0.031078855],"study_design_scores_gemma":[0.0010541655,0.00024416376,0.9230028,0.000018297547,0.00033317698,0.00003579041,0.07227417,0.000011672534,0.00035515812,0.0019851371,0.00042781455,0.00025767877],"about_ca_topic_score_codex":0.02915737,"about_ca_topic_score_gemma":0.063642845,"teacher_disagreement_score":0.063739724,"about_ca_system_score_codex":0.0003402982,"about_ca_system_score_gemma":0.000051733175,"threshold_uncertainty_score":0.9993047},"labels":[],"label_agreement":null},{"id":"W3164615845","doi":"10.1177/03611981221082573","title":"Understanding Factors Associated with Commuter Rail Ridership: A Demand Elasticity Study of the GO Transit Rail Network","year":2022,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Transport engineering; Price elasticity of demand; Context (archaeology); Public transport; Panel data; Population; Business; Econometrics; Engineering; Economics; Geography","score_opus":0.3016518553774418,"score_gpt":0.396327923461447,"score_spread":0.0946760680840052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3164615845","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9938091,0.00010229325,0.00078385347,0.0023740523,0.00051067903,0.0020316746,0.00011301596,0.000029127312,0.00024617498],"genre_scores_gemma":[0.9991268,0.000058622874,0.000030284522,0.000032714386,0.00009443596,0.00006990698,0.0000178528,0.000046525736,0.00052288536],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98285985,0.0066842455,0.0014945214,0.0004525155,0.0073755444,0.0011333372],"domain_scores_gemma":[0.9936649,0.002665474,0.00089806144,0.00054733566,0.0019201941,0.00030402475],"candidate_categories":["sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.011689078,0.0002841657,0.0006418301,0.00048354195,0.004769532,0.00015384203,0.002171252,0.00015241164,0.0008089747],"category_scores_gemma":[0.0002539263,0.0001845593,0.00048290653,0.0046420004,0.0016676044,0.0006571539,0.000016945989,0.0034903453,8.194797e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014560497,0.00096091354,0.92903733,0.000057711553,0.00034934306,0.000026400008,0.055531476,0.010491273,0.00008850834,0.00068860024,0.0012256234,0.000086764485],"study_design_scores_gemma":[0.0024734351,0.0010897643,0.91868293,0.00017948724,0.00017944914,4.711767e-8,0.07312837,0.00003718553,0.0000689755,0.0025799097,0.0013893829,0.00019106155],"about_ca_topic_score_codex":0.021252014,"about_ca_topic_score_gemma":0.46893853,"teacher_disagreement_score":0.44768652,"about_ca_system_score_codex":0.0008871128,"about_ca_system_score_gemma":0.0012485243,"threshold_uncertainty_score":0.9988086},"labels":[],"label_agreement":null},{"id":"W3164632526","doi":"10.3917/flux1.123.0030","title":"Mesure du potentiel de marche et de l’accessibilité dans les espaces urbains pour les piétons âgés","year":2021,"lang":"fr","type":"article","venue":"Flux","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Political science; Humanities; Art","score_opus":0.038629795805099156,"score_gpt":0.3240640515606158,"score_spread":0.2854342557555166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3164632526","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8753785,0.008237861,0.0042291326,0.043346956,0.00080718927,0.00021839475,0.00021786473,0.00014317613,0.06742096],"genre_scores_gemma":[0.82030547,0.00046644572,0.002281417,0.0005388031,0.0008565672,0.000020945043,0.00006381107,0.00003915403,0.1754274],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9954866,0.0015408911,0.00052025047,0.0007933285,0.0005658365,0.0010930992],"domain_scores_gemma":[0.9980732,0.00047450067,0.00019168883,0.00055220764,0.00027077392,0.00043760194],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0022055712,0.00037761498,0.00045877838,0.00006632876,0.0009857304,0.00033606493,0.0008050478,0.00055313215,0.0057233693],"category_scores_gemma":[0.000652439,0.0003824818,0.00044414587,0.00079300563,0.00096171774,0.0006404623,0.00014484824,0.00072430546,0.00008551381],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024837029,0.0006258429,0.9366865,0.00019049547,0.000098468416,0.0002241507,0.024936607,0.00005802855,0.0031552946,0.008899971,0.01821731,0.006882459],"study_design_scores_gemma":[0.00044678556,0.000033329416,0.83112097,0.00016139174,0.0001882552,0.000009261885,0.014206998,0.000264027,0.0035021,0.011180628,0.1384535,0.0004327361],"about_ca_topic_score_codex":0.015984084,"about_ca_topic_score_gemma":0.054451108,"teacher_disagreement_score":0.12023619,"about_ca_system_score_codex":0.00046805,"about_ca_system_score_gemma":0.0029911138,"threshold_uncertainty_score":0.99986273},"labels":[],"label_agreement":null},{"id":"W3164852242","doi":"10.1007/978-981-15-7525-9_88-1","title":"Environmental Impact of Free-Floating Bike Sharing: From Life Cycle Perspective","year":2021,"lang":"en","type":"book-chapter","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Beijing; Greenhouse gas; Business; Government (linguistics); Waste management; Environmental economics; Environmental science; Engineering; China; Geography; Economics","score_opus":0.02609658087096212,"score_gpt":0.28941089563490985,"score_spread":0.26331431476394773,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3164852242","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2305021,0.0010323349,0.000019032419,0.000082046914,0.00011654336,0.00017328416,0.00049834163,0.000047359412,0.76752895],"genre_scores_gemma":[0.84564674,0.00009806986,0.00018072245,0.000032263226,0.00044055094,0.0000011762233,0.000082269544,0.00002757344,0.15349063],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983158,0.000019918385,0.00035551083,0.0005617991,0.00050728436,0.0002396999],"domain_scores_gemma":[0.9989574,0.000088536755,0.0002494707,0.00045984672,0.00004519564,0.00019957173],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00017544015,0.00024262714,0.00043666182,0.000053573316,0.00020423923,0.000058503716,0.0005276586,0.00031494643,0.04474042],"category_scores_gemma":[0.000060962477,0.00022230108,0.0005158238,0.00003185917,0.00039341665,0.00019243828,0.00013463493,0.00030165847,0.000036138066],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000103886036,0.00044238285,0.7201512,0.000043581476,0.0017843177,0.000084434636,0.047401994,0.00002764153,0.0011922626,0.22398835,0.0016937961,0.0030861513],"study_design_scores_gemma":[0.0015900609,0.00021921123,0.6287786,0.0004515706,0.0006770097,3.320266e-7,0.029536925,0.000093483824,0.00048992346,0.32618254,0.009713928,0.0022664103],"about_ca_topic_score_codex":0.056299914,"about_ca_topic_score_gemma":0.0085356,"teacher_disagreement_score":0.61514467,"about_ca_system_score_codex":0.0004617303,"about_ca_system_score_gemma":0.00033790758,"threshold_uncertainty_score":0.9561328},"labels":[],"label_agreement":null},{"id":"W3165014831","doi":"10.31979/mti.2021.2112","title":"Cycling Past 50: A Closer Look into the World of Older Cyclists","year":2021,"lang":"en","type":"report","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Florida State University","keywords":"Cycling; Outreach; Journaling file system; Psychology; Quarter (Canadian coin); Applied psychology; Gerontology; Geography; Computer science; Medicine; Political science","score_opus":0.03722362442999408,"score_gpt":0.3565510581015295,"score_spread":0.3193274336715354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3165014831","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09761993,0.003453514,0.00008819177,0.001523363,0.0018516107,0.0005010288,0.000013721412,0.00009243891,0.8948562],"genre_scores_gemma":[0.744314,0.0007099398,0.00027146586,0.00017271661,0.0019223433,0.000025964426,0.000067011984,0.000029333767,0.25248724],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9965743,0.0001821375,0.00077656447,0.00054983725,0.0015214841,0.00039570825],"domain_scores_gemma":[0.9979049,0.00029859564,0.00044676094,0.00064501865,0.0005830195,0.00012170173],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0022050566,0.00025517753,0.0005911806,0.00010613685,0.0004224031,0.00013372579,0.00072113157,0.00032348992,0.005267066],"category_scores_gemma":[0.00018588951,0.00016896377,0.00045873402,0.00065595086,0.0006373958,0.0001645772,0.000094867784,0.0005496058,0.000017596878],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000114793775,0.00025463296,0.9211609,0.00046776957,0.00022226736,0.000042889325,0.0145817865,0.0000017433119,0.0000391537,0.0010607778,0.049592752,0.012563867],"study_design_scores_gemma":[0.00012280149,0.0000049537957,0.25437868,0.00040316218,0.00017849584,3.9679236e-7,0.0032278076,8.228616e-7,0.00016440476,0.0011490126,0.7400039,0.00036560182],"about_ca_topic_score_codex":0.04727493,"about_ca_topic_score_gemma":0.33960938,"teacher_disagreement_score":0.6904111,"about_ca_system_score_codex":0.00020094354,"about_ca_system_score_gemma":0.0020675214,"threshold_uncertainty_score":0.99564224},"labels":[],"label_agreement":null},{"id":"W3165143681","doi":"10.1016/j.ypmed.2021.106663","title":"Associations between neighbourhood built characteristics and sedentary behaviours among Canadian men and women: findings from Alberta's Tomorrow Project","year":2021,"lang":"en","type":"article","venue":"Preventive Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Alberta Health Services; University of Calgary","funders":"Health Canada; Cumming School of Medicine, University of Calgary; Canadian Institutes of Health Research; Alberta Cancer Foundation; Partenariat Canadien Contre Le Cancer; Alberta Health Services","keywords":"Medicine; Neighbourhood (mathematics); Physical activity; Demography; Gerontology; Environmental health; Physical therapy","score_opus":0.020842798610888835,"score_gpt":0.2964285311713491,"score_spread":0.27558573256046026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3165143681","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99178624,0.00019990094,0.000010521076,0.0026768746,0.00015854798,0.00030586112,0.0005409543,0.000017925795,0.004303166],"genre_scores_gemma":[0.99612015,0.000065817156,0.000031828717,0.000148982,0.0003585172,0.000018845818,0.00068764033,0.000010701588,0.0025575156],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985646,0.00016475517,0.00027189328,0.00034538106,0.00027628816,0.00037708564],"domain_scores_gemma":[0.99902636,0.00027184832,0.000110190165,0.00012136947,0.0001040655,0.00036616722],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005322398,0.00013550324,0.00034552673,0.00008111307,0.0004704382,0.00006316863,0.00012424556,0.00010534854,0.00089321035],"category_scores_gemma":[0.00038325897,0.00012905913,0.000030249488,0.00024994602,0.00035706404,0.0002495623,0.000034066845,0.00019017817,0.0000012823074],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000023182497,0.000022756965,0.96108556,0.00000465235,0.00007118999,0.000017653349,0.03693312,2.442519e-9,0.000021499127,0.000033502078,0.00038603906,0.0014216843],"study_design_scores_gemma":[0.00039818173,0.000030214473,0.99144036,0.00006995376,0.00020278171,1.4528572e-7,0.0063822293,0.0000016533102,0.000041518164,0.00081323646,0.00048326823,0.0001364608],"about_ca_topic_score_codex":0.83187693,"about_ca_topic_score_gemma":0.8354053,"teacher_disagreement_score":0.030550892,"about_ca_system_score_codex":0.00027743095,"about_ca_system_score_gemma":0.00041232695,"threshold_uncertainty_score":0.9780027},"labels":[],"label_agreement":null},{"id":"W3165462503","doi":"10.1093/annweh/wxab035","title":"Examining the Relationship Between Occupational Physical Activity and Hypertension Status: Evidence from the Ghana WHO Study on Global Ageing and Adult Health","year":2021,"lang":"en","type":"article","venue":"Annals of Work Exposures and Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; University of Toronto","funders":"","keywords":"Developing country; Livelihood; Environmental health; Odds ratio; Medicine; Gerontology; Odds; Work (physics); Physical activity; Geography; Logistic regression; Economic growth; Physical therapy; Agriculture; Economics","score_opus":0.3831373679844829,"score_gpt":0.45711259143074323,"score_spread":0.07397522344626034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3165462503","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9659329,0.0038971312,0.00002416061,0.02976883,0.000030022295,0.00027324917,0.000039516217,0.0000103451775,0.000023847602],"genre_scores_gemma":[0.9978513,0.00072764856,0.00003320443,0.0011702025,0.0001950249,0.000003884558,0.0000071636473,0.0000033116476,0.0000082374945],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982163,0.0006854919,0.00020873218,0.00028721616,0.00035961464,0.00024268006],"domain_scores_gemma":[0.9973894,0.0020081904,0.0001865127,0.00016492554,0.000104698476,0.00014628812],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001396224,0.00009164051,0.00025009876,0.000010310777,0.0012569051,0.000085599204,0.00008121956,0.000036157573,0.0000022452643],"category_scores_gemma":[0.00043042176,0.000057959627,0.000026043685,0.00024979518,0.0002035952,0.00018657395,0.00004005595,0.00017984684,1.830368e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004565799,0.000074800315,0.9590844,0.000015160476,0.000013617151,0.0000010101327,0.016064005,8.4313035e-7,3.6451902e-7,0.00032895748,0.00033275847,0.024038404],"study_design_scores_gemma":[0.00014163116,0.00021661389,0.9880153,0.00023977368,0.000010198072,6.201349e-8,0.010132955,0.0000044292215,0.000002088487,0.0011489524,0.000034895413,0.000053118143],"about_ca_topic_score_codex":0.025082784,"about_ca_topic_score_gemma":0.015324981,"teacher_disagreement_score":0.031918425,"about_ca_system_score_codex":0.000021074306,"about_ca_system_score_gemma":0.00033269622,"threshold_uncertainty_score":0.98140925},"labels":[],"label_agreement":null},{"id":"W3165858914","doi":"10.4018/978-1-7998-7939-8.ch009","title":"Design and Infrastructure in an Active Economy","year":2021,"lang":"en","type":"book-chapter","venue":"Advances in finance, accounting, and economics book series","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"","keywords":"Critical infrastructure; Focus (optics); Infrastructure planning; Business; Environmental planning; Engineering; Computer science; Transport engineering; Geography; Computer security","score_opus":0.009180083671662018,"score_gpt":0.23595961535648796,"score_spread":0.22677953168482595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3165858914","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23011857,0.046681177,0.000069308546,0.00019215887,0.0006534544,0.0008932327,0.00006514788,0.000055023316,0.72127193],"genre_scores_gemma":[0.24119349,0.5913674,0.0051678433,0.0011503273,0.0010647351,0.00015044687,0.00017781183,0.00017667889,0.15955123],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983162,0.00002696926,0.0004891578,0.00074436667,0.000052544943,0.00037075707],"domain_scores_gemma":[0.99919236,0.00009068378,0.00037818024,0.00022442671,0.000054180797,0.00006018531],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00032371376,0.00034622187,0.0006239432,0.0001559923,0.000294049,0.0002331431,0.00023853646,0.00039270334,0.00017740385],"category_scores_gemma":[0.000015368942,0.00040968452,0.000046548503,0.000039568033,0.00086295715,0.0063444003,0.00006464281,0.00040445518,0.0000018975118],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037837698,0.000047537593,0.15857495,0.00031608343,0.000045969293,0.00005895618,0.0131311165,0.000901923,0.0000020507246,0.7316563,0.000110306944,0.0947764],"study_design_scores_gemma":[0.000290639,0.000036673147,0.010080295,0.00014122264,0.000015460048,0.0000013265815,0.0007677627,0.00003445734,0.000016232485,0.19750577,0.79059947,0.0005107193],"about_ca_topic_score_codex":0.00011583306,"about_ca_topic_score_gemma":0.023423173,"teacher_disagreement_score":0.79048914,"about_ca_system_score_codex":0.00014969554,"about_ca_system_score_gemma":0.00032849624,"threshold_uncertainty_score":0.9998355},"labels":[],"label_agreement":null},{"id":"W3165884229","doi":"10.1016/j.trf.2021.05.002","title":"The fast and the female: Gender differences in wellbeing and wage consequences of commute impedance","year":2021,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Extant taxon; Wage; Duration (music); Demographic economics; Census; Economics; Labour economics; Demography; Sociology; Population","score_opus":0.12129969535499384,"score_gpt":0.42330352868678056,"score_spread":0.3020038333317867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3165884229","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9914399,0.0041880626,0.000010990347,0.0035672686,0.00008582711,0.0002768355,0.000018958228,0.000011884533,0.00040027284],"genre_scores_gemma":[0.99256617,0.007096696,0.000028780527,0.00005298943,0.0000209918,0.000038876846,0.0000091621005,0.000003854631,0.00018247051],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979517,0.0008007992,0.00032842375,0.00029926145,0.00030233516,0.00031750833],"domain_scores_gemma":[0.9987348,0.0008175261,0.000068829206,0.00015611126,0.00014471242,0.00007803318],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002600976,0.00008921978,0.00020456563,0.000047048456,0.0008676221,0.000066272005,0.00018752363,0.00010790408,0.000039863447],"category_scores_gemma":[0.000058354108,0.00005616194,0.000029157925,0.0003544633,0.005741931,0.00012242256,0.0000064640703,0.000391414,3.8107763e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012816678,0.000067747584,0.9701403,0.000019425725,0.000013234394,0.000023782772,0.01668856,0.0000011184834,0.00010862794,0.0055997637,0.000027164546,0.0071821194],"study_design_scores_gemma":[0.00084194064,0.000024715526,0.9858409,0.00002784181,0.000018491008,0.000001036781,0.011629112,0.0000105398085,0.000047166846,0.0012138194,0.00027948667,0.00006490898],"about_ca_topic_score_codex":0.0008443855,"about_ca_topic_score_gemma":0.031920224,"teacher_disagreement_score":0.031075839,"about_ca_system_score_codex":0.000005109429,"about_ca_system_score_gemma":0.00011747304,"threshold_uncertainty_score":0.99696386},"labels":[],"label_agreement":null},{"id":"W3166163161","doi":"10.1155/2021/9952306","title":"Analyzing the Coordination Relationship between Urban Built Environment and Traffic Level","year":2021,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Transport engineering; Built environment; Mode (computer interface); Index (typography); Corporate governance; Business; Computer science; Engineering; Civil engineering","score_opus":0.04550404072840539,"score_gpt":0.3081636196453628,"score_spread":0.26265957891695746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3166163161","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9912111,0.0010982744,0.0050603347,0.0023449357,0.0001163749,0.000089648755,0.000012226114,0.000008642287,0.000058467034],"genre_scores_gemma":[0.9978578,0.00013840786,0.0016032283,0.000016341648,0.00019182362,0.0000016884858,0.000027917302,0.0000062228232,0.00015653422],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989152,0.00010244017,0.00043330426,0.00011994511,0.00030673193,0.00012238645],"domain_scores_gemma":[0.9991099,0.00027881603,0.0003236254,0.000079766185,0.00013174783,0.00007610384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006270168,0.00007356216,0.00014671679,0.000053619933,0.00037307182,0.000039204355,0.000095706375,0.000058947004,0.000035355126],"category_scores_gemma":[0.000089734,0.000059609723,0.00008617291,0.00023376461,0.00011956689,0.00063531625,0.0000010493168,0.00020236372,8.05492e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017042199,0.000028086406,0.97923654,0.000011338288,0.000019019099,0.0000075088133,0.008073837,0.0023502107,0.00021911555,0.00070363394,0.000019451296,0.009314215],"study_design_scores_gemma":[0.00036721205,0.00002287682,0.9926786,0.000025909096,0.000107177206,4.3102764e-7,0.0028125597,0.0000036846486,0.00012818698,0.0015179558,0.0022668678,0.000068566565],"about_ca_topic_score_codex":0.000022544997,"about_ca_topic_score_gemma":0.0008623451,"teacher_disagreement_score":0.01344203,"about_ca_system_score_codex":0.00006130033,"about_ca_system_score_gemma":0.00011108877,"threshold_uncertainty_score":0.28694046},"labels":[],"label_agreement":null},{"id":"W3166165522","doi":"10.1016/j.trd.2021.102915","title":"Do new urban and suburban cycling facilities encourage more bicycling?","year":2021,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto; Toronto Metropolitan University","funders":"Social Sciences and Humanities Research Council of Canada; University of Toronto","keywords":"Cycling; Odds; Transport engineering; Sustainable transport; Poison control; Built environment; Engineering; Geography; Business; Environmental health; Civil engineering; Sustainability; Logistic regression; Medicine","score_opus":0.06940253400068173,"score_gpt":0.3469705113852217,"score_spread":0.27756797738454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3166165522","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9907223,0.0033711088,0.00032877148,0.0024336376,0.000103522856,0.00043262783,0.00017323549,0.00007945533,0.0023553125],"genre_scores_gemma":[0.9853072,0.005257376,0.00037275863,0.00006409611,0.00022852467,0.000042357973,0.00032042124,0.000025363512,0.00838188],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9964958,0.00015100703,0.0005650926,0.00081280485,0.0012062885,0.00076904113],"domain_scores_gemma":[0.99871653,0.00016214962,0.0000645557,0.00031754945,0.00006974397,0.00066946703],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012316218,0.000253493,0.00034875658,0.00012555266,0.0009827922,0.00011559392,0.00018464788,0.00020514606,0.0020419194],"category_scores_gemma":[0.000019400888,0.00026148726,0.00011936997,0.00030646287,0.001123789,0.0004877,0.0000066869925,0.000482928,0.000015863683],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006352739,0.00013474465,0.9536969,0.00012228118,0.00004629619,0.00015806317,0.039930075,0.000058414145,0.00031817763,0.0018821795,0.00033461748,0.0032547023],"study_design_scores_gemma":[0.0006832546,0.00004471041,0.78235793,0.000066867564,0.00005475532,3.4128138e-7,0.013169542,0.0000094446095,0.00049409724,0.002151158,0.2006423,0.00032558775],"about_ca_topic_score_codex":0.0041581285,"about_ca_topic_score_gemma":0.008377794,"teacher_disagreement_score":0.20030768,"about_ca_system_score_codex":0.00006600169,"about_ca_system_score_gemma":0.00028099053,"threshold_uncertainty_score":0.9999837},"labels":[],"label_agreement":null},{"id":"W3166729539","doi":"10.1080/23800127.2021.1935060","title":"Construction work and the mobility imperative: changing rhythms along uncertain paths","year":2021,"lang":"en","type":"article","venue":"Applied Mobilities","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Mobilities; Negotiation; Apprenticeship; Sociology; Work (physics); Economic geography; Geography; Social science; Engineering","score_opus":0.013440684459660705,"score_gpt":0.26116072095091325,"score_spread":0.24772003649125254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3166729539","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.984275,0.0008168134,0.0003385486,0.0011024933,0.00024139805,0.0005112279,0.0000101188825,0.00009537143,0.012609075],"genre_scores_gemma":[0.9982026,0.00009815832,0.00042569375,0.00016988903,0.00020932993,0.00018360573,0.000011103876,0.000007907173,0.00069171324],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.9985527,0.00019524785,0.0002596711,0.00038074405,0.00025409157,0.0003575692],"domain_scores_gemma":[0.99896604,0.0005114827,0.00006651524,0.00028209222,0.00010194469,0.00007190234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001334817,0.00013642234,0.00024168946,0.000028112938,0.0010241278,0.0001583107,0.000113708535,0.00009377915,0.00025350798],"category_scores_gemma":[0.00011503718,0.000101071266,0.00007509814,0.0004248811,0.0023318718,0.00016854084,0.00005265295,0.00017665281,0.0000034299053],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020453644,0.00008279828,0.12815799,0.00009430915,0.000063623396,0.000009876428,0.12539381,0.000027460892,0.000115715746,0.71245587,0.000075863034,0.03331813],"study_design_scores_gemma":[0.003031346,0.00002488332,0.11796047,0.000070207214,0.00012983364,0.0000047044996,0.6143828,0.0000426262,0.003877573,0.24624735,0.013398607,0.00082958915],"about_ca_topic_score_codex":0.00083155575,"about_ca_topic_score_gemma":0.0015111084,"teacher_disagreement_score":0.48898903,"about_ca_system_score_codex":0.00006975294,"about_ca_system_score_gemma":0.00019541435,"threshold_uncertainty_score":0.8591879},"labels":[],"label_agreement":null},{"id":"W3166737104","doi":"10.7939/r3-5yk5-3b65","title":"Does Living with Parkinson's Disease Affect Life-Space Mobility? A Multiple-Methods Study","year":2020,"lang":"en","type":"article","venue":"University of Alberta Library","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Alberta","keywords":"Affect (linguistics); Space (punctuation); Gerontology; Psychology; Medicine; Physical medicine and rehabilitation; Computer science; Communication","score_opus":0.014232435245494389,"score_gpt":0.24922647338386295,"score_spread":0.23499403813836856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3166737104","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9888929,0.00005001997,0.0004487509,0.0050688623,0.000054499164,0.0005648156,0.000007943177,0.000118399614,0.0047937804],"genre_scores_gemma":[0.9943166,0.000016010576,0.003206863,0.00015130831,0.00007697909,5.7484567e-7,0.000005439444,0.000011982492,0.002214242],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983387,0.000630695,0.00010858696,0.00044358816,0.0002460016,0.00023239998],"domain_scores_gemma":[0.99793595,0.0011141474,0.000107018146,0.00026048374,0.000025980793,0.0005563901],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00024301017,0.00013904662,0.00025839522,0.000044598833,0.0003806735,0.000046424124,0.0005359264,0.000055415727,0.0010417367],"category_scores_gemma":[0.0003239053,0.000106513464,0.00011409931,0.00043111475,0.00040654244,0.0014142119,0.00013768299,0.0001405548,0.000006879265],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003041294,0.00038877528,0.93605095,0.000055686174,0.000050454026,0.00001951981,0.062404174,0.000012833081,0.000004898858,0.00012709646,0.00029612813,0.0002853734],"study_design_scores_gemma":[0.00047374272,0.00014122794,0.93079805,0.00004315493,0.00009576295,1.0363072e-8,0.04592433,0.00018146711,0.000017577553,0.000042495136,0.022083534,0.00019863433],"about_ca_topic_score_codex":0.008350634,"about_ca_topic_score_gemma":0.0078086383,"teacher_disagreement_score":0.021787407,"about_ca_system_score_codex":0.000014946191,"about_ca_system_score_gemma":0.0003368243,"threshold_uncertainty_score":0.99987143},"labels":[],"label_agreement":null},{"id":"W3166766853","doi":"10.1016/j.jth.2021.101112","title":"The uneven impacts of avoiding public transit on riders’ access to healthcare during COVID-19","year":2021,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":42,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; Public Health Ontario; University of Toronto","funders":"Ontario Research Foundation","keywords":"Public transport; Health care; Pandemic; Public health; Transit (satellite); Medicine; Pharmacy; Business; Coronavirus disease 2019 (COVID-19); Family medicine; Political science; Transport engineering; Nursing; Engineering","score_opus":0.09930205236283353,"score_gpt":0.4096832668634944,"score_spread":0.31038121450066086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3166766853","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76250243,0.0014210148,0.00088145514,0.23416485,0.00048113646,0.0002966016,0.000039137194,0.000021618502,0.00019176088],"genre_scores_gemma":[0.99318635,0.0017397015,0.0001166452,0.0045471773,0.0003206216,0.000003157705,0.00000596461,0.000019264486,0.00006113319],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9958339,0.0005785144,0.0013707002,0.00028356287,0.001158751,0.0007745985],"domain_scores_gemma":[0.9964197,0.00035841172,0.000784762,0.00031164664,0.0004943456,0.0016310839],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0049748584,0.0001833006,0.0006091591,0.00019808426,0.0020694283,0.00012334953,0.00080496777,0.00011455836,0.000108766675],"category_scores_gemma":[0.0003907464,0.00013968367,0.00036476794,0.0010472399,0.0001840661,0.0007017576,0.000009737423,0.00070786866,0.0000011430623],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006676775,0.0003810957,0.94165206,0.0010278295,0.00011760979,0.0002530698,0.048671447,0.0004035016,0.0002820505,0.002270008,0.00074271404,0.0035309223],"study_design_scores_gemma":[0.0012068871,0.00034005835,0.95810926,0.00042505976,0.000041800515,0.000015798842,0.011916127,0.0000015051925,0.0009138059,0.0012031615,0.025588408,0.00023812639],"about_ca_topic_score_codex":0.0056269853,"about_ca_topic_score_gemma":0.09950931,"teacher_disagreement_score":0.23068391,"about_ca_system_score_codex":0.00068701693,"about_ca_system_score_gemma":0.008847255,"threshold_uncertainty_score":0.9992297},"labels":[],"label_agreement":null},{"id":"W3167824713","doi":"10.32920/ryerson.14651670.v1","title":"Lessons For Toronto From Melbourne’s City Centre Revitalization","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Downtown; Public space; City centre; Pedestrian; Space (punctuation); Conversation; Sociology; Media studies; Geography; Engineering; Architectural engineering; Archaeology","score_opus":0.06547831986399015,"score_gpt":0.3669195389887998,"score_spread":0.30144121912480965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3167824713","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7360789,0.008459277,0.09707869,0.01998866,0.0057076868,0.0030862628,0.0012955016,0.0006428287,0.12766217],"genre_scores_gemma":[0.985048,0.000426077,0.0036131481,0.00017342347,0.0007988182,0.000034065193,0.001414152,0.000014768677,0.008477559],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99840003,0.00011402776,0.00030760161,0.00058970624,0.0003151173,0.00027353296],"domain_scores_gemma":[0.9989507,0.00009581825,0.0001617973,0.00037406443,0.0002868593,0.000130733],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00044331825,0.00016706785,0.00032561735,0.0000101982605,0.0003304892,0.00031652435,0.00039537682,0.00039026272,0.0072115064],"category_scores_gemma":[0.00016234363,0.0001636194,0.00027209558,0.00005464095,0.000083309365,0.0003198348,0.0001109816,0.00013783197,0.0000026519401],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008461726,0.0009769846,0.751923,0.00074408756,0.0005319678,0.000013155515,0.106758855,0.000045589568,0.00013359648,0.06514018,0.036761273,0.036886677],"study_design_scores_gemma":[0.0014234679,0.000024582536,0.48096102,0.0011640716,0.000991493,4.933993e-8,0.07061123,0.0005334799,0.0016608346,0.13382898,0.30609354,0.0027072374],"about_ca_topic_score_codex":0.16110493,"about_ca_topic_score_gemma":0.7230164,"teacher_disagreement_score":0.56191146,"about_ca_system_score_codex":0.0003331741,"about_ca_system_score_gemma":0.00054194656,"threshold_uncertainty_score":0.99369603},"labels":[],"label_agreement":null},{"id":"W3168809040","doi":"10.3390/ijerph18126268","title":"Environmental Preferences and Concerns of Recreational Road Runners","year":2021,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Recreation; Popularity; Environmental health; Affect (linguistics); Mental health; Psychology; Health benefits; Athletes; Geography; Gerontology; Medicine; Social psychology; Physical therapy; Political science","score_opus":0.12531990506118662,"score_gpt":0.4254717255319258,"score_spread":0.3001518204707392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3168809040","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9876275,0.0035126284,0.000027778728,0.006912428,0.00012320686,0.000069835034,0.000109019704,0.000001760472,0.0016158575],"genre_scores_gemma":[0.98544055,0.013775219,0.00018426092,0.00010337649,0.00020286506,0.0000014609278,0.000024226047,0.0000036092454,0.00026444384],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976529,0.0003124733,0.00037167955,0.00014668773,0.0012731104,0.00024314415],"domain_scores_gemma":[0.9991142,0.00018911331,0.0001917897,0.000056367717,0.000069498135,0.00037898892],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0018573524,0.000058999067,0.00014417896,0.000120120705,0.00020421474,0.00008634155,0.00022565645,0.000046713725,0.0012241224],"category_scores_gemma":[0.00014982172,0.000053124288,0.00003896277,0.00006765053,0.0009302088,0.00045536328,0.000071849056,0.00023418145,0.0000016993241],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000068099595,0.0006447531,0.74125934,0.000011541278,0.000092760325,0.000023940678,0.004725266,4.924995e-7,0.00094630587,0.0019763892,0.00017040283,0.2500807],"study_design_scores_gemma":[0.0005606843,0.0002491323,0.9496523,0.000043258566,0.0000026325522,0.000013098039,0.014579858,0.000005974561,0.0001790447,0.0032165607,0.03143232,0.00006511799],"about_ca_topic_score_codex":0.0005162692,"about_ca_topic_score_gemma":0.00033224886,"teacher_disagreement_score":0.2500156,"about_ca_system_score_codex":0.0002502317,"about_ca_system_score_gemma":0.0007116711,"threshold_uncertainty_score":0.9996889},"labels":[],"label_agreement":null},{"id":"W3170185507","doi":"10.3390/futuretransp1010007","title":"Relationship between Cycling Infrastructure and Transportation Cycling in a Small Urban Area","year":2021,"lang":"en","type":"article","venue":"Future Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Lethbridge","funders":"University of Lethbridge","keywords":"Cycling; Transport engineering; Boulevard; Poison control; Transport infrastructure; Geography; Engineering; Civil engineering; Environmental health; Medicine","score_opus":0.02926569562093942,"score_gpt":0.28469631308348287,"score_spread":0.2554306174625435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3170185507","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951444,0.0005192704,0.0020878075,0.0009711447,0.0002997695,0.00028252884,0.00009993334,0.00010764059,0.0004874719],"genre_scores_gemma":[0.9958978,0.00006304906,0.00182693,0.00007498655,0.0006146563,0.000017270111,0.0013827881,0.00001968545,0.00010278364],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982419,0.0001139564,0.00057664025,0.00046938242,0.0002770981,0.00032101566],"domain_scores_gemma":[0.9992147,0.00020747594,0.00015558297,0.00015570948,0.0001208783,0.000145619],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004220559,0.0001909783,0.00027716867,0.0001305638,0.00036779285,0.00007225228,0.00011787937,0.0003358735,0.000102972044],"category_scores_gemma":[0.000053285432,0.00020859975,0.000095482435,0.00075702684,0.00010806372,0.00053495733,8.6596776e-7,0.00042850923,0.0000016172303],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021102673,0.000024077368,0.9670459,0.00006923643,0.000008260656,0.000027337508,0.027483517,0.00008777193,0.00009306046,0.0036287915,0.000018409624,0.0014925023],"study_design_scores_gemma":[0.0005246385,0.000009482033,0.985796,0.00006254257,0.00008117323,1.1905456e-7,0.005345753,0.00000909054,0.0001422051,0.006419277,0.0013837497,0.0002259826],"about_ca_topic_score_codex":0.00067331805,"about_ca_topic_score_gemma":0.07926322,"teacher_disagreement_score":0.0785899,"about_ca_system_score_codex":0.000067342524,"about_ca_system_score_gemma":0.00021009562,"threshold_uncertainty_score":0.93753785},"labels":[],"label_agreement":null},{"id":"W3170385795","doi":"10.1038/s42949-021-00035-9","title":"Author Correction: Urban access across the globe: an international comparison of different transport modes","year":2021,"lang":"en","type":"article","venue":"npj Urban Sustainability","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University; Polytechnique Montréal","funders":"","keywords":"Globe; Regional science; Business; Transport engineering; Economic geography; Geography; Engineering; Psychology","score_opus":0.04075351322064162,"score_gpt":0.40351243197562336,"score_spread":0.36275891875498173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3170385795","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9879004,0.00015438256,0.0010757565,0.0031632357,0.0016001711,0.00056562194,0.00007136356,0.00013501436,0.0053340937],"genre_scores_gemma":[0.9949134,0.0000060449606,0.000026531787,0.00006246572,0.0005352906,0.00005036082,0.00008738051,0.000015372212,0.00430314],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99643517,0.00063017465,0.0007450343,0.000688957,0.0009246071,0.0005760808],"domain_scores_gemma":[0.9968963,0.0002550323,0.00026127405,0.0008400238,0.0015213768,0.00022597078],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015164136,0.00024359509,0.0004633906,0.00003724192,0.0010756506,0.00023709108,0.001292479,0.00021259475,0.00067908823],"category_scores_gemma":[0.00060836587,0.00019105717,0.00029025244,0.0006292723,0.0012266032,0.0010969038,0.00010387462,0.00048478926,0.0000012206733],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012739816,0.0010589937,0.9607678,0.0000668796,0.000038682403,0.0000069519388,0.029028887,0.00007080895,0.000020642898,0.0035442144,0.0012951026,0.0039736126],"study_design_scores_gemma":[0.0002847953,0.0000447232,0.9315805,0.000012727872,0.000044960238,3.6807e-7,0.046691187,0.00048975373,0.001211136,0.0048494795,0.014576196,0.00021421688],"about_ca_topic_score_codex":0.0046563298,"about_ca_topic_score_gemma":0.020467509,"teacher_disagreement_score":0.02918737,"about_ca_system_score_codex":0.00064457516,"about_ca_system_score_gemma":0.0008057153,"threshold_uncertainty_score":0.9974064},"labels":[],"label_agreement":null},{"id":"W3170700550","doi":"10.3390/s21124039","title":"An Integrated Individual Environmental Exposure Assessment System for Real-Time Mobile Sensing in Environmental Health Studies","year":2021,"lang":"en","type":"article","venue":"Sensors","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Peking University","keywords":"Geospatial analysis; Environmental monitoring; Exposure assessment; Environmental epidemiology; Environmental data; Beijing; Computer science; Field (mathematics); Human health; Data collection; Environmental impact assessment; Data science; Environmental science; Environmental resource management; Risk analysis (engineering); Remote sensing; Environmental health; Geography; Business; Environmental engineering","score_opus":0.026565117929955136,"score_gpt":0.33055407241167,"score_spread":0.30398895448171487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3170700550","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979618,0.0004051993,0.000019474406,0.00013221042,0.00021123725,0.00065970526,0.00030582858,0.00008037204,0.00022415658],"genre_scores_gemma":[0.9967567,0.00017741579,0.0021490385,0.00004454051,0.00011892357,0.000021790693,0.00038149318,0.000019367553,0.00033077682],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99773544,0.0005294257,0.0004210282,0.00047406825,0.00040140827,0.00043862735],"domain_scores_gemma":[0.9993534,0.00012120155,0.00013748519,0.00022395772,0.000013019432,0.0001509539],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010138855,0.00017389387,0.0003704843,0.000056668392,0.00046516428,0.00006144725,0.00012757303,0.00010179971,0.000076303426],"category_scores_gemma":[0.000012261004,0.00017103413,0.0000875017,0.00014036786,0.0002462731,0.00018856657,0.000026001362,0.0001491489,0.000008508788],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012955966,0.0017162557,0.76019543,0.00033124216,0.00036158186,0.00028473564,0.15467294,0.0013796102,0.025644824,0.00023264195,0.00029728826,0.05475391],"study_design_scores_gemma":[0.0014197819,0.00041848878,0.3729855,0.00017277237,0.00006888282,0.00000436913,0.6173649,0.00068860105,0.0033323856,0.00008130035,0.0029121358,0.0005508898],"about_ca_topic_score_codex":0.00075732404,"about_ca_topic_score_gemma":0.002040333,"teacher_disagreement_score":0.46269193,"about_ca_system_score_codex":0.0009551416,"about_ca_system_score_gemma":0.00022020425,"threshold_uncertainty_score":0.6974569},"labels":[],"label_agreement":null},{"id":"W3170967046","doi":"10.1016/j.tranpol.2021.05.028","title":"Exploring the impacts of the COVID-19 pandemic on modality profiles for non-mandatory trips in the Greater Toronto Area","year":2021,"lang":"en","type":"article","venue":"Transport Policy","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":72,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"TRIPS architecture; Pandemic; Public transport; Business; Social distance; Public health; Coronavirus disease 2019 (COVID-19); Geography; Transport engineering; Medicine; Engineering","score_opus":0.18189417956664303,"score_gpt":0.376235931975376,"score_spread":0.194341752408733,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3170967046","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9870004,0.000069018824,0.000049132042,0.008441677,0.00013043467,0.0008831014,0.00016306054,0.000028491611,0.0032346752],"genre_scores_gemma":[0.9972676,0.00010654847,0.0000081797225,0.0018868902,0.0002813889,0.00020270764,0.000017584909,0.000010907599,0.00021818631],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982942,0.00022216988,0.0003797566,0.00028043706,0.00041978402,0.00040367272],"domain_scores_gemma":[0.99888325,0.00029504657,0.00011118547,0.0005398778,0.000060322363,0.00011030921],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016978929,0.00015477267,0.00023795673,0.00002685088,0.0004914036,0.000027812765,0.00066901575,0.00007798441,0.00010346692],"category_scores_gemma":[0.00017352225,0.000077152516,0.0002527166,0.00037489965,0.00037949524,0.00031739793,0.00000921172,0.00018083399,8.992571e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011999946,0.00011842837,0.9216519,0.00009240312,0.000020483727,0.00000387015,0.073722415,0.000018182225,0.00015471528,0.0034175734,0.00011115694,0.0005688874],"study_design_scores_gemma":[0.0005485518,0.000025035182,0.9821478,0.00003443823,0.000039686176,4.8336784e-7,0.0066816723,0.0000025979607,0.00060835585,0.0021791086,0.0076151206,0.00011712654],"about_ca_topic_score_codex":0.057694905,"about_ca_topic_score_gemma":0.22567213,"teacher_disagreement_score":0.16797721,"about_ca_system_score_codex":0.0002834573,"about_ca_system_score_gemma":0.0012026672,"threshold_uncertainty_score":0.94857997},"labels":[],"label_agreement":null},{"id":"W3171335505","doi":"10.32866/001c.23718","title":"Are We Happy in Densely Populated Environments? Assessing the Impacts of Density on Subjective Well-Being, Quality of Life, and Perceived Health in Montreal, Canada.","year":2021,"lang":"en","type":"article","venue":"Findings","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Montréal; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; California HIV/AIDS Research Program","keywords":"Happiness; Subjective well-being; Prosperity; Quality of life (healthcare); Context (archaeology); Marital status; Well-being; Psychology; Geography; Socioeconomics; Population; Demographic economics; Environmental health; Gerontology; Economic growth; Social psychology; Economics; Medicine","score_opus":0.029636406066636055,"score_gpt":0.3192434873994419,"score_spread":0.2896070813328059,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3171335505","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99705505,0.00017405394,0.0000018685537,0.0021844723,0.000041506126,0.00017009432,0.000017006181,0.0000039411652,0.00035199124],"genre_scores_gemma":[0.9995244,0.000121430174,0.000009691121,0.000250442,0.000010707187,0.0000013888974,0.000006809622,0.0000048139686,0.00007031648],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983705,0.00041556614,0.00040379385,0.00024441906,0.0003071528,0.000258551],"domain_scores_gemma":[0.9991755,0.000228527,0.0003306086,0.00013879708,0.000028262612,0.000098296914],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095769356,0.000097319564,0.00034626355,0.000049011687,0.00018504419,0.00002374097,0.00011112528,0.00007532206,0.000035000958],"category_scores_gemma":[0.00035399274,0.00008284778,0.000034338613,0.00031962543,0.00016497039,0.00013459976,0.000021058228,0.00019689408,2.1463111e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027501155,0.00008222626,0.98532647,0.00003100751,0.000007929898,0.000007398291,0.013999599,0.000005962139,0.0002879522,0.000046094978,0.000065354456,0.00011248263],"study_design_scores_gemma":[0.00026880062,0.000010489063,0.9900801,0.000146173,0.0000038672783,9.1943726e-8,0.008628046,0.000008494646,0.00032640976,0.00041996044,0.000032924552,0.000074611846],"about_ca_topic_score_codex":0.92169744,"about_ca_topic_score_gemma":0.9925081,"teacher_disagreement_score":0.070810676,"about_ca_system_score_codex":0.00034754307,"about_ca_system_score_gemma":0.0005998557,"threshold_uncertainty_score":0.33784345},"labels":[],"label_agreement":null},{"id":"W3171500944","doi":"10.31235/osf.io/q652t","title":"An Examination of Time-Use and Transportation Barriers to On-Campus Participation of University Students","year":2018,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Logistic regression; University campus; Class (philosophy); Psychology; Medical education; Mathematics education; Medicine; Computer science","score_opus":0.021331243686797598,"score_gpt":0.3134969253725837,"score_spread":0.2921656816857861,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3171500944","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982822,4.6827324e-7,0.00043349268,0.000027598451,0.000024634455,0.00014813639,0.000012777606,0.000014244567,0.0010564441],"genre_scores_gemma":[0.9995216,0.0000015312423,0.000149722,0.000018944986,0.000012549982,3.7965117e-7,0.000007997897,0.0000016563511,0.00028559793],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99941254,0.0000929545,0.00010249105,0.000110423665,0.0002152132,0.00006638899],"domain_scores_gemma":[0.9995713,0.000038096892,0.000053675696,0.00007168975,0.00014961913,0.00011561794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042969626,0.00003368044,0.00006696364,0.00005037755,0.00010627135,0.000009968506,0.00008557986,0.000034784778,0.00026124014],"category_scores_gemma":[0.000052538617,0.00003396007,0.0000126021,0.00017595605,0.00016578606,0.0004004563,0.0000015348363,0.000014708272,0.0000021196176],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007720588,0.00007692864,0.9747986,0.0000044837793,0.0000053546896,1.8914044e-7,0.020965338,0.000005748613,0.0014714195,0.00075095723,0.0000123539185,0.0018313958],"study_design_scores_gemma":[0.00015657448,0.00017118857,0.99316746,0.000006261491,0.000016254084,9.563965e-10,0.0023244144,0.000033139666,0.0039712247,0.00004298874,0.000073439514,0.000037059835],"about_ca_topic_score_codex":0.0015143483,"about_ca_topic_score_gemma":0.009794512,"teacher_disagreement_score":0.018640924,"about_ca_system_score_codex":0.000018031944,"about_ca_system_score_gemma":0.000033626635,"threshold_uncertainty_score":0.5465568},"labels":[],"label_agreement":null},{"id":"W3171606571","doi":"10.2139/ssrn.3472006","title":"Longitudinal Impact of Changes in the Residential Built Environment on Physical Activity: Findings from the ENABLE London Study","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Population Health Research Institute","funders":"Medical Research Council","keywords":"Built environment; Physical activity; Longitudinal study; Architectural engineering; Psychology; Geography; Gerontology; Engineering; Civil engineering; Medicine; Physical medicine and rehabilitation; Statistics; Mathematics","score_opus":0.023039578235627352,"score_gpt":0.31569268357204716,"score_spread":0.2926531053364198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3171606571","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979332,0.0001961474,0.000012258961,0.0010820939,0.00007884907,0.00044340675,0.0000050504227,0.000005305699,0.00024369605],"genre_scores_gemma":[0.99907523,0.00024862165,5.8088403e-7,0.000015326747,0.0004162503,0.0000066587463,0.0000012090103,0.000007875187,0.00022825052],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99742764,0.00043117063,0.00014131503,0.00022451326,0.00072209054,0.0010532856],"domain_scores_gemma":[0.99927413,0.00027293668,0.00014366182,0.0002574511,0.000015900552,0.000035907513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00270576,0.00013090951,0.00021376178,0.000045260906,0.00031947106,0.00008409232,0.00065115286,0.000048174807,0.00017515528],"category_scores_gemma":[0.000030722702,0.0000699442,0.00016513559,0.00019226046,0.00012081207,0.00021898547,0.000027230333,0.0012753869,0.000019121637],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024063156,0.00084342225,0.9842341,0.0000010778477,0.00010239651,0.0000034992936,0.011318432,0.000039392224,0.00069940876,0.00057079544,0.000022818707,0.0019240214],"study_design_scores_gemma":[0.0006223807,0.0009411556,0.97221476,0.000012006787,0.000049617287,8.9200165e-7,0.010376963,0.000008722049,0.00024261948,0.015390899,0.0000502042,0.000089801346],"about_ca_topic_score_codex":0.02575854,"about_ca_topic_score_gemma":0.081270695,"teacher_disagreement_score":0.055512153,"about_ca_system_score_codex":0.0007041885,"about_ca_system_score_gemma":0.00068491796,"threshold_uncertainty_score":0.98072904},"labels":[],"label_agreement":null},{"id":"W3172648784","doi":"10.1038/s42949-021-00020-2","title":"Urban access across the globe: an international comparison of different transport modes","year":2021,"lang":"en","type":"article","venue":"npj Urban Sustainability","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":78,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University; Polytechnique Montréal","funders":"Social Sciences and Humanities Research Council of Canada; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; European Commission; Chinese Academy of Sciences; World Bank Group","keywords":"Metropolitan area; Destinations; Market access; Population; Geography; Transport network; Economic geography; Business; Economic growth; Regional science; Transport engineering; Tourism; Economics; Demography; Engineering","score_opus":0.036355527572861486,"score_gpt":0.3980665915467718,"score_spread":0.36171106397391034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3172648784","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9895144,0.00020313682,0.0004998029,0.0022158802,0.00040721372,0.000535137,0.00010202797,0.0001033446,0.0064190277],"genre_scores_gemma":[0.99831516,0.000012186172,0.000029421455,0.00007813254,0.00037775436,0.000040205847,0.000090594855,0.000014886837,0.0010416798],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9965269,0.00056393864,0.00071807014,0.000658109,0.00092381536,0.0006091495],"domain_scores_gemma":[0.99709785,0.00022173848,0.00023367889,0.0008942864,0.0013374368,0.00021498626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014075642,0.00023558838,0.00046272582,0.00003224347,0.00085214904,0.00021348163,0.0015734484,0.00018678894,0.00053402735],"category_scores_gemma":[0.00046795508,0.00018013312,0.00028377015,0.00051901257,0.0013448765,0.0010917481,0.0001205893,0.0004137705,0.000001059786],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000987686,0.001084945,0.95941913,0.00008660448,0.00003797779,0.000007769005,0.028074706,0.000031674153,0.0000348125,0.008223327,0.0003980978,0.0025021723],"study_design_scores_gemma":[0.00032922227,0.000033968015,0.9437003,0.00001029795,0.000038441125,1.640295e-7,0.03642481,0.0001582464,0.0013462201,0.0086913,0.009062591,0.00020441673],"about_ca_topic_score_codex":0.0045089093,"about_ca_topic_score_gemma":0.018529456,"teacher_disagreement_score":0.01571882,"about_ca_system_score_codex":0.00051989354,"about_ca_system_score_gemma":0.00074539596,"threshold_uncertainty_score":0.9993798},"labels":[],"label_agreement":null},{"id":"W3173163245","doi":"10.18280/ijsdp.160302","title":"Microscale Walkability Modelling. The Case of Athens City Centre","year":2021,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"State Scholarships Foundation; European Commission","keywords":"Walkability; Pedestrian; Transport engineering; Audit; Variables; Built environment; Computer science; Geography; Business; Civil engineering; Engineering; Accounting","score_opus":0.02671746897710023,"score_gpt":0.2961229012532073,"score_spread":0.269405432276107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3173163245","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946838,0.0006129194,0.0023571604,0.00091346784,0.00022353692,0.00004918969,0.0000030158585,0.00000375171,0.001153136],"genre_scores_gemma":[0.99726206,0.00002986739,0.0014429003,0.000040910178,0.00012336897,4.1942397e-7,0.0000033679366,0.0000026009518,0.0010944912],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9990608,0.00006612575,0.00035566205,0.00009263585,0.00026395786,0.00016082868],"domain_scores_gemma":[0.9982274,0.00015468943,0.0002152547,0.000048960836,0.001291875,0.000061779974],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010559378,0.000061427105,0.00012104696,0.000055424836,0.00028504213,0.00008395268,0.00019019829,0.000041344356,0.000092606235],"category_scores_gemma":[0.00014151736,0.00004605832,0.000053642307,0.00011646312,0.000121403355,0.0002523081,0.000043717457,0.00013966944,2.020827e-7],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018246984,0.00022278485,0.71826655,0.00007372679,0.00025100744,0.017919756,0.24827902,0.0014415078,0.000062925625,0.0074868756,0.0003256856,0.0054876814],"study_design_scores_gemma":[0.0011508933,0.000023431168,0.087672755,0.0002294124,0.00007433466,0.0004002547,0.7544899,0.0005074085,0.0041813483,0.017057119,0.13386868,0.00034448638],"about_ca_topic_score_codex":0.0007004599,"about_ca_topic_score_gemma":0.00018458201,"teacher_disagreement_score":0.63059384,"about_ca_system_score_codex":0.00010394709,"about_ca_system_score_gemma":0.0005741681,"threshold_uncertainty_score":0.21923423},"labels":[],"label_agreement":null},{"id":"W3173848542","doi":"10.22215/etd/2020-14196","title":"Searching for a Public Transit 'Fix': A Multi-Scalar Study of Public Transit Policy in Ottawa and Waterloo Region","year":2020,"lang":"en","type":"dissertation","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University","funders":"","keywords":"Public administration; Urbanism; Political science; Corporate governance; Politics; Negotiation; New Urbanism; Public transport; Transit-oriented development; Urban politics; Bus rapid transit; Public policy; Geography; Economics; Architecture; Management","score_opus":0.09306253328559824,"score_gpt":0.3630412250066492,"score_spread":0.26997869172105093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3173848542","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9894206,0.00016799287,0.0007473414,0.004255755,0.00010596861,0.0026582829,0.000019369274,0.000094282586,0.0025304356],"genre_scores_gemma":[0.9968664,0.000054373584,0.00025680938,0.000060045302,0.00013213196,0.00015276553,0.00028101646,0.00003905005,0.0021574048],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99695116,0.00037490673,0.00076399423,0.0007385563,0.0005597927,0.00061161636],"domain_scores_gemma":[0.9989464,0.00012529455,0.00018977506,0.00022168098,0.00021127633,0.00030552162],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001164695,0.00030433483,0.00067793333,0.00055338803,0.0003657546,0.0002447753,0.00049962255,0.00036379992,0.000041835792],"category_scores_gemma":[0.00020080087,0.0002752677,0.00019507583,0.0009895846,0.00014011761,0.0007039842,0.000008667908,0.00041009724,8.680904e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002880336,0.0023871418,0.39150113,0.0012501513,0.0001877726,0.000023716479,0.5610951,0.0000021701687,0.0005064481,0.005578691,0.000048803347,0.03713079],"study_design_scores_gemma":[0.006501328,0.0007885644,0.7145103,0.00018176383,0.00016574062,4.1987371e-7,0.270125,0.00038062196,0.00024278455,0.0016239587,0.0045134462,0.0009660322],"about_ca_topic_score_codex":0.04900773,"about_ca_topic_score_gemma":0.6949905,"teacher_disagreement_score":0.6459828,"about_ca_system_score_codex":0.00009368155,"about_ca_system_score_gemma":0.00066474697,"threshold_uncertainty_score":0.99996996},"labels":[],"label_agreement":null},{"id":"W3173992462","doi":"10.1080/01944363.2021.1886974","title":"Riders Who Avoided Public Transit During COVID-19","year":2021,"lang":"en","type":"article","venue":"Journal of the American Planning Association","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":106,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Public transport; Disadvantage; Destinations; Transit (satellite); Coronavirus disease 2019 (COVID-19); Walkability; Business; Travel behavior; Demographic economics; Transport engineering; Public economics; Geography; Economics; Political science; Built environment; Engineering; Medicine; Tourism","score_opus":0.03146086810706104,"score_gpt":0.32831267175673823,"score_spread":0.29685180364967717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3173992462","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9610777,0.00010987466,0.00032172143,0.036818616,0.00034624533,0.00004488978,0.0000055153632,0.000022373757,0.0012530896],"genre_scores_gemma":[0.9970356,0.000045887962,0.00010578535,0.0012464485,0.00034748603,6.7984274e-7,0.0000014240068,0.00000668154,0.0012099557],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99796313,0.00056442374,0.00036095863,0.000112976544,0.0007316721,0.0002668438],"domain_scores_gemma":[0.9977155,0.00033617113,0.0013711206,0.000112222195,0.00027986983,0.0001851225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017388698,0.000074622854,0.00025852592,0.00006678883,0.00081098493,0.0001560394,0.00030706474,0.000047489233,0.000044022327],"category_scores_gemma":[0.0030680962,0.000060445847,0.0002270806,0.00070065877,0.00012210294,0.00038884179,0.000013451965,0.00033216918,0.0000016900376],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002588678,0.00003198713,0.9867814,0.0000072255525,0.00007727305,0.000024116103,0.009161513,0.00040419545,0.00059007836,0.00003120372,0.0026032405,0.0002618432],"study_design_scores_gemma":[0.00036052382,0.000015365766,0.97950894,0.000030429004,0.000061333776,0.0000039109896,0.0084330235,0.0000137767765,0.00029377648,0.00053335726,0.010649036,0.00009653489],"about_ca_topic_score_codex":0.0005883477,"about_ca_topic_score_gemma":0.0005991364,"teacher_disagreement_score":0.035957977,"about_ca_system_score_codex":0.0010485122,"about_ca_system_score_gemma":0.0009624525,"threshold_uncertainty_score":0.62375224},"labels":[],"label_agreement":null},{"id":"W3174217912","doi":"10.32866/001c.24958","title":"The Impact of COVID-19 on the Movement of Trucks Between Canada and the US: Evidence from the Ambassador Bridge","year":2021,"lang":"en","type":"article","venue":"Findings","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Truck; Coronavirus disease 2019 (COVID-19); Bridge (graph theory); Pandemic; 2019-20 coronavirus outbreak; Geography; Traffic volume; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Transport engineering; Engineering; Medicine; Virology; Outbreak","score_opus":0.0503320001708009,"score_gpt":0.33181074917147513,"score_spread":0.2814787490006742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3174217912","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97767866,0.00047963273,0.000010211854,0.020942423,0.00007338519,0.0002741223,0.00019758304,0.0000046230953,0.0003393582],"genre_scores_gemma":[0.9987828,0.0001151914,0.0000023692414,0.00077126507,0.00009324028,0.000008402819,0.00000440549,0.0000037381762,0.00021855845],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985586,0.0003345457,0.00024489826,0.00016558733,0.0005020851,0.00019433215],"domain_scores_gemma":[0.99435097,0.0049965056,0.00016856109,0.00034563636,0.00006892309,0.0000693794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018980445,0.0000873911,0.00017018181,0.000005894284,0.0008164373,0.000078637466,0.0006027765,0.000036515557,0.00018513836],"category_scores_gemma":[0.0013718903,0.00003276789,0.00010975766,0.00024099756,0.0007839155,0.000072955416,0.000053647716,0.00015934456,5.03333e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038495717,0.0000075892513,0.9825962,0.000005077858,0.000058850546,0.0000011154726,0.010991668,0.0000046341465,0.000052223666,0.0008392834,0.0050753267,0.00032952416],"study_design_scores_gemma":[0.00018582297,0.00001488341,0.99222827,0.000038317852,0.000035201847,2.5726596e-8,0.002206231,0.000006256928,0.0006167869,0.0029732499,0.0016489859,0.000045989545],"about_ca_topic_score_codex":0.95450026,"about_ca_topic_score_gemma":0.8684311,"teacher_disagreement_score":0.086069144,"about_ca_system_score_codex":0.00015718304,"about_ca_system_score_gemma":0.0014123048,"threshold_uncertainty_score":0.62794584},"labels":[],"label_agreement":null},{"id":"W3175048231","doi":"10.32866/001c.25224","title":"A Comprehensive Transit Accessibility and Equity Dashboard","year":2021,"lang":"en","type":"article","venue":"Findings","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Dashboard; Equity (law); Public transport; Business; Transit (satellite); Transport engineering; Baseline (sea); Computer science; Engineering; Data science; Political science","score_opus":0.05960213511412883,"score_gpt":0.3654051286617658,"score_spread":0.30580299354763696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3175048231","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97696567,0.00037888697,0.0001373116,0.001364105,0.00019058006,0.0001355453,0.000021586166,0.00009411513,0.02071222],"genre_scores_gemma":[0.99811924,0.00004116536,0.0003148648,0.00035189558,0.00010000332,0.000005233976,0.000013862377,0.000006363299,0.0010473618],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986752,0.00009743126,0.00019348762,0.00040630254,0.00030558286,0.00032195906],"domain_scores_gemma":[0.9993588,0.00010334955,0.00003662861,0.00019356425,0.00014390996,0.00016378106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035961898,0.00010447867,0.00020323605,0.000025976991,0.0005132247,0.00017586646,0.00020447826,0.00011231506,0.00088750676],"category_scores_gemma":[0.00008529878,0.000104898856,0.00007702877,0.00031471372,0.00037672505,0.0004062114,0.00007423452,0.00016226668,0.000015699852],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003850398,0.00014166057,0.9617537,0.00013224996,0.000030264722,0.00008550696,0.018135967,4.721586e-7,0.0029117772,0.004279463,0.00081154803,0.011678886],"study_design_scores_gemma":[0.0003353872,0.000011542086,0.9547631,0.000022384766,0.000026643409,9.948341e-7,0.0018972735,0.0000065231147,0.0019591604,0.006772083,0.034022704,0.00018215936],"about_ca_topic_score_codex":0.000672116,"about_ca_topic_score_gemma":0.0019355927,"teacher_disagreement_score":0.033211157,"about_ca_system_score_codex":0.00005680596,"about_ca_system_score_gemma":0.00019922896,"threshold_uncertainty_score":0.9717577},"labels":[],"label_agreement":null},{"id":"W3175854258","doi":"10.47472/nwep5068","title":"Effect of transport infrstructure in changing urban form of a historical city: a case study of Lahore","year":2020,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of the Fraser Valley","funders":"","keywords":"Government (linguistics); Business; Revenue; Transport engineering; Public transport; Service (business); Mass transportation; Transit (satellite); Bus rapid transit; Economic growth; Environmental planning; Finance; Geography; Engineering; Marketing; Economics","score_opus":0.02443728623142625,"score_gpt":0.2985693389960864,"score_spread":0.27413205276466013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3175854258","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981653,0.000051599487,0.0000357068,0.00008243114,0.00004691305,0.0005231548,0.0000064164647,0.000019343417,0.0010691015],"genre_scores_gemma":[0.9998517,0.0000012949195,0.000024717521,0.000011960278,0.00004023335,0.0000064196734,0.0000014088357,0.000004892733,0.000057363664],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99884075,0.00008297003,0.00041503974,0.0001793569,0.00031137798,0.00017053286],"domain_scores_gemma":[0.9995447,0.000083904335,0.00012905004,0.00011455337,0.000047215257,0.0000805749],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058270013,0.000092763075,0.00043472345,0.00012112897,0.000046556626,0.000002005421,0.00016469011,0.000079363854,0.00012853398],"category_scores_gemma":[0.000048354388,0.00007325872,0.00010141953,0.0010184111,0.00008268985,0.0001172984,0.000011594513,0.000115536175,7.334652e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010416417,0.00013915285,0.84495,0.00016712872,0.000012426402,0.00012943018,0.15348694,0.0000015821844,0.000083985644,0.00005361558,0.000011950437,0.00085959205],"study_design_scores_gemma":[0.010386616,0.008775468,0.78587687,0.00019298481,0.00065867906,0.000010055362,0.17930432,0.0002671308,0.012088445,0.0004320045,0.001104414,0.0009029978],"about_ca_topic_score_codex":0.02317513,"about_ca_topic_score_gemma":0.031315833,"teacher_disagreement_score":0.05907315,"about_ca_system_score_codex":0.00007379326,"about_ca_system_score_gemma":0.000063538595,"threshold_uncertainty_score":0.98636013},"labels":[],"label_agreement":null},{"id":"W3176335072","doi":"10.1016/j.jeem.2021.102494","title":"Corrigendum to “On the effects of COVID-19 safer-at-home policies on social distancing, car crashes and pollution” [J. Environ. Econ. Manag. 106 (2021) 102427]","year":2021,"lang":"en","type":"erratum","venue":"Journal of Environmental Economics and Management","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"SAFER; Social distance; Coronavirus disease 2019 (COVID-19); Distancing; Business; Public economics; Environmental economics; Economics; Computer security; Computer science; Medicine","score_opus":0.013415718003877223,"score_gpt":0.23715916864927816,"score_spread":0.22374345064540094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3176335072","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9514842,0.0043843524,0.000029440786,0.012721945,0.0098661445,0.0011340667,0.000460955,0.000008343562,0.019910533],"genre_scores_gemma":[0.85565525,0.068634935,0.00003305183,0.0031524391,0.0013655573,0.000022769891,0.000046994544,0.000045990495,0.071043],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99821186,0.0001325163,0.0006149057,0.00040169433,0.00030134703,0.00033767644],"domain_scores_gemma":[0.99868506,0.00008219141,0.0006887752,0.00023819329,0.0000060825396,0.00029969888],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005953272,0.0003135157,0.000588532,0.00017942334,0.0007265251,0.00012066953,0.00036722055,0.00019502678,0.0003985259],"category_scores_gemma":[0.000024803465,0.00026300526,0.00024225998,0.000060190367,0.000532114,0.00012271736,0.00022944207,0.00032285124,0.000007309835],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006113731,0.0010693724,0.015165269,0.0016769108,0.0018881727,0.0002743125,0.014328872,0.00019412936,0.0001246595,0.03545592,0.91377276,0.015438236],"study_design_scores_gemma":[0.0005051129,0.00022998675,0.1533536,0.00010452269,0.00022192407,0.0000013418229,0.00361259,0.0000030732017,0.000023076322,0.0007410973,0.8409143,0.0002893612],"about_ca_topic_score_codex":0.000296273,"about_ca_topic_score_gemma":0.0015325268,"teacher_disagreement_score":0.13818833,"about_ca_system_score_codex":0.0011657055,"about_ca_system_score_gemma":0.00009049709,"threshold_uncertainty_score":0.99998224},"labels":[],"label_agreement":null},{"id":"W3177081244","doi":"10.3390/su13126975","title":"Impacts of the COVID-19 Pandemic on Active Travel Mode Choice in Bangladesh: A Study from the Perspective of Sustainability and New Normal Situation","year":2021,"lang":"en","type":"article","venue":"Sustainability","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":75,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Bangladesh University of Engineering and Technology; University of Engineering and Technology, Lahore","keywords":"Multinomial logistic regression; Public transport; Pandemic; Sustainability; Sustainable transport; Travel survey; Business; Coronavirus disease 2019 (COVID-19); Travel behavior; Mode (computer interface); Perspective (graphical); New normal; Mode choice; Public economics; Marketing; Transport engineering; Economics; Engineering; Medicine; Computer science","score_opus":0.034607408767054405,"score_gpt":0.36430397714601104,"score_spread":0.3296965683789566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3177081244","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9881003,0.00009604747,0.00010552067,0.009328011,0.00005187153,0.0020019724,0.000067916575,0.00001707086,0.00023129904],"genre_scores_gemma":[0.9996829,0.000005105765,0.000006555461,0.0001332227,0.000062915664,0.000026706912,0.0000050272406,0.00000650618,0.00007106882],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99615383,0.0019570694,0.00044606288,0.0005591846,0.00052774604,0.00035610597],"domain_scores_gemma":[0.99529266,0.0022152665,0.0002474494,0.0006760219,0.0013888852,0.00017971128],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0023073896,0.00017038605,0.00036005685,0.000043314412,0.00041753062,0.000034428347,0.00039689514,0.00013467687,0.00006777304],"category_scores_gemma":[0.020678597,0.000115180126,0.00014018329,0.0009092437,0.0010258071,0.00032672042,0.000106983236,0.00044557542,8.3954276e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031009226,0.00067737495,0.8261576,0.00005948283,0.00002422283,0.00000258376,0.17020059,0.000097941884,0.000025235648,0.0016536996,0.000008807926,0.0007823596],"study_design_scores_gemma":[0.0006814977,0.00006173662,0.64654833,0.000005303013,0.00003471808,7.238813e-8,0.25538868,0.000013822788,0.00010143474,0.09706803,0.00002377949,0.00007258855],"about_ca_topic_score_codex":0.5323915,"about_ca_topic_score_gemma":0.5311183,"teacher_disagreement_score":0.17960925,"about_ca_system_score_codex":0.0036503535,"about_ca_system_score_gemma":0.008036573,"threshold_uncertainty_score":0.99758697},"labels":[],"label_agreement":null},{"id":"W3178349121","doi":"10.4000/vertigo.31808","title":"Modes de vie et environnement","year":2021,"lang":"fr","type":"article","venue":"VertigO","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Geography; Philosophy","score_opus":0.026785215356300948,"score_gpt":0.29341373583379593,"score_spread":0.26662852047749497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3178349121","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8782709,0.019366054,0.0029102752,0.01830678,0.0006943041,0.00008570225,0.000027443672,0.00003856114,0.08029994],"genre_scores_gemma":[0.96982104,0.0012236048,0.0017040002,0.0014959645,0.00025022845,0.000006370353,0.000012948343,0.000009210254,0.025476646],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986904,0.00020685534,0.00018540192,0.0002779758,0.00025083844,0.00038851882],"domain_scores_gemma":[0.99950427,0.000051840743,0.00003793928,0.00021194914,0.00003423412,0.00015976476],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00030998842,0.00010829456,0.0001412543,0.000012696815,0.00022978915,0.00006315888,0.00017007747,0.000119990145,0.004758904],"category_scores_gemma":[0.00003909328,0.00011708698,0.00012286627,0.0002229388,0.00030277588,0.0002636543,0.000034616907,0.00014898695,0.0001929401],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011369279,0.0006496269,0.7530048,0.00009636297,0.00005897693,0.00011817838,0.008317868,0.00010384857,0.0019414905,0.21184413,0.004520038,0.019333344],"study_design_scores_gemma":[0.0002795844,0.000024294168,0.14441168,0.00007660604,0.00007847961,7.433128e-7,0.0015825054,0.00030212125,0.0057634944,0.01812626,0.82911074,0.00024350714],"about_ca_topic_score_codex":0.0010319635,"about_ca_topic_score_gemma":0.005963182,"teacher_disagreement_score":0.8245907,"about_ca_system_score_codex":0.00014904038,"about_ca_system_score_gemma":0.0004503308,"threshold_uncertainty_score":0.99615085},"labels":[],"label_agreement":null},{"id":"W3179338475","doi":"10.1016/j.trd.2021.102964","title":"Assessing filtered permeability around the globe: The unknown beloved principle of cycling cities","year":2021,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Cycling; Operationalization; Globe; Traffic calming; Geography; Sustainable transport; Regional science; Transport engineering; Economic geography; Engineering; Archaeology; Psychology; Sustainability","score_opus":0.10963403042859364,"score_gpt":0.3857939568165103,"score_spread":0.27615992638791664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3179338475","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99230593,0.00075738184,0.0004601214,0.0038788205,0.00010196586,0.00057662465,0.00006755704,0.000028971534,0.0018226014],"genre_scores_gemma":[0.9972065,0.0013077201,0.00015356803,0.000060131206,0.00014894656,0.00007593107,0.00014811794,0.000015015118,0.0008840639],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9965713,0.00044132132,0.00064071117,0.0004915301,0.0013013803,0.00055375864],"domain_scores_gemma":[0.99866325,0.00044273594,0.00011808701,0.00048480928,0.0001315724,0.00015957741],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.003222142,0.00017659328,0.0002755414,0.00003961719,0.0015864086,0.000115566094,0.00035360112,0.00011711443,0.0008893399],"category_scores_gemma":[0.000034819346,0.000120145494,0.00016597268,0.00036365478,0.00231708,0.0004616393,0.000009146371,0.00045988464,0.000004348596],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058193276,0.00025422074,0.9730836,0.00013030272,0.00006626865,0.000022986173,0.017381502,0.00032665124,0.0008592792,0.005571179,0.000027167811,0.0022186327],"study_design_scores_gemma":[0.0003175809,0.000022842743,0.9319552,0.00004171091,0.00006340947,1.8907352e-7,0.012151411,0.000034743483,0.0010748595,0.0020237535,0.052173343,0.00014093443],"about_ca_topic_score_codex":0.0015977687,"about_ca_topic_score_gemma":0.010642017,"teacher_disagreement_score":0.052146174,"about_ca_system_score_codex":0.00007720031,"about_ca_system_score_gemma":0.00030785697,"threshold_uncertainty_score":0.99971336},"labels":[],"label_agreement":null},{"id":"W3179765034","doi":"10.1016/s2542-5196(21)00135-2","title":"Integrating solutions to adapt cities for climate change","year":2021,"lang":"en","type":"review","venue":"The Lancet Planetary Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":163,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Economic and Social Research Council; National Sleep Foundation; Commonwealth Scientific and Industrial Research Organisation; National Science Foundation","keywords":"Climate change; Environmental planning; Environmental resource management; Geography; Computer science; Environmental science; Ecology; Biology","score_opus":0.3544224155817622,"score_gpt":0.44386463828534317,"score_spread":0.08944222270358099,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3179765034","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000037120044,0.98227656,0.00007713443,0.010589743,0.0006701973,0.0021340232,0.0024295917,0.000108785134,0.0017102583],"genre_scores_gemma":[0.000033983477,0.99063903,0.0007913965,0.002322823,0.003752232,0.00034046368,0.0019268395,0.00001981048,0.00017341528],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99737316,0.000539277,0.00051588065,0.00035776096,0.00023878113,0.00097513164],"domain_scores_gemma":[0.9985279,0.0005544249,0.00027892122,0.00040602623,0.00004223526,0.00019052702],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0025454168,0.00024091848,0.0015287935,0.00005691796,0.0014477945,0.00008857793,0.0006312529,0.00014120205,0.00011707072],"category_scores_gemma":[0.000080373655,0.0001598154,0.00023953582,0.00031805495,0.000112743015,0.00010421896,0.000047732763,0.00040238266,0.000029099434],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000075669795,0.000020048621,0.00022677335,0.011916248,0.00004474627,0.0000030254978,0.005991613,4.713662e-7,1.5754875e-9,0.010851275,0.023329604,0.94760865],"study_design_scores_gemma":[0.00004945302,0.000034289293,0.00014265344,0.0055123908,0.00009295307,9.3058236e-7,0.0008351562,0.000003768201,2.152002e-9,0.00022694314,0.9929296,0.00017185492],"about_ca_topic_score_codex":0.009757419,"about_ca_topic_score_gemma":0.05739627,"teacher_disagreement_score":0.9696,"about_ca_system_score_codex":0.00015115563,"about_ca_system_score_gemma":0.00090081966,"threshold_uncertainty_score":0.9998522},"labels":[],"label_agreement":null},{"id":"W3180868286","doi":"10.1123/jpah.2021-0191","title":"Priorities and Indicators for Economic Evaluation of Built Environment Interventions to Promote Physical Activity","year":2021,"lang":"en","type":"article","venue":"Journal of Physical Activity and Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Headwaters Health Care Centre","funders":"National Center for Chronic Disease Prevention and Health Promotion","keywords":"Walkability; Life expectancy; Business; Built environment; Revenue; Delphi method; Psychological intervention; Per capita; Scale (ratio); Marketing; Environmental economics; Psychology; Environmental health; Geography; Economics; Engineering; Computer science; Medicine; Population","score_opus":0.10791019851063996,"score_gpt":0.4373316712928828,"score_spread":0.3294214727822429,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3180868286","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951779,0.00009678256,0.00052919565,0.0037779196,0.000054614913,0.00028960468,0.000028435346,0.0000025967329,0.000042928437],"genre_scores_gemma":[0.9994823,0.000046000016,0.00015625298,0.000013855015,0.0002737183,0.0000064002083,6.3914973e-7,0.0000034564387,0.000017418442],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.999136,0.00017199073,0.00014978975,0.0001372259,0.0002717064,0.00013331747],"domain_scores_gemma":[0.99930817,0.00010329647,0.00030297725,0.00006367951,0.000055184497,0.00016667026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001182455,0.00006504252,0.0003078399,0.000047099988,0.00019990742,0.000028774712,0.00005616978,0.000028581519,0.000011782589],"category_scores_gemma":[0.00004380604,0.000058699447,0.0001481901,0.00005175306,0.00013143157,0.0004069753,0.0000227809,0.00013119257,3.2754576e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000211879,0.00433834,0.04130363,0.00078785437,0.00011369443,8.5805556e-7,0.019958451,0.000060902417,0.005076184,0.003720488,0.000074877054,0.9243528],"study_design_scores_gemma":[0.0006014634,0.0006207502,0.980512,0.000114401366,0.00010883833,4.3300065e-7,0.0005435093,0.0003501325,0.008010341,0.008626785,0.0004226404,0.00008868523],"about_ca_topic_score_codex":0.00036327113,"about_ca_topic_score_gemma":0.00070759794,"teacher_disagreement_score":0.9392084,"about_ca_system_score_codex":0.00018786771,"about_ca_system_score_gemma":0.0005370447,"threshold_uncertainty_score":0.2393694},"labels":[],"label_agreement":null},{"id":"W3181476566","doi":"10.1016/j.pmedr.2021.101479","title":"Longitudinal associations between bicycling and having dependent children, in middle-aged men and women","year":2021,"lang":"en","type":"article","venue":"Preventive Medicine Reports","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"British Columbia Centre of Excellence for Women's Health; Simon Fraser University","funders":"Medical Research Council; National Health and Medical Research Council; Social Sciences and Humanities Research Council of Canada; Mitacs","keywords":"Odds; Recreation; Demography; Odds ratio; Injury prevention; Poison control; Psychological intervention; Human factors and ergonomics; Logistic regression; Suicide prevention; Longitudinal study; Occupational safety and health; Psychology; Medicine; Environmental health; Ecology","score_opus":0.039403418103579446,"score_gpt":0.32400128045954596,"score_spread":0.2845978623559665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3181476566","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940251,0.0013860731,0.00011924852,0.0006806249,0.00009064653,0.0002618471,0.000005884277,0.000027288257,0.0034032853],"genre_scores_gemma":[0.9985669,0.00013265021,0.000058875146,0.000019875359,0.00023685048,0.000016299398,0.000033317003,0.0000071496265,0.0009280384],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981638,0.00021656184,0.00049424503,0.00043263167,0.00038942203,0.0003033202],"domain_scores_gemma":[0.99918157,0.00018746863,0.00025337472,0.00013442969,0.00008372921,0.00015941565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002536369,0.00011025204,0.00034579478,0.00008155595,0.00031332465,0.000038149774,0.00005228951,0.00007410943,0.00010665784],"category_scores_gemma":[0.00079567125,0.00010295718,0.000028850138,0.00028597075,0.00021354333,0.00022266908,0.0000529734,0.00019626108,2.622779e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000001706489,0.00003684912,0.9839494,0.000012558457,0.000044791104,0.00015382277,0.013812967,2.6407542e-7,0.000056488898,0.000016310865,0.000012958327,0.0019018706],"study_design_scores_gemma":[0.00029610665,0.000014670089,0.9924459,0.00013172725,0.0000630938,0.0000056852596,0.003250157,9.073614e-7,0.00007303801,0.0035874096,0.00002800542,0.00010329947],"about_ca_topic_score_codex":0.0034514342,"about_ca_topic_score_gemma":0.0039409213,"teacher_disagreement_score":0.010562809,"about_ca_system_score_codex":0.00015762841,"about_ca_system_score_gemma":0.00013218884,"threshold_uncertainty_score":0.52175593},"labels":[],"label_agreement":null},{"id":"W3181480953","doi":"10.1016/j.healthplace.2021.102623","title":"Perceived neighbourhood safety moderates the relationship between active school travel and health-related quality of life","year":2021,"lang":"en","type":"article","venue":"Health & Place","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"London Health Sciences Centre; Lawson Health Research Institute; NOSM University; Athabasca University; Children’s Health Research Institute; Western University","funders":"Canadian Institutes of Health Research; Social Sciences and Humanities Research Council of Canada; Heart and Stroke Foundation of Canada; Children's Health Research Institute; Children's Heart Foundation","keywords":"Neighbourhood (mathematics); Psychosocial; Psychology; Psychological intervention; Interpersonal communication; Occupational safety and health; Poison control; Environmental health; Medicine; Social psychology; Psychiatry","score_opus":0.13582698166272278,"score_gpt":0.3938432830746851,"score_spread":0.2580163014119623,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3181480953","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9306416,0.0020336704,0.0002858999,0.06385458,0.00008749873,0.0005059145,0.00011540107,0.000042128777,0.002433305],"genre_scores_gemma":[0.9978158,0.00023530875,0.00016594061,0.0010824132,0.000100913145,0.000008071834,0.000057877478,0.000009648015,0.00052406854],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9963823,0.0016050056,0.0008750084,0.00034356213,0.00038824836,0.00040586555],"domain_scores_gemma":[0.9969046,0.001746897,0.00046124903,0.00025616065,0.00015173123,0.00047937062],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0034907633,0.00012704433,0.00047999283,0.000031467327,0.0014963432,0.000045828456,0.00016239264,0.00014253546,0.00024711405],"category_scores_gemma":[0.0013142194,0.00010489364,0.00007576655,0.00042574576,0.00028198608,0.0002588925,0.00002197696,0.00048735848,0.000006516839],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007150028,0.000055516517,0.965317,0.00010953329,0.000022443552,3.470124e-7,0.027595501,0.000010700384,0.0000038252997,0.0055024014,0.00018335074,0.0011278596],"study_design_scores_gemma":[0.0005056431,0.000030068675,0.9847116,0.00005575481,0.000008633897,1.5953668e-7,0.010621355,0.000024689312,0.0000050576086,0.0038047484,0.00013603599,0.000096269476],"about_ca_topic_score_codex":0.03613118,"about_ca_topic_score_gemma":0.026296718,"teacher_disagreement_score":0.06717416,"about_ca_system_score_codex":0.000250546,"about_ca_system_score_gemma":0.0035649666,"threshold_uncertainty_score":0.9998036},"labels":[],"label_agreement":null},{"id":"W3181749295","doi":"10.1016/j.apmr.2021.06.005","title":"Quantifying Mobility Scooter Performance in Winter Environments","year":2021,"lang":"en","type":"article","venue":"Archives of Physical Medicine and Rehabilitation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Health Network; University of Toronto; Toronto Rehabilitation Institute","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Environmental science; Physical medicine and rehabilitation; Rehabilitation; Computer science; Medicine; Physical therapy","score_opus":0.022820618687299652,"score_gpt":0.32017693308130746,"score_spread":0.2973563143940078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3181749295","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9943456,0.00010941444,0.000041329844,0.0017443433,0.000036750585,0.000110544104,0.000001028155,0.0000050915846,0.0036058645],"genre_scores_gemma":[0.99940556,0.0000380201,0.00036780548,0.000029720431,0.000075400196,0.00000577414,0.00000532957,0.0000025745053,0.00006980312],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992338,0.00013852457,0.00016472625,0.00019008615,0.00016268504,0.00011016588],"domain_scores_gemma":[0.99858826,0.0012125018,0.000040072,0.00010460492,0.000009588912,0.000044978337],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023124379,0.000054745284,0.00016491378,0.00004588438,0.000061962724,0.0000031332634,0.00005269955,0.000018904348,0.000029731229],"category_scores_gemma":[0.0003555667,0.000042602882,0.00004515049,0.00011071192,0.000846762,0.00015711151,0.00001607837,0.0000823934,7.3475076e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027272064,0.0002123025,0.9273575,0.0001463951,0.000003989846,5.565878e-7,0.042301744,0.0000051574934,0.0043804287,0.0015960853,0.000002522496,0.023966033],"study_design_scores_gemma":[0.0002807997,0.00016729328,0.98804057,0.00024206859,0.000007550653,2.7835139e-8,0.0039766026,0.00016522473,0.00030325702,0.006439248,0.00033180963,0.00004553818],"about_ca_topic_score_codex":0.00028687553,"about_ca_topic_score_gemma":0.00048165733,"teacher_disagreement_score":0.060683068,"about_ca_system_score_codex":0.000009954006,"about_ca_system_score_gemma":0.000019143787,"threshold_uncertainty_score":0.31199297},"labels":[],"label_agreement":null},{"id":"W3182573245","doi":"10.1016/j.tranpol.2021.07.006","title":"Impacts of COVID-19 on urban rail transit ridership using the Synthetic Control Method","year":2021,"lang":"en","type":"article","venue":"Transport Policy","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":78,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Natural Science Foundation of China","keywords":"Coronavirus disease 2019 (COVID-19); Transport engineering; Closure (psychology); Control (management); Pandemic; China; Duration (music); Business; Geography; Medicine; Engineering; Computer science; Economics","score_opus":0.06913554672054767,"score_gpt":0.39142485055534215,"score_spread":0.3222893038347945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3182573245","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.925452,0.00061947777,0.033946253,0.027218655,0.00019500736,0.0006833356,0.00025951734,0.00014404822,0.011481714],"genre_scores_gemma":[0.99671406,0.000043913817,0.0002838277,0.0021381765,0.00036377873,0.000008265762,0.000012782843,0.000023746534,0.00041142546],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99734086,0.0005519187,0.00051071803,0.00040376914,0.00059874455,0.0005939968],"domain_scores_gemma":[0.9982435,0.00052738684,0.0001653804,0.00049801735,0.00011903346,0.00044665235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016928582,0.00022110967,0.00046090473,0.00011924854,0.00054403883,0.000034461184,0.0004430166,0.0001715716,0.0008782436],"category_scores_gemma":[0.0002944739,0.00017162273,0.00039403187,0.00088925485,0.00060544774,0.0001785087,0.0000030641008,0.0002673913,0.000005114718],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011643297,0.0012454486,0.5076549,0.00084029045,0.0005932271,0.00024767616,0.27966565,0.0027823139,0.013950425,0.18803972,0.00053152407,0.0032845237],"study_design_scores_gemma":[0.016385049,0.00066087855,0.6069303,0.00072752737,0.0035888245,0.00002908021,0.0560941,0.0006092986,0.059552837,0.06284408,0.18902162,0.0035563894],"about_ca_topic_score_codex":0.035381816,"about_ca_topic_score_gemma":0.01692028,"teacher_disagreement_score":0.22357154,"about_ca_system_score_codex":0.00018759516,"about_ca_system_score_gemma":0.0029103674,"threshold_uncertainty_score":0.9710417},"labels":[],"label_agreement":null},{"id":"W3183172466","doi":"10.1016/j.healthplace.2021.102627","title":"A qualitative exploration of the mechanisms, pathways and public health outcomes of a city centre 20mph speed limit intervention: The case of Belfast, United Kingdom","year":2021,"lang":"en","type":"article","venue":"Health & Place","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Queen's University Belfast; Public Health Research Programme; Queen's University; Department of Health and Social Care; National Institute for Health and Care Research","keywords":"Psychological intervention; Speed limit; Public health; Intervention (counseling); Enforcement; Focus group; Qualitative research; Medicine; Nursing; Psychology; Applied psychology; Public relations; Engineering; Transport engineering; Business; Political science; Sociology; Marketing","score_opus":0.23151681642816077,"score_gpt":0.4185828225932846,"score_spread":0.18706600616512384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3183172466","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9524574,0.00039627968,0.001412491,0.044876546,0.0001473806,0.0004955602,0.00013439046,0.000014893118,0.00006501316],"genre_scores_gemma":[0.9989921,0.00006380022,0.00032422095,0.0004621856,0.000016666552,0.0000041185244,0.00002488637,0.000005036414,0.00010698634],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9965596,0.0020461439,0.000647558,0.00019205842,0.0003062411,0.00024839776],"domain_scores_gemma":[0.998,0.0004944056,0.0007908715,0.00025020418,0.0003413546,0.00012313764],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003461478,0.00009245887,0.00033019745,0.00005332807,0.00045110323,0.000021787288,0.00016107153,0.00005293497,0.000068418245],"category_scores_gemma":[0.00047624393,0.00006103553,0.00010874124,0.0007474015,0.00027981802,0.0002619507,0.000050186925,0.00013987537,2.3646417e-7],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000082889026,0.00094978284,0.07323075,0.0011221453,0.00010125618,0.000013586907,0.7362359,0.000007924229,0.000046742156,0.1826097,0.00043367955,0.005165605],"study_design_scores_gemma":[0.0016436103,0.00027345735,0.07598211,0.00042860885,0.00004211103,0.0000058460687,0.90151346,0.00019710825,0.00060169306,0.017306263,0.0018123476,0.0001933838],"about_ca_topic_score_codex":0.038255047,"about_ca_topic_score_gemma":0.111867554,"teacher_disagreement_score":0.16530344,"about_ca_system_score_codex":0.00010237899,"about_ca_system_score_gemma":0.0009349497,"threshold_uncertainty_score":0.9681493},"labels":[],"label_agreement":null},{"id":"W3183390565","doi":"10.1016/j.jth.2021.101092","title":"Using environmental audits and photo-journeys to compare objective attributes and bicyclists’ perceptions of bicycle routes","year":2021,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact; The Scarborough Hospital; University of Toronto; McMaster University","funders":"","keywords":"Audit; Transport engineering; Perception; Occupational safety and health; Human factors and ergonomics; Poison control; Geography; Engineering; Environmental health; Applied psychology; Forensic engineering; Environmental planning; Psychology; Business; Medicine; Accounting","score_opus":0.04622328367125111,"score_gpt":0.34762533905092957,"score_spread":0.30140205537967846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3183390565","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99467003,0.0018205019,0.0011710017,0.0017828371,0.00013679983,0.00016212494,0.00015437315,0.000006868926,0.00009548434],"genre_scores_gemma":[0.9962016,0.00086831476,0.0025074305,0.0002198577,0.00014486637,7.71765e-7,0.000009305177,0.000009333367,0.000038535527],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99834096,0.00013432557,0.00065462093,0.00019383049,0.0003986485,0.00027759344],"domain_scores_gemma":[0.99884653,0.00007304167,0.00045099726,0.00009341553,0.00010279295,0.00043322478],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078012736,0.000121351026,0.00047613162,0.0001087432,0.00043093972,0.000025240188,0.000110729554,0.00004775119,0.00021273644],"category_scores_gemma":[0.000026997168,0.00011383055,0.00011712143,0.00024002853,0.00026258614,0.0003345787,0.000009817845,0.00022356665,4.6744873e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040132927,0.00017435633,0.9817887,0.0000614466,0.000032382428,0.000022229444,0.014221943,0.000033810542,0.002551478,0.000021677779,0.000036265243,0.00101559],"study_design_scores_gemma":[0.0003972821,0.00009052074,0.9857473,0.00014800539,0.000053806027,0.000017296,0.0122574335,0.000009253094,0.0003824348,0.00017449555,0.00061919616,0.00010300159],"about_ca_topic_score_codex":0.0019514326,"about_ca_topic_score_gemma":0.0057678777,"teacher_disagreement_score":0.003958587,"about_ca_system_score_codex":0.00016995173,"about_ca_system_score_gemma":0.00056798814,"threshold_uncertainty_score":0.46418753},"labels":[],"label_agreement":null},{"id":"W3183433860","doi":"","title":"Neighbourhood Walkability in Montreal Comparing Observational and GIS-based Measures of the Built Environment for Physical Activity","year":2010,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Walkability; Neighbourhood (mathematics); Built environment; Observational study; Physical activity; Geography; Environmental science; Engineering; Medicine; Statistics; Civil engineering; Mathematics","score_opus":0.0672376462541763,"score_gpt":0.28516914085369904,"score_spread":0.21793149459952274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3183433860","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955041,0.000008334612,0.0000017196842,0.00023447133,0.00014505301,0.00065718225,0.00022989145,0.000029227876,0.0031900257],"genre_scores_gemma":[0.9995059,0.0000021380033,0.0002758283,0.000040457453,0.00003934855,0.000062691135,0.000005727577,0.000013857546,0.000054103326],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99812114,0.00019752218,0.00028754934,0.0004691543,0.00057111017,0.00035353377],"domain_scores_gemma":[0.99881774,0.00042318125,0.00018912535,0.00034084066,0.000088749206,0.0001403788],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001365931,0.00018911676,0.00032971933,0.000040685452,0.00080185686,0.00003389248,0.00042415975,0.00015846494,0.000046048837],"category_scores_gemma":[0.00049379,0.00015619994,0.00018154553,0.00020084587,0.00049105956,0.0005154784,0.000070369155,0.00053821795,0.0000015267613],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002256006,0.0011225602,0.8336065,0.00006241146,0.000023960989,5.8991446e-7,0.00006818499,0.00008539366,0.05260596,0.02217048,4.937884e-7,0.090027906],"study_design_scores_gemma":[0.0006970143,0.000030603125,0.9514853,0.00001590897,0.000028787987,7.13877e-8,0.0000483771,0.00022494125,0.02077834,0.025453726,0.0010671978,0.00016973514],"about_ca_topic_score_codex":0.00823547,"about_ca_topic_score_gemma":0.10388826,"teacher_disagreement_score":0.11787884,"about_ca_system_score_codex":0.00017169987,"about_ca_system_score_gemma":0.00005521162,"threshold_uncertainty_score":0.9983688},"labels":[],"label_agreement":null},{"id":"W3184193088","doi":"10.1016/j.socscimed.2021.114237","title":"Living the journey to school: Conceptual asymmetry between parents and planners on the journey to school","year":2021,"lang":"en","type":"article","venue":"Social Science & Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Vancouver Coastal Health Research Institute; Vancouver Coastal Health; Holland Bloorview Kids Rehabilitation Hospital; University of British Columbia; Public Health Ontario; Toronto Rehabilitation Institute; General Electric (Canada); Toronto Metropolitan University; University of Toronto","funders":"Canadian Institutes of Health Research; Heart and Stroke Foundation of Canada","keywords":"Sociology; Psychology; Economic growth; Economics","score_opus":0.07541238349758608,"score_gpt":0.3714108826658918,"score_spread":0.2959984991683057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3184193088","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9030446,0.00016438053,0.00007030478,0.07358998,0.00081632304,0.00035234442,0.000009682614,0.000039827017,0.021912599],"genre_scores_gemma":[0.9875719,0.000024213507,0.000014375335,0.008240683,0.0031722821,0.000013044964,0.000001916379,0.000008716217,0.0009528798],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9963179,0.00036881113,0.00034832035,0.0005171053,0.0017124644,0.00073538744],"domain_scores_gemma":[0.9976631,0.00068874256,0.00012160576,0.00026472306,0.00030091478,0.000960959],"candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0057150507,0.00017325698,0.00029279813,0.00010031558,0.0039081336,0.0003098789,0.0011133943,0.00009262581,0.00088809483],"category_scores_gemma":[0.0068419813,0.00009816406,0.000062334344,0.0023276208,0.0031051917,0.00036596425,0.00013462723,0.00054718397,0.000051129413],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000114789955,0.000028587529,0.87331647,0.0000032314401,0.000016125743,0.000007771208,0.099342175,0.0000011880028,0.00030893582,0.0033192646,0.018938437,0.004706326],"study_design_scores_gemma":[0.00020824897,0.000098374614,0.82341266,0.00018222225,0.000041420502,4.4298042e-7,0.1480041,0.000001314127,0.00009019126,0.0011174842,0.026648756,0.00019480317],"about_ca_topic_score_codex":0.0018159731,"about_ca_topic_score_gemma":0.0015514907,"teacher_disagreement_score":0.084527336,"about_ca_system_score_codex":0.00026041674,"about_ca_system_score_gemma":0.0010590357,"threshold_uncertainty_score":0.9996078},"labels":[],"label_agreement":null},{"id":"W3185055945","doi":"10.3390/land10080778","title":"Satisfaction with Selected Indicators of the Quality of Urban Space by Polonia in the Greater Toronto Area","year":2021,"lang":"en","type":"article","venue":"Land","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Residence; Recreation; Tourism; Geography; Quality of life (healthcare); Standard of living; Socioeconomics; Quality (philosophy); Psychology; Demography; Sociology; Political science","score_opus":0.013600531683894315,"score_gpt":0.2809772602408468,"score_spread":0.2673767285569525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3185055945","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976236,0.0001281847,0.000005041024,0.00055355625,0.00002384968,0.00009031067,0.00001693525,0.000004751854,0.001553744],"genre_scores_gemma":[0.9997591,0.000006018792,0.000009453819,0.00002651976,0.000013309063,0.00000237358,0.0000037597792,0.0000017075258,0.00017776027],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992812,0.00021441729,0.00011611286,0.00008746618,0.00021567372,0.00008507703],"domain_scores_gemma":[0.99967563,0.000046909932,0.000087947665,0.00013679208,0.000038343853,0.000014386429],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030659346,0.000038210896,0.000095597185,0.00000571266,0.000067851455,0.000009930602,0.00010306801,0.000039740196,0.000113107104],"category_scores_gemma":[0.00003161278,0.000019126286,0.00002074465,0.0002920284,0.00012719606,0.00007230934,0.000005259735,0.000054344142,1.2865578e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017326669,0.00002371876,0.9883727,0.000007755076,0.000006571677,2.7862478e-7,0.010897011,1.6606637e-7,0.00038331054,0.00008561129,0.00013840962,0.00006713249],"study_design_scores_gemma":[0.00014836925,0.000009470204,0.99685913,0.0000088774705,0.000008027393,5.0908753e-8,0.0014165873,2.0410435e-7,0.0011995551,0.000051634157,0.00026926692,0.000028839188],"about_ca_topic_score_codex":0.16777456,"about_ca_topic_score_gemma":0.7608774,"teacher_disagreement_score":0.5931028,"about_ca_system_score_codex":0.0000305925,"about_ca_system_score_gemma":0.00009163715,"threshold_uncertainty_score":0.8377673},"labels":[],"label_agreement":null},{"id":"W3185486019","doi":"10.82308/7503","title":"One size does not fit all: Evaluating the impact of accessibility on commute duration and public transport mode share for different income groups in Canadian metropolitan regions","year":2020,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Polytechnique Montréal; Social Sciences and Humanities Research Council of Canada; McGill University","keywords":"Metropolitan area; Duration (music); Public transport; Demographic economics; Mode (computer interface); Geography; Economics; Transport engineering; Computer science; Engineering","score_opus":0.10336487908222151,"score_gpt":0.3573402361566263,"score_spread":0.2539753570744048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3185486019","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99087495,0.00003247646,0.0000012481684,0.0029636293,0.00007583529,0.0013683601,0.0033518148,0.00006749734,0.0012641756],"genre_scores_gemma":[0.9991039,0.000027278551,0.00011603571,0.00042076668,0.000047353376,0.00011956527,0.00010588582,0.00003388412,0.00002531959],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99631387,0.0006544982,0.0009213713,0.00069016026,0.000607219,0.00081287714],"domain_scores_gemma":[0.9971978,0.00091638544,0.00035484266,0.0004979442,0.00027067837,0.0007623639],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0022494553,0.00032729984,0.0005643647,0.00014218001,0.0014845211,0.000117082796,0.0007954912,0.00023716761,0.00014733474],"category_scores_gemma":[0.0025226418,0.00022794538,0.0003056217,0.00062663853,0.000312159,0.0011539377,0.000049830924,0.0006107139,0.0000011140712],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006096404,0.00050912914,0.8898472,0.00024334413,0.0002182224,0.0000050225894,0.0008048849,0.00005501238,0.0076948446,0.091390505,0.0000012902149,0.008620877],"study_design_scores_gemma":[0.0010000854,0.00036016485,0.961745,0.00008099196,0.00008804975,1.6089406e-7,0.00096344,0.00055709766,0.0014047537,0.03331587,0.00012110671,0.00036325524],"about_ca_topic_score_codex":0.38148642,"about_ca_topic_score_gemma":0.8843272,"teacher_disagreement_score":0.50284076,"about_ca_system_score_codex":0.0017949286,"about_ca_system_score_gemma":0.00025887456,"threshold_uncertainty_score":0.9998154},"labels":[],"label_agreement":null},{"id":"W3186541905","doi":"10.1007/s11116-021-10209-0","title":"Do frequent satisfying trips by public transport impact its intended use in later life?","year":2021,"lang":"en","type":"article","venue":"Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval; Polytechnique Montréal","funders":"Engineering and Physical Sciences Research Council","keywords":"TRIPS architecture; Public transport; Mode choice; Affect (linguistics); Travel behavior; Mode (computer interface); Mode of transport; Life satisfaction; Travel survey; Psychology; Transport engineering; Business; Demographic economics; Marketing; Public economics; Social psychology; Engineering; Economics; Computer science","score_opus":0.06312089846681045,"score_gpt":0.32765503151408615,"score_spread":0.2645341330472757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3186541905","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963627,0.0007272879,0.00041122307,0.00085364265,0.00020419598,0.00033707716,0.0001707918,0.000113884504,0.00081922754],"genre_scores_gemma":[0.9980324,0.00021319641,0.00013524794,0.00018034861,0.000058655216,0.000030741397,0.0009149897,0.000023088669,0.00041132694],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997705,0.0001470842,0.0006429795,0.000491598,0.00051800016,0.0004953773],"domain_scores_gemma":[0.9990793,0.000073984025,0.000123266,0.00021114,0.0002230185,0.00028929324],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004985689,0.00020713043,0.00031573934,0.0001285332,0.0002024733,0.00014056225,0.00019671093,0.00020682823,0.0017992979],"category_scores_gemma":[0.00008242564,0.00020442384,0.00020477554,0.00084323966,0.000105086416,0.0016965821,0.0000011867934,0.00027635688,0.000016531752],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046434867,0.00017958751,0.98424006,0.000040084302,0.0000314296,0.00006727516,0.011567476,0.00002139368,0.0019253918,0.0007893565,0.00013474267,0.0009567894],"study_design_scores_gemma":[0.00080179743,0.000017704959,0.9934926,0.000044284934,0.00003875528,1.4412488e-7,0.0015619915,0.0000144153355,0.0011988848,0.00059895474,0.0019714292,0.00025902223],"about_ca_topic_score_codex":0.0038948779,"about_ca_topic_score_gemma":0.10447906,"teacher_disagreement_score":0.10058419,"about_ca_system_score_codex":0.00016787235,"about_ca_system_score_gemma":0.0005555458,"threshold_uncertainty_score":0.9991132},"labels":[],"label_agreement":null},{"id":"W3186598258","doi":"10.1155/2021/5584008","title":"Assessing Accessibility of Dockless Sharing-Bike Networks by the Social Network Analysis Method","year":2021,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Natural Science Research of Jiangsu Higher Education Institutions of China; Nanjing Forestry University","keywords":"Bike sharing; Transport engineering; Computer science; Construct (python library); Social network analysis; Social network (sociolinguistics); Engineering; Computer network","score_opus":0.027344760676511138,"score_gpt":0.38575322029461984,"score_spread":0.3584084596181087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3186598258","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80398643,0.0009139118,0.19392918,0.00044001374,0.00036600934,0.000093847026,0.000011392628,0.000012795583,0.00024644306],"genre_scores_gemma":[0.99260867,0.000109841836,0.006646055,0.000071774724,0.00043983193,0.0000026106654,0.000054379037,0.00001011759,0.000056745674],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973481,0.00032799336,0.0010844582,0.00026914754,0.00066983484,0.00030041207],"domain_scores_gemma":[0.9973189,0.00030213347,0.0012895789,0.00018932436,0.0008055357,0.00009449633],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024937242,0.00013897903,0.0005437047,0.0000658865,0.0006119177,0.0001391351,0.00044008676,0.00013709864,0.00014262566],"category_scores_gemma":[0.000065255816,0.0001091785,0.0005478034,0.001986223,0.00018784495,0.0013923491,0.000005246173,0.00038546434,1.0585277e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015640745,0.00021621145,0.79478186,0.000043252792,0.00059363514,0.000020285599,0.010082357,0.17035273,0.00066276744,0.00089811865,0.000098484576,0.022093883],"study_design_scores_gemma":[0.0004362092,0.000015855301,0.986853,0.000037401293,0.001092796,3.2269233e-7,0.0064559607,0.00029283878,0.00043304692,0.003718517,0.00053202844,0.00013202777],"about_ca_topic_score_codex":0.00018269621,"about_ca_topic_score_gemma":0.0043027713,"teacher_disagreement_score":0.19207112,"about_ca_system_score_codex":0.00008200686,"about_ca_system_score_gemma":0.00025722006,"threshold_uncertainty_score":0.47064382},"labels":[],"label_agreement":null},{"id":"W3186974633","doi":"10.1080/24694452.2021.1930513","title":"Comparing Household and Individual Measures of Access through a Food Environment Lens: What Household Food Opportunities Are Missed When Measuring Access to Food Retail at the Individual Level?","year":2021,"lang":"en","type":"article","venue":"Annals of the American Association of Geographers","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University; Western University; Concordia University; The Scarborough Hospital; University of Waterloo; University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; Canada Excellence Research Chairs, Government of Canada","keywords":"Business; Marketing; Physical access; Demographic economics; Economics","score_opus":0.7652218075562768,"score_gpt":0.3215133655571798,"score_spread":0.443708441999097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3186974633","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98515445,0.0020882385,0.000023542329,0.011162795,0.00012128682,0.00046541652,0.0006339733,0.000032644846,0.00031765449],"genre_scores_gemma":[0.9959521,0.0020564299,0.00007701008,0.0017358011,0.000045174682,0.000028657041,0.000016568136,0.000025768497,0.00006243148],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99573,0.00073810434,0.0007264183,0.00041623678,0.0019039765,0.00048528466],"domain_scores_gemma":[0.9963339,0.00042508543,0.0022790586,0.0005276747,0.00031565106,0.000118618074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021029413,0.00025428622,0.0007189106,0.00012064282,0.000568497,0.00036202194,0.001440056,0.0001045941,0.000029772149],"category_scores_gemma":[0.0003707924,0.00020424672,0.00038672704,0.000790321,0.0010095158,0.0013869298,0.0005654033,0.00022252765,1.5754296e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005794529,0.0001564652,0.98286134,0.00004735903,0.0010686604,4.3944368e-7,0.011648457,0.00026309895,0.00007591892,0.000059425463,0.0013665062,0.0023944015],"study_design_scores_gemma":[0.00036639444,0.00019055414,0.9601487,0.00017880225,0.0002464409,1.7144347e-7,0.026946886,5.861438e-7,0.009307202,0.0006065002,0.001771914,0.000235849],"about_ca_topic_score_codex":0.0020381794,"about_ca_topic_score_gemma":0.012284098,"teacher_disagreement_score":0.022712622,"about_ca_system_score_codex":0.00007768217,"about_ca_system_score_gemma":0.00019544977,"threshold_uncertainty_score":0.83289397},"labels":[{"model":"gpt","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"grok","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"opus","categories":[],"domain":null,"study_design":"observational","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"low"}],"label_agreement":"agree"},{"id":"W3187313307","doi":"10.11575/prism/3645","title":"Policies to promote sustainable transportation in Calgary","year":2010,"lang":"en","type":"dissertation","venue":"PRISM (University of Calgary)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sustainable transport; Environmental planning; Transport engineering; Business; Geography; Engineering; Sustainability; Biology","score_opus":0.007909420888815046,"score_gpt":0.24355500283442677,"score_spread":0.23564558194561172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3187313307","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9478526,0.00008675476,0.00093396,0.00034645593,0.0001886738,0.00075150665,0.0000018172619,0.000057923804,0.04978029],"genre_scores_gemma":[0.8539648,0.000107708154,0.00584151,0.000045607507,0.00004884529,0.0000036131885,0.00073711935,0.00003147409,0.13921931],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99850595,0.000055822908,0.00021962219,0.00036124373,0.00044074818,0.00041662806],"domain_scores_gemma":[0.9991898,0.000025508647,0.00018781601,0.0002110351,0.0002042123,0.00018166339],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038695065,0.00017439977,0.00035930873,0.0003845958,0.00036279357,0.000023334711,0.00052027125,0.0005344809,0.00040652946],"category_scores_gemma":[0.00003828698,0.00023182042,0.00014830001,0.0005291648,0.00015358273,0.00041180002,0.00000915353,0.00047351312,0.000012417213],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010350872,0.0007443294,0.12790725,0.0014231014,0.000094631185,0.0004368546,0.6233376,0.000001110652,0.0017560249,0.024742229,0.0016108698,0.2169109],"study_design_scores_gemma":[0.0004623864,0.000053396827,0.9124492,0.00011895743,0.00009200704,3.5453763e-8,0.014572557,0.00004359486,0.0002720462,0.0029036757,0.068625815,0.00040631657],"about_ca_topic_score_codex":0.18340343,"about_ca_topic_score_gemma":0.20295064,"teacher_disagreement_score":0.78454196,"about_ca_system_score_codex":0.00014013035,"about_ca_system_score_gemma":0.000599043,"threshold_uncertainty_score":0.9453362},"labels":[],"label_agreement":null},{"id":"W3187518190","doi":"10.1155/2021/4959504","title":"A Spatiotemporal Prediction Model for Regional Scheduling of Shared Bicycles Based on the INLA Method","year":2021,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Research and Development; National Key Research and Development Program of China","keywords":"Computer science; Renting; Scheduling (production processes); TRIPS architecture; Bayesian probability; Laplace's method; Operations research; Transport engineering; Mathematical optimization; Artificial intelligence; Engineering; Mathematics","score_opus":0.05190167133749512,"score_gpt":0.3487972257482304,"score_spread":0.2968955544107353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3187518190","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6092341,0.000071319926,0.38843107,0.0018480811,0.00012957123,0.0001629071,0.000068376525,0.000008542916,0.000046060493],"genre_scores_gemma":[0.8678307,0.000025092782,0.13182652,0.00011352178,0.00011077436,0.000007955065,0.00005689502,0.0000075755174,0.000020985937],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99865437,0.00008266717,0.0005499321,0.00012875148,0.00046703697,0.00011725525],"domain_scores_gemma":[0.9983419,0.00029605202,0.00053858,0.0000941359,0.0006749541,0.000054367574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008790474,0.00007883078,0.00018554434,0.00007245142,0.00018352809,0.000017684235,0.00012311806,0.00007010712,0.000027693797],"category_scores_gemma":[0.00013514597,0.00006136588,0.00021465405,0.00024883437,0.00006768824,0.00045665103,5.147585e-7,0.00014156886,8.9793076e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00078663946,0.000258305,0.036216453,0.00009003031,0.000045148758,0.000004911088,0.009817467,0.9345,0.008938505,0.0047296076,0.000051515686,0.0045614205],"study_design_scores_gemma":[0.0036163179,0.00033531635,0.7142654,0.00067780964,0.00031095237,7.3164085e-7,0.009195009,0.21734789,0.013092489,0.0397733,0.0010942211,0.0002905584],"about_ca_topic_score_codex":0.000024309744,"about_ca_topic_score_gemma":0.00055357104,"teacher_disagreement_score":0.7171521,"about_ca_system_score_codex":0.000045777284,"about_ca_system_score_gemma":0.00049836974,"threshold_uncertainty_score":0.2502428},"labels":[],"label_agreement":null},{"id":"W3187543144","doi":"10.3390/ijgi10080517","title":"Smartphone GPS Locations of Students’ Movements to and from Campus","year":2021,"lang":"en","type":"article","venue":"ISPRS International Journal of Geo-Information","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia; Alberta Children's Hospital; University of Victoria; University of Calgary","funders":"","keywords":"University campus; Global Positioning System; Geography; Psychology; Medical education; Applied psychology; Computer science; Medicine; Library science","score_opus":0.009312491211955135,"score_gpt":0.31419823909140404,"score_spread":0.3048857478794489,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3187543144","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98618823,0.000065031294,0.008852529,0.0016048957,0.0010987318,0.00007631306,0.00007226768,0.0000055322685,0.0020364495],"genre_scores_gemma":[0.9979271,0.000081128324,0.0010956884,0.0005765386,0.00015657661,0.000001560007,0.000050125498,0.000001736407,0.00010951531],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983946,0.000035173947,0.00055133924,0.00004976214,0.0008836046,0.000085531334],"domain_scores_gemma":[0.9981378,0.000056310753,0.0003982946,0.00006964051,0.0012441573,0.000093826835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004004473,0.00005584895,0.00011687139,0.00013913574,0.00009029243,0.00014946064,0.0003291702,0.00004234256,0.0002722881],"category_scores_gemma":[0.00023681467,0.00005428935,0.00005534476,0.00012806957,0.00005138602,0.0019232791,0.000044465996,0.00008485214,0.00001543944],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001071574,0.0001594771,0.9474854,0.000010882297,0.00020670427,0.0000069029384,0.019050334,0.00011288607,0.00036065665,0.001442726,0.0010586507,0.029998263],"study_design_scores_gemma":[0.000772214,0.000030286687,0.9625589,0.00008112366,0.000022408227,0.000001643999,0.0056617237,0.000023868432,0.0016523317,0.0020654916,0.027049458,0.00008055374],"about_ca_topic_score_codex":0.0012246948,"about_ca_topic_score_gemma":0.00062073406,"teacher_disagreement_score":0.02991771,"about_ca_system_score_codex":0.00010289507,"about_ca_system_score_gemma":0.0002042095,"threshold_uncertainty_score":0.29813635},"labels":[],"label_agreement":null},{"id":"W3187845984","doi":"10.1109/tits.2021.3097240","title":"Short-Term Forecast of Bicycle Usage in Bike Sharing Systems: A Spatial-Temporal Memory Network","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Intelligent Transportation Systems","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Hong Kong Polytechnic University; National Natural Science Foundation of China","keywords":"Bike sharing; Computer science; Robustness (evolution); Task (project management); Feature engineering; Machine learning; Data mining; Real-time computing; Deep learning; Transport engineering; Engineering","score_opus":0.0511023960503229,"score_gpt":0.3070827852640103,"score_spread":0.2559803892136874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3187845984","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6590778,0.00054640806,0.3356007,0.000032500462,0.0026862507,0.0008548984,0.0001580284,0.00011307481,0.0009303199],"genre_scores_gemma":[0.99815255,0.00016436378,0.000065837674,0.000013057904,0.00021643483,0.00018760387,0.000087951055,0.000040122413,0.0010720731],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9961602,0.000273488,0.0015489989,0.0006682667,0.0007998808,0.00054918055],"domain_scores_gemma":[0.998601,0.00016990864,0.00025491102,0.00045019088,0.00031281434,0.0002111466],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010613045,0.00029856563,0.0006338195,0.00027821088,0.0003454685,0.00012824932,0.00035258834,0.0002787023,0.00025859787],"category_scores_gemma":[0.0000055295177,0.00032310578,0.00031682974,0.0011628228,0.0001911143,0.00044681403,5.68561e-7,0.00035013343,0.000017393242],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002745823,0.0010886646,0.6367399,0.0010808923,0.00024055221,0.0001931821,0.022326536,0.32714295,0.00076542643,0.0008716244,0.00003978323,0.009235901],"study_design_scores_gemma":[0.004699586,0.0007265647,0.7709793,0.010438861,0.001298945,0.000021268992,0.10679043,0.035877816,0.056239575,0.00074555445,0.007291082,0.0048910235],"about_ca_topic_score_codex":0.02293918,"about_ca_topic_score_gemma":0.10891054,"teacher_disagreement_score":0.33907476,"about_ca_system_score_codex":0.00021896113,"about_ca_system_score_gemma":0.0002720029,"threshold_uncertainty_score":0.9999221},"labels":[],"label_agreement":null},{"id":"W3187907429","doi":"10.1016/j.healthplace.2021.102646","title":"Wave 1 results of the INTerventions, Research, and Action in Cities Team (INTERACT) cohort study: Examining spatio-temporal measures for urban environments and health","year":2021,"lang":"en","type":"article","venue":"Health & Place","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University; University of Saskatchewan; Centre Hospitalier de l’Université de Montréal; Memorial University of Newfoundland","funders":"Canadian Institutes of Health Research","keywords":"Psychological intervention; Social connectedness; Built environment; Cohort; Geography; Census; Population; Psychology; Environmental health; Applied psychology; Gerontology; Medicine; Social psychology; Engineering; Nursing","score_opus":0.27025746283819657,"score_gpt":0.4477375069472473,"score_spread":0.17748004410905072,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3187907429","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99341786,0.001387909,0.00005222123,0.003398426,0.00014568481,0.0013506616,0.000041616942,0.000008490561,0.00019712854],"genre_scores_gemma":[0.99785316,0.0004206632,0.00015239982,0.000078727564,0.000050634255,0.000054815086,0.000027919496,0.0000060501507,0.0013556195],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99763083,0.00085985824,0.00050274323,0.00030612794,0.00041642867,0.0002839851],"domain_scores_gemma":[0.99915195,0.00029174794,0.00022905892,0.00017076479,0.000054741282,0.000101745936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0069627613,0.000071419374,0.00022319003,0.00006468688,0.0006025268,0.000043724183,0.00008273568,0.00004182587,0.000009069145],"category_scores_gemma":[0.0003049278,0.00006162859,0.000029199386,0.00018484729,0.00022605994,0.00017929172,0.000045249024,0.00020760536,1.7880426e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001202493,0.00022176317,0.9712762,0.00018220741,0.000009731006,5.6754874e-7,0.021824222,8.9348435e-7,0.0000024020164,0.000043536016,0.0021244949,0.0041936827],"study_design_scores_gemma":[0.0006689195,0.00027163987,0.9587958,0.00026736688,0.0000037331722,2.497275e-7,0.032361597,0.00002070161,0.00002090088,0.00013393567,0.0074086995,0.000046453788],"about_ca_topic_score_codex":0.028402824,"about_ca_topic_score_gemma":0.2974557,"teacher_disagreement_score":0.26905286,"about_ca_system_score_codex":0.00031497475,"about_ca_system_score_gemma":0.0005066901,"threshold_uncertainty_score":0.9780671},"labels":[],"label_agreement":null},{"id":"W3189650652","doi":"10.5198/jtlu.2021.1742","title":"Planning a high-frequency transfer-based bus network: How do we get there?","year":2021,"lang":"en","type":"article","venue":"Journal of Transport and Land Use","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University; University of Alberta","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Transport engineering; Public transport; Transit (satellite); Process (computing); Bus network; Network planning and design; Transportation planning; Transfer (computing); Grid; Service (business); Bus rapid transit; Computer science; Telecommunications; Engineering; Business; System bus","score_opus":0.034890514483810024,"score_gpt":0.275083197224139,"score_spread":0.24019268274032896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3189650652","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9856928,0.006797669,0.0020831805,0.004605297,0.00038482205,0.000080165984,0.000026959648,0.000021356926,0.00030775814],"genre_scores_gemma":[0.9965339,0.0015852491,0.0008519104,0.00015473856,0.0005949716,0.000001247571,0.000011189965,0.000013257005,0.00025357335],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99856246,0.00009961021,0.00038209505,0.00018810177,0.0004196062,0.00034815687],"domain_scores_gemma":[0.9992098,0.000118233824,0.00011579522,0.00012624204,0.00018803499,0.00024188489],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064906955,0.00015389391,0.00037047014,0.00005655133,0.0003065944,0.00015296649,0.0001799297,0.00014706413,0.0002769428],"category_scores_gemma":[0.000015932203,0.000117506155,0.00020858094,0.00024729597,0.0001366547,0.00056796276,0.0000019288186,0.00032680013,4.046196e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012648353,0.000096070005,0.99464643,0.000042682546,0.00006189768,0.0008164059,0.0023824428,0.00015063351,0.000088222434,0.00041251225,0.00012434347,0.0010518569],"study_design_scores_gemma":[0.0014862918,0.00008465814,0.9686121,0.000328851,0.00021501344,0.000008619281,0.0005093141,0.0000069583593,0.0001249109,0.0022741237,0.0261131,0.00023606907],"about_ca_topic_score_codex":0.00051643845,"about_ca_topic_score_gemma":0.004079505,"teacher_disagreement_score":0.026034359,"about_ca_system_score_codex":0.000022413838,"about_ca_system_score_gemma":0.00037639547,"threshold_uncertainty_score":0.4791762},"labels":[],"label_agreement":null},{"id":"W3190187243","doi":"10.1155/2021/4928982","title":"Impact of Shared Bus on Campus Travel and Space Optimization Based on Activity Travel Behavior","year":2021,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Key Research and Development Program of China; Science and Technology Support Program of Jiangsu Province; Government of Jiangsu Province; Six Talent Peaks Project in Jiangsu Province; National Natural Science Foundation of China","keywords":"Preference; Travel behavior; Computer science; Space (punctuation); Travel survey; Transport engineering; Travel time; Order (exchange); Cluster analysis; Operations research; Engineering; Mathematics; Statistics; Business; Machine learning","score_opus":0.016665425039676312,"score_gpt":0.3180823789391033,"score_spread":0.30141695389942696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3190187243","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9867732,0.00004756452,0.0123065,0.0001871988,0.00016798583,0.00017774734,0.00008556386,0.0000075067283,0.00024674932],"genre_scores_gemma":[0.9955717,0.000075708296,0.004189849,0.000017596089,0.000059280028,0.0000032134521,0.00003820283,0.000011572528,0.000032901156],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99870825,0.00007867923,0.00038869004,0.00018175274,0.00048188775,0.0001607401],"domain_scores_gemma":[0.99875045,0.00010798948,0.0005083047,0.000106047555,0.00039376484,0.0001334484],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026882646,0.00013069932,0.00029931642,0.0001172849,0.0001245593,0.000025285777,0.00008348235,0.000099486955,0.00013673237],"category_scores_gemma":[0.00006266275,0.000116777665,0.00020691006,0.00031475187,0.00008780741,0.0005622838,4.828166e-7,0.00019959958,1.8872323e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021219451,0.001682495,0.37850526,0.00007375039,0.0000636112,0.00013249286,0.008095681,0.56633395,0.030648492,0.00017237598,0.000011324694,0.012158629],"study_design_scores_gemma":[0.0013857466,0.0004343066,0.99175996,0.000099777986,0.00010131606,6.2254e-7,0.0007339361,0.00035226071,0.0049483455,0.000066202076,0.0000052365904,0.00011231894],"about_ca_topic_score_codex":0.0001612594,"about_ca_topic_score_gemma":0.0006420332,"teacher_disagreement_score":0.61325467,"about_ca_system_score_codex":0.00011237195,"about_ca_system_score_gemma":0.00039258416,"threshold_uncertainty_score":0.4762055},"labels":[],"label_agreement":null},{"id":"W3190999465","doi":"","title":"Population Density or Populations Size. Which Factor Determines Urban Traffic Congestion","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Population density; Population; Population size; Traffic congestion; Geography; Regression analysis; Economic geography; Demography; Demographic economics; Econometrics; Statistics; Transport engineering; Economics; Mathematics; Engineering; Sociology","score_opus":0.029249365202561002,"score_gpt":0.3123900998957915,"score_spread":0.2831407346932305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3190999465","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968138,0.00056273094,0.00044813083,0.0012438719,0.0005235241,0.0001240734,0.0000052406863,0.00007684437,0.00020178636],"genre_scores_gemma":[0.9955263,0.00035682222,0.00013116223,0.00004138488,0.0006642967,0.0000026371115,0.000027128961,0.0000133540325,0.0032368843],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975058,0.00025566114,0.0003475756,0.0002519427,0.00040286392,0.0012361513],"domain_scores_gemma":[0.99908316,0.0001021621,0.00017504356,0.00014645331,0.00035886216,0.00013430224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088478875,0.00013374999,0.0002029049,0.000052497926,0.0010331128,0.00016185515,0.000177805,0.00014403473,0.0003495107],"category_scores_gemma":[0.0006666153,0.00011704955,0.00011391185,0.00051993225,0.000054304674,0.0005800254,0.000010437192,0.0008011989,0.00000960072],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006994159,0.00012472639,0.9698349,0.0000073449796,0.00004417824,0.000012024406,0.0014406177,0.00007763617,0.00016190032,0.011075942,0.00005496012,0.017095793],"study_design_scores_gemma":[0.00040307082,0.0000590327,0.96975684,0.000019640054,0.00006696326,0.00003292743,0.0019163883,0.00006120078,0.00003610689,0.026858794,0.0005738318,0.00021519988],"about_ca_topic_score_codex":0.0009320536,"about_ca_topic_score_gemma":0.4136265,"teacher_disagreement_score":0.41269442,"about_ca_system_score_codex":0.00080862123,"about_ca_system_score_gemma":0.0028398382,"threshold_uncertainty_score":0.7945972},"labels":[],"label_agreement":null},{"id":"W3191012384","doi":"10.21203/rs.3.rs-775083/v1","title":"ALF-Score: Network-Based Walkability","year":2021,"lang":"en","type":"preprint","venue":"Research Square","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; Memorial University of Newfoundland","funders":"","keywords":"Walkability; Computer science; Built environment; Consistency (knowledge bases); Feature (linguistics); Artificial intelligence; Data mining; Transport engineering; Engineering; Civil engineering","score_opus":0.1253306274793148,"score_gpt":0.44234533817552596,"score_spread":0.3170147106962111,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3191012384","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9581936,0.0031847875,0.0005225517,0.004121482,0.0010816401,0.0020131886,0.0000961279,0.00030613432,0.03048046],"genre_scores_gemma":[0.99554074,0.00019584828,0.0005949345,0.00007724574,0.001661317,0.00023390105,0.0003823114,0.000034015728,0.0012796886],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9910912,0.0028090691,0.000499012,0.0012726928,0.0028091127,0.0015189397],"domain_scores_gemma":[0.99537605,0.0009148649,0.00011714572,0.0014925132,0.0015691738,0.00053025596],"candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.010023808,0.00028133416,0.0005255506,0.00014884185,0.0013715216,0.00076534296,0.0013986719,0.0007860484,0.0041273325],"category_scores_gemma":[0.0012741287,0.00027915507,0.00046285018,0.0012182735,0.001391639,0.00019748701,0.0006370291,0.0028235111,0.000056789213],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000708481,0.00039006767,0.9831135,0.0011447524,0.000040547846,0.00009659752,0.0026137317,0.0006075109,0.000008003745,0.00067680335,0.004780162,0.006457427],"study_design_scores_gemma":[0.00039136005,0.000084743784,0.9117677,0.00148143,0.00004293196,8.923797e-8,0.0028816226,0.00048416824,0.00018967783,0.023497092,0.058342535,0.00083663437],"about_ca_topic_score_codex":0.020715125,"about_ca_topic_score_gemma":0.045052197,"teacher_disagreement_score":0.071345836,"about_ca_system_score_codex":0.000756844,"about_ca_system_score_gemma":0.0055540106,"threshold_uncertainty_score":0.9999661},"labels":[],"label_agreement":null},{"id":"W3192144090","doi":"10.1080/03081060.2021.1956806","title":"Modeling the impacts of electric bicycle purchase incentive program designs","year":2021,"lang":"en","type":"article","venue":"Transportation Planning and Technology","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Incentive; Revenue; Incentive program; Yield (engineering); Business; Key (lock); Marketing; Environmental economics; Transport engineering; Public economics; Economics; Microeconomics; Finance; Computer science; Computer security; Engineering","score_opus":0.032345701021934035,"score_gpt":0.33140914282955136,"score_spread":0.29906344180761735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3192144090","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9935294,0.0014370236,0.0034787592,0.0009034698,0.000030144969,0.00018101651,0.00000739916,0.00015928765,0.00027349967],"genre_scores_gemma":[0.99925643,0.0000706256,0.0005681512,0.000018128965,0.000013550564,0.000018854722,0.000025950267,0.000004919536,0.000023413093],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992645,0.000032995504,0.0001988475,0.00017055005,0.00013108992,0.00020206496],"domain_scores_gemma":[0.99962366,0.000036894846,0.00006276709,0.000101065496,0.00013856353,0.00003705784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002163894,0.00006777338,0.00012465194,0.000098524586,0.00027623712,0.000017261791,0.00010723641,0.00012170549,0.000014760148],"category_scores_gemma":[0.000042936714,0.00005512969,0.000029377989,0.000862131,0.00019813477,0.00010483147,0.000002046486,0.00015431055,4.58667e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044123823,0.00020791752,0.93783,0.000049460683,0.000051933683,0.000046091558,0.015750395,0.0004046023,0.0069390708,0.012802089,0.000010029684,0.025864327],"study_design_scores_gemma":[0.0022223354,0.0005184481,0.780231,0.00033752582,0.00042890635,0.000004694789,0.05858642,0.012124087,0.08378778,0.05875291,0.0021563978,0.00084950577],"about_ca_topic_score_codex":0.000491871,"about_ca_topic_score_gemma":0.00075983885,"teacher_disagreement_score":0.15759897,"about_ca_system_score_codex":0.000011347831,"about_ca_system_score_gemma":0.00017733278,"threshold_uncertainty_score":0.22481236},"labels":[],"label_agreement":null},{"id":"W3192213121","doi":"10.3390/ijerph18158127","title":"Forecasting Diabetes Cases Prevented and Cost Savings Associated with Population Increases of Walking in the Greater Toronto and Hamilton Area, Canada","year":2021,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"St. Michael's Hospital; Trillium Health Centre; Public Health Ontario; University of Toronto","funders":"University of Toronto; Canada Research Chairs; Diabetes Action Research and Education Foundation","keywords":"Diabetes mellitus; Gerontology; Population; Demography; Medicine; Economics; Geography; Demographic economics; Physical medicine and rehabilitation; Environmental health; Sociology; Endocrinology","score_opus":0.07628914308418554,"score_gpt":0.3455674000665847,"score_spread":0.26927825698239916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3192213121","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969305,0.0010385606,0.0000016896946,0.0017871427,0.00001842544,0.00009733931,0.00004342281,6.7943245e-7,0.00008226978],"genre_scores_gemma":[0.9992125,0.000573281,0.000020170339,0.00010804273,0.000034032528,0.0000020205312,0.000024643723,0.000002520323,0.000022758028],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983978,0.00035142506,0.00023955625,0.00009181333,0.0007246309,0.00019473757],"domain_scores_gemma":[0.99905956,0.0005422991,0.0001545749,0.000032302785,0.00008010249,0.00013116674],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020281065,0.00004530889,0.0001092001,0.000045248566,0.0001715377,0.00008490142,0.0000985395,0.000021342796,0.000052127187],"category_scores_gemma":[0.00049599307,0.0000318218,0.0000103623415,0.00006545777,0.00016688887,0.0003816962,0.000025638763,0.00012908857,5.994308e-9],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020599336,0.00010359237,0.98651934,0.0000073291053,0.000021685893,0.000036379362,0.0019282497,2.9939352e-7,0.000021421094,0.000020376629,0.00002060756,0.01130015],"study_design_scores_gemma":[0.00029639003,0.000104830164,0.9919593,0.00011920711,0.000002048423,0.000011405831,0.0070473244,0.000030943804,0.000010358947,0.000109194465,0.0002803277,0.000028694936],"about_ca_topic_score_codex":0.41626117,"about_ca_topic_score_gemma":0.8707743,"teacher_disagreement_score":0.45451316,"about_ca_system_score_codex":0.00048927026,"about_ca_system_score_gemma":0.00038069458,"threshold_uncertainty_score":0.587626},"labels":[],"label_agreement":null},{"id":"W3192278709","doi":"10.1111/ajsp.12497","title":"Who moved with you? The companionship of significant others reduces movers’ motivation to make new friends","year":2021,"lang":"en","type":"article","venue":"Asian Journal Of Social Psychology","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"National Natural Science Foundation of China","keywords":"Interpersonal relationship; Psychology; Affect (linguistics); Social psychology; Interpersonal communication; Friendship; Social relation; Developmental psychology; Communication","score_opus":0.05028240055714686,"score_gpt":0.34968172774207046,"score_spread":0.29939932718492357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3192278709","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92119586,0.00005592905,0.001095203,0.048673775,0.0004048175,0.00010789681,0.000006956935,0.000007901736,0.028451664],"genre_scores_gemma":[0.997501,0.0000077562945,0.00043840354,0.0007758245,0.0005735196,9.294765e-7,0.0000015163149,0.000009436192,0.00069157477],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984987,0.0003207283,0.000413384,0.00016292419,0.00037395707,0.00023031826],"domain_scores_gemma":[0.9989416,0.000076860866,0.00042777398,0.0001242983,0.00028769652,0.00014179971],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000724014,0.00009413401,0.0002831363,0.00006646741,0.0002927518,0.000037744983,0.00036886305,0.000106100364,0.00033183832],"category_scores_gemma":[0.00011149412,0.00006776219,0.00012650232,0.0006107923,0.00042195292,0.00013341165,0.000008797794,0.00025870386,0.000002301341],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011635385,0.0006115587,0.57368135,0.000018078044,0.0005341804,0.000095009054,0.32527134,0.000029768104,0.009255598,0.021530254,0.020899296,0.046909995],"study_design_scores_gemma":[0.00063160475,0.00014913925,0.94098157,0.000027529175,0.000051812745,0.000003032951,0.044972446,1.9785966e-7,0.00048725857,0.004891541,0.0077076396,0.00009621632],"about_ca_topic_score_codex":0.00014645449,"about_ca_topic_score_gemma":0.00059561635,"teacher_disagreement_score":0.3673002,"about_ca_system_score_codex":0.000044549623,"about_ca_system_score_gemma":0.00044347747,"threshold_uncertainty_score":0.3633397},"labels":[],"label_agreement":null},{"id":"W3192683960","doi":"10.1016/j.healthplace.2021.102641","title":"Analyzing differences between spatial exposure estimation methods: A case study of outdoor food and beverage advertising in London, Canada","year":2021,"lang":"en","type":"article","venue":"Health & Place","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Wilfrid Laurier University; Athabasca University; Western University","funders":"Canadian Institutes of Health Research","keywords":"Context (archaeology); Global Positioning System; Purchasing; Sample (material); Advertising; Estimation; Geography; Mobile phone; Marketing; Econometrics; Computer science; Business; Mathematics; Telecommunications; Economics","score_opus":0.04072801061130979,"score_gpt":0.3700818080005479,"score_spread":0.3293537973892381,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3192683960","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9935615,0.0010401526,0.0043794527,0.0005328565,0.00009609806,0.00033529347,0.000018478586,0.000012263898,0.000023867966],"genre_scores_gemma":[0.99748635,0.000019425543,0.0023738355,0.00004062641,0.000043106676,0.0000063306707,0.0000065810223,0.0000045723928,0.000019155255],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99794656,0.0008223992,0.00045950187,0.00027095294,0.00024886223,0.00025173422],"domain_scores_gemma":[0.99903214,0.00045444779,0.000183202,0.0001222064,0.00006627704,0.00014174383],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011689744,0.00009129811,0.00034126424,0.00004962957,0.00033327314,0.000031352716,0.0000741582,0.000047897614,0.00001737154],"category_scores_gemma":[0.00020891018,0.00009094931,0.000017545914,0.00035457488,0.000043484495,0.00015799518,0.000020746029,0.00014859452,4.5782965e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008361717,0.000067052795,0.9403462,0.00008982367,0.000011231418,0.000115521834,0.023009738,0.000023463586,0.0000023784276,0.000004142594,0.0000066803755,0.036315408],"study_design_scores_gemma":[0.0005799688,0.00014948258,0.9673913,0.00007234554,0.000019632726,0.000003342209,0.031247683,0.0002874733,0.000040075418,0.000073391886,0.000030970095,0.000104331426],"about_ca_topic_score_codex":0.955035,"about_ca_topic_score_gemma":0.9974524,"teacher_disagreement_score":0.04241737,"about_ca_system_score_codex":0.00019003724,"about_ca_system_score_gemma":0.0016370219,"threshold_uncertainty_score":0.3708805},"labels":[],"label_agreement":null},{"id":"W3192829935","doi":"10.1155/2021/6699674","title":"Do the Effects of ICT Use on Trip Generation Vary across Travel Modes? Evidence from Beijing","year":2021,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Information and Communications Technology; Beijing; Trip generation; TRIPS architecture; The Internet; Travel behavior; Transport engineering; Business; Computer science; Geography; Engineering; World Wide Web","score_opus":0.04656576844073962,"score_gpt":0.3454838024655659,"score_spread":0.2989180340248263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3192829935","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98889214,0.0012478408,0.008726465,0.0002762393,0.00063329394,0.00017230987,0.000025006255,0.000007806163,0.000018924766],"genre_scores_gemma":[0.9967044,0.0009061965,0.0019184342,0.000073610485,0.00031935933,0.000003663941,0.000021811431,0.000009266485,0.00004328638],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9982494,0.00017312219,0.00059917435,0.00018203244,0.00062545174,0.00017083119],"domain_scores_gemma":[0.9980205,0.00076541904,0.0005469831,0.00016110609,0.00043250524,0.00007348279],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056048785,0.00010912065,0.00025172628,0.000034445395,0.0002680672,0.0000697588,0.00018774717,0.00008213422,0.00002652763],"category_scores_gemma":[0.00036389442,0.00008275777,0.00019567764,0.00030422586,0.00010316821,0.001532263,0.0000012584148,0.00023302979,5.327175e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008530384,0.00045692336,0.290172,0.00015675773,0.00015920833,0.0001788192,0.10120851,0.03589216,0.5307201,0.00078602735,0.00004882505,0.039367605],"study_design_scores_gemma":[0.0007126415,0.0001116886,0.91785944,0.00046470348,0.00010886671,3.150915e-7,0.0033307148,0.000047081143,0.07642991,0.00075813587,0.00007549801,0.00010099157],"about_ca_topic_score_codex":0.00026711408,"about_ca_topic_score_gemma":0.002710628,"teacher_disagreement_score":0.62768745,"about_ca_system_score_codex":0.00006274539,"about_ca_system_score_gemma":0.00020140213,"threshold_uncertainty_score":0.33747637},"labels":[],"label_agreement":null},{"id":"W3193008923","doi":"","title":"Les effets de lieu au quotidien","year":2019,"lang":"fr","type":"dissertation","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Art","score_opus":0.015824418514266754,"score_gpt":0.2692963042378543,"score_spread":0.25347188572358753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3193008923","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7546668,0.001648896,0.005103203,0.0036153877,0.0007970646,0.0005477017,0.000056041063,0.00015679176,0.23340812],"genre_scores_gemma":[0.87169945,0.00044588224,0.0038480074,0.00006288953,0.00008416725,0.00004514373,0.0010529252,0.000060007565,0.12270152],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98953354,0.007070182,0.0007649173,0.0009966707,0.0007571702,0.000877524],"domain_scores_gemma":[0.99328405,0.002179741,0.0007476079,0.0014443569,0.0019486796,0.00039558872],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0077729924,0.0004994802,0.0005881579,0.00016889189,0.0015148101,0.00037688718,0.00179505,0.0007405535,0.0011854378],"category_scores_gemma":[0.0013080769,0.0005537565,0.00044168276,0.0008543797,0.00072506163,0.00044250887,0.00012963003,0.0007745654,0.0003948926],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041895346,0.0012514712,0.58274895,0.0006475434,0.00012873263,0.000007545591,0.1816614,0.000016822232,0.0018956425,0.13753915,0.0003072543,0.093753584],"study_design_scores_gemma":[0.0014361503,0.0000018265666,0.87750363,0.004702143,0.0003628337,0.0000025003778,0.0085628545,0.0027472398,0.03805427,0.0039137546,0.061161987,0.0015508287],"about_ca_topic_score_codex":0.09533148,"about_ca_topic_score_gemma":0.18910386,"teacher_disagreement_score":0.29475465,"about_ca_system_score_codex":0.0006125892,"about_ca_system_score_gemma":0.0013761375,"threshold_uncertainty_score":0.99978507},"labels":[],"label_agreement":null},{"id":"W3193120755","doi":"10.46743/2160-3715/2021.4287","title":"Older Adults and Outdoor Physical Activity Equipment: A Social Ecological Analysis","year":2021,"lang":"en","type":"article","venue":"The Qualitative Report","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Neighbourhood (mathematics); Socioeconomic status; Physical activity; Social ecological model; Gerontology; Recreation; Population; Inequality; Sociology; Psychology; Geography; Ecology; Demography; Medicine","score_opus":0.0949369929000543,"score_gpt":0.48268175592725954,"score_spread":0.38774476302720523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3193120755","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9861136,0.00004328436,0.00031441185,0.0044954666,0.00005745986,0.00017113773,0.000015114404,0.00004457968,0.008744933],"genre_scores_gemma":[0.99738884,0.0000043623722,0.00005758066,0.00007902687,0.00019979154,0.000025741345,0.000015998025,0.000004499668,0.0022241757],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.997543,0.0011232945,0.00021055067,0.00039898246,0.00045813603,0.00026604783],"domain_scores_gemma":[0.99877334,0.00057355326,0.00019487385,0.00017700013,0.00019731725,0.000083919695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002059223,0.000112331465,0.00033977246,0.000026985148,0.0007384226,0.000067488,0.00012287044,0.00007535658,0.00025288778],"category_scores_gemma":[0.00040693217,0.00007614252,0.00024465186,0.0006737441,0.0008024173,0.00017045271,0.000052798394,0.0001751327,0.0000063048506],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013786161,0.0012575454,0.068905994,0.00003200614,0.0008513804,0.00037318643,0.91101295,6.048312e-7,0.00011677143,0.0099181775,0.00023604189,0.0071574873],"study_design_scores_gemma":[0.000228265,0.000023148436,0.89773273,0.0000056850463,0.00037991285,0.0000014135944,0.09514387,0.000023678882,0.00018081116,0.005622961,0.00049296924,0.00016452433],"about_ca_topic_score_codex":0.0011056255,"about_ca_topic_score_gemma":0.0025183202,"teacher_disagreement_score":0.8288268,"about_ca_system_score_codex":0.00006536756,"about_ca_system_score_gemma":0.00018495905,"threshold_uncertainty_score":0.56794244},"labels":[],"label_agreement":null},{"id":"W3193543090","doi":"10.1080/21650020.2021.1964376","title":"Crowdsourced bicycling crashes and near misses: trends in Canadian cities","year":2021,"lang":"en","type":"article","venue":"Urban Planning and Transport Research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University; Simon Fraser University; University of Victoria","funders":"Public Health Agency of Canada","keywords":"Intersection (aeronautics); Near miss; Transport engineering; Collision; Crowdsourcing; Poison control; Crash; Occupational safety and health; Human factors and ergonomics; Injury prevention; Geography; Engineering; Environmental health; Computer security; Forensic engineering; Computer science; Medicine","score_opus":0.08493044940648621,"score_gpt":0.39412564170204334,"score_spread":0.30919519229555714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3193543090","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9698902,0.0037004924,0.0000043436903,0.0012965193,0.000051641036,0.000078651734,0.00002383979,0.00003607458,0.024918277],"genre_scores_gemma":[0.9947684,0.00009754808,0.000086330634,0.000049543578,0.00010354619,0.000008486924,0.000060315775,0.000013112766,0.004812726],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978235,0.00016721494,0.00024320759,0.00044442,0.00044058933,0.0008810616],"domain_scores_gemma":[0.9989747,0.00020510973,0.00001965199,0.00015148315,0.00010870401,0.00054037827],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017110361,0.0001241868,0.00022572107,0.00039956198,0.0011364139,0.00023943376,0.00015344375,0.00015919909,0.0003200159],"category_scores_gemma":[0.00007658591,0.00012850946,0.00004144605,0.00092362356,0.0007571806,0.00022408388,0.0000096157855,0.0004973594,0.0000017744995],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018201672,0.000019502399,0.9697417,0.000037103953,0.0000105315185,0.00045939002,0.027888982,0.000009442144,0.000028079045,0.00021915862,0.0002428502,0.0013250337],"study_design_scores_gemma":[0.00026340107,0.0000189156,0.95563287,0.00011068549,0.000008091572,0.0000014480753,0.007292816,0.000067239205,0.000054928343,0.00031415705,0.03607798,0.00015748754],"about_ca_topic_score_codex":0.5109461,"about_ca_topic_score_gemma":0.73493344,"teacher_disagreement_score":0.22398731,"about_ca_system_score_codex":0.00007594437,"about_ca_system_score_gemma":0.0008052505,"threshold_uncertainty_score":0.8740492},"labels":[],"label_agreement":null},{"id":"W3193546319","doi":"10.1155/2021/5530591","title":"Random-Parameters Behavioral Models to Investigate Determinants of Perceived Safety in Railway Stations","year":2021,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Ordered logit; Negative binomial distribution; Logit; Estimation; Logistic regression; Mixed logit; Perception; Identification (biology); Preference; Random effects model; Feeling; Computer science; Econometrics; Transport engineering; Psychology; Engineering; Statistics; Poisson distribution; Social psychology; Economics; Mathematics","score_opus":0.0443726736522616,"score_gpt":0.3387909823859501,"score_spread":0.2944183087336885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3193546319","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964888,0.0000769804,0.002662227,0.00020892113,0.00022629114,0.00021033685,0.000041928146,0.0000072442044,0.00007726007],"genre_scores_gemma":[0.98224753,0.0001259516,0.01748006,0.000044894212,0.000021369935,0.000004628639,0.000018587145,0.000008649312,0.000048347076],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99817485,0.000114864655,0.0009440723,0.00015533794,0.00041706464,0.00019383107],"domain_scores_gemma":[0.9987875,0.000096187825,0.0003902839,0.00009749031,0.00046421622,0.00016431588],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004967005,0.00009907711,0.00036463366,0.00015780884,0.00009364283,0.000016205277,0.00014513709,0.00006507151,0.00004195643],"category_scores_gemma":[0.00005730592,0.000099014134,0.00014895646,0.00052041234,0.000115100825,0.0010231268,0.0000012990425,0.00015654527,5.1654354e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015106231,0.0005214633,0.5411173,0.00007489462,0.000027311533,0.00019024855,0.14770153,0.2748098,0.019192431,0.0002858137,0.0000080413,0.014560536],"study_design_scores_gemma":[0.0024077883,0.00009453309,0.9808105,0.00018422649,0.00006741273,6.3970225e-7,0.0097837215,0.000052748754,0.003114959,0.00327529,0.000078557685,0.00012960323],"about_ca_topic_score_codex":0.0005061345,"about_ca_topic_score_gemma":0.032241322,"teacher_disagreement_score":0.4396932,"about_ca_system_score_codex":0.00008459251,"about_ca_system_score_gemma":0.0004266137,"threshold_uncertainty_score":0.9854177},"labels":[],"label_agreement":null},{"id":"W3193626258","doi":"10.1016/j.cstp.2025.101506","title":"Analysis of BRT systems and its implications on physical activity using a hurdle model statistical approach","year":2025,"lang":"en","type":"article","venue":"Case Studies on Transport Policy","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Consejo Nacional de Ciencia y Tecnología; World Resources Institute","keywords":"Computer science; Statistical model; Statistical analysis; Econometrics; Transport engineering; Operations research; Statistics; Engineering; Mathematics; Machine learning","score_opus":0.10891001703572621,"score_gpt":0.43653993828874604,"score_spread":0.3276299212530198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3193626258","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98877674,0.00012592276,0.004748392,0.00023856151,0.00003409704,0.00036922784,0.00059296296,0.00003837159,0.0050757504],"genre_scores_gemma":[0.99952585,0.000044861496,0.00007169711,0.00004727464,0.0000677967,0.000040604897,0.000015363967,0.0000068675504,0.00017971115],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9987645,0.00007864315,0.00026265983,0.00040916455,0.00021977139,0.00026525478],"domain_scores_gemma":[0.9992039,0.00021038917,0.00010042271,0.00024104417,0.00013881458,0.00010541362],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028208806,0.00016418831,0.00058226025,0.00031672997,0.00054022885,0.000014624569,0.00010848596,0.00007129647,0.0000015184145],"category_scores_gemma":[0.00006915916,0.00014541601,0.00015005519,0.0013385434,0.00045250834,0.00010112808,0.000009901726,0.00013591419,3.612903e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002666362,0.0028205619,0.078732975,0.00085938565,0.0042370693,0.000093600895,0.03630753,0.0514693,0.0004757345,0.82198524,0.0000512041,0.0027007826],"study_design_scores_gemma":[0.0015807243,0.00022814468,0.49935374,0.00021746711,0.01088583,0.0000055906967,0.016006395,0.46515307,0.0005460136,0.00474979,0.00012486354,0.0011483801],"about_ca_topic_score_codex":0.0031385242,"about_ca_topic_score_gemma":0.0011808247,"teacher_disagreement_score":0.8172354,"about_ca_system_score_codex":0.00014262914,"about_ca_system_score_gemma":0.00025587584,"threshold_uncertainty_score":0.59298927},"labels":[],"label_agreement":null},{"id":"W3193653966","doi":"10.32358/rpd.2021.v7.537","title":"Determinants of urban cycling from the perspective of Bronfenbrenner's ecological model","year":2021,"lang":"en","type":"article","venue":"Revista Produção e Desenvolvimento","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Ecological psychology; Ecology; Originality; Ecological systems theory; Variety (cybernetics); Perspective (graphical); Social ecological model; Sociology; Urbanism; Geography; Psychology; Social science; Qualitative research; Computer science; Social psychology; Biology","score_opus":0.04380921272189248,"score_gpt":0.3340488742039958,"score_spread":0.29023966148210334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3193653966","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9916807,0.003951933,0.00014512225,0.00051095797,0.00007575806,0.00033768752,0.0000649538,0.000025680303,0.0032072165],"genre_scores_gemma":[0.99807626,0.00015702171,0.00068007375,0.00005549862,0.00013935687,0.0000109664325,0.000010873647,0.000009832564,0.00086014246],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981147,0.00027362927,0.00046930838,0.00044004217,0.00042462317,0.00027770712],"domain_scores_gemma":[0.99844134,0.00030791023,0.00026614044,0.00049056066,0.00041197918,0.00008204548],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007873663,0.00013260465,0.0003836256,0.000021327083,0.0002304137,0.000056371468,0.0004340387,0.00009871922,0.00025699154],"category_scores_gemma":[0.00070593983,0.00009643059,0.00018830174,0.00032119654,0.0004759752,0.00017795867,0.00007927628,0.00014513644,0.0000045794704],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046276724,0.00056294526,0.958383,0.00006653579,0.00006566242,0.000015627553,0.01488394,0.0000354915,0.0049457555,0.019622644,0.0004633997,0.0009086869],"study_design_scores_gemma":[0.001309031,0.00018768714,0.83416516,0.00082046574,0.00066536415,0.0000010441264,0.043405578,0.003916278,0.06631249,0.041552104,0.0066495775,0.0010152085],"about_ca_topic_score_codex":0.0024635405,"about_ca_topic_score_gemma":0.002431798,"teacher_disagreement_score":0.12421787,"about_ca_system_score_codex":0.00012357187,"about_ca_system_score_gemma":0.00041358764,"threshold_uncertainty_score":0.39323252},"labels":[],"label_agreement":null},{"id":"W3194011016","doi":"10.3390/ijerph18178943","title":"Parental Preconception Exposures to Outdoor Neighbourhood Environments and Adverse Birth Outcomes: A Protocol for a Scoping Review and Evidence Map","year":2021,"lang":"en","type":"review","venue":"International Journal of Environmental Research and Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"National Health and Medical Research Council","keywords":"Neighbourhood (mathematics); Scopus; Built environment; Walkability; Pregnancy; Medicine; MEDLINE; Data extraction; Environmental health; Physical activity; Engineering; Physical therapy","score_opus":0.30142236224964547,"score_gpt":0.5494093965719529,"score_spread":0.2479870343223074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3194011016","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0003316288,0.95030755,0.000074606854,0.004057255,0.00011364678,0.04495289,0.00013963396,0.000003678122,0.000019083787],"genre_scores_gemma":[0.0012379312,0.9861216,0.0002851887,0.00035359777,0.0002306045,0.011505476,0.000020773054,0.000017545832,0.00022729536],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9960612,0.0007858595,0.0010272275,0.00042772444,0.0012182645,0.00047969547],"domain_scores_gemma":[0.9977231,0.0006324975,0.000623068,0.00013147696,0.00006676448,0.0008231002],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004526018,0.00021795995,0.0009223173,0.00025374704,0.00034568287,0.00022866024,0.00042715963,0.000110346016,0.00045143298],"category_scores_gemma":[0.0007223335,0.00017179202,0.00017185185,0.000103125996,0.0003985291,0.0007519666,0.00020060058,0.00042132346,0.0000038528483],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040517803,0.0004394534,0.032747112,0.023697644,0.00017542942,0.000015184084,0.0010047517,3.2234e-8,5.516401e-7,0.000053475058,0.00026837832,0.94155747],"study_design_scores_gemma":[0.0008288416,0.0007903159,0.014231658,0.14304852,0.000050678525,0.00002460454,0.0011264805,3.364142e-7,2.424577e-7,0.000086294225,0.839558,0.0002540398],"about_ca_topic_score_codex":0.0001302732,"about_ca_topic_score_gemma":0.00026636219,"teacher_disagreement_score":0.94130343,"about_ca_system_score_codex":0.00065860973,"about_ca_system_score_gemma":0.0012856008,"threshold_uncertainty_score":0.7005475},"labels":[],"label_agreement":null},{"id":"W3194354084","doi":"10.1186/s43058-021-00198-7","title":"Implementation contextual factors related to community-based active travel to school interventions: a mixed methods interview study","year":2021,"lang":"en","type":"article","venue":"Implementation Science Communications","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Partnership Against Cancer","funders":"National Center for Chronic Disease Prevention and Health Promotion; National Institute of Diabetes and Digestive and Kidney Diseases; National Cancer Institute; National Institutes of Health; Eunice Kennedy Shriver National Institute of Child Health and Human Development; Centers for Disease Control and Prevention; National Institute of Child Health and Human Development; U.S. Department of Veterans Affairs","keywords":"Thematic analysis; Sustainability; Psychological intervention; Implementation research; Incentive; Psychosocial; Qualitative research; Psychology; Medical education; Incentive program; Population; Medicine; Nursing; Sociology; Environmental health","score_opus":0.34862917878087235,"score_gpt":0.6111544661214393,"score_spread":0.26252528734056696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3194354084","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9472058,0.00005324887,0.04021163,0.008059312,0.00033655073,0.0025875808,0.00019299056,0.00012450652,0.0012283974],"genre_scores_gemma":[0.97705185,0.0000104822575,0.020952765,0.0009087654,0.000011301718,0.00054264755,0.00038977715,0.000015071151,0.000117334035],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99156404,0.005577616,0.0011109349,0.0004802395,0.00075957965,0.00050756516],"domain_scores_gemma":[0.99517274,0.0008941432,0.00032004743,0.0017830799,0.0013125531,0.00051745184],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00906303,0.00020503908,0.00031220674,0.00053297466,0.0042997655,0.0005389227,0.0025314018,0.00004827833,0.0020843896],"category_scores_gemma":[0.001066613,0.00022102422,0.00019526186,0.0044644633,0.0005892933,0.0015487159,0.0006065136,0.00042542396,0.00005846246],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032721455,0.0035347939,0.34521645,0.000048885937,0.00017340563,0.0000018296474,0.3692926,0.000022845652,0.013113807,0.01078116,0.0008895716,0.25689194],"study_design_scores_gemma":[0.000623006,0.000180167,0.4624535,0.000039673378,0.00006215185,1.386748e-7,0.52767473,0.00000781161,0.005248905,0.0006788795,0.0028412598,0.00018974175],"about_ca_topic_score_codex":0.010780543,"about_ca_topic_score_gemma":0.18049905,"teacher_disagreement_score":0.2567022,"about_ca_system_score_codex":0.0007601486,"about_ca_system_score_gemma":0.0015177327,"threshold_uncertainty_score":0.9988278},"labels":[],"label_agreement":null},{"id":"W3194712238","doi":"10.1111/cag.12708","title":"Analyzing disparities in transit‐based healthcare accessibility in the Chicago Metropolitan Area","year":2021,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Western University","funders":"University of Illinois at Urbana-Champaign; Chinese University of Hong Kong","keywords":"Metropolitan area; Health care; Ethnic group; Census; Transit (satellite); Inequality; Geography; Census tract; Demographic economics; Public transport; Business; Health equity; Socioeconomics; Economic growth; Transport engineering; Environmental health; Medicine; Political science; Sociology; Economics; Population; Engineering","score_opus":0.021098813529024932,"score_gpt":0.2646623586529251,"score_spread":0.24356354512390016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3194712238","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96269524,0.006895843,0.0000065127283,0.024551926,0.00038462374,0.0005411803,0.00027970987,0.0000660505,0.0045789126],"genre_scores_gemma":[0.99669516,0.00090706785,0.00006847362,0.0018674724,0.00010512175,0.00011959404,0.00015813776,0.000026170228,0.000052791034],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9950667,0.00085511705,0.00074193696,0.0008883059,0.0004873623,0.0019605518],"domain_scores_gemma":[0.99740696,0.00042727028,0.000120749275,0.0008314126,0.0002646946,0.0009489232],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0016446254,0.00040089723,0.0005996518,0.0031145136,0.0013627743,0.00038761515,0.0011019928,0.00030727047,0.00017727898],"category_scores_gemma":[0.00032478347,0.0003699169,0.00041881698,0.011953261,0.0025917243,0.0005865573,0.000018400628,0.0006924961,0.0000010731231],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015912326,0.00006523148,0.9804697,0.00008325282,0.000026231155,0.0003310979,0.0054760827,0.000007713451,0.0000022473994,0.012154509,0.00024096332,0.0011270383],"study_design_scores_gemma":[0.00034865562,0.000024944042,0.9218136,0.000093019655,0.000032867716,0.0000016446796,0.06457257,0.000012440012,0.000008979397,0.007432866,0.005231415,0.00042700808],"about_ca_topic_score_codex":0.97754586,"about_ca_topic_score_gemma":0.99996686,"teacher_disagreement_score":0.05909649,"about_ca_system_score_codex":0.0006008163,"about_ca_system_score_gemma":0.001800174,"threshold_uncertainty_score":0.9999373},"labels":[],"label_agreement":null},{"id":"W3194735766","doi":"10.1016/j.tranpol.2021.08.009","title":"COVid-19 influenced households’ Interrupted Travel Schedules (COVHITS) survey: Lessons from the fall 2020 cycle","year":2021,"lang":"en","type":"article","venue":"Transport Policy","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"TRIPS architecture; Travel behavior; Sample (material); Public transport; Coronavirus disease 2019 (COVID-19); Travel survey; Vehicle miles of travel; Business; Geography; Benchmarking; Pandemic; Descriptive statistics; Work (physics); Demographic economics; Transport engineering; Economics; Marketing; Engineering; Medicine; Statistics","score_opus":0.08243422004805141,"score_gpt":0.37940234795183464,"score_spread":0.29696812790378324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3194735766","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9642257,0.00041695905,0.0011256175,0.028206365,0.00021890817,0.00033336805,0.0014977147,0.00025149257,0.0037238512],"genre_scores_gemma":[0.991251,0.00029101977,0.00014946294,0.0062779537,0.0006043369,0.000027905573,0.0005773754,0.000038157086,0.0007827884],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9967878,0.00052081485,0.00060649234,0.0007231541,0.0006270002,0.00073475216],"domain_scores_gemma":[0.9977067,0.0005135606,0.00015721611,0.00071452424,0.00016666047,0.00074133644],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011466028,0.00030876638,0.0004572844,0.000051086106,0.00092937873,0.00013565291,0.0010494154,0.0002824353,0.0011827226],"category_scores_gemma":[0.00075886655,0.00025830365,0.00029271166,0.0013319671,0.00088291056,0.0004010159,0.000028325047,0.00046778817,0.00005719839],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006804145,0.00018975092,0.970344,0.000023031376,0.000086457476,0.000071388386,0.019515965,0.000058938764,0.0003188652,0.008090252,0.00036829492,0.0008649827],"study_design_scores_gemma":[0.0006550274,0.000011336694,0.9743666,0.000025833768,0.00006349504,5.183944e-7,0.0025915327,0.0000068919207,0.0003335316,0.0047768233,0.016840298,0.0003280849],"about_ca_topic_score_codex":0.3779957,"about_ca_topic_score_gemma":0.6045853,"teacher_disagreement_score":0.22658959,"about_ca_system_score_codex":0.00022859668,"about_ca_system_score_gemma":0.0043232264,"threshold_uncertainty_score":0.99998695},"labels":[],"label_agreement":null},{"id":"W3195143648","doi":"10.1177/03611981211032221","title":"Participation in Shared Mobility: An Analysis of the Influence of Walking and Public Transport Accessibility to Vehicles on Carsharing Membership in Montreal, Canada","year":2021,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal; Centre for Interdisciplinary Research in Rehabilitation","funders":"","keywords":"Public transport; Context (archaeology); Transport engineering; Personal mobility; Business; Travel behavior; Sustainable transport; Relevance (law); Computer science; Geography; Sustainability; Engineering; Political science; Telecommunications","score_opus":0.1124913973392861,"score_gpt":0.4188654490037872,"score_spread":0.3063740516645011,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3195143648","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970181,0.00007701157,0.000012737455,0.0018560569,0.0000825201,0.0007718423,0.00011889004,0.0000053650456,0.00005747009],"genre_scores_gemma":[0.999639,0.00011435152,0.000076597884,0.000035281144,0.00002143039,0.000044666627,0.000017867864,0.000014022339,0.000036824676],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9912962,0.002302948,0.0017714029,0.00051759946,0.0034069258,0.00070493575],"domain_scores_gemma":[0.99466646,0.0011414917,0.00046601627,0.000591191,0.0027663137,0.00036855182],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0070584584,0.0001757021,0.0006310776,0.0009793041,0.0003672336,0.000072650866,0.001071155,0.00015442033,0.00012544011],"category_scores_gemma":[0.00079308497,0.00013491185,0.0002501389,0.00795039,0.0006437625,0.0009578604,0.000009050505,0.0011357409,1.4543595e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005117951,0.0004354804,0.96891093,0.0001581577,0.00009047892,0.000029288845,0.013909045,0.012046386,0.001485925,0.00030632975,0.000006634623,0.002109519],"study_design_scores_gemma":[0.0005764361,0.00010818478,0.987925,0.00030893192,0.00009338443,1.1761069e-8,0.008483454,0.00015013706,0.0013478044,0.0008489441,0.000043672313,0.00011404599],"about_ca_topic_score_codex":0.8741057,"about_ca_topic_score_gemma":0.9991992,"teacher_disagreement_score":0.1250935,"about_ca_system_score_codex":0.00051398523,"about_ca_system_score_gemma":0.0025613373,"threshold_uncertainty_score":0.55015457},"labels":[],"label_agreement":null},{"id":"W3195735835","doi":"10.1016/j.jtrangeo.2021.103158","title":"Built for active travel? Investigating the contextual effects of the built environment on transportation mode choice","year":2021,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":88,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Built environment; Mode choice; Travel behavior; Land use; Mode (computer interface); Transport engineering; Demographics; Public transport; Perspective (graphical); Socioeconomic status; Geography; Econometrics; Computer science; Mathematics; Engineering; Sociology; Civil engineering; Demography; Population; Human–computer interaction","score_opus":0.019747520580603306,"score_gpt":0.2857850531850114,"score_spread":0.2660375326044081,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3195735835","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948495,0.00041238396,0.0016039293,0.001834754,0.00043388354,0.0005411374,0.000097945915,0.000007608385,0.00021887316],"genre_scores_gemma":[0.9989659,0.00013304385,0.000286804,0.00030213702,0.00022389037,0.000018827857,0.000012893598,0.000014510279,0.000041953317],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978265,0.00016624495,0.00070259994,0.00021515318,0.0008062618,0.0002832212],"domain_scores_gemma":[0.9981363,0.0006064121,0.00066395744,0.000243088,0.00022005811,0.00013017897],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063213037,0.0001775456,0.00037126022,0.00007697348,0.0004667333,0.000020401281,0.00050344435,0.000123494,0.000035685378],"category_scores_gemma":[0.00009208815,0.000110218345,0.00087019213,0.00039626085,0.00059228606,0.00026081465,0.0000019095708,0.000386782,2.3047924e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022020523,0.0005190707,0.95956933,0.00019584893,0.00036155578,0.000015190867,0.020412603,0.00074547605,0.012331958,0.00082781335,0.000071604736,0.0047293273],"study_design_scores_gemma":[0.0009778682,0.00014742545,0.95006883,0.0001877581,0.00036880985,5.1611823e-7,0.0017731385,0.000005690085,0.04174899,0.0022363814,0.0023585416,0.00012605893],"about_ca_topic_score_codex":0.0010778619,"about_ca_topic_score_gemma":0.005524791,"teacher_disagreement_score":0.02941703,"about_ca_system_score_codex":0.000035352543,"about_ca_system_score_gemma":0.0002721973,"threshold_uncertainty_score":0.44945735},"labels":[],"label_agreement":null},{"id":"W3195854548","doi":"10.1093/heapro/daab128","title":"Leveraging built environment interventions to equitably promote health during and after COVID-19 in Toronto, Canada","year":2021,"lang":"en","type":"article","venue":"Health Promotion International","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"York University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Built environment; Health equity; Psychological intervention; Equity (law); Placemaking; Health promotion; Public health; Health impact assessment; Urban design; Business; Public relations; Sociology; Urban planning; Political science; Economic growth; Medicine; Nursing; Engineering","score_opus":0.05929114239142037,"score_gpt":0.3971326382919847,"score_spread":0.33784149590056434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3195854548","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8947401,0.00079734885,0.0030468022,0.099479884,0.0005930919,0.0005588057,0.00007246948,0.000032274405,0.0006792412],"genre_scores_gemma":[0.9949662,0.0001548228,0.0006208951,0.002577272,0.00013203236,0.00009963094,0.00005235744,0.0000074499317,0.001389322],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981093,0.0002289651,0.00047939128,0.00036789497,0.0004538485,0.00036060018],"domain_scores_gemma":[0.9992175,0.000021985259,0.00012632112,0.000115135634,0.000047766323,0.00047129113],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009241072,0.0000918502,0.00015122214,0.000052867254,0.000374363,0.00006134896,0.0001307841,0.00003343096,0.0032632728],"category_scores_gemma":[0.000111111854,0.000106798405,0.00003986753,0.000098574674,0.000039426548,0.0002807981,0.00007246082,0.0001185541,0.0000036113247],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054024287,0.0006927685,0.95659953,0.0010571555,0.000028284976,0.00008749379,0.026484367,0.00010146058,0.00003623868,0.0016308982,0.0010578186,0.01216996],"study_design_scores_gemma":[0.0004795342,0.00004779766,0.97503585,0.00026785576,0.0000020068026,0.000003063297,0.0026731328,0.000032090058,0.000016969982,0.00041683143,0.020890022,0.00013485528],"about_ca_topic_score_codex":0.81141347,"about_ca_topic_score_gemma":0.98936605,"teacher_disagreement_score":0.17795265,"about_ca_system_score_codex":0.006911457,"about_ca_system_score_gemma":0.0028329317,"threshold_uncertainty_score":0.9976479},"labels":[],"label_agreement":null},{"id":"W3196080565","doi":"10.1186/s12939-021-01524-0","title":"Sociodemographic inequities and active transportation in adults from Latin America: an eight-country observational study","year":2021,"lang":"en","type":"article","venue":"International Journal for Equity in Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Coca-Cola Foundation","keywords":"Socioeconomic status; Public transport; Public health; Ethnic group; Medicine; Environmental health; Sustainable transport; Latin Americans; Cycling; Gerontology; Demography; Geography; Population; Political science; Sociology; Sustainability; Transport engineering; Engineering","score_opus":0.16114469076469704,"score_gpt":0.4704483739725075,"score_spread":0.30930368320781043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3196080565","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99366385,0.00024683526,0.00020214493,0.004258331,0.0007187097,0.00034187906,0.00047244618,0.000012905922,0.0000829033],"genre_scores_gemma":[0.99745893,0.00038525029,0.00061885064,0.0005863558,0.00041964368,0.000028351113,0.0004675073,0.000007637822,0.000027440003],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99782723,0.0002458543,0.0007075355,0.0002739261,0.0006767074,0.00026873106],"domain_scores_gemma":[0.99883837,0.00027748474,0.00030727722,0.00006604996,0.00037591223,0.00013489419],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010872782,0.00010478478,0.00024418643,0.0001602363,0.00029297432,0.00013954719,0.00025949968,0.00007157424,0.000115227915],"category_scores_gemma":[0.0001532594,0.000110447174,0.000055677177,0.00027861627,0.00011545177,0.0009341057,0.000014156295,0.00032146118,3.500663e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027118565,0.000536759,0.94189584,0.000019596975,0.000030645682,0.00002521399,0.043405153,0.000048041376,0.000011989029,0.0016428967,0.000022592818,0.012090075],"study_design_scores_gemma":[0.001317775,0.000106341235,0.94394886,0.00012855676,0.000005525374,3.8807076e-7,0.03000547,0.00017278561,0.000004588054,0.02370384,0.0005058964,0.00009996776],"about_ca_topic_score_codex":0.02761931,"about_ca_topic_score_gemma":0.31590483,"teacher_disagreement_score":0.28828552,"about_ca_system_score_codex":0.00041078762,"about_ca_system_score_gemma":0.001046947,"threshold_uncertainty_score":0.97885585},"labels":[],"label_agreement":null},{"id":"W3196207475","doi":"10.1289/isee.2021.p-098","title":"Spatiotemporal characterization of urban activity and environment with imagery and deep learning","year":2021,"lang":"en","type":"article","venue":"ISEE Conference Abstracts","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; University of British Columbia","funders":"","keywords":"Bespoke; Convolutional neural network; Built environment; Geography; Correlation; Business; Computer science; Cartography; Artificial intelligence; Ecology; Advertising; Biology","score_opus":0.017642773474888032,"score_gpt":0.24115459862652305,"score_spread":0.22351182515163504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3196207475","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99751097,0.000063139894,0.00045184672,0.00029196992,0.000020538591,0.0000882003,0.000004506951,0.000015783617,0.0015530153],"genre_scores_gemma":[0.9992786,0.0002444634,0.00012108524,0.000011760102,0.000030265224,0.0000028581019,0.000020121783,0.0000044598446,0.00028638126],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992951,0.00006201557,0.00012629396,0.00021057401,0.00017574751,0.00013025156],"domain_scores_gemma":[0.99959964,0.000041710664,0.00013862299,0.0000815335,0.00005774173,0.00008076675],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018903012,0.000075687334,0.00013307613,0.0000193763,0.00014937567,0.00006966439,0.00004250614,0.000057334775,0.0001414282],"category_scores_gemma":[0.000032554377,0.000071535265,0.0000130732,0.00005366902,0.000280721,0.00043557878,0.000015516285,0.0001094128,0.0000014525507],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005236292,0.00012610231,0.830521,0.000068047695,0.000018718938,0.000026742184,0.007730976,0.000027911316,0.11558062,0.00024410263,9.2391775e-7,0.04560253],"study_design_scores_gemma":[0.00013813295,0.00002314102,0.98809755,0.000025637479,0.000013765167,3.8766544e-7,0.0004416528,0.000014659123,0.010582566,0.000084486106,0.0004913189,0.00008668811],"about_ca_topic_score_codex":0.0004527402,"about_ca_topic_score_gemma":0.0007883252,"teacher_disagreement_score":0.1575766,"about_ca_system_score_codex":0.000013696296,"about_ca_system_score_gemma":0.00011348495,"threshold_uncertainty_score":0.29171234},"labels":[],"label_agreement":null},{"id":"W3196232039","doi":"10.31219/osf.io/qf65w","title":"The Disparity in Transit Travel Time between Koreans and Japanese in 1930s Colonial Seoul","year":2021,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Colonialism; Peninsula; Geography; Transit (satellite); Corporate governance; Economic geography; Population; Economy; Demography; Regional science; Political science; Business; Sociology; Public transport; Economics; Archaeology","score_opus":0.01634156128152566,"score_gpt":0.28408483230283543,"score_spread":0.2677432710213098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3196232039","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97668815,0.00012797123,0.000010976536,0.0049017617,0.00004373773,0.0001615246,0.000013921961,0.000016646214,0.018035317],"genre_scores_gemma":[0.99685997,0.00003824599,0.000024980993,0.000061934734,0.00007837711,0.000005659281,0.000009367445,0.0000037710072,0.0029176967],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989093,0.00017317024,0.00021601775,0.00022913143,0.00019051519,0.00028186527],"domain_scores_gemma":[0.9994947,0.00026437076,0.000020520814,0.00011500219,0.000025562187,0.00007986166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008026932,0.00007699824,0.00017561,0.000021073576,0.00023730648,0.00008116887,0.00015823066,0.00010256238,0.00022134984],"category_scores_gemma":[0.000052385287,0.00005710769,0.000038159564,0.00035447127,0.00030272987,0.00015695358,0.000012566615,0.00017377298,0.0000067704314],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000149459565,0.000055522705,0.98215336,0.00000571824,0.0000043799905,0.000017121643,0.015581787,5.6322705e-7,0.00007143526,0.00045329964,0.00005167784,0.0015901856],"study_design_scores_gemma":[0.00031774386,0.0000075579956,0.99489826,0.000007689275,0.000007858401,1.0914223e-7,0.0019968294,0.000029424094,0.00009786028,0.001608914,0.00094149663,0.000086266926],"about_ca_topic_score_codex":0.025646973,"about_ca_topic_score_gemma":0.5075093,"teacher_disagreement_score":0.48186234,"about_ca_system_score_codex":0.000042155047,"about_ca_system_score_gemma":0.00014979183,"threshold_uncertainty_score":0.98084134},"labels":[],"label_agreement":null},{"id":"W3196406054","doi":"10.1177/03611981211037884","title":"Mitigating Increased Driving after the COVID-19 Pandemic: An Analysis on Mode Share, Travel Demand, and Public Transport Capacity","year":2021,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Public transport; Business; Transport engineering; TRIPS architecture; Pandemic; Coronavirus disease 2019 (COVID-19); Paratransit; Mode choice; Transportation planning; Constraint (computer-aided design); Modal shift; Resilience (materials science); Engineering; Medicine","score_opus":0.15831578490753015,"score_gpt":0.42668605670591453,"score_spread":0.26837027179838435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3196406054","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9873686,0.00023241351,0.0029002319,0.007980725,0.0001799627,0.0008611243,0.00026191355,0.000045264776,0.00016977245],"genre_scores_gemma":[0.9973832,0.0007901298,0.0006441779,0.0004326915,0.00025816727,0.000112785136,0.00008993174,0.000043557146,0.00024540114],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9862938,0.004780454,0.0017225654,0.0008226966,0.0050816387,0.0012988369],"domain_scores_gemma":[0.9913742,0.0024469735,0.00053934194,0.0007577096,0.0033714403,0.0015103441],"candidate_categories":["sts","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.013133391,0.00034281524,0.0007124051,0.0009894607,0.0029192583,0.00044376645,0.0013887665,0.0003368622,0.0010791306],"category_scores_gemma":[0.0010375769,0.00024153374,0.00072847574,0.004781265,0.002214292,0.0014126928,0.000007624277,0.002824779,0.000003928947],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006767215,0.0003277082,0.9754014,0.00011997445,0.00035193955,0.00016626558,0.019364677,0.00042783882,0.00058059784,0.001647841,0.00009967042,0.00083538255],"study_design_scores_gemma":[0.0010936267,0.00016531964,0.975799,0.00010735188,0.00033910316,6.954969e-7,0.014565792,0.00021500594,0.00018145893,0.0046399483,0.002622513,0.0002701668],"about_ca_topic_score_codex":0.07521275,"about_ca_topic_score_gemma":0.78605455,"teacher_disagreement_score":0.7108418,"about_ca_system_score_codex":0.00050202897,"about_ca_system_score_gemma":0.0025315613,"threshold_uncertainty_score":0.999834},"labels":[],"label_agreement":null},{"id":"W3196464902","doi":"10.1080/01441647.2021.1975954","title":"Making accessibility work in practice","year":2021,"lang":"en","type":"article","venue":"Transport Reviews","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":63,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Work (physics); Transport engineering; Business; Public relations; Engineering; Political science","score_opus":0.11748108985332888,"score_gpt":0.4243648578199113,"score_spread":0.3068837679665824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3196464902","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.66369486,0.06038855,0.0011167147,0.004572208,0.00084010226,0.0015622412,0.000010265575,0.0002070548,0.26760802],"genre_scores_gemma":[0.98828346,0.0057974514,0.0036478506,0.000882729,0.00016850223,0.00004695351,0.000021286709,0.000012310488,0.0011394856],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99729615,0.0005379268,0.000811708,0.00054740673,0.00037350858,0.00043331992],"domain_scores_gemma":[0.99893576,0.0001410626,0.00019230976,0.0004913876,0.00012448811,0.00011496836],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0033732024,0.00016601285,0.0004934243,0.000041781634,0.00021207542,0.000054261043,0.00037047148,0.00013180113,0.0017504543],"category_scores_gemma":[0.00043358924,0.00015378244,0.00022163232,0.0014609053,0.00016501067,0.000872178,0.000010122256,0.0003366807,0.00008267957],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003997242,0.0002515077,0.9554369,0.000116330244,0.0000075360017,0.00015372956,0.005596854,0.0000011366154,0.00001155377,0.0009619263,0.00015479838,0.03726776],"study_design_scores_gemma":[0.00011977657,0.0000025721772,0.45696825,0.00019307362,0.00004056504,3.1853122e-7,0.00047650115,2.0766808e-7,0.000016851454,0.00028777248,0.5417527,0.00014142755],"about_ca_topic_score_codex":0.0006242294,"about_ca_topic_score_gemma":0.018026533,"teacher_disagreement_score":0.5415979,"about_ca_system_score_codex":0.000114935465,"about_ca_system_score_gemma":0.00037851807,"threshold_uncertainty_score":0.99989194},"labels":[],"label_agreement":null},{"id":"W3196546106","doi":"10.1155/2021/5530114","title":"Effect of Infrastructure Investment and Freight Accessibility on Gross Domestic Product: A Data-Driven Geographical Approach","year":2021,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Gross domestic product; Investment (military); Productivity; Product (mathematics); Business; Quality (philosophy); Transport engineering; Goods and services; Economics; Economic growth; Economy; Engineering","score_opus":0.0138379609515905,"score_gpt":0.31568596974305146,"score_spread":0.30184800879146095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3196546106","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99787587,0.0007080753,0.0004842798,0.00013898656,0.00024499994,0.00028318664,0.00006162149,0.000012118943,0.00019087741],"genre_scores_gemma":[0.99493533,0.00022302543,0.0045093754,0.00004055646,0.00014307215,0.000003852677,0.00012808424,0.000008388441,0.000008301958],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99798834,0.00023328491,0.0006340342,0.00036160246,0.00060100737,0.00018174275],"domain_scores_gemma":[0.998532,0.0002038324,0.0005011083,0.0003252038,0.00028660515,0.000151239],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009571409,0.00014862293,0.0004152542,0.00009119717,0.00014732532,0.000035098958,0.00030749087,0.00008875795,0.00002780685],"category_scores_gemma":[0.00024933243,0.000113097965,0.00010670751,0.00046629875,0.0003258709,0.000907734,0.0000067593965,0.00031502263,1.17965364e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009791853,0.00045436018,0.96575034,0.000671453,0.00012210273,0.000071911265,0.0062350016,0.0041740933,0.0024359406,0.0011805495,0.000030062021,0.017895002],"study_design_scores_gemma":[0.0012006317,0.00029297624,0.99271166,0.000098146156,0.00018192222,0.0000029159187,0.0004070991,0.000024797213,0.0020226568,0.0026030617,0.0003375974,0.00011651246],"about_ca_topic_score_codex":0.000032112257,"about_ca_topic_score_gemma":0.0002599978,"teacher_disagreement_score":0.026961343,"about_ca_system_score_codex":0.000042297706,"about_ca_system_score_gemma":0.000245146,"threshold_uncertainty_score":0.46120012},"labels":[],"label_agreement":null},{"id":"W3196796176","doi":"10.1016/j.jth.2021.101239","title":"A 12-month natural experiment investigating the impacts of replacing a traditional bus service with bus rapid transit on physical activity","year":2021,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"Canadian Institutes of Health Research","keywords":"Transport engineering; Bus rapid transit; Transit (satellite); Service (business); Environmental science; Public transport; Engineering; Automotive engineering; Computer science; Business","score_opus":0.05481630154218241,"score_gpt":0.32840434277021224,"score_spread":0.2735880412280298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3196796176","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9817336,0.00053493324,0.00012841998,0.016705008,0.00021212528,0.00024341255,0.000036876107,0.000016406811,0.00038920823],"genre_scores_gemma":[0.9980013,0.00006934263,0.00049783435,0.00095725845,0.00043008113,0.0000037282075,0.000011161583,0.000014679488,0.000014649394],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9972907,0.00029650613,0.00057924684,0.00024784726,0.0011799618,0.0004057587],"domain_scores_gemma":[0.99818444,0.00022094486,0.0007126361,0.00020895674,0.0003168483,0.00035617594],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013222953,0.00019063508,0.0005669636,0.000060427625,0.00050839805,0.000030511914,0.00026874963,0.00006397692,0.00005065611],"category_scores_gemma":[0.000030501218,0.0001249475,0.00026238593,0.00042419086,0.00024870897,0.0004846205,0.00000268342,0.00070953596,3.237058e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.007301856,0.0096738385,0.26297668,0.002222738,0.0011383254,0.00083749514,0.63766396,0.002387429,0.03984206,0.0031140093,0.00057275756,0.03226887],"study_design_scores_gemma":[0.0021936493,0.0011891032,0.96744955,0.0011079825,0.0001426033,0.0000410208,0.008710298,0.0001209082,0.017656077,0.00047484034,0.00061722443,0.00029672406],"about_ca_topic_score_codex":0.0025969227,"about_ca_topic_score_gemma":0.012608029,"teacher_disagreement_score":0.7044729,"about_ca_system_score_codex":0.00022889787,"about_ca_system_score_gemma":0.0028902262,"threshold_uncertainty_score":0.7035576},"labels":[],"label_agreement":null},{"id":"W3196842432","doi":"10.1016/j.tra.2022.07.008","title":"Who uses green mobility? Exploring profiles in developed countries","year":2022,"lang":"en","type":"article","venue":"Transportation Research Part A Policy and Practice","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Agencia Estatal de Investigación; Gobierno de Aragón; Ministerio de Ciencia e Innovación; Ministerio de Ciencia, Innovación y Universidades","keywords":"Public transport; Sustainable transport; Externality; Mode of transport; Travel behavior; Business; Multinational corporation; Transport engineering; Geography; Demographic economics; Economic geography; Sustainability; Economics; Engineering; Ecology; Finance","score_opus":0.3050621670912029,"score_gpt":0.48152454120160554,"score_spread":0.17646237411040266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3196842432","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9703288,0.00031143124,0.000015258,0.020401109,0.000064143496,0.00071567186,0.00011677722,0.000058191385,0.007988584],"genre_scores_gemma":[0.9957633,0.0009486294,0.0001264467,0.00037234413,0.00018812866,0.0006763207,0.000043646876,0.0000115355315,0.0018696488],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99613637,0.0015287483,0.00036131893,0.00035941874,0.001077996,0.00053617236],"domain_scores_gemma":[0.99699986,0.0023380553,0.0000853787,0.00016056008,0.00026214623,0.00015401014],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0071340287,0.000101621066,0.00016799508,0.00030624509,0.001591578,0.000111041496,0.00024360546,0.000049211776,0.0005581735],"category_scores_gemma":[0.0011933116,0.000109646135,0.000030795265,0.001400444,0.00049902906,0.0019329087,0.000016278715,0.0005455355,0.000008235028],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011921382,0.00041437292,0.68177676,0.00020053661,0.000034539582,0.00009440267,0.19086348,0.000071334216,0.000030991625,0.12080287,0.00062422344,0.0038943538],"study_design_scores_gemma":[0.00030634934,0.00005435915,0.36386248,0.000017478262,0.000008587902,3.2369897e-7,0.027831513,0.000005875373,0.000042328134,0.0024136556,0.6053298,0.00012722983],"about_ca_topic_score_codex":0.12160565,"about_ca_topic_score_gemma":0.066660926,"teacher_disagreement_score":0.6047056,"about_ca_system_score_codex":0.0001693209,"about_ca_system_score_gemma":0.0012006063,"threshold_uncertainty_score":0.99970824},"labels":[],"label_agreement":null},{"id":"W3196909575","doi":"10.1080/15568318.2021.1960450","title":"Responding to the barriers in climate adaptation planning among transport systems: Insights from the case of the port of Montreal","year":2021,"lang":"en","type":"article","venue":"International Journal of Sustainable Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Adaptation (eye); Climate change; Environmental planning; Port (circuit theory); Environmental resource management; Pace; Climate change adaptation; Business; Strategic planning; Process (computing); Scarcity; Process management; Engineering; Computer science; Economics; Environmental science; Geography; Psychology; Marketing","score_opus":0.013021590423398836,"score_gpt":0.2850804678227918,"score_spread":0.27205887739939294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3196909575","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961121,0.00043737108,0.0010500639,0.0010294421,0.0005134504,0.00030525232,0.000068247704,0.0000048228726,0.00047925545],"genre_scores_gemma":[0.99954104,0.000037089212,0.000046912734,0.000048773232,0.00014214372,0.000008230115,0.00002346305,0.00000845791,0.0001439007],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977214,0.00025136815,0.00096072094,0.00014564574,0.0007310214,0.0001898666],"domain_scores_gemma":[0.9974569,0.00029322426,0.0007113054,0.00015013895,0.0013166643,0.00007176248],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012849733,0.00010164586,0.00021875912,0.00020956165,0.0002451026,0.000046990437,0.00052332523,0.00007359631,0.00003202775],"category_scores_gemma":[0.00020159416,0.00006216467,0.00016805138,0.00085000973,0.00016381283,0.0006392315,0.0000061305586,0.00022985258,1.223963e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042084424,0.000056734683,0.7882038,0.00003403055,0.000105109684,0.002482008,0.14313881,0.053852946,0.00014241802,0.011205695,0.00002315989,0.00033443718],"study_design_scores_gemma":[0.00041518026,0.00001801125,0.7413406,0.00023722765,0.00007286196,0.000008031058,0.2559775,0.0001691287,0.00032598068,0.00096140004,0.00041461308,0.00005948728],"about_ca_topic_score_codex":0.033881906,"about_ca_topic_score_gemma":0.06839911,"teacher_disagreement_score":0.1128387,"about_ca_system_score_codex":0.00017331811,"about_ca_system_score_gemma":0.00070891774,"threshold_uncertainty_score":0.9725516},"labels":[],"label_agreement":null},{"id":"W3196953351","doi":"10.1093/ije/dyab168.133","title":"596Two approaches for estimating propensity score weights for examining neighbourhood built environment and walking changes","year":2021,"lang":"en","type":"article","venue":"International Journal of Epidemiology","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Walkability; Built environment; Neighbourhood (mathematics); Relocation; Level design; Demography; Population; Regression analysis; Geography; Environmental health; Medicine; Psychology; Gerontology; Physical activity; Statistics; Mathematics; Physical therapy; Computer science; Engineering","score_opus":0.28523092185174836,"score_gpt":0.3757446699869572,"score_spread":0.09051374813520885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3196953351","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84377015,0.0011800906,0.14515357,0.008416456,0.00096802437,0.00021036397,0.000017455934,0.000007531343,0.0002763638],"genre_scores_gemma":[0.8883081,0.000110501685,0.10961162,0.000381538,0.0014661872,0.000015055849,0.000016092854,0.000007229781,0.00008366539],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986471,0.00024185395,0.00049796555,0.00021936122,0.00016092182,0.00023279931],"domain_scores_gemma":[0.996814,0.0022247634,0.0005623518,0.000068246736,0.00023673358,0.00009388369],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003457641,0.00009222585,0.00034672176,0.00005949058,0.00020403757,0.000031423166,0.00025019402,0.00009097516,0.00005893968],"category_scores_gemma":[0.0035521796,0.00007610481,0.00009932173,0.000027941678,0.0001892051,0.00019424171,0.00004394848,0.00012730491,3.2340583e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013690734,0.00010018636,0.80300117,0.00004175534,0.00021687642,0.000018636785,0.0025354174,0.00017676422,0.00024426766,0.014565106,0.00015168135,0.17881125],"study_design_scores_gemma":[0.0020516815,0.00038357405,0.79289764,0.0003451758,0.00017963216,0.000071091265,0.0017027551,0.0067222505,0.0009786182,0.17420106,0.020082228,0.00038428075],"about_ca_topic_score_codex":0.00008358545,"about_ca_topic_score_gemma":0.00048542817,"teacher_disagreement_score":0.17842697,"about_ca_system_score_codex":0.000088934066,"about_ca_system_score_gemma":0.00013161346,"threshold_uncertainty_score":0.42525473},"labels":[],"label_agreement":null},{"id":"W3197386932","doi":"10.1007/s11116-021-10228-x","title":"A hybrid data fusion methodology for household travel surveys to reduce proxy biases and under-representation of specific sub-group of population","year":2021,"lang":"en","type":"article","venue":"Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Proxy (statistics); Travel survey; Travel behavior; Survey data collection; Geography; Population; Descriptive statistics; Survey methodology; Computer science; Econometrics; Economics; Statistics; Transport engineering; Demography; Sociology; Engineering; Mathematics","score_opus":0.3288126151386405,"score_gpt":0.4111024442606248,"score_spread":0.08228982912198429,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3197386932","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9102773,0.00012109804,0.08785961,0.0002603083,0.00012404077,0.00054446154,0.00076499186,0.000020281988,0.00002793199],"genre_scores_gemma":[0.98611164,0.00012002134,0.009229327,0.000012854639,0.000050610433,0.000012912538,0.004426458,0.000011046898,0.000025136096],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99845904,0.0003131308,0.0004657577,0.00038202325,0.0002463003,0.00013374428],"domain_scores_gemma":[0.9988614,0.00044395155,0.00019842362,0.00026635744,0.00017070053,0.000059171292],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014956604,0.00008521847,0.000259297,0.0000795505,0.00010739196,0.000013548916,0.00013625305,0.00006468742,0.000026940636],"category_scores_gemma":[0.00015139714,0.0000921853,0.00005121508,0.00029655703,0.0000946383,0.00034838336,0.000004276312,0.000042243395,1.4850339e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041411718,0.0003664571,0.63115394,0.00029157958,0.000048756036,0.0000041780004,0.0070177605,0.0004294596,0.30763593,0.010164672,0.000094783405,0.042378347],"study_design_scores_gemma":[0.0003822065,0.000044423752,0.9220927,0.00003849994,0.000057171936,1.290967e-7,0.0011978731,0.000045172925,0.07266938,0.0033356815,0.000048308386,0.000088468696],"about_ca_topic_score_codex":0.005079275,"about_ca_topic_score_gemma":0.01987924,"teacher_disagreement_score":0.29093874,"about_ca_system_score_codex":0.000015436854,"about_ca_system_score_gemma":0.0000548785,"threshold_uncertainty_score":0.9980054},"labels":[],"label_agreement":null},{"id":"W3197427585","doi":"10.32920/ryerson.14653365.v1","title":"Informing the informal: visualizing laneway housing and increased density in Toronto","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Neighbourhood (mathematics); Zoning; Affordable housing; Public housing; Population; Business; Economic growth; Geography; Economic geography; Demographic economics; Sociology; Political science; Economics; Law","score_opus":0.024605095561270312,"score_gpt":0.3297874908291229,"score_spread":0.30518239526785257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3197427585","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9447087,0.00062334613,0.00010831625,0.00017092441,0.0002204857,0.0003219976,0.0000022200618,0.00008333393,0.05376065],"genre_scores_gemma":[0.9987349,0.00025361936,0.0003429471,0.00034382672,0.00014489287,0.000009607543,0.000025574333,0.000007837333,0.00013679055],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99857444,0.00012294,0.0003732859,0.00026634868,0.00034005212,0.0003229399],"domain_scores_gemma":[0.99927294,0.0001415821,0.00013626122,0.0002704321,0.000080103004,0.00009868098],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014922465,0.00016852233,0.00027874525,0.0000328733,0.00043234255,0.00047394395,0.0003027538,0.00026506896,0.00024279852],"category_scores_gemma":[0.00014714774,0.00012732536,0.00007549478,0.00011720144,0.00019735393,0.0007253307,0.00036521253,0.00038424492,8.6908767e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012812494,0.00002447389,0.94759643,0.00010040519,0.000016591317,0.000013951289,0.03914794,0.000005398143,0.000016398486,0.000863812,0.000015290163,0.012186496],"study_design_scores_gemma":[0.00023228867,0.0000060126795,0.9410421,0.00021450795,0.000033444412,4.852351e-7,0.054810207,0.00022194878,0.00016482656,0.0003814631,0.0025307534,0.00036193783],"about_ca_topic_score_codex":0.6203337,"about_ca_topic_score_gemma":0.8913206,"teacher_disagreement_score":0.27098694,"about_ca_system_score_codex":0.00027182544,"about_ca_system_score_gemma":0.0005039539,"threshold_uncertainty_score":0.5192177},"labels":[],"label_agreement":null},{"id":"W3197469164","doi":"10.38105/spr.msm75t69ig","title":"A Main Street framework leveraging data and technology for good","year":2021,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canada Economic Development for Quebec Regions","funders":"","keywords":"Metropolitan area; Business; Work (physics); Real estate; Equity (law); Livelihood; Environmental planning; Geography; Political science; Finance; Agriculture; Engineering","score_opus":0.05175800175629995,"score_gpt":0.3441491864857939,"score_spread":0.29239118472949394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3197469164","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9038798,0.0010185594,0.06119416,0.017852312,0.00024338833,0.00029115603,0.00016324026,0.00021005476,0.015147324],"genre_scores_gemma":[0.9676245,0.00002745887,0.03105656,0.00016464276,0.000084673484,0.0000050881113,0.000034257748,0.0000035067155,0.0009993061],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993751,0.00001764352,0.000087225446,0.00027420704,0.0000683657,0.00017746813],"domain_scores_gemma":[0.9994725,0.00011218131,0.000018069646,0.0003168174,0.00003966155,0.000040779254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003022016,0.000043498727,0.000083741616,0.000021677262,0.00023177918,0.000052250023,0.00026793586,0.00010414209,0.00017620061],"category_scores_gemma":[0.00024647437,0.00004065011,0.0000118045145,0.00025939115,0.00013919227,0.0001587927,0.00008228779,0.00007974473,0.000001130518],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000020086095,0.00003118694,0.8064678,0.000012609761,0.000010646645,0.00000611133,0.00047894745,5.147377e-8,0.00006911552,0.18030122,0.0006602175,0.011960098],"study_design_scores_gemma":[0.00050570536,0.0000247064,0.03389057,0.000052967127,0.000055586457,5.954485e-7,0.030961744,0.00022665791,0.0019309223,0.7461281,0.18587227,0.00035016306],"about_ca_topic_score_codex":0.0002556134,"about_ca_topic_score_gemma":0.013108491,"teacher_disagreement_score":0.7725772,"about_ca_system_score_codex":0.000010994147,"about_ca_system_score_gemma":0.0001425536,"threshold_uncertainty_score":0.73148453},"labels":[],"label_agreement":null},{"id":"W3197492667","doi":"10.1155/2021/7345807","title":"Effects of Coverage Area Treatment, Spatial Analysis Unit, and Regression Model on the Results of Station-Level Demand Modeling of Urban Rail Transit","year":2021,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Science Foundation of Ministry of Education of China; Ministry of Education of the People's Republic of China; National Natural Science Foundation of China; China Postdoctoral Science Foundation; Sichuan Youth Science and Technology Foundation","keywords":"Regression analysis; Transport engineering; Unit (ring theory); Transit (satellite); Urban rail transit; Rail transit; Light rail transit; Subway station; Environmental science; Computer science; Public transport; Engineering; Mathematics","score_opus":0.03240677490966176,"score_gpt":0.29900104701146674,"score_spread":0.266594272101805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3197492667","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87896335,0.00031674036,0.12017447,0.00012234245,0.000042696265,0.00014977323,0.00016401667,0.000003021932,0.000063590946],"genre_scores_gemma":[0.99777466,0.0008423365,0.0012472017,0.000008382108,0.000021313395,0.0000019224126,0.00006096454,0.000006403552,0.00003678803],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9982959,0.00013105308,0.00083166297,0.00015335293,0.00047856927,0.00010947246],"domain_scores_gemma":[0.99805003,0.00037770395,0.00084542,0.00011898771,0.00054488005,0.00006295747],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004216502,0.000118460426,0.00044795068,0.00014624595,0.00010930981,0.000008189183,0.00009174802,0.00006951735,0.000007607009],"category_scores_gemma":[0.000086884975,0.000081302074,0.0002370266,0.00049356546,0.000103786224,0.0003300702,7.9539996e-7,0.00010001922,1.7898731e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019707037,0.00041941894,0.027501632,0.00014557042,0.000396493,0.000015249955,0.034098253,0.9152991,0.016934175,0.00043835674,0.0000022475813,0.0027787818],"study_design_scores_gemma":[0.0105169155,0.00093649316,0.7398417,0.0010398647,0.0041335793,4.7032748e-7,0.0068234024,0.069900125,0.15775192,0.00869043,0.00002249707,0.00034262182],"about_ca_topic_score_codex":0.00044642724,"about_ca_topic_score_gemma":0.0050874376,"teacher_disagreement_score":0.84539896,"about_ca_system_score_codex":0.000030442952,"about_ca_system_score_gemma":0.00022095986,"threshold_uncertainty_score":0.33154023},"labels":[],"label_agreement":null},{"id":"W3197573936","doi":"10.3390/safety7030063","title":"Ride in Peace: How Cycling Infrastructure Types Affect Traffic Conflict Occurrence in Montréal, Canada","year":2021,"lang":"en","type":"article","venue":"Safety","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Cycling; Pedestrian; Transport engineering; Poison control; Traffic congestion; Logit; Human factors and ergonomics; Affect (linguistics); Injury prevention; Engineering; Geography; Environmental health; Psychology; Econometrics; Economics","score_opus":0.011865722386011565,"score_gpt":0.2639878818084681,"score_spread":0.2521221594224565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3197573936","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99259233,0.0023520954,0.000009205431,0.0019572638,0.00036067347,0.00014316771,0.00006232216,0.000024797799,0.0024981692],"genre_scores_gemma":[0.9991868,0.00032931002,0.00004908948,0.0001190902,0.00007224657,0.0000038324915,0.000032498283,0.000004247212,0.00020285312],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99875414,0.00015692308,0.00019611351,0.00028608675,0.00027422435,0.00033249013],"domain_scores_gemma":[0.9995134,0.00014412346,0.000054283097,0.00015654121,0.000044350192,0.00008731313],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038974924,0.00010823677,0.00021001844,0.000035499255,0.00014772384,0.000044632074,0.00019166915,0.00009194559,0.00018606207],"category_scores_gemma":[0.00021285494,0.00010660682,0.000041267685,0.00054074056,0.00009208988,0.00017129813,0.00001790089,0.00029248194,0.0000014894808],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046937206,0.000043333748,0.9686374,0.0000432284,0.000009499347,0.00021123761,0.006321977,0.0025463435,0.000070587674,0.0001516486,0.003023631,0.018894145],"study_design_scores_gemma":[0.00032982053,0.000004269869,0.9471945,0.00004862277,0.000005738441,3.3812265e-7,0.0024742566,0.00013730445,0.0000813415,0.000056521305,0.049509127,0.00015815404],"about_ca_topic_score_codex":0.52879864,"about_ca_topic_score_gemma":0.9955803,"teacher_disagreement_score":0.46678162,"about_ca_system_score_codex":0.00028080432,"about_ca_system_score_gemma":0.001425595,"threshold_uncertainty_score":0.4743391},"labels":[],"label_agreement":null},{"id":"W3197589999","doi":"10.1177/03611981211036682","title":"Reducing Greenhouse Gas Emissions from Long-Distance Business Travel: How Far Can We Go?","year":2021,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"TRIPS architecture; Business; Quarter (Canadian coin); Kilometer; Greenhouse gas; Travel behavior; Business travel; Coronavirus disease 2019 (COVID-19); Geography; Transport engineering; Engineering; Tourism; Medicine","score_opus":0.09846468439713045,"score_gpt":0.3884211724049382,"score_spread":0.2899564880078077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3197589999","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9543862,0.0012873134,0.0022067123,0.039528932,0.0009350263,0.0008032033,0.0004372085,0.000057397985,0.000358028],"genre_scores_gemma":[0.9865977,0.0070024855,0.0010802583,0.000059565515,0.0005830026,0.000031701773,0.000118927856,0.00006470595,0.0044616265],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98804635,0.0024791048,0.0014702968,0.00080841884,0.0057576755,0.0014381732],"domain_scores_gemma":[0.9888435,0.0013969947,0.00060547254,0.000819336,0.007405986,0.0009287255],"candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004601352,0.0003539565,0.00070468587,0.000628888,0.0022614643,0.00051023776,0.0018024187,0.00037055174,0.0012286641],"category_scores_gemma":[0.0006899582,0.00029101598,0.00058471056,0.00510424,0.0015974905,0.0010054052,0.000010640392,0.0029130983,0.000015581612],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001387169,0.0010284589,0.9083161,0.00042944556,0.00034264068,0.0013062574,0.03605182,0.00045393265,0.011363925,0.0025744783,0.00959922,0.027146565],"study_design_scores_gemma":[0.0013163014,0.00011606001,0.9404235,0.000765665,0.00010550097,2.8970854e-7,0.013687345,0.00002144769,0.0032393893,0.0052205427,0.03476694,0.00033701802],"about_ca_topic_score_codex":0.08095153,"about_ca_topic_score_gemma":0.6637702,"teacher_disagreement_score":0.5828187,"about_ca_system_score_codex":0.0005170754,"about_ca_system_score_gemma":0.004037754,"threshold_uncertainty_score":0.9999542},"labels":[],"label_agreement":null},{"id":"W3197755109","doi":"10.1016/j.jtrangeo.2021.103187","title":"Immigrant settlement patterns, transit accessibility, and transit use","year":2021,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Public transport; Immigration; Geography; TRIPS architecture; Transit (satellite); Settlement (finance); Demographic economics; Population; Business; Transport engineering; Demography; Sociology; Engineering; Economics","score_opus":0.020170513008497544,"score_gpt":0.28173057549350367,"score_spread":0.26156006248500613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3197755109","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99105763,0.001892569,0.0034734933,0.0024137169,0.00045037002,0.00020441145,0.00021103185,0.000034468863,0.00026231553],"genre_scores_gemma":[0.9965005,0.0020232643,0.0007908112,0.0003387047,0.00022339169,0.0000031044624,0.000034898163,0.00001917432,0.00006613668],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968824,0.00019135384,0.001069458,0.00040113024,0.0009621629,0.00049350254],"domain_scores_gemma":[0.9983634,0.000101327176,0.000319178,0.00028141265,0.0004959895,0.0004387453],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013190024,0.00025624884,0.0005856657,0.00024883237,0.00037595286,0.00016379602,0.00038652698,0.00017637215,0.0006632944],"category_scores_gemma":[0.00001774986,0.00022719824,0.0007491511,0.0006352039,0.00035465398,0.0013133595,0.0000071364607,0.00044361112,8.675771e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013586755,0.00036260948,0.98882985,0.00011067055,0.00018368397,0.0004467076,0.00548098,0.000011426005,0.0003965715,0.00007491445,0.00004005455,0.0039266716],"study_design_scores_gemma":[0.0010926973,0.00008240089,0.98283994,0.00013837556,0.00035203528,0.000012984409,0.0016886013,0.0000012682299,0.000792503,0.0006537346,0.012079726,0.00026574256],"about_ca_topic_score_codex":0.0013141455,"about_ca_topic_score_gemma":0.0114560835,"teacher_disagreement_score":0.012039672,"about_ca_system_score_codex":0.00003255145,"about_ca_system_score_gemma":0.0002988688,"threshold_uncertainty_score":0.9264875},"labels":[],"label_agreement":null},{"id":"W3197921467","doi":"10.38105/spr.la2mv0fj4g","title":"Equitable bikeway expansion: investigating potential links to gentrification and displacement","year":2021,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Gentrification; Socioeconomic status; Citizen journalism; Globe; Displacement (psychology); Green infrastructure; Regional science; Geography; Sociology; Environmental planning; Economic geography; Economic growth; Political science; Economics; Psychology","score_opus":0.03284791625434109,"score_gpt":0.3136805186000849,"score_spread":0.2808326023457438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3197921467","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9772081,0.00019622062,0.005965607,0.006176332,0.0001961045,0.00016351636,0.0000026376704,0.000052904685,0.010038585],"genre_scores_gemma":[0.9893073,0.000023614639,0.0034396434,0.0006530834,0.00016059322,0.000010099682,0.000013494576,0.0000038571,0.006388321],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99904823,0.000057982492,0.00016089893,0.00025038092,0.00024664152,0.00023585046],"domain_scores_gemma":[0.9995388,0.000023570115,0.00002957547,0.00012633043,0.00009242868,0.00018933989],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041548756,0.000057520687,0.00007924489,0.00002090847,0.00048556412,0.00013116686,0.00008129244,0.000079088786,0.0007729994],"category_scores_gemma":[0.00008654728,0.000053419066,0.000023567261,0.0002504092,0.00007279764,0.00019846632,0.000040144798,0.000069874026,0.000015874466],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029639348,0.00035165966,0.67714906,0.00011432125,0.000046181285,0.00003577511,0.035481103,0.00011415342,0.20131132,0.03217795,0.008678954,0.044509895],"study_design_scores_gemma":[0.0017506748,0.00014723896,0.6200677,0.00019903561,0.00017290596,0.0000021370158,0.055417024,0.0012175475,0.14551958,0.017657455,0.15648109,0.0013675687],"about_ca_topic_score_codex":0.0009031583,"about_ca_topic_score_gemma":0.0018913943,"teacher_disagreement_score":0.14780213,"about_ca_system_score_codex":0.000032722157,"about_ca_system_score_gemma":0.00016249862,"threshold_uncertainty_score":0.8463801},"labels":[],"label_agreement":null},{"id":"W3198226174","doi":"10.1016/bs.atpp.2021.06.002","title":"The social dimensions of children's travel","year":2021,"lang":"en","type":"book-chapter","venue":"Advances in transport policy and planning","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"TRIPS architecture; Social capital; Dimension (graph theory); Psychology; Social relation; Social psychology; Travel behavior; Developmental psychology; Sociology; Transport engineering; Engineering; Social science; Mathematics","score_opus":0.02183624088304092,"score_gpt":0.3272824007985754,"score_spread":0.3054461599155345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3198226174","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04753512,0.049565762,0.000073921954,0.0008163034,0.0003998137,0.00047316743,0.0003754945,0.000047072986,0.9007133],"genre_scores_gemma":[0.93862545,0.016363282,0.000060960752,0.000102731974,0.00082124386,0.000006834822,0.00012570902,0.00002676863,0.04386699],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99849886,0.000032654458,0.00047406295,0.00032215056,0.00032694265,0.00034533144],"domain_scores_gemma":[0.9992456,0.0002578781,0.00021583955,0.00014510966,0.00005788304,0.00007769872],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003929408,0.00022106804,0.00042368093,0.000103454644,0.00079367467,0.000019220466,0.00024411765,0.00028522566,0.000049895072],"category_scores_gemma":[0.00003123938,0.00016588547,0.00015144753,0.000115516465,0.00090050045,0.00021668976,0.00001013375,0.00043839004,6.189255e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009637907,0.00004217196,0.16717024,0.0001269738,0.000098424935,0.00007380823,0.025665238,0.00003203766,0.0000073312253,0.7815947,0.000054974378,0.0250377],"study_design_scores_gemma":[0.0008573844,0.00005181311,0.30395067,0.0011748592,0.00021899698,0.0000028479903,0.003728855,0.0000019198656,0.000050777275,0.09708791,0.5918595,0.0010144188],"about_ca_topic_score_codex":0.0009951692,"about_ca_topic_score_gemma":0.0047073034,"teacher_disagreement_score":0.89109033,"about_ca_system_score_codex":0.000034453005,"about_ca_system_score_gemma":0.0003296734,"threshold_uncertainty_score":0.67646134},"labels":[],"label_agreement":null},{"id":"W3198307365","doi":"10.1111/cag.12711","title":"The power of a simple index of neighbourhood change: Challenging the perception that there is no such thing as simplicity in creating indexes","year":2021,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Earl Haig Secondary School; University of Toronto; McMaster University; Western University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Neighbourhood (mathematics); Perception; Index (typography); Simple (philosophy); Sociology; Computer science; Geography; Regional science; Psychology; Mathematics; Epistemology","score_opus":0.017211635607785696,"score_gpt":0.24928718699611893,"score_spread":0.23207555138833325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3198307365","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98296213,0.0038305332,0.0000017768573,0.0035168552,0.00028894327,0.0004756319,0.000107992426,0.000029743782,0.008786384],"genre_scores_gemma":[0.99604267,0.0031127504,0.00000860167,0.0005267391,0.00012429887,0.00005959664,0.000017633054,0.000026387537,0.000081306156],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99717295,0.00027020002,0.00052828103,0.00045347502,0.0004931062,0.0010820121],"domain_scores_gemma":[0.99777186,0.00048712388,0.00029547157,0.0006185443,0.00044150904,0.00038550343],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0010646004,0.00028705166,0.00041685507,0.00087768235,0.0019078837,0.0001602343,0.0007876224,0.00023727129,0.00046663647],"category_scores_gemma":[0.00031170354,0.00021818635,0.000351749,0.0041325036,0.002141494,0.00045313462,0.000055547323,0.00039713443,0.0000012032807],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001487655,0.000022379632,0.93163145,0.000043698557,0.00007819393,0.000016954698,0.058357142,0.0000037447505,0.000021924832,0.004087087,0.000120672965,0.0056018666],"study_design_scores_gemma":[0.00015691094,0.000032778895,0.80243576,0.0000973453,0.000027517164,0.0000014376378,0.18954559,0.000013261097,0.00003269746,0.0036753425,0.0037637542,0.00021763341],"about_ca_topic_score_codex":0.9481133,"about_ca_topic_score_gemma":0.9984016,"teacher_disagreement_score":0.13118844,"about_ca_system_score_codex":0.00010886901,"about_ca_system_score_gemma":0.00050027476,"threshold_uncertainty_score":0.9993915},"labels":[],"label_agreement":null},{"id":"W3198371683","doi":"10.71781/3039","title":"Toward more sustainable behavior : an investigation into the mobility responses to an involuntary workplace relocation of 10,000 employees in Montreal, Canada","year":2021,"lang":"en","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; McGill University; Université de Montréal; McGill University Health Centre; Jewish Community Foundation","keywords":"Relocation; Business; Psychology; Computer science","score_opus":0.010271041187708552,"score_gpt":0.2285963014728249,"score_spread":0.21832526028511634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3198371683","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944312,0.0022825273,0.000003414176,0.00047235793,0.0002793078,0.00080823386,0.00004237063,0.000043396674,0.0016372214],"genre_scores_gemma":[0.95967793,0.00006354804,0.000108867614,0.0000650436,0.000079525555,0.000097638316,0.00089764764,0.000015927257,0.03899388],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99707586,0.0005522611,0.0004839409,0.0006296128,0.00088261697,0.00037570656],"domain_scores_gemma":[0.997939,0.00013648102,0.0003011653,0.000525394,0.0007553544,0.00034262563],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0007101414,0.00026793833,0.00033857266,0.00022584804,0.0036254914,0.00007379289,0.000625516,0.00032562812,0.000070300914],"category_scores_gemma":[0.00019715092,0.0002785601,0.00009803701,0.0008550487,0.00034241992,0.0008550834,0.000056262077,0.0003205543,7.5463646e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.0009770186,0.00034100105,0.64061016,0.00015223937,0.00003905328,0.0004568721,0.3538448,0.0006662318,0.0005410523,0.00072159834,0.00032735517,0.0013226456],"study_design_scores_gemma":[0.00015492516,0.00004981763,0.6635991,0.00007893225,0.000093003866,0.0000014990827,0.33365673,0.00002450468,0.0009463594,0.0002066594,0.0009867395,0.0002017579],"about_ca_topic_score_codex":0.997194,"about_ca_topic_score_gemma":0.9991323,"teacher_disagreement_score":0.037356656,"about_ca_system_score_codex":0.0071056113,"about_ca_system_score_gemma":0.011275811,"threshold_uncertainty_score":0.9999667},"labels":[],"label_agreement":null},{"id":"W3199112799","doi":"10.1080/02697459.2021.1979786","title":"Smart Growth in Canada’s Provincial North","year":2021,"lang":"en","type":"article","venue":"Planning Practice and Research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Northern British Columbia","funders":"Social Sciences and Humanities Research Council of Canada; University of Northern British Columbia","keywords":"Smart growth; Neighbourhood (mathematics); Sustainability; Context (archaeology); Urban sustainability; Smart city; Sustainable growth rate; Growth management; Geography; Capital (architecture); Economic geography; Capital city; Regional science; Environmental planning; Urban planning; Economic growth; Business; Economics; Land use; Internet of Things; Engineering; Civil engineering; Computer science; Ecology; Computer security","score_opus":0.08596645768354944,"score_gpt":0.4059902330930386,"score_spread":0.3200237754094892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3199112799","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9325184,0.00062507,0.0000030059998,0.009318772,0.00009698905,0.00010643187,0.0000047536214,0.0000087266,0.057317805],"genre_scores_gemma":[0.99854404,0.0001317944,0.0000934281,0.00016807871,0.0001379396,0.0000066623065,0.000008181728,0.0000039375095,0.0009059444],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99802047,0.0005200992,0.00012755248,0.00022984817,0.00070569606,0.00039633678],"domain_scores_gemma":[0.9984066,0.0010372595,0.000027990494,0.00008132518,0.00031773283,0.00012909726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019223031,0.000047074307,0.00008909547,0.00005737802,0.0005277475,0.00011605905,0.00012750596,0.000042223986,0.00006575787],"category_scores_gemma":[0.002831046,0.000044589768,0.000010317523,0.00050414423,0.00012475005,0.0004478368,0.000044576973,0.00051715045,0.000004061086],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040154533,0.00004230972,0.99139816,0.000023916744,0.0000051248635,0.00061332603,0.0049534314,0.0000010553338,0.0000072718226,0.00030112217,0.0014057904,0.0012083445],"study_design_scores_gemma":[0.00014235277,0.000011065507,0.9027387,0.000026133686,0.0000044759804,0.000001603919,0.014464999,0.000009398886,0.000059089285,0.00016596151,0.08230118,0.00007503137],"about_ca_topic_score_codex":0.9800396,"about_ca_topic_score_gemma":0.99671465,"teacher_disagreement_score":0.08865944,"about_ca_system_score_codex":0.00020776512,"about_ca_system_score_gemma":0.008133007,"threshold_uncertainty_score":0.9974899},"labels":[],"label_agreement":null},{"id":"W3199343451","doi":"10.7202/1083290ar","title":"Mobilités quotidiennes des résidents des quartiers prioritaires en France : l’influence des unités urbaines","year":2021,"lang":"fr","type":"article","venue":"Canadian Journal of Regional Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.027133291095548046,"score_gpt":0.2939724542851374,"score_spread":0.26683916318958933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3199343451","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9416985,0.05068101,0.00018025283,0.004838625,0.0014777557,0.00012486707,0.000025879857,0.000011969639,0.0009611588],"genre_scores_gemma":[0.99059874,0.001332652,0.0033841752,0.0002935989,0.0004917425,0.0000029405855,0.0000012198991,0.000016712622,0.0038782067],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99555224,0.00041298394,0.00079233013,0.0005760568,0.0011776648,0.0014887179],"domain_scores_gemma":[0.9933387,0.00036052996,0.0004091463,0.00033745565,0.0029909129,0.0025632246],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0030515937,0.00031717986,0.00044306906,0.0003569782,0.0033562754,0.0005051426,0.0017058247,0.00019040496,0.00037767913],"category_scores_gemma":[0.0021616064,0.00030880555,0.00029625394,0.0038853239,0.028429016,0.0043910844,0.00004118326,0.00050377566,0.00002078075],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012034398,0.00007416413,0.9387247,0.0001285361,0.000032942207,0.0006189962,0.025190447,0.00046463555,0.00068787695,0.0075595593,0.00025072842,0.026255405],"study_design_scores_gemma":[0.00025632838,0.00013281594,0.8970331,0.001069282,0.00006267544,0.00019340104,0.0121268835,0.000034946017,0.000630891,0.06629531,0.021780953,0.00038339722],"about_ca_topic_score_codex":0.09664477,"about_ca_topic_score_gemma":0.48140106,"teacher_disagreement_score":0.3847563,"about_ca_system_score_codex":0.0013642332,"about_ca_system_score_gemma":0.016887894,"threshold_uncertainty_score":0.9999364},"labels":[],"label_agreement":null},{"id":"W3199407374","doi":"10.32866/001c.28107","title":"Hiking with Tobler: Tracking Movement and Calibrating a Cost Function for Personalized 3D Accessibility","year":2021,"lang":"en","type":"article","venue":"Findings","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Bespoke; Terrain; Function (biology); Walkability; Computer science; Preferred walking speed; Tracking (education); Simulation; Transport engineering; Environmental science; Physical medicine and rehabilitation; Engineering; Geography; Medicine; Business; Psychology; Physical activity; Cartography","score_opus":0.03893309837049915,"score_gpt":0.3073854085700848,"score_spread":0.26845231019958565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3199407374","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9849363,0.00016405788,0.011680792,0.00048225274,0.00013104563,0.000453328,0.000018696399,0.00007187961,0.00206163],"genre_scores_gemma":[0.99647826,0.0000073129668,0.0018335601,0.0003559302,0.00015839103,0.000057971207,0.000029091867,0.000011145281,0.0010683209],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99879676,0.000051430805,0.00019850294,0.00039614094,0.00026171625,0.00029547175],"domain_scores_gemma":[0.99945897,0.0001316182,0.00008273289,0.00010566174,0.00013177216,0.00008924782],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006592953,0.00010700739,0.00016955315,0.000026971427,0.0008027861,0.00029529582,0.00008877148,0.000074347976,0.0003054253],"category_scores_gemma":[0.00011946845,0.00009549638,0.000052297095,0.00024197772,0.00014074445,0.0006387711,0.00002006098,0.00010211213,6.387878e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013214308,0.00006450748,0.9666853,0.0001045461,0.000030460422,0.0000048319152,0.013491424,0.00000277494,0.0013226657,0.0029275427,0.00008103152,0.0151528055],"study_design_scores_gemma":[0.0027262399,0.00013181115,0.93599004,0.00028265684,0.0001780306,8.3193123e-7,0.02005721,0.0005890345,0.004027924,0.0054467083,0.029980825,0.0005887024],"about_ca_topic_score_codex":0.0004069132,"about_ca_topic_score_gemma":0.003869496,"teacher_disagreement_score":0.030695241,"about_ca_system_score_codex":0.000096665564,"about_ca_system_score_gemma":0.0001819421,"threshold_uncertainty_score":0.6174463},"labels":[],"label_agreement":null},{"id":"W3199614268","doi":"10.21203/rs.3.rs-775083/v2","title":"ALF-Score - a Novel Approach to Build a Predictive Network-Based Walkability Scoring System","year":2021,"lang":"en","type":"preprint","venue":"Research Square","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; Memorial University of Newfoundland","funders":"","keywords":"Walkability; Computer science; Built environment; Pipeline (software); Consistency (knowledge bases); Feature (linguistics); Data mining; Artificial intelligence; Transport engineering; Engineering; Civil engineering","score_opus":0.1211102556845098,"score_gpt":0.3983090287786856,"score_spread":0.27719877309417584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3199614268","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89417577,0.0012260966,0.049736023,0.0007812654,0.0011299934,0.0076235663,0.00047578177,0.00069420616,0.044157326],"genre_scores_gemma":[0.9918047,0.000015587346,0.0042656446,0.000032866745,0.0018256234,0.0014023443,0.00029456321,0.00005744935,0.00030120206],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99006265,0.0017192344,0.00071388896,0.0021285198,0.0035124617,0.0018632598],"domain_scores_gemma":[0.99451464,0.0006594245,0.00017084047,0.0017236253,0.0019990753,0.0009324022],"candidate_categories":["metaepi_narrow","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.010505855,0.00044001758,0.0008418821,0.0003096489,0.0015511452,0.00090929255,0.0018240531,0.0008054597,0.00010544853],"category_scores_gemma":[0.0010759748,0.00043485494,0.0004841865,0.002141359,0.00075068383,0.00026468083,0.0011123536,0.0028121797,0.000016281823],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00052167085,0.0017887581,0.9281277,0.011418106,0.000224424,0.00007301157,0.018922683,0.03285144,0.00006304717,0.0031132826,0.0011047121,0.0017911558],"study_design_scores_gemma":[0.001367556,0.0003831048,0.901085,0.01461442,0.00019279862,0.0000011935529,0.048384707,0.024639629,0.0002729142,0.0012817984,0.0056175482,0.0021593126],"about_ca_topic_score_codex":0.022972163,"about_ca_topic_score_gemma":0.0070763803,"teacher_disagreement_score":0.09762898,"about_ca_system_score_codex":0.0023900345,"about_ca_system_score_gemma":0.0047752117,"threshold_uncertainty_score":0.99981034},"labels":[],"label_agreement":null},{"id":"W3199919359","doi":"10.31235/osf.io/hkpfj","title":"Suburbanization of transport poverty","year":2020,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Suburbanization; Disadvantage; Poverty; Socioeconomic status; Geography; Demographic economics; Inequality; Perspective (graphical); Low income; Economic geography; Development economics; Economic growth; Socioeconomics; Economics; Demography; Political science; Population; Sociology; Metropolitan area","score_opus":0.028432478783248855,"score_gpt":0.2736049513113379,"score_spread":0.24517247252808902,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3199919359","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8225497,0.00003646607,0.005875135,0.0044222986,0.00006042106,0.00012240533,0.0000065115837,0.00009810036,0.16682895],"genre_scores_gemma":[0.9984692,0.0000067496667,0.0001714277,0.00067581347,0.00006354773,5.350349e-7,0.0000070958945,0.000002624035,0.00060305774],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995189,0.00001483527,0.00012463587,0.000093914874,0.00016844078,0.00007932271],"domain_scores_gemma":[0.99979407,0.000009841506,0.000028110953,0.00004599013,0.00005134595,0.00007065633],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009520165,0.000031644657,0.000074399824,0.0000074182117,0.000055005177,0.0000038972485,0.00010760738,0.00003446173,0.0020615088],"category_scores_gemma":[0.000022129165,0.000027271444,0.00003776737,0.00024729577,0.00006694792,0.00015365821,0.0000018390789,0.000028236096,0.000009143163],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009804855,0.000021694264,0.98429507,0.0000117830905,0.0000032324836,6.1479466e-7,0.0053959293,0.0000022005486,0.00031627435,0.008746707,0.00080280966,0.00039388446],"study_design_scores_gemma":[0.0002784553,0.00003654561,0.9441119,0.000004958595,0.000023470451,1.0329671e-8,0.0015887547,0.000060590293,0.0047223032,0.001246639,0.04778824,0.00013816218],"about_ca_topic_score_codex":0.00116654,"about_ca_topic_score_gemma":0.0010639401,"teacher_disagreement_score":0.17591943,"about_ca_system_score_codex":0.000006310615,"about_ca_system_score_gemma":0.00006270136,"threshold_uncertainty_score":0.99885076},"labels":[],"label_agreement":null},{"id":"W3200747040","doi":"10.1016/j.urbmob.2021.100006","title":"Employer-paid transit subsidies and travel behaviour: Experimental evidence from Vancouver hotels","year":2021,"lang":"en","type":"article","venue":"Journal of Urban Mobility","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Subsidy; Business; Transit (satellite); Tourism; Transport engineering; Urban transit; Economics; Public transport; Geography; Engineering; Market economy","score_opus":0.03740014162800594,"score_gpt":0.31247359740480996,"score_spread":0.27507345577680403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3200747040","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98730016,0.01096111,0.0003301737,0.00031744476,0.0006919644,0.00013942277,0.000030660056,0.000017811517,0.0002112786],"genre_scores_gemma":[0.9983818,0.00023986054,0.00062705483,0.00007364765,0.0003698683,0.0000031876386,0.0000020484292,0.000010408948,0.000292107],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99772376,0.0003217515,0.0006629506,0.00034391755,0.00065936346,0.00028824492],"domain_scores_gemma":[0.9985364,0.0003136077,0.00026506017,0.0002559542,0.0003411295,0.00028784224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001155922,0.00017160038,0.0004524882,0.000042295585,0.00030592651,0.00011221997,0.00029144937,0.00013873017,0.0007898923],"category_scores_gemma":[0.00021001647,0.00015312186,0.00026676233,0.00019626097,0.000520977,0.001059216,0.000025709873,0.00033879688,0.000002287425],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013091844,0.000466124,0.9664111,0.000015006588,0.00004049101,0.00010283813,0.020886261,0.000001373945,0.01027269,0.00000988947,0.0012236742,0.00043959837],"study_design_scores_gemma":[0.00051987055,0.00011191203,0.9530016,0.00011316716,0.00010698902,0.0000026932623,0.010765563,0.000002551967,0.033988193,0.0006671428,0.000531144,0.00018917398],"about_ca_topic_score_codex":0.0023001125,"about_ca_topic_score_gemma":0.013195909,"teacher_disagreement_score":0.023715502,"about_ca_system_score_codex":0.00016636816,"about_ca_system_score_gemma":0.00043374443,"threshold_uncertainty_score":0.8648767},"labels":[],"label_agreement":null},{"id":"W3201477767","doi":"","title":"A Tale of Four Canadian Cities: LRT Systems and the COVID-19 Pandemic","year":2021,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Geography; Virology; History; Medicine; Infectious disease (medical specialty); Outbreak","score_opus":0.025549097310488784,"score_gpt":0.24466255247851676,"score_spread":0.21911345516802797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3201477767","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940648,0.00091509137,0.0000019380198,0.0010649294,0.0003208941,0.00034160053,0.00013037617,0.00001919939,0.0031411373],"genre_scores_gemma":[0.7043536,0.00037534052,0.000012037834,0.000024953704,0.000029623296,4.639702e-7,0.00014267697,0.0000054803772,0.29505584],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99893844,0.00019237914,0.00012285209,0.00023567672,0.0002884983,0.0002221232],"domain_scores_gemma":[0.99904746,0.00012634139,0.00021850734,0.00019470038,0.00017034344,0.00024265118],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005697083,0.00011835307,0.00038113073,0.00013352491,0.00058279576,0.000034502315,0.0003638432,0.00025776806,0.0002749775],"category_scores_gemma":[0.000077378965,0.00011125931,0.00012911498,0.00020987696,0.00065949664,0.00014723475,0.000014913907,0.00016198367,0.0000017086759],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013383085,0.000014088637,0.20314507,0.00087592116,0.00011886744,0.00003960926,0.7925336,0.000005572135,0.00004494681,0.0015958828,0.0013263322,0.00016631577],"study_design_scores_gemma":[0.0007281653,0.000017964509,0.019866832,0.00013223718,0.00017431978,7.8132666e-7,0.9721528,0.000012844493,0.000003633181,0.000284203,0.0064606457,0.00016552687],"about_ca_topic_score_codex":0.9916845,"about_ca_topic_score_gemma":0.99805766,"teacher_disagreement_score":0.29191467,"about_ca_system_score_codex":0.00018300132,"about_ca_system_score_gemma":0.0014789894,"threshold_uncertainty_score":0.4537023},"labels":[],"label_agreement":null},{"id":"W3201563899","doi":"10.4018/ijagr.2021100104","title":"The Effect of Socioeconomic and Environmental Factors on Obesity","year":2021,"lang":"en","type":"article","venue":"International Journal of Applied Geospatial Research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Obesity; Socioeconomic status; Poverty; Geography; Regression analysis; Statistics; Lag; Demography; Population; Association (psychology); Spatial analysis; Econometrics; Environmental health; Mathematics; Medicine; Psychology; Computer science; Economic growth; Economics; Sociology","score_opus":0.020119099294445945,"score_gpt":0.35148798501818074,"score_spread":0.3313688857237348,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3201563899","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958255,0.00009675247,0.000011703561,0.0005783041,0.0002193398,0.000082927516,0.00001294257,0.0000016669325,0.0031708386],"genre_scores_gemma":[0.999403,0.00020959247,0.000010560818,0.000010032355,0.00025143908,0.0000015371503,0.000004576827,0.0000035435532,0.00010573473],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998386,0.00017547824,0.00024283811,0.00010105486,0.0009421384,0.00015248632],"domain_scores_gemma":[0.9983517,0.0012539661,0.00013409264,0.00006127584,0.000121644145,0.00007730533],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002108314,0.000053077216,0.00012180849,0.000056107936,0.00028867624,0.00008028933,0.00038165055,0.000049686136,0.00024378343],"category_scores_gemma":[0.00015907112,0.00003566619,0.00007541286,0.00003952624,0.00048810543,0.00007995038,0.00005787474,0.00031103267,0.000005180886],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011686011,0.00016799683,0.93131584,0.000009436591,0.00022702575,0.00003186943,0.004179373,0.000031395262,0.0051164497,0.0047528655,0.00031189062,0.052687235],"study_design_scores_gemma":[0.001300708,0.00042769167,0.89115924,0.00002939412,0.000019630941,0.0000013408649,0.0046835276,0.000026753043,0.08578779,0.008174967,0.008274542,0.00011443544],"about_ca_topic_score_codex":0.00021165123,"about_ca_topic_score_gemma":0.00042032189,"teacher_disagreement_score":0.08067133,"about_ca_system_score_codex":0.00015475748,"about_ca_system_score_gemma":0.00015939685,"threshold_uncertainty_score":0.26692575},"labels":[],"label_agreement":null},{"id":"W3201911303","doi":"10.21203/rs.3.rs-848582/v1","title":"Exploring the relationship between the urban built environment and elderly pedestrian mobility in South Asian cities","year":2021,"lang":"en","type":"preprint","venue":"Research Square","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Pedestrian; Economic geography; Geography; Regional science; Built environment; Transport engineering; Civil engineering; Engineering; Archaeology","score_opus":0.3300847187698495,"score_gpt":0.4057456788252171,"score_spread":0.0756609600553676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3201911303","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98991513,0.0014422281,0.00002979696,0.0052187666,0.00010658473,0.0014087065,0.0000643124,0.00003457836,0.0017799077],"genre_scores_gemma":[0.9982936,0.00025058456,0.000022383105,0.0000061802257,0.0005036874,0.0004755864,0.00005498631,0.00001698027,0.00037603098],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99415904,0.0026305064,0.0004225486,0.00069675274,0.0014242848,0.0006668891],"domain_scores_gemma":[0.9962764,0.0024027203,0.000094463845,0.0009568685,0.00009291523,0.00017667928],"candidate_categories":["sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0081281895,0.00019791201,0.000287174,0.00014195095,0.0017457904,0.0006874685,0.000908494,0.00023155939,0.000115269155],"category_scores_gemma":[0.0013846325,0.00013389267,0.00013993202,0.00046761698,0.0015950857,0.00031076028,0.0005737303,0.0025974384,0.000007416069],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008453342,0.000033646076,0.906606,0.00016189147,0.00001178577,0.00000567294,0.09074035,0.000010015648,2.7531166e-7,0.00032313706,0.000013492832,0.0020852792],"study_design_scores_gemma":[0.00009807381,0.000023439332,0.8996147,0.0001862564,0.000013064435,3.3388535e-8,0.092102855,0.0000028177255,0.000004546527,0.007035036,0.00078978244,0.00012938035],"about_ca_topic_score_codex":0.013553768,"about_ca_topic_score_gemma":0.018081851,"teacher_disagreement_score":0.008378462,"about_ca_system_score_codex":0.00036253696,"about_ca_system_score_gemma":0.0006690356,"threshold_uncertainty_score":0.9998356},"labels":[],"label_agreement":null},{"id":"W3202038194","doi":"10.32866/001c.28117","title":"Using Photovoice to Explore Teenagers’ Public Transit Experiences in a Suburban City","year":2021,"lang":"en","type":"article","venue":"Findings","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Photovoice; Transit (satellite); Public transport; Flexibility (engineering); Transport engineering; Psychology; Engineering; Economic growth","score_opus":0.1955824900834364,"score_gpt":0.3600421138071358,"score_spread":0.1644596237236994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3202038194","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9921626,0.000088467044,0.0003452895,0.001380608,0.0002694747,0.0001972623,0.0000040088726,0.00006789551,0.005484436],"genre_scores_gemma":[0.99828225,0.0000056094273,0.0006202978,0.00033988815,0.000102879814,0.000035727633,0.000005673026,0.000009180417,0.00059851113],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99831426,0.000092275295,0.00025027254,0.00043445308,0.00039974332,0.000508969],"domain_scores_gemma":[0.99943656,0.0000544455,0.000035431236,0.000177245,0.00008375498,0.0002125697],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00053867564,0.00012115171,0.00020527339,0.00012535346,0.00041859163,0.00021065206,0.00033000356,0.0001077034,0.001445892],"category_scores_gemma":[0.00018292101,0.00012592012,0.00008614247,0.00147266,0.0001689,0.000669264,0.000027702756,0.00015930456,0.000013740752],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010185947,0.00008841001,0.63754654,0.000011543166,0.000005040137,0.00006246817,0.35835165,0.0000020128548,0.0032061678,0.00021563742,0.00016768515,0.00033264962],"study_design_scores_gemma":[0.0008116775,0.00004514094,0.43768033,0.00017454005,0.000026778747,0.0000021724727,0.47446945,0.000060353206,0.03041394,0.0011819573,0.054202963,0.00093067985],"about_ca_topic_score_codex":0.0034352303,"about_ca_topic_score_gemma":0.0112642115,"teacher_disagreement_score":0.19986622,"about_ca_system_score_codex":0.00015424662,"about_ca_system_score_gemma":0.0003062834,"threshold_uncertainty_score":0.9994669},"labels":[],"label_agreement":null},{"id":"W3202558882","doi":"10.1155/2021/9808922","title":"Micromobility Station Placement Optimization for a Rural Setting","year":2021,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Population; Software deployment; Workflow; Geographic information system; Transport engineering; Traffic congestion; Geography; Computer science; Business; Environmental planning; Engineering; Environmental health; Cartography; Medicine","score_opus":0.012201284802714298,"score_gpt":0.30900505247637655,"score_spread":0.29680376767366223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3202558882","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8443682,0.00017023199,0.15413834,0.00057859294,0.00040466685,0.00022864541,0.000035502802,0.0000144442865,0.000061338804],"genre_scores_gemma":[0.94452477,0.00008945532,0.054948483,0.000051241223,0.00012739877,0.00000803654,0.0001815321,0.000007747935,0.00006136713],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9988016,0.000062309526,0.00056202355,0.00011380342,0.00030142855,0.00015884473],"domain_scores_gemma":[0.99843127,0.00010730532,0.00044703513,0.00006560705,0.0008753738,0.000073427196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063450873,0.00007520105,0.00015838994,0.000047189278,0.00021993223,0.000035545334,0.00007552796,0.00005428403,0.0001194755],"category_scores_gemma":[0.00011075788,0.00007667122,0.00013490822,0.00020373015,0.000045771027,0.000828442,5.915863e-7,0.0000887034,2.2698424e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00093025935,0.00047229213,0.09260837,0.00023594276,0.0000883941,0.000023559247,0.037036646,0.82712364,0.016127547,0.0010293308,0.00013030384,0.024193693],"study_design_scores_gemma":[0.0066193077,0.0004102294,0.8758398,0.00035527322,0.00039363737,0.0000025695078,0.08149909,0.0009264687,0.018701553,0.006582232,0.008119974,0.00054982293],"about_ca_topic_score_codex":0.000025946238,"about_ca_topic_score_gemma":0.0009137096,"teacher_disagreement_score":0.8261972,"about_ca_system_score_codex":0.000114874965,"about_ca_system_score_gemma":0.00033662596,"threshold_uncertainty_score":0.31265613},"labels":[],"label_agreement":null},{"id":"W3202722368","doi":"10.3311/pptr.16871","title":"The Influence of Education Level on Urban Travel Decision-making","year":2021,"lang":"en","type":"article","venue":"Periodica Polytechnica Transportation Engineering","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Transport Canada","funders":"","keywords":"Per capita; Modal; Higher education; Proxy (statistics); Population; Sustainable development; Economic growth; Travel behavior; Business; Demographic economics; Geography; Economics; Political science; Sociology; Demography; Microeconomics; Statistics; Mathematics","score_opus":0.012716852817652828,"score_gpt":0.28437536553204196,"score_spread":0.2716585127143891,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3202722368","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99026364,0.00044987007,0.0075049666,0.00039284065,0.00024722124,0.00018514898,0.00003482728,0.000092984636,0.0008284956],"genre_scores_gemma":[0.9968029,0.000116157986,0.0027528026,0.000060720467,0.000074363605,0.00003734776,0.000016590624,0.000015553444,0.00012351283],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99852496,0.000024933785,0.00045595947,0.00025615725,0.0004822245,0.0002557634],"domain_scores_gemma":[0.99896336,0.00031960814,0.00011787948,0.00031226358,0.00019947714,0.00008740507],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003519867,0.00013115452,0.00016865291,0.00007830452,0.00045037846,0.00006317105,0.00031743213,0.0001105553,0.00007133919],"category_scores_gemma":[0.00029013187,0.00011878961,0.00011971478,0.00057031494,0.00017682303,0.00021439641,0.0000031388283,0.00020275169,0.0000037243713],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039937886,0.0015381058,0.31301275,0.0005023321,0.00022695806,0.000052111638,0.073170505,0.1140782,0.07205617,0.22896206,0.001024105,0.19497733],"study_design_scores_gemma":[0.000105535284,0.000015175676,0.98912454,0.00023485463,0.000024375791,2.7265608e-7,0.0011542606,0.000079075435,0.0013999777,0.0003096999,0.0073913923,0.00016083384],"about_ca_topic_score_codex":0.0001543054,"about_ca_topic_score_gemma":0.0010552955,"teacher_disagreement_score":0.6761118,"about_ca_system_score_codex":0.00006679214,"about_ca_system_score_gemma":0.0006272394,"threshold_uncertainty_score":0.48441},"labels":[],"label_agreement":null},{"id":"W3203301835","doi":"10.1155/2021/3790888","title":"Rebalancing Strategy for Bike-Sharing Systems Based on the Model of Level of Detail","year":2021,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Natural Science Foundation of Zhejiang Province; Natural Science Foundation of Ningbo","keywords":"Bike sharing; Renting; Computer science; Scheme (mathematics); Genetic algorithm; Service (business); Operations research; Cluster analysis; Transport engineering; Business; Artificial intelligence; Machine learning; Engineering; Marketing","score_opus":0.1295995574093835,"score_gpt":0.3415656497697453,"score_spread":0.2119660923603618,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3203301835","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9019065,0.00015600568,0.09713103,0.00018341442,0.0001722241,0.00017344984,0.00007574288,0.000004533591,0.00019710038],"genre_scores_gemma":[0.9969798,0.00002529092,0.0028211742,0.000019017201,0.000055384415,0.0000042242905,0.0000115981875,0.000007621381,0.00007589146],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9986447,0.00003601385,0.00067446526,0.00010949197,0.00040882485,0.000126519],"domain_scores_gemma":[0.99824935,0.00019236462,0.00069237454,0.000115669434,0.00070584356,0.000044395605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007712583,0.00007375308,0.0002488439,0.000054773274,0.000107622225,0.00001438916,0.00016591484,0.00005384433,0.000012349692],"category_scores_gemma":[0.000080172606,0.000055757755,0.0001749975,0.00021157908,0.00006254567,0.00031131873,5.619616e-7,0.00011232616,5.6333274e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023228588,0.000110250505,0.034745537,0.00021805607,0.000027897648,0.0000034096092,0.0029531748,0.93346035,0.02046134,0.006881012,0.000005842458,0.0009008541],"study_design_scores_gemma":[0.0056063784,0.0007311443,0.7102019,0.0024534496,0.0006016186,8.722847e-7,0.04007308,0.09190303,0.11778255,0.02979271,0.00027504485,0.00057817757],"about_ca_topic_score_codex":0.00008034034,"about_ca_topic_score_gemma":0.0011544332,"teacher_disagreement_score":0.8415573,"about_ca_system_score_codex":0.00003841337,"about_ca_system_score_gemma":0.0003927173,"threshold_uncertainty_score":0.22737353},"labels":[],"label_agreement":null},{"id":"W3203538327","doi":"10.51250/jheal.v1i3.24","title":"Systematic Review of Active Travel to School Surveillance in the United States And Canada","year":2021,"lang":"en","type":"article","venue":"Journal of Healthy Eating and Active Living","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Office of Disease Prevention; National Institutes of Health","keywords":"Schedule; Travel survey; Travel behavior; Geography; Data collection; Transport engineering; Computer science; Engineering; Sociology","score_opus":0.01681771514818956,"score_gpt":0.3116794665152037,"score_spread":0.2948617513670141,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3203538327","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9898677,0.0069081476,0.00002143992,0.002804035,0.000043727556,0.00019809372,0.000009007709,0.0000010927482,0.0001467638],"genre_scores_gemma":[0.99301654,0.0055273115,0.00006778696,0.0013292313,0.000041350217,0.0000023048628,8.33631e-7,0.0000025779702,0.000012042993],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982673,0.0007488836,0.00046958652,0.000083350846,0.00029080032,0.00014010386],"domain_scores_gemma":[0.9976202,0.0015059214,0.00043704096,0.000059291906,0.00027343017,0.00010410338],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002201012,0.00005929743,0.00037148886,0.00004663912,0.00018310147,0.000026671984,0.0000923484,0.000019426221,0.000009682761],"category_scores_gemma":[0.0026621984,0.000039806408,0.000025713765,0.00032614917,0.000035455552,0.00012583841,0.000009320496,0.0002066677,2.6623999e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000641314,0.000112820795,0.82555574,0.11119571,0.00008755572,0.000050212562,0.06134985,0.000012816076,0.00008327886,0.00007313025,0.00018436827,0.0012304072],"study_design_scores_gemma":[0.000103670805,0.0000652478,0.839748,0.072971255,0.000026160635,0.000006497786,0.08690043,0.000012649172,0.000025777164,0.000047357327,0.000026477048,0.00006644474],"about_ca_topic_score_codex":0.33725056,"about_ca_topic_score_gemma":0.5537918,"teacher_disagreement_score":0.21654123,"about_ca_system_score_codex":0.00011462347,"about_ca_system_score_gemma":0.000802786,"threshold_uncertainty_score":0.6671627},"labels":[],"label_agreement":null},{"id":"W3204079049","doi":"10.1111/gean.12305","title":"Disentangling Time Use, Food Environment, and Food Behaviors Using Multi‐Channel Sequence Analysis","year":2021,"lang":"en","type":"article","venue":"Geographical Analysis","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University; Western University; Concordia University; The Scarborough Hospital; University of Waterloo; University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; Canada Research Chairs","keywords":"Channel (broadcasting); Workflow; Geography; Computer science; Telecommunications","score_opus":0.05147991595747818,"score_gpt":0.29181679740507477,"score_spread":0.24033688144759657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3204079049","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9914628,0.0005165413,0.007459161,0.00017150877,0.000024222974,0.00009880975,0.00017611185,0.000060062885,0.000030730713],"genre_scores_gemma":[0.9977835,0.00025001224,0.0015645031,0.000058021677,0.000044181375,0.0000075247117,0.00016010017,0.000010146284,0.000122032805],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997495,0.00024971023,0.0004101397,0.0008044739,0.00055761845,0.00048307402],"domain_scores_gemma":[0.998893,0.00011451188,0.00014472942,0.00040710348,0.00009481493,0.00034579268],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000441698,0.00020965874,0.0005567708,0.0005932798,0.000762639,0.00025350694,0.00021728704,0.00018265081,0.000622026],"category_scores_gemma":[0.00006157238,0.00020738009,0.00097567093,0.00664677,0.0005922742,0.00040934805,0.0000829258,0.0001977149,0.0000035641508],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003535771,0.0001525376,0.9953821,0.0000048444954,0.0027175143,0.000017814955,0.0005037236,0.00092524407,0.00012875734,0.000042026586,4.3592655e-7,0.000121473124],"study_design_scores_gemma":[0.00021970796,0.000027740442,0.9570496,0.0000064047135,0.02232394,3.5636677e-7,0.0007448083,0.0186629,0.000087908644,0.0003921437,0.00008609089,0.00039837084],"about_ca_topic_score_codex":0.0028598595,"about_ca_topic_score_gemma":0.023503685,"teacher_disagreement_score":0.038332466,"about_ca_system_score_codex":0.00004976484,"about_ca_system_score_gemma":0.00004449216,"threshold_uncertainty_score":0.99431485},"labels":[],"label_agreement":null},{"id":"W3204753771","doi":"10.1186/s13690-021-00691-4","title":"Protocol for an evaluation of the Designing Communities to Support Healthy Living in Aging Residents Study","year":2021,"lang":"en","type":"article","venue":"Archives of Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Public Health Agency; Public Health Agency of Canada","keywords":"Neighbourhood (mathematics); Audit; Psychological intervention; Intervention (counseling); Built environment; Health informatics; Qualitative research; Medicine; Gerontology; Public health; Psychology; Environmental health; Nursing; Sociology; Engineering; Business; Civil engineering","score_opus":0.3589231241053929,"score_gpt":0.5046538432164955,"score_spread":0.14573071911110264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3204753771","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9339961,0.0000065352383,0.00068264623,0.0024700966,0.000040301067,0.061711714,0.0000063569823,0.000011877312,0.001074373],"genre_scores_gemma":[0.9795919,8.7755234e-7,0.0010231726,0.0002293202,0.000029992725,0.01908833,0.0000042428655,0.000006279685,0.000025858866],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99448115,0.003937078,0.00052298285,0.00015544698,0.0005670973,0.0003362403],"domain_scores_gemma":[0.9984968,0.00061712234,0.00023741789,0.00031865694,0.00019043777,0.0001395926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012687322,0.00006207837,0.00019875726,0.00012170042,0.00045369653,0.00004064035,0.000406784,0.00001739768,0.000034066874],"category_scores_gemma":[0.0007509733,0.000053223095,0.000043554304,0.0003814432,0.0001231057,0.00029465428,0.00006836587,0.00010747669,9.891986e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000101392,0.00048136202,0.7663033,0.00012930953,0.0000039259025,4.8058755e-8,0.21257558,0.000014447218,0.000014315762,0.00019437203,0.0000110646915,0.020262131],"study_design_scores_gemma":[0.0005167353,0.00032402377,0.90897053,0.00015141036,0.0000030642723,3.018813e-8,0.088506065,0.000118671924,0.00003288781,0.0012069582,0.00012606154,0.000043532844],"about_ca_topic_score_codex":0.028473532,"about_ca_topic_score_gemma":0.2752927,"teacher_disagreement_score":0.24681917,"about_ca_system_score_codex":0.00008567388,"about_ca_system_score_gemma":0.0045422334,"threshold_uncertainty_score":0.97799593},"labels":[],"label_agreement":null},{"id":"W3204823944","doi":"10.1155/2021/9922660","title":"Forecasting Passenger Flow Distribution on Holidays for Urban Rail Transit Based on Destination Choice Behavior Analysis","year":2021,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Transport engineering; Matching (statistics); Urban rail transit; Public transport; Variable (mathematics); Computer science; Service (business); Distribution (mathematics); Flow (mathematics); Transit (satellite); Econometrics; Statistics; Engineering; Mathematics; Business; Marketing","score_opus":0.030368420229065725,"score_gpt":0.31488964903682215,"score_spread":0.28452122880775643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3204823944","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8560223,0.000041852396,0.14247897,0.0005475735,0.0003138413,0.00028419364,0.00020474965,0.00002459949,0.000081928585],"genre_scores_gemma":[0.9927738,0.000011560426,0.0058423863,0.00007873906,0.00027818757,0.000026865579,0.00092951366,0.000014186874,0.00004478694],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.998086,0.00009670201,0.0006551895,0.00026328684,0.000643787,0.00025505768],"domain_scores_gemma":[0.99792546,0.000406266,0.0005106261,0.00012855967,0.0008907939,0.00013829439],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064961624,0.00015581699,0.00032986025,0.00017157347,0.00040557663,0.000058598373,0.00012323148,0.00011620777,0.00006843223],"category_scores_gemma":[0.0002661952,0.00015309438,0.00047686658,0.0009544431,0.00005583618,0.00060004217,3.6088704e-7,0.0002169955,4.6350593e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001330597,0.0016014415,0.43369743,0.00013585333,0.00026713422,0.00013240335,0.0065022185,0.50491863,0.003296834,0.00087621075,0.00010817441,0.047133066],"study_design_scores_gemma":[0.0018935673,0.0002900887,0.9851608,0.00011167015,0.0013961662,3.1189035e-7,0.0007135449,0.004089705,0.0039831935,0.00030068777,0.0018366677,0.00022358702],"about_ca_topic_score_codex":0.000028889386,"about_ca_topic_score_gemma":0.0022614296,"teacher_disagreement_score":0.55146337,"about_ca_system_score_codex":0.00018925805,"about_ca_system_score_gemma":0.00023006623,"threshold_uncertainty_score":0.6243008},"labels":[],"label_agreement":null},{"id":"W3205413407","doi":"10.1016/j.jth.2021.101190","title":"The Contribution of Daily Mobility and Activities to the Spread of COVID-19: A Case Study from Montreal, Canada.","year":2021,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Geography; Virology; Medicine; Outbreak; Internal medicine","score_opus":0.026207027487610425,"score_gpt":0.33667073370621675,"score_spread":0.3104637062186063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3205413407","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98330635,0.0022839368,0.00033054367,0.013163657,0.00021190131,0.00043692425,0.0002374585,0.0000035851992,0.000025622663],"genre_scores_gemma":[0.999137,0.00033967863,0.00002891345,0.0003716275,0.00008819447,0.000003583569,0.0000039806578,0.000003905671,0.000023151988],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99769354,0.0004663546,0.00083633553,0.00015115678,0.0006216112,0.00023099418],"domain_scores_gemma":[0.9978426,0.00062131864,0.0005943427,0.00023172304,0.00033287468,0.00037712383],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031246387,0.00009413048,0.00043800878,0.000024576299,0.0006485273,0.000018778685,0.00022012315,0.000040130082,0.000028826784],"category_scores_gemma":[0.0002099106,0.00005723212,0.00009451388,0.00025225786,0.00023033352,0.0001462392,0.0000072722137,0.00021607752,2.2120084e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032863964,0.00041891812,0.9446324,0.000045881367,0.00009986703,0.00042375922,0.0512292,0.000055469147,0.00002961903,0.000045625173,0.00040954817,0.0022810786],"study_design_scores_gemma":[0.0006884855,0.0002082341,0.89133763,0.00003273758,0.000091444315,0.000020517142,0.10219171,0.000003004062,0.000084373925,0.00026095763,0.005019957,0.000060947135],"about_ca_topic_score_codex":0.9697023,"about_ca_topic_score_gemma":0.99877733,"teacher_disagreement_score":0.053294763,"about_ca_system_score_codex":0.0002692608,"about_ca_system_score_gemma":0.008993954,"threshold_uncertainty_score":0.9966241},"labels":[],"label_agreement":null},{"id":"W3205838098","doi":"10.18280/ijsdp.160511","title":"The Social and the Impact of COVID-19 on Social Behavior in Streets of Amman, Jordan","year":2021,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Pandemic; Public space; Coronavirus disease 2019 (COVID-19); Space (punctuation); Public health; Public relations; Geography; Political science; Business; Economic growth; Engineering; Medicine; Architectural engineering; Computer science; Economics","score_opus":0.04230791558185777,"score_gpt":0.3801480202313452,"score_spread":0.33784010464948744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3205838098","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974245,0.00030244928,0.000016339234,0.0014634205,0.00007765426,0.00007180635,0.0000030618867,0.0000013424551,0.0006394605],"genre_scores_gemma":[0.99955297,0.000049197017,0.00003564112,0.000028145285,0.00011419441,0.000002106479,0.0000028082886,0.000002296372,0.0002126363],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989328,0.00011271391,0.00035923737,0.000064498825,0.00039263818,0.00013814057],"domain_scores_gemma":[0.9988809,0.0002959579,0.0003149185,0.000020437765,0.00044504335,0.00004271086],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014212587,0.000058967413,0.0001501843,0.00008968546,0.00041766465,0.000075469565,0.00019214707,0.000039856397,0.000023442462],"category_scores_gemma":[0.00030105954,0.00003615151,0.00006448786,0.00012445715,0.00027393078,0.00014737282,0.00003482295,0.00013986083,3.272501e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010375876,0.00010479869,0.82901084,0.000024667164,0.00015701276,0.00053361285,0.14674284,0.00004210392,0.000022698216,0.012314244,0.00032121319,0.009688381],"study_design_scores_gemma":[0.0010778799,0.000019959269,0.86588264,0.000024582645,0.000012083435,0.0000029298167,0.12965874,0.0000034082336,0.000098740886,0.002032077,0.0011386668,0.00004827402],"about_ca_topic_score_codex":0.00080316217,"about_ca_topic_score_gemma":0.00033397303,"teacher_disagreement_score":0.036871813,"about_ca_system_score_codex":0.00017633238,"about_ca_system_score_gemma":0.0011826172,"threshold_uncertainty_score":0.3212381},"labels":[],"label_agreement":null},{"id":"W3206873133","doi":"10.1155/2021/1925354","title":"Accessibility Assessment of Prehospital Emergency Medical Services considering Supply-Demand Differences","year":2021,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"China Postdoctoral Science Foundation; Postdoctoral Innovation Project of Shandong Province; National Natural Science Foundation of China","keywords":"Supply and demand; Emergency medical services; Catchment area; Service (business); Weighting; Population; Operations management; Transport engineering; Computer science; Medical emergency; Business; Medicine; Engineering; Drainage basin; Geography","score_opus":0.015726257130462058,"score_gpt":0.34146365858502303,"score_spread":0.325737401454561,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3206873133","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958865,0.00085524097,0.0013436511,0.00046393214,0.00082639535,0.00011779641,0.000019760822,0.0000147297205,0.00047199568],"genre_scores_gemma":[0.9956903,0.0010619694,0.003011722,0.000018334806,0.00015321602,0.000002865059,0.000020166399,0.000007138155,0.000034331635],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971714,0.00013386254,0.0011332625,0.00021289015,0.0011438632,0.00020471562],"domain_scores_gemma":[0.9980591,0.00011430274,0.0007816989,0.00013376863,0.0007142121,0.00019689891],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008368475,0.00012434575,0.00040255216,0.00006266023,0.000159832,0.000024570603,0.00029226177,0.00011688383,0.0013709525],"category_scores_gemma":[0.00008423536,0.00010854275,0.00020801436,0.00031811767,0.00015991375,0.0011419499,0.0000043884825,0.00024646192,2.7764392e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003822764,0.0002511787,0.98831046,0.00021298607,0.000049728413,0.000051379706,0.006778547,0.00017057957,0.0015344524,0.00046904123,0.000003828222,0.002129613],"study_design_scores_gemma":[0.00057260593,0.00006658954,0.9871731,0.00019997027,0.00007302461,8.848928e-7,0.0060380287,0.00001437633,0.0017213282,0.003934574,0.00009657429,0.00010896577],"about_ca_topic_score_codex":0.00012915756,"about_ca_topic_score_gemma":0.0066537447,"teacher_disagreement_score":0.006524587,"about_ca_system_score_codex":0.000046435267,"about_ca_system_score_gemma":0.0007278165,"threshold_uncertainty_score":0.99954194},"labels":[],"label_agreement":null},{"id":"W3207002012","doi":"10.1016/j.jth.2021.101164","title":"Active School Transportation and the Built Environment across Canadian Cities: Findings from the Child Active Transportation Safety and the Environment (CHASE) Study","year":2021,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University; Parachute; Institut National de la Recherche Scientifique; University of Calgary; Institute for Clinical Evaluative Sciences; Toronto Metropolitan University; University of Toronto; SickKids Foundation; York University; Hospital for Sick Children; Public Health Ontario","funders":"","keywords":"Transport engineering; Built environment; Environmental planning; Environmental health; Business; Geography; Engineering; Civil engineering; Medicine","score_opus":0.013597968808160183,"score_gpt":0.2806540501411637,"score_spread":0.2670560813330035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3207002012","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.954039,0.0022591515,0.00039159937,0.040830106,0.00017453816,0.001282754,0.0009239822,0.000008038137,0.00009087146],"genre_scores_gemma":[0.99137104,0.006768212,0.000048961505,0.0014112012,0.00019068002,0.000024141762,0.00010110284,0.000018588129,0.00006605406],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99658567,0.0006009508,0.0010481351,0.00037733745,0.0008897508,0.0004981306],"domain_scores_gemma":[0.99814457,0.0004614109,0.00056991045,0.00027865483,0.000070309085,0.00047516465],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0030350247,0.00025753875,0.00061559025,0.000039691262,0.0025221899,0.000088880304,0.00036627668,0.00011551368,0.0003550917],"category_scores_gemma":[0.00002925086,0.000145199,0.00023926265,0.00018220741,0.0012494772,0.0005002107,0.0000031323887,0.0008292254,0.0000013831415],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0027138575,0.00023819029,0.54324937,0.000024898383,0.00037730232,0.00005827462,0.44738364,0.00019120793,0.000004765265,0.000579075,0.000028635906,0.0051507666],"study_design_scores_gemma":[0.0051435083,0.000090288755,0.878975,0.000059191472,0.00025336797,0.0000015818725,0.107599005,0.000004120452,0.000017924382,0.0006270166,0.007093935,0.00013509064],"about_ca_topic_score_codex":0.29181564,"about_ca_topic_score_gemma":0.7720006,"teacher_disagreement_score":0.48018494,"about_ca_system_score_codex":0.00040231697,"about_ca_system_score_gemma":0.0010450938,"threshold_uncertainty_score":0.9987764},"labels":[],"label_agreement":null},{"id":"W3207133495","doi":"10.1016/j.rtbm.2021.100720","title":"An income-based approach to modeling commuting distance in the Toronto area","year":2021,"lang":"en","type":"article","venue":"Research in Transportation Business & Management","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Census; Metropolitan area; Urban agglomeration; Geography; Transport engineering; Distance decay; Economics; Demographic economics; Economic geography; Engineering; Sociology; Demography","score_opus":0.1203034581440799,"score_gpt":0.40396331072908864,"score_spread":0.28365985258500875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3207133495","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88534766,0.00025243912,0.096203044,0.0018821624,0.00006314839,0.0010218335,0.000010130378,0.000040315197,0.015179276],"genre_scores_gemma":[0.9973239,0.00009200695,0.0020299025,0.0001049761,0.000042350577,0.00018421208,0.00017105545,0.000011407198,0.000040209074],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99692017,0.00045651617,0.00042512978,0.00045151133,0.0011729383,0.00057375286],"domain_scores_gemma":[0.9989785,0.000117919815,0.000035235826,0.0004405735,0.000330109,0.00009768012],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005859244,0.00011259589,0.00016058008,0.00015433447,0.00042272106,0.00020651025,0.00066466146,0.000056349767,0.00004058918],"category_scores_gemma":[0.000029243527,0.00010122289,0.000035552705,0.002491155,0.000102676415,0.00069583155,0.000008240376,0.00022678614,0.0000015654568],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025423395,0.002333929,0.63177836,0.0008734834,0.000017151253,0.00032287344,0.047286734,0.24433292,0.000049315728,0.049180947,0.000023818568,0.023546252],"study_design_scores_gemma":[0.0004637874,0.000005997104,0.9482315,0.00020055946,0.0000068928985,2.1868138e-8,0.04108197,0.0077039744,0.0000086284645,0.0013032599,0.00083654636,0.00015686746],"about_ca_topic_score_codex":0.023922797,"about_ca_topic_score_gemma":0.40960214,"teacher_disagreement_score":0.38567933,"about_ca_system_score_codex":0.00037079045,"about_ca_system_score_gemma":0.00016981231,"threshold_uncertainty_score":0.98257697},"labels":[],"label_agreement":null},{"id":"W3207646122","doi":"10.46747/cfp.6710739","title":"Cycling for health","year":2021,"lang":"en","type":"review","venue":"Canadian Family Physician","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"College of Family Physicians of Canada; St. Michael's Hospital","funders":"","keywords":"Cycling; Mental health; Greenhouse gas; Occupational safety and health; Suicide prevention; Poison control; Health impact assessment; Medicine; Physical activity; Climate change; Human factors and ergonomics; Business; Environmental health; Public relations; Nursing; Public health; Political science; Psychiatry; Physical therapy","score_opus":0.10025499113485242,"score_gpt":0.3916122968785285,"score_spread":0.2913573057436761,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3207646122","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000012299673,0.9397908,0.000030010722,0.0002932239,0.0007810431,0.0009970128,0.00058432197,0.000044113924,0.057478275],"genre_scores_gemma":[0.000009123123,0.97740453,0.00010376386,0.019259965,0.0015197307,0.00011466762,0.0006359705,0.000051983796,0.00090023456],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99774545,0.00018247517,0.00044974257,0.0005276397,0.00019759979,0.000897081],"domain_scores_gemma":[0.99835783,0.00012263947,0.00023406354,0.00036287855,0.00009400032,0.00082860625],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00049612985,0.00027787537,0.0013588734,0.0001547118,0.0009664388,0.00015187902,0.0005096321,0.00025228242,0.0000072540947],"category_scores_gemma":[0.000025028172,0.00029290604,0.00070926524,0.0005946588,0.00014271059,0.0001236607,0.000008603879,0.00027447316,0.000037357673],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[1.3761618e-7,0.0000100203415,0.0000028325323,0.001809605,0.00003678234,0.000004427216,0.00017968757,5.661516e-8,9.11264e-9,0.0019807487,0.016746234,0.97922945],"study_design_scores_gemma":[0.000038191505,0.0000074551112,0.000010593747,0.0034087563,0.000108119966,1.2539138e-8,0.00038981682,1.9838215e-7,1.954903e-8,0.00022130528,0.995527,0.0002885054],"about_ca_topic_score_codex":0.12359261,"about_ca_topic_score_gemma":0.47078663,"teacher_disagreement_score":0.97894096,"about_ca_system_score_codex":0.0011589567,"about_ca_system_score_gemma":0.015992494,"threshold_uncertainty_score":0.9999523},"labels":[],"label_agreement":null},{"id":"W3207995650","doi":"10.16997/ats.1206","title":"E-micromobility, Cycling, and ‘Good’ Active Travel","year":2021,"lang":"en","type":"article","venue":"Active Travel Studies","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Cycling; Commons; Affordance; Sociology; Business; Political science; Geography; Law; Computer science","score_opus":0.05959438163071352,"score_gpt":0.363273904266243,"score_spread":0.3036795226355295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3207995650","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9602507,0.002624156,0.00007798929,0.0014349477,0.0003095336,0.00028096038,0.0000679755,0.000050888873,0.03490285],"genre_scores_gemma":[0.9956638,0.0015461682,0.00018773082,0.00016968668,0.00020102612,0.000029774763,0.000008259082,0.000013030356,0.0021804983],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998191,0.00019416519,0.00026198124,0.00059922447,0.00032316335,0.00043044647],"domain_scores_gemma":[0.9987814,0.00041451157,0.000104101106,0.00020098781,0.00036929344,0.00012971529],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003896869,0.00021532051,0.00045477902,0.00003993845,0.00093683763,0.000059097994,0.00016916255,0.00011753378,0.00014347209],"category_scores_gemma":[0.00032895475,0.00019814618,0.00012260611,0.0003081637,0.001124795,0.00038171772,0.000081852486,0.0002553657,0.0000101660435],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030383028,0.0013405497,0.45023113,0.00024275604,0.0020368772,0.00017784013,0.4064517,6.823084e-7,0.01694245,0.012365956,0.0008052211,0.109101005],"study_design_scores_gemma":[0.0004185416,0.000035760488,0.8351689,0.00003189961,0.00009987299,9.311459e-7,0.12238949,6.534272e-7,0.030658819,0.009517288,0.0014219497,0.00025592296],"about_ca_topic_score_codex":0.0012746674,"about_ca_topic_score_gemma":0.011024107,"teacher_disagreement_score":0.38493773,"about_ca_system_score_codex":0.00015211289,"about_ca_system_score_gemma":0.00020474906,"threshold_uncertainty_score":0.80801666},"labels":[],"label_agreement":null},{"id":"W3208026959","doi":"10.3390/su132112075","title":"Influence of Socio-Cultural Attributes on Stigmatizing Public Transport in Saudi Arabia","year":2021,"lang":"en","type":"article","venue":"Sustainability","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Public transport; Perception; Stigma (botany); Business; Feeling; Service (business); Service quality; Internet privacy; Marketing; Psychology; Transport engineering; Social psychology; Engineering; Computer science","score_opus":0.02505859984235284,"score_gpt":0.3134547960849737,"score_spread":0.2883961962426208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3208026959","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99120384,0.00014635424,0.000018685569,0.0067725726,0.000050037605,0.00035926068,0.000022390752,0.0000615394,0.0013653194],"genre_scores_gemma":[0.9995488,0.000020065354,0.00005250847,0.000074526324,0.00004016518,0.000021980346,0.000022801032,0.000006299446,0.00021286671],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975652,0.00042302324,0.0005255296,0.00045169942,0.0004917547,0.0005427727],"domain_scores_gemma":[0.9975771,0.0002856823,0.00012632554,0.00035764254,0.001516349,0.0001369363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018996123,0.00014851228,0.00034305983,0.000064379616,0.00037678666,0.000042642263,0.0003132261,0.00015880873,0.00014371869],"category_scores_gemma":[0.0032007676,0.0001406604,0.00015421871,0.00097517896,0.0008678927,0.0007155969,0.000023983528,0.00033345693,0.0000021296935],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002239354,0.00027077852,0.977059,0.00022204626,0.0000073111323,0.000025966914,0.009466901,0.00020423297,0.00007090564,0.011822648,0.000018055023,0.0008097444],"study_design_scores_gemma":[0.00025004847,0.000019964808,0.9525749,0.00003050712,0.000008377608,1.0694961e-7,0.012536681,0.0000030316153,0.0004609034,0.032955654,0.0010110949,0.00014870764],"about_ca_topic_score_codex":0.0038020592,"about_ca_topic_score_gemma":0.010920701,"teacher_disagreement_score":0.024484094,"about_ca_system_score_codex":0.0009687025,"about_ca_system_score_gemma":0.0017762566,"threshold_uncertainty_score":0.60940075},"labels":[],"label_agreement":null},{"id":"W3208034806","doi":"10.32920/ryerson.14666292.v1","title":"Defining Accessibility: A Snapshot of Accessibility Planning and a Review of Practice in Ontario","year":2021,"lang":"en","type":"review","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"","keywords":"Snapshot (computer storage); Point (geometry); Field (mathematics); Political science; Environmental planning; Business; Public relations; Geography; Computer science","score_opus":0.10054320480348769,"score_gpt":0.4374039421906542,"score_spread":0.3368607373871665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3208034806","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006270512,0.9494057,0.000008097166,0.000049920218,0.00012412533,0.0011431337,0.000022073378,0.000018483861,0.048601378],"genre_scores_gemma":[0.0010515288,0.99715656,0.0012517412,0.00010682082,0.000025423096,0.000058027905,0.00014185108,0.000018661602,0.00018940205],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9939849,0.0013550266,0.002508951,0.0009877188,0.0007328857,0.00043056035],"domain_scores_gemma":[0.9945979,0.002264973,0.0018155053,0.0007663452,0.00039566885,0.0001596211],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0069050067,0.00041528267,0.0037053558,0.00019016358,0.000121738696,0.00007464713,0.00076284114,0.00044722596,0.0021229978],"category_scores_gemma":[0.004089471,0.00034219812,0.00053534424,0.0013347865,0.00049871526,0.0009959979,0.00022822068,0.0008829863,0.0000010074839],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018069319,0.0005162706,0.15543865,0.22998185,0.00017726362,0.00004808049,0.006676649,6.2949226e-8,6.566242e-8,0.0013399333,0.00013483064,0.60566825],"study_design_scores_gemma":[0.00018642997,0.000029619487,0.010197767,0.26853147,0.001130798,0.0000025620427,0.00097320956,1.6894049e-7,9.62787e-7,0.00021258931,0.7182947,0.00043973376],"about_ca_topic_score_codex":0.13031748,"about_ca_topic_score_gemma":0.24173725,"teacher_disagreement_score":0.71815985,"about_ca_system_score_codex":0.0004114387,"about_ca_system_score_gemma":0.0065008323,"threshold_uncertainty_score":0.999903},"labels":[],"label_agreement":null},{"id":"W3208090679","doi":"10.32920/ryerson.14668410.v1","title":"Secure bicycle parking: downtown Toronto office buildings","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Downtown; Zoning; Transport engineering; Traffic congestion; Business; Cycling; Environmental planning; Engineering; Civil engineering; Geography","score_opus":0.0243282817350295,"score_gpt":0.31579291199037823,"score_spread":0.29146463025534874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3208090679","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65654653,0.0020999936,0.00057498924,0.00093453604,0.001419063,0.000348142,0.000017293118,0.00032706006,0.3377324],"genre_scores_gemma":[0.987868,0.00026286943,0.0018687017,0.0003116294,0.0008673468,0.000027966254,0.000084808504,0.000020782034,0.00868787],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99744797,0.00013978482,0.00039700526,0.0008602672,0.0006495156,0.0005054807],"domain_scores_gemma":[0.99867743,0.00007710907,0.00018128451,0.0005925789,0.00022677938,0.00024483286],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00078456145,0.0002774898,0.00041793945,0.000025718924,0.00043104353,0.000551278,0.00086928636,0.00060449645,0.019030467],"category_scores_gemma":[0.000085123276,0.00026362404,0.00031217482,0.00016095818,0.00022140464,0.00043016297,0.00032719894,0.00049861474,0.000020010171],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010837629,0.0013106716,0.77217895,0.0010043235,0.0005468601,0.00016995014,0.13499555,0.00010068742,0.00081166124,0.0207226,0.025838923,0.042211466],"study_design_scores_gemma":[0.00050555426,0.00003083908,0.33817628,0.0004520467,0.00027095134,5.239567e-7,0.031754084,0.00006428763,0.0011127195,0.0049883104,0.62055385,0.0020905538],"about_ca_topic_score_codex":0.23057555,"about_ca_topic_score_gemma":0.3945185,"teacher_disagreement_score":0.59471494,"about_ca_system_score_codex":0.00038976374,"about_ca_system_score_gemma":0.00079378317,"threshold_uncertainty_score":0.9999816},"labels":[],"label_agreement":null},{"id":"W3208319182","doi":"10.32920/ryerson.14661927.v1","title":"Planning Policies to Support the Role of Active Transportation in Building Complete Communities Within the Town of Innisfil","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Plan (archaeology); Transportation planning; Argument (complex analysis); Order (exchange); Business; Environmental planning; Pedestrian; Sustainable transport; Urban planning; Transport engineering; Sustainability; Geography; Engineering; Civil engineering; Finance","score_opus":0.06413593728072467,"score_gpt":0.3467654189992847,"score_spread":0.28262948171856006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3208319182","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9882854,0.00014433483,0.00019714431,0.0007499008,0.000106410436,0.00048014603,0.00016551845,0.000020910857,0.009850203],"genre_scores_gemma":[0.9992219,0.000013841751,0.00036205485,0.00013530372,0.000039967825,0.000035533365,0.000102533704,0.000008364041,0.000080475955],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9983333,0.00027997632,0.0005872171,0.00016348442,0.00043485677,0.00020121704],"domain_scores_gemma":[0.99875784,0.000286571,0.00035123556,0.00037453667,0.00019336086,0.000036454272],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001149911,0.00015107793,0.00038225486,0.000094229,0.00028135526,0.00006494202,0.0008850281,0.00013534549,0.00020158055],"category_scores_gemma":[0.00003113727,0.00009802408,0.00012890821,0.0003540655,0.00058325863,0.00014352814,0.000083625455,0.00051096914,1.6608585e-7],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041297742,0.000051978594,0.3463445,0.0000528808,0.000035756708,9.066681e-7,0.64322716,0.002725157,0.0006999385,0.005608961,0.000012751779,0.0011986969],"study_design_scores_gemma":[0.00007536954,0.000020833906,0.49558917,0.00020131239,0.000032992397,4.0627768e-8,0.4973831,0.00006943256,0.0028089783,0.0032943836,0.00040537227,0.00011902659],"about_ca_topic_score_codex":0.24862783,"about_ca_topic_score_gemma":0.25499928,"teacher_disagreement_score":0.14924468,"about_ca_system_score_codex":0.000052433228,"about_ca_system_score_gemma":0.0004457908,"threshold_uncertainty_score":0.75859505},"labels":[],"label_agreement":null},{"id":"W3208383781","doi":"10.1177/03611981211049409","title":"Car Ownership and the Built Environment: A Spatial Modeling Approach","year":2021,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Centre interuniversitaire de recherche sur les reseaux d'entreprise, la logistique et le transport","keywords":"Car ownership; Econometrics; Built environment; Spatial econometrics; Variance (accounting); Econometric model; Variables; Spatial analysis; Spatial dependence; Aggregate (composite); Control variable; Business; Statistics; Economics; Transport engineering; Accounting; Mathematics; Public transport; Engineering","score_opus":0.13636670471384948,"score_gpt":0.38378824825497126,"score_spread":0.24742154354112178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3208383781","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97816247,0.0011837693,0.008119117,0.010186579,0.00029484663,0.0009362464,0.000034256424,0.000020885023,0.0010618353],"genre_scores_gemma":[0.9944295,0.0027706765,0.0011117558,0.00006827752,0.00038583163,0.000061043334,0.000017827011,0.000033762724,0.001121287],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98948723,0.0034821248,0.0011740696,0.0005010236,0.004432186,0.0009233908],"domain_scores_gemma":[0.9955433,0.0011677118,0.00031254484,0.000521631,0.0020220738,0.00043274777],"candidate_categories":["sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.010631964,0.00021856347,0.0004759474,0.00033119478,0.0020416086,0.00030485837,0.0011349352,0.00022652763,0.00038207578],"category_scores_gemma":[0.00035415177,0.00013809637,0.00044280646,0.0013860243,0.0026516647,0.0006768977,0.000011332844,0.002386414,0.000007637934],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004708059,0.00081154244,0.8588011,0.000497164,0.00047457273,0.0002632557,0.07794305,0.0069987644,0.0011636502,0.031756025,0.0011594223,0.0154233705],"study_design_scores_gemma":[0.0061538997,0.00020207549,0.8977162,0.00029162288,0.00024379247,7.2536153e-7,0.039520133,0.0034823478,0.0005361673,0.030515146,0.020889467,0.00044838258],"about_ca_topic_score_codex":0.07130822,"about_ca_topic_score_gemma":0.16558911,"teacher_disagreement_score":0.09428088,"about_ca_system_score_codex":0.00020205398,"about_ca_system_score_gemma":0.00119687,"threshold_uncertainty_score":0.9999151},"labels":[],"label_agreement":null},{"id":"W3208786600","doi":"10.1016/j.wss.2021.100062","title":"Examining how children's gender influences parents’ perceptions of the local environment and their influence on children's independent mobility","year":2021,"lang":"en","type":"article","venue":"Wellbeing Space and Society","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Lawson Health Research Institute; Children’s Health Research Institute; Western University","funders":"Children's Health Research Institute","keywords":"Social connectedness; Psychology; Perception; Neighbourhood (mathematics); Psychological intervention; Logistic regression; Developmental psychology; Demography; Social psychology; Medicine","score_opus":0.012774248668165402,"score_gpt":0.2315757761585835,"score_spread":0.2188015274904181,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3208786600","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99824584,0.00037978755,0.00025031585,0.00063348527,0.00004598892,0.00022757024,0.00002629455,0.00002274507,0.00016800652],"genre_scores_gemma":[0.998972,0.00056168396,0.00008899849,0.0001979095,0.000057191046,0.00000778008,0.0000069559756,0.0000074431823,0.000100016994],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99858004,0.00017649362,0.00016829188,0.00044527807,0.00035998327,0.00026990168],"domain_scores_gemma":[0.99934226,0.00010403607,0.000108559594,0.0002992911,0.00003930467,0.000106541505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046252093,0.00016633641,0.00020121109,0.000011112516,0.00087246264,0.000096054,0.00019812628,0.00015019438,0.00003634807],"category_scores_gemma":[0.000037211827,0.000118885146,0.00013295656,0.00014799756,0.0012562207,0.00022372215,0.00011591908,0.00028759544,6.532615e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000028496272,0.000075215146,0.970372,0.000011246914,0.000043346605,2.3229403e-7,0.027909037,0.00015326697,0.0004856041,0.00026370218,0.000019478486,0.00066401024],"study_design_scores_gemma":[0.00018702478,0.00001807102,0.96733755,0.000032680047,0.000029414528,6.429279e-7,0.031072836,0.000018196608,0.00070859445,0.00041954577,0.00004101207,0.00013442666],"about_ca_topic_score_codex":0.0006637756,"about_ca_topic_score_gemma":0.0002023053,"teacher_disagreement_score":0.0031638013,"about_ca_system_score_codex":0.000059160036,"about_ca_system_score_gemma":0.00009695462,"threshold_uncertainty_score":0.67103654},"labels":[],"label_agreement":null},{"id":"W3208985865","doi":"10.1136/bmjopen-2020-046271","title":"Association between built environment and physical activity in Latin American countries: a multicentre cross-sectional study","year":2021,"lang":"en","type":"article","venue":"BMJ Open","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Universidad San Francisco de Quito; Pontificia Universidad Católica de Chile; Pontificia Universidad Javeriana; Universidad de Costa Rica; Coca-Cola","keywords":"Walkability; Built environment; Neighbourhood (mathematics); Medicine; Environmental health; Level design; Cross-sectional study; Public health; Physical activity; Gerontology; Metropolitan area; Population; Logistic regression; Latin Americans; Demography; Physical therapy","score_opus":0.06992812625116575,"score_gpt":0.42213512920308893,"score_spread":0.3522070029519232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3208985865","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996781,0.0000027086787,0.000008098734,0.0005518798,0.000035450194,0.0017842758,0.000042889373,0.000010141099,0.0007835601],"genre_scores_gemma":[0.99829656,0.0000029667697,0.000043415057,0.000026582435,0.00015513529,0.00011354166,0.000009935991,0.000004146155,0.0013477101],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986551,0.00027821297,0.00014760476,0.00029206806,0.0004450437,0.00018200805],"domain_scores_gemma":[0.9993813,0.00025395188,0.00014496126,0.00012533859,0.00003325145,0.000061206425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010210398,0.000069548914,0.00020054985,0.000013777053,0.0002493353,0.0002853946,0.00016427392,0.000038921167,0.00014957854],"category_scores_gemma":[0.00015017173,0.00007078751,0.000027283524,0.0001552493,0.00011813463,0.00036004206,0.000117403826,0.00011696183,0.0000137500965],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036045527,0.00039049584,0.99110836,0.000004452805,0.00002793073,0.0000052477462,0.0075735087,0.000004559016,0.000011545924,0.0000090721105,0.000013231174,0.0008155633],"study_design_scores_gemma":[0.00059451547,0.000025056806,0.9958338,0.000004533962,0.000015432084,1.1053559e-8,0.0025234662,0.000024009749,0.00004364769,0.00008674662,0.00075604155,0.00009269632],"about_ca_topic_score_codex":0.021623185,"about_ca_topic_score_gemma":0.038417757,"teacher_disagreement_score":0.01679457,"about_ca_system_score_codex":0.0002968021,"about_ca_system_score_gemma":0.00017084269,"threshold_uncertainty_score":0.9848919},"labels":[],"label_agreement":null},{"id":"W3209952877","doi":"10.32920/ryerson.14667984.v1","title":"Does an Increase in Population Density Increases Transit Mode Split? Going Beyond the Contemporaneous Correlation Between Built Form and Public Transit Mode Share","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Public transport; Mode (computer interface); Transit (satellite); Credence; Population; Econometrics; Population density; Transport engineering; Mode choice; Geography; Demographic economics; Statistics; Demography; Economics; Computer science; Mathematics; Engineering; Sociology","score_opus":0.03408379998124015,"score_gpt":0.3060628616217651,"score_spread":0.27197906164052493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3209952877","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99219316,0.00026390702,0.0029034216,0.001439421,0.00018879148,0.0013765027,0.00040708127,0.00019281404,0.0010348908],"genre_scores_gemma":[0.99531084,0.000087276625,0.0003301274,0.00014967275,0.00029556616,0.00005122799,0.0036143719,0.000032734577,0.00012817052],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99612415,0.0006951494,0.0008684433,0.0010477155,0.0007299792,0.0005345896],"domain_scores_gemma":[0.9980982,0.00037207865,0.00029592004,0.0006218979,0.00027096522,0.0003409588],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013438201,0.00043976057,0.0007556501,0.00018575633,0.00082045834,0.00078461505,0.00048090424,0.00070492976,0.00018043473],"category_scores_gemma":[0.00018860148,0.00030182416,0.00021880365,0.00035620068,0.00030252896,0.0015527674,0.000107051754,0.0008627443,0.000001173125],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008881709,0.00016596659,0.9789966,0.00016510664,0.000048106125,0.000030389645,0.014760566,0.00027400427,0.000016629447,0.0005847163,0.0000071058585,0.004861988],"study_design_scores_gemma":[0.0005623195,0.00002253406,0.9634233,0.00017214833,0.00019979793,0.0000014687262,0.0056552934,0.00884632,0.000029779096,0.020477371,0.00003317129,0.00057647686],"about_ca_topic_score_codex":0.4906348,"about_ca_topic_score_gemma":0.83063954,"teacher_disagreement_score":0.34000474,"about_ca_system_score_codex":0.00027690787,"about_ca_system_score_gemma":0.000520936,"threshold_uncertainty_score":0.9999434},"labels":[],"label_agreement":null},{"id":"W3210120538","doi":"10.1287/msom.2021.1023","title":"Urban Bike Lane Planning with Bike Trajectories: Models, Algorithms, and a Real-World Case Study","year":2021,"lang":"en","type":"article","venue":"Manufacturing & Service Operations Management","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Heuristics; Computer science; Multinomial logistic regression; Bike sharing; TRIPS architecture; Transportation planning; Variance (accounting); Metropolitan area; Operations research; Transport engineering; Mathematical optimization; Business; Machine learning; Engineering; Mathematics","score_opus":0.03751734610616693,"score_gpt":0.3043572411316996,"score_spread":0.2668398950255327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3210120538","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98386836,0.000103241895,0.0011377091,0.00075927086,0.00013375175,0.00081855303,0.000015209782,0.00018275814,0.012981152],"genre_scores_gemma":[0.9915451,0.00004100271,0.003009679,0.0002730537,0.00014180719,0.00010637366,0.000047826437,0.00002329284,0.0048119007],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9982275,0.00013072568,0.00029103874,0.00059150974,0.00040200903,0.00035723243],"domain_scores_gemma":[0.9992392,0.00003650601,0.000047603848,0.00042103985,0.00010710157,0.00014856311],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0003665691,0.0002211048,0.00022736166,0.00014317225,0.0013845381,0.0005495042,0.00020435164,0.000041073177,0.00011898837],"category_scores_gemma":[0.0000020935718,0.00019920853,0.000029642042,0.0005146708,0.00005532258,0.0006338389,0.000103136044,0.00015697294,0.0000049160267],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015484417,0.003471869,0.46889693,0.0010972021,0.0015091219,0.033947702,0.40039688,0.0660487,0.000017850807,0.008065975,0.0009583955,0.015434508],"study_design_scores_gemma":[0.0038851106,0.00026056237,0.36128852,0.00031862487,0.0010571195,0.00006945493,0.6010601,0.007511632,0.0004689047,0.000586818,0.021676175,0.0018169902],"about_ca_topic_score_codex":0.06649631,"about_ca_topic_score_gemma":0.4318411,"teacher_disagreement_score":0.3653448,"about_ca_system_score_codex":0.000110069464,"about_ca_system_score_gemma":0.000082452825,"threshold_uncertainty_score":0.99991554},"labels":[],"label_agreement":null},{"id":"W3210199378","doi":"10.32920/ryerson.14650002.v1","title":"Traversing physical barriers and activating social voids","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Interpersonal ties; Built environment; Social psychology; Feeling; Social isolation; Place attachment; Mood; Sociology; Psychology; Engineering; Civil engineering","score_opus":0.027926823459089808,"score_gpt":0.32966218158920324,"score_spread":0.30173535813011343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3210199378","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9579089,0.000041963936,0.00031059983,0.00089098845,0.00027206747,0.00012472662,0.0000054272373,0.00008702242,0.04035826],"genre_scores_gemma":[0.9981447,0.000008963642,0.0003251849,0.000081300066,0.0008678847,0.0000045765773,0.0000147039655,0.000009290311,0.00054341916],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9987358,0.00012337418,0.00013858954,0.00042096167,0.00031735614,0.00026394083],"domain_scores_gemma":[0.99954015,0.00006614276,0.00007553104,0.000102638114,0.00006349575,0.00015205539],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031205578,0.00014048071,0.00026605654,0.000026341939,0.00087842223,0.0003018941,0.00017728138,0.00023985918,0.00038914089],"category_scores_gemma":[0.00008268524,0.000143273,0.00014497389,0.0001116491,0.00039320672,0.00018737024,0.00012499552,0.00049485854,8.066206e-7],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037754417,0.00017557961,0.2568019,0.00041490005,0.00021310238,0.00003273411,0.6567885,0.000011335252,0.0013360524,0.005140545,0.0006639414,0.07838362],"study_design_scores_gemma":[0.0009629353,0.00003261387,0.47203988,0.0003214732,0.00029839962,3.028607e-7,0.48734644,0.0008670818,0.0034248533,0.02550797,0.0070745484,0.0021234963],"about_ca_topic_score_codex":0.0041473955,"about_ca_topic_score_gemma":0.0013481273,"teacher_disagreement_score":0.21523798,"about_ca_system_score_codex":0.00009779111,"about_ca_system_score_gemma":0.00052318466,"threshold_uncertainty_score":0.6756202},"labels":[],"label_agreement":null},{"id":"W3210346690","doi":"10.32920/ryerson.14662770.v1","title":"Barriers to Access: Food Banks in Outer-ring GTA Suburbs","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Poverty; Business; Food insecurity; Recession; Qualitative research; Great recession; Finance; Economic growth; Marketing; Food security; Geography; Agriculture; Economics; Sociology","score_opus":0.049917311253086065,"score_gpt":0.34213957913485754,"score_spread":0.29222226788177147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3210346690","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9218657,0.00021284392,0.0007294212,0.0018929925,0.0012530739,0.0006091666,0.00002336988,0.00015314473,0.0732603],"genre_scores_gemma":[0.9965524,0.000036694626,0.0005326918,0.00074437493,0.00031104445,0.00008095544,0.00002974156,0.000021135602,0.0016909731],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971883,0.0001845734,0.00051305606,0.00095635006,0.0005587114,0.00059897406],"domain_scores_gemma":[0.9984812,0.00007497034,0.00010007974,0.00063218776,0.00012880831,0.0005827339],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010386709,0.00027292065,0.0004763782,0.00019710406,0.00024741067,0.00090571964,0.0015641063,0.00046462778,0.004359698],"category_scores_gemma":[0.00032992655,0.00027966668,0.00021141818,0.00056806806,0.00012690994,0.000510142,0.0007818107,0.00070603774,0.000014458],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011508379,0.000041779313,0.9759323,0.0000982405,0.000032849937,0.00003404571,0.020275578,0.00010978462,0.000011393966,0.00044989193,0.00034474884,0.002657883],"study_design_scores_gemma":[0.00052208133,0.0000447154,0.9603917,0.0005668592,0.00006519618,1.6468114e-7,0.017150031,0.000060576167,0.0010851972,0.0049392288,0.013672964,0.0015012773],"about_ca_topic_score_codex":0.0324319,"about_ca_topic_score_gemma":0.3596532,"teacher_disagreement_score":0.32722133,"about_ca_system_score_codex":0.00028504248,"about_ca_system_score_gemma":0.0012787922,"threshold_uncertainty_score":0.99996555},"labels":[],"label_agreement":null},{"id":"W3210431962","doi":"10.1016/j.tra.2021.10.013","title":"Using twitter to investigate responses to street reallocation during COVID-19: Findings from the U.S. and Canada","year":2021,"lang":"en","type":"article","venue":"Transportation Research Part A Policy and Practice","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Government (linguistics); Social media; Coronavirus disease 2019 (COVID-19); Space (punctuation); Pandemic; Advertising; Social distance; Business; Marketing; Public relations; Geography; Political science; Computer science; World Wide Web; Medicine","score_opus":0.242984882729647,"score_gpt":0.48562090850493805,"score_spread":0.24263602577529106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3210431962","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85385233,0.00008374653,0.000080639555,0.14518636,0.000033431606,0.00030812842,0.00013745915,0.000015423582,0.00030248857],"genre_scores_gemma":[0.9889311,0.00016496383,0.0005835942,0.009390709,0.00021520525,0.000029597673,0.000041492556,0.000008275584,0.0006350555],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973536,0.0010205383,0.00023189311,0.000357734,0.00066870096,0.0003675078],"domain_scores_gemma":[0.9955566,0.0032271459,0.000046912857,0.00018773357,0.00030215614,0.0006794467],"candidate_categories":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.0022900424,0.000089842666,0.00011002629,0.0000848543,0.0015691235,0.00020825233,0.0001392032,0.00005822555,0.000089275905],"category_scores_gemma":[0.008431574,0.00008093,0.000015208133,0.0007801848,0.00023430327,0.0004830935,0.000012736903,0.0002356235,0.0000020584566],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009513294,0.000047174355,0.88286436,0.000079956175,0.000050149785,0.00014267275,0.10134748,0.00012988097,0.0035447867,0.003964386,0.006661703,0.00021609904],"study_design_scores_gemma":[0.0002365245,0.000015905944,0.75827193,0.000037155478,0.000026321177,6.556324e-7,0.01698962,0.000004667282,0.0006346713,0.00072197936,0.22293755,0.00012303628],"about_ca_topic_score_codex":0.9760568,"about_ca_topic_score_gemma":0.986337,"teacher_disagreement_score":0.21627584,"about_ca_system_score_codex":0.0001951398,"about_ca_system_score_gemma":0.0044782027,"threshold_uncertainty_score":0.99992085},"labels":[],"label_agreement":null},{"id":"W3210669373","doi":"10.3390/ijerph182111553","title":"Association between Active Transportation and Public Transport with an Objectively Measured Meeting of Moderate-to-Vigorous Physical Activity and Daily Steps Guidelines in Adults by Sex from Eight Latin American Countries","year":2021,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Physical activity; Public transport; Demography; Public health; Medicine; Active living; Logistic regression; Odds; Odds ratio; Latin Americans; Environmental health; Gerontology; Physical therapy; Transport engineering; Political science; Engineering; Internal medicine","score_opus":0.05471896686922166,"score_gpt":0.3735974811199705,"score_spread":0.3188785142507488,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3210669373","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9916056,0.00015520015,0.00021904646,0.007014455,0.00001841817,0.00016631128,0.00077981775,0.000003366639,0.000037782],"genre_scores_gemma":[0.9986368,0.0007560394,0.00028824955,0.00006432777,0.000121351986,0.0000045887896,0.00009424715,0.0000078567555,0.000026575713],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971492,0.00046081768,0.00037463894,0.00026340253,0.001453664,0.00029822878],"domain_scores_gemma":[0.998437,0.00035830503,0.00036012335,0.00005187304,0.00040394274,0.00038874452],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017250233,0.0000993099,0.00030815147,0.00014857139,0.00018783627,0.00010562843,0.00013867325,0.00005222565,0.000015960997],"category_scores_gemma":[0.00018800734,0.000088773326,0.000024999606,0.00020003083,0.0003298562,0.0010178732,0.0000112977405,0.00030918472,1.0140638e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041903273,0.00037006944,0.9395022,0.000009981604,0.000101508405,0.000008286548,0.010627316,0.0000022764066,0.0003851733,0.000016123862,0.0000068141107,0.04855126],"study_design_scores_gemma":[0.00084030663,0.00037966875,0.98789805,0.00006033954,0.0000068505865,3.600674e-7,0.00972975,0.000049842194,0.00049494236,0.00024258748,0.00022373913,0.00007355845],"about_ca_topic_score_codex":0.017150696,"about_ca_topic_score_gemma":0.033121802,"teacher_disagreement_score":0.048477706,"about_ca_system_score_codex":0.00041914015,"about_ca_system_score_gemma":0.0006296641,"threshold_uncertainty_score":0.9893942},"labels":[],"label_agreement":null},{"id":"W3210793203","doi":"10.32920/ryerson.14665350.v1","title":"The hegemony of automobility: implementing cycling infrastructure in a politicized space","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Cycling; Champion; Politics; Hegemony; Dominance (genetics); Public infrastructure; Political science; Public administration; Geography; Law","score_opus":0.018306487661091782,"score_gpt":0.33944167067438835,"score_spread":0.3211351830132966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3210793203","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97284955,0.00046622273,0.00020496476,0.0013919094,0.00042032183,0.0005288923,0.000014895572,0.00006218896,0.024061045],"genre_scores_gemma":[0.99793416,0.00009139401,0.0011785292,0.000047614954,0.00014980875,0.000022833387,0.000019573448,0.000010534928,0.00054555404],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973663,0.00034079034,0.00072800217,0.0004713519,0.0004791382,0.00061442406],"domain_scores_gemma":[0.9984946,0.00038518725,0.0003139665,0.0005410226,0.00018032175,0.000084864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002564604,0.0001851612,0.00043398322,0.000064397194,0.00038563146,0.00022526145,0.0006475045,0.00027255516,0.0005149859],"category_scores_gemma":[0.00043515008,0.00013911532,0.00023172976,0.0003244583,0.00038836943,0.00011796738,0.00044702538,0.0006587799,5.2414543e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012450482,0.000048111688,0.9731869,0.00017643179,0.000042923057,0.000005562573,0.014809833,0.000074011245,0.00010511065,0.008035405,0.000046944908,0.0034562843],"study_design_scores_gemma":[0.00044821564,0.000007632231,0.88490903,0.00026594583,0.00006288131,1.1465969e-7,0.054667916,0.0003443577,0.0010560418,0.0534183,0.0044284277,0.00039114532],"about_ca_topic_score_codex":0.05339054,"about_ca_topic_score_gemma":0.15522434,"teacher_disagreement_score":0.101833805,"about_ca_system_score_codex":0.00018286215,"about_ca_system_score_gemma":0.001141145,"threshold_uncertainty_score":0.952913},"labels":[],"label_agreement":null},{"id":"W3211224479","doi":"10.32920/ryerson.14645019.v1","title":"The vertical suburbs of Sheppard: can mixed-use communities thrive along the Sheppard subway corridor?","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Scale (ratio); Smart growth; Silver bullet; Environmental planning; Architectural engineering; Business; Transport engineering; Engineering; Urban planning; Geography; Sociology; Civil engineering; Cartography","score_opus":0.05348577689285907,"score_gpt":0.3030407252910039,"score_spread":0.24955494839814482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3211224479","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97726095,0.001029929,0.000100004705,0.003965927,0.0017267405,0.00065688905,0.00008924537,0.0001046079,0.015065719],"genre_scores_gemma":[0.99607414,0.0010541856,0.000075175274,0.00025216953,0.00023997649,0.00006345355,0.00010968373,0.000024911858,0.0021063092],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9959212,0.0012910337,0.00075748307,0.00039963666,0.0009940991,0.00063653436],"domain_scores_gemma":[0.99496293,0.0023540864,0.00019275183,0.0017734295,0.00054532173,0.00017148315],"candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0021249412,0.00034745006,0.0006010339,0.00004080142,0.0017464333,0.0008991109,0.0026188225,0.0004036433,0.0006656421],"category_scores_gemma":[0.00038412315,0.00020055217,0.00048361954,0.0002767675,0.0035192175,0.00022036597,0.0007889615,0.001308552,0.000005905913],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006847747,0.00016757658,0.93292254,0.00008659566,0.00026076066,0.000014160429,0.049703803,0.00006270507,0.000011541767,0.011577164,0.0028671704,0.0022574752],"study_design_scores_gemma":[0.00032667042,0.000041033603,0.80479485,0.00028100944,0.00035289998,7.477494e-7,0.17057614,0.00021685586,0.0012480703,0.0042303866,0.017238688,0.0006926714],"about_ca_topic_score_codex":0.2653726,"about_ca_topic_score_gemma":0.7830148,"teacher_disagreement_score":0.51764214,"about_ca_system_score_codex":0.00015424039,"about_ca_system_score_gemma":0.001254294,"threshold_uncertainty_score":0.99955314},"labels":[],"label_agreement":null},{"id":"W3211265099","doi":"10.32920/ryerson.14661090.v1","title":"The relationship between the built environment, parental perceptions of traffic safety and walking environment, and children's school travel behaviour in Toronto","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"University of Toronto","keywords":"Neighbourhood (mathematics); Built environment; Cognitive dissonance; Perception; Psychology; Odds; Human factors and ergonomics; Structural equation modeling; Occupational safety and health; Social psychology; Poison control; Applied psychology; Developmental psychology; Environmental health; Engineering; Medicine; Computer science; Logistic regression","score_opus":0.023487880244905866,"score_gpt":0.2897140978752062,"score_spread":0.2662262176303003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3211265099","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952057,0.002048603,0.0001385512,0.00053506094,0.00005300556,0.00071231334,0.0001044146,0.000014714234,0.0011876371],"genre_scores_gemma":[0.99624455,0.0029695649,0.000118599615,0.00001005037,0.000104100756,0.000032788645,0.00012780227,0.000012600286,0.00037997027],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979439,0.0003905806,0.00052990345,0.0004963642,0.00036701365,0.00027223187],"domain_scores_gemma":[0.99881303,0.00045593083,0.00019047946,0.00040700156,0.0000074687596,0.00012606727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011204815,0.00020957776,0.0002871498,0.000023652114,0.00096891396,0.00015820072,0.00037007607,0.0002685728,0.0006898408],"category_scores_gemma":[0.0000630909,0.00014575843,0.000115957075,0.000047861016,0.0008863362,0.00022104986,0.0002254834,0.000586848,0.0000014312486],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000066978228,0.000048932765,0.99138427,0.00000803803,0.00002136595,3.3445264e-7,0.005659571,0.000024455217,0.0000035148946,0.00014929936,0.000004490231,0.0026890398],"study_design_scores_gemma":[0.00019683782,0.000009169086,0.9792603,0.000036021833,0.00010192239,2.3968948e-7,0.019963697,0.000008139722,0.0000018007604,0.0002299451,0.000028180139,0.00016369321],"about_ca_topic_score_codex":0.018257914,"about_ca_topic_score_gemma":0.076156124,"teacher_disagreement_score":0.05789821,"about_ca_system_score_codex":0.0003200309,"about_ca_system_score_gemma":0.000096037285,"threshold_uncertainty_score":0.9882796},"labels":[],"label_agreement":null},{"id":"W3211551093","doi":"10.32920/ryerson.14646996.v1","title":"Making density work: tall buildings in downtown Toronto","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Winnipeg; Toronto Metropolitan University","funders":"","keywords":"Downtown; Realm; Pace; Context (archaeology); Work (physics); Diversity (politics); Urban planning; Environmental planning; Geography; Sociology; Engineering; Civil engineering","score_opus":0.05432834557146378,"score_gpt":0.34829049896669767,"score_spread":0.2939621533952339,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3211551093","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83994764,0.0008840382,0.00061881565,0.0004802616,0.0007966733,0.0002966562,0.0000023079992,0.000133377,0.15684023],"genre_scores_gemma":[0.9936374,0.00010678276,0.002851565,0.00022163773,0.00029664047,0.0000178627,0.00002069703,0.0000121605035,0.0028352994],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99778646,0.00013871983,0.00039399395,0.0007303178,0.00046655952,0.00048397083],"domain_scores_gemma":[0.9991505,0.000059336373,0.00013490026,0.00042594725,0.000121031415,0.000108241205],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010785747,0.00021785186,0.0004050635,0.000036069865,0.00020304689,0.00037716242,0.0006270127,0.0005008649,0.006782557],"category_scores_gemma":[0.000092605456,0.00021920705,0.00020396811,0.00020692883,0.00016545273,0.00035815316,0.00041704692,0.00052039564,0.0000070060023],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015968615,0.000108157794,0.97509855,0.00006291325,0.000020161084,0.000054810986,0.015108034,0.000019602163,0.000016776154,0.0012411634,0.00029507594,0.007958784],"study_design_scores_gemma":[0.00014765719,0.0000034774241,0.98539084,0.00036729086,0.000030220155,1.01546824e-7,0.0058815903,0.000010266851,0.00007249716,0.0023049284,0.005273161,0.00051795813],"about_ca_topic_score_codex":0.2219757,"about_ca_topic_score_gemma":0.7673405,"teacher_disagreement_score":0.54536474,"about_ca_system_score_codex":0.0007337037,"about_ca_system_score_gemma":0.0004696037,"threshold_uncertainty_score":0.99412537},"labels":[],"label_agreement":null},{"id":"W3211977908","doi":"10.1080/01441647.2021.2001996","title":"What is a good transport review paper?","year":2021,"lang":"en","type":"article","venue":"Transport Reviews","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Transport engineering; Public transport; Business; Engineering","score_opus":0.051166031749125034,"score_gpt":0.34746446416846927,"score_spread":0.2962984324193442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3211977908","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015850892,0.9122886,0.00019559321,0.0153695475,0.0010841107,0.0018026219,0.000048342677,0.0002227314,0.053137563],"genre_scores_gemma":[0.05053776,0.91845065,0.0004837309,0.0152403945,0.00030567677,0.00014292725,0.00020624035,0.0000355975,0.014597026],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99608946,0.0002940562,0.0013418441,0.00085296866,0.0007424333,0.0006792398],"domain_scores_gemma":[0.9981931,0.000042075008,0.000244268,0.00090714183,0.00021360374,0.00039982866],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0022156623,0.00037770413,0.0012258681,0.000036642963,0.00040908784,0.000060538085,0.00059008354,0.0001983552,0.02123949],"category_scores_gemma":[0.000030289302,0.00033131742,0.0009952032,0.0010974864,0.00026065993,0.0017265575,0.000006111952,0.0003653755,0.00041504338],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037808968,0.0011970999,0.52936715,0.01710639,0.00020211336,0.00086214015,0.023117142,2.8251736e-7,0.0003053083,0.005827572,0.02007271,0.40190428],"study_design_scores_gemma":[0.00020646762,0.000012399951,0.03539567,0.004529844,0.00034959518,0.000002169265,0.00030776343,1.0752598e-7,0.00010191644,0.0003619917,0.95832956,0.00040252027],"about_ca_topic_score_codex":0.00053162477,"about_ca_topic_score_gemma":0.009652612,"teacher_disagreement_score":0.93825686,"about_ca_system_score_codex":0.000068803995,"about_ca_system_score_gemma":0.0005661902,"threshold_uncertainty_score":0.9999139},"labels":[],"label_agreement":null},{"id":"W3212154571","doi":"10.32920/ryerson.14657250.v1","title":"Propelling employee led Innovation in public transit agencies","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Agency (philosophy); Documentation; Transit (satellite); Business; Public relations; Public transport; Process (computing); Knowledge management; Process management; Engineering; Transport engineering; Political science; Sociology; Computer science","score_opus":0.106132778497868,"score_gpt":0.32938978245008343,"score_spread":0.22325700395221543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3212154571","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9399054,0.00018609132,0.0053205052,0.0016568712,0.0004576434,0.000494463,0.0000036440963,0.00021203143,0.05176337],"genre_scores_gemma":[0.9964789,0.0000745367,0.0010005707,0.0001270553,0.00017564057,0.000039460945,0.00011448917,0.000012241921,0.001977101],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979095,0.00016574834,0.0006141951,0.0005174105,0.000449136,0.00034404866],"domain_scores_gemma":[0.99912757,0.00003476408,0.00013062899,0.00028197872,0.00037301847,0.000052050586],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001515378,0.00016891229,0.0003052027,0.00025476693,0.00018730591,0.00047514055,0.00043709303,0.0003581266,0.0010020289],"category_scores_gemma":[0.00015993061,0.0001604536,0.00009574955,0.0013476182,0.00016889087,0.00044115368,0.00006552654,0.0005503587,0.0000075704447],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007508048,0.00012054087,0.95118606,0.00019121097,0.000027918877,0.000022911536,0.03460139,0.000076969,0.00021175903,0.0075592576,0.00011751692,0.005876948],"study_design_scores_gemma":[0.00079583743,0.000027681164,0.91499025,0.00054927886,0.000072555275,2.049828e-7,0.04222894,0.00043606068,0.0022702732,0.025298193,0.01160711,0.0017235993],"about_ca_topic_score_codex":0.008999394,"about_ca_topic_score_gemma":0.10886028,"teacher_disagreement_score":0.09986088,"about_ca_system_score_codex":0.00021365935,"about_ca_system_score_gemma":0.0013135102,"threshold_uncertainty_score":0.9999112},"labels":[],"label_agreement":null},{"id":"W3212235821","doi":"10.1155/2021/1103331","title":"Research on Accessibility and Equity of Urban Transport Based on Multisource Big Data","year":2021,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Public transport; Equity (law); Business; Transport engineering; Brand equity; Transportation planning; Environmental economics; Computer science; Marketing; Economics; Engineering","score_opus":0.1592055774031919,"score_gpt":0.444045122058098,"score_spread":0.2848395446549061,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3212235821","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99573857,0.00026481503,0.0014876281,0.000650679,0.00036900552,0.0002124784,0.00015545105,0.000014369983,0.0011070095],"genre_scores_gemma":[0.9979157,0.00014896465,0.0014128294,0.00007023708,0.00025868855,0.0000022602937,0.000114458475,0.0000134235015,0.00006343359],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99664503,0.00030098524,0.0008552394,0.00043162034,0.0014578897,0.00030923373],"domain_scores_gemma":[0.9974231,0.00050292985,0.00044700442,0.00053005066,0.00088574033,0.000211149],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033400645,0.00014081497,0.0003848156,0.00020495133,0.00028330646,0.00003165936,0.00056776585,0.00013139975,0.00007742574],"category_scores_gemma":[0.00024142711,0.00012764377,0.00012125654,0.0007611785,0.00040591214,0.0007393932,0.0000069734283,0.00054467545,6.358511e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002644463,0.0018699483,0.88478917,0.00040685528,0.000064831016,0.00021402672,0.0105045615,0.007016956,0.0050100884,0.00095883006,0.00010587818,0.08641441],"study_design_scores_gemma":[0.0013825713,0.00026601215,0.98805344,0.0002596225,0.000057633475,2.6046033e-7,0.0031346865,0.000051060244,0.0035411161,0.0009563396,0.0021677662,0.00012946526],"about_ca_topic_score_codex":0.00019874236,"about_ca_topic_score_gemma":0.00462999,"teacher_disagreement_score":0.10326432,"about_ca_system_score_codex":0.000086169486,"about_ca_system_score_gemma":0.0007315788,"threshold_uncertainty_score":0.52051616},"labels":[],"label_agreement":null},{"id":"W3212253405","doi":"10.32920/ryerson.14667930.v1","title":"Spatial accessibility to mental health care in the City of Toronto","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University; McGill University","funders":"","keywords":"Mental health; Public health; Service delivery framework; Health care; Service (business); Medicine; Geography; Business; Environmental health; Nursing; Political science; Psychiatry; Marketing","score_opus":0.03477332775353891,"score_gpt":0.375899581466587,"score_spread":0.34112625371304806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3212253405","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9610455,0.0017293819,0.00019096663,0.003295981,0.0006900688,0.0012844498,0.00010940979,0.000030792948,0.031623423],"genre_scores_gemma":[0.9984077,0.00008640161,0.00043518568,0.00062536204,0.00017861873,0.000037980622,0.00012483912,0.0000055472137,0.000098367535],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972589,0.00056675455,0.0005667835,0.0005865182,0.0006936617,0.00032737656],"domain_scores_gemma":[0.9988386,0.000055649634,0.00018175718,0.00065381883,0.00014200508,0.00012815694],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0017156694,0.00016908946,0.00043385444,0.00001850174,0.00023352948,0.00012527971,0.0010693329,0.00019334217,0.0020277575],"category_scores_gemma":[0.00007076059,0.00012529419,0.00018547736,0.00013472,0.00015902704,0.00018729562,0.00031488948,0.00030768005,8.2087394e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003400811,0.00019468075,0.76314414,0.00016171725,0.000008672574,0.0000012046669,0.22532246,0.0000012015679,0.0000031757181,0.00011190465,0.00022513862,0.010791695],"study_design_scores_gemma":[0.00011948458,0.000029824972,0.93475807,0.000067948014,0.0000059583394,1.565228e-8,0.062995054,0.0000016344886,0.00006174809,0.0001655004,0.001653265,0.00014147941],"about_ca_topic_score_codex":0.79950994,"about_ca_topic_score_gemma":0.9815968,"teacher_disagreement_score":0.18208686,"about_ca_system_score_codex":0.0008746197,"about_ca_system_score_gemma":0.0017071607,"threshold_uncertainty_score":0.9988845},"labels":[],"label_agreement":null},{"id":"W3212376876","doi":"10.1155/2021/9966794","title":"Exploring the Built Environment Factors in the Metro That Influence the Ridership and the Market Share of the Elderly and Students","year":2021,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Higher Education Discipline Innovation Project; National Natural Science Foundation of China","keywords":"Metro station; Negative binomial distribution; Transport engineering; Business; China; Public transport; Smart card; Market share; Marketing; Geography; Engineering; Computer science; Mathematics; Statistics; Computer security","score_opus":0.05116940819547149,"score_gpt":0.2976020716210539,"score_spread":0.2464326634255824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3212376876","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99512815,0.0010402886,0.0000293975,0.0033532933,0.000116290874,0.00028078875,0.000008880497,0.0000018676423,0.00004104996],"genre_scores_gemma":[0.9983435,0.0014682517,0.000024143183,0.00009404484,0.000029778208,0.0000112722555,0.0000011465903,0.000004349311,0.000023513854],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998276,0.00037555568,0.000362637,0.00011359115,0.0007370018,0.0001351932],"domain_scores_gemma":[0.99866754,0.0007169643,0.00034806848,0.00018144914,0.000058037178,0.000027967559],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016238652,0.00009368986,0.00015707331,0.000020395464,0.0004081771,0.000075638025,0.00050130003,0.000025897009,0.000024564722],"category_scores_gemma":[0.00010378699,0.00003488908,0.00010067295,0.00022263329,0.0004531002,0.0006424825,0.000006955612,0.00030447837,5.272608e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000097030934,0.000034370645,0.928387,0.000015651389,0.00002811411,0.0000031940617,0.068868436,0.00042430963,0.00011713222,0.0001892196,0.0000029396815,0.0018326123],"study_design_scores_gemma":[0.00051503954,0.000024601703,0.9201396,0.000057114627,0.000070495786,3.8223482e-7,0.0769199,9.5163045e-7,0.00046434256,0.001390281,0.0003768778,0.000040377014],"about_ca_topic_score_codex":0.00029140423,"about_ca_topic_score_gemma":0.007147825,"teacher_disagreement_score":0.008247354,"about_ca_system_score_codex":0.000025717027,"about_ca_system_score_gemma":0.000048400398,"threshold_uncertainty_score":0.3988654},"labels":[],"label_agreement":null},{"id":"W3212654577","doi":"10.32920/ryerson.14654001.v1","title":"Evaluating the efficiency of large scale transit infrastructure planning in Toronto Ontario: issues of governance","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"","keywords":"Plan (archaeology); Corporate governance; Public transport; Scale (ratio); Transit (satellite); Business; Transport engineering; Environmental planning; Engineering; Finance; Geography","score_opus":0.03141828735518466,"score_gpt":0.38106031665257917,"score_spread":0.3496420292973945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3212654577","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9722722,0.0034291642,0.00034719965,0.00015076612,0.00031934903,0.00037247318,0.00002970421,0.000015739863,0.023063391],"genre_scores_gemma":[0.99750394,0.000057487505,0.0014976391,0.00002614938,0.000062500934,0.000009599027,0.000014555053,0.000006929905,0.0008212011],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977809,0.0001947727,0.0005868939,0.00038924324,0.0007651621,0.00028302317],"domain_scores_gemma":[0.998974,0.00009425986,0.00035021603,0.000384111,0.00015972689,0.000037690406],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0016639373,0.00016469596,0.00046056003,0.0000134647,0.00013526485,0.000042777763,0.00069266954,0.00025224246,0.0030553914],"category_scores_gemma":[0.00008349613,0.0001227109,0.00016970305,0.00015600679,0.00021367166,0.00018844615,0.00011764524,0.00044000437,1.6867443e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028037428,0.00011012256,0.75685334,0.00017149987,0.000018634628,0.0000018448686,0.23920526,0.002065582,0.00028105942,0.00037921176,0.000026963568,0.0008584361],"study_design_scores_gemma":[0.0002243913,0.000028803268,0.9639205,0.00044673836,0.00003521832,4.302275e-8,0.033242017,0.00038307993,0.0007852597,0.00059114554,0.0001823839,0.00016042124],"about_ca_topic_score_codex":0.72628903,"about_ca_topic_score_gemma":0.96400076,"teacher_disagreement_score":0.2377117,"about_ca_system_score_codex":0.0004211028,"about_ca_system_score_gemma":0.0010488929,"threshold_uncertainty_score":0.99785596},"labels":[],"label_agreement":null},{"id":"W3212753668","doi":"10.3390/su132212717","title":"Integrated Urban Mobility for Our Health and the Climate: Recommended Approaches from an Interdisciplinary Consortium","year":2021,"lang":"en","type":"article","venue":"Sustainability","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Canadian Institutes of Health Research; George Cedric Metcalf Charitable Foundation","keywords":"Work (physics); Public transport; Business; Destinations; Context (archaeology); Government (linguistics); Electrification; Transportation planning; Environmental planning; Urban planning; Transport engineering; Tourism; Political science; Engineering; Geography; Civil engineering","score_opus":0.04671056509978954,"score_gpt":0.37335167490800425,"score_spread":0.3266411098082147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3212753668","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93611544,0.000776048,0.00082175585,0.058868367,0.00028842074,0.0020340171,0.00024189614,0.00014827936,0.0007057575],"genre_scores_gemma":[0.99810493,0.000025387113,0.0005371687,0.00044588943,0.00017451376,0.00022176754,0.00029953793,0.000013382807,0.0001774076],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9956307,0.0021075667,0.00057907804,0.0008208398,0.00022929175,0.00063252007],"domain_scores_gemma":[0.9974334,0.0005942115,0.00018138828,0.0007296173,0.0007297384,0.00033162712],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.005679638,0.00020660601,0.0004970582,0.000026745958,0.0018724471,0.00020093996,0.00035467016,0.0001507291,0.00004354457],"category_scores_gemma":[0.0018446369,0.00014894786,0.00018254847,0.00032306032,0.00096614787,0.00042169975,0.00020737911,0.00036977386,5.2849674e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019787864,0.0012162458,0.82893294,0.00048035994,0.00006716161,0.0000049879663,0.09918967,0.0000023205241,0.000002189292,0.036643293,0.0011424555,0.03033957],"study_design_scores_gemma":[0.0018002345,0.00012233309,0.18646859,0.000018706347,0.000046484012,3.224668e-7,0.5307432,0.00041319968,0.00004082064,0.27479804,0.005268412,0.0002796587],"about_ca_topic_score_codex":0.005285333,"about_ca_topic_score_gemma":0.019613024,"teacher_disagreement_score":0.6424644,"about_ca_system_score_codex":0.00071606564,"about_ca_system_score_gemma":0.0022859545,"threshold_uncertainty_score":0.99942696},"labels":[],"label_agreement":null},{"id":"W3212997275","doi":"10.1061/(asce)up.1943-5444.0000785","title":"The Public Bicycle as a Feeder Mode for Metro Commuters in the Megacity Beijing: Travel Behavior, Route Environment, and Socioeconomic Factors","year":2021,"lang":"en","type":"article","venue":"Journal of Urban Planning and Development","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Megacity; Beijing; Public transport; Transport engineering; Socioeconomic status; Mode choice; Mile; Business; Travel behavior; TRIPS architecture; Metropolitan area; Car ownership; Marketing; Geography; Environmental health; Engineering; China; Economics; Medicine","score_opus":0.051696293724936504,"score_gpt":0.3110986631857728,"score_spread":0.2594023694608363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3212997275","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99535966,0.0013047617,0.00075667724,0.0021470722,0.00011190427,0.00015137777,0.000005220924,0.000002896122,0.00016042941],"genre_scores_gemma":[0.9985778,0.000056992172,0.0009929576,0.00017605975,0.000043524462,0.000013020466,0.0000053050926,0.00000506072,0.00012928787],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989463,0.00011790032,0.00035760476,0.00012681079,0.00021884785,0.00023249879],"domain_scores_gemma":[0.9992465,0.00035023465,0.00019586949,0.00007435088,0.00003651422,0.00009657971],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013968997,0.00009884518,0.00017971001,0.000048071648,0.00086222036,0.00028823438,0.00020161533,0.00005744475,0.000011780876],"category_scores_gemma":[0.000055324756,0.00006149822,0.000054052452,0.000039115494,0.00015514121,0.00023565542,0.000022963357,0.0001982864,3.3726027e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017367596,0.00005167233,0.9662347,0.000005069489,0.00003700204,0.0000101842925,0.031556826,0.0000024129613,0.00003643138,0.00010587022,0.0003037911,0.0016386886],"study_design_scores_gemma":[0.0004372477,0.000025860343,0.9393462,0.000016937223,0.0000262556,0.0000050994386,0.033733502,0.000009987743,0.00014304991,0.0005344096,0.025614953,0.00010652701],"about_ca_topic_score_codex":0.00010592259,"about_ca_topic_score_gemma":0.00045847168,"teacher_disagreement_score":0.026888514,"about_ca_system_score_codex":0.00012467212,"about_ca_system_score_gemma":0.00029588738,"threshold_uncertainty_score":0.6631589},"labels":[],"label_agreement":null},{"id":"W3213180341","doi":"","title":"Accessibility to Healthcare via Public Transport across Canada","year":2019,"lang":"en","type":"article","venue":"Transportation Research Board 98th Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Health care; Business; Public transport; Public health; Public relations; Internet privacy; Political science; Computer science; Medicine; Economic growth; Nursing; Transport engineering; Economics; Engineering","score_opus":0.08014549922410624,"score_gpt":0.43603119926351547,"score_spread":0.3558857000394092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3213180341","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9655224,0.00022764239,0.00054616656,0.021478798,0.00084954646,0.0054650516,0.0016397291,0.00044166864,0.003828959],"genre_scores_gemma":[0.99250257,0.00013309556,0.00067162333,0.0007496922,0.0004693488,0.0007375906,0.00095463643,0.00014851667,0.0036329408],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9751103,0.0027704928,0.0023326185,0.002816553,0.011598076,0.0053719906],"domain_scores_gemma":[0.98378503,0.0015416888,0.00033183236,0.0015757009,0.009385928,0.0033798271],"candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.018120829,0.0007290113,0.0011086711,0.00079370703,0.0038859423,0.0004665882,0.00275153,0.0007069689,0.002604719],"category_scores_gemma":[0.0006593453,0.0007770728,0.00042280546,0.007289869,0.0015351622,0.0024257444,0.000032194333,0.0032123693,0.00039675806],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009403273,0.00039797893,0.951646,0.0006387026,0.00007907698,0.00015737228,0.03302128,0.00012883125,0.00037554622,0.0029460152,0.0023230193,0.0073459093],"study_design_scores_gemma":[0.0011563167,0.00033611743,0.83762974,0.00017516244,0.000017416185,8.8478984e-8,0.032596387,0.000019236488,0.0004366941,0.0009469084,0.12594178,0.00074415264],"about_ca_topic_score_codex":0.9462112,"about_ca_topic_score_gemma":0.9960008,"teacher_disagreement_score":0.123618774,"about_ca_system_score_codex":0.0018290576,"about_ca_system_score_gemma":0.007972985,"threshold_uncertainty_score":0.999468},"labels":[],"label_agreement":null},{"id":"W3213281308","doi":"10.3390/ijerph182111647","title":"Older Public Housing Tenants’ Capabilities for Physical Activity Described Using Walk-Along Interviews in Montreal, Canada","year":2021,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Public housing; Psychosocial; Government (linguistics); Thematic analysis; Promotion (chess); Population; Psychological intervention; Built environment; Physical activity; Gerontology; Active living; Business; Psychology; Politics; Public health; Qualitative research; Economic growth; Political science; Sociology; Environmental health; Medicine; Economics; Nursing; Engineering","score_opus":0.15132944955743002,"score_gpt":0.41314338192838745,"score_spread":0.2618139323709574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3213281308","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.980878,0.0005580567,0.00022411096,0.017728295,0.00022975479,0.0001836232,0.0000775475,0.0000022884017,0.00011835264],"genre_scores_gemma":[0.9988633,0.00041003464,0.00013103633,0.0001640042,0.00031563203,0.0000049153014,0.000009968628,0.000007888611,0.00009321924],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99716705,0.0005330975,0.0003644506,0.00020909766,0.0011589297,0.00056738144],"domain_scores_gemma":[0.9986667,0.0004166827,0.00017517045,0.00008781936,0.00021057569,0.00044305375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028004313,0.000088976885,0.00023688695,0.00017309272,0.0003248618,0.00024417296,0.0003168289,0.000043268992,0.00011185408],"category_scores_gemma":[0.00050224044,0.0000779345,0.0000723359,0.0001652517,0.00036854565,0.00086411304,0.00007839852,0.00036774913,2.8589463e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014198918,0.002415603,0.68500704,0.00007351217,0.00010095491,0.0001280918,0.012131842,0.000004958767,0.0005723776,0.0003801842,0.00050309056,0.29854032],"study_design_scores_gemma":[0.0013178202,0.00018793259,0.9496123,0.00014972975,0.0000037839163,0.000015035553,0.033562407,0.00050141464,0.00021793376,0.0020409906,0.0122167785,0.00017386465],"about_ca_topic_score_codex":0.42205897,"about_ca_topic_score_gemma":0.8764371,"teacher_disagreement_score":0.4543782,"about_ca_system_score_codex":0.002096445,"about_ca_system_score_gemma":0.004029844,"threshold_uncertainty_score":0.714877},"labels":[],"label_agreement":null},{"id":"W3213467308","doi":"10.1016/j.envint.2021.106959","title":"Chronic disease and where you live: Built and natural environment relationships with physical activity, obesity, and diabetes","year":2021,"lang":"en","type":"article","venue":"Environment International","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":105,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Vancouver Coastal Health; Canadian Centre for Applied Research in Cancer Control; University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Walkability; Obesity; Environmental health; Body mass index; Medicine; Built environment; Mediation; Demography; Diabetes mellitus; Gerontology; Physical activity; Ecology; Physical therapy; Biology; Internal medicine","score_opus":0.013981073034532443,"score_gpt":0.2533105687953398,"score_spread":0.23932949576080736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3213467308","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99397916,0.0017663091,0.000044712917,0.0037023737,0.000053262174,0.00012573677,0.000034290606,0.000014230618,0.00027990036],"genre_scores_gemma":[0.9973504,0.0008104373,0.00012980938,0.000022336837,0.00022926909,0.000015131003,0.000032822554,0.0000073085816,0.0014024645],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998992,0.00007855545,0.000072923875,0.00034549183,0.00036094623,0.00015005139],"domain_scores_gemma":[0.9996086,0.00008986908,0.000047355337,0.000104372804,0.0000062502077,0.00014360124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011809199,0.000110092275,0.000097856515,0.000019029905,0.000302882,0.00009383811,0.00007998651,0.00003562409,0.00030688767],"category_scores_gemma":[0.000015891505,0.00009985753,0.000024329525,0.00002208589,0.00049401383,0.00036618614,0.00011098599,0.00017198866,0.000009582793],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011629176,0.00016734166,0.99541163,0.0000128907295,0.00004075673,0.000009245701,0.0006491372,0.000014811161,0.0003522713,0.0007465817,0.0000152262,0.0025684726],"study_design_scores_gemma":[0.00027530183,0.000020326777,0.993291,0.000021828546,0.00004288728,4.0891982e-7,0.00017947066,0.00039454133,0.000115727846,0.001136724,0.004392088,0.00012965286],"about_ca_topic_score_codex":0.00005494886,"about_ca_topic_score_gemma":0.0002724242,"teacher_disagreement_score":0.0043768617,"about_ca_system_score_codex":0.00012705827,"about_ca_system_score_gemma":0.000035792582,"threshold_uncertainty_score":0.40720716},"labels":[],"label_agreement":null},{"id":"W3213609702","doi":"10.1787/8687d1db-en","title":"Measuring Accessibility","year":2020,"lang":"en","type":"paratext","venue":"Discussion papers","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Axiom; Construct (python library); Computer science; State (computer science); Current (fluid); Transport engineering; Risk analysis (engineering); Data science; Business; Mathematics; Engineering; Algorithm; Programming language","score_opus":0.05261128657945582,"score_gpt":0.32007142262705585,"score_spread":0.26746013604760005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3213609702","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003671781,0.00065724197,0.000026323354,0.0063169203,0.0035460212,0.00054895657,0.0001223935,0.00017021115,0.9849402],"genre_scores_gemma":[0.66236573,0.00030812886,0.000047548892,0.00050785457,0.0014050435,0.00003951015,0.00029785902,0.00004601335,0.33498228],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9965851,0.0003512867,0.0005148963,0.0009628642,0.0010088049,0.0005770589],"domain_scores_gemma":[0.99858814,0.000056502147,0.00026938203,0.0004957732,0.000084995474,0.0005052283],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005814461,0.00037228258,0.00056405977,0.00007179262,0.0009154071,0.00024145775,0.0010305037,0.00055502116,0.038242184],"category_scores_gemma":[0.0002050011,0.00021956136,0.0004097764,0.0004837596,0.00043166082,0.00034315969,0.000108541484,0.0007120551,0.0045500253],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024253823,0.00042318803,0.05138695,0.0009771651,0.0002068542,0.000046761197,0.02899761,0.000013887568,0.0011412638,0.0004057246,0.8106923,0.10546577],"study_design_scores_gemma":[0.00018705134,0.0000120977475,0.013063356,0.00015047073,0.000048276648,3.3831665e-8,0.0020600117,0.0000013855066,0.00010429562,0.00015956284,0.9837572,0.00045628246],"about_ca_topic_score_codex":0.0007209939,"about_ca_topic_score_gemma":0.0012422827,"teacher_disagreement_score":0.65869397,"about_ca_system_score_codex":0.00023236434,"about_ca_system_score_gemma":0.0007988097,"threshold_uncertainty_score":0.99622506},"labels":[],"label_agreement":null},{"id":"W3213649190","doi":"10.2139/ssrn.3958347","title":"Florida Highway Infrastructure: Relationship Between Highway Funding Allocations and Demographic Composition","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"","keywords":"Composition (language); Transport engineering; Transport infrastructure; Business; Geography; Regional science; Environmental planning; Engineering","score_opus":0.021692737912740255,"score_gpt":0.28589880315537836,"score_spread":0.2642060652426381,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3213649190","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98281616,0.0021143346,0.011166238,0.0024083287,0.00028246356,0.000092669645,0.000006476607,0.00006725612,0.001046087],"genre_scores_gemma":[0.99786633,0.000698746,0.0002378986,0.000043102304,0.0007227283,0.0000031022282,0.000044352397,0.000011499318,0.00037224454],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977285,0.00025317323,0.00030195955,0.0002322351,0.00033082758,0.0011532533],"domain_scores_gemma":[0.99919546,0.00021932446,0.00013867626,0.00012583604,0.00015657929,0.00016411641],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0015695133,0.00011762728,0.00015947643,0.00012404729,0.0018481772,0.00019951834,0.00018387982,0.00013366574,0.00005200118],"category_scores_gemma":[0.000083369036,0.000118550764,0.00009121444,0.00064547884,0.00019951774,0.0005591551,0.000018363076,0.0013225627,0.0000047641024],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000042766355,0.000010630897,0.8215772,0.000004037167,0.000041183674,0.0000016867322,0.0005914185,0.0000045753955,0.00008387177,0.17624271,0.000024832976,0.0014136088],"study_design_scores_gemma":[0.00021194,0.000018277693,0.7136841,0.000013633434,0.00006470125,0.000010498048,0.0013662375,0.000003674086,0.000036058467,0.2835799,0.00089801446,0.00011299792],"about_ca_topic_score_codex":0.00023064406,"about_ca_topic_score_gemma":0.007066226,"teacher_disagreement_score":0.10789309,"about_ca_system_score_codex":0.00050162175,"about_ca_system_score_gemma":0.0019939917,"threshold_uncertainty_score":0.9994513},"labels":[],"label_agreement":null},{"id":"W3213740645","doi":"10.32920/ryerson.14661639.v1","title":"The place for immigrants in Toronto's transit and transportation city","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Trent University; Toronto Metropolitan University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Public transport; Immigration; Demographics; Limiting; Transit (satellite); Work (physics); Public policy; Economic Justice; Sociology; Regional science; Political science; Geography; Public relations; Business; Economic growth; Transport engineering; Engineering; Economics","score_opus":0.025333899949715282,"score_gpt":0.32256784023101476,"score_spread":0.29723394028129946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3213740645","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9876982,0.0024015994,0.0017234151,0.0016415187,0.00037791018,0.00095118466,0.00006466817,0.000040758918,0.005100763],"genre_scores_gemma":[0.99732494,0.0009536179,0.00033196903,0.000058943635,0.00008553135,0.0001006128,0.00008276827,0.000007572661,0.0010540186],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987428,0.00007932263,0.00030731078,0.00039311743,0.00022082803,0.0002566011],"domain_scores_gemma":[0.9993955,0.00020721563,0.00007087154,0.00017709423,0.000081211416,0.000068140136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093919673,0.00013525887,0.00022650923,0.00001140548,0.00036179755,0.00017805486,0.00023611505,0.00025025802,0.00020419098],"category_scores_gemma":[0.000030113284,0.0001044051,0.00012359435,0.000059642585,0.00016732927,0.00021268544,0.0000066803764,0.00018992346,1.1902993e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003739312,0.00025051605,0.8132958,0.00047443275,0.00009884437,0.000010927145,0.13560864,0.000050135848,0.000053420135,0.006630817,0.0003415815,0.042810995],"study_design_scores_gemma":[0.00039957266,0.000009839467,0.970172,0.00006224205,0.000041589785,1.8518485e-8,0.023422033,0.000066478235,0.00007335763,0.0022508465,0.003285912,0.00021611314],"about_ca_topic_score_codex":0.28155804,"about_ca_topic_score_gemma":0.9835459,"teacher_disagreement_score":0.70198786,"about_ca_system_score_codex":0.00014076493,"about_ca_system_score_gemma":0.00028107534,"threshold_uncertainty_score":0.72322613},"labels":[],"label_agreement":null},{"id":"W3214012957","doi":"10.32920/ryerson.14663118.v1","title":"Get Up and Go: Evaluating Station Area Factors affecting A.M. Commuter Rail Boardings in the Greater Toronto and Hamilton Area","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University; University of Calgary","funders":"","keywords":"Transport engineering; Service (business); Environmental science; Business; Engineering","score_opus":0.08683185959238593,"score_gpt":0.3566764678105889,"score_spread":0.269844608218203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3214012957","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99095243,0.00046466995,0.00022895004,0.00024076756,0.00029555362,0.00062678027,0.000014119574,0.000050411527,0.0071263034],"genre_scores_gemma":[0.9987911,0.00012329372,0.00032130827,0.00013537248,0.00007314398,0.000025284424,0.0000938001,0.0000118576,0.0004248206],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978012,0.0005399608,0.00034014048,0.00054573856,0.00046680338,0.00030616552],"domain_scores_gemma":[0.9989438,0.00043356657,0.00017072185,0.0002795274,0.00010156707,0.00007080314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025589317,0.0002430262,0.00034342348,0.000034839664,0.00046326083,0.0007332799,0.00025101594,0.00024422744,0.0002998915],"category_scores_gemma":[0.00014470954,0.0001690289,0.00008093012,0.00008192051,0.00018627246,0.0005213044,0.00014518877,0.00040658217,3.0348582e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009023486,0.000016372696,0.77026033,0.00007427417,0.000018512921,0.0000025348913,0.2272961,0.0000051494985,0.000037653277,0.000015077761,0.000069264344,0.002195726],"study_design_scores_gemma":[0.00027570507,0.000021249225,0.8959925,0.00017282549,0.000057415098,2.777958e-7,0.10225299,0.00030516845,0.00008404087,0.00044814806,0.00012500728,0.0002646381],"about_ca_topic_score_codex":0.07475852,"about_ca_topic_score_gemma":0.2490081,"teacher_disagreement_score":0.17424957,"about_ca_system_score_codex":0.00019014104,"about_ca_system_score_gemma":0.000098630786,"threshold_uncertainty_score":0.93140274},"labels":[],"label_agreement":null},{"id":"W3214498602","doi":"10.1155/2021/5032726","title":"School Travel Inequity between Students from Public and Private Schools in the City of Shenzhen, China","year":2021,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Disadvantaged; Residence; China; Context (archaeology); Public transport; School choice; Travel behavior; Mode choice; Business; Geography; Economic growth; Political science; Demographic economics; Transport engineering; Economics; Engineering","score_opus":0.03095002889076199,"score_gpt":0.3355976931632942,"score_spread":0.3046476642725322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3214498602","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972247,0.0003814518,0.0008954525,0.0010915786,0.00010935467,0.00016262471,0.00004233461,0.0000046686982,0.00008785505],"genre_scores_gemma":[0.9982555,0.0002571556,0.0012588948,0.000042742504,0.00013870333,0.0000021276499,0.000031484287,0.0000051521797,0.000008256546],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99803597,0.00017156193,0.0007254038,0.00015504126,0.000742209,0.00016982446],"domain_scores_gemma":[0.99896413,0.000109362954,0.000464722,0.00012306812,0.00021966963,0.00011904289],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011383699,0.00009577463,0.00030700018,0.0000776667,0.00012245105,0.00006915828,0.0003481611,0.00007669017,0.00006402699],"category_scores_gemma":[0.00014983024,0.00007477764,0.0000963931,0.00044883828,0.000097503,0.0011471194,0.0000034043412,0.0003894414,2.7101922e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004593594,0.00013535522,0.9884716,0.000016588529,0.00003596375,0.000018343026,0.008046895,0.000020022813,0.0011314378,0.00022449845,0.000001983663,0.0018513483],"study_design_scores_gemma":[0.0009647647,0.000037258225,0.9836629,0.00007437191,0.000067595465,1.7596608e-7,0.0048019155,2.2123828e-7,0.0006689829,0.009526298,0.00012284341,0.00007266576],"about_ca_topic_score_codex":0.00040630146,"about_ca_topic_score_gemma":0.004236365,"teacher_disagreement_score":0.009301799,"about_ca_system_score_codex":0.00004792759,"about_ca_system_score_gemma":0.00024172822,"threshold_uncertainty_score":0.30493438},"labels":[],"label_agreement":null},{"id":"W3215124942","doi":"10.32920/ryerson.14667936.v1","title":"Exploring urban accessibility scores using multi-criteria decision analysis techniques","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University","funders":"","keywords":"Walkability; Neighbourhood (mathematics); Weighting; Multiple-criteria decision analysis; Geography; Statistics; Transport engineering; Computer science; Built environment; Mathematics; Medicine; Operations research; Engineering; Civil engineering","score_opus":0.2649494575641235,"score_gpt":0.4279567810148285,"score_spread":0.16300732345070496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3215124942","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90008616,0.00045764196,0.09599329,0.00004987212,0.000843592,0.00056158146,0.00003319608,0.00053800765,0.0014366865],"genre_scores_gemma":[0.8993132,0.000247541,0.09957581,0.00004266923,0.00043431373,0.00007986771,0.00010434781,0.000027100908,0.000175124],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99542385,0.00044637636,0.0009994694,0.0016095799,0.000914783,0.0006059239],"domain_scores_gemma":[0.9972339,0.00019420822,0.00037325794,0.001360452,0.0005497826,0.0002883471],"candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0022450918,0.0004494128,0.001020763,0.00053564075,0.0007537855,0.0012832804,0.001274908,0.00051280996,0.0019515447],"category_scores_gemma":[0.00039212938,0.0004218759,0.00093697384,0.0017702971,0.0004107032,0.001541352,0.0008586268,0.0006915552,0.000002732761],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024897312,0.0002685028,0.98380375,0.00010496066,0.00029887113,0.000022059705,0.0055382303,0.000038649636,0.00037945743,0.000030991538,0.000020966909,0.009468643],"study_design_scores_gemma":[0.00017679638,0.000009358963,0.9824529,0.0004322836,0.0013869527,9.9986494e-8,0.0037231774,0.0025759032,0.006821399,0.001065096,0.0003325476,0.0010234438],"about_ca_topic_score_codex":0.0441769,"about_ca_topic_score_gemma":0.050049365,"teacher_disagreement_score":0.0084452,"about_ca_system_score_codex":0.0004779272,"about_ca_system_score_gemma":0.0007032177,"threshold_uncertainty_score":0.99982333},"labels":[],"label_agreement":null},{"id":"W3215224936","doi":"10.11575/prism/39386","title":"Associations between neighbourhood characteristics and sleep in adults","year":2020,"lang":"en","type":"dissertation","venue":"Open MIND","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Neighbourhood (mathematics); Sleep (system call); Psychology; Developmental psychology; Computer science; Mathematics","score_opus":0.03496657320296172,"score_gpt":0.3385445982372084,"score_spread":0.3035780250342467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3215224936","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8859102,0.00006533139,0.0000010253773,0.00034631274,0.00018899539,0.00035875908,0.00046394626,0.0000023193115,0.112663075],"genre_scores_gemma":[0.9917212,0.000038120506,0.00018174658,0.00001607926,0.00026988474,0.000010735869,0.0044882325,0.000011948891,0.0032620612],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99877524,0.00007779192,0.00036228265,0.00035789466,0.00022655519,0.00020021854],"domain_scores_gemma":[0.99936306,0.00008549706,0.0002680769,0.00009796819,0.0000656634,0.00011971348],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00035393212,0.00013060855,0.0003701576,0.00004736682,0.00023247486,0.00029775125,0.00041300998,0.00028599554,0.0013425102],"category_scores_gemma":[0.00019702826,0.0001436762,0.000040482508,0.00023520603,0.000039267623,0.00030142584,0.000024878564,0.00028601778,0.00006261251],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027195232,0.000038304308,0.79852724,0.000016193506,0.000023805476,0.000006049651,0.033002365,1.1686361e-8,0.0000023625446,0.000050223844,0.000023057748,0.16828321],"study_design_scores_gemma":[0.00022916967,0.000013110104,0.9905853,0.00009308899,0.000060460436,4.8943933e-9,0.0020534613,0.0000027754836,0.000016321794,0.0001474557,0.006626618,0.000172208],"about_ca_topic_score_codex":0.00427997,"about_ca_topic_score_gemma":0.07315204,"teacher_disagreement_score":0.1920581,"about_ca_system_score_codex":0.000070218164,"about_ca_system_score_gemma":0.00029013978,"threshold_uncertainty_score":0.99957037},"labels":[],"label_agreement":null},{"id":"W3215269288","doi":"10.5539/jgg.v13n2p17","title":"Evaluation of Accessibility to Public Services in the City of Aqaba Using Geographic Information Systems","year":2021,"lang":"en","type":"article","venue":"Journal of Geography and Geology","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Recreation; Geographic information system; Geography; Entertainment; Service (business); Business; Public participation GIS; Transport engineering; Cartography; Marketing; GIS and public health; Engineering; Political science","score_opus":0.0435639235990711,"score_gpt":0.3324018131995241,"score_spread":0.288837889600453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3215269288","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99678403,0.0014622778,0.00011050953,0.0006195002,0.00018393238,0.00018115048,0.0000049801365,0.0000019171005,0.00065168465],"genre_scores_gemma":[0.99972373,0.00008348703,0.00007739014,0.00007224619,0.000037249705,0.0000022576214,0.0000023000741,9.358715e-7,3.8662338e-7],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974799,0.0009044195,0.00068705616,0.00008384713,0.0006955834,0.00014919371],"domain_scores_gemma":[0.997211,0.0001551214,0.0006203636,0.0001303359,0.001829007,0.000054197222],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009576642,0.00006218179,0.0002506614,0.00042238657,0.000115934585,0.000050950115,0.0002471074,0.00009930103,0.0000536889],"category_scores_gemma":[0.00025750048,0.000044854765,0.000113317605,0.0011185182,0.00023235567,0.00090184255,0.000023764158,0.00013454763,7.8548624e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001956149,0.0000822481,0.99390185,0.00006630091,0.00003344752,8.5148923e-7,0.0034782083,0.000050337836,0.00004750359,0.000742286,9.340463e-7,0.001576465],"study_design_scores_gemma":[0.00027248872,0.000046457324,0.9868591,0.00004712955,0.00007664666,0.0000028595186,0.008077812,0.00013763212,0.000037444574,0.004251163,0.00015032398,0.000040954576],"about_ca_topic_score_codex":0.003582901,"about_ca_topic_score_gemma":0.0048839794,"teacher_disagreement_score":0.0093191415,"about_ca_system_score_codex":0.0000140209295,"about_ca_system_score_gemma":0.00027455698,"threshold_uncertainty_score":0.54162985},"labels":[],"label_agreement":null},{"id":"W3215487494","doi":"10.32920/ryerson.14652288.v1","title":"Impacts of subway pricing on fare equality among passengers: a Toronto case study","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"TRIPS architecture; Equity (law); Disadvantaged; Kilometer; Transport engineering; Subsidy; Business; Transit (satellite); Geography; Demographic economics; Public transport; Advertising; Economics; Economic growth; Engineering; Political science","score_opus":0.06268817513152239,"score_gpt":0.3780508869209466,"score_spread":0.3153627117894242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3215487494","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.979048,0.00023640043,0.000107986605,0.000065693785,0.00048161842,0.00117765,0.00002505951,0.00011989859,0.018737687],"genre_scores_gemma":[0.99926203,0.000023029095,0.00009024981,0.000031974345,0.00019238392,0.000032279477,0.00002071372,0.000016848653,0.00033045968],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99663305,0.00066955114,0.00069739687,0.0007778223,0.0008009827,0.00042121432],"domain_scores_gemma":[0.9979741,0.00022167164,0.00039909614,0.0008366704,0.00032115082,0.0002473344],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0021953874,0.0002965715,0.0006694424,0.00004186562,0.00031596908,0.00021976899,0.00044634144,0.00034849424,0.0013547228],"category_scores_gemma":[0.00022919646,0.00025778855,0.00029531252,0.00018087025,0.00019578561,0.00038662853,0.00023046069,0.00046145127,0.000001243413],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000176534,0.000951586,0.8905235,0.0001951853,0.00010737793,0.0006593001,0.10672882,0.000010237347,0.000013935771,0.0001231315,0.00002686249,0.00064243324],"study_design_scores_gemma":[0.00028312742,0.0000989225,0.58689004,0.00018551158,0.000121817335,8.089617e-7,0.4116807,0.000010072905,0.00021717302,0.000114061346,0.00002493934,0.00037282906],"about_ca_topic_score_codex":0.81246835,"about_ca_topic_score_gemma":0.93626124,"teacher_disagreement_score":0.30495188,"about_ca_system_score_codex":0.00055088033,"about_ca_system_score_gemma":0.0006376705,"threshold_uncertainty_score":0.9999874},"labels":[],"label_agreement":null},{"id":"W3215951292","doi":"","title":"Management de la mobilité par le \"Marketing individualisé\" : une approche innovante pour changer durablement les comportements dans les déplacements quotidiens","year":2002,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Northern Studies","funders":"","keywords":"Humanities; Political science; Sociology; Art","score_opus":0.02734263143530751,"score_gpt":0.2654147322538436,"score_spread":0.23807210081853608,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3215951292","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69085073,0.0013316743,0.031177612,0.011158385,0.00034232478,0.0016844698,0.00021917488,0.0002704648,0.26296517],"genre_scores_gemma":[0.91961014,0.002482216,0.027947046,0.00010674494,0.000079488906,0.00037889177,0.00074761425,0.00008954612,0.048558313],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9781064,0.01578765,0.0016438336,0.001768712,0.001395109,0.0012982935],"domain_scores_gemma":[0.9929762,0.001703575,0.0014894498,0.0020686842,0.0013277386,0.00043437365],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.025858996,0.00083999656,0.0008030206,0.00029269318,0.0024950826,0.00067935884,0.0026077256,0.0006191167,0.0010510244],"category_scores_gemma":[0.00058983726,0.00094406196,0.00043310222,0.0013505082,0.0017559095,0.00039102873,0.0015223952,0.0011741838,0.00005371903],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006451022,0.006810013,0.73331344,0.0015913537,0.00092621386,0.00005671739,0.11784514,0.00018025223,0.0014477496,0.05633217,0.0025230295,0.078909434],"study_design_scores_gemma":[0.0037708199,0.0000033463841,0.72050893,0.00767772,0.0006792161,0.000008203649,0.029604401,0.0062067662,0.009105383,0.008399267,0.21157478,0.0024611563],"about_ca_topic_score_codex":0.023419153,"about_ca_topic_score_gemma":0.01331085,"teacher_disagreement_score":0.22875942,"about_ca_system_score_codex":0.000768436,"about_ca_system_score_gemma":0.00038877092,"threshold_uncertainty_score":0.99986213},"labels":[],"label_agreement":null},{"id":"W3216179283","doi":"10.1088/1742-6596/1625/1/012035","title":"Development of Subsidized Housing Scheme with Sustainable Transportation: A Case Study of Housing in the Urban Fringe of Semarang and Kendal","year":2020,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Subsidy; Business; Public transport; Government (linguistics); Subsidized housing; Public housing; Quarter (Canadian coin); Indonesian government; Sustainable transport; Transport engineering; Economic growth; Indonesian; Sustainability; Engineering; Economics; Geography","score_opus":0.04867607750423332,"score_gpt":0.28883960822922666,"score_spread":0.24016353072499336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3216179283","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988502,0.00005764053,0.0007054372,0.00010861174,0.000010390389,0.00019476881,0.0000023520709,0.0000029104665,0.00006763462],"genre_scores_gemma":[0.99836636,0.000007413241,0.0015771402,0.0000060012594,0.000034080553,0.0000013442107,5.027446e-7,0.0000045466063,0.000002644836],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9988039,0.000095992866,0.0005043738,0.00009060488,0.0003780901,0.00012704419],"domain_scores_gemma":[0.998861,0.000055139164,0.00054364285,0.00006084039,0.00043686235,0.00004252712],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006105049,0.00008611431,0.00033552945,0.000035455014,0.00013914327,0.000030160336,0.0001462192,0.000025204114,0.0000052968344],"category_scores_gemma":[0.00002218915,0.00006121582,0.00003506084,0.00037462043,0.00024318545,0.00058351184,0.000006725963,0.00013259136,9.371228e-9],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039898613,0.0002720372,0.43408686,0.00026396435,0.000051373605,0.00024557902,0.56036186,0.000022962256,0.001671135,0.0014308101,8.0593304e-7,0.0011936161],"study_design_scores_gemma":[0.0013644727,0.00045417866,0.09883039,0.00017278579,0.00008797423,0.0000038557428,0.8804855,0.000009645455,0.018061042,0.0003727639,0.00003431909,0.00012307524],"about_ca_topic_score_codex":0.0010313491,"about_ca_topic_score_gemma":0.006576818,"teacher_disagreement_score":0.33525646,"about_ca_system_score_codex":0.000016581884,"about_ca_system_score_gemma":0.00060900836,"threshold_uncertainty_score":0.3670019},"labels":[],"label_agreement":null},{"id":"W3216371813","doi":"","title":"Pedestrian Risk and Social Equity: The Spatial Distribution of Roadway Environment Features in Toronto, Canada","year":2018,"lang":"en","type":"article","venue":"Transportation Research Board 97th Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Pedestrian; Equity (law); Social equality; Geography; Political science; Archaeology","score_opus":0.04090076148111015,"score_gpt":0.3851137147472891,"score_spread":0.34421295326617896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3216371813","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9900992,0.0005318894,0.00028860584,0.0034924343,0.00016951136,0.0016287543,0.0013664931,0.000046018333,0.002377121],"genre_scores_gemma":[0.99755204,0.00081379974,0.00008562595,0.000038109,0.00046349142,0.00016645854,0.0004945605,0.000031660773,0.00035423573],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.989646,0.0021896607,0.0010621841,0.0008412289,0.0047477414,0.0015131809],"domain_scores_gemma":[0.99634904,0.0010178114,0.00028826247,0.00038416425,0.0015690726,0.00039165464],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.01029894,0.0002897051,0.00045037505,0.00020950595,0.0026212365,0.00014982902,0.0008117227,0.0003156338,0.0006484919],"category_scores_gemma":[0.00042800128,0.00025549726,0.00013098706,0.0010248879,0.0035956816,0.00067257416,0.000025801959,0.0012942879,0.0000061866012],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015332232,0.00033487153,0.8954765,0.0002633534,0.00007537889,0.00004521775,0.060906656,0.000046313617,0.00023398781,0.00765957,0.0036151025,0.029809788],"study_design_scores_gemma":[0.00087550323,0.00024125454,0.9281158,0.000056435627,0.000031053252,3.421241e-8,0.040826283,0.00002196472,0.00036105045,0.0010144566,0.028219793,0.000236379],"about_ca_topic_score_codex":0.98833996,"about_ca_topic_score_gemma":0.9984926,"teacher_disagreement_score":0.032639254,"about_ca_system_score_codex":0.0010450017,"about_ca_system_score_gemma":0.0020861207,"threshold_uncertainty_score":0.99998975},"labels":[],"label_agreement":null},{"id":"W3216382112","doi":"10.1016/j.amepre.2021.09.006","title":"Perceived Urban Environment Attributes and Device-Measured Physical Activity in Latin America: An 8-Nation Study","year":2021,"lang":"en","type":"article","venue":"American Journal of Preventive Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Walkability; Built environment; Physical activity; Neighbourhood (mathematics); Level design; Cycling; Environmental health; Poison control; Geography; Diversity (politics); Gerontology; Observational study; Demography; Medicine; Physical medicine and rehabilitation; Engineering; Forestry; Sociology; Computer science","score_opus":0.04222249425500301,"score_gpt":0.33509069932801516,"score_spread":0.29286820507301214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3216382112","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974391,0.0001564216,0.0004843616,0.0015203494,0.00006696053,0.00019128124,0.0000030871709,0.000006217291,0.00013225916],"genre_scores_gemma":[0.99924725,0.000074595075,0.00019604924,0.000045222598,0.00033816407,0.000003927409,0.0000031244126,0.000006855642,0.000084817206],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975762,0.0010886482,0.00030056402,0.0002359071,0.00060585164,0.00019285743],"domain_scores_gemma":[0.99889827,0.00020610014,0.00043912444,0.00012271918,0.0001536655,0.0001801152],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010229499,0.00012105214,0.0005076676,0.00008806991,0.00012671655,0.000016894088,0.0001445846,0.000019343966,0.00010967729],"category_scores_gemma":[0.0002600718,0.000097309596,0.000058717746,0.00042383824,0.00082038064,0.00035960934,0.000020515312,0.0002615994,9.322282e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008004804,0.001422659,0.8769107,0.000004554857,0.00005582805,0.000054997563,0.047744527,0.0000057662032,0.0033898056,0.000009631472,0.000015968855,0.070305526],"study_design_scores_gemma":[0.00082798064,0.0010062328,0.9438318,0.000051944087,0.00009498261,9.1385544e-7,0.053585846,0.00003119057,0.00009376337,0.00014616593,0.0002386485,0.00009052113],"about_ca_topic_score_codex":0.001516466,"about_ca_topic_score_gemma":0.0011048432,"teacher_disagreement_score":0.070215,"about_ca_system_score_codex":0.00014249352,"about_ca_system_score_gemma":0.00013985245,"threshold_uncertainty_score":0.39681703},"labels":[],"label_agreement":null},{"id":"W3216499975","doi":"10.1111/josh.13102","title":"Associations Between School Environments, Policies and Practices and Children's Physical Activity and Active Transportation","year":2021,"lang":"en","type":"article","venue":"Journal of School Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia; Children's Hospital of Eastern Ontario; University of Lethbridge; Université du Québec à Trois-Rivières","funders":"Heart and Stroke Foundation of Canada","keywords":"Context (archaeology); Multilevel model; Physical activity; Inclusion (mineral); Psychology; Regression analysis; Environmental health; Medicine; Geography; Physical therapy; Social psychology","score_opus":0.039883178662710295,"score_gpt":0.38494928190010475,"score_spread":0.34506610323739445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3216499975","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98912644,0.0007071115,0.000055911692,0.009774814,0.00003291387,0.00012159299,0.00010954877,0.0000056828103,0.000065977256],"genre_scores_gemma":[0.9967166,0.002396491,0.00025287858,0.00013144458,0.0004432655,8.3510025e-7,0.000010900758,0.00000508599,0.00004250476],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988401,0.00023727828,0.00023671705,0.00015756529,0.00034387392,0.00018449961],"domain_scores_gemma":[0.998389,0.00019512077,0.00088527246,0.00005550211,0.000058676545,0.00041643044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006609335,0.00008445182,0.0002872883,0.0000486906,0.00051146565,0.00010517819,0.000054714543,0.000064721935,0.000016578157],"category_scores_gemma":[0.00029498566,0.00007785931,0.000041478543,0.00013039136,0.00014780638,0.0012893021,0.000006892528,0.00039367515,5.8638545e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023742354,0.00008907347,0.9841687,0.000010921934,0.000054225377,0.000001749884,0.003770061,2.8742204e-7,0.0001265198,0.00007523632,0.00005986662,0.0116196005],"study_design_scores_gemma":[0.00035138213,0.00007056986,0.9966106,0.000024602516,0.000067955414,0.0000011782331,0.0015414628,7.617269e-7,0.000184675,0.00068528665,0.00039376813,0.00006776724],"about_ca_topic_score_codex":0.002437286,"about_ca_topic_score_gemma":0.0014076283,"teacher_disagreement_score":0.0124418745,"about_ca_system_score_codex":0.00013008836,"about_ca_system_score_gemma":0.00062272284,"threshold_uncertainty_score":0.3933832},"labels":[],"label_agreement":null},{"id":"W3216512778","doi":"","title":"Beyond the Quarter Mile: Examining Travel Distances by Walking and Cycling, Montreal, Canada","year":2010,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mile; Cycling; Quarter (Canadian coin); Geography; Archaeology; Geodesy","score_opus":0.011345922274897112,"score_gpt":0.23188973689544046,"score_spread":0.22054381462054334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3216512778","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9234307,0.00032494936,4.1797568e-7,0.00026182242,0.0008503695,0.00028547496,0.0004458192,0.00007550804,0.074324936],"genre_scores_gemma":[0.9979346,0.000062784056,0.00008952346,0.0005456236,0.000109883425,0.000030026844,0.00002503976,0.000032411026,0.0011701182],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9971286,0.00025714943,0.00047992097,0.0006670996,0.0007419853,0.0007252584],"domain_scores_gemma":[0.9983706,0.0004999865,0.00021985313,0.00043352804,0.00011316514,0.00036286245],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0015251595,0.0003107525,0.0003247996,0.0000419704,0.0034163706,0.00020466984,0.00068150944,0.00022145215,0.0002555003],"category_scores_gemma":[0.00030810095,0.00024670686,0.00007725521,0.00032099098,0.00048547226,0.000824612,0.000053281074,0.0009537647,0.0000053110675],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016523378,0.00047932492,0.22218373,0.00016247845,0.000304766,0.00016254795,0.0020844028,0.0000033847798,0.09166359,0.0763933,0.0010477816,0.6053495],"study_design_scores_gemma":[0.0017095654,0.00012142672,0.54336673,0.00011120978,0.00024891712,0.000007787008,0.013173918,0.0000384153,0.01539191,0.05373439,0.37008077,0.0020149432],"about_ca_topic_score_codex":0.61251336,"about_ca_topic_score_gemma":0.98183495,"teacher_disagreement_score":0.6033345,"about_ca_system_score_codex":0.00017206547,"about_ca_system_score_gemma":0.000119025324,"threshold_uncertainty_score":0.9999985},"labels":[],"label_agreement":null},{"id":"W3216675394","doi":"10.1177/03611981211051620","title":"Modeling the Demand for Shared E-Scooter Services","year":2021,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Negative binomial distribution; Count data; Statistics; Econometrics; Goodness of fit; Population; Mathematics; Demography; Poisson distribution","score_opus":0.1343864233976619,"score_gpt":0.43124559595573414,"score_spread":0.29685917255807226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3216675394","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9765806,0.00074710906,0.005529662,0.0147763295,0.0006468681,0.0012155314,0.00010838917,0.000027601016,0.000367919],"genre_scores_gemma":[0.99511755,0.0008782237,0.0013791702,0.00014834417,0.00055301806,0.00010515675,0.000038072307,0.000040484196,0.0017400067],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99172217,0.0016610834,0.0012726225,0.00045969777,0.003834807,0.0010496114],"domain_scores_gemma":[0.990322,0.0013351953,0.00029280933,0.00053820777,0.007144301,0.0003674818],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.008918656,0.00020785711,0.00039987036,0.0003318747,0.0026482497,0.00045202652,0.0016974359,0.00022772478,0.0006153456],"category_scores_gemma":[0.00025244814,0.00013649765,0.00060331455,0.0020262315,0.00080221257,0.0010966521,0.000007910751,0.001662561,0.000009481592],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0033310617,0.00083101157,0.87186205,0.0012859136,0.00058114534,0.00020326315,0.07415527,0.010937257,0.0038011968,0.014932565,0.0070870924,0.010992189],"study_design_scores_gemma":[0.0022130285,0.00023804196,0.8728427,0.00060678116,0.00016836042,2.1232495e-7,0.028836126,0.0020171618,0.0013188121,0.025227048,0.066189304,0.00034238072],"about_ca_topic_score_codex":0.020320037,"about_ca_topic_score_gemma":0.40401056,"teacher_disagreement_score":0.38369054,"about_ca_system_score_codex":0.00019451477,"about_ca_system_score_gemma":0.0016192651,"threshold_uncertainty_score":0.9986502},"labels":[],"label_agreement":null},{"id":"W3216982443","doi":"10.1080/01441647.2021.2004262","title":"Are people who use active modes of transportation more physically active? An overview of reviews across the life course","year":2021,"lang":"en","type":"article","venue":"Transport Reviews","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":80,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; Public Health Agency of Canada; Health Canada; University of Ottawa","funders":"","keywords":"Socioeconomic status; Physical activity; Ethnic group; Gerontology; Life course approach; Active living; Poison control; Psychology; Injury prevention; Human factors and ergonomics; Destinations; Suicide prevention; Occupational safety and health; Medicine; Environmental health; Developmental psychology; Population; Geography; Physical medicine and rehabilitation; Sociology","score_opus":0.13101374966137475,"score_gpt":0.4124768404154214,"score_spread":0.28146309075404663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3216982443","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93724626,0.05912106,0.00022782273,0.00061998755,0.00008468675,0.0016017174,0.0008078064,0.000035248362,0.00025542025],"genre_scores_gemma":[0.9171533,0.08161225,0.00022531429,0.00029900385,0.00011096673,0.00010696121,0.0002573211,0.000025128862,0.00020978415],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.996421,0.0005967003,0.0013732712,0.0005646694,0.00062553847,0.00041883416],"domain_scores_gemma":[0.99689466,0.00012398053,0.0013573437,0.0008334562,0.00056285266,0.0002277087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00128735,0.0003329129,0.0016826473,0.00002170642,0.00031433685,0.000027192275,0.0005940874,0.00015864025,0.00037605345],"category_scores_gemma":[0.00014662198,0.00023633425,0.000768413,0.0011567891,0.00065033714,0.0012025589,0.0000045933307,0.00030560876,0.0000059287304],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004060986,0.003693854,0.55690616,0.0055036647,0.00032435326,0.000028469809,0.2995798,0.00007607745,0.002357658,0.0051205587,0.00069153187,0.12531176],"study_design_scores_gemma":[0.00028164615,0.000028301918,0.93687534,0.0013441973,0.0005740778,1.3179651e-7,0.0059621856,0.000006400526,0.0012419102,0.00017267372,0.053246897,0.00026624612],"about_ca_topic_score_codex":0.0017691121,"about_ca_topic_score_gemma":0.047165573,"teacher_disagreement_score":0.37996915,"about_ca_system_score_codex":0.000035408248,"about_ca_system_score_gemma":0.00043590533,"threshold_uncertainty_score":0.97022116},"labels":[],"label_agreement":null},{"id":"W3217076048","doi":"10.1155/2021/5555488","title":"How Employees Choose their Commuting Transport Mode: Analysis Using the Stimulus-Organism-Response Model","year":2021,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Organism; Stimulus (psychology); Variables; Public transport; Structural equation modeling; Mode of transport; Travel behavior; Mode choice; Psychology; Transport engineering; Business; Engineering; Mathematics; Cognitive psychology; Statistics; Biology","score_opus":0.03072085106239439,"score_gpt":0.3245943123915254,"score_spread":0.29387346132913106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3217076048","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8646235,0.00040413655,0.13307649,0.0014800257,0.0001704349,0.00013192327,0.00005704227,0.00002943824,0.000027047754],"genre_scores_gemma":[0.99006265,0.00014020513,0.009359478,0.00010621237,0.00012964816,0.0000022153088,0.00003581404,0.00002251077,0.00014126644],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99767065,0.00027619902,0.0007393545,0.00024647109,0.00072623364,0.00034110242],"domain_scores_gemma":[0.9978761,0.000246133,0.0006361137,0.00028407117,0.0007936466,0.00016392255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012022931,0.00020586248,0.00048612856,0.00017387356,0.0007155796,0.000110085886,0.00039845906,0.00011776393,0.000045737543],"category_scores_gemma":[0.00009348716,0.0001545292,0.00058257877,0.0013962681,0.00021194213,0.0013392005,0.0000024966498,0.0004053602,2.0589513e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006736727,0.00023208378,0.14604916,0.000023150773,0.00046320882,0.00008981351,0.05828884,0.76836663,0.023556719,0.00023803119,0.0000037132613,0.0020149774],"study_design_scores_gemma":[0.0016882028,0.000088658475,0.9131668,0.00011090306,0.002697477,0.000003708526,0.05265174,0.010327665,0.013189613,0.004875487,0.0006687977,0.0005309489],"about_ca_topic_score_codex":0.00009617402,"about_ca_topic_score_gemma":0.004081131,"teacher_disagreement_score":0.7671176,"about_ca_system_score_codex":0.0001316949,"about_ca_system_score_gemma":0.0006711271,"threshold_uncertainty_score":0.63015175},"labels":[],"label_agreement":null},{"id":"W3217110759","doi":"10.21203/rs.3.rs-1079932/v1","title":"ALF-Score++ - Transferability of a Predictive Network-Based Walkability Scoring System","year":2021,"lang":"en","type":"preprint","venue":"Research Square","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Queen's University; Memorial University of Newfoundland","funders":"","keywords":"Walkability; Transferability; Computer science; Transfer of learning; Machine learning; Metric (unit); Built environment; Process (computing); Artificial intelligence; Reuse; Engineering","score_opus":0.09629011926933467,"score_gpt":0.4022979217976796,"score_spread":0.3060078025283449,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3217110759","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9818436,0.001497742,0.0035115054,0.00035673645,0.0007053428,0.0033133365,0.00036847225,0.00026991902,0.008133327],"genre_scores_gemma":[0.99806273,0.00007354646,0.0004079224,0.000006121611,0.00073735934,0.00042209603,0.00019063358,0.000037521982,0.00006207841],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9880912,0.004620763,0.001061878,0.0015792323,0.0032725984,0.001374384],"domain_scores_gemma":[0.9934093,0.0014254252,0.00020646777,0.0017126927,0.0027427534,0.0005033777],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.014984152,0.00037772974,0.0010883125,0.00021377642,0.00097207376,0.00028484294,0.0013631248,0.0008394495,0.00045691995],"category_scores_gemma":[0.0010254633,0.00037507806,0.0007307442,0.0014461466,0.0020280294,0.00027763264,0.0003766706,0.0025485551,0.000004256516],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003792718,0.0005826076,0.9743916,0.011311341,0.000113043876,0.000037369628,0.0076081958,0.0031689615,0.00004526992,0.00070066453,0.00006143653,0.0016002826],"study_design_scores_gemma":[0.0005908113,0.000250601,0.9716314,0.0070077945,0.0001214027,1.7011628e-7,0.012728348,0.0025661683,0.001086637,0.0030265877,0.00035653924,0.00063352054],"about_ca_topic_score_codex":0.027146406,"about_ca_topic_score_gemma":0.01894679,"teacher_disagreement_score":0.016219102,"about_ca_system_score_codex":0.0016383893,"about_ca_system_score_gemma":0.0058953166,"threshold_uncertainty_score":0.9998701},"labels":[],"label_agreement":null},{"id":"W3217119308","doi":"10.5198/jtlu.2021.1872","title":"Developing vehicular and non-vehicular trip generation models for mid-rise residential buildings in Kelowna, British Columbia: Assessing the impact of built environment, land use, and neighborhood characteristics","year":2021,"lang":"en","type":"article","venue":"Journal of Transport and Land Use","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"Portland State University; California Department of Transportation; U.S. Department of Transportation","keywords":"TRIPS architecture; Transport engineering; Trip generation; Land use; Poison control; Engineering; Civil engineering; Environmental health","score_opus":0.03842273833208666,"score_gpt":0.2924056407457942,"score_spread":0.2539829024137076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3217119308","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9932561,0.0010667674,0.0051746257,0.00018184648,0.000066795015,0.00019205117,0.000055467928,0.0000027249152,0.0000036437052],"genre_scores_gemma":[0.9953093,0.0034760598,0.0009638624,0.000020380896,0.00016108225,0.0000026302018,0.000024066943,0.0000101844425,0.00003244408],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987864,0.0000694087,0.00053422444,0.00018663141,0.00023175479,0.00019158528],"domain_scores_gemma":[0.99929166,0.00009783917,0.0002927867,0.000075890566,0.00013889621,0.00010291975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007514547,0.00010267955,0.00036005423,0.000041364525,0.0002955583,0.0005565388,0.00007639882,0.00012556746,0.000010917526],"category_scores_gemma":[0.000047650203,0.00009528169,0.000111082205,0.00010482759,0.00013309928,0.0012680347,0.000008619785,0.00016672669,8.902554e-9],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003852823,0.0000542451,0.99692005,0.00005612406,0.000059666057,0.00009189951,0.00089557044,0.0001419993,0.001137334,0.000004981669,0.000021042562,0.00057857647],"study_design_scores_gemma":[0.0012119918,0.000043112246,0.9964681,0.0001928205,0.0001391262,0.000017417995,0.00011833968,0.00093425374,0.000090383466,0.00047528892,0.00018263137,0.00012652134],"about_ca_topic_score_codex":0.01556055,"about_ca_topic_score_gemma":0.03559162,"teacher_disagreement_score":0.020031072,"about_ca_system_score_codex":0.000038399994,"about_ca_system_score_gemma":0.00025456774,"threshold_uncertainty_score":0.99099493},"labels":[],"label_agreement":null},{"id":"W3217461730","doi":"10.1002/cl2.1203","title":"Studies of the effectiveness of transport sector interventions in low‐ and middle‐income countries: An evidence and gap map","year":2021,"lang":"en","type":"article","venue":"Campbell Systematic Reviews","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Campbell Scientific (Canada)","funders":"Foreign, Commonwealth and Development Office","keywords":"Enforcement; Poverty; Business; Destinations; Psychological intervention; Population; Geography; Tanzania; Investment (military); Tourism; Economic growth; Economics; Environmental planning; Political science","score_opus":0.16791593222163506,"score_gpt":0.3916968550424314,"score_spread":0.22378092282079634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3217461730","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8185179,0.17850594,0.00005456589,0.000034097066,0.00015702835,0.0026457394,0.000007144096,0.000004735642,0.00007281856],"genre_scores_gemma":[0.9927127,0.006934789,0.00004717923,0.0000078765615,0.000014238724,0.00016253671,8.0781047e-7,0.0000047030535,0.00011519288],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9952545,0.0030127787,0.0011300131,0.0002358245,0.00024086825,0.00012597279],"domain_scores_gemma":[0.99758327,0.0013145572,0.0004977664,0.00036078098,0.00019543323,0.00004819227],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008806923,0.00011882831,0.0011067543,0.000033991953,0.00010727497,0.000016238548,0.00020331518,0.000052023228,0.000025072291],"category_scores_gemma":[0.0014578729,0.0000719533,0.00018941323,0.0003348974,0.00045311486,0.0002558003,0.000023879795,0.00007035793,0.0000010039458],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000068945183,0.000046526,0.42478868,0.56637764,0.00002944793,0.0000019132913,0.007982898,4.2755224e-7,0.000059625076,0.0006979291,7.40886e-7,0.000007263349],"study_design_scores_gemma":[0.0002799979,0.000046287012,0.36901847,0.6225141,0.00030221042,0.0000014921951,0.0060879863,0.0000044017756,0.00041763717,0.0011107082,0.00006354632,0.00015315495],"about_ca_topic_score_codex":0.00024381733,"about_ca_topic_score_gemma":0.0055774567,"teacher_disagreement_score":0.17419474,"about_ca_system_score_codex":0.00005000408,"about_ca_system_score_gemma":0.00009322357,"threshold_uncertainty_score":0.31123516},"labels":[],"label_agreement":null},{"id":"W3217525538","doi":"10.1038/s41366-021-01010-1","title":"Neighborhood built environment typologies and adiposity in children and adolescents","year":2021,"lang":"en","type":"article","venue":"International Journal of Obesity","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; McGill University; Public Health Agency of Canada; Centre Hospitalier Universitaire Sainte-Justine; Université de Montréal; McGill University Health Centre","funders":"Canadian Institutes of Health Research; Heart and Stroke Foundation of Canada","keywords":"Walkability; Waist; Body mass index; Demography; Obesity; Built environment; Medicine; Cohort; Cohort study; Gerontology; Environmental health; Geography; Physical activity; Endocrinology; Internal medicine; Physical therapy","score_opus":0.009787132787101728,"score_gpt":0.27323691633991604,"score_spread":0.2634497835528143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3217525538","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974844,0.00089527917,0.00009425004,0.0010852303,0.00014926007,0.00003206694,0.0000068483623,0.0000030376182,0.0002496676],"genre_scores_gemma":[0.9988915,0.0006826049,0.0001812895,0.000089572146,0.00011911939,1.7085787e-7,0.0000015382456,0.0000016615074,0.00003259672],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993076,0.00006624101,0.00017445466,0.0000962891,0.00027332167,0.00008212737],"domain_scores_gemma":[0.999705,0.00002278359,0.00009875215,0.00003960225,0.000073738935,0.000060110397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029311157,0.000047011912,0.00009816579,0.000041775154,0.000056493725,0.000049499784,0.0001592369,0.000041637628,0.000065427004],"category_scores_gemma":[0.00006773921,0.0000436491,0.000031031253,0.000033275574,0.00013031486,0.00023846976,0.000052195177,0.0001271162,0.000001046567],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019999296,0.00016204976,0.995758,0.0000015497012,0.000028179573,0.00003517009,0.00041785388,0.0000016448022,0.00007356158,0.00022691253,0.000020896709,0.0032541812],"study_design_scores_gemma":[0.00037192722,0.000015242927,0.9965058,0.000026840158,0.000011026625,0.000013962098,0.00010926934,0.000001701062,0.00018359265,0.0025832362,0.00013486955,0.00004255645],"about_ca_topic_score_codex":0.0005233792,"about_ca_topic_score_gemma":0.0007110708,"teacher_disagreement_score":0.0032116247,"about_ca_system_score_codex":0.00006195727,"about_ca_system_score_gemma":0.00006214452,"threshold_uncertainty_score":0.17799586},"labels":[],"label_agreement":null},{"id":"W323021018","doi":"","title":"Évaluation du mauvais appariement spatial entre les lieux de résidence et d’emploi sur le territoire de la zone métropolitaine de l’emploi de Montréal.","year":2015,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Humanities; Art","score_opus":0.0309060716412861,"score_gpt":0.26589261460485514,"score_spread":0.23498654296356902,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W323021018","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6823266,0.0032082726,0.26078385,0.03283886,0.00022880323,0.00073627377,0.00013083329,0.00025815744,0.019488351],"genre_scores_gemma":[0.94038904,0.0028328695,0.040793516,0.0002441487,0.00020803875,0.00018962986,0.00054465246,0.00007687175,0.01472123],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9766849,0.018765768,0.0010550948,0.0011613391,0.0011192599,0.0012135863],"domain_scores_gemma":[0.99213254,0.00224381,0.00086568366,0.0016415175,0.0023536652,0.00076276745],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.02640616,0.0006249093,0.0006893409,0.00017364188,0.0014153826,0.0008356526,0.0020622555,0.00080240844,0.00042258739],"category_scores_gemma":[0.003274349,0.00072058267,0.00041804463,0.0005554812,0.0016332902,0.0005140218,0.000793409,0.0011743064,0.00003438553],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009868941,0.003025992,0.7133292,0.0003318427,0.0002072923,0.00004823135,0.1269864,0.0025704785,0.0025559147,0.0679996,0.00570238,0.077144],"study_design_scores_gemma":[0.0029493861,0.0000073225888,0.66391486,0.003230475,0.0005428923,0.000034535213,0.0053156614,0.09313543,0.017449541,0.078108,0.13341516,0.0018967515],"about_ca_topic_score_codex":0.60269135,"about_ca_topic_score_gemma":0.41767985,"teacher_disagreement_score":0.25806245,"about_ca_system_score_codex":0.002572336,"about_ca_system_score_gemma":0.005772119,"threshold_uncertainty_score":0.99988467},"labels":[],"label_agreement":null},{"id":"W324311759","doi":"10.1080/15487733.2013.11908105","title":"Local responses to regional mandates: assessing municipal greenhouse gas emissions reduction targets in British Columbia","year":2013,"lang":"en","type":"article","venue":"Sustainability Science Practice and Policy","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Legislation; Greenhouse gas; Per capita; Climate change; Work (physics); Geography; Environmental protection; Population; Population growth; Natural resource economics; Business; Agricultural economics; Political science; Economics; Environmental health; Ecology; Engineering","score_opus":0.022677235854482433,"score_gpt":0.37442241105419877,"score_spread":0.3517451751997163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W324311759","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9541711,0.00008823662,0.000118643045,0.043154154,0.00008342451,0.0008277282,0.0000041652625,0.000066641966,0.0014859063],"genre_scores_gemma":[0.9964852,0.00008147104,0.00073019107,0.00070129643,0.00015885745,0.000069102156,0.0000022422148,0.000008355107,0.0017633137],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99682724,0.0005658301,0.00038229462,0.0006926328,0.0006734991,0.00085852173],"domain_scores_gemma":[0.99752223,0.0005057251,0.00013340321,0.00036815307,0.000889414,0.0005810939],"candidate_categories":["metaresearch","sts","scholarly_communication"],"consensus_categories":["sts"],"category_scores_codex":[0.004520354,0.00011239995,0.00019516856,0.00024013851,0.0021261813,0.0021694684,0.00047940543,0.00011617508,0.00016874209],"category_scores_gemma":[0.012878276,0.00015454092,0.000044341916,0.0024135886,0.0031221416,0.006578924,0.00013931165,0.00032764734,0.000007709498],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001360844,0.00097309233,0.7543428,0.00011459757,0.00000853588,0.000060854076,0.07696364,0.00004302502,0.00037174378,0.0012903275,0.0026063046,0.16308899],"study_design_scores_gemma":[0.00024303049,0.000088548666,0.75482666,0.00004480427,0.00001176159,0.000015946734,0.18559337,0.00008960884,0.0000152062385,0.022647167,0.036156088,0.00026781546],"about_ca_topic_score_codex":0.8246272,"about_ca_topic_score_gemma":0.27173027,"teacher_disagreement_score":0.5528969,"about_ca_system_score_codex":0.000999782,"about_ca_system_score_gemma":0.0045069847,"threshold_uncertainty_score":0.9995908},"labels":[],"label_agreement":null},{"id":"W327592465","doi":"","title":"A Pseudo-panel Investigation of Out-of-Home Discretionary Activity Participation","year":2015,"lang":"en","type":"article","venue":"Transportation Research Board 94th Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Respondent; Panel data; Recreation; Random effects model; Cross-sectional data; Estimation; Data collection; Psychology; Demographic economics; Econometrics; Statistics; Economics; Medicine; Mathematics; Political science","score_opus":0.2132869275601368,"score_gpt":0.4464562209928362,"score_spread":0.2331692934326994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W327592465","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9914322,0.00013811442,0.00089043943,0.0020086882,0.00036519824,0.0018838836,0.00052018504,0.00016892703,0.0025923466],"genre_scores_gemma":[0.9964272,0.00012954528,0.0015322408,0.000019159063,0.00025867586,0.00032896746,0.0004930151,0.00005966161,0.0007515684],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98599726,0.002898822,0.0016873316,0.00098419,0.0069471835,0.001485187],"domain_scores_gemma":[0.98780376,0.0014043404,0.00057919684,0.0006435138,0.008382827,0.0011863696],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.014499638,0.00035319274,0.00071597676,0.0012439529,0.0008761378,0.00009586491,0.00089609844,0.00046816203,0.00029636137],"category_scores_gemma":[0.0009834062,0.0003693277,0.00029277508,0.0033966177,0.0036234597,0.0019657714,0.000016519733,0.001265009,0.000047730202],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020237041,0.00058752525,0.8598751,0.00057723746,0.000091631766,0.000029905254,0.1167201,0.00042067518,0.005801446,0.009922013,0.0014299368,0.0025207116],"study_design_scores_gemma":[0.0014403913,0.0005925892,0.950754,0.00025067135,0.000059246875,4.014456e-8,0.028627407,0.00012705706,0.0073511745,0.008675038,0.0017319748,0.00039040126],"about_ca_topic_score_codex":0.043634385,"about_ca_topic_score_gemma":0.06562607,"teacher_disagreement_score":0.0908789,"about_ca_system_score_codex":0.0003295435,"about_ca_system_score_gemma":0.0026050666,"threshold_uncertainty_score":0.99987584},"labels":[],"label_agreement":null},{"id":"W331445853","doi":"10.7249/tr1187","title":"The impact of migration on transport and congestion","year":2011,"lang":"en","type":"book","venue":"RAND Corporation eBooks","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Public transport; Geography; Population; Car ownership; Traffic congestion; Regional science; Economic growth; Demographic economics; Political science; Transport engineering; Economics; Sociology; Engineering; Demography","score_opus":0.03704933613988081,"score_gpt":0.2872578553388275,"score_spread":0.25020851919894666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W331445853","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15290764,0.00020727942,0.00014551045,0.00005232141,0.00021894273,0.00079515245,0.000046094698,0.000048516227,0.84557855],"genre_scores_gemma":[0.73756295,0.000082104634,0.0000039921356,0.0000070889378,0.00012572257,0.000013015757,0.00008013869,0.000009757108,0.26211524],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9989682,0.00008087389,0.00033552363,0.00020388649,0.0002843344,0.00012718007],"domain_scores_gemma":[0.9990716,0.00009344322,0.00042228322,0.00017842784,0.00016585273,0.00006840824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005548172,0.00015826394,0.00022080146,0.000052593005,0.0004107016,0.000039868493,0.0001236643,0.00025158157,0.000048678907],"category_scores_gemma":[0.000013687155,0.00010644865,0.0001464037,0.00002636306,0.0004992929,0.0000972114,0.0000025922263,0.00016636128,0.0000036536114],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004611851,0.00031456823,0.17061137,0.0002810762,0.0006573533,0.000019899453,0.052304175,0.000043755128,0.00047452946,0.60315365,0.014557172,0.15297063],"study_design_scores_gemma":[0.0027657698,0.0013670132,0.4514959,0.00053810945,0.0005742711,0.0000010897973,0.0005156722,0.000060121496,0.00048867776,0.3966315,0.14433174,0.0012301301],"about_ca_topic_score_codex":0.0017700742,"about_ca_topic_score_gemma":0.023096295,"teacher_disagreement_score":0.5846553,"about_ca_system_score_codex":0.00008039995,"about_ca_system_score_gemma":0.00070120476,"threshold_uncertainty_score":0.99472964},"labels":[],"label_agreement":null},{"id":"W333072701","doi":"","title":"Is a Half-Mile Circle the Right Standard for TODs?","year":2013,"lang":"en","type":"preprint","venue":"eScholarship (California Digital Library)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mile; Last mile (transportation); Quarter (Canadian coin); RADIUS; Transit (satellite); Transport engineering; Geography; Mathematics; Engineering; Public transport; Archaeology; Computer science; Geodesy","score_opus":0.022611745293865403,"score_gpt":0.26833798768582656,"score_spread":0.24572624239196117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W333072701","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.73659176,0.0020882138,0.001459729,0.03034487,0.0019646068,0.005940653,0.046061743,0.0014498873,0.17409857],"genre_scores_gemma":[0.9858361,0.000057808196,0.00067288114,0.0016878053,0.0011673374,0.00042801493,0.0015442003,0.00011869075,0.008487185],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9960657,0.00018488112,0.00077963254,0.0010667108,0.00094894937,0.00095412973],"domain_scores_gemma":[0.99740994,0.00044923142,0.00039089756,0.00107536,0.00018699246,0.00048760153],"candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007657505,0.0005156777,0.00062573486,0.00010747254,0.001108644,0.00625817,0.0022719225,0.00069265754,0.005064133],"category_scores_gemma":[0.00035581653,0.00040194622,0.00078771886,0.0003780085,0.00069686986,0.003794927,0.00058203255,0.0012320231,0.0011599846],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00065329287,0.0008309923,0.607523,0.0012348098,0.000629043,0.000042011336,0.004116153,0.00001044592,0.000016192937,0.023263825,0.3066707,0.055009484],"study_design_scores_gemma":[0.00030418308,0.000033740554,0.008417669,0.00013151625,0.000055566947,2.0749114e-7,0.00014048158,0.000014294744,0.00037093132,0.21601269,0.7739875,0.00053127547],"about_ca_topic_score_codex":0.00019688625,"about_ca_topic_score_gemma":0.00012167655,"teacher_disagreement_score":0.59910536,"about_ca_system_score_codex":0.00012641767,"about_ca_system_score_gemma":0.0009740982,"threshold_uncertainty_score":0.99984324},"labels":[],"label_agreement":null},{"id":"W335562795","doi":"","title":"Walking to Transit: Influence of Built Environment at Varying Distances","year":2011,"lang":"en","type":"article","venue":"ITE journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transit (satellite); Mile; Built environment; Transport engineering; Standard deviation; Descriptive statistics; Quarter (Canadian coin); Regression analysis; Environmental science; Work (physics); Geography; Statistics; Mathematics; Public transport; Engineering; Geodesy; Civil engineering","score_opus":0.03581180123755024,"score_gpt":0.2797443534114317,"score_spread":0.2439325521738815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W335562795","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99323565,0.00025978507,0.00086087134,0.00018340799,0.00010751051,0.000073228344,0.0000039354663,0.000010325933,0.005265275],"genre_scores_gemma":[0.99863166,0.00009729634,0.0008552138,0.00006769801,0.00009765872,0.0000013497772,2.3350476e-7,0.000004643162,0.0002442679],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989227,0.000057020905,0.00027544773,0.00012258573,0.0003661187,0.0002561283],"domain_scores_gemma":[0.99954563,0.00002689552,0.00012583609,0.00009840691,0.00003117464,0.00017203852],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061906746,0.000069643276,0.00012542958,0.000042866748,0.00043085884,0.0000248508,0.00028253172,0.000039051094,0.0008646886],"category_scores_gemma":[0.000019913141,0.000059533828,0.00007482837,0.000108605804,0.0001476516,0.00038982564,0.000016925342,0.000119389275,0.000014787972],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010028387,0.00009454466,0.8976319,0.00001632008,0.00002315473,0.000030623305,0.08094399,0.000258973,0.0088913785,0.00016537045,0.000045011748,0.011798472],"study_design_scores_gemma":[0.00015912594,0.00003582886,0.98686594,0.0000626559,0.000022575347,0.0000018555077,0.00075253326,0.0000020608495,0.0030759384,0.0021617254,0.006736594,0.00012318573],"about_ca_topic_score_codex":0.00059781474,"about_ca_topic_score_gemma":0.0009862027,"teacher_disagreement_score":0.08923404,"about_ca_system_score_codex":0.00009090763,"about_ca_system_score_gemma":0.00004221575,"threshold_uncertainty_score":0.94677335},"labels":[],"label_agreement":null},{"id":"W345565246","doi":"10.1016/j.amepre.2014.10.008","title":"Physical Activity and Food Environment Assessments","year":2015,"lang":"en","type":"review","venue":"American Journal of Preventive Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Built environment; Context (archaeology); Observational study; Work (physics); Data collection; Computer science; Data science; Environmental impact assessment; Engineering; Medicine; Geography","score_opus":0.0790536254405897,"score_gpt":0.43001329547898676,"score_spread":0.35095967003839706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W345565246","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013404213,0.983862,0.00050735165,0.00017268462,0.00025710024,0.00037616957,0.00001580395,0.000006936509,0.0013977856],"genre_scores_gemma":[0.04222566,0.95621324,0.00013470487,0.000010710192,0.0010707787,0.000006421698,0.0000035628152,0.000017365197,0.00031755207],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9973292,0.00090243603,0.0004395228,0.00024149072,0.00085044897,0.00023689982],"domain_scores_gemma":[0.9974777,0.00025534525,0.0016565875,0.00015773256,0.000098225086,0.00035441038],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001720781,0.00025205858,0.0020368956,0.00012645553,0.00010256291,0.000015363696,0.00034394837,0.000057223635,0.00008698526],"category_scores_gemma":[0.0000905435,0.00016351085,0.00028473762,0.00026388705,0.0018311327,0.00021330001,0.00004327935,0.00052026636,0.0000035780813],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000092418095,0.0001772969,0.0004714053,0.00030125276,0.00025303004,0.000010505453,0.0012702523,2.2445029e-8,2.7418832e-7,0.00003138125,0.00014151147,0.9973338],"study_design_scores_gemma":[0.00034589673,0.0019969535,0.0016938266,0.003503383,0.001821465,0.0000061011956,0.0014338914,3.321721e-7,2.6564803e-7,0.0005537401,0.98844045,0.00020369452],"about_ca_topic_score_codex":0.00019357531,"about_ca_topic_score_gemma":0.000027368458,"teacher_disagreement_score":0.99713016,"about_ca_system_score_codex":0.00027900923,"about_ca_system_score_gemma":0.00053247565,"threshold_uncertainty_score":0.67468846},"labels":[],"label_agreement":null},{"id":"W34636589","doi":"","title":"Pedestrian Stride Frequency and Length Estimation in Outdoor Urban Environments using Video Sensors","year":2011,"lang":"en","type":"other","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Pedestrian; STRIDE; TRIPS architecture; Transport engineering; Data collection; Computer science; Cycling; Population; Geography; Engineering; Statistics; Computer security; Mathematics; Medicine; Environmental health","score_opus":0.01980109472878102,"score_gpt":0.2593743792123426,"score_spread":0.23957328448356155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W34636589","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.57359314,0.016525485,0.16497822,0.0016593774,0.0011864407,0.009373219,0.0008237391,0.0024810513,0.2293793],"genre_scores_gemma":[0.8842234,0.0012172392,0.03936394,0.00023953035,0.00041377492,0.00019612384,0.00009707289,0.0004751285,0.073773764],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971429,0.00028488593,0.00058180565,0.00072754844,0.00047635564,0.0007865053],"domain_scores_gemma":[0.99848247,0.000063355656,0.0004856207,0.000606432,0.000016720096,0.00034541334],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008237838,0.00047429223,0.00056825095,0.0006682045,0.00027148632,0.00014208494,0.00047456936,0.0008949092,0.00065276877],"category_scores_gemma":[0.00016957417,0.0005167226,0.00012760895,0.00039847684,0.00040322985,0.00040261165,0.000071114744,0.0005558292,0.000018739885],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048710597,0.00034904055,0.98051196,0.00013377274,0.000079952835,0.00010929687,0.0030695603,0.00008626909,0.0003459434,0.0031657738,0.0065620164,0.0055377283],"study_design_scores_gemma":[0.0044420543,0.0003393435,0.8049408,0.0022220328,0.000802619,0.000022593591,0.0025926454,0.017051172,0.0017189854,0.018262975,0.141674,0.0059307395],"about_ca_topic_score_codex":0.34018058,"about_ca_topic_score_gemma":0.15622263,"teacher_disagreement_score":0.31063026,"about_ca_system_score_codex":0.0006861358,"about_ca_system_score_gemma":0.00036786287,"threshold_uncertainty_score":0.99972844},"labels":[],"label_agreement":null},{"id":"W37866380","doi":"10.1098/rsta.2022.0181","title":"Choosing Transit: The Influence of Past Travel Behavior, Attitudes and Habits on Present Choices","year":2011,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"HORIZON EUROPE Climate, Energy and Mobility; Biological and Physical Sciences Division; Division of Ocean Sciences; Climate Program Office; National Centre for Earth Observation; Natural Environment Research Council; Agence Nationale de la Recherche","keywords":"TRIPS architecture; Mode choice; Transit (satellite); Travel behavior; Mode (computer interface); Public transport; Psychology; Transport engineering; Social psychology; Engineering; Computer science","score_opus":0.04732215353059907,"score_gpt":0.309896620761392,"score_spread":0.2625744672307929,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W37866380","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9805122,0.00008177887,0.000022110797,0.00020559381,0.00003652524,0.00024305424,0.0000037185205,0.000021677211,0.018873334],"genre_scores_gemma":[0.9994533,0.000025037334,0.00008065377,0.000063956155,0.000049131235,0.000011116677,4.2510396e-7,0.0000036955262,0.0003126761],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99921244,0.000050443377,0.00016427587,0.00016950685,0.00024160065,0.00016170491],"domain_scores_gemma":[0.9996359,0.000059365648,0.00005229424,0.00014045926,0.000049172566,0.000062828796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030298068,0.00007567913,0.000108055916,0.000021927563,0.00026437794,0.000026282763,0.00023234273,0.00004954243,0.00015598277],"category_scores_gemma":[0.0000101576525,0.000047131252,0.00004021635,0.00011208114,0.00052879495,0.00025937337,0.0000086709415,0.00008241735,0.0000019572908],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000123512245,0.00013685467,0.9848487,0.00001411152,0.0000059115473,8.1982597e-7,0.0113385515,0.0000020318334,0.0004912595,0.0013989117,0.000008490264,0.0017420118],"study_design_scores_gemma":[0.00009840269,0.00003182758,0.99682045,0.00002194491,0.00002152323,6.420829e-8,0.0005873731,9.850637e-7,0.0020133583,0.00017267626,0.00016704618,0.00006437754],"about_ca_topic_score_codex":0.010213029,"about_ca_topic_score_gemma":0.008109696,"teacher_disagreement_score":0.0189411,"about_ca_system_score_codex":0.000008085952,"about_ca_system_score_gemma":0.000030608586,"threshold_uncertainty_score":0.99637806},"labels":[],"label_agreement":null},{"id":"W39962312","doi":"10.1007/3-540-27761-7_6","title":"Responding to the Complex Transport Needs of Dispersed Wealthy Cities: a Comparison of Melbourne, Australia and Toronto, Canada","year":2006,"lang":"en","type":"book-chapter","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geography; Economic geography; Regional science","score_opus":0.06054250137405673,"score_gpt":0.33007669244155763,"score_spread":0.2695341910675009,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W39962312","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17740747,0.00051069824,0.00014463864,0.0010574083,0.00032892847,0.0008886425,0.0005194523,0.000029573828,0.8191132],"genre_scores_gemma":[0.70186394,0.00001387248,0.00007034594,0.00006336067,0.00009380937,0.0000028665931,0.00003574283,0.000012650319,0.2978434],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978932,0.000041117783,0.00079925417,0.00022969248,0.00071669347,0.00032003925],"domain_scores_gemma":[0.99892527,0.00013261619,0.00034705774,0.00028127397,0.00013714627,0.0001766628],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005108702,0.00025097802,0.00073267816,0.00011898223,0.00026503153,0.000018510882,0.00044148654,0.00020056848,0.003194375],"category_scores_gemma":[0.0000075406033,0.00018989941,0.00013478135,0.00013191286,0.00049501477,0.00010601129,0.000015754178,0.00018263659,6.6206945e-7],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004051204,0.000087676846,0.35900837,0.0006960964,0.00025807403,0.0000078629855,0.06682164,0.00003889497,0.00010729609,0.4889392,0.082245916,0.0013838736],"study_design_scores_gemma":[0.00043326808,0.00013516763,0.16234419,0.00030076632,0.0002469714,1.9539455e-7,0.02810637,0.00001085874,0.000060114988,0.0010869858,0.8066654,0.0006097105],"about_ca_topic_score_codex":0.9759564,"about_ca_topic_score_gemma":0.99838907,"teacher_disagreement_score":0.7244195,"about_ca_system_score_codex":0.000284515,"about_ca_system_score_gemma":0.0007752843,"threshold_uncertainty_score":0.99771684},"labels":[],"label_agreement":null},{"id":"W4200072668","doi":"10.1016/j.healthplace.2021.102730","title":"What triggers selective daily mobility among older adults? A study comparing trip and environmental characteristics between observed path and shortest path","year":2021,"lang":"en","type":"article","venue":"Health & Place","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"Canadian Institutes of Health Research; Fonds de recherche du Québec; Fonds National de la Recherche Luxembourg","keywords":"TRIPS architecture; Geography; Poison control; Travel behavior; Transport engineering; Demography; Environmental health; Psychology; Medicine; Engineering","score_opus":0.03463533000646537,"score_gpt":0.29510317411653375,"score_spread":0.2604678441100684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200072668","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970663,0.0011516911,0.000019824274,0.00023877947,0.0001623128,0.0011896212,0.00007474535,0.000052488438,0.000044209402],"genre_scores_gemma":[0.99888414,0.0005783169,0.00004687341,0.00011704634,0.00011837806,0.000036470028,0.000107384345,0.000013394254,0.000098018056],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99748266,0.0005194342,0.00048796146,0.00067143753,0.000365947,0.00047254586],"domain_scores_gemma":[0.99883443,0.00028954863,0.00020676988,0.00022390307,0.000038886974,0.00040646928],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013161264,0.00019727975,0.00052976597,0.000027473197,0.00075847947,0.00021486559,0.00011844673,0.000101318394,0.000034400466],"category_scores_gemma":[0.00007083546,0.00020049151,0.000044007134,0.00020520156,0.0002846071,0.0006628663,0.000055767698,0.0003213439,0.0000011447894],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057533973,0.00045470454,0.957375,0.00006845532,0.000021721517,0.000014220631,0.037776407,2.4654528e-7,0.0000027915455,0.0000028141112,0.00002083663,0.0042053],"study_design_scores_gemma":[0.0010319621,0.00013093757,0.93884087,0.000114148614,0.000036670524,3.5586876e-7,0.059408844,0.000111160894,0.0000070416218,0.000010768333,0.00013032672,0.00017690142],"about_ca_topic_score_codex":0.0037886745,"about_ca_topic_score_gemma":0.010425895,"teacher_disagreement_score":0.021632437,"about_ca_system_score_codex":0.00027621808,"about_ca_system_score_gemma":0.00034393664,"threshold_uncertainty_score":0.8175807},"labels":[],"label_agreement":null},{"id":"W4200092449","doi":"10.15353/cjds.v10i3.822","title":"Formation, utilisation et expérience du transport en commun régulier à Montréal par des personnes ayant des limitations fonctionnelles motrices","year":2021,"lang":"fr","type":"article","venue":"Canadian Journal of Disability Studies","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"McGill University; Société de Transport de Montréal; Université Laval; Université de Montréal; Centre for Interdisciplinary Research in Rehabilitation","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.07817068134353491,"score_gpt":0.29681586169925644,"score_spread":0.21864518035572153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200092449","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9098952,0.0631558,0.00076318183,0.023836227,0.0012447317,0.00017566596,0.00010229642,0.0000139348185,0.0008129581],"genre_scores_gemma":[0.9875255,0.010469048,0.0011890649,0.00021736612,0.00040056682,0.000012888353,0.000014867418,0.000013682174,0.00015698826],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969717,0.00078770256,0.0010107767,0.0002757145,0.00041888322,0.00053520076],"domain_scores_gemma":[0.9954889,0.0015151406,0.00039264193,0.00024652184,0.0018043538,0.0005524475],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0017911477,0.00026968156,0.0005295352,0.00009325097,0.0025744198,0.00013843978,0.00035989902,0.00014458252,0.00025914365],"category_scores_gemma":[0.003134153,0.00025522974,0.00037064453,0.00089329574,0.005005287,0.0028201917,0.000016275595,0.00035452624,0.000008064793],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017435987,0.00018957297,0.62470126,0.00020923895,0.00016187242,0.000034510922,0.36628097,0.00019719236,0.000009109392,0.0011225863,0.0004917999,0.0065844357],"study_design_scores_gemma":[0.00030005065,0.000097891934,0.5869369,0.00023642392,0.0002371301,0.000017655628,0.3947427,0.000032570675,0.00009380524,0.010842516,0.006276757,0.00018560783],"about_ca_topic_score_codex":0.083656795,"about_ca_topic_score_gemma":0.9497969,"teacher_disagreement_score":0.8661401,"about_ca_system_score_codex":0.0012306994,"about_ca_system_score_gemma":0.0013995455,"threshold_uncertainty_score":0.99999},"labels":[],"label_agreement":null},{"id":"W4200100209","doi":"10.3390/ijerph182412984","title":"Moving around a Large City in Latin America: The Mobility Challenges Faced by Older Adults with Disabilities","year":2021,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Latin Americans; Affect (linguistics); Sample (material); Built environment; Gerontology; Logistic regression; Environmental health; Geography; Limiting; Psychology; Socioeconomics; Medicine; Sociology; Political science","score_opus":0.07505176666841139,"score_gpt":0.38191228799248955,"score_spread":0.30686052132407815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200100209","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95534766,0.0035826687,0.000059774946,0.04015968,0.00005560927,0.00015912874,0.00007135867,0.0000029088012,0.0005612157],"genre_scores_gemma":[0.99412847,0.0053081773,0.00004362191,0.00021604665,0.00010864588,0.000007866298,0.000011699403,0.0000043230784,0.00017116703],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971917,0.0006348462,0.00032868868,0.00019493181,0.0012440172,0.0004057762],"domain_scores_gemma":[0.99882936,0.0005685657,0.00012998546,0.000104619474,0.00010884594,0.0002586243],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033272037,0.0000702405,0.00014908185,0.00006707337,0.000292285,0.00014460932,0.00032450224,0.000037575264,0.00044857158],"category_scores_gemma":[0.00043196627,0.000047594778,0.000036416193,0.00013503178,0.0007306467,0.00047834995,0.00007772905,0.00046328563,0.0000012316274],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012071054,0.0017541008,0.9229463,0.000022014834,0.000036646274,0.000017612929,0.031221934,7.046183e-7,0.000015456279,0.0004433768,0.00013529867,0.043285888],"study_design_scores_gemma":[0.00066181505,0.00014304151,0.80333537,0.000060127237,7.40926e-7,0.0000030544886,0.18322247,0.000015012503,0.000009547424,0.0007674041,0.01172759,0.000053836568],"about_ca_topic_score_codex":0.001709587,"about_ca_topic_score_gemma":0.00833807,"teacher_disagreement_score":0.15200055,"about_ca_system_score_codex":0.0004849519,"about_ca_system_score_gemma":0.00052970694,"threshold_uncertainty_score":0.49115443},"labels":[],"label_agreement":null},{"id":"W4200111764","doi":"10.1186/s41118-021-00148-0","title":"Impacts of family household dynamics on residential energy demands in Hebei Province of China","year":2021,"lang":"en","type":"article","venue":"Genus","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Population and Public Health","funders":"Key Technologies Research and Development Program; National Natural Science Foundation of China","keywords":"Residence; China; Energy (signal processing); Population; Population ageing; Business; Geography; Projections of population growth; Sustainable development; Economic growth; Socioeconomics; Demographic economics; Population growth; Economics; Demography; Political science; Sociology","score_opus":0.017371755631442647,"score_gpt":0.26983536143497333,"score_spread":0.25246360580353067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200111764","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9926699,0.00035684512,0.00008965622,0.00011720678,0.00014553503,0.00005330955,0.000036882568,0.000013441177,0.0065172347],"genre_scores_gemma":[0.99934876,0.00007797494,0.000053747248,0.000035782352,0.00005897343,0.000001589573,0.000011626929,0.0000061436926,0.00040541735],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990296,0.00007704355,0.0002494692,0.00017106356,0.00028588835,0.00018698604],"domain_scores_gemma":[0.9995823,0.00003052506,0.00010610193,0.00018803868,0.00004107585,0.000051950214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026119465,0.00006555729,0.00017333789,0.000051349478,0.000054425076,0.000013018693,0.0001729026,0.000081007245,0.000023741008],"category_scores_gemma":[0.000059142087,0.00006477404,0.00006578375,0.00029923543,0.0001244756,0.000103098966,0.000020601226,0.000072446666,4.8059337e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012268774,0.00038376797,0.9765151,0.000096493146,0.000021446709,0.000117161064,0.003160298,0.00014780989,0.00294376,0.008441981,0.00029216663,0.0077573345],"study_design_scores_gemma":[0.00026889346,0.000041148804,0.9911573,0.000049271403,0.000010847729,1.2894455e-7,0.00044866675,0.000034943987,0.006163295,0.0014436473,0.00029826225,0.00008357902],"about_ca_topic_score_codex":0.027921302,"about_ca_topic_score_gemma":0.19938457,"teacher_disagreement_score":0.17146327,"about_ca_system_score_codex":0.000070483955,"about_ca_system_score_gemma":0.00043950896,"threshold_uncertainty_score":0.97855186},"labels":[],"label_agreement":null},{"id":"W4200176860","doi":"10.31219/osf.io/39ke6","title":"Association between network characteristics and bicycle ridership across a large metropolitan region","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"National Health and Medical Research Council; Medical Research Council; UK Research and Innovation","keywords":"Metropolitan area; TRIPS architecture; Transport engineering; Geography; Association (psychology); Survey data collection; Engineering; Statistics; Psychology; Mathematics","score_opus":0.04866795868094245,"score_gpt":0.3386993602491521,"score_spread":0.2900314015682096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200176860","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9874381,0.00035803227,0.001448921,0.0020581926,0.00074277655,0.00029769767,0.00009042795,0.00015162077,0.007414235],"genre_scores_gemma":[0.9913028,0.00017233408,0.00019808082,0.00014124138,0.0024565128,0.00001323909,0.00034007095,0.000017903263,0.005357845],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973302,0.00034859916,0.00042413644,0.00056039135,0.0005030157,0.00083369116],"domain_scores_gemma":[0.99857813,0.00026006688,0.00042044296,0.00031046465,0.00023015004,0.00020074517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002288913,0.00020934176,0.000503069,0.000028407389,0.0008247911,0.00061229325,0.00028224534,0.00069250754,0.00020217663],"category_scores_gemma":[0.0003830961,0.00021637778,0.00016405557,0.00025423095,0.00012878692,0.00022482176,0.00027576246,0.000612785,0.0000045804636],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000038069174,0.000028644365,0.9940646,0.000053533506,0.000104502746,0.000004300609,0.0035863128,1.5424719e-7,6.047233e-7,0.0006166098,0.00089916855,0.00063770445],"study_design_scores_gemma":[0.00012614297,0.0000086062855,0.9860298,0.00007163853,0.00012693398,1.8761826e-8,0.005298155,0.000007545049,0.000008830458,0.004070978,0.00398818,0.00026319016],"about_ca_topic_score_codex":0.008925152,"about_ca_topic_score_gemma":0.030494384,"teacher_disagreement_score":0.021569233,"about_ca_system_score_codex":0.00074919907,"about_ca_system_score_gemma":0.00022977452,"threshold_uncertainty_score":0.9976745},"labels":[],"label_agreement":null},{"id":"W4200211542","doi":"10.1016/j.trip.2021.100522","title":"Integrating COVID-19 health risks into crowding costs for transit schedule planning","year":2021,"lang":"en","type":"article","venue":"Transportation Research Interdisciplinary Perspectives","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Public transport; Pandemic; Crowding; Context (archaeology); Headway; Transport engineering; Transit (satellite); Computer science; Coronavirus disease 2019 (COVID-19); Business; Operations research; Engineering; Geography; Medicine; Infectious disease (medical specialty)","score_opus":0.22742629291121583,"score_gpt":0.5632177025920551,"score_spread":0.3357914096808392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200211542","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84859294,0.0029313476,0.095170744,0.04627924,0.00027314655,0.0014308749,0.00018507148,0.00029032398,0.0048462823],"genre_scores_gemma":[0.9918467,0.00009185997,0.006462266,0.00016186119,0.00030612244,0.00021395899,0.00024850114,0.000034906247,0.0006338139],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99591845,0.00073240075,0.0006123503,0.00092820736,0.0009081878,0.00090042426],"domain_scores_gemma":[0.99698526,0.0008915327,0.0001449641,0.0002976821,0.0009754086,0.00070515485],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0039981315,0.00022685864,0.00039658268,0.00033901812,0.0043280614,0.00027335243,0.00045183653,0.00016045364,0.0005802032],"category_scores_gemma":[0.0005960624,0.00023503602,0.00027739248,0.0011293829,0.000923181,0.0008632848,0.000028124941,0.0007380162,0.000008000643],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00054703106,0.00049364805,0.08959495,0.00046807955,0.000111163354,0.000105684994,0.850717,0.00037149826,0.0011477115,0.051245574,0.0016371132,0.0035605584],"study_design_scores_gemma":[0.0010387992,0.00027265755,0.090464085,0.0002929468,0.000021828882,6.7093697e-7,0.8805007,0.00025757684,0.00056736683,0.022914382,0.0033303588,0.0003386417],"about_ca_topic_score_codex":0.0060377684,"about_ca_topic_score_gemma":0.06881353,"teacher_disagreement_score":0.14325374,"about_ca_system_score_codex":0.0015710137,"about_ca_system_score_gemma":0.00265767,"threshold_uncertainty_score":0.99696815},"labels":[],"label_agreement":null},{"id":"W4200297269","doi":"10.17645/up.v6i4.4998","title":"The Equity Dimension of Climate Change: Perspectives From the Global North and South","year":2021,"lang":"en","type":"article","venue":"Urban Planning","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Climate change; Disadvantaged; Equity (law); Sustainability; Psychological intervention; Political science; Global warming; Political economy of climate change; Economic growth; Environmental planning; Geography; Development economics; Environmental resource management; Psychology; Economics; Ecology","score_opus":0.04890060196014589,"score_gpt":0.3321466875519523,"score_spread":0.2832460855918064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200297269","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9858486,0.007956805,0.000010479005,0.0008475929,0.00014313518,0.00009545918,0.00009484527,0.000024564368,0.0049785357],"genre_scores_gemma":[0.9994409,0.00014244865,0.00003828876,0.000075176744,0.00025158306,0.0000029864193,0.000010247188,0.000002834401,0.000035508896],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991339,0.000107630905,0.00012075035,0.00018793029,0.00023232333,0.00021747607],"domain_scores_gemma":[0.99945605,0.00019023503,0.00008151795,0.00015747649,0.000067352135,0.000047355185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029598118,0.000066943554,0.000101338854,0.0000041433227,0.00086336944,0.00008891775,0.00017137371,0.00003719322,0.000020710608],"category_scores_gemma":[0.000102783924,0.000040016872,0.00004146916,0.00017191039,0.00032657254,0.00012035369,0.000099518846,0.000091687645,0.0000014441497],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016122463,0.00001038126,0.924817,0.0000028792658,0.000010831427,0.0000050162334,0.07183468,5.691867e-7,0.000008427565,0.0020212964,0.00009313444,0.0011796074],"study_design_scores_gemma":[0.000090633046,0.0000068681807,0.95692337,0.000030178922,0.000022679149,9.751957e-8,0.040201552,0.000014613141,0.00001537493,0.00087862497,0.0017615944,0.000054439428],"about_ca_topic_score_codex":0.0011917859,"about_ca_topic_score_gemma":0.004314739,"teacher_disagreement_score":0.03210629,"about_ca_system_score_codex":0.00003134394,"about_ca_system_score_gemma":0.000054802043,"threshold_uncertainty_score":0.6640427},"labels":[],"label_agreement":null},{"id":"W4200303973","doi":"10.1155/2021/3061567","title":"Analysing the Impact of Pedestrian Network Centrality on Segment-Level Pedestrian Density","year":2021,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Centrality; Pedestrian; Transport engineering; Computer science; Statistics; Mathematics; Engineering","score_opus":0.03817291097091829,"score_gpt":0.3447044228955217,"score_spread":0.30653151192460343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200303973","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997147,0.00025328182,0.0015287054,0.00037940638,0.00031855764,0.00012227196,0.000028424069,0.000008696496,0.00021361494],"genre_scores_gemma":[0.99841404,0.00022820069,0.00091672427,0.000029628232,0.00033706578,5.8759366e-7,0.000031006715,0.0000073724846,0.000035397305],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980286,0.00021874532,0.00072853436,0.00015753937,0.00057058415,0.00029603875],"domain_scores_gemma":[0.99818116,0.00016982829,0.0008002659,0.0001778188,0.0005212418,0.00014968257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010230048,0.00012627873,0.0003389234,0.00004631302,0.00032882582,0.00004067296,0.00019534641,0.0000751541,0.00011144608],"category_scores_gemma":[0.00009726949,0.00008969087,0.00049462443,0.0006272967,0.00013363913,0.00047652487,0.0000013947667,0.00027155806,5.411365e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048661965,0.00026292072,0.921722,0.00003153974,0.00017832105,0.00006131397,0.008131062,0.060132198,0.0018221684,0.0002477292,0.000048863003,0.0068752714],"study_design_scores_gemma":[0.00065643823,0.000095396426,0.9924306,0.000076176664,0.00018106427,8.0572187e-7,0.0026502714,0.000007783904,0.0013371792,0.0023584892,0.000115258685,0.0000904928],"about_ca_topic_score_codex":0.00095968804,"about_ca_topic_score_gemma":0.009455538,"teacher_disagreement_score":0.070708655,"about_ca_system_score_codex":0.00015848536,"about_ca_system_score_gemma":0.0006702128,"threshold_uncertainty_score":0.52764124},"labels":[],"label_agreement":null},{"id":"W4200400200","doi":"10.31235/osf.io/8w7bg","title":"Developing urban biking typologies: quantifying the complex interactions of bicycle ridership, bicycle network and built environment characteristics","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"National Health and Medical Research Council; Medical Research Council; UK Research and Innovation","keywords":"TRIPS architecture; Typology; Transport engineering; Population; Geography; Cluster analysis; Land use; Cluster (spacecraft); Built environment; Computer science; Engineering; Civil engineering; Environmental health; Machine learning; Medicine","score_opus":0.21005695920261055,"score_gpt":0.3723880483453859,"score_spread":0.16233108914277536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200400200","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98520523,0.00063408,0.0077533713,0.0026381977,0.0008055107,0.00037296044,0.000020610436,0.00007892162,0.0024911398],"genre_scores_gemma":[0.9939346,0.0006601484,0.0045454227,0.00013954041,0.00038963495,0.000021104026,0.00006491017,0.000016035125,0.00022861263],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980061,0.00026054616,0.00057409576,0.00047563485,0.0002999831,0.0003836534],"domain_scores_gemma":[0.99851817,0.00048946164,0.0004211294,0.00043245355,0.000066611996,0.00007214595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008416801,0.00022138699,0.00042421205,0.000053757718,0.0008007731,0.0002571067,0.00049101305,0.00018290986,0.00067635934],"category_scores_gemma":[0.00013942378,0.00017712888,0.00013531344,0.00018491752,0.00066705595,0.0001590793,0.0005174162,0.00051342166,0.00000304633],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011759248,0.000051038656,0.9840499,0.00016514712,0.000112467336,0.0000031294373,0.010016226,0.00011354082,0.0001260108,0.0020169492,0.00020060409,0.003133212],"study_design_scores_gemma":[0.000072731156,0.000007945187,0.96813405,0.0002819475,0.00008243134,2.9050437e-7,0.02220945,0.0003654336,0.00009416225,0.0016581175,0.006787135,0.0003063037],"about_ca_topic_score_codex":0.008189812,"about_ca_topic_score_gemma":0.010204844,"teacher_disagreement_score":0.015915863,"about_ca_system_score_codex":0.00014348875,"about_ca_system_score_gemma":0.00025875625,"threshold_uncertainty_score":0.99841475},"labels":[],"label_agreement":null},{"id":"W4200401963","doi":"10.33423/jabe.v23i5.4577","title":"The Impact of Decentralization of Fire Protection on Fire Deaths in the US: A Cross-State Analysis","year":2021,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Decentralization; Fire protection; Service (business); Population; Unit (ring theory); Regression analysis; State (computer science); Business; Geography; Engineering; Environmental health; Mathematics; Statistics; Political science; Medicine; Law; Civil engineering","score_opus":0.0176300546255604,"score_gpt":0.2871104532501601,"score_spread":0.2694803986245997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200401963","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99920547,0.000104799874,0.00010335715,0.00020382389,0.000036199635,0.000088343,0.0000067105816,8.849038e-7,0.00025041433],"genre_scores_gemma":[0.99878645,0.0011337132,0.000015724429,0.000011564683,0.000039835344,0.0000015733438,0.0000021821756,0.0000023425491,0.0000065900795],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993644,0.000026389564,0.0003747487,0.00006874387,0.00007513432,0.00009059728],"domain_scores_gemma":[0.999235,0.000054756933,0.00044321333,0.000082737286,0.00016315198,0.000021182766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066840526,0.00005193172,0.00018834199,0.00003732919,0.00015268584,0.00008985282,0.000113746835,0.0000390379,0.000015156819],"category_scores_gemma":[0.000029491135,0.000029945631,0.00010554591,0.000477273,0.00011020429,0.00014590788,0.00000599036,0.00007151091,8.569518e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004614333,0.00019497787,0.87650865,0.000033053628,0.00022637997,0.0000023112393,0.004996388,0.09377899,0.0000995456,0.00068939547,0.000009022118,0.022999864],"study_design_scores_gemma":[0.00023658421,0.000017018941,0.995169,0.000011471142,0.000053207612,4.166952e-7,0.0006744379,0.0014784705,0.00016994392,0.0020300627,0.00012248282,0.00003691334],"about_ca_topic_score_codex":0.0010742515,"about_ca_topic_score_gemma":0.0029250118,"teacher_disagreement_score":0.11866035,"about_ca_system_score_codex":0.000055347526,"about_ca_system_score_gemma":0.00018570124,"threshold_uncertainty_score":0.16322254},"labels":[],"label_agreement":null},{"id":"W4200461915","doi":"10.1007/s10479-021-04480-8","title":"Residential choice from a multiple criteria sustainable perspective","year":2021,"lang":"en","type":"article","venue":"Annals of Operations Research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"Universidad de Oviedo; Ministerio de Ciencia, Innovación y Universidades","keywords":"TOPSIS; Ranking (information retrieval); Multiple-criteria decision analysis; Neighbourhood (mathematics); Computer science; Operations research; Sustainability; Ideal solution; Theory of computation; Management science; Environmental economics; Mathematics; Economics; Artificial intelligence","score_opus":0.22937354757841852,"score_gpt":0.5296157549876085,"score_spread":0.30024220740918994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200461915","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9619914,0.0008991683,0.000091252055,0.013684672,0.00006340084,0.0002485774,0.000054514614,0.00001962828,0.022947377],"genre_scores_gemma":[0.98427576,0.00014201111,0.00031044267,0.00006849079,0.00032581927,0.00002824077,0.000038205126,0.0000065053887,0.014804519],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977328,0.00066113035,0.00020157546,0.00030228175,0.00067594013,0.00042623826],"domain_scores_gemma":[0.9941107,0.00040529482,0.000013687799,0.00029289298,0.0050573116,0.00012013299],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014870248,0.000058864527,0.00013401714,0.00011477443,0.0011930416,0.00032786207,0.00030128667,0.0000757477,0.003383501],"category_scores_gemma":[0.0046417997,0.000059153324,0.00007391322,0.00085482176,0.0004379721,0.0007044998,0.00008226531,0.00021764106,0.000030167253],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003283264,0.0028160177,0.44558865,0.00012869654,0.00035163053,0.0004086867,0.20641324,0.00031477393,0.040894542,0.23076352,0.070571445,0.0014204534],"study_design_scores_gemma":[0.00079535996,0.00011168415,0.5856412,0.00006578662,0.000019266932,2.176118e-7,0.20616128,0.0005974395,0.07566364,0.030811328,0.09978304,0.00034977327],"about_ca_topic_score_codex":0.2556314,"about_ca_topic_score_gemma":0.16342899,"teacher_disagreement_score":0.1999522,"about_ca_system_score_codex":0.000060352017,"about_ca_system_score_gemma":0.0013374953,"threshold_uncertainty_score":0.99752754},"labels":[],"label_agreement":null},{"id":"W4200465702","doi":"10.33423/jabe.v23i5.4575","title":"When a Nudge Is Not a Nudge: Why GCQ Visual Cues in Metro Manila’s Main Train Systems Fail","year":2021,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Nudge theory; Work (physics); Government (linguistics); Process (computing); Unit (ring theory); Computer science; Psychology; Engineering; Social psychology","score_opus":0.023067997004834348,"score_gpt":0.25730360736283997,"score_spread":0.2342356103580056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200465702","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99195135,0.00038150838,0.0002528378,0.004042376,0.00039059998,0.00012541759,0.000020856962,0.0000080915315,0.0028269414],"genre_scores_gemma":[0.9972511,0.0004923079,0.0003178369,0.0013788485,0.00040021096,0.000004991435,0.0000042111615,0.000014625925,0.00013587449],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99859303,0.000037630332,0.0006892475,0.00024093536,0.0001470178,0.0002921368],"domain_scores_gemma":[0.99917287,0.00006836661,0.00037423565,0.000108235276,0.00013870871,0.00013757269],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010555951,0.00015122954,0.00051882555,0.00013210122,0.00016477714,0.00035169034,0.00020829076,0.00014517676,0.00015667251],"category_scores_gemma":[0.000022004782,0.00014306339,0.00009201349,0.00023015984,0.0001250992,0.0004975518,0.000029735276,0.00020237261,0.0000037126601],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003436641,0.0024617487,0.698217,0.0016381015,0.00093950564,0.0008828456,0.120783456,0.0015437735,0.005068985,0.08487132,0.025206784,0.05494986],"study_design_scores_gemma":[0.009570904,0.0001486173,0.5053935,0.00024484817,0.00038991476,0.000044156383,0.14136314,0.0018050356,0.0023598887,0.03863079,0.29806995,0.0019792235],"about_ca_topic_score_codex":0.0008930369,"about_ca_topic_score_gemma":0.008404069,"teacher_disagreement_score":0.27286318,"about_ca_system_score_codex":0.00018139998,"about_ca_system_score_gemma":0.00041934737,"threshold_uncertainty_score":0.58339554},"labels":[],"label_agreement":null},{"id":"W4200466951","doi":"10.1111/cag.12736","title":"A scoping review of the daily mobilities of older adults in the Global South","year":2021,"lang":"en","type":"review","venue":"Canadian Geographies / Géographies canadiennes","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mobilities; Public transport; Inequality; Global South; Focus group; Qualitative research; Gerontology; Sociology; Geography; Political science; Medicine; Economic geography; Social science","score_opus":0.01989821600291427,"score_gpt":0.28109273562884945,"score_spread":0.2611945196259352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200466951","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0051183715,0.9871827,1.0138413e-7,0.0003047683,0.0006202269,0.0033784928,0.0011137227,0.000018703804,0.002262914],"genre_scores_gemma":[0.009288312,0.98977816,0.00000955493,0.0003167063,0.00010392249,0.0003384789,0.00009888979,0.000028568878,0.0000374099],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9947365,0.0011112156,0.0015736703,0.000715251,0.0007061081,0.0011572355],"domain_scores_gemma":[0.99648803,0.00043467394,0.00088254357,0.0013515376,0.00041248277,0.00043069856],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0016241423,0.0005866477,0.0023078457,0.0011288126,0.000634389,0.00008294147,0.0024450372,0.00041249118,0.00016088762],"category_scores_gemma":[0.00058582856,0.00038979886,0.0019832868,0.014671275,0.004666148,0.00018917135,0.00007175438,0.00048816236,6.617143e-7],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006931931,0.00012525116,0.21095109,0.52790475,0.0005150298,0.000088415436,0.029565232,3.659503e-7,3.0044627e-9,0.010200402,0.0021228478,0.21851969],"study_design_scores_gemma":[0.00016196514,0.000026247531,0.0139710745,0.72226536,0.0008213714,0.0000060587217,0.037782636,3.6039797e-8,5.1738628e-8,0.00023510524,0.22409905,0.0006310454],"about_ca_topic_score_codex":0.8184827,"about_ca_topic_score_gemma":0.998329,"teacher_disagreement_score":0.22197622,"about_ca_system_score_codex":0.00019957926,"about_ca_system_score_gemma":0.0045918683,"threshold_uncertainty_score":0.9998554},"labels":[],"label_agreement":null},{"id":"W4200546391","doi":"10.1007/s11892-021-01419-y","title":"Neighbourhood Walkability and Risk of Diabetes: Causal Relationship or Epidemiologic Association?","year":2021,"lang":"en","type":"review","venue":"Current Diabetes Reports","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sinai Health System; Lunenfeld-Tanenbaum Research Institute; Mount Sinai Hospital","funders":"","keywords":"Walkability; Medicine; Neighbourhood (mathematics); Environmental health; Diabetes mellitus; Gerontology; Association (psychology); Physical activity; Endocrinology; Physical therapy","score_opus":0.09602134357217354,"score_gpt":0.39651159056750135,"score_spread":0.3004902469953278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200546391","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08403911,0.91256213,0.0000025241081,0.000031920412,0.001497171,0.00096182927,0.00020557157,0.00009205034,0.0006076781],"genre_scores_gemma":[0.02358455,0.9750085,0.00007336296,0.000006340392,0.00042015425,0.00016076368,0.00035234637,0.000030730946,0.0003632639],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99314076,0.0020008897,0.002349877,0.0010750784,0.00067084364,0.00076254463],"domain_scores_gemma":[0.98828906,0.0063622743,0.0039599543,0.00066798186,0.0004206394,0.00030006445],"candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.008470383,0.0004868407,0.0029024412,0.0001451479,0.0005102497,0.000109687164,0.00027982166,0.0007466084,0.000492192],"category_scores_gemma":[0.025371088,0.00036714526,0.0008502346,0.00091945165,0.0004131701,0.00032367648,0.00011342008,0.0009854096,0.000005004221],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[2.9351403e-7,0.00012346198,0.7728493,0.0040194127,0.00016435978,0.000003578548,0.0001282729,1.4039068e-7,1.4608258e-8,0.00006582963,0.0003685793,0.22227672],"study_design_scores_gemma":[0.00007955134,0.000030295228,0.3986057,0.0051283427,0.002618275,2.7867603e-7,0.00005229726,0.0000015471664,5.5010366e-7,0.0035843726,0.58935666,0.00054214284],"about_ca_topic_score_codex":0.00014499793,"about_ca_topic_score_gemma":0.0003776824,"teacher_disagreement_score":0.58898807,"about_ca_system_score_codex":0.00051631196,"about_ca_system_score_gemma":0.0012180953,"threshold_uncertainty_score":0.99987805},"labels":[],"label_agreement":null},{"id":"W4200588815","doi":"10.31219/osf.io/anjd7","title":"The new BRT system has led to an overall increase in transit-based accessibility to essential services during the COVID-19 pandemic: Empirical evidence from Winnipeg, Canada","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Saskatchewan; Western University","funders":"","keywords":"Bus rapid transit; Business; Service (business); Public transport; Pandemic; Coronavirus disease 2019 (COVID-19); Transport engineering; Work (physics); Geography; Engineering; Marketing; Medicine","score_opus":0.08139926262318513,"score_gpt":0.3606816287906094,"score_spread":0.27928236616742425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200588815","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9671058,0.0005534044,0.0023480414,0.026661757,0.0008570491,0.0020079233,0.00014250263,0.00021639085,0.000107137166],"genre_scores_gemma":[0.9934103,0.000018266075,0.00023553472,0.0051413737,0.00066954887,0.00014265535,0.00008066011,0.000027625967,0.00027402953],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99250865,0.001983616,0.0011613282,0.0018252191,0.0016445351,0.000876656],"domain_scores_gemma":[0.9944762,0.0015847485,0.00028125365,0.0017876821,0.00025269316,0.0016174285],"candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0031744277,0.0005460513,0.00080817373,0.00007968912,0.0017557058,0.0019822472,0.0035272555,0.00044251984,0.00046585058],"category_scores_gemma":[0.00058863685,0.000361529,0.0002589312,0.0007550668,0.00023491756,0.00055810856,0.00048673683,0.000966532,0.0000034030245],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005985293,0.0000830601,0.9770835,0.00046425956,0.000046966372,0.000086507935,0.01674191,0.0041216644,0.00022758885,0.0000078536505,0.00036648728,0.00017166643],"study_design_scores_gemma":[0.00063537643,0.000016214284,0.98433185,0.000622486,0.000110408306,4.6482074e-7,0.009951106,0.0008765892,0.00023348398,0.0001580531,0.0023875367,0.0006764071],"about_ca_topic_score_codex":0.9971689,"about_ca_topic_score_gemma":0.99973446,"teacher_disagreement_score":0.026304513,"about_ca_system_score_codex":0.0028972665,"about_ca_system_score_gemma":0.023196684,"threshold_uncertainty_score":0.99988365},"labels":[],"label_agreement":null},{"id":"W4205168219","doi":"10.1016/j.jth.2021.101316","title":"Adolescents’ perceptions of walking and cycling to school differ based on how far they live from school","year":2022,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Cycling; Perception; Psychology; Geography","score_opus":0.022096048477840597,"score_gpt":0.30657944555025823,"score_spread":0.28448339707241765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205168219","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9904037,0.00028906768,0.0010643832,0.0073834113,0.0003132738,0.00031321513,0.00013649452,0.000016705739,0.0000797312],"genre_scores_gemma":[0.9968932,0.0001639633,0.0008671668,0.0016953868,0.00030252294,0.0000049956498,0.00001066994,0.000015152376,0.000046915473],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99766624,0.0002770646,0.0006204329,0.00023159842,0.00087907613,0.00032555914],"domain_scores_gemma":[0.99855214,0.00007465457,0.00043952515,0.00017214204,0.00012051938,0.00064100674],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015305015,0.00013685353,0.00043768634,0.00019430586,0.0007580763,0.000031932523,0.0003372651,0.00005484825,0.0008719767],"category_scores_gemma":[0.000055861197,0.000123161,0.00020666463,0.00021892937,0.000072022915,0.00023313808,0.000009101946,0.0006869304,0.000002003304],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002359232,0.00028184126,0.9869308,0.000050630155,0.000017065042,0.0000126808,0.009776876,0.0002780672,0.00030904618,0.000010773302,0.00011245671,0.0019838337],"study_design_scores_gemma":[0.000622363,0.00030943815,0.98936164,0.00026407352,0.000040962525,4.7837665e-7,0.008065153,0.000029189005,0.00000857035,0.00017013957,0.0010147146,0.00011324787],"about_ca_topic_score_codex":0.0051691104,"about_ca_topic_score_gemma":0.006348057,"teacher_disagreement_score":0.0064895093,"about_ca_system_score_codex":0.0003275991,"about_ca_system_score_gemma":0.00090309547,"threshold_uncertainty_score":0.95475334},"labels":[],"label_agreement":null},{"id":"W4205411559","doi":"10.31219/osf.io/xrk2p","title":"Facing the future of transit ridership: which riders bought a car; who is planning on riding less?","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Attractiveness; Pandemic; Public transport; Context (archaeology); Coronavirus disease 2019 (COVID-19); Transit (satellite); Business; Immigration; Advertising; Demographic economics; Political science; Geography; Economics; Psychology; Engineering; Transport engineering; Medicine","score_opus":0.05818874193954837,"score_gpt":0.32842099018410287,"score_spread":0.2702322482445545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205411559","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8803823,0.0019766903,0.00049427047,0.0151737295,0.0017444473,0.00084150245,0.00014329841,0.00017567836,0.099068075],"genre_scores_gemma":[0.99467707,0.00016500904,0.00006163364,0.00066819147,0.0007463451,0.000043246095,0.000040309595,0.000029181876,0.0035689985],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9965794,0.0003758385,0.00056127383,0.0007912686,0.001141985,0.00055022974],"domain_scores_gemma":[0.99840206,0.0002779875,0.0003567711,0.00066104287,0.00017902417,0.00012313575],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001784828,0.00035740895,0.000588778,0.0001333898,0.0013994322,0.00020655166,0.001241205,0.00038907435,0.0023851502],"category_scores_gemma":[0.000058203383,0.00027325348,0.00040891508,0.00057564874,0.0002676601,0.00019694744,0.00015743279,0.0016851558,0.0000033122283],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017960636,0.00018895567,0.32717475,0.000878382,0.00048726914,0.00002629243,0.6254073,0.012543874,0.00006197234,0.0060857646,0.022145227,0.0048205913],"study_design_scores_gemma":[0.0009963207,0.00013933281,0.09320064,0.0011768881,0.00058669894,4.914452e-7,0.7429987,0.00060735544,0.0019219219,0.012443757,0.14390017,0.0020277242],"about_ca_topic_score_codex":0.013538244,"about_ca_topic_score_gemma":0.018898712,"teacher_disagreement_score":0.23397413,"about_ca_system_score_codex":0.0002147638,"about_ca_system_score_gemma":0.00061054114,"threshold_uncertainty_score":0.999972},"labels":[],"label_agreement":null},{"id":"W4205510848","doi":"10.1787/24142026","title":"West African Papers","year":2016,"lang":"en","type":"paratext","venue":"˜The œWest African papers","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Deutsche Gesellschaft für Internationale Zusammenarbeit; Agencia Española de Cooperación Internacional para el Desarrollo; University of Ghana; FP7 International Cooperation; Eidgenössisches Departement für Auswärtige Angelegenheiten; Ministère de l'Europe et des Affaires Étrangères; Agence Française de Développement; Global Affairs Canada; European Commission; Austrian Development Agency; United States Agency for International Development","keywords":"Multidisciplinary approach; Club; Work (physics); Perspective (graphical); Politics; Political science; Public relations; Library science; Engineering; Computer science; Medicine","score_opus":0.017072294031620895,"score_gpt":0.27193824582696174,"score_spread":0.25486595179534083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205510848","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0034777892,0.0012894016,0.0000062518784,0.0044825817,0.003627564,0.0009067909,0.0005314133,0.00021243731,0.98546576],"genre_scores_gemma":[0.6306902,0.0005887835,0.000014810835,0.00049929443,0.001944586,0.00011175177,0.000084390944,0.0000805393,0.3659856],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99432945,0.0005793788,0.0007771381,0.0012845945,0.0014111631,0.0016182745],"domain_scores_gemma":[0.9966428,0.0006100261,0.00062606717,0.0012956241,0.00017225853,0.000653169],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["sts","insufficient_payload"],"category_scores_codex":[0.0011222136,0.0008076697,0.0009313648,0.00018357331,0.0018326719,0.0003567509,0.0026704832,0.0007351288,0.044256866],"category_scores_gemma":[0.000079036596,0.00052765006,0.0006648235,0.0010484731,0.0030536202,0.0002543687,0.00013494793,0.0009224713,0.010083825],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046115668,0.0008295203,0.027704498,0.0004091901,0.0011965677,0.00015180185,0.07297144,0.000018512153,0.0017856647,0.0035627056,0.80606204,0.0848469],"study_design_scores_gemma":[0.00032652344,0.000060999017,0.01013287,0.00010132607,0.0001622308,6.970592e-7,0.008351376,3.3404012e-7,0.000007742296,0.00012735411,0.97986925,0.00085930893],"about_ca_topic_score_codex":0.009836137,"about_ca_topic_score_gemma":0.053053692,"teacher_disagreement_score":0.62721246,"about_ca_system_score_codex":0.0006257512,"about_ca_system_score_gemma":0.0014223071,"threshold_uncertainty_score":0.99971753},"labels":[],"label_agreement":null},{"id":"W4205640121","doi":"10.7202/1084231ar","title":"Exposition des cyclistes au bruit en fonction du type de voie cyclable empruntée à Montréal, Laval et Longueuil","year":2019,"lang":"fr","type":"article","venue":"Cahiers de géographie du Québec","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Exposition (narrative); Art; Physics; Humanities","score_opus":0.007374472529348539,"score_gpt":0.22937279896556745,"score_spread":0.22199832643621892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205640121","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96555644,0.011327222,0.0007563715,0.005820063,0.0017417114,0.00048128076,0.000025414158,0.00019955703,0.014091941],"genre_scores_gemma":[0.978282,0.0032088237,0.00045993182,0.0007303387,0.00082875206,0.000031561325,0.000052108036,0.00005516852,0.016351322],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99681085,0.0006441117,0.00047843572,0.00063224166,0.00042673876,0.0010075988],"domain_scores_gemma":[0.9982539,0.00041863418,0.00023627246,0.00041526486,0.00023761057,0.00043836393],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0016121768,0.0003859391,0.000427908,0.00023599571,0.00095559115,0.00020305988,0.0004709088,0.0007142231,0.0006578389],"category_scores_gemma":[0.0002200324,0.0004179311,0.00041277776,0.0015199976,0.0051201694,0.0011168038,0.00003834807,0.0006666556,0.00025919694],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018020574,0.00035956682,0.9502522,0.00019290937,0.00014569133,0.000040452538,0.026745416,0.00014808719,0.0013584282,0.0082294205,0.0058309697,0.0065166694],"study_design_scores_gemma":[0.00095467136,0.00029413815,0.89671904,0.00019364683,0.00036476477,0.00001431942,0.0046380204,0.00017336057,0.0005250392,0.008443689,0.087023504,0.00065579935],"about_ca_topic_score_codex":0.52515876,"about_ca_topic_score_gemma":0.6737086,"teacher_disagreement_score":0.14854987,"about_ca_system_score_codex":0.0019286282,"about_ca_system_score_gemma":0.0018599165,"threshold_uncertainty_score":0.99982727},"labels":[],"label_agreement":null},{"id":"W4205770263","doi":"10.1155/2022/7542560","title":"Spatially Varying Relation between Built Environment and Station-Level Subway Passenger-Distance","year":2022,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Science Foundation of Ministry of Education of China; China Postdoctoral Science Foundation; Ministry of Education of the People's Republic of China; National Natural Science Foundation of China","keywords":"Transport engineering; Ordinary least squares; Regression analysis; TRIPS architecture; Relation (database); Subway station; Mode (computer interface); Built environment; Transfer station; Variables; Linear regression; Transfer (computing); Geography; Statistics; Computer science; Engineering; Mathematics; Civil engineering","score_opus":0.028202866422505062,"score_gpt":0.28586202577947145,"score_spread":0.25765915935696637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205770263","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9680874,0.0003342964,0.030287443,0.0006352202,0.00022468748,0.00018530095,0.00009159266,0.000014679632,0.00013941305],"genre_scores_gemma":[0.99384063,0.00018123545,0.0056182444,0.000028165392,0.0001397564,0.000007822536,0.0000893415,0.000011059952,0.0000837528],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99828655,0.000110223846,0.0005842408,0.00016437717,0.00069092907,0.0001636719],"domain_scores_gemma":[0.999005,0.00012940085,0.00060113677,0.000077187186,0.000085999185,0.00010125455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007095871,0.00009593837,0.00018869972,0.00009274016,0.00058125367,0.000024472354,0.00012976759,0.000039185972,0.00018252782],"category_scores_gemma":[0.000022872178,0.00010313935,0.00007145295,0.00018235938,0.000081963924,0.00087050436,0.0000024603767,0.00026488895,6.2897925e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020716083,0.00009321831,0.9048706,0.000030358991,0.000039930845,0.00002453142,0.024020318,0.045299947,0.0016710464,0.0010289715,0.000013515424,0.022700371],"study_design_scores_gemma":[0.0006834834,0.000103169936,0.9867106,0.000016052658,0.00006530095,3.6261108e-7,0.0016749616,0.000013326458,0.00015051261,0.003968589,0.0064925635,0.00012104805],"about_ca_topic_score_codex":0.00018553156,"about_ca_topic_score_gemma":0.0007872052,"teacher_disagreement_score":0.08184,"about_ca_system_score_codex":0.00016928215,"about_ca_system_score_gemma":0.0001318304,"threshold_uncertainty_score":0.4470592},"labels":[],"label_agreement":null},{"id":"W4205810098","doi":"10.1016/b978-0-08-102671-7.10392-6","title":"Bicycle Sharing/Bikesharing","year":2021,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Relocation; Bike sharing; Key (lock); Transport engineering; Cycling; Business; Environmental planning; Engineering; Computer science; Geography; Computer security","score_opus":0.03490913529553242,"score_gpt":0.2906594167251489,"score_spread":0.2557502814296165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205810098","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014306906,0.0016892456,0.0000016564243,0.00011399524,0.0006599644,0.00033337314,0.000022693675,0.00018062408,0.99556774],"genre_scores_gemma":[0.014768954,0.000079586,0.00010789875,0.0002308202,0.0010897693,0.000015603215,0.00003774826,0.000066375374,0.98360324],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977489,0.000021725595,0.00044181713,0.000752492,0.00057983556,0.0004552058],"domain_scores_gemma":[0.9987359,0.00004516949,0.00020225317,0.0006411867,0.00014259272,0.00023286564],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00050573883,0.00032554285,0.00049064413,0.0000945521,0.0005323797,0.00022598759,0.00070729584,0.00046670332,0.004981286],"category_scores_gemma":[0.000028925684,0.00034501855,0.00037262266,0.000026524534,0.0003533651,0.00011844892,0.00015516927,0.0005769449,0.00024652312],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005642463,0.000012405229,0.003865109,0.0000864075,0.00007871998,0.000102211096,0.0018903307,1.3237295e-7,0.000009246304,0.047612723,0.00010705772,0.94623],"study_design_scores_gemma":[0.0000974943,0.000006658465,0.000734565,0.00030811306,0.00008117081,4.038271e-7,0.00005772033,6.771097e-7,0.000016814516,0.030325985,0.9679616,0.00040876586],"about_ca_topic_score_codex":0.00004189328,"about_ca_topic_score_gemma":0.003333784,"teacher_disagreement_score":0.96785456,"about_ca_system_score_codex":0.0001663725,"about_ca_system_score_gemma":0.00036891684,"threshold_uncertainty_score":0.99990016},"labels":[],"label_agreement":null},{"id":"W4205815183","doi":"10.31590/ejosat.1042311","title":"Türkiye'de Uzun Bisiklet Parkurlarının Bisiklet Kullanımına Etkisinin İncelenmesi","year":2022,"lang":"tr","type":"article","venue":"European Journal of Science and Technology","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Yukon University","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.016567852709747238,"score_gpt":0.26544034544365114,"score_spread":0.2488724927339039,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205815183","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96224266,0.0033091302,0.000053162064,0.017834635,0.0011833559,0.00017426013,0.000027046066,0.000078598525,0.015097163],"genre_scores_gemma":[0.9967905,0.0009354433,0.00063955726,0.0005935126,0.00034520662,0.0000021460419,8.439539e-7,0.000027769245,0.00066498236],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9948326,0.00059894874,0.0010547265,0.0006972866,0.0017082697,0.0011081912],"domain_scores_gemma":[0.9973424,0.000093190465,0.0010364712,0.00042529474,0.0006655254,0.00043708752],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.015676415,0.00029664263,0.0005465894,0.0013878794,0.0031392686,0.00031352046,0.0033508656,0.00009751343,0.0006251913],"category_scores_gemma":[0.0005965948,0.00027321343,0.0001472462,0.005462109,0.00890647,0.0007941112,0.0007204425,0.0015908674,0.000031058153],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003947318,0.0015504557,0.62647915,0.00012200236,0.0002141088,0.0057092574,0.029708508,0.000046374236,0.034901656,0.025690299,0.032423183,0.24276024],"study_design_scores_gemma":[0.0024461162,0.0035658595,0.15624097,0.0002000499,0.00022496835,0.0007931117,0.052819997,0.00013467918,0.0031480307,0.0099040875,0.76942647,0.0010956884],"about_ca_topic_score_codex":0.00006060402,"about_ca_topic_score_gemma":0.000023198416,"teacher_disagreement_score":0.73700327,"about_ca_system_score_codex":0.0003330921,"about_ca_system_score_gemma":0.0015091198,"threshold_uncertainty_score":0.999972},"labels":[],"label_agreement":null},{"id":"W4205871913","doi":"10.1016/j.jth.2021.101317","title":"Foot-based microscale audit of light rail network in Montreal Canada","year":2021,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Audit; Transport engineering; Microscale chemistry; Transit (satellite); Geography; Data collection; Business; Computer science; Engineering; Accounting; Public transport; Psychology; Statistics","score_opus":0.013328415281951531,"score_gpt":0.2761091434465746,"score_spread":0.26278072816462306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205871913","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97933835,0.003968771,0.0002909591,0.014037305,0.0007558271,0.00013402701,0.000036995265,0.0000060720095,0.0014316691],"genre_scores_gemma":[0.9979044,0.000259289,0.00052001426,0.0007658149,0.00027407642,9.606625e-7,0.000010017934,0.0000090138055,0.0002564046],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974453,0.00017028028,0.0011113437,0.00016692415,0.00063443213,0.00047175604],"domain_scores_gemma":[0.99863434,0.00008189922,0.00060155295,0.00015258986,0.00025130186,0.0002783359],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014455608,0.000116660354,0.0005770042,0.00005835316,0.00017109097,0.000009664169,0.0002644516,0.000087204295,0.00024214904],"category_scores_gemma":[0.000020728352,0.00010883259,0.0001887796,0.0005559881,0.00008820828,0.00014214798,0.0000024438502,0.0003380032,3.0438434e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012576253,0.00023386537,0.9906958,0.00012852137,0.000020837722,0.00027806207,0.0016720057,0.0004688248,0.00008202267,0.000048753158,0.0038014336,0.002444164],"study_design_scores_gemma":[0.0008305294,0.00006702305,0.9561573,0.00023018234,0.00002197706,0.0000019784693,0.0005465008,0.0000040046466,0.000290764,0.00025471224,0.041491985,0.000103005026],"about_ca_topic_score_codex":0.72066146,"about_ca_topic_score_gemma":0.99559283,"teacher_disagreement_score":0.27493137,"about_ca_system_score_codex":0.00037072512,"about_ca_system_score_gemma":0.012322495,"threshold_uncertainty_score":0.9932767},"labels":[],"label_agreement":null},{"id":"W4205922363","doi":"10.1016/j.cstp.2022.01.001","title":"Transport preferences and dilemmas in the post-lockdown (COVID-19) period: Findings from a qualitative study of young commuters in Dhaka, Bangladesh","year":2022,"lang":"en","type":"article","venue":"Case Studies on Transport Policy","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"SAFER; Coronavirus disease 2019 (COVID-19); Thematic analysis; Flexibility (engineering); Pandemic; Transmission (telecommunications); Mode (computer interface); Business; Qualitative research; Medicine; Economics; Engineering; Computer science; Computer security; Telecommunications; Sociology","score_opus":0.09191969884690132,"score_gpt":0.40687766294687305,"score_spread":0.31495796409997173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205922363","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9935745,0.00040222277,0.0000014768531,0.0028235705,0.000119551834,0.0013589254,0.0008225915,0.000038752383,0.0008583885],"genre_scores_gemma":[0.9986247,0.0000932597,0.000010472987,0.00067283487,0.000059286947,0.0003977463,0.00007715262,0.000015458092,0.000049086695],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9962264,0.001041702,0.0008822009,0.00061336946,0.0007507087,0.00048567815],"domain_scores_gemma":[0.9985408,0.00069268,0.00019301251,0.00035139464,0.000069582326,0.00015251614],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0025537424,0.0003103318,0.0006814186,0.00038861373,0.0011890142,0.000021369935,0.0005614288,0.0000749884,0.00017679033],"category_scores_gemma":[0.00012691149,0.00025045505,0.0001357332,0.0012503897,0.0009519165,0.0002379352,0.000030508365,0.00056337647,4.8934766e-7],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020480764,0.00058698,0.41775674,0.000035976514,0.000078298435,0.0011277001,0.5796505,0.000024914916,0.0000039275783,0.0004297948,0.000013724267,0.00008659116],"study_design_scores_gemma":[0.0011960568,0.00039738716,0.33948708,0.000019170526,0.00007065621,0.0000059617837,0.6577702,9.0153446e-7,0.0000027677738,0.00066230196,0.00019461276,0.00019288487],"about_ca_topic_score_codex":0.2603549,"about_ca_topic_score_gemma":0.5724093,"teacher_disagreement_score":0.3120544,"about_ca_system_score_codex":0.00027436152,"about_ca_system_score_gemma":0.00045348884,"threshold_uncertainty_score":0.99999475},"labels":[],"label_agreement":null},{"id":"W4205981974","doi":"10.2139/ssrn.3981315","title":"How Does \"Open Community\" Policy Impact on Walkability: Case Study in Beijing","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Amorfix (Canada)","funders":"","keywords":"Walkability; Beijing; Environmental health; Business; Geography; China; Medicine; Built environment; Engineering; Civil engineering","score_opus":0.03368818769880894,"score_gpt":0.38324893604184834,"score_spread":0.3495607483430394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205981974","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.993242,0.00019649052,0.000022143406,0.004261631,0.000106087326,0.00036161294,0.000004349875,0.000022036826,0.0017836018],"genre_scores_gemma":[0.99823296,0.00015329919,0.000011074294,0.000092405055,0.00032276943,0.0000075569087,0.0000021369322,0.000014371394,0.001163448],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9952609,0.0018786669,0.00030376267,0.00023943362,0.00038228114,0.0019349799],"domain_scores_gemma":[0.9989235,0.0002399564,0.00013579834,0.00039718565,0.00013724322,0.00016635488],"candidate_categories":["sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.007601855,0.00017166382,0.00031379898,0.0001495003,0.001482567,0.00076151063,0.00078294135,0.00008596471,0.00006480995],"category_scores_gemma":[0.00046574158,0.000121086036,0.00015123804,0.0008027522,0.00012920509,0.0007916649,0.00010388766,0.0033443088,0.0000025495767],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054348187,0.0012561013,0.961576,0.000004366584,0.00009173765,0.0005105805,0.015712785,0.000006428596,0.00002359465,0.005956185,0.0000046486794,0.01480322],"study_design_scores_gemma":[0.0018824671,0.0007920596,0.2301234,0.000042158303,0.000053674485,0.00034929274,0.5510243,0.0000054109382,0.000038692448,0.21493994,0.0003784729,0.00037013815],"about_ca_topic_score_codex":0.119706474,"about_ca_topic_score_gemma":0.82348067,"teacher_disagreement_score":0.7314526,"about_ca_system_score_codex":0.0030781655,"about_ca_system_score_gemma":0.007954997,"threshold_uncertainty_score":0.9998174},"labels":[],"label_agreement":null},{"id":"W4206094510","doi":"10.31198/idealkent.1009910","title":"Kent İçi Ulaşımına Entegre Edilen Bisiklet Yolu Tasarımı ve Uygulaması: Kanada/Halifax Kenti Korumalı Bisiklet Yolları Örneği","year":2021,"lang":"tr","type":"article","venue":"İDEALKENT","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Art; Political science; Physics","score_opus":0.02407000022927649,"score_gpt":0.2874312823856927,"score_spread":0.26336128215641624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206094510","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9061225,0.01584644,0.00023614807,0.018855534,0.011834877,0.001963848,0.0030339824,0.00047523118,0.04163142],"genre_scores_gemma":[0.9707385,0.0031323559,0.00043781108,0.0019182673,0.003512629,0.00007791117,0.0012611853,0.00018045244,0.018740937],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.98636025,0.0009360471,0.0025169284,0.0030609607,0.0038862568,0.003239557],"domain_scores_gemma":[0.9936353,0.0003455392,0.0010393567,0.0021580665,0.001120143,0.0017016203],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.002170991,0.0015015032,0.001941168,0.00038385254,0.0020664681,0.0012785486,0.0023650134,0.001201322,0.014758514],"category_scores_gemma":[0.0003291024,0.001526511,0.0015774335,0.002741047,0.0012896033,0.0010564503,0.0006571467,0.001612686,0.0012884398],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005149264,0.0057008765,0.5389312,0.0013236646,0.0019078859,0.0032953313,0.018594207,0.00009578806,0.001744796,0.008461576,0.39959374,0.019836046],"study_design_scores_gemma":[0.0030284955,0.00027057767,0.13601543,0.00082185364,0.00096599106,0.000020653917,0.009232676,0.0002774455,0.0033577394,0.002372685,0.8411361,0.0025003497],"about_ca_topic_score_codex":0.015260221,"about_ca_topic_score_gemma":0.027294738,"teacher_disagreement_score":0.44154236,"about_ca_system_score_codex":0.0012477812,"about_ca_system_score_gemma":0.002593361,"threshold_uncertainty_score":0.9997734},"labels":[],"label_agreement":null},{"id":"W4206155304","doi":"10.1155/2022/4979496","title":"Modelling Road User Perceptions towards Safety, Comfort, and Chaos at Shared Space: The via Maqueda Case Study, Italy","year":2022,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Perception; Cycling; Ordered logit; Unit (ring theory); Applied psychology; Psychology; Social psychology; Geography; Computer science","score_opus":0.02425370389300076,"score_gpt":0.30629648560736256,"score_spread":0.2820427817143618,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206155304","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99321634,0.00025040246,0.004721456,0.0008179612,0.00034253747,0.00048072718,0.0000622406,0.000020680392,0.00008767203],"genre_scores_gemma":[0.9985707,0.00010938806,0.0008074586,0.000047251848,0.00011458686,0.00001927446,0.000022372058,0.000014212437,0.00029480385],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9982489,0.00013855926,0.0005700467,0.0001894834,0.0006457901,0.00020724264],"domain_scores_gemma":[0.9991632,0.000051749903,0.00037470876,0.0001319445,0.00015851107,0.000119864875],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00081802503,0.00012758622,0.00022754118,0.0000842359,0.002043905,0.000056302037,0.00019934915,0.00003751716,0.00046076564],"category_scores_gemma":[0.0000063367065,0.00010282317,0.00014015127,0.00030062738,0.00014795989,0.00079162256,0.000008170246,0.00034526817,5.4774694e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006544067,0.0005080183,0.30643097,0.00002808329,0.00010811365,0.0012156882,0.26284188,0.41834292,0.0002810709,0.00015053534,0.00005797762,0.009380355],"study_design_scores_gemma":[0.0021419758,0.0004398111,0.77028984,0.000024225308,0.0003309999,0.00012365519,0.21923563,0.001390284,0.0000131138,0.00096667197,0.0047312523,0.00031254726],"about_ca_topic_score_codex":0.0038277332,"about_ca_topic_score_gemma":0.020022284,"teacher_disagreement_score":0.46385887,"about_ca_system_score_codex":0.000202199,"about_ca_system_score_gemma":0.0001433817,"threshold_uncertainty_score":0.9992553},"labels":[],"label_agreement":null},{"id":"W4206322673","doi":"10.1155/2022/3096901","title":"Exploring Built Environment Influence on Taxi Vacant Time in Megacities: A Case Study of Chongqing, China","year":2022,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Taxis; Megacity; TRIPS architecture; Transport engineering; China; Public transport; Business; Computer science; Geography; Engineering; Economy; Economics","score_opus":0.03806455286100873,"score_gpt":0.292647471732607,"score_spread":0.2545829188715983,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206322673","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993059,0.000063570165,0.00003275606,0.0000696562,0.0001456546,0.000318845,0.0000122374995,0.000011423234,0.000039934795],"genre_scores_gemma":[0.99963284,0.00006219037,0.00017943408,0.00001166073,0.000036618745,0.00003458318,0.0000021896424,0.000011555322,0.000028938055],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9980741,0.00012980522,0.0007289232,0.00016426854,0.0007296438,0.00017325404],"domain_scores_gemma":[0.99914557,0.000061273946,0.000560059,0.000116297604,0.000044066597,0.00007274261],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070977025,0.00010496913,0.000261057,0.00016140669,0.00024772913,0.000009814887,0.00019472373,0.000019557006,0.0001805961],"category_scores_gemma":[0.000019996323,0.000105022584,0.000082208026,0.0003203809,0.000057567046,0.00093328103,0.0000032676626,0.00031534236,6.996014e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046196632,0.0014877652,0.2779585,0.000029761819,0.000034415967,0.0019578272,0.2522568,0.4601184,0.0017194367,0.000045561777,0.0000020321374,0.0039275168],"study_design_scores_gemma":[0.0014611686,0.00090059766,0.8984096,0.00004787069,0.000039144754,0.0000068377813,0.09819742,0.000009950302,0.00024836662,0.0002145635,0.00033876498,0.00012567587],"about_ca_topic_score_codex":0.0027447862,"about_ca_topic_score_gemma":0.0033055407,"teacher_disagreement_score":0.62045115,"about_ca_system_score_codex":0.0002041528,"about_ca_system_score_gemma":0.0000898985,"threshold_uncertainty_score":0.42826968},"labels":[],"label_agreement":null},{"id":"W4206335662","doi":"10.5751/es-12691-260439","title":"Urban resilience thinking in practice: ensuring flows of benefit from green and blue infrastructure","year":2021,"lang":"en","type":"article","venue":"Ecology and Society","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Norges Forskningsråd; Kungliga Tekniska Högskolan; Vetenskapsrådet; Naturvårdsverket; National Science Foundation; Ministerio de Economía y Competitividad; Deutsches Zentrum für Luft- und Raumfahrt; Svenska Forskningsrådet Formas; Biodiversa+","keywords":"Green infrastructure; Resilience (materials science); Urban resilience; Urban infrastructure; Environmental ethics; Sociology; Environmental resource management; Business; Environmental planning; Urban planning; Geography; Ecology; Economics; Philosophy; Biology; Physics","score_opus":0.007682051902934063,"score_gpt":0.2659462231893341,"score_spread":0.2582641712864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206335662","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99675417,0.0009259421,0.000013748863,0.0008893161,0.00010950767,0.000066074586,0.000009669964,0.000011640421,0.0012199252],"genre_scores_gemma":[0.9967359,0.0004264095,0.0023057123,0.00030474595,0.000079574515,0.0000020604584,0.0000051634133,0.0000027489461,0.000137738],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99922305,0.00009474529,0.00016642275,0.00023772665,0.00011115227,0.00016687725],"domain_scores_gemma":[0.99936706,0.00036307928,0.00007651152,0.00008879019,0.000058703365,0.00004584305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050508836,0.00006328213,0.0001631529,0.000009538551,0.00034337834,0.000021739042,0.000091849986,0.00021056781,0.00008066048],"category_scores_gemma":[0.00013708994,0.00006356771,0.00003826544,0.00013961524,0.00029728297,0.0002634554,0.00005158689,0.00022578184,2.7512908e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000071521818,0.000021890306,0.9318783,0.000012481198,0.00001869222,0.0000084775975,0.06594396,0.00000861766,0.00019202221,0.0011969232,0.00007986161,0.0006315703],"study_design_scores_gemma":[0.0002166757,0.000009224304,0.97511786,0.000013511517,0.00002046498,4.2092566e-7,0.014994192,0.000066502864,0.00011172864,0.008194929,0.0011889155,0.00006558341],"about_ca_topic_score_codex":0.0025471663,"about_ca_topic_score_gemma":0.023215108,"teacher_disagreement_score":0.050949764,"about_ca_system_score_codex":0.000028575156,"about_ca_system_score_gemma":0.00012437593,"threshold_uncertainty_score":0.99460864},"labels":[],"label_agreement":null},{"id":"W4206346161","doi":"10.1155/2022/6806947","title":"Investigating the Spatiotemporal Imbalance of Accessibility to Demand Responsive Transit (DRT) Service for People with Disabilities: Explanatory Case Study in South Korea","year":2022,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"University of Seoul","keywords":"Taxis; Service (business); Schedule; Transport engineering; Index (typography); Public transport; Disabled people; Travel time; Level of service; Space (punctuation); Computer science; Business; Geography; Medicine; Environmental health; Marketing; Engineering","score_opus":0.02881447234903985,"score_gpt":0.32179387586569186,"score_spread":0.292979403516652,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206346161","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965453,0.00006091914,0.0010449846,0.0006968809,0.00012379188,0.0013941074,0.0001146322,0.000010567898,0.000008777519],"genre_scores_gemma":[0.998474,0.0000015316889,0.0012332227,0.00010382524,0.000045320445,0.00010899213,0.000012839193,0.00001287971,0.000007384864],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99769163,0.000335599,0.0008777988,0.00024786085,0.00063178764,0.00021534154],"domain_scores_gemma":[0.99807817,0.0005185829,0.00064687326,0.00018837827,0.00045897628,0.00010899796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002144312,0.00013485,0.00037930082,0.00011730765,0.0004724624,0.000021703916,0.0003139098,0.000032962333,0.000024581412],"category_scores_gemma":[0.0001533116,0.00010333881,0.000092033784,0.00090411806,0.00011648751,0.0006550925,0.0000039100905,0.0002695223,5.1309563e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007677438,0.00017648585,0.60725945,0.00006686633,0.00001639007,0.000033258555,0.365766,0.025641393,0.00009292636,0.00002062032,0.0000017265729,0.00015716243],"study_design_scores_gemma":[0.0011244272,0.0003939041,0.58990884,0.00003417315,0.000050131268,0.0000028665406,0.40785223,0.00001887157,0.000085294676,0.00042095777,0.000022544999,0.00008574454],"about_ca_topic_score_codex":0.0023607442,"about_ca_topic_score_gemma":0.1920462,"teacher_disagreement_score":0.18968545,"about_ca_system_score_codex":0.00015140235,"about_ca_system_score_gemma":0.0005105691,"threshold_uncertainty_score":0.82269686},"labels":[],"label_agreement":null},{"id":"W4206348517","doi":"10.18778/1733-8077.11.3.08","title":"Mobility Boundaries Between Home, Community, and Beyond: Experiences of Exceptionally Old Adults Living in Eastern Canada","year":2015,"lang":"en","type":"article","venue":"Qualitative Sociology Review","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of New Brunswick; St. Thomas University","funders":"Fondation de la recherche en santé du Nouveau-Brunswick; Social Sciences and Humanities Research Council of Canada; St. Thomas University","keywords":"Sociology; Independence (probability theory); Ethnography; Context (archaeology); Face (sociological concept); Social mobility; Politics; Quality of life (healthcare); Gender studies; Gerontology; Political science; Social science; Medicine; Nursing; Geography; Anthropology","score_opus":0.10766203069314768,"score_gpt":0.41575987146632754,"score_spread":0.30809784077317987,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206348517","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96441996,0.033073314,0.000013301483,0.0010734935,0.000110848094,0.00033895767,0.000035902518,0.000011970356,0.0009222585],"genre_scores_gemma":[0.99820346,0.0009976346,0.00008803739,0.000495893,0.000036307785,0.00006314001,0.000023303624,0.0000041998237,0.000088037305],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99334097,0.0053363275,0.00057904626,0.00021089318,0.00029039264,0.0002423635],"domain_scores_gemma":[0.997135,0.0020468174,0.00026116057,0.00017435841,0.0002551472,0.00012752895],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.007330496,0.00012666827,0.00060805643,0.000026719861,0.00038241604,0.000016475673,0.00031445263,0.00009996628,0.00010071364],"category_scores_gemma":[0.0016206991,0.00011198628,0.000053384065,0.0001803759,0.0044178376,0.00024301744,0.000067809815,0.00030063078,0.0000015339292],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000042080164,0.00002905283,0.4618047,0.00034603852,0.00000949651,2.9206763e-7,0.53628784,1.5719014e-8,1.2717405e-7,0.0008135132,0.00011665829,0.00058805983],"study_design_scores_gemma":[0.00012464706,0.000060216757,0.36151448,0.0005913041,0.00001516076,5.2195414e-8,0.6267326,2.1975032e-7,4.3679523e-7,0.009909545,0.0009345995,0.00011674749],"about_ca_topic_score_codex":0.53683025,"about_ca_topic_score_gemma":0.75206167,"teacher_disagreement_score":0.21523143,"about_ca_system_score_codex":0.00014990097,"about_ca_system_score_gemma":0.0013163829,"threshold_uncertainty_score":0.99829155},"labels":[],"label_agreement":null},{"id":"W4206359311","doi":"10.2478/aup-2021-0013","title":"A Quality Assessment Directory for Evaluating Multi-functional Public Spaces","year":2021,"lang":"en","type":"article","venue":"Architecture and Urban Planning","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Qatar National Research Fund; Fonds National de la Recherche Luxembourg; Qatar Foundation","keywords":"Openness to experience; Public space; Quality (philosophy); Directory; Quality of life (healthcare); Public relations; Sociology; Psychology; Computer science; Social psychology; Engineering; Political science; Architectural engineering","score_opus":0.1755359885524388,"score_gpt":0.43056284415280527,"score_spread":0.2550268556003665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206359311","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9489182,0.0018694283,0.041147944,0.0019591383,0.0003315729,0.0002620609,0.000031363823,0.00010978281,0.0053705056],"genre_scores_gemma":[0.9848027,0.0000047875315,0.012980911,0.0002628476,0.0003502855,0.000037962618,0.00007734861,0.000009445609,0.0014737063],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985143,0.00024883114,0.00021304404,0.00036941652,0.00033207762,0.00032236407],"domain_scores_gemma":[0.998928,0.0005829612,0.000092565,0.00012641697,0.00013651772,0.00013353309],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001240489,0.000118438315,0.00018942924,0.00005121249,0.00088347076,0.00019178784,0.000091047674,0.00007706603,0.00010937327],"category_scores_gemma":[0.00040610656,0.00010756063,0.000090710986,0.00017151714,0.00014343673,0.0001588052,0.000027286382,0.00019658094,6.1445655e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021935959,0.00007146149,0.97921133,0.000046123896,0.000042528714,0.0000046870355,0.006890842,0.000044672768,0.0011675977,0.0023100667,0.0005612311,0.009627498],"study_design_scores_gemma":[0.000626408,0.00003081506,0.9482723,0.000041388976,0.000030103634,9.3106956e-7,0.0022530071,0.0002750951,0.00009263301,0.0028524627,0.04530142,0.00022344464],"about_ca_topic_score_codex":0.0001445732,"about_ca_topic_score_gemma":0.00094987196,"teacher_disagreement_score":0.044740185,"about_ca_system_score_codex":0.00004107001,"about_ca_system_score_gemma":0.00041591362,"threshold_uncertainty_score":0.6795032},"labels":[],"label_agreement":null},{"id":"W4206392164","doi":"10.1007/978-94-007-0753-5_103051","title":"Physical and Social Environment","year":2014,"lang":"en","type":"book-chapter","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brandon University; University of Northern British Columbia","funders":"","keywords":"Psychology","score_opus":0.02151767028387411,"score_gpt":0.2582067351987495,"score_spread":0.23668906491487537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206392164","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00336381,0.00003844452,0.00008893508,0.00063501374,0.000054032058,0.000109362205,0.000007381942,0.000040578605,0.99566245],"genre_scores_gemma":[0.29978642,0.000025697469,0.000022223703,0.00010595981,0.00086419727,0.0000014855802,0.000009112163,0.0000095617315,0.69917536],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992781,0.0000109574385,0.00009204696,0.00023189683,0.00025543902,0.00013155967],"domain_scores_gemma":[0.99978346,0.000026644942,0.000049898186,0.00007795963,0.0000069641137,0.00005510471],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00012429387,0.00011531539,0.00018940258,0.000014235581,0.00027250196,0.00003064432,0.00010205183,0.00017137753,0.0023176002],"category_scores_gemma":[0.0000011878228,0.00010129692,0.00008639809,0.0000031580807,0.00051772234,0.000034525325,0.000021179372,0.0001335946,0.0001489588],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000035453857,0.000013240085,0.0007039474,0.000014140127,0.000016938066,0.000001481416,0.002962513,1.7652008e-8,0.0000030648373,0.97692585,0.0017054835,0.01764975],"study_design_scores_gemma":[0.00006168152,0.000009900968,0.0014835114,0.0000038509684,0.000034701523,1.450101e-8,0.00004343008,0.0000011152788,0.0000023379014,0.06402662,0.93416977,0.00016304468],"about_ca_topic_score_codex":0.00015740798,"about_ca_topic_score_gemma":0.00042140868,"teacher_disagreement_score":0.9324643,"about_ca_system_score_codex":0.000034537643,"about_ca_system_score_gemma":0.000025984482,"threshold_uncertainty_score":0.9985944},"labels":[],"label_agreement":null},{"id":"W4206444823","doi":"10.1371/journal.pone.0262768","title":"Physical activity and active transportation behaviour among rural, peri-urban and urban children in Kenya, Mozambique and Nigeria: The PAAT Study","year":2022,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Children's Hospital of Eastern Ontario; University of Lethbridge","funders":"International Development Research Centre","keywords":"Kenya; Demography; Logistic regression; Cross-sectional study; Rural area; Odds; Medicine; Physical activity; Environmental health; Developing country; Geography; Ecology","score_opus":0.018532771108710752,"score_gpt":0.2547632867558827,"score_spread":0.23623051564717196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206444823","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99825096,0.000080551436,3.869871e-7,0.00040161336,0.000015094321,0.0010726023,0.000078079815,0.00003331329,0.000067395886],"genre_scores_gemma":[0.9996239,0.000024867451,0.00000465822,0.00001873111,0.000070967275,0.00013696808,0.000017671136,0.000010442512,0.000091811584],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998694,0.00028401153,0.00012292196,0.0003180715,0.00037980446,0.00020120527],"domain_scores_gemma":[0.99962234,0.000064307715,0.00007801915,0.00013190562,0.00002471634,0.00007868914],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037191936,0.00012433028,0.00024354552,0.000038698057,0.0007489444,0.00006997218,0.00012347267,0.00004258853,0.00003057199],"category_scores_gemma":[0.000015396425,0.00010644359,0.00002599212,0.00021183262,0.0003335201,0.00040956956,0.000026386682,0.00034579067,1.4267674e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000072269344,0.002449124,0.9242004,0.000006482969,0.00004113866,0.0000037565278,0.072444275,3.7901037e-7,0.0004848397,0.000020140189,0.000006093819,0.00027109438],"study_design_scores_gemma":[0.00046078872,0.0001708748,0.9831457,0.000009792867,0.00009960272,5.9635475e-8,0.015555183,0.000015473446,0.0002846495,0.00012728698,0.0000015842382,0.00012896827],"about_ca_topic_score_codex":0.009739973,"about_ca_topic_score_gemma":0.025073195,"teacher_disagreement_score":0.058945328,"about_ca_system_score_codex":0.000052871947,"about_ca_system_score_gemma":0.000037336547,"threshold_uncertainty_score":0.99685425},"labels":[],"label_agreement":null},{"id":"W4206531259","doi":"10.1155/2022/8781489","title":"Study on Occupancy Behaviors of Passengers in the Subway Cabin: An Observation in Chengdu, China","year":2022,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Key Research and Development Program of China; Southwest Jiaotong University","keywords":"Occupancy; Transport engineering; China; Significant difference; Service (business); Engineering; Statistics; Mathematics; Business; Geography; Civil engineering; Marketing","score_opus":0.03694728405445437,"score_gpt":0.3459061127343645,"score_spread":0.30895882867991015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206531259","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99893343,0.000039824085,0.000013451595,0.0002952982,0.00022923965,0.00041645832,0.000011393146,0.000005327998,0.00005555896],"genre_scores_gemma":[0.999768,0.000014093548,0.00010205913,0.000029603569,0.000038429913,0.0000145637105,0.00001972575,0.0000065143004,0.0000070015876],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979521,0.0003324268,0.00068787095,0.00013567555,0.00074694346,0.00014498256],"domain_scores_gemma":[0.99922377,0.0000690523,0.0004702194,0.00012107107,0.00007985104,0.000036047546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001759467,0.00008570762,0.00020867113,0.00018052587,0.0001589286,0.000010797222,0.00030087648,0.000030960782,0.00003895419],"category_scores_gemma":[0.000026057021,0.000070806935,0.00007697212,0.0007627063,0.000045831952,0.00070867856,9.631572e-7,0.0003874264,8.288304e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002402297,0.0011985636,0.8540451,0.0000058694854,0.000003839636,0.000043412343,0.1317502,0.011033388,0.00032229867,0.00014512747,0.0000013451303,0.0012106467],"study_design_scores_gemma":[0.00096905156,0.00055376993,0.9088919,0.000015051798,0.000023892018,1.6683371e-7,0.0889579,0.0000019230201,0.00007062763,0.00039920205,0.00005150941,0.00006500429],"about_ca_topic_score_codex":0.0010338227,"about_ca_topic_score_gemma":0.01771058,"teacher_disagreement_score":0.054846812,"about_ca_system_score_codex":0.00012691403,"about_ca_system_score_gemma":0.00013290727,"threshold_uncertainty_score":0.988292},"labels":[],"label_agreement":null},{"id":"W4206654375","doi":"10.1016/j.jth.2022.101332","title":"The emergence of recreational cycling in Hanoi during the Covid-19 pandemic","year":2022,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":29,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cycling; Recreation; Pandemic; Quarter (Canadian coin); Coronavirus disease 2019 (COVID-19); Geography; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Demography; Socioeconomics; Medicine; Political science; Sociology","score_opus":0.06940780210900015,"score_gpt":0.38605693749130915,"score_spread":0.316649135382309,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206654375","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98311174,0.0023704823,0.0002015622,0.0134532,0.00039447122,0.00020327404,0.000019688154,0.000007851234,0.00023774039],"genre_scores_gemma":[0.9971251,0.0020657529,0.000054103955,0.00044370483,0.00013986453,0.000006743632,0.0000023703515,0.000005261538,0.00015713871],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974647,0.00037596186,0.00095843046,0.00011225545,0.0008100439,0.00027862072],"domain_scores_gemma":[0.9986568,0.0002773772,0.00069578463,0.00012532479,0.000072999734,0.00017167673],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0070757535,0.0000696066,0.00022216204,0.000073768686,0.0016545386,0.000009311419,0.0005570286,0.000027896029,0.00041009166],"category_scores_gemma":[0.00008746311,0.000044872348,0.00015178086,0.0004768813,0.00021460242,0.00015520667,0.00000804587,0.00050891045,1.99603e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015393872,0.00006484965,0.9836438,0.000038560916,0.000011448521,0.00001115865,0.013510085,0.0014450403,0.000043735326,0.00038305443,0.00009754147,0.000596792],"study_design_scores_gemma":[0.00041072886,0.000062291954,0.96768814,0.00002491723,0.000011450012,0.000008235016,0.009134303,0.000008731727,0.0000074546037,0.0016377224,0.020946011,0.00006000829],"about_ca_topic_score_codex":0.0054423767,"about_ca_topic_score_gemma":0.028021256,"teacher_disagreement_score":0.022578878,"about_ca_system_score_codex":0.00030864868,"about_ca_system_score_gemma":0.0024143227,"threshold_uncertainty_score":0.9996452},"labels":[],"label_agreement":null},{"id":"W4206702050","doi":"10.26686/wgtn.17013524.v1","title":"From Cycleway to Urbanism: Planning for Coastal Cycleway","year":2015,"lang":"en","type":"dissertation","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"European Commission; Ministry of Business, Innovation and Employment; Greater Wellington Regional Council; McGill University; Portland State University","keywords":"Cycling; Urbanism; Globe; Urban planning; Politics; Political science; Environmental planning; Geography; Business; Engineering; Civil engineering; Architecture; Psychology; Law","score_opus":0.043308905048141964,"score_gpt":0.3832816684748504,"score_spread":0.33997276342670846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206702050","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78591526,0.00017206655,0.0006757303,0.0003246699,0.002371684,0.0010112432,0.0005047385,0.00024062653,0.208784],"genre_scores_gemma":[0.8920944,0.0000026954772,0.0021769945,0.00025661028,0.001933494,0.00012780711,0.0048370445,0.00005273441,0.098518245],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.997973,0.00004547585,0.00036838528,0.0005717579,0.00059059623,0.00045075497],"domain_scores_gemma":[0.9988106,0.0001439599,0.00015064285,0.00024159055,0.00028947505,0.0003637214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048048657,0.00025359003,0.00039062815,0.000088743065,0.00041336025,0.00018560683,0.0005047208,0.00042648,0.00079270476],"category_scores_gemma":[0.00015756526,0.00024280597,0.00017045894,0.00019143459,0.000050937295,0.00025121323,0.000012655459,0.00018637585,0.00008516783],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016041395,0.00047976774,0.06641711,0.0002328879,0.00031019858,0.00003303824,0.39517605,0.000045346107,0.0016822892,0.004415904,0.4993813,0.030221961],"study_design_scores_gemma":[0.0013941021,0.00020661321,0.117898114,0.000388598,0.000341729,5.858858e-8,0.16149756,0.00003375941,0.0019225592,0.072984345,0.6414055,0.0019270087],"about_ca_topic_score_codex":0.026646614,"about_ca_topic_score_gemma":0.13157699,"teacher_disagreement_score":0.23367849,"about_ca_system_score_codex":0.0000943902,"about_ca_system_score_gemma":0.0005876836,"threshold_uncertainty_score":0.990134},"labels":[],"label_agreement":null},{"id":"W4206712705","doi":"10.26686/wgtn.17013524","title":"From Cycleway to Urbanism: Planning for Coastal Cycleway","year":2015,"lang":"en","type":"dissertation","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"European Commission; Ministry of Business, Innovation and Employment; Greater Wellington Regional Council; McGill University; Portland State University","keywords":"Cycling; Urbanism; Globe; Urban planning; Politics; Political science; Environmental planning; Geography; Business; Engineering; Civil engineering; Architecture; Law; Psychology","score_opus":0.043308905048141964,"score_gpt":0.3832816684748504,"score_spread":0.33997276342670846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206712705","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78591526,0.00017206655,0.0006757303,0.0003246699,0.002371684,0.0010112432,0.0005047385,0.00024062653,0.208784],"genre_scores_gemma":[0.8920944,0.0000026954772,0.0021769945,0.00025661028,0.001933494,0.00012780711,0.0048370445,0.00005273441,0.098518245],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.997973,0.00004547585,0.00036838528,0.0005717579,0.00059059623,0.00045075497],"domain_scores_gemma":[0.9988106,0.0001439599,0.00015064285,0.00024159055,0.00028947505,0.0003637214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048048657,0.00025359003,0.00039062815,0.000088743065,0.00041336025,0.00018560683,0.0005047208,0.00042648,0.00079270476],"category_scores_gemma":[0.00015756526,0.00024280597,0.00017045894,0.00019143459,0.000050937295,0.00025121323,0.000012655459,0.00018637585,0.00008516783],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016041395,0.00047976774,0.06641711,0.0002328879,0.00031019858,0.00003303824,0.39517605,0.000045346107,0.0016822892,0.004415904,0.4993813,0.030221961],"study_design_scores_gemma":[0.0013941021,0.00020661321,0.117898114,0.000388598,0.000341729,5.858858e-8,0.16149756,0.00003375941,0.0019225592,0.072984345,0.6414055,0.0019270087],"about_ca_topic_score_codex":0.026646614,"about_ca_topic_score_gemma":0.13157699,"teacher_disagreement_score":0.23367849,"about_ca_system_score_codex":0.0000943902,"about_ca_system_score_gemma":0.0005876836,"threshold_uncertainty_score":0.990134},"labels":[],"label_agreement":null},{"id":"W4206730808","doi":"10.7202/1083623ar","title":"Vers une utilisation accrue du transport en commun à Québec ? Analyse des impacts de scénarios pour les personnes fréquentant le campus universitaire","year":2021,"lang":"fr","type":"article","venue":"Canadian Journal of Regional Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Art","score_opus":0.02677005885239339,"score_gpt":0.25906418815277527,"score_spread":0.23229412930038187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206730808","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92803246,0.0061946893,0.00023539735,0.06306969,0.0004018489,0.00006694886,0.000031563384,0.000006703676,0.001960677],"genre_scores_gemma":[0.99718857,0.00054678443,0.0005249596,0.00030489272,0.000335728,3.4707236e-7,0.0000053910903,0.00000984246,0.0010835023],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99764633,0.00027491673,0.00038961807,0.00029451752,0.0006339873,0.000760651],"domain_scores_gemma":[0.9968399,0.00016285802,0.00032984567,0.00019079485,0.0008964313,0.0015802085],"candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0015728768,0.0001946363,0.0002999958,0.00028591653,0.0025485451,0.00015552035,0.0010022164,0.00015230461,0.0005057203],"category_scores_gemma":[0.00025901615,0.00020026254,0.00029358157,0.0020523814,0.0059343604,0.0019704604,0.0000105806685,0.00042294362,0.0000054365105],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.00002420318,0.00007004169,0.9316813,0.000029968776,0.000058524074,0.001083072,0.05546466,0.00068162207,0.00075414445,0.0026381228,0.0008559569,0.006658414],"study_design_scores_gemma":[0.00044159868,0.00006642276,0.82840246,0.0003150841,0.00015479651,0.00024247846,0.1542162,0.0001513908,0.00031550083,0.0010265146,0.01441449,0.00025306956],"about_ca_topic_score_codex":0.90854937,"about_ca_topic_score_gemma":0.9886199,"teacher_disagreement_score":0.10327882,"about_ca_system_score_codex":0.0040816525,"about_ca_system_score_gemma":0.079228796,"threshold_uncertainty_score":0.9997415},"labels":[],"label_agreement":null},{"id":"W4206757015","doi":"10.2139/ssrn.4000804","title":"Pedal Poll/Sondo Vélo 2021: A Community Science Project on Who Cycles in Canada","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Nova Scotia Health Authority; Research Manitoba; Occupational and Environmental Medical Association of Canada; Dalhousie University; University of Winnipeg; Toronto Metropolitan University; Saint Mary's University; University of Victoria; University of Manitoba; Simon Fraser University","funders":"","keywords":"Political science; Library science; Computer science","score_opus":0.020046872666898388,"score_gpt":0.3084749742238414,"score_spread":0.28842810155694304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206757015","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9870894,0.00081272604,0.000023969524,0.0016381866,0.00023280486,0.000117555064,0.000007394482,0.000008962916,0.010068991],"genre_scores_gemma":[0.99780726,0.00075150526,0.000016140299,0.00016771455,0.00019138154,0.0000032968967,0.0000025791633,0.000008306767,0.0010517832],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99569035,0.0005513969,0.00029529096,0.00023553657,0.0008598482,0.0023676085],"domain_scores_gemma":[0.9991883,0.00012315159,0.000116708514,0.000253616,0.00017619801,0.00014202179],"candidate_categories":["sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0047450094,0.00013124173,0.00021431559,0.00013101335,0.0017290266,0.0001702036,0.0008005778,0.000051171442,0.00011551948],"category_scores_gemma":[0.00033733383,0.00012171141,0.00007196854,0.001265377,0.0003448968,0.00045375735,0.000046076155,0.0029130995,0.0000036619617],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.00008035799,0.0003069253,0.9332543,0.000010966787,0.000037161833,0.00008104411,0.006343351,0.000027736636,0.0004187427,0.033092596,0.00020737908,0.02613941],"study_design_scores_gemma":[0.0016895328,0.00027415392,0.6605935,0.00017702278,0.000041242103,0.000052370604,0.22281967,0.00006881491,0.0012759909,0.10645833,0.0057893055,0.00076007773],"about_ca_topic_score_codex":0.9654917,"about_ca_topic_score_gemma":0.99951434,"teacher_disagreement_score":0.27266085,"about_ca_system_score_codex":0.0061768643,"about_ca_system_score_gemma":0.11926339,"threshold_uncertainty_score":0.9995706},"labels":[],"label_agreement":null},{"id":"W4206791892","doi":"10.1038/s41598-021-03071-8","title":"Workplace neighbourhood built-environment attributes and sitting at work and for transport among Japanese desk-based workers","year":2022,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"National Health and Medical Research Council; Japan Society for the Promotion of Science; Canadian Institutes of Health Research; Medical Research Council; State Government of Victoria","keywords":"Sitting; Neighbourhood (mathematics); Desk; Walkability; Psychological intervention; Environmental health; Built environment; Work (physics); Cross-sectional study; Office workers; Psychology; Geography; Applied psychology; Medicine; Engineering; Operations management; Civil engineering; Mathematics","score_opus":0.021934005134655613,"score_gpt":0.25871797259517426,"score_spread":0.23678396746051866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206791892","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99557483,0.0005601264,0.00017538991,0.00082919106,0.0013488125,0.0009092672,0.00001611835,0.00008668755,0.00049956335],"genre_scores_gemma":[0.9919317,0.000002920276,0.00042766036,0.000038102,0.00006275878,0.00016216714,0.00009340399,0.000018994022,0.0072623086],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99699247,0.000110297355,0.0005066318,0.0010526212,0.0007631463,0.0005748157],"domain_scores_gemma":[0.9986666,0.00019937297,0.0003317978,0.0004677234,0.000042197076,0.00029233343],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00426456,0.00018666185,0.00025893285,0.000098062235,0.0032015012,0.00022952455,0.00019721038,0.0000764538,0.0005620526],"category_scores_gemma":[0.0000931942,0.00018850798,0.00012399988,0.00054380717,0.0010792266,0.0002713829,0.00008332875,0.00016633488,8.883454e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055596713,0.00007273498,0.9928331,0.000027395015,0.000013119267,0.00007039947,0.004762413,0.00031068843,0.00009941773,0.0000068873564,0.0010678397,0.00068042846],"study_design_scores_gemma":[0.00047672953,0.000044163386,0.95365393,0.000041972107,0.00010251198,0.0000044008893,0.004716459,0.0000799019,0.00023832083,0.0011186299,0.039074264,0.0004487069],"about_ca_topic_score_codex":0.00074839144,"about_ca_topic_score_gemma":0.0013625757,"teacher_disagreement_score":0.039179143,"about_ca_system_score_codex":0.00021764972,"about_ca_system_score_gemma":0.000177044,"threshold_uncertainty_score":0.99809617},"labels":[],"label_agreement":null},{"id":"W4206811882","doi":"10.31428/10317/10579","title":"Evaluating limiting factors for people with disabilities using mobility assistive technologies to enjoy National Parks: Comparative findings between Canada and Spain ","year":2022,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Limiting; Assistive technology; Computer science; Engineering; Human–computer interaction","score_opus":0.14115824185697973,"score_gpt":0.38245211574484184,"score_spread":0.2412938738878621,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206811882","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99693495,0.0000148310055,0.0007123976,0.0006395729,0.000042670617,0.00082195713,0.00032260228,0.00009244233,0.0004185648],"genre_scores_gemma":[0.99694914,1.4684278e-7,0.0027236592,0.00002914887,0.000029696388,0.00014624177,0.000034062206,0.0000059824165,0.0000819158],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99822986,0.00014692187,0.00023860167,0.00038846297,0.0006863825,0.0003097768],"domain_scores_gemma":[0.9971036,0.0024511814,0.00008714562,0.00008695372,0.00020479226,0.00006635692],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0014599044,0.00013084206,0.00026944748,0.00005186579,0.0019747298,0.000082226776,0.00020573186,0.00003381933,0.00008677772],"category_scores_gemma":[0.0011434017,0.00011115932,0.000032743086,0.00039596003,0.00026867178,0.00023421303,0.00009020683,0.00014384897,5.055005e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002156942,0.000021902964,0.9843901,0.00001659735,0.00002091601,8.03562e-8,0.014335812,0.0003883451,0.000021673026,0.0005085245,0.000034454057,0.00024004348],"study_design_scores_gemma":[0.00014540931,0.00010045221,0.7080253,0.000010206366,0.00002451094,5.555292e-8,0.28914016,0.00066448125,0.0002564642,0.0012977707,0.00014301937,0.00019221056],"about_ca_topic_score_codex":0.5213498,"about_ca_topic_score_gemma":0.9045397,"teacher_disagreement_score":0.3831899,"about_ca_system_score_codex":0.00091428566,"about_ca_system_score_gemma":0.0011367296,"threshold_uncertainty_score":0.99932456},"labels":[],"label_agreement":null},{"id":"W4206908413","doi":"10.3390/su14031211","title":"Coverage of Disabled People in Environmental-Education-Focused Academic Literature","year":2022,"lang":"en","type":"article","venue":"Sustainability","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Disabled people; Inclusion (mineral); Scopus; Equity (law); Environmental education; Diversity (politics); Psychology; Public relations; Lifelong learning; Pedagogy; Sociology; Political science; Social psychology; Applied psychology","score_opus":0.005714242264684648,"score_gpt":0.2801279180698006,"score_spread":0.27441367580511594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206908413","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99457103,0.00044453537,0.000006463507,0.001611885,0.00014889233,0.0006828138,0.000060138136,0.000024257646,0.002449974],"genre_scores_gemma":[0.998166,0.000034523546,0.000011625256,0.00006677107,0.000039731072,0.00012476889,0.000059149384,0.00000656494,0.001490819],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981124,0.00055949215,0.00032700336,0.0003151146,0.00039409276,0.00029193316],"domain_scores_gemma":[0.99931735,0.00013785393,0.000106972526,0.00029946666,0.00006113536,0.000077241224],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012857204,0.00009427599,0.00019039179,0.000078881836,0.00042089145,0.000017508179,0.00036043892,0.00008307809,0.0012672214],"category_scores_gemma":[0.00036812507,0.000101264166,0.000084116306,0.0007502215,0.00024764347,0.0003047386,0.0000821128,0.00053273403,9.907874e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053782373,0.0005006351,0.96084416,0.00007694547,0.000002482772,0.0000015063542,0.031411804,0.00004509918,0.000017211541,0.0037201436,0.000097823315,0.0032284094],"study_design_scores_gemma":[0.00023725949,0.000024110619,0.88571846,0.0000048405946,0.0000058824658,7.173603e-8,0.015880635,0.000005682049,0.000020582309,0.08960274,0.008394383,0.00010534688],"about_ca_topic_score_codex":0.0028524713,"about_ca_topic_score_gemma":0.001575297,"teacher_disagreement_score":0.08588259,"about_ca_system_score_codex":0.0016614834,"about_ca_system_score_gemma":0.001232943,"threshold_uncertainty_score":0.99964577},"labels":[],"label_agreement":null},{"id":"W4206928388","doi":"10.1051/e3sconf/202132901063/pdf","title":"Life Cycle Carbon Emission Analyzing of Rural Residential Energy Efficiency Retrofit-A Case Study of Gansu province","year":2021,"lang":"en","type":"article","venue":"Springer Link (Chiba Institute of Technology)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Retrofitting; Life-cycle assessment; Greenhouse gas; Efficient energy use; Environmental science; Quarter (Canadian coin); Sustainable development; Environmental economics; Engineering; Geography; Production (economics); Economics","score_opus":0.01294499198413711,"score_gpt":0.26908801203395444,"score_spread":0.2561430200498173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206928388","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968095,0.0005642321,0.00014319552,0.00040871114,0.00046994674,0.00023965076,0.0000046012697,0.00012369786,0.001236494],"genre_scores_gemma":[0.99929464,0.00005033678,0.00041519408,0.0000059011963,0.00010725669,0.0000072066387,0.000002939479,0.000012260119,0.00010426207],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99791086,0.00006888859,0.00082437845,0.00037693162,0.0004627644,0.0003561844],"domain_scores_gemma":[0.99847156,0.000021012876,0.00039587304,0.00066071545,0.0003328475,0.00011797138],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050463964,0.00017639261,0.0005217218,0.00037884232,0.00026621667,0.000015392365,0.0005609582,0.00032327772,0.000025722642],"category_scores_gemma":[0.0005097553,0.00016079581,0.00013734314,0.0011731498,0.0008647286,0.00022809858,0.00021712127,0.00029653,2.9808825e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007028396,0.0012736458,0.9032417,0.00020530584,0.00013184779,0.00068171695,0.0037709926,0.00017997768,0.07853217,0.0030409254,0.000007137705,0.008864298],"study_design_scores_gemma":[0.0033716054,0.0008680666,0.0435961,0.0007475015,0.0005867863,0.00003148084,0.038421188,0.00049307995,0.9070716,0.0021107418,0.0017284153,0.00097342604],"about_ca_topic_score_codex":0.021703182,"about_ca_topic_score_gemma":0.01907131,"teacher_disagreement_score":0.8596456,"about_ca_system_score_codex":0.000064096006,"about_ca_system_score_gemma":0.0008121704,"threshold_uncertainty_score":0.99882805},"labels":[],"label_agreement":null},{"id":"W4206986574","doi":"10.1177/03611981211067790","title":"COVID-19: Modeling Out-of-Home and In-Home Activity Participation during the Pandemic","year":2022,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Recreation; Duration (music); Multinomial logistic regression; Pandemic; Hazard; Work (physics); Travel behavior; Business; Coronavirus disease 2019 (COVID-19); Logit; Demographic economics; Marketing; Geography; Medicine; Economics; Transport engineering; Engineering; Statistics; Econometrics; Political science","score_opus":0.18530818612617644,"score_gpt":0.4557199172585233,"score_spread":0.27041173113234684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206986574","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99277884,0.000245304,0.0005068733,0.0049245055,0.00040087083,0.0009980418,0.00006508762,0.000021813243,0.000058667545],"genre_scores_gemma":[0.9985498,0.000825155,0.00006877629,0.000041689287,0.0001076664,0.00012780716,0.000006202854,0.000024245512,0.00024863926],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9906217,0.0031243372,0.0012021475,0.00038294695,0.003872775,0.00079611316],"domain_scores_gemma":[0.996444,0.0012672971,0.00045565216,0.00035315324,0.0009938063,0.00048608184],"candidate_categories":["sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.012666077,0.00016647496,0.0003897964,0.0007166873,0.0023658704,0.0000893807,0.001079496,0.00011468353,0.00050347124],"category_scores_gemma":[0.0004069659,0.00012394699,0.00024428862,0.0021720484,0.0010816808,0.0007575061,0.000016193242,0.002380842,0.0000012459357],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019243052,0.00023471068,0.95125014,0.00020463775,0.00004461505,0.000033606873,0.029103914,0.013369854,0.001799727,0.00050805043,0.000065768174,0.0014607044],"study_design_scores_gemma":[0.0012480718,0.00015580133,0.9799045,0.000057337882,0.000029362713,9.242311e-8,0.010572948,0.00063200184,0.00010272585,0.005686398,0.0014686713,0.00014209653],"about_ca_topic_score_codex":0.035026327,"about_ca_topic_score_gemma":0.34692517,"teacher_disagreement_score":0.31189886,"about_ca_system_score_codex":0.00069100154,"about_ca_system_score_gemma":0.0018844879,"threshold_uncertainty_score":0.9999207},"labels":[],"label_agreement":null},{"id":"W4207069339","doi":"10.24043/isj.268","title":"Accessibility of Peripheral Regions: Evidence from Aegean Islands (Greece)","year":2012,"lang":"en","type":"article","venue":"Island Studies Journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Destinations; Geography; Human settlement; Population; Small island; Capital city; Point (geometry); Order (exchange); Economic geography; Tourism; Business; Demography","score_opus":0.10739867317887118,"score_gpt":0.3921485092585727,"score_spread":0.2847498360797015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4207069339","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.964268,0.028842501,0.00043999674,0.00082387053,0.0010076386,0.00011629699,0.000017144477,0.00002509602,0.004459416],"genre_scores_gemma":[0.9937094,0.003862224,0.00032224692,0.000062587875,0.0014880269,0.000003791592,0.0000015366128,0.000007187221,0.0005430247],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978987,0.00031287083,0.0005316158,0.0002022668,0.0005772103,0.00047732168],"domain_scores_gemma":[0.99853146,0.00038550698,0.00033388424,0.00023439009,0.00031606245,0.00019872081],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019986155,0.0001527473,0.00040183993,0.000048488153,0.00088083657,0.00007668829,0.0004448945,0.0000906476,0.0006122718],"category_scores_gemma":[0.0006524208,0.00010918093,0.00019006748,0.00024179839,0.00059972657,0.0013086959,0.000058345755,0.0003063072,0.00000588038],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005663144,0.00008839137,0.9427963,0.00001664972,0.00010794867,0.0000043805594,0.052501544,6.431199e-7,0.000038795748,0.000078240424,0.0023484773,0.001962003],"study_design_scores_gemma":[0.00042850128,0.00004300348,0.9690726,0.00023359206,0.00010086925,0.0000021640888,0.018856877,0.000003994781,0.00009227076,0.0060077184,0.0049629137,0.00019552017],"about_ca_topic_score_codex":0.0007957934,"about_ca_topic_score_gemma":0.0055392184,"teacher_disagreement_score":0.033644665,"about_ca_system_score_codex":0.00014211128,"about_ca_system_score_gemma":0.00014746675,"threshold_uncertainty_score":0.6774772},"labels":[],"label_agreement":null},{"id":"W4207075550","doi":"10.1155/2022/3001392","title":"A Comparative Study of Passenger Multitasking Activities on Commuting and Leisure Electrified Intercity Railways","year":2022,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Ministry of Education, India; Southwest Jiaotong University; National Natural Science Foundation of China","keywords":"Transport engineering; Human multitasking; Line (geometry); Travel behavior; Engineering; Psychology; Mathematics","score_opus":0.034505304433147074,"score_gpt":0.33502569610107563,"score_spread":0.30052039166792854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4207075550","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990722,0.00010253773,0.0001328129,0.00006377442,0.00016101517,0.00026825126,0.000011652989,0.000010294067,0.00017747293],"genre_scores_gemma":[0.9996736,0.000015437112,0.00023411374,0.00001007681,0.000038281494,0.0000068569316,0.0000047720946,0.0000053842637,0.000011483757],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986221,0.0002245946,0.00045331795,0.000114006885,0.00046072566,0.00012521238],"domain_scores_gemma":[0.998954,0.00023101231,0.00058445876,0.00006402253,0.000121682766,0.000044822435],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006827838,0.00008661737,0.00032128696,0.00011545653,0.00044081407,0.000014956265,0.00013090015,0.000023296487,0.00003414857],"category_scores_gemma":[0.000017382288,0.00008254958,0.00006825562,0.0002545416,0.000076514116,0.00044434462,0.000002455155,0.0003699625,4.302068e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016542139,0.0014665609,0.53665006,0.000037711605,0.00012556401,0.000025269681,0.4322516,0.015202788,0.008245079,0.0003729815,0.000011146418,0.0039570252],"study_design_scores_gemma":[0.0014671468,0.00092424586,0.7787562,0.00003506669,0.00006078243,3.8632334e-7,0.21694098,0.000017061853,0.0012773164,0.00025917855,0.00016975813,0.00009185559],"about_ca_topic_score_codex":0.00019693874,"about_ca_topic_score_gemma":0.0037608335,"teacher_disagreement_score":0.24210615,"about_ca_system_score_codex":0.00007236434,"about_ca_system_score_gemma":0.00007072237,"threshold_uncertainty_score":0.339043},"labels":[],"label_agreement":null},{"id":"W4210264497","doi":"10.32920/19083371.v1","title":"Travel behaviour of Asian &amp; European immigrants in the Greater Toronto and Hamilton area","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University; University of Waterloo","funders":"","keywords":"Immigration; Ethnic group; Demographic economics; Population; Settlement (finance); Geography; Travel behavior; Demography; Sociology; Economics","score_opus":0.049545245097201665,"score_gpt":0.3091310544953624,"score_spread":0.2595858093981607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210264497","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.815458,0.00019162177,0.000020972446,0.0002703993,0.00013777445,0.00036692,0.000058621557,0.000019060537,0.18347664],"genre_scores_gemma":[0.9961562,0.000099152305,0.000075303135,0.000082298866,0.00005568396,0.000019728599,0.00005361863,0.0000112666685,0.003446706],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981485,0.0004922413,0.00034041985,0.00039013015,0.00040605353,0.00022264701],"domain_scores_gemma":[0.9993645,0.000028489778,0.00012079474,0.00040307472,0.000028441638,0.000054691092],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0016349922,0.00015867974,0.00025338744,0.00003378652,0.00018426123,0.000071506205,0.00068871153,0.00009644557,0.002005752],"category_scores_gemma":[0.000012217845,0.00011158776,0.000109683664,0.00007710329,0.00021457691,0.00010517517,0.00012098115,0.00033115537,0.0000017477968],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013925987,0.000111019144,0.87590754,0.000029261797,0.00000941557,0.00001145154,0.122272775,4.920881e-7,0.000014917148,0.00015056394,0.00019431411,0.0012843425],"study_design_scores_gemma":[0.00012755414,0.000011176245,0.97713727,0.000021673144,0.000029013227,1.5019542e-7,0.021217564,6.3357004e-7,0.0000051442307,0.00029316288,0.0010228194,0.00013386806],"about_ca_topic_score_codex":0.25865427,"about_ca_topic_score_gemma":0.5760318,"teacher_disagreement_score":0.3173775,"about_ca_system_score_codex":0.00008123004,"about_ca_system_score_gemma":0.00006875338,"threshold_uncertainty_score":0.99890655},"labels":[],"label_agreement":null},{"id":"W4210305095","doi":"10.5198/jtlu.2022.2012","title":"Calculating place-based transit accessibility: Methods, tools and algorithmic dependence","year":2022,"lang":"en","type":"article","venue":"Journal of Transport and Land Use","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Python (programming language); Computer science; Transport engineering; Cluster analysis; Public transport; Computation; Transportation planning; Software; Transit (satellite); Range (aeronautics); Land use; Scale (ratio); Regional planning; Data mining; Urban planning; Geography; Engineering; Civil engineering; Algorithm; Cartography; Machine learning; Programming language","score_opus":0.056603553865236585,"score_gpt":0.3482531753101004,"score_spread":0.29164962144486384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210305095","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9899551,0.0008612029,0.00792505,0.0006931134,0.00019337966,0.00017676193,0.000059085498,0.000019330264,0.00011695364],"genre_scores_gemma":[0.9919081,0.00008128271,0.0076052444,0.00015788093,0.00014053656,0.0000043794425,0.000008453274,0.000010004377,0.000084122985],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982009,0.00029082777,0.00053038704,0.00022944847,0.0004950183,0.00025345074],"domain_scores_gemma":[0.998992,0.00033374818,0.000250364,0.00011100269,0.0000920939,0.00022076908],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026893578,0.00013461019,0.00035338502,0.00010454063,0.00071759237,0.000121265664,0.00022473047,0.00007068987,0.00025920637],"category_scores_gemma":[0.000051250645,0.00011196882,0.00013729109,0.0002311112,0.00017154154,0.0008863987,0.000009587675,0.0004276556,8.092626e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023821302,0.000088196946,0.9792102,0.000041761217,0.000032585016,0.000105038394,0.003788947,0.00018034824,0.0001675999,0.000037747614,0.000012670583,0.016096689],"study_design_scores_gemma":[0.0014416188,0.00013998928,0.98276174,0.000040623017,0.00019028634,0.000015128306,0.0013858072,0.00041742285,0.000112346665,0.00046884967,0.01279405,0.00023215586],"about_ca_topic_score_codex":0.0009070706,"about_ca_topic_score_gemma":0.0011287098,"teacher_disagreement_score":0.015864534,"about_ca_system_score_codex":0.000046798323,"about_ca_system_score_gemma":0.00029467436,"threshold_uncertainty_score":0.5519213},"labels":[],"label_agreement":null},{"id":"W4210354159","doi":"10.24043/isj.308","title":"Development of a behavioural framework for analyzing employment mobility decisions in island areas: the case of the Aegean Islands, Greece","year":2014,"lang":"en","type":"article","venue":"Island Studies Journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Relocation; Sample (material); Geography; Business; Regional science; Computer science","score_opus":0.0856660591961075,"score_gpt":0.3680586150229304,"score_spread":0.28239255582682293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210354159","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9938138,0.0007647361,0.0040321336,0.0005896249,0.0002793247,0.0003272773,0.0000239715,0.0000041304224,0.00016499485],"genre_scores_gemma":[0.9981955,0.00011509502,0.0014978192,0.000025522148,0.00010098742,0.000017936936,6.935476e-7,0.0000052574514,0.000041172272],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983083,0.00023946885,0.0006971376,0.00016525702,0.00030672704,0.00028313595],"domain_scores_gemma":[0.9981328,0.0009627639,0.00036409745,0.0002280215,0.00025685842,0.000055426397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030726453,0.0001232267,0.00034268075,0.000053607295,0.0012032823,0.000036066183,0.00037944855,0.00006705949,0.000021936206],"category_scores_gemma":[0.0008998182,0.0000617285,0.00018186259,0.00029300278,0.0003745487,0.00009149015,0.00006746859,0.00028064713,1.8987936e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054506523,0.000132447,0.92745215,0.000013259499,0.000085698295,0.0000073502906,0.061218217,0.000015981643,0.0000047120834,0.00038318746,0.00012383856,0.010508673],"study_design_scores_gemma":[0.00106605,0.00007811909,0.917101,0.0004339687,0.00015479738,0.000020759308,0.04299908,0.000041471474,0.0001223068,0.036026888,0.0017563882,0.00019914417],"about_ca_topic_score_codex":0.00045457057,"about_ca_topic_score_gemma":0.19505693,"teacher_disagreement_score":0.19460236,"about_ca_system_score_codex":0.0000883247,"about_ca_system_score_gemma":0.00016488554,"threshold_uncertainty_score":0.92547965},"labels":[],"label_agreement":null},{"id":"W4210388482","doi":"10.1007/s11146-022-09889-x","title":"Does Bike Sharing increase House Prices? Evidence from Micro-level Data and the Impact of COVID-19","year":2022,"lang":"en","type":"article","venue":"The Journal of Real Estate Finance and Economics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"ShanghaiTech University; University of British Columbia; Science and Technology Commission of Shanghai Municipality; Shanghai Education Development Foundation; National Natural Science Foundation of China; Shanghai Municipal Education Commission; Central University of Finance and Economics; University of International Business and Economics","keywords":"Coronavirus disease 2019 (COVID-19); Breakout; Business; Space (punctuation); Bike sharing; Advertising; Demographic economics; Economics; Computer science; Transport engineering; Engineering; Medicine; Finance","score_opus":0.07680799227501237,"score_gpt":0.3350950966412941,"score_spread":0.2582871043662818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210388482","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99710417,0.00068573694,0.000031604446,0.0015118106,0.00008226988,0.000114369774,0.00039675593,0.000004259273,0.000069046175],"genre_scores_gemma":[0.92078817,0.07891453,0.00012314944,0.00007121418,0.000061050516,9.904692e-7,0.0000035164846,0.0000058400037,0.000031522417],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991189,0.00014070956,0.00036682675,0.00014115481,0.0000867871,0.00014561233],"domain_scores_gemma":[0.9981924,0.0007087097,0.000679437,0.00030928876,0.000024649706,0.000085497246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035392675,0.00008087822,0.00024257459,0.000029604713,0.00055545685,0.00006766784,0.000906215,0.000021485115,0.00003261545],"category_scores_gemma":[0.00014600663,0.0000387925,0.00005554036,0.00008050831,0.00050496554,0.00068902195,0.00026659205,0.00020327313,2.3098445e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022659749,0.000056501027,0.93496776,0.00002623565,0.00009969678,0.000011249267,0.051081434,0.0021248523,0.0000684307,0.00016025706,0.00029590973,0.008841691],"study_design_scores_gemma":[0.0019349515,0.000156675,0.966528,0.000056641988,0.00019352179,0.000014887946,0.011374288,0.0027732076,0.000036815603,0.012629088,0.0040822797,0.00021966394],"about_ca_topic_score_codex":0.11512457,"about_ca_topic_score_gemma":0.009371505,"teacher_disagreement_score":0.105753064,"about_ca_system_score_codex":0.00009804224,"about_ca_system_score_gemma":0.0005396848,"threshold_uncertainty_score":0.8907679},"labels":[],"label_agreement":null},{"id":"W4210393289","doi":"10.1049/pbtr020e_ch1","title":"Introduction","year":2021,"lang":"en","type":"book-chapter","venue":"Institution of Engineering and Technology eBooks","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Declaration; Scope (computer science); Equity (law); Corporate governance; Sustainability; Business; Environmental planning; Context (archaeology); Political science; Public administration; Engineering; Finance; Geography; Computer science; Law","score_opus":0.01028533889408422,"score_gpt":0.2219275399708877,"score_spread":0.21164220107680348,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210393289","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020460073,0.00220778,0.001207431,0.001309771,0.0013145409,0.00024231091,0.000014604755,0.0006075383,0.9726359],"genre_scores_gemma":[0.7399761,0.0001677749,0.00056594436,0.0000060872467,0.0005567764,0.000006698033,0.000013903275,0.000015012055,0.25869173],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994096,0.0000024138087,0.00017778123,0.00020280319,0.00010210989,0.00010527553],"domain_scores_gemma":[0.9996263,0.000008457704,0.00007062644,0.00016075138,0.00010403666,0.000029873108],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010790513,0.00010795926,0.0001958859,0.0002273436,0.00010530615,0.000009611516,0.00008769643,0.00048375886,0.00006416655],"category_scores_gemma":[0.00004398147,0.000120437544,0.000038955386,0.000034006393,0.00055653974,0.000035241592,0.000020910751,0.0002646812,0.0000022408403],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000016392771,0.0000032444307,0.000081098005,0.000042087715,0.00002428257,0.00000744905,0.00006297891,0.0000075565854,0.00027255464,0.99025464,0.00005399454,0.009188481],"study_design_scores_gemma":[0.00009228354,0.000021172547,0.00004442598,0.00013614762,0.00004332306,0.0000029791904,0.000035524674,0.000008069287,0.0012148602,0.010567102,0.98766494,0.0001691807],"about_ca_topic_score_codex":0.000031430925,"about_ca_topic_score_gemma":0.00009115381,"teacher_disagreement_score":0.98761094,"about_ca_system_score_codex":0.00003846354,"about_ca_system_score_gemma":0.00012059553,"threshold_uncertainty_score":0.49113005},"labels":[],"label_agreement":null},{"id":"W4210444293","doi":"10.1111/cag.12744","title":"A comparison of young and older adults’ attitudes and preferences towards different travel modes and residential characteristics: A study in Hamilton, Ontario","year":2022,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Preference; Travel behavior; Mode choice; Psychology; Exploratory research; Sustainable transport; Demographic economics; Geography; Social psychology; Public transport; Sociology; Transport engineering; Engineering; Economics; Sustainability","score_opus":0.017716380892286773,"score_gpt":0.2555961855812687,"score_spread":0.2378798046889819,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210444293","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99616295,0.0021761407,4.0621384e-7,0.00011777891,0.00017528694,0.000844966,0.0001964151,0.000020528809,0.00030554776],"genre_scores_gemma":[0.9991483,0.00052235136,0.00001425773,0.000025002304,0.00002956373,0.00014499523,0.000032140033,0.0000152536,0.000068136906],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997616,0.00020723304,0.00053177436,0.0006110175,0.0003623886,0.0006716228],"domain_scores_gemma":[0.9988657,0.00007691976,0.00016786877,0.00021936915,0.00008880969,0.00058128324],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00042824686,0.00029089279,0.00062367565,0.0017287831,0.0011535868,0.00015664368,0.00031481896,0.00009206871,0.00009474299],"category_scores_gemma":[0.000029130757,0.00029855288,0.00007509742,0.0011798367,0.0018164879,0.00025373403,0.000070794486,0.00032570778,3.501728e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006403749,0.00013511565,0.8704565,0.00007424428,0.00006781336,0.000021620584,0.12632039,4.0580082e-7,0.000003725436,0.0003440723,0.000023405219,0.0024886236],"study_design_scores_gemma":[0.00049982656,0.00021348111,0.8106622,0.00005359695,0.000057568184,0.0000015860946,0.18792386,0.000006688567,0.0000021092685,0.00022426205,0.00009038035,0.00026440667],"about_ca_topic_score_codex":0.9925667,"about_ca_topic_score_gemma":0.99997103,"teacher_disagreement_score":0.061603475,"about_ca_system_score_codex":0.00012743304,"about_ca_system_score_gemma":0.00031651923,"threshold_uncertainty_score":0.99994665},"labels":[],"label_agreement":null},{"id":"W4210451553","doi":"10.1016/j.jaging.2022.101002","title":"The complex nature of transportation as a key determinant of health in primary and community care restructuring initiatives in rural Canada","year":2022,"lang":"en","type":"article","venue":"Journal of Aging Studies","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Thompson Rivers University; University of Windsor","funders":"Thompson Rivers University","keywords":"Restructuring; Health care; Focus group; Service provider; Rural area; Qualitative research; Aging in place; Service (business); Economic growth; Business; Medicine; Gerontology; Sociology; Marketing; Economics","score_opus":0.029209815711637065,"score_gpt":0.34442708882065226,"score_spread":0.3152172731090152,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210451553","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98800856,0.01062524,2.0735965e-7,0.0011255123,0.000084781255,0.0000698973,0.000017759321,8.9268997e-7,0.00006715822],"genre_scores_gemma":[0.99914336,0.00074879586,0.000038154572,0.000054273878,0.00000921643,0.0000010125954,0.0000017663657,0.0000017756587,0.0000016165045],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99868333,0.00051043817,0.00042503388,0.000034040313,0.00024702528,0.00010013794],"domain_scores_gemma":[0.99910164,0.00031402777,0.00042802084,0.000043725704,0.00009701109,0.000015604523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011952575,0.000045363668,0.00025020665,0.00005268638,0.0006458783,0.000004729336,0.0001421842,0.0000115848,0.0000010448325],"category_scores_gemma":[0.00006066172,0.000033141037,0.000025112065,0.00015369202,0.00019229176,0.0001069069,0.000016425232,0.00049616856,5.8153843e-10],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003080744,0.000015537194,0.7855385,0.000120980316,0.000016418751,0.000006472201,0.21220037,0.000034011908,0.00001851865,0.000042530908,0.000008601108,0.0019672734],"study_design_scores_gemma":[0.0001644677,0.000043689448,0.71060115,0.0000985069,0.0000042080023,3.7465787e-7,0.28868395,4.3135867e-7,0.000022978636,0.00030543804,0.00005406939,0.000020765594],"about_ca_topic_score_codex":0.32222146,"about_ca_topic_score_gemma":0.91329134,"teacher_disagreement_score":0.5910699,"about_ca_system_score_codex":0.00026426694,"about_ca_system_score_gemma":0.00057625497,"threshold_uncertainty_score":0.6822919},"labels":[],"label_agreement":null},{"id":"W4210500865","doi":"10.5198/jtlu.2022.2103","title":"Modal equity of accessibility to healthcare in Recife, Brazil","year":2022,"lang":"en","type":"article","venue":"Journal of Transport and Land Use","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Polytechnique Montréal","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Equity (law); Public transport; Business; Universal design; Health equity; Health care; Population; Psychological intervention; Public economics; Public health; Geography; Economic growth; Transport engineering; Environmental health; Economics; Medicine; Political science; Engineering","score_opus":0.05929921298064973,"score_gpt":0.3766610013762876,"score_spread":0.3173617883956379,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210500865","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99694896,0.00034962498,0.000041905263,0.0018918472,0.00023292698,0.00016082752,0.00006260407,0.0000062327754,0.00030507724],"genre_scores_gemma":[0.99934655,0.000112046044,0.00016379484,0.00019228696,0.00008217538,0.0000027250983,0.000004161973,0.0000053357267,0.000090919995],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982862,0.00013740793,0.0006435607,0.00015837826,0.0005487858,0.00022568413],"domain_scores_gemma":[0.9992411,0.00006863863,0.00023630123,0.000119033335,0.00011857653,0.00021636204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020753236,0.00008409703,0.0003449179,0.00014229458,0.00021580422,0.000021082746,0.00030295615,0.000052663912,0.0002283964],"category_scores_gemma":[0.000034990127,0.00007136704,0.00011207858,0.0004038985,0.00008958859,0.00045586817,0.000025581337,0.00032503536,1.17281466e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00049858826,0.0001833762,0.99066174,0.00004617382,0.00000918984,0.00003998745,0.0058043767,0.0000479547,0.000038114926,0.0001046725,0.0000621087,0.0025037285],"study_design_scores_gemma":[0.00055440166,0.00015551482,0.9925036,0.00002893156,0.000018019227,0.0000013866771,0.0007816557,0.0000026789962,0.000026939591,0.0009589159,0.004886309,0.00008167075],"about_ca_topic_score_codex":0.007007435,"about_ca_topic_score_gemma":0.026481017,"teacher_disagreement_score":0.019473583,"about_ca_system_score_codex":0.00008306552,"about_ca_system_score_gemma":0.00034199943,"threshold_uncertainty_score":0.999605},"labels":[],"label_agreement":null},{"id":"W4210551051","doi":"10.1111/tesg.12509","title":"Polarized Paths: ‘Selling’ Cycling in City and Suburb","year":2022,"lang":"en","type":"article","venue":"Tijdschrift voor Economische en Sociale Geografie","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Canada Research Chairs","keywords":"Cycling; Recreation; Real estate; Gentrification; Business; Demographics; Consumption (sociology); Marketing; Economic growth; Geography; Finance; Sociology; Economics; Political science","score_opus":0.017803681867767138,"score_gpt":0.27375154715654243,"score_spread":0.2559478652887753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210551051","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9750267,0.0008833063,0.000041235828,0.001383675,0.0004560223,0.00048458372,0.00005638835,0.00014280275,0.021525241],"genre_scores_gemma":[0.99707896,0.00014558423,0.00026634443,0.00031895709,0.00046245343,0.00009306458,0.00003527247,0.000025678964,0.0015737074],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974361,0.00046654904,0.0005505383,0.00059706543,0.00027563103,0.0006741144],"domain_scores_gemma":[0.99897957,0.0003332785,0.00020425403,0.00024275853,0.00003860059,0.00020154168],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0031901542,0.00021542357,0.0004496588,0.00015445659,0.0014841268,0.00015891546,0.00049071846,0.0001990621,0.0023484402],"category_scores_gemma":[0.0001418227,0.00026661067,0.00017500702,0.00040120803,0.00036750844,0.00044927845,0.00015680162,0.00073161686,0.000023077495],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006857745,0.00017318166,0.97727543,0.00001700582,0.00003571705,0.00001590784,0.0137357665,0.000015711688,0.00016575652,0.0044250516,0.00012934908,0.0039425683],"study_design_scores_gemma":[0.004467642,0.00011106647,0.64403564,0.00002592111,0.00010617815,0.000001603709,0.025197318,0.00028907167,0.0001454185,0.01609471,0.30815226,0.0013731704],"about_ca_topic_score_codex":0.016768623,"about_ca_topic_score_gemma":0.014725263,"teacher_disagreement_score":0.33323976,"about_ca_system_score_codex":0.00017400672,"about_ca_system_score_gemma":0.0004520871,"threshold_uncertainty_score":0.9999786},"labels":[],"label_agreement":null},{"id":"W4210600384","doi":"10.1049/pbtr020e_literature","title":"Literature for further readings","year":2021,"lang":"en","type":"book-chapter","venue":"Institution of Engineering and Technology eBooks","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Declaration; Equity (law); Sustainability; Business; Environmental planning; Urban planning; Social equality; Finance; Political science; Engineering; Geography; Civil engineering","score_opus":0.01229819503270362,"score_gpt":0.2339962927270674,"score_spread":0.22169809769436377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210600384","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01605795,0.00998242,0.0060188915,0.0011057375,0.0012217037,0.00092679553,0.00016191702,0.0008914528,0.9636331],"genre_scores_gemma":[0.76980716,0.00017977397,0.0016940242,0.000016278518,0.00019943187,0.000026689859,0.00003245454,0.000025270294,0.22801894],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99939007,0.0000016991132,0.00017827927,0.00021389546,0.000082643906,0.00013339045],"domain_scores_gemma":[0.9995684,0.00002266142,0.00007600513,0.00014006191,0.00015869392,0.000034173325],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011402711,0.00013483017,0.0002348566,0.00021839139,0.00010514275,0.000019760644,0.00011414302,0.0007143791,0.000013266609],"category_scores_gemma":[0.000054027907,0.00013934971,0.000067947316,0.000036913796,0.00040270603,0.000038775263,0.000017237013,0.00024660028,5.204257e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003411357,0.000003227921,0.00009454382,0.00011948282,0.00003409478,0.0000072001176,0.00039100836,0.0000017326844,0.00027481135,0.9929793,0.000027740913,0.0060634376],"study_design_scores_gemma":[0.00024086569,0.000039355564,0.000026488884,0.0010173032,0.000072315524,0.0000029552148,0.00007082112,0.000016608034,0.0014666867,0.039193172,0.95756584,0.0002876037],"about_ca_topic_score_codex":0.000012452438,"about_ca_topic_score_gemma":0.00006081416,"teacher_disagreement_score":0.95753807,"about_ca_system_score_codex":0.000028997829,"about_ca_system_score_gemma":0.00010363001,"threshold_uncertainty_score":0.5682516},"labels":[],"label_agreement":null},{"id":"W4210626603","doi":"10.5198/jtlu.2022.1879","title":"Whose express access? Assessing the equity implications of bus express routes in Montreal, Canada","year":2022,"lang":"en","type":"article","venue":"Journal of Transport and Land Use","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"Temple University; Natural Sciences and Engineering Research Council of Canada; University of South Florida","keywords":"Equity (law); Transport engineering; Bus rapid transit; Public transport; Business; Planner; Level of service; Population; Computer science; Engineering","score_opus":0.051845586267305385,"score_gpt":0.3425359504910504,"score_spread":0.290690364223745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210626603","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970721,0.00064782373,0.00007755037,0.0014014995,0.00014451808,0.00011577032,0.00007614563,0.0000036848598,0.00046093407],"genre_scores_gemma":[0.9995228,0.00018307177,0.000030127487,0.00009238239,0.00006980254,0.0000061678857,0.000006228954,0.0000048048946,0.00008461297],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99869585,0.00010362039,0.00047906267,0.00011063409,0.00042203572,0.00018877038],"domain_scores_gemma":[0.99917144,0.00017558642,0.00032660627,0.00013360436,0.00009732995,0.000095445735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084071513,0.000080117155,0.0002337668,0.00005738736,0.00044008563,0.000085870124,0.0004958218,0.000030811236,0.00011636632],"category_scores_gemma":[0.000022137638,0.000055750676,0.00007346064,0.00023899242,0.000108831606,0.0007921583,0.000028598537,0.0002625186,1.2384047e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037452533,0.00009245437,0.9950339,0.000015493886,0.000015817028,0.000023145692,0.0029823957,0.0002236306,0.0001044077,0.00003771346,0.00030303217,0.0011305375],"study_design_scores_gemma":[0.00033752667,0.0000148976915,0.9891126,0.000024486191,0.000043599877,0.0000017525235,0.001654572,0.0000064514707,0.0000351346,0.0004974209,0.008201993,0.00006952023],"about_ca_topic_score_codex":0.6865051,"about_ca_topic_score_gemma":0.89419,"teacher_disagreement_score":0.20768493,"about_ca_system_score_codex":0.00007002448,"about_ca_system_score_gemma":0.00059338793,"threshold_uncertainty_score":0.33848274},"labels":[],"label_agreement":null},{"id":"W4210667022","doi":"10.4236/jss.2022.101028","title":"Effects of School Proximity on Students’ Performance in Mathematics","year":2022,"lang":"en","type":"article","venue":"Open Journal of Social Sciences","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mathematics education; Simple random sample; Government (linguistics); Quarter (Canadian coin); Descriptive statistics; Psychology; Mathematics; Geography; Sociology; Statistics; Population","score_opus":0.046921257671741726,"score_gpt":0.3791703270352498,"score_spread":0.33224906936350806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210667022","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97862315,0.00004128889,0.000002764148,0.0005122808,0.00023213346,0.000323027,0.0000013250799,0.0000024003327,0.020261632],"genre_scores_gemma":[0.9992758,0.000017990134,0.0002278245,0.00006263687,0.00008074975,0.000008260843,8.8836615e-8,0.0000024573492,0.00032421201],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976896,0.0002385,0.00039854154,0.00011391839,0.0013559463,0.00020351604],"domain_scores_gemma":[0.9991915,0.00013695523,0.0004934649,0.000044625354,0.00007300624,0.000060431656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0054488215,0.00006177122,0.00024513452,0.00010121597,0.0011381572,0.00013910134,0.0019676418,0.000025876418,0.00033625445],"category_scores_gemma":[0.00017131561,0.000050068407,0.00006831456,0.0008138228,0.00045836507,0.0008369798,0.00015359603,0.00025451966,0.0000017553785],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000071026734,0.0009968227,0.96699446,0.000049035767,0.0000118647995,0.000011522117,0.02533592,0.000042688127,0.00017466277,0.0043716184,0.00016306304,0.0017773297],"study_design_scores_gemma":[0.0006136646,0.00045502096,0.9804205,0.00006693169,0.0000139781005,4.6931865e-7,0.012705173,0.00000662024,0.00040052907,0.0040392554,0.0011810601,0.00009680524],"about_ca_topic_score_codex":0.0002930755,"about_ca_topic_score_gemma":0.00016756634,"teacher_disagreement_score":0.020652631,"about_ca_system_score_codex":0.00015472485,"about_ca_system_score_gemma":0.00057652243,"threshold_uncertainty_score":0.87539005},"labels":[],"label_agreement":null},{"id":"W4210754377","doi":"10.3390/s22031060","title":"Bike-Sharing Demand Prediction at Community Level under COVID-19 Using Deep Learning","year":2022,"lang":"en","type":"article","venue":"Sensors","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal","funders":"Canada Research Chairs","keywords":"Autoregressive integrated moving average; Bike sharing; Computer science; Benchmark (surveying); Demand forecasting; Deep learning; TRIPS architecture; Demand patterns; Artificial intelligence; Coronavirus disease 2019 (COVID-19); Set (abstract data type); Machine learning; Operations research; Time series; Demand management; Transport engineering; Engineering; Geography","score_opus":0.15406279201127987,"score_gpt":0.3563155326095609,"score_spread":0.20225274059828102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210754377","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952724,0.00007518363,0.0010297433,0.0002625974,0.00026856217,0.00015837066,0.000022824493,0.00017844833,0.00273186],"genre_scores_gemma":[0.9973371,0.000008089141,0.00009773,0.0002252377,0.00009365513,0.000005323096,0.000035835794,0.000012790664,0.0021842076],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981129,0.0007747282,0.00019636638,0.00021539524,0.0004032322,0.00029738786],"domain_scores_gemma":[0.9993153,0.00017750022,0.000104370185,0.00019762962,0.000031981817,0.00017320676],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0017305932,0.00009372019,0.00012693249,0.00007215521,0.007151808,0.000052936706,0.00027255074,0.000060198803,0.0010785494],"category_scores_gemma":[0.00017486485,0.00010569365,0.00007173092,0.00035539892,0.00020873436,0.00015261403,0.00016845869,0.00056953577,0.0000064439323],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030130097,0.000050394337,0.85472697,0.000019468873,0.000016602542,0.000005765218,0.028011255,0.1164052,0.000332022,0.00019178423,0.00003476908,0.00017566468],"study_design_scores_gemma":[0.00127464,0.00010437126,0.7613087,0.000019729723,0.00013712043,0.000008259253,0.14532763,0.04197415,0.00020117911,0.006169696,0.042817883,0.00065660046],"about_ca_topic_score_codex":0.019756107,"about_ca_topic_score_gemma":0.015840508,"teacher_disagreement_score":0.11731637,"about_ca_system_score_codex":0.00090843684,"about_ca_system_score_gemma":0.00012047342,"threshold_uncertainty_score":0.9998346},"labels":[],"label_agreement":null},{"id":"W4210765166","doi":"10.32920/19083371","title":"Travel behaviour of Asian &amp; European immigrants in the Greater Toronto and Hamilton area","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University; University of Waterloo","funders":"","keywords":"Immigration; Ethnic group; Population; Demographic economics; Settlement (finance); Geography; Travel behavior; Demography; Sociology; Business; Economics; Engineering; Transport engineering","score_opus":0.049545245097201665,"score_gpt":0.3091310544953624,"score_spread":0.2595858093981607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210765166","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.815458,0.00019162177,0.000020972446,0.0002703993,0.00013777445,0.00036692,0.000058621557,0.000019060537,0.18347664],"genre_scores_gemma":[0.9961562,0.000099152305,0.000075303135,0.000082298866,0.00005568396,0.000019728599,0.00005361863,0.0000112666685,0.003446706],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981485,0.0004922413,0.00034041985,0.00039013015,0.00040605353,0.00022264701],"domain_scores_gemma":[0.9993645,0.000028489778,0.00012079474,0.00040307472,0.000028441638,0.000054691092],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0016349922,0.00015867974,0.00025338744,0.00003378652,0.00018426123,0.000071506205,0.00068871153,0.00009644557,0.002005752],"category_scores_gemma":[0.000012217845,0.00011158776,0.000109683664,0.00007710329,0.00021457691,0.00010517517,0.00012098115,0.00033115537,0.0000017477968],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013925987,0.000111019144,0.87590754,0.000029261797,0.00000941557,0.00001145154,0.122272775,4.920881e-7,0.000014917148,0.00015056394,0.00019431411,0.0012843425],"study_design_scores_gemma":[0.00012755414,0.000011176245,0.97713727,0.000021673144,0.000029013227,1.5019542e-7,0.021217564,6.3357004e-7,0.0000051442307,0.00029316288,0.0010228194,0.00013386806],"about_ca_topic_score_codex":0.25865427,"about_ca_topic_score_gemma":0.5760318,"teacher_disagreement_score":0.3173775,"about_ca_system_score_codex":0.00008123004,"about_ca_system_score_gemma":0.00006875338,"threshold_uncertainty_score":0.99890655},"labels":[],"label_agreement":null},{"id":"W4210768488","doi":"10.32920/19083410.v1","title":"Shared electric bicycles: who are the potential users? An examination of survey results from urban and suburban neighbourhoods in the Greater Golden Horseshoe area","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"TRIPS architecture; Respondent; Cycling; Destinations; Work (physics); Geography; Transport engineering; Business; Socioeconomics; Marketing; Engineering; Sociology; Political science","score_opus":0.053774648814068224,"score_gpt":0.28994369371787215,"score_spread":0.23616904490380392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210768488","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9929303,0.00030455034,0.000023746736,0.00050358876,0.00021508837,0.0009691863,0.0018108576,0.00005013747,0.0031925675],"genre_scores_gemma":[0.9974053,0.000087884175,0.000016434333,0.00008742197,0.00021139462,0.000060235714,0.001706193,0.000020820366,0.00040431297],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9942208,0.0028621657,0.0007047335,0.0008960833,0.0009283166,0.00038790534],"domain_scores_gemma":[0.99778914,0.0005147015,0.0005337893,0.0009064525,0.00016586717,0.000090047404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0052533154,0.0003069621,0.00048598417,0.00019749557,0.0004916161,0.00042598086,0.0015663544,0.000329778,0.00045583292],"category_scores_gemma":[0.00030993638,0.00019640321,0.00013751285,0.0007709278,0.00029802741,0.00037437517,0.00023637545,0.0007994419,8.079865e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015824569,0.00015293343,0.9654999,0.000018650026,0.000042528547,0.00001130798,0.032689918,0.000042950676,0.000029419205,0.00006403335,0.0004915732,0.0007985577],"study_design_scores_gemma":[0.00043554747,0.000044121298,0.9863286,0.0000377283,0.00006709812,9.128257e-8,0.011363599,0.00041914821,0.000029842531,0.00095499324,0.000067160414,0.0002520564],"about_ca_topic_score_codex":0.1591925,"about_ca_topic_score_gemma":0.13323873,"teacher_disagreement_score":0.025953766,"about_ca_system_score_codex":0.0001390494,"about_ca_system_score_gemma":0.00022420641,"threshold_uncertainty_score":0.8825774},"labels":[],"label_agreement":null},{"id":"W4210782902","doi":"10.1080/17538947.2021.2014578","title":"Evaluating spatial accessibility to healthcare services from the lens of emergency hospital visits based on floating car data","year":2022,"lang":"en","type":"article","venue":"International Journal of Digital Earth","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"National Natural Science Foundation of China","keywords":"Float (project management); Medical emergency; Public hospital; Geography; Service (business); Health care; Business; Transport engineering; Medicine; Nursing; Marketing; Engineering; Political science","score_opus":0.09211304052359232,"score_gpt":0.4072383460213989,"score_spread":0.3151253054978066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210782902","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9889481,0.00008436332,0.00025406826,0.0065969327,0.0018206552,0.00017437237,0.0014982844,0.000009997202,0.0006132321],"genre_scores_gemma":[0.99853516,0.0000038840176,0.00024003572,0.0002877375,0.0007700579,0.0000016103086,0.00013414475,0.00000777377,0.000019580544],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9967766,0.00019242217,0.0006688876,0.0002503295,0.0019473531,0.00016443907],"domain_scores_gemma":[0.9980528,0.00025249794,0.00063974556,0.0003082354,0.0006526496,0.0000940739],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013126201,0.00009903558,0.0001740898,0.000067226836,0.00031741944,0.00015496278,0.0020850513,0.000026050142,0.00056678196],"category_scores_gemma":[0.000492076,0.00007822058,0.00012639324,0.00020781615,0.00004047733,0.0010881232,0.00027530632,0.00026346953,0.0000029193272],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021916103,0.00026696827,0.9635558,0.000008713181,0.00006500457,0.000009498622,0.005229286,0.0015127339,0.000085797124,0.00006035715,0.00006548559,0.028921176],"study_design_scores_gemma":[0.0006238205,0.00057176774,0.9855817,0.00010971655,0.000031652544,3.7928152e-7,0.0052504726,0.003464587,0.000121658246,0.0014663611,0.0025997139,0.00017820434],"about_ca_topic_score_codex":0.004318546,"about_ca_topic_score_gemma":0.0033301064,"teacher_disagreement_score":0.02874297,"about_ca_system_score_codex":0.000086815206,"about_ca_system_score_gemma":0.00043347655,"threshold_uncertainty_score":0.6528378},"labels":[],"label_agreement":null},{"id":"W4210786859","doi":"10.1136/bmjopen-2021-056383","title":"Active travel behaviour in the family environment: protocol for the mixed-methods cross-sectional ARRIVE study","year":2022,"lang":"en","type":"article","venue":"BMJ Open","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Deutsche Forschungsgemeinschaft; Friedrich-Alexander-Universität Erlangen-Nürnberg","keywords":"Medicine; Cross-sectional study; Protocol (science); Public health; Environmental health; Family medicine; Alternative medicine; Nursing; Pathology","score_opus":0.1727036631400882,"score_gpt":0.5276132086572123,"score_spread":0.35490954551712406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210786859","genre_codex":"protocol","genre_gemma":"protocol","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"protocol","genre_consensus":"protocol","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33338064,0.0000023048385,0.0005424487,0.00045331576,0.00018208117,0.65973717,0.00011732477,0.000009763156,0.0055749305],"genre_scores_gemma":[0.46722275,4.5737956e-8,0.0002038488,0.00011058123,0.000069480884,0.53176105,0.000004141972,0.0000049902656,0.0006231168],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974632,0.0011740868,0.00028100848,0.00031633934,0.00054020603,0.00022512337],"domain_scores_gemma":[0.999016,0.0004892335,0.00014150137,0.0003025423,0.000020982692,0.000029736708],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.008355309,0.000092999886,0.00013088665,0.00002160335,0.002004332,0.00027057223,0.0015720313,0.000034028824,0.00072598475],"category_scores_gemma":[0.00006308849,0.00005795728,0.00008439554,0.0001894529,0.00020618485,0.0002597919,0.00022124883,0.00025053613,0.000003277982],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044859684,0.0007960392,0.96596736,0.0000037187635,0.000017416203,0.0000031871878,0.02900052,0.000052422893,0.000016296495,0.00032390573,0.00028826724,0.0030822586],"study_design_scores_gemma":[0.0010282727,0.00014595271,0.910716,0.0000014173455,0.0000101820915,1.9541045e-7,0.07552538,0.000013685492,0.000017519647,0.0012699548,0.011182713,0.000088757915],"about_ca_topic_score_codex":0.006744815,"about_ca_topic_score_gemma":0.0037865408,"teacher_disagreement_score":0.13384213,"about_ca_system_score_codex":0.0001389221,"about_ca_system_score_gemma":0.0002400111,"threshold_uncertainty_score":0.99986935},"labels":[],"label_agreement":null},{"id":"W4210793310","doi":"10.1002/oby.23352","title":"Built environment influences on healthy eating and active living: The NEWPATH study","year":2022,"lang":"en","type":"article","venue":"Obesity","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; Regional Municipality of Waterloo; University of Waterloo; Vancouver Community College; University of British Columbia","funders":"Heart and Stroke Foundation of Canada","keywords":"Active living; Healthy eating; Environmental health; Medicine; Gerontology; Physical activity; Food science; Physical medicine and rehabilitation; Biology","score_opus":0.028955333516919406,"score_gpt":0.3043933323364497,"score_spread":0.2754379988195303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210793310","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964831,0.0000729037,0.0000028565698,0.00067032233,0.00008280356,0.000391889,0.000006483267,0.000024996029,0.0022646291],"genre_scores_gemma":[0.9993597,0.000013260762,0.000008364535,0.00028446206,0.00006510925,0.00003590096,6.027532e-7,0.0000030590866,0.00022953826],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986756,0.0004124043,0.000106658415,0.00022963711,0.00040015377,0.00017553402],"domain_scores_gemma":[0.99947083,0.00023792232,0.00007216747,0.00015354913,0.000006199862,0.00005935492],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0010277485,0.00006581126,0.000090173235,0.000015741067,0.0025492935,0.000040284398,0.00022951789,0.00001595398,0.00036805766],"category_scores_gemma":[0.000048105496,0.000049422717,0.00002461455,0.00010678592,0.000147733,0.00010594894,0.00010032664,0.00020191338,0.000004372801],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016271348,0.00039320148,0.9556807,0.0000018505837,0.0000058210667,0.0000017724013,0.04100995,0.00001913813,0.0000044806,0.00009920684,0.000021799107,0.0027457888],"study_design_scores_gemma":[0.00007050351,0.00028189717,0.9709571,0.0000026044581,0.000008550162,4.0974335e-8,0.026387371,0.0000056147937,0.000003619054,0.00038577683,0.0018388287,0.000058118232],"about_ca_topic_score_codex":0.010494837,"about_ca_topic_score_gemma":0.004518139,"teacher_disagreement_score":0.015276355,"about_ca_system_score_codex":0.00010774003,"about_ca_system_score_gemma":0.0000610128,"threshold_uncertainty_score":0.99874926},"labels":[],"label_agreement":null},{"id":"W4210798102","doi":"10.1101/2022.02.03.22269929","title":"Cross-sectional equity analysis of accessibility by automobile to tertiary care emergency services in Cali, Colombia in 2020","year":2022,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bruyère; University of Ottawa","funders":"","keywords":"Equity (law); Microdata (statistics); Geospatial analysis; Business; Health care; Traffic congestion; Census; Kilometer; Population; Baseline (sea); Transport engineering; Geography; Environmental health; Medicine; Economic growth; Economics; Engineering; Political science","score_opus":0.025468131739491293,"score_gpt":0.38743040979068843,"score_spread":0.36196227805119713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210798102","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945195,0.0007835873,0.000013189304,0.00010635181,0.0009584726,0.00084575516,0.001456661,0.00006624346,0.0012502901],"genre_scores_gemma":[0.9984725,0.000060674018,0.000042208605,0.000053873926,0.00007306231,0.00031617883,0.0007696086,0.00001538029,0.00019649212],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99516183,0.0005222274,0.0013835623,0.0013124783,0.0010937962,0.0005261143],"domain_scores_gemma":[0.9982903,0.000094804775,0.00043421084,0.00074574817,0.00022976582,0.000205144],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0027785532,0.0002945362,0.0008010307,0.0004585899,0.00026782154,0.00010138917,0.0018732846,0.00040562692,0.01254841],"category_scores_gemma":[0.0000987818,0.00032169555,0.00043961493,0.0031286234,0.00020442935,0.0002732907,0.0012663162,0.00079664565,0.0000035647754],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039797418,0.00032993167,0.9844671,0.00039287156,0.00010883493,0.000009375465,0.012479936,0.0016964665,0.0001040438,0.0000059797667,0.000046556404,0.00031911765],"study_design_scores_gemma":[0.0001505847,0.000012209938,0.99669397,0.000021726262,0.00010845063,9.759668e-9,0.0014766954,0.00021732406,0.000059456426,0.00061074033,0.0003599327,0.00028888776],"about_ca_topic_score_codex":0.10874396,"about_ca_topic_score_gemma":0.4194357,"teacher_disagreement_score":0.31069177,"about_ca_system_score_codex":0.0008247613,"about_ca_system_score_gemma":0.0005419427,"threshold_uncertainty_score":0.9999235},"labels":[],"label_agreement":null},{"id":"W4210815919","doi":"10.3390/ijerph19031604","title":"Social-Ecological Correlates of Children’s Independent Mobility: A Systematic Review","year":2022,"lang":"en","type":"review","venue":"International Journal of Environmental Research and Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia; Brock University","funders":"","keywords":"Psychological intervention; Destinations; Ethnic group; Psychology; Interpersonal communication; Confidence interval; Perception; Competence (human resources); Friendship; Developmental psychology; Geography; Medicine; Social psychology; Sociology; Tourism","score_opus":0.1575506184788608,"score_gpt":0.46212104295707274,"score_spread":0.3045704244782119,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210815919","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001628373,0.99492913,0.0000031155212,0.0015006871,0.00017590249,0.0013533885,0.00017916161,0.0000042322195,0.00022600764],"genre_scores_gemma":[0.026497627,0.97292984,0.000007653568,0.000113626746,0.00017344413,0.000057937435,0.00007398056,0.000011796131,0.00013410649],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99165547,0.0028779474,0.0017476843,0.00026121823,0.0030161873,0.00044151748],"domain_scores_gemma":[0.99681574,0.00095419557,0.0015621447,0.00014444056,0.00011253723,0.000410936],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.014380383,0.00017032842,0.0015636971,0.00036618114,0.0004351294,0.00009328906,0.0012361492,0.00014956009,0.0023245339],"category_scores_gemma":[0.001097564,0.00012615125,0.0004390619,0.0002658304,0.0007132742,0.0002640192,0.00025673138,0.0012702603,0.0000061651217],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003630321,0.006110497,0.015712112,0.36510113,0.0017094682,0.00010107623,0.0028333082,5.5941655e-8,8.29419e-8,0.00200391,0.0012798187,0.60511225],"study_design_scores_gemma":[0.000686306,0.0012371693,0.014218561,0.11847659,0.00039454259,0.00016345459,0.0034412963,5.2590315e-7,4.7161592e-8,0.0015604543,0.85936517,0.00045585816],"about_ca_topic_score_codex":0.00022053611,"about_ca_topic_score_gemma":0.0000648958,"teacher_disagreement_score":0.8580854,"about_ca_system_score_codex":0.0016970335,"about_ca_system_score_gemma":0.0020428656,"threshold_uncertainty_score":0.9985875},"labels":[],"label_agreement":null},{"id":"W4210817486","doi":"10.32920/19083410","title":"Shared electric bicycles: who are the potential users? An examination of survey results from urban and suburban neighbourhoods in the Greater Golden Horseshoe area","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Respondent; TRIPS architecture; Destinations; Cycling; Work (physics); Geography; Transport engineering; Business; Socioeconomics; Marketing; Engineering; Sociology; Political science","score_opus":0.053774648814068224,"score_gpt":0.28994369371787215,"score_spread":0.23616904490380392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210817486","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9929303,0.00030455034,0.000023746736,0.00050358876,0.00021508837,0.0009691863,0.0018108576,0.00005013747,0.0031925675],"genre_scores_gemma":[0.9974053,0.000087884175,0.000016434333,0.00008742197,0.00021139462,0.000060235714,0.001706193,0.000020820366,0.00040431297],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9942208,0.0028621657,0.0007047335,0.0008960833,0.0009283166,0.00038790534],"domain_scores_gemma":[0.99778914,0.0005147015,0.0005337893,0.0009064525,0.00016586717,0.000090047404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0052533154,0.0003069621,0.00048598417,0.00019749557,0.0004916161,0.00042598086,0.0015663544,0.000329778,0.00045583292],"category_scores_gemma":[0.00030993638,0.00019640321,0.00013751285,0.0007709278,0.00029802741,0.00037437517,0.00023637545,0.0007994419,8.079865e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015824569,0.00015293343,0.9654999,0.000018650026,0.000042528547,0.00001130798,0.032689918,0.000042950676,0.000029419205,0.00006403335,0.0004915732,0.0007985577],"study_design_scores_gemma":[0.00043554747,0.000044121298,0.9863286,0.0000377283,0.00006709812,9.128257e-8,0.011363599,0.00041914821,0.000029842531,0.00095499324,0.000067160414,0.0002520564],"about_ca_topic_score_codex":0.1591925,"about_ca_topic_score_gemma":0.13323873,"teacher_disagreement_score":0.025953766,"about_ca_system_score_codex":0.0001390494,"about_ca_system_score_gemma":0.00022420641,"threshold_uncertainty_score":0.8825774},"labels":[],"label_agreement":null},{"id":"W4210925560","doi":"10.1017/s0144686x22000010","title":"‘It's overwhelming at the start’: transitioning to public transit use as an older adult","year":2022,"lang":"en","type":"article","venue":"Ageing and Society","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"","keywords":"Public transport; Transit (satellite); Task (project management); Public involvement; Psychology; Transit system; Gerontology; Business; Public relations; Transport engineering; Medicine; Political science; Engineering","score_opus":0.025943443246698887,"score_gpt":0.2817552498314348,"score_spread":0.2558118065847359,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210925560","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9837265,0.00006624211,0.00044930814,0.013609682,0.00014157998,0.00022783353,0.000026908496,0.00008759869,0.001664343],"genre_scores_gemma":[0.9905233,0.000034869587,0.00016271982,0.0069950083,0.00010900736,0.000032504377,0.000022076523,0.000011762803,0.0021087632],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99850094,0.00020805928,0.00016115642,0.00032969195,0.00044357267,0.00035657425],"domain_scores_gemma":[0.99943095,0.00011784501,0.000037744227,0.00018003513,0.00006015294,0.00017325986],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00091434014,0.00010332392,0.00011845431,0.000014506031,0.0051380135,0.0003056022,0.00020399722,0.0000532159,0.00080089644],"category_scores_gemma":[0.000029676323,0.00008938866,0.00014639791,0.0003105106,0.000193436,0.00062851224,0.000037108937,0.0002467343,0.0000032391795],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002839728,0.00014507513,0.058962673,0.00002473051,0.00006608583,0.000031109368,0.92474264,0.00012158343,0.00073047756,0.0027022841,0.005865251,0.006579718],"study_design_scores_gemma":[0.0012703164,0.00020684782,0.3493231,0.000049273436,0.00014297123,0.000005154895,0.38425228,0.0006655866,0.00017996084,0.0014699636,0.26155728,0.0008772649],"about_ca_topic_score_codex":0.0056647887,"about_ca_topic_score_gemma":0.008751669,"teacher_disagreement_score":0.5404903,"about_ca_system_score_codex":0.000117609525,"about_ca_system_score_gemma":0.00009889433,"threshold_uncertainty_score":0.99615717},"labels":[],"label_agreement":null},{"id":"W4211182691","doi":"10.1186/s12966-021-01243-3","title":"Operationalising the 20-minute neighbourhood","year":2022,"lang":"en","type":"article","venue":"International Journal of Behavioral Nutrition and Physical Activity","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":72,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"Australian Research Council","keywords":"Neighbourhood (mathematics); Behavioural sciences; Geography; Medicine; Sociology; Social science","score_opus":0.04410796326125428,"score_gpt":0.3719562927500708,"score_spread":0.32784832948881654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4211182691","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98996055,0.000047432288,0.00010121569,0.008883861,0.0005043598,0.000086099324,0.000055852364,0.0000072367266,0.00035338805],"genre_scores_gemma":[0.9988471,0.000016304988,0.00004115638,0.00013091975,0.0008574401,0.000008430006,0.000007274211,0.0000034097175,0.00008790932],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99881274,0.00017690743,0.00012854356,0.00008633161,0.0007068151,0.00008864833],"domain_scores_gemma":[0.9994382,0.000081081875,0.000157178,0.000043721255,0.0002179697,0.0000618489],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003320772,0.000056659497,0.00010171129,0.000044824086,0.00054195366,0.00012465267,0.00027923755,0.000016811488,0.00029949442],"category_scores_gemma":[0.000010257156,0.000044086126,0.00011420029,0.00010116708,0.00014820833,0.0005344893,0.000043772983,0.00029213494,7.45138e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0028530972,0.040487114,0.26697257,0.000035649788,0.00041605742,0.00039453545,0.06825855,0.00040775278,0.065421425,0.047623437,0.009165666,0.49796417],"study_design_scores_gemma":[0.006294369,0.0009933413,0.69799614,0.000106828535,0.0003166307,0.00011338421,0.018598871,0.000925206,0.006230177,0.048630655,0.21900065,0.0007937573],"about_ca_topic_score_codex":0.00041821043,"about_ca_topic_score_gemma":0.00010862665,"teacher_disagreement_score":0.49717042,"about_ca_system_score_codex":0.000108113,"about_ca_system_score_gemma":0.00008451208,"threshold_uncertainty_score":0.41683242},"labels":[],"label_agreement":null},{"id":"W4211239937","doi":"10.32866/001c.32444","title":"Cumulative versus Gravity-based Accessibility Measures: Which One to Use?","year":2022,"lang":"en","type":"article","venue":"Findings","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; University of Sydney; University of Twente; McMaster University","keywords":"Operationalization; Metropolitan area; Public transport; Gravity model of trade; Econometrics; Cumulative distribution function; Cumulative effects; Computer science; Transport engineering; Mathematics; Statistics; Economics; Geography; Engineering; Physics; Probability density function","score_opus":0.106124895673224,"score_gpt":0.35124667561790424,"score_spread":0.24512177994468023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4211239937","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99128956,0.0000118491635,0.0003584144,0.0017444321,0.0006682013,0.00053470884,0.000117243144,0.00016592487,0.005109698],"genre_scores_gemma":[0.99810094,5.6047685e-7,0.00046426884,0.0003575387,0.00009483736,0.00008602428,0.0000459609,0.000015072096,0.0008348268],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99724096,0.00031780722,0.00028864125,0.0005649871,0.0011048865,0.00048271657],"domain_scores_gemma":[0.9987292,0.0003702214,0.00008984116,0.00035521234,0.00021172104,0.00024377706],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0018197506,0.0001485521,0.00023514823,0.00012576472,0.0017925106,0.00022600396,0.0006694171,0.00007483961,0.0018581114],"category_scores_gemma":[0.0008118961,0.00016570566,0.00010984407,0.0015233409,0.00013755946,0.0005046307,0.000110374844,0.00035817365,0.00004219978],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00071857683,0.00034025157,0.9808302,0.000014424214,0.000029154484,0.000004550469,0.013748761,0.00014090847,0.00025224956,0.0020293153,0.0011025959,0.00078901753],"study_design_scores_gemma":[0.0011678339,0.00017712,0.91156024,0.000014771754,0.00004956383,2.6664893e-8,0.0018616164,0.000036382964,0.0005306856,0.0020709564,0.08212471,0.00040606994],"about_ca_topic_score_codex":0.006527601,"about_ca_topic_score_gemma":0.011981211,"teacher_disagreement_score":0.08102211,"about_ca_system_score_codex":0.00053116115,"about_ca_system_score_gemma":0.00045101185,"threshold_uncertainty_score":0.999507},"labels":[],"label_agreement":null},{"id":"W4212801196","doi":"10.1177/0361198105190200101","title":"The Worst of All Worlds","year":2005,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital","funders":"","keywords":"Urban sprawl; Population; Population density; Geography; Distribution (mathematics); Public transport; Economic geography; Traffic congestion; Urban density; Urban planning; Transport engineering; Sociology; Demography; Engineering; Civil engineering","score_opus":0.11772882691518455,"score_gpt":0.4411343358364691,"score_spread":0.32340550892128456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4212801196","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97396547,0.0007944142,0.000242657,0.021568896,0.000561431,0.0009239709,0.00003688182,0.000025447274,0.0018808106],"genre_scores_gemma":[0.9925906,0.0022838493,0.00077685155,0.000061064195,0.0005284811,0.00003804649,0.0000069775588,0.000033916123,0.003680224],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.988896,0.002016905,0.00195685,0.00034965936,0.0056163785,0.0011641969],"domain_scores_gemma":[0.9915943,0.0022833152,0.00072091614,0.0005929886,0.004353925,0.00045452834],"candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.014110654,0.00020811307,0.0004229299,0.00056890177,0.0019275891,0.00019817188,0.00231954,0.00020964562,0.0005875845],"category_scores_gemma":[0.00040771838,0.00013253526,0.0005640322,0.0026677754,0.0027820072,0.00094258605,0.0000069128955,0.0022312207,0.000023216808],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020409732,0.000572996,0.8904332,0.00015189937,0.00027274794,0.00003998325,0.025130982,0.00051294925,0.0015307714,0.021518797,0.01650763,0.041287094],"study_design_scores_gemma":[0.0007481814,0.00017328576,0.70747125,0.00015321618,0.000045785724,4.4364e-8,0.005137444,0.00001962471,0.0009991789,0.004557233,0.28056258,0.00013215492],"about_ca_topic_score_codex":0.024386786,"about_ca_topic_score_gemma":0.49949357,"teacher_disagreement_score":0.47510678,"about_ca_system_score_codex":0.00031174388,"about_ca_system_score_gemma":0.001335381,"threshold_uncertainty_score":0.9999319},"labels":[],"label_agreement":null},{"id":"W4212866290","doi":"10.1016/j.jneb.2021.08.018","title":"The Association of Residential Mobility With Weight-Related Health Behaviors","year":2022,"lang":"en","type":"article","venue":"Journal of Nutrition Education and Behavior","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Cancer Institute; National Heart, Lung, and Blood Institute","keywords":"Association (psychology); Psychology; Environmental health; Medicine; Psychotherapist","score_opus":0.011469887855945767,"score_gpt":0.32106225303801916,"score_spread":0.3095923651820734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4212866290","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.992999,0.00070168194,0.0000043450477,0.0050805146,0.0008066785,0.00029423984,0.000011856714,0.0000060650423,0.00009560033],"genre_scores_gemma":[0.99888146,0.00023360254,0.00011274084,0.000039052607,0.00012439849,0.000054540193,0.000008602805,0.0000035798205,0.0005420408],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99847,0.0003285641,0.00046134155,0.00007949362,0.00054808427,0.00011249789],"domain_scores_gemma":[0.9985422,0.00007398464,0.00086807564,0.0000715658,0.00036078398,0.000083399296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018021294,0.000047682064,0.00012844785,0.00007733762,0.00090178143,0.0000405499,0.0001250783,0.000034128185,0.00017850245],"category_scores_gemma":[0.00003468596,0.00003599734,0.00006445559,0.00027456507,0.000103461534,0.00023125175,0.00000798332,0.00021934044,2.0091252e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007037642,0.008343597,0.97225684,0.000022880318,0.000014191458,0.0000010246154,0.0051818267,7.273387e-7,0.00018143699,0.00045784083,0.0033184367,0.010150802],"study_design_scores_gemma":[0.0005398327,0.0002440948,0.9664385,0.000022572165,0.000100095865,0.000004737513,0.015602756,2.185188e-7,0.00007129037,0.00044370187,0.016483089,0.000049127953],"about_ca_topic_score_codex":0.0006454709,"about_ca_topic_score_gemma":0.000749904,"teacher_disagreement_score":0.0131646525,"about_ca_system_score_codex":0.00036229935,"about_ca_system_score_gemma":0.00082783774,"threshold_uncertainty_score":0.69358647},"labels":[],"label_agreement":null},{"id":"W4213137820","doi":"10.1016/j.jtrangeo.2022.103293","title":"Identifying trip purpose from a dockless bike-sharing system in Manchester","year":2022,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"TRIPS architecture; Transport engineering; Bridge (graph theory); Cycling; Work (physics); Service (business); Quarter (Canadian coin); Evening; Geography; Business; Computer science; Engineering; Marketing","score_opus":0.02691435445695847,"score_gpt":0.28142850245723483,"score_spread":0.2545141480002764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213137820","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954349,0.0015832097,0.00047750043,0.00015789871,0.0011487857,0.00023121842,0.000056394372,0.00003757104,0.0008725633],"genre_scores_gemma":[0.9992005,0.00007239935,0.0002916594,0.000060534316,0.00028623155,0.000016943663,0.000015510923,0.000016858981,0.00003932313],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99709654,0.00015043384,0.0010197402,0.00029683282,0.0010300839,0.00040636616],"domain_scores_gemma":[0.99893117,0.000056658388,0.0005125276,0.00021877966,0.000095385905,0.0001854736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021158943,0.00016314515,0.00046972925,0.0006636695,0.0005012607,0.00007866916,0.00087347446,0.00008002055,0.0005253324],"category_scores_gemma":[0.000005513646,0.00016174189,0.0005771635,0.0011712987,0.0001174088,0.00069211,0.0000231589,0.0006573535,0.0000016196991],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015967104,0.00017244385,0.98849714,0.00005422543,0.00006202393,0.0005147928,0.009338325,0.0000965164,0.00009100217,0.00011134108,0.000021590677,0.0008809063],"study_design_scores_gemma":[0.0011064545,0.000046930338,0.97542644,0.00016790122,0.00012390112,0.000004854338,0.012724377,0.000009237598,0.000050856444,0.0011775478,0.008946525,0.00021499646],"about_ca_topic_score_codex":0.004238182,"about_ca_topic_score_gemma":0.0033507592,"teacher_disagreement_score":0.0130707435,"about_ca_system_score_codex":0.00016540286,"about_ca_system_score_gemma":0.00014281423,"threshold_uncertainty_score":0.6595643},"labels":[],"label_agreement":null},{"id":"W4213224163","doi":"10.1177/03611981221076843","title":"Would You Wait? Bus Choice Behavior Analysis Considering Various Incentives","year":2022,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; Polytechnique Montréal","funders":"","keywords":"Incentive; Public transport; Overcrowding; Multinomial logistic regression; Mixed logit; Computer science; Logistic regression; Transport engineering; Business; Economics; Microeconomics; Engineering","score_opus":0.11733808717276156,"score_gpt":0.42720463882148485,"score_spread":0.3098665516487233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213224163","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9923449,0.00045270767,0.00042250688,0.003926554,0.000762066,0.0013404228,0.00018091948,0.000054573717,0.0005153265],"genre_scores_gemma":[0.99659556,0.00042526846,0.00041628748,0.00006388845,0.0002452477,0.00023414246,0.000046627312,0.000045024408,0.0019279231],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9855548,0.0036369504,0.0016437529,0.00063607696,0.007208465,0.0013199239],"domain_scores_gemma":[0.9938446,0.0014426762,0.00068083045,0.0006127751,0.0028287026,0.00059040316],"candidate_categories":["sts","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.010920203,0.0002830327,0.0006830808,0.0018543503,0.0043274523,0.00028205878,0.002108245,0.0002505453,0.003549072],"category_scores_gemma":[0.00033881102,0.00024033869,0.0009348818,0.007921212,0.001570114,0.001026637,0.000021340036,0.0050798706,0.000009947871],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006852861,0.0004509968,0.9785732,0.00005972804,0.000427849,0.00019502497,0.012364926,0.0013603293,0.00049624144,0.0011352518,0.00083922665,0.0034119447],"study_design_scores_gemma":[0.0010837262,0.00032070884,0.93281066,0.000038116843,0.0005009136,1.3139743e-7,0.010528729,0.000038157195,0.00022778314,0.0010809456,0.05313185,0.00023826685],"about_ca_topic_score_codex":0.100719616,"about_ca_topic_score_gemma":0.27431786,"teacher_disagreement_score":0.17359824,"about_ca_system_score_codex":0.0007558918,"about_ca_system_score_gemma":0.0015220834,"threshold_uncertainty_score":0.99736184},"labels":[],"label_agreement":null},{"id":"W4213365743","doi":"10.1016/j.jth.2022.101338","title":"Criteria to prioritize opportunities to shift paratransit trips to regular transit network – Montreal case study","year":2022,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Paratransit; TRIPS architecture; Transit (satellite); Urban transit; Business; Transport engineering; Public transport; Engineering","score_opus":0.07839909066998338,"score_gpt":0.3689802608672848,"score_spread":0.29058117019730145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213365743","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9639789,0.0004954982,0.0023266508,0.029238863,0.0012804071,0.0020674376,0.00018053381,0.00006734435,0.00036437725],"genre_scores_gemma":[0.99182457,0.000052708925,0.0012570488,0.0053532734,0.0009966604,0.000061131024,0.000009950458,0.000043316137,0.0004013242],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9941882,0.0008058284,0.0018277584,0.00051996874,0.0015766385,0.001081639],"domain_scores_gemma":[0.9967236,0.00009097881,0.00036208078,0.00041259482,0.0002551862,0.0021555922],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0065767644,0.0003352539,0.0010925501,0.0003694593,0.0019430475,0.000093648814,0.0007925638,0.00007953879,0.0007330823],"category_scores_gemma":[0.000016749776,0.0003421154,0.0003825457,0.001040158,0.00007746259,0.00041470455,0.000018766805,0.0006563592,0.0000037420223],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004243657,0.0028206448,0.19366816,0.00018891579,0.00028515034,0.033147756,0.71710676,0.006963363,0.00003386288,0.00026720407,0.014986558,0.026287986],"study_design_scores_gemma":[0.003334865,0.009116047,0.5144717,0.00019352081,0.00040852782,0.0004334683,0.25970265,0.000005323677,0.000009404672,0.0006620258,0.21058708,0.0010753343],"about_ca_topic_score_codex":0.033488367,"about_ca_topic_score_gemma":0.1810908,"teacher_disagreement_score":0.45740408,"about_ca_system_score_codex":0.00051984185,"about_ca_system_score_gemma":0.0022766606,"threshold_uncertainty_score":0.9999031},"labels":[],"label_agreement":null},{"id":"W4213387502","doi":"10.1016/j.envint.2022.107141","title":"Neighbourhood walkability and mortality: Findings from a 15-year follow-up of a nationally representative cohort of Canadian adults in urban areas","year":2022,"lang":"en","type":"article","venue":"Environment International","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Queen's University; Statistics Canada; McGill University; University of Ottawa; Carleton University; Public Health Agency of Canada","funders":"","keywords":"Walkability; Neighbourhood (mathematics); Socioeconomic status; Demography; Residence; Geography; Cohort; Medicine; Environmental health; Cohort study; Population; Census; Gerontology; Physical activity","score_opus":0.013872801911713273,"score_gpt":0.2552071006319805,"score_spread":0.2413342987202672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213387502","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9906699,0.000031441923,0.0000044225085,0.0005392421,0.00015814,0.0002641905,0.0009891825,0.0000044921458,0.007338955],"genre_scores_gemma":[0.99913746,0.00002557866,0.00007861771,0.00003841263,0.00003284414,0.000043198892,0.00025078442,0.0000047388453,0.00038834236],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99844724,0.00008480272,0.0003221262,0.00029511325,0.0007193084,0.00013143168],"domain_scores_gemma":[0.99954194,0.00010589196,0.00012696921,0.00011165147,0.000027342856,0.000086193686],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005383842,0.00007397318,0.00014632159,0.00019473968,0.00010887042,0.00001134392,0.00026316268,0.00003607088,0.0071694213],"category_scores_gemma":[0.00008719876,0.000085703214,0.000058696143,0.00016300469,0.00021783645,0.00016988066,0.00006695652,0.00012007786,0.0000016972352],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005353514,0.00013827889,0.98931175,0.0000026785983,0.000062257284,0.0000029013215,0.008014865,0.000024492063,0.00006474947,0.0021170098,0.00011731976,0.000090148416],"study_design_scores_gemma":[0.00063459214,0.000020262582,0.99293536,0.000008509718,0.000013228466,5.7356527e-8,0.0025832541,0.000053133837,0.0001080569,0.0025740946,0.0009959392,0.000073499046],"about_ca_topic_score_codex":0.48840174,"about_ca_topic_score_gemma":0.30320993,"teacher_disagreement_score":0.18519181,"about_ca_system_score_codex":0.00036351444,"about_ca_system_score_gemma":0.00013926817,"threshold_uncertainty_score":0.9937382},"labels":[],"label_agreement":null},{"id":"W4213422611","doi":"10.3390/ijerph19052641","title":"Objective and Perceived Traffic Safety for Children: A Systematic Literature Review of Traffic and Built Environment Characteristics Related to Safe Travel","year":2022,"lang":"en","type":"review","venue":"International Journal of Environmental Research and Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":78,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Pedestrian; Perception; Occupational safety and health; Built environment; Human factors and ergonomics; Transport engineering; Applied psychology; Injury prevention; Poison control; Level design; Psychology; Traffic psychology; Suicide prevention; Environmental health; Medicine; Engineering; Computer science; Multimedia","score_opus":0.06283231039600702,"score_gpt":0.4018227536243483,"score_spread":0.33899044322834126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213422611","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01654955,0.97790825,0.000009161129,0.0016620859,0.00012297371,0.0024865975,0.0012287508,0.0000029178145,0.000029723067],"genre_scores_gemma":[0.018627658,0.9805893,0.000087663975,0.000122003155,0.000116418254,0.00006632321,0.00024084064,0.000021042773,0.00012876774],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99498755,0.0012691768,0.0015241571,0.0003741845,0.0014360917,0.0004088522],"domain_scores_gemma":[0.9973966,0.00083799,0.0009119074,0.00014561904,0.00007899924,0.000628919],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0068908357,0.00023665065,0.0013711464,0.00044088063,0.000395229,0.00013143287,0.0005078788,0.00014312565,0.00028497228],"category_scores_gemma":[0.0005736895,0.00018816108,0.00023175986,0.00021071953,0.0004386886,0.00025395336,0.00011561337,0.000800806,0.0000010229062],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008959466,0.0006715226,0.00033145578,0.11582739,0.0005554958,0.000023398696,0.0070488686,3.87318e-7,6.483208e-7,0.00010912735,0.000106416795,0.8752357],"study_design_scores_gemma":[0.001882339,0.0030183613,0.05128236,0.33380336,0.00041265966,0.00046986132,0.0064881104,0.000013372427,8.507779e-8,0.00010611196,0.60177094,0.000752421],"about_ca_topic_score_codex":0.000021125828,"about_ca_topic_score_gemma":0.000017441342,"teacher_disagreement_score":0.8744833,"about_ca_system_score_codex":0.0008941631,"about_ca_system_score_gemma":0.00073507964,"threshold_uncertainty_score":0.7672986},"labels":[],"label_agreement":null},{"id":"W4213430288","doi":"10.1210/endrev/bnac005","title":"The Weight of Place: Built Environment Correlates of Obesity and Diabetes","year":2022,"lang":"en","type":"review","venue":"Endocrine Reviews","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":73,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Michael's Hospital; Public Health Ontario; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Built environment; Obesity; Environmental health; Physical activity; Gerontology; Population; Level design; Active living; Medicine; Biology; Ecology; Computer science; Physical medicine and rehabilitation","score_opus":0.04884810697504533,"score_gpt":0.33431700156423233,"score_spread":0.285468894589187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213430288","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0003748626,0.9958866,5.742388e-7,0.000038901715,0.00022798374,0.0013764653,0.000046682107,0.000010689182,0.0020372223],"genre_scores_gemma":[0.00009932565,0.9981601,0.00003823771,0.0000041253616,0.00009978594,0.00016559182,0.000029958039,0.00001523228,0.0013876152],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99700636,0.00088965974,0.0011105392,0.00032733072,0.0003672714,0.00029884704],"domain_scores_gemma":[0.99752396,0.0008726385,0.0010040466,0.00050681405,0.000012071887,0.00008046684],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001774033,0.00026594856,0.0017986188,0.000043808737,0.0003765272,0.000016913682,0.00063758553,0.00006166149,0.001224399],"category_scores_gemma":[0.00024297618,0.00015791245,0.00055980356,0.00024973552,0.00057673664,0.00007440044,0.00016786404,0.0003350606,0.000012325198],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000012413094,0.000068449015,0.011791301,0.00887441,0.00005330743,0.0000012760739,0.00017035223,3.797965e-8,6.93717e-8,0.00038419513,0.00052389654,0.9781315],"study_design_scores_gemma":[0.000048648253,0.000022864819,0.00025901775,0.0014779379,0.0004707772,2.9770428e-7,0.000035553134,2.4088183e-7,0.0000010401159,0.00012518969,0.99741405,0.00014435951],"about_ca_topic_score_codex":0.00020185387,"about_ca_topic_score_gemma":0.00014963631,"teacher_disagreement_score":0.9968902,"about_ca_system_score_codex":0.00007258122,"about_ca_system_score_gemma":0.0001338113,"threshold_uncertainty_score":0.9996886},"labels":[],"label_agreement":null},{"id":"W4213454670","doi":"10.1016/j.cstp.2022.02.009","title":"Providing discounted transit passes to younger university students: Are there effects on public transit, car and active transportation trips to university?","year":2022,"lang":"en","type":"article","venue":"Case Studies on Transport Policy","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Université du Québec à Montréal","funders":"Université du Québec à Montréal","keywords":"TRIPS architecture; Public transport; Transit (satellite); Transport engineering; Logistic regression; Demographic economics; Business; Geography; Economics; Engineering; Mathematics; Statistics","score_opus":0.02820396039022733,"score_gpt":0.3131181659327678,"score_spread":0.2849142055425405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213454670","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98683923,0.00009319291,0.00010328849,0.008727729,0.00025294122,0.0017862951,0.0010120916,0.00018892396,0.0009962874],"genre_scores_gemma":[0.99783534,0.000116496085,0.000019267156,0.0008543754,0.00016138297,0.000029744077,0.00005687408,0.000033690154,0.00089282874],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99699485,0.00032525166,0.0003015363,0.00089495134,0.0008303279,0.0006530855],"domain_scores_gemma":[0.9986826,0.00020787155,0.0001324116,0.00029431455,0.00018116242,0.000501616],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.00048453064,0.00039866826,0.0006083349,0.0005823766,0.0027684127,0.00004433623,0.00046745787,0.00010199477,0.000048946677],"category_scores_gemma":[0.000036353817,0.00042358052,0.00022290656,0.0018929001,0.00027242108,0.0006225291,0.000015847643,0.0004029824,0.0000046499063],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.010290591,0.0026115116,0.2874621,0.0009034083,0.0023159052,0.035209358,0.6288775,0.0012514832,0.00071157754,0.018071063,0.00092628214,0.011369203],"study_design_scores_gemma":[0.0041099936,0.0015901416,0.4485402,0.00023188739,0.00076978805,0.000012687006,0.4816056,0.0000017977037,0.0007641673,0.000108783715,0.060969073,0.0012958825],"about_ca_topic_score_codex":0.004461515,"about_ca_topic_score_gemma":0.0517439,"teacher_disagreement_score":0.16107811,"about_ca_system_score_codex":0.0010290705,"about_ca_system_score_gemma":0.00032324568,"threshold_uncertainty_score":0.9998216},"labels":[],"label_agreement":null},{"id":"W4214631005","doi":"10.1155/2022/8349173","title":"Analyzing Rail Traffic Diversion Based on Machine Learning Technique considering Transportation Security","year":2022,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Shanghai Education Development Foundation; Shanghai Municipal Education Commission; National Natural Science Foundation of China","keywords":"Logit; Public transport; Transport engineering; Binary logit model; Computer science; Transfer (computing); Decision tree; Travel behavior; Operations research; Transportation planning; Engineering; Mathematics; Statistics; Data mining","score_opus":0.011680263460413272,"score_gpt":0.27181915213715596,"score_spread":0.2601388886767427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214631005","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9916098,0.00017506386,0.0068707485,0.0004147671,0.00034243174,0.00032596802,0.000049513248,0.00007603996,0.00013565493],"genre_scores_gemma":[0.9976086,0.00006094389,0.0019955456,0.00005978196,0.0000735574,0.000016508326,0.00013789012,0.000018119928,0.000029033703],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99781984,0.00023469047,0.00066613156,0.000230696,0.0008039707,0.00024466336],"domain_scores_gemma":[0.998741,0.00015468666,0.0006817409,0.00009531662,0.0001996507,0.00012761174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012316314,0.00015644771,0.00029066802,0.00030472077,0.0009907172,0.00002676845,0.0002124847,0.00006726699,0.0004113745],"category_scores_gemma":[0.000044836495,0.00016636783,0.00025628766,0.00059751346,0.00008729503,0.0006527935,0.0000011245088,0.0007424585,7.4228035e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000840782,0.0002757798,0.14517877,0.0000571059,0.000026707692,0.00012764041,0.016074171,0.8270572,0.0023880368,0.00016133365,0.000010337414,0.0078021483],"study_design_scores_gemma":[0.01076683,0.0030633635,0.877897,0.00059390825,0.00081370154,0.000005897943,0.04306222,0.0057219835,0.008416654,0.003744529,0.044200912,0.0017129967],"about_ca_topic_score_codex":0.00013939441,"about_ca_topic_score_gemma":0.0013639866,"teacher_disagreement_score":0.8213352,"about_ca_system_score_codex":0.00022835097,"about_ca_system_score_gemma":0.0002158894,"threshold_uncertainty_score":0.76198953},"labels":[],"label_agreement":null},{"id":"W4214639977","doi":"10.1016/j.urbmob.2022.100016","title":"Evaluating the accessibility benefits of the new BRT system during the COVID-19 pandemic in Winnipeg, Canada","year":2022,"lang":"en","type":"article","venue":"Journal of Urban Mobility","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Saskatchewan; Western University","funders":"Social Sciences and Humanities Research Council of Canada; Canadian Institutes of Health Research; Western University","keywords":"Bus rapid transit; Business; Service (business); Public transport; Coronavirus disease 2019 (COVID-19); Transport engineering; Pandemic; Work (physics); Geography; Engineering; Marketing","score_opus":0.06652887889586011,"score_gpt":0.34852007371327415,"score_spread":0.281991194817414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214639977","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99312824,0.0016116116,0.000008620431,0.0034999177,0.0007981089,0.0006839254,0.00003712459,0.000012445427,0.00022002443],"genre_scores_gemma":[0.9990973,0.0000082587885,0.000010752291,0.00030781838,0.00027774193,0.000015307976,5.0222536e-7,0.000007761965,0.00027455823],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99391854,0.0023079952,0.0012531158,0.0002897454,0.0018568072,0.00037380712],"domain_scores_gemma":[0.9965709,0.0010477238,0.0012305625,0.00072938117,0.00021857387,0.00020285296],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.014610154,0.00015316995,0.00038319096,0.00004137869,0.0017240067,0.00005853995,0.002131342,0.000058394216,0.0003033362],"category_scores_gemma":[0.0016823581,0.00007972076,0.0002622075,0.0009565708,0.00036106008,0.00025927564,0.00023280364,0.0009683651,1.326882e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015047843,0.00007823212,0.9873154,0.00008182308,0.000021319169,0.0000028562274,0.00620028,0.0048959143,0.00008641268,0.0000789407,0.00046939048,0.0006189081],"study_design_scores_gemma":[0.0005613585,0.00004123795,0.9880772,0.000030505478,0.000047900514,0.000009327556,0.008895456,0.00008804003,0.000039063805,0.00048042132,0.0016381881,0.00009125387],"about_ca_topic_score_codex":0.5976156,"about_ca_topic_score_gemma":0.8292236,"teacher_disagreement_score":0.23160796,"about_ca_system_score_codex":0.0032924411,"about_ca_system_score_gemma":0.008413486,"threshold_uncertainty_score":0.9995756},"labels":[],"label_agreement":null},{"id":"W4214641941","doi":"10.1016/j.ssmph.2022.101048","title":"An international comparative study of active living environments and hospitalization for Wales and Canada","year":2022,"lang":"en","type":"article","venue":"SSM - Population Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University Health Centre; Queen's University; McGill University; University of Toronto","funders":"Economic and Social Research Council; Medical Research Council; Canadian Institutes of Health Research; Health and Care Research Wales","keywords":"Geography; Active living; Medicine; Public health; Nursing","score_opus":0.03932660991748834,"score_gpt":0.37159284257129155,"score_spread":0.33226623265380323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214641941","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990179,0.000023865317,0.00010580094,0.00013276614,0.00011333758,0.0005136637,0.00005764468,0.0000048679167,0.000030151728],"genre_scores_gemma":[0.99972516,0.0000070927936,0.00005135965,0.000042056305,0.000025048294,0.00002517832,0.00009290034,0.000002382798,0.000028803941],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992904,0.00013508346,0.00015088709,0.00013276386,0.00021683874,0.00007401551],"domain_scores_gemma":[0.99970996,0.000043919015,0.00014187236,0.00004249327,0.0000145006,0.000047260564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026848217,0.00003637198,0.00008680864,0.000025533836,0.00053190184,0.000010457149,0.0000514133,0.000008541481,0.000028926384],"category_scores_gemma":[0.000011394446,0.000040235576,0.000005353989,0.000041934225,0.000024854215,0.00021708384,0.00001150578,0.00003081981,8.793643e-9],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012549872,0.000115855204,0.95217425,0.0000052879295,0.0000062251897,4.0728626e-8,0.045942288,0.00011948209,0.0000017852061,0.00042414063,0.000012185807,0.0011859403],"study_design_scores_gemma":[0.00014566374,0.00013624932,0.94214475,0.0000025889933,0.0000033580845,1.729107e-8,0.05674568,0.00042147317,9.87856e-7,0.00019680789,0.00016785273,0.00003454447],"about_ca_topic_score_codex":0.70320594,"about_ca_topic_score_gemma":0.86728495,"teacher_disagreement_score":0.164079,"about_ca_system_score_codex":0.00020578175,"about_ca_system_score_gemma":0.00011052934,"threshold_uncertainty_score":0.40910128},"labels":[],"label_agreement":null},{"id":"W4214700120","doi":"10.1155/2022/3473397","title":"Modelling the Relationships between Train Commuters’ Access Modes and Traffic Safety","year":2022,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Transport engineering; Crash; Cycling; Negative binomial distribution; Mode (computer interface); Train; Poison control; Vehicle miles of travel; Occupational safety and health; Mode choice; Engineering; Computer science; Public transport; Environmental health; Statistics; Geography; Mathematics; Medicine","score_opus":0.06709371938172072,"score_gpt":0.3221420647397275,"score_spread":0.2550483453580068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214700120","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9777046,0.0003997106,0.019423973,0.0019261023,0.00011309425,0.00019207274,0.000040043717,0.000017883889,0.00018251415],"genre_scores_gemma":[0.99835896,0.00015002898,0.0012691267,0.00003172808,0.0001159868,0.0000058988358,0.000028653612,0.000008880198,0.000030719373],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99844575,0.00027874944,0.0005299191,0.00011510024,0.00047656227,0.00015389692],"domain_scores_gemma":[0.9990294,0.0003177767,0.00038237547,0.000088337976,0.00009900453,0.0000831081],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0016377612,0.000083935425,0.00017965528,0.00008021816,0.0015460216,0.00005366808,0.00034153316,0.000038409355,0.000044964374],"category_scores_gemma":[0.00001704323,0.000068584945,0.00012276664,0.0003225205,0.00014405152,0.0010727686,0.0000033918943,0.00055730715,1.238152e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011298337,0.000032907912,0.04710851,0.000009158697,0.000026372642,0.0000041394446,0.03698796,0.909833,0.0000133360145,0.0011542608,0.000010501826,0.004706837],"study_design_scores_gemma":[0.0016198707,0.00014317494,0.8872594,0.00004915141,0.00030768677,0.0000024242045,0.084396765,0.0040821265,0.00002581282,0.014450764,0.007366101,0.00029671963],"about_ca_topic_score_codex":0.000115035655,"about_ca_topic_score_gemma":0.00066739053,"teacher_disagreement_score":0.90575093,"about_ca_system_score_codex":0.000077214914,"about_ca_system_score_gemma":0.000117531716,"threshold_uncertainty_score":0.99975383},"labels":[],"label_agreement":null},{"id":"W4214707278","doi":"10.4000/popvuln.1287","title":"Comparaison des caractéristiques des organismes de transport en commun du Québec selon la ruralité : vers l’identification de nouvelles opportunités pour favoriser la participation sociale des aînés","year":2020,"lang":"fr","type":"article","venue":"Populations vulnérables","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Art","score_opus":0.09383657572537396,"score_gpt":0.3465171472434102,"score_spread":0.25268057151803625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214707278","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9720242,0.0020692132,0.013047644,0.009705183,0.00015377112,0.00038086713,0.00018488911,0.0002933375,0.002140899],"genre_scores_gemma":[0.9908908,0.0009541176,0.0058244225,0.00016610263,0.0003330983,0.00006552249,0.00033870348,0.000058112753,0.0013690979],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9958342,0.0017292363,0.00090324285,0.000448013,0.000387596,0.0006977688],"domain_scores_gemma":[0.9977863,0.0007414228,0.0003814036,0.0002703298,0.00036057993,0.00045999917],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0017009631,0.00036930243,0.00047971544,0.00009081602,0.0025548148,0.00027483297,0.00051565014,0.000391813,0.0007007625],"category_scores_gemma":[0.00059134,0.00042415384,0.00023198567,0.00071079226,0.0021049571,0.0014031644,0.000032499862,0.00040552334,0.0000385385],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046557936,0.000428863,0.8614809,0.000250341,0.000081563354,0.000012521897,0.10978472,0.0010533608,0.00080585346,0.011279831,0.00050290243,0.0142725995],"study_design_scores_gemma":[0.00037555504,0.000039014023,0.9463388,0.00016804904,0.00048268464,0.0000028569398,0.022949344,0.0021655033,0.0010543581,0.019452695,0.006524497,0.00044663952],"about_ca_topic_score_codex":0.2759541,"about_ca_topic_score_gemma":0.36335382,"teacher_disagreement_score":0.08739971,"about_ca_system_score_codex":0.0008596634,"about_ca_system_score_gemma":0.0020249907,"threshold_uncertainty_score":0.999821},"labels":[],"label_agreement":null},{"id":"W4214714868","doi":"10.1111/cag.12756","title":"Spatial variation in bicycling risk based on crowdsourced safety data","year":2022,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Victoria; Université de Sherbrooke; Simon Fraser University","funders":"Public Health Agency of Canada","keywords":"Transport engineering; Poison control; Recreation; Injury prevention; Psychological intervention; Occupational safety and health; Human factors and ergonomics; Geography; Engineering; Environmental health; Psychology; Medicine","score_opus":0.014994897527544052,"score_gpt":0.23245535858321126,"score_spread":0.21746046105566721,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214714868","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9858451,0.00038371125,0.0000504633,0.0024373534,0.0012487767,0.0007248151,0.0027798656,0.00014143952,0.006388504],"genre_scores_gemma":[0.9978752,0.00018212375,0.00009662149,0.000736387,0.00021231371,0.00008612561,0.0006878842,0.000037592137,0.00008574197],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9959239,0.0006311253,0.00055256434,0.00095551607,0.0006298125,0.0013070758],"domain_scores_gemma":[0.9973052,0.0003654097,0.00023068809,0.0011504495,0.00008838882,0.0008598394],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002233542,0.00031162717,0.00036083395,0.0042546676,0.0038255642,0.00015986261,0.0016210116,0.00014790705,0.0009862833],"category_scores_gemma":[0.0004036307,0.00037327257,0.00018927852,0.007279936,0.00096262974,0.00038994662,0.00008684857,0.0006508289,0.0000033877845],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009087952,0.000058169295,0.9849628,0.000011546977,0.00003664538,0.00007216085,0.0037234458,0.0016000192,0.0000020017078,0.0013101692,0.0008358155,0.007296317],"study_design_scores_gemma":[0.00055828,0.00007972382,0.8885411,0.000019200776,0.000048616886,4.423747e-7,0.008385969,0.0013959281,6.5942004e-7,0.0010441946,0.09944456,0.00048130183],"about_ca_topic_score_codex":0.9887982,"about_ca_topic_score_gemma":0.99976146,"teacher_disagreement_score":0.09860875,"about_ca_system_score_codex":0.00044298577,"about_ca_system_score_gemma":0.00085031963,"threshold_uncertainty_score":0.9999269},"labels":[],"label_agreement":null},{"id":"W4220655596","doi":"10.1080/23748834.2022.2027710","title":"Using crowdsourced data to assess the relationship between neighbourhood-level deprivation and the availability of inclusive leisure programmes in Canadian cities","year":2022,"lang":"en","type":"article","venue":"Cities & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research","keywords":"Neighbourhood (mathematics); Metropolitan area; Census; Geography; Environmental health; Medicine; Population","score_opus":0.27514582793043746,"score_gpt":0.40882972912083887,"score_spread":0.1336839011904014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220655596","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98067176,0.0003407467,0.00011089485,0.016824288,0.00008203824,0.0010266848,0.0004670774,0.000015667454,0.0004608469],"genre_scores_gemma":[0.99906665,0.000005521485,0.00018919623,0.0004363095,0.00009128521,0.000038499333,0.00010096514,0.0000072379835,0.000064306725],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99746424,0.0010873408,0.00041251254,0.00026109844,0.0003810232,0.0003938015],"domain_scores_gemma":[0.9978552,0.0012696063,0.00019030258,0.0004615107,0.00006972427,0.00015369344],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.006426446,0.00008787939,0.00023602808,0.00009742169,0.0025916742,0.00008282344,0.0006672255,0.000044016815,0.000065339445],"category_scores_gemma":[0.0008594648,0.000065807886,0.000026658705,0.00060538255,0.0006790118,0.0002449593,0.0002285218,0.0003161097,2.361297e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015778318,0.000008445159,0.9435442,0.000037439964,0.0000048741,1.9428164e-7,0.045470286,0.000027282627,2.6344898e-7,0.009692873,0.000061024475,0.00113732],"study_design_scores_gemma":[0.00020920266,0.000015352349,0.9521547,0.000016749831,0.000009501461,1.1604717e-7,0.038988836,0.000070200906,6.428209e-7,0.006571154,0.0018963666,0.000067208064],"about_ca_topic_score_codex":0.8859232,"about_ca_topic_score_gemma":0.92105746,"teacher_disagreement_score":0.03513425,"about_ca_system_score_codex":0.0005633565,"about_ca_system_score_gemma":0.0029435204,"threshold_uncertainty_score":0.9987068},"labels":[],"label_agreement":null},{"id":"W4220659318","doi":"10.18235/0004064","title":"Impacto de las intervenciones físicas en el transporte público en Medellín (Colombia) como herramientas para reducir la exclusión social","year":2022,"lang":"es","type":"report","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"Inter-American Development Bank","keywords":"Humanities; Political science; Art","score_opus":0.0584928288238447,"score_gpt":0.4055479687993379,"score_spread":0.3470551399754932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220659318","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84693766,0.0012460051,0.00019881446,0.0049069505,0.0025410654,0.0016581184,0.0011449155,0.0005987307,0.14076777],"genre_scores_gemma":[0.9708954,0.0034255725,0.00013469938,0.00026838624,0.0024010278,0.00021789028,0.0011264959,0.00018589142,0.021344636],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9877969,0.0025416138,0.002359877,0.0020758836,0.003247137,0.001978598],"domain_scores_gemma":[0.9956391,0.0008933617,0.0013246884,0.00094857835,0.00036255037,0.0008317074],"candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.008326952,0.0012574507,0.0022051944,0.00044949097,0.0025564574,0.000531463,0.0026946964,0.0019588743,0.018743912],"category_scores_gemma":[0.00026849844,0.0012693221,0.00225535,0.001567177,0.0016243004,0.0008602872,0.0003381939,0.0028091755,0.00007152241],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010128331,0.007685602,0.6703619,0.0029709884,0.0027468218,0.002043775,0.20921767,0.000040843348,0.0006119191,0.004775488,0.044878215,0.05365399],"study_design_scores_gemma":[0.0010570319,0.0003539927,0.5553618,0.00027713212,0.0011311092,0.00004184458,0.019713882,0.000029681532,0.00016230333,0.002862638,0.41714844,0.0018601139],"about_ca_topic_score_codex":0.045554016,"about_ca_topic_score_gemma":0.02213855,"teacher_disagreement_score":0.37227023,"about_ca_system_score_codex":0.002715776,"about_ca_system_score_gemma":0.004678984,"threshold_uncertainty_score":0.9994914},"labels":[],"label_agreement":null},{"id":"W4220691319","doi":"10.32866/001c.33830","title":"COVID-19 and Modal Shift towards Motorized Two-wheelers in Dhaka, Bangladesh","year":2022,"lang":"en","type":"article","venue":"Findings","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Modal shift; Coronavirus disease 2019 (COVID-19); Promotion (chess); Key (lock); Modal; Equity (law); Transport engineering; Gender equity; Business; Geography; Engineering; Sociology; Political science; Computer science; Public transport; Computer security; Medicine; Social science","score_opus":0.030652504339364183,"score_gpt":0.32248143494635806,"score_spread":0.2918289306069939,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220691319","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98947847,0.00009298103,0.000032548858,0.0035133706,0.0003804376,0.00028169333,0.00004957032,0.00008133125,0.006089595],"genre_scores_gemma":[0.99782234,0.000006828923,0.000096217496,0.0006556682,0.0001283122,0.000054093452,0.000016576781,0.000008870871,0.0012110769],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986048,0.0001032453,0.00019505282,0.0003267671,0.0004187707,0.00035140108],"domain_scores_gemma":[0.9994825,0.00007600738,0.000049729497,0.00011543452,0.000010837522,0.00026545778],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010921975,0.0001004442,0.00017451741,0.000115051465,0.0007301676,0.00006191732,0.00030426562,0.000054307722,0.0038988765],"category_scores_gemma":[0.000153671,0.000109708555,0.000055859928,0.0004810927,0.00020403595,0.00023349168,0.000076954966,0.00025530646,0.0000048164916],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006847235,0.00006400892,0.9485503,0.000022163733,0.0000067786777,0.000035042107,0.04446314,0.000017530863,0.00012611249,0.005053453,0.0011899298,0.00040309224],"study_design_scores_gemma":[0.0028248976,0.00008174425,0.7716162,0.000008402752,0.000022338434,8.548845e-7,0.01020738,0.000080207574,0.00005530309,0.020412184,0.19422625,0.00046423395],"about_ca_topic_score_codex":0.020381719,"about_ca_topic_score_gemma":0.0046536564,"teacher_disagreement_score":0.19303633,"about_ca_system_score_codex":0.0003598535,"about_ca_system_score_gemma":0.0004493565,"threshold_uncertainty_score":0.9970117},"labels":[],"label_agreement":null},{"id":"W4220700253","doi":"10.2196/31638","title":"A Reusable Multiplayer Game for Promoting Active School Transport: Development Study","year":2022,"lang":"en","type":"article","venue":"JMIR Serious Games","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Institute for Information and Communications Technology Promotion; Ministry of Science and ICT, South Korea","keywords":"Formative assessment; Focus group; Psychology; Agile software development; Incentive; Construct (python library); Scrum; Medical education; Video game development; Applied psychology; Pedagogy; Game design; Engineering; Computer science; Multimedia; Software development; Medicine; Software; Marketing; Business","score_opus":0.022616356780991758,"score_gpt":0.32061782934684696,"score_spread":0.2980014725658552,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220700253","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99359417,0.00006168076,0.000040323986,0.00031004957,0.00029071613,0.003965108,0.00003477219,0.00020959141,0.001493609],"genre_scores_gemma":[0.991523,0.0000016350042,0.0005688526,0.00008638968,0.00013623026,0.003155139,0.00002641432,0.00002740802,0.004474917],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978312,0.00014038001,0.00038799137,0.00052249816,0.00056548667,0.00055239367],"domain_scores_gemma":[0.99924517,0.00006838073,0.00015963147,0.00023997312,0.00010569187,0.00018116928],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009035473,0.00018159747,0.0002790735,0.00008053714,0.0014280328,0.00006679334,0.00048465957,0.000054273776,0.0009163209],"category_scores_gemma":[0.000064708736,0.00018360815,0.00009579451,0.00037400107,0.00007979118,0.00035770025,0.00004968843,0.00025917173,0.000011227647],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042125862,0.0019040519,0.69441265,0.00006737814,0.00012544966,0.000032245945,0.2672384,0.00003848992,0.00055556773,0.000036865946,0.00041035196,0.03475727],"study_design_scores_gemma":[0.0015363694,0.00035232134,0.7598282,0.000015479029,0.00003711921,4.5353113e-7,0.04843784,0.000028086162,0.0006260571,0.00021603832,0.18851238,0.0004096255],"about_ca_topic_score_codex":0.00077809475,"about_ca_topic_score_gemma":0.0067704683,"teacher_disagreement_score":0.21880056,"about_ca_system_score_codex":0.00033541422,"about_ca_system_score_gemma":0.0006450142,"threshold_uncertainty_score":0.99999696},"labels":[],"label_agreement":null},{"id":"W4220768062","doi":"10.32866/001c.33280","title":"Changes in the Representativeness of Strava Bicycling Data during COVID-19","year":2022,"lang":"en","type":"article","venue":"Findings","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Representativeness heuristic; Coronavirus disease 2019 (COVID-19); Demographics; Population; Geography; Demography; Pandemic; Statistics; Medicine; Mathematics; Sociology","score_opus":0.14464977501880993,"score_gpt":0.4091419395740507,"score_spread":0.26449216455524077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220768062","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956615,0.000056921155,0.000014830365,0.002876427,0.00009387328,0.00018490886,0.00011710948,0.00001716077,0.0009772554],"genre_scores_gemma":[0.9994938,0.0000129028695,0.000020180953,0.00013838895,0.000056388755,0.000017007716,0.00004471613,0.0000034425016,0.00021319918],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99885136,0.00022906151,0.000140979,0.00023524488,0.00037082197,0.00017255501],"domain_scores_gemma":[0.9993525,0.00020961477,0.000073245275,0.00031902746,0.000009046542,0.000036529946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020880238,0.000046170626,0.00009530647,0.000066876666,0.0006647734,0.00002586032,0.0010328,0.000019768077,0.0006787838],"category_scores_gemma":[0.00022965603,0.000039304592,0.000019543497,0.00051748706,0.00014944104,0.00016857506,0.00015893891,0.00014664744,7.9244813e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002021577,0.000044230834,0.9385563,0.000037783007,0.0000038566673,0.000013928659,0.06017949,0.000027275752,0.00049145566,0.00041171288,0.00011811145,0.00009560162],"study_design_scores_gemma":[0.00028781113,0.000014209902,0.9205816,0.00000823926,0.000009683291,4.3080516e-7,0.0648989,0.000014960614,0.00046820164,0.0011718583,0.01245172,0.000092408896],"about_ca_topic_score_codex":0.010461731,"about_ca_topic_score_gemma":0.009981559,"teacher_disagreement_score":0.017974764,"about_ca_system_score_codex":0.000065962064,"about_ca_system_score_gemma":0.00012199093,"threshold_uncertainty_score":0.99612767},"labels":[],"label_agreement":null},{"id":"W4220781100","doi":"10.31235/osf.io/ubszd","title":"Mapping Newcomers’ Commute in Calgary","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Transit (satellite); Transport engineering; Business; Job creation; Settlement (finance); Marketing; Public transport; Labour economics; Engineering; Economics; Finance","score_opus":0.06511428064970332,"score_gpt":0.3390261066632416,"score_spread":0.2739118260135383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220781100","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.58208466,0.0003000123,0.00024136282,0.0016457384,0.0009025064,0.00039371368,0.00000935848,0.00013714873,0.4142855],"genre_scores_gemma":[0.9890115,0.00009426384,0.0006613999,0.00039721574,0.000122031815,0.00005885343,0.0000768296,0.00001087698,0.009567006],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99834114,0.00025035074,0.00032103455,0.00037922018,0.00038802697,0.00032020916],"domain_scores_gemma":[0.99933994,0.000077011704,0.000091638074,0.00038253702,0.000021437001,0.00008742199],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011090009,0.00013578722,0.0002690753,0.00014422908,0.0003299737,0.00007620925,0.00083370303,0.00018433284,0.010119146],"category_scores_gemma":[0.000026305544,0.00014385169,0.00013308322,0.0003300101,0.00016381417,0.00009629821,0.0005037124,0.0009758926,0.000013984933],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000050489066,0.00008063519,0.9716712,0.00005149495,0.000012676359,0.00002688897,0.021637026,0.00002867409,0.0000023750317,0.0021030076,0.00095177104,0.0034291649],"study_design_scores_gemma":[0.00021152783,0.0000053022286,0.8008038,0.000047705373,0.000008191832,3.870105e-8,0.013337154,0.00009097944,0.0000030359834,0.016814549,0.16826913,0.00040859598],"about_ca_topic_score_codex":0.13824745,"about_ca_topic_score_gemma":0.08141244,"teacher_disagreement_score":0.40692687,"about_ca_system_score_codex":0.00029734327,"about_ca_system_score_gemma":0.00042692022,"threshold_uncertainty_score":0.9907857},"labels":[],"label_agreement":null},{"id":"W4220783081","doi":"10.1186/s12889-022-12747-3","title":"Rethinking walkability and developing a conceptual definition of active living environments to guide research and practice","year":2022,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":79,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Saskatchewan; Université de Montréal; McGill University; Simon Fraser University; Dalhousie University; University of Toronto; Western University; Centre Hospitalier de l’Université de Montréal; University of Calgary; Carleton University; University of British Columbia; Memorial University of Newfoundland","funders":"Medical Research Council; Canadian Institutes of Health Research; Medical Research Council Canada","keywords":"Walkability; Conceptualization; Built environment; Public health; Active living; Level design; Conceptual framework; Conceptual model; Environmental health; Medicine; Sociology; Computer science; Nursing; Engineering; Social science; Civil engineering","score_opus":0.30728482598878804,"score_gpt":0.44554936231752307,"score_spread":0.13826453632873503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220783081","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97959304,0.00017470322,0.0012899047,0.013077008,0.000060261842,0.00052178686,0.00001939927,0.000020277725,0.0052436115],"genre_scores_gemma":[0.98845625,0.000067704816,0.010696692,0.00061208836,0.000036677986,0.000046635265,0.000006293312,0.000005657522,0.00007199988],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9956704,0.0024410114,0.00033128198,0.00035853882,0.00076700316,0.00043179895],"domain_scores_gemma":[0.9968473,0.002506715,0.00015072964,0.00014698229,0.000102266924,0.00024605752],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.018081373,0.00006221902,0.00015447506,0.00010401618,0.001635579,0.0000622071,0.00016592741,0.000040462564,0.00010635614],"category_scores_gemma":[0.005474331,0.000068245885,0.000014117292,0.00047224743,0.0005109402,0.00056986016,0.0002291008,0.00029813574,8.352112e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008194785,0.00028442751,0.45053768,0.00012011982,0.000014387574,0.0000015155575,0.46142593,8.869141e-7,0.00007363356,0.06705633,0.00019045355,0.020212682],"study_design_scores_gemma":[0.00017490782,0.00020099246,0.81005967,0.000034338787,0.0000026926425,0.0000012142752,0.13853192,0.0000048764323,0.0000078063085,0.009746377,0.041121084,0.00011413105],"about_ca_topic_score_codex":0.012842563,"about_ca_topic_score_gemma":0.004754704,"teacher_disagreement_score":0.35952199,"about_ca_system_score_codex":0.0008691497,"about_ca_system_score_gemma":0.002119577,"threshold_uncertainty_score":0.9996641},"labels":[],"label_agreement":null},{"id":"W4220825093","doi":"10.1111/cag.12760","title":"L'observation systématique des images de <i>Google Street View</i> pour mesurer l'environnement urbain à Gatineau et Ottawa","year":2022,"lang":"fr","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université du Québec en Outaouais","funders":"Fonds de Recherche du Québec-Société et Culture","keywords":"Humanities; Geography; Forestry; Political science; Cartography; Philosophy","score_opus":0.013803323310350956,"score_gpt":0.23193078656826416,"score_spread":0.2181274632579132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220825093","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9200499,0.042721033,0.00006899099,0.023666494,0.0018927404,0.0011833736,0.003225466,0.00018456191,0.0070074485],"genre_scores_gemma":[0.9811294,0.004724469,0.001643774,0.0041979733,0.0004004768,0.00061933097,0.0005793042,0.000126315,0.0065789376],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99218845,0.0016825994,0.0011332266,0.0012002639,0.00085114245,0.0029442878],"domain_scores_gemma":[0.99570096,0.00036989764,0.00052316685,0.0008750729,0.00032459706,0.0022062846],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.0030661672,0.0008626712,0.00082213775,0.0022956342,0.004955923,0.00035551967,0.0014493077,0.00034835565,0.0027295095],"category_scores_gemma":[0.00015561434,0.0010568646,0.00075656374,0.008571288,0.004827225,0.0011241296,0.00012825697,0.00093287206,0.000013661151],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016505384,0.00018541321,0.86052895,0.00033498422,0.0003268582,0.00016830486,0.010630112,0.00035877735,0.000036469955,0.06689103,0.05440184,0.0061207605],"study_design_scores_gemma":[0.00041796727,0.00016219175,0.46746963,0.00013591144,0.000244897,0.000009992398,0.035197716,0.00003316573,0.00002123644,0.010482681,0.484889,0.0009356021],"about_ca_topic_score_codex":0.96276504,"about_ca_topic_score_gemma":0.9989553,"teacher_disagreement_score":0.43048716,"about_ca_system_score_codex":0.001487319,"about_ca_system_score_gemma":0.0022551988,"threshold_uncertainty_score":0.9991882},"labels":[],"label_agreement":null},{"id":"W4220846034","doi":"10.1080/00131911.2022.2034748","title":"Transportation to school and academic outcomes: a systematic review","year":2022,"lang":"en","type":"review","venue":"Educational Review","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Inclusion (mineral); Quality (philosophy); Sample (material); Psychology; Medical education; Medicine; Social psychology","score_opus":0.11925746638958515,"score_gpt":0.4694636551513914,"score_spread":0.3502061887618062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220846034","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[4.244967e-7,0.9841235,0.0000029361781,0.0056909574,0.0003915039,0.008624809,0.00011973234,0.000039492283,0.0010066117],"genre_scores_gemma":[3.6813955e-7,0.9845766,0.00008778554,0.005905187,0.00019634633,0.005340602,0.0006180377,0.000032246113,0.0032428738],"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","domain_scores_codex":[0.9955291,0.0008744917,0.0017865953,0.00060268864,0.00090344413,0.00030368057],"domain_scores_gemma":[0.99729836,0.00087914476,0.0008052684,0.0004774506,0.000103137485,0.00043662763],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0031970902,0.0003893637,0.0031330676,0.0001240677,0.0003989336,0.00003817973,0.0007760873,0.0001410851,0.009460353],"category_scores_gemma":[0.0032971676,0.0003017416,0.0006479527,0.0011587433,0.000074149386,0.00023230749,0.00001858713,0.00063684833,0.00040096717],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[1.384171e-7,0.000026482816,0.000116451214,0.95248383,0.000051190123,6.102126e-7,0.00012442493,2.7298601e-9,4.5917126e-10,0.00083214365,0.007853628,0.03851108],"study_design_scores_gemma":[0.000009313893,0.0000037952825,0.00009660177,0.45722112,0.0021967967,6.8996303e-7,0.000016504328,1.6633568e-9,1.9640627e-10,0.00008248414,0.54020387,0.00016880287],"about_ca_topic_score_codex":0.00013145187,"about_ca_topic_score_gemma":0.00011487961,"teacher_disagreement_score":0.53235024,"about_ca_system_score_codex":0.00043128055,"about_ca_system_score_gemma":0.0028480557,"threshold_uncertainty_score":0.9999435},"labels":[],"label_agreement":null},{"id":"W4220918310","doi":"10.1016/j.healthplace.2022.102767","title":"Does living near hospital obscure the association between active living environments and hospitalization?","year":2022,"lang":"en","type":"article","venue":"Health & Place","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University Health Centre; Queen's University; McGill University; Statistics Canada; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Odds; Kilometer; Demography; Logistic regression; Odds ratio; Medicine; Geography; Record linkage; Gerontology; Environmental health; Population","score_opus":0.008938019473159572,"score_gpt":0.27192971277832817,"score_spread":0.2629916933051686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220918310","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99021053,0.00026199775,0.00007899749,0.007908663,0.0005311093,0.00050752633,0.000053856234,0.00004439583,0.00040292332],"genre_scores_gemma":[0.99706334,0.00017245884,0.000041441854,0.0003662716,0.00026980627,0.00003403194,0.000013332935,0.000009822626,0.002029492],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99794996,0.0007072083,0.00022914508,0.00026513814,0.00051930815,0.00032926555],"domain_scores_gemma":[0.99865085,0.0007897708,0.00030596784,0.0001255297,0.000015542339,0.00011233482],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0023566773,0.00008582512,0.00014882136,0.000016866681,0.003227427,0.00010347935,0.00019205442,0.00005399082,0.00023031342],"category_scores_gemma":[0.0002832035,0.0000607687,0.000040821837,0.00018506161,0.00010717832,0.00031303047,0.000086446606,0.00027548324,0.0000044105154],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000014606667,0.000047337944,0.9414388,0.00000862931,0.000017802897,2.7539488e-7,0.05596593,0.000007641564,1.793362e-7,0.000065551365,0.0005384247,0.0019079744],"study_design_scores_gemma":[0.0000555658,0.00005505069,0.94543195,0.000015515663,0.0000146490265,1.6851752e-8,0.0130330445,0.000023065637,5.0175197e-7,0.00009781957,0.041186895,0.00008595205],"about_ca_topic_score_codex":0.0029481072,"about_ca_topic_score_gemma":0.0015284017,"teacher_disagreement_score":0.042932883,"about_ca_system_score_codex":0.0006678203,"about_ca_system_score_gemma":0.00025483206,"threshold_uncertainty_score":0.99807024},"labels":[],"label_agreement":null},{"id":"W4220959185","doi":"10.1007/s42413-022-00163-9","title":"The Participatory Neighborhood Observation Grid: Multiple Case Study of Public Housing Tenants Evaluating their Residential Environment","year":2022,"lang":"en","type":"article","venue":"International Journal of Community Well-Being","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke; Université de Montréal; Institut National de la Recherche Scientifique; Université Laval; Université du Québec à Montréal","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Citizen journalism; Grid; Public housing; Environmental planning; Architectural engineering; Business; Computer science; Geography; Civil engineering; Engineering; World Wide Web; Geodesy","score_opus":0.14558342638983143,"score_gpt":0.3759637169645017,"score_spread":0.23038029057467027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220959185","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99739194,0.00007801959,0.00018690887,0.0008608068,0.00096506346,0.00020504558,0.0000040557147,0.000010780888,0.00029735145],"genre_scores_gemma":[0.9995534,0.00002412327,0.00003653969,0.000061475126,0.0002803865,0.0000103769235,0.00000424994,0.000010286747,0.00001917263],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9947972,0.0026877131,0.0008083919,0.00007851182,0.0014138161,0.00021431365],"domain_scores_gemma":[0.99709576,0.0012747173,0.00091203174,0.00025622826,0.00038344626,0.00007782617],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.009215246,0.00009896193,0.0001739372,0.00012131245,0.0029713712,0.0001740158,0.0011835843,0.000027785856,0.00012967961],"category_scores_gemma":[0.00050336804,0.00007788576,0.00012108875,0.00016474412,0.00016835556,0.0005931259,0.0003011872,0.0007495162,6.183548e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010529193,0.0011269838,0.8604843,0.0000038147637,0.00021370235,0.00013054608,0.11911083,0.001752814,0.0004775658,0.00016043367,0.000029838358,0.016403869],"study_design_scores_gemma":[0.0022654287,0.00053330965,0.40282825,0.00004464485,0.000116947565,0.00006327555,0.58430743,0.002137005,0.00044995273,0.005442191,0.001608277,0.00020331363],"about_ca_topic_score_codex":0.0078001316,"about_ca_topic_score_gemma":0.008978046,"teacher_disagreement_score":0.46519658,"about_ca_system_score_codex":0.00035661657,"about_ca_system_score_gemma":0.00023571285,"threshold_uncertainty_score":0.998807},"labels":[],"label_agreement":null},{"id":"W4220964810","doi":"10.1016/j.envint.2022.107182","title":"Development of a neighborhood drivability index and its association with transportation behavior in Toronto","year":2022,"lang":"en","type":"article","venue":"Environment International","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto; St. Michael's Hospital; Institute for Clinical Evaluative Sciences","funders":"Canadian Institutes of Health Research; University of Toronto; European Foundation for the Study of Diabetes","keywords":"Neighbourhood (mathematics); Public transport; Transport engineering; Built environment; Urban sprawl; Pedestrian; Geography; Land use; Index (typography); Exploratory factor analysis; Walkability; Poison control; Environmental health; Engineering; Statistics; Computer science; Structural equation modeling; Mathematics; Civil engineering; Medicine","score_opus":0.010833814320145985,"score_gpt":0.2577207709480401,"score_spread":0.2468869566278941,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220964810","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99823415,0.000038413324,0.000104578336,0.00019560991,0.00007144542,0.00021286285,0.00006413281,0.00000758224,0.0010712465],"genre_scores_gemma":[0.9992663,0.0000112390735,0.00026902094,0.000015540423,0.000015269812,0.00011312153,0.000073058836,0.0000034706736,0.00023293517],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99887204,0.000042833526,0.0002192522,0.00016041903,0.0006113232,0.00009412381],"domain_scores_gemma":[0.99977076,0.000023432265,0.0001231048,0.000042277028,0.000011826614,0.000028579974],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004145332,0.00005249666,0.00007342048,0.000024407434,0.000121886165,0.0000061843607,0.000111814195,0.000027215732,0.0028065862],"category_scores_gemma":[0.0000069219477,0.00005550413,0.000017123466,0.00003815947,0.000024882655,0.00022798487,0.000011926256,0.00007191086,7.3802755e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039949533,0.00028786296,0.98945653,0.000002373482,0.000011715287,0.0000010514707,0.008139981,0.000045284956,0.00029660852,0.0004708064,0.0000022893903,0.0012455161],"study_design_scores_gemma":[0.00034679822,0.000018976718,0.99346143,0.000002300923,0.000007193329,3.0158336e-8,0.0022969272,0.00004025203,0.00020156294,0.000061880164,0.00349971,0.00006292751],"about_ca_topic_score_codex":0.0008598592,"about_ca_topic_score_gemma":0.01138206,"teacher_disagreement_score":0.010522201,"about_ca_system_score_codex":0.0013877341,"about_ca_system_score_gemma":0.00006549876,"threshold_uncertainty_score":0.998105},"labels":[],"label_agreement":null},{"id":"W4220968033","doi":"10.1186/s12966-022-01279-z","title":"Multi-use physical activity trails in an urban setting and cardiovascular disease: a difference-in-differences analysis of a natural experiment in Winnipeg, Manitoba, Canada","year":2022,"lang":"en","type":"article","venue":"International Journal of Behavioral Nutrition and Physical Activity","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"St. Michael's Hospital; University of Toronto; Public Health Ontario; University of Manitoba; Children's Hospital Research Institute of Manitoba; Manitoba Health","funders":"Canadian Institutes of Health Research; Heart and Stroke Foundation of Canada","keywords":"Medicine; Dyslipidemia; Disease; Demography; Diabetes mellitus; Natural experiment; Gerontology; Physical therapy; Internal medicine","score_opus":0.051665378992397766,"score_gpt":0.34174320469425445,"score_spread":0.2900778257018567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220968033","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99927264,0.00012876367,0.000010597823,0.00017711721,0.0001085975,0.00016432576,0.00013325107,0.0000033340195,0.0000013587578],"genre_scores_gemma":[0.9998212,0.000017540797,0.000026353106,0.000007925756,0.000088543144,0.000021435348,0.000010044672,0.0000038472836,0.0000031460493],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998104,0.00042875955,0.00021035266,0.0002443458,0.0008496373,0.00016292551],"domain_scores_gemma":[0.99940777,0.00011752635,0.00017171924,0.0000805049,0.00009846691,0.00012398865],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026810568,0.00012119242,0.00045588324,0.00026098406,0.000088535315,0.00006184155,0.00020592174,0.000024651154,0.000008646975],"category_scores_gemma":[0.000016433372,0.00011609038,0.00020341104,0.00038621074,0.00013852451,0.0006432636,0.000045311946,0.00038603504,9.097711e-9],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040677094,0.0059781834,0.9714206,0.000010082566,0.00011559338,0.00010034704,0.004076115,0.0000710209,0.00467522,0.000021360655,0.0000014087763,0.013123287],"study_design_scores_gemma":[0.0010293556,0.000059893944,0.99184257,0.000036823232,0.00013587944,5.3994245e-7,0.002454703,0.003934474,0.0003133677,0.00006177937,0.000011038278,0.00011957733],"about_ca_topic_score_codex":0.2754602,"about_ca_topic_score_gemma":0.37726438,"teacher_disagreement_score":0.10180418,"about_ca_system_score_codex":0.00034734924,"about_ca_system_score_gemma":0.0001700781,"threshold_uncertainty_score":0.7293646},"labels":[],"label_agreement":null},{"id":"W4220970191","doi":"10.1155/2022/5705080","title":"Modeling Spatial Riding Characteristics of Bike-Sharing Users Using Hotspot Areas-Based Association Rule Mining","year":2022,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Hotspot (geology); Bike sharing; Association rule learning; Kernel density estimation; Computer science; Land use; Business; Transport engineering; Data mining; Statistics; Civil engineering; Engineering","score_opus":0.030163575751791266,"score_gpt":0.3011558718197016,"score_spread":0.2709922960679103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220970191","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97851276,0.000048823524,0.020442737,0.00008348538,0.0006982844,0.00012301552,0.00004710887,0.0000180836,0.000025683692],"genre_scores_gemma":[0.99468815,0.000016090744,0.005023063,0.000024286448,0.00018141903,0.0000028515294,0.00003516469,0.000016491224,0.000012458219],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99775785,0.00008240483,0.0008841743,0.0001617198,0.00087941147,0.00023441565],"domain_scores_gemma":[0.998041,0.000104015635,0.0012938981,0.000083344785,0.0003951401,0.000082608116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012844446,0.00011066552,0.0003167648,0.00020540346,0.0004970175,0.000029184874,0.00018432173,0.000060078022,0.00008889022],"category_scores_gemma":[0.00012795177,0.00012791036,0.00018769983,0.0003801484,0.000030121284,0.00067283266,0.0000032024677,0.00026835638,1.0480481e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022114236,0.00008038669,0.5303478,0.000033798624,0.00002771238,0.0000133333515,0.006969054,0.45534384,0.0055315066,0.000021207728,5.8099414e-7,0.0014095859],"study_design_scores_gemma":[0.0022864726,0.00018826908,0.91148293,0.0002799886,0.00039670127,9.581343e-7,0.015120429,0.0667863,0.0021027038,0.00081233797,0.00013233216,0.0004105486],"about_ca_topic_score_codex":0.00061028055,"about_ca_topic_score_gemma":0.0006021804,"teacher_disagreement_score":0.38855755,"about_ca_system_score_codex":0.00052246073,"about_ca_system_score_gemma":0.0003293945,"threshold_uncertainty_score":0.52160335},"labels":[],"label_agreement":null},{"id":"W4220984536","doi":"10.1177/09754253221078164","title":"PMOTO: A Policy Evaluation Model for Moto Usage in Urban Areas","year":2022,"lang":"en","type":"article","venue":"Environment and Urbanization Asia","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Optech (Canada)","funders":"","keywords":"Ho chi minh; Business; Public transport; Urban policy; Transport engineering; Environmental economics; Environmental planning; Urban planning; Economics; Scale (ratio); Geography","score_opus":0.02688682778481102,"score_gpt":0.29277091846098746,"score_spread":0.26588409067617647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220984536","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97711396,0.00032425372,0.012566483,0.00196713,0.0000752036,0.0016733399,0.000044479322,0.0000419576,0.0061932155],"genre_scores_gemma":[0.99397945,0.00002995234,0.00022871768,0.00013046376,0.00008729728,0.00025310536,0.000117209944,0.000010861468,0.005162912],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99885845,0.00012348933,0.00017994302,0.00024991084,0.00040321992,0.00018500898],"domain_scores_gemma":[0.9997228,0.000024275994,0.00007238624,0.00010698096,0.00001203975,0.00006153606],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008541563,0.00007979499,0.00009157283,0.000094354364,0.00050671626,0.000033311226,0.000109499335,0.000039431994,0.00081350846],"category_scores_gemma":[0.000053858217,0.00009077611,0.000029456764,0.00021790314,0.000068702866,0.00020088439,0.00003112745,0.00006851422,0.0000032048972],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039990795,0.00021808314,0.9505162,0.0000092011915,0.0000075278263,6.6992686e-7,0.017863397,0.016089788,0.00008474637,0.009900193,0.0009956646,0.004274542],"study_design_scores_gemma":[0.0016334242,0.00007241339,0.6178018,0.0000056607673,0.000050788207,2.1053529e-7,0.0024565088,0.31077966,0.000030417395,0.018194793,0.048636366,0.00033797364],"about_ca_topic_score_codex":0.00020079422,"about_ca_topic_score_gemma":0.00018413305,"teacher_disagreement_score":0.3327144,"about_ca_system_score_codex":0.00034658483,"about_ca_system_score_gemma":0.00012039269,"threshold_uncertainty_score":0.89073473},"labels":[],"label_agreement":null},{"id":"W4221024050","doi":"10.1016/j.envres.2022.113146","title":"Impact of land use and food environment on risk of type 2 diabetes: A national study of veterans, 2008–2018","year":2022,"lang":"en","type":"article","venue":"Environmental Research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Center for Chronic Disease Prevention and Health Promotion; National Institute on Aging; School of Medicine, New York University; Centers for Disease Control and Prevention; Drexel University; York University; Johns Hopkins University; Pennsylvania Department of Health","keywords":"Quartile; Medicine; Type 2 diabetes; Environmental health; Demography; Gerontology; Diabetes mellitus; Confidence interval; Internal medicine","score_opus":0.0912290395961063,"score_gpt":0.36847215114304943,"score_spread":0.27724311154694314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4221024050","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99880856,0.00016686977,3.407379e-7,0.000009967714,0.000017317792,0.0004084685,0.00037735366,0.0000020983841,0.00020899545],"genre_scores_gemma":[0.9997077,0.00014382022,0.000010013228,0.0000017418852,0.000014401281,0.000018543235,0.000014865349,0.0000066583857,0.00008225262],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99736214,0.00057305815,0.00020702223,0.00020383408,0.0014571376,0.0001968381],"domain_scores_gemma":[0.9993449,0.0003271717,0.00009061789,0.00015901281,0.000010518439,0.00006779774],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014407787,0.00006609386,0.00014799638,0.000105680985,0.00026239647,0.0000082810575,0.0001839107,0.000026482754,0.0011398065],"category_scores_gemma":[0.00007005398,0.000059043614,0.000052160518,0.00015001201,0.00049206865,0.000103751125,0.00010964422,0.0002078709,0.0000027267956],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013840583,0.0018817516,0.99165034,0.000006293063,0.000074309595,5.5741685e-7,0.0043032104,0.00020195788,0.0010151326,0.000004621312,0.00003342653,0.00068997376],"study_design_scores_gemma":[0.0005518576,0.0038383112,0.99306047,0.0000036541162,0.000010401257,2.224127e-8,0.0019679982,0.000023934967,0.00016648861,0.00018252195,0.00014551598,0.000048802678],"about_ca_topic_score_codex":0.0020960576,"about_ca_topic_score_gemma":0.00020846845,"teacher_disagreement_score":0.0023352122,"about_ca_system_score_codex":0.00022971544,"about_ca_system_score_gemma":0.000055761622,"threshold_uncertainty_score":0.99977326},"labels":[],"label_agreement":null},{"id":"W4221082645","doi":"10.32866/001c.33884","title":"From Riding to Driving: the Effects of the COVID-19 Pandemic on Public Transit in Metro Vancouver","year":2022,"lang":"en","type":"article","venue":"Findings","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Pandemic; Public transport; Coronavirus disease 2019 (COVID-19); Transit (satellite); Crowding; Perception; Population; Feeling; Business; Geography; Demographic economics; Psychology; Transport engineering; Medicine; Environmental health; Engineering; Social psychology; Economics","score_opus":0.03753946908165749,"score_gpt":0.30326154256534127,"score_spread":0.26572207348368376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4221082645","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9938194,0.000028143259,0.000058374033,0.0041684317,0.00079782004,0.0004174755,0.00001777116,0.000032735676,0.00065983523],"genre_scores_gemma":[0.9980978,0.0000017519562,0.00000805237,0.0014514327,0.00007261695,0.00004939252,0.0000020086723,0.0000069395887,0.0003100145],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985249,0.0002998494,0.0001738947,0.00023550272,0.0005087351,0.00025711517],"domain_scores_gemma":[0.99869084,0.00091806584,0.00006670586,0.00021753913,0.000012451585,0.00009438165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012382626,0.00008111997,0.00014410513,0.00007844935,0.00076939317,0.000036016005,0.0007469763,0.00004135161,0.00041006925],"category_scores_gemma":[0.00075689534,0.00005323625,0.00010040673,0.000908707,0.00010872102,0.00011042391,0.000064358865,0.000288702,0.0000026255723],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013507196,0.000043173055,0.96884066,0.000009227269,0.000007939834,0.0000018959831,0.026681308,0.00002838367,0.00048674148,0.00033317093,0.0033122697,0.00024171096],"study_design_scores_gemma":[0.0006252465,0.000070188085,0.8663243,0.000028592016,0.000030354346,3.5308883e-8,0.010058993,0.000012280969,0.00073411386,0.004304468,0.11762451,0.00018690515],"about_ca_topic_score_codex":0.0071930853,"about_ca_topic_score_gemma":0.09533703,"teacher_disagreement_score":0.11431223,"about_ca_system_score_codex":0.00040364207,"about_ca_system_score_gemma":0.00019825234,"threshold_uncertainty_score":0.9994181},"labels":[],"label_agreement":null},{"id":"W4223557857","doi":"10.3389/fspor.2022.825224","title":"Neighborhood Walking and Social Connectedness","year":2022,"lang":"en","type":"article","venue":"Frontiers in Sports and Active Living","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Social connectedness; Sociology; Psychology; Social psychology","score_opus":0.009111426896913051,"score_gpt":0.24382981107997764,"score_spread":0.2347183841830646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4223557857","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99304324,0.00038582057,0.00019916415,0.0003156885,0.00061518664,0.00014125044,0.000010788334,0.000032258107,0.0052565876],"genre_scores_gemma":[0.999327,0.000035706587,0.00012337572,0.00011967881,0.00012755378,0.000015827174,0.0000037957884,0.000007850927,0.00023919009],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990141,0.000097895754,0.00013713689,0.0002668722,0.00023473376,0.00024926275],"domain_scores_gemma":[0.9997562,0.000050797138,0.000079819656,0.000048601138,0.00001726003,0.000047300302],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005339904,0.000085489184,0.00018067237,0.00008546095,0.0011485127,0.000051435403,0.000092636474,0.000042680047,0.00024300045],"category_scores_gemma":[0.000024595332,0.00009318472,0.000027372707,0.0001982151,0.00020197674,0.00031471104,0.000069629656,0.00021569259,4.224822e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015160301,0.00003927049,0.9145571,0.000008195746,0.00000585794,0.000014302006,0.04814364,5.7245967e-7,0.0000046771806,0.00066783093,0.00021633646,0.036327064],"study_design_scores_gemma":[0.00013425901,0.000010147519,0.9151371,0.000010856134,0.000011152753,4.495775e-7,0.07470273,0.000033494314,0.000001953715,0.0029382342,0.0068795374,0.00014006541],"about_ca_topic_score_codex":0.0005721692,"about_ca_topic_score_gemma":0.00026582743,"teacher_disagreement_score":0.036187,"about_ca_system_score_codex":0.00008821833,"about_ca_system_score_gemma":0.000056830457,"threshold_uncertainty_score":0.8833547},"labels":[],"label_agreement":null},{"id":"W4224061937","doi":"10.1155/2022/6695977","title":"A Choice Behavior Model of Bike-Sharing Based on User Perception, Psychological Expectations, and Loyalty","year":2022,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Ministry of Education, India","keywords":"Loyalty; Sharing economy; Perception; Quality (philosophy); Bike sharing; Selection (genetic algorithm); Business; Marketing; Transport engineering; Advertising; Psychology; Computer science; Engineering; World Wide Web","score_opus":0.0372001774412309,"score_gpt":0.3519926174695548,"score_spread":0.3147924400283239,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224061937","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99612665,0.000047115067,0.0031705427,0.00021432873,0.00013826793,0.00016840031,0.00003230805,0.000013585145,0.00008880975],"genre_scores_gemma":[0.995301,0.000016445943,0.0044710385,0.00007064864,0.000043855267,0.0000203702,0.000019414436,0.0000074504374,0.000049740655],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99868995,0.000053086675,0.00046979683,0.00016421669,0.0005031782,0.000119776996],"domain_scores_gemma":[0.99923754,0.000059299622,0.00037111496,0.00008795192,0.00016631589,0.00007778156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035435215,0.000078639074,0.00016989454,0.00012744915,0.0003029828,0.000012530042,0.00015552992,0.000039560917,0.00019698631],"category_scores_gemma":[0.00002713463,0.000074829615,0.00010117937,0.00022727519,0.00008983747,0.00038397376,0.0000014917247,0.00022209184,2.0697948e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047904538,0.0008398025,0.810287,0.000025937905,0.000010107919,0.000010700277,0.016497942,0.16174054,0.0049435217,0.00043312303,0.000023372037,0.0047088843],"study_design_scores_gemma":[0.0008942989,0.00024615412,0.9907804,0.00001897063,0.0000574461,2.9739036e-7,0.0065560467,0.0006523719,0.000056844034,0.0005499829,0.00009734858,0.00008979916],"about_ca_topic_score_codex":0.000055044933,"about_ca_topic_score_gemma":0.00034393198,"teacher_disagreement_score":0.18049343,"about_ca_system_score_codex":0.00006793797,"about_ca_system_score_gemma":0.000065054395,"threshold_uncertainty_score":0.3051463},"labels":[],"label_agreement":null},{"id":"W4224236076","doi":"10.1016/j.trip.2022.100602","title":"Is the 15-minute city within reach? Evaluating walking and cycling accessibility to grocery stores in Vancouver","year":2022,"lang":"en","type":"article","venue":"Transportation Research Interdisciplinary Perspectives","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":111,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"Wellcome Trust","keywords":"Cycling; Pedestrian; Grocery store; Population; Business; Grocery shopping; Transport engineering; Gerontology; Geography; Marketing; Environmental health; Medicine; Engineering","score_opus":0.12476830878176201,"score_gpt":0.4784337415017493,"score_spread":0.3536654327199873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224236076","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98939097,0.00035269567,0.00008945373,0.006550539,0.00024879433,0.00109324,0.000059028596,0.00006852821,0.0021467507],"genre_scores_gemma":[0.9982467,0.0000163789,0.0003305343,0.000093162605,0.00013508846,0.00030530323,0.000011515593,0.000020068428,0.0008412472],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9951048,0.0010974332,0.0005759071,0.0009310162,0.001665143,0.00062569836],"domain_scores_gemma":[0.99824774,0.00069996907,0.00013580844,0.00037030398,0.00035097767,0.00019520507],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0093402155,0.00018663007,0.0002644643,0.00038483433,0.0036019904,0.00016882249,0.0007363429,0.00006826274,0.0011329931],"category_scores_gemma":[0.00026228523,0.00015913474,0.000111870664,0.0015354232,0.0007944461,0.0007688394,0.00020536965,0.001120375,0.0000026924406],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037714947,0.00017756062,0.37998283,0.000030218462,0.000019225869,0.000014140724,0.6169297,0.0001922412,0.00025785784,0.0005784192,0.0003388087,0.0011018438],"study_design_scores_gemma":[0.0002360749,0.00012475048,0.6144733,0.000038423368,0.000009821636,1.0889564e-7,0.37564152,0.00024264163,0.000062772946,0.008912175,0.00012259616,0.0001358477],"about_ca_topic_score_codex":0.0053990087,"about_ca_topic_score_gemma":0.11683485,"teacher_disagreement_score":0.24128819,"about_ca_system_score_codex":0.000751986,"about_ca_system_score_gemma":0.00037894884,"threshold_uncertainty_score":0.9997801},"labels":[],"label_agreement":null},{"id":"W4224255315","doi":"10.1080/17483107.2022.2063422","title":"Qualitative experiences of new motorised mobility scooter users relevant to their scooter skills: a secondary analysis","year":2022,"lang":"en","type":"article","venue":"Disability and Rehabilitation Assistive Technology","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver Coastal Health; Western University; University of British Columbia; Nova Scotia Health Authority; Dalhousie University","funders":"Canadian Institutes of Health Research","keywords":"Transport engineering; Engineering; Qualitative research; Qualitative analysis; Human factors and ergonomics; Applied psychology; Physical medicine and rehabilitation; Psychology; Aeronautics; Medicine; Poison control; Medical emergency; Sociology","score_opus":0.016636511791671832,"score_gpt":0.34298967838652095,"score_spread":0.32635316659484914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224255315","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9914441,0.00013049202,0.0010403597,0.0054322476,0.00019480934,0.001075094,0.00016008549,0.000141099,0.00038172264],"genre_scores_gemma":[0.99635005,0.000005587836,0.0028822364,0.00007975302,0.000024234323,0.00050816574,0.000023093264,0.000010363013,0.00011654552],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9960534,0.0012124991,0.000834578,0.000973604,0.00051485345,0.00041104417],"domain_scores_gemma":[0.9968992,0.0016750895,0.00030694698,0.00063539104,0.00026417538,0.00021922424],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0026349744,0.00024234953,0.00069799786,0.0004383598,0.0007830125,0.000029588087,0.00049029646,0.00016585845,0.0014140346],"category_scores_gemma":[0.0017164097,0.00021766422,0.00032501426,0.0033277737,0.0039610886,0.00037478725,0.00019374875,0.00040294052,0.0000028470797],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001690268,0.0005316284,0.7038605,0.00003874148,0.00012578936,3.650813e-7,0.28816244,0.000028077522,0.00007104116,0.0011487147,0.00004802144,0.0058156294],"study_design_scores_gemma":[0.00024529142,0.0002890956,0.5238488,0.000007444148,0.00006573748,6.77575e-8,0.46985924,0.000015951924,0.0000797021,0.0047797635,0.0006467999,0.00016211091],"about_ca_topic_score_codex":0.0073280693,"about_ca_topic_score_gemma":0.011063441,"teacher_disagreement_score":0.1816968,"about_ca_system_score_codex":0.0006706418,"about_ca_system_score_gemma":0.0005324895,"threshold_uncertainty_score":0.9994988},"labels":[],"label_agreement":null},{"id":"W4224291201","doi":"10.1177/03611981221085531","title":"The Impact of a Single Bus Rapid Transit Corridor on Transit Ridership: The Winnipeg Example","year":2022,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Bus rapid transit; Transport engineering; Transit (satellite); Carpool; Cluster (spacecraft); Flexibility (engineering); Public transport; Computer science; Engineering; Statistics; Mathematics","score_opus":0.16603278136008942,"score_gpt":0.41503254801914746,"score_spread":0.24899976665905804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224291201","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9842816,0.0007599682,0.00027817098,0.010850191,0.0006805923,0.0019042576,0.00026971937,0.000033353004,0.0009421382],"genre_scores_gemma":[0.99726653,0.00076074153,0.000058780435,0.000054059034,0.00027615932,0.00014217055,0.000027333816,0.00005802214,0.0013562243],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9835175,0.0053622033,0.0018525716,0.00053400197,0.007297677,0.00143602],"domain_scores_gemma":[0.99081117,0.0043033794,0.0007772208,0.0008820729,0.002774136,0.00045201415],"candidate_categories":["sts","research_integrity","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.016378308,0.00033435354,0.0005941643,0.00063338253,0.0059387446,0.00026176954,0.0032289177,0.00016470058,0.0020055335],"category_scores_gemma":[0.00028549082,0.00019184587,0.0012873366,0.0040384275,0.0028788215,0.0006259198,0.000009616367,0.0036365737,0.000007905385],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.027459998,0.004323875,0.633552,0.00038359762,0.0016235947,0.00026356202,0.1640992,0.029906556,0.0128178885,0.011387364,0.042785242,0.071397096],"study_design_scores_gemma":[0.0018920047,0.002735666,0.91688114,0.00012975319,0.00010620447,3.6841888e-7,0.022889117,0.0000634164,0.0009554334,0.0047900034,0.04928537,0.00027152087],"about_ca_topic_score_codex":0.10018836,"about_ca_topic_score_gemma":0.17420334,"teacher_disagreement_score":0.28332913,"about_ca_system_score_codex":0.0007044949,"about_ca_system_score_gemma":0.0022503363,"threshold_uncertainty_score":0.9998348},"labels":[],"label_agreement":null},{"id":"W4225007609","doi":"10.1016/j.tranpol.2022.04.015","title":"The route not taken: Equity and transparency in unfunded transit proposals","year":2022,"lang":"en","type":"article","venue":"Transport Policy","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; University of Manitoba","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Equity (law); Transparency (behavior); Public transport; Bus rapid transit; Transportation planning; Documentation; Business; Transport engineering; Census; Public economics; Operations research; Computer science; Economics; Political science; Engineering; Population; Computer security; Sociology","score_opus":0.0459744838899066,"score_gpt":0.35786089949694405,"score_spread":0.31188641560703745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225007609","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9369854,0.00042163598,0.00011541242,0.025624149,0.00019009119,0.0009087235,0.00022231994,0.00014668737,0.035385627],"genre_scores_gemma":[0.99674857,0.00023253464,0.000032648513,0.000652314,0.00016776219,0.00012821078,0.00002928131,0.00002070864,0.0019879662],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99713725,0.0002444164,0.00057844183,0.00045345468,0.00080531614,0.000781126],"domain_scores_gemma":[0.9992591,0.00009744738,0.00008729973,0.00031359596,0.000032521802,0.000210024],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0019870042,0.0002059585,0.00030621042,0.0001267024,0.001830276,0.00007130915,0.00077302434,0.00008767858,0.00039290194],"category_scores_gemma":[0.000017533666,0.00017428634,0.0001423518,0.00094782806,0.00065252656,0.00031111386,0.00002761471,0.00046117595,0.000003475327],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006079424,0.00048814333,0.74225473,0.00010480098,0.000054159194,0.00010377085,0.08133423,0.00011289105,0.00046644575,0.12587605,0.00012566912,0.04847118],"study_design_scores_gemma":[0.0012733818,0.00009787324,0.87651336,0.000014019006,0.00005139051,0.0000015495218,0.0036370887,0.000019298144,0.00015802024,0.020817522,0.09698693,0.00042955813],"about_ca_topic_score_codex":0.038191896,"about_ca_topic_score_gemma":0.1309937,"teacher_disagreement_score":0.13425866,"about_ca_system_score_codex":0.00022617746,"about_ca_system_score_gemma":0.0009475118,"threshold_uncertainty_score":0.9994692},"labels":[],"label_agreement":null},{"id":"W4225151866","doi":"10.1016/j.jtrangeo.2022.103348","title":"Living on a fare: Modeling and quantifying the effects of fare budgets on transit access and equity","year":2022,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Leverage (statistics); Public transport; Equity (law); Destinations; Transit (satellite); Calculator; Business; Transport engineering; Computer science; Geography; Engineering; Political science; Tourism","score_opus":0.041792502047690944,"score_gpt":0.3295247479559783,"score_spread":0.2877322459082874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225151866","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99616146,0.0016582535,0.0005187538,0.000645757,0.0003326752,0.0002659296,0.000018982078,0.000015464877,0.00038272253],"genre_scores_gemma":[0.9990594,0.00060245517,0.00003756401,0.00019847364,0.00007750664,0.0000066077064,0.0000013707509,0.000012021352,0.00000461676],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99792224,0.00019533257,0.0005121692,0.00022848957,0.0008557562,0.0002860332],"domain_scores_gemma":[0.9989328,0.00037135303,0.00030953417,0.00014838122,0.00010264398,0.0001353041],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018729368,0.00016161671,0.0003710357,0.00027105174,0.0009951524,0.000067678826,0.0005171101,0.000061769526,0.00004004297],"category_scores_gemma":[0.00003246733,0.00011936483,0.000303803,0.00047866185,0.0002389051,0.00037633363,0.000028088265,0.0005569203,4.4736055e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032835527,0.0003261952,0.9710694,0.00033554266,0.00014534479,0.000060839793,0.015203513,0.0018241912,0.00032646893,0.0003625827,0.00000953054,0.010008057],"study_design_scores_gemma":[0.00075498846,0.00068704865,0.9929241,0.00046472842,0.00029773833,0.000004450518,0.0025496434,0.0002192803,0.00015836797,0.0012828452,0.00041006523,0.00024677874],"about_ca_topic_score_codex":0.0007348984,"about_ca_topic_score_gemma":0.00074587547,"teacher_disagreement_score":0.021854686,"about_ca_system_score_codex":0.000023537528,"about_ca_system_score_gemma":0.00008156724,"threshold_uncertainty_score":0.7654009},"labels":[],"label_agreement":null},{"id":"W4225272839","doi":"10.1111/area.12796","title":"Inter‐ and intra‐racial/ethnic disparities in walking accessibility to grocery stores","year":2022,"lang":"en","type":"article","venue":"Area","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Chinese University of Hong Kong","keywords":"Inequality; Ethnic group; Demographic economics; Population; Health equity; Census; Geography; Demography; Sociology; Economics; Health care; Economic growth; Mathematics","score_opus":0.04070028651192807,"score_gpt":0.32937655496798335,"score_spread":0.28867626845605526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225272839","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947521,0.0004930176,0.000043706572,0.0011939744,0.0002846786,0.0002342088,0.000016291042,0.00006250632,0.0029195312],"genre_scores_gemma":[0.9990519,0.000021145335,0.0000413437,0.0004320068,0.00007513133,0.000064238164,0.0000064803266,0.000006981771,0.0003007209],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986844,0.00017946883,0.00022511579,0.00033679907,0.00026800437,0.00030620987],"domain_scores_gemma":[0.9995186,0.00013287224,0.00004678065,0.00016674107,0.000025362393,0.00010968764],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010091633,0.00009187593,0.00016642583,0.000092923045,0.000497598,0.00007776044,0.00033306057,0.0000387649,0.0006164439],"category_scores_gemma":[0.00016681559,0.00009391175,0.000037490456,0.00044162586,0.00018601245,0.0003896425,0.00018184008,0.0002263952,0.0000022897343],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003866991,0.00006618497,0.9564473,0.000015694406,0.0000035721314,0.000007898147,0.02551538,0.000003795099,0.00003758471,0.0006559503,0.00019616653,0.017011775],"study_design_scores_gemma":[0.0001230934,0.000025175894,0.9844795,0.000012683068,0.0000052701644,1.3324025e-7,0.0060448656,0.0000130545295,0.000029289742,0.0068881377,0.0022494418,0.00012937856],"about_ca_topic_score_codex":0.01139274,"about_ca_topic_score_gemma":0.08525853,"teacher_disagreement_score":0.073865786,"about_ca_system_score_codex":0.00018004516,"about_ca_system_score_gemma":0.0000906898,"threshold_uncertainty_score":0.9951905},"labels":[],"label_agreement":null},{"id":"W4225273962","doi":"10.1016/j.healthplace.2022.102809","title":"Mapping food and physical activity environments in low- and middle-income countries: A systematised review","year":2022,"lang":"en","type":"review","venue":"Health & Place","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Deutscher Akademischer Austauschdienst; National Research Foundation; National Institute for Health and Care Research; International Development Research Centre","keywords":"Low and middle income countries; Geography; Urbanization; Global Positioning System; Resource (disambiguation); Physical activity; Data collection; Computer science; Developing country; Economic growth; Medicine; Sociology","score_opus":0.07671204758775282,"score_gpt":0.3682124341096803,"score_spread":0.29150038652192745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225273962","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0027085375,0.99334884,0.0000059985905,0.00036374977,0.00011204071,0.003160569,0.00011349875,0.000026734973,0.00016005232],"genre_scores_gemma":[0.0013468032,0.9978387,0.000014639068,0.00017907786,0.00008392124,0.00032546918,0.000020676514,0.000020260837,0.00017046704],"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","domain_scores_codex":[0.9965112,0.0013143785,0.00060313387,0.0005914929,0.0005141839,0.00046557348],"domain_scores_gemma":[0.99817216,0.00066748523,0.0006368771,0.00027722924,0.000005412734,0.00024082765],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0025113495,0.00029643122,0.0020379089,0.00008369978,0.0004940078,0.0000480061,0.00023172432,0.00012606311,0.00008985874],"category_scores_gemma":[0.00009420069,0.00026549314,0.00012579832,0.00038919548,0.00017776682,0.00019787911,0.000079513266,0.00051686744,0.000007959022],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005732972,0.000110988134,0.0007264139,0.9081974,0.000032906115,0.000010401607,0.0040749144,3.728089e-8,2.4403504e-9,0.00007974582,0.000042000247,0.08671944],"study_design_scores_gemma":[0.00015258977,0.00004072807,0.00060833263,0.16909865,0.00006165876,0.0000017211614,0.00020827986,0.0000025956945,4.7899578e-9,0.000013722465,0.8295894,0.00022227036],"about_ca_topic_score_codex":0.00085304835,"about_ca_topic_score_gemma":0.0009773369,"teacher_disagreement_score":0.82954746,"about_ca_system_score_codex":0.00077224534,"about_ca_system_score_gemma":0.0008130041,"threshold_uncertainty_score":0.99997973},"labels":[],"label_agreement":null},{"id":"W4225641565","doi":"10.1007/978-981-16-4230-2_88","title":"Environmental Impact of Free-Floating Bike Sharing: From Life Cycle Perspective","year":2022,"lang":"en","type":"book-chapter","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Beijing; Greenhouse gas; Government (linguistics); Business; Product (mathematics); Supply chain; Environmental economics; Waste management; Engineering; China; Geography; Marketing; Economics","score_opus":0.02538194575067905,"score_gpt":0.28663806589730106,"score_spread":0.26125612014662203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225641565","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1842491,0.00052971306,0.0000067510155,0.00008530521,0.00012975569,0.00023841672,0.00091862306,0.00006158093,0.8137808],"genre_scores_gemma":[0.8924802,0.000078523815,0.00009171574,0.000034453573,0.00032949875,0.0000029530004,0.000090114045,0.0000320064,0.10686052],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99821585,0.000023727265,0.00034926605,0.0005388066,0.0006302753,0.00024208901],"domain_scores_gemma":[0.9989797,0.00009291989,0.00028761104,0.0004410298,0.000021216088,0.00017756502],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002392705,0.0002352458,0.00038724966,0.000073344774,0.00036087752,0.000037611197,0.00072189566,0.00019960817,0.13965437],"category_scores_gemma":[0.000041738644,0.00022114425,0.00048046937,0.00003344008,0.0003748935,0.00022725762,0.00020585209,0.00038828218,0.00003166306],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017333795,0.00041610523,0.6325928,0.000026840815,0.0013233973,0.00004428911,0.061398275,0.00006678717,0.0004122012,0.29912606,0.0021512674,0.0022686226],"study_design_scores_gemma":[0.0015548924,0.00039634688,0.46654776,0.0001160672,0.00056406297,2.519287e-7,0.026405664,0.000098470264,0.00009314661,0.46281907,0.03928869,0.0021155605],"about_ca_topic_score_codex":0.10168928,"about_ca_topic_score_gemma":0.0053107706,"teacher_disagreement_score":0.7082311,"about_ca_system_score_codex":0.0007501613,"about_ca_system_score_gemma":0.00026374898,"threshold_uncertainty_score":0.90429264},"labels":[],"label_agreement":null},{"id":"W4225782372","doi":"10.31219/osf.io/2xgwa","title":"ALF-Score++, a novel approach to transfer knowledge and predict network-based walkability scores across cities","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Walkability; Transferability; Transfer of learning; Computer science; Built environment; Machine learning; Process (computing); Reuse; Artificial intelligence; Metric (unit); Engineering","score_opus":0.05523782856253339,"score_gpt":0.3183307307344982,"score_spread":0.2630929021719648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225782372","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9005514,0.0013928646,0.06582084,0.0003658604,0.0008301571,0.0016073385,0.0002786698,0.0003401989,0.028812684],"genre_scores_gemma":[0.9921368,0.00005488563,0.004814556,0.0002606096,0.00082520075,0.00030133544,0.00022589647,0.00003757582,0.0013431798],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9957969,0.00028306872,0.00069168606,0.0015879304,0.0006354079,0.0010049826],"domain_scores_gemma":[0.99795794,0.00025408337,0.00006761729,0.0008199636,0.00037878027,0.00052162557],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002252538,0.00052180653,0.0008554122,0.00006282189,0.0008082095,0.00071483117,0.0008540063,0.0007083966,0.0002934829],"category_scores_gemma":[0.000118898075,0.00047287223,0.00037833743,0.00051353575,0.0012076724,0.00025305452,0.0003406468,0.0007922418,0.0000031039554],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016409284,0.0011811614,0.9385678,0.0014893496,0.00013790121,0.0000035639728,0.050410744,0.0014741039,0.000033259283,0.0015160932,0.0008063155,0.004215618],"study_design_scores_gemma":[0.0010762282,0.000079458696,0.9787855,0.00063751475,0.0002204809,4.3379833e-7,0.006979167,0.0020094882,0.00031278268,0.0019019074,0.0063740653,0.0016229668],"about_ca_topic_score_codex":0.010747665,"about_ca_topic_score_gemma":0.06351506,"teacher_disagreement_score":0.09158538,"about_ca_system_score_codex":0.00018996581,"about_ca_system_score_gemma":0.0013518246,"threshold_uncertainty_score":0.9997723},"labels":[],"label_agreement":null},{"id":"W4226027856","doi":"10.1007/s12469-022-00296-2","title":"Understanding the temporal and spatial interactions between transit ridership and urban land-use patterns: an exploratory study","year":2022,"lang":"en","type":"article","venue":"Public Transport","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Transport engineering; Transit (satellite); Land use; Public transport; Transit-oriented development; Geography; Data collection; Computer science; Engineering; Civil engineering; Statistics; Mathematics","score_opus":0.21314838251208088,"score_gpt":0.3196973490609989,"score_spread":0.10654896654891802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226027856","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99238163,0.000051362895,0.0038595973,0.002385886,0.00020493721,0.0006060489,0.00016148644,0.00012849047,0.00022057706],"genre_scores_gemma":[0.9993655,0.000009751468,0.000005565111,0.00009956931,0.00021943412,0.00008186671,0.000104237675,0.000018675737,0.00009541887],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980186,0.00041973594,0.00030506632,0.00041814244,0.0004962443,0.00034220837],"domain_scores_gemma":[0.99927855,0.00014334756,0.00008175921,0.00023016689,0.000033187127,0.0002329992],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0014385264,0.0001579188,0.00021385275,0.000111413654,0.0019724604,0.00023929222,0.00028909248,0.000040859893,0.00036080967],"category_scores_gemma":[0.000010989405,0.00013418433,0.00005803348,0.00029152306,0.00027915143,0.0014218645,0.000018232908,0.0004093302,3.726149e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027270757,0.0001765488,0.9219132,0.0000082766555,0.00004088621,0.000009324822,0.077079386,0.0000014657448,0.0000011107079,0.00020563517,0.000024283296,0.00051260093],"study_design_scores_gemma":[0.0004962518,0.00012332718,0.89495975,0.000003860434,0.00008187936,4.2648247e-7,0.09919813,0.000010288701,7.282845e-7,0.00034974448,0.004605726,0.00016989955],"about_ca_topic_score_codex":0.011432397,"about_ca_topic_score_gemma":0.2408455,"teacher_disagreement_score":0.2294131,"about_ca_system_score_codex":0.00011127399,"about_ca_system_score_gemma":0.00015060187,"threshold_uncertainty_score":0.9993268},"labels":[],"label_agreement":null},{"id":"W4226232254","doi":"10.1079/tourism.2022.0020","title":"Understanding the Values and Attitudes of New Residents in a Community Intentionally Designed to Elicit Social Connections","year":2022,"lang":"en","type":"article","venue":"Tourism Cases","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Mount Royal University","funders":"","keywords":"Recreation; Appeal; Excellence; Active living; Happiness; Baseline (sea); Sociology; Community engagement; Psychology; Gerontology; Public relations; Physical activity; Political science; Social psychology; Medicine","score_opus":0.16419736734140597,"score_gpt":0.36845827624368704,"score_spread":0.20426090890228107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226232254","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959125,0.00008225358,0.00048894435,0.00215595,0.00007043085,0.00018963944,0.000016075324,0.000019564788,0.0010646428],"genre_scores_gemma":[0.99913996,0.000005428867,0.00004881159,0.00013893735,0.00006269203,0.000012930263,0.000003400135,0.0000034857992,0.00058436673],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989347,0.00044970273,0.00015715622,0.000086294145,0.00024759796,0.00012454887],"domain_scores_gemma":[0.99934685,0.00044861916,0.00005502043,0.00007964286,0.000026985432,0.000042864263],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0010096817,0.000049341917,0.00010221181,0.00006992141,0.0018905161,0.000037433012,0.0001933702,0.000021107748,0.00029107207],"category_scores_gemma":[0.00018090056,0.00004429731,0.000038572536,0.00031670794,0.00018782464,0.00010206766,0.000080135986,0.00017276587,3.9606692e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001451111,0.00030110593,0.880759,0.00002045237,0.000035045363,0.00002416808,0.10139758,0.00006786808,0.00024472305,0.0077987364,0.008864316,0.00034190755],"study_design_scores_gemma":[0.00021757098,0.000066686545,0.91377795,0.000013820414,0.000017586428,9.71468e-7,0.05366736,0.0000025285333,0.000024565388,0.032012723,0.00012926829,0.000068978006],"about_ca_topic_score_codex":0.064695105,"about_ca_topic_score_gemma":0.054828737,"teacher_disagreement_score":0.047730226,"about_ca_system_score_codex":0.00015294614,"about_ca_system_score_gemma":0.00012208495,"threshold_uncertainty_score":0.9994089},"labels":[],"label_agreement":null},{"id":"W4229332376","doi":"10.2196/preprints.38715","title":"Providing Accessible ReCreation Outdoors-User-driven Research on Standards: Novel method for winter assessments (Preprint)","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"SAFER; Recreation; National park; Citizen science; Data collection; Geography; Citizen journalism; Preprint; Environmental resource management; Political science; Computer science; Environmental science; Computer security; Sociology; World Wide Web","score_opus":0.2691281815894953,"score_gpt":0.561664594930637,"score_spread":0.2925364133411417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229332376","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.095188655,0.000060780003,0.6140059,0.0032069096,0.0024025387,0.009208059,0.0011189636,0.00055837486,0.27424982],"genre_scores_gemma":[0.7878273,0.000079622194,0.16708045,0.00024671073,0.00096006406,0.00356472,0.00049598614,0.00010710563,0.039638057],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9926795,0.001130299,0.0007660108,0.0016983427,0.0028573694,0.00086849526],"domain_scores_gemma":[0.9959557,0.0011668215,0.0003822401,0.0009902708,0.0012684,0.00023654356],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.016999137,0.0003547355,0.00058679393,0.00045635694,0.0018183872,0.0009129176,0.0018954863,0.00048203993,0.0057719112],"category_scores_gemma":[0.00093669404,0.0003354231,0.00038716305,0.0005779979,0.00021232286,0.00054397876,0.0010961376,0.0017747196,0.000009652699],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0045759175,0.0056085577,0.6110249,0.003925877,0.0014976981,0.000025743026,0.048010826,0.01003001,0.0036417777,0.14181055,0.056910444,0.112937674],"study_design_scores_gemma":[0.0036290018,0.0010244743,0.061158836,0.0015246277,0.00031965994,3.251091e-7,0.038131922,0.0066677663,0.0064058024,0.06262039,0.8160026,0.002514604],"about_ca_topic_score_codex":0.0092442185,"about_ca_topic_score_gemma":0.0065441616,"teacher_disagreement_score":0.75909215,"about_ca_system_score_codex":0.0026246295,"about_ca_system_score_gemma":0.0030864857,"threshold_uncertainty_score":0.99990976},"labels":[],"label_agreement":null},{"id":"W4229442429","doi":"10.1155/2022/5664004","title":"Analysis of the Relationship between Dockless Bicycle-Sharing and the Metro: Connection, Competition, and Complementation","year":2022,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China-Guangdong Joint Fund; National Natural Science Foundation of China","keywords":"TRIPS architecture; Transport engineering; Competition (biology); Public transport; Mode (computer interface); China; Computer science; Engineering; Geography","score_opus":0.03734546210218984,"score_gpt":0.3315195658522491,"score_spread":0.29417410375005926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229442429","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99649566,0.00016725101,0.0017835655,0.0011847551,0.00011482869,0.00017078986,0.000038812042,0.0000048499546,0.000039475268],"genre_scores_gemma":[0.99970585,0.000021346199,0.00014713507,0.000030747517,0.00003748668,0.0000054319307,0.000035574772,0.0000032865821,0.000013114208],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987259,0.00019680995,0.000509796,0.000096391,0.0003971064,0.000074009535],"domain_scores_gemma":[0.9986126,0.0004666022,0.0006542361,0.0000759379,0.00015843219,0.000032214473],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012405796,0.00005359002,0.0002048402,0.00015104575,0.00086719217,0.000022480763,0.0001378726,0.000017213204,0.000052410887],"category_scores_gemma":[0.000069166126,0.00003737982,0.00011276567,0.00094362296,0.00024077878,0.00034475458,0.00000445623,0.00016622858,2.2121386e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000783387,0.000014478299,0.9705859,0.000009970028,0.00011444475,2.3072762e-7,0.009994364,0.006011023,0.000024684778,0.012927443,0.0000011030297,0.00023801273],"study_design_scores_gemma":[0.0009031916,0.000020971267,0.97405607,0.000009695076,0.00079013186,1.3738436e-7,0.014221435,0.000038620423,0.000017996852,0.009790249,0.00011116822,0.000040319155],"about_ca_topic_score_codex":0.00037014775,"about_ca_topic_score_gemma":0.0041949213,"teacher_disagreement_score":0.005972403,"about_ca_system_score_codex":0.00004675118,"about_ca_system_score_gemma":0.00003899071,"threshold_uncertainty_score":0.6669829},"labels":[],"label_agreement":null},{"id":"W4229560180","doi":"10.1249/00005768-200405001-00368","title":"Exploring Relationships Between Fitness Predictors and Activity Opportunities Using Novel Geographic Information Systems Measurements","year":2004,"lang":"en","type":"article","venue":"Medicine & Science in Sports & Exercise","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University","funders":"","keywords":"Multicollinearity; Range (aeronautics); Statistics; Geographic information system; Descriptive statistics; Linear model; Multivariate statistics; Econometrics; Physical activity; Linear regression; Computer science; Mathematics; Geography; Cartography; Medicine; Engineering","score_opus":0.2801211822659191,"score_gpt":0.32605612084930236,"score_spread":0.04593493858338327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229560180","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966988,0.00005342187,0.00069120334,0.00023980316,0.0007422592,0.0005683444,0.0000052750643,0.000078621306,0.0009222934],"genre_scores_gemma":[0.9993762,0.00028619033,0.00013181947,0.000009819049,0.00013436173,0.000035677793,0.0000072202197,0.000006030486,0.000012732902],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99692506,0.000045790097,0.00053199293,0.00032395252,0.001702753,0.00047042876],"domain_scores_gemma":[0.99887586,0.00005151165,0.00026365582,0.00023915981,0.00024693995,0.00032288002],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0062835994,0.00016751613,0.00032581357,0.0007178693,0.0011864185,0.00012146524,0.00033127097,0.00007808566,0.000012647819],"category_scores_gemma":[0.00023768579,0.00014779027,0.000027908818,0.0015881129,0.002058447,0.008796426,0.00003185343,0.00026634333,5.5926625e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000056743243,0.000027516006,0.97953874,0.000037992268,4.1409615e-7,0.000002276253,0.016734809,0.0002718147,0.000023712248,0.00007273854,5.003721e-7,0.0032838292],"study_design_scores_gemma":[0.00039354895,0.000014962642,0.9841009,0.0006515694,0.000038903083,5.5778617e-7,0.014192631,0.00005545642,0.000008408838,0.0001992522,0.00018844209,0.00015537995],"about_ca_topic_score_codex":0.014150083,"about_ca_topic_score_gemma":0.00061042054,"teacher_disagreement_score":0.013539663,"about_ca_system_score_codex":0.00028448753,"about_ca_system_score_gemma":0.0005338965,"threshold_uncertainty_score":0.9924148},"labels":[],"label_agreement":null},{"id":"W4229620775","doi":"10.32920/14640870.v1","title":"A Geographic Visualization Approach to Multi-Criteria Evaluation of Urban Quality of Life","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Analytic hierarchy process; Usability; Visualization; Computer science; Quality (philosophy); Process (computing); Interactive visualization; Human–computer interaction; Data science; Data mining; Operations research; Engineering","score_opus":0.18447753244005474,"score_gpt":0.4451799840628818,"score_spread":0.260702451622827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229620775","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9588341,0.0004085565,0.03119271,0.00005373004,0.00033502025,0.0011824992,0.000044509703,0.00005067569,0.0078981845],"genre_scores_gemma":[0.9948276,0.000021943244,0.0044562356,0.00004481485,0.00009946466,0.00007998109,0.0003460854,0.000011009165,0.00011281809],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9954555,0.0013639907,0.00097200245,0.0005695872,0.0014436916,0.00019525099],"domain_scores_gemma":[0.9969761,0.00006013381,0.00052493066,0.0005130666,0.0017747686,0.00015102328],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0070885518,0.00017071742,0.00056984986,0.00018513092,0.00009991388,0.0000705328,0.00042095952,0.0003401589,0.0005454651],"category_scores_gemma":[0.001011708,0.00017103244,0.0002651125,0.0006312461,0.00021678512,0.00015949811,0.00013961594,0.00014772436,7.3277704e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039372873,0.001311529,0.9597179,0.00087072665,0.00010578345,5.014071e-8,0.033040874,0.00027819513,0.0005303182,0.0033129011,0.00008962125,0.0007027216],"study_design_scores_gemma":[0.00046567534,0.0000128892925,0.9867417,0.00009634238,0.00015525476,4.7229367e-9,0.006842193,0.0042735613,0.00037811586,0.0007301959,0.00003860824,0.0002654246],"about_ca_topic_score_codex":0.030147683,"about_ca_topic_score_gemma":0.009005658,"teacher_disagreement_score":0.035993535,"about_ca_system_score_codex":0.00007259076,"about_ca_system_score_gemma":0.0011094114,"threshold_uncertainty_score":0.9763107},"labels":[],"label_agreement":null},{"id":"W4229714881","doi":"10.31219/osf.io/6vp8j","title":"A global assessment of street network sprawl","year":2020,"lang":"en","type":"preprint","venue":"OSF Preprints (OSF Preprints)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Urban sprawl; Geography; Street network; Walkability; Economic geography; Regional science; Urban planning; Cartography; Transport engineering; Built environment; Engineering","score_opus":0.02919105899323782,"score_gpt":0.3341617691845222,"score_spread":0.30497071019128436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229714881","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20910266,0.00001061439,0.0057814894,0.001242753,0.0015532122,0.0021363392,0.00027650496,0.0003663717,0.77953005],"genre_scores_gemma":[0.9770933,0.00021356289,0.0063518463,0.00018703537,0.00080370705,0.00023384798,0.00014271977,0.0000507983,0.014923222],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9900491,0.0017744355,0.0016013378,0.003912715,0.001630083,0.001032293],"domain_scores_gemma":[0.99240226,0.0004753686,0.0012829707,0.0046845647,0.00045567635,0.00069914217],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.008368526,0.0006889431,0.0013873274,0.00009205937,0.000490108,0.0002863968,0.0039602653,0.0010285756,0.2675825],"category_scores_gemma":[0.0017845515,0.0008073159,0.0008781789,0.0007578497,0.00094537303,0.00032657664,0.0042628464,0.0014198375,0.0511793],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000951939,0.0005318578,0.95058244,0.0004737124,0.0004592745,0.000040454674,0.0019905323,0.0053841425,0.000042576467,0.013909742,0.021370893,0.0051191654],"study_design_scores_gemma":[0.0007255783,0.0000027219198,0.824745,0.00049964286,0.0005006538,8.175637e-7,0.0007809956,0.0007585802,0.00016276985,0.10069726,0.06996083,0.0011651409],"about_ca_topic_score_codex":0.011846122,"about_ca_topic_score_gemma":0.01176321,"teacher_disagreement_score":0.7679906,"about_ca_system_score_codex":0.0009714989,"about_ca_system_score_gemma":0.002959135,"threshold_uncertainty_score":0.99943775},"labels":[],"label_agreement":null},{"id":"W4229825254","doi":"10.32920/ryerson.14638389","title":"Getting growth on track: aligning transit investment and growth planning in the Greater Golden Horseshoe","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Prosperity; Horseshoe (symbol); Sustainability; Plan (archaeology); Investment (military); Subject matter; Business; Strategic planning; Land-use planning; Environmental planning; Geography; Land use; Economics; Political science; Economic growth; Engineering; Computer science; Marketing; Ecology; Civil engineering; Archaeology","score_opus":0.04379547214582442,"score_gpt":0.3027620618365545,"score_spread":0.2589665896907301,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229825254","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93273544,0.0003601542,0.00014063458,0.002888287,0.00019296206,0.00055797974,0.0000073216042,0.00008168656,0.06303552],"genre_scores_gemma":[0.99687475,0.000056462148,0.00042622996,0.0020274862,0.00026826307,0.000057313533,0.000039465376,0.000019155652,0.00023089563],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99721795,0.00045655665,0.00046329008,0.000779901,0.0006004571,0.00048183158],"domain_scores_gemma":[0.99919975,0.00019890002,0.0001308512,0.00028336636,0.000071096685,0.000116063915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017980703,0.0003152832,0.0004136791,0.00012326025,0.0004008189,0.0005542722,0.0005418718,0.0003357326,0.00012583201],"category_scores_gemma":[0.00007402565,0.00022775815,0.00014693936,0.00025079705,0.00024068428,0.00025150325,0.000083245955,0.0008100855,0.0000020394286],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022967892,0.000114811846,0.82363844,0.00023870211,0.000053865406,0.0002139901,0.17059772,0.000039291597,0.000059921196,0.0042574,0.00023499901,0.0005279158],"study_design_scores_gemma":[0.000480935,0.000042904932,0.95365846,0.00071702927,0.00011553875,0.000001449103,0.034253024,0.00006171968,0.0006692088,0.009201977,0.0001407062,0.0006570514],"about_ca_topic_score_codex":0.009122906,"about_ca_topic_score_gemma":0.0037605264,"teacher_disagreement_score":0.1363447,"about_ca_system_score_codex":0.000104098326,"about_ca_system_score_gemma":0.00019602219,"threshold_uncertainty_score":0.99747545},"labels":[],"label_agreement":null},{"id":"W4229836612","doi":"10.1123/japa.22.3.414","title":"Agreement between Virtual and In-the-Field Environment Audits of Assisted Living Sites","year":2014,"lang":"en","type":"article","venue":"Journal of Aging and Physical Activity","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Audit; Assisted living; Field (mathematics); Business; Psychology; Medicine; Nursing; Accounting; Mathematics","score_opus":0.023487296289588733,"score_gpt":0.2980280533912455,"score_spread":0.27454075710165676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229836612","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99810773,0.000027038053,0.00035010854,0.0011043152,0.000019352046,0.000032261793,9.2853935e-7,0.0000014874411,0.00035677713],"genre_scores_gemma":[0.9996426,0.000017796476,0.000029224808,0.00002908402,0.00026456095,2.7824652e-7,9.253535e-8,0.0000014484226,0.0000148916615],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992678,0.00018989225,0.00011757077,0.00007682538,0.00025216668,0.00009574842],"domain_scores_gemma":[0.9985519,0.0011670651,0.00016525346,0.000050845516,0.000013546615,0.000051407376],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091018534,0.00005274483,0.00018103757,0.000024852281,0.000105610525,0.000025896863,0.00008638571,0.000024698815,0.0000065308927],"category_scores_gemma":[0.000098547505,0.000035939014,0.000046262932,0.000055522305,0.00011350673,0.0001879446,0.00001749646,0.00017305082,2.0367662e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014382837,0.00031581544,0.9094247,0.00001878462,0.000019017874,0.000001164777,0.0068065757,0.000004288455,0.0021086782,0.000092130686,0.00002351935,0.081170924],"study_design_scores_gemma":[0.00010854245,0.00013285816,0.99753875,0.000050204082,0.000028764327,1.7795878e-7,0.0003103568,0.00003591279,0.0009371573,0.0005797263,0.0002341635,0.000043400505],"about_ca_topic_score_codex":0.00018341394,"about_ca_topic_score_gemma":0.000073403055,"teacher_disagreement_score":0.08811402,"about_ca_system_score_codex":0.000013977615,"about_ca_system_score_gemma":0.000014057415,"threshold_uncertainty_score":0.14655505},"labels":[],"label_agreement":null},{"id":"W4230086703","doi":"10.32920/ryerson.14646996","title":"Making density work: tall buildings in downtown Toronto","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Winnipeg; Toronto Metropolitan University","funders":"","keywords":"Downtown; Realm; Pace; Context (archaeology); Work (physics); Urban planning; Diversity (politics); Environmental planning; Geography; Sociology; Civil engineering; Engineering","score_opus":0.05432834557146378,"score_gpt":0.34829049896669767,"score_spread":0.2939621533952339,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4230086703","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83994764,0.0008840382,0.00061881565,0.0004802616,0.0007966733,0.0002966562,0.0000023079992,0.000133377,0.15684023],"genre_scores_gemma":[0.9936374,0.00010678276,0.002851565,0.00022163773,0.00029664047,0.0000178627,0.00002069703,0.0000121605035,0.0028352994],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99778646,0.00013871983,0.00039399395,0.0007303178,0.00046655952,0.00048397083],"domain_scores_gemma":[0.9991505,0.000059336373,0.00013490026,0.00042594725,0.000121031415,0.000108241205],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010785747,0.00021785186,0.0004050635,0.000036069865,0.00020304689,0.00037716242,0.0006270127,0.0005008649,0.006782557],"category_scores_gemma":[0.000092605456,0.00021920705,0.00020396811,0.00020692883,0.00016545273,0.00035815316,0.00041704692,0.00052039564,0.0000070060023],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015968615,0.000108157794,0.97509855,0.00006291325,0.000020161084,0.000054810986,0.015108034,0.000019602163,0.000016776154,0.0012411634,0.00029507594,0.007958784],"study_design_scores_gemma":[0.00014765719,0.0000034774241,0.98539084,0.00036729086,0.000030220155,1.01546824e-7,0.0058815903,0.000010266851,0.00007249716,0.0023049284,0.005273161,0.00051795813],"about_ca_topic_score_codex":0.2219757,"about_ca_topic_score_gemma":0.7673405,"teacher_disagreement_score":0.54536474,"about_ca_system_score_codex":0.0007337037,"about_ca_system_score_gemma":0.0004696037,"threshold_uncertainty_score":0.99412537},"labels":[],"label_agreement":null},{"id":"W4230240000","doi":"10.32920/ryerson.14654904.v1","title":"Evaluating the Viability of Intensification Around Three Suburban GO Stations","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University; University of Victoria","funders":"","keywords":"Zoning; Incentive; Business; Plan (archaeology); Transit-oriented development; Affordable housing; Subsidy; Environmental planning; Transport engineering; Finance; Geography; Economic growth; Economics; Public transport; Engineering; Civil engineering","score_opus":0.17146012769929936,"score_gpt":0.4235338801473587,"score_spread":0.25207375244805935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4230240000","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9768305,0.00019606652,0.008573472,0.0022351602,0.00051630347,0.0008176879,0.000025559773,0.00006454918,0.010740721],"genre_scores_gemma":[0.99684,0.000016089061,0.0021862818,0.000056899047,0.00014816572,0.0000599566,0.00011766758,0.000007932677,0.00056697975],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997658,0.00042294117,0.00057720154,0.00047698032,0.00066128606,0.00020355267],"domain_scores_gemma":[0.9971545,0.000481116,0.000352469,0.0008402413,0.0011149886,0.000056736688],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035132824,0.0001383849,0.00026899384,0.000033594082,0.00043253598,0.0001744674,0.0005881899,0.00019301398,0.00075009756],"category_scores_gemma":[0.0010708557,0.00010193372,0.00019921223,0.00030131647,0.000674014,0.00017392125,0.0001395707,0.00042756667,0.0000045817847],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019809582,0.00023909983,0.95099825,0.00018995043,0.00008334689,4.8227264e-7,0.026870888,0.00041825295,0.00050475495,0.0098018255,0.00011733558,0.010756016],"study_design_scores_gemma":[0.000102094826,0.000023032775,0.9104061,0.000068418325,0.00014796622,3.8822147e-8,0.020667708,0.0032930868,0.00028863896,0.06459012,0.00019040878,0.00022236624],"about_ca_topic_score_codex":0.024205148,"about_ca_topic_score_gemma":0.090797625,"teacher_disagreement_score":0.06659248,"about_ca_system_score_codex":0.0001508632,"about_ca_system_score_gemma":0.001103219,"threshold_uncertainty_score":0.9822928},"labels":[],"label_agreement":null},{"id":"W4230259640","doi":"10.32920/ryerson.14651685","title":"Regional Planning for Active and Sustainable School Travel: Challenges and Opportunities","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University; University of Waterloo","funders":"Mitacs","keywords":"Corporate governance; Thematic analysis; Business; Environmental planning; Multidisciplinary approach; Public relations; Sustainable development; Thematic map; Qualitative research; Political science; Geography; Sociology; Finance","score_opus":0.1692947793933223,"score_gpt":0.35129275318917175,"score_spread":0.18199797379584945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4230259640","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.806957,0.038027156,0.0009043675,0.013902421,0.00022709365,0.0013494437,0.000036881484,0.00013389484,0.13846174],"genre_scores_gemma":[0.9736123,0.010544758,0.00051790016,0.00017444171,0.0002779038,0.00010096542,0.00005759513,0.000013505033,0.01470065],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.99875844,0.0000732275,0.00016418389,0.0004616881,0.00019425385,0.00034819441],"domain_scores_gemma":[0.9991806,0.0001698209,0.00008996828,0.00012999958,0.00023278699,0.00019678024],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005619278,0.00015961734,0.00028680835,0.00006518835,0.0004557171,0.00022539962,0.00013644717,0.00027071522,0.000110916066],"category_scores_gemma":[0.00008279276,0.00015380446,0.000063808046,0.000022726794,0.00034767264,0.00033095718,0.00013507933,0.00024872166,8.50086e-8],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004707398,0.00030272335,0.023696862,0.0059568803,0.00059491524,0.00026579405,0.3441771,0.000008734788,0.000018611961,0.529465,0.0034638664,0.09157875],"study_design_scores_gemma":[0.00037256812,0.000034896628,0.11142862,0.0002166382,0.00008079153,7.647074e-7,0.8019953,0.000021455873,0.000043296877,0.060764365,0.024606422,0.00043493175],"about_ca_topic_score_codex":0.001568006,"about_ca_topic_score_gemma":0.0014692874,"teacher_disagreement_score":0.46870065,"about_ca_system_score_codex":0.00005985023,"about_ca_system_score_gemma":0.0007600427,"threshold_uncertainty_score":0.6271964},"labels":[],"label_agreement":null},{"id":"W4230317049","doi":"10.32920/ryerson.14645910.v1","title":"A Resurrection Of Laneways: Toronto's Activation Of Public Space Through Lanes","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Downtown; Neglect; Space (punctuation); Public space; Sociology; Political science; Aesthetics; Public relations; History; Architectural engineering; Engineering; Art; Archaeology; Psychology; Computer science","score_opus":0.08155807483901592,"score_gpt":0.34520080218268967,"score_spread":0.2636427273436738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4230317049","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7491346,0.00038068075,0.0019864503,0.000666258,0.00055348146,0.00023860935,0.000011731097,0.00006514905,0.24696304],"genre_scores_gemma":[0.99693805,0.00027635336,0.0009613122,0.00001257223,0.00018011653,0.000008995177,0.000098419114,0.0000064796254,0.001517719],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99857503,0.00021293084,0.00033619325,0.00029288832,0.0004269469,0.00015602136],"domain_scores_gemma":[0.998848,0.000094593575,0.00035141254,0.00030885116,0.00035796553,0.000039159953],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006761554,0.00011122758,0.00031221326,0.00002600128,0.00008198551,0.000053585532,0.00024518807,0.00029520772,0.0017813644],"category_scores_gemma":[0.00020675079,0.00010309483,0.00013852929,0.00016192457,0.00015456488,0.00051219465,0.00006859,0.00016058372,6.423791e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000765543,0.00087895105,0.84471864,0.0013574185,0.0002651013,0.0000021096223,0.08109243,0.00005626616,0.0030330087,0.055893358,0.0016636405,0.010962542],"study_design_scores_gemma":[0.0007430494,0.000104260725,0.78530926,0.00089141156,0.00018339377,2.0388616e-7,0.105545856,0.000059436803,0.053764675,0.02832377,0.024114469,0.0009602281],"about_ca_topic_score_codex":0.32421318,"about_ca_topic_score_gemma":0.1464708,"teacher_disagreement_score":0.24780343,"about_ca_system_score_codex":0.00014607959,"about_ca_system_score_gemma":0.00050852937,"threshold_uncertainty_score":0.99913114},"labels":[],"label_agreement":null},{"id":"W4230381081","doi":"10.24124/2013/bpgub909","title":"Disablement in Prince George, BC: A qualitative, holistic and participatory exploration.","year":2013,"lang":"en","type":"dissertation","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Canadian Heritage; University of Northern British Columbia; Library and Archives Canada","funders":"","keywords":"George (robot); Downtown; Autonomy; Ableism; Sociology; Qualitative research; Citizen journalism; Built environment; Gender studies; Geography; Political science; Social science; History; Engineering; Archaeology; Civil engineering","score_opus":0.14993632609616636,"score_gpt":0.4421095440858354,"score_spread":0.29217321798966905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4230381081","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9577994,0.0002501937,0.000058732505,0.00021233516,0.000246807,0.0005784806,0.000008781859,0.00004367755,0.040801603],"genre_scores_gemma":[0.92411274,0.00013116233,0.00014181965,0.000038671693,0.000062667044,0.00028843334,0.00023492517,0.00001095277,0.07497864],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99843526,0.000231997,0.00038850258,0.00033852019,0.00032764868,0.00027809752],"domain_scores_gemma":[0.9993887,0.00013417183,0.00013276697,0.00013363859,0.000097161115,0.00011357797],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007815952,0.00014878763,0.00023096458,0.00007160285,0.00019549088,0.00010883293,0.00013905017,0.0001470556,0.0013250521],"category_scores_gemma":[0.00013950375,0.0001350571,0.000034124278,0.00018647687,0.00014678984,0.0006087092,0.000007685048,0.0001503028,0.000047554942],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053131458,0.00033788316,0.20258768,0.00041778636,0.000030747502,0.000004473174,0.73617864,0.0000028266418,0.00003718442,0.055704985,0.0015670732,0.0030776085],"study_design_scores_gemma":[0.00043029588,0.000031997064,0.47610125,0.00018480579,0.00005493915,8.176787e-9,0.47639838,0.00002378269,0.00010239627,0.034539573,0.011561724,0.00057084294],"about_ca_topic_score_codex":0.016262844,"about_ca_topic_score_gemma":0.24534623,"teacher_disagreement_score":0.2735136,"about_ca_system_score_codex":0.00009327379,"about_ca_system_score_gemma":0.00021383195,"threshold_uncertainty_score":0.9995879},"labels":[],"label_agreement":null},{"id":"W4230531689","doi":"10.32920/ryerson.14654904","title":"Evaluating the Viability of Intensification Around Three Suburban GO Stations","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University; University of Victoria","funders":"","keywords":"Zoning; Incentive; Business; Plan (archaeology); Affordable housing; Transit-oriented development; Subsidy; Environmental planning; Finance; Transport engineering; Geography; Economic growth; Economics; Public transport; Engineering; Civil engineering","score_opus":0.17146012769929936,"score_gpt":0.4235338801473587,"score_spread":0.25207375244805935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4230531689","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9768305,0.00019606652,0.008573472,0.0022351602,0.00051630347,0.0008176879,0.000025559773,0.00006454918,0.010740721],"genre_scores_gemma":[0.99684,0.000016089061,0.0021862818,0.000056899047,0.00014816572,0.0000599566,0.00011766758,0.000007932677,0.00056697975],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997658,0.00042294117,0.00057720154,0.00047698032,0.00066128606,0.00020355267],"domain_scores_gemma":[0.9971545,0.000481116,0.000352469,0.0008402413,0.0011149886,0.000056736688],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035132824,0.0001383849,0.00026899384,0.000033594082,0.00043253598,0.0001744674,0.0005881899,0.00019301398,0.00075009756],"category_scores_gemma":[0.0010708557,0.00010193372,0.00019921223,0.00030131647,0.000674014,0.00017392125,0.0001395707,0.00042756667,0.0000045817847],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019809582,0.00023909983,0.95099825,0.00018995043,0.00008334689,4.8227264e-7,0.026870888,0.00041825295,0.00050475495,0.0098018255,0.00011733558,0.010756016],"study_design_scores_gemma":[0.000102094826,0.000023032775,0.9104061,0.000068418325,0.00014796622,3.8822147e-8,0.020667708,0.0032930868,0.00028863896,0.06459012,0.00019040878,0.00022236624],"about_ca_topic_score_codex":0.024205148,"about_ca_topic_score_gemma":0.090797625,"teacher_disagreement_score":0.06659248,"about_ca_system_score_codex":0.0001508632,"about_ca_system_score_gemma":0.001103219,"threshold_uncertainty_score":0.9822928},"labels":[],"label_agreement":null},{"id":"W4230699894","doi":"10.32920/ryerson.14654823.v1","title":"Household Size as a Determinant of Annual Shelter and Transportation Expenditures in Canada","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Respondent; Population; Economics; Demographic economics; Agricultural economics; Geography; Business; Economic growth; Demography; Political science; Sociology","score_opus":0.01611763640341626,"score_gpt":0.27171891771915363,"score_spread":0.2556012813157374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4230699894","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973236,0.00035495288,0.000010525753,0.00016634328,0.00027813212,0.00024408825,0.00018224788,0.000013685509,0.0014264301],"genre_scores_gemma":[0.99926215,0.00010824456,0.00015144785,0.00009272581,0.000047290097,0.000017361537,0.00003832967,0.000008041184,0.00027439016],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986065,0.00006823834,0.0003868235,0.00036674205,0.00036526457,0.00020642894],"domain_scores_gemma":[0.999465,0.000100999576,0.00012693883,0.00017245194,0.00004496006,0.00008963642],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021293516,0.00014115262,0.00033099318,0.000034901226,0.000053569802,0.00003477821,0.00019890258,0.0001668973,0.00041751371],"category_scores_gemma":[0.000026988142,0.00013108434,0.00006164741,0.00006665453,0.00011586713,0.00014764257,0.000019372917,0.0002337022,7.735338e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020309184,0.000042847747,0.9818741,0.00015459853,0.00001233831,0.00011596353,0.016283885,0.000029566756,0.00003946589,0.00006455536,0.00011533787,0.0012470451],"study_design_scores_gemma":[0.00014594846,0.000006118929,0.9835319,0.000094843956,0.000020121588,1.01883536e-7,0.01461499,0.000003170933,0.0007715381,0.00035305432,0.00028943518,0.00016875862],"about_ca_topic_score_codex":0.9962391,"about_ca_topic_score_gemma":0.99977237,"teacher_disagreement_score":0.0035332297,"about_ca_system_score_codex":0.00014700573,"about_ca_system_score_gemma":0.0029227862,"threshold_uncertainty_score":0.53454643},"labels":[],"label_agreement":null},{"id":"W4231267158","doi":"10.32920/ryerson.14663118","title":"Get Up and Go: Evaluating Station Area Factors affecting A.M. Commuter Rail Boardings in the Greater Toronto and Hamilton Area","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University; University of Calgary","funders":"","keywords":"Transport engineering; Service (business); Transit-oriented development; Business; Geography; Environmental science; Public transport; Engineering","score_opus":0.08683185959238593,"score_gpt":0.3566764678105889,"score_spread":0.269844608218203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4231267158","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99095243,0.00046466995,0.00022895004,0.00024076756,0.00029555362,0.00062678027,0.000014119574,0.000050411527,0.0071263034],"genre_scores_gemma":[0.9987911,0.00012329372,0.00032130827,0.00013537248,0.00007314398,0.000025284424,0.0000938001,0.0000118576,0.0004248206],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978012,0.0005399608,0.00034014048,0.00054573856,0.00046680338,0.00030616552],"domain_scores_gemma":[0.9989438,0.00043356657,0.00017072185,0.0002795274,0.00010156707,0.00007080314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025589317,0.0002430262,0.00034342348,0.000034839664,0.00046326083,0.0007332799,0.00025101594,0.00024422744,0.0002998915],"category_scores_gemma":[0.00014470954,0.0001690289,0.00008093012,0.00008192051,0.00018627246,0.0005213044,0.00014518877,0.00040658217,3.0348582e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009023486,0.000016372696,0.77026033,0.00007427417,0.000018512921,0.0000025348913,0.2272961,0.0000051494985,0.000037653277,0.000015077761,0.000069264344,0.002195726],"study_design_scores_gemma":[0.00027570507,0.000021249225,0.8959925,0.00017282549,0.000057415098,2.777958e-7,0.10225299,0.00030516845,0.00008404087,0.00044814806,0.00012500728,0.0002646381],"about_ca_topic_score_codex":0.07475852,"about_ca_topic_score_gemma":0.2490081,"teacher_disagreement_score":0.17424957,"about_ca_system_score_codex":0.00019014104,"about_ca_system_score_gemma":0.000098630786,"threshold_uncertainty_score":0.93140274},"labels":[],"label_agreement":null},{"id":"W4231601299","doi":"10.1177/0361198105192400111","title":"Gender-Based Analysis of Work Trip Mode Choice of Commuters in Suburban Montreal, Canada, with Stated Preference Data","year":2005,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Preference; Travel behavior; Mode choice; Revealed preference; Work (physics); Affect (linguistics); Public transport; Survey data collection; Demand management; Demographic economics; Economics; Psychology; Transport engineering; Engineering; Econometrics","score_opus":0.22736697367768996,"score_gpt":0.42546688938404414,"score_spread":0.19809991570635418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4231601299","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949817,0.00018747097,0.0008225201,0.0023518193,0.00006955287,0.000796022,0.000578798,0.000010231719,0.0002018975],"genre_scores_gemma":[0.99813414,0.00023837016,0.00118219,0.000024072784,0.000053822543,0.000019855408,0.00017919434,0.000023376395,0.00014499902],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99027187,0.0017205508,0.0018154845,0.00046271557,0.004916696,0.0008126839],"domain_scores_gemma":[0.9930168,0.0017560199,0.000816406,0.0009472154,0.0030953796,0.0003682133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0055638473,0.00021558684,0.0007698086,0.0014476003,0.00037175106,0.000056038723,0.002504897,0.00015373029,0.00030963516],"category_scores_gemma":[0.00020899557,0.00016364154,0.00023477772,0.007978817,0.0011280858,0.00086951634,0.000007144195,0.0014101425,4.2321528e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021170173,0.00042670977,0.96587986,0.00013711565,0.00041966533,0.000022763836,0.0053716395,0.021819508,0.00013936844,0.000091556954,0.0010303084,0.0025445048],"study_design_scores_gemma":[0.0015208002,0.00016187565,0.99136025,0.00023184821,0.00028995136,7.1432056e-9,0.0026279113,0.0012920783,0.00037991456,0.00010881458,0.0018734692,0.00015309884],"about_ca_topic_score_codex":0.9455093,"about_ca_topic_score_gemma":0.99890465,"teacher_disagreement_score":0.053395342,"about_ca_system_score_codex":0.00043539228,"about_ca_system_score_gemma":0.004943536,"threshold_uncertainty_score":0.8769621},"labels":[],"label_agreement":null},{"id":"W4231663900","doi":"10.1002/9781118430873.est0548","title":"Urban Quality of Life/Livability","year":2017,"lang":"en","type":"other","venue":"The Wiley-Blackwell Encyclopedia of Social Theory","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Promotion (chess); Corporate governance; Economic growth; Sustainable development; Opposition (politics); Government (linguistics); Environmental planning; Business; Political science; Geography; Politics; Economics","score_opus":0.02495179504250991,"score_gpt":0.3211745727189305,"score_spread":0.2962227776764206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4231663900","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008069625,0.0061409166,0.00004252881,0.00020797017,0.0010971405,0.00092661835,0.0005148515,0.00017026326,0.9828301],"genre_scores_gemma":[0.31494963,0.0062529217,0.000049797785,0.00008985055,0.0034964518,0.000039893253,0.0000662379,0.00028513046,0.67477006],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99483806,0.0020185015,0.00092864915,0.0005809322,0.0010545428,0.0005793056],"domain_scores_gemma":[0.9952004,0.00078075426,0.0023249225,0.0013459655,0.00019277392,0.00015520648],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0063462863,0.00044578375,0.0012884684,0.000112972564,0.0007509288,0.000037223832,0.0024866906,0.00082817,0.006674796],"category_scores_gemma":[0.0013989874,0.00035192363,0.00069533696,0.00024046226,0.0069670747,0.00015599282,0.00017047922,0.0005505191,0.00006714576],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004771294,0.00061553816,0.03824999,0.0011146773,0.00044618308,0.0000018981748,0.03218308,2.0208414e-7,0.000016599695,0.14247066,0.7726584,0.011765616],"study_design_scores_gemma":[0.0004231768,0.000025209756,0.018607585,0.00021986663,0.00015308138,1.7384968e-8,0.0017938822,1.1692515e-7,0.000012765501,0.0427753,0.9355201,0.0004688634],"about_ca_topic_score_codex":0.011724679,"about_ca_topic_score_gemma":0.004602016,"teacher_disagreement_score":0.30806,"about_ca_system_score_codex":0.00008400953,"about_ca_system_score_gemma":0.0009902024,"threshold_uncertainty_score":0.99989325},"labels":[],"label_agreement":null},{"id":"W4231697378","doi":"10.4095/301003","title":"Mode of Transportation to Work, 2001: Public Transportation (by census division)","year":2010,"lang":"en","type":"report","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Census; Division (mathematics); Public transport; Mode (computer interface); Transport engineering; Work (physics); Telecommunications; Mode choice; Geography; Engineering; Computer science; Sociology; Demography; Mathematics","score_opus":0.056406669863722274,"score_gpt":0.35302989943134905,"score_spread":0.29662322956762677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4231697378","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8223346,0.0004539647,0.004789375,0.0030666427,0.0029761966,0.00224459,0.005074966,0.00046539973,0.15859428],"genre_scores_gemma":[0.9779544,0.00033419012,0.00091017893,0.000086839034,0.00034446412,0.00006230829,0.005162891,0.000054202523,0.01509054],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9950339,0.00006229906,0.0012077235,0.0007532928,0.0022733663,0.0006693795],"domain_scores_gemma":[0.9971225,0.00012161149,0.00057861477,0.00040118466,0.001346494,0.00042959396],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012895442,0.00038221246,0.0007197187,0.00026916974,0.000277594,0.000095927106,0.000656614,0.0009913956,0.0025784727],"category_scores_gemma":[0.00019049025,0.00036030385,0.0003855172,0.0010858194,0.00028739104,0.0005679331,0.0000030385413,0.00063441665,0.000022752392],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012146582,0.0010420012,0.6135185,0.0006042428,0.00017408587,0.000021298856,0.007988856,0.000027201258,0.0007928868,0.001935507,0.31663844,0.05713556],"study_design_scores_gemma":[0.00021728096,0.00003138959,0.278484,0.000103140665,0.00013165682,3.3066055e-8,0.00036070257,0.0000013805194,0.00021766745,0.00039571547,0.71952915,0.0005279144],"about_ca_topic_score_codex":0.042523764,"about_ca_topic_score_gemma":0.27531135,"teacher_disagreement_score":0.4028907,"about_ca_system_score_codex":0.00018111037,"about_ca_system_score_gemma":0.0016774214,"threshold_uncertainty_score":0.9998849},"labels":[],"label_agreement":null},{"id":"W4231810954","doi":"10.32920/ryerson.14661927","title":"Planning Policies to Support the Role of Active Transportation in Building Complete Communities Within the Town of Innisfil","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Plan (archaeology); Transportation planning; Argument (complex analysis); Order (exchange); Business; Environmental planning; Pedestrian; Transport engineering; Geography; Engineering; Finance","score_opus":0.06413593728072467,"score_gpt":0.3467654189992847,"score_spread":0.28262948171856006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4231810954","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9882854,0.00014433483,0.00019714431,0.0007499008,0.000106410436,0.00048014603,0.00016551845,0.000020910857,0.009850203],"genre_scores_gemma":[0.9992219,0.000013841751,0.00036205485,0.00013530372,0.000039967825,0.000035533365,0.000102533704,0.000008364041,0.000080475955],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9983333,0.00027997632,0.0005872171,0.00016348442,0.00043485677,0.00020121704],"domain_scores_gemma":[0.99875784,0.000286571,0.00035123556,0.00037453667,0.00019336086,0.000036454272],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001149911,0.00015107793,0.00038225486,0.000094229,0.00028135526,0.00006494202,0.0008850281,0.00013534549,0.00020158055],"category_scores_gemma":[0.00003113727,0.00009802408,0.00012890821,0.0003540655,0.00058325863,0.00014352814,0.000083625455,0.00051096914,1.6608585e-7],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041297742,0.000051978594,0.3463445,0.0000528808,0.000035756708,9.066681e-7,0.64322716,0.002725157,0.0006999385,0.005608961,0.000012751779,0.0011986969],"study_design_scores_gemma":[0.00007536954,0.000020833906,0.49558917,0.00020131239,0.000032992397,4.0627768e-8,0.4973831,0.00006943256,0.0028089783,0.0032943836,0.00040537227,0.00011902659],"about_ca_topic_score_codex":0.24862783,"about_ca_topic_score_gemma":0.25499928,"teacher_disagreement_score":0.14924468,"about_ca_system_score_codex":0.000052433228,"about_ca_system_score_gemma":0.0004457908,"threshold_uncertainty_score":0.75859505},"labels":[],"label_agreement":null},{"id":"W4231810991","doi":"10.1080/01998590709509520","title":"Editorial Guidelines for Submittals","year":2007,"lang":"en","type":"article","venue":"Energy Engineering","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Guelph","keywords":"Environmental science","score_opus":0.030815010270781425,"score_gpt":0.3254420937290821,"score_spread":0.2946270834583007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4231810991","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11348224,0.00071959407,0.6395253,0.00075319275,0.23394097,0.0002244476,0.0000123421905,0.0007315344,0.010610401],"genre_scores_gemma":[0.8103734,0.000011612403,0.005157746,0.000059196886,0.18316393,0.000012286667,0.000008851,0.000015067511,0.001197891],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992205,0.000003587473,0.0001850946,0.00012179275,0.00019060088,0.00027844985],"domain_scores_gemma":[0.99953556,0.00010149658,0.000023587674,0.00008007815,0.0001722266,0.00008705969],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007813687,0.00006734392,0.000085417945,0.00004111969,0.00011752401,0.000025894135,0.00013378772,0.00008949588,0.000025874384],"category_scores_gemma":[0.00034647126,0.000067498564,0.00006426424,0.00012841058,0.00002180647,0.00012969798,0.0000059437066,0.000038479244,0.0000011177281],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014594366,0.00014926569,0.02352418,0.000099291196,0.00012187733,0.000011591126,0.0040659215,0.009686485,0.014162107,0.24357264,0.6447774,0.059683315],"study_design_scores_gemma":[0.00012421602,0.00000681782,0.0008445912,0.000006255286,0.0000046962305,2.1583935e-8,0.00006732332,0.00019253888,0.001984515,0.00031043479,0.996357,0.00010158695],"about_ca_topic_score_codex":0.00086604943,"about_ca_topic_score_gemma":0.001183956,"teacher_disagreement_score":0.6968912,"about_ca_system_score_codex":0.000037794238,"about_ca_system_score_gemma":0.000038363283,"threshold_uncertainty_score":0.27525115},"labels":[],"label_agreement":null},{"id":"W4232161480","doi":"10.1093/geroni/igx004.4782","title":"REDEFINING THE GOALS OF AGE-FRIENDLY INTERVENTIONS","year":2017,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Psychological intervention; Environmentally friendly; Presentation (obstetrics); Perspective (graphical); User Friendly; Public relations; Political science; Psychology; Sociology; Medicine; Computer science; Ecology","score_opus":0.09353283496043854,"score_gpt":0.40050144668117105,"score_spread":0.30696861172073253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4232161480","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9385281,0.000031167736,0.00086379104,0.0028108717,0.00024165951,0.000083395076,0.0000017702761,0.000016485938,0.057422746],"genre_scores_gemma":[0.9990513,0.00000280444,0.0002507719,0.00004162816,0.000058473157,0.0000068508766,0.0000030484732,0.000002422763,0.0005827447],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992902,0.00003899275,0.00034103537,0.00008789959,0.00013974698,0.000102094426],"domain_scores_gemma":[0.9993211,0.000046408568,0.00030127258,0.00022257517,0.00010163603,0.000007002607],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015927632,0.000033278684,0.00007000334,0.00008626247,0.000594414,0.00010776147,0.00034118767,0.000026268399,0.000078434154],"category_scores_gemma":[0.0005120678,0.000027315911,0.0000337681,0.00036596323,0.00027266407,0.00031632348,0.000027555929,0.000093642026,0.0000022376757],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000016253953,0.000020027832,0.861477,0.000015275864,0.000003546019,0.0000013399135,0.006565534,0.0000034060185,0.00021167396,0.1234352,0.00012039659,0.008144965],"study_design_scores_gemma":[0.00012203735,0.00000419681,0.9769995,0.00016433735,0.0000035183878,2.712962e-8,0.0026003183,0.00000896576,0.00032580158,0.015810432,0.0039137336,0.000047126698],"about_ca_topic_score_codex":0.0026431654,"about_ca_topic_score_gemma":0.0039416575,"teacher_disagreement_score":0.11552249,"about_ca_system_score_codex":0.000023697132,"about_ca_system_score_gemma":0.000042148622,"threshold_uncertainty_score":0.4571812},"labels":[],"label_agreement":null},{"id":"W4232608072","doi":"10.32920/14640870","title":"A Geographic Visualization Approach to Multi-Criteria Evaluation of Urban Quality of Life","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Analytic hierarchy process; Usability; Visualization; Computer science; Quality (philosophy); Process (computing); Human–computer interaction; Data science; Data mining; Operations research; Engineering","score_opus":0.18447753244005474,"score_gpt":0.4451799840628818,"score_spread":0.260702451622827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4232608072","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9588341,0.0004085565,0.03119271,0.00005373004,0.00033502025,0.0011824992,0.000044509703,0.00005067569,0.0078981845],"genre_scores_gemma":[0.9948276,0.000021943244,0.0044562356,0.00004481485,0.00009946466,0.00007998109,0.0003460854,0.000011009165,0.00011281809],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9954555,0.0013639907,0.00097200245,0.0005695872,0.0014436916,0.00019525099],"domain_scores_gemma":[0.9969761,0.00006013381,0.00052493066,0.0005130666,0.0017747686,0.00015102328],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0070885518,0.00017071742,0.00056984986,0.00018513092,0.00009991388,0.0000705328,0.00042095952,0.0003401589,0.0005454651],"category_scores_gemma":[0.001011708,0.00017103244,0.0002651125,0.0006312461,0.00021678512,0.00015949811,0.00013961594,0.00014772436,7.3277704e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039372873,0.001311529,0.9597179,0.00087072665,0.00010578345,5.014071e-8,0.033040874,0.00027819513,0.0005303182,0.0033129011,0.00008962125,0.0007027216],"study_design_scores_gemma":[0.00046567534,0.0000128892925,0.9867417,0.00009634238,0.00015525476,4.7229367e-9,0.006842193,0.0042735613,0.00037811586,0.0007301959,0.00003860824,0.0002654246],"about_ca_topic_score_codex":0.030147683,"about_ca_topic_score_gemma":0.009005658,"teacher_disagreement_score":0.035993535,"about_ca_system_score_codex":0.00007259076,"about_ca_system_score_gemma":0.0011094114,"threshold_uncertainty_score":0.9763107},"labels":[],"label_agreement":null},{"id":"W4232633627","doi":"10.32920/ryerson.14662812.v1","title":"Why don't we bike to the Go? Exploring the potential for cycling to suburban transit stations","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; University of Waterloo","funders":"","keywords":"Cycling; Transport engineering; Mile; Recreation; Transit (satellite); Perception; Typology; Geography; Engineering; Psychology; Public transport; Forestry; Political science","score_opus":0.086318953034884,"score_gpt":0.3321806256043063,"score_spread":0.24586167256942226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4232633627","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5690656,0.00025818584,0.2874923,0.13471138,0.0030909113,0.002592803,0.00013756024,0.00016608801,0.0024851807],"genre_scores_gemma":[0.9888633,0.000114885304,0.0031287745,0.0025893394,0.0012443245,0.00092980516,0.000060670205,0.000027721551,0.003041174],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977331,0.00016555504,0.00042315334,0.0006433893,0.0005420939,0.0004927114],"domain_scores_gemma":[0.9985974,0.00026264024,0.00007581156,0.00061063294,0.00025425112,0.00019929347],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0011998167,0.00022529607,0.00027598502,0.00007274181,0.0014643705,0.00074553845,0.0011021752,0.00012984709,0.00048075107],"category_scores_gemma":[0.00011439097,0.00014200555,0.0003761066,0.00045287903,0.00011154556,0.00024209417,0.00014331352,0.00039796182,0.000011748502],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033363895,0.0006273594,0.017307963,0.00061661593,0.00074831984,0.000029090037,0.73815703,0.073228024,0.0014189957,0.012003014,0.073944286,0.08158566],"study_design_scores_gemma":[0.0005643945,0.00007966425,0.05133997,0.0004395073,0.00064074586,3.4777668e-7,0.16335261,0.000718696,0.0017718127,0.011108374,0.7684719,0.0015120045],"about_ca_topic_score_codex":0.013795787,"about_ca_topic_score_gemma":0.18373385,"teacher_disagreement_score":0.69452757,"about_ca_system_score_codex":0.00009516873,"about_ca_system_score_gemma":0.00034896788,"threshold_uncertainty_score":0.9998356},"labels":[],"label_agreement":null},{"id":"W4232742088","doi":"10.1037/e507502013-227","title":"Drinking, Substance Use and the Operation of Motor Vehicles in Canada: 2010 Findings From the Health Behaviour in School-aged Children Survey","year":2012,"lang":"en","type":"dataset","venue":"PsycEXTRA Dataset","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Substance use; Environmental health; Psychology; Gerontology; Medicine; Psychiatry","score_opus":0.04003557764632377,"score_gpt":0.2982543611707978,"score_spread":0.258218783524474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4232742088","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.46033567,0.0007917201,4.573e-7,0.00030525404,0.00014420463,0.000496794,0.5379236,0.00000220947,1.3654699e-7],"genre_scores_gemma":[0.3079792,0.00071603653,0.000010817157,0.0002742576,0.00007180658,0.000020783138,0.69091773,0.000006543907,0.0000028415589],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9965922,0.0012862873,0.0006741481,0.00044489617,0.0005598877,0.0004425514],"domain_scores_gemma":[0.997935,0.0007697942,0.00033137787,0.00078763894,0.000031910964,0.0001443],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004184204,0.00023493505,0.00046985853,0.0000605794,0.000346022,0.00016355097,0.0011048308,0.00016603606,0.0002337512],"category_scores_gemma":[0.00028892737,0.0001570522,0.00003287274,0.00029542155,0.0004263709,0.00054912956,0.00005887891,0.00079236034,0.0000043639347],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057964357,0.000032926506,0.5253532,0.0000047921567,0.0000073640163,8.478553e-7,0.00022828646,4.3041803e-7,2.804526e-7,0.0000011418998,0.47429717,0.00001562609],"study_design_scores_gemma":[0.00070812233,0.000006288002,0.98172885,0.00007461277,0.000026647154,1.2206979e-7,0.00015499059,0.000001264761,7.9639796e-7,0.000013928384,0.017119976,0.00016440732],"about_ca_topic_score_codex":0.9993196,"about_ca_topic_score_gemma":0.99994415,"teacher_disagreement_score":0.4571772,"about_ca_system_score_codex":0.00028429748,"about_ca_system_score_gemma":0.0014235048,"threshold_uncertainty_score":0.6404403},"labels":[],"label_agreement":null},{"id":"W4232774032","doi":"10.31234/osf.io/h5uxg","title":"The alleged 20:1 benefit-to-cost ratio of cycling: missing analyses and uncritical citations","year":2019,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Citation; Psychology; Actuarial science; Political science; Economics; Law","score_opus":0.10949621632752599,"score_gpt":0.4231585975816852,"score_spread":0.31366238125415924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4232774032","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91401196,0.0009361792,0.015929291,0.015276129,0.0006652394,0.0011780695,0.000092993796,0.00007984787,0.051830277],"genre_scores_gemma":[0.9953478,0.00008051322,0.0022030964,0.0001245383,0.00012588054,0.000015997804,0.000030143923,0.000007755058,0.0020642783],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985228,0.000103368664,0.00041326828,0.00034833443,0.00037284635,0.00023933468],"domain_scores_gemma":[0.9983756,0.00077859825,0.00009919039,0.00033001375,0.000270661,0.00014593886],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082174997,0.00013327798,0.0002766397,0.000063282234,0.0005982002,0.0002560263,0.0003604381,0.00017433274,0.00011902013],"category_scores_gemma":[0.0004547615,0.0000943647,0.000121805046,0.00018127712,0.00040200382,0.00010072137,0.00009905435,0.00025095328,0.0000058371966],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014518638,0.00043653598,0.78848195,0.00049905333,0.0005449101,0.0000058173614,0.034576256,0.0039972533,0.0048812693,0.13951394,0.0032103462,0.02370746],"study_design_scores_gemma":[0.00073734036,0.00006997761,0.7807805,0.0004979219,0.0007472965,2.3011066e-7,0.021132233,0.004362678,0.003895378,0.17048901,0.016020574,0.0012668709],"about_ca_topic_score_codex":0.0029120028,"about_ca_topic_score_gemma":0.016979458,"teacher_disagreement_score":0.08133582,"about_ca_system_score_codex":0.00003377394,"about_ca_system_score_gemma":0.00031767995,"threshold_uncertainty_score":0.9474936},"labels":[],"label_agreement":null},{"id":"W4232898225","doi":"10.32920/ryerson.14665350","title":"The hegemony of automobility: implementing cycling infrastructure in a politicized space","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Cycling; Champion; Politics; Hegemony; Dominance (genetics); Political science; Public infrastructure; Public administration; Geography; Law","score_opus":0.018306487661091782,"score_gpt":0.33944167067438835,"score_spread":0.3211351830132966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4232898225","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97284955,0.00046622273,0.00020496476,0.0013919094,0.00042032183,0.0005288923,0.000014895572,0.00006218896,0.024061045],"genre_scores_gemma":[0.99793416,0.00009139401,0.0011785292,0.000047614954,0.00014980875,0.000022833387,0.000019573448,0.000010534928,0.00054555404],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973663,0.00034079034,0.00072800217,0.0004713519,0.0004791382,0.00061442406],"domain_scores_gemma":[0.9984946,0.00038518725,0.0003139665,0.0005410226,0.00018032175,0.000084864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002564604,0.0001851612,0.00043398322,0.000064397194,0.00038563146,0.00022526145,0.0006475045,0.00027255516,0.0005149859],"category_scores_gemma":[0.00043515008,0.00013911532,0.00023172976,0.0003244583,0.00038836943,0.00011796738,0.00044702538,0.0006587799,5.2414543e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012450482,0.000048111688,0.9731869,0.00017643179,0.000042923057,0.000005562573,0.014809833,0.000074011245,0.00010511065,0.008035405,0.000046944908,0.0034562843],"study_design_scores_gemma":[0.00044821564,0.000007632231,0.88490903,0.00026594583,0.00006288131,1.1465969e-7,0.054667916,0.0003443577,0.0010560418,0.0534183,0.0044284277,0.00039114532],"about_ca_topic_score_codex":0.05339054,"about_ca_topic_score_gemma":0.15522434,"teacher_disagreement_score":0.101833805,"about_ca_system_score_codex":0.00018286215,"about_ca_system_score_gemma":0.001141145,"threshold_uncertainty_score":0.952913},"labels":[],"label_agreement":null},{"id":"W4233108174","doi":"10.22215/etd/2011-09207","title":"Repurposing suburbia","year":2011,"lang":"en","type":"dissertation","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Heritage; Library and Archives Canada","funders":"","keywords":"Repurposing; Humanities; Art; Engineering","score_opus":0.03492472628830503,"score_gpt":0.32913972288452525,"score_spread":0.29421499659622025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4233108174","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28949785,0.0004220788,0.0000067563637,0.000009020906,0.0008178543,0.00013396029,0.0000013153186,0.00011208614,0.7089991],"genre_scores_gemma":[0.55022556,0.00008736396,0.00015630737,0.00003210354,0.00024579625,0.000008308296,0.00018794357,0.000013236395,0.44904336],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990972,0.000034365617,0.00018531331,0.00024415596,0.00023429557,0.00020464962],"domain_scores_gemma":[0.9995533,0.000015866868,0.00009649722,0.00016594253,0.000091396745,0.00007698698],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00025773747,0.000103374245,0.00014764052,0.000046156074,0.00032061653,0.000060727503,0.00024548577,0.00027242533,0.006764399],"category_scores_gemma":[0.000029966439,0.000096597745,0.00010009684,0.00013304169,0.00005699146,0.00016866552,0.0000023989319,0.00015537573,0.00009446833],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023576512,0.00040919162,0.5199491,0.00040651113,0.00014093996,0.000050445597,0.16766793,9.572354e-8,0.0001885594,0.110192716,0.017411947,0.18334681],"study_design_scores_gemma":[0.000266137,0.000036625697,0.35887662,0.0002564782,0.00024874977,8.399309e-8,0.02513518,0.0000013921572,0.0035129485,0.04357537,0.566835,0.0012554296],"about_ca_topic_score_codex":0.02053503,"about_ca_topic_score_gemma":0.14582157,"teacher_disagreement_score":0.54942304,"about_ca_system_score_codex":0.000029715322,"about_ca_system_score_gemma":0.00024145831,"threshold_uncertainty_score":0.99414355},"labels":[],"label_agreement":null},{"id":"W4233127419","doi":"10.1007/bf03405662","title":"Is Access to Workplace Amenities Associated With Leisure-time Physical Activity Among Canadian Adults?","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research; Sunny Hill Foundation; Instituto Danone; University of British Columbia; Michael Smith Health Research BC; Child and Family Research Institute; Danone; Danone Institute of Canada; Heart and Stroke Foundation of Canada","keywords":"Physical activity; Odds; Amenity; Multinomial logistic regression; Logistic regression; Gerontology; Psychology; Leisure time; Cross-sectional study; Environmental health; Active living; Physical fitness; Odds ratio; Population; Demography; Medicine; Physical therapy; Business; Finance; Sociology","score_opus":0.050370558423307586,"score_gpt":0.31114295541193265,"score_spread":0.2607723969886251,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4233127419","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9348225,0.000041024447,0.000029508277,0.060200434,0.00020181196,0.00045378917,0.00008031009,0.000017031127,0.0041536097],"genre_scores_gemma":[0.99574804,0.0000039481943,0.000025687013,0.002348852,0.00035291995,0.000010657258,0.000006367893,0.000020033138,0.0014834641],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99704164,0.0004168212,0.00031752317,0.00023835003,0.00052549277,0.001460174],"domain_scores_gemma":[0.99058247,0.00013322433,0.0003720176,0.00019084412,0.0008028964,0.007918581],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0017140805,0.00018217156,0.0004980856,0.0005063564,0.0010173789,0.0009667027,0.00080245256,0.00012593108,0.001510055],"category_scores_gemma":[0.000452788,0.0001590102,0.000104674975,0.0010754315,0.00041536134,0.0023760372,0.000008347234,0.0004957086,0.000041062478],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000046085147,0.0000424418,0.9462468,0.000010305117,0.000047283804,0.00002120065,0.017433206,0.0000028956229,4.0137363e-7,0.000060612594,0.023851482,0.0122787785],"study_design_scores_gemma":[0.00023668843,0.00012747038,0.9780019,0.00012419054,0.000008704256,8.807678e-7,0.0027731108,0.000031797717,0.0000031457917,0.000102873266,0.018391449,0.00019778482],"about_ca_topic_score_codex":0.98134404,"about_ca_topic_score_gemma":0.9984853,"teacher_disagreement_score":0.060925588,"about_ca_system_score_codex":0.0026907867,"about_ca_system_score_gemma":0.032750547,"threshold_uncertainty_score":0.9994027},"labels":[],"label_agreement":null},{"id":"W4233300660","doi":"10.26686/wgtn.16998793","title":"Preference Planning and Unsustainable Desires: A Hypothesis toward 'How' Contextual and Psychological Factors Influence Travel Attitudes through Qualitative and Quantitative Measures","year":2012,"lang":"en","type":"dissertation","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Neighbourhood (mathematics); Social psychology; Psychology; Proposition; Association (psychology); Preference; Place attachment; Travel behavior; Engineering; Economics; Mathematics","score_opus":0.365399578204232,"score_gpt":0.44910014312944146,"score_spread":0.08370056492520944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4233300660","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98810524,0.0053680036,0.00030308324,0.00009929069,0.000072861985,0.0006077379,0.00004202236,0.00006548981,0.005336292],"genre_scores_gemma":[0.99618584,0.00046416034,0.0012984617,0.000038219045,0.00003028703,0.000046716916,0.00003893773,0.000018369232,0.0018789915],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9974589,0.00049577985,0.0003475178,0.00071417197,0.0004710257,0.00051260396],"domain_scores_gemma":[0.99760085,0.0014908173,0.00026639714,0.0001266465,0.00029943042,0.00021587803],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008741087,0.00040155405,0.00061265874,0.00008673821,0.00069282623,0.00031624484,0.00021804536,0.0004640928,0.000048044596],"category_scores_gemma":[0.001084287,0.0003060488,0.00005818865,0.00018677287,0.0011057503,0.0011684997,0.00002025529,0.00035575122,8.0574154e-7],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000261345,0.00011654923,0.33695084,0.00032204884,0.00009362583,0.0000040131995,0.64410055,2.2905434e-7,0.00015198535,0.016928177,0.000028660765,0.0010419546],"study_design_scores_gemma":[0.00018478939,0.000116534466,0.59789866,0.00011620246,0.000064851876,1.7802375e-7,0.39496464,3.4651055e-7,0.00010392241,0.006215418,0.000055136872,0.00027933577],"about_ca_topic_score_codex":0.0060732355,"about_ca_topic_score_gemma":0.00660554,"teacher_disagreement_score":0.2609478,"about_ca_system_score_codex":0.000053421893,"about_ca_system_score_gemma":0.00013358511,"threshold_uncertainty_score":0.99993914},"labels":[],"label_agreement":null},{"id":"W4233384938","doi":"10.32920/ryerson.14667984","title":"Does an Increase in Population Density Increases Transit Mode Split? Going Beyond the Contemporaneous Correlation Between Built Form and Public Transit Mode Share","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Public transport; Mode (computer interface); Transit (satellite); Credence; Population; Econometrics; Transport engineering; Population density; Mode choice; Geography; Statistics; Demographic economics; Demography; Economics; Computer science; Mathematics; Engineering; Sociology","score_opus":0.03408379998124015,"score_gpt":0.3060628616217651,"score_spread":0.27197906164052493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4233384938","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99219316,0.00026390702,0.0029034216,0.001439421,0.00018879148,0.0013765027,0.00040708127,0.00019281404,0.0010348908],"genre_scores_gemma":[0.99531084,0.000087276625,0.0003301274,0.00014967275,0.00029556616,0.00005122799,0.0036143719,0.000032734577,0.00012817052],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99612415,0.0006951494,0.0008684433,0.0010477155,0.0007299792,0.0005345896],"domain_scores_gemma":[0.9980982,0.00037207865,0.00029592004,0.0006218979,0.00027096522,0.0003409588],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013438201,0.00043976057,0.0007556501,0.00018575633,0.00082045834,0.00078461505,0.00048090424,0.00070492976,0.00018043473],"category_scores_gemma":[0.00018860148,0.00030182416,0.00021880365,0.00035620068,0.00030252896,0.0015527674,0.000107051754,0.0008627443,0.000001173125],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008881709,0.00016596659,0.9789966,0.00016510664,0.000048106125,0.000030389645,0.014760566,0.00027400427,0.000016629447,0.0005847163,0.0000071058585,0.004861988],"study_design_scores_gemma":[0.0005623195,0.00002253406,0.9634233,0.00017214833,0.00019979793,0.0000014687262,0.0056552934,0.00884632,0.000029779096,0.020477371,0.00003317129,0.00057647686],"about_ca_topic_score_codex":0.4906348,"about_ca_topic_score_gemma":0.83063954,"teacher_disagreement_score":0.34000474,"about_ca_system_score_codex":0.00027690787,"about_ca_system_score_gemma":0.000520936,"threshold_uncertainty_score":0.9999434},"labels":[],"label_agreement":null},{"id":"W4233425366","doi":"10.22215/etd/2021-14561","title":"Building Resiliency into a Resource-Based Community","year":2021,"lang":"en","type":"dissertation","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University","funders":"","keywords":"Interdependence; Context (archaeology); Resource (disambiguation); Plan (archaeology); Community development; Geography; Capital (architecture); Business; Environmental planning; Political science; Economic growth; Computer science; Economics; Archaeology","score_opus":0.0253978551256406,"score_gpt":0.3502546109280662,"score_spread":0.3248567558024256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4233425366","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70686895,0.00036897656,0.00010557055,0.00019292669,0.00028695475,0.0001776594,0.0000035596315,0.00013953511,0.29185587],"genre_scores_gemma":[0.9611236,0.000010720638,0.0018289854,0.00017592194,0.00017626175,0.000020928383,0.00080505555,0.000021646107,0.03583691],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9978591,0.0006761232,0.00033325134,0.00029721073,0.0005366257,0.00029766135],"domain_scores_gemma":[0.99874866,0.00026991853,0.00014963039,0.0004937448,0.00020337017,0.00013466268],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012445771,0.00018504017,0.00028946175,0.000103897866,0.0017289484,0.0001693917,0.00067838555,0.00040234195,0.0017535411],"category_scores_gemma":[0.00036343458,0.00018584401,0.000191948,0.0005206656,0.00015328552,0.00013841725,0.000014509592,0.0008187174,0.000011639867],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00073845475,0.0030005905,0.31112182,0.003744119,0.00025379783,0.00013083602,0.4683658,0.000037120324,0.004079538,0.0557754,0.024912534,0.12784001],"study_design_scores_gemma":[0.0010267689,0.000118074604,0.29060718,0.0014433834,0.00032520993,8.8744336e-8,0.33112332,0.000034639364,0.011364021,0.03716524,0.32469898,0.0020930807],"about_ca_topic_score_codex":0.07183942,"about_ca_topic_score_gemma":0.41788954,"teacher_disagreement_score":0.3460501,"about_ca_system_score_codex":0.00014954236,"about_ca_system_score_gemma":0.00093466986,"threshold_uncertainty_score":0.99957067},"labels":[],"label_agreement":null},{"id":"W4233499789","doi":"10.32920/ryerson.14652099","title":"The Bus Stops Here: Rethinking Our Approach to Bus Transit","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Public transport; Transit (satellite); Bus rapid transit; Transport engineering; Key (lock); Perception; Service (business); Business; Sustainability; Transit system; Computer science; Engineering; Public relations; Marketing; Political science; Computer security; Psychology","score_opus":0.05969652544731322,"score_gpt":0.3207042138200832,"score_spread":0.26100768837276994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4233499789","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.54578626,0.0017694329,0.01974411,0.019418133,0.0030228922,0.0016460847,0.000017694292,0.00048865634,0.40810674],"genre_scores_gemma":[0.98348105,0.00012286575,0.0039973613,0.00048133402,0.0006912427,0.00007044918,0.000030962252,0.000022934184,0.011101793],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9969891,0.00032806653,0.00042638808,0.00083690166,0.0008549046,0.0005646404],"domain_scores_gemma":[0.99854827,0.00008629654,0.00011461379,0.0007867779,0.00023166894,0.00023236047],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002142638,0.00026999996,0.00038499926,0.000038271814,0.0012366702,0.00088371814,0.0013868074,0.0004998778,0.000093419825],"category_scores_gemma":[0.000112051646,0.00019442904,0.00031423324,0.00038937505,0.00010947466,0.00014255299,0.00019578089,0.0010323125,0.000015340096],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002425142,0.0015238632,0.15666188,0.0011261333,0.0008706033,0.00013908448,0.6564441,0.0024816762,0.00022927625,0.057554133,0.015154313,0.10757244],"study_design_scores_gemma":[0.0012739394,0.00008675297,0.20864227,0.0008439409,0.0007324184,0.00000309326,0.48964003,0.0006195445,0.0009789375,0.08917982,0.20308708,0.0049121743],"about_ca_topic_score_codex":0.014965787,"about_ca_topic_score_gemma":0.03721603,"teacher_disagreement_score":0.4376948,"about_ca_system_score_codex":0.0001622292,"about_ca_system_score_gemma":0.0007839791,"threshold_uncertainty_score":0.99159366},"labels":[],"label_agreement":null},{"id":"W4233584048","doi":"10.4018/978-1-61350-456-7.ch415","title":"Bike Transportation System Design","year":2012,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Transport engineering; Public transport; Bike sharing; Sustainability; Focus (optics); Engineering; Computer science","score_opus":0.03956834398196824,"score_gpt":0.27627806174285546,"score_spread":0.23670971776088723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4233584048","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00046558602,0.0009000479,0.0016152986,0.000028502662,0.00087750534,0.00068423996,0.00022360895,0.00037629413,0.99482894],"genre_scores_gemma":[0.915167,0.0000068894674,0.00035854202,0.000063564585,0.0008175731,0.000018014398,0.000017872148,0.000032500164,0.08351804],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99797463,0.00005294559,0.0004510426,0.00041085194,0.00064527994,0.00046527467],"domain_scores_gemma":[0.9989711,0.000038033,0.00026239027,0.00031233963,0.0001298434,0.00028626274],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00048408896,0.00032744935,0.00041483677,0.00004215577,0.00035222457,0.00007908822,0.00038911583,0.0006321166,0.000210295],"category_scores_gemma":[0.0000049953887,0.0003257825,0.00026623812,0.000025880172,0.00026462617,0.00013816361,0.000005563553,0.00021913977,0.0002549013],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002975088,0.0000084626445,0.0013184365,0.00007758472,0.000045054843,0.000024489784,0.00086313713,8.988263e-7,0.0000024706076,0.992985,0.0005493607,0.00409537],"study_design_scores_gemma":[0.0010970172,0.00013683329,0.0118568335,0.0012427486,0.0014805687,0.000003366588,0.0010728443,0.0000058995606,0.00009544645,0.4777549,0.5025387,0.00271486],"about_ca_topic_score_codex":0.0017532385,"about_ca_topic_score_gemma":0.004329588,"teacher_disagreement_score":0.9147014,"about_ca_system_score_codex":0.00047783798,"about_ca_system_score_gemma":0.0004229468,"threshold_uncertainty_score":0.9999194},"labels":[],"label_agreement":null},{"id":"W4234898455","doi":"10.1680/jtran.15.00095","title":"Greenhouse gas from ridership on the Jubilee Line Extension","year":2016,"lang":"en","type":"article","venue":"Proceedings of the Institution of Civil Engineers - Transport","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Commonwealth Scholarship Commission","keywords":"Greenhouse gas; Mode (computer interface); Mode choice; Greenhouse; Line (geometry); Environmental science; Extension (predicate logic); Transport engineering; Survey data collection; Agricultural economics; Geography; Economics; Public transport; Engineering; Computer science; Mathematics; Statistics","score_opus":0.026827197516804395,"score_gpt":0.2413028438837837,"score_spread":0.2144756463669793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4234898455","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9821784,0.00008026744,0.00056987174,0.0061299084,0.000385946,0.0003783457,0.000052318628,0.000092654256,0.010132326],"genre_scores_gemma":[0.99920964,0.00014192291,0.000049782626,0.00007121727,0.00017481986,0.0000121339435,0.000002144799,0.000013132135,0.00032518758],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99834675,0.000010803263,0.00043119973,0.00026819744,0.0006900764,0.00025294948],"domain_scores_gemma":[0.99906474,0.0001244733,0.00023469908,0.0002027903,0.00029036557,0.000082905106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076883275,0.00016952357,0.00024732418,0.0000695768,0.00024914934,0.000010479274,0.0006652411,0.0001338474,0.00021037813],"category_scores_gemma":[0.00023585619,0.00008557933,0.0002304997,0.00038676415,0.0008857083,0.00039363612,0.000010912949,0.00016991481,0.000004634273],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012056744,0.0012954042,0.60090125,0.000443886,0.00034906607,0.000004463239,0.02209323,0.00063015125,0.11079332,0.24881603,0.0039954605,0.009472039],"study_design_scores_gemma":[0.0026386715,0.00038749783,0.6416037,0.0028055166,0.0005025861,7.700313e-7,0.002744325,0.000095754694,0.2846556,0.029300492,0.034357093,0.00090800785],"about_ca_topic_score_codex":0.0011507075,"about_ca_topic_score_gemma":0.0020028383,"teacher_disagreement_score":0.21951555,"about_ca_system_score_codex":0.00006627966,"about_ca_system_score_gemma":0.00013084339,"threshold_uncertainty_score":0.3489824},"labels":[],"label_agreement":null},{"id":"W4235059342","doi":"10.32920/ryerson.14645571.v1","title":"Revitalizing Toronto's Inner Suburban Neighbourhoods: A Study of the Markham and Lawrence Area of Scarborough","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Neighbourhood (mathematics); Inner city; Geography; Middle class; Economic growth; Regional science; Political science; Economics","score_opus":0.03329082590959024,"score_gpt":0.3042890085148485,"score_spread":0.27099818260525826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4235059342","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9545188,0.0027912855,0.00001973275,0.00014703847,0.00037808082,0.00076444447,0.000014506319,0.00002555374,0.041340593],"genre_scores_gemma":[0.9988547,0.00023110496,0.00013225818,0.000030600808,0.00007511302,0.000015836067,0.0000041272156,0.000010316486,0.0006459608],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977162,0.00034217522,0.00057479285,0.00051341363,0.00062868744,0.00022474438],"domain_scores_gemma":[0.9984095,0.000102926286,0.00039676033,0.0007526461,0.00026612723,0.00007202905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009309514,0.00020085533,0.0005500236,0.000019263372,0.00017626198,0.00009261628,0.00071328506,0.0002017685,0.0006525909],"category_scores_gemma":[0.00015039221,0.00014065005,0.00016481895,0.00021397258,0.00041148416,0.00024947445,0.0005215264,0.00025640335,7.41084e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011810129,0.00040084607,0.9676588,0.0002077911,0.00007666614,0.0000022202546,0.029790454,0.0000038401236,0.00006715898,0.0005594312,0.000049304672,0.0011716372],"study_design_scores_gemma":[0.00026818176,0.000046002973,0.95110404,0.0004341818,0.0001610576,1.0045252e-7,0.04658266,0.000015736146,0.000261132,0.00074490334,0.00014333411,0.00023866586],"about_ca_topic_score_codex":0.17341076,"about_ca_topic_score_gemma":0.30945864,"teacher_disagreement_score":0.1360479,"about_ca_system_score_codex":0.00008439866,"about_ca_system_score_gemma":0.00033950945,"threshold_uncertainty_score":0.8320936},"labels":[],"label_agreement":null},{"id":"W4235739188","doi":"10.32920/ryerson.14650002","title":"Traversing physical barriers and activating social voids","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Interpersonal ties; Built environment; Social psychology; Feeling; Social isolation; Place attachment; Mood; Sociology; Psychology; Engineering; Civil engineering","score_opus":0.027926823459089808,"score_gpt":0.32966218158920324,"score_spread":0.30173535813011343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4235739188","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9579089,0.000041963936,0.00031059983,0.00089098845,0.00027206747,0.00012472662,0.0000054272373,0.00008702242,0.04035826],"genre_scores_gemma":[0.9981447,0.000008963642,0.0003251849,0.000081300066,0.0008678847,0.0000045765773,0.0000147039655,0.000009290311,0.00054341916],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9987358,0.00012337418,0.00013858954,0.00042096167,0.00031735614,0.00026394083],"domain_scores_gemma":[0.99954015,0.00006614276,0.00007553104,0.000102638114,0.00006349575,0.00015205539],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031205578,0.00014048071,0.00026605654,0.000026341939,0.00087842223,0.0003018941,0.00017728138,0.00023985918,0.00038914089],"category_scores_gemma":[0.00008268524,0.000143273,0.00014497389,0.0001116491,0.00039320672,0.00018737024,0.00012499552,0.00049485854,8.066206e-7],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037754417,0.00017557961,0.2568019,0.00041490005,0.00021310238,0.00003273411,0.6567885,0.000011335252,0.0013360524,0.005140545,0.0006639414,0.07838362],"study_design_scores_gemma":[0.0009629353,0.00003261387,0.47203988,0.0003214732,0.00029839962,3.028607e-7,0.48734644,0.0008670818,0.0034248533,0.02550797,0.0070745484,0.0021234963],"about_ca_topic_score_codex":0.0041473955,"about_ca_topic_score_gemma":0.0013481273,"teacher_disagreement_score":0.21523798,"about_ca_system_score_codex":0.00009779111,"about_ca_system_score_gemma":0.00052318466,"threshold_uncertainty_score":0.6756202},"labels":[],"label_agreement":null},{"id":"W4235938241","doi":"10.1079/tourism.2021.0014","title":"Parkbus – A Combined Sustainable Transportation Solution for Residents and Visitors","year":2021,"lang":"en","type":"article","venue":"Tourism Cases","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Dominion; Tourism; Externality; Business; Sustainable tourism; Key (lock); Sustainable development; Environmental planning; Marketing; Political science; Geography; Economics; Ecology","score_opus":0.018271630872664934,"score_gpt":0.29945823459620924,"score_spread":0.2811866037235443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4235938241","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965915,0.00053481595,0.00062270253,0.0009410961,0.00014120294,0.0002571191,0.00001980975,0.00005458505,0.00083714054],"genre_scores_gemma":[0.9930936,0.00005256521,0.0002607075,0.000051097282,0.0001775466,0.000024632813,0.00006829444,0.000005912732,0.0062656626],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99922156,0.000044624227,0.00014394497,0.00019313776,0.00015487972,0.00024184662],"domain_scores_gemma":[0.99949855,0.00012390301,0.000047827565,0.00008177954,0.00016895808,0.00007896725],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024162949,0.00006454431,0.00010904144,0.000027633805,0.00053722423,0.000075548385,0.000049681326,0.00006603789,0.00008947289],"category_scores_gemma":[0.00012797932,0.000068348796,0.000049160837,0.00014694921,0.000090262554,0.0003164763,0.0000034339032,0.000040163555,7.346852e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00071153615,0.00060796103,0.8987873,0.00065401674,0.00009013532,0.002311722,0.027101342,0.000010142954,0.001134796,0.019008895,0.040351078,0.009231073],"study_design_scores_gemma":[0.0013710584,0.0001272244,0.94092005,0.000043578235,0.00012743851,0.0000015236142,0.010883932,0.000037761733,0.0027267723,0.020053562,0.023407802,0.00029927125],"about_ca_topic_score_codex":0.0073165935,"about_ca_topic_score_gemma":0.0075452877,"teacher_disagreement_score":0.042132773,"about_ca_system_score_codex":0.00003926844,"about_ca_system_score_gemma":0.00015917006,"threshold_uncertainty_score":0.99929374},"labels":[],"label_agreement":null},{"id":"W4235969261","doi":"10.32920/ryerson.14655471.v1","title":"Exploring Work And Non-Work Cycling Behaviour In The Greater Toronto and Hamilton Area, Canada","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"University of Toronto","keywords":"Cycling; TRIPS architecture; Metropolitan area; Work (physics); Journey to work; Transport engineering; Travel behavior; Neighbourhood (mathematics); Geography; Travel survey; Built environment; Engineering; Civil engineering; Mathematics; Public transport","score_opus":0.08410366780399021,"score_gpt":0.28324906447254883,"score_spread":0.19914539666855863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4235969261","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9927608,0.00082386326,0.000021766597,0.0005068637,0.00047734517,0.00029793807,0.000004179861,0.000018471223,0.0050887773],"genre_scores_gemma":[0.9986965,0.000359612,0.00014575767,0.00013129097,0.00015064582,0.00006826034,0.000013367599,0.000008897877,0.0004256877],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985172,0.000097303135,0.00025871812,0.0004834153,0.00033559286,0.00030773177],"domain_scores_gemma":[0.99942744,0.000091844835,0.00006296049,0.0002828318,0.00003673783,0.00009819881],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006335925,0.00018332074,0.00026309822,0.000016043114,0.0002754681,0.00032423428,0.0002834162,0.00013850005,0.00015097314],"category_scores_gemma":[0.000017242066,0.00013551934,0.00004318367,0.00011966703,0.00010464011,0.00027559526,0.000114302464,0.00035578135,8.780068e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000058242754,0.000011965219,0.9701383,0.000019545212,0.0000073336582,0.000036852285,0.028689967,0.000004208303,4.2398815e-7,0.0000095421665,0.000067456116,0.0010085964],"study_design_scores_gemma":[0.00007395936,0.0000021870233,0.9795374,0.00015988488,0.000025358311,8.145432e-8,0.01969907,0.0000015795074,0.000011861687,0.00003976388,0.0002633675,0.00018545736],"about_ca_topic_score_codex":0.97270894,"about_ca_topic_score_gemma":0.9977431,"teacher_disagreement_score":0.0250342,"about_ca_system_score_codex":0.0002230985,"about_ca_system_score_gemma":0.00032716745,"threshold_uncertainty_score":0.5526318},"labels":[],"label_agreement":null},{"id":"W4236023139","doi":"10.53910/26531313-e200471427-429190","title":"Non-motorized mobility in cities of the future: College and university campuses as a pilot project","year":2004,"lang":"en","type":"article","venue":"Ekistics and the new habitat","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Sustainability; Library science; Political science; Geography; Sociology; Regional science; Engineering","score_opus":0.010752805902909857,"score_gpt":0.24790984154892146,"score_spread":0.2371570356460116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4236023139","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99297416,0.00026502932,0.00002893941,0.0020017321,0.00020309052,0.0004908029,0.000032085816,0.000008830267,0.003995314],"genre_scores_gemma":[0.99904406,0.00014181985,0.00010096587,0.000045361143,0.00009253477,0.0000013461176,6.003374e-7,0.0000027191393,0.0005706003],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99938,0.00008592335,0.00011864004,0.00013688013,0.00015220464,0.00012633156],"domain_scores_gemma":[0.9995843,0.0001398657,0.000060424405,0.00013285314,0.00004091936,0.000041599138],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000449762,0.00007174458,0.00015790881,0.000022039176,0.0003255362,0.000019594365,0.00017793858,0.000040864907,0.0000062613517],"category_scores_gemma":[0.00008569368,0.000042760417,0.000037162856,0.00023910549,0.0010527062,0.000071340306,0.000042684696,0.00010085003,2.764391e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001149334,0.00029255214,0.5693871,0.000103899554,0.0000388023,0.000010771758,0.04164709,0.000005545454,0.00007754147,0.3865082,0.0003489798,0.0004302345],"study_design_scores_gemma":[0.006469666,0.00015437747,0.74720716,0.00006970881,0.00007813898,7.568744e-7,0.026732093,0.000013017691,0.00006939192,0.20660517,0.012406518,0.00019401702],"about_ca_topic_score_codex":0.019339634,"about_ca_topic_score_gemma":0.051919986,"teacher_disagreement_score":0.17990303,"about_ca_system_score_codex":0.000045322457,"about_ca_system_score_gemma":0.0004090551,"threshold_uncertainty_score":0.98719066},"labels":[],"label_agreement":null},{"id":"W4236110080","doi":"10.32920/ryerson.14648595.v1","title":"Emerging urbanism and cycling development : a new cycling agenda for the city of Toronto","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University; Algonquin College","funders":"","keywords":"Cycling; Recreation; Enabling; Urbanism; Urban planning; Environmental planning; Business; Transport engineering; Political science; Geography; Engineering; Civil engineering; Psychology; Architecture","score_opus":0.07215657372603532,"score_gpt":0.3560819472243157,"score_spread":0.2839253734982804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4236110080","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9072971,0.010765438,0.06881432,0.0009451844,0.001230292,0.0009983834,0.000008158586,0.00008462693,0.009856501],"genre_scores_gemma":[0.97680837,0.00050572376,0.01962655,0.00008956845,0.00032548775,0.000032784348,0.000015926613,0.000012308248,0.0025832537],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983699,0.000049014237,0.0004992392,0.0004630013,0.0003258602,0.00029300322],"domain_scores_gemma":[0.998966,0.00031109783,0.00022467642,0.00027143196,0.0001225866,0.00010425292],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012118937,0.00017826834,0.0003382784,0.000013451498,0.0005844926,0.00016071805,0.0004040876,0.00019604179,0.00061678246],"category_scores_gemma":[0.0001484957,0.00013708683,0.00016493263,0.00004940963,0.000118795775,0.00016469134,0.00023721613,0.00019376149,1.8913248e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006176184,0.00018777265,0.39945555,0.0009201,0.0006393326,0.000005128322,0.3255478,0.00009998838,0.00057336263,0.0028567263,0.000723399,0.26892906],"study_design_scores_gemma":[0.0013960954,0.000033476128,0.7636517,0.0012381999,0.00069666316,3.7407133e-7,0.09052211,0.00090871274,0.009335641,0.011415193,0.118876174,0.001925644],"about_ca_topic_score_codex":0.08700287,"about_ca_topic_score_gemma":0.24120429,"teacher_disagreement_score":0.36419615,"about_ca_system_score_codex":0.00013828174,"about_ca_system_score_gemma":0.0010853577,"threshold_uncertainty_score":0.91907686},"labels":[],"label_agreement":null},{"id":"W4236191521","doi":"10.4095/300998","title":"Mode of Transportation to Work, 2001: Walked or Bicycled (by census subdivision)","year":2010,"lang":"en","type":"report","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Census; Subdivision; Mode (computer interface); Work (physics); Geography; Transport engineering; Engineering; Computer science; Sociology; Archaeology; Demography; Human–computer interaction; Mechanical engineering","score_opus":0.056073993235793915,"score_gpt":0.37398091514234066,"score_spread":0.31790692190654674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4236191521","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8056502,0.00019844761,0.0006947081,0.0009280654,0.0020883963,0.001681024,0.0015575312,0.00028052868,0.1869211],"genre_scores_gemma":[0.89707935,0.00043740112,0.0010608807,0.00007650588,0.00040422,0.000037221605,0.0009856913,0.000046894154,0.099871814],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99603987,0.00007027922,0.000946275,0.0006367151,0.0017517427,0.000555113],"domain_scores_gemma":[0.99789906,0.00015254175,0.00041397382,0.00039480822,0.00074764556,0.00039196078],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011478119,0.0003199688,0.000725855,0.00016326366,0.00021099662,0.000052521125,0.00060263055,0.00084720395,0.005214901],"category_scores_gemma":[0.00022229658,0.00024448783,0.00028154682,0.00084401283,0.0002451128,0.00019416842,0.000008842977,0.0005025664,0.000028758024],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00078822474,0.0010516446,0.25636518,0.0005795482,0.00019911437,0.00005612599,0.008124229,0.000011125152,0.0012021348,0.00033091655,0.6794904,0.05180137],"study_design_scores_gemma":[0.0003909024,0.00006551914,0.13486804,0.0001938893,0.00020453229,1.3525212e-7,0.0004866697,0.0000037580407,0.00087824947,0.0002738855,0.8619255,0.0007089619],"about_ca_topic_score_codex":0.060349405,"about_ca_topic_score_gemma":0.21094319,"teacher_disagreement_score":0.18243508,"about_ca_system_score_codex":0.00015290109,"about_ca_system_score_gemma":0.0017045502,"threshold_uncertainty_score":0.9969924},"labels":[],"label_agreement":null},{"id":"W4236398397","doi":"10.5198/jtlu.v0i0.377","title":"Does travel behavior matter in defining urban form? A quantitative analysis characterizing distinct areas within a region","year":2014,"lang":"en","type":"article","venue":"Journal of Transport and Land Use","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Census; Land use; Built environment; Travel behavior; Geography; Census tract; Variables; Econometrics; Variable (mathematics); Regional science; Transport engineering; Statistics; Civil engineering; Engineering; Sociology; Economics; Mathematics; Population; Demography","score_opus":0.02785677939929994,"score_gpt":0.2867559325807965,"score_spread":0.2588991531814966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4236398397","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981702,0.00004382634,0.0010698802,0.0003529191,0.00012067142,0.00008715299,0.0000134824795,0.0000064845312,0.00013540083],"genre_scores_gemma":[0.9992618,0.00003080837,0.00040386693,0.00006957653,0.00007344062,0.0000030776362,0.0000140061375,0.000007570912,0.00013583047],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99872875,0.00009614455,0.00055733375,0.00016459747,0.0002473367,0.00020581705],"domain_scores_gemma":[0.9992466,0.00009725761,0.00035704797,0.000085294756,0.00007750741,0.00013631713],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010022669,0.00012192128,0.00042165405,0.00023514162,0.00015620678,0.00007573102,0.00012274738,0.000083100116,0.00004765486],"category_scores_gemma":[0.000025861122,0.00007230242,0.0001894968,0.0003310652,0.00011662717,0.00073212595,0.0000026009607,0.00021702025,6.041366e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013087774,0.00008628702,0.9845798,0.000017664133,0.000061018658,0.00005956603,0.014675724,0.0000015468313,0.000028491444,0.00011824774,0.0000052262126,0.00023553665],"study_design_scores_gemma":[0.0004793687,0.000053363707,0.99733645,0.000082029524,0.00052714336,0.0000018358047,0.0008113013,0.000026096166,0.000012080386,0.00015986069,0.00038262093,0.00012782545],"about_ca_topic_score_codex":0.0023516885,"about_ca_topic_score_gemma":0.02986085,"teacher_disagreement_score":0.027509162,"about_ca_system_score_codex":0.000023876533,"about_ca_system_score_gemma":0.000047659792,"threshold_uncertainty_score":0.98784167},"labels":[],"label_agreement":null},{"id":"W4236973303","doi":"10.1155/2020/2387183","title":"Retracted: Modeling Access to Public Transport in Urban Areas","year":2020,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":true,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Public transport; Transport engineering; Public access; Environmental planning; Computer science; Regional science; Business; Environmental science; Geography; Engineering; World Wide Web","score_opus":0.049129526693592086,"score_gpt":0.3283921365315271,"score_spread":0.279262609837935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4236973303","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97693175,0.00013517257,0.013892486,0.007894057,0.00028956076,0.00029115126,0.000014080094,0.00003893562,0.00051278487],"genre_scores_gemma":[0.99731594,0.00009104636,0.0015514995,0.0006146821,0.00036816168,0.0000053878716,0.000023365885,0.000017639886,0.000012285596],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976895,0.000055660537,0.000958778,0.00024969317,0.0007158627,0.00033049757],"domain_scores_gemma":[0.9986983,0.000037615093,0.00031327296,0.00009476169,0.00039454515,0.0004614898],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005931394,0.00014695122,0.0003520698,0.00021343915,0.00012550465,0.00006478294,0.0005017519,0.00013320558,0.00011883938],"category_scores_gemma":[0.00011049625,0.00014657057,0.00016583898,0.001145145,0.000046992667,0.0029654105,0.0000014932631,0.00046904502,0.0000025516474],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000505502,0.000158653,0.88677686,0.0000520706,0.000020707266,0.00011527379,0.0415775,0.06504291,0.00075582345,0.0004126924,0.00005549358,0.0045265127],"study_design_scores_gemma":[0.0010364373,0.00012228251,0.98877364,0.00010267401,0.000041998035,3.218168e-7,0.003750431,0.0002011337,0.00017035972,0.0008162975,0.004741376,0.00024303583],"about_ca_topic_score_codex":0.00019947151,"about_ca_topic_score_gemma":0.006728008,"teacher_disagreement_score":0.101996794,"about_ca_system_score_codex":0.000102272854,"about_ca_system_score_gemma":0.00034712686,"threshold_uncertainty_score":0.59769744},"labels":[],"label_agreement":null},{"id":"W4237064847","doi":"10.33915/etd.7233","title":"Three Essays on Urban and Health Economics","year":2018,"lang":"en","type":"dissertation","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Endogeneity; Metropolitan area; League; Natural experiment; Geography; Criminology; Demographic economics; Political science; Psychology; Economics; Medicine; Econometrics","score_opus":0.04038660001253524,"score_gpt":0.3392139282585468,"score_spread":0.29882732824601155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237064847","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5643549,0.0002441463,0.00000818742,0.00060097984,0.0007133511,0.00024608223,0.000016296233,0.000057584693,0.43375844],"genre_scores_gemma":[0.96225256,0.00039824343,0.00027697074,0.00062032207,0.001090502,0.000013816281,0.0005828798,0.000025746624,0.03473895],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991295,0.000016190896,0.00020571859,0.00032016714,0.000109376815,0.00021908784],"domain_scores_gemma":[0.9995149,0.00002046236,0.0001394946,0.00015453617,0.00003998081,0.00013063927],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046594403,0.00012524525,0.00021373635,0.000047218422,0.0004321103,0.0000845542,0.00016897099,0.00019510259,0.0006578677],"category_scores_gemma":[0.000008813666,0.00011427811,0.000049745562,0.00005637622,0.00010267918,0.000108109925,0.0000034925667,0.00012551427,0.00003782251],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001626942,0.00025625215,0.42682925,0.00037100716,0.000086480126,0.0000017596501,0.054322064,2.8660298e-7,7.7284705e-7,0.3159828,0.10603992,0.09594672],"study_design_scores_gemma":[0.00032046932,0.00019989035,0.78423375,0.000118866716,0.00002984749,2.0618964e-8,0.007329614,0.000015815183,0.000031346462,0.07301919,0.13415869,0.0005425289],"about_ca_topic_score_codex":0.01176318,"about_ca_topic_score_gemma":0.5674178,"teacher_disagreement_score":0.5556546,"about_ca_system_score_codex":0.00008570891,"about_ca_system_score_gemma":0.00044702177,"threshold_uncertainty_score":0.99481755},"labels":[],"label_agreement":null},{"id":"W4237069856","doi":"10.32920/14640684","title":"Accessibility to health care facilities in Montreal Island: an application of relative accessibility indicators from the perspective of senior and non-senior residents","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"Social Sciences and Humanities Research Council of Canada; Human Resources and Skills Development Canada","keywords":"Health care; Psychological intervention; Census; Business; Geography; Medicine; Environmental health; Population; Nursing; Economic growth; Economics","score_opus":0.01783518417586023,"score_gpt":0.3409993023038422,"score_spread":0.32316411812798196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237069856","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99051064,0.0010836888,0.00088048243,0.0008944123,0.00012730923,0.0024888522,0.0014908885,0.000035759716,0.002487979],"genre_scores_gemma":[0.9986661,0.000094205934,0.0006060119,0.000062450265,0.00009074976,0.0001293586,0.00024049751,0.00001384818,0.000096787735],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9950016,0.0010956698,0.0012010377,0.0014950507,0.0008218104,0.0003848417],"domain_scores_gemma":[0.99657065,0.00047706874,0.0008601453,0.0012437992,0.00059641514,0.00025190442],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001868504,0.00034828135,0.0010013577,0.00018662315,0.00031092472,0.00013727041,0.0010634259,0.0004472917,0.00013541756],"category_scores_gemma":[0.00039527455,0.0002704866,0.00018836782,0.0007051935,0.000875313,0.000675983,0.00052997394,0.0006912117,6.597607e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011886664,0.0001587716,0.6857966,0.00016504776,0.000035222027,5.566833e-7,0.31068522,0.0000085157135,0.0000119485585,0.000098211174,0.000011625145,0.0029094112],"study_design_scores_gemma":[0.00026733842,0.000038842667,0.75126445,0.00010446835,0.000029720633,1.2985986e-8,0.24085827,0.000017550368,0.00023411639,0.007003357,0.000004871977,0.0001769851],"about_ca_topic_score_codex":0.82194823,"about_ca_topic_score_gemma":0.9099871,"teacher_disagreement_score":0.08803884,"about_ca_system_score_codex":0.00076255214,"about_ca_system_score_gemma":0.0016333287,"threshold_uncertainty_score":0.9999747},"labels":[],"label_agreement":null},{"id":"W4237138883","doi":"10.32920/14639181","title":"The freedom to explore: examining the influence of independent mobility on weekday, weekend and after-school physical activity behaviour in children living in urban and inner-suburban neighbourhoods of varying socioeconomic status","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University; University of Toronto; Dalhousie University","funders":"Canadian Institutes of Health Research; Heart and Stroke Foundation of Canada","keywords":"Socioeconomic status; Neighbourhood (mathematics); Residence; Physical activity; Demography; Walkability; Psychology; Geography; Gerontology; Medicine; Physical therapy; Sociology; Mathematics; Population","score_opus":0.02098936562375429,"score_gpt":0.28963771975888336,"score_spread":0.26864835413512905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237138883","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978207,0.0001838474,0.000006217411,0.00011985846,0.00008998813,0.001535016,0.000038322345,0.000019800469,0.00018624909],"genre_scores_gemma":[0.9995341,0.00007270984,0.00003093076,0.000020633363,0.00008459077,0.00021589585,0.0000034287523,0.000019446376,0.000018315404],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9965665,0.00079464354,0.00067227805,0.0009544763,0.00048202017,0.00053012185],"domain_scores_gemma":[0.9976299,0.0009559333,0.00038938015,0.0007393108,0.00008250927,0.00020298944],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0024756812,0.0003487943,0.00071473233,0.00013615271,0.00025657893,0.00023196354,0.00062173256,0.00025067618,0.0000445926],"category_scores_gemma":[0.00035843838,0.00026066456,0.00010584248,0.00025717274,0.0006886353,0.00040957754,0.00087090494,0.0012292145,3.9604194e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008108178,0.0006807239,0.9492237,0.000037517275,0.000036392274,0.000002327892,0.0472551,0.00069741305,0.00008167676,0.000021284244,8.934796e-7,0.0018818994],"study_design_scores_gemma":[0.00030747772,0.00010514735,0.98654586,0.00021634891,0.000039908442,1.107698e-7,0.012125766,0.00010207265,0.00009350035,0.00021095024,5.1996335e-7,0.00025235818],"about_ca_topic_score_codex":0.08006066,"about_ca_topic_score_gemma":0.0623672,"teacher_disagreement_score":0.03732215,"about_ca_system_score_codex":0.00029673977,"about_ca_system_score_gemma":0.0005211342,"threshold_uncertainty_score":0.99998456},"labels":[],"label_agreement":null},{"id":"W4237257802","doi":"10.1177/0361198105190200114","title":"Three Methods for Synthesizing Base-Year Built Form for Integrated Land Use–Transport Models","year":2005,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Land use; Land cover; Grid; Computer science; Population; Representation (politics); Space (punctuation); Transport engineering; Operations research; Civil engineering; Engineering; Geography","score_opus":0.2522002079865626,"score_gpt":0.48113348214899415,"score_spread":0.22893327416243153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237257802","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69185174,0.0002204116,0.29795158,0.005563679,0.00049135165,0.0033101137,0.00037027104,0.00006724438,0.00017363035],"genre_scores_gemma":[0.8492514,0.0005864959,0.1480802,0.000075127005,0.0006424314,0.00039029046,0.0000803053,0.00009800645,0.0007957599],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99173325,0.0010457644,0.0019821702,0.0006925826,0.0029372105,0.0016090246],"domain_scores_gemma":[0.9862863,0.004850233,0.0006011106,0.000593509,0.0070274854,0.00064136944],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.01671637,0.00037239847,0.000765041,0.000945085,0.002075896,0.00029569463,0.0017698299,0.0003631808,0.00029360916],"category_scores_gemma":[0.000756125,0.00028771028,0.0010120905,0.0019708343,0.0011415413,0.0027118756,0.000004823481,0.0017545478,0.0000049654886],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006806589,0.0007428005,0.88240355,0.0006301662,0.00044923677,0.00001821034,0.012949769,0.0025448785,0.0021107756,0.026842251,0.0049403054,0.059561435],"study_design_scores_gemma":[0.004337679,0.0006921184,0.7501568,0.00066729885,0.0003179177,1.6173043e-7,0.0053120926,0.003955037,0.0027345151,0.06989671,0.16126235,0.0006673281],"about_ca_topic_score_codex":0.037881654,"about_ca_topic_score_gemma":0.53250813,"teacher_disagreement_score":0.49462646,"about_ca_system_score_codex":0.0005125647,"about_ca_system_score_gemma":0.0018556083,"threshold_uncertainty_score":0.9999575},"labels":[],"label_agreement":null},{"id":"W4237296222","doi":"10.1002/9781118430873.est0530","title":"Smart Growth","year":2017,"lang":"en","type":"other","venue":"The Wiley-Blackwell Encyclopedia of Social Theory","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Smart growth; Urban sprawl; Growth management; Business; Transit-oriented development; Land use; Range (aeronautics); Smart city; Space (punctuation); Urban planning; Environmental planning; Economic growth; Geography; Economic geography; Engineering; Economics; Computer security; Computer science; Civil engineering; Internet of Things","score_opus":0.013028574205816603,"score_gpt":0.2808946502504801,"score_spread":0.2678660760446635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237296222","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0003738736,0.0046375273,0.00004378858,0.0003859275,0.0015913093,0.0006807288,0.00018454227,0.0002510355,0.9918513],"genre_scores_gemma":[0.019752312,0.013214344,0.000034385146,0.00013362986,0.003891363,0.000037005746,0.000051316954,0.0003098676,0.9625758],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99705154,0.00072287844,0.0003866447,0.0004707494,0.0007615397,0.00060664484],"domain_scores_gemma":[0.99779624,0.00029357284,0.00093687826,0.0007517561,0.00011251055,0.00010907109],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0022775447,0.0004042326,0.00069376465,0.00012403913,0.0011678837,0.000071528484,0.0022244381,0.0007012561,0.0086271325],"category_scores_gemma":[0.00031658262,0.00031214335,0.00042987813,0.00019292616,0.004022611,0.00015104191,0.0001276268,0.0005145058,0.00031713658],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000072424315,0.00011979958,0.0023046162,0.0001641413,0.0001695928,0.000007681764,0.01134058,2.5304805e-8,0.0000020359057,0.111356206,0.86365604,0.010806883],"study_design_scores_gemma":[0.000220884,0.000013060894,0.0011426373,0.00019691969,0.000177014,7.373777e-8,0.0007621556,6.9011186e-8,0.000006640783,0.06721475,0.92990786,0.00035791754],"about_ca_topic_score_codex":0.005759764,"about_ca_topic_score_gemma":0.0034266938,"teacher_disagreement_score":0.06625186,"about_ca_system_score_codex":0.00006980811,"about_ca_system_score_gemma":0.00050040445,"threshold_uncertainty_score":0.99993306},"labels":[],"label_agreement":null},{"id":"W4237625125","doi":"10.32920/ryerson.14660799.v1","title":"The role of transportation in older adult social activity participation: a qualitative study in Mississauga, Ontario","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University; McGill University","funders":"","keywords":"Psychological intervention; Context (archaeology); Public transport; Qualitative research; Public involvement; Geography; Psychology; Business; Gerontology; Political science; Medicine; Transport engineering; Sociology; Public relations; Nursing; Engineering","score_opus":0.05069121283237951,"score_gpt":0.39580747260456217,"score_spread":0.34511625977218263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237625125","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99475753,0.000051768988,0.000022443628,0.0005391351,0.00011930927,0.0009503208,0.000014210219,0.00001600422,0.0035292713],"genre_scores_gemma":[0.9992758,0.000006055194,0.00003055277,0.000009874745,0.000039568884,0.00019910678,0.000034994682,0.0000063503176,0.00039766484],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9972204,0.0009583696,0.00061044033,0.00040865585,0.0005443364,0.0002578186],"domain_scores_gemma":[0.9990198,0.00023559373,0.00027774097,0.00018239967,0.00023897117,0.000045484925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001711814,0.00015440899,0.0003856547,0.000056904773,0.00022531507,0.00007709712,0.0002735027,0.00022323726,0.00031806694],"category_scores_gemma":[0.000061657935,0.0001290034,0.00013492051,0.00032976718,0.00020468749,0.00021203404,0.000019186153,0.00053683936,4.9397846e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051902618,0.00069548376,0.47671446,0.0000129477385,0.000017272594,0.000001968658,0.5210526,0.0000074833397,0.000004106979,0.00026930784,0.000002216173,0.0011702414],"study_design_scores_gemma":[0.00032880457,0.000011124961,0.65560126,0.000025076088,0.000021335341,8.958354e-10,0.34205857,0.000006962715,0.00007064849,0.0017594319,0.000023495555,0.00009329719],"about_ca_topic_score_codex":0.74028146,"about_ca_topic_score_gemma":0.99795556,"teacher_disagreement_score":0.2576741,"about_ca_system_score_codex":0.0003345966,"about_ca_system_score_gemma":0.0012458707,"threshold_uncertainty_score":0.5260606},"labels":[],"label_agreement":null},{"id":"W4237780189","doi":"10.32920/ryerson.14663544.v1","title":"No free rides: winners and losers of the TTC U-pass","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University; University of British Columbia","funders":"","keywords":"Context (archaeology); Transit (satellite); Welfare; Business; Finance; Public transport; Geography; Economics; Transport engineering; Engineering","score_opus":0.020181066881999974,"score_gpt":0.2838317457119232,"score_spread":0.2636506788299232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237780189","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8499939,0.00028564114,0.00003919905,0.0014562533,0.00083677826,0.00024776833,0.000024429388,0.000033060503,0.147083],"genre_scores_gemma":[0.9920064,0.00011395584,0.0004290147,0.00014827409,0.00014466574,0.000006116673,0.000006462806,0.0000065067434,0.007138561],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99876195,0.0001081236,0.00024008045,0.00033605483,0.00037538479,0.0001784307],"domain_scores_gemma":[0.99897045,0.00007356677,0.000137762,0.0005959706,0.0001517625,0.00007048838],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049034535,0.00012256812,0.00024046173,0.000019940444,0.00017503602,0.0000928327,0.00077743357,0.00022251061,0.00086582155],"category_scores_gemma":[0.00019095215,0.000082803344,0.0001662566,0.00014023599,0.0006738639,0.00009896644,0.00039173418,0.0002978878,0.0000019501372],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011277832,0.00008200838,0.98262197,0.0002819589,0.000090575086,0.0000035676712,0.009472466,0.000013049546,0.00013346039,0.0025059446,0.003846602,0.0009371474],"study_design_scores_gemma":[0.00039577065,0.000013853451,0.949923,0.00033345076,0.0001659029,9.797487e-8,0.013342253,0.000032717468,0.0011040635,0.01775627,0.016420707,0.0005119362],"about_ca_topic_score_codex":0.025834687,"about_ca_topic_score_gemma":0.039950453,"teacher_disagreement_score":0.14201257,"about_ca_system_score_codex":0.00004052336,"about_ca_system_score_gemma":0.00046696677,"threshold_uncertainty_score":0.9806524},"labels":[],"label_agreement":null},{"id":"W4237783641","doi":"10.32920/ryerson.14661639","title":"The place for immigrants in Toronto's transit and transportation city","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Trent University; Toronto Metropolitan University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Public transport; Immigration; Demographics; Limiting; Transit (satellite); Work (physics); Public policy; Economic Justice; Sociology; Geography; Regional science; Business; Public relations; Political science; Transport engineering; Economic growth; Engineering; Economics","score_opus":0.025333899949715282,"score_gpt":0.32256784023101476,"score_spread":0.29723394028129946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237783641","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9876982,0.0024015994,0.0017234151,0.0016415187,0.00037791018,0.00095118466,0.00006466817,0.000040758918,0.005100763],"genre_scores_gemma":[0.99732494,0.0009536179,0.00033196903,0.000058943635,0.00008553135,0.0001006128,0.00008276827,0.000007572661,0.0010540186],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987428,0.00007932263,0.00030731078,0.00039311743,0.00022082803,0.0002566011],"domain_scores_gemma":[0.9993955,0.00020721563,0.00007087154,0.00017709423,0.000081211416,0.000068140136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093919673,0.00013525887,0.00022650923,0.00001140548,0.00036179755,0.00017805486,0.00023611505,0.00025025802,0.00020419098],"category_scores_gemma":[0.000030113284,0.0001044051,0.00012359435,0.000059642585,0.00016732927,0.00021268544,0.0000066803764,0.00018992346,1.1902993e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003739312,0.00025051605,0.8132958,0.00047443275,0.00009884437,0.000010927145,0.13560864,0.000050135848,0.000053420135,0.006630817,0.0003415815,0.042810995],"study_design_scores_gemma":[0.00039957266,0.000009839467,0.970172,0.00006224205,0.000041589785,1.8518485e-8,0.023422033,0.000066478235,0.00007335763,0.0022508465,0.003285912,0.00021611314],"about_ca_topic_score_codex":0.28155804,"about_ca_topic_score_gemma":0.9835459,"teacher_disagreement_score":0.70198786,"about_ca_system_score_codex":0.00014076493,"about_ca_system_score_gemma":0.00028107534,"threshold_uncertainty_score":0.72322613},"labels":[],"label_agreement":null},{"id":"W4237789659","doi":"10.32920/ryerson.14657586.v1","title":"Liveable Cities and Urban Transit: Liveability in a Global Context and its Connections to the Greater Toronto and Hamilton Area (GTHA)","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Transit (satellite); Context (archaeology); Regional science; Geography; Transit system; Transport engineering; Business; Public transport; Engineering; Archaeology","score_opus":0.03515667920177029,"score_gpt":0.2883472861788184,"score_spread":0.2531906069770481,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237789659","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9776475,0.00801196,0.00010023056,0.0022917306,0.00023460148,0.0009749639,0.00013665385,0.000056702356,0.010545644],"genre_scores_gemma":[0.99741864,0.0007795444,0.0000519772,0.0003368302,0.0000922887,0.00008262863,0.000011083714,0.0000071879326,0.0012198412],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981,0.00024242928,0.00031739238,0.0007686451,0.00023521359,0.00033633213],"domain_scores_gemma":[0.99918175,0.00013559019,0.000054834483,0.00027363628,0.00014102456,0.00021316412],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070818124,0.00025478876,0.0004314653,0.00002237717,0.00045918088,0.00043274675,0.0002018873,0.0002803594,0.0004537488],"category_scores_gemma":[0.000077367295,0.00019470077,0.000071383154,0.00012183942,0.00040909066,0.0003378485,0.00014518162,0.00024359839,7.7261495e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059070404,0.000069644084,0.88495594,0.0001438876,0.000045622204,0.000009992426,0.11152727,0.0000048087227,0.000009872028,0.0014657236,0.00016856194,0.0015396066],"study_design_scores_gemma":[0.00033498844,0.00004753165,0.93674517,0.00014461903,0.00006853732,0.0000017795998,0.05875246,0.00010028328,0.000036911133,0.0010517673,0.00236795,0.0003480286],"about_ca_topic_score_codex":0.13656019,"about_ca_topic_score_gemma":0.82590944,"teacher_disagreement_score":0.68934923,"about_ca_system_score_codex":0.00022615865,"about_ca_system_score_gemma":0.00019433306,"threshold_uncertainty_score":0.86918956},"labels":[],"label_agreement":null},{"id":"W4237842060","doi":"10.32920/ryerson.14653890","title":"Barriers To Mid-Rise Development in Suburban Communities in the Greater Toronto Area","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Transit-oriented development; Smart growth; Geography; Scale (ratio); Business; Economic growth; Pedestrian; Urban planning; Affordable housing; Environmental planning; Economics; Engineering; Civil engineering","score_opus":0.05191963436442173,"score_gpt":0.3032944175674016,"score_spread":0.2513747832029799,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237842060","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95008177,0.0004489274,0.00003107733,0.0012219494,0.00027203903,0.0006000437,0.0000065879617,0.000037102207,0.04730053],"genre_scores_gemma":[0.99703115,0.000055069297,0.0004122473,0.00077810424,0.000048154736,0.00019256862,0.000049263563,0.000009538885,0.0014238827],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977956,0.00054477004,0.00044993995,0.0003282278,0.0004564003,0.00042509622],"domain_scores_gemma":[0.99901253,0.00010194675,0.000054174565,0.00057660905,0.0000752392,0.00017948798],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0019456625,0.00021867717,0.00032558735,0.0000673447,0.0002969095,0.0003104713,0.0012040394,0.00023710776,0.0047098133],"category_scores_gemma":[0.000068876216,0.00016261486,0.00008458683,0.00019149769,0.00017676753,0.00020336112,0.00027358643,0.00044569062,0.000004876811],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009718623,0.000030437304,0.65311486,0.000023578034,0.0000078605935,0.000014723294,0.34590352,0.000013317545,9.251653e-7,0.00006542149,0.0002388653,0.0005767632],"study_design_scores_gemma":[0.0001524494,0.0000056042604,0.6637102,0.00017568514,0.000008120334,6.432944e-8,0.314252,0.0000038133571,0.000077680954,0.0002390959,0.021046344,0.00032900338],"about_ca_topic_score_codex":0.3866913,"about_ca_topic_score_gemma":0.9703204,"teacher_disagreement_score":0.5836291,"about_ca_system_score_codex":0.000687589,"about_ca_system_score_gemma":0.0010715192,"threshold_uncertainty_score":0.9962},"labels":[],"label_agreement":null},{"id":"W4237912950","doi":"10.32920/ryerson.14667975","title":"Spatial Relationships Between Socio-Economic Status And Sources of Hazardous Air Pollution in the City of Toronto, Canada","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Census; Geography; Pollution; Air pollution; Population; Cluster (spacecraft); Socioeconomic status; Pollutant; Socioeconomics; Environmental science; Environmental protection; Environmental health; Ecology","score_opus":0.034347015086685515,"score_gpt":0.27758169318852693,"score_spread":0.2432346781018414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237912950","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9923418,0.00077304203,0.00008370961,0.001129043,0.00016017795,0.00026113912,0.00017243784,0.000007987033,0.0050706607],"genre_scores_gemma":[0.9995508,0.000099386074,0.00006455921,0.000024267641,0.00011818789,0.0000055793184,0.00005561635,0.0000037075959,0.000077903074],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99851614,0.0003649963,0.00043437278,0.0002403355,0.00026199783,0.00018214979],"domain_scores_gemma":[0.9992017,0.00021252206,0.00027205906,0.00020645517,0.000051454164,0.000055765136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010504511,0.00010393398,0.000309833,0.000016741687,0.00017703044,0.00002657186,0.0002442353,0.00020828017,0.00027585615],"category_scores_gemma":[0.00007266578,0.000086744956,0.000068504836,0.000036766134,0.0002907555,0.00012298771,0.00006978147,0.00029141712,6.266533e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000043635782,0.000014198143,0.9851856,0.000038076676,0.000019525587,4.207995e-7,0.013581372,0.00005265349,4.940425e-7,0.00030928844,0.000037929858,0.000756046],"study_design_scores_gemma":[0.0000935397,0.000005144449,0.97977674,0.000021845244,0.000033308825,1.5731878e-8,0.01855632,0.000008997967,0.000026539585,0.0011503448,0.00024085415,0.00008633591],"about_ca_topic_score_codex":0.9985584,"about_ca_topic_score_gemma":0.9997131,"teacher_disagreement_score":0.0072089904,"about_ca_system_score_codex":0.0005146914,"about_ca_system_score_gemma":0.0027386341,"threshold_uncertainty_score":0.48582193},"labels":[],"label_agreement":null},{"id":"W4238386525","doi":"10.32920/ryerson.14657592.v1","title":"Application of integrated land-use and transportation mode to Keele-Finch mobility hub in Toronto","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Zoning; Land use; Census; Transit-oriented development; Transport engineering; Transit (satellite); Finch; Mode (computer interface); Land Values; Geography; Business; Regional science; Operations research; Engineering; Computer science; Civil engineering; Public transport; Sociology","score_opus":0.023891991388842636,"score_gpt":0.32807889649030664,"score_spread":0.304186905101464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4238386525","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9848954,0.00018648495,0.012344889,0.00014554795,0.000080363985,0.0009070839,0.00012989985,0.00005266196,0.0012576653],"genre_scores_gemma":[0.9973404,0.00010730176,0.0017138175,0.000038685146,0.000026915253,0.000117608484,0.0005216861,0.000007947044,0.00012568352],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99840796,0.000106890984,0.0004915046,0.000554606,0.00026440562,0.00017460696],"domain_scores_gemma":[0.99914026,0.00005973459,0.000118483316,0.00033004975,0.00024512113,0.00010637652],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005461327,0.00015264197,0.0003514613,0.000041733285,0.00005482139,0.00007280058,0.00020720837,0.00029607018,0.00022330803],"category_scores_gemma":[0.000053726057,0.00014726062,0.0000719667,0.0002034005,0.00010093939,0.00035757132,0.000021958049,0.00019258671,4.4569006e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043025648,0.0001934313,0.9825192,0.00012582637,0.000009998731,7.8747036e-7,0.010734666,0.00019601845,0.00024349158,0.0006794553,0.000007801578,0.005246279],"study_design_scores_gemma":[0.00013923159,0.000009068403,0.99384457,0.000055281034,0.000021429663,8.762022e-9,0.0036443751,0.0004592438,0.00042246305,0.0009933334,0.00024347432,0.0001675366],"about_ca_topic_score_codex":0.747346,"about_ca_topic_score_gemma":0.9370434,"teacher_disagreement_score":0.18969747,"about_ca_system_score_codex":0.0003247107,"about_ca_system_score_gemma":0.0003031924,"threshold_uncertainty_score":0.6005114},"labels":[],"label_agreement":null},{"id":"W4238566015","doi":"10.1177/0361198106198500110","title":"Modeling Skeletal Components of Workers’ Daily Activity Schedules","year":2006,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Multilevel model; Hazard; Econometrics; Covariate; Parametric statistics; Random effects model; Parametric model; Scheduling (production processes); Computer science; Statistics; Mathematics; Engineering; Operations management","score_opus":0.12169120185277017,"score_gpt":0.4076496804296475,"score_spread":0.28595847857687734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4238566015","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9924175,0.00025444245,0.0032906453,0.0020644816,0.0004433965,0.00081493746,0.000063084924,0.00003098345,0.00062052545],"genre_scores_gemma":[0.9973476,0.00025155142,0.0014478818,0.000008511041,0.000326645,0.000024455509,0.000021829404,0.000037650265,0.0005338954],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9899019,0.0017344092,0.0015227976,0.00042706003,0.0053856405,0.0010281771],"domain_scores_gemma":[0.9939525,0.0007362673,0.00053198985,0.00045692988,0.003975532,0.00034679734],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007190682,0.0002390163,0.000559475,0.00081692345,0.0012435134,0.0001373111,0.0014579836,0.0002671154,0.00031233425],"category_scores_gemma":[0.00014927598,0.00019164657,0.0005989288,0.002409066,0.0016657641,0.0011909833,0.0000071264317,0.0020204864,0.0000094674],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011483717,0.0006629111,0.9764222,0.0002046108,0.00010086647,0.000040059767,0.0028471046,0.0049568783,0.005545316,0.0049720122,0.00048635635,0.0026133033],"study_design_scores_gemma":[0.0011367977,0.00016540528,0.98317677,0.00031783577,0.00005271337,3.866068e-8,0.00304426,0.0005495505,0.0010525599,0.008391063,0.0019261821,0.00018681976],"about_ca_topic_score_codex":0.20571013,"about_ca_topic_score_gemma":0.30684426,"teacher_disagreement_score":0.101134144,"about_ca_system_score_codex":0.0002788013,"about_ca_system_score_gemma":0.0010596111,"threshold_uncertainty_score":0.95642257},"labels":[],"label_agreement":null},{"id":"W4238896753","doi":"10.32920/ryerson.14663544","title":"No free rides: winners and losers of the TTC U-pass","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University; University of British Columbia","funders":"","keywords":"Context (archaeology); Transit (satellite); Welfare; Commission; Business; Finance; Advertising; Geography; Economics; Public transport; Transport engineering; Engineering","score_opus":0.020181066881999974,"score_gpt":0.2838317457119232,"score_spread":0.2636506788299232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4238896753","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8499939,0.00028564114,0.00003919905,0.0014562533,0.00083677826,0.00024776833,0.000024429388,0.000033060503,0.147083],"genre_scores_gemma":[0.9920064,0.00011395584,0.0004290147,0.00014827409,0.00014466574,0.000006116673,0.000006462806,0.0000065067434,0.007138561],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99876195,0.0001081236,0.00024008045,0.00033605483,0.00037538479,0.0001784307],"domain_scores_gemma":[0.99897045,0.00007356677,0.000137762,0.0005959706,0.0001517625,0.00007048838],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049034535,0.00012256812,0.00024046173,0.000019940444,0.00017503602,0.0000928327,0.00077743357,0.00022251061,0.00086582155],"category_scores_gemma":[0.00019095215,0.000082803344,0.0001662566,0.00014023599,0.0006738639,0.00009896644,0.00039173418,0.0002978878,0.0000019501372],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011277832,0.00008200838,0.98262197,0.0002819589,0.000090575086,0.0000035676712,0.009472466,0.000013049546,0.00013346039,0.0025059446,0.003846602,0.0009371474],"study_design_scores_gemma":[0.00039577065,0.000013853451,0.949923,0.00033345076,0.0001659029,9.797487e-8,0.013342253,0.000032717468,0.0011040635,0.01775627,0.016420707,0.0005119362],"about_ca_topic_score_codex":0.025834687,"about_ca_topic_score_gemma":0.039950453,"teacher_disagreement_score":0.14201257,"about_ca_system_score_codex":0.00004052336,"about_ca_system_score_gemma":0.00046696677,"threshold_uncertainty_score":0.9806524},"labels":[],"label_agreement":null},{"id":"W4239205746","doi":"10.32920/ryerson.14645376","title":"Spatial Mismatch in the Toronto Census Metropolitan Area : Examining the Commuting Patterns of Immigrants","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"Strong","keywords":"Metropolitan area; Immigration; Census; Demographic economics; Geography; Spatial mismatch; Unemployment; American Community Survey; Journey to work; Ethnic group; Demography; Kilometer; Logistic regression; Public transport; Sociology; Population; Economic growth; Economics; Political science; Medicine","score_opus":0.06426729999910999,"score_gpt":0.32670330886507076,"score_spread":0.26243600886596075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4239205746","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9635971,0.0007151963,0.00043673776,0.0008474169,0.000448524,0.00043696392,0.00005354922,0.000029004292,0.03343548],"genre_scores_gemma":[0.99918497,0.00011763151,0.00010063133,0.00014271059,0.00018760344,0.000025192297,0.0000610462,0.000010716985,0.00016949777],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997158,0.0008235081,0.00057827774,0.00037383795,0.0006651269,0.00040123504],"domain_scores_gemma":[0.9982324,0.00057516916,0.0002785811,0.00075105997,0.00011364276,0.000049100472],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025355006,0.00020531596,0.00040327606,0.00002346508,0.0003525664,0.00017698963,0.0014125641,0.00022044494,0.00066967047],"category_scores_gemma":[0.00014209744,0.00011991372,0.00018308699,0.00013147418,0.00022712974,0.000110830915,0.0002589534,0.00055900926,4.2794898e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000064108804,0.00009293308,0.9310858,0.00006426094,0.000029502555,0.000008772089,0.06418488,0.0000032238838,0.000011844086,0.00047774782,0.00003116143,0.0040034205],"study_design_scores_gemma":[0.00010807534,0.000008177445,0.71855867,0.0001374391,0.00003652721,1.174618e-7,0.28048703,0.00004823064,0.000058824666,0.0002840006,0.00013595806,0.0001369351],"about_ca_topic_score_codex":0.8862292,"about_ca_topic_score_gemma":0.9149469,"teacher_disagreement_score":0.21630214,"about_ca_system_score_codex":0.000355977,"about_ca_system_score_gemma":0.00021092632,"threshold_uncertainty_score":0.7332422},"labels":[],"label_agreement":null},{"id":"W4239433208","doi":"10.32920/ryerson.14638389.v1","title":"Getting growth on track: aligning transit investment and growth planning in the Greater Golden Horseshoe","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Prosperity; Horseshoe (symbol); Sustainability; Plan (archaeology); Investment (military); Subject matter; Business; Strategic planning; Environmental planning; Geography; Economics; Political science; Economic growth; Marketing; Computer science; Ecology; Archaeology","score_opus":0.04379547214582442,"score_gpt":0.3027620618365545,"score_spread":0.2589665896907301,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4239433208","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93273544,0.0003601542,0.00014063458,0.002888287,0.00019296206,0.00055797974,0.0000073216042,0.00008168656,0.06303552],"genre_scores_gemma":[0.99687475,0.000056462148,0.00042622996,0.0020274862,0.00026826307,0.000057313533,0.000039465376,0.000019155652,0.00023089563],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99721795,0.00045655665,0.00046329008,0.000779901,0.0006004571,0.00048183158],"domain_scores_gemma":[0.99919975,0.00019890002,0.0001308512,0.00028336636,0.000071096685,0.000116063915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017980703,0.0003152832,0.0004136791,0.00012326025,0.0004008189,0.0005542722,0.0005418718,0.0003357326,0.00012583201],"category_scores_gemma":[0.00007402565,0.00022775815,0.00014693936,0.00025079705,0.00024068428,0.00025150325,0.000083245955,0.0008100855,0.0000020394286],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022967892,0.000114811846,0.82363844,0.00023870211,0.000053865406,0.0002139901,0.17059772,0.000039291597,0.000059921196,0.0042574,0.00023499901,0.0005279158],"study_design_scores_gemma":[0.000480935,0.000042904932,0.95365846,0.00071702927,0.00011553875,0.000001449103,0.034253024,0.00006171968,0.0006692088,0.009201977,0.0001407062,0.0006570514],"about_ca_topic_score_codex":0.009122906,"about_ca_topic_score_gemma":0.0037605264,"teacher_disagreement_score":0.1363447,"about_ca_system_score_codex":0.000104098326,"about_ca_system_score_gemma":0.00019602219,"threshold_uncertainty_score":0.99747545},"labels":[],"label_agreement":null},{"id":"W4239716600","doi":"10.32920/ryerson.14653944.v1","title":"Life Cycles: A Retrospective Analysis of Transportation Behaviours and Attitudes","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Sample (material); Context (archaeology); Coding (social sciences); Grounded theory; Focus group; Process (computing); Computer science; Conceptual model; Data science; Psychology; Management science; Knowledge management; Applied psychology; Qualitative research; Sociology; Engineering; Social science; Database; Geography","score_opus":0.029875449786756516,"score_gpt":0.33584940364164173,"score_spread":0.30597395385488524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4239716600","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961966,0.0003983026,0.0005934808,0.00019752246,0.00010734938,0.00019859825,0.00021866731,0.00004960655,0.0020398588],"genre_scores_gemma":[0.99865496,0.00017880806,0.000504973,0.000035001493,0.00003860787,0.000011346288,0.00041248626,0.000006350217,0.00015747776],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985054,0.00007539184,0.00036972432,0.00048348133,0.00041577098,0.00015023659],"domain_scores_gemma":[0.9990881,0.00003891916,0.00021803996,0.00024006813,0.00025025566,0.00016458833],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004051816,0.0001364184,0.0005643983,0.00017951794,0.00012383913,0.0000859217,0.00018207158,0.000257984,0.0008117136],"category_scores_gemma":[0.000060809005,0.00013476478,0.0003225986,0.0006448378,0.00034164003,0.00014510434,0.000018204453,0.00022203628,1.5507048e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005179008,0.00010347915,0.98482484,0.00004079042,0.00061949017,0.000002879284,0.013442002,0.000042017575,0.000008822884,0.00076450664,0.000012605019,0.00013341474],"study_design_scores_gemma":[0.00006381883,0.0000063007533,0.99387443,0.000033190077,0.002227836,2.7882514e-9,0.003349243,0.00001830485,0.00003907395,0.00024233568,0.000005626228,0.00013981381],"about_ca_topic_score_codex":0.0457559,"about_ca_topic_score_gemma":0.31302354,"teacher_disagreement_score":0.2672676,"about_ca_system_score_codex":0.00006148347,"about_ca_system_score_gemma":0.00042597082,"threshold_uncertainty_score":0.96059847},"labels":[],"label_agreement":null},{"id":"W4239923575","doi":"10.22215/etd/2007-06228","title":"A study on the drinking patterns of male and female employees in Alberta: the impact of work environment and job stress","year":2007,"lang":"en","type":"dissertation","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University; Canadian Heritage","funders":"","keywords":"Job stress; Psychology; Engineering; Social psychology; Job satisfaction","score_opus":0.027731721344656145,"score_gpt":0.33222809500976885,"score_spread":0.30449637366511273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4239923575","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99536186,0.0001066432,0.0000010430581,0.000034081455,0.00002917084,0.00063307374,0.0000071017885,0.0000024667108,0.0038245497],"genre_scores_gemma":[0.9978368,0.0000672366,0.0000022949055,0.000003927695,0.000021268674,0.000014023459,0.000012198802,0.0000069932285,0.0020352432],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989685,0.00010935622,0.00027221188,0.00020270553,0.00029618057,0.00015106463],"domain_scores_gemma":[0.99923694,0.00037614492,0.00016460956,0.00018001269,0.000013258371,0.000029026252],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005829655,0.00012977327,0.00022137708,0.000048428825,0.00013094411,0.000030259302,0.00019587405,0.00008901107,0.00020991256],"category_scores_gemma":[0.000019686875,0.00006587757,0.000061019837,0.00010662838,0.00011699019,0.000053804924,0.000014751037,0.00015635068,4.0843108e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004352218,0.00020397837,0.939632,0.00001581187,0.0000335774,0.0000012766128,0.0595756,0.0000043212235,0.0000041109424,0.0000590732,0.0000027707138,0.00042396918],"study_design_scores_gemma":[0.00011376508,0.00008904451,0.93372214,0.00010126093,0.00002474064,1.5126217e-8,0.06575302,2.499705e-7,0.00006896681,0.00005771606,0.000002872511,0.00006620708],"about_ca_topic_score_codex":0.07415251,"about_ca_topic_score_gemma":0.36764514,"teacher_disagreement_score":0.29349265,"about_ca_system_score_codex":0.000028389057,"about_ca_system_score_gemma":0.000031340704,"threshold_uncertainty_score":0.9320128},"labels":[],"label_agreement":null},{"id":"W4240103596","doi":"10.32920/ryerson.14648595","title":"Emerging urbanism and cycling development : a new cycling agenda for the city of Toronto","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University; Algonquin College","funders":"","keywords":"Cycling; Recreation; Enabling; Urbanism; Urban planning; Environmental planning; Business; Transport engineering; Political science; Geography; Engineering; Civil engineering; Psychology; Architecture","score_opus":0.07215657372603532,"score_gpt":0.3560819472243157,"score_spread":0.2839253734982804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4240103596","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9072971,0.010765438,0.06881432,0.0009451844,0.001230292,0.0009983834,0.000008158586,0.00008462693,0.009856501],"genre_scores_gemma":[0.97680837,0.00050572376,0.01962655,0.00008956845,0.00032548775,0.000032784348,0.000015926613,0.000012308248,0.0025832537],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983699,0.000049014237,0.0004992392,0.0004630013,0.0003258602,0.00029300322],"domain_scores_gemma":[0.998966,0.00031109783,0.00022467642,0.00027143196,0.0001225866,0.00010425292],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012118937,0.00017826834,0.0003382784,0.000013451498,0.0005844926,0.00016071805,0.0004040876,0.00019604179,0.00061678246],"category_scores_gemma":[0.0001484957,0.00013708683,0.00016493263,0.00004940963,0.000118795775,0.00016469134,0.00023721613,0.00019376149,1.8913248e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006176184,0.00018777265,0.39945555,0.0009201,0.0006393326,0.000005128322,0.3255478,0.00009998838,0.00057336263,0.0028567263,0.000723399,0.26892906],"study_design_scores_gemma":[0.0013960954,0.000033476128,0.7636517,0.0012381999,0.00069666316,3.7407133e-7,0.09052211,0.00090871274,0.009335641,0.011415193,0.118876174,0.001925644],"about_ca_topic_score_codex":0.08700287,"about_ca_topic_score_gemma":0.24120429,"teacher_disagreement_score":0.36419615,"about_ca_system_score_codex":0.00013828174,"about_ca_system_score_gemma":0.0010853577,"threshold_uncertainty_score":0.91907686},"labels":[],"label_agreement":null},{"id":"W4240534825","doi":"10.32920/14648502.v1","title":"Does Subway Station Proximity Spur Residential Development? Analyzing the Impact of the Sheppard Subway Line on Housing Development in the City of Toronto","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Kilometer; Pace; Geography; Transport engineering; Scale (ratio); Residential area; Engineering; Civil engineering; Cartography; Geodesy","score_opus":0.0413912103250557,"score_gpt":0.3399982897031151,"score_spread":0.29860707937805936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4240534825","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995185,0.00016165095,0.0006851062,0.00043131306,0.00036951216,0.0010842781,0.000015074206,0.000022347822,0.0020456878],"genre_scores_gemma":[0.99864143,0.000071280054,0.00087728834,0.00002584839,0.000117974654,0.000035554014,0.000040727078,0.00001147191,0.00017843535],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9962216,0.0008352907,0.0010066668,0.00049693417,0.0010689531,0.0003705799],"domain_scores_gemma":[0.99798083,0.0002794825,0.0006862824,0.00066083315,0.00034238124,0.000050214017],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00444368,0.0002826038,0.000455227,0.00004764967,0.0005967151,0.00021769348,0.001279657,0.00022745301,0.00043233475],"category_scores_gemma":[0.0002826244,0.000111975765,0.00030328913,0.00035913623,0.0003205916,0.00031890892,0.0002847988,0.00051410985,3.860496e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000078740806,0.0002687708,0.9213272,0.00010502655,0.00012021157,0.0000015682077,0.07352037,0.00026790917,0.00015742035,0.00008818483,0.000026068692,0.004038572],"study_design_scores_gemma":[0.00015070183,0.000011169111,0.9829708,0.00023539293,0.00003700394,3.2637676e-8,0.0057409955,0.0000225588,0.010166668,0.00040882398,0.000073597876,0.00018227809],"about_ca_topic_score_codex":0.15634406,"about_ca_topic_score_gemma":0.7228231,"teacher_disagreement_score":0.566479,"about_ca_system_score_codex":0.00083498284,"about_ca_system_score_gemma":0.0032066137,"threshold_uncertainty_score":0.8492739},"labels":[],"label_agreement":null},{"id":"W4240782225","doi":"10.32920/14640684.v1","title":"Accessibility to health care facilities in Montreal Island: an application of relative accessibility indicators from the perspective of senior and non-senior residents","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"Social Sciences and Humanities Research Council of Canada; Human Resources and Skills Development Canada","keywords":"Health care; Psychological intervention; Census; Business; Geography; Medicine; Environmental health; Population; Nursing; Economic growth; Economics","score_opus":0.01783518417586023,"score_gpt":0.3409993023038422,"score_spread":0.32316411812798196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4240782225","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99051064,0.0010836888,0.00088048243,0.0008944123,0.00012730923,0.0024888522,0.0014908885,0.000035759716,0.002487979],"genre_scores_gemma":[0.9986661,0.000094205934,0.0006060119,0.000062450265,0.00009074976,0.0001293586,0.00024049751,0.00001384818,0.000096787735],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9950016,0.0010956698,0.0012010377,0.0014950507,0.0008218104,0.0003848417],"domain_scores_gemma":[0.99657065,0.00047706874,0.0008601453,0.0012437992,0.00059641514,0.00025190442],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001868504,0.00034828135,0.0010013577,0.00018662315,0.00031092472,0.00013727041,0.0010634259,0.0004472917,0.00013541756],"category_scores_gemma":[0.00039527455,0.0002704866,0.00018836782,0.0007051935,0.000875313,0.000675983,0.00052997394,0.0006912117,6.597607e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011886664,0.0001587716,0.6857966,0.00016504776,0.000035222027,5.566833e-7,0.31068522,0.0000085157135,0.0000119485585,0.000098211174,0.000011625145,0.0029094112],"study_design_scores_gemma":[0.00026733842,0.000038842667,0.75126445,0.00010446835,0.000029720633,1.2985986e-8,0.24085827,0.000017550368,0.00023411639,0.007003357,0.000004871977,0.0001769851],"about_ca_topic_score_codex":0.82194823,"about_ca_topic_score_gemma":0.9099871,"teacher_disagreement_score":0.08803884,"about_ca_system_score_codex":0.00076255214,"about_ca_system_score_gemma":0.0016333287,"threshold_uncertainty_score":0.9999747},"labels":[],"label_agreement":null},{"id":"W4240850272","doi":"10.32920/ryerson.14661837.v1","title":"Enabling engagement: an exploration of accessibility planning from Berlin to Toronto","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"","keywords":"Legislation; Disabled people; Work (physics); Public relations; Perception; Political science; Urban planning; Landmark; Sociology; Psychology; Engineering; Computer science; Applied psychology; Civil engineering","score_opus":0.17113035365870177,"score_gpt":0.41021544382183583,"score_spread":0.23908509016313406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4240850272","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9540481,0.00065287517,0.026017725,0.00018222565,0.0008134937,0.00062578503,0.000050577502,0.00014604395,0.017463168],"genre_scores_gemma":[0.99183214,0.000051062652,0.006713927,0.000103670944,0.00054829055,0.000054310643,0.0004586236,0.000015429543,0.00022252154],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969483,0.0005127809,0.00068206916,0.00092280196,0.00063339877,0.0003006316],"domain_scores_gemma":[0.99827296,0.00013792151,0.00027098606,0.0007728199,0.00031179897,0.00023350869],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0019297912,0.00022307337,0.00045693226,0.0000447293,0.00032958004,0.0003807231,0.0007861495,0.0003303419,0.0031400293],"category_scores_gemma":[0.00023283795,0.0002272476,0.0001502027,0.0001618471,0.00008553943,0.0028773637,0.00026462885,0.00034815652,0.0000026666319],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013105677,0.0008014759,0.53221905,0.00027793334,0.0001504128,0.000013885983,0.436197,0.0015588745,0.0024712496,0.000989465,0.0001133341,0.025076242],"study_design_scores_gemma":[0.000704589,0.00011778114,0.517361,0.0010303741,0.0002997973,1.3088307e-8,0.42374364,0.0003678386,0.023547515,0.027655197,0.0034209308,0.0017513297],"about_ca_topic_score_codex":0.16729996,"about_ca_topic_score_gemma":0.23404203,"teacher_disagreement_score":0.06674209,"about_ca_system_score_codex":0.0002993537,"about_ca_system_score_gemma":0.00052901736,"threshold_uncertainty_score":0.99777126},"labels":[],"label_agreement":null},{"id":"W4241397311","doi":"10.32920/ryerson.14639139","title":"Suburbs on track : building transit-friendly neighbourhoods in the Toronto region","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Downtown; Transit (satellite); Transport engineering; Transit-oriented development; Business; Track (disk drive); Rail transit; Light rail; Environmental planning; Public transport; Geography; Engineering","score_opus":0.03730804544473223,"score_gpt":0.33054920512414915,"score_spread":0.29324115967941694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4241397311","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7798099,0.0005985111,0.0012310462,0.004297844,0.0007300149,0.00057758886,0.000004632223,0.000098818724,0.21265167],"genre_scores_gemma":[0.99765956,0.0002210866,0.00031958596,0.0005093116,0.00047553956,0.00004595914,0.000024908035,0.000016350226,0.00072768837],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970947,0.0005523803,0.00044325585,0.00074259395,0.000690871,0.00047623322],"domain_scores_gemma":[0.99880105,0.00020112912,0.000118949974,0.0007019041,0.000075297634,0.00010167494],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014845628,0.0002721378,0.0003882909,0.000040651168,0.00035586022,0.00039403772,0.0011013079,0.0004640035,0.0016872305],"category_scores_gemma":[0.00006971631,0.00020058996,0.00031327372,0.00023200005,0.00018861712,0.0003529461,0.000049180315,0.00075928925,0.0000030678343],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003086822,0.0024440174,0.41146266,0.00052074564,0.0001675796,0.0007506389,0.3901643,0.00044015213,0.00018895717,0.10577133,0.004089219,0.08369173],"study_design_scores_gemma":[0.00087148475,0.00016783549,0.86423284,0.0005343932,0.00015233892,0.0000015319811,0.09961641,0.00009681661,0.00038943946,0.013990045,0.018547952,0.0013988962],"about_ca_topic_score_codex":0.08462398,"about_ca_topic_score_gemma":0.39844665,"teacher_disagreement_score":0.4527702,"about_ca_system_score_codex":0.0003551758,"about_ca_system_score_gemma":0.00042275156,"threshold_uncertainty_score":0.9992254},"labels":[],"label_agreement":null},{"id":"W4241551594","doi":"10.32920/ryerson.14662152.v1","title":"Flight simulator system for research and teaching application","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Windsor; Environmental science; Air pollution; Geography; Meteorology; Wind direction; Environmental health; Climatology; Wind speed; Medicine; Geology","score_opus":0.10990622260726506,"score_gpt":0.44520207798321837,"score_spread":0.3352958553759533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4241551594","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90897,0.00046136914,0.034498304,0.0010707924,0.00038452502,0.0020487001,0.000021849228,0.00020760387,0.052336846],"genre_scores_gemma":[0.9953301,0.000008972718,0.0014498321,0.000011421135,0.00049461017,0.00021327194,0.000058109235,0.000010344397,0.0024233263],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983811,0.00018767119,0.00022021895,0.0005432898,0.00039520854,0.0002725254],"domain_scores_gemma":[0.99887383,0.0003207522,0.000062071136,0.00032298337,0.00030863966,0.0001117084],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034769864,0.00009266102,0.00020045963,0.000058212994,0.00087278784,0.0003602441,0.00029692295,0.00028263035,0.000023003384],"category_scores_gemma":[0.00011571489,0.00008442179,0.00006455671,0.00006209903,0.00016218335,0.000108219036,0.00014706327,0.00046828706,0.000002373576],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000085540494,0.00044839116,0.31989902,0.006325598,0.00015372531,0.000006889317,0.037937094,0.0001149805,0.00084874226,0.59971523,0.0013837694,0.03308098],"study_design_scores_gemma":[0.0028384912,0.00022583659,0.13299008,0.003116952,0.00043019062,9.0183966e-7,0.24501586,0.035581194,0.0064957934,0.10766696,0.46176687,0.0038708579],"about_ca_topic_score_codex":0.0069458922,"about_ca_topic_score_gemma":0.0046715364,"teacher_disagreement_score":0.4920483,"about_ca_system_score_codex":0.00017637505,"about_ca_system_score_gemma":0.0002959829,"threshold_uncertainty_score":0.9996669},"labels":[],"label_agreement":null},{"id":"W4241809551","doi":"10.32920/ryerson.14655489","title":"Light rail transit as a tool for urban brownfield revitalization","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Brownfield; Urban sprawl; Environmental planning; Business; Investment (military); Sustainability; Transport engineering; Urban planning; Rail transit; Urban regeneration; Public transport; Geography; Civil engineering; Engineering; Political science; Redevelopment","score_opus":0.028176054197963502,"score_gpt":0.31136757359647405,"score_spread":0.28319151939851056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4241809551","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48452216,0.0033993397,0.18171117,0.020846412,0.003792839,0.004922458,0.00008059165,0.0007721115,0.29995292],"genre_scores_gemma":[0.9742624,0.00015253737,0.0012069034,0.00069819676,0.00075446523,0.00014668416,0.00024280271,0.000020603144,0.02251539],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99821347,0.00009690199,0.0004068652,0.00060986145,0.00036810388,0.00030480523],"domain_scores_gemma":[0.9990269,0.00008321577,0.00012313298,0.00039097073,0.00027416614,0.00010163253],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006049779,0.00020006283,0.0003610909,0.00004733355,0.0003205163,0.00037210408,0.00040696425,0.00052454474,0.002878881],"category_scores_gemma":[0.00019592239,0.0001915802,0.00038965695,0.0001846633,0.00006221977,0.0002562869,0.000045130073,0.00024088669,0.000010201128],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004712077,0.0018435918,0.31967357,0.0069593894,0.00092131697,0.00009253117,0.2260324,0.00013347542,0.0020449653,0.22532883,0.18130866,0.035190053],"study_design_scores_gemma":[0.0016439783,0.00014239113,0.018843979,0.0012124896,0.00083764736,6.722819e-7,0.009220965,0.0001722217,0.009090262,0.06363201,0.89246804,0.002735356],"about_ca_topic_score_codex":0.0025308374,"about_ca_topic_score_gemma":0.008161803,"teacher_disagreement_score":0.71115935,"about_ca_system_score_codex":0.00007291995,"about_ca_system_score_gemma":0.00066262204,"threshold_uncertainty_score":0.9980326},"labels":[],"label_agreement":null},{"id":"W4242031014","doi":"10.32920/ryerson.14666292","title":"Defining Accessibility: A Snapshot of Accessibility Planning and a Review of Practice in Ontario","year":2021,"lang":"en","type":"review","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"","keywords":"Snapshot (computer storage); Point (geometry); Field (mathematics); Political science; Environmental planning; Business; Public relations; Geography; Computer science","score_opus":0.10054320480348769,"score_gpt":0.4374039421906542,"score_spread":0.3368607373871665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4242031014","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006270512,0.9494057,0.000008097166,0.000049920218,0.00012412533,0.0011431337,0.000022073378,0.000018483861,0.048601378],"genre_scores_gemma":[0.0010515288,0.99715656,0.0012517412,0.00010682082,0.000025423096,0.000058027905,0.00014185108,0.000018661602,0.00018940205],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9939849,0.0013550266,0.002508951,0.0009877188,0.0007328857,0.00043056035],"domain_scores_gemma":[0.9945979,0.002264973,0.0018155053,0.0007663452,0.00039566885,0.0001596211],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0069050067,0.00041528267,0.0037053558,0.00019016358,0.000121738696,0.00007464713,0.00076284114,0.00044722596,0.0021229978],"category_scores_gemma":[0.004089471,0.00034219812,0.00053534424,0.0013347865,0.00049871526,0.0009959979,0.00022822068,0.0008829863,0.0000010074839],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018069319,0.0005162706,0.15543865,0.22998185,0.00017726362,0.00004808049,0.006676649,6.2949226e-8,6.566242e-8,0.0013399333,0.00013483064,0.60566825],"study_design_scores_gemma":[0.00018642997,0.000029619487,0.010197767,0.26853147,0.001130798,0.0000025620427,0.00097320956,1.6894049e-7,9.62787e-7,0.00021258931,0.7182947,0.00043973376],"about_ca_topic_score_codex":0.13031748,"about_ca_topic_score_gemma":0.24173725,"teacher_disagreement_score":0.71815985,"about_ca_system_score_codex":0.0004114387,"about_ca_system_score_gemma":0.0065008323,"threshold_uncertainty_score":0.999903},"labels":[],"label_agreement":null},{"id":"W4242135534","doi":"10.1002/9781405198073.wbierp0417","title":"Critical Mass","year":2009,"lang":"en","type":"other","venue":"The International Encyclopedia of Revolution and Protest","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Critical mass (sociodynamics); Economic history; History; Dozen; Solidarity; Geography; Art history; Ancient history; Political science; Sociology; Law; Social science","score_opus":0.014274259715786405,"score_gpt":0.3046290476619904,"score_spread":0.290354787946204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4242135534","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00012517758,0.0016142912,0.00034631568,0.0055858917,0.00052046694,0.00030636147,0.000045156165,0.000059067606,0.99139726],"genre_scores_gemma":[0.031390954,0.004804094,0.0013452868,0.00019550424,0.00173645,0.000028527582,0.000028843751,0.000047529174,0.9604228],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99913603,0.000059060276,0.00017036054,0.00015540526,0.00036281045,0.000116351075],"domain_scores_gemma":[0.9995385,0.00009393863,0.00011902305,0.000118411874,0.000079947495,0.000050210558],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00033217305,0.000092469556,0.00012763344,0.00006242828,0.000094305025,0.000024496743,0.00033259965,0.00013363251,0.0023409156],"category_scores_gemma":[0.00033334974,0.000068155125,0.000051361167,0.00007184643,0.00044852725,0.00007109814,0.000015115315,0.00014479441,0.000022504524],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005449604,0.00018593404,0.033629335,0.000145305,0.00008147022,0.0000074630593,0.0013371385,5.4610575e-7,0.000036674697,0.20256172,0.72177535,0.040184584],"study_design_scores_gemma":[0.00007455144,0.000012951443,0.0074705104,0.00010631394,0.000018546201,2.824123e-7,0.000056149984,0.000006209444,0.0000025805252,0.011239675,0.9809265,0.00008570142],"about_ca_topic_score_codex":0.0022063516,"about_ca_topic_score_gemma":0.0016491798,"teacher_disagreement_score":0.2591512,"about_ca_system_score_codex":0.000029722683,"about_ca_system_score_gemma":0.000110940484,"threshold_uncertainty_score":0.9985711},"labels":[],"label_agreement":null},{"id":"W4242220737","doi":"10.5383/jttm.01.02.001","title":"Exploring the Transferability of FEATHERS – An Activity Based Travel Demand Model – For Ho Chi Minh City, Vietnam","year":2020,"lang":"en","type":"article","venue":"International Journal of Traffic and Transportation Management","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Bijzonder Onderzoeksfonds UGent; Universiteit Hasselt; Japan International Cooperation Agency","keywords":"Transferability; Ho chi minh; Metropolitan area; Feather; Geography; Mode (computer interface); Mode choice; Descriptive statistics; Destinations; Business; Transport engineering; Computer science; Statistics; Econometrics; Public transport; Cartography; Engineering; Economics; Ecology; Mathematics; Scale (ratio); Biology; Archaeology","score_opus":0.10965099203117419,"score_gpt":0.32227408376315864,"score_spread":0.21262309173198446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4242220737","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81420815,0.000025164467,0.18145664,0.0037191117,0.000140935,0.0002913131,0.000056204517,0.000009752188,0.00009275344],"genre_scores_gemma":[0.99811757,0.00011034197,0.0014671359,0.0001525857,0.00009828732,0.000015567812,0.000012894342,0.0000073160663,0.00001828757],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9986944,0.000052943076,0.0004169631,0.00017078717,0.0005462254,0.00011867364],"domain_scores_gemma":[0.9993414,0.000060902243,0.00019800017,0.00006379931,0.00022329722,0.000112568225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000712043,0.000103020124,0.00019207213,0.00006413254,0.00013752263,0.000043780998,0.00034812326,0.00002972226,0.000023670298],"category_scores_gemma":[0.000010301025,0.000081138074,0.0001883153,0.00010090014,0.00015135057,0.0006108349,0.0000017673847,0.00010160194,9.535603e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006848298,0.002581103,0.1010159,0.0007961192,0.001677502,0.000050679915,0.16773377,0.44467258,0.00081415044,0.01671709,0.0001236759,0.25696912],"study_design_scores_gemma":[0.0037593541,0.00032372435,0.84781617,0.0000936048,0.0004989055,3.267437e-7,0.0072547044,0.13797367,0.0006326491,0.0007486925,0.0006175206,0.00028069026],"about_ca_topic_score_codex":0.000025187666,"about_ca_topic_score_gemma":0.00054490386,"teacher_disagreement_score":0.74680024,"about_ca_system_score_codex":0.000029178389,"about_ca_system_score_gemma":0.000069883936,"threshold_uncertainty_score":0.33087146},"labels":[],"label_agreement":null},{"id":"W4242240505","doi":"10.31235/osf.io/cghx2","title":"Distributional effects of transport policies on inequalities in access to opportunities in Rio de Janeiro","year":2017,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Ministério da Educação","keywords":"Disinvestment; Public transport; Inequality; Business; Investment (military); Public investment; Geography; Economic growth; Demographic economics; Public economics; Economics; Political science; Public fund; Politics; Incentive","score_opus":0.1436058217624605,"score_gpt":0.39467031940458486,"score_spread":0.25106449764212435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4242240505","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9602251,0.00006766611,0.00010526173,0.002185823,0.00031834416,0.00070667954,0.0003098711,0.00004129448,0.036039937],"genre_scores_gemma":[0.9974197,0.000110616784,0.000035522968,0.00021635531,0.0001390085,0.00011207949,0.00016368511,0.000011126279,0.0017918854],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977661,0.0001996228,0.00058775395,0.000397354,0.0005588869,0.0004902798],"domain_scores_gemma":[0.9987843,0.0002813734,0.00022405635,0.00044533963,0.00009447182,0.0001704687],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001247485,0.0002542827,0.0006081198,0.00032517212,0.0001611985,0.00012984168,0.0012454386,0.00035845433,0.00015755504],"category_scores_gemma":[0.00025593,0.00024550187,0.00015347777,0.00013574379,0.00048778584,0.00030501132,0.00013495097,0.00044897484,0.0000017028825],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000089833964,0.00022857195,0.9682012,0.0004937483,0.000013817143,0.000029661867,0.01249537,0.000113668284,0.0000058599176,0.017605225,0.00017211185,0.00055092707],"study_design_scores_gemma":[0.00026960624,0.000032035598,0.9829061,0.0006252434,0.0000134835345,3.0030662e-8,0.0013179701,0.0000023669468,0.0004853703,0.0131855495,0.0008949263,0.00026728504],"about_ca_topic_score_codex":0.14632523,"about_ca_topic_score_gemma":0.14392102,"teacher_disagreement_score":0.037194595,"about_ca_system_score_codex":0.00035096952,"about_ca_system_score_gemma":0.0012839473,"threshold_uncertainty_score":0.9999997},"labels":[],"label_agreement":null},{"id":"W4242857523","doi":"10.32920/ryerson.14668410","title":"Secure bicycle parking: downtown Toronto office buildings","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Downtown; Zoning; Transport engineering; Traffic congestion; Business; Cycling; Environmental planning; Engineering; Civil engineering; Geography","score_opus":0.0243282817350295,"score_gpt":0.31579291199037823,"score_spread":0.29146463025534874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4242857523","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65654653,0.0020999936,0.00057498924,0.00093453604,0.001419063,0.000348142,0.000017293118,0.00032706006,0.3377324],"genre_scores_gemma":[0.987868,0.00026286943,0.0018687017,0.0003116294,0.0008673468,0.000027966254,0.000084808504,0.000020782034,0.00868787],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99744797,0.00013978482,0.00039700526,0.0008602672,0.0006495156,0.0005054807],"domain_scores_gemma":[0.99867743,0.00007710907,0.00018128451,0.0005925789,0.00022677938,0.00024483286],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00078456145,0.0002774898,0.00041793945,0.000025718924,0.00043104353,0.000551278,0.00086928636,0.00060449645,0.019030467],"category_scores_gemma":[0.000085123276,0.00026362404,0.00031217482,0.00016095818,0.00022140464,0.00043016297,0.00032719894,0.00049861474,0.000020010171],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010837629,0.0013106716,0.77217895,0.0010043235,0.0005468601,0.00016995014,0.13499555,0.00010068742,0.00081166124,0.0207226,0.025838923,0.042211466],"study_design_scores_gemma":[0.00050555426,0.00003083908,0.33817628,0.0004520467,0.00027095134,5.239567e-7,0.031754084,0.00006428763,0.0011127195,0.0049883104,0.62055385,0.0020905538],"about_ca_topic_score_codex":0.23057555,"about_ca_topic_score_gemma":0.3945185,"teacher_disagreement_score":0.59471494,"about_ca_system_score_codex":0.00038976374,"about_ca_system_score_gemma":0.00079378317,"threshold_uncertainty_score":0.9999816},"labels":[],"label_agreement":null},{"id":"W4242860318","doi":"10.32920/ryerson.14645376.v1","title":"Spatial Mismatch in the Toronto Census Metropolitan Area : Examining the Commuting Patterns of Immigrants","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"Strong","keywords":"Metropolitan area; Immigration; Census; Demographic economics; Spatial mismatch; Geography; Unemployment; American Community Survey; Journey to work; Ethnic group; Kilometer; Demography; Negotiation; Logistic regression; Public transport; Sociology; Economic growth; Population; Economics; Political science; Statistics","score_opus":0.06426729999910999,"score_gpt":0.32670330886507076,"score_spread":0.26243600886596075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4242860318","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9635971,0.0007151963,0.00043673776,0.0008474169,0.000448524,0.00043696392,0.00005354922,0.000029004292,0.03343548],"genre_scores_gemma":[0.99918497,0.00011763151,0.00010063133,0.00014271059,0.00018760344,0.000025192297,0.0000610462,0.000010716985,0.00016949777],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997158,0.0008235081,0.00057827774,0.00037383795,0.0006651269,0.00040123504],"domain_scores_gemma":[0.9982324,0.00057516916,0.0002785811,0.00075105997,0.00011364276,0.000049100472],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025355006,0.00020531596,0.00040327606,0.00002346508,0.0003525664,0.00017698963,0.0014125641,0.00022044494,0.00066967047],"category_scores_gemma":[0.00014209744,0.00011991372,0.00018308699,0.00013147418,0.00022712974,0.000110830915,0.0002589534,0.00055900926,4.2794898e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000064108804,0.00009293308,0.9310858,0.00006426094,0.000029502555,0.000008772089,0.06418488,0.0000032238838,0.000011844086,0.00047774782,0.00003116143,0.0040034205],"study_design_scores_gemma":[0.00010807534,0.000008177445,0.71855867,0.0001374391,0.00003652721,1.174618e-7,0.28048703,0.00004823064,0.000058824666,0.0002840006,0.00013595806,0.0001369351],"about_ca_topic_score_codex":0.8862292,"about_ca_topic_score_gemma":0.9149469,"teacher_disagreement_score":0.21630214,"about_ca_system_score_codex":0.000355977,"about_ca_system_score_gemma":0.00021092632,"threshold_uncertainty_score":0.7332422},"labels":[],"label_agreement":null},{"id":"W4242948376","doi":"10.32920/ryerson.14668320","title":"An exploration of travel behaviour change after the implementation of cycle tracks: a case study of Sherbourne Street in Toronto","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Cycling; Destinations; Transport engineering; Sample (material); Business; Geography; Engineering; Tourism","score_opus":0.09396299112151743,"score_gpt":0.4136861659464468,"score_spread":0.3197231748249294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4242948376","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980489,0.00015572818,0.0000947143,0.000043363336,0.00009409643,0.0013595244,0.00007072501,0.000006839887,0.0001261235],"genre_scores_gemma":[0.9995345,0.000034605884,0.000075010656,0.000006284009,0.000055161745,0.0002385744,0.000042844058,0.000007130147,0.000005907589],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9982416,0.0003299964,0.00064669363,0.00027158658,0.0003814081,0.00012873663],"domain_scores_gemma":[0.99907947,0.000024298248,0.00033857662,0.00034152743,0.00017762298,0.000038483286],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008826893,0.000116169045,0.00030690862,0.00003989401,0.000045594777,0.000027166041,0.00022464091,0.00011016209,0.0009159619],"category_scores_gemma":[0.000004821832,0.00009268612,0.00008269242,0.00012673081,0.000080191625,0.000982447,0.00004119762,0.000111852954,3.1129918e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023176666,0.001094145,0.65609175,0.00005005407,0.000015010242,0.00002591918,0.33945057,0.000004627702,0.00003593421,0.000017377191,4.5563414e-7,0.003190986],"study_design_scores_gemma":[0.00021647318,0.00008498205,0.48965067,0.000018370312,0.000045910652,8.0571546e-8,0.5095952,0.0000071675586,0.00028124315,0.000050379782,1.0314578e-7,0.000049420683],"about_ca_topic_score_codex":0.86168844,"about_ca_topic_score_gemma":0.99208546,"teacher_disagreement_score":0.17014463,"about_ca_system_score_codex":0.00011449756,"about_ca_system_score_gemma":0.00015857106,"threshold_uncertainty_score":0.9999973},"labels":[],"label_agreement":null},{"id":"W4242986332","doi":"10.32920/ryerson.14668080.v1","title":"The place for immigrants in Toronto's transit and transportation city","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Trent University; Toronto Metropolitan University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Public transport; Immigration; Limiting; Demographics; Transit (satellite); Work (physics); Public policy; Economic Justice; Sociology; Geography; Regional science; Political science; Transport engineering; Business; Public relations; Economic growth; Engineering; Economics","score_opus":0.025333899949715282,"score_gpt":0.32256784023101476,"score_spread":0.29723394028129946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4242986332","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9876982,0.0024015994,0.0017234151,0.0016415187,0.00037791018,0.00095118466,0.00006466817,0.000040758918,0.005100763],"genre_scores_gemma":[0.99732494,0.0009536179,0.00033196903,0.000058943635,0.00008553135,0.0001006128,0.00008276827,0.000007572661,0.0010540186],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987428,0.00007932263,0.00030731078,0.00039311743,0.00022082803,0.0002566011],"domain_scores_gemma":[0.9993955,0.00020721563,0.00007087154,0.00017709423,0.000081211416,0.000068140136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093919673,0.00013525887,0.00022650923,0.00001140548,0.00036179755,0.00017805486,0.00023611505,0.00025025802,0.00020419098],"category_scores_gemma":[0.000030113284,0.0001044051,0.00012359435,0.000059642585,0.00016732927,0.00021268544,0.0000066803764,0.00018992346,1.1902993e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003739312,0.00025051605,0.8132958,0.00047443275,0.00009884437,0.000010927145,0.13560864,0.000050135848,0.000053420135,0.006630817,0.0003415815,0.042810995],"study_design_scores_gemma":[0.00039957266,0.000009839467,0.970172,0.00006224205,0.000041589785,1.8518485e-8,0.023422033,0.000066478235,0.00007335763,0.0022508465,0.003285912,0.00021611314],"about_ca_topic_score_codex":0.28155804,"about_ca_topic_score_gemma":0.9835459,"teacher_disagreement_score":0.70198786,"about_ca_system_score_codex":0.00014076493,"about_ca_system_score_gemma":0.00028107534,"threshold_uncertainty_score":0.72322613},"labels":[],"label_agreement":null},{"id":"W4243513976","doi":"10.22215/etd/2021-14346","title":"Gender Mobility on Guatemala City's Transmetro: Women's lived experiences of public transportation","year":2021,"lang":"en","type":"dissertation","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Harassment; Public transport; Bus rapid transit; SAFER; Perception; Political science; Gender studies; Public relations; Sociology; Psychology; Social psychology; Transport engineering; Engineering; Computer security","score_opus":0.06060375421098138,"score_gpt":0.3340340775356886,"score_spread":0.2734303233247072,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4243513976","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95115083,0.00029078798,0.00008310599,0.000054989032,0.00085823936,0.00056984584,0.000028779985,0.00011274649,0.046850685],"genre_scores_gemma":[0.98936194,0.00012750052,0.00010243674,0.000048073776,0.000118261676,0.000333587,0.0011560526,0.000024949399,0.0087271705],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99610096,0.00032019604,0.0009048389,0.0008258756,0.0012549576,0.00059317466],"domain_scores_gemma":[0.9982056,0.00016456813,0.00039692043,0.00041079917,0.0005553947,0.0002666934],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012901512,0.00035631814,0.0007029395,0.00021638993,0.000377852,0.0001238304,0.0005529119,0.00056610774,0.014260631],"category_scores_gemma":[0.00012930586,0.0003298954,0.00038778476,0.00088145986,0.00032607597,0.00046317567,0.000001940089,0.00034857693,0.0000060321618],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015270404,0.00078172784,0.044736184,0.00054229645,0.00012891286,0.00000925028,0.9473347,0.0000015403679,0.00032114165,0.0022210018,0.00005167466,0.0037188777],"study_design_scores_gemma":[0.00026925225,0.00008075291,0.2311666,0.000058565613,0.00005310644,1.6166902e-8,0.76294345,0.0000017231657,0.0034586403,0.00085518113,0.0007319002,0.00038081346],"about_ca_topic_score_codex":0.0017415915,"about_ca_topic_score_gemma":0.021746865,"teacher_disagreement_score":0.18643041,"about_ca_system_score_codex":0.00019441162,"about_ca_system_score_gemma":0.0010971662,"threshold_uncertainty_score":0.9999153},"labels":[],"label_agreement":null},{"id":"W4243987078","doi":"10.32920/ryerson.14657691.v1","title":"Developers' perspectives on transit-oriented development in Edmonton, Alberta","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Transit-oriented development; Transit (satellite); Planner; Plan (archaeology); Transport engineering; Business; Urban planning; Investment (military); Light rail transit; Land use; Engineering; Public transport; Computer science; Geography; Political science; Civil engineering","score_opus":0.022621023138633876,"score_gpt":0.2976719338951525,"score_spread":0.2750509107565186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4243987078","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80391484,0.00037433713,0.0006133338,0.0014136806,0.00045641363,0.0005190651,0.0000029055864,0.00007804488,0.19262737],"genre_scores_gemma":[0.98663056,0.000123372,0.0032974295,0.00015776645,0.000113981296,0.000075633296,0.00007743617,0.000019543395,0.009504264],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99712384,0.00020202191,0.00051942666,0.0010334846,0.00061953923,0.00050171156],"domain_scores_gemma":[0.9990048,0.00011652591,0.000093528884,0.00036974077,0.0002448801,0.00017053071],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006848343,0.00032502163,0.0004626183,0.0001678536,0.0002946473,0.00015820772,0.0005144486,0.00043950722,0.0020248338],"category_scores_gemma":[0.00015646167,0.0003085265,0.00015247034,0.00038111783,0.00020698123,0.00017486273,0.0000988504,0.00067686755,0.00002710527],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007358725,0.0008922817,0.14703026,0.00009946557,0.00011253694,0.000070335474,0.8361374,0.00006349447,0.000019317036,0.009163411,0.00016168368,0.0061761793],"study_design_scores_gemma":[0.00081182056,0.000022899954,0.78880477,0.0006111875,0.00003871874,1.9620414e-7,0.14923643,0.000020189274,0.0010075158,0.0003675776,0.057704393,0.0013742847],"about_ca_topic_score_codex":0.045856755,"about_ca_topic_score_gemma":0.52036613,"teacher_disagreement_score":0.68690103,"about_ca_system_score_codex":0.00073109,"about_ca_system_score_gemma":0.0026251054,"threshold_uncertainty_score":0.9999367},"labels":[],"label_agreement":null},{"id":"W4244002707","doi":"10.32920/ryerson.14661090","title":"The relationship between the built environment, parental perceptions of traffic safety and walking environment, and children's school travel behaviour in Toronto","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"University of Toronto","keywords":"Built environment; Neighbourhood (mathematics); Cognitive dissonance; Perception; Psychology; Structural equation modeling; Odds; Human factors and ergonomics; Social psychology; Developmental psychology; Poison control; Applied psychology; Environmental health; Medicine; Engineering; Computer science","score_opus":0.023487880244905866,"score_gpt":0.2897140978752062,"score_spread":0.2662262176303003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4244002707","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952057,0.002048603,0.0001385512,0.00053506094,0.00005300556,0.00071231334,0.0001044146,0.000014714234,0.0011876371],"genre_scores_gemma":[0.99624455,0.0029695649,0.000118599615,0.00001005037,0.000104100756,0.000032788645,0.00012780227,0.000012600286,0.00037997027],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979439,0.0003905806,0.00052990345,0.0004963642,0.00036701365,0.00027223187],"domain_scores_gemma":[0.99881303,0.00045593083,0.00019047946,0.00040700156,0.0000074687596,0.00012606727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011204815,0.00020957776,0.0002871498,0.000023652114,0.00096891396,0.00015820072,0.00037007607,0.0002685728,0.0006898408],"category_scores_gemma":[0.0000630909,0.00014575843,0.000115957075,0.000047861016,0.0008863362,0.00022104986,0.0002254834,0.000586848,0.0000014312486],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000066978228,0.000048932765,0.99138427,0.00000803803,0.00002136595,3.3445264e-7,0.005659571,0.000024455217,0.0000035148946,0.00014929936,0.000004490231,0.0026890398],"study_design_scores_gemma":[0.00019683782,0.000009169086,0.9792603,0.000036021833,0.00010192239,2.3968948e-7,0.019963697,0.000008139722,0.0000018007604,0.0002299451,0.000028180139,0.00016369321],"about_ca_topic_score_codex":0.018257914,"about_ca_topic_score_gemma":0.076156124,"teacher_disagreement_score":0.05789821,"about_ca_system_score_codex":0.0003200309,"about_ca_system_score_gemma":0.000096037285,"threshold_uncertainty_score":0.9882796},"labels":[],"label_agreement":null},{"id":"W4244092091","doi":"10.32920/ryerson.14646282","title":"Children's activity and transportation choices: exploring socio-demographic correlates and health outcomes","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Physical activity; Cluster (spacecraft); Athletes; Psychology; Health benefits; Gerontology; Medicine; Physical therapy; Computer science","score_opus":0.06660352813081992,"score_gpt":0.32903125212729994,"score_spread":0.26242772399648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4244092091","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9936443,0.0019105066,0.00041448764,0.0025543638,0.00043860907,0.00055853033,0.000040589537,0.0001900727,0.00024856036],"genre_scores_gemma":[0.99401104,0.00508878,0.00026978628,0.00013992419,0.00013203711,0.000052573854,0.00011872309,0.000017000017,0.00017012913],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980702,0.00013989159,0.00034083292,0.00073363184,0.0003568604,0.00035861702],"domain_scores_gemma":[0.99913126,0.00010124492,0.00024328874,0.00022259117,0.00006185778,0.00023974919],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007734468,0.0002736748,0.00056081696,0.000100525314,0.000696529,0.0002754619,0.00017041153,0.00029327412,0.000075935495],"category_scores_gemma":[0.000016510325,0.0002551791,0.00016480334,0.0001781221,0.00038072636,0.00063085486,0.000039628674,0.00059261353,4.135845e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000044900066,0.000059348513,0.9809963,0.00014132766,0.00007221288,0.0000015000414,0.011053053,0.0000027009391,0.000001513128,0.00025691136,0.0000073619094,0.0074032485],"study_design_scores_gemma":[0.0002044342,0.000013747418,0.9955823,0.00010136942,0.000057067355,8.251851e-8,0.0026410823,0.0000090610565,0.000007094044,0.001086392,0.000033710006,0.00026365585],"about_ca_topic_score_codex":0.046063114,"about_ca_topic_score_gemma":0.08804968,"teacher_disagreement_score":0.041986562,"about_ca_system_score_codex":0.000058145564,"about_ca_system_score_gemma":0.00030688551,"threshold_uncertainty_score":0.99999005},"labels":[],"label_agreement":null},{"id":"W4244178108","doi":"10.32920/ryerson.14649048","title":"Accessibility at Airports: How Digital Media can put Toronto at the Forefront for Accessible Airport Travel","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University; Toronto Metropolitan University","funders":"","keywords":"Wheelchair; Service (business); Process (computing); Consignment; Business; Transport engineering; Function (biology); Computer science; Process management; Marketing; Engineering; World Wide Web","score_opus":0.04414733957818171,"score_gpt":0.3145019209834848,"score_spread":0.27035458140530305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4244178108","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8978858,0.002640425,0.0015200881,0.0072376793,0.0038458724,0.0036876302,0.002006517,0.00035449746,0.08082146],"genre_scores_gemma":[0.9390612,0.0002632031,0.0004080461,0.000349752,0.0012290034,0.00051513046,0.0029422396,0.00007339905,0.055157974],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99362963,0.00017437607,0.0010768404,0.0022213936,0.0015859926,0.0013117406],"domain_scores_gemma":[0.99511564,0.0006180367,0.00086172373,0.0021022481,0.0006685258,0.0006338412],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0020476948,0.0008067182,0.0011565197,0.000046384157,0.0020025293,0.0022040908,0.002454187,0.0009898373,0.0044679],"category_scores_gemma":[0.0006631972,0.0005675184,0.0011712089,0.00021141913,0.0012205568,0.0018663993,0.0018223544,0.00057461613,0.0000063981274],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022190841,0.00051226036,0.92806005,0.0004910476,0.00033841757,0.000042026913,0.02197728,0.000009671946,0.000042644544,0.00054585387,0.031494226,0.016264597],"study_design_scores_gemma":[0.0010470358,0.0000521116,0.91840816,0.00017801106,0.00043566572,0.000002014253,0.02224069,0.00007449861,0.0017178286,0.009311277,0.04467332,0.0018593782],"about_ca_topic_score_codex":0.03741191,"about_ca_topic_score_gemma":0.84596837,"teacher_disagreement_score":0.80855644,"about_ca_system_score_codex":0.0033431633,"about_ca_system_score_gemma":0.0025338219,"threshold_uncertainty_score":0.9996776},"labels":[],"label_agreement":null},{"id":"W4244228172","doi":"10.32920/14639181.v1","title":"The freedom to explore: examining the influence of independent mobility on weekday, weekend and after-school physical activity behaviour in children living in urban and inner-suburban neighbourhoods of varying socioeconomic status","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University; University of Toronto; Dalhousie University","funders":"Canadian Institutes of Health Research; Heart and Stroke Foundation of Canada","keywords":"Socioeconomic status; Neighbourhood (mathematics); Residence; Physical activity; Demography; Walkability; Psychology; Geography; Medicine; Physical therapy; Sociology; Mathematics; Population","score_opus":0.02098936562375429,"score_gpt":0.28963771975888336,"score_spread":0.26864835413512905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4244228172","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978207,0.0001838474,0.000006217411,0.00011985846,0.00008998813,0.001535016,0.000038322345,0.000019800469,0.00018624909],"genre_scores_gemma":[0.9995341,0.00007270984,0.00003093076,0.000020633363,0.00008459077,0.00021589585,0.0000034287523,0.000019446376,0.000018315404],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9965665,0.00079464354,0.00067227805,0.0009544763,0.00048202017,0.00053012185],"domain_scores_gemma":[0.9976299,0.0009559333,0.00038938015,0.0007393108,0.00008250927,0.00020298944],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0024756812,0.0003487943,0.00071473233,0.00013615271,0.00025657893,0.00023196354,0.00062173256,0.00025067618,0.0000445926],"category_scores_gemma":[0.00035843838,0.00026066456,0.00010584248,0.00025717274,0.0006886353,0.00040957754,0.00087090494,0.0012292145,3.9604194e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008108178,0.0006807239,0.9492237,0.000037517275,0.000036392274,0.000002327892,0.0472551,0.00069741305,0.00008167676,0.000021284244,8.934796e-7,0.0018818994],"study_design_scores_gemma":[0.00030747772,0.00010514735,0.98654586,0.00021634891,0.000039908442,1.107698e-7,0.012125766,0.00010207265,0.00009350035,0.00021095024,5.1996335e-7,0.00025235818],"about_ca_topic_score_codex":0.08006066,"about_ca_topic_score_gemma":0.0623672,"teacher_disagreement_score":0.03732215,"about_ca_system_score_codex":0.00029673977,"about_ca_system_score_gemma":0.0005211342,"threshold_uncertainty_score":0.99998456},"labels":[],"label_agreement":null},{"id":"W4244331769","doi":"10.31979/etd.jnex-ak9p","title":"An evaluation of transportation mode choice","year":2008,"lang":"en","type":"dissertation","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Downtown; Dependency (UML); Mode choice; Transport engineering; Mode (computer interface); Perception; Quality (philosophy); Mile; Population; Quarter (Canadian coin); Marketing; Geography; Business; Engineering; Computer science; Psychology; Public transport; Environmental health; Medicine","score_opus":0.05488487992580369,"score_gpt":0.4031859998691733,"score_spread":0.3483011199433696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4244331769","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91684854,0.00015350504,0.000035736943,0.000012837291,0.000341737,0.00044103747,0.000039953462,0.00005812295,0.082068555],"genre_scores_gemma":[0.9912534,0.00007758836,0.00012021499,0.000008882834,0.0001588363,0.000031216226,0.0049137217,0.000013549539,0.003422611],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99778706,0.00014925077,0.00037581095,0.00028032335,0.0012571203,0.00015043934],"domain_scores_gemma":[0.9986503,0.000031813932,0.00024960865,0.00019774251,0.00079427,0.00007627225],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006717946,0.00012537028,0.00021214168,0.00008911971,0.00021084402,0.000015983102,0.00023312162,0.0003035527,0.0013472919],"category_scores_gemma":[0.000039178038,0.00012644363,0.000106618485,0.00023735336,0.000072486306,0.00046617357,2.1076684e-7,0.00011616948,0.000004709242],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030928335,0.0016335668,0.58177316,0.0005387054,0.00017490126,0.0000029579642,0.28730735,0.0010292558,0.0037195229,0.007307308,0.0015244029,0.11467958],"study_design_scores_gemma":[0.00034818822,0.000030714058,0.9862503,0.000041451734,0.00029754813,7.4065407e-9,0.007153386,0.00043900177,0.0023986083,0.0016670809,0.0011209364,0.00025281004],"about_ca_topic_score_codex":0.02972385,"about_ca_topic_score_gemma":0.4485089,"teacher_disagreement_score":0.41878504,"about_ca_system_score_codex":0.00007284369,"about_ca_system_score_gemma":0.00086087926,"threshold_uncertainty_score":0.9995656},"labels":[],"label_agreement":null},{"id":"W4244380963","doi":"10.1186/s12877-016-0301-7","title":"Erratum to: Understanding the role of contrasting urban contexts in healthy aging: an international cohort study using wearable sensor devices (the CURHA study protocol)","year":2016,"lang":"en","type":"erratum","venue":"BMC Geriatrics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke; Université de Montréal","funders":"","keywords":"Medicine; Wearable computer; Protocol (science); Cohort; Gerontology; Cohort study; Rehabilitation; Wearable technology; Physical medicine and rehabilitation; Physical therapy; Alternative medicine; Engineering; Embedded system; Pathology","score_opus":0.06333652348457872,"score_gpt":0.3713438974341353,"score_spread":0.3080073739495566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4244380963","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74289215,0.00044701126,0.00090043875,0.0004957612,0.014805369,0.22583555,0.00008673658,0.00016541175,0.014371565],"genre_scores_gemma":[0.98889786,0.0000078006215,0.000070977345,0.00005369758,0.0022198833,0.006689164,0.0000083622435,0.00004701212,0.00200525],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99470735,0.0013008048,0.0011151723,0.000801492,0.0014136547,0.00066153076],"domain_scores_gemma":[0.9974125,0.0004969668,0.0009911854,0.00062075246,0.00031122015,0.00016737083],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0056811064,0.00037419272,0.0006876699,0.00027826405,0.0010522959,0.00040005098,0.001454492,0.00025049716,0.00006328799],"category_scores_gemma":[0.00039416619,0.00023863096,0.00013412129,0.0009905341,0.0002254528,0.000501167,0.00014123133,0.0007483347,0.0000028877228],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000190448,0.0007350921,0.9739648,0.000055423316,0.0000725352,0.0000048973625,0.024013907,0.000021539257,0.0000031855998,0.00011287455,0.00070385204,0.00012145032],"study_design_scores_gemma":[0.002495792,0.00062356674,0.80806035,0.0003593176,0.0002683073,5.772165e-7,0.15956958,0.00050487457,0.0000015639713,0.0011465796,0.026256856,0.0007126746],"about_ca_topic_score_codex":0.009257685,"about_ca_topic_score_gemma":0.072321475,"teacher_disagreement_score":0.2460057,"about_ca_system_score_codex":0.00085781154,"about_ca_system_score_gemma":0.001649591,"threshold_uncertainty_score":0.9973397},"labels":[],"label_agreement":null},{"id":"W4244759882","doi":"10.32920/ryerson.14657250","title":"Propelling employee led Innovation in public transit agencies","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Agency (philosophy); Documentation; Transit (satellite); Business; Public relations; Process (computing); Public transport; Knowledge management; Process management; Engineering; Transport engineering; Political science; Sociology; Computer science","score_opus":0.106132778497868,"score_gpt":0.32938978245008343,"score_spread":0.22325700395221543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4244759882","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9399054,0.00018609132,0.0053205052,0.0016568712,0.0004576434,0.000494463,0.0000036440963,0.00021203143,0.05176337],"genre_scores_gemma":[0.9964789,0.0000745367,0.0010005707,0.0001270553,0.00017564057,0.000039460945,0.00011448917,0.000012241921,0.001977101],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979095,0.00016574834,0.0006141951,0.0005174105,0.000449136,0.00034404866],"domain_scores_gemma":[0.99912757,0.00003476408,0.00013062899,0.00028197872,0.00037301847,0.000052050586],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001515378,0.00016891229,0.0003052027,0.00025476693,0.00018730591,0.00047514055,0.00043709303,0.0003581266,0.0010020289],"category_scores_gemma":[0.00015993061,0.0001604536,0.00009574955,0.0013476182,0.00016889087,0.00044115368,0.00006552654,0.0005503587,0.0000075704447],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007508048,0.00012054087,0.95118606,0.00019121097,0.000027918877,0.000022911536,0.03460139,0.000076969,0.00021175903,0.0075592576,0.00011751692,0.005876948],"study_design_scores_gemma":[0.00079583743,0.000027681164,0.91499025,0.00054927886,0.000072555275,2.049828e-7,0.04222894,0.00043606068,0.0022702732,0.025298193,0.01160711,0.0017235993],"about_ca_topic_score_codex":0.008999394,"about_ca_topic_score_gemma":0.10886028,"teacher_disagreement_score":0.09986088,"about_ca_system_score_codex":0.00021365935,"about_ca_system_score_gemma":0.0013135102,"threshold_uncertainty_score":0.9999112},"labels":[],"label_agreement":null},{"id":"W4244941734","doi":"10.32920/ryerson.14651940.v1","title":"Travel Lifestyles And The Built Environment: Exploring How Post-Secondary Students Navigate the GTHA","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Neighbourhood (mathematics); Built environment; Travel behavior; Geography; Modal; Population; Transport engineering; Psychology; Advertising; Sociology; Engineering; Business; Demography; Mathematics; Civil engineering","score_opus":0.04939847136236861,"score_gpt":0.2931644275401832,"score_spread":0.24376595617781457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4244941734","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9789512,0.0037316047,0.00006396309,0.012252419,0.00058100256,0.00077664945,0.000037544294,0.000049500723,0.0035560904],"genre_scores_gemma":[0.9916155,0.004076501,0.0000736168,0.00053794775,0.00037982222,0.00017515798,0.00003585747,0.00001946384,0.0030861867],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99739176,0.00046741444,0.00029552093,0.0006320481,0.0008400353,0.0003732195],"domain_scores_gemma":[0.9986994,0.0003030557,0.00017126281,0.000651485,0.000046232413,0.0001285356],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0018430416,0.0002807204,0.00038096533,0.000024038505,0.0010080104,0.0011255936,0.0013562589,0.00020093135,0.00060115097],"category_scores_gemma":[0.00006585248,0.00015460336,0.00023686337,0.00007619029,0.0014123324,0.00035420994,0.0007895424,0.00092993065,0.000007335058],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011854976,0.000315081,0.76483285,0.00025812868,0.0005778239,0.00006268095,0.20863456,0.000014831757,0.000121445846,0.002312714,0.0001837218,0.022567598],"study_design_scores_gemma":[0.00056301046,0.0000086673035,0.9509393,0.00007922081,0.00013242033,4.932964e-7,0.04360798,0.000006241676,0.0001726145,0.0015250802,0.0026742246,0.0002907359],"about_ca_topic_score_codex":0.011925676,"about_ca_topic_score_gemma":0.006323767,"teacher_disagreement_score":0.18610644,"about_ca_system_score_codex":0.00005450516,"about_ca_system_score_gemma":0.0002201704,"threshold_uncertainty_score":0.9999113},"labels":[],"label_agreement":null},{"id":"W4244957972","doi":"10.32920/ryerson.14639139.v1","title":"Suburbs on track : building transit-friendly neighbourhoods in the Toronto region","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Downtown; Transit (satellite); Track (disk drive); Transport engineering; Transit-oriented development; Business; Rail transit; Transit system; Affordable housing; Rapid transit; Geography; Environmental planning; Regional science; Public transport; Civil engineering; Engineering","score_opus":0.03730804544473223,"score_gpt":0.33054920512414915,"score_spread":0.29324115967941694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4244957972","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7798099,0.0005985111,0.0012310462,0.004297844,0.0007300149,0.00057758886,0.000004632223,0.000098818724,0.21265167],"genre_scores_gemma":[0.99765956,0.0002210866,0.00031958596,0.0005093116,0.00047553956,0.00004595914,0.000024908035,0.000016350226,0.00072768837],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970947,0.0005523803,0.00044325585,0.00074259395,0.000690871,0.00047623322],"domain_scores_gemma":[0.99880105,0.00020112912,0.000118949974,0.0007019041,0.000075297634,0.00010167494],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014845628,0.0002721378,0.0003882909,0.000040651168,0.00035586022,0.00039403772,0.0011013079,0.0004640035,0.0016872305],"category_scores_gemma":[0.00006971631,0.00020058996,0.00031327372,0.00023200005,0.00018861712,0.0003529461,0.000049180315,0.00075928925,0.0000030678343],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003086822,0.0024440174,0.41146266,0.00052074564,0.0001675796,0.0007506389,0.3901643,0.00044015213,0.00018895717,0.10577133,0.004089219,0.08369173],"study_design_scores_gemma":[0.00087148475,0.00016783549,0.86423284,0.0005343932,0.00015233892,0.0000015319811,0.09961641,0.00009681661,0.00038943946,0.013990045,0.018547952,0.0013988962],"about_ca_topic_score_codex":0.08462398,"about_ca_topic_score_gemma":0.39844665,"teacher_disagreement_score":0.4527702,"about_ca_system_score_codex":0.0003551758,"about_ca_system_score_gemma":0.00042275156,"threshold_uncertainty_score":0.9992254},"labels":[],"label_agreement":null},{"id":"W4245580704","doi":"10.32920/ryerson.14657586","title":"Liveable Cities and Urban Transit: Liveability in a Global Context and its Connections to the Greater Toronto and Hamilton Area (GTHA)","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Transit (satellite); Context (archaeology); Geography; Regional science; Transit system; Transport engineering; Business; Economic growth; Public transport; Engineering; Economics; Archaeology","score_opus":0.03515667920177029,"score_gpt":0.2883472861788184,"score_spread":0.2531906069770481,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4245580704","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9776475,0.00801196,0.00010023056,0.0022917306,0.00023460148,0.0009749639,0.00013665385,0.000056702356,0.010545644],"genre_scores_gemma":[0.99741864,0.0007795444,0.0000519772,0.0003368302,0.0000922887,0.00008262863,0.000011083714,0.0000071879326,0.0012198412],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981,0.00024242928,0.00031739238,0.0007686451,0.00023521359,0.00033633213],"domain_scores_gemma":[0.99918175,0.00013559019,0.000054834483,0.00027363628,0.00014102456,0.00021316412],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070818124,0.00025478876,0.0004314653,0.00002237717,0.00045918088,0.00043274675,0.0002018873,0.0002803594,0.0004537488],"category_scores_gemma":[0.000077367295,0.00019470077,0.000071383154,0.00012183942,0.00040909066,0.0003378485,0.00014518162,0.00024359839,7.7261495e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059070404,0.000069644084,0.88495594,0.0001438876,0.000045622204,0.000009992426,0.11152727,0.0000048087227,0.000009872028,0.0014657236,0.00016856194,0.0015396066],"study_design_scores_gemma":[0.00033498844,0.00004753165,0.93674517,0.00014461903,0.00006853732,0.0000017795998,0.05875246,0.00010028328,0.000036911133,0.0010517673,0.00236795,0.0003480286],"about_ca_topic_score_codex":0.13656019,"about_ca_topic_score_gemma":0.82590944,"teacher_disagreement_score":0.68934923,"about_ca_system_score_codex":0.00022615865,"about_ca_system_score_gemma":0.00019433306,"threshold_uncertainty_score":0.86918956},"labels":[],"label_agreement":null},{"id":"W4245588325","doi":"10.32920/ryerson.14655192","title":"Commuting for work and neighbourhood energy consumption","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"TRIPS architecture; Neighbourhood (mathematics); Work (physics); Energy consumption; Transport engineering; Plan (archaeology); Consumption (sociology); Greenhouse gas; Business; Geography; Engineering; Sociology","score_opus":0.05379587276635164,"score_gpt":0.32752213910217326,"score_spread":0.27372626633582164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4245588325","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9500249,0.0018186556,0.0194079,0.0011779928,0.00075177924,0.00031742404,0.000016154201,0.00014429027,0.026340915],"genre_scores_gemma":[0.9962856,0.00020456426,0.0019958974,0.00019621095,0.00021878595,0.000036257385,0.000087190514,0.000008123028,0.00096734025],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99905264,0.00007962549,0.00019785752,0.00032289818,0.00013831376,0.00020864286],"domain_scores_gemma":[0.9993632,0.00017880443,0.00009713396,0.00018762102,0.00009026548,0.00008297415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044583203,0.00011057655,0.00020681648,0.000024544644,0.00037287618,0.00026974635,0.00017434967,0.00020191587,0.0007485297],"category_scores_gemma":[0.000056371642,0.00010897805,0.000096319185,0.000058694208,0.0001696032,0.000085585634,0.00011879907,0.00016388024,4.6144655e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014944912,0.000054764918,0.95572776,0.00014243451,0.000041159565,0.0000020009347,0.004030763,0.0000044280764,0.0000053466897,0.014079121,0.00023122162,0.025666038],"study_design_scores_gemma":[0.0008483408,0.000022512253,0.94094193,0.0005032604,0.00024038683,2.1671684e-7,0.006639881,0.00016823603,0.00038245288,0.029502405,0.01965593,0.001094428],"about_ca_topic_score_codex":0.0042756475,"about_ca_topic_score_gemma":0.01593581,"teacher_disagreement_score":0.04626074,"about_ca_system_score_codex":0.00003993169,"about_ca_system_score_gemma":0.00015983247,"threshold_uncertainty_score":0.88925564},"labels":[],"label_agreement":null},{"id":"W4245736105","doi":"10.31235/osf.io/mnaw5","title":"Immigrant settlement patterns, transit accessibility, and transit use","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"University of Toronto","keywords":"Immigration; Public transport; Geography; Transit (satellite); Settlement (finance); TRIPS architecture; Demographic economics; Business; Economic geography; Transport engineering; Economics; Engineering","score_opus":0.045356178180755956,"score_gpt":0.3203013580859222,"score_spread":0.27494517990516626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4245736105","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98492736,0.00085626857,0.006866483,0.0032094992,0.00067875284,0.0009818719,0.0005014907,0.00022178821,0.0017564915],"genre_scores_gemma":[0.99594295,0.0009563295,0.0007200603,0.00047725154,0.00023622843,0.00005430772,0.00042552073,0.000030017096,0.0011573272],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99607515,0.00036569533,0.00074350054,0.0013630736,0.0008300243,0.00062252424],"domain_scores_gemma":[0.9983674,0.00012899861,0.00015994479,0.0007689103,0.00020894434,0.0003657525],"candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011088557,0.00044922085,0.000696231,0.00009383089,0.00045815928,0.0012037277,0.0006641627,0.0005593795,0.0032191437],"category_scores_gemma":[0.000035609002,0.00041365836,0.00037978883,0.00019216862,0.00037695494,0.0007233235,0.0002073353,0.0007439645,0.00000405882],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004013431,0.00031463715,0.9645171,0.0006367222,0.00014200907,0.000071877934,0.02564285,0.000018045472,0.00008760092,0.00022682961,0.00015060128,0.00815155],"study_design_scores_gemma":[0.0005386213,0.000020986698,0.98701566,0.0002855022,0.00025690402,4.7229813e-7,0.006376418,0.00004623519,0.00050401746,0.0011341785,0.0030292743,0.0007917037],"about_ca_topic_score_codex":0.05329133,"about_ca_topic_score_gemma":0.20904131,"teacher_disagreement_score":0.15574999,"about_ca_system_score_codex":0.00013588376,"about_ca_system_score_gemma":0.00050555123,"threshold_uncertainty_score":0.9998331},"labels":[],"label_agreement":null},{"id":"W4246431812","doi":"10.26868/25222708.2019.210878","title":"Energy Performance Comparison Of A High Density Mixed Use Building To Traditional Building Types","year":2020,"lang":"en","type":"article","venue":"Building Simulation Conference proceedings","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Embodied energy; Architectural engineering; Efficient energy use; Energy (signal processing); Building material; Civil engineering; Computer science; Environmental science; Engineering; Mathematics; Ecology; Statistics","score_opus":0.11014176724778613,"score_gpt":0.32629752510802534,"score_spread":0.21615575786023922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4246431812","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9401995,0.000016020824,0.05799094,0.0009367783,0.00017729789,0.000236502,0.000012035857,0.00017842777,0.00025250792],"genre_scores_gemma":[0.98614156,0.0000055338974,0.01324071,0.00020699932,0.00033557214,0.000012757584,0.00000964934,0.000019271502,0.000027918644],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99775153,0.000031211406,0.0005763663,0.00054181006,0.00070280686,0.00039627904],"domain_scores_gemma":[0.99821013,0.00025595367,0.0003275847,0.00008989671,0.00080531137,0.0003110989],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039390332,0.0002214797,0.0004262277,0.00014773748,0.00054140046,0.0002620393,0.0004203248,0.00015774398,0.00011314081],"category_scores_gemma":[0.0005597758,0.00024283957,0.00009242726,0.0007959663,0.00017922986,0.0013040019,0.00006288477,0.00019654944,0.0000036964766],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025588836,0.00013084174,0.80367154,0.0001465838,0.000043273667,8.5544156e-7,0.014394895,0.011736748,0.025102135,0.12598634,0.00017459474,0.018356325],"study_design_scores_gemma":[0.0009205583,0.0002946912,0.52435577,0.00042049133,0.00012777938,3.781741e-7,0.0016725062,0.38370758,0.076075725,0.006747667,0.0047273375,0.0009495064],"about_ca_topic_score_codex":0.0011430514,"about_ca_topic_score_gemma":0.0001236305,"teacher_disagreement_score":0.37197083,"about_ca_system_score_codex":0.00010713255,"about_ca_system_score_gemma":0.00017576858,"threshold_uncertainty_score":0.990271},"labels":[],"label_agreement":null},{"id":"W4246687270","doi":"10.32920/ryerson.14667936","title":"Exploring urban accessibility scores using multi-criteria decision analysis techniques","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University","funders":"","keywords":"Walkability; Neighbourhood (mathematics); Multiple-criteria decision analysis; Weighting; Geography; Transport engineering; Statistics; Computer science; Built environment; Mathematics; Medicine; Operations research; Engineering; Civil engineering","score_opus":0.2649494575641235,"score_gpt":0.4279567810148285,"score_spread":0.16300732345070496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4246687270","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90008616,0.00045764196,0.09599329,0.00004987212,0.000843592,0.00056158146,0.00003319608,0.00053800765,0.0014366865],"genre_scores_gemma":[0.8993132,0.000247541,0.09957581,0.00004266923,0.00043431373,0.00007986771,0.00010434781,0.000027100908,0.000175124],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99542385,0.00044637636,0.0009994694,0.0016095799,0.000914783,0.0006059239],"domain_scores_gemma":[0.9972339,0.00019420822,0.00037325794,0.001360452,0.0005497826,0.0002883471],"candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0022450918,0.0004494128,0.001020763,0.00053564075,0.0007537855,0.0012832804,0.001274908,0.00051280996,0.0019515447],"category_scores_gemma":[0.00039212938,0.0004218759,0.00093697384,0.0017702971,0.0004107032,0.001541352,0.0008586268,0.0006915552,0.000002732761],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024897312,0.0002685028,0.98380375,0.00010496066,0.00029887113,0.000022059705,0.0055382303,0.000038649636,0.00037945743,0.000030991538,0.000020966909,0.009468643],"study_design_scores_gemma":[0.00017679638,0.000009358963,0.9824529,0.0004322836,0.0013869527,9.9986494e-8,0.0037231774,0.0025759032,0.006821399,0.001065096,0.0003325476,0.0010234438],"about_ca_topic_score_codex":0.0441769,"about_ca_topic_score_gemma":0.050049365,"teacher_disagreement_score":0.0084452,"about_ca_system_score_codex":0.0004779272,"about_ca_system_score_gemma":0.0007032177,"threshold_uncertainty_score":0.99982333},"labels":[],"label_agreement":null},{"id":"W4246810992","doi":"10.32920/ryerson.14661837","title":"Enabling engagement: an exploration of accessibility planning from Berlin to Toronto","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"","keywords":"Legislation; Disabled people; Work (physics); Public relations; Perception; Political science; Landmark; Sociology; Psychology; Computer science; Engineering; Applied psychology","score_opus":0.17113035365870177,"score_gpt":0.41021544382183583,"score_spread":0.23908509016313406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4246810992","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9540481,0.00065287517,0.026017725,0.00018222565,0.0008134937,0.00062578503,0.000050577502,0.00014604395,0.017463168],"genre_scores_gemma":[0.99183214,0.000051062652,0.006713927,0.000103670944,0.00054829055,0.000054310643,0.0004586236,0.000015429543,0.00022252154],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969483,0.0005127809,0.00068206916,0.00092280196,0.00063339877,0.0003006316],"domain_scores_gemma":[0.99827296,0.00013792151,0.00027098606,0.0007728199,0.00031179897,0.00023350869],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0019297912,0.00022307337,0.00045693226,0.0000447293,0.00032958004,0.0003807231,0.0007861495,0.0003303419,0.0031400293],"category_scores_gemma":[0.00023283795,0.0002272476,0.0001502027,0.0001618471,0.00008553943,0.0028773637,0.00026462885,0.00034815652,0.0000026666319],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013105677,0.0008014759,0.53221905,0.00027793334,0.0001504128,0.000013885983,0.436197,0.0015588745,0.0024712496,0.000989465,0.0001133341,0.025076242],"study_design_scores_gemma":[0.000704589,0.00011778114,0.517361,0.0010303741,0.0002997973,1.3088307e-8,0.42374364,0.0003678386,0.023547515,0.027655197,0.0034209308,0.0017513297],"about_ca_topic_score_codex":0.16729996,"about_ca_topic_score_gemma":0.23404203,"teacher_disagreement_score":0.06674209,"about_ca_system_score_codex":0.0002993537,"about_ca_system_score_gemma":0.00052901736,"threshold_uncertainty_score":0.99777126},"labels":[],"label_agreement":null},{"id":"W4246854202","doi":"10.32920/ryerson.14662152","title":"Flight simulator system for research and teaching application","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Windsor; Environmental science; Air pollution; Geography; Meteorology; Environmental health; Medicine; Ecology","score_opus":0.10990622260726506,"score_gpt":0.44520207798321837,"score_spread":0.3352958553759533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4246854202","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90897,0.00046136914,0.034498304,0.0010707924,0.00038452502,0.0020487001,0.000021849228,0.00020760387,0.052336846],"genre_scores_gemma":[0.9953301,0.000008972718,0.0014498321,0.000011421135,0.00049461017,0.00021327194,0.000058109235,0.000010344397,0.0024233263],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983811,0.00018767119,0.00022021895,0.0005432898,0.00039520854,0.0002725254],"domain_scores_gemma":[0.99887383,0.0003207522,0.000062071136,0.00032298337,0.00030863966,0.0001117084],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034769864,0.00009266102,0.00020045963,0.000058212994,0.00087278784,0.0003602441,0.00029692295,0.00028263035,0.000023003384],"category_scores_gemma":[0.00011571489,0.00008442179,0.00006455671,0.00006209903,0.00016218335,0.000108219036,0.00014706327,0.00046828706,0.000002373576],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000085540494,0.00044839116,0.31989902,0.006325598,0.00015372531,0.000006889317,0.037937094,0.0001149805,0.00084874226,0.59971523,0.0013837694,0.03308098],"study_design_scores_gemma":[0.0028384912,0.00022583659,0.13299008,0.003116952,0.00043019062,9.0183966e-7,0.24501586,0.035581194,0.0064957934,0.10766696,0.46176687,0.0038708579],"about_ca_topic_score_codex":0.0069458922,"about_ca_topic_score_gemma":0.0046715364,"teacher_disagreement_score":0.4920483,"about_ca_system_score_codex":0.00017637505,"about_ca_system_score_gemma":0.0002959829,"threshold_uncertainty_score":0.9996669},"labels":[],"label_agreement":null},{"id":"W4247256992","doi":"10.32920/ryerson.14655471","title":"Exploring Work And Non-Work Cycling Behaviour In The Greater Toronto and Hamilton Area, Canada","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"University of Toronto","keywords":"Cycling; TRIPS architecture; Metropolitan area; Journey to work; Work (physics); Transport engineering; Travel behavior; Neighbourhood (mathematics); Geography; Travel survey; Built environment; Engineering; Civil engineering; Mathematics; Public transport; Forestry","score_opus":0.08410366780399021,"score_gpt":0.28324906447254883,"score_spread":0.19914539666855863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4247256992","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9927608,0.00082386326,0.000021766597,0.0005068637,0.00047734517,0.00029793807,0.000004179861,0.000018471223,0.0050887773],"genre_scores_gemma":[0.9986965,0.000359612,0.00014575767,0.00013129097,0.00015064582,0.00006826034,0.000013367599,0.000008897877,0.0004256877],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985172,0.000097303135,0.00025871812,0.0004834153,0.00033559286,0.00030773177],"domain_scores_gemma":[0.99942744,0.000091844835,0.00006296049,0.0002828318,0.00003673783,0.00009819881],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006335925,0.00018332074,0.00026309822,0.000016043114,0.0002754681,0.00032423428,0.0002834162,0.00013850005,0.00015097314],"category_scores_gemma":[0.000017242066,0.00013551934,0.00004318367,0.00011966703,0.00010464011,0.00027559526,0.000114302464,0.00035578135,8.780068e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000058242754,0.000011965219,0.9701383,0.000019545212,0.0000073336582,0.000036852285,0.028689967,0.000004208303,4.2398815e-7,0.0000095421665,0.000067456116,0.0010085964],"study_design_scores_gemma":[0.00007395936,0.0000021870233,0.9795374,0.00015988488,0.000025358311,8.145432e-8,0.01969907,0.0000015795074,0.000011861687,0.00003976388,0.0002633675,0.00018545736],"about_ca_topic_score_codex":0.97270894,"about_ca_topic_score_gemma":0.9977431,"teacher_disagreement_score":0.0250342,"about_ca_system_score_codex":0.0002230985,"about_ca_system_score_gemma":0.00032716745,"threshold_uncertainty_score":0.5526318},"labels":[],"label_agreement":null},{"id":"W4247430086","doi":"10.2196/preprints.18008","title":"Inferring Destinations and Activity Types of Older Adults From GPS Data: Algorithm Development and Validation (Preprint)","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health Sciences Centre; Université TÉLUQ; Toronto Rehabilitation Institute; Sunnybrook Health Science Centre; Baycrest Hospital; University of Toronto; University Health Network","funders":"","keywords":"Global Positioning System; Destinations; Computer science; Construct (python library); Geography; Telecommunications; Tourism","score_opus":0.06411567867222678,"score_gpt":0.3287728513604722,"score_spread":0.2646571726882454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4247430086","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9287193,0.000112563364,0.06889211,0.00028197383,0.000118813594,0.00041634482,0.00011649537,0.000069031776,0.0012733695],"genre_scores_gemma":[0.9578853,0.00006541824,0.041643888,0.000011238734,0.000076352364,0.000013928211,0.00025959377,0.000006515137,0.000037713387],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986947,0.000065478394,0.00025722312,0.00060859765,0.00025722757,0.000116773874],"domain_scores_gemma":[0.9991704,0.0001434136,0.00017426116,0.0003052996,0.000107304055,0.00009929695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004314767,0.00013187274,0.00023461097,0.000040194038,0.00018592592,0.000101730126,0.00029494963,0.00015448563,0.000110404406],"category_scores_gemma":[0.00016481747,0.00013033322,0.00001893225,0.00008656719,0.00015027034,0.00036044573,0.00067336275,0.00021724396,0.0000018618033],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018516132,0.0001390162,0.54449874,0.00024084093,0.0000958172,0.0000020746102,0.027130801,0.000013338645,0.000050318416,0.0002897242,0.000034372708,0.42748645],"study_design_scores_gemma":[0.00019619873,0.0000037346017,0.99180925,0.0001728493,0.000046463563,3.499277e-8,0.0006636185,0.0016896197,0.0022723903,0.0026182851,0.00033511562,0.0001924294],"about_ca_topic_score_codex":0.014412429,"about_ca_topic_score_gemma":0.007018002,"teacher_disagreement_score":0.44731054,"about_ca_system_score_codex":0.000039000402,"about_ca_system_score_gemma":0.00032804254,"threshold_uncertainty_score":0.99215066},"labels":[],"label_agreement":null},{"id":"W4247888967","doi":"10.1002/atr.1336","title":"Issue information ‐ Information page","year":2016,"lang":"en","type":"paratext","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Citation; Computer science; Information retrieval; World Wide Web","score_opus":0.009139100157502156,"score_gpt":0.29220965178191793,"score_spread":0.2830705516244158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4247888967","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2910764,0.0045764465,0.11840968,0.010845076,0.093980536,0.0046256813,0.003976994,0.00029848184,0.4722107],"genre_scores_gemma":[0.9338096,0.012167015,0.0054139146,0.0011684237,0.0062053557,0.000043848064,0.0040224176,0.00006400607,0.037105452],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9970355,0.00007235465,0.00154819,0.000097130905,0.00095409603,0.00029273218],"domain_scores_gemma":[0.9960599,0.000079312784,0.0023989712,0.0001535416,0.0011354089,0.0001728497],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000651383,0.0002305515,0.0004456157,0.00039790888,0.00024767467,0.00012287949,0.00036760428,0.00038042944,0.0031942797],"category_scores_gemma":[0.00007849364,0.00018611403,0.00027535085,0.0003152489,0.00013293936,0.011776654,0.0000016148924,0.0004157833,0.0014447126],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018795336,0.00024721338,0.0049198996,0.0019814826,0.0003887411,0.000021125965,0.14258139,0.004977215,0.00039088394,0.001787116,0.34988952,0.49093586],"study_design_scores_gemma":[0.00087187614,0.000083390325,0.018773763,0.00034762753,0.00007988882,3.4475372e-7,0.002422522,4.020755e-7,0.00013706586,0.00043392772,0.9766119,0.00023726685],"about_ca_topic_score_codex":0.00011943358,"about_ca_topic_score_gemma":0.0003003585,"teacher_disagreement_score":0.64273316,"about_ca_system_score_codex":0.00022749216,"about_ca_system_score_gemma":0.0006681536,"threshold_uncertainty_score":0.9993328},"labels":[],"label_agreement":null},{"id":"W4247911844","doi":"10.1177/0361198106198500109","title":"Modeling Individuals’ Frequency and Time Allocation Behavior for Shopping Activities considering Household-Level Random Effects","year":2006,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Random effects model; Multilevel model; Econometrics; Ordered logit; Component (thermodynamics); Logit; Statistics; Hierarchical database model; Time allocation; Duration (music); Hazard; Logistic regression; Computer science; Fixed effects model; Mathematics; Panel data; Economics; Data mining","score_opus":0.1394440288146937,"score_gpt":0.39104136215834423,"score_spread":0.25159733334365053,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4247911844","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9864214,0.00041272934,0.009166048,0.0011354692,0.00030892214,0.0022457214,0.00012487413,0.000049404127,0.00013541343],"genre_scores_gemma":[0.99486256,0.00029375192,0.0036909902,0.000022222383,0.00035456117,0.00025575366,0.000037824135,0.00005044218,0.00043190006],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99351513,0.0011253848,0.0012238551,0.00044607598,0.002760323,0.00092924706],"domain_scores_gemma":[0.99554086,0.0017379556,0.00034566177,0.000282367,0.0018031452,0.0002900121],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0069329636,0.00024472285,0.00050135044,0.0007367716,0.0018482982,0.000317177,0.00067643437,0.00025152543,0.00006889935],"category_scores_gemma":[0.00027095617,0.00020686028,0.00033651915,0.0010137748,0.000954604,0.0013515071,0.00000523471,0.0011633929,0.0000020146576],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00073446473,0.0003379843,0.96891475,0.0004439048,0.00011605873,0.00003802805,0.0059431,0.0023221774,0.012916408,0.0038544443,0.0004661739,0.003912524],"study_design_scores_gemma":[0.003082748,0.0002291644,0.9790645,0.00043384032,0.00014219564,1.6184141e-7,0.002726625,0.0005626363,0.0014955372,0.011331075,0.00063966535,0.0002918052],"about_ca_topic_score_codex":0.040170696,"about_ca_topic_score_gemma":0.10486543,"teacher_disagreement_score":0.06469474,"about_ca_system_score_codex":0.00024960263,"about_ca_system_score_gemma":0.000872391,"threshold_uncertainty_score":0.99945116},"labels":[],"label_agreement":null},{"id":"W4247988930","doi":"10.5822/978-1-61091-880-0","title":"Building the Cycling City","year":2018,"lang":"en","type":"book","venue":"Island Press/Center for Resource Economics eBooks","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"March of Dimes Canada","funders":"","keywords":"Cycling; Atlanta; Connection (principal bundle); Transport engineering; Transit (satellite); Architectural engineering; Geography; Sociology; Engineering; Metropolitan area; Public transport; Archaeology; Mechanical engineering","score_opus":0.03913442973972498,"score_gpt":0.2893823700500575,"score_spread":0.25024794031033254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4247988930","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015437273,0.00029888944,0.00045834336,0.00017528259,0.0009156374,0.0013690288,0.0009978436,0.00010607893,0.9802416],"genre_scores_gemma":[0.016710924,0.000052546875,0.00027273723,0.00054978335,0.0060362723,0.00011572614,0.00019502707,0.00010305783,0.97596395],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978088,0.000098268654,0.00060183596,0.0006805457,0.00017776842,0.00063278753],"domain_scores_gemma":[0.99817985,0.00043605966,0.0004919511,0.0006481596,0.00008735486,0.00015659584],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001383788,0.00036894574,0.0004888843,0.00006461344,0.0011915272,0.0004569459,0.0012502429,0.0005297765,0.00012410026],"category_scores_gemma":[0.000042810454,0.00030344838,0.0004767256,0.000011061028,0.00073128636,0.00010188256,0.00013555176,0.0004883032,0.000012802395],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010401863,0.00016102081,0.012128794,0.0006049575,0.0013072067,0.000010841559,0.0418526,0.00006581357,0.0000067486644,0.10605343,0.79959875,0.03716965],"study_design_scores_gemma":[0.0004514504,0.000026457199,0.000047968228,0.000100713296,0.00009419155,4.7058936e-7,0.00006080205,0.000052595606,0.00003381471,0.037863,0.96091413,0.00035441088],"about_ca_topic_score_codex":0.00035827956,"about_ca_topic_score_gemma":0.007564428,"teacher_disagreement_score":0.16131537,"about_ca_system_score_codex":0.00023507162,"about_ca_system_score_gemma":0.00031394287,"threshold_uncertainty_score":0.99994177},"labels":[],"label_agreement":null},{"id":"W4248071383","doi":"10.32920/ryerson.14665635","title":"Coordinated evaluation of active and sustainable school travel : international best practices","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Data collection; Stakeholder; Sustainability; Best practice; Business; Sustainable development; Traffic congestion; Public relations; Environmental planning; Process management; Marketing; Computer science; Transport engineering; Political science; Engineering; Geography; Sociology","score_opus":0.08895792260320792,"score_gpt":0.4140159499589403,"score_spread":0.3250580273557324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248071383","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79949886,0.00024944657,0.00019556817,0.0011637628,0.00028368764,0.00053150975,0.00001387414,0.000016756469,0.19804652],"genre_scores_gemma":[0.9897652,0.00013964223,0.00024558176,0.000018195378,0.00011606026,0.00003914186,0.00009947163,0.00000560852,0.009571062],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980656,0.00032865402,0.0002593171,0.00037715564,0.0007857345,0.00018355901],"domain_scores_gemma":[0.99665385,0.00011079118,0.00058977865,0.00016287724,0.0023977964,0.00008489011],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0023726772,0.00011090698,0.00020693609,0.000088111374,0.00017240163,0.00022182697,0.00026879844,0.00022488309,0.003258978],"category_scores_gemma":[0.0021238385,0.00010912741,0.00006151324,0.00015691617,0.00019659306,0.0007102131,0.00016748147,0.00030542002,0.0000015101804],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003330566,0.0019208653,0.8521335,0.0009071007,0.0011921272,0.000036262398,0.05081286,0.00021359415,0.0008046088,0.017700637,0.00087181584,0.07307356],"study_design_scores_gemma":[0.0011049374,0.000036811496,0.5943247,0.0002056128,0.00076830364,3.5664175e-7,0.3805485,0.0015784274,0.002882339,0.01612142,0.001958347,0.00047021697],"about_ca_topic_score_codex":0.06408302,"about_ca_topic_score_gemma":0.013012362,"teacher_disagreement_score":0.32973564,"about_ca_system_score_codex":0.00026959257,"about_ca_system_score_gemma":0.0021952428,"threshold_uncertainty_score":0.9976522},"labels":[],"label_agreement":null},{"id":"W4248170120","doi":"10.22215/etd/2016-11532","title":"Bicycle-Vehicle Interactions at Mid-Sections of Mixed Traffic Streets: Examining Passing Distance and Bicycle Comfort Perception","year":2016,"lang":"en","type":"dissertation","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University","funders":"","keywords":"Perception; Transport engineering; Position (finance); Enhanced Data Rates for GSM Evolution; Geography; Simulation; Engineering; Psychology; Telecommunications","score_opus":0.029248390763065343,"score_gpt":0.32078556521365775,"score_spread":0.2915371744505924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248170120","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9786942,0.00010235777,0.00015845556,0.00012952581,0.0008836363,0.00026327808,0.000067933826,0.00012343322,0.01957719],"genre_scores_gemma":[0.97552174,0.00008060129,0.00013402493,0.0000073613305,0.0001774705,0.000026503776,0.00027228927,0.000023531193,0.023756461],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983544,0.000100837606,0.00048706066,0.00043918088,0.00033579816,0.0002827318],"domain_scores_gemma":[0.9990384,0.00018043116,0.00032714094,0.00020304187,0.00012641607,0.00012455783],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002671395,0.00020684187,0.00030974555,0.00015893136,0.0010700844,0.0000865463,0.00016956241,0.00022638714,0.0010825563],"category_scores_gemma":[0.00004642671,0.00018058396,0.000116410105,0.00027954127,0.00028305588,0.0005972833,0.0000130697435,0.00019164878,0.000010985327],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019578676,0.00037815724,0.8240923,0.0003293672,0.000118572956,0.00000309521,0.03472083,0.000015635927,0.02547589,0.00026681452,0.000557204,0.1138463],"study_design_scores_gemma":[0.00029228462,0.000024339664,0.96396875,0.00033319727,0.00009838998,2.6308373e-7,0.032265153,0.000057897876,0.0010359859,0.00023288494,0.0013803898,0.0003104364],"about_ca_topic_score_codex":0.002588729,"about_ca_topic_score_gemma":0.2196339,"teacher_disagreement_score":0.21704519,"about_ca_system_score_codex":0.0002623154,"about_ca_system_score_gemma":0.00013260837,"threshold_uncertainty_score":0.9998306},"labels":[],"label_agreement":null},{"id":"W4248306260","doi":"10.22215/etd/2006-08329","title":"An evaluation of environmental impact assessment in Barbados","year":2006,"lang":"en","type":"dissertation","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Heritage; Library and Archives Canada","funders":"Minnesota Pollution Control Agency; Inter-American Development Bank","keywords":"Humanities; Geography; Art","score_opus":0.023652138809075934,"score_gpt":0.4068304553309263,"score_spread":0.3831783165218504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248306260","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91977805,0.00008185806,0.0000048560914,0.000005528257,0.00012755564,0.00045149203,0.000025815963,0.000012044103,0.079512805],"genre_scores_gemma":[0.9964924,0.000009056567,0.0000681162,0.00000263186,0.000057410132,0.000022236885,0.0020584047,0.000008363164,0.0012814217],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980876,0.0002227211,0.0003193633,0.00022947969,0.0009857531,0.00015508632],"domain_scores_gemma":[0.99957746,0.000017443435,0.00016455467,0.00015362626,0.00003944747,0.000047482747],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014823646,0.000114293594,0.00018715281,0.00009924732,0.000068599984,0.000024817367,0.00017047049,0.00019940815,0.0049093966],"category_scores_gemma":[0.0000073091564,0.00010364441,0.000091190275,0.00011691641,0.000049387007,0.00027955166,0.0000015612708,0.00013720703,0.0000027379358],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016217213,0.00046620728,0.9810513,0.000014370896,0.000009762798,4.6986202e-7,0.0032596616,0.00007009967,0.0012388183,0.00010252008,0.000036778318,0.013733769],"study_design_scores_gemma":[0.00022626281,0.000028707014,0.99462634,0.000014557759,0.00005426603,3.773193e-9,0.003554386,0.00030334058,0.0002458305,0.0008158156,0.000019836742,0.00011067061],"about_ca_topic_score_codex":0.025049761,"about_ca_topic_score_gemma":0.13888866,"teacher_disagreement_score":0.113838896,"about_ca_system_score_codex":0.00048573557,"about_ca_system_score_gemma":0.0006773653,"threshold_uncertainty_score":0.99600023},"labels":[],"label_agreement":null},{"id":"W4248378174","doi":"10.1037/e507502013-091","title":"Canadian School Travel Planning: Well-being and the School Journey","year":2012,"lang":"en","type":"dataset","venue":"PsycEXTRA Dataset","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geography; Mathematics education; Transport engineering; Psychology; Engineering","score_opus":0.02871437611148813,"score_gpt":0.3236570445549516,"score_spread":0.29494266844346345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248378174","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00020334178,0.001994764,0.0000043163514,0.0025861594,0.00087224983,0.0007049219,0.9901831,0.000025771678,0.0034253732],"genre_scores_gemma":[0.0038487515,0.00067581196,0.000029109122,0.0020723578,0.0018532664,0.000046006207,0.9911417,0.0000235992,0.00030944136],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9964553,0.0004382485,0.0005796653,0.0006606128,0.00070530013,0.0011608319],"domain_scores_gemma":[0.99626505,0.00025525625,0.00028331467,0.0011937878,0.00005606009,0.0019465055],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0028038735,0.00045495233,0.0005584823,0.00024421027,0.0017229295,0.0007210841,0.0017617599,0.00055559777,0.011019267],"category_scores_gemma":[0.00043791792,0.00033879917,0.0001238237,0.0003467399,0.000892224,0.00068877195,0.000082857965,0.0014600155,0.0011977492],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051592102,0.000034671917,0.009143176,0.000056531146,0.00006950633,0.000037609974,0.0003643018,2.000739e-7,2.1804487e-7,0.00010622249,0.9900567,0.00007926193],"study_design_scores_gemma":[0.00071432826,0.000008318272,0.009403649,0.000089643014,0.00028041325,0.000004644283,0.0007493176,9.503556e-7,4.8616363e-7,0.00063882046,0.9876538,0.00045561648],"about_ca_topic_score_codex":0.67924386,"about_ca_topic_score_gemma":0.7190081,"teacher_disagreement_score":0.03976422,"about_ca_system_score_codex":0.00026845917,"about_ca_system_score_gemma":0.0014828577,"threshold_uncertainty_score":0.9999064},"labels":[],"label_agreement":null},{"id":"W4248648451","doi":"10.32920/ryerson.14657691","title":"Developers' perspectives on transit-oriented development in Edmonton, Alberta","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Transit-oriented development; Transit (satellite); Planner; Plan (archaeology); Transport engineering; Business; Urban planning; Investment (military); Light rail transit; Land use; Public transport; Engineering; Computer science; Geography; Political science; Civil engineering","score_opus":0.022621023138633876,"score_gpt":0.2976719338951525,"score_spread":0.2750509107565186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248648451","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80391484,0.00037433713,0.0006133338,0.0014136806,0.00045641363,0.0005190651,0.0000029055864,0.00007804488,0.19262737],"genre_scores_gemma":[0.98663056,0.000123372,0.0032974295,0.00015776645,0.000113981296,0.000075633296,0.00007743617,0.000019543395,0.009504264],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99712384,0.00020202191,0.00051942666,0.0010334846,0.00061953923,0.00050171156],"domain_scores_gemma":[0.9990048,0.00011652591,0.000093528884,0.00036974077,0.0002448801,0.00017053071],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006848343,0.00032502163,0.0004626183,0.0001678536,0.0002946473,0.00015820772,0.0005144486,0.00043950722,0.0020248338],"category_scores_gemma":[0.00015646167,0.0003085265,0.00015247034,0.00038111783,0.00020698123,0.00017486273,0.0000988504,0.00067686755,0.00002710527],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007358725,0.0008922817,0.14703026,0.00009946557,0.00011253694,0.000070335474,0.8361374,0.00006349447,0.000019317036,0.009163411,0.00016168368,0.0061761793],"study_design_scores_gemma":[0.00081182056,0.000022899954,0.78880477,0.0006111875,0.00003871874,1.9620414e-7,0.14923643,0.000020189274,0.0010075158,0.0003675776,0.057704393,0.0013742847],"about_ca_topic_score_codex":0.045856755,"about_ca_topic_score_gemma":0.52036613,"teacher_disagreement_score":0.68690103,"about_ca_system_score_codex":0.00073109,"about_ca_system_score_gemma":0.0026251054,"threshold_uncertainty_score":0.9999367},"labels":[],"label_agreement":null},{"id":"W4248736784","doi":"10.32920/ryerson.14651685.v1","title":"Regional Planning for Active and Sustainable School Travel: Challenges and Opportunities","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University; University of Waterloo","funders":"Mitacs","keywords":"Corporate governance; Thematic analysis; Business; Environmental planning; Multidisciplinary approach; Public relations; Thematic map; Sustainable development; Qualitative research; Political science; Sociology; Geography","score_opus":0.1692947793933223,"score_gpt":0.35129275318917175,"score_spread":0.18199797379584945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248736784","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.806957,0.038027156,0.0009043675,0.013902421,0.00022709365,0.0013494437,0.000036881484,0.00013389484,0.13846174],"genre_scores_gemma":[0.9736123,0.010544758,0.00051790016,0.00017444171,0.0002779038,0.00010096542,0.00005759513,0.000013505033,0.01470065],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.99875844,0.0000732275,0.00016418389,0.0004616881,0.00019425385,0.00034819441],"domain_scores_gemma":[0.9991806,0.0001698209,0.00008996828,0.00012999958,0.00023278699,0.00019678024],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005619278,0.00015961734,0.00028680835,0.00006518835,0.0004557171,0.00022539962,0.00013644717,0.00027071522,0.000110916066],"category_scores_gemma":[0.00008279276,0.00015380446,0.000063808046,0.000022726794,0.00034767264,0.00033095718,0.00013507933,0.00024872166,8.50086e-8],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004707398,0.00030272335,0.023696862,0.0059568803,0.00059491524,0.00026579405,0.3441771,0.000008734788,0.000018611961,0.529465,0.0034638664,0.09157875],"study_design_scores_gemma":[0.00037256812,0.000034896628,0.11142862,0.0002166382,0.00008079153,7.647074e-7,0.8019953,0.000021455873,0.000043296877,0.060764365,0.024606422,0.00043493175],"about_ca_topic_score_codex":0.001568006,"about_ca_topic_score_gemma":0.0014692874,"teacher_disagreement_score":0.46870065,"about_ca_system_score_codex":0.00005985023,"about_ca_system_score_gemma":0.0007600427,"threshold_uncertainty_score":0.6271964},"labels":[],"label_agreement":null},{"id":"W4249136719","doi":"10.32920/ryerson.14653944","title":"Life Cycles: A Retrospective Analysis of Transportation Behaviours and Attitudes","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Sample (material); Context (archaeology); Coding (social sciences); Focus group; Grounded theory; Process (computing); Conceptual model; Data collection; Computer science; Psychology; Data science; Applied psychology; Management science; Knowledge management; Qualitative research; Sociology; Engineering; Social science; Geography; Database","score_opus":0.029875449786756516,"score_gpt":0.33584940364164173,"score_spread":0.30597395385488524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4249136719","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961966,0.0003983026,0.0005934808,0.00019752246,0.00010734938,0.00019859825,0.00021866731,0.00004960655,0.0020398588],"genre_scores_gemma":[0.99865496,0.00017880806,0.000504973,0.000035001493,0.00003860787,0.000011346288,0.00041248626,0.000006350217,0.00015747776],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985054,0.00007539184,0.00036972432,0.00048348133,0.00041577098,0.00015023659],"domain_scores_gemma":[0.9990881,0.00003891916,0.00021803996,0.00024006813,0.00025025566,0.00016458833],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004051816,0.0001364184,0.0005643983,0.00017951794,0.00012383913,0.0000859217,0.00018207158,0.000257984,0.0008117136],"category_scores_gemma":[0.000060809005,0.00013476478,0.0003225986,0.0006448378,0.00034164003,0.00014510434,0.000018204453,0.00022203628,1.5507048e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005179008,0.00010347915,0.98482484,0.00004079042,0.00061949017,0.000002879284,0.013442002,0.000042017575,0.000008822884,0.00076450664,0.000012605019,0.00013341474],"study_design_scores_gemma":[0.00006381883,0.0000063007533,0.99387443,0.000033190077,0.002227836,2.7882514e-9,0.003349243,0.00001830485,0.00003907395,0.00024233568,0.000005626228,0.00013981381],"about_ca_topic_score_codex":0.0457559,"about_ca_topic_score_gemma":0.31302354,"teacher_disagreement_score":0.2672676,"about_ca_system_score_codex":0.00006148347,"about_ca_system_score_gemma":0.00042597082,"threshold_uncertainty_score":0.96059847},"labels":[],"label_agreement":null},{"id":"W4249146125","doi":"10.1111/cag.12149","title":"Cartography: Visualization of spatial data, 3rd edition","year":2015,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Geographer; Citation; Visualization; Cartography; Library science; Information retrieval; Computer science; Geography; Data mining","score_opus":0.02759632045067935,"score_gpt":0.26642881924692646,"score_spread":0.23883249879624713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4249146125","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97852474,0.0020088693,0.00014471379,0.0008588986,0.0023304482,0.00061521435,0.0011175118,0.00018137797,0.014218216],"genre_scores_gemma":[0.9974005,0.00045990356,0.00011977473,0.00017954856,0.0005602743,0.000024997393,0.0011263205,0.000031029736,0.00009764126],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997075,0.00018871065,0.00052426656,0.00062091474,0.0006009514,0.0009901348],"domain_scores_gemma":[0.9964556,0.00008063017,0.00022671236,0.00087324774,0.0006585922,0.0017052357],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0009864384,0.00028150895,0.0003889969,0.0028762391,0.00073405786,0.00011668921,0.0010830406,0.0002481295,0.00015201035],"category_scores_gemma":[0.0002931622,0.00031237872,0.00019750804,0.0051850784,0.0027579465,0.00095271,0.000045584573,0.00015360823,0.000004543377],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024172743,0.000038505616,0.9635327,0.000034727604,0.000090080954,0.000021716603,0.005930961,0.000005980038,0.000005960462,0.011350409,0.014251929,0.004712883],"study_design_scores_gemma":[0.000835773,0.00020880281,0.5899329,0.00009516565,0.00024147263,0.0000026550397,0.045148347,0.000050857776,0.000054296135,0.009781987,0.3526385,0.0010091692],"about_ca_topic_score_codex":0.9764988,"about_ca_topic_score_gemma":0.9994809,"teacher_disagreement_score":0.37359974,"about_ca_system_score_codex":0.000103020924,"about_ca_system_score_gemma":0.001165531,"threshold_uncertainty_score":0.99995595},"labels":[],"label_agreement":null},{"id":"W4249266632","doi":"10.1016/j.jth.2018.05.091","title":"Connecting Cycling to Transit: A Typology of Toronto Region Commuter Rail Passengers","year":2018,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Cycling; Transport engineering; Recreation; TRIPS architecture; Business; Service (business); Geography; Engineering; Marketing","score_opus":0.04705121575222858,"score_gpt":0.3712170402050039,"score_spread":0.3241658244527753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4249266632","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97793514,0.00074458594,0.007170023,0.0104236705,0.00082361,0.00022592771,0.000006670881,0.000023329963,0.0026470541],"genre_scores_gemma":[0.99589217,0.00030044385,0.0021229743,0.00093981274,0.00069292245,8.843195e-7,0.0000017489151,0.000014185644,0.000034871362],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977361,0.00020233447,0.001057224,0.00017340979,0.00040380048,0.00042715258],"domain_scores_gemma":[0.9983514,0.00011154473,0.0006236181,0.00018084941,0.00034862515,0.00038394693],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023106982,0.00012546848,0.0005624942,0.000069768124,0.0003907714,0.000011025568,0.00036300535,0.000122018944,0.0002828256],"category_scores_gemma":[0.000038499467,0.00011257881,0.00022572589,0.00017999567,0.00020465384,0.00038896312,0.000003345733,0.00024883347,0.0000017812682],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015478336,0.00062545977,0.63053256,0.00036838077,0.00019153976,0.00009672126,0.3128977,0.000042396,0.0013073819,0.0019301756,0.0014015392,0.049058303],"study_design_scores_gemma":[0.0026947986,0.0033510153,0.84577066,0.00092787173,0.0001928146,0.00003696277,0.039741196,0.00001460692,0.00127333,0.0011154066,0.10429873,0.00058262545],"about_ca_topic_score_codex":0.020699712,"about_ca_topic_score_gemma":0.1817551,"teacher_disagreement_score":0.27315652,"about_ca_system_score_codex":0.00022345473,"about_ca_system_score_gemma":0.00063382415,"threshold_uncertainty_score":0.98582155},"labels":[],"label_agreement":null},{"id":"W4249379106","doi":"10.32920/ryerson.14667990","title":"A Spatial Understanding of Well-Being in the City of Toronto","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Social capital; Context (archaeology); Variety (cybernetics); Relation (database); Regional science; Spatial contextual awareness; Human capital; Field (mathematics); Economic geography; Geography; Sociology; Social science; Economics; Economic growth; Statistics; Computer science","score_opus":0.06032815429834239,"score_gpt":0.32456816084303275,"score_spread":0.2642400065446904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4249379106","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65719897,0.00015358748,0.0042059473,0.00021666248,0.00022166267,0.00020760177,0.0000025637667,0.000009172124,0.3377838],"genre_scores_gemma":[0.9995165,0.00008417171,0.00015753199,0.000024839639,0.00007903269,0.000004129859,0.0000072594034,0.0000031158725,0.00012341487],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99868554,0.00019390612,0.00034792806,0.00021438673,0.00041091384,0.00014730384],"domain_scores_gemma":[0.9993603,0.00013783833,0.00016607504,0.0002608616,0.000051033436,0.000023870041],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001263598,0.000085803294,0.00026569815,0.000016384536,0.00007657535,0.00003931546,0.0004512523,0.00016562965,0.001863894],"category_scores_gemma":[0.000052414052,0.000064096996,0.00014026328,0.00008380463,0.00022080223,0.00010902643,0.000093643226,0.00019433374,1.3628161e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012795334,0.00012042825,0.89319605,0.00015818505,0.000020702764,0.0000036356448,0.08267668,0.0000059456347,0.000031141462,0.023438374,0.000017224582,0.0003188721],"study_design_scores_gemma":[0.00031490708,0.000023075729,0.75423276,0.0004244528,0.00007546802,5.214717e-8,0.1623289,0.00008011957,0.00081428105,0.081187956,0.00021638678,0.00030164458],"about_ca_topic_score_codex":0.52596164,"about_ca_topic_score_gemma":0.8244221,"teacher_disagreement_score":0.34231752,"about_ca_system_score_codex":0.00024222166,"about_ca_system_score_gemma":0.00032605656,"threshold_uncertainty_score":0.99904853},"labels":[],"label_agreement":null},{"id":"W4249662306","doi":"10.32920/ryerson.14651940","title":"Travel Lifestyles And The Built Environment: Exploring How Post-Secondary Students Navigate the GTHA","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Neighbourhood (mathematics); Built environment; Travel behavior; Geography; Modal; Population; Transport engineering; Psychology; Sociology; Engineering; Demography; Mathematics; Civil engineering","score_opus":0.04939847136236861,"score_gpt":0.2931644275401832,"score_spread":0.24376595617781457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4249662306","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9789512,0.0037316047,0.00006396309,0.012252419,0.00058100256,0.00077664945,0.000037544294,0.000049500723,0.0035560904],"genre_scores_gemma":[0.9916155,0.004076501,0.0000736168,0.00053794775,0.00037982222,0.00017515798,0.00003585747,0.00001946384,0.0030861867],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99739176,0.00046741444,0.00029552093,0.0006320481,0.0008400353,0.0003732195],"domain_scores_gemma":[0.9986994,0.0003030557,0.00017126281,0.000651485,0.000046232413,0.0001285356],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0018430416,0.0002807204,0.00038096533,0.000024038505,0.0010080104,0.0011255936,0.0013562589,0.00020093135,0.00060115097],"category_scores_gemma":[0.00006585248,0.00015460336,0.00023686337,0.00007619029,0.0014123324,0.00035420994,0.0007895424,0.00092993065,0.000007335058],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011854976,0.000315081,0.76483285,0.00025812868,0.0005778239,0.00006268095,0.20863456,0.000014831757,0.000121445846,0.002312714,0.0001837218,0.022567598],"study_design_scores_gemma":[0.00056301046,0.0000086673035,0.9509393,0.00007922081,0.00013242033,4.932964e-7,0.04360798,0.000006241676,0.0001726145,0.0015250802,0.0026742246,0.0002907359],"about_ca_topic_score_codex":0.011925676,"about_ca_topic_score_gemma":0.006323767,"teacher_disagreement_score":0.18610644,"about_ca_system_score_codex":0.00005450516,"about_ca_system_score_gemma":0.0002201704,"threshold_uncertainty_score":0.9999113},"labels":[],"label_agreement":null},{"id":"W4250088879","doi":"10.32920/ryerson.14657592","title":"Application of integrated land-use and transportation mode to Keele-Finch mobility hub in Toronto","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Zoning; Land use; Transit-oriented development; Census; Transport engineering; Transit (satellite); Finch; Mode (computer interface); Land Values; Business; Geography; Categorization; Regional science; Environmental planning; Computer science; Engineering; Civil engineering; Public transport; Sociology","score_opus":0.023891991388842636,"score_gpt":0.32807889649030664,"score_spread":0.304186905101464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4250088879","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9848954,0.00018648495,0.012344889,0.00014554795,0.000080363985,0.0009070839,0.00012989985,0.00005266196,0.0012576653],"genre_scores_gemma":[0.9973404,0.00010730176,0.0017138175,0.000038685146,0.000026915253,0.000117608484,0.0005216861,0.000007947044,0.00012568352],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99840796,0.000106890984,0.0004915046,0.000554606,0.00026440562,0.00017460696],"domain_scores_gemma":[0.99914026,0.00005973459,0.000118483316,0.00033004975,0.00024512113,0.00010637652],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005461327,0.00015264197,0.0003514613,0.000041733285,0.00005482139,0.00007280058,0.00020720837,0.00029607018,0.00022330803],"category_scores_gemma":[0.000053726057,0.00014726062,0.0000719667,0.0002034005,0.00010093939,0.00035757132,0.000021958049,0.00019258671,4.4569006e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043025648,0.0001934313,0.9825192,0.00012582637,0.000009998731,7.8747036e-7,0.010734666,0.00019601845,0.00024349158,0.0006794553,0.000007801578,0.005246279],"study_design_scores_gemma":[0.00013923159,0.000009068403,0.99384457,0.000055281034,0.000021429663,8.762022e-9,0.0036443751,0.0004592438,0.00042246305,0.0009933334,0.00024347432,0.0001675366],"about_ca_topic_score_codex":0.747346,"about_ca_topic_score_gemma":0.9370434,"teacher_disagreement_score":0.18969747,"about_ca_system_score_codex":0.0003247107,"about_ca_system_score_gemma":0.0003031924,"threshold_uncertainty_score":0.6005114},"labels":[],"label_agreement":null},{"id":"W4250214237","doi":"10.32920/ryerson.14645910","title":"A Resurrection Of Laneways: Toronto's Activation Of Public Space Through Lanes","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Downtown; Neglect; Space (punctuation); Public space; Sociology; Political science; Aesthetics; Public relations; History; Architectural engineering; Art; Engineering; Psychology; Archaeology; Computer science","score_opus":0.08155807483901592,"score_gpt":0.34520080218268967,"score_spread":0.2636427273436738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4250214237","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7491346,0.00038068075,0.0019864503,0.000666258,0.00055348146,0.00023860935,0.000011731097,0.00006514905,0.24696304],"genre_scores_gemma":[0.99693805,0.00027635336,0.0009613122,0.00001257223,0.00018011653,0.000008995177,0.000098419114,0.0000064796254,0.001517719],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99857503,0.00021293084,0.00033619325,0.00029288832,0.0004269469,0.00015602136],"domain_scores_gemma":[0.998848,0.000094593575,0.00035141254,0.00030885116,0.00035796553,0.000039159953],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006761554,0.00011122758,0.00031221326,0.00002600128,0.00008198551,0.000053585532,0.00024518807,0.00029520772,0.0017813644],"category_scores_gemma":[0.00020675079,0.00010309483,0.00013852929,0.00016192457,0.00015456488,0.00051219465,0.00006859,0.00016058372,6.423791e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000765543,0.00087895105,0.84471864,0.0013574185,0.0002651013,0.0000021096223,0.08109243,0.00005626616,0.0030330087,0.055893358,0.0016636405,0.010962542],"study_design_scores_gemma":[0.0007430494,0.000104260725,0.78530926,0.00089141156,0.00018339377,2.0388616e-7,0.105545856,0.000059436803,0.053764675,0.02832377,0.024114469,0.0009602281],"about_ca_topic_score_codex":0.32421318,"about_ca_topic_score_gemma":0.1464708,"teacher_disagreement_score":0.24780343,"about_ca_system_score_codex":0.00014607959,"about_ca_system_score_gemma":0.00050852937,"threshold_uncertainty_score":0.99913114},"labels":[],"label_agreement":null},{"id":"W4250306543","doi":"10.2466/pr0.97.7.739-749","title":"PREMATURE MORTALITY DUE TO SUICIDE, HOMICIDE, AND MOTOR VEHICLE ACCIDENTS IN HEALTH SERVICE DELIVERY AREAS: COMPARISON OF STATUS INDIANS IN BRITISH COLUMBIA, CANADA, WITH ALL OTHER RESIDENTS","year":2005,"lang":"en","type":"article","venue":"Psychological Reports","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Homicide; Occupational safety and health; Suicide prevention; Injury prevention; Poison control; Human factors and ergonomics; Medical emergency; Medicine; Psychology; Demography; Gerontology; Sociology","score_opus":0.03303362368995631,"score_gpt":0.3494519452081339,"score_spread":0.31641832151817756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4250306543","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974083,0.000483664,0.0000029373473,0.00071230414,0.000077214,0.00082055817,0.00004572938,0.000024615658,0.00042471787],"genre_scores_gemma":[0.99763244,0.00003413569,0.00019365788,0.0019377922,0.000033482556,0.000026438205,0.000014168042,0.000011208438,0.00011666453],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970669,0.00020887458,0.00091083546,0.0006097645,0.00062330253,0.0005803231],"domain_scores_gemma":[0.9987539,0.00006884157,0.00039479492,0.00029841103,0.00010038307,0.00038363552],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009776586,0.00012247649,0.0005136614,0.00004756535,0.00010482449,0.00010775155,0.00019861004,0.00016293868,0.0001678356],"category_scores_gemma":[0.00013316188,0.0001485785,0.000028919056,0.00048877334,0.00010347796,0.00022772954,0.000033635355,0.00028538503,6.3719386e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056680205,0.00039570295,0.99470335,0.000035339443,0.000009044785,0.0004342507,0.0016002851,0.000020552312,0.000016485687,7.7217584e-7,0.000542776,0.0021847857],"study_design_scores_gemma":[0.00036055263,0.00007576336,0.9977381,0.00019776355,0.000005760537,0.000008142581,0.00089330785,0.0000047445083,0.0000059005843,0.00017007442,0.000378576,0.00016127732],"about_ca_topic_score_codex":0.99466324,"about_ca_topic_score_gemma":0.9999221,"teacher_disagreement_score":0.0052588307,"about_ca_system_score_codex":0.00032248563,"about_ca_system_score_gemma":0.00039581076,"threshold_uncertainty_score":0.60588557},"labels":[],"label_agreement":null},{"id":"W4250393371","doi":"10.32920/14638236","title":"School travel and children’s physical activity: a cross-sectional study examining the influence of distance","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University; Dalhousie University; University of Toronto","funders":"Canadian Institutes of Health Research; Heart and Stroke Foundation of Canada","keywords":"Neighbourhood (mathematics); Physical activity; Socioeconomic status; Cross-sectional study; Psychology; Geography; Demography; Medicine; Physical therapy; Sociology; Statistics; Mathematics","score_opus":0.03860898888037632,"score_gpt":0.3468517090980484,"score_spread":0.3082427202176721,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4250393371","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976887,0.00005270398,0.00019012035,0.00004352432,0.00010498166,0.000621727,0.000031947053,0.00003146791,0.0012348222],"genre_scores_gemma":[0.999347,0.000011496437,0.00002679735,0.000015757698,0.00021041882,0.000048412454,0.000005212427,0.0000074345353,0.0003274881],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981964,0.00019566852,0.00022718731,0.0005807326,0.0006034299,0.00019656616],"domain_scores_gemma":[0.9990251,0.00018342906,0.00018758244,0.0003585865,0.0001568524,0.000088465385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007265713,0.00016708976,0.0003085916,0.00002475486,0.00044007745,0.0003573224,0.00042463033,0.00012899039,0.00008238904],"category_scores_gemma":[0.00016708006,0.00012196848,0.000092206385,0.00016809709,0.0007520091,0.0002955434,0.00021890162,0.0006155403,7.4420336e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001812343,0.00040699507,0.99181736,0.000020293654,0.000053831434,0.000001287006,0.007028037,0.00007488196,0.0000676101,0.0001214073,0.0000011260493,0.00038907857],"study_design_scores_gemma":[0.0001600519,0.00002059078,0.99712396,0.000024056588,0.000028522527,1.2809816e-7,0.0020679159,0.000018170893,0.000057676618,0.00035974826,0.0000021309563,0.00013705798],"about_ca_topic_score_codex":0.013787829,"about_ca_topic_score_gemma":0.00818684,"teacher_disagreement_score":0.005600989,"about_ca_system_score_codex":0.00006117163,"about_ca_system_score_gemma":0.00043439158,"threshold_uncertainty_score":0.99277943},"labels":[],"label_agreement":null},{"id":"W4251154018","doi":"10.32920/ryerson.14667990.v1","title":"A Spatial Understanding of Well-Being in the City of Toronto","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Social capital; Context (archaeology); Variety (cybernetics); Relation (database); Spatial contextual awareness; Human capital; Regional science; Well-being; Field (mathematics); Geography; Economic geography; Sociology; Psychology; Economics; Social science; Economic growth; Statistics; Computer science","score_opus":0.06032815429834239,"score_gpt":0.32456816084303275,"score_spread":0.2642400065446904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4251154018","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65719897,0.00015358748,0.0042059473,0.00021666248,0.00022166267,0.00020760177,0.0000025637667,0.000009172124,0.3377838],"genre_scores_gemma":[0.9995165,0.00008417171,0.00015753199,0.000024839639,0.00007903269,0.000004129859,0.0000072594034,0.0000031158725,0.00012341487],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99868554,0.00019390612,0.00034792806,0.00021438673,0.00041091384,0.00014730384],"domain_scores_gemma":[0.9993603,0.00013783833,0.00016607504,0.0002608616,0.000051033436,0.000023870041],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001263598,0.000085803294,0.00026569815,0.000016384536,0.00007657535,0.00003931546,0.0004512523,0.00016562965,0.001863894],"category_scores_gemma":[0.000052414052,0.000064096996,0.00014026328,0.00008380463,0.00022080223,0.00010902643,0.000093643226,0.00019433374,1.3628161e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012795334,0.00012042825,0.89319605,0.00015818505,0.000020702764,0.0000036356448,0.08267668,0.0000059456347,0.000031141462,0.023438374,0.000017224582,0.0003188721],"study_design_scores_gemma":[0.00031490708,0.000023075729,0.75423276,0.0004244528,0.00007546802,5.214717e-8,0.1623289,0.00008011957,0.00081428105,0.081187956,0.00021638678,0.00030164458],"about_ca_topic_score_codex":0.52596164,"about_ca_topic_score_gemma":0.8244221,"teacher_disagreement_score":0.34231752,"about_ca_system_score_codex":0.00024222166,"about_ca_system_score_gemma":0.00032605656,"threshold_uncertainty_score":0.99904853},"labels":[],"label_agreement":null},{"id":"W4251537446","doi":"10.1371/journal.pone.0091485","title":"Correction: Density, Destinations or Both? A Comparison of Measures of Walkability in Relation to Transportation Behaviors, Obesity and Diabetes in Toronto, Canada","year":2014,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Walkability; Obesity; Diabetes mellitus; Destinations; Relation (database); Environmental health; Medicine; Gerontology; Geography; Physical activity; Computer science; Internal medicine; Endocrinology; Data mining; Physical therapy","score_opus":0.04453870446143248,"score_gpt":0.2857216802943118,"score_spread":0.2411829758328793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4251537446","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992122,0.000038646376,0.000038270617,0.00009200796,0.000047455924,0.00030268135,0.000009851864,0.000009977905,0.00024887722],"genre_scores_gemma":[0.9995829,0.0000035636917,0.00034176197,0.0000063098073,0.000011445261,0.000012265253,0.000011182055,0.000002740123,0.000027821257],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989381,0.00012303585,0.0003427126,0.00014907544,0.0003367719,0.000110350134],"domain_scores_gemma":[0.9994461,0.00017745972,0.000099948345,0.00008769132,0.00013479264,0.00005402491],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000564747,0.000055725646,0.00023538277,0.000035823203,0.0000689051,0.000005800096,0.000066697154,0.00005618947,0.00004108233],"category_scores_gemma":[0.00033537397,0.000057399313,0.00001339921,0.00023419064,0.00007585168,0.00018115032,0.0000031797902,0.00006839705,6.156878e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023727309,0.0007121311,0.99346733,0.000049453123,0.000003909081,1.18438095e-7,0.0038758754,0.000015784004,0.0010997767,0.00006089492,0.000008799696,0.0006821701],"study_design_scores_gemma":[0.00014361914,0.00004694253,0.99414337,0.000099606026,0.00003219925,2.7316653e-9,0.0007959145,0.00023455756,0.004333794,0.000107698565,0.0000028493523,0.000059435875],"about_ca_topic_score_codex":0.87372667,"about_ca_topic_score_gemma":0.9994317,"teacher_disagreement_score":0.12570505,"about_ca_system_score_codex":0.00028239394,"about_ca_system_score_gemma":0.00019387441,"threshold_uncertainty_score":0.2340676},"labels":[],"label_agreement":null},{"id":"W4251688593","doi":"10.1007/bf03405633","title":"Classifying Neighbourhoods by Level of Access to Stores Selling Fresh Fruit and Vegetables and Groceries: Identifying Problematic Areas in the City of Gatineau, Quebec","year":2012,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Geography; Census; Population; Food security; Social deprivation; Socioeconomics; Food insecurity; Business; Demography; Economic growth; Agriculture; Sociology; Economics","score_opus":0.26975445379024876,"score_gpt":0.3795550856446553,"score_spread":0.10980063185440653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4251688593","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98677725,0.0036993325,0.0013545022,0.007521589,0.0001108898,0.00025172174,0.000041485222,0.0000020973134,0.0002411292],"genre_scores_gemma":[0.9990427,0.00010309918,0.0003703846,0.00034965563,0.00009578325,0.0000028794345,0.0000018002072,0.000006588172,0.000027113187],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99796474,0.0003496015,0.0006891769,0.00010804064,0.0003355057,0.00055290945],"domain_scores_gemma":[0.99792546,0.00022035783,0.00054181996,0.000103429644,0.00018419737,0.0010247207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006097673,0.00009684104,0.00035107613,0.00026812818,0.00034422777,0.00023620065,0.00040338043,0.00006429618,0.000058529415],"category_scores_gemma":[0.0005856761,0.000075333584,0.00003683442,0.0005229922,0.000290192,0.0013997772,0.000013275213,0.00022642134,7.666494e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000023614912,0.00002299505,0.93271476,0.00032526438,0.0000115413495,9.699011e-7,0.062460065,0.0000013217599,0.000014393151,0.0009144701,0.00040979742,0.0031220682],"study_design_scores_gemma":[0.00016995471,0.00002929362,0.97553533,0.00028558727,0.000009133233,0.000002202926,0.021510348,0.0000057152565,0.000020550351,0.00093515695,0.0014206102,0.000076122225],"about_ca_topic_score_codex":0.53315854,"about_ca_topic_score_gemma":0.92390347,"teacher_disagreement_score":0.39074495,"about_ca_system_score_codex":0.0002276168,"about_ca_system_score_gemma":0.0034564936,"threshold_uncertainty_score":0.61316717},"labels":[],"label_agreement":null},{"id":"W4251754565","doi":"10.1007/978-981-287-035-3_7","title":"Hazards of Safety: Transportation Externalities and the Rights of Children","year":2016,"lang":"en","type":"book-chapter","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Harm; Externality; Pedestrian; Business; Perception; Risk perception; Environmental planning; Public economics; Environmental health; Transport engineering; Geography; Psychology; Medicine; Engineering; Economics; Social psychology","score_opus":0.00998897047585002,"score_gpt":0.2455670715109954,"score_spread":0.2355781010351454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4251754565","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030834949,0.0010023797,0.00017556481,0.00035639823,0.00009510909,0.0003823251,0.00038863468,0.000019553641,0.9667451],"genre_scores_gemma":[0.65978825,0.00033256158,0.000024062023,0.000012932,0.00009689641,0.0000013707154,0.000013461509,0.000005967197,0.3397245],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989479,0.000027358883,0.00041102592,0.00016167341,0.0003563939,0.00009561901],"domain_scores_gemma":[0.9993024,0.00012014413,0.00028120738,0.00016122631,0.00009987425,0.000035151308],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00045441347,0.00012002475,0.00034222464,0.0000368385,0.000126847,0.000009118301,0.00019951553,0.00015573158,0.0016751051],"category_scores_gemma":[0.0000044075186,0.00006156328,0.0001539493,0.000013978316,0.0016831739,0.00011165325,0.000003699773,0.00007414875,0.0000016664475],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000100879784,0.000005654751,0.009890976,0.000025383684,0.000066050816,2.9844418e-7,0.0030524563,2.8481509e-8,0.0000014868676,0.9832729,0.000046065783,0.0035377827],"study_design_scores_gemma":[0.001241964,0.00002735136,0.11808906,0.00030528416,0.0002524235,9.7549425e-8,0.00010731963,1.9223243e-7,0.0001840149,0.8567531,0.022797406,0.0002418028],"about_ca_topic_score_codex":0.005468916,"about_ca_topic_score_gemma":0.020630639,"teacher_disagreement_score":0.6289533,"about_ca_system_score_codex":0.000011661691,"about_ca_system_score_gemma":0.000087251865,"threshold_uncertainty_score":0.9992375},"labels":[],"label_agreement":null},{"id":"W4251799996","doi":"10.32920/ryerson.14655192.v1","title":"Commuting for work and neighbourhood energy consumption","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"TRIPS architecture; Work (physics); Energy consumption; Neighbourhood (mathematics); Transport engineering; Plan (archaeology); Consumption (sociology); Business; Greenhouse gas; Geography; Engineering; Sociology","score_opus":0.05379587276635164,"score_gpt":0.32752213910217326,"score_spread":0.27372626633582164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4251799996","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9500249,0.0018186556,0.0194079,0.0011779928,0.00075177924,0.00031742404,0.000016154201,0.00014429027,0.026340915],"genre_scores_gemma":[0.9962856,0.00020456426,0.0019958974,0.00019621095,0.00021878595,0.000036257385,0.000087190514,0.000008123028,0.00096734025],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99905264,0.00007962549,0.00019785752,0.00032289818,0.00013831376,0.00020864286],"domain_scores_gemma":[0.9993632,0.00017880443,0.00009713396,0.00018762102,0.00009026548,0.00008297415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044583203,0.00011057655,0.00020681648,0.000024544644,0.00037287618,0.00026974635,0.00017434967,0.00020191587,0.0007485297],"category_scores_gemma":[0.000056371642,0.00010897805,0.000096319185,0.000058694208,0.0001696032,0.000085585634,0.00011879907,0.00016388024,4.6144655e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014944912,0.000054764918,0.95572776,0.00014243451,0.000041159565,0.0000020009347,0.004030763,0.0000044280764,0.0000053466897,0.014079121,0.00023122162,0.025666038],"study_design_scores_gemma":[0.0008483408,0.000022512253,0.94094193,0.0005032604,0.00024038683,2.1671684e-7,0.006639881,0.00016823603,0.00038245288,0.029502405,0.01965593,0.001094428],"about_ca_topic_score_codex":0.0042756475,"about_ca_topic_score_gemma":0.01593581,"teacher_disagreement_score":0.04626074,"about_ca_system_score_codex":0.00003993169,"about_ca_system_score_gemma":0.00015983247,"threshold_uncertainty_score":0.88925564},"labels":[],"label_agreement":null},{"id":"W4251898147","doi":"10.32920/ryerson.14646282.v1","title":"Children's activity and transportation choices: exploring socio-demographic correlates and health outcomes","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Physical activity; Cluster (spacecraft); Athletes; Psychology; Health benefits; Gerontology; Medicine; Physical therapy; Computer science","score_opus":0.06660352813081992,"score_gpt":0.32903125212729994,"score_spread":0.26242772399648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4251898147","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9936443,0.0019105066,0.00041448764,0.0025543638,0.00043860907,0.00055853033,0.000040589537,0.0001900727,0.00024856036],"genre_scores_gemma":[0.99401104,0.00508878,0.00026978628,0.00013992419,0.00013203711,0.000052573854,0.00011872309,0.000017000017,0.00017012913],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980702,0.00013989159,0.00034083292,0.00073363184,0.0003568604,0.00035861702],"domain_scores_gemma":[0.99913126,0.00010124492,0.00024328874,0.00022259117,0.00006185778,0.00023974919],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007734468,0.0002736748,0.00056081696,0.000100525314,0.000696529,0.0002754619,0.00017041153,0.00029327412,0.000075935495],"category_scores_gemma":[0.000016510325,0.0002551791,0.00016480334,0.0001781221,0.00038072636,0.00063085486,0.000039628674,0.00059261353,4.135845e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000044900066,0.000059348513,0.9809963,0.00014132766,0.00007221288,0.0000015000414,0.011053053,0.0000027009391,0.000001513128,0.00025691136,0.0000073619094,0.0074032485],"study_design_scores_gemma":[0.0002044342,0.000013747418,0.9955823,0.00010136942,0.000057067355,8.251851e-8,0.0026410823,0.0000090610565,0.000007094044,0.001086392,0.000033710006,0.00026365585],"about_ca_topic_score_codex":0.046063114,"about_ca_topic_score_gemma":0.08804968,"teacher_disagreement_score":0.041986562,"about_ca_system_score_codex":0.000058145564,"about_ca_system_score_gemma":0.00030688551,"threshold_uncertainty_score":0.99999005},"labels":[],"label_agreement":null},{"id":"W4252212064","doi":"10.1002/9781118786352.wbieg0183","title":"Road Transport","year":2017,"lang":"en","type":"other","venue":"International Encyclopedia of Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Transport engineering; Destinations; Investment (military); Greenhouse gas; Business; Settlement (finance); Public transport; Environmental planning; Natural resource economics; Tourism; Geography; Engineering; Economics; Finance; Ecology; Political science","score_opus":0.010540636663817216,"score_gpt":0.29145649405821983,"score_spread":0.2809158573944026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252212064","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010809777,0.00074014673,0.000049778744,0.00022884185,0.0027146607,0.00021878586,0.00031632406,0.00012816052,0.99452233],"genre_scores_gemma":[0.04986967,0.006007565,0.00031147664,0.000036333346,0.0016878998,0.000022140392,0.00019714612,0.00011085181,0.9417569],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984764,0.000026514126,0.00025418875,0.00031841407,0.00071222585,0.00021225595],"domain_scores_gemma":[0.998957,0.000019194234,0.0004592752,0.00035741748,0.00010847536,0.00009865097],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002293295,0.00018221624,0.00028741625,0.0004006416,0.00011496989,0.000023293644,0.0012136867,0.00029486712,0.007553745],"category_scores_gemma":[0.000041701827,0.0001830055,0.0003576722,0.00008630467,0.0006257325,0.00014390734,0.000018670351,0.00016690233,0.00003290924],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001535226,0.00013592637,0.8425757,0.000038507183,0.00023397148,0.000016895834,0.00045394525,1.723351e-7,6.0434843e-7,0.0010483408,0.13206841,0.023412177],"study_design_scores_gemma":[0.0001373709,0.0000065173663,0.1751764,0.00011971737,0.00003605345,5.5094226e-8,0.000024225577,1.8314896e-7,8.7370074e-7,0.0005033205,0.8238409,0.00015434148],"about_ca_topic_score_codex":0.040062647,"about_ca_topic_score_gemma":0.022409491,"teacher_disagreement_score":0.6917725,"about_ca_system_score_codex":0.000016423583,"about_ca_system_score_gemma":0.00016285575,"threshold_uncertainty_score":0.995429},"labels":[],"label_agreement":null},{"id":"W4252268304","doi":"10.32920/14648502","title":"Does Subway Station Proximity Spur Residential Development? Analyzing the Impact of the Sheppard Subway Line on Housing Development in the City of Toronto","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Kilometer; Pace; Geography; Transport engineering; Residential area; Scale (ratio); Significant difference; Engineering; Civil engineering; Statistics; Mathematics; Cartography; Geodesy","score_opus":0.0413912103250557,"score_gpt":0.3399982897031151,"score_spread":0.29860707937805936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252268304","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995185,0.00016165095,0.0006851062,0.00043131306,0.00036951216,0.0010842781,0.000015074206,0.000022347822,0.0020456878],"genre_scores_gemma":[0.99864143,0.000071280054,0.00087728834,0.00002584839,0.000117974654,0.000035554014,0.000040727078,0.00001147191,0.00017843535],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9962216,0.0008352907,0.0010066668,0.00049693417,0.0010689531,0.0003705799],"domain_scores_gemma":[0.99798083,0.0002794825,0.0006862824,0.00066083315,0.00034238124,0.000050214017],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00444368,0.0002826038,0.000455227,0.00004764967,0.0005967151,0.00021769348,0.001279657,0.00022745301,0.00043233475],"category_scores_gemma":[0.0002826244,0.000111975765,0.00030328913,0.00035913623,0.0003205916,0.00031890892,0.0002847988,0.00051410985,3.860496e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000078740806,0.0002687708,0.9213272,0.00010502655,0.00012021157,0.0000015682077,0.07352037,0.00026790917,0.00015742035,0.00008818483,0.000026068692,0.004038572],"study_design_scores_gemma":[0.00015070183,0.000011169111,0.9829708,0.00023539293,0.00003700394,3.2637676e-8,0.0057409955,0.0000225588,0.010166668,0.00040882398,0.000073597876,0.00018227809],"about_ca_topic_score_codex":0.15634406,"about_ca_topic_score_gemma":0.7228231,"teacher_disagreement_score":0.566479,"about_ca_system_score_codex":0.00083498284,"about_ca_system_score_gemma":0.0032066137,"threshold_uncertainty_score":0.8492739},"labels":[],"label_agreement":null},{"id":"W4252291839","doi":"10.1108/hrmid-03-2017-0050","title":"Commuters on bikes arrive at work much less stressed than drivers","year":2017,"lang":"en","type":"article","venue":"Human Resource Management International Digest","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Originality; Globe; Context (archaeology); Work (physics); Value (mathematics); Reading (process); Marketing; Business; Operations management; Computer science; Psychology; Engineering; Political science; Geography; Social psychology","score_opus":0.05102946142065588,"score_gpt":0.32585828094671837,"score_spread":0.2748288195260625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252291839","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.54283726,0.000005138754,0.000007767775,0.0016119956,0.0002405558,0.00017749738,0.000014715244,0.000058994952,0.4550461],"genre_scores_gemma":[0.9496266,0.000018864412,0.000032288433,0.000253574,0.0002677089,0.00002327043,0.00010684892,0.000015416748,0.049655434],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99822587,0.00005782606,0.00021954115,0.00040273892,0.0007788792,0.00031517568],"domain_scores_gemma":[0.998905,0.000057121248,0.00025365117,0.00061451923,0.000053437776,0.00011628428],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0003041403,0.0001719097,0.00014546076,0.00013826431,0.0020492729,0.0005917749,0.0018974963,0.00006543375,0.0004888615],"category_scores_gemma":[0.000021552853,0.00017153368,0.00013015213,0.000061164625,0.0005415836,0.00026110088,0.00029273872,0.00014804742,0.00011959615],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007515477,0.0001860803,0.91636384,0.000013911683,0.00013980732,0.000062115,0.0031556175,0.00003869804,0.000007953895,0.067676336,0.010215123,0.002065392],"study_design_scores_gemma":[0.00044913832,0.000017023145,0.7851837,0.000106235006,0.000022608008,3.263765e-8,0.0036587643,0.0000024308463,0.000035468056,0.0006994035,0.20964047,0.00018468469],"about_ca_topic_score_codex":0.0010260625,"about_ca_topic_score_gemma":0.0046955287,"teacher_disagreement_score":0.40678933,"about_ca_system_score_codex":0.00027230586,"about_ca_system_score_gemma":0.000008151021,"threshold_uncertainty_score":0.99924994},"labels":[],"label_agreement":null},{"id":"W4252428084","doi":"10.1016/j.jth.2018.05.051","title":"Estimating the Health Benefits of a Proposed Regional Transportation Plan","year":2018,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Public Health; Barrie Urology Group; Public Health Ontario","funders":"","keywords":"Census; Population; TRIPS architecture; Transit (satellite); Investment (military); Public transport; Estimation; Business; Geography; Public health; Government (linguistics); Environmental health; Population health; Transport engineering; Medicine; Economics; Engineering; Political science","score_opus":0.06208897135923124,"score_gpt":0.3552411720509371,"score_spread":0.29315220069170583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252428084","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9728553,0.001064284,0.0032292523,0.021599485,0.0005511786,0.00041815627,0.000047463793,0.000022646982,0.00021221506],"genre_scores_gemma":[0.9926217,0.0001768438,0.0052724183,0.00099188,0.0008662472,0.0000014665234,0.000018701814,0.000013297832,0.000037452188],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968427,0.00017998183,0.0014299535,0.0001762505,0.00094690523,0.00042423102],"domain_scores_gemma":[0.99738985,0.00008049301,0.0016107572,0.0001720993,0.00044093424,0.00030587867],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037032813,0.00013730583,0.0004891389,0.000107946966,0.00074748904,0.000014934343,0.0004322833,0.00007653074,0.00009690064],"category_scores_gemma":[0.000021305643,0.00009551719,0.00021668109,0.00043418186,0.00051398645,0.0003528506,0.000001103831,0.00032552375,0.000001238515],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00066996965,0.00052037794,0.8147692,0.00049579656,0.000082274564,0.0000069259418,0.13783552,0.00027305272,0.000030917967,0.0040376745,0.0014978963,0.039780412],"study_design_scores_gemma":[0.00071395247,0.0009831095,0.98759514,0.0004868804,0.000035984824,0.00000408735,0.002226838,0.00003678713,0.00005147425,0.0011904223,0.006553439,0.0001218711],"about_ca_topic_score_codex":0.0055766334,"about_ca_topic_score_gemma":0.029637208,"teacher_disagreement_score":0.17282596,"about_ca_system_score_codex":0.00013295768,"about_ca_system_score_gemma":0.0029046373,"threshold_uncertainty_score":0.98806936},"labels":[],"label_agreement":null},{"id":"W4252461753","doi":"10.1007/s11695-016-2512-6","title":"Erratum to: Effects of Neighborhood Walkability on Physical Activity and Sedentary Behavior Long-Term Post-Bariatric Surgery","year":2016,"lang":"en","type":"erratum","venue":"Obesity Surgery","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University Health Centre; McGill University","funders":"","keywords":"Medicine; Walkability; Term (time); Sedentary behavior; Physical activity; Gerontology; Physical therapy; General surgery","score_opus":0.014442354130489471,"score_gpt":0.2787317236003241,"score_spread":0.2642893694698346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252461753","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9751617,0.00039384872,0.000009501779,0.00044210904,0.020220578,0.0011463355,0.00030579502,0.00015557124,0.0021645876],"genre_scores_gemma":[0.9884552,0.00031983282,0.0000025653712,0.00011654174,0.002743168,0.00008863784,0.0001879921,0.00006427242,0.008021792],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9947128,0.0009302873,0.00061930093,0.0013860207,0.0013477949,0.0010037483],"domain_scores_gemma":[0.992552,0.004856819,0.00061070465,0.0010128167,0.00031791322,0.00064976374],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0016313442,0.0007140375,0.002024518,0.0004956666,0.00055423146,0.00012913931,0.00050567393,0.0009571476,0.00015018175],"category_scores_gemma":[0.0011793062,0.0006192799,0.0010988609,0.0007456628,0.00064725865,0.0006001865,0.0001667717,0.0010235653,0.000039581104],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016892464,0.002496916,0.89981365,0.0011143571,0.00007817271,0.00012936787,0.00045640432,1.4903573e-8,0.00017930362,0.000012785727,0.07992721,0.015622863],"study_design_scores_gemma":[0.0001312558,0.00007119316,0.99664265,0.00062499446,0.000340165,6.025493e-7,0.000018003488,2.1078466e-7,0.0006180952,0.00012465847,0.00073596166,0.0006922232],"about_ca_topic_score_codex":0.0043975315,"about_ca_topic_score_gemma":0.0032944889,"teacher_disagreement_score":0.09682896,"about_ca_system_score_codex":0.00037428178,"about_ca_system_score_gemma":0.0019178144,"threshold_uncertainty_score":0.99962586},"labels":[],"label_agreement":null},{"id":"W4252488977","doi":"10.32920/ryerson.14668080","title":"The place for immigrants in Toronto's transit and transportation city","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Trent University; Toronto Metropolitan University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Public transport; Immigration; Demographics; Limiting; Transit (satellite); Work (physics); Public policy; Economic Justice; Sociology; Geography; Regional science; Business; Political science; Public relations; Transport engineering; Economic growth; Engineering; Economics","score_opus":0.025333899949715282,"score_gpt":0.32256784023101476,"score_spread":0.29723394028129946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252488977","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9876982,0.0024015994,0.0017234151,0.0016415187,0.00037791018,0.00095118466,0.00006466817,0.000040758918,0.005100763],"genre_scores_gemma":[0.99732494,0.0009536179,0.00033196903,0.000058943635,0.00008553135,0.0001006128,0.00008276827,0.000007572661,0.0010540186],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987428,0.00007932263,0.00030731078,0.00039311743,0.00022082803,0.0002566011],"domain_scores_gemma":[0.9993955,0.00020721563,0.00007087154,0.00017709423,0.000081211416,0.000068140136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093919673,0.00013525887,0.00022650923,0.00001140548,0.00036179755,0.00017805486,0.00023611505,0.00025025802,0.00020419098],"category_scores_gemma":[0.000030113284,0.0001044051,0.00012359435,0.000059642585,0.00016732927,0.00021268544,0.0000066803764,0.00018992346,1.1902993e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003739312,0.00025051605,0.8132958,0.00047443275,0.00009884437,0.000010927145,0.13560864,0.000050135848,0.000053420135,0.006630817,0.0003415815,0.042810995],"study_design_scores_gemma":[0.00039957266,0.000009839467,0.970172,0.00006224205,0.000041589785,1.8518485e-8,0.023422033,0.000066478235,0.00007335763,0.0022508465,0.003285912,0.00021611314],"about_ca_topic_score_codex":0.28155804,"about_ca_topic_score_gemma":0.9835459,"teacher_disagreement_score":0.70198786,"about_ca_system_score_codex":0.00014076493,"about_ca_system_score_gemma":0.00028107534,"threshold_uncertainty_score":0.72322613},"labels":[],"label_agreement":null},{"id":"W4253006428","doi":"10.32920/ryerson.14667930","title":"Spatial accessibility to mental health care in the City of Toronto","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University; McGill University","funders":"","keywords":"Mental health; Public health; Service delivery framework; Health care; Service (business); Geography; Business; Medicine; Environmental health; Nursing; Political science; Psychiatry; Marketing","score_opus":0.03477332775353891,"score_gpt":0.375899581466587,"score_spread":0.34112625371304806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4253006428","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9610455,0.0017293819,0.00019096663,0.003295981,0.0006900688,0.0012844498,0.00010940979,0.000030792948,0.031623423],"genre_scores_gemma":[0.9984077,0.00008640161,0.00043518568,0.00062536204,0.00017861873,0.000037980622,0.00012483912,0.0000055472137,0.000098367535],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972589,0.00056675455,0.0005667835,0.0005865182,0.0006936617,0.00032737656],"domain_scores_gemma":[0.9988386,0.000055649634,0.00018175718,0.00065381883,0.00014200508,0.00012815694],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0017156694,0.00016908946,0.00043385444,0.00001850174,0.00023352948,0.00012527971,0.0010693329,0.00019334217,0.0020277575],"category_scores_gemma":[0.00007076059,0.00012529419,0.00018547736,0.00013472,0.00015902704,0.00018729562,0.00031488948,0.00030768005,8.2087394e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003400811,0.00019468075,0.76314414,0.00016171725,0.000008672574,0.0000012046669,0.22532246,0.0000012015679,0.0000031757181,0.00011190465,0.00022513862,0.010791695],"study_design_scores_gemma":[0.00011948458,0.000029824972,0.93475807,0.000067948014,0.0000059583394,1.565228e-8,0.062995054,0.0000016344886,0.00006174809,0.0001655004,0.001653265,0.00014147941],"about_ca_topic_score_codex":0.79950994,"about_ca_topic_score_gemma":0.9815968,"teacher_disagreement_score":0.18208686,"about_ca_system_score_codex":0.0008746197,"about_ca_system_score_gemma":0.0017071607,"threshold_uncertainty_score":0.9988845},"labels":[],"label_agreement":null},{"id":"W4253009283","doi":"10.1007/bf03403732","title":"Measuring and Mapping Disparities in Access to Fresh Fruits and Vegetables in Montréal","year":2008,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":43,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Geography; Population; Sustainability; Agricultural economics; Georeference; Index (typography); Business; Agricultural science; Census; Socioeconomics; Environmental health; Economics; Environmental science; Medicine; Biology; Ecology","score_opus":0.15758108393463738,"score_gpt":0.30747850665323895,"score_spread":0.14989742271860157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4253009283","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97001576,0.0063868086,0.000044919427,0.022769118,0.000112877,0.00011712938,0.0000055794294,0.0000027661738,0.00054501183],"genre_scores_gemma":[0.99847525,0.000502914,0.00011776686,0.00077336695,0.00009165352,0.0000017021698,4.203478e-7,0.0000043338773,0.00003259416],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986491,0.00015936838,0.0003641621,0.00011496911,0.00017710225,0.0005352737],"domain_scores_gemma":[0.99827003,0.000053269207,0.000094282914,0.00005226475,0.000074454016,0.0014556859],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022814623,0.000064480875,0.00022655794,0.00052667304,0.0003526916,0.00017668697,0.00019504367,0.000048242724,0.000018095621],"category_scores_gemma":[0.00036978934,0.000064686,0.000016075983,0.00043465625,0.00016208999,0.0009175048,0.000009848164,0.00020667729,2.1612443e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000001163651,0.000006448917,0.977916,0.000023046492,0.0000021254662,0.000057854195,0.016022291,0.0000033769022,5.915882e-7,0.00027257678,0.0003005022,0.0053939936],"study_design_scores_gemma":[0.00019786977,0.00001380786,0.9874475,0.000092474285,4.991858e-7,0.0000057125626,0.0028308749,0.0000038525704,6.0756787e-7,0.0004008459,0.008944232,0.00006172447],"about_ca_topic_score_codex":0.67982167,"about_ca_topic_score_gemma":0.98701435,"teacher_disagreement_score":0.30719268,"about_ca_system_score_codex":0.00038926062,"about_ca_system_score_gemma":0.0043207887,"threshold_uncertainty_score":0.7664894},"labels":[],"label_agreement":null},{"id":"W4253043997","doi":"10.32920/ryerson.14640003.v1","title":"Toronto: planning for diversity, inclusion and urban resilience","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Metropolitan area; Diversity (politics); Settlement (finance); Immigration; Psychological resilience; Inclusion (mineral); Work (physics); Geography; Political science; Economic growth; Global city; Economic geography; Resilience (materials science); Urbanization; Development economics; Sociology; Business; Gender studies","score_opus":0.038169665721123826,"score_gpt":0.3431166236426073,"score_spread":0.30494695792148346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4253043997","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96030825,0.0030406436,0.0023563893,0.00046926813,0.0005665673,0.00046074847,0.000017992617,0.00009384201,0.03268631],"genre_scores_gemma":[0.99546766,0.0001290689,0.0014192056,0.00011181991,0.0002280555,0.00000966991,0.00003401867,0.000005028393,0.0025954721],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987667,0.00005282375,0.0001511618,0.00047402625,0.0003294209,0.0002258207],"domain_scores_gemma":[0.9994003,0.000103683225,0.000079007936,0.0001944902,0.0001069642,0.00011553375],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0006223095,0.00011821976,0.00020014499,0.000014693778,0.0023166062,0.00014951004,0.00043541187,0.00024146451,0.00028438735],"category_scores_gemma":[0.000077980476,0.00011492385,0.000083359795,0.00004129986,0.00018488642,0.00029468077,0.004759651,0.00014625692,2.6480407e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002166408,0.000039077484,0.88504624,0.00012268586,0.000014245574,0.0000059368563,0.11073891,0.0000057205875,0.00001883934,0.00087007787,0.0013253232,0.0017912795],"study_design_scores_gemma":[0.00071331405,0.00006837912,0.9034711,0.00056851964,0.00018267143,1.7781427e-7,0.046919134,0.00050072005,0.0002485221,0.024895333,0.021312617,0.0011195153],"about_ca_topic_score_codex":0.035309143,"about_ca_topic_score_gemma":0.056730267,"teacher_disagreement_score":0.06381977,"about_ca_system_score_codex":0.00015340919,"about_ca_system_score_gemma":0.00020868688,"threshold_uncertainty_score":0.99898225},"labels":[],"label_agreement":null},{"id":"W4253106346","doi":"10.32920/ryerson.14662812","title":"Why don't we bike to the Go? Exploring the potential for cycling to suburban transit stations","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; University of Waterloo","funders":"","keywords":"Cycling; Recreation; Transport engineering; Mile; Transit (satellite); Perception; Typology; Geography; Engineering; Public transport; Psychology; Forestry; Political science","score_opus":0.086318953034884,"score_gpt":0.3321806256043063,"score_spread":0.24586167256942226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4253106346","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5690656,0.00025818584,0.2874923,0.13471138,0.0030909113,0.002592803,0.00013756024,0.00016608801,0.0024851807],"genre_scores_gemma":[0.9888633,0.000114885304,0.0031287745,0.0025893394,0.0012443245,0.00092980516,0.000060670205,0.000027721551,0.003041174],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977331,0.00016555504,0.00042315334,0.0006433893,0.0005420939,0.0004927114],"domain_scores_gemma":[0.9985974,0.00026264024,0.00007581156,0.00061063294,0.00025425112,0.00019929347],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0011998167,0.00022529607,0.00027598502,0.00007274181,0.0014643705,0.00074553845,0.0011021752,0.00012984709,0.00048075107],"category_scores_gemma":[0.00011439097,0.00014200555,0.0003761066,0.00045287903,0.00011154556,0.00024209417,0.00014331352,0.00039796182,0.000011748502],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033363895,0.0006273594,0.017307963,0.00061661593,0.00074831984,0.000029090037,0.73815703,0.073228024,0.0014189957,0.012003014,0.073944286,0.08158566],"study_design_scores_gemma":[0.0005643945,0.00007966425,0.05133997,0.0004395073,0.00064074586,3.4777668e-7,0.16335261,0.000718696,0.0017718127,0.011108374,0.7684719,0.0015120045],"about_ca_topic_score_codex":0.013795787,"about_ca_topic_score_gemma":0.18373385,"teacher_disagreement_score":0.69452757,"about_ca_system_score_codex":0.00009516873,"about_ca_system_score_gemma":0.00034896788,"threshold_uncertainty_score":0.9998356},"labels":[],"label_agreement":null},{"id":"W4253343742","doi":"10.7287/peerj.440v0.1/reviews/2","title":"Peer Review #2 of \"Neighbourhood walkability, leisure-time and transport-related physical activity in a mixed urban–rural area (v0.1)\"","year":2014,"lang":"en","type":"peer-review","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Walkability; Neighbourhood (mathematics); Geography; Physical activity; Transport engineering; Medicine; Physical medicine and rehabilitation; Engineering; Mathematics","score_opus":0.0303776700002285,"score_gpt":0.3248327264636643,"score_spread":0.2944550564634358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4253343742","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4607354,0.13537699,0.00001914245,0.22155863,0.0016345041,0.0073253107,0.0014994974,0.00042502844,0.17142546],"genre_scores_gemma":[0.6353402,0.025661584,0.000042266598,0.00047931485,0.00040669902,0.000119895034,0.0009783065,0.00007295722,0.33689874],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99372154,0.000727499,0.0012666186,0.0010788214,0.0024304343,0.00077510945],"domain_scores_gemma":[0.9963322,0.0004774785,0.00075211213,0.00076027017,0.0013218721,0.00035604028],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00613953,0.00072770333,0.0034845525,0.00013884853,0.00017388217,0.000039074617,0.0008878776,0.0007039651,0.0047296765],"category_scores_gemma":[0.0009467427,0.0005894064,0.0009152239,0.0009913887,0.0010221944,0.00043397915,0.00006842439,0.0012011172,0.000038587557],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001082989,0.0034355714,0.10808693,0.11095211,0.0003924108,0.000025311072,0.0025630305,5.261145e-7,0.00010989778,0.0007104405,0.72609854,0.04751694],"study_design_scores_gemma":[0.0012323075,0.00016732971,0.24260412,0.057244666,0.0016156881,0.0000014742129,0.000069366724,0.000037065663,0.00006173404,0.0014922161,0.6937413,0.0017327323],"about_ca_topic_score_codex":0.011946732,"about_ca_topic_score_gemma":0.012595815,"teacher_disagreement_score":0.22107932,"about_ca_system_score_codex":0.0001866948,"about_ca_system_score_gemma":0.0006507337,"threshold_uncertainty_score":0.9996557},"labels":[],"label_agreement":null},{"id":"W4253611031","doi":"10.32920/ryerson.14655489.v1","title":"Light rail transit as a tool for urban brownfield revitalization","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Brownfield; Urban sprawl; Environmental planning; Business; Transport engineering; Investment (military); Sustainability; Urban planning; Transit (satellite); Urban regeneration; Rail transit; Public transport; Geography; Civil engineering; Engineering; Redevelopment; Political science","score_opus":0.028176054197963502,"score_gpt":0.31136757359647405,"score_spread":0.28319151939851056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4253611031","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48452216,0.0033993397,0.18171117,0.020846412,0.003792839,0.004922458,0.00008059165,0.0007721115,0.29995292],"genre_scores_gemma":[0.9742624,0.00015253737,0.0012069034,0.00069819676,0.00075446523,0.00014668416,0.00024280271,0.000020603144,0.02251539],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99821347,0.00009690199,0.0004068652,0.00060986145,0.00036810388,0.00030480523],"domain_scores_gemma":[0.9990269,0.00008321577,0.00012313298,0.00039097073,0.00027416614,0.00010163253],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006049779,0.00020006283,0.0003610909,0.00004733355,0.0003205163,0.00037210408,0.00040696425,0.00052454474,0.002878881],"category_scores_gemma":[0.00019592239,0.0001915802,0.00038965695,0.0001846633,0.00006221977,0.0002562869,0.000045130073,0.00024088669,0.000010201128],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004712077,0.0018435918,0.31967357,0.0069593894,0.00092131697,0.00009253117,0.2260324,0.00013347542,0.0020449653,0.22532883,0.18130866,0.035190053],"study_design_scores_gemma":[0.0016439783,0.00014239113,0.018843979,0.0012124896,0.00083764736,6.722819e-7,0.009220965,0.0001722217,0.009090262,0.06363201,0.89246804,0.002735356],"about_ca_topic_score_codex":0.0025308374,"about_ca_topic_score_gemma":0.008161803,"teacher_disagreement_score":0.71115935,"about_ca_system_score_codex":0.00007291995,"about_ca_system_score_gemma":0.00066262204,"threshold_uncertainty_score":0.9980326},"labels":[],"label_agreement":null},{"id":"W4254211508","doi":"10.32920/ryerson.14667975.v1","title":"Spatial Relationships Between Socio-Economic Status And Sources of Hazardous Air Pollution in the City of Toronto, Canada","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Census; Geography; Air pollution; Pollution; Population; Cluster (spacecraft); Socioeconomic status; Socioeconomics; Pollutant; Environmental science; Environmental protection; Environmental health","score_opus":0.034347015086685515,"score_gpt":0.27758169318852693,"score_spread":0.2432346781018414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254211508","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9923418,0.00077304203,0.00008370961,0.001129043,0.00016017795,0.00026113912,0.00017243784,0.000007987033,0.0050706607],"genre_scores_gemma":[0.9995508,0.000099386074,0.00006455921,0.000024267641,0.00011818789,0.0000055793184,0.00005561635,0.0000037075959,0.000077903074],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99851614,0.0003649963,0.00043437278,0.0002403355,0.00026199783,0.00018214979],"domain_scores_gemma":[0.9992017,0.00021252206,0.00027205906,0.00020645517,0.000051454164,0.000055765136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010504511,0.00010393398,0.000309833,0.000016741687,0.00017703044,0.00002657186,0.0002442353,0.00020828017,0.00027585615],"category_scores_gemma":[0.00007266578,0.000086744956,0.000068504836,0.000036766134,0.0002907555,0.00012298771,0.00006978147,0.00029141712,6.266533e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000043635782,0.000014198143,0.9851856,0.000038076676,0.000019525587,4.207995e-7,0.013581372,0.00005265349,4.940425e-7,0.00030928844,0.000037929858,0.000756046],"study_design_scores_gemma":[0.0000935397,0.000005144449,0.97977674,0.000021845244,0.000033308825,1.5731878e-8,0.01855632,0.000008997967,0.000026539585,0.0011503448,0.00024085415,0.00008633591],"about_ca_topic_score_codex":0.9985584,"about_ca_topic_score_gemma":0.9997131,"teacher_disagreement_score":0.0072089904,"about_ca_system_score_codex":0.0005146914,"about_ca_system_score_gemma":0.0027386341,"threshold_uncertainty_score":0.48582193},"labels":[],"label_agreement":null},{"id":"W4254246130","doi":"10.32920/ryerson.14652099.v1","title":"The Bus Stops Here: Rethinking Our Approach to Bus Transit","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Public transport; Transit (satellite); Bus rapid transit; Transport engineering; Key (lock); Perception; Service (business); Sustainability; Business; Transit system; Computer science; Public relations; Engineering; Marketing; Political science; Computer security; Psychology","score_opus":0.05969652544731322,"score_gpt":0.3207042138200832,"score_spread":0.26100768837276994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254246130","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.54578626,0.0017694329,0.01974411,0.019418133,0.0030228922,0.0016460847,0.000017694292,0.00048865634,0.40810674],"genre_scores_gemma":[0.98348105,0.00012286575,0.0039973613,0.00048133402,0.0006912427,0.00007044918,0.000030962252,0.000022934184,0.011101793],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9969891,0.00032806653,0.00042638808,0.00083690166,0.0008549046,0.0005646404],"domain_scores_gemma":[0.99854827,0.00008629654,0.00011461379,0.0007867779,0.00023166894,0.00023236047],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002142638,0.00026999996,0.00038499926,0.000038271814,0.0012366702,0.00088371814,0.0013868074,0.0004998778,0.000093419825],"category_scores_gemma":[0.000112051646,0.00019442904,0.00031423324,0.00038937505,0.00010947466,0.00014255299,0.00019578089,0.0010323125,0.000015340096],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002425142,0.0015238632,0.15666188,0.0011261333,0.0008706033,0.00013908448,0.6564441,0.0024816762,0.00022927625,0.057554133,0.015154313,0.10757244],"study_design_scores_gemma":[0.0012739394,0.00008675297,0.20864227,0.0008439409,0.0007324184,0.00000309326,0.48964003,0.0006195445,0.0009789375,0.08917982,0.20308708,0.0049121743],"about_ca_topic_score_codex":0.014965787,"about_ca_topic_score_gemma":0.03721603,"teacher_disagreement_score":0.4376948,"about_ca_system_score_codex":0.0001622292,"about_ca_system_score_gemma":0.0007839791,"threshold_uncertainty_score":0.99159366},"labels":[],"label_agreement":null},{"id":"W4254252556","doi":"10.32920/ryerson.14640003","title":"Toronto: planning for diversity, inclusion and urban resilience","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Metropolitan area; Diversity (politics); Settlement (finance); Immigration; Psychological resilience; Inclusion (mineral); Geography; Work (physics); Political science; Economic growth; Economic geography; Global city; Resilience (materials science); Development economics; Sociology; Business; Gender studies; Engineering","score_opus":0.038169665721123826,"score_gpt":0.3431166236426073,"score_spread":0.30494695792148346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254252556","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96030825,0.0030406436,0.0023563893,0.00046926813,0.0005665673,0.00046074847,0.000017992617,0.00009384201,0.03268631],"genre_scores_gemma":[0.99546766,0.0001290689,0.0014192056,0.00011181991,0.0002280555,0.00000966991,0.00003401867,0.000005028393,0.0025954721],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987667,0.00005282375,0.0001511618,0.00047402625,0.0003294209,0.0002258207],"domain_scores_gemma":[0.9994003,0.000103683225,0.000079007936,0.0001944902,0.0001069642,0.00011553375],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0006223095,0.00011821976,0.00020014499,0.000014693778,0.0023166062,0.00014951004,0.00043541187,0.00024146451,0.00028438735],"category_scores_gemma":[0.000077980476,0.00011492385,0.000083359795,0.00004129986,0.00018488642,0.00029468077,0.004759651,0.00014625692,2.6480407e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002166408,0.000039077484,0.88504624,0.00012268586,0.000014245574,0.0000059368563,0.11073891,0.0000057205875,0.00001883934,0.00087007787,0.0013253232,0.0017912795],"study_design_scores_gemma":[0.00071331405,0.00006837912,0.9034711,0.00056851964,0.00018267143,1.7781427e-7,0.046919134,0.00050072005,0.0002485221,0.024895333,0.021312617,0.0011195153],"about_ca_topic_score_codex":0.035309143,"about_ca_topic_score_gemma":0.056730267,"teacher_disagreement_score":0.06381977,"about_ca_system_score_codex":0.00015340919,"about_ca_system_score_gemma":0.00020868688,"threshold_uncertainty_score":0.99898225},"labels":[],"label_agreement":null},{"id":"W4254357122","doi":"10.32920/ryerson.14649048.v1","title":"Accessibility at Airports: How Digital Media can put Toronto at the Forefront for Accessible Airport Travel","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University; Toronto Metropolitan University","funders":"","keywords":"Wheelchair; Service (business); Process (computing); Consignment; Transport engineering; Business; Function (biology); Computer science; Marketing; Engineering; World Wide Web","score_opus":0.04414733957818171,"score_gpt":0.3145019209834848,"score_spread":0.27035458140530305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254357122","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8978858,0.002640425,0.0015200881,0.0072376793,0.0038458724,0.0036876302,0.002006517,0.00035449746,0.08082146],"genre_scores_gemma":[0.9390612,0.0002632031,0.0004080461,0.000349752,0.0012290034,0.00051513046,0.0029422396,0.00007339905,0.055157974],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99362963,0.00017437607,0.0010768404,0.0022213936,0.0015859926,0.0013117406],"domain_scores_gemma":[0.99511564,0.0006180367,0.00086172373,0.0021022481,0.0006685258,0.0006338412],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0020476948,0.0008067182,0.0011565197,0.000046384157,0.0020025293,0.0022040908,0.002454187,0.0009898373,0.0044679],"category_scores_gemma":[0.0006631972,0.0005675184,0.0011712089,0.00021141913,0.0012205568,0.0018663993,0.0018223544,0.00057461613,0.0000063981274],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022190841,0.00051226036,0.92806005,0.0004910476,0.00033841757,0.000042026913,0.02197728,0.000009671946,0.000042644544,0.00054585387,0.031494226,0.016264597],"study_design_scores_gemma":[0.0010470358,0.0000521116,0.91840816,0.00017801106,0.00043566572,0.000002014253,0.02224069,0.00007449861,0.0017178286,0.009311277,0.04467332,0.0018593782],"about_ca_topic_score_codex":0.03741191,"about_ca_topic_score_gemma":0.84596837,"teacher_disagreement_score":0.80855644,"about_ca_system_score_codex":0.0033431633,"about_ca_system_score_gemma":0.0025338219,"threshold_uncertainty_score":0.9996776},"labels":[],"label_agreement":null},{"id":"W4254381132","doi":"10.1016/j.scs.2011.05.004","title":"WITHDRAWN: Cities addressing climate change: Introducing a tripartite model for sustainable partnership","year":2011,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Prince Albert Grand Council; Athabasca University","funders":"","keywords":"General partnership; Climate change; Political science; Operations research; Regional science; Engineering; Computer science; Business; Architectural engineering; Sociology; Law; Geology","score_opus":0.08277448706114932,"score_gpt":0.3127774431336284,"score_spread":0.23000295607247906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254381132","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9229051,0.0037729412,0.0046068337,0.0012500137,0.00017448384,0.002739205,0.00003507933,0.00048340877,0.064032964],"genre_scores_gemma":[0.95406157,0.000492799,0.001273025,0.0004606384,0.00054211565,0.00037967277,0.000015996342,0.00003307579,0.0427411],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99714047,0.00008267632,0.00033182336,0.0005045376,0.0002837765,0.0016567311],"domain_scores_gemma":[0.99867296,0.0000973157,0.00015380047,0.0002528912,0.0006054337,0.00021757493],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0020316492,0.00024804886,0.00036807408,0.000059441543,0.0033364156,0.00043682224,0.00024910225,0.0002154671,0.00008663209],"category_scores_gemma":[0.00011234417,0.00024118889,0.00024390752,0.00031059937,0.0009860999,0.0017628635,0.00010944519,0.00020200742,5.9931256e-7],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015189288,0.00007600122,0.021974763,0.0020114733,0.00005089688,0.000015101521,0.5980641,0.00002269582,0.0000023262448,0.37289023,0.00401171,0.00072879356],"study_design_scores_gemma":[0.0007462354,0.00007120663,0.0025088808,0.000063117564,0.00009139059,3.0254265e-7,0.9114061,0.0049508275,0.00004802248,0.06943663,0.010238471,0.00043883882],"about_ca_topic_score_codex":0.0055713053,"about_ca_topic_score_gemma":0.00042210246,"teacher_disagreement_score":0.31334195,"about_ca_system_score_codex":0.0002326931,"about_ca_system_score_gemma":0.00040565335,"threshold_uncertainty_score":0.9979611},"labels":[],"label_agreement":null},{"id":"W4254423225","doi":"10.32920/ryerson.14665635.v1","title":"Coordinated evaluation of active and sustainable school travel : international best practices","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Data collection; Stakeholder; Sustainability; Business; Best practice; Sustainable development; Traffic congestion; Public relations; Environmental planning; Transport engineering; Political science; Engineering; Geography; Sociology","score_opus":0.08895792260320792,"score_gpt":0.4140159499589403,"score_spread":0.3250580273557324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254423225","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79949886,0.00024944657,0.00019556817,0.0011637628,0.00028368764,0.00053150975,0.00001387414,0.000016756469,0.19804652],"genre_scores_gemma":[0.9897652,0.00013964223,0.00024558176,0.000018195378,0.00011606026,0.00003914186,0.00009947163,0.00000560852,0.009571062],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980656,0.00032865402,0.0002593171,0.00037715564,0.0007857345,0.00018355901],"domain_scores_gemma":[0.99665385,0.00011079118,0.00058977865,0.00016287724,0.0023977964,0.00008489011],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0023726772,0.00011090698,0.00020693609,0.000088111374,0.00017240163,0.00022182697,0.00026879844,0.00022488309,0.003258978],"category_scores_gemma":[0.0021238385,0.00010912741,0.00006151324,0.00015691617,0.00019659306,0.0007102131,0.00016748147,0.00030542002,0.0000015101804],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003330566,0.0019208653,0.8521335,0.0009071007,0.0011921272,0.000036262398,0.05081286,0.00021359415,0.0008046088,0.017700637,0.00087181584,0.07307356],"study_design_scores_gemma":[0.0011049374,0.000036811496,0.5943247,0.0002056128,0.00076830364,3.5664175e-7,0.3805485,0.0015784274,0.002882339,0.01612142,0.001958347,0.00047021697],"about_ca_topic_score_codex":0.06408302,"about_ca_topic_score_gemma":0.013012362,"teacher_disagreement_score":0.32973564,"about_ca_system_score_codex":0.00026959257,"about_ca_system_score_gemma":0.0021952428,"threshold_uncertainty_score":0.9976522},"labels":[],"label_agreement":null},{"id":"W4254438093","doi":"10.32920/ryerson.14645019","title":"The vertical suburbs of Sheppard: can mixed-use communities thrive along the Sheppard subway corridor?","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Scale (ratio); Smart growth; Silver bullet; Environmental planning; Architectural engineering; Transport engineering; Business; Urban planning; Engineering; Geography; Sociology; Civil engineering; Cartography","score_opus":0.05348577689285907,"score_gpt":0.3030407252910039,"score_spread":0.24955494839814482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254438093","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97726095,0.001029929,0.000100004705,0.003965927,0.0017267405,0.00065688905,0.00008924537,0.0001046079,0.015065719],"genre_scores_gemma":[0.99607414,0.0010541856,0.000075175274,0.00025216953,0.00023997649,0.00006345355,0.00010968373,0.000024911858,0.0021063092],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9959212,0.0012910337,0.00075748307,0.00039963666,0.0009940991,0.00063653436],"domain_scores_gemma":[0.99496293,0.0023540864,0.00019275183,0.0017734295,0.00054532173,0.00017148315],"candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0021249412,0.00034745006,0.0006010339,0.00004080142,0.0017464333,0.0008991109,0.0026188225,0.0004036433,0.0006656421],"category_scores_gemma":[0.00038412315,0.00020055217,0.00048361954,0.0002767675,0.0035192175,0.00022036597,0.0007889615,0.001308552,0.000005905913],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006847747,0.00016757658,0.93292254,0.00008659566,0.00026076066,0.000014160429,0.049703803,0.00006270507,0.000011541767,0.011577164,0.0028671704,0.0022574752],"study_design_scores_gemma":[0.00032667042,0.000041033603,0.80479485,0.00028100944,0.00035289998,7.477494e-7,0.17057614,0.00021685586,0.0012480703,0.0042303866,0.017238688,0.0006926714],"about_ca_topic_score_codex":0.2653726,"about_ca_topic_score_gemma":0.7830148,"teacher_disagreement_score":0.51764214,"about_ca_system_score_codex":0.00015424039,"about_ca_system_score_gemma":0.001254294,"threshold_uncertainty_score":0.99955314},"labels":[],"label_agreement":null},{"id":"W4254777077","doi":"10.32920/ryerson.14645571","title":"Revitalizing Toronto's Inner Suburban Neighbourhoods: A Study of the Markham and Lawrence Area of Scarborough","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Neighbourhood (mathematics); Middle class; Geography; Inner city; Economic growth; Political science; Regional science; Law; Economics","score_opus":0.03329082590959024,"score_gpt":0.3042890085148485,"score_spread":0.27099818260525826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254777077","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9545188,0.0027912855,0.00001973275,0.00014703847,0.00037808082,0.00076444447,0.000014506319,0.00002555374,0.041340593],"genre_scores_gemma":[0.9988547,0.00023110496,0.00013225818,0.000030600808,0.00007511302,0.000015836067,0.0000041272156,0.000010316486,0.0006459608],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977162,0.00034217522,0.00057479285,0.00051341363,0.00062868744,0.00022474438],"domain_scores_gemma":[0.9984095,0.000102926286,0.00039676033,0.0007526461,0.00026612723,0.00007202905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009309514,0.00020085533,0.0005500236,0.000019263372,0.00017626198,0.00009261628,0.00071328506,0.0002017685,0.0006525909],"category_scores_gemma":[0.00015039221,0.00014065005,0.00016481895,0.00021397258,0.00041148416,0.00024947445,0.0005215264,0.00025640335,7.41084e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011810129,0.00040084607,0.9676588,0.0002077911,0.00007666614,0.0000022202546,0.029790454,0.0000038401236,0.00006715898,0.0005594312,0.000049304672,0.0011716372],"study_design_scores_gemma":[0.00026818176,0.000046002973,0.95110404,0.0004341818,0.0001610576,1.0045252e-7,0.04658266,0.000015736146,0.000261132,0.00074490334,0.00014333411,0.00023866586],"about_ca_topic_score_codex":0.17341076,"about_ca_topic_score_gemma":0.30945864,"teacher_disagreement_score":0.1360479,"about_ca_system_score_codex":0.00008439866,"about_ca_system_score_gemma":0.00033950945,"threshold_uncertainty_score":0.8320936},"labels":[],"label_agreement":null},{"id":"W4254872134","doi":"10.4095/300991","title":"Mode of Transportation to Work, 2006: Public Transportation (by census division)","year":2010,"lang":"en","type":"report","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Census; Public transport; Transport engineering; Mode (computer interface); Division (mathematics); Work (physics); Geography; Mode choice; Engineering; Computer science; Sociology; Demography; Mathematics","score_opus":0.044568632776733404,"score_gpt":0.34328733228700753,"score_spread":0.29871869951027413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254872134","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83672494,0.0005643598,0.006125915,0.0026157312,0.0029141568,0.0022804986,0.00827907,0.00046216045,0.14003317],"genre_scores_gemma":[0.97543496,0.00031384084,0.0007911497,0.00006528098,0.00029337875,0.00006160515,0.0054661287,0.00005302776,0.017520627],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9949967,0.00007727991,0.0012487479,0.00076280447,0.00230856,0.00060588616],"domain_scores_gemma":[0.9971386,0.0001294393,0.0005768057,0.0004056583,0.001283963,0.00046549886],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011737874,0.0003861145,0.00072322495,0.00025582185,0.0002874175,0.000091616756,0.0006402703,0.0009986223,0.0020694574],"category_scores_gemma":[0.00015825666,0.00036277986,0.00038991828,0.0010515125,0.00028770525,0.0004956276,0.0000029575278,0.00063907704,0.000019457406],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012986345,0.0010962985,0.68828857,0.0006280141,0.00020371318,0.00002201002,0.011829612,0.000034263336,0.0007727761,0.0021899142,0.20842956,0.08637543],"study_design_scores_gemma":[0.00023502522,0.00003708766,0.3015367,0.00011287932,0.00014063927,3.3333794e-8,0.0004242334,0.0000010481131,0.00031111084,0.00035354253,0.6962929,0.0005548137],"about_ca_topic_score_codex":0.03923219,"about_ca_topic_score_gemma":0.24683481,"teacher_disagreement_score":0.48786333,"about_ca_system_score_codex":0.0001716193,"about_ca_system_score_gemma":0.0015591272,"threshold_uncertainty_score":0.9998824},"labels":[],"label_agreement":null},{"id":"W4255049654","doi":"10.32920/14638236.v1","title":"School travel and children’s physical activity: a cross-sectional study examining the influence of distance","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University; Dalhousie University; University of Toronto","funders":"Canadian Institutes of Health Research; Heart and Stroke Foundation of Canada","keywords":"Neighbourhood (mathematics); Physical activity; Cross-sectional study; Socioeconomic status; Psychology; Regression analysis; Demography; Geography; Medicine; Physical therapy; Sociology; Statistics; Mathematics","score_opus":0.03860898888037632,"score_gpt":0.3468517090980484,"score_spread":0.3082427202176721,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4255049654","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976887,0.00005270398,0.00019012035,0.00004352432,0.00010498166,0.000621727,0.000031947053,0.00003146791,0.0012348222],"genre_scores_gemma":[0.999347,0.000011496437,0.00002679735,0.000015757698,0.00021041882,0.000048412454,0.000005212427,0.0000074345353,0.0003274881],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981964,0.00019566852,0.00022718731,0.0005807326,0.0006034299,0.00019656616],"domain_scores_gemma":[0.9990251,0.00018342906,0.00018758244,0.0003585865,0.0001568524,0.000088465385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007265713,0.00016708976,0.0003085916,0.00002475486,0.00044007745,0.0003573224,0.00042463033,0.00012899039,0.00008238904],"category_scores_gemma":[0.00016708006,0.00012196848,0.000092206385,0.00016809709,0.0007520091,0.0002955434,0.00021890162,0.0006155403,7.4420336e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001812343,0.00040699507,0.99181736,0.000020293654,0.000053831434,0.000001287006,0.007028037,0.00007488196,0.0000676101,0.0001214073,0.0000011260493,0.00038907857],"study_design_scores_gemma":[0.0001600519,0.00002059078,0.99712396,0.000024056588,0.000028522527,1.2809816e-7,0.0020679159,0.000018170893,0.000057676618,0.00035974826,0.0000021309563,0.00013705798],"about_ca_topic_score_codex":0.013787829,"about_ca_topic_score_gemma":0.00818684,"teacher_disagreement_score":0.005600989,"about_ca_system_score_codex":0.00006117163,"about_ca_system_score_gemma":0.00043439158,"threshold_uncertainty_score":0.99277943},"labels":[],"label_agreement":null},{"id":"W4255250600","doi":"10.4095/300988","title":"Mode of Transportation to Work, 2006: Walked or Bicycled (by census subdivision)","year":2010,"lang":"en","type":"report","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Census; Subdivision; Mode (computer interface); Work (physics); Geography; Transport engineering; Demography; Computer science; Engineering; Sociology; Archaeology; Human–computer interaction","score_opus":0.04375337329566922,"score_gpt":0.3634273478085068,"score_spread":0.3196739745128375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4255250600","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78850466,0.00022070766,0.00076994416,0.00075702247,0.0021613492,0.0017106648,0.0022642412,0.0002896173,0.2033218],"genre_scores_gemma":[0.9004648,0.0003182877,0.0007832659,0.00006205896,0.0003801028,0.000034612316,0.0009698958,0.000043620727,0.09694341],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99617904,0.0000670724,0.00094898016,0.0006310923,0.0016833944,0.00049044145],"domain_scores_gemma":[0.9979669,0.00013965004,0.00041629982,0.00039040414,0.0007426672,0.00034409665],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000963573,0.00031633337,0.0007094044,0.00016381631,0.00021150199,0.00005379511,0.0005865377,0.0008393268,0.004750416],"category_scores_gemma":[0.00018277636,0.00024333573,0.000278957,0.0008337661,0.00024650316,0.00019260679,0.000008779635,0.0004953074,0.000033437223],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009623825,0.0012705093,0.33539265,0.00073485816,0.00024100859,0.0000663081,0.010621455,0.000014592212,0.0012329333,0.0005047003,0.57444286,0.074515745],"study_design_scores_gemma":[0.00038821108,0.00006241152,0.13981363,0.00019213709,0.00020180599,1.2662468e-7,0.0004710349,0.00000269205,0.00094766234,0.00026885903,0.85695213,0.00069931155],"about_ca_topic_score_codex":0.057006113,"about_ca_topic_score_gemma":0.18976545,"teacher_disagreement_score":0.28250927,"about_ca_system_score_codex":0.00013869508,"about_ca_system_score_gemma":0.0015262883,"threshold_uncertainty_score":0.9961594},"labels":[],"label_agreement":null},{"id":"W4255325472","doi":"10.31235/osf.io/pvrd9","title":"Generating measures of access to employment for Canada's eight largest urban regions","year":2018,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Census; Measure (data warehouse); Computer science; Neighbourhood (mathematics); Public transport; Transit (satellite); Key (lock); Code (set theory); Transport engineering; Database; Computer security; Mathematics; Engineering","score_opus":0.11602792757803441,"score_gpt":0.3508829796811015,"score_spread":0.23485505210306706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4255325472","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92622185,0.00047806778,0.02455559,0.011621349,0.003452528,0.0039933715,0.00087121146,0.0001572754,0.028648764],"genre_scores_gemma":[0.9902512,0.0000141531655,0.0030582843,0.0006412776,0.0011832587,0.00019805656,0.00008437214,0.00002127852,0.0045481394],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99780834,0.000086238455,0.00048956287,0.0005504385,0.0006462642,0.00041916058],"domain_scores_gemma":[0.9983521,0.00009429854,0.00023631795,0.00047822561,0.00058700057,0.00025205672],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007954135,0.0002072966,0.00038829987,0.00006808594,0.0005062813,0.00017125155,0.001106621,0.00020431678,0.00028875878],"category_scores_gemma":[0.00020733576,0.00018410537,0.00015296001,0.00017434305,0.00014610938,0.0001105541,0.0002254178,0.00015576267,9.2164447e-7],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036423284,0.00014173487,0.59477323,0.0001950515,0.00013145072,0.000002306109,0.0031177066,0.00017826092,0.00009223253,0.0027214277,0.39730945,0.0013007047],"study_design_scores_gemma":[0.00062955025,0.00011885895,0.19557352,0.00051668694,0.00032327857,9.6464426e-8,0.0010856168,0.00020916,0.009683308,0.0071228496,0.78305376,0.0016833188],"about_ca_topic_score_codex":0.93187135,"about_ca_topic_score_gemma":0.9958637,"teacher_disagreement_score":0.39919972,"about_ca_system_score_codex":0.0002983692,"about_ca_system_score_gemma":0.0031466521,"threshold_uncertainty_score":0.7507599},"labels":[],"label_agreement":null},{"id":"W4255586470","doi":"10.32920/ryerson.14668320.v1","title":"An exploration of travel behaviour change after the implementation of cycle tracks: a case study of Sherbourne Street in Toronto","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Cycling; Destinations; Transport engineering; Sample (material); Business; Geography; Engineering; Tourism","score_opus":0.09396299112151743,"score_gpt":0.4136861659464468,"score_spread":0.3197231748249294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4255586470","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980489,0.00015572818,0.0000947143,0.000043363336,0.00009409643,0.0013595244,0.00007072501,0.000006839887,0.0001261235],"genre_scores_gemma":[0.9995345,0.000034605884,0.000075010656,0.000006284009,0.000055161745,0.0002385744,0.000042844058,0.000007130147,0.000005907589],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9982416,0.0003299964,0.00064669363,0.00027158658,0.0003814081,0.00012873663],"domain_scores_gemma":[0.99907947,0.000024298248,0.00033857662,0.00034152743,0.00017762298,0.000038483286],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008826893,0.000116169045,0.00030690862,0.00003989401,0.000045594777,0.000027166041,0.00022464091,0.00011016209,0.0009159619],"category_scores_gemma":[0.000004821832,0.00009268612,0.00008269242,0.00012673081,0.000080191625,0.000982447,0.00004119762,0.000111852954,3.1129918e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023176666,0.001094145,0.65609175,0.00005005407,0.000015010242,0.00002591918,0.33945057,0.000004627702,0.00003593421,0.000017377191,4.5563414e-7,0.003190986],"study_design_scores_gemma":[0.00021647318,0.00008498205,0.48965067,0.000018370312,0.000045910652,8.0571546e-8,0.5095952,0.0000071675586,0.00028124315,0.000050379782,1.0314578e-7,0.000049420683],"about_ca_topic_score_codex":0.86168844,"about_ca_topic_score_gemma":0.99208546,"teacher_disagreement_score":0.17014463,"about_ca_system_score_codex":0.00011449756,"about_ca_system_score_gemma":0.00015857106,"threshold_uncertainty_score":0.9999973},"labels":[],"label_agreement":null},{"id":"W4255772681","doi":"10.4095/300999","title":"Mode of Transportation to Work, 2001: Walked or Bicycled (by census division)","year":2010,"lang":"en","type":"report","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Census; Mode (computer interface); Division (mathematics); Work (physics); Geography; Transport engineering; Sociology; Engineering; Computer science; Demography; Mathematics; Human–computer interaction","score_opus":0.05490106408188338,"score_gpt":0.3742234963219397,"score_spread":0.3193224322400563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4255772681","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7907532,0.00019356362,0.0011007352,0.0011182112,0.002157286,0.0016965938,0.001561702,0.00028134018,0.20113741],"genre_scores_gemma":[0.9009682,0.00031591373,0.0011720373,0.00006783742,0.00031419905,0.00003535492,0.00083073886,0.000041386273,0.09625436],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.996203,0.000065303095,0.0009022204,0.0006094815,0.0016950812,0.00052489794],"domain_scores_gemma":[0.9980425,0.00014861475,0.00039437355,0.00038026916,0.0006614585,0.00037274425],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010423766,0.0003050078,0.0006938941,0.00014800428,0.00021238888,0.00004998806,0.0005813331,0.0007887061,0.004789682],"category_scores_gemma":[0.00021691562,0.00022944373,0.00027309265,0.0007789875,0.00023354057,0.00018670557,0.000009456231,0.00047588098,0.00002584305],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005759059,0.0011352987,0.322018,0.00058897125,0.00021713098,0.00005158306,0.009112559,0.000022753129,0.0013678031,0.00021664005,0.58320695,0.08148639],"study_design_scores_gemma":[0.00037036111,0.00006284321,0.18214074,0.00020677135,0.0001775486,8.3331e-8,0.00045091225,0.0000030990002,0.00064123416,0.00028615122,0.8149809,0.00067934016],"about_ca_topic_score_codex":0.053504102,"about_ca_topic_score_gemma":0.18394381,"teacher_disagreement_score":0.23177396,"about_ca_system_score_codex":0.00013848829,"about_ca_system_score_gemma":0.0014780515,"threshold_uncertainty_score":0.9961201},"labels":[],"label_agreement":null},{"id":"W4255894164","doi":"10.4018/978-1-5225-5210-9.ch027","title":"GPS Travel Diaries in Rural Transportation Research","year":2018,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Global Positioning System; TRIPS architecture; Transport engineering; License; Exploratory research; Geographic information system; Assisted GPS; Geography; Computer science; Engineering; Telecommunications; Cartography","score_opus":0.05610528532432944,"score_gpt":0.3476465025560339,"score_spread":0.29154121723170445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4255894164","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05876401,0.00023293484,0.000014811019,0.000141505,0.00039592036,0.00055069645,0.00023471855,0.00007102861,0.9395944],"genre_scores_gemma":[0.879133,0.000012874796,0.00004290331,0.00005467909,0.0005868608,0.000018347724,0.000023600931,0.000021771102,0.12010596],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99730027,0.00008297061,0.0004828429,0.00046576164,0.0010432258,0.00062493817],"domain_scores_gemma":[0.99903786,0.00007744251,0.000116634794,0.00030521242,0.00027161255,0.00019124268],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00095178024,0.00026374916,0.0003920101,0.0001169391,0.00041024716,0.00013683883,0.000532195,0.0006604996,0.00081713876],"category_scores_gemma":[0.0000267482,0.0002681118,0.00017874614,0.000063627114,0.001555454,0.00014730252,0.000012703063,0.0005353312,0.00020249031],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008036257,0.000017140468,0.011503349,0.00002974994,0.000018388953,0.00004439148,0.00628934,7.626609e-8,0.0000038039889,0.97826505,0.0013852679,0.0023631067],"study_design_scores_gemma":[0.000323049,0.00006101429,0.05377108,0.00020626868,0.00003144474,1.2771723e-7,0.001453544,6.5743313e-7,0.000019025672,0.9076673,0.036078162,0.00038837676],"about_ca_topic_score_codex":0.017499946,"about_ca_topic_score_gemma":0.30423787,"teacher_disagreement_score":0.820369,"about_ca_system_score_codex":0.00041553038,"about_ca_system_score_gemma":0.00072139344,"threshold_uncertainty_score":0.9999771},"labels":[],"label_agreement":null},{"id":"W4256500608","doi":"10.32920/ryerson.14660799","title":"The role of transportation in older adult social activity participation: a qualitative study in Mississauga, Ontario","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University; McGill University","funders":"","keywords":"Psychological intervention; Context (archaeology); Public transport; Qualitative research; Geography; Gerontology; Business; Psychology; Environmental health; Socioeconomics; Medicine; Transport engineering; Sociology; Nursing; Engineering","score_opus":0.05069121283237951,"score_gpt":0.39580747260456217,"score_spread":0.34511625977218263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4256500608","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99475753,0.000051768988,0.000022443628,0.0005391351,0.00011930927,0.0009503208,0.000014210219,0.00001600422,0.0035292713],"genre_scores_gemma":[0.9992758,0.000006055194,0.00003055277,0.000009874745,0.000039568884,0.00019910678,0.000034994682,0.0000063503176,0.00039766484],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9972204,0.0009583696,0.00061044033,0.00040865585,0.0005443364,0.0002578186],"domain_scores_gemma":[0.9990198,0.00023559373,0.00027774097,0.00018239967,0.00023897117,0.000045484925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001711814,0.00015440899,0.0003856547,0.000056904773,0.00022531507,0.00007709712,0.0002735027,0.00022323726,0.00031806694],"category_scores_gemma":[0.000061657935,0.0001290034,0.00013492051,0.00032976718,0.00020468749,0.00021203404,0.000019186153,0.00053683936,4.9397846e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051902618,0.00069548376,0.47671446,0.0000129477385,0.000017272594,0.000001968658,0.5210526,0.0000074833397,0.000004106979,0.00026930784,0.000002216173,0.0011702414],"study_design_scores_gemma":[0.00032880457,0.000011124961,0.65560126,0.000025076088,0.000021335341,8.958354e-10,0.34205857,0.000006962715,0.00007064849,0.0017594319,0.000023495555,0.00009329719],"about_ca_topic_score_codex":0.74028146,"about_ca_topic_score_gemma":0.99795556,"teacher_disagreement_score":0.2576741,"about_ca_system_score_codex":0.0003345966,"about_ca_system_score_gemma":0.0012458707,"threshold_uncertainty_score":0.5260606},"labels":[],"label_agreement":null},{"id":"W4280497094","doi":"10.1155/2022/4217431","title":"Cluster Analysis of Daily Cycling Flow Profiles during COVID-19 Lockdown in the UK","year":2022,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council","keywords":"Cycling; Coronavirus disease 2019 (COVID-19); Cluster (spacecraft); Pandemic; Flow (mathematics); Material flow analysis; Demography; Geography; Environmental science; Medicine; Mathematics; Computer science; Biology; Ecology; Internal medicine; Sociology","score_opus":0.017353469876480596,"score_gpt":0.31588166612140123,"score_spread":0.2985281962449206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280497094","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99696183,0.00018134933,0.0014060464,0.0009962481,0.00014707368,0.00018786074,0.000042327145,0.000006595919,0.00007068152],"genre_scores_gemma":[0.99874586,0.000048484835,0.00090579275,0.0001648834,0.000056298508,0.0000102825425,0.000038750277,0.000004732172,0.000024915262],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99807453,0.00019568477,0.00072529074,0.00013104921,0.00071364414,0.00015979669],"domain_scores_gemma":[0.9989501,0.00017722364,0.0005912756,0.00010929261,0.00010310467,0.00006897248],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015145103,0.00007728799,0.00027247207,0.00034475018,0.00039558884,0.000016077503,0.00031608465,0.00003161904,0.00030179956],"category_scores_gemma":[0.00007266383,0.000061840256,0.00024523406,0.0014815035,0.00008382856,0.00037586916,0.000002129571,0.00026623337,1.1247594e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023649458,0.00007906532,0.541605,0.000025927411,0.00006843572,0.000022883662,0.049827244,0.4072644,0.00052882143,0.00005971425,0.0000072425332,0.00027479435],"study_design_scores_gemma":[0.0007561141,0.00004310202,0.97125083,0.000010808365,0.0003246647,4.3331158e-7,0.026336312,0.00010895917,0.00011853611,0.0005978828,0.0003765727,0.00007577566],"about_ca_topic_score_codex":0.00042962265,"about_ca_topic_score_gemma":0.010370044,"teacher_disagreement_score":0.42964587,"about_ca_system_score_codex":0.0001414935,"about_ca_system_score_gemma":0.00021434139,"threshold_uncertainty_score":0.57867277},"labels":[],"label_agreement":null},{"id":"W4280507206","doi":"10.1016/s2214-109x(22)00069-9","title":"City planning policies to support health and sustainability: an international comparison of policy indicators for 25 cities","year":2022,"lang":"en","type":"review","venue":"The Lancet Global Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":214,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Queen's University; Department for the Economy; Centers for Disease Control and Prevention; Universidade de Lisboa; Economic and Social Research Council; National Health and Medical Research Council; Universidade de São Paulo; National Institute of Diabetes and Digestive and Kidney Diseases; College of Humanities and Social Sciences, United Arab Emirates University; Auckland University of Technology, New Zealand; Chicago Center for Diabetes Translation Research; Universiteit Gent; Queen's University Belfast; Northeastern University; UK Research and Innovation; National Institutes of Health; Syddansk Universitet; Australian Catholic University; Washington University in St. Louis; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação para a Ciência e a Tecnologia; Universitat de València; Centre for Public Health, Queen's University Belfast; Arizona State University","keywords":"Sustainability; Business; Urban planning; Distribution (mathematics); Public health; Health policy; Investment (military); Corporate governance; Sustainable development; Economic growth; Public economics; Environmental planning; Economics; Health care; Political science; Geography; Finance; Politics; Medicine","score_opus":0.18808939667637262,"score_gpt":0.5486381759641872,"score_spread":0.3605487792878146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280507206","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007190887,0.9607804,0.00012086399,0.020566558,0.00060725695,0.0037085568,0.003953963,0.00013170985,0.0029398357],"genre_scores_gemma":[0.036399055,0.9578839,0.0001526164,0.0032964477,0.0014278016,0.00017900269,0.00052882294,0.000019310566,0.00011303617],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99683976,0.0006349637,0.00085222593,0.00039748134,0.0005272621,0.0007482774],"domain_scores_gemma":[0.99802303,0.00028111492,0.00081369426,0.00038945355,0.00007184163,0.0004208738],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032635247,0.00023022389,0.001689586,0.00017265698,0.0009974326,0.000077454344,0.0010855225,0.00010075301,0.000045587985],"category_scores_gemma":[0.0003842356,0.00017816143,0.00016632304,0.00081047113,0.00041674206,0.00014082919,0.00015451582,0.0002895435,3.2468412e-7],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057474517,0.00010002799,0.12518194,0.0061756326,0.000049077877,2.8510263e-7,0.027587147,0.000001808762,1.689988e-10,0.04024362,0.0037236733,0.7968793],"study_design_scores_gemma":[0.00012253526,0.00035686578,0.011501493,0.00033820677,0.000023218436,5.5105573e-7,0.010935193,0.0000010063919,5.112627e-9,0.0032156606,0.97337025,0.00013499682],"about_ca_topic_score_codex":0.03541695,"about_ca_topic_score_gemma":0.006041254,"teacher_disagreement_score":0.9696466,"about_ca_system_score_codex":0.0025301564,"about_ca_system_score_gemma":0.011026441,"threshold_uncertainty_score":0.99458015},"labels":[],"label_agreement":null},{"id":"W4280524400","doi":"10.1016/s2214-109x(22)00072-9","title":"Using open data and open-source software to develop spatial indicators of urban design and transport features for achieving healthy and sustainable cities","year":2022,"lang":"en","type":"review","venue":"The Lancet Global Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":163,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Cancer Institute; Centers for Disease Control and Prevention; National Institutes of Health; Queen's University; Karl-Franzens-Universität Graz; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Universitat de Barcelona; National Health and Medical Research Council; Universitat Autònoma de Barcelona; Queen's University Belfast; National Center for Chronic Disease Prevention and Health Promotion; Universidade de Lisboa; Chicago Center for Diabetes Translation Research; Universiteit Gent; Universitat de València; Arizona State University; Washington University in St. Louis; University of Southern California","keywords":"Open source software; Open data; Open source; Software; Computer science; Data science; Regional science; Environmental planning; Geography; World Wide Web","score_opus":0.2010527145346323,"score_gpt":0.4616457105637087,"score_spread":0.2605929960290764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280524400","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010369973,0.9805238,0.007330217,0.0014200239,0.00011510451,0.0075063505,0.001856225,0.000041079707,0.00017019793],"genre_scores_gemma":[0.001897882,0.9825787,0.013486008,0.00110064,0.00026782925,0.00013844945,0.00033537636,0.000035177436,0.00015995935],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9967016,0.0008606594,0.000618287,0.00071286154,0.00031120636,0.00079536525],"domain_scores_gemma":[0.9980391,0.00046867522,0.0005678699,0.00056316826,0.000058509548,0.0003026538],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.007859124,0.00028634846,0.0017730648,0.000068750276,0.0021700729,0.00029504995,0.0026603974,0.00013694003,0.000013632918],"category_scores_gemma":[0.00026355596,0.0002162754,0.0000352221,0.0008357671,0.0003516338,0.00040694457,0.001446592,0.00028593815,5.6356164e-8],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035032586,0.000045188837,0.025522249,0.016642489,0.000086329324,0.00000354654,0.0068831285,0.0000016440006,2.7893583e-9,0.0027642902,0.0046547465,0.94304603],"study_design_scores_gemma":[0.00038213533,0.00015550299,0.00687124,0.0011738673,0.00016482985,0.000003350345,0.002595757,0.000002209694,1.6091365e-8,0.00049035274,0.9879111,0.0002496248],"about_ca_topic_score_codex":0.04981705,"about_ca_topic_score_gemma":0.011132094,"teacher_disagreement_score":0.98325634,"about_ca_system_score_codex":0.00039793676,"about_ca_system_score_gemma":0.005952588,"threshold_uncertainty_score":0.9996827},"labels":[],"label_agreement":null},{"id":"W4280553225","doi":"10.3390/ijerph19105905","title":"Analysis of Electric Bicycle Riders’ Use of Mobile Phones While Riding on Campus","year":2022,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Suicide prevention; Advertising; Poison control; Internet privacy; Business; Medical emergency; Computer science; Medicine","score_opus":0.10533748610309489,"score_gpt":0.4028430353984311,"score_spread":0.2975055492953362,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280553225","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973141,0.00049012323,0.000029922963,0.0016345412,0.00010704877,0.000104888444,0.00013067674,0.0000017802839,0.00018691765],"genre_scores_gemma":[0.9986954,0.0009936305,0.000032613738,0.00008484747,0.00005999084,0.000004641321,0.000015705375,0.000003888483,0.000109279055],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969098,0.0004535551,0.0004548184,0.00012544738,0.0017946317,0.0002617305],"domain_scores_gemma":[0.99876785,0.00045662353,0.00037384673,0.00008069024,0.000097457705,0.0002235146],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0034074408,0.00005035423,0.00021066354,0.00092333055,0.0003052085,0.000046884164,0.0003633831,0.000021578891,0.0011587165],"category_scores_gemma":[0.00016622106,0.000046476453,0.000108172215,0.0006916609,0.00024066378,0.00034861366,0.00007161453,0.00030854624,5.760711e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018232799,0.0014419543,0.96188927,0.000007746942,0.00044823505,0.0000124786275,0.0061492985,0.00028450813,0.0012348109,0.00034048036,0.0002851095,0.027723787],"study_design_scores_gemma":[0.00046896955,0.0011953553,0.96505475,0.00001412434,0.000022066393,0.0000026101561,0.012581628,0.00023486553,0.00031838057,0.00044543995,0.019583449,0.00007834826],"about_ca_topic_score_codex":0.0028050134,"about_ca_topic_score_gemma":0.00027629797,"teacher_disagreement_score":0.027645439,"about_ca_system_score_codex":0.0005192693,"about_ca_system_score_gemma":0.00045765578,"threshold_uncertainty_score":0.99975437},"labels":[],"label_agreement":null},{"id":"W4280558003","doi":"10.1186/s12966-022-01256-6","title":"Associations of neighborhood walkability with moderate to vigorous physical activity: an application of compositional data analysis comparing compositional and non-compositional approaches","year":2022,"lang":"en","type":"article","venue":"International Journal of Behavioral Nutrition and Physical Activity","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Concordia University; McGill University; Centre Hospitalier de l’Université de Montréal; Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine; Public Health Agency of Canada","funders":"Canadian Institutes of Health Research; Public Health Agency; Public Health Agency of Canada; Heart and Stroke Foundation of Canada","keywords":"Walkability; Neighbourhood (mathematics); Demography; Regression analysis; Confidence interval; Linear regression; Physical activity; Geography; Psychology; Statistics; Medicine; Mathematics; Physical therapy","score_opus":0.09353733324818299,"score_gpt":0.3800779349554033,"score_spread":0.28654060170722034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280558003","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9825761,0.000007580489,0.014048959,0.0008564323,0.00004716361,0.0002840841,0.0021140752,0.000010325204,0.00005529173],"genre_scores_gemma":[0.99798423,0.0000022754277,0.0010422795,0.000017782937,0.0002314492,0.000025301866,0.00068762363,0.000007684701,0.0000013903385],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99771607,0.00028140488,0.00030150177,0.0003500329,0.0012063826,0.00014462274],"domain_scores_gemma":[0.99832463,0.00022299582,0.000578784,0.00018288166,0.00051711866,0.00017361305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045161534,0.00014912737,0.00053385994,0.00021928531,0.00037783358,0.000073430376,0.0004351221,0.000041747477,0.000016314381],"category_scores_gemma":[0.000008092228,0.00014840356,0.0001530764,0.00042754822,0.00032671637,0.001087235,0.00015069326,0.00032570772,1.4241266e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0055796825,0.06322212,0.7960045,0.0000666946,0.0014030812,0.000013631963,0.0075221504,0.005904177,0.09214691,0.0076811244,0.000028847779,0.020427125],"study_design_scores_gemma":[0.0013185453,0.00046639392,0.95056295,0.000026192616,0.00054117007,0.0000062244094,0.00047872504,0.040590543,0.0032129497,0.002587855,0.0000110165365,0.0001974101],"about_ca_topic_score_codex":0.0011036844,"about_ca_topic_score_gemma":0.00030121102,"teacher_disagreement_score":0.15455852,"about_ca_system_score_codex":0.00018302849,"about_ca_system_score_gemma":0.000130559,"threshold_uncertainty_score":0.60517216},"labels":[],"label_agreement":null},{"id":"W4280574926","doi":"10.1155/2022/1910404","title":"Comparative Study on Characteristics of Urban Road Network in Station Catchment Area between China and Other Countries for Station-City Integration","year":2022,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":true,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Catchment area; China; Drainage basin; Range (aeronautics); Urban area; Geography; Shanghai china; Environmental science; Civil engineering; Engineering; Cartography; Regional science; Economy","score_opus":0.03273638957109376,"score_gpt":0.33878173399944395,"score_spread":0.3060453444283502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280574926","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9937647,0.000047973517,0.004787389,0.00011575856,0.00018520793,0.000745603,0.00032301282,0.000005830185,0.000024549616],"genre_scores_gemma":[0.99914956,0.000013706582,0.0005393588,0.00002053728,0.000091021466,0.000032976004,0.00013393884,0.0000061022924,0.000012813927],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984738,0.00013162207,0.0007112971,0.00012944816,0.0004296021,0.00012423181],"domain_scores_gemma":[0.9987127,0.00015390805,0.0008322782,0.00005337805,0.00020500786,0.000042706484],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091417687,0.00009531536,0.0003249454,0.0001045485,0.00024649844,0.000017906594,0.00008533169,0.000026086127,0.00002418168],"category_scores_gemma":[0.000020054524,0.00009100817,0.00004830076,0.00023078707,0.00006563757,0.00038436727,0.0000011545544,0.00016242513,4.414763e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00072243175,0.00025170986,0.87098736,0.000014957774,0.000029084464,0.0000012508949,0.12007877,0.005858965,0.000043253745,0.00039474087,0.000015116527,0.0016023724],"study_design_scores_gemma":[0.0010977243,0.0007519487,0.9687334,0.000037332375,0.000058878428,3.2355604e-8,0.027478863,0.000025176705,0.00007986524,0.0013510516,0.00030535407,0.00008038297],"about_ca_topic_score_codex":0.0004626963,"about_ca_topic_score_gemma":0.004422005,"teacher_disagreement_score":0.09774605,"about_ca_system_score_codex":0.00014105767,"about_ca_system_score_gemma":0.00011926409,"threshold_uncertainty_score":0.37112054},"labels":[],"label_agreement":null},{"id":"W4280575319","doi":"10.1016/j.jtrangeo.2022.103356","title":"Accessibility to primary care physicians: Comparing floating catchments with a utility-based approach","year":2022,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; University of Toronto","funders":"","keywords":"Multinomial logistic regression; Population; Operations research; Service (business); Catchment area; Computer science; Strengths and weaknesses; Logit; Demand management; Transport engineering; Business; Econometrics; Environmental economics; Geography; Economics; Marketing; Engineering; Medicine; Psychology; Environmental health; Machine learning; Cartography","score_opus":0.02099423553536163,"score_gpt":0.27338764380508723,"score_spread":0.2523934082697256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280575319","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98509914,0.00035808695,0.0067936764,0.00017901845,0.0002602684,0.0005407538,0.000055808785,0.000056053268,0.0066572176],"genre_scores_gemma":[0.9932404,0.000003696991,0.0060668387,0.00041130168,0.00015506001,0.000023944493,0.00006715386,0.000019918743,0.000011665223],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99646336,0.000229757,0.0007768853,0.0004278737,0.0015952621,0.0005068721],"domain_scores_gemma":[0.99843234,0.00004751013,0.0005381522,0.00033563466,0.0003687595,0.00027758587],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015362056,0.00023187182,0.00058964704,0.00035438983,0.0012011277,0.00006406431,0.0009539062,0.00005415844,0.00009842648],"category_scores_gemma":[0.0000063683665,0.0002095408,0.00049082725,0.0015723528,0.00026220627,0.00051918556,0.00002395166,0.0006285069,3.4688628e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00055824826,0.00062831223,0.98126554,0.00017982477,0.00007910793,0.000029521563,0.012495174,0.0018601054,0.00003695141,0.0000069497355,0.000024291881,0.0028359476],"study_design_scores_gemma":[0.0010663336,0.0002324591,0.98299,0.000086187356,0.00016899554,9.4004884e-7,0.010816082,0.000032616757,0.00006916431,0.00006122574,0.00420466,0.00027133527],"about_ca_topic_score_codex":0.0012372138,"about_ca_topic_score_gemma":0.0008183775,"teacher_disagreement_score":0.008141303,"about_ca_system_score_codex":0.00022111367,"about_ca_system_score_gemma":0.0005900892,"threshold_uncertainty_score":0.92382246},"labels":[],"label_agreement":null},{"id":"W4280596886","doi":"10.4324/9781315075525-110","title":"Needs and Travel Habits Among the Transportation Handicapped in Montreal","year":2022,"lang":"en","type":"book-chapter","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Service (business); Public transport; Population; Business; Order (exchange); Geography; Advertising; Transport engineering; Engineering; Marketing; Sociology; Demography; Finance","score_opus":0.01624819659195517,"score_gpt":0.24241595218342887,"score_spread":0.2261677555914737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280596886","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14737183,0.00029436074,0.000020240253,0.0007657409,0.00012162146,0.0005233051,0.000051043353,0.00003796516,0.8508139],"genre_scores_gemma":[0.6924412,0.00023480332,0.000006335014,0.00007353784,0.000068345544,0.000017562881,0.00007705577,0.000012312875,0.30706885],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99881095,0.00003369767,0.00029936002,0.0002577134,0.00039745032,0.00020082321],"domain_scores_gemma":[0.99957156,0.00008189771,0.000108859465,0.00013958394,0.000020654497,0.000077422],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004382716,0.00016556848,0.00023836903,0.00011756625,0.00038812894,0.00004642939,0.00022605417,0.00019956708,0.0042536426],"category_scores_gemma":[0.000004829889,0.00012438837,0.00009452252,0.000087642584,0.00048423145,0.00018403276,0.0000059964404,0.00037101144,0.0000052943933],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007014087,0.000057894762,0.5781337,0.000046164496,0.000054399177,0.000042038726,0.05996991,0.0000036146942,0.000003852911,0.3486187,0.0011729071,0.011826705],"study_design_scores_gemma":[0.00028005286,0.000018666298,0.94782215,0.000021611459,0.000054872817,4.3201357e-8,0.0022444944,0.00000743583,0.000001168837,0.0174756,0.031866573,0.0002073548],"about_ca_topic_score_codex":0.047982622,"about_ca_topic_score_gemma":0.66499424,"teacher_disagreement_score":0.6170116,"about_ca_system_score_codex":0.000051680796,"about_ca_system_score_gemma":0.000089891524,"threshold_uncertainty_score":0.9966566},"labels":[],"label_agreement":null},{"id":"W4280614117","doi":"10.1177/23998083221100827","title":"Developing urban biking typologies: Quantifying the complex interactions of bicycle ridership, bicycle network and built environment characteristics","year":2022,"lang":"en","type":"article","venue":"Environment and Planning B Urban Analytics and City Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"National Health and Medical Research Council; Australian Research Council; Medical Research Council","keywords":"TRIPS architecture; Transport engineering; Typology; Population; Cluster analysis; Land use; Geography; Built environment; Cluster (spacecraft); Poison control; Computer science; Engineering; Civil engineering; Environmental health; Machine learning; Medicine","score_opus":0.1379607331567064,"score_gpt":0.326901010405608,"score_spread":0.18894027724890158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280614117","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99663097,0.0006833177,0.0010864573,0.0008943537,0.00012515913,0.00014613048,0.00001865557,0.000015609388,0.00039933552],"genre_scores_gemma":[0.9987594,0.0002939331,0.0005356533,0.00012032617,0.000089546695,0.00000570636,0.000007890045,0.0000054653974,0.0001821049],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99847364,0.000094044306,0.00027753526,0.00037187562,0.00042680625,0.0003561056],"domain_scores_gemma":[0.99925053,0.00024520193,0.00020911018,0.00017840242,0.000009052111,0.00010770276],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0014566792,0.00013033807,0.00019361632,0.00008141988,0.0030081954,0.00015397462,0.00029887634,0.000028477058,0.00015113507],"category_scores_gemma":[0.000054496344,0.00011184764,0.000031825413,0.00026871506,0.0018040742,0.00021961101,0.00028866698,0.00023004509,6.1592726e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010141291,0.000021263691,0.9909405,0.00000928903,0.000013137351,0.0000017656297,0.0066309096,0.00030064984,0.00020377073,0.0010422043,0.000108066444,0.0007183079],"study_design_scores_gemma":[0.000094624396,0.0000397149,0.969093,0.000021656084,0.0000374617,9.487687e-7,0.0113973785,0.004026362,0.00002346186,0.00053215004,0.014560467,0.00017274769],"about_ca_topic_score_codex":0.00051665487,"about_ca_topic_score_gemma":0.00006231679,"teacher_disagreement_score":0.021847468,"about_ca_system_score_codex":0.00009776786,"about_ca_system_score_gemma":0.000057724654,"threshold_uncertainty_score":0.99828976},"labels":[],"label_agreement":null},{"id":"W4280645100","doi":"10.1177/03611981221083606","title":"Pedestrians and the Built Environment during the COVID-19 Pandemic: Changing Relationships by the Pandemic Phases in Salt Lake County, Utah, U.S.A.","year":2022,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Utah Department of Transportation; U.S. Department of Transportation","keywords":"Pedestrian; Pandemic; Context (archaeology); Geography; Coronavirus disease 2019 (COVID-19); Built environment; Transport engineering; Poison control; Environmental health; Engineering; Civil engineering; Medicine","score_opus":0.17041146835004717,"score_gpt":0.4108191678070139,"score_spread":0.24040769945696672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280645100","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9650231,0.001394642,0.00029618051,0.030622194,0.00021906942,0.001998504,0.00031775696,0.00002900276,0.00009952366],"genre_scores_gemma":[0.99314874,0.004181251,0.000027475986,0.0002454675,0.00017815789,0.0003507738,0.00003380603,0.00003144394,0.0018028762],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98567724,0.007037947,0.0012942414,0.0004479587,0.004513332,0.0010292664],"domain_scores_gemma":[0.9926032,0.005611393,0.0005348663,0.00051256624,0.00039797244,0.00033999683],"candidate_categories":["metaresearch","sts","research_integrity"],"consensus_categories":["sts"],"category_scores_codex":[0.030434975,0.0002297666,0.0003768911,0.00049405394,0.0080058165,0.0002512991,0.001884944,0.00013205849,0.0008881348],"category_scores_gemma":[0.0006388692,0.00012580938,0.00029606372,0.002360735,0.0031955037,0.0005146964,0.00002689902,0.0042986567,0.0000031262987],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014797968,0.00013592427,0.95269734,0.00005369818,0.00006158946,0.000030151255,0.040478293,0.0017802629,0.00016498753,0.0010342539,0.0012504098,0.0008332784],"study_design_scores_gemma":[0.0036262788,0.00011629499,0.83262616,0.000051896626,0.000074601,0.0000020112193,0.05944777,0.00007728228,0.000016150407,0.0068731788,0.09689416,0.00019423771],"about_ca_topic_score_codex":0.04818024,"about_ca_topic_score_gemma":0.5010944,"teacher_disagreement_score":0.45291418,"about_ca_system_score_codex":0.00070543843,"about_ca_system_score_gemma":0.0011167672,"threshold_uncertainty_score":0.9995172},"labels":[],"label_agreement":null},{"id":"W4280646623","doi":"10.1016/j.trip.2022.100614","title":"To bike or not to bike: Exploring cycling for commuting and non-commuting in Bangladesh","year":2022,"lang":"en","type":"article","venue":"Transportation Research Interdisciplinary Perspectives","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"TRIPS architecture; Recreation; Walkability; Transport engineering; Cycling; Built environment; Geography; Perception; Poison control; Sustainable transport; Sustainability; Business; Socioeconomics; Environmental health; Psychology; Engineering; Civil engineering; Medicine; Economics; Political science","score_opus":0.18441386700888457,"score_gpt":0.47649047133801586,"score_spread":0.2920766043291313,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280646623","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98729235,0.000060786544,0.00094461354,0.008673732,0.00016288679,0.001686057,0.00011504951,0.00008244755,0.0009820596],"genre_scores_gemma":[0.99643433,0.000017704655,0.0017000638,0.00007454607,0.00016930483,0.0010929253,0.0000298978,0.000034404184,0.00044683323],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99677813,0.00034091115,0.00051226525,0.00071892666,0.00082251115,0.00082724896],"domain_scores_gemma":[0.99821746,0.00088938954,0.00006844771,0.0002643801,0.00025749652,0.0003028116],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0042450824,0.00018075085,0.00031177938,0.0007873313,0.0031721313,0.00015212307,0.0006095467,0.000053335018,0.00030657827],"category_scores_gemma":[0.0002035327,0.0001857914,0.000102105616,0.0016979988,0.00026219853,0.0005974224,0.0001864864,0.0006801807,0.000004549663],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020132947,0.00030827033,0.13508803,0.00010465372,0.000026285581,0.000046825506,0.85394967,0.00091836485,0.0023549977,0.0015386076,0.0001584069,0.0034925842],"study_design_scores_gemma":[0.000508777,0.00038481446,0.42099392,0.000112985086,0.0000073727892,1.8100174e-7,0.5759094,0.00018634973,0.00038349902,0.0007555577,0.00053663267,0.00022050779],"about_ca_topic_score_codex":0.0027794116,"about_ca_topic_score_gemma":0.040178448,"teacher_disagreement_score":0.28590593,"about_ca_system_score_codex":0.000559297,"about_ca_system_score_gemma":0.00021804713,"threshold_uncertainty_score":0.9981256},"labels":[],"label_agreement":null},{"id":"W4280649639","doi":"10.3390/su14105780","title":"Will the Effects of COVID-19 on Commuting and Daily Activities of the University Students Be Maintained? Evidence from a Small Town in Sicily","year":2022,"lang":"en","type":"article","venue":"Sustainability","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Public transport; Mode (computer interface); Psychology; Demographic economics; Regression analysis; Demography; Geography; Sociology; Statistics; Transport engineering; Medicine; Engineering; Economics; Computer science; Mathematics","score_opus":0.01819579584240063,"score_gpt":0.2979052026766857,"score_spread":0.2797094068342851,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280649639","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9937638,0.00013690263,0.000022084567,0.0049343896,0.00007349465,0.00091293466,0.000030310995,0.000014496231,0.0001115535],"genre_scores_gemma":[0.9996469,0.000011933021,0.000006410904,0.00015369247,0.000010714904,0.000008723168,0.000001082682,0.000003051739,0.00015749346],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9967457,0.0020855279,0.00018971555,0.0002601062,0.000498364,0.00022060878],"domain_scores_gemma":[0.99545026,0.0037927122,0.00017010816,0.00042992985,0.00009738895,0.00005958488],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030181692,0.00009251066,0.00020236734,0.000037714264,0.0010032265,0.000018983086,0.0008976628,0.000040336607,0.000052698375],"category_scores_gemma":[0.0037191513,0.00006740497,0.00008149446,0.0004601097,0.0012477199,0.00021235348,0.0004678559,0.00033665565,1.3126782e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002152641,0.00019640337,0.9265692,0.0001881978,0.00001114558,0.000006505231,0.07120749,0.00007523002,0.000035462286,0.0011276264,0.00001807687,0.00034935703],"study_design_scores_gemma":[0.0003635086,0.00009176045,0.82342833,0.00002920717,0.000023962511,2.8786078e-8,0.16444902,0.000008855098,0.0001029792,0.010969303,0.00046710882,0.000065937485],"about_ca_topic_score_codex":0.07549149,"about_ca_topic_score_gemma":0.024174267,"teacher_disagreement_score":0.10314091,"about_ca_system_score_codex":0.0012955496,"about_ca_system_score_gemma":0.0009289144,"threshold_uncertainty_score":0.993632},"labels":[],"label_agreement":null},{"id":"W4281386327","doi":"10.11606/t.8.2021.tde-13052022-204103","title":"\\\"A cor dessa cidade sou eu?\\\" : as mulheres e o direito à cidade em Salvador, Bahia","year":2021,"lang":"pt","type":"dissertation","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Residence; Public space; Portuguese; Vulnerability (computing); Feeling; Gender studies; Space (punctuation); Geography; Sociology; Inequality; Humanities; Demography; Psychology; Social psychology; Art","score_opus":0.026923427158227847,"score_gpt":0.3278225292628763,"score_spread":0.30089910210464843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281386327","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85334873,0.002961501,0.00019380673,0.00085737545,0.004109598,0.001062499,0.000114746865,0.00039128942,0.13696045],"genre_scores_gemma":[0.787443,0.0003366848,0.00018942749,0.00069245504,0.0008703154,0.00008303921,0.0018898088,0.00010756333,0.20838773],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9922558,0.00056400266,0.0015677812,0.002123347,0.0019752523,0.0015138144],"domain_scores_gemma":[0.9962129,0.00043023418,0.0008091603,0.0010326795,0.00071649556,0.0007985144],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009261384,0.0011353267,0.0014487822,0.00024542364,0.0016864253,0.001214622,0.0016447153,0.0017047984,0.030614521],"category_scores_gemma":[0.00040721934,0.0011031665,0.0010676795,0.0015931866,0.00044364904,0.00087782886,0.000096922064,0.0012943837,0.0009463586],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010266078,0.0036055024,0.6511857,0.0030205029,0.0018167617,0.0008495418,0.21256396,0.000027825146,0.0051646796,0.013188822,0.031367477,0.076182626],"study_design_scores_gemma":[0.0016675021,0.0002424162,0.62753457,0.0011433585,0.0013054614,0.000002711411,0.29573545,0.00012090293,0.010896557,0.0050735413,0.052550506,0.003727004],"about_ca_topic_score_codex":0.023170065,"about_ca_topic_score_gemma":0.14874941,"teacher_disagreement_score":0.12557936,"about_ca_system_score_codex":0.00027108367,"about_ca_system_score_gemma":0.0019506952,"threshold_uncertainty_score":0.9998315},"labels":[],"label_agreement":null},{"id":"W4281388498","doi":"10.32920/17329601","title":"Urban cycling equity : an analysis of equity based approaches in public bike sharing program development in Toronto","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University; York University","funders":"","keywords":"Equity (law); Demographics; Business; Public transport; Public economics; Political science; Transport engineering; Economics; Sociology; Engineering","score_opus":0.24333482562013403,"score_gpt":0.4226473614010815,"score_spread":0.17931253578094747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281388498","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94141203,0.00019303088,0.00047554055,0.00013826955,0.00014250052,0.00118463,0.000021038988,0.00017994105,0.056253035],"genre_scores_gemma":[0.99337727,0.000009513889,0.0053447294,0.000030698928,0.000042173215,0.0004944645,0.00053830777,0.000015882013,0.00014694459],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9952787,0.00036128442,0.0012197901,0.0012373755,0.0011397646,0.0007630609],"domain_scores_gemma":[0.99838996,0.00008110817,0.0004128363,0.00074319396,0.000087422086,0.00028550217],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0076936022,0.0003098419,0.00091362343,0.00060965266,0.00027318558,0.00031183547,0.001975597,0.0003412115,0.0028793658],"category_scores_gemma":[0.00017327012,0.00032095547,0.000308985,0.0017474036,0.00019805419,0.0005956506,0.0018632353,0.0006279808,3.243441e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019534793,0.0014245851,0.95247245,0.00016182984,0.0001375716,0.0000032740868,0.010449943,0.0010596314,0.0000029398782,0.0016829874,0.0000022985907,0.03258296],"study_design_scores_gemma":[0.00023725496,0.000021653823,0.97111064,0.00004117386,0.00015526878,3.4838268e-9,0.008867382,0.017991694,0.000035589375,0.00050754054,0.00056289847,0.00046892057],"about_ca_topic_score_codex":0.18750544,"about_ca_topic_score_gemma":0.8846414,"teacher_disagreement_score":0.6971359,"about_ca_system_score_codex":0.003483264,"about_ca_system_score_gemma":0.0021859056,"threshold_uncertainty_score":0.99992424},"labels":[],"label_agreement":null},{"id":"W4281388819","doi":"10.32920/ryerson.17317268","title":"Smart payment systems, digital divide and transit inequity: a study of the Toronto Transit Commission's implementation of the Presto System","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Digital divide; Public transport; Equity (law); Transit (satellite); Smart city; Payment; Downtown; Business; Subsidy; Geography; Economic growth; Finance; Political science; Transport engineering; Computer science; Engineering; Economics; Computer security; Information and Communications Technology; Internet of Things","score_opus":0.03236637831581859,"score_gpt":0.32420629213534663,"score_spread":0.29183991381952806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281388819","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9871149,0.0004820851,0.0001579732,0.0003863591,0.00071556907,0.0040242663,0.00037924372,0.00004406586,0.0066955346],"genre_scores_gemma":[0.9990841,0.000011429272,0.0000039779115,0.000007756882,0.000047469093,0.00016524417,0.000014470527,0.000011587793,0.0006539495],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968407,0.0006134624,0.0007898188,0.00039879058,0.0011475051,0.00020971478],"domain_scores_gemma":[0.99862075,0.00008705609,0.00045621177,0.00065899093,0.000100956255,0.000076019816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011092718,0.0002094169,0.000477083,0.000020021764,0.0005532087,0.00013364232,0.00091704144,0.00009996023,0.00022157363],"category_scores_gemma":[0.000010007774,0.000120571574,0.00019764312,0.00013965792,0.00017322252,0.00022983844,0.00038329916,0.00022844777,8.058336e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038916685,0.00036959077,0.9271257,0.0010214531,0.00018996395,8.613054e-7,0.06874528,0.00011875059,0.00002229528,0.0009999766,0.00014507669,0.0012221555],"study_design_scores_gemma":[0.0006732208,0.00010779211,0.7296069,0.00020668373,0.00034051997,2.0995594e-7,0.2660598,0.000020716043,0.000047724807,0.00008400321,0.0026577297,0.00019466798],"about_ca_topic_score_codex":0.1924175,"about_ca_topic_score_gemma":0.20788443,"teacher_disagreement_score":0.19751875,"about_ca_system_score_codex":0.00033702937,"about_ca_system_score_gemma":0.00034088775,"threshold_uncertainty_score":0.81296027},"labels":[],"label_agreement":null},{"id":"W4281389211","doi":"10.32920/17329601.v1","title":"Urban cycling equity : an analysis of equity based approaches in public bike sharing program development in Toronto","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University; York University","funders":"","keywords":"Equity (law); Business; Demographics; Public transport; Enthusiasm; Public economics; Political science; Transport engineering; Economics; Sociology; Engineering; Psychology","score_opus":0.24333482562013403,"score_gpt":0.4226473614010815,"score_spread":0.17931253578094747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281389211","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94141203,0.00019303088,0.00047554055,0.00013826955,0.00014250052,0.00118463,0.000021038988,0.00017994105,0.056253035],"genre_scores_gemma":[0.99337727,0.000009513889,0.0053447294,0.000030698928,0.000042173215,0.0004944645,0.00053830777,0.000015882013,0.00014694459],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9952787,0.00036128442,0.0012197901,0.0012373755,0.0011397646,0.0007630609],"domain_scores_gemma":[0.99838996,0.00008110817,0.0004128363,0.00074319396,0.000087422086,0.00028550217],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0076936022,0.0003098419,0.00091362343,0.00060965266,0.00027318558,0.00031183547,0.001975597,0.0003412115,0.0028793658],"category_scores_gemma":[0.00017327012,0.00032095547,0.000308985,0.0017474036,0.00019805419,0.0005956506,0.0018632353,0.0006279808,3.243441e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019534793,0.0014245851,0.95247245,0.00016182984,0.0001375716,0.0000032740868,0.010449943,0.0010596314,0.0000029398782,0.0016829874,0.0000022985907,0.03258296],"study_design_scores_gemma":[0.00023725496,0.000021653823,0.97111064,0.00004117386,0.00015526878,3.4838268e-9,0.008867382,0.017991694,0.000035589375,0.00050754054,0.00056289847,0.00046892057],"about_ca_topic_score_codex":0.18750544,"about_ca_topic_score_gemma":0.8846414,"teacher_disagreement_score":0.6971359,"about_ca_system_score_codex":0.003483264,"about_ca_system_score_gemma":0.0021859056,"threshold_uncertainty_score":0.99992424},"labels":[],"label_agreement":null},{"id":"W4281397301","doi":"10.32920/ryerson.17317268.v1","title":"Smart payment systems, digital divide and transit inequity: a study of the Toronto Transit Commission's implementation of the Presto System","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Digital divide; Public transport; Equity (law); Transit (satellite); Smart city; Payment; Business; Downtown; Modernization theory; Subsidy; Economic growth; Geography; Finance; Political science; Transport engineering; Computer science; Engineering; Economics; Computer security; Information and Communications Technology; Internet of Things","score_opus":0.03236637831581859,"score_gpt":0.32420629213534663,"score_spread":0.29183991381952806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281397301","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9871149,0.0004820851,0.0001579732,0.0003863591,0.00071556907,0.0040242663,0.00037924372,0.00004406586,0.0066955346],"genre_scores_gemma":[0.9990841,0.000011429272,0.0000039779115,0.000007756882,0.000047469093,0.00016524417,0.000014470527,0.000011587793,0.0006539495],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968407,0.0006134624,0.0007898188,0.00039879058,0.0011475051,0.00020971478],"domain_scores_gemma":[0.99862075,0.00008705609,0.00045621177,0.00065899093,0.000100956255,0.000076019816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011092718,0.0002094169,0.000477083,0.000020021764,0.0005532087,0.00013364232,0.00091704144,0.00009996023,0.00022157363],"category_scores_gemma":[0.000010007774,0.000120571574,0.00019764312,0.00013965792,0.00017322252,0.00022983844,0.00038329916,0.00022844777,8.058336e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038916685,0.00036959077,0.9271257,0.0010214531,0.00018996395,8.613054e-7,0.06874528,0.00011875059,0.00002229528,0.0009999766,0.00014507669,0.0012221555],"study_design_scores_gemma":[0.0006732208,0.00010779211,0.7296069,0.00020668373,0.00034051997,2.0995594e-7,0.2660598,0.000020716043,0.000047724807,0.00008400321,0.0026577297,0.00019466798],"about_ca_topic_score_codex":0.1924175,"about_ca_topic_score_gemma":0.20788443,"teacher_disagreement_score":0.19751875,"about_ca_system_score_codex":0.00033702937,"about_ca_system_score_gemma":0.00034088775,"threshold_uncertainty_score":0.81296027},"labels":[],"label_agreement":null},{"id":"W4281482704","doi":"10.1007/978-981-19-0968-9_7","title":"Integrating 3D Modeling and GIS-Based Land Use and Multimodal Transport Accessibility Evaluation Model to Design and Retrofit Sustainable Bridges","year":2022,"lang":"en","type":"book-chapter","venue":"Lecture notes in civil engineering","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Bridge (graph theory); Geographic information system; Interoperability; Computer science; Transport engineering; Retrofitting; Sustainability; Conceptual model; Building information modeling; Multimodal transport; Geospatial analysis; Land use; Systems engineering; Engineering; Construction engineering; Civil engineering; Database; Geography","score_opus":0.03861210238115263,"score_gpt":0.2839254288061988,"score_spread":0.24531332642504616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281482704","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22904561,0.0009980097,0.76758206,0.00016896697,0.00007053229,0.0012934988,0.00003173878,0.0001059105,0.00070368755],"genre_scores_gemma":[0.9840257,0.0000748748,0.015373976,0.00005316459,0.00007012585,0.000063651416,0.00004152088,0.00005370551,0.00024323538],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977964,0.00006416425,0.00041291557,0.0007838134,0.00051607133,0.00042663797],"domain_scores_gemma":[0.99891514,0.00043311506,0.000086977554,0.00024064403,0.00016199928,0.0001620988],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0020679364,0.0003787882,0.00046099725,0.00027631532,0.00032911598,0.00018322194,0.00016846611,0.00034252327,0.00008680757],"category_scores_gemma":[0.0006590021,0.00039339552,0.000054493572,0.00014320764,0.00008740582,0.0005303416,0.000050504474,0.0007016217,1.0380769e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059813534,0.000009919368,0.027981918,0.00024321143,0.000014518319,0.000011579516,0.0031491762,0.9648244,0.000037422342,0.00037190854,5.7146923e-7,0.0032955557],"study_design_scores_gemma":[0.00037473845,0.0000278048,0.003890272,0.00018711387,0.000087203865,4.1226747e-7,0.000039513037,0.9916878,0.000019007637,0.0031770845,0.00008035743,0.00042869805],"about_ca_topic_score_codex":0.0031286126,"about_ca_topic_score_gemma":0.012607192,"teacher_disagreement_score":0.75498015,"about_ca_system_score_codex":0.0003891051,"about_ca_system_score_gemma":0.00029087413,"threshold_uncertainty_score":0.9998518},"labels":[],"label_agreement":null},{"id":"W4281485703","doi":"10.1186/s12544-022-00547-0","title":"Implications of COVID-19 for future travel behaviour in the rural periphery","year":2022,"lang":"en","type":"article","venue":"European Transport Research Review","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Transport Canada","keywords":"Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Transport engineering; Engineering; Forensic engineering; Virology; Medicine; Outbreak","score_opus":0.17088704544184066,"score_gpt":0.4474555774101848,"score_spread":0.2765685319683442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281485703","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49959815,0.18746658,0.00077183114,0.17453678,0.00050685415,0.015236835,0.001684911,0.00014862619,0.12004946],"genre_scores_gemma":[0.9851219,0.012075574,0.00005176525,0.0012020741,0.00018865633,0.00044607645,0.00018961285,0.000019093393,0.00070522033],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.995532,0.0023211793,0.00052884594,0.00029085463,0.0008680658,0.00045910603],"domain_scores_gemma":[0.9988961,0.0002273822,0.00009681364,0.00046541585,0.00014357101,0.00017069305],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01579581,0.000103863014,0.00026543118,0.00008577992,0.0011815735,0.000019751957,0.0014070271,0.000021554093,0.0016592275],"category_scores_gemma":[0.00012495919,0.00007906043,0.0002480516,0.0012664895,0.00040956392,0.00011480205,0.00002185191,0.00054615404,0.0000052100645],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012413312,0.0011925496,0.8559525,0.0049323286,0.000030736795,0.00009938743,0.057636566,0.000008235712,0.00012090169,0.02526979,0.02463964,0.029993234],"study_design_scores_gemma":[0.00018931698,0.000055425437,0.5426271,0.0000807262,0.00002486102,7.0745546e-7,0.0110531375,1.6447218e-7,0.0000010980549,0.00036114932,0.44552195,0.00008440067],"about_ca_topic_score_codex":0.0010864118,"about_ca_topic_score_gemma":0.00263696,"teacher_disagreement_score":0.4855238,"about_ca_system_score_codex":0.00012954243,"about_ca_system_score_gemma":0.0007017628,"threshold_uncertainty_score":0.9992534},"labels":[],"label_agreement":null},{"id":"W4281553550","doi":"10.32920/19772932","title":"Transportation and well-being: exploring post-secondary students' commute satisfaction and its relationship to campus participation and success","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University; McGill University","funders":"","keywords":"Psychology; Logistic regression; Perception; University campus; Medicine; Engineering","score_opus":0.05565623704997254,"score_gpt":0.352147865404873,"score_spread":0.29649162835490045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281553550","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957974,0.00040896787,0.000097887685,0.0010205521,0.00041182205,0.00090540346,0.000041956315,0.00010874358,0.0012072681],"genre_scores_gemma":[0.99855083,0.00037060762,0.00013303594,0.00013198679,0.00007072951,0.0002564562,0.00017031755,0.000016036623,0.00030002033],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99814135,0.00021568984,0.00040853338,0.0005396769,0.00046556658,0.00022921026],"domain_scores_gemma":[0.9991617,0.00020122637,0.00015755816,0.00016498295,0.000101149235,0.00021335867],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085343467,0.00019172521,0.00024809188,0.00014983838,0.0010077093,0.00029672388,0.00014210757,0.00015569018,0.00041519597],"category_scores_gemma":[0.00006497018,0.00021159515,0.000036429556,0.00016991809,0.00009022795,0.00081293733,0.00009001995,0.00049763615,0.0000017758631],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003766094,0.000026576023,0.95497274,0.00013293941,0.000021271711,0.000003190471,0.03957384,0.000031123353,0.00001541584,0.002629998,0.000008278619,0.002546948],"study_design_scores_gemma":[0.0002466264,0.000036512523,0.99128985,0.000041656334,0.00009141444,1.24378e-7,0.0045375247,0.000018780445,0.000030985833,0.003112334,0.00035389725,0.00024026571],"about_ca_topic_score_codex":0.014061632,"about_ca_topic_score_gemma":0.056306224,"teacher_disagreement_score":0.042244595,"about_ca_system_score_codex":0.000091599184,"about_ca_system_score_gemma":0.000101464844,"threshold_uncertainty_score":0.9925038},"labels":[],"label_agreement":null},{"id":"W4281563214","doi":"10.32920/19772932.v1","title":"Transportation and well-being: exploring post-secondary students' commute satisfaction and its relationship to campus participation and success","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University; McGill University","funders":"","keywords":"Psychology; Logistic regression; Perception; University campus; Medicine; Engineering","score_opus":0.05565623704997254,"score_gpt":0.352147865404873,"score_spread":0.29649162835490045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281563214","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957974,0.00040896787,0.000097887685,0.0010205521,0.00041182205,0.00090540346,0.000041956315,0.00010874358,0.0012072681],"genre_scores_gemma":[0.99855083,0.00037060762,0.00013303594,0.00013198679,0.00007072951,0.0002564562,0.00017031755,0.000016036623,0.00030002033],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99814135,0.00021568984,0.00040853338,0.0005396769,0.00046556658,0.00022921026],"domain_scores_gemma":[0.9991617,0.00020122637,0.00015755816,0.00016498295,0.000101149235,0.00021335867],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085343467,0.00019172521,0.00024809188,0.00014983838,0.0010077093,0.00029672388,0.00014210757,0.00015569018,0.00041519597],"category_scores_gemma":[0.00006497018,0.00021159515,0.000036429556,0.00016991809,0.00009022795,0.00081293733,0.00009001995,0.00049763615,0.0000017758631],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003766094,0.000026576023,0.95497274,0.00013293941,0.000021271711,0.000003190471,0.03957384,0.000031123353,0.00001541584,0.002629998,0.000008278619,0.002546948],"study_design_scores_gemma":[0.0002466264,0.000036512523,0.99128985,0.000041656334,0.00009141444,1.24378e-7,0.0045375247,0.000018780445,0.000030985833,0.003112334,0.00035389725,0.00024026571],"about_ca_topic_score_codex":0.014061632,"about_ca_topic_score_gemma":0.056306224,"teacher_disagreement_score":0.042244595,"about_ca_system_score_codex":0.000091599184,"about_ca_system_score_gemma":0.000101464844,"threshold_uncertainty_score":0.9925038},"labels":[],"label_agreement":null},{"id":"W4281608338","doi":"10.24018/ejai.2022.1.3.9","title":"Machine Learning Model to Forecast Demand of Boston Bike-Ride Sharing","year":2022,"lang":"en","type":"article","venue":"European Journal of Artificial Intelligence and Machine Learning","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Renting; Bike sharing; Revenue; Economic rent; Transport engineering; Demand forecasting; Operations research; Computer science; Revenue sharing; Engineering; Business; Finance; Economics; Civil engineering","score_opus":0.08167029365445776,"score_gpt":0.3143655153543865,"score_spread":0.23269522169992873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281608338","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9174074,0.0008624497,0.07682281,0.0006446873,0.00021281114,0.00012768053,0.0000065008426,0.00003242866,0.0038832529],"genre_scores_gemma":[0.9976833,0.00014387758,0.001146647,0.00009192068,0.00019595976,9.861934e-7,0.000004314095,0.000027520353,0.0007054652],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99745035,0.0006306285,0.0008255641,0.00025627247,0.0005163451,0.00032082418],"domain_scores_gemma":[0.99887127,0.00010641653,0.0005445655,0.000106509106,0.00015032686,0.00022091763],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0049711396,0.00015253578,0.0003084009,0.00026357413,0.0011814334,0.00009875484,0.0004956862,0.000020268928,0.00034067448],"category_scores_gemma":[0.000437628,0.00014562753,0.00014268284,0.00042263375,0.00014419033,0.00030015907,0.00021531899,0.0009897558,0.000006663759],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050868816,0.0001599911,0.15609503,0.000036205154,0.00005096872,0.00012811681,0.040924776,0.60179615,0.0037585553,0.0026815163,0.000023853754,0.19383615],"study_design_scores_gemma":[0.00072392676,0.0054997713,0.016207464,0.00050659914,0.00040022246,0.000088859124,0.046044867,0.8312955,0.010509374,0.015915304,0.07097867,0.001829443],"about_ca_topic_score_codex":0.0005276344,"about_ca_topic_score_gemma":0.0003471217,"teacher_disagreement_score":0.22949934,"about_ca_system_score_codex":0.00004950775,"about_ca_system_score_gemma":0.000076473014,"threshold_uncertainty_score":0.908675},"labels":[],"label_agreement":null},{"id":"W4281612240","doi":"10.31219/osf.io/u72ky","title":"Inequalities of extreme commuting across Canada","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; University of Toronto","keywords":"Equity (law); Demographic economics; Inequality; Geography; Workforce; Immigration; Descriptive statistics; Sociology; Demography; Economics; Political science; Economic growth; Mathematics; Statistics","score_opus":0.1108903380781671,"score_gpt":0.3586767156439656,"score_spread":0.24778637756579847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281612240","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91273654,0.00026229047,0.000036809266,0.0005355252,0.0007913795,0.00017102477,0.00029382974,0.00004956554,0.085123025],"genre_scores_gemma":[0.9932737,0.000016631497,0.00011792406,0.000121576966,0.00010841593,0.000014761882,0.000068936715,0.000007411607,0.006270667],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99824184,0.00019284243,0.00040513097,0.00023455721,0.0006255485,0.00030007295],"domain_scores_gemma":[0.9990926,0.0001644326,0.00023270461,0.00035148463,0.0000926914,0.000066130204],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011782277,0.00011465956,0.00028962936,0.000010525272,0.0005368641,0.00004381516,0.00074457115,0.000094698495,0.0051859994],"category_scores_gemma":[0.00008689364,0.00011539768,0.00009384087,0.00011690244,0.00022675697,0.00005528848,0.00047921596,0.00042211043,3.0452222e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000683457,0.000038180104,0.95866376,0.00021023826,0.000030195104,0.0000054741336,0.034401774,0.00006772245,0.000003205881,0.0035194245,0.001524565,0.0015285979],"study_design_scores_gemma":[0.0003374387,0.000018775789,0.41158536,0.00013949178,0.00005451722,6.8916094e-8,0.3437995,0.000056460613,0.0002942875,0.012217814,0.23046912,0.0010271473],"about_ca_topic_score_codex":0.99770623,"about_ca_topic_score_gemma":0.99880075,"teacher_disagreement_score":0.54707843,"about_ca_system_score_codex":0.0002959447,"about_ca_system_score_gemma":0.0019663437,"threshold_uncertainty_score":0.99572337},"labels":[],"label_agreement":null},{"id":"W4281633347","doi":"10.1177/0739456x221096399","title":"Conceptualizing Location Efficiency: A Narrative Review and Scale-Based Consolidated Definition","year":2022,"lang":"en","type":"review","venue":"Journal of Planning Education and Research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"CLARITY; Scale (ratio); Narrative; Conceptual framework; Computer science; Term (time); Management science; Sociology; Regional science; Economics; Geography; Social science; Cartography","score_opus":0.2734839900881953,"score_gpt":0.5279441191495128,"score_spread":0.2544601290613175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281633347","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0008791383,0.99638706,0.000020084783,0.0005163517,0.000241366,0.000506471,0.0000068411496,0.000007849262,0.0014348564],"genre_scores_gemma":[0.0027827271,0.9965569,0.000117930394,0.00011054686,0.0001712488,0.000035806534,0.000056395802,0.000009414712,0.0001590504],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9966879,0.0016765052,0.0005855206,0.00020692614,0.00063217425,0.00021097092],"domain_scores_gemma":[0.9976645,0.0008384166,0.0005745536,0.000098384924,0.0006471984,0.0001769485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005623471,0.00012222919,0.0006124297,0.00040470113,0.0009667036,0.00013503963,0.00021573043,0.000120028555,0.000264744],"category_scores_gemma":[0.00089648896,0.000096636235,0.000085621075,0.0010047113,0.00053284585,0.00019012771,0.000021825477,0.0008784781,0.0000015714298],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046523917,0.0008613232,0.0021441372,0.06288996,0.00014287083,0.000020358786,0.10408054,0.0000025577372,9.885343e-7,0.001030897,0.021071615,0.8077082],"study_design_scores_gemma":[0.000101912134,0.0000772656,0.0001350096,0.02182113,0.0002336809,0.0000123522805,0.011720792,0.0000013662265,1.8968065e-7,0.00014578544,0.96563405,0.000116445895],"about_ca_topic_score_codex":0.00010424728,"about_ca_topic_score_gemma":0.0000129203545,"teacher_disagreement_score":0.94456244,"about_ca_system_score_codex":0.00022300846,"about_ca_system_score_gemma":0.0058883163,"threshold_uncertainty_score":0.9997474},"labels":[],"label_agreement":null},{"id":"W4281687743","doi":"10.1037/met0000493","title":"Spatial analysis for psychologists: How to use individual-level data for research at the geographically aggregated level.","year":2022,"lang":"en","type":"article","venue":"Psychological Methods","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"PsycINFO; Data science; Variation (astronomy); Computer science; Spatial analysis; Variety (cybernetics); Cluster analysis; Information retrieval; Data mining; Statistics; Artificial intelligence; MEDLINE; Mathematics","score_opus":0.7344584376473206,"score_gpt":0.5972475058072007,"score_spread":0.1372109318401199,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281687743","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30938113,0.00022032138,0.64398307,0.034033276,0.0008497061,0.0032932106,0.0075971186,0.00014352439,0.0004986411],"genre_scores_gemma":[0.6923481,0.000028777744,0.29956916,0.0020834815,0.00031141104,0.0017388844,0.00094713445,0.000023500877,0.0029495333],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9904068,0.0051776664,0.00050688756,0.0016629164,0.0011672932,0.0010784277],"domain_scores_gemma":[0.989572,0.0075327386,0.00020586912,0.0019469828,0.00041164676,0.0003307845],"candidate_categories":["metaresearch","sts","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.035835244,0.00022932504,0.0005086448,0.0003703114,0.00360186,0.00040712144,0.004089036,0.00025259878,0.001472685],"category_scores_gemma":[0.009731805,0.00015670032,0.00043769338,0.0044604717,0.0011140896,0.00023459758,0.0008962885,0.00069949427,0.0000046423247],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0032616945,0.002044804,0.47559804,0.000025360767,0.0014250446,0.000017693159,0.0033065528,0.00005474138,0.0010153498,0.0030513075,0.09767801,0.41252142],"study_design_scores_gemma":[0.0005693752,0.00043046052,0.6788889,0.0000023119455,0.00025735647,4.853953e-7,0.0006697433,0.000079069454,0.000023506058,0.009733658,0.30909303,0.000252101],"about_ca_topic_score_codex":0.0016767306,"about_ca_topic_score_gemma":0.0070786322,"teacher_disagreement_score":0.41226932,"about_ca_system_score_codex":0.00012468052,"about_ca_system_score_gemma":0.00006787795,"threshold_uncertainty_score":0.99944013},"labels":[],"label_agreement":null},{"id":"W4281696251","doi":"10.1111/tesg.12521","title":"Gender, Immigration and Commuting in Metropolitan Canada","year":2022,"lang":"en","type":"article","venue":"Tijdschrift voor Economische en Sociale Geografie","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"York University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Microdata (statistics); Metropolitan area; Immigration; Demographic economics; Census; Multinomial logistic regression; Geography; Transit (satellite); Journey to work; Public transport; Demography; Sociology; Political science; Economics; Population","score_opus":0.015902110492117077,"score_gpt":0.26080713331539657,"score_spread":0.2449050228232795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281696251","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95031035,0.0006750059,0.000008615588,0.00185317,0.00032244748,0.00028293216,0.000054361197,0.000049586488,0.046443544],"genre_scores_gemma":[0.9983751,0.00004030698,0.00009822533,0.00037575813,0.00024114652,0.00006054685,0.000044197986,0.000015109257,0.0007495852],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981598,0.00039073842,0.00037853577,0.0003369618,0.00024697036,0.00048695618],"domain_scores_gemma":[0.9992975,0.00021734543,0.00014518283,0.00017152423,0.000030253104,0.0001381679],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001513051,0.00014149534,0.0002659759,0.00008781968,0.0013995215,0.00007998736,0.00032938836,0.00008246025,0.0010721891],"category_scores_gemma":[0.00007192672,0.00017755365,0.000068056084,0.0002892057,0.00018586959,0.0002720426,0.000108389504,0.0004168416,0.000003482843],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002162277,0.00006421926,0.964568,0.000014881609,0.00003128089,0.000009896904,0.007914923,0.000016504484,0.000021946022,0.022546995,0.0013695266,0.0034201648],"study_design_scores_gemma":[0.0012627622,0.000033594093,0.5931379,0.0000051678644,0.000039140552,8.004326e-7,0.118564844,0.00016376172,0.000042003143,0.003689904,0.28249276,0.0005673211],"about_ca_topic_score_codex":0.9296067,"about_ca_topic_score_gemma":0.9817826,"teacher_disagreement_score":0.3714301,"about_ca_system_score_codex":0.0008134274,"about_ca_system_score_gemma":0.0014758393,"threshold_uncertainty_score":0.9999005},"labels":[],"label_agreement":null},{"id":"W4281740313","doi":"10.1177/23998083221104489","title":"Monitoring the well-being of vulnerable transit riders using machine learning based sentiment analysis and social media: Lessons from COVID-19","year":2022,"lang":"en","type":"article","venue":"Environment and Planning B Urban Analytics and City Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Social distance; Public transport; Pandemic; Data collection; Population; Transit (satellite); Social media; Public health; Business; Mass gathering; Ethnic group; Psychology; Coronavirus disease 2019 (COVID-19); Advertising; Geography; Applied psychology; Public relations; Political science; Environmental health; Transport engineering; Medicine; Sociology; Engineering","score_opus":0.043431840870996136,"score_gpt":0.2973776065069751,"score_spread":0.2539457656359789,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281740313","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948796,0.000582083,0.0033333162,0.0009394922,0.000056190496,0.00007872005,0.000022883456,0.00001159716,0.000096109645],"genre_scores_gemma":[0.99952173,0.000055999728,0.00021789651,0.00007400154,0.000055379733,0.0000021287815,0.00001016528,0.000003925495,0.00005876724],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99830955,0.00018926314,0.00020460985,0.000383242,0.0006486696,0.00026463345],"domain_scores_gemma":[0.99922734,0.00036211946,0.00014425129,0.000099569195,0.000009438077,0.00015728126],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0021701984,0.00011495505,0.00021996623,0.00015221207,0.0047781477,0.00014075002,0.00020451703,0.000033119377,0.00017196246],"category_scores_gemma":[0.00005209747,0.00010152742,0.000061500825,0.00044129288,0.001136851,0.00015793934,0.00008527272,0.0002931381,8.318583e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012645443,0.000021922768,0.951189,0.000006182747,0.000049908365,0.000004103502,0.02922481,0.018884506,0.00041583518,0.00006979868,0.0000027828853,0.00011854384],"study_design_scores_gemma":[0.0005463443,0.00003346252,0.7551491,0.000013982177,0.0009589962,3.3683747e-7,0.03436542,0.2054698,0.00062873267,0.00059938675,0.0018846709,0.0003497241],"about_ca_topic_score_codex":0.004674196,"about_ca_topic_score_gemma":0.00024478426,"teacher_disagreement_score":0.19603983,"about_ca_system_score_codex":0.00010795115,"about_ca_system_score_gemma":0.00009042387,"threshold_uncertainty_score":0.9965175},"labels":[],"label_agreement":null},{"id":"W4281804586","doi":"10.1155/2022/7732485","title":"Evaluation of Dockless Bike-Sharing Transfer Services around Metro Stations considering Spatial Heterogeneity","year":2022,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Humanities and Social Science Fund of Ministry of Education of China; Natural Science Foundation of Shandong Province; Ministry of Education of the People's Republic of China; National Natural Science Foundation of China","keywords":"Transfer station; Metro station; Bike sharing; Transport engineering; Transfer (computing); Benchmark (surveying); Public transport; Computer science; Engineering; Geography; Cartography","score_opus":0.04839979545623061,"score_gpt":0.34849470209063604,"score_spread":0.3000949066344054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281804586","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9919388,0.0004026016,0.0065102363,0.00010932321,0.00053769065,0.00030501722,0.00007696956,0.00001644058,0.00010289691],"genre_scores_gemma":[0.99889374,0.000039524253,0.00085947255,0.000022869026,0.000100204335,0.000017941818,0.000049390834,0.0000120702925,0.0000048102124],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99676526,0.00024402782,0.0008454522,0.0001875833,0.0017683821,0.00018931633],"domain_scores_gemma":[0.9983182,0.00008418309,0.00047866814,0.00011963257,0.0009105519,0.00008874637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027520736,0.00011251541,0.0002747607,0.00020075572,0.00047251422,0.000028953866,0.00025359634,0.000040534713,0.00027763113],"category_scores_gemma":[0.000027466085,0.00012012097,0.00018348481,0.00041712666,0.00008320681,0.000998446,0.0000030060592,0.00022542417,2.632211e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035194802,0.00035685799,0.5202976,0.00013283693,0.00019084082,0.000013367108,0.039038558,0.41160238,0.011475091,0.0005497426,0.0000012640126,0.015989516],"study_design_scores_gemma":[0.0025846509,0.00020787657,0.94408983,0.000072650546,0.00080078054,0.0000011656139,0.0361272,0.00077499624,0.007604888,0.0070069362,0.00048880343,0.00024021255],"about_ca_topic_score_codex":0.0010210533,"about_ca_topic_score_gemma":0.02802433,"teacher_disagreement_score":0.42379224,"about_ca_system_score_codex":0.00023393452,"about_ca_system_score_gemma":0.0003853985,"threshold_uncertainty_score":0.9897117},"labels":[],"label_agreement":null},{"id":"W4281825999","doi":"10.3390/ijerph19127130","title":"The Impact of COVID-19 on Travel Mode Choice Behavior in Terms of Shared Mobility: A Case Study in Beijing, China","year":2022,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"National Natural Science Foundation of China","keywords":"Beijing; Public transport; Context (archaeology); Mixed logit; Travel behavior; Preference; Mode choice; China; Sharing economy; Business; Geography; Economics; Transport engineering; Computer science; Logistic regression; Microeconomics; Engineering","score_opus":0.13649559574220496,"score_gpt":0.5018501689522465,"score_spread":0.3653545732100416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281825999","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968046,0.00012154088,0.0000030395329,0.0022602633,0.00004732602,0.00044825987,0.00019902787,8.4398806e-7,0.00011510558],"genre_scores_gemma":[0.9997132,0.00015860453,0.000004983316,0.000026435331,0.000033309265,0.000023765931,0.0000055263063,0.0000038466787,0.00003035473],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99665815,0.000927596,0.00057765027,0.00014177614,0.0014090084,0.0002858069],"domain_scores_gemma":[0.9988152,0.0004854763,0.00026096802,0.000101944206,0.000027013795,0.0003094152],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007047486,0.0000607197,0.0001729718,0.0003537914,0.00030956298,0.000047413407,0.00050162215,0.000021613629,0.00032425544],"category_scores_gemma":[0.0004076767,0.000044420383,0.000068645124,0.00022221255,0.00035886077,0.00024354727,0.00009610017,0.0005389264,1.092698e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023129112,0.0044240197,0.9744989,0.00000505368,0.000021729351,0.00024172009,0.013637332,0.000059031292,0.000044211516,0.00004673825,0.000022131639,0.006767843],"study_design_scores_gemma":[0.0009535836,0.0014741826,0.97090566,0.000006639354,9.430953e-7,0.00002411911,0.026048811,0.000052448962,0.0000013205747,0.00037101153,0.0001301238,0.000031176918],"about_ca_topic_score_codex":0.0735378,"about_ca_topic_score_gemma":0.026423628,"teacher_disagreement_score":0.04711417,"about_ca_system_score_codex":0.0017526307,"about_ca_system_score_gemma":0.0009984527,"threshold_uncertainty_score":0.9913416},"labels":[],"label_agreement":null},{"id":"W4281852132","doi":"10.1093/sleep/zsac079.106","title":"0108 The Effect of Reward Motivation on Placekeeping Performance After Sleep Deprivation","year":2022,"lang":"en","type":"article","venue":"SLEEP","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Sleep deprivation; Psychomotor vigilance task; Evening; Psychology; Effects of sleep deprivation on cognitive performance; Cognition; Morning; Vigilance (psychology); Actigraphy; Elementary cognitive task; Psychomotor learning; Task (project management); Developmental psychology; Audiology; Cognitive psychology; Medicine; Psychiatry; Insomnia","score_opus":0.010868510411491998,"score_gpt":0.25008058556853646,"score_spread":0.23921207515704446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281852132","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99503237,0.000041122414,0.00007517387,0.0005355906,0.00030662373,0.00032877486,0.000004190289,0.000035866695,0.003640259],"genre_scores_gemma":[0.99953485,0.0000032127996,0.000010094661,0.00011602164,0.00010161376,0.00008849477,0.000010167996,0.000006068849,0.00012947696],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99884754,0.00023652411,0.00016317714,0.00015796407,0.0004370215,0.00015776006],"domain_scores_gemma":[0.9994569,0.00020910347,0.000099472454,0.0001859492,0.000025205933,0.000023399227],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010793803,0.0000671412,0.00009439998,0.000042788743,0.00060292793,0.00001670221,0.00022677485,0.000029658415,0.0003933597],"category_scores_gemma":[0.00012748083,0.000050864066,0.00005997364,0.0003200652,0.00009531424,0.00017347433,0.000032014865,0.00016362105,0.0000071612917],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018074174,0.000020671521,0.98366565,0.00001808719,0.0000067653546,5.063615e-7,0.0032785183,0.0007622768,0.000072549585,0.0001354715,0.000035531542,0.011823206],"study_design_scores_gemma":[0.00025379338,0.00019337589,0.994826,0.000010781331,0.000017858074,5.6135267e-8,0.0002832755,0.0005056287,0.0017006496,0.00015741237,0.0019746956,0.00007645168],"about_ca_topic_score_codex":0.00025948806,"about_ca_topic_score_gemma":0.00010401765,"teacher_disagreement_score":0.011746755,"about_ca_system_score_codex":0.00009877477,"about_ca_system_score_gemma":0.000016681368,"threshold_uncertainty_score":0.46372953},"labels":[],"label_agreement":null},{"id":"W4281906841","doi":"10.1155/2022/8598320","title":"Research on Nonlinear Associations and Interactions for Short-Distance Travel Mode Choice of Car Users","year":2022,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Mode choice; Mode (computer interface); Travel survey; Travel behavior; Transport engineering; Sustainable transport; Discrete choice; Multinomial logistic regression; Computer science; Engineering; Econometrics; Public transport; Mathematics; Statistics; Sustainability","score_opus":0.07740551209349365,"score_gpt":0.4369491234755247,"score_spread":0.35954361138203106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281906841","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958762,0.0001025722,0.0021927191,0.0005616356,0.00030005246,0.00027146802,0.00044289566,0.000006289304,0.00024618485],"genre_scores_gemma":[0.9972844,0.000054581542,0.0023023246,0.00002114301,0.00014075387,0.000020520527,0.00006167638,0.000008831786,0.00010577805],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985308,0.00010146956,0.0004638122,0.00012844754,0.00060996786,0.00016552408],"domain_scores_gemma":[0.9985766,0.00047892347,0.00027923138,0.00007040537,0.00052101264,0.000073864205],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089596905,0.00006191689,0.00018401946,0.00017299104,0.0006046104,0.000014164125,0.00014594605,0.000030529227,0.000022732713],"category_scores_gemma":[0.00009124588,0.00006485166,0.00011074273,0.0003913808,0.00010495321,0.00046591414,0.0000013581707,0.00034783088,6.555949e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0030759312,0.002396711,0.61307704,0.0002651467,0.00035651738,0.00002205219,0.13092658,0.16619922,0.033874143,0.023321861,0.00049064663,0.025994118],"study_design_scores_gemma":[0.001114178,0.0004746229,0.943005,0.000050335988,0.000091492264,2.6080846e-7,0.03647954,0.00019407958,0.0017152858,0.004046532,0.012683473,0.00014518497],"about_ca_topic_score_codex":0.00022503878,"about_ca_topic_score_gemma":0.0046067573,"teacher_disagreement_score":0.32992795,"about_ca_system_score_codex":0.00018423364,"about_ca_system_score_gemma":0.00019625934,"threshold_uncertainty_score":0.46502358},"labels":[],"label_agreement":null},{"id":"W4281944474","doi":"10.1155/2022/2463208","title":"Operational Efficiency Comparison and Transportation Resilience: Case Study of Nanjing, China","year":2022,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Winter storm; Extreme weather; Resilience (materials science); Transport engineering; Environmental science; Snow; TRIPS architecture; Adverse weather; Rush hour; Climate change; Meteorology; Geography; Engineering","score_opus":0.015487397859852392,"score_gpt":0.33029452544811666,"score_spread":0.3148071275882643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281944474","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99793035,0.00029402846,0.00089484884,0.0001054574,0.0003109052,0.00037014802,0.000030038856,0.000012162783,0.000052086947],"genre_scores_gemma":[0.999175,0.000024373001,0.0006742837,0.000010492334,0.000051298182,0.000009968259,0.000019861067,0.000007934637,0.00002676454],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99773204,0.00015123237,0.0009344221,0.00018631194,0.0008445828,0.00015142164],"domain_scores_gemma":[0.99882036,0.00006800356,0.00069614046,0.00008506883,0.00023864035,0.000091809656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008768414,0.00010571849,0.00028818366,0.00016013737,0.0007329072,0.000019479201,0.00016435164,0.000033522745,0.0001215485],"category_scores_gemma":[0.000021683698,0.0001045276,0.000078596,0.0004758564,0.00012542041,0.00070387777,0.0000013443522,0.00027055372,7.7617806e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002928129,0.0012236031,0.6789265,0.000030584702,0.000026198119,0.0003445504,0.2135951,0.10109696,0.00089610356,0.00036981006,0.000011357596,0.003186414],"study_design_scores_gemma":[0.0014758086,0.0008662333,0.8225457,0.000014725336,0.00009301505,0.000013334709,0.17424686,0.000060275972,0.00013765917,0.00020799888,0.00022539248,0.0001129594],"about_ca_topic_score_codex":0.0013594179,"about_ca_topic_score_gemma":0.0086744735,"teacher_disagreement_score":0.14361922,"about_ca_system_score_codex":0.00006203816,"about_ca_system_score_gemma":0.00020197916,"threshold_uncertainty_score":0.5637004},"labels":[],"label_agreement":null},{"id":"W4282828550","doi":"10.3390/su14127184","title":"Developing an Objective Framework to Evaluate Street Functions","year":2022,"lang":"en","type":"article","venue":"Sustainability","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Transport engineering; Space (punctuation); Public transport; Urban planning; Public space; Quality (philosophy); Urban design; Computer science; Environmental planning; Business; Architectural engineering; Civil engineering; Engineering; Geography","score_opus":0.0310764103633731,"score_gpt":0.36975301300918423,"score_spread":0.3386766026458111,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4282828550","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98389286,0.000023972145,0.0077409097,0.004478813,0.00046668373,0.0009292553,0.000033715372,0.00019944347,0.00223436],"genre_scores_gemma":[0.99751514,4.5500929e-7,0.0009813381,0.00030673426,0.00015599004,0.0002804473,0.000016656779,0.000010354742,0.00073291076],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970211,0.0010561986,0.00024066717,0.00054921326,0.00061726413,0.0005155702],"domain_scores_gemma":[0.9982757,0.00021689947,0.000057510937,0.00046142287,0.0007644401,0.00022400678],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0033176101,0.000121114295,0.00016586436,0.000086394815,0.0032269997,0.0000694102,0.00043897328,0.000064319545,0.0013430938],"category_scores_gemma":[0.002132197,0.00013212058,0.000084080035,0.001185697,0.00023987176,0.00034980974,0.00014499016,0.00043619986,0.0000074042027],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007949527,0.00020510341,0.9069022,0.000021139136,0.000012478337,0.0000057961392,0.031134814,0.00048057188,0.000001525618,0.053583425,0.00013911826,0.0074343253],"study_design_scores_gemma":[0.00008572061,0.00010104864,0.5763387,0.0000021672051,0.000014726118,5.113839e-8,0.11161873,0.00001089597,0.000011198109,0.29755116,0.014068673,0.00019694772],"about_ca_topic_score_codex":0.010073495,"about_ca_topic_score_gemma":0.013502324,"teacher_disagreement_score":0.33056352,"about_ca_system_score_codex":0.003664436,"about_ca_system_score_gemma":0.0029559312,"threshold_uncertainty_score":0.99956983},"labels":[],"label_agreement":null},{"id":"W4282933118","doi":"10.3390/su14127293","title":"Cycling through the COVID-19 Pandemic to a More Sustainable Transport Future: Evidence from Case Studies of 14 Large Bicycle-Friendly Cities in Europe and North America","year":2022,"lang":"en","type":"article","venue":"Sustainability","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":80,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cycling; Recreation; TRIPS architecture; Coronavirus disease 2019 (COVID-19); Government (linguistics); Pandemic; Work (physics); Business; Geography; Transport engineering; Engineering; Political science; Medicine","score_opus":0.04548715927228058,"score_gpt":0.3644250117861752,"score_spread":0.3189378525138946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4282933118","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9838446,0.0036729367,0.00028843753,0.01032967,0.00012512629,0.001409848,0.00018215683,0.00008350347,0.00006373446],"genre_scores_gemma":[0.9981983,0.000288798,0.000072872484,0.0007983371,0.00010290608,0.00022362481,0.000013972793,0.0000144888445,0.0002867115],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9961316,0.0011656247,0.00062056375,0.00071570073,0.00060193846,0.0007645912],"domain_scores_gemma":[0.9969745,0.0012508235,0.00019995503,0.0005614607,0.0008163182,0.0001969058],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0032880707,0.00022906522,0.0004941264,0.00007888564,0.0022439864,0.000039626924,0.000556241,0.00005665781,0.000120158475],"category_scores_gemma":[0.004797883,0.00018597471,0.000101973106,0.002231508,0.0014701156,0.0005745815,0.0002840212,0.0005225658,2.643893e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019078469,0.00010362538,0.7230928,0.00025705673,0.000020393822,0.0006717214,0.27429792,0.00049213687,0.0000011278686,0.00043569139,0.00010361693,0.00033310708],"study_design_scores_gemma":[0.00027583409,0.00008906415,0.32487345,0.0000069529374,0.00004420188,0.0000036495644,0.64050907,0.000007309415,0.0000011309548,0.0072229216,0.026777225,0.00018918217],"about_ca_topic_score_codex":0.12130382,"about_ca_topic_score_gemma":0.091063686,"teacher_disagreement_score":0.39821935,"about_ca_system_score_codex":0.0013430425,"about_ca_system_score_gemma":0.0018879683,"threshold_uncertainty_score":0.99905497},"labels":[],"label_agreement":null},{"id":"W4282961678","doi":"10.1016/j.healthplace.2022.102828","title":"Examining the state, quality and strength of the evidence in the research on built environments and physical activity among children and youth: An overview of reviews from high income countries","year":2022,"lang":"en","type":"review","venue":"Health & Place","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":71,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; Public Health Agency of Canada; Health Canada; University of Ottawa","funders":"","keywords":"State (computer science); Quality (philosophy); Physical activity; Demographic economics; Geography; Psychology; Regional science; Gerontology; Economics; Computer science; Medicine; Physics; Physical medicine and rehabilitation","score_opus":0.4922086705776102,"score_gpt":0.5167130636513951,"score_spread":0.024504393073784936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4282961678","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.50844556,0.48995915,1.1014293e-7,0.00013437937,0.000019155103,0.001121884,0.00031173372,0.000001941563,0.000006069857],"genre_scores_gemma":[0.33186182,0.66799814,0.0000025368727,0.000036683465,0.000034806584,0.000036724967,0.000013967574,0.0000062594977,0.000009037581],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9863715,0.011294265,0.00058205577,0.0005026607,0.0009482427,0.00030127118],"domain_scores_gemma":[0.9933575,0.005119554,0.0007834282,0.00064044603,0.00001294694,0.000086174434],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014241495,0.00020710773,0.0010973365,0.000042579202,0.00071341236,0.00005754687,0.00068002765,0.00008394359,0.00001762387],"category_scores_gemma":[0.0004609616,0.00010400574,0.000066151035,0.00043518216,0.0013441142,0.00025413316,0.00021627719,0.0009323496,2.2275677e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007456251,0.0003321585,0.4187987,0.009221027,0.000040979972,6.6541156e-7,0.08143878,6.425083e-7,1.3028969e-7,0.0002866014,0.000027346598,0.4897784],"study_design_scores_gemma":[0.00009901792,0.000107940024,0.97829205,0.0059013567,0.000056303365,9.118589e-8,0.0013250898,7.78786e-7,2.1968317e-7,0.00013545058,0.0139790485,0.00010264783],"about_ca_topic_score_codex":0.09614519,"about_ca_topic_score_gemma":0.017764939,"teacher_disagreement_score":0.55949336,"about_ca_system_score_codex":0.00015250633,"about_ca_system_score_gemma":0.00041563454,"threshold_uncertainty_score":0.9913253},"labels":[],"label_agreement":null},{"id":"W4282972098","doi":"10.1080/01615440.2022.2080135","title":"Deep mapping the daily spaces of children and youth in the industrial city","year":2022,"lang":"en","type":"article","venue":"Historical Methods A Journal of Quantitative and Interdisciplinary History","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Portage Health Foundation; National Endowment for the Humanities","keywords":"Geography","score_opus":0.19394751888172918,"score_gpt":0.39373054202251373,"score_spread":0.19978302314078455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4282972098","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9464198,0.040963374,0.006102342,0.0029243985,0.0012290695,0.00024299537,0.000008942796,0.0000047325098,0.0021043508],"genre_scores_gemma":[0.9948184,0.00012369188,0.004693313,0.00008913895,0.0001608162,0.000004808562,0.0000010148198,0.000005852793,0.000102957645],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9961385,0.0026064026,0.0005439702,0.00016108374,0.00039739476,0.00015265676],"domain_scores_gemma":[0.9982781,0.0008929229,0.0005732564,0.000112599875,0.00007887138,0.000064291715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007054025,0.00010369172,0.0003447757,0.00018575115,0.0006540343,0.000014381157,0.00043582325,0.000051030896,0.000084870684],"category_scores_gemma":[0.00033888838,0.00006456631,0.00012944642,0.0003174937,0.0006972653,0.00024036963,0.00017421729,0.00073286693,6.307168e-8],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006757172,0.0003690546,0.09789065,0.00001619728,0.00008535269,0.000018031362,0.87582016,0.000009728495,0.0001512668,0.004962253,0.0054902807,0.014511314],"study_design_scores_gemma":[0.0017861447,0.0024578224,0.32203892,0.00011117242,0.0003414054,0.00002611723,0.60474885,0.00007450004,0.000010803405,0.016126746,0.051856235,0.00042132393],"about_ca_topic_score_codex":0.00086225633,"about_ca_topic_score_gemma":0.0002740138,"teacher_disagreement_score":0.27107134,"about_ca_system_score_codex":0.00084243965,"about_ca_system_score_gemma":0.00016697875,"threshold_uncertainty_score":0.5030369},"labels":[],"label_agreement":null},{"id":"W4282983805","doi":"10.1155/2022/9380884","title":"Reliability of Accessibility: An Interpreted Approach to Understanding Time-Varying Transit Accessibility","year":2022,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Punctuality; Reliability (semiconductor); Transport engineering; Computer science; Transit (satellite); Travel time; Engineering; Public transport","score_opus":0.03669572395697246,"score_gpt":0.32240968965177347,"score_spread":0.285713965694801,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4282983805","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9573943,0.00006192082,0.040056434,0.00021178294,0.0003842187,0.0005906379,0.00007580375,0.000048971167,0.0011759102],"genre_scores_gemma":[0.99221027,0.000008879544,0.007505475,0.000069214475,0.00008337491,0.000017374337,0.00005393432,0.000021094476,0.000030389021],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.996037,0.00049063296,0.0014617273,0.00048375878,0.0011773179,0.00034956037],"domain_scores_gemma":[0.9978829,0.00017165695,0.00089635485,0.00037520207,0.00037479977,0.00029909713],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032687709,0.00020177133,0.000579653,0.00026906765,0.0006051737,0.000051165065,0.00080220524,0.00009024856,0.00035816393],"category_scores_gemma":[0.00013167225,0.00019876604,0.00030988935,0.0011517969,0.00022784359,0.0025288102,0.000010730599,0.0005100186,4.5531146e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008373123,0.0043965434,0.46707442,0.0006143867,0.00017008332,0.000032258053,0.24025178,0.22599661,0.040538564,0.002253287,0.00004471172,0.010254239],"study_design_scores_gemma":[0.0020699396,0.0008472447,0.93600583,0.000101549056,0.00024191549,0.000001736935,0.03474207,0.00044963337,0.001970891,0.022689598,0.0003606258,0.0005189612],"about_ca_topic_score_codex":0.00018986946,"about_ca_topic_score_gemma":0.0002777049,"teacher_disagreement_score":0.4689314,"about_ca_system_score_codex":0.00070308894,"about_ca_system_score_gemma":0.00046106504,"threshold_uncertainty_score":0.8105444},"labels":[],"label_agreement":null},{"id":"W4283207095","doi":"10.1186/s12889-022-13611-0","title":"Cross-sectional and longitudinal associations between the built environment and walking: effect modification by socioeconomic status","year":2022,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Alberta Health Services; Alberta Cancer Foundation; University of Calgary","funders":"Health Canada; Centers for Disease Control and Prevention; Cumming School of Medicine, University of Calgary; Killam Trusts; Canadian Institutes of Health Research; Alberta Cancer Foundation; Partenariat Canadien Contre Le Cancer; Alberta Health Services","keywords":"Biostatistics; Socioeconomic status; Medicine; Effect modification; Cross-sectional study; Environmental health; Public health; Epidemiology; Gerontology; Built environment; Population; Internal medicine; Nursing","score_opus":0.07008018695282803,"score_gpt":0.35926934833635765,"score_spread":0.2891891613835296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283207095","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.992427,0.00052211585,0.00037174477,0.005609541,0.0000916734,0.00038701112,0.00035809563,0.00003350297,0.00019932742],"genre_scores_gemma":[0.9991392,0.00007085832,0.00003437409,0.00013151923,0.00012795816,0.00007394406,0.00022728901,0.0000060729053,0.0001888104],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99817055,0.00059621455,0.0002669169,0.00029592292,0.00030059533,0.00036982467],"domain_scores_gemma":[0.99905944,0.00041595264,0.00019121743,0.0001216163,0.000013584341,0.00019817783],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.004384649,0.0000756017,0.00013408496,0.00003395711,0.003145264,0.00023337993,0.00014411191,0.000043723092,0.00030715717],"category_scores_gemma":[0.000067325585,0.000066810426,0.000035589124,0.00007994704,0.0002584555,0.00026248716,0.000053181717,0.00020571063,0.000003830853],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000023661469,0.000026902302,0.9946705,0.0000072104676,0.000010182905,2.5784729e-8,0.0015579021,0.0000041466374,0.0000013334535,0.00048815986,0.00026669478,0.0029645434],"study_design_scores_gemma":[0.0002071815,0.00003597394,0.9767172,2.9003e-7,0.000004001062,9.0761944e-8,0.00024486566,0.00002836245,5.3553924e-7,0.00045095955,0.022247294,0.00006325777],"about_ca_topic_score_codex":0.0070371605,"about_ca_topic_score_gemma":0.0009466703,"teacher_disagreement_score":0.0219806,"about_ca_system_score_codex":0.0008694844,"about_ca_system_score_gemma":0.00051349064,"threshold_uncertainty_score":0.9995751},"labels":[],"label_agreement":null},{"id":"W4283362075","doi":"10.1177/03611981221103233","title":"Integrating Public Transit and Shared Micromobility Payments to Improve Transportation Equity in Seattle, WA","year":2022,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Equity (law); Disadvantaged; Payment; Public transport; Business; Economic growth; Public relations; Political science; Finance; Economics; Engineering; Transport engineering","score_opus":0.1340971648385581,"score_gpt":0.4432749458956015,"score_spread":0.3091777810570434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283362075","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98452616,0.00022095419,0.00065417535,0.010560082,0.00074343086,0.0024231616,0.00050040643,0.000042010797,0.00032959637],"genre_scores_gemma":[0.9974231,0.00024037983,0.0010312786,0.00012675626,0.00014374248,0.00033772475,0.00007795806,0.000051741317,0.0005672912],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98699045,0.0031480181,0.0021038172,0.00087950105,0.0053211744,0.0015570457],"domain_scores_gemma":[0.99490607,0.00097618724,0.0004827142,0.0005268179,0.0022913925,0.00081679097],"candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.015300607,0.00033540616,0.0006576234,0.001391258,0.002450314,0.00034465536,0.0018517416,0.00020878973,0.0011797027],"category_scores_gemma":[0.0003386085,0.0002955016,0.00040826434,0.004638556,0.0009920946,0.0015117783,0.000020080875,0.003456579,0.000005719769],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015723794,0.00072823773,0.9344484,0.00025076614,0.00008361197,0.00011469306,0.03657436,0.00030890966,0.006219772,0.0024835113,0.0010912113,0.016124133],"study_design_scores_gemma":[0.0017885246,0.0005948508,0.95814633,0.00015339455,0.000040859875,1.3241636e-7,0.020200523,0.00003697289,0.00051024975,0.0042936015,0.013934627,0.00029990159],"about_ca_topic_score_codex":0.067379884,"about_ca_topic_score_gemma":0.5489825,"teacher_disagreement_score":0.4816026,"about_ca_system_score_codex":0.0011371039,"about_ca_system_score_gemma":0.0018141095,"threshold_uncertainty_score":0.9999497},"labels":[],"label_agreement":null},{"id":"W4283377305","doi":"10.1371/journal.pone.0270098","title":"ALF–Score—A novel approach to build a predictive network–based walkability scoring system","year":2022,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Walkability; Computer science; Medicine; Physical medicine and rehabilitation; Physical activity","score_opus":0.07442718711913121,"score_gpt":0.2505896145371235,"score_spread":0.17616242741799226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283377305","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9663911,0.000076179225,0.0063218907,0.00032060652,0.00021661671,0.0014053888,0.00010812924,0.00037275403,0.024787331],"genre_scores_gemma":[0.9939141,5.375682e-7,0.004541462,0.00015844933,0.0005051994,0.0005296823,0.00002724101,0.000018948616,0.0003043703],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972092,0.0002232794,0.00032361416,0.000595031,0.0011013442,0.0005475191],"domain_scores_gemma":[0.9989875,0.0001142089,0.00010689305,0.00042535484,0.0001198272,0.00024620647],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001643589,0.00015037229,0.0003285349,0.000057686455,0.0012534149,0.00006353286,0.00058014545,0.00006209268,0.00013526877],"category_scores_gemma":[0.000092936905,0.00016037177,0.00009976733,0.0008664808,0.00013423478,0.00018005887,0.00012261738,0.0003273721,0.000009043759],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003045516,0.0055136606,0.976578,0.00043674128,0.00016656524,0.0000049925775,0.0066951825,0.0061354386,0.0008052234,0.002958686,0.00020944465,0.0001914927],"study_design_scores_gemma":[0.0028118037,0.0008764284,0.91120833,0.00083205686,0.001033017,8.804403e-7,0.019957183,0.054262627,0.0024641112,0.0011850487,0.0033059698,0.002062546],"about_ca_topic_score_codex":0.002267192,"about_ca_topic_score_gemma":0.00044138153,"teacher_disagreement_score":0.065369695,"about_ca_system_score_codex":0.00062527065,"about_ca_system_score_gemma":0.0002736155,"threshold_uncertainty_score":0.9640381},"labels":[],"label_agreement":null},{"id":"W4283378635","doi":"10.3390/ijerph19137706","title":"Rural–Urban Disparities in Realized Spatial Access to General Practitioners, Orthopedic Surgeons, and Physiotherapists among People with Osteoarthritis in Alberta, Canada","year":2022,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Alberta Health Services; Alberta Bone and Joint Health Institute; University of Calgary","funders":"McCaig Institute for Bone and Joint Health, Cumming School of Medicine, University of Calgary","keywords":"Metropolitan area; Medicine; Geospatial analysis; Rural area; Health care; Descriptive statistics; Rural health; Orthopedic surgery; Geography; Environmental health; Medical emergency; Family medicine; Surgery; Cartography","score_opus":0.021944678887904218,"score_gpt":0.3366525660192323,"score_spread":0.31470788713132813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283378635","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96784234,0.0003268111,0.000006502818,0.03124539,0.000111371046,0.00023442351,0.00008905132,0.0000012670216,0.000142816],"genre_scores_gemma":[0.9979193,0.0012238421,0.000014032741,0.00044662537,0.000101975296,0.00002704374,0.000039838964,0.0000064405117,0.0002209061],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973297,0.00051964977,0.0003200118,0.00014791999,0.0013191857,0.00036353047],"domain_scores_gemma":[0.99918866,0.00020994224,0.00013370026,0.00005360643,0.000040218692,0.00037387438],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016835373,0.0000687597,0.00016274535,0.00026925083,0.0003126811,0.00017577084,0.00028036287,0.000019398964,0.00040593714],"category_scores_gemma":[0.00008115151,0.0000642699,0.000015635525,0.00021510285,0.00019813635,0.00069117016,0.000100694975,0.00037974576,1.2690586e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021016804,0.00019242705,0.9872506,0.000007440234,0.00001063033,0.00004963177,0.0022482122,0.000011057828,0.0000052833475,0.00011772615,0.00059579336,0.009300974],"study_design_scores_gemma":[0.00082034274,0.00022071051,0.9853618,0.00003289413,3.7815613e-7,0.0000067994283,0.0031857886,0.000011360893,0.0000011321301,0.00014039145,0.010155249,0.00006312207],"about_ca_topic_score_codex":0.96827096,"about_ca_topic_score_gemma":0.99413526,"teacher_disagreement_score":0.030798765,"about_ca_system_score_codex":0.0009894482,"about_ca_system_score_gemma":0.001524546,"threshold_uncertainty_score":0.4444727},"labels":[],"label_agreement":null},{"id":"W4283396548","doi":"10.1080/01944363.2022.2033637","title":"Can We Retrofit Suburban Arterials?","year":2022,"lang":"en","type":"article","venue":"Journal of the American Planning Association","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Walkability; Retrofitting; Transport engineering; Suburbanization; Environmental planning; Urban planning; Geography; Built environment; Civil engineering; Metropolitan area; Engineering","score_opus":0.018592489961825703,"score_gpt":0.2955992225195361,"score_spread":0.27700673255771036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283396548","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9792507,0.000085077954,0.000012762142,0.01844388,0.001089666,0.000059028964,0.000016642018,0.000014913083,0.0010273042],"genre_scores_gemma":[0.9972937,0.000010612249,0.00005053064,0.00047935967,0.000533923,0.0000019787612,0.0000014926071,0.000006368665,0.0016220176],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99788284,0.0006298397,0.00032302737,0.00008046984,0.0008750579,0.00020878979],"domain_scores_gemma":[0.9975202,0.00018295538,0.002030233,0.00010019802,0.00010833869,0.00005808727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023256275,0.000060678423,0.00021662394,0.00006233486,0.0008806553,0.00006148762,0.00044278885,0.000019679845,0.000096670185],"category_scores_gemma":[0.0003986668,0.000048427737,0.00015848655,0.00050233834,0.00007850666,0.00013355304,0.00003158681,0.00035176997,9.156239e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038993614,0.00002748593,0.9809743,0.0000010930052,0.00003685717,0.0000045520933,0.0074672266,0.00019720114,0.00033824786,0.000037877886,0.01014921,0.0007269268],"study_design_scores_gemma":[0.00020570328,0.00010684344,0.9568414,0.00001484702,0.00006147286,0.000001623304,0.008685391,0.000012523175,0.00006916204,0.0017929048,0.032111723,0.000096371565],"about_ca_topic_score_codex":0.0010424117,"about_ca_topic_score_gemma":0.00016282662,"teacher_disagreement_score":0.024132894,"about_ca_system_score_codex":0.0010521658,"about_ca_system_score_gemma":0.0002654439,"threshold_uncertainty_score":0.67733777},"labels":[],"label_agreement":null},{"id":"W4283398132","doi":"10.1177/03611981221102154","title":"Learning-Based Model for Evaluating the Impact of Neighborhood Design on Travel Behavior","year":2022,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Retrofitting; Modal shift; Travel behavior; Modal; Bounded rationality; Sustainability; Mode choice; Transport engineering; Computer science; Land use; Reinforcement learning; Engineering; Public transport; Artificial intelligence","score_opus":0.29475631981009476,"score_gpt":0.506514038677947,"score_spread":0.21175771886785222,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283398132","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9726135,0.00008028947,0.021842258,0.0019652932,0.00022203183,0.0029564016,0.00019126544,0.000019741674,0.000109195076],"genre_scores_gemma":[0.99746245,0.000055111577,0.0009526616,0.000027682614,0.000109735214,0.0005584601,0.000027015325,0.00005016138,0.00075674156],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9871978,0.0043009375,0.0013834452,0.00041274616,0.0057463655,0.0009586668],"domain_scores_gemma":[0.9913856,0.0035204277,0.00078838994,0.00044286886,0.0035677233,0.00029501328],"candidate_categories":["sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.02020698,0.00023292907,0.00046489853,0.00067658,0.003494301,0.00010976982,0.0018124327,0.00013148849,0.000637182],"category_scores_gemma":[0.00056568603,0.00015415532,0.00097172137,0.0021767935,0.0009939424,0.0003816528,0.000005922492,0.0027698707,0.0000017074699],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0065611186,0.0009756702,0.36143434,0.000082657396,0.00013415495,0.000014216213,0.01766067,0.6040361,0.0023313756,0.0013614865,0.0010883283,0.004319879],"study_design_scores_gemma":[0.0025538825,0.0058489894,0.91529924,0.00010408171,0.00014383264,6.1859396e-8,0.0089739645,0.059985932,0.0005266102,0.0061477344,0.00018940684,0.00022624919],"about_ca_topic_score_codex":0.013579357,"about_ca_topic_score_gemma":0.015766481,"teacher_disagreement_score":0.5538649,"about_ca_system_score_codex":0.0006067487,"about_ca_system_score_gemma":0.0041470965,"threshold_uncertainty_score":0.9995308},"labels":[],"label_agreement":null},{"id":"W4283522576","doi":"10.1177/03611981221100241","title":"Joint Model of Transit Usage Frequency and In-Vehicle Safety Perception During the COVID-19 Pandemic","year":2022,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Pandemic; Affect (linguistics); Ordered probit; Perception; Transport engineering; Social distance; Transit (satellite); Socioeconomic status; Psychology; Environmental health; Business; Public transport; Coronavirus disease 2019 (COVID-19); Medicine; Engineering; Econometrics; Economics; Population","score_opus":0.17061307525898856,"score_gpt":0.41271985810006695,"score_spread":0.2421067828410784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283522576","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.990078,0.00024965435,0.00093709317,0.007066182,0.00015062866,0.0011530953,0.00016255006,0.000020923866,0.0001819027],"genre_scores_gemma":[0.99753135,0.0014327568,0.00028582112,0.00008658313,0.00007266422,0.00008091331,0.000011098967,0.000026522455,0.00047227676],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9901397,0.0030349283,0.001543937,0.00041556696,0.004082811,0.00078303047],"domain_scores_gemma":[0.99696946,0.0008231863,0.00044843197,0.0003765,0.00097424834,0.0004081643],"candidate_categories":["sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.013973052,0.00018317571,0.00042398032,0.0007425161,0.0025737267,0.000073847914,0.00113849,0.00013373561,0.00090325624],"category_scores_gemma":[0.00023035155,0.0001362837,0.00032338023,0.0022189235,0.0016185155,0.00070017076,0.000011661853,0.0026194097,0.000001262428],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001480846,0.00020447666,0.9303482,0.00022053326,0.00003870753,0.000033696302,0.0370028,0.014708414,0.013968699,0.0009667156,0.00010901933,0.0009178699],"study_design_scores_gemma":[0.0015214259,0.00016207986,0.97145295,0.000058682595,0.000031297197,3.67806e-7,0.017511522,0.00041229208,0.00008704134,0.007633619,0.0009871075,0.00014158958],"about_ca_topic_score_codex":0.056041475,"about_ca_topic_score_gemma":0.30214995,"teacher_disagreement_score":0.24610847,"about_ca_system_score_codex":0.00085974205,"about_ca_system_score_gemma":0.001713745,"threshold_uncertainty_score":0.9996816},"labels":[],"label_agreement":null},{"id":"W4283650591","doi":"10.1007/s43762-022-00047-w","title":"Points of Interest (POI): a commentary on the state of the art, challenges, and prospects for the future","year":2022,"lang":"en","type":"article","venue":"Computational Urban Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":144,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Georgia Institute of Technology; National Science Foundation","keywords":"Geospatial analysis; Geolocation; Point of interest; Data science; Fidelity; Computer science; Urban planning; Representation (politics); Geovisualization; Quality (philosophy); Data mining; Cartography; Geography; World Wide Web; Artificial intelligence; Visualization; Political science; Information visualization; Engineering","score_opus":0.05305880247960296,"score_gpt":0.29861803652621266,"score_spread":0.2455592340466097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283650591","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91911113,0.0012223154,0.00015227623,0.07753278,0.000450324,0.00079154305,0.0000841553,0.000008887892,0.00064658694],"genre_scores_gemma":[0.9985491,0.00001805917,0.00008724058,0.0011583129,0.000068367146,0.000028891493,0.0000019233237,0.0000024002366,0.000085716456],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99894595,0.000097160926,0.0001512823,0.00017302092,0.0005026275,0.00012997413],"domain_scores_gemma":[0.99894816,0.0006208448,0.00014245184,0.0001590833,0.00010084346,0.00002862897],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015640188,0.00005323184,0.00007294446,0.000026332547,0.0011691067,0.000026134188,0.0007688952,0.0000072869516,0.000030000652],"category_scores_gemma":[0.000059551712,0.000027291786,0.000044362834,0.0003319033,0.0015673494,0.00010630221,0.00012531942,0.00011074509,2.9122052e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027602472,0.0007259307,0.08853763,0.00009976574,0.000068481015,0.0000013831259,0.122089475,0.0041795163,0.00017872086,0.70649296,0.036690995,0.040659096],"study_design_scores_gemma":[0.00043557532,0.00020059731,0.6915722,0.00003561454,0.000019067633,4.870303e-7,0.0116847325,0.004127335,0.00020227044,0.26187903,0.029707994,0.00013509917],"about_ca_topic_score_codex":0.000048302023,"about_ca_topic_score_gemma":0.00055203587,"teacher_disagreement_score":0.60303456,"about_ca_system_score_codex":0.000046104215,"about_ca_system_score_gemma":0.00018041744,"threshold_uncertainty_score":0.8991942},"labels":[],"label_agreement":null},{"id":"W4283662092","doi":"10.1016/j.tra.2022.06.008","title":"Assessing the impacts of COVID-19 on activity-travel scheduling: A survey in the greater Toronto area","year":2022,"lang":"en","type":"article","venue":"Transportation Research Part A Policy and Practice","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Travel behavior; Desk; Business; Marketing; Information and Communications Technology; Coronavirus disease 2019 (COVID-19); Population; Pandemic; Work (physics); Schedule; Transport engineering; Engineering; Computer science; Medicine; Environmental health; Infectious disease (medical specialty)","score_opus":0.360526230688551,"score_gpt":0.5415762427989794,"score_spread":0.18105001211042843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283662092","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96134806,0.00012204005,0.00006292282,0.031036997,0.00003467364,0.0005806125,0.000107621185,0.00001132306,0.006695776],"genre_scores_gemma":[0.99833786,0.00016582734,0.000018587354,0.0011287067,0.000084856234,0.000097011914,0.00003375682,0.0000070447695,0.00012635747],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9913077,0.0065227062,0.00026319444,0.00026117824,0.001231638,0.00041362122],"domain_scores_gemma":[0.9898328,0.009463632,0.00015367975,0.0002474811,0.00015163746,0.00015077296],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.023161953,0.0000948169,0.00014454454,0.00010264133,0.001698916,0.00019014464,0.00037373826,0.00005419755,0.00030721995],"category_scores_gemma":[0.004472077,0.00006374725,0.00004567116,0.0009371251,0.00046515386,0.0010873579,0.000008864581,0.0006206307,0.0000010488683],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022860828,0.0009413916,0.6078886,0.00011998413,0.000062411185,0.00006266085,0.36068293,0.00034855574,0.00032591473,0.0249176,0.0008472357,0.001516633],"study_design_scores_gemma":[0.00035832124,0.00011268037,0.9180057,0.000009361744,0.000014488146,6.7209515e-7,0.057118703,0.000019563402,0.000028155458,0.0006521125,0.023599854,0.00008040629],"about_ca_topic_score_codex":0.4203533,"about_ca_topic_score_gemma":0.26886517,"teacher_disagreement_score":0.31011707,"about_ca_system_score_codex":0.00021912964,"about_ca_system_score_gemma":0.0015045746,"threshold_uncertainty_score":0.9996007},"labels":[],"label_agreement":null},{"id":"W4283724348","doi":"10.1371/journal.pone.0269829","title":"Associations between neighbourhood street connectivity and sedentary behaviours in Canadian adults: Findings from Alberta’s Tomorrow Project","year":2022,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Alberta Health Services; University of Calgary; University of Saskatchewan","funders":"Japan Society for the Promotion of Science; Canadian Institutes of Health Research; Cumming School of Medicine, University of Calgary","keywords":"Neighbourhood (mathematics); Sitting; Population; Demography; Geography; Psychology; Gerontology; Medicine; Sociology","score_opus":0.03849548952819951,"score_gpt":0.26553329122701497,"score_spread":0.22703780169881546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283724348","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99299157,0.000044522087,1.6634795e-7,0.0016496757,0.000044095825,0.00050026213,0.0031920215,0.00002901185,0.0015487011],"genre_scores_gemma":[0.99881077,0.000004872037,0.0000408958,0.00011345483,0.000090962494,0.0000512882,0.0007004233,0.000010235453,0.00017707341],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984538,0.00019247581,0.00020016592,0.000322615,0.00041934353,0.0004116121],"domain_scores_gemma":[0.9993215,0.00025482426,0.00007029146,0.0001243103,0.00003346344,0.0001956096],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045447305,0.00009899825,0.0002404177,0.0001318384,0.000756043,0.000058012432,0.0002226584,0.00007445683,0.0007262646],"category_scores_gemma":[0.00016065338,0.000121590056,0.000037053826,0.00038498722,0.00007400077,0.00028796415,0.000038950388,0.00029942032,0.0000018747564],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000064885385,0.00034812812,0.9880635,0.0000026323578,0.0000485661,0.0000061084797,0.011268884,2.0312928e-7,0.000011507105,0.00005371004,0.000069472146,0.000120790086],"study_design_scores_gemma":[0.00036650596,0.000036493937,0.99613637,0.00002152815,0.000108599146,1.04436255e-8,0.0027525858,0.000012164963,0.00006609245,0.0003153831,0.00003368898,0.00015060941],"about_ca_topic_score_codex":0.99730545,"about_ca_topic_score_gemma":0.9992523,"teacher_disagreement_score":0.008516298,"about_ca_system_score_codex":0.00078299636,"about_ca_system_score_gemma":0.0006945367,"threshold_uncertainty_score":0.7952088},"labels":[],"label_agreement":null},{"id":"W4283728416","doi":"10.4000/vertigo.35620","title":"Quelle mobilité pour la ville de demain ? Un regard croisé des experts et de la littérature scientifique","year":2022,"lang":"fr","type":"article","venue":"VertigO","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Agence Nationale de la Recherche","keywords":"Humanities; Political science; Philosophy","score_opus":0.012826473669077364,"score_gpt":0.28094496424616094,"score_spread":0.2681184905770836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283728416","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9301961,0.018985003,0.0019226542,0.003323834,0.0006039722,0.00032164055,0.000077398145,0.00012796365,0.04444145],"genre_scores_gemma":[0.95617616,0.00046550835,0.0042684725,0.0010257366,0.00022088415,0.0001251766,0.000014967832,0.000036687095,0.037666414],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9942694,0.0033603203,0.0003452296,0.0006514211,0.0005295609,0.0008440944],"domain_scores_gemma":[0.99844944,0.0005696838,0.00011194063,0.00042251855,0.000096346186,0.00035008168],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0045040324,0.00025589354,0.00027873812,0.00007867971,0.001623276,0.0002549917,0.0007088374,0.0003123716,0.0028868604],"category_scores_gemma":[0.00030008148,0.000267856,0.0002735513,0.0011001664,0.0015237245,0.0003947914,0.00018073632,0.000648234,0.000018628736],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000108701344,0.0014318457,0.7698275,0.0002083355,0.000073918236,0.00029332197,0.08442219,0.00038222378,0.00675736,0.10677337,0.023234759,0.0064864606],"study_design_scores_gemma":[0.00074692414,0.00007118613,0.06939871,0.00015144332,0.00008354133,0.000027652557,0.016280215,0.0004530109,0.0058382037,0.094837956,0.8115068,0.000604323],"about_ca_topic_score_codex":0.0040450525,"about_ca_topic_score_gemma":0.0038451045,"teacher_disagreement_score":0.7882721,"about_ca_system_score_codex":0.0007141676,"about_ca_system_score_gemma":0.0014720967,"threshold_uncertainty_score":0.99997735},"labels":[],"label_agreement":null},{"id":"W4284677236","doi":"10.1016/j.jth.2022.101417","title":"Mobility Disparities between People with and without Disabilities – Montreal Case Study","year":2022,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Psychology; Gerontology; Medicine","score_opus":0.03231339444366405,"score_gpt":0.33301023077340086,"score_spread":0.3006968363297368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4284677236","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963995,0.0005059139,0.000090649846,0.0019018708,0.00014276097,0.0006594991,0.000107174026,0.000029726969,0.0001628794],"genre_scores_gemma":[0.9994019,0.000050629427,0.00010999777,0.00007780017,0.00018977413,0.000021432843,0.0000051833304,0.000014761334,0.0001285054],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997173,0.00044647194,0.00081656704,0.00026628817,0.0008885902,0.00040906487],"domain_scores_gemma":[0.9986742,0.00016701648,0.00042208598,0.00020297787,0.00012473618,0.00040894063],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.003254925,0.00016690796,0.0006738337,0.00008940261,0.0015442005,0.000039600203,0.00024558985,0.000034140045,0.00014366496],"category_scores_gemma":[0.000018019979,0.00013274363,0.00011209373,0.00029613802,0.0003774527,0.0004636781,0.00001439771,0.00053175143,1.2038588e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019186432,0.00059252646,0.911883,0.00008301739,0.000055351175,0.00016555359,0.08595172,0.000024977533,9.608261e-8,0.000028737984,0.000024161867,0.000998981],"study_design_scores_gemma":[0.0008378099,0.0011482899,0.84341115,0.000013258906,0.00009780425,0.00008793833,0.15360048,0.0000013742958,2.8197275e-7,0.00028999863,0.00039131445,0.00012031998],"about_ca_topic_score_codex":0.16473694,"about_ca_topic_score_gemma":0.36043143,"teacher_disagreement_score":0.1956945,"about_ca_system_score_codex":0.0002508842,"about_ca_system_score_gemma":0.0009963028,"threshold_uncertainty_score":0.9997557},"labels":[],"label_agreement":null},{"id":"W4284688121","doi":"10.1016/j.jth.2022.101427","title":"Cycling Facilities, Gendered Experiences and Bicycling Frequently Among Women","year":2022,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Cycling; Psychology; Gender studies; Gerontology; Sociology; Geography; Medicine; Forestry","score_opus":0.037599656246338146,"score_gpt":0.31511067920387437,"score_spread":0.2775110229575362,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4284688121","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950722,0.0020498068,0.00022882338,0.001186614,0.00062686275,0.00018465961,0.000029690445,0.000029228559,0.0005921457],"genre_scores_gemma":[0.9983758,0.00041658976,0.0002889649,0.00034428047,0.00021860945,0.000020099931,0.0000040482396,0.000010519765,0.00032114063],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99714667,0.00023889432,0.0009500064,0.00022667459,0.000870438,0.00056734215],"domain_scores_gemma":[0.99866825,0.00007110086,0.0005889196,0.00011716365,0.00007188005,0.0004826626],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0036055134,0.00013228817,0.0004382269,0.00015832174,0.0014957242,0.00004213273,0.00036423118,0.000048918577,0.00097068975],"category_scores_gemma":[0.00002251301,0.00012577865,0.00013378476,0.00030824746,0.0003304598,0.0005638031,0.0000111295385,0.0005046503,3.0300262e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006236796,0.00008610963,0.655846,0.00005728436,0.000023297196,0.000040231036,0.34146678,0.00005584371,0.000017830975,0.00008373238,0.00005215753,0.0022083765],"study_design_scores_gemma":[0.0007107882,0.00035210984,0.43356112,0.0000426745,0.000016120766,0.000007849941,0.5344591,0.000011142231,0.000017760723,0.0013946865,0.029192895,0.00023375869],"about_ca_topic_score_codex":0.005298598,"about_ca_topic_score_gemma":0.0022626016,"teacher_disagreement_score":0.22228485,"about_ca_system_score_codex":0.0004314675,"about_ca_system_score_gemma":0.0011749543,"threshold_uncertainty_score":0.99994254},"labels":[],"label_agreement":null},{"id":"W4284701901","doi":"10.1016/j.jth.2022.101441","title":"Analyzing the Accuracy of Walk Score for Different Age Groups in Montreal, Canada","year":2022,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Walk-in; Demography; Statistics; Psychology; Medicine; Mathematics; Sociology; Alternative medicine","score_opus":0.03521136072005242,"score_gpt":0.3149101525882649,"score_spread":0.27969879186821245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4284701901","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99038523,0.0013087513,0.00026636105,0.0070647807,0.00038907383,0.00038964287,0.00008717621,0.0000036718664,0.00010528254],"genre_scores_gemma":[0.99916065,0.00029406956,0.000043509554,0.00027883545,0.00013281465,0.0000101751475,0.000012620961,0.000008027277,0.00005932131],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99775505,0.00017731587,0.0009626891,0.00012991444,0.00061978307,0.00035524517],"domain_scores_gemma":[0.9985799,0.00025844388,0.00077213446,0.00014053707,0.000083379644,0.00016559914],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020941542,0.00010160714,0.00045330627,0.00009061317,0.00055003184,0.000010022621,0.0005159621,0.00002614585,0.00013420855],"category_scores_gemma":[0.000036580637,0.00007128038,0.00020377526,0.00034373565,0.00008389257,0.00014957145,0.000006586673,0.0003946288,2.0162641e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001947583,0.00020533205,0.9824681,0.0001135791,0.000029566516,0.00004609915,0.009974909,0.0002476723,0.000016337406,0.00018456293,0.0007780063,0.005741043],"study_design_scores_gemma":[0.0005670066,0.000136903,0.9892254,0.00004871669,0.000029188104,0.0000011959152,0.0042734747,0.000010883386,0.000008834775,0.0009100879,0.0047169314,0.00007137663],"about_ca_topic_score_codex":0.7909207,"about_ca_topic_score_gemma":0.9897268,"teacher_disagreement_score":0.19880614,"about_ca_system_score_codex":0.0005387607,"about_ca_system_score_gemma":0.0024598613,"threshold_uncertainty_score":0.43636882},"labels":[],"label_agreement":null},{"id":"W4284710595","doi":"10.1016/j.jth.2022.101438","title":"Making the Most of a Pedestrian Street: Insights from a Pilot-Project Allowing Cyclist to Ride Along Pedestrians in Montreal, Canada","year":2022,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Pedestrian; Transport engineering; Geography; Engineering","score_opus":0.05336907876325541,"score_gpt":0.33056547603381,"score_spread":0.27719639727055456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4284710595","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9913551,0.0010432039,0.00008176015,0.0057217083,0.0005260347,0.0005466162,0.00020914336,0.000009852778,0.0005065662],"genre_scores_gemma":[0.9984417,0.000101825935,0.00017773021,0.00095817377,0.00024782235,0.000010639052,0.0000175583,0.000017202296,0.000027322714],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9960466,0.0004519183,0.0014482985,0.00026291105,0.0012637319,0.0005265488],"domain_scores_gemma":[0.99834037,0.00024608558,0.0007997454,0.00024764414,0.000101246325,0.00026492614],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001858065,0.00018000613,0.0006202799,0.0002063823,0.0008167864,0.000027503882,0.00082158775,0.0000400381,0.0000871381],"category_scores_gemma":[0.00005628894,0.00014565545,0.00016351826,0.0010234462,0.00009024331,0.00026037145,0.000017570748,0.0006804055,1.380796e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041567805,0.00026908636,0.9660751,0.00004143543,0.00004956306,0.000349784,0.02906208,0.000935523,0.000037447684,0.000042997053,0.0008078795,0.0019134249],"study_design_scores_gemma":[0.0009034774,0.0003142928,0.96544695,0.00015059984,0.00004492681,0.000002155225,0.023710944,0.000012322333,0.000007902835,0.00027717173,0.008974038,0.00015521712],"about_ca_topic_score_codex":0.99314815,"about_ca_topic_score_gemma":0.9994378,"teacher_disagreement_score":0.009002392,"about_ca_system_score_codex":0.0009522335,"about_ca_system_score_gemma":0.009954626,"threshold_uncertainty_score":0.99565804},"labels":[],"label_agreement":null},{"id":"W4284898153","doi":"10.1186/s12966-022-01306-z","title":"Using combined Global Position System and accelerometer data points to examine how built environments and gentrification are associated with physical activity in four Canadian cities","year":2022,"lang":"en","type":"article","venue":"International Journal of Behavioral Nutrition and Physical Activity","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Saskatchewan; Simon Fraser University; Memorial University of Newfoundland; Centre Hospitalier de l’Université de Montréal","funders":"Institute of Population and Public Health; Canadian Institutes of Health Research","keywords":"Built environment; Gentrification; Active living; Geography; Level design; Psychological intervention; Physical activity; Pedometer; Medicine; Computer science; Physical medicine and rehabilitation; Engineering","score_opus":0.10489070648264945,"score_gpt":0.3485642136273551,"score_spread":0.24367350714470568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4284898153","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99696964,0.0000081265025,0.0000870884,0.0018707456,0.00009644874,0.0002174467,0.0007364774,0.0000059837957,0.000008038684],"genre_scores_gemma":[0.9997446,0.000006478276,0.000050126255,0.000024205525,0.00011562854,0.000007840074,0.000040108236,0.000005006188,0.000006033995],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99877405,0.00022902405,0.00009846091,0.00021897575,0.00053218263,0.00014732104],"domain_scores_gemma":[0.9993957,0.000050668463,0.00021801626,0.00007622759,0.00007656311,0.00018281212],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025628824,0.00010201498,0.00020940068,0.0001074221,0.00024155874,0.0001417262,0.0001929371,0.000035223162,0.000004975736],"category_scores_gemma":[0.000017939157,0.00010027345,0.000028929231,0.0001571591,0.000113455404,0.0009263821,0.000073041054,0.00019739913,8.751821e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00081879145,0.0033455947,0.9715485,0.000025397205,0.00007670789,0.00012212238,0.0014373241,0.0000074365003,0.011855108,0.00016828746,0.000034464672,0.010560285],"study_design_scores_gemma":[0.0011122375,0.0001894212,0.99633723,0.000079157115,0.000054689095,0.000010375764,0.00092860026,0.0007094364,0.0002426113,0.00017716986,0.000043400712,0.00011567413],"about_ca_topic_score_codex":0.014196087,"about_ca_topic_score_gemma":0.01242702,"teacher_disagreement_score":0.024788747,"about_ca_system_score_codex":0.0007345361,"about_ca_system_score_gemma":0.00007203207,"threshold_uncertainty_score":0.99236846},"labels":[],"label_agreement":null},{"id":"W4284994003","doi":"10.1155/2022/5943529","title":"Study on Influencing Factors of the Duration of Residential Leisure Travel to Urban Parks","year":2022,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Government of Jiangsu Province; Nanjing Forestry University","keywords":"Travel behavior; Attractiveness; Transport engineering; Duration (music); Hazard; Travel time; Travel survey; Traffic flow (computer networking); Tourism; Mode (computer interface); Geography; Variance (accounting); Business; Computer science; Psychology; Engineering","score_opus":0.019971018869674145,"score_gpt":0.30650630887793856,"score_spread":0.2865352900082644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4284994003","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99874467,0.000023053948,0.0001787188,0.00014269809,0.00045480512,0.0003708206,0.000024887793,0.0000040826076,0.000056244367],"genre_scores_gemma":[0.9998065,0.0000024777319,0.00007693995,0.000012573859,0.000056647874,0.0000042513593,0.0000040285295,0.0000063948437,0.000030187308],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979456,0.00016326996,0.0007615916,0.00010835337,0.00091345847,0.00010769861],"domain_scores_gemma":[0.99871266,0.000070870316,0.00082493055,0.00011289785,0.00022688495,0.000051748186],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000705435,0.000077568206,0.00022448746,0.000112181326,0.0002818821,0.00000802489,0.0002656931,0.000027744934,0.00004863845],"category_scores_gemma":[0.000057225574,0.00006012054,0.00014984867,0.00047617033,0.00005127134,0.00034685447,0.0000024331466,0.00021594288,7.208062e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003028152,0.0002657696,0.85196894,0.000011407763,0.000025062895,0.000003476198,0.11697391,0.018180793,0.011890101,0.00013601924,0.000013500621,0.00022818932],"study_design_scores_gemma":[0.00048181432,0.00042605668,0.931092,0.000026252144,0.000059717386,7.950609e-8,0.060427472,3.675272e-7,0.0071565346,0.00020060051,0.00007525622,0.000053804826],"about_ca_topic_score_codex":0.00042131613,"about_ca_topic_score_gemma":0.0029244022,"teacher_disagreement_score":0.07912309,"about_ca_system_score_codex":0.00008157955,"about_ca_system_score_gemma":0.0001882585,"threshold_uncertainty_score":0.24516444},"labels":[],"label_agreement":null},{"id":"W4285024347","doi":"10.1080/01944363.2022.2074872","title":"Toward Evidence-Based Urban Planning","year":2022,"lang":"en","type":"article","venue":"Journal of the American Planning Association","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Certainty; Critical appraisal; Management science; Risk analysis (engineering); Quality (philosophy); Selection (genetic algorithm); Urban planning; Computer science; Process management; Psychology; Business; Medicine; Engineering; Alternative medicine; Artificial intelligence; Mathematics","score_opus":0.06368964782718227,"score_gpt":0.33904232126267186,"score_spread":0.2753526734354896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285024347","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9891067,0.00043676907,0.0002112847,0.008690529,0.00078598893,0.00007731599,0.0000060229568,0.000023803548,0.0006615666],"genre_scores_gemma":[0.9979087,0.0000048143293,0.00016616701,0.0009659874,0.00046508128,0.0000032461628,0.0000010164182,0.00000740107,0.0004775777],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973375,0.0007579728,0.0003564678,0.00010262839,0.0012009207,0.0002445116],"domain_scores_gemma":[0.99681234,0.0006544012,0.00220358,0.00010673079,0.00015375558,0.00006917976],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033991458,0.00007531819,0.00022793302,0.00009362367,0.000972586,0.000078085446,0.0005895428,0.000023313622,0.000058991867],"category_scores_gemma":[0.0011406654,0.000060448558,0.00020732774,0.000668898,0.00009282456,0.0003167478,0.000035116835,0.0004988537,0.0000011309345],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000079815916,0.00003317481,0.97300375,0.0000024943115,0.000031000487,0.00000956249,0.008706954,0.0060764137,0.000096900316,0.0000128690845,0.011473695,0.00047337305],"study_design_scores_gemma":[0.00019974397,0.00013528683,0.9765206,0.000087079876,0.000068720205,0.000001006708,0.006077949,0.00015533462,0.00005535993,0.00017709355,0.016416216,0.00010563649],"about_ca_topic_score_codex":0.0004727414,"about_ca_topic_score_gemma":0.000008235618,"teacher_disagreement_score":0.008801988,"about_ca_system_score_codex":0.0012293906,"about_ca_system_score_gemma":0.0005197165,"threshold_uncertainty_score":0.7480444},"labels":[],"label_agreement":null},{"id":"W4285042213","doi":"10.1080/01441647.2022.2099999","title":"Associations between Light Rail Transit and physical activity: a systematic review","year":2022,"lang":"en","type":"review","venue":"Transport Reviews","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Montréal; University of Ottawa; Public Health Agency of Canada; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; California HIV/AIDS Research Program","keywords":"Systematic review; Scopus; Checklist; MEDLINE; Data extraction; Population; Documentation; Applied psychology; Psychology; Medicine; Environmental health; Political science; Computer science","score_opus":0.12833616901527467,"score_gpt":0.39921423664230304,"score_spread":0.2708780676270284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285042213","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000009601844,0.98538846,0.000042671338,0.00030613435,0.00014390211,0.010210551,0.0005985007,0.00015745357,0.003142711],"genre_scores_gemma":[0.00003589405,0.9958673,0.000020124122,0.00011145969,0.00037164122,0.0015353985,0.00064499414,0.00007349741,0.0013396725],"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","domain_scores_codex":[0.99311763,0.0023063645,0.0019708488,0.0009864309,0.0009797113,0.00063903385],"domain_scores_gemma":[0.99659336,0.00057457027,0.0015698321,0.0008533958,0.000048689762,0.00036017734],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0047513186,0.00079709635,0.010195299,0.00013925403,0.00087647594,0.000065268876,0.00093702524,0.00032402776,0.0007421377],"category_scores_gemma":[0.00021784545,0.000609478,0.002611704,0.0014030505,0.00019519117,0.0004004684,0.000021361808,0.0010965825,0.000090764464],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[5.2249186e-7,0.00012497947,0.000081352206,0.8131164,0.00020574879,0.000010911365,0.0012761189,2.3789741e-9,1.0600298e-8,0.00012919179,0.00023263077,0.18482219],"study_design_scores_gemma":[0.000054166838,0.000014626259,0.000058470574,0.22730868,0.014462041,6.5264345e-7,0.000012485853,2.4815439e-8,1.8860888e-8,0.00003766276,0.75757515,0.00047604478],"about_ca_topic_score_codex":0.00035527206,"about_ca_topic_score_gemma":0.0005937101,"teacher_disagreement_score":0.7573425,"about_ca_system_score_codex":0.00034576847,"about_ca_system_score_gemma":0.0006224698,"threshold_uncertainty_score":0.99963564},"labels":[],"label_agreement":null},{"id":"W4285044525","doi":"10.22215/etd/2022-15011","title":"Disaggregate Probabilistic Models to Predict Trip Generation Propensities and Mode Choice Behaviour","year":2022,"lang":"en","type":"dissertation","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University","funders":"","keywords":"Mode choice; Multinomial logistic regression; Multinomial probit; Trip generation; Bivariate analysis; Ordered probit; Multivariate probit model; Econometrics; Travel behavior; Discrete choice; TRIPS architecture; Probit; Mode (computer interface); Probit model; Modal; Economics; Computer science; Transport engineering; Engineering; Public transport","score_opus":0.052496756522206964,"score_gpt":0.32916180725807614,"score_spread":0.27666505073586917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285044525","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97250855,0.00024469788,0.00010334722,0.00018403814,0.0006219017,0.0017125584,0.00011398374,0.00014438697,0.024366532],"genre_scores_gemma":[0.91600794,0.00004448347,0.0001540041,0.00006807183,0.00030609866,0.00039541928,0.0015395632,0.00002690918,0.08145753],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9979721,0.00014407969,0.00035886592,0.00059908465,0.00062788546,0.00029799176],"domain_scores_gemma":[0.99926287,0.000042040967,0.00013517159,0.00022126925,0.00016019684,0.00017847153],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041379302,0.00022853068,0.00029901267,0.00009998158,0.00085426844,0.0002442458,0.0002609902,0.00018085721,0.00073951436],"category_scores_gemma":[0.00006859063,0.0002103038,0.000073846124,0.00023551896,0.000081386584,0.00053311355,0.000023560235,0.00024088722,0.0000031088496],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011922208,0.0018904924,0.2477366,0.001962633,0.00033749567,0.000057810743,0.60928816,0.014212258,0.0012668028,0.056304723,0.017276593,0.048474237],"study_design_scores_gemma":[0.0045529106,0.0016568353,0.6398792,0.0009710446,0.0036247303,0.0000026226785,0.16007398,0.078356855,0.0019482494,0.06420596,0.035064347,0.009663257],"about_ca_topic_score_codex":0.031742368,"about_ca_topic_score_gemma":0.24554962,"teacher_disagreement_score":0.44921416,"about_ca_system_score_codex":0.00016974287,"about_ca_system_score_gemma":0.0004357529,"threshold_uncertainty_score":0.97470534},"labels":[],"label_agreement":null},{"id":"W4285415527","doi":"10.51952/9781529219029.ch018","title":"Pandemic- and Future-Proofing Cities: Pedestrian-oriented Development as an Alternative Model to Transit-based Intensification Centers","year":2021,"lang":"en","type":"book-chapter","venue":"Bristol University Press eBooks","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Pedestrian; Transit (satellite); Transport engineering; Architectural engineering; Engineering; Public transport","score_opus":0.05480428693945915,"score_gpt":0.2637602572717961,"score_spread":0.20895597033233693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285415527","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09916205,0.00024426487,0.027790047,0.0002931951,0.0006006725,0.0016642042,0.00026912946,0.0003478977,0.86962855],"genre_scores_gemma":[0.30365106,0.00016153687,0.0032647487,0.00045645147,0.00043717487,0.0000062391796,0.000419502,0.00007098853,0.6915323],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99817914,0.00008300125,0.00026243555,0.000734416,0.0004500252,0.00029098603],"domain_scores_gemma":[0.99874306,0.000038261347,0.00019673031,0.00029066054,0.00038733904,0.0003439723],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00023322701,0.00030253184,0.00036422923,0.00016425188,0.0006328617,0.00009064618,0.00038727766,0.00031235153,0.000026699314],"category_scores_gemma":[0.000010586128,0.00037685724,0.000110167195,0.000023603134,0.00032308017,0.00020654789,0.000054960994,0.00031345754,0.0000014174899],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0029090005,0.00031077067,0.002936113,0.0007516952,0.00085668726,0.00090430747,0.22698162,0.00041939763,0.00027239136,0.6767785,0.0011197609,0.08575976],"study_design_scores_gemma":[0.0011376038,0.00005989513,0.00036372617,0.00035580216,0.00024040717,0.0000012263413,0.007863484,0.00062522705,0.00028647322,0.0005406404,0.9875977,0.0009278028],"about_ca_topic_score_codex":0.0032317364,"about_ca_topic_score_gemma":0.0043519936,"teacher_disagreement_score":0.986478,"about_ca_system_score_codex":0.0004950424,"about_ca_system_score_gemma":0.0008361024,"threshold_uncertainty_score":0.99986833},"labels":[],"label_agreement":null},{"id":"W4285415564","doi":"10.1332/policypress/9781529219005.003.0018","title":"Pandemic-and Future-Proofing Cities: Pedestrian-oriented Development as an Alternative Model to Transit-based Intensification Centers","year":2021,"lang":"en","type":"book-chapter","venue":"Policy Press eBooks","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Urban sprawl; Metropolitan area; Public transport; Pedestrian; Transit-oriented development; Urban planning; Land use; Transport engineering; Transit (satellite); Undo; Business; Geography; Environmental planning; Computer science; Engineering; Civil engineering","score_opus":0.09438570483969126,"score_gpt":0.33999673722095675,"score_spread":0.24561103238126547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285415564","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04763136,0.00048370694,0.0112148505,0.001117247,0.00069244765,0.0021005513,0.00027251162,0.00038419777,0.9361031],"genre_scores_gemma":[0.49754745,0.00021477675,0.003261117,0.0030308438,0.003189824,0.00022478728,0.00042413463,0.00016588622,0.49194118],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99758124,0.00008080763,0.0005263161,0.0007841986,0.00057662063,0.00045083836],"domain_scores_gemma":[0.99857545,0.000059841557,0.00022657425,0.00037531374,0.0003354697,0.0004273705],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00035012435,0.0003992612,0.00044655692,0.00022253637,0.00045484322,0.0001707928,0.00038502147,0.00033900308,0.000032180196],"category_scores_gemma":[0.00004179996,0.0004175469,0.00012663269,0.000026608293,0.00030555535,0.0001447376,0.000042841326,0.00035813224,0.0000028334907],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004798406,0.000100791076,0.0008929352,0.00037150423,0.0003395326,0.000042800002,0.20273142,0.000170318,0.00020997442,0.72400224,0.00019191547,0.07046674],"study_design_scores_gemma":[0.0019207237,0.00013860964,0.0007630974,0.000983842,0.00032260452,0.0000023513232,0.0036800436,0.001386023,0.0031983359,0.02140317,0.9639133,0.0022878782],"about_ca_topic_score_codex":0.009177731,"about_ca_topic_score_gemma":0.006167559,"teacher_disagreement_score":0.9637214,"about_ca_system_score_codex":0.00034310715,"about_ca_system_score_gemma":0.0013909114,"threshold_uncertainty_score":0.9998276},"labels":[],"label_agreement":null},{"id":"W4285464344","doi":"10.32920/ryerson.14654358","title":"Factors Contributing To Winter Cycling: Case Study of A Downtown University Campus In Toronto, Canada","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University; Toronto Metropolitan University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Cycling; Downtown; Geography; Neighbourhood (mathematics); Transport engineering; Socioeconomics; Environmental planning; Engineering; Sociology; Forestry","score_opus":0.03207436266024245,"score_gpt":0.31131079682253554,"score_spread":0.2792364341622931,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285464344","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9896238,0.000050136743,0.00004956106,0.000080842656,0.00049237686,0.0007073454,0.00005267578,0.000025035846,0.008918241],"genre_scores_gemma":[0.9992151,0.0000023921364,0.000022961,0.000024343199,0.00004072053,0.0000015987201,0.000015214768,0.0000052985533,0.00067234406],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9980932,0.00024702476,0.0003771031,0.00050305296,0.00037336576,0.000406241],"domain_scores_gemma":[0.9989605,0.00015142295,0.00016108002,0.0003114483,0.00021845149,0.00019709479],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00061971776,0.00018100969,0.0004874983,0.000041344363,0.00022821309,0.000049310966,0.00040112238,0.00016680571,0.0013126979],"category_scores_gemma":[0.00014086935,0.00017376442,0.000090592104,0.00019036609,0.00005095482,0.00013491257,0.0003550477,0.00029582044,1.05299115e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011700275,0.00021099478,0.9509227,0.000020472673,0.00004358191,0.0014558182,0.04699387,0.00005040268,0.0000028104755,0.000009817309,0.000026990769,0.00025081506],"study_design_scores_gemma":[0.00025675094,0.00001756276,0.42383137,0.00003967856,0.000035582365,2.6533104e-7,0.5754686,0.0000052096684,0.000030621388,0.0000033360725,0.00013157645,0.00017946259],"about_ca_topic_score_codex":0.99979514,"about_ca_topic_score_gemma":0.9999913,"teacher_disagreement_score":0.52847475,"about_ca_system_score_codex":0.0023376355,"about_ca_system_score_gemma":0.0021193025,"threshold_uncertainty_score":0.99960023},"labels":[],"label_agreement":null},{"id":"W4285495205","doi":"10.1186/s12966-022-01326-9","title":"The association between the built environment and intervention-facilitated physical activity: a narrative systematic review","year":2022,"lang":"en","type":"review","venue":"International Journal of Behavioral Nutrition and Physical Activity","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Canadian Institutes of Health Research","keywords":"Psychological intervention; CINAHL; Medicine; Randomized controlled trial; Gerontology; MEDLINE; Population; Systematic review; Physical therapy; Environmental health; Nursing; Internal medicine","score_opus":0.08091486211795758,"score_gpt":0.4149797384331298,"score_spread":0.33406487631517223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285495205","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21886869,0.77611005,0.000022446857,0.0023166824,0.00039911142,0.0019236953,0.00030852767,0.000017146476,0.000033656404],"genre_scores_gemma":[0.2435008,0.7557899,0.0000019431445,0.000011903113,0.00042201774,0.00014314304,0.000021100885,0.000009352077,0.000099880635],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99605155,0.001830943,0.0004706226,0.00023166448,0.0012377409,0.00017747456],"domain_scores_gemma":[0.9963173,0.0016585157,0.0016106647,0.00013941179,0.0001690109,0.00010504332],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015594952,0.00023829385,0.0011658769,0.000058374484,0.000657418,0.00023065688,0.0005087493,0.00008983054,0.00003505432],"category_scores_gemma":[0.00017847643,0.00013918855,0.00077226385,0.00016259904,0.00028519132,0.0004888896,0.00010496623,0.00089685374,0.0000024731753],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006888952,0.0038201646,0.0004933024,0.04528146,0.0011543963,0.000017390095,0.0047420044,9.102849e-8,0.0000035320963,0.00014809676,0.00026840557,0.9440023],"study_design_scores_gemma":[0.0017149455,0.00076649064,0.005783928,0.14575127,0.014250974,0.000027054235,0.0037431943,0.000019034374,0.0000126685645,0.0029102874,0.8240016,0.0010185317],"about_ca_topic_score_codex":0.00024505888,"about_ca_topic_score_gemma":0.00004587297,"teacher_disagreement_score":0.94298375,"about_ca_system_score_codex":0.00064791314,"about_ca_system_score_gemma":0.00009829316,"threshold_uncertainty_score":0.5675944},"labels":[],"label_agreement":null},{"id":"W4285587128","doi":"10.1177/03611981221105070","title":"Exploratory Analysis of Mobility of Care in Montreal, Canada","year":2022,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":57,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"TRIPS architecture; Public transport; Context (archaeology); Travel behavior; Travel survey; Business; Exploratory research; Demographic economics; Household income; Geography; Transport engineering; Economics; Sociology; Engineering","score_opus":0.06913601129646621,"score_gpt":0.3867862480678642,"score_spread":0.31765023677139803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285587128","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99678963,0.0005462522,0.00003495257,0.0008094582,0.00026744104,0.0007580654,0.00043913536,0.0000061609003,0.00034888176],"genre_scores_gemma":[0.99925464,0.00032038213,0.00008213609,0.000014336928,0.00003630288,0.00006764221,0.000039361406,0.000016414333,0.00016876418],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9882719,0.002991284,0.0018226054,0.00035457613,0.0058988947,0.00066076964],"domain_scores_gemma":[0.9938325,0.0010982405,0.00071503245,0.0004949523,0.0035945475,0.0002646924],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007639654,0.00015498837,0.0007165201,0.0015823542,0.0007296236,0.000024039375,0.0014744448,0.00009629833,0.0011210889],"category_scores_gemma":[0.00018979242,0.00013527813,0.0005211674,0.008250747,0.00094132585,0.0004248231,0.000009966502,0.0016539394,3.2103034e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013019361,0.00035313802,0.9593587,0.00019294175,0.00024744865,0.000047138743,0.028617417,0.0072503192,0.00027980932,0.00043653208,0.0005167975,0.0013978173],"study_design_scores_gemma":[0.00067897973,0.00027271968,0.9321417,0.000058002748,0.00015438595,6.754126e-9,0.06285395,0.000038714308,0.00034706152,0.0005832376,0.0027681363,0.00010309545],"about_ca_topic_score_codex":0.9523958,"about_ca_topic_score_gemma":0.99885607,"teacher_disagreement_score":0.04646027,"about_ca_system_score_codex":0.00090820127,"about_ca_system_score_gemma":0.0046935,"threshold_uncertainty_score":0.99979204},"labels":[],"label_agreement":null},{"id":"W4285728787","doi":"10.1017/s0714980822000241","title":"Indoor Built Environment and Older Adults’ Activity: A Systematic Review","year":2022,"lang":"en","type":"review","venue":"Canadian Journal on Aging / La Revue canadienne du vieillissement","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Canada Research Chairs","keywords":"Built environment; Physical activity; Level design; Situated; Inclusion (mineral); Gerontology; Psychology; Applied psychology; Environmental health; Medicine; Computer science; Engineering; Multimedia; Physical medicine and rehabilitation; Social psychology","score_opus":0.02365410343030744,"score_gpt":0.26539038110093083,"score_spread":0.2417362776706234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285728787","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001033927,0.99236447,0.000005035907,0.0016411705,0.0007774429,0.0030354362,0.00016471591,0.000022533843,0.0009552465],"genre_scores_gemma":[0.002232308,0.99498874,0.000014476141,0.000709694,0.0003806064,0.0004666966,0.0000533412,0.00008608974,0.0010680396],"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","domain_scores_codex":[0.9948677,0.0014997672,0.0012005342,0.0007948923,0.00039303637,0.0012440899],"domain_scores_gemma":[0.99488324,0.00039371962,0.001100136,0.0006742193,0.00006236997,0.0028863365],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0038867905,0.0006638314,0.0024956428,0.00057120726,0.0018302278,0.0003810404,0.00100786,0.00022849861,0.0029631916],"category_scores_gemma":[0.0004981274,0.0005979022,0.0006381306,0.0005192571,0.00024889715,0.00022979773,0.000047267717,0.0014133621,0.000025140796],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003286848,0.00007308394,0.0003459555,0.6991565,0.0004546038,0.0026585143,0.008268945,8.61152e-7,1.44809125e-8,0.00047027282,0.001874332,0.28669357],"study_design_scores_gemma":[0.00012326463,0.000036918424,0.00007784548,0.27989322,0.001134415,0.00012017742,0.0005001895,8.4477585e-7,1.2172567e-8,0.000013492195,0.71764266,0.00045697993],"about_ca_topic_score_codex":0.074780755,"about_ca_topic_score_gemma":0.4857654,"teacher_disagreement_score":0.71576834,"about_ca_system_score_codex":0.004717669,"about_ca_system_score_gemma":0.002767357,"threshold_uncertainty_score":0.99964726},"labels":[],"label_agreement":null},{"id":"W4286202875","doi":"10.1016/j.sleep.2022.05.227","title":"Impact of Neighborhood and Environmental Factors on Sleep Health Among Middle-Aged and Older Adults in the Canadian Longitudinal Study on Aging","year":2022,"lang":"en","type":"article","venue":"Sleep Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University","funders":"","keywords":"Gerontology; Longitudinal study; Sleep (system call); Psychology; Demography; Environmental health; Medicine; Sociology; Computer science","score_opus":0.037181101749854895,"score_gpt":0.31489657042026153,"score_spread":0.27771546867040664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4286202875","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977417,0.00026075772,6.4537437e-7,0.00087206915,0.00008863143,0.00065984856,0.0000339321,0.0000061681217,0.00033626237],"genre_scores_gemma":[0.99972034,0.000009945044,4.2309748e-7,0.00015626561,0.000053859207,0.000012325844,0.000031271553,0.0000060835755,0.000009502759],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984295,0.00029578267,0.00021816378,0.0002606934,0.00050934864,0.00028653792],"domain_scores_gemma":[0.99942726,0.00012271809,0.00009491336,0.00014911909,0.0000041026174,0.00020191743],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010715501,0.00011745123,0.00021615768,0.00014047501,0.0006758531,0.0000120377135,0.00016090898,0.00002346885,0.00024634486],"category_scores_gemma":[0.000027923594,0.00007613634,0.000028050434,0.0002140092,0.00030430913,0.00007105572,0.000016541742,0.00029020762,1.277816e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031810672,0.00023130173,0.8888004,0.0000056549698,0.000016497504,0.000013238665,0.109746546,0.0000050806284,7.8231767e-7,0.000012136064,0.0000164369,0.0011201089],"study_design_scores_gemma":[0.0011007381,0.00096151984,0.91960317,0.000034291563,0.000014550808,1.9695969e-7,0.07818069,0.000016859718,3.9792278e-7,0.000020901913,0.0000049910404,0.00006167134],"about_ca_topic_score_codex":0.57746977,"about_ca_topic_score_gemma":0.72579825,"teacher_disagreement_score":0.1483285,"about_ca_system_score_codex":0.00033259802,"about_ca_system_score_gemma":0.00006992956,"threshold_uncertainty_score":0.5198184},"labels":[],"label_agreement":null},{"id":"W4286434472","doi":"10.3390/su14148857","title":"International Research Progress in School Travel and Behavior: A Literature Review and Bibliometric Analysis","year":2022,"lang":"en","type":"review","venue":"Sustainability","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Citation; Bibliometrics; Travel behavior; Urban sprawl; Regional science; Publishing; Citation analysis; Sustainability; Business; Geography; Political science; Transport engineering; Urban planning; Computer science; Engineering; Library science","score_opus":0.0768624551240452,"score_gpt":0.48225612514755545,"score_spread":0.40539367002351023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4286434472","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010892116,0.99418604,5.9481454e-7,0.0005159595,0.00006738583,0.0031250268,0.00012802228,0.00002614147,0.00086162664],"genre_scores_gemma":[0.003375088,0.994504,0.0000236273,0.0000169352,0.00007520923,0.0012971319,0.00018956873,0.000015012554,0.0005034625],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99377775,0.0027099126,0.00078739855,0.0010461974,0.0010989353,0.00057979976],"domain_scores_gemma":[0.99745524,0.00059302466,0.00021356942,0.00053205667,0.00091728306,0.00028883337],"candidate_categories":["bibliometrics","insufficient_payload"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.0126684625,0.00028244732,0.0014917924,0.03819367,0.0005597162,0.00044704668,0.00076229393,0.00031263952,0.0011234995],"category_scores_gemma":[0.0036670761,0.00024269694,0.00037773256,0.20490922,0.0010015302,0.00044676874,0.0003112835,0.0018309711,7.569416e-7],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000032864439,0.00020616197,0.29768798,0.034896083,0.00008510576,0.000059834732,0.00050702994,3.4081091e-9,2.3023235e-10,0.00017520058,0.00006141764,0.6663179],"study_design_scores_gemma":[0.00007674673,0.000020372749,0.27502263,0.0015680491,0.0016504009,0.0000011781973,0.0005389079,2.2400953e-7,1.2421528e-9,0.00057226146,0.72033435,0.00021486705],"about_ca_topic_score_codex":0.0010893067,"about_ca_topic_score_gemma":0.000892561,"teacher_disagreement_score":0.72027296,"about_ca_system_score_codex":0.001856096,"about_ca_system_score_gemma":0.0017197822,"threshold_uncertainty_score":0.9997896},"labels":[{"model":"gemma","categories":["bibliometrics"],"domain":null,"study_design":"not_applicable","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":["bibliometrics"],"domain":null,"study_design":"systematic_review","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"high"}],"label_agreement":"split"},{"id":"W4286715744","doi":"10.1007/978-3-031-00148-2_20","title":"The Future of Public Transit and Shared Mobility: Policy Actions and Research Options for COVID-19 Recovery","year":2022,"lang":"en","type":"book-chapter","venue":"Springer tracts on transportation and traffic","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Public transport; Business; Subsidy; Public policy; Public relations; Revenue; Political science; Finance; Engineering; Economic growth; Economics; Transport engineering","score_opus":0.10564601962984933,"score_gpt":0.378399834436118,"score_spread":0.2727538148062687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4286715744","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80900824,0.024317287,0.000379888,0.09589918,0.0013583488,0.00951459,0.007945306,0.0005270727,0.05105011],"genre_scores_gemma":[0.96968037,0.016744014,0.00009791614,0.00016277179,0.00030635734,0.00017956295,0.0003607586,0.000045059955,0.012423175],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99775195,0.000117464595,0.000507517,0.0006207867,0.0006125637,0.00038969296],"domain_scores_gemma":[0.9980333,0.00089458004,0.00019238095,0.0002619685,0.000204356,0.0004134128],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002007489,0.00024564963,0.00034468755,0.0003881431,0.0024172287,0.00019961245,0.00020819638,0.0003163128,0.0002500464],"category_scores_gemma":[0.000088814,0.00021963604,0.00017190502,0.0002144385,0.0010088617,0.00038410883,0.0000036189065,0.00067489163,6.2198757e-7],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005168206,0.00028540433,0.0010715469,0.00072215166,0.00021406352,0.000008507865,0.014541301,0.00011888762,0.000027895203,0.87111855,0.00024556642,0.1111293],"study_design_scores_gemma":[0.00089227577,0.0002559575,0.05608803,0.000050124745,0.00015289943,7.183063e-7,0.0037421798,0.000008697686,0.0000043839204,0.01583083,0.9226367,0.0003371968],"about_ca_topic_score_codex":0.00047769913,"about_ca_topic_score_gemma":0.031881582,"teacher_disagreement_score":0.9223911,"about_ca_system_score_codex":0.00014117119,"about_ca_system_score_gemma":0.00096799486,"threshold_uncertainty_score":0.99888146},"labels":[],"label_agreement":null},{"id":"W4286716692","doi":"10.3389/fenvs.2022.931763","title":"Exploring the Role of Shared Mobility in Alleviating Private Car Dependence and On-Road Carbon Emissions in the Context of COVID-19","year":2022,"lang":"en","type":"article","venue":"Frontiers in Environmental Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Fonds de recherche du Québec – Nature et technologies; National Natural Science Foundation of China","keywords":"Context (archaeology); Business; Mixed logit; Pandemic; Public transport; Coronavirus disease 2019 (COVID-19); Sharing economy; Preference; Environmental economics; Transport engineering; Computer science; Logistic regression; Economics; Geography; Microeconomics; Medicine; Engineering","score_opus":0.03486859109647994,"score_gpt":0.26814980210499434,"score_spread":0.2332812110085144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4286716692","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984152,0.00031887775,0.0000058589308,0.00024794653,0.00009479706,0.00041984956,0.000020314437,0.000003440873,0.00047374997],"genre_scores_gemma":[0.99963444,0.00007828645,0.00011946039,0.00007354134,0.0000052858495,0.00008024354,0.000001171474,0.0000024498786,0.0000051314264],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99811095,0.0003084331,0.00028673487,0.00032574162,0.00070895656,0.0002591726],"domain_scores_gemma":[0.9994463,0.00013291754,0.00011593964,0.00023512788,0.0000021483763,0.00006758258],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033349744,0.00007635721,0.00014545477,0.00008843053,0.00042956774,0.000014581431,0.0008547781,0.000018591061,0.000027737571],"category_scores_gemma":[0.00021402475,0.00005596981,0.00002668552,0.0006185088,0.0015775891,0.00028199248,0.00017379769,0.00024200515,6.2368066e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002516738,0.00012614351,0.9336545,0.000004684581,7.9257995e-7,0.0000021383003,0.059567645,0.00036968396,0.0023050269,0.00008044306,0.0000010674839,0.0038627167],"study_design_scores_gemma":[0.00017349824,0.00003415132,0.8305728,0.000010981603,0.000001933797,1.2568388e-7,0.16678016,0.0008448348,0.0005473962,0.00078499195,0.00018643973,0.00006271829],"about_ca_topic_score_codex":0.00996459,"about_ca_topic_score_gemma":0.0021955722,"teacher_disagreement_score":0.107212506,"about_ca_system_score_codex":0.0005117791,"about_ca_system_score_gemma":0.00012993148,"threshold_uncertainty_score":0.99662817},"labels":[],"label_agreement":null},{"id":"W4287009492","doi":"10.3390/land11081139","title":"Analyzing Spatial Location Preference of Urban Activities with Mode-Dependent Accessibility Using Integrated Land Use–Transport Models","year":2022,"lang":"en","type":"article","venue":"Land","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"National Natural Science Foundation of China","keywords":"Land use; Sustainability; Public transport; Destinations; Transport engineering; Business; Mode choice; Environmental economics; Mode (computer interface); Discrete choice; Order (exchange); Preference; Sustainable development; Urban planning; Travel behavior; China; Computer science; Geography; Economics; Econometrics; Civil engineering; Tourism; Engineering; Microeconomics","score_opus":0.059635428613054126,"score_gpt":0.2935768829299122,"score_spread":0.23394145431685806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4287009492","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9629117,0.000048260976,0.036101434,0.00001720271,0.000078597324,0.00027951424,0.00012588952,0.000054428376,0.000382967],"genre_scores_gemma":[0.99937737,0.000005618341,0.00029549678,0.0000080798,0.00004465553,0.000017290822,0.00006784436,0.000011020765,0.0001726475],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984772,0.00017150732,0.00027755063,0.00033634948,0.0005022599,0.00023510064],"domain_scores_gemma":[0.99931467,0.000056953173,0.00018973873,0.00023657833,0.00013250766,0.00006957848],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046811707,0.00012838152,0.0002453264,0.00007517703,0.0004782847,0.000057213514,0.0002737397,0.000055230637,0.0001639593],"category_scores_gemma":[0.000012418155,0.00010669012,0.000044831817,0.00041811285,0.00018534383,0.0009258915,0.000028473649,0.00021430902,1.3545362e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002217336,0.00011246642,0.966546,0.000033067176,0.000024907265,0.0000027766907,0.004116536,0.028447844,0.00014141577,0.00005983458,9.921793e-7,0.0002924211],"study_design_scores_gemma":[0.00069387787,0.000089025,0.9536159,0.000059392234,0.00012653228,5.4117254e-7,0.0017761268,0.04125136,0.00054491987,0.0014848077,0.000040057097,0.00031747407],"about_ca_topic_score_codex":0.15977983,"about_ca_topic_score_gemma":0.1588379,"teacher_disagreement_score":0.03646564,"about_ca_system_score_codex":0.00015616597,"about_ca_system_score_gemma":0.00044435478,"threshold_uncertainty_score":0.8565111},"labels":[],"label_agreement":null},{"id":"W4287108040","doi":"","title":"Who Uses Green Mobility? Exploring Profiles in Developed Countries","year":2021,"lang":"en","type":"preprint","venue":"NulanFCEyS (Economic and Social National University of Mar del Plata)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business","score_opus":0.06911146061499791,"score_gpt":0.268177256442014,"score_spread":0.1990657958270161,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4287108040","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99167717,0.00013832234,0.000046603272,0.000944974,0.00018565914,0.0002601944,0.0004494198,0.000028757115,0.0062689288],"genre_scores_gemma":[0.99801165,0.00040596843,0.00036726755,0.000035860725,0.00017770828,0.0000018907594,0.00027749976,0.0000075858543,0.0007145624],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986539,0.00013686523,0.00027596063,0.00043446,0.00029644681,0.00020239342],"domain_scores_gemma":[0.99923086,0.00019060637,0.00022205498,0.00008772536,0.00020983805,0.00005891824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078501966,0.00015725083,0.00042930702,0.00014437115,0.00048246633,0.00006583683,0.0003431422,0.00032397042,0.0003416988],"category_scores_gemma":[0.000035829016,0.00021776017,0.000112966714,0.00007403189,0.0005775001,0.0005967653,0.00022498322,0.00028503532,0.0000057851203],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013451723,0.00009464618,0.93942374,0.00031804712,0.00012291095,0.000017235614,0.040739007,0.000113881,0.000001916497,0.01762289,0.00037618133,0.0010350537],"study_design_scores_gemma":[0.0007048194,0.000007736219,0.94923335,0.00010678294,0.000044607303,1.5772049e-7,0.031433035,0.00021532169,0.000012085275,0.0063581164,0.01147693,0.00040702522],"about_ca_topic_score_codex":0.026989127,"about_ca_topic_score_gemma":0.056803934,"teacher_disagreement_score":0.02981481,"about_ca_system_score_codex":0.00054877804,"about_ca_system_score_gemma":0.0018150139,"threshold_uncertainty_score":0.9794902},"labels":[],"label_agreement":null},{"id":"W4287219331","doi":"10.3390/su14159058","title":"The Impacts of In Situ Urbanization on Housing, Mobility and Employment of Local Residents in China","year":2022,"lang":"en","type":"article","venue":"Sustainability","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"National Social Science Fund of China","keywords":"Urbanization; China; Relocation; Geography; Economic growth; Census; Economic geography; Business; Economics; Population; Sociology","score_opus":0.007950147906310706,"score_gpt":0.29409840794456565,"score_spread":0.28614826003825494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4287219331","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980953,0.00014755619,0.000021388141,0.0006879308,0.000047781956,0.0006675382,0.000006500226,0.0000098950695,0.00031612878],"genre_scores_gemma":[0.9999054,0.000010495934,0.0000031797063,0.000009901442,0.000007229671,0.00002218122,0.0000025348186,0.0000040770515,0.00003498682],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99789125,0.0007705393,0.00041338717,0.00024892236,0.0004253465,0.0002505585],"domain_scores_gemma":[0.9991785,0.00021039243,0.00013725371,0.00027763742,0.00015005878,0.000046114365],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040270817,0.00007549921,0.00018014622,0.00007040632,0.00032216226,0.000013286852,0.00021251936,0.000041752664,0.000026159025],"category_scores_gemma":[0.00083056727,0.00006317664,0.000038651135,0.0006386792,0.00068934105,0.00012683602,0.00008777883,0.00021054923,4.221572e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021127496,0.00045091152,0.984364,0.00007521891,0.0000021403507,0.0000021359626,0.010222943,0.00029904352,0.000014674582,0.0020702616,0.00000826589,0.002279134],"study_design_scores_gemma":[0.00027861245,0.00010358742,0.9565929,0.0000075550943,0.000003069959,1.9112381e-8,0.012839345,0.000019505567,0.00024940207,0.029804138,0.000049599214,0.000052224434],"about_ca_topic_score_codex":0.0603598,"about_ca_topic_score_gemma":0.09568979,"teacher_disagreement_score":0.03532999,"about_ca_system_score_codex":0.001226298,"about_ca_system_score_gemma":0.000591351,"threshold_uncertainty_score":0.94589734},"labels":[],"label_agreement":null},{"id":"W4287551830","doi":"10.5281/zenodo.4423156","title":"A DESCRIPTIVE ANALYSIS OF THE ROLE OF MORTGAGE PLANNING IN QUICK SALE OF RESIDENTIAL PROPERTIES IN THE CITY OF BRAMPTON, CANADA","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Descriptive statistics; Business; Geography; Environmental planning; Statistics; Mathematics","score_opus":0.05403405106784988,"score_gpt":0.2568640215004198,"score_spread":0.20282997043256995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4287551830","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9928888,0.00007671105,0.000021218892,0.0003303468,0.000009633472,0.00020782996,0.000079996906,0.000009588924,0.006375848],"genre_scores_gemma":[0.9998776,0.0000057065195,0.000007350566,0.000017872975,0.000010095565,2.0353738e-8,0.000022196691,0.00003889927,0.000020289464],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984827,0.00048920553,0.00031834134,0.00013024932,0.0004552526,0.00012426975],"domain_scores_gemma":[0.99935114,0.000024622714,0.00018823158,0.00016863717,0.00023648425,0.000030866704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007614951,0.00004688536,0.00017137782,0.00009304913,0.00024118445,0.0000280407,0.00081761746,0.000024981335,0.0006440354],"category_scores_gemma":[0.0005545368,0.000033939774,0.000049703638,0.001658434,0.00038576967,0.000112205365,0.00016211663,0.00012519617,9.0909055e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037944884,0.0003492051,0.6440882,0.00020689254,0.00022973724,0.0000060292637,0.32522267,0.0013564838,0.022885334,0.0015412237,0.0015817746,0.0021530108],"study_design_scores_gemma":[0.0002375454,0.000060036098,0.9479774,0.000055850476,0.0000706825,1.10938856e-7,0.036604505,0.00036562647,0.00787934,0.00010767934,0.006572612,0.00006858224],"about_ca_topic_score_codex":0.24303088,"about_ca_topic_score_gemma":0.054589983,"teacher_disagreement_score":0.30388921,"about_ca_system_score_codex":0.00005460145,"about_ca_system_score_gemma":0.000046891262,"threshold_uncertainty_score":0.96266127},"labels":[],"label_agreement":null},{"id":"W4288041822","doi":"10.21837/pm.v20i21.1098","title":"IDENTIFYING URBAN DESIGN PRINCIPLES AND ITS ATTRIBUTES FOR WATERFRONT TRANSIT-ORIENTED DEVELOPMENT (WTOD)","year":2022,"lang":"en","type":"article","venue":"PLANNING MALAYSIA","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Universiti Sains Islam Malaysia","keywords":"Transit-oriented development; Pedestrian; Urban planning; Transport engineering; Sustainable development; Urban design; Environmental planning; Transit (satellite); Public transport; Civil engineering; Business; Engineering; Geography; Political science","score_opus":0.1144387621576391,"score_gpt":0.31629131525135756,"score_spread":0.20185255309371847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4288041822","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9669694,0.0009797546,0.030335352,0.0003159569,0.00028889906,0.00067284313,0.00003203199,0.00013608085,0.00026972257],"genre_scores_gemma":[0.9937967,0.0000042212837,0.0045341095,0.00004521309,0.00009079863,0.00021254657,0.00007973752,0.000015154791,0.0012214873],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99842966,0.00012627228,0.00029001434,0.00036521658,0.00035139165,0.00043745778],"domain_scores_gemma":[0.99949855,0.00014124214,0.00009337489,0.00009192889,0.000057316232,0.000117563],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0012609907,0.00013821208,0.00019318593,0.000076184275,0.0017138256,0.00009080661,0.00024141198,0.000046662633,0.00011666174],"category_scores_gemma":[0.000048039026,0.000140336,0.000049503,0.00017739653,0.000054879165,0.00023448793,0.000051942803,0.0001392862,0.0000027579886],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032068504,0.00019426603,0.8324542,0.0001938161,0.00012742136,0.000050673385,0.1542293,0.0036655953,0.0025927464,0.003072219,0.0019429479,0.0011561366],"study_design_scores_gemma":[0.00249074,0.00026954198,0.5033535,0.00018808537,0.00021400602,0.0000054528123,0.019524664,0.010392243,0.01593437,0.00096432556,0.44519296,0.0014701494],"about_ca_topic_score_codex":0.000057110326,"about_ca_topic_score_gemma":0.000031239724,"teacher_disagreement_score":0.44325,"about_ca_system_score_codex":0.00012123836,"about_ca_system_score_gemma":0.00015742802,"threshold_uncertainty_score":0.9995858},"labels":[],"label_agreement":null},{"id":"W4288096647","doi":"10.24908/cppapc.v2022i1.15316","title":"Freeing the “Captive Rider”","year":2022,"lang":"en","type":"article","venue":"Canadian Planning and Policy / Aménagement et politique au Canada","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Equity (law); Public transport; Context (archaeology); Business; Public relations; Marketing; Psychology; Political science; Geography; Engineering; Transport engineering","score_opus":0.019437613042864302,"score_gpt":0.29533354087217656,"score_spread":0.27589592782931227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4288096647","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.560717,0.00031443866,0.000010872939,0.09163073,0.00046844766,0.0003898659,0.00055938144,0.00004491784,0.34586433],"genre_scores_gemma":[0.9747611,0.000010274751,0.000007655484,0.0211616,0.0004442215,0.000052949435,0.000043231932,0.000013363135,0.0035055794],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99804306,0.0003213866,0.00018272526,0.00025624593,0.00036247933,0.0008341018],"domain_scores_gemma":[0.99890625,0.00017676082,0.000072889256,0.00021455156,0.000033162098,0.0005964097],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0008331957,0.0001395974,0.00013408886,0.00016060994,0.0028531165,0.00011382575,0.00040198982,0.000034046487,0.00025487124],"category_scores_gemma":[0.00011212249,0.0001336872,0.00003586674,0.00036008813,0.00019509849,0.00012423281,0.000058143123,0.00033346197,9.1442297e-7],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008080135,0.000009393695,0.3493511,0.000022050745,0.00006482718,0.00021492122,0.04750473,0.00037120678,0.0000017122605,0.49073565,0.11087006,0.0008462452],"study_design_scores_gemma":[0.00010424039,0.00001312767,0.17245023,0.00001158092,0.000013429452,0.0000017285308,0.017743787,0.000015287284,0.000002773207,0.00215376,0.8073127,0.0001773265],"about_ca_topic_score_codex":0.99991447,"about_ca_topic_score_gemma":0.99991465,"teacher_disagreement_score":0.69644266,"about_ca_system_score_codex":0.0023077733,"about_ca_system_score_gemma":0.014608266,"threshold_uncertainty_score":0.99844503},"labels":[],"label_agreement":null},{"id":"W4288425148","doi":"10.1007/s11116-022-10306-8","title":"Households with constrained off-street parking drive fewer miles","year":2022,"lang":"en","type":"article","venue":"Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"University of Arizona; California Department of Transportation; U.S. Department of Transportation","keywords":"Vehicle miles of travel; Transport engineering; Demographics; Constraint (computer-aided design); Work (physics); Land use; Travel behavior; Unit (ring theory); Business; Geography; Engineering; Civil engineering; Mathematics","score_opus":0.0191473530404105,"score_gpt":0.26176655965127593,"score_spread":0.24261920661086545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4288425148","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944649,0.00008604509,0.00037595927,0.00036757704,0.00013887788,0.00028990553,0.00015093587,0.00017084599,0.0039549894],"genre_scores_gemma":[0.9988825,0.000013956015,0.00029413667,0.00012672914,0.0000678719,0.000057489528,0.00024188039,0.000014125435,0.0003013128],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986805,0.00007725561,0.00021751202,0.00026339202,0.0005110594,0.0002503023],"domain_scores_gemma":[0.9995856,0.000052146897,0.000104897554,0.00012106651,0.0000553832,0.000080865815],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003246934,0.00010625637,0.00013804607,0.000041326406,0.00078893127,0.000028548217,0.00017632064,0.000040703002,0.0011078456],"category_scores_gemma":[0.0000053005683,0.0001033856,0.00006207302,0.00034847113,0.0002521161,0.00025336773,0.0000015587026,0.00015480333,0.0000021381145],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007953044,0.00009037228,0.97500926,0.0000111768,0.000021586562,0.000034456916,0.01857051,0.00033634048,0.00010594291,0.0032417737,0.00014858556,0.0023504654],"study_design_scores_gemma":[0.0005393554,0.00008311685,0.96512175,0.00001521085,0.00006705194,1.7247534e-7,0.013657608,0.000015868518,0.00013564595,0.00046920683,0.01966629,0.0002287378],"about_ca_topic_score_codex":0.0026469855,"about_ca_topic_score_gemma":0.043885373,"teacher_disagreement_score":0.04123839,"about_ca_system_score_codex":0.000060049068,"about_ca_system_score_gemma":0.00020396076,"threshold_uncertainty_score":0.9998053},"labels":[],"label_agreement":null},{"id":"W4288494543","doi":"10.2196/37379","title":"Estimating the Health Effects of Adding Bicycle and Pedestrian Paths at the Census Tract Level: Multiple Model Comparison","year":2022,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Pedestrian; Census tract; Census; American Community Survey; Behavioral Risk Factor Surveillance System; Geography; Transport engineering; Path (computing); Public health; Computer science; Environmental health; Medicine; Population; Engineering","score_opus":0.08205867148544882,"score_gpt":0.364528879197571,"score_spread":0.28247020771212217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4288494543","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97263294,0.003008755,0.00029952778,0.022541385,0.00018365869,0.00091884605,0.00014923507,0.000046569436,0.0002190677],"genre_scores_gemma":[0.9984406,0.000073892086,0.00024371421,0.0009457858,0.00008186201,0.00008759361,0.000037263886,0.000009755755,0.00007953725],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99725974,0.0010050852,0.00043685714,0.00029304938,0.00042016763,0.0005850953],"domain_scores_gemma":[0.9979323,0.0010999443,0.0003733108,0.00022149268,0.00004224573,0.00033071803],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.004506189,0.00011669286,0.0003289375,0.000036084035,0.0033765668,0.000080775375,0.00024794674,0.000034968834,0.000011416917],"category_scores_gemma":[0.00037434755,0.000078264915,0.000045296154,0.0003523008,0.00028412498,0.00012322636,0.00009096525,0.0002916967,2.2768283e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022244707,0.000074694944,0.92641556,0.00022386774,0.000004633186,4.880388e-7,0.019149508,0.00015476714,0.0000025697566,0.00016108932,0.00092652737,0.052864052],"study_design_scores_gemma":[0.0007311328,0.00018563808,0.8970504,0.00001597137,8.6444135e-7,0.0000015009134,0.006785933,0.06843166,6.832473e-7,0.00016072279,0.026470974,0.00016454165],"about_ca_topic_score_codex":0.0066511813,"about_ca_topic_score_gemma":0.01150809,"teacher_disagreement_score":0.0682769,"about_ca_system_score_codex":0.00015918602,"about_ca_system_score_gemma":0.00080872036,"threshold_uncertainty_score":0.99996364},"labels":[],"label_agreement":null},{"id":"W4288766326","doi":"10.26443/msurj.v17i1.174","title":"Assessing Early Public Response to COVID-19-Related Restrictions in New York City Using Spatial Analysis of Urban Mobility Data","year":2022,"lang":"en","type":"article","venue":"McGill Science Undergraduate Research Journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"McGill University; Georgia Institute of Technology","keywords":"Demographics; Geography; Coronavirus disease 2019 (COVID-19); Demography; Demographic economics; Spatial analysis; Pandemic; Individual mobility; Government (linguistics); Index (typography); Statistics; Medicine; Economics; Sociology; Computer science","score_opus":0.39517198859859165,"score_gpt":0.4920747302500617,"score_spread":0.09690274165147006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4288766326","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9760619,0.000065220054,0.0027820116,0.019427452,0.00026995994,0.0004527705,0.00012769808,0.00003789597,0.0007750962],"genre_scores_gemma":[0.9988413,0.000016112232,0.0007260447,0.00006975929,0.00006217337,0.000005976208,0.000010770618,0.0000101371925,0.00025776727],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98586994,0.0052733268,0.001011406,0.0010621052,0.0053169844,0.0014662504],"domain_scores_gemma":[0.99457747,0.0013443964,0.00037726315,0.001097477,0.00064318,0.0019602056],"candidate_categories":["metaresearch","bibliometrics","sts","scholarly_communication"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.06795196,0.00016377111,0.0004274794,0.004761348,0.011650858,0.0011185255,0.0039614025,0.00008218262,0.00046213414],"category_scores_gemma":[0.013245484,0.00016388106,0.00016826345,0.03847894,0.0021646847,0.0031123993,0.0011039262,0.001645503,0.0000021212993],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.00037209276,0.00061419763,0.97798204,0.0000063061334,0.00011093999,0.000082722756,0.004335629,0.007633138,0.0034937642,0.0020870988,0.00040127526,0.0028807952],"study_design_scores_gemma":[0.0009949515,0.00029046397,0.9389606,0.000031577067,0.0001679668,0.000009910657,0.013872799,0.01613881,0.00006575496,0.015183151,0.01381626,0.00046776782],"about_ca_topic_score_codex":0.16845575,"about_ca_topic_score_gemma":0.06509453,"teacher_disagreement_score":0.10336122,"about_ca_system_score_codex":0.0047355765,"about_ca_system_score_gemma":0.017763138,"threshold_uncertainty_score":0.9999184},"labels":[],"label_agreement":null},{"id":"W4289314771","doi":"10.20849/iref.v6i3.1252","title":"Are Neighborhood Features Associated With Premature Mortality in Toronto Neighborhoods?","year":2022,"lang":"en","type":"article","venue":"International Research in Economics and Finance","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Mortality rate; Demography; Equity (law); Medicine; Geography; Environmental health; Sociology; Political science","score_opus":0.04768320017720235,"score_gpt":0.3664667668773711,"score_spread":0.3187835667001688,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289314771","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9605391,0.000523358,0.0000010466232,0.00191671,0.00015549816,0.00021577344,0.00010838888,0.000007336728,0.036532763],"genre_scores_gemma":[0.99786925,0.0010882468,0.000012524346,0.000090286914,0.000065745546,0.00009073396,0.000020438829,0.000006757847,0.00075603195],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987089,0.00015357036,0.00019449089,0.0003244326,0.0003129961,0.00030558443],"domain_scores_gemma":[0.9994885,0.00015521531,0.000114634044,0.0001224056,0.00007996954,0.000039297363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016865521,0.0000735133,0.00014225526,0.000081149,0.00026153386,0.000099966855,0.0004140984,0.000059482187,0.00014721084],"category_scores_gemma":[0.00014432773,0.00007563065,0.000023819004,0.00018385024,0.00017387082,0.0004101891,0.00010084492,0.00043182514,5.474967e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007439804,0.0001655998,0.94836557,0.0000023893097,0.0000131439465,0.000026299316,0.0010639543,0.00025397693,6.921062e-7,0.04801473,0.00007710824,0.0019421602],"study_design_scores_gemma":[0.0003925112,0.000026449232,0.97421515,0.000024728119,8.731774e-7,2.5412265e-7,0.0019712667,0.00059727055,0.0000020605187,0.015724974,0.006954457,0.000089993315],"about_ca_topic_score_codex":0.014226957,"about_ca_topic_score_gemma":0.3737656,"teacher_disagreement_score":0.3595386,"about_ca_system_score_codex":0.0012376216,"about_ca_system_score_gemma":0.00021452962,"threshold_uncertainty_score":0.9923374},"labels":[],"label_agreement":null},{"id":"W4289333945","doi":"10.1016/j.jadohealth.2022.06.002","title":"Enjoyment Mediates Associations of the Physical and Family Environment With Adolescent Physical Activity: A Structural Equation Modeling Approach","year":2022,"lang":"en","type":"article","venue":"Journal of Adolescent Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Structural equation modeling; Psychology; Developmental psychology; Physical activity; Environmental health; Medicine; Mathematics; Physical medicine and rehabilitation; Statistics","score_opus":0.0595508374580815,"score_gpt":0.3163832551047268,"score_spread":0.25683241764664533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289333945","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949978,0.00017461854,0.002444089,0.0018557921,0.00012033321,0.00035314943,0.000024139385,0.000005617287,0.000024448558],"genre_scores_gemma":[0.9993004,0.000048691174,0.00016704926,0.00013903464,0.00032499954,0.000003979373,0.0000028107731,0.000007671558,0.000005349186],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99771196,0.00042553773,0.00028967563,0.00015293426,0.0011860637,0.00023385746],"domain_scores_gemma":[0.99895716,0.00004145509,0.00069641287,0.00011272978,0.000056016954,0.00013621262],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081512425,0.000104780855,0.00030454833,0.000044269913,0.0006688392,0.00002286132,0.00020788991,0.000021493137,0.0000034550335],"category_scores_gemma":[0.000016075648,0.00006971526,0.00011918056,0.0001645846,0.00013199593,0.00018042931,0.00005454353,0.00049507007,9.129513e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004635381,0.0057897386,0.82511985,0.00029287706,0.00015473782,0.000001954805,0.08606456,0.06136298,0.0012463012,0.0014670243,0.00015218343,0.017884249],"study_design_scores_gemma":[0.00087890745,0.00031051532,0.94008434,0.000076829536,0.00007950995,0.0000011894623,0.008581515,0.049000792,0.00007173664,0.0007162405,0.00006269946,0.00013570073],"about_ca_topic_score_codex":0.00035000013,"about_ca_topic_score_gemma":0.00003929008,"teacher_disagreement_score":0.114964515,"about_ca_system_score_codex":0.0006489756,"about_ca_system_score_gemma":0.0005334999,"threshold_uncertainty_score":0.5144238},"labels":[],"label_agreement":null},{"id":"W4289443442","doi":"10.1155/2022/9833689","title":"MaaS Bundling and Acceptance in the Pandemic Era: Evidence from Padua, Italy","year":2022,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Logistic regression; Biosecurity; Business; Ordered logit; Perception; Service (business); Psychology; Marketing; Geography; Medicine; Statistics; Mathematics","score_opus":0.030180627342622866,"score_gpt":0.3203179557651771,"score_spread":0.2901373284225542,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289443442","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99508053,0.0027532051,0.0006597402,0.0009980822,0.00027244698,0.00014951183,0.000013500508,0.000008763522,0.00006420531],"genre_scores_gemma":[0.9976624,0.0008404974,0.0012005643,0.00013502,0.00012110624,0.000008821573,0.000006871279,0.000005054032,0.000019633853],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99857235,0.00015185775,0.00044631277,0.00014038649,0.0005419917,0.0001471011],"domain_scores_gemma":[0.99914294,0.0003288811,0.00033029122,0.00008151961,0.000072305214,0.000044060613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001139099,0.00007383832,0.0001584605,0.00006159514,0.00033836166,0.000033988334,0.00028764416,0.000028905955,0.00011052666],"category_scores_gemma":[0.00005930391,0.000059550654,0.0000685757,0.00033979915,0.000085236985,0.0010612863,0.0000021064734,0.00040721422,2.5941478e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018319866,0.000054759872,0.92676044,0.000008578528,0.000008667043,0.000037450736,0.05419249,0.0037379316,0.0014862147,0.00010877113,0.00000997505,0.013411547],"study_design_scores_gemma":[0.00038600934,0.000057480567,0.9725527,0.000052265506,0.000029628785,7.8882556e-7,0.021181593,0.000008079774,0.000027608661,0.0045448365,0.0010863435,0.00007265486],"about_ca_topic_score_codex":0.000593362,"about_ca_topic_score_gemma":0.010066515,"teacher_disagreement_score":0.045792297,"about_ca_system_score_codex":0.0000814394,"about_ca_system_score_gemma":0.00012820947,"threshold_uncertainty_score":0.56173515},"labels":[],"label_agreement":null},{"id":"W4289546803","doi":"10.2139/ssrn.4179127","title":"Social Inequalities in Neighborhood-Level Streetscape Perceptions in Shanghai: The Coherence and Divergence between the Objective and Subjective Measurements","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Inequality; Coherence (philosophical gambling strategy); Divergence (linguistics); Perception; Social inequality; Psychology; Geography; Statistics; Mathematics; Social psychology; Mathematical analysis","score_opus":0.06225753881073113,"score_gpt":0.3140645394916792,"score_spread":0.251807000680948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289546803","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958418,0.0011151425,0.00007664228,0.0018897464,0.00005752487,0.00028870496,0.000022813092,0.000008043147,0.0006995581],"genre_scores_gemma":[0.9992495,0.0003497167,0.0000020674531,0.00005233157,0.00015025023,0.000037794056,0.0000021387552,0.0000060866555,0.00015011479],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971977,0.0008729941,0.00024589818,0.00020964288,0.00051149906,0.00096229423],"domain_scores_gemma":[0.9995225,0.00018777479,0.0001204474,0.000070547765,0.000059339047,0.00003939171],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0044483384,0.00011067875,0.00015540858,0.0000742428,0.0022895348,0.0000816986,0.00038031253,0.000042800475,0.00008192496],"category_scores_gemma":[0.00008233676,0.00007773088,0.000044128377,0.00046578477,0.00042139456,0.00028050458,0.000089296744,0.0015723646,4.8987926e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002428946,0.000031081225,0.9420145,0.0000014507137,0.000027487149,6.247073e-7,0.045953646,0.0000034893646,0.000012268628,0.0075305793,0.000005451319,0.004395137],"study_design_scores_gemma":[0.0002570094,0.000053958312,0.7400344,0.0000042101037,0.00001600656,0.0000012599904,0.1444136,0.000004360253,0.0000014927863,0.11511758,0.000018976965,0.00007716041],"about_ca_topic_score_codex":0.008117242,"about_ca_topic_score_gemma":0.20769893,"teacher_disagreement_score":0.20198011,"about_ca_system_score_codex":0.000927673,"about_ca_system_score_gemma":0.001323047,"threshold_uncertainty_score":0.9990094},"labels":[],"label_agreement":null},{"id":"W4290771006","doi":"10.2196/37039","title":"Association Between Neighborhood Factors and Adult Obesity in Shelby County, Tennessee: Geospatial Machine Learning Approach","year":2022,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Obesity; Socioeconomic status; Disadvantaged; Geospatial analysis; Poverty; Public health; Environmental health; Geography; Social determinants of health; Health equity; Demography; Gerontology; Medicine; Population; Political science; Sociology; Cartography","score_opus":0.02245403699272939,"score_gpt":0.2821354559527698,"score_spread":0.2596814189600404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4290771006","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99210393,0.0004796702,0.0000822691,0.0053718,0.00009438018,0.00045481822,0.00014620852,0.00008126712,0.0011856336],"genre_scores_gemma":[0.99874914,0.00018208558,0.00001635666,0.00030309666,0.000106606094,0.0000519677,0.0003817353,0.000009456974,0.00019954359],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970559,0.0010363102,0.0003544822,0.00039471773,0.00054323557,0.0006153529],"domain_scores_gemma":[0.9989338,0.00026254408,0.00024750634,0.000098968674,0.000086242464,0.00037092424],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0037104997,0.00013691736,0.00035604875,0.00009134314,0.0013478363,0.00013007197,0.00016859228,0.00010627604,0.00007102845],"category_scores_gemma":[0.0004065582,0.0001318328,0.000033026423,0.00053810363,0.000073191855,0.0003066867,0.00006849738,0.00059354224,3.8437926e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000080370255,0.000089555375,0.98975205,0.000051596515,0.000008345647,4.981235e-7,0.0070937374,0.0000014672249,1.9658842e-7,0.0002215471,0.00011361894,0.0026593378],"study_design_scores_gemma":[0.00041509836,0.00005531721,0.97813016,0.0000014153851,5.8174254e-7,1.05550804e-7,0.002702765,0.0003970313,4.4266507e-8,0.00010459444,0.018052861,0.00014000427],"about_ca_topic_score_codex":0.018597633,"about_ca_topic_score_gemma":0.021731006,"teacher_disagreement_score":0.017939242,"about_ca_system_score_codex":0.00040836088,"about_ca_system_score_gemma":0.0005153753,"threshold_uncertainty_score":0.99995226},"labels":[],"label_agreement":null},{"id":"W4291208923","doi":"10.2139/ssrn.4188626","title":"Highway Expansion and Impacts on Land Use Changes: An Event Study Approach","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; HEC Montréal","funders":"","keywords":"Event (particle physics); Land use; Geography; Environmental planning; Environmental resource management; Environmental science; Civil engineering; Engineering","score_opus":0.030197705997194953,"score_gpt":0.3028106549404272,"score_spread":0.27261294894323224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291208923","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984037,0.00041714634,0.0000989726,0.00038116175,0.00014408566,0.00031854483,0.0000046935793,0.000036157908,0.00019550303],"genre_scores_gemma":[0.99866104,0.00034499256,0.0000067055744,0.000082016195,0.0002586998,0.000015675972,0.0000072394255,0.000012178249,0.0006114589],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99731845,0.0004744516,0.00015852592,0.00025722844,0.00057724334,0.0012140756],"domain_scores_gemma":[0.99950737,0.0000355771,0.000106628,0.00014652648,0.000041179683,0.00016271372],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0034614876,0.000112354304,0.00014743501,0.0000886864,0.0015062644,0.00013126338,0.00025225963,0.000034136352,0.00006291478],"category_scores_gemma":[0.000032006446,0.000093247974,0.00003768519,0.00025577788,0.00005367009,0.00035997326,0.000031685242,0.0011604661,0.0000010194769],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030522078,0.0020183094,0.9533945,0.000004174199,0.000089314344,0.000015090174,0.026915962,0.000090404,0.00008936915,0.0069981245,0.000057652396,0.0100219045],"study_design_scores_gemma":[0.0031810182,0.0076148254,0.7748519,0.000014391355,0.00013597342,0.000044173026,0.18531641,0.0001594114,0.000021431646,0.023681542,0.0043373024,0.00064159255],"about_ca_topic_score_codex":0.0029518008,"about_ca_topic_score_gemma":0.03770386,"teacher_disagreement_score":0.17854254,"about_ca_system_score_codex":0.000702749,"about_ca_system_score_gemma":0.0011026718,"threshold_uncertainty_score":0.99979365},"labels":[],"label_agreement":null},{"id":"W4291449349","doi":"10.1016/j.trip.2022.100667","title":"Riding through the pandemic: Using Strava data to monitor the impacts of COVID-19 on spatial patterns of bicycling","year":2022,"lang":"en","type":"article","venue":"Transportation Research Interdisciplinary Perspectives","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada; Canadian Institutes of Health Research","keywords":"Recreation; Geography; Demographics; Transport engineering; Coronavirus disease 2019 (COVID-19); Spatial analysis; Pandemic; Demography; Medicine; Engineering","score_opus":0.28093892167821344,"score_gpt":0.524637027252326,"score_spread":0.24369810557411253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291449349","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9884473,0.00015641525,0.0023572205,0.006580483,0.00016106655,0.00088984304,0.0010885746,0.000029429802,0.00028964764],"genre_scores_gemma":[0.9994895,0.000047098194,0.000081694154,0.000036134392,0.00016824868,0.00003823347,0.00006542804,0.000016107886,0.000057584377],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9962215,0.0008985293,0.00047817122,0.0005029956,0.0014803451,0.00041845243],"domain_scores_gemma":[0.99774396,0.0009775405,0.00020357057,0.00068516453,0.0002406199,0.00014916982],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0037833678,0.00013333448,0.00022564364,0.00017493113,0.002508097,0.00005135174,0.0016493798,0.00004522275,0.000597317],"category_scores_gemma":[0.0002358301,0.00009057355,0.00011730807,0.0007793304,0.00075643393,0.0003847874,0.00021124294,0.00062674633,0.0000011135145],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008682494,0.00038228018,0.2670413,0.00009136465,0.00009392727,0.000012889002,0.7197006,0.005115387,0.0034275525,0.0025684927,0.0001427063,0.00055527926],"study_design_scores_gemma":[0.0002550976,0.00026173866,0.35784778,0.00005250375,0.000029511586,2.3724617e-7,0.6385434,0.00024686992,0.00027886085,0.002080683,0.0002961692,0.000107106585],"about_ca_topic_score_codex":0.044209972,"about_ca_topic_score_gemma":0.04216538,"teacher_disagreement_score":0.09080648,"about_ca_system_score_codex":0.0003956202,"about_ca_system_score_gemma":0.0005425611,"threshold_uncertainty_score":0.9987905},"labels":[],"label_agreement":null},{"id":"W4291552001","doi":"10.1186/s12877-022-03233-x","title":"How different are objective operationalizations of walkability for older adults compared to the general population? A systematic review","year":2022,"lang":"en","type":"review","venue":"BMC Geriatrics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Agència de Gestió d'Ajuts Universitaris i de Recerca; Universitat Autònoma de Barcelona; Ministerio de Ciencia e Innovación; Generalitat de Catalunya","keywords":"Walkability; Medicine; Gerontology; Population; Operationalization; Built environment; Level design; Environmental health; Physical activity; Physical medicine and rehabilitation","score_opus":0.06812044623322841,"score_gpt":0.36072925518144955,"score_spread":0.29260880894822117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291552001","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00015831066,0.98022956,0.0022032105,0.0001917011,0.00047714025,0.015791897,0.0008910045,0.000035391287,0.000021758613],"genre_scores_gemma":[0.001451665,0.9903196,0.0004278702,0.00007191633,0.0003415825,0.0054634367,0.0012875538,0.000030376998,0.00060596626],"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","domain_scores_codex":[0.99636257,0.0011757442,0.0010770045,0.0004847963,0.00066397124,0.0002359371],"domain_scores_gemma":[0.99704736,0.0008386583,0.0010367851,0.00060731056,0.0003743433,0.0000955674],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012987846,0.00028783386,0.0019335004,0.00009433178,0.0007287173,0.00012092744,0.00071317214,0.00011881055,0.00014851378],"category_scores_gemma":[0.0018765902,0.0001822525,0.00077138236,0.0010781961,0.00004883564,0.00011330997,0.00006785455,0.00014143519,0.0000015170472],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000059323024,0.00018461692,0.0025541973,0.99199444,0.00007890183,1.4988971e-7,0.0015816503,0.00001267431,1.8985462e-9,0.0012403458,0.00066712225,0.0016799845],"study_design_scores_gemma":[0.0010497076,0.00010169769,0.028026072,0.3821953,0.016953185,0.0000016131884,0.005128224,0.00018707503,1.16336516e-7,0.0007568155,0.56338024,0.0022199503],"about_ca_topic_score_codex":0.0005027728,"about_ca_topic_score_gemma":0.0057145497,"teacher_disagreement_score":0.60979915,"about_ca_system_score_codex":0.00041235276,"about_ca_system_score_gemma":0.0004782307,"threshold_uncertainty_score":0.74320406},"labels":[],"label_agreement":null},{"id":"W4291570573","doi":"","title":"Ralentir la vitesse à Paris pour réduire la pollution ? Une analyse des discours médiatiques de 1990 à 2016","year":2017,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Pollution; Media coverage; Political science; Advertising; Environmental science; Sociology; Media studies; Business","score_opus":0.02200708334122065,"score_gpt":0.29357128625909396,"score_spread":0.2715642029178733,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291570573","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7463784,0.0067643514,0.039534405,0.058148153,0.00043575687,0.0007384546,0.00038013878,0.00037449814,0.14724582],"genre_scores_gemma":[0.91988206,0.008415241,0.014802519,0.00008567943,0.00014898759,0.00008624566,0.0004963044,0.000070817274,0.05601212],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9806711,0.015105895,0.0010231339,0.0013651843,0.0008142657,0.0010204358],"domain_scores_gemma":[0.99110067,0.002070568,0.0015502876,0.0028230143,0.001838913,0.00061657804],"candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":["sts"],"category_scores_codex":[0.014549537,0.00070202124,0.00084843335,0.00024019227,0.0025742152,0.0015710696,0.0029236162,0.0009398256,0.00048442394],"category_scores_gemma":[0.0019665519,0.00072628044,0.0007537778,0.00075659645,0.0039512836,0.0011032138,0.0007926515,0.0011961962,0.00008964913],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007594082,0.003159647,0.60745984,0.0006173429,0.00052235165,0.000056620745,0.090417035,0.00013396639,0.0025553345,0.16799775,0.0053720223,0.12163215],"study_design_scores_gemma":[0.0014321052,0.0000018648319,0.7706664,0.006867399,0.0008604319,0.000009784035,0.0039019932,0.0037517888,0.01549737,0.09419997,0.100933224,0.0018776142],"about_ca_topic_score_codex":0.09533364,"about_ca_topic_score_gemma":0.06855994,"teacher_disagreement_score":0.17350367,"about_ca_system_score_codex":0.0006431191,"about_ca_system_score_gemma":0.002084485,"threshold_uncertainty_score":0.9995188},"labels":[],"label_agreement":null},{"id":"W4292384610","doi":"10.1177/25152459221101816","title":"Effective Maps, Easily Done: Visualizing Geo-Psychological Differences Using Distance Weights","year":2022,"lang":"en","type":"article","venue":"Advances in Methods and Practices in Psychological Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Weighting; Computer science; Coding (social sciences); Complement (music); Scale (ratio); Data mining; Artificial intelligence; Information retrieval; Cartography; Geography; Statistics; Mathematics","score_opus":0.09082553419603911,"score_gpt":0.5838870079131621,"score_spread":0.49306147371712294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4292384610","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96232873,0.0071046897,0.009978038,0.00046580884,0.0012447452,0.0006208426,0.000007711846,0.00005685928,0.018192561],"genre_scores_gemma":[0.9209193,0.0018579123,0.0766452,0.0003152021,0.00009802459,0.0001225091,0.0000011389977,0.0000061421815,0.000034564397],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99255604,0.0037014673,0.00055315014,0.0014642738,0.0008862404,0.0008388255],"domain_scores_gemma":[0.99576163,0.0030069465,0.0006296396,0.0003367608,0.000059016336,0.00020602213],"candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0149534,0.00024045132,0.00044010088,0.00023516393,0.0017783507,0.00021908896,0.0012568474,0.0001240271,0.00030091472],"category_scores_gemma":[0.0027286785,0.00018599117,0.000064654756,0.0030146395,0.0031326741,0.002643778,0.0002518081,0.0009981503,0.0000013320839],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025953713,0.0005961512,0.79217017,0.000013275175,0.0000022830948,0.000052608597,0.0025307222,0.000035075147,0.0006845678,0.021931091,0.0000022820927,0.18172224],"study_design_scores_gemma":[0.00056776806,0.00036297264,0.80037117,0.000037769325,0.000011750218,0.000009865813,0.0042354497,0.00031590738,0.000043865544,0.16889285,0.02471018,0.00044045516],"about_ca_topic_score_codex":0.00069431483,"about_ca_topic_score_gemma":0.00069748535,"teacher_disagreement_score":0.18128179,"about_ca_system_score_codex":0.00023983294,"about_ca_system_score_gemma":0.00005520117,"threshold_uncertainty_score":0.9995802},"labels":[],"label_agreement":null},{"id":"W4292470373","doi":"10.1177/0739456x221113796","title":"Fostering Mobility for People Living with Dementia in Suburban Neighborhoods Through Land Use, Urban Design and Wayfinding","year":2022,"lang":"en","type":"article","venue":"Journal of Planning Education and Research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo; Toronto Metropolitan University","funders":"","keywords":"Dementia; Citizen journalism; Community design; Geography; Participatory action research; Land use; Gerontology; Sociology; Medicine; Political science; Engineering; Civil engineering","score_opus":0.15472071754413777,"score_gpt":0.4300405370553369,"score_spread":0.2753198195111991,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4292470373","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99634105,0.0012148201,0.0013247306,0.00050130393,0.0001362208,0.0002745484,0.0000017768865,0.000004172379,0.00020137425],"genre_scores_gemma":[0.99782044,0.000041451054,0.0018353057,0.000019351113,0.00011478545,0.000024390703,0.0000014369502,0.0000060236835,0.0001368323],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99864346,0.0003969106,0.00021258488,0.00014139988,0.00037495344,0.00023068678],"domain_scores_gemma":[0.9987161,0.0008794881,0.00010831341,0.00005792088,0.00015459281,0.00008358008],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004772242,0.000053257172,0.00013075901,0.00017968848,0.0008527022,0.00018453327,0.0001250452,0.000029280629,0.000033169472],"category_scores_gemma":[0.00026198186,0.00004453708,0.000019166206,0.00033821614,0.000089959074,0.0005012084,0.00006148844,0.0003282619,3.8343178e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008220995,0.00013437323,0.9478504,0.000044387736,0.000011514965,0.0000014835375,0.05053036,0.00007197577,0.000054655746,0.00009931913,0.0004622355,0.0006570901],"study_design_scores_gemma":[0.00028139877,0.00020599409,0.9751078,0.00013713683,0.000012211576,0.0000047921576,0.021483649,0.00011625841,0.00001680073,0.0010745267,0.0014915104,0.000067907196],"about_ca_topic_score_codex":0.000899931,"about_ca_topic_score_gemma":0.00025101568,"teacher_disagreement_score":0.029046709,"about_ca_system_score_codex":0.00010925855,"about_ca_system_score_gemma":0.0005874707,"threshold_uncertainty_score":0.6558382},"labels":[],"label_agreement":null},{"id":"W4292488348","doi":"10.1038/s41598-022-17713-y","title":"ALF-Score++, a novel approach to transfer knowledge and predict network-based walkability scores across cities","year":2022,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Saskatchewan; Queen's University; Memorial University of Newfoundland","funders":"","keywords":"Walkability; Transferability; Computer science; Transfer of learning; Machine learning; Built environment; Process (computing); Metric (unit); Reuse; Artificial intelligence; Engineering","score_opus":0.036363612090004424,"score_gpt":0.29291226316549274,"score_spread":0.2565486510754883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4292488348","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9825082,0.00041912825,0.0028895494,0.00019482084,0.004479623,0.0010466757,0.000068037916,0.00019120672,0.008202793],"genre_scores_gemma":[0.99549633,0.0000010458654,0.00051253475,0.000076778015,0.00021680289,0.0002490472,0.00008692766,0.000017323464,0.003343213],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9959383,0.00020605588,0.00061867514,0.0013541701,0.0010554065,0.0008273731],"domain_scores_gemma":[0.9984619,0.0000925222,0.000100320336,0.0007850741,0.00019163037,0.00036854894],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.007739598,0.00020652935,0.00031606673,0.000095963995,0.0040668854,0.00053572515,0.00042007392,0.00007789327,0.00028355877],"category_scores_gemma":[0.00012815406,0.00019787696,0.00016111124,0.0014247674,0.0015673031,0.0003179117,0.00014335896,0.0002631305,0.0000022178795],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007543694,0.00078562694,0.9508528,0.00011437272,0.000021787822,0.00002938131,0.034703698,0.0016690011,0.00042571276,0.00053527753,0.007976217,0.0028106628],"study_design_scores_gemma":[0.00085202133,0.00018136865,0.555425,0.00008108915,0.000109246495,0.00002150926,0.008767827,0.0013499487,0.0011777285,0.012224355,0.41850415,0.0013057718],"about_ca_topic_score_codex":0.0011840389,"about_ca_topic_score_gemma":0.003735655,"teacher_disagreement_score":0.41052794,"about_ca_system_score_codex":0.00017592758,"about_ca_system_score_gemma":0.0007584237,"threshold_uncertainty_score":0.9972297},"labels":[],"label_agreement":null},{"id":"W4292635857","doi":"","title":"Défis et enjeux territoriaux de l’électrification de masse des déplacements individuels : la construction d'une automobilisation « électrique ».","year":2022,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Physics","score_opus":0.02686890963843649,"score_gpt":0.2913958229722331,"score_spread":0.26452691333379663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4292635857","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6814303,0.0016677764,0.2374861,0.022657137,0.0009117979,0.0012573951,0.00019511566,0.0004645272,0.05392989],"genre_scores_gemma":[0.9215677,0.0045622312,0.06535444,0.000116809955,0.0001252147,0.00041719724,0.0012463104,0.00006987625,0.006540241],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9693066,0.02658574,0.0010330691,0.0012441437,0.00096665736,0.00086379517],"domain_scores_gemma":[0.9926159,0.0027408374,0.0011394368,0.0015461993,0.0015597593,0.00039787265],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.025122268,0.0005350886,0.00052837655,0.00028703775,0.0018922837,0.0007703458,0.0016559531,0.0007411459,0.0012801632],"category_scores_gemma":[0.00200643,0.00067059754,0.0003733829,0.0015191395,0.0014290827,0.00077020325,0.00042550953,0.0016220107,0.000022436408],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000089686604,0.0023094632,0.32362932,0.00044750253,0.00024002814,0.000010885556,0.13696136,0.0005419322,0.0092451945,0.42389634,0.0009291009,0.10169918],"study_design_scores_gemma":[0.0019900568,0.0000059914714,0.5211601,0.0020004192,0.000389137,0.000025260611,0.0051432922,0.0076894686,0.045922395,0.18549691,0.22843911,0.0017378407],"about_ca_topic_score_codex":0.029581543,"about_ca_topic_score_gemma":0.015425816,"teacher_disagreement_score":0.24013741,"about_ca_system_score_codex":0.0024663452,"about_ca_system_score_gemma":0.0023512465,"threshold_uncertainty_score":0.9996328},"labels":[],"label_agreement":null},{"id":"W4292664260","doi":"10.1155/2022/2080552","title":"How Does Built Environment Affect Metro Trip Time of Elderly? Evidence from Smart Card Data in Nanjing","year":2022,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Yunnan Provincial Department of Education; National Natural Science Foundation of China","keywords":"Built environment; Smart card; Linear regression; Travel behavior; Bayesian multivariate linear regression; Public transport; Computer science; Regression analysis; Transport engineering; Affect (linguistics); Gradient boosting; Multivariate statistics; Implementation; Variables; Psychology; Engineering; Random forest; Machine learning; Computer security","score_opus":0.032185473170536646,"score_gpt":0.30291118734471306,"score_spread":0.2707257141741764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4292664260","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99572736,0.0014717575,0.0012741942,0.0007834015,0.00032730703,0.00022203519,0.00017286892,0.000008294097,0.000012792169],"genre_scores_gemma":[0.9966141,0.00032979867,0.002780602,0.000013225343,0.00009044834,0.00000552299,0.00008674207,0.000009401003,0.00007014256],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978369,0.0002237638,0.0006047856,0.00025288595,0.00089611195,0.00018557366],"domain_scores_gemma":[0.9986491,0.00025467054,0.00069151237,0.00027740173,0.00005227062,0.00007504011],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014815272,0.00010963511,0.0003588775,0.00013833014,0.00016251463,0.000024847237,0.0005560612,0.00004261962,0.00021979699],"category_scores_gemma":[0.000103601065,0.00009396963,0.00012725081,0.0003004235,0.000091712056,0.0016966957,0.0000093398,0.00028646973,4.7513342e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005285705,0.0002359599,0.9219604,0.000048961305,0.00006790488,0.000069561225,0.01632697,0.007002031,0.03942916,0.0000110292485,0.000024991807,0.014294424],"study_design_scores_gemma":[0.00083704543,0.00020984394,0.9851188,0.00012775787,0.00011967195,1.6518305e-7,0.007919507,0.000024090037,0.0032182497,0.00073959335,0.0015440471,0.00014121084],"about_ca_topic_score_codex":0.0013229192,"about_ca_topic_score_gemma":0.0055556116,"teacher_disagreement_score":0.063158385,"about_ca_system_score_codex":0.00016524465,"about_ca_system_score_gemma":0.00015203071,"threshold_uncertainty_score":0.38319704},"labels":[],"label_agreement":null},{"id":"W4292664646","doi":"10.2196/preprints.41938","title":"Adapting Transportation Planning e-Tools to Older Adults’ Needs: Scoping Review (Preprint)","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre Hospitalier Universitaire de Sherbrooke; Université de Sherbrooke","funders":"","keywords":"CINAHL; Grey literature; Autonomy; MEDLINE; Psychology; Peer review; Social media; Gerontology; Public relations; Internet privacy; Medical education; Business; Medicine; Computer science; Psychological intervention; Political science; World Wide Web; Nursing","score_opus":0.06696131975626553,"score_gpt":0.3747860642052997,"score_spread":0.3078247444490342,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4292664646","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85066086,0.03614227,0.0103557855,0.0046860212,0.0023576673,0.015143433,0.00015581487,0.0014429477,0.0790552],"genre_scores_gemma":[0.98892874,0.0024685268,0.0027238408,0.002634411,0.00042655115,0.0010639855,0.0004407391,0.000052728807,0.0012604656],"study_design_codex":"observational","study_design_gemma":"systematic_review","domain_scores_codex":[0.9962695,0.0002597182,0.0010491913,0.0009333029,0.0009345078,0.0005537336],"domain_scores_gemma":[0.9982632,0.00020242827,0.00040436652,0.0006127773,0.00017234571,0.00034492838],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0023427082,0.00033854705,0.00068812503,0.00018001483,0.00069993426,0.0002125291,0.0009465941,0.00022306232,0.01239768],"category_scores_gemma":[0.00034946203,0.0003622382,0.00034250706,0.0006690738,0.00007140865,0.00036637275,0.00014687488,0.00086413743,0.000032959066],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019708196,0.00043290082,0.5193497,0.06430595,0.00020529918,0.00010844017,0.29421058,0.0075484416,0.000018233599,0.002568194,0.0042370935,0.10681805],"study_design_scores_gemma":[0.0009399361,0.000087323904,0.26378468,0.65166247,0.00047982793,3.840105e-7,0.06630225,0.00008594709,0.00010348472,0.00082019734,0.012477053,0.0032564655],"about_ca_topic_score_codex":0.0058040344,"about_ca_topic_score_gemma":0.004914831,"teacher_disagreement_score":0.5873565,"about_ca_system_score_codex":0.0002298518,"about_ca_system_score_gemma":0.0008971441,"threshold_uncertainty_score":0.99988294},"labels":[],"label_agreement":null},{"id":"W4292801095","doi":"10.21203/rs.3.rs-1976226/v1","title":"A Comprehensive Data Fusion to Evaluate the Impacts of COVID-19 on Passenger Travel Demands: Application of a Core-Satellite Data Collection Paradigm","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Data collection; Travel behavior; Survey data collection; Estimation; Computer science; Travel survey; Transport engineering; Econometrics; Operations research; Statistics; Economics; Engineering","score_opus":0.3321380543161975,"score_gpt":0.5149286465331273,"score_spread":0.18279059221692984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4292801095","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95175403,0.0033181664,0.003486471,0.014481227,0.00043903294,0.013309987,0.010429638,0.00009899426,0.0026824225],"genre_scores_gemma":[0.99238,0.0015658302,0.000115267234,0.00009450282,0.00016100905,0.00027934625,0.0052463966,0.000023308796,0.00013434493],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99232733,0.002105807,0.00066254474,0.0012479447,0.0031206,0.0005357638],"domain_scores_gemma":[0.99240285,0.0020308078,0.00031852577,0.004228975,0.0006440041,0.00037484348],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010777693,0.00022216736,0.00049818517,0.00036179583,0.0011065372,0.00010332966,0.004268381,0.00023460615,0.000385095],"category_scores_gemma":[0.001960386,0.00017250188,0.00010248768,0.001763238,0.00064263464,0.00019425411,0.002812716,0.001094468,0.0000102000795],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.014724497,0.0066886493,0.4879947,0.020065034,0.0013992416,0.00009518474,0.27955797,0.0050437823,0.011484887,0.012993036,0.09966672,0.060286295],"study_design_scores_gemma":[0.0016732559,0.0009277534,0.65593785,0.00071281317,0.00025392597,0.0000010538283,0.030973006,0.013589577,0.00043392988,0.017315766,0.2773817,0.0007993775],"about_ca_topic_score_codex":0.04431349,"about_ca_topic_score_gemma":0.01735927,"teacher_disagreement_score":0.24858496,"about_ca_system_score_codex":0.00058021815,"about_ca_system_score_gemma":0.0033050284,"threshold_uncertainty_score":0.968688},"labels":[],"label_agreement":null},{"id":"W4293064392","doi":"10.32920/19750216","title":"Travel time modelling in transit oriented neighbourhoods of Toronto, Montreal and Vancouver: Application of geographic information systems for transportation (GIS-T)","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"TRIPS architecture; Transit (satellite); Transport engineering; Geography; Descriptive statistics; Public transport; Geographic information system; Travel behavior; Travel time; Cartography; Engineering; Statistics; Mathematics","score_opus":0.010054719141459873,"score_gpt":0.2510743457015774,"score_spread":0.24101962656011752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293064392","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5734224,0.00087887153,0.41671857,0.000018224588,0.00026584283,0.0029346882,0.0008837205,0.00004926754,0.004828436],"genre_scores_gemma":[0.99763113,0.00036393074,0.0006811343,0.0000042977163,0.000027333455,0.0002904184,0.0009213173,0.000009180593,0.00007124272],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980977,0.00006332193,0.00097616226,0.000270613,0.00040792534,0.00018423534],"domain_scores_gemma":[0.99894464,0.00006426731,0.0005370097,0.00019151332,0.00020481387,0.000057763827],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008418858,0.00016212506,0.00046301563,0.0001132852,0.00010666158,0.000020593025,0.0001990191,0.000247195,0.00010668878],"category_scores_gemma":[0.0000058349274,0.00017215742,0.0001459945,0.00015315515,0.00010117444,0.0005879783,0.000007174315,0.00014883399,6.843807e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013202211,0.00087925955,0.44599542,0.006749148,0.0002737412,5.207665e-7,0.13508187,0.35660362,0.00023084308,0.023714688,0.00007728003,0.029073382],"study_design_scores_gemma":[0.0019928967,0.0001302519,0.3898274,0.0001741748,0.0002893843,3.1823348e-8,0.015754564,0.5873552,0.0000850756,0.0029075402,0.0009404569,0.0005430392],"about_ca_topic_score_codex":0.41275686,"about_ca_topic_score_gemma":0.2595613,"teacher_disagreement_score":0.42420876,"about_ca_system_score_codex":0.00011582861,"about_ca_system_score_gemma":0.00016857448,"threshold_uncertainty_score":0.75394976},"labels":[],"label_agreement":null},{"id":"W4293150503","doi":"10.31219/osf.io/sjd5n","title":"Introducing spatial availability, a singly-constrained measure of competitive accessibility","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"The Scarborough Hospital; University of Toronto; McMaster University","funders":"","keywords":"Interpretability; Measure (data warehouse); Computer science; Constraint (computer-aided design); Competition (biology); Catchment area; Population; Operations research; Transport engineering; Geography; Mathematics; Engineering; Data mining; Cartography; Ecology; Artificial intelligence","score_opus":0.03384780187455654,"score_gpt":0.3156205804071386,"score_spread":0.28177277853258204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293150503","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7905015,0.00018783551,0.00242384,0.0011511062,0.0017080263,0.0014813631,0.0003666665,0.00028121236,0.20189847],"genre_scores_gemma":[0.9967007,0.00001270584,0.0016339546,0.00006922564,0.00055691664,0.00006455795,0.00014505978,0.000023267205,0.00079358934],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99434876,0.0011026599,0.0011484723,0.0014347687,0.001416744,0.0005485688],"domain_scores_gemma":[0.9968403,0.0004184668,0.0006958628,0.0011829264,0.0006458281,0.00021660994],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004995627,0.00038970736,0.000950666,0.00015032922,0.0006457852,0.00015607403,0.0014953787,0.00041851122,0.024888732],"category_scores_gemma":[0.0011890001,0.0003869794,0.00051130756,0.0004448124,0.0018046176,0.00025537063,0.0010014749,0.0013349663,0.0000070196083],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022874976,0.0010203517,0.9591775,0.00066749664,0.00017151842,0.00000973858,0.01996079,0.00012208127,0.00028947147,0.007509137,0.00018819742,0.010654995],"study_design_scores_gemma":[0.0020799516,0.00026039773,0.8743095,0.00052266807,0.0006341024,5.4896714e-7,0.039101463,0.0004039566,0.0031012984,0.06802924,0.008935701,0.002621207],"about_ca_topic_score_codex":0.050066434,"about_ca_topic_score_gemma":0.05467905,"teacher_disagreement_score":0.20619924,"about_ca_system_score_codex":0.0005814942,"about_ca_system_score_gemma":0.0026116446,"threshold_uncertainty_score":0.9998582},"labels":[],"label_agreement":null},{"id":"W4293200219","doi":"10.17077/dhm.31743","title":"Using Santos Pro™ trade-off analysis to inform the rear chassis design of a novel electric scooter","year":2022,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Chassis; Payload (computing); Automotive engineering; Cushioning; Computer science; Range (aeronautics); Volume (thermodynamics); Engineering; Simulation; Mechanical engineering; Aerospace engineering; Physics","score_opus":0.10218538232816841,"score_gpt":0.3445752407242713,"score_spread":0.2423898583961029,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293200219","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92604357,0.00007580339,0.06504954,0.0019017827,0.000055907018,0.0008150698,0.000012860667,0.000051634364,0.0059938664],"genre_scores_gemma":[0.99722177,0.000003012007,0.0019276132,0.00029278855,0.000035215988,0.00002944212,0.0000019660295,0.0000049936157,0.00048321404],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985869,0.00009879252,0.0002735438,0.00019078936,0.00057932717,0.0002706248],"domain_scores_gemma":[0.9994875,0.000085736545,0.000100713754,0.0002186032,0.00003911755,0.00006828493],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013687661,0.000080653845,0.00019193844,0.00020834683,0.0008552331,0.000044984936,0.00042305668,0.000032568267,0.0011139261],"category_scores_gemma":[0.000042202333,0.000055872602,0.00015070134,0.0046628653,0.00007337732,0.00017428624,0.00003524661,0.00011918809,0.0000010878205],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005457063,0.001940368,0.7316922,0.000047742735,0.0020722095,0.000008070199,0.13832965,0.03156977,0.035252918,0.0074078827,0.0015633218,0.049570166],"study_design_scores_gemma":[0.0015463209,0.000605155,0.81468034,0.000018284689,0.0032784208,0.0000015063184,0.027880661,0.11505905,0.009303496,0.00090024056,0.025366208,0.0013603478],"about_ca_topic_score_codex":0.004898277,"about_ca_topic_score_gemma":0.0018236979,"teacher_disagreement_score":0.11044899,"about_ca_system_score_codex":0.000116379444,"about_ca_system_score_gemma":0.00025520576,"threshold_uncertainty_score":0.9997992},"labels":[],"label_agreement":null},{"id":"W4293240042","doi":"10.1177/03611981221086640","title":"Investigating the Effects of COVID-19 Pandemic on the Perception of Residential Accessibility in Greater Toronto and Hamilton Area","year":2022,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Hudbay Minerals (Canada); University of Toronto","funders":"","keywords":"Pandemic; Residence; Coronavirus disease 2019 (COVID-19); Geography; Econometrics; Population; Estimation; Regression analysis; Transport engineering; Demographic economics; Statistics; Economics; Demography; Engineering; Mathematics; Sociology; Medicine","score_opus":0.13500426726961892,"score_gpt":0.42627331946803876,"score_spread":0.2912690521984198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293240042","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9939355,0.0002356936,0.00006969453,0.0038090611,0.00025678205,0.0015111943,0.000046022753,0.000010956771,0.00012507362],"genre_scores_gemma":[0.9987537,0.00067978137,0.00005904067,0.000097822,0.00007754684,0.000117881085,0.000007681897,0.00001776166,0.00018877977],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98836315,0.005405879,0.0013224746,0.0003727814,0.003982073,0.00055366504],"domain_scores_gemma":[0.9937238,0.003960708,0.0006490108,0.00045446889,0.00095911644,0.00025288487],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.016269285,0.00016770471,0.00038583067,0.0003372057,0.0016435516,0.000075773336,0.0013836153,0.00011655556,0.0006500006],"category_scores_gemma":[0.0010868562,0.00010013024,0.0002599685,0.0013114659,0.0021374768,0.0005620466,0.000015115184,0.0017971821,4.6991678e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008010044,0.00015516616,0.9307465,0.00031108715,0.000039688457,0.0000121169,0.062141784,0.00019972751,0.0032869875,0.0007856077,0.00038072164,0.0011396236],"study_design_scores_gemma":[0.0009091782,0.0004089962,0.9598549,0.00017067202,0.00003577286,1.094454e-7,0.031911816,0.000032753374,0.00032652094,0.0056106327,0.0006475665,0.00009106092],"about_ca_topic_score_codex":0.13433042,"about_ca_topic_score_gemma":0.43225884,"teacher_disagreement_score":0.29792842,"about_ca_system_score_codex":0.00065815944,"about_ca_system_score_gemma":0.0011705082,"threshold_uncertainty_score":0.9996562},"labels":[],"label_agreement":null},{"id":"W4293258916","doi":"10.1016/j.trd.2022.103434","title":"A bumpy ride: structural inequalities, quality standards, and institutional limitations affecting cycling infrastructure","year":2022,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Centro de Desarrollo Urbano Sustentable","keywords":"Cycling; Corporate governance; Normative; Distribution (mathematics); Quality (philosophy); Business; Inequality; Audit; Environmental economics; Transport engineering; Environmental planning; Risk analysis (engineering); Engineering; Economics; Geography; Political science; Finance; Accounting","score_opus":0.10691874084394333,"score_gpt":0.3845205297120706,"score_spread":0.2776017888681273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293258916","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947935,0.00052837934,0.0005811512,0.0009953177,0.00014390005,0.0006615209,0.0011147842,0.000071079325,0.0011103778],"genre_scores_gemma":[0.99725294,0.00090989604,0.00048026958,0.00006359488,0.00011648354,0.0001505398,0.00073945645,0.000017695798,0.00026909471],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9957614,0.0004527621,0.0005996099,0.00058468274,0.0020221348,0.0005794407],"domain_scores_gemma":[0.9990006,0.00030497264,0.00011295534,0.00018835542,0.000080612466,0.0003124876],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0034767292,0.00020318673,0.00028081564,0.00015920032,0.00408236,0.00006616131,0.00019037684,0.00009520191,0.0014595307],"category_scores_gemma":[0.00004174911,0.00021524426,0.000085208114,0.00032905865,0.0011369701,0.0004753712,0.0000137349625,0.0007162682,0.0000011726275],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019292303,0.00008094642,0.9364977,0.00012223824,0.00005304944,0.0000317725,0.035177235,0.0025833724,0.0001862568,0.017179629,0.000073110954,0.007821796],"study_design_scores_gemma":[0.00071523606,0.00007829121,0.9073841,0.00001858323,0.000034076864,5.5510407e-7,0.012860499,0.00004345322,0.0000248007,0.004174656,0.074410096,0.00025566423],"about_ca_topic_score_codex":0.0037279113,"about_ca_topic_score_gemma":0.008334891,"teacher_disagreement_score":0.07433699,"about_ca_system_score_codex":0.00030575253,"about_ca_system_score_gemma":0.00037338817,"threshold_uncertainty_score":0.99945325},"labels":[],"label_agreement":null},{"id":"W4293404319","doi":"10.36040/pawon.v6i2.3698","title":"KETERKAITAN KONSEP PERANCANGAN KOTA TERHADAP PENGEMBANGAN TRANSPORTASI HIJAU","year":2022,"lang":"id","type":"article","venue":"Pawon Jurnal Arsitektur","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Physics; Humanities; Art","score_opus":0.020784800878268457,"score_gpt":0.2630502599973619,"score_spread":0.24226545911909347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293404319","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95756453,0.0034047368,0.000031397507,0.0048959847,0.0028974526,0.0007630822,0.00046228303,0.00021097316,0.029769573],"genre_scores_gemma":[0.97338074,0.00021924185,0.00010283269,0.0011451659,0.0010614411,0.00006468589,0.00019908191,0.00008973358,0.023737047],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9929153,0.00094145816,0.0011655279,0.0012831239,0.0021385208,0.0015561142],"domain_scores_gemma":[0.9975255,0.00018245213,0.0005563991,0.0007460764,0.0001785099,0.0008110351],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001929979,0.0007074977,0.00089108804,0.00027586517,0.004144689,0.00033835473,0.0018162942,0.00024936194,0.015941065],"category_scores_gemma":[0.000040847273,0.00075132534,0.00093003176,0.0014143867,0.0006302338,0.00074720575,0.00015859253,0.0019885292,0.00013821195],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010001721,0.0027021177,0.8596265,0.00035806614,0.0005571118,0.0016527022,0.090296574,0.000084767926,0.0047394745,0.0018643347,0.01127971,0.025838474],"study_design_scores_gemma":[0.0017580487,0.00080415094,0.42954195,0.000098192635,0.0005933105,0.000035649886,0.020513732,0.00008303221,0.00053418224,0.00083385454,0.54364306,0.0015608423],"about_ca_topic_score_codex":0.001891878,"about_ca_topic_score_gemma":0.004008852,"teacher_disagreement_score":0.53236336,"about_ca_system_score_codex":0.0006531817,"about_ca_system_score_gemma":0.00071164354,"threshold_uncertainty_score":0.9994938},"labels":[],"label_agreement":null},{"id":"W4293432596","doi":"10.1016/j.jclepro.2022.133781","title":"Spatiotemporal heterogeneity in associations of national population ageing with socioeconomic and environmental factors at the global scale","year":2022,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Socioeconomic status; Geography; Normalized Difference Vegetation Index; Population; Ageing; Population ageing; Multivariate statistics; Scale (ratio); Demography; Environmental health; Ecology; Statistics; Medicine; Climate change; Cartography; Mathematics; Biology","score_opus":0.021298703404428465,"score_gpt":0.28111777035304414,"score_spread":0.2598190669486157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293432596","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987951,0.00005159351,0.0000049831474,0.00079754565,0.00015699834,0.000093691626,0.000029728242,0.0000023493624,0.000068037014],"genre_scores_gemma":[0.9997742,0.0000062371887,0.000023822391,0.000011483199,0.00011243889,0.0000011757168,0.000028120563,0.0000023593889,0.000040122315],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99908847,0.00014889168,0.00024879287,0.00008637775,0.00036066514,0.00006678705],"domain_scores_gemma":[0.99947935,0.00001968088,0.0004188411,0.00003673233,0.000025029205,0.000020382962],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093190523,0.000040189072,0.00009012731,0.000034734887,0.00039476578,0.000012294245,0.000061134975,0.000019979025,0.00006102396],"category_scores_gemma":[0.000021114443,0.000031073025,0.00003744404,0.00006713563,0.00010275241,0.00031683958,0.000015585656,0.000102605045,1.1461013e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031242274,0.000055015324,0.994284,0.0000017667995,0.0000106986345,3.114729e-7,0.0020194135,0.0030302098,0.00008690705,0.000012528514,0.000024996989,0.00044292206],"study_design_scores_gemma":[0.00013995005,0.00003119012,0.99636257,0.000001951471,0.000010103582,0.0000018747852,0.0025308272,0.000014722641,0.00018292645,0.00049164606,0.00019870962,0.000033541313],"about_ca_topic_score_codex":0.0010722395,"about_ca_topic_score_gemma":0.012094221,"teacher_disagreement_score":0.011021982,"about_ca_system_score_codex":0.0008714457,"about_ca_system_score_gemma":0.000058582733,"threshold_uncertainty_score":0.6748859},"labels":[],"label_agreement":null},{"id":"W4293706014","doi":"10.1016/j.healthplace.2022.102874","title":"Examining the state, quality and strength of the evidence in the research on built environments and physical activity among adults: An overview of reviews from high income countries","year":2022,"lang":"en","type":"review","venue":"Health & Place","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; Public Health Agency of Canada; Health Canada; University of Ottawa","funders":"","keywords":"Walkability; Observational study; Built environment; Certainty; Grey literature; Gerontology; Systematic review; Quality (philosophy); Psychology; Physical activity; Medicine; MEDLINE; Political science; Engineering; Physical therapy","score_opus":0.48831828905800123,"score_gpt":0.5296952652692438,"score_spread":0.04137697621124259,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293706014","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.46287596,0.53534317,1.8693544e-7,0.00022739772,0.00003281096,0.0013371103,0.0001699019,0.0000024134667,0.000011026428],"genre_scores_gemma":[0.21779528,0.78194743,0.0000042676197,0.000059977785,0.000045530574,0.00011305626,0.000008399794,0.000007727739,0.000018335299],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9824605,0.014787816,0.0007010283,0.000514052,0.0011989231,0.0003376707],"domain_scores_gemma":[0.989287,0.008843482,0.000972405,0.0007929194,0.000019633542,0.00008455186],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016701771,0.00021328441,0.0011875081,0.00004363442,0.00070999045,0.000047398917,0.00093152514,0.000088995184,0.000038003367],"category_scores_gemma":[0.0007240134,0.00010519419,0.00009122174,0.000581475,0.0012550814,0.00028244892,0.0001960994,0.0010758435,5.4030414e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013923216,0.00047370256,0.1244618,0.028382596,0.00003109993,0.0000017119921,0.0577925,9.905806e-7,1.3710599e-7,0.0003732704,0.000068675814,0.7882743],"study_design_scores_gemma":[0.00014261481,0.00018324726,0.7476992,0.018067962,0.00004975373,7.752892e-8,0.0025132839,0.0000029332796,3.8582547e-7,0.00022428077,0.23097259,0.00014369159],"about_ca_topic_score_codex":0.08361822,"about_ca_topic_score_gemma":0.030056356,"teacher_disagreement_score":0.7881306,"about_ca_system_score_codex":0.00026464518,"about_ca_system_score_gemma":0.00063728396,"threshold_uncertainty_score":0.9876426},"labels":[],"label_agreement":null},{"id":"W4293745078","doi":"10.1016/j.tra.2022.08.020","title":"Will COVID-19 be the end for the public transit? Investigating the impacts of public health crisis on transit mode choice","year":2022,"lang":"en","type":"article","venue":"Transportation Research Part A Policy and Practice","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":41,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Public transport; Mode choice; Multinomial logistic regression; Transit (satellite); Business; Transport engineering; Coronavirus disease 2019 (COVID-19); Engineering; Computer science; Medicine","score_opus":0.38281887303435885,"score_gpt":0.53301814480113,"score_spread":0.15019927176677111,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293745078","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08743088,0.0008261703,0.0017114357,0.90635663,0.0000792856,0.0020455036,0.00073492905,0.000045420897,0.0007697278],"genre_scores_gemma":[0.9752089,0.0008384763,0.000059023343,0.022790523,0.00029041103,0.00054684957,0.00009637616,0.000018761273,0.00015070855],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.99163854,0.0046654087,0.00057561713,0.0004053313,0.00180974,0.00090538454],"domain_scores_gemma":[0.97144485,0.026830437,0.00033269302,0.00044160822,0.00038376276,0.0005666383],"candidate_categories":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.02454647,0.0001618376,0.00022636485,0.00017575486,0.007805776,0.0002971763,0.00079936004,0.00007013764,0.00025306444],"category_scores_gemma":[0.009363267,0.00009813477,0.00014434908,0.0018834647,0.0014573894,0.001387422,0.000010092306,0.00093582826,6.740681e-7],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006143184,0.00065305165,0.010557487,0.00041058692,0.0003075282,0.0000051599122,0.52494335,0.0013074746,0.00009858731,0.43094856,0.019140681,0.011013228],"study_design_scores_gemma":[0.0006326151,0.00024971805,0.015224813,0.000007714743,0.000051144125,0.0000010518986,0.06548433,0.00015998555,0.000014909128,0.0040981104,0.91395354,0.00012209515],"about_ca_topic_score_codex":0.12168109,"about_ca_topic_score_gemma":0.11844587,"teacher_disagreement_score":0.8948128,"about_ca_system_score_codex":0.00021297495,"about_ca_system_score_gemma":0.004575512,"threshold_uncertainty_score":0.9989813},"labels":[],"label_agreement":null},{"id":"W4293764791","doi":"10.1061/9780784484340.022","title":"Sustainability, Scalability, and Resiliency of the Town of Innisfil Mobility-on-Demand Experiment: Preliminary Results, Analyses, and Lessons Learned","year":2022,"lang":"en","type":"article","venue":"International Conference on Transportation and Development 2022","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Public transport; Sustainability; Transport engineering; Transit (satellite); Subsidy; Environmental economics; Service (business); Business; Work (physics); General partnership; Computer science; Engineering; Economics; Marketing; Finance","score_opus":0.0884744650519165,"score_gpt":0.39307554119159116,"score_spread":0.3046010761396747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293764791","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9902081,0.00012049966,0.000048889106,0.00567271,0.00010434394,0.00038175785,0.0001694236,0.000013774996,0.0032804993],"genre_scores_gemma":[0.9989985,0.00011636207,0.00012323965,0.0000614777,0.000007603275,0.00005864452,0.00007188208,0.00000433319,0.0005579487],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980239,0.00020710903,0.00053127547,0.0004041949,0.0007009995,0.00013248953],"domain_scores_gemma":[0.99912983,0.00016652209,0.00022154352,0.00016479768,0.0002502192,0.00006706513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010421389,0.00011990601,0.00018773798,0.00011078977,0.00044766153,0.000029174978,0.0002553508,0.000047785234,0.00043357673],"category_scores_gemma":[0.0001302257,0.00010142799,0.000040564788,0.00021233143,0.00056436134,0.00013260831,0.000036123158,0.00018586178,1.0804986e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0046139336,0.001973162,0.6700717,0.0002712048,0.00017803846,0.000008775617,0.1276924,0.00027633866,0.0031431615,0.15884311,0.00024809255,0.032680064],"study_design_scores_gemma":[0.0008367414,0.00024323865,0.9617529,0.000036601665,0.000018602053,2.1716262e-7,0.021198224,0.00007338186,0.0028143679,0.010683225,0.0021883978,0.00015411025],"about_ca_topic_score_codex":0.00065387826,"about_ca_topic_score_gemma":0.00077705336,"teacher_disagreement_score":0.2916812,"about_ca_system_score_codex":0.000090520014,"about_ca_system_score_gemma":0.0004716711,"threshold_uncertainty_score":0.47473612},"labels":[],"label_agreement":null},{"id":"W4293805362","doi":"10.18061/dsq.v42i1.8276","title":"Disability and cycling technology: A socio-historical analysis","year":2022,"lang":"en","type":"article","venue":"Disability Studies Quarterly","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; York University","funders":"","keywords":"Typology; Construct (python library); Adaptation (eye); Cycling; Independence (probability theory); Sociology; Work (physics); Pleasure; Power (physics); Psychology; Computer science; Engineering; History","score_opus":0.032388198122814585,"score_gpt":0.33922939158828325,"score_spread":0.3068411934654687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293805362","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9807103,0.0015522777,0.000041500796,0.016345175,0.00031023318,0.0003692495,0.000040404957,0.00026161195,0.0003692316],"genre_scores_gemma":[0.99930406,0.000021602655,0.0001213245,0.00006797711,0.00011030762,0.00019855445,0.0000093574035,0.0000083776895,0.00015844857],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970884,0.00048235318,0.0005554179,0.0008119479,0.00057484023,0.00048704902],"domain_scores_gemma":[0.998627,0.00045647647,0.0001411025,0.00055130746,0.00009526777,0.00012882406],"candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0020504026,0.00020228028,0.00066626817,0.0000763181,0.0029860095,0.000044963806,0.0003977061,0.00009317464,0.00024383329],"category_scores_gemma":[0.0002695923,0.00019654435,0.00032793882,0.0019126858,0.0035866543,0.00022126659,0.000115321134,0.00038805752,0.0000027454628],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026600788,0.00054884737,0.95768124,0.000030561154,0.000352129,0.0000018454188,0.031423587,0.000003223799,0.0000043314167,0.0008104575,0.00011362592,0.009003541],"study_design_scores_gemma":[0.00024455835,0.00020802506,0.77395755,0.0000023123462,0.00051408296,1.6330854e-7,0.19549884,0.000022875953,0.0000011791252,0.02423288,0.0050175786,0.00029997926],"about_ca_topic_score_codex":0.004645064,"about_ca_topic_score_gemma":0.019416323,"teacher_disagreement_score":0.18372372,"about_ca_system_score_codex":0.002290761,"about_ca_system_score_gemma":0.00005952291,"threshold_uncertainty_score":0.999125},"labels":[],"label_agreement":null},{"id":"W4293872427","doi":"10.1177/03611981221119183","title":"How Will In-Person and Online Grocery Shopping and Meal Consumption Activities Evolve After COVID-19?","year":2022,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Grocery shopping; Grocery store; Advertising; Business; Order (exchange); License; Consumption (sociology); Psychology; Marketing; Computer science","score_opus":0.15845426732275678,"score_gpt":0.420640104368887,"score_spread":0.2621858370461302,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293872427","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98130673,0.0011619922,0.000214427,0.015945867,0.00025287995,0.00086264167,0.00018719962,0.000022905071,0.000045360222],"genre_scores_gemma":[0.9966076,0.001900141,0.00034226815,0.0001316793,0.00014545914,0.00010856145,0.000025956231,0.000027384156,0.0007109689],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99266726,0.0020411138,0.00069585006,0.0004669132,0.0033445074,0.00078434276],"domain_scores_gemma":[0.99708855,0.0011579082,0.00030441667,0.00022429755,0.00066059816,0.0005642074],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0060294317,0.00019861356,0.0003923096,0.0010349327,0.0015284892,0.00026303585,0.00057260063,0.00013456432,0.000428118],"category_scores_gemma":[0.00026100647,0.00017268758,0.00017646655,0.0013895046,0.0016133945,0.0015889575,0.000011276577,0.0022821994,4.6494623e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018314223,0.00020335297,0.9714773,0.00028249645,0.0000470642,0.00019406276,0.021114146,0.000101774465,0.00038416585,0.0007869499,0.00038850642,0.0031887363],"study_design_scores_gemma":[0.0014072213,0.00026036924,0.9364754,0.00010385457,0.000034147426,5.0683474e-7,0.048326384,0.000047592534,0.000023692292,0.0018230003,0.011320346,0.00017749392],"about_ca_topic_score_codex":0.023206593,"about_ca_topic_score_gemma":0.36023557,"teacher_disagreement_score":0.33702895,"about_ca_system_score_codex":0.0006001186,"about_ca_system_score_gemma":0.001098264,"threshold_uncertainty_score":0.99977136},"labels":[],"label_agreement":null},{"id":"W4294053486","doi":"10.1136/bmjopen-2022-062178","title":"Dynamic accessibility by car to tertiary care emergency services in Cali, Colombia, in 2020: cross-sectional equity analyses using travel time big data from a Google API","year":2022,"lang":"en","type":"article","venue":"BMJ Open","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bruyère; University of Ottawa","funders":"","keywords":"Medicine; Equity (law); Residence; Population; Emergency department; Health care; Cross-sectional study; Demography; Environmental health; Economic growth","score_opus":0.21085959168724588,"score_gpt":0.5092944398657318,"score_spread":0.29843484817848587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4294053486","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99005365,0.00030965375,0.00002614645,0.00017605389,0.00047892,0.0029392012,0.005146156,0.00002502411,0.0008451786],"genre_scores_gemma":[0.99664307,0.000004135652,0.00014116238,0.00016380344,0.00009469393,0.0002878233,0.0021504187,0.00001640091,0.0004984956],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99618936,0.00062936236,0.0008355269,0.0011372489,0.0007164379,0.0004920516],"domain_scores_gemma":[0.99852276,0.00007530531,0.00022276217,0.00092266354,0.000083247854,0.00017325977],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002491467,0.00019846395,0.00041657264,0.00010248218,0.00075991114,0.00036716662,0.0037328019,0.000118331365,0.005059821],"category_scores_gemma":[0.0000774717,0.000216904,0.00007725349,0.0012300398,0.000113011076,0.0012213833,0.0029392755,0.0003046998,0.000019428177],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000125221,0.00023929466,0.99038345,0.000046280526,0.000020812338,0.00001676315,0.0056602675,0.00028401017,0.0023770956,7.005029e-7,0.0002630781,0.00058303616],"study_design_scores_gemma":[0.00047145932,0.000015454743,0.9895596,0.000023323402,0.000020206278,1.8322577e-7,0.005478786,0.0034092348,0.00003198887,0.00049456843,0.00020073245,0.00029446726],"about_ca_topic_score_codex":0.44740847,"about_ca_topic_score_gemma":0.57474035,"teacher_disagreement_score":0.12733187,"about_ca_system_score_codex":0.0008355707,"about_ca_system_score_gemma":0.0008491587,"threshold_uncertainty_score":0.99584967},"labels":[],"label_agreement":null},{"id":"W4294218997","doi":"10.18280/ijsdp.170512","title":"Preference of Spatial Mobility and Reside in the Suburbs Indonesia","year":2022,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universitas Riau","keywords":"Likert scale; Preference; Variables; Geography; Value (mathematics); Socioeconomics; Variable (mathematics); Psychology; Statistics; Sociology; Mathematics","score_opus":0.030015684692045595,"score_gpt":0.2920725091439356,"score_spread":0.26205682445189005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4294218997","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99817944,0.00036752384,0.00010303019,0.00042766673,0.00009510524,0.00008728611,0.0000013613845,0.000001756165,0.00073682173],"genre_scores_gemma":[0.99966323,0.000015355068,0.00013489177,0.00004195792,0.00004826143,0.0000043689124,0.0000024089197,0.000001501526,0.00008799813],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989023,0.00012258501,0.00029807905,0.00007309642,0.0004887419,0.000115163195],"domain_scores_gemma":[0.9994156,0.00015220363,0.0001887611,0.00002880795,0.00018806485,0.000026611067],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021923657,0.000044976376,0.000094500305,0.0001367895,0.00021960936,0.000046028035,0.00027787598,0.000018399092,0.000034306733],"category_scores_gemma":[0.00009566438,0.00003541682,0.000015298045,0.000114357405,0.000078333425,0.00022361618,0.000057575813,0.0001748064,2.4822073e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015287522,0.00004614309,0.9315831,0.000013078375,0.000015123482,0.00024595557,0.064568385,0.00004993885,0.0000071866043,0.0014226858,0.000025302437,0.0018702365],"study_design_scores_gemma":[0.0002550706,0.000021449274,0.89209074,0.000019118577,0.0000034534112,0.0000048085417,0.102508426,0.000006804725,0.00004710942,0.0020056795,0.0029972398,0.000040123705],"about_ca_topic_score_codex":0.0011222124,"about_ca_topic_score_gemma":0.00017241652,"teacher_disagreement_score":0.039492365,"about_ca_system_score_codex":0.000090635,"about_ca_system_score_gemma":0.0003681193,"threshold_uncertainty_score":0.1696457},"labels":[],"label_agreement":null},{"id":"W4294266519","doi":"10.1155/2022/6928576","title":"Mixed Transport Network Prioritization Based on Environmental Impact and Population Density","year":2022,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Analytic hierarchy process; Taxis; Transport engineering; Sustainable transport; Public transport; Sustainable development; Prioritization; Population; Mode (computer interface); Transportation planning; Mode choice; Environmental planning; Business; Environmental economics; Computer science; Geography; Operations research; Engineering; Sustainability; Environmental health; Economics","score_opus":0.01000214716955677,"score_gpt":0.2643571976306152,"score_spread":0.25435505046105844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4294266519","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99672574,0.000118992,0.0023015842,0.0001501233,0.00039288195,0.00021329401,0.000040235383,0.000018134779,0.00003904117],"genre_scores_gemma":[0.99845177,0.00004231097,0.0010286986,0.000069471746,0.00015648169,0.000004309094,0.00021844739,0.000011704084,0.00001680629],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984566,0.0001209456,0.00044678233,0.00015818543,0.0006362266,0.00018124434],"domain_scores_gemma":[0.99931884,0.000057669044,0.0003975683,0.00007519959,0.000038871218,0.000111829424],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006439787,0.00010921844,0.0001983785,0.0000912365,0.0005777523,0.000013357003,0.000092818715,0.000045307952,0.0001743168],"category_scores_gemma":[0.000008809267,0.00010966961,0.00013740557,0.0002252361,0.000057258385,0.00050493865,8.602072e-7,0.00022569322,2.375008e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044713984,0.00010896723,0.7714675,0.00000680901,0.000010409896,0.000016815302,0.0015149843,0.22275291,0.00022513483,0.00010109473,0.0000097197735,0.0033384915],"study_design_scores_gemma":[0.0008152637,0.00025742533,0.9964355,0.000016460463,0.00005817853,7.551431e-7,0.0007024733,0.00015002482,0.00003348686,0.00095490407,0.00046352204,0.000111996764],"about_ca_topic_score_codex":0.00012746727,"about_ca_topic_score_gemma":0.0011572553,"teacher_disagreement_score":0.22496799,"about_ca_system_score_codex":0.00023008742,"about_ca_system_score_gemma":0.00009836029,"threshold_uncertainty_score":0.4472197},"labels":[],"label_agreement":null},{"id":"W4294384458","doi":"10.31219/osf.io/dx258","title":"North American Transportation During COVID-19: What Really Changed?","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Context (archaeology); Telecommuting; 2019-20 coronavirus outbreak; Public transport; Political science; Business; Economic growth; Geography; Economics; Engineering; Work (physics)","score_opus":0.039955320806678726,"score_gpt":0.3371421727879737,"score_spread":0.29718685198129496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4294384458","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9876281,0.00021236499,0.00027489138,0.005517266,0.00083015335,0.00077295577,0.00016147329,0.00047204844,0.00413073],"genre_scores_gemma":[0.9932588,0.0017401516,0.00021951504,0.0009860154,0.0003744916,0.00020332041,0.000931051,0.000026709118,0.0022599804],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972153,0.00021226057,0.0004462636,0.0008187068,0.00083874277,0.00046878486],"domain_scores_gemma":[0.9985229,0.00006979374,0.0003711278,0.0004743065,0.00007596154,0.00048595382],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006183457,0.00025763948,0.00040854554,0.00014835251,0.0011801663,0.0003025513,0.000763937,0.00011475231,0.0052265394],"category_scores_gemma":[0.00005574792,0.00027365715,0.00024460847,0.00058659015,0.00044462577,0.0005258697,0.0000617815,0.00064721634,0.000008461855],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006202506,0.000103699625,0.9551141,0.00023660986,0.00004434373,0.0000507314,0.040931292,0.00042107032,0.0000030393905,0.00030833462,0.0001929547,0.0025317636],"study_design_scores_gemma":[0.00016287218,0.000019326033,0.95987296,0.000015034105,0.0000597324,5.0197407e-8,0.01714067,0.0000047423773,0.000008950839,0.00060901465,0.021703731,0.0004028965],"about_ca_topic_score_codex":0.11100288,"about_ca_topic_score_gemma":0.7282189,"teacher_disagreement_score":0.61721605,"about_ca_system_score_codex":0.0005783811,"about_ca_system_score_gemma":0.0011389953,"threshold_uncertainty_score":0.99997157},"labels":[],"label_agreement":null},{"id":"W4294690515","doi":"10.1155/2022/7703504","title":"The Sense of Travel Deprivation and Its Impact on Travel Decision: A Case Study of China’s Rapidly Urbanizing Region","year":2022,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Public transport; Equity (law); Urbanization; China; Travel behavior; Business; Travel time; Geography; Private transport; Social equality; Economic growth; Transport engineering; Economics; Political science; Engineering","score_opus":0.023875613543358407,"score_gpt":0.32648523393357504,"score_spread":0.3026096203902166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4294690515","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99821794,0.00038093628,0.00065584085,0.000111781,0.00019570616,0.0003928869,0.000013207549,0.000004338008,0.000027361106],"genre_scores_gemma":[0.9996373,0.00013376177,0.0001464969,0.000007547232,0.000046653826,0.00000457822,0.0000028014297,0.000009338102,0.000011487039],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99803746,0.0001762198,0.0008101162,0.00014610279,0.00069039286,0.00013969718],"domain_scores_gemma":[0.9982936,0.00028531902,0.0009721775,0.00011695476,0.00025637777,0.00007558292],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011083246,0.000110375004,0.00028194443,0.00013607851,0.00056371896,0.000014500951,0.00013134173,0.000035541838,0.000013677486],"category_scores_gemma":[0.00007079255,0.00007968131,0.00013728937,0.00042922812,0.00006518885,0.00042377345,0.0000023115517,0.00024952003,3.302482e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.009848295,0.0030325912,0.33447114,0.000110701294,0.00032511735,0.002483752,0.4928836,0.06398733,0.011085959,0.0016814646,0.000035924168,0.080054134],"study_design_scores_gemma":[0.0016678345,0.0012169174,0.91138846,0.000037312562,0.00008886872,0.000050444676,0.08418724,0.00004017714,0.00047511622,0.0007522712,0.000015590855,0.00007979866],"about_ca_topic_score_codex":0.0005377227,"about_ca_topic_score_gemma":0.0018594777,"teacher_disagreement_score":0.5769173,"about_ca_system_score_codex":0.00007734842,"about_ca_system_score_gemma":0.00014047541,"threshold_uncertainty_score":0.43357277},"labels":[],"label_agreement":null},{"id":"W4295038183","doi":"10.1155/2022/6458371","title":"Exploring Transit Use during COVID-19 Based on XGB and SHAP Using Smart Card Data","year":2022,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Korea Railroad Research Institute","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Transit (satellite); Computer science; Econometrics; Public transport; Transport engineering; Medicine; Economics; Engineering","score_opus":0.21107311093998013,"score_gpt":0.3585136814860491,"score_spread":0.147440570546069,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4295038183","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951764,0.00015306103,0.0034067212,0.00045475643,0.00046333796,0.00017078589,0.00013486753,0.000025045858,0.000015057594],"genre_scores_gemma":[0.99694353,0.00009415004,0.002595448,0.00014379898,0.00012887218,0.0000051558454,0.00006171244,0.000014569537,0.000012779239],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982598,0.00012762434,0.00046783025,0.0002292487,0.00068104,0.00023449541],"domain_scores_gemma":[0.99903375,0.00013920348,0.00030611953,0.00019168912,0.00007028732,0.00025895215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009148634,0.00011445708,0.00022080108,0.0001721519,0.0008900351,0.000045188644,0.00026322872,0.000028182845,0.0000682435],"category_scores_gemma":[0.00008316449,0.0001206802,0.00008394562,0.00032718113,0.00007847167,0.002899939,0.0000039900324,0.00029374304,1.1497394e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011330495,0.00020208154,0.6354356,0.00012063064,0.000038350005,0.00015352159,0.026263557,0.3322245,0.00304974,0.00013075731,0.00000938981,0.0012388759],"study_design_scores_gemma":[0.001855738,0.000117181284,0.9797598,0.000056743367,0.00014115806,0.000002880772,0.010404053,0.00038727265,0.00022703073,0.0001133104,0.006699211,0.00023560198],"about_ca_topic_score_codex":0.0005258996,"about_ca_topic_score_gemma":0.0011254956,"teacher_disagreement_score":0.34432426,"about_ca_system_score_codex":0.00023198285,"about_ca_system_score_gemma":0.00030336797,"threshold_uncertainty_score":0.6845521},"labels":[],"label_agreement":null},{"id":"W4295309686","doi":"10.1155/2022/9636217","title":"Development of a Public Transport Accessibility Index for Older Commuters: A Time-Based Approach","year":2022,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"TRIPS architecture; Public transport; Index (typography); Transport engineering; Recreation; Travel time; Travel behavior; Geography; Population; Business; Computer science; Engineering; Environmental health; Medicine","score_opus":0.03520205543190647,"score_gpt":0.31192664004281556,"score_spread":0.2767245846109091,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4295309686","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87641513,0.00010295235,0.12230312,0.00020149382,0.0001807011,0.0005723466,0.00006360847,0.000023102808,0.00013756809],"genre_scores_gemma":[0.9540985,0.0000035021078,0.045488644,0.00005293088,0.000048434522,0.00007336622,0.000180039,0.000015815314,0.000038733495],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99728036,0.00012848641,0.0011917182,0.00022869486,0.00088450476,0.00028621414],"domain_scores_gemma":[0.9981106,0.00010947654,0.0009876426,0.00016380455,0.00048298473,0.0001454963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023675375,0.00014650439,0.0004074456,0.00021592772,0.00055505516,0.000018549448,0.0005098116,0.00006743507,0.00021182765],"category_scores_gemma":[0.000027518241,0.00014419726,0.00029394543,0.00061832805,0.0001497052,0.00083577476,0.0000024644153,0.00026221937,1.6329328e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026731319,0.0044291606,0.7645992,0.0007470866,0.0002701075,0.000014183612,0.11351418,0.03024606,0.004425191,0.0006398784,0.00005950255,0.07838229],"study_design_scores_gemma":[0.0033640112,0.00014135333,0.9758027,0.000039317783,0.00009364092,3.5935344e-7,0.010101828,0.00013113634,0.0009346223,0.0006201021,0.008529472,0.00024142936],"about_ca_topic_score_codex":0.000027745582,"about_ca_topic_score_gemma":0.0004211917,"teacher_disagreement_score":0.2112035,"about_ca_system_score_codex":0.00021493819,"about_ca_system_score_gemma":0.0012606876,"threshold_uncertainty_score":0.5880194},"labels":[],"label_agreement":null},{"id":"W4295394791","doi":"10.1016/j.jtrangeo.2022.103441","title":"The effect of location on physical activity: Implications for active travel","year":2022,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Purdue University","keywords":"Rurality; Built environment; Geography; Physical activity; Structural equation modeling; Transport engineering; Rural area; Geographic information system; Travel behavior; Regional science; Economic geography; Business; Statistics; Civil engineering; Engineering; Mathematics; Cartography; Medicine","score_opus":0.01505349578645544,"score_gpt":0.3146841604774259,"score_spread":0.2996306646909705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4295394791","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99591017,0.000063516025,0.0010405389,0.001837668,0.0002116034,0.0004314669,0.00008184489,0.000007157386,0.000416008],"genre_scores_gemma":[0.99970335,0.000021383707,0.000019261513,0.000016244345,0.00015077273,0.000056328947,0.0000055138025,0.00000715489,0.000019985795],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99893993,0.00013667312,0.0002367776,0.00011499321,0.0003969801,0.00017466159],"domain_scores_gemma":[0.9986736,0.00054447603,0.00040090506,0.00013978704,0.00017351836,0.00006771981],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010668525,0.00008651296,0.00023378104,0.00011714177,0.0009087425,0.000011182296,0.00035782807,0.000029579205,0.000011180831],"category_scores_gemma":[0.000024300101,0.000059878534,0.00052220817,0.0005522839,0.00023512846,0.00016768351,0.000003031235,0.00024712528,1.0430256e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004566492,0.001022276,0.89176744,0.00006548367,0.00033537883,0.0000017894943,0.0059076594,0.0004257537,0.0020133357,0.0028139316,0.00018056466,0.09089991],"study_design_scores_gemma":[0.0005433929,0.00096230215,0.9903709,0.0000093163335,0.00015846195,3.673276e-7,0.00046710117,0.0000051485035,0.0024957133,0.001843401,0.0030780258,0.00006583984],"about_ca_topic_score_codex":0.00011348885,"about_ca_topic_score_gemma":0.00012409885,"teacher_disagreement_score":0.0986035,"about_ca_system_score_codex":0.00004270038,"about_ca_system_score_gemma":0.00013270568,"threshold_uncertainty_score":0.6989404},"labels":[],"label_agreement":null},{"id":"W4295792350","doi":"10.1155/2022/8288248","title":"Understanding the Modifiable Areal Unit Problem and Identifying Appropriate Spatial Units while Studying the Influence of the Built Environment on the Traffic System State","year":2022,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Spatial analysis; Statistics; Variance (accounting); Unit (ring theory); Regression analysis; Built environment; Computer science; Data mining; Mathematics; Engineering; Civil engineering","score_opus":0.07678595471661924,"score_gpt":0.2686185586594728,"score_spread":0.19183260394285356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4295792350","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996485,0.000109523055,0.001637306,0.0007919679,0.00018640235,0.0006808355,0.000026346035,0.000009431592,0.000073166084],"genre_scores_gemma":[0.9997605,0.000070270784,0.00003376729,0.000031937114,0.000037409016,0.00002311326,0.0000024226154,0.000009683563,0.00003086587],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9978145,0.00039763967,0.00054108555,0.00013889225,0.0009179026,0.00018998428],"domain_scores_gemma":[0.99862075,0.0002747322,0.0007980808,0.00017896973,0.00008923969,0.00003825532],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0019416882,0.00011156091,0.0001636228,0.000041431158,0.001958964,0.000060157075,0.0004884806,0.000022652846,0.00001368336],"category_scores_gemma":[0.000018843339,0.00005386368,0.0000762226,0.00042553357,0.00027967035,0.0003347162,0.000010902892,0.0004449098,1.454744e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013058745,0.000043957978,0.01546024,0.00004241582,0.000041146588,0.0000031266368,0.056196973,0.92517823,0.00051242404,0.0018119507,0.000002069568,0.0005768707],"study_design_scores_gemma":[0.001259028,0.00024748803,0.6741889,0.00034773024,0.00027180053,0.0000029388086,0.31443122,0.0009682344,0.0003108837,0.0073036985,0.0004494996,0.0002185494],"about_ca_topic_score_codex":0.0005311397,"about_ca_topic_score_gemma":0.0016167976,"teacher_disagreement_score":0.92421,"about_ca_system_score_codex":0.00019681409,"about_ca_system_score_gemma":0.000150107,"threshold_uncertainty_score":0.99934036},"labels":[],"label_agreement":null},{"id":"W4295858045","doi":"10.2139/ssrn.4200501","title":"Fairness in Accessibility of Public Service Facilities","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Business; Public service; Service (business); Public administration; Public relations; Transport engineering; Process management; Marketing; Engineering; Political science","score_opus":0.02968246579337985,"score_gpt":0.2946071547392886,"score_spread":0.26492468894590876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4295858045","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9918594,0.0012124049,0.0003042046,0.002127477,0.0001967459,0.00014719008,0.000015098491,0.000025865285,0.004111638],"genre_scores_gemma":[0.99820393,0.00019544442,0.000008259466,0.000056313256,0.000076813514,0.000014658502,0.0000049271102,0.0000069860394,0.0014326873],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9962758,0.00062327564,0.0004506559,0.00022647806,0.00066933944,0.0017544741],"domain_scores_gemma":[0.99929667,0.00007426925,0.00020772371,0.00018348894,0.00015323513,0.00008463415],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008332359,0.00010039849,0.00021918523,0.00015550652,0.00071809895,0.000058475143,0.0008753056,0.00005003834,0.0010053008],"category_scores_gemma":[0.00010887505,0.00009986895,0.00010313427,0.000980836,0.00015608098,0.00066548976,0.00007899432,0.0015936522,0.0000024048418],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048384558,0.0002469996,0.9012436,0.00002113339,0.000026968848,0.0000022821582,0.008484208,0.000026804082,0.00004050241,0.08058478,0.00001037882,0.009263917],"study_design_scores_gemma":[0.0008102214,0.00011842109,0.21707769,0.0000072170415,0.00001390535,0.0000062388212,0.1723334,0.00002474704,0.00003126027,0.6015749,0.0077579464,0.00024402546],"about_ca_topic_score_codex":0.0099842725,"about_ca_topic_score_gemma":0.19623272,"teacher_disagreement_score":0.68416595,"about_ca_system_score_codex":0.0016568094,"about_ca_system_score_gemma":0.0062368605,"threshold_uncertainty_score":0.9999079},"labels":[],"label_agreement":null},{"id":"W4295867958","doi":"10.2139/ssrn.4213520","title":"How is Active School Travel Framed in Ontario, Canada?","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University; Polytechnique Montréal; University of Alberta","funders":"","keywords":"Geography; Political science; Transport engineering; Engineering","score_opus":0.010034779681580813,"score_gpt":0.23786950514403774,"score_spread":0.22783472546245692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4295867958","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9861634,0.0004732082,0.00007218534,0.008248211,0.0003007886,0.00015230132,0.000010099306,0.000007838988,0.0045719924],"genre_scores_gemma":[0.98147076,0.00007542018,0.00000769548,0.0004084819,0.000125031,0.000011761726,0.00000412049,0.000008455435,0.01788828],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969367,0.00016459143,0.00017783808,0.0002036842,0.0006867345,0.0018304532],"domain_scores_gemma":[0.9995517,0.000030176807,0.00011614987,0.000102837126,0.0000452997,0.00015384161],"candidate_categories":["research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011840732,0.00010230863,0.00016224371,0.00007407436,0.00092316134,0.000084138206,0.0004618979,0.000047364727,0.0020938278],"category_scores_gemma":[0.000046049016,0.000104473256,0.000077569974,0.00030114193,0.000057657817,0.00031920415,0.000021331543,0.0038103708,0.0000011347105],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.0001792829,0.00017541557,0.95983046,0.000002280705,0.00011733746,0.00004846268,0.014891798,0.000014235407,0.00007024633,0.014660953,0.0017233163,0.008286202],"study_design_scores_gemma":[0.0010968249,0.00015723963,0.60094035,0.0000070715714,0.00003165549,0.0000147518895,0.1796598,0.000006109145,0.00007680453,0.15741436,0.060218193,0.00037682935],"about_ca_topic_score_codex":0.99369174,"about_ca_topic_score_gemma":0.9999541,"teacher_disagreement_score":0.35889012,"about_ca_system_score_codex":0.015112618,"about_ca_system_score_gemma":0.054329153,"threshold_uncertainty_score":0.9988184},"labels":[],"label_agreement":null},{"id":"W4296007541","doi":"10.32396/usurj.v8i1.548","title":"Pedal Past the Pumps","year":2022,"lang":"en","type":"article","venue":"USURJ University of Saskatchewan Undergraduate Research Journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Cycling; Recreation; Gasoline; Regression analysis; Price elasticity of demand; Linear regression; Econometrics; Lag; Demographic economics; Economics; Environmental science; Transport engineering; Statistics; Engineering; Mathematics; Geography; Computer science; Waste management; Microeconomics; Ecology","score_opus":0.04899792750394131,"score_gpt":0.3158194702075498,"score_spread":0.26682154270360847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296007541","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9246558,0.00019734367,0.00031184065,0.05529196,0.00026167172,0.00027014068,0.00002877066,0.00003420297,0.018948292],"genre_scores_gemma":[0.9870551,0.00016523729,0.00012059955,0.00003169054,0.00020936683,3.415976e-7,0.0000038103904,0.0000082189445,0.012405607],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99480385,0.0019584338,0.0001926346,0.00022042052,0.002183623,0.0006410176],"domain_scores_gemma":[0.9984706,0.00038563358,0.00015869511,0.00025479303,0.0004480942,0.00028219094],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0069337236,0.00009165546,0.0001726001,0.00022716935,0.008208951,0.00010920447,0.0015085032,0.000049314018,0.0014424174],"category_scores_gemma":[0.000060007045,0.0000834104,0.00020625418,0.0010060854,0.001651082,0.00034616192,0.00028640506,0.0015780869,0.000016302372],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010463068,0.001279139,0.4957967,0.00006406069,0.00044759753,0.0010201375,0.40388042,0.00040369233,0.0008705926,0.012110594,0.048365977,0.034714777],"study_design_scores_gemma":[0.00081782613,0.00018683026,0.028581722,0.000015661675,0.00003316176,0.000015184937,0.70436805,0.00003092334,0.00003283156,0.036451697,0.2292811,0.00018500588],"about_ca_topic_score_codex":0.01792931,"about_ca_topic_score_gemma":0.021948433,"teacher_disagreement_score":0.467215,"about_ca_system_score_codex":0.00047368387,"about_ca_system_score_gemma":0.001937125,"threshold_uncertainty_score":0.9994704},"labels":[],"label_agreement":null},{"id":"W4296144034","doi":"10.1016/j.tranpol.2022.09.005","title":"What do we know about pedal assist E-bikes? A scoping review to inform future directions","year":2022,"lang":"en","type":"review","venue":"Transport Policy","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ontario Institute of Technology","funders":"","keywords":"Popularity; Subsidy; Transport engineering; Business; Renting; Identification (biology); Risk analysis (engineering); Environmental economics; Engineering; Psychology; Economics","score_opus":0.07030725938204713,"score_gpt":0.4289875017407859,"score_spread":0.3586802423587388,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296144034","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000030121303,0.9743797,0.000007788583,0.00465767,0.002114984,0.004102909,0.00030336578,0.00035153521,0.014079042],"genre_scores_gemma":[0.000003517911,0.9870585,0.000049311067,0.00078463054,0.003771151,0.0011949214,0.00040850282,0.00009275536,0.006636695],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99482155,0.00027107022,0.0016780411,0.000983911,0.0011635849,0.0010818371],"domain_scores_gemma":[0.99748003,0.00015092245,0.0005952236,0.0009473718,0.00011261955,0.0007138126],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013950807,0.0007788329,0.002675881,0.0005634776,0.0018257931,0.00030004373,0.0014291444,0.0004819458,0.00879616],"category_scores_gemma":[0.000076210716,0.0007059467,0.0017130967,0.0046489,0.00027154677,0.001195301,0.000047882568,0.0011077106,0.00020330184],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003607771,0.00007626258,0.00009388644,0.06734775,0.00006929262,0.000017329328,0.003151517,9.082518e-8,2.6681162e-9,0.0012566168,0.000523507,0.92746013],"study_design_scores_gemma":[0.00006761017,0.000020817432,0.00010782764,0.22607023,0.0007091505,0.0000023352486,0.00035871234,6.599739e-9,1.7457054e-8,0.000041475465,0.77204263,0.0005792026],"about_ca_topic_score_codex":0.0034428884,"about_ca_topic_score_gemma":0.020282703,"teacher_disagreement_score":0.92688096,"about_ca_system_score_codex":0.00077670504,"about_ca_system_score_gemma":0.0058228215,"threshold_uncertainty_score":0.99981326},"labels":[],"label_agreement":null},{"id":"W4296200366","doi":"10.1016/j.trip.2022.100685","title":"The future of telecommuting post COVID-19 pandemic","year":2022,"lang":"en","type":"article","venue":"Transportation Research Interdisciplinary Perspectives","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Telecommuting; Preference; Work (physics); Coronavirus disease 2019 (COVID-19); Pandemic; Demographic economics; Ordered logit; Mixed logit; Logit; Geography; Logistic regression; Duration (music); Demography; Econometrics; Economics; Statistics; Medicine; Mathematics; Sociology; Engineering","score_opus":0.07353992933662677,"score_gpt":0.4547847744263765,"score_spread":0.3812448450897497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296200366","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97004664,0.0024131304,0.00010177224,0.021025945,0.0002337056,0.0005785248,0.00015238202,0.00009520786,0.0053526806],"genre_scores_gemma":[0.99809563,0.00023945261,0.000044966968,0.000039121678,0.00021571168,0.00013146501,0.000050294453,0.00001371597,0.0011696519],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9964988,0.0010226183,0.00038931397,0.00037178452,0.0012158578,0.0005016174],"domain_scores_gemma":[0.99803495,0.0008538294,0.00013472978,0.0003061951,0.00045587373,0.0002144374],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0046972344,0.00010938684,0.00016590225,0.00019618587,0.007509611,0.00006199367,0.00092202437,0.000053640822,0.0017589356],"category_scores_gemma":[0.000114252995,0.00008863529,0.00017029452,0.0010073058,0.0014986357,0.00026414837,0.00008663499,0.0008535073,0.0000040660434],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007525394,0.00033011023,0.37623036,0.000051564086,0.00006004171,0.000024546172,0.56961644,0.0001466097,0.0004079728,0.046968807,0.0013404632,0.004070563],"study_design_scores_gemma":[0.00024008956,0.0001650956,0.24185564,0.0000054606357,0.000008097479,3.9986375e-7,0.72420734,0.000012003195,0.000010333378,0.011218842,0.02218161,0.00009506627],"about_ca_topic_score_codex":0.0024543996,"about_ca_topic_score_gemma":0.052741975,"teacher_disagreement_score":0.15459093,"about_ca_system_score_codex":0.0006325123,"about_ca_system_score_gemma":0.00091793895,"threshold_uncertainty_score":0.9991536},"labels":[],"label_agreement":null},{"id":"W4296271032","doi":"10.16997/ats.1222","title":"Active Travel in Rural New Zealand: A Study of Rural Adolescents’ Perceptions of Walking and Cycling to School","year":2022,"lang":"en","type":"article","venue":"Active Travel Studies","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"University of Otago","keywords":"Cycling; Rural area; Perception; Physical activity; Population; Psychology; Gerontology; Medicine; Demography; Geography; Environmental health; Physical therapy; Sociology","score_opus":0.03548756880516884,"score_gpt":0.34144879980838017,"score_spread":0.3059612310032113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296271032","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983819,0.00014702241,0.000011996993,0.0002196691,0.0001075512,0.0007917353,0.00003774317,0.00001220552,0.00029014403],"genre_scores_gemma":[0.9994896,0.00007231424,0.000029534327,0.000028288043,0.00006376277,0.000057854235,0.0000022139168,0.000008893764,0.00024754502],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99849266,0.0002208216,0.00036116972,0.00021995803,0.00042260325,0.00028276767],"domain_scores_gemma":[0.9994027,0.00012272222,0.00015268885,0.00011518673,0.00010026236,0.0001064216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037127823,0.0001484229,0.00045973036,0.00016627842,0.00050620694,0.000011566719,0.00020816388,0.00003119802,0.00007675953],"category_scores_gemma":[0.00011464125,0.00014207035,0.0000685907,0.00050523283,0.00019944426,0.00022993618,0.000113688424,0.00026527623,6.3316645e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023565619,0.0004200755,0.64614487,0.000012732872,0.000089380366,0.0000013902619,0.34600773,0.000009455688,0.0014059909,0.00001521601,0.000025693464,0.0056318073],"study_design_scores_gemma":[0.0006101871,0.00014937443,0.53444284,0.000040229952,0.000032902146,8.051741e-8,0.46434593,8.042321e-7,0.00010149326,0.00019724824,0.000003350199,0.00007557355],"about_ca_topic_score_codex":0.025735335,"about_ca_topic_score_gemma":0.024516884,"teacher_disagreement_score":0.11833819,"about_ca_system_score_codex":0.00022161774,"about_ca_system_score_gemma":0.000122060344,"threshold_uncertainty_score":0.99328315},"labels":[],"label_agreement":null},{"id":"W4296482402","doi":"10.1177/03611981221122784","title":"Examination of the Temporal Stability of Daily and Monthly Adjustment Factors of Bicycle Traffic","year":2022,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transferability; Traffic count; Environmental science; Road traffic; Term (time); Statistics; Geography; Transport engineering; Traffic congestion; Engineering; Mathematics","score_opus":0.10420889237258527,"score_gpt":0.3789697946929909,"score_spread":0.2747609023204056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296482402","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99671483,0.00034560543,0.000028964565,0.00093815697,0.00033060974,0.0011464426,0.00031597307,0.000008627161,0.00017078212],"genre_scores_gemma":[0.999422,0.00017284283,0.00015458456,0.000005439271,0.000042284202,0.00003247295,0.000017754826,0.000019336214,0.00013330014],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9893681,0.00314069,0.0016574635,0.00031456514,0.0050247987,0.00049438985],"domain_scores_gemma":[0.9948477,0.0010504954,0.001034789,0.00044214845,0.0024238224,0.00020103187],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009650203,0.00016435671,0.0004948684,0.00052576995,0.0009007783,0.000024876197,0.0012304345,0.00011163097,0.00053481513],"category_scores_gemma":[0.0002458318,0.000114662194,0.0004138732,0.0024172943,0.0020963715,0.0005048274,0.000015596945,0.0012624052,1.9505632e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006565244,0.0005868055,0.95722616,0.00030758407,0.00007621167,0.0000030132999,0.033556774,0.0008095761,0.0027838473,0.0006891838,0.00012569295,0.0031786277],"study_design_scores_gemma":[0.0007941349,0.00048547657,0.9614321,0.0000954054,0.000056075205,2.2778732e-8,0.031454712,0.00004850436,0.0041165003,0.00079299056,0.0006321948,0.00009187209],"about_ca_topic_score_codex":0.03623639,"about_ca_topic_score_gemma":0.10509438,"teacher_disagreement_score":0.06885799,"about_ca_system_score_codex":0.00024390712,"about_ca_system_score_gemma":0.0011234602,"threshold_uncertainty_score":0.9701814},"labels":[],"label_agreement":null},{"id":"W4296745893","doi":"10.3390/su141911852","title":"Uncovering Inequalities in Food Accessibility between Koreans and Japanese in 1930s Colonial Seoul Using GIS and Open-Source Transport Analytics Tools","year":2022,"lang":"en","type":"article","venue":"Sustainability","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Schulich School of Medicine and Dentistry","keywords":"Colonialism; Analytics; Inequality; Geography; Public transport; Geographic information system; Transit system; Regional science; Transit (satellite); Political science; Cartography; Engineering; Data science; Transport engineering; Computer science","score_opus":0.055279565374641314,"score_gpt":0.3412540797066535,"score_spread":0.2859745143320122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296745893","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99704546,0.00012974573,0.000047632253,0.0006574935,0.000065901775,0.0014359747,0.00017416652,0.000049715523,0.00039393484],"genre_scores_gemma":[0.9995729,0.0000060861794,0.00008574397,0.000045902587,0.00005953412,0.00006700513,0.000029639807,0.00001734891,0.00011586024],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9961271,0.0010529484,0.0007974442,0.0008417376,0.00049957936,0.0006811744],"domain_scores_gemma":[0.9985003,0.00056134217,0.00016856848,0.00040818102,0.00017292764,0.00018869941],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0064424574,0.0002429776,0.0006444072,0.00018268706,0.00089869887,0.00024291142,0.0006407341,0.00014520643,0.000094529794],"category_scores_gemma":[0.00083915563,0.00026949652,0.000071676084,0.0011654573,0.0008385559,0.0013140881,0.00044080307,0.000627119,5.6086776e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015511496,0.00018297521,0.9426308,0.00022977023,0.000011726931,0.000018540804,0.054448683,0.0004362325,0.0000037114285,0.00040085035,9.384787e-7,0.001480626],"study_design_scores_gemma":[0.0008400464,0.00010800754,0.91924083,0.0000137612615,0.000025555248,3.8843714e-7,0.050399363,0.0001014738,0.0000090638205,0.028445687,0.0005218867,0.0002939298],"about_ca_topic_score_codex":0.12792821,"about_ca_topic_score_gemma":0.12865283,"teacher_disagreement_score":0.028044837,"about_ca_system_score_codex":0.0020059724,"about_ca_system_score_gemma":0.0012882667,"threshold_uncertainty_score":0.99997574},"labels":[],"label_agreement":null},{"id":"W4296748102","doi":"10.1061/jtepbs.0000766","title":"Subway Station Accessibility and Its Impacts on the Spatial and Temporal Variations of Its Outbound Ridership","year":2022,"lang":"en","type":"article","venue":"Journal of Transportation Engineering Part A Systems","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Education and Child Care","funders":"","keywords":"Transport engineering; Recreation; Computer science; Regression analysis; Geography; Engineering","score_opus":0.0377094518768889,"score_gpt":0.28148854219324865,"score_spread":0.24377909031635975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296748102","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99619156,0.0006903375,0.0015294958,0.00046434056,0.000618313,0.00032332868,0.00012986743,0.00001484541,0.00003791829],"genre_scores_gemma":[0.9997053,0.000044639008,0.000020025851,0.000009402477,0.00014108277,0.000013651183,0.000016157019,0.0000086951695,0.00004101019],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99837655,0.00015911661,0.0006420386,0.00012269487,0.00055477995,0.00014482714],"domain_scores_gemma":[0.99886155,0.00025080558,0.0005121129,0.00007694978,0.0001958959,0.00010268508],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019961589,0.00009935766,0.00022453103,0.0001119834,0.00031037818,0.00006438246,0.00013671798,0.00004274947,0.00005963855],"category_scores_gemma":[0.00012093503,0.00007978435,0.00006350336,0.00023818699,0.000036781228,0.00041205078,0.0000026699859,0.00021692447,1.8629878e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033119353,0.0002925404,0.89397293,0.00085372647,0.00022089278,0.000016660173,0.054245513,0.030422438,0.0021293913,0.017058887,0.00019030363,0.00026551817],"study_design_scores_gemma":[0.0006085243,0.00022114531,0.98784745,0.00013201506,0.00010016371,0.0000017525388,0.0035472065,0.0044711875,0.0002887745,0.00010248399,0.0025170422,0.00016226235],"about_ca_topic_score_codex":0.00049795315,"about_ca_topic_score_gemma":0.0006261255,"teacher_disagreement_score":0.09387451,"about_ca_system_score_codex":0.00006953974,"about_ca_system_score_gemma":0.00016001656,"threshold_uncertainty_score":0.32535115},"labels":[],"label_agreement":null},{"id":"W4296783822","doi":"10.1177/03611981221122777","title":"Bumpy Rides: An Extensive Accelerometer-Based Cycling Infrastructure Survey","year":2022,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Cycling; Transport engineering; Ride quality; Resource (disambiguation); Key (lock); Accelerometer; Engineering; Computer science; Geography; Automotive engineering; Computer security; Computer network","score_opus":0.16348488431633396,"score_gpt":0.4429258166666627,"score_spread":0.27944093235032874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296783822","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99431497,0.00016363992,0.0006973924,0.00204293,0.0009987162,0.0012142706,0.00035078262,0.00005284237,0.0001644731],"genre_scores_gemma":[0.99758077,0.00019540467,0.0010175073,0.00014737766,0.00030261526,0.00010219636,0.00012775988,0.00006417232,0.00046222363],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9813273,0.0074357516,0.0016628964,0.00067031785,0.007553755,0.001350012],"domain_scores_gemma":[0.990172,0.0021505498,0.00072854315,0.00071489473,0.00550907,0.0007249136],"candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.017561093,0.00030071932,0.0005900908,0.0012804124,0.0042848038,0.0003188879,0.0027766712,0.00021129988,0.003116069],"category_scores_gemma":[0.0005591059,0.00025302073,0.00051405997,0.0046513444,0.0014838331,0.0013382115,0.000014136443,0.004151772,0.0000077541445],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019368873,0.00043830182,0.97484666,0.00007586572,0.00008425905,0.00012170215,0.009252233,0.0050699506,0.0011707913,0.0004954728,0.002700767,0.0038071184],"study_design_scores_gemma":[0.0012821583,0.0006730554,0.9701711,0.00007916822,0.000042510084,1.1628998e-7,0.011464147,0.0000975602,0.0003894519,0.0031035186,0.012436646,0.0002605495],"about_ca_topic_score_codex":0.09529447,"about_ca_topic_score_gemma":0.3471381,"teacher_disagreement_score":0.25184363,"about_ca_system_score_codex":0.0007001324,"about_ca_system_score_gemma":0.0028557507,"threshold_uncertainty_score":0.9999922},"labels":[],"label_agreement":null},{"id":"W4296784869","doi":"10.1155/2022/9401386","title":"Car Purchase Intention Modeling in the Context of COVID-19: An Integrated Analysis of Impact Range and Impact Asymmetry","year":2022,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Coronavirus disease 2019 (COVID-19); Context (archaeology); Business; Car ownership; Pandemic; Marketing; Psychology; Advertising; Transport engineering; Public transport; Engineering; Medicine; Geography","score_opus":0.03599056248735574,"score_gpt":0.3677732450538708,"score_spread":0.3317826825665151,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296784869","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99210227,0.00044444468,0.006882915,0.00014839943,0.000052811673,0.00017717296,0.00017939023,0.0000043920863,0.000008194274],"genre_scores_gemma":[0.9995327,0.000104112325,0.00017377807,0.000045712237,0.000012337415,0.0000035819157,0.00012153144,0.0000049216655,0.0000013298339],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982157,0.00028993207,0.00073993794,0.00011980618,0.0005059486,0.00012871438],"domain_scores_gemma":[0.99875087,0.00009931932,0.0006531276,0.00010079158,0.00026050222,0.00013540527],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002054706,0.000092438735,0.00038049894,0.0005322426,0.00014585511,0.000013102571,0.00020442644,0.000039316445,0.00015783035],"category_scores_gemma":[0.00013542632,0.00006560604,0.00031961437,0.0015994909,0.000107780426,0.0006784843,0.0000014064865,0.0002481169,1.21887345e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011289506,0.00027054024,0.5931342,0.000026952563,0.00023641517,0.000015182401,0.07724659,0.32061252,0.0014301561,0.000095345255,0.0000013552749,0.005801738],"study_design_scores_gemma":[0.0014363654,0.0005053976,0.82490736,0.000019806013,0.00070207927,9.205718e-7,0.16490763,0.0066072857,0.00005350328,0.0007283996,0.000030136864,0.00010111705],"about_ca_topic_score_codex":0.009494114,"about_ca_topic_score_gemma":0.0134921335,"teacher_disagreement_score":0.31400523,"about_ca_system_score_codex":0.00021187085,"about_ca_system_score_gemma":0.00040606043,"threshold_uncertainty_score":0.9971017},"labels":[],"label_agreement":null},{"id":"W4296822576","doi":"10.32920/14639181.v2","title":"The freedom to explore: examining the influence of independent mobility on weekday, weekend and after-school physical activity behaviour in children living in urban and inner-suburban neighbourhoods of varying socioeconomic status","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University; University of Toronto; Dalhousie University","funders":"Canadian Institutes of Health Research; Heart and Stroke Foundation of Canada","keywords":"Socioeconomic status; Neighbourhood (mathematics); Residence; Physical activity; Demography; Walkability; Psychology; Geography; Gerontology; Medicine; Physical therapy; Sociology; Population; Mathematics","score_opus":0.021798331181499656,"score_gpt":0.29412729867644966,"score_spread":0.27232896749495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296822576","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997346,0.00013284621,0.0000031578986,0.00012698663,0.00009938502,0.0019049029,0.00007357892,0.000023653063,0.00028950407],"genre_scores_gemma":[0.9993849,0.000055438308,0.000019063822,0.00002164945,0.00007528655,0.00039032154,0.0000036068136,0.00002110052,0.000028679131],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9963963,0.0009039057,0.00066961214,0.00093617523,0.0005573231,0.00053665455],"domain_scores_gemma":[0.9975617,0.0010337266,0.00042903685,0.0007369165,0.000050218994,0.00018839579],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0030825373,0.00034287391,0.00066371035,0.00016793617,0.00037590598,0.00015310902,0.0007771158,0.00018682065,0.000105537634],"category_scores_gemma":[0.00028936975,0.00026024343,0.00010104995,0.0002698722,0.0006680624,0.00034361257,0.0011945367,0.0014666094,4.3535488e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012342836,0.0006921301,0.9517109,0.000030503605,0.000032379423,0.0000016696936,0.04440726,0.0013377055,0.000037916136,0.00004085174,0.0000016913823,0.0015836118],"study_design_scores_gemma":[0.00031868982,0.000160305,0.9879108,0.000094432835,0.000036704852,8.330947e-8,0.010668586,0.000101490936,0.000029459545,0.000423437,0.000001898304,0.00025409335],"about_ca_topic_score_codex":0.08519277,"about_ca_topic_score_gemma":0.036115263,"teacher_disagreement_score":0.049077503,"about_ca_system_score_codex":0.00041206655,"about_ca_system_score_gemma":0.00044896393,"threshold_uncertainty_score":0.999985},"labels":[],"label_agreement":null},{"id":"W4296904712","doi":"10.1016/j.cities.2022.103980","title":"A TOD index integrating development potential, economic vibrancy, and socio-economic factors for encouraging polycentric cities","year":2022,"lang":"en","type":"article","venue":"Cities","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Index (typography); Economic geography; Business; Regional science; Economic growth; Environmental planning; Geography; Economics; Computer science","score_opus":0.018452130267891866,"score_gpt":0.25852821845385415,"score_spread":0.2400760881859623,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296904712","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957784,0.00052141456,0.00038664107,0.00028412585,0.0008098474,0.00028658702,0.00008043657,0.00008212662,0.0017704456],"genre_scores_gemma":[0.9983952,0.000027728793,0.00017545509,0.00006506284,0.00017644107,0.00008893997,0.000032916403,0.000014796851,0.0010234615],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9988735,0.000057183377,0.00030235478,0.00027877546,0.00012761372,0.00036059238],"domain_scores_gemma":[0.9995532,0.00013924767,0.00013152986,0.00008528202,0.000014934259,0.00007577776],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00040879656,0.00014259397,0.00021312588,0.00011601434,0.002024884,0.00018114013,0.00023842929,0.00003372378,0.00080101955],"category_scores_gemma":[0.000015856276,0.00015093919,0.00008635389,0.000045927063,0.00025646074,0.00037968712,0.000073757146,0.00012796975,0.0000022379502],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035998237,0.000017930462,0.9213865,0.000043415715,0.000052078914,0.0000019241293,0.06979953,0.00010694145,0.000023205987,0.0039380663,0.00038307896,0.0042113527],"study_design_scores_gemma":[0.0010476215,0.000082375984,0.24531306,0.000032933793,0.000053280157,0.0000014891771,0.71142,0.000728753,0.00065709534,0.0118741505,0.027920548,0.00086868374],"about_ca_topic_score_codex":0.003146189,"about_ca_topic_score_gemma":0.0021073984,"teacher_disagreement_score":0.67607343,"about_ca_system_score_codex":0.00055543944,"about_ca_system_score_gemma":0.0006187281,"threshold_uncertainty_score":0.9992744},"labels":[],"label_agreement":null},{"id":"W4296954354","doi":"10.1186/s12966-022-01359-0","title":"The neighbourhood built environment and health-related fitness: a narrative systematic review","year":2022,"lang":"en","type":"review","venue":"International Journal of Behavioral Nutrition and Physical Activity","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Canadian Institutes of Health Research","keywords":"Neighbourhood (mathematics); Cardiorespiratory fitness; Built environment; CINAHL; Physical fitness; Gerontology; Psychology; Medicine; Psychological intervention; Physical therapy; Ecology; Nursing","score_opus":0.09431936114201113,"score_gpt":0.422182787572783,"score_spread":0.3278634264307719,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296954354","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00466704,0.9916038,0.000005042009,0.0023246484,0.00029098135,0.001005298,0.00006533531,0.000007888616,0.00002999255],"genre_scores_gemma":[0.048502088,0.9510961,0.000005704171,0.00003921784,0.0001863224,0.00009312143,0.000016989281,0.000009480021,0.000050936298],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99736196,0.0008449671,0.0006631728,0.00019107242,0.0007881281,0.0001507136],"domain_scores_gemma":[0.99786055,0.0003456742,0.0014543951,0.00010452805,0.0000867199,0.00014812572],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010882423,0.00019321355,0.0012057078,0.000059380367,0.0005297515,0.00012968216,0.0003875621,0.000067585366,0.00012719147],"category_scores_gemma":[0.00004066159,0.00012514937,0.0004322663,0.00011531186,0.0002646698,0.00032356096,0.000062939886,0.0006195174,0.0000013329606],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003545181,0.0027042786,0.000053445186,0.10624443,0.0003772197,0.000051690342,0.0040101944,6.2530376e-8,5.453574e-7,0.0005619693,0.0002852735,0.88567543],"study_design_scores_gemma":[0.0012700612,0.0006508364,0.0007203205,0.32993478,0.003428144,0.0001499853,0.002906819,0.000006103399,9.801967e-7,0.0031860215,0.6570157,0.00073027896],"about_ca_topic_score_codex":0.0003357768,"about_ca_topic_score_gemma":0.00006505047,"teacher_disagreement_score":0.88494515,"about_ca_system_score_codex":0.0003609614,"about_ca_system_score_gemma":0.0002239261,"threshold_uncertainty_score":0.51034427},"labels":[],"label_agreement":null},{"id":"W4297024478","doi":"10.1016/b978-0-323-99770-6.00029-6","title":"Comparing mobility, behavior, and public transit’s pandemic adaptation in New Zealand and U.S. cities","year":2022,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Public transport; Pandemic; Transit (satellite); Coronavirus disease 2019 (COVID-19); Geography; Transport engineering; Adaptation (eye); Rail transit; Economic geography; Business; Demographic economics; Engineering; Economics; Psychology; Medicine","score_opus":0.06760718609363854,"score_gpt":0.28506060249840093,"score_spread":0.2174534164047624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297024478","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33304495,0.0023295302,0.00000141613,0.00018182518,0.00017440584,0.00079480483,0.000025207464,0.0000785972,0.66336924],"genre_scores_gemma":[0.53133047,0.00044498066,0.000027726714,0.000043389788,0.00009250633,0.000029404235,0.000030999217,0.00002143171,0.4679791],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983018,0.00007600168,0.000423263,0.0004970898,0.00039482952,0.00030698918],"domain_scores_gemma":[0.99935836,0.000077010816,0.00013972315,0.00018787074,0.000034921424,0.00020212567],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006421088,0.00025000927,0.0004699597,0.00016703118,0.0003329944,0.00014674578,0.00020038,0.00023214215,0.000441337],"category_scores_gemma":[0.000010477533,0.0002690119,0.000079300946,0.000027928681,0.00048188667,0.00022932795,0.00005904494,0.0005288485,0.0000012914434],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014539649,0.000013289415,0.46115574,0.00003987605,0.00001335976,0.000009321565,0.011847287,4.2281832e-7,0.0000011763577,0.0031879132,0.000012649471,0.5237044],"study_design_scores_gemma":[0.0006909372,0.000043866636,0.18622679,0.00011386952,0.00013292149,0.0000021811672,0.0012247001,0.00000873727,3.7208522e-7,0.022037057,0.7890175,0.0005010653],"about_ca_topic_score_codex":0.0013211234,"about_ca_topic_score_gemma":0.13360101,"teacher_disagreement_score":0.78900486,"about_ca_system_score_codex":0.00014454006,"about_ca_system_score_gemma":0.00043540925,"threshold_uncertainty_score":0.9999762},"labels":[],"label_agreement":null},{"id":"W4297136955","doi":"10.20868/ciur.2022.142.4885","title":"Genealogía de la ciudad de 15 minutos: aproximación a los conceptos","year":2022,"lang":"es","type":"article","venue":"Cuadernos de Investigación Urbanística","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Persona; Art","score_opus":0.021749922662063163,"score_gpt":0.30448273211957505,"score_spread":0.2827328094575119,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297136955","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9480512,0.0050349743,0.0016102578,0.004597107,0.0008037237,0.001280664,0.00077633356,0.0005734089,0.037272308],"genre_scores_gemma":[0.9863146,0.00019350013,0.0027490049,0.0045603435,0.0011706289,0.00047430507,0.000083992956,0.00013591895,0.004317719],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99036795,0.0032749271,0.0010950518,0.0014151348,0.0014282215,0.0024187434],"domain_scores_gemma":[0.9951213,0.001529069,0.00053421705,0.0010273014,0.00015819349,0.0016299181],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.0037793082,0.00078181986,0.0009104324,0.0002784194,0.0023985456,0.0006682085,0.002252154,0.0007703392,0.006415554],"category_scores_gemma":[0.001738316,0.00091449654,0.00053976104,0.0014148881,0.005060471,0.00045040713,0.00044220357,0.0022857871,0.00018080445],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019530636,0.0011967655,0.8912583,0.0005248783,0.00026938962,0.0007804655,0.027696008,0.00033719672,0.006398645,0.031217897,0.037279706,0.0028454333],"study_design_scores_gemma":[0.003831411,0.00067910965,0.31770357,0.0003993111,0.0014911816,0.00015935552,0.012515655,0.008541199,0.0064925128,0.098030716,0.54695755,0.0031984274],"about_ca_topic_score_codex":0.0031795437,"about_ca_topic_score_gemma":0.00015546293,"teacher_disagreement_score":0.57355475,"about_ca_system_score_codex":0.0019442792,"about_ca_system_score_gemma":0.0051170685,"threshold_uncertainty_score":0.9993306},"labels":[],"label_agreement":null},{"id":"W4297142332","doi":"10.1136/bmjgh-2022-010333","title":"A perspective on urban health systems and research for equitable healthcare in Africa","year":2022,"lang":"en","type":"article","venue":"BMJ Global Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Public Health Ontario; Women's College Hospital; University of Toronto","funders":"","keywords":"Perspective (graphical); Health care; Healthcare system; Health services research; Health equity; Public health; Medicine; Political science; Economic growth; Nursing; Computer science; Economics","score_opus":0.18265622598203266,"score_gpt":0.5249591485054218,"score_spread":0.3423029225233891,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297142332","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31580165,0.077285096,0.00019640858,0.51735926,0.0027309842,0.023233086,0.0031092472,0.00035759178,0.059926685],"genre_scores_gemma":[0.9971817,0.00012627829,0.00007760019,0.0010016571,0.00025847382,0.00057587447,0.000016679282,0.000009728844,0.0007520198],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.9947147,0.0017734193,0.0004538049,0.00058028864,0.0009849179,0.0014928918],"domain_scores_gemma":[0.99870276,0.00023537817,0.00015711585,0.00024224864,0.00019182934,0.00047065757],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.01245532,0.000114025504,0.00036858604,0.00012628786,0.0030512882,0.00007807519,0.00030568652,0.0000560067,0.000020465459],"category_scores_gemma":[0.00016419525,0.00011900035,0.000048230948,0.0012271537,0.00018068371,0.00011822075,0.0000897344,0.00039837585,0.0000028499605],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005498947,0.0004940611,0.09751791,0.0005782968,0.000008923521,0.000009479378,0.077488035,0.000051297036,1.480464e-7,0.73120403,0.086786665,0.0053112297],"study_design_scores_gemma":[0.002060348,0.004463262,0.1027698,0.00029005663,0.0000033078677,0.0000030494493,0.42520452,0.00039374785,2.0094635e-7,0.056617856,0.40778127,0.0004125835],"about_ca_topic_score_codex":0.29007518,"about_ca_topic_score_gemma":0.078260385,"teacher_disagreement_score":0.68138003,"about_ca_system_score_codex":0.0094228145,"about_ca_system_score_gemma":0.005622939,"threshold_uncertainty_score":0.9982466},"labels":[],"label_agreement":null},{"id":"W4297205436","doi":"10.32920/19750216.v1","title":"Travel time modelling in transit oriented neighbourhoods of Toronto, Montreal and Vancouver: Application of geographic information systems for transportation (GIS-T)","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"TRIPS architecture; Transit (satellite); Transport engineering; Geography; Descriptive statistics; Public transport; Travel behavior; Travel time; Geographic information system; Cartography; Statistics; Engineering; Mathematics","score_opus":0.010054719141459873,"score_gpt":0.2510743457015774,"score_spread":0.24101962656011752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297205436","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5734224,0.00087887153,0.41671857,0.000018224588,0.00026584283,0.0029346882,0.0008837205,0.00004926754,0.004828436],"genre_scores_gemma":[0.99763113,0.00036393074,0.0006811343,0.0000042977163,0.000027333455,0.0002904184,0.0009213173,0.000009180593,0.00007124272],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980977,0.00006332193,0.00097616226,0.000270613,0.00040792534,0.00018423534],"domain_scores_gemma":[0.99894464,0.00006426731,0.0005370097,0.00019151332,0.00020481387,0.000057763827],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008418858,0.00016212506,0.00046301563,0.0001132852,0.00010666158,0.000020593025,0.0001990191,0.000247195,0.00010668878],"category_scores_gemma":[0.0000058349274,0.00017215742,0.0001459945,0.00015315515,0.00010117444,0.0005879783,0.000007174315,0.00014883399,6.843807e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013202211,0.00087925955,0.44599542,0.006749148,0.0002737412,5.207665e-7,0.13508187,0.35660362,0.00023084308,0.023714688,0.00007728003,0.029073382],"study_design_scores_gemma":[0.0019928967,0.0001302519,0.3898274,0.0001741748,0.0002893843,3.1823348e-8,0.015754564,0.5873552,0.0000850756,0.0029075402,0.0009404569,0.0005430392],"about_ca_topic_score_codex":0.41275686,"about_ca_topic_score_gemma":0.2595613,"teacher_disagreement_score":0.42420876,"about_ca_system_score_codex":0.00011582861,"about_ca_system_score_gemma":0.00016857448,"threshold_uncertainty_score":0.75394976},"labels":[],"label_agreement":null},{"id":"W4297521463","doi":"10.3390/ijerph191912345","title":"Children’s Access to Non-School Destinations by Active or Independent Travel: A Scoping Review","year":2022,"lang":"en","type":"review","venue":"International Journal of Environmental Research and Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; McMaster University","funders":"","keywords":"Destinations; Recreation; PsycINFO; Psychology; Qualitative research; Tourism; Geography; Medical education; Public relations; Medicine; MEDLINE; Sociology; Political science; Social science","score_opus":0.22583118226449117,"score_gpt":0.5249977612035243,"score_spread":0.2991665789390331,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297521463","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00036395504,0.9903377,0.00007949034,0.0055875303,0.00027396518,0.002153672,0.0005594518,0.0000053112853,0.00063886476],"genre_scores_gemma":[0.0015143317,0.99656135,0.000046258603,0.00075230957,0.0004629501,0.0001316588,0.00016907284,0.000022185455,0.0003398934],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9939399,0.0010826981,0.0010791717,0.00037455905,0.0029335232,0.0005901677],"domain_scores_gemma":[0.99707687,0.0006365406,0.0007276936,0.00015481353,0.00011928298,0.0012848027],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0059620216,0.00020141386,0.00081062166,0.00058610144,0.00067944906,0.0004340498,0.0018008343,0.000097046985,0.0058617387],"category_scores_gemma":[0.0010981497,0.00015958377,0.00020199601,0.00049528223,0.00025825732,0.00092098105,0.00036501957,0.0013134477,0.00001351692],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023154798,0.0005427758,0.0013414973,0.0020966677,0.00016552521,0.00002525392,0.00040672917,4.3261583e-8,9.985942e-8,0.000015088902,0.004475125,0.990908],"study_design_scores_gemma":[0.00030072886,0.00038354984,0.0068241204,0.034200408,0.000034579592,0.00004803893,0.00060675066,1.0438115e-7,2.1956957e-7,0.000053603213,0.9573355,0.0002124046],"about_ca_topic_score_codex":0.0008445202,"about_ca_topic_score_gemma":0.000745165,"teacher_disagreement_score":0.99069566,"about_ca_system_score_codex":0.002736844,"about_ca_system_score_gemma":0.0066995258,"threshold_uncertainty_score":0.9989316},"labels":[],"label_agreement":null},{"id":"W4297999673","doi":"10.1155/2022/7772401","title":"Exploring the Spatially Heterogeneous Effects of the Built Environment on Bike-Sharing Usage during the COVID-19 Pandemic","year":2022,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Transport engineering; Coronavirus disease 2019 (COVID-19); TRIPS architecture; Multilevel model; Geographically Weighted Regression; Built environment; Public transport; Bike sharing; Pandemic; Social distance; Computer science; Business; Geography; Econometrics; Statistics; Engineering; Mathematics; Civil engineering","score_opus":0.05115478041421573,"score_gpt":0.29246323189206413,"score_spread":0.2413084514778484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297999673","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976047,0.00022843103,0.00035480055,0.0007479916,0.00063459686,0.00038948646,0.000009873214,0.000011890177,0.00001817684],"genre_scores_gemma":[0.99926597,0.0002986772,0.00003867825,0.00018057525,0.00012032708,0.000038568185,0.0000018018459,0.000010962452,0.00004444983],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99813354,0.00020986359,0.00048046393,0.00015328944,0.0008344254,0.00018843077],"domain_scores_gemma":[0.9987648,0.00031073968,0.00059342093,0.00022820475,0.000028561626,0.0000742612],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008880523,0.00010696162,0.00016271444,0.00004711179,0.0011926786,0.000019231224,0.0006248485,0.000020527985,0.0000605043],"category_scores_gemma":[0.000069234484,0.000060243885,0.00021643659,0.00022225938,0.00016014247,0.00029499125,0.0000113562455,0.00038901193,3.5344067e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030478262,0.00012755152,0.40864784,0.00008455239,0.00005271788,0.00003397829,0.035779923,0.5398525,0.012295036,0.000094313575,0.0000015998762,0.0027252277],"study_design_scores_gemma":[0.0007655595,0.00014732484,0.98797745,0.00004071007,0.000089319925,0.0000036362776,0.0022579334,0.000008159419,0.0050280276,0.00084745826,0.0027312348,0.0001032111],"about_ca_topic_score_codex":0.0003115003,"about_ca_topic_score_gemma":0.0017026402,"teacher_disagreement_score":0.5793296,"about_ca_system_score_codex":0.00027658895,"about_ca_system_score_gemma":0.00011073319,"threshold_uncertainty_score":0.91732395},"labels":[],"label_agreement":null},{"id":"W4298124456","doi":"10.32920/ryerson.14667990.v2","title":"A Spatial Understanding of Well-Being in the City of Toronto","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Social capital; Context (archaeology); Variety (cybernetics); Well-being; Relation (database); Spatial contextual awareness; Human capital; Field (mathematics); Regional science; Geography; Sociology; Economic geography; Psychology; Economics; Social science; Economic growth; Computer science","score_opus":0.06349747074565054,"score_gpt":0.33150945491495354,"score_spread":0.268011984169303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4298124456","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49404487,0.000094857736,0.0014964791,0.00024453728,0.00026667523,0.0003000056,0.0000073715482,0.000012440482,0.50353277],"genre_scores_gemma":[0.9995053,0.00005503332,0.00007371023,0.000026760774,0.00006590681,0.000010483433,0.000007849802,0.000003543399,0.00025140704],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99854386,0.0002373423,0.00034541302,0.00020773847,0.0005156309,0.0001500159],"domain_scores_gemma":[0.99934626,0.00015609701,0.00019345862,0.0002595944,0.000023352359,0.000021229038],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0017842771,0.00008352652,0.00023647911,0.000022788516,0.00013971773,0.000020418045,0.0006409069,0.000104300394,0.007224923],"category_scores_gemma":[0.000037425525,0.00006393316,0.00013039823,0.00009040518,0.00021044204,0.00008254321,0.0001540472,0.00025664293,1.5879249e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021435504,0.00010687538,0.8793466,0.00009883368,0.000014898603,0.0000018644864,0.0646003,0.000014342965,0.000008026027,0.055535857,0.000040634302,0.00021034229],"study_design_scores_gemma":[0.0003309177,0.000044494056,0.6311002,0.00011457456,0.000065702065,3.3005332e-8,0.1321192,0.00007854071,0.0001312672,0.23405322,0.0016589682,0.0003029171],"about_ca_topic_score_codex":0.5521629,"about_ca_topic_score_gemma":0.6551082,"teacher_disagreement_score":0.50546044,"about_ca_system_score_codex":0.00040584538,"about_ca_system_score_gemma":0.00025789632,"threshold_uncertainty_score":0.9936826},"labels":[],"label_agreement":null},{"id":"W4298144034","doi":"","title":"Environnement urbain et obésité : peut-on transposer en Europe les approches nord-américaines ?","year":2011,"lang":"fr","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.04235812082904398,"score_gpt":0.2601393663777225,"score_spread":0.21778124554867853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4298144034","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.60657096,0.0038354797,0.018821016,0.02783661,0.0004123664,0.0005905826,0.00008307865,0.0002317163,0.34161818],"genre_scores_gemma":[0.91724235,0.0012662946,0.009957863,0.00030269232,0.000066565444,0.000041284322,0.00010791239,0.000050359664,0.070964664],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9889153,0.008374004,0.0006234848,0.0008570053,0.00060866243,0.0006215378],"domain_scores_gemma":[0.9961269,0.0012973011,0.00033109792,0.0011915244,0.00073686166,0.00031631562],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006938978,0.00040519712,0.00037649513,0.00011898948,0.000924736,0.000184012,0.0013943751,0.00027732112,0.0019758902],"category_scores_gemma":[0.0005290172,0.00040939703,0.00026363123,0.00079994113,0.0011372743,0.00046762833,0.00014263009,0.0005312122,0.00020728324],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054720844,0.0033126283,0.13204797,0.00018470337,0.00010750747,0.000017382128,0.18752684,0.0000070785827,0.00080908276,0.57132924,0.00066655286,0.103936285],"study_design_scores_gemma":[0.0012444296,0.0000068756713,0.57670313,0.0013911023,0.0002365755,0.0000025016454,0.0023177639,0.00064779044,0.020998327,0.00596258,0.38927457,0.0012143421],"about_ca_topic_score_codex":0.008661344,"about_ca_topic_score_gemma":0.019323578,"teacher_disagreement_score":0.5653667,"about_ca_system_score_codex":0.00010161265,"about_ca_system_score_gemma":0.00021613773,"threshold_uncertainty_score":0.9998358},"labels":[],"label_agreement":null},{"id":"W4298147458","doi":"10.21203/rs.3.rs-2096658/v1","title":"A Framework for Transportation and Land Use Integration as a Parallel Constrained Multiple Discrete-continuous Extreme Value (PC-MDCEV) Home Production Model","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Production (economics); Computer science; Measure (data warehouse); Function (biology); Discrete choice; Value (mathematics); Land use; Operations research; Econometrics; Economics; Microeconomics; Mathematics; Data mining; Engineering","score_opus":0.13981331632749877,"score_gpt":0.4170696372037268,"score_spread":0.27725632087622804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4298147458","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93358386,0.00037144893,0.05712677,0.0020639962,0.00036741327,0.0049446602,0.001180202,0.0001721353,0.00018950537],"genre_scores_gemma":[0.9828121,0.0003634629,0.0118159205,0.000018385159,0.0003728331,0.00151484,0.0018230584,0.000041540996,0.0012378452],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9959207,0.0005776071,0.00049203646,0.0010724023,0.0012834935,0.00065376254],"domain_scores_gemma":[0.99776125,0.0007798444,0.0001970664,0.0004717478,0.00056937494,0.0002207253],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0028915186,0.00027770936,0.00042911852,0.0003371262,0.0012581372,0.00047976454,0.00038312734,0.0004765008,0.00013025962],"category_scores_gemma":[0.002080093,0.00026827946,0.00021467546,0.0004999506,0.0006348785,0.00056483387,0.00006516977,0.0014660702,0.0000016057838],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0034366339,0.0009974719,0.763385,0.002567494,0.00024181718,0.000040727038,0.11438258,0.015257742,0.00048701963,0.082458,0.000675922,0.016069615],"study_design_scores_gemma":[0.0021760873,0.0005684124,0.3116142,0.0014777952,0.00021412483,7.8360557e-7,0.02683126,0.04746761,0.0001254238,0.60506,0.0030029868,0.0014613484],"about_ca_topic_score_codex":0.009376659,"about_ca_topic_score_gemma":0.017383816,"teacher_disagreement_score":0.52260196,"about_ca_system_score_codex":0.00029220543,"about_ca_system_score_gemma":0.0009216983,"threshold_uncertainty_score":0.99997693},"labels":[],"label_agreement":null},{"id":"W4298393035","doi":"10.1400/228412","title":"1 ARE BICYCLES GOOD FOR PARIS?","year":2014,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministère des Transports","funders":"","keywords":"Computer science","score_opus":0.05362910918100045,"score_gpt":0.34762176574965686,"score_spread":0.2939926565686564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4298393035","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77380097,0.00044402003,0.014734507,0.0052505247,0.0022378024,0.0016240932,0.00015954045,0.00056048314,0.20118809],"genre_scores_gemma":[0.9899634,0.000027819715,0.0013190438,0.00027042642,0.00093329995,0.00009362601,0.00003959773,0.000012833448,0.007339943],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987664,0.00005944143,0.00023362164,0.00042099334,0.00023026526,0.00028927223],"domain_scores_gemma":[0.9990689,0.0001241522,0.00026088013,0.0003254897,0.000110528716,0.00011003953],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006782534,0.0001439522,0.0002877413,0.000034521785,0.0003042119,0.00014575405,0.0004831596,0.00037131528,0.00055975496],"category_scores_gemma":[0.000099478224,0.00012362335,0.0002296708,0.000051073337,0.00017597497,0.00006638667,0.000078554556,0.00020650122,0.000026272965],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013670263,0.0001088371,0.9616692,0.0002776824,0.00004457005,9.3228186e-7,0.0014937358,0.000016628299,0.0000035893286,0.011094764,0.021886514,0.0033898752],"study_design_scores_gemma":[0.0002617592,0.000012281032,0.41184065,0.00010163834,0.00009142197,1.2853352e-8,0.0014863864,0.00008975751,0.00013194326,0.123539425,0.4619052,0.000539526],"about_ca_topic_score_codex":0.00366135,"about_ca_topic_score_gemma":0.018260617,"teacher_disagreement_score":0.5498285,"about_ca_system_score_codex":0.000044816985,"about_ca_system_score_gemma":0.00014564976,"threshold_uncertainty_score":0.9996536},"labels":[],"label_agreement":null},{"id":"W4298619175","doi":"10.1016/j.tranpol.2022.09.024","title":"The built environment, networks design, and safety features: An analysis of pedestrian commuting behavior in intermediate-sized cities","year":2022,"lang":"en","type":"article","venue":"Transport Policy","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Pedestrian; Transport engineering; Built environment; Engineering; Computer science; Business; Civil engineering","score_opus":0.026899781388788714,"score_gpt":0.30823920069158584,"score_spread":0.2813394193027971,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4298619175","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976865,0.0003922265,0.0005995646,0.00039445283,0.000047556583,0.00042752226,0.000090302405,0.000029975492,0.0003318825],"genre_scores_gemma":[0.9989398,0.00053093396,0.000057650028,0.00006736214,0.000069147616,0.00007041879,0.00011106518,0.000011013731,0.00014262168],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980726,0.00044058578,0.00048305793,0.00025270323,0.00033192962,0.00041911917],"domain_scores_gemma":[0.9991376,0.00025720472,0.00016959805,0.00029968855,0.000012588686,0.00012333144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018542658,0.0001359174,0.0003362814,0.00022220347,0.0010069768,0.000030364732,0.0004958751,0.00007053649,0.0002172758],"category_scores_gemma":[0.000015738184,0.000117471456,0.00014596643,0.00085125427,0.0006620611,0.0001616469,0.000026434254,0.00031614042,1.1667e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021377907,0.00011382046,0.9754039,0.0000048667985,0.0000678482,0.000007770981,0.016567692,0.0031996765,0.00001551902,0.00045486444,0.0000034102038,0.0039468626],"study_design_scores_gemma":[0.00040302114,0.00005331013,0.99068487,0.0000033787003,0.00032326535,1.2689051e-7,0.007041479,0.00032143158,0.000006775913,0.0001917582,0.00084483,0.00012573387],"about_ca_topic_score_codex":0.057382762,"about_ca_topic_score_gemma":0.09838391,"teacher_disagreement_score":0.041001145,"about_ca_system_score_codex":0.00014370264,"about_ca_system_score_gemma":0.00019578045,"threshold_uncertainty_score":0.9488942},"labels":[],"label_agreement":null},{"id":"W4300433223","doi":"","title":"Les trajets à pied comme temps et objets de socialisation chez les collégiens français","year":2018,"lang":"fr","type":"other","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Humanities; Art","score_opus":0.038557001189277205,"score_gpt":0.2847052857434042,"score_spread":0.246148284554127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4300433223","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2296852,0.0013086755,0.022958169,0.014358007,0.00046416355,0.0007564131,0.00015842449,0.0003364428,0.7299745],"genre_scores_gemma":[0.7163674,0.000499272,0.0083919,0.00023546122,0.00019106634,0.000054648397,0.00040525658,0.00013219763,0.2737228],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.98606414,0.010519009,0.00083149783,0.0009674276,0.0008100689,0.00080783886],"domain_scores_gemma":[0.9939417,0.0018322986,0.0008797133,0.0012868667,0.0016763196,0.00038306587],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.009996518,0.0005631661,0.00066228927,0.00020087641,0.0018753064,0.0004939309,0.0016633181,0.000986938,0.018000774],"category_scores_gemma":[0.0014180378,0.0006188949,0.00040374818,0.0009036132,0.002552218,0.00033968268,0.00019448716,0.00063804485,0.00037693194],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035794325,0.0019519714,0.29868856,0.0003627644,0.00026631486,0.000009436207,0.31472173,0.0000055643054,0.001069924,0.24448556,0.016720662,0.121681705],"study_design_scores_gemma":[0.0009716549,0.0000016516497,0.27814734,0.0017129289,0.00020521092,0.0000018947196,0.0024286157,0.0006797154,0.0029068654,0.004789457,0.7071775,0.0009771172],"about_ca_topic_score_codex":0.062461566,"about_ca_topic_score_gemma":0.3011335,"teacher_disagreement_score":0.69045687,"about_ca_system_score_codex":0.0005134558,"about_ca_system_score_gemma":0.000827232,"threshold_uncertainty_score":0.9996262},"labels":[],"label_agreement":null},{"id":"W4300970287","doi":"10.1108/s2044-994120220000017019","title":"Prelims","year":2022,"lang":"en","type":"book-chapter","venue":"Transport and sustainability","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geology","score_opus":0.014457647409680467,"score_gpt":0.27110675095738673,"score_spread":0.25664910354770626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4300970287","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02529472,0.0015135476,0.000039302642,0.0014479376,0.00028198503,0.0012583828,0.00012914545,0.00025993146,0.969775],"genre_scores_gemma":[0.5581289,0.00039651437,0.000012871819,0.00006389549,0.00015277896,0.000032226573,0.000116973606,0.000032650012,0.44106323],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99745685,0.00007398189,0.00050485536,0.00078814354,0.00067102845,0.0005051701],"domain_scores_gemma":[0.99870074,0.0001071665,0.00014242769,0.0005055166,0.00025823142,0.000285918],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014467905,0.00035452459,0.00054266024,0.00009789603,0.0012599335,0.000034917324,0.00037819953,0.00040474097,0.013221934],"category_scores_gemma":[0.000039319806,0.0003715638,0.00030610204,0.00007202145,0.001321062,0.0002684435,0.00003137831,0.0009055698,0.0000049026935],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016463138,0.00010473843,0.23017596,0.00059836596,0.0000668511,0.00014063124,0.01044331,0.0000027266012,1.4811376e-7,0.75008905,0.00031652476,0.007897089],"study_design_scores_gemma":[0.00016191321,0.000043260752,0.03529738,0.000009859652,0.000107119085,2.4519017e-7,0.000982669,3.6249503e-7,2.5694675e-7,0.21742055,0.7456145,0.00036184353],"about_ca_topic_score_codex":0.0038203076,"about_ca_topic_score_gemma":0.005505684,"teacher_disagreement_score":0.745298,"about_ca_system_score_codex":0.00048111877,"about_ca_system_score_gemma":0.001190346,"threshold_uncertainty_score":0.99987364},"labels":[],"label_agreement":null},{"id":"W4300970296","doi":"10.1108/s2044-994120220000017004","title":"North American Transportation During COVID-19: What Really Changed?","year":2022,"lang":"en","type":"book-chapter","venue":"Transport and sustainability","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Telecommuting; Context (archaeology); Public transport; 2019-20 coronavirus outbreak; Political science; Geography; Business; Economic growth; Economics; Engineering; Work (physics); Medicine","score_opus":0.017852786813709293,"score_gpt":0.2862771939676283,"score_spread":0.268424407153919,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4300970296","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9475549,0.0016030119,0.000109294735,0.006797811,0.0004129252,0.0030232652,0.00068765314,0.0006325993,0.039178558],"genre_scores_gemma":[0.9410383,0.0045645013,0.000020926504,0.0003580015,0.00025845302,0.00012723857,0.0012127789,0.00007854362,0.05234127],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99573064,0.0001482366,0.00088859664,0.0013457187,0.0010568022,0.0008300244],"domain_scores_gemma":[0.9974453,0.00014655749,0.00044596134,0.0006628747,0.000338753,0.00096055545],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013289083,0.00060771254,0.00095615373,0.00024470937,0.0024170717,0.000118970034,0.0005129408,0.00028255084,0.003183236],"category_scores_gemma":[0.00006686544,0.0006723522,0.00043850415,0.00030665193,0.0023217476,0.0010690765,0.000015314841,0.0010584738,0.0000022462857],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00063947483,0.00015116938,0.91840535,0.001786026,0.000115459145,0.00049154606,0.04380315,0.000036081008,3.1973806e-7,0.028245715,0.000044372227,0.0062813093],"study_design_scores_gemma":[0.00047233442,0.00010130031,0.6650366,0.000021791699,0.0002581866,6.960339e-7,0.010148494,6.03399e-7,6.104407e-7,0.0152308075,0.30793527,0.00079329044],"about_ca_topic_score_codex":0.02257042,"about_ca_topic_score_gemma":0.35666627,"teacher_disagreement_score":0.33409587,"about_ca_system_score_codex":0.0013670169,"about_ca_system_score_gemma":0.0022371083,"threshold_uncertainty_score":0.99957275},"labels":[],"label_agreement":null},{"id":"W4301185429","doi":"10.1186/s12966-022-01353-6","title":"Changes in physical activity after joining a bikeshare program: a cohort of new bikeshare users","year":2022,"lang":"en","type":"article","venue":"International Journal of Behavioral Nutrition and Physical Activity","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Centers for Disease Control and Prevention; Drexel University","keywords":"Physical activity; Behavioural sciences; Cohort; Medicine; Gerontology; Psychology; Physical medicine and rehabilitation; Internal medicine","score_opus":0.058930300183981224,"score_gpt":0.3895655848261801,"score_spread":0.3306352846421989,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4301185429","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977693,0.000024332778,0.000010024123,0.0014192921,0.00020338586,0.0002940425,0.0002147187,0.000016259952,0.00004863599],"genre_scores_gemma":[0.99928313,0.000017460496,0.00006407127,0.000026933667,0.0004934524,0.0000603468,0.000013221019,0.000008168438,0.000033208493],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984114,0.00016702524,0.00016039312,0.00019482175,0.000889436,0.00017689847],"domain_scores_gemma":[0.99921554,0.00006856764,0.00030874467,0.00006852095,0.00019805519,0.000140559],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023080368,0.00012170629,0.00032138097,0.0001702299,0.000110993984,0.000063349806,0.00026140135,0.00004238629,0.00019179053],"category_scores_gemma":[0.0000169211,0.000118390606,0.00019005603,0.00028435816,0.00014413956,0.0006434749,0.00007331401,0.0004518874,4.832119e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018049728,0.01745517,0.776403,0.000041861113,0.000064388165,0.00011883513,0.009399619,0.000006589625,0.008414989,0.000078467536,0.00021814738,0.18599395],"study_design_scores_gemma":[0.0014158613,0.00049116125,0.99067175,0.00012118098,0.000060855404,0.0000047668805,0.0011577919,0.000122033365,0.003014752,0.00072369346,0.0020374663,0.00017867499],"about_ca_topic_score_codex":0.0014979611,"about_ca_topic_score_gemma":0.0009865701,"teacher_disagreement_score":0.21426874,"about_ca_system_score_codex":0.00018928583,"about_ca_system_score_gemma":0.00013890972,"threshold_uncertainty_score":0.48278287},"labels":[],"label_agreement":null},{"id":"W4302011933","doi":"10.32920/14668677.v1","title":"Bloor Bike Lanes: Assessing The Economic Impact Of Bike Lanes In The Planning Of A 21st Century Street","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transport engineering; Plan (archaeology); Cycling; Transportation planning; Mandate; Public transport; Environmental planning; Business; Civil engineering; Geography; Engineering; Political science","score_opus":0.047551937850155906,"score_gpt":0.38375594126045376,"score_spread":0.3362040034102979,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4302011933","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9661845,0.00064436666,0.0000028756483,0.0001912796,0.00031421613,0.00042856543,0.00016560931,0.000028136521,0.032040473],"genre_scores_gemma":[0.9994001,0.00014540057,0.000036247002,0.000035357276,0.00016535837,0.000022231294,0.000085037755,0.00001081303,0.00009947919],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99796844,0.00047762267,0.0005595111,0.00033623105,0.00036150802,0.0002966643],"domain_scores_gemma":[0.998401,0.0005286166,0.0004917309,0.00050839665,0.000030172163,0.000040101244],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0021267522,0.00019975204,0.0004314828,0.00012042289,0.00026007116,0.00013140574,0.0013160299,0.00015998445,0.001597782],"category_scores_gemma":[0.000047552538,0.000110553716,0.0003081917,0.00021010946,0.00033557857,0.00015141345,0.00019193446,0.000593585,0.000001500732],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011090719,0.00006361302,0.978929,0.00007927091,0.000056383375,0.000004581051,0.017140627,0.0027025174,0.0000115371295,0.00044898392,0.00012709864,0.00042533685],"study_design_scores_gemma":[0.00017206639,0.000027439373,0.9211421,0.000100054975,0.0000591306,1.9301349e-7,0.07591252,0.00014407787,0.000017807146,0.0010836297,0.001151756,0.00018923536],"about_ca_topic_score_codex":0.1442138,"about_ca_topic_score_gemma":0.024242857,"teacher_disagreement_score":0.11997094,"about_ca_system_score_codex":0.0002543016,"about_ca_system_score_gemma":0.001268932,"threshold_uncertainty_score":0.9993149},"labels":[],"label_agreement":null},{"id":"W4302011959","doi":"10.32920/14668677","title":"Bloor Bike Lanes: Assessing The Economic Impact Of Bike Lanes In The Planning Of A 21st Century Street","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transport engineering; Plan (archaeology); Cycling; Transportation planning; Mandate; Environmental planning; Business; Civil engineering; Engineering; Geography; Political science","score_opus":0.047551937850155906,"score_gpt":0.38375594126045376,"score_spread":0.3362040034102979,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4302011959","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9661845,0.00064436666,0.0000028756483,0.0001912796,0.00031421613,0.00042856543,0.00016560931,0.000028136521,0.032040473],"genre_scores_gemma":[0.9994001,0.00014540057,0.000036247002,0.000035357276,0.00016535837,0.000022231294,0.000085037755,0.00001081303,0.00009947919],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99796844,0.00047762267,0.0005595111,0.00033623105,0.00036150802,0.0002966643],"domain_scores_gemma":[0.998401,0.0005286166,0.0004917309,0.00050839665,0.000030172163,0.000040101244],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0021267522,0.00019975204,0.0004314828,0.00012042289,0.00026007116,0.00013140574,0.0013160299,0.00015998445,0.001597782],"category_scores_gemma":[0.000047552538,0.000110553716,0.0003081917,0.00021010946,0.00033557857,0.00015141345,0.00019193446,0.000593585,0.000001500732],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011090719,0.00006361302,0.978929,0.00007927091,0.000056383375,0.000004581051,0.017140627,0.0027025174,0.0000115371295,0.00044898392,0.00012709864,0.00042533685],"study_design_scores_gemma":[0.00017206639,0.000027439373,0.9211421,0.000100054975,0.0000591306,1.9301349e-7,0.07591252,0.00014407787,0.000017807146,0.0010836297,0.001151756,0.00018923536],"about_ca_topic_score_codex":0.1442138,"about_ca_topic_score_gemma":0.024242857,"teacher_disagreement_score":0.11997094,"about_ca_system_score_codex":0.0002543016,"about_ca_system_score_gemma":0.001268932,"threshold_uncertainty_score":0.9993149},"labels":[],"label_agreement":null},{"id":"W4302604038","doi":"10.2139/ssrn.4185451","title":"Individuals’ Identities as a Mediating Factor between Walkability and Walking Behaviors","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Walkability; Psychology; Factor (programming language); Medicine; Physical activity; Physical medicine and rehabilitation; Computer science","score_opus":0.01567099889217511,"score_gpt":0.3008547329447247,"score_spread":0.2851837340525496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4302604038","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969756,0.001221566,0.00005738985,0.0005010134,0.00022415751,0.00015683852,0.000025212757,0.000050647173,0.00078758004],"genre_scores_gemma":[0.99860555,0.0002807895,0.00002024465,0.00003427566,0.00038583824,0.000011953974,0.000008773946,0.000012831868,0.0006397679],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99655026,0.0004068641,0.0003520708,0.0002503694,0.00082005473,0.0016203688],"domain_scores_gemma":[0.99931973,0.00015993658,0.00021814885,0.00010882452,0.000050728777,0.0001426053],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.004771217,0.00012436928,0.00020638591,0.00010569533,0.002606246,0.00017658458,0.0004229565,0.000059527447,0.0005632778],"category_scores_gemma":[0.00017137808,0.00012532185,0.00010500777,0.00026542132,0.00020485537,0.0005254817,0.00009690161,0.0019400629,0.0000029075643],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000046522414,0.000030211135,0.9685125,0.0000034536818,0.000037369387,0.0000023145376,0.01245209,5.0011107e-7,0.0000270587,0.004004824,0.000006041593,0.014919011],"study_design_scores_gemma":[0.00038083395,0.0001719671,0.6611679,0.0000054618195,0.00008533903,0.000012562444,0.05951865,7.8824735e-7,0.000035206063,0.27695855,0.0014134475,0.00024929136],"about_ca_topic_score_codex":0.0026359374,"about_ca_topic_score_gemma":0.004863994,"teacher_disagreement_score":0.30734456,"about_ca_system_score_codex":0.0011076112,"about_ca_system_score_gemma":0.0021803735,"threshold_uncertainty_score":0.9986922},"labels":[],"label_agreement":null},{"id":"W4306762878","doi":"10.1016/j.tra.2022.10.004","title":"What happens when post-secondary programmes go virtual for COVID-19? Effects of forced telecommuting on travel demand of post-secondary students during the pandemic","year":2022,"lang":"en","type":"article","venue":"Transportation Research Part A Policy and Practice","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Telecommuting; Pandemic; Demand management; Business; Travel behavior; Supply and demand; Coronavirus disease 2019 (COVID-19); Transport engineering; Economics; Engineering; Work (physics); Microeconomics; Medicine","score_opus":0.07361869893706716,"score_gpt":0.451796185230918,"score_spread":0.37817748629385084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4306762878","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9879585,0.000635379,0.00005255686,0.007964027,0.00011079762,0.002472754,0.0003757645,0.000030852327,0.0003993763],"genre_scores_gemma":[0.996864,0.0005747376,0.000060474802,0.0010662591,0.00011728733,0.00041843267,0.00013657742,0.000019223402,0.00074298383],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9956556,0.0016070547,0.00058652076,0.00037685156,0.0012042741,0.0005697123],"domain_scores_gemma":[0.989448,0.009279232,0.0003710363,0.00025347486,0.00040708872,0.00024115526],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0073727593,0.00015829413,0.00030376215,0.00024210097,0.0021693313,0.00015345009,0.0005536414,0.00009533837,0.00021015415],"category_scores_gemma":[0.0029529172,0.00013689295,0.00013521724,0.00049052434,0.00066687143,0.0011137711,0.000030598494,0.00073251635,9.80574e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.018829616,0.0026818214,0.28583068,0.004978133,0.0008059565,0.00007023664,0.6197403,0.0002287981,0.010421365,0.024650542,0.0007063228,0.031056248],"study_design_scores_gemma":[0.0059444252,0.0030926473,0.7047985,0.00016734886,0.00021342715,0.0000042075603,0.1903818,0.000019671477,0.0020660611,0.00250544,0.09038341,0.0004230701],"about_ca_topic_score_codex":0.012360265,"about_ca_topic_score_gemma":0.011799495,"teacher_disagreement_score":0.4293585,"about_ca_system_score_codex":0.000118554446,"about_ca_system_score_gemma":0.0015808177,"threshold_uncertainty_score":0.9991297},"labels":[],"label_agreement":null},{"id":"W4306942271","doi":"10.4102/ajod.v11i0.936","title":"Transport experiences of people with disabilities during learnerships","year":2022,"lang":"en","type":"article","venue":"African Journal of Disability","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Transport Canada","funders":"Universiteit Stellenbosch","keywords":"Language barrier; Public transport; Psychology; Sample (material); Political science; Transport engineering; Chemistry; Engineering","score_opus":0.023228900930858647,"score_gpt":0.26890262352604655,"score_spread":0.2456737225951879,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4306942271","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963917,0.00010188867,0.00001738107,0.0006119039,0.00017119625,0.0001632734,0.000014558646,0.000017361937,0.0025107062],"genre_scores_gemma":[0.99966,0.0000046759037,0.000087032524,0.0000066775497,0.00009438741,0.00002206078,0.0000012140877,0.000008490913,0.00011541638],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99739313,0.0004179138,0.00064618106,0.00021460683,0.0010287286,0.00029941567],"domain_scores_gemma":[0.9987391,0.00026525772,0.00042422116,0.00025050424,0.00014695554,0.00017390927],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0017663887,0.00012201962,0.00040836702,0.00004389608,0.0006059105,0.000016460526,0.00059891085,0.000028812909,0.0021564811],"category_scores_gemma":[0.00016890587,0.000096613534,0.00022771605,0.00062078104,0.0021216406,0.00045703875,0.000025995221,0.00031582493,2.9629066e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029509113,0.00035818212,0.69871235,0.000030691263,0.000018720202,0.0000026052408,0.30017108,0.0000562759,0.000028845723,0.00018472907,0.000004227022,0.00013722054],"study_design_scores_gemma":[0.0002406439,0.00022355372,0.38498482,0.000008668827,0.000027662449,0.000002406629,0.61370647,5.4111206e-7,0.00015606236,0.00039757264,0.0001605784,0.000091004345],"about_ca_topic_score_codex":0.0009994458,"about_ca_topic_score_gemma":0.0021815079,"teacher_disagreement_score":0.3137275,"about_ca_system_score_codex":0.0002495607,"about_ca_system_score_gemma":0.0003274229,"threshold_uncertainty_score":0.9987557},"labels":[],"label_agreement":null},{"id":"W4307134159","doi":"10.2196/preprints.43188","title":"Public Transport Accessibility for People With Disabilities: Protocol for a Scoping Review (Preprint)","year":2022,"lang":"en","type":"review","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Centre for Interdisciplinary Research in Rehabilitation","funders":"","keywords":"PsycINFO; Checklist; Grey literature; Inclusion (mineral); MEDLINE; Psychology; Guideline; Web accessibility; Medical education; Systematic review; Preprint; Applied psychology; Medicine; Nursing; Political science; World Wide Web; Social psychology; Computer science","score_opus":0.26073129132974043,"score_gpt":0.46680866685523553,"score_spread":0.2060773755254951,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307134159","genre_codex":"protocol","genre_gemma":"protocol","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"protocol","genre_consensus":"protocol","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[6.5374525e-7,0.45648852,0.001586975,0.00017821489,0.00007999711,0.53639364,0.00019777303,0.00023483738,0.004839395],"genre_scores_gemma":[0.0000013178549,0.46205083,0.0005378968,0.0000672587,0.00013167493,0.53609294,0.0002109407,0.000049360944,0.0008577759],"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","domain_scores_codex":[0.9942109,0.0004485137,0.0018787909,0.0016985165,0.0008059015,0.000957406],"domain_scores_gemma":[0.99524647,0.0020779765,0.00084841845,0.0012061241,0.00029875903,0.0003222555],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0053590005,0.00066014234,0.003308327,0.000101231046,0.0013448519,0.00019576804,0.0017266889,0.00028492967,0.0109155895],"category_scores_gemma":[0.0011113926,0.00046444233,0.0016764335,0.0011967624,0.00043176027,0.0008358118,0.00007104766,0.00035342618,0.000003882856],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040538118,0.0003140167,0.0029187717,0.71501374,0.00007131609,3.4599725e-7,0.0005667071,4.7517634e-8,1.0959597e-9,0.00082020165,0.00036932103,0.27988496],"study_design_scores_gemma":[0.00043922482,0.000110239824,0.00002260329,0.12096137,0.0004510088,3.7310312e-7,0.0003997246,3.463725e-7,4.857502e-8,0.00044727523,0.87657917,0.0005886094],"about_ca_topic_score_codex":0.00055596064,"about_ca_topic_score_gemma":0.02621174,"teacher_disagreement_score":0.87620986,"about_ca_system_score_codex":0.0005869325,"about_ca_system_score_gemma":0.006800755,"threshold_uncertainty_score":0.99995524},"labels":[],"label_agreement":null},{"id":"W4307137713","doi":"10.1080/26892618.2022.2131677","title":"How Do Older Adults Living in the Community in Brazil Perceive Walkability in the Context of Sidewalks?","year":2022,"lang":"en","type":"article","venue":"Journal of Aging and Environment","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Walkability; Context (archaeology); Gerontology; Community design; Built environment; Psychology; Geography; Environmental health; Medicine; Political science; Engineering; Civil engineering","score_opus":0.014306190221537757,"score_gpt":0.2531727326839824,"score_spread":0.23886654246244463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307137713","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9932821,0.0006388655,0.0000025888066,0.005751043,0.000033549382,0.00013320331,0.0000022488036,8.4346084e-7,0.00015558027],"genre_scores_gemma":[0.9995239,0.00019284006,0.000011773231,0.00022901817,0.000021855201,0.000005019639,3.5239697e-7,0.0000021256026,0.0000131240695],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976054,0.0014802144,0.00029214946,0.00007641014,0.00040865407,0.00013717556],"domain_scores_gemma":[0.9990823,0.00057110906,0.00016848123,0.00014885365,0.00000608997,0.000023137058],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0062645827,0.000060922957,0.00015776906,0.000053332464,0.0002938744,0.00004188701,0.0003839493,0.00002250858,0.00006386391],"category_scores_gemma":[0.00007323414,0.00003788447,0.000054580894,0.0001233486,0.00021850965,0.00017276355,0.00004855182,0.00068491534,8.58401e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014081698,0.00029268998,0.6868414,0.000010576694,0.0000022509582,0.000007067468,0.30802566,0.000051487394,0.000010552688,0.000009251974,0.000015747966,0.0047192015],"study_design_scores_gemma":[0.00022099934,0.000038135204,0.68653697,0.000050782113,0.000004283168,0.0000012514357,0.31263274,0.0000072550147,0.0000029223493,0.00025897432,0.00021633138,0.000029338582],"about_ca_topic_score_codex":0.0061285906,"about_ca_topic_score_gemma":0.007376934,"teacher_disagreement_score":0.0062418142,"about_ca_system_score_codex":0.00014447182,"about_ca_system_score_gemma":0.000027049398,"threshold_uncertainty_score":0.9264636},"labels":[],"label_agreement":null},{"id":"W4307210648","doi":"10.1007/s43678-022-00397-8","title":"Injuries associated with e-scooter use in the City of Calgary: Canada joins an international conversation","year":2022,"lang":"en","type":"letter","venue":"Canadian Journal of Emergency Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Alberta Children's Hospital; University of Calgary","funders":"","keywords":"Conversation; Medicine; Joins; Medical emergency; Suicide prevention; Human factors and ergonomics; Occupational safety and health; Poison control; Family medicine; Environmental health; Communication; Pathology; Psychology; Computer science","score_opus":0.08732281781716635,"score_gpt":0.3174046914391853,"score_spread":0.23008187362201898,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307210648","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7195465,0.00014538175,0.000008081438,0.27135754,0.0064223697,0.00022144004,0.00017502981,0.000002560556,0.002121123],"genre_scores_gemma":[0.9625516,0.00006048345,0.0000065533472,0.034127306,0.0020666067,0.0000042375136,0.00037241806,0.000015317475,0.00079549203],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9971977,0.00044187266,0.0007543809,0.00015576559,0.0011467647,0.00030350446],"domain_scores_gemma":[0.9981506,0.00014205828,0.0007952585,0.00018640676,0.0005159508,0.0002097266],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014592971,0.00015242484,0.00036609278,0.00029097364,0.00021474448,0.0000139957765,0.0008608842,0.00016118001,0.010940416],"category_scores_gemma":[0.00082436675,0.00010479972,0.00006577686,0.0005015542,0.00033615224,0.0004241995,0.0000052346345,0.0012264092,7.8113914e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001846286,0.0000117881755,0.6800475,0.000009531845,0.00007776777,0.00029018044,0.011773729,0.0000020584528,7.7854713e-7,0.00003197134,0.30769986,0.000036377973],"study_design_scores_gemma":[0.00030258214,0.00018615891,0.42573765,0.0001144763,0.00010482423,7.7459777e-7,0.004026953,0.0000027973,8.089461e-7,0.00011655857,0.5692732,0.00013326229],"about_ca_topic_score_codex":0.9880445,"about_ca_topic_score_gemma":0.999498,"teacher_disagreement_score":0.26157328,"about_ca_system_score_codex":0.0008352927,"about_ca_system_score_gemma":0.007663345,"threshold_uncertainty_score":0.9979623},"labels":[],"label_agreement":null},{"id":"W4307342828","doi":"10.1007/s43678-022-00378-x","title":"Electric scooter related injuries in Calgary emergency departments","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Emergency Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Foothills Medical Centre; Alberta Health Services; Transport Canada; University of Alberta; University of Calgary; Dalhousie University","funders":"","keywords":"Medicine; Medical emergency; Injury prevention; Suicide prevention; Poison control; Human factors and ergonomics; Occupational safety and health; Emergency medicine; Aeronautics; Engineering; Pathology","score_opus":0.04550664995628522,"score_gpt":0.33783737360903493,"score_spread":0.2923307236527497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307342828","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9544768,0.0037342163,0.000005021052,0.0038039044,0.009161086,0.00016694698,0.000006493061,0.0000068851177,0.028638676],"genre_scores_gemma":[0.99596417,0.0003278949,0.000004791373,0.00011668893,0.00038802047,0.0000068842883,0.0000069474327,0.000011740867,0.003172858],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976235,0.00027539302,0.0009226196,0.00016324337,0.0005471679,0.00046806407],"domain_scores_gemma":[0.9988114,0.00002346973,0.00029433143,0.00013897372,0.00013324255,0.0005985677],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015715539,0.000120458906,0.00026391057,0.00062894233,0.0006059562,0.0000030232084,0.00046027586,0.000054057167,0.046182513],"category_scores_gemma":[0.00034828263,0.00010835187,0.00009989972,0.0015672873,0.00009927009,0.00017994351,0.000007523485,0.0005408233,0.0000077274935],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003672604,0.0000505287,0.9489176,0.0000074768677,0.000033209017,0.00017119425,0.0084819365,0.000020366624,0.000054765194,0.0012078634,0.040231287,0.00078701216],"study_design_scores_gemma":[0.00087625807,0.000776461,0.7524423,0.00004007059,0.0000720735,0.0000022344238,0.003140337,0.000013204082,0.000016990036,0.0120549295,0.23027657,0.00028854248],"about_ca_topic_score_codex":0.04576826,"about_ca_topic_score_gemma":0.2551206,"teacher_disagreement_score":0.20935234,"about_ca_system_score_codex":0.00041158948,"about_ca_system_score_gemma":0.0013213073,"threshold_uncertainty_score":0.9605861},"labels":[],"label_agreement":null},{"id":"W4307486662","doi":"10.1016/j.sste.2022.100546","title":"Comparison of spatial approaches to assess the effect of residing in a 20-minute neighbourhood on body mass index","year":2022,"lang":"en","type":"article","venue":"Spatial and Spatio-temporal Epidemiology","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Health and Medical Research Council; Australian Research Council; Canadian Institutes of Health Research","keywords":"Neighbourhood (mathematics); Cartography; Body mass index; Index (typography); Geography; Statistics; Medicine; Computer science; Mathematics; Internal medicine","score_opus":0.17422363007710717,"score_gpt":0.3767097736564318,"score_spread":0.20248614357932465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307486662","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99085873,0.00013941085,0.003304436,0.0034357263,0.00030154947,0.0008137662,0.00004749218,0.000019181894,0.0010796897],"genre_scores_gemma":[0.99934924,0.000004603515,0.0001304001,0.00011821043,0.00015707433,0.000114214934,0.00006658343,0.000011014482,0.000048667982],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9943292,0.0034859194,0.00096726057,0.00045049383,0.00035204994,0.00041508063],"domain_scores_gemma":[0.9966818,0.00233317,0.00057202857,0.00026746694,0.00003160335,0.0001139025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006351696,0.00019611021,0.0009746908,0.00016637199,0.0004080899,0.0000097400625,0.0004286678,0.00014491557,0.0001915756],"category_scores_gemma":[0.0010098107,0.00014367761,0.00012700542,0.00037286754,0.00040037764,0.00009355333,0.00011715304,0.00044824462,0.0000010160235],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00081217283,0.000096433956,0.98718596,0.000046936468,0.000020785048,0.0000022145339,0.0018789462,0.0019679265,0.00006207432,0.0027402504,0.0000813625,0.0051049553],"study_design_scores_gemma":[0.00065661146,0.0014778237,0.98371774,0.000027201835,0.00002784911,1.8011207e-7,0.00093771546,0.008534157,0.0005652403,0.0029644987,0.00091156794,0.00017943548],"about_ca_topic_score_codex":0.10114324,"about_ca_topic_score_gemma":0.06173491,"teacher_disagreement_score":0.039408326,"about_ca_system_score_codex":0.00008485508,"about_ca_system_score_gemma":0.0001330032,"threshold_uncertainty_score":0.955386},"labels":[],"label_agreement":null},{"id":"W4307633678","doi":"10.3390/ijerph192113964","title":"Neighborhood and Family Characteristics Associated with Adiposity and Physical Activity Engagement among Preschoolers in a Small Rural Community","year":2022,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Ohio University","keywords":"Physical activity; Percentile; Injury prevention; Human factors and ergonomics; Poison control; Suicide prevention; Perception; Gerontology; Demography; Occupational safety and health; Rural community; Psychology; Medicine; Environmental health; Physical therapy","score_opus":0.09287493821190151,"score_gpt":0.36716507958140165,"score_spread":0.27429014136950014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307633678","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99682367,0.00011715793,0.000011514454,0.0025996768,0.000040074985,0.00016763282,0.0000839094,0.0000029018042,0.00015348957],"genre_scores_gemma":[0.9994375,0.00034068333,0.000009964331,0.00010725936,0.00005139873,0.0000066842504,0.00001304716,0.0000044451845,0.000028986644],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99697274,0.001678214,0.00017459327,0.00010042131,0.0007917194,0.0002823284],"domain_scores_gemma":[0.99903435,0.0003745172,0.00016619031,0.00005566311,0.000042571082,0.00032673086],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004781914,0.000066736575,0.00015434377,0.00014116088,0.0007652033,0.00013655516,0.00025016456,0.0000232709,0.000033887623],"category_scores_gemma":[0.00016931944,0.00005972904,0.00001879896,0.000091996604,0.0005420481,0.0004002903,0.00019990031,0.0011923888,9.6046136e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015160529,0.0013172916,0.9701203,0.0000051623515,0.000049539198,0.00001574736,0.0073623946,6.835332e-7,0.00007592026,0.000101552825,0.000012549615,0.020787228],"study_design_scores_gemma":[0.0006827666,0.00050368946,0.98961097,0.00001837018,0.000002423709,0.0000022351724,0.008376403,0.0000614858,0.0000018075632,0.00043450375,0.0002552746,0.000050048664],"about_ca_topic_score_codex":0.004150365,"about_ca_topic_score_gemma":0.0018986012,"teacher_disagreement_score":0.020737179,"about_ca_system_score_codex":0.00060898444,"about_ca_system_score_gemma":0.00028933544,"threshold_uncertainty_score":0.6274138},"labels":[],"label_agreement":null},{"id":"W4307742161","doi":"10.1007/s11116-022-10341-5","title":"Age and domestic migration effects on workers’ commuting distance","year":2022,"lang":"en","type":"article","venue":"Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Census; Residence; Geography; Journey to work; Demographic economics; Demography; Work (physics); Duration (music); Rural area; Migrant workers; Socioeconomics; Population; Sociology; Economic growth; Transport engineering; Medicine; Economics; Public transport; Engineering","score_opus":0.014396900104704038,"score_gpt":0.28707502677122493,"score_spread":0.2726781266665209,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307742161","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99701816,0.000104082515,0.00071036484,0.0005255709,0.00016088353,0.00025640152,0.000014381113,0.00007606244,0.0011340715],"genre_scores_gemma":[0.9992947,0.000009565108,0.00010265892,0.00011087519,0.000044980156,0.00004233839,0.00012466375,0.000006404813,0.00026379692],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991749,0.0001025714,0.00013881124,0.0001686335,0.00027452165,0.00014056968],"domain_scores_gemma":[0.99965686,0.00013884145,0.0000616613,0.00008085106,0.0000137211555,0.00004805418],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003234238,0.000066576904,0.00008720791,0.000033584885,0.0008065625,0.000029530063,0.0000827203,0.000024694897,0.00007438826],"category_scores_gemma":[0.000013302479,0.00007157907,0.00003064505,0.00022594853,0.00007396636,0.00014149414,0.0000011991002,0.00013034989,0.000001672133],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007330253,0.000060359896,0.9598375,0.000045270757,0.0000064159217,0.00005100102,0.027161129,0.00015657095,0.00016527368,0.004741377,0.00007264414,0.0076291715],"study_design_scores_gemma":[0.0002670128,0.000047399586,0.99218315,0.00001904201,0.000021435913,4.3892907e-8,0.0018450258,0.000025854033,0.00004800301,0.0017600899,0.0036889198,0.00009405349],"about_ca_topic_score_codex":0.0017503403,"about_ca_topic_score_gemma":0.017255606,"teacher_disagreement_score":0.032345638,"about_ca_system_score_codex":0.000055372668,"about_ca_system_score_gemma":0.000030322975,"threshold_uncertainty_score":0.9629034},"labels":[],"label_agreement":null},{"id":"W4307857937","doi":"10.1016/j.tra.2022.10.010","title":"The determinants of commute mode usage frequency of post-secondary students in the Greater Toronto and Hamilton Area","year":2022,"lang":"en","type":"article","venue":"Transportation Research Part A Policy and Practice","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ordered probit; Travel behavior; Mode choice; Transport engineering; Mode (computer interface); Probit model; Built environment; Probit; Set (abstract data type); Sustainable transport; Business; Environmental economics; Computer science; Public transport; Econometrics; Sustainability; Engineering; Economics; Civil engineering","score_opus":0.10925651503118664,"score_gpt":0.4734564131027221,"score_spread":0.3641998980715354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307857937","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99240214,0.0006742973,0.0000013693966,0.0023424118,0.000022598679,0.00046319692,0.00017440699,0.000004237052,0.0039153583],"genre_scores_gemma":[0.99838865,0.0010592922,0.000020368432,0.00020452024,0.000024615247,0.00007720664,0.000014937236,0.000004478594,0.00020596213],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99667925,0.0016583247,0.00034195476,0.00016071518,0.0008946656,0.00026507454],"domain_scores_gemma":[0.9972358,0.0022028275,0.00013990997,0.00020151964,0.0001636394,0.00005634194],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0063938256,0.00006825164,0.00013141078,0.0000565438,0.0009678285,0.00005773914,0.0004205991,0.000036905425,0.000107448395],"category_scores_gemma":[0.00031040033,0.00004701908,0.00002983841,0.0002986189,0.0005974159,0.0006420301,0.000013590861,0.00031459736,2.325166e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043950957,0.00019891319,0.817507,0.000057519657,0.000020641699,0.000017507135,0.17576161,0.0000024450944,0.0001159678,0.00376122,0.00007261221,0.0020450368],"study_design_scores_gemma":[0.0003770487,0.00014856529,0.94169277,0.0000135610735,0.000018299572,7.273907e-7,0.04145416,0.0000082314045,0.000035488392,0.0013989732,0.014794884,0.00005729167],"about_ca_topic_score_codex":0.22755909,"about_ca_topic_score_gemma":0.32711145,"teacher_disagreement_score":0.13430744,"about_ca_system_score_codex":0.00004306525,"about_ca_system_score_gemma":0.00028471462,"threshold_uncertainty_score":0.7775847},"labels":[],"label_agreement":null},{"id":"W4308027435","doi":"10.1038/s41598-022-22630-1","title":"Predicting walking-to-work using street-level imagery and deep learning in seven Canadian cities","year":2022,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Memorial University of Newfoundland; Simon Fraser University; Public Health Ontario; University of Toronto; University of Saskatchewan; Université de Montréal; University of Calgary; University of Victoria; McGill University Health Centre","funders":"Canadian Institutes of Health Research","keywords":"Work (physics); Deep learning; Computer science; Artificial intelligence; Geography; Engineering","score_opus":0.02992096862052878,"score_gpt":0.27231967729820944,"score_spread":0.24239870867768065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308027435","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940715,0.0001803017,0.0000238821,0.00016814741,0.0026089463,0.00025426698,0.0000052987857,0.00005544346,0.0026322578],"genre_scores_gemma":[0.9974744,9.330187e-7,0.00032315205,0.00003821524,0.00008120954,0.000015672575,0.000018654157,0.000010776231,0.0020370309],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99762875,0.00017793226,0.00038462167,0.0006250761,0.0006195131,0.0005640991],"domain_scores_gemma":[0.999189,0.00005408923,0.00015609815,0.00023848357,0.000068404945,0.00029391597],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0044520926,0.00010029849,0.0001537078,0.00036856325,0.0031471853,0.00038193032,0.00016895069,0.00004226608,0.00031533785],"category_scores_gemma":[0.00032271518,0.000115745555,0.00004249025,0.0013232689,0.0002964763,0.0003211544,0.000097128854,0.00028480878,9.387282e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000022621487,0.000009900621,0.9745176,0.0000064658566,0.0000029890343,0.00029866403,0.020550353,0.0007461585,0.00006027684,0.000014331381,0.00010035473,0.0036906512],"study_design_scores_gemma":[0.00008708674,0.000013391257,0.9344168,0.000056461908,0.000016314805,0.000010585791,0.041692562,0.0004171664,0.00005992913,0.0029185226,0.01996711,0.00034411717],"about_ca_topic_score_codex":0.27296105,"about_ca_topic_score_gemma":0.6904177,"teacher_disagreement_score":0.41745666,"about_ca_system_score_codex":0.00041361075,"about_ca_system_score_gemma":0.0008835076,"threshold_uncertainty_score":0.9981506},"labels":[],"label_agreement":null},{"id":"W4308032510","doi":"10.1016/j.jth.2022.101512","title":"Short report: An algorithm based on the Canadian survey on disability to propose paratransit eligibility of the Quebec's population","year":2022,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal","funders":"Social Sciences and Humanities Research Council of Canada; Mitacs; Canadian Institutes of Health Research; Fonds de recherche du Québec; Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Paratransit; Population; Algorithm; Geography; Demography; Computer science; Political science; Sociology; Law","score_opus":0.048992974346375624,"score_gpt":0.3647499696629879,"score_spread":0.3157569953166123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308032510","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9743427,0.00001929728,0.00024819214,0.023105202,0.0006317154,0.0010875005,0.00040062162,0.000012376712,0.00015237063],"genre_scores_gemma":[0.99831736,0.0000028485613,0.00019008359,0.0012218154,0.00012807462,0.000010866944,0.0000716155,0.000013377226,0.000043980148],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9945097,0.0017261192,0.0012812926,0.00035191482,0.0016899914,0.00044095615],"domain_scores_gemma":[0.99770427,0.0001859062,0.00052668934,0.00071927527,0.00027814522,0.0005856905],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.01515719,0.00017126485,0.00045393698,0.0000879369,0.0018011389,0.000031919062,0.0007534537,0.00007605354,0.00023842616],"category_scores_gemma":[0.00010617342,0.00010836401,0.00030034507,0.00079784624,0.00024615836,0.00018746308,0.000005177097,0.0007357497,3.5812687e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002308346,0.00045537317,0.98846644,0.000018984963,0.000010951695,0.000018500265,0.0025914249,0.0017841664,0.0000016513683,0.0001006056,0.0002235165,0.0060975323],"study_design_scores_gemma":[0.00013538875,0.00036526305,0.99702764,0.000029013607,0.000020382191,0.0000013977535,0.0004147029,0.00005297356,0.000016639822,0.00024823495,0.0015789644,0.00010941203],"about_ca_topic_score_codex":0.923245,"about_ca_topic_score_gemma":0.99396944,"teacher_disagreement_score":0.07072441,"about_ca_system_score_codex":0.0017014544,"about_ca_system_score_gemma":0.004723842,"threshold_uncertainty_score":0.99949837},"labels":[],"label_agreement":null},{"id":"W4308231322","doi":"10.31234/osf.io/8pg36","title":"It’s snowing? Keep on rolling! Individual determinants of winter cycling in Québec","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec; Université du Québec à Montréal","funders":"","keywords":"Theory of planned behavior; Cycling; Habit; Automaticity; Structural equation modeling; Longitudinal study; Demography; Psychology; Gerontology; Social psychology; Geography; Medicine; Control (management); Cognition; Mathematics; Sociology","score_opus":0.05755044010014217,"score_gpt":0.3575384961222872,"score_spread":0.29998805602214507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308231322","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.948455,0.000085802676,0.000016901004,0.0006280142,0.00070672034,0.00036984013,0.000042598233,0.000053589407,0.049641576],"genre_scores_gemma":[0.99663115,0.000019481302,0.00014822494,0.00038235696,0.00015653518,0.00003710167,0.000020152904,0.000017367222,0.0025876502],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99739707,0.00020552364,0.0007230084,0.0005827136,0.0007281549,0.0003635152],"domain_scores_gemma":[0.9989756,0.00021925409,0.0002890919,0.00038750994,0.00004447592,0.00008411335],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0016066441,0.00021559963,0.0005062735,0.00020809627,0.00020252154,0.00006390385,0.0010343667,0.0002717518,0.0038294524],"category_scores_gemma":[0.0001333814,0.00020814662,0.00025195713,0.00020565109,0.00020918333,0.00011733065,0.00036420178,0.0008399024,0.000009163496],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037003338,0.00018622866,0.9716785,0.00006268431,0.000018440905,0.000016359016,0.023694873,0.00015967821,0.0000029111982,0.000030712956,0.00013381033,0.003978775],"study_design_scores_gemma":[0.0006505932,0.00010180792,0.9718881,0.00050809985,0.00008900602,1.00203465e-7,0.009757686,0.00017550954,0.00069128117,0.0032756915,0.012108647,0.00075345684],"about_ca_topic_score_codex":0.13721512,"about_ca_topic_score_gemma":0.6285892,"teacher_disagreement_score":0.4913741,"about_ca_system_score_codex":0.00025321488,"about_ca_system_score_gemma":0.00092942175,"threshold_uncertainty_score":0.99708116},"labels":[],"label_agreement":null},{"id":"W4308748249","doi":"10.1007/s11116-022-10346-0","title":"Fair transport policies for older people: accessibility and affordability of public transport in Santiago, Chile","year":2022,"lang":"en","type":"article","venue":"Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; University of Toronto","funders":"Agencia Nacional de Investigación y Desarrollo; Centro de Desarrollo Urbano Sustentable","keywords":"Public transport; Subsidy; Disadvantage; Car ownership; Inequality; Public economics; Socioeconomic status; Public policy; Population; Transport policy; Business; Economics; Economic growth; Transport engineering; Political science; Environmental health; Engineering; Medicine","score_opus":0.02803624613591568,"score_gpt":0.31426221366574697,"score_spread":0.2862259675298313,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308748249","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.993484,0.00020686761,0.0018855379,0.00089735986,0.00014061293,0.00154181,0.0007952583,0.000102751415,0.0009457925],"genre_scores_gemma":[0.9985015,0.000044354496,0.00033494935,0.000060643,0.00004223737,0.00032641788,0.00059637,0.000023485196,0.000070042835],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971166,0.00017974722,0.0009305262,0.0006302621,0.0006128021,0.0005300099],"domain_scores_gemma":[0.9990576,0.00017549151,0.00024826624,0.0002607821,0.0001216354,0.00013626114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025191663,0.00022355372,0.00050518976,0.0002175149,0.0007163184,0.000017237555,0.00038753307,0.00012488426,0.00083066226],"category_scores_gemma":[0.00002666088,0.00024515725,0.00022418308,0.0010247322,0.0004976144,0.00072259764,0.0000041141298,0.00024231973,2.3433527e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013012256,0.0004968805,0.9570017,0.00027513335,0.000017179318,0.0000015274666,0.03557359,0.00008868109,0.00012094722,0.0046448573,0.000009085652,0.0016403389],"study_design_scores_gemma":[0.0011678066,0.00009045886,0.98675585,0.000013970846,0.00006219575,1.4380063e-7,0.0072012595,0.000026684871,0.00019479687,0.0035570266,0.00067849184,0.00025132374],"about_ca_topic_score_codex":0.012075445,"about_ca_topic_score_gemma":0.15179265,"teacher_disagreement_score":0.1397172,"about_ca_system_score_codex":0.00011038608,"about_ca_system_score_gemma":0.00044375437,"threshold_uncertainty_score":0.99972224},"labels":[],"label_agreement":null},{"id":"W4308866001","doi":"10.3390/su142214784","title":"Exploring the Choice of Bicycling and Walking in Rajshahi, Bangladesh: An Application of Integrated Choice and Latent Variable (ICLV) Models","year":2022,"lang":"en","type":"article","venue":"Sustainability","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Latent variable; Walkability; TRIPS architecture; Perception; Structural equation modeling; Transport engineering; Built environment; Endogeneity; Latent variable model; Recreation; Population; Geography; Psychology; Environmental health; Engineering; Econometrics; Economics; Political science; Medicine; Mathematics; Statistics","score_opus":0.057668437475853686,"score_gpt":0.310070318806601,"score_spread":0.2524018813307473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308866001","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978624,0.00014457435,0.00083913514,0.00028748126,0.00003658051,0.000626413,0.000011796613,0.000024167426,0.00016745411],"genre_scores_gemma":[0.99964994,0.000014023281,0.00013502857,0.000013757056,0.00002258735,0.00013328063,0.000008255242,0.000006073087,0.000017039332],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99839765,0.00045511505,0.00035130544,0.00032033658,0.00024917407,0.00022639935],"domain_scores_gemma":[0.99889493,0.0003935747,0.00013834445,0.00026941387,0.00024937128,0.00005437824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031728174,0.000086660315,0.00019694188,0.00007177277,0.00044881325,0.000024461064,0.00023545785,0.000034921017,0.000022668077],"category_scores_gemma":[0.00049071957,0.00007354464,0.000027451219,0.0007240081,0.00035725813,0.0006387695,0.000096396296,0.0002575373,1.2691934e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029818406,0.00014289186,0.9633513,0.00013691756,0.0000052355686,2.5149845e-7,0.017150233,0.0018573399,0.00020866988,0.0066027106,3.3140032e-7,0.010514296],"study_design_scores_gemma":[0.00030054452,0.000043060183,0.9034557,0.000009473589,0.000018895438,7.45274e-8,0.028459925,0.0084485505,0.00009856928,0.058529537,0.0005253259,0.000110350666],"about_ca_topic_score_codex":0.07387697,"about_ca_topic_score_gemma":0.0050913123,"teacher_disagreement_score":0.06878566,"about_ca_system_score_codex":0.00032942984,"about_ca_system_score_gemma":0.00025534656,"threshold_uncertainty_score":0.93229014},"labels":[],"label_agreement":null},{"id":"W4308890672","doi":"10.1123/jpah.2021-0812","title":"Correlates of Outdoor Time in Schoolchildren From Families Speaking Nonofficial Languages at Home: A Multisite Canadian Study","year":2022,"lang":"en","type":"article","venue":"Journal of Physical Activity and Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Trois-Rivières; Agricultural Research Institute of Ontario; University of British Columbia; University of Lethbridge","funders":"","keywords":"Socioeconomic status; Ethnic group; Demography; Psychology; Psychological intervention; Urbanization; Stratified sampling; Gerontology; Medicine; Population; Sociology","score_opus":0.018980216525427078,"score_gpt":0.3265124102677312,"score_spread":0.3075321937423041,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308890672","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985041,0.00015617687,0.0000015556421,0.0008612091,0.00007218341,0.00018703169,0.00007845191,0.000004338705,0.00013496193],"genre_scores_gemma":[0.9996702,0.000014005185,0.000015186301,0.000043247182,0.00022316561,0.0000011681597,0.0000025904533,0.0000045171755,0.000025910052],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988465,0.00027599378,0.0002152817,0.00012641658,0.00032555393,0.00021027452],"domain_scores_gemma":[0.9992892,0.00014052544,0.00028614906,0.00006146728,0.000031119685,0.00019153183],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007107619,0.00007356347,0.00037169745,0.000120920464,0.0004611277,0.00002027928,0.00014670975,0.000023754457,0.000081120976],"category_scores_gemma":[0.00002687335,0.00006646534,0.00007015202,0.00021241422,0.0000810699,0.00024299043,0.000039136856,0.0004002882,0.0000012725422],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010038919,0.00075713376,0.95450586,0.0000062926506,0.000020291547,0.000014821922,0.034181878,0.000036056324,0.00009305957,0.000018480965,0.000023178985,0.01024254],"study_design_scores_gemma":[0.00048205844,0.00030434655,0.99073046,0.000019125398,0.00001345591,3.1658206e-7,0.008070333,0.00009084241,0.000016975207,0.00013811635,0.00007103765,0.00006293269],"about_ca_topic_score_codex":0.71702206,"about_ca_topic_score_gemma":0.83201987,"teacher_disagreement_score":0.11499775,"about_ca_system_score_codex":0.0003544338,"about_ca_system_score_gemma":0.0004053958,"threshold_uncertainty_score":0.3546668},"labels":[],"label_agreement":null},{"id":"W4308891942","doi":"10.1123/jpah.2022-0310","title":"Associations Between Parent’s Perceived Neighborhood Environment and Objectively Measured Walkability With Their Children’s Physical Activity","year":2022,"lang":"en","type":"article","venue":"Journal of Physical Activity and Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; University of Alberta","funders":"Canadian Institutes of Health Research","keywords":"Walkability; Socioeconomic status; Physical activity; Psychology; Built environment; Demography; Level design; Physical activity level; Multilevel model; Environmental health; Medicine; Population; Physical therapy; Mathematics","score_opus":0.04667367239147876,"score_gpt":0.31542162008363417,"score_spread":0.26874794769215543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308891942","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948645,0.00003985547,0.00019349367,0.004194889,0.000030482015,0.00033713228,0.00023427978,0.000016212442,0.00008911309],"genre_scores_gemma":[0.9994104,0.000032170363,0.000026718102,0.000041315194,0.00045558848,0.000008025951,0.0000046583755,0.000009646197,0.000011462064],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976551,0.00076551735,0.00017981851,0.00030879746,0.0007527783,0.00033799102],"domain_scores_gemma":[0.9986133,0.00032076758,0.0005492545,0.00012335711,0.000056933004,0.00033639732],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0011771946,0.000173367,0.0006472893,0.000046568843,0.0015533712,0.000055956312,0.00015943809,0.00004127377,0.000015486781],"category_scores_gemma":[0.000032126223,0.00013294435,0.00015500891,0.00016491933,0.00032398643,0.00056844414,0.00006177233,0.00082125113,2.603343e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001486441,0.0028524955,0.937674,0.000015051781,0.00013198417,0.0000010151136,0.016611278,0.000019477451,0.0002786816,0.00017477636,0.000008814524,0.042083796],"study_design_scores_gemma":[0.00058210175,0.00081055204,0.99510986,0.00000953161,0.00006600017,8.637385e-7,0.00073918677,0.000061469014,0.000074183576,0.0023680995,0.000037886584,0.00014027982],"about_ca_topic_score_codex":0.0027510184,"about_ca_topic_score_gemma":0.0006077872,"teacher_disagreement_score":0.05743586,"about_ca_system_score_codex":0.00056950125,"about_ca_system_score_gemma":0.0005159461,"threshold_uncertainty_score":0.99974644},"labels":[],"label_agreement":null},{"id":"W4309076549","doi":"10.1080/23748834.2022.2133573","title":"Transit justice: community perceptions and anticipations of a new light rail transit line in Prince George’s County, Maryland, United States","year":2022,"lang":"en","type":"article","venue":"Cities & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Gentrification; Idealism; Built environment; Urban sprawl; Urban planning; Political science; Sociology; Economic growth; Public administration; Engineering; Civil engineering","score_opus":0.04686974763561152,"score_gpt":0.3474793310434787,"score_spread":0.3006095834078672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309076549","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98093456,0.00052956416,0.00063531817,0.016260397,0.000101419224,0.00038934304,0.00047720628,0.00004753554,0.0006246581],"genre_scores_gemma":[0.99653125,0.0009242517,0.00012016403,0.0009971546,0.000044398592,0.000019622687,0.0003443946,0.000009123049,0.0010096157],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9981683,0.00063411775,0.0004232326,0.00015110667,0.0002991642,0.00032408198],"domain_scores_gemma":[0.9992813,0.00018241077,0.00010811632,0.00018787153,0.000068371155,0.00017193408],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0013285538,0.000102717524,0.0002678237,0.00017195188,0.0016703724,0.000026995216,0.00023183455,0.000043189797,0.0005837834],"category_scores_gemma":[0.000025170155,0.000111456255,0.00004187861,0.0006850565,0.00030488378,0.00017151734,0.000025656593,0.0004595703,5.9967584e-7],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014990939,0.00063416065,0.28958434,0.0007283797,0.000021575977,0.0000035716218,0.70041263,0.00094839494,0.000044045995,0.0034075158,0.0022291502,0.0018363171],"study_design_scores_gemma":[0.0012948994,0.00028591257,0.6756866,0.0000905153,0.000075661,8.757053e-7,0.2662496,0.00035338514,0.000008507861,0.0041672303,0.051528994,0.00025782752],"about_ca_topic_score_codex":0.12939818,"about_ca_topic_score_gemma":0.21999604,"teacher_disagreement_score":0.434163,"about_ca_system_score_codex":0.0001598647,"about_ca_system_score_gemma":0.00077335455,"threshold_uncertainty_score":0.9996293},"labels":[],"label_agreement":null},{"id":"W4309090958","doi":"10.3390/ijerph192114328","title":"Neighborhood Characteristics Associated with Running in Metro Vancouver: A Preliminary Analysis","year":2022,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"Social Sciences and Humanities Research Council; Social Sciences and Humanities Research Council of Canada","keywords":"Popularity; Population; Space (punctuation); Level design; Geography; Built environment; Psychology; Gerontology; Demography; Computer science; Social psychology; Sociology; Medicine; Ecology","score_opus":0.05240496845382483,"score_gpt":0.369139168556484,"score_spread":0.3167342001026592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309090958","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9943557,0.000288099,0.000094228555,0.004568843,0.00012567072,0.00009916338,0.00008580635,0.0000033584977,0.00037915667],"genre_scores_gemma":[0.99924165,0.00024116527,0.000043942426,0.00021179704,0.0000843173,0.0000065301315,0.00003666414,0.0000051874863,0.00012871683],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99672645,0.0005188953,0.0003870644,0.00014487827,0.0018575351,0.0003651682],"domain_scores_gemma":[0.99902624,0.00025749108,0.0002845359,0.0000615493,0.00007866645,0.0002915109],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005320743,0.000059946247,0.00019509246,0.0006734267,0.0004289263,0.00009333947,0.00040221514,0.000025023875,0.00079909025],"category_scores_gemma":[0.00019656811,0.00005382906,0.000053929984,0.0006330527,0.00022321203,0.0003845423,0.00009859525,0.0005725166,4.1086028e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015525923,0.000787047,0.9884839,0.0000016513374,0.00020005525,0.00007737559,0.0023695428,0.000009466092,0.000003165624,0.00010934203,0.000112788744,0.0076903845],"study_design_scores_gemma":[0.0004982697,0.0006397319,0.9827319,0.00000878849,0.00000872256,9.0013856e-7,0.011256632,0.00008445076,5.385881e-7,0.00032632364,0.004391753,0.000052037576],"about_ca_topic_score_codex":0.00075453677,"about_ca_topic_score_gemma":0.0056225616,"teacher_disagreement_score":0.00888709,"about_ca_system_score_codex":0.0013266923,"about_ca_system_score_gemma":0.0006353611,"threshold_uncertainty_score":0.8749478},"labels":[],"label_agreement":null},{"id":"W4309208125","doi":"10.5198/jtlu.2022.2234","title":"Factors influencing subjective walkability: Results from built environment audit data","year":2022,"lang":"en","type":"article","venue":"Journal of Transport and Land Use","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Public Health Agency of Canada; McGill University","funders":"","keywords":"Walkability; Built environment; Multilevel model; Transport engineering; Audit; Level design; Psychology; Computer science; Business; Engineering; Statistics; Civil engineering; Multimedia; Mathematics","score_opus":0.07226371630500636,"score_gpt":0.2894125854193368,"score_spread":0.21714886911433043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309208125","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99758583,0.0003047167,0.000055234275,0.00040326116,0.00025545503,0.00011111002,0.0011634723,0.000011620213,0.000109293185],"genre_scores_gemma":[0.99920166,0.00017311775,0.00010023969,0.000047491343,0.00018065624,9.3633867e-7,0.00015283386,0.0000074772797,0.00013561419],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99827015,0.000118993594,0.00053729606,0.00027858713,0.0005932232,0.00020174407],"domain_scores_gemma":[0.99892825,0.000230072,0.00031819646,0.0003128835,0.000035266734,0.00017530912],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012137652,0.00011963225,0.00028155564,0.00006198015,0.0005200266,0.000043509583,0.00047746755,0.000053287105,0.00042284522],"category_scores_gemma":[0.0000591233,0.00009200318,0.00009344981,0.000111198504,0.00014421248,0.0008502439,0.000041133153,0.0003713395,3.957305e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029815378,0.00010920882,0.98434377,0.0000039340403,0.000056427878,0.000041352683,0.014480123,0.00005760239,0.000040249302,0.0000062006543,0.00007860195,0.00048437848],"study_design_scores_gemma":[0.00070774846,0.0000701467,0.9544906,0.000010769407,0.00011225858,5.3667793e-7,0.00358024,0.000007723066,0.00002465294,0.00031240607,0.04056562,0.00011726577],"about_ca_topic_score_codex":0.017638573,"about_ca_topic_score_gemma":0.008944796,"teacher_disagreement_score":0.04048702,"about_ca_system_score_codex":0.00009761174,"about_ca_system_score_gemma":0.00019427543,"threshold_uncertainty_score":0.98890305},"labels":[],"label_agreement":null},{"id":"W4309623088","doi":"10.1080/01441647.2022.2147240","title":"A systematic scoping review of methods for estimating link-level bicycling volumes","year":2022,"lang":"en","type":"article","venue":"Transport Reviews","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Estimation; Transport engineering; Variable (mathematics); Computer science; Data collection; Travel survey; Operations research; Travel behavior; Engineering; Statistics","score_opus":0.1803751238194014,"score_gpt":0.47850226611650326,"score_spread":0.29812714229710185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309623088","genre_codex":"review","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00091251294,0.6826096,0.30390948,0.00046539793,0.0006279346,0.010372088,0.000050053106,0.00009780144,0.00095508306],"genre_scores_gemma":[0.011530817,0.102929905,0.87856203,0.0009952227,0.00039189815,0.0045749056,0.00012542773,0.00006328361,0.00082652795],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.99580526,0.0009784198,0.002131569,0.0003842194,0.0003442689,0.00035628816],"domain_scores_gemma":[0.9978547,0.00051542325,0.0009819139,0.00041932808,0.00012454085,0.000104107006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.016274665,0.00019578739,0.0015753993,0.00007049963,0.0007106601,0.000013530472,0.0005801136,0.000048885282,0.00063593575],"category_scores_gemma":[0.0008882165,0.00017189323,0.00067765766,0.00066203927,0.00011537558,0.00019627715,0.000016065822,0.0001959771,0.0000031204274],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000069206053,0.00006225579,0.0034440209,0.9454333,0.0000353414,0.0000011104191,0.002891391,0.000013211422,0.00003923711,0.0003258184,0.00007735474,0.04766999],"study_design_scores_gemma":[0.0003931821,0.00008477,0.0005235013,0.9746207,0.0011928516,0.0000013656385,0.00056976726,0.00069229654,0.00005467441,0.000761162,0.020491824,0.00061388005],"about_ca_topic_score_codex":0.00031398862,"about_ca_topic_score_gemma":0.00027938143,"teacher_disagreement_score":0.5796797,"about_ca_system_score_codex":0.000076284436,"about_ca_system_score_gemma":0.00034897815,"threshold_uncertainty_score":0.7009602},"labels":[],"label_agreement":null},{"id":"W4310050159","doi":"10.2196/39322","title":"Analyzing Person-Place Interactions During Walking Episodes: Innovative Ambulatory Assessment Approach of Walking-Triggered e-Diaries","year":2022,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Deutsche Forschungsgemeinschaft","keywords":"Accelerometer; Physical medicine and rehabilitation; Global Positioning System; Ambulatory; Residence; Movement (music); Preferred walking speed; Applied psychology; Computer science; Psychology; Simulation; Medicine; Demography; Telecommunications","score_opus":0.06965627806683494,"score_gpt":0.42066107809083453,"score_spread":0.3510048000239996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310050159","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9651135,0.00011552771,0.0005128518,0.00029505277,0.00015651059,0.00071423233,0.000054290547,0.000068092704,0.032969926],"genre_scores_gemma":[0.99827313,0.000012870088,0.00040482546,0.000007761777,0.000087379136,0.00040638386,0.000044433877,0.000016443408,0.000746754],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9953026,0.0015437846,0.00049197295,0.0003706414,0.0015821239,0.00070887676],"domain_scores_gemma":[0.9979412,0.00060585845,0.00029122154,0.0002882983,0.0007542888,0.00011916273],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005085216,0.00015839841,0.00032935006,0.0007455641,0.0037547753,0.00015090375,0.00063612673,0.000059694856,0.0009535619],"category_scores_gemma":[0.00014708657,0.00015673533,0.00012841048,0.0030170013,0.00080833014,0.0013289296,0.00027538088,0.0014615224,0.0000062308254],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028743196,0.0012547802,0.2620571,0.0005073343,0.00029713914,0.000012979264,0.70948935,0.00022078826,0.0025723947,0.016093494,0.0011045628,0.0061026467],"study_design_scores_gemma":[0.00074681325,0.0001523239,0.47180185,0.00007959452,0.000013865219,0.0000013380252,0.520259,0.0012759301,0.0012375462,0.0010498257,0.0030373468,0.0003445182],"about_ca_topic_score_codex":0.0012381806,"about_ca_topic_score_gemma":0.00027096146,"teacher_disagreement_score":0.20974477,"about_ca_system_score_codex":0.0012999736,"about_ca_system_score_gemma":0.00072438613,"threshold_uncertainty_score":0.9999597},"labels":[],"label_agreement":null},{"id":"W4310083330","doi":"10.7870/cjcmh-2022-014","title":"A Scoping Review of the Definition of Walkability and its Relationship with Depression and Anxiety Symptoms","year":2022,"lang":"en","type":"review","venue":"Canadian Journal of Community Mental Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Public Health Agency of Canada; Dalhousie University; University of Ottawa","funders":"","keywords":"Walkability; Anxiety; Psychology; Depression (economics); Built environment; Mental health; Clinical psychology; Environmental health; Medicine; Psychiatry; Engineering; Civil engineering","score_opus":0.13997664270809726,"score_gpt":0.3940397374780327,"score_spread":0.2540630947699355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310083330","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03188084,0.9662046,5.891501e-7,0.00032769388,0.00008459886,0.000984374,0.0001264728,0.0000017032203,0.0003891556],"genre_scores_gemma":[0.13138966,0.8684413,0.000022998174,0.00009546306,0.000012177675,0.0000056078657,0.000022704775,0.0000069347034,0.000003153139],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.995389,0.003220947,0.00083243183,0.00007613303,0.000305775,0.00017574732],"domain_scores_gemma":[0.9975004,0.0004292838,0.0013762505,0.00023754133,0.000097998185,0.00035847994],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.004657391,0.00012472158,0.00085677824,0.00009634306,0.001565978,0.000013734235,0.00039065757,0.000075164404,0.00008248263],"category_scores_gemma":[0.0002524013,0.000085603504,0.00014108152,0.00039273812,0.00033923538,0.00017059679,0.000038549224,0.00096446666,4.7578673e-8],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020887763,0.0001228961,0.15855026,0.49360114,0.00007384138,0.0000013753114,0.016780626,1.357151e-7,4.7872582e-8,0.0008981079,0.00010015564,0.32985052],"study_design_scores_gemma":[0.00037135434,0.0003065732,0.037376024,0.8966523,0.0003940484,0.000057549525,0.0025871145,2.3558457e-7,4.697777e-7,0.0006734657,0.06134351,0.0002373952],"about_ca_topic_score_codex":0.026155373,"about_ca_topic_score_gemma":0.20456374,"teacher_disagreement_score":0.4030511,"about_ca_system_score_codex":0.00045367415,"about_ca_system_score_gemma":0.007007207,"threshold_uncertainty_score":0.99973387},"labels":[],"label_agreement":null},{"id":"W4310121781","doi":"10.1016/j.jth.2022.101537","title":"Policy influencer support for active transportation policy in two Canadian provinces: Implications for advocacy","year":2022,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Alberta Health Services; University of Alberta","funders":"Alberta Heritage Foundation for Medical Research; Canadian Institutes of Health Research; Alberta Innovates - Health Solutions","keywords":"Influencer marketing; Respondent; Government (linguistics); Public policy; Descriptive statistics; Business; Health policy; Demographics; Public health; Public relations; Marketing; Political science; Economic growth; Medicine; Economics; Nursing; Sociology","score_opus":0.033142723552336883,"score_gpt":0.4081129801637017,"score_spread":0.3749702566113648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310121781","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8979987,0.00018074062,0.0019789636,0.09186274,0.00037483743,0.0032805167,0.003229635,0.00003329106,0.0010606026],"genre_scores_gemma":[0.9952561,0.000109822744,0.00090879365,0.0024815146,0.0005622815,0.00026413158,0.00022721243,0.000024878127,0.00016523621],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99735516,0.000094634655,0.0011275226,0.00026826508,0.0003821305,0.0007722624],"domain_scores_gemma":[0.99810904,0.00011490328,0.0006852504,0.00016035668,0.00029878807,0.00063167256],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019516606,0.00015943203,0.0004426618,0.00081114337,0.0011191927,0.000021914604,0.0005065774,0.000057666864,0.00009206916],"category_scores_gemma":[0.00006224755,0.00016732486,0.00030174735,0.0010431526,0.00012876779,0.0005948511,0.0000016571629,0.00034529428,2.8799468e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007894459,0.00045870096,0.8863912,0.00021629412,0.000054603686,0.000009141116,0.059282143,0.0012204471,0.000036614198,0.024666194,0.00049625005,0.026378933],"study_design_scores_gemma":[0.001677574,0.0004216829,0.89096546,0.000026220432,0.0000341452,0.0000019696668,0.0040743877,0.0000047421145,0.000013728596,0.013168742,0.089434005,0.00017735304],"about_ca_topic_score_codex":0.63861376,"about_ca_topic_score_gemma":0.91335934,"teacher_disagreement_score":0.27474558,"about_ca_system_score_codex":0.0025431553,"about_ca_system_score_gemma":0.042235095,"threshold_uncertainty_score":0.96319455},"labels":[],"label_agreement":null},{"id":"W4310131917","doi":"10.12688/f1000research.127294.1","title":"Dynamic geographical accessibility assessments to improve health equity: protocol for a test case in Cali, Colombia","year":2022,"lang":"en","type":"preprint","venue":"F1000Research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; Bruyère; University of Ottawa","funders":"Universitat Autònoma de Barcelona; Secretaría de Salud; Pan American Health Organization; Universidad del Valle","keywords":"Residence; Equity (law); Business; Geography; Economics; Demographic economics; Political science","score_opus":0.15136032313247122,"score_gpt":0.574899950254736,"score_spread":0.42353962712226473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310131917","genre_codex":"protocol","genre_gemma":"protocol","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"protocol","genre_consensus":"protocol","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36757392,0.00003428581,0.00066272746,0.0064683417,0.0005824492,0.6175094,0.0034764041,0.00029995645,0.003392505],"genre_scores_gemma":[0.4531457,0.000004111302,0.0012170738,0.00023465091,0.00011499679,0.5439666,0.00016534497,0.000049535283,0.0011019808],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9910642,0.0014122606,0.0012459614,0.002058148,0.0022485007,0.0019709594],"domain_scores_gemma":[0.9957726,0.0011593285,0.00033877284,0.0012924094,0.0004462851,0.0009905944],"candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.015033822,0.00042087233,0.000870612,0.00062157447,0.0015334178,0.0007220142,0.0024946218,0.00051540666,0.0022998406],"category_scores_gemma":[0.0015159848,0.0004382771,0.00034498196,0.0016768378,0.0006117698,0.0002877939,0.0036893138,0.0025938223,0.00000813306],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012419282,0.0035345596,0.9405054,0.0037122665,0.000059560753,0.0005591179,0.0034541306,0.000042157353,0.000041471936,0.0003620332,0.004663658,0.041823737],"study_design_scores_gemma":[0.005365585,0.0028541638,0.85838085,0.00053601206,0.000041423908,0.000005032056,0.004376172,0.004830947,0.000026157522,0.040181477,0.08161445,0.0017877239],"about_ca_topic_score_codex":0.086288735,"about_ca_topic_score_gemma":0.24135898,"teacher_disagreement_score":0.15507025,"about_ca_system_score_codex":0.003568444,"about_ca_system_score_gemma":0.008711036,"threshold_uncertainty_score":0.9998069},"labels":[],"label_agreement":null},{"id":"W4310155356","doi":"10.1061/jtepbs.teeng-7350","title":"Inferring Trip Destination Purposes for Trip Records Collected through Smartphone Apps","year":2022,"lang":"en","type":"article","venue":"Journal of Transportation Engineering Part A Systems","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hudbay Minerals (Canada); University of Toronto","funders":"","keywords":"TRIPS architecture; Computer science; Global Positioning System; Multinomial logistic regression; Discrete choice; Random forest; Travel behavior; Machine learning; Inference; Gradient boosting; Decision tree; Tree (set theory); Artificial intelligence; Transport engineering; Engineering; Mathematics","score_opus":0.03276373654533908,"score_gpt":0.28151617127757406,"score_spread":0.24875243473223496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310155356","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9132465,0.00097136095,0.07950962,0.00019378196,0.0046462948,0.000899875,0.00012106977,0.00011795403,0.00029354185],"genre_scores_gemma":[0.9974095,0.000038256036,0.0012578816,0.000012744739,0.00053069805,0.0001435098,0.00006220842,0.00002362916,0.00052155025],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978928,0.000096593896,0.00096530956,0.00015765229,0.00062210317,0.00026555665],"domain_scores_gemma":[0.9986662,0.00021734128,0.00056717655,0.00009359625,0.00035443294,0.00010119963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015025587,0.00013786468,0.00036161667,0.0001935721,0.00048832595,0.00007247002,0.00023258246,0.00006741167,0.0000601366],"category_scores_gemma":[0.00013220122,0.00014607106,0.00020281227,0.00071818137,0.000027668857,0.00054813165,0.000001873705,0.00023622422,4.932635e-7],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011896921,0.00083127356,0.24200827,0.0013351201,0.0005642129,0.000103323255,0.06378019,0.66982377,0.0031558818,0.007820687,0.007451475,0.0019360924],"study_design_scores_gemma":[0.0052761245,0.00076889416,0.18748902,0.00045588033,0.00042067718,0.000016888893,0.009095841,0.006746316,0.0006914135,0.00027562387,0.787942,0.00082132616],"about_ca_topic_score_codex":0.00042330386,"about_ca_topic_score_gemma":0.0004184766,"teacher_disagreement_score":0.7804905,"about_ca_system_score_codex":0.00027065777,"about_ca_system_score_gemma":0.00030681412,"threshold_uncertainty_score":0.5956605},"labels":[],"label_agreement":null},{"id":"W4310240046","doi":"10.5334/bc.249","title":"Climate action in urban mobility: personal and political transformations","year":2022,"lang":"en","type":"article","venue":"Buildings and Cities","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Transformative learning; Transformational leadership; Greenhouse gas; Climate change; Sustainability; Action plan; Action (physics); Politics; Environmental planning; Business; Environmental resource management; Political science; Public relations; Sociology; Geography; Environmental science; Economics; Ecology; Management","score_opus":0.024409248412576884,"score_gpt":0.2926067034547324,"score_spread":0.26819745504215553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310240046","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9930557,0.000312951,0.000013496376,0.0014073792,0.000054046566,0.00009854274,0.00004094375,0.000027138729,0.0049898075],"genre_scores_gemma":[0.99954814,0.00009359805,0.0000241315,0.00013042238,0.000043212687,0.000026820535,0.000004966092,0.0000025661932,0.00012617232],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993588,0.000043615968,0.00010912404,0.00011955307,0.00014722135,0.00022168456],"domain_scores_gemma":[0.99984646,0.00003779269,0.00001636747,0.00002696883,0.000010669733,0.0000617637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037659658,0.000047374695,0.00007746661,0.000048667764,0.0007303977,0.000059162474,0.000042410047,0.000024308803,0.00022103445],"category_scores_gemma":[0.000008449451,0.00004898463,0.000021890852,0.00009649528,0.0002418064,0.00026927554,0.000015267635,0.0001091945,1.9836098e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032505777,0.00006594627,0.72425455,0.00006462981,0.000003878459,0.000001573658,0.052566145,6.4815015e-7,0.000055504122,0.21838161,0.000103179125,0.004469828],"study_design_scores_gemma":[0.00050227204,0.000073250594,0.72295165,0.000016004198,0.000021403475,0.0000024432688,0.20856953,0.00018226747,0.00005452373,0.022023136,0.045375627,0.0002279164],"about_ca_topic_score_codex":0.0021139411,"about_ca_topic_score_gemma":0.00094823353,"teacher_disagreement_score":0.19635847,"about_ca_system_score_codex":0.000054658805,"about_ca_system_score_gemma":0.00003430613,"threshold_uncertainty_score":0.5617702},"labels":[],"label_agreement":null},{"id":"W4310249261","doi":"10.1016/j.socscimed.2022.115574","title":"Understanding perceptions of neighborhood health and non-communicable disease risk in urban contexts in Ghana","year":2022,"lang":"en","type":"article","venue":"Social Science & Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; General Electric (Canada); University of Toronto","funders":"University of Toronto Mississauga","keywords":"Non-communicable disease; Perception; Public health; Environmental health; Geography; Socioeconomics; Sociology; Medicine; Psychology","score_opus":0.0563264439114372,"score_gpt":0.3563107850948473,"score_spread":0.2999843411834101,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310249261","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9868415,0.00056330924,0.000112277754,0.00562204,0.0001358063,0.00031448485,0.000017797902,0.000013929546,0.006378862],"genre_scores_gemma":[0.99950045,0.00009363839,0.000006966276,0.000260652,0.00007153108,0.000014435681,0.0000047278136,0.0000037179595,0.00004388491],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99800885,0.00030618688,0.00032097212,0.00026399584,0.0007006127,0.00039939285],"domain_scores_gemma":[0.99930304,0.00010545991,0.00015439827,0.00014263632,0.000030156498,0.00026432794],"candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0040786853,0.00007458528,0.00027597678,0.00022298457,0.0019795261,0.000016297046,0.0004400062,0.00002315682,0.00026074835],"category_scores_gemma":[0.00026814057,0.00007103872,0.00002902974,0.001905685,0.0028742382,0.00028900796,0.00007497449,0.00030300734,2.1920393e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001841429,0.000071213035,0.79288507,0.000008496541,8.3995496e-7,0.0000015126184,0.20124684,0.0000015555659,0.000015320096,0.0050910334,0.00006817797,0.00059153914],"study_design_scores_gemma":[0.0006708815,0.00007307431,0.76123434,0.000042216878,0.000005989592,3.228939e-8,0.22861312,0.000096178235,2.4254444e-7,0.0090706,0.00011584419,0.00007746942],"about_ca_topic_score_codex":0.022290615,"about_ca_topic_score_gemma":0.016599901,"teacher_disagreement_score":0.031650715,"about_ca_system_score_codex":0.0008267546,"about_ca_system_score_gemma":0.0010694705,"threshold_uncertainty_score":0.99983937},"labels":[],"label_agreement":null},{"id":"W4310497803","doi":"10.34096/rtt.i26.9206","title":"Influência de variáveis climáticas no fluxo de ciclistas em Belo Horizonte","year":2022,"lang":"pt","type":"article","venue":"Revista Transporte y Territorio","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Physics; Humanities; Environmental science; Philosophy","score_opus":0.022102861086216345,"score_gpt":0.2932672859861832,"score_spread":0.27116442489996684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310497803","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.978059,0.005251858,0.0009014522,0.0015037468,0.004330517,0.0014583375,0.00216033,0.00050114945,0.0058336416],"genre_scores_gemma":[0.97845685,0.000604256,0.00025732227,0.00066757214,0.00335844,0.00018236802,0.000423929,0.00014083907,0.015908392],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99160194,0.0009574878,0.0017832782,0.0015219154,0.0018645194,0.0022708504],"domain_scores_gemma":[0.9965647,0.00022499029,0.000601557,0.0012380129,0.00026520365,0.0011055322],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0037128432,0.00085315394,0.0012543045,0.00021979786,0.0028248595,0.0006319097,0.0021452098,0.00048664398,0.0080851745],"category_scores_gemma":[0.00009761299,0.0009971296,0.0010671795,0.0014643823,0.00047756225,0.0007115436,0.000108502674,0.0019622745,0.00014251331],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00062363624,0.0015875648,0.9118175,0.001081923,0.00042556855,0.0012105518,0.052751705,0.000046426987,0.00063807424,0.003377341,0.020436183,0.00600356],"study_design_scores_gemma":[0.0010794472,0.00044663163,0.19117431,0.00020574566,0.00079245615,0.0000064423884,0.0054582865,0.00011986404,0.000042515087,0.00026636242,0.79925793,0.0011500032],"about_ca_topic_score_codex":0.009634915,"about_ca_topic_score_gemma":0.01047759,"teacher_disagreement_score":0.77882177,"about_ca_system_score_codex":0.0022939793,"about_ca_system_score_gemma":0.0025726277,"threshold_uncertainty_score":0.9992479},"labels":[],"label_agreement":null},{"id":"W4310503362","doi":"10.1371/journal.pone.0278596","title":"The effect of neighborhood walkability on changes in physical activity and sedentary behavior during a 12-week pedometer-facilitated intervention","year":2022,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta; University of Calgary","funders":"Canadian Institutes of Health Research","keywords":"Pedometer; Walkability; Psychological intervention; Transtheoretical model; Physical activity; Medicine; Sedentary behavior; Intervention (counseling); Psychology; Gerontology; Physical therapy; Demography","score_opus":0.03488156577715234,"score_gpt":0.2841158929064507,"score_spread":0.24923432712929833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310503362","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988494,0.000034164485,3.940435e-7,0.00025412824,0.000038260325,0.0006532158,0.000044402186,0.000028047234,0.00009797919],"genre_scores_gemma":[0.9996417,0.0000066927887,0.0000024359342,0.0000023055734,0.000030570325,0.00022551125,0.000005496896,0.0000049779646,0.00008028658],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99839723,0.0006273191,0.000120572455,0.0002375365,0.00042955653,0.00018780059],"domain_scores_gemma":[0.9993411,0.0003607864,0.000076032884,0.00016285552,0.000016907052,0.000042353],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008310247,0.000087216366,0.00021418672,0.000047263653,0.00039850583,0.000020744237,0.00015942975,0.00002487277,0.00007284774],"category_scores_gemma":[0.00010100328,0.00006902376,0.00007081364,0.00020644936,0.00019980963,0.00012256626,0.00006963258,0.0002304652,6.6556674e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005668639,0.0051152823,0.9696612,0.00013909106,0.00003240955,0.0000034962848,0.0039649564,5.6827025e-7,0.014766339,0.0000061807073,5.1029343e-7,0.0057431334],"study_design_scores_gemma":[0.00065828825,0.0011670215,0.96946734,0.00003419197,0.00007122065,3.9097642e-8,0.0006962392,0.000033308454,0.027707484,0.00008836953,0.0000020252332,0.00007449264],"about_ca_topic_score_codex":0.0023249853,"about_ca_topic_score_gemma":0.007722163,"teacher_disagreement_score":0.0129411435,"about_ca_system_score_codex":0.00012936513,"about_ca_system_score_gemma":0.000013235671,"threshold_uncertainty_score":0.43091482},"labels":[],"label_agreement":null},{"id":"W4311046498","doi":"10.21203/rs.3.rs-2315989/v1","title":"Assessing the Impacts of the COVID-19 Pandemic on Subway Ridership and on the Interactions with other Transportation Modes","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Institut de Valorisation des Données; Canada Research Chairs","keywords":"Timeline; Transport engineering; Coronavirus disease 2019 (COVID-19); Pandemic; Bayesian probability; Cycling; Autoregressive model; Econometrics; Modal shift; Computer science; Statistics; Business; Public transport; Geography; Engineering; Economics; Mathematics","score_opus":0.29344550529379676,"score_gpt":0.5075791205008687,"score_spread":0.21413361520707197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311046498","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9779515,0.00012763795,0.00005329255,0.015167222,0.00008197917,0.0012094339,0.00013228983,0.000032045104,0.005244552],"genre_scores_gemma":[0.99891,0.00008569509,0.000005038175,0.00027924468,0.00009575006,0.00015520201,0.000018506773,0.000017143102,0.0004333893],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9956059,0.0020228564,0.00022193392,0.00036949865,0.0014415479,0.0003382704],"domain_scores_gemma":[0.9959739,0.0029929986,0.00018183686,0.0005732164,0.00016080543,0.000117278956],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0050132214,0.0001447438,0.00016619648,0.00010198555,0.0021889417,0.0003155622,0.000736292,0.00010225832,0.00068816036],"category_scores_gemma":[0.00064839196,0.000064787055,0.000119337805,0.00050288707,0.0011191217,0.00017145522,0.00005374727,0.0018707566,0.0000011302609],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016379512,0.00011887389,0.9563348,0.00023712384,0.00005145694,0.0000017271695,0.035367213,0.0012081675,0.00006971992,0.005684701,0.00034032384,0.00042207504],"study_design_scores_gemma":[0.00024154942,0.00012445427,0.89964914,0.00048954925,0.000044296332,2.3670269e-7,0.078598715,0.00009208401,0.000109900444,0.011145341,0.009326383,0.0001783356],"about_ca_topic_score_codex":0.021372816,"about_ca_topic_score_gemma":0.0778626,"teacher_disagreement_score":0.05668567,"about_ca_system_score_codex":0.00038328726,"about_ca_system_score_gemma":0.0012982737,"threshold_uncertainty_score":0.99911004},"labels":[],"label_agreement":null},{"id":"W4311430857","doi":"10.1016/j.landurbplan.2022.104651","title":"Depression among middle-aged adults in Japan: The role of the built environment design","year":2022,"lang":"en","type":"article","venue":"Landscape and Urban Planning","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Walkability; Odds; Depressive symptoms; Neighbourhood (mathematics); Odds ratio; Poison control; Logistic regression; Injury prevention; Built environment; Depression (economics); Suicide prevention; Medicine; Demography; Cross-sectional study; Public health; Human factors and ergonomics; Occupational safety and health; Environmental health; Psychology; Psychiatry; Physical activity; Cognition; Physical therapy","score_opus":0.017313363522662478,"score_gpt":0.22444771305101233,"score_spread":0.20713434952834986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311430857","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949567,0.0027598378,0.000016236123,0.00008106496,0.000059875445,0.0002556475,0.0000060988386,0.000011273819,0.001853323],"genre_scores_gemma":[0.99959093,0.00001554762,0.000017853177,0.00003845369,0.000045052228,0.000031678595,0.0000038232256,0.000004952238,0.00025168664],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989604,0.00024766917,0.00015860962,0.00017112686,0.0002806695,0.00018154907],"domain_scores_gemma":[0.9995711,0.000135496,0.000091828944,0.00016326076,0.0000041075973,0.00003423138],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006322779,0.000071127586,0.00010340092,0.000025585427,0.0007352621,0.000021571537,0.00029384426,0.000035558067,0.00013685336],"category_scores_gemma":[0.000016421263,0.00004285651,0.00003819616,0.00014297981,0.00011729059,0.00008538819,0.00008409821,0.00021014069,3.879701e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055172786,0.000031714,0.96962553,0.00000420845,0.0000042715074,0.0000016696398,0.02910613,0.0004274421,0.00009466225,0.000018400133,0.00019327571,0.0004375149],"study_design_scores_gemma":[0.0002688225,0.000018532326,0.9821866,0.00003712964,0.000011006968,2.2587622e-7,0.014370734,0.00049141067,0.00018974346,0.0002489539,0.0021094498,0.000067379304],"about_ca_topic_score_codex":0.0006389591,"about_ca_topic_score_gemma":0.00024694935,"teacher_disagreement_score":0.014735398,"about_ca_system_score_codex":0.00001721653,"about_ca_system_score_gemma":0.000021952477,"threshold_uncertainty_score":0.56551164},"labels":[],"label_agreement":null},{"id":"W4311791543","doi":"10.3390/ijerph192416844","title":"Application of Machine Learning to Child Mode Choice with a Novel Technique to Optimize Hyperparameters","year":2022,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; Université Laval; Polytechnique Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Social Sciences and Humanities Research Council; Social Sciences and Humanities Research Council of Canada","keywords":"Hyperparameter; Hyperparameter optimization; Machine learning; Computer science; Artificial intelligence; Logistic regression; Mode choice; Metaheuristic; Support vector machine; Engineering; Transport engineering","score_opus":0.04772569429657863,"score_gpt":0.38842514073110496,"score_spread":0.3406994464345263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311791543","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94071865,0.00013470971,0.029603532,0.028299747,0.00004689085,0.00052965776,0.00013750374,0.000005899242,0.0005233971],"genre_scores_gemma":[0.99577576,0.00008562614,0.0035298306,0.00039288774,0.00007226141,0.000042179952,0.000013019815,0.000006580675,0.000081825245],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977541,0.00019776005,0.0002783036,0.00014695048,0.0013750691,0.00024782695],"domain_scores_gemma":[0.9991473,0.0001427728,0.00015436982,0.00006883133,0.00007698659,0.00040976502],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026923013,0.000053476666,0.00012307396,0.00031386028,0.0003942204,0.00004705518,0.00045085826,0.000017777773,0.00014631772],"category_scores_gemma":[0.00014820854,0.000047344103,0.000028567014,0.00024713983,0.00014410054,0.0002472863,0.00011555724,0.00044846506,7.441627e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013779297,0.0037181398,0.81691456,0.00003279611,0.00018232869,0.00001550335,0.01721816,0.0061352067,0.009040915,0.0020986032,0.00022713812,0.14303873],"study_design_scores_gemma":[0.0029022768,0.0068976935,0.45693213,0.00012060308,0.000009010158,0.00008518246,0.018811837,0.0016963434,0.0005942223,0.0008442359,0.5106772,0.00042924238],"about_ca_topic_score_codex":0.004065028,"about_ca_topic_score_gemma":0.000522299,"teacher_disagreement_score":0.5104501,"about_ca_system_score_codex":0.0005271517,"about_ca_system_score_gemma":0.000266901,"threshold_uncertainty_score":0.61451334},"labels":[],"label_agreement":null},{"id":"W4311986553","doi":"10.1016/j.jth.2022.101544","title":"New horizons for sustainable transport planning: An analysis of seven years of gender-related research in Chile","year":2022,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Agencia Nacional de Investigación y Desarrollo; Centro de Desarrollo Urbano Sustentable; Pontificia Universidad Católica de Chile","keywords":"Environmental planning; Sustainable transport; Geography; Transport engineering; Engineering; Regional science; Business; Sustainability","score_opus":0.09489477868605055,"score_gpt":0.4220631245305974,"score_spread":0.32716834584454685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311986553","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961963,0.00096453005,0.00075167697,0.0008460362,0.00011756018,0.0005424131,0.00010786994,0.000010164746,0.00046342242],"genre_scores_gemma":[0.99869287,0.00009335346,0.0005986036,0.00002728613,0.00006777594,0.000007819331,0.00007228338,0.000016854774,0.000423126],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9959049,0.00032063312,0.0015352097,0.00026340995,0.0013083771,0.0006674555],"domain_scores_gemma":[0.99808353,0.00015765287,0.00074318214,0.00023770834,0.0003878826,0.00039005344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009780161,0.000113390124,0.00086256315,0.001335433,0.00039356592,0.000007787866,0.0006554821,0.00009992892,0.00037066214],"category_scores_gemma":[0.000021671534,0.0001230643,0.00047281667,0.0034620748,0.0001683501,0.0004049377,0.0000069331763,0.0006675117,7.332771e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006829009,0.00072821515,0.90550536,0.00022103993,0.00033142036,0.00013756835,0.078653306,0.0095788995,0.000028549392,0.0023254557,0.00015632056,0.001650942],"study_design_scores_gemma":[0.0010511061,0.0009111846,0.95145255,0.000036758873,0.0002659059,0.0000012096687,0.037484244,0.00005038195,0.000015327358,0.0034434963,0.005173432,0.00011438557],"about_ca_topic_score_codex":0.024283651,"about_ca_topic_score_gemma":0.008346908,"teacher_disagreement_score":0.045947183,"about_ca_system_score_codex":0.0004025124,"about_ca_system_score_gemma":0.004183806,"threshold_uncertainty_score":0.98221374},"labels":[],"label_agreement":null},{"id":"W4312104676","doi":"10.1093/geroni/igac059.1012","title":"NEIGHBORHOOD WALKABILITY INFLUENCES ASSOCIATIONS BETWEEN PHYSICAL ACTIVITY AND GAIT MEASURES IN OLDER ADULTS","year":2022,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Walkability; Actigraphy; Gait; Medicine; Demography; Physical activity; Physical medicine and rehabilitation; Internal medicine","score_opus":0.03184754121586116,"score_gpt":0.3284116031351482,"score_spread":0.2965640619192871,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312104676","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963472,0.000015098074,0.000059705322,0.0018920191,0.00007106139,0.0002512248,0.000025138597,0.000040996365,0.0012975489],"genre_scores_gemma":[0.9997309,0.0000010142862,0.000017722961,0.000078045625,0.00008761422,0.000047936737,0.00001674191,0.000004163579,0.000015854093],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99856657,0.00025805744,0.0002777376,0.00026780562,0.00042109884,0.0002087585],"domain_scores_gemma":[0.99941903,0.00021787974,0.00015122464,0.00009371873,0.00009610437,0.000022052578],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017676471,0.00007454138,0.00016076345,0.00020907626,0.0004559108,0.000051937,0.0001423148,0.00003865401,0.0000365681],"category_scores_gemma":[0.0003117293,0.00008374251,0.00001968054,0.0022280435,0.00010752792,0.0005236598,0.000043961147,0.00033229796,5.3046335e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005368465,0.00014110091,0.9649539,0.0000064949622,0.0000030947253,5.8633947e-7,0.018764166,0.000019455018,0.00005500132,0.0016461291,0.0000064823644,0.01439824],"study_design_scores_gemma":[0.0002963422,0.0000063052144,0.99073994,0.000011455124,0.0000030361975,1.5011636e-8,0.0019309829,0.00007055038,0.000056249828,0.006690695,0.00010032726,0.00009412324],"about_ca_topic_score_codex":0.008359844,"about_ca_topic_score_gemma":0.0042980947,"teacher_disagreement_score":0.025786037,"about_ca_system_score_codex":0.00027911962,"about_ca_system_score_gemma":0.0001321284,"threshold_uncertainty_score":0.9982436},"labels":[],"label_agreement":null},{"id":"W4312105701","doi":"10.1093/jeg/lbac037","title":"Commuting time and the gender gap in labor market participation","year":2022,"lang":"en","type":"article","venue":"Journal of Economic Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Ministerio de Ciencia e Innovación; Queen's University; Generalitat de Catalunya; Queen's University Belfast","keywords":"Endogeneity; Microdata (statistics); Instrumental variable; Economics; Demographic economics; Context (archaeology); Productivity; Labour economics; Time allocation; Gender gap; Percentage point; Econometrics; Demography; Population; Census; Geography; Sociology; Economic growth","score_opus":0.02290999860627238,"score_gpt":0.284377688333399,"score_spread":0.26146768972712664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312105701","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98956656,0.0004606737,0.0000015705341,0.0016027092,0.00014986255,0.000076903845,0.0000052871555,0.000002988908,0.0081334235],"genre_scores_gemma":[0.9996068,0.00004781203,0.00003118633,0.00017441144,0.00007837542,0.0000036239944,5.6703396e-7,0.0000023866583,0.00005484278],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991269,0.00030419338,0.00030142925,0.000059283593,0.0000868185,0.000121376324],"domain_scores_gemma":[0.9994627,0.00017494187,0.00024591567,0.000060185648,0.000017585155,0.000038641898],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0032571394,0.00003836896,0.00012862157,0.00009840295,0.0003208218,0.00004245571,0.00016955419,0.000015377009,0.0012313018],"category_scores_gemma":[0.000023691293,0.000029912875,0.00008287481,0.00010919886,0.00017088043,0.00017479561,0.000023981545,0.00016649785,0.0000012116499],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008444402,0.00002460066,0.9947838,0.0000016154812,0.000018520193,0.0000015258775,0.003555941,0.00014101557,0.0000017798928,0.00051443273,0.00036941265,0.0005028643],"study_design_scores_gemma":[0.0007827463,0.000016474047,0.98416334,0.000002587767,0.000018944847,7.2942885e-7,0.0017834817,0.00033073558,0.0000011749258,0.008570069,0.004285059,0.00004463047],"about_ca_topic_score_codex":0.0005558535,"about_ca_topic_score_gemma":0.0006575983,"teacher_disagreement_score":0.01062048,"about_ca_system_score_codex":0.000039483406,"about_ca_system_score_gemma":0.000060200797,"threshold_uncertainty_score":0.9996817},"labels":[],"label_agreement":null},{"id":"W4312197947","doi":"10.1007/s44212-022-00021-1","title":"A systematic review of the modifiable areal unit problem (MAUP) in community food environmental research","year":2022,"lang":"en","type":"review","venue":"Urban Informatics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Wuhan University; Chinese University of Hong Kong; National Natural Science Foundation of China","keywords":"Geospatial analysis; Geography; Socioeconomic status; Unit (ring theory); Consistency (knowledge bases); Environmental health; Cartography; Computer science; Psychology; Medicine","score_opus":0.14586978264242376,"score_gpt":0.37905699946423016,"score_spread":0.2331872168218064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312197947","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00009100733,0.9662963,0.0000019158736,0.000012045067,0.00008486584,0.0057926453,0.00026036488,0.000021386144,0.027439468],"genre_scores_gemma":[0.00043611188,0.9979028,0.000043424054,0.000048678874,0.000021238027,0.0006281838,0.00017054137,0.000021097541,0.0007279257],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9910627,0.004217405,0.0024728274,0.00011908098,0.0016095352,0.00051845924],"domain_scores_gemma":[0.9962227,0.0011216816,0.0012392735,0.0012694675,0.000048069876,0.00009884958],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.011741783,0.00028251053,0.0018809424,0.0002215862,0.001095011,0.00006964797,0.0026205045,0.00021467969,0.00046246705],"category_scores_gemma":[0.0005290848,0.00019074815,0.0004860005,0.0016106728,0.00063555455,0.00034511363,0.0004987471,0.0023260196,0.000023625658],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[8.0022477e-7,0.00016413466,0.00018766624,0.9839583,0.00005668982,4.1099105e-7,0.012467729,0.0000010532584,1.0847941e-9,0.00047461776,0.0003381847,0.0023504146],"study_design_scores_gemma":[0.00009327894,0.000057156332,0.0000081471735,0.51315624,0.0004358345,0.0000011289262,0.0084793,0.000011016347,4.924334e-8,0.00037977312,0.47714472,0.00023333466],"about_ca_topic_score_codex":0.0013419968,"about_ca_topic_score_gemma":0.0007903819,"teacher_disagreement_score":0.47680655,"about_ca_system_score_codex":0.00075193314,"about_ca_system_score_gemma":0.0009714803,"threshold_uncertainty_score":0.9999757},"labels":[],"label_agreement":null},{"id":"W4312199691","doi":"10.1016/j.multra.2022.100067","title":"Frequent public transit users views and attitudes toward cycling in Canada in the context of the COVID-19 pandemic","year":2022,"lang":"en","type":"article","venue":"Multimodal Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"The Scarborough Hospital; Institut National de la Recherche Scientifique; University of Toronto","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research","keywords":"Public transport; Cycling; Context (archaeology); Pandemic; TRIPS architecture; Travel behavior; Transport engineering; Coronavirus disease 2019 (COVID-19); Business; Transit (satellite); Geography; Engineering; Medicine","score_opus":0.11409885085980939,"score_gpt":0.3351283546271296,"score_spread":0.2210295037673202,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312199691","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.994437,0.00023741936,0.00007058773,0.004372069,0.000116765455,0.0005865509,0.00010233005,0.00000988775,0.00006743386],"genre_scores_gemma":[0.9988136,0.00004403302,0.000022435454,0.0009877097,0.000010902201,0.00007281633,0.00003718735,0.0000050335548,0.0000062437534],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99831533,0.00036672084,0.00040886752,0.00021279237,0.00048504924,0.00021121195],"domain_scores_gemma":[0.9994919,0.00018824807,0.00011343344,0.00012072808,0.000021816972,0.00006388998],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012311626,0.00009062763,0.00017103374,0.000049568287,0.00032177425,0.000017593926,0.00034626428,0.000035479385,0.0001022804],"category_scores_gemma":[0.000040611914,0.00006606386,0.000057256148,0.00045130053,0.00015748417,0.000176033,0.0000027199796,0.00026007835,6.8328866e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023429257,0.000049724847,0.9313616,0.000036894013,0.00000451842,0.0000051599714,0.06615589,0.0009427119,0.00008287313,0.00025234112,0.000007279568,0.0010775356],"study_design_scores_gemma":[0.00057654246,0.000007892298,0.96704507,0.0000071779455,0.000010768428,1.4723874e-7,0.030490113,0.000089455905,0.000011996758,0.0001652007,0.0015159711,0.00007967775],"about_ca_topic_score_codex":0.96226114,"about_ca_topic_score_gemma":0.9991969,"teacher_disagreement_score":0.036935743,"about_ca_system_score_codex":0.0004893303,"about_ca_system_score_gemma":0.0012759088,"threshold_uncertainty_score":0.2694006},"labels":[],"label_agreement":null},{"id":"W4312203900","doi":"10.1016/j.jtrangeo.2022.103508","title":"The impacts of accessibility measure choice on public transit project evaluation: A comparative study of cumulative, gravity-based, and hybrid approaches","year":2022,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":45,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan; Western University","funders":"","keywords":"Transport engineering; Public transport; Transit (satellite); Measure (data warehouse); Computer science; Built environment; Transportation planning; Bus rapid transit; Psychological intervention; Engineering; Data mining; Civil engineering; Psychology","score_opus":0.14664789607096987,"score_gpt":0.3682876614040675,"score_spread":0.22163976533309762,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312203900","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99646544,0.00085485715,0.00007275581,0.00046296517,0.00014166968,0.0014491406,0.00008367287,0.000010492812,0.00045899625],"genre_scores_gemma":[0.999801,0.000016641721,0.000053979733,0.000017635268,0.000049845967,0.0000395819,0.000010194137,0.000008556987,0.0000026082535],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99449885,0.0013282704,0.0011012134,0.00030531918,0.0024723576,0.00029399784],"domain_scores_gemma":[0.99712986,0.0004424603,0.0011724187,0.00030252553,0.00080941437,0.00014332314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0084631005,0.0002054601,0.0006264543,0.0003969531,0.0010260745,0.000047781206,0.00066456106,0.000044129083,0.000051415638],"category_scores_gemma":[0.00006955256,0.00014368734,0.0004312521,0.001368328,0.0007126144,0.00050702575,0.000010607928,0.0005437775,3.0319022e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00091686065,0.0025427288,0.9766901,0.00005199069,0.00029347205,0.0000044328726,0.01731437,0.0005831621,0.000020272106,0.00004514094,0.000016037322,0.0015214015],"study_design_scores_gemma":[0.0023160118,0.0013489089,0.97718024,0.000031979016,0.00039718483,8.3496417e-7,0.017369142,0.00009099798,0.00011859397,0.00059024524,0.00041222395,0.00014364341],"about_ca_topic_score_codex":0.0014552333,"about_ca_topic_score_gemma":0.0066620153,"teacher_disagreement_score":0.0083935475,"about_ca_system_score_codex":0.00006627768,"about_ca_system_score_gemma":0.0008706104,"threshold_uncertainty_score":0.7891839},"labels":[],"label_agreement":null},{"id":"W4312213421","doi":"10.1111/ajae.12369","title":"The land use consequences of rural to urban migration*","year":2022,"lang":"en","type":"article","venue":"American Journal of Agricultural Economics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Agriculture; Investment (military); Land use; Panel data; Margin (machine learning); Crop diversity; Agricultural economics; Geography; Natural resource economics; Economics; Ecology","score_opus":0.013241357312880807,"score_gpt":0.2413296827292767,"score_spread":0.2280883254163959,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312213421","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99246615,0.00007918094,0.0000029451144,0.00686327,0.0002775722,0.000082802464,0.000022248043,0.000004276525,0.00020153193],"genre_scores_gemma":[0.9991823,0.00013221204,0.00013085008,0.0001604459,0.00015651407,0.000002764038,0.0000023842456,0.0000022803952,0.0002302538],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99912375,0.00013097972,0.00039434593,0.00005802123,0.00014075161,0.0001521372],"domain_scores_gemma":[0.9988796,0.00021442924,0.00059576257,0.000068449546,0.00013612764,0.000105596315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048210638,0.00006350417,0.00019361539,0.000029082861,0.0005337124,0.000086385844,0.0003918856,0.000009617809,0.0000460973],"category_scores_gemma":[0.00005570165,0.000036378628,0.000121390134,0.00022462968,0.00050859305,0.00032600167,0.000024117748,0.0001270577,0.000001096992],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000102011465,0.000040806368,0.9788142,0.000001070476,0.000064063504,0.0000012996154,0.010826619,0.0013277974,0.0004032464,0.001477576,0.0028040118,0.0041372958],"study_design_scores_gemma":[0.00013872252,0.0003834471,0.8871024,0.0000055486935,0.000026767879,0.000008455077,0.07317723,0.0000016616071,0.00019861967,0.00026311039,0.03857323,0.00012076612],"about_ca_topic_score_codex":0.0041486016,"about_ca_topic_score_gemma":0.0044177216,"teacher_disagreement_score":0.09171177,"about_ca_system_score_codex":0.00012452743,"about_ca_system_score_gemma":0.00017495509,"threshold_uncertainty_score":0.62714726},"labels":[],"label_agreement":null},{"id":"W4312216773","doi":"10.34096/rtt.i27.9956","title":"Mobilidade Mobilidade urbana em Salvador/Ba: A Linha 2 do Metrô na perspectiva dos seus usuários","year":2022,"lang":"pt","type":"article","venue":"Revista Transporte y Territorio","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministère des Transports","funders":"","keywords":"Humanities; Art","score_opus":0.02259925788483726,"score_gpt":0.2865510869189117,"score_spread":0.26395182903407444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312216773","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94395703,0.034445267,0.00027332382,0.0019724742,0.0072094966,0.0046026832,0.005785879,0.00073325454,0.0010205874],"genre_scores_gemma":[0.9823212,0.00022576498,0.00006651081,0.0003925841,0.00292854,0.0011365864,0.00052584516,0.00027100844,0.012131929],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9845964,0.002006832,0.0027672336,0.0034314794,0.0046678823,0.0025302162],"domain_scores_gemma":[0.9946526,0.00028693376,0.0012661029,0.0022990466,0.00035210684,0.0011432007],"candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.003931542,0.0015372729,0.0023598755,0.0006642986,0.0069010817,0.0010185642,0.003972791,0.00045720427,0.0049582724],"category_scores_gemma":[0.000053964894,0.0017832374,0.0023122462,0.003997334,0.0006748484,0.00081315445,0.00039197083,0.004288706,0.0000671298],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025971057,0.012854997,0.4881635,0.002578713,0.002444604,0.0034927712,0.43210104,0.0027732225,0.0029327285,0.003424495,0.037256792,0.009380022],"study_design_scores_gemma":[0.0045866463,0.0020216564,0.055348832,0.00044213436,0.0026086178,0.00006369461,0.19164526,0.00045205554,0.00019977648,0.0005602117,0.7374962,0.0045749354],"about_ca_topic_score_codex":0.009876554,"about_ca_topic_score_gemma":0.0038160533,"teacher_disagreement_score":0.70023936,"about_ca_system_score_codex":0.0043448005,"about_ca_system_score_gemma":0.002325562,"threshold_uncertainty_score":0.99973756},"labels":[],"label_agreement":null},{"id":"W4312224581","doi":"10.1155/2022/7729068","title":"Investigating Travel Flow Differences between Peak Hours with Spatial Model with Endogenous Weight Matrix Using Automatic Vehicle Identification Data","year":2022,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Humanities and Social Science Fund of Ministry of Education of China; Ministry of Education of the People's Republic of China","keywords":"Endogeneity; Morning; Transport engineering; Traffic flow (computer networking); Identification (biology); Urbanization; Instrumental variable; Evening; Geography; Statistics; Computer science; Engineering; Mathematics; Economics; Medicine","score_opus":0.06367902722603233,"score_gpt":0.3084292798015907,"score_spread":0.24475025257555835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312224581","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9083887,0.00009868884,0.09073504,0.00016092513,0.0001132062,0.00027576808,0.00017913769,0.000030240726,0.000018337349],"genre_scores_gemma":[0.97299266,0.000013420764,0.026578318,0.000013132852,0.00016259647,0.000007202914,0.00019603632,0.000021686881,0.0000149706575],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974768,0.00013330387,0.0007213632,0.0002866571,0.0011217234,0.00026013644],"domain_scores_gemma":[0.9982883,0.000081354796,0.0010301785,0.00024479532,0.00021029083,0.00014508443],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007922143,0.00015864435,0.00032728235,0.00013244283,0.0008514561,0.00007195648,0.0005760324,0.000042218027,0.00004151712],"category_scores_gemma":[0.000020896927,0.00013104094,0.000057307578,0.00045537326,0.00018476593,0.001559238,0.0000062437803,0.00033586327,2.4480158e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014742032,0.00016092732,0.6701939,0.00007615659,0.000102752565,0.00003471891,0.031143712,0.2811427,0.008168272,0.00007084688,0.000002860532,0.00875573],"study_design_scores_gemma":[0.0012809483,0.00022568699,0.9404024,0.000114251154,0.0004489893,0.000004839775,0.009577754,0.046136014,0.00053688016,0.000998043,0.0000084711455,0.0002657597],"about_ca_topic_score_codex":0.00059365196,"about_ca_topic_score_gemma":0.0019452597,"teacher_disagreement_score":0.27020848,"about_ca_system_score_codex":0.00014431814,"about_ca_system_score_gemma":0.0006504903,"threshold_uncertainty_score":0.65487975},"labels":[],"label_agreement":null},{"id":"W4312271737","doi":"10.7202/1085772ar","title":"Using Geospatial Technologies for Assessing Accessibility of Urban Spaces for People with Motor Disabilities: Theoretical Framework of an Approach Centered on Users’ Perception","year":2019,"lang":"en","type":"article","venue":"Développement Humain Handicap et Changement Social","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Université Laval; Centre for Interdisciplinary Research in Rehabilitation","funders":"Canadian Institutes of Health Research","keywords":"Perception; Geospatial analysis; Diversity (politics); Order (exchange); Process (computing); Quality (philosophy); Universal design; Computer science; Cognition; Web accessibility; Internet privacy; Knowledge management; Business; Psychology; Geography; Sociology; World Wide Web","score_opus":0.07154713841218932,"score_gpt":0.3779750625191328,"score_spread":0.30642792410694353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312271737","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9485963,0.000012755362,0.04641578,0.0008278109,0.00019894583,0.0033161386,0.00022694562,0.000100878286,0.0003044646],"genre_scores_gemma":[0.974112,0.000008282195,0.025064869,0.000039202387,0.00022222003,0.00031652788,0.00018982311,0.000029924511,0.000017197754],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99729955,0.00023063803,0.00053546135,0.00063841545,0.00075514923,0.0005407808],"domain_scores_gemma":[0.9985237,0.0003707135,0.00049683126,0.00032041778,0.00022200058,0.00006634257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018740303,0.0002691747,0.00059029175,0.00014398794,0.00062919996,0.00014536307,0.00048477546,0.00028596088,0.00030650225],"category_scores_gemma":[0.00023763595,0.0002273487,0.00020303408,0.0002787041,0.001024571,0.00047762148,0.00006922777,0.0001671562,4.1351362e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019718336,0.0023931693,0.7654335,0.0015133338,0.00018714448,1.377298e-7,0.14572404,0.000015685437,0.0019558533,0.07845504,0.00007224766,0.0022779997],"study_design_scores_gemma":[0.0059765107,0.0027908965,0.4112603,0.0006888674,0.00044184332,7.802057e-8,0.5166268,0.002392316,0.0027789103,0.05564683,0.00020604992,0.0011906473],"about_ca_topic_score_codex":0.00017250134,"about_ca_topic_score_gemma":0.0003455036,"teacher_disagreement_score":0.37090272,"about_ca_system_score_codex":0.0003424992,"about_ca_system_score_gemma":0.00018361802,"threshold_uncertainty_score":0.92710114},"labels":[],"label_agreement":null},{"id":"W4312328621","doi":"10.1596/38199","title":"India - Toolkit for Enabling Gender Responsive Urban Mobility and Public Spaces","year":2022,"lang":"en","type":"book","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Political science","score_opus":0.05658776127114853,"score_gpt":0.30844065900182804,"score_spread":0.25185289773067954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312328621","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03547077,0.0034401305,0.00012797305,0.001062094,0.0008167026,0.002645154,0.00046984394,0.00030092231,0.9556664],"genre_scores_gemma":[0.08310045,0.00014938417,0.00029096135,0.0003839825,0.000757713,0.0002077095,0.00029793635,0.00004253522,0.91476935],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99740005,0.00019087682,0.00039350503,0.0008314253,0.0006106199,0.0005735126],"domain_scores_gemma":[0.99811405,0.0007877455,0.00023171963,0.00039330625,0.00021910103,0.00025407248],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0020578757,0.00028273393,0.00045192585,0.00019813067,0.0012826031,0.000399763,0.0005166509,0.0004020654,0.006026819],"category_scores_gemma":[0.0004673696,0.00027020427,0.00021690737,0.00020117003,0.00060896645,0.00051202724,0.000121874415,0.00045800602,0.0000054245847],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044263352,0.00040580856,0.27889067,0.00083936856,0.00044672994,0.00003335156,0.040463347,8.4853855e-7,0.000011524061,0.3327711,0.33899567,0.0066989493],"study_design_scores_gemma":[0.00023448201,0.000045428988,0.0083882585,0.000008525621,0.00006787475,1.5325914e-7,0.0044700745,0.0000014557496,0.0000028024472,0.031739373,0.95467,0.0003715817],"about_ca_topic_score_codex":0.0006798108,"about_ca_topic_score_gemma":0.0036608765,"teacher_disagreement_score":0.6156743,"about_ca_system_score_codex":0.00043416512,"about_ca_system_score_gemma":0.0026725642,"threshold_uncertainty_score":0.999975},"labels":[],"label_agreement":null},{"id":"W4312787659","doi":"10.1007/978-3-031-22064-7_19","title":"The Coherence and Divergence Between the Objective and Subjective Measurement of Street Perceptions for Shanghai","year":2022,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"IBI Group (Canada)","funders":"","keywords":"Perception; Pairwise comparison; Computer science; Coherence (philosophical gambling strategy); Scale (ratio); Divergence (linguistics); Artificial intelligence; Cartography; Cognitive psychology; Geography; Psychology; Statistics; Mathematics","score_opus":0.03830024455558743,"score_gpt":0.2868303214702798,"score_spread":0.2485300769146924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312787659","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.157543,0.0059229997,0.81638455,0.004315618,0.0021611475,0.006252429,0.00048993476,0.00010351581,0.006826827],"genre_scores_gemma":[0.9984207,0.0001510424,0.0010874056,0.000058290723,0.00017486731,0.000034598,0.0000021924313,0.0000074424347,0.00006345838],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99792904,0.000078883066,0.00025207005,0.0005716046,0.00086723885,0.00030117176],"domain_scores_gemma":[0.9979638,0.0011612775,0.00019262295,0.0002952332,0.00031860903,0.000068470785],"candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0023262636,0.0001821753,0.00023823457,0.00007981613,0.0020783218,0.0001311694,0.000881581,0.00009327114,0.00003178177],"category_scores_gemma":[0.0001916811,0.00011619653,0.00006554242,0.00024056656,0.0035516357,0.0001890084,0.00027737534,0.00035003023,2.0347682e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051274117,0.000039936112,0.4613247,0.000074861324,0.00008171595,0.000002292884,0.04344535,0.00032337848,0.00008129192,0.015026166,0.000024862433,0.4795242],"study_design_scores_gemma":[0.0003855082,0.00042030518,0.7161949,0.00022435364,0.00013101073,7.317493e-7,0.0003104453,0.00094555184,0.00024708096,0.27764437,0.0028468762,0.0006488152],"about_ca_topic_score_codex":0.0012443961,"about_ca_topic_score_gemma":0.019945003,"teacher_disagreement_score":0.8408777,"about_ca_system_score_codex":0.00021122498,"about_ca_system_score_gemma":0.00048047322,"threshold_uncertainty_score":0.99922085},"labels":[],"label_agreement":null},{"id":"W4313352008","doi":"10.1080/19427867.2022.2158541","title":"Evaluating Social and Spatial Equity in Public Transport: A Case Study","year":2022,"lang":"en","type":"article","venue":"Transportation Letters","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Equity (law); Public transport; Social equality; Business; Economics; Political science; Transport engineering; Engineering","score_opus":0.15061743192311394,"score_gpt":0.42271026504380177,"score_spread":0.2720928331206878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313352008","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99493784,0.000017317969,0.000322075,0.0034319914,0.00016031614,0.00077646814,0.00005331601,0.000081827915,0.00021887504],"genre_scores_gemma":[0.9991014,9.559197e-7,0.000059074082,0.00048288322,0.000096449505,0.00016290124,0.00006134374,0.000013647572,0.000021324762],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99762243,0.0003759276,0.00045610158,0.00040573208,0.00076647,0.0003733438],"domain_scores_gemma":[0.9995931,0.000058031233,0.0001204026,0.00009934493,0.00003542268,0.00009373423],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001994657,0.00013230098,0.00020750143,0.00015041404,0.0013827336,0.000047316218,0.00018327184,0.00003860818,0.0006707403],"category_scores_gemma":[0.000010573627,0.00015834208,0.000069839676,0.00053932704,0.00017870821,0.00038356095,0.000006572687,0.00031180566,7.5917785e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046807058,0.0003028087,0.8526013,0.000015686788,0.000013473585,0.0011808269,0.13667427,0.00010028233,0.00017119257,0.00015413894,0.000011345525,0.008727899],"study_design_scores_gemma":[0.0013900198,0.000080363585,0.94854,0.0000020817893,0.000050903735,0.0000029617713,0.049268972,0.00007212852,0.0000026216612,0.00012470238,0.00026184044,0.00020343895],"about_ca_topic_score_codex":0.0716426,"about_ca_topic_score_gemma":0.34779316,"teacher_disagreement_score":0.27615055,"about_ca_system_score_codex":0.00015833719,"about_ca_system_score_gemma":0.00017273813,"threshold_uncertainty_score":0.9999173},"labels":[],"label_agreement":null},{"id":"W4313411342","doi":"10.1177/0145482x221143143","title":"The Impact of COVID-19 on Transportation of Adults With Visual Impairments","year":2022,"lang":"en","type":"article","venue":"Journal of Visual Impairment & Blindness","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Interdependence; Psychology; 2019-20 coronavirus outbreak; Business; Applied psychology; Medicine; Political science; Outbreak","score_opus":0.022602929036441115,"score_gpt":0.38741355620660045,"score_spread":0.36481062717015933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313411342","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984411,0.00012388175,0.00015647797,0.00034151302,0.00027831117,0.0004976065,0.00006907881,0.00001287212,0.00007917412],"genre_scores_gemma":[0.9996473,0.000049266717,0.000024612318,0.000047447127,0.0001252815,0.000014221986,0.00001592313,0.000015901967,0.00006000067],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99633527,0.00042019933,0.0010140194,0.00018885956,0.0016743599,0.0003672715],"domain_scores_gemma":[0.9972551,0.00027819313,0.0015835445,0.0001524513,0.00038951696,0.0003412186],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026185408,0.00019229804,0.0004407842,0.00022288796,0.00074313575,0.000041294366,0.0005371808,0.000060856888,0.0003946419],"category_scores_gemma":[0.00008327611,0.00011839548,0.0004238406,0.00077281334,0.00036545165,0.0003695158,0.000012566994,0.00035104415,5.851554e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.020830598,0.019785576,0.8886434,0.00015748209,0.00050241087,0.0001208849,0.06095909,0.0043283696,0.0008464554,0.000120966884,0.0007320379,0.0029727179],"study_design_scores_gemma":[0.01005529,0.071605235,0.83772683,0.00021329377,0.00028139065,0.000015042466,0.07626702,0.00021596246,0.0017731936,0.000620653,0.0007830969,0.00044297182],"about_ca_topic_score_codex":0.0022690452,"about_ca_topic_score_gemma":0.00074828713,"teacher_disagreement_score":0.051819656,"about_ca_system_score_codex":0.00054699654,"about_ca_system_score_gemma":0.0020344646,"threshold_uncertainty_score":0.5715675},"labels":[],"label_agreement":null},{"id":"W4313550414","doi":"10.2139/ssrn.4299562","title":"Cross-Sectional Equity Analysis of Accessibility by Automobile to Haemodialysis Services in Cali, Colombia, in 2020","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Bruyère; Queen's University","funders":"","keywords":"Equity (law); Census; Geography; Population; Business; Transport engineering; Cross-sectional study; Medicine; Environmental health; Engineering","score_opus":0.014397964994911496,"score_gpt":0.35016043909932043,"score_spread":0.33576247410440896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313550414","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99792105,0.0005960863,0.00016128263,0.00028109323,0.00015013192,0.00024795925,0.00011466252,0.00002038391,0.0005073375],"genre_scores_gemma":[0.9992707,0.00010617972,0.000017947737,0.00009550621,0.00006407288,0.00004336713,0.00005182062,0.000008613071,0.00034180813],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9953602,0.00051710824,0.00088975386,0.00050280883,0.0010330768,0.0016970596],"domain_scores_gemma":[0.9990223,0.000118538395,0.00033850913,0.00023584487,0.0001314932,0.00015331176],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0102002295,0.00014887922,0.000507569,0.00052739866,0.0006358365,0.00012775842,0.0010784117,0.000102798076,0.0018497059],"category_scores_gemma":[0.00006711666,0.00016037103,0.00031741904,0.0049905544,0.00015294344,0.00049166236,0.0001940368,0.0014893839,0.0000021598646],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015005875,0.00041671257,0.99082017,0.000007861154,0.00020833182,0.00000358888,0.0022073984,0.0031498203,0.00015405727,0.00056799117,0.000013214723,0.0023007877],"study_design_scores_gemma":[0.00046548626,0.00009767211,0.9730454,0.000002842321,0.000106381616,7.2894557e-7,0.0036874549,0.0004711268,0.000026150115,0.021656323,0.00027749347,0.00016295566],"about_ca_topic_score_codex":0.046274323,"about_ca_topic_score_gemma":0.5354239,"teacher_disagreement_score":0.48914954,"about_ca_system_score_codex":0.0039935843,"about_ca_system_score_gemma":0.002850398,"threshold_uncertainty_score":0.9998299},"labels":[],"label_agreement":null},{"id":"W4313575407","doi":"10.1007/s11116-022-10369-7","title":"Studying the Interrelationship between Telecommuting during COVID-19, residential local accessibility, and active travel: a panel study in Montréal, Canada","year":2023,"lang":"en","type":"article","venue":"Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; California HIV/AIDS Research Program","keywords":"Telecommuting; Coronavirus disease 2019 (COVID-19); Transport engineering; 2019-20 coronavirus outbreak; Geography; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Regional science; Business; Environmental planning; Engineering; Work (physics); Outbreak; Medicine","score_opus":0.0892604443402192,"score_gpt":0.34954133194519665,"score_spread":0.2602808876049775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313575407","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969989,0.000038133778,0.0003482653,0.0014168617,0.00008783463,0.00089105126,0.00003635043,0.00010733606,0.00007525789],"genre_scores_gemma":[0.9997218,0.000009008082,0.0000053546523,0.00003095365,0.000068852336,0.000051058636,0.00006719345,0.000011480639,0.0000342798],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99800766,0.00033920244,0.0004887623,0.00035971965,0.00048145888,0.00032322836],"domain_scores_gemma":[0.9989983,0.00052703277,0.00012793273,0.00016517054,0.00004346221,0.0001381452],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00132808,0.00013042265,0.0002043833,0.00011781977,0.0012268861,0.00009219157,0.0002654849,0.00006798338,0.000024362791],"category_scores_gemma":[0.00014432908,0.000114613256,0.00003753823,0.0008709346,0.00017528806,0.0004216055,0.000010350189,0.00031554556,0.0000010627505],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059370795,0.00003979447,0.921806,0.000028726896,0.000019868428,0.000029326935,0.07676679,0.00028568477,0.000007730695,0.000028073362,0.000016604086,0.0009120221],"study_design_scores_gemma":[0.00059005065,0.000015883861,0.8705907,0.000012638287,0.00004487026,4.7155524e-8,0.1281024,0.00006946772,0.000020753509,0.00042630357,0.000017024466,0.000109860244],"about_ca_topic_score_codex":0.9330322,"about_ca_topic_score_gemma":0.99802697,"teacher_disagreement_score":0.064994775,"about_ca_system_score_codex":0.00033254168,"about_ca_system_score_gemma":0.0005923792,"threshold_uncertainty_score":0.943634},"labels":[],"label_agreement":null},{"id":"W4313596672","doi":"10.1186/s12940-022-00955-8","title":"Neighborhood infrastructure-related risk factors and non-communicable diseases: a systematic meta-review","year":2023,"lang":"en","type":"review","venue":"Environmental Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; McGill University; McGill University Health Centre","funders":"Wellcome Trust","keywords":"Environmental health; Systematic review; Walkability; Meta-analysis; Psychological intervention; Built environment; Urbanization; Medicine; Geography; MEDLINE; Engineering; Political science; Civil engineering; Pathology","score_opus":0.048261200684774845,"score_gpt":0.3527517081206427,"score_spread":0.30449050743586786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313596672","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00010049067,0.9940304,0.000004138901,0.00006918053,0.00019458674,0.004468777,0.0008374552,0.0001153577,0.0001796221],"genre_scores_gemma":[0.002787969,0.9957414,0.00001958494,0.00011494013,0.00004091514,0.00030260914,0.00047734866,0.00007180557,0.00044338888],"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","domain_scores_codex":[0.99455166,0.0020238,0.0015505772,0.00064043794,0.0006168003,0.00061670924],"domain_scores_gemma":[0.99659574,0.00058419106,0.0013889817,0.00084664155,0.0000035745352,0.00058085425],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0016235829,0.00062213716,0.0048022573,0.000099849436,0.0009834284,0.00006737136,0.0007291953,0.00027933682,0.0006857975],"category_scores_gemma":[0.000089475456,0.00040733107,0.001013145,0.00043115058,0.00042559984,0.00022777288,0.00016768911,0.00073482667,0.00015512914],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000011228666,0.00016841074,0.011182322,0.959591,0.0022953334,0.0000068127547,0.0019074072,4.364237e-7,2.4335265e-9,0.000049972605,0.0006315758,0.024165608],"study_design_scores_gemma":[0.00056067586,0.00022083941,0.015730996,0.28923225,0.06832922,0.000004836525,0.0021990964,0.000008880942,1.9311107e-8,0.0013675309,0.6200805,0.0022651695],"about_ca_topic_score_codex":0.002772312,"about_ca_topic_score_gemma":0.00045014604,"teacher_disagreement_score":0.6703588,"about_ca_system_score_codex":0.0006467987,"about_ca_system_score_gemma":0.0003973897,"threshold_uncertainty_score":0.9998379},"labels":[],"label_agreement":null},{"id":"W4313640300","doi":"10.1038/s41598-022-26406-5","title":"Urbanization and physical activity in the global Prospective Urban and Rural Epidemiology study","year":2023,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":83,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hamilton Health Sciences; Population Health Research Institute; Simon Fraser University; McMaster University; Queen's University; Institut universitaire de cardiologie et de pneumologie de Québec","funders":"Canadian Institutes of Health Research; National Institutes of Health; Servier; Ontario Ministry of Health and Long-Term Care; GlaxoSmithKline; Hamilton Health Sciences; Sanofi; NIH Office of the Director; Heart and Stroke Foundation of Canada","keywords":"Urbanization; Impervious surface; Geography; Population; Demography; Epidemiology; Rural area; Population density; Socioeconomics; Environmental health; Medicine; Ecology; Biology","score_opus":0.035702107403632256,"score_gpt":0.36108864476213187,"score_spread":0.3253865373584996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313640300","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966708,0.000036722995,0.0000067564624,0.0005551959,0.00076561235,0.0006690378,0.00000235198,0.00005885198,0.0012346652],"genre_scores_gemma":[0.9995765,0.0000014036054,0.000004366791,0.000011471552,0.00008940138,0.000025835112,0.000006491804,0.0000024056826,0.00028211728],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983992,0.00038333613,0.00017786649,0.00048567745,0.00028933687,0.00026461112],"domain_scores_gemma":[0.9993665,0.00015789962,0.00011427728,0.0002463436,0.000054515538,0.000060425402],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0048461137,0.000077095145,0.00016650194,0.000043809116,0.0006409252,0.00014069081,0.00009910112,0.000040919924,0.000005284903],"category_scores_gemma":[0.00057729316,0.000053602766,0.000025696905,0.0012176664,0.0007657234,0.00029479308,0.000040427567,0.00009321784,0.0000024466278],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000050042895,0.0001426734,0.9779054,0.0000032589228,0.0000033124918,0.000039224415,0.020108622,0.0000019638442,0.000017022347,0.00060880516,0.0004606823,0.0007040087],"study_design_scores_gemma":[0.00007283653,0.000021436263,0.94469756,0.0000033303922,0.000009020815,0.0000012999257,0.0070121624,0.000073688316,0.00000764445,0.047738865,0.00030377792,0.000058380614],"about_ca_topic_score_codex":0.0016416388,"about_ca_topic_score_gemma":0.004732169,"teacher_disagreement_score":0.04713006,"about_ca_system_score_codex":0.000055390778,"about_ca_system_score_gemma":0.00008372676,"threshold_uncertainty_score":0.4929543},"labels":[],"label_agreement":null},{"id":"W4313824403","doi":"10.1177/23998083221146781","title":"TTS2016R: A data set to study population and employment patterns from the 2016 Transportation Tomorrow Survey in the Greater Golden Horseshoe area, Ontario, Canada","year":2023,"lang":"en","type":"article","venue":"Environment and Planning B Urban Analytics and City Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Census; Geography; Documentation; Population; TRIPS architecture; Data set; Product (mathematics); Computer science; Graphics; Open data; Transport engineering; World Wide Web; Engineering; Sociology; Mathematics","score_opus":0.10300558165623942,"score_gpt":0.2963702026051099,"score_spread":0.19336462094887047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313824403","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986256,0.000041272666,0.000029032211,0.0006210812,0.0000499586,0.00029412392,0.0003172336,0.00000587464,0.000015845748],"genre_scores_gemma":[0.9993282,0.000021892542,0.000007146923,0.00014608997,0.000027277514,0.000004841642,0.00023374493,0.0000025290517,0.00022828288],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985924,0.00009603423,0.00017182616,0.00041286455,0.00050721294,0.00021969336],"domain_scores_gemma":[0.9994311,0.0001472865,0.00005057662,0.00026884556,0.0000073403608,0.00009489057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002001364,0.00009790852,0.00011118822,0.000038441412,0.00060401147,0.00019720531,0.0003827894,0.000023580338,0.000051159102],"category_scores_gemma":[0.000026081792,0.000062159655,0.000007662887,0.00021987123,0.00016049834,0.00022945953,0.00004945526,0.00009751641,4.9227435e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000074266986,0.000014167091,0.97020584,7.1958726e-7,0.0000053805616,0.000007750388,0.0288088,0.000033928452,0.0000017003777,0.0000024071458,0.0007090378,0.00020285897],"study_design_scores_gemma":[0.00011384654,0.000020663581,0.99378556,0.000012221577,0.00002461376,4.837483e-8,0.0051047173,0.00024086317,7.713635e-7,0.000040439947,0.00056188775,0.00009437493],"about_ca_topic_score_codex":0.9617088,"about_ca_topic_score_gemma":0.9918783,"teacher_disagreement_score":0.030169442,"about_ca_system_score_codex":0.00007122997,"about_ca_system_score_gemma":0.00009038376,"threshold_uncertainty_score":0.4645629},"labels":[],"label_agreement":null},{"id":"W4313837034","doi":"10.24908/cpp-apc.v2022i1.15783","title":"Not In Service","year":2023,"lang":"en","type":"article","venue":"Canadian Planning and Policy / Aménagement et politique au Canada","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Guelph; Selkirk College","funders":"Infrastructure Canada; Social Sciences and Humanities Research Council of Canada","keywords":"Typology; Business; Jurisdiction; Transit (satellite); Environmental planning; Service (business); Revenue; Public transport; Transport engineering; Marketing; Geography; Political science; Finance; Engineering","score_opus":0.03260788247226105,"score_gpt":0.32504642257824934,"score_spread":0.2924385401059883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313837034","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7886989,0.000027337717,7.817952e-7,0.06959274,0.00017604628,0.00016961739,0.00017978194,0.00005292048,0.14110185],"genre_scores_gemma":[0.97454166,0.000022816832,0.0000057872594,0.022163387,0.00029766993,0.000018871917,0.0000749202,0.000012733238,0.0028621345],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982503,0.00011635006,0.00019650481,0.00025534251,0.00022942897,0.0009520809],"domain_scores_gemma":[0.9989083,0.00011381312,0.000038892875,0.0001592977,0.00003669677,0.0007430339],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006167243,0.00013062538,0.0001508119,0.00041128005,0.00038406573,0.00008182883,0.00023023716,0.00007862417,0.000052772073],"category_scores_gemma":[0.000116541654,0.00015192034,0.000018530674,0.0009532401,0.00007208132,0.00016168931,0.000021717538,0.00017104398,0.000007895578],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005963102,0.0000052326395,0.80719364,0.00008236848,0.000017183344,0.0003524608,0.022265127,0.00014511494,0.0000035138726,0.13314073,0.036143374,0.0006453218],"study_design_scores_gemma":[0.00012380099,0.0000038574544,0.63734215,0.000045278382,0.0000036974257,2.972159e-7,0.003226789,0.000026094167,0.0000053508934,0.0007590799,0.3583081,0.0001554694],"about_ca_topic_score_codex":0.9999587,"about_ca_topic_score_gemma":0.99999267,"teacher_disagreement_score":0.3221647,"about_ca_system_score_codex":0.0013026731,"about_ca_system_score_gemma":0.012364263,"threshold_uncertainty_score":0.9932347},"labels":[],"label_agreement":null},{"id":"W4315652079","doi":"10.3390/su15021390","title":"Status, Hotspots, and Future Trends: Bibliometric Analysis of Research on the Impact of the Built Environment on Children and Adolescents’ Physical Activity","year":2023,"lang":"en","type":"article","venue":"Sustainability","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Built environment; Promotion (chess); Health promotion; Physical activity; Environmental health; Level design; Psychology; Public health; Gerontology; Medicine; Political science; Engineering; Civil engineering; Computer science","score_opus":0.036834849387122205,"score_gpt":0.40122369386538265,"score_spread":0.3643888444782604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4315652079","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974505,0.000061124185,5.2413384e-7,0.001737107,0.000015728156,0.00045242382,0.00015561662,0.000015453044,0.00011157507],"genre_scores_gemma":[0.9997033,0.00013504174,3.8778285e-7,0.00000395424,0.00006954534,0.000009087048,0.0000050881204,0.0000051402717,0.00006847711],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99706084,0.0010629785,0.0001517745,0.00039305873,0.00090046757,0.00043091225],"domain_scores_gemma":[0.998382,0.0006142193,0.000107996326,0.000609751,0.00017295564,0.00011312172],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.0027481513,0.00012307042,0.00028816747,0.0058967597,0.0005108031,0.00004030937,0.00031717293,0.000081174294,0.000051569077],"category_scores_gemma":[0.00052666955,0.00006453205,0.000255169,0.06945493,0.0016127913,0.000108678694,0.00012123772,0.0003991984,3.6699709e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012033975,0.0005350634,0.9679745,0.00002257005,0.00012045175,3.29717e-7,0.0029931383,0.000078755926,0.000014013438,0.00033267838,0.000081679354,0.027726475],"study_design_scores_gemma":[0.00013848238,0.00012208057,0.99564314,0.00000598845,0.00008103316,7.57856e-9,0.001992041,0.000059207945,0.000076171964,0.0017942017,0.000025594782,0.0000620289],"about_ca_topic_score_codex":0.0155630745,"about_ca_topic_score_gemma":0.00044304525,"teacher_disagreement_score":0.06355817,"about_ca_system_score_codex":0.00039151008,"about_ca_system_score_gemma":0.00021475927,"threshold_uncertainty_score":0.99099237},"labels":[],"label_agreement":null},{"id":"W4315702283","doi":"10.1080/09640568.2022.2156852","title":"Ecological footprint analysis of tourism management in rural areas","year":2023,"lang":"en","type":"article","venue":"Journal of Environmental Planning and Management","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Ecological footprint; Tourism; Environmental resource management; Geography; Environmental planning; Business; Footprint; Rural tourism; Natural resource economics; Ecology; Sustainability; Environmental science; Tourism geography; Economics","score_opus":0.01858117589882045,"score_gpt":0.2831470928130096,"score_spread":0.2645659169141891,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4315702283","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9935154,0.00016380988,0.000058099646,0.00019079265,0.000083990766,0.00012517876,0.000003219052,0.000008523451,0.0058510327],"genre_scores_gemma":[0.9982635,0.0008813244,0.00024550495,0.000027836972,0.000025601765,0.0000032112907,0.000004760569,0.0000030834008,0.00054517697],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99891,0.000053000906,0.0003811868,0.0001152588,0.0003504665,0.00019006674],"domain_scores_gemma":[0.99961936,0.000036294747,0.00018940933,0.00007807004,0.0000031853945,0.000073662304],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008174836,0.00007795203,0.00023850397,0.00045133423,0.0000836925,0.00002036589,0.00016291584,0.00003808416,0.00008561206],"category_scores_gemma":[0.0000036279953,0.000066754736,0.00011795384,0.00041500432,0.000116753436,0.00008237688,0.000080107864,0.00009020871,0.0000019360052],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005678377,0.00023915489,0.9791791,0.0000300057,0.0007004284,0.00046264628,0.0017935168,0.0018129086,0.0000371226,0.0005639828,0.00015204861,0.014972326],"study_design_scores_gemma":[0.00034279938,0.000045327182,0.9851617,0.00003454635,0.00035146976,2.5528985e-7,0.011703232,0.00007931876,0.000007404476,0.0004362811,0.0017690853,0.000068529676],"about_ca_topic_score_codex":0.00004745555,"about_ca_topic_score_gemma":0.00004858289,"teacher_disagreement_score":0.014903797,"about_ca_system_score_codex":0.000083163206,"about_ca_system_score_gemma":0.0000030610279,"threshold_uncertainty_score":0.2722179},"labels":[],"label_agreement":null},{"id":"W4316335647","doi":"10.5194/isprs-annals-x-4-w1-2022-623-2023","title":"MEASURING SPATIAL ACCESSIBILITY TO HEALTHCARE FACILITIES IN ISFAHAN METROPOLITAN AREA IN IRAN","year":2023,"lang":"en","type":"article","venue":"ISPRS annals of the photogrammetry, remote sensing and spatial information sciences","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"European Commission","keywords":"Metropolitan area; Megacity; Health care; Catchment area; Business; Population; Transport engineering; Geography; Environmental health; Medicine; Economic growth; Cartography; Engineering","score_opus":0.1647975822230096,"score_gpt":0.37304120753727865,"score_spread":0.20824362531426904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4316335647","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9847564,0.00004466924,0.0058381613,0.006223298,0.000407287,0.0005337172,0.000036985035,0.000061004823,0.0020984379],"genre_scores_gemma":[0.99933463,0.00005542785,0.00011114823,0.00040889627,0.000041361727,7.102876e-7,0.000004818098,0.0000039007377,0.000039084298],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9970417,0.0003249121,0.0007935679,0.00029381044,0.00092485565,0.0006211378],"domain_scores_gemma":[0.9989245,0.00018057208,0.00025251516,0.00026653995,0.00020049377,0.00017537586],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004612945,0.00016574956,0.00033477787,0.0007292883,0.00064289174,0.00027006274,0.00047050393,0.00011068424,0.000011091426],"category_scores_gemma":[0.0012173989,0.00012916743,0.00010929969,0.003181135,0.0007588885,0.00065414596,0.00011617772,0.00020660262,0.000003840038],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005346041,0.000015822625,0.22131158,0.00008836159,0.0000045095294,8.836582e-7,0.023118196,0.00023686876,0.0000777351,0.000021329075,0.00004710159,0.75502414],"study_design_scores_gemma":[0.00032334003,0.000104347615,0.85952926,0.00030221604,0.000004876194,4.6994265e-7,0.049410496,0.079317346,0.0036008123,0.0056894473,0.0013871933,0.00033022105],"about_ca_topic_score_codex":0.928856,"about_ca_topic_score_gemma":0.89182043,"teacher_disagreement_score":0.7546939,"about_ca_system_score_codex":0.00010596963,"about_ca_system_score_gemma":0.00020691685,"threshold_uncertainty_score":0.52672946},"labels":[],"label_agreement":null},{"id":"W4316363551","doi":"10.3389/fpubh.2022.1116691","title":"Associations between neighborhood walkability and walking following residential relocation: Findings from Alberta's Tomorrow Project","year":2023,"lang":"en","type":"article","venue":"Frontiers in Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Alberta Health Services; Public Works and Government Services Canada; University of Calgary","funders":"Alberta Cancer Foundation; Canadian Institutes of Health Research; Japan Society for the Promotion of Science; Health Canada; Partenariat Canadien Contre Le Cancer; Alberta Health Services","keywords":"Walkability; Relocation; Built environment; Baseline (sea); Medicine; Longitudinal study; Population; Demography; Environmental health; Gerontology; Level design; Geography; Physical activity; Physical therapy; Engineering; Computer science","score_opus":0.048360502799957586,"score_gpt":0.33893225696741613,"score_spread":0.29057175416745856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4316363551","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.969166,0.00016655581,0.0012257334,0.025040092,0.0013962114,0.0006787782,0.00009202411,0.00020469584,0.0020299382],"genre_scores_gemma":[0.99747026,0.000072577364,0.0010522793,0.00018792822,0.00034021135,0.000034502486,0.00039962502,0.000016067423,0.00042653253],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99682087,0.00064515474,0.00062333624,0.0005618364,0.000564446,0.0007843635],"domain_scores_gemma":[0.9987978,0.0004495439,0.00017622314,0.00025803427,0.000061040795,0.00025739166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0049263737,0.00014350832,0.00042337264,0.0003253092,0.001030902,0.00027230164,0.0003372522,0.00021710125,0.000031335734],"category_scores_gemma":[0.0016385216,0.00015832721,0.000098062905,0.0019172695,0.00013949741,0.0009814111,0.000055307013,0.0003447775,0.000006235873],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000023408384,0.000027931914,0.95568824,0.000010491602,0.00003231811,0.0000014542996,0.025328424,1.8851941e-7,3.6983764e-7,0.00027532887,0.0075343503,0.011098541],"study_design_scores_gemma":[0.00032698122,0.000014673894,0.9807643,0.000026372429,0.000013948209,1.29674795e-8,0.004705063,0.000068682995,0.0000012857311,0.008287643,0.005638691,0.00015232613],"about_ca_topic_score_codex":0.1068628,"about_ca_topic_score_gemma":0.04737893,"teacher_disagreement_score":0.059483867,"about_ca_system_score_codex":0.0008020807,"about_ca_system_score_gemma":0.0017140714,"threshold_uncertainty_score":0.9700039},"labels":[],"label_agreement":null},{"id":"W4316467815","doi":"10.1186/s12889-022-14841-y","title":"Infrastructure, policy and regulatory interventions to increase physical activity to prevent cardiovascular diseases and diabetes: a systematic review","year":2023,"lang":"en","type":"review","venue":"BMC Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Psychological intervention; Environmental health; Biostatistics; Meta-analysis; Context (archaeology); Population; Gerontology; Epidemiology; Internal medicine; Psychiatry","score_opus":0.08372821335759985,"score_gpt":0.4164587346609355,"score_spread":0.3327305213033357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4316467815","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002549949,0.98851377,0.000055085915,0.00075700035,0.00009490981,0.0074645444,0.00037635394,0.00015082909,0.000037540914],"genre_scores_gemma":[0.001776093,0.99568915,0.00003868456,0.00033407085,0.0004667093,0.0013766811,0.00004961285,0.000043948425,0.00022505333],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9942254,0.0028202166,0.0008062978,0.00077128067,0.0006803637,0.0006964784],"domain_scores_gemma":[0.99636674,0.0005261458,0.00039349712,0.0008431155,0.00009554656,0.0017749419],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0040280097,0.0003835681,0.003529545,0.00036215672,0.00045059941,0.00022142561,0.00044816433,0.00012674276,0.000008769875],"category_scores_gemma":[0.004741832,0.00030133408,0.0011653075,0.0016455303,0.00015840119,0.00028949082,0.00023506705,0.00024870897,0.000015429872],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[3.975004e-7,0.00011501709,0.00029905915,0.89588976,0.00018592022,8.4316673e-7,0.00028506815,6.197374e-8,9.985053e-10,0.0003647379,0.00045583042,0.10240331],"study_design_scores_gemma":[0.00009313662,0.00007520788,0.019726926,0.67557025,0.0023682285,0.0000010060035,0.00010492769,0.0000012996578,3.945768e-9,0.00024907183,0.30125013,0.0005598162],"about_ca_topic_score_codex":0.0025194855,"about_ca_topic_score_gemma":0.000994837,"teacher_disagreement_score":0.3007943,"about_ca_system_score_codex":0.00078126055,"about_ca_system_score_gemma":0.0043305717,"threshold_uncertainty_score":0.99994385},"labels":[],"label_agreement":null},{"id":"W4316494184","doi":"10.1080/15568318.2023.2166438","title":"Evaluating the need for secured bicycle parking across cyclist typologies","year":2023,"lang":"en","type":"article","venue":"International Journal of Sustainable Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University; McGill University","funders":"","keywords":"Transport engineering; Cycling; Work (physics); Business; Engineering; Geography","score_opus":0.0732500159832948,"score_gpt":0.45273490409789385,"score_spread":0.3794848881145991,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4316494184","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99053043,0.000084629166,0.0018932837,0.00603969,0.000804872,0.00030516632,0.000029320558,0.000051988314,0.00026062367],"genre_scores_gemma":[0.9978315,0.000046692858,0.00030406588,0.0000955588,0.00052492827,0.00002316936,0.000048684815,0.000010439354,0.0011149218],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998258,0.00007127807,0.00049836957,0.00012293471,0.00071677816,0.00033267387],"domain_scores_gemma":[0.99758214,0.00039466805,0.00041160578,0.00007227306,0.0014897946,0.000049509516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002850852,0.000084540756,0.00013447991,0.000116073985,0.00057936163,0.00017891463,0.0005410283,0.00006658452,0.000044593988],"category_scores_gemma":[0.00046208152,0.00006467673,0.00017270935,0.00039366432,0.00017899151,0.000714423,0.0000056343656,0.00014095724,0.000002149397],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022373393,0.00025848622,0.6407713,0.00019030915,0.0006024763,0.0004078209,0.22490253,0.019701941,0.0024842706,0.072873235,0.0025488539,0.033021413],"study_design_scores_gemma":[0.0013210198,0.00013927603,0.72576684,0.000051425424,0.000073366704,0.0000011184032,0.20848879,0.0005020439,0.00051618455,0.047126845,0.015845576,0.00016750886],"about_ca_topic_score_codex":0.00095525413,"about_ca_topic_score_gemma":0.0011877015,"teacher_disagreement_score":0.084995516,"about_ca_system_score_codex":0.00015006264,"about_ca_system_score_gemma":0.0002995243,"threshold_uncertainty_score":0.44560397},"labels":[],"label_agreement":null},{"id":"W4316669725","doi":"10.3389/fepid.2022.1073666","title":"Neighbourhood characteristics, lifestyle factors, and child development: Secondary analysis of the All our families cohort study","year":2023,"lang":"en","type":"article","venue":"Frontiers in Epidemiology","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia; BC Centre for Disease Control; University of Calgary; Université de Montréal; Alberta Children's Hospital; Centre Hospitalier Universitaire Sainte-Justine","funders":"Alberta Children's Hospital Foundation; Canadian Child Health Clinician Scientist Program; Children's Hospital Foundation","keywords":"Neighbourhood (mathematics); Moderation; Multilevel model; Cohort; Demography; Psychology; Medicine; Developmental psychology; Gerontology; Social psychology; Sociology","score_opus":0.028256829098889127,"score_gpt":0.31186098704387294,"score_spread":0.28360415794498384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4316669725","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99672574,0.00019489431,0.00008787389,0.0006810387,0.00089631276,0.0003337082,0.000042227217,0.000040095685,0.0009981123],"genre_scores_gemma":[0.99906236,0.00019427545,0.0001780398,0.00017503486,0.000055078126,0.00002846983,0.00007239559,0.000007019693,0.00022734691],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99749345,0.0008726703,0.00066301116,0.00038625536,0.0001486096,0.000436012],"domain_scores_gemma":[0.99904686,0.00030656185,0.00026831697,0.00025568184,0.000034103876,0.000088488516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003790764,0.00014211923,0.0008433709,0.0003116289,0.0002712036,0.000008407258,0.00037654216,0.000148925,0.000024951467],"category_scores_gemma":[0.0012969546,0.00010142063,0.00011854771,0.001044925,0.0002815898,0.00009632723,0.000081648766,0.0002551076,0.0000011501058],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008109659,0.000065941436,0.9884755,0.000010705504,0.0005291912,0.0000014469537,0.008831655,0.000006316501,1.9983676e-7,0.0000521184,0.0005056326,0.0015131668],"study_design_scores_gemma":[0.00013150527,0.000010293842,0.9867451,0.0000069487846,0.000223844,2.2895483e-8,0.010324752,0.000060872353,0.0000015152415,0.00022715477,0.0021628474,0.00010513024],"about_ca_topic_score_codex":0.0031292127,"about_ca_topic_score_gemma":0.011339584,"teacher_disagreement_score":0.008210371,"about_ca_system_score_codex":0.00006518742,"about_ca_system_score_gemma":0.00010730108,"threshold_uncertainty_score":0.6327754},"labels":[],"label_agreement":null},{"id":"W4317521128","doi":"10.4000/vertigo.37073","title":"Transformation des villes et mobilité durable : Regard sur les déterminants psychosociaux de l’attachement à l’auto solo","year":2022,"lang":"fr","type":"article","venue":"VertigO","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal; Université du Québec à Montréal","funders":"","keywords":"Humanities; Transformation (genetics); Psychology; Sociology; Art","score_opus":0.044147233446735205,"score_gpt":0.33950011721350404,"score_spread":0.2953528837667688,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317521128","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9693435,0.005890553,0.0010322019,0.008897908,0.0008953167,0.0005221818,0.00014527496,0.00011824926,0.013154804],"genre_scores_gemma":[0.99073184,0.0010140466,0.0004438125,0.00045095696,0.00011091186,0.000166764,0.000042506195,0.000026256692,0.007012898],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9969262,0.0005824108,0.00056486594,0.00045506813,0.00065876736,0.0008126787],"domain_scores_gemma":[0.99913496,0.00010914425,0.00016401228,0.0002900404,0.00010131578,0.00020055409],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015606246,0.00025797632,0.00031575764,0.00007192567,0.0018245828,0.00010503019,0.000511603,0.00013934163,0.002959189],"category_scores_gemma":[0.000049310987,0.00028036992,0.00026955566,0.0005669443,0.0005693049,0.00088682567,0.000049112503,0.00041721927,0.000029568919],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019908932,0.0015833356,0.8458114,0.0005377214,0.00011430858,0.00003315382,0.07835972,0.0002973321,0.0018865712,0.016329423,0.0052426425,0.04960529],"study_design_scores_gemma":[0.0015623833,0.00037920315,0.37949148,0.0002068046,0.00020145046,0.0000063115876,0.023230342,0.0010465556,0.0035453218,0.017965628,0.5715222,0.00084231945],"about_ca_topic_score_codex":0.008071712,"about_ca_topic_score_gemma":0.013374338,"teacher_disagreement_score":0.56627953,"about_ca_system_score_codex":0.0007168606,"about_ca_system_score_gemma":0.00044135563,"threshold_uncertainty_score":0.99996483},"labels":[],"label_agreement":null},{"id":"W4317553501","doi":"10.1371/journal.pone.0278468","title":"Introducing spatial availability, a singly-constrained measure of competitive accessibility","year":2023,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"The Scarborough Hospital; University of Toronto; McMaster University","funders":"Social Sciences and Humanities Research Council; Social Sciences and Humanities Research Council of Canada","keywords":"Interpretability; Measure (data warehouse); Computer science; Population; Constraint (computer-aided design); Competition (biology); Catchment area; Operations research; Econometrics; Geography; Mathematics; Ecology; Data mining; Cartography; Artificial intelligence","score_opus":0.06360601209401569,"score_gpt":0.28836466663023064,"score_spread":0.22475865453621496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317553501","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9780548,0.000032958567,0.00009380891,0.0011163952,0.00010806009,0.00049975276,0.000061268496,0.0002756926,0.019757224],"genre_scores_gemma":[0.99863833,0.000008976434,0.0005887497,0.000030290877,0.00033867208,0.000016296895,0.00002694804,0.000011274836,0.0003404304],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974829,0.00028203012,0.00046529435,0.00049650756,0.00087948446,0.00039381295],"domain_scores_gemma":[0.998531,0.00031346822,0.00017140263,0.0004056233,0.00044146096,0.00013707967],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002169407,0.0001343089,0.0004100155,0.00009429349,0.0003160348,0.000053337604,0.00040622955,0.00012205672,0.0010993214],"category_scores_gemma":[0.0015439108,0.00013341891,0.00011173856,0.000846876,0.00091103045,0.00030788247,0.000067594476,0.00021264511,0.00006192135],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008468512,0.0014766853,0.96836466,0.00024324589,0.00011526271,0.0000041812277,0.008834803,0.000001919999,0.01715892,0.0010906282,0.00003801443,0.0025869927],"study_design_scores_gemma":[0.0008420859,0.00011259521,0.9460694,0.0003655338,0.00020976679,4.704218e-8,0.004566869,0.00024332924,0.04026371,0.0068231532,0.00010494166,0.00039853316],"about_ca_topic_score_codex":0.0032155763,"about_ca_topic_score_gemma":0.009675196,"teacher_disagreement_score":0.023104789,"about_ca_system_score_codex":0.00010204946,"about_ca_system_score_gemma":0.0003536332,"threshold_uncertainty_score":0.9998138},"labels":[],"label_agreement":null},{"id":"W4317869008","doi":"10.1093/aje/kwad016","title":"Neighborhood Built Environment and Sleep Health: A Longitudinal Study in Low-Income and Predominantly African-American Neighborhoods","year":2023,"lang":"en","type":"article","venue":"American Journal of Epidemiology","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Mailman School of Public Health, Columbia University; National Heart, Lung, and Blood Institute; National Institute on Alcohol Abuse and Alcoholism; Sorbonne Université; Monash University; National Cancer Institute; School of Medicine, New York University; Agency for Healthcare Research and Quality; Institut National de la Santé et de la Recherche Médicale; York University","keywords":"Low income; Environmental health; Longitudinal study; Gerontology; Built environment; Sleep (system call); African american; Medicine; Demography; Psychology; Socioeconomics; Sociology; Engineering; Computer science","score_opus":0.04807619942430962,"score_gpt":0.36900615685445337,"score_spread":0.32092995743014374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317869008","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98847246,0.0012058252,0.00062697334,0.009089179,0.00014054014,0.00032645484,0.000008675312,0.000022385255,0.00010748767],"genre_scores_gemma":[0.99682015,0.001866252,0.00071170536,0.0003668991,0.0001849746,0.0000138392,0.000001533494,0.000016438615,0.000018214296],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99477684,0.002344503,0.0013036935,0.00048574683,0.0002756228,0.0008135695],"domain_scores_gemma":[0.9954557,0.002374707,0.0013751668,0.00024473463,0.00004404096,0.0005056387],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007924004,0.00022822751,0.0014125322,0.00036135202,0.00025259366,0.000019273002,0.0003532652,0.000052305586,0.000038877057],"category_scores_gemma":[0.0011628208,0.00019094314,0.00010925593,0.0009123752,0.0024681406,0.0002247779,0.00009463498,0.0004499884,0.000004370472],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001558273,0.0001897683,0.9505814,0.000009828326,0.000063912696,0.00006558956,0.0058193603,0.000042828025,0.0000027741692,0.00021008505,0.000031113053,0.042827547],"study_design_scores_gemma":[0.0006457246,0.0023418888,0.9823237,0.000031813313,0.000036987924,0.000012291792,0.011646522,0.00011203023,3.5774124e-7,0.0023013493,0.00037656046,0.0001707733],"about_ca_topic_score_codex":0.016619612,"about_ca_topic_score_gemma":0.0054331156,"teacher_disagreement_score":0.04265677,"about_ca_system_score_codex":0.00018358811,"about_ca_system_score_gemma":0.0002023006,"threshold_uncertainty_score":0.9899288},"labels":[],"label_agreement":null},{"id":"W4318197018","doi":"10.1016/j.habitatint.2023.102752","title":"Unequal periurban mobility: Travel patterns, modal choices and urban core dependence in Latin America","year":2023,"lang":"en","type":"article","venue":"Habitat International","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":62,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Centro de Desarrollo Urbano Sustentable","keywords":"Metropolitan area; Economic geography; Geography; Latin Americans; Inequality; Public transport; Regional science; Political science","score_opus":0.04215126339784683,"score_gpt":0.3257009298256351,"score_spread":0.2835496664277882,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318197018","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940656,0.00005664506,0.00014183122,0.0009935602,0.00039655244,0.0001831815,0.000109958455,0.000086296954,0.003966405],"genre_scores_gemma":[0.9980338,0.000053663553,0.00011032495,0.00015085466,0.00021016998,0.00003616926,0.00008629174,0.000009846458,0.001308887],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99844927,0.000062397026,0.00028514137,0.00038312242,0.0005275708,0.0002925192],"domain_scores_gemma":[0.99942344,0.0001990315,0.00007837692,0.00012006645,0.00007556429,0.00010351636],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043293092,0.00012010841,0.00015704556,0.00014414923,0.0001575047,0.00010157582,0.00035981231,0.00006748466,0.00045075922],"category_scores_gemma":[0.00013135634,0.000121060875,0.000054409116,0.00031936384,0.00028165153,0.00039530548,0.000051629846,0.00017643314,0.000039922903],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021485082,0.00006836841,0.9891118,0.000012043468,0.000009768995,0.000018543025,0.0065144924,0.000019797848,0.00007604936,0.0015281242,0.00018597071,0.0024336],"study_design_scores_gemma":[0.00028134882,0.000021182415,0.9902576,0.000028221542,0.000003898236,1.9145126e-7,0.0035828033,0.0023846526,0.000015804191,0.0012925002,0.0019910736,0.00014068259],"about_ca_topic_score_codex":0.004708624,"about_ca_topic_score_gemma":0.017232649,"teacher_disagreement_score":0.0125240255,"about_ca_system_score_codex":0.00009344717,"about_ca_system_score_gemma":0.00009055376,"threshold_uncertainty_score":0.9616223},"labels":[],"label_agreement":null},{"id":"W4318218903","doi":"10.1007/s44223-022-00020-x","title":"The evaluation of urban spatial quality and utility trade-offs for Post-COVID working preferences: a case study of Hong Kong","year":2023,"lang":"en","type":"article","venue":"Architectural Intelligence","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"IBI Group (Canada); Arcadis (Canada)","funders":"University of Queensland","keywords":"Amenity; Neighbourhood (mathematics); Work (physics); Vitality; Residence; Perception; Geography; Urban design; Preference; Psychology; Business; Architecture; Demographic economics; Engineering; Economics","score_opus":0.252835940302934,"score_gpt":0.43790623022348035,"score_spread":0.18507028992054636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318218903","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971567,0.00016485431,0.0005179686,0.00025749652,0.00016652168,0.0015053203,0.000018515293,0.00004294991,0.00016971986],"genre_scores_gemma":[0.99978954,0.000010310808,0.000041450792,0.000008928601,0.000062909174,0.00006263728,0.0000051404068,0.0000054101647,0.0000136530825],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973796,0.0007601255,0.0005901451,0.00033582057,0.0006556511,0.00027867153],"domain_scores_gemma":[0.99741834,0.0017398142,0.00026234676,0.00026996888,0.00023074028,0.000078775716],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0055245073,0.00011970732,0.00022406591,0.00006227772,0.00059005426,0.000043834287,0.00032776923,0.000054748205,0.000017002938],"category_scores_gemma":[0.001242513,0.00008345523,0.00008291362,0.00046960186,0.00061449525,0.0000856529,0.000047435908,0.00013699873,2.413053e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013594734,0.00008769608,0.47854865,0.00005225768,0.000031100833,0.0000030385377,0.094258085,0.0000825403,0.00008199629,0.00013218929,0.000001262332,0.42658526],"study_design_scores_gemma":[0.000281669,0.0003367137,0.87585413,0.00004669242,0.00011509515,0.0000024545413,0.10179117,0.006785497,0.0011553661,0.013419272,0.000027397664,0.0001845205],"about_ca_topic_score_codex":0.046122245,"about_ca_topic_score_gemma":0.20131864,"teacher_disagreement_score":0.42640072,"about_ca_system_score_codex":0.00003134043,"about_ca_system_score_gemma":0.00019460595,"threshold_uncertainty_score":0.9602297},"labels":[],"label_agreement":null},{"id":"W4318687112","doi":"10.1007/s11116-022-10365-x","title":"MoPeD meets MITO: a hybrid modeling framework for pedestrian travel demand","year":2023,"lang":"en","type":"article","venue":"Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver Community College; University of British Columbia","funders":"Technische Universität München; European Commission","keywords":"Pedestrian; Transport engineering; Metropolitan area; TRIPS architecture; Transportation planning; Trip distribution; Computer science; Distribution (mathematics); Poison control; Operations research; Engineering; Geography","score_opus":0.06186962704191721,"score_gpt":0.35053633077400276,"score_spread":0.28866670373208553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318687112","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.825452,0.00006294316,0.17195638,0.0010461119,0.00027861138,0.0005418399,0.00009322142,0.0002261708,0.00034269798],"genre_scores_gemma":[0.9960189,0.00007611733,0.0028290034,0.000054170985,0.0002621192,0.00008578652,0.00038032557,0.00002004446,0.00027353404],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986669,0.000033246113,0.00032651055,0.00031156416,0.0003072583,0.00035455395],"domain_scores_gemma":[0.9994565,0.00013128278,0.00007024095,0.00013155187,0.00009306627,0.00011732779],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005782875,0.00011763078,0.00017788359,0.000077433324,0.00047028283,0.000052927768,0.00017530278,0.00011439311,0.000076721386],"category_scores_gemma":[0.000059265407,0.0001230381,0.00014033038,0.00039436933,0.00006550148,0.00030976784,7.275766e-7,0.00010475272,0.00001729847],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013106287,0.0006831813,0.57512707,0.0012633736,0.00030389873,0.00011659861,0.19832985,0.032406103,0.002668615,0.15798739,0.0018928259,0.027910475],"study_design_scores_gemma":[0.0026557127,0.00013247726,0.5507284,0.0002563306,0.00042011548,1.5641622e-7,0.012183093,0.05271443,0.0019906694,0.37258968,0.0051800744,0.0011488897],"about_ca_topic_score_codex":0.0011646042,"about_ca_topic_score_gemma":0.0056736893,"teacher_disagreement_score":0.2146023,"about_ca_system_score_codex":0.000027390546,"about_ca_system_score_gemma":0.00012429857,"threshold_uncertainty_score":0.5017348},"labels":[],"label_agreement":null},{"id":"W4319069036","doi":"10.1155/2023/7407748","title":"Short-Term Forecasting of Dockless Bike-Sharing Demand with the Built Environment and Weather","year":2023,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities; Beijing Technology and Business University; National Natural Science Foundation of China","keywords":"Computer science; Fuse (electrical); Bike sharing; Convolution (computer science); Long short term memory; Graph; Term (time); Construct (python library); Demand forecasting; Real-time computing; Data mining; Artificial intelligence; Simulation; Machine learning; Operations research; Transport engineering; Artificial neural network; Engineering; Recurrent neural network; Computer network","score_opus":0.030720479519076138,"score_gpt":0.2869508555559615,"score_spread":0.25623037603688537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319069036","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978806,0.000184948,0.0013550655,0.0003068683,0.000056564528,0.0001272638,0.0000046836503,0.000009058876,0.00007499719],"genre_scores_gemma":[0.9991191,0.0002501861,0.00048718505,0.00000794961,0.000065329106,0.0000028793563,0.000004076098,0.000007982049,0.000055332097],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99910235,0.000019876255,0.0003075965,0.00010539856,0.00032879956,0.00013594585],"domain_scores_gemma":[0.9995066,0.000067805355,0.00024548004,0.00006990412,0.000057549867,0.000052688636],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050355174,0.000072177965,0.00014995802,0.000056199115,0.00017236247,0.000016944618,0.00012642489,0.000032256623,0.00001597458],"category_scores_gemma":[0.0000062968875,0.000046350786,0.00005227938,0.0001817108,0.00014869247,0.00039256248,0.0000018288473,0.000106198204,2.4046471e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013977775,0.00003044782,0.951296,0.000050139148,0.000038273763,0.000026797597,0.021429073,0.0115955565,0.002270878,0.00013027948,0.0000042906504,0.01298849],"study_design_scores_gemma":[0.0003377872,0.00006415131,0.9929304,0.00008953092,0.00006713803,7.946022e-7,0.0048409067,0.000030840263,0.0006551465,0.00059351197,0.00032417465,0.000065634944],"about_ca_topic_score_codex":0.00003926699,"about_ca_topic_score_gemma":0.0011828765,"teacher_disagreement_score":0.04163439,"about_ca_system_score_codex":0.000018579232,"about_ca_system_score_gemma":0.000025898633,"threshold_uncertainty_score":0.18901302},"labels":[],"label_agreement":null},{"id":"W4319164350","doi":"10.1177/03611981231152241","title":"Introducing a Framework for Cycling Investment Prioritization","year":2023,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Transport engineering; Cycling; Prioritization; Equity (law); Business; Greenhouse gas; Disadvantaged; Environmental economics; Investment (military); Environmental planning; Engineering; Economic growth; Economics; Process management; Environmental science","score_opus":0.1389734315176316,"score_gpt":0.4591524332489215,"score_spread":0.3201790017312899,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319164350","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9708575,0.00017117661,0.014169204,0.011151054,0.0012846647,0.0019328614,0.00006519449,0.00009855703,0.0002697773],"genre_scores_gemma":[0.98741716,0.00094627193,0.009087069,0.00010631493,0.0010708179,0.00017358812,0.000044506298,0.000057864356,0.0010964349],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9915148,0.0013268772,0.0013982094,0.00049978966,0.0040450376,0.0012153052],"domain_scores_gemma":[0.9917374,0.0027667307,0.00046682302,0.00045283395,0.0041294736,0.00044674252],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.01258552,0.00020454003,0.00041678618,0.001117287,0.0021904642,0.00026095632,0.0012270194,0.00028589938,0.00021009626],"category_scores_gemma":[0.0014701193,0.00016765154,0.000464175,0.004779777,0.0009607913,0.0008919819,0.00000622728,0.0017498176,0.000025093075],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012606535,0.0003184473,0.832432,0.0005237229,0.00018284055,0.000056015328,0.035281196,0.001780012,0.0021112969,0.10394795,0.011966415,0.010139493],"study_design_scores_gemma":[0.0009919677,0.00027772944,0.8208942,0.000506497,0.000058479927,3.0280038e-8,0.010182207,0.00012718004,0.0009128161,0.12674025,0.039090242,0.00021842247],"about_ca_topic_score_codex":0.010129118,"about_ca_topic_score_gemma":0.064772844,"teacher_disagreement_score":0.054643724,"about_ca_system_score_codex":0.0003845761,"about_ca_system_score_gemma":0.0013185872,"threshold_uncertainty_score":0.99910855},"labels":[],"label_agreement":null},{"id":"W4319231614","doi":"10.1016/j.tbs.2023.01.005","title":"Gender differentials in travel behavior among TOD neighborhoods: Contributions of built environment and residential self-selection","year":2023,"lang":"en","type":"article","venue":"Travel Behaviour and Society","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Ministry of Education, India","keywords":"TRIPS architecture; Built environment; Travel behavior; Typology; Propensity score matching; Public transport; Transport engineering; Geography; Selection (genetic algorithm); Transit-oriented development; Private transport; Matching (statistics); Demographic economics; Business; Psychology; Engineering; Economics; Computer science; Statistics; Mathematics; Civil engineering","score_opus":0.02539515687838148,"score_gpt":0.29985800170652477,"score_spread":0.2744628448281433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319231614","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986404,0.00008444677,0.0003248814,0.00007484564,0.00008506252,0.00047592743,0.00011373941,0.000056093686,0.0001445959],"genre_scores_gemma":[0.9988917,0.00061429944,0.000088908186,0.000009527184,0.00006346478,0.000057370013,0.000042697302,0.000011518972,0.00022052451],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984653,0.00011166861,0.0003722264,0.00034874034,0.0003359619,0.00036607607],"domain_scores_gemma":[0.9995593,0.000053267013,0.000098911216,0.00010887377,0.000038587743,0.00014108792],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006489397,0.00014864214,0.0002824791,0.00005541534,0.0004147131,0.000054833246,0.00010700918,0.0002411202,0.00013725704],"category_scores_gemma":[0.000010941034,0.00015099188,0.00014302145,0.00025834158,0.0003846344,0.0002283205,0.000029630153,0.00020394473,0.0000014375064],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000063798107,0.00021165158,0.9800358,0.000018117818,0.000019935971,0.0000024215858,0.015760656,5.753755e-7,0.0032785875,0.0003866882,0.000060867318,0.00021834577],"study_design_scores_gemma":[0.0007216148,0.000028056607,0.9907131,0.00000971711,0.000180461,2.9934455e-7,0.0063609933,0.00004569213,0.001420134,0.00035492462,0.000005471475,0.00015951683],"about_ca_topic_score_codex":0.006981231,"about_ca_topic_score_gemma":0.0022475547,"teacher_disagreement_score":0.010677346,"about_ca_system_score_codex":0.00008443136,"about_ca_system_score_gemma":0.000080957616,"threshold_uncertainty_score":0.99963135},"labels":[],"label_agreement":null},{"id":"W4319346768","doi":"10.1123/apaq.2022-0080","title":"Outdoor Physical Activity and Play Among Canadian Children and Youth With Disabilities During the COVID-19 Pandemic: Findings From the National Physical Activity Measurement Study","year":2023,"lang":"en","type":"article","venue":"Adapted Physical Activity Quarterly","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University; Toronto Metropolitan University; University of Toronto","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Physical activity; Psychology; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Developmental psychology; Gerontology; Medicine; Virology; Physical therapy","score_opus":0.06467574955440118,"score_gpt":0.30588939041589885,"score_spread":0.24121364086149766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319346768","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957666,0.0000033944052,0.00001464753,0.0019427937,0.00005022967,0.0012924251,0.0006414635,0.00018954568,0.000098935256],"genre_scores_gemma":[0.99915963,0.0000012081331,9.496892e-7,0.000046681926,0.00060230435,0.0001000944,0.000016990143,0.000026200332,0.00004592654],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99614453,0.00069927296,0.00011530979,0.0008751992,0.0014973382,0.0006683436],"domain_scores_gemma":[0.9975291,0.0013699676,0.00012616086,0.00034129957,0.00011209241,0.00052141614],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0008082198,0.00039508913,0.0004941891,0.000056821107,0.0022720078,0.00034750687,0.00043127607,0.000091487556,0.000007592868],"category_scores_gemma":[0.00021734621,0.00024612714,0.00014499335,0.00056501006,0.0015414027,0.0010213642,0.000057772308,0.0007243842,0.000006966303],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002718734,0.0016131237,0.8272309,0.000009724052,0.00024531802,0.0000023693826,0.16498041,0.000014677101,0.0007617798,0.00011138178,0.000031796,0.004726695],"study_design_scores_gemma":[0.0008117674,0.00024151854,0.98321265,0.00001355262,0.00014569033,3.74619e-7,0.01393084,0.00044724916,0.000100091915,0.00074109575,0.000012502586,0.00034265697],"about_ca_topic_score_codex":0.4845706,"about_ca_topic_score_gemma":0.5202804,"teacher_disagreement_score":0.15598181,"about_ca_system_score_codex":0.00052433327,"about_ca_system_score_gemma":0.0005544779,"threshold_uncertainty_score":0.9999991},"labels":[],"label_agreement":null},{"id":"W4319442399","doi":"10.3389/frsc.2022.775340","title":"Exploring barriers and perceptions to walking and cycling in Nairobi metropolitan area","year":2023,"lang":"en","type":"article","venue":"Frontiers in Sustainable Cities","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Frontiers Foundation","keywords":"Cycling; Metropolitan area; Population; Business; TRIPS architecture; Geography; Transport engineering; Environmental health; Medicine; Engineering","score_opus":0.03471568898756705,"score_gpt":0.2834550933793201,"score_spread":0.24873940439175307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319442399","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99258316,0.00042642775,0.00028074108,0.0006098591,0.00026267138,0.00026907065,0.0000034701213,0.00009517542,0.005469429],"genre_scores_gemma":[0.99451995,0.00048615172,0.0006284583,0.000046789406,0.00006001496,0.000089089,0.0000032142293,0.000012148468,0.0041542132],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9985665,0.000090805,0.00021142766,0.0002973081,0.00017637116,0.0006575987],"domain_scores_gemma":[0.9995758,0.000067342946,0.00002466714,0.00010527728,0.00004414281,0.00018276795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009665798,0.000112136375,0.00021655075,0.0006818553,0.0005761856,0.00014163512,0.00013132683,0.00006109324,0.000027816493],"category_scores_gemma":[0.0003764045,0.00012564234,0.000026665286,0.0010982999,0.0003557198,0.0008788068,0.00006594096,0.0001519317,7.1762224e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001242888,0.0000043505615,0.8816886,0.00007404708,0.0000044863896,0.00003808902,0.1109673,0.000034802546,0.0000043590326,0.0055402885,0.00050391495,0.0011273399],"study_design_scores_gemma":[0.00013134601,0.000009421879,0.25100708,0.00003874142,0.000004237399,6.472359e-8,0.7348475,0.000056970173,0.0000056621116,0.011085575,0.0026898724,0.00012355323],"about_ca_topic_score_codex":0.009357786,"about_ca_topic_score_gemma":0.0042523956,"teacher_disagreement_score":0.6306815,"about_ca_system_score_codex":0.0006204752,"about_ca_system_score_gemma":0.00011275839,"threshold_uncertainty_score":0.997239},"labels":[],"label_agreement":null},{"id":"W4319746652","doi":"10.1016/j.tbs.2023.02.001","title":"Modeling daily in-home activities using machine learning techniques","year":2023,"lang":"en","type":"article","venue":"Travel Behaviour and Society","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Duration (music); Machine learning; Artificial intelligence; Support vector machine; Computer science; Activities of daily living; Artificial neural network; TRIPS architecture; Regression analysis; Engineering; Psychology; Transport engineering","score_opus":0.049383880740946726,"score_gpt":0.3265035160855221,"score_spread":0.27711963534457534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319746652","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982697,0.000101258076,0.00064196484,0.00007731527,0.00005513699,0.00013593794,0.0000104015,0.00023983917,0.00046848675],"genre_scores_gemma":[0.9981712,0.00033590058,0.00083719444,0.000027468512,0.00006908171,0.000008471268,0.000014407705,0.00001425784,0.00052203704],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99896127,0.00006171349,0.00017899174,0.00024120978,0.0002216662,0.00033516908],"domain_scores_gemma":[0.99976563,0.00003350068,0.00003101239,0.00007542685,0.00002296115,0.00007147956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008054862,0.000111325244,0.00017999149,0.00004893301,0.0006130528,0.0000780688,0.00011036575,0.00014466418,0.000030285295],"category_scores_gemma":[0.000008050699,0.000112431204,0.000107163694,0.00034402477,0.00017619642,0.00031449925,0.000027322134,0.00031287165,9.502824e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000040038267,0.00002886773,0.9600803,0.00001651262,0.0000051171496,0.0000044271233,0.037394814,0.000066313514,0.0014141005,0.00013115302,0.0000053729996,0.0008490124],"study_design_scores_gemma":[0.00050725974,0.000035511082,0.850109,0.00008509481,0.000063075015,7.2441503e-7,0.08154796,0.06443368,0.001147617,0.0014121032,0.00008208159,0.00057590276],"about_ca_topic_score_codex":0.012625373,"about_ca_topic_score_gemma":0.0019953568,"teacher_disagreement_score":0.109971315,"about_ca_system_score_codex":0.00006778266,"about_ca_system_score_gemma":0.000073689866,"threshold_uncertainty_score":0.99394965},"labels":[],"label_agreement":null},{"id":"W4319827767","doi":"10.17269/s41997-023-00747-8","title":"Factors associated with bicycle helmet use and proper fit: a cross-sectional survey of Montreal cyclists during the COVID-19 pandemic","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"McGill University; Montreal General Hospital; McGill University Health Centre","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Cross-sectional study; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Medicine; Virology; Outbreak","score_opus":0.3314098233310167,"score_gpt":0.3911561398209307,"score_spread":0.05974631648991402,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319827767","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99738663,0.00010893339,0.0000094904435,0.0017559994,0.00014071005,0.00016624006,0.00037432657,0.000017136423,0.000040499504],"genre_scores_gemma":[0.9993151,0.00002593402,0.0000017888005,0.00023145469,0.000058173326,0.0000015393937,0.000023920153,0.000009222402,0.00033285999],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99771684,0.00072956574,0.00045218357,0.00014928191,0.000394202,0.0005579398],"domain_scores_gemma":[0.9967624,0.0005466445,0.00042323282,0.00010353312,0.00042535146,0.0017388295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0070158225,0.000093839306,0.00024098443,0.00025026538,0.0010116328,0.00028659392,0.00026356225,0.00008703964,0.00008884126],"category_scores_gemma":[0.004324385,0.00005919183,0.0000512833,0.00094440556,0.0005822455,0.0005783627,0.0000074865025,0.00026893924,3.9319198e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007850402,0.000012184145,0.9940096,0.000016874565,0.00003590477,0.000008138624,0.0055899355,0.000022257174,0.0000010510164,0.000015373998,0.00017665437,0.000104142215],"study_design_scores_gemma":[0.0003360755,0.000036385445,0.99793154,0.000010938303,0.0000027895048,0.0000022178215,0.00072899833,0.0000057221882,2.3751e-7,0.000038079215,0.00084301335,0.00006402282],"about_ca_topic_score_codex":0.6634136,"about_ca_topic_score_gemma":0.9797528,"teacher_disagreement_score":0.3163392,"about_ca_system_score_codex":0.000872355,"about_ca_system_score_gemma":0.014024871,"threshold_uncertainty_score":0.9915647},"labels":[],"label_agreement":null},{"id":"W4319836908","doi":"10.1016/j.oneear.2023.01.002","title":"Driving a sustainable road transportation transformation","year":2023,"lang":"en","type":"article","venue":"One Earth","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Electrification; Sustainability; Sustainable development; Business; Sustainable transport; Transport engineering; Environmental planning; Transformation (genetics); Engineering; Geography; Political science; Electricity","score_opus":0.019574584688238562,"score_gpt":0.2815386696417774,"score_spread":0.2619640849535388,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319836908","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97096324,0.00001812378,0.0006675173,0.0009299356,0.00007609849,0.00023496519,0.000004227149,0.000303825,0.026802061],"genre_scores_gemma":[0.9899138,0.00003506659,0.0000545121,0.00002757807,0.000089415145,0.000014096252,0.00007166001,0.0000061624582,0.009787711],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990894,0.00003914569,0.00015778746,0.00013293955,0.00026616314,0.00031454893],"domain_scores_gemma":[0.99972576,0.000019214864,0.00003406292,0.00008314388,0.000064536966,0.00007330401],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000562213,0.00005577372,0.00008525924,0.000073546464,0.0004413109,0.00006419178,0.000095106414,0.000057123292,0.00038379268],"category_scores_gemma":[0.000022217228,0.00005996032,0.000053432486,0.0006593634,0.00006246863,0.00073770515,0.0000011738881,0.00007212449,0.000119714336],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000070836286,0.00030126199,0.47140133,0.00032421766,0.00005845474,0.00006657777,0.25833008,0.00038428654,0.0018396195,0.16689536,0.0012745624,0.0990534],"study_design_scores_gemma":[0.00019725281,0.000014788433,0.95744133,0.000014009367,0.000012818213,1.48257575e-8,0.007846393,0.00011176734,0.00029627848,0.0033061437,0.030652542,0.000106671476],"about_ca_topic_score_codex":0.002955257,"about_ca_topic_score_gemma":0.01261827,"teacher_disagreement_score":0.48604,"about_ca_system_score_codex":0.000020271564,"about_ca_system_score_gemma":0.000099357974,"threshold_uncertainty_score":0.7041291},"labels":[],"label_agreement":null},{"id":"W4319839778","doi":"10.1177/03611981221145131","title":"Community-Designed Participation: Lessons for Equitable Engagement in Transportation Planning","year":2023,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Agency (philosophy); Community engagement; Equity (law); Respondent; Public relations; Public engagement; Conceptualization; Transportation planning; Public transport; Community development; Community design; Business; Community organization; Political science; Sociology; Economic growth; Economics; Transport engineering; Engineering","score_opus":0.40842759318966787,"score_gpt":0.5258394716703216,"score_spread":0.11741187848065376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319839778","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98309046,0.00015872225,0.002599251,0.010789463,0.0006016285,0.0021645888,0.00014456909,0.00008723417,0.00036405728],"genre_scores_gemma":[0.99680066,0.00045017689,0.0006631224,0.000049101047,0.00024020488,0.00041526128,0.00013853473,0.000056262932,0.0011866989],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9881297,0.0041698785,0.0018649732,0.0004361916,0.0036958866,0.0017033899],"domain_scores_gemma":[0.9923806,0.0033997113,0.00049954304,0.00049900735,0.0028000192,0.00042108382],"candidate_categories":["sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.02643442,0.0002626133,0.0005502034,0.0015006661,0.0032724945,0.00022376585,0.0015344591,0.00028005592,0.00024743465],"category_scores_gemma":[0.0006046834,0.000229613,0.0004382344,0.005120457,0.00091593695,0.001253231,0.0000059506074,0.002741522,0.000017747372],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016460844,0.0007100314,0.8541394,0.0006279774,0.00012690156,0.00008646398,0.10488212,0.009144428,0.002209617,0.012467813,0.007825866,0.006133291],"study_design_scores_gemma":[0.0018963155,0.00037285517,0.934409,0.00046095104,0.00005648809,1.4880119e-8,0.026048228,0.00010970533,0.00049301964,0.011704016,0.024225079,0.0002242762],"about_ca_topic_score_codex":0.035009306,"about_ca_topic_score_gemma":0.3682506,"teacher_disagreement_score":0.3332413,"about_ca_system_score_codex":0.0004418396,"about_ca_system_score_gemma":0.0012193759,"threshold_uncertainty_score":0.99955916},"labels":[],"label_agreement":null},{"id":"W4319840129","doi":"10.1177/03611981221145133","title":"Identifying the Determinants of Anticipated Post-Pandemic Mode Choices in the Greater Toronto Area: A Stated Preference Study","year":2023,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Pandemic; TRIPS architecture; Revealed preference; Mode choice; Public transport; Preference; Perception; Population; Travel behavior; Business; Mixed logit; Public economics; Economics; Demographic economics; Geography; Logistic regression; Coronavirus disease 2019 (COVID-19); Transport engineering; Psychology; Engineering; Microeconomics; Computer science; Environmental health; Medicine","score_opus":0.3230312730282351,"score_gpt":0.49487818727484767,"score_spread":0.17184691424661258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319840129","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99627477,0.0001377984,0.000027663167,0.0009407559,0.0002528924,0.0021317708,0.000082070386,0.00003213457,0.000120145734],"genre_scores_gemma":[0.9985036,0.0007880395,0.000031378688,0.000023384126,0.000081650265,0.00013028336,0.000015732954,0.000026033917,0.00039986422],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98830533,0.0037653192,0.001671622,0.0004184213,0.004822056,0.0010172405],"domain_scores_gemma":[0.9940738,0.0017682499,0.00055748544,0.000582713,0.0028323322,0.00018543914],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014885178,0.00022253192,0.0004812432,0.00055982487,0.0012092219,0.00021840434,0.0025076787,0.00015555191,0.00026093583],"category_scores_gemma":[0.00035835878,0.00012205118,0.0002895824,0.0036364538,0.0010920343,0.0011915378,0.000010974799,0.0015684705,0.0000076011884],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007757367,0.00029633904,0.89974934,0.00009787107,0.00006169608,0.00008091663,0.09658065,0.00016559215,0.00050027674,0.000068656445,0.0001752239,0.001447685],"study_design_scores_gemma":[0.0010194484,0.00036007952,0.914471,0.00024698916,0.00005729543,8.4141114e-8,0.08222026,0.00011981881,0.00016410739,0.0009897084,0.00023370516,0.000117517186],"about_ca_topic_score_codex":0.23124744,"about_ca_topic_score_gemma":0.8926298,"teacher_disagreement_score":0.6613824,"about_ca_system_score_codex":0.00022150275,"about_ca_system_score_gemma":0.0009265035,"threshold_uncertainty_score":0.9300479},"labels":[],"label_agreement":null},{"id":"W4319924181","doi":"10.1177/03611981221149730","title":"Investigating Anticipated Changes in Post-Pandemic Travel Behavior: Latent Segmentation-Based Logit Modeling Approach Using Data From COVID-19 Era","year":2023,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"TRIPS architecture; Pandemic; Travel behavior; Logit; Coronavirus disease 2019 (COVID-19); Market segmentation; Mixed logit; Logistic regression; Sample (material); Business; Marketing; Geography; Computer science; Transport engineering; Econometrics; Economics; Engineering; Medicine","score_opus":0.5314920771593874,"score_gpt":0.503605091630578,"score_spread":0.027886985528809416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319924181","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98744875,0.00012552654,0.0062435325,0.0034753224,0.00031167662,0.0016538206,0.0006297743,0.0000826645,0.000028959294],"genre_scores_gemma":[0.9944063,0.00040642254,0.0037156208,0.00014969717,0.00020353442,0.00009366642,0.00090015685,0.00005542126,0.00006917123],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9889444,0.0028377443,0.0016303259,0.0008063869,0.0045212945,0.0012598148],"domain_scores_gemma":[0.9943314,0.0016476777,0.0005189033,0.00071322324,0.002024326,0.00076446857],"candidate_categories":["metaepi_narrow","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.014255609,0.00029113377,0.00056042103,0.0015875191,0.0014905934,0.00026494567,0.002252374,0.00032535382,0.0003445165],"category_scores_gemma":[0.0009392407,0.00024863044,0.00022101695,0.0048756893,0.0010500943,0.0011354167,0.000018077264,0.002385405,0.000009353815],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035524214,0.00027667783,0.9345827,0.00016984838,0.000063663625,0.00009634452,0.013928682,0.041446555,0.0076774405,0.000070932074,0.00016724506,0.0011646368],"study_design_scores_gemma":[0.0018799551,0.000112891204,0.906476,0.00025357,0.00010900008,7.85761e-8,0.019723944,0.06947844,0.00025788895,0.0013311014,0.000093324714,0.00028379724],"about_ca_topic_score_codex":0.26595858,"about_ca_topic_score_gemma":0.54870117,"teacher_disagreement_score":0.28274262,"about_ca_system_score_codex":0.00070238934,"about_ca_system_score_gemma":0.004455746,"threshold_uncertainty_score":0.9999966},"labels":[],"label_agreement":null},{"id":"W4320034114","doi":"10.1016/j.jtrangeo.2023.103550","title":"Measuring accessibility to parks: Analyzing the relationship between self-reported and calculated measures","year":2023,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Destinations; Sample (material); Geography; Perception; Psychology; Transport engineering; Applied psychology; Tourism; Engineering","score_opus":0.08960968508040167,"score_gpt":0.3312335156176665,"score_spread":0.24162383053726483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320034114","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964047,0.00040654305,0.0005768567,0.0016474945,0.000212073,0.00029885978,0.000010904235,0.00013752215,0.00030506702],"genre_scores_gemma":[0.9993283,0.00010665452,0.00022339124,0.00003548433,0.00026076083,0.0000050566973,0.0000073991027,0.000014112906,0.00001884174],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970811,0.0002545899,0.0010199931,0.0002892242,0.00093406264,0.00042104177],"domain_scores_gemma":[0.9979906,0.00050223374,0.0004505353,0.00027537113,0.00041376427,0.0003674677],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006272843,0.0001756629,0.00039018603,0.0005256043,0.0009347812,0.00010998023,0.00049839215,0.00014540991,0.00002340631],"category_scores_gemma":[0.00034097317,0.00012552066,0.00039322255,0.0029047756,0.00024194358,0.0005877091,0.000013219832,0.00047001557,0.0000024654876],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003622546,0.00003474884,0.9939469,0.000024317973,0.0002898954,0.000029633844,0.0045119855,0.000056609977,0.000026182297,0.000026325844,0.000042250304,0.0009749029],"study_design_scores_gemma":[0.00026388283,0.0000284331,0.99498004,0.00007178391,0.0005037605,0.0000011091695,0.0005729212,0.000003074388,0.000034613488,0.0019256157,0.001461328,0.00015342147],"about_ca_topic_score_codex":0.000890567,"about_ca_topic_score_gemma":0.0012942463,"teacher_disagreement_score":0.00593187,"about_ca_system_score_codex":0.00004295503,"about_ca_system_score_gemma":0.00020188408,"threshold_uncertainty_score":0.7189676},"labels":[],"label_agreement":null},{"id":"W4320084604","doi":"10.1007/978-3-031-20719-8_1","title":"Data, Models, and Software","year":2022,"lang":"en","type":"book-chapter","venue":"Use R!","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; McMaster University","funders":"","keywords":"Sculpture; Representation (politics); Software; Computer science; Computer graphics (images); Artificial intelligence; Engineering drawing; Visual arts; Engineering; Art","score_opus":0.1428128428413013,"score_gpt":0.3128807255960471,"score_spread":0.17006788275474582,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320084604","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013710866,0.0034713903,0.00028398345,0.00036792585,0.0005703062,0.0004075328,0.003199834,0.0002592067,0.99006873],"genre_scores_gemma":[0.010836325,0.0016881418,0.0007542439,0.0002254035,0.00037162754,0.0000048892985,0.0011302968,0.000040511073,0.9849486],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989989,0.000014751529,0.00013335719,0.00039126788,0.0003182815,0.00014347356],"domain_scores_gemma":[0.9992516,0.00007159069,0.000067741195,0.0005003444,0.00002494535,0.000083749976],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00023934859,0.000115401184,0.00016281863,0.00003499011,0.00037676096,0.00008438881,0.00044462713,0.0001367246,0.003871878],"category_scores_gemma":[0.000024377925,0.00011840614,0.00003697792,0.000016810727,0.00018929712,0.0006572581,0.00018009153,0.00024889165,0.000013628217],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003221552,0.000051106108,0.017504754,0.00011259871,0.0001276892,0.00012335503,0.005428029,0.000010227763,2.7231917e-7,0.88811845,0.047871716,0.040619582],"study_design_scores_gemma":[0.000042157928,0.00000432238,0.00032173356,0.000012309829,0.00003732269,9.7734194e-8,0.000030901592,0.000012754089,2.8685236e-8,0.057981245,0.9414114,0.00014574768],"about_ca_topic_score_codex":0.0027381834,"about_ca_topic_score_gemma":0.009061775,"teacher_disagreement_score":0.89353967,"about_ca_system_score_codex":0.00004069343,"about_ca_system_score_gemma":0.00015862756,"threshold_uncertainty_score":0.9970387},"labels":[],"label_agreement":null},{"id":"W4320479313","doi":"10.1016/j.jth.2023.101565","title":"Longitudinal associations between the school built environment and adolescents’ physical activity: Evidence from the COMPASS study.","year":2023,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; University of Alberta","funders":"Institute of Population and Public Health; Institute of Nutrition, Metabolism and Diabetes; Canadian Institutes of Health Research; Health Canada","keywords":"Recreation; Physical activity; Compass; Multilevel model; Geography; Demography; Psychology; Travel behavior; Transport engineering; Medicine; Cartography; Mathematics; Physical therapy; Sociology; Ecology; Statistics; Engineering","score_opus":0.10435690472793238,"score_gpt":0.3797882079688916,"score_spread":0.2754313032409592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320479313","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96667856,0.0003201863,0.00024038089,0.03204899,0.00015342956,0.00045737321,0.00007027011,0.000021118783,0.000009700246],"genre_scores_gemma":[0.99835217,0.0005332515,0.000015904734,0.000129168,0.0009258006,0.0000045530196,0.0000043003256,0.000008734672,0.000026118469],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997487,0.0004701234,0.00044592304,0.00020888196,0.0010472124,0.00034086595],"domain_scores_gemma":[0.99835277,0.0005896952,0.00051428116,0.00021833504,0.000057398724,0.00026754627],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031830969,0.00012768219,0.00040407715,0.000037238657,0.0011473324,0.00006589336,0.0005024357,0.000046588008,0.000031482654],"category_scores_gemma":[0.00006652726,0.000075293756,0.00016476412,0.00032341445,0.0002486684,0.0004214753,0.000016814007,0.0006433252,0.00001002505],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003147627,0.00024306987,0.98628724,0.000007464546,0.00006834554,0.000008421605,0.010692445,0.000020780428,0.000006705394,0.0000042300376,0.0003180273,0.0023117806],"study_design_scores_gemma":[0.00031488002,0.000117089505,0.9962628,0.00011388605,0.00013606837,1.4528742e-7,0.0021075306,0.0000074607024,0.0000035871649,0.00024145225,0.0006220403,0.00007306701],"about_ca_topic_score_codex":0.01092388,"about_ca_topic_score_gemma":0.0075210603,"teacher_disagreement_score":0.031919822,"about_ca_system_score_codex":0.0002186373,"about_ca_system_score_gemma":0.0005076816,"threshold_uncertainty_score":0.99566245},"labels":[],"label_agreement":null},{"id":"W4320484677","doi":"10.1155/2023/6217672","title":"Spatial Heterogeneity in the Nonlinear Impact of Built Environment on Commuting Time of Active Users: A Gradient Boosting Regression Tree Approach","year":2023,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Institute of Engineering Mechanics, China Earthquake Administration; China Earthquake Administration; National Natural Science Foundation of China","keywords":"Gradient boosting; Intersection (aeronautics); Geography; Spatial heterogeneity; Boosting (machine learning); Econometrics; Statistics; Computer science; Mathematics; Cartography; Random forest; Ecology; Machine learning","score_opus":0.03343657421440283,"score_gpt":0.3318255647072266,"score_spread":0.29838899049282375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320484677","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991949,0.000037291677,0.00028795135,0.000074650576,0.000046986355,0.00023111544,0.000033992288,0.0000066662665,0.00008641108],"genre_scores_gemma":[0.99888283,0.00006766954,0.00093114923,0.0000055331684,0.000057986137,0.0000026868145,0.000040957904,0.00000724493,0.000003957799],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983312,0.00016795627,0.00063266937,0.00012238412,0.0005702665,0.00017552664],"domain_scores_gemma":[0.9987396,0.00019294569,0.00082533376,0.00012462575,0.00006966886,0.000047800804],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010013576,0.000106205924,0.00027895445,0.00013542069,0.00010939242,0.000007016357,0.0002281787,0.000059069822,0.000010934883],"category_scores_gemma":[0.00005227144,0.000070295646,0.0002338244,0.00033834323,0.00011842624,0.00032887532,0.0000022173847,0.00022253503,5.497725e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016155317,0.00096366316,0.74416494,0.000084754116,0.000089353394,0.000027600903,0.09671083,0.10254493,0.020284174,0.000020603346,0.0000070755796,0.033486553],"study_design_scores_gemma":[0.00072173466,0.00031869838,0.9892425,0.00015732268,0.00003562371,2.7228953e-7,0.0051542474,0.00033007227,0.0038164777,0.0001447396,0.000012499623,0.00006579353],"about_ca_topic_score_codex":0.00082702364,"about_ca_topic_score_gemma":0.0011870016,"teacher_disagreement_score":0.2450776,"about_ca_system_score_codex":0.00010272329,"about_ca_system_score_gemma":0.000075689764,"threshold_uncertainty_score":0.28665733},"labels":[],"label_agreement":null},{"id":"W4320486085","doi":"10.2196/43549","title":"The Metaverse, the Built Environment, and Public Health: Opportunities and Uncertainties","year":2023,"lang":"en","type":"article","venue":"Journal of Medical Internet Research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan; University of Calgary","funders":"Japan Society for the Promotion of Science; Canadian Institutes of Health Research","keywords":"Metaverse; Field (mathematics); Key (lock); Computer science; Public health; Data science; Human–computer interaction; Knowledge management; Medicine; Virtual reality; Computer security","score_opus":0.3415665396632845,"score_gpt":0.46210954349679795,"score_spread":0.12054300383351346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320486085","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.64690006,0.0038446267,0.000026781263,0.3478374,0.00017510555,0.00009387186,0.0000015639254,0.000007385635,0.0011131933],"genre_scores_gemma":[0.94964546,0.0443774,0.000005100392,0.00028190343,0.00029575443,0.0000037398368,6.400552e-7,0.000004186849,0.0053858003],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9956196,0.0010824875,0.00033781235,0.000101455415,0.002419669,0.00043899435],"domain_scores_gemma":[0.9973665,0.0018050595,0.00011153285,0.00011479607,0.00012085828,0.0004812561],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.027549842,0.000054594962,0.00014079633,0.00010842893,0.00073222007,0.0003577487,0.0007464034,0.00007132106,0.00052518875],"category_scores_gemma":[0.0018020364,0.000025699565,0.000047530502,0.00020307164,0.0034466363,0.00019748216,0.00019285666,0.0007533614,0.00000745916],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010692053,0.00012758032,0.16187331,0.00008645285,0.000295145,0.00025033535,0.0545874,4.8947277e-7,0.000005556151,0.047733743,0.2933597,0.44157335],"study_design_scores_gemma":[0.00016191039,0.000107995686,0.031654608,0.000039777824,0.000004435528,0.000005870677,0.065778114,0.00009748537,0.0000027592118,0.00438555,0.8977261,0.00003536919],"about_ca_topic_score_codex":0.0038232065,"about_ca_topic_score_gemma":0.0035273582,"teacher_disagreement_score":0.6043664,"about_ca_system_score_codex":0.00006351192,"about_ca_system_score_gemma":0.000669254,"threshold_uncertainty_score":0.99926543},"labels":[],"label_agreement":null},{"id":"W4320519686","doi":"10.1016/j.jth.2023.101572","title":"Intersectionality and urban mobility: A systematic review on gender differences in active transport uptake","year":2023,"lang":"en","type":"review","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Intersectionality; Sociology; Gender studies; Geography","score_opus":0.16541870251090118,"score_gpt":0.41440845965268286,"score_spread":0.24898975714178168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320519686","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002301617,0.9929186,0.000029545128,0.00041616682,0.00058691256,0.0032852755,0.00020551588,0.00004518032,0.00021116492],"genre_scores_gemma":[0.012038798,0.9870819,0.000023529527,0.00029161316,0.00024579384,0.00009861219,0.000042914915,0.000044563578,0.00013229638],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.99197567,0.0011521454,0.0043323827,0.0006144977,0.0013032013,0.0006220916],"domain_scores_gemma":[0.99568623,0.0004863954,0.002708473,0.0003810191,0.00020603159,0.0005318722],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.008029908,0.0005681898,0.0060243118,0.0004977317,0.00027906767,0.000026983567,0.0006716602,0.0003698998,0.00010140645],"category_scores_gemma":[0.00014284435,0.0004041275,0.0012501731,0.0011031737,0.000308173,0.0003577794,0.000006487707,0.0015226735,0.000006034257],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004499926,0.0003839014,0.007775084,0.97344095,0.00034096252,0.000107796266,0.005275542,1.2330564e-7,3.514197e-9,0.00015411402,0.000058449135,0.012418095],"study_design_scores_gemma":[0.00038701476,0.0002893067,0.06226295,0.8952121,0.0024117348,0.000019769068,0.0014765285,2.1228365e-7,1.6914056e-8,0.0005263045,0.03687983,0.0005342274],"about_ca_topic_score_codex":0.001227454,"about_ca_topic_score_gemma":0.007313958,"teacher_disagreement_score":0.078228824,"about_ca_system_score_codex":0.00083801284,"about_ca_system_score_gemma":0.0033296924,"threshold_uncertainty_score":0.99984103},"labels":[],"label_agreement":null},{"id":"W4320729441","doi":"10.3390/su15043429","title":"Geographies of Frontline Workers: Gender, Race, and Commuting in New York City","year":2023,"lang":"en","type":"article","venue":"Sustainability","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Microdata (statistics); Workforce; Ethnic group; Census; Spatial mismatch; Demographic economics; Geography; Public use; American Community Survey; Inequality; Journey to work; Pandemic; Socioeconomics; Public transport; Business; Political science; Economic growth; Sociology; Coronavirus disease 2019 (COVID-19); Demography; Medicine; Population; Economics","score_opus":0.03967650901054461,"score_gpt":0.3252443442068508,"score_spread":0.2855678351963062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320729441","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953625,0.0006962794,0.00006121666,0.0016632266,0.000077655604,0.00041211402,0.0000053918657,0.00011832467,0.0016032718],"genre_scores_gemma":[0.99903893,0.00004603419,0.00014344687,0.000015884343,0.000059324335,0.000006183124,0.000006543463,0.0000056862436,0.00067796995],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983867,0.0002827551,0.00035253903,0.0003008262,0.00025334014,0.0004238591],"domain_scores_gemma":[0.9989827,0.0003310253,0.00009272503,0.00028417452,0.00018464639,0.00012467956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029252588,0.000105451465,0.00027369717,0.00016138364,0.000305893,0.00003504115,0.00023067932,0.00011381685,0.00007501749],"category_scores_gemma":[0.0012274164,0.00010411927,0.00007899136,0.0015751347,0.00082657137,0.00020996475,0.000074680225,0.0002216434,7.816843e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004035801,0.000057974354,0.9773182,0.00011358378,0.0000066757966,0.0000033364904,0.015498406,0.0000087287535,0.0000015355243,0.0011056631,0.00041549542,0.005429989],"study_design_scores_gemma":[0.0002583141,0.000010753412,0.877813,0.000012045262,0.000007686909,1.9121773e-8,0.03695176,0.000017749931,0.000009225458,0.08327169,0.001556405,0.000091371054],"about_ca_topic_score_codex":0.05181269,"about_ca_topic_score_gemma":0.040429488,"teacher_disagreement_score":0.099505275,"about_ca_system_score_codex":0.00014910808,"about_ca_system_score_gemma":0.0006235957,"threshold_uncertainty_score":0.97708017},"labels":[],"label_agreement":null},{"id":"W4320916047","doi":"10.1007/978-3-031-21983-2_11","title":"Industrial Composition, Remote Working and Mobility Changes in Canada and the US During the COVID-19 Pandemic: A SHAP Value Analysis of XGBoost Predictions","year":2023,"lang":"en","type":"book-chapter","venue":"Footprints of regional science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Accommodation; Government (linguistics); Coronavirus disease 2019 (COVID-19); Pandemic; Value (mathematics); Business; Demographic economics; Geography; Computer science; Economics; Medicine; Psychology","score_opus":0.09664043427002378,"score_gpt":0.3057199757480418,"score_spread":0.209079541478018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320916047","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99230254,0.00016822632,0.000016417129,0.002769976,0.00015094732,0.0005629183,0.0000862213,0.000017735516,0.003925022],"genre_scores_gemma":[0.99798995,0.00041757416,0.000011630912,0.00009040192,0.00007380256,0.0000061711485,0.000005767562,0.0000051068378,0.0013995826],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977914,0.00010898994,0.00039224143,0.00046740012,0.0010000744,0.00023987333],"domain_scores_gemma":[0.99820197,0.00080125575,0.0003920155,0.00029804825,0.00015012998,0.00015660343],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0030093638,0.00014087198,0.00039696807,0.00024805224,0.00079156953,0.000041006857,0.0006238566,0.0001197298,0.00002587214],"category_scores_gemma":[0.0003022977,0.00009474188,0.00007910526,0.0009996559,0.0055440883,0.000073185955,0.00016738956,0.00032507072,8.788982e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013174959,0.000010678766,0.98062545,0.000033941786,0.0001294438,0.0000035351143,0.0023758658,0.00055091747,0.000024130606,0.015149699,0.000013629702,0.0009509834],"study_design_scores_gemma":[0.0004835425,0.0000101290325,0.98858684,0.00014129863,0.00026907574,0.0000015966579,0.00050212635,0.0004378189,0.0000051279935,0.0073401113,0.0020672898,0.00015504005],"about_ca_topic_score_codex":0.8612143,"about_ca_topic_score_gemma":0.98359597,"teacher_disagreement_score":0.1223817,"about_ca_system_score_codex":0.0005349234,"about_ca_system_score_gemma":0.0024325296,"threshold_uncertainty_score":0.9971622},"labels":[],"label_agreement":null},{"id":"W4320916067","doi":"10.12820/rbafs.27e0284","title":"Walkability and physical activity: a protocol for systematic review and meta-analysis","year":2023,"lang":"en","type":"article","venue":"Revista Brasileira de Atividade Física & Saúde","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Walkability; Observational study; Meta-analysis; Protocol (science); Confidence interval; Study heterogeneity; Odds ratio; Association (psychology); Psychology; Test (biology); Medicine; Gerontology; Physical activity; Physical therapy; Alternative medicine","score_opus":0.10331750757618274,"score_gpt":0.41611602037902756,"score_spread":0.3127985128028448,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320916067","genre_codex":"protocol","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44398108,0.0025141756,0.0018482994,0.006388032,0.000016291106,0.5425705,0.00053675694,0.0008557138,0.0012891863],"genre_scores_gemma":[0.80887485,0.000025097595,0.00016777353,0.00026454366,0.000059767757,0.18984468,0.00001104339,0.00002247906,0.0007297693],"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","domain_scores_codex":[0.99704176,0.00087735086,0.000463619,0.0007004969,0.0004319868,0.00048478713],"domain_scores_gemma":[0.99743533,0.0012718784,0.00034384796,0.0005641767,0.00012903284,0.00025573923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029580914,0.0002962845,0.0022476593,0.000109151035,0.0004689459,0.00029335573,0.000299983,0.000098171055,0.000107347856],"category_scores_gemma":[0.0011437902,0.00021665162,0.00091190985,0.0015070199,0.00037947143,0.0004021387,0.00006530956,0.00018018203,0.000009693325],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011263108,0.00095291325,0.17172073,0.7614106,0.0442626,0.000015972148,0.0077361413,0.0000022241095,0.00020514362,0.011403227,0.0016692161,0.0005086042],"study_design_scores_gemma":[0.0009397136,0.00019430727,0.41102806,0.0032494678,0.57625514,0.0000015797661,0.00045970647,0.0007841603,0.00010369166,0.0024093275,0.0032360111,0.001338852],"about_ca_topic_score_codex":0.00021043577,"about_ca_topic_score_gemma":0.00018629142,"teacher_disagreement_score":0.7581611,"about_ca_system_score_codex":0.000083743624,"about_ca_system_score_gemma":0.00014144549,"threshold_uncertainty_score":0.88347965},"labels":[],"label_agreement":null},{"id":"W4321228128","doi":"10.4337/9781803924069.00010","title":"What constitutes a 'good city': some case studies","year":2023,"lang":"en","type":"book-chapter","venue":"Edward Elgar Publishing eBooks","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Environmental planning; Land use; Urban planning; Land-use planning; Corporate governance; Geography; Political science; Regional science; Engineering; Civil engineering; Economics; Management","score_opus":0.08975369347893992,"score_gpt":0.32665113067290513,"score_spread":0.23689743719396522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321228128","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0030287965,0.0036571808,0.000006365443,0.00252885,0.011919874,0.00086168345,0.00013864959,0.0013492481,0.97650933],"genre_scores_gemma":[0.0361232,0.00077065773,0.00009610575,0.0007088039,0.0038243518,0.000052097508,0.00008100339,0.000119546334,0.95822424],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99604195,0.00009964528,0.0007700126,0.0010405417,0.0012049956,0.00084285875],"domain_scores_gemma":[0.9971403,0.0006821487,0.0004735628,0.00071969215,0.0005839871,0.00040031018],"candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002503483,0.0005938959,0.00092103257,0.0003826489,0.0015216952,0.005488034,0.0010239816,0.00093382836,0.0002785786],"category_scores_gemma":[0.0008941817,0.0005788374,0.0004633571,0.000082949744,0.0018467439,0.005455535,0.00031793717,0.0013402584,0.00017676465],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002295291,0.000028614408,0.0008234669,0.00027259762,0.0007962587,0.006764816,0.023304107,6.956035e-7,0.0000015533453,0.8949896,0.05203258,0.020962749],"study_design_scores_gemma":[0.0003272593,0.00003076732,0.0000322902,0.000816499,0.0002559131,0.0000308678,0.0058492054,7.4293496e-7,0.000011797564,0.26015943,0.7316166,0.0008686315],"about_ca_topic_score_codex":0.0017284101,"about_ca_topic_score_gemma":0.026241584,"teacher_disagreement_score":0.679584,"about_ca_system_score_codex":0.00035005095,"about_ca_system_score_gemma":0.0010323264,"threshold_uncertainty_score":0.9997782},"labels":[],"label_agreement":null},{"id":"W4321327073","doi":"10.1155/2023/6144048","title":"The Impact of Road Functions on Road Congestions Based on POI Clustering: An Empirical Analysis in Xi’an, China","year":2023,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Natural Science Basic Research Program of Shaanxi Province; Fundamental Research Funds for the Central Universities; Social Science Foundation of Shaanxi Province","keywords":"Transport engineering; Traffic congestion; Urbanization; Point of interest; TRIPS architecture; Land use; DBSCAN; Urban spatial structure; Geography; Computer science; Cluster analysis; Urban planning; Civil engineering; Engineering","score_opus":0.0321831330337588,"score_gpt":0.38402462499686935,"score_spread":0.35184149196311054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321327073","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974386,0.000015443682,0.0012741843,0.00065234385,0.00018688751,0.00015093037,0.00004506938,0.000027408147,0.00020910527],"genre_scores_gemma":[0.99957746,0.000038046128,0.00013352704,0.000018820452,0.00008031363,0.000005630062,0.00009128671,0.000008863208,0.00004607205],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99825805,0.00018283693,0.00065343524,0.00017466533,0.0005122111,0.00021880219],"domain_scores_gemma":[0.99891526,0.00014803765,0.0004009006,0.0001943661,0.00018956198,0.00015189276],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009939104,0.00011868868,0.0002787339,0.0004555388,0.00031906666,0.000035633773,0.00021144332,0.00008015202,0.00006878635],"category_scores_gemma":[0.00008350896,0.00008323001,0.00034945685,0.0019404263,0.000121144774,0.0006320499,6.959041e-7,0.00027240487,0.0000016706828],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006107142,0.000286156,0.35667914,0.0000033459203,0.000056434914,0.00000915171,0.004024655,0.6322135,0.00012332037,0.00002215468,0.000009443242,0.005961972],"study_design_scores_gemma":[0.0005957097,0.0007361105,0.9898562,0.000028827746,0.00013485155,7.279881e-8,0.0020958509,0.006091879,0.000017283848,0.00031791007,0.000040238552,0.000085078726],"about_ca_topic_score_codex":0.001253738,"about_ca_topic_score_gemma":0.033844803,"teacher_disagreement_score":0.63317704,"about_ca_system_score_codex":0.00013186943,"about_ca_system_score_gemma":0.00024053088,"threshold_uncertainty_score":0.98378503},"labels":[],"label_agreement":null},{"id":"W4321373841","doi":"10.14293/s2199-1006.1.sor-.ppji638.v1","title":"In Search of 20-Minute Neighborhoods: Toronto’s Pedestrian Network using Walkability to Nearest Amenities","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Walkability; Pedestrian; Street network; Transport engineering; Geography; Urban design; Computer science; Built environment; Urban planning; Civil engineering; Engineering","score_opus":0.12692209953273612,"score_gpt":0.38906396153480793,"score_spread":0.2621418620020718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321373841","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9750274,0.00033436023,0.00051159505,0.0012872485,0.0016031323,0.0013296073,0.00011534927,0.00015582825,0.019635474],"genre_scores_gemma":[0.9933682,0.00009260121,0.0018581549,0.00008919791,0.0010003685,0.000038710532,0.00003366909,0.000030606017,0.003488469],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9963423,0.00044145825,0.0008322355,0.0007957593,0.0007773735,0.0008108783],"domain_scores_gemma":[0.9983187,0.00030788552,0.00016045556,0.0007165058,0.00022869729,0.00026776645],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002686525,0.0002889653,0.0006888258,0.000091654736,0.00026028033,0.00017475415,0.00092919817,0.00043756102,0.0016026113],"category_scores_gemma":[0.00017049762,0.0002911533,0.0002261204,0.0005341531,0.00042841618,0.00036598,0.00052495924,0.0005183268,0.000016383663],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000093467606,0.00015891183,0.969773,0.0004077824,0.0000427957,0.000016791222,0.020420944,0.005947739,0.000019786208,0.0009962551,0.0010400879,0.0010824364],"study_design_scores_gemma":[0.0005713739,0.00011328404,0.92584705,0.00087080733,0.00010808742,1.4011435e-7,0.027204745,0.0015272836,0.00014570431,0.036555424,0.0057100933,0.001346003],"about_ca_topic_score_codex":0.6060912,"about_ca_topic_score_gemma":0.8002335,"teacher_disagreement_score":0.19414228,"about_ca_system_score_codex":0.0008482494,"about_ca_system_score_gemma":0.0014620568,"threshold_uncertainty_score":0.99995404},"labels":[],"label_agreement":null},{"id":"W4321499793","doi":"10.3390/su15053893","title":"Elderly Walking Access to Street Markets in Chile: An Asset for Food Security in an Unequal Country","year":2023,"lang":"en","type":"article","venue":"Sustainability","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Comisión Nacional de Investigación Científica y Tecnológica; Centro de Desarrollo Urbano Sustentable","keywords":"Asset (computer security); Food security; Pension; Business; Population; Financial security; Physical access; Geography; Economic growth; Economics; Finance; Environmental health","score_opus":0.027013480238723086,"score_gpt":0.37337509125814977,"score_spread":0.3463616110194267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321499793","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956519,0.000015525071,0.00004091941,0.0011142775,0.00019531454,0.0021585422,0.0002470659,0.00019007614,0.00038638955],"genre_scores_gemma":[0.99924624,0.0000018946573,0.00003976279,0.000096809905,0.00015164298,0.0002533493,0.00016452403,0.000017732702,0.000028027309],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9964705,0.0007977414,0.0005046604,0.0008165572,0.0004466741,0.00096384244],"domain_scores_gemma":[0.9982595,0.0003969226,0.00008283692,0.00053432194,0.00043394498,0.00029250735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0066206804,0.0001999807,0.00033900453,0.00025141073,0.000402225,0.00027655164,0.00086744106,0.00022826996,0.00006737708],"category_scores_gemma":[0.0019252178,0.00021491946,0.00007151873,0.001988321,0.0002108428,0.0018023449,0.000097870136,0.00032897756,7.8684604e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002237041,0.0003982781,0.9757825,0.00019820505,0.0000035281578,0.000012626497,0.013532347,0.00005559964,0.0000018047294,0.0030403116,0.00009846416,0.006652614],"study_design_scores_gemma":[0.00047170525,0.00025740336,0.87077516,0.000014758097,0.0000052056307,1.4406628e-8,0.019772155,0.00015912717,0.0000111761965,0.106953874,0.0013343304,0.00024507602],"about_ca_topic_score_codex":0.010075076,"about_ca_topic_score_gemma":0.6415623,"teacher_disagreement_score":0.6314872,"about_ca_system_score_codex":0.0011215683,"about_ca_system_score_gemma":0.0014156458,"threshold_uncertainty_score":0.99651694},"labels":[],"label_agreement":null},{"id":"W4321768395","doi":"10.1016/j.tbs.2023.100575","title":"Exploring travel patterns of people with disabilities: A multilevel analysis of accessible taxi trips in Toronto, Canada","year":2023,"lang":"en","type":"article","venue":"Travel Behaviour and Society","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Holland Bloorview Kids Rehabilitation Hospital; The Scarborough Hospital; Environment and Climate Change Canada; University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"TRIPS architecture; Travel behavior; Transport engineering; Suicide prevention; Human factors and ergonomics; Occupational safety and health; Poison control; Geography; Gerontology; Psychology; Environmental health; Engineering; Medicine","score_opus":0.08158740277579436,"score_gpt":0.31361806204243275,"score_spread":0.2320306592666384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321768395","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987416,0.000042274158,0.00013895037,0.00004860136,0.00005970459,0.00021864759,0.0003918807,0.000018531438,0.00033977197],"genre_scores_gemma":[0.9992624,0.00024243204,0.00006487131,0.000010398963,0.000019812813,0.00004900703,0.000048267957,0.000010249603,0.00029259123],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983727,0.00005752078,0.00042904486,0.00030913815,0.0004818808,0.00034974338],"domain_scores_gemma":[0.99930876,0.00017139931,0.00012693186,0.00019175319,0.000083548985,0.00011758347],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053744996,0.00014424941,0.00052573736,0.000051924228,0.00015977476,0.00002081961,0.00021730951,0.00007791258,0.00023024205],"category_scores_gemma":[0.00002163678,0.00012678554,0.0001912447,0.00088487926,0.00017650553,0.0004014546,0.000021041345,0.000113027345,7.101166e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012418127,0.00008747218,0.894006,0.00006937987,0.000092104456,0.0000011629759,0.10513866,0.000013937452,0.0000460903,0.00008570154,0.0000132611885,0.00043377734],"study_design_scores_gemma":[0.00033469268,0.000016271191,0.74656016,0.000024880488,0.00020494827,2.1844532e-8,0.25238648,0.00017020169,0.00018001648,0.0000072006146,0.0000019290696,0.00011318281],"about_ca_topic_score_codex":0.97510886,"about_ca_topic_score_gemma":0.9916759,"teacher_disagreement_score":0.14744587,"about_ca_system_score_codex":0.0002396328,"about_ca_system_score_gemma":0.00040432627,"threshold_uncertainty_score":0.5170164},"labels":[],"label_agreement":null},{"id":"W4322097267","doi":"10.21865/ridep67.1.01","title":"Perceção do Impacto do Teletrabalho na Carreira: Validação da Escala do Impacto do Teletrabalho na Carreira para a População Portuguesa","year":2023,"lang":"pt","type":"article","venue":"Revista Iberoamericana de Diagnóstico y Evaluación - e Avaliação Psicológica","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"","keywords":"Psychology; Humanities; Art","score_opus":0.0657049691484395,"score_gpt":0.3720009323444532,"score_spread":0.3062959631960137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4322097267","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95821065,0.016959818,0.00050147437,0.0029328812,0.0029644647,0.006791812,0.004570605,0.0019185237,0.0051497505],"genre_scores_gemma":[0.9827186,0.006129877,0.00044490493,0.0013721326,0.0022520383,0.0009014404,0.001061702,0.00083465397,0.004284683],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.96630174,0.0050458745,0.0057234215,0.00657956,0.0076777386,0.008671648],"domain_scores_gemma":[0.97983843,0.0030291579,0.0034427808,0.005762992,0.001671225,0.006255398],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.010408071,0.0044844444,0.006611126,0.0018919256,0.003698483,0.005749142,0.0058879396,0.0023756763,0.010646876],"category_scores_gemma":[0.004628042,0.0044083786,0.004336906,0.01378066,0.003927564,0.002297357,0.00096809585,0.0042632488,0.002342045],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.0012017763,0.0035407282,0.71107763,0.003079133,0.002947395,0.0041244263,0.0474076,0.0004240316,0.002574494,0.002226884,0.045911003,0.17548491],"study_design_scores_gemma":[0.0066205636,0.0033541026,0.828214,0.0055465526,0.010048281,0.00027749664,0.06365992,0.0027570613,0.00038885232,0.0031119776,0.061870843,0.0141503615],"about_ca_topic_score_codex":0.01988286,"about_ca_topic_score_gemma":0.0010016533,"teacher_disagreement_score":0.16133456,"about_ca_system_score_codex":0.0046297982,"about_ca_system_score_gemma":0.0065353164,"threshold_uncertainty_score":0.9994907},"labels":[],"label_agreement":null},{"id":"W4322102398","doi":"10.1016/j.ssmph.2023.101369","title":"Barriers to and facilitators of active travel from the youth perspective: A qualitative meta-synthesis","year":2023,"lang":"en","type":"review","venue":"SSM - Population Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Children’s Health Research Institute; Lawson Health Research Institute; Western University","funders":"Canadian Institutes of Health Research; Children's Health Research Institute","keywords":"Facilitator; Vetting; Qualitative research; Psychology; Public relations; Excellence; Medical education; Applied psychology; Social psychology; Medicine; Sociology; Political science","score_opus":0.29579338847400566,"score_gpt":0.500777999118304,"score_spread":0.20498461064429835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4322102398","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0047002197,0.9818239,0.00007643163,0.001490658,0.0002374721,0.002712782,0.008618221,0.00008160453,0.000258704],"genre_scores_gemma":[0.048542146,0.9497937,0.00021290105,0.00019012117,0.00020916882,0.00051535724,0.00024071975,0.000051978313,0.0002439285],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9949181,0.0027646325,0.0008332546,0.0005844658,0.00055327296,0.00034627147],"domain_scores_gemma":[0.9965117,0.0019917295,0.00065214647,0.0003000833,0.00013483748,0.0004095144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029093074,0.00029162152,0.0017533839,0.00014565226,0.00069088995,0.000038835617,0.00030776364,0.00019430896,0.00025894793],"category_scores_gemma":[0.0021143728,0.0001934493,0.0004922868,0.00087559555,0.00027298214,0.00017041893,0.000026138003,0.00028155878,0.000009719361],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018397597,0.000015672786,0.0010095442,0.0012100929,0.0009149721,2.865833e-7,0.8580943,4.827087e-7,6.5606036e-9,0.0051188217,0.000107929845,0.13350949],"study_design_scores_gemma":[0.0000949403,0.00005052127,0.021360654,0.0015847534,0.002818564,3.162116e-8,0.93890965,6.2748336e-7,1.6731983e-7,0.00874556,0.02602793,0.00040658913],"about_ca_topic_score_codex":0.20860319,"about_ca_topic_score_gemma":0.029410286,"teacher_disagreement_score":0.1791929,"about_ca_system_score_codex":0.000506092,"about_ca_system_score_gemma":0.0012639812,"threshold_uncertainty_score":0.98830044},"labels":[],"label_agreement":null},{"id":"W4322619126","doi":"10.1155/2023/8008667","title":"Exploring the Spatial Variation of Access/Egress Distances of Subway Stations Using Mobile Phone Positioning Data in Chengdu, China","year":2023,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Residence; Ordinary least squares; Geography; Destinations; Geographical distance; Mobile phone; TRIPS architecture; Regression analysis; Transport engineering; Space (punctuation); China; Explanatory power; Variation (astronomy); Variables; Computer science; Statistics; Telecommunications; Demography; Mathematics; Engineering","score_opus":0.10761829200589824,"score_gpt":0.37011228990858125,"score_spread":0.262493997902683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4322619126","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9845833,0.0001266594,0.014403359,0.000107119944,0.00041854335,0.00021035559,0.0001116378,0.000011369082,0.000027663951],"genre_scores_gemma":[0.9981518,0.00038472202,0.001219111,0.000002549743,0.00010682335,0.0000052750956,0.00011784056,0.000008252319,0.0000036248143],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982769,0.00009259542,0.0008132126,0.00013937187,0.000527583,0.00015033707],"domain_scores_gemma":[0.99850667,0.000168577,0.00087692135,0.00017103524,0.00023966252,0.000037122194],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010538724,0.000081073464,0.00023060202,0.00018837048,0.00018685161,0.000027958115,0.00042746306,0.000031618416,0.00002275185],"category_scores_gemma":[0.00007764018,0.000067390414,0.00006490185,0.0010333429,0.00012315674,0.0031733825,0.000005524128,0.00015301377,1.5875948e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004462036,0.0002746517,0.44921795,0.00022812258,0.00007189014,0.00001547068,0.11770964,0.4061012,0.012785931,0.00083629665,0.0000029323976,0.012309727],"study_design_scores_gemma":[0.00046674404,0.000031721447,0.9888666,0.00019168739,0.000057984544,1.2301457e-7,0.0065758494,0.00050552364,0.001677991,0.0015327334,0.000024657937,0.00006838621],"about_ca_topic_score_codex":0.0026705437,"about_ca_topic_score_gemma":0.010754551,"teacher_disagreement_score":0.53964865,"about_ca_system_score_codex":0.000053998276,"about_ca_system_score_gemma":0.00018496755,"threshold_uncertainty_score":0.6001292},"labels":[],"label_agreement":null},{"id":"W4322747651","doi":"10.1007/978-3-031-23876-5_16","title":"How Location Works in Practice: A Perspective from the United States","year":2023,"lang":"en","type":"book-chapter","venue":"International series in management science/operations research/International series in operations research & management science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Perspective (graphical); Geography; Computer science; Artificial intelligence","score_opus":0.08730289261612698,"score_gpt":0.4503977931446381,"score_spread":0.3630949005285111,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4322747651","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009753726,0.00027602413,0.00084458105,0.22709319,0.0034542822,0.00663261,0.00026234635,0.00020436382,0.75147885],"genre_scores_gemma":[0.44743967,0.021446034,0.0042905533,0.0004953125,0.0006827909,0.0020657007,0.001011761,0.00009478836,0.5224734],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.98136127,0.000842194,0.0012670648,0.002553555,0.012160661,0.0018152377],"domain_scores_gemma":[0.99043673,0.0009456541,0.00013779488,0.001429541,0.006741738,0.00030855753],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity"],"consensus_categories":["sts"],"category_scores_codex":[0.02656975,0.00052693696,0.00040266244,0.009889611,0.004967103,0.0106496,0.009314645,0.00024810183,0.0008842007],"category_scores_gemma":[0.005389377,0.0004920102,0.00011480146,0.0123252105,0.015529624,0.0135608865,0.0031938436,0.002413555,0.00025426512],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021893861,0.0002996786,0.0012337221,0.000021086786,0.00010955028,0.0002398076,0.010316171,0.060363315,0.000019910382,0.9245484,0.0010127052,0.0016167562],"study_design_scores_gemma":[0.0017729636,0.00018423387,0.033258423,0.0023231988,0.000044039316,0.000004570496,0.33523116,0.044786446,0.000047179015,0.1662617,0.4146571,0.0014290034],"about_ca_topic_score_codex":0.040805772,"about_ca_topic_score_gemma":0.25302762,"teacher_disagreement_score":0.75828665,"about_ca_system_score_codex":0.009313112,"about_ca_system_score_gemma":0.0016544192,"threshold_uncertainty_score":0.99988794},"labels":[],"label_agreement":null},{"id":"W4322757372","doi":"10.1136/bmjdrc-2022-003120","title":"Mediation of an association between neighborhood socioeconomic environment and type 2 diabetes through the leisure-time physical activity environment in an analysis of three independent samples","year":2023,"lang":"en","type":"article","venue":"BMJ Open Diabetes Research & Care","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Neurological Disorders and Stroke; National Center for Chronic Disease Prevention and Health Promotion; National Institute of Diabetes and Digestive and Kidney Diseases; National Institute on Aging; Centers for Disease Control and Prevention; Drexel University; York University; Johns Hopkins University; School of Medicine, New York University; National Institutes of Health; Pennsylvania Department of Health","keywords":"Mediation; Socioeconomic status; Association (psychology); Physical activity; Leisure time; Type 2 diabetes; Psychology; Walkability; Gerontology; Environmental health; Medicine; Diabetes mellitus; Sociology; Endocrinology; Physical therapy; Social science","score_opus":0.08647159802498208,"score_gpt":0.4059113685150301,"score_spread":0.319439770490048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4322757372","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99753195,0.00007421323,0.0000013859823,0.00051781075,0.000017009896,0.0014246232,0.00027672978,0.00001134993,0.00014492507],"genre_scores_gemma":[0.99927795,0.00007618858,0.000020285654,0.000004276392,0.0000980643,0.00014489188,0.00034233867,0.0000121965395,0.0000237809],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9964415,0.001230595,0.00031012582,0.00044904996,0.0010816889,0.00048708174],"domain_scores_gemma":[0.99793226,0.0011735464,0.0002643242,0.00043485576,0.00009150295,0.000103490725],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004360932,0.00012787385,0.00057694095,0.00014841833,0.0003197559,0.00013534323,0.0007367427,0.00015615842,0.00020087803],"category_scores_gemma":[0.00018439582,0.0001071281,0.00009935763,0.00060924585,0.00039612752,0.0009179304,0.000310156,0.00028159382,0.00001557828],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000142854,0.0001439817,0.97798604,0.0000267809,0.00025863398,2.5700498e-7,0.010610936,0.0003753359,0.0010174192,0.000042563133,0.000006941233,0.009516821],"study_design_scores_gemma":[0.00021403695,0.00015402205,0.9893005,0.000009878166,0.0001579087,4.7073545e-10,0.0046528233,0.0017979183,0.0017187283,0.0018429507,0.00003188972,0.00011935652],"about_ca_topic_score_codex":0.0029283126,"about_ca_topic_score_gemma":0.0063637,"teacher_disagreement_score":0.011314442,"about_ca_system_score_codex":0.0005241842,"about_ca_system_score_gemma":0.00017049027,"threshold_uncertainty_score":0.4426752},"labels":[],"label_agreement":null},{"id":"W4323043871","doi":"10.1787/8bf57103-en","title":"Distributional effects of urban transport policies to discourage car use","year":2023,"lang":"en","type":"report","venue":"OECD environment working papers","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Warrant; Subsidy; Equity (law); Stock (firearms); Public economics; Public transport; Business; Order (exchange); Public policy; Transport policy; Economics; Transport engineering; Finance; Economic growth; Political science; Engineering","score_opus":0.04747746619686398,"score_gpt":0.30356518944914723,"score_spread":0.25608772325228324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323043871","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9240763,0.000759871,0.00010805625,0.0008862912,0.003270304,0.0020299323,0.0007662779,0.00033713793,0.06776578],"genre_scores_gemma":[0.97317487,0.0013170788,0.00005411169,0.00004489322,0.00068971363,0.00007370669,0.00060571206,0.00006755505,0.023972329],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9957897,0.000101276215,0.0006118294,0.0006906691,0.0021055646,0.0007009446],"domain_scores_gemma":[0.9985695,0.000274799,0.00030563472,0.0005163311,0.000018303026,0.00031542697],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007506029,0.00041208963,0.0006596968,0.00013283054,0.0004303863,0.000053451255,0.0005054938,0.00040596677,0.0004406209],"category_scores_gemma":[0.000089259,0.0004021958,0.00045257987,0.00023017578,0.0005988675,0.00010434374,0.000058350288,0.0003830644,0.00007422227],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026775193,0.0001367655,0.99023455,0.00023691927,0.00018071075,0.00005154886,0.003191074,0.00012464574,0.0003170274,0.00017758513,0.003014667,0.0023077258],"study_design_scores_gemma":[0.000104366976,0.000026607315,0.5928358,0.00025750772,0.00016448172,9.9205835e-8,0.00014668201,1.3657908e-7,0.0000710573,0.000015262458,0.40607455,0.00030343828],"about_ca_topic_score_codex":0.005767613,"about_ca_topic_score_gemma":0.0014269085,"teacher_disagreement_score":0.4030599,"about_ca_system_score_codex":0.00096512126,"about_ca_system_score_gemma":0.00039971955,"threshold_uncertainty_score":0.999843},"labels":[],"label_agreement":null},{"id":"W4323059171","doi":"10.1007/978-3-031-21587-2_24","title":"Rethinking the Urban Form and Quality of Walking Experience Using Geospatial Technology","year":2023,"lang":"en","type":"book-chapter","venue":"GIScience and geo-environmental modelling","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Walkability; Pedestrian; Geospatial analysis; Urban planning; Urban design; Environmental planning; Context (archaeology); Sustainability; Community design; Typology; Quality (philosophy); Place identity; Built environment; Transport engineering; Geography; Engineering; Computer science; Civil engineering; Cartography","score_opus":0.08800448212441246,"score_gpt":0.29834298991249586,"score_spread":0.21033850778808338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323059171","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9842112,0.0013838161,0.00535772,0.00014583401,0.0002145178,0.0003921643,0.000031833257,0.000059774506,0.008203108],"genre_scores_gemma":[0.99010897,0.001130404,0.00064371235,0.00003692617,0.00011999777,0.0000059136605,0.000005318457,0.000020174559,0.0079286015],"study_design_codex":"qualitative","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9977521,0.000031220603,0.00049874454,0.00063751,0.00067391346,0.00040654888],"domain_scores_gemma":[0.99908566,0.00012480881,0.000374307,0.00031072387,0.000014929089,0.000089572786],"candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0012140215,0.00024114024,0.00034673244,0.00011906099,0.0014323698,0.00008775815,0.00045989684,0.00032918702,0.00004519543],"category_scores_gemma":[0.000019631249,0.00019685156,0.00008202268,0.00010723084,0.0036192562,0.00042148322,0.00024890716,0.00040268688,0.000002349983],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000104376006,0.00011435514,0.25315902,0.00034770023,0.00011107923,0.000031568547,0.3509266,0.0031980982,0.0047352808,0.30294257,0.000007728148,0.08432162],"study_design_scores_gemma":[0.0007087486,0.00017428718,0.014604335,0.0010743489,0.0002583695,0.000006498251,0.04436253,0.045057654,0.00058364903,0.8854396,0.005487398,0.002242608],"about_ca_topic_score_codex":0.0013262896,"about_ca_topic_score_gemma":0.00051832834,"teacher_disagreement_score":0.582497,"about_ca_system_score_codex":0.00008803669,"about_ca_system_score_gemma":0.000060742113,"threshold_uncertainty_score":0.9998676},"labels":[],"label_agreement":null},{"id":"W4323075474","doi":"10.1111/gec3.12681","title":"Addressing the need for more nuanced approaches towards transit‐induced gentrification: A case for a complex systems thinking framework","year":2023,"lang":"en","type":"article","venue":"Geography Compass","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University of Waterloo","funders":"","keywords":"Gentrification; Scholarship; Economic geography; Sociology; Politics; Public transport; Perspective (graphical); Neighbourhood (mathematics); Work (physics); Process (computing); Regional science; Political economy; Political science; Economics; Economic growth; Transport engineering; Computer science; Engineering","score_opus":0.32254396735915364,"score_gpt":0.3858365661380682,"score_spread":0.06329259877891458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323075474","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8308425,0.00068927015,0.14898247,0.01184232,0.0011415214,0.004906965,0.00031303766,0.00073926686,0.00054264243],"genre_scores_gemma":[0.9953143,0.000006880508,0.0027028832,0.00015281404,0.00063123927,0.0010074276,0.00013860717,0.000023949857,0.000021893047],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9978776,0.00016034687,0.00041786753,0.00046436436,0.00044977776,0.0006300641],"domain_scores_gemma":[0.9984702,0.0005856368,0.00019641308,0.00041484964,0.00020515904,0.00012778053],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0016987155,0.0001992937,0.00034993683,0.000159846,0.0028255084,0.00045892393,0.00062041776,0.00018735096,0.000011922404],"category_scores_gemma":[0.000075572265,0.00016108106,0.0004356888,0.0013908913,0.0003588159,0.0002091367,0.000017192113,0.00020650793,0.0000018036391],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014361093,0.001219665,0.21037458,0.0038829895,0.0020767534,0.00019835551,0.4852931,0.0057956497,0.0010300025,0.1716508,0.014108414,0.10293357],"study_design_scores_gemma":[0.0045352187,0.0002242645,0.51827276,0.00068009907,0.0009598747,0.000021026532,0.2687857,0.08692504,0.00033580203,0.06897427,0.04818096,0.0021050333],"about_ca_topic_score_codex":0.0018556175,"about_ca_topic_score_gemma":0.00052434864,"teacher_disagreement_score":0.30789813,"about_ca_system_score_codex":0.000035391884,"about_ca_system_score_gemma":0.00011696159,"threshold_uncertainty_score":0.9984727},"labels":[],"label_agreement":null},{"id":"W4323108448","doi":"10.1016/j.tbs.2023.100577","title":"A mixed-methods investigation of older adults’ public transit use and travel satisfaction","year":2023,"lang":"en","type":"article","venue":"Travel Behaviour and Society","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"McMaster Institute for Research on Aging, McMaster University; McMaster University","keywords":"Public transport; Thematic analysis; Descriptive statistics; Travel behavior; Gerontology; Service (business); Population; Transit (satellite); Psychology; Medicine; Business; Transport engineering; Environmental health; Engineering; Qualitative research; Marketing; Sociology","score_opus":0.06013086203129311,"score_gpt":0.3276904638901967,"score_spread":0.2675596018589036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323108448","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99652165,0.00007125861,0.0024084132,0.00040909808,0.00012459494,0.00028204996,0.000048205755,0.00007515641,0.000059594666],"genre_scores_gemma":[0.9967563,0.00029364412,0.0026405982,0.000046759997,0.000040574905,0.000015678846,0.000045813773,0.000011622324,0.00014899943],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987236,0.0001762553,0.00027360325,0.00030471524,0.00025650932,0.00026529218],"domain_scores_gemma":[0.99936295,0.00013716113,0.00008371344,0.00011306924,0.00012196307,0.00018115388],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010999328,0.0001257607,0.00021694214,0.00004548095,0.00046797414,0.00009867699,0.00007176735,0.00021367833,0.000035591926],"category_scores_gemma":[0.000035785197,0.00012308724,0.000113392045,0.00047534393,0.0005586693,0.0005820032,0.000010369744,0.0001653072,9.690798e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000051771267,0.000019636176,0.9195973,0.000049700702,0.000013371977,5.285809e-7,0.06616791,9.328571e-8,0.00113821,0.00059007335,0.0001345049,0.012283468],"study_design_scores_gemma":[0.00045473405,0.0000193693,0.97205293,0.000026723688,0.000056145727,3.075844e-7,0.026150396,0.00007742518,0.0006929539,0.00032135568,0.000013029159,0.00013462866],"about_ca_topic_score_codex":0.0053711124,"about_ca_topic_score_gemma":0.0025930842,"teacher_disagreement_score":0.052455608,"about_ca_system_score_codex":0.000025956762,"about_ca_system_score_gemma":0.00008426683,"threshold_uncertainty_score":0.8119551},"labels":[],"label_agreement":null},{"id":"W4323315316","doi":"10.1016/j.tbs.2023.100574","title":"Nowhere to go – Effects on elderly's travel during Covid-19","year":2023,"lang":"en","type":"article","venue":"Travel Behaviour and Society","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Energimyndigheten","keywords":"Thematic analysis; Pandemic; Feeling; Coronavirus disease 2019 (COVID-19); Psychology; Mental health; Qualitative research; Focus group; Gerontology; 2019-20 coronavirus outbreak; Aging in place; Sociology; Social psychology; Medicine; Disease; Psychiatry; Social science","score_opus":0.03189276242810207,"score_gpt":0.3291834554614452,"score_spread":0.2972906930333431,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323315316","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9942826,0.000034688204,0.00010109719,0.002100784,0.00023447773,0.0004906707,0.00004409134,0.00023495867,0.0024766554],"genre_scores_gemma":[0.99106026,0.00008338498,0.000088533656,0.00076626067,0.00021056957,0.000043991175,0.00001801784,0.0000203634,0.007708629],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982609,0.00007922176,0.00020084012,0.00048264235,0.0004244021,0.00055198],"domain_scores_gemma":[0.99894935,0.00015483283,0.000041257037,0.00020339027,0.000034205965,0.0006169793],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006295677,0.00018847766,0.00024900032,0.00004307714,0.0012395842,0.000106216896,0.00023375443,0.00021159285,0.00012917281],"category_scores_gemma":[0.00005373371,0.00018103361,0.00021753431,0.00050427235,0.00018075357,0.00012978064,0.00002721874,0.00024362635,0.00009204114],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038457114,0.00013538521,0.8788416,0.00020305776,0.000031601397,0.000056156205,0.106161304,0.0000046457035,0.002672486,0.0007788602,0.0076518343,0.0034246126],"study_design_scores_gemma":[0.0006297508,0.00007928308,0.98841816,0.000024705052,0.00003898811,3.5294335e-7,0.008734787,0.000006207894,0.00096443924,0.00029338134,0.0005587888,0.00025115642],"about_ca_topic_score_codex":0.0018666966,"about_ca_topic_score_gemma":0.0013018507,"teacher_disagreement_score":0.10957656,"about_ca_system_score_codex":0.00013718652,"about_ca_system_score_gemma":0.00015917349,"threshold_uncertainty_score":0.95340043},"labels":[],"label_agreement":null},{"id":"W4323321615","doi":"10.1016/j.cstp.2023.100989","title":"Evaluating public transit agency responses to the Covid-19 pandemic in seven U.S. regions","year":2023,"lang":"en","type":"article","venue":"Case Studies on Transport Policy","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Public transport; Agency (philosophy); Pandemic; Baseline (sea); Unemployment; Transit (satellite); Business; Recession; Demographic economics; Political science; Coronavirus disease 2019 (COVID-19); Economic growth; Economics; Medicine; Sociology","score_opus":0.34353460337907715,"score_gpt":0.4957584901421462,"score_spread":0.15222388676306903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323321615","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92154217,0.00033914673,0.00005763191,0.074454755,0.00025370318,0.00096238864,0.00013848887,0.00038650344,0.0018652384],"genre_scores_gemma":[0.9916985,0.0005575728,0.00002994465,0.004595633,0.0004444495,0.0002883047,0.000023782575,0.000025402498,0.0023363899],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99667084,0.0005944229,0.00063951116,0.0006120752,0.0006235719,0.0008596011],"domain_scores_gemma":[0.9978622,0.0009548406,0.000102645055,0.00049782655,0.00012940196,0.00045306966],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0049515734,0.00025975672,0.0003988992,0.0005619066,0.0018892627,0.00004136216,0.00048991974,0.00012522437,0.000060314145],"category_scores_gemma":[0.0024900322,0.00020033642,0.00021021628,0.0037629812,0.000601481,0.00020831151,0.0000201993,0.00033550643,0.000083974155],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003875666,0.00015577936,0.39089742,0.00016297412,0.000170726,0.0046475194,0.5759308,0.0010277574,0.000061151266,0.011201825,0.0029709942,0.012385509],"study_design_scores_gemma":[0.0031172533,0.0005294902,0.6014135,0.00016605068,0.000279802,0.00014068307,0.15232885,0.00004819049,0.000028040417,0.021940531,0.21838862,0.0016189842],"about_ca_topic_score_codex":0.009759729,"about_ca_topic_score_gemma":0.19569236,"teacher_disagreement_score":0.42360193,"about_ca_system_score_codex":0.00051519176,"about_ca_system_score_gemma":0.0015171558,"threshold_uncertainty_score":0.99941015},"labels":[],"label_agreement":null},{"id":"W4323352788","doi":"10.1155/2023/9905842","title":"Modeling Dockless Shared E-Scooter Demand by Time of Day: A Case Study of Austin","year":2023,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Variables; Regression analysis; Linear regression; Panel data; Econometrics; Transport engineering; Names of the days of the week; Computer science; Situational ethics; Predictive modelling; Statistics; Engineering; Mathematics; Psychology; Machine learning","score_opus":0.026131948473615642,"score_gpt":0.32691698108492934,"score_spread":0.3007850326113137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323352788","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973783,0.00008629299,0.0020418456,0.000050179657,0.00011516948,0.00024270637,0.000046413614,0.000017734445,0.000021397223],"genre_scores_gemma":[0.9994685,0.000032648022,0.0003560792,0.0000045480474,0.00004626423,0.000002943304,0.000020660003,0.000010133823,0.000058212856],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99827874,0.000074707554,0.00085749093,0.00013458879,0.00049525104,0.0001591996],"domain_scores_gemma":[0.9988665,0.00007410278,0.0005017397,0.00009720729,0.00037747237,0.000083008636],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008211707,0.000094618576,0.00032848763,0.00013899643,0.000112208756,0.000011342959,0.00015564887,0.00006001238,0.000057007994],"category_scores_gemma":[0.00003304449,0.00008609312,0.00010851677,0.0005199992,0.00005518713,0.000669393,0.0000016247308,0.00013008324,8.843468e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007145303,0.0013686205,0.24879129,0.00024758172,0.00021837052,0.0012956891,0.29998127,0.41675982,0.025806647,0.000027048849,0.00013132441,0.004657799],"study_design_scores_gemma":[0.014621246,0.0021441348,0.5604968,0.000961803,0.001425782,0.000025317591,0.3970673,0.011412435,0.007783855,0.0027135087,0.00029864738,0.0010491584],"about_ca_topic_score_codex":0.0006923603,"about_ca_topic_score_gemma":0.0026389344,"teacher_disagreement_score":0.4053474,"about_ca_system_score_codex":0.000025162519,"about_ca_system_score_gemma":0.00009114241,"threshold_uncertainty_score":0.35107753},"labels":[],"label_agreement":null},{"id":"W4323363638","doi":"10.1016/j.urbmob.2023.100048","title":"Who is living a local lifestyle? Towards a better understanding of the 15-minute-city and 30-minute-city concepts from a behavioural perspective in Montréal, Canada","year":2023,"lang":"en","type":"article","venue":"Journal of Urban Mobility","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":79,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Perspective (graphical); Gerontology; Sociology; Visual arts; Medicine; Art","score_opus":0.04078242390009403,"score_gpt":0.2892245577083104,"score_spread":0.24844213380821636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323363638","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99473995,0.00068774336,0.00016593332,0.0033819964,0.00034567283,0.0002916199,0.000131208,0.000014106771,0.00024176118],"genre_scores_gemma":[0.99941474,0.000039910447,0.000036121688,0.00021213092,0.0001691552,0.0000036959982,8.832747e-7,0.000010029983,0.00011331409],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99705064,0.00043034647,0.0007748084,0.00035591357,0.00096196856,0.00042629396],"domain_scores_gemma":[0.9980926,0.0005597039,0.00052453735,0.00028760775,0.0002963041,0.0002392468],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019592177,0.00020327745,0.00056915375,0.00008834539,0.00035573303,0.00007350858,0.0004912329,0.00016142802,0.00027045276],"category_scores_gemma":[0.00054671575,0.00015520347,0.0002318204,0.0006408224,0.000985372,0.00045266206,0.00011655199,0.00064472697,3.772212e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052054227,0.00011654645,0.9655399,0.000015782487,0.000044195618,0.000033054603,0.03102921,0.0000057720913,0.000024286679,0.000050675895,0.002893541,0.0001950172],"study_design_scores_gemma":[0.0004512341,0.0000496729,0.957288,0.00018058042,0.00006800042,0.0000010924695,0.03842606,0.00011781707,0.000108299435,0.0030149708,0.00013871733,0.00015550994],"about_ca_topic_score_codex":0.8657633,"about_ca_topic_score_gemma":0.9194784,"teacher_disagreement_score":0.053715065,"about_ca_system_score_codex":0.0020295416,"about_ca_system_score_gemma":0.0016736691,"threshold_uncertainty_score":0.6329014},"labels":[],"label_agreement":null},{"id":"W4323536505","doi":"10.1177/23998083231159905","title":"Developing a national dataset of bicycle infrastructure for Canada using open data sources","year":2023,"lang":"en","type":"article","venue":"Environment and Planning B Urban Analytics and City Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University; Simon Fraser University","funders":"","keywords":"Cycling; Equity (law); Transport engineering; Sample (material); Transport infrastructure; Transportation infrastructure; Critical infrastructure; Infrastructure planning; Green infrastructure; Business; Computer science; Geography; Engineering; Environmental planning; Computer security","score_opus":0.13362751957371086,"score_gpt":0.36059758544269427,"score_spread":0.2269700658689834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323536505","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997141,0.000075132084,0.00091261073,0.00022486127,0.000048168036,0.0001323229,0.001353619,0.0000046373298,0.00010766307],"genre_scores_gemma":[0.9973442,0.000023909926,0.002053599,0.00008311802,0.00004432549,9.2030876e-7,0.00037594745,0.000002257622,0.00007173346],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989366,0.000012809328,0.00015201377,0.00030593312,0.00039824372,0.00019442801],"domain_scores_gemma":[0.9995717,0.0000908012,0.00009168945,0.00014078867,0.000019701996,0.00008535457],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013065785,0.00006326244,0.000107600164,0.00005763194,0.0007882399,0.00015487267,0.00064411445,0.000024550458,0.00001621918],"category_scores_gemma":[0.00011274463,0.0000581725,0.0000061813225,0.00028583483,0.0005569206,0.00044060205,0.0003579264,0.000044669872,1.02809885e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000052646524,0.0000035567125,0.99439305,0.000013462974,0.00000825491,0.0000010031594,0.0009969106,0.0006032874,0.00007705418,0.00051757,0.0031198328,0.000260767],"study_design_scores_gemma":[0.00017638417,0.000009984229,0.9014159,0.000031303352,0.000024716985,2.393139e-7,0.0023603812,0.039547067,0.00007094841,0.0019078174,0.054275546,0.00017975521],"about_ca_topic_score_codex":0.05717489,"about_ca_topic_score_gemma":0.025778288,"teacher_disagreement_score":0.09297718,"about_ca_system_score_codex":0.00008149713,"about_ca_system_score_gemma":0.0008490243,"threshold_uncertainty_score":0.99199873},"labels":[],"label_agreement":null},{"id":"W4323842293","doi":"10.3389/phrs.2023.1605474","title":"An Umbrella Review of the Best and Most Up-to-Date Evidence on the Built Environment and Physical Activity in Older Adults ≥60 Years","year":2023,"lang":"en","type":"review","venue":"Public health reviews","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alberta Library; University of Alberta","funders":"Public Health Agency; Public Health Agency of Canada","keywords":"Critical appraisal; Cycling; Physical activity; Systematic review; Gerontology; Inclusion (mineral); Causality (physics); Inclusion and exclusion criteria; Psychology; MEDLINE; Medicine; Physical therapy; Geography; Alternative medicine; Social psychology; Political science","score_opus":0.3006190629890328,"score_gpt":0.46910208516669877,"score_spread":0.16848302217766598,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323842293","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0030180148,0.9734464,0.0000016367607,0.017231494,0.00012287367,0.006074874,0.00004406313,0.000013467308,0.00004712356],"genre_scores_gemma":[0.0006038656,0.99622554,0.000007963275,0.0024551114,0.00013051726,0.00045683858,0.0000079194915,0.000023938037,0.000088315384],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99354374,0.0037368082,0.00090424187,0.00071925553,0.0005805165,0.0005154232],"domain_scores_gemma":[0.9971466,0.0007042551,0.0008101075,0.0009235101,0.000036514248,0.00037898772],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010049039,0.000321161,0.0019086855,0.00006964832,0.00027766675,0.00007422571,0.00088814256,0.00012463891,0.000035181147],"category_scores_gemma":[0.0013765681,0.00017206145,0.00024285344,0.0011256797,0.00034993704,0.0002320672,0.00014688518,0.0006061112,0.00004687576],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000011362534,0.00009903155,0.00025307672,0.079157144,0.0000054820243,6.502354e-7,0.0015735646,4.597255e-9,1.5214518e-8,0.000057551864,0.0008006237,0.9180517],"study_design_scores_gemma":[0.000036072903,0.000037071946,0.0054240664,0.15495986,0.00004877991,1.9545554e-7,0.00006271199,7.359104e-7,2.6051575e-8,0.000010269953,0.8392808,0.0001394551],"about_ca_topic_score_codex":0.0033121088,"about_ca_topic_score_gemma":0.0015000402,"teacher_disagreement_score":0.91791224,"about_ca_system_score_codex":0.00016868276,"about_ca_system_score_gemma":0.0007021986,"threshold_uncertainty_score":0.7016462},"labels":[],"label_agreement":null},{"id":"W4323851057","doi":"10.1111/cag.12830","title":"Identifying metro station types based on transfer purposes: An application of bike‐sharing data in Xiamen, China","year":2023,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Government of Jiangsu Province; National Natural Science Foundation of China","keywords":"Transport engineering; Bike sharing; Transfer station; Transfer (computing); Metro station; Computer science; Civil engineering; Engineering","score_opus":0.03046251310810107,"score_gpt":0.2821273860353661,"score_spread":0.251664872927265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323851057","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99619,0.00023774116,0.00010027426,0.00058985816,0.00027964948,0.00062950526,0.00073402026,0.00014660989,0.0010923134],"genre_scores_gemma":[0.9979579,0.00027002665,0.00009946523,0.000107177955,0.0000748103,0.000079175974,0.0013396501,0.00003299737,0.000038810183],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973101,0.00012500033,0.00048160696,0.0007784589,0.0004208158,0.00088399457],"domain_scores_gemma":[0.9981077,0.00011106879,0.00009382741,0.0009837818,0.000116920346,0.0005867494],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012363363,0.00024277657,0.00032785698,0.005326111,0.00062731927,0.00013826683,0.0012194467,0.00016416456,0.00006435727],"category_scores_gemma":[0.00010937805,0.00027112625,0.00011883081,0.010485951,0.0008626988,0.0008840286,0.000023318169,0.00020066294,0.0000042210854],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026216683,0.000041529835,0.9799294,0.00008879488,0.000034174373,0.000017441385,0.0050046137,0.00022052377,0.00004564515,0.0047317054,0.000126645,0.009733309],"study_design_scores_gemma":[0.00031214775,0.00006575732,0.9762871,0.00007611405,0.00004803892,1.0724367e-7,0.014394975,0.0014585704,0.000033738834,0.0034141168,0.0035416868,0.0003676177],"about_ca_topic_score_codex":0.92789805,"about_ca_topic_score_gemma":0.999415,"teacher_disagreement_score":0.07151691,"about_ca_system_score_codex":0.0001230041,"about_ca_system_score_gemma":0.00032900865,"threshold_uncertainty_score":0.9999741},"labels":[],"label_agreement":null},{"id":"W4324139910","doi":"10.1161/circ.147.suppl_1.p648","title":"Abstract P648: Flattening the Curve: A Behavioural Economics Approach to Increase Activity in Summer Months","year":2023,"lang":"en","type":"article","venue":"Circulation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Children's Hospital Research Institute of Manitoba","funders":"","keywords":"Cycling; Morning; Medicine; Demography; Replicate; Attendance; Data collection; Population; Names of the days of the week; Statistics; Geography; Environmental health; Mathematics; Forestry","score_opus":0.07597670979512668,"score_gpt":0.3155712189618867,"score_spread":0.23959450916676006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4324139910","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99260867,0.000008340734,0.00009147692,0.0004383184,0.00010829649,0.00036023,0.000007070065,0.00006826614,0.00630934],"genre_scores_gemma":[0.9997242,0.000002497337,0.000021658516,0.000036659778,0.00009474757,0.000027409484,0.000031139687,0.0000074558225,0.000054207558],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99920654,0.00007141285,0.00015411791,0.00021729339,0.00012791438,0.0002227254],"domain_scores_gemma":[0.99961865,0.0000746571,0.000058012734,0.00015543097,0.000024059553,0.000069176705],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009837577,0.000070299204,0.00009538638,0.00007375667,0.00027885853,0.00007912013,0.00015770845,0.00007228016,0.000026212685],"category_scores_gemma":[0.000059971426,0.00006274149,0.000052704076,0.00043013642,0.000060765444,0.00040496181,0.000015988686,0.00012365391,0.000033216875],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009491021,0.000035768393,0.9900119,0.000003922737,0.0000025265938,7.923754e-7,0.0035085373,0.0015346947,0.0001098823,0.00027993004,0.000034900917,0.0044676675],"study_design_scores_gemma":[0.00010052472,0.0000010948658,0.9961837,0.000004610236,0.0000060557677,3.2740974e-8,0.0006797666,0.0024195039,0.000016896627,0.00037359222,0.00013285289,0.0000813549],"about_ca_topic_score_codex":0.020989476,"about_ca_topic_score_gemma":0.0151518285,"teacher_disagreement_score":0.007115563,"about_ca_system_score_codex":0.00012860597,"about_ca_system_score_gemma":0.00009281919,"threshold_uncertainty_score":0.98552984},"labels":[],"label_agreement":null},{"id":"W4324146639","doi":"10.1177/03611981231155434","title":"How Has Anticipated Post-Pandemic Ride-Sourcing Use Changed During the COVID-19 Pandemic? Evidence from a Two-Cycle Survey of the Greater Toronto Area","year":2023,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Hudbay Minerals (Canada); University of Toronto","funders":"","keywords":"Pandemic; Business; Coronavirus disease 2019 (COVID-19); Paratransit; Survey data collection; Marketing; Service (business); Medicine; Infectious disease (medical specialty)","score_opus":0.4334077726430426,"score_gpt":0.4571213123936928,"score_spread":0.023713539750650214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4324146639","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98521173,0.00037557152,0.00018648455,0.011645482,0.00046814253,0.0015561214,0.00047012657,0.00007732757,0.000008983776],"genre_scores_gemma":[0.99700844,0.0015948962,0.000052744123,0.000087033346,0.00021423282,0.000064240085,0.000046866844,0.000049267568,0.00088228175],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9858302,0.0057273773,0.0014256155,0.00060725235,0.0051558786,0.0012536686],"domain_scores_gemma":[0.98759466,0.005943395,0.0008276012,0.0008864035,0.004170279,0.0005776685],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.016511224,0.00030833425,0.00060013036,0.00042031705,0.0029557582,0.0005615947,0.002586586,0.00025351465,0.00044970983],"category_scores_gemma":[0.0036077937,0.00018193386,0.0005539399,0.0036173686,0.0022738772,0.0019693868,0.000026136178,0.0019783298,0.00000602706],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016626089,0.000063646,0.9581831,0.00012579739,0.00014160041,0.000040181283,0.032072995,0.00073326565,0.0061583202,0.000018629416,0.0004293924,0.00037043815],"study_design_scores_gemma":[0.0012532829,0.00011265304,0.98793095,0.00043153513,0.000085279935,2.3070267e-7,0.008066769,0.00010914779,0.00057565264,0.00039627225,0.0008412428,0.00019697906],"about_ca_topic_score_codex":0.6739846,"about_ca_topic_score_gemma":0.9444622,"teacher_disagreement_score":0.27047756,"about_ca_system_score_codex":0.0007899652,"about_ca_system_score_gemma":0.0022087533,"threshold_uncertainty_score":0.9983423},"labels":[],"label_agreement":null},{"id":"W4324193881","doi":"10.1007/s11116-023-10378-0","title":"Exploring the spatiotemporal factors affecting bicycle-sharing demand during the COVID-19 pandemic","year":2023,"lang":"en","type":"article","venue":"Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hudbay Minerals (Canada); University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; School of Cities, University of Toronto","keywords":"TRIPS architecture; Pandemic; Recreation; Neighbourhood (mathematics); Equity (law); Multilevel model; Business; Geography; Transport engineering; Coronavirus disease 2019 (COVID-19); Demographic economics; Economics; Engineering; Computer science; Political science","score_opus":0.21137248889238952,"score_gpt":0.35819968315267164,"score_spread":0.14682719426028212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4324193881","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99746746,0.00002895006,0.0002820991,0.00077835075,0.0003389077,0.00041370018,0.000013447315,0.00050475204,0.0001723579],"genre_scores_gemma":[0.99931514,0.00006767028,0.0000069116877,0.000058097965,0.00019667979,0.00004183136,0.000063577245,0.00001606124,0.00023400587],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99855316,0.00010509005,0.00029038932,0.00029004648,0.00040707685,0.00035421673],"domain_scores_gemma":[0.9991801,0.00034756016,0.00012079126,0.00020439367,0.000030800446,0.00011639897],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0014122077,0.00012762369,0.00012278897,0.00007355392,0.0020689091,0.00010149897,0.00034135533,0.000052725147,0.000075373035],"category_scores_gemma":[0.00011171527,0.000082177685,0.000108314765,0.00081247475,0.00017549373,0.00066131493,0.0000050193817,0.00021855674,0.000013623703],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012262295,0.000006329992,0.9241783,0.000042053736,0.000011128444,0.000004220215,0.07438615,0.0006645675,0.00021482985,0.00012836521,0.0000068885643,0.00034489337],"study_design_scores_gemma":[0.00016937895,0.0000046049577,0.983263,0.000012924602,0.000027041917,8.94901e-8,0.015125071,0.000033681394,0.00022258988,0.0005173304,0.0005101761,0.00011411224],"about_ca_topic_score_codex":0.010356956,"about_ca_topic_score_gemma":0.056063395,"teacher_disagreement_score":0.05926108,"about_ca_system_score_codex":0.000112402224,"about_ca_system_score_gemma":0.0000877123,"threshold_uncertainty_score":0.99923027},"labels":[],"label_agreement":null},{"id":"W4324376641","doi":"10.3389/fresc.2023.1023582","title":"WalkRollMap.org: Crowdsourcing barriers to mobility","year":2023,"lang":"en","type":"article","venue":"Frontiers in Rehabilitation Sciences","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; University of Saskatchewan; Simon Fraser University; University of Victoria","funders":"Canadian Institutes of Health Research; Public Health Agency; Public Health Agency of Canada; University of Victoria","keywords":"Crowdsourcing; Pedestrian; Outreach; Variety (cybernetics); Data science; Scale (ratio); Computer science; Internet privacy; Transport engineering; World Wide Web; Engineering; Geography; Political science; Cartography","score_opus":0.02543969159078854,"score_gpt":0.3374237762800819,"score_spread":0.3119840846892934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4324376641","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9805204,0.000063942,0.00085386506,0.01004425,0.0015893428,0.00062206405,0.0000073056462,0.0002448315,0.006053961],"genre_scores_gemma":[0.990314,0.0000073724873,0.008446987,0.00024205979,0.00008071945,0.00008685434,0.000002527394,0.0000071476084,0.00081235275],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970664,0.00036292872,0.0004436767,0.0006652632,0.00084262993,0.00061909796],"domain_scores_gemma":[0.998721,0.00044110982,0.00007513854,0.00025826663,0.000115733994,0.0003887185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0073410543,0.00012834865,0.00023977896,0.0006480835,0.0010997787,0.0001321276,0.0006601843,0.0000993243,0.00018565635],"category_scores_gemma":[0.005465892,0.0001232391,0.00010147277,0.005379775,0.0015310659,0.000811501,0.000045209134,0.00013599294,0.00006824973],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014637439,0.00002098667,0.95512396,0.000013886084,0.0000020501732,0.0000010798367,0.03504398,0.0007806596,0.00004025597,0.00058413256,0.0061193015,0.0022550558],"study_design_scores_gemma":[0.00015637183,0.000082358165,0.88164574,0.000027637572,0.0000034120344,1.7312324e-8,0.08480065,0.00047586247,0.000034544886,0.013947119,0.018637383,0.0001888799],"about_ca_topic_score_codex":0.0014433169,"about_ca_topic_score_gemma":0.0019705826,"teacher_disagreement_score":0.073478214,"about_ca_system_score_codex":0.00025239686,"about_ca_system_score_gemma":0.0005361282,"threshold_uncertainty_score":0.845872},"labels":[],"label_agreement":null},{"id":"W4327566699","doi":"10.1177/0308518x231162091","title":"Inclusive growth, public transit infrastructure investments and neighbourhood trajectories of inequality in Montreal","year":2023,"lang":"en","type":"article","venue":"Environment and Planning A Economy and Space","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada; McGill University","funders":"Social Sciences and Humanities Research Council of Canada; McGill University","keywords":"Disadvantaged; Neighbourhood (mathematics); Public transport; Operationalization; Inequality; Global city; Downtown; Transit-oriented development; Affordable housing; Urban sprawl; Inclusive growth; Regional science; Sustainable development; Economic growth; Urban planning; Economic geography; Transport engineering; Geography; Political science; Economics; Poverty; Engineering; Civil engineering","score_opus":0.014320841404139788,"score_gpt":0.2436633311073548,"score_spread":0.22934248970321502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4327566699","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99528724,0.00056171376,0.000029260287,0.0010884888,0.000026766986,0.00013523365,0.000018809218,0.000014883945,0.0028376137],"genre_scores_gemma":[0.9993819,0.00036000993,0.00004507499,0.00005069195,0.00003805895,0.000006659076,0.000016567192,0.0000036133918,0.00009739524],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99929637,0.00006720318,0.00016285063,0.0002169649,0.00007109806,0.00018549566],"domain_scores_gemma":[0.9996833,0.00008972828,0.00006317452,0.000057136076,0.00000406876,0.00010259003],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034627397,0.000099499885,0.00018823284,0.000073744515,0.0001899138,0.00004031275,0.00005360541,0.00008765261,0.00004791779],"category_scores_gemma":[0.000019444538,0.00009604058,0.000016716982,0.00009329571,0.00028028607,0.00030142086,0.000028554376,0.00009999821,6.167546e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016560649,0.0000135481205,0.9676314,0.000029331375,0.000012685653,0.000004637905,0.02939496,0.000017781656,0.00001049429,0.0015229649,0.00003220694,0.0013134149],"study_design_scores_gemma":[0.00038772024,0.000023370401,0.98143846,0.000013799279,0.000008979859,1.7901921e-7,0.006564551,0.000055661156,0.000024515855,0.010305139,0.0010767999,0.0001008014],"about_ca_topic_score_codex":0.0020217178,"about_ca_topic_score_gemma":0.0012692994,"teacher_disagreement_score":0.02283041,"about_ca_system_score_codex":0.000021751852,"about_ca_system_score_gemma":0.000021977175,"threshold_uncertainty_score":0.39164212},"labels":[],"label_agreement":null},{"id":"W4327572178","doi":"10.1080/14927713.2023.2187866","title":"parkrun across the pond: examining location and event characteristics in Canada and the United States of America","year":2023,"lang":"en","type":"article","venue":"Leisure/Loisir","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Demographics; Geography; Coronavirus disease 2019 (COVID-19); Pandemic; Event (particle physics); Demography; Socioeconomics; Medicine; Sociology","score_opus":0.022724721896807812,"score_gpt":0.2877789869377277,"score_spread":0.2650542650409199,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4327572178","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979386,0.00009001468,0.000027302172,0.0015931523,0.00007539878,0.0001915115,0.000030412382,0.000013258016,0.000040400908],"genre_scores_gemma":[0.99933845,0.00036121754,0.000004585997,0.00013792515,0.000029141707,0.0000118360085,0.00003626829,0.0000044942594,0.00007608185],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990861,0.00016014352,0.0002173109,0.00012831218,0.00020977533,0.00019837769],"domain_scores_gemma":[0.99919176,0.00047459092,0.00011686714,0.00011995749,0.000059827216,0.000037023146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009179328,0.00006542898,0.00015071314,0.000022418444,0.0002462131,0.00004019042,0.0001410402,0.000025794257,0.000007262637],"category_scores_gemma":[0.00012143517,0.000039735816,0.000010126708,0.0006550367,0.0004437597,0.00006765759,0.00002881953,0.00010081385,4.6374512e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024648423,0.0000068686268,0.9753856,0.000021605088,0.000007520341,0.0000021366557,0.019002365,0.000034626566,0.000011753189,0.00013682559,0.00005419958,0.0053118314],"study_design_scores_gemma":[0.00020702326,0.0000072032703,0.9798378,0.000019328021,0.0000079879055,7.5882944e-8,0.014892337,0.0009662172,0.000020033178,0.0002438792,0.0037458066,0.000052348172],"about_ca_topic_score_codex":0.93438184,"about_ca_topic_score_gemma":0.93271303,"teacher_disagreement_score":0.005259483,"about_ca_system_score_codex":0.00004954722,"about_ca_system_score_gemma":0.00024574812,"threshold_uncertainty_score":0.1893697},"labels":[],"label_agreement":null},{"id":"W4327739343","doi":"10.1177/03611981231156920","title":"Who is Buying SUVs and Light Trucks in Montreal? A Factor and Cluster Analysis","year":2023,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Arup Group (Canada); McGill University","funders":"","keywords":"Truck; Metropolitan area; Externality; Transport engineering; Cluster (spacecraft); Business; Traffic congestion; Marketing; Public economics; Geography; Economics; Engineering; Computer science","score_opus":0.08908178661383069,"score_gpt":0.4155849418818076,"score_spread":0.3265031552679769,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4327739343","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98432064,0.0003093173,0.00011575385,0.013963236,0.00013743028,0.00074448617,0.000075317075,0.00002832781,0.00030546845],"genre_scores_gemma":[0.9950789,0.0026741992,0.00012055758,0.00007700504,0.0001105181,0.00003236223,0.000010997102,0.000024969277,0.0018704714],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99305016,0.0013464676,0.0011582597,0.00050667766,0.002984068,0.00095439533],"domain_scores_gemma":[0.99641234,0.0011765023,0.00028380565,0.00031427442,0.001337946,0.00047512693],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006477339,0.0002069929,0.0005697072,0.0022494048,0.0009576576,0.00026327444,0.0006706426,0.00023705274,0.0003628674],"category_scores_gemma":[0.00020151409,0.0001599927,0.0003174501,0.0066474737,0.00087877904,0.0009489661,0.000008782014,0.0015115762,0.0000079549645],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043697786,0.000066190594,0.95445347,0.00011136345,0.00017182938,0.00006909824,0.037549995,0.000075300515,0.00018034858,0.0003371659,0.0013392643,0.005208996],"study_design_scores_gemma":[0.0010245078,0.00010985406,0.9818036,0.0001481067,0.00009981581,4.186919e-8,0.0077850404,0.00020865277,0.000099739176,0.0044915914,0.004070956,0.00015808277],"about_ca_topic_score_codex":0.09437005,"about_ca_topic_score_gemma":0.70480317,"teacher_disagreement_score":0.6104331,"about_ca_system_score_codex":0.00015567336,"about_ca_system_score_gemma":0.00038347894,"threshold_uncertainty_score":0.9116606},"labels":[],"label_agreement":null},{"id":"W4327814330","doi":"10.1177/03611981231157396","title":"Analyzing the Behavior and Growth of Cycling in Four North American Cities Before, During, and After the COVID-19 Pandemic","year":2023,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"Mitacs; McGill University","keywords":"Recreation; Pandemic; Cycling; Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Geography; Demography; Medicine; Sociology; Political science; Forestry","score_opus":0.10339171922642444,"score_gpt":0.41557815690927186,"score_spread":0.31218643768284743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4327814330","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9937666,0.00021129873,0.000042018175,0.004785769,0.00009521053,0.0009964014,0.000060936716,0.000022121818,0.000019647778],"genre_scores_gemma":[0.9964072,0.003016875,0.00005810017,0.00004032502,0.00010192355,0.0001548222,0.000005848852,0.000021981054,0.00019290346],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99428797,0.0015244508,0.0010300569,0.00032348116,0.0021134766,0.00072059664],"domain_scores_gemma":[0.9964528,0.0015836575,0.00040212614,0.00027801705,0.0009592261,0.00032415584],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.007923409,0.00016644689,0.00036644653,0.0007617525,0.0012307909,0.00013416912,0.0008239971,0.00008529192,0.00006333138],"category_scores_gemma":[0.00042289184,0.00009806496,0.00019371392,0.003623569,0.003471597,0.0004990253,0.000011440698,0.0015008365,0.0000011607692],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000606549,0.000038252005,0.9782468,0.00014952796,0.000039012182,0.00006516769,0.018507155,0.000051012674,0.00008335811,0.0002151767,0.00004967478,0.001948292],"study_design_scores_gemma":[0.0006043556,0.00012179662,0.98775864,0.000075510194,0.000050098384,3.3938892e-7,0.009213386,0.0000133260055,0.000025320387,0.0017358003,0.0003056737,0.00009577971],"about_ca_topic_score_codex":0.07417049,"about_ca_topic_score_gemma":0.7323618,"teacher_disagreement_score":0.65819126,"about_ca_system_score_codex":0.00015601398,"about_ca_system_score_gemma":0.00060620764,"threshold_uncertainty_score":0.9992404},"labels":[],"label_agreement":null},{"id":"W4327959723","doi":"10.1016/j.jth.2023.101602","title":"Understanding and supporting active travel in older adults using behavioural science: Systematic scoping review and strategic behavioural analysis","year":2023,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Psychology; Context (archaeology); Intervention (counseling); Systematic review; Inclusion (mineral); Scopus; Population; Gerontology; Applied psychology; MEDLINE; Social psychology; Medicine; Environmental health; Geography; Political science","score_opus":0.2106173535626609,"score_gpt":0.4265434951029356,"score_spread":0.2159261415402747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4327959723","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99331367,0.0047764694,0.00016928664,0.0006335593,0.00009909979,0.00094370754,0.000012115998,0.000016312126,0.00003580819],"genre_scores_gemma":[0.99658155,0.0031699552,0.00012456086,0.00007465059,0.000024616347,0.0000038040093,0.0000052550918,0.000009760264,0.00000581758],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9965811,0.00018752116,0.0015190525,0.00030882136,0.0007869903,0.00061653566],"domain_scores_gemma":[0.99816,0.000083733255,0.0010894083,0.00011102742,0.00015751073,0.00039830353],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0071310373,0.00016651154,0.0010819592,0.00076711684,0.000685413,0.00007950632,0.0002126274,0.00007152278,0.000028624696],"category_scores_gemma":[0.000041443942,0.0001428893,0.00016668519,0.0027583255,0.000404883,0.00088588975,0.0000082671295,0.00034653512,1.3302777e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019893248,0.000051147646,0.9636404,0.01955525,0.00004047862,0.00006790854,0.01644757,0.000009751232,0.0000110571145,0.0001126526,3.6716173e-7,0.000043517553],"study_design_scores_gemma":[0.0005346075,0.00006394783,0.9004325,0.058489535,0.00096236635,0.000011036694,0.03895894,0.00020024461,0.0000056525046,0.0001714277,1.2637217e-8,0.00016972526],"about_ca_topic_score_codex":0.004758329,"about_ca_topic_score_gemma":0.019846644,"teacher_disagreement_score":0.0632079,"about_ca_system_score_codex":0.0005138368,"about_ca_system_score_gemma":0.0016302459,"threshold_uncertainty_score":0.9980386},"labels":[],"label_agreement":null},{"id":"W4328023693","doi":"10.7202/1097157ar","title":"La Fabrique de la ville face aux défis sociétaux et environnementaux : le cas de Porto","year":2023,"lang":"fr","type":"article","venue":"Canadian Journal of Regional Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.034516155593828195,"score_gpt":0.33969119294304023,"score_spread":0.30517503734921203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4328023693","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8999868,0.0023239355,0.0006002883,0.07723687,0.0005631384,0.00010377296,0.000041404153,0.00001486953,0.019128934],"genre_scores_gemma":[0.9916761,0.00072148076,0.0004956243,0.001337513,0.0003065625,0.000002676561,0.00000274723,0.000014477854,0.0054428335],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99689615,0.0005731688,0.00040530402,0.00031615378,0.0007597758,0.0010494345],"domain_scores_gemma":[0.9970604,0.00040297012,0.00029676213,0.00017137399,0.00018986066,0.0018785886],"candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.008323334,0.0001782637,0.00024507864,0.00031452696,0.0014424652,0.00031036194,0.0011921251,0.00021956998,0.000496327],"category_scores_gemma":[0.00040551563,0.0001837202,0.00021938524,0.001594315,0.007092631,0.001089571,0.000033309807,0.0006200517,0.00003290562],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022652157,0.0001431581,0.61983204,0.00006196844,0.000072234085,0.003678757,0.08785511,0.0013528956,0.0015326019,0.20026672,0.0639689,0.021212976],"study_design_scores_gemma":[0.00027671963,0.000051321826,0.38780907,0.00012235827,0.000027750493,0.00018256946,0.017292745,0.00014328718,0.00014649387,0.015716683,0.5779845,0.00024646553],"about_ca_topic_score_codex":0.21669228,"about_ca_topic_score_gemma":0.32042,"teacher_disagreement_score":0.5140156,"about_ca_system_score_codex":0.0018486702,"about_ca_system_score_gemma":0.039657347,"threshold_uncertainty_score":0.99985754},"labels":[],"label_agreement":null},{"id":"W4353048845","doi":"10.1016/j.jue.2023.103542","title":"The Problem Has Existed over Endless Years: Racialized Difference in Commuting, 1980–2019","year":2023,"lang":"en","type":"article","venue":"Journal of Urban Economics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Demographic economics; Quarter (Canadian coin); Differential (mechanical device); Significant difference; Population; Geography; Car ownership; Difference in differences; Demography; Spatial mismatch; Work (physics); Economics; Sociology; Transport engineering; Public transport; Engineering; Mathematics; Statistics; Econometrics","score_opus":0.04398259271333681,"score_gpt":0.300531761233708,"score_spread":0.2565491685203712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4353048845","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99537235,0.0002457588,0.000007729369,0.0011985764,0.00048248595,0.00014305397,0.000008494443,0.000020349531,0.0025212034],"genre_scores_gemma":[0.9972574,0.00047132006,0.00007926962,0.00007203464,0.0003230691,0.0000025038848,0.0000027124877,0.0000109156845,0.0017807601],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99861145,0.00014801873,0.00065065944,0.00012143565,0.00014615599,0.00032226896],"domain_scores_gemma":[0.99883384,0.00031374203,0.0005253233,0.00017102351,0.00005882593,0.00009726849],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019172934,0.00009421176,0.00027333514,0.00010631225,0.0003279035,0.0002757328,0.0006297182,0.00008981544,0.00003992413],"category_scores_gemma":[0.00008417961,0.00007529865,0.00013875242,0.0002572202,0.00031523648,0.00029193022,0.00003906562,0.0003100178,0.000017584554],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011627512,0.00008400338,0.96396244,0.000010020845,0.000039565297,0.00001851692,0.014941174,0.000055318298,0.00004333603,0.0065532173,0.0048803873,0.00929574],"study_design_scores_gemma":[0.0007984917,0.000029760862,0.88388926,0.0000436657,0.000013677134,7.327069e-7,0.00134932,0.00011586777,0.000014259569,0.008585642,0.10503293,0.00012636838],"about_ca_topic_score_codex":0.000830855,"about_ca_topic_score_gemma":0.009063518,"teacher_disagreement_score":0.10015254,"about_ca_system_score_codex":0.00019043041,"about_ca_system_score_gemma":0.0003730825,"threshold_uncertainty_score":0.50576556},"labels":[],"label_agreement":null},{"id":"W4360599451","doi":"10.2337/dc22-1549","title":"Higher Neighborhood Drivability Is Associated With a Higher Diabetes Risk in Younger Adults: A Population-Based Cohort Study in Toronto, Canada","year":2023,"lang":"en","type":"article","venue":"Diabetes Care","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto; St. Michael's Hospital; Institute for Clinical Evaluative Sciences","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Diabetes mellitus; Demography; Hazard ratio; Gerontology; Cohort; Cohort study; Proportional hazards model; Population; Young adult; Environmental health; Confidence interval; Internal medicine","score_opus":0.007248146156771064,"score_gpt":0.24581973956138775,"score_spread":0.2385715934046167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4360599451","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99601275,0.00019219927,3.3460722e-8,0.00022491753,0.0003402423,0.0013338954,0.0006161493,0.00015995624,0.0011198793],"genre_scores_gemma":[0.99879944,0.000002579442,0.0000034637305,0.00025642605,0.00006972299,0.0003109469,0.00041904216,0.000029569625,0.00010882566],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9967432,0.0004608797,0.00046593786,0.0006927787,0.00084761105,0.00078958186],"domain_scores_gemma":[0.99867666,0.00036927135,0.00017439619,0.0004164976,0.00021038551,0.00015279114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007449853,0.00026751545,0.0005104904,0.00008121633,0.00025121402,0.00006071476,0.0003443112,0.00016649545,0.0007928322],"category_scores_gemma":[0.0001904891,0.00024175597,0.00007573447,0.0012768502,0.00008818564,0.00042271338,0.000026693533,0.00024977597,0.000006121945],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001608622,0.00021019897,0.9954722,0.000031286465,0.00005077491,0.000011264211,0.0037307274,0.000029935201,6.630246e-7,0.000007164296,0.00016803712,0.0002716802],"study_design_scores_gemma":[0.0011870987,0.00006542992,0.9925874,0.00009825457,0.000055823886,3.8136574e-10,0.005396158,0.000099264886,0.0000063299726,0.0000864671,0.000087696666,0.00033011427],"about_ca_topic_score_codex":0.9243326,"about_ca_topic_score_gemma":0.9966296,"teacher_disagreement_score":0.07229696,"about_ca_system_score_codex":0.0027171047,"about_ca_system_score_gemma":0.00057595357,"threshold_uncertainty_score":0.98585224},"labels":[],"label_agreement":null},{"id":"W4360862221","doi":"10.1016/j.healthplace.2023.103019","title":"Canadian children's independent mobility during the COVID-19 pandemic: A national survey","year":2023,"lang":"en","type":"article","venue":"Health & Place","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University; Agricultural Research Institute of Ontario; BC Children's Hospital; University of British Columbia; University of Ottawa; Learning Partnership; Université de Sherbrooke; University of Lethbridge","funders":"University of Lethbridge; Heart and Stroke Foundation of Canada","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Context (archaeology); Psychological intervention; Psychology; Variables; Social environment; Regression analysis; Geography; Demography; Developmental psychology; Medicine; Sociology; Statistics","score_opus":0.08761035401705139,"score_gpt":0.3860565591541083,"score_spread":0.2984462051370569,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4360862221","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9808827,0.00012604655,0.000009361896,0.016932404,0.00022062975,0.00059458776,0.0003942337,0.00016994479,0.00067006855],"genre_scores_gemma":[0.99464315,0.00009349619,0.000004624037,0.0032573112,0.00016379906,0.00003259709,0.00012993037,0.000007237355,0.001667826],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99746555,0.00069407164,0.00026377305,0.00032438908,0.0006379694,0.0006142302],"domain_scores_gemma":[0.998346,0.00050282944,0.00009122961,0.00018937065,0.000089197434,0.0007813814],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.008694968,0.0000925793,0.00013541781,0.000087919194,0.002100753,0.00006468352,0.00036678443,0.00009625779,0.0003354554],"category_scores_gemma":[0.0009231116,0.000076186196,0.000045574117,0.0007467754,0.00016248449,0.00012795885,0.000023380722,0.00027515265,0.00008159482],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001350401,0.000014960151,0.9916253,0.00002018447,0.000005527134,0.0000017339125,0.0034123398,0.00007323613,2.562571e-7,0.00014034651,0.004570252,0.00012234607],"study_design_scores_gemma":[0.00017901896,0.0000054734587,0.9774079,0.0000030866572,0.0000011827917,8.8631106e-7,0.0003882717,0.00001460303,2.3046364e-7,0.0004035582,0.02151606,0.000079725694],"about_ca_topic_score_codex":0.9440365,"about_ca_topic_score_gemma":0.99554735,"teacher_disagreement_score":0.051510885,"about_ca_system_score_codex":0.0024046325,"about_ca_system_score_gemma":0.009510925,"threshold_uncertainty_score":0.9991984},"labels":[],"label_agreement":null},{"id":"W4360867333","doi":"10.31235/osf.io/uy96s","title":"Shifted out: the well-being and justice implications of evening and night commuting","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Evening; TRIPS architecture; Immigration; Demographic economics; Poverty; Economic Justice; Inequality; Indigenous; Paradigm shift; Race (biology); Work (physics); Geography; Socioeconomics; Political science; Economic growth; Sociology; Gender studies; Economics; Transport engineering; Engineering","score_opus":0.05929166656939332,"score_gpt":0.35397751692276314,"score_spread":0.2946858503533698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4360867333","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91009295,0.0003080644,0.001116403,0.008710752,0.00031164347,0.00042523022,0.000012404696,0.00013915711,0.07888338],"genre_scores_gemma":[0.9975521,0.00014926128,0.00051920186,0.00008019088,0.00011938079,0.000014904087,0.000012046464,0.000009040836,0.0015438625],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990186,0.00009594877,0.00028116623,0.0002698729,0.0001564943,0.00017792314],"domain_scores_gemma":[0.9989076,0.0005129015,0.0001604423,0.00028570942,0.00007590299,0.000057396534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011524347,0.00010205115,0.00018575501,0.0000377948,0.0008017214,0.00010933624,0.00033268065,0.00013526366,0.00004617987],"category_scores_gemma":[0.00012384243,0.000074928525,0.000045732097,0.00013358484,0.0003940094,0.0000734053,0.00029385142,0.0003293305,0.00000216114],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000037949542,0.000017680433,0.92235196,0.00024618537,0.000040530696,5.889084e-7,0.04943174,0.000014685939,0.000025259335,0.026165172,0.0002339341,0.001468455],"study_design_scores_gemma":[0.00008274477,0.0000040361656,0.92169964,0.00012706958,0.00021398268,8.9536876e-8,0.00929697,0.00029212004,0.000038258655,0.066881016,0.001199866,0.0001642079],"about_ca_topic_score_codex":0.0068065193,"about_ca_topic_score_gemma":0.016871963,"teacher_disagreement_score":0.08745915,"about_ca_system_score_codex":0.000018450242,"about_ca_system_score_gemma":0.000090047004,"threshold_uncertainty_score":0.99980724},"labels":[],"label_agreement":null},{"id":"W4360868840","doi":"10.1007/s10668-023-03118-y","title":"Towards a knowledge-hub destination: analysis and recommendation for implementing TOD for Qatar national library metro station","year":2023,"lang":"en","type":"article","venue":"Environment Development and Sustainability","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Qatar National Library; Qingdao University of Science and Technology; Qatar University","keywords":"Sustainability; Knowledge economy; Sustainable development; Business; Knowledge transfer; Leverage (statistics); Transport engineering; Urban planning; Engineering; Knowledge management; Computer science; Civil engineering; Political science","score_opus":0.03321123069274096,"score_gpt":0.32931832152197676,"score_spread":0.2961070908292358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4360868840","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9477785,0.000057650417,0.04551921,0.0042004017,0.00005019433,0.0014434236,0.00008835238,0.00009939365,0.0007628788],"genre_scores_gemma":[0.9842808,0.00003352885,0.012537761,0.000035661342,0.00006134979,0.00044786895,0.0015244165,0.000008835289,0.0010697346],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99860024,0.000104148225,0.0003477125,0.00040581368,0.00021634751,0.00032571977],"domain_scores_gemma":[0.99926615,0.00037236453,0.00010272669,0.00006779359,0.00010176305,0.00008921589],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027808698,0.00011865665,0.00016769776,0.00021530628,0.0011248173,0.00011167155,0.000078478595,0.00005998309,0.00015390565],"category_scores_gemma":[0.00031503531,0.00012223715,0.000061820436,0.0004749749,0.000119667704,0.00057265867,0.00006124086,0.00004780119,9.162047e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004596552,0.00008514746,0.8047838,0.00017291686,0.00011676451,1.783511e-7,0.009920519,0.000011223065,0.0000030266383,0.0027613235,0.00035193676,0.18174718],"study_design_scores_gemma":[0.0004451571,0.000025761807,0.8287012,0.000002472942,0.00008797268,1.2413034e-8,0.007106515,0.0009512252,0.00015307737,0.029260226,0.13309108,0.00017533048],"about_ca_topic_score_codex":0.00006005856,"about_ca_topic_score_gemma":0.000428207,"teacher_disagreement_score":0.18157186,"about_ca_system_score_codex":0.00035810852,"about_ca_system_score_gemma":0.0003611234,"threshold_uncertainty_score":0.8651299},"labels":[],"label_agreement":null},{"id":"W4360915057","doi":"10.1177/16094069231157350","title":"Protocol for A Mixed-Methods Study: Dementia-Inclusive Streets and Community Access, Participation, and Engagement (DemSCAPE)","year":2023,"lang":"en","type":"article","venue":"International Journal of Qualitative Methods","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of Northern British Columbia; Simon Fraser University","funders":"Alzheimer Society; Public Health Agency of Canada","keywords":"Neighbourhood (mathematics); Dementia; Legibility; Community engagement; Psychology; Walkability; Focus group; Data collection; Built environment; Applied psychology; Public relations; Sociology; Medicine; Political science; Business; Engineering","score_opus":0.5962378947119011,"score_gpt":0.7072972788233551,"score_spread":0.111059384111454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4360915057","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6672622,0.000050721894,0.2998328,0.0033680415,0.00066564186,0.028138874,0.000039266044,0.000042643693,0.00059983117],"genre_scores_gemma":[0.76037824,0.000014404786,0.2224481,0.00015922397,0.00030961665,0.016551496,0.000007442211,0.00001744515,0.00011402436],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.97764724,0.020602612,0.00078890665,0.00017671399,0.0005729061,0.00021158808],"domain_scores_gemma":[0.9899541,0.0079216575,0.00068188924,0.00010392112,0.0012013107,0.00013709288],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.051442116,0.00013466581,0.0003013565,0.00024028905,0.0007933524,0.00023434903,0.0005685847,0.00005248827,0.000071750736],"category_scores_gemma":[0.005612552,0.0001132041,0.00009216393,0.00028008322,0.00034546308,0.00072128157,0.00023707157,0.00035835663,4.978108e-7],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005356335,0.001074511,0.11578951,0.00010314188,0.0012090285,0.000010395107,0.5697236,0.000017884797,0.0004911903,0.0044333907,0.001223088,0.30538863],"study_design_scores_gemma":[0.0036900009,0.0008021753,0.47693056,0.000117988944,0.00020093951,7.687362e-7,0.3222595,0.00020703519,0.0012735465,0.15860683,0.035626255,0.00028441675],"about_ca_topic_score_codex":0.0005216084,"about_ca_topic_score_gemma":0.00091361493,"teacher_disagreement_score":0.36114106,"about_ca_system_score_codex":0.00008946389,"about_ca_system_score_gemma":0.0001739813,"threshold_uncertainty_score":0.97673994},"labels":[],"label_agreement":null},{"id":"W4360950359","doi":"10.1080/14733285.2023.2192339","title":"An urban neighbourhood framework for realising progress towards the New Urban Agenda for equitable early childhood development","year":2023,"lang":"en","type":"article","venue":"Children s Geographies","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"PolicyWise for Children & Families","funders":"National Health and Medical Research Council; RMIT University; Australian Government","keywords":"Neighbourhood (mathematics); Walkability; Destinations; Urban planning; Psychological intervention; Early childhood; Child development; Scale (ratio); Economic growth; Built environment; Geography; Public relations; Regional science; Political science; Environmental planning; Psychology; Developmental psychology; Economics; Engineering; Cartography","score_opus":0.0334210883646056,"score_gpt":0.31825052634397794,"score_spread":0.2848294379793723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4360950359","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97658366,0.0029138227,0.012101804,0.0029330703,0.00064478075,0.0032210322,0.00021104043,0.0008859116,0.000504905],"genre_scores_gemma":[0.99034077,0.00007394241,0.006826876,0.00020846176,0.0014384352,0.0003574653,0.0003708394,0.000056402045,0.00032680863],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970009,0.00008438929,0.00046008508,0.00066759664,0.00054426835,0.001242795],"domain_scores_gemma":[0.9986467,0.00018067908,0.00020317994,0.00052505004,0.00016012041,0.0002842786],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0014184817,0.00031630255,0.00034940016,0.00027771608,0.0031337624,0.000625343,0.001103963,0.0002459445,0.0000546231],"category_scores_gemma":[0.00010930829,0.0002449937,0.00032973802,0.0018239697,0.0006925273,0.0005952045,0.0000739473,0.00022751409,0.0000071152112],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005055667,0.0001591171,0.7577207,0.00002609432,0.00015179903,7.533088e-7,0.05489203,0.00000467574,0.0000020657728,0.010599623,0.009105944,0.16728663],"study_design_scores_gemma":[0.00047066208,0.00011635315,0.95512736,0.00007328653,0.00009053352,1.8936038e-7,0.0027182223,0.000005786558,0.000142467,0.02527035,0.01559647,0.0003883345],"about_ca_topic_score_codex":0.0017961052,"about_ca_topic_score_gemma":0.0017450015,"teacher_disagreement_score":0.19740665,"about_ca_system_score_codex":0.000039314866,"about_ca_system_score_gemma":0.0005058627,"threshold_uncertainty_score":0.99905527},"labels":[],"label_agreement":null},{"id":"W4361003052","doi":"10.1177/03611981231158318","title":"Who Does Light Rail Serve? Examining Gendered Mobilities and Light-Rail Transit in Montreal, Canada","year":2023,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Metropolitan area; Public transport; Light rail transit; TRIPS architecture; Investment (military); Mobilities; Affect (linguistics); Demographic economics; Travel behavior; Business; Journey to work; Light rail; Geography; Transport engineering; Public economics; Political science; Psychology; Sociology; Economics; Engineering","score_opus":0.09253611416359135,"score_gpt":0.36903724741948624,"score_spread":0.27650113325589487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4361003052","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9841613,0.00042485105,0.000039640625,0.012786234,0.0005143414,0.0010840627,0.000107303276,0.00005010911,0.0008321129],"genre_scores_gemma":[0.9933813,0.0019727903,0.00008300876,0.000052987318,0.00023314804,0.000083518535,0.000022795852,0.000047900714,0.0041225413],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98955196,0.0019776353,0.0016818595,0.0006469435,0.0046618907,0.0014797063],"domain_scores_gemma":[0.9951381,0.0014612969,0.00035261334,0.00046060098,0.001952445,0.0006349229],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.008333282,0.00031574338,0.00067865715,0.0011211605,0.0013680767,0.00026200258,0.0012339116,0.0002786689,0.00048754312],"category_scores_gemma":[0.00028185404,0.00023035784,0.00024529902,0.0037868866,0.0008560103,0.0011694845,0.00000854042,0.002049716,0.0000066274933],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00074684777,0.00013336756,0.9447968,0.0003683471,0.00010042947,0.00036092344,0.040809333,0.000281001,0.0010181908,0.00069245504,0.0068673873,0.0038248883],"study_design_scores_gemma":[0.0012746779,0.0001584016,0.94089866,0.0003563993,0.000032668402,9.158781e-8,0.037176147,0.000047843158,0.00054416107,0.0045342376,0.014729126,0.00024759799],"about_ca_topic_score_codex":0.8663566,"about_ca_topic_score_gemma":0.9981687,"teacher_disagreement_score":0.1318121,"about_ca_system_score_codex":0.0004802765,"about_ca_system_score_gemma":0.002512101,"threshold_uncertainty_score":0.999932},"labels":[],"label_agreement":null},{"id":"W4361196018","doi":"10.1016/j.jth.2023.101585","title":"Examining the transport to school patterns of New Zealand adolescents by home-to-school distance and settlement types","year":2023,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Health Research Council of New Zealand; National Heart Foundation of New Zealand; University of Otago; Lottery Health Research; Auckland University of Technology, New Zealand","keywords":"Geography; Settlement (finance); Psychology; Business","score_opus":0.03093807858299476,"score_gpt":0.31861700184774655,"score_spread":0.2876789232647518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4361196018","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98512167,0.0004594685,0.0015786089,0.011648868,0.0003386348,0.0004989226,0.00027549852,0.00002772534,0.000050610364],"genre_scores_gemma":[0.9964531,0.0007808193,0.00015972706,0.0010692059,0.0003308186,0.0000042719007,0.000021864744,0.000019770858,0.0011604403],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972746,0.0000903777,0.0009912519,0.00026256472,0.0008648555,0.0005163935],"domain_scores_gemma":[0.9981108,0.0000428319,0.00039439957,0.00020600035,0.000119316486,0.0011266945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021750063,0.00017570371,0.00049366505,0.00013888924,0.00027222914,0.000026180718,0.000453537,0.000069337846,0.00018916217],"category_scores_gemma":[0.000025396976,0.00013038075,0.00011569597,0.0005799922,0.00006684899,0.00024266957,0.000006841507,0.00034121313,0.0000073541837],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016616404,0.00006714549,0.98012394,0.00012937645,0.000029212935,0.000014292214,0.009619515,0.000042550313,0.00004913002,0.000007836785,0.00697626,0.0027745995],"study_design_scores_gemma":[0.0005898396,0.00023168794,0.9598678,0.000491576,0.0000397047,7.5681413e-7,0.0017426087,7.6650036e-7,0.000029486828,0.000080936254,0.036795523,0.00012931762],"about_ca_topic_score_codex":0.0038110793,"about_ca_topic_score_gemma":0.010968744,"teacher_disagreement_score":0.029819265,"about_ca_system_score_codex":0.00012821532,"about_ca_system_score_gemma":0.00090236653,"threshold_uncertainty_score":0.61208165},"labels":[],"label_agreement":null},{"id":"W4361275016","doi":"10.1016/j.trip.2023.100815","title":"Understanding the travel challenges and gaps for older adults during the COVID-19 outbreak: Insights from the New York City area","year":2023,"lang":"en","type":"article","venue":"Transportation Research Interdisciplinary Perspectives","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"York University; University Transportation Centers; Paralyzed Veterans of America; New York University; U.S. Department of Transportation","keywords":"TRIPS architecture; Pandemic; Travel behavior; Context (archaeology); Descriptive statistics; Business; Population; Gerontology; Coronavirus disease 2019 (COVID-19); Psychology; Geography; Demographic economics; Medicine; Environmental health; Transport engineering; Engineering; Economics; Disease","score_opus":0.24934486937958641,"score_gpt":0.4214656365077563,"score_spread":0.1721207671281699,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4361275016","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88935655,0.004398073,0.0015193903,0.100985534,0.00014610958,0.0017059472,0.00015370488,0.00013586372,0.0015988448],"genre_scores_gemma":[0.9970667,0.0012355892,0.000015601048,0.00006534037,0.00040371984,0.00018994352,0.000044855802,0.0000206088,0.0009576387],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99732256,0.00041109664,0.00029867693,0.0006349839,0.0008056921,0.000526962],"domain_scores_gemma":[0.9964034,0.0027308362,0.000088149995,0.00036564335,0.00015806963,0.00025391395],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0016326181,0.00018699937,0.00019765204,0.00012428609,0.005181962,0.00020337726,0.0007271882,0.000113078175,0.00016851796],"category_scores_gemma":[0.00018128927,0.0001004047,0.00016245032,0.0006579971,0.0016668333,0.00034216617,0.000050546507,0.0004960369,0.000005010737],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005386135,0.00006517607,0.011267599,0.00006059875,0.00008510614,0.000009549774,0.9627236,0.000022687695,0.000040255447,0.023015898,0.0018363628,0.0003345149],"study_design_scores_gemma":[0.0004414144,0.000027593782,0.45830566,0.000048646747,0.000016000622,9.9159806e-8,0.48471457,0.000038887025,0.000012185541,0.055987637,0.00032608965,0.000081227256],"about_ca_topic_score_codex":0.0037613006,"about_ca_topic_score_gemma":0.13623716,"teacher_disagreement_score":0.47800907,"about_ca_system_score_codex":0.00032623197,"about_ca_system_score_gemma":0.00032514517,"threshold_uncertainty_score":0.9961132},"labels":[],"label_agreement":null},{"id":"W4361276927","doi":"10.1016/j.jth.2023.101606","title":"Pedal Poll/Sondo Vélo 2021: A community science project on who cycles in Canada","year":2023,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University; Toronto Metropolitan University; Saint Mary's University; Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada; Simon Fraser University","keywords":"Cycling; Demographics; Geography; Demography; Socioeconomics; Gerontology; Medicine; Sociology; Forestry","score_opus":0.06303189976292356,"score_gpt":0.3809366423322237,"score_spread":0.3179047425693001,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4361276927","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99041593,0.00014916285,0.000010240034,0.0066442345,0.0005103166,0.00027770855,0.000046445257,0.000017772034,0.0019281917],"genre_scores_gemma":[0.998625,0.00042748186,0.00007362025,0.000544208,0.00017834005,0.0000026841858,0.000004915488,0.000010426734,0.0001333307],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99643,0.00035360447,0.0008629909,0.00018919051,0.0014067187,0.000757496],"domain_scores_gemma":[0.9986004,0.00016839975,0.00041789984,0.00024203767,0.00017818241,0.000393054],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0068987575,0.00014396317,0.00047811907,0.00043693656,0.0010913532,0.00003786478,0.00087228406,0.00005310968,0.00007313347],"category_scores_gemma":[0.00009176587,0.00012448609,0.000115645176,0.0022692452,0.00038474327,0.00050746946,0.000009907691,0.0009798299,0.0000027619274],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011074112,0.00015665397,0.9757581,0.000077327306,0.000007999981,0.00012222257,0.01708936,0.00008673133,0.000027754293,0.00019058585,0.0010049461,0.0053676236],"study_design_scores_gemma":[0.0004470723,0.00015239383,0.9826192,0.00020637279,0.000007019196,0.000001817958,0.011637734,0.000014162769,0.0000273329,0.00026559483,0.0045002657,0.00012099225],"about_ca_topic_score_codex":0.976411,"about_ca_topic_score_gemma":0.9956498,"teacher_disagreement_score":0.030818842,"about_ca_system_score_codex":0.0014936043,"about_ca_system_score_gemma":0.032312445,"threshold_uncertainty_score":0.97317344},"labels":[],"label_agreement":null},{"id":"W4361283618","doi":"10.1080/15700763.2023.2189935","title":"Schoolyard Quality and Opportunities for Well-Being at School: A Citizen-Science Approach to System-Wide Measurement for Equity","year":2023,"lang":"en","type":"article","venue":"Leadership and Policy in Schools","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto; Wilfrid Laurier University","funders":"","keywords":"Equity (law); Accountability; General partnership; Citizen science; Quality (philosophy); Work (physics); Recreation; Political science; Public administration; Public relations; Engineering","score_opus":0.4722867173750789,"score_gpt":0.44054764500285587,"score_spread":0.03173907237222301,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4361283618","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9115758,0.00038794527,0.0016850388,0.045943942,0.00030159228,0.0034226046,0.00009792393,0.00036702622,0.036218144],"genre_scores_gemma":[0.9945805,0.000053590975,0.0005349321,0.0022932172,0.00044598512,0.0005097071,0.000011956906,0.000019480573,0.0015506226],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9966794,0.00020946913,0.0005225174,0.00067561073,0.00081925996,0.0010937364],"domain_scores_gemma":[0.9982602,0.00034571346,0.000121306,0.00029048798,0.00023174015,0.0007505741],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010368005,0.00021953858,0.00039678792,0.000456851,0.0011990796,0.00045303124,0.00047189303,0.0001545077,0.0000053035933],"category_scores_gemma":[0.0027566908,0.00021518266,0.00009311299,0.00089692144,0.0005168793,0.00058961427,0.00012698534,0.00020492845,0.000010116674],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007461535,0.00014395962,0.6460568,0.0051818364,0.00007487488,0.0000061573583,0.042699013,0.000029412939,0.0018640343,0.28049603,0.011933319,0.010768417],"study_design_scores_gemma":[0.003448659,0.00021295197,0.65953004,0.00091918994,0.000093351235,0.0000018049421,0.2657448,0.00023693494,0.0010394776,0.039970435,0.02734369,0.0014586943],"about_ca_topic_score_codex":0.0027498573,"about_ca_topic_score_gemma":0.0020752887,"teacher_disagreement_score":0.2405256,"about_ca_system_score_codex":0.0007297548,"about_ca_system_score_gemma":0.0008482339,"threshold_uncertainty_score":0.92224723},"labels":[],"label_agreement":null},{"id":"W4361296726","doi":"10.31219/osf.io/dk2mb","title":"Car dependency in the urban margins: the influence of perceived accessibility on mode choice","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Fondo de Financiamiento de Centros de Investigación en Áreas Prioritarias; Agencia Nacional de Investigación y Desarrollo; Centro de Desarrollo Urbano Sustentable","keywords":"Metropolitan area; Public transport; Perception; Mode choice; Vulnerability (computing); Mode (computer interface); Dependency (UML); Business; Geography; Order (exchange); Transport engineering; Poverty; Demographic economics; Psychology; Economic growth; Economics; Computer science; Engineering; Computer security","score_opus":0.057242015100050406,"score_gpt":0.36361009002948014,"score_spread":0.30636807492942975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4361296726","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98181564,0.000071839466,0.000011588155,0.0021843477,0.0002944277,0.0013126475,0.000068003596,0.000103466984,0.014138059],"genre_scores_gemma":[0.99804175,0.000107849155,0.000026517639,0.00034111427,0.00020885584,0.00014227764,0.000019620376,0.00001662016,0.0010953938],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99602145,0.000871048,0.0007011323,0.00080477307,0.0011385794,0.00046304276],"domain_scores_gemma":[0.99686897,0.0011001908,0.00030507988,0.0014664041,0.00018625814,0.000073127754],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030779438,0.0002918518,0.0004272467,0.00009851354,0.0004111704,0.00017432444,0.0035142277,0.00039711752,0.00017530056],"category_scores_gemma":[0.0007571306,0.00016092775,0.00026121017,0.0006027533,0.0007452953,0.0002718007,0.00029311687,0.0012567338,0.000023850076],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023301482,0.00016213351,0.96210647,0.00011194481,0.000018994773,0.0000043976142,0.034207,0.0016355731,0.000031146807,0.0012700512,0.00021998581,0.00020897557],"study_design_scores_gemma":[0.00011715975,0.000012737932,0.97712624,0.00011202469,0.000030025049,2.334041e-8,0.0044168993,0.00009350012,0.000011943879,0.017667439,0.00022267777,0.00018933514],"about_ca_topic_score_codex":0.18674652,"about_ca_topic_score_gemma":0.26999256,"teacher_disagreement_score":0.08324604,"about_ca_system_score_codex":0.00017833283,"about_ca_system_score_gemma":0.0006577305,"threshold_uncertainty_score":0.818669},"labels":[],"label_agreement":null},{"id":"W4361988401","doi":"10.1007/978-3-031-24731-6_4","title":"Spatial Analysis of Characteristics and Influencing Factors of Killed or Seriously Injured Persons from Motor Vehicle Collisions Within the City of Toronto","year":2023,"lang":"en","type":"book-chapter","venue":"Advances in geographic information science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Downtown; Geography; Spatial analysis; Law enforcement; Enforcement; Built environment; Regional science; Transport engineering; Engineering; Political science; Law; Civil engineering","score_opus":0.01559918191057201,"score_gpt":0.2875600677442825,"score_spread":0.2719608858337105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4361988401","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9925145,0.00014968181,0.00008646555,0.00001470153,0.00024542672,0.0003793144,0.00090364105,0.000018771627,0.005687484],"genre_scores_gemma":[0.9986944,0.0008830811,0.00013843353,0.000015149522,0.000012572357,0.000006096594,0.000049358372,0.0000039296697,0.00019696484],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99758804,0.00003096294,0.0010090956,0.00020684481,0.0009828308,0.00018224947],"domain_scores_gemma":[0.99734765,0.0003919873,0.0013975506,0.0003124234,0.00047721568,0.00007318954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012985043,0.00015741169,0.0005239773,0.0005090852,0.0003411042,0.00004825384,0.00060451176,0.00014043332,0.00010112332],"category_scores_gemma":[0.00051632465,0.000110193905,0.00014263252,0.0011404913,0.002516906,0.0027336807,0.00008249525,0.0001578369,2.625695e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000075368305,0.000013051016,0.95333683,0.00004891891,0.00007608083,2.4971885e-7,0.038301498,0.000055379824,0.00006867614,0.0053803693,2.6539527e-7,0.0026433365],"study_design_scores_gemma":[0.00013318584,0.000051462815,0.991239,0.00012424479,0.00018385332,1.4207551e-8,0.006424151,0.0006234015,0.000051321465,0.0006712544,0.00035811457,0.00014000181],"about_ca_topic_score_codex":0.044334233,"about_ca_topic_score_gemma":0.13721399,"teacher_disagreement_score":0.09287976,"about_ca_system_score_codex":0.000066990615,"about_ca_system_score_gemma":0.0004808734,"threshold_uncertainty_score":0.96202964},"labels":[],"label_agreement":null},{"id":"W4361991017","doi":"10.1007/978-3-031-24731-6_6","title":"A Spatial Statistical Understanding of Inadequate Dwellings in the City of Toronto","year":2023,"lang":"en","type":"book-chapter","venue":"Advances in geographic information science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Census; Bivariate analysis; Geography; Psychological intervention; Regression analysis; Regional science; Environmental health; Population; Statistics; Medicine; Mathematics","score_opus":0.03771089461374158,"score_gpt":0.31968388920159474,"score_spread":0.2819729945878532,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4361991017","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012614589,0.0005770648,0.02099611,0.00015264732,0.00075535936,0.00096490013,0.00015138288,0.000042893047,0.96374506],"genre_scores_gemma":[0.997152,0.002351162,0.00020260406,0.00003416484,0.000019978266,0.000007785743,0.000016716082,0.000003416729,0.00021219024],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9972838,0.000034569697,0.0008395467,0.00018524421,0.0013618601,0.00029496025],"domain_scores_gemma":[0.99861556,0.00038613632,0.00055072637,0.00022401616,0.00017784476,0.000045701203],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0039623235,0.0001295239,0.00026525193,0.0003900157,0.00022220082,0.000053625372,0.0008022202,0.00012015885,0.000115362345],"category_scores_gemma":[0.00026094256,0.0001048007,0.000064330474,0.0006032063,0.0031367913,0.0038418057,0.000042673455,0.00023398202,0.000002644916],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002294377,0.000011939862,0.045935765,0.00009597962,0.0000021834617,0.0000012143286,0.0151403835,0.00004390884,5.3974367e-7,0.9287934,0.0000018549247,0.009949914],"study_design_scores_gemma":[0.0005837406,0.00014197474,0.1771029,0.0007118623,0.000028524375,3.245473e-7,0.018569864,0.000604576,0.000013832365,0.78475416,0.016965302,0.0005229178],"about_ca_topic_score_codex":0.015312624,"about_ca_topic_score_gemma":0.11067356,"teacher_disagreement_score":0.9845374,"about_ca_system_score_codex":0.00018894588,"about_ca_system_score_gemma":0.00034203957,"threshold_uncertainty_score":0.9995761},"labels":[],"label_agreement":null},{"id":"W4362465951","doi":"10.1177/03611981231159111","title":"Methodology to Add Value to Ageing Travel Survey Data","year":2023,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Travel survey; Travel behavior; Survey data collection; Survey methodology; Context (archaeology); Scale (ratio); Transport engineering; Geography; Population; Descriptive statistics; Value (mathematics); Computer science; Engineering; Statistics; Cartography; Mathematics; Sociology","score_opus":0.5414372415598993,"score_gpt":0.5434346893964849,"score_spread":0.0019974478365856196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362465951","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97824645,0.00007382789,0.0059625413,0.0116991475,0.0012687857,0.0017006687,0.0005326264,0.00007432532,0.0004416412],"genre_scores_gemma":[0.99124193,0.00026565912,0.0046939882,0.00021012807,0.00046473177,0.00006921617,0.00015395736,0.00006693942,0.0028334258],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9822189,0.0075337645,0.0017350237,0.00089328253,0.0058626537,0.0017563642],"domain_scores_gemma":[0.98783165,0.005329544,0.0003277693,0.001224211,0.004098391,0.0011884145],"candidate_categories":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.045385208,0.00027596278,0.00067388295,0.0019142097,0.0017199285,0.00026407168,0.0045495904,0.00028103817,0.0006349981],"category_scores_gemma":[0.003415786,0.00022561548,0.00030779187,0.009837454,0.0009046027,0.0010364855,0.00003748192,0.0021706333,0.00018197825],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022684913,0.00025566647,0.88195014,0.00016203089,0.0001848629,0.0003209278,0.037118323,0.0014456983,0.0030136767,0.0025085325,0.0530882,0.017683461],"study_design_scores_gemma":[0.0006079784,0.000295996,0.96021324,0.00017799244,0.0000364315,5.5752686e-8,0.007441388,0.000037981874,0.0003561717,0.0029031686,0.027699117,0.00023046554],"about_ca_topic_score_codex":0.19466048,"about_ca_topic_score_gemma":0.7115899,"teacher_disagreement_score":0.51692945,"about_ca_system_score_codex":0.00030056594,"about_ca_system_score_gemma":0.0017236086,"threshold_uncertainty_score":0.99957967},"labels":[],"label_agreement":null},{"id":"W4362475726","doi":"10.1016/j.trf.2023.03.014","title":"What can bring transit ridership back: An econometric study on the potential of usage incentives and operational policies in the Greater Toronto Area","year":2023,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Pandemic; Transit (satellite); Incentive; Business; Public transport; Paratransit; Duration (music); Service (business); Transport engineering; Public economics; Coronavirus disease 2019 (COVID-19); Economics; Marketing; Engineering; Medicine; Microeconomics","score_opus":0.20282048805935804,"score_gpt":0.4394693213429109,"score_spread":0.23664883328355285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362475726","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948804,0.00011477438,0.0000020036073,0.00393371,0.00009968906,0.00072774506,0.000042113283,0.000016717928,0.00018285193],"genre_scores_gemma":[0.9991444,0.0004625129,0.0000017681002,0.00009358284,0.000044792945,0.000056524535,0.000049735587,0.0000060814746,0.00014061041],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978671,0.0007524035,0.00029306996,0.00034288227,0.0004096569,0.0003348721],"domain_scores_gemma":[0.9994148,0.00022848196,0.00004014215,0.00017058101,0.00007030985,0.00007567894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003016384,0.00010291473,0.00015317767,0.00018639426,0.0005004993,0.00013574812,0.0002695398,0.00008711371,0.0003058191],"category_scores_gemma":[0.000012879168,0.000069473834,0.000037254966,0.00058436947,0.0006869366,0.0005105396,0.0000027126282,0.00025180535,0.0000024782526],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011104391,0.00044331566,0.88714963,0.000007819418,0.0000155744,0.000014431299,0.1104727,0.00005257979,0.00003717518,0.00032347057,0.00008806652,0.001284179],"study_design_scores_gemma":[0.00045962143,0.00023771268,0.8970067,0.000015127378,0.000015102954,1.5570026e-7,0.102053486,0.000013207383,0.000007796809,0.00007218334,0.000052615575,0.00006631324],"about_ca_topic_score_codex":0.003712683,"about_ca_topic_score_gemma":0.15239531,"teacher_disagreement_score":0.14868262,"about_ca_system_score_codex":0.000017972854,"about_ca_system_score_gemma":0.00005312822,"threshold_uncertainty_score":0.86307126},"labels":[],"label_agreement":null},{"id":"W4362511408","doi":"10.32920/ihtp.v3i1.1711","title":"Impact of COVID-19 on travel, mobility, and transportation preferences: A mixed method descriptive study","year":2023,"lang":"en","type":"article","venue":"International Health Trends and Perspectives","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"Mitacs","keywords":"Taxis; Public transport; Purchasing; Air quality index; Business; Coronavirus disease 2019 (COVID-19); Sample (material); Equity (law); Travel behavior; Transport engineering; Traffic congestion; Geography; Marketing; Medicine; Engineering; Political science","score_opus":0.14516300962755355,"score_gpt":0.4781733481814095,"score_spread":0.333010338553856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362511408","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9915822,0.00017142182,0.00024779802,0.005889054,0.00011842546,0.00024918935,0.0003533877,0.000045859295,0.0013426711],"genre_scores_gemma":[0.99920905,0.00023282357,0.00011939837,0.000025764875,0.00005461008,0.000026736008,0.000038191338,0.0000049927794,0.00028845386],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99861497,0.00025745,0.00026095138,0.00035729696,0.000338174,0.00017118937],"domain_scores_gemma":[0.999222,0.00025745638,0.0001305255,0.00007431744,0.00011299898,0.0002027428],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001017835,0.00010671067,0.00021449807,0.0002675826,0.0002639092,0.00003516279,0.0001180847,0.000044788285,0.00021300306],"category_scores_gemma":[0.000090791276,0.00008715215,0.00007055775,0.00039025024,0.00021593981,0.00018300739,0.0000060260163,0.000102121994,6.170836e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023514515,0.00051794277,0.6209721,0.000023666687,0.000088790395,0.0000023095386,0.33365473,0.000021336751,0.000007161015,0.004880847,0.000083100356,0.039512854],"study_design_scores_gemma":[0.0005174677,0.00054912333,0.9120086,0.000012247541,0.000009820522,1.1718454e-7,0.08296631,0.000067807974,0.0000018722342,0.0037372003,0.000060830844,0.00006862469],"about_ca_topic_score_codex":0.04160877,"about_ca_topic_score_gemma":0.03425817,"teacher_disagreement_score":0.29103646,"about_ca_system_score_codex":0.00026081127,"about_ca_system_score_gemma":0.0003469389,"threshold_uncertainty_score":0.9833641},"labels":[],"label_agreement":null},{"id":"W4362559782","doi":"10.1016/j.tranpol.2023.03.019","title":"Opportunity equity in strategic urban land use transport planning: Directions in London and Vancouver","year":2023,"lang":"en","type":"article","venue":"Transport Policy","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Equity (law); Public transport; Transportation planning; Social equality; Land use; Land-use planning; Transport engineering; Business; Urban planning; Public economics; Travel behavior; Environmental planning; Economics; Geography; Political science; Engineering; Civil engineering","score_opus":0.1318765179802573,"score_gpt":0.3874426387970371,"score_spread":0.2555661208167798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362559782","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95805776,0.00010017619,0.000007736594,0.0005228695,0.00018705831,0.00039791386,0.000113406335,0.00026836456,0.040344715],"genre_scores_gemma":[0.9963049,0.0003349284,0.000014993646,0.00012760596,0.0001893242,0.000035655365,0.00010682361,0.000024017245,0.002861737],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99768764,0.000078044555,0.0005504383,0.00049570133,0.00039603305,0.0007921448],"domain_scores_gemma":[0.999146,0.00009006218,0.00008005856,0.00024676177,0.000038130667,0.00039898182],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009554267,0.00023893111,0.00039526288,0.00060087733,0.00031236393,0.000040948627,0.00026108167,0.00023555184,0.00019847031],"category_scores_gemma":[0.000029680432,0.00024872224,0.00010093747,0.0021101905,0.00037064622,0.00076299673,0.000010534672,0.00042731516,0.000006856996],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000061220904,0.00014961312,0.9874228,0.000056872363,0.000009006986,0.00024328414,0.009204272,0.000071724986,0.000013065005,0.0022436236,0.00011846691,0.0004060339],"study_design_scores_gemma":[0.00072222215,0.000023592596,0.98293215,0.00007305827,0.000019542253,4.1554387e-7,0.0013086074,0.000020720103,0.000011168074,0.0040940563,0.0105192205,0.0002752627],"about_ca_topic_score_codex":0.13142395,"about_ca_topic_score_gemma":0.6204636,"teacher_disagreement_score":0.4890397,"about_ca_system_score_codex":0.00016626694,"about_ca_system_score_gemma":0.0006291686,"threshold_uncertainty_score":0.9999965},"labels":[],"label_agreement":null},{"id":"W4362576185","doi":"10.22215/etd/2022-15385","title":"Quantitative Assessment of Teleworking on Energy Consumption and Greenhouse Gas (GHG) Emissions","year":2022,"lang":"en","type":"dissertation","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Greenhouse gas; Energy consumption; Purchasing; Consumption (sociology); Business; Environmental economics; Electricity; Information and Communications Technology; Engineering; Marketing; Economics; Computer science","score_opus":0.0485423320248586,"score_gpt":0.39479225703763476,"score_spread":0.3462499250127762,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362576185","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86331314,0.0002556184,0.00006354639,0.00006647659,0.00039552033,0.00018824694,0.000027287031,0.000057912854,0.13563223],"genre_scores_gemma":[0.9889962,0.0008520853,0.00046875552,0.00003516243,0.000040162653,0.000033597425,0.000393407,0.000016109627,0.009164538],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99849725,0.0001486466,0.00031470208,0.000336353,0.00052901736,0.00017403712],"domain_scores_gemma":[0.99913245,0.00026658014,0.0002870802,0.00014352772,0.000083378516,0.00008699473],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00039669676,0.0001496058,0.0002692291,0.00013246914,0.0005585496,0.000036439487,0.00016693497,0.00016568419,0.0038534098],"category_scores_gemma":[0.000041401756,0.0001387377,0.00008587439,0.00019299572,0.000120584526,0.0001084536,0.000012087216,0.00024701445,9.185014e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005872372,0.0010592518,0.3026733,0.00050622504,0.00025406084,0.0000205913,0.03739916,0.00003366932,0.0012602967,0.59204054,0.0015898752,0.06257575],"study_design_scores_gemma":[0.0010337117,0.00090218947,0.8388864,0.00083830196,0.0004331275,1.9152685e-7,0.08883606,0.00044813336,0.0012568353,0.017467646,0.04859419,0.0013032248],"about_ca_topic_score_codex":0.0055927145,"about_ca_topic_score_gemma":0.0355825,"teacher_disagreement_score":0.5745729,"about_ca_system_score_codex":0.00009457706,"about_ca_system_score_gemma":0.00031316746,"threshold_uncertainty_score":0.9970572},"labels":[],"label_agreement":null},{"id":"W4362583055","doi":"10.1177/03611981231159863","title":"Impact of Life Events on Incremental Travel Behavior Change","year":2023,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Travel behavior; Relocation; Travel survey; TRIPS architecture; Event (particle physics); Mode choice; Economics; Transport engineering; Engineering; Computer science; Public transport","score_opus":0.2560201118188015,"score_gpt":0.487487048393177,"score_spread":0.2314669365743755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362583055","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953655,0.000072459196,0.000026291125,0.0015108159,0.0005078131,0.0019326926,0.00023745901,0.00003727237,0.00030969636],"genre_scores_gemma":[0.99794984,0.0007510429,0.0000825509,0.000024865089,0.0003506243,0.0002104881,0.00004455599,0.00004444874,0.000541614],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9895637,0.0016268388,0.0014723517,0.0004037139,0.0058259824,0.0011074088],"domain_scores_gemma":[0.9947869,0.00087685406,0.00056164974,0.00044547446,0.002673523,0.0006555602],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007718628,0.00024263811,0.00053989026,0.0014194193,0.0009859335,0.00007103236,0.0014440815,0.00024118168,0.0009760157],"category_scores_gemma":[0.0003038173,0.00017938444,0.00083732395,0.0042387825,0.001010567,0.00086950144,0.0000066047573,0.0017167592,0.00004729323],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012995612,0.0005684761,0.9814996,0.000093014176,0.00012471604,0.000051768806,0.008233201,0.000057684425,0.0014593368,0.00073898275,0.0018974129,0.003976255],"study_design_scores_gemma":[0.0013065274,0.00084755087,0.991119,0.0002276452,0.000049781698,2.826902e-8,0.0041311667,0.000011052012,0.0003554303,0.0010806144,0.00071199867,0.00015918408],"about_ca_topic_score_codex":0.08180411,"about_ca_topic_score_gemma":0.0947434,"teacher_disagreement_score":0.012939293,"about_ca_system_score_codex":0.00041832824,"about_ca_system_score_gemma":0.0014915797,"threshold_uncertainty_score":0.99993724},"labels":[],"label_agreement":null},{"id":"W4362594454","doi":"10.1155/2023/9318505","title":"Do Residents Living in Transit-Oriented Development Station Catchment Areas Travel More Sustainably? The Impacts of Life Events","year":2023,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities; Vlaamse regering; Fonds Wetenschappelijk Onderzoek","keywords":"Sustainability; Transit-oriented development; Public transport; Travel behavior; Sustainable transport; Business; Binary logit model; Sustainable development; Logistic regression; Mode choice; Transport engineering; Socioeconomic status; Built environment; Sustainable living; Travel survey; Engineering; Computer science; Environmental health; Political science; Civil engineering","score_opus":0.014791841243624676,"score_gpt":0.3140549225204211,"score_spread":0.29926308127679646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362594454","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99736917,0.00018532676,0.0011180692,0.0006596405,0.00024643738,0.00036682753,0.0000103512,0.000014461963,0.00002968631],"genre_scores_gemma":[0.99920905,0.0002494938,0.00035024885,0.000028174092,0.00004813298,0.000009136125,0.000029907027,0.000011549863,0.00006433356],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99749756,0.00011578338,0.001016591,0.00015618642,0.00090944587,0.00030441512],"domain_scores_gemma":[0.99855995,0.00015957838,0.00063069153,0.00010052531,0.00041191734,0.00013735646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015163402,0.00012695113,0.000269612,0.00026592356,0.00019969007,0.00001650702,0.00021560013,0.0000685869,0.000025387553],"category_scores_gemma":[0.00016657687,0.00010120317,0.00010990815,0.0009912179,0.000078994795,0.00076131057,0.0000017514865,0.00019394181,9.728044e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028766933,0.00016387306,0.79678017,0.00011729702,0.00004067419,0.00002886193,0.19307564,0.0064996257,0.000554019,0.000120725184,0.000019983954,0.0023114295],"study_design_scores_gemma":[0.0007411192,0.00004565017,0.93242276,0.00029065303,0.000029738405,1.5662533e-7,0.06526738,0.000004757937,0.00054146885,0.00048527433,0.000077561235,0.00009346711],"about_ca_topic_score_codex":0.00079594646,"about_ca_topic_score_gemma":0.008278557,"teacher_disagreement_score":0.13564257,"about_ca_system_score_codex":0.00021519768,"about_ca_system_score_gemma":0.0007410913,"threshold_uncertainty_score":0.4619629},"labels":[],"label_agreement":null},{"id":"W4362669873","doi":"10.1080/01441647.2023.2198458","title":"The current state of activity-based travel demand modelling and some possible next steps","year":2023,"lang":"en","type":"article","venue":"Transport Reviews","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Scheduling (production processes); Computer science; Operations research; Key (lock); Order (exchange); Transport engineering; Software; Demand management; Management science; Risk analysis (engineering); Engineering; Business; Operations management; Economics; Computer security","score_opus":0.10122380963112698,"score_gpt":0.3485253612907409,"score_spread":0.24730155165961393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362669873","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96361554,0.028934719,0.0054422608,0.00041475816,0.00020481272,0.0009262092,0.000032925047,0.000063728614,0.00036507446],"genre_scores_gemma":[0.9417356,0.057691243,0.000095617834,0.000021843649,0.00005896071,0.000040146362,0.000013394234,0.000012068256,0.00033108448],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9983386,0.00015610197,0.0005141429,0.0002872572,0.00033383467,0.00037009324],"domain_scores_gemma":[0.9992454,0.00012671722,0.0001931299,0.00025811503,0.000046498597,0.00013011882],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023867001,0.00015630445,0.000418219,0.000054060794,0.0004941028,0.000042416286,0.00026446805,0.000035059864,0.000016186486],"category_scores_gemma":[0.000011267833,0.000105181876,0.00018630315,0.0004906573,0.00035288447,0.00037081307,0.0000046428936,0.00019688596,0.0000118084645],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001041306,0.00017036675,0.09238901,0.0012776811,0.000029200282,0.0000068954027,0.007657704,0.0009446258,0.00027839118,0.0007339814,0.00013296545,0.89627504],"study_design_scores_gemma":[0.0012873363,0.000113566704,0.614657,0.0011335613,0.000356921,1.5145899e-7,0.00034547158,0.00755252,0.0014914059,0.016821645,0.3552878,0.0009526336],"about_ca_topic_score_codex":0.0004074222,"about_ca_topic_score_gemma":0.0020758216,"teacher_disagreement_score":0.8953224,"about_ca_system_score_codex":0.00001917875,"about_ca_system_score_gemma":0.0001880285,"threshold_uncertainty_score":0.42891926},"labels":[],"label_agreement":null},{"id":"W4362715745","doi":"10.1016/j.landurbplan.2023.104767","title":"Place attachment and walking behaviour: Mediation by perceived neighbourhood walkability","year":2023,"lang":"en","type":"article","venue":"Landscape and Urban Planning","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":36,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Japan Society for the Promotion of Science; Canadian Institutes of Health Research","keywords":"Walkability; Neighbourhood (mathematics); Place attachment; Mediation; Built environment; Recreation; Place identity; Psychology; Perception; Urban design; Physical activity; Social psychology; Geography; Environmental health; Sociology; Medicine; Urban planning; Ecology; Architecture; Civil engineering; Engineering","score_opus":0.015436685505150777,"score_gpt":0.29321489420778973,"score_spread":0.277778208702639,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362715745","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9943868,0.0008680005,0.000011173431,0.0005328156,0.000121963065,0.0001633185,0.000027040305,0.00018316647,0.003705758],"genre_scores_gemma":[0.99859333,0.00010408333,0.000027948232,0.000064228196,0.00016462035,0.000011762732,0.00010404254,0.000008984385,0.000920999],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99883157,0.000059951086,0.00018769162,0.00033249395,0.00025866483,0.00032962844],"domain_scores_gemma":[0.999489,0.00016748355,0.000063911146,0.00009056799,0.000027361564,0.00016167709],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065517053,0.000121062556,0.00016856678,0.0000579728,0.00057487626,0.00014171263,0.00009662467,0.0001081575,0.00012613815],"category_scores_gemma":[0.00004583092,0.000110158086,0.000030736883,0.0002073617,0.00009576271,0.0003002614,0.000031103486,0.00014105496,0.0000056190743],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015065747,0.000018164941,0.9773242,0.000016135615,0.00000786827,0.0000049758205,0.015838942,0.0000014583464,0.00016174436,0.000045576937,0.0057409084,0.0008249587],"study_design_scores_gemma":[0.000340978,0.00002538852,0.9913526,0.00002391724,0.000024080984,3.2508285e-7,0.0047155973,0.0002024511,0.000020078043,0.00014502177,0.0029958508,0.00015369011],"about_ca_topic_score_codex":0.00019764938,"about_ca_topic_score_gemma":0.000112794834,"teacher_disagreement_score":0.01402842,"about_ca_system_score_codex":0.000025137391,"about_ca_system_score_gemma":0.00002838169,"threshold_uncertainty_score":0.44921163},"labels":[],"label_agreement":null},{"id":"W4363674691","doi":"10.1111/cag.12840","title":"Beyond perception: Spatial analysis of detached ADU potential on residential lots in Windsor, Ontario","year":2023,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Windsor; University of Toronto","funders":"University of Windsor","keywords":"Windsor; Zoning; Geoprocessing; Geography; Transport engineering; Civil engineering; Property value; Cartography; Environmental science; Business; Engineering; Real estate","score_opus":0.010898637430991993,"score_gpt":0.23176630884669958,"score_spread":0.2208676714157076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4363674691","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9919275,0.00012271306,0.0000026797236,0.00092673197,0.0010074512,0.00041847152,0.00028060575,0.000107988984,0.0052058394],"genre_scores_gemma":[0.9980189,0.0002513895,0.000022222946,0.00016969262,0.00018895243,0.00004250633,0.00040630795,0.000028159326,0.0008718567],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9962214,0.00020469895,0.0007048898,0.0007735157,0.0006720576,0.0014234196],"domain_scores_gemma":[0.997919,0.000111687434,0.00019459196,0.0005735616,0.00022779909,0.0009733355],"candidate_categories":["metaepi_narrow","bibliometrics","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008101726,0.00035943178,0.0007002562,0.013093433,0.00087340304,0.00013370783,0.0007310268,0.0003371469,0.0013123429],"category_scores_gemma":[0.000089505615,0.0004065627,0.0007483541,0.019905636,0.001973167,0.00036795423,0.000030431995,0.00035964968,0.000014746447],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007044311,0.00003937819,0.9810405,0.000017052402,0.00047077535,0.000158168,0.013507365,0.00026444372,0.0000214609,0.0011688448,0.001074886,0.0021667224],"study_design_scores_gemma":[0.00036696525,0.00007583979,0.9810074,0.00002819402,0.00046758822,3.6666395e-7,0.01317978,0.00003135761,0.000005159736,0.0013383053,0.0030828349,0.00041620157],"about_ca_topic_score_codex":0.9977607,"about_ca_topic_score_gemma":0.999996,"teacher_disagreement_score":0.006812202,"about_ca_system_score_codex":0.0003850617,"about_ca_system_score_gemma":0.000959328,"threshold_uncertainty_score":0.99983865},"labels":[],"label_agreement":null},{"id":"W4363678200","doi":"10.16997/ats.1384","title":"It’s snowing? Keep on rolling! Individual determinants of winter cycling in Québec","year":2023,"lang":"en","type":"article","venue":"Active Travel Studies","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec; Université de Montréal; Université du Québec à Montréal","funders":"","keywords":"Habit; Theory of planned behavior; Cycling; Structural equation modeling; Psychology; Longitudinal study; Demography; Intervention (counseling); Computer-assisted web interviewing; Generalized estimating equation; Gerontology; Medicine; Social psychology; Geography; Control (management); Mathematics","score_opus":0.11112653888911785,"score_gpt":0.39553784917937146,"score_spread":0.2844113102902536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4363678200","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99433506,0.00013930851,0.0000027423278,0.0007946416,0.00020693526,0.0001798929,0.000019024712,0.00003752918,0.00428489],"genre_scores_gemma":[0.99916023,0.00014483249,0.000013825244,0.00012699343,0.00008688213,0.000020183033,0.0000017857753,0.000008841753,0.0004364543],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986869,0.00008301391,0.0003090495,0.0002689361,0.00033582345,0.000316289],"domain_scores_gemma":[0.99918103,0.00049179594,0.000107094565,0.00010591511,0.00007576334,0.00003837406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006318388,0.00012533573,0.00034458895,0.00013777193,0.00025815432,0.0000135616165,0.0002327676,0.000064742606,0.000027806964],"category_scores_gemma":[0.00032180085,0.00010822216,0.00009171008,0.00042875716,0.00038474923,0.00017975284,0.00004152386,0.00015189633,0.000019971707],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006112643,0.000086005624,0.8405953,0.00002388674,0.0000801872,0.000014996398,0.14792383,0.000005963703,0.000060342994,0.000025445728,0.00013674168,0.010986196],"study_design_scores_gemma":[0.00029795588,0.00005280199,0.94287735,0.000114112125,0.000024554784,2.5759032e-8,0.05245943,0.0000063726975,0.0030957335,0.0006876783,0.00026517853,0.00011878571],"about_ca_topic_score_codex":0.010098273,"about_ca_topic_score_gemma":0.21279976,"teacher_disagreement_score":0.20270148,"about_ca_system_score_codex":0.00010624212,"about_ca_system_score_gemma":0.00011603272,"threshold_uncertainty_score":0.9964936},"labels":[],"label_agreement":null},{"id":"W4363679553","doi":"10.1002/sd.2537","title":"The sustainable transport planning index: A tool for the sustainable implementation of public transportation","year":2023,"lang":"en","type":"article","venue":"Sustainable Development","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario College of Art and Design","funders":"Mitacs; Government of Ontario","keywords":"Sustainable transport; Sustainability; Comparability; Transportation planning; Public transport; Analytic hierarchy process; Greenhouse gas; Context (archaeology); Index (typography); Environmental economics; Process (computing); Sustainable development; Business; Computer science; Transport engineering; Operations research; Economics; Engineering; Mathematics","score_opus":0.02661099110717296,"score_gpt":0.3289069488761776,"score_spread":0.30229595776900464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4363679553","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98032856,0.00047413592,0.008783408,0.004220413,0.00017405803,0.004380244,0.000013591198,0.00024477983,0.0013808085],"genre_scores_gemma":[0.9458099,0.000066848654,0.00011390892,0.00005389072,0.000082076236,0.0012880213,0.00017377577,0.000030289495,0.052381273],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9959578,0.000097597454,0.00082153874,0.00040716643,0.00082006224,0.0018958257],"domain_scores_gemma":[0.99726903,0.00054633245,0.00030198015,0.00032050785,0.0014397001,0.00012246768],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0065437504,0.0002355789,0.0002619389,0.00024079444,0.0050263293,0.0002626563,0.0007145336,0.00012781685,0.000094478564],"category_scores_gemma":[0.00019373393,0.0001692217,0.0001556441,0.0020721103,0.00033690257,0.0009673373,0.00003111466,0.0001720977,0.0000029284377],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018448487,0.000090924426,0.5710462,0.0010663391,0.00020464546,0.000119745666,0.123958305,0.00042893205,0.000008039085,0.2884619,0.0026814223,0.01174908],"study_design_scores_gemma":[0.00041553826,0.000021397631,0.3267382,0.000006593863,0.000026034893,5.5594114e-8,0.401115,0.000014138051,0.00014242092,0.0060227015,0.2653539,0.00014402512],"about_ca_topic_score_codex":0.006126672,"about_ca_topic_score_gemma":0.0040255594,"teacher_disagreement_score":0.2824392,"about_ca_system_score_codex":0.0006634494,"about_ca_system_score_gemma":0.0035108023,"threshold_uncertainty_score":0.996269},"labels":[],"label_agreement":null},{"id":"W4364360377","doi":"10.16997/ats.1355","title":"Situating divergent perceptions of a rapid-cycling network in Montréal, Canada","year":2023,"lang":"en","type":"article","venue":"Active Travel Studies","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Cycling; Equity (law); Perception; Public relations; Situated; Environmental planning; Business; Geography; Psychology; Political science","score_opus":0.05278324381573862,"score_gpt":0.3311911617262214,"score_spread":0.27840791791048275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4364360377","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957693,0.0009764994,0.000018988932,0.0006559284,0.00024457162,0.00017093115,0.000016787646,0.000025248843,0.0021217274],"genre_scores_gemma":[0.9982215,0.0013351975,0.00004926359,0.00003404114,0.00011648481,0.000021157513,0.0000039943993,0.000004606989,0.00021371827],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99896455,0.00007931482,0.00022514405,0.00017273903,0.00026136616,0.00029686023],"domain_scores_gemma":[0.9994107,0.00030803873,0.000077244105,0.00007372335,0.00008986526,0.000040415696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003896998,0.000081457634,0.00022926956,0.000038271286,0.0005181393,0.0000058507976,0.00011142599,0.000029346,0.000048059464],"category_scores_gemma":[0.00016744381,0.00007530375,0.00004925325,0.0006089529,0.00017547888,0.00009974572,0.000034710072,0.00009486971,0.0000022635575],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019878855,0.000040599836,0.91221565,0.000026148846,0.00012284286,0.000011163691,0.074854165,0.00057711196,0.00014981657,0.0002019622,0.0026315192,0.009149127],"study_design_scores_gemma":[0.000110971545,0.000008782593,0.8661103,0.000032807486,0.00001525412,9.2028145e-9,0.13274135,0.000029231885,0.00003722664,0.00062818313,0.00021279638,0.00007309385],"about_ca_topic_score_codex":0.79825306,"about_ca_topic_score_gemma":0.9862985,"teacher_disagreement_score":0.18804541,"about_ca_system_score_codex":0.0001989073,"about_ca_system_score_gemma":0.00019431376,"threshold_uncertainty_score":0.39851606},"labels":[],"label_agreement":null},{"id":"W4364374467","doi":"10.1016/j.trd.2023.103730","title":"Highway expansion and impacts on land use changes: An event study approach","year":2023,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Institut National de la Recherche Scientifique; HEC Montréal","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Land use; Event (particle physics); Environmental science; Land use, land-use change and forestry; Transport engineering; Environmental resource management; Geography; Environmental planning; Engineering; Civil engineering","score_opus":0.14539892705419138,"score_gpt":0.37898515970859603,"score_spread":0.23358623265440465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4364374467","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99735504,0.00005962058,0.000067664434,0.00058122183,0.000062557345,0.0014406049,0.00011076756,0.00015199282,0.00017049737],"genre_scores_gemma":[0.99624354,0.0020254934,0.000037834994,0.00003927955,0.00011038073,0.00022127759,0.0005902203,0.000029564302,0.0007024328],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99653155,0.0002810581,0.00035786256,0.0007777882,0.0013446913,0.0007070471],"domain_scores_gemma":[0.9988822,0.00012531423,0.000054495227,0.00032972888,0.000044611726,0.00056369044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023255735,0.00023293617,0.00028165444,0.00024408264,0.0009508999,0.00008717357,0.00017148511,0.00014145244,0.00018901494],"category_scores_gemma":[0.000009626103,0.00020622711,0.000045996392,0.00050543295,0.00050399645,0.00052134035,0.000004912198,0.00033700437,0.000022234406],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020475796,0.000848835,0.96563894,0.00005222156,0.00003157807,0.000065933295,0.030662676,0.00023191846,0.0001087895,0.00026349913,0.00006646555,0.0018244148],"study_design_scores_gemma":[0.0008759568,0.0005568656,0.9826894,0.000029169194,0.000039614264,7.558799e-8,0.0076489854,0.000067336136,0.000040617906,0.00012343907,0.007696589,0.00023199632],"about_ca_topic_score_codex":0.0051953173,"about_ca_topic_score_gemma":0.021830913,"teacher_disagreement_score":0.02301369,"about_ca_system_score_codex":0.0000573006,"about_ca_system_score_gemma":0.00006614686,"threshold_uncertainty_score":0.9960181},"labels":[],"label_agreement":null},{"id":"W4364379377","doi":"10.32920/19027538","title":"From mandate to movement: making Toronto fully accessible","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Mandate; Legislation; Web accessibility; Plan (archaeology); Urban design; Urban planning; Political science; Key (lock); Public administration; Public relations; Engineering; Computer science; Geography; Civil engineering; Law; World Wide Web; Computer security","score_opus":0.07397500767898232,"score_gpt":0.3886133142442301,"score_spread":0.3146383065652478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4364379377","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6124622,0.00043128149,0.006946971,0.0060832975,0.0062964773,0.0016224325,0.0005683139,0.0015473019,0.36404172],"genre_scores_gemma":[0.95304364,0.00009787759,0.0026504975,0.0012455498,0.0018454886,0.00012501178,0.00016649558,0.000042616346,0.04078284],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973125,0.00008640888,0.0004540384,0.0009161334,0.00069108367,0.0005398659],"domain_scores_gemma":[0.99879247,0.00006806784,0.00015308996,0.000658935,0.00010708194,0.00022038148],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007198341,0.00026524102,0.00037341937,0.00005419352,0.00038994968,0.00062803755,0.0013514459,0.0003318711,0.010855766],"category_scores_gemma":[0.00005037661,0.0002530462,0.00018159668,0.00016559476,0.000060692717,0.00041512947,0.0007699229,0.0002743076,0.00038319192],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021287205,0.0004059823,0.77129143,0.00041465947,0.0005561634,0.00008728915,0.08788578,0.0003434574,0.00043382242,0.014927565,0.08156833,0.041872624],"study_design_scores_gemma":[0.00057985575,0.000042234402,0.5427237,0.00084947544,0.00022579677,9.199662e-9,0.018784825,0.00018029066,0.00074931217,0.29706892,0.13662054,0.0021750382],"about_ca_topic_score_codex":0.3591979,"about_ca_topic_score_gemma":0.5917071,"teacher_disagreement_score":0.34058142,"about_ca_system_score_codex":0.00042155688,"about_ca_system_score_gemma":0.00032054383,"threshold_uncertainty_score":0.9999922},"labels":[],"label_agreement":null},{"id":"W4364381334","doi":"10.32920/19027538.v1","title":"From mandate to movement: making Toronto fully accessible","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Mandate; Legislation; Web accessibility; Plan (archaeology); Urban design; Urban planning; Political science; Public administration; Public relations; Computer science; Engineering; Geography; Civil engineering; World Wide Web; Law","score_opus":0.07397500767898232,"score_gpt":0.3886133142442301,"score_spread":0.3146383065652478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4364381334","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6124622,0.00043128149,0.006946971,0.0060832975,0.0062964773,0.0016224325,0.0005683139,0.0015473019,0.36404172],"genre_scores_gemma":[0.95304364,0.00009787759,0.0026504975,0.0012455498,0.0018454886,0.00012501178,0.00016649558,0.000042616346,0.04078284],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973125,0.00008640888,0.0004540384,0.0009161334,0.00069108367,0.0005398659],"domain_scores_gemma":[0.99879247,0.00006806784,0.00015308996,0.000658935,0.00010708194,0.00022038148],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007198341,0.00026524102,0.00037341937,0.00005419352,0.00038994968,0.00062803755,0.0013514459,0.0003318711,0.010855766],"category_scores_gemma":[0.00005037661,0.0002530462,0.00018159668,0.00016559476,0.000060692717,0.00041512947,0.0007699229,0.0002743076,0.00038319192],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021287205,0.0004059823,0.77129143,0.00041465947,0.0005561634,0.00008728915,0.08788578,0.0003434574,0.00043382242,0.014927565,0.08156833,0.041872624],"study_design_scores_gemma":[0.00057985575,0.000042234402,0.5427237,0.00084947544,0.00022579677,9.199662e-9,0.018784825,0.00018029066,0.00074931217,0.29706892,0.13662054,0.0021750382],"about_ca_topic_score_codex":0.3591979,"about_ca_topic_score_gemma":0.5917071,"teacher_disagreement_score":0.34058142,"about_ca_system_score_codex":0.00042155688,"about_ca_system_score_gemma":0.00032054383,"threshold_uncertainty_score":0.9999922},"labels":[],"label_agreement":null},{"id":"W4365451017","doi":"10.1016/j.jth.2023.101615","title":"Impacts of commute mode on body mass index: A longitudinal analysis before and during the COVID-19 pandemic","year":2023,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Montréal; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; California HIV/AIDS Research Program","keywords":"Telecommuting; Body mass index; Pandemic; Demography; Coronavirus disease 2019 (COVID-19); Multilevel model; Longitudinal study; Index (typography); Population; Geography; Mode choice; Demographic economics; Gerontology; Psychology; Medicine; Work (physics); Transport engineering; Public transport; Sociology; Economics; Engineering; Statistics; Mathematics; Computer science","score_opus":0.051951763309017476,"score_gpt":0.38902076416687503,"score_spread":0.33706900085785757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4365451017","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99269116,0.00023495215,0.00044305756,0.006205518,0.00009342555,0.00018380102,0.00006770166,0.000030047702,0.00005034674],"genre_scores_gemma":[0.9985085,0.00095864286,0.00003322066,0.00030416175,0.00012570519,0.0000016939165,0.000009449698,0.000009157214,0.00004943712],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976296,0.0001861131,0.00084149285,0.0001741342,0.0007551076,0.0004135919],"domain_scores_gemma":[0.9982976,0.00014787506,0.000703909,0.00021249984,0.00010560058,0.00053254317],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033169403,0.00013574342,0.0005780201,0.00036725483,0.00062925677,0.000023408074,0.00036841145,0.00009151866,0.0000511059],"category_scores_gemma":[0.00004671915,0.00009130552,0.00032117797,0.0013226932,0.000296367,0.00024062472,0.0000061764567,0.00045457407,6.0156157e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002197266,0.000059879752,0.9894007,0.00016665933,0.0002292493,0.00004047696,0.008740943,0.00083823106,0.000025604568,0.000078737066,0.000034339573,0.00016548175],"study_design_scores_gemma":[0.00055071886,0.00015822533,0.9964937,0.000048017977,0.0002009334,0.00000387229,0.0012373853,0.000066151995,0.000005149625,0.0008102358,0.0003513641,0.000074225085],"about_ca_topic_score_codex":0.013683204,"about_ca_topic_score_gemma":0.09879881,"teacher_disagreement_score":0.085115604,"about_ca_system_score_codex":0.00026128846,"about_ca_system_score_gemma":0.0010191626,"threshold_uncertainty_score":0.99288476},"labels":[],"label_agreement":null},{"id":"W4366176060","doi":"10.1177/03611981231161618","title":"Access to Parks and Green Spaces in Quebec City, Canada: Developing Children-Specific Accessibility Measures","year":2023,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Pedestrian; Equity (law); Destinations; Transport engineering; Business; Socioeconomic status; Work (physics); Environmental planning; Cycling; Land use; Geography; Population; Environmental health; Tourism; Engineering; Medicine; Political science; Civil engineering","score_opus":0.16034126858151945,"score_gpt":0.4223210837192076,"score_spread":0.2619798151376882,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366176060","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9754274,0.00023908737,0.00020095377,0.022007013,0.00040395925,0.001457229,0.0000698438,0.000041246203,0.00015325236],"genre_scores_gemma":[0.997271,0.001304907,0.00023176755,0.000099070894,0.00022477462,0.00007117196,0.000020851126,0.00003348599,0.0007429952],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98985785,0.0017211486,0.0014342982,0.00066216127,0.005017638,0.0013068966],"domain_scores_gemma":[0.99499035,0.0011355627,0.0003253578,0.00043386276,0.0024717338,0.0006431508],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.009867783,0.0002624218,0.0005331525,0.0013188749,0.0013172898,0.00058063475,0.0021014535,0.0002109915,0.000182942],"category_scores_gemma":[0.000346028,0.00021238723,0.00017962589,0.0064384127,0.0009214013,0.0016182404,0.00002652445,0.001789467,0.0000055956393],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044625992,0.00006367369,0.97312313,0.00008549655,0.00004315053,0.00007660349,0.0075246296,0.00012636634,0.00010912864,0.00066954206,0.0035722968,0.014159747],"study_design_scores_gemma":[0.00067632395,0.000059453097,0.9769535,0.00027690147,0.000012857904,5.0144997e-8,0.0039669205,0.0000055921478,0.0002414819,0.003207968,0.0143711865,0.0002277334],"about_ca_topic_score_codex":0.9826331,"about_ca_topic_score_gemma":0.99964297,"teacher_disagreement_score":0.021907942,"about_ca_system_score_codex":0.0009279912,"about_ca_system_score_gemma":0.0045761573,"threshold_uncertainty_score":0.99998283},"labels":[],"label_agreement":null},{"id":"W4366201428","doi":"10.1155/2023/8955504","title":"Effects of Individual and Built Environmental Features on Commuting Mode Shifts before and after the COVID-19 Outbreak in Guangzhou, China","year":2023,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Social Science Fund of China; National Office for Philosophy and Social Sciences","keywords":"China; Public transport; Socioeconomic status; Government (linguistics); Travel behavior; Mode (computer interface); Outbreak; Coronavirus disease 2019 (COVID-19); Pandemic; Built environment; Business; Geography; Mode choice; Public health; Demographic economics; Environmental health; Transport engineering; Socioeconomics; Engineering; Economics; Disease; Medicine; Computer science; Civil engineering","score_opus":0.009372911016237653,"score_gpt":0.2955189800546464,"score_spread":0.2861460690384087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366201428","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984484,0.00032909843,0.00002795227,0.00085204985,0.00007847249,0.00020559198,0.000035181973,0.000008625234,0.000014633272],"genre_scores_gemma":[0.9994387,0.00021172917,0.000118883625,0.00015242839,0.000042550797,0.0000052657856,0.000014223503,0.0000065160034,0.000009714468],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990244,0.000075750526,0.00029681635,0.00010765913,0.0003561062,0.00013929038],"domain_scores_gemma":[0.99942344,0.00019142445,0.00021984383,0.000055268523,0.000009877439,0.00010011563],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005229035,0.00008669926,0.0001683652,0.00010066479,0.00014808834,0.000019106394,0.000118758675,0.000059381786,0.0000060855227],"category_scores_gemma":[0.00006041376,0.00006243441,0.000050197334,0.00016480341,0.0001740402,0.00031912042,0.0000034965442,0.00020872978,1.3405091e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037354563,0.00006800105,0.89275146,0.00010037691,0.000019843028,0.000045930556,0.09766081,0.0014226951,0.00051341264,0.00014461129,0.0000067274486,0.0068925926],"study_design_scores_gemma":[0.0008110893,0.00010363609,0.9918513,0.00006473581,0.0000396798,6.118898e-7,0.0036877515,0.000003283564,0.00016030433,0.0031475949,0.00007291689,0.000057137262],"about_ca_topic_score_codex":0.0002164155,"about_ca_topic_score_gemma":0.007085719,"teacher_disagreement_score":0.0990998,"about_ca_system_score_codex":0.000036385823,"about_ca_system_score_gemma":0.000047442805,"threshold_uncertainty_score":0.39539975},"labels":[],"label_agreement":null},{"id":"W4366212372","doi":"10.1108/s2044-994120230000018002","title":"Index","year":2023,"lang":"en","type":"paratext","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Population; Political science; Geography; Public administration; Sociology; Demography","score_opus":0.0439579576299558,"score_gpt":0.35332276486955533,"score_spread":0.3093648072395995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366212372","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001002853,0.00016443386,0.000108512504,0.00056889886,0.004149185,0.00015083834,0.00003153015,0.00016114608,0.9936626],"genre_scores_gemma":[0.067910455,0.00021435854,0.0000098106775,0.00012346242,0.0012095125,0.000010633832,0.000092589115,0.000016210484,0.93041295],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99894744,0.000044508583,0.00015356304,0.0002511168,0.00033031724,0.00027305965],"domain_scores_gemma":[0.99957776,0.000055821944,0.000052553052,0.00017401612,0.000049040333,0.00009078055],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00028918948,0.00010288379,0.0001776141,0.00006361178,0.00025422845,0.00008268171,0.00036756764,0.00034657863,0.07910719],"category_scores_gemma":[0.00002265536,0.000089892535,0.00009974192,0.00033260847,0.00018054181,0.00008518566,0.000019969477,0.00021837141,0.08310955],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000013910819,0.000009071435,0.0033906559,0.000016098107,0.000009039101,0.0000019316474,0.0005389816,6.208513e-7,1.7514594e-7,0.00041435473,0.9946694,0.0009483276],"study_design_scores_gemma":[0.00003520486,0.0000022918764,0.0057395757,0.000014084536,0.000005836092,3.5263898e-9,0.0003681824,8.54032e-7,0.0000022567615,0.0005597119,0.9931402,0.0001317566],"about_ca_topic_score_codex":0.020634936,"about_ca_topic_score_gemma":0.030218124,"teacher_disagreement_score":0.0669076,"about_ca_system_score_codex":0.000051060662,"about_ca_system_score_gemma":0.0003917295,"threshold_uncertainty_score":0.98747784},"labels":[],"label_agreement":null},{"id":"W4366424894","doi":"10.4000/articulo.5364","title":"Metropolitan mobility options and individual identities: How much households' mobility choices are determined by residential-related identities?","year":2023,"lang":"en","type":"article","venue":"Articulo – revue de sciences humaines","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Montreal Police Service","funders":"","keywords":"Metropolitan area; Typology; Travel behavior; Travel survey; Order (exchange); Relocation; Demographic economics; Sociology; Marketing; Business; Geography; Transport engineering; Computer science; Economics; Engineering","score_opus":0.0433727841705284,"score_gpt":0.3108637931721313,"score_spread":0.2674910090016029,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366424894","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9927536,0.0006200146,0.000035147557,0.0025837834,0.0005394186,0.0005597796,0.0001725148,0.0005024184,0.0022333048],"genre_scores_gemma":[0.9941125,0.00024814808,0.00013461556,0.000076472024,0.00024194035,0.00009805832,0.00003252455,0.000018262277,0.0050375047],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99602824,0.0004976142,0.0005929423,0.00093999435,0.0009019234,0.0010392985],"domain_scores_gemma":[0.9981708,0.0004751994,0.00033402466,0.00045946334,0.00019434531,0.00036616277],"candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":["sts"],"category_scores_codex":[0.0044928147,0.00028131256,0.00041667136,0.00027357496,0.0032212748,0.0013765845,0.0009600227,0.00019708434,0.00021276597],"category_scores_gemma":[0.0011405014,0.00026972097,0.00018849097,0.0021916253,0.0042679072,0.0023807306,0.00018967957,0.00023086963,0.000027152393],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011573644,0.00018933445,0.9728554,0.00017961624,0.00006297499,0.000031939453,0.009248477,0.000029106111,0.001275091,0.010246059,0.0057548457,0.00011556954],"study_design_scores_gemma":[0.00051569624,0.00009912513,0.90823305,0.00009574965,0.00015202758,0.000004987176,0.040634673,0.00034321292,0.00077842595,0.047219694,0.0013202467,0.0006031401],"about_ca_topic_score_codex":0.0042474484,"about_ca_topic_score_gemma":0.016457926,"teacher_disagreement_score":0.064622395,"about_ca_system_score_codex":0.00029083743,"about_ca_system_score_gemma":0.00033080386,"threshold_uncertainty_score":0.9999755},"labels":[],"label_agreement":null},{"id":"W4366494935","doi":"10.1016/j.tbs.2023.100588","title":"Social equity analysis of public transit accessibility to healthcare might be erroneous when travel time uncertainty impacts are overlooked","year":2023,"lang":"en","type":"article","venue":"Travel Behaviour and Society","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":36,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Social Sciences and Humanities Research Council of Canada; Canadian Institutes of Health Research; Western University","keywords":"Equity (law); Business; Health care; Public transport; Transport engineering; Travel time; Social equality; Transit (satellite); Public health; Poison control; Public economics; Actuarial science; Economics; Environmental health; Engineering; Medicine; Political science; Economic growth; Nursing","score_opus":0.0914066952090018,"score_gpt":0.3797493099292855,"score_spread":0.2883426147202837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366494935","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9889498,0.000096665535,0.0001927454,0.008154903,0.00008485497,0.0006271529,0.0011468525,0.00017370206,0.0005733523],"genre_scores_gemma":[0.9979381,0.00005637402,0.000085509324,0.00049044425,0.00011759053,0.000028142078,0.00030231467,0.000024509778,0.00095703185],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99592596,0.00035567934,0.00074234547,0.0008466175,0.0010860851,0.0010433216],"domain_scores_gemma":[0.9981147,0.00015021945,0.00028094198,0.00039059148,0.00036608984,0.0006974817],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0027834761,0.00034094285,0.0010212441,0.00019097645,0.0012760763,0.00019188892,0.0006165163,0.000478445,0.0005504711],"category_scores_gemma":[0.00007149981,0.0003275287,0.00096271315,0.0024595663,0.0006921842,0.000411192,0.000095849,0.00037812773,0.000006453857],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052531836,0.0003227182,0.8419869,0.00012830553,0.00043671165,0.000008485199,0.1522643,0.000007781602,0.00070456165,0.00033746092,0.0017985548,0.0019516998],"study_design_scores_gemma":[0.0004892818,0.000051853713,0.97738093,0.000015807298,0.0007921065,1.2280279e-7,0.02004966,0.00019470023,0.0000879343,0.0005303645,0.000054369644,0.00035287475],"about_ca_topic_score_codex":0.01766269,"about_ca_topic_score_gemma":0.032141175,"teacher_disagreement_score":0.13539404,"about_ca_system_score_codex":0.00033347023,"about_ca_system_score_gemma":0.0005221082,"threshold_uncertainty_score":0.9999177},"labels":[],"label_agreement":null},{"id":"W4366596234","doi":"10.16997/ats.1393","title":"Is Canada’s commuter bicycling population becoming more representative of the general population over time? A national portrait of bicycle commute mode share 1996–2016.","year":2023,"lang":"en","type":"article","venue":"Active Travel Studies","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University; Simon Fraser University; University of Toronto","funders":"","keywords":"Metropolitan area; Geography; Demographics; American Community Survey; Equity (law); Demography; Population; Census; Cycling; Race (biology); Demographic economics; Socioeconomics; Political science; Sociology; Economics","score_opus":0.08270553855937614,"score_gpt":0.4001820352554617,"score_spread":0.3174764966960856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366596234","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965443,0.000070598035,0.0000055240553,0.0015786601,0.00013251173,0.00030284643,0.00060936186,0.000021117497,0.0007350703],"genre_scores_gemma":[0.99893206,0.000019588975,0.00007644456,0.00013472608,0.000083439496,0.000015360833,0.0001355691,0.000010297693,0.0005925181],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99831903,0.00014188637,0.00040411702,0.00022420332,0.0007055655,0.00020519059],"domain_scores_gemma":[0.9988719,0.0002735659,0.00036067443,0.00016571498,0.00029500824,0.000033136428],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033891998,0.00012842755,0.0003034563,0.00007585666,0.0005827353,0.000011020939,0.000236903,0.000056314977,0.000060822662],"category_scores_gemma":[0.00016444932,0.000101844525,0.000120886245,0.00045471417,0.00023528402,0.00029852812,0.00007725764,0.0001222814,7.0446845e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003249577,0.00003832072,0.9625281,0.000030099185,0.00021895577,7.319957e-7,0.033481125,0.00029996753,0.00040262807,0.00025190003,0.0023362127,0.00037947053],"study_design_scores_gemma":[0.00022175351,0.000006412424,0.9881618,0.00006041739,0.000039840867,5.538675e-8,0.007030539,0.0007576885,0.0010083967,0.002577108,0.000030220826,0.00010576043],"about_ca_topic_score_codex":0.7779057,"about_ca_topic_score_gemma":0.67265296,"teacher_disagreement_score":0.10525276,"about_ca_system_score_codex":0.0002916628,"about_ca_system_score_gemma":0.00023359747,"threshold_uncertainty_score":0.44819877},"labels":[],"label_agreement":null},{"id":"W4366691175","doi":"10.1080/15568318.2023.2196264","title":"Assessing the potential of cycling growth in Toronto, Canada","year":2023,"lang":"en","type":"article","venue":"International Journal of Sustainable Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"The Scarborough Hospital; York University; University of Toronto","funders":"","keywords":"Cycling; TRIPS architecture; Transport engineering; Sustainable transport; Kilometer; Travel survey; Travel behavior; Recreation; Business; Geography; Engineering; Sustainability","score_opus":0.011438496174328894,"score_gpt":0.32401629588628933,"score_spread":0.3125777997119604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366691175","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954116,0.00010546868,0.0005497864,0.001973048,0.00056406995,0.00008603855,0.00000525997,0.0000072175276,0.0012975141],"genre_scores_gemma":[0.999421,0.00009990764,0.000051588166,0.000036491343,0.00018513545,0.0000017048025,0.00001388482,0.000004919062,0.00018535559],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99835384,0.00006154605,0.00052365725,0.00007315046,0.0008070165,0.0001808184],"domain_scores_gemma":[0.99850243,0.00010114076,0.00033849577,0.00003804988,0.0009805042,0.00003935155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011410054,0.000055663833,0.000116704665,0.000096803386,0.00010778477,0.000063024076,0.00037053178,0.000037108082,0.00010517903],"category_scores_gemma":[0.000107401276,0.00004522513,0.00007158101,0.00028432082,0.000071180475,0.0012235321,0.0000027923536,0.00011560694,1.6194775e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013024214,0.00010806914,0.9488433,0.00006774244,0.000104614024,0.0012369575,0.0144076925,0.0051571755,0.0005484274,0.026222944,0.00031617226,0.0028566585],"study_design_scores_gemma":[0.00029516438,0.000008436192,0.9041648,0.000035795038,0.000016571084,4.832417e-7,0.09121526,0.000059046553,0.00022268691,0.0035055308,0.00042835227,0.000047883852],"about_ca_topic_score_codex":0.7992589,"about_ca_topic_score_gemma":0.8187808,"teacher_disagreement_score":0.076807566,"about_ca_system_score_codex":0.0005891173,"about_ca_system_score_gemma":0.0013004054,"threshold_uncertainty_score":0.23068632},"labels":[],"label_agreement":null},{"id":"W4366780644","doi":"10.1061/jupddm.upeng-4268","title":"Employing Geographic Information Systems in Analyzing Pedestrian Accessibility to Public Bus Stops in Halifax","year":2023,"lang":"en","type":"article","venue":"Journal of Urban Planning and Development","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Mount Saint Vincent University; Saint Mary's University","funders":"","keywords":"Pedestrian; Geographic information system; Transport engineering; Public transport; Computer science; Geography; Cartography; Engineering","score_opus":0.05268918392972474,"score_gpt":0.31931448343147917,"score_spread":0.2666252995017544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366780644","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979894,0.0005405729,0.00029875766,0.00035905317,0.0002951886,0.00016435172,0.0000019807485,0.000029934536,0.00032074668],"genre_scores_gemma":[0.99955463,0.000027973207,0.00026680116,0.00003751201,0.000067431785,0.0000065244453,0.000008179058,0.000003968807,0.000026983818],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99803203,0.00012662887,0.0009019786,0.00013624817,0.00045035165,0.00035273464],"domain_scores_gemma":[0.9991736,0.00011276357,0.0003003498,0.00007481719,0.00013490675,0.00020358343],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041638217,0.000106055006,0.00027604707,0.0011579237,0.00025038075,0.00033310926,0.00022211613,0.00008413211,0.000004648554],"category_scores_gemma":[0.00029692435,0.000095278425,0.000033414643,0.001388655,0.00004040265,0.0011772172,0.00003356133,0.00024446083,0.0000037599193],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026427762,0.000021173528,0.9692167,0.00004640098,0.000009758191,0.00002867831,0.025723461,0.00025622433,0.0000037516654,0.000020297382,0.00016068113,0.0044864635],"study_design_scores_gemma":[0.00036322168,0.000017627652,0.9812786,0.00027024793,0.0000032454802,0.0000011974322,0.007730179,0.000051089595,0.000003866261,0.00004408038,0.0101190675,0.000117599506],"about_ca_topic_score_codex":0.0014336203,"about_ca_topic_score_gemma":0.0016561394,"teacher_disagreement_score":0.017993283,"about_ca_system_score_codex":0.00020290793,"about_ca_system_score_gemma":0.00051456643,"threshold_uncertainty_score":0.38853416},"labels":[],"label_agreement":null},{"id":"W4366815709","doi":"10.1139/cjce-2022-0445","title":"Modelling transit and automobile trip-generation propensities of post-secondary students in the Greater Toronto and Hamilton area: a cross-sectional study","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Toronto; Carleton University","funders":"","keywords":"TRIPS architecture; Transit (satellite); Trip generation; Transport engineering; Probit; Bivariate analysis; Demographics; Descriptive statistics; Probit model; Travel behavior; Ordered probit; Public transport; Geography; Business; Engineering; Econometrics; Economics; Statistics; Mathematics; Demography; Sociology","score_opus":0.03374369814036971,"score_gpt":0.27076726922361316,"score_spread":0.23702357108324346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366815709","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988981,0.00047005535,0.00013919339,0.000030090838,0.00014674183,0.0001814708,0.000010893037,0.0000051599827,0.000118332246],"genre_scores_gemma":[0.99981934,0.00002239534,0.000009861333,0.000011179507,0.00008736564,0.0000039609495,0.00000190756,0.000005315579,0.0000386737],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992441,0.00004019561,0.0002632475,0.00008572464,0.00021745877,0.0001492865],"domain_scores_gemma":[0.99968034,0.000029619101,0.000048329137,0.000047561145,0.00008941419,0.00010475411],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011117315,0.000064861866,0.0001297248,0.000114772,0.00014776524,0.00013627064,0.0001227605,0.000039009716,0.000041586016],"category_scores_gemma":[0.000016267164,0.00005172796,0.000028609407,0.00011901799,0.000057508223,0.00040378352,0.0000028019767,0.00011853009,8.50765e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000968973,0.00001243546,0.9039796,0.000022426064,0.000021580981,0.000043686123,0.06355315,0.0321713,0.0000940307,0.000015281617,0.000009793342,0.000066999055],"study_design_scores_gemma":[0.0003314296,0.000070967915,0.9901755,0.000023288983,0.000011106167,0.0000035912515,0.00440939,0.0048071765,0.000010202826,0.00001602438,0.00008165983,0.00005969597],"about_ca_topic_score_codex":0.040111683,"about_ca_topic_score_gemma":0.7831727,"teacher_disagreement_score":0.74306107,"about_ca_system_score_codex":0.000083912004,"about_ca_system_score_gemma":0.0002455979,"threshold_uncertainty_score":0.9662803},"labels":[],"label_agreement":null},{"id":"W4366827482","doi":"10.21203/rs.3.rs-2833694/v1","title":"Physical environment features that predict outdoor active play can be measured using Google Street View images","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BC Children's Hospital; Simon Fraser University; Brock University; University of British Columbia; Queen's University","funders":"","keywords":"Pedestrian; Variety (cybernetics); Measure (data warehouse); Computer science; Context (archaeology); Artificial intelligence; Machine learning; Transport engineering; Data mining; Geography; Engineering","score_opus":0.17872332488391796,"score_gpt":0.4322319108244794,"score_spread":0.25350858594056147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366827482","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9841094,0.001167622,0.00005770941,0.0045863823,0.00047516281,0.0030614052,0.0036656447,0.00032130058,0.0025553745],"genre_scores_gemma":[0.9953698,0.00064060645,0.00010482258,0.000016838407,0.00105748,0.00022397288,0.00038376352,0.00006740575,0.002135308],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9917583,0.0014875947,0.00029525397,0.001252866,0.0039507053,0.0012552844],"domain_scores_gemma":[0.99765,0.00055100967,0.00016850518,0.0008906619,0.0002524797,0.00048730927],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.002632139,0.00040130332,0.0006396526,0.00024027297,0.0012266453,0.00040135506,0.0012527098,0.00049359805,0.00026963733],"category_scores_gemma":[0.00039429683,0.00035826597,0.0004039876,0.00041663513,0.0013040077,0.00025539717,0.000829358,0.0023147783,0.000032126776],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006901534,0.0030858032,0.7882221,0.0046445834,0.0014829582,0.0006484318,0.13294677,0.0019442094,0.0036771812,0.00059987593,0.029318815,0.032739133],"study_design_scores_gemma":[0.00067086465,0.00018122995,0.9453604,0.0016683465,0.00019971032,2.7873986e-7,0.024458071,0.00019045592,0.0082307635,0.0080141965,0.009884674,0.0011409615],"about_ca_topic_score_codex":0.041012365,"about_ca_topic_score_gemma":0.031927392,"teacher_disagreement_score":0.15713836,"about_ca_system_score_codex":0.0012512812,"about_ca_system_score_gemma":0.0013989538,"threshold_uncertainty_score":0.99998695},"labels":[],"label_agreement":null},{"id":"W4366956392","doi":"10.46692/9781529219029.019","title":"Pandemic-and Future-Proofing Cities: Pedestrian-oriented Development as an Alternative Model to Transit-based Intensification Centers","year":2021,"lang":"en","type":"other","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Pedestrian; Pandemic; Transit (satellite); Coronavirus disease 2019 (COVID-19); Transport engineering; Geography; Medicine; Engineering; Public transport","score_opus":0.05167402028425897,"score_gpt":0.3259997875824761,"score_spread":0.2743257672982171,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366956392","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14555639,0.000864472,0.16918695,0.0028437385,0.0019719235,0.0024996062,0.00010930149,0.00088212255,0.6760855],"genre_scores_gemma":[0.48809084,0.00039133517,0.030005943,0.003122167,0.0020893551,0.00019198738,0.0011364004,0.0003880202,0.47458395],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.99813604,0.00010537059,0.0003153714,0.0006712232,0.00044597895,0.00032598976],"domain_scores_gemma":[0.9991759,0.00002803356,0.00013030726,0.00023733797,0.0001492354,0.00027919846],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00034650025,0.00026559783,0.00032674772,0.00018353491,0.00023596555,0.000100628415,0.00025845735,0.00025745248,0.0014635248],"category_scores_gemma":[0.000027806429,0.0002499861,0.000069084344,0.00024353803,0.00014957851,0.000104789426,0.000013704889,0.0001778381,0.000006472999],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011102998,0.0020514743,0.21757834,0.0018128009,0.0013696122,0.00014697624,0.50398034,0.00046227247,0.001095389,0.031118413,0.059927616,0.1793465],"study_design_scores_gemma":[0.0016905251,0.000091922746,0.005190006,0.0008049423,0.00014236779,5.805657e-7,0.04608988,0.0021395201,0.00080941385,0.00058996875,0.94072205,0.0017288236],"about_ca_topic_score_codex":0.0082046185,"about_ca_topic_score_gemma":0.047565114,"teacher_disagreement_score":0.8807944,"about_ca_system_score_codex":0.00017863458,"about_ca_system_score_gemma":0.00076627807,"threshold_uncertainty_score":0.99999523},"labels":[],"label_agreement":null},{"id":"W4366959356","doi":"10.46692/9781529219067.005","title":"More Cycling and Road Closures, But for Whom and Where?","year":2021,"lang":"en","type":"other","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cycling; Transport engineering; Geography; Engineering; Archaeology","score_opus":0.02461355770509699,"score_gpt":0.32432898174136404,"score_spread":0.29971542403626705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366959356","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026973033,0.039522015,0.00022737439,0.0010623449,0.00040144104,0.0006551574,0.0000931109,0.00016024351,0.9309053],"genre_scores_gemma":[0.012495256,0.0015398735,0.002060294,0.00011262218,0.0007573939,0.000016910799,0.000038724636,0.00008179433,0.9828971],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991785,0.000025818012,0.00012223003,0.00033998824,0.00014111998,0.00019230155],"domain_scores_gemma":[0.999654,0.000050021405,0.00006188428,0.00012001759,0.000023261226,0.00009079643],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00021096926,0.00012447145,0.00023498009,0.000034662247,0.00021355347,0.0001561992,0.00009656722,0.00026996518,0.0022800874],"category_scores_gemma":[0.000024604396,0.000106839856,0.000050616738,0.000055919165,0.00031601262,0.00004397135,0.000017715465,0.000083157174,9.331686e-7],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023963497,0.00009553352,0.5611492,0.0011107423,0.00018819771,0.000019614477,0.005337994,5.8331473e-8,0.00006021801,0.002742405,0.34883127,0.08044083],"study_design_scores_gemma":[0.00021788111,0.0000068341465,0.0129705435,0.00012931242,0.000037879665,1.0644469e-7,0.0014976342,0.0000039941438,0.000006619754,0.00043037627,0.9845008,0.00019801832],"about_ca_topic_score_codex":0.024581311,"about_ca_topic_score_gemma":0.1493239,"teacher_disagreement_score":0.6356695,"about_ca_system_score_codex":0.000009983897,"about_ca_system_score_gemma":0.00010798865,"threshold_uncertainty_score":0.99863195},"labels":[],"label_agreement":null},{"id":"W4366980086","doi":"10.1016/j.healthplace.2023.103025","title":"Does work-related and commuting physical activity predict changes in physical activity and sedentary behavior during the transition to retirement? GPS and accelerometer study","year":2023,"lang":"en","type":"article","venue":"Health & Place","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Turun Yliopistosäätiö; Opetus- ja Kulttuuriministeriö; Emil Aaltosen Säätiö; Turun Yliopistollinen Keskussairaala; Juho Vainion Säätiö; Turun Yliopisto; Academy of Finland","keywords":"Physical activity; Sedentary behavior; Accelerometer; Work (physics); Gerontology; Psychology; Medicine; Physical medicine and rehabilitation; Computer science; Engineering","score_opus":0.03996532843812617,"score_gpt":0.3569065132252495,"score_spread":0.31694118478712335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366980086","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9907414,0.000014457042,0.0000010231474,0.007714669,0.00007628812,0.001333173,0.000023119183,0.00008536312,0.000010520885],"genre_scores_gemma":[0.99963355,0.000043049877,0.0000035902024,0.00006631256,0.0001017403,0.00009150228,0.0000032946198,0.000009445248,0.000047502395],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984374,0.0004397543,0.00010380743,0.00036786072,0.00028557767,0.00036559705],"domain_scores_gemma":[0.9993635,0.0002738507,0.00006397898,0.00013248807,0.00001280839,0.00015339666],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008855049,0.0001302886,0.00024847395,0.00006311837,0.0007675292,0.000077031065,0.000092242706,0.000047435133,0.0000054456914],"category_scores_gemma":[0.000020510597,0.00008703963,0.000020818252,0.00048529764,0.0001678451,0.0002774237,0.00006435033,0.00031132088,7.768871e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017536929,0.0005967482,0.8838671,0.00008707654,0.000011107161,0.000008382512,0.09456895,0.0000016969827,0.0007191801,0.0000014713381,0.000015611336,0.019947303],"study_design_scores_gemma":[0.0004974548,0.00012481939,0.9929434,0.000058134272,0.000022022872,1.4829754e-7,0.0059382287,0.00011311209,0.00017828404,0.000013736654,0.000011556445,0.00009911196],"about_ca_topic_score_codex":0.0050451625,"about_ca_topic_score_gemma":0.020807086,"teacher_disagreement_score":0.10907629,"about_ca_system_score_codex":0.00009888213,"about_ca_system_score_gemma":0.000037565052,"threshold_uncertainty_score":0.99706066},"labels":[],"label_agreement":null},{"id":"W4367173253","doi":"10.1155/2023/9346631","title":"The Impacts of the Multiscale Built Environment on Commuting Mode Choice: Spatial Heterogeneity, Moderating Effects, and Implications for Demand Estimation","year":2023,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Natural Science Foundation of Fujian Province","keywords":"Mode choice; Built environment; Mode (computer interface); Public transport; Multinomial logistic regression; Urbanization; Transport engineering; Population; Land use; Econometrics; Estimation; Per capita; Geography; Computer science; Statistics; Mathematics; Economics; Engineering; Economic growth; Civil engineering; Demography","score_opus":0.019424466772697307,"score_gpt":0.34254846162796126,"score_spread":0.32312399485526394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367173253","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9697122,0.0001152557,0.028423,0.00115182,0.00012149651,0.00043461504,0.000024140212,0.000009507696,0.000007964301],"genre_scores_gemma":[0.99826354,0.00015369397,0.0014617416,0.000016842616,0.00006282133,0.00001690627,0.00001151841,0.0000072239804,0.0000057227603],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999081,0.00006534834,0.0003945179,0.000091480186,0.00022311414,0.00014451971],"domain_scores_gemma":[0.9986673,0.0006484995,0.00045424388,0.00010764921,0.00007244204,0.000049872848],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005400757,0.00007260599,0.00012616189,0.000030494895,0.0007893018,0.000027886823,0.00013977311,0.00004128511,5.827609e-7],"category_scores_gemma":[0.00014391042,0.0000469568,0.00009420198,0.000106946514,0.00011474838,0.00025139362,0.0000027171238,0.00010264351,1.10799604e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011893865,0.00007539424,0.61577576,0.000110936206,0.000038844617,3.2333114e-7,0.006959503,0.3193959,0.018522741,0.0004741684,0.000008623454,0.038518865],"study_design_scores_gemma":[0.0005464565,0.00006884022,0.9874319,0.00007598161,0.000043702217,1.2824667e-7,0.00027719044,0.0034779964,0.004718132,0.0032496583,0.000060579943,0.000049460392],"about_ca_topic_score_codex":0.00017409306,"about_ca_topic_score_gemma":0.0037394648,"teacher_disagreement_score":0.3716561,"about_ca_system_score_codex":0.000041970845,"about_ca_system_score_gemma":0.000042480107,"threshold_uncertainty_score":0.6070751},"labels":[],"label_agreement":null},{"id":"W4367181423","doi":"10.1177/03611981231165017","title":"What is on the Bicycle Paths? A Detailed Vehicle Taxonomy with Mode Share Data for Off-Street Paths in Metropolitan Vancouver, Canada","year":2023,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Metropolitan area; Transport engineering; Data collection; Modal; Cycling; Incentive; Computer science; Engineering; Geography","score_opus":0.1591880224047123,"score_gpt":0.40159733848991513,"score_spread":0.24240931608520283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367181423","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9828738,0.00023440935,0.00010799708,0.012212141,0.00069464446,0.002535024,0.0011507962,0.000029896019,0.00016127159],"genre_scores_gemma":[0.99657,0.0011536656,0.00022476428,0.00018819548,0.00019991529,0.0003277127,0.00012436495,0.00004898485,0.0011624235],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99116826,0.0012154528,0.0011509818,0.00065452955,0.004520876,0.0012898757],"domain_scores_gemma":[0.9930583,0.0029412608,0.00040219317,0.0010233034,0.0021597582,0.00041516786],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.006851143,0.000262997,0.00046645018,0.00064061146,0.0014040472,0.0003043502,0.0027514335,0.0001620109,0.00038314113],"category_scores_gemma":[0.00039654577,0.00016701642,0.00022082614,0.0037824365,0.00077703455,0.0017187172,0.000013475623,0.0016442282,0.0000060738016],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023998327,0.00029649102,0.9001699,0.00020819413,0.00017162562,0.00017888246,0.0060152044,0.0005487161,0.00012385914,0.0014597448,0.08148783,0.0069396812],"study_design_scores_gemma":[0.0019364151,0.00043935116,0.84097606,0.0007653719,0.000058563437,2.589105e-8,0.07250117,0.00092667865,0.00039304994,0.0026551129,0.079032436,0.0003157926],"about_ca_topic_score_codex":0.6842807,"about_ca_topic_score_gemma":0.9981233,"teacher_disagreement_score":0.31384256,"about_ca_system_score_codex":0.0008331447,"about_ca_system_score_gemma":0.003950194,"threshold_uncertainty_score":0.999896},"labels":[],"label_agreement":null},{"id":"W4367310015","doi":"10.1155/2023/2560780","title":"Evaluating Bicycling Environments with Trajectory Data on Shared Bikes: A Case Study of Beijing","year":2023,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"TOPSIS; Beijing; Intersection (aeronautics); Computer science; Transport engineering; Bayesian network; Trajectory; Data collection; Probabilistic logic; Occupancy; Data mining; Engineering; Operations research; Machine learning; Artificial intelligence; Civil engineering","score_opus":0.1186931795011267,"score_gpt":0.41435157754387225,"score_spread":0.2956583980427455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367310015","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990302,0.000040864343,0.00032469738,0.000036126257,0.00015772606,0.00033200395,0.00003288278,0.000019980738,0.000025546426],"genre_scores_gemma":[0.9981376,0.000030069747,0.0016533136,0.000008031454,0.00009040077,0.000004139466,0.000040798343,0.000014267359,0.000021402517],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979827,0.00010596693,0.0006627004,0.0002312302,0.0008382174,0.00017920134],"domain_scores_gemma":[0.99875546,0.00018080145,0.00066403975,0.00023337289,0.000084372135,0.00008196206],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012952571,0.00010730812,0.00024865687,0.0001860489,0.00024082918,0.000018570881,0.00027652318,0.00004033368,0.000026705853],"category_scores_gemma":[0.00006432245,0.00008975137,0.000051298084,0.00051361776,0.00006638617,0.0010014492,0.0000026380644,0.00018719852,9.552742e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008932234,0.0011153652,0.6675084,0.000088300585,0.00018584046,0.0022245192,0.1550555,0.135661,0.005507152,0.00000901861,0.000007060687,0.031744603],"study_design_scores_gemma":[0.0029235922,0.0013413733,0.83268124,0.00025711727,0.000267761,0.0000055345586,0.16179653,0.00020014116,0.00019115364,0.0000630122,0.00009920952,0.00017334001],"about_ca_topic_score_codex":0.00033576827,"about_ca_topic_score_gemma":0.0061979173,"teacher_disagreement_score":0.16517283,"about_ca_system_score_codex":0.00005485001,"about_ca_system_score_gemma":0.000117986645,"threshold_uncertainty_score":0.36599547},"labels":[],"label_agreement":null},{"id":"W4367322667","doi":"10.1111/grow.12678","title":"Developing a typology of daily travelers based on transportation attitudes: Application of latent class analysis using a survey of millennials and older adults in Hamilton, Ontario","year":2023,"lang":"en","type":"article","venue":"Growth and Change","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Latent class model; Typology; License; Possession (linguistics); Perception; Travel behavior; Exploratory analysis; Class (philosophy); Travel survey; Psychology; Geography; Transport engineering; Marketing; Advertising; Business; Computer science; Engineering; Statistics; Mathematics; Data science","score_opus":0.07497780883947112,"score_gpt":0.3167545625452709,"score_spread":0.24177675370579976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367322667","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992252,0.00005676544,0.00035211857,0.000042938696,0.000014574988,0.00023489306,0.000050567094,0.000005718532,0.000017234312],"genre_scores_gemma":[0.999677,0.00006780015,0.00010975989,0.00001879926,0.000005369826,0.000012413267,0.000104007486,0.0000028897095,0.000001959425],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999244,0.000069790585,0.00027050864,0.00016875227,0.00013361416,0.00011337732],"domain_scores_gemma":[0.99961466,0.0000743966,0.00014179842,0.000059441216,0.00007954202,0.000030146906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049599214,0.000060444137,0.00024604858,0.00023021353,0.00003811256,0.0000027364538,0.00005151015,0.00007716624,0.0000066428543],"category_scores_gemma":[0.000012355851,0.00005847407,0.000032975226,0.00094549236,0.00012135144,0.000057887264,0.000001510293,0.00003573669,5.3162307e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008664329,0.000039337046,0.96931195,0.00014200712,0.000023928895,4.151508e-7,0.02956689,0.000009671407,0.0001712165,0.00006830598,2.674189e-7,0.0005793937],"study_design_scores_gemma":[0.00037490317,0.000027422398,0.9979956,0.00005572396,0.000053542513,5.057998e-9,0.0006544862,0.00047496107,0.00028192328,0.000025458949,8.857101e-7,0.00005508858],"about_ca_topic_score_codex":0.404193,"about_ca_topic_score_gemma":0.85308355,"teacher_disagreement_score":0.44889054,"about_ca_system_score_codex":0.000027254806,"about_ca_system_score_gemma":0.00008283378,"threshold_uncertainty_score":0.59977454},"labels":[],"label_agreement":null},{"id":"W4367846401","doi":"10.1177/03611981231164390","title":"Are Telecommuters’ and Non-Telecommuters’ Daily Time-Use Behaviors Different? An Episode-Level Model for Non-Mandatory Activities","year":2023,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Recreation; Schedule; Business; Psychology; Computer science; Ecology","score_opus":0.15441486004417876,"score_gpt":0.4134352996004286,"score_spread":0.2590204395562498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367846401","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9925352,0.00003165234,0.0026332792,0.0021480275,0.0003305048,0.0016893877,0.0005242127,0.00007113117,0.000036626916],"genre_scores_gemma":[0.9946181,0.0005589485,0.0013162266,0.00006376224,0.00020357002,0.0001992467,0.000108149085,0.00008009097,0.0028518713],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9926271,0.0010781335,0.0012436119,0.00060107047,0.0031054942,0.0013445994],"domain_scores_gemma":[0.994198,0.0017640189,0.00063037506,0.0006131829,0.002089875,0.0007044957],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.00604115,0.00034850434,0.0006750271,0.0011692195,0.0023488959,0.00048504327,0.0015336543,0.00033021762,0.00013977432],"category_scores_gemma":[0.00020364985,0.00028311345,0.0004594899,0.0016051054,0.0014733374,0.0026236668,0.000014583362,0.0018530607,0.000009563934],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012880011,0.0004190064,0.9645409,0.00024289283,0.00012226678,0.000052543335,0.0204919,0.0004581863,0.0025951334,0.00014681474,0.0058504906,0.003791866],"study_design_scores_gemma":[0.001553961,0.00035079365,0.98261106,0.00026564582,0.000086412656,7.836911e-8,0.0076931156,0.003474873,0.0005665641,0.0018410499,0.0012474494,0.00030900218],"about_ca_topic_score_codex":0.014883271,"about_ca_topic_score_gemma":0.32926136,"teacher_disagreement_score":0.3143781,"about_ca_system_score_codex":0.00026471127,"about_ca_system_score_gemma":0.00064422074,"threshold_uncertainty_score":0.9999621},"labels":[],"label_agreement":null},{"id":"W4368371480","doi":"10.1177/03611981231161061","title":"Comparing Direct Demand Models for Estimating Pedestrian Volumes at Intersections and Their Spatial Transferability to Other Jurisdictions","year":2023,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Transferability; Pedestrian; Downtown; Transport engineering; Jurisdiction; Socioeconomic status; Geography; Land use; Computer science; Econometrics; Mathematics; Engineering; Population; Civil engineering; Environmental health; Political science; Medicine","score_opus":0.1645467764876542,"score_gpt":0.4194777607540543,"score_spread":0.2549309842664001,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4368371480","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94806004,0.00007368004,0.044193707,0.0044635185,0.00065327296,0.0018473014,0.00021295363,0.00008984106,0.00040567512],"genre_scores_gemma":[0.99686265,0.0001679082,0.0015727825,0.000027290116,0.0003600111,0.00020849436,0.000021749103,0.000045141638,0.0007339539],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9945353,0.0011118113,0.0011548395,0.0005240753,0.0017179415,0.0009559896],"domain_scores_gemma":[0.99507886,0.0018542404,0.00021258257,0.0003380688,0.0019567069,0.0005595183],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.007873266,0.00023132446,0.00051235553,0.0008638178,0.002997863,0.00021691716,0.00073496235,0.00017864663,0.00012674066],"category_scores_gemma":[0.00031596032,0.00018019043,0.00041073182,0.0022334547,0.0009171248,0.00077887846,0.000009326967,0.0009965122,0.0000073862134],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016924178,0.00023309434,0.8994263,0.00034582207,0.0001888394,0.000009696089,0.07089615,0.014626368,0.0012275814,0.0008763645,0.0023304871,0.008146888],"study_design_scores_gemma":[0.0013836615,0.00041301356,0.954145,0.00031660576,0.000072638526,1.11144395e-7,0.009449611,0.014059147,0.0005205975,0.010136369,0.009233761,0.0002694719],"about_ca_topic_score_codex":0.07026513,"about_ca_topic_score_gemma":0.6911712,"teacher_disagreement_score":0.6209061,"about_ca_system_score_codex":0.00035123664,"about_ca_system_score_gemma":0.0005423819,"threshold_uncertainty_score":0.9983001},"labels":[],"label_agreement":null},{"id":"W4368372082","doi":"10.1177/03611981231166682","title":"Public Transit Itinerary Choice Analysis Considering Various Incentives","year":2023,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; Polytechnique Montréal","funders":"Mitacs","keywords":"Overcrowding; Incentive; Public transport; Mixed logit; Business; Discrete choice; Nested logit; Public economics; Service (business); Microeconomics; Transport engineering; Computer science; Logistic regression; Marketing; Economics; Econometrics; Engineering","score_opus":0.20521251063594836,"score_gpt":0.4335392070625082,"score_spread":0.22832669642655984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4368372082","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.983541,0.0002467264,0.0009286951,0.0124374665,0.0005637675,0.00095101394,0.00009614104,0.00013201995,0.0011031394],"genre_scores_gemma":[0.99608135,0.0012256913,0.00031221402,0.000053146825,0.00037315083,0.00006346563,0.000059396392,0.000047003065,0.0017845868],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9872646,0.003130419,0.001658987,0.00061451795,0.0057254783,0.0016060093],"domain_scores_gemma":[0.9913242,0.0029307406,0.0004910136,0.0005695551,0.0039445055,0.0007399756],"candidate_categories":["sts","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.011989232,0.0002902484,0.0007139134,0.0028486117,0.002406814,0.00043098876,0.0017784121,0.00028911993,0.0011353807],"category_scores_gemma":[0.00068780564,0.00023053694,0.0009613314,0.0146665145,0.001890157,0.0016628072,0.00000933739,0.002454726,0.000048830443],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003673847,0.00017312825,0.9776769,0.00013170058,0.0006234019,0.00016424192,0.010923152,0.0007357651,0.0005415057,0.0025465328,0.0025955555,0.0035206804],"study_design_scores_gemma":[0.0010123731,0.00015603991,0.9552281,0.00010515498,0.00025772655,4.994896e-8,0.004862062,0.00011196562,0.0002506844,0.0033213985,0.03446594,0.00022851916],"about_ca_topic_score_codex":0.04670748,"about_ca_topic_score_gemma":0.4225771,"teacher_disagreement_score":0.37586963,"about_ca_system_score_codex":0.00031767527,"about_ca_system_score_gemma":0.0015188969,"threshold_uncertainty_score":0.99984664},"labels":[],"label_agreement":null},{"id":"W4375824950","doi":"10.1007/978-3-031-28332-1_30","title":"Prediction of Bike Sharing Activities Using Machine Learning and Data Analytics","year":2023,"lang":"en","type":"book-chapter","venue":"Advances in intelligent systems and computing","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trent University; Sheridan College; Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Boosting (machine learning); Computer science; Gradient boosting; TRIPS architecture; Machine learning; Analytics; Artificial intelligence; Artificial neural network; Tree (set theory); Bike sharing; Random forest; Data mining; Mathematics; Transport engineering; Engineering","score_opus":0.1258060238449226,"score_gpt":0.3539436865565061,"score_spread":0.2281376627115835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4375824950","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42738107,0.2631356,0.063517295,0.000064640204,0.00959642,0.003274366,0.0010481369,0.00086759677,0.23111486],"genre_scores_gemma":[0.9745908,0.011345782,0.00018816038,0.0000020457337,0.0003539527,8.71919e-7,0.00007252406,0.00003146466,0.013414413],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984143,0.000037597285,0.0005751603,0.00049174717,0.0002793402,0.00020188131],"domain_scores_gemma":[0.9990272,0.00024754353,0.00042684542,0.00020369825,0.000043610904,0.000051106643],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001068716,0.00017794952,0.00042659647,0.0001823038,0.00028609807,0.000086145665,0.00025402373,0.00014594688,0.000007358141],"category_scores_gemma":[0.000050513358,0.00017984564,0.00003371359,0.000088830064,0.00023975784,0.0003715158,0.000252919,0.0003237453,3.8162e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022093154,0.00002051097,0.90957046,0.0017801204,0.000114194634,0.000017111355,0.0050411494,0.007022142,0.00001508699,0.03964381,0.0000027434078,0.036750585],"study_design_scores_gemma":[0.0003572675,0.00011929218,0.0023392462,0.0113166,0.0002907727,0.0000066079433,0.0136531,0.8693661,0.000026787891,0.010695066,0.090828665,0.001000463],"about_ca_topic_score_codex":0.002597114,"about_ca_topic_score_gemma":0.002453573,"teacher_disagreement_score":0.9072312,"about_ca_system_score_codex":0.00006094465,"about_ca_system_score_gemma":0.000040003404,"threshold_uncertainty_score":0.7333892},"labels":[],"label_agreement":null},{"id":"W4375836678","doi":"10.26686/wgtn.17059838","title":"A Quarter Acre Pavlova Paradise Lost? The Role of Preferences and Planning in Achieving Urban Sustainability in Wellington, New Zealand","year":2017,"lang":"en","type":"dissertation","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Urban planning; Business; Compact city; Sustainability; Population; Infill; Urban sprawl; Quarter (Canadian coin); Sustainable development; Investment (military); Transit-oriented development; Geography; Environmental planning; Economic growth; Engineering; Economics; Political science; Civil engineering; Sociology; Politics","score_opus":0.014870587557067346,"score_gpt":0.3119641032966121,"score_spread":0.2970935157395448,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4375836678","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9748472,0.0017968132,0.000001576577,0.00033085488,0.00010871721,0.0006108692,0.0000054050333,0.000015508695,0.022283077],"genre_scores_gemma":[0.9901971,0.00009422498,0.000012945853,0.0000063642046,0.000110206645,0.000012872527,0.000048646005,0.000008684614,0.009508929],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99828374,0.0001737389,0.00047789453,0.00041902962,0.00029694804,0.00034864512],"domain_scores_gemma":[0.9989734,0.00019790584,0.00032719978,0.00031619557,0.00009436367,0.00009089587],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010268907,0.00020307403,0.00040529776,0.00011042921,0.00024399496,0.00015633345,0.0005220292,0.00029539986,0.00011621086],"category_scores_gemma":[0.00023279998,0.00014376406,0.00007016802,0.00016771893,0.00021972353,0.00035964657,0.0000118362705,0.00039672627,8.1606726e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010844777,0.000045511628,0.9008185,0.00009481594,0.000007714655,0.0000023269886,0.09241134,0.0000033931976,0.000004337783,0.0002449731,0.0001150009,0.006143632],"study_design_scores_gemma":[0.00020863028,0.000022575861,0.9024125,0.00023767047,0.000021405627,2.3967004e-8,0.07591601,0.000014650213,0.00004056203,0.018728616,0.0022298284,0.00016754978],"about_ca_topic_score_codex":0.071019836,"about_ca_topic_score_gemma":0.31533203,"teacher_disagreement_score":0.24431218,"about_ca_system_score_codex":0.00006901101,"about_ca_system_score_gemma":0.0006560784,"threshold_uncertainty_score":0.9351663},"labels":[],"label_agreement":null},{"id":"W4376850138","doi":"10.1007/978-981-19-8726-7_3","title":"Travel Behavior of Residents in Transit-Oriented Development (TOD) Neighborhoods: A Study of Two Neighborhoods in Shenzhen, China","year":2023,"lang":"en","type":"book-chapter","venue":"Advances in 21st century human settlements","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"China; Transit-oriented development; Geography; Economic geography; Transit (satellite); Regional science; Transport engineering; Engineering; Archaeology; Public transport","score_opus":0.027262609328028896,"score_gpt":0.3411029330323614,"score_spread":0.3138403237043325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4376850138","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90845156,0.0018450548,0.00000939752,0.00001942768,0.0010932892,0.0039422894,0.00032179002,0.00005917038,0.08425802],"genre_scores_gemma":[0.99392253,0.0013612664,0.00011208619,0.000014875416,0.00007529384,0.00017600393,0.00033350967,0.00008892521,0.0039155367],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9935629,0.00021669011,0.002674792,0.0011124737,0.0016189358,0.0008142252],"domain_scores_gemma":[0.99811316,0.00009086435,0.00092419866,0.00059191155,0.0001249614,0.00015493295],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001272878,0.0006433596,0.0013161352,0.0010855438,0.00018786351,0.000026102078,0.0010361096,0.000322932,0.0005458719],"category_scores_gemma":[0.000031912612,0.0007063043,0.00017450188,0.00064627425,0.00037630185,0.00067610893,0.00013750144,0.0007691273,0.000007074774],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014252601,0.002602873,0.9346043,0.0002816314,0.00007868774,0.00015068355,0.04344246,0.00002796395,0.000043918073,0.009235032,0.000006255336,0.0093836915],"study_design_scores_gemma":[0.005055155,0.00023723542,0.978206,0.0012296536,0.00009888862,1.1921331e-7,0.008410276,0.0000011028735,0.00006898537,0.0051702643,0.00084876857,0.0006735556],"about_ca_topic_score_codex":0.005806681,"about_ca_topic_score_gemma":0.21691802,"teacher_disagreement_score":0.21111134,"about_ca_system_score_codex":0.0006318051,"about_ca_system_score_gemma":0.00035179954,"threshold_uncertainty_score":0.9995388},"labels":[],"label_agreement":null},{"id":"W4376866512","doi":"10.1016/j.jth.2023.101620","title":"Demonstrating the applicability of using GPS and interview data to understand changes in use of space in response to new transport infrastructure: the case of the Cambridgeshire Guided Busway, UK","year":2023,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Medical Research Council","keywords":"Psychological intervention; Intervention (counseling); Built environment; Population; Space (punctuation); Affect (linguistics); Applied psychology; Qualitative property; Psychology; Transport engineering; Geography; Computer science; Engineering; Medicine; Environmental health; Civil engineering","score_opus":0.21422882396693504,"score_gpt":0.4037070869956033,"score_spread":0.18947826302866827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4376866512","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.966088,0.00032309143,0.00072098844,0.03168821,0.000099054196,0.00090074696,0.0001669994,0.0000047347935,0.000008161383],"genre_scores_gemma":[0.998502,0.00021202238,0.00080159673,0.0004144054,0.000043515465,0.0000014860767,0.0000023949951,0.000010562417,0.000011971823],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968649,0.00064954057,0.0013855264,0.00026294639,0.00049420213,0.0003428483],"domain_scores_gemma":[0.99781793,0.0005030471,0.0007268472,0.00061002746,0.00013274458,0.00020940122],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010029222,0.00015747493,0.00061431434,0.00017589766,0.00019269009,0.0000146310285,0.0008052308,0.00008611947,0.000013797016],"category_scores_gemma":[0.00023057756,0.00009138119,0.00010938539,0.001771787,0.0004143218,0.00024953656,0.000038964066,0.000404011,3.852649e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00075863226,0.00007782291,0.9238232,0.0004253447,0.000031291293,0.00008168427,0.066987425,0.0014150596,0.000991108,0.00012977596,0.00021106804,0.005067638],"study_design_scores_gemma":[0.0004258364,0.00010411264,0.97792226,0.00062922534,0.00004927028,0.000024358089,0.0198241,0.00005988185,0.0001258883,0.00021055393,0.0005376279,0.00008685965],"about_ca_topic_score_codex":0.039094936,"about_ca_topic_score_gemma":0.4273723,"teacher_disagreement_score":0.38827738,"about_ca_system_score_codex":0.00015893142,"about_ca_system_score_gemma":0.0017366665,"threshold_uncertainty_score":0.9673038},"labels":[],"label_agreement":null},{"id":"W4376870042","doi":"10.1016/j.enpol.2023.113616","title":"Navigating the razor's edge: Public acceptance of climate policies and the case of transport pricing","year":2023,"lang":"en","type":"article","venue":"Energy Policy","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"University of British Columbia","keywords":"Dominance (genetics); Politics; Greenhouse gas; Public policy; Transformative learning; Public economics; Political science; Position (finance); Business; Economics; Public relations; Public administration; Sociology; Economic growth; Finance; Law; Ecology","score_opus":0.02467773177032827,"score_gpt":0.33661846854102395,"score_spread":0.31194073677069567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4376870042","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9807075,0.0002705529,0.000021440599,0.009880054,0.000067899564,0.000098134806,0.000021134081,0.00005276581,0.008880472],"genre_scores_gemma":[0.99868,0.0006184403,0.000016232712,0.00020144905,0.00027904438,0.0000141698765,0.0000040407917,0.000009138426,0.00017749716],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99881846,0.00015237204,0.00033687137,0.00014724986,0.00018929226,0.00035577628],"domain_scores_gemma":[0.99910176,0.00032632635,0.00019835542,0.00024243974,0.00007193044,0.000059171412],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012461942,0.00009349301,0.00021035389,0.000045513578,0.0006413587,0.000032987868,0.0003261506,0.000055655495,0.000021341282],"category_scores_gemma":[0.00016881124,0.000054517797,0.00009782361,0.0012553778,0.0013592738,0.00020009882,0.000039318118,0.00013549763,5.6486044e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035496752,0.000037264712,0.13761997,0.00008127835,0.000048043705,0.000027349077,0.09333505,0.000066421424,0.00022895173,0.7013843,0.00006250611,0.067073345],"study_design_scores_gemma":[0.0035103546,0.00008220169,0.8005849,0.00033317824,0.00021877371,0.000033457647,0.10955451,0.0010399999,0.0062769926,0.05526824,0.022270594,0.00082678354],"about_ca_topic_score_codex":0.114726916,"about_ca_topic_score_gemma":0.030398512,"teacher_disagreement_score":0.66296494,"about_ca_system_score_codex":0.000019352521,"about_ca_system_score_gemma":0.00016157284,"threshold_uncertainty_score":0.9872942},"labels":[],"label_agreement":null},{"id":"W4377047499","doi":"10.16997/ats.1392","title":"Bicycle Parking Use Patterns, Occupancy and Rotation Rates in the Streets of Barcelona","year":2023,"lang":"en","type":"article","venue":"Active Travel Studies","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Ministerio de Ciencia e Innovación","keywords":"Occupancy; Transport engineering; Cycling; Geography; Names of the days of the week; Time of day; Vehicle miles of travel; Environmental science; Engineering; Civil engineering; Forestry","score_opus":0.11913628685559902,"score_gpt":0.3911914357930153,"score_spread":0.2720551489374163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377047499","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99868006,0.00028207534,0.000007962803,0.000445436,0.00004872393,0.00020155896,0.00002043199,0.000015283644,0.00029849788],"genre_scores_gemma":[0.9991752,0.0006882656,0.000010403437,0.000030564872,0.000029800496,0.000021856644,0.000004491476,0.0000030792003,0.000036354522],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992622,0.000123611,0.00013808602,0.00014542296,0.00017813529,0.00015254063],"domain_scores_gemma":[0.99924344,0.0005609924,0.000060175786,0.00006533129,0.00005565331,0.0000144011365],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041346173,0.00006599384,0.000136337,0.00004895182,0.00023496377,0.00002240286,0.000091636706,0.00002438948,0.000005541625],"category_scores_gemma":[0.0001412186,0.000045847562,0.0000245555,0.00031548965,0.00022602928,0.00026414552,0.000016815991,0.00006329452,0.000001052401],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011526363,0.000020865116,0.9233189,0.000019351937,0.000024058892,0.0000027609715,0.070881374,4.962718e-7,0.00009046752,0.00015945287,0.000024657846,0.0054460666],"study_design_scores_gemma":[0.000119244614,0.000012170219,0.89977497,0.00002963677,0.000010532245,1.5954683e-8,0.098145954,0.000004732195,0.00045437642,0.0013668811,0.000033759305,0.00004770786],"about_ca_topic_score_codex":0.00403104,"about_ca_topic_score_gemma":0.019051965,"teacher_disagreement_score":0.02726458,"about_ca_system_score_codex":0.000018845745,"about_ca_system_score_gemma":0.00001918347,"threshold_uncertainty_score":0.9988478},"labels":[],"label_agreement":null},{"id":"W4377091286","doi":"10.1016/j.ypmed.2023.107552","title":"Urban design and cardio-metabolic risk factors","year":2023,"lang":"en","type":"article","venue":"Preventive Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; Alberta Health Services","funders":"Japan Society for the Promotion of Science; Canadian Institutes of Health Research; Alberta Health; Alberta Cancer Foundation; Alberta Health Services","keywords":"Medicine; Environmental health","score_opus":0.04150429011199031,"score_gpt":0.32303939610986837,"score_spread":0.28153510599787807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377091286","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98946446,0.0020678104,0.0025734925,0.00050095044,0.00042456985,0.0004377771,0.000010541397,0.00018806726,0.0043323],"genre_scores_gemma":[0.9945238,0.0008919107,0.00006502416,0.00002101632,0.00037881514,0.000013873509,0.0000124950175,0.000008625642,0.004084406],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99856114,0.0004064827,0.00017258515,0.0002553583,0.00032956884,0.0002748678],"domain_scores_gemma":[0.9992859,0.00029837017,0.000076866134,0.00013340687,0.000052557563,0.00015290736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018032037,0.00010634434,0.0002542529,0.00009651867,0.00037291253,0.0000143773095,0.00014709406,0.000053776617,0.00024192063],"category_scores_gemma":[0.0004157043,0.00007786905,0.000053311618,0.0005755589,0.00053212326,0.00014445234,0.000022112066,0.0001262419,0.000023471717],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007942916,0.000012703004,0.9645482,0.000007952115,0.000044692777,0.000004592906,0.022613304,0.0000013024226,0.000044974844,0.00041584455,0.0077984617,0.004500065],"study_design_scores_gemma":[0.00030071786,0.000034560817,0.95644665,0.000025408544,0.00011103326,4.032136e-8,0.0037255222,0.000023489138,0.00011030853,0.002956492,0.036169536,0.000096270036],"about_ca_topic_score_codex":0.003456208,"about_ca_topic_score_gemma":0.00023790897,"teacher_disagreement_score":0.028371075,"about_ca_system_score_codex":0.00001742925,"about_ca_system_score_gemma":0.00004669398,"threshold_uncertainty_score":0.52247757},"labels":[],"label_agreement":null},{"id":"W4377092473","doi":"10.3390/ijerph20105874","title":"Validating the Perceived Active School Travel Enablers and Barriers–Parent (PASTEB–P) Questionnaire to Support Intervention Programming and Research","year":2023,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Children’s Health Research Institute; Lawson Health Research Institute; University of Toronto; Western University","funders":"Canadian Institutes of Health Research","keywords":"Intervention (counseling); Psychology; Applied psychology; Medical education; Medicine; Psychiatry","score_opus":0.1409915660112392,"score_gpt":0.46318143665857114,"score_spread":0.32218987064733196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377092473","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9715954,0.00020993792,0.000055114047,0.027412787,0.00011920267,0.00035563856,0.000023187076,0.000006595704,0.00022215441],"genre_scores_gemma":[0.9980196,0.0012256237,0.00006208884,0.00010715436,0.00024222172,0.00001815167,0.000010320374,0.000007073796,0.0003078107],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9963447,0.00088449137,0.00036310323,0.00021811621,0.001668399,0.00052119815],"domain_scores_gemma":[0.99836534,0.00030913803,0.00011154912,0.0000719634,0.0002125892,0.0009294032],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012132695,0.00007204584,0.00012214803,0.0004104792,0.0010441537,0.0005024096,0.0003359669,0.000046744324,0.00021445099],"category_scores_gemma":[0.0012224386,0.00005490018,0.000036699144,0.00029877594,0.0007956805,0.0006533562,0.00017134285,0.00060101034,0.000006758322],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018182262,0.00022582365,0.48729616,0.00004572511,0.00008683559,0.0000351271,0.04084072,0.0000012945407,0.00046052394,0.000731644,0.0007977433,0.46929657],"study_design_scores_gemma":[0.00040496487,0.000597737,0.87918675,0.00012763237,0.0000018610536,0.000008760101,0.10895754,0.00002064311,0.000021104464,0.0011943642,0.009420532,0.00005810119],"about_ca_topic_score_codex":0.0018820196,"about_ca_topic_score_gemma":0.0010704988,"teacher_disagreement_score":0.4692385,"about_ca_system_score_codex":0.0005688343,"about_ca_system_score_gemma":0.000540382,"threshold_uncertainty_score":0.80308914},"labels":[],"label_agreement":null},{"id":"W4377131232","doi":"10.1155/2023/9911133","title":"Revolutionizing TOD Planning in a Developing Country: An Objective-Weighted Framework for Measuring Nodal TOD Index","year":2023,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Zoning; Transit-oriented development; Developing country; Sustainability; Robustness (evolution); Land-use planning; Land use; Business; Computer science; Transport engineering; Environmental planning; Geography; Engineering; Economic growth; Civil engineering; Economics","score_opus":0.041784198862079534,"score_gpt":0.34386286516623926,"score_spread":0.30207866630415975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377131232","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90646267,0.00017247658,0.092203,0.00026512428,0.00050066295,0.00026764118,0.00001139174,0.00005904846,0.000057981164],"genre_scores_gemma":[0.97279084,0.00007345367,0.026712397,0.00004362535,0.00030237652,0.00001416334,0.00003641994,0.000016967555,0.000009779758],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998257,0.000062376464,0.0006541566,0.00020430917,0.0004825931,0.0003396095],"domain_scores_gemma":[0.9988645,0.00019984227,0.0004161491,0.00007736358,0.0003463653,0.000095820724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011599658,0.00012086894,0.00027061108,0.00028354893,0.00036109157,0.000046360732,0.0001891291,0.00013978187,0.0000075445214],"category_scores_gemma":[0.00016610396,0.00012555036,0.00008816027,0.001074611,0.00005828091,0.0015155507,0.0000012657754,0.00029731455,5.2307036e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00072428276,0.000083746134,0.9054081,0.00012488544,0.00004120395,0.00006357965,0.05403473,0.024713092,0.00073758775,0.008062689,0.000008045907,0.0059980946],"study_design_scores_gemma":[0.0008629845,0.00006453819,0.9578193,0.0005567577,0.000024850608,4.4605656e-7,0.010105223,0.00014817705,0.00022661939,0.029319841,0.00069822645,0.00017304345],"about_ca_topic_score_codex":0.00017924994,"about_ca_topic_score_gemma":0.004557827,"teacher_disagreement_score":0.066328146,"about_ca_system_score_codex":0.00028617374,"about_ca_system_score_gemma":0.00039873956,"threshold_uncertainty_score":0.51197946},"labels":[],"label_agreement":null},{"id":"W4377693913","doi":"10.1353/cye.2011.0024","title":"School Travel Mode Choice and Characteristics of the Children, School and Neighborhood","year":2011,"lang":"en","type":"article","venue":"Children Youth and Environments","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mode (computer interface); School choice; Psychology; Mode choice; Travel behavior; Transport engineering; Public transport; Engineering; Political science; Computer science","score_opus":0.015267779819583441,"score_gpt":0.21989829029143,"score_spread":0.20463051047184655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377693913","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974694,0.0003365589,0.000025658212,0.00003514455,0.00004949207,0.00029981745,0.0001466152,0.000008954614,0.0016283349],"genre_scores_gemma":[0.9991324,0.00044100432,0.000037329897,0.00010370031,0.000091760696,0.0000032227952,0.0000187311,0.0000101108435,0.00016176261],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990262,0.000050390765,0.00021076114,0.00028855013,0.000195664,0.00022847793],"domain_scores_gemma":[0.9993951,0.000012016336,0.00011585221,0.0002069037,0.0000047009153,0.0002654509],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013791073,0.00014333313,0.00018335202,0.000023037435,0.00033623277,0.000032713262,0.00018629439,0.00010188863,0.00009732153],"category_scores_gemma":[0.00004726188,0.00010774068,0.00003652356,0.0000578532,0.0005734588,0.00021478612,0.0000694466,0.00015981543,0.0000033253468],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000929499,0.00006254823,0.99422747,0.00000403973,0.000026122132,8.6883986e-8,0.0038718083,2.8271458e-8,0.000055777422,0.00006951187,0.0000036510155,0.0016696815],"study_design_scores_gemma":[0.00045183886,0.000020826832,0.9985711,0.00001718485,0.00008411964,4.6357113e-7,0.0002772453,0.0000020929879,0.00009626364,0.00034171419,0.000008799483,0.00012837873],"about_ca_topic_score_codex":0.0018371365,"about_ca_topic_score_gemma":0.00006795788,"teacher_disagreement_score":0.0043436224,"about_ca_system_score_codex":0.000014201485,"about_ca_system_score_gemma":0.000024741517,"threshold_uncertainty_score":0.43935373},"labels":[],"label_agreement":null},{"id":"W4378070430","doi":"10.1155/2023/8251433","title":"Impacts of the Feeder-Related Built Environment on Taxi-Metro Integrated Use in Lanzhou, China","year":2023,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Gansu Education Department; National Natural Science Foundation of China","keywords":"Transport engineering; China; Rush hour; TRIPS architecture; Land use; Metro station; Built environment; Public transport; Mode (computer interface); Business; Geography; Engineering; Computer science; Civil engineering","score_opus":0.017567579932504712,"score_gpt":0.2849945175986115,"score_spread":0.2674269376661068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378070430","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99839044,0.000058583242,0.00006206664,0.00095963036,0.00023834173,0.000198054,0.000027031401,0.000016527778,0.000049356153],"genre_scores_gemma":[0.99951,0.00018195406,0.00014705428,0.000038818125,0.000030903877,0.0000016762687,0.000017699698,0.000009817333,0.00006207849],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984176,0.00009485809,0.0006557026,0.00012364748,0.00051524374,0.00019295383],"domain_scores_gemma":[0.99910444,0.000091722366,0.00054270023,0.00010891486,0.0000662289,0.000086021435],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005435935,0.00010348661,0.00022814621,0.00014425485,0.000090569454,0.000015531758,0.00021890072,0.00008684277,0.00007679767],"category_scores_gemma":[0.00012066504,0.00007173349,0.00015754053,0.0008434996,0.00011488874,0.0005483639,0.0000015219831,0.00030531664,0.0000029119722],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026668792,0.00013630527,0.9422349,0.000020471662,0.000024763902,0.000019402318,0.012723833,0.037311204,0.0050259116,0.00012506169,0.000033360568,0.0020780964],"study_design_scores_gemma":[0.0007944791,0.00010880466,0.9939814,0.000118157164,0.000026164722,7.757461e-8,0.001970115,0.000013988304,0.0018789882,0.0006183185,0.00041724925,0.00007225739],"about_ca_topic_score_codex":0.0011924757,"about_ca_topic_score_gemma":0.008579587,"teacher_disagreement_score":0.0517465,"about_ca_system_score_codex":0.00009446047,"about_ca_system_score_gemma":0.00010955754,"threshold_uncertainty_score":0.47876105},"labels":[],"label_agreement":null},{"id":"W4378381348","doi":"10.1515/9780228002949-005","title":"Comparing Canadian Urban Mobility","year":2020,"lang":"en","type":"book-chapter","venue":"McGill-Queen's University Press eBooks","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geography","score_opus":0.03135263988632189,"score_gpt":0.22582406388909113,"score_spread":0.19447142400276923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378381348","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00017024798,0.0000033903357,0.000010137637,0.00037517116,0.00030612762,0.00069908577,0.0006429802,0.00031029878,0.99748254],"genre_scores_gemma":[0.27879688,0.000022794882,0.00004340343,0.00016452714,0.00020169701,9.4958625e-7,0.000071369876,0.00003875907,0.7206596],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99742734,0.00011740253,0.00031837568,0.00091843726,0.00056681735,0.0006516158],"domain_scores_gemma":[0.997791,0.0000734817,0.00023651992,0.00060030824,0.0002131842,0.0010855334],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.00026622546,0.00045451833,0.0006564462,0.0001965305,0.0016294308,0.0000875963,0.0011072229,0.0006526032,0.00028949566],"category_scores_gemma":[0.000021710535,0.00057002914,0.0003638697,0.000032913078,0.00072792475,0.00024023704,0.00018707798,0.00085795537,0.00003913835],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059752274,0.00001718008,0.0028394323,0.000085280786,0.0001309338,0.00028142415,0.0010775591,0.0000031786676,6.197184e-7,0.9907061,0.0044844416,0.00031411977],"study_design_scores_gemma":[0.00029150367,0.000021459826,0.00086321513,0.00007833547,0.00018537775,8.770765e-8,0.0001977833,0.0000057303314,0.000015134838,0.0011919629,0.9965616,0.0005878368],"about_ca_topic_score_codex":0.5907637,"about_ca_topic_score_gemma":0.0328462,"teacher_disagreement_score":0.9920771,"about_ca_system_score_codex":0.0011985401,"about_ca_system_score_gemma":0.00061609765,"threshold_uncertainty_score":0.9996751},"labels":[],"label_agreement":null},{"id":"W4378416880","doi":"10.32920/23226932","title":"Evaluating Just Transit-Oriented Development Planning in the Community of Jefferson Park, Chicago","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Plan (archaeology); Smart growth; Transit-oriented development; Transit (satellite); Bureaucracy; Land use; Community design; Community development; Urban planning; Business; Public transport; Transport engineering; Environmental planning; Political science; Engineering; Geography; Politics; Civil engineering","score_opus":0.33045051545113086,"score_gpt":0.4556282637726372,"score_spread":0.12517774832150635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378416880","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9874147,0.00006793096,0.0009635857,0.00064433034,0.0003472604,0.0007381141,0.000012016276,0.00010032938,0.009711711],"genre_scores_gemma":[0.99769413,0.000006845997,0.0016981805,0.00006698028,0.000061704675,0.00007082277,0.00010824163,0.000012313379,0.00028075775],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9963188,0.0015439417,0.0006477002,0.00029302583,0.0008520817,0.00034445326],"domain_scores_gemma":[0.9984287,0.00073125324,0.00022466599,0.00045850317,0.00010308665,0.000053773445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009741611,0.00019347,0.00037090562,0.000110161345,0.0006989618,0.00006271594,0.001044208,0.0002646999,0.000105040526],"category_scores_gemma":[0.0002579674,0.00014421533,0.00011590568,0.00045777851,0.0002626007,0.00008459098,0.00013812231,0.0014233391,0.0000052238897],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003428117,0.00020772319,0.51377374,0.00030927334,0.000040137274,0.0000054055326,0.48161528,0.00057531346,0.000026028052,0.00016852308,0.00008684443,0.0031574932],"study_design_scores_gemma":[0.00025833564,0.000020159383,0.92196876,0.0004236494,0.00003941988,4.0351853e-8,0.075447045,0.00020009668,0.0001645362,0.0010203383,0.00024243488,0.00021521283],"about_ca_topic_score_codex":0.026871173,"about_ca_topic_score_gemma":0.05179867,"teacher_disagreement_score":0.40819502,"about_ca_system_score_codex":0.000114869305,"about_ca_system_score_gemma":0.0005957122,"threshold_uncertainty_score":0.97960895},"labels":[],"label_agreement":null},{"id":"W4378417091","doi":"10.32920/23226932.v1","title":"Evaluating Just Transit-Oriented Development Planning in the Community of Jefferson Park, Chicago","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Plan (archaeology); Smart growth; Transit-oriented development; Transit (satellite); Bureaucracy; Community development; Community design; Land use; Urban planning; Forester; Transportation planning; Public transport; Business; Transport engineering; Political science; Environmental planning; Geography; Engineering; Politics; Forestry; Civil engineering","score_opus":0.33045051545113086,"score_gpt":0.4556282637726372,"score_spread":0.12517774832150635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378417091","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9874147,0.00006793096,0.0009635857,0.00064433034,0.0003472604,0.0007381141,0.000012016276,0.00010032938,0.009711711],"genre_scores_gemma":[0.99769413,0.000006845997,0.0016981805,0.00006698028,0.000061704675,0.00007082277,0.00010824163,0.000012313379,0.00028075775],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9963188,0.0015439417,0.0006477002,0.00029302583,0.0008520817,0.00034445326],"domain_scores_gemma":[0.9984287,0.00073125324,0.00022466599,0.00045850317,0.00010308665,0.000053773445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009741611,0.00019347,0.00037090562,0.000110161345,0.0006989618,0.00006271594,0.001044208,0.0002646999,0.000105040526],"category_scores_gemma":[0.0002579674,0.00014421533,0.00011590568,0.00045777851,0.0002626007,0.00008459098,0.00013812231,0.0014233391,0.0000052238897],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003428117,0.00020772319,0.51377374,0.00030927334,0.000040137274,0.0000054055326,0.48161528,0.00057531346,0.000026028052,0.00016852308,0.00008684443,0.0031574932],"study_design_scores_gemma":[0.00025833564,0.000020159383,0.92196876,0.0004236494,0.00003941988,4.0351853e-8,0.075447045,0.00020009668,0.0001645362,0.0010203383,0.00024243488,0.00021521283],"about_ca_topic_score_codex":0.026871173,"about_ca_topic_score_gemma":0.05179867,"teacher_disagreement_score":0.40819502,"about_ca_system_score_codex":0.000114869305,"about_ca_system_score_gemma":0.0005957122,"threshold_uncertainty_score":0.97960895},"labels":[],"label_agreement":null},{"id":"W4378450184","doi":"10.1016/j.jtrangeo.2023.103608","title":"Understanding patients heterogeneity in healthcare travel and hospital choice - A latent class analysis with covariates","year":2023,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Downtown; Health care; Latent class model; Public transport; Public hospital; Medicine; Business; Medical emergency; Psychology; Family medicine; Nursing; Transport engineering; Computer science; Political science; Engineering","score_opus":0.040459519503882935,"score_gpt":0.2887820642962267,"score_spread":0.24832254479234378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378450184","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975909,0.00012945273,0.00044643338,0.0014081007,0.00012786352,0.00018372978,0.000039849707,0.000021239939,0.000052434327],"genre_scores_gemma":[0.99949074,0.00027039472,0.00010337147,0.000051829134,0.0000438231,0.0000026655484,0.000024487787,0.000009008066,0.0000036554277],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981864,0.00007951922,0.00053118006,0.00022679855,0.00061143306,0.00036466835],"domain_scores_gemma":[0.9991496,0.0000685236,0.00029611556,0.00009981612,0.00015547778,0.00023042398],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083408336,0.00014220276,0.00042598156,0.00084753777,0.0002378612,0.00004360739,0.00018667696,0.00010341637,0.0000124821045],"category_scores_gemma":[0.000009292576,0.000113901275,0.000263049,0.0028628798,0.00022883153,0.00040007816,0.000003999692,0.00025546568,2.67375e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000081299964,0.00015794631,0.99659485,0.00003140626,0.00033418657,0.00004430284,0.0024750747,0.000097465796,0.000002121413,0.00010100519,0.000005795933,0.00007453974],"study_design_scores_gemma":[0.0008678806,0.00023805129,0.9969734,0.000045961162,0.00033624907,1.6630497e-7,0.00080436043,0.000013986983,0.0000052012424,0.0005134691,0.00005678119,0.00014448023],"about_ca_topic_score_codex":0.004393043,"about_ca_topic_score_gemma":0.040243078,"teacher_disagreement_score":0.035850033,"about_ca_system_score_codex":0.00007646338,"about_ca_system_score_gemma":0.00009560085,"threshold_uncertainty_score":0.97727},"labels":[],"label_agreement":null},{"id":"W4378605400","doi":"10.1353/cye.2005.0026","title":"Healthy Travel, Healthy Environments: Integrating Youth and Child Perspectives into Municipal Transportation Planning","year":2005,"lang":"en","type":"article","venue":"Children Youth and Environments","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"General partnership; Transportation planning; Sociology; Strategic planning; Public relations; Transport engineering; Political science; Engineering; Business; Marketing","score_opus":0.017185117446425043,"score_gpt":0.2711621033940551,"score_spread":0.2539769859476301,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378605400","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9941174,0.0035977184,0.00028700798,0.0006055525,0.000054727763,0.0004092647,0.000111331465,0.000033096927,0.0007839183],"genre_scores_gemma":[0.99731094,0.0012890826,0.0003722453,0.0003858586,0.0002695297,0.000009992698,0.00026743324,0.000023421879,0.00007148538],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99803525,0.000110598856,0.0003953046,0.00060854777,0.00035934863,0.00049094245],"domain_scores_gemma":[0.99925596,0.000023545375,0.00015877024,0.00018718172,0.0000029515497,0.00037161805],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00038452022,0.00026387317,0.00028086727,0.00007588261,0.0011825856,0.000068402456,0.00017504876,0.00015734979,0.000056825524],"category_scores_gemma":[0.000014215916,0.00025509926,0.00006187618,0.00009130573,0.00059783703,0.0005376381,0.000017864179,0.0003375647,0.000006727767],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000078131176,0.00013697411,0.581758,0.000007639668,0.000024569157,5.634541e-7,0.41449317,0.000020763113,0.000012820937,0.00008850134,0.0000015057439,0.0033773433],"study_design_scores_gemma":[0.0009083318,0.00012008342,0.87750727,0.000045638924,0.000065815344,3.7162383e-7,0.12072385,0.00001846118,0.000017993167,0.000054401353,0.0002850293,0.0002527314],"about_ca_topic_score_codex":0.0030321043,"about_ca_topic_score_gemma":0.0007133776,"teacher_disagreement_score":0.29574928,"about_ca_system_score_codex":0.00016093285,"about_ca_system_score_gemma":0.000023811604,"threshold_uncertainty_score":0.9999901},"labels":[],"label_agreement":null},{"id":"W4378610848","doi":"10.1093/sleep/zsad077.0009","title":"0009 Circadian Athletic Performance Variations When Travelling in the Canadian Football League","year":2023,"lang":"en","type":"article","venue":"SLEEP","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec en Outaouais","funders":"National Institutes of Health","keywords":"League; Football; Evening; Demography; Circadian rhythm; Disadvantage; Counterattack; Statistics; Psychology; Geography; Mathematics; Computer science","score_opus":0.0355943501208356,"score_gpt":0.2732448131891277,"score_spread":0.23765046306829207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378610848","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94021493,0.00004981753,0.000041068106,0.0069471854,0.0002795332,0.00025778124,0.000008697884,0.000054563647,0.0521464],"genre_scores_gemma":[0.99857384,0.000019474403,0.00003552006,0.0003792458,0.0001730692,0.000020455811,0.00001952272,0.000005630165,0.0007732307],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99897605,0.0000813906,0.00014766533,0.00015968447,0.00023349798,0.00040173408],"domain_scores_gemma":[0.9996143,0.000056244393,0.000025707986,0.0001603665,0.000027380049,0.000115983086],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010345825,0.00006234265,0.000073002775,0.00012029693,0.0007941671,0.00010057369,0.0003864352,0.00007601235,0.00025368898],"category_scores_gemma":[0.000040683422,0.000053432035,0.000039157978,0.00064356916,0.00010142457,0.00016411544,0.0000043680757,0.00016882968,0.00018832026],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000020503292,0.000023025963,0.8714853,0.000011567364,0.0000065825598,0.000016672135,0.10694229,0.00018960143,0.00000568697,0.009926674,0.0005509645,0.010839566],"study_design_scores_gemma":[0.0000937126,0.0000075613602,0.9695083,0.000010075581,0.000009313476,7.910444e-8,0.0018374696,0.0012792986,0.0000036055492,0.0039641387,0.02318893,0.00009753582],"about_ca_topic_score_codex":0.44598362,"about_ca_topic_score_gemma":0.96811485,"teacher_disagreement_score":0.5221312,"about_ca_system_score_codex":0.00013563599,"about_ca_system_score_gemma":0.00029802084,"threshold_uncertainty_score":0.61081713},"labels":[],"label_agreement":null},{"id":"W4378650014","doi":"10.32920/23257217.v1","title":"Towards Inclusion: The Budd Car Train from Sudbury to White River","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University; Science North; University of Toronto","funders":"","keywords":"Inclusion (mineral); Vulnerability (computing); White (mutation); Institution; Poverty; Service (business); Isolation (microbiology); Geography; Sociology; Gender studies; Political science; Business; Computer security; Law; Social science; Marketing; Computer science","score_opus":0.05280909814136106,"score_gpt":0.33057615256214545,"score_spread":0.2777670544207844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378650014","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8654704,0.00024883208,0.0021364063,0.045801353,0.0033518944,0.0011512007,0.00046223507,0.0006173313,0.080760315],"genre_scores_gemma":[0.9708698,0.00005811338,0.00083316345,0.00139645,0.0014496808,0.0000651105,0.000114001516,0.000026575648,0.02518715],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99734473,0.00023168031,0.00036196152,0.0007317701,0.00091143744,0.00041844443],"domain_scores_gemma":[0.9986677,0.00014281763,0.00009594478,0.0007324915,0.00012838971,0.00023265491],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014657407,0.0002480212,0.00034906468,0.00006542431,0.0011523066,0.0001833337,0.001744425,0.0004227302,0.0035011538],"category_scores_gemma":[0.00012023814,0.00016720241,0.00027458605,0.0003799928,0.00039474896,0.000104727114,0.0023398632,0.00059597264,0.00022649263],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006859409,0.00015669908,0.25293013,0.00007025256,0.0002113508,0.000081316575,0.62255186,0.0002519553,0.000058055317,0.0032348884,0.08715218,0.033232715],"study_design_scores_gemma":[0.00016094124,0.000013624993,0.7402602,0.00009542026,0.000096048105,2.4066905e-8,0.008135679,0.00004484877,0.00006415166,0.12286197,0.1276873,0.0005797849],"about_ca_topic_score_codex":0.21375495,"about_ca_topic_score_gemma":0.15268452,"teacher_disagreement_score":0.6144162,"about_ca_system_score_codex":0.00016959259,"about_ca_system_score_gemma":0.000619807,"threshold_uncertainty_score":0.99740976},"labels":[],"label_agreement":null},{"id":"W4378650033","doi":"10.32920/23257217","title":"Towards Inclusion: The Budd Car Train from Sudbury to White River","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University; Science North; University of Toronto","funders":"","keywords":"Inclusion (mineral); Institution; Vulnerability (computing); White (mutation); Poverty; Service (business); Isolation (microbiology); Sociology; Geography; Gender studies; Political science; Business; Law; Computer security; Social science; Marketing; Computer science","score_opus":0.05280909814136106,"score_gpt":0.33057615256214545,"score_spread":0.2777670544207844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378650033","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8654704,0.00024883208,0.0021364063,0.045801353,0.0033518944,0.0011512007,0.00046223507,0.0006173313,0.080760315],"genre_scores_gemma":[0.9708698,0.00005811338,0.00083316345,0.00139645,0.0014496808,0.0000651105,0.000114001516,0.000026575648,0.02518715],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99734473,0.00023168031,0.00036196152,0.0007317701,0.00091143744,0.00041844443],"domain_scores_gemma":[0.9986677,0.00014281763,0.00009594478,0.0007324915,0.00012838971,0.00023265491],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014657407,0.0002480212,0.00034906468,0.00006542431,0.0011523066,0.0001833337,0.001744425,0.0004227302,0.0035011538],"category_scores_gemma":[0.00012023814,0.00016720241,0.00027458605,0.0003799928,0.00039474896,0.000104727114,0.0023398632,0.00059597264,0.00022649263],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006859409,0.00015669908,0.25293013,0.00007025256,0.0002113508,0.000081316575,0.62255186,0.0002519553,0.000058055317,0.0032348884,0.08715218,0.033232715],"study_design_scores_gemma":[0.00016094124,0.000013624993,0.7402602,0.00009542026,0.000096048105,2.4066905e-8,0.008135679,0.00004484877,0.00006415166,0.12286197,0.1276873,0.0005797849],"about_ca_topic_score_codex":0.21375495,"about_ca_topic_score_gemma":0.15268452,"teacher_disagreement_score":0.6144162,"about_ca_system_score_codex":0.00016959259,"about_ca_system_score_gemma":0.000619807,"threshold_uncertainty_score":0.99740976},"labels":[],"label_agreement":null},{"id":"W4378902498","doi":"10.1371/journal.pone.0285397","title":"An ecological analysis of walkability and housing affordability in Canada: Moderation by city size and neighbourhood property type composition","year":2023,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Alberta Health Services; McGill University Health Centre; University of Calgary","funders":"Cumming School of Medicine, University of Calgary; Canadian Institutes of Health Research; Killam Trusts","keywords":"Walkability; Neighbourhood (mathematics); Geography; Socioeconomic status; Built environment; Census; Multilevel model; Moderation; Metropolitan area; Demography; Level design; Environmental health; Census tract; Medicine; Psychology; Ecology; Population; Sociology; Statistics; Social psychology; Mathematics","score_opus":0.04797365001530102,"score_gpt":0.2654927558107999,"score_spread":0.21751910579549888,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378902498","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99905366,0.000018826466,0.000011986756,0.0004490737,0.000009089904,0.0002543604,0.00004282244,0.000028766208,0.00013144471],"genre_scores_gemma":[0.99973595,0.000021234537,0.00014580494,0.000029254594,0.000009744088,0.000005661806,0.000042394106,0.0000023616728,0.00000757774],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998921,0.00019165578,0.00021968716,0.00025888917,0.00025392478,0.0001548486],"domain_scores_gemma":[0.9994981,0.00015547729,0.00005647183,0.00011720223,0.000091579415,0.00008112428],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006803525,0.00006369358,0.00026647252,0.000038898397,0.00017537815,0.000028332102,0.00006346884,0.000060961345,0.00009468191],"category_scores_gemma":[0.00015045343,0.00004972814,0.000017308825,0.00071415515,0.00015978947,0.00022498002,0.000014769392,0.00008062928,9.433528e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035463105,0.00063916814,0.9929717,0.000029720233,0.000048075774,5.8198134e-7,0.0007484973,0.000028834387,0.00519078,0.000014738687,0.0000021058074,0.00029029427],"study_design_scores_gemma":[0.000104944884,0.00003674923,0.9850054,0.0000066529205,0.00013792736,4.1603254e-9,0.0003028964,0.013132453,0.00082051137,0.00038502263,4.8724706e-7,0.00006694763],"about_ca_topic_score_codex":0.74648136,"about_ca_topic_score_gemma":0.97499484,"teacher_disagreement_score":0.2285135,"about_ca_system_score_codex":0.00021024079,"about_ca_system_score_gemma":0.0002543948,"threshold_uncertainty_score":0.25520685},"labels":[],"label_agreement":null},{"id":"W4378977854","doi":"10.1021/acs.est.2c06993","title":"Personal Mobility Choices and Disparities in Carbon Emissions","year":2023,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Greenhouse gas; Equity (law); Environmental justice; Air pollution; Natural resource economics; Land use; Environmental science; Population; Business; Geography; Environmental engineering; Economics; Environmental health; Engineering; Political science","score_opus":0.0114299589648063,"score_gpt":0.27051815954549335,"score_spread":0.25908820058068704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378977854","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948311,0.00016725695,0.0000010131404,0.0019822794,0.00007853774,0.0001522065,0.0000065331424,0.00015271618,0.0026283637],"genre_scores_gemma":[0.99924064,0.00013599472,0.000025462145,0.000024763767,0.000017291766,0.000025021558,0.0000017979,0.0000032133341,0.0005258038],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99864507,0.000023435136,0.00013176404,0.00041669398,0.00032896627,0.0004540846],"domain_scores_gemma":[0.9996925,0.000034751454,0.00003103452,0.00014027295,0.0000026733007,0.000098792785],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.000723194,0.00008003851,0.00010774873,0.00031331493,0.00050792214,0.000031723524,0.00036218922,0.00011133615,0.00010525403],"category_scores_gemma":[0.00007541628,0.00007485497,0.000017691218,0.0013727365,0.006277667,0.00027412662,0.0001501839,0.00017189668,0.000010417736],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000017923466,0.00004501913,0.9893819,0.0000021217202,5.6780976e-7,0.0000044081135,0.0012723473,9.567204e-7,0.006131977,0.00047342034,0.0000032858559,0.0026822034],"study_design_scores_gemma":[0.00009042651,0.000017519813,0.9877195,0.0000064236997,0.0000020395644,3.3745448e-7,0.0057246755,0.00014379555,0.0010898862,0.0035524522,0.0015560332,0.00009692028],"about_ca_topic_score_codex":0.0018573649,"about_ca_topic_score_gemma":0.0020729778,"teacher_disagreement_score":0.005769745,"about_ca_system_score_codex":0.00018513972,"about_ca_system_score_gemma":0.00006518588,"threshold_uncertainty_score":0.9964267},"labels":[],"label_agreement":null},{"id":"W4379016207","doi":"10.32920/23277116.v1","title":"A Comparative Analysis of Travel Speeds Between Suburbs and the Downtown Core in the Greater Toronto Area","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University","funders":"University of Toronto","keywords":"Downtown; Traffic congestion; Transport engineering; Core (optical fiber); Proxy (statistics); Environmental science; Geography; Computer science; Engineering; Telecommunications","score_opus":0.16968334795748857,"score_gpt":0.3808188199895796,"score_spread":0.21113547203209104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379016207","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9461951,0.0001907558,0.0000941523,0.00097191613,0.000060675364,0.0006826635,0.0001414903,0.000025422729,0.0516378],"genre_scores_gemma":[0.9976153,0.00007321029,0.000022030497,0.000045988883,0.00008362641,0.000036321242,0.00009469152,0.0000039523775,0.0020249235],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981552,0.0002754513,0.00046565488,0.00038762376,0.00048835063,0.00022774705],"domain_scores_gemma":[0.998609,0.0006207451,0.0001960623,0.00043770886,0.00008867931,0.00004779808],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025229412,0.0001856811,0.0008700202,0.00009928674,0.00017402433,0.00010164667,0.0007786594,0.00019317231,0.0008190498],"category_scores_gemma":[0.000028109962,0.00008926155,0.00030399094,0.00065990485,0.0010540803,0.000089045265,0.00011411945,0.00029207344,0.0000016434177],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003438796,0.00002009968,0.86512387,0.000014251732,0.0005532623,0.0000010758392,0.13201167,0.000013069461,7.860729e-7,0.0019974408,0.00013913884,0.00009093108],"study_design_scores_gemma":[0.00024203822,0.000007044754,0.9660628,0.000017348937,0.0010907255,9.3336014e-9,0.027645819,0.00016376826,0.0000070127508,0.0046047983,0.000043063363,0.00011555997],"about_ca_topic_score_codex":0.32115388,"about_ca_topic_score_gemma":0.7014033,"teacher_disagreement_score":0.38024944,"about_ca_system_score_codex":0.000074656615,"about_ca_system_score_gemma":0.00010179075,"threshold_uncertainty_score":0.89680207},"labels":[],"label_agreement":null},{"id":"W4379016266","doi":"10.32920/23277116","title":"A Comparative Analysis of Travel Speeds Between Suburbs and the Downtown Core in the Greater Toronto Area","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University","funders":"University of Toronto","keywords":"Downtown; Traffic congestion; Transport engineering; Core (optical fiber); Proxy (statistics); Vehicle miles of travel; Geography; Computer science; Engineering; Telecommunications; Archaeology","score_opus":0.16968334795748857,"score_gpt":0.3808188199895796,"score_spread":0.21113547203209104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379016266","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9461951,0.0001907558,0.0000941523,0.00097191613,0.000060675364,0.0006826635,0.0001414903,0.000025422729,0.0516378],"genre_scores_gemma":[0.9976153,0.00007321029,0.000022030497,0.000045988883,0.00008362641,0.000036321242,0.00009469152,0.0000039523775,0.0020249235],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981552,0.0002754513,0.00046565488,0.00038762376,0.00048835063,0.00022774705],"domain_scores_gemma":[0.998609,0.0006207451,0.0001960623,0.00043770886,0.00008867931,0.00004779808],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025229412,0.0001856811,0.0008700202,0.00009928674,0.00017402433,0.00010164667,0.0007786594,0.00019317231,0.0008190498],"category_scores_gemma":[0.000028109962,0.00008926155,0.00030399094,0.00065990485,0.0010540803,0.000089045265,0.00011411945,0.00029207344,0.0000016434177],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003438796,0.00002009968,0.86512387,0.000014251732,0.0005532623,0.0000010758392,0.13201167,0.000013069461,7.860729e-7,0.0019974408,0.00013913884,0.00009093108],"study_design_scores_gemma":[0.00024203822,0.000007044754,0.9660628,0.000017348937,0.0010907255,9.3336014e-9,0.027645819,0.00016376826,0.0000070127508,0.0046047983,0.000043063363,0.00011555997],"about_ca_topic_score_codex":0.32115388,"about_ca_topic_score_gemma":0.7014033,"teacher_disagreement_score":0.38024944,"about_ca_system_score_codex":0.000074656615,"about_ca_system_score_gemma":0.00010179075,"threshold_uncertainty_score":0.89680207},"labels":[],"label_agreement":null},{"id":"W4379051652","doi":"10.3390/su15118921","title":"University Bus Services: Responding to Students’ Travel Demands?","year":2023,"lang":"en","type":"article","venue":"Sustainability","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Transport Canada","funders":"","keywords":"Taxis; Public transport; Business; Transport engineering; Service (business); Equity (law); Service quality; Feeling; Engineering; Marketing; Psychology; Political science","score_opus":0.014146211754940104,"score_gpt":0.32544214645492414,"score_spread":0.311295934699984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379051652","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9903152,0.00000892752,0.00013875666,0.0027650374,0.00016753458,0.00065526186,0.000015759093,0.0003182826,0.0056152525],"genre_scores_gemma":[0.98288995,0.000005658272,0.000033019285,0.000091506896,0.000087387205,0.0000051714783,0.000009330862,0.000008105251,0.016869878],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977884,0.0003825272,0.0001879762,0.0004813011,0.0005605562,0.00059923955],"domain_scores_gemma":[0.9986351,0.00018234209,0.000046155365,0.00038123273,0.0004641765,0.0002910051],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030229222,0.000119844866,0.00018800375,0.00035189162,0.0010609283,0.00009606037,0.0007926125,0.00011190409,0.00016472118],"category_scores_gemma":[0.00040554116,0.00012852412,0.00010145638,0.0035364367,0.00022735509,0.00037299213,0.00014576009,0.00016538339,0.00007075191],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000117718155,0.00008084464,0.9633341,0.000116340154,0.000010052019,0.000050460047,0.027722176,0.000015523376,0.000012337139,0.007413795,0.00017069379,0.0009559773],"study_design_scores_gemma":[0.00021013065,0.000023016022,0.8765654,0.00000966614,0.000014245076,2.7808555e-8,0.08287214,0.0000064920036,0.000018868686,0.009633626,0.030500168,0.0001462184],"about_ca_topic_score_codex":0.0056097303,"about_ca_topic_score_gemma":0.0074236337,"teacher_disagreement_score":0.08676868,"about_ca_system_score_codex":0.00108067,"about_ca_system_score_gemma":0.00049003906,"threshold_uncertainty_score":0.84802717},"labels":[],"label_agreement":null},{"id":"W4379054727","doi":"10.32866/001c.77506","title":"Exploring the X-Minute City by Travel Purpose in Montréal, Canada","year":2023,"lang":"en","type":"article","venue":"Findings","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"TRIPS architecture; Destinations; Context (archaeology); Public transport; Work (physics); Transport engineering; Business; Sustainable transport; Set (abstract data type); Travel behavior; Marketing; Geography; Tourism; Computer science; Sustainability; Engineering","score_opus":0.08041648878885271,"score_gpt":0.2645942263180134,"score_spread":0.18417773752916067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379054727","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.992768,0.00007178015,0.0000036527304,0.0037773266,0.0003314123,0.00015425289,0.000027855496,0.00004577299,0.0028199533],"genre_scores_gemma":[0.9957508,0.000078435216,0.0000037177763,0.00013094554,0.00007002137,0.00003893817,0.000010664583,0.0000057978,0.0039107082],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989845,0.000034481116,0.00014624276,0.00017479667,0.00031593165,0.00034401685],"domain_scores_gemma":[0.99967825,0.00009657011,0.000024152518,0.00011616007,0.000015187468,0.00006965554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005607556,0.00006980909,0.000098978766,0.000034250017,0.0003962381,0.00004866217,0.0003005451,0.000029476536,0.00008581166],"category_scores_gemma":[0.00007155388,0.0000552017,0.00003082619,0.00069317385,0.00008134544,0.00026143494,0.000019110601,0.00014652668,0.000013335372],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008973008,0.000021794198,0.89449775,0.000009333403,0.0000064570195,0.000034793215,0.02120649,0.00000333633,0.00023375914,0.00041304826,0.08007973,0.0034845185],"study_design_scores_gemma":[0.000103532315,0.0000033950578,0.9007193,0.000010632631,0.0000034326536,3.6084263e-8,0.004629128,0.0000107716705,0.00039874806,0.00028361677,0.09374072,0.00009668244],"about_ca_topic_score_codex":0.9462826,"about_ca_topic_score_gemma":0.98346317,"teacher_disagreement_score":0.037180502,"about_ca_system_score_codex":0.00016056167,"about_ca_system_score_gemma":0.00021769709,"threshold_uncertainty_score":0.3047583},"labels":[],"label_agreement":null},{"id":"W4379165195","doi":"10.1007/978-3-031-31746-0_8","title":"Disclosing the Impact of Micro-level Environmental Characteristics on Dockless Bikeshare Trip Volume: A Case Study of Ithaca","year":2023,"lang":"en","type":"book-chapter","venue":"˜The œurban book series","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Cycling; Built environment; Macro; Macro level; Micro level; Environmental impact assessment; Volume (thermodynamics); Geography; Computer science; Transport engineering; Engineering; Civil engineering; Forestry; Political science; Economic impact analysis","score_opus":0.047312965175503985,"score_gpt":0.28929021313943204,"score_spread":0.24197724796392805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379165195","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9790151,0.00046503416,0.0000016267823,0.00009323554,0.00032736667,0.001676125,0.0042901915,0.000057414272,0.014073879],"genre_scores_gemma":[0.7613057,0.00012105617,0.0000022187146,0.000018689178,0.0002648525,0.00002243901,0.00008909747,0.000060212096,0.23811576],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99764615,0.00014329528,0.00073713274,0.0004534446,0.00065905246,0.00036094707],"domain_scores_gemma":[0.9981107,0.0001893181,0.00077325164,0.0007698068,0.0000593072,0.00009758198],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00051310594,0.0004487836,0.0006724762,0.0000974142,0.00082961295,0.00009451849,0.0007184449,0.00024099763,0.00063803355],"category_scores_gemma":[0.000017613394,0.00027801323,0.00042930548,0.00008524817,0.0013749625,0.00023283188,0.00012955074,0.00048118673,0.000026297386],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019332394,0.0021846488,0.6805515,0.0005207817,0.002648038,0.002332122,0.2849643,0.000016607846,0.0007232783,0.0025376326,0.01307708,0.008510759],"study_design_scores_gemma":[0.0026152155,0.0041733254,0.80443925,0.0013238922,0.0020498706,0.00010432598,0.098611124,0.000015657604,0.00026235395,0.0025576607,0.081025876,0.0028214478],"about_ca_topic_score_codex":0.0040560924,"about_ca_topic_score_gemma":0.007229767,"teacher_disagreement_score":0.22404188,"about_ca_system_score_codex":0.00018951678,"about_ca_system_score_gemma":0.00023050484,"threshold_uncertainty_score":0.9999672},"labels":[],"label_agreement":null},{"id":"W4379229979","doi":"10.1111/jiec.13402","title":"The Bahamas at risk: Material stocks, sea‐level rise, and the implications for development","year":2023,"lang":"en","type":"article","venue":"Journal of Industrial Ecology","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Energy Council of Canada; University of Waterloo","keywords":"Sustainability; Climate change; Business; Stock (firearms); Environmental resource management; Per capita; Small Island Developing States; Industrial ecology; Threatened species; Resilience (materials science); Disaster risk reduction; Sustainable development; Natural resource economics; Environmental planning; Environmental science; Geography; Economics; Oceanography","score_opus":0.10217842037831243,"score_gpt":0.34219500344353493,"score_spread":0.2400165830652225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379229979","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9751505,0.000052579566,0.000038794416,0.022263395,0.0017093077,0.00048297603,0.00007035172,0.0000115331795,0.00022055765],"genre_scores_gemma":[0.99729466,0.00015989087,0.00009192501,0.00005116044,0.0013976673,0.00004431633,0.0000048212164,0.0000060616826,0.0009495114],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99869716,0.0003110363,0.0004841094,0.000099268545,0.00014063182,0.00026781068],"domain_scores_gemma":[0.99768734,0.0014820973,0.00048223446,0.000093398885,0.00016990666,0.00008499856],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.004397243,0.00007016597,0.00019741048,0.00004422213,0.0019852764,0.00007987647,0.00034454942,0.00016881106,0.00007126093],"category_scores_gemma":[0.0010678391,0.000037623566,0.00008275822,0.00018934884,0.0005292817,0.000090047164,0.000050400376,0.00021646729,0.0000047768576],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018827792,0.00005038142,0.8692374,0.0000035500839,0.00018817224,0.0000024409198,0.0041778903,0.000015589869,0.000040313895,0.0044763545,0.0797041,0.04022099],"study_design_scores_gemma":[0.0025732913,0.000065121116,0.6666179,0.000004552917,0.000062796506,0.0000020537764,0.0007267168,0.000004408398,0.00008114113,0.0066805137,0.3231137,0.00006782669],"about_ca_topic_score_codex":0.00020434278,"about_ca_topic_score_gemma":0.009172892,"teacher_disagreement_score":0.24340962,"about_ca_system_score_codex":0.00014014068,"about_ca_system_score_gemma":0.000695854,"threshold_uncertainty_score":0.999314},"labels":[],"label_agreement":null},{"id":"W4379280077","doi":"10.1007/978-3-031-34612-5_5","title":"A New Approach for Accessibility Assessment of Sidewalks for Wheelchair Users Considering the Sidewalk Traffic","year":2023,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Crowds; Wheelchair; Computer science; Mobility model; Transport engineering; Population; Personal mobility; Affect (linguistics); Human–computer interaction; Computer security; World Wide Web; Psychology; Engineering; Telecommunications","score_opus":0.06156738661054496,"score_gpt":0.33964101914783573,"score_spread":0.2780736325372908,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379280077","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0024525668,0.00011197234,0.99004006,0.0010119361,0.0011354971,0.0026400315,0.000050327868,0.00012894043,0.0024286723],"genre_scores_gemma":[0.7407866,0.000018619385,0.2564615,0.00029135632,0.00077785953,0.000101073594,0.000023849178,0.000050790957,0.0014883705],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99619853,0.000057252477,0.00076128973,0.001315594,0.0009628922,0.0007044307],"domain_scores_gemma":[0.995604,0.0025558525,0.00046913794,0.0008379207,0.0003549637,0.00017813516],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0038442998,0.00038581435,0.0006808282,0.0002731671,0.00074854604,0.00032106825,0.0020486207,0.0003651435,0.000037571772],"category_scores_gemma":[0.0004125156,0.00029437887,0.00037170382,0.00053339195,0.0017429772,0.00036461288,0.00020233855,0.0004820195,9.250893e-7],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012728048,0.00019255928,0.0112654865,0.0011960274,0.00014898008,0.000008806071,0.019306349,0.12768677,0.00013825565,0.027339078,0.00049138186,0.81209904],"study_design_scores_gemma":[0.00228908,0.00040402828,0.01352258,0.0008443814,0.0002736245,0.0000022091047,0.0001191511,0.39246002,0.00069417054,0.5818775,0.0053699003,0.0021433365],"about_ca_topic_score_codex":0.00044300238,"about_ca_topic_score_gemma":0.0060792724,"teacher_disagreement_score":0.80995566,"about_ca_system_score_codex":0.0003074433,"about_ca_system_score_gemma":0.0028912316,"threshold_uncertainty_score":0.9999508},"labels":[],"label_agreement":null},{"id":"W4379382866","doi":"10.32920/23296064.v1","title":"Spatiotemporal Segmentation of Home-based Trips by the Demand Responsive Transportation Accessible Vehicles: a Case Study of Toronto","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University; University of Toronto; Statistics Canada","funders":"","keywords":"TRIPS architecture; Context (archaeology); Market segmentation; Downtown; Business; Geography; Service (business); Transport engineering; Order (exchange); Scale (ratio); Regional science; Advertising; Marketing; Cartography; Engineering; Finance","score_opus":0.06125269058520671,"score_gpt":0.36431910656043665,"score_spread":0.30306641597522993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379382866","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99491376,0.00029025087,0.0015227271,0.00027831417,0.0002742124,0.0021758238,0.00028480944,0.000081357175,0.00017872211],"genre_scores_gemma":[0.99892294,0.000038414088,0.00016850825,0.000031646272,0.000047787,0.00014773967,0.00021949426,0.000019168685,0.00040431754],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99706554,0.00059663615,0.00090251357,0.00045696952,0.00077721797,0.00020113478],"domain_scores_gemma":[0.9979857,0.00038512336,0.0007649203,0.00042814706,0.00036291967,0.00007316468],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017019899,0.00020747435,0.00043659986,0.00006429689,0.00029321565,0.000064790926,0.00045080658,0.00023023749,0.00024424336],"category_scores_gemma":[0.000049776372,0.00015838954,0.0001628838,0.0002773549,0.0002480342,0.00032952047,0.000022081602,0.00020496681,6.8477624e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006367576,0.0013248654,0.8562897,0.00044894725,0.00018807102,0.00009530505,0.1360381,0.00064517144,0.00039375873,0.00004103866,0.0015886066,0.0023096662],"study_design_scores_gemma":[0.0036514695,0.00058377575,0.55303454,0.00020759768,0.00071990583,3.606227e-7,0.43264422,0.00043599465,0.0067394925,0.0012569604,0.00011592565,0.0006097565],"about_ca_topic_score_codex":0.5775798,"about_ca_topic_score_gemma":0.7483727,"teacher_disagreement_score":0.30325517,"about_ca_system_score_codex":0.00015339613,"about_ca_system_score_gemma":0.0005949682,"threshold_uncertainty_score":0.64589375},"labels":[],"label_agreement":null},{"id":"W4379383006","doi":"10.32920/23296064","title":"Spatiotemporal Segmentation of Home-based Trips by the Demand Responsive Transportation Accessible Vehicles: a Case Study of Toronto","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University; University of Toronto; Statistics Canada","funders":"","keywords":"TRIPS architecture; Market segmentation; Context (archaeology); Downtown; Business; Geography; Service (business); Transport engineering; Order (exchange); Metropolitan area; Scale (ratio); Advertising; Regional science; Marketing; Cartography; Engineering; Finance","score_opus":0.06125269058520671,"score_gpt":0.36431910656043665,"score_spread":0.30306641597522993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379383006","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99491376,0.00029025087,0.0015227271,0.00027831417,0.0002742124,0.0021758238,0.00028480944,0.000081357175,0.00017872211],"genre_scores_gemma":[0.99892294,0.000038414088,0.00016850825,0.000031646272,0.000047787,0.00014773967,0.00021949426,0.000019168685,0.00040431754],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99706554,0.00059663615,0.00090251357,0.00045696952,0.00077721797,0.00020113478],"domain_scores_gemma":[0.9979857,0.00038512336,0.0007649203,0.00042814706,0.00036291967,0.00007316468],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017019899,0.00020747435,0.00043659986,0.00006429689,0.00029321565,0.000064790926,0.00045080658,0.00023023749,0.00024424336],"category_scores_gemma":[0.000049776372,0.00015838954,0.0001628838,0.0002773549,0.0002480342,0.00032952047,0.000022081602,0.00020496681,6.8477624e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006367576,0.0013248654,0.8562897,0.00044894725,0.00018807102,0.00009530505,0.1360381,0.00064517144,0.00039375873,0.00004103866,0.0015886066,0.0023096662],"study_design_scores_gemma":[0.0036514695,0.00058377575,0.55303454,0.00020759768,0.00071990583,3.606227e-7,0.43264422,0.00043599465,0.0067394925,0.0012569604,0.00011592565,0.0006097565],"about_ca_topic_score_codex":0.5775798,"about_ca_topic_score_gemma":0.7483727,"teacher_disagreement_score":0.30325517,"about_ca_system_score_codex":0.00015339613,"about_ca_system_score_gemma":0.0005949682,"threshold_uncertainty_score":0.64589375},"labels":[],"label_agreement":null},{"id":"W4379531837","doi":"10.1016/j.geoforum.2023.103787","title":"Regionalization and Recent Immigrants’ Access to Jobs: An Analysis of Commuting in Canadian Metropolitan Areas","year":2023,"lang":"en","type":"article","venue":"Geoforum","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"York University","funders":"Social Sciences and Humanities Research Council of Canada; City University of New York","keywords":"Metropolitan area; Microdata (statistics); Immigration; Public transport; Demographic economics; Context (archaeology); Census; Geography; Inequality; Economic growth; Business; Economics; Sociology; Transport engineering; Population; Demography; Engineering","score_opus":0.04933313621848327,"score_gpt":0.3593649583471435,"score_spread":0.3100318221286602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379531837","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9934385,0.000043941345,0.000045907233,0.004028505,0.00005244124,0.00015057427,0.00003991005,0.000027458807,0.0021727886],"genre_scores_gemma":[0.9994002,0.00006599153,0.000016955257,0.0002671087,0.000019258636,0.0000060158527,0.00011662495,0.0000043523946,0.000103520855],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986137,0.000092999195,0.00021206502,0.00018921049,0.00020238492,0.0006896443],"domain_scores_gemma":[0.9994,0.000041179486,0.000053354575,0.00016138439,0.00008303765,0.0002610493],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015416654,0.000060094935,0.00017539362,0.00070476776,0.00041020007,0.000060831047,0.0002477912,0.000054066684,0.00011341015],"category_scores_gemma":[0.00013096497,0.00006165984,0.000036690766,0.0037654638,0.000086707114,0.000292823,0.000043524495,0.000047040037,0.0000021271708],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004859521,0.000012425732,0.99173397,0.0000045536917,0.000023860035,0.0000020829866,0.0032123623,0.00009768781,0.0000041520625,0.0033465272,0.00016677711,0.0013907152],"study_design_scores_gemma":[0.000058782844,0.000008584672,0.9849479,0.000010306851,0.0000451592,1.3493383e-8,0.009947661,0.00057609845,0.000009938069,0.00080993,0.0035140463,0.000071542265],"about_ca_topic_score_codex":0.9503952,"about_ca_topic_score_gemma":0.99783844,"teacher_disagreement_score":0.047443222,"about_ca_system_score_codex":0.0002465949,"about_ca_system_score_gemma":0.00018457124,"threshold_uncertainty_score":0.3154969},"labels":[],"label_agreement":null},{"id":"W4379621189","doi":"10.1353/cye.2021.a848942","title":"Slow Cities: Conquering Our Speed Addiction for Health and Sustainability by Paul Tranter Rodney Tolley (review)","year":2021,"lang":"en","type":"article","venue":"Children Youth and Environments","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Addiction; Sustainability; Sociology; Psychology; Media studies; Psychiatry; Ecology","score_opus":0.0122920534156176,"score_gpt":0.27240961422926674,"score_spread":0.2601175608136491,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379621189","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97017294,0.025247924,0.00029020547,0.0028010632,0.00009195901,0.00071086903,0.0005087501,0.000023453285,0.00015281672],"genre_scores_gemma":[0.983517,0.013926878,0.0000383061,0.0010039432,0.0000805193,0.000012255709,0.00046926332,0.000009517304,0.0009423483],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99881935,0.000085974054,0.00024100736,0.00037777424,0.00016326894,0.0003126144],"domain_scores_gemma":[0.9995002,0.00001560746,0.00007438399,0.00013735397,0.000012185547,0.00026027125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037605438,0.0001278205,0.0002467149,0.000013113568,0.00041666513,0.000034948374,0.00006816283,0.0000651455,0.000040266223],"category_scores_gemma":[0.000057011668,0.00012287687,0.00005830582,0.000053016607,0.00012773271,0.00017654782,0.000020479018,0.00008509186,9.014794e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050727744,0.00015595216,0.96464956,0.00033706418,0.000060287035,0.0000012831999,0.0107145505,8.106472e-7,0.00001640176,0.000014985563,0.005299076,0.018699327],"study_design_scores_gemma":[0.0022495575,0.00015173206,0.94772154,0.00031487198,0.0001490064,0.0000016425034,0.018517835,0.000012795249,0.00011139752,0.00037042203,0.029912109,0.00048706448],"about_ca_topic_score_codex":0.00043498556,"about_ca_topic_score_gemma":0.00007282806,"teacher_disagreement_score":0.024613032,"about_ca_system_score_codex":0.000089710265,"about_ca_system_score_gemma":0.000091650094,"threshold_uncertainty_score":0.50107735},"labels":[],"label_agreement":null},{"id":"W4379621217","doi":"10.1353/cye.2021.a848944","title":"Transport and Children's Wellbeing by E. Owen D. Waygood Margareta Friman Lars E. Olsson Raktim Mitra (review)","year":2021,"lang":"en","type":"article","venue":"Children Youth and Environments","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Sociology; Library science; Media studies; History","score_opus":0.0069379661276282745,"score_gpt":0.21703796068007633,"score_spread":0.21009999455244804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379621217","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96078223,0.035991408,0.000034672412,0.00048718488,0.00007469826,0.00040806428,0.00031304426,0.000038951137,0.001869757],"genre_scores_gemma":[0.9658592,0.031424936,0.00008771257,0.0006563627,0.0000971133,0.0000073593646,0.0008926172,0.000024256806,0.00095045613],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979944,0.00010143425,0.00033193652,0.00067798287,0.0004065408,0.00048770336],"domain_scores_gemma":[0.9992358,0.000015991352,0.000101989135,0.00029066968,0.0000071709237,0.00034838877],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003401196,0.00026589097,0.00036806293,0.00002563533,0.0005151723,0.000048888836,0.0002206295,0.00015614547,0.00039058115],"category_scores_gemma":[0.00001545232,0.00025941172,0.000113726266,0.0001255236,0.00035462723,0.0003121617,0.000044022123,0.00023368602,0.000013317381],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000072957178,0.000117701515,0.99221003,0.000029870991,0.00006756275,0.000005506823,0.0021226325,1.9288616e-7,0.000095165065,0.0000134027205,0.00031482088,0.005015837],"study_design_scores_gemma":[0.00066340494,0.000018847737,0.99553007,0.0001337679,0.00024293429,0.0000021182202,0.0002899546,5.069639e-7,0.00023130636,0.000069393915,0.002494615,0.00032305138],"about_ca_topic_score_codex":0.0006229964,"about_ca_topic_score_gemma":0.00010791744,"teacher_disagreement_score":0.0050769667,"about_ca_system_score_codex":0.00003412888,"about_ca_system_score_gemma":0.000033445984,"threshold_uncertainty_score":0.9999858},"labels":[],"label_agreement":null},{"id":"W4379986425","doi":"10.1007/s12061-023-09527-w","title":"A Context-based Approach for Neighbourhood Life Circle Delineation and Internal Spatial Utilization Analysis Based on GIS and GPS Tracking Data","year":2023,"lang":"en","type":"article","venue":"Applied Spatial Analysis and Policy","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Humanities and Social Sciences Youth Foundation, Ministry of Education of the People's Republic of China; National Natural Science Foundation of China","keywords":"Neighbourhood (mathematics); Geography; Context (archaeology); Spatial contextual awareness; Beijing; Spatial planning; Sociology; Cartography; Environmental planning; China; Mathematics","score_opus":0.07095960105238584,"score_gpt":0.34609158823152697,"score_spread":0.2751319871791411,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379986425","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31420338,0.00003586255,0.68384284,0.0008198323,0.000016049189,0.00034404505,0.0002876602,0.00006119052,0.00038914479],"genre_scores_gemma":[0.996073,0.00003580811,0.00046122554,0.00050919707,0.0003751997,0.000039680257,0.0024662893,0.000012516035,0.000027068218],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982191,0.00009396229,0.0003963348,0.00066643115,0.00033473043,0.0002894697],"domain_scores_gemma":[0.9989598,0.00019918241,0.00020474997,0.0003313058,0.00009076759,0.0002142085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091594935,0.00017471236,0.00046512665,0.0007886801,0.00056194415,0.0002693274,0.00021373836,0.00012774502,0.000053465792],"category_scores_gemma":[0.00019307676,0.00016921431,0.0001387518,0.002291328,0.00018952547,0.00015623543,0.000041238483,0.00009249427,7.1643353e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028168526,0.00019231101,0.5656636,0.00007495909,0.001212131,7.684872e-7,0.0020138752,0.0050403113,0.00010948552,0.0014993375,0.000050054332,0.42386153],"study_design_scores_gemma":[0.00059166347,0.000025905827,0.40793964,0.000003626278,0.0017380237,9.07165e-9,0.00031223043,0.5889135,0.00004874998,0.00012873717,0.00015524795,0.00014262374],"about_ca_topic_score_codex":0.075142115,"about_ca_topic_score_gemma":0.07167409,"teacher_disagreement_score":0.6833816,"about_ca_system_score_codex":0.000029219897,"about_ca_system_score_gemma":0.00014981713,"threshold_uncertainty_score":0.9452654},"labels":[],"label_agreement":null},{"id":"W4380046566","doi":"10.1080/19427867.2023.2222990","title":"A residential location search model based on the reasons for moving out","year":2023,"lang":"en","type":"article","venue":"Transportation Letters","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Mixture model; Curse of dimensionality; Location model; Relocation; Machine learning; Artificial intelligence; Data mining; Operations research; Engineering","score_opus":0.05825975405365133,"score_gpt":0.33410248118567765,"score_spread":0.2758427271320263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380046566","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82751834,0.0000025322902,0.121854246,0.049290534,0.00013962016,0.0006014038,0.000052836516,0.00018590844,0.00035456027],"genre_scores_gemma":[0.99685854,0.0000020756572,0.00033356625,0.0019241103,0.00011632317,0.00010827775,0.00019315815,0.000013366828,0.0004505634],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99882466,0.00006516478,0.000183208,0.00022605836,0.0004395836,0.00026131034],"domain_scores_gemma":[0.99939954,0.00024987815,0.00004669639,0.00016369403,0.000086671906,0.000053531276],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009350448,0.000079216836,0.000078435725,0.00008434968,0.00059379265,0.00005934501,0.00019994394,0.000050293045,0.00005751081],"category_scores_gemma":[0.000048174308,0.00006675224,0.00008948427,0.00040345703,0.00013358054,0.0001878807,6.7545614e-7,0.00009778137,0.00002686883],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00056678976,0.00017656243,0.16854425,0.00024665677,0.000057713205,0.000014670634,0.09048435,0.65856874,0.009052686,0.033561584,0.036009595,0.0027164076],"study_design_scores_gemma":[0.0012074377,0.000043228243,0.70629114,0.00011701301,0.000112813934,1.0214547e-8,0.0042266585,0.28110778,0.0015906331,0.002729004,0.002107087,0.00046718598],"about_ca_topic_score_codex":0.0007680583,"about_ca_topic_score_gemma":0.00636537,"teacher_disagreement_score":0.5377469,"about_ca_system_score_codex":0.000045601464,"about_ca_system_score_gemma":0.0001581666,"threshold_uncertainty_score":0.45670328},"labels":[],"label_agreement":null},{"id":"W4380266183","doi":"10.1515/9780773575080-005","title":"Why Smart Growth Isn’t Working: An Examination of Ottawa’s Failure to Deliver Sustainable Urban Transit","year":2008,"lang":"en","type":"book-chapter","venue":"McGill-Queen's University Press eBooks","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transit (satellite); Smart growth; Business; Engineering; Transport engineering; Public transport; Civil engineering; Urban planning","score_opus":0.017740999875789913,"score_gpt":0.2133620070710157,"score_spread":0.1956210071952258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380266183","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011952167,0.000005351535,0.00021198655,0.00029533842,0.00011897066,0.0010764827,0.00018120238,0.00021799727,0.9966974],"genre_scores_gemma":[0.29010335,0.00004690993,0.0002005125,0.00015350716,0.000120246244,0.0000020804846,0.00007296985,0.000050308037,0.7092501],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99694675,0.00022236278,0.00041155703,0.00088438916,0.00086946227,0.00066544965],"domain_scores_gemma":[0.9977251,0.000081581886,0.00034933712,0.0005700784,0.0008274038,0.0004464493],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004353221,0.0004907491,0.00064349733,0.00046058517,0.0012001422,0.00005602696,0.0010050876,0.0007595796,0.00019313658],"category_scores_gemma":[0.000020157288,0.00059397204,0.0003223183,0.00008453002,0.00060025015,0.0005806096,0.00012540838,0.0005101342,0.0000043512973],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017244715,0.00011607375,0.00067381107,0.00023794072,0.00017747018,0.0004153479,0.009961491,0.000012401986,0.000008069357,0.9711585,0.015449009,0.0016174611],"study_design_scores_gemma":[0.00049442856,0.00012355586,0.0016705479,0.00013002024,0.00023552036,3.251618e-7,0.0012559234,0.0000016201695,0.0002029222,0.0002524838,0.99499404,0.00063860166],"about_ca_topic_score_codex":0.021503827,"about_ca_topic_score_gemma":0.0006135748,"teacher_disagreement_score":0.97954506,"about_ca_system_score_codex":0.00057129044,"about_ca_system_score_gemma":0.00015960222,"threshold_uncertainty_score":0.9996512},"labels":[],"label_agreement":null},{"id":"W4380363978","doi":"10.32866/001c.77765","title":"The Dimensions of Loyalty in Public Transit among Older Adults: A Comparative Analysis across Three Canadian Regions","year":2023,"lang":"en","type":"article","venue":"Findings","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"McGill University","keywords":"Loyalty; Dimension (graph theory); Sample (material); Marketing; Transit (satellite); Reliability (semiconductor); Variable (mathematics); Public transport; Psychology; Advertising; Social psychology; Business; Sociology; Transport engineering; Engineering; Mathematics","score_opus":0.04373171365021213,"score_gpt":0.32200859288936934,"score_spread":0.2782768792391572,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380363978","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951071,0.000037310205,0.000022827637,0.0027886336,0.000067215355,0.0002610544,0.00007866863,0.000039608924,0.001597586],"genre_scores_gemma":[0.99944043,0.000019352734,0.00000606962,0.000027473992,0.000017104356,0.000024550414,0.0000363842,0.0000038633634,0.00042478862],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99864024,0.0000707858,0.00026153066,0.00023213607,0.00026137638,0.0005339245],"domain_scores_gemma":[0.9992289,0.00019650444,0.00006639974,0.00021010445,0.00010244304,0.00019565344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008329239,0.000085559186,0.00022400847,0.00022127404,0.0010574842,0.00008168469,0.00036379904,0.00009027772,0.00008354549],"category_scores_gemma":[0.000070881586,0.000059763694,0.00015288137,0.0041530947,0.0005977222,0.00022791246,0.000014178147,0.00016297166,0.000013216582],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000045657966,0.000017360371,0.93934405,0.0000031424784,0.000057161662,0.000004084042,0.05860583,0.000013940772,0.0000015949006,0.0012649426,0.00056445337,0.000118854514],"study_design_scores_gemma":[0.00014835985,0.0000049623072,0.98141503,0.000022138007,0.000035886875,1.2332379e-8,0.015735837,0.00019809917,0.000009330223,0.00048082956,0.0018702873,0.00007925073],"about_ca_topic_score_codex":0.52507067,"about_ca_topic_score_gemma":0.99730515,"teacher_disagreement_score":0.4722345,"about_ca_system_score_codex":0.00010644996,"about_ca_system_score_gemma":0.0002427781,"threshold_uncertainty_score":0.81334203},"labels":[],"label_agreement":null},{"id":"W4380576381","doi":"10.5664/jcsm.10688","title":"Shortage of sleep medicine specialists in federally qualified health centers: an illustrative example of differential access to care","year":2023,"lang":"en","type":"article","venue":"Journal of Clinical Sleep Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Sleep & Circadian Network","funders":"National Heart, Lung, and Blood Institute; National Institutes of Health","keywords":"Medicine; Human services; Family medicine; Health equity; Gerontology; Health care; Ethnic group; Public health; Library science; Political science; Nursing; Law","score_opus":0.2510634506240191,"score_gpt":0.521381969150087,"score_spread":0.270318518526068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380576381","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9803477,0.00021614219,0.0005803963,0.01492142,0.0020971086,0.00045138824,0.000022133994,0.000017473292,0.001346271],"genre_scores_gemma":[0.9954724,0.00033248527,0.00007278621,0.0006572736,0.003363225,0.0000022939794,0.0000346871,0.000014048386,0.00005082868],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99281126,0.000989294,0.0038973433,0.00034393667,0.0015231812,0.0004349653],"domain_scores_gemma":[0.9953592,0.0011145489,0.001827886,0.00028915534,0.00066889124,0.0007403543],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0067980466,0.00019824879,0.0017924872,0.00036742756,0.0001354551,0.000019020226,0.00094487256,0.00018599186,0.0008661138],"category_scores_gemma":[0.002376604,0.00013707866,0.00022991796,0.0010329282,0.0009606797,0.00042081138,0.00005945291,0.0005615184,0.0000012475132],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015090917,0.0006248246,0.86860955,0.00023107568,0.00012398549,0.000081516584,0.06576884,0.000039199385,0.00016459788,0.0006280277,0.003040544,0.05917875],"study_design_scores_gemma":[0.003353267,0.0025620537,0.9696973,0.000766508,0.00006886319,4.426442e-7,0.02062672,0.000016051521,0.00004775161,0.0006231862,0.002110787,0.00012707882],"about_ca_topic_score_codex":0.013946676,"about_ca_topic_score_gemma":0.054252688,"teacher_disagreement_score":0.10108774,"about_ca_system_score_codex":0.000106968924,"about_ca_system_score_gemma":0.00041259077,"threshold_uncertainty_score":0.9926195},"labels":[],"label_agreement":null},{"id":"W4380870106","doi":"10.3148/cjdpr-2023-018","title":"Building Enabling Environments","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Dietetic Practice and Research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science","score_opus":0.1216262132677321,"score_gpt":0.436475895284022,"score_spread":0.3148496820162899,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380870106","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96798515,0.0021941613,0.000041617484,0.02009939,0.00026858287,0.00011076941,0.0000025775262,0.0000055871546,0.009292182],"genre_scores_gemma":[0.997204,0.0012724639,0.00029157993,0.00006962549,0.00028125657,0.0000010640102,3.611878e-7,0.000006105518,0.0008735306],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982518,0.00036139778,0.00018882209,0.000108949185,0.0005938492,0.00049519335],"domain_scores_gemma":[0.9981473,0.00080709846,0.00007592114,0.00008621845,0.00016597833,0.00071749685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007128443,0.000045119406,0.00009650137,0.00039329205,0.0009761173,0.00019454616,0.00025022603,0.000064313244,0.00011316865],"category_scores_gemma":[0.0035316837,0.00004018706,0.00003421332,0.00060791365,0.00047314007,0.0006317306,0.000015164734,0.00049462734,0.000027507796],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023398134,0.0002473428,0.597742,0.00022205983,0.00045510608,0.007144891,0.092297405,0.000057066798,0.006166362,0.018996632,0.029760687,0.24667647],"study_design_scores_gemma":[0.0002603062,0.00011083589,0.058287546,0.00009807621,0.000033244927,0.000007826092,0.023090404,0.000011069104,0.00019525824,0.0051091537,0.91268945,0.00010685733],"about_ca_topic_score_codex":0.016915388,"about_ca_topic_score_gemma":0.010993197,"teacher_disagreement_score":0.8829287,"about_ca_system_score_codex":0.00012144386,"about_ca_system_score_gemma":0.0013812782,"threshold_uncertainty_score":0.98963106},"labels":[],"label_agreement":null},{"id":"W4381162405","doi":"10.2139/ssrn.4484774","title":"Behavioural Insights for Living within the Earth's Carrying Capacity: A Review of the Scholarly Literature","year":2023,"lang":"en","type":"review","venue":"SSRN Electronic Journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; York University","funders":"","keywords":"Carrying capacity; Earth (classical element); Environmental ethics; Sociology; Ecology; Philosophy; Biology; Physics","score_opus":0.07245241302455242,"score_gpt":0.34362532896294684,"score_spread":0.27117291593839443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381162405","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00037274786,0.9966424,0.000042750136,0.0004149011,0.0007811298,0.0015038493,0.000031708034,0.000031737636,0.00017876507],"genre_scores_gemma":[0.002182126,0.9950414,0.0000145314825,0.00009280456,0.00069641304,0.00007062904,0.000009020072,0.00004644538,0.0018466547],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99523187,0.0011661637,0.0010105139,0.00032159302,0.0007900401,0.0014798145],"domain_scores_gemma":[0.99732715,0.00047459098,0.0013063201,0.0004403841,0.00036142085,0.000090115085],"candidate_categories":["sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.009836746,0.00033337576,0.001064627,0.00010403899,0.0017415928,0.00047239393,0.0016901171,0.00033318964,0.000011814187],"category_scores_gemma":[0.0011992878,0.00016334659,0.0014187304,0.0013218735,0.0002815887,0.00069079566,0.00006472463,0.0056943772,0.0000035161022],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001750721,0.00021283318,0.0034409282,0.12700711,0.0022832819,0.0000123141135,0.029273117,5.7324075e-7,0.0000015801988,0.39997527,0.0005306611,0.43724483],"study_design_scores_gemma":[0.00015485405,0.000094486306,0.00018763331,0.37029788,0.0030865339,0.000063068015,0.0021751393,6.9092545e-7,4.64008e-7,0.071963005,0.55139595,0.0005802953],"about_ca_topic_score_codex":0.00042791708,"about_ca_topic_score_gemma":0.018278398,"teacher_disagreement_score":0.5508653,"about_ca_system_score_codex":0.0008552598,"about_ca_system_score_gemma":0.009254568,"threshold_uncertainty_score":0.99963546},"labels":[],"label_agreement":null},{"id":"W4381162710","doi":"10.1016/j.jth.2023.101647","title":"Self-selected pedal-assist E-bike use in older adults is moderate-vigorous intensity","year":2023,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Intensity (physics); Heart rate; Physical activity; Exercise intensity; Heart rate monitor; Medicine; Physical therapy; Psychology; Blood pressure; Internal medicine; Physics","score_opus":0.030785401628925884,"score_gpt":0.31876619592005867,"score_spread":0.28798079429113277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381162710","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9921514,0.0003417928,0.0002093184,0.0060176696,0.000571447,0.00038664258,0.000035989167,0.00013837317,0.00014739762],"genre_scores_gemma":[0.99709105,0.0008760521,0.0005381618,0.0009224289,0.0002525878,0.0000037776506,0.000023038687,0.000024524392,0.0002683928],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9965557,0.00018602441,0.001272962,0.00034323742,0.0008638702,0.0007782231],"domain_scores_gemma":[0.9979624,0.000092628645,0.0005620564,0.00021330295,0.0006673249,0.0005022965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022417519,0.0002156125,0.0007216108,0.00033981516,0.0004853879,0.000063319676,0.0003848559,0.00019284702,0.00013732075],"category_scores_gemma":[0.00005220609,0.00019400755,0.00023751405,0.0016856815,0.000119770586,0.0008609243,0.0000068333648,0.0007356622,0.000012962782],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005478508,0.0004359615,0.95585084,0.00018529982,0.00003527545,0.0002504401,0.039568424,0.00001574844,0.0000045485663,0.000036236448,0.0014722288,0.001597131],"study_design_scores_gemma":[0.0012913201,0.00012922045,0.9938068,0.00023314074,0.000028975894,0.000004829807,0.0019780789,0.0001367725,0.000036614307,0.00017583718,0.0019881104,0.00019032662],"about_ca_topic_score_codex":0.01582545,"about_ca_topic_score_gemma":0.06931806,"teacher_disagreement_score":0.053492617,"about_ca_system_score_codex":0.00038106757,"about_ca_system_score_gemma":0.0019681735,"threshold_uncertainty_score":0.99072826},"labels":[],"label_agreement":null},{"id":"W4381192809","doi":"10.1136/ip-2023-044922","title":"Is higher school neighbourhood Walk Score associated with greater child pedestrian safety near schools?","year":2023,"lang":"en","type":"article","venue":"Injury Prevention","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institut National de la Recherche Scientifique; University of Toronto; Toronto Metropolitan University; York University; Hospital for Sick Children; Public Health Ontario; University of Calgary; Toronto Public Health","funders":"","keywords":"Walkability; Pedestrian; Neighbourhood (mathematics); Poison control; Transport engineering; Injury prevention; Level design; Environmental health; Occupational safety and health; Human factors and ergonomics; Built environment; Suicide prevention; Psychology; Geography; Medicine; Engineering; Computer science; Mathematics; Civil engineering","score_opus":0.030268874029958193,"score_gpt":0.30633656483843585,"score_spread":0.27606769080847765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381192809","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97692394,0.000034225715,0.000039613835,0.0030089694,0.00039572144,0.0005707101,0.00007328919,0.0004926025,0.018460918],"genre_scores_gemma":[0.9815518,0.000027818263,0.000043766195,0.00018809945,0.00032355668,0.000032039825,0.00016520864,0.000028009941,0.017639648],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977961,0.0002714753,0.00035885058,0.0004640578,0.0006006638,0.00050885667],"domain_scores_gemma":[0.99911934,0.000026243995,0.0001924945,0.00031176253,0.00012241922,0.00022772707],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001004617,0.00019328538,0.00023631696,0.00009928619,0.0010358806,0.00028554088,0.00031030018,0.00022650398,0.0047520106],"category_scores_gemma":[0.0001034749,0.00016780882,0.00017223843,0.001108986,0.00015523395,0.00085994246,0.000034223,0.00036481084,0.0005429159],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015561571,0.00011240709,0.991477,0.000016858368,0.00009149126,0.0000094464685,0.00084808917,0.0000024490857,0.000020218815,0.0002083736,0.0032590148,0.0037990182],"study_design_scores_gemma":[0.00069372874,0.0001119995,0.9893572,0.00020158142,0.00007993211,1.2612178e-7,0.0002072221,0.000009976914,0.0000978044,0.0026784986,0.0063176653,0.0002442904],"about_ca_topic_score_codex":0.0011669192,"about_ca_topic_score_gemma":0.0015633261,"teacher_disagreement_score":0.004627903,"about_ca_system_score_codex":0.00019808812,"about_ca_system_score_gemma":0.0002769666,"threshold_uncertainty_score":0.99615777},"labels":[],"label_agreement":null},{"id":"W4381283146","doi":"10.1177/03611981231172503","title":"The Multimodal Accessibility Target (MAT)","year":2023,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Concordia University","funders":"","keywords":"Transport engineering; Bus rapid transit; Work (physics); Public transport; Prosperity; Land use; Transportation planning; Multimodal transport; Computer science; Light rail transit; Urban planning; Land-use planning; Business; Engineering; Civil engineering; Economics; Economic growth","score_opus":0.119053708117924,"score_gpt":0.4482039170453388,"score_spread":0.3291502089274148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381283146","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.981207,0.00026292377,0.00027440718,0.014291128,0.0013710825,0.001367496,0.00007546872,0.00010884226,0.0010416642],"genre_scores_gemma":[0.9936364,0.0014772722,0.00043111117,0.00004223148,0.0005312154,0.00010083751,0.000022234552,0.00004763815,0.003711055],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98581946,0.003316509,0.0017763604,0.0005603685,0.0068019116,0.0017254148],"domain_scores_gemma":[0.9896348,0.0036137446,0.000550806,0.0007959495,0.0047874567,0.0006172379],"candidate_categories":["sts","research_integrity"],"consensus_categories":["sts"],"category_scores_codex":[0.02205563,0.00026406304,0.00045426193,0.0007197621,0.005155109,0.0005200384,0.0030866133,0.00028827507,0.00049794785],"category_scores_gemma":[0.0010169626,0.00016646144,0.00064245716,0.005776265,0.0030641193,0.0012909163,0.000014934637,0.0029335984,0.0001030558],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009988463,0.00020825336,0.9577369,0.00011592439,0.00011078523,0.000089024754,0.010739285,0.00026700736,0.00050113397,0.0048229396,0.015738633,0.008671246],"study_design_scores_gemma":[0.00077402033,0.00013291017,0.88754207,0.00010689729,0.000026244656,3.4608036e-8,0.008324821,0.00009169386,0.00037673803,0.01833662,0.08412035,0.00016760505],"about_ca_topic_score_codex":0.03327456,"about_ca_topic_score_gemma":0.25503367,"teacher_disagreement_score":0.22175913,"about_ca_system_score_codex":0.00038774236,"about_ca_system_score_gemma":0.0019477811,"threshold_uncertainty_score":0.999649},"labels":[],"label_agreement":null},{"id":"W4381301500","doi":"10.2139/ssrn.4456917","title":"Can We Save the Downtown? Examining Pandemic Recovery and Polycentricity Trajectories Across 62 North American Cities","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Downtown; Polycentricity; Pandemic; Economic geography; Geography; Regional science; Coronavirus disease 2019 (COVID-19); Economics; Archaeology; Corporate governance; Finance","score_opus":0.037443664929038036,"score_gpt":0.3055209193134677,"score_spread":0.26807725438442964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381301500","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9897529,0.004980009,0.00019670225,0.0031576294,0.0010762052,0.00033627363,0.00011589479,0.00016369483,0.00022067312],"genre_scores_gemma":[0.9291908,0.067197844,0.000010584717,0.000076823664,0.0013540518,0.000020235651,0.00002304226,0.00003805258,0.0020885547],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9943164,0.00047343664,0.0005834522,0.00058980606,0.0007351872,0.0033017064],"domain_scores_gemma":[0.9982049,0.00043022403,0.0006899093,0.00033657523,0.0001394204,0.0001989929],"candidate_categories":["metaepi_narrow","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0039909706,0.00038543687,0.0005814515,0.000109766246,0.0020449252,0.00061913877,0.0009626232,0.00020565445,0.000020378518],"category_scores_gemma":[0.0002403744,0.00028825464,0.00023071391,0.0005954609,0.0013482855,0.00023454071,0.0002266559,0.0052436288,0.0000029975001],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000064684486,0.000019807841,0.9207439,0.000021321644,0.00023847914,0.0000065960953,0.019179516,0.000023095628,0.0000020469033,0.0005651978,0.000034435172,0.05910095],"study_design_scores_gemma":[0.00024437008,0.00014641868,0.83558846,0.00006967266,0.00013090202,0.000013475986,0.06706386,0.00000579141,0.0000036554552,0.095590144,0.00067949475,0.00046378453],"about_ca_topic_score_codex":0.048385285,"about_ca_topic_score_gemma":0.79897964,"teacher_disagreement_score":0.7505943,"about_ca_system_score_codex":0.0017884793,"about_ca_system_score_gemma":0.0062691206,"threshold_uncertainty_score":0.99995697},"labels":[],"label_agreement":null},{"id":"W4381618862","doi":"10.1016/j.jtrangeo.2023.103635","title":"Are low-income residents disproportionately moving away from transit?","year":2023,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Public transport; Demographic economics; Suburbanization; Neighbourhood (mathematics); Poverty; Gentrification; Geography; Low income; Transit (satellite); Economic growth; Business; Economics; Transport engineering; Metropolitan area; Engineering","score_opus":0.018490678355177745,"score_gpt":0.2873255781224889,"score_spread":0.2688348997673111,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381618862","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958842,0.0004624806,0.0004948776,0.0011625637,0.001004266,0.00017031569,0.000107486834,0.0001250285,0.0005887872],"genre_scores_gemma":[0.99852556,0.00042359805,0.00017676894,0.000105668936,0.00054815505,0.000003662463,0.00003113784,0.00002387936,0.00016159491],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9967689,0.00009640011,0.0010236321,0.00029669763,0.0013130807,0.0005012882],"domain_scores_gemma":[0.9981842,0.00009657087,0.0008131858,0.0002268159,0.00032535903,0.00035387735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013107578,0.00020843725,0.0004945754,0.00056207966,0.00048253947,0.0000924448,0.00064463704,0.00018543094,0.00041612104],"category_scores_gemma":[0.000036855057,0.00018480726,0.00082383346,0.001503103,0.0003278462,0.0012540591,0.0000061993237,0.00043371256,0.000017567263],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011812928,0.00011330562,0.9961546,0.000038109985,0.00012540938,0.0005457122,0.0019127366,0.000070162954,0.00013557663,0.00003980811,0.00011894017,0.0006275106],"study_design_scores_gemma":[0.00057075405,0.000028427428,0.9902592,0.00024436315,0.00013499083,8.0074904e-7,0.0012929034,0.0000026563187,0.00014673533,0.0049806214,0.0021254558,0.00021311067],"about_ca_topic_score_codex":0.00273825,"about_ca_topic_score_gemma":0.005398596,"teacher_disagreement_score":0.0058954176,"about_ca_system_score_codex":0.00004169744,"about_ca_system_score_gemma":0.00017180714,"threshold_uncertainty_score":0.7536221},"labels":[],"label_agreement":null},{"id":"W4381685637","doi":"10.1186/s12889-023-16115-7","title":"Road safety, health equity, and the built environment: perspectives of transport and injury prevention professionals in five Canadian municipalities","year":2023,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Montréal; Public Health Ontario; York University; University of British Columbia; University of Ottawa; Parachute; University of Calgary","funders":"Canadian Institutes of Health Research; University of Pittsburgh","keywords":"Thematic analysis; Equity (law); Public health; Occupational safety and health; Psychological intervention; Built environment; Public relations; Poison control; Context (archaeology); Public transport; Medicine; Focus group; Environmental health; Business; Qualitative research; Nursing; Political science; Sociology; Transport engineering; Marketing; Geography; Engineering","score_opus":0.07296116090060684,"score_gpt":0.39545372617631824,"score_spread":0.3224925652757114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381685637","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92527235,0.0020824156,0.000014637356,0.06986671,0.000055715005,0.00094442675,0.00015126698,0.000027409145,0.0015850522],"genre_scores_gemma":[0.9957846,0.0024940239,0.000043303564,0.00038679887,0.000041423355,0.00003893381,0.000042226857,0.0000069174707,0.001161799],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974221,0.00090109644,0.00047916267,0.00026779593,0.0003702441,0.000559596],"domain_scores_gemma":[0.99910975,0.00013857344,0.00017482576,0.00017326926,0.000026480326,0.00037711568],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008629589,0.00009617215,0.00030571016,0.00019238744,0.00066249626,0.000032111828,0.00022292539,0.0000725783,0.00009927804],"category_scores_gemma":[0.000103660124,0.00007463625,0.000044266242,0.0004070368,0.00075167837,0.00028663408,0.000064116895,0.00016704778,0.0000015327212],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006448114,0.00012123746,0.5466935,0.00030514275,0.000013538758,6.9553255e-7,0.38633388,0.0000019469207,2.3917914e-7,0.04162263,0.00023140795,0.024611257],"study_design_scores_gemma":[0.0004913529,0.000043412692,0.86145914,0.00006184356,0.0000021462968,9.314916e-8,0.12879434,0.000027671002,1.55911e-7,0.0059982897,0.003053832,0.00006773337],"about_ca_topic_score_codex":0.78562593,"about_ca_topic_score_gemma":0.92892534,"teacher_disagreement_score":0.3147656,"about_ca_system_score_codex":0.0003882622,"about_ca_system_score_gemma":0.004567947,"threshold_uncertainty_score":0.81033415},"labels":[],"label_agreement":null},{"id":"W4381805755","doi":"10.3390/ijgi12070255","title":"Exploring Spatial Mismatch between Primary Care and Older Populations in an Aging Country: A Case Study of South Korea","year":2023,"lang":"en","type":"article","venue":"ISPRS International Journal of Geo-Information","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Index (typography); Population ageing; Primary care; Geography; Older people; Population; Health care; Catchment area; Capital city; Gerontology; Primary health care; Socioeconomics; Medicine; Environmental health; Economic growth; Cartography; Economic geography; Family medicine; Sociology; Drainage basin","score_opus":0.09336352594610141,"score_gpt":0.3546532551220914,"score_spread":0.26128972917598997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381805755","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984851,0.000014820538,0.00045680767,0.000104220424,0.00047246492,0.00018693588,0.000051284675,0.000018047273,0.00021035376],"genre_scores_gemma":[0.99950874,0.000014621351,0.00012975484,0.000019984944,0.00021569068,0.0000049096225,0.00010014835,0.0000035592086,0.000002578213],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983998,0.000063787214,0.00066798733,0.00006351059,0.0006818481,0.00012309244],"domain_scores_gemma":[0.9988435,0.00004821418,0.00044223494,0.00006662603,0.0005304908,0.000068962225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065064675,0.00007465713,0.00016015349,0.00047068394,0.00015404094,0.00013002183,0.0002032149,0.000040925097,0.000010768763],"category_scores_gemma":[0.000055489465,0.00007256639,0.000037492435,0.00027788937,0.000043581796,0.0047406866,0.000029654093,0.00014793416,0.0000015143772],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002179327,0.000031174695,0.7781665,0.000023148035,0.00001905565,0.000045837704,0.19660585,0.00023894165,0.0000023964844,0.00003430278,0.000004420511,0.024806581],"study_design_scores_gemma":[0.0008307169,0.000062698266,0.83272344,0.000078189754,0.000024799063,0.000007810821,0.16587394,0.0001256874,0.000009860587,0.00007719403,0.00011630549,0.00006934554],"about_ca_topic_score_codex":0.01076019,"about_ca_topic_score_gemma":0.0070428727,"teacher_disagreement_score":0.054556955,"about_ca_system_score_codex":0.00015749506,"about_ca_system_score_gemma":0.00012662177,"threshold_uncertainty_score":0.99582726},"labels":[],"label_agreement":null},{"id":"W4382045623","doi":"10.1016/j.tbs.2023.100624","title":"How daily activities and built environment affect health? A latent segmentation-based random parameter logit modeling approach","year":2023,"lang":"en","type":"article","venue":"Travel Behaviour and Society","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Michael Smith Health Research BC","keywords":"Random effects model; Affect (linguistics); Logit; Econometrics; Logistic regression; Segmentation; Discrete choice; Random forest; Mixed logit; Investment (military); Latent variable; Duration (music); Travel behavior; Business; Computer science; Statistics; Transport engineering; Economics; Psychology; Mathematics; Engineering; Medicine; Meta-analysis; Machine learning","score_opus":0.06363606102809782,"score_gpt":0.3037221483336487,"score_spread":0.24008608730555087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382045623","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9788044,0.0002720121,0.019012216,0.0011378845,0.00004804216,0.0005456594,0.000044126606,0.00008714413,0.00004851776],"genre_scores_gemma":[0.99703664,0.000495925,0.0016621008,0.00016614106,0.00004366214,0.00007784195,0.000072629766,0.000013043784,0.00043200754],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986345,0.00012373608,0.00016938492,0.00037453437,0.00033014524,0.00036768283],"domain_scores_gemma":[0.9995255,0.000116740586,0.00006550302,0.00011966181,0.000011097981,0.0001615105],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007942396,0.0001586429,0.00026025777,0.000025829184,0.0007341044,0.0001988837,0.00008793798,0.0001178447,0.000013922264],"category_scores_gemma":[0.0000068524337,0.00014067898,0.00014979963,0.000112082475,0.0003010675,0.00022267202,0.000018157385,0.00016293136,7.544581e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006820923,0.00027222437,0.9123183,0.00019447331,0.000069906164,0.0000033379329,0.07879933,0.0007237604,0.0004300283,0.00008261071,0.0003059962,0.0067318156],"study_design_scores_gemma":[0.004449988,0.0001403207,0.8564908,0.00004088645,0.00017448334,4.9604284e-7,0.075136535,0.06208695,0.0003098565,0.000503931,0.000043075,0.0006227008],"about_ca_topic_score_codex":0.0017861126,"about_ca_topic_score_gemma":0.00013700887,"teacher_disagreement_score":0.061363194,"about_ca_system_score_codex":0.000075749995,"about_ca_system_score_gemma":0.00008478645,"threshold_uncertainty_score":0.57367224},"labels":[],"label_agreement":null},{"id":"W4382318400","doi":"10.1609/aaai.v37i12.26667","title":"Walkability Optimization: Formulations, Algorithms, and a Case Study of Toronto","year":2023,"lang":"en","type":"article","venue":"Proceedings of the AAAI Conference on Artificial Intelligence","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Walkability; Zoning; Constraint (computer-aided design); Computer science; Land use; Scale (ratio); Transport engineering; Built environment; Geography; Mathematics; Civil engineering; Engineering","score_opus":0.1125531167849433,"score_gpt":0.3673743098274609,"score_spread":0.2548211930425176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382318400","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99463385,0.000020491443,0.00026884937,0.00044508872,0.00012893316,0.00067814026,0.000007477714,0.000058678153,0.003758508],"genre_scores_gemma":[0.99938583,0.000046161265,0.00035326584,0.000010014142,0.000043777538,0.00002309286,5.975682e-7,0.000005820804,0.000131448],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99862486,0.000027809203,0.00047554256,0.0002870308,0.00039053772,0.00019421599],"domain_scores_gemma":[0.9988598,0.00010323897,0.00023654751,0.00014570357,0.00058568694,0.00006900797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009210845,0.00010853548,0.00019706239,0.000038494254,0.0004295486,0.00007098977,0.00036655084,0.0000658069,0.00020557638],"category_scores_gemma":[0.00034490766,0.00008506139,0.000051228784,0.00046959225,0.0003951555,0.0004118819,0.00008098866,0.00009482183,0.000002554771],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028725225,0.0025042233,0.31588438,0.00027906342,0.00009560914,0.000015316773,0.24855396,0.0011502724,0.0012311727,0.2602623,0.00013308451,0.16960335],"study_design_scores_gemma":[0.00031840013,0.0013933369,0.051897738,0.0003277921,0.00023747984,0.000009403553,0.6466155,0.14374532,0.019877715,0.13448085,0.00015937722,0.0009371125],"about_ca_topic_score_codex":0.015747402,"about_ca_topic_score_gemma":0.010848932,"teacher_disagreement_score":0.3980615,"about_ca_system_score_codex":0.000045950866,"about_ca_system_score_gemma":0.00008526999,"threshold_uncertainty_score":0.9908068},"labels":[],"label_agreement":null},{"id":"W4382359227","doi":"10.1016/j.trb.2023.03.006","title":"Productivity benefits of urban transportation megaprojects: A general equilibrium analysis of «Grand Paris Express»","year":2023,"lang":"en","type":"article","venue":"Transportation Research Part B Methodological","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Transportation of Ontario","funders":"","keywords":"Economics; Externality; Economic rent; Total factor productivity; Revenue; General equilibrium theory; Microeconomics; Productivity; Tax revenue; Welfare; Monetary economics; Macroeconomics; Market economy; Finance","score_opus":0.41561224861887197,"score_gpt":0.4943221834230336,"score_spread":0.07870993480416161,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382359227","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99549407,0.00024258244,0.001626495,0.0004204552,0.00012640045,0.00084125175,0.00060912676,0.00016106915,0.0004785351],"genre_scores_gemma":[0.99443513,0.00026895438,0.0036170175,0.00000899785,0.0001552936,0.00014678211,0.00082028465,0.000016163896,0.0005313616],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9927341,0.0027912853,0.0010790892,0.00078022084,0.0018676098,0.0007477135],"domain_scores_gemma":[0.99597615,0.0021322458,0.00031838784,0.00044386712,0.00089994585,0.0002294021],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013450655,0.00020433933,0.00090403424,0.0009060817,0.0002869799,0.000030353658,0.00048653007,0.0003055925,0.00059923786],"category_scores_gemma":[0.00082422496,0.00017885503,0.0004791875,0.007675728,0.0012557256,0.0004405308,0.0000065517456,0.0004096561,0.0000044759563],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00065221655,0.00041102327,0.9489207,0.00020864527,0.0004718207,0.000011905442,0.023183826,0.005430591,0.011326913,0.006934283,0.00071274344,0.0017353082],"study_design_scores_gemma":[0.00040578228,0.00015077028,0.9824029,0.000029029046,0.00044608462,1.2041386e-8,0.0016735396,0.00019933292,0.011093931,0.0012458838,0.0021603296,0.00019237962],"about_ca_topic_score_codex":0.005439303,"about_ca_topic_score_gemma":0.008302806,"teacher_disagreement_score":0.0334822,"about_ca_system_score_codex":0.000038030943,"about_ca_system_score_gemma":0.0002530902,"threshold_uncertainty_score":0.82226354},"labels":[],"label_agreement":null},{"id":"W4382657341","doi":"10.21203/rs.3.rs-3112752/v1","title":"How does Public Transit Serve Post-Secondary Students in Toronto? A Utility- based Analysis of Accessibility by Transit for Discretionary Trips","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"TRIPS architecture; Public transport; Transit (satellite); Travel behavior; Population; Service (business); Geography; Transport engineering; Business; Marketing; Psychology; Medicine; Engineering; Environmental health","score_opus":0.10483653777858744,"score_gpt":0.45301235739179385,"score_spread":0.3481758196132064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382657341","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9619598,0.0015713455,0.0016373019,0.011693852,0.00026242883,0.0048744897,0.017359184,0.00015900492,0.00048260254],"genre_scores_gemma":[0.99153036,0.00021424271,0.00010356305,0.000035973426,0.00011307399,0.0009384085,0.006011578,0.00004705533,0.0010057547],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9894995,0.0025855391,0.0011370532,0.0018683505,0.003593257,0.0013163087],"domain_scores_gemma":[0.9944184,0.0016086703,0.0002905864,0.0013240633,0.0018716549,0.00048666765],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.013621852,0.000444722,0.0014062097,0.0009894265,0.00065765396,0.0008315922,0.0028138536,0.00087062427,0.0017625359],"category_scores_gemma":[0.0010745456,0.0003758803,0.0013521969,0.002877274,0.0010604458,0.0011554859,0.00028601033,0.0014285343,0.0000011697043],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007529221,0.0015964281,0.983588,0.003076199,0.000794769,0.000011877584,0.006535102,0.0000156762,0.00008595442,0.00007796825,0.00028103142,0.0031840627],"study_design_scores_gemma":[0.0011101501,0.000128787,0.9765137,0.00022351195,0.00033153783,7.96554e-9,0.01675087,0.0010447175,0.00009327191,0.0022985495,0.001093031,0.00041187936],"about_ca_topic_score_codex":0.10124293,"about_ca_topic_score_gemma":0.663942,"teacher_disagreement_score":0.562699,"about_ca_system_score_codex":0.0012684142,"about_ca_system_score_gemma":0.0027219204,"threshold_uncertainty_score":0.9998693},"labels":[],"label_agreement":null},{"id":"W4383222217","doi":"10.1016/j.apgeog.2023.103026","title":"Measuring access to health facilities in Ghana: Implications for implementation of health interventions and the Sustainable Development Goal 3","year":2023,"lang":"en","type":"article","venue":"Applied Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Socioeconomic status; Health care; Business; Psychological intervention; Sustainable development; Population; Universal design; Geography; Mode of transport; Environmental health; Economic growth; Socioeconomics; Medicine; Transport engineering; Nursing; Political science; Computer science; Engineering; Economics","score_opus":0.08431849482119286,"score_gpt":0.3873672259562443,"score_spread":0.30304873113505143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383222217","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9770754,0.0003200543,0.003965138,0.015021319,0.00003501067,0.0030670436,0.000060806753,0.000059718524,0.00039551384],"genre_scores_gemma":[0.9982771,0.00004116806,0.00034106197,0.00015991284,0.000010577646,0.0010610343,0.000039417417,0.0000040654063,0.00006565529],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998829,0.0000640066,0.000439648,0.00018576602,0.00012672454,0.00035487377],"domain_scores_gemma":[0.9995323,0.0000979716,0.00013198765,0.0001066785,0.000066866545,0.000064202824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002667485,0.00006356354,0.00018508435,0.00026892623,0.000767328,0.00006502074,0.00020383306,0.00001848878,0.000010880276],"category_scores_gemma":[0.00001442992,0.000054660748,0.00006948855,0.0010429044,0.0001417916,0.00012584621,0.00005278568,0.000040764593,5.660284e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036171692,0.00004911313,0.7762123,0.0007432586,0.00003587878,3.7847645e-8,0.06677452,0.000010765335,0.0000021985547,0.086138956,0.00048421868,0.06951262],"study_design_scores_gemma":[0.0004655886,0.000012977198,0.9014488,0.000017667338,0.0000028803886,5.7835403e-9,0.0831722,3.9033293e-7,0.000018423005,0.011637174,0.0031719871,0.000051913554],"about_ca_topic_score_codex":0.019605223,"about_ca_topic_score_gemma":0.06309861,"teacher_disagreement_score":0.12523653,"about_ca_system_score_codex":0.00006874719,"about_ca_system_score_gemma":0.0002893608,"threshold_uncertainty_score":0.98692334},"labels":[],"label_agreement":null},{"id":"W4383499463","doi":"10.2196/preprints.50548","title":"Monitoring and Evaluation of Dementia-Friendly Neighborhoods Using a Walkshed Approach: Protocol for a Scoping Review (Preprint)","year":2023,"lang":"en","type":"review","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Dementia; Context (archaeology); Preprint; Gerontology; Psychology; Grey literature; Aging in place; Medicine; Applied psychology; MEDLINE; Political science; Computer science; World Wide Web; Geography","score_opus":0.4167731947663291,"score_gpt":0.5473381141024553,"score_spread":0.13056491933612613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383499463","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000038082605,0.6593415,0.00077087054,0.0000045684565,0.000065874054,0.338674,0.0000049855043,0.000057010744,0.0010773645],"genre_scores_gemma":[0.000005389801,0.68096244,0.002888925,0.0000017367505,0.00015878744,0.3159138,0.000007902864,0.000025985386,0.000035007004],"study_design_codex":"design_other","study_design_gemma":"systematic_review","domain_scores_codex":[0.99662507,0.00051940023,0.0011470468,0.0006098473,0.0007829485,0.00031568532],"domain_scores_gemma":[0.9982026,0.0002336278,0.0007695047,0.00033708708,0.0003654783,0.00009170349],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0076519363,0.00026604414,0.001339635,0.00010748435,0.00029299594,0.000074790274,0.00032515483,0.00019967865,0.00010084071],"category_scores_gemma":[0.000558214,0.00019308082,0.00037346155,0.00062306825,0.00011963844,0.0002625778,0.00007537479,0.00013624017,0.0000014323106],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000023994935,0.000041488303,0.0003674525,0.42449895,0.00009434677,1.0031307e-7,0.00019226917,8.4977523e-7,1.5311869e-7,0.00006625858,0.0000073268125,0.5747284],"study_design_scores_gemma":[0.000595841,0.000032948305,0.000054956312,0.95909363,0.0040631653,3.2016985e-7,0.0002545201,0.00019283869,0.0000038047162,0.00037274798,0.034840535,0.0004946873],"about_ca_topic_score_codex":0.00036534472,"about_ca_topic_score_gemma":0.00010847129,"teacher_disagreement_score":0.5742337,"about_ca_system_score_codex":0.00015320705,"about_ca_system_score_gemma":0.001654863,"threshold_uncertainty_score":0.7873607},"labels":[],"label_agreement":null},{"id":"W4383704391","doi":"10.16997/ats.1450","title":"Support for Active Transport Policy Initiatives Among Canadian Adults: The Canadian National Active Transportation Survey","year":2023,"lang":"en","type":"article","venue":"Active Travel Studies","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Canadian Fitness and Lifestyle Research Institute; University of British Columbia; Parks Canada; University of Alberta","funders":"","keywords":"Subsidy; Demographics; Residence; Public policy; Public economics; Government (linguistics); Public transport; Business; Demographic economics; Multinomial logistic regression; Household income; Economic growth; Political science; Economics; Geography; Demography; Sociology","score_opus":0.08178808431617904,"score_gpt":0.37253640578161024,"score_spread":0.29074832146543117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383704391","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9518103,0.000040991006,0.00001671114,0.0052862098,0.00042305246,0.0019455927,0.014229035,0.00009977641,0.026148343],"genre_scores_gemma":[0.9961242,0.00018759174,0.000011663774,0.00043140518,0.00033452263,0.00049631274,0.0016074039,0.0000316798,0.00077521574],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972145,0.00022110817,0.0003834556,0.0005509618,0.00065263,0.0009773214],"domain_scores_gemma":[0.9968679,0.00094877434,0.00017915829,0.00014642582,0.0014063454,0.00045142957],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0012007314,0.00030568233,0.0004013462,0.00048810567,0.0032571955,0.00004851057,0.0004126582,0.00019804743,0.000099683966],"category_scores_gemma":[0.00073990057,0.0002572673,0.00020079894,0.0015352647,0.0012702125,0.00096272375,0.0000041686844,0.00029972207,0.00001789976],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044892097,0.00007031682,0.6330766,0.00004691354,0.0010357,0.000021216008,0.35087946,0.000020322446,0.000005836024,0.007812675,0.0016402185,0.0049417876],"study_design_scores_gemma":[0.00047885318,0.000051378167,0.9223142,0.000023302033,0.00005815578,6.294501e-8,0.07168866,0.000006024591,0.00017324403,0.0024063997,0.0025146184,0.00028506783],"about_ca_topic_score_codex":0.9848377,"about_ca_topic_score_gemma":0.9999175,"teacher_disagreement_score":0.28923762,"about_ca_system_score_codex":0.0017550383,"about_ca_system_score_gemma":0.0067086504,"threshold_uncertainty_score":0.99998796},"labels":[],"label_agreement":null},{"id":"W4384024051","doi":"10.1139/cjce-2022-0463","title":"Location–allocation strategies for traffic counters—a citywide deployment","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Software deployment; Simulated annealing; Kriging; Transport engineering; Variance (accounting); Computer science; Traffic generation model; Operations research; Engineering; Real-time computing; Algorithm; Machine learning","score_opus":0.021111483302412245,"score_gpt":0.25517347881257246,"score_spread":0.23406199551016021,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384024051","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9538001,0.0007145709,0.04049028,0.0019753315,0.0014421518,0.00026945406,0.000010917062,0.00008496107,0.0012122414],"genre_scores_gemma":[0.99944276,0.000013559435,0.00008312581,0.000029948667,0.00028402163,0.000006152258,0.0000038926087,0.000010755797,0.00012579407],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992812,0.000010312497,0.00022375825,0.0000709142,0.00015179705,0.00026197534],"domain_scores_gemma":[0.99930686,0.000059832528,0.00006923996,0.00006049727,0.00021733157,0.00028623402],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058347144,0.00006393402,0.00010379232,0.00022566189,0.00017313697,0.00011676221,0.00018436636,0.000046119305,0.000056829806],"category_scores_gemma":[0.00010729359,0.000068534224,0.00005943243,0.00039536628,0.000041774125,0.0003833793,0.0000011999626,0.00008288943,0.0000033331576],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017662915,0.000022772185,0.019748572,0.00034518482,0.00012300002,0.000058393645,0.028392583,0.91844684,0.0002994461,0.014642033,0.014506056,0.0033974384],"study_design_scores_gemma":[0.0028794485,0.0003850038,0.3365847,0.0015414555,0.0003213973,0.00001369195,0.048597973,0.077923715,0.00035023794,0.00839535,0.521281,0.0017260637],"about_ca_topic_score_codex":0.0022282714,"about_ca_topic_score_gemma":0.66017216,"teacher_disagreement_score":0.8405231,"about_ca_system_score_codex":0.00022837851,"about_ca_system_score_gemma":0.0018962192,"threshold_uncertainty_score":0.3460288},"labels":[],"label_agreement":null},{"id":"W4384206964","doi":"10.1016/j.cstp.2023.101047","title":"Need for strategic planning of electric vehicle charging locations in Windsor, Ontario","year":2023,"lang":"en","type":"article","venue":"Case Studies on Transport Policy","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"York University","funders":"","keywords":"Windsor; Polygon (computer graphics); Transport engineering; Catchment area; Geography; Ranking (information retrieval); Electric vehicle; Point (geometry); Residential area; Population; Computer science; Cartography; Engineering; Environmental science; Telecommunications; Civil engineering; Mathematics; Drainage basin; Demography","score_opus":0.09665339150998949,"score_gpt":0.3815088751037894,"score_spread":0.2848554835937999,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384206964","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9941882,0.00018120625,0.000010604968,0.0006842166,0.00011435847,0.00047726455,0.00002806371,0.00009344408,0.004222633],"genre_scores_gemma":[0.9988273,0.000044462104,0.000016536464,0.000078374804,0.00016207651,0.00008610849,0.000025599511,0.000013481603,0.0007460974],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985957,0.00003124369,0.00042899683,0.0002743068,0.00019732819,0.0004724304],"domain_scores_gemma":[0.99937713,0.00018483869,0.00010438307,0.00015340232,0.00009893736,0.000081278544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006035026,0.00014164882,0.00031654173,0.00042034886,0.000439412,0.0000098966,0.00014217924,0.00007639466,0.000013650514],"category_scores_gemma":[0.00005138966,0.0001412864,0.0001163202,0.0015266861,0.00017279801,0.00013156018,0.000004034114,0.00015669594,0.0000047988133],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015200238,0.00023285758,0.7827786,0.00024583057,0.0001381486,0.00060169544,0.18835042,0.0018835912,0.0004862311,0.024337145,0.00009570214,0.00069773063],"study_design_scores_gemma":[0.0025119297,0.00033247026,0.8779135,0.0002941663,0.00015203106,0.0000051536917,0.101342194,0.00032347345,0.0012545269,0.01373454,0.001446541,0.00068948837],"about_ca_topic_score_codex":0.060219042,"about_ca_topic_score_gemma":0.29004553,"teacher_disagreement_score":0.22982648,"about_ca_system_score_codex":0.00026569562,"about_ca_system_score_gemma":0.0006635239,"threshold_uncertainty_score":0.946039},"labels":[],"label_agreement":null},{"id":"W4384565122","doi":"10.1016/j.cstp.2023.101051","title":"Rationale for governance and effective guidelines towards attainment of shared e-scooter micromobility benefits in Windsor, Ontario","year":2023,"lang":"en","type":"article","venue":"Case Studies on Transport Policy","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"TRIPS architecture; Windsor; Downtown; Geography; Population; Demography; Mediation; Socioeconomics; Transport engineering; Demographic economics; Engineering; Environmental science; Economics; Sociology","score_opus":0.07917249986239935,"score_gpt":0.3845978819308261,"score_spread":0.30542538206842673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384565122","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947272,0.00044727942,0.0000070016763,0.00228311,0.00013468988,0.0014041458,0.0005061641,0.000036456237,0.00045396207],"genre_scores_gemma":[0.99818426,0.00023929476,0.00015160273,0.00018655368,0.00015313558,0.00029717386,0.000038967268,0.000010435268,0.00073857966],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984589,0.000038969323,0.0005237355,0.0004081095,0.0002514916,0.00031878293],"domain_scores_gemma":[0.9991817,0.00019559184,0.00012904644,0.00016775163,0.0002504968,0.00007541189],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009043791,0.0001739056,0.00039584783,0.000085939486,0.00025519083,0.000009307722,0.00011265112,0.000082250095,0.000021905438],"category_scores_gemma":[0.00025160107,0.000157498,0.00012490542,0.00041958547,0.00035067362,0.00016115703,0.000014272286,0.00009340349,0.0000015071361],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00053963455,0.00032409347,0.8068876,0.0005367271,0.00022064468,0.00022842432,0.16977811,0.00031151835,0.00012908246,0.0049485182,0.0006930342,0.015402587],"study_design_scores_gemma":[0.0010715799,0.00012516136,0.98936796,0.00013114446,0.000040269017,0.0000015087007,0.0037105316,0.000006237537,0.0006626083,0.001145243,0.003541426,0.00019633009],"about_ca_topic_score_codex":0.05639559,"about_ca_topic_score_gemma":0.5935095,"teacher_disagreement_score":0.5371139,"about_ca_system_score_codex":0.00037245295,"about_ca_system_score_gemma":0.00035851006,"threshold_uncertainty_score":0.94988793},"labels":[],"label_agreement":null},{"id":"W4384696140","doi":"10.22215/etd/2023-15546","title":"Releasing the Heart of Vanier: Creating Affordable Housing and Interconnected Public Spaces from Underutilized Public Assets","year":2023,"lang":"en","type":"dissertation","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University","funders":"","keywords":"Redevelopment; Affordable housing; Public housing; Subsidy; Stock (firearms); Business; Subsidized housing; Finance; Urban regeneration; Pedestrian; Environmental planning; Economic growth; Geography; Transport engineering; Engineering; Economics; Civil engineering","score_opus":0.056828521460665436,"score_gpt":0.33007650465581584,"score_spread":0.2732479831951504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384696140","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9761396,0.0006631329,0.00004307411,0.0014093457,0.0006004077,0.00039775984,0.000020538091,0.0002819208,0.020444227],"genre_scores_gemma":[0.99424255,0.00018094687,0.00043231514,0.000039540177,0.00015407022,0.0000138520145,0.00045459802,0.00004181252,0.0044402876],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99766725,0.00031860344,0.00051912287,0.0004910868,0.0005449142,0.0004590127],"domain_scores_gemma":[0.9979066,0.0009904206,0.00038532508,0.00029690223,0.00029111473,0.00012962414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008919636,0.00024287704,0.0004898534,0.00017921116,0.00092769816,0.0008768176,0.00039823222,0.00033987736,0.0005225626],"category_scores_gemma":[0.0010715013,0.00018294064,0.00014756845,0.0008152885,0.00026481293,0.0007175687,0.000036855083,0.00035789356,0.000005452355],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015477858,0.00024109047,0.8758142,0.0004445267,0.00049489323,0.0000069899797,0.08523195,0.0000011460903,0.0026912862,0.010703329,0.0013989611,0.022816816],"study_design_scores_gemma":[0.00075380114,0.00005203615,0.66721064,0.00072044623,0.00026837332,2.1209209e-7,0.30316266,0.00025150692,0.0009825527,0.018075213,0.0077441675,0.0007784068],"about_ca_topic_score_codex":0.054482527,"about_ca_topic_score_gemma":0.35551006,"teacher_disagreement_score":0.3010275,"about_ca_system_score_codex":0.00008218939,"about_ca_system_score_gemma":0.00058487157,"threshold_uncertainty_score":0.95181376},"labels":[],"label_agreement":null},{"id":"W4384823741","doi":"10.1080/23249935.2023.2236235","title":"Exploring the joint impacts of income, car ownership, and built environment on daily activity patterns: a cluster analysis of trip chains","year":2023,"lang":"en","type":"article","venue":"Transportmetrica A Transport Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; The Scarborough Hospital; University of Toronto","funders":"","keywords":"TRIPS architecture; Public transport; Equity (law); Business; Mode choice; Car ownership; Travel behavior; Destinations; Work (physics); Built environment; Household income; Transport engineering; Public economics; Economics; Geography; Tourism; Engineering","score_opus":0.10711408885250943,"score_gpt":0.3045983004793494,"score_spread":0.19748421162683993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384823741","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969184,0.00006419606,0.0009361837,0.00064528495,0.00013862496,0.0006236963,0.0002512487,0.00008551819,0.00033688408],"genre_scores_gemma":[0.9987909,0.0009134632,0.00005078592,0.000050954204,0.000031569813,0.000050384642,0.000019458246,0.000016896669,0.000075555705],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9953418,0.000121745055,0.00082704617,0.0008325353,0.0020710523,0.00080583367],"domain_scores_gemma":[0.9980141,0.00035116175,0.00039344505,0.0007541047,0.00010833126,0.00037886202],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00425443,0.00030201944,0.00079896953,0.0021895207,0.0006212712,0.000033361463,0.00093292346,0.00009333531,0.00009114921],"category_scores_gemma":[0.00008885727,0.00021512649,0.00045579462,0.014138984,0.0024206121,0.0009006739,0.000020781603,0.0003042149,0.0000026807575],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013342824,0.00022738003,0.974129,0.000102097845,0.00017723616,0.000016071192,0.01822709,0.0006699347,0.0024981922,0.000291514,0.0000011692032,0.00352685],"study_design_scores_gemma":[0.00042413914,0.00013515826,0.99205714,0.000056650526,0.0006061015,1.0348865e-7,0.0013572276,0.0002417349,0.0047434433,0.000036039255,0.00010108544,0.00024118931],"about_ca_topic_score_codex":0.008496458,"about_ca_topic_score_gemma":0.005891309,"teacher_disagreement_score":0.01792809,"about_ca_system_score_codex":0.00013631981,"about_ca_system_score_gemma":0.0003044887,"threshold_uncertainty_score":0.99810606},"labels":[],"label_agreement":null},{"id":"W4384929915","doi":"10.3390/ijgi12070288","title":"A Novel Method for Extracting and Analyzing the Geometry Properties of the Shortest Pedestrian Paths Focusing on Open Geospatial Data","year":2023,"lang":"en","type":"article","venue":"ISPRS International Journal of Geo-Information","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Pedestrian; Geospatial analysis; Computer science; Traverse; Metric (unit); Sinuosity; Similarity (geometry); Routing (electronic design automation); Hausdorff distance; Transport engineering; Geography; Data mining; Artificial intelligence; Geometry; Cartography; Mathematics; Engineering; Computer network; Image (mathematics)","score_opus":0.10912171478053669,"score_gpt":0.39815601998939876,"score_spread":0.2890343052088621,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384929915","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91143143,0.00006542283,0.076039314,0.009384777,0.0015675653,0.0006599198,0.00020688196,0.000015283333,0.00062939385],"genre_scores_gemma":[0.9969623,0.00003461991,0.0024963464,0.00013968561,0.0003109994,0.0000038768817,0.00002432385,0.0000034872508,0.000024360072],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9985579,0.00006656434,0.00058380107,0.000074448595,0.0005897328,0.0001275041],"domain_scores_gemma":[0.9980835,0.00033428584,0.0008329635,0.00016788187,0.00054708915,0.000034282562],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038082716,0.00007182862,0.00013287578,0.00015819502,0.0004482348,0.00046806358,0.0014415329,0.00004668389,0.000011765947],"category_scores_gemma":[0.0016933839,0.00004179097,0.000072039715,0.0002693812,0.000086844935,0.0037883609,0.00020806579,0.00017246962,9.468778e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011451901,0.00021749313,0.17306073,0.0001350147,0.00060100853,0.000002700303,0.048897445,0.0024537619,0.0054357857,0.00456212,0.0014916761,0.76199704],"study_design_scores_gemma":[0.005766551,0.00033457085,0.75791246,0.0019686783,0.0005304435,0.000049686856,0.06397259,0.08335665,0.009119003,0.0053447485,0.07088334,0.00076124683],"about_ca_topic_score_codex":0.0017870076,"about_ca_topic_score_gemma":0.0006619594,"teacher_disagreement_score":0.76123583,"about_ca_system_score_codex":0.000061622486,"about_ca_system_score_gemma":0.0002587735,"threshold_uncertainty_score":0.45135477},"labels":[],"label_agreement":null},{"id":"W4384937561","doi":"10.1016/j.tranpol.2023.07.018","title":"Impact of the COVID-19 pandemic on the comfort of riding a crowded bus in Metro Vancouver, Canada","year":2023,"lang":"en","type":"article","venue":"Transport Policy","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Crowding; Public transport; Pandemic; Business; Coronavirus disease 2019 (COVID-19); Revenue; Flexibility (engineering); Transport engineering; Psychological intervention; Engineering; Finance; Psychology; Medicine; Economics","score_opus":0.0698379824003505,"score_gpt":0.37118612807683116,"score_spread":0.30134814567648066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384937561","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99500036,0.000016482622,0.000005098236,0.001285876,0.00017502191,0.00034643404,0.00018796303,0.00003676088,0.0029460115],"genre_scores_gemma":[0.99910516,0.000026979971,0.0000016001217,0.00037453213,0.000066940665,0.00001121318,0.0000069068305,0.000009805981,0.00039687857],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99836624,0.000110488625,0.00040823637,0.00018153488,0.0005359037,0.00039758373],"domain_scores_gemma":[0.9990043,0.00032583054,0.00016720344,0.00033288627,0.000035689904,0.00013411288],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010370304,0.00012763131,0.00027804286,0.00012544941,0.000233736,0.000005003918,0.0006072272,0.00007378381,0.00015716764],"category_scores_gemma":[0.00018073035,0.00007463888,0.00022093873,0.0019801464,0.00035141,0.00007449556,0.000008706545,0.00019737451,6.4483817e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004245889,0.000035662033,0.99255365,0.000028196251,0.000025092393,0.000004515905,0.004195473,0.00050475536,0.00007863779,0.0010185208,0.0014225809,0.00009043926],"study_design_scores_gemma":[0.00034014264,0.000020316897,0.99449366,0.00002113513,0.000019028836,4.0064783e-8,0.0013592299,0.000009882903,0.00012258692,0.0011151988,0.002408122,0.00009064492],"about_ca_topic_score_codex":0.98005587,"about_ca_topic_score_gemma":0.99740183,"teacher_disagreement_score":0.017345952,"about_ca_system_score_codex":0.0006255773,"about_ca_system_score_gemma":0.005301744,"threshold_uncertainty_score":0.9405067},"labels":[],"label_agreement":null},{"id":"W4385257713","doi":"10.32866/001c.84337","title":"Transportation Access Index for Remote Communities That Considers Modal Seasonality","year":2023,"lang":"en","type":"article","venue":"Findings","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Seasonality; Index (typography); Modal; Geography; Transport engineering; Environmental resource management; Computer science; Environmental science; Engineering; World Wide Web","score_opus":0.133754165574772,"score_gpt":0.38309110459199136,"score_spread":0.24933693901721937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385257713","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9938365,0.000015362131,0.0011977365,0.0020196626,0.00027165865,0.00040109438,0.00017092633,0.00027500285,0.0018120536],"genre_scores_gemma":[0.9982601,0.000021935783,0.000098371536,0.00022141747,0.000084423526,0.000018821776,0.00028665856,0.000012271331,0.000996047],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99891686,0.000060229013,0.00017380185,0.00016876539,0.00033698857,0.00034333064],"domain_scores_gemma":[0.9993145,0.00029315247,0.000068407055,0.00014893844,0.000087489956,0.00008750023],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008483311,0.000101605256,0.00015856944,0.000059712926,0.0008073717,0.00016106847,0.00038499467,0.00012138793,0.00023689521],"category_scores_gemma":[0.00004809167,0.000105841325,0.00011371924,0.0003903396,0.00032773538,0.0006392079,0.000010080816,0.00013157446,0.000011917232],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003993806,0.000013471764,0.9754608,0.000052246116,0.000015043749,0.000001993291,0.019434398,0.000016895381,0.000010452223,0.0019495179,0.0018911135,0.0011141096],"study_design_scores_gemma":[0.00034023818,0.000009326901,0.960487,0.000028765518,0.00002068202,3.185057e-8,0.008673803,0.00037135213,0.00017600543,0.021455716,0.008281989,0.0001550748],"about_ca_topic_score_codex":0.014499261,"about_ca_topic_score_gemma":0.03744816,"teacher_disagreement_score":0.0229489,"about_ca_system_score_codex":0.000054329383,"about_ca_system_score_gemma":0.00014104546,"threshold_uncertainty_score":0.9920633},"labels":[],"label_agreement":null},{"id":"W4385258550","doi":"10.1080/1088937x.2023.2238792","title":"A comparison of remoteness indices","year":2023,"lang":"en","type":"article","venue":"Polar Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"National Research Council Canada; Mitacs","keywords":"Geography; Statistics; Mathematics","score_opus":0.03936036419249875,"score_gpt":0.36923174945464404,"score_spread":0.3298713852621453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385258550","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99075687,0.00041407478,0.000029259065,0.00026837384,0.00018871488,0.000098953606,0.000018687237,0.00015603911,0.00806901],"genre_scores_gemma":[0.99969846,0.00003845756,0.00007660158,0.000020998374,0.00006633024,0.0000022764586,0.000018465373,0.000004610667,0.00007382642],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990535,0.00006814251,0.00018861874,0.0001448178,0.00031374453,0.00023121809],"domain_scores_gemma":[0.999583,0.000060469793,0.0000902665,0.00014417527,0.00005262408,0.00006944256],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005424909,0.000058220674,0.00016055958,0.00022056923,0.00025382175,0.000024366798,0.0002628309,0.000067331566,0.000106867155],"category_scores_gemma":[0.000033313216,0.000055147935,0.00012674037,0.0014930059,0.00029700808,0.00014130372,0.000016756368,0.00007892545,0.000027457469],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000048957663,0.000041631763,0.99157506,0.000017901355,0.000012884761,8.7835156e-7,0.004517148,0.0000010922724,0.000084370855,0.00037306963,0.00019902202,0.0031720179],"study_design_scores_gemma":[0.00007344622,0.000012655285,0.9810218,0.000011415797,0.000013817023,8.314881e-9,0.0019126551,0.00001093987,0.00032176997,0.0022015271,0.014351974,0.000067960194],"about_ca_topic_score_codex":0.00771433,"about_ca_topic_score_gemma":0.0030856605,"teacher_disagreement_score":0.0141529525,"about_ca_system_score_codex":0.00000443629,"about_ca_system_score_gemma":0.00003808365,"threshold_uncertainty_score":0.9988934},"labels":[],"label_agreement":null},{"id":"W4385420662","doi":"10.18280/ijsdp.180735","title":"Performing Structural Equation Modeling in Public Transport Through COVID-19 Pandemic Time","year":2023,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Structural equation modeling; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Computer science; Virology; Mathematics; Medicine; Statistics; Outbreak; Infectious disease (medical specialty)","score_opus":0.11375010253639956,"score_gpt":0.35597854280356644,"score_spread":0.2422284402671669,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385420662","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99443233,0.00014116625,0.0034002713,0.00079363777,0.00019684024,0.00008715298,0.0000011194973,0.000031181906,0.0009162758],"genre_scores_gemma":[0.99844843,0.0000463983,0.00060330075,0.00009815915,0.00016668269,0.0000026772618,0.000034740646,0.0000054233888,0.00059416884],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9985456,0.000040994833,0.00046033514,0.000121604506,0.00054031564,0.0002911774],"domain_scores_gemma":[0.99925506,0.00010704245,0.00016601582,0.000026950129,0.00033431366,0.000110592424],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018518427,0.00008425551,0.00013939229,0.00038479047,0.00033030618,0.000107126885,0.0002506878,0.000066502114,0.00008275032],"category_scores_gemma":[0.00029600697,0.00007888013,0.000034851586,0.0003338875,0.000045500245,0.0013377311,0.000021405458,0.0001811972,0.000001987718],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007012235,0.000008447114,0.8860713,0.000024555286,0.000035475154,0.00063424296,0.10338968,0.0065368465,0.000010175635,0.0011165909,0.000025340345,0.0020771748],"study_design_scores_gemma":[0.0032191342,0.000048398328,0.3686097,0.00034079823,0.000034249275,0.000049459642,0.49160442,0.05816788,0.000042056723,0.044172008,0.03294999,0.0007618814],"about_ca_topic_score_codex":0.0003995956,"about_ca_topic_score_gemma":0.00010397051,"teacher_disagreement_score":0.51746166,"about_ca_system_score_codex":0.0004703105,"about_ca_system_score_gemma":0.0011063508,"threshold_uncertainty_score":0.32166383},"labels":[],"label_agreement":null},{"id":"W4385507719","doi":"10.32920/23843856.v1","title":"Introduction: Transport and land use in childhood","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"","keywords":"Politics; Land use; Environmental planning; Political science; Natural resource economics; Economic growth; Public economics; Geography; Regional science; Economics; Engineering; Civil engineering; Law","score_opus":0.037789961138828626,"score_gpt":0.2907655786141974,"score_spread":0.2529756174753688,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385507719","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98959774,0.00008843578,0.00005248659,0.006036683,0.00086106936,0.00035799487,0.000027105396,0.00021235875,0.002766099],"genre_scores_gemma":[0.9897636,0.00029602824,0.00020669219,0.000046348814,0.0011847714,0.00002049561,0.000081641156,0.000012815407,0.008387581],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99870455,0.00005325488,0.00025899924,0.0005314345,0.00022733207,0.0002244532],"domain_scores_gemma":[0.99955326,0.000041242165,0.0000497668,0.00023597528,0.00003399488,0.000085734624],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005926814,0.00013192848,0.00023740575,0.00010158745,0.00011888623,0.00009140498,0.00017600118,0.0002545856,0.00048336803],"category_scores_gemma":[0.000045283345,0.00012336455,0.00006064357,0.00020816163,0.0001815972,0.00022136181,0.000040643874,0.00040728864,0.000014866579],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005746887,0.000047157555,0.9948842,0.000029595747,0.00000966198,0.000009315133,0.0036282516,0.000017017483,3.26745e-7,0.0004391502,0.000590504,0.0003390904],"study_design_scores_gemma":[0.00013227056,0.0000036834072,0.9861583,0.000023610753,0.000015289996,7.48006e-8,0.00031819227,0.0000030386816,0.0000026149985,0.0046510543,0.008539707,0.00015212265],"about_ca_topic_score_codex":0.038313918,"about_ca_topic_score_gemma":0.26976004,"teacher_disagreement_score":0.23144612,"about_ca_system_score_codex":0.000039412535,"about_ca_system_score_gemma":0.0001710233,"threshold_uncertainty_score":0.96809006},"labels":[],"label_agreement":null},{"id":"W4385507726","doi":"10.32920/23843862.v1","title":"Past and present of active school transportation: An exploration of the built environment effects in Toronto, Canada from 1986 to 2006","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"University of Toronto","keywords":"Context (archaeology); Odds; Psychological intervention; Built environment; Travel behavior; Nested logit; Demographic economics; Geography; Cycling; Demography; Logistic regression; Psychology; Socioeconomics; Transport engineering; Sociology; Economics; Engineering; Mathematics; Econometrics; Statistics","score_opus":0.03242746617799602,"score_gpt":0.29520014763791724,"score_spread":0.2627726814599212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385507726","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99636126,0.000106830266,0.00038366718,0.0008361011,0.00027158903,0.0010727408,0.00041545185,0.000010693752,0.00054169697],"genre_scores_gemma":[0.9991931,0.00005090633,0.00015576628,0.000024729647,0.00010043212,0.00009111375,0.00009710192,0.00000735253,0.00027954657],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99858636,0.00014093146,0.00032470952,0.00033397228,0.00048308278,0.00013096712],"domain_scores_gemma":[0.999329,0.00008682664,0.00015567477,0.0002882196,0.000032316322,0.00010801131],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019861966,0.00011940604,0.00023834899,0.000018067356,0.000060711453,0.00001433745,0.00027727906,0.00011264116,0.00022806741],"category_scores_gemma":[0.000019704956,0.000094789255,0.000042577245,0.00007298932,0.00008762663,0.00033231135,0.000033635337,0.00012754535,3.7835534e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008014835,0.00015234604,0.9689002,0.00014598205,0.00004885529,0.0000028259874,0.02436669,0.0021423753,0.00035933664,0.00021487722,0.00036791494,0.0032184292],"study_design_scores_gemma":[0.0001319829,0.000016087562,0.98968786,0.0000759166,0.000026138408,8.4924356e-10,0.006106429,0.000015350462,0.0019322735,0.0016794058,0.0002303153,0.00009824161],"about_ca_topic_score_codex":0.9955361,"about_ca_topic_score_gemma":0.999466,"teacher_disagreement_score":0.02078764,"about_ca_system_score_codex":0.0003948595,"about_ca_system_score_gemma":0.0004835167,"threshold_uncertainty_score":0.38653937},"labels":[],"label_agreement":null},{"id":"W4385507821","doi":"10.32920/23843862","title":"Past and present of active school transportation: An exploration of the built environment effects in Toronto, Canada from 1986 to 2006","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"University of Toronto","keywords":"Context (archaeology); Odds; Psychological intervention; Built environment; Demographic economics; Travel behavior; Geography; Nested logit; Cycling; Demography; Logistic regression; Psychology; Socioeconomics; Transport engineering; Sociology; Medicine; Economics; Engineering; Econometrics","score_opus":0.03242746617799602,"score_gpt":0.29520014763791724,"score_spread":0.2627726814599212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385507821","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99636126,0.000106830266,0.00038366718,0.0008361011,0.00027158903,0.0010727408,0.00041545185,0.000010693752,0.00054169697],"genre_scores_gemma":[0.9991931,0.00005090633,0.00015576628,0.000024729647,0.00010043212,0.00009111375,0.00009710192,0.00000735253,0.00027954657],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99858636,0.00014093146,0.00032470952,0.00033397228,0.00048308278,0.00013096712],"domain_scores_gemma":[0.999329,0.00008682664,0.00015567477,0.0002882196,0.000032316322,0.00010801131],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019861966,0.00011940604,0.00023834899,0.000018067356,0.000060711453,0.00001433745,0.00027727906,0.00011264116,0.00022806741],"category_scores_gemma":[0.000019704956,0.000094789255,0.000042577245,0.00007298932,0.00008762663,0.00033231135,0.000033635337,0.00012754535,3.7835534e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008014835,0.00015234604,0.9689002,0.00014598205,0.00004885529,0.0000028259874,0.02436669,0.0021423753,0.00035933664,0.00021487722,0.00036791494,0.0032184292],"study_design_scores_gemma":[0.0001319829,0.000016087562,0.98968786,0.0000759166,0.000026138408,8.4924356e-10,0.006106429,0.000015350462,0.0019322735,0.0016794058,0.0002303153,0.00009824161],"about_ca_topic_score_codex":0.9955361,"about_ca_topic_score_gemma":0.999466,"teacher_disagreement_score":0.02078764,"about_ca_system_score_codex":0.0003948595,"about_ca_system_score_gemma":0.0004835167,"threshold_uncertainty_score":0.38653937},"labels":[],"label_agreement":null},{"id":"W4385507887","doi":"10.32920/23843856","title":"Introduction: Transport and land use in childhood","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"","keywords":"Politics; Land use; Environmental planning; Political science; Economic growth; Natural resource economics; Geography; Regional science; Public economics; Economics; Engineering; Civil engineering","score_opus":0.037789961138828626,"score_gpt":0.2907655786141974,"score_spread":0.2529756174753688,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385507887","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98959774,0.00008843578,0.00005248659,0.006036683,0.00086106936,0.00035799487,0.000027105396,0.00021235875,0.002766099],"genre_scores_gemma":[0.9897636,0.00029602824,0.00020669219,0.000046348814,0.0011847714,0.00002049561,0.000081641156,0.000012815407,0.008387581],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99870455,0.00005325488,0.00025899924,0.0005314345,0.00022733207,0.0002244532],"domain_scores_gemma":[0.99955326,0.000041242165,0.0000497668,0.00023597528,0.00003399488,0.000085734624],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005926814,0.00013192848,0.00023740575,0.00010158745,0.00011888623,0.00009140498,0.00017600118,0.0002545856,0.00048336803],"category_scores_gemma":[0.000045283345,0.00012336455,0.00006064357,0.00020816163,0.0001815972,0.00022136181,0.000040643874,0.00040728864,0.000014866579],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005746887,0.000047157555,0.9948842,0.000029595747,0.00000966198,0.000009315133,0.0036282516,0.000017017483,3.26745e-7,0.0004391502,0.000590504,0.0003390904],"study_design_scores_gemma":[0.00013227056,0.0000036834072,0.9861583,0.000023610753,0.000015289996,7.48006e-8,0.00031819227,0.0000030386816,0.0000026149985,0.0046510543,0.008539707,0.00015212265],"about_ca_topic_score_codex":0.038313918,"about_ca_topic_score_gemma":0.26976004,"teacher_disagreement_score":0.23144612,"about_ca_system_score_codex":0.000039412535,"about_ca_system_score_gemma":0.0001710233,"threshold_uncertainty_score":0.96809006},"labels":[],"label_agreement":null},{"id":"W4385543160","doi":"10.1007/s10708-023-10925-3","title":"Spatial accessibility to hospitals in Southeast Iran: an enhanced two-step floating catchment area method","year":2023,"lang":"en","type":"article","venue":"GeoJournal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Mashhad University of Medical Sciences","keywords":"Catchment area; Population; Health care; Geography; Business; Environmental health; Resource (disambiguation); Medicine; Socioeconomics; Medical emergency; Drainage basin; Economic growth; Cartography; Computer science","score_opus":0.044196032758240106,"score_gpt":0.379063054636236,"score_spread":0.3348670218779959,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385543160","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9728467,0.000019367748,0.02028853,0.0010257054,0.00056178553,0.00044953954,0.000024187195,0.00014261866,0.004641571],"genre_scores_gemma":[0.99496394,0.000004798739,0.004014504,0.000099454526,0.0006176006,0.000023280014,0.000014162828,0.000015621732,0.0002466421],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968299,0.0004758232,0.0006344645,0.0005571344,0.00071991875,0.0007827405],"domain_scores_gemma":[0.9988059,0.00012836109,0.00017955528,0.00032617996,0.00012213421,0.00043788724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004730678,0.00019096513,0.0003432366,0.00019303818,0.00061248435,0.000226542,0.0006113289,0.000105211475,0.0006967744],"category_scores_gemma":[0.000254532,0.00017728131,0.0001273251,0.001018787,0.00009239436,0.0005971219,0.00007352681,0.00036319098,0.000082779465],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000091987305,0.00014799632,0.9030532,0.000016632568,0.000014289912,0.00003198635,0.027357237,0.00058266224,0.002339872,0.00008352559,0.00007019275,0.06621041],"study_design_scores_gemma":[0.000711922,0.00007106827,0.980224,0.00006796634,0.000016187932,4.1554583e-7,0.013385855,0.00093368394,0.0016623359,0.002396298,0.00021703381,0.000313196],"about_ca_topic_score_codex":0.016642664,"about_ca_topic_score_gemma":0.049585164,"teacher_disagreement_score":0.077170834,"about_ca_system_score_codex":0.00020428213,"about_ca_system_score_gemma":0.00024298823,"threshold_uncertainty_score":0.9899056},"labels":[],"label_agreement":null},{"id":"W4385568468","doi":"10.1002/9781394229024.ch5","title":"Designing Space for Walking as the Primary Mode of Travel","year":2023,"lang":"en","type":"other","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Walkability; Perspective (graphical); Space (punctuation); Perception; Built environment; Diversity (politics); Sociology; Relation (database); Mode (computer interface); Psychology; Geography; Architectural engineering; Computer science; Engineering; Human–computer interaction; Civil engineering; Artificial intelligence","score_opus":0.035067877105680004,"score_gpt":0.320470702717232,"score_spread":0.285402825611552,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385568468","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00016339989,0.00018498678,0.009548954,0.00047893636,0.0002551846,0.0006190253,0.000022749822,0.00023101851,0.98849577],"genre_scores_gemma":[0.013699718,0.00007573448,0.0025924202,0.000104320825,0.00037040052,0.000025387833,0.0000070601295,0.00020901728,0.98291594],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991747,0.00004004426,0.00014124409,0.0001924358,0.00024857465,0.0002029602],"domain_scores_gemma":[0.99940246,0.00024648814,0.0001286081,0.00016398828,0.000025256812,0.000033214554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047062864,0.000100446545,0.0002077293,0.000046832225,0.00014834624,0.00002342116,0.00032530766,0.00016724825,0.0008384024],"category_scores_gemma":[0.000057307454,0.00006658907,0.00012506156,0.00015013077,0.00018584369,0.00004285954,0.000011256701,0.000082413964,0.000012812981],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007005699,0.00015859625,0.017685775,0.00082985417,0.00035983213,0.0000060481593,0.036630567,0.000007285882,0.00084187504,0.07971408,0.83445626,0.029239781],"study_design_scores_gemma":[0.0006212142,0.000058626807,0.009100663,0.0005985706,0.0002690024,8.293889e-8,0.011773373,0.00003551054,0.0017485146,0.02400024,0.9510228,0.00077141996],"about_ca_topic_score_codex":0.017979847,"about_ca_topic_score_gemma":0.033111975,"teacher_disagreement_score":0.11656654,"about_ca_system_score_codex":0.000032473465,"about_ca_system_score_gemma":0.00020310294,"threshold_uncertainty_score":0.9885595},"labels":[],"label_agreement":null},{"id":"W4385581515","doi":"10.1080/17450101.2023.2242001","title":"Walking beyond the city? On the importance of recreational mobilities for landscape planning, urban design, and public policy","year":2023,"lang":"en","type":"article","venue":"Mobilities","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Mobilities; Recreation; Environmental planning; Urban planning; Urban design; Public participation; Urban landscape; Public transport; Sociology; Geography; Regional science; Political science; Transport engineering; Civil engineering; Public relations; Engineering; Social science","score_opus":0.0690808909631527,"score_gpt":0.3263047070613607,"score_spread":0.257223816098208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385581515","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98573774,0.0006598123,0.000088236746,0.006426672,0.000094930656,0.000756283,0.00006710528,0.00008746521,0.0060817497],"genre_scores_gemma":[0.9951469,0.00004442842,0.00005427326,0.000293232,0.00028618358,0.00029776298,0.000020555168,0.000009855633,0.0038468211],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986692,0.00018116013,0.00026133572,0.00022954973,0.00032383756,0.00033492758],"domain_scores_gemma":[0.9964562,0.003006282,0.000109432694,0.00025670993,0.00011990295,0.000051478662],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021298656,0.00011390938,0.00016063607,0.00008773081,0.0008823756,0.00011827384,0.000316975,0.00006652241,0.00015144727],"category_scores_gemma":[0.0009272006,0.00006758422,0.00008135562,0.00038496443,0.0009270822,0.00021723077,0.00003029267,0.0000990337,0.000001375437],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003965359,0.000029758698,0.78188336,0.000039927047,0.000025358424,3.3385152e-7,0.03310941,0.000015731142,0.0000129764385,0.17745477,0.0069402982,0.0004483914],"study_design_scores_gemma":[0.00034784182,0.00017446913,0.5697074,0.00006121117,0.000027780727,2.6557996e-7,0.11501093,0.00028769652,0.0002833851,0.28440875,0.029428974,0.00026132612],"about_ca_topic_score_codex":0.0006635166,"about_ca_topic_score_gemma":0.00066864595,"teacher_disagreement_score":0.21217601,"about_ca_system_score_codex":0.000039686733,"about_ca_system_score_gemma":0.00028995995,"threshold_uncertainty_score":0.67866087},"labels":[],"label_agreement":null},{"id":"W4385582136","doi":"10.1080/17450101.2023.2235088","title":"Introduction to the Special Section: Recreational mobilities in (and beyond) the compact city","year":2023,"lang":"en","type":"article","venue":"Mobilities","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Svenska Forskningsrådet Formas; McGill University","keywords":"Mobilities; Normative; Recreation; Scholarship; Sociology; Metropolitan area; Compact city; Urban planning; Environmental ethics; Political science; Geography; Social science; Law; Civil engineering; Engineering","score_opus":0.028123003754288393,"score_gpt":0.2927508913904546,"score_spread":0.26462788763616624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385582136","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93519974,0.000084549676,0.0000063955367,0.047430746,0.001711109,0.0004507114,0.000022649374,0.000085192885,0.015008908],"genre_scores_gemma":[0.9726214,0.000043140943,0.0000060225843,0.00020554854,0.0136717595,0.00006772808,0.000014335674,0.000005069809,0.013365042],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987517,0.0002227292,0.00020584463,0.00025176947,0.000323554,0.00024440183],"domain_scores_gemma":[0.9992398,0.00039526308,0.000031545627,0.00021711482,0.000068335765,0.000047914797],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0017273362,0.00008875998,0.00011796566,0.000070622234,0.0008408735,0.00013150493,0.00019888133,0.000052877476,0.0011214071],"category_scores_gemma":[0.0002616423,0.000056099707,0.000049174425,0.00061011873,0.0006512354,0.00025506553,0.000027376553,0.00016756923,0.000030435214],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001187891,0.000082876126,0.5988453,0.000028835017,0.00002146678,0.0000014289234,0.21370564,0.00057018304,0.000027281156,0.034276884,0.1486098,0.0037115288],"study_design_scores_gemma":[0.00006850401,0.000021773907,0.63705593,0.000003925745,0.0000037497919,2.2872848e-7,0.06349415,0.000017274875,0.000026670088,0.011852003,0.28738442,0.000071375376],"about_ca_topic_score_codex":0.005584847,"about_ca_topic_score_gemma":0.044751197,"teacher_disagreement_score":0.1502115,"about_ca_system_score_codex":0.00012049813,"about_ca_system_score_gemma":0.00010054052,"threshold_uncertainty_score":0.9997917},"labels":[],"label_agreement":null},{"id":"W4385606100","doi":"10.31235/osf.io/y246u","title":"Advances and pitfalls in measuring transportation equity","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Injustice; Equity (law); Inequality; Poverty; Public economics; Socioeconomic status; Economics; Business; Political science; Economic growth; Sociology","score_opus":0.11918740787222631,"score_gpt":0.3848439751974979,"score_spread":0.2656565673252716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385606100","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96810806,0.0011692995,0.0005988476,0.00077108387,0.00059620704,0.000466083,0.000027123953,0.00027279567,0.027990503],"genre_scores_gemma":[0.9968436,0.001873613,0.00028934574,0.000022660379,0.000108029206,0.000030601164,0.000033774875,0.000010254409,0.0007881456],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99855244,0.00006295904,0.00030775042,0.00043844356,0.00037525038,0.00026313553],"domain_scores_gemma":[0.9995749,0.000068047775,0.0000865824,0.00014201265,0.000045872643,0.00008256543],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010979285,0.0001284054,0.0002319268,0.00009185869,0.00013191462,0.00008862619,0.00025032574,0.00020967725,0.00009270579],"category_scores_gemma":[0.000046995923,0.00012716318,0.00005942839,0.00017658022,0.00016652838,0.0002926958,0.000042083146,0.00030513832,0.0000061189876],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011311631,0.000033295484,0.97271055,0.00034835158,0.0000058858113,0.000009956237,0.008370694,0.00009919293,0.000008986956,0.0017460715,0.000021362588,0.016634362],"study_design_scores_gemma":[0.00012761923,0.0000043714053,0.9265168,0.00014038256,0.000014387605,5.8391807e-9,0.0014511844,0.00002005049,0.00003549915,0.070102565,0.0013739497,0.00021318838],"about_ca_topic_score_codex":0.021137152,"about_ca_topic_score_gemma":0.44759208,"teacher_disagreement_score":0.42645493,"about_ca_system_score_codex":0.00007696484,"about_ca_system_score_gemma":0.00017721466,"threshold_uncertainty_score":0.9853812},"labels":[],"label_agreement":null},{"id":"W4385630365","doi":"10.1111/cag.12867","title":"Best practices for measuring community resources across Canada: A comparison of coding classifications","year":2023,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"Canadian Institutes of Health Research; Social Sciences and Humanities Research Council of Canada; Ontario Ministry of Research, Innovation and Science","keywords":"Recreation; Coding (social sciences); Data science; Resource (disambiguation); Context (archaeology); Government (linguistics); Computer science; Business; Geography; Political science; Sociology","score_opus":0.1134299697675825,"score_gpt":0.33408290036964045,"score_spread":0.22065293060205793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385630365","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9903302,0.0008292645,0.0000044284434,0.002488584,0.0006360402,0.0006718678,0.0012457306,0.0001390539,0.0036548327],"genre_scores_gemma":[0.9985998,0.00027746946,0.00006857903,0.000082352824,0.00013872213,0.00014604091,0.0002122658,0.000033435033,0.00044131334],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9967141,0.00029941133,0.0006446337,0.00040528027,0.00046998286,0.0014665868],"domain_scores_gemma":[0.9960719,0.0010938629,0.00063938636,0.0006143328,0.00060267694,0.0009778517],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0017205012,0.00027895355,0.0005094678,0.0011249633,0.00659372,0.00018663901,0.0010887828,0.0002000712,0.000028379047],"category_scores_gemma":[0.0012118347,0.00031631056,0.00026272144,0.0069805617,0.0023897758,0.00041753188,0.00004061677,0.00041112062,0.0000014962486],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002205719,0.000046792455,0.9478327,0.00016239229,0.0001481797,0.0000066990706,0.03590713,0.00002416523,0.000029757392,0.0026041165,0.0058379825,0.0073780073],"study_design_scores_gemma":[0.00020666143,0.00005174196,0.41381264,0.00008270817,0.00008130762,4.1911767e-7,0.34334403,0.000028027496,0.00004751244,0.00039222755,0.24157882,0.00037391236],"about_ca_topic_score_codex":0.99976003,"about_ca_topic_score_gemma":0.99999934,"teacher_disagreement_score":0.5340201,"about_ca_system_score_codex":0.00026170426,"about_ca_system_score_gemma":0.0010069964,"threshold_uncertainty_score":0.9999289},"labels":[],"label_agreement":null},{"id":"W4385641892","doi":"10.1007/978-981-99-2050-1_2","title":"Beyond COVID-19: Planning the Mobility and Cities Following “15-Minute City” Paradigm","year":2023,"lang":"en","type":"book-chapter","venue":"City development","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Solitude; Solidarity; Coronavirus disease 2019 (COVID-19); Urban planning; Geography; Political science; Economic growth; Environmental planning; Civil engineering; Engineering; Psychology; Medicine; Economics","score_opus":0.08268014251864912,"score_gpt":0.3205468610755856,"score_spread":0.23786671855693647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385641892","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25372955,0.003312106,0.0008090521,0.005842599,0.0031591519,0.0026555192,0.00015562326,0.0010253672,0.72931105],"genre_scores_gemma":[0.4367599,0.00020271426,0.0004303588,0.0017779751,0.0005052383,0.000126648,0.00017919541,0.00007424909,0.55994374],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9970429,0.000071088274,0.0006268863,0.00078258786,0.00090910954,0.00056741707],"domain_scores_gemma":[0.9982903,0.0005687451,0.00024754595,0.00040234407,0.000051910974,0.00043916897],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0024245065,0.000420715,0.0005447063,0.00012347054,0.0023372297,0.00026674932,0.0006193579,0.0004172143,0.00050414214],"category_scores_gemma":[0.00023180671,0.0003500665,0.00021249942,0.00012025928,0.00087740325,0.0002108015,0.00020020921,0.0005512892,0.000034472963],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001147208,0.00011666903,0.59946984,0.000754992,0.0011746399,0.00050430035,0.22399327,0.000019153724,0.0000029934572,0.14214621,0.01687521,0.014827969],"study_design_scores_gemma":[0.00032559273,0.000014107849,0.11265734,0.00021268196,0.0001171284,8.6964224e-7,0.0020491604,0.0000021778303,0.000010364879,0.18358664,0.7001996,0.00082434574],"about_ca_topic_score_codex":0.00070775446,"about_ca_topic_score_gemma":0.00638182,"teacher_disagreement_score":0.6833244,"about_ca_system_score_codex":0.00054604077,"about_ca_system_score_gemma":0.0019490817,"threshold_uncertainty_score":0.99989516},"labels":[],"label_agreement":null},{"id":"W4385748382","doi":"10.1016/j.trd.2023.103875","title":"Shifted out: The well-being and justice implications of evening and night commuting","year":2023,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; University of Toronto","keywords":"Evening; Immigration; Economic Justice; Poverty; Demographic economics; Race (biology); Indigenous; Inequality; Paradigm shift; Life satisfaction; Geography; Psychology; Socioeconomics; Gerontology; Demography; Political science; Sociology; Economic growth; Medicine; Social psychology; Gender studies; Economics","score_opus":0.07705382974233367,"score_gpt":0.3676403578554069,"score_spread":0.29058652811307323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385748382","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9920744,0.00030502197,0.00019758847,0.0045017432,0.000039975417,0.00049158325,0.000034594286,0.000050089762,0.0023050355],"genre_scores_gemma":[0.9956006,0.0035145956,0.000105422994,0.00003614363,0.000051965122,0.00006546584,0.00010848474,0.000013418612,0.0005039028],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982067,0.000116015595,0.00039360413,0.0003413995,0.0005241313,0.00041815455],"domain_scores_gemma":[0.9991864,0.00032876406,0.00006922458,0.00019986663,0.000037237656,0.0001784925],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002065539,0.00012326747,0.0001864667,0.00010149881,0.0013734329,0.00003207062,0.00016135072,0.000086836175,0.00013448663],"category_scores_gemma":[0.000010437979,0.000102491365,0.000042615833,0.00032323692,0.0011728848,0.00020786539,0.0000074782633,0.00027999652,0.000006014602],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000292012,0.000039926377,0.952223,0.00013143789,0.000026232628,0.00000561965,0.038790386,0.000052807514,0.00020300137,0.0065652123,0.000050034276,0.0018831528],"study_design_scores_gemma":[0.00027368247,0.000027626324,0.9745526,0.00004095838,0.000085852866,9.415613e-8,0.0061412766,0.00005663203,0.00008260724,0.0033147351,0.015312686,0.00011128614],"about_ca_topic_score_codex":0.001193801,"about_ca_topic_score_gemma":0.005339433,"teacher_disagreement_score":0.03264911,"about_ca_system_score_codex":0.000019011148,"about_ca_system_score_gemma":0.000041518186,"threshold_uncertainty_score":0.9999266},"labels":[],"label_agreement":null},{"id":"W4385753284","doi":"10.1016/j.habitatint.2023.102899","title":"The temporal sequence between gentrification and cycling infrastructure expansions in Montreal, Canada","year":2023,"lang":"en","type":"article","venue":"Habitat International","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University; Simon Fraser University; University of Saskatchewan; Université de Montréal","funders":"Canadian Institutes of Health Research","keywords":"Gentrification; Cycling; Census; Logistic regression; Equity (law); Green infrastructure; Geography; Economic geography; Demographic economics; Demography; Economics; Economic growth; Political science; Population; Environmental planning; Sociology; Statistics; Mathematics","score_opus":0.029117362390768613,"score_gpt":0.31380131196567457,"score_spread":0.28468394957490595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385753284","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9918248,0.000038807168,0.000028431356,0.0057433126,0.00032136453,0.00009685731,0.00004881694,0.000025433277,0.0018721927],"genre_scores_gemma":[0.99894327,0.00006529034,0.000039703395,0.000050843497,0.00015008856,0.0000105349845,0.000078334044,0.0000029721596,0.0006589815],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991998,0.00004279195,0.0001673077,0.00013863826,0.0003010693,0.00015036314],"domain_scores_gemma":[0.9995399,0.000231807,0.0000493344,0.000070495655,0.00005719399,0.000051280105],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033727757,0.00004864486,0.000053935484,0.000040364146,0.0003289899,0.00006956765,0.00021948389,0.000034639455,0.000029705358],"category_scores_gemma":[0.00016051122,0.000038687103,0.000015061975,0.00020530805,0.000119175194,0.00015852295,0.000017994713,0.00009929574,0.0000036961515],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000026321766,0.0000020879252,0.9921363,0.0000011278611,0.0000047918443,0.0000038468115,0.0011687732,0.000027370737,0.00002436917,0.00055207685,0.0018973597,0.0041792914],"study_design_scores_gemma":[0.000075034106,0.0000014940475,0.9813532,0.0000075842063,0.0000019594952,7.71504e-8,0.0017300944,0.00023918046,0.000010528315,0.0045933872,0.011942977,0.00004443621],"about_ca_topic_score_codex":0.628755,"about_ca_topic_score_gemma":0.9760868,"teacher_disagreement_score":0.34733182,"about_ca_system_score_codex":0.00013669096,"about_ca_system_score_gemma":0.0002758146,"threshold_uncertainty_score":0.3737172},"labels":[],"label_agreement":null},{"id":"W4385763651","doi":"10.1016/j.apgeog.2023.103063","title":"Aging in place, stranded in space: An analysis of health care access via public transportation in Elliot Lake","year":2023,"lang":"en","type":"article","venue":"Applied Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Public transport; Geography; Public health; Audit; Population; Health care; Gerontology; Environmental health; Socioeconomics; Business; Medicine; Transport engineering; Economic growth; Sociology; Engineering; Nursing","score_opus":0.02401079933220643,"score_gpt":0.33263615510452527,"score_spread":0.30862535577231887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385763651","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99803185,0.000105695464,0.000102804865,0.00040331893,0.000034710927,0.0004692769,0.000052260206,0.000069286165,0.0007308032],"genre_scores_gemma":[0.999058,0.00008440249,0.000034872162,0.000045997476,0.0000122857555,0.000051854455,0.00070150726,0.000008418418,0.0000026260404],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980306,0.00013167105,0.0005747772,0.00041183003,0.0003830538,0.00046805298],"domain_scores_gemma":[0.99944323,0.00006210716,0.00015990215,0.00020055255,0.000040126662,0.000094093135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014049103,0.0001266327,0.0004384864,0.0026377384,0.000108845525,0.000058074027,0.00034997737,0.0001119216,0.00007841769],"category_scores_gemma":[0.0000044689195,0.0001398681,0.00012698822,0.01398446,0.00013959699,0.00040959526,0.0000058171945,0.00018416745,6.953931e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024557072,0.000107418055,0.9729436,0.00005290376,0.000028179853,0.0000028186985,0.020104432,0.0021617187,0.000008928569,0.0004978083,0.0000023354553,0.004065305],"study_design_scores_gemma":[0.0005246377,0.00001050906,0.9888897,0.000013708352,0.000028940069,1.623794e-9,0.009293815,0.00012709599,0.000018776207,0.0008277809,0.00013533409,0.0001296867],"about_ca_topic_score_codex":0.027090184,"about_ca_topic_score_gemma":0.8936427,"teacher_disagreement_score":0.86655253,"about_ca_system_score_codex":0.00004840031,"about_ca_system_score_gemma":0.00014683494,"threshold_uncertainty_score":0.97938854},"labels":[],"label_agreement":null},{"id":"W4385827520","doi":"10.1007/s11524-023-00775-2","title":"Urban Form Metrics for Promoting Walking: Street Layouts and Destinations","year":2023,"lang":"en","type":"article","venue":"Journal of Urban Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Alberta Cancer Foundation; Canadian Institutes of Health Research; Japan Society for the Promotion of Science; Health Canada; Partenariat Canadien Contre Le Cancer; Alberta Health Services","keywords":"Destinations; Space syntax; Space (punctuation); Transport engineering; Mediation; Built environment; Structural equation modeling; Walkability; Sample (material); Geography; Psychology; Computer science; Statistics; Engineering; Mathematics; Civil engineering; Sociology; Tourism","score_opus":0.06516472692186263,"score_gpt":0.3738697896891842,"score_spread":0.30870506276732157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385827520","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99009925,0.0011021217,0.00075961236,0.006514632,0.00048735726,0.00045722435,0.000027210843,0.00006285951,0.0004897351],"genre_scores_gemma":[0.997126,0.00013968839,0.0016409812,0.0001355275,0.0005523356,0.000004169844,0.000005614193,0.000010661396,0.00038504225],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99847245,0.00008427666,0.00054163014,0.00012860875,0.00039492315,0.0003781187],"domain_scores_gemma":[0.9983802,0.00042596794,0.00053183653,0.00007704338,0.00029428708,0.00029068868],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036047124,0.000080793805,0.00024306256,0.00028400673,0.0006939344,0.00007694352,0.00018688213,0.000058771788,0.000008835029],"category_scores_gemma":[0.0009407766,0.000070051785,0.00009081387,0.00090402586,0.000080724,0.0003979298,0.000013851589,0.00017774245,9.047839e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013296276,0.000072211136,0.94283533,0.00014028471,0.000016488639,0.0000050135263,0.01917172,0.0000010998618,0.000006124744,0.00229578,0.018145962,0.01729667],"study_design_scores_gemma":[0.0012618084,0.0007241581,0.9071078,0.00024104147,0.0000602812,0.0000031950992,0.007650119,0.00045909273,0.000040223058,0.009722518,0.07248115,0.00024866342],"about_ca_topic_score_codex":0.00031429046,"about_ca_topic_score_gemma":0.0015583183,"teacher_disagreement_score":0.054335188,"about_ca_system_score_codex":0.00017023007,"about_ca_system_score_gemma":0.0006774797,"threshold_uncertainty_score":0.53372526},"labels":[],"label_agreement":null},{"id":"W4385913134","doi":"10.1016/j.tra.2023.103788","title":"Scaling up active transportation across North America: A comparative content analysis of policies through a social equity framework","year":2023,"lang":"en","type":"article","venue":"Transportation Research Part A Policy and Practice","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; McGill University","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Fonds de Recherche du Québec-Société et Culture; U.S. Department of Transportation","keywords":"Equity (law); Business; Public economics; Government (linguistics); Economics; Political science","score_opus":0.4942099484869579,"score_gpt":0.5904657813436628,"score_spread":0.09625583285670491,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385913134","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98766786,0.00006993638,0.0011524977,0.006367419,0.00006880526,0.0005809871,0.0018771688,0.00010697759,0.002108328],"genre_scores_gemma":[0.9973061,0.00076810474,0.00021487697,0.0002808888,0.00023667917,0.00009987442,0.0007994047,0.000012362649,0.00028171347],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99568444,0.0009665154,0.0006602718,0.00046775065,0.0013960322,0.0008249565],"domain_scores_gemma":[0.99375314,0.004456067,0.00039309918,0.00018590836,0.0010133388,0.00019842926],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0023934664,0.00018702021,0.0005639895,0.00039956946,0.0016653754,0.00013398172,0.00028333045,0.00018537081,0.00010898839],"category_scores_gemma":[0.001221996,0.00018729019,0.00023062248,0.0081579955,0.0017087489,0.001463998,0.000009505194,0.0005738644,0.000012534729],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013109756,0.00024034128,0.059743255,0.0000940585,0.0010146049,0.000012189135,0.89593166,0.0003656207,0.00010045097,0.036500152,0.0002695645,0.004417106],"study_design_scores_gemma":[0.0003314576,0.00005680749,0.79756814,0.000025791283,0.00041657843,2.6286068e-8,0.17494835,0.00005561889,0.0001070639,0.0021459432,0.024167389,0.00017683886],"about_ca_topic_score_codex":0.104390025,"about_ca_topic_score_gemma":0.10269578,"teacher_disagreement_score":0.73782486,"about_ca_system_score_codex":0.00010472111,"about_ca_system_score_gemma":0.0004835899,"threshold_uncertainty_score":0.9996343},"labels":[],"label_agreement":null},{"id":"W4386018754","doi":"10.1016/j.jtrangeo.2023.103681","title":"Pandemic-time bike lanes in three large Canadian urban centres- differences in use and public perception by socio-demographic groups and geographical contexts","year":2023,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University; University of Toronto; McGill University; Toronto Metropolitan University","funders":"","keywords":"Pandemic; Multinomial logistic regression; Odds; Geography; Population; Cycling; Socioeconomics; Coronavirus disease 2019 (COVID-19); Logistic regression; Poison control; Demography; Environmental health; Medicine; Sociology","score_opus":0.019085975917992402,"score_gpt":0.24348648141157309,"score_spread":0.22440050549358068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386018754","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965479,0.0013182341,0.000007902642,0.0015239815,0.00011960723,0.00025711363,0.00014464221,0.000042221665,0.000038425416],"genre_scores_gemma":[0.99622184,0.003473731,0.000018391705,0.00010766016,0.00007914296,0.000005790704,0.000061748586,0.000013874497,0.000017807362],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974487,0.00018613598,0.00069407496,0.00034482495,0.0005226738,0.0008036276],"domain_scores_gemma":[0.99882203,0.00016247777,0.00019634189,0.0001170536,0.000111219204,0.0005908564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017228362,0.00022827485,0.0005257307,0.0018304914,0.00034724126,0.00015598228,0.0002969765,0.00031047835,0.000118338736],"category_scores_gemma":[0.000035980298,0.000199944,0.0002430123,0.0018969873,0.00065803394,0.0010245999,0.000008709735,0.0005647211,0.0000012105638],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004382696,0.00011759931,0.99605155,0.00002213808,0.000043282642,0.00006988011,0.0026439251,1.5825138e-7,0.000038107657,0.00009881972,0.00014806172,0.0007226748],"study_design_scores_gemma":[0.0010327757,0.00006235582,0.9937713,0.0000794666,0.00004269269,0.0000021427097,0.001683661,0.000010039267,2.4873583e-7,0.0013846043,0.0017089117,0.0002217585],"about_ca_topic_score_codex":0.105923526,"about_ca_topic_score_gemma":0.80939937,"teacher_disagreement_score":0.70347583,"about_ca_system_score_codex":0.00003996873,"about_ca_system_score_gemma":0.00015843003,"threshold_uncertainty_score":0.9000302},"labels":[],"label_agreement":null},{"id":"W4386050914","doi":"10.1002/cjs.11714","title":"Issue Information","year":2023,"lang":"en","type":"paratext","venue":"Canadian Journal of Statistics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"McGill University","keywords":"Honour; Citation; Computer science; Library science; Political science; Law","score_opus":0.026171707698895513,"score_gpt":0.2948081383625024,"score_spread":0.2686364306636069,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386050914","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015983988,0.0023914364,0.03076839,0.004015518,0.078828886,0.00062176783,0.025277939,0.000029255967,0.8564684],"genre_scores_gemma":[0.0538101,0.002333655,0.0069313785,0.0014288928,0.010516204,0.000005631416,0.002299229,0.00009448993,0.9225804],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99869263,0.000057139125,0.00053430366,0.00005746518,0.00034080123,0.00031764832],"domain_scores_gemma":[0.997962,0.000104776904,0.0005066105,0.00009276192,0.0006461392,0.00068769953],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005127944,0.000108637214,0.0002546333,0.0003549698,0.00033992308,0.0002329883,0.0003843428,0.00021783174,0.011661275],"category_scores_gemma":[0.00039086243,0.0001100557,0.00006229089,0.00027074566,0.00024594038,0.00039606297,0.000003082684,0.00041107475,0.007607697],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000019917798,0.0000014421836,0.0005141513,0.000052239957,0.000021043285,0.000041408082,0.003887731,0.00001505464,3.1125168e-8,0.00076742226,0.988573,0.006124481],"study_design_scores_gemma":[0.00007655527,0.000020795922,0.0020390758,0.00008200584,0.00003585702,6.2781106e-7,0.0010951124,0.000002475048,5.7065716e-7,0.0010689911,0.99546105,0.00011690347],"about_ca_topic_score_codex":0.09801273,"about_ca_topic_score_gemma":0.45633316,"teacher_disagreement_score":0.35832042,"about_ca_system_score_codex":0.00032828786,"about_ca_system_score_gemma":0.009262329,"threshold_uncertainty_score":0.9963542},"labels":[],"label_agreement":null},{"id":"W4386090712","doi":"10.21203/rs.3.rs-3266946/v1","title":"Everything has changed: The impacts of the COVID-19 pandemic on the transit market in Montréal, Canada","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research; Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; McGill University; California HIV/AIDS Research Program","keywords":"Market segmentation; Telecommuting; Paratransit; Pandemic; Business; Coronavirus disease 2019 (COVID-19); Transit (satellite); Public transport; Mode choice; Demographic economics; Service (business); Marketing; Transport engineering; Economics; Engineering","score_opus":0.2365824583602078,"score_gpt":0.41838761450621165,"score_spread":0.18180515614600384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386090712","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8168752,0.0013214764,0.0000056931026,0.17607237,0.00042815565,0.0025815153,0.0003896759,0.000048665486,0.0022772488],"genre_scores_gemma":[0.9968701,0.0007897147,9.794813e-7,0.0006064729,0.00020399972,0.00016526635,0.000012403204,0.000021917287,0.0013291459],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99236375,0.0032275184,0.00038667803,0.00048323302,0.002714458,0.0008243861],"domain_scores_gemma":[0.99422187,0.004157072,0.00014754373,0.0010369308,0.0002101252,0.00022646596],"candidate_categories":["sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.014487518,0.00019640209,0.00030369745,0.00012719068,0.0017191416,0.00021164889,0.0022365754,0.00027249634,0.00038822723],"category_scores_gemma":[0.0037137838,0.00009655396,0.00019689601,0.0011535145,0.0010247692,0.000069531045,0.0003500708,0.0025617895,0.0000038147905],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017100376,0.000077084485,0.8443459,0.00071997836,0.00006425909,0.000046020443,0.05110041,0.00049702567,0.000016164036,0.0003559303,0.10208159,0.0005245994],"study_design_scores_gemma":[0.00029690957,0.00003129375,0.9070548,0.00081132667,0.000020567264,3.288213e-7,0.028036026,0.00018447595,0.000024812527,0.008839539,0.05445057,0.00024933802],"about_ca_topic_score_codex":0.9882168,"about_ca_topic_score_gemma":0.998828,"teacher_disagreement_score":0.1799949,"about_ca_system_score_codex":0.0015488977,"about_ca_system_score_gemma":0.009949519,"threshold_uncertainty_score":0.99973935},"labels":[],"label_agreement":null},{"id":"W4386093456","doi":"10.31219/osf.io/vys83","title":"Évaluation du projet pilote « Construis ton vélo! » par et pour les jeunes en milieu défavorisé : une intervention en milieu scolaire pour promouvoir la mobilité active","year":2023,"lang":"fr","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Montréal; Université de Montréal; Institut universitaire en santé mentale de Montréal; Institut Universitaire en Santé Mentale de Québec","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.054946258972785066,"score_gpt":0.3324002946222729,"score_spread":0.27745403564948784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386093456","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9586728,0.0004686131,0.0016239211,0.023057071,0.0019712218,0.004563662,0.00039923805,0.0006678312,0.008575635],"genre_scores_gemma":[0.9711674,0.0008722042,0.0029775372,0.00008065174,0.0010230518,0.00091484963,0.00065953104,0.00011045004,0.022194315],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9885893,0.0050552585,0.0018027774,0.0022053232,0.0013827144,0.00096464925],"domain_scores_gemma":[0.9954873,0.0016148094,0.0009938487,0.00086923846,0.00070577353,0.00032903475],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008119695,0.0010427287,0.0012476952,0.00030287282,0.000880136,0.00033996676,0.0012855626,0.0014419022,0.0013981345],"category_scores_gemma":[0.0008574355,0.0009856791,0.0010345116,0.0010505861,0.0013777476,0.0010487707,0.0005666319,0.0016123548,0.00030363878],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004356167,0.0025636554,0.81834817,0.0015076579,0.0006172591,0.000042671767,0.061751902,0.00038495124,0.00081706455,0.005558201,0.0014165051,0.10655635],"study_design_scores_gemma":[0.0015829606,0.00030291258,0.8881548,0.001625424,0.0006094517,0.000003985825,0.06121792,0.0017859509,0.004396951,0.035515714,0.0035372276,0.0012666993],"about_ca_topic_score_codex":0.12479471,"about_ca_topic_score_gemma":0.15104948,"teacher_disagreement_score":0.10528965,"about_ca_system_score_codex":0.0008636238,"about_ca_system_score_gemma":0.0021575687,"threshold_uncertainty_score":0.99985445},"labels":[],"label_agreement":null},{"id":"W4386175201","doi":"10.46298/cst.12006","title":"Measuring varied signs of urban sprawl with data from travel surveys and censuses: multi-perspective study of the Greater Montreal Area","year":2003,"lang":"en","type":"article","venue":"˜Les œCahiers scientifiques du transport","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal; Université Laval","funders":"","keywords":"Urban sprawl; Geography; Census; Regional science; Human settlement; Population; Perspective (graphical); Economic geography; Urban planning; Cartography; Sociology; Demography; Computer science; Archaeology","score_opus":0.08647860660031989,"score_gpt":0.2753588613217792,"score_spread":0.18888025472145933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386175201","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99011934,0.00013454584,0.0051952405,0.000039612452,0.0001587274,0.00093795534,0.0006089089,0.00004315298,0.0027625156],"genre_scores_gemma":[0.9989641,0.000014981588,0.00052857003,0.00000836622,0.000024077746,0.000011716335,0.000040185034,0.000021161413,0.00038689605],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99640065,0.00093199516,0.00051599654,0.0009144121,0.0008536301,0.00038332862],"domain_scores_gemma":[0.99803656,0.00013782359,0.00027199785,0.0009377483,0.00044885132,0.00016701415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003721862,0.00026155767,0.00048266735,0.00010723622,0.00068098813,0.000064069405,0.0009573847,0.00014311606,0.000087036875],"category_scores_gemma":[0.00009740439,0.0001802844,0.00009306848,0.000689341,0.0024072484,0.0005051079,0.000023404857,0.00024524587,3.401116e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000613541,0.00073132827,0.90086627,0.000022274713,0.0001309507,0.000010905761,0.097245105,0.000009268833,0.00062700885,0.00022448166,0.00001237679,0.000058692927],"study_design_scores_gemma":[0.0012172423,0.0000751377,0.9497039,0.00006513002,0.0002562613,2.696623e-7,0.045705304,0.000019739711,0.0024855668,0.00020360552,0.000039653038,0.00022823273],"about_ca_topic_score_codex":0.09405118,"about_ca_topic_score_gemma":0.37778124,"teacher_disagreement_score":0.28373006,"about_ca_system_score_codex":0.00009453302,"about_ca_system_score_gemma":0.00030332597,"threshold_uncertainty_score":0.9119816},"labels":[],"label_agreement":null},{"id":"W4386175484","doi":"10.1016/j.puhe.2023.07.031","title":"Validating the Perceived Active School Travel Enablers and Barriers – Child (PASTEB-C) questionnaire","year":2023,"lang":"en","type":"article","venue":"Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Children’s Health Research Institute; Lawson Health Research Institute; Western University","funders":"Canadian Institutes of Health Research; Children's Health Research Institute","keywords":"Cronbach's alpha; Confirmatory factor analysis; Thematic analysis; Psychological intervention; Psychology; Reliability (semiconductor); Applied psychology; Face validity; Construct validity; Scale (ratio); Intervention (counseling); Medical education; Qualitative research; Psychometrics; Clinical psychology; Medicine; Structural equation modeling; Computer science","score_opus":0.04674430592889155,"score_gpt":0.3287640423659972,"score_spread":0.28201973643710565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386175484","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8515059,0.00013631144,0.000089301575,0.1319752,0.00025957584,0.0005062873,0.00002106015,0.00023590597,0.015270447],"genre_scores_gemma":[0.99715483,0.00016782443,0.000022007609,0.0017945484,0.00025933512,0.00003116486,0.000015349136,0.000010331834,0.00054463005],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980461,0.000452126,0.00022711905,0.00029645368,0.00035810136,0.0006200866],"domain_scores_gemma":[0.99884766,0.000103529346,0.00010228088,0.00017453256,0.00007583717,0.0006961387],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002987554,0.00010069572,0.00015494325,0.00008163267,0.0025957506,0.00022621031,0.00025393718,0.000070148395,0.00023143913],"category_scores_gemma":[0.0010468448,0.00007579726,0.00004467462,0.00075857993,0.00036583233,0.0005576218,0.000025458128,0.00028933387,0.000024727553],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015079381,0.00005200165,0.67939377,0.00013771492,0.000052716212,0.0000038726002,0.21598613,0.000005620112,0.000018362594,0.010953233,0.005036149,0.08834536],"study_design_scores_gemma":[0.00016287794,0.000016756376,0.929283,0.000033489552,0.0000034960774,2.7477572e-7,0.056223832,0.00006766851,0.00000222587,0.0006286677,0.013482657,0.000095014344],"about_ca_topic_score_codex":0.012796996,"about_ca_topic_score_gemma":0.0071654483,"teacher_disagreement_score":0.24988927,"about_ca_system_score_codex":0.00021670133,"about_ca_system_score_gemma":0.0014774682,"threshold_uncertainty_score":0.9987027},"labels":[],"label_agreement":null},{"id":"W4386176231","doi":"10.46298/cst.12081","title":"Measuring the relationship between public transport share, urban sprawl and car ownership","year":2009,"lang":"en","type":"article","venue":"˜Les œCahiers scientifiques du transport","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"","keywords":"Urban sprawl; Car ownership; Transport engineering; Public transport; Geography; Variable (mathematics); Microdata (statistics); Population; Modal; Econometrics; Land use; Business; Computer science; Economic geography; Regional science; Economics; Engineering; Mathematics; Civil engineering; Sociology; Demography","score_opus":0.08650771706053259,"score_gpt":0.28210725345774235,"score_spread":0.19559953639720976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386176231","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97424656,0.0006147769,0.0015066009,0.006635553,0.00030478268,0.00072962866,0.00010160664,0.0004150223,0.0154454615],"genre_scores_gemma":[0.99565494,0.00005229412,0.00026192373,0.00027065704,0.00045972623,0.000025673247,0.0001660548,0.000028111977,0.0030806242],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99582434,0.000313504,0.0007343237,0.0009478087,0.0012289102,0.0009511213],"domain_scores_gemma":[0.9979768,0.0003595402,0.00020971861,0.00059356936,0.0002881904,0.0005721902],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.004811055,0.00037111327,0.0004315862,0.0002794321,0.0032945334,0.00032343765,0.0010543428,0.00040023602,0.00018100455],"category_scores_gemma":[0.00019834035,0.00029205083,0.00031255907,0.0013771644,0.0024300301,0.0013965874,0.0000074781333,0.00074577896,0.000012236765],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018331171,0.000064206964,0.9636842,0.00003912423,0.00002279828,0.00001567388,0.018598555,0.0000014573003,0.00003813402,0.015972394,0.00019695525,0.0013481417],"study_design_scores_gemma":[0.0003074383,0.000028447146,0.96828425,0.000069548485,0.00013712846,8.575452e-7,0.0015748746,0.000002773518,0.00013187224,0.0056453953,0.023422884,0.00039453767],"about_ca_topic_score_codex":0.001233618,"about_ca_topic_score_gemma":0.0098228175,"teacher_disagreement_score":0.023225928,"about_ca_system_score_codex":0.00020686367,"about_ca_system_score_gemma":0.00040000703,"threshold_uncertainty_score":0.99995315},"labels":[],"label_agreement":null},{"id":"W4386231531","doi":"10.1109/istas55053.2022.10227103","title":"Informing Government Decision-Making with Online Citizen Feedback and Social Media: Pedestrianization of Streets","year":2022,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Powertech Labs (Canada)","funders":"","keywords":"Stakeholder; Social media; Timeline; Government (linguistics); Process (computing); Vetting; Open government; Computer science; Public relations; Knowledge management; Open data; Process management; Business; Political science; Computer security; World Wide Web","score_opus":0.01590421821885039,"score_gpt":0.27345122884350265,"score_spread":0.25754701062465224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386231531","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945569,0.000018046845,0.0005034414,0.0002826947,0.00006269954,0.00011572463,0.000055740747,0.000022027072,0.0043827444],"genre_scores_gemma":[0.9985946,0.0000050266794,0.0011793091,0.00005115762,0.00007581745,0.0000013735034,0.000014974803,0.000004526734,0.00007321011],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988183,0.00002939351,0.00018559607,0.000121144665,0.00072314584,0.00012246956],"domain_scores_gemma":[0.9995607,0.00020104076,0.00011460373,0.000052612904,0.00004181312,0.000029203076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030021687,0.00005565993,0.00011096543,0.000019708736,0.0005234171,0.000024691451,0.00012333754,0.0000265125,0.00073553936],"category_scores_gemma":[0.00007212828,0.000047484562,0.00002034378,0.00023110506,0.00011492776,0.00018869473,0.00005499141,0.000073246556,2.2299133e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021428605,0.000193798,0.7909068,0.00002435508,0.00002654953,0.000007585384,0.04893696,0.00005201821,0.00003282009,0.005990375,0.00022910359,0.15338537],"study_design_scores_gemma":[0.001076281,0.00010135564,0.8239763,0.00003576436,0.00005190722,6.0831314e-7,0.16788726,0.00013840233,0.00005252031,0.0038888175,0.002539418,0.00025138777],"about_ca_topic_score_codex":0.00024124594,"about_ca_topic_score_gemma":0.010268186,"teacher_disagreement_score":0.15313399,"about_ca_system_score_codex":0.00009680525,"about_ca_system_score_gemma":0.00011225963,"threshold_uncertainty_score":0.805364},"labels":[],"label_agreement":null},{"id":"W4386244456","doi":"10.1080/01944363.2023.2240794","title":"Community Animators and Participatory Planning","year":2023,"lang":"en","type":"article","venue":"Journal of the American Planning Association","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"George Cedric Metcalf Charitable Foundation","keywords":"Citizen journalism; Participatory planning; Sociology; Community engagement; Public relations; Participatory action research; Participatory GIS; Photovoice; Political science; Environmental planning; Geography; Economic growth","score_opus":0.07163813216452519,"score_gpt":0.37882581742932353,"score_spread":0.30718768526479834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386244456","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972526,0.000056486235,0.000012749345,0.0017784279,0.00024822477,0.00003632234,0.0000026696555,0.000034179942,0.0005783309],"genre_scores_gemma":[0.9993976,0.000010605935,0.000034711087,0.00017144848,0.00015623006,7.1953866e-7,6.3428206e-7,0.0000049746295,0.0002231254],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984667,0.0006597447,0.00023704233,0.000045957673,0.0003971208,0.00019343782],"domain_scores_gemma":[0.99830323,0.00046847347,0.0009933804,0.00007801314,0.000090288275,0.00006661942],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035398165,0.000052487012,0.00017258263,0.00006553766,0.00078233134,0.000060341587,0.0002250832,0.00003127173,0.0000029276605],"category_scores_gemma":[0.0009604615,0.000039654293,0.00006784211,0.0005017947,0.00014695866,0.00020162431,0.000027570404,0.00037858528,0.0000019764602],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014058452,0.0000126705645,0.975236,0.0000029788728,0.000027152473,0.0000028562001,0.019897675,0.00013926662,0.00009213292,0.00001283359,0.004101068,0.00046132176],"study_design_scores_gemma":[0.000089304274,0.000030882744,0.9854661,0.000041940013,0.000030481146,3.4124642e-7,0.011870946,0.000048825354,0.000025302998,0.0003933432,0.0019553814,0.00004715073],"about_ca_topic_score_codex":0.0006220996,"about_ca_topic_score_gemma":0.00006593247,"teacher_disagreement_score":0.010230116,"about_ca_system_score_codex":0.00019048876,"about_ca_system_score_gemma":0.000093939816,"threshold_uncertainty_score":0.6017139},"labels":[],"label_agreement":null},{"id":"W4386307516","doi":"10.32920/24066273","title":"Towards safe, sustainable, and equitable e-scooter policy in Canada","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Wilfrid Laurier University; Toronto Metropolitan University; University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Equity (law); Sustainability; Business; Social equality; Public transport; Sustainable transport; Environmental planning; Economic growth; Political science; Transport engineering; Engineering; Geography; Economics","score_opus":0.03161448601036419,"score_gpt":0.3193971259137133,"score_spread":0.28778263990334907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386307516","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69336426,0.00034848438,0.000090156514,0.011103831,0.00050624606,0.0007255006,0.00005371725,0.000110287234,0.2936975],"genre_scores_gemma":[0.919054,0.00017166961,0.00009495711,0.00028144775,0.00025201053,0.000032173913,0.000020546624,0.000014759739,0.08007845],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978348,0.00007629864,0.0003077756,0.00047967298,0.00041736665,0.0008840782],"domain_scores_gemma":[0.99932235,0.000057113164,0.000069692396,0.0002756701,0.00008675273,0.00018842678],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009281202,0.00017684359,0.00031657974,0.00016271972,0.00022916337,0.00016488443,0.00045125274,0.0002070617,0.0004730866],"category_scores_gemma":[0.0001760587,0.00016690844,0.00004370789,0.00048593828,0.00013366534,0.00017478291,0.0005561171,0.00039715628,0.0000045576667],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016651938,0.000028043029,0.94498265,0.0005159121,0.00002549571,0.00018951346,0.0045691268,0.00008354438,7.581126e-7,0.036596455,0.009363748,0.0036281007],"study_design_scores_gemma":[0.00021733738,0.0000057313523,0.84035814,0.00006727604,0.000015482665,6.595722e-8,0.01529457,0.000038514892,0.000015331792,0.10394245,0.039600026,0.0004450784],"about_ca_topic_score_codex":0.9998876,"about_ca_topic_score_gemma":0.9998273,"teacher_disagreement_score":0.2256897,"about_ca_system_score_codex":0.0017818282,"about_ca_system_score_gemma":0.018403046,"threshold_uncertainty_score":0.9871617},"labels":[],"label_agreement":null},{"id":"W4386323152","doi":"10.1016/j.tbs.2023.100663","title":"Shared e-scooters as a last-mile transit solution? Travel behavior insights from Los Angeles and Washington D.C","year":2023,"lang":"en","type":"article","venue":"Travel Behaviour and Society","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":40,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Southeastern Transportation Research, Innovation, Development and Education Center; University Transportation Center, Missouri University of Science and Technology; Ford Motor Company; U.S. Department of Transportation","keywords":"Mile; Travel behavior; Last mile (transportation); Public transport; Transit (satellite); Transport engineering; Equity (law); Payment; Business; Sustainable transport; Advertising; Engineering; Marketing; Geography; Finance; Political science; Sustainability","score_opus":0.028328844267963088,"score_gpt":0.29022981955011873,"score_spread":0.2619009752821556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386323152","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99707615,0.0003642077,0.00013321757,0.00026759133,0.0001829359,0.00046109708,0.0006223123,0.0001985495,0.0006939643],"genre_scores_gemma":[0.99816,0.00023968623,0.00024673785,0.00015003873,0.00015516618,0.00005710563,0.0002566705,0.000027538068,0.00070703664],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99805605,0.000084489424,0.0003165122,0.00060784456,0.00046081084,0.0004743103],"domain_scores_gemma":[0.9992597,0.00008635219,0.00007381546,0.0001916721,0.00006638785,0.0003220337],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000309038,0.00025543073,0.00034285107,0.000048594084,0.0010837816,0.00021941957,0.00023176432,0.0003397482,0.0002088919],"category_scores_gemma":[0.000011797918,0.00024713983,0.00022797086,0.00036534166,0.0005842965,0.00050833187,0.000032853986,0.00031118913,0.000009571044],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049181963,0.00035526344,0.8245182,0.000051962932,0.00007486899,0.000051319243,0.15578677,6.460757e-7,0.011290724,0.00059801847,0.003548603,0.003674433],"study_design_scores_gemma":[0.0007178412,0.000046522186,0.9736724,0.000034892448,0.0002081594,5.49644e-7,0.023483744,0.000050874503,0.00066012266,0.00065843225,0.00014410735,0.00032237268],"about_ca_topic_score_codex":0.008243525,"about_ca_topic_score_gemma":0.010367782,"teacher_disagreement_score":0.14915417,"about_ca_system_score_codex":0.000058885027,"about_ca_system_score_gemma":0.00012544074,"threshold_uncertainty_score":0.9999981},"labels":[],"label_agreement":null},{"id":"W4386332838","doi":"10.32920/24066273.v1","title":"Towards safe, sustainable, and equitable e-scooter policy in Canada","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Wilfrid Laurier University; Toronto Metropolitan University; University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Equity (law); Sustainability; Business; Social equality; Public transport; Sustainable transport; Economic growth; Environmental planning; Political science; Transport engineering; Geography; Engineering; Economics","score_opus":0.03161448601036419,"score_gpt":0.3193971259137133,"score_spread":0.28778263990334907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386332838","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69336426,0.00034848438,0.000090156514,0.011103831,0.00050624606,0.0007255006,0.00005371725,0.000110287234,0.2936975],"genre_scores_gemma":[0.919054,0.00017166961,0.00009495711,0.00028144775,0.00025201053,0.000032173913,0.000020546624,0.000014759739,0.08007845],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978348,0.00007629864,0.0003077756,0.00047967298,0.00041736665,0.0008840782],"domain_scores_gemma":[0.99932235,0.000057113164,0.000069692396,0.0002756701,0.00008675273,0.00018842678],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009281202,0.00017684359,0.00031657974,0.00016271972,0.00022916337,0.00016488443,0.00045125274,0.0002070617,0.0004730866],"category_scores_gemma":[0.0001760587,0.00016690844,0.00004370789,0.00048593828,0.00013366534,0.00017478291,0.0005561171,0.00039715628,0.0000045576667],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016651938,0.000028043029,0.94498265,0.0005159121,0.00002549571,0.00018951346,0.0045691268,0.00008354438,7.581126e-7,0.036596455,0.009363748,0.0036281007],"study_design_scores_gemma":[0.00021733738,0.0000057313523,0.84035814,0.00006727604,0.000015482665,6.595722e-8,0.01529457,0.000038514892,0.000015331792,0.10394245,0.039600026,0.0004450784],"about_ca_topic_score_codex":0.9998876,"about_ca_topic_score_gemma":0.9998273,"teacher_disagreement_score":0.2256897,"about_ca_system_score_codex":0.0017818282,"about_ca_system_score_gemma":0.018403046,"threshold_uncertainty_score":0.9871617},"labels":[],"label_agreement":null},{"id":"W4386353105","doi":"10.32920/24076506.v1","title":"Using a GIS Approach to Evaluate Spatial Accessibility to Neighbourhood Amenities and Natural Environmental Features: Implications for Older Adult Health in the Toronto CMA","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Geography; Census; Neighbourhood (mathematics); Bivariate analysis; Geographic information system; Environmental health; Environmental planning; Socioeconomics; Gerontology; Cartography; Medicine; Population; Computer science; Sociology","score_opus":0.07946242532379287,"score_gpt":0.38996957989342396,"score_spread":0.31050715456963107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386353105","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96429205,0.00047779948,0.008701015,0.014976516,0.00052329304,0.008233191,0.00086790643,0.00012441455,0.0018038087],"genre_scores_gemma":[0.9902579,0.000058806963,0.005696859,0.002172447,0.00033763968,0.00086094183,0.00023458179,0.000025324922,0.00035545998],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970651,0.00034756362,0.0005286806,0.0010349096,0.0004289167,0.00059478276],"domain_scores_gemma":[0.99869424,0.00019469907,0.00016952411,0.00060279254,0.00006601022,0.0002727548],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017214548,0.00030883547,0.00044177036,0.00007206631,0.0007924584,0.00041019748,0.0008467358,0.00021502521,0.000067508445],"category_scores_gemma":[0.00013841072,0.00023116572,0.00015425948,0.00016569662,0.00016426927,0.0002813216,0.00031745606,0.00035967078,0.0000014901378],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036766508,0.0014380385,0.4835654,0.0008111774,0.0001682318,7.3466555e-7,0.41557646,0.00034662624,0.00011221151,0.004871418,0.0027368965,0.09000516],"study_design_scores_gemma":[0.00028244904,0.00003193351,0.97481203,0.000051413415,0.000035621037,2.2937745e-7,0.019663863,0.00029503024,0.000005207386,0.0044045486,0.00011981243,0.0002978608],"about_ca_topic_score_codex":0.2350074,"about_ca_topic_score_gemma":0.43426216,"teacher_disagreement_score":0.49124664,"about_ca_system_score_codex":0.00093240326,"about_ca_system_score_gemma":0.0005099407,"threshold_uncertainty_score":0.9426665},"labels":[],"label_agreement":null},{"id":"W4386353223","doi":"10.32920/24076506","title":"Using a GIS Approach to Evaluate Spatial Accessibility to Neighbourhood Amenities and Natural Environmental Features: Implications for Older Adult Health in the Toronto CMA","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Geography; Census; Neighbourhood (mathematics); Bivariate analysis; Geographic information system; Environmental health; Environmental planning; Socioeconomics; Gerontology; Cartography; Medicine; Population; Computer science; Sociology","score_opus":0.07946242532379287,"score_gpt":0.38996957989342396,"score_spread":0.31050715456963107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386353223","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96429205,0.00047779948,0.008701015,0.014976516,0.00052329304,0.008233191,0.00086790643,0.00012441455,0.0018038087],"genre_scores_gemma":[0.9902579,0.000058806963,0.005696859,0.002172447,0.00033763968,0.00086094183,0.00023458179,0.000025324922,0.00035545998],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970651,0.00034756362,0.0005286806,0.0010349096,0.0004289167,0.00059478276],"domain_scores_gemma":[0.99869424,0.00019469907,0.00016952411,0.00060279254,0.00006601022,0.0002727548],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017214548,0.00030883547,0.00044177036,0.00007206631,0.0007924584,0.00041019748,0.0008467358,0.00021502521,0.000067508445],"category_scores_gemma":[0.00013841072,0.00023116572,0.00015425948,0.00016569662,0.00016426927,0.0002813216,0.00031745606,0.00035967078,0.0000014901378],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036766508,0.0014380385,0.4835654,0.0008111774,0.0001682318,7.3466555e-7,0.41557646,0.00034662624,0.00011221151,0.004871418,0.0027368965,0.09000516],"study_design_scores_gemma":[0.00028244904,0.00003193351,0.97481203,0.000051413415,0.000035621037,2.2937745e-7,0.019663863,0.00029503024,0.000005207386,0.0044045486,0.00011981243,0.0002978608],"about_ca_topic_score_codex":0.2350074,"about_ca_topic_score_gemma":0.43426216,"teacher_disagreement_score":0.49124664,"about_ca_system_score_codex":0.00093240326,"about_ca_system_score_gemma":0.0005099407,"threshold_uncertainty_score":0.9426665},"labels":[],"label_agreement":null},{"id":"W4386419720","doi":"10.31124/advance.24077448.v1","title":"Evaluating the Spatial Mismatch Hypothesis: A Comprehensive Analysis of Access to Primary Care Physicians and Healthcare Disparities in Eastern Quebec","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Psychological intervention; Primary care; Health care; Catchment area; Geography; Rural area; Public economics; Economic growth; Business; Medicine; Nursing; Family medicine; Cartography; Economics; Drainage basin","score_opus":0.18722436128283104,"score_gpt":0.4108714707292543,"score_spread":0.22364710944642324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386419720","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9914784,0.0007831119,0.00018657469,0.005424793,0.00021762065,0.0011743057,0.0002385883,0.00006804716,0.00042859948],"genre_scores_gemma":[0.9983165,0.00008840525,0.0001604091,0.0005875953,0.0001278026,0.00014387173,0.00011192348,0.000018429033,0.00044506558],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99711055,0.00053361856,0.00059423095,0.0006539078,0.00074332266,0.00036436904],"domain_scores_gemma":[0.9981858,0.0005614805,0.00030117176,0.000487376,0.00037562096,0.00008853996],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005604978,0.00024169516,0.00085366744,0.0002984975,0.00027500035,0.00027418925,0.00084298634,0.00019802457,0.000024216935],"category_scores_gemma":[0.00006965955,0.00019234448,0.00025004856,0.0009842291,0.00033541684,0.00015499254,0.000525173,0.0003584729,0.0000015772939],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046477657,0.000033406108,0.8955919,0.0008757905,0.00025800435,0.0000021325402,0.061993692,0.0012549425,0.0000073370197,0.000040209885,0.000015442383,0.039880667],"study_design_scores_gemma":[0.000102124264,0.00001850265,0.97021645,0.0003675589,0.0004564937,5.7844987e-9,0.027083926,0.0008088369,0.000010947346,0.00071664085,0.000015135725,0.0002033743],"about_ca_topic_score_codex":0.8753856,"about_ca_topic_score_gemma":0.9684817,"teacher_disagreement_score":0.09309611,"about_ca_system_score_codex":0.00025362294,"about_ca_system_score_gemma":0.00061567937,"threshold_uncertainty_score":0.784358},"labels":[],"label_agreement":null},{"id":"W4386419980","doi":"10.31124/advance.24077448","title":"Evaluating the Spatial Mismatch Hypothesis: A Comprehensive Analysis of Access to Primary Care Physicians and Healthcare Disparities in Eastern Quebec","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Primary care; Psychological intervention; Catchment area; Health care; Rural area; Focus (optics); Focus group; Geography; Business; Economic growth; Public economics; Medicine; Nursing; Family medicine; Cartography; Marketing; Economics","score_opus":0.18722436128283104,"score_gpt":0.4108714707292543,"score_spread":0.22364710944642324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386419980","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9914784,0.0007831119,0.00018657469,0.005424793,0.00021762065,0.0011743057,0.0002385883,0.00006804716,0.00042859948],"genre_scores_gemma":[0.9983165,0.00008840525,0.0001604091,0.0005875953,0.0001278026,0.00014387173,0.00011192348,0.000018429033,0.00044506558],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99711055,0.00053361856,0.00059423095,0.0006539078,0.00074332266,0.00036436904],"domain_scores_gemma":[0.9981858,0.0005614805,0.00030117176,0.000487376,0.00037562096,0.00008853996],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005604978,0.00024169516,0.00085366744,0.0002984975,0.00027500035,0.00027418925,0.00084298634,0.00019802457,0.000024216935],"category_scores_gemma":[0.00006965955,0.00019234448,0.00025004856,0.0009842291,0.00033541684,0.00015499254,0.000525173,0.0003584729,0.0000015772939],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046477657,0.000033406108,0.8955919,0.0008757905,0.00025800435,0.0000021325402,0.061993692,0.0012549425,0.0000073370197,0.000040209885,0.000015442383,0.039880667],"study_design_scores_gemma":[0.000102124264,0.00001850265,0.97021645,0.0003675589,0.0004564937,5.7844987e-9,0.027083926,0.0008088369,0.000010947346,0.00071664085,0.000015135725,0.0002033743],"about_ca_topic_score_codex":0.8753856,"about_ca_topic_score_gemma":0.9684817,"teacher_disagreement_score":0.09309611,"about_ca_system_score_codex":0.00025362294,"about_ca_system_score_gemma":0.00061567937,"threshold_uncertainty_score":0.784358},"labels":[],"label_agreement":null},{"id":"W4386451888","doi":"10.2139/ssrn.4559007","title":"Are There Social Inequalities in Children's Independent Mobility, Active Transportation and Outdoor Free Play Based on Neighbourhood-Level Socioeconomic Status and Place? A Cross-Sectional Investigation in Two Canadian Cities","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; Queen's University; Université de Montréal","funders":"","keywords":"Neighbourhood (mathematics); Socioeconomic status; Inequality; Geography; Social inequality; Sociology; Demographic economics; Socioeconomics; Psychology; Demography; Economics; Mathematics; Population","score_opus":0.03549467493253423,"score_gpt":0.3075607504212746,"score_spread":0.2720660754887404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386451888","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964029,0.00023790146,0.0000198453,0.0010648399,0.00022854852,0.0006311002,0.0012922554,0.000033994376,0.00008859127],"genre_scores_gemma":[0.9987752,0.0002714529,0.000008741417,0.00010270985,0.00034234172,0.00006672655,0.00025906236,0.00003419047,0.00013958666],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9961585,0.00040885902,0.0006826927,0.0006220165,0.00047232694,0.0016556],"domain_scores_gemma":[0.9987868,0.00017000752,0.0005647025,0.00014122132,0.00010198972,0.00023529977],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.003033891,0.0003302467,0.0004342694,0.0005703448,0.00070106046,0.00036629656,0.0003286492,0.00044903188,0.000075376025],"category_scores_gemma":[0.00011127006,0.00036405344,0.00012129632,0.0001496017,0.0005120372,0.0004357324,0.000028149972,0.003478835,0.00000149229],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.00016091483,0.000041298015,0.98282236,0.000031484033,0.00006849447,0.0000041683506,0.011042365,0.0011574568,6.897079e-7,0.004418972,0.0000030974031,0.00024868132],"study_design_scores_gemma":[0.0013458622,0.000034752018,0.78124017,0.00005443579,0.00001686438,6.116289e-7,0.012124771,0.00007083888,0.000002332727,0.2048409,0.000001467928,0.0002669699],"about_ca_topic_score_codex":0.5967984,"about_ca_topic_score_gemma":0.9943148,"teacher_disagreement_score":0.39751637,"about_ca_system_score_codex":0.005496604,"about_ca_system_score_gemma":0.011439528,"threshold_uncertainty_score":0.99988115},"labels":[],"label_agreement":null},{"id":"W4386452602","doi":"10.2139/ssrn.4560569","title":"The Fast, the Slow, and the Congested: Urban Transportation in Rich and Poor Countries","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"","keywords":"Transport engineering; Geography; Business; Engineering","score_opus":0.006971726244580496,"score_gpt":0.2562112846791464,"score_spread":0.24923955843456588,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386452602","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95662636,0.007343938,0.000034689543,0.035289597,0.00008584336,0.00023112455,0.0000034130965,0.000021352453,0.00036368283],"genre_scores_gemma":[0.9831178,0.015414751,6.660138e-7,0.00020501348,0.00018143021,0.0000092170185,0.0000016667901,0.0000059305025,0.0010635059],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99823344,0.00022821793,0.00021697565,0.00012330191,0.00028845723,0.0009096011],"domain_scores_gemma":[0.9993246,0.00041576187,0.000093767994,0.00007195121,0.000050528284,0.000043389977],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.005060387,0.00008145952,0.000109866385,0.000024959767,0.0014680212,0.00020903659,0.00026284344,0.000050347688,0.0000071407335],"category_scores_gemma":[0.00006783587,0.000037505935,0.00003773076,0.00034974224,0.000797922,0.00020364903,0.000005291779,0.0007900766,0.0000023685623],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030610478,0.000013359708,0.64210784,0.000008348621,0.00007912649,0.0000039813426,0.048359517,0.000010641887,0.000008075341,0.2974263,0.0004914627,0.011185227],"study_design_scores_gemma":[0.0021988407,0.00008341677,0.6762372,0.000019294468,0.000094412804,0.000005194361,0.10513525,0.00014801545,0.00000877839,0.19065805,0.025227655,0.00018388752],"about_ca_topic_score_codex":0.0011571307,"about_ca_topic_score_gemma":0.110179275,"teacher_disagreement_score":0.10902215,"about_ca_system_score_codex":0.00008300337,"about_ca_system_score_gemma":0.0006877493,"threshold_uncertainty_score":0.9998319},"labels":[],"label_agreement":null},{"id":"W4386452779","doi":"10.1080/00038628.2023.2253780","title":"Interview study to uncover the energy use impacts and behaviours of teleworkers who relocated during COVID-19 in Canada","year":2023,"lang":"en","type":"article","venue":"Architectural Science Review","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University","funders":"Directorate for Engineering; Treasury","keywords":"Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Psychology; Engineering; Applied psychology; Architectural engineering; Medicine; Virology","score_opus":0.04892614273016712,"score_gpt":0.3488211487310782,"score_spread":0.2998950060009111,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386452779","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.989029,0.004917275,0.0000028691359,0.005259191,0.000065272805,0.0006679,0.0000068468466,0.00002238735,0.000029255838],"genre_scores_gemma":[0.9938288,0.0048288717,0.0000075905627,0.0012533958,0.000009415416,0.000019120474,0.000001056129,0.0000042490924,0.00004754354],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99785316,0.00034635433,0.00035756477,0.00034925056,0.0006311032,0.00046257878],"domain_scores_gemma":[0.99897754,0.00022483076,0.00010183114,0.00027910416,0.000053361833,0.00036333324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027168742,0.00011519121,0.00028775953,0.00010652166,0.00044574996,0.000058882637,0.0006766741,0.000012017282,0.00003267701],"category_scores_gemma":[0.0009959247,0.000070424896,0.000041889525,0.0038860594,0.000474597,0.0002490139,0.00014856806,0.00011734716,9.0054505e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000068704912,0.000018557846,0.9623155,0.00029399508,0.000004133842,0.000026002157,0.0058102324,0.000059829184,0.000029781402,0.000032754233,0.000100809,0.031301547],"study_design_scores_gemma":[0.00007816921,0.000024781544,0.9967879,0.0008540762,0.000016549791,0.0000012166179,0.0011336226,0.000008024739,0.000023484045,0.00004099829,0.00092549593,0.00010567793],"about_ca_topic_score_codex":0.96558684,"about_ca_topic_score_gemma":0.9938143,"teacher_disagreement_score":0.034472417,"about_ca_system_score_codex":0.00050232344,"about_ca_system_score_gemma":0.0021997232,"threshold_uncertainty_score":0.39022142},"labels":[],"label_agreement":null},{"id":"W4386464313","doi":"10.2139/ssrn.4551253","title":"Associations between School-Level Environment and Individual-Level Factors of Walking and Cycling to School in Canadian Youth","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Public Health Agency of Canada","funders":"","keywords":"Cycling; Psychology; Level design; Geography; Computer science","score_opus":0.08640348961068212,"score_gpt":0.3061896013789649,"score_spread":0.21978611176828278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386464313","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99640334,0.00073762384,0.00027579803,0.00079156586,0.00015040788,0.00036960703,0.0011029934,0.000017364231,0.00015128101],"genre_scores_gemma":[0.9975883,0.0015362496,0.00012249028,0.000023010898,0.00028457763,0.0000052115747,0.00012907138,0.000026095828,0.000285043],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9960925,0.00020989364,0.0006477198,0.00043166382,0.00057965907,0.0020385704],"domain_scores_gemma":[0.9985436,0.00013600613,0.00037210487,0.00016282154,0.000048400598,0.0007370726],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0053769117,0.00023538987,0.00047731146,0.000533574,0.0005580892,0.00020040742,0.00045270904,0.00037146723,0.000032305787],"category_scores_gemma":[0.0005837486,0.00024564128,0.00009828263,0.0002527318,0.00010568706,0.00021039804,0.00015359606,0.0030520365,0.0000041413746],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000023359407,0.000011769502,0.9880303,0.000007678696,0.00013352423,0.0000010968566,0.009907737,0.000031740095,0.0000036994923,0.00027840826,0.0000045692113,0.001587119],"study_design_scores_gemma":[0.00019372591,0.000024533381,0.9478679,0.00009837191,0.00010893765,1.7046196e-7,0.011946645,0.0000012184368,0.0000067716123,0.039489996,0.00003008549,0.0002316578],"about_ca_topic_score_codex":0.5789164,"about_ca_topic_score_gemma":0.92575,"teacher_disagreement_score":0.34683365,"about_ca_system_score_codex":0.0036108622,"about_ca_system_score_gemma":0.008255126,"threshold_uncertainty_score":0.9999996},"labels":[],"label_agreement":null},{"id":"W4386536425","doi":"10.32920/24085086","title":"Redesigning streets for micromobility: improving mobility and access to transportation for less able users","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business","score_opus":0.13652880560917385,"score_gpt":0.3833637582278949,"score_spread":0.24683495261872107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386536425","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89168555,0.000057158282,0.097699724,0.0014720429,0.0007484513,0.0069069667,0.00088636024,0.00037401097,0.00016972549],"genre_scores_gemma":[0.98405474,0.000019193028,0.01215326,0.00011360157,0.00024518816,0.001848153,0.00039917737,0.000050657254,0.001116048],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969396,0.00007350576,0.0006774322,0.0013676682,0.0003104865,0.0006313154],"domain_scores_gemma":[0.99805623,0.0005830823,0.00024308078,0.00046495945,0.00038377472,0.00026886794],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0026849108,0.0003212267,0.00055123266,0.00013301702,0.00073007814,0.0006026232,0.0007272719,0.00045897203,0.00003183479],"category_scores_gemma":[0.00029481112,0.00033195215,0.00026549495,0.00024535216,0.00020076672,0.00055308064,0.00008207791,0.00024258891,8.579065e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008173619,0.00043568632,0.9104185,0.0076396004,0.00021325897,0.000003550004,0.025381345,0.0010553041,0.0027149213,0.0011494979,0.00338068,0.046790276],"study_design_scores_gemma":[0.0019900522,0.00025835214,0.8878505,0.00059077766,0.00065188005,4.924654e-8,0.019096177,0.0018160187,0.010744725,0.06973383,0.005048021,0.002219594],"about_ca_topic_score_codex":0.034119286,"about_ca_topic_score_gemma":0.18766293,"teacher_disagreement_score":0.15354365,"about_ca_system_score_codex":0.00020570114,"about_ca_system_score_gemma":0.0005601716,"threshold_uncertainty_score":0.9999133},"labels":[],"label_agreement":null},{"id":"W4386543169","doi":"10.1016/b978-0-323-90597-8.00012-8","title":"A technical study on the design of electric bicycles: applications in intervention programs","year":2023,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Osteoarthritis; Rehabilitation; Physical medicine and rehabilitation; Physical therapy; Limiting; Medicine; Knee Joint; Work (physics); Intervention (counseling); Engineering; Nursing; Alternative medicine; Surgery; Mechanical engineering","score_opus":0.06412702048196421,"score_gpt":0.3286056544056105,"score_spread":0.2644786339236463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386543169","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005448892,0.00015028982,0.00015058719,0.00008745764,0.00007685249,0.008057345,0.0000072300913,0.00018209325,0.98583925],"genre_scores_gemma":[0.5829927,0.00001979435,0.000034932345,0.000013180658,0.00008905335,0.0009634486,0.000009276632,0.000035731147,0.4158419],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983145,0.0001587888,0.0005137908,0.00035344745,0.00044784092,0.00021165748],"domain_scores_gemma":[0.9989883,0.0002493086,0.00024934713,0.00040239346,0.000067861176,0.00004284788],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016835663,0.00018101669,0.00030988213,0.00018318657,0.00016748483,0.000036694735,0.00054918893,0.00020557945,0.000036130445],"category_scores_gemma":[0.000036161808,0.00012911402,0.00019925013,0.00014382006,0.00024120085,0.000027089724,0.000034228622,0.0004308832,0.00003064869],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002108403,0.0003657179,0.004091764,0.000037521128,0.00003801278,0.000004101699,0.0023629176,5.35648e-7,0.000014432636,0.019831259,0.000010095162,0.97322255],"study_design_scores_gemma":[0.0020335128,0.0029849987,0.10044212,0.0035823665,0.0010407576,5.8558135e-7,0.008258178,0.000025314908,0.00012183973,0.51361346,0.36559415,0.0023027128],"about_ca_topic_score_codex":0.000036728245,"about_ca_topic_score_gemma":0.0022613006,"teacher_disagreement_score":0.97091985,"about_ca_system_score_codex":0.00010558237,"about_ca_system_score_gemma":0.000121323734,"threshold_uncertainty_score":0.5265117},"labels":[],"label_agreement":null},{"id":"W4386562532","doi":"10.1371/journal.pone.0289780","title":"The spatial configuration of local climate zones reveals effects on wayfinding in human walking","year":2023,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"University of the West of England","keywords":"Spatial ecology; Spatial configuration; Spatial variability; Spatial planning; Spatial analysis; Common spatial pattern; Built environment; Cartography; Urban spatial structure; Geography; Computer science; Urban planning; Physical geography; Environmental resource management; Environmental science; Environmental planning; Ecology; Remote sensing; Statistics; Mathematics","score_opus":0.048264041378666966,"score_gpt":0.30244021466007853,"score_spread":0.25417617328141157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386562532","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968292,0.000019266277,0.000056228095,0.00040551985,0.000060861825,0.00027463917,0.0000026323414,0.000052784133,0.002298874],"genre_scores_gemma":[0.9996633,0.00003136258,0.000009215751,0.000015871328,0.00012236994,0.000017882661,0.000009657224,0.0000053126923,0.00012506345],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99894416,0.0001424988,0.00020969723,0.000129781,0.0003457878,0.00022805015],"domain_scores_gemma":[0.9993681,0.00038149362,0.00008611808,0.00010416571,0.000032768385,0.00002737734],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010482838,0.00005448062,0.00013877083,0.000053224925,0.00042858618,0.000032426426,0.00013657549,0.000052471234,0.000019566674],"category_scores_gemma":[0.00011668836,0.00004275768,0.00002939053,0.00027541144,0.00016335794,0.000090421956,0.000011657427,0.00009408506,0.000018012295],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008196844,0.00047201113,0.8813158,0.00039509378,0.000046855184,0.000013821453,0.0112272855,0.00001192568,0.0601404,0.026172962,0.000035846922,0.020085976],"study_design_scores_gemma":[0.0002803819,0.00007827892,0.90450644,0.0004703806,0.000025354564,5.066798e-9,0.0010582923,0.0000832388,0.08740495,0.005983282,0.000012430336,0.00009694105],"about_ca_topic_score_codex":0.0009543427,"about_ca_topic_score_gemma":0.0038669484,"teacher_disagreement_score":0.02726455,"about_ca_system_score_codex":0.000041871186,"about_ca_system_score_gemma":0.000018848788,"threshold_uncertainty_score":0.32963818},"labels":[],"label_agreement":null},{"id":"W4386563489","doi":"10.32920/24085086.v1","title":"Redesigning streets for micromobility: improving mobility and access to transportation for less able users","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Equity (law); Business; Economic growth; Political science; Economics","score_opus":0.13652880560917385,"score_gpt":0.3833637582278949,"score_spread":0.24683495261872107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386563489","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89168555,0.000057158282,0.097699724,0.0014720429,0.0007484513,0.0069069667,0.00088636024,0.00037401097,0.00016972549],"genre_scores_gemma":[0.98405474,0.000019193028,0.01215326,0.00011360157,0.00024518816,0.001848153,0.00039917737,0.000050657254,0.001116048],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969396,0.00007350576,0.0006774322,0.0013676682,0.0003104865,0.0006313154],"domain_scores_gemma":[0.99805623,0.0005830823,0.00024308078,0.00046495945,0.00038377472,0.00026886794],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0026849108,0.0003212267,0.00055123266,0.00013301702,0.00073007814,0.0006026232,0.0007272719,0.00045897203,0.00003183479],"category_scores_gemma":[0.00029481112,0.00033195215,0.00026549495,0.00024535216,0.00020076672,0.00055308064,0.00008207791,0.00024258891,8.579065e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008173619,0.00043568632,0.9104185,0.0076396004,0.00021325897,0.000003550004,0.025381345,0.0010553041,0.0027149213,0.0011494979,0.00338068,0.046790276],"study_design_scores_gemma":[0.0019900522,0.00025835214,0.8878505,0.00059077766,0.00065188005,4.924654e-8,0.019096177,0.0018160187,0.010744725,0.06973383,0.005048021,0.002219594],"about_ca_topic_score_codex":0.034119286,"about_ca_topic_score_gemma":0.18766293,"teacher_disagreement_score":0.15354365,"about_ca_system_score_codex":0.00020570114,"about_ca_system_score_gemma":0.0005601716,"threshold_uncertainty_score":0.9999133},"labels":[],"label_agreement":null},{"id":"W4386699084","doi":"10.32920/24085278.v1","title":"Campus accessibility: the supply and demand of accessible transit for post secondary students in the Toronto Region","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"TRIPS architecture; Public transport; Transit (satellite); Transport engineering; Equity (law); Supply and demand; Business; Externality; Population; Work (physics); Geography; Engineering; Economics; Political science; Medicine; Environmental health","score_opus":0.04611517291343892,"score_gpt":0.36412347734125905,"score_spread":0.31800830442782013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386699084","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98644227,0.0016906812,0.00033102726,0.0046470086,0.0005341687,0.002874114,0.00013206992,0.000060885577,0.0032877538],"genre_scores_gemma":[0.99735796,0.0004855196,0.00007137093,0.00039522612,0.00019505095,0.00025915477,0.000063989806,0.00001956481,0.0011521329],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99718446,0.00040754222,0.0006614837,0.0006821352,0.00067028275,0.00039409116],"domain_scores_gemma":[0.99806225,0.0007268603,0.00027935643,0.00068040355,0.00017853771,0.000072618146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037441845,0.00025463608,0.000469856,0.000052548792,0.00047107882,0.00041339983,0.00216267,0.0003537058,0.0001467153],"category_scores_gemma":[0.00011953932,0.00014479943,0.00021371052,0.00020574039,0.0005477777,0.0005214725,0.0002589343,0.0004260477,7.117986e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012908175,0.0001693885,0.9558225,0.00048596566,0.00005849626,0.0000048917627,0.037759356,0.0000042790994,0.000011793968,0.00047027264,0.0009665771,0.0041173776],"study_design_scores_gemma":[0.00050720957,0.00004509065,0.962734,0.00010792304,0.00009710498,2.0912282e-7,0.019914772,0.000011363007,0.000040079885,0.015300092,0.0010462963,0.00019585932],"about_ca_topic_score_codex":0.083242886,"about_ca_topic_score_gemma":0.5628706,"teacher_disagreement_score":0.47962776,"about_ca_system_score_codex":0.00011174953,"about_ca_system_score_gemma":0.0005101238,"threshold_uncertainty_score":0.9228619},"labels":[],"label_agreement":null},{"id":"W4386699105","doi":"10.32920/24085320.v1","title":"Exploring post-secondary students' commute satisfaction and its relationship to well-being","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; Toronto Metropolitan University; Centre for Social Innovation","funders":"","keywords":"Subjective well-being; Psychology; Neighbourhood (mathematics); Cognition; Structural equation modeling; Sample (material); Life satisfaction; Social psychology; Happiness; Mathematics; Chemistry","score_opus":0.15402367149166318,"score_gpt":0.36512312883798204,"score_spread":0.21109945734631885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386699105","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9819096,0.000092966184,0.000119468394,0.002452687,0.0013229111,0.00067656126,0.000017324332,0.00039332276,0.013015204],"genre_scores_gemma":[0.99477524,0.0001988103,0.00023086621,0.00018526857,0.0002531507,0.00010795987,0.000039470167,0.000023021226,0.0041862233],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981836,0.00015819586,0.000351497,0.0005006085,0.00052183936,0.00028426724],"domain_scores_gemma":[0.99903405,0.00027281384,0.00009611138,0.00027612015,0.00012264651,0.00019827849],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011701277,0.00017660926,0.00023437271,0.0001792208,0.00076409394,0.0003393762,0.0003407564,0.00019032808,0.00034948345],"category_scores_gemma":[0.00017752347,0.00018719657,0.00007843977,0.00023688083,0.000054764238,0.000611051,0.000408411,0.0006696342,0.00019074287],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009285135,0.000013120919,0.9790698,0.00007924092,0.000023098351,0.000003841433,0.016545493,0.00001900138,0.000009086887,0.0024049466,0.00010461403,0.0017184273],"study_design_scores_gemma":[0.0000915063,0.000010388401,0.9893233,0.00010865463,0.00002949737,5.2817672e-8,0.0037279117,0.0000055624696,0.000023762297,0.0056431293,0.0008167794,0.00021940797],"about_ca_topic_score_codex":0.022132482,"about_ca_topic_score_gemma":0.049248345,"teacher_disagreement_score":0.027115865,"about_ca_system_score_codex":0.00013558357,"about_ca_system_score_gemma":0.00015902452,"threshold_uncertainty_score":0.98437923},"labels":[],"label_agreement":null},{"id":"W4386699151","doi":"10.32920/24085320","title":"Exploring post-secondary students' commute satisfaction and its relationship to well-being","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; Toronto Metropolitan University; Centre for Social Innovation","funders":"","keywords":"Subjective well-being; Neighbourhood (mathematics); Psychology; Cognition; Structural equation modeling; Life satisfaction; Sample (material); Social psychology; Happiness; Mathematics","score_opus":0.15402367149166318,"score_gpt":0.36512312883798204,"score_spread":0.21109945734631885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386699151","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9819096,0.000092966184,0.000119468394,0.002452687,0.0013229111,0.00067656126,0.000017324332,0.00039332276,0.013015204],"genre_scores_gemma":[0.99477524,0.0001988103,0.00023086621,0.00018526857,0.0002531507,0.00010795987,0.000039470167,0.000023021226,0.0041862233],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981836,0.00015819586,0.000351497,0.0005006085,0.00052183936,0.00028426724],"domain_scores_gemma":[0.99903405,0.00027281384,0.00009611138,0.00027612015,0.00012264651,0.00019827849],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011701277,0.00017660926,0.00023437271,0.0001792208,0.00076409394,0.0003393762,0.0003407564,0.00019032808,0.00034948345],"category_scores_gemma":[0.00017752347,0.00018719657,0.00007843977,0.00023688083,0.000054764238,0.000611051,0.000408411,0.0006696342,0.00019074287],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009285135,0.000013120919,0.9790698,0.00007924092,0.000023098351,0.000003841433,0.016545493,0.00001900138,0.000009086887,0.0024049466,0.00010461403,0.0017184273],"study_design_scores_gemma":[0.0000915063,0.000010388401,0.9893233,0.00010865463,0.00002949737,5.2817672e-8,0.0037279117,0.0000055624696,0.000023762297,0.0056431293,0.0008167794,0.00021940797],"about_ca_topic_score_codex":0.022132482,"about_ca_topic_score_gemma":0.049248345,"teacher_disagreement_score":0.027115865,"about_ca_system_score_codex":0.00013558357,"about_ca_system_score_gemma":0.00015902452,"threshold_uncertainty_score":0.98437923},"labels":[],"label_agreement":null},{"id":"W4386699541","doi":"10.32920/24085278","title":"Campus accessibility: the supply and demand of accessible transit for post secondary students in the Toronto Region","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"TRIPS architecture; Public transport; Transport engineering; Transit (satellite); Equity (law); Supply and demand; Externality; Business; Population; Work (physics); Geography; Engineering; Economics; Medicine; Political science; Environmental health","score_opus":0.04611517291343892,"score_gpt":0.36412347734125905,"score_spread":0.31800830442782013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386699541","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98644227,0.0016906812,0.00033102726,0.0046470086,0.0005341687,0.002874114,0.00013206992,0.000060885577,0.0032877538],"genre_scores_gemma":[0.99735796,0.0004855196,0.00007137093,0.00039522612,0.00019505095,0.00025915477,0.000063989806,0.00001956481,0.0011521329],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99718446,0.00040754222,0.0006614837,0.0006821352,0.00067028275,0.00039409116],"domain_scores_gemma":[0.99806225,0.0007268603,0.00027935643,0.00068040355,0.00017853771,0.000072618146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037441845,0.00025463608,0.000469856,0.000052548792,0.00047107882,0.00041339983,0.00216267,0.0003537058,0.0001467153],"category_scores_gemma":[0.00011953932,0.00014479943,0.00021371052,0.00020574039,0.0005477777,0.0005214725,0.0002589343,0.0004260477,7.117986e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012908175,0.0001693885,0.9558225,0.00048596566,0.00005849626,0.0000048917627,0.037759356,0.0000042790994,0.000011793968,0.00047027264,0.0009665771,0.0041173776],"study_design_scores_gemma":[0.00050720957,0.00004509065,0.962734,0.00010792304,0.00009710498,2.0912282e-7,0.019914772,0.000011363007,0.000040079885,0.015300092,0.0010462963,0.00019585932],"about_ca_topic_score_codex":0.083242886,"about_ca_topic_score_gemma":0.5628706,"teacher_disagreement_score":0.47962776,"about_ca_system_score_codex":0.00011174953,"about_ca_system_score_gemma":0.0005101238,"threshold_uncertainty_score":0.9228619},"labels":[],"label_agreement":null},{"id":"W4386738218","doi":"10.1111/cag.12879","title":"Associations between socio‐demographic factors and change in mobility due to COVID‐19 restrictions in Ontario, Canada using geographically weighted regression","year":2023,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Western University","funders":"","keywords":"Geography; Census; Pandemic; Demographics; Coronavirus disease 2019 (COVID-19); Geographic mobility; Geographically Weighted Regression; Multilevel model; Regression analysis; Demography; Demographic economics; Population; Computer science; Statistics; Sociology; Medicine","score_opus":0.03846485783070833,"score_gpt":0.26911435077730955,"score_spread":0.23064949294660123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386738218","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9920758,0.00035752048,0.0000010186753,0.004119029,0.00054592197,0.0013515529,0.0011725463,0.00016916497,0.00020744828],"genre_scores_gemma":[0.9982678,0.0003598258,0.000050213526,0.00051364425,0.000104731305,0.00015350526,0.0004583421,0.00004008961,0.00005180266],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9948489,0.00040496694,0.0008808557,0.0010722959,0.00063952355,0.0021534222],"domain_scores_gemma":[0.99522793,0.0006004542,0.00021459397,0.00050660694,0.00019999522,0.003250397],"candidate_categories":["metaepi_narrow","bibliometrics","sts"],"consensus_categories":[],"category_scores_codex":[0.0013564111,0.0005254013,0.0008370425,0.009366102,0.0023682564,0.00018180026,0.0006395892,0.00050839793,0.0001054401],"category_scores_gemma":[0.0004745039,0.00055584963,0.00025546204,0.023304278,0.0013699612,0.00057623,0.000070830014,0.00075224275,8.07836e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008097642,0.000020449674,0.98519856,0.00001987833,0.00005415329,0.00016963304,0.013154883,0.000013499551,0.0000016363817,0.00047245767,0.00054814527,0.00033858803],"study_design_scores_gemma":[0.00027209072,0.000031903386,0.9789761,0.000072892115,0.00005009321,8.1749096e-7,0.010514267,0.000010036926,5.7162066e-7,0.0024715355,0.0069949664,0.0006047269],"about_ca_topic_score_codex":0.99999183,"about_ca_topic_score_gemma":0.99999994,"teacher_disagreement_score":0.013938176,"about_ca_system_score_codex":0.0026979756,"about_ca_system_score_gemma":0.005546238,"threshold_uncertainty_score":0.9996893},"labels":[],"label_agreement":null},{"id":"W4386740256","doi":"10.1080/01944363.2023.2239771","title":"Zoning In on Transit-Oriented Development","year":2023,"lang":"en","type":"article","venue":"Journal of the American Planning Association","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Zoning; Urban sprawl; Metropolitan area; Business; Land use; Environmental planning; Government (linguistics); Local government; Transit-oriented development; Sustainability; Urban planning; Public transport; Sustainable development; Transport engineering; Public administration; Geography; Political science; Engineering; Civil engineering","score_opus":0.022565428046134976,"score_gpt":0.3256287923689962,"score_spread":0.30306336432286124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386740256","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957076,0.000009753422,0.000054108354,0.0027914352,0.00034466948,0.000046477435,8.4851297e-7,0.000019817982,0.0010253416],"genre_scores_gemma":[0.9991121,0.000005477971,0.00012283395,0.00016222769,0.00012236512,9.280376e-7,9.856958e-7,0.0000041617773,0.0004689014],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987044,0.00019105602,0.00028875115,0.000066289875,0.0005554449,0.00019406374],"domain_scores_gemma":[0.99888647,0.0002299888,0.0007266478,0.00004742272,0.00007280922,0.00003664861],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020487634,0.00004967985,0.00015326247,0.00012783258,0.00023706164,0.00002609241,0.00018055523,0.000027180135,0.0000045281395],"category_scores_gemma":[0.0004492283,0.000037213296,0.0000677982,0.00096753566,0.000038138773,0.000115968825,0.00000626049,0.00022793013,0.0000055546698],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028984728,0.000022943206,0.97876364,0.0000012940965,0.000016730508,0.0000074733107,0.016361002,0.0012309714,0.00008194761,0.000018001441,0.00078068295,0.0026863422],"study_design_scores_gemma":[0.00015280899,0.00002287438,0.992124,0.00007157869,0.000007188215,1.0838676e-7,0.002791553,0.000033980126,0.000099884404,0.00006490314,0.004584944,0.00004612954],"about_ca_topic_score_codex":0.00021093314,"about_ca_topic_score_gemma":0.00025801847,"teacher_disagreement_score":0.013569449,"about_ca_system_score_codex":0.000572366,"about_ca_system_score_gemma":0.00022233528,"threshold_uncertainty_score":0.18233104},"labels":[],"label_agreement":null},{"id":"W4386788753","doi":"10.1016/j.envint.2023.108184","title":"Does the built environment influence location- and trip-based sedentary behaviors? Evidence from a GPS-based activity space approach of neighborhood effects on older adults","year":2023,"lang":"en","type":"article","venue":"Environment International","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre Hospitalier de l’Université de Montréal","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research","keywords":"Residence; Geography; Global Positioning System; Built environment; Sedentary behavior; Demographics; Demography; Physical activity; Environmental health; Medicine; Physical therapy; Engineering; Telecommunications","score_opus":0.012406116124061296,"score_gpt":0.26598915261874717,"score_spread":0.2535830364946859,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386788753","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99378693,0.00006015642,0.0020698756,0.003106033,0.00018218464,0.0006143383,0.000075548916,0.000035787194,0.00006914167],"genre_scores_gemma":[0.9990428,0.00008719031,0.00021549793,0.00016291637,0.00011014113,0.00014772246,0.00008373289,0.000010965977,0.00013904803],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99799293,0.0001833819,0.00021412631,0.00046465162,0.0009489402,0.00019597267],"domain_scores_gemma":[0.9986595,0.00074309955,0.00018073163,0.00031914134,0.000014160436,0.000083404935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004357183,0.00016428948,0.00014637249,0.000067607296,0.00021744665,0.000046864378,0.00043931778,0.000081137056,0.00036583393],"category_scores_gemma":[0.00007840141,0.00010906395,0.00007560318,0.00011894026,0.0003825827,0.00028242607,0.00005287876,0.00016429569,0.00003072531],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018234253,0.00047723379,0.986814,0.00003316269,0.00003213634,0.0000038730627,0.0021513177,0.0042502675,0.0014460587,0.00004181833,0.000037615257,0.0045301435],"study_design_scores_gemma":[0.0006203627,0.000050852683,0.9865703,0.00015919714,0.00003897521,2.2001055e-8,0.00024981453,0.0033633707,0.008505749,0.00010210823,0.0002012066,0.00013806821],"about_ca_topic_score_codex":0.0027222787,"about_ca_topic_score_gemma":0.00014629494,"teacher_disagreement_score":0.00705969,"about_ca_system_score_codex":0.00018879586,"about_ca_system_score_gemma":0.000057287227,"threshold_uncertainty_score":0.4447499},"labels":[],"label_agreement":null},{"id":"W4386789908","doi":"10.58837/chula.the.2021.396","title":"Evaluating the impact of vertical accessibility performance to Bangkok mass transit stations on the travel behavior of elderly passengers","year":2021,"lang":"en","type":"dissertation","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Chulalongkorn University","keywords":"Residence; Transport engineering; Public transport; Recreation; Stairs; Transit (satellite); Signage; Population; Quarter (Canadian coin); Business; Geography; Advertising; Engineering; Environmental health; Medicine; Civil engineering; Demographic economics","score_opus":0.08602688992513356,"score_gpt":0.43754030539196603,"score_spread":0.35151341546683246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386789908","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98875266,0.000041087773,0.00007887331,0.00033210026,0.00018506811,0.0010969936,0.00008279458,0.000016611439,0.009413834],"genre_scores_gemma":[0.99822086,0.000014968501,0.00011796554,0.000024924337,0.000051788276,0.00011806817,0.00014268229,0.00001574719,0.001293001],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99719983,0.0004005092,0.00068441866,0.0003870001,0.0010087017,0.00031951084],"domain_scores_gemma":[0.99796325,0.0006671622,0.00018999151,0.000509354,0.0005642485,0.00010597013],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0017967542,0.00022467502,0.00039737773,0.000063624466,0.000489683,0.00007617682,0.00065718533,0.00020818593,0.0021290972],"category_scores_gemma":[0.00033572453,0.00012325775,0.0004143884,0.0006526158,0.00022925845,0.00019472282,0.000006141078,0.0003939724,0.0000032935507],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017674846,0.0025133537,0.5976382,0.00077614916,0.00060993846,0.000005256381,0.21153674,0.0009635377,0.08540473,0.0029388596,0.00048220847,0.095363535],"study_design_scores_gemma":[0.00014233444,0.00036895418,0.9658904,0.00010388014,0.0002129284,2.4365573e-8,0.02164453,0.00019167738,0.011144677,0.0001419668,0.0000023479508,0.00015626218],"about_ca_topic_score_codex":0.005510255,"about_ca_topic_score_gemma":0.011738381,"teacher_disagreement_score":0.3682522,"about_ca_system_score_codex":0.00012963724,"about_ca_system_score_gemma":0.0012661662,"threshold_uncertainty_score":0.9987831},"labels":[],"label_agreement":null},{"id":"W4386869973","doi":"10.1016/bs.atpp.2023.08.001","title":"Equity implications of COVID-19 on older adults’ mobility: Evidence and examples from South Asia","year":2023,"lang":"en","type":"book-chapter","venue":"Advances in transport policy and planning","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; McMaster University; University of Toronto","funders":"","keywords":"Equity (law); Pandemic; Context (archaeology); Geography; Demographics; Demographic economics; Development economics; Psychology; Political science; Coronavirus disease 2019 (COVID-19); Sociology; Medicine; Demography; Economics; Disease","score_opus":0.1062372298222811,"score_gpt":0.40194718160071363,"score_spread":0.2957099517784325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386869973","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6534261,0.054316048,0.0016586593,0.0049406877,0.0006431973,0.0035824047,0.008215267,0.00062914856,0.27258846],"genre_scores_gemma":[0.98787767,0.0069695357,0.00010537107,0.00023010923,0.0002713968,0.000035712004,0.00019110339,0.000029611834,0.004289501],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99782395,0.000046483598,0.0006191838,0.00076292775,0.0003680957,0.0003793261],"domain_scores_gemma":[0.9977299,0.0012677531,0.00031561422,0.00033876466,0.000055336473,0.00029261474],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00072761695,0.00031103622,0.0005602177,0.00025123646,0.00032796845,0.000026280513,0.00033625498,0.00034823723,0.000100612604],"category_scores_gemma":[0.00029567594,0.000311688,0.000098962126,0.00017391692,0.0009007752,0.00043979185,0.00002979066,0.0004010637,0.000002273065],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027385642,0.000054670647,0.7964396,0.0009409484,0.000044244607,0.000035812736,0.06267423,0.00011362856,0.0000037065765,0.12321208,0.000019925117,0.016187288],"study_design_scores_gemma":[0.0006205614,0.000081620856,0.7313131,0.0037594775,0.00012382324,4.732133e-7,0.003725411,0.000005005093,0.000009448515,0.23244312,0.027243154,0.0006747752],"about_ca_topic_score_codex":0.009311724,"about_ca_topic_score_gemma":0.018132165,"teacher_disagreement_score":0.33445153,"about_ca_system_score_codex":0.00009537658,"about_ca_system_score_gemma":0.00048480486,"threshold_uncertainty_score":0.99993354},"labels":[],"label_agreement":null},{"id":"W4386874041","doi":"10.1016/j.tbs.2023.100678","title":"Evaluating transit mode choice in the context of the COVID-19 pandemic – A stated preference approach","year":2023,"lang":"en","type":"article","venue":"Travel Behaviour and Society","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Motor Association Foundation for Traffic Safety; University of Calgary","keywords":"Multinomial logistic regression; Pandemic; Business; Public transport; Context (archaeology); Attractiveness; Transit (satellite); Demographic economics; Geography; Transport engineering; Coronavirus disease 2019 (COVID-19); Economics; Medicine; Psychology; Computer science; Engineering","score_opus":0.26579505975361045,"score_gpt":0.42267683918230997,"score_spread":0.15688177942869952,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386874041","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980121,0.000058627003,0.00021797624,0.000563698,0.00003633831,0.00056049443,0.000071214905,0.000043469165,0.00043604104],"genre_scores_gemma":[0.99914086,0.00006982647,0.000055382105,0.0004155055,0.000021164955,0.000042661024,0.000019210156,0.0000058148726,0.00022956087],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99840057,0.00035176528,0.00025790118,0.00024898894,0.00046900377,0.00027174852],"domain_scores_gemma":[0.999326,0.00028554673,0.00008112424,0.00018652613,0.000046847705,0.00007396071],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024286828,0.000102440055,0.00017332805,0.000014070602,0.0005276753,0.000038719252,0.00040136237,0.00012196362,0.000020386777],"category_scores_gemma":[0.00008402952,0.000063013285,0.00014033572,0.00058846927,0.0005051231,0.00010828907,0.000016446058,0.00028757544,4.7111592e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000059155864,0.00005405383,0.7810837,0.000029582343,0.000006115732,2.0676251e-7,0.21767412,0.000031790714,0.0002290522,0.00018523465,0.00009631602,0.00060392724],"study_design_scores_gemma":[0.0005515614,0.0000139718895,0.9293603,0.000008767779,0.00004570998,2.4299e-7,0.06840116,0.0010726592,0.000017256525,0.0004039566,0.000038427122,0.00008599562],"about_ca_topic_score_codex":0.022081014,"about_ca_topic_score_gemma":0.0108515415,"teacher_disagreement_score":0.14927296,"about_ca_system_score_codex":0.000058268204,"about_ca_system_score_gemma":0.00031138276,"threshold_uncertainty_score":0.984431},"labels":[],"label_agreement":null},{"id":"W4386882067","doi":"10.32920/24171420.v1","title":"Open data and injuries in urban areas—A spatial analytical framework of Toronto using machine learning and spatial regressions","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto; Toronto Metropolitan University","funders":"Canadian Institutes of Health Research","keywords":"Metropolitan area; Geography; Injury prevention; Poison control; Occupational safety and health; Suicide prevention; Human factors and ergonomics; Scale (ratio); Public health; Environmental health; Medicine; Cartography","score_opus":0.09782308978445509,"score_gpt":0.41524915415466185,"score_spread":0.31742606437020676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386882067","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9869408,0.0015714776,0.0055779372,0.0007688015,0.00042816225,0.0008057077,0.00038918667,0.00008438435,0.0034335344],"genre_scores_gemma":[0.99547625,0.00044450123,0.0031008993,0.000014516861,0.00023437006,0.0000058219794,0.0002169215,0.000019084491,0.00048762892],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977133,0.00028814955,0.0005232011,0.0008150859,0.00037439485,0.00028584572],"domain_scores_gemma":[0.9986504,0.00033704966,0.0002368691,0.00055050023,0.000059160775,0.0001660588],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015349183,0.00021017088,0.00058432634,0.00005781982,0.00031469128,0.00031384607,0.0011421655,0.00042212204,0.00073224015],"category_scores_gemma":[0.0009697347,0.00018342855,0.000038692735,0.00011827985,0.00055821013,0.00044014916,0.0048431,0.0007020194,4.8646666e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000066666275,0.000050188286,0.99136966,0.000075590826,0.000028565499,0.0000056945782,0.0039774315,0.000006332548,0.0000034246298,0.00060589827,0.000043869226,0.0037666834],"study_design_scores_gemma":[0.00035702798,0.000039082697,0.942606,0.0010552519,0.00014883012,1.5401864e-7,0.0028300397,0.041462176,0.000013759624,0.009538013,0.0014785285,0.00047117233],"about_ca_topic_score_codex":0.7993952,"about_ca_topic_score_gemma":0.81377625,"teacher_disagreement_score":0.04876369,"about_ca_system_score_codex":0.00008521623,"about_ca_system_score_gemma":0.00040632542,"threshold_uncertainty_score":0.8017516},"labels":[{"model":"gemma","categories":["open_science"],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":true,"confidence":"low"},{"model":"gpt","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":true,"confidence":"medium"}],"label_agreement":"split"},{"id":"W4386882217","doi":"10.1155/2023/1868826","title":"Commuting to College: An Analysis of a Suburban Campus on the Outskirts of Madrid","year":2023,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universidad Francisco de Vitoria","keywords":"TRIPS architecture; Transport engineering; Public transport; Geography; Statistical analysis; Pooling; Business; Regional science; Statistics; Engineering; Mathematics; Computer science","score_opus":0.022759328511508692,"score_gpt":0.32730172609077185,"score_spread":0.30454239757926316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386882217","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99826807,0.000022202317,0.00029810373,0.0008160176,0.00015688788,0.00016625182,0.0000941813,0.000013497231,0.00016481924],"genre_scores_gemma":[0.99942315,0.000024266783,0.00037397284,0.000057993755,0.000046673296,0.0000023530763,0.000024898889,0.000006651603,0.000040050345],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99835587,0.00010548756,0.0006934794,0.000109650464,0.00057807117,0.00015743343],"domain_scores_gemma":[0.9984844,0.00024634614,0.0006350544,0.00016328803,0.00037812162,0.000092797905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012101537,0.00008037349,0.00034006144,0.00035454356,0.00015754685,0.000008609517,0.00027906892,0.000046247136,0.00006180415],"category_scores_gemma":[0.00009385829,0.000059706355,0.00023246912,0.002194463,0.00010240543,0.0002823187,0.0000012621828,0.00013029444,8.261846e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005327412,0.000252959,0.8084101,0.000041292882,0.0003653864,0.000025798488,0.06303423,0.11447823,0.005921821,0.0040966086,0.00007437184,0.0027664322],"study_design_scores_gemma":[0.00024772767,0.00016226278,0.97921014,0.00005388748,0.00034048417,4.7653185e-8,0.017095335,0.000059049005,0.001811159,0.0006883345,0.00026532495,0.000066243185],"about_ca_topic_score_codex":0.0003013823,"about_ca_topic_score_gemma":0.008364558,"teacher_disagreement_score":0.17080002,"about_ca_system_score_codex":0.000040515653,"about_ca_system_score_gemma":0.00010113209,"threshold_uncertainty_score":0.46676195},"labels":[],"label_agreement":null},{"id":"W4386882473","doi":"10.32920/24171420","title":"Open data and injuries in urban areas—A spatial analytical framework of Toronto using machine learning and spatial regressions","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto; Toronto Metropolitan University","funders":"Canadian Institutes of Health Research","keywords":"Metropolitan area; Geography; Injury prevention; Poison control; Occupational safety and health; Human factors and ergonomics; Suicide prevention; Scale (ratio); Environmental health; Medicine; Environmental planning; Cartography","score_opus":0.09782308978445509,"score_gpt":0.41524915415466185,"score_spread":0.31742606437020676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386882473","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9869408,0.0015714776,0.0055779372,0.0007688015,0.00042816225,0.0008057077,0.00038918667,0.00008438435,0.0034335344],"genre_scores_gemma":[0.99547625,0.00044450123,0.0031008993,0.000014516861,0.00023437006,0.0000058219794,0.0002169215,0.000019084491,0.00048762892],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977133,0.00028814955,0.0005232011,0.0008150859,0.00037439485,0.00028584572],"domain_scores_gemma":[0.9986504,0.00033704966,0.0002368691,0.00055050023,0.000059160775,0.0001660588],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015349183,0.00021017088,0.00058432634,0.00005781982,0.00031469128,0.00031384607,0.0011421655,0.00042212204,0.00073224015],"category_scores_gemma":[0.0009697347,0.00018342855,0.000038692735,0.00011827985,0.00055821013,0.00044014916,0.0048431,0.0007020194,4.8646666e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000066666275,0.000050188286,0.99136966,0.000075590826,0.000028565499,0.0000056945782,0.0039774315,0.000006332548,0.0000034246298,0.00060589827,0.000043869226,0.0037666834],"study_design_scores_gemma":[0.00035702798,0.000039082697,0.942606,0.0010552519,0.00014883012,1.5401864e-7,0.0028300397,0.041462176,0.000013759624,0.009538013,0.0014785285,0.00047117233],"about_ca_topic_score_codex":0.7993952,"about_ca_topic_score_gemma":0.81377625,"teacher_disagreement_score":0.04876369,"about_ca_system_score_codex":0.00008521623,"about_ca_system_score_gemma":0.00040632542,"threshold_uncertainty_score":0.8017516},"labels":[],"label_agreement":null},{"id":"W4386896522","doi":"10.1177/0739456x231197382","title":"Reviewing Research on Travel and the Built Environment: If You Don’t Like Meta-analysis, Try Meta-regression Analysis Instead!","year":2023,"lang":"en","type":"article","venue":"Journal of Planning Education and Research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Meta-analysis; Meta-regression; Regression analysis; Regression; Psychology; Sociology; Statistics; Mathematics; Medicine","score_opus":0.4209336262991378,"score_gpt":0.5232833714707131,"score_spread":0.10234974517157536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386896522","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9145005,0.056825105,0.00009240897,0.024855794,0.00017574639,0.00045213083,0.0000110091805,0.000012353903,0.0030749491],"genre_scores_gemma":[0.9880584,0.005489669,0.00008818664,0.000087737906,0.00022310283,0.000026463009,0.000010830763,0.0000071825625,0.006008444],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9934043,0.0032273007,0.0005638418,0.00031461174,0.0020936402,0.00039629117],"domain_scores_gemma":[0.9968545,0.0019466839,0.00026047765,0.0003018499,0.0003798973,0.0002566148],"candidate_categories":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.034650978,0.00012766792,0.00088412594,0.0018173913,0.00155938,0.00032617178,0.00043965582,0.00010928982,0.00052011677],"category_scores_gemma":[0.00062574114,0.00006166009,0.0008159497,0.0041276836,0.0008026147,0.0002764203,0.00006404162,0.0010434954,0.000008112985],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009282281,0.0014177588,0.42173088,0.00036873436,0.3056636,0.000078060264,0.21682681,0.0019838302,0.0002570725,0.0031505504,0.029672695,0.017921805],"study_design_scores_gemma":[0.00086918747,0.00018046389,0.6475399,0.00009895791,0.16768035,0.0000033029341,0.087517954,0.0004596561,0.000076046315,0.0041343914,0.09111607,0.0003237151],"about_ca_topic_score_codex":0.0012020944,"about_ca_topic_score_gemma":0.00012362546,"teacher_disagreement_score":0.22580901,"about_ca_system_score_codex":0.000077731915,"about_ca_system_score_gemma":0.00036715472,"threshold_uncertainty_score":0.9997405},"labels":[],"label_agreement":null},{"id":"W4386947313","doi":"10.1016/j.jtrangeo.2023.103708","title":"Slope stress criteria as a complement to traffic stress criteria, and impact on high comfort bicycle accessibility","year":2023,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Stress (linguistics); Transport engineering; Complement (music); Destinations; Computer science; Engineering; Geography; Tourism","score_opus":0.026488158812874005,"score_gpt":0.36211515629784696,"score_spread":0.33562699748497293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386947313","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99578303,0.00012029088,0.000043168766,0.0014187176,0.0007275044,0.0005344426,0.0007630621,0.000103555016,0.0005062323],"genre_scores_gemma":[0.9988735,0.00015144693,0.00021793453,0.00022135742,0.00037249835,0.000012453684,0.000082409446,0.00002707251,0.000041358835],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9963633,0.00018465202,0.001091918,0.0004897805,0.0011299663,0.00074041774],"domain_scores_gemma":[0.99806154,0.00014024448,0.00037545923,0.00036427652,0.00029599268,0.0007624681],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0018477247,0.00035301715,0.00072813395,0.0007477296,0.0005540885,0.00022657627,0.0007585929,0.0001487596,0.0014263608],"category_scores_gemma":[0.000027807211,0.00028179176,0.00058279466,0.0014839103,0.0003558939,0.000722543,0.000024451267,0.00037337927,0.000008806048],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006726785,0.0005371896,0.98779786,0.000101439255,0.00016567617,0.0001658658,0.004611179,0.0002484979,0.00014691554,0.00003450989,0.00051462854,0.0050035864],"study_design_scores_gemma":[0.00088038336,0.0006313212,0.9937296,0.00022609653,0.00012858197,0.0000017141664,0.0017040628,0.000013677924,0.00023174596,0.0006475536,0.0014915054,0.00031376758],"about_ca_topic_score_codex":0.0029537084,"about_ca_topic_score_gemma":0.0039107543,"teacher_disagreement_score":0.005931756,"about_ca_system_score_codex":0.000075717864,"about_ca_system_score_gemma":0.00022031211,"threshold_uncertainty_score":0.9999634},"labels":[],"label_agreement":null},{"id":"W4386976449","doi":"10.1016/j.healthplace.2023.103119","title":"Socioeconomic differences in associations between living in a 20-min neighbourhood and diet, physical activity and self-rated health: Cross-sectional findings from ProjectPLAN","year":2023,"lang":"en","type":"article","venue":"Health & Place","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Neighbourhood (mathematics); Socioeconomic status; Cross-sectional study; Physical activity; Psychology; Gerontology; Environmental health; Geography; Medicine; Population","score_opus":0.05563273154390072,"score_gpt":0.37025408286941197,"score_spread":0.3146213513255113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386976449","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954441,0.00007249672,0.0000036642764,0.0034541322,0.00009111948,0.00045339295,0.00028933297,0.000117137984,0.000074630916],"genre_scores_gemma":[0.9994093,0.000112353424,0.000027867392,0.00009057385,0.00017963485,0.000030108977,0.000059884336,0.000008607414,0.00008166229],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998143,0.0003792051,0.00031422428,0.0004436902,0.00019835729,0.0005215119],"domain_scores_gemma":[0.9982083,0.001336987,0.00018480053,0.00007122983,0.000018084715,0.00018059302],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015728837,0.00012768453,0.00039197964,0.00012260162,0.00070283015,0.00014292628,0.000105336716,0.0001292004,0.000023806388],"category_scores_gemma":[0.00011246561,0.00013513977,0.00003026268,0.00029360206,0.0001283525,0.00038100648,0.00003621239,0.0003652981,0.000007781581],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001448628,0.000119679506,0.9727792,0.000034848737,0.0000090282265,6.666471e-7,0.026495557,0.000001174183,0.0000025409988,0.000047745256,0.000048550064,0.00044650165],"study_design_scores_gemma":[0.0003131521,0.00006300769,0.9976485,0.000039904684,0.0000023420837,3.210724e-8,0.00079788716,0.0005019137,0.000001116269,0.0004883358,0.00002811273,0.000115704875],"about_ca_topic_score_codex":0.08766653,"about_ca_topic_score_gemma":0.17589065,"teacher_disagreement_score":0.088224135,"about_ca_system_score_codex":0.0006071176,"about_ca_system_score_gemma":0.0008979585,"threshold_uncertainty_score":0.91840875},"labels":[],"label_agreement":null},{"id":"W4386990787","doi":"10.1016/j.tbs.2023.100686","title":"How do young people move around in urban spaces?: Exploring trip patterns of generation-Z in urban areas by examining travel histories on Google Maps Timeline","year":2023,"lang":"en","type":"article","venue":"Travel Behaviour and Society","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Timeline; Metropolitan area; TRIPS architecture; Trip generation; Geography; Travel behavior; Quarter (Canadian coin); Population; Public transport; Transport engineering; Advertising; Business; Engineering; Demography; Sociology","score_opus":0.06505933765668513,"score_gpt":0.277256125531599,"score_spread":0.21219678787491386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386990787","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99812067,0.00021917088,0.00010249764,0.00027883894,0.0002707631,0.0003105841,0.0001927681,0.000044938137,0.00045978944],"genre_scores_gemma":[0.9953835,0.00025302923,0.000056160927,0.000022769675,0.00021329241,0.00006715257,0.00022806364,0.00002434683,0.0037517124],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980564,0.00010288065,0.00040827383,0.0004927269,0.00047640209,0.0004632833],"domain_scores_gemma":[0.99938846,0.00008947496,0.00013978199,0.00019680246,0.00005688881,0.00012860606],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000905401,0.00022846206,0.00041594033,0.000093964125,0.0002851034,0.00015660257,0.00019908322,0.000196728,0.000031658812],"category_scores_gemma":[0.00003475867,0.00023728608,0.00012753162,0.00056896434,0.00015010941,0.0004912203,0.000021612592,0.00030625542,0.0000010276128],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010070894,0.00013138316,0.8648083,0.000029330422,0.000006907284,0.0000040559535,0.13277408,0.000004547833,0.00078953116,0.00019553053,0.00090955326,0.0003366895],"study_design_scores_gemma":[0.00074172026,0.000050019553,0.90917426,0.000040295494,0.000025110097,1.4244219e-7,0.08881829,0.000110255554,0.0006687276,0.00003655852,0.000085568834,0.0002490393],"about_ca_topic_score_codex":0.008843615,"about_ca_topic_score_gemma":0.013312894,"teacher_disagreement_score":0.04436596,"about_ca_system_score_codex":0.0002387006,"about_ca_system_score_gemma":0.000098732686,"threshold_uncertainty_score":0.9977566},"labels":[],"label_agreement":null},{"id":"W4386990854","doi":"10.1016/j.cities.2023.104568","title":"The impact of residential and non-residential environments on non-communicable disease in Ghanaian cities: The role of gender","year":2023,"lang":"en","type":"article","venue":"Cities","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Non-communicable disease; Environmental health; Multilevel model; Public health; Geography; Socioeconomics; Multilevel modelling; Low income; Demography; Demographic economics; Medicine; Sociology; Economics","score_opus":0.021137431276729995,"score_gpt":0.2992069066318037,"score_spread":0.2780694753550737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386990854","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944269,0.000460802,0.000001189415,0.00012801302,0.00006620512,0.00019630969,0.000039750914,0.000008521091,0.0046722735],"genre_scores_gemma":[0.998469,0.00042450242,0.0000013099175,0.000008176047,0.000059803097,0.00001476545,0.000006512454,0.000007175024,0.0010087423],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99893486,0.00013499754,0.00023231114,0.00012398782,0.0003306056,0.00024323918],"domain_scores_gemma":[0.99925506,0.00024825885,0.00009336059,0.00033069277,0.000012809289,0.00005978831],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060654356,0.00008637961,0.0001524739,0.000060418726,0.00045271363,0.00005573437,0.00043841696,0.000032173786,0.000087868626],"category_scores_gemma":[0.000050121896,0.00005411159,0.00010282042,0.0001821932,0.0010646223,0.00016061937,0.00008045231,0.00010762385,0.0000045284305],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013632586,0.00004376352,0.9736772,0.000020338932,0.00004044314,0.0000035752935,0.024362309,0.00012481588,0.0003597722,0.0005517272,0.00042793824,0.0002518022],"study_design_scores_gemma":[0.0001802189,0.000022275864,0.9678906,0.000026919515,0.000014546551,1.3944625e-8,0.02147488,0.00007252236,0.00040094793,0.009685534,0.00017153141,0.000059978516],"about_ca_topic_score_codex":0.024585895,"about_ca_topic_score_gemma":0.0060536624,"teacher_disagreement_score":0.018532233,"about_ca_system_score_codex":0.000039683324,"about_ca_system_score_gemma":0.00012613842,"threshold_uncertainty_score":0.98190945},"labels":[],"label_agreement":null},{"id":"W4387000157","doi":"10.1016/j.healthplace.2023.103127","title":"Child and youth physical activity throughout the COVID-19 pandemic: The changing role of the neighbourhood built and social environments","year":2023,"lang":"en","type":"article","venue":"Health & Place","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; Children's Hospital of Eastern Ontario; University of Ottawa; Western University; University of Toronto; Toronto Metropolitan University; Dalhousie University; University of British Columbia","funders":"","keywords":"Neighbourhood (mathematics); Odds; Pandemic; Coronavirus disease 2019 (COVID-19); Ethnic group; Demography; Geography; 2019-20 coronavirus outbreak; Physical activity; Cross-sectional study; Sociology; Medicine; Logistic regression","score_opus":0.05692433361579757,"score_gpt":0.36698210378476964,"score_spread":0.31005777016897207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387000157","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96661705,0.00026869323,0.000022085658,0.0319598,0.00007328492,0.00043798194,0.00006600174,0.000035293426,0.0005198113],"genre_scores_gemma":[0.99748677,0.00014968934,0.0000010691145,0.0019725119,0.00025479673,0.000010553796,0.000003006426,0.0000068645168,0.000114752336],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9986446,0.0003672094,0.00010868757,0.00020634607,0.0003199798,0.00035319445],"domain_scores_gemma":[0.999351,0.00025175582,0.00014447157,0.00016244796,0.0000047662907,0.000085532374],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0012920274,0.00009189957,0.0001566134,0.00001422167,0.0025439907,0.00003401413,0.00024014758,0.000053766973,0.000008925053],"category_scores_gemma":[0.00005833283,0.000048039197,0.000052465144,0.00025441562,0.00066695444,0.00010509842,0.00009941422,0.00024637702,0.000001884088],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003989491,0.000081608676,0.4737348,0.000048346967,0.000019419647,1.743102e-7,0.5154344,0.0000078201465,0.00004249889,0.001729516,0.00014265934,0.0087188715],"study_design_scores_gemma":[0.00035905658,0.000022029912,0.9324829,0.000011892028,0.000029264156,4.2605328e-7,0.052113373,0.00013329524,0.000030014406,0.0014859526,0.013231713,0.000100089164],"about_ca_topic_score_codex":0.0052287984,"about_ca_topic_score_gemma":0.0032463619,"teacher_disagreement_score":0.46332103,"about_ca_system_score_codex":0.00008457601,"about_ca_system_score_gemma":0.00019647514,"threshold_uncertainty_score":0.99875456},"labels":[],"label_agreement":null},{"id":"W4387059412","doi":"10.1177/00139165231201611","title":"Contributions and Limitations Walk Score <sup>®</sup> in the Context of Walkability: A Scoping Review","year":2023,"lang":"en","type":"review","venue":"Environment and Behavior","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Hospital; University of Alberta","funders":"","keywords":"Walkability; Operationalization; Conceptualization; Metric (unit); Context (archaeology); Scope (computer science); Construct (python library); Psychology; Built environment; Applied psychology; Computer science; Engineering; Geography; Artificial intelligence","score_opus":0.13642728576804541,"score_gpt":0.38081906373091534,"score_spread":0.24439177796286993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387059412","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00733447,0.9887363,0.0000017808658,0.00029952425,0.000026626074,0.003352356,0.00014877733,0.000015555546,0.00008465754],"genre_scores_gemma":[0.0049557034,0.9939863,0.000011972513,0.000042132506,0.000039848266,0.00071187457,0.00011936206,0.000011631031,0.000121150246],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980668,0.00040874607,0.0006533635,0.00034656274,0.00029277816,0.00023178571],"domain_scores_gemma":[0.9987684,0.00066829124,0.00021146587,0.0002657128,0.0000126734,0.00007348584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014106965,0.00019834151,0.00087032496,0.000060178652,0.00028065077,0.00003780687,0.000223561,0.00016456057,0.00009199485],"category_scores_gemma":[0.00018042454,0.00013747432,0.00018619643,0.0002447866,0.0006466269,0.000119252734,0.000047934787,0.00026344546,0.000011652514],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000134393,0.00028856573,0.0174469,0.026179958,0.000022841139,0.000011054056,0.0036116608,6.347991e-8,1.3726367e-7,0.00032363134,0.00006883003,0.952045],"study_design_scores_gemma":[0.00068513205,0.00013365435,0.041300762,0.28786215,0.0074517387,0.0000036145627,0.0059750793,0.0000013642297,5.449675e-7,0.00027649038,0.65534455,0.0009649308],"about_ca_topic_score_codex":0.0003322909,"about_ca_topic_score_gemma":0.0012348478,"teacher_disagreement_score":0.9510801,"about_ca_system_score_codex":0.00007472886,"about_ca_system_score_gemma":0.00013282531,"threshold_uncertainty_score":0.560604},"labels":[],"label_agreement":null},{"id":"W4387061182","doi":"10.1249/01.mss.0000986200.40605.95","title":"Neighborhood Walkability Influences Walking: Findings From A Longitudinal Residential Relocation Study","year":2023,"lang":"en","type":"article","venue":"Medicine & Science in Sports & Exercise","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Alberta Health Services; University of Calgary","funders":"","keywords":"Walkability; Relocation; Built environment; Medicine; Environmental health; Gerontology; Demography; Baseline (sea); Population; Geography; Physical activity; Physical therapy; Engineering","score_opus":0.03051388632319654,"score_gpt":0.3376282594827776,"score_spread":0.30711437315958107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387061182","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9941308,0.000045542638,0.000011200682,0.0016763156,0.0013230373,0.0009779616,0.0000031492993,0.00025464626,0.0015773589],"genre_scores_gemma":[0.9991318,0.00010346009,0.000031539086,0.0000562211,0.0003100623,0.00007343138,0.000013614921,0.000011274773,0.0002686019],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9941767,0.00012331609,0.0008635946,0.001195211,0.002795917,0.0008452869],"domain_scores_gemma":[0.99829817,0.00021458541,0.00020509138,0.000659761,0.00029324566,0.00032915754],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00908438,0.00024124078,0.0004988959,0.00066921854,0.0011388072,0.000147095,0.0012458746,0.00010373381,0.000946152],"category_scores_gemma":[0.0013302411,0.00020206228,0.00006343017,0.006552406,0.0029471817,0.0021584346,0.00012804133,0.00032737548,0.000043119366],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004133343,0.00018712586,0.9502241,0.00000822304,4.4550862e-7,0.000102017104,0.04072453,0.000009965677,0.000057411216,0.000022784589,0.0001630331,0.00845903],"study_design_scores_gemma":[0.00046349902,0.00006808419,0.9725734,0.00016062138,0.000043459157,2.0276437e-7,0.02108963,0.00004948236,0.000010061787,0.0051679094,0.00015715815,0.0002164929],"about_ca_topic_score_codex":0.042269006,"about_ca_topic_score_gemma":0.015540037,"teacher_disagreement_score":0.026728967,"about_ca_system_score_codex":0.00027236503,"about_ca_system_score_gemma":0.0007374122,"threshold_uncertainty_score":0.9999671},"labels":[],"label_agreement":null},{"id":"W4387081641","doi":"10.1186/s12942-023-00346-3","title":"Physical environment features that predict outdoor active play can be measured using Google Street View images","year":2023,"lang":"en","type":"article","venue":"International Journal of Health Geographics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Learning Partnership; BC Children's Hospital; Simon Fraser University; Brock University; University of British Columbia; Queen's University","funders":"Canadian Institutes of Health Research; Queen's University","keywords":"Pedestrian; Variety (cybernetics); Computer science; Context (archaeology); Measure (data warehouse); Machine learning; Artificial intelligence; Data science; Data mining; Transport engineering; Geography; Engineering","score_opus":0.061476916489914046,"score_gpt":0.3699897355479868,"score_spread":0.30851281905807276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387081641","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9786945,0.0008761379,0.0001759706,0.018436993,0.0011306572,0.00020818664,0.0002705479,0.000038620645,0.00016835917],"genre_scores_gemma":[0.99719757,0.0014448495,0.00017594801,0.0004303275,0.00065948645,0.0000029664102,0.000029593612,0.000012088263,0.00004718474],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997039,0.00027186677,0.00043770883,0.00019153467,0.001714319,0.0003455621],"domain_scores_gemma":[0.998649,0.00016168614,0.0006129687,0.000107254054,0.00024842977,0.00022068493],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014665971,0.00013774789,0.0002957164,0.0002824985,0.00037350075,0.000086788226,0.00055917114,0.00007604653,0.000046928293],"category_scores_gemma":[0.000087542954,0.00011803082,0.0002557808,0.0002815887,0.0002996756,0.0003676452,0.000040829604,0.0004052479,0.0000017753073],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018166151,0.000555098,0.94461554,0.000051330135,0.0006204214,0.000113342096,0.015265874,0.0005071903,0.00022890013,0.0005484355,0.0031088656,0.034203365],"study_design_scores_gemma":[0.0006516901,0.00012589486,0.9781212,0.0001836738,0.00006366555,0.0000049113432,0.0037114846,0.00006173127,0.0003424389,0.00258309,0.013965341,0.00018486781],"about_ca_topic_score_codex":0.0033843762,"about_ca_topic_score_gemma":0.0031548082,"teacher_disagreement_score":0.034018498,"about_ca_system_score_codex":0.00026008746,"about_ca_system_score_gemma":0.00057643995,"threshold_uncertainty_score":0.5116187},"labels":[],"label_agreement":null},{"id":"W4387253166","doi":"10.1080/23748834.2023.2260133","title":"Measuring walkability and bikeability for health equity and intervention research: a scoping review","year":2023,"lang":"en","type":"review","venue":"Cities & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Public Health Agency of Canada; University of Ottawa; Memorial University of Newfoundland; University of Saskatchewan; Université de Sherbrooke","funders":"Public Health Agency; Université de Sherbrooke","keywords":"Walkability; Neighbourhood (mathematics); Built environment; Audit; Health equity; Equity (law); Psychological intervention; Level design; Environmental health; Geography; Gerontology; Medicine; Psychology; Public health; Business; Physical activity; Nursing; Political science; Computer science; Accounting; Engineering; Physical therapy","score_opus":0.7055809637527103,"score_gpt":0.6152793770076183,"score_spread":0.09030158674509203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387253166","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00008261284,0.98585165,0.000068405105,0.0038336397,0.00030020022,0.009292183,0.000197814,0.00016557758,0.0002079354],"genre_scores_gemma":[0.00013828318,0.9981088,0.000118434524,0.0003232646,0.00027016134,0.000745689,0.00008947705,0.000038100006,0.00016778473],"study_design_codex":"design_other","study_design_gemma":"systematic_review","domain_scores_codex":[0.99150723,0.0036668521,0.0017965203,0.0010490069,0.000817477,0.0011628846],"domain_scores_gemma":[0.9961602,0.0017459586,0.0007220936,0.0005316373,0.00026954457,0.00057056674],"candidate_categories":["metaresearch","metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.051745225,0.0003188329,0.0024541318,0.0001984636,0.0020720814,0.00021064018,0.00044521157,0.00021934161,0.00003565506],"category_scores_gemma":[0.0024668141,0.00028818828,0.00040002947,0.00073628785,0.001124177,0.000290972,0.00040811417,0.0006876217,0.000004201773],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000030194778,0.000023008295,0.00017778562,0.47142163,0.000010510828,1.6678123e-7,0.0008464761,1.6271757e-9,5.3156546e-10,0.00029260275,0.00031545837,0.52690935],"study_design_scores_gemma":[0.0001584675,0.00017258713,0.0006327651,0.6619649,0.000069812784,5.8396085e-7,0.00077137473,6.906009e-7,1.4593513e-8,0.007811475,0.3281259,0.0002914494],"about_ca_topic_score_codex":0.014410192,"about_ca_topic_score_gemma":0.053970303,"teacher_disagreement_score":0.5266179,"about_ca_system_score_codex":0.0014028137,"about_ca_system_score_gemma":0.0054528634,"threshold_uncertainty_score":0.999957},"labels":[],"label_agreement":null},{"id":"W4387274969","doi":"10.16997/ats.1509","title":"A Tale of Two Cities and Cycling: Halifax, Canada versus Seville, Spain","year":2023,"lang":"en","type":"article","venue":"Active Travel Studies","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Saint Mary's University; Dalhousie University","funders":"","keywords":"Cycling; Bureaucracy; Business; Environmental planning; Transport engineering; Geography; Political science; Engineering","score_opus":0.07172745506772327,"score_gpt":0.35242438058810227,"score_spread":0.280696925520379,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387274969","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.985592,0.00083319505,0.0000037905718,0.00080284826,0.0003371607,0.00013559715,0.00007493075,0.00003392747,0.012186569],"genre_scores_gemma":[0.998301,0.0005680503,0.00002132984,0.000030134128,0.00008537219,0.000012470151,0.000004826368,0.000005543752,0.00097127334],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990898,0.000063823885,0.00015393186,0.00018643601,0.000270225,0.00023581498],"domain_scores_gemma":[0.99916935,0.0005236446,0.00007034743,0.00007785918,0.00010700354,0.00005181437],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030526755,0.00009647058,0.00024504,0.000037913003,0.0003947698,0.000010539217,0.000100804915,0.000026106836,0.000021131462],"category_scores_gemma":[0.00021839044,0.00008571399,0.00003675548,0.00029531712,0.0006022876,0.000111736124,0.00003236355,0.000068831316,0.0000011696904],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041399585,0.00009654135,0.7707896,0.00026858656,0.0013128645,0.00006781705,0.18744108,0.000016099018,0.0005752512,0.00967451,0.006217607,0.023126036],"study_design_scores_gemma":[0.0008676657,0.000045575347,0.7530754,0.000036616944,0.00006779726,5.9590217e-8,0.23923793,0.000006923504,0.0015288999,0.00211485,0.0028145108,0.00020376142],"about_ca_topic_score_codex":0.64913875,"about_ca_topic_score_gemma":0.94885105,"teacher_disagreement_score":0.29971233,"about_ca_system_score_codex":0.00009031821,"about_ca_system_score_gemma":0.00022689016,"threshold_uncertainty_score":0.3531977},"labels":[],"label_agreement":null},{"id":"W4387296347","doi":"10.17269/s41997-023-00816-y","title":"Moving on income as a social determinant of health: free transit for social assistance recipients in Kingston, Ontario","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Kingston Health Sciences Centre; Queen's University","funders":"","keywords":"Equity (law); Business; Public transport; Intervention (counseling); Social equality; Pilot program; Government (linguistics); Social determinants of health; Public housing; Economic growth; Health care; Political science; Medicine; Transport engineering; Economics; Engineering; Nursing; Medical education","score_opus":0.11675011854234403,"score_gpt":0.3631364113897719,"score_spread":0.24638629284742786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387296347","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94890916,0.00009449734,0.00014167605,0.04916138,0.0007011506,0.00032310342,0.00008255448,0.000010153443,0.00057629787],"genre_scores_gemma":[0.9982939,0.000009823137,0.000109208704,0.0009458738,0.00030119554,0.0000069091375,0.0000083097675,0.000014500329,0.00031030012],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.996799,0.00039443903,0.0010458676,0.0002024311,0.0004964321,0.0010618453],"domain_scores_gemma":[0.9978109,0.0001260899,0.00077261863,0.00011124057,0.0002497909,0.0009293677],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008277155,0.00012164169,0.0005505726,0.00062609377,0.0011189058,0.0000811636,0.00057187537,0.00013556336,0.00008206955],"category_scores_gemma":[0.00051567535,0.00012717501,0.00018782167,0.0009062868,0.00023368424,0.00035979657,0.0000062730305,0.00039829576,0.000001530553],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.00003975024,0.000068288755,0.7676816,0.0001317898,0.000021207408,0.00003386983,0.15843627,0.0000022323418,0.0000017874037,0.0036988726,0.004228444,0.06565587],"study_design_scores_gemma":[0.0007427798,0.00020269256,0.9559899,0.00013228168,0.0000032035455,6.3047116e-7,0.0036563608,0.0000028666097,0.0000010020096,0.002571006,0.036593113,0.000104185594],"about_ca_topic_score_codex":0.69050556,"about_ca_topic_score_gemma":0.99440694,"teacher_disagreement_score":0.30390137,"about_ca_system_score_codex":0.0038846266,"about_ca_system_score_gemma":0.036658432,"threshold_uncertainty_score":0.99993926},"labels":[],"label_agreement":null},{"id":"W4387301426","doi":"10.1016/j.jpubtr.2023.100068","title":"Measuring the timing between public transport provision and residential development in greenfield estates","year":2023,"lang":"en","type":"article","venue":"Journal of Public Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Public transport; Precinct; Service (business); Government (linguistics); Business; Quarter (Canadian coin); Census; Taxis; Level of service; Transport engineering; Geography; Marketing; Engineering; Environmental health","score_opus":0.11232313549429407,"score_gpt":0.3192875297256566,"score_spread":0.20696439423136254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387301426","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99236447,0.00011158774,0.0011740021,0.005808782,0.00015710291,0.00019446302,0.0000040552254,0.000037510592,0.00014805325],"genre_scores_gemma":[0.99935186,0.00009727476,0.00025315434,0.00002003224,0.00016435196,0.0000054845345,0.000029408564,0.000009546042,0.00006890336],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978631,0.00012623491,0.00077494426,0.00016288202,0.00074383226,0.00032897625],"domain_scores_gemma":[0.9990906,0.00015489267,0.00030263612,0.000078599645,0.00022385197,0.00014938384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040857047,0.00010517761,0.00020610522,0.00036774835,0.0003909051,0.00012651364,0.0002845947,0.00009947304,0.000036693884],"category_scores_gemma":[0.00009991201,0.00007943981,0.000076943965,0.0008584185,0.00013023203,0.0013322348,0.0000028048864,0.0002833816,0.0000017622722],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012705525,0.000024991814,0.9483593,0.00003090208,0.000020659945,0.00002382194,0.019281765,0.000009134817,0.0000745729,0.00029657633,0.000023459557,0.031842127],"study_design_scores_gemma":[0.0003688237,0.000020359816,0.9913134,0.00005542712,0.000023716868,3.6122364e-7,0.003477704,0.000005887097,0.0001702848,0.00071565533,0.003754243,0.0000941619],"about_ca_topic_score_codex":0.00071243977,"about_ca_topic_score_gemma":0.0332344,"teacher_disagreement_score":0.04295409,"about_ca_system_score_codex":0.000066330125,"about_ca_system_score_gemma":0.00055206544,"threshold_uncertainty_score":0.98440653},"labels":[],"label_agreement":null},{"id":"W4387325974","doi":"10.1289/ehp13695","title":"Invited Perspective: Studying Walkability and Cancer Incidence—A Step in the Right Direction","year":2023,"lang":"en","type":"letter","venue":"Environmental Health Perspectives","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Walkability; Downtown; Public health; Population health; Population; Gerontology; Library science; Geography; Built environment; Medicine; Environmental health; Engineering; Archaeology; Nursing","score_opus":0.029713897579712018,"score_gpt":0.3506815111577769,"score_spread":0.3209676135780649,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387325974","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26849788,0.008956874,0.000004304787,0.7196009,0.0004131886,0.0016198244,0.00014664976,0.00011263055,0.00064771314],"genre_scores_gemma":[0.84510756,0.008658095,0.00004051291,0.1418433,0.0028241198,0.0004304785,0.000065459615,0.00006260495,0.0009678913],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99516016,0.0015751381,0.00045822823,0.0011011573,0.0009510655,0.0007542221],"domain_scores_gemma":[0.9987101,0.0005170427,0.0002679698,0.00037758733,0.000020357851,0.00010697422],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0020329682,0.0003556684,0.00050348474,0.00020070715,0.0014089298,0.000113138754,0.0004499751,0.0004132317,0.00026091016],"category_scores_gemma":[0.00009007391,0.0002871783,0.00012656779,0.0005129925,0.0013722004,0.00038312044,0.000076670956,0.0020195406,0.000013945563],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004146259,0.0004969033,0.3948153,0.00020047778,0.00006936696,0.00011081889,0.45693484,0.0000021781577,0.0000059266226,0.00011845019,0.14365745,0.0035468545],"study_design_scores_gemma":[0.00025161786,0.00008330973,0.6589329,0.0000962022,0.000024606235,8.362298e-7,0.19951558,0.0000074899635,8.959169e-7,0.0010329435,0.13974011,0.00031348667],"about_ca_topic_score_codex":0.100434504,"about_ca_topic_score_gemma":0.056100685,"teacher_disagreement_score":0.5777576,"about_ca_system_score_codex":0.004416312,"about_ca_system_score_gemma":0.0001714674,"threshold_uncertainty_score":0.99995804},"labels":[],"label_agreement":null},{"id":"W4387368711","doi":"10.1080/02697459.2023.2259752","title":"Do young adults want to live downtown? Understanding attitudes in Prince George, BC","year":2023,"lang":"en","type":"article","venue":"Planning Practice and Research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Downtown; George (robot); Population; Geography; Phenomenon; Boom; Sociology; Economic growth; History; Demography; Engineering; Economics; Archaeology","score_opus":0.20683280926350692,"score_gpt":0.485032955102147,"score_spread":0.27820014583864006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387368711","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96234494,0.00031448557,0.00003178418,0.0074991896,0.00013856417,0.00041632765,0.0000044841718,0.000080215235,0.02916998],"genre_scores_gemma":[0.9974205,0.00046872627,0.00013158694,0.000046467285,0.0001350844,0.000026295178,0.0000055429114,0.00000872986,0.0017570542],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99743223,0.00042135955,0.00018939318,0.0004106178,0.00088048435,0.00066593534],"domain_scores_gemma":[0.997584,0.0018688272,0.000043166954,0.00015433613,0.00014543126,0.00020423745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006652385,0.000084924766,0.00013258289,0.00033029894,0.0009237806,0.0003523812,0.00026269272,0.00009676275,0.000100258214],"category_scores_gemma":[0.002318903,0.00007489226,0.000021141228,0.0013318611,0.00022765639,0.000759763,0.00012477055,0.0005677327,0.00013368121],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024099153,0.00007039674,0.88949615,0.00007967431,0.000012696406,0.00023350888,0.10733861,0.000019903917,0.000040863946,0.0009639682,0.0006983369,0.0008048819],"study_design_scores_gemma":[0.0003262847,0.00008301514,0.81113034,0.000493855,0.00000764483,0.0000013078884,0.17630456,0.000035888876,0.000022063903,0.001141533,0.010271755,0.00018174123],"about_ca_topic_score_codex":0.015962128,"about_ca_topic_score_gemma":0.009027678,"teacher_disagreement_score":0.07836582,"about_ca_system_score_codex":0.00018652224,"about_ca_system_score_gemma":0.00020911302,"threshold_uncertainty_score":0.9905907},"labels":[],"label_agreement":null},{"id":"W4387408488","doi":"10.3390/urbansci7040103","title":"Inclusive and Safe Mobility Needs of Senior Citizens: Implications for Age-Friendly Cities and Communities","year":2023,"lang":"en","type":"article","venue":"Urban Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Inclusion (mineral); Public transport; Public relations; Universal design; Business; Political science; Sociology; Engineering; Transport engineering","score_opus":0.036327989607263744,"score_gpt":0.3383544067809215,"score_spread":0.30202641717365775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387408488","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99290043,0.00017299216,0.0001827645,0.0013436934,0.00008536849,0.00040606738,0.00014252008,0.00007445976,0.0046916897],"genre_scores_gemma":[0.99867845,0.00007664446,0.00036810688,0.000065317705,0.000041002284,0.000045918227,0.000009016779,0.000004379994,0.0007111855],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989939,0.000050585233,0.00022188031,0.00017833721,0.0002366405,0.00031868683],"domain_scores_gemma":[0.9987554,0.00050120207,0.0000870541,0.00027991855,0.00025491117,0.0001215435],"candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0016221853,0.00008579113,0.00017030789,0.0002054093,0.0016464674,0.00011763643,0.00043646133,0.00004621038,0.00001609608],"category_scores_gemma":[0.00027047956,0.000080037695,0.000035539455,0.0012587783,0.0063026785,0.00047654577,0.00016101975,0.000068485184,8.276267e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015291429,0.00003733656,0.7970824,0.000077021534,0.0000062395184,3.225396e-7,0.13442114,0.0000015040565,0.001688151,0.062292125,0.00084352016,0.0035349405],"study_design_scores_gemma":[0.00020345171,0.00005768951,0.8708599,0.00002239642,0.000015594076,2.850229e-7,0.09055851,0.00006033568,0.00036366508,0.03380699,0.0039057662,0.00014539479],"about_ca_topic_score_codex":0.003115171,"about_ca_topic_score_gemma":0.0031541158,"teacher_disagreement_score":0.07377752,"about_ca_system_score_codex":0.000043453434,"about_ca_system_score_gemma":0.00027444112,"threshold_uncertainty_score":0.9996533},"labels":[],"label_agreement":null},{"id":"W4387446111","doi":"10.1155/2023/6629507","title":"What Affects Bus Passengers’ Travel Time? A View from the Built Environment and Weather Condition","year":2023,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Education Department of Shaanxi Province; Xi'an University of Architecture and Technology; Natural Science Foundation of Shaanxi Province; National Natural Science Foundation of China","keywords":"Transport engineering; Visibility; Computer science; Global Positioning System; Service (business); Smart card; Real-time computing; Meteorology; Geography; Engineering; Telecommunications; Business; Computer security","score_opus":0.014616297891951959,"score_gpt":0.280278673399904,"score_spread":0.265662375507952,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387446111","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99445957,0.0014335074,0.00033569918,0.0031071638,0.00036372428,0.00021348576,0.000023265284,0.000018980862,0.000044582128],"genre_scores_gemma":[0.99399275,0.0052494276,0.00022107856,0.00012088359,0.00019634601,0.0000058898545,0.00005376847,0.0000099559165,0.0001499064],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99894744,0.00008485279,0.00028665338,0.00013704706,0.0003900347,0.00015396088],"domain_scores_gemma":[0.99931204,0.00021856287,0.00026137073,0.00008471143,0.000041356256,0.0000819286],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004933865,0.00009519502,0.00017952466,0.000039820654,0.00021297995,0.000064653774,0.00011942551,0.00006211284,0.00022153587],"category_scores_gemma":[0.000014865718,0.000069287824,0.00008978283,0.00017313776,0.00013711245,0.0011424028,0.0000010812146,0.000142161,0.000015200044],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00096576277,0.0005774217,0.26675943,0.00018468636,0.00055656885,0.00039666705,0.32237628,0.0062634717,0.12506463,0.0012989828,0.0023303728,0.27322575],"study_design_scores_gemma":[0.00058959285,0.000057358688,0.9782939,0.00012824668,0.00009506703,3.1117636e-7,0.009220191,0.000007741997,0.0006191536,0.003861189,0.0070313714,0.00009587685],"about_ca_topic_score_codex":0.0001024949,"about_ca_topic_score_gemma":0.0007621325,"teacher_disagreement_score":0.7115345,"about_ca_system_score_codex":0.00003760588,"about_ca_system_score_gemma":0.000044459066,"threshold_uncertainty_score":0.28254756},"labels":[],"label_agreement":null},{"id":"W4387456568","doi":"10.1080/21650020.2023.2264365","title":"‘All Ages and Abilities’: exploring the language of municipal cycling policies","year":2023,"lang":"en","type":"article","venue":"Urban Planning and Transport Research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University; Simon Fraser University","funders":"Canadian Institutes of Health Research; Public Health Agency of Canada","keywords":"Terminology; CLARITY; Ambiguity; Equity (law); Cycling; Work (physics); Meaning (existential); Harm; Environmental planning; Geography; Computer science; Psychology; Political science; Linguistics; Engineering; Social psychology","score_opus":0.21421335823940707,"score_gpt":0.43431393964906734,"score_spread":0.22010058140966027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387456568","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99327284,0.0014642236,0.0000017097619,0.0007819677,0.00006199734,0.00018122158,0.000021399388,0.00009465936,0.00411997],"genre_scores_gemma":[0.99807996,0.00035219244,0.000015700414,0.00001666403,0.00014867567,0.000027313872,0.00002297347,0.000011149272,0.0013253635],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982597,0.00016215227,0.00023065112,0.00025000962,0.0005569561,0.0005405227],"domain_scores_gemma":[0.9988141,0.0007657453,0.00003099562,0.00020266116,0.00006182811,0.00012464433],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030859937,0.00009584439,0.00018185964,0.00019388637,0.00075407804,0.000058598678,0.00026600316,0.000061260595,0.000029041788],"category_scores_gemma":[0.0001014901,0.000071469745,0.00004702291,0.0005737039,0.0011711569,0.00021459328,0.000030060082,0.00036827283,0.0000022982572],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022260625,0.000012402551,0.76380956,0.0000767767,0.000016409025,0.000022796408,0.23435663,0.000009901621,0.0001586297,0.00074461795,0.00009512578,0.0006748596],"study_design_scores_gemma":[0.00014244154,0.000029798928,0.9158364,0.00009341956,0.000013492097,2.7304657e-7,0.07942653,0.000032759865,0.00020321026,0.00046738132,0.0036614388,0.00009288271],"about_ca_topic_score_codex":0.021087334,"about_ca_topic_score_gemma":0.0016060773,"teacher_disagreement_score":0.15493011,"about_ca_system_score_codex":0.00001496213,"about_ca_system_score_gemma":0.000052616597,"threshold_uncertainty_score":0.9854313},"labels":[],"label_agreement":null},{"id":"W4387481321","doi":"10.1515/9780887554636-008","title":"Increasing Energy Costs, Climate Change, and Personal Transportation in Rural Ontario","year":2015,"lang":"en","type":"book-chapter","venue":"University of Manitoba Press eBooks","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Climate change; Energy (signal processing); Business; Natural resource economics; Environmental planning; Geography; Economics; Oceanography","score_opus":0.06056601648198649,"score_gpt":0.2287157681372384,"score_spread":0.16814975165525192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387481321","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24756113,0.00039826642,0.0000055844057,0.00001670257,0.00009767481,0.00024610583,0.0001315443,0.000034808145,0.7515082],"genre_scores_gemma":[0.8951285,0.00037644256,0.0000981741,0.000021975618,0.00014203331,5.9813647e-7,0.00014131151,0.000020346883,0.10407064],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99901855,0.00004755465,0.00015545267,0.00023987128,0.00032986724,0.00020871765],"domain_scores_gemma":[0.9994568,0.000034424636,0.00018197106,0.00009665035,0.000110848814,0.00011927369],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028343312,0.00016776497,0.00029217923,0.000108478904,0.00018776681,0.000020241238,0.00019876163,0.00028121818,0.0000721663],"category_scores_gemma":[0.0000020657628,0.00021458935,0.00007815464,0.000007127191,0.00042680887,0.00019763547,0.000023690642,0.00020648733,6.9781646e-7],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017463356,0.00010710234,0.29915482,0.0003197629,0.00017023062,0.00040939846,0.16372102,8.2681186e-7,0.0000162976,0.4534664,0.00033595072,0.08055187],"study_design_scores_gemma":[0.0025136222,0.0001344957,0.21402864,0.0014269566,0.0005177182,0.0000018506825,0.018187119,0.000016891821,0.000009444357,0.005992608,0.75600183,0.0011688119],"about_ca_topic_score_codex":0.83879006,"about_ca_topic_score_gemma":0.9877587,"teacher_disagreement_score":0.7556659,"about_ca_system_score_codex":0.0003995197,"about_ca_system_score_gemma":0.0001737237,"threshold_uncertainty_score":0.87507004},"labels":[],"label_agreement":null},{"id":"W4387514048","doi":"10.1080/13658816.2023.2264921","title":"Predicting households’ residential mobility trajectories with geographically localized interpretable model-agnostic explanation (GLIME)","year":2023,"lang":"en","type":"article","venue":"International Journal of Geographical Information Systems","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Western University; National Research Foundation of Korea; National Science Foundation","keywords":"Leverage (statistics); Computer science; Data science; Artificial intelligence; Deep learning; Individual mobility; Analytics; Deep neural networks; Machine learning","score_opus":0.0163823910387454,"score_gpt":0.2804510053657107,"score_spread":0.2640686143269653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387514048","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9561892,0.000064292886,0.039265744,0.0007463796,0.001715757,0.00036512892,0.000069944675,0.00020393945,0.0013796156],"genre_scores_gemma":[0.99910325,0.00012696946,0.00014459835,0.00008020748,0.00040136324,0.000024975552,0.00006753922,0.000010377841,0.000040728944],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99569803,0.00019600213,0.0013938965,0.00016086655,0.002220906,0.00033027292],"domain_scores_gemma":[0.9963423,0.00032211357,0.0009163879,0.0001630476,0.0020350998,0.00022105002],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026233026,0.00017418455,0.00032978112,0.00076343253,0.00031915834,0.000632082,0.0007308552,0.00019263057,0.000038890303],"category_scores_gemma":[0.0005213367,0.00014118677,0.00023454585,0.0010910342,0.0003626608,0.0038873747,0.000042324136,0.00037732316,0.000011321141],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008123161,0.00013306468,0.930043,0.00006995613,0.00037578016,0.000028510825,0.007606025,0.05426949,0.00003903464,0.005381796,0.0005331926,0.000707878],"study_design_scores_gemma":[0.0069906125,0.00078383676,0.7795468,0.0016909335,0.00042064243,0.00009339527,0.020461993,0.16018143,0.00016844746,0.007782861,0.020605404,0.0012736218],"about_ca_topic_score_codex":0.002264617,"about_ca_topic_score_gemma":0.00075675023,"teacher_disagreement_score":0.15049614,"about_ca_system_score_codex":0.00011863438,"about_ca_system_score_gemma":0.000334103,"threshold_uncertainty_score":0.6095181},"labels":[],"label_agreement":null},{"id":"W4387602996","doi":"10.1111/cag.12890","title":"In light of transit: Documenting the scales of urban change along the LRT line in Hamilton, Ontario","year":2023,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of British Columbia; University of Waterloo","funders":"Canada Research Chairs","keywords":"Gentrification; Affordable housing; Geography; Walkability; Light rail transit; Transparency (behavior); Light rail; Urban planning; Scale (ratio); Built environment; Public transport; Environmental planning; Business; Political science; Economic growth; Transport engineering; Engineering; Civil engineering; Economics; Cartography","score_opus":0.017791628458210116,"score_gpt":0.2352336176469023,"score_spread":0.21744198918869218,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387602996","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9878119,0.002125,1.8883861e-7,0.006423885,0.00046164813,0.00073477504,0.00007431368,0.00003088036,0.0023373764],"genre_scores_gemma":[0.9980327,0.0010327216,0.0000063726898,0.00024987108,0.000120900244,0.00010613848,0.000024500454,0.00001973164,0.0004071],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997242,0.00019191524,0.0006975297,0.00038551685,0.00036535691,0.0011176913],"domain_scores_gemma":[0.99866456,0.00021428127,0.00018933437,0.00048563347,0.00013338344,0.00031279057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015662265,0.00025051093,0.00043300286,0.0027954124,0.0006135191,0.000057857258,0.000961391,0.00016810646,0.00008868871],"category_scores_gemma":[0.000066915556,0.00018673278,0.00028681624,0.01107381,0.0025655588,0.00042476106,0.00002288872,0.00033914085,0.0000012912745],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012056051,0.000018042643,0.8955215,0.000044550994,0.00003773825,0.00003800746,0.09935985,0.000008255728,0.000013114069,0.003356263,0.00066583004,0.00092475314],"study_design_scores_gemma":[0.00022745301,0.000030117862,0.91186804,0.000115691815,0.000029356186,5.161443e-7,0.03753572,0.0000039929428,0.00003782178,0.0013095211,0.04862994,0.00021182379],"about_ca_topic_score_codex":0.9966117,"about_ca_topic_score_gemma":0.9999974,"teacher_disagreement_score":0.061824128,"about_ca_system_score_codex":0.00012980748,"about_ca_system_score_gemma":0.00039252447,"threshold_uncertainty_score":0.94529086},"labels":[],"label_agreement":null},{"id":"W4387616212","doi":"10.1177/03611981231198465","title":"COVID-19 and Public Transport in Auckland, New Zealand: Investigating Vulnerable Population Groups’ Ridership Behavior","year":2023,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Public transport; Ethnic group; Disadvantaged; Residence; Population; Pandemic; TRIPS architecture; Geography; Demographic economics; Business; Equity (law); Travel behavior; Socioeconomics; Demography; Economic growth; Coronavirus disease 2019 (COVID-19); Transport engineering; Political science; Medicine; Economics; Sociology; Engineering","score_opus":0.22443813844231203,"score_gpt":0.4486820037130677,"score_spread":0.22424386527075568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387616212","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.980361,0.00015750005,0.000111707865,0.017362248,0.00039654903,0.0013441659,0.000052854855,0.00009221662,0.000121790705],"genre_scores_gemma":[0.99565667,0.0009622887,0.00033978125,0.000104734965,0.0003066565,0.00009984589,0.000108683285,0.00004907989,0.0023722574],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98948765,0.0025111951,0.0017116849,0.0006165397,0.0042081876,0.0014647588],"domain_scores_gemma":[0.9945549,0.0017042963,0.0004643752,0.0003917065,0.0011069354,0.0017778118],"candidate_categories":["sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0144614475,0.00027812674,0.0005507705,0.0019020712,0.0018468164,0.00024244572,0.0010722798,0.00034327555,0.0005989092],"category_scores_gemma":[0.001391266,0.0002350578,0.00029157192,0.0057425383,0.0011086029,0.001631701,0.0000068376075,0.0027534766,0.000012523269],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026944318,0.0001303586,0.97313994,0.00016701843,0.000030494464,0.00010876583,0.01807631,0.00025321357,0.00019967459,0.0018458324,0.0027852305,0.0029937115],"study_design_scores_gemma":[0.0017859138,0.00017082674,0.9632141,0.00016176754,0.00004044128,1.7942259e-7,0.010015741,0.000034306067,0.000034422388,0.013967515,0.010345468,0.00022934141],"about_ca_topic_score_codex":0.3395116,"about_ca_topic_score_gemma":0.7908056,"teacher_disagreement_score":0.45129398,"about_ca_system_score_codex":0.00057525735,"about_ca_system_score_gemma":0.0030404306,"threshold_uncertainty_score":0.9995472},"labels":[],"label_agreement":null},{"id":"W4387631280","doi":"10.1016/j.tbs.2023.100690","title":"A behavioural analysis of post-pandemic modality profiles for non-commuting trips in the greater Toronto Area","year":2023,"lang":"en","type":"article","venue":"Travel Behaviour and Society","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Pandemic; TRIPS architecture; Multinomial logistic regression; Descriptive statistics; Demographic economics; Paratransit; Psychological resilience; Coronavirus disease 2019 (COVID-19); Business; Public transport; Geography; Psychology; Socioeconomics; Economics; Transport engineering; Medicine; Social psychology; Engineering; Computer science","score_opus":0.0722541332858057,"score_gpt":0.34207619521171917,"score_spread":0.26982206192591346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387631280","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99845624,0.000040211577,0.000070432754,0.0002792705,0.000040875617,0.00056974305,0.00026439235,0.00003839664,0.00024044087],"genre_scores_gemma":[0.999312,0.000041862586,0.000100622485,0.00007089292,0.000028313143,0.000085253734,0.00015350425,0.0000074869436,0.000200096],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986062,0.000102356666,0.00036341103,0.000274725,0.00029168068,0.0003616503],"domain_scores_gemma":[0.99936324,0.00016133062,0.00010484321,0.00020675856,0.000103138234,0.000060692455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00210793,0.0001316216,0.00035483562,0.00003997307,0.00042980802,0.000052857024,0.00029373643,0.00016075543,0.000054361826],"category_scores_gemma":[0.0000231567,0.00009643133,0.00046350394,0.0006071158,0.0002684635,0.0002027802,0.000021058737,0.0001412114,2.500943e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014230039,0.000064983346,0.8988096,0.000015339305,0.00005714532,7.0882055e-7,0.10047749,0.0000011469956,0.0001661827,0.00006861394,0.000046955305,0.0002775838],"study_design_scores_gemma":[0.00037637528,0.000025991456,0.92820793,0.000008899147,0.0005484599,7.568668e-8,0.070198685,0.000366537,0.00005535386,0.000095859425,0.0000021589256,0.0001136405],"about_ca_topic_score_codex":0.041599948,"about_ca_topic_score_gemma":0.039966207,"teacher_disagreement_score":0.0302788,"about_ca_system_score_codex":0.00007841106,"about_ca_system_score_gemma":0.00008533089,"threshold_uncertainty_score":0.97755194},"labels":[],"label_agreement":null},{"id":"W4387637070","doi":"10.1787/b8d995ec-en","title":"Sensitivity analysis","year":2022,"lang":"en","type":"book-chapter","venue":"Getting skills right","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sample (material); Geography; Population; Rural area; The Internet; Demographic economics; Rural population; Demography; Socioeconomics; Psychology; Sociology; Political science; Computer science; Economics","score_opus":0.009394886609522224,"score_gpt":0.2626095092334355,"score_spread":0.2532146226239133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387637070","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004105465,0.0002519393,0.00010353119,0.0005731159,0.00050920673,0.00024147525,0.00016856065,0.00023710655,0.9938096],"genre_scores_gemma":[0.21350099,0.00006360754,0.00020738822,0.00023457845,0.0007054939,0.000005656757,0.00027022205,0.000035435143,0.7849766],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99748623,0.0001508795,0.0003917815,0.00068282883,0.000857498,0.00043077208],"domain_scores_gemma":[0.9985728,0.00032473094,0.00034186075,0.00050062174,0.00010454292,0.00015544059],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001573784,0.00028475223,0.00058956584,0.0002823504,0.0013368699,0.00009423551,0.0003127796,0.00030317612,0.030141352],"category_scores_gemma":[0.000066596716,0.00027707123,0.00069068605,0.0002607074,0.00034834768,0.0001769516,0.00007483993,0.0006220037,0.00011911908],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003743871,0.0004240518,0.17287412,0.0001701516,0.005911368,0.0021594523,0.020879425,0.00021818049,0.00002219201,0.7514685,0.0150908055,0.030744318],"study_design_scores_gemma":[0.000079361766,0.000008133892,0.009171727,0.000024845964,0.0012008519,3.6891572e-7,0.000039510305,0.0000075110415,0.0000094178495,0.01720304,0.97171533,0.0005399004],"about_ca_topic_score_codex":0.0026375006,"about_ca_topic_score_gemma":0.017691614,"teacher_disagreement_score":0.9566245,"about_ca_system_score_codex":0.00026207595,"about_ca_system_score_gemma":0.0002322478,"threshold_uncertainty_score":0.9999682},"labels":[],"label_agreement":null},{"id":"W4387721999","doi":"10.1016/j.rtbm.2023.101045","title":"Fostering a transition to inclusive sustainability through shared urban mobility","year":2023,"lang":"en","type":"article","venue":"Research in Transportation Business & Management","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Sociotechnical system; Sustainability; General partnership; Institutionalisation; Control reconfiguration; Transition (genetics); Transition management (governance); Business; Public relations; Knowledge management; Political science; Engineering; Computer science","score_opus":0.09819523397899736,"score_gpt":0.43438246352350557,"score_spread":0.3361872295445082,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387721999","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97261804,0.00004394404,0.004418618,0.013644469,0.00018767407,0.0035872373,0.000059502567,0.00031034782,0.0051301625],"genre_scores_gemma":[0.99822,0.0001364783,0.000293947,0.00007271876,0.000106955515,0.00056828413,0.0002744285,0.000022630395,0.00030454775],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9956927,0.0003347558,0.0006267132,0.0008040583,0.0014670909,0.0010747068],"domain_scores_gemma":[0.99818057,0.00019470396,0.000056283625,0.00043164747,0.00094051467,0.00019626216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006128778,0.00018370009,0.00026206372,0.00064123824,0.0007422036,0.00016066112,0.0005301524,0.000116269985,0.00016262928],"category_scores_gemma":[0.00011142579,0.00020323583,0.000084967316,0.007695702,0.00031368434,0.001324604,0.000071272414,0.0002701704,0.00004335864],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022896528,0.0025573324,0.26771063,0.00783431,0.00014333654,0.0018195107,0.45726734,0.013970116,0.00038777463,0.04162806,0.002527585,0.20186438],"study_design_scores_gemma":[0.0005178869,0.000017804372,0.9305599,0.00015537898,0.000012291204,2.1890646e-8,0.02634988,0.000036030524,0.000043569635,0.036307786,0.005789283,0.00021017896],"about_ca_topic_score_codex":0.0113214785,"about_ca_topic_score_gemma":0.03764611,"teacher_disagreement_score":0.66284925,"about_ca_system_score_codex":0.0009977893,"about_ca_system_score_gemma":0.00027373334,"threshold_uncertainty_score":0.9952622},"labels":[],"label_agreement":null},{"id":"W4387762684","doi":"10.1016/j.jtrangeo.2023.103734","title":"Do environmentally sustainable travel behaviours contribute to transportation-related social exclusion?","year":2023,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Mode choice; Sustainable transport; Public transport; Travel behavior; Social exclusion; Poisson regression; Transportation planning; Transport engineering; Sustainability; Business; Psychology; Geography; Sociology; Economic growth; Economics; Engineering; Demography; Ecology; Population","score_opus":0.010890500584885315,"score_gpt":0.2770573053541812,"score_spread":0.2661668047692959,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387762684","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99454224,0.0002710505,0.0003587253,0.0028368598,0.00041686776,0.0004897766,0.00018148418,0.00008324357,0.00081972743],"genre_scores_gemma":[0.9984383,0.00026286495,0.00011084244,0.00012633568,0.00021085277,0.000011497224,0.00011377277,0.000029226934,0.00069632434],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9964501,0.00009334038,0.0010836145,0.00031678396,0.0012493833,0.0008067297],"domain_scores_gemma":[0.9986093,0.000060668164,0.0004124816,0.0001534425,0.0002921994,0.0004718819],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002005964,0.00024447456,0.0005247968,0.00071002584,0.0010094817,0.00006422963,0.0005920001,0.00024382347,0.0007618846],"category_scores_gemma":[0.000014962762,0.00023701649,0.00083178637,0.0020070334,0.0003474409,0.0006409741,0.00000560701,0.00040818955,0.000016337539],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019598054,0.00031129812,0.9732386,0.00002693686,0.00014690742,0.00063877925,0.021867024,0.00011363068,0.00026757972,0.0009286281,0.00094402855,0.0013205952],"study_design_scores_gemma":[0.0011026358,0.00013260652,0.9745486,0.00004662702,0.00026359706,0.0000010936301,0.009392772,4.879847e-7,0.00008792887,0.0019713193,0.012178628,0.0002737243],"about_ca_topic_score_codex":0.0011715967,"about_ca_topic_score_gemma":0.0009935965,"teacher_disagreement_score":0.012474252,"about_ca_system_score_codex":0.00009803346,"about_ca_system_score_gemma":0.0002478461,"threshold_uncertainty_score":0.9665252},"labels":[],"label_agreement":null},{"id":"W4387764937","doi":"10.4103/ijpvm.ijpvm_285_22","title":"Investigating the Relationship between Structural Features of Built Environment and Physical Activity Using Geographic Information Systems (GIS)","year":2023,"lang":"en","type":"article","venue":"International Journal of Preventive Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"","keywords":"Walkability; Built environment; Geographic information system; Index (typography); Physical activity; Geography; Land use; Population; Environmental health; Transport engineering; Computer science; Medicine; Cartography; Engineering; Civil engineering","score_opus":0.062273412206792146,"score_gpt":0.3671062916166352,"score_spread":0.30483287940984305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387764937","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99702495,0.00008753359,0.00047389278,0.0018704886,0.00028505258,0.000115220675,0.000012035193,0.00000542607,0.00012540242],"genre_scores_gemma":[0.99937737,0.000015358632,0.000037945865,0.000009774647,0.00052176666,0.0000010405707,0.0000059800695,0.00000218212,0.000028572507],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99866265,0.0001908607,0.00028038418,0.000053232015,0.0007337602,0.00007910944],"domain_scores_gemma":[0.9984406,0.00071794284,0.00057603786,0.00004758351,0.00016753533,0.00005028071],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012097295,0.00005925585,0.0001472257,0.0001498656,0.00014448981,0.000027000922,0.00021219319,0.000031109408,0.000010456162],"category_scores_gemma":[0.0007197608,0.000037196158,0.000054565124,0.00016753713,0.00046939487,0.0006308925,0.000029069037,0.00019280372,4.8486186e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008000197,0.0000060319876,0.98823285,0.000013703932,0.00006813011,8.885179e-7,0.006876168,0.000071511524,0.00035068046,0.002457729,0.000028240725,0.0018860599],"study_design_scores_gemma":[0.00021133864,0.000025374782,0.98911536,0.00019018147,0.000047846745,0.0000012732559,0.0023893088,0.000186343,0.00007373978,0.007661176,0.00006516081,0.000032915097],"about_ca_topic_score_codex":0.0010196525,"about_ca_topic_score_gemma":0.000023856477,"teacher_disagreement_score":0.005203447,"about_ca_system_score_codex":0.0000515287,"about_ca_system_score_gemma":0.000050613748,"threshold_uncertainty_score":0.17295049},"labels":[],"label_agreement":null},{"id":"W4387868996","doi":"10.1155/2023/4597386","title":"Examining Built Environment Effects on Metro Ridership at Station-to-Station Level considering Circle Heterogeneity: A Case Study from Xi’an, China","year":2023,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities","keywords":"Transport engineering; Built environment; Metro station; Flow (mathematics); China; Unit (ring theory); Catchment area; Traffic flow (computer networking); Environmental science; Computer science; Geography; Engineering; Civil engineering; Drainage basin; Cartography; Mathematics","score_opus":0.08557551262871702,"score_gpt":0.34077186962613887,"score_spread":0.2551963569974218,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387868996","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953772,0.000042907985,0.003252411,0.00015756856,0.0004035918,0.00061492535,0.000081478625,0.000059218,0.00001072426],"genre_scores_gemma":[0.99756485,0.00002467248,0.002029218,0.0000545611,0.00016824817,0.00002523958,0.00008263278,0.00002624191,0.000024314973],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976078,0.00024597018,0.00069060404,0.00035570582,0.00080650474,0.0002933815],"domain_scores_gemma":[0.9985383,0.00044074038,0.00047648294,0.00018608068,0.000096518,0.0002618367],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009283667,0.00017764873,0.00031689115,0.00026140214,0.00048038145,0.000057138852,0.0001478013,0.0000668377,0.00005060764],"category_scores_gemma":[0.000107096566,0.00018975824,0.00009619728,0.0004005271,0.00004900653,0.00094926514,0.0000035069686,0.00019739887,0.000013571922],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042173566,0.000348,0.7857879,0.000040789215,0.00011755327,0.0018618616,0.10806765,0.06921413,0.0080647925,0.000007815938,0.000010339676,0.02605747],"study_design_scores_gemma":[0.0013999596,0.0007356636,0.960683,0.000061333296,0.00012041911,0.0000018807739,0.03199176,0.00002492471,0.0042908927,0.00044970898,0.00005147721,0.00018899296],"about_ca_topic_score_codex":0.0021638852,"about_ca_topic_score_gemma":0.042131167,"teacher_disagreement_score":0.17489512,"about_ca_system_score_codex":0.00027607885,"about_ca_system_score_gemma":0.000080307334,"threshold_uncertainty_score":0.97534746},"labels":[],"label_agreement":null},{"id":"W4387983572","doi":"10.1515/9782766300839-005","title":"What Can Public Bike Sharing Reveal About Sustainable Urban Mobility in Montreal and Vancouver?","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Bike sharing; Public transport; Transport engineering; Environmental planning; Business; Regional science; Geography; Engineering","score_opus":0.02808858522349536,"score_gpt":0.2684702422941624,"score_spread":0.24038165707066703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387983572","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.057417646,0.0009981967,0.0000031390798,0.0005534466,0.0009491804,0.0011058282,0.000034236935,0.00032263374,0.9386157],"genre_scores_gemma":[0.28748026,0.0005601154,0.000007891917,0.000071370494,0.00021588511,0.000024209785,0.000030254569,0.000032868553,0.7115771],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9970105,0.000039395498,0.00055960094,0.0009959785,0.00054559245,0.0008489328],"domain_scores_gemma":[0.9986555,0.00014352716,0.00017084953,0.0004942344,0.00020902553,0.00032686655],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015573087,0.00034964495,0.0005616028,0.00027315522,0.00045938318,0.0006806925,0.0005403905,0.00055140996,0.0009441068],"category_scores_gemma":[0.0001005675,0.00033846748,0.00014379356,0.0002081826,0.00052368856,0.0013381704,0.000194531,0.00054138695,0.00001547226],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059115922,0.00014904985,0.6223748,0.0007064516,0.00009711585,0.00039572336,0.019102078,0.0000020835412,7.558256e-7,0.320982,0.024004068,0.012126802],"study_design_scores_gemma":[0.0010371415,0.00007876283,0.29373324,0.0005441868,0.000105541716,3.217227e-7,0.03374394,0.000035867044,0.0000030645297,0.46388134,0.20510425,0.0017323236],"about_ca_topic_score_codex":0.10684553,"about_ca_topic_score_gemma":0.89666206,"teacher_disagreement_score":0.78981656,"about_ca_system_score_codex":0.00053738384,"about_ca_system_score_gemma":0.0004786469,"threshold_uncertainty_score":0.9999692},"labels":[],"label_agreement":null},{"id":"W4388021153","doi":"10.1080/21650020.2023.2276406","title":"‘Beyond policy tourism’: the international lived experience of cycling in the Netherlands and Canada","year":2023,"lang":"en","type":"article","venue":"Urban Planning and Transport Research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"Canada Research Chairs; Community Foundation","keywords":"Cycling; Redress; Variety (cybernetics); Tourism; Limiting; Lived experience; Public relations; Political science; Geography; Psychology; Engineering; Computer science","score_opus":0.09112297413752167,"score_gpt":0.4065691899585512,"score_spread":0.3154462158210295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388021153","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98720074,0.00034009846,0.0000031799593,0.004231272,0.000060327086,0.00014292162,0.000011964252,0.000011981529,0.007997502],"genre_scores_gemma":[0.99892247,0.00011904791,0.0000053722692,0.00007585964,0.0001763883,0.000016683704,0.000013016916,0.000004104335,0.0006670739],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99847263,0.00012621985,0.00018330448,0.00018488313,0.00071148796,0.0003214658],"domain_scores_gemma":[0.9991933,0.00053978997,0.000029186953,0.00012128462,0.000055856417,0.000060555805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023602897,0.00006238772,0.00009794985,0.000122049016,0.00047291175,0.000050896768,0.00043172244,0.00004475161,0.000021771013],"category_scores_gemma":[0.00008576238,0.000038910734,0.000018676488,0.0005600542,0.0005060932,0.00008976875,0.000015595704,0.0003020539,3.1169367e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021882573,0.000009646499,0.91150796,0.000009689993,0.0000056912263,0.000047222275,0.08679931,0.000010289555,0.000031675667,0.00042086298,0.00083168456,0.00030406256],"study_design_scores_gemma":[0.0001408329,0.000012180833,0.95708156,0.000033097607,0.000002346555,4.1318944e-7,0.035079155,0.000068084344,0.00003986959,0.00068757613,0.00680406,0.00005085043],"about_ca_topic_score_codex":0.7146184,"about_ca_topic_score_gemma":0.5309855,"teacher_disagreement_score":0.18363287,"about_ca_system_score_codex":0.000030028421,"about_ca_system_score_gemma":0.00043201848,"threshold_uncertainty_score":0.4775728},"labels":[],"label_agreement":null},{"id":"W4388037946","doi":"10.1016/j.jth.2023.101708","title":"Child and parent perspectives on active school transportation: Barriers and facilitators in a northern environment","year":2023,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Innovation Initiatives Ontario North; Queen's University; University of British Columbia, Okanagan Campus; University of British Columbia; Nipissing University","funders":"Canadian Institutes of Health Research","keywords":"Focus group; Context (archaeology); Psychology; Medical education; Medicine; Public relations; Business; Geography; Political science; Marketing","score_opus":0.015900073364574094,"score_gpt":0.2968627912307203,"score_spread":0.2809627178661462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388037946","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99110466,0.0011616817,0.000028529656,0.007039223,0.0000860209,0.0002835415,0.00006883692,0.000018767802,0.00020874612],"genre_scores_gemma":[0.9949475,0.0047342507,0.00004259785,0.00014160758,0.00007973861,0.0000058032165,0.000007696872,0.000009781379,0.000031018782],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99825794,0.00010639431,0.0005557065,0.0002603353,0.00049553835,0.00032408087],"domain_scores_gemma":[0.9990197,0.000048299753,0.00023320511,0.000086200096,0.000038456514,0.00057412946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00105646,0.00014175479,0.00034906203,0.00021082922,0.0003385006,0.000015566517,0.00011203711,0.0000725895,0.00009964742],"category_scores_gemma":[0.0000243052,0.0001249732,0.00009440311,0.00027456225,0.0002608245,0.00031641012,0.0000013428817,0.00038494947,0.0000024194685],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019762215,0.00006540874,0.9040287,0.000041250492,0.00002486746,0.000035945803,0.09242122,0.00008828009,0.000002508727,0.00013177001,0.000015793314,0.0029466036],"study_design_scores_gemma":[0.000643488,0.0002271247,0.9168534,0.00010862073,0.0000150579435,7.335311e-7,0.07905122,0.000001563836,0.0000039401266,0.00025872746,0.0027337426,0.00010236096],"about_ca_topic_score_codex":0.0012613414,"about_ca_topic_score_gemma":0.02247742,"teacher_disagreement_score":0.02121608,"about_ca_system_score_codex":0.00025661188,"about_ca_system_score_gemma":0.0004409802,"threshold_uncertainty_score":0.99535984},"labels":[],"label_agreement":null},{"id":"W4388112375","doi":"10.1111/geoj.12552","title":"Care‐driven informality: The case of community transport","year":2023,"lang":"en","type":"article","venue":"Geographical Journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Subsidy; Economic growth; Business; Public relations; Economics; Political science; Market economy","score_opus":0.0327022025946073,"score_gpt":0.32478757835020694,"score_spread":0.2920853757555996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388112375","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99359787,0.00008705992,0.000047540034,0.0014510823,0.00021031292,0.000109934845,0.00002359823,0.000059463262,0.0044131274],"genre_scores_gemma":[0.99952394,0.00013211301,0.000022892817,0.0001336076,0.00014364136,0.000002834702,0.0000087869985,0.000004685261,0.000027494962],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984655,0.00040429644,0.0003818525,0.000059469214,0.00035515797,0.0003337424],"domain_scores_gemma":[0.99905217,0.00019583228,0.00012804728,0.00023470657,0.00020633024,0.00018293547],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0023411568,0.000082427665,0.00016448958,0.0001259535,0.0021132936,0.000050582694,0.00053631625,0.00010598447,0.0001498425],"category_scores_gemma":[0.00006265951,0.000054631357,0.0002842844,0.0011470395,0.0009804026,0.00024967588,0.000025927293,0.00093953183,0.0000053844174],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024760731,0.000056591394,0.93179315,0.000027617396,0.000045395707,0.00030029885,0.053167965,0.000023503984,0.000007980247,0.0018399042,0.00020903062,0.012503802],"study_design_scores_gemma":[0.00028478916,0.000050244187,0.9108248,0.000017416709,0.000059542082,0.00005982007,0.075083,0.0000074706036,0.000012096548,0.0058932207,0.007605988,0.000101631005],"about_ca_topic_score_codex":0.008690104,"about_ca_topic_score_gemma":0.023469023,"teacher_disagreement_score":0.021915033,"about_ca_system_score_codex":0.000015635416,"about_ca_system_score_gemma":0.00014355103,"threshold_uncertainty_score":0.9991858},"labels":[],"label_agreement":null},{"id":"W4388152987","doi":"10.1016/j.pmedr.2023.102489","title":"Associations between school-level environment and individual-level factors of walking and cycling to school in Canadian youth","year":2023,"lang":"en","type":"article","venue":"Preventive Medicine Reports","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Ottawa; Public Health Agency of Canada","funders":"Public Health Agency; Public Health Agency of Canada","keywords":"Walkability; Neighbourhood (mathematics); Cycling; Socioeconomic status; Level design; Psychology; Physical activity; Gerontology; Environmental health; Demography; Geography; Medicine; Sociology; Physical therapy; Population","score_opus":0.10452166908077573,"score_gpt":0.3322876246001611,"score_spread":0.22776595551938536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388152987","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974299,0.00015009052,0.00005322715,0.0006232291,0.0001070195,0.00045867736,0.00020845921,0.000021489737,0.00094788894],"genre_scores_gemma":[0.9991902,0.00005177666,0.00006719488,0.000023976314,0.00011827613,0.000009044063,0.00016542006,0.000009251943,0.00036483008],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980942,0.00012060628,0.0005700716,0.00034867873,0.0004833664,0.0003830488],"domain_scores_gemma":[0.9988043,0.00016624307,0.00025121955,0.00013977227,0.000039472474,0.0005990284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002863174,0.00012180836,0.0003450517,0.0003498345,0.00024152384,0.000020775107,0.00008920968,0.00009102133,0.000102172584],"category_scores_gemma":[0.0017123653,0.000111671696,0.00003242968,0.00047382174,0.00016997529,0.00017628024,0.000050524915,0.00017195464,0.0000017176757],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[7.2885297e-7,0.000008954122,0.975997,0.000009127574,0.000030453208,0.000018257575,0.022435082,0.0000016002381,0.000026765476,0.000008299386,0.000038053553,0.0014257097],"study_design_scores_gemma":[0.00013715345,0.000019134299,0.9903213,0.00013565793,0.000073331576,1.4823877e-7,0.008081012,6.27222e-7,0.000047046615,0.00092976494,0.00014753631,0.00010728864],"about_ca_topic_score_codex":0.38229823,"about_ca_topic_score_gemma":0.30402336,"teacher_disagreement_score":0.07827487,"about_ca_system_score_codex":0.00024192914,"about_ca_system_score_gemma":0.0003221681,"threshold_uncertainty_score":0.7086764},"labels":[],"label_agreement":null},{"id":"W4388176904","doi":"10.1016/j.tbs.2023.100703","title":"Geographic identity and perceptions of walkable space","year":2023,"lang":"en","type":"article","venue":"Travel Behaviour and Society","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Mitacs","keywords":"Walkability; Pedestrian; Built environment; Perception; Space (punctuation); Poison control; Urban design; Transport engineering; Geography; Psychology; Computer science; Engineering; Urban planning; Civil engineering; Environmental health; Medicine","score_opus":0.026716016568760183,"score_gpt":0.3200925253142019,"score_spread":0.29337650874544174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388176904","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982136,0.00010661821,0.0000948674,0.00029230426,0.0000597125,0.00011592288,0.00003247427,0.000061099956,0.00102342],"genre_scores_gemma":[0.9974775,0.001012336,0.0001446092,0.000020548621,0.000032843724,0.000005275679,0.000010261924,0.0000050484546,0.0012915838],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99924845,0.00003067112,0.00012693556,0.00018155984,0.00020836564,0.00020404786],"domain_scores_gemma":[0.9996963,0.000029966031,0.000034760727,0.00009097429,0.000047993133,0.00010001205],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005542612,0.00006863094,0.00013347724,0.00002702194,0.00052019104,0.00004764285,0.000087240674,0.0001009956,0.0001238376],"category_scores_gemma":[0.000007745998,0.00006717931,0.000114321105,0.000354491,0.0005735873,0.00028350725,0.000022088403,0.00010238963,0.0000029630833],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000010054828,0.00002878652,0.97804576,0.000018498546,0.0000071556515,5.769957e-7,0.018783549,8.745812e-8,0.0003413973,0.002327106,0.00023772921,0.00020835253],"study_design_scores_gemma":[0.00014432124,0.000010123957,0.9730967,0.0000073393853,0.000043300144,1.1048307e-7,0.02480921,0.000009169563,0.000025825317,0.001732152,0.000046066074,0.00007565456],"about_ca_topic_score_codex":0.0070505985,"about_ca_topic_score_gemma":0.0022468413,"teacher_disagreement_score":0.006025661,"about_ca_system_score_codex":0.000009827748,"about_ca_system_score_gemma":0.000036847603,"threshold_uncertainty_score":0.99956155},"labels":[],"label_agreement":null},{"id":"W4388202341","doi":"10.1200/op.2023.19.11_suppl.324","title":"Consuming patients’ days: Time spent on ambulatory visits by persons with cancer.","year":2023,"lang":"en","type":"article","venue":"JCO Oncology Practice","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Ambulatory; Medicine; Ambulatory care; Cancer; Travel time; Emergency medicine; Family medicine; Health care; Surgery; Internal medicine","score_opus":0.0300023623354004,"score_gpt":0.36500169472928196,"score_spread":0.3349993323938816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388202341","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9000905,0.00009444939,0.0000043633145,0.00974015,0.00042686186,0.00037869296,0.000048014143,0.00019656212,0.08902038],"genre_scores_gemma":[0.98847026,0.00009300691,0.00012120804,0.0020935277,0.0001892154,0.000047397567,0.000046525194,0.00001821391,0.00892063],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99823225,0.00037805166,0.00018706956,0.00037249047,0.00042508834,0.0004050284],"domain_scores_gemma":[0.9980594,0.0012128579,0.00024480143,0.00018149974,0.00014431884,0.00015714901],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009277269,0.0001276049,0.00021269589,0.000060615348,0.00064041134,0.000049154674,0.00023529088,0.00016048735,0.00094520615],"category_scores_gemma":[0.00043818186,0.00011210367,0.000041197127,0.0004386669,0.00028915424,0.00059680676,0.000027526945,0.00032762572,0.0007756221],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00076404697,0.001347874,0.7067701,0.000024094616,0.00019553398,0.00014642581,0.018169716,0.000022177112,0.00022191044,0.00056997006,0.25464267,0.017125454],"study_design_scores_gemma":[0.0007617699,0.00032236884,0.1256117,0.000021928698,0.00011557134,3.8872224e-7,0.0035205367,0.000018914146,0.000055329798,0.000022103499,0.86935717,0.00019223314],"about_ca_topic_score_codex":0.0029856206,"about_ca_topic_score_gemma":0.0024290157,"teacher_disagreement_score":0.6147145,"about_ca_system_score_codex":0.00042313576,"about_ca_system_score_gemma":0.00055901037,"threshold_uncertainty_score":0.99996805},"labels":[],"label_agreement":null},{"id":"W4388272016","doi":"10.1016/j.tranpol.2023.10.015","title":"Integrating equity in transportation scenario planning: A systematic review","year":2023,"lang":"en","type":"review","venue":"Transport Policy","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Federal Highway Administration","keywords":"Equity (law); Transportation planning; Transport engineering; Business; Computer science; Engineering; Political science","score_opus":0.18704989531889893,"score_gpt":0.4961053220312956,"score_spread":0.30905542671239666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388272016","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00001927104,0.9871766,0.000043196604,0.00017819548,0.00018384332,0.0051532444,0.00022311916,0.00043344058,0.0065890695],"genre_scores_gemma":[0.00040107252,0.9957437,0.00003753876,0.00016679092,0.00035715854,0.00077090866,0.0008609866,0.00010660921,0.0015552269],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9936417,0.0005144542,0.0030327435,0.0008348012,0.0009613408,0.001014967],"domain_scores_gemma":[0.9976595,0.00031619283,0.0009744297,0.00064297474,0.00009580565,0.00031109582],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0033924005,0.00071216613,0.004548383,0.00071156624,0.0003080686,0.00006685605,0.0012486266,0.0006226891,0.0001232534],"category_scores_gemma":[0.0003272451,0.000594631,0.0012046514,0.003678769,0.0002625698,0.00038728202,0.000009926654,0.0009971658,0.00013854023],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000024211051,0.00006467013,0.00057054404,0.9798848,0.00008731928,0.00013148977,0.005016756,6.120494e-7,9.963182e-9,0.003063654,0.000058033154,0.011119712],"study_design_scores_gemma":[0.00012329713,0.000014116146,0.00036148576,0.8841994,0.0021642412,7.999976e-7,0.00032650662,4.137113e-7,2.5168077e-8,0.00041762978,0.11177107,0.00062103017],"about_ca_topic_score_codex":0.021122178,"about_ca_topic_score_gemma":0.049814552,"teacher_disagreement_score":0.11171303,"about_ca_system_score_codex":0.00077707734,"about_ca_system_score_gemma":0.0034219068,"threshold_uncertainty_score":0.99965054},"labels":[],"label_agreement":null},{"id":"W4388348808","doi":"10.2139/ssrn.4623075","title":"Acceptability of Built Environment Interventions to Support Active Travel in 17 Canadian Metropolitan Areas: Findings from the Thepa Study","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval; Université de Montréal; University of Saskatchewan; Simon Fraser University","funders":"","keywords":"Metropolitan area; Psychological intervention; Built environment; Geography; Business; Regional science; Environmental planning; Psychology; Engineering; Civil engineering; Archaeology","score_opus":0.050913022451077976,"score_gpt":0.3471908693421976,"score_spread":0.29627784689111963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388348808","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9933034,0.0002692548,0.0003043306,0.002980913,0.0003773379,0.0013253922,0.00042547,0.000016695461,0.0009971955],"genre_scores_gemma":[0.99829996,0.0003286219,0.000019686267,0.000036206216,0.00021232484,0.00007388972,0.00004629073,0.00002690418,0.0009561128],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9950608,0.00065703935,0.00087999285,0.0005995106,0.00072359294,0.0020790363],"domain_scores_gemma":[0.9984846,0.00020721334,0.00032621,0.0005774024,0.00008015979,0.00032442584],"candidate_categories":["research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00652255,0.00028510642,0.00053917663,0.00030452732,0.0005356505,0.000119122895,0.0017394715,0.0002265079,0.0016564138],"category_scores_gemma":[0.00027528344,0.00023035277,0.00053389475,0.00038168477,0.00027076257,0.000185826,0.00021211435,0.003444408,0.00002108954],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.000052028594,0.0004378377,0.9694288,0.000010310883,0.0003130989,0.0000071135482,0.024571279,0.000026903417,0.0000030098006,0.0012916718,0.00008917587,0.003768802],"study_design_scores_gemma":[0.0002188759,0.00016618347,0.7531104,0.000036198257,0.00012431983,2.800735e-7,0.15067998,9.437252e-7,0.000010053594,0.09539603,0.00008951108,0.00016720868],"about_ca_topic_score_codex":0.89687127,"about_ca_topic_score_gemma":0.99662715,"teacher_disagreement_score":0.21631834,"about_ca_system_score_codex":0.010989738,"about_ca_system_score_gemma":0.008308912,"threshold_uncertainty_score":0.9992562},"labels":[],"label_agreement":null},{"id":"W4388403869","doi":"10.1016/j.tbs.2023.100704","title":"Disabled people’s accessible taxi experiences in Toronto, Canada","year":2023,"lang":"en","type":"article","venue":"Travel Behaviour and Society","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Centre for Addiction and Mental Health; Holland Bloorview Kids Rehabilitation Hospital; Toronto Rehabilitation Institute; University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Paratransit; TRIPS architecture; Thematic analysis; Disabled people; Public relations; Service (business); Complaint; Business; Perspective (graphical); Psychology; Sociology; Applied psychology; Marketing; Qualitative research; Political science; Transport engineering; Engineering; Computer science","score_opus":0.022361503295037947,"score_gpt":0.3077263689366032,"score_spread":0.28536486564156527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388403869","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99114245,0.00015047919,0.000008111782,0.00038646627,0.00027724306,0.00018282518,0.000019354513,0.000067685534,0.0077654007],"genre_scores_gemma":[0.9972677,0.0002840063,0.00003409432,0.000094912655,0.00007500334,0.00006403353,0.000019486955,0.000008288629,0.0021524737],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985609,0.000049780534,0.00022450618,0.00031222336,0.00038531504,0.00046724553],"domain_scores_gemma":[0.9995752,0.000057358244,0.000044711694,0.0001257478,0.000031858686,0.00016509631],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004776009,0.00012318332,0.00020745338,0.000010678408,0.00052507676,0.00009392579,0.00024868755,0.0001109102,0.0007981006],"category_scores_gemma":[0.0000148837225,0.00011502023,0.00007829633,0.00040615982,0.00019189013,0.00042120388,0.000027918959,0.000121356614,0.0000018137575],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002542043,0.000028694525,0.88786536,0.000009732146,0.0000033913968,0.0000043950126,0.109585345,3.8380864e-7,0.00002789383,0.00029669673,0.0017875065,0.00038803357],"study_design_scores_gemma":[0.00017530248,0.000005219754,0.7511258,0.0000069122716,0.0000071690383,6.0039184e-8,0.24831042,0.000023464121,0.000027977017,0.00008098278,0.00011354445,0.00012316724],"about_ca_topic_score_codex":0.9709461,"about_ca_topic_score_gemma":0.99471426,"teacher_disagreement_score":0.13872507,"about_ca_system_score_codex":0.00030286916,"about_ca_system_score_gemma":0.00057150587,"threshold_uncertainty_score":0.8738642},"labels":[],"label_agreement":null},{"id":"W4388638756","doi":"10.1080/23792949.2023.2261530","title":"Planning for accessibility: the divide between research and policy in the promotion of equitable mobility","year":2023,"lang":"en","type":"article","venue":"Area Development and Policy","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Centro de Desarrollo Urbano Sustentable","keywords":"Equity (law); Metropolitan area; Scope (computer science); Inequality; Multidisciplinary approach; Public economics; Regional science; Public relations; Mobilities; Political science; Business; Economic growth; Sociology; Geography; Economics; Computer science; Social science","score_opus":0.2826807907345922,"score_gpt":0.47433155329238375,"score_spread":0.19165076255779157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388638756","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9879327,0.00008742912,0.000018366254,0.008335933,0.000016230335,0.0007628025,0.0000148926965,0.000022527738,0.0028091387],"genre_scores_gemma":[0.9991429,0.000029699622,0.000046580713,0.000049855695,0.00020323905,0.0001215336,0.000021968292,0.0000046906544,0.0003795462],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998439,0.00020215331,0.00028008508,0.00023715451,0.00035033972,0.0004912618],"domain_scores_gemma":[0.99867684,0.0009584938,0.000057858146,0.00016915692,0.00007934508,0.000058336333],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0073793964,0.00008146441,0.00014658352,0.0002072166,0.0009592106,0.000112615926,0.00033715786,0.000068310685,0.000005237375],"category_scores_gemma":[0.00060560176,0.00004925282,0.000021294862,0.0013363528,0.0004807491,0.00023038068,0.00011823763,0.00013491086,0.0000010099194],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012855524,0.00003637402,0.92100495,0.000061652776,0.000007733804,3.382053e-7,0.057587173,3.6205495e-7,0.000014463708,0.0051184376,0.00013383476,0.016021818],"study_design_scores_gemma":[0.00015556661,0.000025235713,0.90569776,0.000031761225,0.0000032831808,4.340026e-8,0.0038020334,0.0000046324017,0.00015897599,0.08563496,0.0044307853,0.000054953627],"about_ca_topic_score_codex":0.0062470403,"about_ca_topic_score_gemma":0.0033946543,"teacher_disagreement_score":0.080516525,"about_ca_system_score_codex":0.00006973413,"about_ca_system_score_gemma":0.00056242105,"threshold_uncertainty_score":0.94436985},"labels":[],"label_agreement":null},{"id":"W4388680146","doi":"10.22617/wps230480-2","title":"Faster, Taller, Better: Transit Improvements and Land Use Policies","year":2023,"lang":"en","type":"report","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"","keywords":"Transit (satellite); Transport engineering; Rail transit; Transit system; Agricultural economics; Floor area ratio; Transit-oriented development; Land use; Welfare; Metro station; Geography; Business; Environmental science; Public transport; Civil engineering; Engineering; Economics","score_opus":0.1155519332236831,"score_gpt":0.3664428253986042,"score_spread":0.2508908921749211,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388680146","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8585607,0.0005335109,0.00005511111,0.0014980584,0.0018024793,0.0008031612,0.0003396272,0.00047129914,0.13593608],"genre_scores_gemma":[0.62429386,0.005926339,0.00011654851,0.0005382392,0.0015577725,0.0000479515,0.00029262257,0.00008805602,0.3671386],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975979,0.000051137886,0.00041203684,0.00049572706,0.00096581597,0.0004773865],"domain_scores_gemma":[0.9991452,0.000089957204,0.00014310009,0.0002639055,0.00017315931,0.0001846485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007091061,0.0002587822,0.00042701114,0.0001280801,0.00036100144,0.00035081425,0.00026782617,0.000374548,0.00041417315],"category_scores_gemma":[0.00006669222,0.00021767057,0.00014648274,0.00022460712,0.00032137404,0.00038660632,0.000047392456,0.0002562198,0.000025431358],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009471124,0.000060368657,0.95721716,0.00022517715,0.00013892945,0.0000294196,0.0033301748,1.3656857e-7,0.000025002024,0.000034592507,0.023155324,0.015774231],"study_design_scores_gemma":[0.00029488897,0.000030647916,0.48963255,0.000088083616,0.00011140552,4.213029e-7,0.00057238195,0.0000015153588,0.00001587032,0.00036559603,0.50846016,0.0004264411],"about_ca_topic_score_codex":0.17104228,"about_ca_topic_score_gemma":0.17838888,"teacher_disagreement_score":0.48530486,"about_ca_system_score_codex":0.00010042901,"about_ca_system_score_gemma":0.0005299648,"threshold_uncertainty_score":0.8876349},"labels":[],"label_agreement":null},{"id":"W4388701135","doi":"10.2139/ssrn.4633757","title":"Dynamic Rebalancing for Bike-Sharing Systems Under Inventory Interval and Target Predictions","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Bike sharing; Interval (graph theory); Computer science; Operations research; Mathematics; Transport engineering; Engineering; Combinatorics","score_opus":0.03219588505400542,"score_gpt":0.31617752487585876,"score_spread":0.2839816398218533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388701135","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77236843,0.013489639,0.20317073,0.0019336565,0.006592685,0.0013065304,0.00011492272,0.00041529123,0.0006081077],"genre_scores_gemma":[0.9899537,0.00254966,0.00008750699,0.000018038965,0.0008825265,0.00006631854,0.000055590583,0.00004740665,0.0063392683],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9965485,0.00012411577,0.0005349946,0.0005077249,0.00037954768,0.0019051254],"domain_scores_gemma":[0.99901277,0.00007798058,0.00036651813,0.00022539339,0.00015097836,0.00016633602],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0046557374,0.00022692705,0.00036752629,0.00020718615,0.0009492768,0.00036258262,0.0005637475,0.00032941796,0.00001056675],"category_scores_gemma":[0.00010751073,0.00022532177,0.00023873616,0.000156808,0.00016434668,0.00025588216,0.00015564542,0.002788881,0.0000035389505],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017607985,0.00020830856,0.7758661,0.0010663869,0.0019656538,0.00001208635,0.009730407,0.00881685,0.00005073088,0.2000463,0.0006590612,0.001402031],"study_design_scores_gemma":[0.0005147642,0.00010242889,0.019754348,0.0005598577,0.00022018838,0.000011860023,0.018080149,0.014450273,7.741538e-7,0.94454795,0.0013160964,0.00044133642],"about_ca_topic_score_codex":0.0038291977,"about_ca_topic_score_gemma":0.043555956,"teacher_disagreement_score":0.75611174,"about_ca_system_score_codex":0.0025735907,"about_ca_system_score_gemma":0.003700993,"threshold_uncertainty_score":0.9995117},"labels":[],"label_agreement":null},{"id":"W4388816516","doi":"10.1016/j.landusepol.2023.106991","title":"Temporal transferability of the housing price component of an integrated land use and transportation model","year":2023,"lang":"en","type":"article","venue":"Land Use Policy","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Context (archaeology); Econometrics; Pandemic; Estimation; Baseline (sea); Transferability; Land use; Business; Economics; Geography; Coronavirus disease 2019 (COVID-19); Engineering","score_opus":0.06467981672547093,"score_gpt":0.32289665686405156,"score_spread":0.2582168401385806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388816516","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99870056,0.0000073784577,0.00036377125,0.0003198479,0.000027924321,0.00022696957,0.00028171384,0.000046531455,0.000025302905],"genre_scores_gemma":[0.9995755,0.000024217446,0.00023567032,0.00002826358,0.000025035482,0.000002701426,0.00005118817,0.0000066099938,0.000050845338],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991309,0.00011015405,0.00025270018,0.00015433345,0.00019343551,0.0001584783],"domain_scores_gemma":[0.9995559,0.000065350134,0.00007026898,0.00016101134,0.000079191916,0.00006831175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034293902,0.00007875039,0.0001756102,0.000058843078,0.00014636836,0.00003490537,0.00012502377,0.00006882133,0.000005094776],"category_scores_gemma":[0.000048067493,0.00005315501,0.00005707311,0.0005051886,0.00023913923,0.00042763425,0.0000037914335,0.00008129071,1.4705883e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046449117,0.000083779174,0.9875921,0.00004175002,0.000007976873,4.4661562e-7,0.01069131,0.00052941596,0.00044170476,0.0003198427,0.0000032263304,0.00024196862],"study_design_scores_gemma":[0.00031738388,0.00001379482,0.9944356,0.000023008784,0.000020350863,2.827164e-8,0.0002116656,0.0037599134,0.00038791355,0.0006841841,0.000082310864,0.0000638355],"about_ca_topic_score_codex":0.11810426,"about_ca_topic_score_gemma":0.10649823,"teacher_disagreement_score":0.011606028,"about_ca_system_score_codex":0.000020641028,"about_ca_system_score_gemma":0.0001782162,"threshold_uncertainty_score":0.90980583},"labels":[],"label_agreement":null},{"id":"W4388832079","doi":"10.1080/21650020.2023.2277804","title":"Bicycling for mutual aid: centering racialized and 2SLGBTQ+ cyclists in Toronto","year":2023,"lang":"en","type":"article","venue":"Urban Planning and Transport Research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"March of Dimes Canada; York University","funders":"Social Sciences and Humanities Research Council; Mitacs; Canada Foundation for Innovation","keywords":"Mutual aid; Timeline; Public relations; Solidarity; Sociology; Thriving; Context (archaeology); Political science; Politics; Geography; Social science","score_opus":0.12323887500951966,"score_gpt":0.46769393010162597,"score_spread":0.3444550550921063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388832079","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9921832,0.0014471632,0.00008833849,0.0004154076,0.00013345183,0.0004988909,0.00003551889,0.00012956931,0.005068461],"genre_scores_gemma":[0.997812,0.0002797612,0.00012583332,0.000015359243,0.00022417065,0.000065371845,0.000073943695,0.000018376013,0.0013852234],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978387,0.000112152215,0.0003093215,0.0004729569,0.0004692338,0.0007976313],"domain_scores_gemma":[0.9991536,0.00040117043,0.000031841777,0.00012831844,0.000067172965,0.00021785655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032136755,0.00012900944,0.0002555564,0.00020113184,0.0008435682,0.000099545075,0.00019037105,0.00014293334,0.000043108892],"category_scores_gemma":[0.00010158878,0.00012954618,0.000051929615,0.00043580553,0.00036459824,0.00037070503,0.00001952926,0.00026554562,0.0000028935276],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021814111,0.000031512933,0.97321355,0.000118104006,0.000011300348,0.00005920179,0.022915168,0.0000037096827,0.00016785637,0.0008124403,0.00021444166,0.002234572],"study_design_scores_gemma":[0.0011879327,0.000051548428,0.95782983,0.00018569359,0.000010184777,3.3743163e-7,0.008017459,0.00024033415,0.00004913644,0.0012517193,0.030969704,0.00020609531],"about_ca_topic_score_codex":0.012715357,"about_ca_topic_score_gemma":0.01896808,"teacher_disagreement_score":0.030755263,"about_ca_system_score_codex":0.00010240175,"about_ca_system_score_gemma":0.00010931039,"threshold_uncertainty_score":0.9989332},"labels":[],"label_agreement":null},{"id":"W4388860690","doi":"10.24908/32559","title":"Canadian Suburbs Atlas","year":2023,"lang":"en","type":"report","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Census; Atlas (anatomy); Geography; Population; Sustainability; Architecture; Population growth; Regional science; Cartography; Socioeconomics; Demography; Archaeology; Sociology; Ecology","score_opus":0.1150649617352609,"score_gpt":0.38323928497586207,"score_spread":0.2681743232406012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388860690","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006205868,0.000209531,0.0000018464838,0.0016114472,0.0031647966,0.00023783902,0.00007742257,0.0002882929,0.9882029],"genre_scores_gemma":[0.21396497,0.000583485,0.000013788596,0.00007453554,0.00148782,0.00001355662,0.00019594103,0.000029207944,0.7836367],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977527,0.000045035096,0.00026875891,0.0003738841,0.0009737062,0.0005859072],"domain_scores_gemma":[0.9987334,0.000058878028,0.00007733362,0.00028670146,0.00032344527,0.00052026735],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0014428204,0.00015347231,0.00026938037,0.00018397621,0.00048808233,0.00011856154,0.0004515356,0.00050111435,0.008797422],"category_scores_gemma":[0.00025531396,0.00014105317,0.00016946408,0.0004721354,0.00014962077,0.000099634795,0.000013785746,0.00029435116,0.0013436025],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[5.745759e-7,0.000006569699,0.34396574,0.000035743564,0.000026597249,0.00008571962,0.00061821216,9.430676e-8,1.2219354e-7,0.00044454145,0.65225583,0.0025602165],"study_design_scores_gemma":[0.000018975354,0.000002584385,0.08610805,0.000022141076,0.000023801862,7.965347e-8,0.00028358318,2.0082301e-7,0.0000010992867,0.000664563,0.91269135,0.00018355755],"about_ca_topic_score_codex":0.996826,"about_ca_topic_score_gemma":0.9996402,"teacher_disagreement_score":0.2604355,"about_ca_system_score_codex":0.0013706275,"about_ca_system_score_gemma":0.019843016,"threshold_uncertainty_score":0.999434},"labels":[],"label_agreement":null},{"id":"W4388961287","doi":"10.1016/j.trd.2023.103978","title":"Modeling car dependency and policies towards sustainable mobility: A system dynamics approach","year":2023,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"University of Toronto","keywords":"Dominance (genetics); Causal loop diagram; System dynamics; Computer science; Dependency (UML); Sustainable transport; Feedback loop; Urban rail transit; Transport engineering; Sustainability; Engineering; Ecology; Computer security","score_opus":0.06240623085136148,"score_gpt":0.3314360029681035,"score_spread":0.269029772116742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388961287","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99119264,0.00033929857,0.0029993795,0.0006028868,0.000042882184,0.0010788544,0.000120511846,0.00023902662,0.0033845457],"genre_scores_gemma":[0.99503654,0.0020192638,0.00016507073,0.000010641699,0.00007830508,0.00026839387,0.00044643608,0.000029789535,0.0019455685],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.996364,0.00015746473,0.00050954917,0.000714755,0.0012171175,0.0010370981],"domain_scores_gemma":[0.9990987,0.000053759304,0.000042115797,0.0002902411,0.00008876868,0.0004263824],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0028231086,0.00023132733,0.00033682567,0.00025999764,0.0013452747,0.000083911815,0.00023268163,0.00020668123,0.00006855551],"category_scores_gemma":[0.00000860333,0.00022858357,0.000094320734,0.0005959396,0.0007760345,0.00047094066,0.000010696356,0.0003753024,0.000010685907],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017774213,0.00034610668,0.86794704,0.0019421403,0.000103380946,0.00019471644,0.05161003,0.010034349,0.00003583297,0.064512596,0.000035604284,0.003060471],"study_design_scores_gemma":[0.000986277,0.00011457005,0.79524475,0.000084040956,0.00013033352,7.119353e-7,0.16199788,0.03210713,0.000023512821,0.003484157,0.0052139033,0.00061274576],"about_ca_topic_score_codex":0.026177578,"about_ca_topic_score_gemma":0.008352684,"teacher_disagreement_score":0.11038786,"about_ca_system_score_codex":0.00025582738,"about_ca_system_score_gemma":0.00018278122,"threshold_uncertainty_score":0.9999548},"labels":[],"label_agreement":null},{"id":"W4388968141","doi":"10.1007/978-3-031-48306-6_17","title":"Walkability for Active Aging: Factors and Features for an Adapted Trip Planning","year":2023,"lang":"en","type":"book-chapter","venue":"Lecture notes in networks and systems","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre Hospitalier Universitaire de Sherbrooke; Université de Sherbrooke","funders":"","keywords":"Walkability; Operationalization; Pedestrian; Context (archaeology); Gerontology; Psychology; Transport engineering; Medicine; Geography; Engineering; Physical activity; Physical medicine and rehabilitation","score_opus":0.06288817044262059,"score_gpt":0.3215762439381774,"score_spread":0.25868807349555684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388968141","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38995922,0.1144031,0.33954272,0.002298507,0.025744013,0.051607765,0.004433043,0.0026079728,0.06940364],"genre_scores_gemma":[0.99439067,0.00011519182,0.000050535335,0.00003214496,0.0013242591,0.00008768121,0.00025489315,0.000054274322,0.0036903745],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982177,0.000072174655,0.00038451192,0.0006857706,0.00020709429,0.0004327656],"domain_scores_gemma":[0.99748975,0.0018199398,0.00023076647,0.00020369283,0.00010623053,0.00014963825],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00086208933,0.00035896307,0.00071490975,0.00010288296,0.00049693463,0.00020266278,0.0001775219,0.0009006257,0.000004304806],"category_scores_gemma":[0.00017568345,0.0002851859,0.0001346074,0.000072703544,0.00023090039,0.0001438068,0.000020085032,0.000442895,6.416869e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0034282638,0.00021405696,0.58451027,0.005623467,0.0013465395,0.00004556061,0.11929962,0.036530077,0.00003004717,0.074790895,0.002468099,0.1717131],"study_design_scores_gemma":[0.008382739,0.0024645722,0.27991816,0.008759258,0.0016314709,0.0000062052845,0.008084513,0.066528596,0.000050973274,0.36812672,0.2478725,0.008174262],"about_ca_topic_score_codex":0.0017972541,"about_ca_topic_score_gemma":0.01615369,"teacher_disagreement_score":0.6044314,"about_ca_system_score_codex":0.000085137224,"about_ca_system_score_gemma":0.00007329139,"threshold_uncertainty_score":0.99996},"labels":[],"label_agreement":null},{"id":"W4388986469","doi":"10.1061/jtepbs.teeng-8141","title":"Estimating Pedestrian Volumes at Each Crosswalk of Intersections: Comparison of Land-Use Models and Short-Term Count Methods","year":2023,"lang":"en","type":"article","venue":"Journal of Transportation Engineering Part A Systems","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Schema crosswalk; Pedestrian; Term (time); Geography; Environmental science; Statistics; Mathematics; Computer science; Transport engineering; Engineering; Physics","score_opus":0.08212511620434507,"score_gpt":0.37918410214856835,"score_spread":0.2970589859442233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388986469","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9174644,0.00046059635,0.08093373,0.000016351456,0.0008900825,0.00014834736,0.00003686948,0.000036509362,0.000013131816],"genre_scores_gemma":[0.99593073,0.00004075076,0.003817327,6.371331e-7,0.00012244521,0.0000057327725,0.000017039158,0.000012353102,0.0000529885],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99822843,0.00007090208,0.0010600149,0.0001141856,0.00036753315,0.00015893897],"domain_scores_gemma":[0.99888706,0.00022692775,0.00046055735,0.00008955772,0.00024033575,0.00009554781],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013850129,0.00010699435,0.00045997096,0.00018794643,0.00010740887,0.000045072135,0.000120407196,0.000086032036,0.0000058299356],"category_scores_gemma":[0.00006334938,0.00010095394,0.00012343276,0.000326212,0.000075889926,0.0005238529,0.0000026760288,0.00013626998,1.8447217e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003087938,0.00003466472,0.6776247,0.00045762013,0.000070745766,0.000004134232,0.014925739,0.30499157,0.0015159551,0.00007688047,0.000037693237,0.0002294],"study_design_scores_gemma":[0.00060675933,0.00013097917,0.61122656,0.0010955048,0.00022851235,0.0000038036635,0.004001488,0.38080898,0.00084966817,0.000042092714,0.00076142914,0.00024421565],"about_ca_topic_score_codex":0.0007063551,"about_ca_topic_score_gemma":0.0010007247,"teacher_disagreement_score":0.07846634,"about_ca_system_score_codex":0.000055500266,"about_ca_system_score_gemma":0.0000628074,"threshold_uncertainty_score":0.41167822},"labels":[],"label_agreement":null},{"id":"W4389000222","doi":"10.1080/01441647.2023.2280190","title":"Understanding travel mode choice through the lens of COVID-19: a systematic review of pandemic commuters","year":2023,"lang":"en","type":"review","venue":"Transport Reviews","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Pandemic; Public transport; Coronavirus disease 2019 (COVID-19); Mode choice; Psychology; Travel behavior; Mode (computer interface); Work (physics); Mode of transport; Social psychology; Sociology; Transport engineering; Medicine; Engineering; Computer science","score_opus":0.5185358627908715,"score_gpt":0.4763399322289796,"score_spread":0.042195930561891914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389000222","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[6.0860106e-7,0.98376465,0.0026428676,0.00025255713,0.00021638183,0.01067047,0.00033919426,0.00009622942,0.0020170244],"genre_scores_gemma":[0.000049805534,0.99803317,0.000051722753,0.00051149004,0.00008696568,0.0005993005,0.00022246869,0.00006748111,0.0003776282],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.99072176,0.0021744187,0.0049346024,0.00062509545,0.000985673,0.00055847137],"domain_scores_gemma":[0.9930361,0.0016732545,0.003504767,0.0014805872,0.00009511579,0.00021018843],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.008024714,0.00067705754,0.008432951,0.00012270114,0.00041477865,0.00001819553,0.002100358,0.00039016013,0.00023874368],"category_scores_gemma":[0.0008890571,0.0003983895,0.0029822828,0.0019626252,0.00096899824,0.00028404855,0.000023227823,0.00068176404,0.000027765022],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000016338983,0.000045146495,0.000097968645,0.9922776,0.0002324027,0.0000032827386,0.003623174,3.5115409e-7,3.8931866e-8,0.0024207935,0.0004210201,0.0008765733],"study_design_scores_gemma":[0.0000699975,0.000010389441,0.000004121337,0.5532453,0.0058686608,9.81248e-7,0.00035149505,2.091523e-7,1.9903789e-8,0.00032591695,0.43986532,0.00025760563],"about_ca_topic_score_codex":0.0049381396,"about_ca_topic_score_gemma":0.009191859,"teacher_disagreement_score":0.4394443,"about_ca_system_score_codex":0.0005565203,"about_ca_system_score_gemma":0.0016979662,"threshold_uncertainty_score":0.9998468},"labels":[],"label_agreement":null},{"id":"W4389009346","doi":"10.1177/19375867231213338","title":"Correlation Between Neighborhood Built Environment and Leisure Walking Time Around a Riverside Park","year":2023,"lang":"en","type":"article","venue":"HERD Health Environments Research & Design Journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Pedestrian; Quarter (Canadian coin); Geography; Active living; Built environment; Level design; Schema crosswalk; Mile; Regression analysis; Walkability; Gerontology; Environmental health; Demography; Socioeconomics; Transport engineering; Physical activity; Medicine; Engineering; Statistics; Sociology; Physical therapy; Civil engineering; Mathematics; Computer science","score_opus":0.13994389714649758,"score_gpt":0.39907002709821293,"score_spread":0.25912612995171536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389009346","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9604126,0.0029184232,0.024344591,0.009106156,0.00021228437,0.0019110404,0.000028613458,0.00010072863,0.00096554996],"genre_scores_gemma":[0.9886056,0.0073575615,0.00066104945,0.000065360655,0.0005567478,0.000021262531,0.00002204203,0.00003180592,0.0026785308],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9929635,0.002812729,0.00053597114,0.00046605687,0.0019469712,0.0012747715],"domain_scores_gemma":[0.9977912,0.00078745774,0.00022839697,0.0002450996,0.000020200989,0.00092765724],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.012500677,0.00018322884,0.000326859,0.000279503,0.0032330554,0.00023033384,0.00033348196,0.0001916547,0.0009023521],"category_scores_gemma":[0.00013674263,0.00017890256,0.000075097545,0.00042519765,0.0006109214,0.00063596584,0.0001066387,0.0012099493,0.0006919738],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008197544,0.00011265832,0.9257145,0.00003413678,0.00006902722,0.00010301884,0.007833896,0.00037209364,0.00019151997,0.00005685402,0.0034849867,0.06194532],"study_design_scores_gemma":[0.00075769174,0.0003009576,0.95502746,0.000090987975,0.000019871057,0.000004019153,0.0019133348,0.0006346615,0.000014984627,0.0068271216,0.034193594,0.00021533578],"about_ca_topic_score_codex":0.00037369368,"about_ca_topic_score_gemma":0.000031402866,"teacher_disagreement_score":0.061729982,"about_ca_system_score_codex":0.0009830897,"about_ca_system_score_gemma":0.00044649866,"threshold_uncertainty_score":0.9980646},"labels":[],"label_agreement":null},{"id":"W4389083095","doi":"10.2196/49603","title":"Effects of the Implementation of Transport-Driven Poverty Alleviation Policy on Health Care–Seeking Behavior and Medical Expenditure Among Older People in Rural Areas: Quasi-Experimental Study","year":2023,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Poverty; Environmental health; Health care; Rural area; Public economics; Public health; Psychology; Medicine; Gerontology; Business; Economic growth; Nursing; Economics","score_opus":0.01528988256740848,"score_gpt":0.36621330250633227,"score_spread":0.3509234199389238,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389083095","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99328524,0.00035952867,0.0000047216213,0.0043127346,0.00010420913,0.0018544659,0.000027961574,0.000028241178,0.000022880773],"genre_scores_gemma":[0.99923015,0.00014966348,0.0000019734844,0.00033189965,0.000057303787,0.0001591664,0.000057660607,0.000007495875,0.000004700155],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997706,0.000588404,0.00047018632,0.0002342504,0.0006221032,0.0003790836],"domain_scores_gemma":[0.9991774,0.00013237851,0.00025258784,0.00012159375,0.000038828934,0.00027722228],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011469107,0.00011045885,0.00033245923,0.00012674305,0.00028105988,0.000018713175,0.00014675486,0.00007388847,0.00001788952],"category_scores_gemma":[0.000053959116,0.00008518639,0.000043216423,0.0005550966,0.00011680413,0.00017382838,0.000020618161,0.00013792378,1.2746499e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012272361,0.00043705263,0.8902336,0.00015999554,0.000005471112,8.624348e-7,0.1032854,1.2488431e-7,0.0000034095963,0.00008202403,0.000044174714,0.005735619],"study_design_scores_gemma":[0.0010362446,0.0003599188,0.93983793,0.000033746885,5.926576e-7,8.9580304e-8,0.05858155,0.000008457538,0.000004252684,0.0000037420311,0.00006910201,0.00006438941],"about_ca_topic_score_codex":0.047618434,"about_ca_topic_score_gemma":0.2117125,"teacher_disagreement_score":0.16409406,"about_ca_system_score_codex":0.00015121228,"about_ca_system_score_gemma":0.0011666032,"threshold_uncertainty_score":0.95872355},"labels":[],"label_agreement":null},{"id":"W4389092283","doi":"10.1111/cag.12891","title":"Past, present and future revitalization trends in Canadian mid‐size city downtowns","year":2023,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Suburbanization; Downtown; Geography; Economic geography; Environmental planning; Metropolitan area","score_opus":0.011934577938207869,"score_gpt":0.23920235834708184,"score_spread":0.22726778040887397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389092283","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94603544,0.0019229891,1.3115206e-7,0.02979072,0.0010332463,0.0004472455,0.00046826806,0.00019078991,0.020111151],"genre_scores_gemma":[0.9936529,0.0028412805,0.000018470271,0.00041091777,0.0011907587,0.00008516012,0.00030800456,0.00003704661,0.0014555021],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9959657,0.00017014034,0.00046058864,0.00076426513,0.0003589455,0.0022803617],"domain_scores_gemma":[0.9961124,0.00011947171,0.00009923842,0.00045954238,0.00016978507,0.0030395496],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0008374384,0.0003834996,0.0004235426,0.007157125,0.0015687697,0.00028478715,0.00054776605,0.00037213345,0.0005960424],"category_scores_gemma":[0.000066118155,0.00041858514,0.00021358121,0.016901402,0.0016647646,0.00058310846,0.000025870393,0.00028779052,0.0000060621865],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000066058674,0.000008776382,0.9495671,0.000028657883,0.000038388727,0.0001463645,0.005525375,0.000003219269,0.0000012374358,0.0032614511,0.022352057,0.019060781],"study_design_scores_gemma":[0.00015360689,0.000015972304,0.5747822,0.00002085251,0.000020153344,0.0000011256974,0.007304955,0.000003925181,8.3723256e-7,0.0008564873,0.416535,0.00030487543],"about_ca_topic_score_codex":0.99860114,"about_ca_topic_score_gemma":0.9999928,"teacher_disagreement_score":0.39418295,"about_ca_system_score_codex":0.00034853106,"about_ca_system_score_gemma":0.00073821674,"threshold_uncertainty_score":0.9998266},"labels":[],"label_agreement":null},{"id":"W4389109428","doi":"10.32866/001c.90056","title":"Patterns in Bike Theft and Recovery","year":2023,"lang":"en","type":"article","venue":"Findings","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Variety (cybernetics); Identity theft; Computer security; Internet privacy; Business; Computer science; Artificial intelligence","score_opus":0.027610835745729347,"score_gpt":0.29974584183521047,"score_spread":0.2721350060894811,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389109428","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9926911,0.000016077378,0.000004130857,0.00078765367,0.00013584369,0.00006555043,0.000008946087,0.000063879124,0.006226834],"genre_scores_gemma":[0.9965006,0.0000675156,0.0000075868,0.00006862547,0.000052661784,0.0000039837637,0.0000058190626,0.0000034115885,0.0032897606],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99950385,0.000019755942,0.00007695535,0.00012681838,0.00010152793,0.00017111495],"domain_scores_gemma":[0.99983937,0.000054908698,0.000013297302,0.000051438274,0.000006124654,0.000034876113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040392234,0.000036329133,0.000060771923,0.00006990098,0.00010848685,0.00003782055,0.00008454841,0.000045457713,0.000180869],"category_scores_gemma":[0.0000415142,0.000033998203,0.000018237824,0.0002948479,0.00004205802,0.00016210567,0.00001466722,0.000061015384,0.000042913187],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002433341,0.0000050758763,0.9922076,0.0000059283375,9.909043e-7,0.000005777546,0.005230098,1.731124e-7,0.000025656153,0.00024369694,0.00049773767,0.0017748445],"study_design_scores_gemma":[0.000073123,0.0000051930415,0.98815167,0.000015231647,0.0000013134472,2.4714453e-8,0.0009116165,0.0000035415399,0.000032478943,0.0026076115,0.008149206,0.00004900495],"about_ca_topic_score_codex":0.0025353164,"about_ca_topic_score_gemma":0.0076567465,"teacher_disagreement_score":0.007651468,"about_ca_system_score_codex":0.000019377514,"about_ca_system_score_gemma":0.000021866997,"threshold_uncertainty_score":0.42726442},"labels":[],"label_agreement":null},{"id":"W4389194826","doi":"10.1177/03611981231205881","title":"Enhancing the Spatial Transferability of Direct Demand Models for Estimating Pedestrian Volumes at Intersections","year":2023,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Pedestrian; Transferability; Calibration; Computer science; Estimation; Statistics; Transport engineering; Mathematics; Engineering; Machine learning","score_opus":0.1321051300270147,"score_gpt":0.4237371702067209,"score_spread":0.29163204017970623,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389194826","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9659879,0.00011342153,0.026529817,0.0041162474,0.0008551536,0.0018901883,0.00017688634,0.00005369175,0.00027670118],"genre_scores_gemma":[0.99691916,0.00033478913,0.0013031419,0.000013277962,0.00036978215,0.00015825429,0.000027212656,0.000038698763,0.000835684],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99179024,0.0018252911,0.0017569856,0.00044277546,0.0032082014,0.00097648596],"domain_scores_gemma":[0.99147964,0.003946539,0.0004735771,0.00045944052,0.003333196,0.0003075944],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0150550185,0.00021586218,0.0005381949,0.0006278144,0.0027297037,0.00012857182,0.0012760548,0.00020312566,0.00021409552],"category_scores_gemma":[0.00075207616,0.00014945792,0.00071400846,0.00269544,0.0016806116,0.0008053421,0.000008110423,0.0012378868,0.0000051570423],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0043567913,0.0005860045,0.8293455,0.0015161161,0.00047923258,0.000033214965,0.10752802,0.024066834,0.009205468,0.002513252,0.0038852256,0.016484331],"study_design_scores_gemma":[0.0017836529,0.0005838644,0.9450046,0.0005258324,0.0001727348,1.08812344e-7,0.01700934,0.0066758655,0.005258144,0.019369904,0.0033326196,0.00028337684],"about_ca_topic_score_codex":0.07558683,"about_ca_topic_score_gemma":0.6870193,"teacher_disagreement_score":0.61143243,"about_ca_system_score_codex":0.00033289642,"about_ca_system_score_gemma":0.0011162398,"threshold_uncertainty_score":0.9985686},"labels":[],"label_agreement":null},{"id":"W4389232944","doi":"10.1016/j.cities.2023.104676","title":"Causal identification of transit-induced property value uplift in Canada's Waterloo Region: A spatio-temporal difference-in-differences method application","year":2023,"lang":"en","type":"article","venue":"Cities","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"Social Sciences and Humanities Research Council of Canada; China Scholarship Council","keywords":"Identification (biology); Transit (satellite); Investment (military); Anticipation (artificial intelligence); Land use; Econometrics; Transport engineering; Transit-oriented development; Value (mathematics); Geography; Light rail transit; Economic geography; Computer science; Regional science; Economics; Public transport; Engineering; Civil engineering","score_opus":0.048767292448671076,"score_gpt":0.29833298325042545,"score_spread":0.2495656908017544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389232944","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971143,0.000025744956,0.0006582129,0.0011460779,0.00016630765,0.00045715246,0.000014312961,0.00004791919,0.00036996746],"genre_scores_gemma":[0.9986921,0.00002120238,0.000043205262,0.00001694642,0.000048891114,0.00011504005,0.000054984197,0.0000073891115,0.0010002671],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99829125,0.00022712468,0.0005090524,0.00030645911,0.0003904581,0.00027564712],"domain_scores_gemma":[0.9994431,0.000096387324,0.00014344233,0.00019405241,0.00006839038,0.0000546364],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006796979,0.00011411097,0.00026640354,0.00014436671,0.00013197208,0.000032259,0.0002863677,0.00006221365,0.000020796731],"category_scores_gemma":[0.00003630744,0.00008799286,0.000038957787,0.0006696235,0.00012660936,0.00017610654,0.00001105694,0.00011731246,0.0000020449797],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027027305,0.000032007367,0.97564536,0.00008131191,0.0000056646168,0.00000794926,0.015489898,0.000032652977,0.0010851816,0.0011912194,0.00003106688,0.0063706483],"study_design_scores_gemma":[0.00019547963,0.000012233822,0.9801096,0.000043404914,0.000008781562,1.3755114e-7,0.010341513,0.0014939955,0.0029789442,0.004585457,0.0000889306,0.00014156467],"about_ca_topic_score_codex":0.96548724,"about_ca_topic_score_gemma":0.99194986,"teacher_disagreement_score":0.02646258,"about_ca_system_score_codex":0.00021953526,"about_ca_system_score_gemma":0.00095665175,"threshold_uncertainty_score":0.3588245},"labels":[],"label_agreement":null},{"id":"W4389233762","doi":"10.32866/001c.90533","title":"Cycling Frequency Changes During the COVID-19 Pandemic in Canada’s Most Populous Urban Regions","year":2023,"lang":"en","type":"article","venue":"Findings","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto; Simon Fraser University; McGill University; Toronto Metropolitan University","funders":"Social Sciences and Humanities Research Council of Canada; Simon Fraser University","keywords":"Cycling; Pandemic; Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Geography; Demography; Gerontology; Medicine; Virology; Sociology; Outbreak","score_opus":0.05847567607056871,"score_gpt":0.3120573758973871,"score_spread":0.2535816998268184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389233762","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9864292,0.00011301964,0.0000022882446,0.011516089,0.00029188406,0.00021633205,0.000032444525,0.0001466496,0.0012520785],"genre_scores_gemma":[0.9970622,0.00009345234,0.000004999945,0.0007043847,0.00018082703,0.000026760767,0.000017274544,0.000010257928,0.0018998558],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99865776,0.000074632815,0.00018864342,0.00025968748,0.00032421836,0.0004950423],"domain_scores_gemma":[0.9993999,0.00018029433,0.000060096827,0.00017956962,0.000018128168,0.0001619945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068381586,0.00009774999,0.00013327022,0.000094860254,0.0009714263,0.000047782913,0.00041877443,0.000070638205,0.00013249269],"category_scores_gemma":[0.00036890147,0.00008055708,0.000032806794,0.0009629504,0.00013497901,0.000118039294,0.000030394518,0.00023019877,0.000013082322],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002820342,0.0000039981464,0.98467475,0.000016675081,0.0000033097544,0.00003848547,0.0124697285,0.0000066907296,0.00011184633,0.00046692352,0.0021535042,0.000051255105],"study_design_scores_gemma":[0.00015547298,0.0000032409355,0.9794332,0.000019887397,0.0000062332247,7.594304e-7,0.0051274234,0.000004735344,0.000016799937,0.001619044,0.0134748025,0.00013843185],"about_ca_topic_score_codex":0.97851557,"about_ca_topic_score_gemma":0.9990105,"teacher_disagreement_score":0.02049497,"about_ca_system_score_codex":0.0010907036,"about_ca_system_score_gemma":0.0015281993,"threshold_uncertainty_score":0.7471524},"labels":[],"label_agreement":null},{"id":"W4389280069","doi":"10.1016/j.apgeog.2023.103167","title":"The utility of street view imagery in environmental audits for runnability","year":2023,"lang":"en","type":"article","venue":"Applied Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Audit; Proxy (statistics); Metropolitan area; Cartography; Geography; Data science; Computer science; Accounting; Business; Machine learning; Archaeology","score_opus":0.014823484381637326,"score_gpt":0.2712937700707065,"score_spread":0.25647028568906916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389280069","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99420315,0.0001905364,0.000027684355,0.00026216474,0.00010214607,0.00080886093,0.00009121811,0.00005750591,0.0042567514],"genre_scores_gemma":[0.99950016,0.00015839709,0.00004868108,0.000026467944,0.000040978357,0.00015979176,0.000035133202,0.000005639248,0.000024754361],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99873,0.00005559853,0.00031285788,0.0002827248,0.00026335433,0.00035543894],"domain_scores_gemma":[0.9991888,0.00035911918,0.00008891908,0.00029289123,0.000013325624,0.000056978104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017670717,0.00009405908,0.00017314169,0.000064309825,0.00037646844,0.000020274352,0.00031668824,0.000070531256,0.0000864134],"category_scores_gemma":[0.000031742205,0.000074129886,0.00017102124,0.00064397213,0.00088052894,0.00007699583,0.000033617376,0.0000911451,0.000006554795],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003767786,0.00009492192,0.97547704,0.000030137664,0.000010967288,2.8700097e-7,0.00061878294,4.2103974e-7,0.00008186903,0.00075103086,0.0003618053,0.022535054],"study_design_scores_gemma":[0.00018708371,0.000007947638,0.96507496,0.0000037253433,0.000009314104,2.7543865e-9,0.0014797029,0.00000875488,0.00017958935,0.02107138,0.0119007975,0.00007671689],"about_ca_topic_score_codex":0.00068555033,"about_ca_topic_score_gemma":0.0046148584,"teacher_disagreement_score":0.022458335,"about_ca_system_score_codex":0.000014267305,"about_ca_system_score_gemma":0.000042100044,"threshold_uncertainty_score":0.32443458},"labels":[],"label_agreement":null},{"id":"W4389284941","doi":"10.1016/j.ypmed.2023.107792","title":"Mediation analysis of the associations between neighbourhood walkability and greenness, accelerometer-measured physical activity, and health-related fitness in urban dwelling Canadians","year":2023,"lang":"en","type":"article","venue":"Preventive Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Public Health Agency of Canada; University of Ottawa; University of Calgary","funders":"Canadian Institutes of Health Research","keywords":"Walkability; Cardiorespiratory fitness; Neighbourhood (mathematics); Medicine; Physical fitness; Environmental health; Gerontology; Demography; Physical activity; Physical therapy","score_opus":0.05471476987201687,"score_gpt":0.34288262114728,"score_spread":0.2881678512752631,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389284941","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99131763,0.00011073175,0.000032755514,0.007778989,0.00007685676,0.00039935348,0.00009537799,0.000024992776,0.00016329225],"genre_scores_gemma":[0.99971515,0.00003157725,0.000002756033,0.0000134796355,0.00008118854,0.000011316031,0.00005600821,0.0000052577984,0.00008327181],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983596,0.00037628046,0.0003235675,0.00027957308,0.00040883283,0.00025213335],"domain_scores_gemma":[0.9988789,0.00047978226,0.00029472375,0.00013089582,0.00009183783,0.00012387324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024461017,0.00009982011,0.00051458797,0.00024635208,0.00028915817,0.000012604145,0.0001536654,0.00007314384,0.000032469212],"category_scores_gemma":[0.00038835668,0.000075943026,0.00007718347,0.003044312,0.00041184897,0.00018964562,0.00003292542,0.000187406,2.6333402e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000025045053,0.00004727004,0.9744327,0.000021347956,0.00015798533,2.88816e-7,0.019649398,0.000006492285,0.000042659387,0.00009654383,0.000014807445,0.005528018],"study_design_scores_gemma":[0.00030867243,0.000020457483,0.9953146,0.000037267124,0.00026396988,7.4685715e-9,0.0009960118,0.00041287518,0.000020210777,0.0025566826,0.0000043148407,0.000064958345],"about_ca_topic_score_codex":0.1342916,"about_ca_topic_score_gemma":0.2852343,"teacher_disagreement_score":0.1509427,"about_ca_system_score_codex":0.00017191806,"about_ca_system_score_gemma":0.00014295662,"threshold_uncertainty_score":0.87147325},"labels":[],"label_agreement":null},{"id":"W4389290308","doi":"10.14710/jpk.11.1.26-36","title":"POTENSI PENGEMBANGAN KAWASAN BERBASIS TOD PADA KAWASAN STASIUN PASAR SENEN","year":2023,"lang":"id","type":"article","venue":"Jurnal Pengembangan Kota","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Forestry; Physics; Geography","score_opus":0.034102024670768026,"score_gpt":0.29483171776836264,"score_spread":0.26072969309759464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389290308","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9426618,0.0017866313,0.000014927297,0.013618491,0.0038595037,0.0013084791,0.0005098275,0.0009652555,0.035275076],"genre_scores_gemma":[0.94972605,0.0015837536,0.00014095228,0.0008316707,0.0037754115,0.000056020202,0.0003318954,0.00024221734,0.043312006],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9887375,0.0011565218,0.0019007454,0.0022188898,0.002839638,0.003146703],"domain_scores_gemma":[0.994298,0.0006494524,0.0009295517,0.0017982845,0.00069086504,0.0016338517],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0034885448,0.0013175743,0.0016620231,0.0006926619,0.0030200074,0.001118936,0.0025757295,0.0010148046,0.0025934891],"category_scores_gemma":[0.0004980625,0.0013187025,0.0012340067,0.004215412,0.0012441948,0.0016315671,0.00048490876,0.0021131733,0.0037583688],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008744281,0.0025065052,0.33176178,0.0012301183,0.002010231,0.00470003,0.05018543,0.0000975514,0.013322534,0.00334643,0.50553465,0.08443032],"study_design_scores_gemma":[0.0024630604,0.000684541,0.49977207,0.00045851455,0.000944716,0.000020160032,0.022515878,0.00017711685,0.0033692333,0.002118503,0.46457326,0.0029029455],"about_ca_topic_score_codex":0.005222867,"about_ca_topic_score_gemma":0.014021457,"teacher_disagreement_score":0.1680103,"about_ca_system_score_codex":0.00058771233,"about_ca_system_score_gemma":0.0011237494,"threshold_uncertainty_score":0.99995756},"labels":[],"label_agreement":null},{"id":"W4389325187","doi":"10.1080/01441647.2023.2289382","title":"Shifting gears: Toward a new way of thinking about transportation","year":2023,"lang":"en","type":"article","venue":"Transport Reviews","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Engineering; Management; Transport engineering; Economics","score_opus":0.08514622057504881,"score_gpt":0.3555085590921058,"score_spread":0.27036233851705704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389325187","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9769267,0.008464394,0.0018166461,0.0010602764,0.0004379974,0.001204072,0.0000370767,0.00046435546,0.009588478],"genre_scores_gemma":[0.9890029,0.007839533,0.0010651177,0.00012284596,0.00027283258,0.000026849697,0.00015504674,0.000024981007,0.0014898875],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99747986,0.00010249628,0.001045014,0.00039308434,0.0005132427,0.0004662964],"domain_scores_gemma":[0.9990713,0.000061044026,0.0003146897,0.00028737655,0.000066572225,0.00019899705],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023113103,0.0002028931,0.000620469,0.00011662538,0.00025186795,0.000024014678,0.00048780272,0.00014562732,0.0008436024],"category_scores_gemma":[0.000045051416,0.00018113395,0.00041927546,0.0012898148,0.00016577478,0.00045039717,0.0000024771803,0.00020681118,0.00010933578],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000386119,0.000090401125,0.73161113,0.0011024408,0.00004302301,0.000027299822,0.15904102,0.00002497619,0.00050803076,0.007430431,0.0013581087,0.09872451],"study_design_scores_gemma":[0.00031468488,0.000023592971,0.7136219,0.0005563597,0.00013266466,6.616002e-8,0.0010416069,0.000004845854,0.00018464006,0.0036822637,0.28014433,0.0002930224],"about_ca_topic_score_codex":0.00466896,"about_ca_topic_score_gemma":0.011096585,"teacher_disagreement_score":0.2787862,"about_ca_system_score_codex":0.000034414363,"about_ca_system_score_gemma":0.00023168545,"threshold_uncertainty_score":0.9236855},"labels":[],"label_agreement":null},{"id":"W4389335305","doi":"10.3390/youth3040088","title":"Exploring the Association between Air Pollution and Active School Transportation: Perceptions of Children and Youth in India","year":2023,"lang":"en","type":"article","venue":"Youth","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Children’s Health Research Institute; Lawson Health Research Institute; Western University; Toronto Metropolitan University","funders":"","keywords":"Logistic regression; Environmental health; Air quality index; Demography; Air pollution; Observational study; Effect modification; Medicine; Geography; Gerontology; Sociology; Confidence interval; Meteorology","score_opus":0.047345900766491984,"score_gpt":0.2802856029983656,"score_spread":0.2329397022318736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389335305","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986524,0.000013036717,0.0000053619237,0.00032032924,0.0000408899,0.00019965402,0.0004330425,0.000038076265,0.00029721885],"genre_scores_gemma":[0.9996047,0.00008437367,0.0000061272467,0.000013576352,0.00009757031,0.000006943685,0.00015119785,0.0000039291604,0.000031569023],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99931294,0.000071925126,0.00015039045,0.0001342221,0.00019340316,0.00013709808],"domain_scores_gemma":[0.9997536,0.000039871324,0.00007566463,0.000055966775,0.000027806858,0.000047084268],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048263714,0.00005303346,0.000099575904,0.00007653719,0.00023462597,0.000018078543,0.00006366104,0.000050750812,0.000009106001],"category_scores_gemma":[0.000048531823,0.000044724708,0.00002564081,0.0004699825,0.00009079276,0.00040978089,0.000004507856,0.00011397821,0.0000021713029],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004020983,0.000005616671,0.868622,0.0000022652896,0.000009760807,5.841959e-8,0.13039358,0.0000027726867,0.0000045819806,0.000069889706,0.0000016039681,0.0008838479],"study_design_scores_gemma":[0.00016957126,0.000007326422,0.93183786,0.000013633855,0.000052940704,2.7187017e-9,0.06768538,3.9386495e-7,0.000021359654,0.00016315376,0.0000013139903,0.000047072062],"about_ca_topic_score_codex":0.0047237477,"about_ca_topic_score_gemma":0.0036695169,"teacher_disagreement_score":0.06321585,"about_ca_system_score_codex":0.00005967152,"about_ca_system_score_gemma":0.000045018405,"threshold_uncertainty_score":0.7140925},"labels":[],"label_agreement":null},{"id":"W4389357279","doi":"10.1130/abs/2023am-396113","title":"USING UNIT STREAM POWER AT THE BASIN SCALE: AN APPROACH TO SUPPORTING RESILIENT URBAN STREAM CORRIDORS","year":2023,"lang":"en","type":"article","venue":"Abstracts with programs - Geological Society of America","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Stillwater (Canada)","funders":"","keywords":"Stream power; Scale (ratio); Urban stream; Environmental science; Unit (ring theory); Computer science; STREAMS; Geology; Geography; Geomorphology; Computer network; Cartography","score_opus":0.05244671231871794,"score_gpt":0.3235115955936347,"score_spread":0.27106488327491673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389357279","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98992497,0.000026512509,0.0002295787,0.0011808014,0.00006382955,0.0010512258,0.000020072222,0.00033213338,0.007170862],"genre_scores_gemma":[0.9876922,0.000012098653,0.010689962,0.0004912758,0.000100783865,0.00005095719,0.00012851688,0.000023326771,0.0008109295],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9964075,0.0002140628,0.00060567714,0.0007391985,0.0009368753,0.001096681],"domain_scores_gemma":[0.99815404,0.00020089166,0.0004796043,0.00048757604,0.00022102919,0.00045688],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014264247,0.000297438,0.0004556161,0.000030893505,0.0011912035,0.000115053794,0.00068272755,0.00023614381,0.0002629178],"category_scores_gemma":[0.00009054449,0.00018536324,0.0002695405,0.00166511,0.0026824307,0.00027286814,0.00015035529,0.0004032807,0.000024821218],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000110292705,0.0010679893,0.9563151,0.00003330531,0.00007085878,0.000007999809,0.017878547,0.0027000532,0.00008108415,0.000022269045,0.0017301964,0.019982306],"study_design_scores_gemma":[0.0003551745,0.0008070552,0.91025317,0.000046067507,0.000085939006,0.0000017555834,0.06730988,0.0006970929,0.00015668661,0.00012600872,0.01968753,0.00047365171],"about_ca_topic_score_codex":0.011366353,"about_ca_topic_score_gemma":0.00065392576,"teacher_disagreement_score":0.049431328,"about_ca_system_score_codex":0.00010772715,"about_ca_system_score_gemma":0.00020709739,"threshold_uncertainty_score":0.995217},"labels":[],"label_agreement":null},{"id":"W4389429270","doi":"10.1186/s12966-023-01533-y","title":"Prioritizing a research agenda on built environments and physical activity: a twin panel Delphi consensus process with researchers and knowledge users","year":2023,"lang":"en","type":"article","venue":"International Journal of Behavioral Nutrition and Physical Activity","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; University of Ottawa; Dalhousie University; Research Institute for Aging; Infrastructure Canada; Carleton University; University of Waterloo; Western University; University of Victoria; University of Lethbridge; University of New Brunswick; University of Saskatchewan; University of Calgary; Canadian Public Health Association; Simon Fraser University; Alberta Health Services; University of Toronto; Parachute; University of British Columbia; Institut National de Santé Publique du Québec; Ottawa Public Health; BC Centre for Disease Control; Public Health Agency of Canada; Children's Hospital of Eastern Ontario; Statistics Canada","funders":"National Institute of Environmental Health Sciences; Fundação para a Ciência e a Tecnologia; Canadian Institutes of Health Research; Health Canada; Research Institute for Aging, University of Waterloo; Social Sciences and Humanities Research Council of Canada; RMIT University; Children's Hospital Foundation; Government of Canada; Public Health Agency; Lawson Foundation; Children's Health Research Institute; University of Lethbridge; Women and Children's Health Research Institute; Public Health Agency of Canada; Stollery Children’s Hospital Foundation; Michael Smith Health Research BC; World Health Organization","keywords":"Behavioural sciences; Delphi method; Process (computing); Delphi; Knowledge management; Process management; Management science; Psychology; Medicine; Computer science; Engineering","score_opus":0.3042557096678234,"score_gpt":0.4967674745092296,"score_spread":0.1925117648414062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389429270","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975388,0.000024805136,0.000006426691,0.0019779766,0.000057609264,0.00023866598,0.000040171326,0.000016182474,0.00009934757],"genre_scores_gemma":[0.9994009,0.000116679425,0.000019167765,0.000010235222,0.000358111,0.000014675177,0.0000030266103,0.000010784616,0.000066399276],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9979905,0.00032393806,0.00011526722,0.00027503443,0.0010222534,0.0002730082],"domain_scores_gemma":[0.9989227,0.0004222523,0.00011418455,0.00006591327,0.00023895185,0.000235967],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006986966,0.00012478627,0.00022906806,0.00020426554,0.00032531016,0.00017321193,0.00016422407,0.00006575471,0.0000037796667],"category_scores_gemma":[0.000057309127,0.00010529577,0.00006141972,0.0002882438,0.0008935902,0.00048505972,0.000057626985,0.00061237405,0.0000023390367],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.010964593,0.029726101,0.23895884,0.00037133347,0.00038391238,0.0011935548,0.094309784,0.000008763121,0.16554853,0.0010804046,0.0006557568,0.4567984],"study_design_scores_gemma":[0.004353449,0.0014202321,0.9668575,0.00056851323,0.00008767025,0.000023763792,0.011044517,0.0006192327,0.008234634,0.004489498,0.0018987451,0.0004022263],"about_ca_topic_score_codex":0.00044607528,"about_ca_topic_score_gemma":0.00018019027,"teacher_disagreement_score":0.72789866,"about_ca_system_score_codex":0.0001280825,"about_ca_system_score_gemma":0.00013344947,"threshold_uncertainty_score":0.42938367},"labels":[],"label_agreement":null},{"id":"W4389469257","doi":"10.1016/j.tra.2023.103922","title":"Investigation of the interaction between urban rail ridership and network topology characteristics using temporal lagged and reciprocal effects: A case study of Chengdu, China","year":2023,"lang":"en","type":"article","venue":"Transportation Research Part A Policy and Practice","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Betweenness centrality; Urban rail transit; Ranking (information retrieval); Reciprocal; Causality (physics); Centrality; Covariate; Econometrics; Contrast (vision); Closeness; Transport engineering; Demographic economics; Geography; Computer science; Mathematics; Engineering; Statistics; Economics; Physics","score_opus":0.22074084274988318,"score_gpt":0.47019437839545536,"score_spread":0.24945353564557218,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389469257","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971634,0.000060481554,0.00001796018,0.0018650746,0.00006394078,0.00071152876,0.000021290765,0.000018856317,0.000077472374],"genre_scores_gemma":[0.9994579,0.00009992958,0.000053234173,0.000028158429,0.00027311957,0.000014594365,0.000018318457,0.000007723963,0.000047021804],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970199,0.0017471457,0.0003845709,0.00022681303,0.00036529044,0.0002562836],"domain_scores_gemma":[0.99651235,0.0027978336,0.000262694,0.00012447515,0.0001831728,0.0001194979],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004033333,0.000090337235,0.00022088608,0.00013703201,0.0006471022,0.000044532982,0.00007736658,0.00010333153,0.0000059758345],"category_scores_gemma":[0.0014972998,0.00007645778,0.000023076465,0.0009653792,0.00073810853,0.0005419504,0.000012519094,0.00035138652,2.1584269e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018952448,0.000040721403,0.9212146,0.0001770206,0.000041593154,0.000022948017,0.07684727,0.000004362598,0.00009292462,0.0006137559,0.000037234342,0.0007180846],"study_design_scores_gemma":[0.00054276834,0.00024746673,0.9698903,0.000078461766,0.00011229708,0.0000036615854,0.027110303,0.00007600845,0.00008940031,0.0010087981,0.00076038437,0.000080131904],"about_ca_topic_score_codex":0.059876494,"about_ca_topic_score_gemma":0.011678493,"teacher_disagreement_score":0.04973696,"about_ca_system_score_codex":0.000024973835,"about_ca_system_score_gemma":0.0002049446,"threshold_uncertainty_score":0.9463839},"labels":[],"label_agreement":null},{"id":"W4389480271","doi":"10.1186/s12877-023-04566-x","title":"Verification of a comprehensive framework for mobility using data from the Canadian Longitudinal Study on Aging: a structural equation modeling analysis","year":2023,"lang":"en","type":"article","venue":"BMC Geriatrics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Manitoba","funders":"Canadian Institutes of Health Research; Government of Canada","keywords":"Structural equation modeling; Psychosocial; Gerontology; Cognition; Latent variable; Medicine; Generalized estimating equation; Cross-sectional study; Psychiatry","score_opus":0.4582430284980103,"score_gpt":0.4470829684014479,"score_spread":0.011160060096562396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389480271","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9094027,0.000040307536,0.089195885,0.00009149907,0.00018990385,0.000648391,0.00039739956,0.000028485383,0.0000053912263],"genre_scores_gemma":[0.99526554,0.0000023103,0.0040383325,0.000011195007,0.00020519325,0.000011236461,0.00045821848,0.000006061741,0.0000019001028],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998544,0.00017041585,0.00030162197,0.00039619592,0.00037407846,0.0002137339],"domain_scores_gemma":[0.9981478,0.0006814344,0.00016263257,0.00069269,0.0002445865,0.00007086759],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010191851,0.00008772806,0.00019240256,0.00013651821,0.0007797795,0.00010390289,0.0005394663,0.000082382336,0.00001979914],"category_scores_gemma":[0.000446021,0.00007323969,0.000086992535,0.0018714322,0.00006622816,0.00018250551,0.000035392757,0.00010306855,0.0000014059959],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025058156,0.000025732514,0.9615979,0.000007728633,0.00007670156,2.1468051e-7,0.005442759,0.03233413,0.0000044073267,0.00040949823,0.0000057616267,0.00007007671],"study_design_scores_gemma":[0.00008211446,0.0000083453015,0.6209208,0.0000028733014,0.00031941957,2.1922868e-9,0.006221509,0.36869338,0.0000011585546,0.0036878611,0.0000055224955,0.00005702785],"about_ca_topic_score_codex":0.5634275,"about_ca_topic_score_gemma":0.79467195,"teacher_disagreement_score":0.34067714,"about_ca_system_score_codex":0.00015734047,"about_ca_system_score_gemma":0.0004919118,"threshold_uncertainty_score":0.59975123},"labels":[],"label_agreement":null},{"id":"W4389485240","doi":"10.3389/fpubh.2023.1268502","title":"Greenway interventions effectively enhance physical activity levels—A systematic review with meta-analysis","year":2023,"lang":"en","type":"article","venue":"Frontiers in Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Meta-analysis; Cochrane Library; Psychological intervention; Scopus; Confidence interval; MEDLINE; Medicine; Systematic review; Strictly standardized mean difference; Web of science; Environmental health; Family medicine; Gerontology; Internal medicine; Nursing","score_opus":0.1674540225363827,"score_gpt":0.42282508878087,"score_spread":0.2553710662444873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389485240","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30666283,0.057991818,0.43668237,0.16358523,0.0015839958,0.023245085,0.0006830284,0.0019885963,0.0075770426],"genre_scores_gemma":[0.9968655,0.00042136497,0.0003718577,0.00032804842,0.000035733105,0.00057774613,0.000019865769,0.000012060571,0.0013677983],"study_design_codex":"systematic_review","study_design_gemma":"observational","domain_scores_codex":[0.9956363,0.0020872701,0.0004785804,0.00050240604,0.00066674047,0.0006287465],"domain_scores_gemma":[0.9985306,0.00020242654,0.00040537593,0.00045672912,0.00012354781,0.00028129146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0070061465,0.00018310394,0.0019847155,0.0004066443,0.00038745612,0.00008571,0.00045885678,0.000057877183,0.00008867598],"category_scores_gemma":[0.00043858896,0.00013148064,0.0010786075,0.0056367754,0.00021398287,0.0006226376,0.000029122963,0.00027618816,0.000019797986],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003576401,0.0033209806,0.22271253,0.58744806,0.12287898,0.00004610723,0.025992397,0.00003502546,0.0000013024843,0.004397079,0.022873027,0.010258715],"study_design_scores_gemma":[0.0007260187,0.00039049992,0.8559566,0.012729724,0.11806708,4.2267922e-7,0.0049531837,0.0011551864,0.000010407498,0.0024637158,0.0021794168,0.0013677632],"about_ca_topic_score_codex":0.0021220527,"about_ca_topic_score_gemma":0.007031925,"teacher_disagreement_score":0.6902027,"about_ca_system_score_codex":0.00038939182,"about_ca_system_score_gemma":0.00057908637,"threshold_uncertainty_score":0.53616256},"labels":[],"label_agreement":null},{"id":"W4389491121","doi":"10.1002/9781394256204.ch4","title":"Children's Mobility","year":2023,"lang":"en","type":"other","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Diversity (politics); Modal; Physical activity; Geography; Political science; Public relations; Medicine; Physical medicine and rehabilitation","score_opus":0.017367725473187677,"score_gpt":0.3032432566326458,"score_spread":0.28587553115945813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389491121","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006613424,0.00011526722,0.00001794507,0.00014759753,0.0005199415,0.00030709902,0.00004030739,0.0026992238,0.99549127],"genre_scores_gemma":[0.0135929445,0.00009061794,0.00005264531,0.000038691076,0.0011106178,0.000010429406,0.000013877428,0.000284204,0.984806],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99910223,0.000038165148,0.000102891834,0.0002875126,0.00025041902,0.00021877186],"domain_scores_gemma":[0.99957174,0.000024354782,0.00005063586,0.00025902689,0.000011600761,0.00008262233],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002807143,0.00010410616,0.00015891645,0.00005697155,0.00009893038,0.00002939964,0.00027519173,0.0002597242,0.024728786],"category_scores_gemma":[0.000034996716,0.00008943847,0.00009198387,0.0002078715,0.0002458104,0.000039373186,0.000014357114,0.00010924411,0.0010413481],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[6.393326e-7,0.000034866327,0.27572167,0.0000065194845,0.000018748166,0.0000010890399,0.00015030884,1.2096938e-8,3.9578488e-8,0.0013726398,0.7206732,0.0020202987],"study_design_scores_gemma":[0.00005274449,0.0000024986487,0.1592105,0.000016943019,0.00001289738,6.0604486e-9,0.00006852378,7.3790574e-8,7.821608e-7,0.000645603,0.8398406,0.00014886119],"about_ca_topic_score_codex":0.08103793,"about_ca_topic_score_gemma":0.29069465,"teacher_disagreement_score":0.20965672,"about_ca_system_score_codex":0.000034002944,"about_ca_system_score_gemma":0.00009894818,"threshold_uncertainty_score":0.9997364},"labels":[],"label_agreement":null},{"id":"W4389505784","doi":"10.1016/j.envres.2023.117890","title":"Residential relocation to assess impact of changes in the living environment on cardio-respiratory health: A narrative literature review with considerations for exposome research","year":2023,"lang":"en","type":"review","venue":"Environmental Research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"FP7 Coordination of Research Activities; Ministerio de Ciencia e Innovación; National Science Foundation; Generalitat de Catalunya; European Commission; Centres de Recerca de Catalunya; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Exposome; Relocation; Environmental health; Confounding; Built environment; Stressor; Gerontology; Narrative review; Level design; Medicine; Computer science; Ecology; Biology","score_opus":0.4059337148399418,"score_gpt":0.5410612386160832,"score_spread":0.13512752377614146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389505784","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019086596,0.98496723,0.000004837588,0.0017505947,0.00004763858,0.010729527,0.00039719194,0.0000147272995,0.00017958804],"genre_scores_gemma":[0.00942625,0.98555815,0.000043523047,0.00010224378,0.00030906557,0.0039977045,0.00013095282,0.00005631486,0.0003758218],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.98662966,0.0079993075,0.000733261,0.00085336907,0.0028465672,0.0009378358],"domain_scores_gemma":[0.9925038,0.0061262064,0.0002463758,0.00080741645,0.00007695118,0.00023922574],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.021275364,0.0003174664,0.0010806421,0.0007363654,0.0013740103,0.00019043035,0.0007506944,0.00024987914,0.00020636465],"category_scores_gemma":[0.0014208086,0.0002078325,0.0003250807,0.0015366041,0.00081692677,0.00019423294,0.00014870646,0.0014918405,0.000059175567],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040137043,0.0033894524,0.005881387,0.11302933,0.0011269584,0.00032192434,0.28307906,0.00008890415,0.000053833668,0.0013906461,0.04996943,0.5412677],"study_design_scores_gemma":[0.00055838266,0.005844876,0.020520007,0.24659152,0.00021333716,0.000005267172,0.021023273,0.0000014864455,0.0000117338295,0.0011855908,0.70298177,0.0010627504],"about_ca_topic_score_codex":0.00089333754,"about_ca_topic_score_gemma":0.0054767597,"teacher_disagreement_score":0.65301234,"about_ca_system_score_codex":0.002294507,"about_ca_system_score_gemma":0.0014465982,"threshold_uncertainty_score":0.9999261},"labels":[],"label_agreement":null},{"id":"W4389514181","doi":"10.1016/j.amepre.2023.12.002","title":"Children's Independent Mobility, School Travel, and the Surrounding Neighborhood","year":2023,"lang":"en","type":"article","venue":"American Journal of Preventive Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge; Agricultural Research Institute of Ontario; University of Ottawa; Toronto Metropolitan University; Carleton University; Health Canada; Learning Partnership; World Wildlife Fund Canada; BC Children's Hospital; University of Toronto; Université de Sherbrooke; Queen's University; Public Health Ontario; University of British Columbia","funders":"Heart and Stroke Foundation of Canada","keywords":"Geography; Environmental health; Medicine","score_opus":0.013962481128037243,"score_gpt":0.3126565415815787,"score_spread":0.29869406045354147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389514181","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.989657,0.00053722505,0.00076437276,0.0063599893,0.00033568338,0.00026759857,0.0000026701287,0.000017014043,0.002058452],"genre_scores_gemma":[0.9980253,0.00048531764,0.000026618849,0.00015870848,0.0008817021,0.000003683954,0.0000016818456,0.000007813128,0.00040917058],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977682,0.00062424835,0.0004856922,0.00016519641,0.0006939186,0.00026271056],"domain_scores_gemma":[0.99841475,0.0005163366,0.00053056446,0.00013650343,0.00016983185,0.00023200715],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0055256234,0.000112476904,0.0004571501,0.00014297609,0.0003160473,0.000033162407,0.00037053254,0.000026383117,0.00021776666],"category_scores_gemma":[0.0008191912,0.00006400085,0.000117069925,0.00082678307,0.0029418063,0.0002470067,0.00003587745,0.00035796544,0.0000051297634],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017263989,0.000056586025,0.9600803,0.000006755375,0.00014888059,0.000016106806,0.013641451,0.0000012889028,0.000054114,0.001561263,0.00038160186,0.023879007],"study_design_scores_gemma":[0.001605748,0.00023904648,0.9642988,0.000096326956,0.00012330487,0.0000062875056,0.024503889,0.0000051766083,0.000011517628,0.0088610165,0.00017414258,0.00007477437],"about_ca_topic_score_codex":0.0019031143,"about_ca_topic_score_gemma":0.00027786545,"teacher_disagreement_score":0.023804232,"about_ca_system_score_codex":0.00006684485,"about_ca_system_score_gemma":0.00018547697,"threshold_uncertainty_score":0.9997716},"labels":[],"label_agreement":null},{"id":"W4389704282","doi":"10.5194/isprs-archives-xlviii-1-w2-2023-369-2023","title":"HOW AIR QUALITY AFFECTS HUMAN MOBILITY PATTERNS: AN EXPLORATORY ANALYSIS","year":2023,"lang":"en","type":"article","venue":"˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Beijing Association for Science and Technology; China Scholarship Council; Ministry of Natural Resources of the People's Republic of China","keywords":"Beijing; Air quality index; Quality (philosophy); Environmental science; Exploratory factor analysis; Volume (thermodynamics); Transport engineering; Geography; China; Statistics; Meteorology; Mathematics; Engineering","score_opus":0.03640392409580415,"score_gpt":0.31454012738431913,"score_spread":0.27813620328851496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389704282","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23902202,0.00001585676,0.7493263,0.004821458,0.0013530375,0.00073862873,0.0001801199,0.000114657705,0.004427959],"genre_scores_gemma":[0.9981034,0.00010096399,0.00057289156,0.0007391169,0.00020341188,7.889029e-7,0.00011298808,0.000011014005,0.00015545715],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99375635,0.00089761574,0.0013870717,0.0005708831,0.0027072185,0.0006808746],"domain_scores_gemma":[0.9956154,0.0012069424,0.0018151962,0.00070077623,0.00040206517,0.00025961365],"candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":["sts"],"category_scores_codex":[0.004103374,0.0004336802,0.00057197415,0.0013304126,0.002935045,0.0012392092,0.0022973279,0.0001299891,0.000013188195],"category_scores_gemma":[0.0009254172,0.00028634834,0.0006209624,0.0024949254,0.0049118116,0.0011960622,0.0007544489,0.00047814706,0.0000025905786],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009689778,0.000037427395,0.008625118,0.000052375948,0.00017537296,3.974524e-7,0.012649114,0.0016045463,0.0011019359,0.000018283306,0.000025401132,0.9756131],"study_design_scores_gemma":[0.00049818144,0.00009787493,0.07914905,0.00014656274,0.000098875775,0.0000058233218,0.011229805,0.8979759,0.002489988,0.0061153467,0.0018644517,0.0003280948],"about_ca_topic_score_codex":0.9038882,"about_ca_topic_score_gemma":0.8027843,"teacher_disagreement_score":0.97528505,"about_ca_system_score_codex":0.00007282681,"about_ca_system_score_gemma":0.0003263118,"threshold_uncertainty_score":0.9999589},"labels":[],"label_agreement":null},{"id":"W4389794648","doi":"10.55908/sdgs.v11i12.1542","title":"Social Justice in Urban Public Transportation: A User-Centric Analysis of Fares in Portoviejo, Ecuador","year":2023,"lang":"en","type":"article","venue":"Journal of Law and Sustainable Development","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Transport Canada","funders":"","keywords":"Public transport; Socioeconomic status; Economic Justice; Payment; Business; Perception; Logistic regression; Public economics; Demographic economics; Transport engineering; Computer science; Sociology; Psychology; Economics; Engineering; Finance; Demography; Population","score_opus":0.02310690593674648,"score_gpt":0.3017009372052127,"score_spread":0.2785940312684662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389794648","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970171,0.00024045995,0.000039409195,0.0008559056,0.00005325995,0.00012860716,0.0000027186754,0.000008729199,0.0016538373],"genre_scores_gemma":[0.9989608,0.00009766157,0.00010960526,0.00007236597,0.00003964724,0.0000047245435,0.000013448272,0.0000047082813,0.00069702865],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980322,0.00010090105,0.00081304635,0.00014126518,0.00047888997,0.00043367356],"domain_scores_gemma":[0.99910957,0.00007933451,0.0003031732,0.00004871363,0.00035436658,0.00010485912],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022442278,0.00009405511,0.0004105967,0.00093787105,0.00027497835,0.000057900386,0.000181545,0.00008588867,0.00006577937],"category_scores_gemma":[0.000069479014,0.00008686953,0.00010059375,0.0034025253,0.00011787089,0.00048759155,0.000011061035,0.0001497202,3.240933e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000065306034,0.00018554213,0.9323563,0.0001993764,0.0001578734,0.00070183096,0.040331036,0.000071115006,0.0000027725541,0.024472864,0.00020378253,0.0012522079],"study_design_scores_gemma":[0.00051925704,0.000015961068,0.9382957,0.000018147894,0.00016983379,1.5970816e-7,0.038583554,0.0000123593645,0.000015530655,0.0005860477,0.021680206,0.000103198945],"about_ca_topic_score_codex":0.0012705809,"about_ca_topic_score_gemma":0.012865435,"teacher_disagreement_score":0.023886817,"about_ca_system_score_codex":0.00023000398,"about_ca_system_score_gemma":0.000921103,"threshold_uncertainty_score":0.7179215},"labels":[],"label_agreement":null},{"id":"W4389823441","doi":"10.1016/j.jtrangeo.2023.103778","title":"Shared micromobility as a first- and last-mile transit solution? Spatiotemporal insights from a novel dataset","year":2023,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":42,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"TRIPS architecture; Transit (satellite); Public transport; Last mile (transportation); Transport engineering; Geography; Computer science; Business; Mile; Engineering","score_opus":0.02173497522353706,"score_gpt":0.2779831841350896,"score_spread":0.25624820891155253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389823441","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99363154,0.0006419822,0.00047293492,0.0014340418,0.00034793245,0.00026536506,0.0029904165,0.000065815664,0.00014995667],"genre_scores_gemma":[0.9975444,0.00026084937,0.0006786453,0.00012428279,0.0002439768,0.0000059554545,0.0011129547,0.000014716103,0.000014189368],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99773765,0.00006633227,0.0007875203,0.0003699239,0.0006847385,0.0003538094],"domain_scores_gemma":[0.9987516,0.00012329585,0.0003265008,0.000258661,0.00019010624,0.0003498557],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074919173,0.00021161618,0.00044997002,0.00035818925,0.0005362416,0.00007596457,0.00044858537,0.00018754574,0.00029935545],"category_scores_gemma":[0.000025237456,0.00019028918,0.00036692224,0.0009980892,0.0004815771,0.0009634743,0.000010851163,0.00034385102,0.0000105968775],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023745888,0.0003737149,0.98952556,0.000049613354,0.00016792162,0.00012150841,0.006734041,0.000015427582,0.00083593867,0.000039303384,0.0015859752,0.00031355664],"study_design_scores_gemma":[0.0010914727,0.00010366778,0.95725626,0.000082264036,0.00016812494,0.0000020645568,0.00076088123,0.0000134535,0.00012835972,0.0019974362,0.038174376,0.0002216204],"about_ca_topic_score_codex":0.010964831,"about_ca_topic_score_gemma":0.04657412,"teacher_disagreement_score":0.0365884,"about_ca_system_score_codex":0.00002782353,"about_ca_system_score_gemma":0.00022563282,"threshold_uncertainty_score":0.99562126},"labels":[],"label_agreement":null},{"id":"W4389917219","doi":"10.1007/s11524-023-00798-9","title":"How to Achieve a Healthy City: a Scoping Review with Ten City Examples","year":2023,"lang":"en","type":"review","venue":"Journal of Urban Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Government (linguistics); Local government; City management; Health care; Public health; Urban planning; Public relations; Business; Geography; Economic growth; Public administration; Political science; Regional science; Medicine; Nursing; Engineering; Civil engineering","score_opus":0.2317811474754868,"score_gpt":0.45544878075713424,"score_spread":0.22366763328164743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389917219","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000031242296,0.97817373,0.00017183517,0.01738651,0.0005567088,0.0033592824,0.000057148016,0.00007091518,0.00019262375],"genre_scores_gemma":[0.000015547264,0.9941908,0.0007545996,0.0024254536,0.0017010631,0.00005262341,0.000015269077,0.00006563754,0.00077899866],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99349713,0.0012896261,0.0022079498,0.00055535696,0.001454628,0.0009953139],"domain_scores_gemma":[0.99343544,0.00060722773,0.0036846616,0.00049923087,0.00042923036,0.001344195],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.008137148,0.00049232686,0.0043907003,0.00044260945,0.00072091486,0.00025374384,0.0010756103,0.00024520422,0.00006950994],"category_scores_gemma":[0.00068843225,0.0003337626,0.00077676633,0.0021408806,0.00018395309,0.00046485668,0.00006179121,0.0012703788,0.0000137383],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007552123,0.00016573949,0.002871065,0.37435618,0.00022551641,0.000100298326,0.0020922602,1.0307895e-7,3.633894e-9,0.00013648476,0.025042573,0.5949342],"study_design_scores_gemma":[0.00011567475,0.0005627516,0.00014206844,0.3883204,0.00026676836,0.000011545133,0.00012757945,1.7147075e-8,4.3537227e-9,0.000042492367,0.6101758,0.00023490353],"about_ca_topic_score_codex":0.001787425,"about_ca_topic_score_gemma":0.01474323,"teacher_disagreement_score":0.5946993,"about_ca_system_score_codex":0.0010344131,"about_ca_system_score_gemma":0.01507253,"threshold_uncertainty_score":0.9999114},"labels":[],"label_agreement":null},{"id":"W4390036135","doi":"10.1371/journal.pone.0295027","title":"By cyclists, for cyclists: Road grade and elevation estimation from crowd-sourced fitness application data","year":2023,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Western Canada Research Grid; Compute Canada","keywords":"Global Positioning System; Elevation (ballistics); Mean squared error; Computer science; Cluster analysis; Lidar; Transport engineering; Statistics; Geography; Data mining; Remote sensing; Mathematics; Artificial intelligence; Engineering","score_opus":0.09766975080706254,"score_gpt":0.32860557803119317,"score_spread":0.23093582722413064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390036135","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9874069,0.000089423425,0.008692794,0.00199968,0.000033386485,0.0007025804,0.00067997363,0.00023352547,0.00016175554],"genre_scores_gemma":[0.9894531,0.000060078408,0.0017660434,0.000053928547,0.00018981789,0.00013115679,0.0079473825,0.000012735373,0.00038579942],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988411,0.00004042708,0.00021723645,0.00039337587,0.00032337263,0.0001844661],"domain_scores_gemma":[0.99922985,0.00016424144,0.00011556993,0.00036053229,0.00006155682,0.000068255235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048576444,0.00008366956,0.00014545255,0.000037365262,0.00036978285,0.00010486419,0.0003174194,0.00009359887,0.000026120355],"category_scores_gemma":[0.00025563294,0.00008985112,0.000017289647,0.00029517958,0.00010982186,0.0005541605,0.000035025932,0.00006275068,0.00001852809],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017575646,0.0024346209,0.74780536,0.00057895813,0.00031508162,0.0000012953627,0.013055356,0.000035235942,0.13705945,0.0028531987,0.014872591,0.08081308],"study_design_scores_gemma":[0.00085116044,0.000017838303,0.8949303,0.000086048974,0.00023474924,1.4235804e-8,0.00069545273,0.07457535,0.0052582263,0.019513518,0.0034765028,0.00036081218],"about_ca_topic_score_codex":0.003937897,"about_ca_topic_score_gemma":0.0014151429,"teacher_disagreement_score":0.14712495,"about_ca_system_score_codex":0.000042815333,"about_ca_system_score_gemma":0.000032719934,"threshold_uncertainty_score":0.5952948},"labels":[],"label_agreement":null},{"id":"W4390079583","doi":"10.1016/j.injury.2023.111293","title":"Secular trends in the incidence and severity of injuries sustained by riders of electric bikes and powered scooters: The experience of a level 1 adult trauma center","year":2023,"lang":"en","type":"article","venue":"Injury","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Trauma center; Incidence (geometry); Medicine; Center (category theory); Physical therapy; Surgery; Retrospective cohort study; Physics","score_opus":0.018432575598768146,"score_gpt":0.31207122227899303,"score_spread":0.2936386466802249,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390079583","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986583,0.0002456688,0.0000050665813,0.00063632487,0.000023971594,0.0001376727,0.0000692684,0.000009882489,0.00021382848],"genre_scores_gemma":[0.9997554,0.00010909394,0.000011925312,0.000059911497,0.000007977534,0.0000095273335,0.0000047814337,0.000003322193,0.000038059854],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989101,0.00015937832,0.0002794683,0.00016450456,0.00030041556,0.00018611467],"domain_scores_gemma":[0.9994677,0.00013532816,0.00012826828,0.00016148215,0.00008053247,0.000026693315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006596021,0.00008108983,0.000178112,0.00011105554,0.000107855056,0.000020214602,0.000287596,0.000054820233,0.000015170014],"category_scores_gemma":[0.00013543374,0.00005191031,0.000042110027,0.0010573157,0.00089696405,0.00023031422,0.00002963397,0.00008945022,7.69165e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015243364,0.00007801754,0.8404926,0.000052151998,0.0000120680215,0.0000017508575,0.14585339,1.348826e-7,0.003699692,0.00029813417,0.0004191557,0.008940458],"study_design_scores_gemma":[0.00023782563,0.00008551448,0.9376252,0.00003803387,0.000010824944,1.9928125e-7,0.05139227,0.000016384274,0.009457575,0.0009447617,0.00010779804,0.00008356192],"about_ca_topic_score_codex":0.0072710123,"about_ca_topic_score_gemma":0.002686878,"teacher_disagreement_score":0.09713264,"about_ca_system_score_codex":0.000013032507,"about_ca_system_score_gemma":0.000042316784,"threshold_uncertainty_score":0.99933964},"labels":[],"label_agreement":null},{"id":"W4390082432","doi":"10.1093/geroni/igad104.0738","title":"THE ROLE OF THE NEIGHBORHOOD-BUILT ENVIRONMENT ON OUTDOOR MOBILITY OF PEOPLE LIVING WITH DEMENTIA","year":2023,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia; University of Northern British Columbia; Simon Fraser University","funders":"","keywords":"Neighbourhood (mathematics); Dementia; Built environment; Psychology; Gerontology; Geography; Medicine; Engineering; Disease","score_opus":0.015146354161336787,"score_gpt":0.2688553092226669,"score_spread":0.2537089550613301,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390082432","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99568474,0.000023623421,0.00007447543,0.0006881018,0.000067669076,0.0001877312,0.0000023387345,0.000015454863,0.0032558597],"genre_scores_gemma":[0.99981743,0.000007303001,0.000016548647,0.000024094,0.000020354426,0.00001556028,0.0000013988224,0.0000036722988,0.00009366468],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99904644,0.00007461891,0.00030360222,0.00011844009,0.00032214526,0.00013474164],"domain_scores_gemma":[0.99936473,0.00018688734,0.00018799753,0.00020449764,0.00004817004,0.000007699561],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014273801,0.000047905072,0.00007411794,0.00005626143,0.00022833853,0.000016133337,0.00021979201,0.000023386969,0.000047666268],"category_scores_gemma":[0.0001118031,0.00002907606,0.000020821275,0.0013220676,0.00015329215,0.00009250841,0.00003312555,0.00008575867,0.0000018440699],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000037788932,0.00003964677,0.98311347,0.000008121176,0.0000065421555,3.671421e-8,0.006872269,0.00017839948,0.00051606144,0.006807322,0.000006291242,0.0024480792],"study_design_scores_gemma":[0.00006360665,0.000008342016,0.98920983,0.00004651197,0.0000044807484,5.390403e-9,0.0056971484,0.00013784763,0.00147078,0.002939494,0.00038718333,0.000034750636],"about_ca_topic_score_codex":0.0012918432,"about_ca_topic_score_gemma":0.001961896,"teacher_disagreement_score":0.0060963966,"about_ca_system_score_codex":0.000038723036,"about_ca_system_score_gemma":0.000057874175,"threshold_uncertainty_score":0.19528893},"labels":[],"label_agreement":null},{"id":"W4390187210","doi":"10.32866/001c.91402","title":"Linking Neighborhood Walkability to the Independence and Quality of Life of Older Adults across Canada","year":2023,"lang":"en","type":"article","venue":"Findings","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"National Research Council Canada; McGill University","funders":"National Research Council Canada; Government of Canada","keywords":"Walkability; Independence (probability theory); Perception; Quality of life (healthcare); Gerontology; Destinations; Psychology; Built environment; Environmental health; Geography; Medicine; Engineering","score_opus":0.02857615426823397,"score_gpt":0.3190435201407105,"score_spread":0.29046736587247657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390187210","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977851,0.000043398475,0.000024292462,0.001275335,0.00016604223,0.00024836638,0.00009890226,0.0000227661,0.00033578882],"genre_scores_gemma":[0.9996973,0.0000071282507,0.000013103107,0.00012144644,0.000048972834,0.0000067414217,0.000004591965,0.0000040413343,0.000096635915],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99848115,0.00008759811,0.00035063655,0.00023505763,0.00057092553,0.00027465195],"domain_scores_gemma":[0.9991032,0.00030936452,0.000121189696,0.00021263529,0.00013911955,0.00011451913],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021417423,0.00007293377,0.00019948704,0.000014002835,0.00030095904,0.000022858483,0.00035292836,0.00007651358,0.00005412543],"category_scores_gemma":[0.00072637276,0.000055979068,0.000041565057,0.0005985536,0.00020824395,0.00011896091,0.000077566016,0.00013116508,0.0000016313813],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023276985,0.000014012507,0.9629452,0.00009223463,0.000005299375,3.146576e-7,0.03469429,0.0000017118577,0.00004396022,0.0002475776,0.00010234244,0.0018297497],"study_design_scores_gemma":[0.00014227902,0.000008196269,0.99195963,0.000052954685,0.0000031342681,1.0295051e-8,0.006865186,0.0000068562285,0.00031112225,0.0002070637,0.0003756876,0.00006785518],"about_ca_topic_score_codex":0.7804961,"about_ca_topic_score_gemma":0.94143414,"teacher_disagreement_score":0.160938,"about_ca_system_score_codex":0.000047130616,"about_ca_system_score_gemma":0.00039751193,"threshold_uncertainty_score":0.23147641},"labels":[],"label_agreement":null},{"id":"W4390226386","doi":"10.1016/j.jtrangeo.2023.103766","title":"Uncovering gender-based violence and harassment in public transport: Lessons for spatial and transport justice","year":2023,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Harassment; Stalking; Public transport; Poison control; Economic Justice; Criminology; Political science; Sociology; Psychology; Social psychology; Environmental health; Medicine","score_opus":0.04708524237565059,"score_gpt":0.31695085561525116,"score_spread":0.26986561323960057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390226386","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98525316,0.00067981315,0.010160504,0.0026546898,0.00039775195,0.00047430766,0.00014266589,0.000061058156,0.00017606735],"genre_scores_gemma":[0.99650127,0.0021220425,0.00095391675,0.00013223634,0.00019278377,0.00002539212,0.000037135447,0.000025098087,0.000010119239],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972719,0.00006123586,0.00093980454,0.00041055965,0.0006752276,0.0006413016],"domain_scores_gemma":[0.99875784,0.00018361297,0.00031691472,0.00015441538,0.00020259648,0.0003846497],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0021333303,0.00026201445,0.0005472625,0.0007319539,0.0003862416,0.000039991868,0.00033097595,0.00018993233,0.000044560733],"category_scores_gemma":[0.000020885154,0.00025136422,0.0003826091,0.0009735186,0.0004109992,0.0006166906,0.0000032064745,0.00035443067,4.1303306e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023008922,0.00018642844,0.9890459,0.00034483126,0.00006174227,0.00012022643,0.0021437954,0.0002440427,0.00011730998,0.00023429019,0.000009650808,0.0072616613],"study_design_scores_gemma":[0.0019139128,0.00012616371,0.9899595,0.0002831496,0.0003243979,0.000001765606,0.001151553,0.00007953982,0.00007761832,0.0029404445,0.0028591342,0.00028284604],"about_ca_topic_score_codex":0.0013124822,"about_ca_topic_score_gemma":0.009875514,"teacher_disagreement_score":0.011248133,"about_ca_system_score_codex":0.00004416556,"about_ca_system_score_gemma":0.00046591263,"threshold_uncertainty_score":0.99999386},"labels":[],"label_agreement":null},{"id":"W4390227943","doi":"10.1016/j.tbs.2023.100736","title":"Are all bike lanes built equal? Using bike share GPS data to quantify cycling infrastructure investments’ ridership effects in Hamilton, Ontario","year":2023,"lang":"en","type":"article","venue":"Travel Behaviour and Society","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cycling; Transport engineering; Psychological intervention; Matching (statistics); Poison control; Transportation infrastructure; Business; Environmental science; Computer science; Geography; Engineering; Statistics; Mathematics; Environmental health; Psychology","score_opus":0.21678924442676412,"score_gpt":0.3862479996084281,"score_spread":0.16945875518166398,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390227943","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99827695,0.00011102576,0.00014340597,0.00017908723,0.0003156321,0.00054293574,0.00021001187,0.00012372859,0.00009723906],"genre_scores_gemma":[0.99739724,0.00004755151,0.0010291239,0.00065135205,0.00013101137,0.000013683931,0.000363642,0.00002652558,0.00033984627],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976219,0.0001127154,0.00037606686,0.0007399026,0.00047392442,0.0006754931],"domain_scores_gemma":[0.9988886,0.00014223086,0.00014466072,0.00047481954,0.0000535794,0.00029609975],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010172368,0.00026963616,0.00039748818,0.000087022774,0.0005166871,0.00020813549,0.0006343232,0.0003272739,0.0000899667],"category_scores_gemma":[0.000075736374,0.0002595899,0.00012181975,0.00064997975,0.0002025934,0.0004695934,0.0001456343,0.00048899656,0.000009407621],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000080554655,0.000044347136,0.9311193,0.00007395151,0.000022744,0.000025203448,0.06730789,0.000024210212,0.0002980805,0.00007209354,0.0008290934,0.00017500843],"study_design_scores_gemma":[0.00046511518,0.000017035994,0.98593503,0.00013230187,0.00007877243,3.4063515e-7,0.011729928,0.00016782252,0.00006147334,0.0006256732,0.00046669826,0.00031978573],"about_ca_topic_score_codex":0.122434005,"about_ca_topic_score_gemma":0.2963193,"teacher_disagreement_score":0.17388529,"about_ca_system_score_codex":0.0002249642,"about_ca_system_score_gemma":0.00023738193,"threshold_uncertainty_score":0.99998564},"labels":[],"label_agreement":null},{"id":"W4390228003","doi":"10.1016/j.tranpol.2023.12.012","title":"Transit-oriented development and bikeability: Classifying public transport station areas in Montreal, Canada","year":2023,"lang":"en","type":"article","venue":"Transport Policy","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Transit-oriented development; Public transport; Typology; Walkability; Transport engineering; Land use; TRIPS architecture; Sustainable transport; Cycling; Sustainable development; Urban planning; Land-use planning; Relevance (law); Urban sprawl; Environmental planning; Business; Sustainability; Built environment; Geography; Engineering; Civil engineering; Political science; Forestry","score_opus":0.03773383984761757,"score_gpt":0.2942613432547697,"score_spread":0.25652750340715214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390228003","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9878867,0.00006229411,0.00025086416,0.0052166665,0.00013074202,0.00051946327,0.000108044725,0.00023587355,0.0055893282],"genre_scores_gemma":[0.9982181,0.00009576225,0.00008576303,0.00021098464,0.00010392604,0.000064466694,0.00038415636,0.00002473714,0.0008120727],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970138,0.000089008645,0.00070599973,0.00057420117,0.0007210969,0.00089589],"domain_scores_gemma":[0.99908614,0.00007816565,0.00008804408,0.0002276358,0.00009525475,0.0004247803],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009222158,0.00025909892,0.00037508435,0.00040963775,0.00048640152,0.00002899447,0.00024291137,0.0001598223,0.00011888017],"category_scores_gemma":[0.000034634733,0.00027189287,0.00006984849,0.00218069,0.0002783532,0.000511149,0.000004235234,0.0002410138,0.0000058980354],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036806487,0.00008488821,0.95840836,0.00009134828,0.000021586737,0.0000967749,0.024888437,0.000028689727,0.000017865965,0.0014739481,0.00006170141,0.01478958],"study_design_scores_gemma":[0.00061894226,0.000009631678,0.96200275,0.000031602645,0.000016569695,3.196177e-7,0.003609861,0.000026073472,0.00005368175,0.00044589012,0.032898296,0.00028639127],"about_ca_topic_score_codex":0.92910916,"about_ca_topic_score_gemma":0.9982322,"teacher_disagreement_score":0.069123015,"about_ca_system_score_codex":0.0004955077,"about_ca_system_score_gemma":0.0043048584,"threshold_uncertainty_score":0.9999733},"labels":[],"label_agreement":null},{"id":"W4390246555","doi":"10.1016/j.trd.2023.104028","title":"Facing a time crunch: Time poverty and travel behaviour in Canada","year":2023,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Crunch; Poverty; Vulnerability (computing); Travel behavior; Ethnic group; Index (typography); Social vulnerability; Immigration; Demographic economics; Sociology; Economic growth; Economics; Psychology; Social psychology; Political science","score_opus":0.043020558437072934,"score_gpt":0.3013854638921239,"score_spread":0.258364905455051,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390246555","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966752,0.00013028974,0.000011951542,0.0015088912,0.000035883368,0.00057138025,0.0002349113,0.000044349246,0.00078715844],"genre_scores_gemma":[0.99524206,0.00095264806,0.000028440294,0.00006544948,0.0000353772,0.00007460374,0.0004556369,0.000020019213,0.0031257882],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99707395,0.00011577862,0.00045042424,0.00054485333,0.0010606351,0.0007543521],"domain_scores_gemma":[0.99928635,0.00011761213,0.00004276973,0.00016821559,0.000023066137,0.00036199018],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013344592,0.00018427105,0.00029180752,0.00017051994,0.00046880348,0.000028409811,0.00015756732,0.00010959664,0.0012442415],"category_scores_gemma":[0.0000056154754,0.00018721136,0.000047684454,0.00044408435,0.000347701,0.00027803498,0.000004160301,0.00033424137,0.000076451644],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005098861,0.000060145285,0.9907737,0.00004166222,0.000013610374,0.00015632942,0.006780435,0.00008594131,0.00047599451,0.0000638773,0.00052712613,0.00097021635],"study_design_scores_gemma":[0.0005063646,0.000028354645,0.9881831,0.0000355661,0.000019730467,1.0874155e-7,0.0022672783,0.000110881454,0.000087063076,0.00018052796,0.0083687585,0.00021228983],"about_ca_topic_score_codex":0.68003315,"about_ca_topic_score_gemma":0.89445525,"teacher_disagreement_score":0.21442212,"about_ca_system_score_codex":0.00022559884,"about_ca_system_score_gemma":0.0004699808,"threshold_uncertainty_score":0.9996688},"labels":[],"label_agreement":null},{"id":"W4390297968","doi":"10.1080/01441647.2023.2295377","title":"Socio-economic and demographic differences in the impact of COVID-19 on personal travel in the Global South","year":2023,"lang":"en","type":"article","venue":"Transport Reviews","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; McMaster University; University of Toronto","funders":"","keywords":"Ethnic group; Coronavirus disease 2019 (COVID-19); Socioeconomic status; Personal income; Indigenous; Pandemic; Socioeconomics; Geography; Economic growth; Sociology; Demography; Population; Medicine; Economics","score_opus":0.09920364043389555,"score_gpt":0.37774068076710304,"score_spread":0.2785370403332075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390297968","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944326,0.0019803403,0.000007890498,0.001473986,0.000033370583,0.0007328121,0.00010413626,0.000013459966,0.0012213622],"genre_scores_gemma":[0.9960771,0.0035831735,0.0000031988038,0.0002115446,0.000044685385,0.000044150398,0.000018199447,0.0000033225404,0.000014605983],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983355,0.00042402622,0.0004528663,0.00026168633,0.000236961,0.0002890045],"domain_scores_gemma":[0.9994513,0.00017254551,0.00012373111,0.00016868976,0.0000061439664,0.00007763789],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035504752,0.00015094073,0.00041289537,0.000067918714,0.00018110994,0.000024145986,0.00048150987,0.00008110612,0.00014153674],"category_scores_gemma":[0.000031519634,0.00007629542,0.00029691035,0.0007096115,0.00048345127,0.000093589144,0.000002581278,0.00018339082,0.000008734313],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019386745,0.000045593206,0.93199474,0.000057526267,0.0000062020495,0.000006058989,0.06610743,0.0000019472056,6.189347e-7,0.0007219106,0.000061318984,0.00097727],"study_design_scores_gemma":[0.00023211738,0.000042406173,0.98593897,0.000038619866,0.000020799345,2.518256e-7,0.010832022,0.00000904847,7.725966e-8,0.0021061325,0.0006904325,0.00008914829],"about_ca_topic_score_codex":0.012862937,"about_ca_topic_score_gemma":0.036703393,"teacher_disagreement_score":0.055275403,"about_ca_system_score_codex":0.000080594866,"about_ca_system_score_gemma":0.00026724528,"threshold_uncertainty_score":0.9937105},"labels":[],"label_agreement":null},{"id":"W4390461279","doi":"10.1155/2023/1693422","title":"Revealing the Impacts of the Pandemic on Travel Behavior by Examining Pre- and Post-COVID-19 Surveys","year":2023,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Travel behavior; Mode (computer interface); Social media; Travel survey; Mode choice; 2019-20 coronavirus outbreak; Psychology; Advertising; Marketing; Business; Transport engineering; Public transport; Engineering; Computer science; Medicine; World Wide Web; Outbreak","score_opus":0.03966178415970412,"score_gpt":0.34991838208989695,"score_spread":0.31025659793019283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390461279","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984131,0.00015518766,0.00022947374,0.0006322878,0.00022774731,0.00024377309,0.00005858157,0.000014536692,0.000025312565],"genre_scores_gemma":[0.999373,0.00029657182,0.000049238624,0.00011929737,0.00005497796,0.000004075443,0.000014769482,0.000008283524,0.000079781064],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985445,0.00023416178,0.00047923622,0.0001157324,0.00045971118,0.00016662023],"domain_scores_gemma":[0.99875826,0.00037996983,0.0005117841,0.00010299203,0.0001374866,0.00010952751],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002486912,0.000086883854,0.00017395403,0.000057519184,0.00031594682,0.00001941407,0.00021408025,0.000063584775,0.000011999897],"category_scores_gemma":[0.00023074535,0.000052220286,0.00008944379,0.0003952221,0.00017547696,0.00033877738,0.0000014855691,0.00022218037,2.106984e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009056698,0.000042068124,0.93392485,0.00003573755,0.000014463947,0.000004250137,0.028276114,0.00076610595,0.031525973,0.00004272848,0.000024731116,0.0052524237],"study_design_scores_gemma":[0.00043733942,0.00009167655,0.99114466,0.000060600407,0.00006403128,5.2254876e-7,0.0069875056,0.0000012375235,0.0008386241,0.00022351497,0.00009059126,0.00005972439],"about_ca_topic_score_codex":0.0006030778,"about_ca_topic_score_gemma":0.0039522415,"teacher_disagreement_score":0.057219796,"about_ca_system_score_codex":0.00005161244,"about_ca_system_score_gemma":0.00021638545,"threshold_uncertainty_score":0.24300395},"labels":[],"label_agreement":null},{"id":"W4390465946","doi":"10.23977/aetp.2023.071808","title":"Research Progress and Trends in Domestic Children's Commuting Based on Citespace","year":2023,"lang":"en","type":"article","venue":"Advances in Educational Technology and Psychology","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"China; Urbanization; Regional science; Economic growth; Geography; Political science; Economics","score_opus":0.03644220310187824,"score_gpt":0.4813679133884687,"score_spread":0.44492571028659045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390465946","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93500346,0.0021848148,0.0000050520575,0.05634302,0.0001638369,0.00012453116,0.0000033317224,0.00005653056,0.0061154505],"genre_scores_gemma":[0.99871457,0.0004839049,0.00027781495,0.00017310891,0.000046202502,0.00009074821,0.000019728031,0.0000047362073,0.00018916663],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988613,0.00017161045,0.00014999516,0.00034624676,0.00012625192,0.00034458432],"domain_scores_gemma":[0.9991909,0.0005457486,0.000036232017,0.00015959598,0.000030638526,0.00003687157],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011135893,0.00007124872,0.00011943526,0.0017293318,0.00026701944,0.000011988467,0.0002098575,0.00019365332,0.00006060792],"category_scores_gemma":[0.00018238522,0.00007157256,0.00000954537,0.0034682637,0.0018795241,0.00012350964,0.000022003669,0.00045093213,0.000006046765],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021833781,0.0001224876,0.880277,0.000004536558,0.0000011922207,0.000003930667,0.00050389173,0.000006426148,0.0000015319288,0.041733738,0.00007451176,0.07724896],"study_design_scores_gemma":[0.0002954844,0.000051706797,0.86896724,0.000026156687,9.279267e-7,0.0000013586593,0.0005369096,0.000017947594,0.0000017788672,0.12734026,0.0026965882,0.000063634914],"about_ca_topic_score_codex":0.000055906818,"about_ca_topic_score_gemma":0.001643074,"teacher_disagreement_score":0.08560652,"about_ca_system_score_codex":0.000029190132,"about_ca_system_score_gemma":0.000054600034,"threshold_uncertainty_score":0.6925185},"labels":[],"label_agreement":null},{"id":"W4390535376","doi":"10.1123/jpah.2023-0243","title":"Correlates of Active School Transportation During the COVID-19 Pandemic Among Canadian 7- to 12-Year-Olds: A National Study","year":2024,"lang":"en","type":"article","venue":"Journal of Physical Activity and Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University; Agricultural Research Institute of Ontario; BC Children's Hospital; University of British Columbia; Learning Partnership; Université de Sherbrooke; University of Lethbridge","funders":"","keywords":"TRIPS architecture; Context (archaeology); Pandemic; Logistic regression; Longitudinal study; Coronavirus disease 2019 (COVID-19); Demography; Environmental health; Geography; Psychology; Medicine; Transport engineering; Sociology","score_opus":0.05631681164886853,"score_gpt":0.3862190865435519,"score_spread":0.3299022748946834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390535376","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99534655,0.000041653897,0.000040529605,0.0040064654,0.00009294801,0.00029257915,0.000043499826,0.000009248824,0.00012655431],"genre_scores_gemma":[0.9995317,0.000023186385,0.0000047778126,0.000117242256,0.00026589094,0.0000036780334,8.35275e-7,0.000003995003,0.000048681948],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989569,0.00013933916,0.00019143024,0.000121292294,0.00042404482,0.0001670044],"domain_scores_gemma":[0.9989965,0.00021901475,0.00014228327,0.000040281047,0.00009044982,0.0005114554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010358231,0.00006671064,0.0001995765,0.000102779726,0.00040960943,0.00004677899,0.00010742024,0.00003520167,0.000029495237],"category_scores_gemma":[0.00009362,0.000046746547,0.00007928749,0.00025250873,0.00011606769,0.000463571,0.0000030907504,0.00036090636,0.0000010409466],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009179644,0.00022503798,0.9591982,0.000072573755,0.000045966717,0.0000056106282,0.038154673,0.000085670836,0.000061451705,0.00046508596,0.00007129007,0.0015226869],"study_design_scores_gemma":[0.00020546158,0.0001758383,0.9937155,0.00004015006,0.000020594895,4.7734153e-7,0.0041393344,0.000025240366,0.000013957861,0.0013652622,0.00025142232,0.000046749945],"about_ca_topic_score_codex":0.18405686,"about_ca_topic_score_gemma":0.6880864,"teacher_disagreement_score":0.5040295,"about_ca_system_score_codex":0.00053068914,"about_ca_system_score_gemma":0.0024543512,"threshold_uncertainty_score":0.82137656},"labels":[],"label_agreement":null},{"id":"W4390541765","doi":"10.1080/21650020.2023.2296891","title":"Influence of the built environment on community mobility of people living with visual disabilities: a scoping review","year":2024,"lang":"en","type":"review","venue":"Urban Planning and Transport Research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of Victoria; Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Pedestrian; Built environment; Affect (linguistics); Perception; Walkability; Neighbourhood (mathematics); Orientation and Mobility; Psychology; Applied psychology; Human–computer interaction; Computer science; Transport engineering; Engineering; Visually impaired; Communication; Civil engineering","score_opus":0.13008332800443456,"score_gpt":0.4540246842938213,"score_spread":0.32394135628938675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390541765","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24144441,0.7560235,0.0000016759172,0.000027109656,0.000021210823,0.0017997953,0.00007555641,0.000022409038,0.0005843218],"genre_scores_gemma":[0.360775,0.63888663,0.0000047684707,0.0000051103584,0.00002716974,0.00011699138,0.000015800197,0.000019642703,0.00014888246],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.99496055,0.0017190519,0.00092426536,0.00051397074,0.0013768945,0.0005052711],"domain_scores_gemma":[0.99595946,0.0027148984,0.00025756756,0.0008056642,0.00011302862,0.00014937844],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0070850584,0.00032779062,0.0014792436,0.00014217455,0.0007520608,0.00003197551,0.0008686917,0.00021373964,0.000065058666],"category_scores_gemma":[0.0003595076,0.00019594315,0.0003396055,0.00092478446,0.0022860565,0.0001330292,0.000095619485,0.0019193569,0.0000032642718],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024551136,0.0005097636,0.4231816,0.5427503,0.00014557806,0.000005004734,0.026801579,0.00002432853,2.66197e-7,0.000106615276,0.000042074145,0.00640832],"study_design_scores_gemma":[0.000076841505,0.000259328,0.05681192,0.9275545,0.0006652473,9.649593e-7,0.0023141552,7.693229e-7,0.0000016296573,0.000057301575,0.011945821,0.00031151378],"about_ca_topic_score_codex":0.0056313686,"about_ca_topic_score_gemma":0.0012236392,"teacher_disagreement_score":0.3848042,"about_ca_system_score_codex":0.00013713837,"about_ca_system_score_gemma":0.0010899944,"threshold_uncertainty_score":0.8512982},"labels":[],"label_agreement":null},{"id":"W4390571781","doi":"10.31235/osf.io/z6tvd","title":"Facing a time crunch: Time poverty and travel behaviour in Canada","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Crunch; Poverty; Vulnerability (computing); Ethnic group; Index (typography); Travel behavior; Social vulnerability; Affect (linguistics); Immigration; Demographic economics; Sociology; Economic growth; Economics; Psychology; Political science; Social psychology","score_opus":0.01580106842784616,"score_gpt":0.2605117734860558,"score_spread":0.24471070505820966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390571781","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9386807,0.00038138867,0.000004311342,0.0013867232,0.00030319145,0.00034814538,0.00016767577,0.000057151505,0.05867068],"genre_scores_gemma":[0.9728432,0.00001546613,0.00006741308,0.00023090404,0.000083544444,0.000011986162,0.000042879903,0.000012976833,0.026691616],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983737,0.0000612518,0.00030637134,0.0005371014,0.00038689916,0.00033466134],"domain_scores_gemma":[0.9995229,0.000050392206,0.000052847463,0.00019057054,0.000031191263,0.00015205651],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00042077043,0.00019276296,0.0003351969,0.000067494824,0.000103255275,0.00014215132,0.00027126027,0.00020942598,0.0019900114],"category_scores_gemma":[0.00002037521,0.00017084753,0.00006615376,0.0001442743,0.000076244745,0.000067928166,0.00019301924,0.0005783331,0.000058990263],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002038361,0.00009111812,0.9511514,0.0003195549,0.00006591386,0.00026656233,0.015032859,0.000019804082,0.00025922494,0.00035486152,0.028698651,0.0037197205],"study_design_scores_gemma":[0.00031673204,0.000012808857,0.979601,0.00041557103,0.00015068764,6.7570664e-7,0.0031903584,0.0014477827,0.0001806987,0.010957461,0.0026334105,0.0010928101],"about_ca_topic_score_codex":0.9945198,"about_ca_topic_score_gemma":0.9968064,"teacher_disagreement_score":0.03416248,"about_ca_system_score_codex":0.00063197454,"about_ca_system_score_gemma":0.003788936,"threshold_uncertainty_score":0.9989223},"labels":[],"label_agreement":null},{"id":"W4390666062","doi":"10.3389/fresc.2023.1336514","title":"Barriers and facilitators of public transport use among people with disabilities: a scoping review","year":2024,"lang":"en","type":"review","venue":"Frontiers in Rehabilitation Sciences","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre intégré universitaire de santé et de services sociaux de la Capitale-Nationale; Université Laval; Centre for Interdisciplinary Research in Rehabilitation","funders":"Social Sciences and Humanities Research Council of Canada; Réseau Provincial de Recherche en Adaptation-Réadaptation; Université Laval","keywords":"Unavailability; Public transport; PsycINFO; Applied psychology; Psychology; Public health; Business; Medical education; Medicine; MEDLINE; Nursing; Transport engineering; Engineering; Political science","score_opus":0.058118429650845814,"score_gpt":0.36735493065334185,"score_spread":0.30923650100249606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390666062","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012156193,0.983092,0.00018058071,0.00030843157,0.000512017,0.0032563633,0.00010346398,0.00006938249,0.0003215696],"genre_scores_gemma":[0.0040365807,0.9922748,0.0030045898,0.000014404781,0.000025187062,0.00043242707,0.000017294915,0.000022052434,0.00017262288],"study_design_codex":"observational","study_design_gemma":"systematic_review","domain_scores_codex":[0.9949415,0.00094624143,0.0014226149,0.0010936907,0.0010450273,0.0005509416],"domain_scores_gemma":[0.99741626,0.0013168658,0.00042040518,0.0003768867,0.0001638003,0.0003057631],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0062752147,0.00040631383,0.0020105576,0.00066586235,0.000379387,0.0001889054,0.0006500656,0.00023684115,0.0000927194],"category_scores_gemma":[0.003445529,0.00028988693,0.00038719736,0.003930988,0.0072898413,0.0019527858,0.000031046384,0.00033425927,0.0000016085695],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002652211,0.0000211592,0.80584323,0.13683836,0.00003267881,0.0000010606757,0.011488633,8.3976215e-7,2.5640108e-9,0.0003720033,0.00029605743,0.045103304],"study_design_scores_gemma":[0.00026033353,0.00040731585,0.01898595,0.74290276,0.0012403037,9.4291977e-7,0.07471263,0.000012358196,4.3505953e-8,0.0019712185,0.15815921,0.0013469468],"about_ca_topic_score_codex":0.001750285,"about_ca_topic_score_gemma":0.012995563,"teacher_disagreement_score":0.7868573,"about_ca_system_score_codex":0.0002570628,"about_ca_system_score_gemma":0.0027639642,"threshold_uncertainty_score":0.99995536},"labels":[],"label_agreement":null},{"id":"W4390763944","doi":"10.1016/j.jth.2023.101753","title":"Travel behaviour differences among people with disabilities: A cluster analysis of accessible taxi users before and during the COVID-19 pandemic","year":2024,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Holland Bloorview Kids Rehabilitation Hospital; The Scarborough Hospital; Toronto Rehabilitation Institute; University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; Alberta Conservation Association","keywords":"Paratransit; TRIPS architecture; Disadvantaged; Pandemic; Social distance; Business; Service (business); Travel behavior; Geography; Coronavirus disease 2019 (COVID-19); Internet privacy; Psychology; Transport engineering; Marketing; Medicine; Political science; Computer science; Engineering","score_opus":0.03678840870477343,"score_gpt":0.3413951074542709,"score_spread":0.3046066987494974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390763944","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9941535,0.0008217485,0.0008309481,0.0035787248,0.00013455487,0.00030274157,0.000102710634,0.000026470489,0.000048601374],"genre_scores_gemma":[0.9989031,0.0005272649,0.000057673948,0.00017181228,0.000105098385,0.0000056219737,0.000007389625,0.000012766905,0.00020927464],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99752825,0.000174715,0.00091827946,0.0002697645,0.00073335564,0.00037561252],"domain_scores_gemma":[0.9985497,0.00026915772,0.00045562952,0.00017952792,0.00009984925,0.00044614315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020704803,0.00017675688,0.0007138309,0.00030419798,0.00051354506,0.00009049658,0.00039397643,0.00009592505,0.00023332251],"category_scores_gemma":[0.00003301228,0.00010102697,0.0003162593,0.0010504544,0.0007190902,0.0006428127,0.00000719608,0.00041874617,1.1618502e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010417587,0.000066644854,0.90835834,0.0004619394,0.00029623008,0.000009187223,0.09042912,0.00006633237,0.0000024987562,0.00004286412,0.000013508368,0.00014914079],"study_design_scores_gemma":[0.0003247767,0.00014788406,0.9757057,0.00013476373,0.000801459,0.0000059237764,0.022503901,0.00004472897,0.0000018676697,0.00016160027,0.00006356332,0.00010385442],"about_ca_topic_score_codex":0.025468644,"about_ca_topic_score_gemma":0.44317904,"teacher_disagreement_score":0.4177104,"about_ca_system_score_codex":0.00023847414,"about_ca_system_score_gemma":0.0012872852,"threshold_uncertainty_score":0.98102087},"labels":[],"label_agreement":null},{"id":"W4390823596","doi":"10.1007/s11116-023-10460-7","title":"Advances and pitfalls in measuring transportation equity","year":2024,"lang":"en","type":"article","venue":"Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":66,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Injustice; Equity (law); Inequality; Public economics; Poverty; Economics; Socioeconomic status; Business; Political science; Economic growth; Sociology","score_opus":0.03952903007144231,"score_gpt":0.3470244726390236,"score_spread":0.30749544256758127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390823596","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9891026,0.0038181618,0.0015221545,0.0003895829,0.00025277908,0.00025230268,0.000029736686,0.00018908031,0.0044436045],"genre_scores_gemma":[0.99842244,0.0010721382,0.0001912291,0.000023457864,0.0000749285,0.00002086091,0.00007854995,0.000010595259,0.000105823514],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988102,0.000035943438,0.00029855405,0.00030336942,0.00032177605,0.00023019325],"domain_scores_gemma":[0.9997384,0.00005568968,0.00003159307,0.00006481415,0.00003345482,0.00007603525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056907174,0.000101810256,0.0001302433,0.00010909875,0.00013021402,0.00007706521,0.00008878907,0.00008340408,0.00011058957],"category_scores_gemma":[0.0000081987,0.000104559156,0.000048268437,0.0003997015,0.00012595899,0.0011544178,4.7229577e-7,0.00013410771,0.000005672847],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050557737,0.00006314661,0.81318736,0.0006052654,0.000010386336,0.00005739079,0.047817152,0.00011063756,0.0005589153,0.02431629,0.000013987176,0.113208905],"study_design_scores_gemma":[0.00019670308,0.000014840751,0.97916496,0.00014503165,0.000029886845,4.0391207e-8,0.0012825459,0.000051022515,0.00022271581,0.011561361,0.0071671424,0.00016374502],"about_ca_topic_score_codex":0.002597786,"about_ca_topic_score_gemma":0.1378183,"teacher_disagreement_score":0.1659776,"about_ca_system_score_codex":0.00005458821,"about_ca_system_score_gemma":0.00009970123,"threshold_uncertainty_score":0.87791425},"labels":[],"label_agreement":null},{"id":"W4390838792","doi":"10.1177/03611981231222238","title":"Modeling Telecommuting and Teleshopping Preferences in the Post-Pandemic Era","year":2024,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Telecommuting; Pandemic; Endogeneity; Ordered probit; Business; Probit; Coronavirus disease 2019 (COVID-19); Marketing; Demographic economics; Economics; Econometrics; Engineering; Medicine","score_opus":0.14695805944455928,"score_gpt":0.4351973351603561,"score_spread":0.28823927571579677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390838792","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98800826,0.001653579,0.00051469146,0.0079865465,0.00034302103,0.00088971265,0.00002124094,0.00003759982,0.00054535194],"genre_scores_gemma":[0.99650186,0.0026512025,0.00028977392,0.000071396295,0.00025928792,0.00004734692,0.000008941293,0.000024752151,0.00014546355],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9922154,0.0021451546,0.0011613303,0.00040686066,0.003194506,0.00087677554],"domain_scores_gemma":[0.995878,0.0019931116,0.0001356447,0.00029207292,0.0014863285,0.00021486009],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.01441899,0.00018673057,0.0003157068,0.0009072495,0.0012844057,0.0007300922,0.0015831294,0.00018707548,0.000167259],"category_scores_gemma":[0.00031253352,0.000118112745,0.00024161625,0.0027427047,0.00090330344,0.0014846933,0.000008004305,0.00341814,0.0000047530093],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031222228,0.0001111941,0.9186529,0.0003368303,0.000060087055,0.0001059284,0.05145574,0.0011470981,0.00038192407,0.003819938,0.00033163762,0.023284517],"study_design_scores_gemma":[0.00045951686,0.00015025068,0.95515656,0.0008801156,0.00004099994,3.6243344e-7,0.024879219,0.0016326453,0.000031972682,0.0131002,0.0034936112,0.00017451606],"about_ca_topic_score_codex":0.06718348,"about_ca_topic_score_gemma":0.47963396,"teacher_disagreement_score":0.4124505,"about_ca_system_score_codex":0.00020101517,"about_ca_system_score_gemma":0.001430116,"threshold_uncertainty_score":0.99888104},"labels":[],"label_agreement":null},{"id":"W4390848395","doi":"10.1016/j.tra.2024.103953","title":"Framing active school travel in Ontario, or how spinach is good for you","year":2024,"lang":"en","type":"article","venue":"Transportation Research Part A Policy and Practice","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal; University of Alberta","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Framing (construction); Status quo; Public relations; Political science; Sociology; Engineering","score_opus":0.19024429273595425,"score_gpt":0.4914383269183368,"score_spread":0.30119403418238255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390848395","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8288805,0.0009819649,0.0015499695,0.11943931,0.00032221893,0.0031642981,0.0004398646,0.00014865675,0.045073234],"genre_scores_gemma":[0.97831947,0.00043098527,0.00058363896,0.00037880376,0.00036647037,0.00023326669,0.00005623847,0.00001757714,0.01961358],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977231,0.0003350655,0.00025799673,0.00046261822,0.00063165755,0.0005895799],"domain_scores_gemma":[0.9968273,0.0024808946,0.000052380154,0.00013802876,0.00024555242,0.00025585594],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033171938,0.0001290884,0.00018153677,0.0003140419,0.00055479736,0.00039439957,0.00017133878,0.00017554796,0.00061776116],"category_scores_gemma":[0.0015561982,0.000115416864,0.000067939065,0.0009826474,0.00028045077,0.0021047436,0.0000034346228,0.00074316585,0.000013273943],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.007200381,0.00095244095,0.16446446,0.0014464265,0.00035202477,0.0003660315,0.55852604,0.000007968495,0.0005712398,0.2108855,0.0087369215,0.04649059],"study_design_scores_gemma":[0.0005084256,0.00015296377,0.23355421,0.00013113911,0.00004156866,5.507607e-7,0.02074715,0.000031574353,0.000172699,0.0041088606,0.74037933,0.0001715436],"about_ca_topic_score_codex":0.41411597,"about_ca_topic_score_gemma":0.7978677,"teacher_disagreement_score":0.73164237,"about_ca_system_score_codex":0.0002872556,"about_ca_system_score_gemma":0.0031246804,"threshold_uncertainty_score":0.67640513},"labels":[],"label_agreement":null},{"id":"W4390870864","doi":"10.1016/j.apgeog.2024.103199","title":"Dynamic equity in urban amenities distribution: An accessibility-driven assessment","year":2024,"lang":"en","type":"article","venue":"Applied Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Equity (law); Conceptualization; Geography; Distribution (mathematics); Universal design; Population; Business; Economic growth; Sociology; Economics; Political science; Computer science; Demography; Mathematics","score_opus":0.021428320160198997,"score_gpt":0.36513613704363806,"score_spread":0.34370781688343904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390870864","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9528042,0.00038153562,0.0013603459,0.0003885068,0.00037833644,0.0005464725,0.0001526941,0.00043959924,0.043548312],"genre_scores_gemma":[0.9988328,0.00004739497,0.00031226643,0.00008799173,0.0001225172,0.00012975496,0.00039233797,0.000013298836,0.000061590246],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978084,0.000104946936,0.00036759255,0.00063619326,0.00054555177,0.0005373314],"domain_scores_gemma":[0.99927944,0.00009312081,0.000052178257,0.00035891292,0.000044402295,0.00017192391],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087587145,0.00019277033,0.00023902711,0.00017465715,0.0004092535,0.00049696595,0.0005468663,0.00015209403,0.0004531899],"category_scores_gemma":[0.000006350419,0.0001849278,0.00015330213,0.0012267715,0.00063131866,0.00065070385,0.00008114739,0.00035988964,0.000015921403],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021744232,0.0002972077,0.90933746,0.00010295393,0.00003443522,0.000017429742,0.0031572133,0.000009875664,0.00008060361,0.065095745,0.00024078386,0.021604534],"study_design_scores_gemma":[0.00020072138,0.00003281497,0.9353493,0.000039423103,0.000037356174,8.8445475e-8,0.003150887,0.0003471548,0.000019034089,0.046164785,0.014339336,0.0003190927],"about_ca_topic_score_codex":0.0021216753,"about_ca_topic_score_gemma":0.014923627,"teacher_disagreement_score":0.046028648,"about_ca_system_score_codex":0.00025588943,"about_ca_system_score_gemma":0.0002992433,"threshold_uncertainty_score":0.8327734},"labels":[],"label_agreement":null},{"id":"W4390903173","doi":"10.1038/s41598-024-51754-9","title":"Analyzing housing supply location choice: a comparative study of the modelling frameworks","year":2024,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Microsimulation; Multinomial logistic regression; Mixed logit; Computer science; Econometrics; Discrete choice; Preference; Distribution (mathematics); Goodness of fit; Subdivision; Population; Estimation; Operations research; Transport engineering; Logistic regression; Economics; Microeconomics; Engineering; Mathematics; Machine learning; Civil engineering","score_opus":0.05021722297722056,"score_gpt":0.35061606221505837,"score_spread":0.30039883923783783,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390903173","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98659855,0.0005125379,0.0064764363,0.000117552576,0.0047876793,0.00048851303,9.141936e-7,0.00006629617,0.0009514903],"genre_scores_gemma":[0.99907357,0.0000011290837,0.00011111552,0.0000035800513,0.0001123673,0.00000898306,0.0000044110384,0.000005582435,0.0006792636],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980513,0.00012509996,0.00044589816,0.0005199279,0.000652006,0.00020580718],"domain_scores_gemma":[0.9989355,0.00008991629,0.0001867504,0.00048632544,0.0002487196,0.000052787353],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022278354,0.00008413055,0.00015452363,0.0001031782,0.0009854791,0.00055581226,0.00021236327,0.00008400715,0.00006907174],"category_scores_gemma":[0.00006920024,0.000060271017,0.00008260655,0.0019672127,0.00044823243,0.00041354605,0.000031836444,0.0002830587,0.0000021974402],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000033784927,0.00027523615,0.8512738,0.00005155164,0.000043075524,0.000028015693,0.10867194,0.0375234,0.00022958001,0.00025974755,0.00068558136,0.00095470296],"study_design_scores_gemma":[0.0005941852,0.00016442437,0.40528592,0.003192273,0.0010728011,0.000007524605,0.18355502,0.23665895,0.0073987013,0.12560959,0.03467318,0.0017874313],"about_ca_topic_score_codex":0.0033346699,"about_ca_topic_score_gemma":0.0076746033,"teacher_disagreement_score":0.44598785,"about_ca_system_score_codex":0.000073971685,"about_ca_system_score_gemma":0.00036024037,"threshold_uncertainty_score":0.7579608},"labels":[],"label_agreement":null},{"id":"W4390967850","doi":"10.2139/ssrn.4687610","title":"Exploring the Geographical Equity-Efficiency Tradeoff in Cycling Infrastructure Planning","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Cycling; Prioritization; Equity (law); Destinations; Business; Environmental economics; Green infrastructure; Transport engineering; Environmental planning; Geography; Economics; Engineering","score_opus":0.04987492493006397,"score_gpt":0.33572306608499997,"score_spread":0.285848141154936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390967850","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9852163,0.006717881,0.0023524005,0.002253545,0.00073983637,0.00011492689,8.487609e-7,0.00008045083,0.0025237645],"genre_scores_gemma":[0.99703443,0.002017725,0.00001715531,0.000043149026,0.00077971554,0.000007408968,9.3774366e-7,0.000012774558,0.000086704444],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9966332,0.00016643065,0.0003262525,0.00024531112,0.0005064051,0.0021224562],"domain_scores_gemma":[0.99956715,0.00016558323,0.00005067123,0.00010695362,0.00002291286,0.000086752494],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0049882294,0.00012782641,0.00014250843,0.00019198899,0.00083209376,0.0003434767,0.00057812897,0.000076333075,0.000036988513],"category_scores_gemma":[0.00008775643,0.00008775274,0.0001506581,0.0009688986,0.00021425355,0.00071850984,0.00003259382,0.003708354,0.0000041171056],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005257102,0.00008736856,0.3464618,0.000035309306,0.00011166634,0.00008098326,0.046011716,0.0010265146,0.00019835206,0.37559548,0.000042236927,0.23029599],"study_design_scores_gemma":[0.00037719193,0.00011888682,0.2194521,0.00026851415,0.00006409559,0.000049402333,0.0477916,0.0008350514,0.000033299544,0.7228905,0.0077013914,0.00041798071],"about_ca_topic_score_codex":0.00042090958,"about_ca_topic_score_gemma":0.003765533,"teacher_disagreement_score":0.34729502,"about_ca_system_score_codex":0.000562656,"about_ca_system_score_gemma":0.0019308918,"threshold_uncertainty_score":0.9985901},"labels":[],"label_agreement":null},{"id":"W4390984743","doi":"10.1080/14733285.2024.2302108","title":"‘There’s not a lot of places for them to go’: rural and remote family perspectives on children’s independent mobility","year":2024,"lang":"en","type":"article","venue":"Children s Geographies","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Northern British Columbia","funders":"Churchill Northern Studies Centre","keywords":"Destinations; Neighbourhood (mathematics); Wildlife; Rural area; Geography; Thematic analysis; Group cohesiveness; Focus group; Psychology; Sociology; Public relations; Qualitative research; Business; Social psychology; Medicine; Ecology; Marketing; Political science; Tourism","score_opus":0.0150223502400027,"score_gpt":0.27883050071496185,"score_spread":0.26380815047495915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390984743","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99195594,0.004245106,0.00009152598,0.0006807292,0.00016880379,0.0011467625,0.00036250928,0.00017429945,0.0011743208],"genre_scores_gemma":[0.9985732,0.000612374,0.0002375528,0.00007521103,0.0002176013,0.000024814062,0.000021100777,0.000019814668,0.00021834603],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982757,0.00007723798,0.00029576253,0.0005742202,0.00040894706,0.0003681504],"domain_scores_gemma":[0.99919975,0.00019711783,0.00006715587,0.00028911073,0.00010032637,0.00014651922],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000662998,0.00022700692,0.0003166381,0.00026083022,0.0003728454,0.00016795953,0.00034133578,0.00012977533,0.000058271216],"category_scores_gemma":[0.00007773257,0.00018611964,0.00024994832,0.00063900906,0.0008190496,0.00023300461,0.000048054248,0.00018355889,0.000007485909],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032989887,0.00026556387,0.9250862,0.0000649592,0.00029400171,0.0000011370157,0.04375678,0.000006767014,0.00012645047,0.007526424,0.0005741715,0.021967629],"study_design_scores_gemma":[0.00027682172,0.00016387051,0.98575735,0.000118695745,0.000064760134,6.089835e-7,0.008706675,0.000004712175,0.00045552143,0.0039806417,0.00023795168,0.00023240344],"about_ca_topic_score_codex":0.0050584087,"about_ca_topic_score_gemma":0.0023916394,"teacher_disagreement_score":0.060671117,"about_ca_system_score_codex":0.000035207977,"about_ca_system_score_gemma":0.00006816132,"threshold_uncertainty_score":0.7646834},"labels":[],"label_agreement":null},{"id":"W4390986754","doi":"10.32866/001c.91270","title":"Equity in Resilience Hub Design and Transportation through Community Discussions","year":2024,"lang":"en","type":"article","venue":"Findings","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"University of Alberta; Alberta Ecotrust Foundation","keywords":"Thematic analysis; Equity (law); Community resilience; Resilience (materials science); Focus group; Public transport; Transport engineering; Psychological resilience; Public relations; Environmental planning; Geography; Business; Sociology; Psychology; Political science; Engineering; Qualitative research; Marketing; Social psychology","score_opus":0.0849199729045641,"score_gpt":0.39403096417903044,"score_spread":0.30911099127446634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390986754","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9889743,0.00021718889,0.0044532684,0.0011930829,0.00012928752,0.00020763175,0.000013747349,0.00009325521,0.0047182525],"genre_scores_gemma":[0.9986659,0.00006336978,0.00070584647,0.000042637,0.000024824543,0.000011879062,0.000010811824,0.000004987515,0.00046970882],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990968,0.00017879685,0.00015923358,0.00016580433,0.00018690868,0.00021243015],"domain_scores_gemma":[0.999592,0.00022592177,0.000015562166,0.00009994803,0.000012865835,0.000053712385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012319855,0.000068254696,0.00009389999,0.000043058717,0.0005322297,0.000109270644,0.000190685,0.00007476886,0.00011680731],"category_scores_gemma":[0.00006006641,0.00005565827,0.000028947772,0.00042926916,0.00028239886,0.00067510654,0.000011767008,0.00029803388,0.0000073399174],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043484994,0.00017276857,0.5688153,0.0002022869,0.000010043588,0.000035763725,0.3624531,0.000034287088,0.0012188099,0.054335844,0.001397885,0.0112804435],"study_design_scores_gemma":[0.00011826085,0.000027995808,0.93278867,0.00019549794,0.000015153464,1.04644506e-7,0.006086699,0.00007451135,0.00037468108,0.055568777,0.00460134,0.00014827936],"about_ca_topic_score_codex":0.006903638,"about_ca_topic_score_gemma":0.015099317,"teacher_disagreement_score":0.3639734,"about_ca_system_score_codex":0.00006590931,"about_ca_system_score_gemma":0.0000919002,"threshold_uncertainty_score":0.9997095},"labels":[],"label_agreement":null},{"id":"W4390986833","doi":"10.32866/001c.92109","title":"A Street-Specific Analysis of Level of Traffic Stress Trends in Strava Bicycle Ridership and its Implications for Low-Stress Bicycling Routes in Toronto","year":2024,"lang":"en","type":"article","venue":"Findings","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"University of Toronto","keywords":"Transport engineering; Stress (linguistics); Geography; Engineering","score_opus":0.11152443900626245,"score_gpt":0.377234907836296,"score_spread":0.2657104688300335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390986833","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961296,0.0016984583,0.0000413609,0.00021488559,0.000049682745,0.00017548316,0.0013393178,0.000022039034,0.00032920958],"genre_scores_gemma":[0.99949783,0.00009802247,0.00006126553,0.0000021234587,0.00003311674,0.000023463948,0.00010129055,0.000008405844,0.0001744719],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987724,0.000034874993,0.00045323436,0.00033626534,0.00015117408,0.00025206807],"domain_scores_gemma":[0.9994128,0.0002706551,0.00008303122,0.00012719765,0.000048156362,0.000058196314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044432952,0.000106368454,0.000322621,0.0004982716,0.00007036058,0.000050669816,0.00021141779,0.00010522104,0.00013309208],"category_scores_gemma":[0.00003616987,0.00010726829,0.00013563051,0.0015596175,0.000107494605,0.0003630218,0.000012498246,0.00007946373,1.4829845e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022230868,0.00017472457,0.96638167,0.00017199719,0.00009743137,7.781457e-7,0.018001618,0.00033344314,0.0007164996,0.0030859383,0.000027772468,0.010985923],"study_design_scores_gemma":[0.00019458868,0.000020675927,0.9914472,0.00014818936,0.00010238362,8.480421e-9,0.0058985725,0.0010671896,0.0008453093,0.00012423449,0.00004026407,0.00011138264],"about_ca_topic_score_codex":0.008215668,"about_ca_topic_score_gemma":0.4236187,"teacher_disagreement_score":0.41540304,"about_ca_system_score_codex":0.00013470111,"about_ca_system_score_gemma":0.000057531255,"threshold_uncertainty_score":0.9983887},"labels":[],"label_agreement":null},{"id":"W4391069272","doi":"10.1016/j.trpro.2023.12.034","title":"Multi-frame sampling in household travel surveys: a Montreal case study","year":2024,"lang":"en","type":"article","venue":"Transportation research procedia","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal","funders":"Ministère des Transports","keywords":"Sampling frame; Weighting; Sampling (signal processing); Frame (networking); Sample (material); Survey methodology; Survey data collection; Sampling design; Survey sampling; Computer science; Geography; Statistics; Operations research; Engineering; Telecommunications; Mathematics; Sociology; Demography; Population","score_opus":0.27776752960915657,"score_gpt":0.4753069764584489,"score_spread":0.1975394468492923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391069272","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99571276,0.0003547406,0.0013677225,0.00018680377,0.00013969552,0.0015580392,0.000099723526,0.00031799608,0.0002625096],"genre_scores_gemma":[0.9986439,0.000046588455,0.00037094273,0.000009564221,0.00014028262,0.0002493581,0.000036237365,0.000039714385,0.00046341206],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9966327,0.0005411008,0.00049353286,0.0006298189,0.0010138853,0.0006889592],"domain_scores_gemma":[0.99888813,0.000431355,0.00002910453,0.00019013803,0.0002254203,0.00023586245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0074626524,0.00015425362,0.00022200365,0.00044335,0.00042162422,0.0002480285,0.00028273425,0.00015052735,0.00009820643],"category_scores_gemma":[0.00014108741,0.0001488127,0.00007791768,0.0018635283,0.00028473983,0.0006204878,0.000004002678,0.00078007416,0.00002050463],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002545348,0.0007805054,0.830353,0.00019221554,0.000024093011,0.004286918,0.1578714,0.000058035315,0.000096883254,0.000242152,0.00005039249,0.0060189134],"study_design_scores_gemma":[0.0005621248,0.0000675638,0.93546885,0.000065614586,0.000014280569,0.0000016278068,0.062959164,0.00025799873,0.000014750734,0.0003134991,0.000111728354,0.00016278698],"about_ca_topic_score_codex":0.21627761,"about_ca_topic_score_gemma":0.7992536,"teacher_disagreement_score":0.582976,"about_ca_system_score_codex":0.00014316983,"about_ca_system_score_gemma":0.0006859947,"threshold_uncertainty_score":0.78894126},"labels":[],"label_agreement":null},{"id":"W4391103897","doi":"10.1080/21680566.2024.2303042","title":"A framework for transportation and land use integration as a parallel constrained multiple discrete-continuous extreme value (PC-MDCEV) home production model","year":2024,"lang":"en","type":"article","venue":"Transportmetrica B Transport Dynamics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Production (economics); Discrete choice; Consumption (sociology); Computer science; Empirical research; Function (biology); Land use; Scale (ratio); Value (mathematics); Extreme value theory; Subdivision; Econometrics; Economics; Microeconomics; Operations research; Mathematics; Engineering","score_opus":0.03788527699173939,"score_gpt":0.30139893950117747,"score_spread":0.2635136625094381,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391103897","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5110351,0.00044901925,0.48334745,0.0008703185,0.0004828181,0.0016490524,0.0015038969,0.0005259569,0.00013642044],"genre_scores_gemma":[0.9574703,0.0007975132,0.03694301,0.0000744846,0.00024319514,0.00029105615,0.0031747133,0.00010976992,0.00089597586],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.995767,0.00007449966,0.0011267782,0.0013618191,0.0008147878,0.00085510564],"domain_scores_gemma":[0.9981929,0.00054403156,0.00019882004,0.00041630358,0.00025931816,0.00038863448],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009619843,0.00059771875,0.0007577975,0.0007548027,0.0006387315,0.00026850254,0.0003395978,0.00062552013,0.000048477457],"category_scores_gemma":[0.00017549102,0.0005786802,0.0005042794,0.0022423973,0.00068164384,0.0017686364,0.000002162611,0.0006300667,0.0000033109588],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018071351,0.000723201,0.67200845,0.0010882764,0.0004154836,0.00016712915,0.027454749,0.007188173,0.00027854744,0.26047373,0.00003782425,0.028357284],"study_design_scores_gemma":[0.0035908823,0.000623164,0.5669498,0.0012227678,0.0026917777,0.000009553827,0.0036611957,0.27151144,0.000157684,0.1432726,0.0031898406,0.0031193153],"about_ca_topic_score_codex":0.003190101,"about_ca_topic_score_gemma":0.030343384,"teacher_disagreement_score":0.4464352,"about_ca_system_score_codex":0.00024314974,"about_ca_system_score_gemma":0.00052487606,"threshold_uncertainty_score":0.99966645},"labels":[],"label_agreement":null},{"id":"W4391159219","doi":"","title":"Fostering the mobility of older adults","year":2022,"lang":"fr","type":"book-chapter","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Gerontology; Psychology; Medicine","score_opus":0.026321862727125625,"score_gpt":0.2523567826708656,"score_spread":0.22603491994373998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391159219","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20078953,0.0028094682,0.0022708867,0.010876491,0.0005735673,0.0010572639,0.00021075235,0.00011329082,0.78129876],"genre_scores_gemma":[0.9177881,0.00073449203,0.0011372684,0.00007717673,0.000041227664,0.00004733381,0.00014473237,0.0000415724,0.0799881],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99293375,0.0040325085,0.0009011836,0.00082469155,0.00087675307,0.00043110354],"domain_scores_gemma":[0.9930877,0.0023481231,0.0008722572,0.0020607372,0.0014537612,0.00017739725],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008952395,0.0003701292,0.0004943851,0.00008453866,0.0013532332,0.00012072442,0.0020120023,0.000270907,0.009547451],"category_scores_gemma":[0.000520376,0.000337895,0.0004738729,0.00034341752,0.0022434555,0.00030698293,0.0011490663,0.0007482475,0.000037060236],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003705842,0.0007321046,0.013615449,0.00031856349,0.000100852754,0.0000042362685,0.048504017,0.000007174848,0.000106737505,0.76825935,0.000097569966,0.16821687],"study_design_scores_gemma":[0.002625937,0.000004729043,0.22790763,0.008641544,0.0006648728,0.000008145143,0.0057654562,0.0021423995,0.009745966,0.06603436,0.67391664,0.002542323],"about_ca_topic_score_codex":0.011240174,"about_ca_topic_score_gemma":0.014047739,"teacher_disagreement_score":0.7169986,"about_ca_system_score_codex":0.0001958809,"about_ca_system_score_gemma":0.0003030195,"threshold_uncertainty_score":0.9999469},"labels":[],"label_agreement":null},{"id":"W4391163004","doi":"10.21203/rs.3.rs-3858493/v1","title":"Applying the multiphase optimization strategy to evaluate the feasibility and effectiveness of an online road safety education intervention for children: A pilot study","year":2024,"lang":"en","type":"preprint","venue":"Research Square","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; Western University","funders":"Canadian Institutes of Health Research","keywords":"Intervention (counseling); Transport engineering; Computer science; Psychology; Engineering; Medicine; Nursing","score_opus":0.1834647867471784,"score_gpt":0.5100057061430651,"score_spread":0.3265409193958867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391163004","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9694929,0.0008273469,0.0015908986,0.0001968393,0.00020188662,0.027258787,0.00034033164,0.000039831837,0.000051151463],"genre_scores_gemma":[0.99475855,0.000038447255,0.00016772091,0.000004364345,0.00023834365,0.0043737697,0.0003649377,0.000020032543,0.00003382475],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9931123,0.004478543,0.00044357564,0.0007309254,0.0009293353,0.00030532252],"domain_scores_gemma":[0.9973389,0.00068767765,0.00009842171,0.0006396573,0.0011138862,0.000121469726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02005262,0.0001764279,0.00027183647,0.00015937697,0.0008628895,0.00034303658,0.0006212065,0.000096802236,0.000026707916],"category_scores_gemma":[0.0009265291,0.0001106964,0.000116965246,0.0005668541,0.00034792503,0.00015038086,0.00036446544,0.00070420274,8.492803e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008500025,0.024008984,0.3578346,0.0076150834,0.00048981817,0.0000016293297,0.028704641,0.07429871,0.00026293754,0.0011149384,0.000037388378,0.49713126],"study_design_scores_gemma":[0.00088224735,0.0027413308,0.96281374,0.0008681384,0.00011923643,1.108626e-7,0.017608315,0.0081795575,0.000038512077,0.0065776506,0.000008545314,0.00016261639],"about_ca_topic_score_codex":0.023376869,"about_ca_topic_score_gemma":0.021620104,"teacher_disagreement_score":0.60497916,"about_ca_system_score_codex":0.00035834222,"about_ca_system_score_gemma":0.0010068471,"threshold_uncertainty_score":0.9962328},"labels":[],"label_agreement":null},{"id":"W4391226352","doi":"10.1186/s12942-024-00361-y","title":"The built environment, purpose-specific walking behaviour and overweight: evidence from Wuhan metropolis in central China","year":2024,"lang":"en","type":"article","venue":"International Journal of Health Geographics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Fundamental Research Funds for the Central Universities; Chinese University of Hong Kong; Trường Đại học Kinh tế - Luật, Đại học Quốc gia Thành phố Hồ Chí Minh; National Natural Science Foundation of China; Zhongnan University of Economics and Law","keywords":"Overweight; China; Health geography; Health informatics; Human geography; Built environment; Public health; Geography; Environmental health; Regional science; Medicine; Economic geography; Engineering; Obesity; Health promotion; Civil engineering; International health","score_opus":0.03224768447380148,"score_gpt":0.34447565364455474,"score_spread":0.31222796917075324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391226352","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9163135,0.06617219,0.0006781465,0.014713513,0.0019176694,0.0001145742,0.0000233792,0.000011551127,0.000055437056],"genre_scores_gemma":[0.9460869,0.053032637,0.00019321426,0.000097240794,0.0005547631,0.0000019330125,0.0000032416865,0.0000073136707,0.000022790759],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977167,0.00024204423,0.0006431582,0.00018717404,0.0009002121,0.0003106825],"domain_scores_gemma":[0.999063,0.0003523128,0.00027118353,0.00009544145,0.000066894914,0.00015115502],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021496352,0.000099846184,0.00016445492,0.00023876334,0.0003288761,0.0003610558,0.0005450931,0.00006306171,0.00009393186],"category_scores_gemma":[0.000072223076,0.0000728891,0.00012677,0.00023327561,0.00031492577,0.00059568137,0.000038032565,0.00048146496,0.0000015058092],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003317739,0.000047431124,0.94995004,0.0000074571444,0.000036744674,0.000055723423,0.005244759,0.0000043790446,0.000010216104,0.0020619635,0.00014019902,0.04240791],"study_design_scores_gemma":[0.00013216614,0.00003775754,0.9683794,0.00033790705,0.0000105165955,0.000003215403,0.0008505387,0.000039416416,0.000009249475,0.008120166,0.022008875,0.00007079504],"about_ca_topic_score_codex":0.01226959,"about_ca_topic_score_gemma":0.007681589,"teacher_disagreement_score":0.042337116,"about_ca_system_score_codex":0.00027409242,"about_ca_system_score_gemma":0.00025835697,"threshold_uncertainty_score":0.9943078},"labels":[],"label_agreement":null},{"id":"W4391430417","doi":"10.1080/23748834.2024.2304926","title":"Acceptability of built environment interventions to improve healthy eating and physical activity among city dwellers in Saskatchewan, Canada: THEPA findings from a local context","year":2024,"lang":"en","type":"article","venue":"Cities & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; Saskatchewan Health; University of Saskatchewan","funders":"Canadian Institutes of Health Research","keywords":"Psychological intervention; Context (archaeology); Physical activity; Gerontology; Environmental health; Healthy eating; Built environment; Psychology; Medicine; Geography; Physical therapy; Engineering; Psychiatry; Civil engineering","score_opus":0.026764522330943136,"score_gpt":0.3149705787499477,"score_spread":0.2882060564190046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391430417","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99478036,0.00046657264,0.0007763369,0.002694757,0.00021709329,0.00058771926,0.0002947114,0.000030076588,0.000152357],"genre_scores_gemma":[0.9994904,0.000021098993,0.000057041838,0.00018294065,0.000075645716,0.000036298436,0.000008475702,0.000008920393,0.000119225755],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982296,0.00022792481,0.0003698831,0.00044548308,0.00031767722,0.00040942503],"domain_scores_gemma":[0.9991,0.00033074417,0.00009165399,0.00018391428,0.000016676377,0.00027699547],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080211554,0.0001381104,0.00038416166,0.000051425355,0.00027265138,0.000043545657,0.00016477135,0.00006264796,0.00023176488],"category_scores_gemma":[0.00004109921,0.00013591778,0.000103258324,0.0001846434,0.0005821575,0.0002538338,0.00006568317,0.00030270076,8.223693e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057550616,0.00016726667,0.7625084,0.0005195143,0.00001601085,0.0000022399024,0.080020234,0.000008435148,0.0000182368,0.00011798938,0.0001500218,0.15641414],"study_design_scores_gemma":[0.00014797189,0.00009430709,0.92217153,0.00015017527,0.000008206008,2.0929624e-8,0.07602185,0.00020213297,0.0001292051,0.0007291652,0.0002329214,0.00011250115],"about_ca_topic_score_codex":0.9846182,"about_ca_topic_score_gemma":0.9959745,"teacher_disagreement_score":0.15966317,"about_ca_system_score_codex":0.0012290233,"about_ca_system_score_gemma":0.0017210259,"threshold_uncertainty_score":0.5542567},"labels":[],"label_agreement":null},{"id":"W4391471263","doi":"10.1016/j.jclepro.2024.141083","title":"Energy, climate, and environmental sustainability of trend toward occupational-dependent hybrid work: Overview, research challenges, and outlook","year":2024,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Sustainability; Work (physics); Geospatial analysis; Scope (computer science); Popularity; Environmental resource management; Environmental economics; Business; Environmental planning; Computer science; Engineering; Economics; Political science; Geography; Ecology","score_opus":0.07844726373976287,"score_gpt":0.3614098520460351,"score_spread":0.28296258830627224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391471263","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96402794,0.031719625,0.000014582692,0.0033972994,0.00034605918,0.00011457023,0.0000099788185,0.000009861905,0.00036008484],"genre_scores_gemma":[0.977584,0.021386065,0.000029444043,0.0000051259312,0.00054017076,0.0000023718162,0.000004467424,0.000006973689,0.0004414055],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9982059,0.0002836857,0.0003905073,0.000253369,0.0006631273,0.00020341227],"domain_scores_gemma":[0.9994463,0.0000863601,0.00013134729,0.00011020046,0.00013228132,0.00009355431],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003722953,0.00007963663,0.0001760299,0.00016831548,0.00016269821,0.000054788416,0.000094873234,0.00005333296,0.00005028718],"category_scores_gemma":[0.000111723784,0.00006582695,0.00005848999,0.00011710727,0.0004600228,0.00060434657,0.000037468264,0.0002379417,3.5966514e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00086404476,0.00071002427,0.24215896,0.0011387254,0.00014118606,0.000070068294,0.037308037,0.00005047101,0.00048351882,0.0033885336,0.0017227122,0.7119637],"study_design_scores_gemma":[0.00047824168,0.00034976032,0.8708914,0.00027824068,0.000116029405,0.000043417484,0.034997113,0.000023951025,0.0020714484,0.01932994,0.07115924,0.00026121133],"about_ca_topic_score_codex":0.00012443741,"about_ca_topic_score_gemma":0.00026327997,"teacher_disagreement_score":0.7117025,"about_ca_system_score_codex":0.00019906655,"about_ca_system_score_gemma":0.00013447765,"threshold_uncertainty_score":0.2684345},"labels":[],"label_agreement":null},{"id":"W4391471792","doi":"10.1016/j.cities.2024.104848","title":"Pathways to suburban poverty in nine Canadian metropolitan areas","year":2024,"lang":"en","type":"article","venue":"Cities","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Metropolitan area; Suburbanization; Poverty; Geography; Immigration; Census; Gentrification; Context (archaeology); Neighbourhood (mathematics); Socioeconomics; Economic growth; Demographic economics; Sociology; Population; Demography; Economics","score_opus":0.026733217061315366,"score_gpt":0.2779000451440015,"score_spread":0.25116682808268614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391471792","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79715705,0.0008031622,0.000005646967,0.002798798,0.00046232456,0.00011981461,0.0000790491,0.00009057698,0.19848357],"genre_scores_gemma":[0.99118876,0.000012028904,0.00002667613,0.0006237464,0.00021962804,0.000011753218,0.00000959427,0.000008423678,0.007899402],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990673,0.000037226313,0.00013259858,0.00020004583,0.00017890906,0.0003838878],"domain_scores_gemma":[0.99952346,0.000049586597,0.0000071159448,0.00011743872,0.000027671087,0.00027473108],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003024326,0.00007826743,0.00011221138,0.00021651878,0.00016686122,0.00013044511,0.00018841353,0.0000409588,0.0014056461],"category_scores_gemma":[0.0000753924,0.00007274008,0.00004760895,0.00050437055,0.00012290156,0.00021307258,0.000008563719,0.000101652186,0.00007260867],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000073242345,0.000017527158,0.7790716,0.000046614423,0.000013895408,0.00019738087,0.030171061,0.0000018281485,0.000028528404,0.15652007,0.03192297,0.0020011936],"study_design_scores_gemma":[0.00012926206,0.00003951981,0.5042112,0.0001378847,0.00001652863,4.938124e-7,0.04492075,0.000026887326,0.00024690013,0.03652246,0.41332328,0.00042485504],"about_ca_topic_score_codex":0.7913047,"about_ca_topic_score_gemma":0.9715476,"teacher_disagreement_score":0.38140032,"about_ca_system_score_codex":0.0007417435,"about_ca_system_score_gemma":0.0006246886,"threshold_uncertainty_score":0.9995072},"labels":[],"label_agreement":null},{"id":"W4391483556","doi":"10.1080/09687599.2023.2299344","title":"A user-led audit of the walkability and wheelability of Quebec City’s neighborhoods by mobility assistive technology users","year":2024,"lang":"en","type":"article","venue":"Disability & Society","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"GF Strong Rehabilitation Centre; International Collaboration On Repair Discoveries; University of British Columbia; Centre intégré universitaire de santé et de services sociaux de la Capitale-Nationale; Université Laval; Simon Fraser University; Centres Intégré Universitaires de Santé et de Services Sociaux; Centre for Interdisciplinary Research in Rehabilitation","funders":"","keywords":"Walkability; Assistive technology; Audit; Business; Geography; Built environment; Computer science; Engineering; Human–computer interaction; Accounting; Civil engineering","score_opus":0.009277959066557552,"score_gpt":0.2808523031425582,"score_spread":0.2715743440760007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391483556","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99048984,0.0009124984,0.00015709948,0.0055502113,0.0003659666,0.0011798415,0.00051889097,0.00021926584,0.00060638826],"genre_scores_gemma":[0.9993107,0.00005106205,0.00020115564,0.000048855552,0.0000523796,0.00006897555,0.000013374932,0.000017052036,0.00023647254],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.996019,0.00057651347,0.0009956646,0.0011262984,0.0007381666,0.0005443507],"domain_scores_gemma":[0.9968849,0.0010112335,0.00025919074,0.0013171657,0.0003545498,0.00017300539],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0036102927,0.00033298507,0.0007221517,0.000021459156,0.0004992608,0.00007498105,0.0008362299,0.0005607369,0.00036979993],"category_scores_gemma":[0.0011626261,0.00025072147,0.00083431107,0.0015960421,0.012957445,0.0005170676,0.00026640238,0.0006681309,0.0000013536161],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034169072,0.00084711076,0.9833758,0.00060682476,0.000111966605,1.2944581e-7,0.007819006,9.467703e-7,0.00084373954,0.0019206601,0.0006623255,0.0037773403],"study_design_scores_gemma":[0.00026090254,0.00004645632,0.9749747,0.00007015152,0.00013895532,1.1458378e-7,0.009396102,0.00007682726,0.00196024,0.010055011,0.0027726404,0.0002479126],"about_ca_topic_score_codex":0.044976693,"about_ca_topic_score_gemma":0.06476672,"teacher_disagreement_score":0.01979003,"about_ca_system_score_codex":0.00083007594,"about_ca_system_score_gemma":0.0008663487,"threshold_uncertainty_score":0.9999945},"labels":[],"label_agreement":null},{"id":"W4391491990","doi":"10.1016/j.trf.2023.12.015","title":"A scoping review of E-scooter safety: Delightful urban slalom or injury epidemic?","year":2024,"lang":"en","type":"review","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":47,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alberta Children's Hospital; University of Calgary","funders":"","keywords":"Transport engineering; Crash; Occupational safety and health; Poison control; Injury prevention; Aeronautics; Engineering; Forensic engineering; Computer science; Medicine; Environmental health","score_opus":0.24001920540192836,"score_gpt":0.5575026423882817,"score_spread":0.3174834369863534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391491990","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0009181453,0.9930869,0.000012840283,0.00067367335,0.0005969856,0.0033836884,0.0005770078,0.00013408675,0.0006166965],"genre_scores_gemma":[0.00045060815,0.99649554,0.00007056394,0.00015448706,0.00030492755,0.0004593283,0.000616543,0.000058912563,0.0013890684],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99336696,0.0014839327,0.002163983,0.0011748632,0.0009288048,0.00088143104],"domain_scores_gemma":[0.997757,0.0005399869,0.00041674334,0.00057581713,0.00034866942,0.00036178058],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006187482,0.00048105963,0.0021620805,0.00052314013,0.00047843644,0.000051038463,0.00071438414,0.0008892083,0.0016513063],"category_scores_gemma":[0.00014210134,0.0003558706,0.0005957402,0.0016617023,0.0013843493,0.000250195,0.0000134214615,0.0016543327,0.000084599786],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001864194,0.00040946878,0.0015874868,0.32219732,0.00021605908,0.00020203118,0.0021348977,9.712553e-8,2.9993674e-7,0.00045687312,0.027416073,0.645193],"study_design_scores_gemma":[0.00018412649,0.00013864857,0.00054517423,0.34421062,0.0012302299,0.0000017987675,0.00007838306,1.4075661e-7,2.4307076e-7,0.000043646396,0.65321153,0.00035548367],"about_ca_topic_score_codex":0.00021567765,"about_ca_topic_score_gemma":0.00457279,"teacher_disagreement_score":0.6448375,"about_ca_system_score_codex":0.00007049462,"about_ca_system_score_gemma":0.0016356482,"threshold_uncertainty_score":0.9998893},"labels":[],"label_agreement":null},{"id":"W4391538611","doi":"10.1016/j.pmedr.2024.102642","title":"Investigating social inequalities in children’s independent mobility, active transportation and outdoor free play in two Canadian cities","year":2024,"lang":"en","type":"article","venue":"Preventive Medicine Reports","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; Queen's University; Université de Montréal","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research","keywords":"Inequality; Social mobility; Geography; Environmental health; Demographic economics; Medicine; Sociology; Economics; Social science; Mathematics","score_opus":0.027210029411857274,"score_gpt":0.33266982296759123,"score_spread":0.30545979355573394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391538611","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99352884,0.0008103396,0.000016801025,0.0015634379,0.00030026963,0.00068246765,0.000054156637,0.00005258859,0.0029910868],"genre_scores_gemma":[0.9991273,0.00002829039,0.000017598297,0.000059718182,0.0002901623,0.00008106314,0.00009598906,0.000013240098,0.00028663315],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99769706,0.00024005242,0.0006956834,0.0004919861,0.0004919023,0.00038332792],"domain_scores_gemma":[0.99935263,0.00013006864,0.00014056114,0.00013038178,0.00006326315,0.00018311579],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002164945,0.00017285028,0.00033991353,0.00036773641,0.00020898282,0.0000498419,0.00011924964,0.000097947785,0.0001604082],"category_scores_gemma":[0.00036106768,0.00016173144,0.0000527641,0.0004715128,0.0006575286,0.0004955303,0.000013494816,0.00037564116,4.3197244e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004350955,0.000023096447,0.8735574,0.0000594874,0.000021543137,0.00013106807,0.122881226,0.0000021331737,0.000014375189,0.0013442399,0.000046342502,0.0019147549],"study_design_scores_gemma":[0.00030435683,0.000017806777,0.94311696,0.0003295272,0.000032912747,0.0000026244184,0.016858757,0.0000070140327,0.00005371808,0.03901852,0.000105505176,0.00015228838],"about_ca_topic_score_codex":0.7610171,"about_ca_topic_score_gemma":0.9614219,"teacher_disagreement_score":0.20040481,"about_ca_system_score_codex":0.00043030572,"about_ca_system_score_gemma":0.00079579744,"threshold_uncertainty_score":0.65952164},"labels":[],"label_agreement":null},{"id":"W4391546648","doi":"10.1007/978-3-031-34027-7_46","title":"A Study on the Mobility Pattern of Slum Dwellers in Dhaka, Bangladesh","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in civil engineering","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Slum; Geography; Socioeconomics; Medicine; Environmental health; Sociology; Population","score_opus":0.021325612160670058,"score_gpt":0.25896398517286356,"score_spread":0.2376383730121935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391546648","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.648233,0.0045810356,0.003990709,0.002410508,0.0034568019,0.005713083,0.00016789105,0.000511508,0.33093548],"genre_scores_gemma":[0.9984808,0.000021382639,0.000007947084,0.000047691203,0.00020112985,0.0000334948,0.000005183984,0.000045316643,0.0011570433],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99827904,0.00003336777,0.00044854716,0.00047598052,0.00044932612,0.00031375344],"domain_scores_gemma":[0.9987545,0.0006693505,0.000076645156,0.00042426365,0.000028632052,0.000046589448],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085527654,0.0003125722,0.00043480852,0.0002283363,0.000046711855,0.000039374943,0.00044542077,0.00033505366,0.0005151279],"category_scores_gemma":[0.00014281066,0.00024314657,0.00016142741,0.00021699599,0.00011261961,0.000050996157,0.00004809774,0.0011265633,0.000010605493],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015808632,0.001851454,0.5164194,0.0029953003,0.0008391805,0.000984062,0.29262894,0.13592945,0.00023868956,0.02127449,0.0002728048,0.026408149],"study_design_scores_gemma":[0.0060095987,0.002154716,0.5641697,0.024189109,0.0013173593,0.0000043927826,0.0092380345,0.014472386,0.002012528,0.28802067,0.0767945,0.0116169965],"about_ca_topic_score_codex":0.0015505786,"about_ca_topic_score_gemma":0.088250116,"teacher_disagreement_score":0.35024783,"about_ca_system_score_codex":0.00019942122,"about_ca_system_score_gemma":0.000078166704,"threshold_uncertainty_score":0.99152297},"labels":[],"label_agreement":null},{"id":"W4391567559","doi":"10.1080/15568318.2024.2308266","title":"Association between network characteristics and bicycle ridership across a large metropolitan region","year":2024,"lang":"en","type":"article","venue":"International Journal of Sustainable Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"National Health and Medical Research Council; Medical Research Council; UK Research and Innovation","keywords":"Metropolitan area; Association (psychology); Transport engineering; Geography; Econometrics; Environmental science; Engineering; Mathematics; Psychology","score_opus":0.017663503508200014,"score_gpt":0.3278347297850833,"score_spread":0.3101712262768833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391567559","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.986701,0.0005719999,0.007237578,0.003875788,0.00082377606,0.00013006586,0.00004364633,0.000044040295,0.00057207973],"genre_scores_gemma":[0.99546677,0.00023454895,0.00008524153,0.00005572878,0.0018753501,0.000002904062,0.00006151867,0.000013374489,0.002204544],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980226,0.00008822225,0.0005538563,0.00015525699,0.0007455729,0.00043445773],"domain_scores_gemma":[0.99827456,0.00022303803,0.0003544656,0.00005001863,0.0009782003,0.0001197324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002064821,0.00010359586,0.00019572172,0.00014233294,0.0002841876,0.00035694637,0.00022161462,0.0001289754,0.00006803462],"category_scores_gemma":[0.00016860732,0.00010141747,0.0001261601,0.00031804587,0.00007252585,0.0013193939,0.0000051754528,0.00026343556,0.0000020800658],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006111593,0.000033010692,0.96032625,0.000051929,0.00024833682,0.00025776203,0.009434258,0.000006707806,0.0000062789595,0.026948847,0.0006518067,0.0019736672],"study_design_scores_gemma":[0.00034904832,0.00004763206,0.92217577,0.000110755005,0.00014196221,8.620756e-7,0.018298851,0.000017523824,0.000029042854,0.015504975,0.043200187,0.00012340349],"about_ca_topic_score_codex":0.0008906011,"about_ca_topic_score_gemma":0.00097209006,"teacher_disagreement_score":0.04254838,"about_ca_system_score_codex":0.0008952302,"about_ca_system_score_gemma":0.0002451017,"threshold_uncertainty_score":0.41356844},"labels":[],"label_agreement":null},{"id":"W4391593299","doi":"10.32920/25169627.v1","title":"Assessing the Opportunities for Transit Oriented Development around the LRT Systems of Calgary and Edmonton","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"","keywords":"Urban sprawl; Downtown; Transit-oriented development; Smart growth; Geography; Demographics; Transport engineering; Typology; Megacity; Urban planning; Growth management; Suburbanization; Regional science; Public transport; Land use; Environmental planning; Metropolitan area; Engineering; Civil engineering; Economy; Demography; Economics","score_opus":0.12976922233143656,"score_gpt":0.35287661265384207,"score_spread":0.2231073903224055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391593299","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94159627,0.0050578215,0.009706548,0.0031759483,0.0018451688,0.0020699978,0.00003095664,0.00011445158,0.036402844],"genre_scores_gemma":[0.99379885,0.00009511551,0.00030948987,0.000052552678,0.0002188439,0.00017305963,0.00003173383,0.0000138771975,0.005306497],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99840355,0.00014988007,0.0004798332,0.00032583234,0.0004091664,0.00023176178],"domain_scores_gemma":[0.99906653,0.00029956008,0.00015631662,0.00024963135,0.00016597987,0.00006198763],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021892027,0.00018084192,0.0002944086,0.000041029758,0.0006470882,0.0005485214,0.00037688817,0.00018734888,0.00002068095],"category_scores_gemma":[0.00002579845,0.00009351519,0.000113405404,0.00009357197,0.0005494291,0.00012680533,0.00011289998,0.00031093325,3.6398936e-7],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001689448,0.000513035,0.0929159,0.015918257,0.0022673216,0.00005784749,0.3804354,0.00012988504,0.00019406987,0.32879856,0.006000156,0.17260061],"study_design_scores_gemma":[0.0006581781,0.00005891878,0.08798773,0.0027838645,0.0012693561,0.0000026236542,0.5002086,0.0040742857,0.0005322806,0.025179345,0.37582707,0.0014177054],"about_ca_topic_score_codex":0.008060631,"about_ca_topic_score_gemma":0.009440305,"teacher_disagreement_score":0.3698269,"about_ca_system_score_codex":0.00008397525,"about_ca_system_score_gemma":0.001171026,"threshold_uncertainty_score":0.99854475},"labels":[],"label_agreement":null},{"id":"W4391593327","doi":"10.32920/25169627","title":"Assessing the Opportunities for Transit Oriented Development around the LRT Systems of Calgary and Edmonton","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"","keywords":"Urban sprawl; Downtown; Transit-oriented development; Geography; Smart growth; Demographics; Megacity; Typology; Transport engineering; Urban planning; Growth management; Regional science; Land use; Traffic congestion; Environmental planning; Public transport; Engineering; Civil engineering; Economy; Demography; Economics","score_opus":0.12976922233143656,"score_gpt":0.35287661265384207,"score_spread":0.2231073903224055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391593327","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94159627,0.0050578215,0.009706548,0.0031759483,0.0018451688,0.0020699978,0.00003095664,0.00011445158,0.036402844],"genre_scores_gemma":[0.99379885,0.00009511551,0.00030948987,0.000052552678,0.0002188439,0.00017305963,0.00003173383,0.0000138771975,0.005306497],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99840355,0.00014988007,0.0004798332,0.00032583234,0.0004091664,0.00023176178],"domain_scores_gemma":[0.99906653,0.00029956008,0.00015631662,0.00024963135,0.00016597987,0.00006198763],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021892027,0.00018084192,0.0002944086,0.000041029758,0.0006470882,0.0005485214,0.00037688817,0.00018734888,0.00002068095],"category_scores_gemma":[0.00002579845,0.00009351519,0.000113405404,0.00009357197,0.0005494291,0.00012680533,0.00011289998,0.00031093325,3.6398936e-7],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001689448,0.000513035,0.0929159,0.015918257,0.0022673216,0.00005784749,0.3804354,0.00012988504,0.00019406987,0.32879856,0.006000156,0.17260061],"study_design_scores_gemma":[0.0006581781,0.00005891878,0.08798773,0.0027838645,0.0012693561,0.0000026236542,0.5002086,0.0040742857,0.0005322806,0.025179345,0.37582707,0.0014177054],"about_ca_topic_score_codex":0.008060631,"about_ca_topic_score_gemma":0.009440305,"teacher_disagreement_score":0.3698269,"about_ca_system_score_codex":0.00008397525,"about_ca_system_score_gemma":0.001171026,"threshold_uncertainty_score":0.99854475},"labels":[],"label_agreement":null},{"id":"W4391593329","doi":"10.32920/25169633.v1","title":"Spatial Contextualization of Economic Development Strategies in Kitchener-Waterloo and Oshawa","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Prosperity; Contextualization; Economic base analysis; Sustainability; Work (physics); Competitive advantage; Local economic development; Urban planning; Strategic planning; Economic geography; Environmental planning; Regional science; Economic growth; Geography; Business; Economics; Engineering; Civil engineering; Computer science; Marketing","score_opus":0.029201586088640562,"score_gpt":0.3103783529187994,"score_spread":0.28117676683015885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391593329","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97665364,0.00033326502,0.00078283483,0.00018113285,0.0004062471,0.00028041712,0.000013189691,0.000044988432,0.021304306],"genre_scores_gemma":[0.99825436,0.000055523058,0.00043255393,0.000009696012,0.00008084517,0.000017974698,0.000045470468,0.0000074238305,0.0010961578],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99892694,0.00004915297,0.0004265931,0.00033118483,0.000121740835,0.00014436686],"domain_scores_gemma":[0.9997055,0.000024376599,0.00009417877,0.00010371381,0.000029720637,0.00004252481],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004559533,0.00012506131,0.00024794374,0.000097079304,0.000046084337,0.00014250624,0.00015735257,0.00020029781,0.00034127466],"category_scores_gemma":[0.0000062890886,0.00011356643,0.00003613884,0.00004206877,0.00017221087,0.00010105788,0.0001383122,0.00015877305,0.000007815656],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048329515,0.00012722363,0.7387097,0.00138599,0.00009461951,0.00000966847,0.14614365,0.00022844592,0.000115450035,0.08248636,0.00015039214,0.030500185],"study_design_scores_gemma":[0.00084309035,0.000040035033,0.5715485,0.000907092,0.00009914072,1.6345636e-7,0.040166743,0.0010065031,0.004666039,0.3746154,0.0048699966,0.0012372637],"about_ca_topic_score_codex":0.07121691,"about_ca_topic_score_gemma":0.44392133,"teacher_disagreement_score":0.37270442,"about_ca_system_score_codex":0.00012790215,"about_ca_system_score_gemma":0.0011482023,"threshold_uncertainty_score":0.93496794},"labels":[],"label_agreement":null},{"id":"W4391593331","doi":"10.32920/25169675.v1","title":"Spatial Analysis of Characteristics and Influencing Factors of Killed or Seriously Injured Persons from Motor Vehicle Collisions within the City of Toronto","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Downtown; Spatial analysis; Geography; Enforcement; Law enforcement; Built environment; Demographics; Regional science; Transport engineering; Demography; Sociology; Engineering; Political science; Civil engineering; Law","score_opus":0.026799408360905483,"score_gpt":0.30616615273824177,"score_spread":0.2793667443773363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391593331","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995821,0.00017197085,0.00005965292,0.00007367923,0.00027401402,0.00043361064,0.0027429597,0.000028399312,0.0003947303],"genre_scores_gemma":[0.9993552,0.00004850767,0.0002196281,0.000010242783,0.000053170592,0.000008239534,0.00007179939,0.00000896505,0.00022427707],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981108,0.00014556143,0.00075791654,0.00036603937,0.00047781225,0.00014191277],"domain_scores_gemma":[0.99831784,0.00034612534,0.0006131859,0.0004079719,0.00022373465,0.00009115465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005461803,0.00018690548,0.0008370816,0.00007358817,0.0001487261,0.00005339626,0.0004258812,0.00026838665,0.00087235146],"category_scores_gemma":[0.0002823109,0.000114187846,0.00031144833,0.00032184392,0.00049797364,0.00008561655,0.00026296385,0.0002579247,1.3684526e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000104706414,0.00006713389,0.9315826,0.00009580632,0.0009444629,7.175897e-7,0.06505753,0.0000071460718,0.0018626881,0.00009995215,0.000005088378,0.00017211378],"study_design_scores_gemma":[0.00008980266,0.00003438043,0.9841773,0.00008748404,0.0018446196,3.9462082e-9,0.011709588,0.000905162,0.0007960005,0.0002157154,0.000012934832,0.00012698895],"about_ca_topic_score_codex":0.68918717,"about_ca_topic_score_gemma":0.6177193,"teacher_disagreement_score":0.07146785,"about_ca_system_score_codex":0.00010841439,"about_ca_system_score_gemma":0.0007184083,"threshold_uncertainty_score":0.9551637},"labels":[],"label_agreement":null},{"id":"W4391593440","doi":"10.32920/25169618","title":"A Service Area Analysis of Indoor Swimming Pools in Toronto","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University; York University","funders":"","keywords":"Demographics; Census; Service (business); Population; Probabilistic logic; Geography; Business; Transport engineering; Statistics; Demography; Engineering; Mathematics; Marketing; Sociology","score_opus":0.03510101315656732,"score_gpt":0.34826400412334385,"score_spread":0.3131629909667765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391593440","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8807013,0.0010195111,0.00005786484,0.0005599424,0.00025008555,0.00026252813,0.00005511616,0.00006852581,0.11702514],"genre_scores_gemma":[0.99833155,0.00005443996,0.00020146217,0.00010067496,0.00006764883,0.000024242607,0.00005546619,0.000007679773,0.0011568132],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983274,0.00007725942,0.00049333833,0.00047786013,0.00039102184,0.00023316385],"domain_scores_gemma":[0.9992374,0.00007655855,0.00013294448,0.00035633126,0.00012319868,0.00007354717],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008280911,0.00015261055,0.0005551483,0.0002050239,0.000045555385,0.00008780943,0.0005206912,0.00030079452,0.0031620439],"category_scores_gemma":[0.000033873614,0.00013688511,0.00030776212,0.0012127465,0.000060218445,0.00011615412,0.00026093665,0.00030804356,0.0000073514943],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019406365,0.00015416394,0.9563913,0.00045263936,0.00096160587,0.0000120486575,0.03623519,0.00017139429,0.000033136446,0.0025074908,0.00009030109,0.0029713647],"study_design_scores_gemma":[0.00016356542,0.000008824999,0.94570255,0.00038361686,0.0026661516,1.3657022e-8,0.034021337,0.0024087029,0.000116449846,0.013014437,0.0009535025,0.00056087296],"about_ca_topic_score_codex":0.6911151,"about_ca_topic_score_gemma":0.9697626,"teacher_disagreement_score":0.27864757,"about_ca_system_score_codex":0.0004348803,"about_ca_system_score_gemma":0.00040616334,"threshold_uncertainty_score":0.9977492},"labels":[],"label_agreement":null},{"id":"W4391593553","doi":"10.32920/25169591","title":"What physical exposures to risks can post-secondary students encounter when taking public transit trips in Toronto?","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"","keywords":"TRIPS architecture; Geography; Public transport; Downtown; Transit (satellite); Socioeconomics; Transport engineering; Demographic economics; Demography; Engineering; Sociology; Economics","score_opus":0.06188384698316499,"score_gpt":0.3910789413886002,"score_spread":0.3291950944054352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391593553","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9569546,0.001976192,0.000025210282,0.0056138285,0.0031308408,0.0011952209,0.000115063565,0.00021980838,0.030769253],"genre_scores_gemma":[0.99475366,0.00013656371,0.00007910379,0.00088018284,0.0009015537,0.00016473324,0.00006703941,0.00003942511,0.0029777323],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9959303,0.00027581432,0.0006263036,0.001181572,0.0012462738,0.0007397293],"domain_scores_gemma":[0.99869,0.000091052534,0.00014184433,0.0005386448,0.00018070402,0.00035776506],"candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012790328,0.0004271354,0.0006651517,0.00017011177,0.00021349436,0.0025378456,0.0016469542,0.0004290966,0.004178582],"category_scores_gemma":[0.00004990948,0.00038164374,0.0003741721,0.00020772568,0.00017859162,0.001074275,0.0004878737,0.0011139463,0.00004603841],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013234715,0.0011214743,0.3673169,0.00051094,0.00030814722,0.0001344288,0.53742576,0.000012525493,0.00013699911,0.0017083816,0.00203285,0.08915921],"study_design_scores_gemma":[0.0008411439,0.00014993758,0.84412044,0.00090386695,0.00018387179,3.296645e-7,0.11659942,0.000028047783,0.00015562461,0.022591852,0.012915543,0.0015099361],"about_ca_topic_score_codex":0.3486958,"about_ca_topic_score_gemma":0.8949455,"teacher_disagreement_score":0.5462497,"about_ca_system_score_codex":0.0011593638,"about_ca_system_score_gemma":0.0010753633,"threshold_uncertainty_score":0.99986356},"labels":[],"label_agreement":null},{"id":"W4391593559","doi":"10.32920/25169633","title":"Spatial Contextualization of Economic Development Strategies in Kitchener-Waterloo and Oshawa","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Economic base analysis; Prosperity; Contextualization; Sustainability; Work (physics); Local economic development; Urban planning; Competitive advantage; Economic growth; Environmental planning; Business; Economic geography; Geography; Economics; Engineering; Civil engineering; Computer science; Marketing","score_opus":0.029201586088640562,"score_gpt":0.3103783529187994,"score_spread":0.28117676683015885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391593559","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97665364,0.00033326502,0.00078283483,0.00018113285,0.0004062471,0.00028041712,0.000013189691,0.000044988432,0.021304306],"genre_scores_gemma":[0.99825436,0.000055523058,0.00043255393,0.000009696012,0.00008084517,0.000017974698,0.000045470468,0.0000074238305,0.0010961578],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99892694,0.00004915297,0.0004265931,0.00033118483,0.000121740835,0.00014436686],"domain_scores_gemma":[0.9997055,0.000024376599,0.00009417877,0.00010371381,0.000029720637,0.00004252481],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004559533,0.00012506131,0.00024794374,0.000097079304,0.000046084337,0.00014250624,0.00015735257,0.00020029781,0.00034127466],"category_scores_gemma":[0.0000062890886,0.00011356643,0.00003613884,0.00004206877,0.00017221087,0.00010105788,0.0001383122,0.00015877305,0.000007815656],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048329515,0.00012722363,0.7387097,0.00138599,0.00009461951,0.00000966847,0.14614365,0.00022844592,0.000115450035,0.08248636,0.00015039214,0.030500185],"study_design_scores_gemma":[0.00084309035,0.000040035033,0.5715485,0.000907092,0.00009914072,1.6345636e-7,0.040166743,0.0010065031,0.004666039,0.3746154,0.0048699966,0.0012372637],"about_ca_topic_score_codex":0.07121691,"about_ca_topic_score_gemma":0.44392133,"teacher_disagreement_score":0.37270442,"about_ca_system_score_codex":0.00012790215,"about_ca_system_score_gemma":0.0011482023,"threshold_uncertainty_score":0.93496794},"labels":[],"label_agreement":null},{"id":"W4391594792","doi":"10.32920/25169675","title":"Spatial Analysis of Characteristics and Influencing Factors of Killed or Seriously Injured Persons from Motor Vehicle Collisions within the City of Toronto","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Downtown; Spatial analysis; Geography; Enforcement; Law enforcement; Built environment; Regional science; Transport engineering; Engineering; Political science; Civil engineering; Law","score_opus":0.026799408360905483,"score_gpt":0.30616615273824177,"score_spread":0.2793667443773363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391594792","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995821,0.00017197085,0.00005965292,0.00007367923,0.00027401402,0.00043361064,0.0027429597,0.000028399312,0.0003947303],"genre_scores_gemma":[0.9993552,0.00004850767,0.0002196281,0.000010242783,0.000053170592,0.000008239534,0.00007179939,0.00000896505,0.00022427707],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981108,0.00014556143,0.00075791654,0.00036603937,0.00047781225,0.00014191277],"domain_scores_gemma":[0.99831784,0.00034612534,0.0006131859,0.0004079719,0.00022373465,0.00009115465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005461803,0.00018690548,0.0008370816,0.00007358817,0.0001487261,0.00005339626,0.0004258812,0.00026838665,0.00087235146],"category_scores_gemma":[0.0002823109,0.000114187846,0.00031144833,0.00032184392,0.00049797364,0.00008561655,0.00026296385,0.0002579247,1.3684526e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000104706414,0.00006713389,0.9315826,0.00009580632,0.0009444629,7.175897e-7,0.06505753,0.0000071460718,0.0018626881,0.00009995215,0.000005088378,0.00017211378],"study_design_scores_gemma":[0.00008980266,0.00003438043,0.9841773,0.00008748404,0.0018446196,3.9462082e-9,0.011709588,0.000905162,0.0007960005,0.0002157154,0.000012934832,0.00012698895],"about_ca_topic_score_codex":0.68918717,"about_ca_topic_score_gemma":0.6177193,"teacher_disagreement_score":0.07146785,"about_ca_system_score_codex":0.00010841439,"about_ca_system_score_gemma":0.0007184083,"threshold_uncertainty_score":0.9551637},"labels":[],"label_agreement":null},{"id":"W4391596242","doi":"10.32920/25167491.v1","title":"Complete Communities in the Suburbs: Evaluating Transit-Oriented Development Potential North of Toronto","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University; Centre for Social Innovation; University of Victoria","funders":"Government of Ontario","keywords":"Typology; Cohesion (chemistry); Context (archaeology); Transit-oriented development; Development (topology); Regional science; Public transport; Transit (satellite); Private sector; Transport engineering; Geography; Engineering; Economic growth; Economics; Mathematics","score_opus":0.08578700948699422,"score_gpt":0.3535042646893559,"score_spread":0.26771725520236167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391596242","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9732885,0.002102955,0.00043644063,0.0003625638,0.00049140846,0.000724942,0.00006948272,0.000070561524,0.02245316],"genre_scores_gemma":[0.9979663,0.00008856342,0.0012039723,0.00006930429,0.0001035627,0.00005902258,0.00027395217,0.0000114718605,0.00022388644],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99715394,0.00062812184,0.0007025623,0.00026613756,0.00093731395,0.00031191934],"domain_scores_gemma":[0.9990962,0.00012833085,0.00014357433,0.00040649695,0.0001796777,0.000045729197],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002800082,0.0002065699,0.00036843374,0.00004205565,0.00033135674,0.00010632602,0.00095332187,0.00015663312,0.0009268094],"category_scores_gemma":[0.000018593502,0.00014987016,0.00015815518,0.00014279784,0.00035742664,0.00009775978,0.00021498195,0.000575191,0.000004580388],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000095575175,0.00038386468,0.12806872,0.0010256066,0.00013719717,0.000017566952,0.8369871,0.00041367573,0.00002938083,0.0041091726,0.00017239207,0.028559804],"study_design_scores_gemma":[0.00059101166,0.00008887697,0.7717029,0.0008858873,0.00025397836,3.8507906e-7,0.20913579,0.0026356892,0.000027468144,0.0043999865,0.009479461,0.00079860777],"about_ca_topic_score_codex":0.2750804,"about_ca_topic_score_gemma":0.8818358,"teacher_disagreement_score":0.64363414,"about_ca_system_score_codex":0.00022971071,"about_ca_system_score_gemma":0.00081804534,"threshold_uncertainty_score":0.99998647},"labels":[],"label_agreement":null},{"id":"W4391596513","doi":"10.32920/25167491","title":"Complete Communities in the Suburbs: Evaluating Transit-Oriented Development Potential North of Toronto","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University; Centre for Social Innovation; University of Victoria","funders":"Government of Ontario","keywords":"Typology; Cohesion (chemistry); Context (archaeology); Transit-oriented development; Development (topology); Public transport; Regional science; Transit (satellite); Transport engineering; Business; Geography; Engineering; Mathematics","score_opus":0.08578700948699422,"score_gpt":0.3535042646893559,"score_spread":0.26771725520236167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391596513","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9732885,0.002102955,0.00043644063,0.0003625638,0.00049140846,0.000724942,0.00006948272,0.000070561524,0.02245316],"genre_scores_gemma":[0.9979663,0.00008856342,0.0012039723,0.00006930429,0.0001035627,0.00005902258,0.00027395217,0.0000114718605,0.00022388644],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99715394,0.00062812184,0.0007025623,0.00026613756,0.00093731395,0.00031191934],"domain_scores_gemma":[0.9990962,0.00012833085,0.00014357433,0.00040649695,0.0001796777,0.000045729197],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002800082,0.0002065699,0.00036843374,0.00004205565,0.00033135674,0.00010632602,0.00095332187,0.00015663312,0.0009268094],"category_scores_gemma":[0.000018593502,0.00014987016,0.00015815518,0.00014279784,0.00035742664,0.00009775978,0.00021498195,0.000575191,0.000004580388],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000095575175,0.00038386468,0.12806872,0.0010256066,0.00013719717,0.000017566952,0.8369871,0.00041367573,0.00002938083,0.0041091726,0.00017239207,0.028559804],"study_design_scores_gemma":[0.00059101166,0.00008887697,0.7717029,0.0008858873,0.00025397836,3.8507906e-7,0.20913579,0.0026356892,0.000027468144,0.0043999865,0.009479461,0.00079860777],"about_ca_topic_score_codex":0.2750804,"about_ca_topic_score_gemma":0.8818358,"teacher_disagreement_score":0.64363414,"about_ca_system_score_codex":0.00022971071,"about_ca_system_score_gemma":0.00081804534,"threshold_uncertainty_score":0.99998647},"labels":[],"label_agreement":null},{"id":"W4391596612","doi":"10.32920/25167701","title":"Planning for Toronto’s Major Transit Station Areas: Achieving Transit-Oriented Development","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Growth management; Transit (satellite); Public transport; Transit-oriented development; Urban planning; Government (linguistics); Land use; Business; Plan (archaeology); Regional planning; Population growth; Environmental planning; Population; Development plan; Land-use planning; Order (exchange); Public policy; Economic growth; Transport engineering; Geography; Finance; Engineering; Economics; Civil engineering","score_opus":0.037219555245698414,"score_gpt":0.3438957582819439,"score_spread":0.3066762030362455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391596612","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6971085,0.0032650055,0.24771588,0.0018702699,0.0030606606,0.002993116,0.00025939205,0.0009483987,0.04277876],"genre_scores_gemma":[0.9834862,0.000027519485,0.011037416,0.00011113502,0.00043726488,0.00028489492,0.00058042834,0.000042163123,0.0039929813],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974385,0.00007482272,0.00062701904,0.00080394483,0.000545103,0.00051061914],"domain_scores_gemma":[0.9991891,0.00010708174,0.00012144522,0.0002277275,0.00017202394,0.0001826496],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001011022,0.00032889293,0.00040178915,0.00007220811,0.0005631892,0.00025355024,0.00037423402,0.0003911079,0.0005502694],"category_scores_gemma":[0.00003047549,0.0003106004,0.0002542388,0.000120831486,0.00009449881,0.00025156428,0.000051249157,0.00038733095,0.000009769104],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006505182,0.0006385964,0.043412942,0.0060159727,0.0011799157,0.0000603641,0.8248754,0.0008129821,0.00040291634,0.01897102,0.004061458,0.09891788],"study_design_scores_gemma":[0.005000461,0.0002729815,0.25487897,0.007194594,0.0021014183,0.0000014612494,0.16765326,0.002736071,0.004926726,0.04783752,0.50006473,0.007331786],"about_ca_topic_score_codex":0.0075625945,"about_ca_topic_score_gemma":0.084259175,"teacher_disagreement_score":0.65722215,"about_ca_system_score_codex":0.00059811573,"about_ca_system_score_gemma":0.0010748706,"threshold_uncertainty_score":0.9999346},"labels":[],"label_agreement":null},{"id":"W4391617568","doi":"10.32920/25167701.v1","title":"Planning for Toronto’s Major Transit Station Areas: Achieving Transit-Oriented Development","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Growth management; Transit-oriented development; Transit (satellite); Urban planning; Government (linguistics); Public transport; Land use; Regional planning; Plan (archaeology); Business; Environmental planning; Development plan; Population growth; Population; Land-use planning; Order (exchange); Public policy; Transport engineering; Economic growth; Geography; Finance; Engineering; Economics; Civil engineering","score_opus":0.037219555245698414,"score_gpt":0.3438957582819439,"score_spread":0.3066762030362455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391617568","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6971085,0.0032650055,0.24771588,0.0018702699,0.0030606606,0.002993116,0.00025939205,0.0009483987,0.04277876],"genre_scores_gemma":[0.9834862,0.000027519485,0.011037416,0.00011113502,0.00043726488,0.00028489492,0.00058042834,0.000042163123,0.0039929813],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974385,0.00007482272,0.00062701904,0.00080394483,0.000545103,0.00051061914],"domain_scores_gemma":[0.9991891,0.00010708174,0.00012144522,0.0002277275,0.00017202394,0.0001826496],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001011022,0.00032889293,0.00040178915,0.00007220811,0.0005631892,0.00025355024,0.00037423402,0.0003911079,0.0005502694],"category_scores_gemma":[0.00003047549,0.0003106004,0.0002542388,0.000120831486,0.00009449881,0.00025156428,0.000051249157,0.00038733095,0.000009769104],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006505182,0.0006385964,0.043412942,0.0060159727,0.0011799157,0.0000603641,0.8248754,0.0008129821,0.00040291634,0.01897102,0.004061458,0.09891788],"study_design_scores_gemma":[0.005000461,0.0002729815,0.25487897,0.007194594,0.0021014183,0.0000014612494,0.16765326,0.002736071,0.004926726,0.04783752,0.50006473,0.007331786],"about_ca_topic_score_codex":0.0075625945,"about_ca_topic_score_gemma":0.084259175,"teacher_disagreement_score":0.65722215,"about_ca_system_score_codex":0.00059811573,"about_ca_system_score_gemma":0.0010748706,"threshold_uncertainty_score":0.9999346},"labels":[],"label_agreement":null},{"id":"W4391617786","doi":"10.32920/25169618.v1","title":"A Service Area Analysis of Indoor Swimming Pools in Toronto","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University; York University","funders":"","keywords":"Demographics; Service (business); Census; Population; Probabilistic logic; Geography; Business; Transport engineering; Statistics; Demography; Engineering; Mathematics; Marketing","score_opus":0.03510101315656732,"score_gpt":0.34826400412334385,"score_spread":0.3131629909667765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391617786","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8807013,0.0010195111,0.00005786484,0.0005599424,0.00025008555,0.00026252813,0.00005511616,0.00006852581,0.11702514],"genre_scores_gemma":[0.99833155,0.00005443996,0.00020146217,0.00010067496,0.00006764883,0.000024242607,0.00005546619,0.000007679773,0.0011568132],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983274,0.00007725942,0.00049333833,0.00047786013,0.00039102184,0.00023316385],"domain_scores_gemma":[0.9992374,0.00007655855,0.00013294448,0.00035633126,0.00012319868,0.00007354717],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008280911,0.00015261055,0.0005551483,0.0002050239,0.000045555385,0.00008780943,0.0005206912,0.00030079452,0.0031620439],"category_scores_gemma":[0.000033873614,0.00013688511,0.00030776212,0.0012127465,0.000060218445,0.00011615412,0.00026093665,0.00030804356,0.0000073514943],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019406365,0.00015416394,0.9563913,0.00045263936,0.00096160587,0.0000120486575,0.03623519,0.00017139429,0.000033136446,0.0025074908,0.00009030109,0.0029713647],"study_design_scores_gemma":[0.00016356542,0.000008824999,0.94570255,0.00038361686,0.0026661516,1.3657022e-8,0.034021337,0.0024087029,0.000116449846,0.013014437,0.0009535025,0.00056087296],"about_ca_topic_score_codex":0.6911151,"about_ca_topic_score_gemma":0.9697626,"teacher_disagreement_score":0.27864757,"about_ca_system_score_codex":0.0004348803,"about_ca_system_score_gemma":0.00040616334,"threshold_uncertainty_score":0.9977492},"labels":[],"label_agreement":null},{"id":"W4391617929","doi":"10.32920/25169591.v1","title":"What physical exposures to risks can post-secondary students encounter when taking public transit trips in Toronto?","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"","keywords":"TRIPS architecture; Geography; Public transport; Downtown; Transit (satellite); Socioeconomics; Transport engineering; Demographic economics; Demography; Engineering; Sociology; Economics","score_opus":0.06188384698316499,"score_gpt":0.3910789413886002,"score_spread":0.3291950944054352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391617929","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9569546,0.001976192,0.000025210282,0.0056138285,0.0031308408,0.0011952209,0.000115063565,0.00021980838,0.030769253],"genre_scores_gemma":[0.99475366,0.00013656371,0.00007910379,0.00088018284,0.0009015537,0.00016473324,0.00006703941,0.00003942511,0.0029777323],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9959303,0.00027581432,0.0006263036,0.001181572,0.0012462738,0.0007397293],"domain_scores_gemma":[0.99869,0.000091052534,0.00014184433,0.0005386448,0.00018070402,0.00035776506],"candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012790328,0.0004271354,0.0006651517,0.00017011177,0.00021349436,0.0025378456,0.0016469542,0.0004290966,0.004178582],"category_scores_gemma":[0.00004990948,0.00038164374,0.0003741721,0.00020772568,0.00017859162,0.001074275,0.0004878737,0.0011139463,0.00004603841],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013234715,0.0011214743,0.3673169,0.00051094,0.00030814722,0.0001344288,0.53742576,0.000012525493,0.00013699911,0.0017083816,0.00203285,0.08915921],"study_design_scores_gemma":[0.0008411439,0.00014993758,0.84412044,0.00090386695,0.00018387179,3.296645e-7,0.11659942,0.000028047783,0.00015562461,0.022591852,0.012915543,0.0015099361],"about_ca_topic_score_codex":0.3486958,"about_ca_topic_score_gemma":0.8949455,"teacher_disagreement_score":0.5462497,"about_ca_system_score_codex":0.0011593638,"about_ca_system_score_gemma":0.0010753633,"threshold_uncertainty_score":0.99986356},"labels":[],"label_agreement":null},{"id":"W4391629724","doi":"10.1016/j.cities.2024.104852","title":"Examining the socio-spatial patterns of bus shelters with deep learning analysis of street-view images: A case study of 20 cities in the U.S.","year":2024,"lang":"en","type":"article","venue":"Cities","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Virginia Polytechnic Institute and State University","keywords":"Geography; Injustice; Scale (ratio); School bus; Range (aeronautics); Population; Socioeconomics; Transport engineering; Regional science; Cartography; Demography; Political science; Sociology; Engineering","score_opus":0.03762443197039712,"score_gpt":0.3014099771618586,"score_spread":0.26378554519146147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391629724","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980348,0.0009845749,0.0001472052,0.000056853467,0.00003936331,0.00021794028,0.000029103034,0.000015865051,0.00047432806],"genre_scores_gemma":[0.9997788,0.000057872363,0.0000064082305,0.000010372109,0.000033645076,0.000020639132,0.0000058051364,0.000006142852,0.00008032985],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99852556,0.00038699995,0.00035012784,0.0001696258,0.00041166146,0.0001560389],"domain_scores_gemma":[0.9990133,0.0005729872,0.00014499956,0.00017970185,0.000072894894,0.000016110274],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010338161,0.000099242105,0.00032118743,0.0001569973,0.00018818739,0.000053249572,0.00027963592,0.00002552339,0.00010657509],"category_scores_gemma":[0.000033333057,0.00005620113,0.0000964968,0.00067171437,0.0005607832,0.00016280675,0.0000232441,0.0001690974,1.06330894e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007024783,0.000044994256,0.7156043,0.00009544696,0.00022078447,0.00008038072,0.281549,0.000196942,0.000003470596,0.000040678442,0.0000013491889,0.0021555976],"study_design_scores_gemma":[0.00009174846,0.00010145326,0.33428177,0.00007216196,0.00045169675,5.1456817e-7,0.6647815,0.00011362804,0.000017167207,0.00002854589,0.0000086993705,0.000051103125],"about_ca_topic_score_codex":0.08434891,"about_ca_topic_score_gemma":0.2733448,"teacher_disagreement_score":0.3832325,"about_ca_system_score_codex":0.000022784301,"about_ca_system_score_gemma":0.00007488325,"threshold_uncertainty_score":0.9217485},"labels":[],"label_agreement":null},{"id":"W4391726822","doi":"10.1007/978-3-031-17299-1_698","title":"Density, Urban","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Geography","score_opus":0.049759544230010146,"score_gpt":0.29475913172928875,"score_spread":0.2449995874992786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391726822","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0002524991,0.00005491206,0.000017091985,0.0004901047,0.0006225541,0.00016834431,0.000011234041,0.00045307598,0.99793017],"genre_scores_gemma":[0.02196115,0.00007661303,0.000029202893,0.00014699434,0.00074821105,0.000001639835,0.000026394804,0.000028836957,0.976981],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988713,0.000009400528,0.00018034359,0.00030118402,0.0004184012,0.00021936622],"domain_scores_gemma":[0.99945,0.00005664907,0.0000659198,0.00023107589,0.00007689945,0.000119416276],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00030787272,0.00014277939,0.000210482,0.00006211631,0.00026995115,0.000061203566,0.00029967583,0.00034074977,0.0062209843],"category_scores_gemma":[0.00001725739,0.0001326912,0.00016310162,0.00003617423,0.00028369905,0.00008209539,0.00003717809,0.00021511324,0.002388723],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000024189274,0.0000051183188,0.009449929,0.000012154657,0.00002290714,0.000029225985,0.00067978166,1.832789e-8,4.7326296e-7,0.9314348,0.056823745,0.0015394457],"study_design_scores_gemma":[0.000042458752,0.0000059350778,0.0037453645,0.00002785517,0.00003512604,3.336381e-8,0.000057670135,2.5440622e-7,0.000003170862,0.1868011,0.8090459,0.00023513898],"about_ca_topic_score_codex":0.0016978213,"about_ca_topic_score_gemma":0.030910809,"teacher_disagreement_score":0.7522221,"about_ca_system_score_codex":0.00005549478,"about_ca_system_score_gemma":0.00017476459,"threshold_uncertainty_score":0.99838805},"labels":[],"label_agreement":null},{"id":"W4391728364","doi":"10.1007/978-3-031-17299-1_1928","title":"Neighborhood Active Living Potential (NALP)","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Biology","score_opus":0.028054086024817505,"score_gpt":0.2803278149379721,"score_spread":0.2522737289131546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391728364","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00019713612,0.00005252475,0.0001940256,0.0004770204,0.0009563648,0.00024188505,0.000044944387,0.00041528026,0.99742085],"genre_scores_gemma":[0.17933775,0.00010686032,0.00002392029,0.00010901959,0.0010445904,0.000004146703,0.000022450697,0.000040977575,0.8193103],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983093,0.000025198775,0.00026282755,0.00046260783,0.0005915165,0.00034856045],"domain_scores_gemma":[0.99919903,0.00014453352,0.00014251847,0.00024157518,0.00011470897,0.00015764506],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003344916,0.00022949312,0.00029789255,0.00010051818,0.0004357883,0.00010662056,0.0004025196,0.00045308875,0.014838686],"category_scores_gemma":[0.000047871046,0.00021650028,0.00028283897,0.000059406848,0.00027751052,0.00024136237,0.00006227703,0.0003881847,0.0009543847],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026444406,0.00005655342,0.003437546,0.000051177685,0.0002667556,0.00011508833,0.0050468068,0.0000015459361,0.000008975284,0.9520762,0.009939234,0.02897365],"study_design_scores_gemma":[0.00032633747,0.000086853004,0.033413626,0.0004660763,0.000508742,7.3084516e-7,0.002056553,0.000020749118,0.000017358008,0.5191289,0.44193152,0.0020425324],"about_ca_topic_score_codex":0.001394978,"about_ca_topic_score_gemma":0.008129345,"teacher_disagreement_score":0.4329473,"about_ca_system_score_codex":0.00009892927,"about_ca_system_score_gemma":0.00029686335,"threshold_uncertainty_score":0.9998235},"labels":[],"label_agreement":null},{"id":"W4391798751","doi":"","title":"Modelling socio differentiated exposure to air pollution in the Greater Paris","year":2023,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministère des Transports","funders":"","keywords":"Air pollution; Environmental science; Pollution; Environmental planning; Computer science; Chemistry","score_opus":0.029197623300883963,"score_gpt":0.25873864830659776,"score_spread":0.2295410250057138,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391798751","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9276239,0.0000693731,0.021091072,0.037241157,0.00007694322,0.0003122773,0.000012932741,0.00019621236,0.013376112],"genre_scores_gemma":[0.99499243,0.00007086033,0.00070811773,0.00026565185,0.000022119335,0.000039370065,0.00007582693,0.000011277256,0.0038143166],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99566185,0.0029833866,0.00027089842,0.00033059288,0.00039954373,0.00035372394],"domain_scores_gemma":[0.99848336,0.00038832886,0.00008443674,0.0005864938,0.00036230477,0.00009508546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005538026,0.000115240575,0.00013641018,0.00012594207,0.00068482815,0.00016866825,0.0006937143,0.00010657799,0.00010757696],"category_scores_gemma":[0.00021615834,0.0000956938,0.000089313784,0.0011490788,0.00016206532,0.0001907682,0.0000755006,0.00019028285,0.000074719195],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003478648,0.00066640665,0.43236607,0.000050610975,0.000041140982,0.000012125715,0.45118675,0.0037426634,0.00068572507,0.09490072,0.0041663935,0.012146613],"study_design_scores_gemma":[0.00081122114,0.0000010728625,0.9352158,0.00041739273,0.00003970286,4.2076314e-7,0.009558066,0.014438438,0.0029373083,0.013504001,0.022535551,0.00054107414],"about_ca_topic_score_codex":0.0077662687,"about_ca_topic_score_gemma":0.012187786,"teacher_disagreement_score":0.5028497,"about_ca_system_score_codex":0.000071499395,"about_ca_system_score_gemma":0.00008657896,"threshold_uncertainty_score":0.9988411},"labels":[],"label_agreement":null},{"id":"W4391912836","doi":"10.1016/j.ssmph.2024.101637","title":"Associations between gentrification, census tract-level socioeconomic status, and cycling infrastructure expansions in Montreal, Canada","year":2024,"lang":"en","type":"article","venue":"SSM - Population Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University; University of Saskatchewan; Université de Sherbrooke; Université de Montréal","funders":"Canadian Institutes of Health Research","keywords":"Gentrification; Census tract; Socioeconomic status; Census; Geography; Cycling; American Community Survey; Socioeconomics; Demography; Regional science; Demographic economics; Sociology; Economic growth; Population; Economics; Archaeology","score_opus":0.039541400863853646,"score_gpt":0.3428245392417692,"score_spread":0.30328313837791554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391912836","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9913889,0.00077887985,0.00006464676,0.0058981976,0.00029335698,0.00032919247,0.0010213844,0.00006056787,0.00016484971],"genre_scores_gemma":[0.9976969,0.00022909531,0.00015651052,0.00022368322,0.00027242093,0.000007354063,0.0012556727,0.000010248092,0.00014816558],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984146,0.00015086363,0.00053210545,0.0002931478,0.0002125479,0.00039674004],"domain_scores_gemma":[0.99930555,0.00018487913,0.00015045554,0.00010752471,0.00003763461,0.00021393785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006401751,0.00009874948,0.00021120386,0.00010013889,0.00060459663,0.0000909643,0.00007672716,0.000107509964,0.00006780226],"category_scores_gemma":[0.00006235021,0.00010619052,0.00003032199,0.00024120754,0.000040237584,0.00031754244,0.000006237576,0.0002338117,0.0000023040882],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[8.5051727e-7,0.000007311184,0.97786933,0.00001905237,0.0000061842334,5.079486e-7,0.0077406373,0.00008059112,5.3142765e-7,0.0009341969,0.0013365163,0.012004309],"study_design_scores_gemma":[0.00009992026,0.0000038026872,0.9890502,0.000018808694,0.000008681466,3.5212402e-8,0.001908791,0.0001397264,3.6289157e-7,0.005153861,0.0035201123,0.00009571055],"about_ca_topic_score_codex":0.95669746,"about_ca_topic_score_gemma":0.98185635,"teacher_disagreement_score":0.025158864,"about_ca_system_score_codex":0.0013770375,"about_ca_system_score_gemma":0.0016736215,"threshold_uncertainty_score":0.46501297},"labels":[],"label_agreement":null},{"id":"W4391958517","doi":"10.32866/001c.93913","title":"How and Where Did Older People Travel Before and After COVID? Insights from Washington, DC’s Smart Card Data","year":2024,"lang":"en","type":"article","venue":"Findings","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"TRIPS architecture; Coronavirus disease 2019 (COVID-19); Smart card; Destinations; 2019-20 coronavirus outbreak; Population; Travel behavior; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Transit (satellite); Geography; Korean population; Gerontology; Business; Demographic economics; Demography; Transport engineering; Public transport; Medicine; Computer science; Computer security; Environmental health; Engineering; Tourism; Sociology; Economics; Infectious disease (medical specialty); Disease","score_opus":0.018658105731710502,"score_gpt":0.2672434950221118,"score_spread":0.2485853892904013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391958517","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9911539,0.0030228507,0.00009904096,0.0041721007,0.00035264803,0.00018857374,0.00038313481,0.000082192295,0.0005455514],"genre_scores_gemma":[0.99681365,0.00012325456,0.00009922416,0.00012082188,0.00027876845,0.000010141619,0.00014989448,0.000015598547,0.0023886294],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987403,0.00003594975,0.00013296801,0.00058650563,0.0002643563,0.00023990805],"domain_scores_gemma":[0.9994187,0.00008324934,0.000023974104,0.00027734466,0.000021986969,0.00017474522],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000215642,0.0001411232,0.00019661928,0.00004950118,0.0003074279,0.0008786604,0.00029565225,0.0001436161,0.00017006704],"category_scores_gemma":[0.00004257646,0.00011587515,0.000034746765,0.00019263409,0.00022459388,0.001257999,0.00010995341,0.00018605894,0.000007794624],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010161711,0.000013462581,0.93194455,0.000093545255,0.000027589907,0.000030029149,0.06306491,6.840286e-9,0.000060110102,0.00039974306,0.0029467703,0.0014091273],"study_design_scores_gemma":[0.00015253112,0.000013273681,0.9288367,0.0000996717,0.0000627254,3.5357533e-7,0.0028904192,0.000032407643,0.000031751384,0.0022140169,0.0654998,0.00016634398],"about_ca_topic_score_codex":0.0071972357,"about_ca_topic_score_gemma":0.15602599,"teacher_disagreement_score":0.14882876,"about_ca_system_score_codex":0.00003605144,"about_ca_system_score_gemma":0.0000940429,"threshold_uncertainty_score":0.9994139},"labels":[],"label_agreement":null},{"id":"W4391972466","doi":"10.3390/su16051745","title":"Advancing Urban Healthcare Equity Analysis: Integrating Public Participation GIS with Fuzzy Best–Worst Decision-Making","year":2024,"lang":"en","type":"article","venue":"Sustainability","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Equity (law); Fuzzy logic; Multiple-criteria decision analysis; Geographic information system; Health care; Computer science; Environmental economics; Business; Operations research; Mathematics; Geography; Economics; Economic growth","score_opus":0.02413840675287829,"score_gpt":0.3987136603062541,"score_spread":0.37457525355337584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391972466","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9677101,0.000926919,0.02116369,0.0058469195,0.00022958599,0.00070852874,0.00001650743,0.00040277647,0.0029950056],"genre_scores_gemma":[0.99836373,0.000007803601,0.0010648888,0.00007658886,0.0002278105,0.00008854262,0.000020156462,0.000018475472,0.00013200434],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.996093,0.00057252427,0.0006276308,0.00087428687,0.0008487633,0.0009838388],"domain_scores_gemma":[0.9967679,0.0008792484,0.00014406785,0.00057178707,0.0013089102,0.00032810998],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0048144003,0.00023628582,0.00041001558,0.00032375279,0.0013643563,0.00070186506,0.0004164578,0.00016019034,0.00020453804],"category_scores_gemma":[0.004010273,0.00019089447,0.00025217707,0.004098783,0.000504346,0.0014630717,0.00010375981,0.00053500605,0.0000056172644],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005517934,0.00012010913,0.85990536,0.00029524654,0.00009540208,0.000026698819,0.014967218,0.000084782754,7.237493e-7,0.021276103,0.000044595898,0.10312855],"study_design_scores_gemma":[0.0002133274,0.00022411328,0.672042,0.0004177873,0.0007410193,4.0509178e-7,0.07292142,0.002720731,0.000010404248,0.24544667,0.0045563485,0.00070579676],"about_ca_topic_score_codex":0.008263948,"about_ca_topic_score_gemma":0.13494313,"teacher_disagreement_score":0.22417057,"about_ca_system_score_codex":0.002756294,"about_ca_system_score_gemma":0.0026004002,"threshold_uncertainty_score":0.99993575},"labels":[],"label_agreement":null},{"id":"W4391995832","doi":"10.2196/51727","title":"Enhancing Health Care Accessibility and Equity Through a Geoprocessing Toolbox for Spatial Accessibility Analysis: Development and Case Study","year":2024,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Geoprocessing; Toolbox; Equity (law); Catchment area; Health care; Population; Business; Computer science; Environmental health; Medicine; Geography; Cartography; Economic growth","score_opus":0.1403842371706627,"score_gpt":0.5297075453582241,"score_spread":0.38932330818756133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391995832","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.985824,0.0027513306,0.0074771536,0.00029112186,0.00012087635,0.0026290992,0.000059106547,0.00013372011,0.00071359554],"genre_scores_gemma":[0.9983719,0.000022465356,0.0008273564,0.000030994583,0.00013388906,0.0005220621,0.000030181638,0.000015142971,0.00004598128],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9951623,0.00081280654,0.000850188,0.0010242336,0.0011522587,0.0009982035],"domain_scores_gemma":[0.99779284,0.00073231553,0.00014255018,0.00034496965,0.00065436785,0.0003329343],"candidate_categories":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.009637691,0.0002513061,0.00055725843,0.00034984184,0.0037521666,0.0015188047,0.00038064868,0.0001373323,0.000048347614],"category_scores_gemma":[0.00022144911,0.00020614662,0.000113033,0.0019608277,0.00071218493,0.0026853103,0.00037098792,0.000591075,0.0000020168968],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009007555,0.00030672675,0.17762725,0.0020943664,0.00021263822,0.00006288137,0.6624081,4.3883125e-7,0.00000567244,0.00010323553,0.000024451287,0.15706414],"study_design_scores_gemma":[0.0007555931,0.00041686077,0.4956234,0.0002136576,0.00012525351,0.000004653303,0.49850735,0.00048440357,0.0004065727,0.001986071,0.0010481192,0.00042803335],"about_ca_topic_score_codex":0.016781826,"about_ca_topic_score_gemma":0.15020774,"teacher_disagreement_score":0.31799617,"about_ca_system_score_codex":0.0008527373,"about_ca_system_score_gemma":0.0022511254,"threshold_uncertainty_score":0.99951774},"labels":[],"label_agreement":null},{"id":"W4392010421","doi":"10.1016/j.jth.2024.101777","title":"Persistent impact of COVID-19 pandemic on mobility behavior of paratransit users, montreal case study","year":2024,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Paratransit; Pandemic; Coronavirus disease 2019 (COVID-19); Travel behavior; Service (business); Business; Demographic economics; Geography; Demography; Transport engineering; Medicine; Engineering; Sociology; Economics; Marketing","score_opus":0.0958437974815865,"score_gpt":0.4324736036791247,"score_spread":0.3366298061975382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392010421","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964548,0.0015433906,0.00011120911,0.0004222818,0.00029900798,0.0008381107,0.000230481,0.000031557556,0.00006919056],"genre_scores_gemma":[0.9994104,0.00032137474,0.000041300336,0.00004922638,0.00011903279,0.000005765067,0.0000057844513,0.000014959589,0.00003216278],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9965325,0.00034430015,0.0015399306,0.00029942385,0.0008915613,0.00039225962],"domain_scores_gemma":[0.9980166,0.00018208491,0.00056365295,0.00026704575,0.00021051058,0.0007601087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004111079,0.00020817907,0.0008256392,0.0002455076,0.0002362055,0.000018757266,0.00030598388,0.00012417644,0.00023709875],"category_scores_gemma":[0.000025957102,0.0001569426,0.0010739651,0.0005074169,0.0002913063,0.00031237587,0.0000029623966,0.0005179755,6.040309e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004756977,0.0022544616,0.9339624,0.0003586735,0.00019479934,0.0018239619,0.058520827,0.00042897483,0.000028273867,0.000009329885,0.000064902655,0.0018777056],"study_design_scores_gemma":[0.0010686814,0.00356779,0.9715028,0.00012166014,0.00049987313,0.00014944271,0.022714002,0.000012039353,0.0000063390053,0.000054152646,0.00015647973,0.00014673201],"about_ca_topic_score_codex":0.13834442,"about_ca_topic_score_gemma":0.103601135,"teacher_disagreement_score":0.037540417,"about_ca_system_score_codex":0.00080065447,"about_ca_system_score_gemma":0.0048148423,"threshold_uncertainty_score":0.9127558},"labels":[],"label_agreement":null},{"id":"W4392053674","doi":"10.1016/j.tranpol.2024.02.015","title":"Bicycles and micromobility for disaster response and recovery","year":2024,"lang":"en","type":"article","venue":"Transport Policy","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Environmental health; Transport engineering; Business; Engineering; Medicine","score_opus":0.02058921643984362,"score_gpt":0.34061816655764643,"score_spread":0.3200289501178028,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392053674","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.992017,0.0010347323,0.00033526708,0.004410729,0.00011859228,0.00038345595,0.00021722473,0.00013035575,0.0013526946],"genre_scores_gemma":[0.9970409,0.00017167791,0.00026392305,0.00017616508,0.00028672928,0.000028568382,0.000013126058,0.000014787724,0.002004109],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989593,0.000060951017,0.00020919053,0.00036460362,0.00011291097,0.00029305462],"domain_scores_gemma":[0.99940866,0.00026283215,0.000018801098,0.00013591838,0.0000227909,0.00015101816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00092792907,0.000119042386,0.00016385778,0.000104826584,0.00024165174,0.00008708679,0.0000933823,0.00010275823,0.00006766025],"category_scores_gemma":[0.000045357727,0.00010607852,0.00008591239,0.00021266745,0.0005060667,0.00035228254,0.0000051741663,0.000083476036,0.0000034181976],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0034061803,0.00026912178,0.7269038,0.0015586251,0.00017308949,0.000059324833,0.10995362,0.0000016292503,0.009744506,0.030506913,0.001045805,0.11637739],"study_design_scores_gemma":[0.00032137844,0.000081288934,0.8403982,0.000071203176,0.0000647526,0.0000012374483,0.0009425094,0.0000083176565,0.00032104898,0.018758329,0.13877851,0.00025324893],"about_ca_topic_score_codex":0.0032894847,"about_ca_topic_score_gemma":0.004188917,"teacher_disagreement_score":0.13773271,"about_ca_system_score_codex":0.00004322521,"about_ca_system_score_gemma":0.00027493702,"threshold_uncertainty_score":0.49727386},"labels":[],"label_agreement":null},{"id":"W4392094355","doi":"10.1371/journal.pone.0299077","title":"Multimodal spatial availability: A singly-constrained measure of accessibility considering multiple modes","year":2024,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Social Sciences and Humanities Research Council of Canada; Federation for the Humanities and Social Sciences","keywords":"Measure (data warehouse); Computer science; Population; Value (mathematics); Meaning (existential); Empirical research; Statistics; Data mining; Mathematics; Machine learning","score_opus":0.07872763716874397,"score_gpt":0.2874541413117179,"score_spread":0.20872650414297395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392094355","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9907115,0.00045737266,0.00091009535,0.00042881147,0.00011762134,0.00060524326,0.00009308115,0.00035447217,0.00632181],"genre_scores_gemma":[0.9964189,0.000009957995,0.003118161,0.00002178925,0.00022115622,0.00002609178,0.000010932739,0.000018437027,0.00015460077],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99750614,0.00019528923,0.00054110575,0.0005788025,0.00078568707,0.00039296242],"domain_scores_gemma":[0.99856615,0.00053588056,0.00009326608,0.00037079438,0.00026486474,0.00016905596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012861736,0.00018208784,0.00042840984,0.00008495063,0.00026058534,0.00014451372,0.00031522007,0.00017561532,0.0008388229],"category_scores_gemma":[0.0012827461,0.00017367092,0.00016636417,0.00036179103,0.00094968756,0.0005573353,0.00004751915,0.0002792722,0.000019508692],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010833698,0.0017669037,0.9241899,0.00085120404,0.00023661663,0.00001343994,0.0067031994,0.00000826657,0.057359174,0.0003908575,0.000010359569,0.008361697],"study_design_scores_gemma":[0.0034180721,0.0003148999,0.5319289,0.0035019156,0.001383061,7.933212e-7,0.0066505466,0.07129351,0.35678807,0.022259679,0.0003955482,0.0020650479],"about_ca_topic_score_codex":0.0063852957,"about_ca_topic_score_gemma":0.012475842,"teacher_disagreement_score":0.3922611,"about_ca_system_score_codex":0.00012605108,"about_ca_system_score_gemma":0.0005539821,"threshold_uncertainty_score":0.9652699},"labels":[],"label_agreement":null},{"id":"W4392107512","doi":"10.1177/03611981241230307","title":"Missing Typical Weekdays in Travel Surveys: A Pseudo-Panel Approach to Explore Weekly Travel Patterns","year":2024,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Transport engineering; Travel behavior; Travel time; Econometrics; Statistics; Geography; Computer science; Engineering; Mathematics","score_opus":0.27054416901744355,"score_gpt":0.434309144401821,"score_spread":0.16376497538437745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392107512","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97118205,0.0004079865,0.015802812,0.008935472,0.0007928132,0.0014931286,0.000114548755,0.000054260756,0.0012169438],"genre_scores_gemma":[0.995918,0.000516283,0.0012045809,0.00006072598,0.0004923537,0.00012295965,0.000037217033,0.00007912177,0.0015687933],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98640686,0.003962742,0.0019348552,0.00085091795,0.0052367705,0.0016078328],"domain_scores_gemma":[0.99508035,0.0014337323,0.00021299055,0.000511574,0.0018526042,0.00090873596],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.017658042,0.00035783128,0.0006953755,0.0018484549,0.0009474602,0.000550544,0.0018398799,0.00038048075,0.00044373414],"category_scores_gemma":[0.00029650686,0.0002832867,0.0005806192,0.0049420465,0.00091206224,0.0012169019,0.000008771936,0.0035513039,0.000037845264],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001511703,0.0011801743,0.8613329,0.0010231639,0.00017875839,0.00048394935,0.095427796,0.00032736082,0.0032028568,0.007054726,0.0036756834,0.02460095],"study_design_scores_gemma":[0.00083031994,0.0002576596,0.96460134,0.0008674011,0.00004239429,3.3400465e-7,0.026889108,0.00019511778,0.000513276,0.003064305,0.0024385008,0.00030027097],"about_ca_topic_score_codex":0.050047185,"about_ca_topic_score_gemma":0.16047,"teacher_disagreement_score":0.110422805,"about_ca_system_score_codex":0.00060197216,"about_ca_system_score_gemma":0.0019645167,"threshold_uncertainty_score":0.9999619},"labels":[],"label_agreement":null},{"id":"W4392113506","doi":"10.1016/j.trpro.2024.02.029","title":"Towards a more inclusive mobility: participatory mobility planning at a metropolitan scale","year":2024,"lang":"en","type":"article","venue":"Transportation research procedia","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Fundação para a Ciência e a Tecnologia","keywords":"Metropolitan area; Citizen journalism; Work (physics); Plan (archaeology); Scale (ratio); Participatory planning; Urban planning; Participatory action research; Environmental planning; Sociology; Regional science; Political science; Geography; Engineering; Civil engineering","score_opus":0.11869447754330989,"score_gpt":0.4744524945678842,"score_spread":0.3557580170245743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392113506","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.987073,0.002314274,0.00023635791,0.0025718822,0.00018591562,0.0012085176,0.00018320298,0.00066481193,0.0055620507],"genre_scores_gemma":[0.99766815,0.000068538124,0.00022456207,0.0000761619,0.00031290692,0.00052000803,0.00010248265,0.000041572544,0.0009856087],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9952492,0.00030678714,0.00056407583,0.0008797931,0.0019639041,0.0010362286],"domain_scores_gemma":[0.99785626,0.00032022703,0.000050797535,0.00035931158,0.0008779049,0.0005354854],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004457854,0.00021159627,0.00029578325,0.00029861127,0.0011681675,0.00018076619,0.00046835866,0.00023283143,0.0009941139],"category_scores_gemma":[0.00035429813,0.00019779854,0.00018631291,0.0017139337,0.0016723222,0.00076889823,0.000025205745,0.00070104835,0.0000998404],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025617366,0.0006265604,0.68404275,0.0013941523,0.000094945644,0.00018253346,0.29078123,0.000036674628,0.0005318852,0.015320143,0.0035854387,0.0031474854],"study_design_scores_gemma":[0.00035759527,0.000118972064,0.8881208,0.00021400681,0.00006961916,2.09052e-7,0.07747622,0.00033559208,0.001443197,0.010318392,0.021148032,0.00039737878],"about_ca_topic_score_codex":0.009010453,"about_ca_topic_score_gemma":0.024789106,"teacher_disagreement_score":0.21330501,"about_ca_system_score_codex":0.0013377463,"about_ca_system_score_gemma":0.0016465876,"threshold_uncertainty_score":0.9999191},"labels":[],"label_agreement":null},{"id":"W4392119476","doi":"10.1016/j.tra.2024.104007","title":"A joint analysis of accessibility and household trip frequencies by travel mode","year":2024,"lang":"en","type":"article","venue":"Transportation Research Part A Policy and Practice","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"Wellcome Trust","keywords":"TRIPS architecture; Ordered probit; Mode choice; Travel behavior; Econometrics; Complementarity (molecular biology); Probit; Trip generation; Transport engineering; Neighbourhood (mathematics); Geography; Travel survey; Demographic economics; Economics; Public transport; Engineering; Mathematics","score_opus":0.20589820335905093,"score_gpt":0.48572325647736586,"score_spread":0.27982505311831496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392119476","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97948796,0.002557616,0.00065687066,0.008405474,0.000038883212,0.00040098254,0.0009092879,0.00006824037,0.007474701],"genre_scores_gemma":[0.9962314,0.0024940232,0.00015180385,0.00012002233,0.000088201836,0.000035831617,0.000086308,0.000009531456,0.0007829053],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9972234,0.00069334323,0.00045993488,0.00044858214,0.0007934032,0.0003813741],"domain_scores_gemma":[0.997134,0.0021005531,0.000090139845,0.0001972421,0.00024211624,0.00023595999],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0049211173,0.00011788866,0.00029981072,0.0005190188,0.0004191992,0.00023702507,0.0001468501,0.00013075444,0.00013970012],"category_scores_gemma":[0.001024859,0.00010619562,0.000103524966,0.0026357856,0.00095648353,0.001428006,0.000005307719,0.00036455694,0.000001248479],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017535567,0.0014979587,0.27813616,0.002370679,0.0037799932,0.00012992711,0.338443,0.0001338746,0.018319257,0.32054904,0.00925087,0.025635682],"study_design_scores_gemma":[0.00057115016,0.00016289367,0.8684246,0.00011479122,0.0015557836,5.4803957e-7,0.017363613,0.0008676026,0.0014782547,0.012302402,0.09674069,0.00041768394],"about_ca_topic_score_codex":0.081640095,"about_ca_topic_score_gemma":0.019772857,"teacher_disagreement_score":0.5902884,"about_ca_system_score_codex":0.00005633031,"about_ca_system_score_gemma":0.00056141266,"threshold_uncertainty_score":0.99811375},"labels":[],"label_agreement":null},{"id":"W4392131268","doi":"10.1007/s11116-024-10469-6","title":"How does public transit serve post-secondary students in Toronto? A utility-based analysis of accessibility by transit for non-mandatory trips","year":2024,"lang":"en","type":"article","venue":"Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"TRIPS architecture; Transit (satellite); Public transport; Transport engineering; Urban transit; Rapid transit; Business; Transit system; Regional science; Engineering; Geography","score_opus":0.017977982564841958,"score_gpt":0.32986891098059606,"score_spread":0.3118909284157541,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392131268","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9813385,0.00080807105,0.011457529,0.0013773402,0.00024197494,0.0012205162,0.0032341043,0.00012213984,0.00019981779],"genre_scores_gemma":[0.99688935,0.000037906466,0.0001522697,0.00009932493,0.000038156693,0.00013835881,0.0024794326,0.000021923583,0.0001432602],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970477,0.00016151664,0.000816172,0.0007730754,0.0007602459,0.00044125092],"domain_scores_gemma":[0.99885035,0.00023251373,0.00014516464,0.00031904067,0.00028000862,0.00017293566],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018356933,0.00025896446,0.00063708896,0.0002986749,0.00019073255,0.00026292072,0.0005390416,0.0002608003,0.00084178965],"category_scores_gemma":[0.000027431113,0.0002253111,0.0006163318,0.0013726196,0.00025672867,0.0020396532,0.0000015032953,0.00020362675,4.1917963e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047218648,0.0008009113,0.9646851,0.0011104628,0.00057113497,0.000007772111,0.02110921,0.000012672757,0.0015970437,0.00019606095,0.00004741609,0.009390025],"study_design_scores_gemma":[0.0011761423,0.00007891138,0.98857844,0.000055430115,0.001042871,5.9967467e-9,0.004890143,0.0008734338,0.001166232,0.0002653663,0.001590777,0.00028222692],"about_ca_topic_score_codex":0.016596409,"about_ca_topic_score_gemma":0.60181254,"teacher_disagreement_score":0.5852161,"about_ca_system_score_codex":0.00025064958,"about_ca_system_score_gemma":0.00060920994,"threshold_uncertainty_score":0.98995215},"labels":[],"label_agreement":null},{"id":"W4392131907","doi":"10.1007/s11116-024-10468-7","title":"Developing and microsimulating demographic dynamics for an integrated urban model: a comparison between logistic regression and machine learning techniques","year":2024,"lang":"en","type":"article","venue":"Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Logistic regression; Dynamics (music); Machine learning; Artificial intelligence; Regression analysis; Computer science; Econometrics; Psychology; Economics","score_opus":0.08435851006234286,"score_gpt":0.379293510816946,"score_spread":0.29493500075460316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392131907","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65555966,0.00043338034,0.34329608,0.00009671662,0.000021463742,0.0002656159,0.00005212996,0.00025630734,0.000018663903],"genre_scores_gemma":[0.97757626,0.000057597383,0.02139532,0.000009335326,0.000040009436,0.000018321578,0.00085245323,0.000018407658,0.00003227481],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990297,0.000051270425,0.00030179438,0.00030981188,0.000125036,0.00018237786],"domain_scores_gemma":[0.9996045,0.00013411781,0.00007185304,0.000050502327,0.00006859019,0.00007042604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005204897,0.00012924774,0.00019107288,0.00011387101,0.0004613812,0.00013217417,0.00006664917,0.0001308124,0.0000018005906],"category_scores_gemma":[0.000023186592,0.000115079,0.000035042554,0.00026247147,0.00015969828,0.00039239752,0.0000017849168,0.00019693983,6.94728e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025072031,0.000010287934,0.9495454,0.00020936226,0.000011851416,8.895265e-7,0.008355136,0.00015814333,0.00030280792,0.0039778906,0.0000020973453,0.037401054],"study_design_scores_gemma":[0.00033007434,0.00015586028,0.36285973,0.000751859,0.00024072465,1.513334e-7,0.0024183532,0.6180682,0.0008165049,0.013043335,0.00082916784,0.00048601296],"about_ca_topic_score_codex":0.0013861698,"about_ca_topic_score_gemma":0.018140405,"teacher_disagreement_score":0.6179101,"about_ca_system_score_codex":0.00005093509,"about_ca_system_score_gemma":0.00007454416,"threshold_uncertainty_score":0.99977595},"labels":[],"label_agreement":null},{"id":"W4392243958","doi":"10.1155/2024/8681100","title":"A Bus‐Service‐Based Zone Division Approach for the Spatial Analysis of Public Bus: A Case Study in South China","year":2024,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Basic and Applied Basic Research Foundation of Guangdong Province; Shenzhen Science and Technology Innovation Program; Science and Technology Planning Project of Guangdong Province","keywords":"Division (mathematics); China; Service (business); Transport engineering; Public transport; Computer science; Geography; Engineering; Business; Mathematics; Marketing; Archaeology","score_opus":0.03967985739203198,"score_gpt":0.33932080462073616,"score_spread":0.29964094722870416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392243958","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7786577,0.00032858615,0.22006159,0.00024919678,0.00014102904,0.00049754983,0.00004299711,0.000012448766,0.000008953078],"genre_scores_gemma":[0.99786514,0.000012150405,0.0019475113,0.000015082589,0.0000787257,0.000023359502,0.00004052235,0.000010253527,0.0000072600365],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99816406,0.000109906934,0.0007948832,0.00020644558,0.00053760345,0.00018707737],"domain_scores_gemma":[0.99885887,0.00022211728,0.0003867695,0.0001380773,0.0003202144,0.00007393248],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001763144,0.00011605241,0.00036219184,0.00047820175,0.00017749055,0.00006576665,0.0002188437,0.00005998262,0.00003018445],"category_scores_gemma":[0.00004624823,0.00008026355,0.00031047477,0.0023411422,0.000067249,0.0006235206,0.0000013103054,0.00020262049,9.017075e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031419986,0.0010145052,0.6488903,0.00018897804,0.00059285667,0.00022424583,0.17428085,0.15135303,0.00013159336,0.000088031265,0.0000011647074,0.022920208],"study_design_scores_gemma":[0.0011711138,0.00018160885,0.93247736,0.000044001372,0.0013251957,5.9455033e-7,0.051309917,0.013225757,0.000021102576,0.0000889608,0.000050912757,0.00010346244],"about_ca_topic_score_codex":0.0033493575,"about_ca_topic_score_gemma":0.08785395,"teacher_disagreement_score":0.28358704,"about_ca_system_score_codex":0.0000649423,"about_ca_system_score_gemma":0.00025512022,"threshold_uncertainty_score":0.92879033},"labels":[],"label_agreement":null},{"id":"W4392307924","doi":"10.1016/bs.atpp.2023.12.002","title":"Economic and social impacts of public transport investments: A scoping literature review","year":2024,"lang":"en","type":"book-chapter","venue":"Advances in transport policy and planning","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Disinvestment; Public transport; Equity (law); Public economics; Business; Economic impact analysis; Public health; Social benefits; Transport infrastructure; Private transport; Public infrastructure; Economic growth; Economics; Political science; Transport engineering; Engineering; Foreign direct investment","score_opus":0.03315725633081555,"score_gpt":0.3535611360708396,"score_spread":0.32040387974002404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392307924","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015311266,0.7232535,0.000009874059,0.0011349979,0.0002635742,0.0007759279,0.00065773237,0.00007513139,0.258518],"genre_scores_gemma":[0.4115397,0.5749751,0.00009604243,0.0008311534,0.00089966226,0.000027563432,0.0005049134,0.000066860135,0.011058997],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99782145,0.000031077103,0.00083544746,0.0005876791,0.00026223387,0.00046211504],"domain_scores_gemma":[0.9992376,0.00009493992,0.0002973581,0.00014951183,0.000043040123,0.00017754803],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000743595,0.0004052,0.0008988214,0.00038706532,0.00021580709,0.000045546298,0.0002239158,0.00041767285,0.00008300308],"category_scores_gemma":[0.000015231164,0.0003984771,0.00017642298,0.00015545987,0.0006677976,0.0010496929,0.000010727543,0.0005817582,0.000001865635],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009189472,0.000046450008,0.189524,0.058864895,0.00023235341,0.0004886024,0.045431465,0.0000067538354,0.0000036349734,0.68680114,0.00006942619,0.018439373],"study_design_scores_gemma":[0.001091222,0.00011503237,0.029511802,0.21037479,0.0006286669,0.000014557038,0.0006408436,0.0000028146937,0.000008660502,0.14751534,0.6082557,0.0018406083],"about_ca_topic_score_codex":0.0004687263,"about_ca_topic_score_gemma":0.0058731697,"teacher_disagreement_score":0.60818624,"about_ca_system_score_codex":0.00011056374,"about_ca_system_score_gemma":0.0005583967,"threshold_uncertainty_score":0.9998467},"labels":[],"label_agreement":null},{"id":"W4392343246","doi":"10.1080/17482631.2024.2320183","title":"Supporting children’s participation in active travel: developing an online road safety intervention through a collaborative integrated knowledge translation approach","year":2024,"lang":"en","type":"article","venue":"International Journal of Qualitative Studies on Health and Well-Being","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Children’s Health Research Institute; Lawson Health Research Institute; University of Waterloo; Western University","funders":"Canadian Institutes of Health Research","keywords":"Thematic analysis; Intervention (counseling); Promotion (chess); Medical education; Psychology; Knowledge translation; Knowledge management; Public relations; Engineering; Qualitative research; Medicine; Nursing; Political science; Sociology; Computer science","score_opus":0.1842083719704073,"score_gpt":0.5415097589794113,"score_spread":0.35730138700900405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392343246","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9795489,0.0033318899,0.009864303,0.004952905,0.0007495211,0.00041348184,0.000044953755,0.000026169104,0.0010679207],"genre_scores_gemma":[0.99568254,0.0015436689,0.0020655664,0.00024650223,0.00029154634,0.000012964799,0.000119118005,0.000011425183,0.000026678219],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9965147,0.0012163927,0.0012696673,0.00028306182,0.0004527495,0.00026346932],"domain_scores_gemma":[0.99774265,0.00071563927,0.00056833454,0.00004128256,0.0008185922,0.00011350554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003981543,0.00016690296,0.00038884894,0.0003023125,0.0002882181,0.00009573794,0.00015541933,0.00006579493,0.000009445649],"category_scores_gemma":[0.0006482309,0.00014018352,0.000093973365,0.0005107426,0.00021473557,0.0011659217,0.000013943438,0.0003831029,0.0000010096594],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051260524,0.0003111319,0.0035583647,0.00009913024,0.00027176118,0.0000063315856,0.84457964,0.000038585065,0.000006184422,0.01534265,0.00001931491,0.13525431],"study_design_scores_gemma":[0.0014793621,0.0006604031,0.058662914,0.0022539576,0.000039164184,0.000002631953,0.91095454,0.0011175479,0.00015708737,0.02379907,0.00060122984,0.00027208147],"about_ca_topic_score_codex":0.0008555096,"about_ca_topic_score_gemma":0.0051199463,"teacher_disagreement_score":0.13498223,"about_ca_system_score_codex":0.00072271464,"about_ca_system_score_gemma":0.0006544583,"threshold_uncertainty_score":0.57165176},"labels":[],"label_agreement":null},{"id":"W4392345021","doi":"10.1016/j.envint.2024.108541","title":"The ABC of mobility","year":2024,"lang":"en","type":"article","venue":"Environment International","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Bundesministerium für Klimaschutz, Umwelt, Energie, Mobilität, Innovation und Technologie","keywords":"Public transport; Car ownership; Modal shift; Economic geography; Sustainable transport; Geography; Private transport; Passenger transport; Business; Regional science; Demographic economics; Economic growth; Transport engineering; Sustainability; Economics; Engineering","score_opus":0.013486044256654388,"score_gpt":0.291771870166661,"score_spread":0.2782858259100066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392345021","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8956022,0.0008954608,0.0006111659,0.0057909535,0.0013512541,0.00013562539,0.000035410332,0.00004099474,0.095536925],"genre_scores_gemma":[0.99401367,0.00017345465,0.000042146512,0.000016004995,0.00014383937,0.000007084929,0.0000057919588,0.00000202443,0.005596012],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994045,0.000023019118,0.0001117782,0.00009663755,0.00029622827,0.00006786007],"domain_scores_gemma":[0.999776,0.00010171045,0.000018003511,0.00007950647,0.000005306134,0.000019449915],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004144683,0.000028946806,0.000028348974,0.00001047846,0.00011491185,0.000037102425,0.00021220994,0.000019009845,0.0020682383],"category_scores_gemma":[0.000017512142,0.000019995012,0.000048063386,0.000026032123,0.00028400868,0.00009824735,0.000016503005,0.00004963834,0.00006415434],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003455833,0.00031820463,0.6135455,0.00002077142,0.00015732096,0.000007392184,0.0075884317,0.00007271387,0.0007596833,0.26393664,0.004881791,0.108677045],"study_design_scores_gemma":[0.000030271129,0.00000509346,0.18709332,0.000006468915,0.000004652905,3.6333358e-8,0.0002661829,0.00015090754,0.00022365504,0.008627182,0.80355823,0.000033986307],"about_ca_topic_score_codex":0.00017138,"about_ca_topic_score_gemma":0.000093540926,"teacher_disagreement_score":0.79867643,"about_ca_system_score_codex":0.000066584136,"about_ca_system_score_gemma":0.000023573035,"threshold_uncertainty_score":0.998844},"labels":[],"label_agreement":null},{"id":"W4392356183","doi":"10.21203/rs.3.rs-3912200/v1","title":"Urban Active Transportation Behaviour is Sensitive to the Fresh Start Effect","year":2024,"lang":"en","type":"preprint","venue":"Research Square","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Winnipeg; Manitoba Hydro; University of Manitoba","funders":"","keywords":"Business; Transport engineering; Environmental planning; Environmental science; Engineering","score_opus":0.05359971518249766,"score_gpt":0.4229003464721741,"score_spread":0.36930063128967644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392356183","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97651166,0.00028499513,0.000028416547,0.009636246,0.0006615965,0.003589881,0.0024197258,0.00016602867,0.006701449],"genre_scores_gemma":[0.99484456,0.000058820835,0.000020674772,0.00009858941,0.00096233486,0.00043029524,0.00031375774,0.00004187012,0.0032290951],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9941598,0.0013295495,0.00031937996,0.0010060151,0.0023320974,0.00085316005],"domain_scores_gemma":[0.99747485,0.00064871955,0.00006522886,0.000669786,0.0007868726,0.00035454257],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0041218386,0.00028589874,0.0003641573,0.0002848774,0.001011926,0.00047276847,0.0007764798,0.0004411954,0.0005968147],"category_scores_gemma":[0.0002335177,0.00020897128,0.00036010056,0.0009883605,0.0004966754,0.00012834609,0.00018190617,0.0027245674,0.00038319087],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007007932,0.0002978743,0.30681217,0.0016191469,0.00034418856,0.00041804067,0.48546508,0.00004276834,0.00021355614,0.0018792064,0.18853892,0.013668259],"study_design_scores_gemma":[0.00028092889,0.00039260605,0.9194386,0.0013906773,0.00021811138,1.3838152e-7,0.028626982,0.000032191765,0.005837473,0.0041339733,0.038975112,0.0006732159],"about_ca_topic_score_codex":0.034121238,"about_ca_topic_score_gemma":0.07946408,"teacher_disagreement_score":0.61262643,"about_ca_system_score_codex":0.0005741683,"about_ca_system_score_gemma":0.0010743455,"threshold_uncertainty_score":0.9995762},"labels":[],"label_agreement":null},{"id":"W4392401667","doi":"10.1177/03611981241230309","title":"Walkable and Safe Route to Transit for Pedestrians in Greater Montréal: An Environmental Justice Approach","year":2024,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Transport engineering; Transit (satellite); Environmental justice; Bus rapid transit; Public transport; Environmental planning; Business; Engineering; Environmental science; Political science","score_opus":0.11236151695694233,"score_gpt":0.40801097481373,"score_spread":0.29564945785678765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392401667","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98666954,0.0006271373,0.0045911376,0.0052109226,0.00037642106,0.001958436,0.00021781588,0.000032879998,0.00031568814],"genre_scores_gemma":[0.9944229,0.0007902408,0.0028297857,0.000053899505,0.00029332426,0.00015160836,0.000036678262,0.000049850925,0.001371682],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9940544,0.00094776985,0.0010545894,0.0006014327,0.0023688194,0.0009730384],"domain_scores_gemma":[0.99779123,0.0006947665,0.00010883576,0.0003044047,0.0005009439,0.0005998235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006693829,0.0002258705,0.00040310968,0.0009090432,0.0008973473,0.00035035494,0.00079813175,0.00021777097,0.00017169236],"category_scores_gemma":[0.000082203536,0.00017759333,0.00026263294,0.001544828,0.000652002,0.0013084227,0.000003812683,0.0013410556,0.000007451469],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0048550554,0.000924695,0.82817847,0.0014026513,0.00020728723,0.0002870371,0.11488551,0.00245649,0.0035132412,0.0072472775,0.0031843674,0.032857932],"study_design_scores_gemma":[0.0012504834,0.00056799036,0.9465094,0.00026966658,0.00012532622,2.5574315e-7,0.017384296,0.00046241464,0.0002216598,0.0030357884,0.029921062,0.00025161085],"about_ca_topic_score_codex":0.04108719,"about_ca_topic_score_gemma":0.23495556,"teacher_disagreement_score":0.19386837,"about_ca_system_score_codex":0.00036989545,"about_ca_system_score_gemma":0.00063523755,"threshold_uncertainty_score":0.9652983},"labels":[],"label_agreement":null},{"id":"W4392499111","doi":"10.3390/buildings14030707","title":"Accessibility of the Built Environment for People with Sensory Disabilities—Review Quality and Representation of Evidence","year":2024,"lang":"en","type":"article","venue":"Buildings","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Accessibility Standards Canada; CNIB; Rick Hansen Foundation","keywords":"Universal design; Sensory system; Quality (philosophy); Assistive technology; Representation (politics); Human–computer interaction; Web accessibility; Psychology; Built environment; Sensory cue; Computer science; Applied psychology; Cognitive psychology; Engineering; World Wide Web; Political science","score_opus":0.1594013292966459,"score_gpt":0.41961731809271563,"score_spread":0.2602159887960697,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392499111","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9873263,0.0076501714,0.0006678068,0.003204108,0.00006646407,0.0008862024,0.00003348541,0.00002019954,0.00014521217],"genre_scores_gemma":[0.9974748,0.0016044131,0.00049055467,0.000047754802,0.000030697505,0.000045518573,0.0000014166832,0.000005315657,0.00029955604],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986702,0.00015753708,0.00036748132,0.00031918794,0.00035935696,0.00012622745],"domain_scores_gemma":[0.9985364,0.0009009896,0.00015044179,0.00031246184,0.00006047861,0.000039201517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015374002,0.00007897914,0.00025095127,0.0000134705415,0.00012381018,0.000026364538,0.00022200077,0.000038363247,0.00009473267],"category_scores_gemma":[0.00069706765,0.00004507095,0.0001079608,0.00023411734,0.0006478941,0.0003651139,0.00004067916,0.000061239014,3.098232e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037809357,0.000047449423,0.9811135,0.004490803,0.000017263523,6.5989475e-8,0.005243126,0.0000023359387,0.0010123447,0.0017275872,0.00011800638,0.00618969],"study_design_scores_gemma":[0.000102264545,0.00003575699,0.98624206,0.0016657414,0.00011730256,1.531395e-7,0.0015377374,0.000013377034,0.0035811989,0.0041333707,0.0024644802,0.00010657806],"about_ca_topic_score_codex":0.004107317,"about_ca_topic_score_gemma":0.001369343,"teacher_disagreement_score":0.010148423,"about_ca_system_score_codex":0.00005015859,"about_ca_system_score_gemma":0.00010229487,"threshold_uncertainty_score":0.6209062},"labels":[],"label_agreement":null},{"id":"W4392619673","doi":"10.1016/j.jtrangeo.2024.103833","title":"Evaluating the impacts of supply-demand dynamics and distance decay effects on public transit project assessment: A study of healthcare accessibility and inequalities","year":2024,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan; Western University","funders":"","keywords":"Transit (satellite); Public transport; Transport engineering; Health care; Inequality; Public healthcare; Business; Supply and demand; Health impact assessment; Occupational safety and health; Public health; Engineering; Economics; Medicine; Economic growth; Microeconomics","score_opus":0.04550303046095726,"score_gpt":0.40528647537043655,"score_spread":0.3597834449094793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392619673","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99318,0.003996018,0.00034641154,0.0011890035,0.00019386322,0.00088995526,0.00009209813,0.00001794399,0.00009470017],"genre_scores_gemma":[0.99922824,0.0005075296,0.00013653621,0.00002203186,0.00007094348,0.000011767952,0.0000060575476,0.000012685154,0.000004195779],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9967853,0.0005891249,0.001010862,0.00029547757,0.0010225881,0.0002966829],"domain_scores_gemma":[0.9981786,0.0006582959,0.0004779881,0.00021361685,0.00032355974,0.00014792338],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005106604,0.00019966137,0.00058596756,0.0003504733,0.0003042188,0.00011222699,0.00031399672,0.000095526804,0.00000878619],"category_scores_gemma":[0.000043543052,0.00012787596,0.00024598808,0.0009245607,0.00047416185,0.0006930263,0.000008423817,0.00044094597,1.3495014e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026745218,0.00031676717,0.9609715,0.001541484,0.00019744955,0.000017881366,0.025109705,0.0000045249203,0.000046680318,0.0009572025,0.0000016054923,0.010567759],"study_design_scores_gemma":[0.0008089412,0.002141429,0.984368,0.0006069799,0.0002900994,0.0000016547128,0.0100877425,0.0000866452,0.0000620585,0.0014055881,0.000018335066,0.00012248807],"about_ca_topic_score_codex":0.002537728,"about_ca_topic_score_gemma":0.021536801,"teacher_disagreement_score":0.02339655,"about_ca_system_score_codex":0.00005039128,"about_ca_system_score_gemma":0.00051786704,"threshold_uncertainty_score":0.9963176},"labels":[],"label_agreement":null},{"id":"W4392643895","doi":"10.5198/jtlu.2024.2364","title":"If you build it, who will come? Exploring the effects of rapid transit on residential movements in Metro Vancouver","year":2024,"lang":"en","type":"article","venue":"Journal of Transport and Land Use","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Transit (satellite); Transport engineering; Light rail transit; Rail transit; Public transport; Geography; Regional science; Engineering","score_opus":0.02256759467880678,"score_gpt":0.27453072866287265,"score_spread":0.2519631339840659,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392643895","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970371,0.0009229147,0.00011729127,0.0004181378,0.0011505166,0.0001614706,0.0000111906165,0.000009014036,0.00017235205],"genre_scores_gemma":[0.9979789,0.0013849863,0.000019134122,0.00007542158,0.00026205572,0.0000029762434,0.0000012876786,0.000009747158,0.00026545415],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985979,0.0000754209,0.00048489982,0.00014607003,0.0004927082,0.0002029604],"domain_scores_gemma":[0.999416,0.00023790021,0.00010442493,0.00009811867,0.000049367034,0.00009417698],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085068966,0.00012016988,0.000312109,0.0001680863,0.00011549925,0.000055847708,0.00019443133,0.000060609702,0.00005993943],"category_scores_gemma":[0.000021941843,0.0000746606,0.00018493118,0.00028707075,0.00011402186,0.000902835,0.0000030006147,0.00030667798,2.399612e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031582126,0.00011687688,0.9835614,0.0002257532,0.00010427346,0.00024282087,0.012650285,0.00003268508,0.000119261545,0.00006600287,0.00035991648,0.0022048906],"study_design_scores_gemma":[0.0011900895,0.00025765985,0.9710044,0.000853871,0.00014888696,3.41898e-7,0.0013552897,0.000010606607,0.000798565,0.00043553565,0.023805892,0.00013882693],"about_ca_topic_score_codex":0.001327601,"about_ca_topic_score_gemma":0.021879563,"teacher_disagreement_score":0.023445977,"about_ca_system_score_codex":0.00003059927,"about_ca_system_score_gemma":0.00007864231,"threshold_uncertainty_score":0.9959686},"labels":[],"label_agreement":null},{"id":"W4392693902","doi":"10.1123/jsep.2023-0276","title":"Does Participating in a Variety of Activities at a Variety of Locations or With Different People Predict Physical Activity Behavior Among Adolescents? The Mediating Role of Perceived Variety","year":2024,"lang":"en","type":"article","venue":"Journal of Sport and Exercise Psychology","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke; Université de Montréal; Centre Hospitalier de l’Université de Montréal; University of Toronto","funders":"Fondation de la recherche en santé du Nouveau-Brunswick","keywords":"Variety (cybernetics); Physical activity; Psychology; Mediation; Perception; Developmental psychology; Social psychology; Medicine; Physical therapy","score_opus":0.014678286239648277,"score_gpt":0.3136890876784338,"score_spread":0.2990108014387855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392693902","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99923295,0.00008949412,0.000048530073,0.00011101414,0.00016813441,0.00026123994,0.000022409615,0.000008477687,0.00005776506],"genre_scores_gemma":[0.9995831,0.0001894415,0.00005642062,0.0000047528606,0.00009691819,0.000036616122,0.000002285137,0.000010041188,0.00002040718],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99860924,0.000045522756,0.00052763766,0.00020162392,0.00038760077,0.00022837611],"domain_scores_gemma":[0.9989822,0.00010183864,0.0005439425,0.0001644491,0.0001165297,0.00009107788],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006468933,0.00013973008,0.00061884336,0.00008299726,0.00013557488,0.000019535864,0.00020533479,0.00011035229,0.000065981134],"category_scores_gemma":[0.00001806247,0.00006894003,0.00014541415,0.00031712957,0.0007182373,0.00033055808,0.00003406161,0.00035089516,6.272276e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007219965,0.00094104,0.9324424,0.00016357483,0.000042218904,0.000006486902,0.061603628,0.000008295611,0.0013671389,0.00003050833,0.0000045869365,0.0026680876],"study_design_scores_gemma":[0.0004124276,0.0001729696,0.9886958,0.0004202977,0.00028849524,0.000002042992,0.008791046,0.00022398343,0.00073483225,0.0001684053,0.000009338124,0.00008034143],"about_ca_topic_score_codex":0.001420262,"about_ca_topic_score_gemma":0.0061886073,"teacher_disagreement_score":0.05625338,"about_ca_system_score_codex":0.000042913045,"about_ca_system_score_gemma":0.00016212394,"threshold_uncertainty_score":0.34533882},"labels":[],"label_agreement":null},{"id":"W4392711513","doi":"10.20944/preprints202403.0656.v1","title":"Assessment of Sustainable Mobility Patterns of University Students and Staff: Case of a LMIC","year":2024,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Transport Canada","funders":"","keywords":"Taxis; Public transport; Flexibility (engineering); Business; Sustainable transport; Mode of transport; Sustainability; Private transport; Transport engineering; Public health; Medicine; Engineering; Nursing; Economics","score_opus":0.07160187802807344,"score_gpt":0.39799772640717807,"score_spread":0.3263958483791046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392711513","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99407125,0.00007862858,0.000045021563,0.000042986954,0.00013727117,0.0009541437,0.00022399437,0.000036580197,0.0044101034],"genre_scores_gemma":[0.9983523,0.00010907672,0.000048820468,0.0000014878384,0.000020085301,0.0000073685737,0.000009807822,0.000010160642,0.0014408904],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976094,0.00036740815,0.00053952134,0.00070167176,0.00051576836,0.00026622537],"domain_scores_gemma":[0.9981409,0.00012360654,0.00045298893,0.0007651132,0.00039635404,0.00012109534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025949618,0.00018769277,0.00056356605,0.00015255873,0.00010411328,0.000013956851,0.00067054585,0.0002415587,0.00042438676],"category_scores_gemma":[0.00009885984,0.00020220362,0.00020145881,0.00021811199,0.00048780607,0.00011160013,0.002157503,0.00048033107,0.0000017301935],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004057604,0.0006590154,0.9843217,0.0029003927,0.00015268572,0.0002143978,0.0089766625,0.000027288852,0.00018745832,0.0024515062,0.000001309788,0.00006700028],"study_design_scores_gemma":[0.00023916888,0.00002494686,0.9676247,0.0001989278,0.0001932408,7.0198655e-7,0.026618429,0.000013384897,0.0012225382,0.0036313587,0.000082730054,0.00014984423],"about_ca_topic_score_codex":0.0660047,"about_ca_topic_score_gemma":0.0045516286,"teacher_disagreement_score":0.06145307,"about_ca_system_score_codex":0.00028220104,"about_ca_system_score_gemma":0.0007589239,"threshold_uncertainty_score":0.9402149},"labels":[],"label_agreement":null},{"id":"W4392735370","doi":"10.1142/9789811271663_0005","title":"Why Do COVID-19 Infection Rates Vary Between Neighborhoods in Toronto, ON Canada? The Role of Housing and Transportation","year":2024,"lang":"en","type":"book-chapter","venue":"World Scientific series on public policy and technological innovation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Geography; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Demography; Environmental health; Medicine; Virology; Sociology; Outbreak; Infectious disease (medical specialty)","score_opus":0.03930131763723422,"score_gpt":0.31375285949828363,"score_spread":0.2744515418610494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392735370","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49861923,0.0014524424,0.000046311754,0.056232143,0.0006051278,0.001254757,0.00052601635,0.00042765005,0.44083634],"genre_scores_gemma":[0.985644,0.000087403314,0.000009435139,0.000643,0.00011485212,0.000018775936,0.00016361059,0.000011622673,0.0133073265],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99818975,0.000040040766,0.000510259,0.00051825,0.00047638605,0.0002652964],"domain_scores_gemma":[0.99911785,0.00017966487,0.00025731398,0.00023243774,0.0001392872,0.00007342084],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012788014,0.0002106624,0.0002716895,0.0007703517,0.00065265805,0.00033734564,0.00020642989,0.00032533496,0.00014171933],"category_scores_gemma":[0.00029037954,0.0001571246,0.000034659344,0.0016306452,0.0016186838,0.00041418467,0.00002417996,0.00043486175,5.18983e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001560707,0.000016791382,0.01599512,0.000037336555,0.000014054011,0.0000015803666,0.00026624693,8.5495844e-7,0.000018028828,0.96128887,0.00033788654,0.02200765],"study_design_scores_gemma":[0.00008039573,0.00004206858,0.021141332,0.00007357499,0.000015366966,1.2734597e-7,0.00032827508,0.000003236043,0.000090316236,0.3889393,0.58912057,0.00016546437],"about_ca_topic_score_codex":0.27765495,"about_ca_topic_score_gemma":0.9194832,"teacher_disagreement_score":0.64182824,"about_ca_system_score_codex":0.0006702033,"about_ca_system_score_gemma":0.00083871424,"threshold_uncertainty_score":0.7271552},"labels":[],"label_agreement":null},{"id":"W4392764131","doi":"10.1080/29941849.2023.2296707","title":"Impacts of sustainable transport interventions: changes in perception over time and spatially towards a new bus rapid transit (BRT) infrastructure in Montréal, Canada","year":2024,"lang":"en","type":"article","venue":"Sustainable Transport and Livability","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto; McGill University","funders":"Social Sciences and Humanities Research Council; Natural Sciences and Engineering Research Council of Canada","keywords":"Bus rapid transit; Transport engineering; Sustainable transport; Psychological intervention; Transit (satellite); Perception; Business; Transit-oriented development; Environmental planning; Public transport; Environmental resource management; Environmental economics; Geography; Environmental science; Sustainability; Engineering; Psychology; Economics","score_opus":0.006655740882826296,"score_gpt":0.24963556310034424,"score_spread":0.24297982221751793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392764131","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.990307,0.005617574,0.000105176,0.0017813807,0.00007591278,0.0013345694,0.000085642234,0.000067396504,0.0006254002],"genre_scores_gemma":[0.99696356,0.0010282461,0.00006026922,0.000042195472,0.000072398936,0.000033432596,0.00008922004,0.00002354245,0.0016871614],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99705386,0.00014028323,0.0007631966,0.0006870686,0.00047552062,0.0008800619],"domain_scores_gemma":[0.9990888,0.00008945146,0.000085962056,0.00025369535,0.00017046556,0.0003116062],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015859995,0.00033091617,0.0006335932,0.00033686825,0.0001978304,0.000065210035,0.00021667947,0.00027403687,0.0011498745],"category_scores_gemma":[0.000069402064,0.00031758897,0.00016323366,0.0011149162,0.0004022458,0.0008936945,0.000014591368,0.000408917,2.401345e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004207834,0.0002121387,0.9413945,0.0059818286,0.000045553585,0.0005406511,0.042491663,0.00011637472,0.000077258934,0.0010143622,0.0001410331,0.007563857],"study_design_scores_gemma":[0.0007829379,0.00013709246,0.9715414,0.00029248133,0.00008841472,0.0000011082435,0.018267408,0.000074680975,0.00002628068,0.003476574,0.004992075,0.0003195211],"about_ca_topic_score_codex":0.9632848,"about_ca_topic_score_gemma":0.9850746,"teacher_disagreement_score":0.030146929,"about_ca_system_score_codex":0.00077160203,"about_ca_system_score_gemma":0.0036894227,"threshold_uncertainty_score":0.99992764},"labels":[],"label_agreement":null},{"id":"W4392774218","doi":"10.1007/s10109-024-00438-z","title":"2023 JGS best paper award and the editors’ choice paper volume 26(1)","year":2024,"lang":"en","type":"article","venue":"Journal of Geographical Systems","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Volume (thermodynamics); Regional science; Geography; Thermodynamics; Physics","score_opus":0.011846221382933151,"score_gpt":0.27638628282152083,"score_spread":0.26454006143858766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392774218","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8611783,0.045827676,0.00013567206,0.05636173,0.028734677,0.0006241106,0.000021471822,0.0001270644,0.006989291],"genre_scores_gemma":[0.9794671,0.00062304916,0.000010193043,0.00013456702,0.018275311,0.0000075874955,5.6042256e-7,0.000014351101,0.0014672928],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99765223,0.0003073931,0.00065157894,0.00020451758,0.0008656079,0.0003186504],"domain_scores_gemma":[0.9986454,0.00054772024,0.00018393878,0.0001552161,0.00021085788,0.0002568666],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003166957,0.00013921896,0.00037498356,0.00011487241,0.00050938583,0.00078461267,0.00039298317,0.00020005132,0.00021408369],"category_scores_gemma":[0.0001917363,0.00007670786,0.00034659795,0.00064600963,0.0010617807,0.0007283383,0.000026376325,0.00058863906,0.00003417593],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016639385,0.00018516686,0.8781248,0.00032722918,0.00052341016,0.00013393446,0.0042004017,0.000012860008,0.00016040323,0.008028395,0.10447279,0.0036642519],"study_design_scores_gemma":[0.00040677236,0.00005910729,0.080296956,0.00023499569,0.00013431428,0.000009869198,0.0010839917,0.00005385119,5.644309e-7,0.0010792,0.916522,0.00011836027],"about_ca_topic_score_codex":0.0088464385,"about_ca_topic_score_gemma":0.0012997091,"teacher_disagreement_score":0.8120492,"about_ca_system_score_codex":0.000033467928,"about_ca_system_score_gemma":0.00014734478,"threshold_uncertainty_score":0.99775374},"labels":[],"label_agreement":null},{"id":"W4392792511","doi":"10.1016/j.tbs.2024.100784","title":"Uncovering suppressed travel: A scoping review of surveys measuring unmet transportation need","year":2024,"lang":"en","type":"review","venue":"Travel Behaviour and Society","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Transport engineering; Business; Environmental health; Engineering; Medicine","score_opus":0.09052714048739678,"score_gpt":0.3776755933822044,"score_spread":0.2871484528948076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392792511","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0009854033,0.99578273,0.00025469493,0.000022581395,0.00031554123,0.0016917527,0.00042897477,0.00008209106,0.00043625283],"genre_scores_gemma":[0.0058068614,0.9932022,0.00013852236,0.000020466521,0.00012828974,0.000082973456,0.00033216985,0.00006213369,0.00022639256],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.99635607,0.00049217534,0.0012904429,0.000680464,0.0007174592,0.00046339747],"domain_scores_gemma":[0.99877924,0.00016767645,0.0004221623,0.0002970427,0.0001388247,0.0001950848],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0039052735,0.0004872233,0.0021554704,0.00006963814,0.00030537616,0.00009900498,0.00037323314,0.0004954256,0.00013593964],"category_scores_gemma":[0.0000373125,0.00042625025,0.0014763247,0.0007251782,0.00033075028,0.00026465347,0.000015495794,0.0005915538,0.0000032985206],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000022174136,0.00012971417,0.0036567945,0.8366979,0.00028695387,0.000015477315,0.012900155,1.9258154e-7,0.000004008536,0.00014379084,0.0002168279,0.14594597],"study_design_scores_gemma":[0.00037643942,0.00004899654,0.016901035,0.9654283,0.008850684,0.0000014996648,0.0024447336,9.950908e-7,0.000018396802,0.00009688787,0.004624642,0.001207391],"about_ca_topic_score_codex":0.0025397916,"about_ca_topic_score_gemma":0.001345542,"teacher_disagreement_score":0.14473857,"about_ca_system_score_codex":0.00012781956,"about_ca_system_score_gemma":0.0009752645,"threshold_uncertainty_score":0.9998189},"labels":[],"label_agreement":null},{"id":"W4392817002","doi":"10.1080/29941849.2024.2314024","title":"Acceptability of built environment interventions to support active travel in 17 Canadian metropolitan areas: findings from the THEPA study","year":2024,"lang":"en","type":"article","venue":"Sustainable Transport and Livability","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; University of Saskatchewan; Université de Montréal; Simon Fraser University","funders":"Canadian Institutes of Health Research","keywords":"Metropolitan area; Psychological intervention; Built environment; Geography; Environmental planning; Regional science; Psychology; Business; Transport engineering; Engineering; Civil engineering; Archaeology","score_opus":0.021839115197654656,"score_gpt":0.31072940720869546,"score_spread":0.28889029201104083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392817002","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9904931,0.00027580452,0.00008530355,0.0018107762,0.00009726729,0.0021475442,0.00039741836,0.000037258545,0.0046554995],"genre_scores_gemma":[0.9987173,0.000017486285,0.00003002385,0.000041611474,0.000048486872,0.00013086664,0.00004629872,0.000014899138,0.00095302175],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971616,0.00027483422,0.00067829347,0.0007485402,0.00042302525,0.0007136787],"domain_scores_gemma":[0.9986574,0.00028705932,0.000046135825,0.00053449045,0.00008895512,0.00038594773],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0028815216,0.00023664172,0.00042791132,0.00018251683,0.0004651559,0.00008230474,0.00051890634,0.00013094442,0.004532957],"category_scores_gemma":[0.00012147016,0.00018641782,0.00026927472,0.0007170817,0.00068160094,0.00052363245,0.000035019046,0.00036285748,0.0000040883915],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007300905,0.00049692113,0.92962784,0.00017020482,0.000046905872,0.000038670772,0.06632142,0.0000030910137,0.0000025878717,0.0015556535,0.000039529798,0.0016242025],"study_design_scores_gemma":[0.00017454968,0.00013961633,0.7815613,0.000021234246,0.000094359595,5.516147e-8,0.21023823,0.0000016482979,0.000027664522,0.005636623,0.0019534174,0.00015129418],"about_ca_topic_score_codex":0.89106566,"about_ca_topic_score_gemma":0.92218375,"teacher_disagreement_score":0.1480665,"about_ca_system_score_codex":0.001327992,"about_ca_system_score_gemma":0.00092153635,"threshold_uncertainty_score":0.99637705},"labels":[],"label_agreement":null},{"id":"W4392852027","doi":"10.3390/su16062414","title":"Rethinking Public Transit Networks Using Climate Change Mitigation and Social Justice Lenses: Great Victoria Area Case Study","year":2024,"lang":"en","type":"article","venue":"Sustainability","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Royal Roads University; University of Victoria","funders":"","keywords":"Social justice; Transit (satellite); Public transport; Climate change; Environmental justice; Economic Justice; Environmental planning; Political science; Environmental resource management; Geography; Environmental science; Sociology; Criminology; Geology; Law","score_opus":0.06955399648563824,"score_gpt":0.35037720365878205,"score_spread":0.2808232071731438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392852027","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99376273,0.00046513038,0.00077530544,0.0022420052,0.00080794346,0.0013922489,0.000016623215,0.00030449,0.0002335194],"genre_scores_gemma":[0.9986663,0.000017339684,0.000036279773,0.00006795178,0.0011089607,0.00005070538,0.000010501111,0.000019523059,0.000022458471],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9972315,0.00071622833,0.0003679138,0.0006502846,0.0003770751,0.0006570349],"domain_scores_gemma":[0.99877524,0.00026261006,0.00006972959,0.00021094397,0.0005422091,0.00013927864],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0034855437,0.00020534673,0.0002687185,0.0000979867,0.002528355,0.00062436005,0.00014636962,0.00022224493,0.000058620673],"category_scores_gemma":[0.00023747039,0.00020124471,0.00010634823,0.0007010498,0.0005395502,0.001328196,0.000048632468,0.0004368787,4.3016755e-7],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053157863,0.0002245316,0.5997727,0.0011982465,0.00004754509,0.0016660419,0.3761023,0.000011379461,0.0000024855512,0.006879747,0.000018519335,0.014023367],"study_design_scores_gemma":[0.0013058664,0.000298448,0.25093523,0.00014814551,0.0018231879,0.000065101274,0.65322,0.01316948,0.0000041324356,0.074481614,0.0031544499,0.0013943693],"about_ca_topic_score_codex":0.0073643695,"about_ca_topic_score_gemma":0.019013865,"teacher_disagreement_score":0.34883744,"about_ca_system_score_codex":0.00092654966,"about_ca_system_score_gemma":0.00043476128,"threshold_uncertainty_score":0.9992457},"labels":[],"label_agreement":null},{"id":"W4392857032","doi":"10.32920/25417414.v1","title":"Do New Cycling Facilities Improve Neighbourhood Livability?","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"University of Toronto","keywords":"Neighbourhood (mathematics); Cycling; Conceptualization; Perception; Transport engineering; Pedestrian; Built environment; Geography; Community design; Public transport; Environmental planning; Psychology; Civil engineering; Political science; Engineering; Computer science","score_opus":0.03697469868490708,"score_gpt":0.32586692978848186,"score_spread":0.28889223110357476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392857032","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5452397,0.0029061893,0.00051565946,0.003866981,0.00491013,0.00087047694,0.00018424576,0.0009565068,0.44055012],"genre_scores_gemma":[0.9037659,0.0001027583,0.00065433496,0.00008667231,0.0018529884,0.000029198094,0.000024157145,0.00002576752,0.09345822],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99681747,0.00011848925,0.00062495726,0.0011575249,0.0006709261,0.0006106374],"domain_scores_gemma":[0.99842596,0.00018181455,0.00012216537,0.0007837405,0.00012091694,0.00036541623],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011046854,0.00037646864,0.0005060236,0.00010788403,0.00031517821,0.0009500733,0.000888759,0.0006658394,0.00868235],"category_scores_gemma":[0.00024151384,0.0003295648,0.0005146696,0.00021580327,0.00040195097,0.00020330017,0.00065110775,0.0013019472,0.00033471838],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000116198265,0.00061563775,0.2703236,0.0053910795,0.00073902705,0.0000743813,0.23699175,0.000118007934,0.00024393907,0.19332644,0.017545294,0.27451462],"study_design_scores_gemma":[0.00016407673,0.00002658483,0.008466074,0.00022802177,0.0001431387,8.676546e-8,0.010449011,0.00006380913,0.0002670689,0.94581604,0.033533312,0.0008427827],"about_ca_topic_score_codex":0.0822195,"about_ca_topic_score_gemma":0.021224651,"teacher_disagreement_score":0.75248957,"about_ca_system_score_codex":0.00026839177,"about_ca_system_score_gemma":0.0020816764,"threshold_uncertainty_score":0.99991566},"labels":[],"label_agreement":null},{"id":"W4392857061","doi":"10.32920/25418038.v1","title":"Toronto Transit Commission and COVID-19: Statistical and Spatial Analysis of Ridership Changes During the Pandemic","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"Mitacs","keywords":"Census; Geography; Pandemic; TRIPS architecture; Downtown; Coronavirus disease 2019 (COVID-19); Exploratory analysis; Transport engineering; Statistics; Demographic economics; Demography; Engineering; Economics; Medicine; Computer science; Mathematics; Population","score_opus":0.05399257643311241,"score_gpt":0.3660565660391968,"score_spread":0.3120639896060844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392857061","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9734281,0.0047281664,0.00970114,0.0049309162,0.00017605512,0.00052309386,0.00042820245,0.000119878016,0.005964468],"genre_scores_gemma":[0.99793667,0.0009551479,0.000054603395,0.000062099934,0.00009818949,0.000011492923,0.000030702024,0.0000065121467,0.00084459735],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986409,0.00019684456,0.00025563786,0.00041830205,0.00030566592,0.0001826426],"domain_scores_gemma":[0.9990837,0.0003605877,0.00007996229,0.00020292772,0.00003252727,0.00024028178],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00093733286,0.00014939507,0.00040409729,0.00006363564,0.0002878205,0.00010873968,0.00019511586,0.00020936939,0.0014995723],"category_scores_gemma":[0.000104615596,0.00009822322,0.00008628449,0.00013737178,0.0005946294,0.00003915509,0.00013601154,0.00027161813,2.5263247e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014757161,0.000055435536,0.91881907,0.0017782793,0.00082752266,0.000009337992,0.06461945,0.00005121369,0.00009723928,0.003178308,0.00020527927,0.01021132],"study_design_scores_gemma":[0.00027715415,0.0000316135,0.96809375,0.00008555775,0.0033042105,2.0444328e-7,0.0109482575,0.0023605227,0.0000395674,0.012525619,0.0019839865,0.00034955042],"about_ca_topic_score_codex":0.24178228,"about_ca_topic_score_gemma":0.8389088,"teacher_disagreement_score":0.59712654,"about_ca_system_score_codex":0.00012187253,"about_ca_system_score_gemma":0.00021374083,"threshold_uncertainty_score":0.9994132},"labels":[],"label_agreement":null},{"id":"W4392861944","doi":"10.32920/25418038","title":"Toronto Transit Commission and COVID-19: Statistical and Spatial Analysis of Ridership Changes During the Pandemic","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"Mitacs","keywords":"Census; Geography; Pandemic; TRIPS architecture; Coronavirus disease 2019 (COVID-19); Downtown; Exploratory analysis; Transport engineering; Statistics; Demographic economics; Demography; Engineering; Medicine; Economics; Computer science; Mathematics; Population","score_opus":0.05399257643311241,"score_gpt":0.3660565660391968,"score_spread":0.3120639896060844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392861944","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9734281,0.0047281664,0.00970114,0.0049309162,0.00017605512,0.00052309386,0.00042820245,0.000119878016,0.005964468],"genre_scores_gemma":[0.99793667,0.0009551479,0.000054603395,0.000062099934,0.00009818949,0.000011492923,0.000030702024,0.0000065121467,0.00084459735],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986409,0.00019684456,0.00025563786,0.00041830205,0.00030566592,0.0001826426],"domain_scores_gemma":[0.9990837,0.0003605877,0.00007996229,0.00020292772,0.00003252727,0.00024028178],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00093733286,0.00014939507,0.00040409729,0.00006363564,0.0002878205,0.00010873968,0.00019511586,0.00020936939,0.0014995723],"category_scores_gemma":[0.000104615596,0.00009822322,0.00008628449,0.00013737178,0.0005946294,0.00003915509,0.00013601154,0.00027161813,2.5263247e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014757161,0.000055435536,0.91881907,0.0017782793,0.00082752266,0.000009337992,0.06461945,0.00005121369,0.00009723928,0.003178308,0.00020527927,0.01021132],"study_design_scores_gemma":[0.00027715415,0.0000316135,0.96809375,0.00008555775,0.0033042105,2.0444328e-7,0.0109482575,0.0023605227,0.0000395674,0.012525619,0.0019839865,0.00034955042],"about_ca_topic_score_codex":0.24178228,"about_ca_topic_score_gemma":0.8389088,"teacher_disagreement_score":0.59712654,"about_ca_system_score_codex":0.00012187253,"about_ca_system_score_gemma":0.00021374083,"threshold_uncertainty_score":0.9994132},"labels":[],"label_agreement":null},{"id":"W4392862111","doi":"10.32920/25417414","title":"Do New Cycling Facilities Improve Neighbourhood Livability?","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"University of Toronto","keywords":"Neighbourhood (mathematics); Cycling; Conceptualization; Transport engineering; Perception; Pedestrian; Built environment; Geography; Community design; Environmental planning; Psychology; Civil engineering; Political science; Engineering; Computer science","score_opus":0.03697469868490708,"score_gpt":0.32586692978848186,"score_spread":0.28889223110357476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392862111","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5452397,0.0029061893,0.00051565946,0.003866981,0.00491013,0.00087047694,0.00018424576,0.0009565068,0.44055012],"genre_scores_gemma":[0.9037659,0.0001027583,0.00065433496,0.00008667231,0.0018529884,0.000029198094,0.000024157145,0.00002576752,0.09345822],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99681747,0.00011848925,0.00062495726,0.0011575249,0.0006709261,0.0006106374],"domain_scores_gemma":[0.99842596,0.00018181455,0.00012216537,0.0007837405,0.00012091694,0.00036541623],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011046854,0.00037646864,0.0005060236,0.00010788403,0.00031517821,0.0009500733,0.000888759,0.0006658394,0.00868235],"category_scores_gemma":[0.00024151384,0.0003295648,0.0005146696,0.00021580327,0.00040195097,0.00020330017,0.00065110775,0.0013019472,0.00033471838],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000116198265,0.00061563775,0.2703236,0.0053910795,0.00073902705,0.0000743813,0.23699175,0.000118007934,0.00024393907,0.19332644,0.017545294,0.27451462],"study_design_scores_gemma":[0.00016407673,0.00002658483,0.008466074,0.00022802177,0.0001431387,8.676546e-8,0.010449011,0.00006380913,0.0002670689,0.94581604,0.033533312,0.0008427827],"about_ca_topic_score_codex":0.0822195,"about_ca_topic_score_gemma":0.021224651,"teacher_disagreement_score":0.75248957,"about_ca_system_score_codex":0.00026839177,"about_ca_system_score_gemma":0.0020816764,"threshold_uncertainty_score":0.99991566},"labels":[],"label_agreement":null},{"id":"W4392875719","doi":"10.1155/2024/4540251","title":"Identification Dockless Bike‐Sharing and Metro Transfer Travelers through Mobility Chain","year":2024,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Young Scientists Fund; Sichuan Province Science and Technology Support Program; Natural Science Foundation for Young Scientists of Shanxi Province; National Natural Science Foundation of China","keywords":"Bike sharing; Transport engineering; Chain (unit); Transfer (computing); Identification (biology); Computer science; Business; Engineering","score_opus":0.021503507801375027,"score_gpt":0.32213471588633874,"score_spread":0.3006312080849637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392875719","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97154737,0.0017362088,0.02486806,0.0005340058,0.0008871878,0.00021929423,0.000018724213,0.000050120543,0.00013903568],"genre_scores_gemma":[0.9984287,0.0006149562,0.00056741136,0.00002231549,0.0002446138,0.000006495918,0.000013164492,0.0000138500445,0.000088499175],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983252,0.000049431314,0.00070470193,0.0002701974,0.00045123918,0.00019918682],"domain_scores_gemma":[0.9994211,0.00007511558,0.00011764374,0.00010300005,0.00018258615,0.00010052313],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010117673,0.00012383427,0.0002318955,0.00012377514,0.00020187984,0.0001183124,0.00016820067,0.00008980551,0.00006130157],"category_scores_gemma":[0.00002431938,0.00011231168,0.00013847333,0.0004612998,0.00016614431,0.0020373755,8.0231973e-7,0.00025052292,0.0000012699409],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010420003,0.0007554385,0.36284944,0.0018977997,0.00050517137,0.00024611337,0.352079,0.007155795,0.10430624,0.057817,0.00007852726,0.11126747],"study_design_scores_gemma":[0.0008471494,0.00012348664,0.9499601,0.00030017618,0.00028468756,0.0000016968281,0.01524391,0.00009007169,0.0068068677,0.02241978,0.0036034512,0.0003185823],"about_ca_topic_score_codex":0.00015425782,"about_ca_topic_score_gemma":0.0017052962,"teacher_disagreement_score":0.5871107,"about_ca_system_score_codex":0.00009378939,"about_ca_system_score_gemma":0.00011684015,"threshold_uncertainty_score":0.45799375},"labels":[],"label_agreement":null},{"id":"W4392876559","doi":"10.32920/25417411","title":"Self-identified Women's Gendered Mobility Experiences and Cycling Frequency, and the Modifying Role of Newly Introduced Cycling Facilities","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph; Toronto Metropolitan University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Cycling; Work (physics); Logistic regression; Sociology; Geography; Socioeconomics; Demographic economics; Engineering; Economics; Computer science; Mechanical engineering","score_opus":0.022278621995213625,"score_gpt":0.28370051510398986,"score_spread":0.2614218931087762,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392876559","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9844531,0.005721721,0.0000726336,0.00034196133,0.0006336798,0.00066173077,0.000028977813,0.0002021581,0.007884042],"genre_scores_gemma":[0.99782425,0.0004933361,0.00075690856,0.000022441067,0.00023196988,0.0002527826,0.000005716647,0.000013318876,0.0003992683],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9970813,0.00031566597,0.000726166,0.00090962654,0.0005245283,0.0004427131],"domain_scores_gemma":[0.9986141,0.00042260662,0.00023612502,0.00047029808,0.000115951,0.00014093348],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029983327,0.0002825335,0.0005712573,0.00009416001,0.0005894725,0.00055566756,0.00050622504,0.00029919384,0.00022245523],"category_scores_gemma":[0.00026431616,0.00020696443,0.00015479139,0.00018050573,0.0017484794,0.00024267349,0.00053123327,0.0006017127,0.00000150521],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008061543,0.00006664177,0.024046047,0.0013608999,0.00019560255,0.0000022634536,0.9607495,0.000034679448,0.0006093636,0.01042198,0.0000073853193,0.0024249956],"study_design_scores_gemma":[0.00044175136,0.0000141143455,0.002975079,0.0001017208,0.00010126297,3.475319e-7,0.6627853,0.0016390494,0.0014924164,0.32997388,0.00008638565,0.00038871996],"about_ca_topic_score_codex":0.017519169,"about_ca_topic_score_gemma":0.0031333521,"teacher_disagreement_score":0.3195519,"about_ca_system_score_codex":0.00009914581,"about_ca_system_score_gemma":0.00036374977,"threshold_uncertainty_score":0.98902327},"labels":[],"label_agreement":null},{"id":"W4392876562","doi":"10.32920/25417411.v1","title":"Self-identified Women's Gendered Mobility Experiences and Cycling Frequency, and the Modifying Role of Newly Introduced Cycling Facilities","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph; Toronto Metropolitan University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Cycling; Work (physics); Ordered logit; Sociology; Geography; Demographic economics; Engineering; Economics; Computer science","score_opus":0.022278621995213625,"score_gpt":0.28370051510398986,"score_spread":0.2614218931087762,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392876562","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9844531,0.005721721,0.0000726336,0.00034196133,0.0006336798,0.00066173077,0.000028977813,0.0002021581,0.007884042],"genre_scores_gemma":[0.99782425,0.0004933361,0.00075690856,0.000022441067,0.00023196988,0.0002527826,0.000005716647,0.000013318876,0.0003992683],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9970813,0.00031566597,0.000726166,0.00090962654,0.0005245283,0.0004427131],"domain_scores_gemma":[0.9986141,0.00042260662,0.00023612502,0.00047029808,0.000115951,0.00014093348],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029983327,0.0002825335,0.0005712573,0.00009416001,0.0005894725,0.00055566756,0.00050622504,0.00029919384,0.00022245523],"category_scores_gemma":[0.00026431616,0.00020696443,0.00015479139,0.00018050573,0.0017484794,0.00024267349,0.00053123327,0.0006017127,0.00000150521],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008061543,0.00006664177,0.024046047,0.0013608999,0.00019560255,0.0000022634536,0.9607495,0.000034679448,0.0006093636,0.01042198,0.0000073853193,0.0024249956],"study_design_scores_gemma":[0.00044175136,0.0000141143455,0.002975079,0.0001017208,0.00010126297,3.475319e-7,0.6627853,0.0016390494,0.0014924164,0.32997388,0.00008638565,0.00038871996],"about_ca_topic_score_codex":0.017519169,"about_ca_topic_score_gemma":0.0031333521,"teacher_disagreement_score":0.3195519,"about_ca_system_score_codex":0.00009914581,"about_ca_system_score_gemma":0.00036374977,"threshold_uncertainty_score":0.98902327},"labels":[],"label_agreement":null},{"id":"W4392902245","doi":"10.32920/25417447.v1","title":"Towards an Equitable Child-Friendly City: A Case Study Evaluation of Child-Friendly Infrastructure in Toronto","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Neighbourhood (mathematics); Placemaking; Quality (philosophy); Geography; Business; Environmental planning; Urban design; Architecture","score_opus":0.03511019555696464,"score_gpt":0.3824218342029395,"score_spread":0.34731163864597486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392902245","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8005523,0.0013302796,0.000053269534,0.00027152366,0.0011306771,0.0025790115,0.00012264113,0.00015308658,0.1938072],"genre_scores_gemma":[0.9985662,0.000029928584,0.00031003548,0.000041894564,0.0004949599,0.00019184862,0.00008660782,0.000035830275,0.00024269718],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9940987,0.0007724019,0.0010220467,0.001336593,0.002089835,0.0006803718],"domain_scores_gemma":[0.99778235,0.000035053923,0.0003138829,0.0010486753,0.00056801114,0.00025203015],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0069905124,0.00047017858,0.0007753045,0.00020086601,0.00042695657,0.00031482393,0.0009045989,0.0005919522,0.005102512],"category_scores_gemma":[0.00020807101,0.0004213491,0.0002324881,0.0005495272,0.00025564927,0.00070585933,0.0007668009,0.0010461367,0.000004178047],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022032892,0.0050096856,0.49463546,0.0010102193,0.00067281147,0.0011646282,0.3617473,0.001679442,0.000011898169,0.009453163,0.0013313148,0.12306377],"study_design_scores_gemma":[0.0031731005,0.000957991,0.42977723,0.00070967554,0.0019540905,0.000042873835,0.49436983,0.0027552848,0.00009598815,0.0622018,0.0018816247,0.002080484],"about_ca_topic_score_codex":0.47967258,"about_ca_topic_score_gemma":0.8351158,"teacher_disagreement_score":0.3554432,"about_ca_system_score_codex":0.0015828069,"about_ca_system_score_gemma":0.0020384716,"threshold_uncertainty_score":0.9998238},"labels":[],"label_agreement":null},{"id":"W4392902269","doi":"10.32920/25417447","title":"Towards an Equitable Child-Friendly City: A Case Study Evaluation of Child-Friendly Infrastructure in Toronto","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Neighbourhood (mathematics); Quality (philosophy); Geography; Focus group; Placemaking; Business; Environmental planning; Marketing; Urban design; Architecture","score_opus":0.03511019555696464,"score_gpt":0.3824218342029395,"score_spread":0.34731163864597486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392902269","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8005523,0.0013302796,0.000053269534,0.00027152366,0.0011306771,0.0025790115,0.00012264113,0.00015308658,0.1938072],"genre_scores_gemma":[0.9985662,0.000029928584,0.00031003548,0.000041894564,0.0004949599,0.00019184862,0.00008660782,0.000035830275,0.00024269718],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9940987,0.0007724019,0.0010220467,0.001336593,0.002089835,0.0006803718],"domain_scores_gemma":[0.99778235,0.000035053923,0.0003138829,0.0010486753,0.00056801114,0.00025203015],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0069905124,0.00047017858,0.0007753045,0.00020086601,0.00042695657,0.00031482393,0.0009045989,0.0005919522,0.005102512],"category_scores_gemma":[0.00020807101,0.0004213491,0.0002324881,0.0005495272,0.00025564927,0.00070585933,0.0007668009,0.0010461367,0.000004178047],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022032892,0.0050096856,0.49463546,0.0010102193,0.00067281147,0.0011646282,0.3617473,0.001679442,0.000011898169,0.009453163,0.0013313148,0.12306377],"study_design_scores_gemma":[0.0031731005,0.000957991,0.42977723,0.00070967554,0.0019540905,0.000042873835,0.49436983,0.0027552848,0.00009598815,0.0622018,0.0018816247,0.002080484],"about_ca_topic_score_codex":0.47967258,"about_ca_topic_score_gemma":0.8351158,"teacher_disagreement_score":0.3554432,"about_ca_system_score_codex":0.0015828069,"about_ca_system_score_gemma":0.0020384716,"threshold_uncertainty_score":0.9998238},"labels":[],"label_agreement":null},{"id":"W4392903241","doi":"10.32920/25417390","title":"How Can We Make Shared E-scooter Systems Safer? Municipal Perspectives on Safety in Shared E-scooter Programs","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph; Toronto Metropolitan University","funders":"","keywords":"SAFER; Interview; Business; Public transport; Transport engineering; Public health; Occupational safety and health; Environmental planning; Engineering; Computer security; Political science; Computer science; Geography; Medicine","score_opus":0.04754403824078509,"score_gpt":0.3101290847975049,"score_spread":0.2625850465567198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392903241","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8141315,0.0055248574,0.00007621142,0.031607784,0.004746274,0.0070092883,0.0014401835,0.001418905,0.13404498],"genre_scores_gemma":[0.95755523,0.0002904436,0.00025028398,0.00007826994,0.0009852524,0.00044664307,0.00033049393,0.000085420295,0.039977957],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9943013,0.0004561899,0.0008325588,0.002056052,0.0011897262,0.0011641716],"domain_scores_gemma":[0.99783725,0.000108412896,0.0002609498,0.0012048688,0.00023346729,0.0003550563],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0013130554,0.00077251863,0.0010469409,0.00039096526,0.00039549952,0.0025209067,0.0016467348,0.0010840181,0.0007313837],"category_scores_gemma":[0.000092772476,0.0006449263,0.00054897054,0.00071255077,0.00058182847,0.00025775572,0.0007169799,0.0021787398,0.00006220181],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012228178,0.0023932802,0.10955282,0.004824175,0.0010995275,0.0007344467,0.7899276,0.00042692365,0.000063368505,0.051770627,0.0021769393,0.03580744],"study_design_scores_gemma":[0.0035354325,0.000554866,0.14406101,0.015296554,0.0007268367,0.0000034983568,0.5691513,0.0033445724,0.00006998255,0.026022308,0.23015185,0.0070818244],"about_ca_topic_score_codex":0.04143434,"about_ca_topic_score_gemma":0.20956871,"teacher_disagreement_score":0.2279749,"about_ca_system_score_codex":0.0014095422,"about_ca_system_score_gemma":0.00080170785,"threshold_uncertainty_score":0.9996002},"labels":[],"label_agreement":null},{"id":"W4392905861","doi":"10.32920/25418047","title":"Toronto's Future Rapid Transit Network: Evaluating Existing and Proposed Rapid Transit Services to a 2041 Forecast of Transit Needs and Transit Demands","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Transit (satellite); Downtown; Transport engineering; Service (business); Public transport; Business; Population; Transit-oriented development; Geography; Computer science; Engineering; Medicine; Marketing","score_opus":0.0411852757171519,"score_gpt":0.33383410999923624,"score_spread":0.2926488342820843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392905861","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92326546,0.038514625,0.0057806713,0.004701718,0.0014229916,0.004154775,0.00028294788,0.0005176251,0.02135918],"genre_scores_gemma":[0.9901432,0.0013256558,0.0054693012,0.00029768224,0.0019211421,0.00007616077,0.00011254534,0.00011089445,0.00054343167],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.99367374,0.00049754034,0.0015869245,0.0016891643,0.0012932721,0.0012593799],"domain_scores_gemma":[0.9977446,0.00021180612,0.0003299099,0.0006214018,0.00039636125,0.00069588487],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00381961,0.0010054293,0.0017070246,0.00023550697,0.00088581874,0.0005499055,0.00083263963,0.0011281082,0.0011634337],"category_scores_gemma":[0.000015519883,0.00090295146,0.0005695729,0.00082566106,0.0005059431,0.0005754054,0.00013577641,0.0011032003,0.0000024917297],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014578088,0.00032355078,0.008352409,0.014689739,0.0011207577,0.000055177345,0.44513652,0.002108916,0.002156327,0.0021255335,0.00027210996,0.5222011],"study_design_scores_gemma":[0.020833105,0.0065974137,0.14470176,0.02759243,0.022604242,0.0000725558,0.5822669,0.05888068,0.0055806176,0.0636049,0.047728285,0.019537093],"about_ca_topic_score_codex":0.01581733,"about_ca_topic_score_gemma":0.17808564,"teacher_disagreement_score":0.502664,"about_ca_system_score_codex":0.00016725587,"about_ca_system_score_gemma":0.00058386306,"threshold_uncertainty_score":0.99974966},"labels":[],"label_agreement":null},{"id":"W4392905986","doi":"10.32920/25418047.v1","title":"Toronto's Future Rapid Transit Network: Evaluating Existing and Proposed Rapid Transit Services to a 2041 Forecast of Transit Needs and Transit Demands","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Transit (satellite); Transport engineering; Service (business); Downtown; Public transport; Business; Population; Geography; Engineering; Medicine; Marketing","score_opus":0.0411852757171519,"score_gpt":0.33383410999923624,"score_spread":0.2926488342820843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392905986","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92326546,0.038514625,0.0057806713,0.004701718,0.0014229916,0.004154775,0.00028294788,0.0005176251,0.02135918],"genre_scores_gemma":[0.9901432,0.0013256558,0.0054693012,0.00029768224,0.0019211421,0.00007616077,0.00011254534,0.00011089445,0.00054343167],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.99367374,0.00049754034,0.0015869245,0.0016891643,0.0012932721,0.0012593799],"domain_scores_gemma":[0.9977446,0.00021180612,0.0003299099,0.0006214018,0.00039636125,0.00069588487],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00381961,0.0010054293,0.0017070246,0.00023550697,0.00088581874,0.0005499055,0.00083263963,0.0011281082,0.0011634337],"category_scores_gemma":[0.000015519883,0.00090295146,0.0005695729,0.00082566106,0.0005059431,0.0005754054,0.00013577641,0.0011032003,0.0000024917297],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014578088,0.00032355078,0.008352409,0.014689739,0.0011207577,0.000055177345,0.44513652,0.002108916,0.002156327,0.0021255335,0.00027210996,0.5222011],"study_design_scores_gemma":[0.020833105,0.0065974137,0.14470176,0.02759243,0.022604242,0.0000725558,0.5822669,0.05888068,0.0055806176,0.0636049,0.047728285,0.019537093],"about_ca_topic_score_codex":0.01581733,"about_ca_topic_score_gemma":0.17808564,"teacher_disagreement_score":0.502664,"about_ca_system_score_codex":0.00016725587,"about_ca_system_score_gemma":0.00058386306,"threshold_uncertainty_score":0.99974966},"labels":[],"label_agreement":null},{"id":"W4392908105","doi":"10.32920/25417390.v1","title":"How Can We Make Shared E-scooter Systems Safer? Municipal Perspectives on Safety in Shared E-scooter Programs","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph; Toronto Metropolitan University","funders":"","keywords":"SAFER; Interview; Business; Transport engineering; Public transport; Public health; Occupational safety and health; Environmental planning; Engineering; Computer security; Political science; Geography; Medicine; Computer science","score_opus":0.04754403824078509,"score_gpt":0.3101290847975049,"score_spread":0.2625850465567198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392908105","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8141315,0.0055248574,0.00007621142,0.031607784,0.004746274,0.0070092883,0.0014401835,0.001418905,0.13404498],"genre_scores_gemma":[0.95755523,0.0002904436,0.00025028398,0.00007826994,0.0009852524,0.00044664307,0.00033049393,0.000085420295,0.039977957],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9943013,0.0004561899,0.0008325588,0.002056052,0.0011897262,0.0011641716],"domain_scores_gemma":[0.99783725,0.000108412896,0.0002609498,0.0012048688,0.00023346729,0.0003550563],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0013130554,0.00077251863,0.0010469409,0.00039096526,0.00039549952,0.0025209067,0.0016467348,0.0010840181,0.0007313837],"category_scores_gemma":[0.000092772476,0.0006449263,0.00054897054,0.00071255077,0.00058182847,0.00025775572,0.0007169799,0.0021787398,0.00006220181],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012228178,0.0023932802,0.10955282,0.004824175,0.0010995275,0.0007344467,0.7899276,0.00042692365,0.000063368505,0.051770627,0.0021769393,0.03580744],"study_design_scores_gemma":[0.0035354325,0.000554866,0.14406101,0.015296554,0.0007268367,0.0000034983568,0.5691513,0.0033445724,0.00006998255,0.026022308,0.23015185,0.0070818244],"about_ca_topic_score_codex":0.04143434,"about_ca_topic_score_gemma":0.20956871,"teacher_disagreement_score":0.2279749,"about_ca_system_score_codex":0.0014095422,"about_ca_system_score_gemma":0.00080170785,"threshold_uncertainty_score":0.9996002},"labels":[],"label_agreement":null},{"id":"W4392914911","doi":"10.3390/su16062479","title":"Drivers of Driving: A Review","year":2024,"lang":"en","type":"review","venue":"Sustainability","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"HEC Montréal","keywords":"Sustainable transport; Diversity (politics); Perception; Public economics; Car ownership; Foundation (evidence); Business; Environmental economics; Sustainability; Risk analysis (engineering); Transport engineering; Psychology; Economics; Engineering; Political science; Ecology; Public transport","score_opus":0.03721935798970224,"score_gpt":0.4218374751679051,"score_spread":0.3846181171782029,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392914911","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000124071485,0.99046344,0.0000055393793,0.00042612062,0.0003334747,0.0023126076,0.000030673473,0.00013220398,0.0062835393],"genre_scores_gemma":[0.00036680244,0.9966108,0.000016988954,0.00001797859,0.00014196454,0.00010493125,0.000029167262,0.000026187829,0.0026851755],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99649376,0.0008668685,0.00097494514,0.0006703357,0.00052885,0.00046522272],"domain_scores_gemma":[0.99773765,0.0002720155,0.00035986837,0.0007813581,0.0006762434,0.00017287351],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0033019315,0.00034068403,0.0019941279,0.00012576552,0.00020290338,0.000039747152,0.00078700966,0.0003439955,0.0005001151],"category_scores_gemma":[0.0024570972,0.0002609224,0.0013548651,0.0013082474,0.001026726,0.0001647763,0.00010971005,0.00065884995,0.000033494405],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[4.3322083e-7,0.00006002597,0.00090820354,0.41085625,0.00005789246,0.000013853817,0.00058681256,6.101848e-9,5.787844e-10,0.0044995216,0.0026663523,0.58035064],"study_design_scores_gemma":[0.000017474098,0.000010867611,0.000067998706,0.030345188,0.0017605028,1.6882716e-7,0.00027130285,3.793814e-8,1.3064465e-8,0.008658434,0.9586424,0.00022557516],"about_ca_topic_score_codex":0.0007888752,"about_ca_topic_score_gemma":0.0005936213,"teacher_disagreement_score":0.95597607,"about_ca_system_score_codex":0.0014883669,"about_ca_system_score_gemma":0.0063963276,"threshold_uncertainty_score":0.9999843},"labels":[],"label_agreement":null},{"id":"W4392955536","doi":"10.1038/s44284-024-00052-6","title":"Early engagement and co-benefits strengthen cities’ climate commitments","year":2024,"lang":"en","type":"article","venue":"Nature Cities","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Deutsches Institut für Entwicklungspolitik; University of Oxford; Washington State University","keywords":"Climate change; Environmental planning; Business; Environmental resource management; Political science; Natural resource economics; Geography; Environmental science; Economics; Oceanography","score_opus":0.03173613066347481,"score_gpt":0.3199250459192232,"score_spread":0.2881889152557484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392955536","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9221019,0.009043109,0.000001477617,0.00057385507,0.00070085766,0.00019201194,0.00018042153,0.00018755076,0.06701881],"genre_scores_gemma":[0.99667746,0.0007496025,0.00005444846,0.00022517609,0.0003219266,0.000016090704,0.000043689735,0.000012040081,0.0018995702],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987938,0.00009433118,0.00015827702,0.00026014014,0.00037063434,0.00032280956],"domain_scores_gemma":[0.9995639,0.00015319297,0.000027556163,0.0001270847,0.000041258867,0.00008701949],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005714544,0.00013068253,0.00014628039,0.00007659267,0.0005502703,0.00038280242,0.00018728583,0.00021351628,0.0005482701],"category_scores_gemma":[0.000027000633,0.000113366084,0.000058244383,0.0001345488,0.00030809848,0.0003717663,0.000033860204,0.00051572337,0.000017504552],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030021014,0.000048837515,0.7473623,0.00028016866,0.00011358643,0.000024863059,0.05542905,0.0000010294568,0.000018681674,0.17184734,0.0070940177,0.017750075],"study_design_scores_gemma":[0.00038348092,0.00006622818,0.67989767,0.0002862636,0.00008762377,3.9385907e-7,0.014454355,0.00002643543,0.00024512372,0.009104803,0.29499608,0.0004515381],"about_ca_topic_score_codex":0.00038201574,"about_ca_topic_score_gemma":0.00070635666,"teacher_disagreement_score":0.28790206,"about_ca_system_score_codex":0.000055620738,"about_ca_system_score_gemma":0.000061045,"threshold_uncertainty_score":0.60031736},"labels":[],"label_agreement":null},{"id":"W4392957501","doi":"10.3390/disabilities4010015","title":"Public Transport in the Disabling City: A Narrative Ethnography of Dilemmas and Strategies of People with Mobility Disabilities","year":2024,"lang":"en","type":"article","venue":"Disabilities","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Centre intégré universitaire de santé et de services sociaux de la Capitale-Nationale; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Centre for Interdisciplinary Research in Rehabilitation; Université Laval; Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Ethnography; Narrative; Public transport; Sociology; Gender studies; Psychology; Gerontology; Medicine; Political science; Anthropology; Art; Literature","score_opus":0.06079144404758405,"score_gpt":0.31700853001199336,"score_spread":0.2562170859644093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392957501","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9888088,0.0009737367,0.00005590137,0.001262667,0.00007453545,0.00060024014,0.00011649411,0.000065426386,0.008042163],"genre_scores_gemma":[0.999639,0.00005562504,0.000042581858,0.000008338751,0.000042815824,0.00011607079,0.000017164642,0.000010839927,0.00006756214],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9978365,0.00030208,0.0005410656,0.00040845998,0.0005627942,0.0003491294],"domain_scores_gemma":[0.99769545,0.0017007156,0.00007242559,0.00034427337,0.00012413922,0.00006300723],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0017089505,0.0002014478,0.00042958898,0.00011591386,0.00023447748,0.00014099453,0.00034450451,0.00009850712,0.00021761222],"category_scores_gemma":[0.00024309814,0.00012819267,0.00016350245,0.0011021402,0.005661589,0.001175957,0.000016824151,0.00024174657,2.1728708e-7],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028347318,0.0001584732,0.5591007,0.0005129809,0.00002132224,3.728077e-7,0.38914034,0.000004064309,0.0000063571665,0.05087085,0.0000037195568,0.00015250008],"study_design_scores_gemma":[0.00010104267,0.000080355596,0.32635996,0.000095018666,0.000025308242,1.8478424e-7,0.64273095,0.000009599292,0.00002635357,0.030324548,0.00014181253,0.000104889274],"about_ca_topic_score_codex":0.014318026,"about_ca_topic_score_gemma":0.11992484,"teacher_disagreement_score":0.25359058,"about_ca_system_score_codex":0.000041243315,"about_ca_system_score_gemma":0.00034716158,"threshold_uncertainty_score":0.99704444},"labels":[],"label_agreement":null},{"id":"W4393072318","doi":"10.3389/frvir.2024.1395906","title":"Corrigendum: Sex differences in spatial tasks: considering environmental factors, navigation strategies, and age","year":2024,"lang":"en","type":"erratum","venue":"Frontiers in Virtual Reality","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; McGill University; Douglas Mental Health University Institute","funders":"","keywords":"Computer science; Psychology","score_opus":0.037433041733239775,"score_gpt":0.2824597268158905,"score_spread":0.2450266850826507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393072318","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91436327,0.0055460813,0.0015355687,0.00015955276,0.054805502,0.0012087835,0.0014067637,0.00017862074,0.02079585],"genre_scores_gemma":[0.9808376,0.00096591644,0.00004205563,0.000013811273,0.0005808188,0.000023558738,0.0019766463,0.000027311502,0.015532281],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99690664,0.00039321647,0.0006497843,0.0008559911,0.0006602909,0.0005340888],"domain_scores_gemma":[0.9992997,0.000064509106,0.0001922911,0.0002623791,0.000008787662,0.00017230758],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007893058,0.00040227931,0.00075268414,0.00019365076,0.00022003464,0.0004050122,0.00035294157,0.000811353,0.00009558346],"category_scores_gemma":[0.000060902017,0.00039396912,0.00009997566,0.00022925816,0.0011069768,0.0005636644,0.00008467989,0.0014252013,0.0000020915468],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037818972,0.00013639242,0.88202137,0.00024032634,0.000044863653,0.00021277503,0.02710569,0.0000031861402,0.0000070788174,0.00037510437,0.08398575,0.0058296644],"study_design_scores_gemma":[0.0004309481,0.00009349238,0.83686346,0.0006059074,0.000086112355,4.1350265e-7,0.07304827,0.00041567377,0.000008526899,0.017525803,0.06995444,0.0009669762],"about_ca_topic_score_codex":0.049384795,"about_ca_topic_score_gemma":0.07351644,"teacher_disagreement_score":0.066474326,"about_ca_system_score_codex":0.0006849568,"about_ca_system_score_gemma":0.0006496394,"threshold_uncertainty_score":0.9998512},"labels":[],"label_agreement":null},{"id":"W4393162238","doi":"10.1080/23748834.2024.2331895","title":"Do key informants and commuters share the same thoughts on modal shifts? Reflection from in-depth interviews conducted during COVID-19 in Dhaka, Bangladesh","year":2024,"lang":"en","type":"article","venue":"Cities & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; University of Toronto","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Key (lock); Reflection (computer programming); Modal; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Sociology; Psychology; Medicine; Computer science; Virology; Computer security","score_opus":0.08808088748218389,"score_gpt":0.38214854940747883,"score_spread":0.29406766192529493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393162238","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98691857,0.0022964955,0.000010899277,0.008022902,0.00051654957,0.00045135638,0.00009558308,0.00011073163,0.0015769158],"genre_scores_gemma":[0.99643713,0.0006531288,0.000019956713,0.0023811264,0.00026340905,0.00003133236,0.000057812784,0.000010451846,0.00014567921],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99835145,0.00033467342,0.0004142331,0.0002876393,0.00024460407,0.00036737387],"domain_scores_gemma":[0.999308,0.00023396438,0.000082027924,0.00019878794,0.000015308924,0.00016194418],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00096855266,0.0001365818,0.00023864566,0.00015500854,0.0004964161,0.0002294473,0.00025436483,0.00009745643,0.00015231917],"category_scores_gemma":[0.000052387724,0.0001040108,0.000043796877,0.00043417612,0.00026368495,0.0005384254,0.000041428237,0.00045986,0.000008326985],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017115954,0.00006181526,0.3591839,0.00068754115,0.000019425444,0.000025618308,0.6260791,0.000019954625,0.000015476096,0.002425495,0.0017492514,0.009561284],"study_design_scores_gemma":[0.00057793193,0.000066928624,0.92742765,0.00063624745,0.0000055686155,5.1525274e-7,0.048817575,0.00012979245,0.000019353922,0.008389238,0.013729291,0.00019993744],"about_ca_topic_score_codex":0.04122011,"about_ca_topic_score_gemma":0.28156397,"teacher_disagreement_score":0.5772615,"about_ca_system_score_codex":0.0006023145,"about_ca_system_score_gemma":0.00050076446,"threshold_uncertainty_score":0.9651645},"labels":[],"label_agreement":null},{"id":"W4393191291","doi":"10.1177/23998083241240195","title":"Regional comparison of socio-demographic variation in urban E-scooter usage","year":2024,"lang":"en","type":"article","venue":"Environment and Planning B Urban Analytics and City Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Variation (astronomy); Regional variation; Geography; Economic geography; Regional science; Business; Advertising","score_opus":0.0402802693349597,"score_gpt":0.30061658416799025,"score_spread":0.26033631483303055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393191291","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99579656,0.0018601554,0.000688135,0.00037006178,0.000075679636,0.00008340732,0.0000052472074,0.000014516534,0.0011062366],"genre_scores_gemma":[0.9992705,0.00014025345,0.0001637318,0.000030953706,0.00006440787,0.0000013095504,0.000003392742,0.0000029083858,0.00032252294],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987662,0.000035143163,0.0002216655,0.00033431768,0.0004216861,0.00022100327],"domain_scores_gemma":[0.9996429,0.00009352786,0.00006029793,0.00009281468,0.000009435407,0.0001010317],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012036739,0.00008828027,0.00015110108,0.00018450932,0.00032927736,0.00014085909,0.00015243878,0.00006430262,0.00005451324],"category_scores_gemma":[0.000021043006,0.00008101708,0.000033443728,0.0004267658,0.0012481688,0.0003492775,0.00003114898,0.00015115229,0.0000010716969],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000458524,0.00003157348,0.9800338,0.0000149570615,0.000005361572,0.0000023266036,0.016901338,0.000038054466,0.00026226122,0.0021628677,0.0001776894,0.00036518247],"study_design_scores_gemma":[0.00008106356,0.000025672984,0.9868084,0.00005662167,0.000021223625,1.1148045e-7,0.001197586,0.0068376767,0.000022503918,0.0013482348,0.0034893667,0.00011152796],"about_ca_topic_score_codex":0.00033725947,"about_ca_topic_score_gemma":0.00007305445,"teacher_disagreement_score":0.015703753,"about_ca_system_score_codex":0.000043817567,"about_ca_system_score_gemma":0.00006389184,"threshold_uncertainty_score":0.459893},"labels":[],"label_agreement":null},{"id":"W4393225089","doi":"10.1177/03611981241233297","title":"Closing the Cycling Gap: Examining Equity Implications of Montreal’s Bikesharing Network Growth","year":2024,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Cycling; Closing (real estate); Equity (law); Transport engineering; Economics; Engineering; Environmental science; Business; Geography; Finance; Political science","score_opus":0.23296576386377862,"score_gpt":0.46882413663031786,"score_spread":0.23585837276653923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393225089","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98161507,0.0016294264,0.0028162533,0.008166321,0.0008711321,0.0010609153,0.00006846291,0.00006654041,0.0037058792],"genre_scores_gemma":[0.9961452,0.0016865826,0.0007329303,0.000038468308,0.00072338147,0.00005696833,0.000014514741,0.000047242098,0.0005547383],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99112093,0.0016874495,0.0017396534,0.0004889895,0.0037902484,0.001172702],"domain_scores_gemma":[0.99227947,0.0032336651,0.000470017,0.0005302018,0.0031328206,0.000353831],"candidate_categories":["sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.015097102,0.00022973327,0.00045185257,0.00062575407,0.0021414142,0.00042846586,0.0019963079,0.00021791401,0.0002986871],"category_scores_gemma":[0.00040036373,0.00015514404,0.00049707753,0.0043132138,0.0016549862,0.0011206209,0.000018013405,0.002543772,0.000010153351],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039318088,0.00017160086,0.9155614,0.0004845392,0.00023997485,0.000051017487,0.020073751,0.0012357973,0.0020940467,0.032541968,0.004366329,0.022786446],"study_design_scores_gemma":[0.00034319688,0.00013975841,0.94598967,0.00083762297,0.00010520239,1.5025226e-7,0.0039621904,0.0001081659,0.00038006224,0.043294575,0.004682019,0.00015736576],"about_ca_topic_score_codex":0.048866857,"about_ca_topic_score_gemma":0.23118654,"teacher_disagreement_score":0.18231969,"about_ca_system_score_codex":0.0003325403,"about_ca_system_score_gemma":0.0015206102,"threshold_uncertainty_score":0.9997574},"labels":[],"label_agreement":null},{"id":"W4393304907","doi":"10.1016/j.tranpol.2024.03.014","title":"Exploring the changes in travel behavior between the first and second waves of the COVID-19 pandemic in Dhaka","year":2024,"lang":"en","type":"article","venue":"Transport Policy","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Bangladesh University of Engineering and Technology","keywords":"Pandemic; Multinomial logistic regression; Descriptive statistics; TRIPS architecture; Coronavirus disease 2019 (COVID-19); Travel behavior; Geography; Curfew; Work (physics); Business; Transport engineering; Medicine; Engineering; Statistics; Mathematics","score_opus":0.16464184327317338,"score_gpt":0.3625857907086116,"score_spread":0.1979439474354382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393304907","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98243284,0.00044263314,0.0000037302875,0.015403529,0.00010260898,0.000515439,0.000099621524,0.00003094887,0.00096867315],"genre_scores_gemma":[0.99866587,0.00032078393,0.0000016820362,0.00039166497,0.00024921048,0.000106931155,0.0000038856624,0.000011185775,0.00024881164],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998819,0.00008618527,0.00029953514,0.00023786291,0.00024358042,0.00031382008],"domain_scores_gemma":[0.99936545,0.00027352365,0.000044779485,0.00023065785,0.000009753114,0.00007585526],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011239743,0.00012575429,0.000198133,0.000110150286,0.00028411802,0.000032376138,0.00047736705,0.00007204292,0.000114846254],"category_scores_gemma":[0.000026905791,0.00006634002,0.00008213585,0.0008159317,0.0007154375,0.00020710887,0.000013359367,0.00031496977,9.750911e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000051944953,0.000016882936,0.9163455,0.00008226658,0.000006593667,0.0000045577394,0.08020737,0.000001497099,0.00003059804,0.001094325,0.000010847804,0.002194371],"study_design_scores_gemma":[0.00015440727,0.000008340018,0.9850987,0.00004494369,0.00003562753,4.6456202e-7,0.0037447026,0.0000011371129,0.00010068528,0.0009322229,0.0097936755,0.00008507653],"about_ca_topic_score_codex":0.038902644,"about_ca_topic_score_gemma":0.4814136,"teacher_disagreement_score":0.44251093,"about_ca_system_score_codex":0.000085582986,"about_ca_system_score_gemma":0.00034160484,"threshold_uncertainty_score":0.9674974},"labels":[],"label_agreement":null},{"id":"W4393352751","doi":"10.3390/ijerph21040422","title":"Community Transport’s Dual Role as a Transport and a Social Scheme: Implications for Policy","year":2024,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Social Sciences and Humanities Research Council; Social Sciences and Humanities Research Council of Canada","keywords":"Realm; Sustainability; Business; Dual (grammatical number); Service provider; Public relations; Service (business); Marketing; Political science","score_opus":0.1251973254687146,"score_gpt":0.471629241793472,"score_spread":0.3464319163247574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393352751","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8589655,0.0010871374,0.00021287001,0.13818325,0.00007905756,0.0002099507,0.000359851,0.000010523569,0.00089184946],"genre_scores_gemma":[0.99723333,0.0012911257,0.00013891565,0.00036543157,0.00057081715,0.000013667567,0.00005859912,0.000009209352,0.0003189092],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99827224,0.00022102702,0.00036149286,0.00013570591,0.00064247224,0.00036704927],"domain_scores_gemma":[0.99916124,0.0002268344,0.00007587486,0.000058970276,0.00009862672,0.0003784709],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036089327,0.00007452015,0.00014111173,0.00029039837,0.0008539045,0.00014534651,0.00029369871,0.00006728111,0.00009886672],"category_scores_gemma":[0.00007447819,0.00006846749,0.0000801134,0.0001465619,0.0007684102,0.0005629441,0.00002296681,0.0005384634,0.000001711065],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003388337,0.0019913453,0.44593048,0.00018214801,0.00036831663,0.000028561673,0.077180535,2.489974e-7,0.0011779196,0.18983383,0.0010938909,0.28187388],"study_design_scores_gemma":[0.0005411204,0.00035014356,0.7086817,0.00003570563,0.000005148357,0.000020556996,0.010445282,0.0000063838916,0.00000870951,0.044801746,0.23501384,0.00008965144],"about_ca_topic_score_codex":0.0035418505,"about_ca_topic_score_gemma":0.0017230007,"teacher_disagreement_score":0.28178424,"about_ca_system_score_codex":0.00041178372,"about_ca_system_score_gemma":0.0015300375,"threshold_uncertainty_score":0.65676296},"labels":[],"label_agreement":null},{"id":"W4393372116","doi":"10.1016/j.jth.2024.101797","title":"Behavioural correlates of active transport among Canadian adults during the COVID-19 pandemic: The Canadian national active transportation Survey, 2021","year":2024,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia; Canadian Fitness and Lifestyle Research Institute; University of Alberta","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Geography; Virology; Coronavirus Infections; Medicine; Outbreak; Infectious disease (medical specialty); Internal medicine","score_opus":0.05211437447663462,"score_gpt":0.34208524076167485,"score_spread":0.2899708662850402,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393372116","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98731923,0.00073939783,0.00004157303,0.007531057,0.00084237574,0.0006579421,0.002511746,0.000019965915,0.00033671086],"genre_scores_gemma":[0.9984047,0.00047599076,0.000012592246,0.00039022593,0.00024300242,0.000012573599,0.00026995037,0.000026025655,0.00016492924],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9961506,0.00037628555,0.0012075754,0.00031858924,0.0012358739,0.0007110557],"domain_scores_gemma":[0.99691343,0.00036904102,0.00055864285,0.00016934154,0.00064688904,0.0013426399],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0044615143,0.00024859645,0.00047619728,0.00039222528,0.0016068352,0.0000513055,0.00064020284,0.0002447067,0.00056304643],"category_scores_gemma":[0.000080549245,0.00016961768,0.0004014492,0.0009661744,0.0007114106,0.00076900196,0.0000010972087,0.0011334666,0.0000019493575],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023624643,0.00004124109,0.94701093,0.000098276396,0.00011623171,0.00009678993,0.05093256,0.00020070124,0.0000019405281,0.00019130266,0.00010604663,0.0009677321],"study_design_scores_gemma":[0.0004460636,0.00006502764,0.991265,0.00015664079,0.00010283141,0.000010170767,0.0046768277,0.00001387063,0.000009524952,0.00021398383,0.0028707976,0.00016929144],"about_ca_topic_score_codex":0.99033725,"about_ca_topic_score_gemma":0.99988925,"teacher_disagreement_score":0.046255734,"about_ca_system_score_codex":0.0026082075,"about_ca_system_score_gemma":0.026728803,"threshold_uncertainty_score":0.9996929},"labels":[],"label_agreement":null},{"id":"W4393509882","doi":"10.1007/s12061-024-09575-w","title":"Gated or Ungated? A Case Study on Walkability Measurement for Urban Communities","year":2024,"lang":"en","type":"article","venue":"Applied Spatial Analysis and Policy","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Humanities and Social Science Fund of Ministry of Education of China; University of Toronto; National Natural Science Foundation of China","keywords":"Walkability; Community design; Built environment; Beijing; Transport engineering; Computer science; Environmental planning; Geography; Environmental health; Civil engineering; Medicine; Engineering","score_opus":0.07307998971292515,"score_gpt":0.36195998609251223,"score_spread":0.28887999637958706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393509882","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99493814,0.000070266826,0.0012155345,0.0006224422,0.000047822898,0.0008357138,0.00006637859,0.00011970577,0.0020840245],"genre_scores_gemma":[0.99916834,0.000011889907,0.000021535701,0.00012800602,0.00032561622,0.00010932589,0.000026189176,0.000010454665,0.00019861998],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998534,0.00016361177,0.0003241564,0.00030939688,0.00038490645,0.0002839161],"domain_scores_gemma":[0.9991789,0.00022502076,0.00005272916,0.00029080207,0.00011244959,0.00014010193],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014481029,0.00016723743,0.00035225862,0.00028846288,0.0008334433,0.00024358639,0.00015566485,0.00007574343,0.00015202077],"category_scores_gemma":[0.00004072682,0.00012052853,0.00016781634,0.0013121599,0.00021580938,0.0000684421,0.00002414235,0.00013970156,0.0000036866195],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00087914953,0.0026400124,0.47851548,0.00030174368,0.006029825,0.00023302923,0.37094757,0.000071850634,0.00019280789,0.021899652,0.000791499,0.11749737],"study_design_scores_gemma":[0.0051507414,0.002459952,0.4427282,0.00014820133,0.0188016,0.0000068779345,0.43894434,0.008180957,0.0010595537,0.0128597,0.066731445,0.0029284304],"about_ca_topic_score_codex":0.39539343,"about_ca_topic_score_gemma":0.58072186,"teacher_disagreement_score":0.18532845,"about_ca_system_score_codex":0.00014095772,"about_ca_system_score_gemma":0.00025482094,"threshold_uncertainty_score":0.6410256},"labels":[],"label_agreement":null},{"id":"W4393871037","doi":"10.1080/24694452.2024.2322474","title":"Platform Urbanism and “Splintering Amenitization”: An Analysis of Canadian Cities","year":2024,"lang":"en","type":"article","venue":"Annals of the American Association of Geographers","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University","funders":"Social Sciences and Humanities Research Council of Canada; KU Leuven","keywords":"Urbanism; Regional science; Economic geography; Geography; Political science; Environmental planning; Architecture; Archaeology","score_opus":0.032307617373716416,"score_gpt":0.32092600003424493,"score_spread":0.2886183826605285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393871037","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99536073,0.0001534187,0.000017699653,0.0015134186,0.00006895137,0.00007206586,0.00012946657,0.00001577349,0.0026684722],"genre_scores_gemma":[0.999242,0.00030825238,0.00005697274,0.00013059072,0.000016739346,0.0000018783953,0.000011350633,0.000004716675,0.00022747004],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990561,0.00007517592,0.0002726934,0.0001226455,0.000304796,0.00016857509],"domain_scores_gemma":[0.99906826,0.000117427684,0.00040750508,0.00012392893,0.0002037315,0.00007916184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006813621,0.00006271623,0.00025470622,0.0006536916,0.0001265845,0.000035072757,0.00019389753,0.000035588826,0.000064255735],"category_scores_gemma":[0.00008521218,0.000054532233,0.00021670102,0.0030856726,0.00048094912,0.00023020309,0.00001102006,0.000055582714,1.5535284e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000052491873,0.000012806545,0.9875281,0.000013522776,0.00058174005,1.364725e-7,0.0071884594,0.00007436631,0.00006449277,0.0022401381,0.00014032437,0.002150651],"study_design_scores_gemma":[0.000028068722,0.000033634875,0.98919106,0.000024397888,0.00028038677,8.15828e-9,0.007847656,0.000247814,0.00020217102,0.0008923745,0.0011869161,0.00006549313],"about_ca_topic_score_codex":0.4515038,"about_ca_topic_score_gemma":0.46361047,"teacher_disagreement_score":0.012106682,"about_ca_system_score_codex":0.000035802408,"about_ca_system_score_gemma":0.00013841216,"threshold_uncertainty_score":0.5521487},"labels":[],"label_agreement":null},{"id":"W4393931264","doi":"10.3390/su16072850","title":"A Bibliometrics Analysis Related to the Built Environment and Walking","year":2024,"lang":"en","type":"article","venue":"Sustainability","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"China Scholarship Council","keywords":"Bibliometrics; Physical medicine and rehabilitation; Computer science; Medicine; World Wide Web","score_opus":0.013410377383206988,"score_gpt":0.32393609518618266,"score_spread":0.31052571780297566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393931264","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97799045,0.0016891955,0.000973965,0.01727626,0.000100209174,0.00044315486,0.000007636531,0.000105343475,0.0014137791],"genre_scores_gemma":[0.9983502,0.00008601151,0.000040466974,0.00007711918,0.000039031616,0.000023435867,0.000003093167,0.0000052304567,0.0013754009],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998378,0.00026680724,0.00021847436,0.00042065454,0.00038909877,0.00032701113],"domain_scores_gemma":[0.99901086,0.00035735103,0.000022815608,0.00034683428,0.00011506669,0.00014707926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037876759,0.000090885995,0.0001443132,0.001337869,0.00056196516,0.0002757576,0.00023734524,0.00007648259,0.00032948775],"category_scores_gemma":[0.0009635668,0.00006317925,0.00013212037,0.018390732,0.00033773715,0.00020612174,0.000073853254,0.00020291719,0.000011290969],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000072513103,0.000040622377,0.92062724,0.000056541983,0.00011774928,0.0000123064565,0.020549336,0.000086414984,0.0000015562309,0.0054925214,0.000207603,0.05280087],"study_design_scores_gemma":[0.00002791169,0.000015758873,0.86780864,0.00000260484,0.00013707936,5.5533654e-8,0.0055110794,0.00017774629,0.000005333304,0.041032862,0.08517978,0.00010112692],"about_ca_topic_score_codex":0.0047653145,"about_ca_topic_score_gemma":0.0022120008,"teacher_disagreement_score":0.08497218,"about_ca_system_score_codex":0.0004002578,"about_ca_system_score_gemma":0.00020064603,"threshold_uncertainty_score":0.8836137},"labels":[],"label_agreement":null},{"id":"W4393951510","doi":"10.1007/s11524-024-00856-w","title":"Association Between Park Use and Moderate-to-Vigorous Activity During COVID-19 Years among a Cohort of Low-Income Youth","year":2024,"lang":"en","type":"article","venue":"Journal of Urban Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Children's Hospital of Eastern Ontario","funders":"National Heart, Lung, and Blood Institute; National Institutes of Health","keywords":"Demography; Bivariate analysis; Confounding; Cohort; Medicine; Physical activity; Gerontology; Geography; Physical therapy; Statistics","score_opus":0.03981638107317964,"score_gpt":0.334922281925368,"score_spread":0.29510590085218835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393951510","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99735254,0.00042666128,0.0002861054,0.0012665725,0.00026846307,0.000258472,0.000077601675,0.00003000588,0.00003357701],"genre_scores_gemma":[0.9990454,0.00022081938,0.00007035181,0.00008403031,0.00037345322,0.000001284555,0.0000021406775,0.000011391069,0.00019117816],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980136,0.00029856953,0.00054294843,0.00018946742,0.00064496516,0.0003104192],"domain_scores_gemma":[0.9983856,0.00031118543,0.00050210766,0.00010064256,0.00012398211,0.00057647395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002989894,0.00009839627,0.0004429029,0.00017450938,0.00026497516,0.00016504564,0.00014159862,0.000109016575,0.000017646862],"category_scores_gemma":[0.0003977809,0.00009237465,0.000107457614,0.000364549,0.00007995481,0.0007891784,0.00001881596,0.00034816592,0.000001053378],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058353773,0.00003333669,0.98422396,0.0001911514,0.00008327152,0.000014176255,0.014830961,0.00002863672,0.000014108195,0.000012326682,0.00023766288,0.00027206686],"study_design_scores_gemma":[0.00023688517,0.000073115276,0.99864376,0.00016533666,0.000061191444,4.2701967e-7,0.00037405474,0.000018778916,0.000041131247,0.00013420539,0.00016773323,0.00008338697],"about_ca_topic_score_codex":0.010242431,"about_ca_topic_score_gemma":0.003009478,"teacher_disagreement_score":0.014456906,"about_ca_system_score_codex":0.0010988544,"about_ca_system_score_gemma":0.0010848847,"threshold_uncertainty_score":0.99634844},"labels":[],"label_agreement":null},{"id":"W4394094293","doi":"10.6084/m9.figshare.25066136","title":"Patterns of human activity paired with census data for the largest city parks in Toronto, Canada","year":2024,"lang":"en","type":"dataset","venue":"Figshare","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Census; Geography; Cartography; Demography; Sociology; Population","score_opus":0.1003772475182654,"score_gpt":0.349014547403508,"score_spread":0.2486372998852426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394094293","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0005757834,0.00032130728,8.587335e-8,0.00013401522,0.00013437115,0.0006566067,0.9980715,0.000014490543,0.00009184691],"genre_scores_gemma":[0.08245337,0.000009764654,8.6237833e-7,0.00003504712,0.00023257136,0.00013146778,0.91705316,0.000010252509,0.000073519856],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985279,0.00007620494,0.0002043935,0.00045811752,0.00042446947,0.0003089312],"domain_scores_gemma":[0.99837255,0.00032189605,0.00017620306,0.0009845218,0.00007515504,0.00006964738],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00027890725,0.0001819588,0.0002871884,0.000014060579,0.00023520863,0.000070552036,0.0015218919,0.00018042707,0.043399196],"category_scores_gemma":[0.00028452234,0.00012478356,0.000048645434,0.000106264364,0.000022136957,0.00019812315,0.00016811071,0.000300659,0.000005065082],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000101210235,0.000042294592,0.0047802594,0.00062335044,0.000031197786,0.000012782095,0.000054824377,1.4699623e-7,6.820131e-8,5.123818e-7,0.99425364,0.00019078163],"study_design_scores_gemma":[0.00010995667,0.000013121636,0.07456302,0.0009030252,0.000048442733,4.798031e-8,0.00022960037,0.0000040415603,0.0000025680872,0.0000033269203,0.92396176,0.00016106496],"about_ca_topic_score_codex":0.98288417,"about_ca_topic_score_gemma":0.9999239,"teacher_disagreement_score":0.08187758,"about_ca_system_score_codex":0.00036054885,"about_ca_system_score_gemma":0.0012439549,"threshold_uncertainty_score":0.95747524},"labels":[],"label_agreement":null},{"id":"W4394297908","doi":"10.6084/m9.figshare.19621142","title":"Qualitative experiences of new motorised mobility scooter users relevant to their scooter skills: a secondary analysis","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Transport engineering; Qualitative analysis; Computer science; Engineering; Qualitative research; Sociology","score_opus":0.05773107251066999,"score_gpt":0.37906126493284675,"score_spread":0.32133019242217675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394297908","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0119955195,0.00030046914,0.0000011645656,0.000080481754,0.00025000903,0.0009338317,0.98614013,0.000053119616,0.00024529756],"genre_scores_gemma":[0.0065202774,0.000011560607,0.000043203705,0.0002147774,0.0002132491,0.0006657729,0.99151975,0.000017658682,0.0007937502],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.995778,0.0007477514,0.00082183117,0.0010357661,0.0010692164,0.00054743444],"domain_scores_gemma":[0.99703187,0.00064905843,0.0005814842,0.0010604743,0.00025601644,0.00042110865],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007789394,0.00042491386,0.0009819004,0.00040995146,0.00046232107,0.00013280113,0.0017003886,0.0003400951,0.8875824],"category_scores_gemma":[0.0016159521,0.0003733926,0.00070188264,0.0022319735,0.00012649068,0.00049772207,0.00027787604,0.0006086013,0.00013906637],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037412687,0.00014263653,0.00009277439,0.00018571665,0.00024861385,0.0000067020496,0.19652537,0.0000059075096,4.5269246e-7,2.9944755e-7,0.80258316,0.00017098896],"study_design_scores_gemma":[0.0001518774,0.00007642996,0.0017192302,0.00024521662,0.00015881081,3.8191907e-8,0.10122873,7.4685374e-7,0.000030589435,0.000048026734,0.8959141,0.00042623313],"about_ca_topic_score_codex":0.007137528,"about_ca_topic_score_gemma":0.014494669,"teacher_disagreement_score":0.88744336,"about_ca_system_score_codex":0.0002586356,"about_ca_system_score_gemma":0.0014517704,"threshold_uncertainty_score":0.9998718},"labels":[],"label_agreement":null},{"id":"W4394358520","doi":"10.6084/m9.figshare.21431910.v1","title":"WSB and BT Models","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geography; Computer science","score_opus":0.08366299214437711,"score_gpt":0.3243796455583279,"score_spread":0.24071665341395077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394358520","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000060998705,0.0007639982,1.9563421e-8,0.00006050598,0.00009487077,0.00019973924,0.99636656,0.00004241075,0.0024658188],"genre_scores_gemma":[0.00006366766,0.000044975073,0.0000019290126,0.00015860941,0.0002075148,0.00012641339,0.99838716,0.000007167059,0.0010025571],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99892616,0.00006325005,0.0001277552,0.00030785726,0.0003566197,0.00021832834],"domain_scores_gemma":[0.9994449,0.00007278333,0.00008680039,0.00025477645,0.000034760316,0.000105964325],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009352077,0.00012319529,0.0001661575,0.000042425338,0.00047467768,0.00010394339,0.00047631626,0.00017688595,0.9431894],"category_scores_gemma":[0.00016355707,0.00012611208,0.000060544946,0.00012574684,0.000017926639,0.00021192755,0.00012117516,0.00032365293,0.00021734665],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000016821024,0.000015029755,0.000011332903,0.00010910499,0.0000055999735,0.000014305262,0.0001669573,0.000001062498,6.796931e-9,0.0000052432183,0.99948204,0.00018765996],"study_design_scores_gemma":[0.0000457089,0.0000063826133,0.00013632404,0.00010567095,0.000012104941,9.594947e-8,0.0000877898,0.0000017638757,1.08311774e-7,0.0003547159,0.9990913,0.00015800598],"about_ca_topic_score_codex":0.0018948896,"about_ca_topic_score_gemma":0.0046010814,"teacher_disagreement_score":0.942972,"about_ca_system_score_codex":0.00004840462,"about_ca_system_score_gemma":0.00022004668,"threshold_uncertainty_score":0.5142701},"labels":[],"label_agreement":null},{"id":"W4394582396","doi":"10.1080/01944363.2024.2328494","title":"<i>Human Transit, Revised Edition: How Clearer Thinking about Public Transit Can Enrich Our Communities and Our Lives</i> <b> <i>Human Transit, Revised Edition: How Clearer Thinking about Public Transit Can Enrich Our Communities and Our Lives</i> </b> Jarrett Walker (2024). Island Press, 288 pages. $35 (paperback)","year":2024,"lang":"en","type":"article","venue":"Journal of the American Planning Association","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Transit (satellite); Public transport; Transit system; Engineering ethics; Transport engineering; Engineering","score_opus":0.033524724733907135,"score_gpt":0.28182501743424876,"score_spread":0.24830029270034162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394582396","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7472836,0.012082798,0.0006536558,0.2329663,0.002718399,0.001283159,0.0007399894,0.0004656916,0.0018064035],"genre_scores_gemma":[0.9882287,0.0037336678,0.00016486378,0.00241645,0.0034633863,0.000031843494,0.00018969594,0.0001359576,0.0016354342],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9910342,0.0032776329,0.001325204,0.00062133267,0.0024523162,0.0012893039],"domain_scores_gemma":[0.9954061,0.00044294703,0.0020407692,0.00064868346,0.00093250547,0.00052901794],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.005445024,0.0008562536,0.0016216106,0.00043765668,0.0051454995,0.0049739615,0.0015973519,0.00042896863,0.000032300934],"category_scores_gemma":[0.00018032402,0.0007434502,0.0007227125,0.0012095768,0.00040523414,0.0030080671,0.00009268553,0.0034176493,0.0000013954756],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033876314,0.00059525436,0.27929732,0.0015905888,0.002555572,0.00026862326,0.50010663,0.00023522442,0.0017986402,0.0004813734,0.20577925,0.0069527584],"study_design_scores_gemma":[0.0044115004,0.0010009175,0.31766152,0.0060311933,0.0027462137,0.00014197823,0.6068356,0.0003116445,0.00018173957,0.0016640034,0.056332603,0.0026811005],"about_ca_topic_score_codex":0.0034536533,"about_ca_topic_score_gemma":0.013096712,"teacher_disagreement_score":0.2409451,"about_ca_system_score_codex":0.0008060888,"about_ca_system_score_gemma":0.0005970289,"threshold_uncertainty_score":0.99950165},"labels":[],"label_agreement":null},{"id":"W4394629695","doi":"10.1016/j.jth.2024.101803","title":"Travel to school patterns and perceptions of walking to school in New Zealand adolescents before versus during the COVID-19 pandemic","year":2024,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Lottery Health Research; Health Research Council of New Zealand; National Heart Foundation of New Zealand; University of Otago","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Perception; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Geography; Demography; Psychology; Medicine; Virology; Sociology; Outbreak; Infectious disease (medical specialty)","score_opus":0.037371166814995124,"score_gpt":0.36548691329709976,"score_spread":0.3281157464821046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394629695","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9860507,0.0003626626,0.00076718687,0.011943718,0.0003847289,0.00040606322,0.000045482666,0.000018029812,0.000021385622],"genre_scores_gemma":[0.9979952,0.00042289615,0.00011532836,0.00077451626,0.00045363273,0.0000025387117,0.0000024147746,0.000012803258,0.00022065923],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980328,0.00010222716,0.0007678233,0.00021805917,0.0005020369,0.00037704065],"domain_scores_gemma":[0.9983829,0.000050594906,0.00014815282,0.000127986,0.000052616797,0.0012376973],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016106036,0.00012886677,0.00033986245,0.00025722955,0.0002542119,0.000048635036,0.0002998087,0.00007843684,0.00022555354],"category_scores_gemma":[0.00007218776,0.00009576138,0.00013084809,0.00047330552,0.000060926413,0.00029447416,0.000007740482,0.0005322012,0.0000031751001],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026146264,0.00004062518,0.96515965,0.0002730098,0.000016176435,0.00002459017,0.031761907,0.00003533923,0.00007684922,0.000011880872,0.00018173223,0.0021567547],"study_design_scores_gemma":[0.0008244405,0.0001568681,0.9923045,0.00066845934,0.000028239927,0.0000057754387,0.004490456,0.0000013269646,0.000002398207,0.00012246284,0.0013109493,0.00008409877],"about_ca_topic_score_codex":0.02108416,"about_ca_topic_score_gemma":0.17814097,"teacher_disagreement_score":0.15705681,"about_ca_system_score_codex":0.00057360274,"about_ca_system_score_gemma":0.0024860606,"threshold_uncertainty_score":0.98543453},"labels":[],"label_agreement":null},{"id":"W4394707822","doi":"10.1177/03611981241239650","title":"Perturbation of Residential Preferences by COVID-19 Shocks in the Greater Toronto Area","year":2024,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Relocation; Telecommuting; Travel behavior; Residence; Proxy (statistics); Coronavirus disease 2019 (COVID-19); Mixed logit; Preference; Geography; Demographic economics; Business; Transport engineering; Logistic regression; Engineering; Economics; Computer science","score_opus":0.14065263296848377,"score_gpt":0.440023978389857,"score_spread":0.2993713454213732,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394707822","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.984032,0.0016888488,0.0007506765,0.010496672,0.00048102657,0.0011245605,0.00012669407,0.000027788854,0.0012717786],"genre_scores_gemma":[0.99630404,0.0016870454,0.00010653538,0.00007505055,0.00021135467,0.00007403017,0.000033767035,0.000023248227,0.0014849429],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98974144,0.0027284375,0.0014376646,0.0004404973,0.0049021295,0.0007498286],"domain_scores_gemma":[0.9955753,0.0019512698,0.00028590628,0.00039232586,0.0014564275,0.00033874298],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0118206255,0.00020265068,0.00037525434,0.0005280637,0.00078911515,0.00032158112,0.0017040145,0.00023756521,0.001625007],"category_scores_gemma":[0.00041817437,0.00012650769,0.00037705025,0.0021115749,0.0013119562,0.0014165612,0.0000047609683,0.0015646302,0.0000054897423],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014695372,0.00035779446,0.84535176,0.00063833105,0.0001367135,0.00014036642,0.11010713,0.00018130123,0.0013192506,0.007028869,0.029186135,0.004082783],"study_design_scores_gemma":[0.00080517307,0.0003622976,0.91564256,0.00039993649,0.0000696859,1.7504128e-7,0.028880289,0.000051333092,0.0004177727,0.016781215,0.036400184,0.00018937212],"about_ca_topic_score_codex":0.17704944,"about_ca_topic_score_gemma":0.6455638,"teacher_disagreement_score":0.46851432,"about_ca_system_score_codex":0.0005688869,"about_ca_system_score_gemma":0.00206162,"threshold_uncertainty_score":0.99928766},"labels":[],"label_agreement":null},{"id":"W4394727067","doi":"10.1186/s12889-024-18531-9","title":"Promoting children’s health through community-led street interventions: analyzing sustained voluntarism in Canadian School Streets","year":2024,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Montréal; Queen's University","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Voluntarism (philosophy); Psychological intervention; Public health; Status quo; Nursing; Health promotion; Gerontology; Medical education; Public relations; Political science","score_opus":0.062351745241361604,"score_gpt":0.3841778704884183,"score_spread":0.32182612524705667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394727067","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9457455,0.0037002559,0.0006196139,0.046194524,0.00037152573,0.0013621738,0.000119702396,0.00032973036,0.0015569679],"genre_scores_gemma":[0.9975073,0.00012401657,0.0005484101,0.00095477817,0.00022623372,0.000048339203,0.00033476984,0.00002620607,0.00022994695],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9939463,0.0024564827,0.0010283929,0.0004560204,0.00040127896,0.0017115348],"domain_scores_gemma":[0.9976273,0.00019566373,0.00020265704,0.00045211072,0.000113234135,0.001409037],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.011789693,0.00021121881,0.00043297315,0.0005814812,0.0020023435,0.0006189802,0.0006767281,0.00014580389,0.0003619185],"category_scores_gemma":[0.0009041801,0.00021900427,0.0001981028,0.0018895932,0.00017686325,0.0013470128,0.000060244707,0.0012408204,0.000017064487],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.0000017354569,0.00015809685,0.95365405,0.0005893908,0.000021545058,0.000003970061,0.033363137,0.0000013056523,5.3620155e-8,0.0040712715,0.0011436268,0.006991802],"study_design_scores_gemma":[0.00034435763,0.00009507083,0.96532923,0.0007342468,0.0000059562362,4.80921e-7,0.021773601,0.00022982547,1.9170986e-7,0.0017614621,0.009499604,0.00022599331],"about_ca_topic_score_codex":0.9889915,"about_ca_topic_score_gemma":0.9991755,"teacher_disagreement_score":0.051761795,"about_ca_system_score_codex":0.004964003,"about_ca_system_score_gemma":0.026302503,"threshold_uncertainty_score":0.9992969},"labels":[],"label_agreement":null},{"id":"W4394761553","doi":"10.1016/j.envint.2024.108627","title":"Associations of perceived built environment characteristics using NEWS questionnaires with all-cause mortality and major cardiovascular diseases: The prospective urban rural epidemiology (PURE)-China study","year":2024,"lang":"en","type":"article","venue":"Environment International","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; Hamilton Health Sciences; McMaster University; Population Health Research Institute","funders":"","keywords":"Epidemiology; Environmental health; China; Medicine; Prospective cohort study; Gerontology; Demography; Geography; Internal medicine","score_opus":0.04972295027999091,"score_gpt":0.3318547428087868,"score_spread":0.2821317925287959,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394761553","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958359,0.0007801799,0.0013271124,0.0006810298,0.00023507231,0.0006774829,0.0003319766,0.000029378527,0.00010185827],"genre_scores_gemma":[0.99896145,0.0002963965,0.00013742893,0.000029809067,0.00029415,0.00005782965,0.00009761007,0.000012236905,0.00011309469],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99813396,0.00039052285,0.0003662582,0.00035310705,0.00056778727,0.0001883669],"domain_scores_gemma":[0.99933386,0.00018051776,0.00014492977,0.00024678648,0.00001484088,0.000079058795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077229174,0.00015239482,0.0002735165,0.000040856998,0.0002681201,0.000056498793,0.00022451232,0.00005621664,0.00024019441],"category_scores_gemma":[0.00011166485,0.000108670196,0.00014288706,0.000047879163,0.0005187117,0.00024552763,0.00006239198,0.00016341933,0.0000051766315],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015609156,0.0002875823,0.990584,0.0000063880884,0.0018385947,0.000009188435,0.0059682634,0.00026420725,0.000021684424,0.0006972672,0.000021684707,0.00028550948],"study_design_scores_gemma":[0.0002109208,0.000053320495,0.9949029,0.000023576808,0.00084312184,5.9659476e-7,0.0018360255,0.0004279595,0.0000019237368,0.0009992975,0.0005785478,0.000121785226],"about_ca_topic_score_codex":0.0067102048,"about_ca_topic_score_gemma":0.00068762276,"teacher_disagreement_score":0.006022582,"about_ca_system_score_codex":0.0004250873,"about_ca_system_score_gemma":0.00005548449,"threshold_uncertainty_score":0.9999042},"labels":[],"label_agreement":null},{"id":"W4394774256","doi":"10.2196/54207","title":"Leveraging Ecological Momentary Assessment Data to Characterize Individual Mobility: Exploratory Pilot Study in Rural Uganda","year":2024,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Allergy and Infectious Diseases; National Institute on Aging; National Institute of Mental Health; Johns Hopkins University","keywords":"Geography; Population; Demography; Descriptive statistics; Cohort; Global Positioning System; Rural area; Environmental health; Medicine; Psychology; Statistics; Computer science; Mathematics","score_opus":0.3425985327368573,"score_gpt":0.49592895701706813,"score_spread":0.15333042428021082,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394774256","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9943456,0.00005327172,0.000023918656,0.0016537606,0.0002837516,0.002143002,0.00019678319,0.00010218115,0.0011977013],"genre_scores_gemma":[0.9987734,0.000016203978,0.00003488589,0.00008068202,0.00016952145,0.0006445302,0.0001885381,0.000011279208,0.00008093441],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99523944,0.0013252853,0.0004576285,0.0005494281,0.0016382586,0.00078995497],"domain_scores_gemma":[0.99858296,0.0005051875,0.00003137553,0.00050880393,0.00012024183,0.00025140253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010935213,0.00015415775,0.00026080786,0.00040512375,0.00059918367,0.00057987985,0.001327291,0.000053138814,0.00071931496],"category_scores_gemma":[0.00008113433,0.0001264788,0.000031189502,0.0013957606,0.00032839007,0.0025073604,0.00090111996,0.0009789278,0.00010505727],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015057312,0.0047502643,0.7849147,0.000118348464,0.000075024196,0.000118858516,0.19498566,0.0000014002059,0.0002680975,0.00019345192,0.0029459663,0.011477661],"study_design_scores_gemma":[0.0003183916,0.0010189087,0.90988046,0.000062750696,0.000004712357,1.164133e-7,0.08552805,0.00011336748,0.000010025219,0.00043635062,0.0024835034,0.00014338619],"about_ca_topic_score_codex":0.001658483,"about_ca_topic_score_gemma":0.004002165,"teacher_disagreement_score":0.124965735,"about_ca_system_score_codex":0.0007192792,"about_ca_system_score_gemma":0.00070247945,"threshold_uncertainty_score":0.78759944},"labels":[],"label_agreement":null},{"id":"W4394783910","doi":"10.1177/03611981241240754","title":"If You Cut It Will They Ride? Longitudinal Examination of the Elasticity of Public Transport Ridership in the Post-Pandemic Era","year":2024,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Public transport; Pandemic; Business; Coronavirus disease 2019 (COVID-19); Service (business); Transport engineering; Finance; Marketing; Engineering; Medicine","score_opus":0.15374902022417716,"score_gpt":0.41364621232215937,"score_spread":0.25989719209798223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394783910","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9827119,0.000444232,0.0004258978,0.013346544,0.00062551827,0.0014939851,0.00016637868,0.0000262505,0.00075928395],"genre_scores_gemma":[0.99800086,0.0010068809,0.00008198844,0.00003832635,0.00024858754,0.00005949029,0.000025591033,0.000039188555,0.0004990788],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9852295,0.004261655,0.0022910326,0.00054669945,0.0066066016,0.0010644943],"domain_scores_gemma":[0.99149966,0.003003839,0.0006349221,0.0006544723,0.0039421436,0.0002649645],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.023352215,0.00030016692,0.00059448055,0.0011145696,0.0008754161,0.00017614209,0.0027669698,0.00031614339,0.0005148147],"category_scores_gemma":[0.00074178685,0.00017754447,0.0007954538,0.0044506663,0.0024028989,0.0017104158,0.000008205572,0.003340724,0.0000045592556],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046244916,0.00039686591,0.94241035,0.00052627333,0.00012759885,0.00004294469,0.043633197,0.00029657801,0.00078782684,0.006702261,0.00028092499,0.00433274],"study_design_scores_gemma":[0.0007122925,0.00030854694,0.9743258,0.0007132268,0.00011287409,3.5866051e-7,0.015708625,0.000059342,0.00034415265,0.0049262214,0.0026212975,0.00016730686],"about_ca_topic_score_codex":0.03905803,"about_ca_topic_score_gemma":0.48859808,"teacher_disagreement_score":0.44954005,"about_ca_system_score_codex":0.00034848836,"about_ca_system_score_gemma":0.002714928,"threshold_uncertainty_score":0.9989586},"labels":[],"label_agreement":null},{"id":"W4394804751","doi":"10.1089/chi.2024.0211","title":"Relationships Between Measures of the Physical Activity-Related Built Environment and Excess Weight in Preschoolers: A Retrospective, Population-Level Cohort Study","year":2024,"lang":"en","type":"article","venue":"Childhood Obesity","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Canadian VIGOUR Centre; Western University; University of Alberta","funders":"","keywords":"Built environment; Retrospective cohort study; Physical activity; Cohort study; Medicine; Cohort; Gerontology; Population; Psychology; Environmental health; Demography; Pediatrics; Developmental psychology; Physical therapy; Engineering; Surgery; Internal medicine","score_opus":0.037278143131348584,"score_gpt":0.28189706514562607,"score_spread":0.24461892201427748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394804751","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977669,0.00015926824,0.000027712542,0.0002533325,0.00009596912,0.0010305804,0.000038269754,0.000048399448,0.0005795857],"genre_scores_gemma":[0.9997167,0.000013040773,0.0000100750985,0.0000016563729,0.00010149577,0.000019931893,0.000005379284,0.000009623729,0.00012211181],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981226,0.0005085478,0.00021920564,0.00041426963,0.00055807,0.00017733057],"domain_scores_gemma":[0.9994052,0.000146484,0.000083300016,0.00027129712,0.000020495498,0.00007323207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001126978,0.00012993401,0.000268366,0.00006150626,0.00043350554,0.000056716766,0.00023591224,0.00011041044,0.000015310274],"category_scores_gemma":[0.00013616146,0.00009947367,0.000084489926,0.00044010874,0.00021098318,0.00040503874,0.000062372455,0.00055223395,0.000006076003],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000033830609,0.00082142215,0.9881049,0.000010301489,0.00006202518,9.605103e-7,0.010100906,0.000008797734,0.000007011493,0.00029704132,0.00000760578,0.00057565654],"study_design_scores_gemma":[0.00021671466,0.000023908571,0.9919179,0.00004744371,0.000106084626,4.8331497e-8,0.00038278513,0.00001953917,0.000043575063,0.007119433,0.000011767734,0.000110766545],"about_ca_topic_score_codex":0.0066080303,"about_ca_topic_score_gemma":0.0049077147,"teacher_disagreement_score":0.009718121,"about_ca_system_score_codex":0.00017228066,"about_ca_system_score_gemma":0.00007404579,"threshold_uncertainty_score":0.9989409},"labels":[],"label_agreement":null},{"id":"W4394865833","doi":"10.1016/j.jth.2024.101807","title":"Older adults’ staying at home in greater Tokyo: Association with population density and roles of car ownership and public transport","year":2024,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Odds ratio; Demography; Odds; Confidence interval; Logistic regression; Metropolitan area; Public transport; Car ownership; Population; Population density; Medicine; Gerontology; Geography; Environmental health; Sociology; Transport engineering","score_opus":0.021152507858568346,"score_gpt":0.28036723999731156,"score_spread":0.2592147321387432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394865833","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99471635,0.0016144537,0.00009663274,0.0031456451,0.00012673416,0.00022547937,0.00002011111,0.000018525994,0.000036083642],"genre_scores_gemma":[0.99918824,0.0004391655,0.0001358361,0.00006617017,0.000090118294,0.0000015129465,0.000016624756,0.000012382711,0.00004995034],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980233,0.00011179494,0.0007195721,0.0002229521,0.00059961603,0.00032278497],"domain_scores_gemma":[0.99911916,0.00005749658,0.00037912405,0.00007180423,0.00014502076,0.00022738609],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002118828,0.00012923802,0.0004422805,0.00022101733,0.00017036207,0.000030267398,0.00008343788,0.0001303541,0.000031157677],"category_scores_gemma":[0.000010229361,0.00009844705,0.00008127748,0.0003339519,0.00009422194,0.0007244267,0.000002180634,0.00028652177,1.3998354e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017672521,0.00004891408,0.97062266,0.0004091839,0.000031881256,0.000036607704,0.02639962,0.000003585861,0.000011628311,0.00007255078,0.0000056893855,0.0021809698],"study_design_scores_gemma":[0.0006422545,0.000110644585,0.99575394,0.000503086,0.00005244509,0.0000045732827,0.0025728014,0.0000092777445,0.000024638846,0.00010938343,0.00011275833,0.000104170314],"about_ca_topic_score_codex":0.005396541,"about_ca_topic_score_gemma":0.09952921,"teacher_disagreement_score":0.09413266,"about_ca_system_score_codex":0.00041553474,"about_ca_system_score_gemma":0.00036725888,"threshold_uncertainty_score":0.91690207},"labels":[],"label_agreement":null},{"id":"W4394872058","doi":"10.2139/ssrn.4798043","title":"Deciphering the Character of Public Transport Participation in Subjective Well-Being: Evidence from Hangzhou, China","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"China; Character (mathematics); Economic geography; Political science; Geography; Regional science; Development economics; Economics","score_opus":0.029596086670914748,"score_gpt":0.3229578890673399,"score_spread":0.2933618023964252,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394872058","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98629636,0.0067696893,0.001247271,0.003117793,0.0007644752,0.00039780256,0.000007690713,0.00003985848,0.0013590938],"genre_scores_gemma":[0.9938504,0.0049685272,0.00001585232,0.000019756802,0.00073033554,0.00003853494,0.000012701805,0.000026109163,0.00033775537],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99593085,0.00045669838,0.00073473185,0.00046638164,0.0007012313,0.0017101123],"domain_scores_gemma":[0.99884266,0.00019419851,0.00041706357,0.0003088311,0.00013449612,0.000102763486],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0067062527,0.00024602737,0.00040037697,0.00015269268,0.0002937791,0.00017758113,0.00091439113,0.00028248326,0.00018465503],"category_scores_gemma":[0.00016959674,0.00018615997,0.00031159585,0.00045924564,0.000250932,0.00045103254,0.0000868148,0.0047412207,0.000010378836],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006738806,0.000112211266,0.93477243,0.00004032013,0.00020827798,0.000009418415,0.045847178,0.000058251742,0.00010844963,0.009119334,0.0000029073028,0.009653824],"study_design_scores_gemma":[0.00010902383,0.000028788849,0.6270676,0.00042227347,0.00011370749,6.8457916e-7,0.0021569189,0.00006647173,0.000113105474,0.36966845,0.00008546726,0.00016746043],"about_ca_topic_score_codex":0.019966198,"about_ca_topic_score_gemma":0.2522644,"teacher_disagreement_score":0.36054912,"about_ca_system_score_codex":0.0014510585,"about_ca_system_score_gemma":0.0059462213,"threshold_uncertainty_score":0.99968916},"labels":[],"label_agreement":null},{"id":"W4394894211","doi":"10.1136/bmjopen-2024-085850","title":"Building CapaCITY/É for sustainable transportation: protocol for an implementation science research program in healthy cities","year":2024,"lang":"en","type":"article","venue":"BMJ Open","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia; Université du Québec à Montréal; University of Calgary; Queen's University; University of Toronto; Université de Sherbrooke; Public Health Ontario; York University; Dalhousie University; Toronto Metropolitan University; McGill University; University of Ottawa; Simon Fraser University; Institut National de la Recherche Scientifique; Université de Montréal; University of Saskatchewan","funders":"National Health and Medical Research Council; Medical Research Council; Canadian Institutes of Health Research; Simon Fraser University","keywords":"Psychological intervention; Sustainable transport; Nexus (standard); Equity (law); Population health; Capacity building; Medicine; Public relations; Population; Sustainability; Political science; Economic growth; Engineering; Environmental health; Economics","score_opus":0.4034354109291843,"score_gpt":0.6455665871952494,"score_spread":0.24213117626606512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394894211","genre_codex":"protocol","genre_gemma":"protocol","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"protocol","genre_consensus":"protocol","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18703446,0.0000037348088,0.0011416236,0.001696805,0.000070358794,0.80736756,0.000036220652,0.0000913926,0.002557827],"genre_scores_gemma":[0.3112744,1.410799e-7,0.011347343,0.000027813849,0.00013215776,0.6768471,0.000017896928,0.000008523097,0.00034460117],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99789256,0.00011421295,0.00034019368,0.0004416933,0.0005108993,0.0007004146],"domain_scores_gemma":[0.999016,0.00015324201,0.000046722616,0.00015318839,0.00051710213,0.000113744],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.01271443,0.00007266017,0.00012655173,0.00021757498,0.0012734273,0.0014101692,0.0006791141,0.000046833695,0.00006304419],"category_scores_gemma":[0.00012371341,0.00006824651,0.000036794314,0.0012290904,0.00044657756,0.0029006617,0.000019856121,0.00010225429,6.4359097e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014458527,0.00035859476,0.044234253,0.0037783894,0.000008794419,0.0000080143145,0.051675804,0.000012001668,0.0001527133,0.8012861,0.0023250247,0.094714485],"study_design_scores_gemma":[0.003189304,0.002627339,0.05160352,0.00038652198,0.000011459983,1.4321715e-7,0.1089635,0.00058130006,0.0013726121,0.25948328,0.57132286,0.00045816344],"about_ca_topic_score_codex":0.02084954,"about_ca_topic_score_gemma":0.074581966,"teacher_disagreement_score":0.56899786,"about_ca_system_score_codex":0.00034602458,"about_ca_system_score_gemma":0.003053702,"threshold_uncertainty_score":0.99962646},"labels":[],"label_agreement":null},{"id":"W4394939387","doi":"10.2139/ssrn.4798049","title":"Risk-Taking Behavior of Electric Cyclists and Policy Suggestions: A Case Study","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Business; Psychology; Public economics; Economics","score_opus":0.023881050653710666,"score_gpt":0.36605143191747674,"score_spread":0.3421703812637661,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394939387","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9843151,0.013651822,0.00008026655,0.00025611318,0.00033089382,0.00076807215,0.000023944775,0.00007021743,0.0005035992],"genre_scores_gemma":[0.99282295,0.0057821563,0.000027382323,0.000006230409,0.00086257776,0.000045194167,0.0000028267023,0.00003245812,0.0004182029],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99598265,0.00049650663,0.0006698637,0.00050702627,0.0005563361,0.0017876391],"domain_scores_gemma":[0.9980629,0.000114296134,0.0011697643,0.00028784038,0.00019454729,0.00017063657],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0047429567,0.00028423767,0.00045679408,0.00056817033,0.00076239,0.00025851483,0.0004452654,0.00028474783,0.000025728697],"category_scores_gemma":[0.00049831945,0.00026095504,0.00024532323,0.0007122922,0.00018967254,0.00012816071,0.00018622934,0.0061706123,0.0000027860501],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031073643,0.000662319,0.9172139,0.00006842424,0.00039236664,0.00079634215,0.013664525,0.000009435785,0.000020624879,0.013323676,0.00000736066,0.053809915],"study_design_scores_gemma":[0.000844913,0.0005299849,0.31990623,0.00021094455,0.0024429045,0.001534998,0.050086524,0.000040229665,0.000014404907,0.62358284,0.000064566295,0.000741465],"about_ca_topic_score_codex":0.098154396,"about_ca_topic_score_gemma":0.17796452,"teacher_disagreement_score":0.6102592,"about_ca_system_score_codex":0.0015337276,"about_ca_system_score_gemma":0.0115473475,"threshold_uncertainty_score":0.99998426},"labels":[],"label_agreement":null},{"id":"W4394979376","doi":"10.1093/sleep/zsae067.0291","title":"0291 Evaluating Sleep Quality Metrics Using Zero-Effort Technology: Implications for Public Health Dynamics","year":2024,"lang":"en","type":"article","venue":"SLEEP","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Sleep quality; Zero (linguistics); Quality (philosophy); Public health; Dynamics (music); Sleep (system call); Psychology; Computer science; Medicine; Psychiatry; Insomnia; Physics","score_opus":0.2023539325016191,"score_gpt":0.47235618594861223,"score_spread":0.27000225344699313,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394979376","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6557159,0.002214318,0.3066782,0.03072368,0.00087357324,0.0011971389,0.00020925897,0.0007334241,0.0016545405],"genre_scores_gemma":[0.98849726,0.000026327261,0.010769266,0.00018952655,0.00016033169,0.00008681951,0.000096351665,0.000022151025,0.00015197098],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979067,0.000102938735,0.00053073873,0.00049029477,0.00034108583,0.0006282718],"domain_scores_gemma":[0.99881864,0.00019818387,0.00016280926,0.0003716934,0.0002749981,0.00017366992],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004440783,0.00013684717,0.00025040563,0.00036720853,0.0012537391,0.00024977385,0.00043827007,0.00018933557,0.00003770219],"category_scores_gemma":[0.0006391672,0.00013682773,0.00015446974,0.0026760446,0.00028221245,0.00043199313,0.00004655857,0.00022875554,0.000007497961],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000033350536,0.000104319304,0.43793342,0.00014834825,0.00004783432,3.416331e-7,0.001517928,0.000028805054,0.000061436214,0.27939856,0.00012065196,0.280635],"study_design_scores_gemma":[0.00094947306,0.0002768956,0.2377089,0.0001358044,0.0002848573,0.0000020955492,0.008008129,0.18715517,0.0000618694,0.51269126,0.051413547,0.0013120243],"about_ca_topic_score_codex":0.0014239609,"about_ca_topic_score_gemma":0.0038996094,"teacher_disagreement_score":0.33278137,"about_ca_system_score_codex":0.00090921356,"about_ca_system_score_gemma":0.00073329,"threshold_uncertainty_score":0.96428746},"labels":[],"label_agreement":null},{"id":"W4395027889","doi":"10.2139/ssrn.4783730","title":"End of the Line: The Effects of Large Passenger Rail Cuts on Local Economic Outcomes","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Line (geometry); Business; Transport engineering; Engineering; Mathematics; Geometry","score_opus":0.005585895605182249,"score_gpt":0.27943908204040474,"score_spread":0.2738531864352225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4395027889","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9900007,0.0032950402,0.0002942758,0.0036636917,0.0009630484,0.00016865131,0.000005876001,0.0000150985215,0.001593609],"genre_scores_gemma":[0.99697787,0.0006880072,0.0000012026476,0.000075446216,0.00025691814,0.000002549304,4.3582352e-7,0.000009089088,0.0019884752],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99830955,0.0001888342,0.00026485638,0.0001287905,0.00027642032,0.0008315229],"domain_scores_gemma":[0.9992418,0.000408222,0.00011761964,0.00016898956,0.000026770373,0.00003658448],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021130722,0.00009598476,0.00017428592,0.00003707932,0.00026589617,0.00003699586,0.00047040268,0.00006793664,0.000095767835],"category_scores_gemma":[0.00006850146,0.000047957717,0.0002706945,0.00013550733,0.00028413616,0.00012247413,0.00001950838,0.0009928495,0.000012549954],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007994751,0.00027479362,0.22908162,0.00013691903,0.0006663382,0.000007737769,0.007450491,0.000055206132,0.00043049327,0.7256041,0.0008050848,0.035407282],"study_design_scores_gemma":[0.002190165,0.00083814,0.4066479,0.000483229,0.00058668066,0.000017165803,0.009605101,0.00029661306,0.009328376,0.5224074,0.046996925,0.0006022824],"about_ca_topic_score_codex":0.00056016684,"about_ca_topic_score_gemma":0.018750966,"teacher_disagreement_score":0.20319667,"about_ca_system_score_codex":0.00043213266,"about_ca_system_score_gemma":0.0022587914,"threshold_uncertainty_score":0.99915427},"labels":[],"label_agreement":null},{"id":"W4395101846","doi":"10.29327/222866.14.1-6","title":"MOTIVOS DA ESCOLHA DO USO DO AUTOMÓVEL COMO MODO PRINCIPAL DE TRANSPORTE PELA POPULAÇÃO DA CIDADE DE CARUARU-PE","year":2023,"lang":"pt","type":"article","venue":"Revista Dimensão","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Transport Canada","funders":"","keywords":"Humanities; Philosophy; Physics","score_opus":0.05232491071012243,"score_gpt":0.3398625564489962,"score_spread":0.2875376457388738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4395101846","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98937213,0.0029162685,0.00035884033,0.0011413993,0.0006690408,0.001529058,0.00073262956,0.00071113673,0.0025694827],"genre_scores_gemma":[0.98512924,0.0005949959,0.00018760184,0.0002432146,0.0005645851,0.00008149919,0.00021237251,0.00014251887,0.012844003],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99204576,0.00074940117,0.0015209174,0.0016674771,0.0015118682,0.0025045811],"domain_scores_gemma":[0.99650264,0.00025556498,0.0005670374,0.0013322758,0.00020949678,0.0011330035],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0033993078,0.0008976191,0.0013445264,0.00029178697,0.0013551951,0.0011228176,0.0016358959,0.0007504405,0.0013739787],"category_scores_gemma":[0.00016449743,0.00093102624,0.00086152076,0.0023652085,0.0007635488,0.00067604973,0.00014527614,0.0011273016,0.00046385897],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017589472,0.0006946333,0.9312814,0.0014722478,0.0003616971,0.0006538767,0.0472225,0.00048639943,0.001257925,0.008357858,0.003461574,0.0045740046],"study_design_scores_gemma":[0.0022146213,0.00024401856,0.9195441,0.0012796423,0.0011718372,0.0000092924165,0.009539889,0.003318943,0.00042886316,0.0017487714,0.05819831,0.0023017372],"about_ca_topic_score_codex":0.0053710463,"about_ca_topic_score_gemma":0.0018245411,"teacher_disagreement_score":0.054736733,"about_ca_system_score_codex":0.0009942867,"about_ca_system_score_gemma":0.0013096143,"threshold_uncertainty_score":0.9999449},"labels":[],"label_agreement":null},{"id":"W4395112457","doi":"10.1088/1748-9326/ad42b3","title":"Data gaps in transport behavior are bottleneck for tracking progress towards healthy sustainable transport in European cities","year":2024,"lang":"en","type":"article","venue":"Environmental Research Letters","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Agencia Estatal de Investigación; HORIZON EUROPE Framework Programme; Generalitat de Catalunya; European Commission; Ministerio de Ciencia e Innovación; Centres de Recerca de Catalunya","keywords":"Bottleneck; Benchmarking; Harmonization; Public transport; Sustainable transport; Pedestrian; Travel survey; Climate change; Open data; Business; Transport engineering; Environmental planning; Travel behavior; Computer science; Sustainability; Environmental science; Engineering","score_opus":0.09839137853897054,"score_gpt":0.3985827697360773,"score_spread":0.3001913911971068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4395112457","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9879274,0.002054572,0.00012810413,0.006916559,0.000121479934,0.0017243787,0.00046718164,0.00006873371,0.0005916175],"genre_scores_gemma":[0.99765825,0.00028125342,0.00011962833,0.00018186658,0.0001801043,0.0002733095,0.00047211003,0.00005210271,0.0007813747],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99583477,0.00040624719,0.00048477325,0.000880915,0.001077584,0.0013157099],"domain_scores_gemma":[0.9991584,0.00012570087,0.000039000166,0.00045840087,0.000011031706,0.00020751047],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005852757,0.00019457433,0.0002556005,0.00036127612,0.0004084194,0.00012656732,0.0010079675,0.000091347974,0.00022583028],"category_scores_gemma":[0.000026838734,0.00020102675,0.000095603165,0.00051831553,0.0013296464,0.0011834338,0.00006446002,0.0006799056,0.000013642776],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013822073,0.000391826,0.97154874,0.00039897434,0.000010336654,0.0017607909,0.010176998,0.000011285801,0.00022704297,0.000102336155,0.00038694474,0.014846485],"study_design_scores_gemma":[0.00047006476,0.000063111846,0.9438152,0.00015029187,0.000012996021,5.2567435e-7,0.018274246,0.000024208179,0.00009029969,0.000089887806,0.03678031,0.00022889409],"about_ca_topic_score_codex":0.0030837718,"about_ca_topic_score_gemma":0.0084645385,"teacher_disagreement_score":0.036393363,"about_ca_system_score_codex":0.0009628455,"about_ca_system_score_gemma":0.00023127746,"threshold_uncertainty_score":0.8197633},"labels":[],"label_agreement":null},{"id":"W4395463618","doi":"10.1177/03611981241242362","title":"Toward a Better Understanding of the Construction Impacts of a Light Rail System in Montréal, Canada","year":2024,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Perception; Business; Exploratory factor analysis; Exploratory research; Public transport; Marketing; Geography; Public relations; Psychology; Environmental planning; Transport engineering; Political science; Engineering; Sociology","score_opus":0.09565976732028128,"score_gpt":0.3635978474713904,"score_spread":0.2679380801511091,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4395463618","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9873992,0.0008660692,0.00037953208,0.009032057,0.0009440721,0.0008315969,0.00008925237,0.000014547126,0.0004436469],"genre_scores_gemma":[0.9991115,0.00042176025,0.00016715491,0.000013917686,0.00012104466,0.000017670609,0.000003596401,0.000023582665,0.000119771554],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9920272,0.0013234647,0.001554555,0.00029412415,0.004141694,0.00065893796],"domain_scores_gemma":[0.9966612,0.0008829293,0.00044191495,0.0003255776,0.001458014,0.0002303696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0053501897,0.00016964242,0.00045118842,0.0006894086,0.0004769056,0.00009633295,0.00096831116,0.00017017973,0.00012867339],"category_scores_gemma":[0.00015704618,0.00011108692,0.00037119284,0.0033818514,0.001046231,0.0006173931,0.0000055129444,0.0015398145,9.370763e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00065877096,0.00010341954,0.95626837,0.0016283174,0.00015822281,0.0001278945,0.018788122,0.00018159434,0.0025727656,0.015501255,0.0025594148,0.0014518766],"study_design_scores_gemma":[0.00081816746,0.00013256524,0.94395185,0.0024529558,0.00007125823,3.4322966e-7,0.040415697,0.00007064303,0.002896479,0.0041852905,0.0048562787,0.0001484553],"about_ca_topic_score_codex":0.83254784,"about_ca_topic_score_gemma":0.9817224,"teacher_disagreement_score":0.14917454,"about_ca_system_score_codex":0.0013071768,"about_ca_system_score_gemma":0.0043674577,"threshold_uncertainty_score":0.77476823},"labels":[],"label_agreement":null},{"id":"W4395477194","doi":"10.46827/ejse.v10i1.5193","title":"REHABILITEES WITH VISUAL IMPAIRMENTS’ CANE SKILLS AND THEIR INFLUENCE ON INDEPENDENT TRAVEL IN NAIROBI CITY COUNTY, KENYA","year":2024,"lang":"en","type":"article","venue":"European Journal of Special Education Research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Education and Early Childhood Development","funders":"University of South Africa","keywords":"Cane; Geography; Optometry; Socioeconomics; Psychology; Medicine; Sociology; Biology","score_opus":0.023389428108347408,"score_gpt":0.36901112914638606,"score_spread":0.34562170103803863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4395477194","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9770434,0.00025385513,0.0000072775442,0.0017004071,0.00041448796,0.00024276259,0.0000060702996,0.000008138781,0.020323632],"genre_scores_gemma":[0.9968554,0.00018619937,0.000037922608,0.00005800218,0.0019420376,0.0000024122512,0.0000015564004,0.0000140698,0.00090242137],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99723387,0.0008855186,0.00041180756,0.0002523917,0.00090392143,0.00031248268],"domain_scores_gemma":[0.99880856,0.00028959377,0.00009062861,0.0001148532,0.00046319803,0.0002331487],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0065580127,0.00010891064,0.00016400569,0.00044289965,0.00026904081,0.00035936452,0.00034056394,0.000033964607,0.0003485647],"category_scores_gemma":[0.00029106982,0.000077330886,0.00004601802,0.00074160483,0.0005745344,0.00047469698,0.000029702618,0.000790196,0.0000146285665],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038193533,0.002233315,0.81139046,0.0001106681,0.00004178203,0.00025841861,0.10146556,0.000020552374,0.0003647872,0.0016012222,0.0029589906,0.07917233],"study_design_scores_gemma":[0.00024141173,0.00048158542,0.9712614,0.00040000275,0.0000034952461,0.000006498066,0.010790087,0.000001462739,0.000080511854,0.00050645164,0.016135842,0.0000912895],"about_ca_topic_score_codex":0.0006606693,"about_ca_topic_score_gemma":0.0015517469,"teacher_disagreement_score":0.15987092,"about_ca_system_score_codex":0.00038900855,"about_ca_system_score_gemma":0.0020106193,"threshold_uncertainty_score":0.3816539},"labels":[],"label_agreement":null},{"id":"W4395690206","doi":"10.1080/09687599.2024.2331728","title":"Facilitators and barriers to inclusive and safe mobility on urban roads in Kathmandu, Nepal: a participatory research study","year":2024,"lang":"en","type":"article","venue":"Disability & Society","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"International Development Research Centre","funders":"University of the West of England","keywords":"Citizen journalism; Participatory action research; Sociology; Geography; Socioeconomics; Economic growth; Environmental planning; Political science","score_opus":0.07194821613267058,"score_gpt":0.4231087845969029,"score_spread":0.35116056846423227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4395690206","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99403214,0.0005196994,0.0000031405239,0.0024643275,0.00015880725,0.0018417594,0.000066410794,0.00011353495,0.0008001726],"genre_scores_gemma":[0.99929,0.000027909748,0.000024572291,0.00016691994,0.000105341096,0.00025714916,0.00000304524,0.000014449901,0.00011063138],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.995612,0.001079142,0.00046602503,0.0011714298,0.0008785476,0.00079285784],"domain_scores_gemma":[0.9976243,0.0009983997,0.000022691664,0.0004934799,0.00010897625,0.00075217086],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01035979,0.00022363779,0.0003568493,0.000047953243,0.0010879465,0.00023367343,0.0002758578,0.00018840576,0.00018302922],"category_scores_gemma":[0.0012003981,0.00020195493,0.0001537822,0.0010630281,0.0025925806,0.0003792681,0.00023611393,0.00068133255,0.00001136804],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047445756,0.00030003846,0.70944005,0.000081186845,0.00002092167,0.00000326399,0.28738585,0.0000020826064,0.000010673541,0.00034664397,0.00046522514,0.0018965908],"study_design_scores_gemma":[0.00026489235,0.00020827362,0.79680854,0.000035519734,0.000015800306,3.372113e-8,0.19630796,0.00010562686,0.00000923621,0.0023742057,0.0036805007,0.00018940253],"about_ca_topic_score_codex":0.014151676,"about_ca_topic_score_gemma":0.035875466,"teacher_disagreement_score":0.09107791,"about_ca_system_score_codex":0.00082734186,"about_ca_system_score_gemma":0.00044071523,"threshold_uncertainty_score":0.99241316},"labels":[],"label_agreement":null},{"id":"W4395703369","doi":"10.1016/j.cities.2024.105042","title":"Understanding user behaviors and safety concerns on shared use paths in Edmonton, Canada","year":2024,"lang":"en","type":"article","venue":"Cities","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business; Internet privacy; Computer science","score_opus":0.10571460233211767,"score_gpt":0.30666776468423707,"score_spread":0.2009531623521194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4395703369","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9929848,0.0002873215,0.00001539338,0.0005183048,0.00036320745,0.00011353056,0.00011437577,0.000046224395,0.0055568866],"genre_scores_gemma":[0.99705684,0.000059787988,0.0000047350723,0.00009239671,0.00006516465,0.000004800542,0.000010465688,0.0000061752016,0.002699629],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992985,0.000033724074,0.0001225714,0.00017090909,0.00019177244,0.00018249],"domain_scores_gemma":[0.9997108,0.00013831405,0.000013493183,0.00006551593,0.000011682696,0.000060202507],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015757138,0.00006830707,0.00009245599,0.00003665987,0.00018627408,0.0001688069,0.000072784766,0.000032738404,0.0002216479],"category_scores_gemma":[0.000023823946,0.00006393408,0.000018937135,0.00012466653,0.00017738127,0.00033719573,0.000008922098,0.00010102146,7.7150514e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016129827,0.000008798257,0.95100653,0.000029269679,0.00000637603,0.00010471532,0.01761782,0.0000030031024,0.000008147733,0.02627291,0.0047252704,0.00020099981],"study_design_scores_gemma":[0.00020357197,0.000017840835,0.9172871,0.00023573932,0.000018700131,1.8501129e-7,0.029214842,0.000023138107,0.00003701568,0.0022893597,0.050432343,0.00024016111],"about_ca_topic_score_codex":0.7989211,"about_ca_topic_score_gemma":0.98830134,"teacher_disagreement_score":0.18938027,"about_ca_system_score_codex":0.0005277313,"about_ca_system_score_gemma":0.00041485621,"threshold_uncertainty_score":0.2607156},"labels":[],"label_agreement":null},{"id":"W4396515458","doi":"10.22215/etd/2024-15862","title":"What Will It Take to Make Non-Work Trips Sustainable? A Feminist Analysis of Transitions in Transportation Policies and Practice","year":2024,"lang":"en","type":"dissertation","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University","funders":"","keywords":"Status quo; Transformative learning; TRIPS architecture; Work (physics); Sustainability; Government (linguistics); Mobilities; Public policy; Inequality; Political science; Climate change; Sustainable transport; Economic growth; Public relations; Business; Sociology; Transport engineering; Economics; Engineering; Social science","score_opus":0.0168725421511155,"score_gpt":0.35273582429580697,"score_spread":0.33586328214469147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396515458","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93963593,0.00076144305,0.00013983241,0.010486841,0.0003821902,0.0011531721,0.000145661,0.00006263766,0.047232304],"genre_scores_gemma":[0.9640794,0.00036827804,0.00016936948,0.00030427077,0.000055128334,0.000086279404,0.0012721437,0.000020589394,0.033644583],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99770737,0.00011725513,0.0007391206,0.00052748655,0.0005297543,0.0003789884],"domain_scores_gemma":[0.9988597,0.0002362368,0.00020363746,0.00020036128,0.00034823932,0.00015179506],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011064188,0.0002450125,0.00061613345,0.0010603579,0.00023293046,0.0003749849,0.00020617688,0.00034713454,0.00026742197],"category_scores_gemma":[0.000143376,0.0002443281,0.0002643226,0.0054462953,0.00013536937,0.0009828837,0.000002443744,0.00026987592,0.0000023602595],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00071226334,0.00036340707,0.018546408,0.0009438622,0.00084580755,0.00007507208,0.9630583,0.00013346381,0.000040308052,0.011951101,0.00063439814,0.0026956338],"study_design_scores_gemma":[0.00016220924,0.00003924613,0.21424931,0.00027380942,0.0030705323,6.0872864e-8,0.7654158,0.000010780249,0.000024237186,0.00050365325,0.015953638,0.00029675543],"about_ca_topic_score_codex":0.021135438,"about_ca_topic_score_gemma":0.60029596,"teacher_disagreement_score":0.5791605,"about_ca_system_score_codex":0.00011877066,"about_ca_system_score_gemma":0.00044497187,"threshold_uncertainty_score":0.9963411},"labels":[],"label_agreement":null},{"id":"W4396573504","doi":"10.21203/rs.3.rs-4345756/v1","title":"Transportation Mobility During COVID-19: A Systematic Review and Bibliometric Analysis","year":2024,"lang":"en","type":"review","venue":"Research Square","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Public transport; Business; Transport engineering; Travel behavior; Pandemic; Sustainable transport; Mode choice; Service (business); Promotion (chess); Coronavirus disease 2019 (COVID-19); Marketing; Political science; Engineering; Sustainability; Medicine; Politics","score_opus":0.1648826320643909,"score_gpt":0.522653538946926,"score_spread":0.3577709068825351,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396573504","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00013729176,0.9924277,0.00001647818,0.00018492136,0.000042310585,0.0063613732,0.00043012563,0.00015589556,0.00024390005],"genre_scores_gemma":[0.0020864676,0.99519914,0.000007843325,0.000020011346,0.00007816702,0.0011993301,0.00027399196,0.00003161272,0.0011034517],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9920413,0.0027091287,0.0013382308,0.0010812624,0.0020927459,0.0007373289],"domain_scores_gemma":[0.9963875,0.0012505027,0.00028272605,0.0007967395,0.00044288457,0.0008396512],"candidate_categories":["metaepi_narrow","bibliometrics"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.013237956,0.00036200022,0.0032271012,0.05255472,0.00096539233,0.000454131,0.00072553,0.00037260607,0.0006221346],"category_scores_gemma":[0.0035665666,0.00026034538,0.0012251413,0.3126781,0.0005138588,0.00031530787,0.0000421684,0.0009793642,0.000085755084],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000013357719,0.000054189393,0.0010137387,0.9947054,0.00067529845,0.00004587026,0.0006073281,9.6535096e-8,5.2979896e-9,0.000116826915,0.000110865614,0.0026690448],"study_design_scores_gemma":[0.00012937823,0.000048837483,0.004473174,0.70507246,0.07167229,0.0000015950712,0.00096895685,0.000002427771,3.7735838e-8,0.00044255258,0.21637325,0.00081500685],"about_ca_topic_score_codex":0.0035696153,"about_ca_topic_score_gemma":0.0059673376,"teacher_disagreement_score":0.28963292,"about_ca_system_score_codex":0.00086773606,"about_ca_system_score_gemma":0.0017784575,"threshold_uncertainty_score":0.99998486},"labels":[],"label_agreement":null},{"id":"W4396602089","doi":"10.1016/j.lana.2024.100752","title":"Dynamic measurements of geographical accessibility considering traffic congestion using open data: a cross-sectional assessment for haemodialysis services in Cali, Colombia","year":2024,"lang":"en","type":"article","venue":"The Lancet Regional Health - Americas","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bruyère; University of Ottawa; Queen's University","funders":"Pan American Health Organization; Adobe Systems; Google; Microsoft","keywords":"Cross-sectional study; Transport engineering; Traffic congestion; Open data; Computer science; Statistics; Engineering; World Wide Web; Mathematics","score_opus":0.3459116911515998,"score_gpt":0.5254293342191598,"score_spread":0.17951764306756002,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396602089","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99116397,0.0007936003,0.00069540984,0.005482311,0.0003174864,0.0011765568,0.00023997853,0.00005704405,0.000073638366],"genre_scores_gemma":[0.99542165,0.00012085316,0.00348227,0.0004988606,0.0001609739,0.00007421977,0.0002161187,0.000012255151,0.000012781773],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99709404,0.0004918972,0.00068437133,0.00064165273,0.00062941975,0.0004586458],"domain_scores_gemma":[0.9983989,0.00054718135,0.0003050947,0.00047852276,0.00015555638,0.000114762704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005941187,0.00014578506,0.00053368416,0.0000991567,0.00060761254,0.0003242281,0.0011875186,0.00009157109,0.000037527538],"category_scores_gemma":[0.000054217624,0.0001168546,0.000099290526,0.0007964774,0.0008183646,0.0007135332,0.00016745731,0.00027652213,6.6009903e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020620321,0.00017796496,0.9920366,0.00049983273,0.0000751067,0.0000014689879,0.0014002138,0.001513011,0.000034662302,0.0003406441,0.00008751546,0.0036267913],"study_design_scores_gemma":[0.0005357243,0.000047214366,0.96435773,0.00018414255,0.000033390294,0.0000012900725,0.00044802247,0.031168057,0.0000016083912,0.0019637065,0.0011304988,0.00012860059],"about_ca_topic_score_codex":0.024064211,"about_ca_topic_score_gemma":0.0492542,"teacher_disagreement_score":0.029655045,"about_ca_system_score_codex":0.00045282958,"about_ca_system_score_gemma":0.0015760447,"threshold_uncertainty_score":0.98243463},"labels":[],"label_agreement":null},{"id":"W4396655905","doi":"10.24908/agt.v2i1.17186","title":"AI-Powered Technology to Keep Cyclists Safe","year":2024,"lang":"en","type":"article","venue":"Aging and (Geron) Technology","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Cycling; Computer science; Computer security; Business","score_opus":0.01034844100719033,"score_gpt":0.32724928171967566,"score_spread":0.3169008407124853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396655905","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8804253,0.006046583,0.001031862,0.101306595,0.00070099934,0.00026971832,0.000008960306,0.0022560528,0.007953943],"genre_scores_gemma":[0.9968588,0.00020234306,0.0006738912,0.0005194152,0.00011920095,0.000036838897,0.000003005613,0.00001871785,0.0015677905],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99838597,0.000027780952,0.00024794394,0.00060477154,0.00016428414,0.0005692692],"domain_scores_gemma":[0.9994008,0.00005210963,0.000032410124,0.000352876,0.000053637945,0.0001081846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035688054,0.00016841659,0.00025597535,0.000551052,0.00041014556,0.00010991017,0.00044289458,0.00046235207,0.00013670351],"category_scores_gemma":[0.00010577333,0.00016134894,0.000050313472,0.0015917736,0.0007916427,0.00018396295,0.00011147817,0.00046591958,0.00013606857],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021253863,0.000104785104,0.3339817,0.00016429278,0.00009473643,0.00025193035,0.004520355,0.0000017926468,0.0037398746,0.21309331,0.003194324,0.44083166],"study_design_scores_gemma":[0.00034465923,0.00013847323,0.018047672,0.0004022034,0.00007320404,0.00001568252,0.0037419393,0.000056716122,0.0035667936,0.19436534,0.7785566,0.00069076003],"about_ca_topic_score_codex":0.00050939515,"about_ca_topic_score_gemma":0.002448866,"teacher_disagreement_score":0.77536225,"about_ca_system_score_codex":0.00008023396,"about_ca_system_score_gemma":0.00010781884,"threshold_uncertainty_score":0.6579619},"labels":[],"label_agreement":null},{"id":"W4396691822","doi":"10.17269/s41997-024-00883-9","title":"Imagining and implementing healthy city interventions: Combined results from parallel concept mapping exercises in Montreal with community members and stakeholders","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université du Québec à Trois-Rivières; Simon Fraser University; University of Saskatchewan; Université de Montréal; Institut National de Santé Publique du Québec","funders":"Canadian Institutes of Health Research","keywords":"Psychological intervention; Psychology; Sociology; Medical education; Medicine; Nursing","score_opus":0.21063174249092273,"score_gpt":0.36373120002962045,"score_spread":0.15309945753869772,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396691822","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9716402,0.004930798,0.00046446177,0.021512184,0.00015619838,0.00021280385,0.00019631321,0.000014494008,0.00087252597],"genre_scores_gemma":[0.9986687,0.00023762282,0.0005923989,0.00034913566,0.00006177559,0.0000030682506,0.000038411934,0.000007582267,0.0000413335],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976021,0.00069604366,0.00073285116,0.00016733873,0.00019189171,0.00060976716],"domain_scores_gemma":[0.9979255,0.00034542388,0.00027787095,0.00010815791,0.00010818525,0.0012348153],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0065733385,0.00010526842,0.0003045583,0.00034838155,0.00084635796,0.00044540962,0.00019046068,0.000046228422,0.00007159756],"category_scores_gemma":[0.00025465517,0.00009657975,0.00004856486,0.00040211025,0.00042979085,0.0008081011,0.000013801875,0.000614204,1.3464478e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056259305,0.000041493466,0.6777541,0.00019290723,0.00005896443,0.00008092022,0.22932526,0.000003990704,2.6013225e-7,0.0005479952,0.0012318298,0.090705976],"study_design_scores_gemma":[0.00199864,0.00021817132,0.7739347,0.0011534402,0.00001590557,0.000004372053,0.21082576,0.00010276523,2.0126164e-7,0.0014874117,0.010097462,0.00016113813],"about_ca_topic_score_codex":0.87263805,"about_ca_topic_score_gemma":0.98114526,"teacher_disagreement_score":0.1085072,"about_ca_system_score_codex":0.0004615905,"about_ca_system_score_gemma":0.004168456,"threshold_uncertainty_score":0.73946613},"labels":[],"label_agreement":null},{"id":"W4396696270","doi":"10.1016/j.tranpol.2024.05.005","title":"Enhancing public transport use: The influence of soft pull interventions","year":2024,"lang":"en","type":"article","venue":"Transport Policy","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Polytechnique Montréal","funders":"Infrastructure Canada; Social Sciences and Humanities Research Council of Canada","keywords":"Public transport; Psychological intervention; Business; Transport engineering; Engineering; Psychology","score_opus":0.05085505543986444,"score_gpt":0.35591842333088897,"score_spread":0.3050633678910245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396696270","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98776263,0.0004966039,0.0021304367,0.0047997255,0.00019578736,0.00039217714,0.00012596056,0.00028761663,0.0038090562],"genre_scores_gemma":[0.9963926,0.000119867254,0.00007053472,0.00017435933,0.0002991323,0.000035432902,0.000035895337,0.000024940739,0.0028472235],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977382,0.000083199295,0.0007422659,0.0003704928,0.0005196379,0.0005462487],"domain_scores_gemma":[0.99903184,0.00015745303,0.00009653523,0.00038512988,0.00014400335,0.00018501225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011120474,0.00019112448,0.00026945668,0.00023811888,0.00041078212,0.00009165578,0.00065543177,0.00013932,0.0005627179],"category_scores_gemma":[0.00007321559,0.00014672341,0.0005395669,0.0014174462,0.00082510116,0.0012927565,0.000007018126,0.00032994818,0.000030195839],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029791587,0.00027392217,0.80801445,0.0009324816,0.00017724482,0.000064002656,0.03569975,0.0001714507,0.0009855664,0.14905612,0.00010437116,0.004490879],"study_design_scores_gemma":[0.000116281815,0.000022637538,0.95422846,0.0003338796,0.00011750556,8.3873044e-7,0.00062074047,0.000005654122,0.00021848491,0.0026690015,0.04146065,0.00020587414],"about_ca_topic_score_codex":0.025927693,"about_ca_topic_score_gemma":0.06968648,"teacher_disagreement_score":0.14638712,"about_ca_system_score_codex":0.00008594252,"about_ca_system_score_gemma":0.0010282695,"threshold_uncertainty_score":0.98055875},"labels":[],"label_agreement":null},{"id":"W4396713225","doi":"10.1123/pes.2023-0064","title":"Parental Travel Behaviors and Children’s Independent Mobility: A MultiSite Study","year":2024,"lang":"en","type":"article","venue":"Pediatric Exercise Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Trois-Rivières; Agricultural Research Institute of Ontario; University of Ottawa; University of British Columbia; Crandall University; University of Lethbridge","funders":"","keywords":"Confidence interval; Socioeconomic status; Demography; Medicine; Pediatrics; Psychology; Population","score_opus":0.011987921787180623,"score_gpt":0.3074306140202348,"score_spread":0.2954426922330542,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396713225","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99641746,0.0010071944,0.000017668,0.000044147117,0.0008600162,0.0009813047,0.000029356803,0.00016227871,0.00048056885],"genre_scores_gemma":[0.9991057,0.00021299336,0.00007672959,0.000007292515,0.00028200817,0.000056450466,0.0000022972274,0.000009535791,0.00024700837],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970883,0.000044372213,0.00029658584,0.0009171389,0.0011420011,0.00051160384],"domain_scores_gemma":[0.99917114,0.00006001544,0.0000456791,0.00028478025,0.00007705896,0.00036135718],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022380392,0.00016538556,0.00019814842,0.00029678261,0.0008954821,0.00056931557,0.0006107425,0.000062928186,0.00014562713],"category_scores_gemma":[0.00007128707,0.00014587748,0.000065879256,0.0017544482,0.00093225506,0.0010232215,0.00011520417,0.00026502844,0.00003003486],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005715753,0.00034109168,0.9800828,0.000012326238,0.0000017812091,0.000016083904,0.013157788,3.872832e-7,0.000058570728,0.00007197287,0.000022171238,0.006229303],"study_design_scores_gemma":[0.00016642878,0.00003722609,0.99573404,0.000007362978,0.00010934765,9.221218e-7,0.00349546,0.000036444148,0.000037713693,0.00017458962,0.000009691793,0.0001907564],"about_ca_topic_score_codex":0.006626218,"about_ca_topic_score_gemma":0.0031672989,"teacher_disagreement_score":0.015651248,"about_ca_system_score_codex":0.00009584298,"about_ca_system_score_gemma":0.00046048776,"threshold_uncertainty_score":0.99998873},"labels":[],"label_agreement":null},{"id":"W4396915008","doi":"10.31219/osf.io/s5jxh","title":"The Scarborough Survey: An interdisciplinary hybrid instrument to explore suburban challenges in Canada","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Survey instrument; Survey research; Medical education; Psychology; Medicine; Applied psychology","score_opus":0.13495550203458698,"score_gpt":0.35770977371633067,"score_spread":0.2227542716817437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396915008","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95904684,0.0027869935,0.0000023783796,0.01573561,0.002802259,0.00071718416,0.000090936934,0.00008842491,0.0187294],"genre_scores_gemma":[0.99802786,0.00069457485,0.000022531725,0.00008624675,0.00030501417,0.00015938969,0.00006936719,0.00002769335,0.0006073],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99673915,0.0004907189,0.00053286087,0.0009211813,0.0007071816,0.0006089077],"domain_scores_gemma":[0.99855053,0.0001881138,0.00007969305,0.0007859705,0.000092164075,0.0003035354],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022461503,0.00030708127,0.000374292,0.00008282668,0.00041707206,0.00027846705,0.0014127138,0.00012127284,0.00010577476],"category_scores_gemma":[0.00004168039,0.00022147769,0.00009461183,0.0002388054,0.0001618831,0.00012339382,0.0016080013,0.0007966809,0.000011749782],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022066904,0.00027409894,0.6592274,0.00044717552,0.00017758309,0.00030570073,0.1119984,0.00015701083,0.0000025238487,0.0042043626,0.011017664,0.21196742],"study_design_scores_gemma":[0.000121838144,0.00005794748,0.87947065,0.0003494265,0.000025800395,2.5969183e-7,0.06846401,0.00012496389,0.00006460517,0.043655787,0.0069122165,0.00075250445],"about_ca_topic_score_codex":0.98880416,"about_ca_topic_score_gemma":0.99993414,"teacher_disagreement_score":0.22024325,"about_ca_system_score_codex":0.0017202016,"about_ca_system_score_gemma":0.0045977905,"threshold_uncertainty_score":0.9031598},"labels":[],"label_agreement":null},{"id":"W4396941107","doi":"10.35483/acsa.am.112.83","title":"Undoing White Settler Designed Cities: The Agency of Mapping with Racialized Immigrant and Refugee Women in Canada","year":2024,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University","funders":"","keywords":"Immigration; Geography; Population; Ethnic group; Refugee; Census; Equity (law); Economic growth; Sociology; Political science; Demography","score_opus":0.01364248285360114,"score_gpt":0.24622460749408415,"score_spread":0.232582124640483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396941107","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98870987,0.00048558047,0.00022168056,0.0011071801,0.00007590821,0.00018515896,0.000006543276,0.000021721984,0.009186359],"genre_scores_gemma":[0.99778783,0.00002674452,0.00010283997,0.00008294361,0.000024420035,0.00001541501,9.338793e-7,0.0000049785535,0.0019538777],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990679,0.00008430905,0.00019249422,0.00015769847,0.00023279198,0.0002647792],"domain_scores_gemma":[0.99967587,0.00012780823,0.000031026306,0.00008896125,0.00002226841,0.000054057153],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075813814,0.00006961434,0.00014413097,0.00004121229,0.00013948204,0.00005186775,0.00012096785,0.00002379227,0.00047781633],"category_scores_gemma":[0.000014424211,0.000041125244,0.000016958997,0.00041405862,0.00016948291,0.00015388182,0.000009603116,0.00007618774,3.837801e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007147561,0.000015904909,0.7440172,0.00020437533,0.00005937082,0.000045115357,0.2446662,0.0000102173435,0.0004147746,0.0035705136,0.00032534212,0.0065995282],"study_design_scores_gemma":[0.0007041324,0.000042910513,0.79361796,0.00036976795,0.000031716187,6.1586496e-7,0.1798892,0.0002749134,0.00024558016,0.0070654266,0.017356839,0.00040095855],"about_ca_topic_score_codex":0.9073439,"about_ca_topic_score_gemma":0.98710763,"teacher_disagreement_score":0.079763725,"about_ca_system_score_codex":0.00023769363,"about_ca_system_score_gemma":0.0013179231,"threshold_uncertainty_score":0.52317536},"labels":[],"label_agreement":null},{"id":"W4396953235","doi":"10.1161/circ.149.suppl_1.p448","title":"Abstract P448: Urban Trail Infrastructure and Physical Activity Levels: A Systematic Review and Meta-Analysis of Natural Experiments","year":2024,"lang":"en","type":"review","venue":"Circulation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Manitoba; Children's Hospital Research Institute of Manitoba","funders":"","keywords":"Medicine; Meta-analysis; Physical activity; Systematic review; Natural (archaeology); MEDLINE; Environmental health; Physical therapy; Internal medicine","score_opus":0.13575090851015628,"score_gpt":0.41583098918071265,"score_spread":0.28008008067055634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396953235","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0027317312,0.99554724,0.0000054105903,0.000019664612,0.00004644857,0.0013875347,0.0001219621,0.000026327429,0.000113709684],"genre_scores_gemma":[0.50448996,0.4953187,0.000005033647,0.000008307744,0.000030391677,0.000060849787,0.000038550763,0.0000100172265,0.000038186707],"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","domain_scores_codex":[0.99821407,0.00027860014,0.0005252328,0.0004473552,0.00039308707,0.00014168293],"domain_scores_gemma":[0.9988956,0.00013715163,0.0005655978,0.00026668637,0.00006400841,0.000070991235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005509782,0.00029001758,0.0039708754,0.0001611561,0.00010745149,0.000084729545,0.00015004736,0.00017769876,0.00008298135],"category_scores_gemma":[0.00008069288,0.00018911812,0.0013255789,0.0008236405,0.00015698341,0.00028514196,0.000016515754,0.0002617064,0.000001696777],"study_design_candidate":"meta_analysis","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[6.2047786e-7,0.00004002046,0.00008106442,0.94216186,0.047566496,0.0000016339782,0.0023765,2.9797283e-7,0.0000023330504,0.00016467874,0.000020199615,0.00758432],"study_design_scores_gemma":[0.000025080266,0.000002635864,0.0065388307,0.011534884,0.9807003,3.4777008e-7,0.000057066507,0.000020999043,3.2814006e-7,0.000106949185,0.00077103934,0.0002415027],"about_ca_topic_score_codex":0.000092116796,"about_ca_topic_score_gemma":0.00004697503,"teacher_disagreement_score":0.93313384,"about_ca_system_score_codex":0.00008424714,"about_ca_system_score_gemma":0.00010967588,"threshold_uncertainty_score":0.77120125},"labels":[],"label_agreement":null},{"id":"W4396999461","doi":"10.1016/j.tra.2024.104098","title":"Car dependency in the urban margins: The influence of perceived accessibility on mode choice","year":2024,"lang":"en","type":"article","venue":"Transportation Research Part A Policy and Practice","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Fondo de Financiamiento de Centros de Investigación en Áreas Prioritarias; Agencia Nacional de Investigación y Desarrollo; Centro de Desarrollo Urbano Sustentable","keywords":"Public transport; Metropolitan area; Mode choice; Perception; Destinations; Dependency (UML); Transport engineering; Vulnerability (computing); Business; Mode (computer interface); Geography; Demographic economics; Psychology; Economics; Computer science; Engineering; Computer security; Tourism","score_opus":0.11881153345629032,"score_gpt":0.49431979486809474,"score_spread":0.37550826141180443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396999461","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9683325,0.00038606368,0.0000070617807,0.020326762,0.000038196962,0.0006737005,0.00006402825,0.000027118267,0.010144511],"genre_scores_gemma":[0.9980847,0.000741752,0.000016479435,0.000489554,0.00022864027,0.00009496589,0.000013451042,0.0000077122,0.0003227273],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9958262,0.0019401158,0.00037349208,0.00036123898,0.0010972882,0.00040166604],"domain_scores_gemma":[0.9910551,0.008203899,0.000070033086,0.00033370184,0.00024713748,0.000090150046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0072456673,0.00011095819,0.00013754406,0.00016759732,0.00059774483,0.0002165444,0.0005392746,0.000103123006,0.00007094386],"category_scores_gemma":[0.0027509755,0.00006840506,0.000059260423,0.0014447961,0.00081367954,0.001320098,0.000005891156,0.0007881577,0.00001009349],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00078457745,0.000615983,0.3441517,0.00055309717,0.00007530648,0.00008025758,0.45345873,0.0005450934,0.00059752987,0.19382475,0.0011544718,0.0041585],"study_design_scores_gemma":[0.00014316874,0.00005375282,0.9270175,0.000083873856,0.00002375125,2.5903913e-7,0.00902073,0.000045666777,0.000014920814,0.004951507,0.05856649,0.00007840233],"about_ca_topic_score_codex":0.10533448,"about_ca_topic_score_gemma":0.070955195,"teacher_disagreement_score":0.5828658,"about_ca_system_score_codex":0.00006581629,"about_ca_system_score_gemma":0.00074610475,"threshold_uncertainty_score":0.9459975},"labels":[],"label_agreement":null},{"id":"W4397019682","doi":"10.1155/2024/5602943","title":"Modeling the Impact of Urban Land Use Characteristics on Road Network Accessibility in a Case Study of Addis Ababa City","year":2024,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Transport engineering; Land use; Environmental planning; Road traffic; Geography; Civil engineering; Environmental science; Computer science; Engineering","score_opus":0.040990705271287224,"score_gpt":0.36131201783273525,"score_spread":0.320321312561448,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4397019682","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987204,0.00017822998,0.00039869,0.000023684875,0.00024037607,0.0003539868,0.00006158773,0.000010003079,0.000013008058],"genre_scores_gemma":[0.999647,0.00006182742,0.00010805258,0.0000035863493,0.00015282189,0.0000034021639,0.0000089343675,0.000009097183,0.000005274701],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99807763,0.00014317353,0.0010172098,0.0001696026,0.00041373016,0.00017865427],"domain_scores_gemma":[0.998858,0.00020320041,0.0004252406,0.00015630516,0.00028731016,0.00006998727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011266684,0.0001249265,0.0003635184,0.00010947274,0.00010735817,0.000047106787,0.00017954825,0.00006465514,0.000029191651],"category_scores_gemma":[0.00007990304,0.000082053164,0.00021410162,0.0004911703,0.00007835839,0.0010113901,0.000001891557,0.00033231435,9.280629e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00052233384,0.00045760744,0.85416317,0.000037552116,0.00005765223,0.00027569744,0.037877332,0.102871075,0.000036526228,0.000009458753,0.0000024517867,0.0036891275],"study_design_scores_gemma":[0.00053166185,0.0004342638,0.99112403,0.0002041949,0.000088148365,0.0000024437038,0.00519303,0.0020598955,0.000008050429,0.00027165082,0.0000037741802,0.00007883459],"about_ca_topic_score_codex":0.007766128,"about_ca_topic_score_gemma":0.026093926,"teacher_disagreement_score":0.13696086,"about_ca_system_score_codex":0.000102317805,"about_ca_system_score_gemma":0.00022772602,"threshold_uncertainty_score":0.9988412},"labels":[],"label_agreement":null},{"id":"W4398144625","doi":"10.1080/29941849.2024.2321145","title":"How useful are new data sources in pedestrian planning? Lessons from Umeå, Sweden case study","year":2024,"lang":"en","type":"article","venue":"Sustainable Transport and Livability","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"WSP (Canada)","funders":"Trafikverket","keywords":"Pedestrian; Geography; Environmental planning; Computer science; Data science; Regional science; Archaeology","score_opus":0.08817975030850997,"score_gpt":0.36739665011083916,"score_spread":0.2792168998023292,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398144625","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98976654,0.0035013484,0.00013904339,0.004200464,0.00018896013,0.0011947493,0.00018500144,0.00026378868,0.00056011527],"genre_scores_gemma":[0.99530536,0.000036720172,0.000044128607,0.000022390184,0.00038208097,0.000024292125,0.00011966187,0.000025494823,0.0040398426],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99667424,0.0002407679,0.00047150333,0.0013523187,0.0004678614,0.000793338],"domain_scores_gemma":[0.99819076,0.0003046376,0.00008097057,0.00094694184,0.0000862188,0.00039049215],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0020942143,0.0003170476,0.00051300565,0.00015530258,0.00066509563,0.0006548525,0.0007114278,0.0002203925,0.00020648773],"category_scores_gemma":[0.00014264253,0.00029027555,0.00009584171,0.00081853935,0.00043307777,0.0018572304,0.00008028596,0.00052342244,0.0000016928825],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000066119865,0.00033077458,0.921865,0.00026015152,0.000043930253,0.0100461785,0.066040054,0.000005355551,6.2729714e-7,0.00011757261,0.00013498584,0.0010892327],"study_design_scores_gemma":[0.00043634442,0.000044906632,0.63830525,0.000052415682,0.0001229865,0.0000034294287,0.3350781,0.000022991793,0.0000016725853,0.0033495356,0.022307757,0.00027464223],"about_ca_topic_score_codex":0.29389122,"about_ca_topic_score_gemma":0.2759857,"teacher_disagreement_score":0.2835598,"about_ca_system_score_codex":0.00017061732,"about_ca_system_score_gemma":0.0010414897,"threshold_uncertainty_score":0.99995494},"labels":[],"label_agreement":null},{"id":"W4398151215","doi":"10.2139/ssrn.4833402","title":"Unraveling The Effects of Micro-Level Street Environment on Dockless Bikeshare in Ithaca","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Built environment; Walkability; Cycling; Affect (linguistics); Transport engineering; Applied psychology; Scale (ratio); Perception; Psychology; Geography; Engineering; Cartography; Communication; Civil engineering; Forestry","score_opus":0.012775076812508033,"score_gpt":0.26810236537609844,"score_spread":0.2553272885635904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398151215","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9899475,0.007784175,0.00043101882,0.0008231443,0.00027601706,0.00020091486,0.000008490918,0.000015443706,0.0005132907],"genre_scores_gemma":[0.99586827,0.003221421,0.00001519789,0.000038341124,0.00018983889,0.0000053720137,0.000002389843,0.000011135425,0.00064805755],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979262,0.00017178374,0.00025549642,0.00018993452,0.00037525644,0.0010813625],"domain_scores_gemma":[0.99951506,0.00022949507,0.00007012218,0.000122051744,0.000014463379,0.000048804453],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020099175,0.00011100262,0.00014448164,0.00009144868,0.00023189846,0.0000616445,0.0003750061,0.00007393523,0.00006532029],"category_scores_gemma":[0.00005168383,0.00007459742,0.0001130533,0.00022836072,0.0001221042,0.00013656546,0.000015943628,0.0012773165,0.000012540105],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002309137,0.0008641665,0.4664501,0.00046670667,0.000613495,0.00014870106,0.030892616,0.00033317943,0.009256428,0.21747895,0.00038165672,0.2728831],"study_design_scores_gemma":[0.0030810307,0.0015284076,0.4125691,0.0026964645,0.00037782962,0.000022723401,0.041390963,0.00021904182,0.016660227,0.49545157,0.024644421,0.0013582259],"about_ca_topic_score_codex":0.0010591019,"about_ca_topic_score_gemma":0.017002638,"teacher_disagreement_score":0.2779726,"about_ca_system_score_codex":0.00070498406,"about_ca_system_score_gemma":0.0011170481,"threshold_uncertainty_score":0.94878715},"labels":[],"label_agreement":null},{"id":"W4398181146","doi":"10.2139/ssrn.4835211","title":"A Methodological Framework for the Development of Transit-Oriented Development (Tod) Typologies","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Transit-oriented development; Development (topology); Transit (satellite); Transport engineering; Computer science; Regional science; Process management; Business; Geography; Engineering; Public transport; Mathematics","score_opus":0.1375814189752757,"score_gpt":0.41023058444637883,"score_spread":0.2726491654711031,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398181146","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1931558,0.014720473,0.78550595,0.0032333683,0.0017746979,0.00088929216,0.00001017408,0.00010430312,0.0006059635],"genre_scores_gemma":[0.8902975,0.0015173655,0.10685436,0.000042321153,0.0005171168,0.0001246761,0.0000119250435,0.00002655289,0.00060824543],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9955784,0.00037559285,0.00093583367,0.0004703097,0.00063525554,0.0020045727],"domain_scores_gemma":[0.9977993,0.001196447,0.00040811396,0.00025031308,0.00025112284,0.00009471851],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.013114909,0.0003070942,0.0005493451,0.00011722206,0.0010055864,0.000108751985,0.001105574,0.00057362206,0.000074971475],"category_scores_gemma":[0.00070523744,0.00019424816,0.00040781946,0.00027650438,0.00040268255,0.000052589854,0.00019179788,0.004661175,0.0000058973956],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003777393,0.00023083665,0.0036296942,0.00032465585,0.001994183,0.0000040141335,0.05697352,0.000100918754,0.000036849273,0.69202244,0.00007046495,0.2442347],"study_design_scores_gemma":[0.00016764032,0.000055758617,0.0030185333,0.0002091425,0.0001997609,0.0000024037224,0.017572703,0.000010238897,0.00039281585,0.96302813,0.015047907,0.00029498598],"about_ca_topic_score_codex":0.00010955125,"about_ca_topic_score_gemma":0.009824993,"teacher_disagreement_score":0.69714165,"about_ca_system_score_codex":0.0012430494,"about_ca_system_score_gemma":0.019927062,"threshold_uncertainty_score":0.9976351},"labels":[],"label_agreement":null},{"id":"W4398248301","doi":"10.1519/jsc.0000000000004834","title":"The Effects of a 90-km Outdoor Cycling Ride on Performance Outcomes Derived From Ramp- Incremental and 3-Minute All-Out Tests: Erratum","year":2024,"lang":"en","type":"erratum","venue":"The Journal of Strength and Conditioning Research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; Toronto General Hospital; Western University","funders":"","keywords":"Cycling; Environmental science; Geography; Forestry","score_opus":0.03755472732123163,"score_gpt":0.3640233992383265,"score_spread":0.3264686719170949,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398248301","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98280674,0.008506914,0.000001096515,0.0013538323,0.0033852446,0.00030071582,0.000075598684,0.000015452759,0.003554389],"genre_scores_gemma":[0.98071826,0.008725568,0.000021112712,0.00005318362,0.00101619,0.000008895816,0.000040787396,0.000019812576,0.009396169],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9967352,0.00061871257,0.0005827912,0.00022434063,0.0013748119,0.000464149],"domain_scores_gemma":[0.99463224,0.004245664,0.00041688827,0.00022301536,0.000302136,0.00018004555],"candidate_categories":["sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0036677478,0.00021307854,0.0004313367,0.00018494594,0.0015218803,0.0004030405,0.00062152994,0.0002055175,0.000034579563],"category_scores_gemma":[0.0011370131,0.00011829053,0.00012464313,0.00020458233,0.0013472133,0.00025961862,0.000115400646,0.0024690654,0.0000042846423],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019911644,0.00062828726,0.267,0.0026329358,0.0037022573,0.00030127086,0.077373795,0.00000660873,0.0059792483,0.000782824,0.6092999,0.03030168],"study_design_scores_gemma":[0.0035454393,0.0026651062,0.89011186,0.012948213,0.001489442,0.000012878345,0.03312202,0.00027405983,0.00568816,0.016389323,0.032758206,0.0009952718],"about_ca_topic_score_codex":0.0011102326,"about_ca_topic_score_gemma":0.0016668597,"teacher_disagreement_score":0.62311184,"about_ca_system_score_codex":0.00011574983,"about_ca_system_score_gemma":0.00054812187,"threshold_uncertainty_score":0.9998323},"labels":[],"label_agreement":null},{"id":"W4398424028","doi":"10.7910/dvn/czqwbg","title":"Replication data for: \"Urban Transport Expansions and Changes in the Spatial Structure of US Cities: Implications for Productivity and Welfare\"","year":2019,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Replication (statistics); Productivity; Welfare; Economic geography; Geography; Regional science; Economics; Biology; Economic growth","score_opus":0.051878612320253294,"score_gpt":0.3235776137680228,"score_spread":0.2716990014477695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398424028","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026832303,0.00000895715,0.00013543585,0.00058135984,0.00014784197,0.0025156648,0.96975994,0.0000106412535,0.000007837076],"genre_scores_gemma":[0.12592386,0.0002066888,0.00013907408,0.00006307839,0.00023386623,0.000114704904,0.87329054,0.000008899308,0.00001929699],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.998362,0.00008266931,0.00028850746,0.0008468602,0.00019208368,0.00022787886],"domain_scores_gemma":[0.9965134,0.00020782345,0.00026007692,0.002863598,0.00010211062,0.000052972202],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091626454,0.00017874307,0.00032257006,0.000087241715,0.00037301754,0.000045333058,0.0010420085,0.00021773997,0.00018980559],"category_scores_gemma":[0.00034510752,0.00014379427,0.00003634406,0.00015404234,0.0004718505,0.00042533892,0.00008156484,0.00016649648,0.0000024242258],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010297288,0.000106149135,0.03871223,0.000712097,0.000035203437,2.871629e-7,0.0020194696,4.0697188e-7,0.00008124332,0.00041709605,0.956768,0.0010448613],"study_design_scores_gemma":[0.00027423204,0.000032855485,0.11297436,0.000029631832,0.00016343736,3.593879e-7,0.0008522047,0.0000029167627,0.000008621782,0.00028040318,0.8852379,0.00014312979],"about_ca_topic_score_codex":0.009393914,"about_ca_topic_score_gemma":0.1702652,"teacher_disagreement_score":0.16087128,"about_ca_system_score_codex":0.000024533892,"about_ca_system_score_gemma":0.00017498138,"threshold_uncertainty_score":0.99720263},"labels":[],"label_agreement":null},{"id":"W4398774117","doi":"10.1155/2024/1404168","title":"The Association between Rainfall and Taxi Travel Activities: A Case Study from Wuhan, China","year":2024,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Guangdong Academy of Sciences; National Natural Science Foundation of China","keywords":"China; Association (psychology); Geography; Transport engineering; Regional science; Engineering; Psychology; Archaeology","score_opus":0.013775191562356251,"score_gpt":0.3092902195037089,"score_spread":0.29551502794135265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398774117","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967903,0.00089638605,0.0007962979,0.00056694297,0.00051869405,0.00025707515,0.0000426964,0.000023660565,0.00010796896],"genre_scores_gemma":[0.998934,0.00022552986,0.00017990272,0.000009443738,0.00045698634,0.0000051979623,0.000007381708,0.000010096362,0.00017149183],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985895,0.000120814744,0.0004822182,0.00015028579,0.00048627442,0.00017090402],"domain_scores_gemma":[0.9988487,0.00058220635,0.0003157803,0.00006788717,0.00009618798,0.00008926631],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001146489,0.00010104979,0.00020438102,0.00006348188,0.00046610943,0.0001743454,0.000108107524,0.00007159543,0.0000151374525],"category_scores_gemma":[0.00005447793,0.0000737783,0.00010307738,0.0002306947,0.00006713272,0.0010273479,0.0000010457856,0.0002983451,4.711205e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008797441,0.00009841832,0.7776101,0.000027513539,0.0002904467,0.00065379695,0.18595643,0.00008015075,0.00023741752,0.00016162789,0.000028523873,0.034767546],"study_design_scores_gemma":[0.0005045514,0.0001158232,0.9325788,0.000052657353,0.00024935123,0.0000021754029,0.06253408,0.000004350383,0.000052440686,0.0023587225,0.0014566691,0.00009040063],"about_ca_topic_score_codex":0.0019689093,"about_ca_topic_score_gemma":0.022026477,"teacher_disagreement_score":0.15496863,"about_ca_system_score_codex":0.00014248933,"about_ca_system_score_gemma":0.000150144,"threshold_uncertainty_score":0.995819},"labels":[],"label_agreement":null},{"id":"W4399038549","doi":"10.2196/preprints.60553","title":"Adaptation of the Stakeholders’ Walkability/Wheelability Audit in Neighborhoods (SWAN) Tool for Individuals With Diverse Disabilities: Protocol for a Mixed Methods Study (Preprint)","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia; Université Laval; Simon Fraser University","funders":"","keywords":"Walkability; Preprint; Audit; Protocol (science); Business; Accounting; Computer science; Engineering; Built environment; Civil engineering; Medicine; World Wide Web","score_opus":0.13059912948775818,"score_gpt":0.4178926125947894,"score_spread":0.2872934831070312,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399038549","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.60873955,0.0000058274427,0.012231712,0.0004914963,0.00037496217,0.37693208,0.00049917697,0.00012567673,0.0005995016],"genre_scores_gemma":[0.60621095,2.2842366e-7,0.016870597,0.000013451566,0.00008385295,0.37641206,0.000016814796,0.00003034467,0.00036171533],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9932024,0.0018845195,0.001598806,0.0017399389,0.0009478721,0.00062647957],"domain_scores_gemma":[0.9938904,0.0031149657,0.0006427452,0.0016252429,0.0006091472,0.00011749072],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.012966181,0.00054323993,0.0010307846,0.00014630696,0.0004067955,0.00024371536,0.0013891088,0.00046919723,0.00037630665],"category_scores_gemma":[0.0031528876,0.00035729422,0.0006523537,0.00068558985,0.0011467399,0.00030122983,0.00081074284,0.00068231905,9.641178e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006083028,0.0024832517,0.85185415,0.0038237108,0.00022667559,2.8517164e-7,0.11729786,0.00071618235,0.000006353873,0.0026368701,0.0001374332,0.020208938],"study_design_scores_gemma":[0.004559359,0.0008717316,0.39828566,0.00066660636,0.00050870655,6.5093964e-8,0.36047992,0.0010642811,0.0003719776,0.22738886,0.004825059,0.0009777654],"about_ca_topic_score_codex":0.011305233,"about_ca_topic_score_gemma":0.08344354,"teacher_disagreement_score":0.45356846,"about_ca_system_score_codex":0.0007395679,"about_ca_system_score_gemma":0.0024963683,"threshold_uncertainty_score":0.9998879},"labels":[],"label_agreement":null},{"id":"W4399040729","doi":"10.1016/j.cstp.2024.101223","title":"Understanding the effects of a long-term transit service suspension during the COVID-19 pandemic on transit users’ travel choices","year":2024,"lang":"en","type":"article","venue":"Case Studies on Transport Policy","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Coronavirus disease 2019 (COVID-19); Transit (satellite); Pandemic; Transport engineering; 2019-20 coronavirus outbreak; Term (time); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Service (business); Business; Public transport; Medicine; Engineering; Virology; Marketing; Physics","score_opus":0.12327480904041747,"score_gpt":0.37957430743671616,"score_spread":0.2562994983962987,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399040729","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98732436,0.0017037832,0.0003840497,0.0075675487,0.0005571256,0.0011879319,0.00007222557,0.0002184353,0.000984524],"genre_scores_gemma":[0.9959477,0.0013080018,0.0000016033539,0.0018423157,0.0004701804,0.000058483125,0.000009287809,0.000039490984,0.00032294384],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9972387,0.0002730474,0.0005750891,0.000622643,0.00066562364,0.0006248966],"domain_scores_gemma":[0.99746525,0.0016459689,0.000120561825,0.00044874055,0.000074682284,0.0002447814],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0010641477,0.00039892716,0.00052310067,0.00021737278,0.001963479,0.00006969327,0.0004659493,0.0001697707,0.000042400414],"category_scores_gemma":[0.000110887035,0.00023878075,0.00038647887,0.0012877239,0.0010445578,0.0002446098,0.000009544925,0.0005310328,0.000007764147],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010677539,0.00043745537,0.21246132,0.011402334,0.0016949606,0.0112870345,0.73856944,0.00074397906,0.0027149203,0.018266106,0.00011905942,0.0012356627],"study_design_scores_gemma":[0.0063055605,0.000980303,0.86564016,0.0036732499,0.0031237022,0.000514144,0.10646,0.000059696456,0.004781836,0.0045636655,0.0016708965,0.002226758],"about_ca_topic_score_codex":0.004420468,"about_ca_topic_score_gemma":0.114545256,"teacher_disagreement_score":0.6531789,"about_ca_system_score_codex":0.00064242014,"about_ca_system_score_gemma":0.0004449934,"threshold_uncertainty_score":0.9993358},"labels":[],"label_agreement":null},{"id":"W4399097406","doi":"10.1080/12265934.2024.2358415","title":"A joint model of residential mobility and location choice decisions","year":2024,"lang":"en","type":"article","venue":"International Journal of Urban Sciences","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia; University of British Columbia Hospital","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Joint (building); Computer science; Transport engineering; Operations research; Engineering; Architectural engineering","score_opus":0.07876052801927289,"score_gpt":0.3830886274914707,"score_spread":0.30432809947219785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399097406","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98511344,0.0015232902,0.007652213,0.00231283,0.001022244,0.00005869905,0.000009852654,0.000010970434,0.0022964634],"genre_scores_gemma":[0.9981023,0.00013171985,0.0012002193,0.000032951404,0.00033299267,7.63965e-7,4.2764466e-7,0.0000021880037,0.00019640573],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99815065,0.00005572633,0.0004675223,0.00015590648,0.0010651683,0.000105055864],"domain_scores_gemma":[0.99859536,0.00029763608,0.0001963773,0.000056610803,0.0007743068,0.00007970652],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002142083,0.00005549386,0.00011889642,0.00024301441,0.0001446148,0.00022456933,0.00050779595,0.00003835966,0.00008258262],"category_scores_gemma":[0.0009554786,0.000042599568,0.000076413315,0.0004065934,0.0008017949,0.0010559132,0.000033137898,0.000111636546,0.0000014569212],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018746503,0.0006965142,0.7403829,0.00008638955,0.0002860177,0.000054849657,0.039324507,0.007369438,0.011125979,0.14412536,0.008850463,0.047510117],"study_design_scores_gemma":[0.0010260452,0.00040683962,0.6163606,0.001725876,0.00018502235,0.000026587068,0.0065681664,0.06665468,0.00492906,0.2915334,0.010043957,0.0005397484],"about_ca_topic_score_codex":0.00071681105,"about_ca_topic_score_gemma":0.0007571715,"teacher_disagreement_score":0.14740805,"about_ca_system_score_codex":0.000067362365,"about_ca_system_score_gemma":0.00083993096,"threshold_uncertainty_score":0.29542467},"labels":[],"label_agreement":null},{"id":"W4399128474","doi":"10.5539/ijms.v16n1p117","title":"Exploring Subjective Attitudes Towards Public Transport of Intercity Travel and Their Relationships","year":2024,"lang":"en","type":"article","venue":"International Journal of Marketing Studies","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Public transport; Business; Marketing; Advertising; Transport engineering; Engineering","score_opus":0.24403062217518798,"score_gpt":0.3765634867575953,"score_spread":0.13253286458240734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399128474","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9881572,0.0047942162,0.0004686409,0.002799742,0.0011867383,0.000053568052,0.0000139934355,0.000018139248,0.0025077728],"genre_scores_gemma":[0.99646723,0.0028390938,0.0002272561,0.000010679037,0.00036558526,0.000003419368,8.6577484e-7,0.000006327976,0.000079561025],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985638,0.00029078504,0.00047774956,0.00013030037,0.00041888846,0.000118460535],"domain_scores_gemma":[0.9977256,0.0012287403,0.00018422784,0.000041497828,0.00077055354,0.000049347396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005767338,0.000093299335,0.00022728686,0.0002149019,0.00016342754,0.00006470571,0.0002527488,0.000032848282,0.00002776163],"category_scores_gemma":[0.0017374215,0.00006975466,0.0001411466,0.00016473886,0.00034409467,0.00089859864,0.000027742219,0.00026797227,3.205341e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001974741,0.00007094672,0.91089654,0.00011111919,0.000953905,0.000028404036,0.05793841,0.0000023448322,0.00013743853,0.0017608787,0.000050699102,0.027851831],"study_design_scores_gemma":[0.00012588473,0.000021773985,0.971137,0.0005832761,0.00003144453,0.0000042907573,0.025526011,0.0000072264484,0.00021488898,0.0015088832,0.0007691576,0.00007017294],"about_ca_topic_score_codex":0.00013212992,"about_ca_topic_score_gemma":0.00081571634,"teacher_disagreement_score":0.06024044,"about_ca_system_score_codex":0.00012611516,"about_ca_system_score_gemma":0.00016426815,"threshold_uncertainty_score":0.28445125},"labels":[],"label_agreement":null},{"id":"W4399143293","doi":"10.1016/j.annepidem.2024.05.009","title":"Prospective associations between neighborhood features and body mass index in Montreal adolescents.","year":2024,"lang":"en","type":"article","venue":"Annals of Epidemiology","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Montréal; McGill University; Centre Hospitalier Universitaire Sainte-Justine","funders":"","keywords":"Body mass index; Anthropometry; Demography; Medicine; Environmental health; Geography; Built environment; Population; Land use; Census; Vegetation (pathology); Walkability; Level design; Multilevel model; Statistics; Ecology; Physical activity","score_opus":0.0699853613861713,"score_gpt":0.3984707959481439,"score_spread":0.3284854345619726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399143293","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9716736,0.004672672,0.00018238327,0.0098942695,0.00018818925,0.000343004,0.00014375709,0.00006404221,0.01283809],"genre_scores_gemma":[0.9988826,0.00035255813,0.000030473737,0.00026632164,0.00021860075,0.0000092916935,0.000022752629,0.0000056474037,0.00021177247],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99823934,0.0005437773,0.00041626318,0.00031605354,0.000100799065,0.00038374044],"domain_scores_gemma":[0.9984492,0.0011604818,0.00011470831,0.000105705556,0.00007206894,0.000097810465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029949138,0.000095746596,0.0004217881,0.00010911132,0.0000928269,0.000013028047,0.00014107002,0.00025403616,0.00002954912],"category_scores_gemma":[0.0018400985,0.00008449478,0.000086229666,0.000289483,0.00030529452,0.00019452813,0.000018228237,0.000297741,0.000003631615],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010951567,0.00002972669,0.9839802,0.000020956437,0.000036655078,0.000002983336,0.0010404682,0.000001981989,0.0000037603186,0.011200469,0.0011899599,0.0024819302],"study_design_scores_gemma":[0.00008068474,0.000022879,0.8416313,0.00004799985,0.0000120540535,4.0325517e-8,0.00013385375,0.000019559604,0.000009212283,0.1577171,0.00025940538,0.00006594533],"about_ca_topic_score_codex":0.014915057,"about_ca_topic_score_gemma":0.015008103,"teacher_disagreement_score":0.14651662,"about_ca_system_score_codex":0.000030805935,"about_ca_system_score_gemma":0.00008548564,"threshold_uncertainty_score":0.9916447},"labels":[],"label_agreement":null},{"id":"W4399190922","doi":"10.1007/s11116-024-10497-2","title":"Everything has changed: the impacts of the COVID-19 pandemic on the transit market in Montréal, Canada","year":2024,"lang":"en","type":"article","venue":"Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Market segmentation; Paratransit; Telecommuting; Pandemic; Public transport; Business; Mode choice; Coronavirus disease 2019 (COVID-19); Transit (satellite); Demographic economics; Transport engineering; Marketing; Service (business); Economics; Engineering","score_opus":0.050230741542345025,"score_gpt":0.29197978922799284,"score_spread":0.2417490476856478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399190922","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9556284,0.000765937,0.00006773881,0.0418871,0.00029185475,0.0004909395,0.00008836903,0.000035404144,0.0007442817],"genre_scores_gemma":[0.9981788,0.00011556507,0.0000019384504,0.001399457,0.0000559639,0.000021837597,0.00001131384,0.000008034823,0.00020709925],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99865305,0.00019755542,0.00026553686,0.00017575352,0.00049864233,0.00020945098],"domain_scores_gemma":[0.99917865,0.0004844388,0.000062939915,0.00018743446,0.000024547686,0.00006198608],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013232181,0.00009837586,0.00011192306,0.000029867695,0.00044171856,0.000050635477,0.0003163921,0.00006316271,0.00026939317],"category_scores_gemma":[0.00006449593,0.000049211296,0.00008623018,0.0005337535,0.0002149571,0.00014911345,0.0000010581267,0.00025747422,7.7753276e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011746801,0.000044152806,0.851712,0.0001817495,0.00004125168,0.000022754228,0.13373215,0.0005706336,0.00020767587,0.003047043,0.0089661805,0.0013569397],"study_design_scores_gemma":[0.00016159353,0.0000101822125,0.96273047,0.00008744972,0.000047982918,1.8839947e-7,0.005209107,0.00011764634,0.000074970136,0.0014559978,0.03000882,0.00009558291],"about_ca_topic_score_codex":0.89902234,"about_ca_topic_score_gemma":0.9979784,"teacher_disagreement_score":0.12852304,"about_ca_system_score_codex":0.00022078132,"about_ca_system_score_gemma":0.0012807611,"threshold_uncertainty_score":0.33973867},"labels":[],"label_agreement":null},{"id":"W4399304240","doi":"10.3390/disabilities4020025","title":"Enhancing Employment Access for People with Disabilities through Transportation: Insights from Workers with Disabilities, Employers, and Transportation Providers","year":2024,"lang":"en","type":"article","venue":"Disabilities","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Université Laval; McGill University; Université de Montréal; Centre for Interdisciplinary Research in Rehabilitation","funders":"Réseau Provincial de Recherche en Adaptation-Réadaptation","keywords":"Business; Work (physics); Public transport; Qualitative research; Sustainability; Public relations; Transport engineering; Engineering; Sociology; Political science","score_opus":0.031214681771700344,"score_gpt":0.3060935599492844,"score_spread":0.27487887817758405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399304240","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9889678,0.0016672419,0.002918744,0.0018657766,0.00035299858,0.002166791,0.00083685364,0.0005263792,0.00069745036],"genre_scores_gemma":[0.9956191,0.00008832769,0.0010163345,0.000082942526,0.00031168133,0.0010939467,0.0007721499,0.000079176076,0.0009363473],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9966397,0.00012334404,0.0006983856,0.0011370311,0.0007574882,0.00064402854],"domain_scores_gemma":[0.99680316,0.0023029197,0.00010303743,0.00041245186,0.00016773895,0.00021069068],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002635713,0.0004974424,0.0006109921,0.00006906498,0.0008220426,0.00080917747,0.00036447425,0.00017981068,0.00041185334],"category_scores_gemma":[0.00012434144,0.00037650668,0.0001903536,0.0005277247,0.0023084779,0.0036492972,0.0000071054974,0.00022983109,0.0000029823484],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039854975,0.0001264626,0.64781356,0.0008528616,0.00013959351,0.0000017598855,0.34090477,0.00004299355,0.000010922437,0.009036092,0.0001565638,0.0005158841],"study_design_scores_gemma":[0.00092176936,0.00042156124,0.2711457,0.00074109324,0.00043106236,2.5013887e-7,0.683776,0.000017821187,0.000549989,0.032834888,0.008257087,0.0009027908],"about_ca_topic_score_codex":0.03858452,"about_ca_topic_score_gemma":0.4755713,"teacher_disagreement_score":0.4369868,"about_ca_system_score_codex":0.000290937,"about_ca_system_score_gemma":0.0005757138,"threshold_uncertainty_score":0.9998687},"labels":[],"label_agreement":null},{"id":"W4399397881","doi":"10.2196/58761","title":"Moderation Effects of Streetscape Perceptions on the Associations Between Accessibility, Land Use Mix, and Bike-Sharing Use: Cross-Sectional Study","year":2024,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Moderation; Cross-sectional study; Perception; Psychology; Environmental health; Social psychology; Medicine; Statistics; Mathematics","score_opus":0.09387230415278616,"score_gpt":0.3968326379580325,"score_spread":0.30296033380524634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399397881","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962501,0.00015398907,0.000109108165,0.002015257,0.00016999248,0.00096120994,0.00015536752,0.00008528261,0.00009972398],"genre_scores_gemma":[0.99932337,0.00006597358,0.00001278194,0.000106468586,0.00017922305,0.0000637558,0.00007010623,0.000008189508,0.00017014891],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979881,0.00048325892,0.0004001015,0.00041739637,0.0004047949,0.00030632797],"domain_scores_gemma":[0.9975648,0.0017717206,0.00010891608,0.00019334124,0.00013965616,0.0002215748],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0025590179,0.00011272111,0.00021721829,0.00009086697,0.0011409486,0.0012764479,0.00014064263,0.00009390498,0.000026905152],"category_scores_gemma":[0.0006828896,0.000084124506,0.000045125595,0.0004061034,0.00020232418,0.00094542763,0.000039607497,0.00023224276,0.0000013456477],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000051387196,0.000103115686,0.9940616,0.00007494152,0.00002129657,4.8352035e-7,0.0037883052,0.0000014258935,0.000001485118,0.00060855143,0.00006636944,0.0012672935],"study_design_scores_gemma":[0.00017018737,0.00007730593,0.9986148,0.000012490374,0.0000013418457,6.701447e-8,0.0002419413,0.00021359565,2.1171081e-7,0.00028424515,0.00030424361,0.00007957566],"about_ca_topic_score_codex":0.0037881339,"about_ca_topic_score_gemma":0.01503542,"teacher_disagreement_score":0.011247286,"about_ca_system_score_codex":0.00010785347,"about_ca_system_score_gemma":0.00037401245,"threshold_uncertainty_score":0.9997603},"labels":[],"label_agreement":null},{"id":"W4399417219","doi":"10.1155/2024/2888275","title":"The Issue of Subway Commuters’ Departure Time Choices under the Influence of Bike‐Sharing","year":2024,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Bike sharing; Transport engineering; Computer science; Engineering","score_opus":0.010726734386384931,"score_gpt":0.3041635000914025,"score_spread":0.2934367657050176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399417219","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954509,0.0020375096,0.00026958305,0.0016269267,0.00026465938,0.00012254187,0.000011831827,0.000012139286,0.00020392174],"genre_scores_gemma":[0.99896914,0.00048438227,0.0001775177,0.00004553658,0.000108098124,0.0000017422982,0.0000038094697,0.0000070081046,0.00020277278],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99871075,0.0000511775,0.0005743194,0.00009251945,0.0004374777,0.0001337669],"domain_scores_gemma":[0.99880975,0.00035785654,0.00040097814,0.00013431259,0.0002546743,0.000042426385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008027381,0.00007982861,0.00017177462,0.000049314905,0.00022048227,0.000042940872,0.0004225033,0.00005302028,0.000040468185],"category_scores_gemma":[0.00002716682,0.000045287932,0.00014592524,0.00036490292,0.00030132552,0.00077341904,0.000002075607,0.00022705348,0.0000015060922],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011174835,0.00040792726,0.44609883,0.0010090506,0.0008295766,0.00006487949,0.17963257,0.22245467,0.08455458,0.03379922,0.00056640455,0.029464815],"study_design_scores_gemma":[0.00026087937,0.000077943645,0.96617717,0.00029352328,0.00013359638,6.71967e-7,0.0047272714,0.000032757147,0.0029479791,0.008516576,0.016737571,0.000094058836],"about_ca_topic_score_codex":0.0002167976,"about_ca_topic_score_gemma":0.0029162918,"teacher_disagreement_score":0.52007836,"about_ca_system_score_codex":0.000027026535,"about_ca_system_score_gemma":0.00012317229,"threshold_uncertainty_score":0.18467882},"labels":[],"label_agreement":null},{"id":"W4399464614","doi":"10.1177/03611981241242775","title":"Trends in Toronto’s Subway Ridership Recovery: An Exploratory Analysis of Wi-Fi Records","year":2024,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Destinations; Downtown; Transport engineering; Leverage (statistics); Proxy (statistics); Transit (satellite); Business; Travel behavior; Exploratory analysis; Public transport; Geography; Computer science; Engineering; Tourism","score_opus":0.1412944494826974,"score_gpt":0.4507060299721268,"score_spread":0.3094115804894294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399464614","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9927597,0.0013617069,0.0003034195,0.002026476,0.0008628008,0.0005218204,0.00019542067,0.000048656144,0.0019199774],"genre_scores_gemma":[0.99526405,0.0023126146,0.0003199537,0.000018856661,0.00026617883,0.000050679493,0.000084513405,0.000047910817,0.0016352325],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98823714,0.003260897,0.0020721154,0.0006639376,0.004681269,0.0010846532],"domain_scores_gemma":[0.99455744,0.0013738929,0.00041749145,0.0006383536,0.0024679804,0.00054482085],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.015500911,0.0002783968,0.0008127356,0.0035405844,0.00056354183,0.00026463982,0.0015714258,0.00033395665,0.003975441],"category_scores_gemma":[0.00020145006,0.00022569281,0.0009734428,0.011127163,0.0011937267,0.003070868,0.000005524526,0.0019933037,0.0000066021585],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017633964,0.00059428305,0.9032846,0.00026839782,0.0008382846,0.00014621732,0.04426708,0.0007222186,0.0006684238,0.005759181,0.0024436803,0.03924424],"study_design_scores_gemma":[0.0005739776,0.000558784,0.96191156,0.00033995643,0.0003433522,2.7181759e-8,0.023331968,0.00018783117,0.0002786987,0.0029351318,0.009306429,0.00023227815],"about_ca_topic_score_codex":0.20445995,"about_ca_topic_score_gemma":0.9493418,"teacher_disagreement_score":0.7448818,"about_ca_system_score_codex":0.0011017752,"about_ca_system_score_gemma":0.0016009567,"threshold_uncertainty_score":0.99693507},"labels":[],"label_agreement":null},{"id":"W4399520103","doi":"10.32866/001c.118813","title":"Revisiting COVID-19’s Impact on Cycling: An Examination of Bicycle Count Data in Montréal","year":2024,"lang":"en","type":"article","venue":"Findings","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Cycling; Coronavirus disease 2019 (COVID-19); Imputation (statistics); Count data; Missing data; Pandemic; Context (archaeology); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Data quality; Data collection; Statistics; Geography; Computer science; Engineering; Medicine; Operations management; Mathematics; Virology","score_opus":0.07538669088387767,"score_gpt":0.39952906660405824,"score_spread":0.32414237572018056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399520103","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961849,0.0002452346,0.0000772855,0.00068954873,0.00010357974,0.00013741171,0.00010437587,0.00006541195,0.0023922415],"genre_scores_gemma":[0.9994337,0.000025308502,0.000051197883,0.000081784216,0.00016685552,0.0000022451986,0.00012638966,0.0000073442034,0.00010520717],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99887633,0.000088918,0.00023117673,0.00030814792,0.00031052643,0.00018491274],"domain_scores_gemma":[0.9993582,0.00021463343,0.000050034567,0.00025299087,0.000020379088,0.00010375759],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025056195,0.00007454394,0.00012996118,0.00013137967,0.00013384844,0.00010049342,0.00034492314,0.0000708177,0.00019856957],"category_scores_gemma":[0.00043320307,0.00006457893,0.00003500937,0.00043252256,0.00007962148,0.0006931889,0.000026235628,0.00012977127,0.000010187786],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004636679,0.00012955943,0.9301125,0.0002393274,0.00001679738,0.0000508251,0.035541628,0.00008622011,0.0007462919,0.0033593224,0.0006564952,0.029014679],"study_design_scores_gemma":[0.00013638659,0.000038123515,0.99015087,0.00014532324,0.00001296564,1.6646814e-7,0.0015231878,0.0020906243,0.000095571675,0.00072987744,0.004962125,0.00011476604],"about_ca_topic_score_codex":0.016998868,"about_ca_topic_score_gemma":0.003576073,"teacher_disagreement_score":0.060038395,"about_ca_system_score_codex":0.00024890533,"about_ca_system_score_gemma":0.00022116165,"threshold_uncertainty_score":0.989547},"labels":[],"label_agreement":null},{"id":"W4399553328","doi":"10.1016/j.ypmed.2024.108037","title":"The relationship between neighbourhood built characteristics, physical activity, and health-related fitness in urban dwelling Canadian adults: A mediation analysis.","year":2024,"lang":"en","type":"article","venue":"Preventive Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Libin Cardiovascular Institute of Alberta; University of Calgary","funders":"Canadian Institutes of Health Research","keywords":"Neighbourhood (mathematics); Mediation; Medicine; Physical activity; Physical fitness; Gerontology; Environmental health; Physical therapy","score_opus":0.04325319481929241,"score_gpt":0.35394245097054894,"score_spread":0.31068925615125653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399553328","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9784666,0.0013988371,0.00024362456,0.018733583,0.00022786444,0.0003671539,0.000029840321,0.00003878854,0.0004937546],"genre_scores_gemma":[0.99898404,0.00007321352,0.0000035775643,0.000024244542,0.0004993535,0.000018408155,0.00009752951,0.000007969638,0.000291677],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99843496,0.00032888594,0.00031601384,0.0003037748,0.00029772127,0.00031861707],"domain_scores_gemma":[0.9983715,0.001092877,0.00011988424,0.00012811481,0.000052692605,0.00023493245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020432593,0.00011246227,0.00031480566,0.0002487688,0.0005064196,0.00006172933,0.00015109713,0.000073949115,0.000050931423],"category_scores_gemma":[0.00052455685,0.00008141359,0.00006309318,0.0013214466,0.00033533628,0.00023010129,0.000012569535,0.0003599896,0.000004322002],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006062887,0.00001780627,0.9636476,0.000036664675,0.0000750423,0.000004135272,0.021557325,6.080744e-7,6.5671964e-7,0.0022387314,0.00004087933,0.012374483],"study_design_scores_gemma":[0.0001823979,0.000026043717,0.9922116,0.00018243713,0.00013674784,4.551968e-8,0.0007935164,0.0010491449,9.524846e-7,0.0050891708,0.00024856185,0.00007942442],"about_ca_topic_score_codex":0.30704644,"about_ca_topic_score_gemma":0.6733373,"teacher_disagreement_score":0.36629087,"about_ca_system_score_codex":0.0002804352,"about_ca_system_score_gemma":0.0004002235,"threshold_uncertainty_score":0.697568},"labels":[],"label_agreement":null},{"id":"W4399564446","doi":"10.1016/j.cstp.2024.101244","title":"Development of an integrated urban modelling framework for examining the impacts of work from home on travel behavior","year":2024,"lang":"en","type":"article","venue":"Case Studies on Transport Policy","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Work (physics); Transport engineering; Travel behavior; Computer science; Environmental planning; Engineering; Environmental science","score_opus":0.1106147000292213,"score_gpt":0.3829455137277425,"score_spread":0.2723308136985212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399564446","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9937141,0.0007591361,0.003889123,0.0001419469,0.00033901905,0.00060108374,0.00030115028,0.00007009311,0.00018434551],"genre_scores_gemma":[0.9933771,0.000060906386,0.0059328233,0.00006204956,0.00033451297,0.000104496845,0.000049033428,0.000029401996,0.000049680282],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9981323,0.00005518887,0.00068023225,0.00040595786,0.00035062822,0.00037570857],"domain_scores_gemma":[0.9987654,0.00053990213,0.0001441826,0.00028596428,0.00013503802,0.0001295258],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075115595,0.0002459565,0.00046050604,0.00015723165,0.00047422037,0.000024933332,0.00026204778,0.00015191818,0.00002021423],"category_scores_gemma":[0.00006354011,0.00016933473,0.00016392083,0.0007287503,0.00046199787,0.00013662186,0.000005838294,0.00027827575,0.0000014125972],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007246109,0.00087986427,0.029286377,0.0004539564,0.00086121086,0.00053156656,0.88946205,0.0007924047,0.00020316514,0.028315416,0.000054709573,0.048434686],"study_design_scores_gemma":[0.003190524,0.0022426548,0.4187947,0.010339737,0.0030188132,0.00000959347,0.4981817,0.00072002254,0.02865024,0.0244909,0.006950817,0.003410289],"about_ca_topic_score_codex":0.0021623548,"about_ca_topic_score_gemma":0.0037325397,"teacher_disagreement_score":0.39128032,"about_ca_system_score_codex":0.00014517321,"about_ca_system_score_gemma":0.0005202406,"threshold_uncertainty_score":0.690527},"labels":[],"label_agreement":null},{"id":"W4399595966","doi":"10.1016/j.trd.2024.104273","title":"Should transit-oriented development consider station age effects?","year":2024,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Tongji University; National Natural Science Foundation of China","keywords":"Transit-oriented development; Transit (satellite); Transport engineering; Computer science; Engineering; Public transport","score_opus":0.08810036451630072,"score_gpt":0.3724780125245659,"score_spread":0.2843776480082652,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399595966","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98110807,0.0016790204,0.010907325,0.0016232722,0.00032465692,0.0012907767,0.00009284631,0.00027976438,0.0026942473],"genre_scores_gemma":[0.9941652,0.0012507106,0.000838516,0.00006858106,0.00012659995,0.00025046297,0.0007173395,0.00003831144,0.0025443104],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9962012,0.00019052306,0.0005963373,0.0007652349,0.0014875837,0.00075908675],"domain_scores_gemma":[0.9990294,0.0002529502,0.00003448894,0.00021038268,0.000051493997,0.00042131095],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0017788018,0.00026383516,0.00028904277,0.00023824793,0.0008750761,0.00010211175,0.00015943435,0.0002038628,0.0012953753],"category_scores_gemma":[0.0000074691093,0.00025329852,0.00011749573,0.0004342607,0.0009259129,0.0005297152,0.0000025297156,0.0005205915,0.00009128513],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00054605125,0.0013406248,0.551985,0.0032482042,0.0006661446,0.0036860036,0.28690305,0.00045213968,0.0027984239,0.056580618,0.0021187933,0.08967492],"study_design_scores_gemma":[0.00052331237,0.00007276785,0.5220331,0.00017563434,0.00008556904,2.536556e-7,0.0019100647,0.000023914474,0.00087320514,0.0014454268,0.47250396,0.00035276907],"about_ca_topic_score_codex":0.0016426259,"about_ca_topic_score_gemma":0.010940065,"teacher_disagreement_score":0.47038516,"about_ca_system_score_codex":0.00015862312,"about_ca_system_score_gemma":0.00028395315,"threshold_uncertainty_score":0.99999195},"labels":[],"label_agreement":null},{"id":"W4399609341","doi":"10.1016/j.healthplace.2024.103285","title":"A cross-cultural investigation of active transportation and community participation: Results from the WHO survey of Global Ageing and Adult Health","year":2024,"lang":"en","type":"article","venue":"Health & Place","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Social Sciences and Humanities Research Council of Canada; Fonds de Recherche du Québec-Société et Culture","keywords":"Variance (accounting); Geography; Community participation; China; Confirmatory factor analysis; Demographic economics; Social capital; Environmental health; Economic growth; Gerontology; Psychology; Political science; Socioeconomics; Business; Medicine; Economics; Marketing","score_opus":0.08545147843042528,"score_gpt":0.41738326622067046,"score_spread":0.3319317877902452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399609341","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9918617,0.0008772404,0.000040168445,0.0052484563,0.00006950856,0.00028171725,0.0015392995,0.000023725359,0.000058175137],"genre_scores_gemma":[0.99907553,0.00022413996,0.00006733232,0.00024025462,0.00002735821,0.000004562852,0.00034641285,0.0000026047771,0.000011800576],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99789536,0.0011598768,0.0004345492,0.00015086736,0.0002075519,0.00015181169],"domain_scores_gemma":[0.99848354,0.000874319,0.0002301256,0.000106794774,0.00019357236,0.00011167128],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026614054,0.00006700191,0.00017947475,0.000008446706,0.0006299157,0.000057808673,0.00007950694,0.00005064455,0.000004212525],"category_scores_gemma":[0.0003706321,0.00005103857,0.000017852326,0.0003168075,0.0005313794,0.00038899982,0.0000050930107,0.00019206756,1.7659151e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017367392,0.000017681989,0.83500457,0.00017347658,0.000010061897,2.6541005e-7,0.15815303,0.0000077499435,0.0000039797837,0.00048466193,0.00016140415,0.005809449],"study_design_scores_gemma":[0.00026186733,0.00006522881,0.9939301,0.00018384695,0.000006575484,3.2405286e-8,0.0047207917,0.00012094515,0.000021404549,0.00056997914,0.000078707235,0.0000404973],"about_ca_topic_score_codex":0.6178204,"about_ca_topic_score_gemma":0.69978553,"teacher_disagreement_score":0.15892556,"about_ca_system_score_codex":0.00009616899,"about_ca_system_score_gemma":0.00055381306,"threshold_uncertainty_score":0.4844866},"labels":[],"label_agreement":null},{"id":"W4399664006","doi":"10.32866/001c.118435","title":"Post-pandemic Recovery of Transit Ridership and Revenue in Canada","year":2024,"lang":"en","type":"article","venue":"Findings","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Revenue; Pandemic; Transit (satellite); Business; Coronavirus disease 2019 (COVID-19); Public transport; Immigration; Population; Demographic economics; Geography; Transport engineering; Economics; Finance; Medicine; Engineering; Environmental health","score_opus":0.019474122657812364,"score_gpt":0.26015028995784983,"score_spread":0.24067616730003746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399664006","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968293,0.00071828096,0.000003892246,0.0007932054,0.00017937137,0.00006750548,0.00007300064,0.000010311413,0.0013251384],"genre_scores_gemma":[0.99887645,0.000063554944,0.000009572347,0.000053260806,0.00003175901,0.0000015910655,0.000003660056,0.0000034934808,0.0009566724],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994711,0.000023529392,0.00012320017,0.00012513668,0.00012386413,0.00013312821],"domain_scores_gemma":[0.99980366,0.00009042605,0.0000131579245,0.000042387244,0.000012619024,0.000037730188],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031960293,0.000040954776,0.0000908028,0.000042371437,0.000041701132,0.000018196952,0.00007465083,0.000038943046,0.00012653066],"category_scores_gemma":[0.00004103748,0.000040788007,0.000021592845,0.00018817284,0.00005896709,0.0001478761,0.0000033515428,0.00009845951,0.0000011203988],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012412314,0.0000042234,0.98701316,0.00009318795,0.0000053117014,0.000012351635,0.007467595,0.0000010015958,0.00038570332,0.00021876076,0.0006952414,0.004091021],"study_design_scores_gemma":[0.00010051216,0.000016124992,0.9871678,0.00017983437,0.000012259526,2.937664e-7,0.0019004355,0.000007702148,0.0002780499,0.002235908,0.008000545,0.00010054676],"about_ca_topic_score_codex":0.9467907,"about_ca_topic_score_gemma":0.99465746,"teacher_disagreement_score":0.047866724,"about_ca_system_score_codex":0.00014457197,"about_ca_system_score_gemma":0.00090730825,"threshold_uncertainty_score":0.16632867},"labels":[],"label_agreement":null},{"id":"W4399717575","doi":"10.1016/j.jcmr.2024.100035","title":"Exploring gender differences in awareness of new active transportation projects: Réseau Express Vélo (REV) case study","year":2024,"lang":"en","type":"article","venue":"Journal of Cycling and Micromobility Research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Saskatchewan","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Socioeconomic status; Equity (law); Ethnic group; Perception; Scale (ratio); Car ownership; Logistic regression; Social equality; Psychology; Public transport; Geography; Business; Marketing; Demographic economics; Sociology; Political science; Transport engineering; Demography; Computer science; Economics; Engineering; Cartography","score_opus":0.47359046166084057,"score_gpt":0.4752586817445498,"score_spread":0.0016682200837092598,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399717575","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997559,0.0014674003,0.00008072907,0.00011832973,0.00022102417,0.0004707615,0.0000106200905,0.000012302435,0.000059825168],"genre_scores_gemma":[0.99917406,0.0004899486,0.00009530377,0.0000012792814,0.00017623675,0.000014361453,8.9362e-7,0.000008467281,0.000039473856],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99734235,0.00060014334,0.00070153765,0.0003112064,0.00071814185,0.0003265963],"domain_scores_gemma":[0.99855804,0.0006447195,0.00011691944,0.0001392563,0.00037396082,0.0001670922],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005443508,0.00011046785,0.00037080856,0.0003954856,0.00024566086,0.000120247336,0.00023910997,0.00007636372,0.000029405135],"category_scores_gemma":[0.0002120826,0.00008810351,0.00010190955,0.0007278929,0.00031046203,0.00094473973,0.000016101978,0.00068822614,3.3121077e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019959133,0.0005548832,0.7577047,0.0003303014,0.00005601302,0.0008669752,0.22167212,0.000005286603,0.0031277535,0.00001917858,0.000008596521,0.015454604],"study_design_scores_gemma":[0.0007491422,0.0003513323,0.66830456,0.00050731987,0.000056966473,0.000021532383,0.32378566,0.000021077367,0.004584104,0.0013666225,0.00009815151,0.00015351246],"about_ca_topic_score_codex":0.030323349,"about_ca_topic_score_gemma":0.016502202,"teacher_disagreement_score":0.10211352,"about_ca_system_score_codex":0.0001276651,"about_ca_system_score_gemma":0.0010757685,"threshold_uncertainty_score":0.9761338},"labels":[],"label_agreement":null},{"id":"W4399738823","doi":"10.1155/2024/2196799","title":"The Relationship between Built Environment Characteristics and Metro Stations Pedestrian Catchment Areas","year":2024,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Chengdu Medical College","keywords":"Pedestrian; Drainage basin; Catchment area; Transport engineering; Environmental science; Geography; Civil engineering; Hydrology (agriculture); Engineering; Cartography; Geotechnical engineering","score_opus":0.03557786502015259,"score_gpt":0.3258560475391968,"score_spread":0.2902781825190442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399738823","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9910852,0.001207411,0.0046941936,0.002329036,0.00041294366,0.00015091532,0.00004717536,0.000016822163,0.000056328678],"genre_scores_gemma":[0.99805796,0.00062847143,0.000783516,0.000009524118,0.0003270209,0.0000048691904,0.000039288934,0.000007742929,0.00014161992],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988257,0.000060225255,0.0004964308,0.000111449306,0.00036772733,0.00013841478],"domain_scores_gemma":[0.9988622,0.00067852304,0.00021752917,0.000072622606,0.00006138325,0.000107708],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000656973,0.00007888697,0.00012565138,0.000066719185,0.00045745514,0.00010540516,0.00009981571,0.00004551134,0.000017265296],"category_scores_gemma":[0.00008437701,0.00005888512,0.00007362182,0.0001602102,0.00014104781,0.00054827373,9.602154e-7,0.00020907926,0.0000021641522],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024484632,0.000017054741,0.9806807,0.0000259894,0.000026591224,0.000009235685,0.005726375,0.00007709062,0.000028216808,0.0021111483,0.000018638992,0.011254446],"study_design_scores_gemma":[0.00015811721,0.00004256278,0.97810286,0.0000483118,0.000117851225,1.9495779e-7,0.0028140522,0.0000016377014,0.000021124297,0.0067908117,0.011838408,0.000064064014],"about_ca_topic_score_codex":0.000098875425,"about_ca_topic_score_gemma":0.0010183385,"teacher_disagreement_score":0.01181977,"about_ca_system_score_codex":0.0000981084,"about_ca_system_score_gemma":0.00013945787,"threshold_uncertainty_score":0.35184214},"labels":[],"label_agreement":null},{"id":"W4399762415","doi":"10.32920/26060815","title":"Impacts of the King Street Priority Corridor on Environmental Perceptions: Gender, Mobility and Safety","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University; Fanshawe College; University of Toronto","funders":"","keywords":"Environmental planning; Perception; Geography; Transport engineering; Environmental resource management; Environmental science; Psychology; Engineering","score_opus":0.029553898820845262,"score_gpt":0.30552635760577757,"score_spread":0.2759724587849323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399762415","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9889558,0.0003708293,0.00001743795,0.00022357382,0.00062566035,0.0007499381,0.00037375113,0.00005687316,0.008626168],"genre_scores_gemma":[0.9991383,0.00028532374,0.00009919458,0.00005336936,0.00014339625,0.0000108919785,0.000020223868,0.000009573345,0.00023973639],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99823564,0.00015701563,0.00035672385,0.00053297856,0.0004893052,0.00022832207],"domain_scores_gemma":[0.99915123,0.00009329777,0.00013017988,0.0004999964,0.000015535123,0.00010977715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086262706,0.00019424122,0.00025605704,0.000032443968,0.00034997056,0.0000710139,0.00037572032,0.00026642295,0.00088830455],"category_scores_gemma":[0.000043824195,0.00013160348,0.00021722916,0.00008284688,0.00077824056,0.000068142945,0.00047758495,0.00066698575,0.000006975319],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023433928,0.00017597071,0.98926544,0.00018967206,0.00003092585,7.8020065e-7,0.006469124,0.000012304474,0.00009553021,0.00078058493,0.00006651222,0.002889696],"study_design_scores_gemma":[0.00008945528,0.000012957051,0.9802294,0.00008975839,0.000066490036,6.175291e-8,0.0039776512,0.000037879887,0.00006536752,0.0150936,0.00019291647,0.00014445782],"about_ca_topic_score_codex":0.010075841,"about_ca_topic_score_gemma":0.019363722,"teacher_disagreement_score":0.014313015,"about_ca_system_score_codex":0.00029564052,"about_ca_system_score_gemma":0.0002706074,"threshold_uncertainty_score":0.9985303},"labels":[],"label_agreement":null},{"id":"W4399762417","doi":"10.32920/26060815.v1","title":"Impacts of the King Street Priority Corridor on Environmental Perceptions: Gender, Mobility and Safety","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University; Fanshawe College; University of Toronto","funders":"","keywords":"Transport engineering; Perception; Environmental planning; Business; Geography; Psychology; Engineering","score_opus":0.029553898820845262,"score_gpt":0.30552635760577757,"score_spread":0.2759724587849323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399762417","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9889558,0.0003708293,0.00001743795,0.00022357382,0.00062566035,0.0007499381,0.00037375113,0.00005687316,0.008626168],"genre_scores_gemma":[0.9991383,0.00028532374,0.00009919458,0.00005336936,0.00014339625,0.0000108919785,0.000020223868,0.000009573345,0.00023973639],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99823564,0.00015701563,0.00035672385,0.00053297856,0.0004893052,0.00022832207],"domain_scores_gemma":[0.99915123,0.00009329777,0.00013017988,0.0004999964,0.000015535123,0.00010977715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086262706,0.00019424122,0.00025605704,0.000032443968,0.00034997056,0.0000710139,0.00037572032,0.00026642295,0.00088830455],"category_scores_gemma":[0.000043824195,0.00013160348,0.00021722916,0.00008284688,0.00077824056,0.000068142945,0.00047758495,0.00066698575,0.000006975319],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023433928,0.00017597071,0.98926544,0.00018967206,0.00003092585,7.8020065e-7,0.006469124,0.000012304474,0.00009553021,0.00078058493,0.00006651222,0.002889696],"study_design_scores_gemma":[0.00008945528,0.000012957051,0.9802294,0.00008975839,0.000066490036,6.175291e-8,0.0039776512,0.000037879887,0.00006536752,0.0150936,0.00019291647,0.00014445782],"about_ca_topic_score_codex":0.010075841,"about_ca_topic_score_gemma":0.019363722,"teacher_disagreement_score":0.014313015,"about_ca_system_score_codex":0.00029564052,"about_ca_system_score_gemma":0.0002706074,"threshold_uncertainty_score":0.9985303},"labels":[],"label_agreement":null},{"id":"W4399783681","doi":"10.1016/j.jpubtr.2024.100095","title":"Does fare-free transit increase labor-force participation and reduce income inequality?","year":2024,"lang":"en","type":"article","venue":"Journal of Public Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Mountain-Plains Consortium","keywords":"Inequality; Labour economics; Economic inequality; Transit (satellite); Economics; Demographic economics; Business; Public transport; Transport engineering; Mathematics; Engineering","score_opus":0.03111092903091119,"score_gpt":0.33170704299318415,"score_spread":0.300596113962273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399783681","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9850497,0.0007092926,0.0036544255,0.00951654,0.0005752043,0.00014130319,0.00006707463,0.00010351918,0.00018292494],"genre_scores_gemma":[0.9988029,0.00020290137,0.00030850313,0.00007400982,0.00038922517,0.000005802661,0.000026105065,0.000016349784,0.00017420624],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99808025,0.00019655422,0.00071273855,0.00018794791,0.00058120943,0.0002413123],"domain_scores_gemma":[0.9989161,0.0001442233,0.00020930455,0.00013287466,0.000334038,0.000263443],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020788533,0.0001185425,0.00022254248,0.00021413298,0.00016628193,0.00026301065,0.00023179568,0.000116634816,0.00011905253],"category_scores_gemma":[0.00018965514,0.00008040707,0.00011609264,0.0005822948,0.00017505864,0.002344707,0.0000019515753,0.00024634486,0.0000010597953],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001327718,0.00018768427,0.89938164,0.00037994725,0.00012251068,0.00009485237,0.039377455,0.00002530123,0.0013881229,0.031054264,0.00017431757,0.027681125],"study_design_scores_gemma":[0.00048065025,0.00006446025,0.97457355,0.00011510083,0.00013558287,6.477732e-7,0.0020176831,0.000037020804,0.00026188855,0.014527848,0.0076401504,0.00014539331],"about_ca_topic_score_codex":0.0010064213,"about_ca_topic_score_gemma":0.011141902,"teacher_disagreement_score":0.07519192,"about_ca_system_score_codex":0.00007373075,"about_ca_system_score_gemma":0.00039456703,"threshold_uncertainty_score":0.6217443},"labels":[],"label_agreement":null},{"id":"W4399828348","doi":"10.32920/26060812","title":"Exploring the Connection Between Temperature, the Physical Environment, and Socioeconomic Conditions in the Toronto Census Metropolitan Area Over Time","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Census; Socioeconomic status; Connection (principal bundle); Geography; Regional science; Socioeconomics; Demography; Population; Sociology; Engineering","score_opus":0.05681023024499324,"score_gpt":0.3101266206453932,"score_spread":0.2533163904004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399828348","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97674775,0.00040885707,0.0000015563913,0.004609414,0.00028472685,0.00062460353,0.000241111,0.00005043256,0.01703152],"genre_scores_gemma":[0.99763584,0.00020355928,0.0000033862163,0.00014009808,0.0010047117,0.00018662913,0.00008430044,0.0000128875345,0.0007285683],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985503,0.00031829922,0.00022670328,0.00041381211,0.00023142858,0.00025947485],"domain_scores_gemma":[0.9989099,0.0005859364,0.0000726059,0.00037482905,0.000009776928,0.0000469721],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087985717,0.00019536614,0.00023067121,0.000020588355,0.0007183896,0.00034674557,0.00046063052,0.00012000819,0.0004729731],"category_scores_gemma":[0.000016136551,0.00009579915,0.00016483387,0.00005170822,0.00065682724,0.00022304624,0.00017310776,0.00073179096,0.00003583166],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048058435,0.0005379203,0.47660533,0.00022927998,0.001195484,0.000015182048,0.19117522,0.0001039626,0.00051570014,0.30619797,0.020089144,0.0032867556],"study_design_scores_gemma":[0.0001512905,0.000020195403,0.8587445,0.0000348087,0.00027558455,2.1147154e-7,0.03798353,0.00008920844,0.000057285746,0.09579476,0.0065218965,0.0003267431],"about_ca_topic_score_codex":0.028471181,"about_ca_topic_score_gemma":0.016574167,"teacher_disagreement_score":0.38213918,"about_ca_system_score_codex":0.0007170756,"about_ca_system_score_gemma":0.00006833281,"threshold_uncertainty_score":0.9779983},"labels":[],"label_agreement":null},{"id":"W4399828403","doi":"10.32920/26060803.v1","title":"Equity-related Benefits of Public Transit Expansion: An Exploration of Post-secondary Student Travel Behavior Between 2015 and 2019 in the Toronto Region","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Equity (law); Transit (satellite); Public transport; Business; Finance; Transport engineering; Political science; Engineering","score_opus":0.1256837657310303,"score_gpt":0.386670805594491,"score_spread":0.2609870398634607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399828403","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9907443,0.0033053698,0.000048235677,0.0017384463,0.00024636128,0.0012267897,0.0010642724,0.000034003024,0.0015922262],"genre_scores_gemma":[0.9975676,0.00039422687,0.000025437033,0.000021507802,0.000083769984,0.000058818605,0.0017131538,0.000012075204,0.00012343489],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99728113,0.0003895605,0.0008277235,0.0005197126,0.0007288023,0.00025305394],"domain_scores_gemma":[0.99887615,0.000075632735,0.0002465379,0.0004513075,0.0002368977,0.00011346379],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022730608,0.00021882527,0.00048065025,0.00010951437,0.00010652461,0.00013362133,0.00070199353,0.00046327256,0.00022988742],"category_scores_gemma":[0.000014745086,0.00016368373,0.00013960939,0.00020175143,0.00028443598,0.0011020838,0.00017311219,0.00048097884,0.0000014077827],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000096590644,0.0027971892,0.3532731,0.0010219435,0.00021773002,0.000023169352,0.4752001,0.000024070663,0.0004692247,0.016032623,0.0011768272,0.14966744],"study_design_scores_gemma":[0.00033088846,0.00022629238,0.9557697,0.00012323994,0.0002367048,2.1986179e-7,0.037448972,0.0000022541346,0.00009134643,0.005476763,0.00005834948,0.00023523885],"about_ca_topic_score_codex":0.04118461,"about_ca_topic_score_gemma":0.2147052,"teacher_disagreement_score":0.6024966,"about_ca_system_score_codex":0.00011543623,"about_ca_system_score_gemma":0.00048242684,"threshold_uncertainty_score":0.96520025},"labels":[],"label_agreement":null},{"id":"W4399828404","doi":"10.32920/26060803","title":"Equity-related Benefits of Public Transit Expansion: An Exploration of Post-secondary Student Travel Behavior Between 2015 and 2019 in the Toronto Region","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Public transport; Equity (law); Transit (satellite); Travel behavior; Transport engineering; Regional science; Psychology; Geography; Political science; Business; Engineering","score_opus":0.1256837657310303,"score_gpt":0.386670805594491,"score_spread":0.2609870398634607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399828404","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9907443,0.0033053698,0.000048235677,0.0017384463,0.00024636128,0.0012267897,0.0010642724,0.000034003024,0.0015922262],"genre_scores_gemma":[0.9975676,0.00039422687,0.000025437033,0.000021507802,0.000083769984,0.000058818605,0.0017131538,0.000012075204,0.00012343489],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99728113,0.0003895605,0.0008277235,0.0005197126,0.0007288023,0.00025305394],"domain_scores_gemma":[0.99887615,0.000075632735,0.0002465379,0.0004513075,0.0002368977,0.00011346379],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022730608,0.00021882527,0.00048065025,0.00010951437,0.00010652461,0.00013362133,0.00070199353,0.00046327256,0.00022988742],"category_scores_gemma":[0.000014745086,0.00016368373,0.00013960939,0.00020175143,0.00028443598,0.0011020838,0.00017311219,0.00048097884,0.0000014077827],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000096590644,0.0027971892,0.3532731,0.0010219435,0.00021773002,0.000023169352,0.4752001,0.000024070663,0.0004692247,0.016032623,0.0011768272,0.14966744],"study_design_scores_gemma":[0.00033088846,0.00022629238,0.9557697,0.00012323994,0.0002367048,2.1986179e-7,0.037448972,0.0000022541346,0.00009134643,0.005476763,0.00005834948,0.00023523885],"about_ca_topic_score_codex":0.04118461,"about_ca_topic_score_gemma":0.2147052,"teacher_disagreement_score":0.6024966,"about_ca_system_score_codex":0.00011543623,"about_ca_system_score_gemma":0.00048242684,"threshold_uncertainty_score":0.96520025},"labels":[],"label_agreement":null},{"id":"W4399831924","doi":"10.1515/9782763726809-008","title":"La desserte en transport en commun, un avantage des quartiers centraux de Montréal ? Analyse de l’accessibilité du réseau du point de vue des parents accompagnés de jeunes enfants","year":2015,"lang":"fr","type":"book-chapter","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Sociology","score_opus":0.0292311291481108,"score_gpt":0.29327061373429536,"score_spread":0.26403948458618454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399831924","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94342995,0.0041156085,0.005916836,0.0007034649,0.00031832326,0.0008761107,0.00027550786,0.0003737574,0.043990463],"genre_scores_gemma":[0.9818085,0.006129772,0.0075882585,0.00033278172,0.0005333422,0.00007111683,0.00020405724,0.00018353033,0.0031486377],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9905547,0.002095341,0.0019260478,0.0014156443,0.0011843747,0.0028239253],"domain_scores_gemma":[0.99435025,0.0011181447,0.0006989551,0.0011578806,0.0005037627,0.0021710005],"candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts"],"category_scores_codex":[0.00741576,0.0014648982,0.0017845191,0.00032042727,0.0017367171,0.0003464488,0.0028357117,0.0017108805,0.0035024488],"category_scores_gemma":[0.00030541501,0.0013815846,0.0011409961,0.00042848496,0.0038761946,0.0016373924,0.00017127515,0.0016094858,0.00006122787],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045961983,0.0008187618,0.88937724,0.000410516,0.0006685606,0.000663247,0.08906705,0.00023329094,0.00023147932,0.0056430427,0.00012537077,0.0123018],"study_design_scores_gemma":[0.0017263042,0.00016102334,0.85509807,0.00062256603,0.0015839804,0.000054577453,0.041695528,0.0012819405,0.00074840256,0.09245813,0.0029063579,0.0016631249],"about_ca_topic_score_codex":0.23709998,"about_ca_topic_score_gemma":0.44096532,"teacher_disagreement_score":0.20386533,"about_ca_system_score_codex":0.0038725976,"about_ca_system_score_gemma":0.0025999083,"threshold_uncertainty_score":0.99995136},"labels":[],"label_agreement":null},{"id":"W4399913326","doi":"10.1016/j.trip.2024.101143","title":"Influence of public transport training for people with disabilities: Protocol for a systematic review","year":2024,"lang":"en","type":"review","venue":"Transportation Research Interdisciplinary Perspectives","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre intégré universitaire de santé et de services sociaux de la Capitale-Nationale; Université Laval; Centre for Interdisciplinary Research in Rehabilitation","funders":"","keywords":"Protocol (science); Training (meteorology); Psychology; Public transport; Applied psychology; Medical education; Physical medicine and rehabilitation; Medicine; Alternative medicine; Engineering; Transport engineering; Geography","score_opus":0.23370249660501877,"score_gpt":0.5391778001086314,"score_spread":0.3054753035036126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399913326","genre_codex":"review","genre_gemma":"protocol","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"protocol","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00017099643,0.59761465,0.00057625386,0.0005540178,0.000028050235,0.39916617,0.001313447,0.00014836215,0.00042807977],"genre_scores_gemma":[0.0022119558,0.3312178,0.00023017346,0.0000038392177,0.00012270418,0.6649513,0.00026791845,0.000102346516,0.0008919135],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.99373275,0.00069485186,0.0020223442,0.0012268171,0.0013545791,0.0009686376],"domain_scores_gemma":[0.9944059,0.002150845,0.00060722925,0.00065219915,0.0018843167,0.00029945633],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0058250353,0.00059862185,0.003373098,0.0005976979,0.00080435,0.00011777633,0.0011509986,0.0003152157,0.00011751223],"category_scores_gemma":[0.00059470604,0.00040621884,0.0014043349,0.0019643563,0.0015843746,0.0007784393,0.00001973982,0.0006219291,0.000005239475],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010521544,0.00025730632,0.0000689099,0.878059,0.0003847518,0.000003522266,0.1135191,0.000002141284,8.390779e-8,0.0065285894,0.0001447139,0.00092662027],"study_design_scores_gemma":[0.0004887864,0.0007398199,0.00012311099,0.81791,0.002436339,9.1348375e-7,0.14321513,0.0000032938058,2.2046197e-7,0.002754467,0.031728536,0.0005993789],"about_ca_topic_score_codex":0.00017684668,"about_ca_topic_score_gemma":0.011292855,"teacher_disagreement_score":0.26639682,"about_ca_system_score_codex":0.00055006065,"about_ca_system_score_gemma":0.003162916,"threshold_uncertainty_score":0.99983895},"labels":[],"label_agreement":null},{"id":"W4399973010","doi":"10.3390/su16135338","title":"A Sustainable mHealth Intervention to Promote Physical Activity for Healthy Aging: A Pilot Study of the “Every Walk You Take” Citizen Science Initiative","year":2024,"lang":"en","type":"article","venue":"Sustainability","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lawson Health Research Institute; Western University","funders":"European Commission","keywords":"mHealth; Citizen science; Intervention (counseling); Sustainable living; Test (biology); Promotion (chess); Active living; Health promotion; Psychology; Quality of life (healthcare); Gerontology; Medicine; Sustainability; Public health; Nursing; Political science; Psychological intervention; Ecology","score_opus":0.04787744900632231,"score_gpt":0.4030298821950965,"score_spread":0.3551524331887742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399973010","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9859143,0.000038355804,0.00069228886,0.006082804,0.00029256407,0.0065386845,0.000022963675,0.00012689336,0.0002911801],"genre_scores_gemma":[0.998564,6.9637963e-7,0.000027908376,0.000053013016,0.00015322107,0.000414019,9.625526e-7,0.000014419977,0.0007717816],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9964669,0.000661829,0.00035892896,0.0008353286,0.0007887433,0.0008883114],"domain_scores_gemma":[0.9968048,0.00031481084,0.00015061953,0.00055722916,0.0019391429,0.00023343848],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0068701035,0.00018635414,0.00034060676,0.00016931306,0.0015737292,0.00023065595,0.00072855595,0.000041070052,0.000011377945],"category_scores_gemma":[0.0031314252,0.00014233594,0.00017790528,0.0024962074,0.0010956008,0.001067399,0.00022586624,0.00035313374,8.193658e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0028449926,0.026430273,0.3356413,0.010106962,0.00012533912,0.000027890052,0.48363817,0.00007927038,0.00025503035,0.08369273,0.00031822236,0.05683981],"study_design_scores_gemma":[0.000848525,0.004773731,0.7493626,0.00009175159,0.000085528925,1.3356711e-7,0.1357109,0.00030478253,0.00049997494,0.106757544,0.0012760732,0.00028849754],"about_ca_topic_score_codex":0.030137403,"about_ca_topic_score_gemma":0.007110021,"teacher_disagreement_score":0.41372126,"about_ca_system_score_codex":0.002999983,"about_ca_system_score_gemma":0.004937747,"threshold_uncertainty_score":0.99972606},"labels":[],"label_agreement":null},{"id":"W4399973199","doi":"10.3390/ijgi13070218","title":"The Influence of Origin Attributes on the Destination Choice of Discretionary Home-Based Walk Trips","year":2024,"lang":"en","type":"article","venue":"ISPRS International Journal of Geo-Information","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"TRIPS architecture; Business; Advertising; Transport engineering; Engineering","score_opus":0.020045371508874414,"score_gpt":0.3200787052664743,"score_spread":0.3000333337575999,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399973199","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98499125,0.000111424204,0.0028707695,0.009876101,0.000894206,0.00015557914,0.000067645386,0.000014137343,0.0010189035],"genre_scores_gemma":[0.9994264,0.00007953846,0.00009281039,0.0001499619,0.00016961958,0.0000043466625,0.000025374713,0.000002545234,0.000049400427],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978653,0.00009743196,0.00073274114,0.000049010956,0.0011478183,0.00010767405],"domain_scores_gemma":[0.99676263,0.0011670805,0.000645284,0.00009415447,0.0012943022,0.000036535657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017469054,0.0000772116,0.00010776743,0.00019139033,0.00021190019,0.0001733843,0.0006280369,0.00005300365,0.00006475733],"category_scores_gemma":[0.0010328748,0.000044703702,0.00013808253,0.00030940847,0.0002550058,0.0022401724,0.000014886983,0.00020580948,0.000009846342],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016438119,0.00040068437,0.4101447,0.00030099534,0.0006364548,0.00001412619,0.018344622,0.032004613,0.0014894983,0.38931334,0.008321552,0.13738559],"study_design_scores_gemma":[0.0006417949,0.00017586528,0.901918,0.00060963165,0.00005674894,0.0000034954382,0.0012784341,0.0029171738,0.0017363607,0.011267054,0.0792494,0.00014606937],"about_ca_topic_score_codex":0.00026628436,"about_ca_topic_score_gemma":0.0000632691,"teacher_disagreement_score":0.49177328,"about_ca_system_score_codex":0.00015836934,"about_ca_system_score_gemma":0.00040923103,"threshold_uncertainty_score":0.18229641},"labels":[],"label_agreement":null},{"id":"W4399979170","doi":"10.1177/03611981241253578","title":"Car Ownership, Commute Distance, and Commute Mode Choice in the Dense Megacity of a Developing Country: The Direct and Indirect Role of the Built Environment","year":2024,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Megacity; Mode choice; Developing country; Mode (computer interface); Car ownership; Business; Economic geography; Transport engineering; Economics; Public transport; Engineering; Economic growth; Computer science; Economy","score_opus":0.07364367047483511,"score_gpt":0.3825545573656698,"score_spread":0.3089108868908347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399979170","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98898536,0.0024929512,0.00015357081,0.0067935595,0.0001290354,0.0010390597,0.00014205668,0.0000091512375,0.00025525026],"genre_scores_gemma":[0.99643415,0.0031138423,0.0001495785,0.00004085171,0.0000643477,0.0000463531,0.0000070501073,0.000019191388,0.00012462748],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9923778,0.0027736882,0.0010045677,0.00029385884,0.0030132798,0.0005368052],"domain_scores_gemma":[0.995519,0.0030498554,0.00032623846,0.00046097327,0.00051747763,0.00012648143],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009895143,0.0001832466,0.000394581,0.00028796945,0.0009874376,0.00016679388,0.0013965843,0.00013602113,0.000036579066],"category_scores_gemma":[0.00020222267,0.00009256731,0.00020200989,0.0018357018,0.002599663,0.0004969831,0.000014427497,0.0017124376,4.775929e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038217503,0.00011338849,0.94177055,0.0003401549,0.000121076395,0.000015532753,0.04810443,0.00020860275,0.0009125143,0.0043901014,0.00021703159,0.003424447],"study_design_scores_gemma":[0.000429413,0.000087128064,0.964245,0.0005085693,0.00007358355,2.0487323e-7,0.010169546,0.00013671255,0.0008430253,0.0052802316,0.018118786,0.000107790205],"about_ca_topic_score_codex":0.07379649,"about_ca_topic_score_gemma":0.5192815,"teacher_disagreement_score":0.44548503,"about_ca_system_score_codex":0.00017824808,"about_ca_system_score_gemma":0.0007135602,"threshold_uncertainty_score":0.95785666},"labels":[],"label_agreement":null},{"id":"W4399998345","doi":"10.1123/jpah.2023-0429","title":"Measuring Active Transportation on National Health Surveys in Canada From 1994 to 2020","year":2024,"lang":"en","type":"article","venue":"Journal of Physical Activity and Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Ottawa; Public Health Agency of Canada","funders":"","keywords":"Comparability; Context (archaeology); Demography; Cycling; Population health; Population; Geography; National Health Interview Survey; Environmental health; Gerontology; Medicine","score_opus":0.07826977305440153,"score_gpt":0.3655246401625931,"score_spread":0.2872548671081916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399998345","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9820526,0.000098094366,0.000244619,0.01704345,0.00018833797,0.000115714334,0.00012237357,0.000005420116,0.00012937367],"genre_scores_gemma":[0.99910516,0.000050118582,0.000024639925,0.00035391832,0.00044890822,0.0000013096434,0.000004598596,0.0000041290696,0.0000072032412],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9984863,0.00034945188,0.00020712343,0.00015142377,0.00061633246,0.00018941154],"domain_scores_gemma":[0.99926436,0.00027417837,0.00012417947,0.000029015398,0.000044202705,0.0002640935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001563078,0.00007080424,0.00026114582,0.000057874167,0.00015499987,0.000032126183,0.00007158363,0.000020705962,0.000012818096],"category_scores_gemma":[0.000022495307,0.000061684084,0.000048866183,0.0002667164,0.000024538416,0.00034981634,0.0000020257928,0.00034972667,6.6168155e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032209168,0.0012005841,0.20247035,0.00030749655,0.00009761122,0.000056857698,0.0614138,0.00069195667,0.00033319282,0.0030247155,0.0019049109,0.7281764],"study_design_scores_gemma":[0.0001299548,0.00012701224,0.99646014,0.00015622663,0.0000021340372,6.9791945e-8,0.0005442253,0.0000842791,0.00008786241,0.0018646802,0.00048765173,0.00005575076],"about_ca_topic_score_codex":0.9405372,"about_ca_topic_score_gemma":0.99209696,"teacher_disagreement_score":0.7939898,"about_ca_system_score_codex":0.001362448,"about_ca_system_score_gemma":0.0065296465,"threshold_uncertainty_score":0.9991024},"labels":[],"label_agreement":null},{"id":"W4400037697","doi":"10.1080/03155986.2024.2369387","title":"Data-driven analysis of optimal repositioning policy in bike sharing systems","year":2024,"lang":"en","type":"article","venue":"INFOR Information Systems and Operational Research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bike sharing; Computer science; Transport engineering; Engineering","score_opus":0.12414254659775857,"score_gpt":0.4467029762103195,"score_spread":0.32256042961256093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400037697","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9564499,0.0010177796,0.0027994378,0.0005322742,0.00029611768,0.0009012875,0.00070646475,0.000063284446,0.037233453],"genre_scores_gemma":[0.9984858,0.00006699429,0.00006491865,0.000011506028,0.00015467557,0.000047064703,0.00070990523,0.0000028596346,0.00045629145],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977554,0.00010302156,0.00075272203,0.00016810438,0.0009890662,0.00023168405],"domain_scores_gemma":[0.9989249,0.00022616457,0.00007042111,0.00023796392,0.00045610475,0.00008442874],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.004577018,0.00006595778,0.00019415047,0.0015277438,0.00039433586,0.0015102783,0.00033234328,0.00008889084,0.000030885098],"category_scores_gemma":[0.0002890294,0.000058149897,0.00003603425,0.0025375034,0.00015496378,0.004553155,0.00010135382,0.00018676295,0.000013742172],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003658906,0.000026787167,0.24939749,0.000753662,0.00034654702,0.0000059649287,0.028840544,0.12549229,0.00003193636,0.5928097,0.00061640586,0.0016421018],"study_design_scores_gemma":[0.00014144085,0.000019900403,0.06262651,0.00025133693,0.000031494365,0.0000011638364,0.00993594,0.8834274,0.0000036725216,0.000029375413,0.043419298,0.00011249261],"about_ca_topic_score_codex":0.03497917,"about_ca_topic_score_gemma":0.0015339849,"teacher_disagreement_score":0.7579351,"about_ca_system_score_codex":0.00017913125,"about_ca_system_score_gemma":0.0006924888,"threshold_uncertainty_score":0.99952626},"labels":[],"label_agreement":null},{"id":"W4400129500","doi":"10.1080/23792949.2024.2364619","title":"Connecting through public transport: accessibility to health and education in major African cities","year":2024,"lang":"en","type":"article","venue":"Area Development and Policy","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Public transport; Public health; Economic growth; Business; Geography; Environmental planning; Regional science; Transport engineering; Medicine; Economics; Engineering; Nursing","score_opus":0.05335116684075563,"score_gpt":0.3638543309665323,"score_spread":0.31050316412577667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400129500","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96803516,0.0015955559,0.000059064587,0.015406563,0.00013247627,0.0002913368,0.0000065916684,0.00008141528,0.014391863],"genre_scores_gemma":[0.9972344,0.00012506534,0.00092205295,0.00087630964,0.00012613811,0.000029423016,0.000022117623,0.0000073711067,0.00065712456],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988661,0.00005321695,0.00028253382,0.00032140763,0.0001477876,0.0003289776],"domain_scores_gemma":[0.99957246,0.00006705883,0.000033659686,0.00007645151,0.000029352857,0.00022102745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006166239,0.00010763424,0.00015692176,0.00018328431,0.0003976139,0.00019341968,0.00010501206,0.00004939378,0.000048366393],"category_scores_gemma":[0.00006829508,0.00009929086,0.000017461458,0.0006936445,0.0000838957,0.00055076124,0.000019133122,0.00009078374,0.0000027134795],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008363563,0.000039381757,0.5279584,0.00012732258,0.000008128483,0.0000012416948,0.24154177,4.778284e-8,0.0000030142642,0.022937503,0.00012024179,0.20725457],"study_design_scores_gemma":[0.00015210928,0.000020473053,0.76549304,0.00017372206,0.000003971122,5.983464e-7,0.032570716,0.0000025701422,0.000049249556,0.021899609,0.17938627,0.00024769662],"about_ca_topic_score_codex":0.013843847,"about_ca_topic_score_gemma":0.059857707,"teacher_disagreement_score":0.2375346,"about_ca_system_score_codex":0.00019038368,"about_ca_system_score_gemma":0.0034172938,"threshold_uncertainty_score":0.99272305},"labels":[],"label_agreement":null},{"id":"W4400200314","doi":"10.1080/23249935.2024.2372025","title":"Jointly modelling activity start time, travel mode, companionship, and destination location choices","year":2024,"lang":"en","type":"article","venue":"Transportmetrica A Transport Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mode (computer interface); Mode choice; Interpersonal relationship; Travel time; Travel behavior; Computer science; Psychology; Transport engineering; Social psychology; Public transport; Engineering; Human–computer interaction","score_opus":0.04764251860152509,"score_gpt":0.3179977518595471,"score_spread":0.270355233258022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400200314","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82123685,0.0008292141,0.16879308,0.00058168295,0.0002808824,0.0006276896,0.00007546613,0.0004661575,0.007109007],"genre_scores_gemma":[0.9963107,0.00023257005,0.0025071297,0.000043825024,0.000104959356,0.0000324346,0.000042064934,0.000029339071,0.0006969541],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99581045,0.000071004884,0.0005593764,0.0011794512,0.0015639261,0.0008158099],"domain_scores_gemma":[0.99844545,0.0002402848,0.00010844135,0.0003393044,0.000358865,0.0005076561],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0025631422,0.0003290194,0.00040311163,0.001021324,0.0014220497,0.00031417876,0.0006341904,0.00017172967,0.00018414062],"category_scores_gemma":[0.000045596385,0.00032014676,0.0001404511,0.0076130107,0.0020064714,0.0031616862,0.000007022674,0.00043376102,0.000029033077],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00053537614,0.0021820301,0.6930235,0.0019473016,0.00019528247,0.00031134931,0.06969772,0.025174126,0.028252153,0.08402989,0.00012576474,0.09452548],"study_design_scores_gemma":[0.000477397,0.00011131928,0.87230706,0.00026858557,0.00023423418,0.0000031840354,0.0004470615,0.11610286,0.0024959242,0.0038665417,0.0027944262,0.0008914274],"about_ca_topic_score_codex":0.0041860505,"about_ca_topic_score_gemma":0.0014961859,"teacher_disagreement_score":0.17928351,"about_ca_system_score_codex":0.00023235894,"about_ca_system_score_gemma":0.0012081988,"threshold_uncertainty_score":0.9999251},"labels":[],"label_agreement":null},{"id":"W4400361611","doi":"10.1016/j.compenvurbsys.2024.102145","title":"The cost of climate change: A generalized cost function approach for incorporating extreme weather exposure into public transit accessibility","year":2024,"lang":"en","type":"article","venue":"Computers Environment and Urban Systems","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University","funders":"","keywords":"Extreme weather; Climate change; Transit (satellite); Function (biology); Environmental science; Public transport; Meteorology; Climatology; Computer science; Transport engineering; Geography; Engineering; Geology; Oceanography","score_opus":0.06446744275288192,"score_gpt":0.26605417272347837,"score_spread":0.20158672997059646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400361611","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4781014,0.032859474,0.47333696,0.0012104729,0.0029780266,0.008744784,0.00011281024,0.00031196282,0.0023441005],"genre_scores_gemma":[0.9975892,0.0003720236,0.00061165635,0.000025064126,0.00059274875,0.00051370676,0.000056085668,0.00001918092,0.00022033375],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982018,0.0002326613,0.00045722845,0.0004692312,0.0003148355,0.0003242475],"domain_scores_gemma":[0.99929005,0.00014572013,0.00016158438,0.00025905523,0.00002496407,0.000118643984],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001604532,0.00018085848,0.00027503874,0.000051340077,0.00072611356,0.00042540935,0.00025978682,0.000120442885,0.000009287884],"category_scores_gemma":[0.0000065720074,0.00012971205,0.00012398326,0.00016005582,0.00038929045,0.00046783645,0.00004169182,0.000106290834,0.0000012990063],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024231285,0.00030193015,0.61337394,0.0013902596,0.0003297841,0.0000032700932,0.024215542,0.00017039278,0.00054669194,0.018061597,0.00091088266,0.34045342],"study_design_scores_gemma":[0.00496354,0.00075319957,0.23723525,0.00067181553,0.00082342664,0.0000031864156,0.01655134,0.25133482,0.00008802148,0.0029299643,0.48262864,0.0020168074],"about_ca_topic_score_codex":0.00017940601,"about_ca_topic_score_gemma":0.000090124246,"teacher_disagreement_score":0.5194878,"about_ca_system_score_codex":0.00011537251,"about_ca_system_score_gemma":0.000036836904,"threshold_uncertainty_score":0.5584752},"labels":[],"label_agreement":null},{"id":"W4400401960","doi":"10.1016/j.jeph.2024.202615","title":"12-6 - Inégalités dans l'accumulation des comportements malsains liées à l'exposition à la défavorisation du quartier au Québec : une analyse de données couplées, Québec, Canada","year":2024,"lang":"fr","type":"article","venue":"Journal of Epidemiology and Population Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval; Institut universitaire de cardiologie et de pneumologie de Québec","funders":"","keywords":"Humanities; Art","score_opus":0.0974824027644533,"score_gpt":0.39248436738193765,"score_spread":0.29500196461748435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400401960","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88718235,0.021091815,0.0066346047,0.083739676,0.001055111,0.00016945077,0.000030788466,0.000018680536,0.00007753388],"genre_scores_gemma":[0.99403363,0.0025958384,0.0006915839,0.0013305342,0.0009556923,0.000003339103,0.00010957463,0.000013694485,0.00026608037],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9942287,0.002820594,0.0019053337,0.00028101046,0.00027079493,0.00049355597],"domain_scores_gemma":[0.9963392,0.0017729889,0.0011897313,0.00011748889,0.00016202332,0.0004185375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009088149,0.00021172085,0.00065138546,0.0001613447,0.0009839612,0.000040302875,0.0001218016,0.0002653406,0.00009474686],"category_scores_gemma":[0.0006677838,0.00019121882,0.00015746972,0.0003255611,0.00045776347,0.0008387763,0.000010271807,0.00043805555,0.0000012822085],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.00007614439,0.0000826157,0.96043396,0.0003584767,0.0001189927,0.000016183994,0.01709772,0.0029558593,0.0000061851365,0.0035653745,0.0025660784,0.012722396],"study_design_scores_gemma":[0.00023023844,0.00016888624,0.959367,0.00042843696,0.00016888988,0.000019994053,0.0019545683,0.008076751,0.0000017698076,0.0063948114,0.02304104,0.0001476083],"about_ca_topic_score_codex":0.9983816,"about_ca_topic_score_gemma":0.9995053,"teacher_disagreement_score":0.106851324,"about_ca_system_score_codex":0.0038783653,"about_ca_system_score_gemma":0.009021999,"threshold_uncertainty_score":0.9999456},"labels":[],"label_agreement":null},{"id":"W4400423912","doi":"10.1080/07053436.2024.2368680","title":"Les activités de plein air encadrées au Canada : une proposition de définition","year":2024,"lang":"fr","type":"article","venue":"Loisir et Société / Society and Leisure","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Air Canada; Université du Québec à Chicoutimi; Laurentian University","funders":"","keywords":"Humanities; Philosophy","score_opus":0.024381007375173964,"score_gpt":0.322089320965278,"score_spread":0.297708313590104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400423912","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94144464,0.008804496,0.0011434607,0.040122736,0.0010647796,0.0003146791,0.00023390644,0.0001506784,0.0067206374],"genre_scores_gemma":[0.99234253,0.0015863099,0.00036028508,0.0008552478,0.0012257746,0.000034072735,0.00009184418,0.000034001674,0.0034699463],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99757123,0.00037942102,0.00030383386,0.00053282233,0.00046473334,0.00074797316],"domain_scores_gemma":[0.9989848,0.00043407842,0.00009664874,0.00014678799,0.00007748885,0.00026015253],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001165742,0.00030833064,0.00033209022,0.000016773512,0.0011531188,0.00018297769,0.0001927969,0.0006232751,0.00036889495],"category_scores_gemma":[0.000026985423,0.00031328076,0.0003471935,0.00053607335,0.0007749871,0.0007691883,0.000033091586,0.000883787,0.0000048669776],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009605314,0.0007042061,0.23995551,0.005191298,0.0010497741,0.00018716822,0.2646362,0.00034895047,0.002160377,0.2522648,0.020523975,0.2128817],"study_design_scores_gemma":[0.00081746775,0.00016691533,0.5036983,0.0012314391,0.00071245246,0.000012529312,0.06764843,0.0015455679,0.0018107923,0.02782281,0.3933173,0.0012159881],"about_ca_topic_score_codex":0.8511946,"about_ca_topic_score_gemma":0.8716137,"teacher_disagreement_score":0.37279335,"about_ca_system_score_codex":0.0017190842,"about_ca_system_score_gemma":0.005000414,"threshold_uncertainty_score":0.99993193},"labels":[],"label_agreement":null},{"id":"W4400450088","doi":"10.32866/001c.120803","title":"Human Mobility Patterns during the 2024 Total Solar Eclipse in Canada","year":2024,"lang":"en","type":"article","venue":"Findings","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University","funders":"","keywords":"Solar eclipse; Eclipse; Environmental science; Geography; Astronomy; Physics","score_opus":0.01315932628971612,"score_gpt":0.26804994862203585,"score_spread":0.25489062233231974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400450088","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99466205,0.00008864382,0.000001149415,0.0006790649,0.0007886641,0.00016568879,0.00004391064,0.00003480005,0.0035360255],"genre_scores_gemma":[0.9950452,0.0000036171834,0.0000012292061,0.00003788308,0.0003841525,0.0000139254835,0.0000036288363,0.0000066624207,0.004503718],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998922,0.00004753542,0.00018472286,0.00025618443,0.00027930594,0.00031028074],"domain_scores_gemma":[0.9997164,0.000045621786,0.000015960035,0.0001493896,0.000012048686,0.00006060636],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004968464,0.000081703925,0.00009644373,0.000032258202,0.00038933087,0.0001280061,0.0002441865,0.000043941614,0.0020642783],"category_scores_gemma":[0.00002187952,0.00006210991,0.00005234883,0.00026864398,0.0000792265,0.00020915171,0.00003023212,0.0002776903,0.000015611044],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000015794516,0.000012163331,0.9931416,0.000054196957,0.0000054561006,0.000033986253,0.0054173437,0.000002950179,0.00006195071,0.00024157182,0.0008137782,0.00021342802],"study_design_scores_gemma":[0.000048746802,0.00000290221,0.9936447,0.000042067997,0.0000054089446,2.4416514e-7,0.0020768957,0.000014189333,0.000110351364,0.00043679686,0.003528287,0.00008938501],"about_ca_topic_score_codex":0.9536351,"about_ca_topic_score_gemma":0.9949246,"teacher_disagreement_score":0.041289482,"about_ca_system_score_codex":0.00060939114,"about_ca_system_score_gemma":0.00044301723,"threshold_uncertainty_score":0.99884796},"labels":[],"label_agreement":null},{"id":"W4400517977","doi":"10.1016/j.compenvurbsys.2024.102150","title":"Evaluating accessibility benefits and ridership of bike-transit integration through a social equity lens","year":2024,"lang":"en","type":"article","venue":"Computers Environment and Urban Systems","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Equity (law); Transit (satellite); Business; Transport engineering; Through-the-lens metering; Social equality; Lens (geology); Public transport; Economics; Engineering; Political science","score_opus":0.1407305530475338,"score_gpt":0.3600289087708486,"score_spread":0.2192983557233148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400517977","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9820189,0.008840897,0.006372741,0.0003434319,0.0005085658,0.00046193073,0.00002412804,0.00007304931,0.0013563635],"genre_scores_gemma":[0.9989884,0.00025785257,0.00022103115,0.000018339853,0.00034751996,0.000012944994,0.0000133433305,0.000010099743,0.00013049519],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998254,0.00021974301,0.0003928559,0.00046249104,0.00042908426,0.00024182432],"domain_scores_gemma":[0.9995285,0.00015136375,0.00010370471,0.00013334483,0.000018116472,0.000064919586],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012631122,0.00015790078,0.00027924648,0.00004434697,0.0003766014,0.00023767474,0.00015648856,0.00012570551,0.00003584148],"category_scores_gemma":[0.000011917942,0.0001407601,0.00007662632,0.00012446436,0.0004555597,0.0006231314,0.0000664219,0.00013615885,0.0000021401374],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010518737,0.00024336649,0.5605156,0.0018243091,0.0002200809,0.000007557449,0.1482679,0.00022608426,0.0020249453,0.034341708,0.0011829268,0.25104037],"study_design_scores_gemma":[0.0015455752,0.0005299268,0.9413681,0.0015698016,0.00049525197,0.0000022313698,0.011167399,0.025818406,0.0006028676,0.004936435,0.010735403,0.0012285953],"about_ca_topic_score_codex":0.0008336945,"about_ca_topic_score_gemma":0.00012570902,"teacher_disagreement_score":0.38085252,"about_ca_system_score_codex":0.00010294469,"about_ca_system_score_gemma":0.00004633071,"threshold_uncertainty_score":0.574003},"labels":[],"label_agreement":null},{"id":"W4400526235","doi":"10.24124/2020/59532","title":"Transportation solutions for small northern communities: Cycle commuters’ satisfaction with the built and social cycling environments","year":2020,"lang":"en","type":"dissertation","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cycling; Transport engineering; Geography; Engineering; Archaeology","score_opus":0.04278831116758331,"score_gpt":0.28433686907206845,"score_spread":0.24154855790448515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400526235","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9918516,0.00009585857,0.003370745,0.0019680643,0.0001378914,0.00089233735,0.00012884325,0.00006924752,0.0014853739],"genre_scores_gemma":[0.9959423,0.00008169172,0.00019439337,0.00015714605,0.00013582593,0.00013330151,0.0025336205,0.00002726607,0.000794488],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99893045,0.00010318659,0.00024087628,0.00019912656,0.0002531042,0.0002732511],"domain_scores_gemma":[0.99940944,0.00015722337,0.00020951533,0.00012541219,0.000045964607,0.00005245879],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00027334754,0.0001866815,0.00021757947,0.0000305891,0.0029706135,0.00011432711,0.00021690107,0.00020135805,0.000060184884],"category_scores_gemma":[0.000003832423,0.00014555892,0.00009916504,0.000086114844,0.00028128375,0.00020257881,0.0000038753797,0.00029174314,0.0000021775352],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046770083,0.0001317826,0.32739088,0.0004127217,0.00029909794,0.0000012631059,0.6484964,0.00006291686,0.00016551686,0.0030764346,0.00019180682,0.019303503],"study_design_scores_gemma":[0.0006206137,0.00006890967,0.709499,0.000044150685,0.00038183757,4.4505935e-8,0.27913728,0.00009982853,0.000027049158,0.00096487266,0.008785585,0.0003708223],"about_ca_topic_score_codex":0.0338702,"about_ca_topic_score_gemma":0.91301304,"teacher_disagreement_score":0.8791429,"about_ca_system_score_codex":0.00007313041,"about_ca_system_score_gemma":0.00011030663,"threshold_uncertainty_score":0.9983274},"labels":[],"label_agreement":null},{"id":"W4400573940","doi":"10.15760/etd.3737","title":"A Survey of North American Electric Bicycle Owners","year":2024,"lang":"en","type":"dissertation","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geography; Transport engineering; Engineering","score_opus":0.021077766465896153,"score_gpt":0.3286995369055768,"score_spread":0.30762177043968064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400573940","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9412147,0.00023933373,0.000002468469,0.000025382891,0.000331352,0.00015673769,0.000029724886,0.00007578284,0.057924543],"genre_scores_gemma":[0.96926725,0.0000874827,0.000013508385,0.000014231309,0.000056802397,0.000007534562,0.00071610376,0.000015395035,0.029821694],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987389,0.00010016347,0.00027351966,0.0002861152,0.0003737637,0.00022754792],"domain_scores_gemma":[0.9993506,0.000089364556,0.00016817689,0.00014208001,0.00017537149,0.000074370095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041703746,0.00012539997,0.00029067558,0.00015602754,0.00009184261,0.000038302773,0.00028148398,0.000069951995,0.00021849725],"category_scores_gemma":[0.00009647105,0.000101459686,0.000106600164,0.002137216,0.00010679502,0.00007125912,0.0000034900495,0.00018965066,0.000036588943],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024341658,0.00004032472,0.96901834,0.00006850021,0.00003544287,0.0000015093484,0.0030461305,2.587247e-7,0.0000076001547,0.000046871162,0.00081224216,0.02689841],"study_design_scores_gemma":[0.000019819408,0.000020798045,0.9982426,0.0000106463385,0.00003919235,3.2390457e-9,0.0008260897,0.0000058444907,0.000064105625,0.000052147043,0.00058706215,0.0001316632],"about_ca_topic_score_codex":0.31227395,"about_ca_topic_score_gemma":0.925609,"teacher_disagreement_score":0.613335,"about_ca_system_score_codex":0.000050721625,"about_ca_system_score_gemma":0.0006279705,"threshold_uncertainty_score":0.6923057},"labels":[],"label_agreement":null},{"id":"W4400588897","doi":"10.1038/s41415-024-7635-x","title":"Rising incidence of e-scooter-related dental injuries: a study from Birmingham's major trauma centre","year":2024,"lang":"en","type":"letter","venue":"BDJ","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nature Conservancy of Canada","funders":"","keywords":"Incidence (geometry); Medicine; Dentistry; Medical emergency; Emergency medicine","score_opus":0.018054696474376308,"score_gpt":0.3002906882968409,"score_spread":0.2822359918224646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400588897","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95912564,0.00071575027,0.0000049234677,0.034319147,0.0014975164,0.0007608935,0.0003077674,0.00018375296,0.0030846067],"genre_scores_gemma":[0.98395324,0.000008561459,0.00007882879,0.0071152165,0.0016242429,0.00001272397,0.0001568952,0.000049455473,0.007000825],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9968029,0.00026766196,0.00072636333,0.0007528097,0.000974329,0.00047588264],"domain_scores_gemma":[0.9988508,0.00022408976,0.0003111336,0.0004389056,0.00009096925,0.00008405374],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00047908397,0.00032960536,0.0005780834,0.00016880354,0.00026715983,0.00021197017,0.00082080095,0.0007017227,0.0014133285],"category_scores_gemma":[0.00007910291,0.00030572183,0.00027389248,0.0005603176,0.00043319422,0.0003105265,0.00010050175,0.0012862949,0.0001159105],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000432247,0.0004242419,0.5976312,0.00023567122,0.00043039393,0.0010568438,0.09215978,4.294128e-7,0.000045890407,0.000012423145,0.30549523,0.0024646618],"study_design_scores_gemma":[0.0018265783,0.00033378447,0.2360126,0.0027083477,0.002381526,0.0000014049945,0.045988914,0.000022270793,0.0005060179,0.0092948405,0.69858295,0.0023407536],"about_ca_topic_score_codex":0.037900046,"about_ca_topic_score_gemma":0.021197962,"teacher_disagreement_score":0.39308774,"about_ca_system_score_codex":0.00017984415,"about_ca_system_score_gemma":0.000261775,"threshold_uncertainty_score":0.9999395},"labels":[],"label_agreement":null},{"id":"W4400630723","doi":"10.1787/9789264268203-graph45-en","title":"Urban greenhouse gas emissions are lower than in a number of cities in Australia, Canada and the United States","year":2017,"lang":"en","type":"other","venue":"OECD Environmental Performance Reviews","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Environmental science; Geography; Environmental protection; Geology","score_opus":0.023727389988058463,"score_gpt":0.278641288014832,"score_spread":0.25491389802677356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400630723","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96906203,0.00608958,1.2487718e-7,0.000078675475,0.00011225857,0.0007417681,0.00011733324,0.00000793844,0.023790263],"genre_scores_gemma":[0.6083473,0.14372984,0.000014185558,0.000058303813,0.000077851124,0.00005608436,0.000080435224,0.000053141146,0.24758284],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986643,0.00015636448,0.00037467747,0.00024468167,0.00027093542,0.00028904353],"domain_scores_gemma":[0.99904895,0.000031241307,0.00045509025,0.00038191478,0.0000015542973,0.000081252634],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00051939423,0.00022815469,0.00057051185,0.00006150274,0.00013754945,0.000021158663,0.00038372393,0.00013421917,0.0026035178],"category_scores_gemma":[0.000011663541,0.0001532355,0.00006935954,0.00007137343,0.0010018237,0.00011621204,0.00004805852,0.00026822407,0.000019196566],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001721081,0.000044237426,0.97473425,0.0002222533,0.000007823015,0.000005160267,0.0012359796,0.0000010598792,5.079465e-7,0.0000031597122,0.021786269,0.0019421034],"study_design_scores_gemma":[0.00036665922,0.0000063301013,0.20190045,0.0009561198,0.000020115225,2.7015665e-7,0.00037856042,0.0000078202165,0.0000018276884,0.000014276087,0.7961643,0.0001832731],"about_ca_topic_score_codex":0.85936403,"about_ca_topic_score_gemma":0.9651843,"teacher_disagreement_score":0.774378,"about_ca_system_score_codex":0.00017216896,"about_ca_system_score_gemma":0.00006973348,"threshold_uncertainty_score":0.99830824},"labels":[],"label_agreement":null},{"id":"W4400645003","doi":"10.3390/su16145992","title":"Analyzing the Impact of Montreal’s Réseau Express Vélo (REV) on Surrounding Bike Lanes’ Ridership and the COVID-19 Cycling Recovery","year":2024,"lang":"en","type":"article","venue":"Sustainability","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Cycling; Coronavirus disease 2019 (COVID-19); Transport engineering; SAFER; Bike sharing; Pandemic; Environmental science; Geography; Engineering; Computer science; Forestry; Computer security; Medicine","score_opus":0.03056691265890695,"score_gpt":0.3664162830795416,"score_spread":0.3358493704206347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400645003","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98532504,0.0020724589,0.0003392292,0.008614121,0.0001873818,0.00078507257,0.000024805042,0.000105479936,0.0025464385],"genre_scores_gemma":[0.9991482,0.00013384473,0.000005308299,0.000061086845,0.00018776653,0.000027835225,0.0000049375294,0.000011382194,0.00041962418],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970519,0.0013039308,0.00038882566,0.00045987952,0.00033336636,0.0004621226],"domain_scores_gemma":[0.99427587,0.004731352,0.00011998111,0.00050196936,0.00019396647,0.00017688246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0087019745,0.00018153524,0.00032182978,0.000093272676,0.0010236641,0.00029648753,0.00041640084,0.000109576664,0.00011653854],"category_scores_gemma":[0.0056440798,0.00009597733,0.00034910062,0.00064811,0.0014986639,0.0003745986,0.00005424707,0.0004103173,0.0000011010032],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006110461,0.00008678262,0.9411211,0.00059323997,0.00011763778,0.000016482185,0.03859859,0.000857675,0.000010621446,0.0111408,0.0006799929,0.006166037],"study_design_scores_gemma":[0.00086732185,0.00012392554,0.51202005,0.00008599932,0.00016958239,8.2553476e-7,0.042532813,0.00070845,0.00002732381,0.44102493,0.0020803513,0.0003584624],"about_ca_topic_score_codex":0.14719264,"about_ca_topic_score_gemma":0.009483986,"teacher_disagreement_score":0.4298841,"about_ca_system_score_codex":0.0012511505,"about_ca_system_score_gemma":0.001422541,"threshold_uncertainty_score":0.8584863},"labels":[],"label_agreement":null},{"id":"W4401130496","doi":"10.1136/archdischild-2024-rcpch.654","title":"6609 Penny-wise and pound-foolish? Car park tax &amp; morale","year":2024,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Salary; Work (physics); Psychology; Quarter (Canadian coin); Medicine; Medical education; Family medicine; Engineering; Political science","score_opus":0.03183308058746165,"score_gpt":0.31706206913317264,"score_spread":0.285228988545711,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401130496","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87315047,0.0013585212,0.00010747676,0.0019440937,0.00042470044,0.00015063836,0.00002132515,0.00022226284,0.12262054],"genre_scores_gemma":[0.9325869,0.00011485991,0.0002860848,0.00011721144,0.00028586155,0.000007323309,0.000008935569,0.000008011028,0.0665848],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990168,0.000042315405,0.0001440767,0.00030248286,0.00022819165,0.00026611972],"domain_scores_gemma":[0.9995823,0.0000620564,0.00001592543,0.00015175769,0.000035306002,0.00015268706],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00038098617,0.000092260365,0.0001211909,0.00003662876,0.00027393462,0.0003503255,0.00015972383,0.00007958742,0.0027116337],"category_scores_gemma":[0.000032106043,0.00007576341,0.000060144812,0.00025706855,0.00031674624,0.00046097746,0.000021438796,0.0001151282,0.00013637214],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024268873,0.000114734736,0.8137621,0.00017874142,0.00005923893,0.00005766098,0.025406353,0.0000020017378,0.0005124296,0.03606023,0.10079973,0.02302249],"study_design_scores_gemma":[0.00013508745,0.0000139393605,0.081960715,0.000029154253,0.000041512427,5.610896e-7,0.0017888345,0.00005050685,0.0000785537,0.015559797,0.90007335,0.00026797954],"about_ca_topic_score_codex":0.01027957,"about_ca_topic_score_gemma":0.036352098,"teacher_disagreement_score":0.7992736,"about_ca_system_score_codex":0.000035392644,"about_ca_system_score_gemma":0.000122668,"threshold_uncertainty_score":0.9982},"labels":[],"label_agreement":null},{"id":"W4401147916","doi":"10.2139/ssrn.4910148","title":"Perceptions Toward Pedestrians and Micromobility Devices in Off-Street Cycling Facilities and Multi-Use Paths in Metropolitan Vancouver, Canada","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Metropolitan area; Cycling; Perception; Geography; Advertising; Psychology; Business","score_opus":0.023919528991427907,"score_gpt":0.29227222533294334,"score_spread":0.26835269634151543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401147916","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98254496,0.015440995,0.00005546215,0.0004450023,0.0006871981,0.0003696507,0.00030113818,0.000025845673,0.00012974635],"genre_scores_gemma":[0.98754734,0.01099919,0.00013251179,0.000024442235,0.00015276499,0.000015949998,0.000013964954,0.000018552284,0.0010952766],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9960766,0.00036900674,0.0007014457,0.00064378325,0.00038926082,0.0018199125],"domain_scores_gemma":[0.99914354,0.00020683341,0.00017303649,0.00019691371,0.00008548119,0.00019418578],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0025536614,0.00032395782,0.0005145172,0.00025327783,0.00032955356,0.00030876364,0.00035158487,0.00030119726,0.00003407591],"category_scores_gemma":[0.00025003072,0.00031255712,0.00011453368,0.00025288144,0.00036652794,0.0003134209,0.00017479237,0.004249374,4.7872976e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.000023756445,0.000081506674,0.9858536,0.00017617017,0.000063048035,0.000030126055,0.008953673,0.000017590917,0.000013235406,0.0007834096,0.00003512123,0.00396877],"study_design_scores_gemma":[0.0009478953,0.00008312438,0.4517824,0.00058767217,0.00015658684,0.000009779151,0.44328573,0.00021411105,0.0000068316776,0.1004545,0.0015447168,0.0009266514],"about_ca_topic_score_codex":0.9656585,"about_ca_topic_score_gemma":0.999908,"teacher_disagreement_score":0.5340712,"about_ca_system_score_codex":0.006619736,"about_ca_system_score_gemma":0.01405578,"threshold_uncertainty_score":0.99993265},"labels":[],"label_agreement":null},{"id":"W4401168635","doi":"10.1101/2024.07.29.24311197","title":"Effectiveness of interventions for modal shift to walking and bike riding: a systematic review with meta-analysis","year":2024,"lang":"en","type":"review","venue":"medRxiv","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"PsycINFO; Psychological intervention; Meta-analysis; Cycling; Population; Physical therapy; Medicine; Systematic review; MEDLINE; Physical medicine and rehabilitation; Environmental health; Psychiatry","score_opus":0.16248163572206775,"score_gpt":0.43974408608148435,"score_spread":0.2772624503594166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401168635","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00008818917,0.9925991,0.0019354941,0.0000482892,0.000060406986,0.0050492715,0.000120662226,0.000034688874,0.000063872656],"genre_scores_gemma":[0.011956634,0.9852632,0.00014674121,0.0000082050165,0.000023598936,0.00232469,0.00002849905,0.000027630515,0.00022078904],"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","domain_scores_codex":[0.99683166,0.0011020679,0.0009780645,0.00053185323,0.0003480759,0.00020827354],"domain_scores_gemma":[0.99798393,0.00092327356,0.00046691095,0.00039757576,0.00011540977,0.000112871276],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0067918915,0.00029600706,0.0058584074,0.0003437877,0.00013584225,0.00008362972,0.00040541057,0.00010110197,0.00004591169],"category_scores_gemma":[0.0004002171,0.00016381248,0.004434512,0.0019238009,0.00010443379,0.00009644705,0.000040866078,0.00013611617,0.00000452078],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000018004039,0.000023731549,0.00009356756,0.95704305,0.041652147,0.0000021940118,0.00021690344,1.388805e-7,1.611657e-8,0.00054960087,0.0000027459575,0.00041412225],"study_design_scores_gemma":[0.000019766489,0.000026318157,0.000032832093,0.33752614,0.65944535,1.9823803e-7,0.000019181789,5.1554326e-7,1.7826147e-7,0.00013101065,0.0026501617,0.0001483714],"about_ca_topic_score_codex":0.00018145127,"about_ca_topic_score_gemma":0.0011820527,"teacher_disagreement_score":0.6195169,"about_ca_system_score_codex":0.000059985156,"about_ca_system_score_gemma":0.00013415563,"threshold_uncertainty_score":0.6680079},"labels":[],"label_agreement":null},{"id":"W4401172224","doi":"10.1155/2024/7967141","title":"Spatial Modeling of Travel Demand Accounting for Multicollinearity and Different Sampling Strategies: A Stop‐Level Case Study","year":2024,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Multicollinearity; Kriging; Sample (material); Computer science; Spatial analysis; Econometrics; Variables; Transport engineering; Sampling (signal processing); Statistics; Regression analysis; Engineering; Mathematics","score_opus":0.07071000386145945,"score_gpt":0.37039973817617183,"score_spread":0.29968973431471235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401172224","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7004293,0.0002628831,0.29868215,0.000030743555,0.00020938332,0.00033868576,0.00003335879,0.000009301723,0.0000041624376],"genre_scores_gemma":[0.9941596,0.000058330454,0.005566867,0.0000029926628,0.00018355307,0.00000741131,0.0000059930817,0.000011472729,0.0000037871648],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99862015,0.000033455304,0.0007118238,0.00017278605,0.000304925,0.00015684999],"domain_scores_gemma":[0.99913543,0.00019576894,0.00023950802,0.00005367948,0.00030290722,0.00007269811],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007134749,0.000114810595,0.00028602258,0.000108933564,0.00021308615,0.00009014447,0.000077122255,0.00006135051,0.0000059616336],"category_scores_gemma":[0.000037457154,0.00009722582,0.00011937226,0.00012582836,0.000057018366,0.00088051544,0.000001155757,0.00017222567,2.4914028e-8],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012382544,0.0013490957,0.2817433,0.0016208017,0.0004048517,0.0006485111,0.4118398,0.23475958,0.009246918,0.0011636791,9.540679e-7,0.055984247],"study_design_scores_gemma":[0.0044586104,0.0007659689,0.49032903,0.0007240067,0.00094293966,0.000019902036,0.43210813,0.06270456,0.0005091677,0.006961934,0.000024226247,0.00045152317],"about_ca_topic_score_codex":0.0012324346,"about_ca_topic_score_gemma":0.015154665,"teacher_disagreement_score":0.2937303,"about_ca_system_score_codex":0.000039684648,"about_ca_system_score_gemma":0.00018538853,"threshold_uncertainty_score":0.8456659},"labels":[],"label_agreement":null},{"id":"W4401186896","doi":"10.18280/ijei.070220","title":"A Bibliometric Analysis on Gated Community","year":2024,"lang":"en","type":"article","venue":"International Journal of Environmental Impacts","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Scopus; Bibliometrics; Discipline; Thematic analysis; Regional science; China; Library science; Sociology; Social network analysis; Political science; Data science; Social science; Qualitative research; MEDLINE; Social capital; Computer science","score_opus":0.03409147966271873,"score_gpt":0.3575810815428853,"score_spread":0.32348960188016657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401186896","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99372846,0.00052639586,0.0001335267,0.0006682403,0.00063768844,0.000035086112,0.00005315892,0.00001515306,0.0042022695],"genre_scores_gemma":[0.9989632,0.00033103576,0.000042771604,0.00016593476,0.00024759988,2.4207242e-7,0.000012375476,0.000005695417,0.00023117142],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984363,0.00016015353,0.0002964666,0.00007447224,0.0008976429,0.00013496877],"domain_scores_gemma":[0.9993609,0.00023154456,0.00012987241,0.00008619328,0.00003311813,0.00015836387],"candidate_categories":["bibliometrics","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010108523,0.000075673124,0.00013321775,0.019851273,0.00012219469,0.0002253648,0.00047654644,0.000047775502,0.0017267463],"category_scores_gemma":[0.0001198286,0.00006150085,0.00025814137,0.015652757,0.00014696762,0.0005712335,0.000023718609,0.0003449285,0.000049766124],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020160987,0.0013048247,0.9151389,0.0000093136305,0.00348556,0.0005221133,0.008134218,0.00028376706,0.0039427327,0.00034300733,0.0015084461,0.06512549],"study_design_scores_gemma":[0.00017015525,0.000097636956,0.9898528,0.00003639416,0.00017251268,0.000004307215,0.00061706756,0.000035339508,0.00048263345,0.0004547511,0.008003485,0.000072942494],"about_ca_topic_score_codex":0.0005444161,"about_ca_topic_score_gemma":0.00018855928,"teacher_disagreement_score":0.074713856,"about_ca_system_score_codex":0.0003934254,"about_ca_system_score_gemma":0.000062855164,"threshold_uncertainty_score":0.9991858},"labels":[],"label_agreement":null},{"id":"W4401236017","doi":"10.1016/j.jcmr.2024.100038","title":"Reshaping cyclist mobility: Understanding the impact of autonomous vehicles on urban bicycle users","year":2024,"lang":"en","type":"article","venue":"Journal of Cycling and Micromobility Research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Trinity College Dublin","keywords":"Negotiation; Public transport; Focus (optics); Population; Internet privacy; Computer security; Computer science; Transport engineering; Engineering; Political science; Sociology","score_opus":0.16516831135589105,"score_gpt":0.454956746866301,"score_spread":0.28978843551040995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401236017","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99300545,0.0033785778,0.000096977885,0.0013543754,0.0001975249,0.00027380665,0.000017236303,0.000024624464,0.0016514182],"genre_scores_gemma":[0.9992784,0.00023198166,0.000037239457,0.000013185093,0.00029349027,0.000002412887,8.6275304e-7,0.000013803331,0.00012860843],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969224,0.0008002576,0.00068876805,0.0003019684,0.0007962602,0.0004903627],"domain_scores_gemma":[0.99684685,0.0021835102,0.0001613426,0.0002918133,0.00030857636,0.00020788223],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014680713,0.00013511523,0.00033890904,0.00031499812,0.0008312977,0.0003713393,0.00047558066,0.00013382923,0.00006580717],"category_scores_gemma":[0.00073172664,0.00008494407,0.0003573668,0.0007285049,0.0019425976,0.0003848228,0.00005630179,0.0011060473,0.0000026415642],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011936276,0.0011636137,0.8469744,0.0007237179,0.0005926241,0.00012299906,0.07542747,0.00041114466,0.05115038,0.004011545,0.0031122956,0.015116213],"study_design_scores_gemma":[0.0016191378,0.0025493402,0.77675676,0.0031250238,0.000204162,0.00003471604,0.06895024,0.0016102686,0.010723419,0.12977473,0.0039175632,0.000734652],"about_ca_topic_score_codex":0.0033158415,"about_ca_topic_score_gemma":0.00044810402,"teacher_disagreement_score":0.1257632,"about_ca_system_score_codex":0.000747949,"about_ca_system_score_gemma":0.00095265714,"threshold_uncertainty_score":0.71575814},"labels":[],"label_agreement":null},{"id":"W4401253729","doi":"10.1080/09687599.2024.2385919","title":"15-minute cities, ‘walkability’ and last millimeter problems","year":2024,"lang":"en","type":"article","venue":"Disability & Society","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Walkability; Residence; Disabled people; Central city; Service (business); Architectural engineering; Built environment; Sociology; Gerontology; Transport engineering; Business; Psychology; Applied psychology; Regional science; Medicine; Civil engineering; Engineering; Marketing; Demography","score_opus":0.024760286655097576,"score_gpt":0.2869955692677764,"score_spread":0.26223528261267887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401253729","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9881027,0.002367306,0.00012288439,0.0033943255,0.00047346685,0.00055816903,0.000091894566,0.00040674862,0.004482534],"genre_scores_gemma":[0.997621,0.00019189058,0.00043228158,0.00022876772,0.00034477215,0.000054901808,0.000029526931,0.000019045807,0.001077824],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99771154,0.00015288878,0.00038403078,0.0007752683,0.00045605144,0.0005201962],"domain_scores_gemma":[0.99889314,0.00036811372,0.000036175756,0.00040449508,0.000073884505,0.00022419782],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0017092716,0.00021575288,0.00027355322,0.000010610754,0.00057812117,0.0003555419,0.00027240216,0.0002168953,0.0007108252],"category_scores_gemma":[0.00009931338,0.00018840584,0.00040264253,0.00045230446,0.0029246553,0.00060975185,0.00007215346,0.0003324447,0.000029415649],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006635148,0.00019014101,0.9194967,0.000605672,0.00007014683,0.0000012047013,0.06476845,8.971314e-7,0.00009645415,0.0013994183,0.004239889,0.009124361],"study_design_scores_gemma":[0.00032324158,0.00006148205,0.6983601,0.00012624869,0.00013317131,6.1401e-7,0.020317921,0.00024345578,0.00010461013,0.035635,0.24402592,0.0006682867],"about_ca_topic_score_codex":0.0028063091,"about_ca_topic_score_gemma":0.008750713,"teacher_disagreement_score":0.23978601,"about_ca_system_score_codex":0.00030075645,"about_ca_system_score_gemma":0.00020321901,"threshold_uncertainty_score":0.9997888},"labels":[],"label_agreement":null},{"id":"W4401419620","doi":"10.1038/s41597-024-03691-5","title":"Where should we go - Estimating travel times for modelling accessibility to 24-hour emergency departments in Canada","year":2024,"lang":"en","type":"article","venue":"Scientific Data","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University","funders":"Government of Ontario","keywords":"Census; Travel time; Population; Geography; Service (business); Transport engineering; Subdivision; Health care; Business; Computer science; Medicine; Environmental health; Marketing; Engineering; Economic growth","score_opus":0.15627696841106278,"score_gpt":0.38433990418241,"score_spread":0.2280629357713472,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401419620","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8232449,0.004727041,0.11235506,0.0058717798,0.027665054,0.0032616598,0.01731092,0.00028435513,0.005279228],"genre_scores_gemma":[0.98231465,0.000021377062,0.010343936,0.000028060162,0.00021970856,0.00004800001,0.00086207374,0.000019075544,0.006143127],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9968081,0.00006710821,0.00053169054,0.0012792457,0.00069735193,0.000616504],"domain_scores_gemma":[0.99850476,0.000102256796,0.000060150785,0.001014062,0.000082977655,0.00023578486],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027817015,0.00016242982,0.00021191116,0.00010814127,0.000670016,0.0005550106,0.0018392815,0.00006009063,0.0007062476],"category_scores_gemma":[0.00016818201,0.00015039208,0.000051649404,0.0010850723,0.000120474106,0.0013146878,0.00021138908,0.00015759023,0.000028244032],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006277297,0.0003160847,0.19689314,0.0015679364,0.000078046076,0.00004860724,0.014203442,0.00801559,0.00024305112,0.0013092235,0.72290117,0.05436095],"study_design_scores_gemma":[0.00029516866,0.000014481687,0.007599474,0.0003626922,0.000072783965,1.8006484e-7,0.0034978073,0.79493177,0.00017227561,0.013174318,0.17920858,0.0006704884],"about_ca_topic_score_codex":0.5897595,"about_ca_topic_score_gemma":0.9899219,"teacher_disagreement_score":0.78691614,"about_ca_system_score_codex":0.00049850176,"about_ca_system_score_gemma":0.0031678295,"threshold_uncertainty_score":0.7732915},"labels":[],"label_agreement":null},{"id":"W4401505146","doi":"10.21203/rs.3.rs-4760374/v1","title":"Understanding the effects of transportation and perceived built environment on community and individual well-being in the United States","year":2024,"lang":"en","type":"preprint","venue":"Research Square","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Transport Canada","funders":"","keywords":"Well-being; Psychology; Business; Social psychology","score_opus":0.14140847804742343,"score_gpt":0.3904666115358463,"score_spread":0.24905813348842284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401505146","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959302,0.0004246567,0.000020718537,0.0015670795,0.00004209075,0.0011289387,0.000058201877,0.000014381325,0.00081374566],"genre_scores_gemma":[0.9977847,0.0018681304,0.0000051150882,0.00003176359,0.000030730786,0.00005596108,0.00018961824,0.000010003475,0.000023974892],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9956385,0.0026400932,0.00021156053,0.00024301477,0.0009802991,0.00028652485],"domain_scores_gemma":[0.99624074,0.0033196255,0.000052016618,0.00029763742,0.000032194144,0.000057816884],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005629773,0.00012999834,0.00017198322,0.00024012671,0.0008641731,0.00020976207,0.00046013782,0.00015922284,0.000018846193],"category_scores_gemma":[0.0001188235,0.000080779675,0.00004647142,0.0003583244,0.0011240151,0.00004973863,0.00012126754,0.00217728,9.869894e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007400592,0.00020632995,0.23671925,0.0032643753,0.00006919319,0.00002477806,0.75113153,0.00020547528,0.00004591549,0.0075215786,0.00008863402,0.00064895663],"study_design_scores_gemma":[0.0001954472,0.00012876462,0.77198964,0.0009760023,0.000039635812,4.5479485e-8,0.12615077,0.00010029444,0.000030107154,0.10013017,0.00016333286,0.00009575683],"about_ca_topic_score_codex":0.022523452,"about_ca_topic_score_gemma":0.016967889,"teacher_disagreement_score":0.62498075,"about_ca_system_score_codex":0.00016888876,"about_ca_system_score_gemma":0.00009350793,"threshold_uncertainty_score":0.98398566},"labels":[],"label_agreement":null},{"id":"W4401535087","doi":"10.1016/j.tra.2024.104189","title":"Travel behaviour changes among young adults and associated implications for social sustainability","year":2024,"lang":"en","type":"article","venue":"Transportation Research Part A Policy and Practice","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Sustainability; Travel behavior; Social sustainability; Transport engineering; Sociology; Engineering; Ecology","score_opus":0.12102027553704464,"score_gpt":0.4900395098517424,"score_spread":0.36901923431469774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401535087","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8798313,0.00050438463,0.0003640869,0.11384101,0.00007470717,0.0016716152,0.0007608994,0.00013739114,0.0028146154],"genre_scores_gemma":[0.9970425,0.00047181934,0.000051456947,0.00012567615,0.00038969467,0.00043680004,0.00018709307,0.000014876272,0.0012801139],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99793607,0.00050383987,0.00024438827,0.00042614905,0.00037004176,0.0005195164],"domain_scores_gemma":[0.9964072,0.0024388912,0.00006665002,0.000099558216,0.00074992003,0.0002377845],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.004489691,0.00011174822,0.00015206554,0.0001858803,0.0016567832,0.00030879205,0.00011640476,0.0001813898,0.000031073727],"category_scores_gemma":[0.002828438,0.000113915936,0.000054392433,0.0007790178,0.0007974593,0.0009053976,0.000004749051,0.0003293886,8.9177814e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00054969225,0.000356181,0.51966476,0.00065840123,0.00010919635,0.00001357786,0.16921207,5.8888514e-7,0.000053707427,0.29064578,0.0031950152,0.015541057],"study_design_scores_gemma":[0.00030869304,0.00006683794,0.94499993,0.000027079519,0.00007424423,2.5951817e-7,0.016799882,0.000016411948,0.00000750776,0.01384093,0.023731297,0.00012691069],"about_ca_topic_score_codex":0.05596921,"about_ca_topic_score_gemma":0.10781193,"teacher_disagreement_score":0.4253352,"about_ca_system_score_codex":0.00017194741,"about_ca_system_score_gemma":0.00079546496,"threshold_uncertainty_score":0.9996429},"labels":[],"label_agreement":null},{"id":"W4401541039","doi":"10.3390/laws13040052","title":"Disabled Pedestrians, Micromobility, and Furthering Disability Equality Law through Consultation: A Case Study of the Toronto E-Scooter Ban","year":2024,"lang":"en","type":"article","venue":"Laws","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Convention on the Rights of Persons with Disabilities; Stigma (botany); Universal design; Sociology; Dilemma; Dignity; Ratification; Political science; Law; Public relations; Convention; Psychology; Politics; Engineering","score_opus":0.04485945442214858,"score_gpt":0.3595229779566147,"score_spread":0.31466352353446614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401541039","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9900944,0.0003979168,0.000019680794,0.00061200693,0.00030370438,0.0008506549,0.000034297675,0.00007165627,0.0076156533],"genre_scores_gemma":[0.99956477,0.000007846669,0.00004690891,0.00003979515,0.000098897355,0.0000276316,0.0000017420356,0.000007833057,0.00020455277],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9983711,0.0004142217,0.00036507967,0.0003925884,0.0002552692,0.0002017133],"domain_scores_gemma":[0.9991019,0.00032986558,0.00005753508,0.00040045852,0.000050295883,0.000059997215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010021572,0.00012199681,0.00021019779,0.0000024670103,0.0004579543,0.00014840494,0.0002040282,0.000072395414,0.00025077089],"category_scores_gemma":[0.000063358806,0.00008403494,0.00008107804,0.00017924265,0.0010157434,0.00057220965,0.00006816661,0.00011804374,0.0000012269181],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000494981,0.0009035655,0.6524513,0.00028171815,0.00007198533,0.000051901163,0.3221356,0.0000017499015,0.00020276819,0.021833625,0.000026403124,0.001989915],"study_design_scores_gemma":[0.0030796602,0.0003892648,0.42263472,0.00027000427,0.0006017348,0.00003097701,0.5146307,0.00008538691,0.00074484997,0.032786027,0.023725169,0.0010215285],"about_ca_topic_score_codex":0.35494334,"about_ca_topic_score_gemma":0.7963334,"teacher_disagreement_score":0.44139,"about_ca_system_score_codex":0.00012182889,"about_ca_system_score_gemma":0.000070831746,"threshold_uncertainty_score":0.64935213},"labels":[],"label_agreement":null},{"id":"W4401574892","doi":"10.1080/01944363.2024.2369199","title":"COVID Street Cafés: Assessing Policy Windows in Five North American Cities","year":2024,"lang":"en","type":"article","venue":"Journal of the American Planning Association","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Space (punctuation); Pandemic; Urban policy; Public administration; Urban planning; Political science; Public relations; Geography; Business; Engineering; Medicine; Civil engineering; Computer science","score_opus":0.019395297168362743,"score_gpt":0.34807757028163544,"score_spread":0.3286822731132727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401574892","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9921347,0.00013603501,0.000064610846,0.0061341072,0.0003626802,0.0000726833,0.000017832812,0.000032023036,0.0010453338],"genre_scores_gemma":[0.9980729,0.000040024097,0.000122693,0.0005450292,0.0008264905,0.0000015594416,0.00000251546,0.000010212339,0.000378542],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979999,0.0004453685,0.0004298114,0.00013113224,0.0006823655,0.00031141634],"domain_scores_gemma":[0.9978529,0.0005896819,0.0012335996,0.00009231659,0.00012262512,0.00010883129],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014260815,0.00010385888,0.0003213554,0.00026030646,0.0002907675,0.0002804608,0.0003530762,0.000029584027,0.000006393286],"category_scores_gemma":[0.0014415153,0.00007881997,0.00016441885,0.0017342176,0.000282595,0.0005813131,0.00002090152,0.00046376672,0.0000015320676],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013673139,0.000021110669,0.98040336,0.0000073694578,0.000047589743,0.000018953491,0.013034306,0.0009666513,0.0000147614455,0.000030496614,0.0014811506,0.0039605596],"study_design_scores_gemma":[0.000093020266,0.000043280972,0.9825018,0.00010079474,0.000036558755,7.2319904e-7,0.014110147,0.00011546748,0.000007995768,0.0002500931,0.002646128,0.00009399281],"about_ca_topic_score_codex":0.021545706,"about_ca_topic_score_gemma":0.01192559,"teacher_disagreement_score":0.009620115,"about_ca_system_score_codex":0.0018991551,"about_ca_system_score_gemma":0.0014545799,"threshold_uncertainty_score":0.9849699},"labels":[],"label_agreement":null},{"id":"W4401592617","doi":"10.1002/9781394312498.ch4","title":"Walking in Everyday Life","year":2024,"lang":"en","type":"other","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Pedestrian; Walkability; Psychological intervention; Field (mathematics); Transport engineering; Architectural engineering; Computer science; Psychology; Engineering; Built environment; Civil engineering","score_opus":0.022855818859473395,"score_gpt":0.31865245248701773,"score_spread":0.2957966336275443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401592617","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00020817938,0.0022732741,0.0000106732905,0.00034074648,0.00072994176,0.00013245823,0.0000050397034,0.00028625948,0.9960134],"genre_scores_gemma":[0.045856204,0.00007594914,0.000066401146,0.00014385307,0.00059784704,0.000005257565,0.00000336649,0.00009820866,0.9531529],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.999238,0.00003360135,0.0001169424,0.00023520026,0.00019390452,0.00018236219],"domain_scores_gemma":[0.9997747,0.000014106905,0.000027631746,0.00011448732,0.0000047420135,0.00006434254],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002873035,0.000087663706,0.00014645535,0.00012841115,0.000021107637,0.00005240997,0.00018597035,0.00021822726,0.033878222],"category_scores_gemma":[0.000028654526,0.00007322879,0.00005574198,0.00023769274,0.00008273455,0.00003999979,0.000012695372,0.00015560271,0.0010953713],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[7.563217e-7,0.00001628388,0.025429219,0.0000611738,0.000010228053,0.000014148107,0.0017031687,1.5221152e-8,2.3597192e-7,0.0037462062,0.96769834,0.0013202495],"study_design_scores_gemma":[0.000031458847,0.000001155422,0.0022593646,0.00012019071,0.000007451889,4.954199e-9,0.00038194223,3.5875192e-7,4.02618e-7,0.0019610138,0.9951267,0.00010992221],"about_ca_topic_score_codex":0.028602391,"about_ca_topic_score_gemma":0.19185154,"teacher_disagreement_score":0.16324915,"about_ca_system_score_codex":0.000037762435,"about_ca_system_score_gemma":0.00015325549,"threshold_uncertainty_score":0.99968237},"labels":[],"label_agreement":null},{"id":"W4401592769","doi":"10.1002/9781394312498.ch6","title":"A Critical Analysis of Policies Promoting Physical Activity and Active Mobility","year":2024,"lang":"en","type":"other","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Physical activity; Context (archaeology); Public policy; Public health; Space (punctuation); Politics; Public economics; Political science; Sociology; Public relations; Economics; Geography; Medicine; Computer science; Law","score_opus":0.02489087634796609,"score_gpt":0.38058800094627854,"score_spread":0.35569712459831243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401592769","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4398955,0.00010152006,0.000029107965,0.00028755623,0.000056351797,0.00019572735,0.00015234985,0.00013597553,0.5591459],"genre_scores_gemma":[0.90174687,0.0000090239755,0.00003255158,0.000006861423,0.00017188111,0.000008768089,0.0000033824547,0.000040626983,0.09798003],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9988728,0.0001050214,0.00010802612,0.00040780604,0.000297771,0.00020854925],"domain_scores_gemma":[0.9994408,0.00016616518,0.000066247485,0.00018711349,0.000046119036,0.0000935733],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00024912614,0.00014374484,0.0005242251,0.0002143561,0.000060430946,0.000051174193,0.00012794489,0.00017911007,0.0012032484],"category_scores_gemma":[0.00016299065,0.00011482032,0.00023173486,0.00077167037,0.0010380975,0.00010002677,0.00004127991,0.00018836895,0.000006122668],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022584984,0.010367132,0.3017352,0.007776357,0.017567806,0.00004159806,0.41070336,7.085111e-7,0.0017420987,0.121362254,0.039626367,0.08885129],"study_design_scores_gemma":[0.00038511722,0.00019673334,0.88528705,0.00067293126,0.019870074,1.5641164e-7,0.013536398,0.0015849675,0.0022647365,0.025925428,0.04831209,0.0019643498],"about_ca_topic_score_codex":0.039895847,"about_ca_topic_score_gemma":0.034626395,"teacher_disagreement_score":0.5835518,"about_ca_system_score_codex":0.000037273614,"about_ca_system_score_gemma":0.00009038927,"threshold_uncertainty_score":0.9997098},"labels":[],"label_agreement":null},{"id":"W4401671044","doi":"10.1016/j.tranpol.2024.08.006","title":"Opinions matter: Contrasting perceptions of major public transit projects in Montréal, Canada","year":2024,"lang":"en","type":"article","venue":"Transport Policy","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Montréal; Concordia University; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Public transport; Perception; Transit (satellite); Transport engineering; Engineering; Business; Geography; Marketing; Economic geography; Psychology","score_opus":0.020791955614800874,"score_gpt":0.2950053588839375,"score_spread":0.2742134032691366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401671044","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95662194,0.0005867346,0.00038627358,0.019167027,0.00022877051,0.0005008883,0.00044355236,0.00012010704,0.021944692],"genre_scores_gemma":[0.9984581,0.00005801671,0.00006257846,0.00019612015,0.00023138543,0.000036488924,0.000087671964,0.000019804165,0.0008498616],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99822307,0.000059778136,0.0004963381,0.00031521177,0.00037141953,0.0005341864],"domain_scores_gemma":[0.99946636,0.000071217684,0.000042043677,0.00017794185,0.000056036897,0.00018642278],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034162324,0.0001542087,0.00027937602,0.000266072,0.00020988243,0.00004098836,0.0002734134,0.0001002113,0.0008350611],"category_scores_gemma":[0.000017561955,0.00015223224,0.00012471137,0.0011598415,0.00023891432,0.0003817498,0.0000032360956,0.0002290223,0.000010685697],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013131432,0.00012794716,0.9634028,0.00029053283,0.00004056699,0.00005376446,0.01924173,0.000016620026,0.00022000559,0.01350063,0.0012590605,0.0018332052],"study_design_scores_gemma":[0.00030514915,0.000013105747,0.9743262,0.00014192043,0.00003690241,9.5025183e-7,0.0038474267,0.00003301316,0.00003478562,0.0004600368,0.02057589,0.00022460475],"about_ca_topic_score_codex":0.96884257,"about_ca_topic_score_gemma":0.99223864,"teacher_disagreement_score":0.041836116,"about_ca_system_score_codex":0.0002557604,"about_ca_system_score_gemma":0.003965218,"threshold_uncertainty_score":0.9143333},"labels":[],"label_agreement":null},{"id":"W4401710495","doi":"10.1007/978-3-031-60419-5_7","title":"Mode Choice Behavior of Home-Based Discretionary Trips in the Greater Toronto and Hamilton Area","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in civil engineering","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University","funders":"","keywords":"TRIPS architecture; Mode (computer interface); Mode choice; Transport engineering; Geography; Engineering; Computer science; Human–computer interaction; Public transport","score_opus":0.01693995955334867,"score_gpt":0.2591450675905543,"score_spread":0.2422051080372056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401710495","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.71023566,0.057366066,0.020999782,0.0020568268,0.0029539515,0.0050308737,0.0008253393,0.0006247581,0.19990677],"genre_scores_gemma":[0.99857277,0.000099106495,0.00009303532,0.000033352062,0.00017632626,0.000039730367,0.000039118342,0.0000320871,0.0009144532],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988558,0.000015145749,0.0002859842,0.00031827917,0.00030538652,0.00021939649],"domain_scores_gemma":[0.9993878,0.00028700568,0.000049485883,0.00021569282,0.000021257632,0.000038747574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026640322,0.00024247008,0.00030554138,0.00011256626,0.00004186019,0.000040916897,0.00024493362,0.00033357317,0.00017671098],"category_scores_gemma":[0.00003480625,0.00018487113,0.000101377984,0.00008039462,0.000109047265,0.000111013316,0.000015464206,0.00045396877,6.273158e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038735243,0.0006041284,0.6585914,0.0066694827,0.00036578465,0.0010018449,0.15489759,0.101817496,0.0019746823,0.045227237,0.00015771553,0.028305309],"study_design_scores_gemma":[0.0045477306,0.0005382455,0.7670423,0.012830078,0.0016659742,0.000010797632,0.00051840127,0.035742022,0.001004474,0.07790293,0.09150149,0.0066955807],"about_ca_topic_score_codex":0.0037290778,"about_ca_topic_score_gemma":0.16672863,"teacher_disagreement_score":0.28833714,"about_ca_system_score_codex":0.00018754521,"about_ca_system_score_gemma":0.000054130312,"threshold_uncertainty_score":0.8484764},"labels":[],"label_agreement":null},{"id":"W4401726575","doi":"10.1177/23998083241276021","title":"Spnaf: An R package for analyzing and mapping the hotspots of flow datasets","year":2024,"lang":"en","type":"article","venue":"Environment and Planning B Urban Analytics and City Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"R package; Computer science; Hotspot (geology); Spatial analysis; Data mining; Shapefile; Database; Cartography; Geography; World Wide Web; Remote sensing; Metadata","score_opus":0.05233552773680944,"score_gpt":0.29692738840868294,"score_spread":0.2445918606718735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401726575","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99271053,0.0024383687,0.0039832876,0.00032316818,0.000068317626,0.00014599485,0.00012336923,0.000013595319,0.00019339504],"genre_scores_gemma":[0.9988158,0.0002642516,0.00064628356,0.00003846393,0.000080618236,0.0000020219516,0.000019419775,0.0000034483203,0.00012972322],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989823,0.000025610963,0.00015445967,0.00035679774,0.00025198047,0.00022882473],"domain_scores_gemma":[0.9995112,0.00014452642,0.000047145226,0.00015503047,0.000008892422,0.00013322633],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001623804,0.000091456684,0.00012498301,0.00008563404,0.0008073345,0.00030423646,0.0001919929,0.000036491514,0.000019384765],"category_scores_gemma":[0.00004474866,0.00006677816,0.0000247337,0.00024553956,0.0013873666,0.00044114073,0.000050169143,0.00008954695,2.853472e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009304786,0.000023376972,0.9734152,0.00006199685,0.000020359103,0.0000051216794,0.015642695,0.00003731276,0.00094088283,0.0016743686,0.00033836707,0.007830988],"study_design_scores_gemma":[0.00015181537,0.000068258305,0.9466545,0.00010194239,0.00009614604,8.467492e-7,0.0042620855,0.031631324,0.00017490795,0.0021117292,0.01450303,0.0002434081],"about_ca_topic_score_codex":0.00015197603,"about_ca_topic_score_gemma":0.000052820476,"teacher_disagreement_score":0.031594012,"about_ca_system_score_codex":0.000017215249,"about_ca_system_score_gemma":0.000042411302,"threshold_uncertainty_score":0.6209446},"labels":[],"label_agreement":null},{"id":"W4401733608","doi":"10.31223/x5st3z","title":"Operationalizing accessibility in environmental sustainability efforts: Challenges, barriers, and opportunities","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; Wilfrid Laurier University","funders":"","keywords":"Operationalization; Sustainability; Mindset; Equity (law); Inclusion (mineral); Public relations; Universal design; Political science; Business; Environmental planning; Sociology; Psychology; Engineering; Computer science; Social psychology; Geography","score_opus":0.054587847600994395,"score_gpt":0.32178599436141064,"score_spread":0.26719814676041626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401733608","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94305533,0.018301718,0.000012500355,0.009555447,0.00042510167,0.0010320725,0.00011992998,0.00015745051,0.027340462],"genre_scores_gemma":[0.9917398,0.005505041,0.00006944554,0.00012610461,0.00019725267,0.00013638799,0.000090827074,0.00001988684,0.0021152708],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970093,0.0003507433,0.0006018664,0.0010858235,0.00050816266,0.00044415295],"domain_scores_gemma":[0.9989694,0.000119146986,0.00009079946,0.00045693616,0.000050304363,0.00031342177],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0027317028,0.00031891366,0.000429854,0.00014697194,0.0003405825,0.0003596038,0.00041911684,0.00046809547,0.0014442416],"category_scores_gemma":[0.0001531912,0.0003026884,0.00012619757,0.000055986842,0.0009917285,0.00039063112,0.00083589123,0.00080110587,0.0000030643419],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010377793,0.00034685046,0.7638651,0.003543766,0.0001178979,0.00019362167,0.07301873,0.00002772272,0.0000069080506,0.10318922,0.00036040426,0.055225976],"study_design_scores_gemma":[0.00029712825,0.000023657576,0.46543708,0.00022066053,0.00007686412,4.782163e-7,0.06390087,0.00022200859,0.000019969317,0.4469801,0.021951087,0.00087012677],"about_ca_topic_score_codex":0.0046496238,"about_ca_topic_score_gemma":0.018528543,"teacher_disagreement_score":0.34379086,"about_ca_system_score_codex":0.0009652755,"about_ca_system_score_gemma":0.0016121026,"threshold_uncertainty_score":0.99994254},"labels":[],"label_agreement":null},{"id":"W4401816411","doi":"10.2139/ssrn.4934583","title":"Why is Female Labor Force Participation Declining in China? A Perspective from Urban Commuting","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"China; Perspective (graphical); Demographic economics; Labour economics; Geography; Political science; Economics; Computer science","score_opus":0.023909529814943632,"score_gpt":0.3497800278921654,"score_spread":0.32587049807722174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401816411","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97388494,0.014474185,0.00067574345,0.0072617154,0.0006591166,0.0003036838,0.000031576805,0.00012410122,0.0025849533],"genre_scores_gemma":[0.9964223,0.0013248565,0.00009067667,0.00031114716,0.0012105092,0.000022786222,0.000016580449,0.000045251792,0.0005559284],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9958752,0.00038412912,0.00061224843,0.00056442147,0.0005155755,0.0020484503],"domain_scores_gemma":[0.9989306,0.00013595955,0.00037017395,0.0002647091,0.00017144103,0.0001271173],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0036789647,0.00026469375,0.0004137863,0.000182173,0.00045680188,0.0003748006,0.0006316566,0.00034514448,0.000121877216],"category_scores_gemma":[0.00025213222,0.00026058912,0.00026598966,0.00041268277,0.0001514965,0.00023630203,0.00017945975,0.00675652,0.000011897701],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000101964215,0.00018360365,0.7261988,0.00003983833,0.00035473017,0.000021818936,0.2144604,0.0001207512,0.000021676728,0.054650534,0.00031300006,0.0035328662],"study_design_scores_gemma":[0.0003351738,0.000052547544,0.05940156,0.00036051217,0.00015208055,7.967613e-7,0.046810087,0.00040627248,0.00002918541,0.89142865,0.00068997,0.00033318117],"about_ca_topic_score_codex":0.059484348,"about_ca_topic_score_gemma":0.30785835,"teacher_disagreement_score":0.8367781,"about_ca_system_score_codex":0.00347053,"about_ca_system_score_gemma":0.005318109,"threshold_uncertainty_score":0.9999846},"labels":[],"label_agreement":null},{"id":"W4401834251","doi":"10.22541/au.172417509.93694473/v1","title":"Inequitable spatial and temporal patterns in the distribution of multiple environmental risks and benefits in Metro Vancouver","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Distribution (mathematics); Geography; Spatial distribution; Environmental planning; Environmental resource management; Environmental science; Mathematics; Remote sensing","score_opus":0.03978743796912381,"score_gpt":0.28955168112887136,"score_spread":0.24976424315974755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401834251","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99773985,0.0005963375,0.00008207088,0.00011945158,0.00018888667,0.0003998938,0.0006028253,0.000009644446,0.0002610564],"genre_scores_gemma":[0.9995534,0.00013870651,0.000022113403,0.000011732024,0.00005671556,0.000022267617,0.0001540695,0.0000046832315,0.00003630531],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99888456,0.00009636653,0.00028340498,0.00031388502,0.0002463179,0.00017548868],"domain_scores_gemma":[0.99967754,0.00008375681,0.000072465235,0.00012743696,0.0000054185616,0.000033400687],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007809593,0.00011968542,0.00020810081,0.000048459056,0.000056837285,0.000053248936,0.00015486286,0.00016275357,0.0000723566],"category_scores_gemma":[0.000022736034,0.00008663098,0.000038481987,0.00008167475,0.00016071311,0.000086590204,0.00022458678,0.00033778194,4.909293e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011777674,0.00007381229,0.9950782,0.00007132411,0.0000053644203,0.000002927061,0.002337764,0.000016556252,0.000002897603,0.00005450421,0.000028985587,0.0023159012],"study_design_scores_gemma":[0.00021366855,0.000012806027,0.99297744,0.00005937943,0.000017921244,1.3791561e-8,0.0040917383,0.00033640015,0.00005755281,0.0020270376,0.000104708575,0.00010133185],"about_ca_topic_score_codex":0.19917779,"about_ca_topic_score_gemma":0.7765204,"teacher_disagreement_score":0.5773426,"about_ca_system_score_codex":0.000088347064,"about_ca_system_score_gemma":0.00004375132,"threshold_uncertainty_score":0.80615497},"labels":[],"label_agreement":null},{"id":"W4401890835","doi":"10.3390/su16177280","title":"Age-Friendly Cycling Infrastructure—Differences and Preferences among 50+ Cyclists","year":2024,"lang":"en","type":"article","venue":"Sustainability","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Preference; Cycling; Perception; Test (biology); Order (exchange); Transport engineering; Geography; Applied psychology; Business; Psychology; Engineering; Statistics; Mathematics","score_opus":0.01122746729394934,"score_gpt":0.30129588566508114,"score_spread":0.2900684183711318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401890835","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9888737,0.0009378919,0.00022386695,0.0007694216,0.00048041722,0.0005019637,0.000014298778,0.00036256295,0.007835875],"genre_scores_gemma":[0.9985788,0.00006175078,0.00014553533,0.000019088915,0.00024721803,0.000033611996,0.000006429788,0.000011228382,0.0008963667],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975842,0.00033680437,0.0003651236,0.00071471033,0.00043455028,0.0005645666],"domain_scores_gemma":[0.99878705,0.00039120155,0.000060274553,0.00029159253,0.00023294015,0.00023695998],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013987849,0.00021651133,0.000285247,0.000102935286,0.00075390254,0.0006077256,0.00036191638,0.00020375085,0.00030570242],"category_scores_gemma":[0.00094562484,0.00017691313,0.000106005515,0.0004650719,0.0020601708,0.00083433295,0.00007833787,0.0004499118,0.0000029817813],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013478342,0.00002760056,0.9573545,0.0003099005,0.000016578746,0.000026626167,0.011530699,0.0000021909711,0.0000059970444,0.010202376,0.00010208327,0.020407965],"study_design_scores_gemma":[0.000053039304,0.00002125083,0.74907786,0.000028365805,0.000022847702,1.6790833e-7,0.00651799,0.000029832112,0.000008679429,0.23980834,0.0042622867,0.00016936951],"about_ca_topic_score_codex":0.008800334,"about_ca_topic_score_gemma":0.00949585,"teacher_disagreement_score":0.22960596,"about_ca_system_score_codex":0.00035078084,"about_ca_system_score_gemma":0.0007307165,"threshold_uncertainty_score":0.9978002},"labels":[],"label_agreement":null},{"id":"W4401899597","doi":"10.1007/s44327-024-00015-5","title":"Impacts of long-term transit system disruptions and transitional periods on travelers: a systematic review","year":2024,"lang":"en","type":"review","venue":"Discover Cities","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Term (time); Service (business); Transit (satellite); Business; Risk analysis (engineering); Transport engineering; Public transport; Engineering; Marketing","score_opus":0.048389436752634185,"score_gpt":0.3684993167229037,"score_spread":0.3201098799702695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401899597","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00042755454,0.9936963,0.000041681473,0.00007661582,0.00023962869,0.002307667,0.0014266223,0.000074108946,0.0017098408],"genre_scores_gemma":[0.03599312,0.96270937,0.000003345762,0.00003172324,0.00013628024,0.00025703004,0.00022259286,0.00003621785,0.00061034743],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9971283,0.00040512078,0.0010815772,0.000447701,0.0006257359,0.0003115455],"domain_scores_gemma":[0.9989917,0.00017503345,0.00030826282,0.00032303273,0.000057338024,0.00014459254],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006998255,0.00043816064,0.0025733204,0.00016971452,0.00023779037,0.00020634811,0.00030730016,0.00021781576,0.0001013805],"category_scores_gemma":[0.000029202329,0.00029875126,0.0010055878,0.00038338592,0.0005321767,0.0003164483,0.000010430588,0.00028947793,0.000020184762],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000035178948,0.000037503818,0.00003577376,0.9877599,0.00027286,0.00002661382,0.0040163887,2.9080493e-8,3.2772654e-8,0.0061097983,0.000029902885,0.0017076666],"study_design_scores_gemma":[0.00007248672,0.00003851959,0.00015316159,0.98766166,0.008869647,0.00001112744,0.0017074374,2.9775077e-7,1.1799004e-7,0.00005635891,0.0010686915,0.00036046468],"about_ca_topic_score_codex":0.00021221218,"about_ca_topic_score_gemma":0.00081927003,"teacher_disagreement_score":0.035565566,"about_ca_system_score_codex":0.00020196127,"about_ca_system_score_gemma":0.0006294545,"threshold_uncertainty_score":0.9999465},"labels":[],"label_agreement":null},{"id":"W4401933554","doi":"10.48130/dts-0024-0015","title":"Transportation mobility during COVID-19: a systematic review and bibliometric analysis","year":2024,"lang":"en","type":"review","venue":"Digital Transportation and Safety","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Bibliometrics; Data science; Regional science; Geography; Computer science; Medicine; Library science; Virology; Outbreak","score_opus":0.04556888505752212,"score_gpt":0.3717373302028853,"score_spread":0.3261684451453632,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401933554","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0004971381,0.99256116,0.00024388982,0.00011966843,0.000068412905,0.002905511,0.0030315141,0.00022051272,0.0003522004],"genre_scores_gemma":[0.016415358,0.9796988,0.0000117915615,0.00009071908,0.00003069963,0.00022018894,0.0029414264,0.000032729607,0.0005583272],"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","domain_scores_codex":[0.9960042,0.00018459001,0.0018804468,0.000947703,0.00062274776,0.00036029756],"domain_scores_gemma":[0.99810123,0.0002997726,0.0005133214,0.00034239117,0.00012113599,0.0006221337],"candidate_categories":["metaepi_narrow","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.0012040936,0.00051473186,0.0029139018,0.010315288,0.0004763479,0.0004175287,0.00025048252,0.0003268465,0.00014801072],"category_scores_gemma":[0.00022787756,0.00040637006,0.0009997955,0.05937345,0.00032622216,0.0008722282,0.0000034850832,0.00032844307,0.000012213679],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000075887315,0.00005910064,0.0028558802,0.9846435,0.0009428668,0.000029869761,0.0014326524,6.329804e-7,5.16868e-9,0.00050714344,0.000010705136,0.00951005],"study_design_scores_gemma":[0.0008842414,0.000074812255,0.08827545,0.28403494,0.25828135,0.000005784413,0.0017574762,0.0000056245563,7.315427e-8,0.001094733,0.3625585,0.0030270154],"about_ca_topic_score_codex":0.0004043007,"about_ca_topic_score_gemma":0.0029457035,"teacher_disagreement_score":0.70060855,"about_ca_system_score_codex":0.00017310685,"about_ca_system_score_gemma":0.00043958257,"threshold_uncertainty_score":0.9998388},"labels":[],"label_agreement":null},{"id":"W4401996360","doi":"10.3390/f15091519","title":"The Characteristics of Visitor Behavior and Driving Factors in Urban Mountain Parks: A Case Study of Fuzhou, China","year":2024,"lang":"en","type":"article","venue":"Forests","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Capital Regional District; University of British Columbia; Stantec (Canada)","funders":"Chinese Academy of Forestry","keywords":"China; Visitor pattern; Geography; Forestry; Environmental protection; Environmental resource management; Environmental science; Archaeology; Computer science","score_opus":0.014505017779798665,"score_gpt":0.3120242420558387,"score_spread":0.29751922427604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401996360","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992044,0.00014662922,0.0000024189424,0.00001636374,0.0001997891,0.00035158708,0.000014063148,0.000017288567,0.000047469763],"genre_scores_gemma":[0.9998302,0.000008047693,0.000002772756,6.014159e-7,0.000075060125,0.000014204047,0.000002053374,0.0000062270733,0.000060824314],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991864,0.00007184527,0.00026262636,0.00014623503,0.0001857937,0.00014707472],"domain_scores_gemma":[0.99959946,0.00014440528,0.00006457081,0.00012372153,0.000022998294,0.000044837463],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042471391,0.00007225777,0.00014546521,0.000046908495,0.00016049293,0.000059940026,0.00012335247,0.000043803837,0.000011509048],"category_scores_gemma":[0.00005464912,0.000049381262,0.000031310505,0.0002058372,0.00016834427,0.00014094784,0.000023360806,0.000102162514,2.0630412e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005302689,0.00014398847,0.9541038,0.00002054325,0.000007243736,0.00015831261,0.043609228,1.3616649e-7,0.000016829757,0.00010544718,0.000009013945,0.001820152],"study_design_scores_gemma":[0.00009027862,0.00007050261,0.9877883,0.000032648408,0.000028801729,9.520824e-7,0.011722823,0.000026326205,0.00001939601,0.00007708478,0.00009059418,0.000052251675],"about_ca_topic_score_codex":0.0138704255,"about_ca_topic_score_gemma":0.21117654,"teacher_disagreement_score":0.19730613,"about_ca_system_score_codex":0.000029041174,"about_ca_system_score_gemma":0.000055652356,"threshold_uncertainty_score":0.9926963},"labels":[],"label_agreement":null},{"id":"W4402002829","doi":"10.1007/978-981-97-1257-1_50","title":"Does Common Infrastructure Planning Support Better Urban Sustainability? Analysis of Mass-Transit Projects on Short-Term and Long-Term Sustainability Impacts","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in civil engineering","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Patheon (Canada); University of Toronto","funders":"","keywords":"Term (time); Sustainability; Business; Transit (satellite); Urban sustainability; Environmental planning; Transport engineering; Environmental science; Engineering; Public transport","score_opus":0.008722393478753893,"score_gpt":0.2740274792219489,"score_spread":0.265305085743195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402002829","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98351234,0.0010121817,0.005289733,0.00085533445,0.0006018434,0.0020527549,0.00025877706,0.00035540317,0.0060616536],"genre_scores_gemma":[0.99854,0.00003525528,0.00006396316,0.000054841577,0.00031678658,0.000024833582,0.00021185343,0.000090627385,0.0006618327],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99645555,0.000050094055,0.0008730021,0.0010888953,0.0007067095,0.00082576467],"domain_scores_gemma":[0.99810433,0.0005285402,0.00017676073,0.0007077537,0.0002484908,0.00023410961],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007450566,0.00077188,0.0013564375,0.0011971785,0.00014615989,0.00018286439,0.00046369294,0.0010141035,0.0002991999],"category_scores_gemma":[0.00027596703,0.0005933243,0.00048062802,0.0006799761,0.00042677304,0.0002687788,0.000079712176,0.0015359013,3.9942827e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007614153,0.000032617696,0.96304286,0.0033801433,0.0006903593,0.00034872175,0.012511109,0.01669016,0.0000765769,0.00072670094,0.000008725486,0.00241588],"study_design_scores_gemma":[0.0002942584,0.00018688383,0.97363704,0.0010182997,0.0021690663,0.0000015457347,0.00017993308,0.0008437434,0.00024221465,0.019293524,0.00072781934,0.0014056416],"about_ca_topic_score_codex":0.00024944133,"about_ca_topic_score_gemma":0.010427802,"teacher_disagreement_score":0.018566823,"about_ca_system_score_codex":0.0011612794,"about_ca_system_score_gemma":0.00043526327,"threshold_uncertainty_score":0.9996518},"labels":[],"label_agreement":null},{"id":"W4402031779","doi":"10.32920/26866447.v1","title":"Children's Independent Mobility and the Built Environment","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Architectural engineering; Engineering","score_opus":0.01505281346708674,"score_gpt":0.27611333584573194,"score_spread":0.2610605223786452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402031779","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96150035,0.0029833661,0.000097373086,0.005185028,0.0005115541,0.0011745476,0.000040568793,0.0001224483,0.028384797],"genre_scores_gemma":[0.9945365,0.0005773556,0.00006592843,0.000118776974,0.00042149154,0.000080841244,0.0000141851415,0.0000098697265,0.004175041],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981395,0.00019898506,0.00027632923,0.00063641055,0.00051120645,0.00023757629],"domain_scores_gemma":[0.9991995,0.00009037471,0.00007087703,0.0005203499,0.000013788559,0.00010512881],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0018530999,0.00018823042,0.00026014078,0.0000271748,0.00030627666,0.0002671205,0.00049824535,0.00027020782,0.0009387184],"category_scores_gemma":[0.000026521246,0.0001117134,0.00017679927,0.00005023274,0.0013453396,0.000042101725,0.00085107534,0.00080960075,0.000055554356],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010383019,0.00033567369,0.9095275,0.00023276839,0.00035760185,0.000008979314,0.023030542,0.000056092475,0.0000037188734,0.049200125,0.0014034259,0.015739758],"study_design_scores_gemma":[0.00036533762,0.0000061882674,0.6772138,0.000031240357,0.00017047102,2.0533751e-7,0.0007296944,0.00004053914,0.000024272356,0.31726772,0.0038665696,0.00028397283],"about_ca_topic_score_codex":0.02796465,"about_ca_topic_score_gemma":0.00666851,"teacher_disagreement_score":0.2680676,"about_ca_system_score_codex":0.00010432149,"about_ca_system_score_gemma":0.00016708933,"threshold_uncertainty_score":0.99997455},"labels":[],"label_agreement":null},{"id":"W4402031782","doi":"10.32920/26866447","title":"Children's Independent Mobility and the Built Environment","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Geography; Environmental science","score_opus":0.01505281346708674,"score_gpt":0.27611333584573194,"score_spread":0.2610605223786452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402031782","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96150035,0.0029833661,0.000097373086,0.005185028,0.0005115541,0.0011745476,0.000040568793,0.0001224483,0.028384797],"genre_scores_gemma":[0.9945365,0.0005773556,0.00006592843,0.000118776974,0.00042149154,0.000080841244,0.0000141851415,0.0000098697265,0.004175041],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981395,0.00019898506,0.00027632923,0.00063641055,0.00051120645,0.00023757629],"domain_scores_gemma":[0.9991995,0.00009037471,0.00007087703,0.0005203499,0.000013788559,0.00010512881],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0018530999,0.00018823042,0.00026014078,0.0000271748,0.00030627666,0.0002671205,0.00049824535,0.00027020782,0.0009387184],"category_scores_gemma":[0.000026521246,0.0001117134,0.00017679927,0.00005023274,0.0013453396,0.000042101725,0.00085107534,0.00080960075,0.000055554356],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010383019,0.00033567369,0.9095275,0.00023276839,0.00035760185,0.000008979314,0.023030542,0.000056092475,0.0000037188734,0.049200125,0.0014034259,0.015739758],"study_design_scores_gemma":[0.00036533762,0.0000061882674,0.6772138,0.000031240357,0.00017047102,2.0533751e-7,0.0007296944,0.00004053914,0.000024272356,0.31726772,0.0038665696,0.00028397283],"about_ca_topic_score_codex":0.02796465,"about_ca_topic_score_gemma":0.00666851,"teacher_disagreement_score":0.2680676,"about_ca_system_score_codex":0.00010432149,"about_ca_system_score_gemma":0.00016708933,"threshold_uncertainty_score":0.99997455},"labels":[],"label_agreement":null},{"id":"W4402166246","doi":"10.32920/26866666","title":"Marginalized Communities and Transit Development: A Study of Light Rail Transit Lines in Toronto, Canada and Area","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transit (satellite); Transit-oriented development; Light rail transit; Rail transit; Transport engineering; Regional science; Light rail; Geography; Economic geography; Public transport; Business; Economic growth; Political science; Engineering; Economics","score_opus":0.03446290362475261,"score_gpt":0.28827105214719995,"score_spread":0.2538081485224473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402166246","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98309255,0.0047036554,0.000015027755,0.00056449615,0.00017492053,0.0006954012,0.000029427056,0.000037705413,0.01068681],"genre_scores_gemma":[0.9983174,0.0003479422,0.00011682173,0.00003431483,0.000026416728,0.000044644294,0.000017857796,0.0000119296865,0.0010826729],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99839276,0.00017790702,0.00051749224,0.00031234286,0.00037054665,0.00022892366],"domain_scores_gemma":[0.9994618,0.00009087535,0.00006997753,0.00020265821,0.00007553102,0.00009914288],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006029683,0.00023790881,0.00055666117,0.00006225629,0.00017404878,0.00009617938,0.00028856084,0.00016274354,0.00041181757],"category_scores_gemma":[0.0000060670586,0.00020717154,0.000035595232,0.00010732509,0.00016473036,0.000099014076,0.00010404368,0.00033949214,9.320456e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012818334,0.00037518353,0.44953606,0.001259339,0.00020983814,0.000043013046,0.54407895,0.0000049669306,0.000014682502,0.00033132904,0.00013628752,0.0038821804],"study_design_scores_gemma":[0.0018502792,0.00007404479,0.57539225,0.0008277846,0.00025772792,5.5320345e-7,0.41169855,0.00004386518,0.0001614086,0.0022698676,0.0065628537,0.0008608204],"about_ca_topic_score_codex":0.99373907,"about_ca_topic_score_gemma":0.9999606,"teacher_disagreement_score":0.13238038,"about_ca_system_score_codex":0.00023259394,"about_ca_system_score_gemma":0.0012918147,"threshold_uncertainty_score":0.84482104},"labels":[],"label_agreement":null},{"id":"W4402173531","doi":"10.1016/j.apenergy.2024.124282","title":"Assessing air quality and physical risks to E-scooter riders in urban environments through artificial intelligence and a mixed methods approach","year":2024,"lang":"en","type":"article","venue":"Applied Energy","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Trent University; Nottingham City Council; Nottingham Trent University","keywords":"Transport engineering; Air quality index; Pedestrian; Sustainable transport; Quality (philosophy); Global Positioning System; Engineering; Sustainability; Telecommunications; Geography","score_opus":0.1378373244297329,"score_gpt":0.42778024792651775,"score_spread":0.28994292349678485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402173531","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8336424,0.00015893139,0.1582518,0.0002555704,0.00010220084,0.00012549323,0.0000025050172,0.00004929165,0.007411771],"genre_scores_gemma":[0.9860471,0.000022175125,0.013457549,0.00018220066,0.00017809554,0.000050828865,0.000006031862,0.000012909732,0.00004314762],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99841815,0.00021429801,0.00026785876,0.00057224743,0.0002267224,0.00030072115],"domain_scores_gemma":[0.99950683,0.00019102936,0.000036007623,0.00015055314,0.000004531781,0.00011106903],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009365372,0.00014887274,0.00024084246,0.000051681163,0.00018255273,0.00018997974,0.00013654043,0.00010442909,0.0000126111045],"category_scores_gemma":[0.000023899272,0.0001375944,0.00003902546,0.00033261543,0.00036089186,0.0003334332,0.00006486763,0.00016305226,0.000002515569],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053413543,0.00034435146,0.00473585,0.00007198756,0.000042926218,0.0000063959346,0.047568336,0.0003956534,0.008795329,0.28434584,0.000046166715,0.6535937],"study_design_scores_gemma":[0.00029351778,0.00007448918,0.2582762,0.00009517487,0.000137811,6.321851e-7,0.043073043,0.004649382,0.048922934,0.6142995,0.028618343,0.0015590335],"about_ca_topic_score_codex":0.0045527704,"about_ca_topic_score_gemma":0.0009343545,"teacher_disagreement_score":0.6520347,"about_ca_system_score_codex":0.0000635541,"about_ca_system_score_gemma":0.00003971504,"threshold_uncertainty_score":0.6882457},"labels":[],"label_agreement":null},{"id":"W4402186151","doi":"10.32920/26866666.v1","title":"Marginalized Communities and Transit Development: A Study of Light Rail Transit Lines in Toronto, Canada and Area","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transit (satellite); Light rail transit; Transit-oriented development; Transport engineering; Rail transit; Light rail; Geography; Regional science; Public transport; Business; Engineering","score_opus":0.03446290362475261,"score_gpt":0.28827105214719995,"score_spread":0.2538081485224473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402186151","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98309255,0.0047036554,0.000015027755,0.00056449615,0.00017492053,0.0006954012,0.000029427056,0.000037705413,0.01068681],"genre_scores_gemma":[0.9983174,0.0003479422,0.00011682173,0.00003431483,0.000026416728,0.000044644294,0.000017857796,0.0000119296865,0.0010826729],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99839276,0.00017790702,0.00051749224,0.00031234286,0.00037054665,0.00022892366],"domain_scores_gemma":[0.9994618,0.00009087535,0.00006997753,0.00020265821,0.00007553102,0.00009914288],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006029683,0.00023790881,0.00055666117,0.00006225629,0.00017404878,0.00009617938,0.00028856084,0.00016274354,0.00041181757],"category_scores_gemma":[0.0000060670586,0.00020717154,0.000035595232,0.00010732509,0.00016473036,0.000099014076,0.00010404368,0.00033949214,9.320456e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012818334,0.00037518353,0.44953606,0.001259339,0.00020983814,0.000043013046,0.54407895,0.0000049669306,0.000014682502,0.00033132904,0.00013628752,0.0038821804],"study_design_scores_gemma":[0.0018502792,0.00007404479,0.57539225,0.0008277846,0.00025772792,5.5320345e-7,0.41169855,0.00004386518,0.0001614086,0.0022698676,0.0065628537,0.0008608204],"about_ca_topic_score_codex":0.99373907,"about_ca_topic_score_gemma":0.9999606,"teacher_disagreement_score":0.13238038,"about_ca_system_score_codex":0.00023259394,"about_ca_system_score_gemma":0.0012918147,"threshold_uncertainty_score":0.84482104},"labels":[],"label_agreement":null},{"id":"W4402189002","doi":"10.32920/26866483","title":"Kudos for Strava Metro: How Planners Can Move from Individual Fitness to Community Wellness","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"","keywords":"Business; Gerontology; Transport engineering; Engineering; Medicine","score_opus":0.0715595098287799,"score_gpt":0.3436649674094762,"score_spread":0.2721054575806963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402189002","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96723783,0.00016080242,0.001456694,0.00825123,0.0026679472,0.0016524757,0.009649508,0.00035302376,0.0085704615],"genre_scores_gemma":[0.9914188,0.0000060668217,0.00086460117,0.00041209508,0.00071312295,0.00023010687,0.0017139707,0.00004097069,0.004600287],"study_design_codex":"qualitative","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9971809,0.00039293114,0.00036918168,0.0007163615,0.0007156664,0.00062495994],"domain_scores_gemma":[0.99792725,0.00058112986,0.00014065219,0.00079133065,0.00014466935,0.0004149853],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0017337215,0.00040397045,0.0006128666,0.00016946453,0.0008031113,0.00091519643,0.0020370528,0.0006315046,0.00051362073],"category_scores_gemma":[0.0001844681,0.00036777844,0.0003153628,0.00033422036,0.00031341953,0.00014045401,0.00076724635,0.0015506668,0.000018959146],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005153104,0.001507864,0.36189166,0.002986319,0.0031987603,0.00006400488,0.417845,0.0005990148,0.00014568609,0.024888823,0.10911969,0.07723786],"study_design_scores_gemma":[0.0012943076,0.0001857381,0.31108242,0.0008160331,0.0015372055,1.0401794e-7,0.20734131,0.00017048091,0.0045516775,0.42318293,0.04632809,0.0035096807],"about_ca_topic_score_codex":0.238472,"about_ca_topic_score_gemma":0.42734194,"teacher_disagreement_score":0.39829412,"about_ca_system_score_codex":0.00026310346,"about_ca_system_score_gemma":0.00085776066,"threshold_uncertainty_score":0.9998774},"labels":[],"label_agreement":null},{"id":"W4402190895","doi":"10.32920/26866483.v1","title":"Kudos for Strava Metro: How Planners Can Move from Individual Fitness to Community Wellness","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"","keywords":"Transport engineering; Business; Gerontology; Engineering; Medicine","score_opus":0.0715595098287799,"score_gpt":0.3436649674094762,"score_spread":0.2721054575806963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402190895","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96723783,0.00016080242,0.001456694,0.00825123,0.0026679472,0.0016524757,0.009649508,0.00035302376,0.0085704615],"genre_scores_gemma":[0.9914188,0.0000060668217,0.00086460117,0.00041209508,0.00071312295,0.00023010687,0.0017139707,0.00004097069,0.004600287],"study_design_codex":"qualitative","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9971809,0.00039293114,0.00036918168,0.0007163615,0.0007156664,0.00062495994],"domain_scores_gemma":[0.99792725,0.00058112986,0.00014065219,0.00079133065,0.00014466935,0.0004149853],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0017337215,0.00040397045,0.0006128666,0.00016946453,0.0008031113,0.00091519643,0.0020370528,0.0006315046,0.00051362073],"category_scores_gemma":[0.0001844681,0.00036777844,0.0003153628,0.00033422036,0.00031341953,0.00014045401,0.00076724635,0.0015506668,0.000018959146],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005153104,0.001507864,0.36189166,0.002986319,0.0031987603,0.00006400488,0.417845,0.0005990148,0.00014568609,0.024888823,0.10911969,0.07723786],"study_design_scores_gemma":[0.0012943076,0.0001857381,0.31108242,0.0008160331,0.0015372055,1.0401794e-7,0.20734131,0.00017048091,0.0045516775,0.42318293,0.04632809,0.0035096807],"about_ca_topic_score_codex":0.238472,"about_ca_topic_score_gemma":0.42734194,"teacher_disagreement_score":0.39829412,"about_ca_system_score_codex":0.00026310346,"about_ca_system_score_gemma":0.00085776066,"threshold_uncertainty_score":0.9998774},"labels":[],"label_agreement":null},{"id":"W4402191287","doi":"10.32920/26866444","title":"Outdoor Fitness Equipment in the City of Toronto: An Examination of the Distribution, Quality, and Funding of Health-Related Public Amenities","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Distribution (mathematics); Quality (philosophy); Business; Public health; Environmental health; Medicine; Nursing","score_opus":0.14996345181979892,"score_gpt":0.3979448298403896,"score_spread":0.24798137802059067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402191287","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9900812,0.0012018826,0.0000855901,0.0023198603,0.00028804582,0.00059676403,0.0002163799,0.000017501361,0.0051928014],"genre_scores_gemma":[0.999556,0.00008935446,0.000011459282,0.000016810567,0.000019951716,0.000019227862,0.00009818817,0.0000035707812,0.00018543207],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969227,0.0011294491,0.00094990747,0.0002469474,0.0005704743,0.0001805577],"domain_scores_gemma":[0.99871194,0.00018151777,0.00058099185,0.00030969488,0.0001818225,0.00003405712],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007771821,0.000111856214,0.00035762016,0.000024738207,0.00015533065,0.00006501016,0.00050586835,0.00015699827,0.00015349813],"category_scores_gemma":[0.0001536351,0.000068134555,0.00008899574,0.00019572914,0.0006346314,0.0001874678,0.0002356487,0.00022726759,6.08237e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012173394,0.00043051704,0.6431629,0.001749058,0.000058576883,2.0322298e-7,0.13670518,0.0000048398647,0.000027212312,0.19876513,0.000031376316,0.019052833],"study_design_scores_gemma":[0.000081530976,0.000020536485,0.9494313,0.00016008975,0.000018166116,3.024436e-8,0.026814604,0.000025835196,0.000059445985,0.023253411,0.00006198812,0.000073058894],"about_ca_topic_score_codex":0.14875674,"about_ca_topic_score_gemma":0.16286051,"teacher_disagreement_score":0.3062684,"about_ca_system_score_codex":0.0002679574,"about_ca_system_score_gemma":0.0004146459,"threshold_uncertainty_score":0.8569118},"labels":[],"label_agreement":null},{"id":"W4402191384","doi":"10.32920/26866444.v1","title":"Outdoor Fitness Equipment in the City of Toronto: An Examination of the Distribution, Quality, and Funding of Health-Related Public Amenities","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Distribution (mathematics); Quality (philosophy); Business; Public health; Environmental health; Medicine; Nursing","score_opus":0.14996345181979892,"score_gpt":0.3979448298403896,"score_spread":0.24798137802059067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402191384","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9900812,0.0012018826,0.0000855901,0.0023198603,0.00028804582,0.00059676403,0.0002163799,0.000017501361,0.0051928014],"genre_scores_gemma":[0.999556,0.00008935446,0.000011459282,0.000016810567,0.000019951716,0.000019227862,0.00009818817,0.0000035707812,0.00018543207],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969227,0.0011294491,0.00094990747,0.0002469474,0.0005704743,0.0001805577],"domain_scores_gemma":[0.99871194,0.00018151777,0.00058099185,0.00030969488,0.0001818225,0.00003405712],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007771821,0.000111856214,0.00035762016,0.000024738207,0.00015533065,0.00006501016,0.00050586835,0.00015699827,0.00015349813],"category_scores_gemma":[0.0001536351,0.000068134555,0.00008899574,0.00019572914,0.0006346314,0.0001874678,0.0002356487,0.00022726759,6.08237e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012173394,0.00043051704,0.6431629,0.001749058,0.000058576883,2.0322298e-7,0.13670518,0.0000048398647,0.000027212312,0.19876513,0.000031376316,0.019052833],"study_design_scores_gemma":[0.000081530976,0.000020536485,0.9494313,0.00016008975,0.000018166116,3.024436e-8,0.026814604,0.000025835196,0.000059445985,0.023253411,0.00006198812,0.000073058894],"about_ca_topic_score_codex":0.14875674,"about_ca_topic_score_gemma":0.16286051,"teacher_disagreement_score":0.3062684,"about_ca_system_score_codex":0.0002679574,"about_ca_system_score_gemma":0.0004146459,"threshold_uncertainty_score":0.8569118},"labels":[],"label_agreement":null},{"id":"W4402219464","doi":"10.32920/26937388","title":"Thinking relationally about built environments and walkability: A study of adult walking behavior in Waterloo, Ontario","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Walkability; Built environment; Psychology; Geography; Civil engineering; Engineering","score_opus":0.024223187012169325,"score_gpt":0.2966282793919571,"score_spread":0.27240509237978777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402219464","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9934696,0.00013782516,0.0000079170195,0.00013570792,0.00034790114,0.0014195847,0.0000112390835,0.000046145262,0.0044240635],"genre_scores_gemma":[0.99565977,0.000019592639,0.00033198425,0.000021334408,0.00005117932,0.00011832246,0.00002266722,0.000015547295,0.0037596165],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99719214,0.00016008435,0.00073097047,0.00078607,0.00085848285,0.00027227457],"domain_scores_gemma":[0.99926287,0.00008227022,0.00016666263,0.00036509702,0.000043178236,0.000079939025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011837153,0.00023327,0.00041548128,0.00015885865,0.00017175039,0.00015577389,0.000443901,0.00032420334,0.0004901601],"category_scores_gemma":[0.00003116905,0.00020668862,0.00010284256,0.00012392335,0.00020833004,0.00015720088,0.00058978325,0.0009035355,0.0000048034335],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015490987,0.00059021194,0.84567076,0.00007101948,0.00003245756,0.000015974636,0.15183602,0.00000985097,0.0000124371345,0.00032402054,0.0000024799442,0.001419248],"study_design_scores_gemma":[0.000277979,0.000044307533,0.9697831,0.00016009981,0.00014415107,7.718481e-8,0.006187719,0.000011704612,0.000013578869,0.02309958,0.0000678653,0.00020981336],"about_ca_topic_score_codex":0.54065377,"about_ca_topic_score_gemma":0.93616086,"teacher_disagreement_score":0.39550713,"about_ca_system_score_codex":0.0005029697,"about_ca_system_score_gemma":0.00034013492,"threshold_uncertainty_score":0.8428517},"labels":[],"label_agreement":null},{"id":"W4402220897","doi":"10.32920/26937388.v1","title":"Thinking relationally about built environments and walkability: A study of adult walking behavior in Waterloo, Ontario","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Walkability; Psychology; Transport engineering; Built environment; Computer science; Geography; Engineering; Civil engineering","score_opus":0.024223187012169325,"score_gpt":0.2966282793919571,"score_spread":0.27240509237978777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402220897","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9934696,0.00013782516,0.0000079170195,0.00013570792,0.00034790114,0.0014195847,0.0000112390835,0.000046145262,0.0044240635],"genre_scores_gemma":[0.99565977,0.000019592639,0.00033198425,0.000021334408,0.00005117932,0.00011832246,0.00002266722,0.000015547295,0.0037596165],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99719214,0.00016008435,0.00073097047,0.00078607,0.00085848285,0.00027227457],"domain_scores_gemma":[0.99926287,0.00008227022,0.00016666263,0.00036509702,0.000043178236,0.000079939025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011837153,0.00023327,0.00041548128,0.00015885865,0.00017175039,0.00015577389,0.000443901,0.00032420334,0.0004901601],"category_scores_gemma":[0.00003116905,0.00020668862,0.00010284256,0.00012392335,0.00020833004,0.00015720088,0.00058978325,0.0009035355,0.0000048034335],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015490987,0.00059021194,0.84567076,0.00007101948,0.00003245756,0.000015974636,0.15183602,0.00000985097,0.0000124371345,0.00032402054,0.0000024799442,0.001419248],"study_design_scores_gemma":[0.000277979,0.000044307533,0.9697831,0.00016009981,0.00014415107,7.718481e-8,0.006187719,0.000011704612,0.000013578869,0.02309958,0.0000678653,0.00020981336],"about_ca_topic_score_codex":0.54065377,"about_ca_topic_score_gemma":0.93616086,"teacher_disagreement_score":0.39550713,"about_ca_system_score_codex":0.0005029697,"about_ca_system_score_gemma":0.00034013492,"threshold_uncertainty_score":0.8428517},"labels":[],"label_agreement":null},{"id":"W4402220971","doi":"10.32920/26932375","title":"Fostering Mobility for People Living with Dementia in Suburban Neighborhoods Through Land Use, Urban Design and Wayfinding","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Dementia; Urban design; Geography; Land use; Walkability; Community design; Psychology; Environmental planning; Transport engineering; Gerontology; Built environment; Medicine; Computer science; Civil engineering; Engineering; Architecture","score_opus":0.07237227424979649,"score_gpt":0.3210070234329264,"score_spread":0.24863474918312994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402220971","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9525822,0.0012255484,0.04025069,0.00025961176,0.00039077914,0.002115357,0.000032629072,0.00020720388,0.0029360105],"genre_scores_gemma":[0.98895854,0.000079410565,0.010036928,0.00003379873,0.00016810838,0.00024709615,0.000016656451,0.000039397146,0.00042009202],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974923,0.00017635131,0.00045584748,0.0009988451,0.00030467633,0.00057199283],"domain_scores_gemma":[0.99861014,0.0007252086,0.00012926586,0.00034545438,0.000075826894,0.00011413498],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0017300546,0.0003345757,0.00051806046,0.0001062376,0.0003315899,0.00075758726,0.00033468104,0.00032045651,0.000094398885],"category_scores_gemma":[0.000118415395,0.00028233766,0.000111323534,0.00030012496,0.00017739127,0.00049993943,0.00068672077,0.00049377914,0.0000012115662],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039164282,0.00007246982,0.97840923,0.0007533602,0.000075322154,0.0000035588419,0.018907502,0.00008990309,0.000012393427,0.0011285293,0.00012715162,0.00038141024],"study_design_scores_gemma":[0.00049548736,0.000102155704,0.9450346,0.0014366683,0.00032975452,4.662604e-7,0.0025267515,0.00195726,0.00010838749,0.046839867,0.00029143246,0.0008771609],"about_ca_topic_score_codex":0.018177038,"about_ca_topic_score_gemma":0.07027785,"teacher_disagreement_score":0.052100807,"about_ca_system_score_codex":0.00017256771,"about_ca_system_score_gemma":0.00037090573,"threshold_uncertainty_score":0.99996287},"labels":[],"label_agreement":null},{"id":"W4402222318","doi":"10.32920/26932375.v1","title":"Fostering Mobility for People Living with Dementia in Suburban Neighborhoods Through Land Use, Urban Design and Wayfinding","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Dementia; Geography; Urban design; Land use; Environmental planning; Transport engineering; Psychology; Gerontology; Medicine; Civil engineering; Engineering; Architecture","score_opus":0.07237227424979649,"score_gpt":0.3210070234329264,"score_spread":0.24863474918312994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402222318","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9525822,0.0012255484,0.04025069,0.00025961176,0.00039077914,0.002115357,0.000032629072,0.00020720388,0.0029360105],"genre_scores_gemma":[0.98895854,0.000079410565,0.010036928,0.00003379873,0.00016810838,0.00024709615,0.000016656451,0.000039397146,0.00042009202],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974923,0.00017635131,0.00045584748,0.0009988451,0.00030467633,0.00057199283],"domain_scores_gemma":[0.99861014,0.0007252086,0.00012926586,0.00034545438,0.000075826894,0.00011413498],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0017300546,0.0003345757,0.00051806046,0.0001062376,0.0003315899,0.00075758726,0.00033468104,0.00032045651,0.000094398885],"category_scores_gemma":[0.000118415395,0.00028233766,0.000111323534,0.00030012496,0.00017739127,0.00049993943,0.00068672077,0.00049377914,0.0000012115662],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039164282,0.00007246982,0.97840923,0.0007533602,0.000075322154,0.0000035588419,0.018907502,0.00008990309,0.000012393427,0.0011285293,0.00012715162,0.00038141024],"study_design_scores_gemma":[0.00049548736,0.000102155704,0.9450346,0.0014366683,0.00032975452,4.662604e-7,0.0025267515,0.00195726,0.00010838749,0.046839867,0.00029143246,0.0008771609],"about_ca_topic_score_codex":0.018177038,"about_ca_topic_score_gemma":0.07027785,"teacher_disagreement_score":0.052100807,"about_ca_system_score_codex":0.00017256771,"about_ca_system_score_gemma":0.00037090573,"threshold_uncertainty_score":0.99996287},"labels":[],"label_agreement":null},{"id":"W4402268992","doi":"10.32920/26866618.v1","title":"Taking a Turn: A Quantitative Analysis of the Travel Habits of Adults Living With Dementia in Regional Waterloo","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Dementia; Geography; Gerontology; Psychology; Regional science; Economic geography; Medicine","score_opus":0.036883933344193556,"score_gpt":0.3132750657282076,"score_spread":0.2763911323840141,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402268992","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99429935,0.0005283737,0.00021956071,0.00034465073,0.00009282101,0.00030723345,0.00003619751,0.00001410836,0.0041577015],"genre_scores_gemma":[0.998875,0.000023959368,0.0008084744,0.00001602673,0.0000180087,0.000016291153,0.000008244843,0.0000074320496,0.00022655532],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981816,0.00017800108,0.00049264927,0.0004063136,0.0005503753,0.00019105048],"domain_scores_gemma":[0.9989189,0.00017543953,0.00044089573,0.00025885677,0.00017290487,0.00003299142],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084573,0.00014873438,0.00047305782,0.00028531326,0.0000689879,0.00003517627,0.000483599,0.00013985224,0.00028213245],"category_scores_gemma":[0.00006495894,0.000087873435,0.0003287904,0.001306518,0.00040194835,0.000066718654,0.00016680991,0.00033850962,4.725879e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031870928,0.00010152643,0.8894314,0.00030761043,0.001058539,0.0000015902328,0.104917906,0.00035146094,0.00004567425,0.0035148615,0.000007254488,0.00023031543],"study_design_scores_gemma":[0.00007402389,0.0000168769,0.9819499,0.0013823534,0.0011315836,1.9646773e-8,0.012572577,0.0012485383,0.00011302135,0.0013865177,0.0000028101208,0.000121775876],"about_ca_topic_score_codex":0.08259692,"about_ca_topic_score_gemma":0.49093035,"teacher_disagreement_score":0.40833342,"about_ca_system_score_codex":0.00005016982,"about_ca_system_score_gemma":0.00036666243,"threshold_uncertainty_score":0.92351216},"labels":[],"label_agreement":null},{"id":"W4402269339","doi":"10.32920/26866618","title":"Taking a Turn: A Quantitative Analysis of the Travel Habits of Adults Living With Dementia in Regional Waterloo","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Dementia; Gerontology; Geography; Economic geography; Psychology; Medicine","score_opus":0.036883933344193556,"score_gpt":0.3132750657282076,"score_spread":0.2763911323840141,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402269339","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99429935,0.0005283737,0.00021956071,0.00034465073,0.00009282101,0.00030723345,0.00003619751,0.00001410836,0.0041577015],"genre_scores_gemma":[0.998875,0.000023959368,0.0008084744,0.00001602673,0.0000180087,0.000016291153,0.000008244843,0.0000074320496,0.00022655532],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981816,0.00017800108,0.00049264927,0.0004063136,0.0005503753,0.00019105048],"domain_scores_gemma":[0.9989189,0.00017543953,0.00044089573,0.00025885677,0.00017290487,0.00003299142],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084573,0.00014873438,0.00047305782,0.00028531326,0.0000689879,0.00003517627,0.000483599,0.00013985224,0.00028213245],"category_scores_gemma":[0.00006495894,0.000087873435,0.0003287904,0.001306518,0.00040194835,0.000066718654,0.00016680991,0.00033850962,4.725879e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031870928,0.00010152643,0.8894314,0.00030761043,0.001058539,0.0000015902328,0.104917906,0.00035146094,0.00004567425,0.0035148615,0.000007254488,0.00023031543],"study_design_scores_gemma":[0.00007402389,0.0000168769,0.9819499,0.0013823534,0.0011315836,1.9646773e-8,0.012572577,0.0012485383,0.00011302135,0.0013865177,0.0000028101208,0.000121775876],"about_ca_topic_score_codex":0.08259692,"about_ca_topic_score_gemma":0.49093035,"teacher_disagreement_score":0.40833342,"about_ca_system_score_codex":0.00005016982,"about_ca_system_score_gemma":0.00036666243,"threshold_uncertainty_score":0.92351216},"labels":[],"label_agreement":null},{"id":"W4402306690","doi":"10.1016/j.tra.2024.104239","title":"Segmenting transit ridership: From crisis to opportunity","year":2024,"lang":"en","type":"article","venue":"Transportation Research Part A Policy and Practice","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Market segmentation; Transit (satellite); Transport engineering; Business; Public transport; Engineering; Marketing","score_opus":0.24599710491220114,"score_gpt":0.5081929464595082,"score_spread":0.262195841547307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402306690","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.68535876,0.0016179357,0.0023177569,0.24651043,0.00034903406,0.0011026985,0.0005409665,0.000410446,0.061791997],"genre_scores_gemma":[0.99408287,0.0007559225,0.00050340756,0.0013336898,0.0007864172,0.000058476333,0.00009484328,0.000018046609,0.00236633],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.9968713,0.0008183019,0.00033212788,0.000482328,0.00092003675,0.0005759134],"domain_scores_gemma":[0.9962365,0.0026208258,0.000037045524,0.00018809777,0.00026959117,0.0006479081],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004947503,0.00012552127,0.00015665565,0.0002866652,0.0008807196,0.0004864093,0.00020130062,0.00012208188,0.0012971482],"category_scores_gemma":[0.0014388062,0.0001270341,0.00006946873,0.0013037234,0.00024184358,0.001558214,0.0000049575915,0.00051456277,0.00009092142],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015774635,0.0006507734,0.023733057,0.00067360204,0.00051995734,0.0005308751,0.6279388,0.00005535177,0.0015527074,0.183456,0.07607656,0.083234854],"study_design_scores_gemma":[0.00015465537,0.0000564444,0.020115606,0.00007691726,0.000070648435,1.8810516e-7,0.024965128,0.000017508573,0.00017139425,0.006116882,0.94807255,0.00018206998],"about_ca_topic_score_codex":0.110666476,"about_ca_topic_score_gemma":0.030525815,"teacher_disagreement_score":0.871996,"about_ca_system_score_codex":0.00007658119,"about_ca_system_score_gemma":0.0008938748,"threshold_uncertainty_score":0.9996158},"labels":[],"label_agreement":null},{"id":"W4402348206","doi":"10.1016/j.jth.2024.101901","title":"Understanding the behavioural determinants of active travel among older adults: A mixed methods study","year":2024,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"The Scarborough Hospital; Hamilton Health Sciences; University of Toronto","funders":"University of Toronto Scarborough","keywords":"Psychology; Gerontology; Developmental psychology; Medicine","score_opus":0.11749326385880138,"score_gpt":0.42992134802587684,"score_spread":0.31242808416707546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402348206","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9872357,0.0007277929,0.009622327,0.00061911903,0.0009982997,0.00060297654,0.000027490181,0.000018271654,0.00014797878],"genre_scores_gemma":[0.99910873,0.00012011293,0.0005093789,0.00003735885,0.00014764731,0.0000049829887,0.000001320257,0.000017119386,0.00005332227],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969853,0.00056667137,0.0011330417,0.00021486048,0.0007181134,0.00038198495],"domain_scores_gemma":[0.99864995,0.00025696892,0.00056777935,0.00015703283,0.00013651417,0.00023174328],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0053909775,0.00015845727,0.00056270376,0.00016409098,0.00041302844,0.000039975457,0.00041686778,0.00008861731,0.00009081036],"category_scores_gemma":[0.000024953843,0.00010272911,0.0003405832,0.0005150095,0.00034046598,0.0005469443,0.00000506798,0.0005519622,3.1746671e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013819092,0.00039125263,0.8094064,0.00014963285,0.00007757576,0.00008181021,0.16310234,0.0000018893043,0.0000066901976,0.000073114905,0.00003027081,0.026540847],"study_design_scores_gemma":[0.00045542786,0.0002965164,0.8667501,0.00048190437,0.0001548611,0.0000030607473,0.13131079,0.000018815103,0.00007329373,0.0003321867,0.00003371631,0.00008932708],"about_ca_topic_score_codex":0.005638227,"about_ca_topic_score_gemma":0.031766634,"teacher_disagreement_score":0.057343706,"about_ca_system_score_codex":0.0003466643,"about_ca_system_score_gemma":0.0010690877,"threshold_uncertainty_score":0.9859011},"labels":[],"label_agreement":null},{"id":"W4402422965","doi":"10.1016/j.heliyon.2024.e37676","title":"Dwelling characteristics and mental well-being in older adults: A systematic review","year":2024,"lang":"en","type":"review","venue":"Heliyon","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Gerontology; Psychology; Mental health; Medicine; Psychotherapist","score_opus":0.02144964146898577,"score_gpt":0.3306161063186314,"score_spread":0.30916646484964566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402422965","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000055070417,0.994886,0.000001944797,0.00005349557,0.00043610597,0.0028567514,0.000023585997,0.00006241504,0.0016246773],"genre_scores_gemma":[0.000119651275,0.9986517,0.000011659886,0.00008576066,0.00018884183,0.00018750447,0.000072732306,0.00003213114,0.0006500117],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.99752915,0.00030939493,0.0010617487,0.0004716902,0.00032041286,0.00030761393],"domain_scores_gemma":[0.9992292,0.00010638483,0.00030042947,0.00023585101,0.00002862412,0.00009952817],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011766339,0.00030934977,0.001961117,0.00012285639,0.00013066277,0.00013607935,0.00026447407,0.00022539705,0.00012439712],"category_scores_gemma":[0.00009623359,0.00022950696,0.0002747989,0.0004641666,0.000082912666,0.00013510894,0.000040277155,0.00040461065,0.00017063439],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[5.658017e-7,0.000020055035,0.000095419295,0.9836157,0.0000230985,0.000029184717,0.0016456796,3.0686761e-10,3.1705691e-9,0.00008935484,0.00002599799,0.014454957],"study_design_scores_gemma":[0.000034893943,0.0000037670652,0.000011473699,0.8627264,0.0011012686,0.0000016937777,0.00014093706,7.877165e-7,1.1973207e-8,0.0000152359335,0.13574988,0.0002136531],"about_ca_topic_score_codex":0.000074498974,"about_ca_topic_score_gemma":0.00029409988,"teacher_disagreement_score":0.13572387,"about_ca_system_score_codex":0.00017470536,"about_ca_system_score_gemma":0.00014781138,"threshold_uncertainty_score":0.9359022},"labels":[],"label_agreement":null},{"id":"W4402438990","doi":"10.11159/icmie24.131","title":"Analysis Of Urban Bus Routes In Tegucigalpa, Honduras Through Operational Research","year":2024,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Mechanical, Chemical, and Material Engineering","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Transport engineering; Computer science; Geography; Engineering","score_opus":0.024664605046398374,"score_gpt":0.30945295585817323,"score_spread":0.28478835081177484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402438990","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99787265,0.000053211235,7.490423e-7,0.00054935785,0.00045142887,0.00018673869,0.000028052451,0.000046041212,0.0008117969],"genre_scores_gemma":[0.99919546,0.00004968983,0.00021136795,0.0000141636,0.00017049491,0.00002577521,0.0000040882574,0.000012380297,0.0003165829],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99858403,0.000012627924,0.0003677289,0.00031121584,0.00045888312,0.00026551035],"domain_scores_gemma":[0.999481,0.00016266404,0.000053156386,0.000092350485,0.00015198659,0.000058809783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080846116,0.00012243527,0.00032129235,0.00025404934,0.00009071897,0.00016932351,0.00039476628,0.00009447401,0.00010885531],"category_scores_gemma":[0.00021039064,0.0000937156,0.00010470708,0.0015448701,0.00021385109,0.00027985405,0.000093148075,0.00024045851,5.0825713e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006888545,0.000074761105,0.0025383574,0.0003073299,0.00015144076,9.361559e-7,0.00039149605,0.000042330634,0.88083464,0.11508628,0.00041774046,0.00008579354],"study_design_scores_gemma":[0.00014380504,0.000018141638,0.0006362891,0.00042239542,0.00012263622,1.1116081e-7,0.0002620388,0.0017632649,0.9925759,0.0015719198,0.0023364117,0.00014711893],"about_ca_topic_score_codex":0.00041269913,"about_ca_topic_score_gemma":0.000118845084,"teacher_disagreement_score":0.113514364,"about_ca_system_score_codex":0.00006239055,"about_ca_system_score_gemma":0.00004838797,"threshold_uncertainty_score":0.38216114},"labels":[],"label_agreement":null},{"id":"W4402491669","doi":"10.1186/s12944-024-02267-x","title":"The association between neighbourhood walkability and blood lipids: a Canadian population study","year":2024,"lang":"en","type":"article","venue":"Lipids in Health and Disease","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ottawa Hospital; Health Canada","funders":"Health Canada; Government of Canada; Public Health Agency; Public Health Agency of Canada","keywords":"Walkability; Interquartile range; Lipidology; Medicine; Clinical nutrition; Blood lipids; Apolipoprotein B; Cholesterol; Demography; Internal medicine; Cross-sectional study; Population; Confidence interval; Environmental health; Gerontology; Physical activity; Physical therapy; Pathology","score_opus":0.017480473574565586,"score_gpt":0.3206502347562456,"score_spread":0.30316976118168004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402491669","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9867453,0.0027693755,8.733218e-7,0.008976796,0.0003271346,0.0006697313,0.00005776319,0.00004625256,0.0004067673],"genre_scores_gemma":[0.9988368,0.00018205128,0.0000049200594,0.00023461615,0.000524813,0.00003091607,0.000018600753,0.0000052809564,0.00016199237],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984474,0.00034013268,0.00029925915,0.00029063912,0.00023896563,0.0003835834],"domain_scores_gemma":[0.99826074,0.00041148943,0.00004944876,0.000110045825,0.00002713528,0.0011411479],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023626524,0.00008199768,0.00013185662,0.00006546811,0.0010217971,0.00026826732,0.000081056,0.000056247583,0.000017041953],"category_scores_gemma":[0.00063059595,0.00006477004,0.000026820728,0.0002919317,0.000060854363,0.00023162283,0.000011686546,0.00018291372,0.0000013594483],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011127666,0.000048065587,0.9809685,0.00009530411,0.00001055122,0.0000012610117,0.004683872,1.5552163e-7,1.7710528e-8,0.001225745,0.000053686803,0.012901714],"study_design_scores_gemma":[0.00018516375,0.00004152632,0.98706096,0.00003065674,0.000034920733,9.679359e-9,0.0019416593,0.000022221802,1.7565151e-8,0.00800283,0.002610602,0.00006940207],"about_ca_topic_score_codex":0.53969026,"about_ca_topic_score_gemma":0.7327588,"teacher_disagreement_score":0.19306853,"about_ca_system_score_codex":0.00029731743,"about_ca_system_score_gemma":0.0011100273,"threshold_uncertainty_score":0.78589404},"labels":[],"label_agreement":null},{"id":"W4402509214","doi":"10.1016/j.healthplace.2024.103173","title":"Using confirmatory principal component analysis to uncover the interplay between social and spatial factors among older adults: An exploratory study","year":2024,"lang":"en","type":"article","venue":"Health & Place","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Université de Montréal","funders":"","keywords":"Principal component analysis; Confirmatory factor analysis; Exploratory analysis; Psychology; Exploratory research; Component (thermodynamics); Geography; Structural equation modeling; Data science; Sociology; Computer science; Statistics; Social science; Mathematics","score_opus":0.06285482410166474,"score_gpt":0.3981945017877373,"score_spread":0.33533967768607253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402509214","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965488,0.00015697369,0.0013022133,0.00050186703,0.00033653752,0.00093497447,0.000071662354,0.00010779189,0.000039190167],"genre_scores_gemma":[0.99928993,0.0000035967585,0.000018396184,0.00020091323,0.00040218217,0.00001846719,0.00002313954,0.000014295521,0.000029101959],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975576,0.0006676356,0.00040839182,0.00045832177,0.00050821865,0.00039987365],"domain_scores_gemma":[0.9991421,0.00019036801,0.000104379906,0.00018136334,0.000055048065,0.00032674253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016175393,0.00016936158,0.00035351608,0.00014054067,0.001054345,0.00021910582,0.00023708276,0.00008086486,0.000097515695],"category_scores_gemma":[0.000019616804,0.00012717515,0.0000897449,0.00059650285,0.0002222386,0.0003875876,0.00005564856,0.00027822657,0.000004005379],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021749644,0.00007131671,0.7521848,0.00003662998,0.00011090747,0.0000037452128,0.24660684,0.000011984583,6.8043283e-7,0.000014121831,0.00006616787,0.00087103475],"study_design_scores_gemma":[0.00017761344,0.00006353412,0.926877,0.000037944923,0.0001669123,2.8502791e-8,0.0707429,0.0004325775,0.0000030502338,0.0000057841307,0.0013488583,0.00014380354],"about_ca_topic_score_codex":0.05293753,"about_ca_topic_score_gemma":0.26715508,"teacher_disagreement_score":0.21421754,"about_ca_system_score_codex":0.00031304028,"about_ca_system_score_gemma":0.00046911841,"threshold_uncertainty_score":0.953369},"labels":[],"label_agreement":null},{"id":"W4402533912","doi":"10.1016/j.tra.2024.104256","title":"Modelling changes in accessibility and property values associated with the King Street Transit Priority Corridor project in Toronto","year":2024,"lang":"en","type":"article","venue":"Transportation Research Part A Policy and Practice","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Transport engineering; Transit (satellite); Light rail transit; Property value; Public transport; Engineering; Civil engineering; Business; Finance; Real estate","score_opus":0.17752978223408028,"score_gpt":0.46953980745671375,"score_spread":0.2920100252226335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402533912","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98001933,0.0013018852,0.0001302171,0.01318077,0.00003261505,0.0012860129,0.000055047283,0.000063643514,0.0039304984],"genre_scores_gemma":[0.9978062,0.0013635017,0.000069885195,0.00009873887,0.00012159517,0.00012537836,0.000023817156,0.0000118912585,0.00037902253],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99672294,0.0013672725,0.0002664864,0.0004726076,0.00067777827,0.0004928947],"domain_scores_gemma":[0.9972288,0.002299139,0.00005754034,0.00013739652,0.00018174028,0.00009539619],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00825235,0.00013492972,0.00019247385,0.00014085665,0.00048978726,0.0003226004,0.0001666204,0.00012374202,0.000032598185],"category_scores_gemma":[0.00056911085,0.000082171995,0.000022822602,0.0010532349,0.0005309013,0.0018701716,0.0000055972573,0.0005644227,3.741963e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020939824,0.00072654407,0.4997072,0.00086517306,0.00012906348,0.00020035496,0.4661128,0.00057572254,0.000100028235,0.011495678,0.0001919876,0.017801488],"study_design_scores_gemma":[0.001738691,0.0004518301,0.816702,0.0012480009,0.0001511569,0.0000010536953,0.11395116,0.013461701,0.00008800198,0.0032378524,0.048288386,0.0006801652],"about_ca_topic_score_codex":0.42824093,"about_ca_topic_score_gemma":0.89287806,"teacher_disagreement_score":0.46463716,"about_ca_system_score_codex":0.00026466462,"about_ca_system_score_gemma":0.0008481967,"threshold_uncertainty_score":0.5755665},"labels":[],"label_agreement":null},{"id":"W4402606189","doi":"10.1002/9781118786352.wbieg2219","title":"15‐Minute City","year":2024,"lang":"en","type":"other","venue":"International Encyclopedia of Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Geography","score_opus":0.01173920099273923,"score_gpt":0.29239337133039073,"score_spread":0.2806541703376515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402606189","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00075859483,0.0021108815,0.00004075205,0.00047084392,0.004463079,0.00019396824,0.0003720426,0.0002250605,0.9913648],"genre_scores_gemma":[0.018219652,0.0029256651,0.00040324614,0.00006586647,0.0020620604,0.000021976743,0.000099612065,0.0001363488,0.9760656],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984045,0.00003119957,0.0002962166,0.00036475027,0.00070314156,0.00020020829],"domain_scores_gemma":[0.99937594,0.000034336863,0.00020215406,0.00020613948,0.00009213835,0.00008926898],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00023394682,0.0001788317,0.0002378479,0.0005677889,0.00003526538,0.000043625147,0.00068541226,0.00026325922,0.01616738],"category_scores_gemma":[0.000043264237,0.00017280845,0.00034357584,0.00030331285,0.0004202283,0.00009080887,0.00004802279,0.00021730622,0.00022974201],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008517994,0.00010202651,0.24348043,0.00007694398,0.0002902649,0.000017658702,0.0006253091,9.587616e-8,5.684685e-7,0.0038477397,0.7479815,0.0035689382],"study_design_scores_gemma":[0.00007629051,0.00000764473,0.013282254,0.00015984186,0.000053785734,9.021107e-8,0.00006363197,4.2476304e-7,0.0000013910878,0.0066997553,0.97948515,0.00016975778],"about_ca_topic_score_codex":0.012357996,"about_ca_topic_score_gemma":0.008543599,"teacher_disagreement_score":0.23150364,"about_ca_system_score_codex":0.000024362635,"about_ca_system_score_gemma":0.00011291951,"threshold_uncertainty_score":0.9942188},"labels":[],"label_agreement":null},{"id":"W4402664700","doi":"10.1007/s10640-024-00917-3","title":"Dreaming of Blue Skies: Evidence on Air Pollution and the Mobility Aspirations of Young People in Beijing from Online Search Behavior","year":2024,"lang":"en","type":"article","venue":"Environmental and Resource Economics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; National Natural Science Foundation of China","keywords":"Beijing; Air pollution; Pollution; Advertising; Environmental economics; Economics; Environmental science; Natural resource economics; Business; Geography; China; Chemistry; Ecology","score_opus":0.023129054384648382,"score_gpt":0.26191333760045604,"score_spread":0.23878428321580766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402664700","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99828315,0.00085283956,0.000008812242,0.00039105187,0.00003273035,0.00020640578,0.000119317854,0.0000052630025,0.000100439625],"genre_scores_gemma":[0.99940246,0.00042287994,0.000031395037,0.000018093828,0.000040734845,0.000006641429,0.000013302605,0.0000037302818,0.00006076774],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99937433,0.000071624934,0.00021277751,0.00018354575,0.000071466166,0.00008625175],"domain_scores_gemma":[0.9996514,0.00018798019,0.00003570535,0.0000945354,0.000001365968,0.000029019206],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048228237,0.00005632186,0.00012458312,0.00003076742,0.00013026269,0.000018458417,0.00007821393,0.00004973514,0.000038552407],"category_scores_gemma":[0.000012530424,0.00004427529,0.00003627291,0.000039948216,0.0006163784,0.00014340288,0.00003766616,0.000110880705,7.333111e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048744692,0.00015736453,0.9682858,0.000020721931,0.00000954017,4.1023105e-7,0.025990415,0.00056402443,0.0008595725,0.00036470877,9.582916e-7,0.0036977152],"study_design_scores_gemma":[0.00016684264,0.000024902909,0.9859642,0.00005307702,0.000020313386,1.1767561e-7,0.01229448,0.0009024202,0.0003315103,0.00011250559,0.00008106917,0.000048588354],"about_ca_topic_score_codex":0.0052650454,"about_ca_topic_score_gemma":0.012646884,"teacher_disagreement_score":0.017678348,"about_ca_system_score_codex":0.00007424569,"about_ca_system_score_gemma":0.000019730116,"threshold_uncertainty_score":0.7959209},"labels":[],"label_agreement":null},{"id":"W4402704755","doi":"10.3390/su16188076","title":"A Megacities Review: Comparing Indicator-Based Evaluations of Sustainable Development and Urban Resilience","year":2024,"lang":"en","type":"article","venue":"Sustainability","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"State University of New York; Edna Bailey Sussman Foundation","keywords":"Megacity; Sustainable development; Resilience (materials science); Sustainability; Urban resilience; Environmental resource management; Environmental planning; Urbanization; Geography; Human settlement; Urban planning; Political science; Economic growth; Environmental science; Economics; Civil engineering; Engineering; Economy; Ecology","score_opus":0.02183276592842601,"score_gpt":0.343670743349171,"score_spread":0.321837977420745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402704755","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9714483,0.020612119,0.000701604,0.0021777134,0.000059252536,0.0011525785,0.0000035642543,0.00013480947,0.003710055],"genre_scores_gemma":[0.99827534,0.000085065934,0.00026212833,0.00005351865,0.00002674461,0.000100970195,0.000007790737,0.0000067807077,0.0011816495],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979419,0.0003241028,0.000438598,0.00039165746,0.00050157105,0.00040214922],"domain_scores_gemma":[0.99857324,0.0002868692,0.000078228324,0.00027425258,0.00066190446,0.00012552494],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004330223,0.0001225492,0.00026891075,0.0001308011,0.000604466,0.0000876126,0.00023870937,0.000064833024,0.00012045386],"category_scores_gemma":[0.0015466948,0.000113709946,0.0000669974,0.0006962597,0.0010352168,0.00040020345,0.000050476563,0.00017962069,0.0000016871066],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020793124,0.000120005,0.88290733,0.010791578,0.000019621884,0.000018119905,0.022648834,0.000013134229,0.0000032209862,0.07804322,0.00096080004,0.0044533336],"study_design_scores_gemma":[0.0002863371,0.000056728335,0.77087307,0.00094171474,0.00013161106,2.1842546e-7,0.05185582,0.00024264227,0.00059189915,0.03808542,0.13649149,0.00044304572],"about_ca_topic_score_codex":0.0013948627,"about_ca_topic_score_gemma":0.0006311097,"teacher_disagreement_score":0.1355307,"about_ca_system_score_codex":0.00081362977,"about_ca_system_score_gemma":0.00459387,"threshold_uncertainty_score":0.8149329},"labels":[],"label_agreement":null},{"id":"W4402711146","doi":"10.2139/ssrn.4963332","title":"E-Bikes and Travel Behavior Change: Systematic Review of Experimental Studies with Meta-Analyses","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Meta-analysis; Psychology; Physical medicine and rehabilitation; Medicine; Internal medicine","score_opus":0.20769745944118365,"score_gpt":0.4515599312421512,"score_spread":0.24386247180096757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402711146","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07819514,0.9192048,0.000022819813,0.0005750039,0.00016405893,0.0016177257,0.000018836234,0.000022713893,0.00017892086],"genre_scores_gemma":[0.7744816,0.22406223,0.000035037672,0.00005319197,0.0001627568,0.00054587726,0.0000048988754,0.00001975608,0.0006346727],"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","domain_scores_codex":[0.9966243,0.00041846387,0.00083270855,0.00039562763,0.0007642845,0.0009646539],"domain_scores_gemma":[0.9986139,0.00007687971,0.00070071005,0.0002661684,0.0002504951,0.00009186219],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044171046,0.00033592124,0.001956003,0.00013116248,0.00024215442,0.00009492015,0.00042272607,0.00012247803,0.00005062467],"category_scores_gemma":[0.00008316838,0.0001954252,0.00063441263,0.00021115792,0.00037536627,0.00014546182,0.00011868966,0.0017275987,0.000002243254],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007701311,0.0007708193,0.0037310885,0.8467834,0.07614354,0.0001032999,0.038383655,6.872874e-7,0.00026216338,0.033062983,0.00010304816,0.0005782897],"study_design_scores_gemma":[0.00077162526,0.001069132,0.0010251446,0.29149014,0.38314688,0.00019246919,0.2158335,0.000003833528,0.0013091612,0.10315367,0.00004001871,0.0019644322],"about_ca_topic_score_codex":0.00076760777,"about_ca_topic_score_gemma":0.0045662033,"teacher_disagreement_score":0.69628644,"about_ca_system_score_codex":0.0005786979,"about_ca_system_score_gemma":0.0018231903,"threshold_uncertainty_score":0.79692084},"labels":[],"label_agreement":null},{"id":"W4402840420","doi":"10.1155/2024/6343594","title":"Evaluation of Spatiotemporal Transit Accessibility: Weighted Indexing Using the CRITIC‐MCDM Approach and Performance Gap Analysis","year":2024,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Multiple-criteria decision analysis; Search engine indexing; Computer science; Transit (satellite); Transport engineering; Data mining; Operations research; Engineering; Public transport; Artificial intelligence","score_opus":0.06265333075396015,"score_gpt":0.36756304917895216,"score_spread":0.30490971842499204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402840420","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9704472,0.0018354103,0.0268928,0.00015625045,0.00019736042,0.00026110976,0.000011459738,0.0000149529415,0.00018347114],"genre_scores_gemma":[0.9963144,0.00015882216,0.0033677216,0.000009365309,0.00011288068,0.0000036170318,0.000017665809,0.000008657654,0.000006892434],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99742705,0.00023296053,0.0007644371,0.00020214217,0.0012167935,0.00015663248],"domain_scores_gemma":[0.9985462,0.000099400044,0.00034530016,0.0001160687,0.000825791,0.00006723976],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040306696,0.00011500609,0.00030209185,0.00027582247,0.00020739157,0.00007559902,0.0001626932,0.00008205389,0.000048247093],"category_scores_gemma":[0.000038926548,0.00008404853,0.00020410119,0.0012685499,0.0002275491,0.0016871993,0.0000011642007,0.00022950258,6.9524916e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037674393,0.00025950748,0.68869406,0.0006393096,0.0010903988,0.000008641928,0.09518133,0.08543567,0.0028707609,0.0009246161,0.000002047288,0.12451691],"study_design_scores_gemma":[0.00054333167,0.00006418698,0.9408497,0.00014734555,0.0040767468,7.991726e-7,0.0054552923,0.044953056,0.00085974706,0.002866312,0.000048411886,0.00013507076],"about_ca_topic_score_codex":0.00017969044,"about_ca_topic_score_gemma":0.00085884565,"teacher_disagreement_score":0.25215563,"about_ca_system_score_codex":0.00011268173,"about_ca_system_score_gemma":0.00043120564,"threshold_uncertainty_score":0.34273994},"labels":[],"label_agreement":null},{"id":"W4402900896","doi":"10.1016/j.tra.2024.104261","title":"Perceived accessibility and self-rated health: Examining subjective well-being in the suburbs of Scarborough, Canada","year":2024,"lang":"en","type":"article","venue":"Transportation Research Part A Policy and Practice","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Self-rated health; Occupational safety and health; Transport engineering; Forensic engineering; Psychology; Environmental health; Engineering; Gerontology; Political science; Medicine","score_opus":0.09662468291116273,"score_gpt":0.45381737855658116,"score_spread":0.35719269564541845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402900896","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9738345,0.00076423126,0.000009189075,0.013762144,0.000051950596,0.00055490003,0.000031877706,0.000032026575,0.010959167],"genre_scores_gemma":[0.9980367,0.0013104156,0.000054744964,0.00033241362,0.00011996617,0.000027411892,0.000021079788,0.0000079644815,0.00008934276],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.995887,0.0021248444,0.0003981466,0.00037451598,0.000775068,0.00044044308],"domain_scores_gemma":[0.99425536,0.0051365853,0.00008371425,0.0001532939,0.00022720144,0.00014384938],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00835345,0.00010589055,0.00018586415,0.00016104686,0.00056487176,0.00017046698,0.00018629566,0.00007613838,0.000041440475],"category_scores_gemma":[0.0009088066,0.00008558408,0.000020830645,0.0014402885,0.00040336445,0.0009983631,0.0000052900027,0.00051847124,6.2537276e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031597115,0.00022807748,0.5236186,0.0006801357,0.00007659696,0.00009356294,0.44399673,0.00000829889,0.00010646161,0.026567778,0.00039145563,0.003916332],"study_design_scores_gemma":[0.0001915613,0.00006788426,0.9521538,0.00010228224,0.000019711984,6.0847407e-7,0.026555456,0.000069439775,0.000026677388,0.0015859746,0.019134466,0.0000921373],"about_ca_topic_score_codex":0.92207265,"about_ca_topic_score_gemma":0.9387055,"teacher_disagreement_score":0.4285352,"about_ca_system_score_codex":0.00017455463,"about_ca_system_score_gemma":0.0034238028,"threshold_uncertainty_score":0.6073679},"labels":[],"label_agreement":null},{"id":"W4402903195","doi":"10.1007/978-3-031-66413-7_5","title":"Cohort Studies and Context: Infrastructure to Support Cancer Prevention","year":2024,"lang":"en","type":"book-chapter","venue":"Global perspectives on health geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University Health Centre; Canadian Cancer Society; Public Health Ontario; University of Toronto; University of British Columbia","funders":"","keywords":"Cohort; Context (archaeology); Medicine; Environmental health; Cohort study; Geography; Internal medicine; Archaeology","score_opus":0.026902962873902463,"score_gpt":0.3849622472241002,"score_spread":0.35805928435019774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402903195","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.031160943,0.2635277,0.000020821964,0.021021567,0.003477361,0.005367521,0.002740724,0.0006131974,0.6720702],"genre_scores_gemma":[0.7706095,0.114598766,0.00023011335,0.004867713,0.0021627266,0.00026136843,0.00010459185,0.0000951037,0.10707013],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9973106,0.000051216502,0.00043236755,0.0010515532,0.00063831214,0.0005159817],"domain_scores_gemma":[0.9987506,0.000039429782,0.00021518569,0.0002632965,0.00029808647,0.00043335304],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005196427,0.00041341165,0.00069380656,0.00023011402,0.00057328225,0.00010937403,0.0002277781,0.00028890005,0.00041875703],"category_scores_gemma":[0.000026513067,0.00037635947,0.00030084845,0.00025016116,0.00075973297,0.00013132945,0.00006162337,0.0004383801,0.000035673092],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022102996,0.000070245354,0.21474454,0.0008475105,0.0017880627,0.00002793443,0.037441324,0.000003574721,8.40629e-8,0.60521996,0.038415935,0.1012198],"study_design_scores_gemma":[0.00026720527,0.00074006803,0.21468823,0.0011644249,0.00028868232,8.191904e-7,0.02277622,1.7235178e-7,1.3922639e-7,0.33169496,0.42775416,0.00062492385],"about_ca_topic_score_codex":0.0054419423,"about_ca_topic_score_gemma":0.03205088,"teacher_disagreement_score":0.73944855,"about_ca_system_score_codex":0.0010364783,"about_ca_system_score_gemma":0.00068542745,"threshold_uncertainty_score":0.9998688},"labels":[],"label_agreement":null},{"id":"W4402910601","doi":"10.1016/s2214-109x(24)00287-0","title":"Assessing the built environment through photographs and its association with obesity in 21 countries: the PURE Study","year":2024,"lang":"en","type":"article","venue":"The Lancet Global Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University; Population Health Research Institute; Simon Fraser University; Hamilton Health Sciences; University of Ottawa","funders":"Faculty of Community and Health Sciences, University of the Western Cape; Philippine Council for Health Research and Development; Medical Research Council; Uniwersytet Medyczny im. Piastów Slaskich we Wroclawiu; Universiti Kebangsaan Malaysia; Universidad de La Frontera; Public Health Agency; Saudi Heart Association; AFA Försäkring; Vetenskapsrådet; King Saud University; International Development Research Centre; Indian Council of Medical Research; Universiti Teknologi MARA; National Research Foundation; North-West University; Public Health Agency of Canada; Dairy Farmers of Canada; Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS)","keywords":"Association (psychology); Environmental health; Obesity; Geography; Medicine; Psychology; Internal medicine","score_opus":0.04015742615235128,"score_gpt":0.3855639501213942,"score_spread":0.3454065239690429,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402910601","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95512694,0.0048734215,0.0000373695,0.036903,0.00015912905,0.0009457099,0.000034686076,0.00005221261,0.0018675093],"genre_scores_gemma":[0.99668133,0.0013307672,0.000010744649,0.0016434921,0.00024573784,0.000027987904,0.00000221877,0.0000041641106,0.000053551896],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980177,0.0006033793,0.00018766806,0.00023619794,0.0005619765,0.00039305186],"domain_scores_gemma":[0.99937695,0.0002443181,0.00010491495,0.00021689001,0.00001860452,0.000038327173],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003947689,0.00010288796,0.00019769874,0.0000069292473,0.001140563,0.00037407852,0.00033638303,0.000047355847,0.000024632209],"category_scores_gemma":[0.000024061084,0.000045389108,0.000026747672,0.00042568476,0.000192007,0.00031753856,0.000032311866,0.00027720677,0.0000059028916],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014594428,0.00006912804,0.96989965,0.000025455996,0.000026075788,0.0000027409174,0.025877971,0.0000075943212,2.2779034e-7,0.0029653946,0.00049874716,0.00061243493],"study_design_scores_gemma":[0.00020600997,0.00005011315,0.9675119,0.000048926344,0.000026582642,3.102044e-7,0.016809775,0.000041756466,0.0000010878108,0.0047579985,0.010481251,0.000064324944],"about_ca_topic_score_codex":0.015406611,"about_ca_topic_score_gemma":0.056261085,"teacher_disagreement_score":0.041554376,"about_ca_system_score_codex":0.00054062216,"about_ca_system_score_gemma":0.00032132774,"threshold_uncertainty_score":0.9911499},"labels":[],"label_agreement":null},{"id":"W4402938335","doi":"10.1155/2024/5416014","title":"Bilevel Optimization of Regular Bus‐Subway‐Shared Bicycle Cooperative Operation considering Dual Uncertainties","year":2024,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Natural Science Foundation of Jiangxi Province; National Natural Science Foundation of China","keywords":"Bilevel optimization; Dual (grammatical number); Computer science; Automotive engineering; Transport engineering; Engineering; Optimization problem; Algorithm","score_opus":0.022434098397613397,"score_gpt":0.3036206337911963,"score_spread":0.2811865353935829,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402938335","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9309526,0.0010984864,0.06619919,0.000531402,0.00072489155,0.00024284048,0.000043334257,0.000044276396,0.00016296067],"genre_scores_gemma":[0.9847774,0.00028610206,0.014545206,0.000019451152,0.00017986276,0.000004717595,0.00006307349,0.000014682622,0.0001094994],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99838305,0.000075923,0.0007517863,0.00017136525,0.00046170322,0.00015615577],"domain_scores_gemma":[0.9988351,0.000104129474,0.00029980464,0.00007925784,0.00060548796,0.00007620856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051013415,0.00012099287,0.00026158255,0.00018472408,0.00018475772,0.000086689455,0.00010204627,0.00008806597,0.00023532363],"category_scores_gemma":[0.000075566764,0.00010863589,0.00012802571,0.00044158255,0.00017593896,0.002004967,0.0000013047033,0.00016470834,0.0000011435776],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018445902,0.000079851896,0.008521732,0.00014543346,0.000084504754,0.000041828443,0.034327053,0.93877095,0.010535223,0.00355276,0.00004802976,0.0037081593],"study_design_scores_gemma":[0.0075814766,0.0018320705,0.69955355,0.0049592187,0.0014275616,0.00002021151,0.10903641,0.021130962,0.11226081,0.027216125,0.0127814915,0.0022001332],"about_ca_topic_score_codex":0.00013027123,"about_ca_topic_score_gemma":0.0008109125,"teacher_disagreement_score":0.91764003,"about_ca_system_score_codex":0.00009257988,"about_ca_system_score_gemma":0.00038281662,"threshold_uncertainty_score":0.4430043},"labels":[],"label_agreement":null},{"id":"W4403008336","doi":"10.1080/02673037.2024.2409314","title":"Differences and similarities in student residential mobility during the COVID-19 pandemic in Temuco and Montréal","year":2024,"lang":"en","type":"article","venue":"Housing Studies","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Geography; Statistics; Mathematics; Medicine; Virology","score_opus":0.06565895877338959,"score_gpt":0.37453026201673306,"score_spread":0.30887130324334344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403008336","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9551306,0.042645376,0.0000028408697,0.0016481791,0.00016230208,0.00023012985,0.0000047944886,0.00007001135,0.00010580777],"genre_scores_gemma":[0.994052,0.005666094,0.0000065464974,0.00006224458,0.00008326778,0.000024529501,1.8961704e-7,0.00000447695,0.00010063842],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988369,0.00018088677,0.00023111646,0.00030134188,0.00022515056,0.00022464115],"domain_scores_gemma":[0.9993633,0.00046787199,0.000026068252,0.00008171681,0.00001784337,0.000043224944],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010599899,0.00010465484,0.00021122108,0.00007463663,0.00060249295,0.00019241407,0.000100640515,0.00004742153,0.0000054312936],"category_scores_gemma":[0.00020503906,0.00007124249,0.000023759212,0.00021124289,0.0009067503,0.0002006673,0.00009730773,0.00017181892,2.2402665e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000143425095,0.000021119547,0.9215375,0.00016489404,0.000019239284,0.000027012142,0.077732466,0.0000044391218,0.000010909105,0.00012655661,0.000016329206,0.00032517256],"study_design_scores_gemma":[0.0001684479,0.0000079459915,0.94009644,0.00007850027,0.000015263178,4.8394816e-7,0.055965092,0.0000111209565,0.0000020254004,0.003392012,0.00017928147,0.00008341686],"about_ca_topic_score_codex":0.02409153,"about_ca_topic_score_gemma":0.48040745,"teacher_disagreement_score":0.45631593,"about_ca_system_score_codex":0.00018144581,"about_ca_system_score_gemma":0.00007720638,"threshold_uncertainty_score":0.98240715},"labels":[],"label_agreement":null},{"id":"W4403039683","doi":"10.1016/j.jth.2024.101923","title":"Deciphering the character of public transport participation in subjective well-being: Evidence from Hangzhou, China","year":2024,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"China; Character (mathematics); Political science; Geography; Economic geography; History; Law","score_opus":0.05458544017398994,"score_gpt":0.3680721525009264,"score_spread":0.3134867123269365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403039683","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98242503,0.003511682,0.0024587528,0.0101088295,0.0007194396,0.00031160374,0.000014490307,0.00002737446,0.0004227661],"genre_scores_gemma":[0.99763954,0.001582306,0.0001470345,0.00013377013,0.00041138043,0.0000076645865,0.000007508649,0.000017277227,0.000053541175],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968822,0.00028535895,0.0013097547,0.00025521463,0.0008064014,0.00046107374],"domain_scores_gemma":[0.99867636,0.00028442833,0.00045873952,0.00018860528,0.00014908615,0.00024276553],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004823099,0.00015928585,0.00048797973,0.00018018663,0.00021612518,0.00004588622,0.00045424807,0.000107832566,0.00032969468],"category_scores_gemma":[0.0000534745,0.00011414888,0.00028192883,0.0007993256,0.000223912,0.0013877574,0.0000033690867,0.0005931339,0.0000028729244],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009262467,0.0001425245,0.91264856,0.000107383756,0.00004312045,0.000047470778,0.07989746,0.00002913518,0.00011398603,0.0002995572,0.000012720303,0.006565481],"study_design_scores_gemma":[0.00020649332,0.00010096324,0.9941169,0.00093264936,0.000055690096,9.324118e-7,0.0011329326,0.00004116865,0.00018516893,0.0013114123,0.001811221,0.0001044795],"about_ca_topic_score_codex":0.014021018,"about_ca_topic_score_gemma":0.05013145,"teacher_disagreement_score":0.08146835,"about_ca_system_score_codex":0.000269454,"about_ca_system_score_gemma":0.0015632007,"threshold_uncertainty_score":0.9925447},"labels":[],"label_agreement":null},{"id":"W4403054907","doi":"10.1016/j.jtrangeo.2024.104010","title":"Exploring the geographical equity-efficiency tradeoff in cycling infrastructure planning","year":2024,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of New Brunswick; University of Toronto","funders":"","keywords":"Cycling; Equity (law); Transport engineering; Business; Transport infrastructure; Environmental planning; Geography; Engineering; Political science","score_opus":0.06095218880523193,"score_gpt":0.3327990602359682,"score_spread":0.27184687143073627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403054907","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9900071,0.0036647955,0.001147431,0.0015037779,0.0015713421,0.00016438306,0.000007447112,0.00006409058,0.0018696476],"genre_scores_gemma":[0.99834365,0.0007231026,0.0002167722,0.00007641991,0.0006087262,0.0000064887267,0.0000024325045,0.000016248405,0.000006139411],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972268,0.00011603555,0.0008873994,0.0002642713,0.0009564206,0.00054909295],"domain_scores_gemma":[0.99917775,0.00022575704,0.00016270237,0.00016143885,0.000082539154,0.00018982221],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002892881,0.00019420382,0.00034299365,0.00080485165,0.0004161267,0.0001643099,0.00076446217,0.00011889942,0.00008180522],"category_scores_gemma":[0.000030605996,0.00013192743,0.00066735956,0.0023113447,0.0004889472,0.0011470566,0.000012081873,0.0012835517,9.172483e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049954822,0.00007614212,0.9677783,0.00006445644,0.00006371665,0.0003017651,0.017227879,0.00079916674,0.000067865534,0.0007429822,0.0000296399,0.012798114],"study_design_scores_gemma":[0.00022298265,0.000057512112,0.98123926,0.0003927447,0.000096487565,0.0000074545806,0.0031271111,0.000045873992,0.000033271117,0.0040638074,0.010537295,0.00017622407],"about_ca_topic_score_codex":0.00033115307,"about_ca_topic_score_gemma":0.00038197465,"teacher_disagreement_score":0.014100768,"about_ca_system_score_codex":0.000041356103,"about_ca_system_score_gemma":0.0002416822,"threshold_uncertainty_score":0.55764645},"labels":[],"label_agreement":null},{"id":"W4403056192","doi":"10.33042/2522-1809-2024-3-184-267-272","title":"DIRECTIONS FOR THE DEVELOPMENT OF CYCLING INFRASTRUCTURE IN CITIES","year":2024,"lang":"en","type":"article","venue":"Municipal economy of cities","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cycling; Business; Economic geography; Geography","score_opus":0.03517995924253074,"score_gpt":0.3121493094016718,"score_spread":0.27696935015914104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403056192","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95825976,0.002005587,0.00023834544,0.00037269344,0.00029695086,0.00020009105,0.000018229812,0.000024764728,0.03858356],"genre_scores_gemma":[0.9985068,0.00003892341,0.00062125706,0.000016143207,0.00007478087,0.000044542,0.000003313359,0.000004505545,0.0006897291],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993679,0.000020020574,0.00032291078,0.000095217685,0.000058962447,0.00013499965],"domain_scores_gemma":[0.999408,0.00040304722,0.000052007275,0.00008886073,0.00003142504,0.000016642514],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047416077,0.000058807,0.00014442377,0.00008211847,0.0001988458,0.00003501855,0.0001993072,0.000045556862,0.00013903409],"category_scores_gemma":[0.000028738446,0.00004635789,0.00007054281,0.00011942465,0.000393231,0.00017960617,0.000016840542,0.000073868316,4.2538528e-7],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000423563,0.000040521896,0.14549387,0.00069015194,0.00017842425,4.292427e-7,0.67102915,0.00059615995,0.000035492143,0.13756424,0.00025626764,0.044072907],"study_design_scores_gemma":[0.00032692248,0.000030869847,0.1529106,0.0003538327,0.000058407713,1.0986056e-7,0.2574883,0.0013658444,0.0024116884,0.13370337,0.45105264,0.0002974166],"about_ca_topic_score_codex":0.0012189635,"about_ca_topic_score_gemma":0.025776487,"teacher_disagreement_score":0.45079637,"about_ca_system_score_codex":0.000048791466,"about_ca_system_score_gemma":0.00026412035,"threshold_uncertainty_score":0.9920006},"labels":[],"label_agreement":null},{"id":"W4403093595","doi":"10.1016/j.compenvurbsys.2024.102199","title":"A specialized inclusive road dataset with elevation profiles for realistic pedestrian navigation using open geospatial data and deep learning","year":2024,"lang":"en","type":"article","venue":"Computers Environment and Urban Systems","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Geospatial analysis; Pedestrian; Elevation (ballistics); Geography; Cartography; Open data; Computer science; Remote sensing; World Wide Web; Engineering; Archaeology","score_opus":0.048431754398786234,"score_gpt":0.3216218714072888,"score_spread":0.2731901170085026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403093595","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83515656,0.002214046,0.15726882,0.0002067969,0.0005229875,0.003026178,0.0013539852,0.000071529015,0.00017911108],"genre_scores_gemma":[0.992537,0.0000725805,0.001421454,0.000008091626,0.0006091067,0.000043341668,0.0052062483,0.00001379498,0.000088375695],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987357,0.0001353005,0.00022703936,0.00048171467,0.0002483387,0.0001719045],"domain_scores_gemma":[0.9994885,0.000098949015,0.00011405247,0.00020417241,0.000013125575,0.00008119899],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082889776,0.00012320591,0.00019029187,0.000037427573,0.0005927581,0.0007189073,0.00029221404,0.000059373884,0.000010544196],"category_scores_gemma":[0.000016442757,0.00010646891,0.000011563936,0.000074043404,0.00016675198,0.000701697,0.00021021074,0.00007864699,9.366456e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00061127124,0.00018973903,0.8636851,0.0020122712,0.00040070442,0.00006279301,0.03858026,0.0018268866,0.0004500556,0.004028632,0.0058448445,0.08230744],"study_design_scores_gemma":[0.0022377255,0.0003173024,0.07068535,0.0010009243,0.00042684656,0.000007633308,0.0049268827,0.6262438,0.000010653066,0.0003400532,0.29302615,0.0007766568],"about_ca_topic_score_codex":0.0056041046,"about_ca_topic_score_gemma":0.00045319175,"teacher_disagreement_score":0.79299974,"about_ca_system_score_codex":0.00011422952,"about_ca_system_score_gemma":0.00007329758,"threshold_uncertainty_score":0.8471767},"labels":[],"label_agreement":null},{"id":"W4403168794","doi":"10.3138/9781487553678-009","title":"6 Prospects for Public Transit Equity in the Twenty-First Century: Lessons from COVID-19’s Impacts on Canada’s Largest Metropolis","year":2024,"lang":"en","type":"book-chapter","venue":"University of Toronto Press eBooks","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Equity (law); Coronavirus disease 2019 (COVID-19); Public transport; Transit (satellite); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Geography; Political science; Regional science; Medicine; Virology; Law","score_opus":0.0675181990820279,"score_gpt":0.306093617281096,"score_spread":0.23857541819906813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403168794","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0004440086,0.0027427946,0.000038412963,0.00511369,0.00047601425,0.0014988866,0.00431355,0.00007001437,0.9853026],"genre_scores_gemma":[0.67535704,0.0008308114,0.00005653394,0.00043815744,0.00034389083,0.000004119245,0.00028093456,0.000045440294,0.32264307],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978282,0.00006679541,0.00023736207,0.0005877834,0.00078471407,0.0004951766],"domain_scores_gemma":[0.9985446,0.00029392572,0.0002237508,0.0004640248,0.00010865099,0.0003650988],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00051070325,0.00030903314,0.00047749327,0.000046632096,0.0006816549,0.00011266532,0.0012802817,0.00035338872,0.0004629773],"category_scores_gemma":[0.000051521936,0.00028731936,0.00028525098,0.0000065282115,0.00045784595,0.00019986088,0.00010034506,0.00034976218,0.000001177883],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029503935,0.00010557153,0.0006070238,0.0004337958,0.0002914358,0.00013678259,0.045709398,0.0000036055221,0.0000029349933,0.93003476,0.021402314,0.0009773719],"study_design_scores_gemma":[0.0005715156,0.000050338072,0.0010231482,0.00013334109,0.00023772208,7.815836e-8,0.0015142219,0.000003404063,0.0000059807153,0.005922497,0.990241,0.00029676937],"about_ca_topic_score_codex":0.9956307,"about_ca_topic_score_gemma":0.99980253,"teacher_disagreement_score":0.9688387,"about_ca_system_score_codex":0.0034249553,"about_ca_system_score_gemma":0.0028812962,"threshold_uncertainty_score":0.9999579},"labels":[],"label_agreement":null},{"id":"W4403170863","doi":"10.1016/j.jth.2024.101926","title":"What do community bike shops mean to the community? Exploring the patrons' perspective","year":2024,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saskatchewan Polytechnic; Federated Co-operatives (Canada)","funders":"","keywords":"Perspective (graphical); Psychology; Sociology; Computer science; Artificial intelligence","score_opus":0.10970626043962341,"score_gpt":0.3823723728512723,"score_spread":0.2726661124116489,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403170863","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90749556,0.008005089,0.00043753625,0.07994417,0.0025333005,0.0004170808,0.000023257035,0.000056028806,0.001087974],"genre_scores_gemma":[0.9933188,0.004076431,0.00008520256,0.0016593824,0.00071607745,0.0000117863165,0.0000030747087,0.00002094519,0.0001082813],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9958321,0.0019643526,0.0007483678,0.00013347689,0.0008318271,0.00048991013],"domain_scores_gemma":[0.99786377,0.0006999336,0.00021454223,0.0005600404,0.00030410563,0.00035761655],"candidate_categories":["sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.012912852,0.00017984482,0.000378801,0.00013575108,0.0036545536,0.00036604612,0.0014639911,0.000059053415,0.00010070858],"category_scores_gemma":[0.000059492428,0.00010141107,0.00035938583,0.000814508,0.0003844404,0.0014940685,0.000024113744,0.002961996,0.0000096351405],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009547973,0.00026642214,0.033081744,0.00011256751,0.00011616227,0.000024213123,0.9329163,0.000072990275,0.0000062408803,0.003544814,0.0008305579,0.028932512],"study_design_scores_gemma":[0.00017809255,0.00031197115,0.22630216,0.00071882096,0.00008677864,0.0000067351875,0.69838727,0.0000034840243,0.000014465571,0.0044137132,0.06942045,0.00015606574],"about_ca_topic_score_codex":0.037445314,"about_ca_topic_score_gemma":0.21181831,"teacher_disagreement_score":0.23452903,"about_ca_system_score_codex":0.0005563394,"about_ca_system_score_gemma":0.0012068639,"threshold_uncertainty_score":0.9993382},"labels":[],"label_agreement":null},{"id":"W4403254154","doi":"10.1080/14606925.2024.2405773","title":"Assessing the impact of maker services in Barcelona and Milan towards the 15-minute city model through their accessibility","year":2024,"lang":"en","type":"article","venue":"The Design Journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Engineering","score_opus":0.14187905665346928,"score_gpt":0.40454072928274853,"score_spread":0.26266167262927925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403254154","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98305845,0.0031344518,0.008249622,0.0032495235,0.0001420886,0.0003123704,0.000012366984,0.000024870023,0.0018162513],"genre_scores_gemma":[0.9990136,0.00026167676,0.00024947323,0.00013478084,0.00022456932,0.000005727676,7.4776443e-7,0.0000109394,0.000098456905],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977476,0.0007963691,0.00042223907,0.00022513824,0.00043975931,0.00036891733],"domain_scores_gemma":[0.99876714,0.00058267196,0.00016475935,0.00031453284,0.000097838536,0.00007307203],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007417956,0.00017576064,0.00023246408,0.00003640153,0.0009894557,0.0010236799,0.00097506953,0.00008643436,0.00014721],"category_scores_gemma":[0.00005053577,0.00006518355,0.00020195279,0.00047308113,0.0007123838,0.001272133,0.000068903835,0.00069450005,9.026254e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003069287,0.00028869743,0.51258826,0.00018304164,0.00041898663,0.000049149527,0.42383274,0.005142953,0.003083179,0.0011104447,0.0012792812,0.05171629],"study_design_scores_gemma":[0.00020363994,0.000033207627,0.78967345,0.00016811847,0.000067909445,0.000012875742,0.00996631,0.037449446,0.00032684856,0.16186315,0.000082105944,0.00015295781],"about_ca_topic_score_codex":0.0032767716,"about_ca_topic_score_gemma":0.0009452775,"teacher_disagreement_score":0.41386643,"about_ca_system_score_codex":0.00011625666,"about_ca_system_score_gemma":0.0007500885,"threshold_uncertainty_score":0.9871369},"labels":[],"label_agreement":null},{"id":"W4403413604","doi":"10.32866/001c.36789","title":"Analyzing Public Transport Mode Share by Generational Cohort in Montreal Canada (1998-2018)","year":2022,"lang":"en","type":"article","venue":"Findings","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Public transport; Mode (computer interface); Cohort; Geography; Political science; Demography; Advertising; Sociology; Business; Computer science; Statistics; Mathematics","score_opus":0.017886076936255216,"score_gpt":0.2513958127446628,"score_spread":0.23350973580840761,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403413604","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.992535,0.00010625004,0.00003565086,0.0014505871,0.00020319334,0.00018991498,0.00073986617,0.000030554576,0.0047090114],"genre_scores_gemma":[0.9958914,0.00000582923,0.000021810041,0.00021795004,0.00008427919,0.0000689707,0.0009740405,0.000008650866,0.0027270818],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983472,0.00006109159,0.00026187097,0.00032183595,0.00062648667,0.0003815161],"domain_scores_gemma":[0.99965155,0.000029492403,0.00005387925,0.00011127922,0.000025306894,0.00012847694],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004903881,0.00010030298,0.00015773143,0.000075155665,0.00082636625,0.000047140376,0.00034778754,0.000045502627,0.002155632],"category_scores_gemma":[0.000016776958,0.000114134105,0.00005222873,0.00050899445,0.00005598547,0.00030788538,0.000017688444,0.00022674237,0.0000026710002],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000062031054,0.000041288557,0.97806084,0.0000031787338,0.000010275695,0.000014639001,0.0015062895,0.00009871089,0.000050011127,0.00018947503,0.019856045,0.00016305053],"study_design_scores_gemma":[0.00021067545,0.0000074714367,0.93026763,0.0000027954177,0.00001043978,2.052968e-7,0.0006156479,0.00030993085,0.000026834767,0.00020432202,0.06816177,0.00018227717],"about_ca_topic_score_codex":0.92075765,"about_ca_topic_score_gemma":0.99213856,"teacher_disagreement_score":0.07138088,"about_ca_system_score_codex":0.00070924085,"about_ca_system_score_gemma":0.000987743,"threshold_uncertainty_score":0.9987565},"labels":[],"label_agreement":null},{"id":"W4403418807","doi":"10.1080/23311886.2024.2406638","title":"A policy and institutional analysis of urban transport system: the case of Pakistan’s Lahore in the context of COVID-19","year":2024,"lang":"en","type":"article","venue":"Cogent Social Sciences","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Context (archaeology); 2019-20 coronavirus outbreak; Political science; Economic growth; Development economics; Socioeconomics; Geography; Sociology; Economics; Virology; Medicine; Outbreak","score_opus":0.05772716060808145,"score_gpt":0.3961561572338156,"score_spread":0.3384289966257341,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403418807","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99142766,0.0009991343,0.000074937976,0.0024543612,0.00007249947,0.00023991443,0.00021138974,0.000011042103,0.004509074],"genre_scores_gemma":[0.99975055,0.00003231021,0.0000053114745,0.00010084548,0.00007338026,0.000009398086,0.000004582699,0.0000012875443,0.00002230199],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.99856657,0.00021833311,0.00038391876,0.00019808322,0.00047065748,0.00016245987],"domain_scores_gemma":[0.9993244,0.00035775919,0.00012763898,0.000081609345,0.00006152705,0.000047087993],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0030985584,0.0000698826,0.00024054007,0.00020905962,0.00068261434,0.00003545498,0.00038007155,0.00005507424,0.00003623369],"category_scores_gemma":[0.00010188569,0.00004003733,0.0001710531,0.0035009636,0.0043251,0.00013864115,0.000012158432,0.00006811003,1.4542249e-7],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012820664,0.00005235412,0.27114856,0.000164729,0.00008954192,0.000047362922,0.1633866,0.000018127752,0.00003825814,0.5640793,0.000043840522,0.0009185379],"study_design_scores_gemma":[0.00035914374,0.000081413,0.35843745,0.00009564409,0.0011177538,0.00000740358,0.6287365,0.00057366723,0.000072773706,0.0043276562,0.0059626354,0.00022797631],"about_ca_topic_score_codex":0.08153261,"about_ca_topic_score_gemma":0.12200205,"teacher_disagreement_score":0.55975163,"about_ca_system_score_codex":0.00009595381,"about_ca_system_score_gemma":0.0014474202,"threshold_uncertainty_score":0.99838454},"labels":[],"label_agreement":null},{"id":"W4403457870","doi":"10.2139/ssrn.4975015","title":"Mobility in a Cardiac Surgery Intensive Care Unit: A Behaviour Mapping Study","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Intensive care unit; Cardiac surgery; Medicine; Intensive care medicine; Cardiology","score_opus":0.04125507534645728,"score_gpt":0.33284538872622427,"score_spread":0.291590313379767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403457870","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9749505,0.020167084,0.000027908109,0.00054058107,0.0023000243,0.0011857059,0.0000474077,0.000105668565,0.0006751388],"genre_scores_gemma":[0.9966919,0.0018865874,0.0000048652296,0.0000321308,0.0007665532,0.00008502942,0.00003149921,0.000042270756,0.00045919258],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99339694,0.0011410074,0.0009180953,0.0008395961,0.0008176396,0.0028867116],"domain_scores_gemma":[0.9978602,0.00019909833,0.00032591066,0.00047312368,0.00095569354,0.00018599852],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.009996718,0.00040612018,0.0009877386,0.0005341104,0.00044889693,0.00034131957,0.0007407487,0.0004273509,0.0000429589],"category_scores_gemma":[0.00037664405,0.0003921387,0.0007903998,0.00073633395,0.00022083875,0.00016817513,0.00036559728,0.01031919,0.000015362742],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.00003197067,0.00017560877,0.93494314,0.000087982335,0.00023325226,0.00007847233,0.059382796,0.000008531229,0.0000013020009,0.00045544285,0.000033332166,0.0045681745],"study_design_scores_gemma":[0.00014095662,0.00005527262,0.33202407,0.00029561546,0.00022803847,0.0000026814316,0.5728505,0.0000024302906,0.0000023155237,0.093789816,0.00018849646,0.00041977575],"about_ca_topic_score_codex":0.030939585,"about_ca_topic_score_gemma":0.22754604,"teacher_disagreement_score":0.60291904,"about_ca_system_score_codex":0.004609384,"about_ca_system_score_gemma":0.020324843,"threshold_uncertainty_score":0.9998531},"labels":[],"label_agreement":null},{"id":"W4403465986","doi":"10.1155/2024/5565573","title":"Development and Balance Evaluation for Land Use and Transport Interaction Using Node‐Place Model and Data Envelopment Analysis","year":2024,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Data envelopment analysis; Balance (ability); Node (physics); Land use; Transport engineering; Operations research; Computer science; Engineering; Civil engineering; Statistics; Mathematics; Psychology","score_opus":0.09813951101857823,"score_gpt":0.39384561277967206,"score_spread":0.2957061017610938,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403465986","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93602324,0.00090178824,0.06249187,0.00014054471,0.00013020376,0.00024361837,0.000052019772,0.000011504248,0.00000520107],"genre_scores_gemma":[0.9379963,0.00055742473,0.061201986,0.000015037368,0.000040914285,0.0000050183917,0.00016018387,0.0000074691156,0.000015610913],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987776,0.000026231215,0.0004647229,0.00026682342,0.00034374523,0.00012082191],"domain_scores_gemma":[0.9993615,0.00009185012,0.00018497175,0.00007854268,0.00019651919,0.00008659826],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011945559,0.000102183105,0.00020877384,0.00017739952,0.00018651068,0.00009307107,0.000070543545,0.000054568638,0.0000052926166],"category_scores_gemma":[0.000026252992,0.000093224844,0.000038885115,0.0002316495,0.000057082096,0.0023570484,0.0000019540864,0.00009695933,3.3003115e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000592475,0.0000911706,0.75017846,0.00036466235,0.0006953978,0.000013508057,0.056226622,0.12645417,0.0023847928,0.0002133725,0.000009447824,0.062775955],"study_design_scores_gemma":[0.0008433461,0.000023656497,0.8399099,0.00018422722,0.0015616223,0.0000015288817,0.0019494996,0.1523556,0.00014833511,0.00040281087,0.0024274527,0.00019202534],"about_ca_topic_score_codex":0.00007303451,"about_ca_topic_score_gemma":0.004304509,"teacher_disagreement_score":0.08973148,"about_ca_system_score_codex":0.000082224724,"about_ca_system_score_gemma":0.00026332986,"threshold_uncertainty_score":0.38015988},"labels":[],"label_agreement":null},{"id":"W4403482237","doi":"10.1016/j.jtrangeo.2024.104026","title":"When e-activities meet spatial accessibility: A theoretical framework and empirical space-time thresholds for simulated spatial settings","year":2024,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Ministerio de Asuntos Económicos y Transformación Digital, Gobierno de España","keywords":"Transport engineering; Space (punctuation); Computer science; Spatial design; Geography; Engineering","score_opus":0.013826580395567872,"score_gpt":0.31680195449246384,"score_spread":0.30297537409689596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403482237","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96057785,0.0011204553,0.029922526,0.006111188,0.0007657682,0.00049591786,0.00012969074,0.00012519512,0.0007514171],"genre_scores_gemma":[0.9957465,0.00009338949,0.0027526545,0.00023002752,0.0010830972,0.0000069049324,0.000014036191,0.000036650188,0.00003674958],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970503,0.00014363346,0.0008879252,0.00048588772,0.0008587896,0.00057349144],"domain_scores_gemma":[0.9980689,0.000848365,0.00024781164,0.00021735125,0.00023083723,0.00038672166],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0021287552,0.00031061092,0.00067893334,0.00037809266,0.00041224543,0.00031377462,0.00043677806,0.00043160332,0.00084460684],"category_scores_gemma":[0.00011928321,0.0002478643,0.000800229,0.00047182478,0.0014932377,0.00085394096,0.000016249653,0.00062409,0.0000012649865],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012127849,0.00029269545,0.9732963,0.00029031295,0.0004076574,0.00012924826,0.01236761,0.000020104968,0.00012467722,0.0033752539,0.00052232575,0.007961026],"study_design_scores_gemma":[0.0020097767,0.0013481322,0.49140856,0.0012774665,0.0017120636,0.000018459397,0.0016807846,0.0019966548,0.00053172733,0.4520719,0.044747397,0.0011970857],"about_ca_topic_score_codex":0.00044392515,"about_ca_topic_score_gemma":0.00050519744,"teacher_disagreement_score":0.48188776,"about_ca_system_score_codex":0.00004645588,"about_ca_system_score_gemma":0.00039236664,"threshold_uncertainty_score":0.9999974},"labels":[],"label_agreement":null},{"id":"W4403491679","doi":"10.1017/s0714980824000254","title":"Characterizing Older Adults’ Travel Behaviour and Unmet Needs: Findings from the Canadian Longitudinal Study on Aging (CLSA)","year":2024,"lang":"en","type":"article","venue":"Canadian Journal on Aging / La Revue canadienne du vieillissement","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University; University of British Columbia; British Columbia Institute of Technology; Simon Fraser University","funders":"Canadian Institutes of Health Research; Government of Canada","keywords":"Gerontology; Longitudinal study; Psychology; Demography; Medicine; Sociology; Pathology","score_opus":0.02664347877652432,"score_gpt":0.2677914056654531,"score_spread":0.2411479268889288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403491679","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97287077,0.0008028554,0.000009033472,0.02253607,0.0018348158,0.0006030813,0.00025910744,0.000032007953,0.0010522802],"genre_scores_gemma":[0.9969108,0.00005701047,0.000014172859,0.001448215,0.0010309821,0.000028789347,0.00003775508,0.000054158645,0.00041812938],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969061,0.00029067614,0.0005244131,0.00062549225,0.00030840817,0.0013449234],"domain_scores_gemma":[0.9962607,0.00026116238,0.000118603195,0.00034499675,0.00013782585,0.0028766908],"candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0021565335,0.00038287358,0.00036899524,0.0007297931,0.0031923875,0.0019103014,0.00066856365,0.00013990456,0.00057626073],"category_scores_gemma":[0.00014721572,0.00033045883,0.00015626798,0.00071246934,0.00024660947,0.0003993615,0.000015447293,0.0010909619,0.000017097793],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007714776,0.000033907087,0.84048283,0.00002126939,0.0001078481,0.002420933,0.15061736,0.0000038124324,0.0000065790023,0.0015138934,0.0011602606,0.0036235854],"study_design_scores_gemma":[0.00035865392,0.00009567104,0.93098956,0.0012193404,0.00012928224,0.00002921948,0.038725328,0.000028786599,0.0000076136234,0.00009886972,0.027909864,0.00040782263],"about_ca_topic_score_codex":0.94349843,"about_ca_topic_score_gemma":0.99889904,"teacher_disagreement_score":0.11189204,"about_ca_system_score_codex":0.0026399037,"about_ca_system_score_gemma":0.0021401593,"threshold_uncertainty_score":0.99991477},"labels":[],"label_agreement":null},{"id":"W4403497258","doi":"10.24294/jipd.v8i11.8066","title":"Risk-taking behavior of electric cyclists and policy recommendations: A case study","year":2024,"lang":"en","type":"article","venue":"Journal of Infrastructure Policy and Development","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Psychology","score_opus":0.02255527087239433,"score_gpt":0.36815536528365533,"score_spread":0.345600094411261,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403497258","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979547,0.000758617,0.00013201316,0.0005109063,0.00014085791,0.00017672135,0.000006698081,0.00001139747,0.00030808884],"genre_scores_gemma":[0.99690706,0.00028394582,0.002325775,0.000053381176,0.00038366998,0.0000037899533,6.424873e-7,0.000006481995,0.000035258552],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987637,0.00010907918,0.00056129665,0.0001315404,0.0002492867,0.00018510745],"domain_scores_gemma":[0.99901354,0.00012737681,0.0005377018,0.000059613452,0.000117950876,0.00014382176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007977578,0.000111726506,0.0002166072,0.0005192679,0.00034151584,0.00011810835,0.00009839597,0.000067059445,0.00004021176],"category_scores_gemma":[0.00036713202,0.0000853427,0.00003915423,0.00057436933,0.000086532054,0.0002817359,0.000026584363,0.00026315497,2.2438923e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017934763,0.00007975938,0.66196847,0.00003971814,0.00008741069,0.0002980466,0.05986973,0.0000016060968,0.000054027507,0.00056199305,0.000101655496,0.27691963],"study_design_scores_gemma":[0.0003258545,0.00007901867,0.98485035,0.000065705135,0.00007473307,0.00038368095,0.0073283133,0.0000035418345,0.00011037112,0.0018438231,0.004819225,0.00011535694],"about_ca_topic_score_codex":0.003872927,"about_ca_topic_score_gemma":0.0013797784,"teacher_disagreement_score":0.3228819,"about_ca_system_score_codex":0.00016145286,"about_ca_system_score_gemma":0.0014341854,"threshold_uncertainty_score":0.5854733},"labels":[],"label_agreement":null},{"id":"W4403503279","doi":"10.1016/j.healthplace.2024.103366","title":"Exposure to useable green space and physical activity during active travel: A longitudinal GPS and accelerometer study before and after retirement","year":2024,"lang":"en","type":"article","venue":"Health & Place","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Varsinais-Suomen Sairaanhoitopiiri; Juho Vainion Säätiö; Opetus- ja Kulttuuriministeriö; Turun Yliopistollinen Keskussairaala; Academy of Finland","keywords":"Global Positioning System; Accelerometer; Physical activity; Space (punctuation); Geodesy; Aeronautics; Geography; Computer science; Business; Psychology; Transport engineering; Physical medicine and rehabilitation; Medicine; Engineering; Telecommunications","score_opus":0.03771102536068214,"score_gpt":0.34865751876857753,"score_spread":0.3109464934078954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403503279","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9937349,0.00022702328,0.000018608103,0.004827485,0.00007394501,0.0009431985,0.000030126334,0.000054232616,0.000090495414],"genre_scores_gemma":[0.99891704,0.000031065738,0.000051107265,0.000065665954,0.00017533434,0.00006145983,8.9491493e-7,0.000013189919,0.0006842142],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99848115,0.0001333988,0.00012210618,0.0005575663,0.00031060295,0.00039518843],"domain_scores_gemma":[0.9993966,0.00007046632,0.00003593707,0.00012914678,0.000025533682,0.00034227895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046394742,0.00015576002,0.00026360294,0.00006559533,0.00040841225,0.00016504643,0.000067616034,0.000052029645,0.000026931104],"category_scores_gemma":[0.000014257274,0.00013461127,0.000026151265,0.00024074141,0.00012615134,0.0004574305,0.000065500615,0.00022128946,0.0000024110514],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028519816,0.00022530158,0.88628995,0.00039228666,0.00003524484,0.000038943595,0.10021575,2.1154327e-7,0.00007326456,0.000035424735,0.000052665833,0.012355768],"study_design_scores_gemma":[0.000296584,0.00045568592,0.99338526,0.000079500685,0.000025277248,8.98314e-7,0.005229905,0.000021860862,0.00006313192,0.000072007286,0.0002439217,0.00012597341],"about_ca_topic_score_codex":0.006672448,"about_ca_topic_score_gemma":0.032111034,"teacher_disagreement_score":0.107095316,"about_ca_system_score_codex":0.00014925795,"about_ca_system_score_gemma":0.00013318463,"threshold_uncertainty_score":0.9999422},"labels":[],"label_agreement":null},{"id":"W4403531902","doi":"10.5194/isprs-annals-x-4-2024-169-2024","title":"Exploring Spatiotemporal Interaction Patterns of Dockless Shared Bicycle Networks: A Case Study of Shenzhen, China","year":2024,"lang":"en","type":"article","venue":"ISPRS annals of the photogrammetry, remote sensing and spatial information sciences","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Beijing Association for Science and Technology; China Scholarship Council; Ministry of Natural Resources of the People's Republic of China","keywords":"China; Computer science; Geography","score_opus":0.1598027294978603,"score_gpt":0.3751051865868182,"score_spread":0.21530245708895787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403531902","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9591408,0.00006212851,0.039166365,0.00027769836,0.0007033069,0.0003519333,0.000016480915,0.00003083232,0.00025045077],"genre_scores_gemma":[0.9997621,0.000064350694,0.00007093409,0.000024576835,0.00006485465,4.213096e-7,0.0000029753696,0.0000039891825,0.0000058066794],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981989,0.00016789536,0.0006932226,0.00017130324,0.0005561449,0.00021250131],"domain_scores_gemma":[0.99896514,0.00013055057,0.0004385799,0.00018438828,0.00021527223,0.00006605521],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016104601,0.00011984807,0.0002454501,0.00028108756,0.00041730676,0.00022636159,0.00021832398,0.000049847946,0.000010070593],"category_scores_gemma":[0.00013615764,0.00008665722,0.000117264906,0.0010040683,0.0003470985,0.0012320515,0.00006276884,0.0001408867,2.3110022e-7],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033060645,0.000054568205,0.028890057,0.00012147861,0.000032323165,0.000005299013,0.052895766,0.0011861619,0.00004217557,0.000004482506,0.000013743998,0.91672087],"study_design_scores_gemma":[0.00028189213,0.00035051437,0.076663494,0.00069399335,0.000059358437,0.000016238395,0.10571048,0.81115836,0.004275597,0.00024131863,0.00030734786,0.0002413858],"about_ca_topic_score_codex":0.81444746,"about_ca_topic_score_gemma":0.21867895,"teacher_disagreement_score":0.9164795,"about_ca_system_score_codex":0.000013431365,"about_ca_system_score_gemma":0.000082078186,"threshold_uncertainty_score":0.7955781},"labels":[],"label_agreement":null},{"id":"W4403564103","doi":"10.1016/j.tra.2024.104294","title":"Mapping the interplay of work-arrangement, residential location, and activity engagement within an integrated model","year":2024,"lang":"en","type":"article","venue":"Transportation Research Part A Policy and Practice","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"Environment and Climate Change Canada","keywords":"Work (physics); Work engagement; Transport engineering; Computer science; Engineering","score_opus":0.19882427286929302,"score_gpt":0.48110306358376,"score_spread":0.28227879071446693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403564103","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95565593,0.00059581926,0.018962605,0.021005267,0.00011199549,0.00079877576,0.000052212552,0.00007755705,0.0027398514],"genre_scores_gemma":[0.9980019,0.0005077168,0.00038591886,0.00010323986,0.00014242835,0.000051310308,0.000023679326,0.000008880209,0.00077495276],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99738973,0.0012044515,0.00028084838,0.0002930191,0.00057895173,0.00025302215],"domain_scores_gemma":[0.9980002,0.0012711234,0.00008238406,0.00016426768,0.0003610466,0.0001209787],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007824964,0.000091928465,0.00011078949,0.00020461995,0.0006606002,0.00026394924,0.0001647479,0.00007114385,0.000063409585],"category_scores_gemma":[0.0008057107,0.00007072162,0.000025460295,0.0012102263,0.0006482777,0.0014578793,0.000008177278,0.00048023055,0.0000023634043],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017353036,0.00044818278,0.015917871,0.00079010765,0.000288201,0.000025181063,0.8151736,0.0012785494,0.00150613,0.12567313,0.0029161018,0.034247633],"study_design_scores_gemma":[0.0014361831,0.00042886112,0.51474017,0.0012904748,0.00035151988,0.0000017997702,0.16466643,0.02244177,0.0012323998,0.023148034,0.26942378,0.0008385736],"about_ca_topic_score_codex":0.023333859,"about_ca_topic_score_gemma":0.021417206,"teacher_disagreement_score":0.6505072,"about_ca_system_score_codex":0.00004663282,"about_ca_system_score_gemma":0.0006570639,"threshold_uncertainty_score":0.9964394},"labels":[],"label_agreement":null},{"id":"W4403660657","doi":"10.1016/j.jcmr.2024.100047","title":"Scooting into place: How comfort on different infrastructure types influences shared e-scooter trip making","year":2024,"lang":"en","type":"article","venue":"Journal of Cycling and Micromobility Research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary; Carleton University","funders":"","keywords":"Transport engineering; Business; Architectural engineering; Computer science; Engineering","score_opus":0.06180789901581734,"score_gpt":0.4250911160831818,"score_spread":0.36328321706736444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403660657","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9942063,0.0024809057,0.0000422286,0.0021342179,0.0004097153,0.00019914836,0.000007389206,0.000028610864,0.000491502],"genre_scores_gemma":[0.9986338,0.00021830105,0.00030219823,0.00003722143,0.00054529886,0.0000028410952,0.0000016677254,0.000011521576,0.00024713832],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99743134,0.00047733422,0.00045021178,0.00031880548,0.00088184106,0.00044046843],"domain_scores_gemma":[0.99840546,0.00081502757,0.000120657634,0.00016349994,0.0003156122,0.00017974064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0061215996,0.0001447424,0.000322704,0.00029907626,0.00082026125,0.0009109426,0.00041038773,0.00017016729,0.000109479115],"category_scores_gemma":[0.000856436,0.00010118734,0.00014590326,0.00043482633,0.00059211074,0.00053686934,0.00006980557,0.0014958177,0.0000025493446],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006643956,0.00024606616,0.83303696,0.0010514216,0.00020223939,0.00015107042,0.041212603,0.000072907445,0.02158793,0.00035873204,0.00168674,0.099728934],"study_design_scores_gemma":[0.0014547701,0.0011345079,0.87752414,0.005929971,0.00015248585,0.00003083957,0.019022921,0.0005587339,0.009405471,0.030836597,0.053163864,0.0007857027],"about_ca_topic_score_codex":0.00017669593,"about_ca_topic_score_gemma":0.0005042106,"teacher_disagreement_score":0.09894323,"about_ca_system_score_codex":0.00021200921,"about_ca_system_score_gemma":0.00039763053,"threshold_uncertainty_score":0.87842405},"labels":[],"label_agreement":null},{"id":"W4403682018","doi":"10.1016/j.ufug.2024.128557","title":"Equity, travel, and park visitation in 10 US metro areas: A smartphone mobility study","year":2024,"lang":"en","type":"article","venue":"Urban forestry & urban greening","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Geography; Equity (law); Travel behavior; Public park; Urban park; Transport engineering; Business; Environmental planning; Regional science; Engineering; Political science","score_opus":0.03264153488636745,"score_gpt":0.3328040714307268,"score_spread":0.30016253654435937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403682018","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.990693,0.0022348962,0.0002362461,0.00015589749,0.00042001976,0.00082836894,0.000025811742,0.00023348842,0.005172318],"genre_scores_gemma":[0.9970192,0.000009043252,0.00014936378,0.000033168624,0.0003980056,0.000071709524,0.00003032482,0.00003162962,0.0022575918],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9967705,0.00029247793,0.00062834535,0.00088446226,0.00072835654,0.0006958825],"domain_scores_gemma":[0.99886227,0.00031562883,0.00010329582,0.00036360143,0.00008196357,0.0002732363],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0022754828,0.00030122386,0.000421228,0.00027746844,0.00048195035,0.000455323,0.00040171613,0.00019347055,0.00036228294],"category_scores_gemma":[0.00020892528,0.0002961127,0.00013293087,0.0011332696,0.00038242928,0.00092016364,0.00012668711,0.0004687478,0.0000245208],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000081372404,0.0002718437,0.97890556,0.000089692905,0.00004628751,0.00009733609,0.014816428,0.0000061832293,0.0000316358,0.0004714185,0.0007992254,0.0043830206],"study_design_scores_gemma":[0.0005523161,0.00018565498,0.9882632,0.0001274166,0.000086610016,6.853762e-7,0.0058632772,0.00058863393,0.00002599496,0.0026265893,0.0013494247,0.00033022463],"about_ca_topic_score_codex":0.009107942,"about_ca_topic_score_gemma":0.033023793,"teacher_disagreement_score":0.023915851,"about_ca_system_score_codex":0.00027226878,"about_ca_system_score_gemma":0.00024827683,"threshold_uncertainty_score":0.9999491},"labels":[],"label_agreement":null},{"id":"W4403707575","doi":"10.2139/ssrn.4959493","title":"The Marginal Benefit of Bicycles in Education Programs: An Evaluation Using Optimal Full Matching","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; Queen's University","funders":"","keywords":"Matching (statistics); Computer science; Mathematical optimization; Mathematics; Statistics","score_opus":0.033521791414958965,"score_gpt":0.366100639620089,"score_spread":0.33257884820513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403707575","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98316765,0.014218779,0.00034284857,0.00051633746,0.0008454316,0.00054488133,0.0000022651457,0.000021639795,0.00034016065],"genre_scores_gemma":[0.99710864,0.0015874031,0.00037042188,0.000004015827,0.00075806264,0.000026349207,0.000020735619,0.00001945332,0.00010493547],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99678665,0.00034456688,0.0005457582,0.00031558122,0.0007987553,0.0012086566],"domain_scores_gemma":[0.9989953,0.000032747677,0.0004048783,0.0002095374,0.00028815822,0.00006938667],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.010476816,0.00017045975,0.00021010953,0.0001773627,0.00049242214,0.0003872622,0.0005921446,0.00019857749,0.000020112697],"category_scores_gemma":[0.000040899835,0.00013513629,0.00015576882,0.00028952287,0.0001682359,0.00027210295,0.000079128054,0.002787415,0.0000013743511],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016647321,0.00049301924,0.05995499,0.00013688293,0.00018181722,0.0000015287961,0.01573152,0.0048564924,0.00022518139,0.100605115,0.000003001347,0.817644],"study_design_scores_gemma":[0.00012537169,0.000071346694,0.005673722,0.00033788942,0.0001566184,0.0000067472556,0.025838481,0.0034898794,0.000008860751,0.9640341,0.00008120809,0.00017577753],"about_ca_topic_score_codex":0.0088754,"about_ca_topic_score_gemma":0.13461158,"teacher_disagreement_score":0.863429,"about_ca_system_score_codex":0.0026163422,"about_ca_system_score_gemma":0.020918526,"threshold_uncertainty_score":0.9995132},"labels":[],"label_agreement":null},{"id":"W4403710359","doi":"10.1016/j.jtrangeo.2024.104038","title":"Do affluent neighbourhoods pay more for transit access? Exploring the capitalization of employment accessibility within different housing submarkets in Vancouver","year":2024,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Social Sciences and Humanities Research Council; Social Sciences and Humanities Research Council of Canada; IJURR Foundation","keywords":"Capitalization; Economic geography; Transport engineering; Business; Transit (satellite); Geography; Public transport; Engineering","score_opus":0.0392624932506523,"score_gpt":0.3234619163827771,"score_spread":0.2841994231321248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403710359","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9880555,0.001277033,0.0068811034,0.0006399764,0.0022810744,0.0006872998,0.000050365503,0.000036691006,0.00009093052],"genre_scores_gemma":[0.9990387,0.000423094,0.00015672142,0.00004324697,0.00025015793,0.000040573726,0.000008410395,0.000027451397,0.000011665089],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9967798,0.00014853284,0.0013802971,0.00035870928,0.0009267664,0.00040589733],"domain_scores_gemma":[0.99868196,0.00020130455,0.00043473087,0.00025781235,0.00026702893,0.00015715754],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024340637,0.0002561803,0.00053325604,0.00047545187,0.00024651433,0.00017568072,0.0007328324,0.00011303014,0.00009269654],"category_scores_gemma":[0.000027752036,0.00015189203,0.00077164924,0.0010512782,0.0003317606,0.001691658,0.000011130658,0.0003887816,1.0031572e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029071415,0.0003235447,0.976594,0.00033969077,0.00014533891,0.000027079386,0.01689982,0.00065262173,0.00008893977,0.00010788982,0.00004265307,0.004487708],"study_design_scores_gemma":[0.0006137997,0.00008736785,0.99154,0.0005573415,0.00026709834,5.0924103e-7,0.002462785,0.000070089205,0.00083042914,0.0026866759,0.00068266434,0.00020124791],"about_ca_topic_score_codex":0.0008561564,"about_ca_topic_score_gemma":0.015999256,"teacher_disagreement_score":0.015143099,"about_ca_system_score_codex":0.00009846409,"about_ca_system_score_gemma":0.00027249948,"threshold_uncertainty_score":0.89279604},"labels":[],"label_agreement":null},{"id":"W4403729198","doi":"10.2139/ssrn.4998117","title":"Public Transport and the Covid-19 Pandemic:  A Comparative Analysis of Trends and Policies in Great Britain, Germany, the USA, Canada, and Australia","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Geography; Political science; Regional science; Virology; Outbreak; Infectious disease (medical specialty); Medicine","score_opus":0.08487315490757735,"score_gpt":0.36464589340460324,"score_spread":0.2797727384970259,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403729198","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98132974,0.00795063,0.000026016258,0.009894468,0.000067802706,0.00019754226,0.000090353,0.000007909965,0.0004355622],"genre_scores_gemma":[0.9933072,0.0047578183,0.0000018436025,0.00015854299,0.00008657989,0.000012026993,0.000014802044,0.00000607507,0.0016551424],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970868,0.0004549003,0.000545176,0.00036217118,0.00046360775,0.0010873055],"domain_scores_gemma":[0.99900067,0.00024798544,0.00028778988,0.00018700321,0.000079839796,0.00019671019],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0045540147,0.00023740088,0.000691722,0.0003646569,0.0004414858,0.00019562119,0.0004412913,0.00016700523,0.00007324634],"category_scores_gemma":[0.000038384984,0.00014084246,0.00017912126,0.00093045505,0.0015680238,0.00010739113,0.00008262114,0.0025009506,8.509777e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055954843,0.000012376488,0.9500232,0.000027031017,0.001035484,0.000005290437,0.015225587,0.000034438697,0.0000010005759,0.033015735,0.00005700041,0.0005069221],"study_design_scores_gemma":[0.0005123448,0.000020244071,0.91579795,0.00001633081,0.0013247542,0.000020086749,0.0060930923,0.00006224657,2.7878596e-7,0.07503696,0.0009320965,0.00018360741],"about_ca_topic_score_codex":0.9495818,"about_ca_topic_score_gemma":0.9996525,"teacher_disagreement_score":0.05007069,"about_ca_system_score_codex":0.00094377744,"about_ca_system_score_gemma":0.0069481307,"threshold_uncertainty_score":0.9998003},"labels":[],"label_agreement":null},{"id":"W4403800979","doi":"10.1080/03081060.2024.2420384","title":"Editorial","year":2024,"lang":"en","type":"editorial","venue":"Transportation Planning and Technology","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Engineering; Transport engineering","score_opus":0.009646726440714076,"score_gpt":0.3077637884339975,"score_spread":0.2981170619932834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403800979","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0027922501,0.0023818363,0.00003946305,0.00055638805,0.99093735,0.00016031286,0.00027312836,0.00091693155,0.0019423182],"genre_scores_gemma":[0.024858804,0.00019308801,0.00006998394,0.00000501291,0.9718363,0.00003251539,0.0007924662,0.000030516121,0.0021812848],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99822813,0.00002392359,0.0003245846,0.0005118851,0.0005874571,0.00032399263],"domain_scores_gemma":[0.9992533,0.00019233953,0.00010768077,0.00016020106,0.00020638926,0.00008013195],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00039667904,0.00021307633,0.0003189985,0.00035611028,0.00032018646,0.00009637168,0.00025860273,0.002223343,0.000051681916],"category_scores_gemma":[0.00015040605,0.00021569681,0.00005866257,0.0005165705,0.00048656904,0.00012848689,0.000004238109,0.0012133472,0.000027722808],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015676424,0.000012766427,0.0036908148,0.00010898895,0.00003142321,0.000026800228,0.0020009838,4.670842e-7,0.000004019499,0.0018518214,0.99152976,0.0007264905],"study_design_scores_gemma":[0.00016624178,0.00003150714,0.00016180618,0.00015945337,0.000118252356,3.2889346e-8,0.00058477523,6.6654997e-7,0.0000061273186,0.009085352,0.98946047,0.00022530761],"about_ca_topic_score_codex":0.00077452615,"about_ca_topic_score_gemma":0.0017015117,"teacher_disagreement_score":0.022066554,"about_ca_system_score_codex":0.000043106353,"about_ca_system_score_gemma":0.0004788742,"threshold_uncertainty_score":0.99907196},"labels":[],"label_agreement":null},{"id":"W4403827434","doi":"10.22610/imbr.v16i3s(i)a.4148","title":"Navigating Urban Mobility: The Relationship between Car Consumption and Public Transport Usage in Malaysia","year":2024,"lang":"en","type":"article","venue":"Information Management and Business Review","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Public transport; Consumption (sociology); Business; Environmental economics; Car ownership; Advertising; Marketing; Transport engineering; Economic geography; Economics; Sociology; Engineering","score_opus":0.06389789680201084,"score_gpt":0.33212514094431,"score_spread":0.26822724414229915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403827434","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9523791,0.03661437,0.0009697196,0.005676645,0.00009877539,0.0012783716,0.000011111152,0.00009382485,0.0028780492],"genre_scores_gemma":[0.98405445,0.01540939,0.000060564707,0.00022184818,0.00003770692,0.000057885438,0.00009671323,0.0000029507553,0.00005847659],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990113,0.00007112,0.0004265495,0.00012277177,0.00022071708,0.00014755169],"domain_scores_gemma":[0.99960375,0.00012292912,0.000074800504,0.00011170718,0.000047344056,0.00003944957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015358173,0.00008915687,0.00014287906,0.000053628897,0.00026291836,0.00023974276,0.00010738472,0.000041843152,0.00005412089],"category_scores_gemma":[0.000057057798,0.000064727574,0.000028702363,0.0007663367,0.00016095726,0.0023431615,0.00001871836,0.00015310681,0.000016284792],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[6.6547466e-7,0.000003746051,0.8975926,0.0049010846,0.0000061243522,9.044767e-7,0.0010981185,6.733576e-7,1.686819e-8,0.006974504,0.00005589056,0.08936568],"study_design_scores_gemma":[0.000070127986,0.0000014530652,0.9259394,0.0019705885,0.00006145023,1.7716349e-7,0.00030664259,0.00004542782,3.8427608e-8,0.0008247631,0.070700854,0.00007907213],"about_ca_topic_score_codex":0.0002293038,"about_ca_topic_score_gemma":0.00018032837,"teacher_disagreement_score":0.08928661,"about_ca_system_score_codex":0.00003467957,"about_ca_system_score_gemma":0.000023752467,"threshold_uncertainty_score":0.2639514},"labels":[],"label_agreement":null},{"id":"W4403840116","doi":"10.3390/econometrics12040030","title":"Impact of Areal Factors on Students’ Travel Mode Choices: A Bayesian Spatial Analysis","year":2024,"lang":"en","type":"article","venue":"Econometrics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Bayesian probability; Mode (computer interface); Statistics; Econometrics; Geography; Computer science; Mathematics","score_opus":0.04819575063994822,"score_gpt":0.3668217151099597,"score_spread":0.31862596447001146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403840116","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9863187,0.00012305283,0.0031202328,0.000021140208,0.00022406514,0.00012976497,0.00024373313,0.000043165535,0.009776139],"genre_scores_gemma":[0.9992998,0.00003673564,0.000019848738,0.000006621749,0.00013315084,0.0000032494577,0.000044643497,0.000008740689,0.00044720876],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987152,0.00004406304,0.0003182782,0.0003230314,0.00034890024,0.00025047755],"domain_scores_gemma":[0.9992653,0.00025045482,0.00009138746,0.00019707468,0.000037241618,0.00015855434],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00043721515,0.00012547211,0.0003243625,0.0013468682,0.00011157572,0.00017789216,0.00038994558,0.00009563705,0.0014220799],"category_scores_gemma":[0.00009293504,0.00010287841,0.00051477784,0.0042055673,0.00009933322,0.00026039864,0.000013949738,0.00012812437,0.000012647323],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007703151,0.000152888,0.9936891,0.000011971289,0.0004941794,0.0000020173522,0.0033181026,0.00025046393,0.0000010985085,0.00021638807,0.000026269483,0.0018298158],"study_design_scores_gemma":[0.00008680492,0.00007740339,0.9976987,0.0000055381824,0.00020365344,6.7368733e-9,0.00034703614,0.0010763432,0.00001562817,0.00024160369,0.00013401489,0.00011322506],"about_ca_topic_score_codex":0.029803853,"about_ca_topic_score_gemma":0.012732612,"teacher_disagreement_score":0.017071242,"about_ca_system_score_codex":0.00027739716,"about_ca_system_score_gemma":0.00016561543,"threshold_uncertainty_score":0.99949074},"labels":[],"label_agreement":null},{"id":"W4403845564","doi":"10.1007/s11116-024-10547-9","title":"An interdisciplinary hybrid instrument to explore suburban challenges in Canada","year":2024,"lang":"en","type":"article","venue":"Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Regional science; Transport engineering; Geography; Sociology; Engineering","score_opus":0.06948182978650068,"score_gpt":0.3377980729778597,"score_spread":0.268316243191359,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403845564","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9937221,0.0005177166,0.00008473117,0.0034742376,0.0004526507,0.00024292189,0.000029845558,0.00008413638,0.0013916692],"genre_scores_gemma":[0.99951273,0.00009476545,0.000052251053,0.000047466863,0.00009503377,0.000042051735,0.00010139664,0.000011197291,0.000043106673],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99886894,0.00003862345,0.00024409573,0.00031846124,0.0002962699,0.0002336237],"domain_scores_gemma":[0.999664,0.000021162321,0.000016905124,0.00012689127,0.000023380864,0.0001476416],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023682298,0.00009554017,0.00011475546,0.00008688865,0.00010558954,0.000036112906,0.00017140915,0.000027935292,0.00017121328],"category_scores_gemma":[0.000001704798,0.000096483585,0.00003192337,0.0002325582,0.000030440844,0.00046001287,0.0000019271065,0.0001042422,0.0000075232138],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009290638,0.0001432089,0.535813,0.0002390379,0.000021136148,0.00040805133,0.265913,0.00030413788,0.00019264869,0.0048671155,0.00040546167,0.19160031],"study_design_scores_gemma":[0.00009496765,0.000040772946,0.96356326,0.00010738043,0.000011384756,8.631202e-8,0.029882789,0.0000816658,0.00030012717,0.0021557088,0.0035905533,0.00017131913],"about_ca_topic_score_codex":0.7556112,"about_ca_topic_score_gemma":0.9982238,"teacher_disagreement_score":0.4277503,"about_ca_system_score_codex":0.00039279283,"about_ca_system_score_gemma":0.00072792475,"threshold_uncertainty_score":0.39344862},"labels":[],"label_agreement":null},{"id":"W4403895540","doi":"10.1111/area.12978","title":"Pedals and throttles: Ride‐along experimental journeys with Hanoi's cyclo and motorbike taxi drivers","year":2024,"lang":"en","type":"article","venue":"Area","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Transport engineering; Business; Psychology; Computer science; Engineering","score_opus":0.019276042686521704,"score_gpt":0.29430680218567723,"score_spread":0.2750307594991555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403895540","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98805755,0.0023010275,0.00006207019,0.00044775385,0.00014029091,0.000171729,0.000010613231,0.000088193585,0.008720763],"genre_scores_gemma":[0.9989136,0.00010855501,0.00015871804,0.000051341398,0.000109053486,0.00001005692,0.0000028431439,0.00000914109,0.00063670997],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992011,0.000031248615,0.0001028628,0.00026677237,0.0002010693,0.00019692884],"domain_scores_gemma":[0.99969125,0.000053297128,0.000024034844,0.000084837084,0.000018246763,0.00012832384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018712066,0.00009907499,0.00011906951,0.00003579275,0.0003254517,0.00022253567,0.000084187304,0.00005198692,0.00024190338],"category_scores_gemma":[0.00000963163,0.00007627412,0.000027130236,0.00011529338,0.0004662926,0.00045875213,0.000019418878,0.0000920587,0.000006400875],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019621802,0.000047462916,0.95061404,0.000041812877,0.00004559444,0.000105230276,0.042393766,7.379143e-7,0.0012476699,0.0027163704,0.0010189964,0.0017487103],"study_design_scores_gemma":[0.0010862624,0.00030410595,0.90064025,0.00038483914,0.00013620852,0.000012886383,0.06360513,0.00014977719,0.00618037,0.0032785304,0.02344082,0.00078081037],"about_ca_topic_score_codex":0.0028455514,"about_ca_topic_score_gemma":0.0028590895,"teacher_disagreement_score":0.049973764,"about_ca_system_score_codex":0.00003514782,"about_ca_system_score_gemma":0.000078842415,"threshold_uncertainty_score":0.43016416},"labels":[],"label_agreement":null},{"id":"W4403898167","doi":"10.7717/peerj.18350","title":"The critical need for child and youth perceptions of active living in India: capturing context complexity in rural and urban regions","year":2024,"lang":"en","type":"article","venue":"PeerJ","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; Children’s Health Research Institute; Lawson Health Research Institute; Western University","funders":"Canada Research Chairs","keywords":"Perception; Context (archaeology); Geography; Environmental planning; Economic growth; Psychology; Economics; Neuroscience","score_opus":0.04214694125672597,"score_gpt":0.32750161058026644,"score_spread":0.2853546693235405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403898167","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99447,0.0007463614,0.000048114012,0.0025026985,0.0000742823,0.0002131959,0.000057916663,0.000016387909,0.0018710262],"genre_scores_gemma":[0.99978447,0.000034981833,0.00002320177,0.000023812956,0.00005829439,0.000011636856,0.0000034797577,0.0000035680957,0.000056576406],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99945396,0.000054367607,0.00012979658,0.000119671684,0.000082751576,0.0001594622],"domain_scores_gemma":[0.9994022,0.00046636682,0.000013314469,0.00005099716,0.000024584646,0.00004252393],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037916255,0.000050167208,0.000107509426,0.00004629716,0.00029300188,0.00006812662,0.000066197135,0.000044243367,0.000009554242],"category_scores_gemma":[0.00024703387,0.00003945576,0.000030379013,0.00012731805,0.0006505718,0.00017256664,0.000017674069,0.00014275251,1.9743209e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001874242,0.000039559738,0.68124574,0.00004575475,0.000006900667,7.951636e-7,0.26293415,1.854778e-7,0.000016092545,0.05317967,0.00002544121,0.002486952],"study_design_scores_gemma":[0.00008309331,0.000008983854,0.8660216,0.0001337877,0.000010837107,1.6996938e-7,0.12944828,0.000083149105,0.000003629671,0.004090875,0.00007062556,0.00004499622],"about_ca_topic_score_codex":0.0059068697,"about_ca_topic_score_gemma":0.03997115,"teacher_disagreement_score":0.18477581,"about_ca_system_score_codex":0.000033575358,"about_ca_system_score_gemma":0.00003666446,"threshold_uncertainty_score":0.9775469},"labels":[],"label_agreement":null},{"id":"W4403920094","doi":"10.1109/sm63044.2024.10733477","title":"Naturalistic Data Analysis: Assessing Factors Impacting E-bike Cyclist Safety on Urban Roads","year":2024,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Ontario Institute of Technology","funders":"","keywords":"Transport engineering; Computer science; Engineering","score_opus":0.08413262439684419,"score_gpt":0.4136121147348712,"score_spread":0.32947949033802704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403920094","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87700796,0.00048559738,0.0017617805,0.001177384,0.000951361,0.00015838284,0.00015476995,0.0005732274,0.11772956],"genre_scores_gemma":[0.9958686,0.000011202773,0.00017278425,0.000110056986,0.0003992266,0.0000010146038,0.0004713533,0.000013306424,0.0029524518],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978548,0.00012990227,0.000357126,0.0006790954,0.00056135684,0.0004176614],"domain_scores_gemma":[0.99855494,0.00049429835,0.00007029259,0.00065695745,0.000043378073,0.0001801032],"candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012087558,0.00018029888,0.00027999148,0.0001964769,0.0007468423,0.0011328358,0.0007397829,0.00012630662,0.0011282591],"category_scores_gemma":[0.0003125115,0.00013175656,0.00018823272,0.0016672312,0.00017426425,0.0015720084,0.00006319083,0.00035500946,0.000026189338],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017929891,0.00010142147,0.9641215,0.000058478072,0.00071480725,0.00004011865,0.015001867,0.000048906426,0.00008228761,0.01093619,0.0023759436,0.0065005263],"study_design_scores_gemma":[0.0000856273,0.000011890025,0.9567085,0.00007691,0.00088417344,9.8354825e-8,0.007560805,0.0044431146,0.000051440766,0.00031766715,0.02945632,0.00040345502],"about_ca_topic_score_codex":0.011780581,"about_ca_topic_score_gemma":0.011895382,"teacher_disagreement_score":0.11886067,"about_ca_system_score_codex":0.00019678326,"about_ca_system_score_gemma":0.00021503997,"threshold_uncertainty_score":0.9999041},"labels":[],"label_agreement":null},{"id":"W4403945855","doi":"10.17645/up.8481","title":"Understanding the Factors Affecting Traffic Danger for Children: Insights From Focus Group Discussions","year":2024,"lang":"en","type":"article","venue":"Urban Planning","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Institut National de la Recherche Scientifique; Polytechnique Montréal","funders":"Social Sciences and Humanities Research Council of Canada; Polytechnique Montréal","keywords":"Focus group; Focus (optics); Group (periodic table); Psychology; Sociology; Chemistry; Anthropology; Physics","score_opus":0.07017328799115446,"score_gpt":0.3062733895362548,"score_spread":0.23610010154510036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403945855","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9813817,0.002391866,0.01239125,0.0003873057,0.0008876767,0.00047103595,0.00006215361,0.00034581838,0.0016811938],"genre_scores_gemma":[0.99877465,0.000003249006,0.0000739624,0.000022539969,0.000747805,0.000013619619,0.000103074075,0.000023395303,0.00023768724],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99873585,0.00009351746,0.00019386395,0.00037136555,0.0002604283,0.0003450057],"domain_scores_gemma":[0.9986689,0.001017278,0.0000518678,0.00015265023,0.00001041695,0.000098877026],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00030040878,0.00015777978,0.00015857002,0.00007567688,0.001630654,0.00039856238,0.00027751393,0.00010984363,0.00006485884],"category_scores_gemma":[0.000072731746,0.0000925091,0.00016455316,0.00032998293,0.00016666006,0.0003961738,0.000020164263,0.00026636184,0.0000044374538],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029232078,0.000068219844,0.622642,0.00003523502,0.00021569857,0.000018071334,0.3520014,0.0001540326,0.00023188409,0.010888846,0.011759444,0.0019559409],"study_design_scores_gemma":[0.0007603509,0.00012041849,0.79353297,0.001111157,0.0004650483,6.3163986e-7,0.15522356,0.0022120203,0.00023511278,0.025215607,0.019943254,0.0011798627],"about_ca_topic_score_codex":0.0005219187,"about_ca_topic_score_gemma":0.001528736,"teacher_disagreement_score":0.19677782,"about_ca_system_score_codex":0.00015925564,"about_ca_system_score_gemma":0.000052610114,"threshold_uncertainty_score":0.9996691},"labels":[],"label_agreement":null},{"id":"W4404017690","doi":"10.1111/cag.12957","title":"Examining the impacts of school bus travel on students' academic performance in two major cities","year":2024,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"School bus; Mathematics education; Transport engineering; Geography; Psychology; Engineering","score_opus":0.02096879271753522,"score_gpt":0.2768454193925225,"score_spread":0.2558766266749873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404017690","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98497754,0.0060395757,3.9227672e-7,0.0011137781,0.00089360465,0.00054632133,0.00013942098,0.00007915009,0.0062102024],"genre_scores_gemma":[0.99567294,0.003188083,0.000008391744,0.0003444759,0.00025021037,0.00007818003,0.000018790332,0.000035018627,0.00040390214],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99680877,0.00015422991,0.00058029155,0.0005415915,0.0005946374,0.0013204782],"domain_scores_gemma":[0.998151,0.00033873998,0.000104586245,0.00043109024,0.0001054814,0.000869081],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0013324152,0.0003418573,0.00038804434,0.0036268856,0.00084799493,0.00024057941,0.0012114408,0.00018164933,0.00017086761],"category_scores_gemma":[0.00016110406,0.00028177933,0.00020854198,0.006675879,0.0027492621,0.0005764635,0.000029447901,0.0007560734,0.000008012047],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001931667,0.000011663517,0.9780906,0.00009733012,0.000080089114,0.000048954804,0.01169764,0.000008665882,0.000014304489,0.00613413,0.0006010663,0.00319626],"study_design_scores_gemma":[0.00024025289,0.000080727536,0.95280886,0.00042263127,0.000050975377,0.0000018967771,0.038929865,0.0000068877,0.00003349347,0.001008762,0.006083157,0.00033248882],"about_ca_topic_score_codex":0.85377103,"about_ca_topic_score_gemma":0.99729043,"teacher_disagreement_score":0.14351942,"about_ca_system_score_codex":0.0002301004,"about_ca_system_score_gemma":0.00085657294,"threshold_uncertainty_score":0.99996465},"labels":[],"label_agreement":null},{"id":"W4404213650","doi":"10.1016/j.rtbm.2024.101234","title":"Effects of Covid-19 pandemic restrictions on zonal transit demand: Evidence from a low-density city","year":2024,"lang":"en","type":"article","venue":"Research in Transportation Business & Management","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Transit (satellite); Business; Geography; Virology; Medicine; Transport engineering; Public transport; Engineering; Outbreak; Infectious disease (medical specialty)","score_opus":0.12520509681518202,"score_gpt":0.4238634852038181,"score_spread":0.2986583883886361,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404213650","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9770001,0.001132484,0.017408304,0.0023422576,0.00029307953,0.0012639689,0.00004046947,0.000149547,0.00036978308],"genre_scores_gemma":[0.99587774,0.0034559043,0.00014187131,0.00004394433,0.00010906764,0.00011349231,0.00006729461,0.000014104567,0.00017660738],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9963565,0.00041083802,0.00052812794,0.00065341516,0.0015473632,0.00050375157],"domain_scores_gemma":[0.99746156,0.0017543905,0.000060304938,0.0002551843,0.00022940626,0.0002391297],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003732829,0.00016124368,0.0002564375,0.00065261824,0.00037623232,0.00010857581,0.0004010084,0.0001329719,0.00017532741],"category_scores_gemma":[0.00017698448,0.00015853508,0.00010730872,0.00320561,0.00042681576,0.00067253376,0.000008839225,0.00041525,0.0000151631],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013346542,0.0011687168,0.9197241,0.008080579,0.00020102916,0.0017612375,0.022462858,0.0026191396,0.0015302327,0.01446007,0.00045256177,0.026204793],"study_design_scores_gemma":[0.00046495287,0.000020397245,0.98793155,0.0013616033,0.00006289595,5.77926e-8,0.000675117,0.00005453365,0.00020865172,0.007900696,0.0011727313,0.0001468299],"about_ca_topic_score_codex":0.037822876,"about_ca_topic_score_gemma":0.06282329,"teacher_disagreement_score":0.068207406,"about_ca_system_score_codex":0.00049812027,"about_ca_system_score_gemma":0.0005045411,"threshold_uncertainty_score":0.96858436},"labels":[],"label_agreement":null},{"id":"W4404229902","doi":"10.3390/jrfm17110506","title":"Cycling, Economic Growth, and Sustainability: A Comparative Analysis of Slovenia and Belgium","year":2024,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Javna Agencija za Raziskovalno Dejavnost RS","keywords":"Cycling; Sustainability; Natural resource economics; Economics; Geography; Ecology; Forestry; Biology","score_opus":0.00921548726389958,"score_gpt":0.28613919074768485,"score_spread":0.27692370348378526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404229902","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99332124,0.0031678048,0.0021010025,0.00022882664,0.0001483382,0.0001148261,0.000016684027,0.0000053328845,0.0008959231],"genre_scores_gemma":[0.9959143,0.003728829,0.00018485906,0.000010781097,0.00009849624,0.000001144041,6.546685e-7,0.0000020186658,0.000058920476],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99919426,0.000060157134,0.0003462346,0.00015392712,0.00012582651,0.00011956645],"domain_scores_gemma":[0.99954814,0.0000989781,0.00016703435,0.000053011598,0.00005944794,0.000073394476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008048105,0.00007676063,0.00033414675,0.00028968777,0.00014601936,0.00008282911,0.00007428576,0.000040785657,0.000012949754],"category_scores_gemma":[0.00003502335,0.00006454391,0.000101306265,0.00030476664,0.00027064694,0.00024034554,0.00003338549,0.00011358391,1.6060308e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009957825,0.000054961074,0.9114813,0.00021833251,0.0003567573,0.00003312566,0.016354052,0.000031940617,0.0000017008372,0.03768761,0.00013429385,0.033546347],"study_design_scores_gemma":[0.00024372939,0.000075854514,0.9609315,0.00003635733,0.0014420559,3.5877798e-7,0.0043037166,0.0001723567,0.000007431048,0.020285798,0.012409373,0.00009148637],"about_ca_topic_score_codex":0.0008794822,"about_ca_topic_score_gemma":0.0016180107,"teacher_disagreement_score":0.04945018,"about_ca_system_score_codex":0.000048177386,"about_ca_system_score_gemma":0.000071319235,"threshold_uncertainty_score":0.2632024},"labels":[],"label_agreement":null},{"id":"W4404257676","doi":"10.5206/ijoh.2023.3.17648","title":"Keeping Clean: A Qualitative Analysis of Water, Sanitation, and Hygiene Among Residents of Recreational Vehicles in Seattle, WA US","year":2024,"lang":"en","type":"article","venue":"International Journal on Homelessness","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Child Health and Human Development; Center for Studies in Demography and Ecology, University of Washington; Eunice Kennedy Shriver National Institute of Child Health and Human Development; Achievement Rewards for College Scientists Foundation; University of Washington; National Institutes of Health; National Science Foundation","keywords":"Sanitation; Hygiene; Recreation; Clean water; Environmental health; Qualitative analysis; Qualitative research; Geography; Medicine; Environmental science; Engineering; Environmental engineering; Waste management; Sociology; Ecology; Biology","score_opus":0.02783163076191187,"score_gpt":0.3803317943224625,"score_spread":0.35250016356055064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404257676","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979404,0.00029170915,0.00026365457,0.00037203648,0.0004094378,0.00006796437,0.000049844897,0.000010399986,0.0005945346],"genre_scores_gemma":[0.9993965,0.00024986925,0.000079224716,0.000016937916,0.000101557795,0.0000040441796,0.00003501742,0.000006831493,0.000110000066],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980047,0.000270928,0.0005773518,0.0001891958,0.00081588916,0.00014197498],"domain_scores_gemma":[0.9987002,0.00045228362,0.00017502182,0.000060403432,0.00054734625,0.00006472206],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015282104,0.000087943146,0.00028588483,0.00094818464,0.0000870197,0.00012717138,0.0002730247,0.00006281585,0.00015719981],"category_scores_gemma":[0.00015285416,0.00007213266,0.00012771228,0.0006662384,0.00026332046,0.00057483074,0.000022057227,0.00017161458,0.0000015094889],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017143627,0.00014524248,0.8876666,0.000041800537,0.0007857252,0.00004517056,0.09328762,0.0008168482,0.00054382335,0.007032076,0.000007293078,0.009456413],"study_design_scores_gemma":[0.0002827294,0.000026561122,0.9741313,0.00035975475,0.00010400127,3.9673677e-7,0.01673291,0.00043444886,0.0014626991,0.006335085,0.000041710722,0.000088422465],"about_ca_topic_score_codex":0.0033227396,"about_ca_topic_score_gemma":0.007459467,"teacher_disagreement_score":0.08646472,"about_ca_system_score_codex":0.00014915697,"about_ca_system_score_gemma":0.00011369288,"threshold_uncertainty_score":0.50230104},"labels":[],"label_agreement":null},{"id":"W4404280506","doi":"10.1016/j.tra.2024.104307","title":"Developing a 15-minute city policy? Understanding differences between policies and physical barriers","year":2024,"lang":"en","type":"article","venue":"Transportation Research Part A Policy and Practice","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Transport policy; Business; Transport engineering; Environmental planning; Public transport; Engineering; Environmental science","score_opus":0.3403057092943421,"score_gpt":0.5106480593421875,"score_spread":0.17034235004784537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404280506","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9054692,0.00044967668,0.0014835661,0.08253877,0.00006129629,0.00038623775,0.00011709308,0.00014479458,0.009349385],"genre_scores_gemma":[0.99654573,0.0011166512,0.00014612498,0.00032203074,0.001196856,0.000029835946,0.00002188728,0.000013988678,0.00060689566],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99721116,0.0006324542,0.0002723932,0.00043019783,0.0007969035,0.0006568749],"domain_scores_gemma":[0.99507415,0.004164187,0.000056258858,0.00011792443,0.00013764242,0.0004498487],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0026173035,0.00016072726,0.00023230998,0.00042909116,0.0014720587,0.0006102593,0.00017144717,0.00012456228,0.000046042034],"category_scores_gemma":[0.001619133,0.0001460728,0.0000541511,0.0015083649,0.0012920512,0.0014547202,0.000012791572,0.0005071654,0.0000059355757],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000911717,0.000024670968,0.12787472,0.00022604418,0.00010720146,0.000024337725,0.14452034,6.3835967e-7,0.000033507506,0.7242018,0.00035725575,0.002538296],"study_design_scores_gemma":[0.0004560675,0.0001489381,0.4359703,0.00032159264,0.00015307625,0.0000016853415,0.07692583,0.00006666624,0.00010585852,0.22084655,0.26445448,0.00054894557],"about_ca_topic_score_codex":0.04177541,"about_ca_topic_score_gemma":0.009144061,"teacher_disagreement_score":0.50335526,"about_ca_system_score_codex":0.00024339893,"about_ca_system_score_gemma":0.0018002472,"threshold_uncertainty_score":0.99982786},"labels":[],"label_agreement":null},{"id":"W4404312506","doi":"10.1017/9781009072021.004","title":"(In)Equitable Shifts","year":2024,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science","score_opus":0.028806060699984707,"score_gpt":0.24503462936867781,"score_spread":0.2162285686686931,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404312506","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00061514473,0.0005365764,0.000013853884,0.00009820265,0.00068193127,0.000371039,0.00016370963,0.00017341305,0.9973461],"genre_scores_gemma":[0.014492107,0.00010996113,0.000013965582,0.00005446417,0.00031125007,5.7690477e-7,0.000019232015,0.000031877105,0.9849666],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99837357,0.000028389972,0.0001895677,0.0005681371,0.0003712706,0.0004690901],"domain_scores_gemma":[0.9992537,0.000052631352,0.00008896156,0.00034721056,0.00007417119,0.00018331419],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002981439,0.00025910142,0.00034469127,0.00019851672,0.0002924418,0.00009549307,0.0006305614,0.00045980528,0.00007868418],"category_scores_gemma":[0.0000059964386,0.0003123931,0.00022452863,0.000020642861,0.00048194235,0.00024632743,0.00017902078,0.0005658149,0.00008881746],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000263931,0.000008185753,0.000047371817,0.00008980883,0.00003708564,0.00066538766,0.0004826345,3.041286e-7,0.000002896598,0.97258496,0.025867557,0.00018740587],"study_design_scores_gemma":[0.00017540791,0.000010327392,0.00007614037,0.00017921752,0.00011571252,2.2066283e-7,0.000138852,0.000002903669,0.000014132287,0.0006635596,0.9982862,0.0003373446],"about_ca_topic_score_codex":0.0046192342,"about_ca_topic_score_gemma":0.000884015,"teacher_disagreement_score":0.9724186,"about_ca_system_score_codex":0.00041119507,"about_ca_system_score_gemma":0.00030388692,"threshold_uncertainty_score":0.9999328},"labels":[],"label_agreement":null},{"id":"W4404319183","doi":"10.1080/23748834.2024.2414555","title":"Proximity planning for healthier cities: lessons from Barcelona, Bergamo, Ottawa, and Portland","year":2024,"lang":"en","type":"article","venue":"Cities & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"European Commission","keywords":"Political science; Geography","score_opus":0.05455889832537321,"score_gpt":0.37706295759699443,"score_spread":0.32250405927162124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404319183","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91980344,0.025627267,0.0026006708,0.038442582,0.0014619245,0.0012288555,0.00097255385,0.00044769808,0.0094149895],"genre_scores_gemma":[0.9926171,0.00044406005,0.0006889065,0.0015816856,0.0008976568,0.00007946369,0.00015147013,0.000025460813,0.003514211],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99800164,0.00012165742,0.00042657682,0.0004958308,0.00030104644,0.0006532277],"domain_scores_gemma":[0.9988505,0.00046944804,0.0000957094,0.00017795929,0.000056036693,0.00035033698],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012672411,0.00016918128,0.00034649073,0.00008534206,0.001187058,0.00023226076,0.00017619978,0.00013801553,0.00020786455],"category_scores_gemma":[0.000060277034,0.0001601531,0.000081790495,0.00017720631,0.00044090065,0.00042116502,0.000022534188,0.00026564577,0.0000042565825],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011801959,0.00010163115,0.52943224,0.00285027,0.00011362407,0.000028011254,0.25829136,0.0000048067823,0.000007957536,0.07569456,0.07240523,0.060952295],"study_design_scores_gemma":[0.0005816089,0.0001888924,0.25541243,0.0007080047,0.000044295168,9.725048e-7,0.032029837,0.00021146,0.000021154949,0.08691684,0.62337667,0.0005078081],"about_ca_topic_score_codex":0.02706654,"about_ca_topic_score_gemma":0.019983305,"teacher_disagreement_score":0.55097145,"about_ca_system_score_codex":0.0001954227,"about_ca_system_score_gemma":0.0014136791,"threshold_uncertainty_score":0.9978995},"labels":[],"label_agreement":null},{"id":"W4404336422","doi":"10.1098/rsta.2024.0102","title":"Analysing macroscopic traffic rhythms and city size in affluent cities: insights from a global panel data of 25 cities","year":2024,"lang":"en","type":"article","venue":"Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Xunta de Galicia; Ministerio de Ciencia e Innovación","keywords":"Geography; Economic geography; Urbanization; Regional science; Situated; Scale (ratio); Population; Corporate governance; East Asia; Citizen journalism; Megacity; Global city; Economic growth; Environmental planning; Economy; Political science; Business; Cartography; China; Sociology; Demography; Economics; Computer science","score_opus":0.04543542843606868,"score_gpt":0.29630674433624055,"score_spread":0.25087131590017187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404336422","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99144,0.0006321047,0.0056107296,0.0017518656,0.00008482306,0.00012570228,0.0001041493,0.000047254773,0.00020334862],"genre_scores_gemma":[0.99858594,0.000037101145,0.0012457462,0.000013743496,0.000095713454,0.000005466948,0.0000010848627,0.0000044805456,0.000010698069],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99863076,0.00004329028,0.00030489187,0.00035964887,0.00044921538,0.0002121986],"domain_scores_gemma":[0.99892116,0.00073071296,0.000038344842,0.00019634113,0.000019698065,0.00009373042],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030844423,0.00014110203,0.00034497175,0.000019305202,0.00024831056,0.00009216919,0.00040666995,0.00008271278,0.000023961806],"category_scores_gemma":[0.00008650318,0.00009507481,0.00017342916,0.0006484224,0.0018277926,0.0002861686,0.00004641942,0.00023092792,3.1691656e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012531616,0.0045417324,0.015094377,0.010396733,0.0017563279,0.000020346513,0.19048272,0.11421682,0.0041521313,0.64217156,0.000048324076,0.016993623],"study_design_scores_gemma":[0.00020792951,0.000050480972,0.017050697,0.0006603189,0.00018512651,4.3910225e-7,0.0018186277,0.5812938,0.000109740875,0.39836884,0.000019940006,0.0002340742],"about_ca_topic_score_codex":0.00042197178,"about_ca_topic_score_gemma":0.000054120803,"teacher_disagreement_score":0.467077,"about_ca_system_score_codex":0.000034636683,"about_ca_system_score_gemma":0.000070813774,"threshold_uncertainty_score":0.6734578},"labels":[],"label_agreement":null},{"id":"W4404419207","doi":"10.3390/ijerph21111519","title":"How Built Environment Characteristics Influence Social Interactions During Neighbourhood Walks Among Urban Inhabitants","year":2024,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"Social Sciences and Humanities Research Council; Social Sciences and Humanities Research Council of Canada","keywords":"Neighbourhood (mathematics); Geography; Built environment; Environmental health; Medicine; Ecology; Biology; Mathematics","score_opus":0.05418423693688047,"score_gpt":0.3795859279873731,"score_spread":0.32540169105049266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404419207","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97377336,0.0006801104,0.00010951501,0.024361273,0.0004307854,0.00013866171,0.00010636759,0.000012924508,0.00038698709],"genre_scores_gemma":[0.99618256,0.0018049855,0.000039419876,0.00008206178,0.0011092268,0.0000062622557,0.0000145136055,0.000012867552,0.0007480917],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99695766,0.00029932606,0.0004452739,0.00023279394,0.0015561194,0.00050883443],"domain_scores_gemma":[0.99897057,0.00017004856,0.00018545693,0.00008022089,0.000074762436,0.00051894365],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019561683,0.00011138107,0.0001749704,0.00035409848,0.00063476723,0.00089670625,0.00046189647,0.00006782131,0.00056981045],"category_scores_gemma":[0.00017513617,0.00010195952,0.00008702774,0.00013533536,0.0007614994,0.0017387568,0.00011317242,0.0007784481,0.000012389964],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006485867,0.00061153533,0.9142779,0.000046124776,0.00016179489,0.00018101047,0.009437507,3.976424e-7,0.0013395948,0.0010725203,0.0003290459,0.07247772],"study_design_scores_gemma":[0.00021111357,0.00010134228,0.9635194,0.000070357666,0.000003206643,0.000012265726,0.0037208777,0.000012679501,0.000027814996,0.0006569885,0.031577393,0.00008658148],"about_ca_topic_score_codex":0.00048458404,"about_ca_topic_score_gemma":0.00030463818,"teacher_disagreement_score":0.07239114,"about_ca_system_score_codex":0.0012376957,"about_ca_system_score_gemma":0.00042634094,"threshold_uncertainty_score":0.8646959},"labels":[],"label_agreement":null},{"id":"W4404456293","doi":"10.52842/conf.caadria.2024.2.475","title":"The Effects of Curbside Cafés on Bike Travel Behaviours: Spatiotemporal Evidence from Toronto","year":2024,"lang":"en","type":"article","venue":"Proceedings of the International Conference on Computer-Aided Architectural Design Research in Asia","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Transport engineering; Engineering","score_opus":0.13748440975375964,"score_gpt":0.4046324527084727,"score_spread":0.26714804295471306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404456293","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98694396,0.00043695988,0.00046670585,0.0075730053,0.0010025306,0.0009932929,0.000020348376,0.00003941524,0.0025238032],"genre_scores_gemma":[0.99833673,0.00017738897,0.00086747424,0.000025299903,0.0002894466,0.000055778786,0.0000023940677,0.000013096496,0.00023238428],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99644715,0.00025914237,0.00047290899,0.0004824474,0.0019240022,0.00041434518],"domain_scores_gemma":[0.99557465,0.0033987483,0.00015990905,0.0001856355,0.0005788867,0.000102145474],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025695963,0.00018476126,0.00023217026,0.00016902064,0.00029806464,0.00041931708,0.0023189834,0.0000803743,0.000052796368],"category_scores_gemma":[0.00076815503,0.00011342305,0.00015181991,0.00040084,0.00077360094,0.00040898193,0.00018876203,0.00068518193,0.0000046731507],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0028281247,0.0008249789,0.103373736,0.0006694805,0.00038792766,0.000063530984,0.037895992,0.00016384134,0.098358616,0.2409515,0.0037457675,0.5107365],"study_design_scores_gemma":[0.0008974016,0.0018417332,0.57858557,0.020941118,0.000043289063,0.0000033724687,0.0019921002,0.028475562,0.17404838,0.1922945,0.00025968687,0.0006172963],"about_ca_topic_score_codex":0.020921223,"about_ca_topic_score_gemma":0.0049577993,"teacher_disagreement_score":0.5101192,"about_ca_system_score_codex":0.0003733573,"about_ca_system_score_gemma":0.00043644186,"threshold_uncertainty_score":0.98559856},"labels":[],"label_agreement":null},{"id":"W4404487004","doi":"10.1111/cag.12961","title":"Alone together? A time use approach for examining socializing when travel is limited","year":2024,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"University of Toronto","keywords":"Time travel; Computer science; Travel time; Psychology; Transport engineering; Artificial intelligence; Engineering","score_opus":0.03622919282677074,"score_gpt":0.2459516765805155,"score_spread":0.20972248375374475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404487004","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97733396,0.005072706,0.00021829354,0.0027056595,0.0010118952,0.0015005992,0.0012817533,0.00053637684,0.010338733],"genre_scores_gemma":[0.9912336,0.00055114366,0.0016033323,0.0011246266,0.00062931405,0.00027048195,0.00036346563,0.00011113049,0.0041129002],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99599916,0.00012542975,0.0005296054,0.0010366455,0.0004006103,0.0019085478],"domain_scores_gemma":[0.9973242,0.00043099004,0.00009911267,0.0004695508,0.00027492578,0.001401173],"candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0009482382,0.0004885192,0.00056592026,0.0031156854,0.0021237645,0.0010617359,0.000723713,0.0004365391,0.00036035926],"category_scores_gemma":[0.00017546368,0.0005253637,0.0005731114,0.0047106994,0.0021869307,0.0010502836,0.000022896145,0.00032978939,0.000009843264],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014021383,0.00014236163,0.5598681,0.0008234468,0.0019091765,0.00024905967,0.20179892,0.000011883516,0.00024056765,0.031734053,0.15332367,0.049758554],"study_design_scores_gemma":[0.00095957884,0.00025880162,0.22143756,0.00039926005,0.0007860685,0.000009948677,0.08843142,0.0007027885,0.00007219319,0.015437435,0.6685446,0.002960365],"about_ca_topic_score_codex":0.8565056,"about_ca_topic_score_gemma":0.986545,"teacher_disagreement_score":0.51522094,"about_ca_system_score_codex":0.00023622446,"about_ca_system_score_gemma":0.00086425734,"threshold_uncertainty_score":0.99997526},"labels":[],"label_agreement":null},{"id":"W4404500020","doi":"10.1080/13604813.2024.2420527","title":"A new urbanity in a suburban region: the perceived (im)possibilities of light rail among residents and stakeholders in Canada’s Waterloo Region","year":2024,"lang":"en","type":"article","venue":"City","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Canada Research Chairs","keywords":"Urbanity; Light rail; Geography; Environmental planning; Business; Regional science; Economic geography; Political science; Economy; Economics; Law; Public transport","score_opus":0.05372559266206994,"score_gpt":0.25812206131858995,"score_spread":0.20439646865652,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404500020","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9942972,0.00089167757,0.0000062385043,0.00260898,0.0001864899,0.00032723186,0.0000037092525,0.000025955987,0.0016524949],"genre_scores_gemma":[0.99568725,0.000064752305,0.0000049502532,0.000039492203,0.00006942986,0.000006731727,0.0000020196683,0.000007115058,0.0041182525],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984444,0.00022398606,0.0003453917,0.00034461034,0.0003359016,0.0003057071],"domain_scores_gemma":[0.9994134,0.0001327581,0.000057529127,0.0002458667,0.00003740367,0.00011308781],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060077687,0.00012200514,0.00022228766,0.00007766217,0.00016215557,0.00009184582,0.00028123418,0.00008549153,0.000054952772],"category_scores_gemma":[0.000091350244,0.0000903835,0.000051354546,0.00039481538,0.0003768009,0.00039518884,0.000029142262,0.00026371077,4.0036628e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029642955,0.000013629134,0.9373376,0.000065304055,0.000006099669,0.00007099602,0.059004165,8.01768e-7,0.000019916863,0.00017164202,0.0026440814,0.00063614],"study_design_scores_gemma":[0.00020052974,0.000010409012,0.9800806,0.00018772781,0.0000105338095,4.8308874e-7,0.015404761,0.000017707614,0.0000821467,0.0034436902,0.00045341652,0.0001079879],"about_ca_topic_score_codex":0.9929576,"about_ca_topic_score_gemma":0.99905235,"teacher_disagreement_score":0.043599404,"about_ca_system_score_codex":0.00045656427,"about_ca_system_score_gemma":0.0018312505,"threshold_uncertainty_score":0.36857322},"labels":[],"label_agreement":null},{"id":"W4404515112","doi":"10.1016/j.jmh.2024.100285","title":"Neighbourhood walkability and transportation and leisure physical activity by residency status: A cross-sectional analysis of nationally representative Canadian data","year":2024,"lang":"en","type":"article","venue":"Journal of Migration and Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Libin Cardiovascular Institute of Alberta; University of Calgary","funders":"Libin Cardiovascular Institute, University of Calgary; Social Sciences and Humanities Research Council of Canada; Canadian Institutes of Health Research; University of Calgary; Cumming School of Medicine, University of Calgary; Canada Foundation for Innovation","keywords":"Walkability; Neighbourhood (mathematics); Cross-sectional study; Physical activity; Environmental health; Geography; Gerontology; Medicine; Physical therapy","score_opus":0.06555301657000201,"score_gpt":0.4300654114564577,"score_spread":0.3645123948864557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404515112","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99258053,0.0013130918,0.00018402902,0.005028175,0.00004843021,0.00010657685,0.00068359653,0.0000048228785,0.000050745737],"genre_scores_gemma":[0.99857336,0.0010580479,0.00010760263,0.000033419838,0.00007271085,7.996814e-7,0.000107187196,0.0000026015962,0.000044297256],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99889594,0.000105158106,0.00031922362,0.00021224111,0.00034259114,0.00012485591],"domain_scores_gemma":[0.9991013,0.00015043054,0.00021844865,0.0000652704,0.00021236524,0.0002521866],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014252303,0.000062456675,0.00022269283,0.00019120904,0.00025741727,0.0001209738,0.000065465254,0.00005099385,0.000047139005],"category_scores_gemma":[0.00006224633,0.00005410223,0.000048214686,0.0003960862,0.00018113737,0.0009303935,0.0000036267652,0.00016192577,5.594956e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003495143,0.000053067095,0.9876588,0.000055207463,0.000110255234,0.0000010389759,0.0082010785,0.000007856229,0.000045848345,0.0009814021,0.00034225968,0.002508264],"study_design_scores_gemma":[0.0001353855,0.000050325063,0.9966639,0.000017660983,0.00009023347,3.5257403e-7,0.00072,0.0010885911,0.000007017839,0.00069682254,0.00048566272,0.00004404227],"about_ca_topic_score_codex":0.20245704,"about_ca_topic_score_gemma":0.8457813,"teacher_disagreement_score":0.6433243,"about_ca_system_score_codex":0.00010911669,"about_ca_system_score_gemma":0.0014523352,"threshold_uncertainty_score":0.8028539},"labels":[],"label_agreement":null},{"id":"W4404579259","doi":"10.1080/02697459.2024.2431768","title":"Optimizing urban density: developer positions on densification in two mid-sized cities","year":2024,"lang":"en","type":"article","venue":"Planning Practice and Research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Economic geography; Architectural engineering; Business; Environmental planning; Civil engineering; Regional science; Geography; Engineering","score_opus":0.14284754624719512,"score_gpt":0.48003953216177775,"score_spread":0.33719198591458266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404579259","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94223195,0.0022552044,0.00014704648,0.012914238,0.00016844616,0.00023495364,0.0000030281603,0.00008157188,0.041963544],"genre_scores_gemma":[0.9970644,0.00020393958,0.0010109502,0.00013030427,0.0001767642,0.00002000135,0.000012284988,0.000008573124,0.001372784],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99818015,0.00051280105,0.00015549887,0.00029862495,0.0005193383,0.0003335921],"domain_scores_gemma":[0.9973682,0.0022316477,0.000021895323,0.000107960026,0.00018408496,0.00008616852],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003699777,0.000069170535,0.000095623276,0.00029489104,0.0008079178,0.00053770834,0.000119417076,0.00006290243,0.00004370352],"category_scores_gemma":[0.0010068886,0.00006178752,0.000020469966,0.0006558145,0.00025334652,0.00077616406,0.000027546885,0.000610967,0.000038342707],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011227686,0.00058095437,0.39434588,0.0004115777,0.00018143925,0.0021969052,0.5058944,0.00019802291,0.0034710509,0.06347483,0.0103338715,0.017788287],"study_design_scores_gemma":[0.0018770333,0.00028424442,0.37168413,0.003213614,0.00016649476,0.000038149887,0.27263224,0.002370852,0.00432378,0.010475686,0.33171254,0.0012212435],"about_ca_topic_score_codex":0.0025722918,"about_ca_topic_score_gemma":0.0011664482,"teacher_disagreement_score":0.32137868,"about_ca_system_score_codex":0.000105540865,"about_ca_system_score_gemma":0.00035603018,"threshold_uncertainty_score":0.6213932},"labels":[],"label_agreement":null},{"id":"W4404630616","doi":"10.1016/j.trd.2024.104514","title":"Towards sustainable neighbourhoods? Tensions and heterogeneous transport priorities among suburban residents","year":2024,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"The Scarborough Hospital; McMaster University; University of Toronto","funders":"","keywords":"Environmental planning; Sustainable transport; Geography; Business; Economic geography; Transport engineering; Socioeconomics; Economic growth; Regional science; Sustainability; Sociology; Engineering; Economics; Ecology","score_opus":0.042755224471354714,"score_gpt":0.33004605167368756,"score_spread":0.28729082720233284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404630616","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98979795,0.0042497483,0.00035760136,0.0014939172,0.00015177437,0.0011230174,0.00014548902,0.00022569671,0.0024548238],"genre_scores_gemma":[0.98415923,0.008306351,0.00011345141,0.000038339655,0.00018696774,0.00017992113,0.00022997915,0.0000554647,0.0067303195],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9954679,0.00016727239,0.0006817157,0.0010033402,0.0014755176,0.001204243],"domain_scores_gemma":[0.9987137,0.00012717773,0.00004898679,0.00032430238,0.000095397896,0.00069048465],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0018940865,0.00035304303,0.00041238446,0.00032121516,0.0013927289,0.00017981807,0.00026195607,0.00028294075,0.0012124008],"category_scores_gemma":[0.000010076167,0.00034117658,0.00017474443,0.000464054,0.0019786824,0.00096189056,0.000007986762,0.0006331601,0.000017583678],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011568843,0.00014795587,0.96545506,0.0006152728,0.00011029291,0.0011202722,0.020383801,0.00006771484,0.00007354102,0.009139132,0.00015092154,0.0026203247],"study_design_scores_gemma":[0.00039606768,0.000111822555,0.9363108,0.00015354523,0.00012981285,0.0000010550806,0.004249703,0.000028258059,0.00014539616,0.0038329137,0.054261368,0.00037921433],"about_ca_topic_score_codex":0.018554216,"about_ca_topic_score_gemma":0.015292472,"teacher_disagreement_score":0.054110445,"about_ca_system_score_codex":0.00014950939,"about_ca_system_score_gemma":0.0003112654,"threshold_uncertainty_score":0.9999073},"labels":[],"label_agreement":null},{"id":"W4404637679","doi":"10.24043/001c.125990","title":"Analysis of the Ferry Service Network in Hong Kong","year":2024,"lang":"en","type":"article","venue":"Island Studies Journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Service (business); Tourism; Transport engineering; Business; Network analysis; Investment (military); Social network analysis; Flow network; Regional science; Telecommunications; Geography; Computer science; Engineering; Marketing; Political science; World Wide Web; Politics","score_opus":0.04300069797463994,"score_gpt":0.35569094550535796,"score_spread":0.312690247530718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404637679","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.979482,0.011487256,0.000023008279,0.0027769364,0.000801361,0.00004733233,0.000004077091,0.000009211085,0.0053688036],"genre_scores_gemma":[0.99833286,0.0007844528,0.000011284573,0.00008700334,0.0003940636,9.668556e-7,2.933792e-7,0.0000025216323,0.00038657285],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990745,0.00012084575,0.00025209985,0.00009831136,0.00026305264,0.0001911916],"domain_scores_gemma":[0.9996024,0.0001382016,0.00006202873,0.00007778883,0.00009195591,0.000027662694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010800897,0.000058031655,0.00021630264,0.00008032519,0.00039003635,0.000067230765,0.00021292812,0.000033232438,0.00008968116],"category_scores_gemma":[0.000040705927,0.000033184315,0.00016481722,0.0020387473,0.00011372193,0.0001363128,0.000028895496,0.00022153214,0.0000012773457],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005418712,0.00001056596,0.975193,0.000016780232,0.00061674503,0.000012777839,0.021350326,0.0007938504,0.0000015535705,0.00024023141,0.0009149849,0.00084376056],"study_design_scores_gemma":[0.00007022339,0.000004188061,0.9858343,0.00011496834,0.00039709243,3.539798e-7,0.0064234617,0.00025275827,0.0000011156825,0.0023817795,0.0044662296,0.00005352082],"about_ca_topic_score_codex":0.00055330526,"about_ca_topic_score_gemma":0.1734263,"teacher_disagreement_score":0.172873,"about_ca_system_score_codex":0.00005468628,"about_ca_system_score_gemma":0.00008362455,"threshold_uncertainty_score":0.8416565},"labels":[],"label_agreement":null},{"id":"W4404659657","doi":"10.1016/j.trd.2024.104519","title":"Travel behaviour and greenhouse gas impacts of income-conditioned e-bike purchase incentives","year":2024,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Vancouver Community College; University of British Columbia","funders":"","keywords":"Incentive; Greenhouse gas; Economics; Natural resource economics; Environmental science; Business; Agricultural economics; Microeconomics; Geology","score_opus":0.039981777150234515,"score_gpt":0.34144023895523423,"score_spread":0.3014584618049997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404659657","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953509,0.0018117377,0.00040346515,0.0008156117,0.00007783051,0.00067012745,0.00042102538,0.00006610738,0.00038317236],"genre_scores_gemma":[0.9921797,0.0068420894,0.00011718018,0.000011804512,0.00007183931,0.000076167846,0.0002818311,0.000026494425,0.00039289144],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99727,0.00012272481,0.0005465007,0.000554935,0.0009713867,0.0005344785],"domain_scores_gemma":[0.99917537,0.00011999736,0.0000571758,0.00019306813,0.00004705983,0.00040734856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014051591,0.00020504722,0.00029825373,0.00025010915,0.00047248055,0.000056002053,0.00015448242,0.00015660701,0.0009054173],"category_scores_gemma":[0.000005941386,0.0001952341,0.00010810142,0.00033223064,0.0015776778,0.0005839819,0.0000042943716,0.0003598956,0.000010557027],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001377639,0.0002949947,0.9691355,0.00037623543,0.00006517235,0.0001123513,0.021903455,0.000006334943,0.00095255306,0.0034389035,0.00003288904,0.003543799],"study_design_scores_gemma":[0.00055094075,0.00015132499,0.9906137,0.00015354708,0.00009049201,3.1447536e-7,0.002573062,0.0000128101265,0.00089135615,0.001936021,0.002821644,0.00020476514],"about_ca_topic_score_codex":0.005147629,"about_ca_topic_score_gemma":0.007233058,"teacher_disagreement_score":0.021478174,"about_ca_system_score_codex":0.00006135951,"about_ca_system_score_gemma":0.00013691808,"threshold_uncertainty_score":0.9913685},"labels":[],"label_agreement":null},{"id":"W4404776856","doi":"10.1186/s12887-024-05236-6","title":"Feeling safe: a critical look at the effect of neighborhood safety features and perceptions on childhood symptoms of depression","year":2024,"lang":"en","type":"article","venue":"BMC Pediatrics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto; Institut National de la Recherche Scientifique; McGill University; Centre Hospitalier Universitaire Sainte-Justine; Université de Montréal; Concordia University","funders":"Fonds de Recherche du Québec - Santé; Université de Montréal; Concordia University; McGill University; Université Laval","keywords":"Medicine; Depression (economics); Feeling; Mental health; Injury prevention; Poison control; Occupational safety and health; Suicide prevention; Population; Cohort; Body mass index; Perception; Quality of life (healthcare); Gerontology; Clinical psychology; Demography; Psychiatry; Psychology; Environmental health; Social psychology","score_opus":0.0067599167275723265,"score_gpt":0.2911222630584113,"score_spread":0.284362346330839,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404776856","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99104923,0.0047013303,0.00025908384,0.00019753868,0.00029148167,0.00026012518,0.00006975658,0.000043996337,0.0031274825],"genre_scores_gemma":[0.9990895,0.00019630603,0.00005266231,0.000014834091,0.00043922954,0.000006970774,0.000008915547,0.000009533432,0.0001820595],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99871916,0.00019889229,0.00023636848,0.0002557951,0.0003962773,0.00019348424],"domain_scores_gemma":[0.99780184,0.0018454953,0.000044681972,0.00018527421,0.000041846415,0.000080848054],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007169067,0.00011178464,0.0001820607,0.00006758019,0.0003762352,0.000042989293,0.00016687627,0.00013096607,0.00015352752],"category_scores_gemma":[0.0005389407,0.000069165915,0.00013313841,0.000349354,0.0003153142,0.00011679221,0.000049102986,0.0002044362,0.0000062025406],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006323545,0.00004469014,0.99294055,0.0002409454,0.0000070732867,0.0000011881704,0.002604697,0.00001494767,0.000051242958,0.0011217386,0.00023337956,0.0026762998],"study_design_scores_gemma":[0.00022968087,0.0001483526,0.9980597,0.00007202977,0.00020702071,8.541847e-7,0.00030808809,0.000044963665,0.00017249443,0.0005197379,0.00013621099,0.000100898396],"about_ca_topic_score_codex":0.00014626418,"about_ca_topic_score_gemma":0.00040276456,"teacher_disagreement_score":0.008040284,"about_ca_system_score_codex":0.00004240541,"about_ca_system_score_gemma":0.00011660303,"threshold_uncertainty_score":0.28937352},"labels":[],"label_agreement":null},{"id":"W4404796339","doi":"10.3138/9781487549602","title":"Wheeling through Toronto","year":2024,"lang":"en","type":"book","venue":"University of Toronto Press eBooks","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Wheeling; Engineering; Electrical engineering","score_opus":0.029273402955409714,"score_gpt":0.2632901936067248,"score_spread":0.2340167906513151,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404796339","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00005666269,0.018404312,0.000085484484,0.000020822908,0.00067659264,0.00035604901,0.000120287164,0.00019026529,0.98008955],"genre_scores_gemma":[0.0013849308,0.0012946604,0.00038400898,0.000018101739,0.00041676642,3.205178e-7,0.000028175462,0.000025859114,0.9964472],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983892,0.00006946973,0.00021397587,0.00049207616,0.0005158923,0.00031941166],"domain_scores_gemma":[0.99906445,0.000060508664,0.0001895045,0.0004068201,0.00015178695,0.00012696358],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00023886224,0.00024433443,0.00042869963,0.0000074743193,0.0003481168,0.00005225312,0.0008480774,0.0004963028,0.0020062083],"category_scores_gemma":[0.0000073842534,0.00029293282,0.00034257534,0.0000016345117,0.00056003453,0.0005340148,0.00015142179,0.00021981564,0.000014844868],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021545839,0.00010663918,0.00011052552,0.0012749634,0.000776871,0.00018349098,0.37895414,0.0000034546435,0.000026374437,0.33060715,0.26995665,0.017784292],"study_design_scores_gemma":[0.00015863638,0.000023987637,0.000030285706,0.00027467895,0.00027898388,7.72102e-8,0.001286552,0.0000037110538,0.000011673767,0.0029029956,0.9947375,0.00029093077],"about_ca_topic_score_codex":0.82456,"about_ca_topic_score_gemma":0.83969754,"teacher_disagreement_score":0.72478086,"about_ca_system_score_codex":0.0015284797,"about_ca_system_score_gemma":0.00074392837,"threshold_uncertainty_score":0.99995226},"labels":[],"label_agreement":null},{"id":"W4404808032","doi":"10.1370/afm.22.s1.7180","title":"Parental Support and the Built Environment: A 4-Way Decomposition Analysis of Children’s Physical Activity","year":2024,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Decomposition; Computer science; Chemistry","score_opus":0.011200160796485831,"score_gpt":0.30371611010327004,"score_spread":0.2925159493067842,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404808032","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99472934,0.000059370173,0.0003269554,0.00052230776,0.000025961952,0.00012212477,0.000031220974,0.000028418954,0.0041542714],"genre_scores_gemma":[0.99965155,0.000033784683,0.000013735228,0.000016094396,0.000052341016,0.000006002661,0.000018079078,0.0000023517014,0.00020604896],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993601,0.00007331193,0.000080431964,0.00017788642,0.00020703083,0.00010123924],"domain_scores_gemma":[0.99973637,0.00009486649,0.000025601666,0.00009907051,0.0000046457403,0.000039423838],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002809359,0.00005699463,0.00015561306,0.000044953194,0.00014134732,0.00005128308,0.00008902327,0.00002724457,0.0004697166],"category_scores_gemma":[0.000003314228,0.000034985216,0.00016319545,0.00025673344,0.00049471343,0.00018522544,0.00001812118,0.00006328371,0.0000051742163],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000620285,0.00028860284,0.9637606,0.000010029557,0.00073398085,0.0000015688307,0.0096400175,0.000012516695,0.0004792974,0.009066632,0.00006388536,0.015880829],"study_design_scores_gemma":[0.00013075308,0.000010950724,0.9961862,0.0000021037088,0.0006931932,7.017661e-8,0.00020204337,0.0013604234,0.00067721243,0.0005590626,0.00012335567,0.000054607754],"about_ca_topic_score_codex":0.0043300586,"about_ca_topic_score_gemma":0.0018364259,"teacher_disagreement_score":0.032425612,"about_ca_system_score_codex":0.000023668406,"about_ca_system_score_gemma":0.000018510344,"threshold_uncertainty_score":0.6545782},"labels":[],"label_agreement":null},{"id":"W4404818588","doi":"10.1016/j.jth.2024.101957","title":"Understanding COVID-19 pandemic-related shifts in active commute patterns: Insights from employees of a Canadian university","year":2024,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Queen's University","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Virology; Medicine; Outbreak; Infectious disease (medical specialty); Internal medicine","score_opus":0.138639840231729,"score_gpt":0.34052446542831716,"score_spread":0.20188462519658815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404818588","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9913453,0.0009961562,0.0010965891,0.0051422343,0.00036679153,0.00018870512,0.0002413199,0.00003003058,0.0005929122],"genre_scores_gemma":[0.99790597,0.0016805296,0.000053982913,0.00024356692,0.000055635985,1.8788592e-7,0.000024159668,0.000009724601,0.000026264783],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99818504,0.0002549095,0.00065729866,0.00018595665,0.00039519666,0.00032160428],"domain_scores_gemma":[0.99859065,0.00021602954,0.00028778327,0.00010844349,0.00005580268,0.00074130454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00092322193,0.00012001835,0.00042816764,0.00088204973,0.0002831739,0.000019229788,0.000343245,0.00015611513,0.00019261969],"category_scores_gemma":[0.00001916034,0.00011368914,0.00016832004,0.0010579937,0.00018820769,0.0005578938,0.0000036475908,0.0005856289,8.280463e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011083468,0.00006927147,0.91268617,0.00011548371,0.00008287567,0.00043608368,0.0842614,0.00004536657,0.000008526274,0.0017898093,0.000088871,0.00030531094],"study_design_scores_gemma":[0.000786888,0.000117503274,0.95385283,0.0006336584,0.00006095628,0.0000012764825,0.024681443,0.000011324461,0.0000041705916,0.007835337,0.011862108,0.00015251273],"about_ca_topic_score_codex":0.7861652,"about_ca_topic_score_gemma":0.9826445,"teacher_disagreement_score":0.19647937,"about_ca_system_score_codex":0.0027886303,"about_ca_system_score_gemma":0.00736163,"threshold_uncertainty_score":0.9982657},"labels":[],"label_agreement":null},{"id":"W4404982367","doi":"10.1080/13683500.2024.2435412","title":"A longitudinal study of COVID-19 impacts on Canadian older adults’ travel experiences and perspectives","year":2024,"lang":"en","type":"article","venue":"Current Issues in Tourism","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Regina","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Tourism; Geography; Pandemic; Longitudinal study; Economic geography; Demographic economics; Medicine; Economics; Virology; Outbreak","score_opus":0.06077843252015335,"score_gpt":0.3941513612989328,"score_spread":0.33337292877877944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404982367","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9772926,0.0195522,0.000006231601,0.0011772129,0.0005360542,0.00046042682,0.000012451245,0.000030930543,0.0009318883],"genre_scores_gemma":[0.99917966,0.00041646845,0.000007906326,0.000011633389,0.00023661938,0.0000401553,0.0000021917594,0.0000063404195,0.00009902512],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9986523,0.00010804411,0.00021605242,0.00041315646,0.00031179495,0.00029869442],"domain_scores_gemma":[0.99935615,0.000090068905,0.000035279874,0.0001333416,0.00003577326,0.00034935982],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004256605,0.00012779472,0.00019827283,0.00024635426,0.00020066707,0.00009976216,0.00020422482,0.000058404294,0.000325876],"category_scores_gemma":[0.00014408263,0.00010927747,0.000040179348,0.000381768,0.00031877524,0.00022669425,0.0000134702805,0.00018882232,0.0000029594873],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016193577,0.00028476317,0.28910783,0.00007511401,0.00000801252,0.00004073909,0.7066273,6.331963e-7,3.7697512e-7,0.0004528191,0.0007523653,0.0026338224],"study_design_scores_gemma":[0.0003086072,0.00012000426,0.50515306,0.00019032133,0.000011423438,2.1600412e-7,0.49141678,0.000014433229,0.000008927417,0.00040710135,0.0022369127,0.000132215],"about_ca_topic_score_codex":0.3651751,"about_ca_topic_score_gemma":0.5161837,"teacher_disagreement_score":0.2160452,"about_ca_system_score_codex":0.00021623423,"about_ca_system_score_gemma":0.00045235778,"threshold_uncertainty_score":0.6390523},"labels":[],"label_agreement":null},{"id":"W4405006632","doi":"10.1016/j.aap.2024.107850","title":"A discrete choice latent class method for capturing unobserved heterogeneity in cyclist crossing behaviour at crosswalks","year":2024,"lang":"en","type":"article","venue":"Accident Analysis & Prevention","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Poison control; Transport engineering; Latent class model; Computer science; Class (philosophy); Statistics; Engineering; Simulation; Econometrics; Mathematics; Artificial intelligence; Medicine; Medical emergency","score_opus":0.0500471861098153,"score_gpt":0.41461608138096406,"score_spread":0.3645688952711488,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405006632","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97150916,0.0008829012,0.026104717,0.00046785167,0.0002611111,0.0005295836,0.0000050027825,0.00012291255,0.000116791096],"genre_scores_gemma":[0.9952284,0.000022189728,0.0012987852,0.000029832509,0.00017150588,0.00010970629,0.00021442298,0.000019437355,0.0029056936],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99734056,0.000333718,0.00068407203,0.0007267923,0.00043946886,0.00047539835],"domain_scores_gemma":[0.9990909,0.00018835164,0.00018934517,0.0003021088,0.00010872276,0.000120565615],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0024538848,0.00020050902,0.0004047568,0.0003092086,0.0008327415,0.0010611583,0.00032992612,0.0001725159,0.00022355374],"category_scores_gemma":[0.00010798249,0.00019601805,0.00097679,0.001319719,0.00011426617,0.0008977178,0.00007678905,0.0001788205,0.000007951596],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026168382,0.00006310145,0.9942206,0.000015417707,0.00030853442,0.0000070470214,0.0017260975,0.0004947653,0.000562391,0.000083281884,0.000021594475,0.0024709762],"study_design_scores_gemma":[0.00028693688,0.000012741274,0.9898859,0.0000781881,0.0015945832,1.3318045e-7,0.00019935764,0.0047260523,0.0011100377,0.0010975472,0.0007712815,0.000237188],"about_ca_topic_score_codex":0.022457708,"about_ca_topic_score_gemma":0.70190525,"teacher_disagreement_score":0.67944753,"about_ca_system_score_codex":0.0005835815,"about_ca_system_score_gemma":0.000107919324,"threshold_uncertainty_score":0.99997586},"labels":[],"label_agreement":null},{"id":"W4405061934","doi":"10.21203/rs.3.rs-5375352/v1","title":"Urban Active Transportation Behaviour is Sensitive to the Fresh Start Effect: Triangulating observational evidence from real world data","year":2024,"lang":"en","type":"preprint","venue":"Research Square","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Manitoba Hydro; University of Manitoba; Children's Hospital Research Institute of Manitoba","funders":"","keywords":"Cycling; Attendance; Demography; Names of the days of the week; Geography; Observational study; Medicine; Transport engineering; Engineering; Forestry","score_opus":0.29377273984542646,"score_gpt":0.4903481597221864,"score_spread":0.19657541987675997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405061934","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.971366,0.00029181314,0.000060282717,0.011519329,0.0005231827,0.002995878,0.012324098,0.00013352813,0.0007859254],"genre_scores_gemma":[0.9917659,0.00008620147,0.00028840496,0.00008058427,0.0018956366,0.00024407469,0.004183684,0.00004020315,0.0014152806],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99232507,0.0017613119,0.0005404346,0.0015681626,0.0030789434,0.0007261036],"domain_scores_gemma":[0.9932878,0.003902996,0.0001724886,0.0014406546,0.0008928726,0.00030321113],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0068954322,0.00030510873,0.00045183414,0.00028143372,0.0010645906,0.0006805282,0.0017894271,0.00025176673,0.00049524114],"category_scores_gemma":[0.0012475923,0.00024209515,0.00020729243,0.0016090838,0.00049903704,0.00052005384,0.00059099303,0.0023955791,0.00010413926],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005527637,0.000077369456,0.86665154,0.00029441997,0.00015619538,0.00008842964,0.09071822,0.000049041748,0.000116233874,0.00031386077,0.034081526,0.0069004092],"study_design_scores_gemma":[0.00012766325,0.00006340685,0.9878586,0.0018516133,0.00012785409,1.5383142e-8,0.0058333697,0.00031926032,0.00042674007,0.0014125961,0.001704311,0.00027459394],"about_ca_topic_score_codex":0.27841806,"about_ca_topic_score_gemma":0.5603062,"teacher_disagreement_score":0.28188813,"about_ca_system_score_codex":0.0006546369,"about_ca_system_score_gemma":0.0017454086,"threshold_uncertainty_score":0.99990594},"labels":[],"label_agreement":null},{"id":"W4405073295","doi":"10.2196/60553","title":"Adaptation of the Stakeholders’ Walkability/Wheelability Audit in Neighborhoods (SWAN) Tool for Individuals With Diverse Disabilities: Protocol for a Mixed Methods Study","year":2024,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of British Columbia; Université Laval; Centres Intégré Universitaires de Santé et de Services Sociaux; Centre for Interdisciplinary Research in Rehabilitation; Simon Fraser University","funders":"","keywords":"Walkability; Preprint; Protocol (science); Audit; Psychology; Computer science; Medicine; Business; Built environment; Engineering; World Wide Web; Accounting","score_opus":0.4349362070055847,"score_gpt":0.587427925037679,"score_spread":0.15249171803209433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405073295","genre_codex":"protocol","genre_gemma":"protocol","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"protocol","genre_consensus":"protocol","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08740306,0.0000010805497,0.0019631868,0.0005261816,0.000020822834,0.90957206,0.00018824956,0.00008155252,0.0002438091],"genre_scores_gemma":[0.17104223,2.3771484e-8,0.0036186,0.0000053489625,0.00009518642,0.8248217,0.000004989742,0.000027556704,0.0003843496],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.992027,0.003759189,0.0008818905,0.0009525182,0.0015157125,0.00086370046],"domain_scores_gemma":[0.9931452,0.0048870393,0.00016246065,0.0008948895,0.0007764978,0.00013390006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.022699477,0.00025135063,0.00045997492,0.00020108659,0.0007352744,0.0003540338,0.0010592333,0.00018886279,0.00023657212],"category_scores_gemma":[0.0033872186,0.00016107371,0.00024886293,0.001793295,0.0015757476,0.00082862924,0.00016760686,0.0005120461,0.0000014192873],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002008207,0.00455096,0.84817624,0.0053892345,0.00007228272,0.000001115614,0.08702811,0.000028902683,0.00008207608,0.003557943,0.0009958182,0.048109107],"study_design_scores_gemma":[0.010918259,0.007111981,0.35998347,0.0030852715,0.00003477859,1.5744149e-7,0.22353974,0.0007256976,0.0012141647,0.05651421,0.33614436,0.0007279069],"about_ca_topic_score_codex":0.0012770726,"about_ca_topic_score_gemma":0.011132751,"teacher_disagreement_score":0.48819277,"about_ca_system_score_codex":0.0005633703,"about_ca_system_score_gemma":0.0023069747,"threshold_uncertainty_score":0.78672314},"labels":[],"label_agreement":null},{"id":"W4405099016","doi":"10.22215/etd/2024-16249","title":"A Geospatial Analysis of E-Scooter Trip Production in Calgary, Alberta","year":2024,"lang":"en","type":"dissertation","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geospatial analysis; Transport engineering; Geography; Land use; TRIPS architecture; Production (economics); Spatial analysis; Environmental science; Cartography; Engineering; Civil engineering; Remote sensing","score_opus":0.013579996706890269,"score_gpt":0.31719277283502006,"score_spread":0.3036127761281298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405099016","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9179594,0.00018177369,0.0000068551253,0.00018400318,0.0009944722,0.00030569668,0.000005734989,0.000025848598,0.080336206],"genre_scores_gemma":[0.86376566,0.000032462824,0.000028247701,0.000007906978,0.00013556812,0.000021877797,0.00080320064,0.000009209627,0.13519585],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998486,0.000064832784,0.00045284067,0.00043430837,0.00037961247,0.00018241085],"domain_scores_gemma":[0.999494,0.000039705912,0.00013252298,0.00019289726,0.0000984212,0.00004242457],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00043333636,0.00013489994,0.00041720207,0.0005793944,0.000058775542,0.000037704034,0.0001932327,0.00028129914,0.0018417664],"category_scores_gemma":[0.0001057746,0.000117632524,0.00027639655,0.002129353,0.00005743703,0.00014874809,0.000004931381,0.00020629517,0.000013061393],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048738735,0.00067234953,0.75863826,0.00091328094,0.0022333092,0.000014452781,0.19794025,0.000072545714,0.00031916864,0.0028803167,0.0021187756,0.03370988],"study_design_scores_gemma":[0.00015365558,0.000024782796,0.98276913,0.00014943033,0.0032670929,1.3451016e-8,0.007142778,0.00032905565,0.0008994478,0.0013612895,0.003497657,0.00040566904],"about_ca_topic_score_codex":0.3054511,"about_ca_topic_score_gemma":0.96534324,"teacher_disagreement_score":0.65989214,"about_ca_system_score_codex":0.000077493445,"about_ca_system_score_gemma":0.00027633546,"threshold_uncertainty_score":0.9990707},"labels":[],"label_agreement":null},{"id":"W4405099130","doi":"10.22215/etd/2024-16349","title":"An Investigation into Mobility Tool Ownership and Mode Choice Behavior of High-Rise Condo Residents - a Case Study of the Greater Toronto and Hamilton Area","year":2024,"lang":"en","type":"dissertation","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mode (computer interface); Geography; Gerontology; Engineering; Psychology; Sociology; Computer science; Medicine; Human–computer interaction","score_opus":0.03463807775914192,"score_gpt":0.3451608880532251,"score_spread":0.3105228102940832,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405099130","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978805,0.00023220263,3.3099374e-7,0.000012600501,0.00020007147,0.001452812,0.000035360183,0.00003042804,0.00015568532],"genre_scores_gemma":[0.9981342,0.000013031931,0.000022368336,0.0000075592498,0.0000347851,0.00009934213,0.000058382087,0.000013784727,0.001616531],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981484,0.0002697389,0.000496919,0.0005067794,0.00043894415,0.000139216],"domain_scores_gemma":[0.9990091,0.000071857816,0.00023277265,0.0003921942,0.00019433378,0.0000997548],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005660168,0.00019889102,0.00033892787,0.00004327745,0.00023803531,0.000091145645,0.00021151981,0.00023508993,0.00007158246],"category_scores_gemma":[0.000049300354,0.00013306885,0.000053106232,0.00014328984,0.00030889583,0.0005600918,0.000019139095,0.00015720667,1.4319878e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052473722,0.00022866449,0.7972154,0.00027715534,0.000026075,0.000014485952,0.20120664,6.36091e-7,0.00047861654,0.000039347997,0.00000894199,0.00045157538],"study_design_scores_gemma":[0.00032224637,0.00012567465,0.8874208,0.00008062607,0.00041409212,6.378718e-7,0.10987305,0.000018892008,0.0009409276,0.0006539527,0.0000015019501,0.00014762268],"about_ca_topic_score_codex":0.80873346,"about_ca_topic_score_gemma":0.95309234,"teacher_disagreement_score":0.14435889,"about_ca_system_score_codex":0.00010220929,"about_ca_system_score_gemma":0.00015936475,"threshold_uncertainty_score":0.542639},"labels":[],"label_agreement":null},{"id":"W4405179541","doi":"10.1080/14927713.2024.2433948","title":"Making space and taking space: exploring the crowding experiences of people using wheeled mobility devices in parks","year":2024,"lang":"en","type":"article","venue":"Leisure/Loisir","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Vancouver Island University; Toronto Rehabilitation Institute; University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; Vancouver Island University","keywords":"Crowding; Space (punctuation); Crowds; Phenomenology (philosophy); Public park; Public space; Zoom; Psychology; Phenomenon; Sociology; Crowding out; Social psychology; Public relations; Computer science; Geography; Architectural engineering; Engineering; Computer security; Political science; Cognitive psychology; Environmental planning","score_opus":0.0914406830222395,"score_gpt":0.35624236236816786,"score_spread":0.26480167934592835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405179541","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99442035,0.0027784235,0.0002229747,0.00032908865,0.0005686032,0.00035587398,0.000002123718,0.00009130809,0.0012312301],"genre_scores_gemma":[0.99930316,0.000064139094,0.00036559996,0.00001217741,0.00015808751,0.00005168451,7.006014e-7,0.000015278612,0.000029196217],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99803436,0.00020833212,0.0003946431,0.00048165958,0.000440923,0.00044008205],"domain_scores_gemma":[0.99906135,0.00043088483,0.0001563594,0.00023315233,0.000055184075,0.00006309607],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019176261,0.00017789064,0.0003238341,0.00011465226,0.0005027291,0.0003290937,0.00033349104,0.00009169062,0.000092063725],"category_scores_gemma":[0.0001703723,0.00013659327,0.00009029157,0.0009507651,0.0003935208,0.0010719048,0.00007561323,0.00028001968,9.8969e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013331382,0.000028037435,0.74950737,0.0001927066,0.000012715422,0.000008538471,0.24505346,0.00008158592,0.00069677253,0.002709002,0.000002892711,0.0016936187],"study_design_scores_gemma":[0.00019344229,0.000025544989,0.6759566,0.0010184466,0.000054358356,0.0000016233172,0.31333533,0.0031095876,0.002838365,0.0016100504,0.0014518461,0.0004047729],"about_ca_topic_score_codex":0.0057412037,"about_ca_topic_score_gemma":0.018649617,"teacher_disagreement_score":0.073550716,"about_ca_system_score_codex":0.000108321205,"about_ca_system_score_gemma":0.00016606881,"threshold_uncertainty_score":0.99925745},"labels":[],"label_agreement":null},{"id":"W4405184383","doi":"10.1016/j.sftr.2024.100406","title":"Micromobility as a catalyst for sustainable urban transportation: A backcasting approach on decarbonisation and energy consumption","year":2024,"lang":"en","type":"article","venue":"Sustainable Futures","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Encana (Canada)","funders":"OeAD-GmbH; Kementerian Pendidikan dan Kebudayaan; Österreichische Forschungsförderungsgesellschaft; European Commission; Bundesministerium für Klimaschutz, Umwelt, Energie, Mobilität, Innovation und Technologie","keywords":"Backcasting; Energy consumption; Consumption (sociology); Business; Environmental economics; Environmental science; Economics; Sustainability; Engineering; Ecology; Biology","score_opus":0.014490151753534658,"score_gpt":0.28737583557925805,"score_spread":0.2728856838257234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405184383","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9739482,0.003959769,0.0019014706,0.0006195825,0.00019662535,0.00096288096,0.000027154141,0.0003240653,0.01806028],"genre_scores_gemma":[0.9816255,0.000056552162,0.00024135433,0.000093525035,0.00049138523,0.00026064788,0.00020835755,0.000023954888,0.016998716],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980453,0.00010117866,0.00029148045,0.00061746966,0.00028756858,0.0006569484],"domain_scores_gemma":[0.9990733,0.00021639734,0.00006855978,0.00019182752,0.0003028652,0.00014700413],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010441901,0.00020067592,0.00021413597,0.00016611443,0.0012336319,0.00048688916,0.00015454063,0.0001862103,0.00007397749],"category_scores_gemma":[0.00014008603,0.00019124702,0.00011660631,0.00041534554,0.00029447654,0.0006903331,0.000009989787,0.00014638531,0.0000016451113],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003673406,0.00022635004,0.020719524,0.003913025,0.00008753407,0.00013890197,0.05081592,0.00007036673,0.00009519157,0.91394985,0.0039225095,0.0056934785],"study_design_scores_gemma":[0.0013381726,0.00039274627,0.04180682,0.00015601798,0.00036307404,0.0000035103321,0.32929227,0.0008406576,0.0011897694,0.08532601,0.5382088,0.0010821564],"about_ca_topic_score_codex":0.010374144,"about_ca_topic_score_gemma":0.001611254,"teacher_disagreement_score":0.82862383,"about_ca_system_score_codex":0.00033595372,"about_ca_system_score_gemma":0.0005466904,"threshold_uncertainty_score":0.9962159},"labels":[],"label_agreement":null},{"id":"W4405236454","doi":"10.1016/j.heliyon.2024.e41101","title":"Enhancing sidewalk accessibility assessment for wheelchair users: An adaptive weighting fuzzy-based approach","year":2024,"lang":"en","type":"article","venue":"Heliyon","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Centre for Interdisciplinary Research in Rehabilitation; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Iran National Science Foundation; Université Laval; National Science Foundation","keywords":"Wheelchair; Weighting; Computer science; Transport engineering; Fuzzy logic; Perception; Plan (archaeology); Human–computer interaction; Engineering; Artificial intelligence; World Wide Web; Psychology; Geography","score_opus":0.0479956541192963,"score_gpt":0.3558404539080949,"score_spread":0.3078447997887986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405236454","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7924993,0.0016108118,0.18070991,0.0005379222,0.0009407903,0.0014266999,0.000074529984,0.0007809597,0.021419069],"genre_scores_gemma":[0.9723827,0.000020311723,0.026078833,0.0001471443,0.0007249998,0.00018959005,0.000064622946,0.000032258158,0.0003595],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99728477,0.00024265981,0.0004581223,0.0008801519,0.0005428704,0.0005914553],"domain_scores_gemma":[0.9987675,0.0003499121,0.00010360945,0.0003750504,0.00017713428,0.00022677923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023989584,0.00022916103,0.00029364973,0.00011505041,0.00074618537,0.00047713428,0.0004284804,0.00019713811,0.00015401491],"category_scores_gemma":[0.00008782231,0.00020525757,0.00021728805,0.0004926127,0.0002014922,0.0012318239,0.000028075048,0.00029230717,0.000009557583],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012767258,0.0047469675,0.609488,0.016812626,0.00052926596,0.000104012965,0.086467795,0.0009619761,0.031063555,0.12018193,0.000738816,0.12762828],"study_design_scores_gemma":[0.0065912628,0.0030711773,0.50345737,0.0075292904,0.0013987713,0.0000022346717,0.113731384,0.11201001,0.07536116,0.09370723,0.07545693,0.007683187],"about_ca_topic_score_codex":0.0006380165,"about_ca_topic_score_gemma":0.005542828,"teacher_disagreement_score":0.17988344,"about_ca_system_score_codex":0.0003671812,"about_ca_system_score_gemma":0.00090598984,"threshold_uncertainty_score":0.8370161},"labels":[],"label_agreement":null},{"id":"W4405261304","doi":"10.2196/64564","title":"Identifying Community-Built Environment’s Effect on Physical Activity and Depressive Symptoms Trajectories Among Middle-aged and Older Adults: Chinese National Longitudinal Study","year":2024,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Preprint; Gerontology; Longitudinal study; Physical activity; Depressive symptoms; Psychology; Environmental health; Demography; Medicine; Computer science; Sociology; Psychiatry; Physical therapy; World Wide Web","score_opus":0.04177808626121797,"score_gpt":0.35447541452119513,"score_spread":0.31269732825997715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405261304","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99723566,0.0008795602,0.000026825928,0.00047657685,0.00014006927,0.00094500225,0.000044065757,0.00009864075,0.00015357486],"genre_scores_gemma":[0.99945706,0.00007890167,0.0000025244983,0.000049571045,0.0001885474,0.00013159736,0.000022036598,0.000012385384,0.000057375244],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99688375,0.00157735,0.0001836697,0.00045714888,0.0005048429,0.00039322203],"domain_scores_gemma":[0.99811864,0.0012274963,0.00008292211,0.00016114941,0.000031560343,0.00037825367],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0023635214,0.00020543231,0.00034615316,0.00008881068,0.0015040437,0.00042659207,0.00013634973,0.000073669595,0.000011713533],"category_scores_gemma":[0.00021159145,0.00016344553,0.00004364153,0.00025553833,0.00046437365,0.0006395467,0.00005984752,0.0006015685,0.0000010329761],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052933872,0.00034009223,0.95534474,0.00034263407,0.000033463464,0.0000045231745,0.03305171,1.5753388e-7,0.0000029278388,0.000041662846,0.000016465934,0.010768663],"study_design_scores_gemma":[0.0006218889,0.00026636056,0.9971946,0.000055028984,0.0000018383417,6.450292e-7,0.0014468227,0.00008094776,6.3691294e-7,0.0000961695,0.00008243175,0.00015262992],"about_ca_topic_score_codex":0.004008621,"about_ca_topic_score_gemma":0.012233911,"teacher_disagreement_score":0.041849837,"about_ca_system_score_codex":0.00010172068,"about_ca_system_score_gemma":0.00016884149,"threshold_uncertainty_score":0.99979585},"labels":[],"label_agreement":null},{"id":"W4405315223","doi":"10.1016/j.cstp.2024.101349","title":"Are all streets created equal? Measuring the differences in the built environment among streets with various socioeconomic characteristics in Montréal, Canada","year":2024,"lang":"en","type":"article","venue":"Case Studies on Transport Policy","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds de Recherche du Québec-Société et Culture","keywords":"Socioeconomic status; Geography; Transport engineering; Built environment; Civil engineering; Engineering; Demography; Sociology; Population","score_opus":0.04364291133757513,"score_gpt":0.28131029937844737,"score_spread":0.23766738804087223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405315223","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99293274,0.0017860312,0.000002568549,0.0038875544,0.00012982753,0.0005545606,0.00016356657,0.0000384497,0.0005047191],"genre_scores_gemma":[0.9984477,0.0007395905,0.0000019000491,0.0003600452,0.0001911847,0.00011282826,0.000013510193,0.000018736535,0.00011446862],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99789834,0.0001770069,0.0005124518,0.000454572,0.00041453703,0.0005431209],"domain_scores_gemma":[0.99907506,0.00034070527,0.0001572612,0.00031089413,0.000022336173,0.00009376415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006812965,0.00029431647,0.00042926206,0.00009862508,0.0004916787,0.000071902316,0.00037552623,0.0000812499,0.00002894282],"category_scores_gemma":[0.00003331572,0.00016959282,0.00007686566,0.0002442545,0.000637197,0.00014082434,0.000013198231,0.00043167348,0.000003243479],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039815426,0.00010305756,0.94233656,0.000076012984,0.00016603553,0.00678006,0.048983425,0.00008830206,0.0000013214438,0.00047756734,0.000075659096,0.0008721895],"study_design_scores_gemma":[0.00023939445,0.000038263246,0.9668137,0.00013732213,0.00008030667,0.0000054853854,0.031312495,0.000030031608,0.0000059230547,0.00015429464,0.0009483778,0.0002343973],"about_ca_topic_score_codex":0.862425,"about_ca_topic_score_gemma":0.9964367,"teacher_disagreement_score":0.13401172,"about_ca_system_score_codex":0.00069544703,"about_ca_system_score_gemma":0.00050680025,"threshold_uncertainty_score":0.69157946},"labels":[],"label_agreement":null},{"id":"W4405370268","doi":"10.1016/j.jtrangeo.2024.104050","title":"Exploring mobility of care with measures of accessibility","year":2024,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"","keywords":"Transport engineering; Poison control; Business; Engineering; Environmental health; Medicine","score_opus":0.07127422918541601,"score_gpt":0.30338238844500814,"score_spread":0.23210815925959213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405370268","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99307716,0.004043764,0.00058375346,0.00008089078,0.00039947778,0.00019656679,0.000048934617,0.00003239896,0.0015370717],"genre_scores_gemma":[0.9987873,0.00049431133,0.000558211,0.0000047004733,0.0001293173,0.000004866473,0.0000036840438,0.0000122203155,0.0000053884683],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973623,0.00009240641,0.0009858399,0.00024668247,0.0010607447,0.00025198734],"domain_scores_gemma":[0.9982892,0.00009856437,0.00037584474,0.0002621568,0.00081059284,0.00016362047],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016493776,0.00016109084,0.0005542248,0.00036834358,0.00010894881,0.000024860128,0.00048465581,0.00008471889,0.000092036156],"category_scores_gemma":[0.000018489913,0.000116085095,0.00069155946,0.0011535776,0.00072424795,0.0012131295,0.000005170298,0.00032165003,1.98973e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032207067,0.00019985657,0.9786015,0.000924337,0.0001737775,0.000031547646,0.013463083,0.00003924046,0.00025642643,0.00012307198,0.0000028495688,0.005862214],"study_design_scores_gemma":[0.00028240256,0.00026493304,0.9873426,0.0006037555,0.00028600218,9.192662e-7,0.0051388317,6.784772e-7,0.0039281454,0.00054747163,0.0014723527,0.00013190365],"about_ca_topic_score_codex":0.0012413203,"about_ca_topic_score_gemma":0.0020099566,"teacher_disagreement_score":0.008741079,"about_ca_system_score_codex":0.000038149647,"about_ca_system_score_gemma":0.00048763337,"threshold_uncertainty_score":0.47338128},"labels":[],"label_agreement":null},{"id":"W4405396646","doi":"10.62051/n35r8c16","title":"Unveiling the Urban Mosaic of Metro Vancouver: Shaping a New Urban Identity","year":2024,"lang":"en","type":"article","venue":"Transactions on Environment Energy and Earth Sciences","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Mosaic; Identity (music); Multiculturalism; Sociology; Space (punctuation); Immigration; Place identity; Urban planning; Personality psychology; Urban space; Geography; Economic geography; Regional science; Civil engineering; Computer science; Aesthetics; Engineering; Social psychology; Psychology; Personality","score_opus":0.0260023438864863,"score_gpt":0.26009255475655824,"score_spread":0.23409021087007192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405396646","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72682506,0.008443714,0.2490519,0.0020343,0.0016038466,0.00028575928,0.000034014407,0.00019057082,0.011530846],"genre_scores_gemma":[0.9942051,0.0007204353,0.00029613508,0.00008164908,0.00009508656,0.0000054140587,8.723957e-7,0.0000047190065,0.00459057],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986444,0.00007598758,0.00020339999,0.00033521448,0.0004978226,0.00024318416],"domain_scores_gemma":[0.9995807,0.00013370716,0.00004236505,0.00013419572,0.0000049486157,0.00010412066],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006768334,0.00010854799,0.00012146644,0.00009532414,0.0010242502,0.00013241476,0.00026418714,0.00005520822,0.00094073784],"category_scores_gemma":[0.0000045668135,0.00007711466,0.00009680589,0.00047247886,0.0010195347,0.0007375091,0.0000042395236,0.0001112793,0.0000074174745],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020342138,0.0013028614,0.20542932,0.00029783152,0.000648129,0.000035982965,0.06942001,0.06719985,0.0030231308,0.18115108,0.007103663,0.46418473],"study_design_scores_gemma":[0.0009020895,0.0007644913,0.0655017,0.00042999294,0.0005204892,0.0000012025286,0.021760004,0.018095724,0.014034488,0.028908126,0.8477192,0.0013625077],"about_ca_topic_score_codex":0.003743323,"about_ca_topic_score_gemma":0.018568788,"teacher_disagreement_score":0.8406155,"about_ca_system_score_codex":0.000019290232,"about_ca_system_score_gemma":0.00011335377,"threshold_uncertainty_score":0.9999725},"labels":[],"label_agreement":null},{"id":"W4405409509","doi":"10.2139/ssrn.5056565","title":"Four-Year Trends of Personal Mobility Devices in Metropolitan Vancouver: The Evolution of Mode Shares, Speeds, and Comfort in Off-Street Paths","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Personal mobility; Mode (computer interface); Transport engineering; Telecommunications; Geography; Computer science; Engineering; Human–computer interaction; Archaeology","score_opus":0.01569610160220336,"score_gpt":0.2935694431319654,"score_spread":0.27787334152976206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405409509","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97608644,0.020718962,0.00003855512,0.00026311894,0.00028490977,0.00022452927,0.00017195356,0.000012577923,0.0021989758],"genre_scores_gemma":[0.99707085,0.0023771084,0.000030440739,0.0000050391013,0.00018078722,0.000008202325,0.000010137343,0.0000145203385,0.00030291136],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9965961,0.0003401807,0.00078517466,0.0004092482,0.000681611,0.0011877132],"domain_scores_gemma":[0.9990411,0.00011722912,0.00042251832,0.0002308845,0.000110965375,0.000077352015],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.004572595,0.00023069176,0.0005272334,0.00040524843,0.00013222109,0.00004651635,0.0006001801,0.00027338695,0.00007030889],"category_scores_gemma":[0.000082172555,0.00017691625,0.00025500444,0.00061362,0.0004926469,0.0001756813,0.00016339231,0.0031618187,2.9901918e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012919157,0.00019961399,0.95934993,0.00018390022,0.0001257535,0.0000042648066,0.003942606,0.00005923389,0.000011083137,0.02883503,0.00005534249,0.007104025],"study_design_scores_gemma":[0.0006418417,0.00017808063,0.3647594,0.0005315616,0.00017497031,0.0000028038235,0.07478906,0.0010963341,0.000013147063,0.5572577,0.0002148795,0.00034020195],"about_ca_topic_score_codex":0.09760488,"about_ca_topic_score_gemma":0.8884394,"teacher_disagreement_score":0.79083455,"about_ca_system_score_codex":0.0044495906,"about_ca_system_score_gemma":0.005278002,"threshold_uncertainty_score":0.9993721},"labels":[],"label_agreement":null},{"id":"W4405468305","doi":"10.24294/jipd9391","title":"Temporal and mode-based accessibility to urban tourism spots: A spatial travel time analysis—Budapest","year":2024,"lang":"en","type":"article","venue":"Journal of Infrastructure Policy and Development","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Savaria (Canada)","funders":"","keywords":"Visitor pattern; Tourism; Public transport; Transport engineering; Mode (computer interface); Computer science; Travel time; Geography; Engineering","score_opus":0.010283721302895227,"score_gpt":0.30522647071823683,"score_spread":0.2949427494153416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405468305","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98870873,0.00028064856,0.0077172862,0.0018895031,0.00016723963,0.00016669299,0.000023929635,0.000025725658,0.0010202447],"genre_scores_gemma":[0.99242294,0.000011940208,0.0062107025,0.00042671425,0.00067585247,0.0000025063061,0.0000070427254,0.000009223136,0.00023310474],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981636,0.00008548436,0.00065371784,0.00028906553,0.00049999804,0.0003081508],"domain_scores_gemma":[0.99903625,0.00009701377,0.00017581484,0.000112034875,0.00014325666,0.00043563306],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000851863,0.00019768662,0.00042670182,0.00059972913,0.00028995815,0.00032167742,0.0002322779,0.00014373679,0.00022292657],"category_scores_gemma":[0.000114662835,0.00014886625,0.000116585914,0.0008285995,0.00017675821,0.00035227172,0.00003736612,0.0002758967,0.0000034751365],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004188922,0.00013176096,0.8274627,0.00021221621,0.0008887779,0.0001669744,0.049192477,0.0003550388,0.00050204515,0.00076046475,0.0030087128,0.11689999],"study_design_scores_gemma":[0.00031320527,0.000042653617,0.9764227,0.000067243476,0.00014097846,0.0000036415224,0.00024345775,0.00031909553,0.00034667982,0.0017042792,0.020173922,0.00022214236],"about_ca_topic_score_codex":0.0011372352,"about_ca_topic_score_gemma":0.000969973,"teacher_disagreement_score":0.14896005,"about_ca_system_score_codex":0.00021422707,"about_ca_system_score_gemma":0.0017912138,"threshold_uncertainty_score":0.60705894},"labels":[],"label_agreement":null},{"id":"W4405496117","doi":"10.32866/001c.127106","title":"The Negative Impact of Parking Lots on Walkability","year":2024,"lang":"en","type":"article","venue":"Findings","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"Mitacs","keywords":"Walkability; Transport engineering; Business; Environmental health; Built environment; Engineering; Civil engineering; Medicine","score_opus":0.02621059617956073,"score_gpt":0.3595055077741476,"score_spread":0.33329491159458685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405496117","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97813195,0.00011523311,0.000009359542,0.0004969949,0.00025743217,0.00013017708,0.00001402014,0.000053723506,0.0207911],"genre_scores_gemma":[0.9990843,0.00001325487,0.000009228927,0.000010630287,0.00009955779,0.000004263831,0.0000011840189,0.0000045015895,0.0007730631],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999209,0.00005877309,0.00014120825,0.00016297144,0.00023024282,0.00019783193],"domain_scores_gemma":[0.9991958,0.00057027396,0.000028977956,0.00012419213,0.00003519666,0.000045569657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088580605,0.000063134554,0.00008678731,0.000025025898,0.00036160497,0.00010023673,0.00019910972,0.00004655869,0.00022762037],"category_scores_gemma":[0.00022952825,0.00003699298,0.00014701673,0.00030863818,0.00032269652,0.00014992716,0.00001089931,0.0001324998,0.000023754577],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000632384,0.00005619826,0.9314726,0.0000347958,0.0000612458,0.000004623739,0.0355906,0.0000045253923,0.00027104636,0.014194982,0.0025435842,0.01570253],"study_design_scores_gemma":[0.00005299701,0.000059637612,0.9727179,0.000064027554,0.000011196761,3.6669032e-8,0.00065427885,0.000028574601,0.00078401866,0.018248195,0.007303506,0.00007566493],"about_ca_topic_score_codex":0.0034730248,"about_ca_topic_score_gemma":0.0012428339,"teacher_disagreement_score":0.041245237,"about_ca_system_score_codex":0.00013945586,"about_ca_system_score_gemma":0.00015892289,"threshold_uncertainty_score":0.52501976},"labels":[],"label_agreement":null},{"id":"W4405567893","doi":"10.1155/atr/2175645","title":"Indicators for Active Transportation in Tier II Indian Cities: A Case of Bhopal, India","year":2024,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Walkability; Sustainable transport; Delphi method; Business; Built environment; Sustainability; Transport engineering; Analytic hierarchy process; Performance indicator; Socioeconomic status; Sustainable development; Environmental planning; Environmental economics; Computer science; Geography; Marketing; Engineering; Civil engineering; Environmental health; Political science; Economics; Operations research","score_opus":0.011395308146881252,"score_gpt":0.31684452660042295,"score_spread":0.30544921845354167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405567893","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99701816,0.00042049045,0.0010465871,0.00018304455,0.0005278069,0.0004340483,0.000255312,0.000020247213,0.00009431919],"genre_scores_gemma":[0.9979687,0.00015031554,0.0015598866,0.000020968686,0.00013881491,0.000021035552,0.00007508147,0.000017852128,0.00004738172],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9982997,0.00004136819,0.0009021655,0.00018869387,0.00034040818,0.0002276191],"domain_scores_gemma":[0.99900943,0.00016151056,0.0004554066,0.000072048904,0.00018889205,0.000112683825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057997915,0.0001337952,0.00031991082,0.000652027,0.0001553585,0.00002120239,0.00013667562,0.00014439625,0.00007494141],"category_scores_gemma":[0.000035759793,0.00012839939,0.00022732327,0.0009227116,0.00016253538,0.001329181,4.18505e-7,0.0002692634,2.8687214e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00145574,0.00049311516,0.15316074,0.0010316878,0.0002141316,0.002015289,0.7399031,0.0025425558,0.0017598162,0.0075231814,0.000067623216,0.08983304],"study_design_scores_gemma":[0.002489306,0.00063761603,0.8997663,0.00078752957,0.00028374718,0.00001050882,0.072061434,0.000010375051,0.0046333517,0.013383689,0.00555536,0.00038075697],"about_ca_topic_score_codex":0.00036970832,"about_ca_topic_score_gemma":0.013816316,"teacher_disagreement_score":0.7466056,"about_ca_system_score_codex":0.00012662681,"about_ca_system_score_gemma":0.0004950079,"threshold_uncertainty_score":0.77098286},"labels":[],"label_agreement":null},{"id":"W4405695388","doi":"10.1016/j.tbs.2024.100969","title":"What type of person is at different stages of change for cycling? A case study of Montreal","year":2024,"lang":"en","type":"article","venue":"Travel Behaviour and Society","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University; Polytechnique Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Fonds de Recherche du Québec-Société et Culture","keywords":"Cycling; Psychology; History","score_opus":0.138808644044637,"score_gpt":0.37789115061702494,"score_spread":0.23908250657238794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405695388","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99779916,0.0012444076,0.0000074529776,0.000061964965,0.00018447031,0.00053102575,0.00012831597,0.000012701123,0.00003049567],"genre_scores_gemma":[0.9989963,0.00037671762,0.000022760247,0.000008997512,0.00004648983,0.000016759237,0.0000053775057,0.000007750122,0.00051883224],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99923146,0.00002763031,0.00020464581,0.00019799972,0.00019985509,0.00013841724],"domain_scores_gemma":[0.99962497,0.00006999209,0.000069498434,0.00009852724,0.00008259977,0.000054408036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023544436,0.00009093364,0.00025474498,0.000017452136,0.00013048096,0.00002441819,0.000071619994,0.00008676877,0.000056936664],"category_scores_gemma":[0.0000032625705,0.00007302945,0.00017760799,0.00010512364,0.00017755,0.00016085114,0.0000126685745,0.00006195694,6.608148e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015815074,0.0003110783,0.59210026,0.00015817062,0.00003968521,0.000007638457,0.40574056,2.8455453e-8,0.00022676756,0.00001457239,0.00006600172,0.0013194511],"study_design_scores_gemma":[0.00039504364,0.00027006585,0.6932429,0.00005186974,0.00023071303,6.7212153e-7,0.30486256,0.000034182718,0.000806474,0.000026194906,0.000004615566,0.000074722506],"about_ca_topic_score_codex":0.0218077,"about_ca_topic_score_gemma":0.011820833,"teacher_disagreement_score":0.10114265,"about_ca_system_score_codex":0.000027251157,"about_ca_system_score_gemma":0.000025458861,"threshold_uncertainty_score":0.98470616},"labels":[],"label_agreement":null},{"id":"W4405711423","doi":"10.4018/979-8-3693-7388-0.ch016","title":"Urban Waterfronts and Tourism","year":2024,"lang":"en","type":"book-chapter","venue":"Advances in hospitality, tourism and the services industry (AHTSI) book series","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Vitality; Tourism; Environmental planning; Sustainability; Urban design; Environmental resource management; Business; Geography; Destinations; Urban planning; Civil engineering; Engineering; Ecology; Environmental science","score_opus":0.0072119448447352,"score_gpt":0.2575263497024935,"score_spread":0.2503144048577583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405711423","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03855229,0.16328071,9.43791e-7,0.0050660996,0.001655655,0.0010523935,0.00018480186,0.0002106227,0.7899965],"genre_scores_gemma":[0.272071,0.08072062,0.000040214698,0.000780622,0.0022843056,0.000079579164,0.00007399028,0.000109728644,0.64383996],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.996527,0.00011881762,0.00085600157,0.0010904523,0.0006879935,0.00071971695],"domain_scores_gemma":[0.9983721,0.00018291523,0.0003798597,0.00067665084,0.00011741851,0.00027106938],"candidate_categories":["metaepi_narrow","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0009984628,0.00076214026,0.0009670831,0.00014681679,0.00080107845,0.00057193026,0.0008845162,0.0014882686,0.00035505657],"category_scores_gemma":[0.000016691936,0.00055937655,0.00019321486,0.00011817203,0.003346928,0.005018479,0.0004627162,0.001998253,0.000021723508],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035791053,0.00006880729,0.031971376,0.0019281047,0.00027560187,0.0005088173,0.031161435,0.0000034484458,8.0394074e-7,0.9277069,0.0011997824,0.0048170197],"study_design_scores_gemma":[0.00055306434,0.000060984585,0.0021920041,0.0007962461,0.00018555888,0.000004493557,0.0040011047,0.000002892699,0.000008722053,0.33895263,0.65259653,0.0006457922],"about_ca_topic_score_codex":0.0034382239,"about_ca_topic_score_gemma":0.010965713,"teacher_disagreement_score":0.65139675,"about_ca_system_score_codex":0.000098473705,"about_ca_system_score_gemma":0.00013790425,"threshold_uncertainty_score":0.999808},"labels":[],"label_agreement":null},{"id":"W4405737177","doi":"10.3390/smartcities8010004","title":"Probabilistic Causal Modeling of Barriers to Accessibility for Persons with Disabilities in Canada","year":2024,"lang":"en","type":"article","venue":"Smart Cities","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Probabilistic logic; Psychology; Computer science; Artificial intelligence","score_opus":0.032447236089306254,"score_gpt":0.29130825411489486,"score_spread":0.2588610180255886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405737177","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99489045,0.0001517941,0.0004290533,0.0008008227,0.0002957492,0.0006348955,0.0002378065,0.000044359393,0.002515048],"genre_scores_gemma":[0.99905163,0.0000017025444,0.00017235454,0.000049219965,0.00007294665,0.00013888702,0.0000085221745,0.000011750636,0.00049299013],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99865854,0.00005535284,0.00028549993,0.00033227136,0.00031612124,0.00035219154],"domain_scores_gemma":[0.99920475,0.00032932105,0.000021754337,0.00017106818,0.00009133815,0.00018175201],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053210993,0.000119522425,0.00023076443,0.000062778934,0.0001961849,0.00007170936,0.000215892,0.000040411163,0.00017096198],"category_scores_gemma":[0.00044233692,0.00009889076,0.00005289042,0.00031573416,0.00032761236,0.00029247502,0.000016628788,0.00009551748,3.5823268e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010062136,0.000016228661,0.93872887,0.00069583603,0.000021702861,0.0000027671692,0.05193931,0.002457588,0.0000052901914,0.005497552,0.00029575,0.00023845983],"study_design_scores_gemma":[0.0006703868,0.00024856805,0.09221083,0.0009471507,0.00014186087,4.2731693e-7,0.8190075,0.037879843,0.0001901845,0.043604534,0.0040183947,0.0010802812],"about_ca_topic_score_codex":0.9268166,"about_ca_topic_score_gemma":0.9972608,"teacher_disagreement_score":0.84651804,"about_ca_system_score_codex":0.00062045566,"about_ca_system_score_gemma":0.0057042856,"threshold_uncertainty_score":0.99993247},"labels":[],"label_agreement":null},{"id":"W4405737206","doi":"10.1080/16874048.2024.2445333","title":"Comparative analysis of sustainable mobility planning tools: case studies from Italy, Egypt, and Lebanon","year":2024,"lang":"en","type":"article","venue":"HBRC Journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Sustainable development; Environmental planning; Civil engineering; Comparative case; Engineering; Regional science; Business; Construction engineering; Geography; Political science","score_opus":0.09527778162452727,"score_gpt":0.41084203819628934,"score_spread":0.31556425657176207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405737206","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97575885,0.02118896,0.00026099102,0.0001549019,0.000114939336,0.00009529547,0.00003635066,0.000024322715,0.0023654103],"genre_scores_gemma":[0.99906844,0.00016017482,0.00013312769,0.000009603655,0.00014241524,0.00000265654,0.000004582898,0.0000028240302,0.0004761857],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99876565,0.00016643952,0.00034446048,0.00021753086,0.00026690974,0.00023900284],"domain_scores_gemma":[0.9989427,0.00048614448,0.00010687177,0.000100001314,0.00025510683,0.00010917749],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013004406,0.00009759564,0.00041250067,0.00018434736,0.0005535355,0.000283117,0.00011049678,0.000051657447,0.00026601885],"category_scores_gemma":[0.00013256932,0.00007697904,0.00015281192,0.00077122165,0.00040380945,0.00075475615,0.00003075101,0.00023760869,9.843188e-7],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008024542,0.00016765553,0.58740294,0.00010817598,0.004207514,0.005867377,0.39586332,0.00037537256,0.00008058937,0.00287972,0.0014032364,0.0015638672],"study_design_scores_gemma":[0.00025312015,0.00007275765,0.19941595,0.00010839179,0.0022790586,0.000027484659,0.78485423,0.00079715706,0.00013894278,0.0074108243,0.004394423,0.00024767307],"about_ca_topic_score_codex":0.0023449499,"about_ca_topic_score_gemma":0.0024758405,"teacher_disagreement_score":0.38899088,"about_ca_system_score_codex":0.000121146964,"about_ca_system_score_gemma":0.0001755228,"threshold_uncertainty_score":0.42574033},"labels":[],"label_agreement":null},{"id":"W4405748826","doi":"10.1016/j.jval.2024.10.044","title":"P34 Transportability Analyses in Action: A Landscape Assessment of Application Studies Using Real Data","year":2024,"lang":"en","type":"article","venue":"Value in Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Action (physics); Computer science; Physics","score_opus":0.5106494172413965,"score_gpt":0.5836752466775649,"score_spread":0.07302582943616842,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405748826","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948117,0.002717252,0.00072482124,0.0008000099,0.0001676853,0.0003675865,0.000049067636,0.000037904923,0.00032393023],"genre_scores_gemma":[0.99754757,0.0013481574,0.0009425418,0.000011253775,0.00008577186,0.000011043492,0.0000415835,0.0000044789717,0.0000075729195],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983332,0.00027544523,0.00055118697,0.00036809742,0.00027878166,0.00019329692],"domain_scores_gemma":[0.9993054,0.00019034171,0.00009534922,0.0003257135,0.00003545997,0.00004768535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029397078,0.000069814036,0.000268163,0.0001240147,0.000091189926,0.000016527429,0.00021268957,0.0000497267,0.00002169438],"category_scores_gemma":[0.00003195424,0.000063385865,0.000033426397,0.0009063294,0.000117853786,0.0003330378,0.000014654209,0.00014708875,3.229521e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009174056,0.00012697013,0.9857989,0.00081150845,0.000015070704,0.0000024099172,0.0065753954,0.0015813576,0.00007994256,0.0012939782,0.000012437076,0.0036928873],"study_design_scores_gemma":[0.00014586803,0.000023226004,0.9420758,0.0002527237,0.000021173251,8.569432e-8,0.006891221,0.04772976,0.000013107403,0.0022649707,0.00049115415,0.00009094133],"about_ca_topic_score_codex":0.14085363,"about_ca_topic_score_gemma":0.08565912,"teacher_disagreement_score":0.055194512,"about_ca_system_score_codex":0.00030507916,"about_ca_system_score_gemma":0.0010038138,"threshold_uncertainty_score":0.9310252},"labels":[],"label_agreement":null},{"id":"W4405807224","doi":"10.1080/14927713.2024.2437414","title":"Accessibility, usability and universal design across fitness and recreational facilities: a rapid review","year":2024,"lang":"en","type":"review","venue":"Leisure/Loisir","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Recreation; Usability; USable; Universal design; Physical activity; Psychology; Applied psychology; Computer science; Medicine; Human–computer interaction; World Wide Web; Physical therapy; Ecology","score_opus":0.1252933679568041,"score_gpt":0.4017111317853827,"score_spread":0.27641776382857863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405807224","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001201197,0.99281883,0.00010168894,0.0002904969,0.0003959368,0.0028456901,0.00077974383,0.0002148319,0.0013515832],"genre_scores_gemma":[0.0007927809,0.99507266,0.00015583314,0.00004527919,0.0002972383,0.00017392288,0.00016025483,0.00004300329,0.0032590053],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.994514,0.0013425887,0.0011228024,0.0015731602,0.0007447229,0.0007027219],"domain_scores_gemma":[0.9973747,0.0010497177,0.00036584787,0.0006072221,0.00021684352,0.0003856846],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0049843993,0.0006957166,0.002336163,0.00009591026,0.00075603655,0.0005022971,0.0007002006,0.00065284397,0.00071858644],"category_scores_gemma":[0.0005275583,0.0005456326,0.0005100435,0.0008830741,0.001808163,0.00079621794,0.00025879854,0.0007848853,0.000040162588],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016124135,0.000085931926,0.0033959611,0.11825144,0.00016657224,0.00002207956,0.0027154773,3.972952e-8,5.2761454e-8,0.0005525041,0.0012657656,0.87352806],"study_design_scores_gemma":[0.00013502901,0.00003671549,0.0008360898,0.023739822,0.0009806916,0.0000045596944,0.00037815317,0.0000025568977,1.9569349e-7,0.0015048054,0.9717881,0.0005932725],"about_ca_topic_score_codex":0.0012003155,"about_ca_topic_score_gemma":0.0012597567,"teacher_disagreement_score":0.97052234,"about_ca_system_score_codex":0.0003912817,"about_ca_system_score_gemma":0.001473361,"threshold_uncertainty_score":0.99969953},"labels":[],"label_agreement":null},{"id":"W4405835651","doi":"10.1287/mnsc.2022.00775","title":"Planning Bike Lanes with Data: Ridership, Congestion, and Path Selection","year":2024,"lang":"en","type":"article","venue":"Management Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Transport engineering; Cycling; Heuristics; Traffic congestion; TRIPS architecture; Computer science; Sustainable transport; Transportation planning; Mode choice; Sustainability; Public transport; Engineering; Geography","score_opus":0.04842629219208838,"score_gpt":0.3359176088289927,"score_spread":0.2874913166369043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405835651","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93564975,0.00060751726,0.004284368,0.001993499,0.00042700832,0.00034223762,0.00000593331,0.00035026635,0.05633943],"genre_scores_gemma":[0.99710816,0.000044207878,0.0005308165,0.000045385856,0.00006845568,0.0000047859944,0.0000052076016,0.0000029623845,0.0021900425],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99887526,0.000019571713,0.000072849536,0.00043000997,0.00039147827,0.00021085433],"domain_scores_gemma":[0.9997172,0.000026424825,0.00001807015,0.00015191632,0.000023774586,0.0000626251],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012655396,0.00005732542,0.00004949085,0.00010695277,0.0006186632,0.0005232309,0.00034331184,0.0000149702955,0.00004583032],"category_scores_gemma":[0.000016806698,0.000044237528,0.0000051973207,0.00091026985,0.0006305887,0.0012067943,0.00006219005,0.000059086156,0.000008461229],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013439979,0.000029548015,0.9268006,0.00016550347,0.000020507025,0.00004368822,0.0053357873,0.0000733987,0.000043105432,0.04272876,0.0023279602,0.022417715],"study_design_scores_gemma":[0.00014920009,0.000055195564,0.8690998,0.00022645936,0.00006713846,9.302559e-7,0.006324308,0.0033761265,0.00003172757,0.0027964662,0.11761247,0.00026016412],"about_ca_topic_score_codex":0.00043262268,"about_ca_topic_score_gemma":0.00061941525,"teacher_disagreement_score":0.11528451,"about_ca_system_score_codex":0.000034290522,"about_ca_system_score_gemma":0.000059399597,"threshold_uncertainty_score":0.5045528},"labels":[],"label_agreement":null},{"id":"W4405960912","doi":"10.1093/geroni/igae098.1336","title":"FOSTERING DEMENTIA INCLUSIVE NEIGHBORHOODS: A GIS ANALYSIS OF NEIGHBORHOOD WALKABILITY FOR PERSONS WITH DEMENTIA","year":2024,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Positive Living North; University of Northern British Columbia","funders":"","keywords":"Walkability; Dementia; Environmental health; Geography; Gerontology; Psychology; Medicine; Physical medicine and rehabilitation","score_opus":0.031419319469927785,"score_gpt":0.3405607946900891,"score_spread":0.30914147522016133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405960912","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9249962,0.00036243474,0.06808182,0.0011780759,0.00016638867,0.00044250474,0.00004965757,0.00008351442,0.004639403],"genre_scores_gemma":[0.9984862,0.000003468898,0.0012270722,0.0000699441,0.000060006067,0.000056880483,0.000059940892,0.000010211627,0.000026254349],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99850416,0.000051438372,0.00055253255,0.00035100628,0.00028828677,0.00025255603],"domain_scores_gemma":[0.99926,0.00015117791,0.00015260575,0.00016512802,0.0002450293,0.00002606653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001300685,0.000109691115,0.00023405443,0.000768204,0.00021385794,0.000110495086,0.00017961829,0.000057295714,0.00017754991],"category_scores_gemma":[0.00008974286,0.00010278064,0.000086747394,0.0061974875,0.0001276988,0.0005201757,0.000061021263,0.0001071282,5.053446e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020100179,0.00006226273,0.95211816,0.00013977385,0.0008201859,0.0000019896427,0.019034123,0.00012906386,0.0006195616,0.015778104,0.000019350473,0.011257315],"study_design_scores_gemma":[0.0008614277,0.00008983047,0.9389651,0.00038876373,0.0026393973,1.4482053e-7,0.01435623,0.016869385,0.0013244288,0.02190333,0.00207115,0.00053080707],"about_ca_topic_score_codex":0.0012703947,"about_ca_topic_score_gemma":0.0057740975,"teacher_disagreement_score":0.073490016,"about_ca_system_score_codex":0.00013141215,"about_ca_system_score_gemma":0.00021829373,"threshold_uncertainty_score":0.4191273},"labels":[],"label_agreement":null},{"id":"W4405961118","doi":"10.1093/geroni/igae098.1335","title":"EXPLORING FACTORS INFLUENCING WALKING ACTIVITY IN PEOPLE WITH DEMENTIA: A SPATIAL ANALYSIS IN METRO VANCOUVER","year":2024,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Dementia; Gerontology; Physical medicine and rehabilitation; Psychology; Geography; Transport engineering; Medicine; Engineering","score_opus":0.04741039014087493,"score_gpt":0.30467457760770644,"score_spread":0.2572641874668315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405961118","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.994284,0.000029460529,0.0047419905,0.00009244121,0.00023976031,0.00013203188,0.0000012056815,0.000060615304,0.00041852245],"genre_scores_gemma":[0.99974954,0.000003976716,0.00012977663,0.000016524047,0.00004832982,0.000030734853,0.0000051493853,0.000007920579,0.000008045649],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986083,0.00007995655,0.00038941196,0.00031350693,0.00033175718,0.00027708497],"domain_scores_gemma":[0.99963367,0.000114189825,0.000083236264,0.000096974945,0.000053988486,0.000017936714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012920074,0.000102533246,0.0002021543,0.0018395197,0.000096887954,0.00012495737,0.0001110118,0.000042788874,0.000056941863],"category_scores_gemma":[0.00007313244,0.00009775357,0.000031510313,0.01286891,0.0000335094,0.0016927294,0.000019294925,0.00028359992,6.149067e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006479371,0.00002398094,0.9634401,0.00002832549,0.000037037615,0.0000108252525,0.030378973,0.0008541013,0.00016956338,0.00016787885,7.5026963e-7,0.0048819613],"study_design_scores_gemma":[0.00013507523,0.000003724728,0.98786515,0.00011550573,0.000029179764,3.9522887e-9,0.009725214,0.001195618,0.00057994714,0.00018535939,0.000044014487,0.00012121095],"about_ca_topic_score_codex":0.07618532,"about_ca_topic_score_gemma":0.84196085,"teacher_disagreement_score":0.76577556,"about_ca_system_score_codex":0.00048516697,"about_ca_system_score_gemma":0.0001471013,"threshold_uncertainty_score":0.92996645},"labels":[],"label_agreement":null},{"id":"W4405961648","doi":"10.1093/geroni/igae098.2359","title":"NEIGHBORHOOD LIFE FOR PERSONS WITH DEMENTIA: A SYSTEMATIC REVIEW AND META-SYNTHESIS OF WALKING INTERVIEWS","year":2024,"lang":"en","type":"review","venue":"Innovation in Aging","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Dementia; Meta-analysis; Gerontology; Psychology; Systematic review; Physical medicine and rehabilitation; Medicine; MEDLINE; Political science; Disease","score_opus":0.11164120160887007,"score_gpt":0.38253192295114913,"score_spread":0.27089072134227904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405961648","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000029725747,0.99586815,0.00059351866,0.00041764305,0.000057921163,0.0025237228,0.00003944273,0.000028400491,0.00046821914],"genre_scores_gemma":[0.0014988563,0.99501276,0.00033333348,0.00018554612,0.000037322603,0.0027984008,0.000016877038,0.000025049218,0.000091873415],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.997536,0.00025829417,0.001483943,0.0003240465,0.00022251125,0.0001752203],"domain_scores_gemma":[0.9983891,0.0003299344,0.00090299145,0.00019659536,0.00015566696,0.000025705562],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035433064,0.00023207025,0.0024537807,0.00038724302,0.000091509035,0.000080831975,0.00023623694,0.0000929475,0.00006194694],"category_scores_gemma":[0.0006572508,0.00014613323,0.0002427862,0.0020521272,0.000079473095,0.00019577253,0.00002526578,0.00017954696,0.0000012566245],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[3.703272e-7,0.000013221698,0.00005001884,0.9837483,0.0012517367,7.295589e-7,0.0010453727,1.034289e-8,1.4226602e-8,0.0026898358,0.00010189416,0.011098455],"study_design_scores_gemma":[0.000070532755,0.000013165364,0.000005027846,0.7654375,0.13438797,0.0000011407602,0.00084581994,0.0000032479056,3.3687726e-7,0.0004492628,0.098411314,0.00037471796],"about_ca_topic_score_codex":0.0000973425,"about_ca_topic_score_gemma":0.00026976463,"teacher_disagreement_score":0.21831088,"about_ca_system_score_codex":0.00006462149,"about_ca_system_score_gemma":0.00025839856,"threshold_uncertainty_score":0.595914},"labels":[],"label_agreement":null},{"id":"W4405975921","doi":"10.1093/geroni/igae098.1332","title":"INCLUSIVE NEIGHBORHOODS TO SUPPORT OUTDOOR MOBILITY AND PARTICIPATION OF PEOPLE LIVING WITH DEMENTIA","year":2024,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Dementia; Gerontology; Assisted living; Psychology; Medicine","score_opus":0.020904156698862045,"score_gpt":0.3446167597597089,"score_spread":0.32371260306084687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405975921","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99187875,0.000032752072,0.0049386537,0.00083772134,0.00009635824,0.00020227062,0.0000032190194,0.00003996154,0.0019703135],"genre_scores_gemma":[0.9994444,0.0000018218674,0.0003515149,0.00008388225,0.000040923736,0.000025102358,0.000005548154,0.0000047146696,0.000042057443],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99913114,0.000039184917,0.00031550255,0.00018519044,0.00019182252,0.00013718264],"domain_scores_gemma":[0.9996145,0.000091489565,0.00005757944,0.000074888034,0.00013638077,0.000025181744],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011823829,0.00005363224,0.00009224821,0.00018868521,0.00009863023,0.00006062382,0.000060747032,0.000028825752,0.000120967816],"category_scores_gemma":[0.00014150677,0.000049954455,0.000008804484,0.0017326447,0.000057580943,0.0003926415,0.000027241413,0.00006760219,0.0000015469972],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000038208213,0.000031011165,0.94737595,0.00006759493,0.000007265813,7.436186e-7,0.040433433,0.000022124224,0.00032692528,0.0061773187,0.0000148728695,0.005538914],"study_design_scores_gemma":[0.00006385007,0.000027705144,0.9949141,0.0001260861,0.000011417538,4.630992e-8,0.002772948,0.00019098846,0.00039681842,0.0011874675,0.00023951054,0.00006906951],"about_ca_topic_score_codex":0.0014752087,"about_ca_topic_score_gemma":0.006399989,"teacher_disagreement_score":0.047538117,"about_ca_system_score_codex":0.000057036283,"about_ca_system_score_gemma":0.00014120105,"threshold_uncertainty_score":0.3571344},"labels":[],"label_agreement":null},{"id":"W4405995924","doi":"10.1029/2024gh001101","title":"Access to Healthy Built and Natural Environments and Physical Activity and Screen Time in New Zealand Adolescents: A Geospatial Cross‐Sectional Study","year":2025,"lang":"en","type":"article","venue":"GeoHealth","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Lottery Health Research; Health Research Council of New Zealand; National Heart Foundation of New Zealand; University of Otago","keywords":"Built environment; Geospatial analysis; Physical activity; Environmental health; Level design; Association (psychology); Psychology; Screen time; Cross-sectional study; Geography; Medicine; Computer science; Multimedia; Engineering; Cartography","score_opus":0.02054710438602003,"score_gpt":0.36832394054410444,"score_spread":0.3477768361580844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405995924","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969043,0.00009746362,0.000023428993,0.0018786684,0.00011179406,0.0008867812,0.000021928885,0.000019969959,0.00005567464],"genre_scores_gemma":[0.9985971,0.00003066016,0.000018057748,0.00042718407,0.00015707442,0.000008802068,0.000004833376,0.0000049815953,0.00075132324],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99855614,0.0001585101,0.00017558227,0.00048015846,0.00027217795,0.00035740496],"domain_scores_gemma":[0.99948144,0.00006000159,0.00005876831,0.000117864576,0.0000122520105,0.0002696667],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004993068,0.00012758061,0.00023349083,0.00008676206,0.00041344063,0.00017667623,0.00014734668,0.00006724687,0.000012068061],"category_scores_gemma":[0.00003516554,0.00012197305,0.000017458431,0.00022073126,0.00017559364,0.00041807946,0.00012649121,0.00024423664,0.0000022420093],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034755236,0.0003363438,0.9867158,0.00002379091,0.0000067262877,0.0000014918286,0.0022655444,0.0000013507948,0.000014373071,0.000010159882,0.000076105316,0.010200785],"study_design_scores_gemma":[0.001251056,0.00011530747,0.99777323,0.00002598405,0.0000071584295,1.269594e-7,0.00008288531,0.000065373366,0.0000032927924,0.00031845935,0.00025624168,0.00010087973],"about_ca_topic_score_codex":0.09173534,"about_ca_topic_score_gemma":0.08049627,"teacher_disagreement_score":0.011239073,"about_ca_system_score_codex":0.00011674727,"about_ca_system_score_gemma":0.00028603157,"threshold_uncertainty_score":0.9362823},"labels":[],"label_agreement":null},{"id":"W4406022460","doi":"10.1186/s12889-024-21118-z","title":"Built environment change for injury prevention: insights from public health professionals across public health units in Ontario, Canada","year":2025,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Parachute; University of Waterloo; Alberta Children's Hospital; University of Calgary; York University; Public Health Ontario; University of British Columbia; University of Toronto; BC Children's Hospital","funders":"Canadian Institutes of Health Research","keywords":"Public health; Thematic analysis; Context (archaeology); Medicine; Occupational safety and health; Public relations; Poison control; Environmental health; Health policy; Biostatistics; Qualitative research; Nursing; Political science; Sociology; Geography","score_opus":0.17584132379663542,"score_gpt":0.3958072416754674,"score_spread":0.21996591787883196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406022460","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.67470413,0.0030680269,0.0017811238,0.31309715,0.0015930914,0.00459188,0.00058846467,0.00012896095,0.00044717555],"genre_scores_gemma":[0.96804076,0.00024230253,0.0006411097,0.024495061,0.0003511623,0.0009963532,0.0013896062,0.00002992813,0.0038137045],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9915801,0.0019849134,0.001656676,0.00109349,0.0011480536,0.002536729],"domain_scores_gemma":[0.99606216,0.00035100823,0.0008300159,0.0007299256,0.0002373465,0.0017895498],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.007408365,0.0003760335,0.000902496,0.00032128108,0.0024674092,0.00035589695,0.0009827014,0.00025916315,0.0005130421],"category_scores_gemma":[0.0004078886,0.00036608905,0.00012297633,0.001694925,0.0002317581,0.0014543772,0.00017726175,0.0006705713,0.0000054094094],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.000030337465,0.0013283219,0.8529243,0.00044812929,0.000046483652,0.0000014458651,0.047477238,4.6980293e-7,3.3449734e-7,0.00914807,0.026592275,0.062002584],"study_design_scores_gemma":[0.00059449853,0.00008766836,0.4941025,0.00010155493,0.0000011440592,4.6515193e-8,0.005478361,0.000008923759,4.003334e-7,0.00096608524,0.49848303,0.00017576767],"about_ca_topic_score_codex":0.99361926,"about_ca_topic_score_gemma":0.99985653,"teacher_disagreement_score":0.47189078,"about_ca_system_score_codex":0.011742562,"about_ca_system_score_gemma":0.14710054,"threshold_uncertainty_score":0.9998791},"labels":[],"label_agreement":null},{"id":"W4406030289","doi":"10.1007/s10389-024-02393-x","title":"Barriers and facilitators to active transportation in people of color and people with disabilities: a rapid review","year":2025,"lang":"en","type":"review","venue":"Journal of Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Government of Canada","keywords":"Public health; Medicine; Gerontology; Psychology; Environmental health; Nursing","score_opus":0.054203164900342944,"score_gpt":0.3865638120477797,"score_spread":0.33236064714743674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406030289","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021325042,0.97283137,0.00004584639,0.004017397,0.000086295004,0.0013535137,0.0002239816,0.0000054352527,0.00011114698],"genre_scores_gemma":[0.005191797,0.99435973,0.000114606475,0.00018879706,0.00003165673,0.000035059795,0.000013151777,0.000007842808,0.000057336034],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9968127,0.0008358137,0.001317522,0.00025168707,0.00045082692,0.00033145753],"domain_scores_gemma":[0.9973999,0.0006805916,0.00090125523,0.00012936827,0.00025123215,0.00063764653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0047259047,0.00019897064,0.0021012267,0.00032255496,0.00013632735,0.000034483917,0.00021923833,0.00012261338,0.00010747599],"category_scores_gemma":[0.0012194527,0.00014221523,0.00017199421,0.0013330112,0.00019999639,0.00043999765,0.0000069587804,0.000350096,1.5578287e-7],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002623221,0.00006801574,0.058622915,0.122279845,0.00007902445,0.0000017670405,0.047854017,1.2241306e-7,6.7929316e-9,0.00024177464,0.00035982954,0.77046645],"study_design_scores_gemma":[0.00040782845,0.0005486974,0.04529057,0.051221203,0.00024328573,0.0000022432664,0.027899388,1.34182e-7,2.3306212e-8,0.00006338594,0.87407976,0.00024348877],"about_ca_topic_score_codex":0.0028064395,"about_ca_topic_score_gemma":0.055570718,"teacher_disagreement_score":0.87371993,"about_ca_system_score_codex":0.00040118035,"about_ca_system_score_gemma":0.009026617,"threshold_uncertainty_score":0.99659127},"labels":[],"label_agreement":null},{"id":"W4406033412","doi":"10.25578/rts_issn1951-6614_2023-04","title":"Impacts de l’environnement routier et cyclable sur les conflits vécus par les cyclistes dans la région urbaine de Québec","year":2023,"lang":"fr","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Cycling; Environmental science; Environmental planning; Transport engineering; Geography; Engineering; Forestry","score_opus":0.0211433110499433,"score_gpt":0.2559827545031318,"score_spread":0.2348394434531885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406033412","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88208336,0.0047309743,0.0054721716,0.060352392,0.00016198479,0.0003361791,0.000110822926,0.00029904285,0.046453062],"genre_scores_gemma":[0.93316334,0.001994794,0.0015930354,0.00015393176,0.00004969969,0.00003976001,0.00021656112,0.00004497358,0.06274388],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9900982,0.007205829,0.00059659296,0.00064925797,0.00053906394,0.0009110567],"domain_scores_gemma":[0.9952683,0.002321893,0.00036221635,0.00096693094,0.00064257975,0.00043808503],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.010566207,0.0003409019,0.00036710777,0.00012370819,0.0013268007,0.00041245657,0.0009933101,0.00034886898,0.0006232694],"category_scores_gemma":[0.0016906379,0.000364668,0.00024782753,0.00092241354,0.0015195016,0.00050143496,0.00023210274,0.00046968,0.00009657121],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001912466,0.00085799483,0.7745406,0.00018286417,0.00008225601,0.000026295049,0.093121685,0.00009982639,0.0048184255,0.1046283,0.0023014958,0.019321114],"study_design_scores_gemma":[0.00077319716,0.000001730553,0.76516443,0.0010540992,0.00011995625,0.000004168989,0.0031954118,0.0036124627,0.01287975,0.0033026142,0.20935066,0.0005415324],"about_ca_topic_score_codex":0.3550881,"about_ca_topic_score_gemma":0.5863542,"teacher_disagreement_score":0.23126608,"about_ca_system_score_codex":0.00059701724,"about_ca_system_score_gemma":0.001040011,"threshold_uncertainty_score":0.99997336},"labels":[],"label_agreement":null},{"id":"W4406035048","doi":"10.31235/osf.io/97kxh","title":"Everyday adaptation to summer heatwaves: A global perspective","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Recreation; China; Adaptation (eye); Geography; Phone; Climate change; Work (physics); Perspective (graphical); Political science; Psychology; Computer science; Engineering; Ecology","score_opus":0.060545833367330784,"score_gpt":0.3870725321112499,"score_spread":0.32652669874391915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406035048","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.056444895,0.00044270616,0.048983004,0.010101148,0.001996409,0.0014771074,0.00033693135,0.00038180713,0.87983596],"genre_scores_gemma":[0.9792525,0.000024311727,0.0024115099,0.00085145864,0.0003123127,0.00005135279,0.000026873318,0.000004185737,0.017065449],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982562,0.000134965,0.00023874946,0.0006408524,0.00042685372,0.00030235268],"domain_scores_gemma":[0.99901515,0.000054609667,0.00006116887,0.0003105319,0.00038925928,0.000169253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044044503,0.00018425657,0.00026060248,0.00006316905,0.00025756453,0.00014713906,0.00046239074,0.00028430365,0.0007294904],"category_scores_gemma":[0.00015842564,0.00017731664,0.0001838074,0.0004220673,0.00012465936,0.00013205652,0.00015297039,0.00023588295,0.000056262747],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023211999,0.0005446739,0.28224498,0.00019056586,0.000331655,0.000015875608,0.18349756,0.0012205931,0.000004064755,0.49180552,0.026380708,0.013531683],"study_design_scores_gemma":[0.00056621974,0.00007195329,0.36477348,0.0004657248,0.00030080916,8.106986e-8,0.18487482,0.00053058396,0.000044473665,0.37720525,0.069633946,0.0015326497],"about_ca_topic_score_codex":0.18779685,"about_ca_topic_score_gemma":0.1824949,"teacher_disagreement_score":0.92280763,"about_ca_system_score_codex":0.0011761918,"about_ca_system_score_gemma":0.0014370417,"threshold_uncertainty_score":0.83242244},"labels":[],"label_agreement":null},{"id":"W4406185715","doi":"10.1016/j.scs.2025.106131","title":"Beyond density: Examining overlooked drivers of housing and neighborhood greenhouse gas emissions","year":2025,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Greenhouse gas; Environmental science; Natural resource economics; Business; Economics; Geology","score_opus":0.010115533374604429,"score_gpt":0.2533602460013102,"score_spread":0.24324471262670574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406185715","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9777334,0.00081955595,0.0002574013,0.0003397215,0.000060599374,0.00017510146,0.0000044444773,0.00005274823,0.020557059],"genre_scores_gemma":[0.9908667,0.00082127197,0.00022169847,0.00018188401,0.000040921124,0.0000032498676,0.0000026746145,0.000006617149,0.007854956],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99899924,0.00004885738,0.00017885589,0.00023437775,0.00017284349,0.00036584036],"domain_scores_gemma":[0.9994224,0.00013598632,0.000070152615,0.00012202651,0.00015274798,0.00009671188],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004422758,0.00010977452,0.00022310011,0.00003808679,0.0012296486,0.000102082115,0.00009710065,0.00013111069,0.00003283273],"category_scores_gemma":[0.000070042224,0.00010841637,0.000077054785,0.0002823442,0.0008085599,0.00031848365,0.000089810244,0.00013101619,5.2776905e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016897717,0.00004879966,0.7958697,0.00051906507,0.00008059435,0.000010807905,0.09696642,0.0000029571306,0.00009376944,0.100353174,0.0012494181,0.0047883554],"study_design_scores_gemma":[0.00064179115,0.000043679815,0.1365876,0.00008566631,0.00010773767,1.482572e-7,0.7918168,0.00010577494,0.00013835343,0.06671314,0.0035431928,0.00021615239],"about_ca_topic_score_codex":0.0037538593,"about_ca_topic_score_gemma":0.00035331788,"teacher_disagreement_score":0.6948503,"about_ca_system_score_codex":0.00008727027,"about_ca_system_score_gemma":0.00034206652,"threshold_uncertainty_score":0.94575876},"labels":[],"label_agreement":null},{"id":"W4406195340","doi":"10.1016/j.trpro.2024.12.047","title":"Transit Ridership in Toronto and COVID-19: Statistical and Spatial Analysis of Ridership Changes During the Pandemic","year":2025,"lang":"en","type":"article","venue":"Transportation research procedia","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ted Rogers Centre for Heart Research; McGill University","funders":"Mitacs; Toronto Metropolitan University","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Transport engineering; Statistical analysis; Geography; Medicine; Statistics; Engineering; Virology; Outbreak; Mathematics","score_opus":0.0907061057160925,"score_gpt":0.4462698624633873,"score_spread":0.3555637567472948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406195340","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99303687,0.0008476447,0.0020604446,0.0027597737,0.000017854192,0.0005626719,0.000098905526,0.00003735323,0.00057850085],"genre_scores_gemma":[0.99866164,0.00091655896,0.00002705091,0.00005632996,0.000023764978,0.000063589534,0.00003406451,0.0000054449392,0.00021157096],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982769,0.00025836824,0.00029484715,0.00032744542,0.0005013994,0.00034104797],"domain_scores_gemma":[0.99874926,0.0007790742,0.000045934783,0.00011278256,0.00013141909,0.00018152835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023244533,0.000090397065,0.0002400449,0.00025382458,0.00035996604,0.000044602923,0.00016641294,0.00010325678,0.0003209571],"category_scores_gemma":[0.00038112118,0.000074865115,0.000035401645,0.0010194249,0.000898077,0.00017414884,0.0000037016848,0.00023076596,1.8472285e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001759686,0.000036338275,0.96148807,0.00038306048,0.00006323833,0.000002820368,0.030537385,0.000017163711,0.00009137546,0.0054784883,0.000018157742,0.0017079319],"study_design_scores_gemma":[0.0004479617,0.0000270536,0.98080844,0.000023014993,0.0001248971,1.0793368e-8,0.016462913,0.00015643155,0.00004698204,0.0016455527,0.00018695233,0.00006977604],"about_ca_topic_score_codex":0.14543363,"about_ca_topic_score_gemma":0.95497936,"teacher_disagreement_score":0.80954576,"about_ca_system_score_codex":0.00015525059,"about_ca_system_score_gemma":0.0004209415,"threshold_uncertainty_score":0.86025697},"labels":[],"label_agreement":null},{"id":"W4406195345","doi":"10.1016/j.trpro.2024.12.058","title":"Analysing gender equality in Barcelona through (spatiotemporal) segmentation","year":2025,"lang":"en","type":"article","venue":"Transportation research procedia","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Generalitat de Catalunya","keywords":"Segmentation; Computer science; Gender equality; Artificial intelligence; Transport engineering; Computer vision; Engineering; Gender studies; Sociology","score_opus":0.1699382542599973,"score_gpt":0.4950862481992096,"score_spread":0.3251479939392123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406195345","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9721661,0.00022586722,0.0059882067,0.0014697305,0.00009528198,0.00084908254,0.000019005176,0.00013696663,0.01904974],"genre_scores_gemma":[0.9974385,0.000104956445,0.0011887609,0.00012475949,0.00005861625,0.00010729416,0.00015470665,0.000010797202,0.00081161154],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971731,0.00036160095,0.0005260544,0.00043980806,0.0009957564,0.00050369895],"domain_scores_gemma":[0.99903935,0.00017802266,0.000072033625,0.00017845386,0.00044565793,0.000086488115],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030060066,0.000111942354,0.000188605,0.0003298782,0.00053080596,0.00009491414,0.0002716651,0.00014175147,0.00022822878],"category_scores_gemma":[0.00013910544,0.00011771096,0.00007066032,0.0025002386,0.00035814746,0.00067455706,0.0000042697816,0.00038851428,0.000014267979],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005295272,0.00014349779,0.9292027,0.00018458875,0.000017570255,0.0000057012217,0.03436522,0.00004851985,0.00040291788,0.032280512,0.00020837231,0.0030874538],"study_design_scores_gemma":[0.00046258766,0.0000110925175,0.95792544,0.00004815663,0.000013956093,4.366305e-9,0.009451897,0.00005728229,0.0011530365,0.02880193,0.0019526858,0.00012193536],"about_ca_topic_score_codex":0.020347927,"about_ca_topic_score_gemma":0.12398375,"teacher_disagreement_score":0.10363582,"about_ca_system_score_codex":0.0002480489,"about_ca_system_score_gemma":0.0008269232,"threshold_uncertainty_score":0.98617566},"labels":[],"label_agreement":null},{"id":"W4406195381","doi":"10.1016/j.trpro.2024.12.223","title":"Analyzing Mobility Gaps Between People with and without Disabilities using Oaxaca-Blinder Decomposition Method","year":2025,"lang":"en","type":"article","venue":"Transportation research procedia","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal","funders":"Polytechnique Montréal","keywords":"Decomposition; Psychology; Gerontology; Computer science; Medicine; Chemistry","score_opus":0.08667974993391077,"score_gpt":0.4752399024761767,"score_spread":0.38856015254226595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406195381","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9679658,0.00014709616,0.029458467,0.0006055421,0.000029223816,0.0008974636,0.00003732938,0.00013439264,0.0007246823],"genre_scores_gemma":[0.99225837,0.000032199,0.007277976,0.00001629462,0.0000839778,0.00008165553,0.00005852648,0.000015906387,0.00017506932],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975249,0.00034420754,0.0003807338,0.00054650474,0.0006958703,0.00050778576],"domain_scores_gemma":[0.9984359,0.00051618624,0.00006996512,0.00019694926,0.0005952208,0.00018576116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029112804,0.00015113362,0.00029714004,0.00026148092,0.0011396299,0.00015701867,0.00020781395,0.00014436571,0.000076927005],"category_scores_gemma":[0.0001534966,0.0001345966,0.0000556187,0.0014065925,0.0007013126,0.00069906475,0.000006974764,0.00040334486,0.000001653442],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000097511256,0.00006386661,0.98519033,0.00030019294,0.000037780886,4.9798916e-7,0.01054583,0.000040969502,0.00014314993,0.0025582504,0.00001018045,0.0010114528],"study_design_scores_gemma":[0.0004564804,0.00003945262,0.98403436,0.00010647671,0.000079017205,4.3280505e-8,0.007800039,0.00016871729,0.00051119004,0.006527367,0.00012642295,0.00015042291],"about_ca_topic_score_codex":0.010517302,"about_ca_topic_score_gemma":0.052675247,"teacher_disagreement_score":0.042157944,"about_ca_system_score_codex":0.000147666,"about_ca_system_score_gemma":0.00066005165,"threshold_uncertainty_score":0.99607176},"labels":[],"label_agreement":null},{"id":"W4406195392","doi":"10.1016/j.trpro.2024.12.230","title":"Cyclist-Pedestrian Cohabitation: Lessons to learn from a pilot project on pedestrians streets in Montréal (Canada)","year":2025,"lang":"en","type":"article","venue":"Transportation research procedia","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Pedestrian; Cohabitation; Transport engineering; Engineering; Psychology; Applied psychology; Geography; Archaeology","score_opus":0.11004372102338286,"score_gpt":0.4290654295904858,"score_spread":0.319021708567103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406195392","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9598544,0.00009008468,0.00010048291,0.02256089,0.00017943815,0.0019138363,0.00028037807,0.00012729228,0.014893175],"genre_scores_gemma":[0.99705416,0.000066217995,0.00017684446,0.0002676846,0.00013016562,0.0003527609,0.00019473593,0.000019934967,0.0017375092],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99644965,0.00028378126,0.00049950246,0.0006418528,0.0014432096,0.0006819762],"domain_scores_gemma":[0.99846333,0.00058464974,0.00006384702,0.0002581389,0.00040035325,0.00022968506],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012133983,0.00017621144,0.00026330928,0.00043784184,0.0005857184,0.00012309603,0.00047808656,0.00012331165,0.00010751578],"category_scores_gemma":[0.0005351097,0.00018408321,0.000052156178,0.0022382536,0.00020455303,0.00027728867,0.0000057549746,0.00059270766,0.00001896056],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011497143,0.00068397523,0.93938386,0.00014411153,0.000039340397,0.00010959955,0.016683443,0.00027832325,0.0002323813,0.016444877,0.015808227,0.009042126],"study_design_scores_gemma":[0.000965613,0.00015690013,0.9704006,0.00015207524,0.000011931722,7.1627446e-9,0.0068710456,0.00002583008,0.00012198989,0.002105324,0.019004174,0.000184527],"about_ca_topic_score_codex":0.91778165,"about_ca_topic_score_gemma":0.9976375,"teacher_disagreement_score":0.07985587,"about_ca_system_score_codex":0.00045010453,"about_ca_system_score_gemma":0.0053022606,"threshold_uncertainty_score":0.94059825},"labels":[],"label_agreement":null},{"id":"W4406195501","doi":"10.1016/j.trpro.2024.12.201","title":"Which businesses are for and against “pop-up” cycleways: the case of Brisbane's CityLink Cycleway","year":2025,"lang":"en","type":"article","venue":"Transportation research procedia","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Brisbane City Council; Ryerson University; Mitacs; Toronto Metropolitan University","keywords":"Business; Transport engineering; Advertising; Engineering; Marketing","score_opus":0.06806202030853692,"score_gpt":0.41334452740319605,"score_spread":0.34528250709465913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406195501","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9902855,0.00047415518,0.00059516344,0.0051291664,0.00013321952,0.0013595332,0.0001382999,0.00008209864,0.0018028526],"genre_scores_gemma":[0.9984203,0.00033472132,0.00016553153,0.00008763229,0.00010018068,0.00020089497,0.000044770546,0.000014226217,0.0006317709],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998279,0.00011647622,0.00039727555,0.0003653156,0.000420217,0.00042175362],"domain_scores_gemma":[0.9972147,0.00066336006,0.00011526726,0.00021440838,0.00166361,0.00012867677],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020379208,0.00012020205,0.00021931254,0.00017607684,0.0010066861,0.000091220885,0.0003088366,0.0001412358,0.000033574073],"category_scores_gemma":[0.0008202236,0.00009497844,0.00006403695,0.0015128303,0.00073852885,0.00033144755,0.0000064130054,0.00026893968,0.0000013438132],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044442032,0.0003740576,0.876954,0.0029567985,0.00011984404,0.00007377206,0.03443068,0.00004680849,0.0007344997,0.05618984,0.003300567,0.0243747],"study_design_scores_gemma":[0.0009154205,0.000039232695,0.96034324,0.00019963706,0.000058753994,3.9292308e-7,0.018028162,0.00010721202,0.0012346851,0.012165279,0.006724362,0.00018362893],"about_ca_topic_score_codex":0.0055082184,"about_ca_topic_score_gemma":0.18037143,"teacher_disagreement_score":0.17486322,"about_ca_system_score_codex":0.000034577657,"about_ca_system_score_gemma":0.0007224493,"threshold_uncertainty_score":0.83458465},"labels":[],"label_agreement":null},{"id":"W4406226597","doi":"10.1016/j.trpro.2024.12.173","title":"How will individuals travel post-COVID? A statistical framework to identify the determinants of different travel behaviors","year":2025,"lang":"en","type":"article","venue":"Transportation research procedia","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal","funders":"National Research Council Canada; National Natural Science Foundation of China","keywords":"Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Travel behavior; Psychology; Transport engineering; Geography; Medicine; Engineering; Virology; Outbreak","score_opus":0.06320965679911336,"score_gpt":0.44987952807849874,"score_spread":0.38666987127938535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406226597","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9876221,0.000039032526,0.005592447,0.004183928,0.00020054348,0.001576132,0.0005497531,0.000047565936,0.00018851711],"genre_scores_gemma":[0.9980474,0.000029137776,0.0006263801,0.00014602239,0.00007303165,0.00028210122,0.00006371691,0.00001886126,0.000713335],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9964725,0.00025181155,0.00052781653,0.0004847472,0.0015986586,0.0006645043],"domain_scores_gemma":[0.9976653,0.00088789547,0.00010103927,0.0003196822,0.00070576445,0.00032033375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019081943,0.00017990594,0.0003341136,0.00029809066,0.0006505235,0.00020794575,0.00083517336,0.00021227548,0.00020814661],"category_scores_gemma":[0.0010861636,0.00013443877,0.00011196068,0.0011853623,0.0009299964,0.00034202257,0.00001183995,0.0006500031,0.0000056913445],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000077965,0.00028970613,0.9184917,0.00025166196,0.00002363627,0.000010097466,0.02929012,5.230455e-7,0.0014402976,0.04605476,0.00029768382,0.0037718017],"study_design_scores_gemma":[0.00024112916,0.000083921135,0.9721736,0.000110758905,0.000054937886,3.537514e-8,0.011797154,0.00000370024,0.0020992039,0.0130622545,0.00024045,0.00013290744],"about_ca_topic_score_codex":0.0022004163,"about_ca_topic_score_gemma":0.035041295,"teacher_disagreement_score":0.053681802,"about_ca_system_score_codex":0.000064267275,"about_ca_system_score_gemma":0.0008090809,"threshold_uncertainty_score":0.9825667},"labels":[],"label_agreement":null},{"id":"W4406226651","doi":"10.1016/j.trpro.2024.12.170","title":"Identifying the Influence of Dangerous Intersections in Measuring Accessibility for Children's Independent Mobility, A Case Study in Montreal, Canada","year":2025,"lang":"en","type":"article","venue":"Transportation research procedia","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institut National de la Recherche Scientifique; Polytechnique Montréal","funders":"Social Sciences and Humanities Research Council of Canada; Polytechnique Montréal","keywords":"Transport engineering; Psychology; Engineering","score_opus":0.07940898591758838,"score_gpt":0.41373275139943316,"score_spread":0.3343237654818448,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406226651","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958698,0.000076280565,0.00009477681,0.00016461143,0.0000625854,0.003586826,0.000044101824,0.0000239562,0.00007706588],"genre_scores_gemma":[0.9991392,0.000010546036,0.000016143289,0.000012077747,0.000016471697,0.00074566633,0.000008396361,0.0000072269313,0.00004428518],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99735105,0.00032143705,0.00067319104,0.0004517158,0.0007795917,0.00042301294],"domain_scores_gemma":[0.99852794,0.00047287613,0.00009461105,0.00027552023,0.00055713253,0.00007191205],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004499511,0.00010954036,0.00021978123,0.0003077898,0.00045697787,0.000062203675,0.00049494935,0.00007586083,0.000010614436],"category_scores_gemma":[0.00047578322,0.00009544996,0.000050809493,0.0017887099,0.00028507694,0.00043874947,0.0000147684395,0.0004841132,1.5282608e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000073384246,0.00045113428,0.96493626,0.00015108894,0.000016802122,0.00005304556,0.032932263,0.0005082096,0.000026029345,0.000060371854,0.000012342368,0.0007790745],"study_design_scores_gemma":[0.0006583255,0.000026759932,0.94143134,0.00007708946,0.000013294452,2.243069e-7,0.056680948,0.00001742937,0.00006826303,0.0009529122,0.0000031371808,0.000070300535],"about_ca_topic_score_codex":0.9869132,"about_ca_topic_score_gemma":0.99988556,"teacher_disagreement_score":0.023748683,"about_ca_system_score_codex":0.00043613912,"about_ca_system_score_gemma":0.0018610398,"threshold_uncertainty_score":0.38923365},"labels":[],"label_agreement":null},{"id":"W4406226694","doi":"10.1016/j.trpro.2024.12.175","title":"House size or walkability, what makes you more satisfied? Understanding the relationship between housing characteristics, local accessibility, and life satisfaction during the COVID-19 confinement period","year":2025,"lang":"en","type":"article","venue":"Transportation research procedia","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Montréal; Polytechnique Montréal","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Walkability; Coronavirus disease 2019 (COVID-19); Period (music); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Gerontology; Psychology; Environmental health; Demography; Medicine; Sociology; Physical activity; Virology; Physical medicine and rehabilitation","score_opus":0.17945111092067384,"score_gpt":0.4298401353543927,"score_spread":0.25038902443371885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406226694","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9649895,0.0002154612,0.004156111,0.028259492,0.00015928209,0.0018282253,0.00006522886,0.0002495669,0.00007717019],"genre_scores_gemma":[0.99874926,0.00023573331,0.00004419069,0.00035957838,0.00017455044,0.00016025559,0.000028197017,0.00002701134,0.00022123258],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9963557,0.0005704912,0.00070121535,0.00061413477,0.001174387,0.00058405404],"domain_scores_gemma":[0.9950343,0.0037787328,0.00017713425,0.00038642602,0.00029950164,0.00032389959],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0044023287,0.00021191513,0.00028251257,0.0001519151,0.0042596813,0.000946109,0.0004255723,0.00019862955,0.00024214067],"category_scores_gemma":[0.0035742628,0.00014053703,0.00008005337,0.0011081016,0.0024303156,0.0010533807,0.000028862332,0.0007708483,0.000003171053],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002044862,0.000031084848,0.96279985,0.0005753774,0.00003319787,0.0000054185753,0.03050934,0.00001148929,0.000014616387,0.0045852177,0.00006689242,0.0011630238],"study_design_scores_gemma":[0.000545445,0.00002318435,0.9123827,0.00009668515,0.000058337475,1.1766564e-7,0.07973068,0.000015593687,0.000015331818,0.006747294,0.00023988311,0.00014472935],"about_ca_topic_score_codex":0.005527372,"about_ca_topic_score_gemma":0.07945503,"teacher_disagreement_score":0.073927656,"about_ca_system_score_codex":0.00067697937,"about_ca_system_score_gemma":0.0017369754,"threshold_uncertainty_score":0.99703664},"labels":[],"label_agreement":null},{"id":"W4406226866","doi":"10.1016/j.trpro.2024.12.074","title":"Spatial and Energy footprints of Cars in Cities: New Metrics and Illustrations for the Montreal Area","year":2025,"lang":"en","type":"article","venue":"Transportation research procedia","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Transport engineering; Energy (signal processing); Regional science; Geography; Economic geography; Computer science; Architectural engineering; Engineering; Statistics","score_opus":0.07991319773653378,"score_gpt":0.38539408942032904,"score_spread":0.3054808916837953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406226866","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98344874,0.0009141073,0.010153676,0.0020934811,0.00006524109,0.00066164153,0.00006499816,0.000025745416,0.0025723951],"genre_scores_gemma":[0.99802506,0.000559798,0.00015424218,0.000017783319,0.0000335073,0.00008369374,0.000016689039,0.000004222677,0.0011050185],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99903756,0.000039487037,0.0002283829,0.00018075122,0.00030996217,0.00020385417],"domain_scores_gemma":[0.99889565,0.0006282181,0.000035668727,0.000075719974,0.00029574352,0.00006898568],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077151874,0.0000563547,0.00011124529,0.00020721175,0.00025492697,0.000036133042,0.00012768753,0.00007308946,0.000014938001],"category_scores_gemma":[0.00024868324,0.000046119203,0.00002316782,0.00088132336,0.00042624856,0.0001263464,0.0000030143783,0.000110228364,4.8810104e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009267829,0.00005356488,0.87099326,0.00012585525,0.000022789527,0.0000010087526,0.018249894,0.000020422756,0.0000459335,0.056388963,0.00038412568,0.053621497],"study_design_scores_gemma":[0.00046118157,0.000028311788,0.97897124,0.000026870192,0.00001631116,6.949833e-9,0.005634601,0.00023801648,0.00014052399,0.012481208,0.0019587644,0.000042963587],"about_ca_topic_score_codex":0.10003051,"about_ca_topic_score_gemma":0.5770513,"teacher_disagreement_score":0.47702074,"about_ca_system_score_codex":0.00002489184,"about_ca_system_score_gemma":0.00063306186,"threshold_uncertainty_score":0.90596247},"labels":[],"label_agreement":null},{"id":"W4406227139","doi":"10.1016/j.trpro.2024.12.114","title":"Cycling Network Discontinuities as Indicators for Performance Evaluation: Case Study in Four Cities","year":2025,"lang":"en","type":"article","venue":"Transportation research procedia","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University; Polytechnique Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Cycling; Classification of discontinuities; Transport engineering; Computer science; Environmental science; Engineering; Geography; Mathematics","score_opus":0.11814590961416012,"score_gpt":0.46690387297417474,"score_spread":0.34875796336001463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406227139","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99198586,0.00019244601,0.00009699607,0.00034560965,0.00017649945,0.0034602648,0.000011946433,0.00008162048,0.0036487444],"genre_scores_gemma":[0.9968683,0.000041054453,0.0001140715,0.000029722709,0.00019170741,0.0015253844,0.000025337053,0.000012875545,0.0011915321],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99738234,0.0002469665,0.00047460946,0.0003760439,0.0009560836,0.0005639413],"domain_scores_gemma":[0.9987441,0.00043242934,0.00007238759,0.00015149153,0.0005115635,0.00008802921],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0068035573,0.00011495572,0.0001981633,0.00040561112,0.0010143222,0.000117052004,0.00026122722,0.00009879173,0.00011323648],"category_scores_gemma":[0.00026590397,0.00011483186,0.00005618393,0.0016396521,0.00033738575,0.0005455245,0.000004760067,0.00031643835,0.0000026675625],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000884787,0.00010755042,0.94235307,0.00011634543,0.000018097458,0.00004355403,0.042685103,0.00018766908,9.475432e-7,0.0023554065,0.00014270705,0.011901088],"study_design_scores_gemma":[0.00094436423,0.0001170529,0.90403605,0.000102260135,0.000034275985,1.6646294e-7,0.08979781,0.00021805853,0.000024931369,0.004058269,0.00054211804,0.00012462774],"about_ca_topic_score_codex":0.006197772,"about_ca_topic_score_gemma":0.19978046,"teacher_disagreement_score":0.19358268,"about_ca_system_score_codex":0.00014696883,"about_ca_system_score_gemma":0.0013309632,"threshold_uncertainty_score":0.93692183},"labels":[],"label_agreement":null},{"id":"W4406227143","doi":"10.1016/j.trpro.2024.12.094","title":"An identification of models to help in the design of national strategies and policies to reduce greenhouse gas emissions.","year":2025,"lang":"en","type":"article","venue":"Transportation research procedia","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; Montreal Clinical Research Institute; Université de Montréal; Transport Canada","funders":"","keywords":"Greenhouse gas; Identification (biology); Environmental economics; Environmental science; Business; Economics","score_opus":0.1619169082854709,"score_gpt":0.4603697565707233,"score_spread":0.2984528482852524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406227143","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9875883,0.000050189457,0.0088270875,0.0020175306,0.000013842978,0.00095126167,0.000030902465,0.00002014948,0.00050071994],"genre_scores_gemma":[0.9990941,0.000047415222,0.0005768558,0.000041662082,0.000018357841,0.00011933595,0.00001331503,0.0000046136524,0.000084339845],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9982029,0.00020539072,0.00037617446,0.00020592514,0.0008209482,0.00018864372],"domain_scores_gemma":[0.9988429,0.00021350376,0.00005180969,0.00012558827,0.0006897973,0.000076421835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031624956,0.00005852441,0.00010801052,0.0003587155,0.00018553247,0.000066697066,0.0003452473,0.000056834695,0.00000887207],"category_scores_gemma":[0.00014509284,0.00004848212,0.000018151468,0.0014512778,0.0002412415,0.00059208577,0.0000026941464,0.00011401575,5.867974e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005002229,0.00076987024,0.08687006,0.0004825323,0.000020830215,0.0000018878577,0.44439438,0.01951567,0.08396367,0.35811186,0.0009829943,0.004386047],"study_design_scores_gemma":[0.00021287562,0.000102310965,0.84872353,0.000094117604,0.000007020068,1.5658902e-8,0.0659326,0.00046529528,0.00826538,0.07604649,0.000066957065,0.00008341166],"about_ca_topic_score_codex":0.005373282,"about_ca_topic_score_gemma":0.012593407,"teacher_disagreement_score":0.76185346,"about_ca_system_score_codex":0.000031291063,"about_ca_system_score_gemma":0.00088138256,"threshold_uncertainty_score":0.81228304},"labels":[],"label_agreement":null},{"id":"W4406227144","doi":"10.1016/j.trpro.2024.12.144","title":"Comparing scenarios to improve accessibility to local opportunities in Montreal, Canada.","year":2025,"lang":"en","type":"article","venue":"Transportation research procedia","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; Polytechnique Montréal","funders":"Prime Minister's Office Singapore; Natural Sciences and Engineering Research Council of Canada; Land Transport Authority - Singapore","keywords":"Transport engineering; Environmental planning; Environmental resource management; Computer science; Business; Environmental science; Engineering","score_opus":0.10474190697121592,"score_gpt":0.4006242863873504,"score_spread":0.2958823794161345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406227144","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98097384,0.000048218375,0.0008470579,0.0069910833,0.00017746714,0.001496066,0.000054819036,0.00008913432,0.009322289],"genre_scores_gemma":[0.9963091,0.00001537701,0.00010261512,0.0006100394,0.000056724803,0.00029974896,0.000036560927,0.000012171911,0.0025576656],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99683,0.00015556648,0.0005427014,0.000583561,0.0010768721,0.0008113347],"domain_scores_gemma":[0.9983709,0.00018748356,0.0000393653,0.0002733243,0.0006348393,0.00049411185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020847998,0.00014981834,0.00028529993,0.00039730166,0.00047423525,0.000117256954,0.0006235433,0.00010743058,0.00012600477],"category_scores_gemma":[0.00026163118,0.00015659374,0.000040556122,0.0017907702,0.00026002273,0.0003826079,0.000016674012,0.00041867845,0.000010396599],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021415754,0.00015104431,0.9648782,0.00021373913,0.000011728434,0.000038809478,0.011838344,0.0003475326,0.00008686443,0.0026061668,0.0069705066,0.0126429135],"study_design_scores_gemma":[0.0003203781,0.00002652225,0.9787335,0.00010050473,0.0000058340643,5.5930474e-9,0.0125137735,0.00009778344,0.00030076192,0.0009737827,0.006770564,0.0001565958],"about_ca_topic_score_codex":0.9447424,"about_ca_topic_score_gemma":0.99944705,"teacher_disagreement_score":0.054704648,"about_ca_system_score_codex":0.0006802297,"about_ca_system_score_gemma":0.004659794,"threshold_uncertainty_score":0.82662743},"labels":[],"label_agreement":null},{"id":"W4406227867","doi":"10.1016/j.trpro.2024.12.133","title":"High Speed Railway and its Urban Growth Implications: Public Perception about Factors Inducing Urban Development","year":2025,"lang":"en","type":"article","venue":"Transportation research procedia","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Mitacs","keywords":"Transport engineering; Perception; Urban planning; Business; Environmental planning; Engineering; Psychology; Environmental science; Civil engineering","score_opus":0.09195538507781953,"score_gpt":0.3857025781552075,"score_spread":0.29374719307738795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406227867","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99386233,0.0002838903,0.00024416688,0.002527582,0.00011104039,0.0010601165,0.000030852883,0.00023828533,0.001641745],"genre_scores_gemma":[0.99732584,0.0001676093,0.00030806006,0.00006878079,0.000116724135,0.0001319492,0.0002695857,0.000019516703,0.0015919505],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972883,0.00016394259,0.0005070877,0.0005909034,0.00079920096,0.0006505726],"domain_scores_gemma":[0.99821186,0.00018453482,0.00009014994,0.00016630437,0.0010589197,0.0002882533],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0018257932,0.00017738467,0.00021562366,0.00048641968,0.0014829064,0.0002393845,0.00037985542,0.00020914215,0.0002486326],"category_scores_gemma":[0.00033973219,0.00017239833,0.00005169638,0.0015959238,0.0003273127,0.0009650105,0.000009719163,0.00044867134,0.000021257489],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017772843,0.000103827515,0.92026037,0.00017989191,0.000024934094,9.216437e-7,0.03033372,4.7688025e-7,0.000949672,0.045493737,0.00088909635,0.0017455663],"study_design_scores_gemma":[0.00033520564,0.000016750593,0.9883039,0.000063325795,0.000013401999,1.5506625e-8,0.004577838,0.0000046527753,0.0007797124,0.0017759508,0.003958206,0.00017102697],"about_ca_topic_score_codex":0.0018197737,"about_ca_topic_score_gemma":0.007814352,"teacher_disagreement_score":0.06804353,"about_ca_system_score_codex":0.00025406745,"about_ca_system_score_gemma":0.0012483809,"threshold_uncertainty_score":0.999817},"labels":[],"label_agreement":null},{"id":"W4406235525","doi":"10.1080/23748834.2024.2440979","title":"‘I just want safety’: understanding the needs of diverse residents to facilitate equitable active transportation planning in Durham Region, Canada","year":2025,"lang":"en","type":"article","venue":"Cities & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ontario Tech University","funders":"Government of Canada","keywords":"Environmental planning; Transportation planning; Business; Transport engineering; Geography; Engineering","score_opus":0.11671727998196003,"score_gpt":0.3395756993667381,"score_spread":0.22285841938477807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406235525","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9769032,0.00028575334,0.0030372771,0.011246317,0.0004021826,0.0005415932,0.00012258749,0.000022297942,0.00743879],"genre_scores_gemma":[0.99758357,0.0000635898,0.000010637757,0.0006437812,0.000020685326,0.000008710736,0.000018423281,0.000003562035,0.001647061],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99862254,0.0001339339,0.00037981334,0.00014359884,0.00030235472,0.0004177719],"domain_scores_gemma":[0.9994281,0.00018345377,0.000113282564,0.00013050214,0.00005473613,0.00008990528],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006930085,0.00008548359,0.00020773047,0.00013155605,0.0007619019,0.0000199503,0.00021377149,0.000040184834,0.000026342053],"category_scores_gemma":[0.000044114597,0.00007479394,0.00003178288,0.00073269336,0.00016314092,0.00019765743,0.000010372675,0.00013446755,2.8036268e-7],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027391443,0.000022066612,0.5013002,0.0002491651,0.00002075778,0.000008168057,0.4718426,0.00068861444,0.0000043208206,0.019365637,0.0053845253,0.0008400447],"study_design_scores_gemma":[0.00020200129,0.000017302738,0.45073327,0.0002176559,0.000007018168,1.7509082e-8,0.5443324,0.000004029707,0.000012576674,0.0030892773,0.0013222563,0.000062217296],"about_ca_topic_score_codex":0.9223537,"about_ca_topic_score_gemma":0.9766689,"teacher_disagreement_score":0.072489776,"about_ca_system_score_codex":0.0014912373,"about_ca_system_score_gemma":0.0025679027,"threshold_uncertainty_score":0.58600104},"labels":[],"label_agreement":null},{"id":"W4406314239","doi":"10.1016/j.jth.2025.101985","title":"Evaluation of a volunteer transportation program that supports age-friendly rural communities","year":2025,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Saskatchewan; Saskatchewan Health Authority","funders":"Social Sciences and Humanities Research Council; Social Sciences and Humanities Research Council of Canada","keywords":"Volunteer; Transport engineering; Business; Environmental planning; Economic growth; Geography; Engineering; Economics; Ecology","score_opus":0.05516804073406288,"score_gpt":0.40000756270763566,"score_spread":0.34483952197357276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406314239","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9920508,0.001477106,0.0007989596,0.0021429644,0.0006434443,0.00081812165,0.000042819374,0.0000394064,0.0019863765],"genre_scores_gemma":[0.99837,0.00043059074,0.00069481035,0.00014892808,0.00008656242,0.000016725488,0.00008319552,0.000010834608,0.0001583817],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9959497,0.00047064334,0.0012960111,0.000101502075,0.0018002945,0.00038184389],"domain_scores_gemma":[0.9974371,0.000072892224,0.0009276442,0.00021897611,0.0011581299,0.00018526157],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007999658,0.00016271099,0.0005725439,0.00027796158,0.00036729916,0.000028138442,0.0003940648,0.00012937521,0.00030925326],"category_scores_gemma":[0.000023672788,0.00014672354,0.0003322535,0.00051746547,0.00038794606,0.00063913665,0.0000017947622,0.00037920146,4.642733e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017824849,0.0007297198,0.8715678,0.0002919486,0.00013245527,0.000011525933,0.055063505,0.00008860645,0.000015627647,0.0007084926,0.0005480694,0.07066402],"study_design_scores_gemma":[0.0011547218,0.00032960062,0.95706636,0.00046229927,0.00040654995,8.6031383e-7,0.028641049,0.000022316075,0.00007126128,0.0020597063,0.009660029,0.00012525161],"about_ca_topic_score_codex":0.011257197,"about_ca_topic_score_gemma":0.074344866,"teacher_disagreement_score":0.08549858,"about_ca_system_score_codex":0.00028315757,"about_ca_system_score_gemma":0.0035273882,"threshold_uncertainty_score":0.99532694},"labels":[],"label_agreement":null},{"id":"W4406324433","doi":"10.1177/23998083241306829","title":"A high-resolution global time series of street-network sprawl","year":2025,"lang":"en","type":"article","venue":"Environment and Planning B Urban Analytics and City Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Joint Research Centre; Social Sciences and Humanities Research Council of Canada; European Commission; Alexander von Humboldt-Stiftung","keywords":"Street network; Urban sprawl; Stylized fact; Computer science; Urbanization; Network science; Grid; Offset (computer science); Geography; Social connectedness; Network analysis; Complex network; Cartography; Urban planning; Transport engineering; World Wide Web","score_opus":0.012696289972424439,"score_gpt":0.24961825852822003,"score_spread":0.2369219685557956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406324433","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.994329,0.00074259425,0.00082219276,0.00029482596,0.00008509581,0.00008340597,0.00001622918,0.000014639195,0.0036120561],"genre_scores_gemma":[0.9979337,0.00010680551,0.00070432574,0.00003793987,0.000055228662,8.301566e-7,0.0000037662417,0.0000011418489,0.0011562696],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989929,0.00002764997,0.00016716727,0.00026831002,0.00029428976,0.00024969244],"domain_scores_gemma":[0.9996578,0.00003803336,0.00007576278,0.00011659497,0.000015926953,0.00009585416],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007558495,0.000085019674,0.0001501376,0.00004035205,0.000650382,0.00008110675,0.00017080501,0.000050997303,0.000049518138],"category_scores_gemma":[0.00003861623,0.00007943324,0.00002472014,0.00038087374,0.0016745459,0.0002623454,0.00006299558,0.000062271785,0.000001077172],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013085295,0.000019722625,0.98981607,0.000007153219,0.0000088475435,0.0000011177156,0.00040288173,0.0002786231,0.000055033684,0.00855812,0.0004695262,0.00036983239],"study_design_scores_gemma":[0.00012760599,0.000034752105,0.99040115,0.000044650533,0.00004326084,6.813341e-8,0.00045735162,0.00091460545,0.00008100214,0.0046190033,0.00316371,0.00011286756],"about_ca_topic_score_codex":0.0006330289,"about_ca_topic_score_gemma":0.00016999294,"teacher_disagreement_score":0.0039391164,"about_ca_system_score_codex":0.000052802836,"about_ca_system_score_gemma":0.00008228521,"threshold_uncertainty_score":0.6169934},"labels":[],"label_agreement":null},{"id":"W4406403348","doi":"10.5539/jel.v14n3p61","title":"Tactile Maps and the Geographical Reasoning of Blind Youth and Adults in Sobral, Ceará, Brazil","year":2025,"lang":"en","type":"article","venue":"Journal of Education and Learning","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Psychology; Mathematics education; Geography","score_opus":0.009232097277414612,"score_gpt":0.3130461422222303,"score_spread":0.30381404494481573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406403348","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99347043,0.0022160187,0.0000123454965,0.0019856924,0.0001198977,0.000055000313,2.9940654e-7,0.0000019502259,0.00213836],"genre_scores_gemma":[0.99895424,0.000534039,0.00010455286,0.000075189986,0.000065771106,5.8100784e-7,6.4701567e-7,0.0000014913381,0.00026350238],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993552,0.00018899555,0.00021197421,0.000068977155,0.000103283695,0.00007156606],"domain_scores_gemma":[0.9994812,0.00018144897,0.00017899771,0.00002949876,0.00008427641,0.00004459456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012809815,0.00003813669,0.000121371835,0.00011913294,0.00021542523,0.00005929117,0.000051678835,0.000042882995,0.00001710034],"category_scores_gemma":[0.00042938802,0.000026552065,0.000025885032,0.00021874878,0.00025516667,0.0001782097,0.000008704301,0.00030808756,4.0621455e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017107636,0.000051725976,0.9376718,0.000021075492,0.000008233671,1.8303137e-7,0.04293719,0.0000023176067,0.000006473763,0.0011071264,0.000041027997,0.017981771],"study_design_scores_gemma":[0.0010832365,0.000027248945,0.9139646,0.00025483835,0.000029424365,0.0000010077925,0.08104888,0.000029145713,0.0000063654993,0.0010023242,0.0025152927,0.000037577985],"about_ca_topic_score_codex":0.0011044228,"about_ca_topic_score_gemma":0.00039369054,"teacher_disagreement_score":0.038111694,"about_ca_system_score_codex":0.000008013756,"about_ca_system_score_gemma":0.00018540799,"threshold_uncertainty_score":0.16695644},"labels":[],"label_agreement":null},{"id":"W4406449799","doi":"10.1016/j.healthplace.2024.103405","title":"Combined associations of takeaway food availability and walkability with adiposity: Cross-sectional and longitudinal analyses","year":2025,"lang":"en","type":"article","venue":"Health & Place","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"Medical Research Council","keywords":"Walkability; Cross-sectional study; Environmental health; Geography; Level design; Built environment; Medicine; Computer science; Ecology; Biology","score_opus":0.08329045665946347,"score_gpt":0.4128492303222235,"score_spread":0.32955877366276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406449799","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956094,0.00060062157,0.0002321585,0.001507057,0.00008226506,0.00039540767,0.00011017094,0.00004340096,0.001419499],"genre_scores_gemma":[0.99914604,0.00002801494,0.00029292988,0.00011990824,0.000023958375,0.000011015525,0.00001762858,0.000003018726,0.00035750307],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99845684,0.00022099476,0.00039443307,0.00037797372,0.00029082343,0.0002589324],"domain_scores_gemma":[0.9987761,0.00046515252,0.00019568707,0.0001780739,0.00023625855,0.00014873198],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017334892,0.000102742415,0.00030023538,0.000059588976,0.00086987205,0.000072018025,0.00009712219,0.000094616335,0.00006724484],"category_scores_gemma":[0.00021874176,0.000091213165,0.000041413754,0.00038888454,0.00072628236,0.00022848368,0.000024625695,0.00016341518,4.0386814e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010360131,0.00015710607,0.9970775,0.00013807089,0.00004807537,2.0013594e-7,0.00081437663,0.000003352326,0.000005859108,0.0013393548,0.0000773812,0.00023512063],"study_design_scores_gemma":[0.00048081612,0.00016350725,0.99725944,0.000019276706,0.000027295793,1.1688708e-7,0.00015874158,0.000024750372,0.00002904643,0.0015267873,0.00023766894,0.00007258355],"about_ca_topic_score_codex":0.010984586,"about_ca_topic_score_gemma":0.04831356,"teacher_disagreement_score":0.037328977,"about_ca_system_score_codex":0.00021993212,"about_ca_system_score_gemma":0.0008908027,"threshold_uncertainty_score":0.99560136},"labels":[],"label_agreement":null},{"id":"W4406509223","doi":"10.1016/j.yspm.2013.02.016","title":"10.1016/j.yspm.2013.02.016","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Medicine; Disease; Environmental health; Internal medicine","score_opus":0.009729443714868958,"score_gpt":0.22072058558147348,"score_spread":0.21099114186660453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406509223","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0132099325,0.000057742982,5.16269e-7,0.0014385068,0.0000031726013,0.00018494437,0.000011738341,0.00017334385,0.9849201],"genre_scores_gemma":[0.011493179,4.5032766e-7,0.000048989303,0.00005063133,0.00026122367,0.000009902019,0.000007732932,0.000010773665,0.9881171],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989168,0.000058039866,0.0001626007,0.00024482646,0.00027967818,0.00033804076],"domain_scores_gemma":[0.99946976,0.000031927233,0.000024161001,0.00022223617,0.000044079665,0.00020781043],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003317592,0.00009820034,0.00013658822,0.000034739744,0.00028403825,0.00006845866,0.00034256364,0.00007905054,0.998868],"category_scores_gemma":[0.000024258234,0.000091752496,0.00007063454,0.00027673383,0.00013186323,0.00022864949,0.000011659743,0.00008665144,0.98611253],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053979955,0.000098930905,0.00005964682,0.0000048246293,0.000011289759,0.0000052803907,0.00054772827,0.000006479408,0.00001296026,0.000010212847,0.33410102,0.66508764],"study_design_scores_gemma":[0.00010027967,0.00002856483,0.0012053899,0.000006257705,0.0000103040675,7.951966e-8,0.000008214969,0.00000613269,0.000018898752,0.00006635508,0.99841124,0.00013827783],"about_ca_topic_score_codex":0.0013416942,"about_ca_topic_score_gemma":0.00007405459,"teacher_disagreement_score":0.66494936,"about_ca_system_score_codex":0.000043022817,"about_ca_system_score_gemma":0.00007572015,"threshold_uncertainty_score":0.37415582},"labels":[],"label_agreement":null},{"id":"W4406582122","doi":"10.1007/s00221-024-06980-y","title":"Effects of lifestyle activity level on anticipatory locomotor adjustments for pedestrian circumvention: an exploratory study","year":2025,"lang":"en","type":"article","venue":"Experimental Brain Research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Centre for Interdisciplinary Research in Rehabilitation; Université Laval; Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean","funders":"Natural Sciences and Engineering Research Council of Canada; Réseau Provincial de Recherche en Adaptation-Réadaptation","keywords":"Neuroscience; Pedestrian; Motor activity; Physical medicine and rehabilitation; Psychology; Medicine; Internal medicine; Transport engineering; Engineering","score_opus":0.19346364037201216,"score_gpt":0.508624048549225,"score_spread":0.3151604081772129,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406582122","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9941563,0.00025765135,0.000072995645,0.0002049779,0.0003553127,0.0034190703,0.000019968631,0.00004822733,0.0014654689],"genre_scores_gemma":[0.99773455,0.0000032105088,0.000035066332,0.000057166588,0.00015483833,0.0007900554,0.000007621792,0.000015002356,0.0012025189],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99639124,0.001435431,0.00025026844,0.0005173773,0.0009046123,0.00050107786],"domain_scores_gemma":[0.99821424,0.001000309,0.00006626348,0.00036499443,0.00016539611,0.00018879965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030905323,0.00014356256,0.00025936766,0.00025205582,0.0008423058,0.00007426165,0.0005078958,0.00010828447,0.00009435959],"category_scores_gemma":[0.00040021288,0.00014626313,0.000112482754,0.00052677386,0.000492129,0.0004200083,0.00008047509,0.00023805775,0.000008829417],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0030227494,0.05251434,0.5401213,0.00079771806,0.00035435802,0.000067706904,0.09027989,0.0000023066864,0.28532928,0.0051346296,0.005906453,0.016469229],"study_design_scores_gemma":[0.0037286414,0.0025176303,0.590801,0.00013483313,0.000018218698,2.0935696e-8,0.03957326,0.000016746922,0.3612539,0.00040480858,0.0013156527,0.00023530878],"about_ca_topic_score_codex":0.0010725089,"about_ca_topic_score_gemma":0.0008460204,"teacher_disagreement_score":0.07592461,"about_ca_system_score_codex":0.00031531285,"about_ca_system_score_gemma":0.0005071988,"threshold_uncertainty_score":0.647842},"labels":[],"label_agreement":null},{"id":"W4406612637","doi":"10.1109/wsc63780.2024.10838854","title":"A Mentored Experience Accumulation Differential Model: Rapid Parameter Space Analysis Applied to Royal Canadian Air Force Pilot Production, Absorption and Retention","year":2024,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Department of National Defence; Defence Research and Development Canada","funders":"","keywords":"Absorption (acoustics); Differential (mechanical device); Atmospheric model; Space (punctuation); Materials science; Environmental science; Analytical Chemistry (journal); Chemistry; Computer science; Physics; Chromatography; Composite material; Thermodynamics; Meteorology","score_opus":0.04692158189312141,"score_gpt":0.31387113156138846,"score_spread":0.26694954966826706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406612637","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95220643,0.000029718914,0.04315574,0.0011169157,0.00024279435,0.0005154532,0.0000072673256,0.00014309342,0.0025825696],"genre_scores_gemma":[0.9938202,0.0000056945714,0.00054028066,0.00005649118,0.00015112445,0.00007471373,0.000049684615,0.000008357543,0.005293486],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986491,0.00004039673,0.00020476051,0.00052657985,0.00030191801,0.00027722845],"domain_scores_gemma":[0.99946934,0.000017746243,0.00003111759,0.00016907188,0.00006471084,0.00024802188],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002969705,0.00011557973,0.00014210244,0.00027496557,0.00036604662,0.00022222484,0.00009913695,0.000066347915,0.00039676178],"category_scores_gemma":[0.000030057176,0.00010501112,0.00006787615,0.00077330717,0.00008945112,0.00035112872,0.00001149087,0.00006912555,0.000007787145],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011394658,0.00058981753,0.39058825,0.00037405675,0.0017375887,0.0000123450845,0.29723397,0.1293836,0.044122063,0.071057245,0.0075199883,0.056241594],"study_design_scores_gemma":[0.00037951808,0.00014064176,0.61345303,0.000039507253,0.0009302795,2.0780901e-7,0.004340053,0.3684059,0.0022094024,0.007154263,0.0020637014,0.00088351173],"about_ca_topic_score_codex":0.100089215,"about_ca_topic_score_gemma":0.46195328,"teacher_disagreement_score":0.3618641,"about_ca_system_score_codex":0.00019152806,"about_ca_system_score_gemma":0.000106369596,"threshold_uncertainty_score":0.9059034},"labels":[],"label_agreement":null},{"id":"W4406704163","doi":"10.1016/j.jth.2025.101989","title":"Public transport investments as generators of economic and social activity","year":2025,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Business; Public transport; Economics; Natural resource economics; Public economics; Engineering; Transport engineering","score_opus":0.05176208189817401,"score_gpt":0.3515650714772275,"score_spread":0.2998029895790535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406704163","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9858158,0.0006060634,0.00019841568,0.0102075385,0.0004899521,0.00021212385,0.000035427875,0.000014941811,0.0024196894],"genre_scores_gemma":[0.9982994,0.0005215519,0.00018998448,0.0006273351,0.00018364452,0.0000020109676,0.000005663439,0.000008984443,0.0001614286],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980389,0.00013994474,0.0008901605,0.00020336824,0.0003650738,0.00036253995],"domain_scores_gemma":[0.99881244,0.000037272646,0.00065037765,0.00010769898,0.00012710315,0.0002651272],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00181741,0.00014769533,0.0006129756,0.00022921932,0.0004295149,0.000018600133,0.00028423217,0.00014098255,0.00011888797],"category_scores_gemma":[0.0000081738135,0.0001397684,0.00023599676,0.00023986709,0.00038660667,0.0006048426,0.0000036265271,0.00030049027,8.026535e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015176696,0.00026508002,0.9752386,0.00020197484,0.00011270695,0.000010200585,0.005825155,0.0000030884719,0.0000680991,0.008695782,0.00021913703,0.009208385],"study_design_scores_gemma":[0.0010610535,0.000117004056,0.9818598,0.000053314852,0.00006840209,0.0000010224043,0.00066682446,0.000001715452,0.0003069289,0.0035136836,0.012230845,0.00011940013],"about_ca_topic_score_codex":0.003771929,"about_ca_topic_score_gemma":0.009329274,"teacher_disagreement_score":0.012483549,"about_ca_system_score_codex":0.00027555585,"about_ca_system_score_gemma":0.0041616163,"threshold_uncertainty_score":0.7382529},"labels":[],"label_agreement":null},{"id":"W4406722562","doi":"10.1016/j.trip.2024.101314","title":"Equitable transportation and resilience hubs: Analysis of underserved population needs, usage, and travel behaviour","year":2025,"lang":"en","type":"article","venue":"Transportation Research Interdisciplinary Perspectives","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Resilience (materials science); Business; Population; Transport engineering; Environmental health; Medicine; Engineering","score_opus":0.055501005309690085,"score_gpt":0.43126794400327145,"score_spread":0.37576693869358135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406722562","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.993124,0.0007223214,0.0020259956,0.0013661088,0.000045779907,0.00050890015,0.00013993496,0.000042193657,0.002024761],"genre_scores_gemma":[0.9981262,0.0002476624,0.0002181499,0.0000076336755,0.00001777029,0.000037188944,0.00020848673,0.000008989872,0.001127926],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99763584,0.00025769067,0.000523893,0.00052424555,0.00063606375,0.00042228447],"domain_scores_gemma":[0.99880034,0.00027969008,0.000119872515,0.00021088023,0.00044988806,0.00013934962],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016188769,0.00015580375,0.0003826412,0.0013803814,0.00094434817,0.000086871056,0.00022964308,0.00014202838,0.00015432945],"category_scores_gemma":[0.00004380908,0.00015908967,0.00013676604,0.003302777,0.0010958688,0.0007865157,0.000014430093,0.00027701963,5.252298e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021501697,0.00019951642,0.84131277,0.00009597419,0.00020671927,0.0000041558646,0.119540855,0.000101851416,0.00063833775,0.037132192,0.00002941674,0.0005231734],"study_design_scores_gemma":[0.0002717759,0.00006765803,0.7644916,0.000063082254,0.00031907065,1.5476424e-8,0.22819048,0.00016442205,0.0001007066,0.006217689,0.000007462711,0.000106022344],"about_ca_topic_score_codex":0.010027062,"about_ca_topic_score_gemma":0.10814371,"teacher_disagreement_score":0.108649634,"about_ca_system_score_codex":0.00013203084,"about_ca_system_score_gemma":0.00014581863,"threshold_uncertainty_score":0.9965653},"labels":[],"label_agreement":null},{"id":"W4406739999","doi":"10.1016/j.trf.2025.01.021","title":"Perceptions toward pedestrians and micromobility devices in off-street cycling facilities and multi-use paths in metropolitan Vancouver, Canada","year":2025,"lang":"en","type":"article","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Cycling; Metropolitan area; Transport engineering; Poison control; Perception; Pedestrian; Environmental health; Gerontology; Geography; Engineering; Psychology; Medicine","score_opus":0.09467827412119827,"score_gpt":0.41991369340476126,"score_spread":0.325235419283563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406739999","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99726707,0.0008178739,0.00001676058,0.0007468935,0.00019913977,0.0005012255,0.0003218426,0.00002781567,0.00010137707],"genre_scores_gemma":[0.9979757,0.0011097791,0.00013848479,0.0000646632,0.000013248409,0.00006311449,0.000046886973,0.000005432089,0.0005826568],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977816,0.00043049123,0.000466642,0.0005649441,0.00025381747,0.00050253136],"domain_scores_gemma":[0.99918586,0.00036241888,0.00004132861,0.00014783388,0.000103109116,0.0001594623],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001275863,0.00014787691,0.00027306486,0.00028273498,0.0004040534,0.00005427159,0.00014031418,0.00020412417,0.000072300965],"category_scores_gemma":[0.00008556385,0.00015210317,0.000030001578,0.000499965,0.0009980475,0.000317431,0.0000057874854,0.0005080286,2.718925e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006412433,0.00023265734,0.98874766,0.000057552214,0.0000072483654,0.000030865944,0.0072079403,0.000005070934,0.000029988814,0.000118329,0.00024731123,0.003251261],"study_design_scores_gemma":[0.0008320028,0.000033253087,0.9626498,0.000059143807,0.000015414533,1.0787073e-7,0.03466113,0.000015887617,0.000004450034,0.0000767937,0.0015272525,0.00012474823],"about_ca_topic_score_codex":0.65746117,"about_ca_topic_score_gemma":0.99881476,"teacher_disagreement_score":0.3413536,"about_ca_system_score_codex":0.00013904928,"about_ca_system_score_gemma":0.00045316995,"threshold_uncertainty_score":0.62025875},"labels":[],"label_agreement":null},{"id":"W4406749773","doi":"10.1016/j.tra.2025.104376","title":"Who is willing to take transit in the future? Older adults’ perceived challenges and barriers to using public transit across Canada","year":2025,"lang":"en","type":"article","venue":"Transportation Research Part A Policy and Practice","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"National Research Council Canada; McGill University","funders":"Social Sciences and Humanities Research Council of Canada; Social Sciences and Humanities Research Council; National Research Council Canada; National Research Council; Fonds de Recherche du Québec-Société et Culture; Government of Canada; McGill University","keywords":"Public transport; Transit (satellite); Transport engineering; Travel behavior; Rail transit; Business; Psychology; Engineering","score_opus":0.0986137709223278,"score_gpt":0.44321683912859394,"score_spread":0.3446030682062661,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406749773","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7776758,0.0012350294,0.00009748059,0.21864526,0.000059811442,0.0008248004,0.00009142416,0.000014460714,0.0013559246],"genre_scores_gemma":[0.99109274,0.0022622412,0.00010712093,0.006079029,0.0002212725,0.00006681351,0.000009301033,0.000009892679,0.00015157262],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99676335,0.00082883495,0.00034292677,0.0004959617,0.00081721455,0.0007517193],"domain_scores_gemma":[0.99781203,0.0010919927,0.000042184955,0.00020771685,0.00033560893,0.00051046757],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.003907279,0.00015754094,0.00022157525,0.00016684346,0.0013444345,0.0002419155,0.0003024684,0.00012901914,0.00006614923],"category_scores_gemma":[0.0006512711,0.00013754747,0.000037730435,0.0013659738,0.00025239025,0.000843684,0.0000045303514,0.0004672251,7.679619e-7],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006746096,0.00008284544,0.021015763,0.00025674334,0.000051735067,0.000041015322,0.94178796,0.000045735447,0.00004651588,0.006791074,0.0005857114,0.028620295],"study_design_scores_gemma":[0.00049210974,0.00003252381,0.4675811,0.00013512111,0.00002165863,4.3868062e-7,0.25465533,0.000025617659,0.000013463175,0.00015773442,0.27672365,0.00016127118],"about_ca_topic_score_codex":0.6398313,"about_ca_topic_score_gemma":0.9808397,"teacher_disagreement_score":0.6871326,"about_ca_system_score_codex":0.000119965975,"about_ca_system_score_gemma":0.001634926,"threshold_uncertainty_score":0.99995565},"labels":[],"label_agreement":null},{"id":"W4406776083","doi":"10.1177/07399863241310924","title":"Interplay of Neighborhood and Psychosocial Factors in Predicting Trajectories of Allostatic Load Among Latinx Adults in the United States","year":2025,"lang":"en","type":"article","venue":"Hispanic Journal of Behavioral Sciences","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Allostatic load; Psychosocial; Psychology; Poison control; Gerontology; Injury prevention; Human factors and ergonomics; Occupational safety and health; Suicide prevention; Demography; Clinical psychology; Developmental psychology; Medicine; Environmental health; Sociology; Psychiatry","score_opus":0.022574208650376813,"score_gpt":0.34470657528089077,"score_spread":0.322132366630514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406776083","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989701,0.00021194541,0.000013817543,0.00022070762,0.000215653,0.00014842999,0.000008358303,0.0000032848056,0.00020769936],"genre_scores_gemma":[0.999841,0.000075080905,0.00004519123,0.000010679247,0.0000166188,0.0000012423656,9.951078e-7,0.0000018771254,0.0000073274127],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981256,0.00023810928,0.0006920791,0.00013241827,0.0005962303,0.00021554196],"domain_scores_gemma":[0.99894804,0.00030598821,0.0004876365,0.000060084603,0.00015598451,0.00004227329],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020638353,0.000091539085,0.00027519252,0.00027312804,0.00015089616,0.000045800523,0.0004866952,0.00006221325,0.000023304585],"category_scores_gemma":[0.00014279548,0.000059838534,0.000066498,0.0014658561,0.0011813798,0.00049384445,0.000017577186,0.00022853159,2.346621e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004240762,0.00016443909,0.90711284,0.00001723105,0.0000034962206,0.0000023926016,0.09186575,0.000011761061,0.00007649616,0.00020850022,0.0000064397805,0.00048827732],"study_design_scores_gemma":[0.00038857386,0.0002277649,0.88845056,0.00033206903,0.0000259865,1.7547389e-7,0.109361246,0.000048474118,0.000102337515,0.0010014346,0.000010319427,0.00005107208],"about_ca_topic_score_codex":0.023702897,"about_ca_topic_score_gemma":0.05794362,"teacher_disagreement_score":0.034240723,"about_ca_system_score_codex":0.00007104865,"about_ca_system_score_gemma":0.00038405566,"threshold_uncertainty_score":0.98279834},"labels":[],"label_agreement":null},{"id":"W4406777988","doi":"10.1177/03611981241308873","title":"Estimating Pedestrian Volumes at Intersections using Artificial Intelligence: A ChatGPT Vision Approach","year":2025,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Pedestrian; Artificial intelligence; Computer vision; Computer science; Pedestrian detection; Transport engineering; Engineering","score_opus":0.1597383315717902,"score_gpt":0.46597972817786665,"score_spread":0.3062413966060764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406777988","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.944126,0.00022341708,0.048616722,0.003116749,0.0013876999,0.0011780733,0.000034207165,0.000049013022,0.0012680969],"genre_scores_gemma":[0.9899052,0.00017038126,0.008148683,0.000031599586,0.0004232626,0.000045200435,0.00001693191,0.0000319622,0.0012268263],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9911816,0.0019005042,0.0017825078,0.0005661798,0.003501516,0.0010676725],"domain_scores_gemma":[0.99434716,0.00095777755,0.00051413674,0.00048429953,0.0033041355,0.00039251838],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.008359092,0.000258108,0.00049300265,0.0014010535,0.0035256173,0.0003587455,0.0014306166,0.00030640463,0.00046316002],"category_scores_gemma":[0.0004924856,0.00021170461,0.00054189865,0.0044454597,0.0019179439,0.0010661943,0.000015934787,0.0022279292,0.000012068471],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0028540567,0.001407279,0.8715423,0.00083706336,0.000366386,0.000086529326,0.035256404,0.010916633,0.0036189733,0.02733207,0.0027739282,0.043008424],"study_design_scores_gemma":[0.0009605304,0.0005022571,0.8751753,0.0012777114,0.00023224174,3.829488e-7,0.037405096,0.01360267,0.001599849,0.060096115,0.008624545,0.0005233065],"about_ca_topic_score_codex":0.05812117,"about_ca_topic_score_gemma":0.26244715,"teacher_disagreement_score":0.20432596,"about_ca_system_score_codex":0.00090119126,"about_ca_system_score_gemma":0.0017115779,"threshold_uncertainty_score":0.9977717},"labels":[],"label_agreement":null},{"id":"W4406853769","doi":"10.1016/j.jth.2025.101988","title":"Parental travel behaviours, accompaniment, and children’s active transportation: A multi-site study","year":2025,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Trois-Rivières; Agricultural Research Institute of Ontario; TRIUMF; University of British Columbia; Crandall University; University of Lethbridge","funders":"Heart and Stroke Foundation of Canada","keywords":"Psychology; Travel behavior; Transport engineering; Geography; Engineering","score_opus":0.027953526068666728,"score_gpt":0.3653845876660316,"score_spread":0.33743106159736486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406853769","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951137,0.0011961224,0.0006988343,0.0015086138,0.0003640142,0.00081308954,0.00018468787,0.00002560384,0.00009539207],"genre_scores_gemma":[0.9987113,0.00036505813,0.00038124807,0.00024886004,0.00011582084,0.0000066111243,0.00004048115,0.000011888595,0.00011874983],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99756646,0.00015717286,0.0010283034,0.00030156804,0.0005499721,0.0003964931],"domain_scores_gemma":[0.9987828,0.000038759303,0.00052471785,0.00014297808,0.00016365446,0.00034709802],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011322432,0.00020515131,0.00060166646,0.00021452855,0.00058590836,0.00003820358,0.00028882927,0.00009453973,0.00008499779],"category_scores_gemma":[0.0000057446828,0.00018686867,0.00020788395,0.00038929287,0.0001966833,0.0005260105,0.0000025147106,0.00046202863,6.173764e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023383275,0.0015163055,0.95738906,0.000023849234,0.00010921455,0.000027380123,0.035679482,0.0000030952483,0.0000126413015,0.00006310303,0.00006259189,0.004879478],"study_design_scores_gemma":[0.002423752,0.00029611442,0.9866523,0.00013979213,0.00021102485,0.0000017333804,0.009889085,0.0000010996617,0.00003058711,0.00004577502,0.00016720127,0.00014149884],"about_ca_topic_score_codex":0.010338409,"about_ca_topic_score_gemma":0.060280446,"teacher_disagreement_score":0.049942035,"about_ca_system_score_codex":0.00020482726,"about_ca_system_score_gemma":0.0010452732,"threshold_uncertainty_score":0.9962518},"labels":[],"label_agreement":null},{"id":"W4406862715","doi":"10.4337/9781035321957.00017","title":"What's a city got to do? Setting minimum transit-based jobs accessibility to enhance travel time equity and public transport mode share in Canadian cities","year":2025,"lang":"en","type":"book-chapter","venue":"Edward Elgar Publishing eBooks","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Public transport; Equity (law); Transit (satellite); Mode (computer interface); Business; Transport engineering; Journey to work; Travel behavior; Regional science; Geography; Political science; Computer science; Engineering","score_opus":0.028177194052279503,"score_gpt":0.3090978532867118,"score_spread":0.2809206592344323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406862715","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13716035,0.00042906372,0.00045911866,0.019193128,0.0014143339,0.0033925148,0.002344813,0.00038178303,0.83522487],"genre_scores_gemma":[0.88147455,0.000011198133,0.0004880879,0.0037290603,0.00046100703,0.00014536067,0.0003724531,0.000087929555,0.113230325],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99273914,0.00021324794,0.0013487391,0.0021514192,0.0015285215,0.0020189593],"domain_scores_gemma":[0.9955747,0.00035327263,0.0002990839,0.0010081324,0.0006102887,0.0021545277],"candidate_categories":["metaepi_narrow","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0046878736,0.0008901445,0.0012959889,0.0012687799,0.0010253139,0.006794074,0.0024567512,0.0013207633,0.0009623435],"category_scores_gemma":[0.00072080083,0.0010099772,0.0003827823,0.0003746928,0.0005004933,0.0041048788,0.00022105097,0.0016365718,0.000012350134],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011989869,0.00048212596,0.24423546,0.0043558436,0.00069343054,0.00069191057,0.20077951,0.00008089353,0.0003324244,0.046273064,0.03695179,0.46392456],"study_design_scores_gemma":[0.0030028177,0.00039832332,0.25396433,0.012441956,0.0006545752,0.0000026704727,0.009970458,0.00039779046,0.0007804229,0.082448795,0.6258979,0.010039999],"about_ca_topic_score_codex":0.3055945,"about_ca_topic_score_gemma":0.95671225,"teacher_disagreement_score":0.74431425,"about_ca_system_score_codex":0.0017044308,"about_ca_system_score_gemma":0.008130155,"threshold_uncertainty_score":0.99997574},"labels":[],"label_agreement":null},{"id":"W4406926227","doi":"10.1097/jom.0000000000003315","title":"Examining Long-Haul Truck Driver Needs and Preferences to Improve the Truck Stop Environment","year":2025,"lang":"en","type":"article","venue":"Journal of Occupational and Environmental Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Saskatchewan; Saskatchewan Health Authority","funders":"","keywords":"Truck; Picnic; Demographics; Transport engineering; Business; Environmental health; Occupational safety and health; Sample (material); Medicine; Engineering; Geography; Demography; Automotive engineering; Sociology","score_opus":0.028041609739784555,"score_gpt":0.28888463946144616,"score_spread":0.2608430297216616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406926227","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99446905,0.0010149857,0.00042243532,0.0029627373,0.000223391,0.00015078904,0.000008483684,0.0000028026157,0.00074534543],"genre_scores_gemma":[0.9976474,0.0005143362,0.00013472559,0.0005385767,0.00025894007,0.000003914065,0.0000041710555,0.0000028879335,0.0008950711],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998906,0.00006272992,0.00033479417,0.00012805848,0.00043730016,0.00013108163],"domain_scores_gemma":[0.99946004,0.00017232833,0.00015292419,0.00007341903,0.000008501719,0.00013275974],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000593249,0.00009976944,0.00018426403,0.00009479105,0.00029273453,0.00002183077,0.00013458561,0.000046400997,0.00035962896],"category_scores_gemma":[0.00004361733,0.000059450133,0.000027482722,0.00008736275,0.000596957,0.00018925234,0.000040201365,0.00014274467,0.0000016582705],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013017851,0.00004500892,0.9659745,0.000009112349,0.000034934503,0.0000032512846,0.005268281,0.00001005409,0.0006751314,0.0001831904,0.00028261013,0.027383756],"study_design_scores_gemma":[0.00051784207,0.00021711674,0.98370844,0.00005289234,0.00006433988,0.0000020726254,0.0079239905,0.000008734265,0.000060612656,0.0007487482,0.0066328337,0.00006236123],"about_ca_topic_score_codex":0.00010219995,"about_ca_topic_score_gemma":0.00004751142,"teacher_disagreement_score":0.027321395,"about_ca_system_score_codex":0.000072055576,"about_ca_system_score_gemma":0.000036512953,"threshold_uncertainty_score":0.3937685},"labels":[],"label_agreement":null},{"id":"W4406948182","doi":"10.1177/036063251204200111","title":"Why Ride when you Can Walk?","year":2012,"lang":"en","type":"article","venue":"Lighting Design + Application","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science","score_opus":0.0333257165154011,"score_gpt":0.28930371071566713,"score_spread":0.255977994200266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406948182","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.46016735,0.0006895822,0.48689055,0.00967364,0.0005385668,0.0017698659,0.000009456026,0.00081067684,0.0394503],"genre_scores_gemma":[0.9920056,0.000007296579,0.005720841,0.0005412422,0.0008766642,0.00011137584,0.000016974247,0.000012508494,0.0007075074],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988079,0.00011694841,0.00020681143,0.00022391957,0.0002645668,0.0003798698],"domain_scores_gemma":[0.9993152,0.00009722852,0.00012430757,0.00024795518,0.0000606858,0.00015462124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011578056,0.000095667565,0.000106881846,0.000035808425,0.00048897497,0.00005777168,0.00026266236,0.00010033639,0.000113429625],"category_scores_gemma":[0.000052849995,0.00009142307,0.000043694727,0.00021941288,0.00008908975,0.00032864418,0.000011772437,0.00010374107,0.0000850838],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003300917,0.00030122197,0.8505443,0.00003780359,0.000027012917,6.3768374e-7,0.04358095,0.000010531267,0.019260326,0.022181531,0.019819686,0.04420299],"study_design_scores_gemma":[0.00036296222,0.000026372756,0.10365268,0.000029953824,0.0000947924,4.288637e-7,0.0015137811,0.00023337574,0.03387844,0.027084814,0.83247167,0.0006507393],"about_ca_topic_score_codex":0.004261406,"about_ca_topic_score_gemma":0.0007172931,"teacher_disagreement_score":0.812652,"about_ca_system_score_codex":0.00009519322,"about_ca_system_score_gemma":0.00005203349,"threshold_uncertainty_score":0.64419997},"labels":[],"label_agreement":null},{"id":"W4406954404","doi":"10.1177/25148486251315290","title":"The spatial politics of an urban carbon accounting standard","year":2025,"lang":"en","type":"article","venue":"Environment and Planning E Nature and Space","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Politics; Carbon fibers; Carbon accounting; Accounting; Environmental science; Business; Political science; Greenhouse gas; Computer science; Geology; Law; Oceanography","score_opus":0.005078828308873464,"score_gpt":0.25731871733121153,"score_spread":0.25223988902233807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406954404","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98742545,0.005208197,0.00004103871,0.00080903986,0.00012992333,0.00008130008,0.0000067232527,0.00001060668,0.0062877093],"genre_scores_gemma":[0.99816275,0.00018651468,0.00006890445,0.000052903466,0.00013983647,0.0000010446864,0.000003844993,0.000002558783,0.0013816316],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99942774,0.00004073905,0.000089108515,0.00013241301,0.00016138113,0.00014860532],"domain_scores_gemma":[0.99971133,0.000109014065,0.0000443607,0.00008705193,0.000007651946,0.00004058484],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036951125,0.000064361,0.000092880706,0.000021267702,0.0004953668,0.00005138522,0.000078972684,0.00012781026,0.0000048561988],"category_scores_gemma":[0.000031521657,0.000046922123,0.000015270936,0.00004267375,0.00023263291,0.00006529981,0.0000192006,0.00020638722,5.3998477e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029066328,0.000009386133,0.9908326,0.000011662322,0.000011464766,0.0000016727536,0.003762637,0.000003395333,0.00005729547,0.0032381744,0.00019338695,0.001849254],"study_design_scores_gemma":[0.00029721376,0.00005002015,0.8200517,0.000053194814,0.000049329003,9.446945e-8,0.004641614,0.00012363527,0.0005625289,0.0029096794,0.17112553,0.00013543323],"about_ca_topic_score_codex":0.00061367324,"about_ca_topic_score_gemma":0.00026940223,"teacher_disagreement_score":0.17093214,"about_ca_system_score_codex":0.000015933245,"about_ca_system_score_gemma":0.000027683252,"threshold_uncertainty_score":0.38100109},"labels":[],"label_agreement":null},{"id":"W4406960107","doi":"10.1177/03611981241311563","title":"Examining Spatial Transferability of Direct-Demand Models for Estimating Cyclist Counts at Intersections","year":2025,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Transferability; Computer science; Econometrics; Transport engineering; Data science; Statistics; Engineering; Mathematics","score_opus":0.14746218585482943,"score_gpt":0.43410931896850236,"score_spread":0.28664713311367296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406960107","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9447461,0.00015339251,0.04683941,0.0011468998,0.0009672863,0.0011406429,0.00014672817,0.000025782481,0.0048337835],"genre_scores_gemma":[0.9955659,0.00015555658,0.0023140404,0.000016083472,0.00015360586,0.000066128814,0.000015903584,0.000019091882,0.0016937067],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.995357,0.0008108236,0.0011828776,0.0003272797,0.0017729768,0.0005490747],"domain_scores_gemma":[0.99499047,0.0015903278,0.0002798691,0.00029597225,0.0026634478,0.00017992208],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0060475976,0.00014862792,0.00041400729,0.00052795024,0.0011176949,0.00006922506,0.0007241601,0.00017439821,0.00033216973],"category_scores_gemma":[0.00033241758,0.00012253417,0.00034664295,0.0012829211,0.0010653245,0.00049118977,0.0000044182384,0.0008236588,0.0000024187755],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0027658239,0.0005988622,0.9287229,0.0011591638,0.00032925597,0.000012859607,0.021037076,0.004931665,0.0021194876,0.008409601,0.0060607605,0.023852507],"study_design_scores_gemma":[0.0017460049,0.00033671779,0.9546829,0.0007373455,0.00015236116,4.3027548e-8,0.0047485414,0.0027320117,0.0018596309,0.022435164,0.010341678,0.00022761573],"about_ca_topic_score_codex":0.02477677,"about_ca_topic_score_gemma":0.19308326,"teacher_disagreement_score":0.16830648,"about_ca_system_score_codex":0.0003329077,"about_ca_system_score_gemma":0.0008780773,"threshold_uncertainty_score":0.98171735},"labels":[],"label_agreement":null},{"id":"W4406973295","doi":"10.1016/j.trf.2025.01.029","title":"Distance and perception of safety of the built environment are predominant factors influencing walking and bicycling to school: A systematic review","year":2025,"lang":"en","type":"review","venue":"Transportation Research Part F Traffic Psychology and Behaviour","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Transport engineering; Poison control; Human factors and ergonomics; Engineering; Perception; Occupational safety and health; Injury prevention; Applied psychology; Forensic engineering; Psychology; Environmental health; Medicine","score_opus":0.08704304153074786,"score_gpt":0.43740974291036744,"score_spread":0.35036670137961956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406973295","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2559496,0.7409204,0.000025151094,0.000115825234,0.000060082068,0.0027573486,0.00014334882,0.000011213616,0.00001701281],"genre_scores_gemma":[0.20742972,0.79225004,0.000024914487,0.00001563686,0.000011987429,0.00014562806,0.000027349764,0.000008765782,0.00008594399],"study_design_codex":"systematic_review","study_design_gemma":"observational","domain_scores_codex":[0.9965946,0.000941177,0.0011384616,0.00053126033,0.00049556576,0.00029892073],"domain_scores_gemma":[0.99852884,0.0003930874,0.00048132736,0.00034358352,0.00009826241,0.000154883],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00258951,0.0002270992,0.0013189315,0.00017706593,0.0004091001,0.0000197351,0.00030515582,0.00026183383,0.000056702134],"category_scores_gemma":[0.0001876309,0.00015428971,0.00017608952,0.00048681506,0.000690731,0.00010312833,0.000014306485,0.00048320007,7.025938e-7],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050698804,0.00021920478,0.15369715,0.7922975,0.000112186644,0.0000059368335,0.008933288,0.0000030692886,0.000004996115,0.00007903621,0.000057856014,0.04453911],"study_design_scores_gemma":[0.00028518148,0.000074367395,0.51593983,0.47238,0.0017925235,6.8564464e-7,0.003435495,4.807531e-7,7.375145e-7,0.000023845982,0.005783975,0.0002828659],"about_ca_topic_score_codex":0.00024190279,"about_ca_topic_score_gemma":0.0019436899,"teacher_disagreement_score":0.3622427,"about_ca_system_score_codex":0.00005362876,"about_ca_system_score_gemma":0.00016378447,"threshold_uncertainty_score":0.6291751},"labels":[],"label_agreement":null},{"id":"W4407071874","doi":"10.3727/152599525x17367484906435","title":"Driving Behavior Change: Modeling the Psychological Determinants of Sustainable Attendee Transportation to Special Events","year":2025,"lang":"en","type":"article","venue":"Event Management","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Tourism; Structural equation modeling; Marketing; Psychology; Business; Advertising; Economic geography; Political science; Economics; Computer science","score_opus":0.04259072883715589,"score_gpt":0.3753129949526231,"score_spread":0.33272226611546724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407071874","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.989489,0.000024746529,0.0023034073,0.00078455027,0.00043620085,0.0017545113,0.000002854612,0.000027935497,0.0051767635],"genre_scores_gemma":[0.99526894,0.000022640304,0.00013840567,0.00015335296,0.00019673131,0.0004104887,0.0000044147446,0.0000046467767,0.00380036],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99867636,0.00006533215,0.00032057645,0.00026896733,0.00035166554,0.00031707666],"domain_scores_gemma":[0.9995905,0.000014719596,0.00006728356,0.00021464968,0.00006270828,0.0000501037],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070102984,0.000095186115,0.00013944496,0.00009510335,0.00034386734,0.00002474683,0.0003993971,0.000047385667,0.00020001331],"category_scores_gemma":[0.000011495377,0.00007539283,0.00009556839,0.00042158386,0.00004800206,0.00016806246,0.00003140198,0.00007102793,0.0000061142628],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057421923,0.00060964876,0.90326196,0.000107267544,0.000030886815,0.00004648868,0.0070207636,0.00018939994,0.0000065084355,0.023126315,0.00059084623,0.06495251],"study_design_scores_gemma":[0.0002108761,0.000025894165,0.98506343,0.00006106978,0.00009028832,1.46823e-8,0.006532808,0.00011508445,0.000017428165,0.002874676,0.004910933,0.000097482516],"about_ca_topic_score_codex":0.0006407632,"about_ca_topic_score_gemma":0.0033568917,"teacher_disagreement_score":0.0818015,"about_ca_system_score_codex":0.00008838568,"about_ca_system_score_gemma":0.000016070202,"threshold_uncertainty_score":0.30744305},"labels":[],"label_agreement":null},{"id":"W4407073206","doi":"10.1016/j.tra.2025.104399","title":"Subjectivity matters: Investigating the relationship between perceived accessibility and travel behaviour","year":2025,"lang":"en","type":"article","venue":"Transportation Research Part A Policy and Practice","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Subjectivity; Psychology; Transport engineering; Sociology; Social psychology; Advertising; Engineering; Business; Epistemology","score_opus":0.23757819837210978,"score_gpt":0.5037831619992795,"score_spread":0.2662049636271697,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407073206","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9210105,0.000119380005,0.00017588328,0.07370895,0.00003328779,0.0005847017,0.000053264193,0.000040687246,0.004273356],"genre_scores_gemma":[0.9977086,0.00008155494,0.00016181565,0.00087749196,0.00018078231,0.00006292964,0.000036717658,0.0000070181127,0.0008830874],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99621785,0.0020629955,0.00035579025,0.00039950473,0.0005538637,0.00041001668],"domain_scores_gemma":[0.98590505,0.013284958,0.00011219586,0.00023226932,0.0002745289,0.00019100042],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.007923416,0.00011815149,0.00016773715,0.00016989038,0.0023949791,0.00032139,0.00022489016,0.00014491138,0.000030399431],"category_scores_gemma":[0.006571252,0.00009807526,0.000040919327,0.0010851115,0.001485379,0.001378278,0.000011966493,0.00073580584,0.000003869396],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049047012,0.000042008687,0.9529126,0.000064459935,0.000015362055,0.0000015339537,0.024187056,3.9400848e-7,0.000033788474,0.021680629,0.0002358681,0.0007772102],"study_design_scores_gemma":[0.0002481658,0.000017642218,0.9664266,0.000050232156,0.0000625567,1.3027515e-7,0.010016306,0.0000033653853,0.00001883884,0.019190159,0.00387431,0.00009170519],"about_ca_topic_score_codex":0.047964647,"about_ca_topic_score_gemma":0.022433845,"teacher_disagreement_score":0.07669811,"about_ca_system_score_codex":0.00007300239,"about_ca_system_score_gemma":0.0006847615,"threshold_uncertainty_score":0.99890375},"labels":[],"label_agreement":null},{"id":"W4407176619","doi":"10.61186/jgst.14.2.105","title":"Assessment of Sidewalk Accessibility for Wheelchair Users Considering Dynamic Environmental Factors (Rainfall)","year":2024,"lang":"en","type":"article","venue":"Journal of Geomatics Science and Technology","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Wheelchair; Environmental science; Transport engineering; Computer science; Environmental planning; Engineering; World Wide Web","score_opus":0.016422318790500417,"score_gpt":0.3344935162365701,"score_spread":0.31807119744606965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407176619","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99532795,0.00037756882,0.0024888616,0.0010474441,0.00031086855,0.00018650919,0.000012602224,0.000030580322,0.00021758946],"genre_scores_gemma":[0.99507874,0.000088471206,0.004772297,0.000011816157,0.000017514289,0.0000023950204,5.9412736e-7,0.000004752052,0.000023396717],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99846953,0.000019437119,0.000514308,0.00020078354,0.0005304291,0.00026553863],"domain_scores_gemma":[0.99911416,0.00021845386,0.00027861772,0.00014767204,0.00014963401,0.0000914893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022061206,0.00009387639,0.0002617518,0.0004499586,0.00031542307,0.000101219164,0.00046408377,0.00011022513,0.000027313883],"category_scores_gemma":[0.000365645,0.0000727672,0.000071884984,0.0006206645,0.002536082,0.00069938414,0.00006313573,0.00019238732,1.6402461e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000055329206,0.0001329752,0.93466246,0.00019152953,0.00004819217,0.000013410103,0.003131243,0.000011450284,0.038881246,0.009224101,0.000021600596,0.013676241],"study_design_scores_gemma":[0.0007674112,0.0007086764,0.76359403,0.00038735103,0.00020134643,0.000022934286,0.042483468,0.011179905,0.012263324,0.16556287,0.0023605207,0.00046816422],"about_ca_topic_score_codex":0.000028315659,"about_ca_topic_score_gemma":0.00017512013,"teacher_disagreement_score":0.17106844,"about_ca_system_score_codex":0.00021543758,"about_ca_system_score_gemma":0.0008345638,"threshold_uncertainty_score":0.93442994},"labels":[],"label_agreement":null},{"id":"W4407218103","doi":"10.1016/j.jval.2024.12.010","title":"Do Machine Learning Approaches Perform Better Than Regression Models in Mapping Studies? A Systematic Review","year":2025,"lang":"en","type":"review","venue":"Value in Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Science Foundation of Tianjin City; Natural Science Foundation of Tianjin-Science and Technology Correspondent Project; National Natural Science Foundation of China","keywords":"Computer science; Machine learning; Regression; Artificial intelligence; Statistics; Mathematics","score_opus":0.33778302718081404,"score_gpt":0.4250146218540537,"score_spread":0.08723159467323965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407218103","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000047097306,0.99279326,0.000021503414,0.00064048043,0.00020824243,0.0053729345,0.000010153782,0.000058565707,0.0008477779],"genre_scores_gemma":[0.00047542012,0.9980018,0.00019174727,0.00016344282,0.00009624296,0.00059784146,0.000045276345,0.000025550407,0.00040268],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9915342,0.004084803,0.0023587833,0.0007492883,0.0006014636,0.00067148654],"domain_scores_gemma":[0.99731493,0.0008714773,0.0011505288,0.000490459,0.00004710472,0.00012549959],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0124248,0.00044720795,0.0044511785,0.00046378613,0.00041734654,0.000055340908,0.0006420018,0.0002857319,0.000015790385],"category_scores_gemma":[0.0008189588,0.00030809286,0.00041730903,0.0016971414,0.000105551335,0.00025756162,0.000102088605,0.0012781537,0.000006614083],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[9.2680125e-7,0.000040949,0.0013426065,0.93091005,0.000030750496,0.0000060853217,0.0046134186,0.000031056145,1.2641212e-10,0.00025227253,0.000018329261,0.06275353],"study_design_scores_gemma":[0.00008403149,0.000013596594,0.000013790147,0.9864487,0.00016590317,5.330449e-7,0.0009421106,0.00063696684,1.2537058e-9,0.0006296966,0.010803611,0.00026105042],"about_ca_topic_score_codex":0.006233547,"about_ca_topic_score_gemma":0.0014662048,"teacher_disagreement_score":0.06249248,"about_ca_system_score_codex":0.0012448152,"about_ca_system_score_gemma":0.0014200505,"threshold_uncertainty_score":0.9999371},"labels":[],"label_agreement":null},{"id":"W4407222286","doi":"10.32920/28326275","title":"Measuring Toronto's vital signs – Comparing global and local ideal point analysis in an urban equity case study","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Equity (law); Point (geometry); Vital signs; Ideal (ethics); Geography; Financial economics; Economics; Political science; Mathematics; Medicine","score_opus":0.09881589956674915,"score_gpt":0.3915042623124552,"score_spread":0.2926883627457061,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407222286","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9646209,0.0003398105,0.005699211,0.000037375703,0.00023466654,0.0007988875,0.000048345824,0.00014321934,0.028077595],"genre_scores_gemma":[0.99953157,0.0000056717477,0.0001793268,0.000022328959,0.00011954033,0.000028589164,0.000024262225,0.0000055626606,0.00008316293],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9964795,0.00050109316,0.0006986785,0.0011095566,0.00066776644,0.00054339314],"domain_scores_gemma":[0.99875957,0.00006933543,0.00015423825,0.0005485673,0.00013695762,0.000331338],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0023824016,0.00034073845,0.0009044738,0.00011977011,0.00043623362,0.00045497288,0.0006148375,0.0002923785,0.00020094634],"category_scores_gemma":[0.000037098034,0.00034021167,0.00023238592,0.0005798818,0.0002944453,0.0005603992,0.0009501814,0.00043428433,6.027232e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035919573,0.0005755363,0.9810144,0.000049142596,0.00028622127,0.000531868,0.014204628,0.0006661282,8.52272e-7,0.0003205162,0.0000075158064,0.0023073056],"study_design_scores_gemma":[0.0006137179,0.00008103153,0.89263254,0.000044585293,0.0010178373,0.0000017848442,0.10100384,0.0030151743,0.00000385662,0.0009890837,0.0000076070296,0.00058893935],"about_ca_topic_score_codex":0.75072855,"about_ca_topic_score_gemma":0.98860884,"teacher_disagreement_score":0.23788033,"about_ca_system_score_codex":0.0014625993,"about_ca_system_score_gemma":0.00047792538,"threshold_uncertainty_score":0.999905},"labels":[],"label_agreement":null},{"id":"W4407222833","doi":"10.32920/28326275.v1","title":"Measuring Toronto's vital signs – Comparing global and local ideal point analysis in an urban equity case study","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Equity (law); Point (geometry); Financial economics; Geography; Economics; Regional science; Political science; Mathematics","score_opus":0.09881589956674915,"score_gpt":0.3915042623124552,"score_spread":0.2926883627457061,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407222833","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9646209,0.0003398105,0.005699211,0.000037375703,0.00023466654,0.0007988875,0.000048345824,0.00014321934,0.028077595],"genre_scores_gemma":[0.99953157,0.0000056717477,0.0001793268,0.000022328959,0.00011954033,0.000028589164,0.000024262225,0.0000055626606,0.00008316293],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9964795,0.00050109316,0.0006986785,0.0011095566,0.00066776644,0.00054339314],"domain_scores_gemma":[0.99875957,0.00006933543,0.00015423825,0.0005485673,0.00013695762,0.000331338],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0023824016,0.00034073845,0.0009044738,0.00011977011,0.00043623362,0.00045497288,0.0006148375,0.0002923785,0.00020094634],"category_scores_gemma":[0.000037098034,0.00034021167,0.00023238592,0.0005798818,0.0002944453,0.0005603992,0.0009501814,0.00043428433,6.027232e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035919573,0.0005755363,0.9810144,0.000049142596,0.00028622127,0.000531868,0.014204628,0.0006661282,8.52272e-7,0.0003205162,0.0000075158064,0.0023073056],"study_design_scores_gemma":[0.0006137179,0.00008103153,0.89263254,0.000044585293,0.0010178373,0.0000017848442,0.10100384,0.0030151743,0.00000385662,0.0009890837,0.0000076070296,0.00058893935],"about_ca_topic_score_codex":0.75072855,"about_ca_topic_score_gemma":0.98860884,"teacher_disagreement_score":0.23788033,"about_ca_system_score_codex":0.0014625993,"about_ca_system_score_gemma":0.00047792538,"threshold_uncertainty_score":0.999905},"labels":[],"label_agreement":null},{"id":"W4407424808","doi":"10.1016/j.tbs.2025.100996","title":"Quantifying physical activity during active commuting to school: A comparison of methodologies","year":2025,"lang":"en","type":"article","venue":"Travel Behaviour and Society","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"Consejería de Conocimiento, Investigación y Universidad, Junta de Andalucía; Junta de Andalucía; Ministerio de Economía y Competitividad; Ministerio de Asuntos Económicos y Transformación Digital, Gobierno de España; Universidad de Granada; Ministerio de Ciencia e Innovación; European Regional Development Fund; Federación Española de Enfermedades Raras","keywords":"Physical activity; Poison control; Human factors and ergonomics; Injury prevention; Transport engineering; Environmental health; Environmental science; Psychology; Forensic engineering; Engineering; Medicine; Physical medicine and rehabilitation","score_opus":0.1681880310208778,"score_gpt":0.4596274574665245,"score_spread":0.2914394264456467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407424808","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99646175,0.00004048397,0.0015923373,0.00033581344,0.00007881418,0.00023034263,0.000014440712,0.000057398294,0.001188602],"genre_scores_gemma":[0.99759597,0.000012133116,0.0021619264,0.000024328316,0.000038326478,0.0000098812,0.000001515801,0.0000049518976,0.00015099239],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989407,0.00017766646,0.00016361148,0.0002563914,0.00019694823,0.00026469273],"domain_scores_gemma":[0.9993169,0.00028815411,0.000083416024,0.00014470844,0.000072493465,0.00009437523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058280246,0.00011523581,0.00036925502,0.000028246059,0.0006987473,0.000045903533,0.0001903203,0.00011016673,0.0000123169775],"category_scores_gemma":[0.00010865894,0.00011064593,0.00018393299,0.00030717693,0.00030929994,0.00018160124,0.00006614579,0.00030318796,5.713828e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003737245,0.00018505474,0.92187786,0.00005383113,0.000030984167,2.765352e-7,0.05889006,0.0000029070327,0.013695449,0.00055612315,0.000033144468,0.0046369657],"study_design_scores_gemma":[0.0002031557,0.000014834087,0.9121482,0.00003872228,0.000060603365,2.1481293e-8,0.048799504,0.00003640931,0.038424052,0.0001676014,0.000006577002,0.00010036666],"about_ca_topic_score_codex":0.003729579,"about_ca_topic_score_gemma":0.000770222,"teacher_disagreement_score":0.024728604,"about_ca_system_score_codex":0.00007344094,"about_ca_system_score_gemma":0.00011129782,"threshold_uncertainty_score":0.56380326},"labels":[],"label_agreement":null},{"id":"W4407470550","doi":"10.1139/cjce-2024-0279","title":"A cordon count program to monitor pedestrian and bicycle exposure in an urban activity area: case study of a university campus in a winter city","year":2025,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Manitoba; Department of Transportation, Infrastructure and Energy; Nordion (Canada)","funders":"","keywords":"Pedestrian; Transport engineering; Count data; Geography; Environmental science; Engineering; Civil engineering; Meteorology; Statistics; Mathematics","score_opus":0.01488575002432794,"score_gpt":0.25888091532725277,"score_spread":0.24399516530292484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407470550","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99918056,0.00006667942,0.000089694484,0.00008949753,0.00013217129,0.0003125568,0.00000531834,0.0000063277716,0.000117171374],"genre_scores_gemma":[0.9999179,0.0000014431685,0.000026621132,0.0000041493404,0.00002509806,0.0000014454545,1.4251852e-7,0.0000036118963,0.000019560031],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99931085,0.00007128804,0.00018900237,0.00011769219,0.00009951988,0.00021164825],"domain_scores_gemma":[0.9993875,0.00004417805,0.000060996008,0.00008582507,0.000079659345,0.00034182376],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050990627,0.000079555204,0.00021033357,0.0004718157,0.00007259966,0.000039502847,0.00014504947,0.000057025736,0.000010365234],"category_scores_gemma":[0.000081327526,0.000087730776,0.000027804042,0.0005902829,0.000043159576,0.00029811126,0.0000075170033,0.00021293343,2.2572452e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039887556,0.00012643398,0.9823712,0.000020573605,0.000011215553,0.0016707507,0.013665328,0.00048118367,0.000025791878,0.0000040082014,0.0000075617754,0.0015760692],"study_design_scores_gemma":[0.0006793362,0.00026313492,0.9813415,0.00012988811,0.00001764456,0.0000072382327,0.016905358,0.00028901148,0.000009303818,0.0000050973185,0.00026326388,0.00008926409],"about_ca_topic_score_codex":0.16250962,"about_ca_topic_score_gemma":0.9861588,"teacher_disagreement_score":0.82364917,"about_ca_system_score_codex":0.0003651099,"about_ca_system_score_gemma":0.0005378889,"threshold_uncertainty_score":0.8430673},"labels":[],"label_agreement":null},{"id":"W4407665380","doi":"10.3390/su17041631","title":"Identifying the Impact of Public Amenities on Urban Growth: A Case Study of the Quebec Metropolitan Region, Canada (1986–2022)","year":2025,"lang":"en","type":"article","venue":"Sustainability","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"","keywords":"Metropolitan area; Regional science; Economic geography; Geography; Public transport; Environmental planning; Transport engineering; Engineering; Archaeology","score_opus":0.029599897893423634,"score_gpt":0.3397643795350343,"score_spread":0.31016448164161065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407665380","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99411106,0.00014201376,0.000012135547,0.0025168955,0.00020862854,0.0012097685,0.00001639306,0.000021577715,0.001761545],"genre_scores_gemma":[0.9983795,0.0000015676056,6.5041087e-7,0.000037989576,0.00003700149,0.00003668113,9.568265e-7,0.0000057807692,0.0014998318],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99657923,0.0015761036,0.00051059783,0.00032160553,0.00058151985,0.00043092898],"domain_scores_gemma":[0.9967362,0.0006218508,0.00025526344,0.0008702106,0.0014333362,0.000083115214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020148184,0.0001620242,0.0003082982,0.00009930954,0.001190251,0.0000785649,0.0007670831,0.00006328664,0.00003616722],"category_scores_gemma":[0.002772629,0.00009281172,0.00023262495,0.0015364346,0.0012461694,0.00024090549,0.0001060869,0.00031065053,4.5057313e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.000027250486,0.00041966836,0.9545839,0.00010542447,0.00008186688,0.000041731273,0.026642276,0.0000029028308,8.8776835e-7,0.016634213,0.0011244332,0.00033547403],"study_design_scores_gemma":[0.0001613608,0.000050278282,0.54315805,0.000008308538,0.000039647777,5.388823e-7,0.44235852,0.0000020313166,0.000023162338,0.014047971,0.00008655994,0.0000635796],"about_ca_topic_score_codex":0.9986494,"about_ca_topic_score_gemma":0.9976699,"teacher_disagreement_score":0.41571626,"about_ca_system_score_codex":0.0054882057,"about_ca_system_score_gemma":0.008766617,"threshold_uncertainty_score":0.9983295},"labels":[],"label_agreement":null},{"id":"W4407678019","doi":"10.2139/ssrn.5117085","title":"Enhancing Health Services Accessibility in Congested Urban Areas with an Equity Focus: A Case Study in Cali Leveraging People-Centered Approaches and Open Data to Support Public Policy and Engagement","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Equity (law); Open data; Business; Focus (optics); Public economics; Public relations; Political science; Economics","score_opus":0.19115292490833521,"score_gpt":0.42751909751427847,"score_spread":0.23636617260594325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407678019","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9923059,0.0008289724,0.00034710293,0.0022864474,0.00006951455,0.0037948329,0.00008932672,0.000035856367,0.00024206897],"genre_scores_gemma":[0.99889696,0.00035369772,0.00015775477,0.00016275707,0.00014822853,0.000103942184,0.00009165218,0.00002090278,0.00006410909],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99201363,0.0021417968,0.0010694194,0.0016042971,0.0006038933,0.0025669432],"domain_scores_gemma":[0.9976636,0.00013727769,0.00056139444,0.000985353,0.00012414836,0.0005282231],"candidate_categories":["metaepi_narrow","scholarly_communication","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.025385328,0.000436018,0.0009686826,0.0005994731,0.0009480482,0.0019205244,0.0026855867,0.00017620897,0.000012404252],"category_scores_gemma":[0.00014292574,0.0003925413,0.000035673354,0.00081334426,0.00012692797,0.0019945106,0.004274295,0.0032260865,1.2618231e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018945646,0.00088573963,0.89542234,0.00027258458,0.000113552196,0.00009099707,0.0786779,0.0000050543517,4.1211638e-7,0.00040429717,9.798724e-7,0.023936655],"study_design_scores_gemma":[0.0029789652,0.0007470588,0.65475804,0.0004886401,0.00008755592,0.00008277973,0.3322179,0.00021425374,0.0000011377908,0.0077950307,0.000044986624,0.00058366026],"about_ca_topic_score_codex":0.3339421,"about_ca_topic_score_gemma":0.9887871,"teacher_disagreement_score":0.654845,"about_ca_system_score_codex":0.003569515,"about_ca_system_score_gemma":0.028377164,"threshold_uncertainty_score":0.99985266},"labels":[],"label_agreement":null},{"id":"W4407779117","doi":"10.1016/j.jth.2025.102004","title":"Exploring travel behaviour using a gamified web-based application “Catch the Bus©”","year":2025,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Department of Psychiatry, University of Toronto; Schulich School of Medicine and Dentistry, Western University","keywords":"Computer science; Web application; Human–computer interaction; World Wide Web","score_opus":0.11502815185053095,"score_gpt":0.36968856429013314,"score_spread":0.2546604124396022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407779117","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95795757,0.00051888975,0.02960118,0.010521189,0.0005043059,0.00039576093,0.00001016537,0.000026607473,0.0004643354],"genre_scores_gemma":[0.9978799,0.00025457595,0.0008305771,0.0007085521,0.00023405829,0.000012502661,0.000004148201,0.000010487875,0.00006517557],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99787825,0.00014436552,0.0008786291,0.00018460238,0.0005456649,0.00036848395],"domain_scores_gemma":[0.99879414,0.00008047498,0.0005058842,0.00021911503,0.00021699507,0.00018337682],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027552138,0.00012957436,0.00035145308,0.00015444295,0.00072371267,0.000033323067,0.00045785867,0.000072466304,0.00003021608],"category_scores_gemma":[0.000014316634,0.000097745215,0.00023680774,0.00067555223,0.00016742945,0.0003892149,0.0000025664542,0.0004226472,8.7152705e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016796973,0.0003750187,0.97732,0.00015596316,0.000036789046,0.0000122121155,0.007978396,0.00029950414,0.00056088343,0.0012983296,0.00011034366,0.011684592],"study_design_scores_gemma":[0.00078726065,0.000051211144,0.9891271,0.00019659374,0.00010777781,9.049562e-7,0.0033780825,0.00017909307,0.00025723246,0.0003734776,0.0054215007,0.00011976011],"about_ca_topic_score_codex":0.005814669,"about_ca_topic_score_gemma":0.0064678537,"teacher_disagreement_score":0.039922357,"about_ca_system_score_codex":0.00029676492,"about_ca_system_score_gemma":0.0029297944,"threshold_uncertainty_score":0.87900794},"labels":[],"label_agreement":null},{"id":"W4407864200","doi":"10.1080/08920753.2025.2469292","title":"Economic Burden and Costs of Drowning in Costa Rica","year":2025,"lang":"en","type":"article","venue":"Coastal Management","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor; University of Waterloo","funders":"","keywords":"Natural resource economics; Business; Economics","score_opus":0.009312127899298339,"score_gpt":0.2811740093970895,"score_spread":0.2718618814977911,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407864200","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77537227,0.00012050145,0.00017184975,0.0006166658,0.00009673279,0.00020671156,0.000004622227,0.00001367152,0.22339694],"genre_scores_gemma":[0.9980901,0.000101367594,0.000090760295,0.000028167793,0.000017916906,0.0000071011364,0.0000024682756,0.0000018115485,0.0016602894],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99949944,0.00002605466,0.00014368889,0.00014300502,0.00006516427,0.00012265802],"domain_scores_gemma":[0.99981964,0.000027329525,0.000032165335,0.00008849641,0.000008001703,0.000024389921],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027727135,0.000044430904,0.00009263395,0.000083110965,0.00006491869,0.000025497417,0.00012239307,0.000021183248,0.00005480438],"category_scores_gemma":[0.0000061165388,0.000047471145,0.000017736515,0.00012357543,0.000121870675,0.000091249894,0.00008365844,0.00003479293,0.000002904567],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025595866,0.00002981802,0.7787245,0.00006595303,0.000024837422,0.000007307745,0.0016309423,0.00003396453,0.000015938293,0.081602976,0.00043860008,0.13739955],"study_design_scores_gemma":[0.0006568747,0.00001598819,0.9445428,0.00015358027,0.000026751546,1.3164668e-8,0.007290843,0.0001285988,0.000050876828,0.0061655156,0.040847827,0.00012031418],"about_ca_topic_score_codex":0.005070475,"about_ca_topic_score_gemma":0.017371183,"teacher_disagreement_score":0.22271782,"about_ca_system_score_codex":0.000071192175,"about_ca_system_score_gemma":0.000025147563,"threshold_uncertainty_score":0.9693528},"labels":[],"label_agreement":null},{"id":"W4407910017","doi":"10.1080/15389588.2025.2462685","title":"Assessing bicycle helmet protection for head and neck in E-scooter falls","year":2025,"lang":"en","type":"article","venue":"Traffic Injury Prevention","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Centres Intégré Universitaires de Santé et de Services Sociaux","funders":"","keywords":"Poison control; Injury prevention; Occupational safety and health; Human factors and ergonomics; Head and neck; Aeronautics; Engineering; Physical medicine and rehabilitation; Suicide prevention; Head (geology); Medicine; Medical emergency; Forensic engineering; Transport engineering; Surgery","score_opus":0.038702522280948455,"score_gpt":0.3838279946807057,"score_spread":0.34512547239975727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407910017","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9917245,0.000070784925,0.005182925,0.00043683863,0.0002434243,0.0009799465,0.0000030484618,0.000073945535,0.0012845838],"genre_scores_gemma":[0.9974479,0.000007872791,0.0007567896,0.000036279664,0.00006723214,0.00010096967,0.00000933007,0.0000049510336,0.0015686956],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99912465,0.00011072698,0.00022795494,0.00023870704,0.00010371534,0.00019422761],"domain_scores_gemma":[0.99976593,0.000026564583,0.000059668524,0.000082820094,0.00003670481,0.000028325612],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082463695,0.00007492913,0.000122035926,0.000120952536,0.00026610313,0.00013368021,0.000074911804,0.0001114529,0.000024445451],"category_scores_gemma":[0.000046011784,0.0000776234,0.000057010864,0.0003204333,0.00007073865,0.0006525687,0.000008542488,0.00009853524,0.0000014944374],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025351404,0.00050797,0.06269834,0.00030490398,0.000024315606,7.6054425e-7,0.0032379837,0.000058657715,0.0021796827,0.0018997865,0.00015589445,0.9286782],"study_design_scores_gemma":[0.0015756768,0.00017978648,0.97099143,0.0005419038,0.000061470084,1.0581645e-7,0.001826949,0.0013739525,0.0012891836,0.013687329,0.008168299,0.00030391163],"about_ca_topic_score_codex":0.00028568448,"about_ca_topic_score_gemma":0.0042337193,"teacher_disagreement_score":0.9283743,"about_ca_system_score_codex":0.00007815297,"about_ca_system_score_gemma":0.00010638514,"threshold_uncertainty_score":0.31653902},"labels":[],"label_agreement":null},{"id":"W4407921266","doi":"10.1177/00420980251316773","title":"Docklessness, aesthetic governance, and the urban ‘micromobility mess’","year":2025,"lang":"en","type":"article","venue":"Urban Studies","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia; Western University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Cityscape; Gentrification; Equity (law); Corporate governance; Psychological intervention; Internet privacy; Visual culture; Sociology; Business; Political science; Law; Economic growth; Visual arts; Computer science; Medicine; Art","score_opus":0.016349134857748842,"score_gpt":0.30914510632422754,"score_spread":0.2927959714664787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407921266","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.850247,0.07814497,0.000020524927,0.010712422,0.0007330335,0.0006519225,0.000014994644,0.00013595319,0.059339143],"genre_scores_gemma":[0.9873873,0.002050099,0.00002272218,0.0004217274,0.00010509609,0.00006064822,0.0000010262506,0.0000054659845,0.009945893],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998568,0.0002167351,0.0002829162,0.00036427638,0.00025252966,0.00031554844],"domain_scores_gemma":[0.9990954,0.00029277062,0.00009943022,0.00032719778,0.00014128558,0.000043958742],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001113292,0.00016163579,0.0003874306,0.000022776905,0.0012112913,0.00008835036,0.00031348856,0.00006618383,0.00003157459],"category_scores_gemma":[0.00021822286,0.00010234548,0.00010502853,0.00039340387,0.003229135,0.00017725489,0.0001118171,0.00016215752,0.0000071385293],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009613282,0.0000795931,0.76573575,0.0000793926,0.00011323854,0.0000035039047,0.025233699,2.5049923e-7,0.0000033387475,0.165552,0.034751266,0.008351829],"study_design_scores_gemma":[0.0017970693,0.000022601247,0.48123282,0.00013769869,0.00022266536,2.803543e-7,0.014269178,0.0000049798396,0.00006282429,0.060109407,0.4418118,0.00032869578],"about_ca_topic_score_codex":0.0012640062,"about_ca_topic_score_gemma":0.0053757103,"teacher_disagreement_score":0.40706053,"about_ca_system_score_codex":0.00008954173,"about_ca_system_score_gemma":0.000115801915,"threshold_uncertainty_score":0.9994835},"labels":[],"label_agreement":null},{"id":"W4408103098","doi":"10.1016/j.jtrangeo.2025.104171","title":"Gender differences in urban recreational running: A data-driven approach","year":2025,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal; McGill University","funders":"","keywords":"Recreation; Poison control; Transport engineering; Injury prevention; Human factors and ergonomics; Geography; Engineering; Environmental health; Medicine; Biology; Ecology","score_opus":0.0566636320808653,"score_gpt":0.31103827323161887,"score_spread":0.2543746411507536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408103098","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.971992,0.0013977957,0.0029007937,0.00045558822,0.0003585425,0.00019037644,0.000034768436,0.000023173998,0.022646964],"genre_scores_gemma":[0.9965728,0.00025979656,0.0027084108,0.000089708636,0.00018603589,0.000003798065,0.00005109811,0.00000559998,0.00012278192],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980013,0.00008505978,0.00072577567,0.00028062472,0.0006112203,0.00029602542],"domain_scores_gemma":[0.99909985,0.000068355104,0.0002636429,0.0002724911,0.00016848023,0.00012720241],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012601528,0.00014180648,0.0003892692,0.0006073861,0.000211469,0.000048142665,0.0010220654,0.00013272458,0.00013060663],"category_scores_gemma":[0.000022099803,0.00011929517,0.0002443458,0.0011204195,0.00033267724,0.0006793613,0.000013131713,0.0003790264,5.2469096e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007927808,0.0003180555,0.99484646,0.00003360105,0.00010384233,0.000017943185,0.0025041644,0.000026220834,0.0000049628466,0.001211386,0.00036369683,0.00049039413],"study_design_scores_gemma":[0.00051905774,0.000019445708,0.9897517,0.00007929737,0.000104292616,5.175329e-7,0.0010742215,0.0000518868,0.0000024824817,0.002024413,0.0062545394,0.000118120806],"about_ca_topic_score_codex":0.00066311995,"about_ca_topic_score_gemma":0.0009075486,"teacher_disagreement_score":0.024580773,"about_ca_system_score_codex":0.0000327552,"about_ca_system_score_gemma":0.0004993718,"threshold_uncertainty_score":0.48647156},"labels":[],"label_agreement":null},{"id":"W4408107965","doi":"10.1016/j.jth.2025.102009","title":"Health and equity considerations in policy and practice related to sustainable transportation interventions in four Canadian cities","year":2025,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University; Ouranos; University of British Columbia; Simon Fraser University; Université de Montréal; University of Saskatchewan","funders":"Canadian Institutes of Health Research","keywords":"Psychological intervention; Equity (law); Health equity; Business; Public economics; Economic growth; Environmental planning; Political science; Economics; Health care; Geography; Medicine; Nursing","score_opus":0.054473636204418904,"score_gpt":0.4301796697084861,"score_spread":0.37570603350406717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408107965","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76074797,0.0033090771,0.00022790514,0.23218414,0.00013237835,0.0006348229,0.000028452194,0.000010608567,0.0027246359],"genre_scores_gemma":[0.99422914,0.0013037445,0.000593638,0.0033935604,0.00002404236,0.0000058178002,0.000007753804,0.0000052882297,0.0004370006],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99771875,0.00030492977,0.0011160984,0.00016704664,0.0002141881,0.00047897367],"domain_scores_gemma":[0.9985952,0.000244864,0.00029378178,0.000073303105,0.00021611697,0.00057674816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004353587,0.00009621069,0.00037770486,0.00096521364,0.0004540799,0.00005274159,0.0000865051,0.000080959544,0.000026447977],"category_scores_gemma":[0.000585257,0.00010277675,0.000064591026,0.0008782658,0.00012342726,0.0007413226,0.0000026578036,0.00035065642,1.3978158e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008659663,0.00012051786,0.85814357,0.0005547545,0.000020958176,0.00011979845,0.066557124,0.00006479309,0.0000010827079,0.07092121,0.00032455393,0.0030850174],"study_design_scores_gemma":[0.0006427066,0.00016383865,0.95438933,0.000567893,0.000013555928,0.0000049701416,0.025107307,0.0000015769615,3.481913e-7,0.013165754,0.0058663446,0.000076367905],"about_ca_topic_score_codex":0.6882171,"about_ca_topic_score_gemma":0.97273993,"teacher_disagreement_score":0.28452283,"about_ca_system_score_codex":0.0009957902,"about_ca_system_score_gemma":0.012226965,"threshold_uncertainty_score":0.9933728},"labels":[],"label_agreement":null},{"id":"W4408140784","doi":"10.1016/j.trd.2025.104650","title":"Analyzing disparities in app-hailed travel during extreme heat in New York City","year":2025,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Association of Collegiate Schools of Planning; York University; Carnegie Mellon University; U.S. Department of Transportation","keywords":"Extreme heat; Oceanography; Geology; Climate change","score_opus":0.08447740917459916,"score_gpt":0.3309801561240048,"score_spread":0.2465027469494056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408140784","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99356383,0.0012094085,0.0005625919,0.0016944605,0.00006855471,0.00075455266,0.000030357663,0.000042018008,0.0020741993],"genre_scores_gemma":[0.9937492,0.0020671727,0.00010943879,0.000026203055,0.000054532553,0.000091498,0.00010389007,0.000013859424,0.0037841874],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969315,0.00015567706,0.00072109577,0.00066036405,0.00070330634,0.0008280433],"domain_scores_gemma":[0.9993313,0.00010685895,0.000034966994,0.00023847939,0.00001858787,0.00026979845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014988533,0.00022114142,0.00039603224,0.00046587,0.0004525457,0.000047794063,0.00025677608,0.00019011903,0.0006946841],"category_scores_gemma":[0.0000085612555,0.00023703868,0.000101859405,0.0008417496,0.00057497487,0.0003774516,0.0000042162856,0.0005636071,0.0000051566362],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019068169,0.00021708086,0.9902545,0.00011849693,0.000017103228,0.000049521437,0.0064090695,0.00026900714,0.0002681905,0.0013762979,0.000029181028,0.0008008431],"study_design_scores_gemma":[0.0013290349,0.00001774556,0.9915424,0.0001736536,0.00002039497,2.8633323e-8,0.002054298,0.000020646388,0.00026160508,0.0016646526,0.0027008767,0.00021466585],"about_ca_topic_score_codex":0.046173204,"about_ca_topic_score_gemma":0.24376582,"teacher_disagreement_score":0.19759262,"about_ca_system_score_codex":0.00022506498,"about_ca_system_score_gemma":0.00026614033,"threshold_uncertainty_score":0.9666157},"labels":[],"label_agreement":null},{"id":"W4408160206","doi":"10.1007/s11067-025-09677-z","title":"Ten Years of School Closures and Consolidations in Hamilton, Canada and the Impact on Multimodal Accessibility","year":2025,"lang":"en","type":"article","venue":"Networks and Spatial Economics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"The Scarborough Hospital; University of Toronto; McMaster University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Engineering; Economics; Aeronautics","score_opus":0.00847110990320326,"score_gpt":0.2720508562044468,"score_spread":0.26357974630124353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408160206","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997713,0.0002734471,0.000060936585,0.0003161656,0.00008997533,0.00021590154,0.000022739872,0.0000035590697,0.0013042727],"genre_scores_gemma":[0.9992607,0.00050883845,0.000010580532,0.00012755304,0.00005117857,0.0000050861713,0.000004319416,0.0000022035003,0.000029512712],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99938786,0.00007143836,0.00021726175,0.00016484038,0.000032649852,0.00012595687],"domain_scores_gemma":[0.9994439,0.0003050313,0.000068809604,0.00010333328,0.000019050301,0.000059905844],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045268142,0.000065942106,0.00019063798,0.000024972129,0.00014059854,0.00006276104,0.000086606255,0.000066144494,0.000016485188],"category_scores_gemma":[0.000057003097,0.000049801565,0.000022071259,0.000063373904,0.00042106258,0.000086540495,0.000020784688,0.00011691703,3.3250252e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000117461765,0.000013402396,0.9835728,0.0000042609154,0.00001332952,2.638311e-7,0.0004135917,0.0018027783,1.4180186e-7,0.0009439632,0.000051496096,0.013066552],"study_design_scores_gemma":[0.0006566356,0.000008609394,0.9773134,0.000011380642,0.000008758853,2.5706498e-8,0.00016584985,0.020071205,0.0000013898946,0.0015563845,0.00015702566,0.000049354698],"about_ca_topic_score_codex":0.90761757,"about_ca_topic_score_gemma":0.97960883,"teacher_disagreement_score":0.07199122,"about_ca_system_score_codex":0.000060932936,"about_ca_system_score_gemma":0.0003612727,"threshold_uncertainty_score":0.20308489},"labels":[],"label_agreement":null},{"id":"W4408174456","doi":"10.1016/j.jum.2025.02.009","title":"Synergizing urban and mobility governance: Insights from Dubai and Lahore","year":2025,"lang":"en","type":"article","venue":"Journal of Urban Management","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Transportation of Ontario","funders":"","keywords":"Corporate governance; Geography; Business; Traditional medicine; Medicine; Finance","score_opus":0.00827965264749045,"score_gpt":0.25926367153401897,"score_spread":0.2509840188865285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408174456","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9651233,0.008710218,0.00018521327,0.0015580473,0.00045044319,0.00018359792,0.0000048044826,0.000015825806,0.023768567],"genre_scores_gemma":[0.99640495,0.0009006514,0.00036611332,0.00025240897,0.0002241276,0.000002295131,0.0000010833181,0.000004455927,0.0018439457],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987766,0.000083744824,0.00039708024,0.00021739553,0.00035614325,0.00016901232],"domain_scores_gemma":[0.9993023,0.00008400519,0.00023764644,0.0001566988,0.000078937825,0.00014035466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048260097,0.000112793765,0.0002450828,0.00007362184,0.00027292393,0.00013915819,0.00023236753,0.00006276073,0.00005403473],"category_scores_gemma":[0.000058047386,0.0000947782,0.00007032289,0.00022511516,0.00022334664,0.000405711,0.000076842436,0.00017650034,9.042602e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012249128,0.00025898963,0.8972458,0.00014426796,0.00029140612,0.00010590275,0.006177173,0.000007270753,0.00006421057,0.0536032,0.02704529,0.014933981],"study_design_scores_gemma":[0.0006231185,0.00003150131,0.8440063,0.00020133622,0.00015421803,1.3694718e-7,0.0023138039,0.000027661456,0.000037059897,0.012790338,0.13969196,0.00012255217],"about_ca_topic_score_codex":0.0005316478,"about_ca_topic_score_gemma":0.00054604164,"teacher_disagreement_score":0.11264667,"about_ca_system_score_codex":0.000114500566,"about_ca_system_score_gemma":0.00006462283,"threshold_uncertainty_score":0.3864943},"labels":[],"label_agreement":null},{"id":"W4408237539","doi":"10.1016/j.tbs.2025.101019","title":"Understanding the impact of COVID-19 on travel mode choices and predicting the modal shift after the pandemic","year":2025,"lang":"en","type":"article","venue":"Travel Behaviour and Society","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Université de Montréal; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Modal; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Modal shift; Mode (computer interface); Psychology; Medicine; Transport engineering; Computer science; Engineering; Virology; Chemistry; Public transport","score_opus":0.07845551062543496,"score_gpt":0.37054028386110566,"score_spread":0.2920847732356707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408237539","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9938784,0.00032506787,0.002221154,0.0017947438,0.000063955325,0.00039691635,0.000075457625,0.0000238348,0.0012204332],"genre_scores_gemma":[0.99910724,0.00022734285,0.000006640142,0.00035102066,0.00006283025,0.000022153217,0.0000026830178,0.000006055073,0.00021404678],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988546,0.00015553154,0.00021605636,0.00023660598,0.00026610057,0.00027115585],"domain_scores_gemma":[0.99907833,0.0005316528,0.00008593718,0.00019301508,0.000021001932,0.000090044436],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001315607,0.00014285231,0.00017334009,0.000014305509,0.0015359594,0.00012869175,0.00027820427,0.00013065906,0.00003188764],"category_scores_gemma":[0.000036327667,0.00006608689,0.00022663116,0.00019758192,0.0011874533,0.00012147787,0.000030290434,0.00034699115,1.13799615e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033667035,0.00003161897,0.89145344,0.000015878379,0.000044221506,2.8067294e-7,0.1063723,0.00002262925,0.000020067817,0.0018169562,0.00009415459,0.000094791925],"study_design_scores_gemma":[0.0003133003,0.000022501432,0.93464786,0.00001999183,0.00010843019,2.4307369e-7,0.05830337,0.0004332571,0.000007404774,0.0060612964,0.000007146298,0.000075228425],"about_ca_topic_score_codex":0.010900805,"about_ca_topic_score_gemma":0.0032538443,"teacher_disagreement_score":0.048068926,"about_ca_system_score_codex":0.0001516449,"about_ca_system_score_gemma":0.00029111197,"threshold_uncertainty_score":0.9997639},"labels":[],"label_agreement":null},{"id":"W4408249283","doi":"10.33612/diss.1241354787","title":"Keeping the balance","year":2025,"lang":"en","type":"dissertation","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Gerontology; Active ageing; Population ageing; Balance (ability); Older people; Pedometer; Quarter (Canadian coin); Psychology; Population; Geography; Medicine; Physical activity; Physical medicine and rehabilitation; Environmental health","score_opus":0.019379282207026432,"score_gpt":0.3311795941492816,"score_spread":0.31180031194225516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408249283","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06402348,0.00047374057,0.000023335815,0.0007377238,0.0010797239,0.0001765378,0.0000026400078,0.000069477814,0.9334133],"genre_scores_gemma":[0.5664639,0.00007921523,0.000021431764,0.0003257675,0.00017990348,0.000012881315,0.00008510789,0.0000028651568,0.43282896],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99935657,0.00003949857,0.000118624426,0.0001527725,0.0001942427,0.00013828471],"domain_scores_gemma":[0.9996539,0.00007397781,0.00005163061,0.00014379749,0.00006048453,0.000016250235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002817502,0.000066608525,0.000095797994,0.000019392011,0.0005021628,0.00007054504,0.00035556016,0.00012752108,0.0008409456],"category_scores_gemma":[0.000055767694,0.000044329947,0.00007207808,0.00019257989,0.000040203937,0.00006647476,0.0000031165298,0.00015596209,0.000020203455],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010915905,0.00018623208,0.3412519,0.00074490334,0.0002049502,0.000009956137,0.09310965,0.000003213211,0.00007825988,0.29835585,0.11203036,0.15391555],"study_design_scores_gemma":[0.00010353562,0.0000041384474,0.3409287,0.00019597496,0.0000815373,6.171192e-9,0.020029172,0.00001254289,0.00019137855,0.013164753,0.624979,0.0003092522],"about_ca_topic_score_codex":0.0053007635,"about_ca_topic_score_gemma":0.10845986,"teacher_disagreement_score":0.51294863,"about_ca_system_score_codex":0.000026469608,"about_ca_system_score_gemma":0.00030691831,"threshold_uncertainty_score":0.9207764},"labels":[],"label_agreement":null},{"id":"W4408319815","doi":"10.1016/j.compenvurbsys.2025.102271","title":"Quantify relationships between bike network connectivity and bike safety: A comparative analysis of connectivity metrics conducted in two California cities","year":2025,"lang":"en","type":"article","venue":"Computers Environment and Urban Systems","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Geography; Transport engineering; Cartography; Engineering","score_opus":0.061180531267359915,"score_gpt":0.3058593965567109,"score_spread":0.24467886528935098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408319815","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97887504,0.0024302255,0.017099854,0.0001239656,0.00019795363,0.00054284214,0.00012997093,0.000032338106,0.00056779897],"genre_scores_gemma":[0.99948144,0.00011406555,0.00012981649,0.000011460721,0.00006989851,0.000012985882,0.00005575488,0.0000044804133,0.0001200838],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974737,0.0009566833,0.00057574897,0.00044992397,0.0002632925,0.00028066066],"domain_scores_gemma":[0.99753743,0.0018428107,0.00026535505,0.00021590583,0.000029487643,0.000109004686],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001821206,0.00019119398,0.0008700211,0.00046669928,0.00045862354,0.000081363905,0.00014980086,0.000121553756,0.000010330325],"category_scores_gemma":[0.00004354026,0.00018758039,0.00009340204,0.0015630092,0.0006435997,0.00019237916,0.000070607064,0.00023331484,9.0986464e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002789576,0.000049256323,0.987371,0.000042770953,0.00042961346,0.0000011758171,0.0036344782,0.0017925667,0.000008721055,0.0063499194,0.00012514328,0.00016741008],"study_design_scores_gemma":[0.0005928418,0.000022646529,0.98533535,0.000069873924,0.00044926887,5.2490424e-8,0.0023176789,0.008606886,0.000006783974,0.0003451404,0.0020675622,0.00018588739],"about_ca_topic_score_codex":0.00430337,"about_ca_topic_score_gemma":0.0027306941,"teacher_disagreement_score":0.020606402,"about_ca_system_score_codex":0.0001596873,"about_ca_system_score_gemma":0.000051098094,"threshold_uncertainty_score":0.7649306},"labels":[],"label_agreement":null},{"id":"W4408362744","doi":"10.21203/rs.3.rs-6186053/v1","title":"The TARA framework for developing SDG indicator data: applications in Human Footprint Mapping in Peruand Ecuador","year":2025,"lang":"en","type":"preprint","venue":"Research Square","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia","funders":"Nuclear Safety and Security Commission; University of Northern British Columbia; National Aeronautics and Space Administration","keywords":"Footprint; Geography; Cartography; Archaeology","score_opus":0.20742929838972804,"score_gpt":0.5034477542038995,"score_spread":0.2960184558141715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408362744","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9596403,0.0030978972,0.014346521,0.0078778695,0.00029385774,0.010591799,0.00056831486,0.00011722696,0.0034661917],"genre_scores_gemma":[0.9922971,0.00040803157,0.003496166,0.000020093716,0.00034842882,0.0027191215,0.00034194492,0.000015706859,0.00035340653],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9960625,0.00056571723,0.000604185,0.0010020634,0.0008631226,0.00090236997],"domain_scores_gemma":[0.9958749,0.002224095,0.00013669173,0.0013836852,0.00026643174,0.00011422546],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.008301844,0.00019236564,0.00033893905,0.00049741514,0.0019260471,0.00045467092,0.003163728,0.0005202979,0.00001925403],"category_scores_gemma":[0.0012973624,0.00016351596,0.00009423123,0.0012382803,0.00060924375,0.0000876914,0.0014692696,0.0021771747,0.0000035250985],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021368514,0.00015801284,0.89905083,0.0013931376,0.000034219676,0.0000047430017,0.010137125,0.000020439882,0.0000052300916,0.076171555,0.00015951764,0.012843815],"study_design_scores_gemma":[0.00024882605,0.000010403322,0.67353225,0.0017854131,0.00000741141,1.4287538e-8,0.017865755,0.000072908486,0.000053002765,0.25891608,0.04718052,0.0003274091],"about_ca_topic_score_codex":0.007984352,"about_ca_topic_score_gemma":0.0548217,"teacher_disagreement_score":0.22551858,"about_ca_system_score_codex":0.00080565305,"about_ca_system_score_gemma":0.0026823268,"threshold_uncertainty_score":0.9993733},"labels":[],"label_agreement":null},{"id":"W4408386867","doi":"10.1016/j.trip.2025.101381","title":"Examining the influence of personal-time-based accessibility on the frequency of public transit use among older adults across Canada","year":2025,"lang":"en","type":"article","venue":"Transportation Research Interdisciplinary Perspectives","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"National Research Council Canada; Fonds de Recherche du Québec-Société et Culture; National Research Council","keywords":"Public transport; Transit (satellite); Gerontology; Psychology; Business; Medicine; Transport engineering; Engineering","score_opus":0.0622704336733353,"score_gpt":0.3893758277243806,"score_spread":0.32710539405104533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408386867","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99124503,0.00011088901,0.00009847109,0.006161985,0.000053801887,0.0010317641,0.0002549739,0.0000305619,0.0010125327],"genre_scores_gemma":[0.99947196,0.000010049032,0.000021764256,0.000039122307,0.000024615374,0.000106475556,0.000020253274,0.000011517143,0.00029424802],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99589676,0.00095774926,0.0006218776,0.0005882585,0.0013587492,0.00057662814],"domain_scores_gemma":[0.9953276,0.0023234717,0.00020663904,0.00053443527,0.001489056,0.00011881668],"candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0034850603,0.0001943676,0.0003041407,0.00012275462,0.0015092535,0.00011875948,0.0011044822,0.00011245388,0.00041106268],"category_scores_gemma":[0.00047545473,0.00012605591,0.00016483931,0.0016135811,0.003635491,0.0007714001,0.000029811004,0.00064022915,9.940615e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023467791,0.00032829825,0.8185638,0.00013616844,0.00007209362,0.000006470975,0.17790276,0.00015288056,0.00031618052,0.0017278808,0.00009540308,0.0004633715],"study_design_scores_gemma":[0.00029956552,0.0000615513,0.81282943,0.00033282125,0.000014228202,1.0944828e-8,0.18530834,0.00009240544,0.0004537015,0.00050619175,0.000007618879,0.00009416337],"about_ca_topic_score_codex":0.35776377,"about_ca_topic_score_gemma":0.88257796,"teacher_disagreement_score":0.5248141,"about_ca_system_score_codex":0.00035072677,"about_ca_system_score_gemma":0.0016239178,"threshold_uncertainty_score":0.99979067},"labels":[],"label_agreement":null},{"id":"W4408426348","doi":"10.1016/j.tra.2025.104429","title":"Impacts of point of interest (POI) data selection on 15-Minute City (15-MC) accessibility scores and inequality assessments","year":2025,"lang":"en","type":"article","venue":"Transportation Research Part A Policy and Practice","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Virginia Polytechnic Institute and State University","keywords":"Selection (genetic algorithm); Point of interest; Inequality; Point (geometry); Transport engineering; Statistics; Econometrics; Computer science; Economics; Mathematics; Engineering; Machine learning; Artificial intelligence","score_opus":0.3970205911856895,"score_gpt":0.5714688903195674,"score_spread":0.17444829913387788,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408426348","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98982453,0.00015983338,0.00035150372,0.004334555,0.000058625643,0.000592601,0.00037172763,0.00002607764,0.004280532],"genre_scores_gemma":[0.99852896,0.0006336049,0.00028529877,0.00016296063,0.00007900772,0.00001661635,0.00012560963,0.0000060949465,0.00016185055],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9963326,0.0014603465,0.00066389644,0.00053311925,0.0006385609,0.0003714835],"domain_scores_gemma":[0.99523854,0.0031552175,0.00033126792,0.00046766424,0.0006172392,0.00019006428],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009081106,0.00013847396,0.00030627332,0.00030958836,0.0004211412,0.00010625843,0.00039850664,0.0001481224,0.000112484784],"category_scores_gemma":[0.0048589734,0.00012820293,0.000040623316,0.0012434669,0.0008505965,0.0020157539,0.0000389217,0.00046826943,8.41055e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002111217,0.00075556507,0.9559375,0.0006683839,0.00011408412,0.0000031673358,0.005425933,0.000001917835,0.00079198123,0.027493447,0.00057041214,0.00612636],"study_design_scores_gemma":[0.0006453193,0.00021235377,0.98114353,0.00021927671,0.00007044803,1.3794605e-7,0.0022385595,0.000041368654,0.0016564791,0.009504806,0.0041534556,0.00011428054],"about_ca_topic_score_codex":0.0814819,"about_ca_topic_score_gemma":0.1078496,"teacher_disagreement_score":0.0263677,"about_ca_system_score_codex":0.00007567977,"about_ca_system_score_gemma":0.0011566071,"threshold_uncertainty_score":0.9246346},"labels":[],"label_agreement":null},{"id":"W4408464544","doi":"10.3389/fpubh.2025.1467227","title":"ENERGY expenditure of COmmuting to school (ENERGYCO): protocol for a cluster randomized controlled trial","year":2025,"lang":"en","type":"article","venue":"Frontiers in Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Randomized controlled trial; Cluster (spacecraft); Protocol (science); Energy expenditure; Cluster randomised controlled trial; Computer science; Medicine; Computer network; Alternative medicine; Surgery; Internal medicine","score_opus":0.030079134089241157,"score_gpt":0.37125466367642695,"score_spread":0.3411755295871858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408464544","genre_codex":"protocol","genre_gemma":"protocol","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"protocol","genre_consensus":"protocol","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0045488817,0.00013959712,0.26636297,0.046376128,0.0035374658,0.65146613,0.00002430349,0.00013657018,0.02740795],"genre_scores_gemma":[0.35862684,0.0000072109506,0.00894193,0.0041546575,0.0004584867,0.6246086,0.00001919905,0.00001538398,0.0031676881],"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","domain_scores_codex":[0.99553764,0.0017721009,0.0013385265,0.00034051255,0.0003563337,0.000654888],"domain_scores_gemma":[0.9981462,0.00064551376,0.00044140394,0.00028472644,0.00016894037,0.00031326685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010477763,0.00016304277,0.0016377597,0.00043747327,0.00036436727,0.00009718139,0.000514857,0.0001827474,0.00009455385],"category_scores_gemma":[0.0024138337,0.0001301376,0.00035803876,0.0006253562,0.00020989694,0.00024646393,0.000037255715,0.00016888141,2.4942617e-7],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.8557181,0.000480917,0.010268019,0.00016648343,0.00012363354,2.915363e-7,0.002900944,0.000012592127,4.6211875e-7,0.018764375,0.10142226,0.010141962],"study_design_scores_gemma":[0.79145813,0.00007990527,0.00013731844,0.000086547116,0.000009425878,8.392019e-9,0.0012634038,0.00043073596,0.0000030716137,0.005767286,0.20065786,0.00010632444],"about_ca_topic_score_codex":0.0039705555,"about_ca_topic_score_gemma":0.0031912809,"teacher_disagreement_score":0.35407797,"about_ca_system_score_codex":0.00039653105,"about_ca_system_score_gemma":0.0035042034,"threshold_uncertainty_score":0.62163067},"labels":[],"label_agreement":null},{"id":"W4408535299","doi":"10.1016/j.cstp.2025.101430","title":"The effects of urban form on public transportation demand in a developing city","year":2025,"lang":"en","type":"article","venue":"Case Studies on Transport Policy","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Public transport; Transport engineering; Business; Environmental planning; Geography; Engineering","score_opus":0.03149751856180804,"score_gpt":0.35314467173704717,"score_spread":0.3216471531752391,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408535299","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98826146,0.00081121223,0.00008017413,0.0041165487,0.00035448282,0.0006886334,0.000017621684,0.000055230237,0.005614624],"genre_scores_gemma":[0.99806374,0.00078813016,0.000016672586,0.0005057216,0.00009536776,0.00009835364,0.00000874578,0.000008862843,0.00041438558],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982169,0.00009500485,0.00059345143,0.0003260844,0.0003048921,0.0004636155],"domain_scores_gemma":[0.99866945,0.00072554685,0.00013937573,0.00024399963,0.00014704384,0.000074593365],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008337668,0.00020215366,0.00037357703,0.0002743669,0.00088585983,0.00002035835,0.00024049972,0.00010935735,0.0000029954135],"category_scores_gemma":[0.00034308486,0.00015060093,0.00015300354,0.0012612584,0.00060862734,0.00017605002,0.0000035382757,0.00020226483,0.0000011188315],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020769823,0.00026777276,0.5864594,0.00072448736,0.00022842508,0.0005527985,0.054639336,0.0000073007373,0.00001896505,0.34914616,0.000254194,0.0074934857],"study_design_scores_gemma":[0.0016887132,0.00018333571,0.9613724,0.00067936257,0.00011241406,9.753672e-7,0.008290347,0.0000025193583,0.002243399,0.012562912,0.012477161,0.0003864694],"about_ca_topic_score_codex":0.0024747741,"about_ca_topic_score_gemma":0.12400754,"teacher_disagreement_score":0.374913,"about_ca_system_score_codex":0.0002756215,"about_ca_system_score_gemma":0.0005588787,"threshold_uncertainty_score":0.8919771},"labels":[],"label_agreement":null},{"id":"W4408557669","doi":"10.1016/j.jag.2025.104421","title":"Using street view imagery and localized crowdsourcing survey to model perceived safety of the visual built environment by gender","year":2025,"lang":"en","type":"article","venue":"International Journal of Applied Earth Observation and Geoinformation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"University of Toronto Mississauga","keywords":"Crowdsourcing; Geography; Built environment; Cartography; Data science; Computer science; Civil engineering; Engineering; World Wide Web","score_opus":0.043936740508042,"score_gpt":0.3151284785852504,"score_spread":0.2711917380772084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408557669","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94210654,0.00004179984,0.056650173,0.00040038791,0.000095126794,0.00015757102,0.000021300684,0.000003602011,0.0005234686],"genre_scores_gemma":[0.99757326,0.00011072935,0.0016870132,0.0005352563,0.000022942588,0.0000010043404,0.000017582943,0.0000022678278,0.000049952785],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998881,0.00004251112,0.0005121865,0.00006983713,0.00041298557,0.00008148092],"domain_scores_gemma":[0.99930274,0.000062330655,0.00032301672,0.000050735485,0.0002143022,0.00004687452],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009167893,0.0000688727,0.00012697223,0.000078234276,0.00015862237,0.000070482594,0.00014491519,0.000046951067,0.000023684714],"category_scores_gemma":[0.000054454595,0.00005511271,0.000037729802,0.00011223872,0.00008289898,0.000481007,0.000036285153,0.00008509884,3.6855417e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010707518,0.00016107075,0.82098347,0.000109671906,0.00022485391,4.429938e-7,0.018308965,0.0897777,0.009846296,0.0042528836,0.0004247582,0.054839123],"study_design_scores_gemma":[0.0005927951,0.0000078605635,0.9566106,0.000049213002,0.000021362857,2.256656e-7,0.0008914945,0.038856167,0.0005147518,0.00069144205,0.0016921555,0.000071910166],"about_ca_topic_score_codex":0.0003644876,"about_ca_topic_score_gemma":0.00030578574,"teacher_disagreement_score":0.13562714,"about_ca_system_score_codex":0.00005256101,"about_ca_system_score_gemma":0.00011519496,"threshold_uncertainty_score":0.22474311},"labels":[],"label_agreement":null},{"id":"W4408626409","doi":"10.1080/01441647.2025.2474556","title":"E-bikes and travel behaviour change: systematic review of experimental studies with meta-analyses","year":2025,"lang":"en","type":"article","venue":"Transport Reviews","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Ministerio de Ciencia e Innovación; Generalitat de Catalunya","keywords":"Transport engineering; Meta-analysis; Public transport; Psychology; Engineering; Medicine","score_opus":0.3418418778155564,"score_gpt":0.48503746806054643,"score_spread":0.14319559024499,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408626409","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019116063,0.9761417,0.00006085472,0.0004555336,0.000047628728,0.0029576928,0.000016811631,0.000024281526,0.0011794646],"genre_scores_gemma":[0.6667062,0.33047292,0.00029449438,0.0006058901,0.000020973825,0.0008816408,0.000014143464,0.000008546912,0.0009951917],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.99777555,0.00029890612,0.0010597727,0.00033080974,0.00033811142,0.00019682969],"domain_scores_gemma":[0.99901456,0.000068602916,0.0003696301,0.00034746496,0.00012940538,0.0000703146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019502979,0.00024103916,0.0025733681,0.00006704545,0.00016664204,0.00001036483,0.00024554555,0.000047973914,0.00016474133],"category_scores_gemma":[0.00005359587,0.0001348398,0.00048788302,0.000494436,0.00039674836,0.00023756246,0.000006251739,0.000084677595,0.0000023994157],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000205166,0.0003304107,0.0670008,0.9133928,0.0032837042,0.000015144604,0.01385784,2.5631637e-8,0.00012533933,0.0015070069,0.00023539753,0.00023104994],"study_design_scores_gemma":[0.0012275154,0.0003459874,0.088815235,0.63454705,0.23622584,0.000003171349,0.024148643,6.47729e-7,0.0047107786,0.00026105272,0.008109316,0.0016047517],"about_ca_topic_score_codex":0.00068520004,"about_ca_topic_score_gemma":0.0016640077,"teacher_disagreement_score":0.6475901,"about_ca_system_score_codex":0.000029204566,"about_ca_system_score_gemma":0.00006356171,"threshold_uncertainty_score":0.5498607},"labels":[],"label_agreement":null},{"id":"W4408715357","doi":"10.1080/01441647.2025.2480292","title":"Effectiveness of interventions for modal shift to walking and bike riding: a systematic review with meta-analysis","year":2025,"lang":"en","type":"review","venue":"Transport Reviews","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"British Columbia Centre for Disease Control","keywords":"Meta-analysis; Psychological intervention; Modal; Physical medicine and rehabilitation; Modal shift; Poison control; Transport engineering; Psychology; Computer science; Engineering; Medicine; Medical emergency; Public transport","score_opus":0.16984350567300976,"score_gpt":0.447362154649033,"score_spread":0.27751864897602324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408715357","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000024421872,0.9677065,0.010834107,0.000037253314,0.000047789126,0.02081244,0.00031880534,0.0000371138,0.0002035197],"genre_scores_gemma":[0.00021713156,0.99140334,0.0006588387,0.000031649557,0.000016886563,0.0070538665,0.00020780509,0.000026922255,0.00038356203],"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","domain_scores_codex":[0.9936286,0.0018776167,0.002854348,0.0008614004,0.00041702137,0.00036098546],"domain_scores_gemma":[0.9962999,0.0011347915,0.0013616327,0.00082864764,0.00018403602,0.00019094769],"candidate_categories":["metaepi_narrow","metaepi_broad"],"consensus_categories":["metaepi_broad"],"category_scores_codex":[0.011273273,0.00061525323,0.016512027,0.00047184638,0.00022923254,0.00003811907,0.0007216523,0.00019203866,0.00013148833],"category_scores_gemma":[0.00031997787,0.00036578474,0.010829921,0.0030065002,0.00015130344,0.00016878116,0.000016611883,0.00021346382,0.00000327642],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005701856,0.00006323682,0.0000592004,0.96723986,0.026916515,0.0000017776586,0.00020542482,2.3905588e-7,7.593288e-9,0.0004730105,0.000005760316,0.0050292434],"study_design_scores_gemma":[0.00004033293,0.000026376027,0.00002617389,0.45032224,0.5013307,1.4209526e-7,0.0000066439443,4.210498e-8,7.051806e-8,0.000031124404,0.04799981,0.00021637625],"about_ca_topic_score_codex":0.0003547024,"about_ca_topic_score_gemma":0.0034028464,"teacher_disagreement_score":0.51691765,"about_ca_system_score_codex":0.00008533824,"about_ca_system_score_gemma":0.00033991705,"threshold_uncertainty_score":0.9998794},"labels":[],"label_agreement":null},{"id":"W4408729386","doi":"10.1016/j.jtrangeo.2025.104206","title":"Gender-specific impacts of road accessibility on rural development","year":2025,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Transport engineering; Poison control; Injury prevention; Occupational safety and health; Environmental planning; Business; Geography; Engineering; Environmental health; Political science; Medicine","score_opus":0.024206935964026774,"score_gpt":0.30694712138271374,"score_spread":0.28274018541868695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408729386","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9885296,0.0012901864,0.0004690768,0.00026661975,0.0006825411,0.00020370954,0.000011106163,0.000023690684,0.008523444],"genre_scores_gemma":[0.9987203,0.000339933,0.0006791176,0.00009062887,0.000110481815,0.0000022561323,0.000005684073,0.000007466915,0.000044145803],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99722457,0.000096653406,0.001229517,0.00020911104,0.0008560507,0.00038409582],"domain_scores_gemma":[0.9984573,0.00006867296,0.0005683763,0.00026081508,0.00042769944,0.00021711993],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018017712,0.00019543759,0.0005089846,0.0005703965,0.00029415754,0.000035352627,0.00067976536,0.00015370088,0.0002715245],"category_scores_gemma":[0.000021404554,0.00015892343,0.00060574687,0.0010731719,0.00038323723,0.0004621529,0.0000075371045,0.00035563286,0.0000015828497],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032755098,0.00047802192,0.9828702,0.00007949172,0.00014631118,0.000015336818,0.0030229655,0.0000074692593,0.00025750368,0.00030531624,0.00013805495,0.012351758],"study_design_scores_gemma":[0.00064522726,0.00006413364,0.9848542,0.00017572567,0.00006364629,3.1001602e-7,0.0009602429,1.9586363e-7,0.0019287324,0.0014792131,0.009687755,0.0001405765],"about_ca_topic_score_codex":0.00032070177,"about_ca_topic_score_gemma":0.0006257484,"teacher_disagreement_score":0.012211181,"about_ca_system_score_codex":0.00008320578,"about_ca_system_score_gemma":0.0007471824,"threshold_uncertainty_score":0.64807093},"labels":[],"label_agreement":null},{"id":"W4408730348","doi":"10.1016/j.jth.2025.102021","title":"An investigation of 15-minute neighbourhoods in Surrey, British Columbia: A community-informed social equity analysis for a fast-growing, diverse, Canadian city","year":2025,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"Social Sciences and Humanities Research Council; Social Sciences and Humanities Research Council of Canada; Canadian Institutes of Health Research; Public Health Agency of Canada","keywords":"Equity (law); Sociology; Social equality; Media studies; Geography; Political science; Law","score_opus":0.05624205601724694,"score_gpt":0.3700842191769164,"score_spread":0.3138421631596695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408730348","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99568707,0.00009979412,0.0007700309,0.001847992,0.00022044033,0.00042522777,0.00034349997,0.0000126549585,0.0005933105],"genre_scores_gemma":[0.99845177,0.00006233867,0.00043946263,0.00073319685,0.00010446805,0.0000060121347,0.00010728285,0.000006716359,0.000088753026],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997114,0.0004062237,0.0012758045,0.00016053476,0.00049561553,0.0005477952],"domain_scores_gemma":[0.9979901,0.00013553568,0.0007188054,0.00016479785,0.00046391546,0.0005268792],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0055496534,0.000112097325,0.0007906763,0.0004630275,0.0012566944,0.00011675152,0.00061593635,0.0001936378,0.00012397252],"category_scores_gemma":[0.00007200557,0.00016123902,0.00041696322,0.0017926188,0.00035378017,0.0009858684,0.000008507552,0.0005995793,6.686427e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051855877,0.00015166933,0.97818446,0.00020968945,0.00014824014,0.00000733484,0.016436296,0.000017374317,0.000004868709,0.00008935884,0.0002597128,0.004439137],"study_design_scores_gemma":[0.00091039797,0.0001462623,0.98863196,0.00014193742,0.000247278,3.1415726e-7,0.007424357,0.000017368764,0.000004968649,0.0018174776,0.0005422222,0.00011547216],"about_ca_topic_score_codex":0.96331024,"about_ca_topic_score_gemma":0.9995431,"teacher_disagreement_score":0.036232863,"about_ca_system_score_codex":0.00093133125,"about_ca_system_score_gemma":0.009303003,"threshold_uncertainty_score":0.99631333},"labels":[],"label_agreement":null},{"id":"W4408730431","doi":"10.1016/j.jtrangeo.2025.104212","title":"Perceived accessibility: A literature review","year":2025,"lang":"en","type":"review","venue":"Journal of Transport Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Fonds de Recherche du Québec-Société et Culture","keywords":"Transport engineering; Poison control; Forensic engineering; Engineering; Medicine; Medical emergency","score_opus":0.025192992667299133,"score_gpt":0.3606707433659343,"score_spread":0.33547775069863517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408730431","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000031558866,0.9919691,0.000028368284,0.00028415758,0.0011390621,0.0011637913,0.00017434134,0.00005342805,0.005156205],"genre_scores_gemma":[0.000065912696,0.9979392,0.00025027664,0.00031968675,0.0006697465,0.00002796189,0.00012420399,0.000031508607,0.0005714877],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9942969,0.00061128987,0.0027574985,0.00057067146,0.0011797298,0.00058387563],"domain_scores_gemma":[0.9958421,0.0002832123,0.0019306623,0.0006491279,0.0008801856,0.00041469032],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002994591,0.00064966007,0.004036693,0.0010888898,0.00037594553,0.00013616928,0.002014631,0.0007470098,0.00058547937],"category_scores_gemma":[0.00014908235,0.00046854618,0.0060695154,0.0038474274,0.0004354717,0.0008275476,0.000017780407,0.0017563693,0.0000044224826],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002102033,0.0002972688,0.011030888,0.2395594,0.0006232206,0.00042574224,0.000671288,3.844339e-8,2.4895211e-8,0.000045495402,0.0019875877,0.745338],"study_design_scores_gemma":[0.00012643918,0.000029287374,0.0037656429,0.28016734,0.003827818,0.0000076286296,0.000023509692,4.140445e-9,1.5379804e-8,0.00018690884,0.71156746,0.00029791944],"about_ca_topic_score_codex":0.00006112596,"about_ca_topic_score_gemma":0.00022931506,"teacher_disagreement_score":0.7450401,"about_ca_system_score_codex":0.00010872389,"about_ca_system_score_gemma":0.0023971552,"threshold_uncertainty_score":0.9997766},"labels":[],"label_agreement":null},{"id":"W4408799651","doi":"10.7202/1116927ar","title":"Libérer la parole de la routine. Expériences d’entretien à propos des mobilités pédestres à Bogotá (Colombie) et Lima (Pérou)","year":2024,"lang":"fr","type":"article","venue":"Nouvelles perspectives en sciences sociales","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Agence Nationale de la Recherche","keywords":"Humanities; Art","score_opus":0.0316499041104957,"score_gpt":0.37275505007318654,"score_spread":0.3411051459626908,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408799651","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8610903,0.0528721,0.00028812003,0.009956085,0.0011926439,0.00063382037,0.00011659534,0.00043686086,0.07341348],"genre_scores_gemma":[0.9753099,0.0066882763,0.0027653177,0.00014098933,0.0011214016,0.0000963284,0.000006212995,0.000052524287,0.013819047],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99029255,0.0044098636,0.0007432787,0.0015800087,0.00140546,0.0015688121],"domain_scores_gemma":[0.99394894,0.0048077377,0.00024254591,0.00033037039,0.00024221138,0.0004281824],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.008450516,0.0006677782,0.00067205256,0.0003476873,0.0024348143,0.0021496925,0.0016117739,0.00073173386,0.0014299582],"category_scores_gemma":[0.00115057,0.000589354,0.00058279204,0.0032565547,0.03899185,0.0025320642,0.0002414211,0.00093602866,0.00011550512],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030260475,0.0007203205,0.11191299,0.00020516405,0.00010369741,0.000061660656,0.6575694,0.000064628446,0.00021819663,0.2229578,0.0012087638,0.004947072],"study_design_scores_gemma":[0.0003253154,0.00037340118,0.072748795,0.0006508697,0.00018754123,0.000013607738,0.80793345,0.0005386155,0.00036904044,0.08966883,0.026265835,0.000924678],"about_ca_topic_score_codex":0.011357972,"about_ca_topic_score_gemma":0.005269356,"teacher_disagreement_score":0.15036403,"about_ca_system_score_codex":0.0013481957,"about_ca_system_score_gemma":0.007037521,"threshold_uncertainty_score":0.9996558},"labels":[],"label_agreement":null},{"id":"W4408867642","doi":"10.1186/s12544-025-00714-z","title":"Urban mobility under armed conflict: shifts in mode preferences and public transport fare behaviors","year":2025,"lang":"en","type":"article","venue":"European Transport Research Review","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Public transport; Mode (computer interface); Mode choice; Transport engineering; Engineering; Computer science; Human–computer interaction","score_opus":0.1720145371383716,"score_gpt":0.42731518309407535,"score_spread":0.2553006459557038,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408867642","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8404291,0.0551487,0.000099914054,0.004067119,0.00013730499,0.0025094382,0.00007755764,0.00017073234,0.09736008],"genre_scores_gemma":[0.9519276,0.04564753,0.00003603314,0.00036725347,0.00005745766,0.00011755563,0.00011994925,0.00002849813,0.0016981035],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99338174,0.0020234096,0.0010896543,0.0010991516,0.0012281709,0.001177854],"domain_scores_gemma":[0.9980878,0.00021460123,0.00010228796,0.00072028575,0.00037974957,0.000495243],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.009216332,0.00033261246,0.00073185866,0.0003523728,0.00065465074,0.000099716126,0.0011499089,0.00013745105,0.0008030145],"category_scores_gemma":[0.0001671137,0.0002952923,0.00021913426,0.0021452338,0.0016366306,0.00063583377,0.000037528273,0.0011072085,0.000029667779],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003460693,0.000496513,0.97879064,0.0023485248,0.000026915985,0.00008815761,0.0027079526,4.8923357e-7,0.00003146744,0.004076906,0.0004600729,0.0109377345],"study_design_scores_gemma":[0.00037689586,0.00003675814,0.87459975,0.0019932427,0.000056653967,1.0686807e-7,0.00084589096,0.0000013379483,0.000007131901,0.00049110834,0.121324964,0.00026616722],"about_ca_topic_score_codex":0.0054260176,"about_ca_topic_score_gemma":0.039671175,"teacher_disagreement_score":0.12086489,"about_ca_system_score_codex":0.00017225876,"about_ca_system_score_gemma":0.00089372665,"threshold_uncertainty_score":0.99994993},"labels":[],"label_agreement":null},{"id":"W4408907015","doi":"10.1186/s12966-025-01729-4","title":"The effectiveness of new urban trail infrastructure on physical activity and active transportation: a systematic review and meta-analysis of natural experiments","year":2025,"lang":"en","type":"review","venue":"International Journal of Behavioral Nutrition and Physical Activity","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Manitoba Health; University of Ottawa; University of Manitoba; Children's Hospital Research Institute of Manitoba","funders":"Canadian Institutes of Health Research; Heart and Stroke Foundation of Canada","keywords":"CINAHL; Cycling; Meta-analysis; Behavioural sciences; Geography; Physical activity; Web of science; Documentation; Gerontology; Psychology; Environmental health; Medicine; Physical therapy; Psychological intervention; Computer science; Nursing","score_opus":0.0634745982217728,"score_gpt":0.4329698606008058,"score_spread":0.36949526237903296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408907015","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2923119,0.70544493,0.00002033025,0.00013995079,0.00012370698,0.0013468358,0.00058903394,0.0000059944573,0.000017328222],"genre_scores_gemma":[0.676273,0.32357392,0.000006945802,0.0000062855374,0.000060181144,0.000036659283,0.00001673914,0.0000052753467,0.000021005304],"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","domain_scores_codex":[0.9975466,0.0009215945,0.00045498362,0.00025772324,0.00070566736,0.00011340805],"domain_scores_gemma":[0.9969021,0.001300932,0.0011935104,0.00012816224,0.00036861002,0.000106680796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047918744,0.0002780296,0.003195711,0.00017936419,0.000115185096,0.00005841107,0.00029005538,0.00010805227,0.000008107475],"category_scores_gemma":[0.00006291433,0.00016820863,0.0014613101,0.00041733138,0.0003424771,0.00040598298,0.000018297967,0.00044526704,4.960796e-8],"study_design_candidate":"meta_analysis","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024917817,0.011498777,0.00036333723,0.52796525,0.14286356,0.000034157318,0.0072964933,0.0000020819998,0.0003388322,0.0033681788,0.00010121752,0.30367634],"study_design_scores_gemma":[0.0015842417,0.0005287738,0.027698498,0.063913316,0.9015626,0.0000050377425,0.00043019187,0.00001002761,0.00081757916,0.0014550586,0.0013224795,0.00067221274],"about_ca_topic_score_codex":0.00023262162,"about_ca_topic_score_gemma":0.00006663724,"teacher_disagreement_score":0.758699,"about_ca_system_score_codex":0.00009158439,"about_ca_system_score_gemma":0.0001754195,"threshold_uncertainty_score":0.6859349},"labels":[],"label_agreement":null},{"id":"W4408954287","doi":"10.1080/08882746.2025.2484504","title":"Students’ residential mobility during the COVID-19 pandemic: evidence from Québec, Canada","year":2025,"lang":"en","type":"article","venue":"Housing and Society","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Mitacs","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Geography; Virology; Medicine; Outbreak; Infectious disease (medical specialty)","score_opus":0.0386681237570513,"score_gpt":0.33933050792574515,"score_spread":0.30066238416869384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408954287","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9930983,0.0019780712,0.00019147384,0.004026529,0.0002678215,0.00018236652,0.000013268177,0.000077517034,0.00016466036],"genre_scores_gemma":[0.99666137,0.00048130675,0.000030355663,0.0016645245,0.00014501886,0.000007872125,0.0000015082868,0.000003886886,0.0010041466],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986199,0.00018212656,0.00020023256,0.00032373366,0.00042951683,0.00024445055],"domain_scores_gemma":[0.9989885,0.0005444901,0.000061617335,0.00023206169,0.000048047063,0.00012525705],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0010522939,0.00009612048,0.00014282762,0.000006517939,0.0023053372,0.00019374896,0.0003723758,0.00008425794,0.00007430176],"category_scores_gemma":[0.0002990218,0.000074393545,0.00008922371,0.00019687306,0.00048967183,0.00016181023,0.000084014784,0.00020612936,3.699042e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011933532,0.000015641666,0.9828642,0.000031184183,0.000029283334,0.0000017614601,0.013761669,0.000010093797,0.000063325424,0.0000085417305,0.0030214228,0.00018094313],"study_design_scores_gemma":[0.00019692,0.0000017183546,0.978026,0.000036631027,0.000042830812,6.768884e-8,0.008244149,0.00001410321,0.000022889928,0.00031702442,0.013001734,0.0000959596],"about_ca_topic_score_codex":0.99554145,"about_ca_topic_score_gemma":0.99775064,"teacher_disagreement_score":0.009980312,"about_ca_system_score_codex":0.0007585822,"about_ca_system_score_gemma":0.0030633614,"threshold_uncertainty_score":0.9989935},"labels":[],"label_agreement":null},{"id":"W4408957791","doi":"10.1016/j.trd.2025.104719","title":"Evaluating initiatives to improve transport justice","year":2025,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Economic and Social Research Council; Fonds Wetenschappelijk Onderzoek","keywords":"Economic Justice; Transport engineering; Business; Environmental planning; Political science; Psychology; Engineering; Environmental science; Law","score_opus":0.11393423494023958,"score_gpt":0.4431792360466972,"score_spread":0.3292450011064576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408957791","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9741319,0.00034530595,0.003792664,0.0034355475,0.00029387453,0.0016711595,0.00016889369,0.00012496913,0.01603573],"genre_scores_gemma":[0.9928465,0.0010182228,0.0011606106,0.0003055278,0.00014975898,0.00040154354,0.00018206246,0.000025117773,0.003910639],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9957866,0.00024007147,0.0007466009,0.000918454,0.0013799759,0.00092829304],"domain_scores_gemma":[0.99866426,0.00025701313,0.00007006307,0.00037096918,0.0001416822,0.00049600244],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0031123555,0.00028212118,0.00037769307,0.00032739714,0.0014329818,0.00004475559,0.0003633884,0.00020209244,0.001056887],"category_scores_gemma":[0.000034875968,0.00029158546,0.00013769633,0.0007417224,0.0008331306,0.0005432546,0.0000055685546,0.0005097483,0.000048132057],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006514492,0.0006669983,0.9131075,0.0006073743,0.000162903,0.00007164798,0.03661049,0.00074434467,0.0021985034,0.024486067,0.00026828912,0.020424403],"study_design_scores_gemma":[0.00085878494,0.000166509,0.92357785,0.00011566764,0.00020676895,3.1011275e-8,0.004631403,0.00002182253,0.0005843532,0.0019681377,0.06754612,0.00032252853],"about_ca_topic_score_codex":0.0020940423,"about_ca_topic_score_gemma":0.006674457,"teacher_disagreement_score":0.06727783,"about_ca_system_score_codex":0.00014562858,"about_ca_system_score_gemma":0.00034440713,"threshold_uncertainty_score":0.9999536},"labels":[],"label_agreement":null},{"id":"W4409155055","doi":"10.1080/01441647.2025.2486002","title":"Understanding the manifestations and impacts of ableism in school transportation: a scoping review","year":2025,"lang":"en","type":"review","venue":"Transport Reviews","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Holland Bloorview Kids Rehabilitation Hospital; University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Ableism; Transport engineering; Public transport; Engineering; Sociology; Business; Environmental planning; Environmental science","score_opus":0.2066343799164782,"score_gpt":0.4379370624681262,"score_spread":0.231302682551648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409155055","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000053813706,0.98762554,0.0003821379,0.00020428786,0.0001234085,0.008330152,0.000083943094,0.00003133538,0.0032138252],"genre_scores_gemma":[0.00018587739,0.9984612,0.000080897735,0.00014534153,0.000051613028,0.0006511684,0.00015361945,0.000021295302,0.00024899846],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9955889,0.0005728551,0.0025153449,0.0005294415,0.00038575835,0.00040767892],"domain_scores_gemma":[0.9979608,0.00044210747,0.00088496483,0.00049035816,0.000056793353,0.00016499743],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003533132,0.00043257157,0.0028312749,0.00020621378,0.00031077984,0.00003031173,0.0005410206,0.00024421373,0.00032090902],"category_scores_gemma":[0.00016390224,0.00029479517,0.000725774,0.0016988092,0.00037080175,0.00033302937,0.000004735756,0.0005229797,0.0000055238556],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000033503902,0.000060980903,0.005241737,0.83015627,0.00005275218,0.00002710664,0.0014069863,2.2579896e-7,1.463269e-8,0.0032166452,0.00020161507,0.1596323],"study_design_scores_gemma":[0.00010526432,0.000006944458,0.0014366155,0.7134589,0.0014353405,7.477559e-7,0.00011756207,4.3577245e-8,1.8567253e-8,0.00028118928,0.28289035,0.00026701853],"about_ca_topic_score_codex":0.0010142698,"about_ca_topic_score_gemma":0.03611201,"teacher_disagreement_score":0.28268874,"about_ca_system_score_codex":0.0001994577,"about_ca_system_score_gemma":0.0017980662,"threshold_uncertainty_score":0.9999504},"labels":[],"label_agreement":null},{"id":"W4409197749","doi":"10.1016/j.jth.2025.102046","title":"Cycling infrastructure and transportational and recreational physical activity in Canadians","year":2025,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University; University of Lethbridge; Simon Fraser University; Children's Hospital of Eastern Ontario; Statistics Canada; University of Waterloo; Public Health Agency of Canada; University of Ottawa","funders":"","keywords":"Cycling; Recreation; Physical activity; Business; Geography; Physical medicine and rehabilitation; Medicine; Forestry; Ecology; Biology","score_opus":0.0133363864845398,"score_gpt":0.3393643304092773,"score_spread":0.32602794392473755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409197749","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9897454,0.00040041364,0.000486561,0.00849566,0.00012128908,0.00013318921,0.000031725624,0.000005949937,0.00057982287],"genre_scores_gemma":[0.9986827,0.0003806854,0.00043261604,0.0003110257,0.000114608265,0.0000013830224,0.0000057344623,0.0000039442025,0.00006734798],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99894804,0.00006690083,0.0003476531,0.00014669726,0.00027365153,0.00021706274],"domain_scores_gemma":[0.99938613,0.00009617336,0.00017692271,0.000045786735,0.000077162804,0.00021780831],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070970017,0.00009082984,0.00030543387,0.00017102933,0.00023070606,0.000016173502,0.000088553985,0.00007133807,0.000023277766],"category_scores_gemma":[0.00001663746,0.0000848729,0.000059631995,0.00027415974,0.0001865279,0.00033837245,0.0000010718626,0.00033787842,4.746417e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008672872,0.000079529076,0.97408634,0.000078007666,0.000016074151,0.000014239389,0.008472089,0.000050865652,0.000034385983,0.0025660489,0.000041035095,0.014474635],"study_design_scores_gemma":[0.0004629735,0.000031284642,0.9932651,0.00011960439,0.000018165028,0.0000010373476,0.0007710694,0.00002585256,0.00001007313,0.0039638164,0.0012688563,0.00006219493],"about_ca_topic_score_codex":0.013915184,"about_ca_topic_score_gemma":0.10842047,"teacher_disagreement_score":0.09450529,"about_ca_system_score_codex":0.00014847754,"about_ca_system_score_gemma":0.0020191937,"threshold_uncertainty_score":0.9926512},"labels":[],"label_agreement":null},{"id":"W4409202040","doi":"10.1080/19427867.2025.2470545","title":"Exploring the complexity of daily activity schedules using spatial statistics and machine learning methods","year":2025,"lang":"en","type":"article","venue":"Transportation Letters","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Artificial intelligence; Machine learning; Statistics; Mathematics","score_opus":0.17954961026070831,"score_gpt":0.3775437308689419,"score_spread":0.19799412060823357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409202040","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6130622,0.000026760328,0.38568604,0.0009412621,0.000099276505,0.00009681617,0.000029418748,0.000021361157,0.000036833277],"genre_scores_gemma":[0.9669563,0.000026226595,0.032834455,0.00011144051,0.000027414713,0.0000055557184,0.00002182664,0.000005084406,0.000011677374],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990137,0.00027095035,0.00021864014,0.00016648853,0.0001822448,0.00014795132],"domain_scores_gemma":[0.99949807,0.00021339564,0.000115084564,0.00009021432,0.00004992455,0.000033287204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069896533,0.000086303175,0.00016079342,0.000055872,0.00047490528,0.000029870778,0.000111462345,0.000025621364,0.000033328823],"category_scores_gemma":[0.000044067674,0.00007422059,0.00004040522,0.00023098414,0.0007969112,0.00030066393,0.0000029981024,0.00017977385,1.6277777e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009888777,0.000050205337,0.90116775,0.00015453894,0.000062404026,0.000002539908,0.013931986,0.0009030384,0.022149628,0.020047942,0.000004549492,0.041426525],"study_design_scores_gemma":[0.00020758879,0.0000063727407,0.992263,0.000025285415,0.00007786136,1.4833088e-8,0.00077006215,0.0015792593,0.0034464567,0.0012503781,0.00028947476,0.000084225394],"about_ca_topic_score_codex":0.02076433,"about_ca_topic_score_gemma":0.014082988,"teacher_disagreement_score":0.35389408,"about_ca_system_score_codex":0.000026536949,"about_ca_system_score_gemma":0.00005704652,"threshold_uncertainty_score":0.98575646},"labels":[],"label_agreement":null},{"id":"W4409285027","doi":"10.1016/j.cities.2025.105895","title":"City for people, city for cars. Analyzing maximum walkability areas through machine learning algorithms and open-source data","year":2025,"lang":"en","type":"article","venue":"Cities","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Ministerio de Ciencia e Innovación; McMaster University","keywords":"Walkability; Computer science; Open source; Open data; Algorithm; Transport engineering; Built environment; Engineering; Civil engineering; World Wide Web","score_opus":0.07184996312195563,"score_gpt":0.3565873842342004,"score_spread":0.28473742111224476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409285027","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8931078,0.0021230627,0.092699446,0.002465106,0.00044736126,0.001824828,0.000961099,0.00019995867,0.00617137],"genre_scores_gemma":[0.99079525,0.000112025446,0.0036212886,0.00014545726,0.00016197091,0.000092816495,0.00037936863,0.000013195777,0.0046786154],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99826646,0.00012261202,0.0003318766,0.00067984354,0.00018070695,0.0004185148],"domain_scores_gemma":[0.9984297,0.0006960933,0.00012177132,0.00050117995,0.00017098496,0.00008025489],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0019699638,0.00017735855,0.00044470307,0.000045182267,0.0016618157,0.0003907326,0.0010397919,0.000092307695,0.00009084298],"category_scores_gemma":[0.00088226784,0.00017064725,0.0000919126,0.0003087384,0.00045752517,0.0010158427,0.00040444985,0.00018944497,3.1426563e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008339494,0.00006656306,0.97276264,0.0002053558,0.00006337773,4.2368652e-7,0.0073365956,0.0000068739196,0.0000051326706,0.0017310947,0.0007790815,0.01695947],"study_design_scores_gemma":[0.0025297096,0.00012309854,0.4889519,0.00017831971,0.00041702008,5.342441e-7,0.024008948,0.0071983566,0.0003037,0.13915852,0.3362874,0.00084247673],"about_ca_topic_score_codex":0.023933804,"about_ca_topic_score_gemma":0.057951286,"teacher_disagreement_score":0.48381075,"about_ca_system_score_codex":0.0000852012,"about_ca_system_score_gemma":0.00023790394,"threshold_uncertainty_score":0.9996379},"labels":[],"label_agreement":null},{"id":"W4409365213","doi":"10.21203/rs.3.rs-5984185/v1","title":"A Geographically Weighted Random Forest Analysis of Spatial Non-Stationarity Association of Street View Environmental, Socioeconomic, and Lifestyle Factors with Type-2 Diabetes Prevalence in Toronto","year":2025,"lang":"en","type":"preprint","venue":"Research Square","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Socioeconomic status; Geography; Association (psychology); Environmental health; Type 2 diabetes; Demography; Medicine; Diabetes mellitus; Psychology; Sociology; Population","score_opus":0.014475443162750066,"score_gpt":0.3326443138252527,"score_spread":0.31816887066250266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409365213","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966023,0.0011517553,0.00002919314,0.00008510547,0.00003149284,0.00092950003,0.0008940826,0.000008680232,0.000267891],"genre_scores_gemma":[0.99591905,0.0034454414,0.00006582334,0.0000028787945,0.000021595768,0.0000538304,0.00040779662,0.000005606168,0.00007798374],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99721247,0.0006850115,0.00048814795,0.00045691678,0.0008270517,0.00033041052],"domain_scores_gemma":[0.9979556,0.0011051223,0.0003384575,0.00026980977,0.00023637693,0.00009463659],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025394624,0.00015185562,0.0006397887,0.0003127217,0.00015855997,0.000045574838,0.00033300283,0.00031123369,0.00041551463],"category_scores_gemma":[0.00018600858,0.0001359771,0.00016679915,0.00039341825,0.00047975066,0.0001930394,0.00015044874,0.00039012014,2.9139505e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008689225,0.00021233069,0.99548227,0.000766739,0.00046581702,3.6767864e-7,0.0025001338,0.000058632835,0.0000114806235,0.00005311513,0.000004534652,0.00035768107],"study_design_scores_gemma":[0.00047070865,0.00007256562,0.9963426,0.00024726248,0.0002727171,5.177466e-10,0.0013938484,0.0006576753,0.000028716433,0.0003687756,0.0000297806,0.00011536083],"about_ca_topic_score_codex":0.09636469,"about_ca_topic_score_gemma":0.5325652,"teacher_disagreement_score":0.4362005,"about_ca_system_score_codex":0.000881591,"about_ca_system_score_gemma":0.0005057031,"threshold_uncertainty_score":0.9096527},"labels":[],"label_agreement":null},{"id":"W4409432737","doi":"10.1016/j.tra.2025.104475","title":"Travelling in the margins: Impacts of transport poverty on travel attitudes and behaviours","year":2025,"lang":"en","type":"article","venue":"Transportation Research Part A Policy and Practice","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Social Sciences and Humanities Research Council","keywords":"Poverty; Travel behavior; Transport engineering; Public transport; Geography; Economics; Economic growth; Engineering","score_opus":0.11282549954825263,"score_gpt":0.4817713282122116,"score_spread":0.368945828663959,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409432737","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96564305,0.00072630576,0.00007147276,0.016136335,0.000030490639,0.00064788247,0.00008649909,0.000012443007,0.016645525],"genre_scores_gemma":[0.99579287,0.0029600384,0.0000711,0.0007889137,0.000061458784,0.000030902484,0.000024844898,0.000005731775,0.0002641182],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976358,0.0006972665,0.00036004448,0.0002748433,0.0006472499,0.00038479295],"domain_scores_gemma":[0.9970002,0.0025013147,0.00007862751,0.00016270642,0.00015490077,0.00010222484],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0053401557,0.00011111509,0.00018883523,0.00029743268,0.0004290451,0.000058993108,0.00020211484,0.00011714436,0.00003841015],"category_scores_gemma":[0.0005194877,0.000087040244,0.000045755798,0.001087829,0.00057885377,0.00055432494,0.0000017477813,0.00045723218,7.2898644e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012725187,0.00085735525,0.6604927,0.00037840105,0.000050520783,0.000061928135,0.09784879,0.000011116005,0.00018455023,0.2330081,0.00032496758,0.005509014],"study_design_scores_gemma":[0.00047404208,0.00008264597,0.9783647,0.00012396979,0.00003565927,2.948722e-7,0.008750425,0.0000046818377,0.000121690384,0.0014087454,0.010551086,0.00008202732],"about_ca_topic_score_codex":0.06529175,"about_ca_topic_score_gemma":0.075378,"teacher_disagreement_score":0.317872,"about_ca_system_score_codex":0.00003563008,"about_ca_system_score_gemma":0.0004788677,"threshold_uncertainty_score":0.9414939},"labels":[],"label_agreement":null},{"id":"W4409507010","doi":"10.1080/09581596.2025.2486497","title":"Astronomical cost of living: challenging housing, transportation and commuting experiences among care workers","year":2025,"lang":"en","type":"article","venue":"Critical Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Business; Environmental planning; Geography","score_opus":0.04594250041146879,"score_gpt":0.37412150901811786,"score_spread":0.32817900860664906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409507010","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9843474,0.00090557133,0.004373974,0.007456292,0.00018771598,0.00020964781,0.0000061898586,0.000060867318,0.0024523474],"genre_scores_gemma":[0.99943453,0.000018273553,0.00032369661,0.00013122652,0.000050697377,0.000020066864,0.000005239452,0.0000047752023,0.000011503852],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985704,0.00018724162,0.0003677393,0.00023721934,0.00018612314,0.000451321],"domain_scores_gemma":[0.9988601,0.0005894576,0.000054792177,0.000110542205,0.000107366206,0.0002776922],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00096913223,0.000082909246,0.0002198088,0.00007892316,0.0006888552,0.00009169202,0.0001633731,0.00008399575,0.00006874739],"category_scores_gemma":[0.0006747482,0.000086115906,0.00004562267,0.00024871386,0.0011221655,0.0003645738,0.000011149997,0.000175529,2.3563504e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000023199732,0.000049793995,0.9000126,0.00016548135,0.000003858698,2.7144299e-7,0.07731583,0.0000017365326,5.0041297e-7,0.0108392965,0.000037762085,0.011570516],"study_design_scores_gemma":[0.00005916393,0.000019505278,0.6847648,0.00027196374,0.000005151621,8.265103e-9,0.31352141,0.00007571212,0.000003226286,0.00007877329,0.0011288157,0.0000714565],"about_ca_topic_score_codex":0.0035442614,"about_ca_topic_score_gemma":0.005441753,"teacher_disagreement_score":0.23620561,"about_ca_system_score_codex":0.00012276939,"about_ca_system_score_gemma":0.0006167749,"threshold_uncertainty_score":0.53578866},"labels":[],"label_agreement":null},{"id":"W4409571668","doi":"10.1503/cjs.004924","title":"Electric scooter injury and trauma in Edmonton: a multicentre prospective and retrospective observational study","year":2025,"lang":"en","type":"article","venue":"Canadian Journal of Surgery","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Alberta Health Services; University of Alberta","funders":"Canadian Institutes of Health Research; University of Alberta","keywords":"Medicine; Observational study; Retrospective cohort study; Emergency medicine; Medical emergency; Poison control; Physical therapy; Surgery; Internal medicine","score_opus":0.047403088840075415,"score_gpt":0.309518024202876,"score_spread":0.26211493536280056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409571668","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99666846,0.0010294138,0.0000030365711,0.0008963687,0.00020222097,0.00023196357,0.0000053375684,0.0000030606316,0.00096011773],"genre_scores_gemma":[0.9996017,0.000030284315,0.000015493008,0.0001012241,0.00008410431,0.0000032820146,4.0525927e-7,0.000003451926,0.00016002501],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990332,0.00010672732,0.00031715672,0.00014987789,0.00015640266,0.00023660704],"domain_scores_gemma":[0.9992264,0.0001699235,0.00010961389,0.000052096682,0.00020607046,0.00023589327],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010402863,0.00007763171,0.0002473025,0.00043342108,0.00022447057,0.00008723791,0.0000764176,0.000057797806,0.000042985906],"category_scores_gemma":[0.00036926375,0.00007462204,0.000042489006,0.0006650892,0.00013807694,0.0003910499,0.0000036918298,0.00022021684,1.557124e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040568528,0.000045766235,0.9912315,0.0000060402076,0.000024504625,0.00006716199,0.0053376467,2.0134767e-7,0.000005985082,0.00021884002,0.00022759961,0.0027941943],"study_design_scores_gemma":[0.00025196053,0.000025143945,0.9949908,0.000056906123,0.00001820055,6.7310077e-7,0.00280319,0.0000027735948,0.0000116290175,0.0014402018,0.00032933973,0.00006916891],"about_ca_topic_score_codex":0.030513939,"about_ca_topic_score_gemma":0.5079236,"teacher_disagreement_score":0.47740966,"about_ca_system_score_codex":0.0003686972,"about_ca_system_score_gemma":0.0022018123,"threshold_uncertainty_score":0.97594196},"labels":[],"label_agreement":null},{"id":"W4409577544","doi":"10.1016/j.cstp.2025.101455","title":"Micro-public transport accessibility mapping to enhance local area planning (LAP) in Ahmedabad","year":2025,"lang":"en","type":"article","venue":"Case Studies on Transport Policy","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Public transport; Transport engineering; Environmental planning; Transportation planning; Urban planning; Business; Computer science; Environmental science; Civil engineering; Engineering","score_opus":0.06595646301694419,"score_gpt":0.40271324006911546,"score_spread":0.3367567770521713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409577544","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9701691,0.0010395256,0.0020707804,0.005366266,0.0005125316,0.0009985681,0.00010674647,0.00025607043,0.019480407],"genre_scores_gemma":[0.9958505,0.00011329742,0.00016039591,0.0021852201,0.0002605994,0.00018336906,0.00003523112,0.00002682439,0.0011845824],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9956353,0.00015928276,0.0012223265,0.0012163138,0.00051515206,0.0012516429],"domain_scores_gemma":[0.9982684,0.0002617424,0.00016297579,0.00063994137,0.00026596434,0.0004009431],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0016733105,0.0005048967,0.0009172815,0.00087050773,0.0009957817,0.000049111713,0.0006670081,0.00026649574,0.000060892056],"category_scores_gemma":[0.00025416937,0.00049419067,0.00030031928,0.0035539512,0.0010265853,0.0004943561,0.000030856572,0.00057821965,0.000020066289],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029163956,0.00063745026,0.8743759,0.000486567,0.00023323201,0.004202726,0.099092275,0.00022649876,0.00024166235,0.002892824,0.0002625987,0.017056663],"study_design_scores_gemma":[0.0015779347,0.00014672233,0.895929,0.0013129784,0.00013911945,0.000013546485,0.06296185,0.000013593,0.0037242274,0.0037363751,0.028938415,0.0015062573],"about_ca_topic_score_codex":0.0065579894,"about_ca_topic_score_gemma":0.06411265,"teacher_disagreement_score":0.057554662,"about_ca_system_score_codex":0.00083058485,"about_ca_system_score_gemma":0.00108026,"threshold_uncertainty_score":0.999751},"labels":[],"label_agreement":null},{"id":"W4409590946","doi":"10.1016/j.trd.2025.104722","title":"The future of urban cycling: A predictive framework for climate change","year":2025,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Government of Canada","keywords":"Cycling; Climate change; Environmental science; Geography; Geology; Oceanography","score_opus":0.054954118398501145,"score_gpt":0.36874862827742677,"score_spread":0.31379450987892565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409590946","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96626747,0.0076873773,0.008798141,0.010160646,0.0005872706,0.0038654571,0.0006359041,0.00008325365,0.0019145013],"genre_scores_gemma":[0.9822148,0.015802292,0.00047504468,0.000051233703,0.00031519413,0.0007025981,0.00011023561,0.000012855965,0.00031574964],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99781907,0.00010220792,0.0004696074,0.00038854315,0.00063232123,0.00058827037],"domain_scores_gemma":[0.99900347,0.0004258301,0.00008786959,0.000254352,0.000083343104,0.00014516179],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001882811,0.00014503057,0.00022924479,0.00008767181,0.0013740484,0.000027277702,0.00027133248,0.00018709156,0.00007545337],"category_scores_gemma":[0.000011545753,0.0001146026,0.00013749106,0.00030005118,0.0010915169,0.00019528512,0.0000035147689,0.00030858876,0.0000016561777],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00057792425,0.00018838547,0.81118107,0.000253122,0.000070148686,0.000002828026,0.014450634,0.000011737731,0.000020956184,0.16226038,0.00015357578,0.0108292345],"study_design_scores_gemma":[0.0004188278,0.00009281371,0.7651195,0.000106064144,0.00006993159,7.233135e-9,0.0053036595,0.000013478926,0.00011777801,0.02084948,0.20779674,0.00011171476],"about_ca_topic_score_codex":0.00033288923,"about_ca_topic_score_gemma":0.0027348318,"teacher_disagreement_score":0.20764317,"about_ca_system_score_codex":0.000046405297,"about_ca_system_score_gemma":0.00008594149,"threshold_uncertainty_score":0.99992603},"labels":[],"label_agreement":null},{"id":"W4409817449","doi":"10.3390/disabilities5020042","title":"Enhancing Urban Accessibility: Reliability and Validity Assessment of the Stakeholders’ Walkability/Wheelability Audit in Neighbourhoods Tool","year":2025,"lang":"en","type":"article","venue":"Disabilities","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia; Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada; Simon Fraser University","keywords":"Walkability; Audit; Reliability (semiconductor); Validity; Built environment; Psychology; Environmental planning; Applied psychology; Business; Geography; Psychometrics; Engineering; Civil engineering; Accounting; Clinical psychology","score_opus":0.05113636528266366,"score_gpt":0.3402104959043575,"score_spread":0.28907413062169385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409817449","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98190475,0.0001415552,0.00016624776,0.002338365,0.00064517575,0.0014736339,0.0000797388,0.00009412823,0.013156426],"genre_scores_gemma":[0.9986731,0.00002111409,0.0002722061,0.000109646,0.00007044314,0.000113567905,0.000006088455,0.000012005124,0.0007218692],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99453413,0.0016388809,0.0013501961,0.0010594869,0.00075632177,0.00066099537],"domain_scores_gemma":[0.9952378,0.002517429,0.0002586832,0.0015771404,0.0002916848,0.00011722556],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0070035215,0.0003316951,0.0007199791,0.00009884524,0.0006609662,0.000150524,0.0008940227,0.0002768799,0.00046558108],"category_scores_gemma":[0.005502133,0.00025960218,0.00031399503,0.0010916977,0.003964906,0.0008301121,0.00031129958,0.0005701586,7.391827e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037935763,0.00055774895,0.9761489,0.00061972515,0.000014458547,2.1118113e-7,0.009515423,0.000009369169,0.00013532829,0.011914252,0.00005115214,0.0009954751],"study_design_scores_gemma":[0.000417962,0.000032055166,0.91491777,0.00012578323,0.0000421163,3.8992006e-8,0.01709399,0.00005975812,0.0008293785,0.065666005,0.00058521354,0.0002299307],"about_ca_topic_score_codex":0.009627185,"about_ca_topic_score_gemma":0.030959392,"teacher_disagreement_score":0.061231147,"about_ca_system_score_codex":0.0009217469,"about_ca_system_score_gemma":0.0014624865,"threshold_uncertainty_score":0.99998564},"labels":[],"label_agreement":null},{"id":"W4409869555","doi":"10.1016/j.jtrangeo.2025.104245","title":"BikeshareGAN: Predicting dockless bike-sharing demand based on satellite image","year":2025,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University Research Committee, University of Hong Kong; University of British Columbia; University of Hong Kong","keywords":"Bike sharing; Satellite; Satellite image; Transport engineering; Computer science; Remote sensing; Engineering; Geography; Aerospace engineering","score_opus":0.010986880590898581,"score_gpt":0.28344570654256773,"score_spread":0.27245882595166915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409869555","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9724048,0.00096578925,0.0031793055,0.0011806529,0.00081748934,0.00024586194,0.000030702522,0.00007811793,0.021097288],"genre_scores_gemma":[0.9981887,0.00023318491,0.000813798,0.00033533876,0.00026851066,0.0000039787615,0.0000104775845,0.000014297213,0.0001317678],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99751896,0.000079147256,0.00087211997,0.00031803682,0.0007549745,0.00045674655],"domain_scores_gemma":[0.99860466,0.0001442229,0.0004098487,0.00027233828,0.0003398594,0.00022909915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018242027,0.00021705525,0.00043371858,0.0007971098,0.0005231851,0.000117628355,0.00070258364,0.00016107596,0.00020341587],"category_scores_gemma":[0.00004168037,0.0001889124,0.0006802736,0.0013192043,0.00029930478,0.0005944624,0.0000070928854,0.0005075217,0.000002218088],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002001293,0.0002075948,0.9958119,0.00009922486,0.000082055696,0.000087648004,0.00076313847,0.00014495422,0.0001513895,0.00013352807,0.000048949954,0.0022694801],"study_design_scores_gemma":[0.00097356556,0.000091413436,0.98205626,0.00062896335,0.00021580003,5.7251566e-7,0.0004678468,0.00008916727,0.00061373657,0.0012670228,0.013385118,0.00021055035],"about_ca_topic_score_codex":0.00032094403,"about_ca_topic_score_gemma":0.00073926494,"teacher_disagreement_score":0.025783852,"about_ca_system_score_codex":0.000050077924,"about_ca_system_score_gemma":0.00026223238,"threshold_uncertainty_score":0.7703624},"labels":[],"label_agreement":null},{"id":"W4410017078","doi":"10.1016/j.habitatint.2025.103426","title":"Assessing the impact of urban amenities on people with disabilities in London: A multiscale geographically weighted regression analysis","year":2025,"lang":"en","type":"article","venue":"Habitat International","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Geographically Weighted Regression; Regression analysis; Geography; Regression; Regional science; Econometrics; Statistics; Demographic economics; Economic geography; Economics; Mathematics","score_opus":0.015727326489391534,"score_gpt":0.35350407053450794,"score_spread":0.33777674404511643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410017078","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98527664,0.00006286701,0.00032495815,0.0013042339,0.00009317876,0.00015108939,0.000026724065,0.000022528768,0.012737762],"genre_scores_gemma":[0.9990524,0.000011004368,0.00014667708,0.000038005826,0.000039635488,0.00002408109,0.000035138455,0.0000037163522,0.0006493204],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987486,0.00015481001,0.00027578275,0.00021180316,0.00044209504,0.00016689858],"domain_scores_gemma":[0.99886805,0.0006411809,0.00011084989,0.00017118429,0.00017658903,0.000032122443],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004079148,0.00010763165,0.00021243001,0.00033297925,0.0001897492,0.00014234359,0.00034400533,0.000054758668,0.0003004432],"category_scores_gemma":[0.00013231799,0.000060657112,0.00022288665,0.0011120847,0.00052721,0.00035693697,0.000023179535,0.00014981302,8.879847e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009007334,0.00020238453,0.99099034,0.0000063943817,0.00021587368,0.0000011331604,0.00479768,0.00012743779,0.000018792154,0.0029358738,0.00010437154,0.000509646],"study_design_scores_gemma":[0.0002679122,0.000033637232,0.99101645,0.000099513134,0.00005541479,4.63853e-8,0.005445577,0.0008816917,0.000037958835,0.001999915,0.000091240494,0.00007062321],"about_ca_topic_score_codex":0.010481052,"about_ca_topic_score_gemma":0.03965597,"teacher_disagreement_score":0.029174918,"about_ca_system_score_codex":0.0001517979,"about_ca_system_score_gemma":0.00017778043,"threshold_uncertainty_score":0.99610823},"labels":[],"label_agreement":null},{"id":"W4410034239","doi":"10.1007/978-3-031-82896-6_10","title":"Navigating the Shift: Strategies Beyond “Build It and They Will Come” for Sustainable Mobility in Quebec","year":2025,"lang":"en","type":"book-chapter","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Montréal; Polytechnique Montréal; McGill University","funders":"École de technologie supérieure","keywords":"Political science; Geography","score_opus":0.014551181643332252,"score_gpt":0.30767391846091907,"score_spread":0.2931227368175868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410034239","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.039779827,0.0007737806,0.000121519115,0.0061726454,0.0001116562,0.0021012481,0.000050590646,0.0000831696,0.95080554],"genre_scores_gemma":[0.561164,0.000044528868,0.00005585245,0.00020370643,0.000094438554,0.000050714127,0.000023173354,0.00001154422,0.43835202],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99823385,0.00005492853,0.00045150332,0.00051292975,0.00029142297,0.0004553632],"domain_scores_gemma":[0.9985607,0.0007048909,0.00015172453,0.00035152218,0.00016175916,0.00006938116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016501951,0.00026699863,0.0004039696,0.000034376382,0.00073392113,0.00046669744,0.00048035142,0.00035757452,0.0002842463],"category_scores_gemma":[0.00009131189,0.00018796558,0.00014343616,0.00006793385,0.00071694516,0.0007500374,0.00008561169,0.00061181624,9.1366974e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024455272,0.00002816819,0.012117376,0.00029541532,0.000023786684,0.000006018999,0.0102636805,0.0000031698746,2.255071e-7,0.97417,0.0003463081,0.0027213502],"study_design_scores_gemma":[0.00024009016,0.000024494542,0.0056317477,0.00018731413,0.00004977459,3.9066034e-8,0.033284713,0.000011208008,0.0000022776546,0.8434133,0.11684889,0.00030613507],"about_ca_topic_score_codex":0.3204869,"about_ca_topic_score_gemma":0.8660369,"teacher_disagreement_score":0.54555,"about_ca_system_score_codex":0.00021566078,"about_ca_system_score_gemma":0.0009682872,"threshold_uncertainty_score":0.76650137},"labels":[],"label_agreement":null},{"id":"W4410039280","doi":"10.1177/00420980251330517","title":"Turning the wheel on active transportation: Shifts in policymaking and planning for cycling and pedestrian infrastructure during the COVID-19 pandemic in large urban areas","year":2025,"lang":"en","type":"article","venue":"Urban Studies","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pedestrian; Cycling; Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Transport engineering; Environmental planning; Business; Geography; Engineering; Virology; Medicine","score_opus":0.048828017014432144,"score_gpt":0.38225818982543885,"score_spread":0.33343017281100673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410039280","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99232745,0.0044549773,0.00005099154,0.002064401,0.000118330325,0.0005665621,0.000029307777,0.000035553476,0.00035241919],"genre_scores_gemma":[0.9989116,0.0001979528,0.000015699545,0.00053438725,0.00016200349,0.00007093942,0.000004082842,0.000006676646,0.00009661537],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988112,0.00011778578,0.00027548207,0.00031168893,0.00014665579,0.00033720894],"domain_scores_gemma":[0.9985774,0.0011340089,0.00010665409,0.00010267533,0.000032351676,0.00004690644],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0007837813,0.00015402112,0.00025158894,0.00012516583,0.0013027856,0.000072810515,0.00015439672,0.0000827771,0.000002483492],"category_scores_gemma":[0.00060689746,0.00010105482,0.000040826377,0.00037925394,0.00031452064,0.00017817786,0.00002120087,0.00031510607,5.0213362e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009910285,0.000008846273,0.8309343,0.00008278393,0.000030846462,0.000003679322,0.16733193,0.000097018696,0.000009585055,0.0010379329,0.00008236762,0.00028159493],"study_design_scores_gemma":[0.00084346964,0.000009907196,0.9207982,0.00015595632,0.000027535943,1.1028999e-7,0.07218997,0.00002090925,0.000004689198,0.003865774,0.0019809736,0.000102529906],"about_ca_topic_score_codex":0.00081268774,"about_ca_topic_score_gemma":0.040299017,"teacher_disagreement_score":0.09514197,"about_ca_system_score_codex":0.0001802384,"about_ca_system_score_gemma":0.000118757394,"threshold_uncertainty_score":0.9999974},"labels":[],"label_agreement":null},{"id":"W4410065404","doi":"10.31039/ljss.2025.9.323","title":"Urban evolution: streamlining development for convenience and affordability","year":2025,"lang":"en","type":"article","venue":"London Journal of Social Sciences","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Environmental planning; Business; Geography","score_opus":0.02914030835586558,"score_gpt":0.34382210448030975,"score_spread":0.3146817961244442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410065404","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9872275,0.0007069304,0.004436162,0.0021835945,0.0005218504,0.00016818519,0.0000022801826,0.000013488535,0.00474],"genre_scores_gemma":[0.99642926,0.000012891634,0.0029261957,0.00008639344,0.00019547303,0.000003857662,2.521293e-7,0.0000015292745,0.0003441263],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986571,0.00008421573,0.00041336467,0.0001761672,0.00039910775,0.00027000776],"domain_scores_gemma":[0.9991134,0.00023841685,0.00026781985,0.000036487352,0.00026850455,0.00007539488],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.003219631,0.00007717859,0.00020219403,0.00009488019,0.0019826472,0.000110234156,0.00034006825,0.00006642767,0.00003017512],"category_scores_gemma":[0.00030973004,0.0000637215,0.000082806015,0.0005287354,0.0014903605,0.0005234869,0.000023525614,0.00010348692,3.3341664e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004443082,0.000061206556,0.9346717,0.00002850835,0.000015163215,8.6735645e-7,0.01223956,0.0000014103356,0.00003877386,0.036779556,0.0006532475,0.015465558],"study_design_scores_gemma":[0.00073475286,0.00013415053,0.88095105,0.00009013214,0.000043389857,6.950557e-7,0.018969731,0.000022677907,0.0004346021,0.025264496,0.07315647,0.00019786706],"about_ca_topic_score_codex":0.00012541554,"about_ca_topic_score_gemma":0.0006006069,"teacher_disagreement_score":0.072503224,"about_ca_system_score_codex":0.00014328188,"about_ca_system_score_gemma":0.0014180463,"threshold_uncertainty_score":0.99931663},"labels":[],"label_agreement":null},{"id":"W4410093126","doi":"10.1016/j.cities.2025.106041","title":"Bridging the gap: A social equity analysis of intra-city transit access to inter-city rail in Canada","year":2025,"lang":"en","type":"article","venue":"Cities","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Saskatchewan; Western University","funders":"","keywords":"Bridging (networking); Equity (law); Social equality; Business; Rail transit; Regional science; Transport engineering; Economic geography; Political science; Geography; Engineering; Computer science; Computer security; Law","score_opus":0.05985986577224909,"score_gpt":0.35566229639007096,"score_spread":0.29580243061782185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410093126","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97723687,0.000040944702,0.0012647037,0.0075850585,0.0001954552,0.00018144713,0.00007285964,0.000017935256,0.013404706],"genre_scores_gemma":[0.99850726,0.000004454421,0.0000067041497,0.0011016474,0.00005979348,0.000014132888,0.0000057501593,0.0000025486813,0.00029771446],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986632,0.00014439228,0.00033771683,0.0002182844,0.00033081562,0.00030560239],"domain_scores_gemma":[0.9994879,0.00013594236,0.00007253615,0.00015849307,0.00009399361,0.00005114501],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000784565,0.00009849975,0.00034920915,0.00017394313,0.00043746026,0.00013520775,0.0007601725,0.00003690571,0.00033946123],"category_scores_gemma":[0.00009335562,0.00008348577,0.00013995313,0.0019429429,0.00039580997,0.0002304904,0.00008523015,0.00016212379,1.9307768e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042168016,0.000025694762,0.9696143,0.00003294548,0.00016143946,0.0000030731674,0.019007748,0.000057684916,0.000021108039,0.0007465136,0.0013193629,0.008967904],"study_design_scores_gemma":[0.00010103663,0.0000032340517,0.9907277,0.000023634655,0.00016972328,7.939708e-9,0.0061703874,0.00009546162,0.00041323327,0.0011192816,0.0010767002,0.0000995575],"about_ca_topic_score_codex":0.97180367,"about_ca_topic_score_gemma":0.99939424,"teacher_disagreement_score":0.02759057,"about_ca_system_score_codex":0.00048720374,"about_ca_system_score_gemma":0.0016877069,"threshold_uncertainty_score":0.37168625},"labels":[],"label_agreement":null},{"id":"W4410106834","doi":"10.1101/2025.05.05.25326996","title":"Does sleep impact mobility in adults? A scoping review","year":2025,"lang":"en","type":"review","venue":"medRxiv","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Sleep (system call); Psychology; Computer science","score_opus":0.03777637636769197,"score_gpt":0.41446967956807873,"score_spread":0.37669330320038674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410106834","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00028378615,0.9923209,0.000004951226,0.000094796276,0.0005150386,0.0036612598,0.000046560857,0.00008853551,0.0029841936],"genre_scores_gemma":[0.00026765946,0.9986896,0.000017898627,0.00006387595,0.00017990568,0.00035331567,0.000040386243,0.000016113569,0.0003712811],"study_design_codex":"design_other","study_design_gemma":"systematic_review","domain_scores_codex":[0.9961841,0.0009055749,0.0011673243,0.0007823069,0.00041488738,0.000545801],"domain_scores_gemma":[0.99813604,0.00054302614,0.00036937356,0.0007066885,0.00008293759,0.0001619025],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0031093447,0.00039885103,0.0023494211,0.00016741101,0.00018605069,0.000058305402,0.00091490056,0.00033303216,0.0011031455],"category_scores_gemma":[0.0011096003,0.00021914189,0.00095481856,0.0015639638,0.00024090882,0.00023886412,0.00006600352,0.0005290528,0.000038507926],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000024622411,0.00008338015,0.039965663,0.39311692,0.000019401741,0.0000104640685,0.0001778408,1.974707e-8,1.7286614e-9,0.000017146087,0.0000332735,0.5665734],"study_design_scores_gemma":[0.00007186376,0.000007807977,0.0025027539,0.84084004,0.00023145115,7.464496e-8,0.000017967417,2.0717113e-7,3.5852604e-8,0.00010513007,0.15591425,0.00030843052],"about_ca_topic_score_codex":0.0028206282,"about_ca_topic_score_gemma":0.020863913,"teacher_disagreement_score":0.566265,"about_ca_system_score_codex":0.0003347742,"about_ca_system_score_gemma":0.0018426138,"threshold_uncertainty_score":0.99981},"labels":[],"label_agreement":null},{"id":"W4410191905","doi":"10.1016/j.tbs.2025.101042","title":"Green stormwater infrastructure and active mobility: A case study investigating the effects of bioswales on individuals’ perceptions","year":2025,"lang":"en","type":"article","venue":"Travel Behaviour and Society","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds de Recherche du Québec-Société et Culture; Transportation Association of Canada Foundation","keywords":"Stormwater; Green infrastructure; Business; Stormwater management; Perception; Environmental planning; Environmental health; Environmental science; Psychology; Medicine; Ecology; Surface runoff","score_opus":0.016945156686398042,"score_gpt":0.30850926282364644,"score_spread":0.29156410613724837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410191905","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998809,0.000053368516,0.000007888868,0.00020988386,0.00005920919,0.00068714586,0.000035249584,0.000021204285,0.00011704931],"genre_scores_gemma":[0.99957037,0.000018321025,0.00005687895,0.00012620249,0.000026499316,0.000030239355,0.0000031458528,0.000004501787,0.00016386264],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990781,0.00016541862,0.00016826163,0.0002457598,0.00018133123,0.00016115468],"domain_scores_gemma":[0.9994563,0.00022375608,0.000057895133,0.00014480262,0.000049402468,0.00006784584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004242012,0.00011943753,0.0001787325,0.000022186327,0.000798561,0.00004661335,0.000107982836,0.00011291076,0.000012776429],"category_scores_gemma":[0.00003386201,0.000080942154,0.00007754695,0.00018862396,0.0008578941,0.00012070455,0.000038840535,0.00025619904,1.0393902e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000018803562,0.00011121156,0.7595223,0.000038416263,0.00003207069,0.0000040869995,0.23810615,9.236581e-8,0.00017003289,0.0000769785,0.000029152608,0.0019076405],"study_design_scores_gemma":[0.00030434722,0.00006694674,0.8069267,0.000023980561,0.00013822595,9.380222e-7,0.19183706,0.0000024733451,0.00015115373,0.00047946873,0.0000036438623,0.00006501327],"about_ca_topic_score_codex":0.010452964,"about_ca_topic_score_gemma":0.0029852137,"teacher_disagreement_score":0.047404453,"about_ca_system_score_codex":0.00003412648,"about_ca_system_score_gemma":0.00009210988,"threshold_uncertainty_score":0.9961365},"labels":[],"label_agreement":null},{"id":"W4410228461","doi":"10.1016/j.jth.2025.102062","title":"Paratransit as a vehicle for reducing loneliness and social isolation among adults and older adults","year":2025,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Loneliness; Paratransit; Social isolation; Isolation (microbiology); Psychology; Gerontology; Medicine; Engineering; Transport engineering; Social psychology; Psychiatry","score_opus":0.013544165050508391,"score_gpt":0.32784420602508607,"score_spread":0.3143000409745777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410228461","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9853086,0.0012804912,0.0031353985,0.00939711,0.00024148298,0.0004974196,0.000017025393,0.000017212384,0.00010525281],"genre_scores_gemma":[0.9984424,0.00035015366,0.00042274626,0.00036012928,0.00029296702,0.0000054840452,0.0000082531305,0.000008474691,0.000109402215],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984749,0.000066762674,0.00069307286,0.00021746854,0.00025414975,0.0002936299],"domain_scores_gemma":[0.9991071,0.00007102809,0.0003428481,0.00005935675,0.0002577022,0.00016195278],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012254716,0.000118004245,0.00037256881,0.0001097901,0.00067437754,0.000037007798,0.000109112436,0.00012639457,0.000014861744],"category_scores_gemma":[0.000017441822,0.0001092678,0.00011413167,0.0002054745,0.00018402361,0.00047322604,0.0000022975835,0.0002183023,1.344736e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017759782,0.00022198183,0.8662114,0.0011960809,0.00005470343,0.000009320582,0.08911257,0.0000097427965,0.00003365468,0.0004885707,0.00032073265,0.04056527],"study_design_scores_gemma":[0.002196021,0.00014951735,0.98958445,0.00066108606,0.00006505636,0.0000010165942,0.005622694,0.00012832583,0.00002781792,0.0006324436,0.00081803196,0.00011352474],"about_ca_topic_score_codex":0.003898461,"about_ca_topic_score_gemma":0.0075539616,"teacher_disagreement_score":0.12337307,"about_ca_system_score_codex":0.00006592296,"about_ca_system_score_gemma":0.00063130376,"threshold_uncertainty_score":0.58933324},"labels":[],"label_agreement":null},{"id":"W4410232416","doi":"10.3138/cpp.2024-040","title":"Beyond the City Limits: Analysis of Federal Funding of Public Transit in Rural Canada","year":2025,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Dalhousie University; University of Guelph; Selkirk College","funders":"","keywords":"Transit (satellite); Public transport; Public administration; Political science; Regional science; Business; Geography","score_opus":0.03233204523821281,"score_gpt":0.2972993209501053,"score_spread":0.2649672757118925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410232416","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8862062,0.0001713051,0.000016865377,0.052653264,0.00012251367,0.00015542818,0.00022048985,0.000008629875,0.060445316],"genre_scores_gemma":[0.99741966,0.000011025646,0.0000048976035,0.0015366075,0.00006257462,0.0000080553045,0.000035080564,0.000004118131,0.0009179637],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99818456,0.00018041665,0.00041920316,0.00018154258,0.00030926906,0.00072500866],"domain_scores_gemma":[0.9988198,0.00013552218,0.0001086243,0.0002975443,0.00018820423,0.00045028367],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009649242,0.0001098522,0.00034272383,0.0013402872,0.00043596566,0.00012451949,0.000732018,0.00010300026,0.0002969573],"category_scores_gemma":[0.00051078375,0.0000971598,0.0001479676,0.0073109646,0.00041619156,0.00033949796,0.000011358743,0.00016778364,1.7860565e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000015874541,0.000014978852,0.90392154,0.000010033468,0.00016911073,0.0000016554089,0.0013423995,0.0000038404382,0.000005293617,0.08815267,0.00089365727,0.0054832506],"study_design_scores_gemma":[0.00013878221,0.0000033613499,0.9788109,0.000007307721,0.000065820765,3.1326326e-8,0.0026838246,0.000051626255,0.000013376018,0.0015784659,0.016550466,0.000096004376],"about_ca_topic_score_codex":0.99954474,"about_ca_topic_score_gemma":0.99999255,"teacher_disagreement_score":0.11121349,"about_ca_system_score_codex":0.001344694,"about_ca_system_score_gemma":0.0324937,"threshold_uncertainty_score":0.97299117},"labels":[],"label_agreement":null},{"id":"W4410287628","doi":"10.1080/24694452.2025.2495075","title":"Multimodal Accessibility and the Capitalization of Realized Access by Car and Transit in Housing Prices Across Canada","year":2025,"lang":"en","type":"article","venue":"Annals of the American Association of Geographers","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Capitalization; Transit (satellite); Business; Transport engineering; Public transport; Transit-oriented development; Economic geography; Regional science; Geography; Engineering","score_opus":0.011388563201819768,"score_gpt":0.33422007031316026,"score_spread":0.3228315071113405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410287628","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9943051,0.0004467393,0.000029659916,0.004494337,0.000051083825,0.00029974856,0.00009148601,0.0000056112026,0.00027624186],"genre_scores_gemma":[0.9991709,0.0004936622,0.000017432762,0.0002744871,0.000004694223,0.00000518665,0.000003779062,0.0000030618346,0.000026809916],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99848914,0.00037537675,0.00041420758,0.00016905156,0.00036564242,0.00018655372],"domain_scores_gemma":[0.9982065,0.00040007036,0.00097505254,0.00015312347,0.00023645324,0.000028793596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016202625,0.000081929466,0.0003571045,0.00003242733,0.00019925174,0.000035500114,0.00034494797,0.00004404792,0.0000034936875],"category_scores_gemma":[0.00036555776,0.00005816885,0.00008598338,0.0010780218,0.0011939794,0.00023203541,0.00004000022,0.00007576195,3.1473988e-9],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010879269,0.00003425959,0.9925641,0.00003716145,0.00006377154,3.5126508e-8,0.003882295,0.000032911274,0.00007105492,0.000074188414,0.00015996546,0.0029714988],"study_design_scores_gemma":[0.0005548899,0.0000075636917,0.9934431,0.000032606637,0.000030886833,3.1176923e-9,0.004437102,0.000053371914,0.00071685086,0.0005511632,0.00011835294,0.00005415978],"about_ca_topic_score_codex":0.91281664,"about_ca_topic_score_gemma":0.8666589,"teacher_disagreement_score":0.046157718,"about_ca_system_score_codex":0.00004482496,"about_ca_system_score_gemma":0.00020465557,"threshold_uncertainty_score":0.4399267},"labels":[],"label_agreement":null},{"id":"W4410290156","doi":"10.1007/s11116-025-10622-9","title":"Does easy mean happy? Exploring the impact of ease of travel on travel satisfaction","year":2025,"lang":"en","type":"article","venue":"Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Travel behavior; Transport engineering; Marketing; Advertising; Psychology; Economic geography; Business; Geography; Engineering","score_opus":0.03837498230385568,"score_gpt":0.3240200847126535,"score_spread":0.2856451024087978,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410290156","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952611,0.000018566727,0.0010591913,0.00013547076,0.00022286751,0.00030654744,0.00007560827,0.000022383272,0.0028982882],"genre_scores_gemma":[0.9996407,0.000037867598,0.000035815992,0.0000099567615,0.000037763384,0.000020410913,0.000022902572,0.0000057816774,0.0001888129],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99894565,0.000065358494,0.0003733745,0.00017213196,0.0002934846,0.00014997768],"domain_scores_gemma":[0.99942046,0.0001250489,0.00014753579,0.00016658034,0.00009840247,0.0000419624],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003923753,0.000102955324,0.00018916411,0.000085302054,0.00019737626,0.000011455252,0.00013878114,0.000055693727,0.0001328982],"category_scores_gemma":[0.00002425166,0.000058734135,0.00019574171,0.0003804929,0.000188213,0.00028740818,5.7077705e-7,0.00010164511,0.0000010051381],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022445827,0.00013501332,0.9462444,0.0000790752,0.000063515574,8.35648e-7,0.02793154,0.00031187924,0.0050835693,0.008988123,0.000013889592,0.010923703],"study_design_scores_gemma":[0.00023330067,0.00004235936,0.9822855,0.00007534521,0.000056497338,4.195618e-9,0.0041586272,0.000016493925,0.011206972,0.0018486425,0.000010656686,0.00006560979],"about_ca_topic_score_codex":0.032723513,"about_ca_topic_score_gemma":0.03658828,"teacher_disagreement_score":0.036041092,"about_ca_system_score_codex":0.000051921048,"about_ca_system_score_gemma":0.00013900726,"threshold_uncertainty_score":0.9809915},"labels":[],"label_agreement":null},{"id":"W4410350966","doi":"10.2139/ssrn.5254957","title":"Evaluating Effects of Transportation Policy Levers on Air Quality, Equity and Accessibility","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Equity (law); Business; Quality (philosophy); Transport engineering; Public economics; Environmental economics; Finance; Economics; Engineering; Political science","score_opus":0.06312509604454303,"score_gpt":0.4598204751162114,"score_spread":0.39669537907166835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410350966","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9913643,0.0014581471,0.0013020806,0.0014604176,0.00049447117,0.000665401,0.000052099866,0.00005123937,0.003151859],"genre_scores_gemma":[0.99682474,0.0018819588,0.000102280224,0.00012759648,0.00040562998,0.00001546266,0.000025907191,0.000011867704,0.0006045322],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9948217,0.0009156174,0.0008898466,0.0005929937,0.0011388888,0.0016409213],"domain_scores_gemma":[0.99782825,0.0004957119,0.0008635218,0.00035561767,0.00030411562,0.00015279808],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.011173533,0.00029971445,0.00061251136,0.00025553757,0.0005724154,0.00009735016,0.00083871756,0.0004240589,0.000016946356],"category_scores_gemma":[0.0008294769,0.00028556338,0.0003310944,0.0003756574,0.0003649166,0.0002795714,0.00013440281,0.0032352793,6.623922e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00070349465,0.0006972301,0.36129934,0.0029061656,0.00065712567,0.000004421237,0.01456878,0.00044690326,0.00038674148,0.32709795,0.000020946969,0.29121092],"study_design_scores_gemma":[0.00069048663,0.00017757004,0.3536594,0.00035661005,0.00016607835,2.2124178e-7,0.0011475603,0.000014708118,0.00032403425,0.6431826,0.00003335905,0.00024742828],"about_ca_topic_score_codex":0.016003987,"about_ca_topic_score_gemma":0.053929206,"teacher_disagreement_score":0.31608462,"about_ca_system_score_codex":0.0020086907,"about_ca_system_score_gemma":0.017254062,"threshold_uncertainty_score":0.99995965},"labels":[],"label_agreement":null},{"id":"W4410397362","doi":"10.1016/j.cstp.2025.101480","title":"Measuring the impacts of a major metro disruption in Montréal, Canada, on riders’ satisfaction and willingness to recommend the service to others","year":2025,"lang":"en","type":"article","venue":"Case Studies on Transport Policy","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"MAB-Mackay Rehabilitation Centre; McGill University","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Fonds de Recherche du Québec-Société et Culture","keywords":"Business; Service (business); Marketing; Willingness to pay; Advertising; Transport engineering; Engineering; Economics","score_opus":0.03525263190224805,"score_gpt":0.3312879334783509,"score_spread":0.29603530157610286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410397362","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95323366,0.00037408012,0.000016435482,0.044836648,0.00017037227,0.0006218571,0.000042957323,0.00001435906,0.00068961614],"genre_scores_gemma":[0.9966748,0.000100072866,0.0000106304915,0.0030307157,0.000068421155,0.000052544787,9.957362e-7,0.000007657477,0.000054189695],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987955,0.000102497186,0.00031718423,0.00024630726,0.00025924706,0.00027924308],"domain_scores_gemma":[0.9992601,0.00025737257,0.000072979754,0.00021980518,0.000094932904,0.00009478131],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007283339,0.0001474552,0.00024342812,0.00012500082,0.0005914859,0.000017191873,0.00012517572,0.00003963667,0.000004223162],"category_scores_gemma":[0.00014324482,0.000094060066,0.000043705186,0.0010553724,0.000101961225,0.00007858996,0.000009725609,0.00014005526,5.1569424e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005769133,0.000099956815,0.8363799,0.0002531349,0.00027703465,0.00013893873,0.14166078,0.0015342063,0.00016820895,0.0026252891,0.00075692416,0.01552871],"study_design_scores_gemma":[0.0003776507,0.00005576657,0.9425546,0.00020134976,0.00006982948,9.605417e-7,0.054414295,0.0000059968943,0.00042445472,0.0002787838,0.0014683672,0.00014796334],"about_ca_topic_score_codex":0.9532171,"about_ca_topic_score_gemma":0.99880093,"teacher_disagreement_score":0.10617468,"about_ca_system_score_codex":0.0004282653,"about_ca_system_score_gemma":0.00029926663,"threshold_uncertainty_score":0.4549291},"labels":[],"label_agreement":null},{"id":"W4410435410","doi":"10.5198/jtlu.2025.2612","title":"Walkability indices and travel behavior: Insights from Montréal, Canada","year":2025,"lang":"en","type":"article","venue":"Journal of Transport and Land Use","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Fonds de Recherche du Québec-Société et Culture","keywords":"Walkability; Transport engineering; Geography; Built environment; Engineering; Civil engineering","score_opus":0.012350179787227838,"score_gpt":0.24731888451067774,"score_spread":0.2349687047234499,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410435410","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99530095,0.0034686965,0.000030045161,0.0005254477,0.00024946913,0.00009597382,0.00004741098,0.0000052863898,0.00027671646],"genre_scores_gemma":[0.99881846,0.00074415945,0.00006919338,0.00011899972,0.00007769957,0.0000011604714,0.00000772103,0.0000031130662,0.00015947617],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990487,0.00003920878,0.00038112974,0.00013952305,0.00025723703,0.00013417492],"domain_scores_gemma":[0.99943835,0.00010258909,0.00013062145,0.00008010961,0.00008354204,0.00016477195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020388757,0.00009802921,0.00027269486,0.000055752964,0.00024437773,0.00005181858,0.00011783737,0.00008770885,0.000035037185],"category_scores_gemma":[0.00001523291,0.00007199716,0.000057429155,0.00011294799,0.00014980901,0.00040726113,0.0000036922083,0.00018994561,5.332983e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007292715,0.00006312677,0.9961719,0.000014346554,0.000033085635,0.0000648342,0.002148239,4.4176107e-7,0.000035636596,0.00006409411,0.00013882916,0.0011925682],"study_design_scores_gemma":[0.00049769727,0.000018723316,0.98214245,0.000039193856,0.00016463031,4.9088624e-7,0.00085713697,0.0000013368068,0.000040734,0.00056147226,0.015594705,0.00008141687],"about_ca_topic_score_codex":0.81517184,"about_ca_topic_score_gemma":0.9761732,"teacher_disagreement_score":0.16100137,"about_ca_system_score_codex":0.00003853178,"about_ca_system_score_gemma":0.0004920428,"threshold_uncertainty_score":0.29359588},"labels":[],"label_agreement":null},{"id":"W4410457316","doi":"10.1016/j.jth.2025.102079","title":"Active mobility can mediate the association between the perceived environment and quality of life: a cross-sectional study in Brazil","year":2025,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Economic and Social Research Council; Fundação de Apoio à Pesquisa do Distrito Federal; Battelle","keywords":"Cross-sectional study; Association (psychology); Quality of life (healthcare); Environmental health; Psychology; Quality (philosophy); Gerontology; Medicine; Physics","score_opus":0.044878213026908774,"score_gpt":0.3874250715615002,"score_spread":0.34254685853459144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410457316","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9925998,0.00021058528,0.000034116856,0.0062243273,0.00015585119,0.0005878982,0.00007186464,0.000004183562,0.00011140629],"genre_scores_gemma":[0.9993529,0.00023641645,0.000010515221,0.00021803366,0.000115295144,0.0000067953038,0.0000035650964,0.0000032311204,0.00005326011],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99664557,0.0008811582,0.0012430132,0.00017411272,0.0008237997,0.00023233917],"domain_scores_gemma":[0.9980525,0.0006509229,0.00090924645,0.00014467973,0.00012539348,0.00011728521],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011576235,0.00009638966,0.0004272021,0.00006301376,0.0004828248,0.00002446297,0.00029482422,0.00008881702,0.00003901875],"category_scores_gemma":[0.00016235365,0.000059725844,0.00013436115,0.000251365,0.0003099328,0.0001844164,0.000008112829,0.0005182614,1.4759948e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015995682,0.00031892708,0.977482,0.000035992543,0.000088159504,4.329439e-7,0.021353586,0.000026056185,0.0000057047814,0.00003260316,0.0000047670605,0.0004918092],"study_design_scores_gemma":[0.0008201234,0.00009158091,0.99380624,0.00001518646,0.000035299327,2.9450588e-8,0.004518437,6.7101183e-7,0.0000035074263,0.0005205487,0.00014287075,0.00004547809],"about_ca_topic_score_codex":0.024317186,"about_ca_topic_score_gemma":0.07932198,"teacher_disagreement_score":0.055004794,"about_ca_system_score_codex":0.00064846483,"about_ca_system_score_gemma":0.0012881154,"threshold_uncertainty_score":0.98217994},"labels":[],"label_agreement":null},{"id":"W4410465820","doi":"10.1016/j.geomat.2025.100060","title":"Testing a generalized model to map bicycle ridership using crowdsourced data in a racially diverse city","year":2025,"lang":"en","type":"article","venue":"GEOMATICA","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Héma-Québec; Simon Fraser University","funders":"","keywords":"Computer science; Transport engineering; Geography; Engineering","score_opus":0.20250639586750024,"score_gpt":0.3918819149757898,"score_spread":0.18937551910828954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410465820","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.984373,0.000030443034,0.008750919,0.0011983055,0.00009930511,0.00039207478,0.000031039075,0.00009147694,0.005033463],"genre_scores_gemma":[0.96948814,5.5951784e-7,0.029502546,0.00036796505,0.000061823775,0.000007816551,0.000011896992,0.00000624386,0.0005530301],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99849087,0.00011813525,0.0003258159,0.00038280556,0.0002765905,0.0004057539],"domain_scores_gemma":[0.99907064,0.00015715325,0.00006459144,0.00052689994,0.0000651649,0.00011555762],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011813407,0.00011145963,0.00022015242,0.00013157811,0.0004263241,0.00012885076,0.00073917,0.000081599304,0.00012347211],"category_scores_gemma":[0.0010229312,0.00011560955,0.000036270652,0.0007997394,0.00012278598,0.00035382799,0.00022552311,0.000109877736,0.000012391407],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007165903,0.00018246166,0.9732739,0.00012998593,0.000026235975,0.000013367951,0.013233519,0.0046664085,0.0018256855,0.0012510658,0.0007299167,0.004595798],"study_design_scores_gemma":[0.0014886544,0.000018130226,0.42960662,0.00045860687,0.00013389676,1.2126617e-7,0.0034879204,0.52511775,0.0001581937,0.03762587,0.0012608086,0.00064342975],"about_ca_topic_score_codex":0.013396078,"about_ca_topic_score_gemma":0.017172422,"teacher_disagreement_score":0.54366726,"about_ca_system_score_codex":0.00010931075,"about_ca_system_score_gemma":0.00043923766,"threshold_uncertainty_score":0.9931738},"labels":[],"label_agreement":null},{"id":"W4410564998","doi":"10.24095/hpcdp.45.5.03","title":"The contribution of active transportation to population physical activity levels","year":2025,"lang":"en","type":"article","venue":"Health Promotion and Chronic Disease Prevention in Canada","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Public Health Agency of Canada; University of Ottawa","funders":"","keywords":"Confidence interval; Physical activity; Recreation; Odds ratio; Demography; Medicine; Confounding; Population; Occupational safety and health; Environmental health; Gerontology; Physical therapy; Internal medicine; Biology; Ecology","score_opus":0.027235294831157292,"score_gpt":0.37461292555428444,"score_spread":0.34737763072312716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410564998","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9895533,0.00013021313,0.0010705983,0.008159725,0.00016643324,0.0008029079,0.00004645792,0.0000091829,0.000061201834],"genre_scores_gemma":[0.99965596,0.000040462808,0.0000031970224,0.00003901972,0.000026999027,0.0000596961,0.00003932368,0.0000018794959,0.00013347373],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.999033,0.00022851337,0.00019233557,0.00015346198,0.00021851933,0.00017419345],"domain_scores_gemma":[0.99956864,0.00004758816,0.00011715884,0.000076240794,0.000067275505,0.00012311972],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003452298,0.00005477967,0.00011087093,0.00003298751,0.0003518675,0.000012277989,0.000054182397,0.000019606732,0.00001741125],"category_scores_gemma":[0.000040375096,0.000049371698,0.00002867201,0.00026380146,0.000040277842,0.00015293297,0.000003188025,0.00006853761,1.3813073e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002764408,0.00052775076,0.40285543,0.00040478838,0.000022561533,8.455649e-7,0.0013773271,0.00015829907,0.000039090763,0.035138108,0.00021426799,0.5589851],"study_design_scores_gemma":[0.00030270428,0.000025136038,0.99403656,0.00012388085,0.0000090759995,2.8965543e-9,0.00020507602,0.00021311856,0.000050819326,0.0043607918,0.0006325698,0.00004029138],"about_ca_topic_score_codex":0.7092134,"about_ca_topic_score_gemma":0.99315107,"teacher_disagreement_score":0.5911811,"about_ca_system_score_codex":0.0014859744,"about_ca_system_score_gemma":0.0049542836,"threshold_uncertainty_score":0.87886864},"labels":[],"label_agreement":null},{"id":"W4410577089","doi":"10.1016/j.jpubtr.2025.100122","title":"Counting in: A methodological framework for the accessibility assessment of on-demand transit","year":2025,"lang":"en","type":"article","venue":"Journal of Public Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Transit (satellite); Transport engineering; Computer science; Public transport; Engineering","score_opus":0.15351293962789433,"score_gpt":0.4677539846023466,"score_spread":0.31424104497445227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410577089","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5767283,0.00014996654,0.41753492,0.0046746978,0.0002753249,0.00026014095,0.000009426767,0.0000060006337,0.0003612308],"genre_scores_gemma":[0.9861707,0.00006477759,0.013482822,0.00014967598,0.00009388552,0.000012830376,0.0000036547813,0.0000034669151,0.000018205574],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979961,0.00033201088,0.0008734059,0.00015133937,0.00045030395,0.0001968249],"domain_scores_gemma":[0.99634194,0.0025690652,0.0005051124,0.00012290088,0.000410713,0.000050256414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009001968,0.00008693109,0.0003274753,0.00015101895,0.00019884422,0.00006180993,0.00038398194,0.00014870778,0.000069019894],"category_scores_gemma":[0.0007008853,0.00005689138,0.00023417255,0.00062697066,0.00019804735,0.00045548752,0.0000012135439,0.0003462457,4.319573e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001266233,0.00027490206,0.87394154,0.00009291811,0.00005715797,0.0000018356566,0.0028374163,0.0002579449,0.000089860994,0.1122062,0.000024732088,0.0100888675],"study_design_scores_gemma":[0.0004963562,0.00006212035,0.9402133,0.00009597681,0.000070106085,3.8248665e-8,0.0019403561,0.00008463637,0.000088473855,0.056123648,0.0007753289,0.000049629045],"about_ca_topic_score_codex":0.0001353133,"about_ca_topic_score_gemma":0.0022735433,"teacher_disagreement_score":0.4094424,"about_ca_system_score_codex":0.00008654158,"about_ca_system_score_gemma":0.0005907611,"threshold_uncertainty_score":0.31199205},"labels":[],"label_agreement":null},{"id":"W4410586476","doi":"10.1016/j.tbs.2025.101054","title":"Using Realtime GTFS to generate easy-to-use transit accessibility measures under travel time uncertainty","year":2025,"lang":"en","type":"article","venue":"Travel Behaviour and Society","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Transit (satellite); Travel time; Transport engineering; Computer science; Business; Computer security; Public transport; Engineering","score_opus":0.07142856185731147,"score_gpt":0.3494304302318764,"score_spread":0.278001868374565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410586476","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9751935,0.00008114633,0.020658268,0.0010792585,0.00021471424,0.0008769514,0.00014968282,0.00012012794,0.00162636],"genre_scores_gemma":[0.99078494,0.000035207726,0.002736842,0.0016516703,0.00009116663,0.000025797508,0.000024722905,0.000024097848,0.004625552],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970086,0.00024331173,0.00053712213,0.00089914596,0.0005647085,0.00074708654],"domain_scores_gemma":[0.99856836,0.00010786953,0.00007580723,0.0004250859,0.00027810555,0.00054478465],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0015233144,0.00034245025,0.0005277458,0.00007619402,0.0013001208,0.00037430116,0.00044776386,0.00035005313,0.00019465796],"category_scores_gemma":[0.00004722569,0.00032751999,0.00034632455,0.00083555473,0.00039632843,0.00045461114,0.00004909028,0.00033308618,0.000011023336],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027516062,0.00084155955,0.87419665,0.00011775486,0.00024515297,0.000011738073,0.06885388,0.0007520437,0.043277584,0.002356177,0.002500667,0.0065716077],"study_design_scores_gemma":[0.00054847193,0.000029566827,0.99291164,0.000052133044,0.00020436368,2.6496863e-7,0.0035348025,0.00044778176,0.0009801126,0.00066148274,0.00020590023,0.00042347828],"about_ca_topic_score_codex":0.018174067,"about_ca_topic_score_gemma":0.0037483298,"teacher_disagreement_score":0.118714966,"about_ca_system_score_codex":0.00032870026,"about_ca_system_score_gemma":0.00060314813,"threshold_uncertainty_score":0.99996096},"labels":[],"label_agreement":null},{"id":"W4410592606","doi":"10.1016/j.jth.2025.102075","title":"Enhancing walkability/rollability audit tools to address qualitative measures for accessibility","year":2025,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"Social Sciences and Humanities Research Council; Social Sciences and Humanities Research Council of Canada","keywords":"Walkability; Audit; Business; Environmental planning; Built environment; Geography; Accounting; Engineering; Civil engineering","score_opus":0.08154613766385617,"score_gpt":0.4464189023508052,"score_spread":0.36487276468694907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410592606","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92150396,0.0010569774,0.047876384,0.024676558,0.0013406033,0.0020685575,0.0002035285,0.000066316825,0.0012071413],"genre_scores_gemma":[0.9930809,0.000073270574,0.004714502,0.0013732432,0.0003566322,0.00004856348,0.000011040959,0.000015567639,0.00032625414],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9942488,0.00090920983,0.0024222818,0.00058986014,0.0010133075,0.0008165441],"domain_scores_gemma":[0.99506813,0.0013491731,0.0008608121,0.0004842504,0.0015743512,0.0006633095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.020098863,0.0002797527,0.0011374538,0.00026074582,0.0008968798,0.00010092508,0.00090950483,0.0002013604,0.00015375427],"category_scores_gemma":[0.0018682417,0.00024414973,0.0006099659,0.0010044477,0.0003640295,0.0010054385,0.000015245887,0.00050214876,0.0000020313546],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00388227,0.0019488675,0.6624065,0.0027154933,0.00034553622,0.000011246306,0.2605492,0.0001046134,0.00081214256,0.0044016307,0.0025276563,0.060294833],"study_design_scores_gemma":[0.0017012649,0.0005827799,0.8996976,0.0006323865,0.0001459343,3.9789614e-7,0.021925395,0.0000023771433,0.0017386342,0.023015447,0.0501471,0.000410678],"about_ca_topic_score_codex":0.0028997916,"about_ca_topic_score_gemma":0.044740714,"teacher_disagreement_score":0.2386238,"about_ca_system_score_codex":0.0010200216,"about_ca_system_score_gemma":0.0059124553,"threshold_uncertainty_score":0.9997231},"labels":[],"label_agreement":null},{"id":"W4410636189","doi":"10.1016/j.tbs.2025.101074","title":"Getting around on foot: Older adults’ walking experiences and perspectives on neighbourhood walkability across Canada","year":2025,"lang":"en","type":"article","venue":"Travel Behaviour and Society","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Concordia University; McGill University","funders":"National Research Council Canada; Fonds de Recherche du Québec-Société et Culture","keywords":"Walkability; Neighbourhood (mathematics); Gerontology; Human factors and ergonomics; Injury prevention; Suicide prevention; Poison control; Geography; Psychology; Physical medicine and rehabilitation; Environmental health; Medicine; Physical activity","score_opus":0.014337459902598299,"score_gpt":0.2917850856429994,"score_spread":0.27744762574040105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410636189","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951681,0.0003803139,0.00001910733,0.00073018734,0.0002115758,0.00030971403,0.000027110476,0.000043922762,0.003109983],"genre_scores_gemma":[0.9990369,0.000074579264,0.00006017508,0.00032350712,0.00009596688,0.000034188928,0.0000031981049,0.000007658042,0.0003638315],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99823385,0.00006351494,0.00023972183,0.00062321645,0.00037003102,0.00046966123],"domain_scores_gemma":[0.999346,0.00019016977,0.000069338326,0.00015965044,0.00008731905,0.00014751434],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00059181073,0.00020070476,0.00024809013,0.000010521047,0.0016963956,0.00020485393,0.00018236284,0.00015054828,0.00006072335],"category_scores_gemma":[0.000049383558,0.0001788254,0.00011327873,0.00019213195,0.0006068175,0.00019063552,0.00003074501,0.00030808535,1.9900207e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002003778,0.00011859433,0.6071197,0.000026247073,0.000014835696,0.0000018494794,0.38326904,1.7767056e-7,0.000012201339,0.00082815194,0.00006481057,0.008524397],"study_design_scores_gemma":[0.00026726324,0.000020167754,0.5617622,0.000048789818,0.000012388701,8.074265e-8,0.43755406,0.000007982963,0.000101616664,0.00008861102,0.000017142213,0.00011969541],"about_ca_topic_score_codex":0.3592319,"about_ca_topic_score_gemma":0.29860726,"teacher_disagreement_score":0.060624648,"about_ca_system_score_codex":0.00024027344,"about_ca_system_score_gemma":0.00024657798,"threshold_uncertainty_score":0.9996033},"labels":[],"label_agreement":null},{"id":"W4410699113","doi":"10.1016/j.tranpol.2025.05.023","title":"Navigating municipal dynamics: unraveling the political threads in Canadian transport decarbonization policies","year":2025,"lang":"en","type":"article","venue":"Transport Policy","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Concordia University; Université du Québec à Montréal; University of Waterloo; Institut National de la Recherche Scientifique","funders":"Government of Canada","keywords":"Politics; Transport policy; Dynamics (music); Political science; Business; Transport engineering; Economic geography; Economics; Engineering; Public transport; Sociology","score_opus":0.01695774550227363,"score_gpt":0.351690335971195,"score_spread":0.33473259046892134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410699113","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89836824,0.0001200006,0.00027200935,0.036186703,0.0001634713,0.0004426015,0.00008367298,0.00010738856,0.06425589],"genre_scores_gemma":[0.99685943,0.000038087408,0.000052631603,0.0020587246,0.00028113995,0.000030494564,0.00013086872,0.000022031896,0.0005265856],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99704826,0.000111252164,0.0006317578,0.000373776,0.00037363468,0.0014613207],"domain_scores_gemma":[0.99893004,0.00011179794,0.00006286157,0.00037889724,0.0000978994,0.00041851617],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009037623,0.0002372984,0.0003138926,0.00025723272,0.0008018648,0.000050805756,0.0006915743,0.0002595611,0.000079222234],"category_scores_gemma":[0.00007894897,0.0002104711,0.00015576008,0.0020982695,0.0005981474,0.00026005882,0.0000068333866,0.0006032174,0.000005164067],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000072394173,0.000026615011,0.66751957,0.000018634875,0.000011049431,0.000009398545,0.011012611,0.00008743042,0.000003322025,0.32037628,0.0000019470278,0.000925943],"study_design_scores_gemma":[0.00036684173,0.000009811163,0.968217,0.00017668236,0.00005758008,3.984668e-7,0.01036753,0.0007223575,0.00004573985,0.016959582,0.0027878159,0.00028864192],"about_ca_topic_score_codex":0.98994344,"about_ca_topic_score_gemma":0.99727285,"teacher_disagreement_score":0.3034167,"about_ca_system_score_codex":0.0015261794,"about_ca_system_score_gemma":0.003302171,"threshold_uncertainty_score":0.85827625},"labels":[],"label_agreement":null},{"id":"W4410719581","doi":"10.1080/23800127.2025.2510124","title":"Beyond destination accessibility: tourism infrastructure across mobilities, technologies and embodiments","year":2025,"lang":"en","type":"article","venue":"Applied Mobilities","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"H2020 Marie Skłodowska-Curie Actions; Agencia Estatal de Investigación; Horizon 2020 Framework Programme; Ministerio de Ciencia e Innovación; European Commission","keywords":"Mobilities; Tourism; Business; Economic geography; Transport infrastructure; Regional science; Geography; Transport engineering; Sociology; Engineering","score_opus":0.008854608456124716,"score_gpt":0.296938816287627,"score_spread":0.2880842078315023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410719581","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94021755,0.00087633025,0.00013894097,0.0004924394,0.00027949712,0.0008771392,0.000047621834,0.0006488913,0.05642158],"genre_scores_gemma":[0.99573046,0.00009788737,0.000687058,0.00016588859,0.00006067593,0.00028313277,0.000023942932,0.000012143818,0.0029388072],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978651,0.00006493159,0.00044812393,0.0006808984,0.00035855433,0.00058241934],"domain_scores_gemma":[0.99885005,0.00031934885,0.000118517884,0.0005106861,0.00013169213,0.00006971782],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00085347705,0.0002609474,0.0003470516,0.000118639495,0.0010685407,0.00029371583,0.0005175438,0.00035538417,0.00010328817],"category_scores_gemma":[0.00023136413,0.00024589992,0.00006548688,0.00050912163,0.0020414945,0.0005068547,0.00022056127,0.0003114327,0.0000033743565],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027849627,0.00026179318,0.4856476,0.0005830661,0.00010519629,0.0000046422024,0.03509887,0.000017361437,0.0005563745,0.24260543,0.0019739375,0.23286724],"study_design_scores_gemma":[0.0005654069,0.00005062451,0.18960658,0.000041413514,0.000038648304,1.8833697e-7,0.12712085,0.0000101975465,0.0034468914,0.670401,0.008364291,0.0003539194],"about_ca_topic_score_codex":0.00076060556,"about_ca_topic_score_gemma":0.0027398025,"teacher_disagreement_score":0.42779556,"about_ca_system_score_codex":0.00022957817,"about_ca_system_score_gemma":0.00025593722,"threshold_uncertainty_score":0.99999934},"labels":[],"label_agreement":null},{"id":"W4410731859","doi":"10.1016/j.tra.2025.104503","title":"Towards completely caring 15-minute neighbourhoods","year":2025,"lang":"en","type":"article","venue":"Transportation Research Part A Policy and Practice","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council; Social Sciences and Humanities Research Council of Canada","keywords":"Transport engineering; Business; Engineering","score_opus":0.17357754206510614,"score_gpt":0.5005514905271959,"score_spread":0.3269739484620898,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410731859","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2837773,0.0010523436,0.0015433127,0.101166226,0.000296759,0.0009962677,0.00011368861,0.0001979898,0.6108561],"genre_scores_gemma":[0.99148214,0.00069388805,0.000490514,0.0009916462,0.00033933567,0.000049429655,0.000036236976,0.0000085330985,0.0059082615],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9972581,0.0007656247,0.00032810867,0.0003543348,0.00071303884,0.0005807728],"domain_scores_gemma":[0.9972739,0.0017616241,0.0000739425,0.00021044476,0.00045038763,0.00022966272],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038814596,0.00011636835,0.00018104454,0.00028886113,0.0012568642,0.0002310637,0.000260414,0.00012883975,0.00027429694],"category_scores_gemma":[0.0018044199,0.00011838245,0.000059769005,0.0013460839,0.0006234793,0.0009971161,0.000009551053,0.00047731,0.000018302742],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00064357475,0.00028855284,0.08387197,0.00022456,0.00013264995,0.000050664017,0.035279527,0.00001447504,0.00017605502,0.8389801,0.006768009,0.0335699],"study_design_scores_gemma":[0.0003615547,0.000034274362,0.2524898,0.00004681055,0.00003787181,1.8999077e-7,0.0041163103,0.000014486125,0.00007947428,0.010013842,0.73268765,0.00011773884],"about_ca_topic_score_codex":0.0695042,"about_ca_topic_score_gemma":0.029845674,"teacher_disagreement_score":0.8289662,"about_ca_system_score_codex":0.0000897372,"about_ca_system_score_gemma":0.0012344564,"threshold_uncertainty_score":0.9878571},"labels":[],"label_agreement":null},{"id":"W4410796888","doi":"10.1177/03611981251326098","title":"Modeling Households’ First Vehicle Purchase Timing and Vehicle Type Choices","year":2025,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Relocation; Vehicle type; Duration (music); Car ownership; Residence; Discrete choice; Nested logit; Consumption (sociology); Econometrics; Computer science; Transport engineering; Economics; Demographic economics; Engineering","score_opus":0.14003733321587872,"score_gpt":0.42196556557767595,"score_spread":0.2819282323617972,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410796888","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.989252,0.00081758667,0.0008489118,0.0070599457,0.000514122,0.00077623385,0.000022571196,0.00004564795,0.00066301454],"genre_scores_gemma":[0.9957762,0.0017872046,0.00045956875,0.000076028075,0.00020024276,0.000028248605,0.0000066485063,0.000029410616,0.0016364931],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9939687,0.0008814784,0.0010997116,0.00045144127,0.0026894077,0.0009092356],"domain_scores_gemma":[0.99530965,0.00083281856,0.00021690261,0.0003867787,0.0028632097,0.00039063802],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0058330214,0.00020518759,0.0003941898,0.000656076,0.00229025,0.0002996779,0.0010920593,0.00023435052,0.00019863469],"category_scores_gemma":[0.00034673844,0.00016648405,0.00024073731,0.0028061771,0.0011105415,0.0010721189,0.000010297734,0.0017857848,0.000007864655],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001101588,0.000266412,0.972494,0.00031738335,0.00011961135,0.00005331518,0.009725144,0.0024574157,0.0009941423,0.0052007427,0.0010203652,0.0062498823],"study_design_scores_gemma":[0.0015884486,0.00022269636,0.96216476,0.00058132684,0.00008198746,4.7328225e-8,0.0062160217,0.002587365,0.0004601689,0.0062939664,0.01957582,0.00022741797],"about_ca_topic_score_codex":0.054839183,"about_ca_topic_score_gemma":0.26104754,"teacher_disagreement_score":0.20620835,"about_ca_system_score_codex":0.00023994935,"about_ca_system_score_gemma":0.001053146,"threshold_uncertainty_score":0.99900866},"labels":[],"label_agreement":null},{"id":"W4410834711","doi":"10.17576/jkukm-2025-37(3)-13","title":"The Relationship between Walkability and The Built Environment: The Bibliometric Analysis","year":2025,"lang":"en","type":"article","venue":"Jurnal Kejuruteraan","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Cancer Institute; Universiti Malaya","keywords":"Walkability; Computer science; Built environment; Civil engineering; Engineering","score_opus":0.03772266208353588,"score_gpt":0.3314921285332184,"score_spread":0.29376946644968255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410834711","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96892464,0.001810094,0.0006956038,0.021008654,0.00011048586,0.00032213674,0.000010126274,0.00002400205,0.007094268],"genre_scores_gemma":[0.9973583,0.00023840868,0.0000189657,0.00019409001,0.00016291626,0.000021681235,0.0000036676965,0.000003287473,0.0019986783],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99792093,0.00070728245,0.00037676533,0.0002485073,0.00047169326,0.0002748464],"domain_scores_gemma":[0.99367034,0.0055727586,0.00013751531,0.000505636,0.000041348732,0.00007241226],"candidate_categories":["bibliometrics","sts"],"consensus_categories":[],"category_scores_codex":[0.004603775,0.000108657354,0.00019832264,0.0025203638,0.0032913224,0.00052684825,0.0007131544,0.000077223885,0.00005218227],"category_scores_gemma":[0.00070171495,0.00004785847,0.00023106512,0.038382743,0.001497115,0.00022410773,0.00007636109,0.0003570454,0.0000072897537],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020795358,0.0000131864035,0.9730968,0.0000032742917,0.00014474987,2.4595047e-7,0.0009985036,0.0000028736458,3.183348e-7,0.011397598,0.00013670942,0.014184937],"study_design_scores_gemma":[0.00023390392,0.000004460317,0.9416322,0.000003495664,0.00042313206,3.5446924e-8,0.0002870205,0.000029664701,0.0000021596468,0.03214438,0.025182953,0.000056583813],"about_ca_topic_score_codex":0.0019355185,"about_ca_topic_score_gemma":0.0019896927,"teacher_disagreement_score":0.03586238,"about_ca_system_score_codex":0.000069866845,"about_ca_system_score_gemma":0.000075793774,"threshold_uncertainty_score":0.9980063},"labels":[{"model":"gemma","categories":["bibliometrics"],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":["bibliometrics"],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high"}],"label_agreement":"agree"},{"id":"W4410859796","doi":"10.1080/07352166.2025.2507951","title":"Transportation barriers and equity: Values and experiences of elected officials","year":2025,"lang":"en","type":"article","venue":"Journal of Urban Affairs","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo; University of Manitoba","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Equity (law); Business; Public administration; Public economics; Political science; Finance; Economics; Law","score_opus":0.013268682139425432,"score_gpt":0.312270574594907,"score_spread":0.29900189245548153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410859796","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99302876,0.0021903298,0.00013969372,0.0002898255,0.00022603989,0.00008546644,0.0000036289807,0.00000941982,0.0040268647],"genre_scores_gemma":[0.99934286,0.00016874929,0.0001764234,0.00002427432,0.00006863417,0.0000012380319,6.569898e-7,0.000002807267,0.00021437206],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99891526,0.00008183868,0.0004486407,0.000107753534,0.00030268377,0.00014384398],"domain_scores_gemma":[0.9992509,0.00009792449,0.00029734112,0.000053598924,0.00017938418,0.00012085378],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077749183,0.00007455369,0.00025946816,0.00012896306,0.00017691146,0.00004360304,0.0001483708,0.00007239327,0.000077836085],"category_scores_gemma":[0.00018926463,0.00006323687,0.000064458996,0.00030650644,0.00050310994,0.00035915195,0.0000056413137,0.000097536926,6.7364034e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002839585,0.0000985352,0.6307638,0.00013504324,0.00012469254,0.000014107053,0.35025322,0.0000033139852,0.002525014,0.005762307,0.002418092,0.007617842],"study_design_scores_gemma":[0.0010017725,0.0002784939,0.3554965,0.00026615104,0.00023377228,8.6110134e-7,0.62305135,0.000017119452,0.0064112684,0.011280119,0.0017396711,0.00022292667],"about_ca_topic_score_codex":0.00013183003,"about_ca_topic_score_gemma":0.00042755526,"teacher_disagreement_score":0.27526736,"about_ca_system_score_codex":0.000027201875,"about_ca_system_score_gemma":0.00035004073,"threshold_uncertainty_score":0.2578725},"labels":[],"label_agreement":null},{"id":"W4410873139","doi":"10.1080/17549175.2025.2508792","title":"Pedestrianizing strategies and street liveliness: a case study of Montreal (Canada)","year":2025,"lang":"en","type":"article","venue":"Journal of Urbanism International Research on Placemaking and Urban Sustainability","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"High Street; Walkability; Advertising; Environmental planning; Economic geography; Aesthetics; Business; Geography; Civil engineering; Engineering; Art; Built environment; Archaeology","score_opus":0.050344227557772826,"score_gpt":0.41905924734520755,"score_spread":0.3687150197874347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410873139","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99400467,0.00034443304,0.000090235044,0.0012086286,0.00019701452,0.00039618262,0.000008322633,0.0000073049446,0.0037432304],"genre_scores_gemma":[0.9991962,0.000031221716,0.000032126605,0.000017955144,0.00014413903,0.0000060479674,5.754291e-7,0.0000055194596,0.00056623697],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9966398,0.000806871,0.0006634105,0.00028425295,0.0012973801,0.00030828026],"domain_scores_gemma":[0.9948256,0.001793052,0.00029638511,0.00016811778,0.0027628455,0.00015400804],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0051313993,0.0001314573,0.00032179174,0.0003995124,0.00061798946,0.00028563885,0.00033446055,0.000084703366,0.000019599947],"category_scores_gemma":[0.0030337432,0.00011275344,0.000054108365,0.00040441897,0.0004928753,0.0005295567,0.00010084583,0.00067281316,2.7003479e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009383794,0.0010353057,0.9528958,0.00018395341,0.00018556451,0.002044166,0.014948021,0.00008477062,0.000010181334,0.022687891,0.0010459141,0.003940029],"study_design_scores_gemma":[0.001458698,0.00063189096,0.26753625,0.00014604116,0.000040976338,0.00002112204,0.7135146,0.00015370382,0.000012777889,0.015104987,0.001258436,0.00012052327],"about_ca_topic_score_codex":0.45086953,"about_ca_topic_score_gemma":0.57674736,"teacher_disagreement_score":0.69856656,"about_ca_system_score_codex":0.00066917855,"about_ca_system_score_gemma":0.004242922,"threshold_uncertainty_score":0.7526761},"labels":[],"label_agreement":null},{"id":"W4411026307","doi":"10.1016/j.jrurstud.2025.103718","title":"“It's such a big ask for a volunteer”: Community transport as a sticking plaster solution to rural transport poverty","year":2025,"lang":"en","type":"article","venue":"Journal of Rural Studies","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Social Sciences and Humanities Research Council of Canada; Department of Transport, UK Government","keywords":"Poverty; Ask price; Volunteer; Sociology; Economic growth; Economics; Economy","score_opus":0.05195368152995951,"score_gpt":0.3605206344876894,"score_spread":0.3085669529577299,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411026307","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9794899,0.0011733555,0.0038069016,0.011938236,0.0013017354,0.0004905103,0.00004175021,0.000033003354,0.001724571],"genre_scores_gemma":[0.9963046,0.00025464108,0.00024876773,0.0012842347,0.00036039914,0.000019470508,0.000006069108,0.000010481739,0.0015113376],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978586,0.00016262986,0.0008412776,0.00011494967,0.00054020435,0.00048235094],"domain_scores_gemma":[0.9982811,0.00037909322,0.00028942057,0.000158839,0.0007336743,0.00015784841],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0018741284,0.00022229202,0.0006505199,0.00018679218,0.0013348446,0.000043830772,0.0004872818,0.000114490715,0.000035179564],"category_scores_gemma":[0.00031030906,0.00017373032,0.00043721174,0.00048249503,0.00029194364,0.00047086875,0.00002391369,0.0004667138,0.0000028345883],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023488489,0.00058331847,0.7753309,0.00038625253,0.0010999513,0.000025739933,0.19266428,0.00007344877,0.00078440044,0.0005638261,0.011385759,0.014753274],"study_design_scores_gemma":[0.0028635578,0.0008457082,0.6727828,0.0015206286,0.0008510112,0.0000051937377,0.24435002,0.000013879179,0.000339491,0.006066767,0.06982731,0.00053363934],"about_ca_topic_score_codex":0.0041937754,"about_ca_topic_score_gemma":0.044361435,"teacher_disagreement_score":0.102548115,"about_ca_system_score_codex":0.00031287447,"about_ca_system_score_gemma":0.00038921542,"threshold_uncertainty_score":0.9999653},"labels":[],"label_agreement":null},{"id":"W4411034202","doi":"10.1080/01441647.2025.2513530","title":"Assessing the readiness for 15-minute cities: a literature review on performance metrics and implementation challenges worldwide","year":2025,"lang":"en","type":"review","venue":"Transport Reviews","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; University of Toronto; McGill University","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Transport engineering; Business; Computer science; Environmental planning; Engineering; Geography","score_opus":0.1320840647006213,"score_gpt":0.4527289488875083,"score_spread":0.32064488418688697,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411034202","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000008775459,0.9875395,0.00006292705,0.0007783934,0.00038074458,0.007765029,0.00015465457,0.00006084423,0.0032490988],"genre_scores_gemma":[0.000013432088,0.99455595,0.00023226312,0.0005232253,0.00036844678,0.0019538312,0.00068156776,0.000035097033,0.0016362092],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9960529,0.00054515194,0.0016313688,0.0008050783,0.00045332903,0.00051215047],"domain_scores_gemma":[0.99738395,0.0007693061,0.0008887404,0.00065937144,0.0001767231,0.000121882884],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0053141452,0.0006371754,0.0027494836,0.0002555992,0.0007516524,0.00020235092,0.0007429367,0.00028282724,0.00007872373],"category_scores_gemma":[0.00013843873,0.0003779926,0.0009209041,0.0018146752,0.00019647954,0.0006306518,0.000013995839,0.0005554642,0.000005121995],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000015988797,0.000017119395,0.00012333322,0.26566437,0.000033934368,0.000001965661,0.00068132416,5.9314242e-9,2.2797493e-9,0.00046342798,0.0007321783,0.73228073],"study_design_scores_gemma":[0.000081526436,0.000020630607,0.00027349548,0.22621381,0.0016359317,7.391119e-7,0.000107248205,1.2211663e-7,5.693697e-8,0.000044387623,0.7713242,0.0002978401],"about_ca_topic_score_codex":0.00004401749,"about_ca_topic_score_gemma":0.00095102435,"teacher_disagreement_score":0.77059203,"about_ca_system_score_codex":0.00014026486,"about_ca_system_score_gemma":0.0005669211,"threshold_uncertainty_score":0.9998672},"labels":[],"label_agreement":null},{"id":"W4411116935","doi":"10.1016/j.jcmr.2025.100071","title":"The cars are going to be alright: Examining micromobility infrastructure space allocation and potential improvement scenarios in Montréal","year":2025,"lang":"en","type":"article","venue":"Journal of Cycling and Micromobility Research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Social Sciences and Humanities Research Council; Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Space (punctuation); Business; Computer science","score_opus":0.026934809822846784,"score_gpt":0.3533767710600311,"score_spread":0.32644196123718433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411116935","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9894194,0.001931749,0.0001140211,0.0076560625,0.0002150313,0.00050923694,0.0000043968394,0.000007297067,0.00014283066],"genre_scores_gemma":[0.99867713,0.0005730144,0.00031212953,0.00007226534,0.00009909118,0.000007943444,7.8476825e-7,0.000005576692,0.0002520867],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99744254,0.000548836,0.00063478586,0.00034592976,0.00054365007,0.00048425002],"domain_scores_gemma":[0.9982703,0.0005937648,0.0001754052,0.0002361196,0.00053451903,0.00018994784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010096149,0.00012549225,0.00028823855,0.00022052931,0.0010863278,0.00032307018,0.00034527102,0.00014264742,0.00000828989],"category_scores_gemma":[0.0009704059,0.00009196661,0.00006365604,0.0005254905,0.0006076949,0.0002524205,0.00013744217,0.00083933625,3.5573777e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004761306,0.00020335901,0.83689106,0.0001381244,0.000058750462,0.000026786001,0.016087146,0.000111444,0.097013265,0.00009577844,0.0005404287,0.04835772],"study_design_scores_gemma":[0.0008325927,0.00019191953,0.9587174,0.0002990454,0.000027700531,0.0000035981086,0.025742663,0.00008908579,0.005327566,0.0028055685,0.0058208657,0.00014201169],"about_ca_topic_score_codex":0.004328601,"about_ca_topic_score_gemma":0.02553723,"teacher_disagreement_score":0.12182631,"about_ca_system_score_codex":0.0003282291,"about_ca_system_score_gemma":0.00047974734,"threshold_uncertainty_score":0.9922442},"labels":[],"label_agreement":null},{"id":"W4411124104","doi":"10.1016/j.tbs.2025.101073","title":"Transportation access equity analysis in two US cities using Bayesian inference-based logsum compensating variation metrics","year":2025,"lang":"en","type":"article","venue":"Travel Behaviour and Society","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Metropolitan Council","keywords":"Equity (law); Inference; Variation (astronomy); Bayesian probability; Econometrics; Bayesian inference; Computer science; Economics; Artificial intelligence; Political science","score_opus":0.07243983377327674,"score_gpt":0.410694166096962,"score_spread":0.3382543323236853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411124104","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85035896,0.00004113335,0.14839448,0.00008019124,0.0000822302,0.0002054068,0.00004332295,0.00003707859,0.00075717946],"genre_scores_gemma":[0.9979716,0.00001841105,0.0016984253,0.00014239283,0.00002503249,0.000009058143,0.00008826931,0.000005343153,0.000041452604],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984429,0.00012751066,0.00043680592,0.0003380838,0.0003478722,0.00030683793],"domain_scores_gemma":[0.9993367,0.00018530863,0.00014214008,0.00012724574,0.0001329486,0.0000756637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011336525,0.00014526902,0.00033649645,0.00022900202,0.0005785648,0.00025822653,0.00019206978,0.00014455835,0.000067230554],"category_scores_gemma":[0.000035422017,0.00015499613,0.0002205516,0.0024735306,0.00021986665,0.0004572856,0.000013130785,0.00021940305,1.03417534e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006389714,0.00007832091,0.98677295,0.000031819225,0.000048276557,0.0000011047176,0.010441118,0.000637938,0.00008237554,0.001341219,0.0000018798728,0.0005565762],"study_design_scores_gemma":[0.00043061422,0.000005161357,0.97871983,0.000023871453,0.0005632368,7.6801e-9,0.0032268479,0.015454772,0.00011128691,0.0013065937,0.0000015673512,0.00015618674],"about_ca_topic_score_codex":0.057209946,"about_ca_topic_score_gemma":0.048226327,"teacher_disagreement_score":0.14761265,"about_ca_system_score_codex":0.00020676311,"about_ca_system_score_gemma":0.0003624259,"threshold_uncertainty_score":0.96914107},"labels":[],"label_agreement":null},{"id":"W4411136162","doi":"10.1016/j.tra.2025.104549","title":"Public transport and the COVID-19 pandemic: A comparative analysis of trends and policies in Great Britain, Germany, the USA, Canada, and Australia","year":2025,"lang":"en","type":"article","venue":"Transportation Research Part A Policy and Practice","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Catholic Relief Services","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Regional science; Public transport; Geography; Political science; Engineering; Virology; Transport engineering; Outbreak; Medicine; Infectious disease (medical specialty)","score_opus":0.3298531860622403,"score_gpt":0.522075651697812,"score_spread":0.19222246563557172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411136162","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9396907,0.0005009544,0.000019997358,0.05634632,0.000012088228,0.0003472126,0.0001685032,0.000007370976,0.0029068396],"genre_scores_gemma":[0.99536824,0.0013884859,0.00001049322,0.0010620941,0.000027323089,0.00004818575,0.000034837984,0.0000026129087,0.0020577314],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971476,0.0012419899,0.0004168979,0.0003031416,0.00051127345,0.000379101],"domain_scores_gemma":[0.9949441,0.004334733,0.00012634789,0.00016415959,0.00020626318,0.0002244147],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.004965479,0.00012584084,0.00035926572,0.00049911445,0.00075729843,0.00011716312,0.00017555137,0.000087649874,0.000085349326],"category_scores_gemma":[0.0006025614,0.00008512128,0.000044224296,0.0028198292,0.0028043673,0.00050663954,0.000008045445,0.00036285596,9.4933455e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036041773,0.00002892866,0.8846362,0.00004393103,0.00021575992,0.0000054731786,0.035872992,0.000011417213,0.0000041685385,0.078201905,0.0002827005,0.00033611138],"study_design_scores_gemma":[0.0007706889,0.000016495871,0.93577707,0.000008090487,0.00030097982,7.2588614e-7,0.006525037,0.000028357475,0.0000014115777,0.0010288715,0.055463485,0.0000787638],"about_ca_topic_score_codex":0.9782021,"about_ca_topic_score_gemma":0.9979154,"teacher_disagreement_score":0.07717303,"about_ca_system_score_codex":0.00007784852,"about_ca_system_score_gemma":0.0011075621,"threshold_uncertainty_score":0.9999094},"labels":[],"label_agreement":null},{"id":"W4411142266","doi":"10.17269/s41997-025-01058-w","title":"Reclaiming urban space for children: Examining the impact of School Streets on independent mobility and active transport","year":2025,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Queen's University; Université de Montréal","funders":"Canadian Institutes of Health Research","keywords":"SAFER; Intervention (counseling); Psychological intervention; Travel behavior; Space (punctuation); Geography; Transport engineering; Psychology; Medicine; Engineering; Nursing; Computer science; Computer security","score_opus":0.06818585671036947,"score_gpt":0.35736781189840455,"score_spread":0.2891819551880351,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411142266","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98974377,0.00048559956,0.00031553028,0.0076438724,0.00015762968,0.00048839825,0.00010464337,0.000004280636,0.0010562664],"genre_scores_gemma":[0.99946815,0.000031200725,0.000058165577,0.00021339295,0.00012845981,0.0000037770492,0.000004645501,0.0000057602992,0.000086421256],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99836427,0.00025592474,0.0004724735,0.0001712275,0.000225922,0.00051019585],"domain_scores_gemma":[0.9978119,0.00022728529,0.00037230243,0.00016694068,0.00026414564,0.0011574317],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004501412,0.00010738536,0.0003018652,0.00025995442,0.0007208403,0.000066188244,0.00032818335,0.00009010996,0.00007532106],"category_scores_gemma":[0.0006484041,0.0000771886,0.00013277541,0.00037922963,0.00029797186,0.00033616732,0.0000032651708,0.0003714196,1.0715749e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022003738,0.00003479574,0.9722794,0.000019350635,0.000066609195,0.0000013616593,0.0073396987,0.000008901935,0.000001773339,0.0009768433,0.00063313066,0.018616097],"study_design_scores_gemma":[0.00036862877,0.00023731272,0.99302506,0.000077283876,0.000012134217,7.21313e-7,0.0048847995,0.0000037025015,0.0000083576915,0.0004900719,0.00083404506,0.000057854875],"about_ca_topic_score_codex":0.16370939,"about_ca_topic_score_gemma":0.38345638,"teacher_disagreement_score":0.219747,"about_ca_system_score_codex":0.0009894103,"about_ca_system_score_gemma":0.020674834,"threshold_uncertainty_score":0.98487705},"labels":[],"label_agreement":null},{"id":"W4411144546","doi":"10.1016/j.iatssr.2025.05.002","title":"E-scooter riders: A cross-cultural analysis of traffic safety attitudes and behaviors","year":2025,"lang":"en","type":"article","venue":"IATSS Research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Traffic Injury Research Foundation","funders":"","keywords":"Transport engineering; Human factors and ergonomics; Poison control; Occupational safety and health; Injury prevention; Suicide prevention; Engineering; Psychology; Forensic engineering; Medical emergency; Medicine","score_opus":0.08298299604398042,"score_gpt":0.5101865147820476,"score_spread":0.42720351873806717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411144546","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9933133,0.00038532127,0.0000101673295,0.0005629102,0.000044709697,0.00018494896,0.00002547742,0.000024214969,0.0054489584],"genre_scores_gemma":[0.99746364,0.00010037584,0.000046778714,0.000013646179,0.000027078193,0.000010779727,0.000011673821,0.0000028521206,0.002323175],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99822223,0.00023635908,0.0002567017,0.00030058698,0.00061761984,0.0003664891],"domain_scores_gemma":[0.9989759,0.0002345903,0.000032263928,0.00020942501,0.00045515882,0.00009270779],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020821355,0.00007097964,0.0002343145,0.00037050268,0.0006051718,0.00021225825,0.0003366652,0.000106415835,0.000403831],"category_scores_gemma":[0.00020446748,0.000058382084,0.00013442294,0.002383681,0.0017037682,0.00034752302,0.00006032093,0.00023539759,0.0000032017151],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056225683,0.000102481376,0.99110764,0.00003598833,0.00016086573,0.000002970616,0.0036850732,0.0000508258,0.00016420938,0.00053022703,0.00011200286,0.003991503],"study_design_scores_gemma":[0.00016853033,0.000014648415,0.9965071,0.000019358667,0.00010280808,1.1548381e-8,0.0015491953,0.000061408646,0.0001399542,0.0000861719,0.0012905479,0.000060257247],"about_ca_topic_score_codex":0.00507466,"about_ca_topic_score_gemma":0.022039464,"teacher_disagreement_score":0.016964803,"about_ca_system_score_codex":0.0000853715,"about_ca_system_score_gemma":0.0001948289,"threshold_uncertainty_score":0.99580574},"labels":[],"label_agreement":null},{"id":"W4411144559","doi":"10.3389/fpubh.2025.1576548","title":"Built environment factors and their impacts on outdoor walking activity among people living with dementia: a spatial analysis approach","year":2025,"lang":"en","type":"article","venue":"Frontiers in Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"Public Health Agency of Canada","keywords":"Dementia; Built environment; Level design; Gerontology; Environmental health; Medicine; Geography; Computer science; Ecology; Artificial intelligence; Disease","score_opus":0.01934670864109872,"score_gpt":0.26726557287262354,"score_spread":0.24791886423152482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411144559","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8838066,0.00016838007,0.113062076,0.0011743181,0.00014651116,0.0004096621,0.000012323688,0.00004132328,0.00117879],"genre_scores_gemma":[0.99890333,0.00011093624,0.0007204605,0.000117980686,0.000033873854,0.0000255757,0.000015109154,0.0000085094325,0.00006419868],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977673,0.00045509357,0.0002681264,0.00051750976,0.00032968042,0.0006622523],"domain_scores_gemma":[0.9991243,0.00011165098,0.00017933086,0.00026965878,0.000017308892,0.00029778585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019321445,0.00019739682,0.0004916088,0.0004731574,0.00059324986,0.0001760766,0.00024128892,0.00011230524,0.000034484765],"category_scores_gemma":[0.0000984256,0.00014686036,0.00009008564,0.0010892829,0.00022860449,0.0004581975,0.000046447138,0.0002867757,1.6145307e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010402919,0.00023418771,0.9671339,0.00004233882,0.00026539943,2.5635683e-7,0.01813931,0.000021549324,4.1392906e-7,0.0000385458,0.00009154743,0.014022167],"study_design_scores_gemma":[0.00018870208,0.00004045465,0.9886328,0.000027516086,0.000049579805,1.0008329e-8,0.009394542,0.0010671692,0.0000033267065,0.000057407473,0.00040683922,0.00013163628],"about_ca_topic_score_codex":0.05031336,"about_ca_topic_score_gemma":0.07642362,"teacher_disagreement_score":0.11509674,"about_ca_system_score_codex":0.00056433014,"about_ca_system_score_gemma":0.00054328993,"threshold_uncertainty_score":0.9560107},"labels":[],"label_agreement":null},{"id":"W4411178915","doi":"10.1186/s12966-025-01767-y","title":"Cycling infrastructure as a determinant of cycling for recreation and transportation in Montréal, Canada: a natural experiment using the longitudinal national population health survey","year":2025,"lang":"en","type":"article","venue":"International Journal of Behavioral Nutrition and Physical Activity","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Ottawa; Intertek (Canada); Queen's University; Université de Sherbrooke; McGill University; Canadian Public Health Association; Public Health Agency of Canada","funders":"Government of Canada","keywords":"Cycling; Recreation; Population health; Geography; Behavioural sciences; Population; Gerontology; Ecology; Environmental health; Medicine; Psychology; Biology; Archaeology","score_opus":0.046703081306632775,"score_gpt":0.4172201301006511,"score_spread":0.37051704879401837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411178915","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981647,0.00019249084,0.00043050392,0.0007277014,0.00020024604,0.00021549677,0.000065231,0.0000019604672,0.0000016543178],"genre_scores_gemma":[0.9995415,0.000057345034,0.0002303208,0.00003086902,0.00009432747,0.000005138512,0.000035629335,0.000002415112,0.0000024588637],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99904674,0.00010856698,0.00027898408,0.000104279265,0.00037920254,0.00008224203],"domain_scores_gemma":[0.99909705,0.00016825105,0.00031726688,0.000023864108,0.0003581856,0.000035406334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041966856,0.00006775572,0.00017574496,0.00008537772,0.00014280224,0.000035551737,0.000075273245,0.00003381476,0.0000014016568],"category_scores_gemma":[0.000041198105,0.000055713306,0.000051745435,0.000113848626,0.000065516884,0.0003448154,0.0000046036525,0.00012953187,3.2878822e-9],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010892649,0.0008316303,0.9582178,0.000052820324,0.0000399217,0.0000035149453,0.003031263,0.00023790712,0.0059435796,0.00083568954,0.0000455768,0.02967101],"study_design_scores_gemma":[0.0006619493,0.000039369042,0.99467826,0.00015091612,0.000016295064,9.685419e-7,0.00053210405,0.0010541974,0.0011248022,0.0016685247,0.000023801565,0.00004882252],"about_ca_topic_score_codex":0.4469659,"about_ca_topic_score_gemma":0.48218352,"teacher_disagreement_score":0.036460426,"about_ca_system_score_codex":0.0003197671,"about_ca_system_score_gemma":0.00033042685,"threshold_uncertainty_score":0.5567168},"labels":[],"label_agreement":null},{"id":"W4411192512","doi":"10.1016/j.tra.2025.104553","title":"Perceived accessibility: An introduction","year":2025,"lang":"en","type":"article","venue":"Transportation Research Part A Policy and Practice","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Transport engineering; Computer science; Engineering; Business","score_opus":0.12726537080490596,"score_gpt":0.5145535899710026,"score_spread":0.3872882191660967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411192512","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8312994,0.00016790841,0.00032639957,0.119109355,0.00021527239,0.00064492907,0.000028423065,0.00013791167,0.048070364],"genre_scores_gemma":[0.99220216,0.000451329,0.00031831115,0.0006508614,0.0009693095,0.000056208955,0.000071020484,0.0000070003566,0.005273822],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99671406,0.001449332,0.0003085875,0.00048345808,0.00059783756,0.00044675535],"domain_scores_gemma":[0.99758756,0.0012039745,0.000067295216,0.00029781763,0.00062659296,0.0002167738],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0055271885,0.00010091693,0.00014404795,0.00030424225,0.0013194588,0.00026403982,0.00023539779,0.00013662063,0.0003868011],"category_scores_gemma":[0.0028378745,0.00010089244,0.00003819771,0.0013446072,0.00075310265,0.0025658002,0.00000554454,0.00042925615,0.000011467055],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017371594,0.0009823678,0.12648113,0.00023227242,0.000101034915,0.000019766996,0.06300749,0.000016310794,0.0011500323,0.75517094,0.008092748,0.043008734],"study_design_scores_gemma":[0.0002469068,0.000042180567,0.40427983,0.00001105778,0.000027904045,1.0897887e-7,0.0079656225,0.000010782574,0.00004926575,0.00986462,0.5774142,0.00008750894],"about_ca_topic_score_codex":0.022306265,"about_ca_topic_score_gemma":0.023060009,"teacher_disagreement_score":0.7453063,"about_ca_system_score_codex":0.00009877516,"about_ca_system_score_gemma":0.0009177893,"threshold_uncertainty_score":0.9999807},"labels":[],"label_agreement":null},{"id":"W4411199496","doi":"10.1016/j.urbmob.2025.100130","title":"The Hierarchy of Cycling Needs: Modeling the self-assessed propensity to bicycle","year":2025,"lang":"en","type":"article","venue":"Journal of Urban Mobility","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver Community College; University of British Columbia","funders":"Fundação para a Ciência e a Tecnologia","keywords":"Cycling; Hierarchy; Computer science; Geography; Economics; Forestry","score_opus":0.02621232543009848,"score_gpt":0.310815670966369,"score_spread":0.2846033455362705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411199496","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9892154,0.0005023262,0.0021473935,0.004576864,0.00047334324,0.00046057598,0.0000024599822,0.000021794083,0.002599878],"genre_scores_gemma":[0.9990286,0.000043161617,0.00034690875,0.00016063823,0.00019513392,0.0000051313064,1.6873305e-7,0.0000051174507,0.00021513748],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976852,0.00042977562,0.0008517252,0.00015828299,0.00057477277,0.0003002441],"domain_scores_gemma":[0.9978002,0.00057870377,0.0003500821,0.00042789048,0.00072087924,0.00012228578],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0065503293,0.00011465482,0.00032553117,0.00009628023,0.00095121557,0.00012951168,0.0009663955,0.00007841682,0.000014921913],"category_scores_gemma":[0.00071622105,0.000062037405,0.00025372667,0.0009281173,0.00028421707,0.00032372525,0.00007231826,0.0004096765,0.0000012348839],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035930314,0.0006134026,0.97436017,0.000075607095,0.00014766386,0.000003436035,0.013589264,0.0016278905,0.0011358486,0.002566521,0.0008972212,0.004623696],"study_design_scores_gemma":[0.0010602828,0.00022134329,0.92491144,0.00029370256,0.00031839288,0.000001249868,0.01689175,0.0045107706,0.0028420035,0.032626137,0.015963979,0.00035895818],"about_ca_topic_score_codex":0.0010932878,"about_ca_topic_score_gemma":0.0014683238,"teacher_disagreement_score":0.049448714,"about_ca_system_score_codex":0.00018015118,"about_ca_system_score_gemma":0.00091685046,"threshold_uncertainty_score":0.73160774},"labels":[],"label_agreement":null},{"id":"W4411199837","doi":"10.1016/j.team.2025.06.001","title":"Navigating urban mobility: Mobility attitudes and travel mode choices in Dubai and Lahore","year":2025,"lang":"en","type":"article","venue":"Transport Economics and Management","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Transportation of Ontario","funders":"","keywords":"Mode (computer interface); Geography; Mode choice; Transport engineering; Computer science; Engineering; Public transport; Human–computer interaction","score_opus":0.013742911789692513,"score_gpt":0.29567866291599904,"score_spread":0.28193575112630653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411199837","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9916448,0.0008489369,0.00007918066,0.0007542978,0.00007064952,0.00064476003,0.000025339243,0.000028079261,0.0059039644],"genre_scores_gemma":[0.99434406,0.004841386,0.00024824654,0.00015110247,0.000022632283,0.000051363284,0.000015803329,0.0000064502415,0.00031894096],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987425,0.000024230292,0.0003703047,0.00053887774,0.00005940575,0.00026466878],"domain_scores_gemma":[0.99962175,0.0000384767,0.000055550503,0.00017520263,0.000013394206,0.00009560845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069097365,0.0001549884,0.00028178818,0.000045982186,0.00025488166,0.00007971978,0.0001280677,0.00008069384,0.000014093617],"category_scores_gemma":[0.0000026702573,0.0001638127,0.000039367067,0.00010664135,0.00036630695,0.0002915211,0.000029675435,0.00013913211,3.2263412e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025961708,0.00012381218,0.9506753,0.00035559962,0.0000379659,0.000003525641,0.003122504,0.00002943461,0.0000024189176,0.03307676,0.0000042676543,0.012542456],"study_design_scores_gemma":[0.00052540435,0.0000122987685,0.98949224,0.000088418565,0.00004340873,5.458851e-8,0.0017534235,0.00038770138,0.000009149634,0.0042314525,0.0032925054,0.00016394972],"about_ca_topic_score_codex":0.005545174,"about_ca_topic_score_gemma":0.059540525,"teacher_disagreement_score":0.053995352,"about_ca_system_score_codex":0.000057576184,"about_ca_system_score_gemma":0.000030484474,"threshold_uncertainty_score":0.9576204},"labels":[],"label_agreement":null},{"id":"W4411224959","doi":"10.1016/j.tra.2025.104554","title":"Four-year trends of personal mobility devices in metropolitan vancouver: The evolution of mode shares, speeds, and comfort in off-street paths","year":2025,"lang":"en","type":"article","venue":"Transportation Research Part A Policy and Practice","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Metropolitan area; Transport engineering; Personal mobility; Mode (computer interface); Telecommunications; Mode choice; Public transport; Geography; Advertising; Computer science; Engineering; Business; Archaeology","score_opus":0.0798652248221014,"score_gpt":0.4432240336759032,"score_spread":0.3633588088538018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411224959","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9828904,0.0010023778,0.000022492095,0.0026970906,0.000030576506,0.00033320856,0.0002595632,0.000008198956,0.0127560785],"genre_scores_gemma":[0.99885255,0.000578622,0.000084275605,0.000041250194,0.00003637583,0.00002521784,0.000018054794,0.0000037131747,0.00035995824],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976362,0.0007801509,0.00045103038,0.000255522,0.00056670676,0.0003103791],"domain_scores_gemma":[0.9974395,0.0019823362,0.00013179533,0.0001469991,0.00022559395,0.00007377219],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040936177,0.000089465786,0.00021688904,0.00045111091,0.00020600918,0.00002469471,0.00017021429,0.00010013394,0.00006262139],"category_scores_gemma":[0.0009362362,0.000075215,0.000042983476,0.0017239912,0.0008248083,0.00066586665,0.0000084959565,0.00032703942,1.6765354e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00057790056,0.00024892352,0.9348576,0.00017540318,0.000022697734,0.0000032551118,0.011416879,0.000012747529,0.000028685123,0.049825992,0.00023106349,0.0025988335],"study_design_scores_gemma":[0.0005239846,0.000059804304,0.9411874,0.00009445576,0.00002536661,4.9904266e-8,0.04424976,0.0001642244,0.000026965965,0.0036880404,0.009911633,0.00006831579],"about_ca_topic_score_codex":0.352212,"about_ca_topic_score_gemma":0.74872786,"teacher_disagreement_score":0.39651582,"about_ca_system_score_codex":0.00021338211,"about_ca_system_score_gemma":0.0006915676,"threshold_uncertainty_score":0.65210164},"labels":[],"label_agreement":null},{"id":"W4411276240","doi":"10.3390/su17125466","title":"Does Public Transport Planning Consider Mobility of Care? A Critical Policy Review of Toronto, Canada","year":2025,"lang":"en","type":"article","venue":"Sustainability","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal; University of Alberta; McMaster University; University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada; McMaster University","keywords":"Public transport; Transport policy; Environmental planning; Public policy; Business; Regional science; Transport engineering; Economic growth; Geography; Economics; Engineering","score_opus":0.011934765541715462,"score_gpt":0.3615528997997732,"score_spread":0.3496181342580577,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411276240","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8822941,0.035819396,0.00017412883,0.033724945,0.0005690506,0.0021633734,0.00026804136,0.000093262795,0.0448937],"genre_scores_gemma":[0.9989672,0.00027699987,0.00004997983,0.00037103347,0.000044682838,0.000036104408,0.00001181141,0.0000048701163,0.00023734424],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973989,0.00036306528,0.000815183,0.00041592916,0.0005160334,0.00049086066],"domain_scores_gemma":[0.9956645,0.00060685066,0.00012930264,0.00060790736,0.0028170564,0.00017442885],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018226675,0.00015703782,0.0005994257,0.000033877743,0.0002739866,0.000010792791,0.00039376534,0.00011699135,0.00054951146],"category_scores_gemma":[0.00809036,0.000116556104,0.00019592549,0.00045551482,0.0014970158,0.00032167952,0.000033846314,0.00017718905,4.2893344e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033712415,0.00017209837,0.9086926,0.02458377,0.000021504617,0.000004966944,0.003255388,6.216684e-7,0.0000019691647,0.06142932,0.00020165204,0.0016024155],"study_design_scores_gemma":[0.00020860045,0.000029099223,0.9108954,0.0009394815,0.000085796004,5.0555634e-8,0.024353908,7.909175e-7,0.00015223055,0.03935655,0.023783082,0.00019499395],"about_ca_topic_score_codex":0.9578314,"about_ca_topic_score_gemma":0.9476132,"teacher_disagreement_score":0.116673075,"about_ca_system_score_codex":0.0027113473,"about_ca_system_score_gemma":0.021857617,"threshold_uncertainty_score":0.9836875},"labels":[],"label_agreement":null},{"id":"W4411299430","doi":"10.1016/j.jtrangeo.2025.104327","title":"Transit-driven resilience: Unraveling post-COVID-19 urban recovery dynamics.","year":2025,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Resilience (materials science); Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Dynamics (music); Pandemic; Coronavirus Infections; Environmental planning; Geography; Virology; Sociology; Medicine; Physics; Outbreak","score_opus":0.009788078552868165,"score_gpt":0.29026640982321195,"score_spread":0.2804783312703438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411299430","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.954848,0.0015259002,0.026108075,0.0071852845,0.0014340961,0.00034251908,0.00009240801,0.00008699312,0.008376745],"genre_scores_gemma":[0.99624,0.0006268604,0.0010781467,0.0013460203,0.00024923688,0.0000036725478,0.000024859657,0.000014797323,0.00041636775],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969535,0.00015849255,0.0011321414,0.0003681269,0.000835526,0.0005522364],"domain_scores_gemma":[0.99807364,0.00018066497,0.00044048342,0.00029167067,0.00050252007,0.0005110405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018292709,0.00025132418,0.00055507984,0.0009541167,0.0007279702,0.00008175166,0.0009291743,0.00026995834,0.0002890362],"category_scores_gemma":[0.000112501046,0.00023284345,0.0010404467,0.0016744959,0.0006096526,0.00077669235,0.000006718958,0.00060822634,0.0000021088845],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042081947,0.00022155704,0.9894623,0.00011703279,0.0001843842,0.00013681856,0.0036381434,0.00066784734,0.00012701831,0.001099623,0.0004573049,0.0034671144],"study_design_scores_gemma":[0.0014809872,0.00023608748,0.9495446,0.00026705975,0.0005061544,0.0000044802646,0.0060686297,0.000046556248,0.00008409442,0.00723499,0.034066774,0.00045956738],"about_ca_topic_score_codex":0.0028548648,"about_ca_topic_score_gemma":0.014417173,"teacher_disagreement_score":0.041392058,"about_ca_system_score_codex":0.00021428682,"about_ca_system_score_gemma":0.0016815575,"threshold_uncertainty_score":0.949508},"labels":[],"label_agreement":null},{"id":"W4411302430","doi":"10.1016/j.jdeveco.2025.103562","title":"Why is female labor force participation declining in China? A perspective from urban commuting","year":2025,"lang":"en","type":"article","venue":"Journal of Development Economics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council; Social Sciences and Humanities Research Council of Canada; National Natural Science Foundation of China","keywords":"China; Perspective (graphical); Economics; Demographic economics; Labour economics; Economic geography; Geography; Computer science","score_opus":0.026232070225044205,"score_gpt":0.32560327286347596,"score_spread":0.29937120263843175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411302430","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9925848,0.00024281611,0.0004147958,0.0032810867,0.00030187532,0.00008413905,0.000002729607,0.00001032347,0.0030774265],"genre_scores_gemma":[0.99546057,0.000058557966,0.0033084294,0.0009186567,0.00009523406,0.0000024625638,0.0000015702389,0.0000056888284,0.00014882194],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989179,0.000059200822,0.0006324823,0.0001281584,0.000078920435,0.00018334482],"domain_scores_gemma":[0.99925876,0.00012915627,0.00036677357,0.00007288666,0.00011237192,0.00006003412],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093338825,0.00007757177,0.00022664014,0.00012529134,0.00018479863,0.00008209766,0.00022494156,0.00006618108,0.00006531687],"category_scores_gemma":[0.00013776284,0.00007997772,0.000058213882,0.00017534092,0.000052694973,0.0004225993,0.00002324718,0.00018430778,0.0000016308238],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036052923,0.000058822134,0.9279642,0.0000036070155,0.00004262275,0.0000017678569,0.06901382,0.000050133625,0.0000054232655,0.0010404825,0.00026636574,0.0015166887],"study_design_scores_gemma":[0.00052687025,0.000010641716,0.9654689,0.000098207485,0.000017054728,5.4128453e-8,0.01382871,0.00011236191,0.0004808952,0.006538372,0.012816356,0.000101582365],"about_ca_topic_score_codex":0.0011996684,"about_ca_topic_score_gemma":0.012079215,"teacher_disagreement_score":0.05518511,"about_ca_system_score_codex":0.0006013398,"about_ca_system_score_gemma":0.0007975146,"threshold_uncertainty_score":0.67404854},"labels":[],"label_agreement":null},{"id":"W4411315163","doi":"10.1016/j.sftr.2025.100878","title":"Promoting social sustainability: Psychological and contextual factors influencing mobility scooter adoption among older adults in a developing country","year":2025,"lang":"en","type":"article","venue":"Sustainable Futures","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Sustainability; Business; Social sustainability; Psychology; Economic growth; Economics","score_opus":0.009196458347707439,"score_gpt":0.3062792190561315,"score_spread":0.29708276070842404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411315163","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958192,0.0002510069,0.00010453707,0.0010736837,0.00013927835,0.0013732668,0.0000032562282,0.00013216399,0.001103605],"genre_scores_gemma":[0.9990994,0.000011182053,0.000036090285,0.00020944802,0.00013449238,0.0000796333,0.000010619196,0.000009398723,0.0004097742],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973005,0.00033717297,0.00048724594,0.0006811479,0.00031904437,0.00087486015],"domain_scores_gemma":[0.9989275,0.00015931917,0.00012798146,0.00017503226,0.0005167924,0.00009338107],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0016391242,0.00023806507,0.00035502255,0.000198636,0.0013388306,0.00024847116,0.0002615119,0.00037981794,0.00003874431],"category_scores_gemma":[0.0008419056,0.00021448742,0.00007277486,0.0009336131,0.0007784192,0.0008057534,0.00010360172,0.0004330395,2.2273957e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010304379,0.00015876011,0.907434,0.00066145184,0.000010316425,0.00002333701,0.075905554,0.0000016870348,0.000001964643,0.012318659,0.000051126724,0.0033301306],"study_design_scores_gemma":[0.0004889842,0.000018010809,0.73989165,0.00009339467,0.00001043242,6.61205e-8,0.25203618,0.000009739309,0.000016867023,0.006714749,0.0005431459,0.00017677285],"about_ca_topic_score_codex":0.012168484,"about_ca_topic_score_gemma":0.013037015,"teacher_disagreement_score":0.17613064,"about_ca_system_score_codex":0.0010691411,"about_ca_system_score_gemma":0.0006568208,"threshold_uncertainty_score":0.9999613},"labels":[],"label_agreement":null},{"id":"W4411322475","doi":"10.1016/j.trd.2025.104877","title":"Bridging access with life satisfaction and Nussbaum’s core capabilities","year":2025,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Lord Mayor’s Charitable Foundation","keywords":"Bridging (networking); Core (optical fiber); Life satisfaction; Psychology; Engineering; Computer science; Social psychology; Computer security; Telecommunications","score_opus":0.06963333168005803,"score_gpt":0.360469839930921,"score_spread":0.290836508250863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411322475","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9928222,0.0004798632,0.0013578418,0.0022858267,0.00006481852,0.0007481127,0.000056312514,0.00007300114,0.002112079],"genre_scores_gemma":[0.9963888,0.0021759698,0.0001246316,0.000100491256,0.00006129544,0.00014095739,0.00008966511,0.000014413398,0.00090375793],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99770623,0.00008827886,0.00037431478,0.0005646469,0.0007523735,0.00051412475],"domain_scores_gemma":[0.99926215,0.000116022245,0.000052542924,0.00020764179,0.00005872123,0.00030291805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009689454,0.0001888497,0.00025840386,0.000177658,0.0010285898,0.00009707628,0.00014147948,0.00012477317,0.0005159806],"category_scores_gemma":[0.000009411756,0.00017113014,0.0000463653,0.00031497978,0.0014694274,0.00064105686,0.000004771842,0.00033155095,0.0000034646578],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016396116,0.000062736515,0.98457986,0.00016416365,0.000042943004,0.000012275611,0.005403696,0.000059120066,0.000036724312,0.0033847394,0.00009684682,0.005992921],"study_design_scores_gemma":[0.0006081067,0.000052216565,0.9800667,0.000084865125,0.000059489725,8.389212e-8,0.002931828,0.000020415968,0.00006058575,0.0015163508,0.014416508,0.00018285721],"about_ca_topic_score_codex":0.015905272,"about_ca_topic_score_gemma":0.048983112,"teacher_disagreement_score":0.03307784,"about_ca_system_score_codex":0.00007781069,"about_ca_system_score_gemma":0.00020983636,"threshold_uncertainty_score":0.9906479},"labels":[],"label_agreement":null},{"id":"W4411376334","doi":"10.1111/tgis.70082","title":"Assessing the Built Environment of Light Rail Transit Stations to Encourage Active Transportation: A Multi‐Criteria <scp>GIS</scp>‐Based Analysis","year":2025,"lang":"en","type":"article","venue":"Transactions in GIS","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Transit (satellite); Transport engineering; Light rail transit; Rail transit; Computer science; Public transport; Engineering","score_opus":0.02983987700082234,"score_gpt":0.35216469486428875,"score_spread":0.3223248178634664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411376334","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.50651693,0.00006188923,0.48917606,0.0023947586,0.00010891619,0.00046180745,0.00016068202,0.000040378196,0.0010785944],"genre_scores_gemma":[0.9951477,0.000032335513,0.003649108,0.00012825374,0.000017046084,0.00014214512,0.000042402116,0.0000101600335,0.000830838],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9980357,0.0002550372,0.00058076176,0.00040217856,0.00040715924,0.00031913695],"domain_scores_gemma":[0.9989374,0.00042985243,0.00011407869,0.00035012566,0.00006936281,0.00009913444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059616746,0.0001808958,0.00034656242,0.00048221814,0.00061986514,0.000097349264,0.00035597148,0.00012948552,0.00066087994],"category_scores_gemma":[0.000029475043,0.00016267665,0.00031964856,0.0026139203,0.0002750906,0.0005323771,0.0000011858353,0.0002555169,0.0000038950443],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018197618,0.005783898,0.27701,0.00033795508,0.0028615852,0.000041914198,0.48996925,0.13434783,0.032440767,0.0010697981,0.00031672086,0.055638302],"study_design_scores_gemma":[0.0007479248,0.000021599442,0.9546288,0.000057260782,0.0011283999,2.955095e-8,0.02527827,0.001097872,0.008872331,0.00027948583,0.0077573927,0.00013059234],"about_ca_topic_score_codex":0.005863322,"about_ca_topic_score_gemma":0.07363704,"teacher_disagreement_score":0.67761886,"about_ca_system_score_codex":0.00018185303,"about_ca_system_score_gemma":0.00029996922,"threshold_uncertainty_score":0.9432667},"labels":[],"label_agreement":null},{"id":"W4411448683","doi":"10.1016/j.jtrangeo.2025.104332","title":"How does the spatial scale impact accessibility analysis and equity? The case of accessibility to supermarkets in Montreal","year":2025,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"Mitacs","keywords":"Equity (law); Scale (ratio); Transport engineering; Business; Engineering; Geography; Political science; Cartography","score_opus":0.010726433394706551,"score_gpt":0.3259616030562804,"score_spread":0.3152351696615739,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411448683","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99343807,0.0005115923,0.0010108607,0.0036744713,0.00020447918,0.00048148737,0.000104235005,0.000009542769,0.0005652903],"genre_scores_gemma":[0.9995632,0.00013887572,0.00007189214,0.00009039088,0.0000879425,0.000007934632,0.0000033650808,0.0000051634047,0.000031188934],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971469,0.0004745717,0.0010184417,0.00037067116,0.00056282664,0.00042657254],"domain_scores_gemma":[0.997976,0.00041749916,0.00044342122,0.00053817354,0.00040308406,0.00022179625],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0054180142,0.00022809558,0.00072664226,0.00067928724,0.00046764943,0.00020185139,0.0010244994,0.00014406891,0.00010464944],"category_scores_gemma":[0.00011909585,0.00010814441,0.0010144173,0.0035407583,0.0009581691,0.00082763284,0.000053655345,0.00045432834,5.582877e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004196134,0.00025431148,0.9736544,0.00005427076,0.00040681905,0.000092049544,0.003947931,0.00002521647,0.000052101706,0.000009504866,0.000013115942,0.021070698],"study_design_scores_gemma":[0.00045718293,0.00005267179,0.9927899,0.000043524582,0.00093698653,0.0000029375194,0.0027370187,0.000023927716,0.00017272492,0.002613857,0.000050714883,0.00011853219],"about_ca_topic_score_codex":0.074038856,"about_ca_topic_score_gemma":0.6061776,"teacher_disagreement_score":0.53213876,"about_ca_system_score_codex":0.000068251255,"about_ca_system_score_gemma":0.0002921497,"threshold_uncertainty_score":0.9321272},"labels":[],"label_agreement":null},{"id":"W4411452633","doi":"10.1186/s12966-025-01785-w","title":"Urban cycling-specific active transportation behaviour is sensitive to the fresh start effect: triangulating observational evidence from real world data","year":2025,"lang":"en","type":"article","venue":"International Journal of Behavioral Nutrition and Physical Activity","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Winnipeg; LMC Diabetes & Endocrinology (Canada); Manitoba Hydro; Children's Hospital Research Institute of Manitoba; Research Manitoba","funders":"Canadian Institutes of Health Research; Heart and Stroke Foundation of Canada","keywords":"Observational study; Cycling; Behavioural sciences; Gerontology; Medicine; Geography; Psychology; Environmental health; Internal medicine","score_opus":0.13092488718076975,"score_gpt":0.4246043107393336,"score_spread":0.2936794235585638,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411452633","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9902909,0.000027172484,0.0006023395,0.007205747,0.0005430458,0.00032976206,0.00094030594,0.000016038479,0.000044718792],"genre_scores_gemma":[0.99824476,0.00006191585,0.00026367244,0.00014446412,0.001084247,0.000010229238,0.00013109877,0.000006101519,0.000053513195],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981834,0.00025785738,0.00031338204,0.00030868777,0.00078718294,0.00014944983],"domain_scores_gemma":[0.9980725,0.00077530177,0.00032809514,0.00017274018,0.00054096483,0.000110406065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005415415,0.00013810302,0.0002751333,0.00012371625,0.00028453782,0.00018182001,0.0005095683,0.000050488932,0.00003941641],"category_scores_gemma":[0.000058652404,0.00011240595,0.00014248867,0.00035776198,0.00019472407,0.0013286393,0.00003729233,0.00036752748,0.0000018570527],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0033233387,0.002146199,0.8650421,0.000013393601,0.00015121773,0.000043756503,0.014751587,0.000009992622,0.013037682,0.0005045809,0.0057768947,0.09519924],"study_design_scores_gemma":[0.00070156355,0.000086466265,0.98779154,0.00029594646,0.00012619614,1.9171547e-7,0.0008770121,0.00007682029,0.008047273,0.00040811324,0.0014725508,0.00011634007],"about_ca_topic_score_codex":0.0077790725,"about_ca_topic_score_gemma":0.010114445,"teacher_disagreement_score":0.12274941,"about_ca_system_score_codex":0.0001766402,"about_ca_system_score_gemma":0.00011683599,"threshold_uncertainty_score":0.99882823},"labels":[],"label_agreement":null},{"id":"W4411487069","doi":"10.1371/journal.pclm.0000486","title":"Operationalizing accessibility in environmental sustainability efforts: Challenges, barriers, and opportunities","year":2025,"lang":"en","type":"article","venue":"PLOS Climate","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; Wilfrid Laurier University","funders":"Social Sciences and Humanities Research Council","keywords":"Operationalization; Sustainability; Mindset; Equity (law); Inclusion (mineral); Public relations; Universal design; Environmental justice; Political science; Sociology; Environmental planning; Business; Engineering; Computer science; Geography; Social science","score_opus":0.042631872411546916,"score_gpt":0.30829928919094385,"score_spread":0.2656674167793969,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411487069","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97707045,0.0026148646,0.0000049998375,0.0041823094,0.00006980645,0.00042590368,0.00003742726,0.000058361,0.015535895],"genre_scores_gemma":[0.9957167,0.0036730485,0.0000318421,0.00019437059,0.00003132001,0.00005539859,0.000021361273,0.0000055502983,0.0002704309],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984515,0.0002096605,0.0003337837,0.00040373663,0.00022883544,0.00037249672],"domain_scores_gemma":[0.9994454,0.00012352537,0.0000516318,0.00021681304,0.00003388907,0.00012878736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012431974,0.00012627378,0.00021202976,0.00008204574,0.0005254766,0.00009678683,0.00019593556,0.0001025502,0.0003433164],"category_scores_gemma":[0.00018312325,0.00012594719,0.00004022568,0.000077443794,0.0005369121,0.00064899906,0.00009403316,0.00013965376,0.00000124397],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045359262,0.00013804017,0.96685845,0.0002394474,0.0000126123905,0.000009713049,0.00570229,0.0000010721371,0.000027003181,0.020875918,0.000012551059,0.0060775466],"study_design_scores_gemma":[0.00034400573,0.00001202451,0.9583488,0.000058800382,0.000021862863,6.3248365e-8,0.020676909,0.00008087426,0.000083077066,0.0154801225,0.0047184476,0.00017499764],"about_ca_topic_score_codex":0.00035901775,"about_ca_topic_score_gemma":0.0028350384,"teacher_disagreement_score":0.018646246,"about_ca_system_score_codex":0.00033375618,"about_ca_system_score_gemma":0.00025239383,"threshold_uncertainty_score":0.5135977},"labels":[],"label_agreement":null},{"id":"W4411492766","doi":"10.3390/su17135697","title":"Assessing the Validity of a Green Infrastructure Conceptual Framework for Urban Transport Planning: Insights for Building Resilient Cities","year":2025,"lang":"en","type":"article","venue":"Sustainability","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia","funders":"Tertiary Education Trust Fund; University of Otago","keywords":"Conceptual framework; Green infrastructure; Sustainability; Stakeholder; Multidisciplinary approach; Stakeholder engagement; Urban planning; Business; Conceptual model; Environmental planning; The Conceptual Framework; Adaptation (eye); Process management; Urban resilience; Knowledge management; Environmental resource management; Engineering; Sociology; Political science; Computer science; Public relations; Psychology; Geography; Civil engineering","score_opus":0.034620205295442075,"score_gpt":0.38015568476827105,"score_spread":0.345535479472829,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411492766","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89432764,0.0002332714,0.10086068,0.0016533266,0.00035684832,0.0019868575,0.00004862319,0.00007080041,0.00046196175],"genre_scores_gemma":[0.9964223,0.000001699503,0.0026206884,0.00011183307,0.00023179107,0.00017624188,0.000016419526,0.000010319315,0.00040874616],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979302,0.00024251925,0.00054573,0.00046331072,0.00032805462,0.000490144],"domain_scores_gemma":[0.9959493,0.0022292554,0.00021829651,0.00043536647,0.0010886146,0.000079129524],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0019334881,0.0001926838,0.00039115248,0.00007758255,0.001396961,0.000083985025,0.0005646242,0.00027726495,0.000019144944],"category_scores_gemma":[0.00243547,0.00014602416,0.0002944,0.0004917185,0.0019270579,0.00041990454,0.000030513236,0.00031880263,2.3966363e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001009231,0.00005432555,0.66969633,0.00047031388,0.000027000171,5.9390635e-7,0.035926443,0.00008105593,0.000010567628,0.2927542,0.00018421694,0.0006940407],"study_design_scores_gemma":[0.000226681,0.000037896076,0.3867311,0.00005208449,0.00006170683,1.509375e-8,0.051434983,0.000032668617,0.00027990656,0.5514327,0.0096022,0.000108039516],"about_ca_topic_score_codex":0.001197173,"about_ca_topic_score_gemma":0.00045040372,"teacher_disagreement_score":0.2829652,"about_ca_system_score_codex":0.0004992883,"about_ca_system_score_gemma":0.0016335226,"threshold_uncertainty_score":0.9999031},"labels":[],"label_agreement":null},{"id":"W4411521739","doi":"10.31075/pis.71.02.01","title":"Cycling for All – Addressing Gender and Age-Specific Needs in Urban Mobility","year":2025,"lang":"en","type":"article","venue":"Put i saobraćaj","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cycling; Demographics; Diversity (politics); Transport engineering; Geography; Sustainable transport; Environmental planning; Business; Engineering; Sustainability; Political science; Demography; Sociology","score_opus":0.09189105434703934,"score_gpt":0.3596738539630434,"score_spread":0.26778279961600404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411521739","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96364814,0.002359204,0.0013739769,0.00060664385,0.0004170681,0.0006343768,0.000014048004,0.00009390339,0.030852629],"genre_scores_gemma":[0.9977341,0.0000739913,0.00073741114,0.00022594129,0.00016998414,0.00004392212,0.000013540611,0.0000081079115,0.0009929534],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987213,0.0000833216,0.00030261112,0.0003434728,0.0001598531,0.0003894428],"domain_scores_gemma":[0.9994137,0.00020359753,0.000052754895,0.00019818507,0.000045083867,0.00008667176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010226921,0.00011963232,0.00022206268,0.00014669665,0.00031911753,0.00014881119,0.00021436873,0.00013433033,0.00005088105],"category_scores_gemma":[0.000096521835,0.00012018606,0.00007149914,0.0004514768,0.00026826948,0.00034260427,0.000032673695,0.00015441,0.0000015777304],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000097936376,0.00021416596,0.9383385,0.00018291672,0.000026673133,0.000008075872,0.020304916,0.000010534704,0.0007459118,0.022910321,0.0022849713,0.014875087],"study_design_scores_gemma":[0.0008656083,0.000015409798,0.8490997,0.00008616746,0.00003206723,1.1619264e-7,0.0045848424,0.000094773146,0.00039711673,0.04095276,0.10357476,0.00029670866],"about_ca_topic_score_codex":0.0006080559,"about_ca_topic_score_gemma":0.0023361945,"teacher_disagreement_score":0.10128979,"about_ca_system_score_codex":0.00009449243,"about_ca_system_score_gemma":0.00010298229,"threshold_uncertainty_score":0.49010453},"labels":[],"label_agreement":null},{"id":"W4411523689","doi":"10.36941/mjss-2025-0026","title":"Effects of Urban Expansion on Transport Systems in Ondo Town, Ondo State, Nigeria","year":2025,"lang":"en","type":"article","venue":"Mediterranean Journal of Social Sciences","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Likert scale; Business; Urban expansion; Quarter (Canadian coin); Stratified sampling; Psychological intervention; Traffic congestion; Geography; Descriptive statistics; Socioeconomics; Transport engineering; Land use; Economic growth; Civil engineering; Medicine; Engineering; Economics; Psychology","score_opus":0.02222977641316767,"score_gpt":0.3133348529435071,"score_spread":0.29110507653033946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411523689","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9885998,0.00088588067,0.00009515287,0.0007857916,0.0028687678,0.00032833032,0.000005385406,0.000015494952,0.0064154486],"genre_scores_gemma":[0.99890095,0.00007713509,0.000031174946,0.000100252655,0.00047405556,0.0000046850214,0.0000010080017,0.0000052758764,0.00040548827],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9967393,0.00037527076,0.0009261812,0.00025248434,0.0012783492,0.00042839622],"domain_scores_gemma":[0.99867296,0.00038827516,0.0005360823,0.00008119085,0.00020284418,0.0001186732],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003570566,0.0001640968,0.000574085,0.00044436098,0.0005159043,0.00006864277,0.00078225357,0.00012936837,0.00006782903],"category_scores_gemma":[0.0002040254,0.00012809524,0.00020351297,0.0014188065,0.0012338551,0.00057605567,0.000011653578,0.0003144686,0.0000011180866],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00059367897,0.00093062525,0.8090051,0.0005096642,0.000075772405,0.00019751734,0.16537541,0.00013452284,0.0058410964,0.0016966708,0.003679561,0.011960391],"study_design_scores_gemma":[0.0026632664,0.0008109133,0.9567016,0.0016876338,0.00006754676,0.0000011568619,0.021942567,0.00002027457,0.0046362067,0.0032647734,0.0077891815,0.0004149321],"about_ca_topic_score_codex":0.0011937696,"about_ca_topic_score_gemma":0.0013478389,"teacher_disagreement_score":0.14769645,"about_ca_system_score_codex":0.0001506709,"about_ca_system_score_gemma":0.00079282006,"threshold_uncertainty_score":0.5223572},"labels":[],"label_agreement":null},{"id":"W4411665302","doi":"10.4236/gep.2025.136017","title":"Pathways to Sustainability in Rural Communities: Case Study of Active Transportation and Eco-Tourism at Pinawa, Manitoba, Canada","year":2025,"lang":"en","type":"article","venue":"Journal of Geoscience and Environment Protection","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Manitoba","funders":"Social Sciences and Humanities Research Council of Canada; Mitacs","keywords":"Sustainability; Tourism; Environmental planning; Rural tourism; Geography; Business; Urban sustainability; Environmental resource management; Tourism geography; Environmental science; Ecology; Archaeology","score_opus":0.01557271015129117,"score_gpt":0.24661146574489526,"score_spread":0.2310387555936041,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411665302","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985349,0.000035897505,0.00036309514,0.00040281375,0.0000712272,0.0005685543,0.0000042933398,0.0000017681393,0.000017433691],"genre_scores_gemma":[0.9998409,0.000049439946,0.00001998379,0.000018511804,0.000011711604,0.000013710078,3.0189165e-7,0.0000013832151,0.000044018452],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990949,0.00012841063,0.0003032528,0.00008508475,0.00025909016,0.00012926824],"domain_scores_gemma":[0.99962485,0.00003447814,0.00015910849,0.00007411881,0.000042150874,0.000065317945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007316749,0.00006503245,0.00014186066,0.00010525918,0.00041081948,0.000019124784,0.000086502754,0.000034341305,0.000009244573],"category_scores_gemma":[0.000021494548,0.00005855707,0.0000171545,0.00018442198,0.00017149997,0.00036619115,0.000014568593,0.00013602593,2.5489275e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018315621,0.0003675994,0.87268615,0.000052807573,0.00000957181,0.000113964175,0.07136151,0.00023133954,0.00025556586,0.00001359738,0.0000041295416,0.054720584],"study_design_scores_gemma":[0.00026429316,0.00021699397,0.660313,0.000019073375,0.000011255864,0.000003856032,0.3386417,0.000017102915,0.00008427513,0.00026591858,0.00012242075,0.00004007792],"about_ca_topic_score_codex":0.8740423,"about_ca_topic_score_gemma":0.9661866,"teacher_disagreement_score":0.2672802,"about_ca_system_score_codex":0.00063474424,"about_ca_system_score_gemma":0.00020779997,"threshold_uncertainty_score":0.31597328},"labels":[],"label_agreement":null},{"id":"W4411699414","doi":"10.1177/03611981251340377","title":"Barriers, Adoption, and Use of a Bike-Sharing System: A Market-Segment Approach to Current and Potential Users in Montréal, Canada","year":2025,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bike sharing; Business; Current (fluid); Marketing; Market segmentation; Industrial organization; Transport engineering; Engineering; Electrical engineering","score_opus":0.05781039307588142,"score_gpt":0.3509323119654861,"score_spread":0.29312191888960465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411699414","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99424773,0.0008249488,0.0013028666,0.0018263975,0.00031880706,0.0012397564,0.00006977612,0.000010140565,0.00015959889],"genre_scores_gemma":[0.9972987,0.0014298292,0.0007950581,0.000022061513,0.00004586774,0.000056027253,0.000005634106,0.000014908622,0.00033187147],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99432313,0.0009390626,0.001202676,0.00042970906,0.002462497,0.0006428954],"domain_scores_gemma":[0.99686426,0.0004447989,0.00025873142,0.00027939476,0.0016593254,0.00049351336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0047360477,0.00017423916,0.00042935196,0.00092352345,0.00066372554,0.00015780896,0.0005968628,0.000116956086,0.00003478562],"category_scores_gemma":[0.00023509676,0.00014427217,0.0001228273,0.002128078,0.000571616,0.000606432,0.000011876701,0.0010365457,1.9333348e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010565124,0.000106042186,0.9851048,0.00075723795,0.0000664448,0.000025818003,0.0042257393,0.000815743,0.00015435334,0.002285654,0.0023394364,0.003062225],"study_design_scores_gemma":[0.00089583494,0.00007268119,0.97943926,0.00074749504,0.00004591446,6.247861e-8,0.011393818,0.00034406036,0.000051705618,0.00030119848,0.0065864036,0.00012158714],"about_ca_topic_score_codex":0.8078977,"about_ca_topic_score_gemma":0.94792426,"teacher_disagreement_score":0.1400266,"about_ca_system_score_codex":0.0005329876,"about_ca_system_score_gemma":0.0020394064,"threshold_uncertainty_score":0.58832484},"labels":[],"label_agreement":null},{"id":"W4411707533","doi":"10.1016/j.cities.2025.106178","title":"Barriers to car-free streets: Identifying opponents of pedestrianization in Montreal","year":2025,"lang":"en","type":"article","venue":"Cities","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institut National de la Recherche Scientifique; Polytechnique Montréal","funders":"Mitacs; Institut national de la recherche scientifique","keywords":"Advertising; Sociology; Business; Media studies","score_opus":0.02320938980514208,"score_gpt":0.3067334468448049,"score_spread":0.2835240570396628,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411707533","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9771345,0.00009515793,0.000140129,0.00033342376,0.0002378666,0.00014166316,0.000019413872,0.00002094199,0.0218769],"genre_scores_gemma":[0.99764,0.000013380568,0.0000425614,0.000052282332,0.000027728402,0.000006670908,0.000005008442,0.0000023520527,0.0022099966],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99935746,0.000049095135,0.00017971678,0.00011916091,0.00015895237,0.00013559296],"domain_scores_gemma":[0.9996712,0.000037756145,0.000033407086,0.0001333057,0.00005927115,0.000065039],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023794797,0.000047486043,0.00010774223,0.000115648916,0.00012837422,0.000036494133,0.0002565272,0.00003181626,0.000137779],"category_scores_gemma":[0.00042729478,0.000051619052,0.000027712158,0.0003944125,0.000106501364,0.00020943025,0.000028032233,0.00003963839,0.0000013964577],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012041817,0.000008164743,0.98641366,0.000025780217,0.000005042029,0.0000016850953,0.009894328,0.000015801092,0.000056862624,0.0022362978,0.00047852282,0.00085184135],"study_design_scores_gemma":[0.00027196854,0.000006603527,0.96031505,0.00008587967,0.000010727491,6.3639907e-9,0.026581582,0.000007547777,0.0006098827,0.011676174,0.0003672647,0.000067331566],"about_ca_topic_score_codex":0.028059728,"about_ca_topic_score_gemma":0.13312674,"teacher_disagreement_score":0.105067015,"about_ca_system_score_codex":0.0000630324,"about_ca_system_score_gemma":0.00017810837,"threshold_uncertainty_score":0.9784125},"labels":[],"label_agreement":null},{"id":"W4411803230","doi":"10.2139/ssrn.5331432","title":"Pedal Poll/Sondo Vélo 2021-2024: Cycling rate trends from Canada's national volunteer cycling count","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University; Simon Fraser University; University of Toronto","funders":"","keywords":"Cycling; Volunteer; Geography; Forestry; Biology; Ecology","score_opus":0.013764177817190065,"score_gpt":0.29918344156454324,"score_spread":0.28541926374735316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411803230","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88532346,0.01907306,0.0034283877,0.014343185,0.012703056,0.0005137354,0.0015025372,0.00014051633,0.06297206],"genre_scores_gemma":[0.9497182,0.0028521009,0.00009627514,0.0003106756,0.0044856756,0.000016687729,0.00024204122,0.000031637417,0.04224674],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99286366,0.00044252176,0.0010160116,0.00085957715,0.0017743047,0.0030439112],"domain_scores_gemma":[0.9977386,0.00032409414,0.0006993172,0.00032836923,0.0006248402,0.00028475013],"candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0050892676,0.0004972179,0.00068050675,0.00033094146,0.001407726,0.00048201712,0.0013655263,0.00052002026,0.0017177451],"category_scores_gemma":[0.00032243886,0.000504993,0.0004740279,0.0005360582,0.00018377938,0.00030254197,0.00017980771,0.0069979117,0.000009790795],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.0010465531,0.0010033838,0.7172491,0.00022380939,0.006979759,0.00025118992,0.013389099,0.009948251,0.00033285035,0.0859204,0.026596498,0.13705914],"study_design_scores_gemma":[0.0026468423,0.00008514842,0.08477781,0.0007780022,0.0010071151,0.00001006674,0.011376371,0.0016944512,0.00011001824,0.77727,0.117652684,0.0025914854],"about_ca_topic_score_codex":0.8323156,"about_ca_topic_score_gemma":0.98847544,"teacher_disagreement_score":0.6913496,"about_ca_system_score_codex":0.00938922,"about_ca_system_score_gemma":0.08048178,"threshold_uncertainty_score":0.9998923},"labels":[],"label_agreement":null},{"id":"W4411823068","doi":"10.3390/smartcities8040107","title":"Sustainability Assessment Framework for Urban Transportation Combining System Dynamics Modeling and GIS; A TOD and Parking Policy Approach","year":2025,"lang":"en","type":"article","venue":"Smart Cities","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Montréal; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sustainability; System dynamics; Urban sustainability; Transport engineering; Computer science; Environmental planning; Urban planning; Business; Civil engineering; Engineering; Environmental science","score_opus":0.01726955757578003,"score_gpt":0.32288726603608403,"score_spread":0.305617708460304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411823068","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.66438943,0.00020542824,0.32932976,0.0010310584,0.00012120145,0.00060115027,0.00003341343,0.000100261816,0.0041882684],"genre_scores_gemma":[0.9943186,0.000015137737,0.005189194,0.000048737507,0.000093707575,0.00011199927,0.000042382984,0.000008355897,0.00017190925],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99884415,0.00007891411,0.0002900944,0.00031825222,0.0001684203,0.00030017825],"domain_scores_gemma":[0.99940604,0.00017425348,0.00006763493,0.00013108952,0.00015413311,0.00006687617],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082438457,0.00012590903,0.00024117356,0.00009957198,0.0008420682,0.00018188635,0.00010476458,0.00013913513,0.0000010379114],"category_scores_gemma":[0.00008958043,0.00012931164,0.00005574758,0.00023326458,0.00026636745,0.00025601112,0.0000104246365,0.00014740368,1.7610889e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018911653,0.000020143241,0.3865659,0.00071934954,0.000017433933,2.7751022e-7,0.011338688,0.00008884134,2.679924e-7,0.5998692,0.0000053937265,0.001355611],"study_design_scores_gemma":[0.0006494103,0.000045353067,0.16175136,0.0003315704,0.00013413139,1.3523753e-7,0.3221443,0.15142003,0.0000028155055,0.36274895,0.0004188792,0.00035307577],"about_ca_topic_score_codex":0.0043109646,"about_ca_topic_score_gemma":0.002798318,"teacher_disagreement_score":0.3299291,"about_ca_system_score_codex":0.00038541027,"about_ca_system_score_gemma":0.00045191046,"threshold_uncertainty_score":0.65169173},"labels":[],"label_agreement":null},{"id":"W4411838315","doi":"10.1080/09581596.2025.2524588","title":"Influencing practices of civil society-led intersectoral networks to improve living environments in the Montreal setting","year":2025,"lang":"en","type":"article","venue":"Critical Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec en Outaouais; Université de Montréal; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal","funders":"Canadian Institutes of Health Research","keywords":"Civil society; Political science; Environmental planning; Environmental health; Economic growth; Gerontology; Public administration; Geography; Medicine; Economics; Politics","score_opus":0.03158778162018689,"score_gpt":0.3751085816723682,"score_spread":0.34352080005218133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411838315","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8950355,0.0003505025,0.006558021,0.0898487,0.000385041,0.0005633894,0.0000067315564,0.000038786162,0.0072133504],"genre_scores_gemma":[0.99309963,0.000018418275,0.00025406136,0.006400624,0.00014273508,0.000025557067,0.000002012601,0.000005113016,0.000051857747],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99758834,0.0006421578,0.00047816665,0.00029829092,0.0003337853,0.00065923936],"domain_scores_gemma":[0.99765205,0.0017769448,0.00014477466,0.00021230528,0.000042916545,0.00017101687],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0056171524,0.00009878289,0.00021814862,0.000057136353,0.000415992,0.00015623853,0.00042673803,0.0000992723,0.00006017912],"category_scores_gemma":[0.0036169004,0.000081001854,0.00008366697,0.0005329213,0.00030053672,0.0005352749,0.000072511124,0.0003895877,0.0000015083768],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018075812,0.0006776098,0.8300057,0.000357651,0.00003320541,0.0000037350142,0.11109098,0.000031856252,0.00009119482,0.013034772,0.0030057014,0.04164949],"study_design_scores_gemma":[0.00024313448,0.00009409577,0.9364446,0.00028231583,0.00001548655,8.8506454e-8,0.051099997,0.0015058732,0.0000038217745,0.0014063256,0.008732707,0.00017157834],"about_ca_topic_score_codex":0.014971002,"about_ca_topic_score_gemma":0.036052845,"teacher_disagreement_score":0.10643885,"about_ca_system_score_codex":0.00029250266,"about_ca_system_score_gemma":0.00064337894,"threshold_uncertainty_score":0.9915884},"labels":[],"label_agreement":null},{"id":"W4411851165","doi":"10.32866/001c.141220","title":"Essential Workers and Transit Ridership Retention During COVID-19 Shocks in the Toronto Region","year":2025,"lang":"en","type":"article","venue":"Findings","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Transit (satellite); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Transport engineering; Business; Demographic economics; Medicine; Public transport; Engineering; Economics; Virology; Internal medicine","score_opus":0.031943571128671855,"score_gpt":0.31369300472891004,"score_spread":0.2817494336002382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411851165","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9855953,0.00024376217,0.0002982261,0.0067859213,0.0001447209,0.00022854067,0.0000011244282,0.00003677816,0.0066656293],"genre_scores_gemma":[0.9979689,0.0000480944,0.000009296436,0.0002182209,0.000060686965,0.000010813154,0.000003820674,0.0000026039766,0.0016775804],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991743,0.00010333447,0.00014355953,0.00021267342,0.00016677624,0.0001993373],"domain_scores_gemma":[0.9997321,0.00007613558,0.000028253015,0.0000997268,0.000011385125,0.00005244202],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006746555,0.000065652785,0.00008659799,0.000038467366,0.00053274666,0.000098510674,0.00017990204,0.00009067223,0.00009636642],"category_scores_gemma":[0.00008158251,0.000054975546,0.00004741145,0.00023301375,0.00016271212,0.00031743385,0.000007954597,0.000105888896,7.4358184e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006992839,0.000019418434,0.9613873,0.000056620855,0.000005680163,0.000007561551,0.035741564,0.0000015699701,0.00007738716,0.0016472606,0.0006939064,0.00029180056],"study_design_scores_gemma":[0.00043716386,0.0000074798577,0.97510445,0.00005371066,0.000022637814,2.322053e-7,0.017734563,0.000004526261,0.00007237423,0.002276395,0.00419764,0.00008885212],"about_ca_topic_score_codex":0.016138142,"about_ca_topic_score_gemma":0.08029594,"teacher_disagreement_score":0.0641578,"about_ca_system_score_codex":0.00018528322,"about_ca_system_score_gemma":0.00009193949,"threshold_uncertainty_score":0.9904135},"labels":[],"label_agreement":null},{"id":"W4411863844","doi":"10.1177/1087724x251356465","title":"Funding Transportation in the Dark? The Case Study of Ontario, Canada","year":2025,"lang":"en","type":"article","venue":"Public Works Management & Policy","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Trent University; Toronto Metropolitan University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Equity (law); Finance; Sustainability; Business; Investment (military); Capital expenditure; Sustainable transport; Economic growth; Politics; Public administration; Economics; Political science","score_opus":0.027301859831391617,"score_gpt":0.3093707480666737,"score_spread":0.2820688882352821,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411863844","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90905,0.0000377424,0.000056961297,0.010875106,0.00013669688,0.0008199496,0.0000019591116,0.000013589083,0.079008035],"genre_scores_gemma":[0.9969126,0.0000061219507,0.00000853451,0.00067964947,0.00004845063,0.00007958945,0.000005844074,0.0000031272616,0.0022560956],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986807,0.00017316813,0.00030485017,0.00018805465,0.0003415857,0.00031164676],"domain_scores_gemma":[0.99942535,0.0000997153,0.000088466535,0.0003170662,0.000035504243,0.000033914457],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012210038,0.0000888901,0.000116234034,0.00016126821,0.00051251426,0.00016327437,0.000605649,0.000028523897,0.000073796095],"category_scores_gemma":[0.000024052035,0.000058952894,0.00003765775,0.0017027097,0.00008875806,0.000251458,0.00001733328,0.00017297929,2.2523066e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008739332,0.00035339617,0.8179848,0.000028105134,0.00007304648,0.0002105263,0.086335935,0.000052421437,4.6089852e-8,0.06593439,0.0026232325,0.026395347],"study_design_scores_gemma":[0.00030922872,0.000008147657,0.7752511,0.000017293885,0.000046109857,1.4755572e-7,0.18917418,0.0000035600876,1.08044695e-7,0.0014616605,0.033665683,0.00006279481],"about_ca_topic_score_codex":0.9985714,"about_ca_topic_score_gemma":0.99994606,"teacher_disagreement_score":0.10283824,"about_ca_system_score_codex":0.0005439995,"about_ca_system_score_gemma":0.0010706512,"threshold_uncertainty_score":0.39418972},"labels":[],"label_agreement":null},{"id":"W4411917510","doi":"10.25071/1916-4467.40912","title":"Mystery—Whereof We Cannot Know, Yet Cannot Keep Silent","year":2025,"lang":"en","type":"article","venue":"Journal of the Canadian Association for Curriculum Studies","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Brock University; Lakehead University","funders":"","keywords":"History; Political science","score_opus":0.021601241267451474,"score_gpt":0.326843592630283,"score_spread":0.3052423513628315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411917510","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.67470586,0.015881637,0.000024940897,0.2603522,0.018806672,0.0014622322,0.00036235698,0.000045638473,0.028358493],"genre_scores_gemma":[0.97267807,0.00034708972,0.000034695397,0.0006874031,0.00041197916,0.000015392528,0.0000016118835,0.0000069226217,0.02581685],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99822485,0.00019030026,0.00052930095,0.00013399687,0.00048731815,0.0004342222],"domain_scores_gemma":[0.9973793,0.00024588223,0.00076299807,0.00012514516,0.0013092961,0.00017735483],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0017794025,0.00012717367,0.00035318712,0.00017223635,0.0015087834,0.00011370744,0.00047275328,0.00012957268,0.000025314259],"category_scores_gemma":[0.0019136323,0.00009169464,0.00033430356,0.00057203625,0.00011763749,0.000219112,0.000023975765,0.00024532172,0.0000031291538],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005740275,0.000040114617,0.70360166,0.0000422283,0.00048184834,0.0000022052711,0.0062702014,0.000020575662,0.000003621701,0.0025222276,0.2859143,0.0010952891],"study_design_scores_gemma":[0.00070453854,0.000039796523,0.12711644,0.00035235554,0.00038291843,3.4037382e-7,0.015912853,0.000012254902,0.000038142236,0.009459715,0.8457654,0.00021521503],"about_ca_topic_score_codex":0.13487712,"about_ca_topic_score_gemma":0.9603351,"teacher_disagreement_score":0.82545793,"about_ca_system_score_codex":0.005146367,"about_ca_system_score_gemma":0.0021189766,"threshold_uncertainty_score":0.99979115},"labels":[],"label_agreement":null},{"id":"W4411959270","doi":"10.1002/pan3.70090","title":"Empirical research review on Solastalgia: Place, people and policy pathways for addressing environmental distress","year":2025,"lang":"en","type":"article","venue":"People and Nature","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Distress; Psychology; Empirical research; Environmental planning; Psychotherapist; Environmental science; Epistemology","score_opus":0.057288482876512115,"score_gpt":0.41023147897738277,"score_spread":0.35294299610087065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411959270","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9437667,0.0375607,0.000016326885,0.012921486,0.00012869979,0.0007202481,0.00025642995,0.000032817425,0.004596573],"genre_scores_gemma":[0.99022156,0.007596881,0.000034348624,0.0007926133,0.00019133654,0.000043512402,0.00006506545,0.000006855556,0.001047815],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998712,0.00013463788,0.00014807649,0.00036107202,0.0002984567,0.00034577204],"domain_scores_gemma":[0.99922496,0.0004438211,0.000033508044,0.0001492074,0.00002921406,0.0001192649],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071687106,0.0001115688,0.00022588919,0.00008537458,0.00094323885,0.00009084601,0.00015384624,0.00023262444,0.000039786053],"category_scores_gemma":[0.00029549384,0.00009170159,0.000056836467,0.00039749924,0.00021832275,0.00013431822,0.000064234955,0.0004993253,0.0000015489646],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033951132,0.0005386963,0.8381633,0.0035501444,0.00006340623,0.0000081814205,0.015429415,4.065755e-7,0.00025014175,0.010434163,0.07221799,0.05900464],"study_design_scores_gemma":[0.00069352996,0.00009377967,0.8828561,0.0010195576,0.00005674272,4.6434567e-7,0.0025307261,0.000025283753,0.00011831753,0.0052571325,0.10709612,0.00025227552],"about_ca_topic_score_codex":0.0003400106,"about_ca_topic_score_gemma":0.0056958543,"teacher_disagreement_score":0.05875236,"about_ca_system_score_codex":0.00006789998,"about_ca_system_score_gemma":0.00016114139,"threshold_uncertainty_score":0.72547257},"labels":[],"label_agreement":null},{"id":"W4411974227","doi":"10.1007/s11116-025-10655-0","title":"Is dockless electric bike sharing an environmentally friendly mode of transportation?","year":2025,"lang":"en","type":"article","venue":"Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Fundamental Research Funds for the Central Universities; National Development and Reform Commission","keywords":"Environmentally friendly; Transport engineering; Bike sharing; Mode (computer interface); Mode of transport; Electric cars; Automotive engineering; Engineering; Business; Public transport; Computer science","score_opus":0.013502050984691028,"score_gpt":0.31072625540567667,"score_spread":0.2972242044209856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411974227","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9906441,0.00009506676,0.0055266204,0.00018961547,0.00011387124,0.00034195802,0.0001463657,0.00008717035,0.0028552564],"genre_scores_gemma":[0.9984269,0.00007388225,0.00040923266,0.000100930396,0.00003139491,0.00002573292,0.00038737227,0.000012130584,0.00053239096],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99835455,0.000033487348,0.00052524055,0.00041016625,0.00040147916,0.0002750809],"domain_scores_gemma":[0.9994392,0.00002734346,0.00014641546,0.00023480324,0.00006181371,0.00009045455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022836914,0.00014689732,0.00022191397,0.00015782716,0.00027261002,0.000027315864,0.000327595,0.00013378535,0.00045958147],"category_scores_gemma":[0.0000028149711,0.00016268296,0.0001230851,0.00058758183,0.0001337403,0.0006867448,6.894984e-7,0.00012423622,0.0000041389403],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000960903,0.00030280583,0.94979155,0.00009630786,0.000041154508,0.0000046462833,0.02179002,0.00027472124,0.0059629357,0.01838232,0.000039455645,0.0032180012],"study_design_scores_gemma":[0.0004619975,0.000044697277,0.9808973,0.000034318688,0.00012092345,1.2919611e-8,0.0015944227,0.00015074365,0.01039615,0.004901988,0.001216373,0.00018109332],"about_ca_topic_score_codex":0.005944127,"about_ca_topic_score_gemma":0.025212757,"teacher_disagreement_score":0.03110574,"about_ca_system_score_codex":0.000064635875,"about_ca_system_score_gemma":0.00014582941,"threshold_uncertainty_score":0.9925746},"labels":[],"label_agreement":null},{"id":"W4412075328","doi":"10.1016/j.tra.2025.104579","title":"Assessing the applicability of the 15-minute city: Insights from a spatial accessibility perspective","year":2025,"lang":"en","type":"article","venue":"Transportation Research Part A Policy and Practice","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"National Natural Science Foundation of China","keywords":"Perspective (graphical); Transport engineering; Regional science; Environmental planning; Geography; Computer science; Engineering; Artificial intelligence","score_opus":0.13373956885131932,"score_gpt":0.5106409207436284,"score_spread":0.3769013518923091,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412075328","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9162735,0.0004045568,0.0008253495,0.038485974,0.000118769916,0.0010457517,0.000074581454,0.000032543703,0.04273901],"genre_scores_gemma":[0.998618,0.000106561136,0.00009138221,0.00045748687,0.00024848754,0.00007795443,0.000010652544,0.0000052444843,0.00038425345],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9954281,0.0024142147,0.00043613394,0.00047116852,0.0009143579,0.00033601292],"domain_scores_gemma":[0.99165916,0.0065918183,0.0002109759,0.0005318647,0.0009013753,0.00010481881],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0040895627,0.00012341852,0.00020931513,0.00009413362,0.0017294097,0.00027743235,0.00056284113,0.00014139256,0.00011283246],"category_scores_gemma":[0.0047163353,0.00007825124,0.00010461876,0.0015760986,0.002164708,0.0012629342,0.00002858503,0.00067555107,0.0000017130659],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008746513,0.0009155443,0.60511714,0.00014924566,0.0002290037,0.0000052224755,0.13498601,0.000010894101,0.0007971946,0.24427113,0.0005712488,0.01207273],"study_design_scores_gemma":[0.00027870192,0.000013647829,0.86099875,0.000041722495,0.00007026637,3.228802e-8,0.028092414,0.000021319696,0.0004626573,0.07000636,0.039936226,0.00007787354],"about_ca_topic_score_codex":0.23453932,"about_ca_topic_score_gemma":0.11032311,"teacher_disagreement_score":0.25588164,"about_ca_system_score_codex":0.00016100642,"about_ca_system_score_gemma":0.0017411677,"threshold_uncertainty_score":0.9995702},"labels":[],"label_agreement":null},{"id":"W4412084365","doi":"10.1016/j.scs.2025.106613","title":"Exploring the relationships between building and transportation stocks to meet climate change mitigation goals","year":2025,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Norges Forskningsråd; China Scholarship Council; University of British Columbia; Eidgenössische Technische Hochschule Zürich; Ministry of Education of the People's Republic of China","keywords":"Climate change; Climate change mitigation; Business; Environmental planning; Environmental resource management; Transport engineering; Architectural engineering; Environmental science; Engineering; Geology","score_opus":0.0710139594543068,"score_gpt":0.3072583265486638,"score_spread":0.236244367094357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412084365","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99209726,0.00042873135,0.0006008388,0.004581926,0.00006529524,0.0005408654,0.00001918041,0.000056396264,0.0016094891],"genre_scores_gemma":[0.9982359,0.0003569733,0.00020952949,0.00019165537,0.00014541858,0.00015034834,0.000010214281,0.000005437749,0.000694524],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99906796,0.000082793194,0.00017458013,0.00019788192,0.00014748034,0.00032933138],"domain_scores_gemma":[0.99948835,0.00019993959,0.000042680338,0.00008581109,0.000112003116,0.00007121297],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0011919212,0.00008691757,0.00012411879,0.000033689914,0.0025023439,0.00017338728,0.000085811844,0.00006692739,0.000004875486],"category_scores_gemma":[0.000052058884,0.000074701165,0.000056092253,0.0003647183,0.00022057068,0.000779594,0.000017061824,0.00011441633,1.135531e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005309663,0.000004865047,0.53688765,0.00020608553,0.000018294893,5.48811e-7,0.2087322,0.000004472008,0.0000037686577,0.2517219,0.00021206652,0.0022028536],"study_design_scores_gemma":[0.00009922508,0.000008119008,0.6495786,0.000042817497,0.000038711507,7.3318134e-9,0.32937288,0.000010132854,0.000022097951,0.016227685,0.0045192135,0.00008054312],"about_ca_topic_score_codex":0.002121682,"about_ca_topic_score_gemma":0.00097104633,"teacher_disagreement_score":0.2354942,"about_ca_system_score_codex":0.00008587609,"about_ca_system_score_gemma":0.000056669483,"threshold_uncertainty_score":0.9987963},"labels":[],"label_agreement":null},{"id":"W4412137856","doi":"10.1080/03081060.2025.2527323","title":"Modernizing Montreal’s household travel survey: adapting to evolving travel trends and technological shifts","year":2025,"lang":"en","type":"article","venue":"Transportation Planning and Technology","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Travel behavior; Transport engineering; Vehicle miles of travel; Engineering; Regional science; Geography; Business","score_opus":0.04116264578458948,"score_gpt":0.30460089781142585,"score_spread":0.26343825202683635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412137856","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97968626,0.0010694512,0.012740494,0.0025569154,0.00006635116,0.00017288169,0.00006275347,0.0005155058,0.0031293866],"genre_scores_gemma":[0.99831975,0.000033410477,0.0010506529,0.00007703492,0.000012735352,0.000027010903,0.000041018535,0.000011818451,0.00042655788],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984975,0.000053352134,0.0003591923,0.00052059145,0.00016589255,0.00040349728],"domain_scores_gemma":[0.99944323,0.00015464915,0.00008087014,0.00015837724,0.000067008375,0.000095884985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006886525,0.00018534325,0.00032570068,0.0007030107,0.00068449206,0.00006423051,0.00021300695,0.00042486063,0.000013399952],"category_scores_gemma":[0.00011978629,0.0001861558,0.000031444575,0.0013049649,0.000478008,0.00017507852,0.000009306451,0.00033478442,4.6082596e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038795704,0.000041868563,0.92508703,0.000023825007,0.000024924486,0.000019948056,0.0032102247,0.00003755689,0.00059430377,0.009400022,0.00006985225,0.06145162],"study_design_scores_gemma":[0.00034377706,0.00003481299,0.99026626,0.000092447306,0.00003648844,3.3756177e-7,0.0047445237,0.00019523663,0.00024892375,0.0037156078,0.0001267492,0.00019483641],"about_ca_topic_score_codex":0.0036943115,"about_ca_topic_score_gemma":0.0136858225,"teacher_disagreement_score":0.0651792,"about_ca_system_score_codex":0.000026268865,"about_ca_system_score_gemma":0.00005734677,"threshold_uncertainty_score":0.763701},"labels":[],"label_agreement":null},{"id":"W4412145810","doi":"10.1080/29941849.2025.2516475","title":"A prioritization framework to identify key attributes of transit-oriented development (TOD) using multi-criteria decision-making (MCDM) approach: an Indian context","year":2025,"lang":"en","type":"article","venue":"Sustainable Transport and Livability","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; Okanagan College","funders":"","keywords":"Multiple-criteria decision analysis; Prioritization; Key (lock); Context (archaeology); Computer science; Transit (satellite); Management science; Operations research; Engineering; Transport engineering; Geography; Public transport; Computer security","score_opus":0.02923302979075327,"score_gpt":0.36765231743713556,"score_spread":0.3384192876463823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412145810","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72891545,0.0002103434,0.26929408,0.000074965974,0.00013523684,0.001125833,0.000024431736,0.00007737076,0.00014225903],"genre_scores_gemma":[0.96368915,0.000008805791,0.035981,0.00008101979,0.000043188607,0.00003911971,0.00005084769,0.000016509965,0.00009037523],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969142,0.00020302767,0.0009121512,0.00079794956,0.00047151872,0.00070117426],"domain_scores_gemma":[0.99825054,0.00020941635,0.00013875359,0.00042079823,0.0007092347,0.00027126353],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0022799098,0.00028604802,0.0005662803,0.0002894819,0.0009014516,0.000102918,0.00037532317,0.00032835582,0.00009630196],"category_scores_gemma":[0.00037035043,0.00029670325,0.00012544304,0.0015121608,0.0004612713,0.00082008936,0.000030401805,0.0002616768,3.830225e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034741085,0.00075594586,0.883252,0.0010049001,0.000046706737,0.000019689556,0.10135295,0.00008085665,0.0000882585,0.0042510508,0.0000024228314,0.008797763],"study_design_scores_gemma":[0.0006073881,0.00004618057,0.92845905,0.0004357915,0.00008543262,2.7997396e-7,0.06123976,0.000116428986,0.00030566953,0.006412886,0.0019139356,0.00037722252],"about_ca_topic_score_codex":0.0044763377,"about_ca_topic_score_gemma":0.0050342735,"teacher_disagreement_score":0.23477367,"about_ca_system_score_codex":0.00032352918,"about_ca_system_score_gemma":0.0010415603,"threshold_uncertainty_score":0.9999485},"labels":[],"label_agreement":null},{"id":"W4412433022","doi":"10.1016/j.jpubtr.2025.100132","title":"Measuring transit service reliability at the route level? Exploring the relationship between reliability measures and ridership","year":2025,"lang":"en","type":"article","venue":"Journal of Public Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reliability (semiconductor); Transit (satellite); Reliability engineering; Transport engineering; Service (business); Computer science; Business; Public transport; Engineering; Marketing","score_opus":0.29323282966849157,"score_gpt":0.3283421297383964,"score_spread":0.035109300069904814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412433022","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94526017,0.00043579956,0.0039873132,0.049061127,0.00035587596,0.0003345913,0.000027357382,0.00003483518,0.0005029446],"genre_scores_gemma":[0.99921596,0.000049051374,0.000118495984,0.00013457066,0.00019355128,0.000016425673,0.000011885388,0.000009036193,0.00025103017],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99686897,0.00074592157,0.00092840707,0.00026484928,0.0008810138,0.00031081788],"domain_scores_gemma":[0.9965031,0.0018500979,0.00038656767,0.00032280633,0.0007915045,0.00014592969],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.009745406,0.00015860336,0.00027914747,0.00011525067,0.0014579294,0.00018410438,0.0005083415,0.00012066825,0.00003650794],"category_scores_gemma":[0.0012712993,0.00009987338,0.00019842782,0.00096091384,0.00039350076,0.0016155147,0.0000059706763,0.0005921845,0.0000012315684],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054291824,0.000030890737,0.9808627,0.00007444561,0.000035772868,7.5916125e-7,0.013578488,0.00010364533,0.000018311119,0.0014205138,0.000076331446,0.0037438462],"study_design_scores_gemma":[0.00037222667,0.000015717254,0.98070127,0.00007018916,0.0001851041,2.1705175e-7,0.0038460498,0.0000041365556,0.000097140546,0.009389521,0.0052182684,0.00010015044],"about_ca_topic_score_codex":0.0020754423,"about_ca_topic_score_gemma":0.052524276,"teacher_disagreement_score":0.053955797,"about_ca_system_score_codex":0.00027948734,"about_ca_system_score_gemma":0.0005255406,"threshold_uncertainty_score":0.99984205},"labels":[],"label_agreement":null},{"id":"W4412439938","doi":"10.1016/j.jth.2025.102121","title":"Understanding inequalities in spatial accessibility to multi-tier healthcare for older adults in rapidly aging Bangladesh","year":2025,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Inequality; Health care; Gerontology; Computer science; Economic growth; Medicine; Economics; Mathematics","score_opus":0.10605065439538916,"score_gpt":0.395257862640878,"score_spread":0.28920720824548884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412439938","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92379725,0.0011187705,0.050673317,0.022023957,0.0008827505,0.0013232286,0.000051373805,0.000024409484,0.00010497154],"genre_scores_gemma":[0.9962879,0.000168595,0.0016843,0.0015488373,0.00018687262,0.000022550072,0.000011737239,0.000014535282,0.00007470198],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99627423,0.00031720987,0.0017936133,0.00038078058,0.00049456814,0.0007395961],"domain_scores_gemma":[0.9985631,0.00023090649,0.0004609454,0.00018532384,0.00022014944,0.00033957118],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0053248843,0.00019823237,0.000744801,0.0006543256,0.0003216648,0.00004490203,0.0004330493,0.00016553543,0.000041685955],"category_scores_gemma":[0.00011215199,0.00018996635,0.00021326155,0.0009318387,0.000111333015,0.00057326263,0.000009023433,0.0005188004,2.7937253e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00056917156,0.0003329427,0.9385047,0.0010286781,0.00001022401,0.000014942046,0.052169483,0.00004639085,0.0000023519995,0.0007063295,0.00006568401,0.006549119],"study_design_scores_gemma":[0.002932254,0.0001178818,0.96916115,0.0017771329,0.0000112592725,2.402746e-7,0.023421232,0.00003873374,0.00001997559,0.001832824,0.000518491,0.00016884325],"about_ca_topic_score_codex":0.031017585,"about_ca_topic_score_gemma":0.3929397,"teacher_disagreement_score":0.36192212,"about_ca_system_score_codex":0.0016353009,"about_ca_system_score_gemma":0.0026073228,"threshold_uncertainty_score":0.97543496},"labels":[],"label_agreement":null},{"id":"W4412439978","doi":"10.1016/j.jth.2025.102123","title":"Influence of pedestrianization on travel behavior changes: a case study of Montreal","year":2025,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Psychology","score_opus":0.03641527671920062,"score_gpt":0.3676848284290307,"score_spread":0.3312695517098301,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412439978","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99828917,0.00014218765,0.00009296705,0.00054181827,0.00013227185,0.00055609207,0.000023509807,0.0000068833415,0.00021509867],"genre_scores_gemma":[0.99960953,0.00013321431,0.00004579161,0.00007672351,0.000056892448,0.0000041774633,0.000001913576,0.000005787139,0.00006598964],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980205,0.0001408875,0.0009882452,0.00013959952,0.00051299436,0.00019776639],"domain_scores_gemma":[0.99843365,0.00006534437,0.0008244675,0.00015093811,0.00038144455,0.00014417146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012875455,0.000103890234,0.0004910461,0.00023950163,0.00017945645,0.0000060344246,0.00022425436,0.00007528271,0.000019080779],"category_scores_gemma":[0.000028635328,0.00009033096,0.000099298886,0.0005997337,0.00010860116,0.00017679603,0.0000022428212,0.00021248627,1.1034215e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001956041,0.0022415677,0.9558537,0.00014373095,0.00003392545,0.00033242523,0.03687028,0.0002588681,0.000055218556,0.00008360637,0.000016046448,0.0039150505],"study_design_scores_gemma":[0.0011136908,0.0011422348,0.97869223,0.0001788335,0.00013190151,0.000007638888,0.018490212,0.0000014848928,0.0000917586,0.000056607365,0.00003571093,0.000057693178],"about_ca_topic_score_codex":0.05488757,"about_ca_topic_score_gemma":0.13892443,"teacher_disagreement_score":0.08403686,"about_ca_system_score_codex":0.00009969954,"about_ca_system_score_gemma":0.0011215303,"threshold_uncertainty_score":0.951406},"labels":[],"label_agreement":null},{"id":"W4412449242","doi":"10.1177/16094069251357772","title":"A Critical Ethnographic Approach for Understanding How Environmental Factors Shape Experiences of Community Mobility for Older Adults Aging With and Into Vision Loss: A Protocol Paper","year":2025,"lang":"en","type":"article","venue":"International Journal of Qualitative Methods","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Ethnography; Protocol (science); Psychology; Sociology; Gerontology; Medicine; Anthropology","score_opus":0.3182036352370947,"score_gpt":0.5809108026640383,"score_spread":0.26270716742694356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412449242","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.478397,0.00003573251,0.51730806,0.0006010011,0.00006813208,0.0035278203,0.000013933268,0.00000377937,0.000044510125],"genre_scores_gemma":[0.85313165,0.000001948701,0.14492695,0.00004545719,0.000028927601,0.0018483322,0.000004747099,0.000004683872,0.0000072845546],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99676204,0.0020936392,0.00043960166,0.00014999046,0.00041471407,0.00014003614],"domain_scores_gemma":[0.99451226,0.004654439,0.00032711882,0.00007535152,0.00036208582,0.000068728375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007794966,0.00011811192,0.0002809157,0.0001702544,0.00038153704,0.00008760777,0.0003447939,0.00006914053,0.000020018757],"category_scores_gemma":[0.0013029708,0.000084951054,0.00015227708,0.00013658109,0.0016558704,0.0007234015,0.000034650442,0.00022054468,3.8071897e-9],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013039581,0.00065631646,0.022620954,0.0003229931,0.00018547609,3.606911e-7,0.95891,0.0000018474905,0.0004319599,0.00749483,0.000011036809,0.008060264],"study_design_scores_gemma":[0.0014375299,0.00034346778,0.01495749,0.0002645633,0.000035950863,3.7503835e-7,0.9349453,0.00017701683,0.0009976362,0.046643734,0.00009564227,0.00010133619],"about_ca_topic_score_codex":0.00010694299,"about_ca_topic_score_gemma":0.000055862696,"teacher_disagreement_score":0.37473467,"about_ca_system_score_codex":0.00015859804,"about_ca_system_score_gemma":0.00009772469,"threshold_uncertainty_score":0.6101123},"labels":[],"label_agreement":null},{"id":"W4412453839","doi":"10.1080/23748834.2025.2520165","title":"Twenty key insights into neighborhood walking experiences of people living with dementia in Metro Vancouver: a quantitative analysis of qualitative data","year":2025,"lang":"en","type":"article","venue":"Cities & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"Alzheimer Society; Alzheimer Society of B.C.; Public Health Agency of Canada","keywords":"Dementia; Key (lock); Gerontology; Qualitative property; Qualitative analysis; Qualitative research; Psychology; Sociology; Medicine; Computer science; Computer security","score_opus":0.05421109778310973,"score_gpt":0.40049769037910565,"score_spread":0.3462865925959959,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412453839","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9891304,0.0031353117,0.005783759,0.00011933836,0.00015105054,0.00023807386,0.000028973933,0.00001791894,0.0013952015],"genre_scores_gemma":[0.9978336,0.0001541223,0.0018420051,0.00007324658,0.000009413626,0.000021986927,0.000031097683,0.000004269886,0.000030240462],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9973964,0.0007912841,0.00067473686,0.0003953766,0.00045170315,0.0002905186],"domain_scores_gemma":[0.997858,0.0010426147,0.00047752308,0.00037608002,0.00017709713,0.00006871701],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020310848,0.00012390425,0.00065728923,0.000531818,0.0002974738,0.000026308953,0.0005567207,0.000046921352,0.0000980637],"category_scores_gemma":[0.00030276188,0.00010532526,0.00006982912,0.0032950444,0.0004925108,0.00065053086,0.000091357586,0.00011048717,1.3477155e-7],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020791433,0.00007716752,0.42325115,0.00013046306,0.00021818967,1.8934753e-7,0.5707786,0.0000086241935,0.0000013494989,0.005232817,0.000029987266,0.0002506547],"study_design_scores_gemma":[0.00013094161,0.00007293865,0.2222798,0.00020153592,0.00014164746,7.064247e-10,0.77524537,0.00035209296,0.000015416927,0.0014495126,0.000031050116,0.00007968807],"about_ca_topic_score_codex":0.07696039,"about_ca_topic_score_gemma":0.80856174,"teacher_disagreement_score":0.73160136,"about_ca_system_score_codex":0.00014191658,"about_ca_system_score_gemma":0.0010537662,"threshold_uncertainty_score":0.9291862},"labels":[],"label_agreement":null},{"id":"W4412466226","doi":"10.1016/j.tra.2025.104608","title":"What shapes perceived accessibility? Unpacking the interplay of sociodemographics, latent perceptions, and traditional accessibility metrics","year":2025,"lang":"en","type":"article","venue":"Transportation Research Part A Policy and Practice","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Unpacking; Perception; Transport engineering; Psychology; Computer science; Engineering","score_opus":0.14483411921142847,"score_gpt":0.4785307380483096,"score_spread":0.3336966188368811,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412466226","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96339154,0.0015070759,0.00028252334,0.031080296,0.0001377501,0.0006894793,0.00009901834,0.000040089686,0.0027722146],"genre_scores_gemma":[0.9893848,0.009247664,0.00017613654,0.00054620276,0.00014757039,0.00005841308,0.000047601276,0.0000072914363,0.00038432845],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99597764,0.0016340433,0.0005777805,0.00049310643,0.00090191286,0.0004155189],"domain_scores_gemma":[0.9921469,0.0064847204,0.00018268192,0.00023486376,0.0007844422,0.00016637954],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0080302,0.00015101673,0.000246747,0.00043016637,0.0015707571,0.0005266594,0.00038410616,0.00018370176,0.00022900094],"category_scores_gemma":[0.0024923799,0.00011913054,0.00010638583,0.0019505351,0.002437275,0.0033363586,0.000020934185,0.0006584843,0.0000014501346],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00071168685,0.0007049271,0.7673997,0.00050084514,0.00021278721,0.000004874292,0.09600308,0.000009956703,0.00030421998,0.1148754,0.00070809555,0.01856439],"study_design_scores_gemma":[0.00032991133,0.00003967748,0.9338979,0.00013308258,0.00008218622,2.447702e-7,0.036302492,0.000071917464,0.000018492981,0.021030866,0.00798295,0.00011027641],"about_ca_topic_score_codex":0.008333773,"about_ca_topic_score_gemma":0.011524542,"teacher_disagreement_score":0.16649815,"about_ca_system_score_codex":0.00008786751,"about_ca_system_score_gemma":0.00071412063,"threshold_uncertainty_score":0.99972904},"labels":[],"label_agreement":null},{"id":"W4412475304","doi":"10.1016/j.jth.2025.102118","title":"Unraveling the interplay between individual characteristics and perceived accessibility","year":2025,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Psychology; Cognitive psychology","score_opus":0.035416733681150905,"score_gpt":0.38046533225074824,"score_spread":0.34504859856959735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412475304","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9863746,0.0005963661,0.0015919866,0.010179372,0.00046580058,0.0002313763,0.00005305665,0.00001702678,0.00049041136],"genre_scores_gemma":[0.99794686,0.00044737596,0.00025796483,0.00085155707,0.00037361635,0.0000013135843,0.000010413688,0.000006383321,0.00010454445],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976981,0.00024221397,0.0010530092,0.00019249905,0.0004732109,0.00034094587],"domain_scores_gemma":[0.9986223,0.00023971785,0.0005404436,0.00017094286,0.0001991664,0.00022742926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044758637,0.00013381198,0.00048186176,0.000115399074,0.0007249479,0.00008523023,0.0005670555,0.00010724764,0.00006937228],"category_scores_gemma":[0.00008287415,0.00009097129,0.00014829359,0.00031258792,0.0003890114,0.00035972046,0.000013760368,0.0006047945,5.390204e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045427107,0.00005182918,0.9637309,0.000084797764,0.00005168072,0.000004737228,0.013274065,3.1829438e-7,0.000006694982,0.00016828021,0.00008071048,0.0225006],"study_design_scores_gemma":[0.00029977073,0.0000558344,0.99047,0.00018192313,0.00009449874,6.658566e-7,0.0021514918,0.0000017443434,0.000006847855,0.0010324877,0.0056288256,0.00007593566],"about_ca_topic_score_codex":0.0010838438,"about_ca_topic_score_gemma":0.0019091765,"teacher_disagreement_score":0.026739117,"about_ca_system_score_codex":0.00012314269,"about_ca_system_score_gemma":0.0014069485,"threshold_uncertainty_score":0.5575786},"labels":[],"label_agreement":null},{"id":"W4412544858","doi":"10.1093/obo/9780190922481-0088","title":"Urban Decline in the United States and Canada","year":2025,"lang":"en","type":"reference-entry","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geography; Economic geography; Political science","score_opus":0.02335023577431384,"score_gpt":0.2935010984348382,"score_spread":0.27015086266052435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412544858","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13143,0.0030151894,0.0000075011367,0.011970016,0.00057656656,0.00040626767,0.00024614466,0.000033645894,0.85231465],"genre_scores_gemma":[0.25089514,0.06868507,0.00003688879,0.007974071,0.0005632859,0.000031551604,0.002408835,0.000012720493,0.66939247],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987424,0.00016823108,0.00022550228,0.00022776853,0.0003854797,0.0002506001],"domain_scores_gemma":[0.9992948,0.00037847582,0.000055771932,0.0001664839,0.00004693787,0.00005749922],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046535768,0.000130274,0.00020811062,0.00008485649,0.00021991791,0.00009589362,0.00045827887,0.00016003539,0.00028265678],"category_scores_gemma":[0.00006349394,0.00008098492,0.000025869122,0.00045754583,0.00015450026,0.000048340982,0.000032025102,0.00034353207,4.7535423e-7],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000036402175,0.00001831745,0.26539436,0.0000605427,0.000008811637,0.0000089213945,0.0012415336,2.3037803e-7,7.7784e-10,0.001197151,0.7303868,0.001679694],"study_design_scores_gemma":[0.00008535937,0.0000035779422,0.042247858,0.00007286229,0.000019034578,2.0893085e-8,0.0028643822,0.0000050127555,1.6633643e-7,0.0009820174,0.9536162,0.000103509934],"about_ca_topic_score_codex":0.99794054,"about_ca_topic_score_gemma":0.9998057,"teacher_disagreement_score":0.2232294,"about_ca_system_score_codex":0.00012276579,"about_ca_system_score_gemma":0.0023744586,"threshold_uncertainty_score":0.42121875},"labels":[],"label_agreement":null},{"id":"W4412593969","doi":"10.1016/j.jum.2025.07.004","title":"Public perceptions of Montréal's streets: Implications for inclusive public space making and management","year":2025,"lang":"en","type":"article","venue":"Journal of Urban Management","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Montréal; Mila - Quebec Artificial Intelligence Institute","funders":"Social Sciences and Humanities Research Council; Social Sciences and Humanities Research Council of Canada; Fonds de Recherche du Québec-Société et Culture","keywords":"Public space; Perception; Space (punctuation); Sociology; Aesthetics; Public relations; Geography; Psychology; Political science; Art; Engineering; Architectural engineering; Linguistics; Philosophy","score_opus":0.031032207434427292,"score_gpt":0.3278109224073323,"score_spread":0.296778714972905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412593969","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21433775,0.0071272585,0.19952384,0.27578336,0.0010990411,0.004240309,0.00008841295,0.0001077016,0.29769233],"genre_scores_gemma":[0.9889106,0.00091935915,0.007141789,0.0002596732,0.00008697308,0.000034724293,0.0000035469614,0.000006758281,0.0026365565],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99871516,0.00006227431,0.00051289314,0.0001816388,0.0002702134,0.0002578312],"domain_scores_gemma":[0.9988614,0.00007257001,0.00038823354,0.00022304076,0.0003384746,0.00011628872],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091463735,0.00010585611,0.00022386327,0.00045341538,0.0005171839,0.00015555839,0.0004387719,0.00004773988,0.000050647424],"category_scores_gemma":[0.00006678284,0.00009849955,0.00014897651,0.0005465091,0.00017891465,0.00049392873,0.00014145786,0.00009163396,6.25398e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002675896,0.00029709283,0.28309447,0.00029878964,0.00040686876,0.0000038385297,0.0013516108,0.000008051965,0.000015816062,0.6412263,0.037275795,0.03599464],"study_design_scores_gemma":[0.0008311483,0.000053172724,0.64547545,0.00014914288,0.00031898593,3.3889077e-7,0.0121972,0.000020750716,0.0000028284758,0.039530598,0.30128905,0.00013136028],"about_ca_topic_score_codex":0.00006626811,"about_ca_topic_score_gemma":0.0009905488,"teacher_disagreement_score":0.77457285,"about_ca_system_score_codex":0.0002139361,"about_ca_system_score_gemma":0.00009801442,"threshold_uncertainty_score":0.4016695},"labels":[],"label_agreement":null},{"id":"W4412647553","doi":"10.1016/j.cities.2025.106321","title":"Urban mobility and carbon emissions: Decoding the influence of sociodemographic factors, trip-level built environment, and travel behaviour of workers in three UK cities","year":2025,"lang":"en","type":"article","venue":"Cities","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; The Scarborough Hospital; University of Toronto","funders":"H2020 European Research Council; European Research Council; Natural Sciences and Engineering Research Council of Canada","keywords":"Business; Travel behavior; Built environment; Environmental health; Demographic economics; Transport engineering; Geography; Economics; Engineering; Medicine; Civil engineering","score_opus":0.034345490900431305,"score_gpt":0.28028240679537314,"score_spread":0.24593691589494182,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412647553","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967101,0.0023784707,0.000011438849,0.00014494454,0.000035986817,0.00025547517,0.000049362738,0.000009383508,0.00040483003],"genre_scores_gemma":[0.99934727,0.0003709986,0.000026147974,0.000011551489,0.0000078837875,0.00001431293,0.000002391512,0.0000035172463,0.00021594253],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998984,0.00008902483,0.00033665702,0.0002097738,0.00019375913,0.00018683127],"domain_scores_gemma":[0.999282,0.00035840587,0.00011621049,0.00017532367,0.000025287936,0.00004276001],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006095141,0.00011596409,0.00025279954,0.00009838484,0.00023031987,0.00002237934,0.000204284,0.000086066786,0.00001538581],"category_scores_gemma":[0.00010417798,0.000089080255,0.00005670013,0.00020672039,0.0020963366,0.000121731355,0.000044930115,0.00014806604,1.5893924e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000137453435,0.000024962708,0.9853983,0.00005565813,0.000012171703,2.7830208e-7,0.0136204995,0.0000031890922,0.00022073208,0.00046625352,0.0000080074315,0.00017623274],"study_design_scores_gemma":[0.00017310405,0.000009818612,0.94795394,0.0001082971,0.00003170546,2.3590513e-8,0.043898713,0.0000064388228,0.00039807733,0.00733503,0.0000076000288,0.00007728144],"about_ca_topic_score_codex":0.01436774,"about_ca_topic_score_gemma":0.010391179,"teacher_disagreement_score":0.037444357,"about_ca_system_score_codex":0.000033502063,"about_ca_system_score_gemma":0.00011151986,"threshold_uncertainty_score":0.99219567},"labels":[],"label_agreement":null},{"id":"W4412712671","doi":"10.1016/j.jtrangeo.2025.104378","title":"Negotiating space: The daily mobility of women waste pickers in Cuenca, Ecuador","year":2025,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Social Sciences and Humanities Research Council of Canada; International Development Research Centre","keywords":"Negotiation; Space (punctuation); Human factors and ergonomics; Poison control; Transport engineering; Geography; Engineering; Sociology; Computer science; Medical emergency; Medicine; Social science","score_opus":0.0075736784941727205,"score_gpt":0.26587229856674405,"score_spread":0.2582986200725713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412712671","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951068,0.000765823,0.00015696582,0.00092468516,0.00047709653,0.0002542253,0.00001016261,0.000010573871,0.002293661],"genre_scores_gemma":[0.9993908,0.00019234867,0.00016630752,0.00008431887,0.000086266686,0.000006541353,0.000001298317,0.000005605813,0.0000665611],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976457,0.00016611267,0.00098694,0.00018194421,0.00056619226,0.00045311093],"domain_scores_gemma":[0.99873006,0.00017465913,0.00048550672,0.00024258003,0.00023607424,0.00013114478],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037616948,0.00014085992,0.00045276724,0.00038047013,0.000216173,0.000028606235,0.0006399496,0.00011245531,0.000095301475],"category_scores_gemma":[0.000066459375,0.000101163576,0.0004177458,0.0015080207,0.0006177545,0.00039397232,0.000008014496,0.00044590267,2.8416213e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014324693,0.00022594005,0.98857313,0.00006378885,0.00007741158,0.00001527826,0.009260503,0.00036482507,0.000076232165,0.00018189118,0.000048387657,0.0009693789],"study_design_scores_gemma":[0.0006183114,0.000055880377,0.97773224,0.00011247507,0.00006156656,2.1644453e-7,0.017750464,0.000007664206,0.0001624011,0.0016794626,0.0017270503,0.00009225262],"about_ca_topic_score_codex":0.0035444451,"about_ca_topic_score_gemma":0.0021322046,"teacher_disagreement_score":0.010840861,"about_ca_system_score_codex":0.00011004485,"about_ca_system_score_gemma":0.0004562477,"threshold_uncertainty_score":0.53581643},"labels":[],"label_agreement":null},{"id":"W4412736304","doi":"10.1016/j.ejor.2025.07.041","title":"A disaggregated integer L-shaped method for the bike sharing rebalancing problem with stochastic demands","year":2025,"lang":"en","type":"article","venue":"European Journal of Operational Research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Alliance de recherche numérique du Canada","keywords":"Integer (computer science); Integer programming; Mathematical optimization; Computer science; Bike sharing; Operations research; Mathematics; Engineering; Transport engineering","score_opus":0.08635635572309876,"score_gpt":0.4323346054435496,"score_spread":0.3459782497204509,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412736304","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.084229,0.0006597731,0.88145715,0.015488828,0.00018397857,0.00086476404,0.000007773704,0.000019191837,0.01708954],"genre_scores_gemma":[0.9878431,0.000013950354,0.007889747,0.00011808617,0.0003359138,0.000011034069,0.000002818088,0.000011921625,0.003773435],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9976133,0.0007338676,0.00039055553,0.0001808396,0.0007913448,0.0002901031],"domain_scores_gemma":[0.99697185,0.0012543426,0.00010301813,0.00012941967,0.0014474186,0.00009392823],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014991166,0.00007764849,0.00013996889,0.00016588734,0.001243183,0.0003817896,0.0006686606,0.000019496156,0.00011837404],"category_scores_gemma":[0.001175808,0.00004397549,0.00007259332,0.0006195685,0.00025859615,0.00032291914,0.000055552042,0.00048725217,0.000004083739],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.012143108,0.0017948647,0.2971787,0.0007178961,0.0029055304,0.0005363866,0.09203954,0.05828664,0.013997582,0.33250493,0.029743351,0.1581515],"study_design_scores_gemma":[0.016753262,0.0035881249,0.54872996,0.0068451827,0.00069776026,0.00006460295,0.037330613,0.19615369,0.0011657287,0.033772968,0.15325528,0.001642837],"about_ca_topic_score_codex":0.00009214159,"about_ca_topic_score_gemma":0.0003250791,"teacher_disagreement_score":0.9036141,"about_ca_system_score_codex":0.0001073436,"about_ca_system_score_gemma":0.00079649023,"threshold_uncertainty_score":0.9561685},"labels":[],"label_agreement":null},{"id":"W4412761010","doi":"10.1155/atr/5519731","title":"Study on the Spatiotemporal Characteristics of Bike‐Sharing and Urban Public Transport Integration: A Case Study of Lanzhou, China","year":2025,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Bike sharing; China; Public transport; Transport engineering; Environmental planning; Business; Geography; Engineering","score_opus":0.032360356273530295,"score_gpt":0.3275576812205233,"score_spread":0.295197324946993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412761010","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981055,0.00006698152,0.0004429615,0.00044942807,0.00016658126,0.0006444637,0.000017580922,0.000010013871,0.00009643518],"genre_scores_gemma":[0.9997892,0.000025672669,0.00006564308,0.00001949591,0.0000581732,0.0000069042003,0.0000068850786,0.00000695635,0.00002106973],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99817735,0.000099689176,0.0009976107,0.0001702527,0.0004339804,0.000121127334],"domain_scores_gemma":[0.9985368,0.00008619672,0.0007836974,0.00014998738,0.00037645566,0.00006683525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088653894,0.00012545407,0.0003751009,0.0001594637,0.00019692835,0.000022416018,0.00020943952,0.000052179803,0.000017869028],"category_scores_gemma":[0.00006357079,0.00009055175,0.000090679794,0.0005206243,0.00011778774,0.0004933599,0.0000018816044,0.00024576206,4.8164335e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020990394,0.0009540586,0.88377535,0.000037308913,0.00007064766,0.00012336184,0.11174059,0.000052972093,0.00009370953,0.0004153094,0.000002259398,0.0025245503],"study_design_scores_gemma":[0.0010418553,0.00067866215,0.88414985,0.000077156226,0.00014784293,0.0000011057105,0.113574855,0.000004586314,0.00009764723,0.00013364948,0.000027198685,0.000065599],"about_ca_topic_score_codex":0.00057078974,"about_ca_topic_score_gemma":0.00735199,"teacher_disagreement_score":0.0067812,"about_ca_system_score_codex":0.000027640186,"about_ca_system_score_gemma":0.00014073258,"threshold_uncertainty_score":0.4102583},"labels":[],"label_agreement":null},{"id":"W4412795445","doi":"10.1007/978-3-031-24952-5_20-1","title":"Mobility and Transport Improvements for Human Health","year":2025,"lang":"en","type":"book-chapter","venue":"Palgrave Studies in Sustainable Futures.","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Human health; Business; Materials science; Environmental science; Medicine; Environmental health","score_opus":0.03914985871048841,"score_gpt":0.37141817716886794,"score_spread":0.3322683184583795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412795445","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0056760088,0.085806526,0.00017466153,0.0027067831,0.0016041356,0.011505061,0.0004382072,0.00024866356,0.89184],"genre_scores_gemma":[0.42702836,0.0055791372,0.0001379029,0.00044449442,0.0005531484,0.00039477836,0.000121485085,0.00004074548,0.56569993],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9969011,0.000053044336,0.0007837724,0.0009137562,0.00040275426,0.0009455504],"domain_scores_gemma":[0.9984618,0.00017633961,0.0002991243,0.0004016231,0.0005093597,0.000151774],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0020356192,0.00045626506,0.0010423484,0.00024848213,0.0017829996,0.000040775503,0.00035781955,0.0003664529,0.00006016213],"category_scores_gemma":[0.000121200144,0.0004441873,0.00023617552,0.00013006506,0.0012038536,0.00006628992,0.00009878903,0.0004474716,3.6023476e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008656233,0.000053169046,0.013214746,0.0057359817,0.0002766294,0.000038706577,0.02100014,5.4192793e-7,3.18681e-7,0.949655,0.0030994788,0.006838702],"study_design_scores_gemma":[0.00085692195,0.00013660708,0.009320973,0.00031480053,0.00010550085,5.0140947e-8,0.038873274,3.5732003e-7,0.0000016434291,0.62077135,0.32913682,0.00048174747],"about_ca_topic_score_codex":0.006750063,"about_ca_topic_score_gemma":0.055188023,"teacher_disagreement_score":0.42135236,"about_ca_system_score_codex":0.0010108693,"about_ca_system_score_gemma":0.00078723766,"threshold_uncertainty_score":0.9998641},"labels":[],"label_agreement":null},{"id":"W4412870007","doi":"10.1016/j.jcmr.2025.100079","title":"The influence of neighbourhood walkability and bikeability on park visits using mobility data in Canada","year":2025,"lang":"en","type":"article","venue":"Journal of Cycling and Micromobility Research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Public Health Agency of Canada; University of Ottawa","funders":"","keywords":"Walkability; Neighbourhood (mathematics); Geography; Environmental health; Transport engineering; Medicine; Physical activity; Engineering; Mathematics; Physical medicine and rehabilitation","score_opus":0.07152788235435166,"score_gpt":0.4235750824661377,"score_spread":0.35204720011178603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412870007","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970134,0.0012184415,0.000005298041,0.0010236304,0.000107041655,0.0003902551,0.000034041157,0.0000030897818,0.00020478302],"genre_scores_gemma":[0.9994508,0.00038691083,0.0000869494,0.00002189502,0.000034104512,0.0000018542994,7.231319e-7,0.0000036232634,0.0000131554325],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9960387,0.001181566,0.0010397312,0.00045789557,0.00080660975,0.00047549795],"domain_scores_gemma":[0.99376154,0.004197566,0.00025400255,0.0007589472,0.0008471941,0.00018075552],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02486846,0.00012304947,0.00042278957,0.00012750406,0.0007130482,0.000108035136,0.00092967536,0.00010190972,0.000008844757],"category_scores_gemma":[0.005414079,0.000088195884,0.000051604184,0.0007445212,0.0013835788,0.0003970035,0.00026958427,0.0009318649,6.935647e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028628838,0.00021638464,0.9874949,0.00015558189,0.000019326668,0.0000032844953,0.0005467918,0.00005721184,0.0020808685,0.000077630866,0.000012444922,0.0090493],"study_design_scores_gemma":[0.00033683065,0.000054008393,0.99036604,0.00019205238,0.000013754397,7.878251e-7,0.0023425568,0.00011305897,0.0007888943,0.0054797167,0.00024148232,0.000070805465],"about_ca_topic_score_codex":0.76618725,"about_ca_topic_score_gemma":0.8814646,"teacher_disagreement_score":0.11527739,"about_ca_system_score_codex":0.0006423281,"about_ca_system_score_gemma":0.004720464,"threshold_uncertainty_score":0.86189616},"labels":[],"label_agreement":null},{"id":"W4412902429","doi":"10.1016/j.compenvurbsys.2025.102331","title":"Wheelchair accessibility to public facilities via transits and analysis of delay factors—A case study of Shanghai, China","year":2025,"lang":"en","type":"article","venue":"Computers Environment and Urban Systems","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Tongji University; National Natural Science Foundation of China","keywords":"China; Geography; Wheelchair; Transport engineering; Public transport; Engineering; Political science; Archaeology","score_opus":0.023472743979658903,"score_gpt":0.26172899566381563,"score_spread":0.23825625168415673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412902429","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98669165,0.00074828096,0.011319415,0.00004987699,0.00016206347,0.0007911147,0.00005900433,0.000025311321,0.00015326576],"genre_scores_gemma":[0.99957776,0.000015227021,0.000034048302,0.00000740858,0.000015726411,0.000015941658,0.000009753067,0.0000044648873,0.0003196683],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99813104,0.00027680743,0.0005618807,0.00048450002,0.00031716036,0.00022863815],"domain_scores_gemma":[0.9992036,0.00011976484,0.00015133961,0.00033493355,0.000026394799,0.00016394511],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006664209,0.00018512736,0.0006470518,0.00033187546,0.00027076798,0.0000823558,0.00022736401,0.00008701341,0.000024977648],"category_scores_gemma":[0.000008909816,0.0001610304,0.00010514443,0.00056465407,0.00028619813,0.00024868717,0.000080263635,0.00007357982,1.6734501e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013412003,0.000289876,0.94781524,0.00011172151,0.00045004653,0.000011589371,0.049757067,0.00012522121,0.000029917748,0.00005937213,0.000028233835,0.0013082884],"study_design_scores_gemma":[0.0003863513,0.00013394907,0.971486,0.0000223269,0.00041537182,5.3724983e-7,0.025520332,0.0014176862,0.000014147265,0.000015244522,0.0004255585,0.00016252865],"about_ca_topic_score_codex":0.011284389,"about_ca_topic_score_gemma":0.0037633474,"teacher_disagreement_score":0.024236735,"about_ca_system_score_codex":0.00006469897,"about_ca_system_score_gemma":0.000025050465,"threshold_uncertainty_score":0.9952996},"labels":[],"label_agreement":null},{"id":"W4412925673","doi":"10.1080/13658816.2025.2533326","title":"3D walking accessibility in practice: exploring the imperfections from data, method, and assumptions of human-space interaction","year":2025,"lang":"en","type":"article","venue":"International Journal of Geographical Information Systems","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"University Grants Committee","keywords":"Space (punctuation); Computer science; Data science; Geography; Human–computer interaction","score_opus":0.0634357057168787,"score_gpt":0.42570827147946316,"score_spread":0.3622725657625845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412925673","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9590264,0.0004125169,0.031184636,0.0025994384,0.0027370623,0.0002541262,0.00005687478,0.000017120265,0.0037118404],"genre_scores_gemma":[0.99878687,0.00031196562,0.0005978317,0.00006606968,0.00018782512,0.000010387114,0.000026711088,0.0000019407453,0.000010407539],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976713,0.00043730732,0.0010671284,0.00010956274,0.000609956,0.00010476269],"domain_scores_gemma":[0.996847,0.0011268574,0.0008382629,0.00020449815,0.00093687,0.000046539193],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003865859,0.00007836291,0.00019540101,0.000510255,0.00023557847,0.00035481688,0.000657888,0.00007360201,0.000021169628],"category_scores_gemma":[0.0009888225,0.000059622642,0.000075526346,0.0004311396,0.00016104945,0.0068065813,0.00009775805,0.00039307307,8.72881e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020024032,0.00020729567,0.9305644,0.000045387835,0.00044568325,0.0000026212297,0.013599769,0.00047188488,0.00023952867,0.0161292,0.00017372792,0.037920285],"study_design_scores_gemma":[0.0007129456,0.00002957908,0.9351548,0.0004604486,0.00010087972,0.0000055507903,0.02791297,0.0015500159,0.000066449065,0.002036788,0.031857558,0.000112025904],"about_ca_topic_score_codex":0.00808411,"about_ca_topic_score_gemma":0.0017396552,"teacher_disagreement_score":0.039760478,"about_ca_system_score_codex":0.00010627976,"about_ca_system_score_gemma":0.00012019775,"threshold_uncertainty_score":0.99852115},"labels":[],"label_agreement":null},{"id":"W4412966127","doi":"10.1016/j.cities.2025.106270","title":"A methodological framework to generate transit-oriented development (TOD) typologies","year":2025,"lang":"en","type":"article","venue":"Cities","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Transit-oriented development; Development (topology); Process management; Transit (satellite); Regional science; Computer science; Sociology; Business; Transport engineering; Engineering; Public transport; Mathematics","score_opus":0.16156936138887285,"score_gpt":0.4131572598199794,"score_spread":0.25158789843110657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412966127","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8829034,0.00039983314,0.08330094,0.0034222172,0.00071703043,0.00020968186,0.0000044494936,0.00021577037,0.028826648],"genre_scores_gemma":[0.9423234,0.00002371255,0.050767716,0.0012426801,0.00009594945,0.00004539976,0.0000042121233,0.0000036557758,0.0054932865],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.998843,0.00021536459,0.00020935248,0.00025228012,0.00017594118,0.0003040536],"domain_scores_gemma":[0.99934894,0.00033752917,0.00002465073,0.00013611742,0.00007833171,0.00007445743],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078126014,0.000102991435,0.00020495188,0.00007494532,0.0005190254,0.000056091914,0.0002610732,0.00010027778,0.00036162834],"category_scores_gemma":[0.00049284194,0.0000863429,0.000056969642,0.00042812992,0.00031581998,0.000083791914,0.000029179162,0.00013601966,0.000022727883],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020977696,0.00016254277,0.28829443,0.00009898628,0.00013906082,0.00003874945,0.09211681,0.00005182999,0.00037347103,0.5652123,0.0050871465,0.048214898],"study_design_scores_gemma":[0.00026939882,0.000051199433,0.38375035,0.00014872427,0.000044896522,1.8074412e-7,0.033109326,0.0000043391337,0.012145813,0.11389213,0.45605713,0.00052652264],"about_ca_topic_score_codex":0.00026539317,"about_ca_topic_score_gemma":0.0010078892,"teacher_disagreement_score":0.45132017,"about_ca_system_score_codex":0.000067250745,"about_ca_system_score_gemma":0.00024854502,"threshold_uncertainty_score":0.39919758},"labels":[],"label_agreement":null},{"id":"W4412999564","doi":"10.1016/j.tranpol.2025.103762","title":"Advancing the design and implementation of accessible taxi services: A study of driver and disabled rider experiences","year":2025,"lang":"en","type":"article","venue":"Transport Policy","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Holland Bloorview Kids Rehabilitation Hospital; Toronto Rehabilitation Institute; University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Transport engineering; Business; Marketing; Engineering; Disabled people; Psychology; Applied psychology","score_opus":0.01673274596631473,"score_gpt":0.3686197717675022,"score_spread":0.35188702580118747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412999564","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975828,0.00014064951,0.00046033415,0.00034341228,0.00003275323,0.00070638774,0.0000059910785,0.00001624582,0.00071142917],"genre_scores_gemma":[0.9995515,0.00008324735,0.00013952925,0.0000665845,0.000026571108,0.00005341768,0.0000019534757,0.0000037757081,0.00007344307],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998986,0.000090516434,0.000335534,0.00019607513,0.00020438143,0.00018751608],"domain_scores_gemma":[0.9995379,0.000091872316,0.00012786845,0.0001392219,0.000057574576,0.00004560404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005038864,0.00009227734,0.00020237983,0.00008285288,0.0002825195,0.00002094158,0.00021200959,0.000034699657,0.00008058512],"category_scores_gemma":[0.0000053060853,0.00006591563,0.00002773962,0.0005081842,0.00031887318,0.00039105274,0.000012140346,0.000048309776,8.278186e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002711952,0.000083197905,0.77936256,0.00008637773,0.00002396204,4.4816127e-7,0.21777867,0.0000085507745,0.00017472314,0.0009723537,0.000004438698,0.0014775794],"study_design_scores_gemma":[0.0005518708,0.00005480873,0.7413653,0.000030050009,0.00006300544,3.028909e-8,0.2554544,0.000009273615,0.0010713096,0.0011843329,0.0001539211,0.000061692204],"about_ca_topic_score_codex":0.053821724,"about_ca_topic_score_gemma":0.04854674,"teacher_disagreement_score":0.037997276,"about_ca_system_score_codex":0.000015989319,"about_ca_system_score_gemma":0.00019979598,"threshold_uncertainty_score":0.9688148},"labels":[],"label_agreement":null},{"id":"W4413030418","doi":"10.1080/14733285.2025.2527631","title":"Constrained yet agentic: young men and women's everyday negotiations to daily mobility in rural Ghana","year":2025,"lang":"en","type":"article","venue":"Children s Geographies","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Negotiation; Gender studies; Sociology; Political science; Economic growth; Psychology; Economics; Social science","score_opus":0.0055291478336322135,"score_gpt":0.254920098549215,"score_spread":0.2493909507155828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413030418","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98899066,0.0003386172,0.00002940093,0.0008927748,0.00016912376,0.0006019407,0.000050722283,0.00008989885,0.008836886],"genre_scores_gemma":[0.9989774,0.000083751554,0.00006893786,0.00015862964,0.000034477456,0.000064109525,0.000025771313,0.0000048218944,0.0005820862],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986422,0.00010605659,0.00028997243,0.0003300177,0.00020381021,0.0004279228],"domain_scores_gemma":[0.9994321,0.000088794106,0.0000470283,0.00022622103,0.00006048753,0.00014536316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063556223,0.00014338535,0.00023416556,0.000413897,0.00047581107,0.00014452275,0.00025918175,0.000090394635,0.00014904972],"category_scores_gemma":[0.00012342294,0.00014132776,0.000072211595,0.0016853731,0.000755494,0.00030214363,0.000054539716,0.00012980975,0.0000039585866],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017380002,0.00009283702,0.98499465,0.000009332448,0.0000371503,7.6298454e-7,0.011539297,0.0000014476302,0.000022293552,0.0014187797,0.00038941565,0.0014766474],"study_design_scores_gemma":[0.00036145246,0.000014871388,0.98138314,0.000027606138,0.000020261525,1.10552016e-7,0.013200243,0.0000031605812,0.000021791178,0.004669635,0.00015280863,0.00014491806],"about_ca_topic_score_codex":0.006771015,"about_ca_topic_score_gemma":0.015704852,"teacher_disagreement_score":0.009986779,"about_ca_system_score_codex":0.000052865566,"about_ca_system_score_gemma":0.00010013871,"threshold_uncertainty_score":0.999843},"labels":[],"label_agreement":null},{"id":"W4413074870","doi":"10.1155/atr/2577877","title":"Assessing the Spatial Sustainability of Urban Bus Transit: A Socioeconomic Sustainability Perspective","year":2025,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Transport engineering; Sustainability; Service (business); Bus rapid transit; Public transport; TRIPS architecture; Computer science; Business; Engineering","score_opus":0.008007153738193122,"score_gpt":0.338020131815412,"score_spread":0.3300129780772189,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413074870","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96960855,0.0004472102,0.022522707,0.005851168,0.0003973934,0.0005235314,0.000009862249,0.000018195253,0.00062140805],"genre_scores_gemma":[0.9993936,0.00003705731,0.00029799642,0.000045943692,0.00013042171,0.000007062251,0.0000039284055,0.00000748211,0.00007651156],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99794257,0.00025088913,0.00094298634,0.00023103402,0.00035760298,0.00027494988],"domain_scores_gemma":[0.9961686,0.0003308105,0.0006890622,0.00020090808,0.002535725,0.00007485766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017222618,0.00014613495,0.00040088943,0.00013441083,0.00042605645,0.00006044271,0.00034631277,0.00011535689,0.00005367273],"category_scores_gemma":[0.0003494447,0.00011676275,0.00036421235,0.00037668904,0.00071577914,0.0013543083,0.0000022384736,0.00036668585,1.5305626e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007201709,0.0005496951,0.8230242,0.00037373413,0.00016628567,0.000017599423,0.11944035,0.00935683,0.00033126964,0.026626933,0.00003637694,0.01935653],"study_design_scores_gemma":[0.0006817681,0.00006065455,0.78517514,0.000035569883,0.0001393616,1.3461406e-7,0.14724743,0.000011515326,0.00035634852,0.06567213,0.00052914093,0.0000908121],"about_ca_topic_score_codex":0.002220065,"about_ca_topic_score_gemma":0.0055680764,"teacher_disagreement_score":0.039045192,"about_ca_system_score_codex":0.0011456084,"about_ca_system_score_gemma":0.00253009,"threshold_uncertainty_score":0.47614467},"labels":[],"label_agreement":null},{"id":"W4413118551","doi":"10.1016/j.jth.2025.102139","title":"The health and socioeconomic impacts of free transportation initiatives: A scoping review","year":2025,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Saskatchewan","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Socioeconomic status; Environmental planning; Environmental health; Business; Geography; Medicine","score_opus":0.03139174576676557,"score_gpt":0.39284509077839025,"score_spread":0.3614533450116247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413118551","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.63449043,0.29684737,0.0007677888,0.06557563,0.00042092425,0.0011803283,0.000058446487,0.000018361427,0.0006407197],"genre_scores_gemma":[0.775369,0.22178498,0.00022019037,0.0025355017,0.000058234084,0.0000032725072,0.000005785526,0.00000574632,0.000017299759],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973949,0.00023369028,0.0016034414,0.00014099652,0.0003007829,0.00032614224],"domain_scores_gemma":[0.9977916,0.00023184574,0.0013517753,0.0001681498,0.00017783836,0.00027882954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042775115,0.00011585791,0.0006628379,0.00008974221,0.0005916311,0.000016704673,0.00031980337,0.00005475374,0.000030068542],"category_scores_gemma":[0.00006924697,0.00008577827,0.00019610327,0.00023119194,0.00032240507,0.00045432287,0.0000019990111,0.00027574316,2.4225088e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029486485,0.00020296729,0.90828425,0.02232712,0.00015672694,0.0000063789485,0.0376765,0.0000032343107,0.0000065299473,0.006373289,0.0016903784,0.02297775],"study_design_scores_gemma":[0.0011707754,0.00043319777,0.94414717,0.04214489,0.000083626575,9.0717634e-7,0.0052361414,8.656065e-7,0.00001792254,0.0036276712,0.0029963625,0.0001404465],"about_ca_topic_score_codex":0.0019755017,"about_ca_topic_score_gemma":0.030675167,"teacher_disagreement_score":0.14087857,"about_ca_system_score_codex":0.00016816145,"about_ca_system_score_gemma":0.006509065,"threshold_uncertainty_score":0.9991231},"labels":[],"label_agreement":null},{"id":"W4413160238","doi":"10.1016/j.tbs.2025.101112","title":"Grocery shopping and related access trips by mode in Canadian time use surveys","year":2025,"lang":"en","type":"article","venue":"Travel Behaviour and Society","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto; Université du Québec à Montréal","funders":"Social Sciences and Humanities Research Council; Social Sciences and Humanities Research Council of Canada; Canada Research Chairs","keywords":"TRIPS architecture; Transport engineering; Business; Poison control; Human factors and ergonomics; Environmental health; Engineering; Medicine","score_opus":0.025324950648700485,"score_gpt":0.3128963004438993,"score_spread":0.2875713497951988,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413160238","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99542254,0.0002624051,0.000038932532,0.0005817972,0.00007704486,0.00022294521,0.00009588316,0.000032670596,0.0032657972],"genre_scores_gemma":[0.9943771,0.00023311563,0.000023810348,0.0001882808,0.000010360943,0.000006978945,0.000050969982,0.0000072294524,0.005102188],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987235,0.00016112198,0.0002358104,0.0003220319,0.00013441396,0.000423132],"domain_scores_gemma":[0.9994895,0.000087044646,0.000034295823,0.00010226338,0.00004180569,0.0002451314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012283848,0.00012389063,0.0002113717,0.000054889497,0.0005056842,0.00023954317,0.0001713218,0.0002544272,0.00008887426],"category_scores_gemma":[0.00003115306,0.00012942993,0.000069786416,0.000405593,0.00027491356,0.0005692889,0.000020803884,0.00025017245,9.135689e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000020469633,0.000030158564,0.99188066,0.000010213234,0.000010970902,0.0000031663442,0.0058476813,4.9507304e-7,0.000056098135,0.00015859894,0.0012597236,0.0007401943],"study_design_scores_gemma":[0.00037183485,0.0000039911674,0.9975488,0.000024705805,0.000029803552,1.2689463e-7,0.0012068031,0.0002073768,0.000019483083,0.00028109358,0.00015819028,0.00014777803],"about_ca_topic_score_codex":0.77035415,"about_ca_topic_score_gemma":0.6461788,"teacher_disagreement_score":0.12417536,"about_ca_system_score_codex":0.0001548081,"about_ca_system_score_gemma":0.00040815384,"threshold_uncertainty_score":0.5277999},"labels":[],"label_agreement":null},{"id":"W4413224807","doi":"10.1155/atr/2626397","title":"Using Geographical Weighting and Knowledge Graph Centrality to Identify Key Management Areas for Shared Bikes","year":2025,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Centrality; Weighting; Computer science; Key (lock); Graph; Data mining; Mathematics; Statistics; Computer security","score_opus":0.029367768213388424,"score_gpt":0.37551949656444295,"score_spread":0.3461517283510545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413224807","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9635007,0.0004936904,0.034359314,0.00042933796,0.00049193954,0.00041092545,0.00002134228,0.000018345912,0.0002744038],"genre_scores_gemma":[0.98150325,0.00013857224,0.018147547,0.00005023288,0.00008298129,0.0000072552634,0.000011419136,0.000006129359,0.0000526215],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987607,0.00004351629,0.0005442791,0.00019498423,0.00022694653,0.00022960268],"domain_scores_gemma":[0.9991973,0.00007605064,0.00021927417,0.00007345639,0.00030197174,0.00013195167],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064637687,0.00010388409,0.00022013212,0.00026706723,0.00034164145,0.00006640128,0.00014945706,0.000062542415,0.000013545811],"category_scores_gemma":[0.000030484243,0.000099283876,0.00016113376,0.0005925171,0.000082044055,0.00059183163,0.000002554288,0.00010458695,1.3963803e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00069796783,0.00031627307,0.9356148,0.00056787586,0.00020641566,0.000016217615,0.016252073,0.0013754627,0.0028742198,0.016839404,0.00008269041,0.025156548],"study_design_scores_gemma":[0.0008135144,0.00003140793,0.97738975,0.00027422846,0.0001835585,1.3428601e-7,0.0026164586,0.000011407347,0.00027854997,0.014389267,0.0039029478,0.00010878753],"about_ca_topic_score_codex":0.000082881146,"about_ca_topic_score_gemma":0.002025123,"teacher_disagreement_score":0.041774888,"about_ca_system_score_codex":0.00006292993,"about_ca_system_score_gemma":0.0000749735,"threshold_uncertainty_score":0.4048679},"labels":[],"label_agreement":null},{"id":"W4413276822","doi":"10.1186/s12889-025-23838-2","title":"Bikeability cycle training: a route to increasing young people’s subjective wellbeing? A retrospective cohort study","year":2025,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bishop's University","funders":"","keywords":"Biostatistics; Medicine; Retrospective cohort study; Public health; Epidemiology; Cohort study; Cohort; Gerontology; Environmental health; Nursing; Surgery; Internal medicine","score_opus":0.033184502350140324,"score_gpt":0.3488215532864415,"score_spread":0.3156370509363012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413276822","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95687115,0.000035000678,0.0023278054,0.005213973,0.00060405285,0.0032546006,0.000032423,0.0003467353,0.03131427],"genre_scores_gemma":[0.9979047,0.0000044289673,0.0006034733,0.0005255875,0.00019924546,0.00021222122,0.000011823279,0.000017057991,0.00052143855],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9944207,0.0018473214,0.0007173393,0.0010426729,0.0008358641,0.0011360919],"domain_scores_gemma":[0.9977086,0.0003858693,0.00020402772,0.0006004575,0.00040146866,0.0006995473],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.014277005,0.00024297157,0.00070456334,0.00030907575,0.0016458557,0.00036800763,0.00057900185,0.00012704548,0.00010573266],"category_scores_gemma":[0.003304278,0.00024551954,0.00014400177,0.0028900187,0.00020608112,0.0006376273,0.000097659555,0.00038409856,0.000011095421],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046295216,0.00052835554,0.9035043,0.000028657461,0.000037108864,8.9440823e-7,0.09240291,0.0000011965427,0.0000010511264,0.0024843952,0.00007601411,0.0008887966],"study_design_scores_gemma":[0.00043803084,0.00012387191,0.9558893,0.000024422128,0.000017104152,2.1934389e-7,0.040858746,0.000030627558,5.737377e-7,0.0016258997,0.0007906647,0.00020057062],"about_ca_topic_score_codex":0.24117357,"about_ca_topic_score_gemma":0.6255076,"teacher_disagreement_score":0.38433406,"about_ca_system_score_codex":0.0030627507,"about_ca_system_score_gemma":0.0071610343,"threshold_uncertainty_score":0.9999997},"labels":[],"label_agreement":null},{"id":"W4413288572","doi":"10.1007/s42413-025-00263-2","title":"Built Environment and Physical Activity Evidence Gaps: A Content Analysis of Published Systematic Reviews","year":2025,"lang":"en","type":"article","venue":"International Journal of Community Well-Being","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Public Health Agency of Canada; University of Ottawa","funders":"Government of Canada; Public Health Agency of Canada; World Bank Group","keywords":"Content analysis; Systematic review; Content (measure theory); Psychology; Environmental science; MEDLINE; Sociology; Chemistry; Social science; Mathematics; Biochemistry","score_opus":0.08216924690404372,"score_gpt":0.3785942765772798,"score_spread":0.2964250296732361,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413288572","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99298155,0.00090602203,0.0018169578,0.0018613102,0.00018713073,0.00021818806,0.0000018210052,0.000005287638,0.0020217365],"genre_scores_gemma":[0.9986375,0.00097437744,0.0000664311,0.00010599985,0.00005395196,0.0000050294666,0.0000013636836,0.000002522627,0.0001528065],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99729025,0.0012040631,0.00065962283,0.00008034829,0.00065484154,0.00011085904],"domain_scores_gemma":[0.99681413,0.0016434311,0.00085234095,0.00026823676,0.0003512078,0.0000706526],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00453204,0.00010132892,0.0006636619,0.00034980258,0.00021357903,0.00014129076,0.00095850177,0.0000440344,0.000069376474],"category_scores_gemma":[0.0016682139,0.00008038261,0.00035281546,0.00036044623,0.000247594,0.0008430152,0.00012186455,0.00042854645,0.0000011088731],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038469568,0.0023610927,0.88838285,0.0040117158,0.0064568436,0.000019927968,0.072515376,0.00022897118,0.0064002336,0.0078906035,0.00024454657,0.011103123],"study_design_scores_gemma":[0.0008357148,0.00012107966,0.9576603,0.01236665,0.0037571082,0.0000023905693,0.009652067,0.00097214035,0.0026032971,0.010509517,0.0012337128,0.00028601117],"about_ca_topic_score_codex":0.0030196856,"about_ca_topic_score_gemma":0.0009821939,"teacher_disagreement_score":0.069277436,"about_ca_system_score_codex":0.00019238146,"about_ca_system_score_gemma":0.00008970793,"threshold_uncertainty_score":0.45648813},"labels":[],"label_agreement":null},{"id":"W4413289676","doi":"10.1016/j.trip.2025.101567","title":"Unravelling experiences of transit captivity with time-geography: The case of commuters in Jakarta Metropolitan area","year":2025,"lang":"en","type":"article","venue":"Transportation Research Interdisciplinary Perspectives","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Encana (Canada)","funders":"Institut Teknologi Bandung; Rijksuniversiteit Groningen","keywords":"Metropolitan area; Captivity; Transit (satellite); Geography; Economic geography; Regional science; Transport engineering; Socioeconomics; Sociology; Archaeology; Engineering; Public transport","score_opus":0.03907320136039124,"score_gpt":0.4008090981981197,"score_spread":0.3617358968377285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413289676","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9877972,0.00041121538,0.0010910004,0.0013884065,0.000034169152,0.0006037104,0.00004517634,0.000021639917,0.008607491],"genre_scores_gemma":[0.9995131,0.00004023946,0.00016012325,0.000003991267,0.000013104467,0.00007583236,0.000009287392,0.0000073333968,0.00017701252],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99779576,0.0005174734,0.000445493,0.00037674862,0.00048495765,0.00037953697],"domain_scores_gemma":[0.9984069,0.00061787496,0.00010803017,0.0003061142,0.00048695272,0.00007415855],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0017774333,0.00014259151,0.00032625164,0.00057588,0.0006388314,0.000032062268,0.00048435194,0.0000770007,0.00024774807],"category_scores_gemma":[0.000028594879,0.00010177416,0.00015002296,0.0019463426,0.0038569123,0.00037958115,0.000017198872,0.00039276676,5.8344006e-7],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006673582,0.00049710245,0.13768712,0.00009707728,0.00010292048,0.00012001107,0.84676856,0.00018545688,0.00028125654,0.013218633,0.000022660126,0.00035184127],"study_design_scores_gemma":[0.0003199469,0.00016616021,0.17978449,0.0001632956,0.000024420257,4.510268e-7,0.81502074,0.00010647362,0.00095400756,0.0033638063,0.000007063329,0.00008917133],"about_ca_topic_score_codex":0.02075802,"about_ca_topic_score_gemma":0.10530399,"teacher_disagreement_score":0.08454596,"about_ca_system_score_codex":0.00016232223,"about_ca_system_score_gemma":0.00027540518,"threshold_uncertainty_score":0.99885404},"labels":[],"label_agreement":null},{"id":"W4413323483","doi":"10.32866/001c.143380","title":"Exploring the (Mis)match between Reported and Calculated Commute Travel Times","year":2025,"lang":"en","type":"article","venue":"Findings","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Transport engineering; Computer science; Statistics; Mathematics; Engineering","score_opus":0.10477115554353804,"score_gpt":0.32838591348521234,"score_spread":0.2236147579416743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413323483","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9766756,0.00006863227,0.00006634728,0.0033410338,0.00015021801,0.00018109019,0.0000063848893,0.000077243305,0.019433435],"genre_scores_gemma":[0.9958094,0.000022660919,0.000042450793,0.00009523627,0.00006349585,0.000013357428,0.000010400129,0.0000049327155,0.0039381166],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99913174,0.000055965294,0.0002249482,0.00019290925,0.00016970788,0.00022474742],"domain_scores_gemma":[0.99950564,0.00016647688,0.000050398517,0.00018426371,0.00003885607,0.000054385022],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074696745,0.00008333084,0.00015322496,0.000045949764,0.0007797212,0.000100093035,0.00022937775,0.00005762209,0.000082218234],"category_scores_gemma":[0.00009321013,0.0000623638,0.000048422455,0.00041686834,0.00027826848,0.0003206084,0.0000260535,0.0001680765,0.000005575495],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005941631,0.000013083882,0.97865295,0.000015682519,0.0000502414,0.000004841073,0.013669538,1.5719486e-7,0.00011826326,0.0018833095,0.0011770288,0.0044089356],"study_design_scores_gemma":[0.00013494851,0.0000046248524,0.9839214,0.000039583938,0.000053143853,1.0802953e-7,0.002077016,0.0000057317043,0.0009552786,0.0017820131,0.010940927,0.000085198095],"about_ca_topic_score_codex":0.0036147486,"about_ca_topic_score_gemma":0.00054247153,"teacher_disagreement_score":0.019133734,"about_ca_system_score_codex":0.00003387874,"about_ca_system_score_gemma":0.00006531924,"threshold_uncertainty_score":0.59970635},"labels":[],"label_agreement":null},{"id":"W4413330970","doi":"10.1038/s41598-025-16108-z","title":"The impact of objective urban features on perception of neighbourhood environments","year":2025,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Japan Society for the Promotion of Science; Canadian Institutes of Health Research","keywords":"Neighbourhood (mathematics); Perception; Computer science; Geography; Data science; Psychology; Mathematics; Neuroscience","score_opus":0.008851135522469229,"score_gpt":0.3023967131920249,"score_spread":0.29354557766955564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413330970","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9581446,0.000113329814,0.000022813161,0.000073661555,0.0015603586,0.00026361653,0.000004104269,0.000010981699,0.03980655],"genre_scores_gemma":[0.9893222,0.0000079218835,0.000011477805,0.0000038180515,0.000030477717,0.0000053011263,0.0000074742143,0.000002784962,0.010608563],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985373,0.00009504494,0.0003371107,0.0003350351,0.00049633783,0.00019917819],"domain_scores_gemma":[0.9990171,0.00007393016,0.00029613503,0.00049590186,0.000070220834,0.000046720976],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016063229,0.00007978755,0.00013916013,0.00008406245,0.00067186105,0.0000827276,0.00019589515,0.000062794454,0.00016159283],"category_scores_gemma":[0.00018226054,0.00005025098,0.00019506323,0.00045621392,0.0010125485,0.00013557229,0.000020802405,0.00008975793,0.0000020684697],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004499749,0.0002417047,0.9647802,0.000009201051,0.00005154311,0.0000056271415,0.0072103213,0.00004464891,0.012560473,0.00075785187,0.007384292,0.0069091255],"study_design_scores_gemma":[0.00005514103,0.000031443215,0.9826685,0.00002633474,0.000015222111,1.8230867e-7,0.0015139298,0.0000028088668,0.003775967,0.010521662,0.0013401664,0.000048646045],"about_ca_topic_score_codex":0.0021594337,"about_ca_topic_score_gemma":0.00047733544,"teacher_disagreement_score":0.031177595,"about_ca_system_score_codex":0.00013600291,"about_ca_system_score_gemma":0.00030164418,"threshold_uncertainty_score":0.51674795},"labels":[],"label_agreement":null},{"id":"W4413368963","doi":"10.1155/atr/4424886","title":"Exploring the Impact of Innovation Resistance on Public Adoption of Urban Air Mobility: Environmental Concern and Innovativeness as Moderators","year":2025,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities; Civil Aviation Administration of China","keywords":"Resistance (ecology); Business; Environmental planning; Environmental science","score_opus":0.0466736685865259,"score_gpt":0.32210617247571083,"score_spread":0.27543250388918494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413368963","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99772036,0.00016146811,0.0013993179,0.00023750552,0.000111564936,0.00020562338,0.000023004037,0.000005801236,0.00013535492],"genre_scores_gemma":[0.999542,0.00016625025,0.00018928034,0.000017545677,0.000030624815,0.000006915723,0.000017270439,0.000004866608,0.00002523718],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99861455,0.000073263596,0.0007447098,0.00012016385,0.00033922296,0.00010808416],"domain_scores_gemma":[0.9986742,0.0001064718,0.00073885574,0.000099361205,0.0003545579,0.00002655305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007062358,0.00009298808,0.000217332,0.00020421795,0.00014608764,0.000011379906,0.000120035395,0.000041787058,0.000009192087],"category_scores_gemma":[0.000080046964,0.00006993767,0.00007221166,0.0009379096,0.00028055994,0.0011447734,0.0000015360588,0.00015501156,7.6140836e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014929458,0.00043777344,0.8978736,0.00013538476,0.00013686111,0.000002660628,0.019333662,0.008093123,0.022290645,0.031862583,0.000010024549,0.018330768],"study_design_scores_gemma":[0.0005399359,0.00013383245,0.9847185,0.00015522003,0.000021683343,5.168606e-8,0.004372879,0.0000045034235,0.0059089214,0.0039168005,0.00017015252,0.00005754198],"about_ca_topic_score_codex":0.00008481852,"about_ca_topic_score_gemma":0.00019558336,"teacher_disagreement_score":0.08684491,"about_ca_system_score_codex":0.00014155211,"about_ca_system_score_gemma":0.00024983066,"threshold_uncertainty_score":0.28519753},"labels":[],"label_agreement":null},{"id":"W4413429320","doi":"10.3390/su17177577","title":"Cycling and GHG Emissions: How Infrastructure Makes All the Difference","year":2025,"lang":"en","type":"article","venue":"Sustainability","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University; Polytechnique Montréal","funders":"Fonds de recherche du Québec – Nature et technologies","keywords":"Cycling; Greenhouse gas; Environmental science; Business; Green infrastructure; Natural resource economics; Environmental resource management; Economics; Geology; Geography; Forestry","score_opus":0.010005870316510877,"score_gpt":0.31184959822738045,"score_spread":0.30184372791086955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413429320","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96377015,0.00041671997,0.00050560245,0.032246713,0.00014574769,0.00046869853,0.0000043548316,0.00007605268,0.0023659451],"genre_scores_gemma":[0.9959963,0.000037002425,0.00007145652,0.00030597448,0.000059844882,0.000021106516,0.0000021112642,0.0000031185268,0.0035030763],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986944,0.0002891475,0.0001538542,0.0003316731,0.00019780359,0.00033312815],"domain_scores_gemma":[0.9988204,0.0003983153,0.000050124097,0.00035303418,0.00028907676,0.00008902991],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094806077,0.0001152443,0.00015069186,0.00003335614,0.0010186688,0.00018481845,0.0003481981,0.00012095933,0.000051700852],"category_scores_gemma":[0.0025514252,0.00007402808,0.000059956976,0.00033277393,0.000988203,0.00015870809,0.00007937521,0.0003123663,2.1310086e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015526133,0.0000234287,0.960069,0.00008934534,0.000008825272,0.00000144262,0.0053105284,0.0000010150536,0.000021873371,0.010799814,0.0002688384,0.02339036],"study_design_scores_gemma":[0.00007961536,0.000004405883,0.7351559,0.000009768801,0.000016038455,3.5647712e-8,0.010862189,0.000011986298,0.000039274306,0.24151151,0.012243608,0.00006567563],"about_ca_topic_score_codex":0.0015499447,"about_ca_topic_score_gemma":0.0018627875,"teacher_disagreement_score":0.23071168,"about_ca_system_score_codex":0.00024757255,"about_ca_system_score_gemma":0.0006102577,"threshold_uncertainty_score":0.7834879},"labels":[],"label_agreement":null},{"id":"W4413485187","doi":"10.64628/aam.3fepm3hpd","title":"Why bike lanes should remain on Ontario’s roads","year":2025,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"York University","funders":"","keywords":"Transport engineering; Business; Environmental science; Environmental planning; Engineering","score_opus":0.04064818893430612,"score_gpt":0.3313020442205395,"score_spread":0.2906538552862334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413485187","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42520806,0.000021632419,0.00010794221,0.0069765574,0.00029110297,0.00010140667,9.864384e-7,0.00009506174,0.56719726],"genre_scores_gemma":[0.83382165,0.000003461004,0.0001033247,0.0047332,0.000069295806,0.0000048363677,0.0000038669145,0.0000023879745,0.16125795],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99918723,0.0000472497,0.00013281275,0.00020921313,0.00021803804,0.00020545989],"domain_scores_gemma":[0.9996502,0.000064770175,0.000019943971,0.00017730864,0.000031669857,0.000056116955],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00037812747,0.00007374649,0.0001111047,0.00005373679,0.00028217793,0.000063124266,0.00022773362,0.00009256433,0.003701195],"category_scores_gemma":[0.000033224456,0.00005810957,0.00006221526,0.00024069473,0.00010975971,0.00011498445,0.00001166048,0.00012718982,0.000045058358],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019528987,0.00008219969,0.8787443,0.0000062777463,0.000010556853,0.000004067115,0.0024050318,0.0000017676136,0.000017873668,0.05249824,0.06438725,0.001822923],"study_design_scores_gemma":[0.00011318952,0.000013306378,0.3047908,0.000015097806,0.000009471598,8.813118e-9,0.00051733066,0.000002041443,0.00016248164,0.0073809894,0.6869106,0.00008465454],"about_ca_topic_score_codex":0.36521167,"about_ca_topic_score_gemma":0.9384479,"teacher_disagreement_score":0.62252337,"about_ca_system_score_codex":0.00012302249,"about_ca_system_score_gemma":0.00023401537,"threshold_uncertainty_score":0.99720955},"labels":[],"label_agreement":null},{"id":"W4413498364","doi":"10.64628/aam.uwx4y3fp5","title":"How Canada’s first national cycling map will benefit both riders and public planners","year":2023,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Cycling; Public administration; Political science; Transport engineering; Business; Aeronautics; Engineering; Geography; Archaeology","score_opus":0.031627309130700644,"score_gpt":0.2642345980948892,"score_spread":0.23260728896418856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413498364","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83908194,0.00007834408,0.000025341022,0.13441408,0.0004094629,0.00013335026,0.000046102556,0.00017193511,0.025639463],"genre_scores_gemma":[0.9884557,0.000020371324,0.000044350465,0.00035073314,0.0001442934,0.0000044692024,0.000035147663,0.000004936907,0.010939982],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.998916,0.000011629406,0.000095843796,0.00020028523,0.00048425648,0.00029204192],"domain_scores_gemma":[0.9995857,0.000113012364,0.000032516415,0.00005712804,0.0000614255,0.00015022713],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031114818,0.00006744327,0.00008036002,0.00005435731,0.0005999693,0.00020572748,0.00014370456,0.00004828904,0.00017284037],"category_scores_gemma":[0.00009579174,0.00006137489,0.000023348552,0.00024334314,0.00012363149,0.00051242905,0.000015366337,0.00006344287,0.0000031547736],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000028778377,0.000009878255,0.9213071,0.000016178406,0.000016848253,0.0000066960774,0.0010736596,0.000021553748,0.0000031828683,0.01327771,0.063810445,0.0004538784],"study_design_scores_gemma":[0.00022095405,0.0000057472676,0.45958456,0.000009701194,0.0000066488783,1.1107503e-7,0.009578251,0.00025931108,0.000009723934,0.0056614084,0.5244406,0.00022298576],"about_ca_topic_score_codex":0.65461665,"about_ca_topic_score_gemma":0.99543506,"teacher_disagreement_score":0.46172252,"about_ca_system_score_codex":0.00013189038,"about_ca_system_score_gemma":0.00068230793,"threshold_uncertainty_score":0.46145394},"labels":[],"label_agreement":null},{"id":"W4413505091","doi":"10.64628/aam.a66tumftw","title":"How our public spaces can be safer and more welcoming for children","year":2024,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"SAFER; Internet privacy; Computer science; Business; Political science; Public relations; Computer security","score_opus":0.0371138995067224,"score_gpt":0.3113454623083727,"score_spread":0.2742315628016503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413505091","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81977427,0.0004971758,0.00028753493,0.17608656,0.00021172254,0.00027202134,0.00003495489,0.00014767687,0.0026880717],"genre_scores_gemma":[0.9866012,0.000019163954,0.0003291855,0.00020793812,0.00033614945,0.0000122606925,0.000014002376,0.0000072512294,0.012472872],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993192,0.000015297735,0.0000681299,0.0002273186,0.00014139114,0.00022868552],"domain_scores_gemma":[0.99974805,0.000034648947,0.000013222115,0.00007516426,0.000028945662,0.000099957324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000285944,0.00007098515,0.00009063067,0.000042823147,0.00030330004,0.0007968796,0.000121122706,0.000056907327,0.000049058777],"category_scores_gemma":[0.00003873928,0.000054034615,0.000050672697,0.00014802068,0.00008431017,0.0004124017,0.000013502199,0.000060821327,7.0539613e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004872174,0.000024908337,0.92496073,0.00005366297,0.000053942425,0.0000022481386,0.010385797,9.0703345e-8,0.000046675483,0.03304247,0.014075332,0.017349282],"study_design_scores_gemma":[0.00038810895,0.000037533347,0.74166125,0.0000379036,0.00007868792,6.085884e-7,0.029780969,0.00010283682,0.00035785334,0.00681038,0.22028178,0.0004620759],"about_ca_topic_score_codex":0.0031198878,"about_ca_topic_score_gemma":0.030095939,"teacher_disagreement_score":0.20620644,"about_ca_system_score_codex":0.000022702488,"about_ca_system_score_gemma":0.00010532009,"threshold_uncertainty_score":0.9876023},"labels":[],"label_agreement":null},{"id":"W4413525973","doi":"10.64628/aam.mdxgpt3hs","title":"The 15-minute city is a popular planning approach, but relies on ableist assumptions","year":2023,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Sociology; Computer science; Aesthetics; Political science; Art","score_opus":0.09172168863474951,"score_gpt":0.34408323196430685,"score_spread":0.25236154332955735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413525973","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83673435,0.00009627786,0.00022183415,0.003791812,0.0002589971,0.00021670834,0.000020124915,0.00039547338,0.15826444],"genre_scores_gemma":[0.93351,0.000054591805,0.00018712932,0.00027759807,0.00019279578,0.000027392516,0.000020130816,0.0000074783275,0.06572289],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987161,0.0000682841,0.00018042693,0.0002626151,0.00040306197,0.00036950374],"domain_scores_gemma":[0.99943197,0.00012446911,0.000050095183,0.00026553267,0.00003946071,0.00008844832],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.000873266,0.000094720424,0.00011052813,0.000043988104,0.0021089108,0.00019811494,0.00035852796,0.00008191412,0.00017706594],"category_scores_gemma":[0.000085516025,0.00006302388,0.000092760194,0.00047849183,0.0002843752,0.00017318351,0.000027199052,0.00016823318,0.00013301427],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003215461,0.0001195112,0.8480295,0.000019519875,0.00004644701,0.000011557872,0.015871033,0.000060121016,0.000029904148,0.03059585,0.1026574,0.0025269792],"study_design_scores_gemma":[0.00022787378,0.000032655847,0.69818944,0.000028479984,0.000033799195,1.6585696e-7,0.027480789,0.00047072096,0.000100256955,0.013817944,0.25929135,0.00032651893],"about_ca_topic_score_codex":0.003848363,"about_ca_topic_score_gemma":0.0024690083,"teacher_disagreement_score":0.15663396,"about_ca_system_score_codex":0.00004424731,"about_ca_system_score_gemma":0.00006515911,"threshold_uncertainty_score":0.9991902},"labels":[],"label_agreement":null},{"id":"W4413544057","doi":"10.64628/aap.nhwk7vv37","title":"Le transport collectif à la demande, un moyen efficace d’améliorer l’accessibilité en banlieue","year":2024,"lang":"fr","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Political science; Humanities; Art","score_opus":0.010859761773292698,"score_gpt":0.2772115848909296,"score_spread":0.26635182311763694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413544057","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65794754,0.013513692,0.0021397548,0.015295767,0.0025011562,0.0007268557,0.000106664615,0.000623748,0.30714482],"genre_scores_gemma":[0.8216758,0.0005335032,0.0005406825,0.0002910239,0.0007259603,0.00004568182,0.00003285798,0.00006196317,0.17609254],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9954565,0.000587215,0.0008858746,0.0012949079,0.0007950354,0.0009804795],"domain_scores_gemma":[0.9977316,0.0010506066,0.00008752922,0.0005393016,0.0001234207,0.0004674899],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0022845499,0.00050358725,0.00062486116,0.00018523865,0.0007532625,0.00040167014,0.00089152873,0.0007735526,0.0083593605],"category_scores_gemma":[0.000069839836,0.00046712742,0.0005908406,0.0026773848,0.0012589085,0.0012671541,0.000047626338,0.00080442626,0.0003989685],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002529266,0.0030241383,0.22588445,0.0022444201,0.0010946755,0.001628979,0.052947443,0.0003027193,0.00041202924,0.52682227,0.025429271,0.15995665],"study_design_scores_gemma":[0.0008516981,0.00009503209,0.16243413,0.0003842211,0.0004970054,0.000009415976,0.0025151784,0.001079725,0.001161743,0.017675316,0.81227857,0.0010179417],"about_ca_topic_score_codex":0.017764356,"about_ca_topic_score_gemma":0.02363297,"teacher_disagreement_score":0.7868493,"about_ca_system_score_codex":0.00019684309,"about_ca_system_score_gemma":0.0018504155,"threshold_uncertainty_score":0.99977803},"labels":[],"label_agreement":null},{"id":"W4413548609","doi":"10.64628/aam.ptt3cy355","title":"3 ways cities can prepare for climate emergencies","year":2019,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Geography; Business; Environmental planning","score_opus":0.03872951009272841,"score_gpt":0.3044688543086913,"score_spread":0.2657393442159629,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413548609","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8030719,0.0000479649,0.00008602324,0.00043345153,0.0003896292,0.0003386956,0.000043528435,0.00010755878,0.19548123],"genre_scores_gemma":[0.98352814,0.000028515591,0.00028737393,0.00011239382,0.00010875371,0.000022907201,0.00001396122,0.0000049699743,0.015892966],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992714,0.000011824485,0.00012497904,0.00016300178,0.00014735985,0.00028146757],"domain_scores_gemma":[0.9996802,0.00004148318,0.000030719773,0.00012564528,0.00006889336,0.00005302361],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00028641862,0.000057902158,0.00009704537,0.000017422291,0.00027656613,0.000037777405,0.0001661075,0.000043855674,0.0032395062],"category_scores_gemma":[0.000020936708,0.000047529407,0.00007369556,0.00008113123,0.00008570437,0.00016684532,0.000011547894,0.000021702188,0.000028595805],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014134126,0.000019821315,0.93303293,0.00006655164,0.000007948696,1.5014786e-7,0.009951428,0.0000017070604,0.00008966589,0.052133445,0.0042151255,0.00046710603],"study_design_scores_gemma":[0.00067171984,0.00014451599,0.25985357,0.000032721422,0.00004890708,5.6659044e-8,0.06421129,0.00011216041,0.0023472337,0.031602778,0.64030087,0.0006741737],"about_ca_topic_score_codex":0.0026305062,"about_ca_topic_score_gemma":0.037968446,"teacher_disagreement_score":0.6731793,"about_ca_system_score_codex":0.000025204987,"about_ca_system_score_gemma":0.00007840594,"threshold_uncertainty_score":0.99767166},"labels":[],"label_agreement":null},{"id":"W4413550016","doi":"10.64628/aam.j6jf9vr4r","title":"Bike share programs are on the rise, yet the gender gap persists","year":2020,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Gender gap; Business; Political science; Demographic economics; Economics","score_opus":0.1739104762038354,"score_gpt":0.31767897795652417,"score_spread":0.14376850175268877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413550016","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7273329,0.00016462104,0.000013263762,0.08067653,0.00014147897,0.00057915447,0.000016685413,0.00017784143,0.19089755],"genre_scores_gemma":[0.99463856,0.000007491987,0.00001374072,0.0033252414,0.00022979107,0.000022123832,0.000004469943,0.0000059391464,0.0017526159],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989776,0.00010508335,0.00010320969,0.00021998072,0.00036644164,0.0002277116],"domain_scores_gemma":[0.9995399,0.00007252697,0.00004621821,0.00019084706,0.000050484516,0.000099992416],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003161129,0.00008391947,0.00008052753,0.000005596129,0.0006564443,0.00015665722,0.0005372254,0.00005122013,0.0031856764],"category_scores_gemma":[0.00008001565,0.000038185863,0.000107144384,0.00029793373,0.00026209583,0.00009551453,0.000023649052,0.0001624931,0.00016359767],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027810387,0.00016007165,0.86568475,0.000022929979,0.00004060136,0.0000072421635,0.049722392,0.0000017802141,0.000007953074,0.015520634,0.06345671,0.005347147],"study_design_scores_gemma":[0.0002627128,0.00006524795,0.54483855,0.000022442411,0.000047366055,7.694173e-8,0.0756793,0.00011017731,0.00007604845,0.0030868337,0.37551674,0.00029448446],"about_ca_topic_score_codex":0.0004572868,"about_ca_topic_score_gemma":0.0018593352,"teacher_disagreement_score":0.32084617,"about_ca_system_score_codex":0.000019369892,"about_ca_system_score_gemma":0.00005524749,"threshold_uncertainty_score":0.99772555},"labels":[],"label_agreement":null},{"id":"W4413550097","doi":"10.1177/23998083251374724","title":"ActiveCA: Time use data from the general social survey of Canada to study active travel","year":2025,"lang":"en","type":"article","venue":"Environment and Planning B Urban Analytics and City Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Geography","score_opus":0.07940070028413168,"score_gpt":0.3132064063933066,"score_spread":0.23380570610917492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413550097","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984104,0.0000486921,0.00020303339,0.00031799526,0.00005223631,0.00017437516,0.0003782709,0.0000029044704,0.00041208908],"genre_scores_gemma":[0.9989248,0.0000071148133,0.000047593097,0.00012554567,0.000035938487,9.813401e-7,0.000024107361,0.0000017393143,0.0008321764],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987362,0.00010821723,0.00014496486,0.0003836226,0.00042000244,0.00020698362],"domain_scores_gemma":[0.9992926,0.00029484142,0.00006453105,0.00022934587,0.000024340221,0.00009433201],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012429432,0.00008718223,0.00015756427,0.000030787614,0.0010634764,0.00012390547,0.00052972964,0.000027226199,0.000045936617],"category_scores_gemma":[0.00014573666,0.00006754596,0.000010297399,0.0003217126,0.0006475153,0.0002496124,0.00018352683,0.00009848164,2.7191427e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019308975,0.000045445748,0.99223655,5.142892e-7,0.000026016014,0.0000011594959,0.0058049234,0.000007702417,0.00006654519,0.000029528514,0.0011652522,0.0005970262],"study_design_scores_gemma":[0.00010856178,0.000013599428,0.99569815,0.000004420646,0.000035240326,7.916405e-9,0.0025375802,0.0010026359,0.000046312183,0.00004499717,0.00042944532,0.00007901909],"about_ca_topic_score_codex":0.5596641,"about_ca_topic_score_gemma":0.32504514,"teacher_disagreement_score":0.23461892,"about_ca_system_score_codex":0.00006389318,"about_ca_system_score_gemma":0.000346338,"threshold_uncertainty_score":0.81795084},"labels":[],"label_agreement":null},{"id":"W4413552523","doi":"10.64628/aam.7e67xsnv3","title":"Coronavirus pandemic is an opportunity to create affordable cities","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Dalhousie University","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Coronavirus; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Affordable housing; Business; Virology; Economic growth; Medicine; Economics; Infectious disease (medical specialty); Outbreak","score_opus":0.2961251173100966,"score_gpt":0.40849227991702736,"score_spread":0.11236716260693075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413552523","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7877815,0.000113896036,0.0004592912,0.0034598738,0.00059576845,0.0006775309,0.00027210437,0.0005962912,0.20604376],"genre_scores_gemma":[0.9719508,0.00018271619,0.0007315285,0.004610921,0.00048739382,0.000051861734,0.00013717494,0.000023857927,0.02182371],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976586,0.00015383498,0.00039302418,0.00076715276,0.00054331846,0.00048404274],"domain_scores_gemma":[0.99784243,0.000048769503,0.00013022128,0.00055933045,0.00014383876,0.001275413],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007111254,0.00028533113,0.00046359055,0.00006190464,0.00047904544,0.0002904577,0.0010056412,0.0003884984,0.014283002],"category_scores_gemma":[0.00011618381,0.00026975587,0.00018067456,0.00018859627,0.00027188042,0.000312071,0.0003115095,0.0005584871,0.00012176118],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013222451,0.00021272527,0.89721274,0.00017985736,0.00009972915,0.000036038644,0.05978486,0.000020062578,0.000071205766,0.004475598,0.014640664,0.023134314],"study_design_scores_gemma":[0.00064873643,0.00029786894,0.31150034,0.0002555332,0.0003390566,4.7357867e-7,0.03461067,0.00015291927,0.00079627126,0.17574857,0.47276178,0.0028877812],"about_ca_topic_score_codex":0.075925045,"about_ca_topic_score_gemma":0.044335593,"teacher_disagreement_score":0.5857124,"about_ca_system_score_codex":0.00016516315,"about_ca_system_score_gemma":0.0015520852,"threshold_uncertainty_score":0.99997544},"labels":[],"label_agreement":null},{"id":"W4413554421","doi":"10.64628/aam.4jcxdfqwq","title":"Giving up public transit during the coronavirus is a luxury many Canadians can’t afford","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Coronavirus; Public transport; Coronavirus disease 2019 (COVID-19); Transit (satellite); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Business; Virology; Medicine; Transport engineering; Engineering; Internal medicine","score_opus":0.0673442188172641,"score_gpt":0.30525915546375804,"score_spread":0.23791493664649394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413554421","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83343273,0.00055553013,0.00059416296,0.09042125,0.0016599942,0.0011284876,0.0004965241,0.0004118701,0.071299456],"genre_scores_gemma":[0.9735678,0.00015175859,0.00005634729,0.0030655346,0.0005813581,0.000064881395,0.000030003452,0.000034817855,0.022447515],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99706227,0.0001562105,0.0004399489,0.0008207597,0.0006846058,0.00083620305],"domain_scores_gemma":[0.99852526,0.000069333466,0.00015698248,0.0006099501,0.00010592269,0.00053257414],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005353836,0.00034189268,0.00041356633,0.00007703472,0.0012803705,0.0005717221,0.0015456346,0.00038998123,0.006999481],"category_scores_gemma":[0.000048065438,0.00027511897,0.00034595537,0.00034874765,0.00044928744,0.00022663022,0.00016740254,0.000779249,0.000035117126],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010488456,0.00017696315,0.61091393,0.0014471591,0.0007232745,0.00028387384,0.3325989,0.0000521669,0.00028097094,0.013847741,0.017719733,0.02185041],"study_design_scores_gemma":[0.0006822984,0.00002848521,0.5768314,0.00018111707,0.00025733165,0.0000017364767,0.0303815,0.00022762986,0.00033487479,0.008854623,0.38031727,0.0019017138],"about_ca_topic_score_codex":0.5602552,"about_ca_topic_score_gemma":0.8849878,"teacher_disagreement_score":0.36259755,"about_ca_system_score_codex":0.00055463164,"about_ca_system_score_gemma":0.0021219344,"threshold_uncertainty_score":0.9999701},"labels":[],"label_agreement":null},{"id":"W4413557296","doi":"10.64628/aam.p6ejfrgec","title":"COVID-19 has created more cyclists: How cities can keep them on their bikes","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Business; Geography; Virology; Medicine; Outbreak; Infectious disease (medical specialty)","score_opus":0.1496056508449123,"score_gpt":0.33521895248627015,"score_spread":0.18561330164135784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413557296","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.62127763,0.00020541727,0.00039327503,0.22290272,0.0009378439,0.0011860253,0.0009466107,0.00145294,0.15069751],"genre_scores_gemma":[0.9837349,0.00012519126,0.00010805229,0.0056934347,0.000630963,0.00006815509,0.00033596315,0.00003244389,0.009270913],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9973415,0.00023923616,0.00032732167,0.00094883726,0.000648834,0.0004942385],"domain_scores_gemma":[0.9980127,0.0003028103,0.00023048907,0.0006246266,0.00012152955,0.0007078131],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00047015023,0.00044270858,0.000598502,0.000081964274,0.00090871775,0.00079470006,0.0012144782,0.00051795685,0.0029239808],"category_scores_gemma":[0.00055688206,0.0003335386,0.00036142083,0.00030171886,0.0013576755,0.00012474429,0.0002034608,0.0007449795,0.000024118395],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029628107,0.00043586874,0.63578105,0.001065568,0.00051465473,0.00016229595,0.26705664,0.000119488366,0.00010368972,0.027681494,0.06383301,0.0029499512],"study_design_scores_gemma":[0.0014182513,0.00012497994,0.19417556,0.00038671857,0.0003325883,7.950185e-7,0.17403896,0.00022573846,0.0020348665,0.259009,0.3649323,0.0033202497],"about_ca_topic_score_codex":0.06768101,"about_ca_topic_score_gemma":0.06021874,"teacher_disagreement_score":0.4416055,"about_ca_system_score_codex":0.0004673889,"about_ca_system_score_gemma":0.0023489946,"threshold_uncertainty_score":0.99991167},"labels":[],"label_agreement":null},{"id":"W4413566178","doi":"10.64628/aam.9rr43qjk3","title":"COVID-19 cyclists: Expanding bike lane network can lead to more inclusive cities","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Lead (geology); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Transport engineering; Geography; Business; Engineering; Virology; Medicine; Biology; Outbreak","score_opus":0.06060689287264829,"score_gpt":0.3800815685072776,"score_spread":0.3194746756346293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413566178","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5889612,0.0009274606,0.011746979,0.19882178,0.0045714946,0.0030824062,0.0007287215,0.0019132993,0.18924668],"genre_scores_gemma":[0.97600806,0.00008607912,0.0012483329,0.013955896,0.002806611,0.00008519149,0.00025051145,0.000028776309,0.0055305203],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99714893,0.0001779572,0.00046510034,0.0008722537,0.00068771,0.0006480403],"domain_scores_gemma":[0.9980258,0.00022945319,0.00019219302,0.00043506874,0.0000993904,0.0010181433],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007074462,0.00033900683,0.0005806902,0.00009296516,0.0010380641,0.0003009174,0.0010744727,0.0003929452,0.001611567],"category_scores_gemma":[0.00057977694,0.00031992473,0.00021226311,0.0004835154,0.0004171649,0.000107699125,0.0008281991,0.0006381635,0.000033222434],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012304552,0.00007361487,0.652399,0.00068218255,0.00016712397,0.00018819184,0.21484455,0.0021914723,0.000027181504,0.013515996,0.11438321,0.0014044304],"study_design_scores_gemma":[0.0010442289,0.00010295415,0.11862642,0.0006071799,0.00033756826,8.939283e-7,0.12440732,0.00015877788,0.00012363984,0.22128454,0.5296782,0.0036282565],"about_ca_topic_score_codex":0.11416866,"about_ca_topic_score_gemma":0.20860298,"teacher_disagreement_score":0.5337726,"about_ca_system_score_codex":0.0008996251,"about_ca_system_score_gemma":0.0021997874,"threshold_uncertainty_score":0.99992526},"labels":[],"label_agreement":null},{"id":"W4413575121","doi":"10.64628/aam.q4qcsenve","title":"The pandemic highlights the importance of walkable and wheelable neighbourhoods","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Geography; Criminology; Medicine; Sociology; Infectious disease (medical specialty)","score_opus":0.025775057563368217,"score_gpt":0.3000715651960004,"score_spread":0.2742965076326322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413575121","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91259944,0.009502014,0.0000845768,0.005741495,0.00062240905,0.0004221445,0.000009172339,0.00006167851,0.07095709],"genre_scores_gemma":[0.98309386,0.0050620856,0.000118002754,0.00013270263,0.00017543652,0.000025515208,0.000008187648,0.000008783961,0.011375435],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99830776,0.00017759783,0.00039845964,0.00038907072,0.00040557826,0.00032150117],"domain_scores_gemma":[0.99853873,0.00033386354,0.00025665277,0.00063283416,0.00016062566,0.00007728495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015357303,0.00015873282,0.0002826258,0.00001417863,0.0008979206,0.00029294685,0.0007334652,0.00023514708,0.0005535724],"category_scores_gemma":[0.00008615464,0.00007920986,0.00012917302,0.00017195646,0.0007487539,0.00014174603,0.00024725535,0.00041652904,0.0000015333999],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008944735,0.00003272377,0.96973157,0.000057424168,0.00006272199,0.0000022765528,0.004709677,0.0000042116385,0.000028264396,0.023036312,0.0010705866,0.0012552843],"study_design_scores_gemma":[0.0003444646,0.000023090704,0.7857632,0.0001807578,0.00020993318,6.344962e-7,0.014776443,0.00011112448,0.00061874924,0.091888376,0.10549813,0.000585065],"about_ca_topic_score_codex":0.010365005,"about_ca_topic_score_gemma":0.10800972,"teacher_disagreement_score":0.18396834,"about_ca_system_score_codex":0.0000470957,"about_ca_system_score_gemma":0.0005867677,"threshold_uncertainty_score":0.99622506},"labels":[],"label_agreement":null},{"id":"W4413580273","doi":"10.64628/aam.uqm9qn7d7","title":"Inclusion, walkability will be key to rebuilding cities after the COVID-19 pandemic","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Walkability; Coronavirus disease 2019 (COVID-19); Pandemic; Inclusion (mineral); 2019-20 coronavirus outbreak; Key (lock); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Geography; Built environment; Medicine; Sociology; Virology; Engineering; Computer science; Computer security; Civil engineering; Social science","score_opus":0.06619540278058611,"score_gpt":0.36609303733029364,"score_spread":0.2998976345497075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413580273","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92948484,0.0004927943,0.00088597764,0.046573084,0.0012038185,0.0014147883,0.0001956997,0.00044403935,0.019304933],"genre_scores_gemma":[0.9747498,0.00010887021,0.00030843692,0.015332844,0.00042777442,0.00045642199,0.00004392944,0.00002059175,0.008551327],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99585253,0.0007880568,0.0006064173,0.0009903212,0.00120971,0.00055295497],"domain_scores_gemma":[0.9975282,0.0006397882,0.0001798607,0.0010819273,0.00012933627,0.0004408854],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005904746,0.00031101986,0.00042836773,0.00010137066,0.0034783152,0.00022824205,0.0019583306,0.00031671888,0.02024374],"category_scores_gemma":[0.0010714721,0.00022221991,0.00031561794,0.000426075,0.00070959475,0.00023235669,0.0057944967,0.0010506129,0.0000076856195],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010419924,0.00005366286,0.8847475,0.00010537088,0.000024274023,0.0000068796753,0.10723819,0.00016244377,0.000005597332,0.0012307867,0.0058736857,0.00044741394],"study_design_scores_gemma":[0.00012551535,0.000018513672,0.08329525,0.00001960131,0.000055736677,3.2844954e-7,0.010297174,0.000008781373,0.0000042824486,0.08280134,0.8228799,0.00049354497],"about_ca_topic_score_codex":0.062209554,"about_ca_topic_score_gemma":0.092360176,"teacher_disagreement_score":0.81700623,"about_ca_system_score_codex":0.0014081644,"about_ca_system_score_gemma":0.0016254883,"threshold_uncertainty_score":0.997819},"labels":[],"label_agreement":null},{"id":"W4413602631","doi":"10.1016/j.aap.2025.108214","title":"Corrigendum to “A discrete choice latent class method for capturing unobserved heterogeneity in cyclist crossing behaviour at crosswalks”. [Acc. Anal. Prevent. 211 (2025) 107850]","year":2025,"lang":"en","type":"erratum","venue":"Accident Analysis & Prevention","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Transport engineering; Computer science; Econometrics; Statistics; Engineering; Mathematics","score_opus":0.0560720956665763,"score_gpt":0.40263507151698386,"score_spread":0.3465629758504076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413602631","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9312995,0.0034048932,0.037282895,0.001412623,0.018007275,0.005639454,0.00016229531,0.00035336093,0.0024377047],"genre_scores_gemma":[0.6071371,0.00015798828,0.0016061652,0.00017764569,0.0008948489,0.0005406891,0.004186836,0.000065421744,0.3852333],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.991689,0.0011627404,0.0021902272,0.0022437307,0.0013366973,0.0013775484],"domain_scores_gemma":[0.9961181,0.00020852356,0.0014038923,0.0012230284,0.0006089144,0.0004374886],"candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0042533507,0.000848442,0.0018671063,0.001297568,0.002051401,0.0014637111,0.0015927444,0.0011231275,0.0007023424],"category_scores_gemma":[0.0005663767,0.00091400906,0.002777952,0.0035099392,0.00019568138,0.00093283853,0.00046573734,0.0009248649,0.000016270624],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011834337,0.0003252153,0.96385384,0.00008981435,0.0013130528,0.000012898199,0.0012226354,0.0004540994,0.000066780834,0.000024273992,0.030845629,0.0016734344],"study_design_scores_gemma":[0.0006907899,0.000050053313,0.94684213,0.0005509751,0.006912681,1.4552027e-7,0.00027394408,0.00087831786,0.00034349432,0.00046792522,0.041989475,0.0010000351],"about_ca_topic_score_codex":0.059881795,"about_ca_topic_score_gemma":0.8820032,"teacher_disagreement_score":0.8221214,"about_ca_system_score_codex":0.0023842975,"about_ca_system_score_gemma":0.0008702624,"threshold_uncertainty_score":0.9995729},"labels":[],"label_agreement":null},{"id":"W4413636319","doi":"10.1016/j.cities.2025.106376","title":"Proximity-centred accessibility – A conceptual debate involving planning practitioners worldwide","year":2025,"lang":"en","type":"article","venue":"Cities","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Conceptual framework; Environmental planning; Political science; Business; Public relations; Sociology; Process management; Geography; Social science","score_opus":0.04803128360185845,"score_gpt":0.3279314144139927,"score_spread":0.2799001308121343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413636319","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91517746,0.001357784,0.00017026623,0.001207005,0.0005475916,0.00031028807,0.0000107839505,0.00024833856,0.08097047],"genre_scores_gemma":[0.9911079,0.000018563853,0.00018909624,0.00047909835,0.00013451731,0.000034341523,0.000019831228,0.0000062957574,0.008010348],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99851334,0.00018059688,0.00029656253,0.00034187263,0.00028102947,0.00038659302],"domain_scores_gemma":[0.9991656,0.00028086445,0.0001168209,0.00021327219,0.00013402739,0.00008943525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047487897,0.00013066249,0.00020245179,0.0001000693,0.00089654385,0.00021643037,0.00033791852,0.00006897166,0.00037573325],"category_scores_gemma":[0.0004489445,0.00012947326,0.00008343312,0.0004498889,0.0010176786,0.0012078884,0.00004785356,0.00021413591,0.000008540886],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051015035,0.00007244392,0.9365895,0.00006126754,0.0000355816,0.000015346377,0.032733433,0.00001594899,0.000087350425,0.027540224,0.0018548062,0.0009431315],"study_design_scores_gemma":[0.0011319496,0.000025467007,0.65597564,0.00050477183,0.00011281732,3.4320294e-7,0.23249067,0.00010267713,0.0019518972,0.06706699,0.039974965,0.0006617889],"about_ca_topic_score_codex":0.0013690026,"about_ca_topic_score_gemma":0.0020749867,"teacher_disagreement_score":0.2806138,"about_ca_system_score_codex":0.00017565314,"about_ca_system_score_gemma":0.0005286571,"threshold_uncertainty_score":0.68955815},"labels":[],"label_agreement":null},{"id":"W4413739930","doi":"10.1016/j.jtrangeo.2025.104394","title":"Place-based neighbourhood planning approaches to net zero transport","year":2025,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Australian Research Council","keywords":"Neighbourhood (mathematics); Transport engineering; Net (polyhedron); Zero (linguistics); Computer science; Geography; Business; Engineering; Mathematics; Geometry; Mathematical analysis","score_opus":0.04802264426619846,"score_gpt":0.28377294307772477,"score_spread":0.23575029881152632,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413739930","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9448242,0.0009432816,0.034377106,0.003606935,0.00079265464,0.00042201244,0.000038037506,0.000084847896,0.014910907],"genre_scores_gemma":[0.99641585,0.000026858663,0.0023846428,0.00071130425,0.00022429161,0.000010833552,0.000018023646,0.000019666793,0.0001885513],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99699193,0.00009741565,0.0010670227,0.00036584176,0.00085705385,0.000620747],"domain_scores_gemma":[0.998613,0.0001127918,0.00034326795,0.00028452513,0.00019795223,0.00044843883],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0016820022,0.00029375643,0.0006344126,0.00092718203,0.00047028303,0.000057341687,0.00083621376,0.00023326329,0.00022603573],"category_scores_gemma":[0.00001928279,0.00026654333,0.0008616765,0.0017493148,0.00030042534,0.0004797546,0.000004233648,0.0005374756,0.0000024011226],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047935714,0.00034281437,0.9905386,0.000077049735,0.0001633208,0.000098626006,0.0029038566,0.0027036322,0.000028125023,0.0006179958,0.00030007187,0.00174655],"study_design_scores_gemma":[0.0011113003,0.00014186444,0.96432453,0.00028330187,0.00029990234,8.293005e-7,0.0007576878,0.000010673982,0.00021420968,0.0015060004,0.031055493,0.0002942138],"about_ca_topic_score_codex":0.00053823885,"about_ca_topic_score_gemma":0.0009747148,"teacher_disagreement_score":0.05159161,"about_ca_system_score_codex":0.000059890575,"about_ca_system_score_gemma":0.000739206,"threshold_uncertainty_score":0.99997866},"labels":[],"label_agreement":null},{"id":"W4413754804","doi":"10.1080/23748834.2025.2544099","title":"Bridging the gap: a bibliometric examination of the interdependency between pedestrian activity and built environment","year":2025,"lang":"en","type":"article","venue":"Cities & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Bridging (networking); Pedestrian; Interdependence; Computer science; Engineering; Sociology; Transport engineering; Social science","score_opus":0.05184035149253074,"score_gpt":0.34127869285869167,"score_spread":0.2894383413661609,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413754804","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9876092,0.0012094369,0.0009685861,0.0060952823,0.00012886678,0.00032263313,0.00001468197,0.000014255297,0.0036370375],"genre_scores_gemma":[0.9986865,0.00047129503,0.000011353617,0.000110792185,0.000075151824,0.0000073418983,0.0000012639939,0.0000025277936,0.00063380913],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99887395,0.00033006136,0.0001858098,0.00014660059,0.00027932596,0.00018427259],"domain_scores_gemma":[0.999367,0.00024379561,0.00014357976,0.00018504477,0.00001872902,0.000041855164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016120875,0.000060992516,0.00013390697,0.0008590773,0.0006303906,0.000047348873,0.00025107883,0.00004037459,0.000032582022],"category_scores_gemma":[0.00009014442,0.00003981412,0.000040421455,0.0041370126,0.00038865602,0.00014714024,0.000059937203,0.0001390424,5.096419e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000026894747,0.000017144434,0.70642614,0.000080754646,0.0000074064424,6.156653e-8,0.0053063747,3.4992524e-7,0.0000073978717,0.00066781085,0.00007910421,0.28740475],"study_design_scores_gemma":[0.00008957013,0.00001630482,0.99533075,0.000037173115,0.000010654678,2.44731e-8,0.001803209,0.0000074434693,0.00011173992,0.0014283338,0.0011309359,0.000033847093],"about_ca_topic_score_codex":0.015039059,"about_ca_topic_score_gemma":0.0039846185,"teacher_disagreement_score":0.2889046,"about_ca_system_score_codex":0.00012823242,"about_ca_system_score_gemma":0.00026188273,"threshold_uncertainty_score":0.99151987},"labels":[],"label_agreement":null},{"id":"W4413756202","doi":"10.1016/j.jtrangeo.2025.104397","title":"Evolving transport mode changes: A longitudinal analysis of built-environment exposure in Montréal, Canada","year":2025,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Mode (computer interface); Mode of transport; Built environment; Transport engineering; Environmental science; Engineering; Geography; Civil engineering; Public transport; Computer science","score_opus":0.010827458935707428,"score_gpt":0.2533617273590975,"score_spread":0.24253426842339007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413756202","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99144596,0.004934012,0.0011704023,0.0012198442,0.00022741054,0.00019463418,0.00008912013,0.000009339264,0.0007092968],"genre_scores_gemma":[0.9982799,0.0012067244,0.0002915459,0.00007005573,0.00004962989,0.000006288446,0.000018381137,0.000008621305,0.00006884064],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997061,0.000076250195,0.0011527728,0.000291121,0.0009963749,0.0004224402],"domain_scores_gemma":[0.99877554,0.00007160523,0.00049940986,0.00028406832,0.00018370537,0.0001856694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010015302,0.00021789473,0.0008860449,0.0013164405,0.00016144235,0.000012266269,0.00056642183,0.0001434916,0.00027394816],"category_scores_gemma":[0.000010433346,0.00020283957,0.00072983466,0.0026984967,0.00024162278,0.00032127855,0.0000050303333,0.00035018285,8.178016e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013460318,0.00027798978,0.99225706,0.000060795377,0.0010287571,0.0001381024,0.0017772447,0.0036194797,0.00006174105,0.00003154227,0.000072206094,0.00054046686],"study_design_scores_gemma":[0.00055518915,0.000056927565,0.99341804,0.00012373806,0.0017483891,2.6680897e-7,0.0012743077,0.000045074044,0.00006339177,0.00015652698,0.0023899148,0.000168234],"about_ca_topic_score_codex":0.7772862,"about_ca_topic_score_gemma":0.98652685,"teacher_disagreement_score":0.20924073,"about_ca_system_score_codex":0.00017561764,"about_ca_system_score_gemma":0.0007517928,"threshold_uncertainty_score":0.82715577},"labels":[],"label_agreement":null},{"id":"W4413771075","doi":"10.32866/001c.143474","title":"Are Women More Transport Poor Than Men? Exploring Gender Discrepancies in Transport Poverty","year":2025,"lang":"en","type":"article","venue":"Findings","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University; Polytechnique Montréal","funders":"Centre interuniversitaire de recherche sur les reseaux d'entreprise, la logistique et le transport","keywords":"Poverty; Demographic economics; Political science; Psychology; Economic growth; Economics","score_opus":0.05158751414569891,"score_gpt":0.29905264990471475,"score_spread":0.24746513575901585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413771075","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9785626,0.00009791581,0.00007071344,0.0020565689,0.0002917966,0.00033881702,0.00005092024,0.00016136552,0.018369298],"genre_scores_gemma":[0.9945316,0.000042245978,0.000046147063,0.00043420884,0.000079866106,0.00015495846,0.000021275242,0.000016023603,0.004673681],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978599,0.000038287246,0.0004183683,0.00050731935,0.00044755536,0.0007285585],"domain_scores_gemma":[0.9994478,0.000041718245,0.000089331304,0.00022858914,0.000045239027,0.00014730747],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072760205,0.00021561468,0.00037345738,0.00020694369,0.00038287402,0.000037089223,0.0004441608,0.00014804423,0.0004194307],"category_scores_gemma":[0.000034992772,0.00020262082,0.00015189406,0.0008841856,0.00022243291,0.0007954741,0.000012590444,0.00026649484,0.000008212897],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007646831,0.00009797082,0.94528204,0.000074455755,0.00002430682,0.00003773415,0.052123584,0.0000036020317,0.00007514595,0.0018670869,0.00018387074,0.00015373678],"study_design_scores_gemma":[0.0004035394,0.0000072071084,0.9490102,0.00008373348,0.000021345268,7.07962e-8,0.030264225,0.0000032017529,0.0002516529,0.0013339885,0.018393071,0.0002277599],"about_ca_topic_score_codex":0.0039445125,"about_ca_topic_score_gemma":0.012365077,"teacher_disagreement_score":0.02185936,"about_ca_system_score_codex":0.0003318871,"about_ca_system_score_gemma":0.00019034218,"threshold_uncertainty_score":0.8262637},"labels":[],"label_agreement":null},{"id":"W4413771252","doi":"10.1016/j.jtrangeo.2025.104392","title":"Modeling bicyclists' destination location choice: Spatial-temporal constraint for choice set generation","year":2025,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus","funders":"Natural Sciences and Engineering Research Council of Canada; Environment and Climate Change Canada; Canada Foundation for Innovation","keywords":"Constraint (computer-aided design); Choice set; Set (abstract data type); Computer science; Transport engineering; Operations research; Geography; Engineering; Econometrics; Mathematics","score_opus":0.03649955178487588,"score_gpt":0.3336737539589082,"score_spread":0.29717420217403234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413771252","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6166874,0.00031564158,0.38087818,0.00087824406,0.0006101013,0.00032394438,0.00002000254,0.000026246367,0.00026025143],"genre_scores_gemma":[0.9957842,0.000055900062,0.0031386754,0.00013710574,0.00070002873,0.000015415955,0.00011259399,0.000009411478,0.000046629506],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981481,0.00007255324,0.0008568478,0.00022077329,0.00044051246,0.00026124727],"domain_scores_gemma":[0.9982344,0.00010529159,0.00035916088,0.0001301265,0.0010511169,0.00011989297],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014611987,0.00015012744,0.000284265,0.00043807775,0.0004779351,0.00007465046,0.00026896075,0.00016096472,0.000035874127],"category_scores_gemma":[0.00013737599,0.00014568241,0.00034481802,0.00071128947,0.00018424912,0.000631284,0.0000024745095,0.00020634015,3.4106344e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057253375,0.00013937237,0.9847973,0.00009190619,0.00007523179,0.0000022023842,0.00080392696,0.0056689274,0.00030960707,0.00045131493,0.000104392864,0.0074985554],"study_design_scores_gemma":[0.0021867082,0.00015335399,0.95674163,0.0002934107,0.0005216486,0.0000010879036,0.00072879257,0.022794662,0.0004843157,0.0045156595,0.011181943,0.00039678154],"about_ca_topic_score_codex":0.006025008,"about_ca_topic_score_gemma":0.024534091,"teacher_disagreement_score":0.37909684,"about_ca_system_score_codex":0.00007289805,"about_ca_system_score_gemma":0.0005218077,"threshold_uncertainty_score":0.9932656},"labels":[],"label_agreement":null},{"id":"W4413843940","doi":"10.1016/j.trip.2025.101616","title":"The impact of transportation equity on healthcare accessibility for children with asthma","year":2025,"lang":"en","type":"article","venue":"Transportation Research Interdisciplinary Perspectives","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta; University of Calgary","funders":"Canadian Institutes of Health Research; Alberta Children's Hospital Research Institute","keywords":"Equity (law); Asthma; Health care; Business; Medicine; Economic growth; Economics; Political science; Internal medicine","score_opus":0.0697645710834404,"score_gpt":0.5089288197494395,"score_spread":0.43916424866599907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413843940","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98726875,0.0003342397,0.0012075381,0.005790605,0.00006705737,0.002107732,0.0005754547,0.00006896453,0.0025796872],"genre_scores_gemma":[0.99886376,0.00007681673,0.00012300993,0.000008877244,0.000076697936,0.0002581282,0.00017416323,0.0000157692,0.0004027887],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970319,0.00034742264,0.0005201588,0.0006289048,0.0008447688,0.00062684657],"domain_scores_gemma":[0.99720997,0.00070208346,0.0001673802,0.0004270036,0.0013404809,0.00015309715],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002481501,0.000201528,0.00030010223,0.00025204563,0.0022309113,0.000117804455,0.0007104885,0.00012975022,0.000076040604],"category_scores_gemma":[0.00007344952,0.00013002736,0.00033146262,0.0011285971,0.0016544828,0.00046487074,0.0000129936625,0.00045331602,0.0000013944972],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0060760593,0.0009559424,0.82177514,0.0001578307,0.00035630242,0.0000024760998,0.084463,0.0002195726,0.00011328425,0.075292766,0.0010470689,0.009540573],"study_design_scores_gemma":[0.00067812006,0.00087838486,0.9360902,0.00012334366,0.000020232115,2.0048796e-8,0.037460223,0.000019640383,0.00021405444,0.024345037,0.000049496135,0.00012127566],"about_ca_topic_score_codex":0.004540665,"about_ca_topic_score_gemma":0.07500345,"teacher_disagreement_score":0.11431505,"about_ca_system_score_codex":0.00052742765,"about_ca_system_score_gemma":0.0011226636,"threshold_uncertainty_score":0.999068},"labels":[],"label_agreement":null},{"id":"W4413845236","doi":"10.1016/j.sftr.2025.101222","title":"Synergies for sustainability: Renewable energy, urban planning, and green industry in carbon emission reduction","year":2025,"lang":"en","type":"article","venue":"Sustainable Futures","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Horizon College and Seminary","funders":"Princess Nourah Bint Abdulrahman University","keywords":"Renewable energy; Sustainability; Reduction (mathematics); Business; Urban sustainability; Environmental economics; Natural resource economics; Carbon fibers; Engineering; Economics; Computer science","score_opus":0.00831109615167584,"score_gpt":0.2950256759109652,"score_spread":0.2867145797592893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413845236","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96963793,0.00402633,0.00006319818,0.0041491995,0.0002798918,0.00064312865,0.0000030315557,0.0001216265,0.02107565],"genre_scores_gemma":[0.89761215,0.000024618634,0.000031537125,0.00006342079,0.00032450905,0.000116032774,0.0000113056885,0.000010159322,0.10180624],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982935,0.00013212307,0.00027830404,0.00046000944,0.00018828042,0.00064777356],"domain_scores_gemma":[0.99918085,0.0000923974,0.000081298596,0.00022937538,0.0003106511,0.00010543133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000843687,0.00016872886,0.00024592658,0.0002913654,0.000664887,0.00012444756,0.00021769996,0.0006364075,0.000013245358],"category_scores_gemma":[0.00038083197,0.00016410726,0.000054688026,0.0007290237,0.00029878976,0.00033741212,0.000064270265,0.00034078603,1.5059662e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035204753,0.00013130691,0.9370315,0.0009359067,0.000027861126,0.00003467543,0.015422299,0.00027486088,0.00006984627,0.030352406,0.012503734,0.0028635352],"study_design_scores_gemma":[0.0008787737,0.000081275735,0.049651172,0.00014183733,0.000055190256,3.6626133e-7,0.35393208,0.0001455612,0.0013181104,0.37036383,0.22303301,0.0003987864],"about_ca_topic_score_codex":0.14377284,"about_ca_topic_score_gemma":0.0063472562,"teacher_disagreement_score":0.88738036,"about_ca_system_score_codex":0.00056196714,"about_ca_system_score_gemma":0.0010295693,"threshold_uncertainty_score":0.8619288},"labels":[],"label_agreement":null},{"id":"W4413845288","doi":"10.1016/j.sftr.2025.101220","title":"Can the co-existence of bike, e-scooter, and car-sharing promote sustainable mode choices?","year":2025,"lang":"en","type":"article","venue":"Sustainable Futures","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Horizon 2020 Framework Programme; Österreichische Forschungsförderungsgesellschaft","keywords":"Mode (computer interface); Bike sharing; Car sharing; Business; Automotive engineering; Environmental economics; Transport engineering; Computer science; Human–computer interaction; Engineering; Economics","score_opus":0.009851589765644092,"score_gpt":0.31061844681606576,"score_spread":0.30076685705042167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413845288","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93406427,0.0022445437,0.00005823555,0.003046445,0.00012551533,0.00093271665,0.000009828151,0.000080095015,0.059438355],"genre_scores_gemma":[0.9150036,0.00009090133,0.00005225883,0.00015834633,0.00013883179,0.00004379648,0.000005589583,0.000009468672,0.0844972],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.9980852,0.00009927538,0.00028644854,0.00040776297,0.000326962,0.0007943315],"domain_scores_gemma":[0.9988111,0.0000917468,0.00013931598,0.00042878845,0.0004303583,0.00009867025],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0010054944,0.00017239166,0.00026278428,0.00012959771,0.0016347195,0.00025065552,0.0007017556,0.00013446849,0.000049568545],"category_scores_gemma":[0.00026812308,0.00012824358,0.000079082914,0.0007817575,0.00068363256,0.00042415728,0.0001545053,0.00024003655,3.921157e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012872029,0.00014481012,0.38410392,0.002131475,0.00009560353,0.0000884695,0.039383087,0.0000739296,0.00012942398,0.5691634,0.0024347492,0.0021224492],"study_design_scores_gemma":[0.00088890304,0.00008679233,0.17626321,0.00013582747,0.00014886487,6.133154e-7,0.36414844,0.00014773877,0.0026912924,0.19117473,0.26379797,0.00051559776],"about_ca_topic_score_codex":0.06697015,"about_ca_topic_score_gemma":0.01073412,"teacher_disagreement_score":0.37798864,"about_ca_system_score_codex":0.00019319229,"about_ca_system_score_gemma":0.0007397225,"threshold_uncertainty_score":0.999665},"labels":[],"label_agreement":null},{"id":"W4413863490","doi":"10.1007/978-3-032-01632-4_37","title":"A Description of Facilitators and Barriers to Paratransit in Quebec When Travelling with a Child Aged 5 or Younger","year":2025,"lang":"en","type":"book-chapter","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"The Scarborough Hospital; Université Laval; Ministère des Transports; University of Toronto; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Exfo Electro-Optical Engineering (Canada); Centres Intégré Universitaires de Santé et de Services Sociaux","funders":"","keywords":"Paratransit; Psychology; Sociology; Engineering; Transport engineering; Public transport","score_opus":0.02061883242179069,"score_gpt":0.24673731877317365,"score_spread":0.22611848635138296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413863490","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24880059,0.0005935518,0.0025961674,0.0010836368,0.00018518105,0.0019284395,0.00015535585,0.00009461117,0.74456245],"genre_scores_gemma":[0.47875556,0.000047308713,0.00045114837,0.00015390896,0.000029480258,0.000011305472,0.000008315679,0.000010598979,0.52053237],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986624,0.00003520884,0.0003615216,0.00041741025,0.00030576886,0.00021766392],"domain_scores_gemma":[0.99944973,0.00004733036,0.0000716428,0.00015818233,0.00006142084,0.00021168037],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003747905,0.00021708016,0.00043351692,0.0002028192,0.0001633578,0.000065795095,0.00015809243,0.00025711142,0.001234852],"category_scores_gemma":[0.000026130745,0.00016442196,0.00007121224,0.00010185013,0.0003083461,0.0002724244,0.000007991547,0.00023659486,0.0000017533397],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0046977596,0.000113029186,0.361324,0.0016324366,0.0006428559,0.0001479119,0.48202667,0.000049081253,0.00013528271,0.12517008,0.0025428173,0.02151807],"study_design_scores_gemma":[0.008382976,0.0015677831,0.3035115,0.0131930085,0.0018906395,0.00000267832,0.08677096,0.00005238522,0.00043670955,0.044075,0.5330989,0.0070175035],"about_ca_topic_score_codex":0.105075754,"about_ca_topic_score_gemma":0.8461595,"teacher_disagreement_score":0.74108374,"about_ca_system_score_codex":0.00010006584,"about_ca_system_score_gemma":0.0005632034,"threshold_uncertainty_score":0.99967813},"labels":[],"label_agreement":null},{"id":"W4413885217","doi":"10.1080/17450101.2025.2551697","title":"Automobility, velomobility, and complete streets? Discursively analyzing the politics of complete street design guidelines in Ontario, Canada","year":2025,"lang":"en","type":"article","venue":"Mobilities","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Politics; Sociology; Political science; Media studies; Public administration; Gender studies; Law","score_opus":0.06462755822106504,"score_gpt":0.31206048738318604,"score_spread":0.247432929162121,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413885217","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99298507,0.00083769514,0.00036390816,0.0022519827,0.00023350565,0.00075870904,0.00018178417,0.000032382428,0.0023549444],"genre_scores_gemma":[0.99737674,0.000020543592,0.00045978712,0.00016707707,0.000033474924,0.00004018919,0.000013521347,0.000007371123,0.0018813016],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99728954,0.00045132707,0.00086798955,0.00044721807,0.0004224616,0.0005214507],"domain_scores_gemma":[0.9977124,0.0011855436,0.00015279865,0.0004985723,0.00035207326,0.00009863299],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017128834,0.00022406943,0.00048829656,0.00010346783,0.00056801876,0.00007405674,0.00059734646,0.00008951333,0.00017414252],"category_scores_gemma":[0.00046552694,0.00017522307,0.00009009819,0.00041689808,0.001576861,0.00020260473,0.0001382207,0.00027317935,2.1978138e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019538667,0.000060667662,0.98183197,0.000087784705,0.00003460008,0.0000023501084,0.0049761627,0.00017573666,0.000023577792,0.011737507,0.0005387151,0.0005113664],"study_design_scores_gemma":[0.0002956598,0.000031819087,0.9489702,0.00011162791,0.000044167617,9.089557e-8,0.018290348,0.00025814626,0.000057566493,0.023056477,0.008691107,0.00019277282],"about_ca_topic_score_codex":0.996848,"about_ca_topic_score_gemma":0.99976367,"teacher_disagreement_score":0.032861777,"about_ca_system_score_codex":0.00071754033,"about_ca_system_score_gemma":0.0035758805,"threshold_uncertainty_score":0.714539},"labels":[],"label_agreement":null},{"id":"W4413916196","doi":"10.3390/youth5030091","title":"Air Pollution-Driven Parental Restrictions: Associations with Children’s Active School Transport in Urban and Rural India","year":2025,"lang":"en","type":"article","venue":"Youth","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Public Health; Children’s Health Research Institute; London Health Sciences Centre; Lawson Health Research Institute; Western University","funders":"","keywords":"Geography; Air pollution; Pollution; Environmental planning; Environmental health; Environmental science; Environmental protection; Medicine; Ecology; Biology","score_opus":0.009680944107564052,"score_gpt":0.26022620400270674,"score_spread":0.2505452598951427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413916196","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99100965,0.000076088596,0.000019737308,0.0006223677,0.00008104557,0.00035227425,0.00037979634,0.00006544553,0.007393599],"genre_scores_gemma":[0.99932134,0.0000198812,0.000030338895,0.00011850199,0.000062910025,0.00002077873,0.00014338267,0.0000046143673,0.0002782734],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991367,0.000063249245,0.00017830382,0.0002021582,0.00019344795,0.00022613902],"domain_scores_gemma":[0.99968714,0.000023735094,0.00006524305,0.00009685,0.000038305545,0.00008871007],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013294263,0.000094952,0.00014135006,0.0001411981,0.00044009025,0.000028038206,0.00011892049,0.00009840173,0.000031186708],"category_scores_gemma":[0.000034531757,0.00008766876,0.000039388986,0.0006784323,0.00018176535,0.00036726112,0.0000069810294,0.00020531408,0.000002456368],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002199816,0.00009517043,0.98665524,0.0000016988334,0.000026539961,9.997764e-7,0.012216211,0.000012008232,0.0000012115368,0.00081204966,0.000051352912,0.0001055405],"study_design_scores_gemma":[0.0005136314,0.000018794562,0.98615724,0.000035098044,0.000048950977,4.280059e-8,0.01277876,0.0000013983259,0.0000072736125,0.0002887881,0.000051331604,0.000098717486],"about_ca_topic_score_codex":0.014714962,"about_ca_topic_score_gemma":0.03181226,"teacher_disagreement_score":0.017097302,"about_ca_system_score_codex":0.0002406705,"about_ca_system_score_gemma":0.0004003846,"threshold_uncertainty_score":0.99184614},"labels":[],"label_agreement":null},{"id":"W4413988100","doi":"10.1080/14927713.2025.2551524","title":"‘Broken windows’ and ‘eyes on the street’: how crime affects park and trail use in Chicago’s low-income communities of color","year":2025,"lang":"en","type":"article","venue":"Leisure/Loisir","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Criminology; Geography; Psychology","score_opus":0.02862758798580565,"score_gpt":0.27925339921196213,"score_spread":0.25062581122615646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413988100","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99419934,0.00029016173,0.0000038672592,0.001932489,0.000093807605,0.00052245706,0.000034577555,0.000036380934,0.0028869417],"genre_scores_gemma":[0.999113,0.000121138284,0.00003202759,0.00016267998,0.00003257875,0.000023668548,0.000004948325,0.0000074948434,0.0005024613],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987111,0.0003977186,0.00018522519,0.00019985977,0.00024138908,0.00026466942],"domain_scores_gemma":[0.99821913,0.0012972163,0.00008701957,0.00028955433,0.000046574205,0.000060481012],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007885055,0.00015480965,0.00032827875,0.00009419111,0.00035367772,0.000150645,0.00031711333,0.00013756755,0.000023605553],"category_scores_gemma":[0.000138433,0.00011202681,0.000053561955,0.00030305953,0.0008631191,0.00029827195,0.000053646592,0.00028732562,5.0564546e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006039474,0.00009271209,0.985481,0.00008623062,0.000023342907,0.000002668605,0.0049588997,0.000002647661,0.00011328859,0.008476205,0.0001112277,0.0005913445],"study_design_scores_gemma":[0.0004709243,0.00006520849,0.9901845,0.00022039372,0.00002402529,5.603148e-8,0.005441731,0.00001911084,0.00080755743,0.0012558436,0.0013921943,0.00011848743],"about_ca_topic_score_codex":0.007525346,"about_ca_topic_score_gemma":0.11759899,"teacher_disagreement_score":0.11007364,"about_ca_system_score_codex":0.000032920834,"about_ca_system_score_gemma":0.000099913406,"threshold_uncertainty_score":0.99908364},"labels":[],"label_agreement":null},{"id":"W4414044869","doi":"10.1177/03611981251350652","title":"A Spatiotemporal Analysis of Shared Micromobility Trips in First- and Last-Mile Public Transit Integration","year":2025,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"","keywords":"TRIPS architecture; Descriptive statistics; Evening; Public transport; Transit (satellite); Rush hour; Regression analysis; Per capita; Cluster analysis","score_opus":0.09964461207950935,"score_gpt":0.41453051896525295,"score_spread":0.3148859068857436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414044869","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9886215,0.00036644484,0.0020656781,0.007158074,0.00020861569,0.0010982291,0.00012925494,0.000017357957,0.00033484318],"genre_scores_gemma":[0.99809897,0.0007452799,0.0006332768,0.00002702481,0.000041456813,0.000054344117,0.000049226557,0.000014888091,0.00033553067],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9924792,0.0018965275,0.0019026843,0.00048897404,0.0025073658,0.00072523614],"domain_scores_gemma":[0.9941514,0.0013739984,0.0004710086,0.00042418268,0.0033024831,0.00027694224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009828255,0.00020838047,0.0007395563,0.0030626338,0.00072425243,0.00017308455,0.0009949224,0.00027923117,0.0004049064],"category_scores_gemma":[0.0005002056,0.0001698428,0.00051810103,0.009830046,0.001479633,0.0011055344,0.0000061030028,0.0015440919,0.0000011575096],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008561873,0.000416792,0.97677255,0.00019999138,0.0003048339,0.000015346663,0.012140355,0.00021395835,0.0006647617,0.002760953,0.00036014032,0.005294149],"study_design_scores_gemma":[0.0012116258,0.0001491437,0.98509663,0.00027685013,0.00021336117,1.33726274e-8,0.0059612193,0.00019940024,0.00047516008,0.0029639453,0.00332423,0.00012841025],"about_ca_topic_score_codex":0.08462773,"about_ca_topic_score_gemma":0.876622,"teacher_disagreement_score":0.79199433,"about_ca_system_score_codex":0.00035696322,"about_ca_system_score_gemma":0.001433571,"threshold_uncertainty_score":0.9214678},"labels":[],"label_agreement":null},{"id":"W4414051613","doi":"10.1016/j.cities.2025.106325","title":"Re-thinking walkability: Synergizing the pedestrian environment and land use patterns to promote physical activity in older adults","year":2025,"lang":"en","type":"article","venue":"Cities","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Provincial Health Services Authority; University of British Columbia","funders":"National Heart, Lung, and Blood Institute; University of British Columbia; Bombardier","keywords":"Walkability; Neighbourhood (mathematics); Pedestrian; Built environment; Physical activity; Land use; Urban design; Level design","score_opus":0.019467255015887527,"score_gpt":0.27481433702176555,"score_spread":0.255347082005878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414051613","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965906,0.00003414738,0.000058755464,0.0023763238,0.00007507563,0.00038977416,0.000009291982,0.000026373606,0.0004396331],"genre_scores_gemma":[0.99944615,0.0000185757,0.000018888093,0.00009925932,0.00007140909,0.000026862614,0.0000013516553,0.0000036108179,0.00031386607],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99917644,0.00010821988,0.00009214708,0.00024418574,0.00018098885,0.000197999],"domain_scores_gemma":[0.9995751,0.00017883541,0.000026477634,0.00016733422,0.000010382906,0.000041915657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003785792,0.000083799474,0.00012907614,0.00003187688,0.00031773307,0.00014154053,0.00014565885,0.00003232865,0.000019213185],"category_scores_gemma":[0.000069535585,0.00006195556,0.00003332566,0.000101993486,0.000180195,0.00028031564,0.000057738118,0.0001340913,0.0000010432711],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002333731,0.00007270127,0.9537914,0.000041675805,0.000004804554,0.0000026707576,0.035615295,0.000003304127,0.000014964796,0.00015779091,0.000008276156,0.01026379],"study_design_scores_gemma":[0.00016456656,0.000009652325,0.99138707,0.00012388917,0.00000932093,1.6500104e-8,0.005881788,0.00003428502,0.0002197776,0.0015492891,0.00054247555,0.00007787812],"about_ca_topic_score_codex":0.010274525,"about_ca_topic_score_gemma":0.022980118,"teacher_disagreement_score":0.037595674,"about_ca_system_score_codex":0.00007261476,"about_ca_system_score_gemma":0.000037167894,"threshold_uncertainty_score":0.99631613},"labels":[],"label_agreement":null},{"id":"W4414069802","doi":"10.3390/land14091821","title":"Route Choice of Spanish Adolescent Walking Commuters: A Comparison of Actual and Shortest Routes to School","year":2025,"lang":"en","type":"article","venue":"Land","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"Agencia Estatal de Investigación; European Commission; Ministerio de Ciencia, Innovación y Universidades","keywords":"Wilcoxon signed-rank test; Elevation (ballistics); Built environment; Test (biology); Significant difference; Shortest path problem","score_opus":0.03262679291929813,"score_gpt":0.3514432365901949,"score_spread":0.31881644367089673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414069802","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99671996,0.000275837,0.00023455372,0.00042688858,0.00009021267,0.00017635354,0.000017174123,0.000018152326,0.0020408595],"genre_scores_gemma":[0.9994388,0.000010211835,0.00022043806,0.00010330761,0.00004935326,0.0000024544433,0.000004564396,0.0000025690165,0.00016827132],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99931335,0.000042984917,0.00022231053,0.00013375338,0.00015073096,0.00013684235],"domain_scores_gemma":[0.99955285,0.000117721436,0.00006498701,0.00013382184,0.000054804153,0.00007579711],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020687586,0.000063807,0.00022422438,0.00004148976,0.00010303014,0.00003583556,0.00018323962,0.000049382477,0.000034196666],"category_scores_gemma":[0.00010640939,0.000057171026,0.00003228533,0.00019018966,0.000115140494,0.00010930692,0.000039327213,0.00008567622,8.043588e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021170155,0.00008998055,0.9925929,0.0000472806,0.000014254311,2.563485e-7,0.0035004055,0.000002684316,0.00026088065,0.00009761083,0.00026729953,0.0031052877],"study_design_scores_gemma":[0.00021368862,0.000023788278,0.9942525,0.00016001238,0.000027335984,1.1334773e-8,0.0011878383,0.000020932937,0.00074918167,0.00010185612,0.0032049115,0.000057936286],"about_ca_topic_score_codex":0.011727037,"about_ca_topic_score_gemma":0.059084654,"teacher_disagreement_score":0.047357615,"about_ca_system_score_codex":0.000024640325,"about_ca_system_score_gemma":0.00006696233,"threshold_uncertainty_score":0.994854},"labels":[],"label_agreement":null},{"id":"W4414076565","doi":"10.1080/17538947.2025.2548377","title":"Correlation and causality between traffic congestion and the built environment: a case study in New York city","year":2025,"lang":"en","type":"article","venue":"International Journal of Digital Earth","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"National Natural Science Foundation of China","keywords":"Causality (physics); Correlation; Traffic congestion; Spatial correlation","score_opus":0.03659308788780348,"score_gpt":0.3157279137259507,"score_spread":0.27913482583814725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414076565","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970064,0.00022492712,0.0003036739,0.0014618913,0.00014568782,0.00015521994,0.000008102301,0.000004005886,0.0006900923],"genre_scores_gemma":[0.9995387,0.000019524303,0.000013090925,0.000021194277,0.000110323206,5.4375266e-7,0.0000016469468,0.0000014652003,0.00029347034],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991982,0.00008001707,0.00029121578,0.000089607674,0.0002762996,0.00006464158],"domain_scores_gemma":[0.9994718,0.00024901616,0.00013949556,0.000040128332,0.000047315683,0.000052250525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006271295,0.00005300219,0.00011801206,0.0000731748,0.00007903289,0.00021347051,0.000112308815,0.00003288362,0.00001371245],"category_scores_gemma":[0.00013415192,0.000039016537,0.00003230003,0.000075171214,0.00021526446,0.00048705385,0.00002072496,0.00014283214,4.543613e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008458611,0.00006868272,0.9672466,0.0000010219615,0.00004259296,0.00007565136,0.003933433,0.00008679236,2.1381346e-7,0.00028921518,0.000009439094,0.028161794],"study_design_scores_gemma":[0.001698506,0.000037059635,0.9919058,0.000022836386,0.000030005293,0.000017570545,0.0030101368,0.00005828914,8.322262e-7,0.002647455,0.00053130643,0.000040172257],"about_ca_topic_score_codex":0.0017767607,"about_ca_topic_score_gemma":0.00527427,"teacher_disagreement_score":0.028121622,"about_ca_system_score_codex":0.00003571489,"about_ca_system_score_gemma":0.00011782295,"threshold_uncertainty_score":0.29431665},"labels":[],"label_agreement":null},{"id":"W4414079339","doi":"10.1016/j.uclim.2025.102602","title":"The divergent effects of spatial structure of urban agglomerations on carbon emission reduction capacity","year":2025,"lang":"en","type":"article","venue":"Urban Climate","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Social Science Fund of China; National Planning Office of Philosophy and Social Science; Canada Excellence Research Chairs, Government of Canada; Ministry of Natural Resources of the People's Republic of China","keywords":"Urban agglomeration; Carbon fibers; Polycentricity; Reduction (mathematics); Sustainable development; Urban density; Population; Urban structure","score_opus":0.00991309053451687,"score_gpt":0.27088383190936827,"score_spread":0.2609707413748514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414079339","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9933794,0.00016617506,0.000019113711,0.00021887656,0.0011910654,0.00033631932,0.000032493692,0.000028892004,0.0046276534],"genre_scores_gemma":[0.9993682,0.00007351398,0.000019339384,0.000011425663,0.00013549998,0.000004858775,0.000009850545,0.000004262373,0.00037306937],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988642,0.00014761357,0.00028826765,0.00018940374,0.00030454193,0.00020600947],"domain_scores_gemma":[0.99927175,0.00014334511,0.00017940995,0.00024801158,0.0001091461,0.000048330116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024933484,0.000097055345,0.00016661007,0.00005387069,0.00055365515,0.00002189097,0.00019669873,0.00009949558,0.000026007478],"category_scores_gemma":[0.00015605117,0.00006945955,0.000086625645,0.000267586,0.00031333294,0.000064634834,0.00002307564,0.0001326018,4.0123143e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017580428,0.00021058178,0.87984943,0.0003369182,0.000062014675,8.24032e-7,0.009105266,0.000021699747,0.08973948,0.016924074,0.0012526293,0.0023213031],"study_design_scores_gemma":[0.00064906426,0.00017222017,0.5848165,0.00036394424,0.00017073326,6.618574e-8,0.0008600774,0.00014557038,0.4042376,0.005366163,0.0029919567,0.00022610478],"about_ca_topic_score_codex":0.0028449963,"about_ca_topic_score_gemma":0.0013677095,"teacher_disagreement_score":0.31449813,"about_ca_system_score_codex":0.000073595234,"about_ca_system_score_gemma":0.00008850474,"threshold_uncertainty_score":0.43008024},"labels":[],"label_agreement":null},{"id":"W4414086361","doi":"10.1016/j.tra.2025.104650","title":"The Hitchhiker’s Guide to challenges in transport policy research: Towards ANSWERing questions regarding life, mobility, and everything","year":2025,"lang":"en","type":"article","venue":"Transportation Research Part A Policy and Practice","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Instituto de Sistemas Complejos de Ingeniería; National Natural Science Foundation of China","keywords":"Identification (biology); Resilience (materials science); Field (mathematics); Transportation planning; Transport policy; State (computer science); Policy analysis; Component (thermodynamics); Public policy","score_opus":0.26431423383864566,"score_gpt":0.5416925992157736,"score_spread":0.27737836537712796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414086361","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44522357,0.008684976,0.00022620846,0.44135973,0.00015907561,0.0021090708,0.000056961657,0.0001371464,0.10204326],"genre_scores_gemma":[0.9716152,0.023967292,0.00031796127,0.00054115884,0.0004143383,0.0002699379,0.0000085019665,0.00001618758,0.0028493977],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99404466,0.0022749286,0.0006600618,0.0006809706,0.0012408505,0.0010985293],"domain_scores_gemma":[0.99191755,0.0062795267,0.00007289119,0.00042356653,0.0008155692,0.0004908876],"candidate_categories":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.024829406,0.00017738806,0.00026668492,0.0009459533,0.00272682,0.00031674208,0.0004439742,0.00019746779,0.000015054981],"category_scores_gemma":[0.014356857,0.0001581891,0.000058851714,0.0032130554,0.0011012538,0.0013069208,0.00003099902,0.0010830967,0.0000046791283],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012042203,0.00035770467,0.06291917,0.00044898488,0.000102927515,0.00005760783,0.12104488,0.00010299475,0.00013456732,0.7588416,0.0017819192,0.053003453],"study_design_scores_gemma":[0.00035205434,0.00005437743,0.33760703,0.00017278064,0.00001584543,4.5478134e-7,0.026849244,0.00001301306,0.000021907388,0.009248576,0.625525,0.00013975073],"about_ca_topic_score_codex":0.16190332,"about_ca_topic_score_gemma":0.29297397,"teacher_disagreement_score":0.749593,"about_ca_system_score_codex":0.00029536366,"about_ca_system_score_gemma":0.003247568,"threshold_uncertainty_score":0.9985715},"labels":[],"label_agreement":null},{"id":"W4414118966","doi":"10.1177/23998083251378327","title":"What drives you to relocate your home? Investigating preferences and residential mismatching of recent (prior to COVID and during-after COVID) movers in the Greater Toronto Area","year":2025,"lang":"en","type":"article","venue":"Environment and Planning B Urban Analytics and City Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Preference; Mixed logit; Telecommuting; Cognitive dissonance; Revealed preference; Residential property; Residence; Coronavirus disease 2019 (COVID-19); Residential area; Timeline","score_opus":0.036799897316630775,"score_gpt":0.29244052536107107,"score_spread":0.2556406280444403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414118966","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99683917,0.00089316623,0.000073300114,0.0016761741,0.000064298205,0.00022814913,0.0000060552825,0.000006496517,0.00021317156],"genre_scores_gemma":[0.99837923,0.00080071436,0.00017768063,0.00040742135,0.000021099786,0.0000065637673,0.000001030897,0.0000023032462,0.00020393412],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986695,0.00006335512,0.00022581666,0.00043799798,0.00034703198,0.00025628478],"domain_scores_gemma":[0.99948084,0.00008245701,0.00006713905,0.0001357966,0.00001332791,0.0002204259],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011230223,0.00012335129,0.00017339311,0.000095841395,0.0006041672,0.00043484796,0.00021019421,0.00004591643,0.000026471642],"category_scores_gemma":[0.00010969017,0.00009519747,0.0000145486965,0.00023188497,0.0008232001,0.0005697209,0.00012724305,0.0000937992,1.5943364e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003342041,0.000010961284,0.9394301,0.000025708401,0.000005394331,0.0000035024725,0.05954628,0.000049131148,0.00026967083,0.000064671716,0.000019482284,0.0005416599],"study_design_scores_gemma":[0.0001699059,0.00003503613,0.9769281,0.00013264024,0.000023186074,2.659578e-7,0.021301344,0.00012732328,0.00011682584,0.0006166804,0.00042266035,0.00012603351],"about_ca_topic_score_codex":0.0022058806,"about_ca_topic_score_gemma":0.0026926394,"teacher_disagreement_score":0.038244937,"about_ca_system_score_codex":0.000068303896,"about_ca_system_score_gemma":0.00006592079,"threshold_uncertainty_score":0.46468267},"labels":[],"label_agreement":null},{"id":"W4414207298","doi":"10.5198/jtlu.2025.2604","title":"Exploring the role of the built and natural environment in encouraging active travel for different trip purposes in Montreal","year":2025,"lang":"en","type":"article","venue":"Journal of Transport and Land Use","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"Mitacs","keywords":"TRIPS architecture; Intersection (aeronautics); Built environment; Travel behavior; Natural (archaeology); Tourism; Land use; Tree (set theory); Natural experiment","score_opus":0.030546020979508322,"score_gpt":0.25830398766433105,"score_spread":0.22775796668482273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414207298","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980989,0.0008771415,0.000020075686,0.00062983925,0.000102557264,0.00020104012,0.000008404459,9.197671e-7,0.0000610984],"genre_scores_gemma":[0.9989143,0.0009642379,0.000011749637,0.000015007986,0.000031193766,0.0000065573045,5.353265e-7,0.0000020749167,0.000054357384],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993554,0.000037486563,0.00027240705,0.00007940011,0.00013700075,0.000118311786],"domain_scores_gemma":[0.9996678,0.00013885432,0.00009936412,0.00005154724,0.000014840822,0.000027567365],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003119394,0.000067588204,0.00018858166,0.000058785303,0.00009994365,0.000016260123,0.00011855121,0.000026898118,0.000002824111],"category_scores_gemma":[0.000012380785,0.000034246492,0.00007393609,0.00007610388,0.00011209789,0.00027017534,0.000004681131,0.00016846164,4.618866e-9],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022855344,0.00006323557,0.97570926,0.000014719792,0.000016898417,0.0000020996852,0.010651962,0.000011910714,0.00021072144,0.00006596123,7.0805726e-7,0.013023975],"study_design_scores_gemma":[0.0007317354,0.00001762703,0.9926174,0.00008985486,0.000042577507,2.5572027e-7,0.0039967755,0.000023374261,0.0006952498,0.0014333399,0.00031296117,0.000038825845],"about_ca_topic_score_codex":0.00250824,"about_ca_topic_score_gemma":0.029989721,"teacher_disagreement_score":0.027481481,"about_ca_system_score_codex":0.000025876545,"about_ca_system_score_gemma":0.000034014658,"threshold_uncertainty_score":0.9877104},"labels":[],"label_agreement":null},{"id":"W4414207302","doi":"10.3390/urbansci9090370","title":"Learning from the Best and Worst: Problems, Prospects and Policy Implications from Global Benchmarking of Urban Passenger Transport Sustainability in Greater Manchester and the Leicester Metropolitan Area, UK","year":2025,"lang":"en","type":"article","venue":"Urban Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Benchmarking; Sustainability; Public transport; Urban sustainability; Sustainable transport; Sample (material); Passenger transport","score_opus":0.016208357328337107,"score_gpt":0.2938445956460603,"score_spread":0.2776362383177232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414207302","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98739755,0.00105601,0.000091080816,0.0076249973,0.00004605474,0.00073279615,0.00002997125,0.000017185977,0.0030043267],"genre_scores_gemma":[0.999385,0.000051384566,0.000092908514,0.00016672653,0.00007787821,0.00004163363,0.0000043331183,0.0000037580305,0.00017639378],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980749,0.00017059191,0.00037713922,0.00062551664,0.00032889735,0.00042296457],"domain_scores_gemma":[0.9988254,0.00040034304,0.00013596614,0.00037177312,0.00016184787,0.00010470246],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0016569728,0.00016257225,0.00026870688,0.000086396874,0.0009257758,0.0002500405,0.0004990568,0.000079172845,0.000015293092],"category_scores_gemma":[0.0002818296,0.00010059279,0.000042747994,0.0013308486,0.005291657,0.00049824844,0.000108784545,0.00022502664,1.736553e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025389712,0.000025137708,0.96992606,0.000016413234,0.000008577325,6.389379e-7,0.018183134,0.0000018481777,0.000029989078,0.010908693,0.000013508679,0.00086060225],"study_design_scores_gemma":[0.00037146176,0.000016841102,0.9606495,0.0000628367,0.000040231436,1.5553891e-7,0.009055985,0.000048603557,0.000028376713,0.029287485,0.00033386875,0.00010464609],"about_ca_topic_score_codex":0.051720228,"about_ca_topic_score_gemma":0.025983782,"teacher_disagreement_score":0.025736446,"about_ca_system_score_codex":0.00031691737,"about_ca_system_score_gemma":0.00046775473,"threshold_uncertainty_score":0.99741536},"labels":[],"label_agreement":null},{"id":"W4414224040","doi":"10.32866/001c.144294","title":"Bicycle and Free Car Parking Availability at Trip Destinations: A Sustainable Mobility Test for Parking","year":2025,"lang":"en","type":"article","venue":"Findings","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"TRIPS architecture; Destinations; Identification (biology); Trip generation; Test (biology); Parking guidance and information","score_opus":0.018443171130448688,"score_gpt":0.29975248824961176,"score_spread":0.28130931711916307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414224040","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98727757,0.00030789344,0.00042831106,0.0010499252,0.00012411614,0.001013242,0.000042645705,0.00012739285,0.009628896],"genre_scores_gemma":[0.98884267,0.000009897904,0.0006662364,0.00008603183,0.000062538515,0.00015973087,0.000011531192,0.000007493938,0.0101538645],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984154,0.00006308106,0.00031801808,0.0004952019,0.00019721029,0.00051110226],"domain_scores_gemma":[0.99807453,0.0011990945,0.00008280146,0.00032291622,0.00022246543,0.00009821253],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002174566,0.00013288915,0.00021783177,0.0000933839,0.0017689567,0.00015960477,0.0003284221,0.0001327296,0.00012184515],"category_scores_gemma":[0.0046525327,0.00013611339,0.0000874494,0.00055980444,0.0004259959,0.0003872598,0.00011719705,0.0001196227,0.0000017930256],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026933742,0.00009498381,0.9921792,0.00016795399,0.000007664191,0.000001398954,0.0025465405,6.9001715e-7,0.00012603503,0.0028160885,0.0012616639,0.0007708514],"study_design_scores_gemma":[0.0006054179,0.00003006533,0.8986665,0.0000515924,0.000047196678,1.0939318e-7,0.0025219163,0.00008864812,0.00063605467,0.040050246,0.057117682,0.00018457587],"about_ca_topic_score_codex":0.002517689,"about_ca_topic_score_gemma":0.0049922457,"teacher_disagreement_score":0.0935127,"about_ca_system_score_codex":0.00047430675,"about_ca_system_score_gemma":0.0002625593,"threshold_uncertainty_score":0.9995306},"labels":[],"label_agreement":null},{"id":"W4414245219","doi":"10.3390/smartcities8050151","title":"Mining Multimodal Travel Patterns of Metro and Bikesharing Using Tensor Decomposition and Clustering","year":2025,"lang":"en","type":"article","venue":"Smart Cities","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"China Scholarship Council","keywords":"Jaccard index; Cluster analysis; Tensor decomposition; Categorization; Similarity (geometry); Decomposition; Scalability","score_opus":0.030031387050690583,"score_gpt":0.32000805537257493,"score_spread":0.28997666832188435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414245219","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99488485,0.00019214339,0.0034940643,0.000072556686,0.00012129265,0.0000856012,0.000011560126,0.000018503812,0.0011194277],"genre_scores_gemma":[0.9981689,0.000016234679,0.0015943053,0.00003191228,0.000038151622,0.0000021977764,0.000002381609,0.00000359375,0.00014232282],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994378,0.000032347016,0.00015728723,0.00014345392,0.00009096165,0.00013812729],"domain_scores_gemma":[0.9997607,0.000075454875,0.000044470435,0.000054319604,0.000033455573,0.000031610583],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021677258,0.00006518167,0.00014068326,0.00009130201,0.00027425427,0.0000565149,0.000054844117,0.000045337576,0.000016244754],"category_scores_gemma":[0.000019229083,0.00006629296,0.000025112899,0.000080062644,0.0001558276,0.00020056636,0.000030763546,0.000045248897,5.3205046e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000109699395,0.0000076145657,0.9909311,0.000098059245,0.000012329223,7.7854884e-7,0.005759577,0.000005142974,0.001426035,0.00016779962,0.000001151465,0.0015794773],"study_design_scores_gemma":[0.00022833065,0.000009626106,0.97828734,0.00016653209,0.00003259658,1.6963676e-7,0.017160293,0.0020859374,0.0016505107,0.00027128874,0.000025016652,0.00008233907],"about_ca_topic_score_codex":0.0056076143,"about_ca_topic_score_gemma":0.0061611678,"teacher_disagreement_score":0.012643706,"about_ca_system_score_codex":0.000023501882,"about_ca_system_score_gemma":0.00002887962,"threshold_uncertainty_score":0.8477073},"labels":[],"label_agreement":null},{"id":"W4414333827","doi":"10.1177/10442073251370266","title":"Inclusion of People With Disabilities in Public Transportation: A Case-Study Analysis of Canada and U.S. Policies","year":2025,"lang":"en","type":"article","venue":"Journal of Disability Policy Studies","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"GF Strong Rehabilitation Centre; Positive Living Society of British Columbia; University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Inclusion (mineral); Public policy; Universal design; Policy analysis; Public transport; Physical access; Social policy; Policy studies","score_opus":0.034955408355688354,"score_gpt":0.3601721550148019,"score_spread":0.32521674665911354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414333827","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.993599,0.0005207738,0.0000032797075,0.0053052455,0.000039473398,0.00022808928,0.000047256177,0.0000035795679,0.0002532866],"genre_scores_gemma":[0.9997922,0.000080806385,0.000025082303,0.000032330514,0.00003056524,0.000005888533,8.201342e-7,0.0000027858132,0.000029501358],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978887,0.00023770446,0.00097214006,0.00016099853,0.00052474043,0.00021576196],"domain_scores_gemma":[0.99798346,0.00083696545,0.00040217087,0.00018380619,0.00051754253,0.00007604397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013368184,0.00012712707,0.0008831619,0.0003399554,0.00035778675,0.000014344112,0.00019226248,0.000037709477,0.000010300524],"category_scores_gemma":[0.0009787888,0.00009198743,0.00012933907,0.0027720963,0.0013999437,0.0002751705,0.000052361916,0.00011778018,3.1405076e-9],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059245533,0.0003830992,0.8157578,0.00014488044,0.00068612635,0.0000071166924,0.18194447,0.00006801646,0.0000019474198,0.00076837087,0.000012060989,0.0001668247],"study_design_scores_gemma":[0.00027433643,0.000080816826,0.667128,0.000028449263,0.0003777489,4.0751436e-7,0.3311492,0.0000024250005,0.000007402286,0.00088166056,0.000020195366,0.000049298877],"about_ca_topic_score_codex":0.92713726,"about_ca_topic_score_gemma":0.9988571,"teacher_disagreement_score":0.14920473,"about_ca_system_score_codex":0.00054869533,"about_ca_system_score_gemma":0.0014988253,"threshold_uncertainty_score":0.51581514},"labels":[],"label_agreement":null},{"id":"W4414399012","doi":"10.1139/cjce-2025-0170","title":"How did mobility choices evolve in the first year of the COVID-19 pandemic? Identifying the factors affecting mobility choices: a case study in New York City","year":2025,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Virginia Polytechnic Institute and State University","keywords":"TRIPS architecture; Recreation; Public transport; Econometric model; Panel data; Affect (linguistics); Travel behavior; Aggregate (composite)","score_opus":0.06270450929815459,"score_gpt":0.3037198842872335,"score_spread":0.24101537498907893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414399012","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99706155,0.00076194096,0.00031059716,0.0005936011,0.00045976677,0.000646979,0.000008652271,0.000009910392,0.0001469839],"genre_scores_gemma":[0.99978423,0.00000560706,0.0000068691984,0.00005657984,0.00009805369,0.0000055361893,2.4357982e-7,0.00000666721,0.00003620947],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982763,0.0002881929,0.0005033746,0.00020679271,0.00034267738,0.00038264098],"domain_scores_gemma":[0.9979398,0.0011214626,0.0002477812,0.00036000038,0.000068843765,0.00026207868],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043936195,0.000159641,0.0003105105,0.00020455755,0.0004955209,0.00022538479,0.00097015756,0.00009446409,0.00003543379],"category_scores_gemma":[0.002207971,0.00009627215,0.00018252833,0.0012855405,0.00019497119,0.00036714872,0.000025702817,0.0007354492,6.073404e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004013317,0.000039644423,0.9493035,0.000072842005,0.000023966297,0.000051308085,0.048169162,0.0022384736,0.000003422408,0.000017239541,0.000029764948,0.0000466648],"study_design_scores_gemma":[0.00036738763,0.000016436254,0.92634594,0.00012440016,0.000039748116,0.000006890177,0.07138997,0.000069638285,0.000006163364,0.00014028217,0.0013979456,0.00009519317],"about_ca_topic_score_codex":0.4236575,"about_ca_topic_score_gemma":0.9953311,"teacher_disagreement_score":0.57167363,"about_ca_system_score_codex":0.0007418161,"about_ca_system_score_gemma":0.0020613773,"threshold_uncertainty_score":0.5801804},"labels":[],"label_agreement":null},{"id":"W4414408878","doi":"10.21203/rs.3.rs-6942294/v1","title":"Zooming in and out of compact urban centers in a rapidly developed metropolis: A multi-scale investigation through isobenefit lens in Seoul","year":2025,"lang":"en","type":"preprint","venue":"Research Square","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Research Foundation of Korea; Ministry of Education; National Research Foundation","keywords":"Metropolitan area; Compact city; Quarter (Canadian coin); Service (business); Center (category theory); Public transport; Urban planning; Diversity (politics)","score_opus":0.17312812284930923,"score_gpt":0.44661864508479704,"score_spread":0.2734905222354878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414408878","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9941786,0.0011704159,0.000060969196,0.0010896445,0.000115681534,0.0013852718,0.00011947789,0.000023484987,0.0018564635],"genre_scores_gemma":[0.99783754,0.00059453247,0.0011023707,0.000027317541,0.000040602165,0.00005874896,0.00006341975,0.000011593518,0.000263854],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9960079,0.0011336269,0.0007066782,0.0006714324,0.00079488487,0.0006854677],"domain_scores_gemma":[0.9987837,0.0003980024,0.00013995991,0.00031883514,0.0002457627,0.00011371062],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036813796,0.00020709746,0.0005834344,0.00092302106,0.00014127023,0.00009317346,0.000528554,0.00037430835,0.00003464232],"category_scores_gemma":[0.00064738584,0.00021456969,0.00008434997,0.0013856615,0.00068334036,0.00038320408,0.0002722128,0.0013377771,0.0000015953667],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000065246946,0.00015774474,0.92198807,0.00077002496,0.000010438967,0.000009287967,0.07633002,0.000041896612,0.000097292206,0.00016953256,0.00006146473,0.00029898825],"study_design_scores_gemma":[0.0009719191,0.000022331142,0.97687155,0.0025958035,0.0000043174628,1.8868342e-8,0.016314724,0.00078910304,0.00023853613,0.0017309494,0.0002641347,0.00019663612],"about_ca_topic_score_codex":0.2526773,"about_ca_topic_score_gemma":0.57769114,"teacher_disagreement_score":0.32501385,"about_ca_system_score_codex":0.00094121,"about_ca_system_score_gemma":0.0014305098,"threshold_uncertainty_score":0.8749898},"labels":[],"label_agreement":null},{"id":"W4414455033","doi":"10.5622/illinois/9780252046186.003.0009","title":"Transforming Transportation","year":2024,"lang":"en","type":"book-chapter","venue":"University of Illinois Press eBooks","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Public transport; Electrification; Equity (law); Transit (satellite); Greenhouse gas; Quarter (Canadian coin); Bus rapid transit","score_opus":0.028458494834519826,"score_gpt":0.23603702289679876,"score_spread":0.20757852806227894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414455033","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0016770816,0.00050377706,0.00030310918,0.000044574022,0.00020705281,0.000346961,0.00029999035,0.00013006417,0.9964874],"genre_scores_gemma":[0.07889926,0.00022043222,0.000094715135,0.0000075881367,0.000101723,1.502673e-7,0.000056082306,0.00002125573,0.9205988],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988936,0.000011039737,0.00020907873,0.00032539983,0.00037760145,0.00018327821],"domain_scores_gemma":[0.99943364,0.000034307337,0.0001331183,0.00017670012,0.00011805677,0.00010420354],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015773016,0.00018150418,0.00029944308,0.00010350621,0.00023540822,0.00001926649,0.0003545761,0.00039020978,0.00039651373],"category_scores_gemma":[0.0000012777656,0.00021879986,0.00032608275,0.000009593632,0.000565904,0.00011861541,0.0000068628915,0.0002950333,0.000013981247],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000074421056,0.00001610798,0.000083576866,0.00034920702,0.00017406298,0.00011179048,0.035431292,0.000004940189,0.00004169009,0.9510631,0.00064864074,0.0120011885],"study_design_scores_gemma":[0.00016139797,0.000018484621,0.00005488923,0.00025251549,0.0003459168,5.4399166e-8,0.00038150846,0.0000024722917,0.0001480475,0.014158143,0.9842317,0.0002448701],"about_ca_topic_score_codex":0.0066733486,"about_ca_topic_score_gemma":0.016603015,"teacher_disagreement_score":0.98358303,"about_ca_system_score_codex":0.00006998555,"about_ca_system_score_gemma":0.00016820455,"threshold_uncertainty_score":0.9999413},"labels":[],"label_agreement":null},{"id":"W4414458232","doi":"10.1016/j.cities.2025.106602","title":"Street review: A participatory AI-based framework for assessing streetscape inclusivity","year":2025,"lang":"en","type":"article","venue":"Cities","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Montréal; Mila - Quebec Artificial Intelligence Institute","funders":"Social Sciences and Humanities Research Council; Social Sciences and Humanities Research Council of Canada; Fonds de Recherche du Québec-Société et Culture; Fonds de recherche du Québec","keywords":"Citizen journalism; Intersectionality; Focus group; Perception; Walkability; Participatory action research; Quality (philosophy); Urban policy; Urban design","score_opus":0.059464064652073906,"score_gpt":0.4121793421010777,"score_spread":0.3527152774490038,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414458232","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8674357,0.025340695,0.06215548,0.018772723,0.0018675342,0.0017119495,0.00009735642,0.00048372336,0.022134837],"genre_scores_gemma":[0.99306446,0.00017466917,0.0013510287,0.00474907,0.00015410242,0.00012234316,0.000014603039,0.0000069011817,0.0003627928],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988062,0.00014193603,0.0002559998,0.00024364435,0.0002259048,0.00032635545],"domain_scores_gemma":[0.99892384,0.0005227194,0.00008390247,0.0002507899,0.0001471391,0.000071614566],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009013286,0.000111405374,0.000249522,0.000048523227,0.0007579325,0.00010199651,0.00026694042,0.00008071031,0.00016625751],"category_scores_gemma":[0.00067584147,0.00010812525,0.00013491782,0.00028928372,0.0003986703,0.00030452097,0.000026507705,0.00015484093,0.0000021309452],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020597732,0.00014168235,0.8971604,0.001590168,0.00003280054,0.0000035016878,0.0012646266,0.0000071087366,0.0000093777235,0.07136995,0.014394382,0.01400539],"study_design_scores_gemma":[0.00083334994,0.000054267217,0.18863757,0.008137038,0.00044756595,2.3149395e-8,0.009470361,0.00033048826,0.0015219122,0.3861858,0.40353602,0.00084559794],"about_ca_topic_score_codex":0.00041210477,"about_ca_topic_score_gemma":0.0038055265,"teacher_disagreement_score":0.70852286,"about_ca_system_score_codex":0.00008519599,"about_ca_system_score_gemma":0.00069462095,"threshold_uncertainty_score":0.582948},"labels":[],"label_agreement":null},{"id":"W4414498626","doi":"10.1016/j.cities.2025.106511","title":"Satisfaction in pedestrianized areas: What shapes positive and negative experiences?","year":2025,"lang":"en","type":"article","venue":"Cities","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institut National de la Recherche Scientifique; Polytechnique Montréal","funders":"Campbell Family Mental Health Research Institute; Natural Sciences and Engineering Research Council of Canada; Mitacs; Institut national de la recherche scientifique","keywords":"Cohabitation; Perception; Cluster (spacecraft); Position (finance); Variable (mathematics); Variables; Public opinion","score_opus":0.015885353013746363,"score_gpt":0.29889121544622554,"score_spread":0.28300586243247916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414498626","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9871018,0.0009861869,0.000027188737,0.00063626945,0.00020026218,0.00016252311,0.000002532897,0.00003083568,0.01085239],"genre_scores_gemma":[0.9986892,0.00031777273,0.000030421514,0.00012277567,0.000035292498,0.000034647353,0.0000014544106,0.0000017774902,0.0007666815],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99939257,0.000086480126,0.000118862794,0.00016130545,0.00010544255,0.00013534445],"domain_scores_gemma":[0.9996815,0.00017711737,0.00003307495,0.000039357074,0.000039206985,0.000029793719],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001671152,0.000062472915,0.00011481963,0.00006801742,0.00024864203,0.00019671579,0.00006272207,0.00003736951,0.00017394678],"category_scores_gemma":[0.00009610048,0.00005962391,0.00002089963,0.00022651753,0.0004324379,0.0010165585,0.000011319907,0.000065396336,0.0000012512771],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046135676,0.000014562835,0.7666479,0.000012021582,0.000008486162,0.000004522174,0.20959093,4.2389163e-7,0.000024467203,0.0048026815,0.000043974356,0.018803902],"study_design_scores_gemma":[0.00016967452,0.0000067047245,0.63451874,0.00007625015,0.0000041395174,3.994188e-8,0.35523647,0.000005168018,0.00022299489,0.00958604,0.000120731784,0.00005301085],"about_ca_topic_score_codex":0.007790766,"about_ca_topic_score_gemma":0.027166493,"teacher_disagreement_score":0.14564556,"about_ca_system_score_codex":0.000059816255,"about_ca_system_score_gemma":0.00010551898,"threshold_uncertainty_score":0.99881643},"labels":[],"label_agreement":null},{"id":"W4414508484","doi":"10.64628/aam.jdtqpxjg3","title":"Cars versus kids: How resistance to change limits children’s right to the city","year":2025,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Queen's University","funders":"","keywords":"Resistance (ecology); Limit (mathematics); Population; Work (physics); Intersection (aeronautics)","score_opus":0.04197122137141789,"score_gpt":0.3133156199463385,"score_spread":0.2713443985749206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414508484","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.73586065,0.00028690445,0.00020015043,0.12635335,0.0010093545,0.00084599585,0.000027526055,0.00012562463,0.13529044],"genre_scores_gemma":[0.9638403,0.000016181979,0.00015975333,0.0029893436,0.0003204196,0.00006693307,0.0000030845538,0.0000037728762,0.03260021],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99888617,0.00006898026,0.000105310086,0.00032071336,0.00029354115,0.0003252893],"domain_scores_gemma":[0.99933225,0.00008674488,0.00002297814,0.00033538748,0.00007942679,0.00014324092],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042765882,0.00009901281,0.00012334797,0.000049608523,0.0006400439,0.00013442159,0.0005999863,0.00006538678,0.00026600203],"category_scores_gemma":[0.0001356086,0.00006721866,0.00006769144,0.000777019,0.00010313531,0.0001826985,0.00003669062,0.000097452634,0.0000396521],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023827152,0.00010318761,0.77903086,0.000012374027,0.000059728,0.0000036055524,0.01646363,7.03584e-7,0.000024418918,0.020233197,0.17515802,0.008672015],"study_design_scores_gemma":[0.00017040872,0.000013394012,0.68435305,0.000017181866,0.000016474767,4.1177013e-9,0.0006244873,1.9082262e-7,0.00049100973,0.00031273477,0.3138953,0.00010579157],"about_ca_topic_score_codex":0.0044942354,"about_ca_topic_score_gemma":0.3830994,"teacher_disagreement_score":0.37860516,"about_ca_system_score_codex":0.00011006147,"about_ca_system_score_gemma":0.00009580644,"threshold_uncertainty_score":0.6793969},"labels":[],"label_agreement":null},{"id":"W4414516223","doi":"10.1016/j.jcmr.2025.100092","title":"Cycling and cognition in middle-aged and older adults: A scoping review","year":2025,"lang":"en","type":"article","venue":"Journal of Cycling and Micromobility Research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; Ottawa Hospital; Children's Hospital of Eastern Ontario; Bruyère; Public Health Agency of Canada; University of Ottawa; Dalhousie University; Institute of Population and Public Health","funders":"","keywords":"Cycling; Cognition; Recreation; Cognitive decline; Psychological intervention; Population; Human factors and ergonomics; Association (psychology)","score_opus":0.07275903839707774,"score_gpt":0.44524530322502626,"score_spread":0.3724862648279485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414516223","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9110497,0.08683604,0.000027329606,0.0010881744,0.000059545488,0.00053673587,0.000002071791,0.000005894072,0.00039449416],"genre_scores_gemma":[0.95150584,0.04809522,0.00018357641,0.00009615082,0.000057713336,0.000006459254,9.494706e-7,0.0000037428438,0.000050375667],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978581,0.0006236596,0.0006321031,0.00025864696,0.00032609396,0.00030137465],"domain_scores_gemma":[0.9985184,0.00082870276,0.00012569607,0.00010028486,0.00029637743,0.00013055156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010895902,0.0000857138,0.0003603261,0.00022721874,0.0004236987,0.00012594377,0.00012708167,0.00010110963,0.000021947088],"category_scores_gemma":[0.0012738913,0.00007471685,0.000051149556,0.00041287547,0.000557691,0.00032343523,0.000051978677,0.0006469254,2.907682e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034329973,0.00034835484,0.91019326,0.016627833,0.000038602037,0.000040097468,0.009121011,3.0012063e-7,0.0031914043,0.00003837548,0.00006871127,0.059988756],"study_design_scores_gemma":[0.0031584336,0.00015961801,0.7121695,0.26785174,0.00010264227,0.000013210376,0.009355255,0.000020531723,0.0014669097,0.0052524055,0.00016986036,0.00027989174],"about_ca_topic_score_codex":0.00064148055,"about_ca_topic_score_gemma":0.0027713387,"teacher_disagreement_score":0.2512239,"about_ca_system_score_codex":0.000052360723,"about_ca_system_score_gemma":0.00030897793,"threshold_uncertainty_score":0.3776324},"labels":[],"label_agreement":null},{"id":"W4414569579","doi":"10.1016/j.tust.2025.107083","title":"Sustainability of rapid-transit expansion in large metropolitan areas: Gaps and solutions for decision-making improvement","year":2025,"lang":"en","type":"article","venue":"Tunnelling and Underground Space Technology","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Hudbay Minerals (Canada); University of Toronto","funders":"","keywords":"Timeline; Metropolitan area; Sustainability; Context (archaeology); Process (computing); Government (linguistics); Taxpayer; Urbanization","score_opus":0.011744161826986779,"score_gpt":0.3108083585765149,"score_spread":0.2990641967495281,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414569579","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79273194,0.003220073,0.1981682,0.0048553753,0.00008359218,0.0005066493,0.000009364118,0.000082944214,0.0003418324],"genre_scores_gemma":[0.9977324,0.0005513441,0.0015180791,0.000032565087,0.000014324029,0.00003336148,0.0000019696213,0.0000063427947,0.00010959543],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985896,0.00004579781,0.00033861375,0.0003969468,0.00011755502,0.0005115364],"domain_scores_gemma":[0.99893093,0.0005431881,0.00008651296,0.00022639816,0.00016890324,0.000044062504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012376148,0.00012794575,0.000310032,0.00043995646,0.00059994677,0.00003346888,0.00015669691,0.0002631028,0.000009965724],"category_scores_gemma":[0.00050663645,0.00012595496,0.000057181267,0.00071806094,0.0005897494,0.00014217308,0.000056929865,0.00017543136,7.8628894e-8],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016077988,0.00035275583,0.1876832,0.00036307322,0.000044699525,0.000003183953,0.0021138962,0.000035853074,0.0006024871,0.77633214,0.00004680315,0.032261144],"study_design_scores_gemma":[0.0007944263,0.00014810154,0.014046663,0.0002487647,0.00005705048,2.4816782e-7,0.07193622,0.0008407152,0.00021830114,0.9103792,0.0011492616,0.000181067],"about_ca_topic_score_codex":0.0015393889,"about_ca_topic_score_gemma":0.019497205,"teacher_disagreement_score":0.20500046,"about_ca_system_score_codex":0.00031214659,"about_ca_system_score_gemma":0.00021480549,"threshold_uncertainty_score":0.9983944},"labels":[],"label_agreement":null},{"id":"W4414575699","doi":"10.1177/03611981251362161","title":"Assessing Disparities in Road Transport Services in Kenya: Geographic Information System and Machine Learning Approach","year":2025,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Socioeconomic status; Poverty; Geographic information system; Population; Service (business); Transport network; Inequality; Index (typography)","score_opus":0.05760489831545469,"score_gpt":0.37421775893603926,"score_spread":0.3166128606205846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414575699","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9939893,0.00071582414,0.000759084,0.0015344515,0.00027042045,0.0010745355,0.00002517648,0.000040678035,0.0015905655],"genre_scores_gemma":[0.9980314,0.0011125464,0.00045324615,0.000030263936,0.00005430086,0.00007573749,0.000042616568,0.000018456843,0.00018143217],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9922347,0.001921652,0.0018311559,0.00039251024,0.0026725105,0.00094744173],"domain_scores_gemma":[0.9971013,0.000525076,0.0004107407,0.00027026233,0.0014523207,0.00024028817],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0104694385,0.00024663366,0.00057272473,0.0025695818,0.0010698178,0.00040822662,0.0009431641,0.00030465264,0.00003254134],"category_scores_gemma":[0.00010016687,0.00020532515,0.00023147074,0.004362814,0.00095818326,0.0035802952,0.0000070495857,0.0028580802,0.0000015833823],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004707076,0.00014365015,0.97739065,0.0011653876,0.000038855494,0.00003183219,0.010323112,0.0010440518,0.00003823989,0.0039788997,0.000012079768,0.0053625465],"study_design_scores_gemma":[0.0014754018,0.00006734189,0.96663815,0.0010849218,0.000032236097,9.351152e-8,0.027144624,0.00070966367,0.000029837589,0.00091935287,0.0017348533,0.00016349784],"about_ca_topic_score_codex":0.21403216,"about_ca_topic_score_gemma":0.41132128,"teacher_disagreement_score":0.19728912,"about_ca_system_score_codex":0.0003880299,"about_ca_system_score_gemma":0.00081425894,"threshold_uncertainty_score":0.99944234},"labels":[],"label_agreement":null},{"id":"W4414592506","doi":"10.3390/su17188218","title":"Impact of Research on the Evolution of Accessibility Standards","year":2025,"lang":"en","type":"article","venue":"Sustainability","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"","keywords":"Sustainable development; Sample (material); Web accessibility; Built environment; Technical standard; Cognition","score_opus":0.03749585025866172,"score_gpt":0.47745470458626893,"score_spread":0.43995885432760723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414592506","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96786934,0.000119969816,0.00021051742,0.0016132824,0.00007594844,0.0009056606,0.000061685685,0.000028341985,0.029115278],"genre_scores_gemma":[0.9994076,0.000003616702,0.000006294482,0.000004779198,0.000028854274,0.000023226998,0.0000012768875,0.0000030962951,0.0005212475],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9958761,0.0018145096,0.00044407597,0.00034857536,0.0010962975,0.00042047715],"domain_scores_gemma":[0.99171185,0.0014814608,0.00012137229,0.0008589546,0.0057631964,0.00006315649],"candidate_categories":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.019138124,0.000096472824,0.00024958447,0.000170756,0.0006482811,0.00003083255,0.0006784613,0.0001277112,0.0003584383],"category_scores_gemma":[0.012620056,0.000061325634,0.0002505863,0.0021189852,0.0031137264,0.00019918923,0.00008405742,0.00040673124,4.2743832e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.00030207454,0.00034991177,0.87862104,0.00018394637,0.000019538043,2.9188553e-7,0.001838969,0.000013506043,0.000020161493,0.116970286,0.00037556837,0.0013046978],"study_design_scores_gemma":[0.00010648118,0.00008393008,0.7106338,0.00002194455,0.000006737755,2.5890217e-9,0.008232102,0.000006664688,0.00019181974,0.2805148,0.00016668091,0.00003504047],"about_ca_topic_score_codex":0.043715477,"about_ca_topic_score_gemma":0.0035729604,"teacher_disagreement_score":0.16798726,"about_ca_system_score_codex":0.00645185,"about_ca_system_score_gemma":0.0108769415,"threshold_uncertainty_score":0.9995992},"labels":[],"label_agreement":null},{"id":"W4414800238","doi":"10.11159/ijci.2025.015","title":"Designing Livable Transit-Oriented Development: A Multi-Stakeholder Choice Experiment on Street-Level Trade-Offs","year":2025,"lang":"en","type":"article","venue":"International Journal of Civil Infrastructure","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Work (physics); Field (mathematics); Key (lock); Matching (statistics); Quality (philosophy)","score_opus":0.05075413094899588,"score_gpt":0.33041872417401424,"score_spread":0.27966459322501835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414800238","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89862967,0.000637236,0.079088196,0.003088877,0.004592023,0.00036219327,0.00004641949,0.00006735021,0.0134880515],"genre_scores_gemma":[0.9898971,0.000022262986,0.008336995,0.0005688821,0.00038491987,0.000004600486,0.000010491508,0.000011238711,0.00076353183],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977439,0.00010140122,0.00066877657,0.00023182087,0.00097403175,0.00028005562],"domain_scores_gemma":[0.9989406,0.00014412706,0.00033785263,0.00011547317,0.00032326597,0.0001386791],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045847814,0.00019612604,0.0002569392,0.0002985969,0.0002839794,0.00013373933,0.00074485317,0.00014947436,0.0007934134],"category_scores_gemma":[0.00014653963,0.00017086722,0.00015107337,0.00026928657,0.00014137157,0.00047552685,0.000022841112,0.000435108,0.0000031367285],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010494947,0.0016529597,0.8208219,0.00008578092,0.0021260579,0.00033260247,0.06857037,0.003394914,0.012420947,0.010164854,0.023500513,0.055879634],"study_design_scores_gemma":[0.004342859,0.00010950525,0.73339,0.0008558539,0.00008382606,0.000005939685,0.005104944,0.000084513085,0.0370117,0.0015501124,0.21695223,0.0005085272],"about_ca_topic_score_codex":0.00015401197,"about_ca_topic_score_gemma":0.002730145,"teacher_disagreement_score":0.19345173,"about_ca_system_score_codex":0.000403404,"about_ca_system_score_gemma":0.0008436994,"threshold_uncertainty_score":0.868732},"labels":[],"label_agreement":null},{"id":"W4414871140","doi":"10.32866/001c.145052","title":"Close, but how Close? Understanding Proximity Perceptions of Public Transport Construction Sites","year":2025,"lang":"en","type":"article","venue":"Findings","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research","keywords":"Closeness; Perception; Public transport; Survey data collection; Transport infrastructure; Risk perception","score_opus":0.05312865775106294,"score_gpt":0.2987968899924411,"score_spread":0.24566823224137815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414871140","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9706978,0.00003417884,0.0034948539,0.0034085633,0.0002842582,0.00029397465,0.000054215256,0.00011544057,0.021616671],"genre_scores_gemma":[0.9968999,0.00003147422,0.00063082256,0.000037168225,0.000069078524,0.000010804286,0.00003763987,0.0000061930646,0.002276887],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998757,0.0000692046,0.00024623942,0.0002960926,0.00031560782,0.00031587968],"domain_scores_gemma":[0.9994633,0.0000743555,0.00009325524,0.00016796075,0.000115262505,0.00008586936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067778636,0.0001146358,0.00022119013,0.00019511794,0.00068397174,0.0000842139,0.00024169942,0.0001668401,0.00044188843],"category_scores_gemma":[0.00010802194,0.000116659656,0.00014308341,0.00076316315,0.0007854429,0.00074916193,0.000011912158,0.00018050117,0.0000037417321],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007620399,0.000052306284,0.8626633,0.00005115231,0.000020874317,7.819453e-7,0.0028209917,7.201619e-8,0.0014168293,0.1323863,0.00024420643,0.00033555357],"study_design_scores_gemma":[0.0003608751,0.00002132344,0.92547816,0.00006324487,0.000074037904,2.9218378e-7,0.02433318,0.0000050473345,0.00081113697,0.046052467,0.002609248,0.00019096839],"about_ca_topic_score_codex":0.0004929478,"about_ca_topic_score_gemma":0.0040717376,"teacher_disagreement_score":0.086333826,"about_ca_system_score_codex":0.00025004373,"about_ca_system_score_gemma":0.00029339822,"threshold_uncertainty_score":0.52606267},"labels":[],"label_agreement":null},{"id":"W4414927395","doi":"10.21203/rs.3.rs-7273201/v1","title":"Beyond the Typical Day: Evaluating Multi-Day Travel Behaviour Through a Core–Satellite Survey Approach in the Greater Toronto and Hamilton Area","year":2025,"lang":"en","type":"preprint","venue":"Research Square","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Travel survey; Sample (material); Survey data collection; Data collection; Travel behavior; Sample size determination; Survey methodology; Survey sampling","score_opus":0.32583544985612045,"score_gpt":0.4896413755094492,"score_spread":0.16380592565332874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414927395","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9758783,0.0042290133,0.00039578736,0.0006588956,0.00021839989,0.0036459803,0.00043260911,0.000040462804,0.014500582],"genre_scores_gemma":[0.9963522,0.0007845771,0.0003274412,0.00008038982,0.000178858,0.00045073353,0.0003108203,0.00001820935,0.0014967856],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9883446,0.007211698,0.0005296566,0.0010277877,0.0019671724,0.00091908243],"domain_scores_gemma":[0.99614924,0.0021207593,0.00010835018,0.00096868514,0.0005283802,0.00012456371],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.030452576,0.00031645494,0.0004632918,0.000077565885,0.0011624394,0.0005788003,0.0015965005,0.00054298504,0.00014567812],"category_scores_gemma":[0.0008639753,0.00018691913,0.00016465437,0.00054881163,0.0011727342,0.0002403286,0.00044304098,0.002055398,0.000003939494],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000093484196,0.00026742934,0.8633303,0.00019076065,0.000028571643,0.000010008277,0.1317171,0.000007221254,0.000004298383,0.0006748727,0.00020641473,0.0034695377],"study_design_scores_gemma":[0.00034948438,0.000042254604,0.9762067,0.00017318878,0.000029166622,2.0820052e-7,0.019946156,0.00078159414,0.000006288251,0.0020482787,0.00020481467,0.00021182281],"about_ca_topic_score_codex":0.11310052,"about_ca_topic_score_gemma":0.2152453,"teacher_disagreement_score":0.112876445,"about_ca_system_score_codex":0.00043017796,"about_ca_system_score_gemma":0.000828392,"threshold_uncertainty_score":0.9983531},"labels":[],"label_agreement":null},{"id":"W4415025384","doi":"10.1038/s41598-025-19319-6","title":"Place attachment and walkability and their associations with walking in urban neighbourhoods","year":2025,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Libin Cardiovascular Institute of Alberta; Alberta Children's Hospital; University of Calgary","funders":"Canadian Institutes of Health Research","keywords":"Walkability; Neighbourhood (mathematics); Place attachment; Place identity; Recreation; Built environment; Urban design","score_opus":0.011837808398759092,"score_gpt":0.28667150193313806,"score_spread":0.274833693534379,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415025384","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98647726,0.0003768506,0.00008660047,0.00085700717,0.00076443626,0.00034701638,0.000003176583,0.000045196037,0.011042483],"genre_scores_gemma":[0.99711186,0.0000048973443,0.00009971843,0.000030041832,0.000021655278,0.000014843343,0.000009422473,0.0000031860727,0.002704403],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984276,0.00010665356,0.00031873502,0.00060841744,0.00025950308,0.00027904613],"domain_scores_gemma":[0.9992653,0.000115271905,0.0001350944,0.00030892386,0.000086491,0.00008888704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003312029,0.00010021455,0.00017607617,0.00011381169,0.0008038682,0.0003718236,0.00008506699,0.000067662026,0.000034875375],"category_scores_gemma":[0.00014984237,0.000076983,0.000027385553,0.0006957139,0.0006299772,0.00031203608,0.00003978385,0.00011874312,2.9147165e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000041206476,0.000056720928,0.98816264,0.000013390909,0.0000073917063,0.000010829191,0.008234199,0.000001542037,0.00007360653,0.0004479635,0.00032853184,0.0026590433],"study_design_scores_gemma":[0.00013120506,0.0000078224475,0.9739997,0.00004476305,0.000011400984,7.1653176e-7,0.0021032398,0.000034646673,0.00021528872,0.014290879,0.009051491,0.00010889098],"about_ca_topic_score_codex":0.00153656,"about_ca_topic_score_gemma":0.01714096,"teacher_disagreement_score":0.0156044,"about_ca_system_score_codex":0.00014607188,"about_ca_system_score_gemma":0.0003358773,"threshold_uncertainty_score":0.95650584},"labels":[],"label_agreement":null},{"id":"W4415053658","doi":"10.1016/j.tranpol.2025.103852","title":"Untangling proximity and accessibility effects of transit on property prices","year":2025,"lang":"en","type":"article","venue":"Transport Policy","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Social Sciences and Humanities Research Council; Social Sciences and Humanities Research Council of Canada","keywords":"Property value; Property (philosophy); Yield (engineering); Transit (satellite); Measure (data warehouse); Distribution (mathematics); Margin (machine learning); Price premium","score_opus":0.01374261328558105,"score_gpt":0.3174652008531835,"score_spread":0.30372258756760245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415053658","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95787805,0.00023460556,0.0005479215,0.0016238666,0.00011333446,0.00088347844,0.000015404727,0.00011942657,0.038583927],"genre_scores_gemma":[0.9982439,0.000099443445,0.00013687722,0.00026762058,0.00010304011,0.00002900511,0.0000055338924,0.000009151056,0.001105424],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983792,0.000085112995,0.00040438527,0.00044362253,0.00031969513,0.0003680075],"domain_scores_gemma":[0.9992443,0.00014138251,0.00009734409,0.00029728486,0.00008794566,0.00013176975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057237776,0.00018555154,0.00037018268,0.00017556855,0.0003258218,0.000026319367,0.0003349206,0.00015968233,0.00003696979],"category_scores_gemma":[0.000086077205,0.00013221183,0.0001222466,0.0007915361,0.00059712125,0.0004041714,0.000007661539,0.00019492663,0.0000013022354],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024831042,0.00056067633,0.93662184,0.0017991087,0.00006274951,0.000010187647,0.010456612,0.000005683341,0.0009192636,0.026280165,0.000019584866,0.02301581],"study_design_scores_gemma":[0.00067805545,0.000066189365,0.98140734,0.00025139813,0.000086344735,5.186752e-8,0.00023275893,0.0000063383673,0.008954118,0.005738368,0.0023945037,0.00018454384],"about_ca_topic_score_codex":0.00983658,"about_ca_topic_score_gemma":0.004968383,"teacher_disagreement_score":0.04478548,"about_ca_system_score_codex":0.00007638559,"about_ca_system_score_gemma":0.00056541734,"threshold_uncertainty_score":0.99675703},"labels":[],"label_agreement":null},{"id":"W4415129242","doi":"10.1007/s12469-025-00400-2","title":"Evaluating the accessibility impact of integrated micromobility and transit systems: a case study of Calgary, Canada","year":2025,"lang":"en","type":"article","venue":"Public Transport","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Chiang Mai University","keywords":"Public transport; Service provider; Transit (satellite); Service (business); Universal design; Multimodal transport; Inclusion (mineral); Physical access; Psychological intervention","score_opus":0.05720927273151067,"score_gpt":0.3820731663339766,"score_spread":0.3248638936024659,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415129242","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966225,0.00044238375,0.0001845116,0.00015513047,0.0001652752,0.0015901816,0.00012837384,0.000033592147,0.0006780191],"genre_scores_gemma":[0.99980986,0.0000053698172,0.000018233199,0.00001155296,0.000012674821,0.00005048865,0.000015141122,0.0000067452625,0.000069935726],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99715394,0.0005641156,0.00093519676,0.00045574506,0.0005415332,0.00034947234],"domain_scores_gemma":[0.9982687,0.00027623068,0.00023429535,0.0005364299,0.00054464734,0.0001396638],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036132683,0.00019668424,0.00052993704,0.00008584268,0.00042199,0.00004705827,0.00047472428,0.00010019005,0.0000866236],"category_scores_gemma":[0.00013757158,0.00013000671,0.00014091005,0.0011160077,0.0005310419,0.00030180244,0.000012915624,0.00025163687,3.040305e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000083291314,0.0005505774,0.98563224,0.00017658222,0.00016173131,0.000043054202,0.00933655,0.000023246048,0.00010321102,0.000092824324,0.000009432073,0.0037872833],"study_design_scores_gemma":[0.0007415217,0.00015609046,0.9732877,0.000035667395,0.00017926047,0.000003837227,0.025083903,0.0002568962,0.000028436236,0.000046784353,0.000061253304,0.00011862776],"about_ca_topic_score_codex":0.9905067,"about_ca_topic_score_gemma":0.9864717,"teacher_disagreement_score":0.015747353,"about_ca_system_score_codex":0.00029900958,"about_ca_system_score_gemma":0.005831482,"threshold_uncertainty_score":0.99980456},"labels":[],"label_agreement":null},{"id":"W4415203595","doi":"10.3138/jccpe-2023-0027","title":"Cities Leading on Climate Action: A Comparison of Los Angeles’s and Boston’s Green New Deals","year":2025,"lang":"en","type":"article","venue":"Journal of city climate policy and economy","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Extant taxon; Climate change; Elite; Public policy; Climate policy; Inequality; Qualitative comparative analysis; Sustainable development","score_opus":0.07803225378852038,"score_gpt":0.3989847733097532,"score_spread":0.3209525195212328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415203595","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9470402,0.0004832352,0.00002618315,0.0027531618,0.00010672528,0.00008306733,0.000028522156,0.000008754909,0.04947017],"genre_scores_gemma":[0.99818426,0.00067216536,0.00007818577,0.00035757327,0.0003729617,7.066532e-7,7.859821e-7,0.000003610066,0.0003297494],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99895114,0.000055659202,0.0005292496,0.00011566722,0.00009275484,0.0002555278],"domain_scores_gemma":[0.99905753,0.0002278101,0.00043514677,0.00007301103,0.00006426332,0.00014224254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006709761,0.00009947245,0.00041608643,0.00022009277,0.00032213074,0.00009324741,0.00012570828,0.00008463723,0.000078735306],"category_scores_gemma":[0.000073915595,0.00009097056,0.000087496366,0.0001323604,0.00022193255,0.0004892597,0.000027654958,0.0001411568,7.943323e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016346901,0.000060001836,0.9673324,0.00025483122,0.00004828891,0.0000014663517,0.0035892718,0.0000044130093,0.000044406,0.01907877,0.0012312421,0.008191392],"study_design_scores_gemma":[0.0014224877,0.00033403622,0.8724611,0.00091204455,0.00020071019,0.0000058353653,0.010072089,0.00006722821,0.0019433005,0.03348055,0.07873865,0.00036197773],"about_ca_topic_score_codex":0.0021128403,"about_ca_topic_score_gemma":0.003907431,"teacher_disagreement_score":0.09487136,"about_ca_system_score_codex":0.000082417006,"about_ca_system_score_gemma":0.00021839338,"threshold_uncertainty_score":0.37096718},"labels":[],"label_agreement":null},{"id":"W4415219183","doi":"10.1016/j.wss.2025.100314","title":"Exploring the awareness of changes in outdoor mobility and the influence of the neighbourhood environment among people living with dementia in British Columbia, Canada","year":2025,"lang":"en","type":"article","venue":"Wellbeing Space and Society","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia; Simon Fraser University","funders":"Alzheimer Society Research Program; Mitacs; Alzheimer Society; Public Health Agency of Canada","keywords":"Neighbourhood (mathematics); Dementia; Experiential learning; Built environment; Independent living; Social environment","score_opus":0.007350444741885547,"score_gpt":0.19872725559090965,"score_spread":0.1913768108490241,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415219183","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99829715,0.0003386829,0.0000061169144,0.0008909443,0.000032788736,0.00033832353,0.0000040088694,0.0000030921758,0.00008888972],"genre_scores_gemma":[0.9991382,0.0006608487,0.000010241639,0.00006140729,0.000007844157,0.000040205243,1.952106e-7,0.0000027848632,0.000078270925],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991371,0.00014510962,0.00015957432,0.0001766866,0.0002089472,0.00017255716],"domain_scores_gemma":[0.9994014,0.00030935372,0.000090278554,0.00016013287,0.000018892904,0.000019927862],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010384738,0.000057264362,0.0001733959,0.000005136585,0.00040691573,0.00006362028,0.00019521485,0.000031295815,0.000006639477],"category_scores_gemma":[0.00005153273,0.000044072764,0.00003449108,0.0002496,0.0007507282,0.00013076066,0.00008089884,0.00013808152,4.9179434e-9],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000021900903,0.000020712,0.9738067,0.00006973496,0.000015931193,1.7998461e-7,0.025670117,0.00013725944,0.000012224361,0.000047743644,0.0000049406863,0.00021228481],"study_design_scores_gemma":[0.00024204965,0.0000037543978,0.96385145,0.00024242625,0.000025169289,2.9396345e-8,0.035386834,0.00005117709,0.000023832912,0.00010201381,0.000022884697,0.000048383325],"about_ca_topic_score_codex":0.9818589,"about_ca_topic_score_gemma":0.99920094,"teacher_disagreement_score":0.017342048,"about_ca_system_score_codex":0.000059332615,"about_ca_system_score_gemma":0.00021788206,"threshold_uncertainty_score":0.3129708},"labels":[],"label_agreement":null},{"id":"W4415224870","doi":"10.31224/5600","title":"Evolution of dedicated cycling infrastructure in three Canadian cities: 2009 to 2022","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"Canadian Institutes of Health Research","keywords":"Cycling; Critical infrastructure; Work (physics); Water infrastructure; Transport infrastructure; Transportation infrastructure","score_opus":0.014147357787190892,"score_gpt":0.28845997402424217,"score_spread":0.2743126162370513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415224870","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9168819,0.00033325457,0.0011916434,0.0011817942,0.0008153652,0.00065252924,0.0003260711,0.000052723837,0.078564726],"genre_scores_gemma":[0.9973448,0.0000211462,0.00050307886,0.00014199155,0.00011651963,0.000020058196,0.000042859705,0.0000043083396,0.0018052442],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984788,0.00006484672,0.00041128686,0.00037433073,0.00031361208,0.00035718],"domain_scores_gemma":[0.9992086,0.000041806514,0.00009812412,0.00028846756,0.00013750356,0.00022544082],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00059797516,0.00014184981,0.00029379298,0.00049505197,0.00014454844,0.000033348213,0.00061585684,0.00045639102,0.0016204569],"category_scores_gemma":[0.00015941539,0.00014556512,0.00008155337,0.0007597012,0.0001401589,0.000076697135,0.000095679505,0.00049468124,0.000003029288],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000074004456,0.00001048494,0.98989594,0.00007986155,0.000011237202,0.0000019370943,0.0035688803,0.00096245535,0.0000069758416,0.0029270113,0.0014797415,0.0010480811],"study_design_scores_gemma":[0.00008623813,0.0000051185752,0.9495043,0.0001816077,0.000014593258,9.5232195e-9,0.0021655126,0.00016543768,0.000019061234,0.04434359,0.0033367092,0.00017779626],"about_ca_topic_score_codex":0.9517827,"about_ca_topic_score_gemma":0.9961891,"teacher_disagreement_score":0.080462895,"about_ca_system_score_codex":0.0010081185,"about_ca_system_score_gemma":0.004820983,"threshold_uncertainty_score":0.9992922},"labels":[],"label_agreement":null},{"id":"W4415239677","doi":"10.3390/ijgi14100405","title":"The Potential Use of Electric Bicycles in the Historic Quarter of the Seaport City of Valparaíso, Chile, Through Participatory Mapping and Focus Groups Supported by AI Data Processing","year":2025,"lang":"en","type":"article","venue":"ISPRS International Journal of Geo-Information","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Agencia Nacional de Investigación y Desarrollo","keywords":"Quarter (Canadian coin); Modernization theory; Citizen journalism; Focus group; Public transport; Cultural heritage; Globalization; Latin Americans","score_opus":0.031970518781728394,"score_gpt":0.3204980544559232,"score_spread":0.2885275356741948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415239677","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9902526,0.00036565482,0.005825954,0.0025719083,0.0003948479,0.00018253888,0.000043474178,0.000003248754,0.00035975254],"genre_scores_gemma":[0.99960005,0.000119086835,0.000058211746,0.0001487484,0.000045043256,0.0000020922719,0.000014493863,0.0000014973456,0.000010772094],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99801743,0.00012832787,0.00091336615,0.0000617633,0.00075540587,0.000123694],"domain_scores_gemma":[0.99804795,0.00013828908,0.0010898657,0.00016907234,0.00053732906,0.000017485048],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015621826,0.00007137732,0.00015164181,0.00012706354,0.00018930751,0.000094845396,0.00085522124,0.000054200354,0.000010540044],"category_scores_gemma":[0.00025524633,0.000041393236,0.00007123788,0.00039783344,0.00021733434,0.00307249,0.000050152164,0.0001996818,1.2389384e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037630423,0.00030833305,0.9078098,0.00012377142,0.00024420963,0.0000020806747,0.035196744,0.00012614405,0.0011534183,0.0033095293,0.007242659,0.04410702],"study_design_scores_gemma":[0.00061811245,0.000034096476,0.9792043,0.00016800057,0.000082009305,0.0000034649881,0.0040337956,0.0016765738,0.0012072857,0.004009336,0.008882491,0.00008051351],"about_ca_topic_score_codex":0.0012780116,"about_ca_topic_score_gemma":0.00035856277,"teacher_disagreement_score":0.07139453,"about_ca_system_score_codex":0.000079293684,"about_ca_system_score_gemma":0.00035287326,"threshold_uncertainty_score":0.2227481},"labels":[],"label_agreement":null},{"id":"W4415258624","doi":"10.1016/j.scs.2025.106906","title":"Who gets to use the street? Evaluate the utilization and inclusiveness using crowdsourced videos and vision-language models","year":2025,"lang":"en","type":"article","venue":"Sustainable Cities and Society","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Pedestrian; Street network; Data collection; Equity (law); Construct (python library); Urban planning; Social equality; Public transport; Sustainable development","score_opus":0.02849238434726745,"score_gpt":0.3472891677411813,"score_spread":0.3187967833939138,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415258624","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99224734,0.0026028026,0.0022700855,0.001649166,0.000037451155,0.00056025386,0.000008468065,0.000025122112,0.0005992999],"genre_scores_gemma":[0.9949521,0.00069187203,0.00007297888,0.0008510819,0.000033057804,0.000014040914,0.0000025326171,0.000006311114,0.0033760252],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9989511,0.00015226482,0.00014424126,0.00023663216,0.00020945317,0.0003063278],"domain_scores_gemma":[0.9992885,0.00024255642,0.000034941975,0.0001581553,0.00021381244,0.00006202908],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0010872182,0.00011122387,0.00014219459,0.000021544,0.0030656497,0.0005160365,0.00013743267,0.000081858125,0.00000773586],"category_scores_gemma":[0.000098076605,0.000070577036,0.000048171645,0.00024124804,0.00063319854,0.00055005605,0.00021122288,0.00010234823,2.8595373e-8],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007628761,0.000044402168,0.10232589,0.00063862966,0.0001261155,0.000008843414,0.8019036,0.0014805291,0.00009715793,0.08158315,0.0011123306,0.010603086],"study_design_scores_gemma":[0.0003828113,0.000021655263,0.09025206,0.00008448502,0.00009417472,1.5219828e-7,0.85139775,0.026385868,0.000049799186,0.025745315,0.0054009864,0.00018493981],"about_ca_topic_score_codex":0.013401331,"about_ca_topic_score_gemma":0.0016339284,"teacher_disagreement_score":0.055837832,"about_ca_system_score_codex":0.000085785905,"about_ca_system_score_gemma":0.00018968286,"threshold_uncertainty_score":0.99823225},"labels":[],"label_agreement":null},{"id":"W4415268101","doi":"10.5539/jgg.v17n2p64","title":"Predicting Tourists&amp;#39; Accommodation Location Scores Using Spatial Machine Learning Techniques A Case Study of Middle Vancouver Island","year":2025,"lang":"","type":"article","venue":"Journal of Geography and Geology","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Feature selection; Geospatial analysis; Random forest; Metric (unit); Multilayer perceptron; Robustness (evolution); Hyperparameter; Analytics; Sample (material); Regression analysis; Elastic net regularization","score_opus":0.020715973771044633,"score_gpt":0.3016551490335931,"score_spread":0.28093917526254847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415268101","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98688084,0.0028897738,0.008811697,0.00007524531,0.00072988396,0.0003933727,0.00000526925,0.000013982777,0.000199912],"genre_scores_gemma":[0.9987586,0.0002780984,0.00061835884,0.000020588794,0.0002790176,0.0000027517867,0.00000238437,0.000006841771,0.000033362023],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997239,0.0006579626,0.0012164543,0.00028289476,0.00031710527,0.00028658405],"domain_scores_gemma":[0.997414,0.00027013663,0.0014831895,0.00015350393,0.000590526,0.00008862398],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001612739,0.00021169813,0.000603521,0.0007535144,0.0008113432,0.00006266025,0.00021646853,0.0002505758,0.000066889086],"category_scores_gemma":[0.0001880081,0.00019146074,0.00017926816,0.0009060556,0.0005402207,0.0005230765,0.00007758519,0.0006232732,5.1574695e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033700254,0.0007114974,0.979626,0.00015925936,0.00025213158,0.00010192193,0.009921197,0.0003212747,0.00016286835,0.000008414861,0.000007699776,0.008390732],"study_design_scores_gemma":[0.0033437079,0.0028299056,0.94798374,0.0008565486,0.0016930064,0.0002003022,0.035855837,0.0035364483,0.00038508055,0.002284674,0.0005791027,0.00045161974],"about_ca_topic_score_codex":0.054299187,"about_ca_topic_score_gemma":0.20206173,"teacher_disagreement_score":0.14776255,"about_ca_system_score_codex":0.000027558479,"about_ca_system_score_gemma":0.00021413853,"threshold_uncertainty_score":0.9519983},"labels":[],"label_agreement":null},{"id":"W4415348572","doi":"","title":"Causal Impacts of Protected Bike Lanes on Cycling Behavior with Demographic Disparities","year":2025,"lang":"en","type":"article","venue":"ArXiv.org","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cycling; Context (archaeology); TRIPS architecture; Census; Kilometer; Quarter (Canadian coin); Poison control","score_opus":0.028435929258378012,"score_gpt":0.3083882857399262,"score_spread":0.2799523564815482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415348572","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99718523,0.00010920308,0.000019570694,0.00038838622,0.00011718945,0.00040760176,0.000010080642,0.00009837602,0.0016643576],"genre_scores_gemma":[0.9993327,0.000019470019,0.00004593035,0.00007149357,0.000050715025,0.000043602664,0.000007564573,0.0000072821986,0.00042124404],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990115,0.00006840464,0.00020427837,0.00021864232,0.0002288804,0.00026826753],"domain_scores_gemma":[0.99948245,0.00008261599,0.000086829445,0.00019178758,0.00008766247,0.000068629684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024828914,0.0001125381,0.00018912088,0.00011709629,0.00029326766,0.000029267261,0.00019774158,0.00009317609,0.000049748687],"category_scores_gemma":[0.00007345619,0.0000865254,0.00006407741,0.00061106833,0.00038954103,0.00016276329,0.000012656462,0.00016454323,0.000003644444],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054283704,0.00013133453,0.997695,0.000045651403,0.00002002498,0.0000066637576,0.00057826046,0.0000011739049,0.0008349354,0.00039663946,0.000016982027,0.00021903182],"study_design_scores_gemma":[0.00023959944,0.0000648845,0.99600357,0.00012825019,0.000057511723,6.182769e-8,0.00038851678,9.672658e-7,0.0027255628,0.00015505918,0.00013451785,0.00010151555],"about_ca_topic_score_codex":0.009149232,"about_ca_topic_score_gemma":0.019463882,"teacher_disagreement_score":0.010314649,"about_ca_system_score_codex":0.000023977476,"about_ca_system_score_gemma":0.0001540368,"threshold_uncertainty_score":0.99842834},"labels":[],"label_agreement":null},{"id":"W4415436325","doi":"10.1080/15568318.2025.2570322","title":"Measuring and moving on the street: A scoping review of street space allocation studies","year":2025,"lang":"en","type":"review","venue":"International Journal of Sustainable Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Social Sciences and Humanities Research Council of Canada","keywords":"Space (punctuation); Urban space; Pedestrian; Urban planning; Key (lock); Resource allocation","score_opus":0.0772812775791205,"score_gpt":0.39892116594268845,"score_spread":0.32163988836356794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415436325","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0008761561,0.9965265,0.00017950218,0.000849739,0.0002854723,0.0009295129,0.000018046334,0.000008812387,0.00032628197],"genre_scores_gemma":[0.013013974,0.9864374,0.00006438129,0.00006650109,0.00016587882,0.000027380838,0.000023741852,0.000010606684,0.00019015511],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9971924,0.000252722,0.0012239164,0.00019210794,0.00095562823,0.00018324357],"domain_scores_gemma":[0.9952176,0.0008354316,0.0015841953,0.00012393342,0.0021887019,0.000050094095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023327875,0.00020365723,0.00087109284,0.00032545693,0.00018535311,0.00005140533,0.0005232466,0.000100942125,0.000027286145],"category_scores_gemma":[0.00097481196,0.00014366512,0.00033886824,0.0003945065,0.00017861415,0.00047167036,0.00000991936,0.00029602335,2.1424046e-7],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007748041,0.0002267619,0.0037261571,0.6021519,0.0018147649,0.00021195674,0.007599639,0.00004819793,6.38538e-7,0.07344654,0.00030285047,0.31039315],"study_design_scores_gemma":[0.00023125096,0.000055869634,0.0006138395,0.9554457,0.0011496949,7.437985e-7,0.013238401,3.8992863e-7,0.000010483985,0.0010734688,0.027965244,0.00021487959],"about_ca_topic_score_codex":0.00040519112,"about_ca_topic_score_gemma":0.0014564128,"teacher_disagreement_score":0.35329387,"about_ca_system_score_codex":0.00032615958,"about_ca_system_score_gemma":0.0016463982,"threshold_uncertainty_score":0.5858494},"labels":[],"label_agreement":null},{"id":"W4415449404","doi":"10.32891/jps.v10i1.1855","title":"Web-Based, Crowdsourced, First-Person Narratives of Young People's Daily Commutes as a New Method for Identifying Situations Impacting Their Subjective Wellbeing","year":2025,"lang":"","type":"article","venue":"The Journal of Public Space","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Fondation Botnar","keywords":"CONTEST; Narrative; Storytelling; Photo elicitation; Focus group; Narrative inquiry; Population; Citizen journalism","score_opus":0.04832989752910059,"score_gpt":0.35767158333295507,"score_spread":0.30934168580385446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415449404","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.60319227,0.0028202718,0.32163027,0.06839645,0.00091437873,0.0007681183,0.00002823393,0.000025338068,0.0022246446],"genre_scores_gemma":[0.9894314,0.00011730523,0.008896285,0.00014083764,0.00041898745,0.000007926809,0.0000031493178,0.000029393625,0.00095475523],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9954365,0.0015018634,0.0011643919,0.00032618103,0.00082352525,0.00074756116],"domain_scores_gemma":[0.9901486,0.0048894743,0.0026249154,0.00046882158,0.0014737546,0.000394441],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0117233815,0.00041384457,0.00093375874,0.0005631254,0.0027609174,0.0006722467,0.0015553676,0.00022773667,0.00023240387],"category_scores_gemma":[0.004426418,0.00030142293,0.00083091867,0.0024164028,0.00054958207,0.0018889962,0.00008484356,0.0008882176,0.0000013178769],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00078872096,0.0005128839,0.19332467,0.0004472384,0.0014451017,0.000002403604,0.7812798,0.0026634801,0.0108748255,0.0045542386,0.001573288,0.0025333208],"study_design_scores_gemma":[0.0039578346,0.00044593166,0.07633916,0.0015669868,0.0009482101,0.000011227766,0.883664,0.0034481022,0.0066016377,0.02117371,0.0013707263,0.000472448],"about_ca_topic_score_codex":0.00964843,"about_ca_topic_score_gemma":0.057437155,"teacher_disagreement_score":0.38623908,"about_ca_system_score_codex":0.0005963671,"about_ca_system_score_gemma":0.0063963966,"threshold_uncertainty_score":0.9999438},"labels":[],"label_agreement":null},{"id":"W4415450553","doi":"10.1016/j.jth.2025.102190","title":"Evaluating the impact of a School Streets intervention on personal vehicle use and air quality: Pilot studies at four suburban schools in Canada","year":2025,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"General Electric (Canada)","funders":"University of Toronto Mississauga","keywords":"Psychological intervention; Closing (real estate); Stakeholder; Intervention (counseling); Morning; Air pollution; Public transport","score_opus":0.21826020927362186,"score_gpt":0.47802174962252775,"score_spread":0.25976154034890586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415450553","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99241185,0.0018023548,0.000009505043,0.0052531613,0.0001597057,0.0002986389,0.000032591615,0.000004092067,0.000028115957],"genre_scores_gemma":[0.99922514,0.00030982544,0.000047395348,0.0002587011,0.000055422093,0.0000029738044,0.000001918445,0.0000052127793,0.00009338262],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99724334,0.0005297207,0.0010680015,0.000165383,0.0006976766,0.0002958618],"domain_scores_gemma":[0.9984276,0.00033366922,0.0006587909,0.00011704908,0.0002797594,0.00018309218],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0048714112,0.00012547884,0.00048344748,0.00011848593,0.00032090288,0.000018047105,0.00019442415,0.000033552802,0.000041090243],"category_scores_gemma":[0.0003213072,0.00008432189,0.0001866133,0.00033229604,0.00011215795,0.0003556118,0.0000083293135,0.0004376683,1.3586656e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00068691134,0.0001264799,0.99261105,0.00014499904,0.000106033076,0.000009043132,0.0031852815,0.0001453024,0.0000653935,0.000031905936,0.00020815781,0.0026794127],"study_design_scores_gemma":[0.0010426088,0.0006866554,0.990345,0.00071455725,0.000030946703,6.5553223e-7,0.0067915423,0.00003895116,0.000014768653,0.00024427328,0.000025489957,0.00006454238],"about_ca_topic_score_codex":0.89529306,"about_ca_topic_score_gemma":0.979419,"teacher_disagreement_score":0.08412595,"about_ca_system_score_codex":0.0021376396,"about_ca_system_score_gemma":0.0057667084,"threshold_uncertainty_score":0.99986964},"labels":[],"label_agreement":null},{"id":"W4415522773","doi":"10.1080/15568318.2025.2572818","title":"Modeling bicycle choice behavior and its potential health impact: Case of first/last mile access to suburban rail","year":2025,"lang":"en","type":"article","venue":"International Journal of Sustainable Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; Okanagan College","funders":"","keywords":"Mile; Vehicle miles of travel; Last mile (transportation); Mode choice; Public transport; Travel behavior; Poison control","score_opus":0.020854003361928677,"score_gpt":0.3768255049829781,"score_spread":0.35597150162104946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415522773","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.989759,0.000426038,0.0065309796,0.0024509,0.00032039886,0.0003650902,0.00004770214,0.000012076343,0.00008776839],"genre_scores_gemma":[0.99929583,0.00008186832,0.00013729693,0.00009573286,0.00013544777,0.00000946036,0.0000180807,0.00000809737,0.00021817071],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99833614,0.000046512585,0.0007186206,0.00016812787,0.00046933457,0.00026128173],"domain_scores_gemma":[0.99765307,0.000052384446,0.00031471803,0.0000665191,0.0017337017,0.000179597],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069557107,0.0001142007,0.00024210868,0.00045296396,0.0002661448,0.00013513384,0.00038012012,0.000068591835,0.00009131417],"category_scores_gemma":[0.00009017422,0.00011120663,0.00013608731,0.00040014702,0.00005389131,0.0013968376,0.000010202511,0.00015174314,2.4264426e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006361238,0.00060482905,0.9263803,0.00029359868,0.00022047258,0.0015012936,0.01797213,0.044695195,0.0002446749,0.0029676273,0.00024200599,0.0042417757],"study_design_scores_gemma":[0.0020785944,0.00020988712,0.97248065,0.00029682094,0.00019573157,0.00002868793,0.019028371,0.0022660743,0.00042314624,0.001689315,0.0010421815,0.00026053216],"about_ca_topic_score_codex":0.020364467,"about_ca_topic_score_gemma":0.019653767,"teacher_disagreement_score":0.046100385,"about_ca_system_score_codex":0.0003114376,"about_ca_system_score_gemma":0.0006852373,"threshold_uncertainty_score":0.998235},"labels":[],"label_agreement":null},{"id":"W4415526939","doi":"10.1016/j.landusepol.2025.107824","title":"Evaluating the spatial-temporal impact of urban nature on urban vitality in Vancouver: A social media and GPS data approach","year":2025,"lang":"en","type":"article","venue":"Land Use Policy","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Vitality; Natural (archaeology); Urban planning; Social media; Diversity (politics); Perception; Sustainable development","score_opus":0.09077987742220658,"score_gpt":0.4263488752230149,"score_spread":0.3355689978008083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415526939","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99634254,0.00014017792,0.00003796735,0.0004517266,0.00012690092,0.00027632297,0.00029584178,0.000021206963,0.002307316],"genre_scores_gemma":[0.9990848,0.000008628101,0.000093844086,0.000119691744,0.00046085086,0.000005973299,0.00008881149,0.0000057841444,0.00013161701],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985947,0.00026595633,0.00025351602,0.00031023656,0.00031067492,0.0002649383],"domain_scores_gemma":[0.9990982,0.000304555,0.00011637033,0.0003811037,0.000044346587,0.000055451816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012796147,0.00012255588,0.00024271684,0.000093892246,0.00027457334,0.00007803947,0.00047671588,0.00018444167,0.000013977629],"category_scores_gemma":[0.0008223108,0.0000784137,0.000066674795,0.000537001,0.00026471287,0.00027260548,0.00009721737,0.00033787967,2.7311586e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008624663,0.00012369353,0.9814386,0.00002447028,0.000024925068,6.1165264e-7,0.012721015,0.0000028801408,0.000006354098,0.0016219721,0.002149514,0.0017997666],"study_design_scores_gemma":[0.0005450476,0.000022467524,0.9955961,0.000021380443,0.000025046076,2.437042e-8,0.00040841656,0.0006022494,0.000003943428,0.002346852,0.00034042227,0.00008806317],"about_ca_topic_score_codex":0.14016196,"about_ca_topic_score_gemma":0.21102442,"teacher_disagreement_score":0.070862465,"about_ca_system_score_codex":0.000094506286,"about_ca_system_score_gemma":0.00061658386,"threshold_uncertainty_score":0.86556375},"labels":[],"label_agreement":null},{"id":"W4415535485","doi":"10.1016/j.urbmob.2025.100159","title":"Corrigendum to “The Hierarchy of Cycling Needs: Modeling the self-assessed propensity to bicycle” [Journal of Urban Mobility 7 (2025) 100130]","year":2025,"lang":"en","type":"erratum","venue":"Journal of Urban Mobility","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver Community College; University of British Columbia","funders":"Fundação para a Ciência e a Tecnologia","keywords":"Cycling; Hierarchy; Urban hierarchy; Utility theory","score_opus":0.041229844479159734,"score_gpt":0.3067027948850904,"score_spread":0.26547295040593066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415535485","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9313314,0.0044860686,0.00527692,0.006007504,0.04261485,0.003488655,0.00018042287,0.00007117468,0.0065429797],"genre_scores_gemma":[0.97998065,0.00029527146,0.000922263,0.000510901,0.0051767514,0.000025443382,0.000010192803,0.00005453428,0.013023983],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.98828775,0.0020922069,0.0046119783,0.0007628837,0.0031581859,0.001087023],"domain_scores_gemma":[0.9875615,0.00068431755,0.003782464,0.0017802834,0.005350788,0.00084065244],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.020330474,0.0007629119,0.0025011662,0.00079344184,0.0012015697,0.00036823264,0.004733198,0.0008326859,0.00020918711],"category_scores_gemma":[0.003144124,0.00047719243,0.0017210434,0.0029026992,0.00066567806,0.0008518519,0.00041290166,0.0042919926,0.0000065869676],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019403242,0.0038514887,0.2551534,0.0013361351,0.001209732,0.000072974835,0.03994771,0.0028509903,0.00025409504,0.00023901951,0.6902331,0.0029110499],"study_design_scores_gemma":[0.003190115,0.002616276,0.32567808,0.005001266,0.0042102356,0.000036536636,0.030352749,0.002804219,0.0006786334,0.0066654007,0.6160932,0.0026732828],"about_ca_topic_score_codex":0.0033965732,"about_ca_topic_score_gemma":0.0037478928,"teacher_disagreement_score":0.07413988,"about_ca_system_score_codex":0.0014148816,"about_ca_system_score_gemma":0.009297354,"threshold_uncertainty_score":0.99976796},"labels":[],"label_agreement":null},{"id":"W4415552413","doi":"10.1016/j.trip.2025.101702","title":"Surveying people with disabilities: Insights on methods and challenges","year":2025,"lang":"en","type":"article","venue":"Transportation Research Interdisciplinary Perspectives","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Institute on Disability, Independent Living, and Rehabilitation Research","keywords":"Data collection; Survey data collection; Scale (ratio); Compensation (psychology); Lived experience; Representation (politics); Key (lock); Qualitative property","score_opus":0.12515925907477354,"score_gpt":0.4928353110646831,"score_spread":0.36767605198990955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415552413","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93157566,0.0033688454,0.0009578423,0.01080177,0.00008356384,0.0005784751,0.000014262822,0.0001097097,0.0525099],"genre_scores_gemma":[0.99614924,0.0013911073,0.0007500671,0.000011680815,0.00006034018,0.00011843272,0.000011040928,0.000012976534,0.0014951123],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9971917,0.0009475525,0.00024423812,0.00066765014,0.0005396607,0.0004091885],"domain_scores_gemma":[0.99754417,0.0015987941,0.000039446415,0.00027514843,0.0004013605,0.00014106583],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0021069273,0.00016212804,0.00025836506,0.00036490583,0.0013322579,0.00010828257,0.00027854333,0.000099671444,0.00018018481],"category_scores_gemma":[0.00014957198,0.00012927812,0.00006615042,0.0008615478,0.0014464627,0.00047574192,0.000025478881,0.00042052893,0.0000043265036],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005759063,0.00038667145,0.10229688,0.0002227874,0.00008080788,0.000007183709,0.70503694,0.000012195171,0.000051781597,0.18321128,0.00007050771,0.008047058],"study_design_scores_gemma":[0.00022148665,0.00016751283,0.53227705,0.00012008615,0.000010068935,3.006572e-8,0.44715416,0.000011229577,0.00006633517,0.019037977,0.0008311577,0.000102897306],"about_ca_topic_score_codex":0.0012126772,"about_ca_topic_score_gemma":0.07778715,"teacher_disagreement_score":0.4299802,"about_ca_system_score_codex":0.00019941585,"about_ca_system_score_gemma":0.00022639538,"threshold_uncertainty_score":0.9999679},"labels":[],"label_agreement":null},{"id":"W4415586853","doi":"10.21083/crrf.v34i1.7785","title":"Providing Provisions in Uncertain Times: Benefits and Challenges of Partnerships Developing and Facilitating Recreation and Leisure Services for Rural Low-income Families During the COVID-19 Pandemic","year":2025,"lang":"","type":"article","venue":"Proceedings of the Canadian Rural Revitalization Foundation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Acadia University; Dalhousie University; University of New Brunswick","funders":"","keywords":"Recreation; Disadvantaged; Leisure studies; Rural area; Closure (psychology); Pandemic; Focus group","score_opus":0.06359165500459205,"score_gpt":0.3132204067164954,"score_spread":0.24962875171190338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415586853","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9816204,0.007133134,0.000018291066,0.009005977,0.000071763214,0.0019705144,0.000035514546,0.00001580968,0.00012864987],"genre_scores_gemma":[0.9919126,0.007692005,0.000112182504,0.000068260946,0.00002224411,0.00008267465,0.000019131387,0.000009983395,0.00008090496],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983584,0.00007539438,0.0006806254,0.000332284,0.0002489536,0.00030433913],"domain_scores_gemma":[0.9983969,0.00035382088,0.0005598545,0.00008421504,0.00046519187,0.00014005112],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0015285286,0.00021320267,0.00033910136,0.00028091946,0.0014555007,0.0002737563,0.00024741024,0.00017577734,0.000004659542],"category_scores_gemma":[0.0013372074,0.00016614354,0.000048842518,0.00078436185,0.0004939254,0.0011064704,0.00006327173,0.00012164531,7.367789e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003488122,0.000007771345,0.91181576,0.009048865,0.0000276938,2.4212834e-8,0.030062808,0.000039809645,0.00024269847,0.03803592,0.0000018593053,0.010681901],"study_design_scores_gemma":[0.0012627428,0.0000715185,0.8079705,0.0081586875,0.00020609779,0.0000021352243,0.15918577,0.0053750146,0.00022314531,0.016174078,0.00088911847,0.0004811725],"about_ca_topic_score_codex":0.025950972,"about_ca_topic_score_gemma":0.28270346,"teacher_disagreement_score":0.2567525,"about_ca_system_score_codex":0.0005482657,"about_ca_system_score_gemma":0.0005475888,"threshold_uncertainty_score":0.9998445},"labels":[],"label_agreement":null},{"id":"W4415595466","doi":"10.1016/j.retrec.2025.101661","title":"Analysis of the spatial range advantage of vehicle owners and its implications on vehicle ownership aspirations: Insights from India and takeaways for transportation equity","year":2025,"lang":"en","type":"article","venue":"Research in Transportation Economics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Equity (law); Car ownership; Public transport; Range (aeronautics); Context (archaeology); Travel behavior; Vehicle miles of travel; Survey data collection","score_opus":0.11843764944469513,"score_gpt":0.39916797723678127,"score_spread":0.2807303277920861,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415595466","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961834,0.00018519741,0.0003222365,0.0009942228,0.000042605163,0.0008133013,0.001037051,0.000008718494,0.00041327282],"genre_scores_gemma":[0.99923337,0.00027287897,0.000057406927,0.000042180403,0.000016128273,0.00008923505,0.00026063144,0.0000059764297,0.000022172055],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986445,0.00012993196,0.0005414689,0.00031494215,0.00017357238,0.00019559298],"domain_scores_gemma":[0.99872816,0.00065425766,0.0001749174,0.00018880815,0.00018830138,0.00006553599],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008171475,0.00008785365,0.00026461456,0.0004049896,0.00028195741,0.000029484856,0.00022118012,0.0001221492,0.000015990543],"category_scores_gemma":[0.000068318855,0.00007728344,0.000100507124,0.0009838849,0.00033154932,0.00030701174,0.0000037158914,0.00015437944,1.7830445e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017435393,0.00012646744,0.92348725,0.00008351912,0.00011404548,1.7944754e-7,0.007105156,0.0006752792,0.0010219672,0.062490042,0.0000024134756,0.0047193337],"study_design_scores_gemma":[0.0006863488,0.000032748147,0.9830653,0.00003499881,0.00014167369,1.1093455e-9,0.0016016137,0.0013378711,0.0019371518,0.010974713,0.00011721547,0.00007034397],"about_ca_topic_score_codex":0.003829058,"about_ca_topic_score_gemma":0.15557931,"teacher_disagreement_score":0.15175025,"about_ca_system_score_codex":0.000088104964,"about_ca_system_score_gemma":0.00027855305,"threshold_uncertainty_score":0.8598292},"labels":[],"label_agreement":null},{"id":"W4415617043","doi":"10.51250/jheal.v5i3.105","title":"Perceived Transit-Induced Gentrification, Walkability and Crime: An Examination of the Purple Line Light Rail Transit in Prince George’s County, Maryland","year":2025,"lang":"en","type":"article","venue":"Journal of Healthy Eating and Active Living","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Walkability; Pedestrian; Built environment; Perception; Anticipation (artificial intelligence); Sample (material); Transit (satellite); Purchasing","score_opus":0.019742144968625832,"score_gpt":0.3155538529388754,"score_spread":0.2958117079702496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415617043","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952215,0.0003147651,0.0002563349,0.0034265346,0.000108886394,0.00025662867,0.000004881416,0.000005840403,0.0004046536],"genre_scores_gemma":[0.9994992,0.00014831965,0.00013026377,0.00009173629,0.00006964793,0.0000021684439,6.57571e-7,0.000003734393,0.00005426283],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99834317,0.0005379602,0.0005300364,0.00017329311,0.00024940865,0.00016610666],"domain_scores_gemma":[0.9989348,0.0003004131,0.0003403555,0.00009912975,0.0002493229,0.00007595758],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002526886,0.00008664751,0.00024844386,0.00009588146,0.00042713442,0.000041578787,0.00014187873,0.000082614635,0.000010957244],"category_scores_gemma":[0.0003472795,0.00006535805,0.000045116984,0.0002770458,0.0001180286,0.0004724855,0.000008704509,0.00029228616,2.0714012e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014902584,0.0003379051,0.8733365,0.00029269847,0.000020919771,0.0000011657066,0.07229406,0.000012628038,0.016101645,0.00018950476,0.000004423086,0.03725953],"study_design_scores_gemma":[0.00033775732,0.000088560155,0.9905168,0.00032477156,0.000025643394,7.289638e-7,0.0073030293,0.00011162024,0.0008497437,0.0003112662,0.00007273792,0.000057373054],"about_ca_topic_score_codex":0.0012606382,"about_ca_topic_score_gemma":0.0032880846,"teacher_disagreement_score":0.11718027,"about_ca_system_score_codex":0.000111595495,"about_ca_system_score_gemma":0.00032422302,"threshold_uncertainty_score":0.32852158},"labels":[],"label_agreement":null},{"id":"W4415635482","doi":"10.29173/bcelnfe680","title":"A Comparative Analysis of Transportation Systems in Kamloops and Vancouver: The effects on the environment and sustainable living","year":2025,"lang":"","type":"article","venue":"Future Earth A Student Journal on Sustainability and Environment","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Sustainable transport; Cycling; Public transport; Neighbourhood (mathematics); Government (linguistics); Walkability; Sustainable development; Sustainability","score_opus":0.005159939693479296,"score_gpt":0.249041797272227,"score_spread":0.2438818575787477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415635482","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98703086,0.006853395,0.00011205099,0.003380304,0.00026748783,0.0020968197,0.000013937196,0.00000427389,0.00024085646],"genre_scores_gemma":[0.99310464,0.0058098324,0.0000058113246,0.00016539598,0.0000956461,0.000071961455,0.0000021070794,0.000005961796,0.0007386571],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99534875,0.0016334578,0.00087390986,0.00063823134,0.0008865575,0.0006191049],"domain_scores_gemma":[0.9971599,0.001776717,0.0004408847,0.00037867975,0.00006155514,0.0001822578],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0044749393,0.00039615206,0.0008688163,0.00028315297,0.0015897851,0.00026739418,0.00029800678,0.00018116896,0.000087965505],"category_scores_gemma":[0.00007665853,0.00024184953,0.00020693804,0.00065038353,0.0010070691,0.00025622212,0.000082698534,0.0008297216,3.3750703e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003182969,0.00090581825,0.8918866,0.000608166,0.0010572965,0.000038665763,0.086967,0.0057178414,0.000005665922,0.009151418,0.0000523354,0.0032909112],"study_design_scores_gemma":[0.0004880318,0.0004758514,0.77720755,0.00015545066,0.00094854017,1.6767027e-7,0.21250202,0.00018253489,0.000008271497,0.0010271341,0.006837847,0.00016661703],"about_ca_topic_score_codex":0.000648348,"about_ca_topic_score_gemma":0.0018477902,"teacher_disagreement_score":0.12553503,"about_ca_system_score_codex":0.00051939307,"about_ca_system_score_gemma":0.00013353737,"threshold_uncertainty_score":0.99971},"labels":[],"label_agreement":null},{"id":"W4415665335","doi":"10.3138/jccpe-2024-0041","title":"Planning Capacity and Delegated Authority for Decarbonizing Metropolitan Regional Transportation: A Comparison of California and Quebec","year":2025,"lang":"en","type":"article","venue":"Journal of city climate policy and economy","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"York University; Université du Québec à Montréal","funders":"","keywords":"Metropolitan area; Government (linguistics); Transportation planning; Land use; Land-use planning; Local government; Regional planning; Corporate governance","score_opus":0.0691261070505005,"score_gpt":0.3776296504479643,"score_spread":0.30850354339746383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415665335","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950527,0.00063042453,0.00066301954,0.002081746,0.000042869815,0.00011761445,0.00006487442,0.000006455465,0.001340317],"genre_scores_gemma":[0.99883217,0.00008319602,0.0008223834,0.00010891246,0.00012211486,0.0000018245115,0.0000039907054,0.000002881246,0.000022542808],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99902177,0.000047090234,0.00054036995,0.00011897609,0.00007235934,0.0001994062],"domain_scores_gemma":[0.9991003,0.00023738864,0.00035691104,0.00004421701,0.00013058493,0.00013054951],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079279457,0.000088211615,0.00037184125,0.0001548052,0.00035598633,0.00006536941,0.0000739371,0.00008938573,0.0000056663503],"category_scores_gemma":[0.00007993289,0.00007612942,0.00006885691,0.00012644692,0.00036519737,0.0003401449,0.000005854022,0.00013257105,2.6317812e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012776557,0.00003983006,0.9552031,0.00019424979,0.000052231953,6.089481e-7,0.0042847726,0.000004024653,0.000027245955,0.039193504,0.00005822251,0.0008144438],"study_design_scores_gemma":[0.001436083,0.000102463106,0.93001086,0.00022836344,0.00019440934,0.0000019428467,0.009265445,0.00044996734,0.00038064658,0.040217925,0.017518908,0.00019299376],"about_ca_topic_score_codex":0.017490432,"about_ca_topic_score_gemma":0.025813822,"teacher_disagreement_score":0.025192244,"about_ca_system_score_codex":0.00010520143,"about_ca_system_score_gemma":0.00023460547,"threshold_uncertainty_score":0.99196255},"labels":[],"label_agreement":null},{"id":"W4415684890","doi":"10.1155/atr/8794166","title":"Comparative Insights Into E‐Scooter Usage Prediction Through Machine Learning and Deep Learning Techniques","year":2025,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Yildiz Teknik Üniversitesi","keywords":"Deep learning; Boosting (machine learning); Artificial neural network; Plan (archaeology); Gradient boosting; Mean squared error; Investment (military)","score_opus":0.012961793750273072,"score_gpt":0.32499487929905163,"score_spread":0.31203308554877857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415684890","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95492005,0.00248755,0.040140517,0.00020310032,0.00020450784,0.00017669157,0.0000012152003,0.000060860024,0.0018055284],"genre_scores_gemma":[0.98897296,0.0015986129,0.009104561,0.000032758893,0.0000843917,0.0000043131968,0.000019606954,0.000005535183,0.00017725953],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988849,0.00010690001,0.00047111633,0.00015101685,0.0002599339,0.00012613297],"domain_scores_gemma":[0.9992351,0.00009260541,0.00034361973,0.000039066705,0.00023854894,0.000051060415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032504523,0.00010727855,0.00025244898,0.00012195394,0.00046432638,0.0000391587,0.00008599886,0.00008563795,0.000025474652],"category_scores_gemma":[0.0000351292,0.000095165975,0.00007184496,0.0003165999,0.00015500301,0.0012815675,0.0000017953629,0.00043380505,3.3328723e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005349683,0.00015912244,0.7354484,0.00013275135,0.00011664777,0.000024583802,0.2014331,0.0034595334,0.014088176,0.0030457743,0.000009059891,0.041547872],"study_design_scores_gemma":[0.0010963478,0.0003630399,0.87502444,0.00036924076,0.00017327092,5.9809804e-7,0.01844466,0.00010493361,0.010603227,0.015962154,0.07763685,0.00022121021],"about_ca_topic_score_codex":0.00017810363,"about_ca_topic_score_gemma":0.0030385861,"teacher_disagreement_score":0.18298845,"about_ca_system_score_codex":0.00006968912,"about_ca_system_score_gemma":0.00006563021,"threshold_uncertainty_score":0.3880756},"labels":[],"label_agreement":null},{"id":"W4415711326","doi":"10.1016/j.jth.2025.102197","title":"Using machine learning to predict child active transportation prevalence","year":2025,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Alberta Children's Hospital; Institut National de la Recherche Scientifique; University of Calgary","funders":"Alberta Children's Hospital Research Institute; Canadian Institutes of Health Research; Alberta Innovates","keywords":"Catchment area; Population; Unit (ring theory); Predictive modelling; Decision tree; Random forest","score_opus":0.029217964833601583,"score_gpt":0.36111526745522715,"score_spread":0.3318973026216256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415711326","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9791231,0.00140092,0.01136695,0.005577692,0.00058380543,0.00046631644,0.000064834654,0.00004589533,0.0013704507],"genre_scores_gemma":[0.99645203,0.0006748951,0.0017417667,0.00057772786,0.000206843,0.0000023057412,0.0000115486755,0.000011655454,0.0003212113],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976417,0.0001735155,0.0009283302,0.00023297702,0.0006163458,0.00040716716],"domain_scores_gemma":[0.9987204,0.000056498062,0.0005057998,0.00011746347,0.00025078238,0.00034907262],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016860275,0.00015302011,0.00043264127,0.00026337765,0.000711061,0.00002271168,0.00033962156,0.0000974725,0.00014363251],"category_scores_gemma":[0.000043767694,0.00014280762,0.00021758646,0.0007143405,0.00010469525,0.00053943746,0.0000018644414,0.0006072185,0.000001049813],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000357584,0.00018154399,0.9731062,0.00033328173,0.000056463792,0.000019972864,0.018217862,0.0011296368,0.0000735241,0.00030800098,0.000039813807,0.0061761374],"study_design_scores_gemma":[0.0005810983,0.00020430495,0.9797314,0.00078188645,0.000113979375,0.0000013197811,0.0014754137,0.000050935858,0.00017874649,0.00024323096,0.01649829,0.00013942212],"about_ca_topic_score_codex":0.003990447,"about_ca_topic_score_gemma":0.011375165,"teacher_disagreement_score":0.01732891,"about_ca_system_score_codex":0.00030367717,"about_ca_system_score_gemma":0.0013889396,"threshold_uncertainty_score":0.6347609},"labels":[],"label_agreement":null},{"id":"W4415718370","doi":"10.1016/j.latran.2025.100046","title":"Practising transport justice: Theory – practice gaps in three Latin American metropolises","year":2025,"lang":"en","type":"article","venue":"Latin American Transport Studies","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Centro de Desarrollo Urbano Sustentable","keywords":"Latin Americans; Economic Justice; Interview; Key (lock); Inequality","score_opus":0.03261868924699478,"score_gpt":0.38063103210507154,"score_spread":0.34801234285807675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415718370","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9148911,0.0023562931,0.0028095078,0.0088971965,0.00064435473,0.00096616347,0.00007256928,0.00042146342,0.06894134],"genre_scores_gemma":[0.98828375,0.0023690304,0.0056914645,0.0014613224,0.00021535542,0.000112246176,0.000026993997,0.000044966313,0.0017948461],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9954181,0.00049264636,0.0011560508,0.0009970863,0.00087358407,0.0010625526],"domain_scores_gemma":[0.9957464,0.0023478414,0.00077405875,0.00055805047,0.00037980202,0.0001938512],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0020395922,0.0005256571,0.0013128391,0.00042981224,0.0011458922,0.000047607497,0.0005991967,0.00010117737,0.00013877416],"category_scores_gemma":[0.0011361782,0.0005004082,0.00029585243,0.003916049,0.0048642536,0.0008063983,0.000027237871,0.0007083584,0.000010625519],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00049478095,0.00041166425,0.9369458,0.00017768932,0.0004024738,0.00012050067,0.024025641,0.00006404876,0.00003130691,0.015245014,0.000116592106,0.021964474],"study_design_scores_gemma":[0.00052439736,0.000090166825,0.845093,0.00018117802,0.00088361587,1.8653294e-7,0.13137896,0.000004499666,0.000059881204,0.0035209067,0.017761305,0.0005018807],"about_ca_topic_score_codex":0.047130927,"about_ca_topic_score_gemma":0.09987775,"teacher_disagreement_score":0.10735332,"about_ca_system_score_codex":0.0003873801,"about_ca_system_score_gemma":0.00060492,"threshold_uncertainty_score":0.9997448},"labels":[],"label_agreement":null},{"id":"W4415828723","doi":"10.1016/j.trd.2025.105085","title":"Transportation-induced gentrification: new perspectives and evidence","year":2025,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Perspective (graphical)","score_opus":0.10429389946989853,"score_gpt":0.38558875084821387,"score_spread":0.28129485137831534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415828723","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9806243,0.006530765,0.00196622,0.008361999,0.00010182059,0.0010497716,0.000037623933,0.00009678039,0.0012307062],"genre_scores_gemma":[0.98154026,0.014066455,0.0003926512,0.00006888901,0.00011383055,0.000111959765,0.000084347834,0.000015901482,0.0036057255],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969801,0.00015322238,0.0005544493,0.0008262846,0.0009083802,0.00057757704],"domain_scores_gemma":[0.9988503,0.00023455384,0.000075904136,0.0003060683,0.00010309181,0.00043012333],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013324013,0.00023234672,0.00029210604,0.00023468133,0.0010507184,0.000076144,0.0002466369,0.00019424218,0.0008348771],"category_scores_gemma":[0.000023133964,0.0002407631,0.000094946816,0.00053539826,0.0008844609,0.0006653128,0.0000021087467,0.0003991201,0.0000145428785],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024851246,0.00024180238,0.9120742,0.00020380142,0.00008978174,0.0000255692,0.04489652,0.000030441877,0.0008552566,0.031199597,0.00048588906,0.009648644],"study_design_scores_gemma":[0.0006099164,0.00005800814,0.94159657,0.0001532946,0.00009273322,5.089906e-8,0.0095377825,0.0000057647508,0.00033243443,0.002373693,0.04500849,0.0002312928],"about_ca_topic_score_codex":0.0067061586,"about_ca_topic_score_gemma":0.011525555,"teacher_disagreement_score":0.044522602,"about_ca_system_score_codex":0.00010807208,"about_ca_system_score_gemma":0.00040423675,"threshold_uncertainty_score":0.99990827},"labels":[],"label_agreement":null},{"id":"W4415897500","doi":"10.1016/j.ufug.2025.129165","title":"Assessment of the 15-minute park accessibility accounting for fine-grained 3D pedestrian network and subjective quality perception among the public housing residents","year":2025,"lang":"en","type":"article","venue":"Urban forestry & urban greening","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Basic and Applied Basic Research Foundation of Guangdong Province; Chinese University of Hong Kong; Research Grants Council, University Grants Committee; National Natural Science Foundation of China; Guangdong Science and Technology Department; Chinese University of Hong Kong, Shenzhen","keywords":"Pedestrian; Bivariate analysis; Geocoding; Walkability; Perception; Chai; Public park; Land use","score_opus":0.03268920722228995,"score_gpt":0.33706051351927074,"score_spread":0.3043713062969808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415897500","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9905288,0.0003058868,0.003810687,0.0009655962,0.0006298327,0.0015103817,0.000033430726,0.00010309915,0.002112239],"genre_scores_gemma":[0.99747676,0.000007824395,0.0009116482,0.00011045394,0.0006527964,0.000093151015,0.000025888912,0.00002378161,0.0006977078],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99603105,0.00075659814,0.0009471311,0.0007570041,0.0007117053,0.00079651666],"domain_scores_gemma":[0.9969011,0.0010315019,0.00081075524,0.00075737166,0.0003741262,0.00012514909],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0050117467,0.00032060986,0.00048961124,0.000096228025,0.003192282,0.00053053856,0.0010146293,0.0002669944,0.000037003476],"category_scores_gemma":[0.0010656869,0.00022898497,0.00032170792,0.0011622718,0.0012794198,0.0010201399,0.00025754326,0.00053790025,2.582228e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000574078,0.00005203145,0.99282277,0.0001258391,0.000069662085,6.019944e-7,0.002009211,0.000027208165,0.000036461814,0.0018861701,0.00085100136,0.0020616539],"study_design_scores_gemma":[0.0006009068,0.000025295882,0.9902845,0.0002203185,0.0001417936,1.2279115e-7,0.002144177,0.0010535271,0.000013730675,0.0048299236,0.00045423748,0.00023144524],"about_ca_topic_score_codex":0.00790905,"about_ca_topic_score_gemma":0.041280393,"teacher_disagreement_score":0.033371344,"about_ca_system_score_codex":0.00030675688,"about_ca_system_score_gemma":0.00070362526,"threshold_uncertainty_score":0.99869734},"labels":[],"label_agreement":null},{"id":"W4415908485","doi":"10.3390/smartcities8060185","title":"Pedal Power: Operational Models, Opportunities, and Obstacles of Bike Lending in North America","year":2025,"lang":"en","type":"article","venue":"Smart Cities","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"U.S. Department of Transportation","keywords":"Interactive kiosk; Service (business); Identification (biology); Focus group; Cycling; Bike sharing","score_opus":0.05274655037856301,"score_gpt":0.2906978719628328,"score_spread":0.2379513215842698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415908485","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9558607,0.00069259387,0.00012898017,0.0008205295,0.00013956182,0.000092948045,0.00006122297,0.000023163417,0.042180344],"genre_scores_gemma":[0.9969685,0.0003417763,0.00013585012,0.0001502538,0.00002360832,0.000008071604,0.000026113072,0.0000030342503,0.0023428015],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999271,0.00005132211,0.00021175857,0.0001373411,0.00017035687,0.00015826224],"domain_scores_gemma":[0.9997169,0.00007629299,0.000039705672,0.00007606272,0.000054298063,0.000036763307],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017409681,0.00006957966,0.00014831747,0.00011812831,0.00019994247,0.000043935568,0.00011493359,0.000038427428,0.00011604116],"category_scores_gemma":[0.000023516213,0.00006979023,0.00002901696,0.00020132188,0.0005089023,0.00038702326,0.000024460214,0.00006752908,3.5465413e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015007947,0.00003269575,0.9189793,0.000032745447,0.000010616416,0.0000027554452,0.014637664,0.000039271432,0.000007042028,0.06401938,0.0002918629,0.0019316598],"study_design_scores_gemma":[0.00043991744,0.000040181407,0.8353213,0.0000870339,0.000021291959,1.14806035e-7,0.09939724,0.00043223836,0.00005291688,0.016008314,0.047923926,0.00027550495],"about_ca_topic_score_codex":0.0062337415,"about_ca_topic_score_gemma":0.028884962,"teacher_disagreement_score":0.08475958,"about_ca_system_score_codex":0.00003374219,"about_ca_system_score_gemma":0.00034690427,"threshold_uncertainty_score":0.98883533},"labels":[],"label_agreement":null},{"id":"W4415946115","doi":"10.1016/j.jth.2025.102203","title":"“With the free bus, you didn't have to worry”: Mental wellbeing impacts of a free intercity transportation service in Canada","year":2025,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Regina; University of Alberta; Saskatchewan Health; Saskatchewan Science Centre; University of Saskatchewan","funders":"Saskatchewan Health Research Foundation; University of Saskatchewan","keywords":"Mental health; Government (linguistics); Thematic analysis; Public transport; Indigenous; Social exclusion; Public health; Abandonment (legal); Service (business); Poison control","score_opus":0.012182397105608613,"score_gpt":0.2881261192922546,"score_spread":0.27594372218664603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415946115","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9487022,0.00036807786,0.0006025924,0.049095575,0.00030102205,0.00046189193,0.00015375347,0.000007212158,0.00030765784],"genre_scores_gemma":[0.9969935,0.00011479887,0.00037943467,0.0023742993,0.000065481276,0.0000039253523,0.000011724565,0.000010052558,0.00004680474],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99737203,0.00012052697,0.0010574696,0.0001987039,0.0008042924,0.00044697983],"domain_scores_gemma":[0.9985232,0.00008809093,0.0005285475,0.00030594712,0.00025120596,0.0003030312],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015672136,0.00017012963,0.00052396784,0.00017105984,0.00024286506,0.000017800425,0.00090806,0.000062408144,0.000058978167],"category_scores_gemma":[0.000023177496,0.00011956769,0.00011551242,0.00088015007,0.0000840138,0.0003492949,0.0000057475418,0.00044842987,1.3430706e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005126901,0.00012089416,0.9644499,0.00021187555,0.00004563232,0.000032872933,0.032152526,0.00016140929,0.000055407894,0.00013177228,0.0011330094,0.0009920222],"study_design_scores_gemma":[0.0010351153,0.00010918946,0.9814296,0.0006124703,0.000047232006,7.9684844e-7,0.013345222,0.00000639569,0.00013953466,0.00025980323,0.0029053316,0.000109342705],"about_ca_topic_score_codex":0.9535243,"about_ca_topic_score_gemma":0.99956685,"teacher_disagreement_score":0.04829126,"about_ca_system_score_codex":0.0009561657,"about_ca_system_score_gemma":0.0073396494,"threshold_uncertainty_score":0.9982878},"labels":[],"label_agreement":null},{"id":"W4415966697","doi":"10.1186/s12982-025-01070-y","title":"The examination of the spatial and contextual disparities of determinant factors of adult obesity among communities in Chicago","year":2025,"lang":"en","type":"article","venue":"Discover Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Red River College","funders":"Argonne National Laboratory; Chicago State University; California Department of Public Health; U.S. Children's Bureau; U.S. Department of Energy","keywords":"Obesity; Public health; Psychological intervention; Unemployment; White (mutation); Public policy; Behavioral Risk Factor Surveillance System; Public health policy","score_opus":0.027708994855971822,"score_gpt":0.30193505454045283,"score_spread":0.274226059684481,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415966697","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99714947,0.00012916021,0.00004629981,0.0013471112,0.000100762605,0.0002692197,0.00006454479,0.0000037201537,0.00088969024],"genre_scores_gemma":[0.9997131,0.00013932434,0.0000016610246,0.00004255989,0.0000063457164,0.000005064496,0.000008659871,0.0000017943993,0.00008148831],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985764,0.00057091896,0.00037827075,0.00007199857,0.00022752403,0.00017486044],"domain_scores_gemma":[0.99902916,0.00040960623,0.00023804021,0.00018776467,0.00010299382,0.00003243486],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012856456,0.00005846109,0.00019840618,0.000047154695,0.0003015027,0.000027616334,0.00029251486,0.000045337427,0.0000055474998],"category_scores_gemma":[0.0002685467,0.00003415166,0.000042045136,0.0002196602,0.0014895671,0.00026296117,0.0000546174,0.00011670227,1.1081515e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004691689,0.00007974847,0.9462982,0.00009737659,0.000004832636,1.9491937e-8,0.029358832,1.5679078e-7,0.0000017297086,0.018215224,0.000005412651,0.005933822],"study_design_scores_gemma":[0.00014282216,0.00001882804,0.96345925,0.00007795196,0.0000027498181,5.6030696e-9,0.03550083,0.00002512486,0.00009010544,0.000542333,0.00011209641,0.000027910522],"about_ca_topic_score_codex":0.2828429,"about_ca_topic_score_gemma":0.6170315,"teacher_disagreement_score":0.33418864,"about_ca_system_score_codex":0.00004892426,"about_ca_system_score_gemma":0.00072841183,"threshold_uncertainty_score":0.7219327},"labels":[],"label_agreement":null},{"id":"W4416015119","doi":"10.1139/cjce-2025-0172","title":"Integrated spatial economic and travel demand modeling framework for transportation infrastructure impact assessment","year":2025,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Government of Alberta","funders":"","keywords":"Economic impact analysis; Productivity; Investment (military); Land use; Supply and demand; Transportation infrastructure; Economic model; Land-use planning; Economic evaluation","score_opus":0.008667030435782486,"score_gpt":0.2708868718866779,"score_spread":0.26221984145089544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416015119","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45607796,0.00019987143,0.54307485,0.00012478036,0.00031546646,0.00007503204,0.000032835982,0.000003828706,0.00009534351],"genre_scores_gemma":[0.9971828,0.000017640548,0.0026114713,0.000016679169,0.00014622383,0.00000197371,0.000009099554,0.0000069489474,0.0000071493496],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99938756,0.000010243789,0.00026244638,0.000083252635,0.000056729226,0.00019978562],"domain_scores_gemma":[0.99950737,0.000054350607,0.00006382073,0.00004398428,0.00007472885,0.00025574415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030522596,0.00008719456,0.00017501503,0.00018245963,0.00013873816,0.000083219915,0.00010816327,0.0001024497,0.000075351636],"category_scores_gemma":[0.000051479376,0.00008287749,0.0000821694,0.00008917858,0.00003093211,0.0002076283,5.5645074e-7,0.00020810241,5.036086e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036254165,0.000007228498,0.3265259,0.000115777184,0.00019495077,0.000013958043,0.0072026937,0.6444202,0.00011118248,0.015663197,0.00024123312,0.0054674167],"study_design_scores_gemma":[0.0008199951,0.000075519696,0.65004903,0.00049984804,0.0001623169,0.0000014825332,0.0018219968,0.31691393,0.000042417385,0.027052496,0.0022411211,0.0003198303],"about_ca_topic_score_codex":0.010636832,"about_ca_topic_score_gemma":0.55449677,"teacher_disagreement_score":0.5438599,"about_ca_system_score_codex":0.00034132815,"about_ca_system_score_gemma":0.0019022368,"threshold_uncertainty_score":0.9959514},"labels":[],"label_agreement":null},{"id":"W4416015762","doi":"10.1016/j.jtrangeo.2025.104475","title":"Calculated and perceived accessibility: A path analysis to evaluate satisfaction with access to green spaces","year":2025,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal","funders":"Institut de Valorisation des Données; Mitacs","keywords":"Perception; Land use; Quality (philosophy); Park and ride; Survey data collection; Path analysis (statistics); Questionnaire; Human factors and ergonomics","score_opus":0.016867892948870904,"score_gpt":0.3257512223304429,"score_spread":0.308883329381572,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416015762","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9915116,0.0001637043,0.0038096188,0.0033692555,0.0001399637,0.0004734805,0.00002322994,0.000036238198,0.00047294408],"genre_scores_gemma":[0.99840844,0.00008046186,0.0008835655,0.00045625152,0.00006284346,0.000009897609,0.0000051874354,0.000008767432,0.00008460932],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976083,0.00014259417,0.00066832796,0.00041089347,0.00080968055,0.00036018735],"domain_scores_gemma":[0.9983307,0.00006306102,0.00027377566,0.0002499737,0.00064408476,0.00043836833],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014019645,0.00021641779,0.0006267065,0.0014512666,0.00039626614,0.00023287225,0.00047087722,0.000118220945,0.00016598399],"category_scores_gemma":[0.000026677188,0.00016402082,0.0003899973,0.0049616597,0.00020049486,0.00094932975,0.000016145952,0.00024872628,7.1150674e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004959697,0.00007843547,0.9889408,0.000033274184,0.00096963724,0.000026219506,0.0034517474,0.00029318308,0.00012314974,0.000012239252,0.00003077628,0.0055445945],"study_design_scores_gemma":[0.0005325249,0.00014171014,0.9949725,0.000103685,0.0021340514,5.024823e-7,0.0007720724,0.000014224011,0.000028068582,0.00035769568,0.0007488431,0.00019407568],"about_ca_topic_score_codex":0.019171713,"about_ca_topic_score_gemma":0.094312236,"teacher_disagreement_score":0.07514052,"about_ca_system_score_codex":0.00006362564,"about_ca_system_score_gemma":0.00027477118,"threshold_uncertainty_score":0.9873597},"labels":[],"label_agreement":null},{"id":"W4416084172","doi":"10.1016/j.tra.2025.104701","title":"Bike-sharing ridership prediction for network expansion using graph neural networks","year":2025,"lang":"en","type":"article","venue":"Transportation Research Part A Policy and Practice","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"York University","funders":"","keywords":"Artificial neural network; Benchmark (surveying); Graph; Aggregate (composite); Mean squared error; Node (physics); Predictive modelling; Public transport","score_opus":0.21629792183698526,"score_gpt":0.49082395493371267,"score_spread":0.2745260330967274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416084172","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.871496,0.003619058,0.08010735,0.024778448,0.0012595671,0.0037803059,0.0001372952,0.00037104677,0.014450885],"genre_scores_gemma":[0.99598914,0.0008208192,0.00059198996,0.00042328992,0.0011174588,0.00010165358,0.0000862276,0.000012648972,0.00085677026],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.997542,0.00053339207,0.00037796528,0.00041591979,0.00044957187,0.0006811088],"domain_scores_gemma":[0.99665326,0.002446424,0.000108469074,0.00018392259,0.0004312348,0.00017669331],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0051632486,0.00012119457,0.00016506544,0.00024051484,0.0019880324,0.00021324714,0.00018477988,0.00017747619,0.0000358866],"category_scores_gemma":[0.00096446864,0.00012616036,0.00007915445,0.0015171089,0.00037537332,0.001247544,0.0000071353907,0.00040650097,6.0155986e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0052673738,0.0004913511,0.5819334,0.0006883937,0.00030188911,0.000019023919,0.024862092,0.051639743,0.00020148275,0.2939446,0.00963796,0.031012697],"study_design_scores_gemma":[0.0030029817,0.0003662969,0.30101985,0.0005465868,0.00047841837,8.9654776e-7,0.014327596,0.08265868,0.00007435438,0.06975866,0.52705556,0.00071010576],"about_ca_topic_score_codex":0.013946625,"about_ca_topic_score_gemma":0.009099847,"teacher_disagreement_score":0.5174176,"about_ca_system_score_codex":0.00007455591,"about_ca_system_score_gemma":0.00035518853,"threshold_uncertainty_score":0.99931127},"labels":[],"label_agreement":null},{"id":"W4416109850","doi":"10.54254/2754-1169/2025.ld29524","title":"Modeling for Forecasting Sharing Bike Demand in London","year":2025,"lang":"","type":"article","venue":"Advances in Economics Management and Political Sciences","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Milton District Hospital","funders":"","keywords":"Demand forecasting; Renting; Regression analysis; Linear regression; Component (thermodynamics); Seasonality; Multivariate adaptive regression splines; Decision tree; Resource (disambiguation)","score_opus":0.036511674730284854,"score_gpt":0.32712532686425727,"score_spread":0.2906136521339724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416109850","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8681922,0.005996315,0.0048761615,0.0013714691,0.0007745412,0.00087201624,0.000010325388,0.00001700684,0.117889985],"genre_scores_gemma":[0.9911894,0.006041255,0.0016699606,0.00033061765,0.00010333889,0.00006582597,0.0000025173276,0.000006473883,0.00059057574],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99671334,0.00004459681,0.0008410715,0.0010166616,0.00011869661,0.0012656167],"domain_scores_gemma":[0.999223,0.00035879767,0.00009048111,0.00015687117,0.000023131179,0.00014773117],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0022842376,0.00024354769,0.00041648775,0.00044417346,0.0006619335,0.00038525736,0.0006782903,0.000112166425,0.00001836287],"category_scores_gemma":[0.00008113678,0.00025149639,0.000086204374,0.0006813121,0.0010386399,0.0018280781,0.0002364451,0.00015975565,9.318776e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002896242,0.000055823544,0.34446484,0.00023147708,0.000007637813,0.0000015695518,0.00029008952,0.012461025,1.0583107e-7,0.61293405,8.549985e-7,0.029523551],"study_design_scores_gemma":[0.0006001433,0.000037187634,0.005307374,0.00028095001,0.000026359503,6.421791e-8,0.0033945155,0.4724479,0.000005405755,0.51524,0.002414458,0.00024560583],"about_ca_topic_score_codex":0.00086567865,"about_ca_topic_score_gemma":0.0148457335,"teacher_disagreement_score":0.4599869,"about_ca_system_score_codex":0.00023897283,"about_ca_system_score_gemma":0.00008661518,"threshold_uncertainty_score":0.99999374},"labels":[],"label_agreement":null},{"id":"W4416202736","doi":"10.1016/j.amepre.2025.107999","title":"REPRINT OF: Obesity Relationships with Community Design, Physical Activity, and Time Spent in Cars","year":2025,"lang":"en","type":"article","venue":"American Journal of Preventive Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; University of British Columbia","funders":"Centers for Disease Control and Prevention; Georgia Department of Transportation; U.S. Department of Transportation","keywords":"Reprint; Obesity; Built environment; Physical activity; Childhood obesity; Health behavior; MEDLINE","score_opus":0.037037762110324786,"score_gpt":0.34322560505089733,"score_spread":0.30618784294057255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416202736","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99192727,0.000055934688,0.005248971,0.0009975332,0.000024845442,0.00015171905,7.6924607e-7,0.0000033925578,0.0015895895],"genre_scores_gemma":[0.9993048,0.000023098179,0.000494489,0.000014723447,0.00003263737,0.0000010366418,3.420315e-7,0.0000023278485,0.0001265802],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99781764,0.0015225916,0.00022913184,0.00008275268,0.00024624696,0.00010165115],"domain_scores_gemma":[0.9985268,0.0007425272,0.00039690023,0.00012175042,0.0001448886,0.0000671202],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029313709,0.000068575355,0.00038385237,0.00011592868,0.00014157142,0.000004650033,0.0001728361,0.000016495364,0.0000164153],"category_scores_gemma":[0.0002968347,0.00004855756,0.00003775126,0.00050656754,0.001512726,0.00014255311,0.00002606045,0.00048300507,2.9587218e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020802834,0.0004506575,0.9689939,0.000015647976,0.00005494629,0.000007663303,0.01563075,0.000012135393,0.0006848942,0.00030633542,0.00002062242,0.013614414],"study_design_scores_gemma":[0.00042476124,0.0004036869,0.98649776,0.00038582913,0.00007273194,7.732711e-7,0.0073527363,0.00001557146,0.00043387213,0.0043529794,0.000019779704,0.00003949985],"about_ca_topic_score_codex":0.0046402086,"about_ca_topic_score_gemma":0.0012603776,"teacher_disagreement_score":0.017503873,"about_ca_system_score_codex":0.00008153975,"about_ca_system_score_gemma":0.00019083612,"threshold_uncertainty_score":0.7014638},"labels":[],"label_agreement":null},{"id":"W4416222456","doi":"10.1371/journal.pone.0335951","title":"A family of accessibility measures derived from spatial interaction principles","year":2025,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; McMaster University","funders":"","keywords":"Measure (data warehouse); Focus (optics); Population; Basis (linear algebra)","score_opus":0.11289463165979831,"score_gpt":0.31865152039549793,"score_spread":0.20575688873569964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416222456","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9835852,0.00017323812,0.0008185732,0.00041863677,0.0001352979,0.00025857778,0.000024960496,0.00007152536,0.014514003],"genre_scores_gemma":[0.99887013,0.000039715003,0.0006216153,0.00005932855,0.00010419502,0.000015630229,0.0000136293565,0.0000037986924,0.000271954],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987254,0.00014248356,0.0003178119,0.00026437372,0.00040048725,0.00014944669],"domain_scores_gemma":[0.999231,0.00014954546,0.00012795429,0.00024450582,0.00019878749,0.000048197184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003820351,0.0000807135,0.0002343653,0.000052164854,0.00016619879,0.000043619242,0.0002923334,0.00008801344,0.00023614478],"category_scores_gemma":[0.00038686948,0.00007715779,0.000067932095,0.00021249196,0.0002065564,0.00028573128,0.000037072234,0.00012236391,0.000005353221],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012258998,0.0011132143,0.918612,0.0000544909,0.00013195502,5.198821e-7,0.0018946744,8.745386e-7,0.070871316,0.00022460657,0.000009483997,0.0069642607],"study_design_scores_gemma":[0.00019212028,0.000010818017,0.9183035,0.00014318147,0.00009595791,8.1065415e-10,0.0007091864,0.000055144363,0.077660516,0.0026402706,0.00011931811,0.00006998776],"about_ca_topic_score_codex":0.030487383,"about_ca_topic_score_gemma":0.036661953,"teacher_disagreement_score":0.015284946,"about_ca_system_score_codex":0.00008029055,"about_ca_system_score_gemma":0.00022531072,"threshold_uncertainty_score":0.98091644},"labels":[],"label_agreement":null},{"id":"W4416239934","doi":"10.1016/j.jtrangeo.2025.104481","title":"Social contact, social cohesion, and social safety outcomes of children's school travel","year":2025,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Feeling; Social network (sociolinguistics); Perception; Travel behavior; Poison control; Social relation; TRIPS architecture; Cohesion (chemistry); Social position","score_opus":0.009586264002007532,"score_gpt":0.283431699154941,"score_spread":0.27384543515293347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416239934","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9903534,0.0002951646,0.0003616759,0.0047078584,0.00030492063,0.0002598405,0.000106154075,0.000023707378,0.0035872497],"genre_scores_gemma":[0.9989417,0.00011833646,0.000119427335,0.00028142467,0.00040786044,0.0000022411775,0.000015122467,0.000011949773,0.000101917154],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99731773,0.00014156266,0.0011566668,0.00023688967,0.00075504166,0.00039213133],"domain_scores_gemma":[0.99862236,0.00008043414,0.0006766477,0.00007990834,0.00040413093,0.00013650973],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012601183,0.00023402818,0.0009012201,0.00042265907,0.0011396344,0.00004175247,0.0004460983,0.00030718866,0.00016831551],"category_scores_gemma":[0.00002255354,0.00020766053,0.0009867471,0.00065628433,0.0007598832,0.0004336153,0.000010100103,0.00050318317,4.874124e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033923224,0.00027401646,0.98854524,0.000051852065,0.00046339008,0.00000778122,0.0048554004,1.7720784e-7,0.0001242282,0.0031926455,0.00046864583,0.001677417],"study_design_scores_gemma":[0.0017646034,0.000052341176,0.9919836,0.000030041569,0.0004518908,5.2460865e-7,0.001471179,1.0256456e-7,0.00008982391,0.0022283562,0.0017422651,0.00018529157],"about_ca_topic_score_codex":0.0007164336,"about_ca_topic_score_gemma":0.00078026135,"teacher_disagreement_score":0.008588292,"about_ca_system_score_codex":0.000048024558,"about_ca_system_score_gemma":0.00045914217,"threshold_uncertainty_score":0.8765262},"labels":[],"label_agreement":null},{"id":"W4416248852","doi":"10.1177/03611981251378483","title":"Using Questionnaires to Identify Travel Barriers: How (Not) to Ask Questions","year":2025,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Respondent; Usability; Ask price; Relevance (law); Consistency (knowledge bases); Checklist; Coding (social sciences)","score_opus":0.1423375733443387,"score_gpt":0.49229751289277446,"score_spread":0.34995993954843574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416248852","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93769765,0.00013194652,0.018046428,0.040399108,0.0013174018,0.001811774,0.00009699737,0.00005030419,0.0004483979],"genre_scores_gemma":[0.99219686,0.0001943739,0.00369304,0.00033099498,0.00034290834,0.0000814907,0.000007430346,0.000039377122,0.0031135173],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9897498,0.00237695,0.0013480317,0.00063939695,0.004605469,0.0012803879],"domain_scores_gemma":[0.99095184,0.0010527725,0.00029864995,0.00061911147,0.0058807707,0.0011968664],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.009597589,0.00028884647,0.00054891704,0.0021186033,0.002631052,0.0005825887,0.0019630657,0.0002917122,0.00034870248],"category_scores_gemma":[0.0017652469,0.0002458262,0.0004886222,0.006182594,0.0010096456,0.0012345813,0.00001269398,0.001958213,0.000023120634],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002172134,0.00038091824,0.8835514,0.00035084548,0.00028143558,0.00012524809,0.03516065,0.001999939,0.019223897,0.026386987,0.02210284,0.00826369],"study_design_scores_gemma":[0.0006671065,0.00019875426,0.9546647,0.00088979804,0.000083127,6.4489534e-8,0.012766559,0.000028084161,0.0019633793,0.0068155555,0.021684188,0.00023866295],"about_ca_topic_score_codex":0.060618535,"about_ca_topic_score_gemma":0.2850636,"teacher_disagreement_score":0.22444506,"about_ca_system_score_codex":0.00081787974,"about_ca_system_score_gemma":0.003534758,"threshold_uncertainty_score":0.9999994},"labels":[],"label_agreement":null},{"id":"W4416284283","doi":"10.1080/15568318.2025.2586219","title":"Factors influencing car ownership in Toronto: Insights from a hurdle-ordered model","year":2025,"lang":"en","type":"article","venue":"International Journal of Sustainable Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"Infrastructure Canada","keywords":"Car ownership; Work (physics); Structural equation modeling; Sustainability; Mode choice; Sustainable transport","score_opus":0.01937025404149287,"score_gpt":0.31684250658598456,"score_spread":0.29747225254449167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416284283","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99130535,0.00048525844,0.003139648,0.00046606176,0.00039007573,0.00015852076,0.000012980347,0.000018162898,0.0040239547],"genre_scores_gemma":[0.99879473,0.00007065486,0.00021262416,0.00010033104,0.00010019396,0.000004392237,0.000039569168,0.0000070883584,0.00067039515],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982426,0.00006455573,0.0006799248,0.0001687451,0.0006196183,0.00022453617],"domain_scores_gemma":[0.998465,0.000109122004,0.00030370423,0.00007981996,0.0009634191,0.000078923375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032571872,0.000125589,0.00022371487,0.00025177147,0.00012177947,0.00009495611,0.0004857195,0.00012373661,0.00013404714],"category_scores_gemma":[0.00010643642,0.000111954505,0.00013610568,0.00025738284,0.000083534505,0.0018473242,0.0000041120943,0.00020301176,3.469608e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035719512,0.00023186416,0.83608764,0.000035653404,0.00016717923,0.0002019758,0.0891471,0.008207287,0.00056455587,0.06399037,0.00005179,0.00095739425],"study_design_scores_gemma":[0.0010618631,0.000019726003,0.8141469,0.00013234523,0.000053646796,4.7615675e-8,0.13552226,0.00037059386,0.00052431773,0.047124892,0.00089075585,0.00015265164],"about_ca_topic_score_codex":0.051975172,"about_ca_topic_score_gemma":0.1009538,"teacher_disagreement_score":0.04897863,"about_ca_system_score_codex":0.0013478518,"about_ca_system_score_gemma":0.0009343733,"threshold_uncertainty_score":0.95433784},"labels":[],"label_agreement":null},{"id":"W4416338575","doi":"10.1016/j.tra.2025.104748","title":"Switching back to transit? Post-pandemic commute choices and emotional response","year":2025,"lang":"en","type":"article","venue":"Transportation Research Part A Policy and Practice","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal","funders":"Fonds de Recherche du Québec-Société et Culture; McGill University","keywords":"Multinomial logistic regression; Public transport; Evening; Mode choice; Transit (satellite); Logistic regression; Coronavirus disease 2019 (COVID-19); Pandemic","score_opus":0.11840660536776447,"score_gpt":0.49562828016480587,"score_spread":0.3772216747970414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416338575","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9000193,0.0003349283,0.00060841825,0.08672233,0.00006516845,0.0005936901,0.000081177335,0.000058338395,0.011516644],"genre_scores_gemma":[0.99192125,0.00059916015,0.0005175823,0.0028691478,0.00016295242,0.00003552798,0.000030117744,0.000008715606,0.0038555616],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99670535,0.001544868,0.00032501313,0.00037247455,0.00058591884,0.00046634747],"domain_scores_gemma":[0.9938735,0.0051410296,0.000058269125,0.0001733591,0.00045175126,0.0003021028],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0068481355,0.00012285105,0.00017364789,0.00037443492,0.00125437,0.00023046159,0.00020312217,0.0001291551,0.00017032218],"category_scores_gemma":[0.002374078,0.00012368837,0.000041243045,0.001035501,0.0003616498,0.0011325113,0.000008576565,0.00047263305,0.000022380564],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.028379448,0.0009113053,0.49224657,0.0008258877,0.000375957,0.00007818075,0.23916547,0.00009606309,0.011151083,0.17224592,0.005652325,0.048871785],"study_design_scores_gemma":[0.00049491954,0.000080965525,0.5844726,0.000103851664,0.000026797425,5.997165e-7,0.0045693447,0.000009275322,0.00004223441,0.0016822821,0.40839416,0.00012297153],"about_ca_topic_score_codex":0.02518738,"about_ca_topic_score_gemma":0.0333923,"teacher_disagreement_score":0.40274185,"about_ca_system_score_codex":0.000064368855,"about_ca_system_score_gemma":0.00092141563,"threshold_uncertainty_score":0.9842458},"labels":[],"label_agreement":null},{"id":"W4416373714","doi":"10.1016/j.cstp.2025.101660","title":"Transport emissions and climate change: Which actions are the hardest?","year":2025,"lang":"en","type":"article","venue":"Case Studies on Transport Policy","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Université Laval; Polytechnique Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Centre for Interdisciplinary Research in Rehabilitation","keywords":"Climate change; Rasch model; Effects of global warming; Measure (data warehouse); Global warming; Perception","score_opus":0.08182143111790527,"score_gpt":0.4001710254113958,"score_spread":0.3183495942934905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416373714","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93183285,0.0015948662,0.000013397191,0.034449194,0.0005492827,0.00079513463,0.0002417223,0.00021644915,0.030307129],"genre_scores_gemma":[0.99255115,0.003955664,0.000017710827,0.0015538196,0.0005007662,0.00020354016,0.0000131172,0.000015979233,0.0011882388],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99815804,0.00008845385,0.00042187245,0.0004794507,0.00027015895,0.0005820128],"domain_scores_gemma":[0.99891025,0.00018333935,0.000115042625,0.00039116212,0.00020896256,0.0001912547],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0006319573,0.0002685135,0.0003942836,0.00018001716,0.0032189966,0.000030064357,0.00023528238,0.00014345541,0.000042071344],"category_scores_gemma":[0.00011300302,0.00019239698,0.00016074121,0.0012208873,0.0008610274,0.0002350522,0.00001381033,0.0003524835,0.0000071758714],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001412319,0.0003578018,0.85639966,0.00039936465,0.00037718008,0.001013601,0.07348342,0.000013520178,0.000017858347,0.057657473,0.000791934,0.009346965],"study_design_scores_gemma":[0.00071149983,0.00005257534,0.8747783,0.00038971234,0.00048580268,0.000018382423,0.06074784,0.0000041440453,0.00007368945,0.0016620043,0.060623866,0.00045223703],"about_ca_topic_score_codex":0.0028312488,"about_ca_topic_score_gemma":0.09216538,"teacher_disagreement_score":0.08933414,"about_ca_system_score_codex":0.00010750356,"about_ca_system_score_gemma":0.0002503488,"threshold_uncertainty_score":0.9980787},"labels":[],"label_agreement":null},{"id":"W4416399460","doi":"10.1051/e3sconf/202566409015","title":"Comparative parameters of travel behavior in medium-sized cities (Case study: Bandung, Indonesia, and Kuantan, Malaysia)","year":2025,"lang":"fr","type":"article","venue":"E3S Web of Conferences","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"SWOT analysis; Paratransit; Adaptability; Radar chart; Flexibility (engineering); Schedule; Chart; Service (business)","score_opus":0.06572531864638907,"score_gpt":0.3452655297747423,"score_spread":0.2795402111283532,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416399460","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9870903,0.0032916258,0.000017499036,0.00069312454,0.00063464104,0.00096066383,0.00008280941,0.000012223411,0.0072171255],"genre_scores_gemma":[0.9988525,0.0002695559,0.00010258793,0.000019779214,0.000025969317,0.00006332392,0.000005194532,0.0000048777943,0.0006561993],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99736094,0.0005213641,0.0009484503,0.00042326577,0.00041377457,0.00033220754],"domain_scores_gemma":[0.9984633,0.0006365696,0.0003805605,0.00020842606,0.00021252703,0.00009865192],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.00085078564,0.00026654112,0.0010815572,0.0002696413,0.00013805836,0.000058504735,0.00036185732,0.00020368272,0.0003191157],"category_scores_gemma":[0.00003674052,0.00025190657,0.000118025135,0.0007593874,0.0027456724,0.00035719122,0.000048848466,0.00027662335,8.344335e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013454675,0.0009321593,0.9660654,0.0001654216,0.00012216499,0.00013376113,0.025074916,0.000002491502,0.000183429,0.0038800507,0.000025365525,0.0032802825],"study_design_scores_gemma":[0.0015791793,0.0003429953,0.8138639,0.0002726339,0.00035750915,0.0000027934511,0.1802774,0.0001314888,0.0020205362,0.00088144623,0.00005820432,0.00021192947],"about_ca_topic_score_codex":0.023736738,"about_ca_topic_score_gemma":0.061358713,"teacher_disagreement_score":0.1552025,"about_ca_system_score_codex":0.000034512304,"about_ca_system_score_gemma":0.0022394576,"threshold_uncertainty_score":0.9999933},"labels":[],"label_agreement":null},{"id":"W4416404103","doi":"10.1109/e-tems64751.2025.11239108","title":"New Mobility in the Norwegian Countryside: Scoping Possibilities and Barriers","year":2025,"lang":"","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transferability; Public transport; Norwegian; Rural area; Rural development; Digital divide; Face (sociological concept)","score_opus":0.014581649868745264,"score_gpt":0.3065307184118389,"score_spread":0.2919490685430936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416404103","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90850866,0.0025943944,0.00033580992,0.007462028,0.00063071883,0.0013178933,0.0000122856045,0.000043526947,0.0790947],"genre_scores_gemma":[0.9903226,0.00027333698,0.000111507106,0.0016120716,0.00013738422,0.000018964545,0.0000021442318,0.0000059024455,0.0075161145],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99669135,0.0005024461,0.0007870874,0.00082015625,0.00051739794,0.00068159075],"domain_scores_gemma":[0.99818796,0.0007363799,0.00010545987,0.00062999205,0.00008696794,0.0002532377],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0031059613,0.00029647525,0.00045164305,0.000113481954,0.0010330661,0.00065585383,0.000807985,0.00026017678,0.0026266824],"category_scores_gemma":[0.00042821263,0.00021651064,0.00013209946,0.0013621772,0.0015306431,0.0007926464,0.00008357499,0.00045005255,0.000006488014],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005525691,0.00008425407,0.92288905,0.0004291907,0.000024726754,0.0000045291436,0.050080243,0.0000033965316,0.000009119962,0.020122318,0.0008588265,0.005439072],"study_design_scores_gemma":[0.0007302446,0.00004253265,0.8250117,0.0007795447,0.000076067845,1.6307182e-7,0.11572723,0.00006327993,0.00005879834,0.05583297,0.0013288466,0.0003486756],"about_ca_topic_score_codex":0.044819906,"about_ca_topic_score_gemma":0.1250549,"teacher_disagreement_score":0.09787742,"about_ca_system_score_codex":0.00017820565,"about_ca_system_score_gemma":0.0027475087,"threshold_uncertainty_score":0.99828506},"labels":[],"label_agreement":null},{"id":"W4416415706","doi":"10.1177/03611981251381744","title":"Equity Implications of Shared Micro-Mobility in the Suburbs: A Spatial Analysis of Shared E-Scooter Use in Different Built and Social Environments","year":2025,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Equity (law); Built environment; Social equality; Context (archaeology); Immigration; Work (physics); Spatial contextual awareness; Statistical analysis","score_opus":0.14544457896797292,"score_gpt":0.4453601385045492,"score_spread":0.2999155595365763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416415706","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99330354,0.00010038636,0.0005465639,0.0043656263,0.000068451605,0.0011766315,0.00035965448,0.000004374371,0.00007476327],"genre_scores_gemma":[0.99931,0.00023859233,0.00014779498,0.00003713039,0.000032390923,0.00007455011,0.00005613155,0.000010386298,0.000093014896],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9927686,0.002133728,0.001754934,0.00041160008,0.0023068043,0.0006243744],"domain_scores_gemma":[0.99650073,0.0015691012,0.0005026236,0.0004416321,0.00086825626,0.000117653966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007098986,0.00018415094,0.0006663614,0.001483828,0.00046984374,0.000115275936,0.001320303,0.00020712795,0.00022069653],"category_scores_gemma":[0.00024031468,0.00012879231,0.00044024794,0.0040054834,0.0015640367,0.0006369541,0.000016733913,0.0012275516,3.755344e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000793926,0.0007771647,0.9755364,0.00015397074,0.00020925315,0.00000631267,0.015860723,0.00009198657,0.003982034,0.0008698648,0.000116520656,0.0016018256],"study_design_scores_gemma":[0.0010321307,0.0000915234,0.9911047,0.00013169557,0.00020111422,7.5593665e-9,0.0036666575,0.000032292584,0.0004297928,0.0027932462,0.00042276687,0.00009403493],"about_ca_topic_score_codex":0.096386015,"about_ca_topic_score_gemma":0.6990678,"teacher_disagreement_score":0.60268176,"about_ca_system_score_codex":0.000298252,"about_ca_system_score_gemma":0.00054417,"threshold_uncertainty_score":0.90963125},"labels":[],"label_agreement":null},{"id":"W4416450479","doi":"10.1007/s11116-025-10693-8","title":"Standards of fairness in the transportation literature","year":2025,"lang":"en","type":"article","venue":"Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; McMaster University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Operationalization; Equity (law); TRIPS architecture; Pedestrian; Work (physics); Framing (construction); Population; Environmental justice; Economic Justice","score_opus":0.009572360711676732,"score_gpt":0.3240079624204577,"score_spread":0.314435601708781,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416450479","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9891286,0.0003331888,0.0033184376,0.0009059867,0.00014012627,0.0003525753,0.00017881114,0.000029827983,0.0056124423],"genre_scores_gemma":[0.9993545,0.00006691281,0.00007613713,0.00009056691,0.000022965998,0.00002224363,0.00020764823,0.0000033522308,0.00015569599],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988154,0.00008859504,0.00034734604,0.00015957696,0.00044554504,0.00014349095],"domain_scores_gemma":[0.9995186,0.00006899718,0.000074337055,0.00012857598,0.00019115006,0.000018337765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086291815,0.000079111174,0.00013699,0.00010552416,0.00012074632,0.000027853375,0.00021160812,0.000101252255,0.00006614474],"category_scores_gemma":[0.000016763097,0.00006193362,0.000077141485,0.0010821123,0.0001382469,0.00031516707,1.6484144e-7,0.0001320097,3.556037e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010940142,0.00012692621,0.80595225,0.00017847905,0.000010311035,0.000008434713,0.10364412,0.00008010622,0.00015083114,0.086206265,0.00014698607,0.003385863],"study_design_scores_gemma":[0.00033824943,0.000010940342,0.9814805,0.00011571691,0.000030394158,4.8151216e-9,0.0045700455,0.0000040287046,0.00026625555,0.009002374,0.004119716,0.000061784944],"about_ca_topic_score_codex":0.0023974269,"about_ca_topic_score_gemma":0.08482561,"teacher_disagreement_score":0.17552821,"about_ca_system_score_codex":0.00003687145,"about_ca_system_score_gemma":0.0002198773,"threshold_uncertainty_score":0.9318739},"labels":[],"label_agreement":null},{"id":"W4416528153","doi":"10.2139/ssrn.5784433","title":"A spatial-temporal equity analysis of cycling infrastructure development in three Canadian cities","year":2025,"lang":"","type":"preprint","venue":"SSRN Electronic Journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University; McGill University","funders":"","keywords":"Equity (law); Disadvantaged; Cycling; Psychological intervention; Sustainable development; Transport infrastructure","score_opus":0.018158476403225474,"score_gpt":0.30030679901354496,"score_spread":0.28214832261031947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416528153","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9817522,0.0035804226,0.008685168,0.00047432448,0.0009285148,0.0005620884,0.00011101942,0.000017451395,0.0038887959],"genre_scores_gemma":[0.9959635,0.0026394662,0.00024801804,0.000052405823,0.00027904683,0.000015427917,0.000111695306,0.000018230412,0.000672215],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98950046,0.00043058622,0.0025161717,0.00094763737,0.0013154402,0.005289701],"domain_scores_gemma":[0.9968629,0.00012908751,0.0014606433,0.0005238115,0.0005167346,0.0005068066],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.009307707,0.000681077,0.0018274193,0.002842869,0.0010842681,0.00026851043,0.0022267646,0.0009428019,0.000729811],"category_scores_gemma":[0.00016026173,0.00069810956,0.0009538696,0.003476129,0.0005224022,0.00034148834,0.0003799437,0.0075579137,0.0000019956],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.00007789892,0.00007472847,0.9268851,0.00010181674,0.003405645,0.00000839782,0.011387706,0.0027706325,0.0000033652127,0.005086505,0.0000030032309,0.05019517],"study_design_scores_gemma":[0.0004749741,0.000051840412,0.7672941,0.0003569725,0.0016118381,0.0000012015101,0.009475299,0.000898977,0.000023055665,0.2186755,0.0004757381,0.00066051295],"about_ca_topic_score_codex":0.85814434,"about_ca_topic_score_gemma":0.99953467,"teacher_disagreement_score":0.21358898,"about_ca_system_score_codex":0.013630483,"about_ca_system_score_gemma":0.13497105,"threshold_uncertainty_score":0.999547},"labels":[],"label_agreement":null},{"id":"W4416553930","doi":"10.1080/26408066.2025.2593478","title":"Integrated Care as a Solution to Address Complexities in Logistical Access and Mobility: A Community-Based Study on Social Equity in Health","year":2025,"lang":"en","type":"article","venue":"Journal of Evidence-Based Social Work","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Mental health; Health care; Autonomy; Equity (law); Health equity; Integrated care; Social determinants of health; Socioeconomic status; Work (physics)","score_opus":0.4246893636333473,"score_gpt":0.5175756602406791,"score_spread":0.09288629660733183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416553930","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97314906,0.00030388663,0.00047521113,0.024226274,0.00026804878,0.0009831501,0.000017435103,0.000026413882,0.00055051374],"genre_scores_gemma":[0.99758995,0.0000054089223,0.00008789194,0.0020867344,0.00016410252,0.00003328346,0.0000054728416,0.0000083491805,0.000018840778],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9933622,0.004025895,0.0010341868,0.00025982835,0.0008164752,0.0005014205],"domain_scores_gemma":[0.997152,0.0016479325,0.0003952574,0.0001545347,0.00047553415,0.00017478083],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0068671624,0.00021020298,0.00073644705,0.0005084001,0.0017360419,0.00031102798,0.0008002663,0.00019360917,0.00004491499],"category_scores_gemma":[0.0016715421,0.00018364805,0.00015576663,0.002476984,0.0005705486,0.00041817655,0.0001041146,0.0013500475,0.0000011186905],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0032490534,0.0022283294,0.9285387,0.00033926993,0.0000271715,0.00003267241,0.053427253,0.00019784184,0.000006151433,0.0018851864,0.0005162434,0.00955216],"study_design_scores_gemma":[0.001498764,0.0006041674,0.9344648,0.0020504536,0.00003129253,3.552519e-8,0.054729424,0.000010269658,0.000009644564,0.0061355936,0.00028434733,0.00018118178],"about_ca_topic_score_codex":0.020444907,"about_ca_topic_score_gemma":0.078914985,"teacher_disagreement_score":0.058470078,"about_ca_system_score_codex":0.0021396317,"about_ca_system_score_gemma":0.0037116648,"threshold_uncertainty_score":0.9995636},"labels":[],"label_agreement":null},{"id":"W4416608075","doi":"10.1007/978-3-031-99812-6_4","title":"Governing Public Transit in Canada","year":2025,"lang":"en","type":"book-chapter","venue":"Local and urban governance","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University","funders":"","keywords":"Public transport; Transit (satellite); Corporate governance; Legislation; Government (linguistics); Revenue; Transit system; Delegate","score_opus":0.011323058675767484,"score_gpt":0.20600469941277474,"score_spread":0.19468164073700725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416608075","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0025933497,0.00882125,0.00020118144,0.00221395,0.000412163,0.00022016569,0.000315345,0.000030042342,0.98519254],"genre_scores_gemma":[0.5479744,0.0006760956,0.000008001932,0.00032758826,0.00009795997,0.0000035811938,0.000012328348,0.000010008243,0.45089003],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99833834,0.000020648746,0.00031774768,0.00044230444,0.0005136151,0.00036734904],"domain_scores_gemma":[0.999407,0.00008200255,0.00015038451,0.00017190949,0.00003976789,0.00014896145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016023965,0.00022956217,0.00037913735,0.000021998572,0.00017862573,0.000051700197,0.00030197977,0.00021368303,0.0005777286],"category_scores_gemma":[0.000024502848,0.00023266602,0.000071771545,0.00007785469,0.0002707229,0.00018096756,0.000025753432,0.00045135067,0.0000049551227],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005911542,0.000030590305,0.24885856,0.00026804436,0.000057591227,0.00021568657,0.0011082434,0.0000056086083,6.756742e-7,0.59549505,0.04501035,0.10889047],"study_design_scores_gemma":[0.000211823,0.0000068752584,0.045433465,0.00023941799,0.000017388884,1.355636e-7,0.00009000053,0.00002831515,0.0000010084111,0.0022601483,0.9514262,0.00028519565],"about_ca_topic_score_codex":0.9318246,"about_ca_topic_score_gemma":0.99824685,"teacher_disagreement_score":0.9064159,"about_ca_system_score_codex":0.0010155181,"about_ca_system_score_gemma":0.0031620248,"threshold_uncertainty_score":0.9487845},"labels":[],"label_agreement":null},{"id":"W4416690661","doi":"10.1136/ip-2025-045770","title":"Bicycling injuries in children and the role of the built environment: a case-crossover study","year":2025,"lang":"en","type":"article","venue":"Injury Prevention","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Alberta Children's Hospital; SickKids Foundation; University of Toronto; BC Children's Hospital; Hospital for Sick Children; University of British Columbia; Simon Fraser University; University of Calgary","funders":"Canadian Institutes of Health Research; Alberta Innovates; University of Pittsburgh","keywords":"Poison control; Human factors and ergonomics; Occupational safety and health; Injury prevention; Suicide prevention","score_opus":0.006670995884745663,"score_gpt":0.29680163462487447,"score_spread":0.2901306387401288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416690661","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976926,0.0004267765,0.000011300282,0.00014699729,0.000051509516,0.0007597929,0.0000072553053,0.000007732562,0.00089602824],"genre_scores_gemma":[0.9994447,0.000021209367,0.00000778679,0.00001555751,0.000020185822,0.000022607039,8.364102e-7,0.000002119831,0.00046496134],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99912107,0.00029485923,0.00021362116,0.00013824042,0.00013759416,0.00009463448],"domain_scores_gemma":[0.99967486,0.0000511593,0.00008437949,0.00017108378,0.000008208522,0.000010313431],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009794928,0.00005327187,0.00010101229,0.000031964806,0.00030014638,0.000035901525,0.00015801252,0.000039656712,0.000029521803],"category_scores_gemma":[0.000042222826,0.00003302952,0.00005469743,0.0001904362,0.00039792128,0.00014579133,0.00006240572,0.0000984733,6.63746e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059810136,0.00013480449,0.9870205,0.0000024223555,0.00001860334,2.2518999e-7,0.004576263,0.0000015700216,0.00003698279,0.0011318753,0.000003695975,0.007013271],"study_design_scores_gemma":[0.0005393717,0.000013638367,0.96696544,0.000018439547,0.000042452608,1.4224871e-7,0.0024528273,0.00000513034,0.00027442386,0.029511523,0.00014128812,0.00003534777],"about_ca_topic_score_codex":0.0074941255,"about_ca_topic_score_gemma":0.0063076923,"teacher_disagreement_score":0.028379647,"about_ca_system_score_codex":0.000023009688,"about_ca_system_score_gemma":0.00003376227,"threshold_uncertainty_score":0.99911505},"labels":[],"label_agreement":null},{"id":"W4416812733","doi":"10.1016/j.tranpol.2025.103928","title":"How pregnancy might change women's travel behavior","year":2025,"lang":"en","type":"article","venue":"Transport Policy","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Travel behavior; Quarter (Canadian coin); TRIPS architecture; Latent class model; Injury prevention; Behavior change; Poison control; Behaviour change; Affect (linguistics); Human factors and ergonomics","score_opus":0.03830178972924706,"score_gpt":0.3277477620390678,"score_spread":0.2894459723098207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416812733","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9226997,0.0006549263,0.0002241137,0.012075793,0.00040813957,0.0010640422,0.00010670461,0.0002618847,0.06250472],"genre_scores_gemma":[0.95690536,0.00015521694,0.000053641485,0.0007266725,0.0004665728,0.0005009011,0.000027012464,0.000016135482,0.0411485],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99815917,0.00004838934,0.0002632838,0.00040937186,0.00034328917,0.0007765213],"domain_scores_gemma":[0.9992563,0.000021824366,0.00006702555,0.00034278093,0.000070303744,0.0002417776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022352373,0.00021105392,0.00030913847,0.00023580574,0.00044533092,0.0000716653,0.0004957424,0.00020093189,0.00039928028],"category_scores_gemma":[0.000013751499,0.00020445493,0.0001721004,0.0009835786,0.0003860899,0.00056396413,0.0000066859975,0.00019106222,0.000013630875],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003224164,0.00048855087,0.85420996,0.00014769148,0.000039699575,0.000056305966,0.043174118,4.9864237e-8,0.00019958509,0.05836718,0.00017255137,0.043112054],"study_design_scores_gemma":[0.00046933437,0.000022808199,0.9178531,0.00009435626,0.000061656996,1.06007384e-7,0.0019787948,2.4478115e-7,0.0002992907,0.0020181257,0.076952554,0.00024959035],"about_ca_topic_score_codex":0.008290017,"about_ca_topic_score_gemma":0.0077613047,"teacher_disagreement_score":0.07678001,"about_ca_system_score_codex":0.00021246764,"about_ca_system_score_gemma":0.00051573414,"threshold_uncertainty_score":0.99831384},"labels":[],"label_agreement":null},{"id":"W4416887687","doi":"10.1016/j.trip.2025.101754","title":"Understanding travel behavior and mode choice prediction for university commuters: insights from discrete choice models and machine learning","year":2025,"lang":"en","type":"article","venue":"Transportation Research Interdisciplinary Perspectives","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mode choice; Multinomial logistic regression; Discrete choice; Mode (computer interface); Travel behavior; Choice set; Choice modelling; Public transport; Mixed logit","score_opus":0.1577888419600679,"score_gpt":0.41731251638058164,"score_spread":0.2595236744205137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416887687","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9281752,0.0005855848,0.06579088,0.0016010639,0.000071112416,0.0008644349,0.00041397047,0.00008771417,0.002410022],"genre_scores_gemma":[0.99823624,0.00029221165,0.0003251872,0.00000564579,0.00006339739,0.00003388849,0.00018764065,0.000012258071,0.0008435281],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99830997,0.00026812783,0.00021557168,0.0005596146,0.00034039866,0.0003063408],"domain_scores_gemma":[0.9987295,0.00072330073,0.000058004556,0.00013462587,0.00020467344,0.00014987652],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00038877837,0.00014988758,0.00021382635,0.00032023928,0.0023196843,0.00012788906,0.00021308906,0.00013224312,0.000027478522],"category_scores_gemma":[0.000037675123,0.00015481637,0.00007541641,0.00039956265,0.0009476696,0.0011576314,0.000039111954,0.00046076102,2.4678042e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010373333,0.0003736846,0.49977428,0.0001643587,0.00020658868,0.000014308218,0.40314323,0.0003722524,0.0011546111,0.09271752,0.00009994716,0.0009418952],"study_design_scores_gemma":[0.0012228646,0.00014027787,0.6805688,0.00014184845,0.00010688889,4.063213e-8,0.26721063,0.012913314,0.000044238783,0.037262324,0.00021903025,0.00016971942],"about_ca_topic_score_codex":0.010043878,"about_ca_topic_score_gemma":0.077011146,"teacher_disagreement_score":0.18079455,"about_ca_system_score_codex":0.0004005493,"about_ca_system_score_gemma":0.00011215185,"threshold_uncertainty_score":0.99897915},"labels":[],"label_agreement":null},{"id":"W4416918295","doi":"10.1016/j.knosys.2025.114986","title":"Predicting short-Term bike-Sharing demand at station level: A multi-Task dynamic graph-based spatiotemporal approach","year":2025,"lang":"en","type":"article","venue":"Knowledge-Based Systems","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Ministère de la Défense Nationale; Khalifa University of Science, Technology and Research; Canada Excellence Research Chairs, Government of Canada","keywords":"Field (mathematics); Noise (video); Process (computing); Production (economics); Demand forecasting","score_opus":0.05552369959881402,"score_gpt":0.33211635891464747,"score_spread":0.27659265931583343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416918295","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8189695,0.0013876065,0.17113467,0.00005881539,0.0012729029,0.001534762,0.00014363774,0.0004473008,0.0050508147],"genre_scores_gemma":[0.9959195,0.000003386874,0.00061486266,0.000019841791,0.00015354308,0.00023608777,0.00041142016,0.00003480438,0.0026065144],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9966867,0.0004571662,0.0008426334,0.00087321806,0.0005068455,0.0006334216],"domain_scores_gemma":[0.9984259,0.00023945767,0.00025164528,0.0005233915,0.00034766804,0.00021194991],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002012464,0.0003387188,0.0004881651,0.00043516982,0.0012428398,0.00028388968,0.00057058147,0.00030722027,0.000021810663],"category_scores_gemma":[0.00012641569,0.00033469958,0.0002360351,0.0011231961,0.00032716527,0.00032809676,0.0000463666,0.000272745,0.000018352297],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006382071,0.000374373,0.99264556,0.0009623896,0.000050627306,0.0000043405316,0.0029007532,0.001439265,0.0005480681,0.00014485384,0.00009347429,0.0007724638],"study_design_scores_gemma":[0.0023269716,0.000053848788,0.5030585,0.0009404246,0.00017666402,2.323422e-7,0.001781489,0.4892955,0.0006134773,0.00007302136,0.0010087857,0.00067105354],"about_ca_topic_score_codex":0.0041406164,"about_ca_topic_score_gemma":0.037662584,"teacher_disagreement_score":0.48958707,"about_ca_system_score_codex":0.00084687944,"about_ca_system_score_gemma":0.0007578356,"threshold_uncertainty_score":0.99991053},"labels":[],"label_agreement":null},{"id":"W4416926326","doi":"10.36939/cjur/vol31no1/art390","title":"Dockless micromobility sharing in Calgary: A spatial equity comparison of e-bikes and e-scooters","year":2022,"lang":"","type":"article","venue":"Canadian journal of urban research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Western University","funders":"","keywords":"Equity (law); TRIPS architecture; Logistic regression; Descriptive statistics; Built environment; Inequality","score_opus":0.1431809843560732,"score_gpt":0.42823587118224693,"score_spread":0.28505488682617375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416926326","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.988937,0.0073580043,0.000018719456,0.00088518654,0.0005902424,0.00053474033,0.0001191936,0.000002351298,0.0015545685],"genre_scores_gemma":[0.999539,0.00005182218,0.00003435267,0.000018317081,0.00018083483,0.000008465197,0.0000048251504,0.000018957948,0.00014340738],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99266154,0.0019921332,0.001550369,0.0005623824,0.0018116202,0.0014219729],"domain_scores_gemma":[0.9962453,0.0005244555,0.0005246717,0.00041435845,0.00066720275,0.0016239748],"candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.018044261,0.0002248374,0.00090362574,0.001254117,0.001612407,0.00027885012,0.0020336735,0.00017739082,0.0021540362],"category_scores_gemma":[0.0005704963,0.00024776213,0.00021702539,0.0018665722,0.00262455,0.0004522727,0.000409909,0.0029325243,0.0000012340344],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032286733,0.00022827684,0.9628998,0.00022512279,0.000043825923,0.00024660048,0.027855515,0.00004197581,0.00033581295,0.00022596552,0.00074396335,0.0068302746],"study_design_scores_gemma":[0.0011864426,0.00073585956,0.96906996,0.000289405,0.00003861872,0.000007336451,0.022015078,0.00044951303,0.0003680216,0.0022050103,0.0033448925,0.0002898626],"about_ca_topic_score_codex":0.58367974,"about_ca_topic_score_gemma":0.78682756,"teacher_disagreement_score":0.20314786,"about_ca_system_score_codex":0.0021000365,"about_ca_system_score_gemma":0.009561482,"threshold_uncertainty_score":0.99999744},"labels":[],"label_agreement":null},{"id":"W4416926375","doi":"10.36939/cjur/vol30no2/art384","title":"Book Reviews","year":2022,"lang":"","type":"article","venue":"Canadian journal of urban research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Blueprint; Politics; Agency (philosophy); Dominance (genetics); Socioeconomic status; Power (physics); Public housing; Urban design","score_opus":0.13796490891610924,"score_gpt":0.3987537151334689,"score_spread":0.26078880621735967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416926375","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.098841734,0.82219625,0.000009308146,0.015028477,0.0039035764,0.0012451842,0.00015715993,0.0000058775136,0.058612447],"genre_scores_gemma":[0.9522526,0.0043200376,0.000024924691,0.0011037402,0.0016088496,0.000020717653,0.0000045082156,0.00003209861,0.04063251],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.98857933,0.0055852956,0.0013291825,0.00039421167,0.002357201,0.00175478],"domain_scores_gemma":[0.99418896,0.00042188508,0.0004976805,0.00051379664,0.0010606521,0.0033170395],"candidate_categories":["metaresearch","sts","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.030703055,0.00021065124,0.00067631336,0.0012823126,0.005423241,0.00040548271,0.002807504,0.00013196915,0.09692088],"category_scores_gemma":[0.0010601758,0.00021312336,0.0005295364,0.0028626632,0.0017922507,0.00070378877,0.00009040721,0.0037953635,0.000159671],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000556356,0.00006650587,0.108254865,0.00007508389,0.000040129307,0.00079933705,0.009290443,0.000005453345,0.0000127649455,0.0006447451,0.8776573,0.0030977705],"study_design_scores_gemma":[0.0003402196,0.0004441534,0.01560948,0.00012899672,0.00003228357,0.000014281475,0.0041470197,0.0000042710403,0.000009962322,0.0010280525,0.9780364,0.00020489373],"about_ca_topic_score_codex":0.057271227,"about_ca_topic_score_gemma":0.07757695,"teacher_disagreement_score":0.8534109,"about_ca_system_score_codex":0.0026300855,"about_ca_system_score_gemma":0.025821444,"threshold_uncertainty_score":0.9985029},"labels":[],"label_agreement":null},{"id":"W4416970503","doi":"10.31235/osf.io/j2pkm_v1","title":"The first national survey on transport poverty: Design, implementation and findings from Canada","year":2025,"lang":"","type":"preprint","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Equity (law); Socioeconomic status; Poverty; General partnership; Data collection; Survey data collection; Scale (ratio); Inequality","score_opus":0.052030588562488704,"score_gpt":0.32482640814733255,"score_spread":0.27279581958484383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416970503","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96161425,0.00033266822,0.0017645956,0.011775453,0.0029364,0.0023916638,0.0076629915,0.000054263575,0.011467717],"genre_scores_gemma":[0.9932931,0.00046415633,0.00006821003,0.0019794349,0.00013655802,0.000059629318,0.0012243737,0.000010498798,0.002764057],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9955633,0.00035968208,0.00090025336,0.0010391998,0.0016148476,0.00052269263],"domain_scores_gemma":[0.9960811,0.0027462954,0.00026228794,0.00030741145,0.00042659353,0.00017627899],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0030690192,0.00043027554,0.00042438056,0.00005782898,0.0026366694,0.00029819182,0.0008153021,0.00029258674,0.0016480646],"category_scores_gemma":[0.000077515084,0.0003313918,0.00012692873,0.0003847786,0.00030217195,0.00019966188,0.000071691444,0.0005153494,0.000002962527],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018512117,0.000050249262,0.9729328,0.000025027395,0.00017542721,0.0000017438018,0.001896124,0.00006600331,9.046905e-7,0.0006771,0.02238039,0.0016091055],"study_design_scores_gemma":[0.00041211295,0.000021651604,0.9792987,0.000056627137,0.00007061451,1.3250469e-8,0.0016868754,0.00006918205,0.00012937438,0.003211996,0.014679443,0.00036341551],"about_ca_topic_score_codex":0.99595165,"about_ca_topic_score_gemma":0.99977225,"teacher_disagreement_score":0.031678833,"about_ca_system_score_codex":0.00091619336,"about_ca_system_score_gemma":0.007908291,"threshold_uncertainty_score":0.9999138},"labels":[],"label_agreement":null},{"id":"W4417004896","doi":"10.1182/blood-2025-8057","title":"The association between neighbourhood walkability and diffuse large B-cell lymphoma: A population-based Study","year":2025,"lang":"en","type":"article","venue":"Blood","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Princess Margaret Cancer Centre; Sunnybrook Health Science Centre; Institute for Clinical Evaluative Sciences; St. Michael's Hospital; University of Toronto","funders":"","keywords":"Walkability; Neighbourhood (mathematics); Population; Diffuse large B-cell lymphoma; Incidence (geometry); Built environment; Proxy (statistics)","score_opus":0.008525112032051209,"score_gpt":0.27003319606874493,"score_spread":0.26150808403669373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417004896","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944268,0.00013207263,0.00001647308,0.000637797,0.00010230254,0.00052024954,0.000023229488,0.00007368397,0.0040674326],"genre_scores_gemma":[0.9990088,0.000003693239,0.000014185161,0.000050439594,0.00009160275,0.000025264113,0.000010249681,0.000004435637,0.0007913585],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99867624,0.00022239985,0.00024803128,0.0002558385,0.00031943092,0.00027808067],"domain_scores_gemma":[0.99887794,0.000667864,0.00011394065,0.00019276697,0.00008627557,0.00006123956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015576839,0.000091656875,0.00015474792,0.000030438958,0.0012417892,0.00018328695,0.00020428326,0.00009457281,0.000013352076],"category_scores_gemma":[0.00030202154,0.00007054042,0.00005978621,0.00031756476,0.00003634893,0.0001280279,0.000024825085,0.00007842936,0.0000024041074],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005810552,0.0034528081,0.9945372,0.00000868696,0.000035312285,3.23736e-7,0.00078130374,4.3205798e-8,0.0000022331033,0.00031375093,0.000014258019,0.00084831123],"study_design_scores_gemma":[0.004852726,0.000020763942,0.9917196,0.00000427386,0.00018363426,1.4942906e-9,0.0008856309,0.0000036297245,0.000034232402,0.0016662943,0.0005531561,0.00007605869],"about_ca_topic_score_codex":0.0036785698,"about_ca_topic_score_gemma":0.01652423,"teacher_disagreement_score":0.01284566,"about_ca_system_score_codex":0.00012292246,"about_ca_system_score_gemma":0.00014436946,"threshold_uncertainty_score":0.9550964},"labels":[],"label_agreement":null},{"id":"W4417048055","doi":"10.3390/en18236259","title":"The Energy and Environmental Impacts of Free-Floating Shared E-Scooters: A Multi-City Life Cycle Assessment","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Greenhouse gas; Life-cycle assessment; Energy consumption; Environmental impact assessment; Fossil fuel; Electricity; Consumption (sociology); Efficient energy use; Energy (signal processing)","score_opus":0.014569105286360441,"score_gpt":0.2914260696508987,"score_spread":0.2768569643645382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417048055","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99578315,0.0011257817,0.00018839899,0.00048659317,0.00012340868,0.000061598366,0.00002878148,0.000030289742,0.0021720198],"genre_scores_gemma":[0.9984575,0.00026798312,0.0005712802,0.00008864292,0.00004369977,0.000007156153,0.0000072983744,0.000003830333,0.0005526376],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991438,0.00008748635,0.00020077758,0.0001660802,0.00020120046,0.00020065006],"domain_scores_gemma":[0.9994537,0.00017818052,0.00008793873,0.00020258657,0.000012331497,0.0000652222],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003397215,0.000084534244,0.000127135,0.000027532147,0.00056053716,0.000091984606,0.00027685476,0.000053826046,0.000052722477],"category_scores_gemma":[0.000108760534,0.000062887026,0.0000515999,0.00010671627,0.00041962895,0.00022145668,0.00009563596,0.000056930527,1.250151e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005674379,0.00024651387,0.95828295,0.000038483908,0.00012306355,0.0000025413535,0.009340782,0.00033635058,0.008165743,0.009416973,0.00094409287,0.013045764],"study_design_scores_gemma":[0.00072445517,0.000031054962,0.96745574,0.000055431712,0.000035933437,3.756723e-8,0.015170922,0.0010995114,0.005858729,0.0021411118,0.007255807,0.00017124349],"about_ca_topic_score_codex":0.0073426147,"about_ca_topic_score_gemma":0.013299661,"teacher_disagreement_score":0.01287452,"about_ca_system_score_codex":0.00005212207,"about_ca_system_score_gemma":0.00012453912,"threshold_uncertainty_score":0.9992676},"labels":[],"label_agreement":null},{"id":"W4417054563","doi":"10.1007/s41651-025-00244-1","title":"How Events Move Us: Estimating the Causal Effects of Special Events on Shared Micromobility","year":2025,"lang":"en","type":"article","venue":"Journal of Geovisualization and Spatial Analysis","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Fonds de Recherche du Québec-Société et Culture","keywords":"Event (particle physics); Incentive; Duration (music); Key (lock); Investment (military); Unexpected events; Affect (linguistics); Causality (physics)","score_opus":0.011089117308557227,"score_gpt":0.31465931703723066,"score_spread":0.30357019972867344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417054563","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9509244,0.000078948106,0.047536936,0.0007292669,0.00040072075,0.00015494545,0.00000819163,0.000005050157,0.00016153665],"genre_scores_gemma":[0.99904317,0.000024780988,0.0001238724,0.000092234804,0.00040159334,0.0000014465403,0.0000092047785,0.0000029968433,0.00030071597],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99842596,0.0003436462,0.000473318,0.00014811207,0.00047717927,0.00013175893],"domain_scores_gemma":[0.9986815,0.00022175918,0.00058167404,0.00011704853,0.00033207392,0.0000659735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008980968,0.00010055058,0.0003644686,0.00023635892,0.00032147006,0.00007388562,0.00020452843,0.000074213574,0.00008582058],"category_scores_gemma":[0.0006216754,0.00006905482,0.0002597469,0.00096334086,0.000109498076,0.00021518994,0.00002108204,0.00011497293,2.9154654e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000092787144,0.00021443251,0.99061173,0.000065725195,0.0005182499,0.0000023639427,0.0020417494,0.00053013116,0.000087018074,0.0002321004,0.000085659194,0.0055180322],"study_design_scores_gemma":[0.0005111939,0.00007477879,0.99104303,0.000095904295,0.0010497082,9.600742e-8,0.00032646503,0.0043537486,0.0004988621,0.0016947265,0.0002712221,0.000080247424],"about_ca_topic_score_codex":0.0018951494,"about_ca_topic_score_gemma":0.0040290575,"teacher_disagreement_score":0.048118748,"about_ca_system_score_codex":0.000061731895,"about_ca_system_score_gemma":0.00012612579,"threshold_uncertainty_score":0.28649116},"labels":[],"label_agreement":null},{"id":"W4417097905","doi":"10.48550/arxiv.2506.07582","title":"Scalable Spatiotemporal Modeling for Bicycle Count Prediction","year":2025,"lang":"en","type":"preprint","venue":"ArXiv.org","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Inference; Markov chain Monte Carlo; Bayesian inference; Metric (unit); Count data; Scalability; Bayesian probability; Covariate; Covariance; Particle filter","score_opus":0.0818909049096642,"score_gpt":0.33758510677720177,"score_spread":0.25569420186753755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417097905","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9687632,0.00028759212,0.019877616,0.0009133403,0.0018543615,0.0009570899,0.0003195821,0.0002530622,0.006774158],"genre_scores_gemma":[0.9939336,0.00007146387,0.0006043906,0.00011140229,0.0008106366,0.00015524145,0.00027087354,0.000013647609,0.0040287483],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99823844,0.000061052415,0.00042634783,0.0005931844,0.00032101228,0.0003599538],"domain_scores_gemma":[0.9990306,0.00005946562,0.00015224502,0.0003823057,0.00027661433,0.00009875928],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008676218,0.00019108539,0.00029443295,0.0000832806,0.00057966163,0.00009978704,0.00042686475,0.00043104726,0.00010350922],"category_scores_gemma":[0.0001134264,0.00020034383,0.00020188968,0.00017385454,0.00012146886,0.0002526571,0.000103670754,0.0003576464,0.0000126023015],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027667404,0.000068937996,0.99420625,0.00018311956,0.000031480184,5.0657627e-7,0.001195986,0.0030046413,0.000011993527,0.00018918948,0.0005745968,0.00050564366],"study_design_scores_gemma":[0.0012061233,0.00007042139,0.7461026,0.0009025847,0.00044895243,6.1664586e-8,0.0016296412,0.17784543,0.00056019623,0.035151698,0.034945235,0.0011370988],"about_ca_topic_score_codex":0.012789614,"about_ca_topic_score_gemma":0.00508638,"teacher_disagreement_score":0.24810368,"about_ca_system_score_codex":0.00023941866,"about_ca_system_score_gemma":0.0007837838,"threshold_uncertainty_score":0.9937843},"labels":[],"label_agreement":null},{"id":"W4417106681","doi":"10.3390/ijerph22121833","title":"Enhancing Urban Health Through a Community of Practice to Promote Active Lifestyle in a Population with Chronic Diseases: The +ACTIU Project","year":2025,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Cancer Research","funders":"Institut Català de la Salut; Universitat Ramon Llull; European Commission","keywords":"Neighbourhood (mathematics); Psychological intervention; Focus group; Metropolitan area; Population; Citizen journalism; Community-based participatory research; Photovoice; Participatory action research; Active living","score_opus":0.058488251775249696,"score_gpt":0.45154942988106767,"score_spread":0.393061178105818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417106681","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9496222,0.000765297,0.00022139643,0.048191115,0.00007783985,0.00060516177,0.000040823383,0.0000029571552,0.00047320564],"genre_scores_gemma":[0.99818385,0.00082624,0.00020819546,0.00059113465,0.00010302427,0.000012078466,0.000011432662,0.00000403116,0.000060015936],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99657774,0.0015324103,0.00042903965,0.000115914794,0.0010267887,0.0003181048],"domain_scores_gemma":[0.9986581,0.00059614336,0.00032187923,0.00011491128,0.0001337456,0.00017520088],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0052858084,0.000064629035,0.00016909724,0.00023150614,0.00047977126,0.00009038111,0.0004144507,0.000028453334,0.00002303152],"category_scores_gemma":[0.0007374822,0.000045184923,0.000029663976,0.00039546468,0.00028697684,0.0008993287,0.00006485289,0.0006325491,4.182582e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011871892,0.0034473091,0.79304236,0.00013122798,0.00018910634,0.000012722079,0.09887124,0.000008301367,0.00009654411,0.0026952473,0.00046046166,0.09985828],"study_design_scores_gemma":[0.00062287116,0.0010437245,0.94667506,0.00030890648,0.0000031045556,0.0000030600881,0.026727658,0.00000474788,0.000031233143,0.0009791139,0.023551589,0.000048951686],"about_ca_topic_score_codex":0.04463701,"about_ca_topic_score_gemma":0.03268381,"teacher_disagreement_score":0.15363266,"about_ca_system_score_codex":0.0017642278,"about_ca_system_score_gemma":0.002909492,"threshold_uncertainty_score":0.9849672},"labels":[],"label_agreement":null},{"id":"W4417212557","doi":"10.18280/ijsdp.201018","title":"Driving Sustainable Transport Infrastructure in Urban Regions of Developing Markets: Leveraging Private Sector Involvement","year":2025,"lang":"","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Private sector; Sustainable transport; Sustainable development; Transport infrastructure; Developing country; Sustainability; Urban infrastructure","score_opus":0.013683879564915215,"score_gpt":0.27004568359195225,"score_spread":0.256361804027037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417212557","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9855913,0.0023336057,0.007393327,0.001120438,0.0008502727,0.00040561004,0.000002391574,0.000012216039,0.002290856],"genre_scores_gemma":[0.99258274,0.00035466562,0.0035393864,0.00017732759,0.00018979842,0.000008220001,0.000015409476,0.000016509392,0.0031159644],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9956864,0.00015118605,0.0019572494,0.0003962741,0.0009821376,0.000826719],"domain_scores_gemma":[0.99657625,0.00025268577,0.0010935687,0.00012222651,0.0017964722,0.00015878699],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0028831265,0.00036317433,0.0006618181,0.0016857829,0.0005172459,0.0002294745,0.0009074971,0.00022552931,0.000092659],"category_scores_gemma":[0.0002592457,0.00037054013,0.00014215104,0.0012017897,0.00024223063,0.0015020662,0.00019906726,0.0006493622,1.6726364e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037475544,0.000112201014,0.88683575,0.000747478,0.0005053642,0.0022445407,0.091382295,0.00033536187,0.000036086756,0.015162654,0.00034402023,0.0019194606],"study_design_scores_gemma":[0.0013101767,0.000024153203,0.7367749,0.0028286495,0.00006376603,0.000006140185,0.21031648,0.000036791866,0.00056540954,0.0062621925,0.041483205,0.00032809592],"about_ca_topic_score_codex":0.00036967374,"about_ca_topic_score_gemma":0.000086641085,"teacher_disagreement_score":0.15006083,"about_ca_system_score_codex":0.0016652151,"about_ca_system_score_gemma":0.0041813846,"threshold_uncertainty_score":0.99987465},"labels":[],"label_agreement":null},{"id":"W4417247647","doi":"10.17269/s41997-025-01139-w","title":"Mapping change in cycling infrastructure across Canada: What, where, and for whom?","year":2025,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"Public Health Agency of Canada","keywords":"Cycling; Population; Critical infrastructure; Climate change; Transport infrastructure","score_opus":0.06962066983162438,"score_gpt":0.36177921200513224,"score_spread":0.2921585421735079,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417247647","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91448593,0.008082563,0.000288126,0.07571139,0.0010081311,0.00025102022,0.00003612046,0.0000028632035,0.00013383539],"genre_scores_gemma":[0.99554956,0.0003544645,0.00016519273,0.0035562927,0.00027833256,0.000004280965,0.0000026583887,0.0000045242127,0.00008470394],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99850714,0.00010789197,0.0004120859,0.00012160154,0.0001376367,0.0007136472],"domain_scores_gemma":[0.9984452,0.000088086796,0.00018567023,0.00007077559,0.00018175827,0.0010285074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027080635,0.00007396829,0.00023808294,0.00016004346,0.0007015371,0.00040149814,0.00023176531,0.000079834805,0.000030841536],"category_scores_gemma":[0.00030883928,0.00007338752,0.000032936445,0.0004935995,0.00015420285,0.00085552287,0.0000053562394,0.0002438161,3.8868723e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000011946363,0.0000025419968,0.81433064,0.00007634724,0.0000073671463,0.00000839306,0.024961263,8.3401613e-7,1.7812216e-7,0.0005831051,0.0016557846,0.15837234],"study_design_scores_gemma":[0.00021783807,0.000009104519,0.67576504,0.00016452809,9.371667e-7,6.189289e-7,0.024175938,0.000010081801,1.8200495e-7,0.00054548186,0.29906067,0.000049609916],"about_ca_topic_score_codex":0.97971034,"about_ca_topic_score_gemma":0.9999161,"teacher_disagreement_score":0.2974049,"about_ca_system_score_codex":0.0013644748,"about_ca_system_score_gemma":0.032773186,"threshold_uncertainty_score":0.9727101},"labels":[],"label_agreement":null},{"id":"W4417349244","doi":"10.1177/03611981251401589","title":"Improving the Accuracy of the Spatial Transferability of Direct-demand Models for Bicycle Volume Estimation at Intersections","year":2025,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Transferability; Calibration; Volume (thermodynamics); Estimation; Mathematical model; Function (biology)","score_opus":0.0780049485246904,"score_gpt":0.40766187470260873,"score_spread":0.3296569261779183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417349244","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95416826,0.00016833599,0.03516685,0.0068387175,0.0006567985,0.002395117,0.00021215866,0.00001665121,0.0003770866],"genre_scores_gemma":[0.9981816,0.00015643204,0.00046021995,0.000028772536,0.000092190545,0.000119382305,0.000012102301,0.000020679241,0.0009286659],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9930506,0.0017180743,0.0017071629,0.00036753458,0.0025343476,0.0006223264],"domain_scores_gemma":[0.99109244,0.0028509872,0.0006881277,0.00061428314,0.0046034344,0.00015073577],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.008791101,0.00019143737,0.00048158443,0.00043801754,0.0019102077,0.00008367696,0.0016161867,0.00019959932,0.00015257638],"category_scores_gemma":[0.0011560161,0.00011625902,0.00076609413,0.0022285264,0.002157984,0.00079924986,0.000012058124,0.0011360188,7.943359e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0040425365,0.00074668776,0.90384173,0.0013336159,0.0003553516,0.0000025569047,0.032038562,0.017034156,0.009471321,0.005487129,0.0022005914,0.023445746],"study_design_scores_gemma":[0.0012517252,0.00023954596,0.961552,0.000388283,0.00017549856,3.6637847e-8,0.0046666907,0.005460784,0.009438348,0.01518176,0.0015137774,0.0001315342],"about_ca_topic_score_codex":0.08636275,"about_ca_topic_score_gemma":0.39112362,"teacher_disagreement_score":0.30476087,"about_ca_system_score_codex":0.00035695164,"about_ca_system_score_gemma":0.0015187177,"threshold_uncertainty_score":0.9993892},"labels":[],"label_agreement":null},{"id":"W4417476467","doi":"10.1080/17450101.2025.2598271","title":"Spatializing sexual and gender-based violence, gendered mobilities, and the built environment","year":2025,"lang":"en","type":"article","venue":"Mobilities","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; York University","funders":"Social Sciences and Humanities Research Council; Social Sciences and Humanities Research Council of Canada; York University","keywords":"Built environment; Human sexuality; Affordance; Qualitative research; Perspective (graphical)","score_opus":0.03186216696160324,"score_gpt":0.2844566988555964,"score_spread":0.25259453189399317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417476467","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.986482,0.0053985366,0.00066154636,0.00075685733,0.00013956684,0.0005783542,0.000026090194,0.00006872357,0.0058882767],"genre_scores_gemma":[0.9973962,0.0002922769,0.00013923383,0.00031948212,0.00006653324,0.00007810807,0.000005932801,0.000006615909,0.0016956743],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984841,0.00027925233,0.0002722856,0.0003855475,0.0002664009,0.00031243963],"domain_scores_gemma":[0.9990142,0.00053243723,0.000053013166,0.0003029586,0.00002540725,0.000071982075],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0010765975,0.00015424982,0.00022777072,0.000052622745,0.0007713127,0.00013881637,0.00020243065,0.00009237615,0.00018483386],"category_scores_gemma":[0.00009128093,0.000114222705,0.000047491776,0.0000984818,0.0027286122,0.00015487694,0.000062236315,0.00013223653,0.000001608416],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029136738,0.00019435541,0.8193678,0.0005969313,0.000103591046,0.0000037821374,0.065854624,0.00008491078,0.000120611825,0.0826434,0.00022577349,0.03051281],"study_design_scores_gemma":[0.004125258,0.00011483083,0.50823045,0.00010696394,0.00024195499,4.5522515e-7,0.19112943,0.0013372108,0.0005021771,0.2598884,0.03357375,0.0007490795],"about_ca_topic_score_codex":0.010667289,"about_ca_topic_score_gemma":0.0031356995,"teacher_disagreement_score":0.31113738,"about_ca_system_score_codex":0.00007572953,"about_ca_system_score_gemma":0.00017674999,"threshold_uncertainty_score":0.9999854},"labels":[],"label_agreement":null},{"id":"W4417515637","doi":"10.1186/s12889-025-25432-y","title":"Evaluating the implementation of active transportation infrastructure during the pandemic: a RE-AIM study","year":2025,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto; McGill University; Toronto Public Health; Simon Fraser University","funders":"Canadian Institutes of Health Research; Social Sciences and Humanities Research Council; Social Sciences and Humanities Research Council of Canada; Canada Research Chairs","keywords":"Public health; Public transport; Destinations; Population; Psychological intervention; Pandemic; Negotiation; Built environment; Census","score_opus":0.09322190131790115,"score_gpt":0.4732032307734658,"score_spread":0.3799813294555647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417515637","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9936869,0.000052520158,0.00038359658,0.0039964984,0.00013788912,0.0013473638,0.00002503257,0.00003764052,0.00033254275],"genre_scores_gemma":[0.9994655,0.0000141886585,0.000066645225,0.00020211612,0.00006489101,0.00006816272,0.000015551905,0.0000037458692,0.000099182755],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99785185,0.00076576835,0.00045219183,0.00019930379,0.00045083818,0.00028006997],"domain_scores_gemma":[0.9990971,0.00021235386,0.00028173087,0.00020993914,0.00014660438,0.000052234816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003920991,0.000075675314,0.00014075787,0.000054616874,0.0010654632,0.000058924106,0.0003054034,0.00003808147,0.00015827648],"category_scores_gemma":[0.00011853856,0.000045322628,0.000052633666,0.00069386035,0.000121934514,0.00028903064,0.000008670173,0.00017313396,3.25745e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015715277,0.000037215148,0.87611276,0.0000399329,0.000016062864,3.7540975e-8,0.092594795,0.00001248538,0.000013242529,0.0005947065,0.000030068695,0.030532971],"study_design_scores_gemma":[0.00037238665,0.000043121887,0.83058184,0.0000071241057,0.0000116841065,1.1001004e-8,0.16795748,0.0000158304,0.000007576123,0.00059772487,0.00037350776,0.000031684875],"about_ca_topic_score_codex":0.016794983,"about_ca_topic_score_gemma":0.21787071,"teacher_disagreement_score":0.20107572,"about_ca_system_score_codex":0.00023448437,"about_ca_system_score_gemma":0.0023512305,"threshold_uncertainty_score":0.9897523},"labels":[],"label_agreement":null},{"id":"W4417534964","doi":"10.1016/j.puhe.2025.106110","title":"Comparing perceived and objective measures of neighbourhood built environments among youth and adults in Canada","year":2025,"lang":"en","type":"article","venue":"Public Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Statistics Canada; University of Calgary; Children's Hospital of Eastern Ontario; Public Health Agency of Canada","funders":"","keywords":"Neighbourhood (mathematics); Built environment; Level design; Physical activity; Perception; Social environment; Human factors and ergonomics","score_opus":0.047587533286436945,"score_gpt":0.280500247325368,"score_spread":0.23291271403893105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417534964","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99518204,0.00040545518,0.000025162688,0.0011858982,0.00005466368,0.00022538238,0.000012599218,0.0000063201815,0.0029024999],"genre_scores_gemma":[0.99965185,0.00014499316,0.000013151396,0.00014469102,0.000010394524,0.0000044802464,0.0000039781066,0.0000024468304,0.000024041101],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989107,0.00016160001,0.00023042927,0.00020575446,0.00020724222,0.00028422568],"domain_scores_gemma":[0.9995936,0.000052094758,0.00007820412,0.00008356784,0.00001826881,0.00017422427],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006772089,0.000065883476,0.00021035444,0.00006386836,0.00017818598,0.000024976898,0.000100210185,0.000031683212,0.000011252594],"category_scores_gemma":[0.00009135208,0.00006452127,0.000010830888,0.00018511005,0.00016753544,0.00017806995,0.000023860426,0.000109489774,5.0297544e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000064013107,0.000027677599,0.96572274,0.000033302673,0.0000059419594,2.7114757e-7,0.026454357,6.5233564e-7,9.94624e-7,0.00012778911,0.0000054899406,0.007614395],"study_design_scores_gemma":[0.0003268099,0.000008149093,0.9775937,0.00004562426,0.0000024410306,1.1621887e-8,0.021728497,0.000045705405,0.0000021548228,0.000083934625,0.000115593204,0.000047373152],"about_ca_topic_score_codex":0.9921415,"about_ca_topic_score_gemma":0.997253,"teacher_disagreement_score":0.011870979,"about_ca_system_score_codex":0.00045990583,"about_ca_system_score_gemma":0.002236637,"threshold_uncertainty_score":0.39676982},"labels":[],"label_agreement":null},{"id":"W45155206","doi":"10.4000/articulo.1824","title":"Déplacements d’accompagnement d’enfants en milieu urbain au Québec. Une expérience pénible ?","year":2011,"lang":"fr","type":"article","venue":"Articulo – revue de sciences humaines","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"SNC-Lavalin (Canada)","funders":"","keywords":"Humanities; Political science; Physics; Art","score_opus":0.04433669898179731,"score_gpt":0.30452933317268643,"score_spread":0.2601926341908891,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W45155206","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9171941,0.0026499908,0.00026162012,0.0066275885,0.0021423895,0.00055820966,0.000019829542,0.00011348839,0.07043278],"genre_scores_gemma":[0.9812959,0.00014212744,0.0023955617,0.00043827668,0.0007143465,0.00007360473,0.000004445009,0.000021430807,0.01491434],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9948818,0.0004700822,0.00088136614,0.0011146758,0.0008779821,0.0017740697],"domain_scores_gemma":[0.998096,0.000244948,0.0003638091,0.00055799546,0.0001522068,0.0005850546],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.0032784315,0.00044495543,0.00049468945,0.00016166162,0.0027044246,0.00019853741,0.0016467227,0.00020102873,0.0039107394],"category_scores_gemma":[0.00023454362,0.00041734186,0.00024770322,0.0021730377,0.0046453103,0.0016451372,0.00017911001,0.0002639771,0.00040122253],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003873745,0.00061573467,0.8098297,0.00014593292,0.00004161084,0.000056295044,0.1636936,0.000096796735,0.00047294237,0.018658098,0.0012121134,0.0051384442],"study_design_scores_gemma":[0.00097642693,0.0006060389,0.8863728,0.00052768446,0.00023524383,0.000012825727,0.038587213,0.0017758857,0.0028134265,0.013029469,0.053739395,0.0013235756],"about_ca_topic_score_codex":0.38944134,"about_ca_topic_score_gemma":0.48273128,"teacher_disagreement_score":0.1251064,"about_ca_system_score_codex":0.00086184085,"about_ca_system_score_gemma":0.0022975735,"threshold_uncertainty_score":0.99982786},"labels":[],"label_agreement":null},{"id":"W46563730","doi":"","title":"Transforming Transportation for Canada’s Fastest Growing Urban Region Metrolinx","year":2009,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Scope (computer science); Plan (archaeology); Process (computing); Context (archaeology); Agency (philosophy); Ministry of Transport; Section (typography); Transport engineering; Transportation planning; Christian ministry; Business; Process management; Environmental planning; Engineering; Computer science; Political science; Geography; Sociology","score_opus":0.022005858696472886,"score_gpt":0.2753396699539091,"score_spread":0.25333381125743626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W46563730","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93194056,0.0001313581,0.0322005,0.009165542,0.00030881734,0.0007649937,0.000020240832,0.0001674734,0.025300512],"genre_scores_gemma":[0.99707,0.0000066091447,0.00047679868,0.0006719862,0.0002082511,0.000009969913,0.000036100875,0.000006149673,0.0015141094],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989137,0.000018752264,0.00025240472,0.000216146,0.00027191426,0.0003270993],"domain_scores_gemma":[0.9996072,0.00006038384,0.00004754021,0.00008843771,0.00007484982,0.00012160155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002540629,0.00009766856,0.00014612122,0.00003807196,0.00046008654,0.000034887653,0.00015892171,0.00006900377,0.000034986384],"category_scores_gemma":[0.00002025305,0.00009187759,0.00009698099,0.00019021961,0.000039260147,0.0006306867,2.6132756e-7,0.00006565804,4.0211745e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002803823,0.00029698721,0.6279374,0.00011761416,0.000062372776,0.000045182554,0.032764863,0.000076915436,0.001832095,0.20655847,0.012481922,0.11754583],"study_design_scores_gemma":[0.002207254,0.00025187782,0.588339,0.00008069115,0.00022069793,4.2617424e-7,0.015360263,0.0001710392,0.0072369403,0.010182643,0.37488067,0.0010684973],"about_ca_topic_score_codex":0.51516205,"about_ca_topic_score_gemma":0.95930886,"teacher_disagreement_score":0.44414684,"about_ca_system_score_codex":0.00013480094,"about_ca_system_score_gemma":0.00056314666,"threshold_uncertainty_score":0.48806652},"labels":[],"label_agreement":null},{"id":"W46703469","doi":"","title":"Mobility Hub Guidelines: Tools for Achieving Successful Station Areas","year":2012,"lang":"en","type":"article","venue":"ITE journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"TRIPS architecture; Plan (archaeology); Metropolitan area; Transport engineering; Context (archaeology); Transportation planning; Placemaking; Business; Agency (philosophy); Urban planning; Computer science; Geography; Engineering; Civil engineering; Urban design","score_opus":0.10833112009030531,"score_gpt":0.402850919809646,"score_spread":0.29451979971934067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W46703469","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98032236,0.00064752327,0.013581183,0.0016530836,0.00094843225,0.00027248415,0.000025436999,0.00004139781,0.0025080796],"genre_scores_gemma":[0.9939495,0.00006083852,0.0028640404,0.00022034408,0.0024492433,0.000010367589,0.0000120571585,0.0000086585305,0.00042495248],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984555,0.00011913317,0.00047584146,0.00012874871,0.00038096122,0.0004398184],"domain_scores_gemma":[0.9986638,0.0002542291,0.00023050846,0.0001212021,0.0004728347,0.00025742123],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034819378,0.00009436949,0.00015257431,0.000047936603,0.0008049627,0.0003403716,0.00024873624,0.000081936574,0.00054395903],"category_scores_gemma":[0.0012026342,0.00007903564,0.0001460732,0.00015884575,0.0000952468,0.0026226132,0.000010590532,0.00018171065,0.0000096814165],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004270016,0.00012409383,0.9409064,0.000019726538,0.000016466925,7.991054e-7,0.0045740856,0.00001434315,0.00015360223,0.00043468396,0.0031205944,0.050592512],"study_design_scores_gemma":[0.0004210893,0.000026737123,0.8403272,0.000044047236,0.00004957743,0.0000021726812,0.0049597584,0.00003776611,0.000121279416,0.003513004,0.15030032,0.00019701323],"about_ca_topic_score_codex":0.00034173994,"about_ca_topic_score_gemma":0.00077918224,"teacher_disagreement_score":0.14717974,"about_ca_system_score_codex":0.00013493674,"about_ca_system_score_gemma":0.00019626773,"threshold_uncertainty_score":0.61912036},"labels":[],"label_agreement":null},{"id":"W48172213","doi":"","title":"Fighting teenagers' sedentarity: The challenges of mobility in exurbia","year":2008,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"","keywords":"Urban sprawl; Metropolitan area; Geography; Public transport; Rural area; Socioeconomics; Urban planning; Sociology; Political science; Transport engineering; Engineering","score_opus":0.0570087275013657,"score_gpt":0.3030235848656107,"score_spread":0.246014857364245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W48172213","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88556594,0.00043661633,0.000008266476,0.0017971214,0.000063693216,0.00015873945,0.0000011991262,0.000028702638,0.11193972],"genre_scores_gemma":[0.99909186,0.00016277566,0.0000663172,0.000056822566,0.000051603078,0.0000058594055,4.6682294e-7,0.0000024252981,0.0005618423],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990726,0.00011709779,0.00021112528,0.00016778955,0.00024731166,0.0001840417],"domain_scores_gemma":[0.9995149,0.00017230102,0.00005075489,0.00019024944,0.000037318492,0.000034489945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094518997,0.00005643399,0.0001257545,0.00002447392,0.00025294276,0.000007486538,0.00026414558,0.00005639283,0.00032520015],"category_scores_gemma":[0.000072654264,0.000036754835,0.00005683844,0.00019278015,0.0004442865,0.00017237768,0.000019812165,0.000113365466,0.000004505557],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000067906444,0.0001546197,0.9619978,0.000015987907,0.0000042117817,0.00000428502,0.026313843,0.0000015658625,0.000022202603,0.009758713,0.00006639823,0.0016535664],"study_design_scores_gemma":[0.000111920854,0.000007727876,0.9869092,0.000008974243,0.0000029270873,1.0010458e-7,0.008870492,0.000008745729,0.00024853979,0.0026551376,0.0011185118,0.000057716177],"about_ca_topic_score_codex":0.02286046,"about_ca_topic_score_gemma":0.094455935,"teacher_disagreement_score":0.11352595,"about_ca_system_score_codex":0.00003449503,"about_ca_system_score_gemma":0.00008278171,"threshold_uncertainty_score":0.9836464},"labels":[],"label_agreement":null},{"id":"W49432150","doi":"","title":"Demographic Microsimulation Model for Integrated Land Use, Transportation, and Environment Model System","year":2013,"lang":"en","type":"article","venue":"Transportation Research Board 92nd Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Microsimulation; Demographics; Population; Agent-based model; Scope (computer science); Operations research; Geography; Computer science; Economics; Transport engineering; Engineering; Demography; Artificial intelligence","score_opus":0.0736016284351974,"score_gpt":0.3617287856822683,"score_spread":0.2881271572470709,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W49432150","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94762206,0.00022695369,0.041817974,0.0020951496,0.00009318447,0.005585561,0.0019226605,0.00038799646,0.0002484285],"genre_scores_gemma":[0.98066807,0.0005550343,0.012760229,0.00006863768,0.0001375453,0.0019374924,0.0017993951,0.00012611688,0.0019474725],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99026495,0.00085916644,0.0016518906,0.0016130401,0.00354511,0.0020658178],"domain_scores_gemma":[0.99226844,0.0013606576,0.00030066958,0.00056526635,0.0044849343,0.0010200128],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0057460475,0.0005592858,0.00070072274,0.0012363382,0.0029469416,0.0006954528,0.0006969546,0.000638605,0.00016149203],"category_scores_gemma":[0.00023119032,0.0005678326,0.0003320421,0.0017053935,0.0019641817,0.0029946826,0.0000071576956,0.0012979319,0.000037222533],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013156282,0.00066925935,0.82741517,0.0014688431,0.0002098056,0.00002624073,0.055480316,0.07932837,0.0043967245,0.022730999,0.004114114,0.002844535],"study_design_scores_gemma":[0.0031710782,0.0003266922,0.74158424,0.00043793925,0.0001594177,9.233556e-8,0.022455877,0.2162302,0.00043234555,0.008608128,0.005490333,0.0011036422],"about_ca_topic_score_codex":0.045092504,"about_ca_topic_score_gemma":0.07389578,"teacher_disagreement_score":0.13690183,"about_ca_system_score_codex":0.00038809472,"about_ca_system_score_gemma":0.00085223955,"threshold_uncertainty_score":0.9996773},"labels":[],"label_agreement":null},{"id":"W49764044","doi":"","title":"Active Transportation and Obesity in Europe, North America and Australia","year":2011,"lang":"en","type":"article","venue":"ITE journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Obesity; Environmental health; Public transport; Public health; Geography; Physical activity; Government (linguistics); Socioeconomics; Medicine; Transport engineering; Economics; Engineering","score_opus":0.049638641477015945,"score_gpt":0.29772742297754134,"score_spread":0.2480887815005254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W49764044","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99852616,0.000048697493,0.00004082984,0.00006617221,0.00006314768,0.000054891323,0.0000079729725,0.0000070658384,0.0011850463],"genre_scores_gemma":[0.99929756,0.00021179083,0.00020331534,0.000029887597,0.000057515063,5.359031e-7,0.0000019499403,0.0000025871095,0.0001948801],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994499,0.000059110993,0.00013679241,0.00009929458,0.00011705452,0.00013784434],"domain_scores_gemma":[0.9997127,0.000012485243,0.000073912764,0.000030856558,0.000057730413,0.00011229247],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001403952,0.000051639676,0.000085802545,0.000041900672,0.00017542901,0.000033818153,0.000062313855,0.000029670278,0.00019314105],"category_scores_gemma":[0.000014528181,0.000045477387,0.000014316918,0.00019844084,0.00017088604,0.0004386457,0.0000018078529,0.00017530209,0.0000023774983],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002942434,0.000035220462,0.972381,0.0000029296662,0.0000038768835,0.00002937761,0.022308376,2.3905034e-7,0.0000190942,0.000034519464,0.000025075393,0.0051308763],"study_design_scores_gemma":[0.00015715249,0.000020472724,0.99649704,0.000008215393,0.000010689528,7.696638e-7,0.00092656113,8.0081526e-7,0.00001870098,0.00036477178,0.0019376342,0.00005720143],"about_ca_topic_score_codex":0.0033822746,"about_ca_topic_score_gemma":0.031225953,"teacher_disagreement_score":0.027843678,"about_ca_system_score_codex":0.000014373048,"about_ca_system_score_gemma":0.00004150323,"threshold_uncertainty_score":0.9864516},"labels":[],"label_agreement":null},{"id":"W51462631","doi":"10.1016/j.jag.2006.09.006","title":"Using satellite remote sensing to survey transport-related urban sustainability","year":2006,"lang":"en","type":"article","venue":"International Journal of Applied Earth Observation and Geoinformation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Urbanization; Sustainability; Land use; Geography; Thematic map; Work (physics); Land cover; Regional science; Environmental planning; Environmental resource management; Urban sprawl; Remote sensing; Transport engineering; Cartography; Environmental science; Civil engineering; Engineering; Economic growth; Economics","score_opus":0.029394295533130443,"score_gpt":0.2965139116027848,"score_spread":0.26711961606965434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W51462631","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96912825,0.000027415394,0.02659126,0.00093575026,0.00033193547,0.00022252713,0.000009374102,0.00002402945,0.0027294497],"genre_scores_gemma":[0.9930823,0.000017893399,0.00629858,0.00020069836,0.00018905006,1.2815012e-7,0.000068309855,0.0000054838624,0.00013756029],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998241,0.00005207027,0.0008217351,0.000105858366,0.00060992246,0.00016939858],"domain_scores_gemma":[0.99797285,0.00007129087,0.00047473318,0.00007303774,0.0013108553,0.00009723258],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017685493,0.00010115724,0.0001597462,0.0002000006,0.00019280975,0.00012672163,0.00015325843,0.00009038324,0.000033908378],"category_scores_gemma":[0.00009486761,0.0001001975,0.000061888604,0.00032461507,0.00007973457,0.000962973,0.000009621706,0.00013598721,0.0000033451306],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000979313,0.000089245754,0.5968619,0.000055461234,0.000103484716,0.00001377296,0.019672768,0.0140247345,0.00070998527,0.012546373,0.00014508107,0.3547979],"study_design_scores_gemma":[0.0004929369,0.00001550438,0.97425103,0.000026432577,0.0000148678255,0.0000020637826,0.0007019162,0.0036403516,0.00018823297,0.007840038,0.012698621,0.00012798065],"about_ca_topic_score_codex":0.0037664757,"about_ca_topic_score_gemma":0.0036607264,"teacher_disagreement_score":0.37738916,"about_ca_system_score_codex":0.00014403914,"about_ca_system_score_gemma":0.00022440351,"threshold_uncertainty_score":0.569381},"labels":[],"label_agreement":null},{"id":"W560477571","doi":"","title":"City of Kelowna's 2030 Active Transportation Program","year":2012,"lang":"en","type":"article","venue":"2012 CONFERENCE AND EXHIBITION OF THE TRANSPORTATION ASSOCIATION OF CANADA - TRANSPORTATION: INNOVATIONS AND OPPORTUNITIES","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Action plan; Sustainable transport; Business; Environmental planning; Transport engineering; Carbon footprint; Tourism; Public transport; Charter; Sustainability; Recreation; Geography; Engineering; Greenhouse gas; Political science; Economics","score_opus":0.04775601260404506,"score_gpt":0.27718657201495633,"score_spread":0.22943055941091128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W560477571","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99133646,0.0001540116,0.0004648825,0.00301599,0.0002770468,0.0006014784,0.0019518196,0.000033300013,0.0021650111],"genre_scores_gemma":[0.99725574,0.0003609289,0.00031027143,0.0001166745,0.000054764638,0.000044131717,0.0008753842,0.000012567088,0.00096952147],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974139,0.00010869452,0.0010961938,0.0001982984,0.00086060347,0.00032235906],"domain_scores_gemma":[0.9968194,0.00015142707,0.0013066388,0.00015891326,0.0014173762,0.00014625677],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071250804,0.00020260761,0.00040846926,0.00015762915,0.00038184843,0.000020370519,0.00014909846,0.00018999114,0.0004122215],"category_scores_gemma":[0.000040321287,0.00019149308,0.00010651598,0.00055146345,0.00043682384,0.0012147332,0.000001358649,0.00017534907,9.542023e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000087460794,0.0002922558,0.7863938,0.00033923562,0.00014550552,5.8743245e-7,0.018620139,0.000017230572,0.0005306101,0.18602346,0.0007122682,0.0068374295],"study_design_scores_gemma":[0.00054062187,0.000041811756,0.97659117,0.00011277439,0.00018964666,6.703259e-8,0.009447283,0.0000067953856,0.0022178646,0.0013946575,0.009255401,0.00020190586],"about_ca_topic_score_codex":0.05959834,"about_ca_topic_score_gemma":0.5720693,"teacher_disagreement_score":0.51247096,"about_ca_system_score_codex":0.000094891315,"about_ca_system_score_gemma":0.0011667797,"threshold_uncertainty_score":0.94666386},"labels":[],"label_agreement":null},{"id":"W561192149","doi":"","title":"Encouraging Equitable Access to Public Bikesharing Systems","year":2013,"lang":"en","type":"article","venue":"ITE journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Public access; Public transport; Charge (physics); Business; Political science; Public administration; Transport engineering; Engineering","score_opus":0.07449350703889823,"score_gpt":0.34595117464371583,"score_spread":0.2714576676048176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W561192149","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.949796,0.00051618746,0.0022012219,0.0054062153,0.0015181723,0.00028548867,0.0000018271994,0.00007852001,0.04019636],"genre_scores_gemma":[0.9959125,0.000027360842,0.00014074716,0.00027213662,0.0011454993,0.00001541425,7.3072e-7,0.000010327294,0.002475317],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99817604,0.00009238532,0.0003258029,0.00017695536,0.00053114485,0.0006976922],"domain_scores_gemma":[0.99885124,0.00005198004,0.0001357102,0.00014569277,0.0002989955,0.0005163713],"candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014798003,0.00009592145,0.0001595213,0.00016931951,0.0011352105,0.00403565,0.00084121886,0.00006147321,0.0018822193],"category_scores_gemma":[0.00013601872,0.00008086223,0.00007220996,0.00048321436,0.00005394813,0.0036200683,0.0000808196,0.0002761706,0.00020914842],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000031121137,0.000050556326,0.9623905,0.000021128672,0.000024787574,0.000019526302,0.0042010695,0.000086262306,0.00046188,0.0007440745,0.016278263,0.015718859],"study_design_scores_gemma":[0.00057224225,0.000043348125,0.6772268,0.000297039,0.0000382482,0.000023811703,0.01165528,0.00052814814,0.000132931,0.0054166326,0.3033507,0.0007148513],"about_ca_topic_score_codex":0.0044442913,"about_ca_topic_score_gemma":0.0008176733,"teacher_disagreement_score":0.28707242,"about_ca_system_score_codex":0.00017570709,"about_ca_system_score_gemma":0.00022136857,"threshold_uncertainty_score":0.9990302},"labels":[],"label_agreement":null},{"id":"W561734314","doi":"","title":"Settlement Patterns in the U.S. and Canada: Similarities and Differences—Policies or Preferences?","year":2003,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Urban sprawl; Smart growth; Settlement (finance); Suburbanization; Land use; Urban planning; Worry; Economic geography; Land-use planning; Transit-oriented development; Regional science; Geography; Economic growth; Political science; Economy; Economics; Engineering; Metropolitan area; Civil engineering","score_opus":0.04352768643719265,"score_gpt":0.2815765844623663,"score_spread":0.23804889802517362,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W561734314","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9841081,0.00011896904,0.000009141867,0.0020220517,0.000046528283,0.00020567949,0.000028903378,0.000008260997,0.013452403],"genre_scores_gemma":[0.9982861,0.0001960863,0.000017923474,0.0006946282,0.000019056473,0.000018881296,0.0000018145552,0.0000015995489,0.00076386775],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991884,0.00012878428,0.00012436933,0.00013627733,0.00022120756,0.00020091543],"domain_scores_gemma":[0.99968886,0.00014901425,0.000023551627,0.00007560274,0.000014765245,0.000048190246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036104443,0.0000713375,0.00009744685,0.000016927137,0.00024070471,0.00009715145,0.0001233569,0.000030785144,0.00041909493],"category_scores_gemma":[0.00004050921,0.000038401613,0.0000074450504,0.00007192781,0.00018447418,0.000105211206,0.0000096227495,0.00007080921,1.11180285e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000020846721,0.000012609949,0.98747957,0.000014071273,0.0000022907427,0.0000020047,0.007249111,3.8187196e-8,3.2002288e-7,0.004563882,0.0002958242,0.0003781694],"study_design_scores_gemma":[0.00009841556,0.000012692996,0.96126735,0.000008831705,0.0000047190974,1.6481903e-7,0.030497363,0.0000010059408,0.000010087046,0.0016760272,0.00635347,0.00006989823],"about_ca_topic_score_codex":0.901738,"about_ca_topic_score_gemma":0.99885875,"teacher_disagreement_score":0.097120754,"about_ca_system_score_codex":0.000027112543,"about_ca_system_score_gemma":0.0002761835,"threshold_uncertainty_score":0.45887956},"labels":[],"label_agreement":null},{"id":"W561890977","doi":"","title":"Examining the Anticipated Integration of Bikeshare with Travel Modes: Latent Class Model Application","year":2013,"lang":"en","type":"article","venue":"Transportation Research Board 92nd Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Latent class model; Class (philosophy); Discrete choice; Econometrics; Mixed logit; Mode (computer interface); Logit; Computer science; Logistic regression; Travel behavior; Nested logit; Travel survey; Geography; Transport engineering; Engineering; Economics; Machine learning; Artificial intelligence","score_opus":0.137475399397288,"score_gpt":0.4019478105891543,"score_spread":0.26447241119186626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W561890977","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9756564,0.000092152535,0.0120848855,0.0036398866,0.00004573846,0.0039329156,0.0003405888,0.0001806646,0.0040267506],"genre_scores_gemma":[0.99400836,0.00018582479,0.002046911,0.00005927926,0.00012493927,0.0014494084,0.00060826394,0.00007808072,0.0014389306],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98963255,0.0012935473,0.0013820111,0.0010887698,0.005036601,0.0015665301],"domain_scores_gemma":[0.9898753,0.0010946525,0.00038202482,0.0007478841,0.0073773516,0.0005227982],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.006856177,0.0003982155,0.0005581714,0.00082859554,0.0019226399,0.0003020102,0.0011687857,0.0003834139,0.000407708],"category_scores_gemma":[0.00028389442,0.00029990094,0.00018219756,0.0033956913,0.0025737495,0.0017485168,0.000011564732,0.0016255252,0.00005769472],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020074598,0.0016440814,0.62799525,0.0009923043,0.00032766175,0.000040629853,0.1951432,0.02393565,0.07961177,0.047431678,0.0050810585,0.015789293],"study_design_scores_gemma":[0.0013012632,0.00048670487,0.8788512,0.00041222305,0.0000762214,7.409419e-8,0.08875979,0.01953908,0.0056750434,0.0035178415,0.0008526399,0.00052797236],"about_ca_topic_score_codex":0.05908254,"about_ca_topic_score_gemma":0.06321029,"teacher_disagreement_score":0.25085592,"about_ca_system_score_codex":0.00022779318,"about_ca_system_score_gemma":0.0010292382,"threshold_uncertainty_score":0.9999453},"labels":[],"label_agreement":null},{"id":"W563480956","doi":"","title":"TORONTO BIKE PLAN--SHIFTING GEARS TOWARDS A MORE CYCLING FRIENDLY CITY","year":2002,"lang":"en","type":"article","venue":"ITE 2002 Annual Meeting and ExhibitInstitute of Transportation Engineers (ITE)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Plan (archaeology); TRIPS architecture; Cycling; Investment (military); Business; Transport engineering; Process (computing); Public transport; Engineering; Operations management; Environmental planning; Geography; Political science; Computer science","score_opus":0.017594477694170493,"score_gpt":0.2599573670020065,"score_spread":0.242362889307836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W563480956","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97505,0.0022058303,0.0011531902,0.00035809362,0.0004326319,0.00028544778,0.00037931048,0.00026168494,0.019873815],"genre_scores_gemma":[0.99502355,0.0004261734,0.003613339,0.00008278718,0.0003033767,0.00001198807,0.000092573675,0.000026392852,0.00041979735],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99761194,0.000050955183,0.000724137,0.00049271545,0.0005522109,0.0005680479],"domain_scores_gemma":[0.99896586,0.00011505122,0.0002395926,0.00018483444,0.00020675392,0.00028789358],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00074029854,0.00029274603,0.00041084134,0.00011601905,0.00048692132,0.000067239554,0.00022736093,0.00022877163,0.0003295504],"category_scores_gemma":[0.00012825277,0.00031170162,0.00017350462,0.0003712319,0.00033569077,0.0010805929,0.000005698023,0.00023895061,0.000004833167],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026472585,0.00092958054,0.28854626,0.0014529602,0.00041076474,0.00023630864,0.59323716,0.01324561,0.0027839204,0.0044152886,0.002972656,0.09150473],"study_design_scores_gemma":[0.009058268,0.0007002944,0.525528,0.0039866585,0.0012752826,0.00001091553,0.20127606,0.013233443,0.006412611,0.00027577952,0.23233305,0.00590965],"about_ca_topic_score_codex":0.00905986,"about_ca_topic_score_gemma":0.008287654,"teacher_disagreement_score":0.39196113,"about_ca_system_score_codex":0.000075155156,"about_ca_system_score_gemma":0.000067905414,"threshold_uncertainty_score":0.9999335},"labels":[],"label_agreement":null},{"id":"W564553463","doi":"","title":"Metros and Gentrification In Montreal - A Survival Analysis Approach","year":2012,"lang":"en","type":"article","venue":"Transportation Research Board 91st Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Gentrification; Economic geography; Public transport; Transit (satellite); Urban transit; Rail transit; Regional science; Rapid transit; Geography; Sociology; Transport engineering; Civil engineering; Engineering","score_opus":0.09519568239898918,"score_gpt":0.4139929610813148,"score_spread":0.3187972786823256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W564553463","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9846515,0.0009586876,0.0012500176,0.0009306507,0.00015441932,0.0019207997,0.00027805413,0.00016851831,0.009687357],"genre_scores_gemma":[0.99472946,0.0008240061,0.0014277531,0.00002693846,0.00036730248,0.0005241401,0.0007556108,0.000053504886,0.0012912829],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9866502,0.003050354,0.0013481599,0.0012174814,0.005089131,0.0026446315],"domain_scores_gemma":[0.99448025,0.0013509947,0.00022010562,0.00059326866,0.0021801395,0.0011752204],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.020557595,0.00039159664,0.0007641328,0.0030692169,0.0016408158,0.0002981103,0.0007496107,0.00049832475,0.00049750204],"category_scores_gemma":[0.0005297784,0.00041100476,0.00031101386,0.009318414,0.0018543109,0.0021412978,0.0000133167105,0.0017237505,0.000052509135],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004113187,0.0007041603,0.9347485,0.00015728908,0.00018368229,0.000017636898,0.053159177,0.0001707127,0.00020024745,0.008200387,0.0002624521,0.0017844376],"study_design_scores_gemma":[0.00096084335,0.000077594304,0.9501538,0.000037179736,0.00015412543,2.845002e-8,0.04335802,0.00015272902,0.00010807476,0.00071241177,0.0038989391,0.00038622817],"about_ca_topic_score_codex":0.23012257,"about_ca_topic_score_gemma":0.40310052,"teacher_disagreement_score":0.17297795,"about_ca_system_score_codex":0.0004013096,"about_ca_system_score_gemma":0.00047494558,"threshold_uncertainty_score":0.9998342},"labels":[],"label_agreement":null},{"id":"W564593753","doi":"","title":"Financial and Climate Crises: The Situation in Greater Montreal","year":2009,"lang":"en","type":"article","venue":"Public transport international","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Public transport; Finance; Government (linguistics); Recession; Stock (firearms); Business; Order (exchange); Economic growth; Economic policy; Economics; Transport engineering; Engineering; Geography","score_opus":0.025981956604955638,"score_gpt":0.28869124819922776,"score_spread":0.26270929159427214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W564593753","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9570871,0.00004297357,0.00021898214,0.018484546,0.00024192275,0.00015767153,0.000030869964,0.000043079996,0.023692831],"genre_scores_gemma":[0.99876624,0.000070880735,0.000042121083,0.000619956,0.00022560278,0.000011782602,0.000055035995,0.0000030823824,0.00020527505],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99897486,0.0000315929,0.00022843653,0.00020019012,0.00033005865,0.00023486963],"domain_scores_gemma":[0.9997187,0.00002518522,0.000048867238,0.00008227318,0.00007544072,0.000049504717],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005445278,0.00007919454,0.000088059685,0.000083821156,0.00019616658,0.00008667143,0.00025959458,0.00006521818,0.00031783048],"category_scores_gemma":[0.000036245732,0.0000607763,0.000047166297,0.00016429754,0.00012662144,0.00060718734,0.0000040784676,0.00011665265,0.000004415257],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003101188,0.00007028956,0.9587709,0.0000016871975,0.0000038174944,0.000007016669,0.0047473684,0.0000026998769,0.000005014151,0.021993946,0.00007314464,0.014293131],"study_design_scores_gemma":[0.0002987468,0.00000975503,0.98599535,0.00000635568,0.0000054395946,3.1443176e-7,0.00019836523,0.00004144274,0.000004812591,0.005643114,0.00772415,0.00007214111],"about_ca_topic_score_codex":0.0018754085,"about_ca_topic_score_gemma":0.036109544,"teacher_disagreement_score":0.04167914,"about_ca_system_score_codex":0.00004991624,"about_ca_system_score_gemma":0.000092403956,"threshold_uncertainty_score":0.9814789},"labels":[],"label_agreement":null},{"id":"W565261342","doi":"","title":"Home Location and Commuting Trade-offs of Two-Commuter Households: Case of National Capital Region of Canada","year":2014,"lang":"en","type":"article","venue":"Transportation Research Board 93rd Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mode choice; Modal; Speculation; Transport engineering; Mode (computer interface); Demographic economics; Transit (satellite); Geography; Capital (architecture); Business; Economics; Economic geography; Public transport; Engineering; Finance; Computer science","score_opus":0.05900291601299004,"score_gpt":0.3709759713987837,"score_spread":0.3119730553857937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W565261342","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946828,0.00018627675,0.0006843107,0.0013306504,0.00010939018,0.0010242026,0.00038469068,0.0000525228,0.0015451763],"genre_scores_gemma":[0.9985566,0.00012541402,0.00073837815,0.000028954193,0.0001320141,0.0000705878,0.00016659856,0.000046582572,0.0001348459],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99030006,0.0018808531,0.0017288179,0.00068638346,0.0043775523,0.0010263082],"domain_scores_gemma":[0.9909615,0.0023907106,0.0005810347,0.0004587735,0.0051477067,0.00046030193],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.010157558,0.0002872421,0.0006828814,0.00071550853,0.0009983314,0.00005319891,0.0006442375,0.0002620778,0.00007436673],"category_scores_gemma":[0.0007214911,0.0003058186,0.00016034527,0.0021865028,0.0025494518,0.00080566265,0.000014312543,0.0009651256,8.541079e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008908694,0.00065978797,0.83701557,0.0023625523,0.00016402082,0.00020408744,0.09125319,0.0013063966,0.0024025298,0.05863057,0.0012778296,0.0038326022],"study_design_scores_gemma":[0.0025017217,0.00052404776,0.93412066,0.0006382391,0.00005741482,0.0000023251864,0.048465803,0.00038225387,0.0047082985,0.006903344,0.0011940713,0.0005017959],"about_ca_topic_score_codex":0.74355054,"about_ca_topic_score_gemma":0.9061266,"teacher_disagreement_score":0.16257606,"about_ca_system_score_codex":0.00024309935,"about_ca_system_score_gemma":0.0023651123,"threshold_uncertainty_score":0.9999394},"labels":[],"label_agreement":null},{"id":"W566427787","doi":"","title":"Validating Walkability Indices: How Do Different Households Respond to the Walkability of Their Neighbourhood?","year":2011,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Walkability; TRIPS architecture; Neighbourhood (mathematics); Pedestrian; Built environment; Transport engineering; Geography; Destinations; Environmental health; Tourism; Medicine; Engineering","score_opus":0.05304804167185696,"score_gpt":0.2614251459106131,"score_spread":0.20837710423875616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W566427787","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9628261,0.000081504986,0.0000028575714,0.00034220933,0.00057387084,0.0012927549,0.00083323935,0.0002672171,0.03378028],"genre_scores_gemma":[0.99877495,0.00002569927,0.00034887603,0.00024951884,0.00009188461,0.00010431414,0.000013760748,0.00006319064,0.00032783474],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9934701,0.0018950519,0.001017162,0.0012569822,0.0012516517,0.0011090618],"domain_scores_gemma":[0.9956796,0.0008850811,0.000583133,0.001779132,0.00044863694,0.0006244092],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0064723524,0.00056942116,0.00077809545,0.00015423445,0.002455352,0.00017607973,0.002200466,0.00042915327,0.0010784566],"category_scores_gemma":[0.0020177497,0.00039637322,0.0005164369,0.0012366341,0.00077844085,0.001276199,0.00038888448,0.0009934022,0.000035987017],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008162729,0.002218748,0.6870423,0.0003264663,0.00028816747,0.00001986486,0.006045484,0.0000073843376,0.016324254,0.0823106,0.000011236772,0.2045892],"study_design_scores_gemma":[0.0007088626,0.00029426135,0.83930486,0.00013729023,0.00013248634,0.000001100447,0.0055454527,0.0000037207735,0.07940292,0.059366938,0.014232831,0.0008692866],"about_ca_topic_score_codex":0.00604578,"about_ca_topic_score_gemma":0.018013678,"teacher_disagreement_score":0.20371991,"about_ca_system_score_codex":0.0006122976,"about_ca_system_score_gemma":0.0001208263,"threshold_uncertainty_score":0.999905},"labels":[],"label_agreement":null},{"id":"W566470494","doi":"10.3141/2500-15","title":"Investigating the Role of Built Environment and Lifestyle Choices in Active Travel for Weekly Home-Based Nonwork Trips","year":2015,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Nova Scotia Department of Energy","keywords":"TRIPS architecture; Built environment; Travel behavior; Socioeconomic status; Mode choice; Travel survey; Ordered probit; Probit; Nova scotia; Transport engineering; Geography; Psychology; Demographic economics; Public transport; Demography; Engineering; Economics; Population; Sociology; Econometrics; Civil engineering","score_opus":0.1117762012274423,"score_gpt":0.392627223531036,"score_spread":0.2808510223035937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W566470494","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.991202,0.00057563337,0.0004538639,0.005791304,0.00015460906,0.0015310225,0.000086291126,0.000008761279,0.00019649985],"genre_scores_gemma":[0.99772096,0.00031508246,0.0013993055,0.0000322138,0.00016825343,0.000120209814,0.000012999245,0.000026916261,0.0002040549],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9931265,0.001510471,0.0011932529,0.00035166446,0.0030989742,0.00071910577],"domain_scores_gemma":[0.9949782,0.0022199003,0.000548276,0.00030857546,0.0015025976,0.00044244924],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010420887,0.00018613681,0.00043233804,0.0005377055,0.00069892366,0.00010127963,0.0010070034,0.00018590581,0.000059066635],"category_scores_gemma":[0.00049048784,0.00012842368,0.00024490367,0.0014531305,0.0018742246,0.00067575194,0.000005045549,0.0013165993,0.0000015459045],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010838534,0.00024989413,0.96748734,0.000113910326,0.000051224713,0.000005640017,0.019511208,0.0006734072,0.0012130109,0.0013343988,0.0002057464,0.0080703525],"study_design_scores_gemma":[0.0020304094,0.0004081551,0.9470789,0.00022497305,0.000041449006,2.9251442e-8,0.02555853,0.00018219659,0.0023994606,0.015290811,0.006649129,0.00013598477],"about_ca_topic_score_codex":0.042485442,"about_ca_topic_score_gemma":0.16942379,"teacher_disagreement_score":0.12693834,"about_ca_system_score_codex":0.00023873174,"about_ca_system_score_gemma":0.001516446,"threshold_uncertainty_score":0.96389073},"labels":[],"label_agreement":null},{"id":"W56652023","doi":"","title":"Native women, the built environment and community well-being : a comparative study of two James Bay Cree communities","year":2002,"lang":"en","type":"dissertation","venue":"Spectrum Research Repository (Concordia University)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Built environment; Bay; Geography; Engineering; Civil engineering; Archaeology","score_opus":0.05865298327473257,"score_gpt":0.3297086845352656,"score_spread":0.271055701260533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W56652023","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8004574,0.00017423299,0.00000130583,0.00008910052,0.00013796524,0.0010332969,0.000009906435,0.000033448152,0.1980633],"genre_scores_gemma":[0.97314197,0.0002943213,0.0000024121769,0.0000043481255,0.000094322866,0.00001661149,0.000028627523,0.000018388586,0.026399],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9892643,0.008191879,0.00036264607,0.00035443917,0.0011841645,0.0006425374],"domain_scores_gemma":[0.9964509,0.0018961806,0.00034327435,0.00081902725,0.00026552932,0.0002251077],"candidate_categories":["metaepi_narrow","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0025003387,0.0003003479,0.00060154253,0.00055330637,0.006549676,0.00019048076,0.0016325035,0.00018960627,0.00023716108],"category_scores_gemma":[0.000043504908,0.00027608866,0.00012066192,0.0007871691,0.002433869,0.00041444373,0.00027214616,0.0027814019,0.0000054007646],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003565784,0.00097627315,0.3594666,0.00008128075,0.00033172508,0.00005365491,0.6375228,0.000008105691,0.00005426535,0.00092360866,0.000091268215,0.00013379048],"study_design_scores_gemma":[0.00065834576,0.0006110278,0.25427926,0.00006770716,0.00007041575,2.9687982e-7,0.7391861,0.000011886583,0.0003613594,0.0009945387,0.0035468973,0.00021215965],"about_ca_topic_score_codex":0.39985317,"about_ca_topic_score_gemma":0.6105845,"teacher_disagreement_score":0.2107313,"about_ca_system_score_codex":0.00089685124,"about_ca_system_score_gemma":0.00039448554,"threshold_uncertainty_score":0.9999691},"labels":[],"label_agreement":null},{"id":"W566530194","doi":"","title":"Potential Contributions of Walking Towards Physical Activity Guidelines of Seniors","year":2014,"lang":"en","type":"article","venue":"Transportation Research Board 93rd Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Physical activity; License; Possession (linguistics); Compliance (psychology); Public transport; Order (exchange); Transport engineering; Computer science; Psychology; Physical medicine and rehabilitation; Engineering; Business; Medicine; Social psychology","score_opus":0.06849265418615094,"score_gpt":0.4493676267949296,"score_spread":0.3808749726087787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W566530194","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9884364,0.00008237194,0.0033457184,0.0030093493,0.00022831325,0.001417719,0.0009039727,0.0001638242,0.0024123113],"genre_scores_gemma":[0.9969087,0.0001786187,0.0013731155,0.00001888974,0.0005479736,0.00014373215,0.00021296927,0.00005611106,0.00055985065],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9866766,0.0027730279,0.0014805414,0.0010079617,0.006411765,0.0016501014],"domain_scores_gemma":[0.98361117,0.001537597,0.00050560804,0.00066035474,0.013032315,0.0006529801],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.013908417,0.00037193077,0.00093065714,0.001055258,0.0013679859,0.00010019147,0.0010808954,0.0004202162,0.00031233084],"category_scores_gemma":[0.0023632273,0.0003723189,0.00055388245,0.003106194,0.0032946896,0.0010864363,0.000019130453,0.0014477678,0.000019787603],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005665397,0.0058539845,0.4433899,0.0030415289,0.000687796,0.000118262535,0.13138111,0.003690845,0.19614875,0.10308668,0.0054539293,0.10148183],"study_design_scores_gemma":[0.0018249367,0.00059338135,0.9160196,0.00037840995,0.000111297864,6.3395774e-8,0.015308802,0.00059680204,0.049067736,0.0071036173,0.008476667,0.0005186399],"about_ca_topic_score_codex":0.06417897,"about_ca_topic_score_gemma":0.023599671,"teacher_disagreement_score":0.47262976,"about_ca_system_score_codex":0.00019761152,"about_ca_system_score_gemma":0.0014006953,"threshold_uncertainty_score":0.9999321},"labels":[],"label_agreement":null},{"id":"W567816818","doi":"","title":"Spatial accessibility measures based on spatial choice interaction modeling and socio-economic characteristics : an application to the Alberta video lottery terminal industry","year":2011,"lang":"en","type":"book","venue":"UMI eBooks","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Lottery; Terminal (telecommunication); Geography; Computer science; Telecommunications; Economics; Microeconomics","score_opus":0.04378036222769976,"score_gpt":0.30470943373881826,"score_spread":0.2609290715111185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W567816818","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7645336,0.000016810069,0.018749569,0.0006691521,0.0018121526,0.0029652442,0.00026141715,0.00019548625,0.21079661],"genre_scores_gemma":[0.97656614,0.000001651941,0.000031023807,0.00054935034,0.0028185456,0.00013223424,0.00015494299,0.00004648142,0.019699614],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9974858,0.0002336274,0.0006173408,0.00090002036,0.00039413644,0.00036907842],"domain_scores_gemma":[0.9982275,0.0002342619,0.00043951182,0.00071671366,0.00012012765,0.00026189513],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009529066,0.00039081025,0.00042384517,0.000117314405,0.0007295446,0.00029597932,0.0006985791,0.0008543033,0.0001814283],"category_scores_gemma":[0.00009218972,0.0003372949,0.00013135576,0.000021508324,0.0003013529,0.0002750186,0.000068378075,0.0010920133,0.000037578364],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014874153,0.00038124996,0.18421473,0.00031619045,0.00014680925,0.000009565399,0.022246728,0.00033975253,0.00011756188,0.0007989147,0.000864,0.7890771],"study_design_scores_gemma":[0.0030220954,0.0011999769,0.45825037,0.0017368841,0.0017407129,0.0000046184305,0.0018833351,0.17894265,0.00052867876,0.016859895,0.32955158,0.0062791985],"about_ca_topic_score_codex":0.061963152,"about_ca_topic_score_gemma":0.16392179,"teacher_disagreement_score":0.7827979,"about_ca_system_score_codex":0.0005724166,"about_ca_system_score_gemma":0.0009608846,"threshold_uncertainty_score":0.9999079},"labels":[],"label_agreement":null},{"id":"W569169580","doi":"","title":"Example of a Collaborative Multi-Stakeholder Approach to Transportation Master Planning - The Development of the Halton Region Transportatio Master Plan (2031) - The Road to Change","year":2012,"lang":"en","type":"article","venue":"2012 CONFERENCE AND EXHIBITION OF THE TRANSPORTATION ASSOCIATION OF CANADA - TRANSPORTATION: INNOVATIONS AND OPPORTUNITIES","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stakeholder; Plan (archaeology); Christian ministry; Strategic planning; Master plan; Transportation planning; Business; Transport engineering; Ministry of Transport; Public administration; Development plan; Steering committee; Process (computing); Process management; Public relations; Engineering; Engineering management; Political science; Geography; Marketing; Computer science; Civil engineering","score_opus":0.23812783915717217,"score_gpt":0.28635922614108844,"score_spread":0.04823138698391627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W569169580","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98571366,0.00016160031,0.004907243,0.0059098513,0.0002579551,0.0014673955,0.0010489505,0.000014180293,0.0005191392],"genre_scores_gemma":[0.99750686,0.000036633,0.00065336295,0.0005083787,0.00004913656,0.00017921053,0.00041800694,0.000016847389,0.00063154567],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99689925,0.0001863858,0.0013511608,0.00024666707,0.0009822977,0.00033421782],"domain_scores_gemma":[0.99695295,0.00015459646,0.0012750103,0.00026690276,0.0012262745,0.00012426426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011350261,0.0002446482,0.0003952729,0.0001460013,0.00073909655,0.000030344137,0.0003137821,0.00014425401,0.00005762012],"category_scores_gemma":[0.000028962677,0.00016076474,0.00009257906,0.00095578126,0.00033782932,0.00072058383,0.0000030913432,0.0001872042,9.863211e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014390801,0.00021948483,0.6060745,0.00034644283,0.0001671292,3.446755e-7,0.34698927,0.00028122592,0.0005075852,0.042167157,0.0006993261,0.0024035992],"study_design_scores_gemma":[0.0004690596,0.000026488851,0.9465407,0.00019734808,0.00015562725,8.240002e-8,0.044138357,0.000013542583,0.0014363449,0.00012567229,0.0067100036,0.0001867531],"about_ca_topic_score_codex":0.029395903,"about_ca_topic_score_gemma":0.46879658,"teacher_disagreement_score":0.43940067,"about_ca_system_score_codex":0.00008394243,"about_ca_system_score_gemma":0.0010537915,"threshold_uncertainty_score":0.9770674},"labels":[],"label_agreement":null},{"id":"W569826971","doi":"","title":"Accessibility to Urban Parks in Montreal from the Perspective of Children","year":2013,"lang":"en","type":"article","venue":"Transportation Research Board 92nd Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal; McMaster University","funders":"","keywords":"Perspective (graphical); Distribution (mathematics); Environmental planning; Order (exchange); Geography; Population; Urban park; Urban planning; Business; Environmental resource management; Regional science; Sociology; Civil engineering; Environmental science; Engineering","score_opus":0.043743595612061745,"score_gpt":0.3932328638186285,"score_spread":0.34948926820656673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W569826971","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97941244,0.00031773525,0.00008771204,0.009452476,0.000115155904,0.004386446,0.0007635829,0.00010964571,0.005354815],"genre_scores_gemma":[0.99706155,0.00015519596,0.00054514094,0.000119383774,0.00034893682,0.00075431156,0.0002800702,0.00005179756,0.00068361504],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9876368,0.0026292624,0.0015249107,0.0014711877,0.0048691905,0.001868632],"domain_scores_gemma":[0.9899334,0.0026004454,0.00024055765,0.00089906034,0.0055507994,0.00077573775],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008872216,0.00038170186,0.00065366406,0.0008132381,0.0013097171,0.00032002077,0.0019186947,0.00038485037,0.0018982664],"category_scores_gemma":[0.0012231341,0.0003221174,0.00028823165,0.0043640267,0.0023035302,0.0015878539,0.000026625798,0.0018944312,0.00015696489],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004522389,0.00044778333,0.89659756,0.000036356578,0.000059198996,0.000013931936,0.09233283,0.00009682827,0.00053417124,0.0025817007,0.0050865156,0.0017608991],"study_design_scores_gemma":[0.00088482903,0.00017353061,0.9236072,0.000152858,0.000020634541,1.0324894e-8,0.06414716,0.000018422877,0.000550618,0.009319234,0.00082376174,0.0003017867],"about_ca_topic_score_codex":0.7813494,"about_ca_topic_score_gemma":0.68901813,"teacher_disagreement_score":0.09233127,"about_ca_system_score_codex":0.00047867998,"about_ca_system_score_gemma":0.00095277117,"threshold_uncertainty_score":0.99999046},"labels":[],"label_agreement":null},{"id":"W571795577","doi":"","title":"Toronto Walking Strategy","year":2013,"lang":"en","type":"article","venue":"2013 CONFERENCE AND EXHIBITION OF THE TRANSPORTATION ASSOCIATION OF CANADA - TRANSPORTATION: BETTER - FASTER - SAFER","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transport engineering; Public transport; Business; Plan (archaeology); Sustainable transport; Action plan; Traffic congestion; Dependency (UML); Finance; Environmental planning; Sustainability; Engineering; Geography; Economics","score_opus":0.01207962056019031,"score_gpt":0.22975698559977725,"score_spread":0.21767736503958696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W571795577","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9822236,0.00008130372,0.00045350616,0.013127846,0.00032351437,0.0005828239,0.00026254408,0.000029706562,0.0029151817],"genre_scores_gemma":[0.99645567,0.0000570828,0.00013835661,0.0007291343,0.00007650528,0.000044046934,0.0001971124,0.000015104633,0.0022870153],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99726415,0.00015101559,0.0009089799,0.0003031298,0.0010215072,0.00035124487],"domain_scores_gemma":[0.99796104,0.00013704179,0.0007395977,0.00021339837,0.00080426474,0.00014468194],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00039538083,0.0002132423,0.00035536208,0.00004454259,0.0003223384,0.000060037815,0.0002565143,0.00018538303,0.0036147172],"category_scores_gemma":[0.000019742392,0.00018926749,0.00014108351,0.00020775934,0.00016705027,0.0012068842,0.0000018859066,0.00015967133,0.0000025857723],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060663875,0.00014796965,0.9445927,0.00022861852,0.00018581834,0.0000018932459,0.020040672,0.000129499,0.0026978017,0.009251119,0.015931405,0.0067318296],"study_design_scores_gemma":[0.00058761315,0.000027598846,0.9884219,0.000095036026,0.0000893332,3.763448e-8,0.00350592,0.000024476,0.0011330798,0.0017013223,0.0041890866,0.00022458562],"about_ca_topic_score_codex":0.5580316,"about_ca_topic_score_gemma":0.96382374,"teacher_disagreement_score":0.40579212,"about_ca_system_score_codex":0.00021630361,"about_ca_system_score_gemma":0.0007008863,"threshold_uncertainty_score":0.9972961},"labels":[],"label_agreement":null},{"id":"W572067271","doi":"","title":"HOW TO FILL THOSE EMPTY SEATS","year":2003,"lang":"en","type":"article","venue":"Metrologia","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Advertising; Business; Service (business); Marketing; Fell; Transport engineering; Computer science; Engineering; History; Geography","score_opus":0.04659483268347237,"score_gpt":0.32235990828869876,"score_spread":0.2757650756052264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W572067271","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9391419,0.00018272895,0.0010087817,0.002507151,0.000344391,0.00018419084,0.0000068929007,0.00011262631,0.0565113],"genre_scores_gemma":[0.9889796,0.000006079762,0.0018029405,0.0006421058,0.00009426643,0.000013314292,0.0000018981749,0.00000509091,0.008454734],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988833,0.00018116659,0.00009538958,0.00025350548,0.00023497335,0.00035164427],"domain_scores_gemma":[0.9994758,0.00007227357,0.00003226281,0.0002074584,0.000056848283,0.00015540024],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008694345,0.000084446954,0.0001395667,0.0000508504,0.00026554978,0.000096668264,0.00024613194,0.00009899164,0.0005696443],"category_scores_gemma":[0.00064788153,0.00006876879,0.000067835645,0.00043451696,0.000114108254,0.0001688896,0.000011414508,0.000103148835,0.00007203061],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011123368,0.00005624426,0.985057,0.0000034053214,0.000009469423,0.0000080173,0.0012662469,0.0000015986524,0.0002034031,0.0062383804,0.0045262547,0.0026188819],"study_design_scores_gemma":[0.00020658532,0.00008040351,0.5377948,0.000003291324,0.000018443461,1.0892298e-7,0.0011347895,0.0000013545323,0.0015350855,0.0041959113,0.4548194,0.00020974543],"about_ca_topic_score_codex":0.0003490894,"about_ca_topic_score_gemma":0.0018384354,"teacher_disagreement_score":0.45029318,"about_ca_system_score_codex":0.000049800674,"about_ca_system_score_gemma":0.00006448038,"threshold_uncertainty_score":0.6237206},"labels":[],"label_agreement":null},{"id":"W573199965","doi":"10.21949/1503571","title":"Community-Oriented BRT: Urban Design, Amenities, and Placemaking","year":2015,"lang":"en","type":"article","venue":"Rosa P: A digital library for transportation research (United States Department of Transportation)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"U.S. Department of Transportation","keywords":"Placemaking; Realm; Bus rapid transit; Public space; Public transport; Resource (disambiguation); Transit system; Community design; Public relations; Sociology; Urban design; Urban planning; Geography; Transport engineering; Political science; Computer science; Engineering; Architectural engineering; Transit (satellite); Civil engineering; Archaeology","score_opus":0.09657162357472933,"score_gpt":0.343770183215015,"score_spread":0.2471985596402857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W573199965","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88046414,0.0002873496,0.01125656,0.0009221029,0.00010211497,0.0020474282,0.10434051,0.00029958415,0.0002802422],"genre_scores_gemma":[0.79694563,0.000089843015,0.0023047826,0.00009539699,0.000045280744,0.0002445786,0.1995507,0.00005248671,0.00067128695],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9964326,0.00041907674,0.00082972227,0.00041531815,0.0011893363,0.00071394385],"domain_scores_gemma":[0.99722147,0.000999118,0.00024370945,0.00028327914,0.0006760286,0.0005763688],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012609328,0.00028907662,0.00039837198,0.00056192186,0.0009482093,0.0003563437,0.0004188737,0.00016575269,0.00007155391],"category_scores_gemma":[0.00008332388,0.00030427426,0.00015688792,0.0016991264,0.0009782814,0.0038217998,0.0000061148776,0.00043961804,0.0000047569624],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008572545,0.0038668548,0.5107232,0.0018891845,0.0007628255,0.00013203819,0.20700583,0.00092109427,0.000023751001,0.109708555,0.15172221,0.0046719564],"study_design_scores_gemma":[0.0030011227,0.001079998,0.026023244,0.00018692762,0.000110536406,2.1104478e-7,0.043058887,0.0003817424,0.0006473493,0.015405893,0.9095433,0.00056083896],"about_ca_topic_score_codex":0.00026312907,"about_ca_topic_score_gemma":0.0012638732,"teacher_disagreement_score":0.757821,"about_ca_system_score_codex":0.00007227106,"about_ca_system_score_gemma":0.0005112357,"threshold_uncertainty_score":0.99994093},"labels":[],"label_agreement":null},{"id":"W573267276","doi":"","title":"The Canadian Perspective on Transport Planning","year":2007,"lang":"en","type":"article","venue":"Community Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Equity (law); Public transport; Social exclusion; Social equality; Transportation planning; Perspective (graphical); Public economics; Economic growth; Geography; Development economics; Demographic economics; Economics; Political science; Transport engineering; Engineering","score_opus":0.05073002018553255,"score_gpt":0.35978333395334966,"score_spread":0.3090533137678171,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W573267276","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.869424,0.00008662569,0.00035638214,0.0013902986,0.00021883128,0.00023615282,0.0000170863,0.000087455854,0.12818316],"genre_scores_gemma":[0.9990934,0.000011159702,0.000035900284,0.00027135495,0.00008609635,0.000006315979,0.00008500313,0.000010855938,0.0003999094],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987049,0.00013471232,0.00024478242,0.0001218891,0.00035524464,0.0004384658],"domain_scores_gemma":[0.99880403,0.00039022043,0.00006434067,0.00029667834,0.00019717774,0.0002475393],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002657846,0.000110308174,0.000100780024,0.00009140276,0.0065169716,0.00005803111,0.00046640274,0.00012439652,0.000050938183],"category_scores_gemma":[0.000043351814,0.00009410728,0.000085314045,0.00035866565,0.0004411636,0.00021033958,6.53269e-7,0.0006875566,0.000010809125],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011192757,0.000087585846,0.6881916,0.0000055053833,0.000022279559,0.00002177236,0.18220195,0.000051189203,0.000012865284,0.12732844,0.00007284239,0.0018920786],"study_design_scores_gemma":[0.00014972793,0.000030527543,0.91914177,0.00001754066,0.000016542343,3.768373e-8,0.056818005,0.0000011006372,0.00006298254,0.010399749,0.01324883,0.00011316763],"about_ca_topic_score_codex":0.846611,"about_ca_topic_score_gemma":0.99812746,"teacher_disagreement_score":0.23095022,"about_ca_system_score_codex":0.0004934576,"about_ca_system_score_gemma":0.00036946716,"threshold_uncertainty_score":0.9947764},"labels":[],"label_agreement":null},{"id":"W573624522","doi":"","title":"Evolution of Modal Captivity and Mode Choice Patterns for Commuting Trips: Longitudinal Analysis by Using Cross-Sectional Data Sets","year":2013,"lang":"en","type":"article","venue":"Transportation Research Board 92nd Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Pooling; Mode choice; Captivity; Econometrics; Revealed preference; Modal; Mode (computer interface); Preference; Set (abstract data type); Geography; Computer science; Statistics; Economics; Mathematics; Engineering; Artificial intelligence; Transport engineering","score_opus":0.1767139646208539,"score_gpt":0.48023577662086775,"score_spread":0.3035218120000138,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W573624522","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9783143,0.0002766112,0.011305078,0.00044018065,0.00010495947,0.002382929,0.006915652,0.00010732307,0.00015298945],"genre_scores_gemma":[0.9941106,0.00010226111,0.0021877356,0.000010349412,0.00019859461,0.00027409845,0.0028015513,0.000052513824,0.00026232947],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99001926,0.0013120141,0.0015356507,0.0015497005,0.0039687147,0.0016146713],"domain_scores_gemma":[0.9901985,0.0023825518,0.00042472788,0.0008270598,0.0055309846,0.0006361968],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.010182435,0.00036625116,0.0007103136,0.0012126784,0.0025524043,0.00046485473,0.0012476733,0.00043625894,0.00043080738],"category_scores_gemma":[0.0008079316,0.00039392628,0.00029974573,0.0029610102,0.0021142715,0.0030973374,0.000037871985,0.0011393573,0.000005245245],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003336261,0.00033930052,0.9891812,0.00040064155,0.0002889862,0.000003946144,0.0045325183,0.0015345505,0.0019541688,0.00051510544,0.00039226722,0.0005236675],"study_design_scores_gemma":[0.0011610518,0.00015252767,0.9766133,0.00008228074,0.00017133186,5.237413e-8,0.0064291023,0.013316069,0.00026641838,0.00096268393,0.00048008087,0.00036508916],"about_ca_topic_score_codex":0.40581807,"about_ca_topic_score_gemma":0.19219913,"teacher_disagreement_score":0.21361895,"about_ca_system_score_codex":0.00041005865,"about_ca_system_score_gemma":0.00084626104,"threshold_uncertainty_score":0.9998513},"labels":[],"label_agreement":null},{"id":"W574142175","doi":"","title":"Safe and Active Routes to School Program: Experiences and Lessons Learned","year":2006,"lang":"en","type":"article","venue":"2006 ITE Annual Meeting and Exhibit Compendium of Technical PapersInstitute of Transportation Engineers (ITE)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Enforcement; Sustainable transport; Business; Public transport; Schedule; Transport engineering; Transportation planning; Traffic congestion; Environmental planning; Engineering; Sustainability; Political science; Geography","score_opus":0.013242604724308427,"score_gpt":0.28862864625473195,"score_spread":0.2753860415304235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W574142175","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9918144,0.00057147606,0.0002734314,0.0013641316,0.000083920626,0.00047283975,0.0001641802,0.00013711855,0.005118545],"genre_scores_gemma":[0.99295,0.00011978396,0.006625629,0.000036150734,0.0000674201,0.000029888997,0.00006758528,0.000011396882,0.000092150054],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983411,0.0000389701,0.0005077997,0.00042360296,0.00036842492,0.00032014257],"domain_scores_gemma":[0.9992169,0.000120461,0.00015469099,0.00012660769,0.00014327596,0.00023806162],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039025454,0.00020749192,0.00039315075,0.0001546061,0.000277636,0.000041592826,0.00015847503,0.0001635338,0.000022979275],"category_scores_gemma":[0.00007783051,0.00020178243,0.00008065653,0.0003863383,0.00070979,0.00046795688,0.000010914325,0.0001746071,5.863845e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00177221,0.0023469117,0.6344283,0.001840037,0.0003040305,0.00007696381,0.12505989,0.0060268384,0.082664505,0.033940367,0.0020239092,0.109515995],"study_design_scores_gemma":[0.0014682354,0.000472771,0.9244527,0.00061802735,0.00021667473,0.000002028351,0.035058748,0.0000788659,0.0068464978,0.00040706762,0.029548371,0.0008300066],"about_ca_topic_score_codex":0.0039234487,"about_ca_topic_score_gemma":0.0037094867,"teacher_disagreement_score":0.29002437,"about_ca_system_score_codex":0.000028254277,"about_ca_system_score_gemma":0.00008329495,"threshold_uncertainty_score":0.82284486},"labels":[],"label_agreement":null},{"id":"W574969674","doi":"","title":"Applying the Road Diet for Livable Communities","year":2005,"lang":"en","type":"article","venue":"ITE 2005 Annual Meeting and Exhibit Compendium of Technical PapersInstitute of Transportation Engineers (ITE)ARRB Group Ltd.","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transport engineering; Context (archaeology); Public transport; Transit (satellite); Geography; Business; Engineering","score_opus":0.013019926152078481,"score_gpt":0.2595824657610213,"score_spread":0.2465625396089428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W574969674","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9714141,0.0031837628,0.005153216,0.003367153,0.0005541484,0.0028322162,0.00093311473,0.000456681,0.012105611],"genre_scores_gemma":[0.992597,0.0002722338,0.006280561,0.00013409008,0.0002064196,0.00013243072,0.00022256862,0.000023408047,0.00013132625],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.997832,0.000071113696,0.00080931996,0.00029316836,0.00049387675,0.0005005273],"domain_scores_gemma":[0.9986722,0.0003886914,0.0002734991,0.00030271072,0.0001938878,0.00016904037],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013261648,0.00026624437,0.00048889086,0.00013767723,0.00067751185,0.00004194104,0.0005184798,0.00021732062,0.000048051683],"category_scores_gemma":[0.00006137437,0.00023108054,0.0002631433,0.000314738,0.00085822993,0.000598122,0.000013899618,0.00031549096,0.0000012965548],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008742528,0.006317907,0.21415864,0.008036686,0.0017781422,0.00003930252,0.2350118,0.13500041,0.08030505,0.16237482,0.015982877,0.13225183],"study_design_scores_gemma":[0.0049956543,0.0011024285,0.12939507,0.0018240418,0.0009785334,0.000003945895,0.067315236,0.002401086,0.0042559328,0.0005937602,0.78506875,0.0020655664],"about_ca_topic_score_codex":0.0026877772,"about_ca_topic_score_gemma":0.011881577,"teacher_disagreement_score":0.7690859,"about_ca_system_score_codex":0.000064248205,"about_ca_system_score_gemma":0.00008762663,"threshold_uncertainty_score":0.9423191},"labels":[],"label_agreement":null},{"id":"W575930384","doi":"","title":"Contested streets : a case study approach to understanding bicycle and car politics in Toronto, Canada","year":2010,"lang":"en","type":"dissertation","venue":"TSpace","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Realm; Politics; Institutionalisation; Cycling; Political science; Public administration; Sociology; Geography; Law","score_opus":0.05218898747119978,"score_gpt":0.37289071538901936,"score_spread":0.3207017279178196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W575930384","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94585896,0.000156653,0.0000061597143,0.00007244094,0.00029186514,0.0007916485,0.000015333571,0.000023840743,0.052783113],"genre_scores_gemma":[0.99545383,0.0000027938465,0.000038295995,0.000023504319,0.000084414525,0.000023531491,0.000043434626,0.00001581952,0.0043143868],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9987221,0.000081410915,0.0002016281,0.0003461792,0.00031692788,0.00033175026],"domain_scores_gemma":[0.99939334,0.000073535455,0.0000773703,0.00017569984,0.000047893336,0.00023213036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028675146,0.0001658782,0.00026416886,0.000045790657,0.00032269483,0.00007855864,0.00014509517,0.00017598299,0.000050426355],"category_scores_gemma":[0.00006474396,0.00017284612,0.000021294787,0.00016370072,0.00004289238,0.00009976053,0.000009435539,0.0002589377,1.7846617e-7],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035255074,0.00032946336,0.49626443,0.000118031,0.00003944855,0.00071609515,0.4995894,0.0000017988692,0.000033028093,0.0024063443,0.00017485331,0.0002918336],"study_design_scores_gemma":[0.00025468238,0.000024675872,0.09624532,0.000023751676,0.000035005796,0.0000015493558,0.9029675,0.0000072753105,0.000006899762,0.00006133919,0.00016343089,0.00020854341],"about_ca_topic_score_codex":0.99854934,"about_ca_topic_score_gemma":0.99997896,"teacher_disagreement_score":0.4033781,"about_ca_system_score_codex":0.0012944997,"about_ca_system_score_gemma":0.0011788607,"threshold_uncertainty_score":0.704846},"labels":[],"label_agreement":null},{"id":"W577138013","doi":"","title":"Information-Based Traffic Assignment for the Analysis of Geopolitical Equity","year":2011,"lang":"en","type":"article","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Equity (law); Transport infrastructure; Geopolitics; Spillover effect; TRIPS architecture; Business; Transport engineering; Government (linguistics); Regional science; Geography; Economics; Engineering; Microeconomics; Political science","score_opus":0.031051308569057506,"score_gpt":0.2918508526818273,"score_spread":0.2607995441127698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W577138013","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3166158,0.00015181839,0.6769772,0.0016974814,0.00009789242,0.0011051378,0.0001873048,0.00023006117,0.0029373206],"genre_scores_gemma":[0.9925434,0.000011454649,0.0060551777,0.0008355608,0.00004608178,0.00035943984,0.00003889246,0.00000888687,0.000101121535],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981895,0.00010085911,0.0005259362,0.00015858845,0.00047625956,0.0005488665],"domain_scores_gemma":[0.9985001,0.00041789774,0.0002325891,0.00043872147,0.00020590037,0.00020480955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017581267,0.00015021661,0.00030685315,0.00030634776,0.00048297533,0.000083206425,0.0006187856,0.00017789227,0.00029657996],"category_scores_gemma":[0.00027937102,0.00011621484,0.00040255848,0.0009566632,0.00042140513,0.0004144256,0.00004248064,0.00014892948,0.0000026458088],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004456654,0.0011028403,0.6270548,0.00011392427,0.0011023569,0.0000027320482,0.016092923,0.0066366713,0.00008334273,0.26990896,0.0012257445,0.076230004],"study_design_scores_gemma":[0.0005215537,0.000110657194,0.8443223,0.00001552237,0.0013351166,1.3397437e-7,0.0027364006,0.1408404,0.0018428414,0.0040264153,0.0039029943,0.00034567],"about_ca_topic_score_codex":0.036225785,"about_ca_topic_score_gemma":0.031188905,"teacher_disagreement_score":0.6759276,"about_ca_system_score_codex":0.00026562688,"about_ca_system_score_gemma":0.0005064254,"threshold_uncertainty_score":0.98648936},"labels":[],"label_agreement":null},{"id":"W577391676","doi":"","title":"Public Transport Policy in Australia: A Density Delusion?","year":2010,"lang":"en","type":"article","venue":"World Transport Policy and Practice","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Public transport; Sustainable transport; Journey to work; TRIPS architecture; Transportation planning; Population; Private transport; Census; Economic growth; Business; Regional science; Transport engineering; Sociology; Sustainability; Economics; Engineering","score_opus":0.06707911918510236,"score_gpt":0.38002799877867405,"score_spread":0.3129488795935717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W577391676","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8437884,0.00006186703,0.000059544767,0.053168815,0.0002703429,0.00044459445,0.000042033313,0.00013813263,0.10202629],"genre_scores_gemma":[0.988083,0.00018330496,0.0008639744,0.0019712423,0.0011686784,0.000025210897,0.00004001268,0.00002524906,0.00763931],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969371,0.00025835255,0.0006292528,0.00063138915,0.00059438834,0.00094950554],"domain_scores_gemma":[0.99799407,0.0006063427,0.00020167543,0.00042681734,0.00015947492,0.0006116318],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0027671705,0.00030800825,0.00040548033,0.000551308,0.000726601,0.00009473178,0.00044694633,0.00029788257,0.00072215643],"category_scores_gemma":[0.00074835063,0.00031207717,0.00015224467,0.0024827765,0.00081157376,0.0021943634,0.000013374805,0.0011462033,0.000031423926],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025231673,0.0004853495,0.8100792,0.000047536632,0.000035105706,0.00017779815,0.010815188,0.0000014960665,0.000329673,0.17432143,0.000097127675,0.0033577688],"study_design_scores_gemma":[0.0005378004,0.000016180975,0.64427,0.000014772277,0.000058885016,0.000009634821,0.00034650663,0.0000014669725,0.000041509047,0.0055460637,0.34885597,0.00030119022],"about_ca_topic_score_codex":0.20595066,"about_ca_topic_score_gemma":0.6680373,"teacher_disagreement_score":0.46208665,"about_ca_system_score_codex":0.00010392726,"about_ca_system_score_gemma":0.0012842156,"threshold_uncertainty_score":0.9999331},"labels":[],"label_agreement":null},{"id":"W577672274","doi":"","title":"Motorcycle Use and Mode Choice in Hanoi, Vietnam","year":2015,"lang":"en","type":"article","venue":"Transportation Research Board 94th Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Dominance (genetics); Business; Transport engineering; Government (linguistics); Engineering; Geography","score_opus":0.14016143482233198,"score_gpt":0.4409108881119933,"score_spread":0.3007494532896613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W577672274","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9903284,0.00040126094,0.00017084429,0.0030248216,0.00022268223,0.0023300166,0.0003256429,0.00026053964,0.0029358487],"genre_scores_gemma":[0.99484634,0.00038157462,0.0013214811,0.00010786361,0.00031407672,0.00044423473,0.00029210557,0.00008281931,0.00220952],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9866109,0.0024327794,0.0013401594,0.0014559878,0.0057260036,0.0024341755],"domain_scores_gemma":[0.9910147,0.0019054607,0.0001820356,0.0006280918,0.0044993768,0.0017702901],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.012127559,0.00042614533,0.0006336862,0.0015673928,0.0013899816,0.0005894152,0.0009000681,0.00053361175,0.00022208177],"category_scores_gemma":[0.0021621445,0.00045690977,0.00016904384,0.0037148276,0.0023357961,0.0034724288,0.000019794628,0.0021349574,0.0000748119],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00070461165,0.0003651769,0.94641346,0.00015808354,0.000028912182,0.00013787136,0.044239283,0.00036849832,0.00032412403,0.0037787436,0.002059398,0.0014218171],"study_design_scores_gemma":[0.0020866652,0.00027038404,0.92795897,0.00018736407,0.0000201783,7.254419e-8,0.023580566,0.00019905112,0.00020978366,0.0026339171,0.042370357,0.00048271805],"about_ca_topic_score_codex":0.2681794,"about_ca_topic_score_gemma":0.58689076,"teacher_disagreement_score":0.31871134,"about_ca_system_score_codex":0.00050438015,"about_ca_system_score_gemma":0.0016625852,"threshold_uncertainty_score":0.99991006},"labels":[],"label_agreement":null},{"id":"W577730681","doi":"","title":"Gender and daily mobility: Did the gender gap change between 1996 and 2006 in the Quebec urban area?","year":2014,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"TRIPS architecture; Chaining; Public transport; Demographic economics; Travel behavior; Work (physics); Geography; Demography; Psychology; Socioeconomics; Sociology; Transport engineering; Economics; Engineering","score_opus":0.1025008137365339,"score_gpt":0.30672411467494953,"score_spread":0.20422330093841562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W577730681","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95898217,0.00060266955,0.00009611851,0.0020528839,0.000054528584,0.0004942514,0.000011367056,0.00003500904,0.03767099],"genre_scores_gemma":[0.99781096,0.000040299503,0.000022373293,0.0010855679,0.00036897318,0.000037184844,0.0000068758613,0.000006075232,0.0006217038],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985575,0.00031132763,0.00019447389,0.00032222105,0.00029978828,0.00031470615],"domain_scores_gemma":[0.9992175,0.00032643203,0.000047297377,0.00029984573,0.000026842778,0.00008205052],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020959398,0.00012497765,0.00016600043,0.00002966142,0.00043505282,0.00015768872,0.000315343,0.000096881675,0.00011643403],"category_scores_gemma":[0.00004493545,0.00006503416,0.000038901457,0.00020280694,0.0005810199,0.00030291587,0.00003911023,0.00017120336,0.000003736715],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000032047924,0.000027818962,0.9663243,0.000011232185,0.0000064967503,4.828638e-7,0.025658514,4.3080608e-8,0.000002146043,0.0032245498,0.0006655037,0.0040756837],"study_design_scores_gemma":[0.00015694114,0.000009675535,0.970126,0.0000029624875,0.000022527018,9.871747e-8,0.005674599,0.000016527107,0.000003787378,0.0057455967,0.018136518,0.00010477268],"about_ca_topic_score_codex":0.09246615,"about_ca_topic_score_gemma":0.2433663,"teacher_disagreement_score":0.15090014,"about_ca_system_score_codex":0.00002442754,"about_ca_system_score_gemma":0.000041467014,"threshold_uncertainty_score":0.9135772},"labels":[],"label_agreement":null},{"id":"W578226164","doi":"","title":"The Esquimalt and Nanaimo Rail Trail - Building on the Capital Regional District's Trail Network","year":2009,"lang":"en","type":"article","venue":"2009 ANNUAL CONFERENCE AND EXHIBITION OF THE TRANSPORTATION ASSOCIATION OF CANADA - TRANSPORTATION IN A CLIMATE OF CHANGE","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Downtown; Transport engineering; Rail network; Pedestrian; Cycling; Engineering; Geography; Railway line; Forestry; Archaeology","score_opus":0.027660721854085725,"score_gpt":0.25834314174403833,"score_spread":0.2306824198899526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W578226164","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9833267,0.00022108987,0.000033227665,0.014512953,0.00017309502,0.0004995547,0.0007371519,0.000012444119,0.00048383896],"genre_scores_gemma":[0.99863297,0.0007757358,0.000032603602,0.00030801093,0.00006285625,0.000025742333,0.0000861439,0.000007228731,0.00006870113],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9975816,0.00017581119,0.0007946201,0.00022558669,0.00088039134,0.0003419852],"domain_scores_gemma":[0.9980283,0.0004527619,0.0008759066,0.00013737332,0.0004286151,0.0000770863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011337096,0.00016921539,0.0003014409,0.000055554156,0.0005172894,0.000030939413,0.00022234919,0.0001330362,0.00004441284],"category_scores_gemma":[0.00007160901,0.00011938913,0.000106361105,0.00044758676,0.0002785948,0.00036719823,0.0000012698727,0.00019430205,7.926779e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017579274,0.00040118498,0.4296837,0.00034213593,0.00016005986,0.000005541793,0.11549892,0.0006183229,0.0005896811,0.434684,0.0039202035,0.012338312],"study_design_scores_gemma":[0.00074295845,0.00009355084,0.9861303,0.00017781729,0.000059074388,4.0635154e-8,0.007646107,0.000030648076,0.00020970339,0.0036771197,0.001098001,0.00013469339],"about_ca_topic_score_codex":0.045687202,"about_ca_topic_score_gemma":0.7753517,"teacher_disagreement_score":0.7296645,"about_ca_system_score_codex":0.00009928287,"about_ca_system_score_gemma":0.000354636,"threshold_uncertainty_score":0.96066767},"labels":[],"label_agreement":null},{"id":"W578532935","doi":"","title":"Analyzing Car Ownership in Two Quebec Metropolitan Regions: Comparison of Latent Ordered and Unordered Response Models","year":2013,"lang":"en","type":"article","venue":"Transportation Research Board 92nd Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Latent class model; Multinomial logistic regression; Econometrics; Car ownership; Context (archaeology); Population; Class (philosophy); Latent variable; Metropolitan area; Geography; Logistic regression; Estimation; Economics; Demography; Statistics; Computer science; Political science; Mathematics; Sociology; Public transport; Artificial intelligence","score_opus":0.11729581848646291,"score_gpt":0.4376679322780165,"score_spread":0.32037211379155356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W578532935","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9881805,0.00097562367,0.00045806682,0.00644498,0.00008075518,0.0025461044,0.00018088384,0.00014442197,0.0009886279],"genre_scores_gemma":[0.9960328,0.00041385062,0.0015032387,0.000026048618,0.000090085174,0.00042567702,0.00019408112,0.00007073218,0.0012435098],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98671746,0.0043396754,0.0020405538,0.001290325,0.0035469194,0.0020650863],"domain_scores_gemma":[0.9908979,0.0027735727,0.00037013093,0.00064365595,0.004453093,0.0008616327],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.012430384,0.00043510168,0.0009578917,0.0023157997,0.0012647131,0.00030880413,0.0009042628,0.00036383703,0.00033576784],"category_scores_gemma":[0.0009573601,0.00043641016,0.00024654448,0.00452891,0.0030481801,0.002242358,0.000019164112,0.0017713633,0.000021303085],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018929288,0.00057022803,0.91027313,0.00032917524,0.00008215095,0.00003820108,0.05778976,0.000999436,0.0031205728,0.022417925,0.00066799315,0.0018184956],"study_design_scores_gemma":[0.0020105315,0.0002789022,0.88318014,0.00034974885,0.000037482398,4.3892076e-8,0.09853571,0.0007558476,0.0006791811,0.012873456,0.0008336355,0.00046531582],"about_ca_topic_score_codex":0.667742,"about_ca_topic_score_gemma":0.7716652,"teacher_disagreement_score":0.10392318,"about_ca_system_score_codex":0.0007186404,"about_ca_system_score_gemma":0.0014527105,"threshold_uncertainty_score":0.9998088},"labels":[],"label_agreement":null},{"id":"W578951617","doi":"","title":"Who’s Online…and Who Isn’t?Equity Considerations for Web-Based Feedback and Transit","year":2015,"lang":"en","type":"article","venue":"Transportation Research Board 94th Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transit (satellite); Public transport; Web accessibility; Scope (computer science); Business; Web presence; Equity (law); The Internet; Computer science; Marketing; World Wide Web; Web standards; Transport engineering; Engineering; Political science","score_opus":0.17905845448153906,"score_gpt":0.45336189878867256,"score_spread":0.2743034443071335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W578951617","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9736488,0.00067689695,0.001101458,0.015160053,0.00019020657,0.0038329533,0.001867089,0.00031128176,0.0032112594],"genre_scores_gemma":[0.9912821,0.0003692413,0.0048888056,0.00031805295,0.00037414787,0.00056112965,0.000568506,0.00009119723,0.0015467851],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9891699,0.0015911033,0.0013359989,0.0014959786,0.004303259,0.002103744],"domain_scores_gemma":[0.9878634,0.0031002306,0.00021158319,0.000521704,0.0063874447,0.0019155918],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.012532916,0.00048150957,0.0007765725,0.0010278699,0.002852096,0.0006218498,0.0005743792,0.00055693655,0.00036364308],"category_scores_gemma":[0.0017592057,0.0005077933,0.00023224879,0.0016691218,0.0034931693,0.0014875936,0.000016008575,0.001465344,0.000016142294],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003961739,0.0013236613,0.7900963,0.0016205377,0.00023674799,0.00017046122,0.10409141,0.0008369843,0.0013226712,0.051530387,0.03418655,0.01062258],"study_design_scores_gemma":[0.006974369,0.0009885749,0.8704292,0.00039518016,0.00013000301,2.550046e-7,0.041830674,0.0011111768,0.0004948696,0.01812376,0.058590163,0.00093176286],"about_ca_topic_score_codex":0.023691978,"about_ca_topic_score_gemma":0.26011166,"teacher_disagreement_score":0.23641968,"about_ca_system_score_codex":0.00028998617,"about_ca_system_score_gemma":0.0034124234,"threshold_uncertainty_score":0.9997374},"labels":[],"label_agreement":null},{"id":"W57919637","doi":"","title":"Effectiveness of Green, High-Visibility Bike Lane and Crossing Treatment","year":2007,"lang":"en","type":"article","venue":"Transportation Research Board 86th Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Visibility; Transport engineering; Pedestrian crossing; Geography; Pedestrian; Engineering; Meteorology","score_opus":0.0625665755767558,"score_gpt":0.4281611246073719,"score_spread":0.36559454903061606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W57919637","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9932165,0.0004313756,0.00094407477,0.0005110698,0.00018671896,0.0024773306,0.00044327407,0.000195632,0.0015939819],"genre_scores_gemma":[0.9969311,0.0002864317,0.0013140553,0.000012787156,0.00021542319,0.00014238196,0.00031323,0.00006136383,0.0007232487],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98800933,0.0026860866,0.0014724553,0.0013778611,0.0043705166,0.0020837456],"domain_scores_gemma":[0.98958045,0.004453731,0.00026761083,0.00064508413,0.0040693237,0.0009838213],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.028072638,0.0004223853,0.0007940771,0.0012069279,0.0024963457,0.0002530226,0.0006274246,0.00049344386,0.00025540523],"category_scores_gemma":[0.0005642536,0.00040573993,0.0002568742,0.0029306556,0.004869605,0.00107331,0.000012672028,0.0011276308,0.000020111762],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0032860534,0.0007216142,0.93359125,0.0012171236,0.000112494854,0.00014504862,0.033529554,0.000046205347,0.005683643,0.011053484,0.000045866705,0.010567669],"study_design_scores_gemma":[0.0019614242,0.0007527419,0.9666202,0.0003100339,0.0000486607,8.5617216e-8,0.013218567,0.0000070625156,0.008646004,0.0051780688,0.002895797,0.00036136762],"about_ca_topic_score_codex":0.32509398,"about_ca_topic_score_gemma":0.30882716,"teacher_disagreement_score":0.03302894,"about_ca_system_score_codex":0.00049567875,"about_ca_system_score_gemma":0.0012871205,"threshold_uncertainty_score":0.9998394},"labels":[],"label_agreement":null},{"id":"W579489117","doi":"","title":"Safe cycling in the Netherlands","year":2012,"lang":"en","type":"article","venue":"Routes/Roads","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cycling; SAFER; Transport engineering; Quarter (Canadian coin); Sustainable transport; Engineering; Geography; Sustainability; Computer security; Computer science","score_opus":0.035398160515795404,"score_gpt":0.3299218119931367,"score_spread":0.2945236514773413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W579489117","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8825411,0.0006122073,0.00008693302,0.001225283,0.00033449152,0.0001360802,0.0000019053751,0.0000379152,0.115024045],"genre_scores_gemma":[0.99774736,0.000023040904,0.000104958715,0.00043216048,0.00080521376,0.000010464861,0.000005064106,0.0000057948555,0.000865923],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99886286,0.00016691393,0.00017170301,0.00012224642,0.00026451898,0.00041174173],"domain_scores_gemma":[0.9995362,0.00014128897,0.000042871645,0.00018988478,0.000015915008,0.00007382471],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018455564,0.00007672016,0.00010564797,0.000029512914,0.00025698592,0.000057991514,0.0003553584,0.0000840615,0.0003433696],"category_scores_gemma":[0.000061095016,0.000052197836,0.000060631988,0.0003107965,0.000106462605,0.00035588458,0.0000121896455,0.00017118147,0.0000669488],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000062734116,0.000069321344,0.9702809,0.0000024519638,0.0000027005296,0.0000012011214,0.023256399,0.0000018169643,0.000013532475,0.0022616743,0.00050589297,0.003597835],"study_design_scores_gemma":[0.00017539068,0.000010200042,0.91395915,0.000009709872,0.000010531559,1.6078754e-7,0.0030100986,0.000014269901,0.00003535055,0.0016555818,0.08100532,0.000114229595],"about_ca_topic_score_codex":0.0027358904,"about_ca_topic_score_gemma":0.0052645523,"teacher_disagreement_score":0.11520624,"about_ca_system_score_codex":0.000043156077,"about_ca_system_score_gemma":0.000048886803,"threshold_uncertainty_score":0.41358662},"labels":[],"label_agreement":null},{"id":"W580048768","doi":"","title":"Modeling Modal Shift of Cyclists and Pedestrians, and Preference of Alternative Services during Temporary Closure of the Macdonald Bridge in Halifax, Canada","year":2015,"lang":"en","type":"article","venue":"Transportation Research Board 94th Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Modal shift; Neighbourhood (mathematics); Modal; Bridge (graph theory); Transport engineering; Travel behavior; Pedestrian; Revealed preference; Cycling; Mixed logit; Logit; Closure (psychology); Psychology; Engineering; Public transport; Geography; Economics; Econometrics; Logistic regression; Statistics; Mathematics","score_opus":0.09799672737534534,"score_gpt":0.372073155542259,"score_spread":0.2740764281669137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W580048768","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959281,0.0004918347,0.00002685531,0.0010097058,0.000069098714,0.0011607126,0.00088044023,0.000017634833,0.00041558655],"genre_scores_gemma":[0.99925923,0.0002857703,0.00015979262,0.0000102852055,0.00005067329,0.000055350883,0.00008135144,0.000024811516,0.000072746814],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99240947,0.0011566562,0.0012703245,0.0006306528,0.0037782916,0.0007546256],"domain_scores_gemma":[0.9961106,0.0005307511,0.0003190922,0.00034093962,0.0022643413,0.0004342528],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0050496017,0.000230571,0.00053587765,0.00047292552,0.00037747846,0.000044224966,0.00070693705,0.00019952215,0.000020795216],"category_scores_gemma":[0.00027141586,0.0002063485,0.000088644185,0.0015238643,0.0013986443,0.00073683914,0.000023928753,0.00085155026,2.1991548e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00079937826,0.000121883335,0.95466024,0.001107775,0.000034758945,0.000020258429,0.03924364,0.002028752,0.0004458215,0.001406809,0.000017132837,0.00011357185],"study_design_scores_gemma":[0.0012602543,0.00009665217,0.9713188,0.0005319831,0.000019172056,4.8431033e-8,0.021807147,0.00044138197,0.0017033566,0.002598693,0.000049084454,0.00017341916],"about_ca_topic_score_codex":0.95232993,"about_ca_topic_score_gemma":0.9772102,"teacher_disagreement_score":0.024880307,"about_ca_system_score_codex":0.00014147033,"about_ca_system_score_gemma":0.0024774235,"threshold_uncertainty_score":0.84146476},"labels":[],"label_agreement":null},{"id":"W582788175","doi":"","title":"Demographic and Spatial Dynamics: Impact on Transportation and Future Issues","year":2007,"lang":"en","type":"article","venue":"23RD PIARC WORLD ROAD CONGRESS PARIS, 17-21 SEPTEMBER 2007","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Baby boom; Population; Demographics; Scope (computer science); Demographic change; Boom; Birth rate; Demographic economics; Geography; Baby boomers; Settlement (finance); Population growth; Order (exchange); Demography; Economics; Fertility; Sociology; Engineering","score_opus":0.00932541021587567,"score_gpt":0.30696477627712926,"score_spread":0.2976393660612536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W582788175","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95302415,0.005359156,0.0002585849,0.001190605,0.0011347934,0.0006358996,0.00010959345,0.00018851273,0.038098678],"genre_scores_gemma":[0.98941636,0.0008798027,0.00014863643,0.00022866338,0.001237326,0.00001132518,0.00014292319,0.00003487834,0.007900108],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972654,0.00013062458,0.00055584597,0.0006631945,0.0006258523,0.00075910625],"domain_scores_gemma":[0.9987072,0.00016325747,0.00022707578,0.00030577017,0.0001460721,0.0004506611],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011809258,0.0003949484,0.0004616939,0.00034017157,0.000632555,0.00019914153,0.00023986408,0.0002882993,0.0015009126],"category_scores_gemma":[0.0000110200535,0.0003421773,0.00017695625,0.0006411795,0.00067674945,0.00046236918,0.000010330348,0.00047468298,0.000020316535],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025791686,0.0001131623,0.94530094,0.00003058882,0.00007861087,0.000044835873,0.0016390024,0.000005785902,0.0000074125255,0.000904555,0.00624826,0.04536892],"study_design_scores_gemma":[0.00062196376,0.000066785935,0.9019581,0.00005927733,0.000074030286,7.3653615e-7,0.0007972391,0.00014311697,0.000050011764,0.0005267304,0.0952918,0.0004102178],"about_ca_topic_score_codex":0.015646726,"about_ca_topic_score_gemma":0.35999528,"teacher_disagreement_score":0.34434855,"about_ca_system_score_codex":0.00010133201,"about_ca_system_score_gemma":0.0000823041,"threshold_uncertainty_score":0.999903},"labels":[],"label_agreement":null},{"id":"W582914186","doi":"10.1016/j.healthplace.2015.05.006","title":"Patterns of neighborhood environment attributes in relation to children's physical activity","year":2015,"lang":"en","type":"article","venue":"Health & Place","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":69,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Population and Public Health","funders":"National Center for Advancing Translational Sciences; American Heart Association; National Center for Research Resources; National Institute of Environmental Health Sciences; NIH Clinical Center; National Institutes of Health","keywords":"Walkability; Recreation; Physical activity; Geography; Pedestrian; Built environment; Level design; Perception; Environmental health; Demography; Psychology; Medicine; Sociology; Computer science; Ecology; Multimedia","score_opus":0.03931212832071563,"score_gpt":0.32683250871684677,"score_spread":0.28752038039613115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W582914186","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9934961,0.000037274945,0.00089605467,0.004826017,0.00005622415,0.00037306693,0.000032964832,0.000018429091,0.00026386103],"genre_scores_gemma":[0.9996031,0.00001237849,0.00006792243,0.00010523809,0.00010222367,0.000008915364,0.00001197333,0.0000041803055,0.00008410247],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99896204,0.00016470946,0.000140663,0.00018766247,0.00030660225,0.00023829874],"domain_scores_gemma":[0.9994835,0.00006512133,0.00009177191,0.00012921322,0.000013929439,0.00021643992],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006612953,0.000064153,0.00016684034,0.000032606975,0.00007497619,0.000007687574,0.00010206135,0.000044019165,0.000024239407],"category_scores_gemma":[0.000048300062,0.000063193846,0.000027435055,0.00013645507,0.000028168666,0.0001692482,0.000016612325,0.000113123315,0.00001844077],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030267809,0.00025096117,0.98824704,0.000009899525,0.0000016996082,3.1651243e-7,0.0078063323,0.00009421747,0.0000068442428,0.00026933447,0.00012404079,0.0031590634],"study_design_scores_gemma":[0.00024606936,0.00007225646,0.9983378,0.000017523871,0.0000020507355,2.8246578e-8,0.0003031007,0.000049033,0.00005888924,0.0002092782,0.0006449036,0.000059037848],"about_ca_topic_score_codex":0.00918365,"about_ca_topic_score_gemma":0.002672056,"teacher_disagreement_score":0.0100908065,"about_ca_system_score_codex":0.0002902844,"about_ca_system_score_gemma":0.00024293963,"threshold_uncertainty_score":0.9974143},"labels":[],"label_agreement":null},{"id":"W584290597","doi":"","title":"Decoupling Urban Car Use and Metropolitan GDP Growth","year":2013,"lang":"en","type":"article","venue":"eSpace (Curtin University)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Per capita; Public transport; Transport engineering; Kilometer; Car ownership; Geography; Context (archaeology); Decoupling (probability); Gross domestic product; Vehicle miles of travel; Unit (ring theory); Private transport; Agricultural economics; Business; Economics; Economic growth; Engineering; Demography; Mathematics; Population","score_opus":0.016779825489277877,"score_gpt":0.227597678758066,"score_spread":0.21081785326878813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W584290597","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9842615,0.00005718572,0.00027462287,0.0010255248,0.00009449765,0.00018798283,0.0000056239587,0.000102948434,0.0139901135],"genre_scores_gemma":[0.97945464,0.000063643085,0.000546083,0.000048861475,0.00008381096,3.8327045e-7,0.0000021467683,0.000007977561,0.019792432],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990334,0.00007808071,0.000086617474,0.0002778398,0.00018275129,0.00034132003],"domain_scores_gemma":[0.9992706,0.00011751377,0.00006516682,0.00015115665,0.00014442098,0.00025110767],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016638923,0.00010818564,0.00013960691,0.00015900051,0.0005433746,0.00015009432,0.00023592697,0.00009357818,0.00025179717],"category_scores_gemma":[0.000100606274,0.00011681458,0.000060354556,0.0005105395,0.00035725287,0.0012408895,0.000035971032,0.0001295842,0.00003426329],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009056297,0.000024470235,0.9677328,0.000008139417,0.000015809479,0.000011603162,0.0040118517,5.46184e-7,0.000095600575,0.026539134,0.0014750612,0.00007592466],"study_design_scores_gemma":[0.00054922845,0.000042558,0.84762704,0.000026551099,0.00008822061,2.0199936e-7,0.032916237,0.00006369876,0.0003279917,0.001029081,0.116892286,0.00043689532],"about_ca_topic_score_codex":0.034796603,"about_ca_topic_score_gemma":0.016335234,"teacher_disagreement_score":0.12010576,"about_ca_system_score_codex":0.00023222105,"about_ca_system_score_gemma":0.000069628484,"threshold_uncertainty_score":0.97163075},"labels":[],"label_agreement":null},{"id":"W584511925","doi":"","title":"Extraboard Team Sizing: An Analysis of Short Unscheduled Absences Among Regular Transit Operators, Case Study of OC Transpo, Ottawa, Canada","year":2014,"lang":"en","type":"article","venue":"Transportation Research Board 93rd Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transit (satellite); Public transport; Transport engineering; Absenteeism; TRIPS architecture; Multilevel model; Operator (biology); Duration (music); Operations research; Computer science; Engineering; Statistics; Mathematics; Economics","score_opus":0.05021331697508233,"score_gpt":0.3871839622336461,"score_spread":0.3369706452585638,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W584511925","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9934289,0.00014014418,0.00060462684,0.00033464844,0.00019815986,0.0032002104,0.0008061186,0.0001740559,0.0011131626],"genre_scores_gemma":[0.997815,0.00009159855,0.0006111096,0.000025002711,0.00018744072,0.0003247214,0.00055829086,0.00010399719,0.00028284494],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9778931,0.0054097516,0.003325947,0.0020244797,0.009146449,0.0022002344],"domain_scores_gemma":[0.9872419,0.0020475104,0.00051339675,0.0014018685,0.0073201605,0.0014751151],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.018126668,0.000700791,0.001875032,0.002683122,0.0021662333,0.00020534224,0.0018615352,0.00058146246,0.00051375135],"category_scores_gemma":[0.0004954633,0.0007184912,0.0006088726,0.009669917,0.0030192467,0.0018413072,0.000010947001,0.0018721203,0.0000022674988],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00062065857,0.0019103087,0.88659894,0.00037784746,0.0008998761,0.0005626422,0.09682057,0.0076486086,0.0011569109,0.0015286714,0.00013457156,0.001740392],"study_design_scores_gemma":[0.0014070721,0.0011269378,0.7451745,0.0001285471,0.00080287387,2.9261832e-7,0.2472045,0.00089716446,0.0013886461,0.00011664,0.0011385744,0.0006142115],"about_ca_topic_score_codex":0.9590436,"about_ca_topic_score_gemma":0.9973696,"teacher_disagreement_score":0.15038392,"about_ca_system_score_codex":0.0003837599,"about_ca_system_score_gemma":0.0028383776,"threshold_uncertainty_score":0.999694},"labels":[],"label_agreement":null},{"id":"W585165077","doi":"","title":"LEGO Videos for Educating Road Users About Bicycle","year":2014,"lang":"fr","type":"article","venue":"Transportation 2014: Past, Present, Future - 2014 Conference and Exhibition of the Transportation Association of Canada // Transport 2014 : Du passé vers l'avenir - 2014 Congrès et Exposition de 'Association des transports du Canada","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sustainability; Enforcement; Plan (archaeology); Transport engineering; Sustainable transport; Engineering; Business; Political science","score_opus":0.008375651713300151,"score_gpt":0.23166690862490513,"score_spread":0.22329125691160498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W585165077","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90875494,0.0013323546,0.014555748,0.05246536,0.0063318713,0.0031333796,0.011522339,0.00016788536,0.0017361379],"genre_scores_gemma":[0.98497605,0.003157731,0.00060791493,0.0012918927,0.0015251597,0.0002913221,0.0046927906,0.00014801272,0.0033091484],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9889956,0.0011145812,0.0034926808,0.0014029944,0.0032381068,0.0017560261],"domain_scores_gemma":[0.9885828,0.0010741649,0.0050682467,0.00073391467,0.003614618,0.0009262924],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0037790153,0.0011809382,0.0017796499,0.0002887574,0.0015006341,0.00016973219,0.0008951021,0.0011741358,0.0016089199],"category_scores_gemma":[0.00013925789,0.0012889066,0.0009921058,0.00075370213,0.0006356813,0.0022329006,0.000006438492,0.00093915523,0.0000050660415],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00060807273,0.00053978816,0.8227525,0.0018207129,0.0009080227,0.000014147542,0.012349594,0.005402187,0.0007550257,0.01141993,0.14150153,0.001928529],"study_design_scores_gemma":[0.0038149056,0.00018820846,0.8141584,0.00059480575,0.0018048241,0.0000020489565,0.0026495676,0.00052296213,0.0017375489,0.0011794963,0.17212237,0.0012248884],"about_ca_topic_score_codex":0.8123747,"about_ca_topic_score_gemma":0.9886886,"teacher_disagreement_score":0.17631383,"about_ca_system_score_codex":0.0033929679,"about_ca_system_score_gemma":0.00861545,"threshold_uncertainty_score":0.99979925},"labels":[],"label_agreement":null},{"id":"W586515106","doi":"","title":"Bike-Sharing Goes Viral","year":2009,"lang":"en","type":"article","venue":"Sustainable transport","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"China; Bike sharing; Payment; Smart card; Car sharing; Business; Transport engineering; Political science; Computer security; Computer science; Engineering; Finance","score_opus":0.012094777574896815,"score_gpt":0.2882097122341798,"score_spread":0.276114934659283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W586515106","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84013784,0.00022356132,0.00035143166,0.00142449,0.00010767243,0.00034148322,0.0000034960092,0.00032440375,0.15708563],"genre_scores_gemma":[0.9613716,0.000031965552,0.00012994684,0.0002910247,0.00023431888,0.000009212043,0.000018778348,0.000011355744,0.03790182],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979807,0.00002678421,0.0002943994,0.00040731448,0.00040586424,0.00088493014],"domain_scores_gemma":[0.9992733,0.000015475876,0.000056120116,0.0002894378,0.00015627405,0.00020940331],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074657815,0.00016334116,0.00022141737,0.000100999314,0.0007555062,0.00007481506,0.00049083465,0.00013349128,0.0006897162],"category_scores_gemma":[0.000022521932,0.00016037129,0.0001510471,0.0004920669,0.00020517116,0.0008511187,0.000005596082,0.00019646772,0.000020864429],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009113149,0.0002590859,0.7945801,0.0000847779,0.000018038358,0.00045559302,0.012953898,0.00003004481,0.000076273296,0.18723258,0.0003490154,0.0038694534],"study_design_scores_gemma":[0.00053674355,0.00009001114,0.7656993,0.000021350666,0.000055019944,3.5162805e-7,0.013695591,0.00000856093,0.0002868115,0.084441,0.13470213,0.0004630978],"about_ca_topic_score_codex":0.0044287797,"about_ca_topic_score_gemma":0.0013676572,"teacher_disagreement_score":0.13435312,"about_ca_system_score_codex":0.00015473657,"about_ca_system_score_gemma":0.00030659692,"threshold_uncertainty_score":0.7551909},"labels":[],"label_agreement":null},{"id":"W587045215","doi":"10.1007/s11116-017-9765-3","title":"How household transportation expenditures have evolved in Canada: a long term perspective","year":2017,"lang":"en","type":"article","venue":"Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Economics; Public economics; Public transport; Econometric model; Econometric analysis; Affect (linguistics); Value of time; Perspective (graphical); Discrete choice; Vehicle miles of travel; Econometrics; Travel time; Transport engineering; Engineering","score_opus":0.03789175180858625,"score_gpt":0.29452463421780684,"score_spread":0.2566328824092206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W587045215","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99545187,0.000160661,0.0002993358,0.0017752349,0.00029801228,0.00049963203,0.0001726332,0.000057664925,0.0012849311],"genre_scores_gemma":[0.99902433,0.000046687906,0.00006249495,0.00004662896,0.00014147571,0.000046150835,0.00019647843,0.00001948378,0.00041624982],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982781,0.00004570291,0.00029926669,0.00042833592,0.0005580702,0.00039052518],"domain_scores_gemma":[0.9991317,0.000033656608,0.000263823,0.00033214933,0.00009855188,0.00014014333],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022479876,0.00018543549,0.00025124723,0.00007752584,0.00071019464,0.00019901551,0.0004214231,0.00011841272,0.000092417315],"category_scores_gemma":[0.00002358986,0.00019472606,0.00009575945,0.00006971048,0.00020785784,0.0013192554,7.709362e-7,0.00021155902,8.002832e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005854052,0.00004817262,0.98187387,0.000022790677,0.0000140463635,0.0000965184,0.015536788,0.000031243686,0.00009049311,0.0013565752,0.000046542813,0.0008244036],"study_design_scores_gemma":[0.0006453875,0.0000108101285,0.9853715,0.000042552256,0.00003928721,3.5230116e-8,0.012335843,0.000005815189,0.00046927342,0.0006684545,0.00017864935,0.00023244045],"about_ca_topic_score_codex":0.9738855,"about_ca_topic_score_gemma":0.9998307,"teacher_disagreement_score":0.025945215,"about_ca_system_score_codex":0.0006774401,"about_ca_system_score_gemma":0.0010943771,"threshold_uncertainty_score":0.7940698},"labels":[],"label_agreement":null},{"id":"W588671844","doi":"","title":"Sustainable Transportation: Review of Proposals, Policies, and Programs 2000-2007","year":2009,"lang":"en","type":"article","venue":"Transportation Research Board 88th Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mandate; Sustainability; Sustainable transport; Government (linguistics); Business; European union; Gateway (web page); Sustainable development; Sustainable community; Public administration; Transportation planning; Political science; Transport engineering; Engineering; Economic policy","score_opus":0.05469816745054954,"score_gpt":0.4123399717378414,"score_spread":0.35764180428729186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W588671844","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9470306,0.016968729,0.00022828596,0.0138977,0.00018721704,0.007762337,0.00049983506,0.0004878803,0.012937437],"genre_scores_gemma":[0.971766,0.018678699,0.0014867575,0.00040101947,0.00035484182,0.00041330495,0.0009737569,0.000074845004,0.005850769],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9855905,0.0016632307,0.0021631224,0.0013900888,0.006364014,0.0028290197],"domain_scores_gemma":[0.9881734,0.0006864497,0.00042973456,0.0007433971,0.008746318,0.0012206672],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.013943238,0.0005358879,0.0010118779,0.0012009273,0.002071614,0.0002497788,0.0010937941,0.00050107855,0.00083726924],"category_scores_gemma":[0.00066385465,0.0005409968,0.00035694608,0.0051438566,0.0029661073,0.0019011322,0.000007259291,0.0017551059,0.00002871219],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024411865,0.0030237983,0.6023097,0.0262688,0.00025893233,0.00065231574,0.1425035,0.000044267465,0.0007874433,0.15631552,0.025086347,0.040308196],"study_design_scores_gemma":[0.0015525001,0.0012702912,0.7974368,0.0042188102,0.00012917633,2.1793393e-7,0.045886308,0.000007823867,0.00056126836,0.007630078,0.14051965,0.00078709406],"about_ca_topic_score_codex":0.067628704,"about_ca_topic_score_gemma":0.03693748,"teacher_disagreement_score":0.19512708,"about_ca_system_score_codex":0.00036341703,"about_ca_system_score_gemma":0.0030297295,"threshold_uncertainty_score":0.9997473},"labels":[],"label_agreement":null},{"id":"W588909944","doi":"","title":"DEVELOPMENT ON THE LINE","year":2002,"lang":"en","type":"article","venue":"˜The œAmerican city & county","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Transport engineering; Public transport; Transit (satellite); Business; Work (physics); Variety (cybernetics); Last mile (transportation); Quarter (Canadian coin); Mile; Bus rapid transit; Environmental planning; Engineering; Computer science; Geography","score_opus":0.054004245481400856,"score_gpt":0.2914142504835289,"score_spread":0.23741000500212806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W588909944","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9516241,0.000051849856,0.00011804187,0.006235189,0.00014331141,0.00020695443,0.000009445233,0.00007890506,0.0415322],"genre_scores_gemma":[0.99297106,0.000035037185,0.00009539923,0.0036207328,0.00024334682,0.000020026959,0.000001776968,0.0000069546218,0.0030056767],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986009,0.0001209872,0.00018772871,0.00022195342,0.00055053283,0.0003179168],"domain_scores_gemma":[0.9991844,0.00021582727,0.00013284247,0.00032560327,0.00006456784,0.00007673245],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00084103487,0.00011173958,0.00014406582,0.000017074992,0.0011099672,0.00008378325,0.0005701068,0.000026928643,0.0011232515],"category_scores_gemma":[0.000036120047,0.0000622241,0.00006758747,0.0004563205,0.0009658458,0.00006792466,0.000022834342,0.00021167925,0.0001693672],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000118921984,0.0012389432,0.5935114,0.000016709084,0.00017305854,0.000021594336,0.06797083,0.000023271054,0.00017891632,0.008818041,0.06471441,0.26321387],"study_design_scores_gemma":[0.00007509719,0.000026407817,0.24364345,0.000006957424,0.000011879219,1.1715895e-7,0.0020610269,0.00007985617,0.00005341454,0.0003647935,0.7535193,0.00015771316],"about_ca_topic_score_codex":0.0034749403,"about_ca_topic_score_gemma":0.012471138,"teacher_disagreement_score":0.68880486,"about_ca_system_score_codex":0.00012581126,"about_ca_system_score_gemma":0.000091201284,"threshold_uncertainty_score":0.99978983},"labels":[],"label_agreement":null},{"id":"W589846162","doi":"","title":"Identifying and Overcoming Barriers to the Implementation of Active Transportation","year":2014,"lang":"fr","type":"article","venue":"Transportation 2014: Past, Present, Future - 2014 Conference and Exhibition of the Transportation Association of Canada // Transport 2014 : Du passé vers l'avenir - 2014 Congrès et Exposition de 'Association des transports du Canada","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transportation planning; Best practice; Process (computing); Public relations; Order (exchange); Business; Focus group; Engineering; Process management; Transport engineering; Political science; Environmental planning; Marketing; Computer science; Finance","score_opus":0.008007221765067324,"score_gpt":0.24237329458710444,"score_spread":0.2343660728220371,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W589846162","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94396746,0.0006366119,0.007305282,0.03394603,0.0025125642,0.0020582685,0.009161056,0.00006599422,0.0003467079],"genre_scores_gemma":[0.99145377,0.0031782924,0.0003091075,0.00097020325,0.00061258435,0.00015413112,0.0025334796,0.00009383444,0.00069460017],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99043816,0.0011342891,0.00302503,0.001100928,0.00309416,0.0012074377],"domain_scores_gemma":[0.99105567,0.0007539561,0.0042099706,0.0005819237,0.0025060505,0.00089242484],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0031145364,0.00092180003,0.0014191468,0.0002780193,0.0012327662,0.00011464939,0.0006896467,0.00074426737,0.0015010395],"category_scores_gemma":[0.00007952007,0.00091706146,0.0005933249,0.0008157794,0.00055496645,0.0019213917,0.0000063352504,0.0007863103,0.0000022425786],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005624008,0.00019576473,0.89699936,0.0012611579,0.000836626,0.000012803227,0.041020114,0.0033864134,0.001189534,0.010630868,0.041535996,0.0023689587],"study_design_scores_gemma":[0.0029364983,0.0001716242,0.9145887,0.00044572132,0.0017342059,0.0000015004248,0.011351676,0.00012702952,0.00434431,0.000803661,0.062640406,0.0008546775],"about_ca_topic_score_codex":0.80825293,"about_ca_topic_score_gemma":0.99252903,"teacher_disagreement_score":0.18427612,"about_ca_system_score_codex":0.0020537055,"about_ca_system_score_gemma":0.005534579,"threshold_uncertainty_score":0.9994117},"labels":[],"label_agreement":null},{"id":"W589876814","doi":"","title":"Cycling and Weather: A Multi-city and Multi-facility Study in North America","year":2012,"lang":"en","type":"article","venue":"Transportation Research Board 91st Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cycling; Dew point; Precipitation; Recreation; Environmental science; Meteorology; Morning; Geography; Climatology; Forestry","score_opus":0.13007334190473216,"score_gpt":0.43578269714298434,"score_spread":0.30570935523825216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W589876814","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9935698,0.0008555815,0.0003899928,0.0007436984,0.0001325428,0.0034074741,0.00043938984,0.00019259201,0.00026892064],"genre_scores_gemma":[0.9957062,0.0007910813,0.0021018505,0.000046738245,0.00015526003,0.00049461797,0.0001969192,0.00004841189,0.00045891534],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98858327,0.0028136931,0.0013405598,0.0013468728,0.0034510456,0.002464565],"domain_scores_gemma":[0.995005,0.0013449973,0.0001938737,0.00051833194,0.0016799873,0.0012577911],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.013024878,0.00045177655,0.00070685835,0.0011166573,0.002091569,0.00027677452,0.0006049656,0.0003380979,0.00026176666],"category_scores_gemma":[0.00078864716,0.00046474874,0.00013974169,0.0031496468,0.0026725412,0.0020663776,0.000027318687,0.0021382659,0.000037512433],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034829875,0.0016057752,0.8463521,0.00016087573,0.00004144011,0.00004610971,0.1461211,0.000028499291,0.00009417759,0.0000991626,0.000046001864,0.0050564627],"study_design_scores_gemma":[0.0021332186,0.00022867446,0.8941876,0.00006566819,0.000030005343,5.1370456e-8,0.09963044,0.00008879605,0.000037395854,0.00005813531,0.0031303735,0.00040959593],"about_ca_topic_score_codex":0.16211993,"about_ca_topic_score_gemma":0.6898177,"teacher_disagreement_score":0.5276978,"about_ca_system_score_codex":0.00026683373,"about_ca_system_score_gemma":0.0004891417,"threshold_uncertainty_score":0.9997804},"labels":[],"label_agreement":null},{"id":"W590862442","doi":"","title":"Long-term Urban Road Restrictions During Special Events","year":2014,"lang":"fr","type":"article","venue":"Transportation 2014: Past, Present, Future - 2014 Conference and Exhibition of the Transportation Association of Canada // Transport 2014 : Du passé vers l'avenir - 2014 Congrès et Exposition de 'Association des transports du Canada","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Pedestrian; Downtown; Transport engineering; Traffic calming; Pedestrian crossing; Event (particle physics); Plan (archaeology); Cycling; Geography; Engineering","score_opus":0.007377700600075061,"score_gpt":0.2179205270126551,"score_spread":0.21054282641258004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W590862442","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9569231,0.0007737464,0.002994978,0.023185853,0.0058223093,0.0018370277,0.0066922237,0.00013624801,0.0016344697],"genre_scores_gemma":[0.9819989,0.0054031876,0.00014613691,0.00053757033,0.0030516137,0.00014737318,0.0039443574,0.00013169482,0.0046391217],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98814744,0.001347586,0.003464478,0.001402806,0.003919435,0.0017182727],"domain_scores_gemma":[0.9900791,0.0005653472,0.0047058356,0.0007842964,0.0028707527,0.0009946394],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0025948135,0.0012088348,0.0017031268,0.00034324743,0.0016238263,0.00013520363,0.00090875936,0.0012243747,0.0030189722],"category_scores_gemma":[0.00008162709,0.0013342575,0.000933385,0.00092993735,0.00059457833,0.002311877,0.000008745911,0.0011805833,0.0000095774385],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.0004964026,0.00048369868,0.91002184,0.0010334849,0.0007134894,0.00003707582,0.0072428845,0.0022774315,0.0003927166,0.0045163594,0.072224356,0.0005602544],"study_design_scores_gemma":[0.0039449027,0.00014385628,0.9366355,0.0005476616,0.0017171965,0.0000035951184,0.001075269,0.0000949618,0.0011383062,0.0005368122,0.052996583,0.0011653865],"about_ca_topic_score_codex":0.7358508,"about_ca_topic_score_gemma":0.9895372,"teacher_disagreement_score":0.25368637,"about_ca_system_score_codex":0.0041965335,"about_ca_system_score_gemma":0.0066639287,"threshold_uncertainty_score":0.9996759},"labels":[],"label_agreement":null},{"id":"W592673748","doi":"","title":"Is the compact city the solution to the sustainable transport dilemma?","year":2011,"lang":"en","type":"article","venue":"RMIT Research Repository (RMIT University Library)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Public transport; Metropolitan area; Census; Sustainable transport; Compact city; Geography; Regional science; Dilemma; Work (physics); Population; Transport engineering; Demography; Sustainability; Urban planning; Sociology; Engineering; Mathematics","score_opus":0.07986020460063661,"score_gpt":0.29626850666162025,"score_spread":0.21640830206098363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W592673748","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70741946,0.00008866576,0.00007691358,0.023086013,0.00014581507,0.0010016165,0.000012641132,0.00012474436,0.26804414],"genre_scores_gemma":[0.86226594,0.00003086563,0.00002023512,0.00021401551,0.00025813442,0.0000033172507,0.000004114879,0.000011870671,0.13719147],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.995993,0.0012920586,0.00020159011,0.0004504821,0.0011114501,0.0009514175],"domain_scores_gemma":[0.9980618,0.0003673209,0.000076092016,0.00088819047,0.00028810833,0.00031851933],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0020823893,0.00015920441,0.00016502927,0.00013218536,0.0076429285,0.00025333575,0.0026481897,0.00013641697,0.0007338456],"category_scores_gemma":[0.000058261838,0.00009210137,0.00023026383,0.0016107223,0.0016519316,0.0017979272,0.00019650876,0.00080177817,0.000050172363],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035711794,0.00021859126,0.7808868,0.000029599905,0.0000837718,0.0002568615,0.046325058,0.0000041066146,0.00004105824,0.03506346,0.13646784,0.00026569443],"study_design_scores_gemma":[0.000119759396,0.000052425457,0.4919368,0.00001223297,0.00002642472,5.956265e-7,0.01588879,0.000009700246,0.0009142183,0.0008004763,0.49012056,0.000118021104],"about_ca_topic_score_codex":0.07250419,"about_ca_topic_score_gemma":0.0042469874,"teacher_disagreement_score":0.35365272,"about_ca_system_score_codex":0.00022539168,"about_ca_system_score_gemma":0.0009021319,"threshold_uncertainty_score":0.993649},"labels":[],"label_agreement":null},{"id":"W594272430","doi":"10.5198/jtlu.v7i2.494","title":"Network structure and metropolitan mobility","year":2014,"lang":"en","type":"article","venue":"Journal of Transport and Land Use","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"École Polytechnique Fédérale de Lausanne; McGill University","keywords":"Metropolitan area; Transport engineering; Aggregate (composite); Computer science; Network structure; Regression analysis; Econometrics; Geography; Engineering; Economics; Machine learning","score_opus":0.016407264738999318,"score_gpt":0.26715318107558855,"score_spread":0.2507459163365892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W594272430","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980807,0.0005755724,0.0002621056,0.00035590093,0.00019035325,0.000058932783,0.000010100429,0.000008946969,0.00045744132],"genre_scores_gemma":[0.998627,0.0001537518,0.00048870826,0.00011694957,0.0005164995,1.913226e-7,0.0000021871597,0.0000047673407,0.00008991479],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991262,0.00006639457,0.0002901258,0.00011273434,0.00021251786,0.00019203687],"domain_scores_gemma":[0.9994144,0.00008659829,0.00013237986,0.0000795748,0.0000833705,0.00020368303],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007444897,0.000086880806,0.00024846912,0.000034144152,0.0002227541,0.000049630427,0.000094481205,0.000087897395,0.00008395401],"category_scores_gemma":[0.00002921127,0.00006061769,0.00006307135,0.000099987905,0.0002160104,0.00040312437,0.0000029375924,0.00018130863,9.962213e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006457652,0.000021389433,0.99702895,0.000017181317,0.000016974236,0.0000056444164,0.0008223619,0.000004736058,0.000009207311,0.0011288602,0.0000770191,0.000803095],"study_design_scores_gemma":[0.0003642563,0.00006215819,0.9718373,0.00001937617,0.000072315466,0.0000023061907,0.00017702856,0.000005311543,0.0000075201483,0.007526209,0.019845983,0.00008026837],"about_ca_topic_score_codex":0.0011196195,"about_ca_topic_score_gemma":0.005394235,"teacher_disagreement_score":0.025191687,"about_ca_system_score_codex":0.000019318073,"about_ca_system_score_gemma":0.00004477091,"threshold_uncertainty_score":0.30101097},"labels":[],"label_agreement":null},{"id":"W594805537","doi":"","title":"Using Home-to-Work Travel Data, Monitoring and Characterization of Travelers: a Twenty-year Perspective. Utilisation des donnees sur le deplacements domicile-travail, suivi et caracterisation des navatteurs: une perspective sur 20 ans","year":2004,"lang":"fr","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Geography; Art","score_opus":0.08810986789534563,"score_gpt":0.32652998377474435,"score_spread":0.2384201158793987,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W594805537","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98519003,0.00093947625,0.010612381,0.0009625057,0.00059118215,0.0009361472,0.00039190607,0.0000649837,0.00031137175],"genre_scores_gemma":[0.99551207,0.0007033621,0.0027318255,0.000027139302,0.00034421287,0.000011786349,0.00018393829,0.000050773615,0.00043491498],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9966347,0.00036227956,0.0007019028,0.0009935881,0.00060916774,0.00069831114],"domain_scores_gemma":[0.99791765,0.00011403651,0.00040714175,0.00041846983,0.00086535624,0.0002773266],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012410044,0.00042359135,0.00055372756,0.00023202,0.0006832391,0.00029167655,0.00041382303,0.00025365024,0.00008173286],"category_scores_gemma":[0.00015571296,0.00046965986,0.00010850305,0.0014032841,0.0011846808,0.004191406,0.00008071016,0.00026037975,0.0000047514404],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034183325,0.0007628576,0.695935,0.00017170081,0.00018004235,0.0000038510825,0.21160921,0.00020002361,0.086966135,0.00210734,0.0000036093345,0.0017183842],"study_design_scores_gemma":[0.0015719128,0.00012691034,0.85830665,0.0005817775,0.00018298373,0.0000013320038,0.1269485,0.0001322039,0.010269009,0.0014244654,0.00001790065,0.00043637454],"about_ca_topic_score_codex":0.17241764,"about_ca_topic_score_gemma":0.031263385,"teacher_disagreement_score":0.16237162,"about_ca_system_score_codex":0.0013948205,"about_ca_system_score_gemma":0.00076700805,"threshold_uncertainty_score":0.9997755},"labels":[],"label_agreement":null},{"id":"W595437419","doi":"","title":"Gender Differences in Activity Participation, Time-of-Day, and Duration Choices: New Evidences from Calgary","year":2010,"lang":"en","type":"article","venue":"Transportation Research Board 89th Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Duration (music); Time-use survey; Sociality; Demography; Demographic economics; Psychology; Work (physics); Sociology; Economics; Ecology","score_opus":0.10847851165458279,"score_gpt":0.4165497499704753,"score_spread":0.3080712383158925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W595437419","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9942119,0.00024909104,0.00035086996,0.0015157661,0.00021427387,0.0015604376,0.00020368698,0.00012152489,0.0015724176],"genre_scores_gemma":[0.9964324,0.00043750778,0.0014178505,0.000027045022,0.0003310667,0.00019920645,0.00020013035,0.000038613547,0.0009161389],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9900161,0.0020262296,0.0013688805,0.0011633809,0.0040617064,0.0013636892],"domain_scores_gemma":[0.9930982,0.003225996,0.0003393097,0.00048071216,0.0019997275,0.00085606],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.009688606,0.00034327974,0.00062596466,0.00097254507,0.0010664338,0.00025733776,0.00076205976,0.0005106208,0.0015271812],"category_scores_gemma":[0.0015170308,0.00034139285,0.00014807512,0.002357638,0.0021522148,0.0021122308,0.000014037899,0.001954273,0.00004189365],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000488106,0.00029790995,0.932364,0.00012947666,0.00003996413,0.000023095632,0.050582018,0.00001437089,0.0070983386,0.0018190388,0.0002871564,0.006856556],"study_design_scores_gemma":[0.00088707416,0.00015144487,0.9834934,0.0001457747,0.00003278424,1.7278309e-8,0.005435012,0.00023789196,0.0020777567,0.005530564,0.0016761719,0.00033213547],"about_ca_topic_score_codex":0.24273598,"about_ca_topic_score_gemma":0.5397314,"teacher_disagreement_score":0.2969954,"about_ca_system_score_codex":0.00009687047,"about_ca_system_score_gemma":0.0017509136,"threshold_uncertainty_score":0.9999038},"labels":[],"label_agreement":null},{"id":"W596460047","doi":"","title":"Calculating and Comparing Children of Contrasting Socioeconomic Status’ Accessibility to Food Environments Using Activity-Travel Data","year":2015,"lang":"en","type":"article","venue":"Transportation Research Board 94th Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Socioeconomic status; Overweight; Geography; Environmental health; Childhood obesity; Body mass index; Obesity; Demography; Psychology; Medicine; Population; Sociology","score_opus":0.2284966738584392,"score_gpt":0.4449077314920977,"score_spread":0.21641105763365853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W596460047","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99220765,0.00020551473,0.0029089563,0.00042223584,0.00011856109,0.002377005,0.0010855345,0.0000759782,0.0005985591],"genre_scores_gemma":[0.9961125,0.00007250495,0.0028875764,0.000026610502,0.0002102417,0.000073682924,0.0004705091,0.00006829329,0.000078034005],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9892067,0.0017940317,0.0014244628,0.0016698854,0.00382123,0.002083711],"domain_scores_gemma":[0.9945492,0.00097090466,0.00040659035,0.00094451656,0.0014519282,0.0016768713],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.014750359,0.00039691688,0.00082212733,0.00080901437,0.0015685388,0.0002733492,0.0013374874,0.0003339496,0.00009420248],"category_scores_gemma":[0.0010692481,0.0004433683,0.00012772514,0.0013244591,0.0019106665,0.0023558321,0.00008784001,0.0013590517,0.000015246271],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000612257,0.00026931116,0.96611935,0.00015774927,0.00010688743,0.00000810639,0.027518759,0.00080798403,0.0023848068,0.000460308,0.00008385111,0.0014706515],"study_design_scores_gemma":[0.001567545,0.000291517,0.9713347,0.00015356355,0.0000572268,7.340411e-8,0.022788206,0.0012351243,0.0012658274,0.00056066574,0.0003357869,0.00040975327],"about_ca_topic_score_codex":0.089820296,"about_ca_topic_score_gemma":0.08906174,"teacher_disagreement_score":0.013681111,"about_ca_system_score_codex":0.0005373995,"about_ca_system_score_gemma":0.0015902733,"threshold_uncertainty_score":0.9998018},"labels":[],"label_agreement":null},{"id":"W596717316","doi":"","title":"Modeling Short-Term and Long-Term Responses to the Increase in Gas Price: A Latent Class Modeling Approach","year":2014,"lang":"en","type":"article","venue":"Transportation Research Board 93rd Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Multinomial logistic regression; Term (time); Latent class model; TRIPS architecture; Econometrics; Consumption (sociology); Economics; Household income; Demographic economics; Geography; Statistics; Mathematics; Transport engineering; Engineering","score_opus":0.096534096887634,"score_gpt":0.40231220276654406,"score_spread":0.3057781058789101,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W596717316","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9799294,0.00028843124,0.010304092,0.004306529,0.00011863478,0.0033333618,0.00014371685,0.00021904489,0.0013568265],"genre_scores_gemma":[0.99598664,0.00057656487,0.0011819119,0.00013186419,0.0003826557,0.0008566779,0.00026702817,0.00009785646,0.00051880657],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98498863,0.003762165,0.0016410088,0.0017851398,0.0052848607,0.0025381853],"domain_scores_gemma":[0.993644,0.0013932579,0.00011084485,0.00086037547,0.0027482137,0.0012433174],"candidate_categories":["metaepi_narrow","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.023349809,0.0005189002,0.00070282596,0.0016006982,0.0025598535,0.0006024189,0.0014187439,0.000472949,0.0001051165],"category_scores_gemma":[0.0010971366,0.00045763905,0.00023699045,0.0033918866,0.0011540783,0.0012794221,0.000040428913,0.0024185295,0.000033710374],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022224265,0.0005213035,0.90107155,0.00046184292,0.000057127552,0.000091485104,0.056621462,0.029684667,0.0005264223,0.004433656,0.00011733683,0.0041907206],"study_design_scores_gemma":[0.001426713,0.00036246487,0.92371935,0.0004968118,0.000053334876,3.3086135e-7,0.016525958,0.05453482,0.000078604426,0.0012469472,0.00077037513,0.000784271],"about_ca_topic_score_codex":0.040716782,"about_ca_topic_score_gemma":0.1891477,"teacher_disagreement_score":0.14843091,"about_ca_system_score_codex":0.00038003345,"about_ca_system_score_gemma":0.0008853033,"threshold_uncertainty_score":0.99988294},"labels":[],"label_agreement":null},{"id":"W597382638","doi":"","title":"Accounting for Weather Conditions When Comparing Multiple Years of Bicycle Demand Data","year":2015,"lang":"en","type":"article","venue":"Transportation Research Board 94th Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cycling; Demand forecasting; Raw data; Survey data collection; Order (exchange); Econometrics; Regression analysis; Environmental science; Transport engineering; Meteorology; Computer science; Geography; Statistics; Operations research; Business; Engineering; Economics; Mathematics","score_opus":0.22060673496913094,"score_gpt":0.4561318076174313,"score_spread":0.23552507264830033,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W597382638","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98836774,0.00029086924,0.0023500742,0.0012629617,0.00024908298,0.0027366653,0.002161701,0.00020533131,0.0023755922],"genre_scores_gemma":[0.99125046,0.00007880405,0.0046994947,0.000037061793,0.0003851487,0.0003456261,0.0023031072,0.00007958554,0.00082070375],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9900897,0.001139589,0.0013864395,0.0012142769,0.004446799,0.0017232046],"domain_scores_gemma":[0.98960304,0.002569125,0.00033761535,0.0010232804,0.0055767726,0.0008901538],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.017078402,0.0002960876,0.00064623525,0.0009671733,0.001359632,0.00024560385,0.0019057316,0.00035237183,0.00023393922],"category_scores_gemma":[0.002376338,0.00033825487,0.00020933176,0.0018661913,0.0019707321,0.0021377183,0.000034712586,0.001018866,0.000043378484],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009707446,0.00046187607,0.9345039,0.00035291936,0.00011455996,0.00003135208,0.04749161,0.0005607599,0.0007261235,0.0038098365,0.009380831,0.0015954447],"study_design_scores_gemma":[0.0032300635,0.00028296708,0.88240254,0.00027229628,0.000084424835,6.985224e-8,0.051787853,0.0010258659,0.00056158914,0.008009898,0.051843308,0.00049910287],"about_ca_topic_score_codex":0.064714864,"about_ca_topic_score_gemma":0.18457817,"teacher_disagreement_score":0.1198633,"about_ca_system_score_codex":0.00021642272,"about_ca_system_score_gemma":0.0017070435,"threshold_uncertainty_score":0.99994045},"labels":[],"label_agreement":null},{"id":"W601678674","doi":"10.1068/b130140p","title":"Smog and socioeconomics: an evaluation of equity in traffic-related air pollution generation and exposure","year":2015,"lang":"en","type":"article","venue":"Environment and Planning B Planning and Design","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Disadvantage; Environmental justice; Equity (law); Metropolitan area; Disadvantaged; Air pollution; Polluter pays principle; Social equality; Pollution; Geography; Natural resource economics; Economic growth; Economics; Political science; Law; Ecology","score_opus":0.15863995575936155,"score_gpt":0.34613793738920073,"score_spread":0.1874979816298392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W601678674","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9943884,0.0044399346,0.0005848626,0.00010050629,0.00004709837,0.00021087407,0.0000044964518,0.00001452919,0.00020927843],"genre_scores_gemma":[0.99922925,0.000084266954,0.00054800103,0.00002345404,0.000053970838,0.000005830773,0.000029270159,0.000004443473,0.000021506221],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989887,0.00026306344,0.00019667156,0.0002343684,0.0001828307,0.00013438682],"domain_scores_gemma":[0.99968797,0.000051012757,0.00008917782,0.000053892803,0.000010419567,0.00010752939],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028757188,0.00009130049,0.0001403246,0.000058726182,0.0002627289,0.000036290727,0.000032375887,0.00012421208,0.000007912849],"category_scores_gemma":[0.000031660362,0.00009176027,0.000008110513,0.000029956522,0.00019023441,0.00032760503,0.00001798821,0.000084569794,2.1976116e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007995612,0.000042789463,0.868683,0.000012240112,0.000013795972,0.0000024997244,0.070246324,0.046584032,0.00037979396,0.00009261727,0.00006775323,0.013795242],"study_design_scores_gemma":[0.0014688895,0.00023084687,0.9312694,0.00005139741,0.000071065195,0.0000012524721,0.008020494,0.056899264,0.00011543567,0.0015059173,0.00015071368,0.00021531616],"about_ca_topic_score_codex":0.00016470096,"about_ca_topic_score_gemma":0.000031700612,"teacher_disagreement_score":0.06258645,"about_ca_system_score_codex":0.000048616763,"about_ca_system_score_gemma":0.000057330613,"threshold_uncertainty_score":0.3741875},"labels":[],"label_agreement":null},{"id":"W602212038","doi":"10.2174/187444780701011087","title":"Transport Policy in Aging Societies: An International Comparison and Implications for Canada","year":2007,"lang":"en","type":"article","venue":"The Open Transportation Journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"","keywords":"Variety (cybernetics); Transport policy; Checklist; Context (archaeology); Developed country; Public economics; Business; Regional science; Political science; Economics; Public transport; Psychology; Sociology; Geography; Medicine; Computer science; Environmental health","score_opus":0.047837963732927986,"score_gpt":0.4059211005104108,"score_spread":0.3580831367774828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W602212038","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9723345,0.00006838566,0.0069567435,0.016809465,0.00021334969,0.00047402483,0.000077135155,0.000010848919,0.003055517],"genre_scores_gemma":[0.9980923,0.00007143253,0.0007472337,0.000494541,0.0002714417,0.000013287656,0.00006832543,0.000008262404,0.0002331751],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988476,0.000040078696,0.0004665842,0.00015363992,0.00022805271,0.00026404994],"domain_scores_gemma":[0.99934924,0.0001075805,0.00016490657,0.00009515578,0.00012937424,0.0001537167],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020471304,0.00008210622,0.00013587993,0.000063437175,0.00080769794,0.0001483233,0.00065673166,0.00004404335,0.00007168554],"category_scores_gemma":[0.000018300501,0.00006842696,0.00004141266,0.00022954807,0.00013462314,0.00083235133,0.0000020862217,0.00019153536,1.0805093e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054254993,0.000048230322,0.9632423,0.000004744959,0.000013933186,0.0000017481589,0.020046191,0.00008479793,0.000030372854,0.009516841,0.00015005251,0.006806551],"study_design_scores_gemma":[0.00049322046,0.000012327879,0.9645513,0.000013374443,0.00001585234,7.8117597e-7,0.011078941,0.000014110405,0.000025422263,0.005937805,0.017767148,0.000089711575],"about_ca_topic_score_codex":0.31244093,"about_ca_topic_score_gemma":0.96851844,"teacher_disagreement_score":0.6560775,"about_ca_system_score_codex":0.0001784769,"about_ca_system_score_gemma":0.001043998,"threshold_uncertainty_score":0.6921376},"labels":[],"label_agreement":null},{"id":"W603504559","doi":"","title":"REDUCING CAR USE FOR SHORT TRIPS {PRIVATE}","year":2001,"lang":"en","type":"article","venue":"Selected Proceedings of the 9th World Conference on Transport ResearchWorld Conference on Transport Research Society","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"TRIPS architecture; Work (physics); Public transport; Transport engineering; Quarter (Canadian coin); Scope (computer science); Government (linguistics); Business; Order (exchange); Kilometer; Mode choice; Engineering; Geography; Finance; Computer science","score_opus":0.19200787736783725,"score_gpt":0.38649474903441766,"score_spread":0.1944868716665804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W603504559","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93036443,0.0000874495,0.0002488986,0.013511366,0.00045294213,0.0056868675,0.0002318544,0.00045049808,0.0489657],"genre_scores_gemma":[0.9584826,0.0018983781,0.00071749196,0.00016071483,0.0003861663,0.0006797611,0.00012863208,0.00012805327,0.037418168],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98650414,0.00030202727,0.0016509491,0.002232479,0.005665719,0.0036446888],"domain_scores_gemma":[0.9889176,0.0008690863,0.00037316725,0.001059976,0.0076578273,0.0011223397],"candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.007970466,0.00091899035,0.0013121687,0.00085816835,0.0034603435,0.00050031615,0.0043927794,0.0006164521,0.0011722292],"category_scores_gemma":[0.00055672944,0.0007562356,0.0012500073,0.008718156,0.0040921853,0.0014554027,0.00007518137,0.0041105365,0.000017638486],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005387046,0.0022002775,0.5723535,0.0010668603,0.0006607839,0.00003587028,0.016696414,0.000042791613,0.04021409,0.34500083,0.007837028,0.008504496],"study_design_scores_gemma":[0.0055754934,0.0024741,0.74633455,0.0054759947,0.0005041045,0.000006070391,0.011588724,0.00139431,0.06636261,0.042695247,0.11382707,0.0037617339],"about_ca_topic_score_codex":0.004262044,"about_ca_topic_score_gemma":0.012421018,"teacher_disagreement_score":0.3023056,"about_ca_system_score_codex":0.0007611822,"about_ca_system_score_gemma":0.003897305,"threshold_uncertainty_score":0.99974084},"labels":[],"label_agreement":null},{"id":"W605293280","doi":"10.1007/s11116-015-9631-0","title":"Impacts of built environment and emerging green technologies on daily transportation greenhouse gas emissions in Quebec cities: a disaggregate modeling approach","year":2015,"lang":"en","type":"article","venue":"Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval; Concordia University; McGill University","funders":"","keywords":"Greenhouse gas; Fuel efficiency; Ordinary least squares; Consumption (sociology); Population; Demographics; Environmental science; Transport engineering; Econometrics; Environmental economics; Geography; Engineering; Economics","score_opus":0.03848476409651193,"score_gpt":0.2828108555143661,"score_spread":0.24432609141785416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W605293280","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99426854,0.00031574708,0.004035889,0.00047438205,0.000032267475,0.00040799743,0.000058528098,0.00014383452,0.0002628166],"genre_scores_gemma":[0.99854785,0.00028149333,0.00082712056,0.000011543216,0.000018320226,0.000034125507,0.00016798839,0.000017302002,0.000094250405],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99831563,0.000051334493,0.0005151276,0.00035663537,0.00047153098,0.0002897666],"domain_scores_gemma":[0.9994508,0.000032681903,0.00016344692,0.00018868507,0.000040676845,0.00012368357],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043825418,0.00017809193,0.00026363618,0.00019327858,0.00013247125,0.000021543496,0.00017088276,0.00016659126,0.0000131026],"category_scores_gemma":[0.00002000478,0.00016965621,0.00006379452,0.0003184832,0.0002464034,0.0006227825,0.0000016178602,0.00017296344,8.8776574e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024085157,0.00030452025,0.841993,0.00016855358,0.000020133424,0.000010941457,0.1294943,0.011010069,0.0004956917,0.0016286072,0.000008784866,0.014624569],"study_design_scores_gemma":[0.0034247164,0.00029752826,0.8061971,0.000519088,0.00020427429,1.9636539e-7,0.1609252,0.009105614,0.0013850891,0.016637355,0.0003799671,0.0009239036],"about_ca_topic_score_codex":0.19146192,"about_ca_topic_score_gemma":0.33193058,"teacher_disagreement_score":0.14046866,"about_ca_system_score_codex":0.00010519443,"about_ca_system_score_gemma":0.0001335286,"threshold_uncertainty_score":0.8139222},"labels":[],"label_agreement":null},{"id":"W605373120","doi":"","title":"Comparison of Trip Generation Results from Activity-Based and Traditional Four-Step Travel Demand Modeling: A Case Study of Tampa, Florida","year":2012,"lang":"en","type":"article","venue":"2012 CONFERENCE AND EXHIBITION OF THE TRANSPORTATION ASSOCIATION OF CANADA - TRANSPORTATION: INNOVATIONS AND OPPORTUNITIES","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Trip generation; Travel behavior; Trip distribution; Demand forecasting; Travel survey; Transport engineering; Salient; Population; Operations research; Mode choice; Travel time; Geography; Computer science; Public transport; Engineering; Artificial intelligence; Demography","score_opus":0.18997021305041614,"score_gpt":0.30828474576233167,"score_spread":0.11831453271191553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W605373120","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9911959,0.00008840969,0.0044374457,0.0009863866,0.00016808503,0.00044678396,0.0025245266,0.000008895045,0.00014353325],"genre_scores_gemma":[0.998787,0.000051619452,0.0002519904,0.00004085646,0.000060397895,0.000023233433,0.00070536445,0.000008692283,0.00007084933],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975318,0.00016523864,0.0011913603,0.00020000659,0.00073216984,0.00017946787],"domain_scores_gemma":[0.9972507,0.00025097354,0.0012698558,0.00013671565,0.0009871812,0.00010459951],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083574175,0.0001678479,0.0004474797,0.00015630221,0.00038133407,0.000019579598,0.000079969,0.00014105519,0.000059659],"category_scores_gemma":[0.00004432483,0.00016196034,0.000058101516,0.0003186199,0.00021439437,0.0007309301,0.0000014925679,0.00013786816,1.2222572e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036687593,0.0010469998,0.89421314,0.00032151604,0.0002437245,0.0000052060586,0.070332386,0.0015814698,0.0022262752,0.027076604,0.00035770895,0.0022281166],"study_design_scores_gemma":[0.0030552128,0.00016625262,0.92253387,0.00013193961,0.00048282277,5.69016e-7,0.06423497,0.005489286,0.00291185,0.0005497132,0.00014101874,0.00030250967],"about_ca_topic_score_codex":0.13853452,"about_ca_topic_score_gemma":0.6557013,"teacher_disagreement_score":0.5171668,"about_ca_system_score_codex":0.00005427262,"about_ca_system_score_gemma":0.0008123036,"threshold_uncertainty_score":0.86720204},"labels":[],"label_agreement":null},{"id":"W606264317","doi":"","title":"Sampling Design and Data Collection for NEWPATH Survey","year":2013,"lang":"en","type":"article","venue":"Transportation Research Board 92nd Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sampling design; Data collection; Walkability; Sampling (signal processing); Survey data collection; Oversampling; Statistics; Survey sampling; Survey methodology; Stratified sampling; Survey research; Sample (material); Geography; Sample size determination; Population; Computer science; Environmental health; Built environment; Mathematics; Psychology; Applied psychology; Engineering; Medicine; Telecommunications","score_opus":0.2847796291711124,"score_gpt":0.4754636985203502,"score_spread":0.19068406934923782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W606264317","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.943898,0.00041385586,0.041300744,0.004458255,0.00028840228,0.007512226,0.0011364426,0.00032199136,0.00067007507],"genre_scores_gemma":[0.9708776,0.0006993237,0.022579888,0.00006884273,0.0003286796,0.0012139122,0.0022128012,0.000095953525,0.0019229976],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9881987,0.0030801964,0.0012259141,0.0017949343,0.0036010076,0.0020992632],"domain_scores_gemma":[0.984882,0.006414825,0.00021932712,0.00091698865,0.00663806,0.00092882046],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.026458437,0.00038591,0.0005672992,0.0009743492,0.0038874613,0.0007764151,0.0014416496,0.00045012275,0.00054364937],"category_scores_gemma":[0.002308142,0.00040135937,0.00013166135,0.0028968202,0.0018493673,0.0028314774,0.000027615697,0.0012512075,0.000060821752],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002069557,0.0007014154,0.88714874,0.0006942253,0.00019583033,0.000023195822,0.037933186,0.00040956226,0.0022428054,0.0047093253,0.04938063,0.014491524],"study_design_scores_gemma":[0.0014013839,0.00037680537,0.9526189,0.00013781042,0.00003926975,5.553954e-8,0.0135675995,0.0012502901,0.00028497528,0.005085907,0.024724593,0.00051238947],"about_ca_topic_score_codex":0.18096116,"about_ca_topic_score_gemma":0.15864912,"teacher_disagreement_score":0.065470174,"about_ca_system_score_codex":0.00023113907,"about_ca_system_score_gemma":0.0014418355,"threshold_uncertainty_score":0.99984384},"labels":[],"label_agreement":null},{"id":"W608530378","doi":"10.71781/1262","title":"Associations entre port du casque, comportements sécuritaires à vélo et habitudes de vie","year":2014,"lang":"fr","type":"dissertation","venue":"Open MIND","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Art; Sociology","score_opus":0.035514815754262456,"score_gpt":0.36165062040694396,"score_spread":0.3261358046526815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W608530378","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7853456,0.0003091088,0.00003185139,0.0014962433,0.0009718,0.00093146804,0.00036874326,0.0000064674855,0.21053873],"genre_scores_gemma":[0.962528,0.000112773145,0.0011908677,0.00020025353,0.0003658927,0.00005375642,0.0047700815,0.00003344263,0.030744933],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9965379,0.00044251795,0.00091393205,0.0007511184,0.00072862004,0.0006258895],"domain_scores_gemma":[0.99789864,0.00021953988,0.0009277033,0.00033985561,0.00031770984,0.00029652863],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0021224145,0.0004076669,0.0007053525,0.00007769995,0.0011418241,0.0006773595,0.0012803726,0.00051827566,0.011587959],"category_scores_gemma":[0.00018920662,0.000436001,0.00026526419,0.00037442852,0.0002473035,0.00091966684,0.000082226405,0.0004196489,0.0005222044],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003214295,0.00073743745,0.955922,0.000047933092,0.00021439929,0.000033037137,0.024500217,0.000013940258,0.00006020322,0.0010979408,0.0024717348,0.014868978],"study_design_scores_gemma":[0.0005610605,0.000049082995,0.83576685,0.00026158238,0.00039533162,4.871501e-7,0.0056954483,0.000046996716,0.00029463816,0.0010186299,0.15537222,0.0005376882],"about_ca_topic_score_codex":0.029994562,"about_ca_topic_score_gemma":0.34942672,"teacher_disagreement_score":0.31943214,"about_ca_system_score_codex":0.00039249225,"about_ca_system_score_gemma":0.0017054455,"threshold_uncertainty_score":0.9998092},"labels":[],"label_agreement":null},{"id":"W608929157","doi":"","title":"Uniquely Satisfied: Exploring Cyclist Trip Satisfaction","year":2013,"lang":"en","type":"article","venue":"Transportation Research Board 92nd Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cycling; TRIPS architecture; Transport engineering; Intersection (aeronautics); Travel behavior; Geography; Psychology; Applied psychology; Engineering","score_opus":0.14366728829614098,"score_gpt":0.4143065864053037,"score_spread":0.27063929810916276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W608929157","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9760633,0.0002448382,0.00037139998,0.007237986,0.0004995234,0.0036170513,0.00036679787,0.00068342447,0.010915638],"genre_scores_gemma":[0.9902303,0.0009903336,0.0019215073,0.00011439905,0.000518014,0.0022536702,0.00044935744,0.00013056239,0.003391815],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9836846,0.0027498887,0.0018015223,0.0016771683,0.007083393,0.003003447],"domain_scores_gemma":[0.98921174,0.0018937724,0.00030732842,0.00084805395,0.0063158106,0.0014233057],"candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.010080156,0.00056764384,0.00073232735,0.0017139051,0.0040218844,0.0008220656,0.0011547444,0.0005756205,0.004794509],"category_scores_gemma":[0.0008249276,0.0006006244,0.00039827623,0.0043760343,0.0025689695,0.005005733,0.000018418204,0.0028016504,0.0007700508],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043578664,0.00037788576,0.8993921,0.00035876242,0.00010739091,0.000101430516,0.04006764,0.00013996076,0.0030059807,0.020068951,0.012324066,0.023620032],"study_design_scores_gemma":[0.0011021445,0.0002471479,0.920833,0.00021024185,0.00003260295,7.9847325e-8,0.039551616,0.000031299543,0.0009962769,0.008443414,0.02794209,0.00061007607],"about_ca_topic_score_codex":0.3215646,"about_ca_topic_score_gemma":0.24976721,"teacher_disagreement_score":0.071797416,"about_ca_system_score_codex":0.0006290566,"about_ca_system_score_gemma":0.0012331267,"threshold_uncertainty_score":0.9996445},"labels":[],"label_agreement":null},{"id":"W610994705","doi":"","title":"Travel behavior of low income older adults and development of an Accessibility calculator","year":2015,"lang":"en","type":"article","venue":"Transportation Research Board 94th Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Spouse; Neighbourhood (mathematics); Socioeconomic status; Car ownership; Multilevel model; Demography; Population; Travel behavior; Geography; Credence; Household income; Multinomial logistic regression; Psychology; Gerontology; Medicine; Public transport; Transport engineering; Sociology; Mathematics; Statistics; Engineering","score_opus":0.08053872285860525,"score_gpt":0.42223581404372823,"score_spread":0.341697091185123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W610994705","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99563223,0.00022035494,0.0002951314,0.0001749092,0.00012868806,0.0025084575,0.0003985344,0.00009792457,0.00054377544],"genre_scores_gemma":[0.9943194,0.000050620125,0.004578207,0.0000106266925,0.00010490833,0.00035618184,0.00035408806,0.000055587192,0.00017040476],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9878789,0.00157257,0.0020394821,0.0011979091,0.005888927,0.0014221774],"domain_scores_gemma":[0.989468,0.00061317015,0.00041813724,0.00065278664,0.007330828,0.001517124],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.013797274,0.0003700313,0.00077583763,0.0010260675,0.000932854,0.0001082624,0.001005081,0.0004674655,0.00026418688],"category_scores_gemma":[0.0005563109,0.00037150356,0.00015989157,0.0021688836,0.002834467,0.001696176,0.000020122903,0.0010849902,0.000010256426],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001648945,0.0013072217,0.83580625,0.00102462,0.000049377344,0.000042714244,0.14789636,0.000024090332,0.0009217461,0.00090354146,0.00005083459,0.0103243],"study_design_scores_gemma":[0.0021358745,0.00033998015,0.91977084,0.00035666348,0.000028979819,5.5429282e-8,0.06774679,0.000031878462,0.008665302,0.00034540673,0.0002431495,0.0003351144],"about_ca_topic_score_codex":0.03944245,"about_ca_topic_score_gemma":0.10824809,"teacher_disagreement_score":0.083964564,"about_ca_system_score_codex":0.00024481997,"about_ca_system_score_gemma":0.0031425497,"threshold_uncertainty_score":0.99987924},"labels":[],"label_agreement":null},{"id":"W611115995","doi":"10.3141/2073-09","title":"Walking Speed of Older Pedestrians who use Canes or Walkers for Mobility","year":2008,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Preferred walking speed; Intersection (aeronautics); Pedestrian; Power walking; Physical medicine and rehabilitation; Pedestrian crossing; Computer science; Transport engineering; Engineering; Medicine","score_opus":0.2025993626182691,"score_gpt":0.43757347056523405,"score_spread":0.23497410794696494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W611115995","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9938224,0.00013699784,0.00094096526,0.002027202,0.000482037,0.0022153307,0.0001900977,0.000031071584,0.00015390717],"genre_scores_gemma":[0.99380904,0.0011667929,0.0014244999,0.000029733039,0.00028232587,0.00005292192,0.000021678572,0.000047611917,0.0031654024],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99051255,0.001519999,0.0019254133,0.00051753654,0.004368418,0.0011561135],"domain_scores_gemma":[0.98873055,0.0033091547,0.0007160132,0.0005489848,0.0061703753,0.0005249418],"candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.007927685,0.0002667349,0.0007157542,0.00076487457,0.0017861774,0.00012056536,0.001427445,0.00029426414,0.0006220923],"category_scores_gemma":[0.0009798111,0.00019231874,0.0007075163,0.0025635946,0.0027447485,0.0014375572,0.000005269174,0.0014662447,0.000003336568],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003935417,0.0005544075,0.9557971,0.00040519284,0.00014827501,0.00009142474,0.030743975,0.00024604215,0.0010046124,0.0010772367,0.0036876502,0.0023086711],"study_design_scores_gemma":[0.0019095022,0.00047342622,0.97607934,0.0003301448,0.00007239385,2.4041478e-7,0.008045576,0.000033500783,0.0015483587,0.0013866295,0.009910721,0.00021014361],"about_ca_topic_score_codex":0.08803679,"about_ca_topic_score_gemma":0.29349872,"teacher_disagreement_score":0.20546193,"about_ca_system_score_codex":0.00032404353,"about_ca_system_score_gemma":0.0027950613,"threshold_uncertainty_score":0.9999692},"labels":[],"label_agreement":null},{"id":"W611646440","doi":"","title":"Exploring transit ridership drivers in Toronto and Melbourne","year":2010,"lang":"en","type":"article","venue":"Transportation Research Board 89th Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Transport engineering; Transit (satellite); Stock (firearms); Car ownership; Public transport; Business; Rail transit; Transit system; Geography; Engineering","score_opus":0.16217829866766545,"score_gpt":0.42394721597165297,"score_spread":0.26176891730398755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W611646440","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9823125,0.00027861216,0.00009003325,0.0037141398,0.00039712273,0.0018419994,0.00015882675,0.0002497255,0.010957047],"genre_scores_gemma":[0.99497616,0.001750378,0.0010128518,0.000046241355,0.00038549647,0.0005395882,0.00014321151,0.00008030343,0.0010657898],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9886475,0.001467511,0.0012672697,0.0014432403,0.0046509127,0.0025235605],"domain_scores_gemma":[0.9942243,0.0014922252,0.0001538025,0.00058302836,0.0022658247,0.0012807854],"candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.013791723,0.00043206406,0.0006097125,0.0010545171,0.0020202145,0.00035928865,0.000955725,0.00048358602,0.0019109619],"category_scores_gemma":[0.0006543924,0.0004747951,0.00021358243,0.002359944,0.0026443088,0.0041021584,0.000011674088,0.0032334868,0.000047118414],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009138304,0.00046786907,0.81657267,0.00036432096,0.00005798107,0.00019803108,0.13326085,0.000058578054,0.003855276,0.031915147,0.0004832068,0.011852259],"study_design_scores_gemma":[0.0014992222,0.00021873583,0.8762168,0.00015027246,0.000022859844,7.551424e-8,0.09519067,0.00002600459,0.00083553087,0.0020711003,0.023275463,0.0004932475],"about_ca_topic_score_codex":0.3125627,"about_ca_topic_score_gemma":0.91213596,"teacher_disagreement_score":0.59957325,"about_ca_system_score_codex":0.00046136184,"about_ca_system_score_gemma":0.0010170175,"threshold_uncertainty_score":0.9997704},"labels":[],"label_agreement":null},{"id":"W612248909","doi":"","title":"Toward Equitable Transit: Examining Transit Accessibilityand Social Need in Toronto, Canada, 1996-2006","year":2013,"lang":"en","type":"article","venue":"Transportation Research Board 92nd Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Public transport; Census; Equity (law); Disadvantaged; Transit (satellite); Social equality; Disadvantage; Business; Population; Geography; Transport engineering; Economic growth; Economics; Political science; Sociology; Engineering; Demography","score_opus":0.09558461978317113,"score_gpt":0.3987270218326848,"score_spread":0.3031424020495137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W612248909","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96713895,0.00083052233,0.00033966283,0.007889126,0.0003422462,0.0037471235,0.0007727587,0.00028387428,0.018655716],"genre_scores_gemma":[0.9945924,0.00024266729,0.0006177138,0.00018385451,0.00053385465,0.0010070151,0.00057813025,0.00012706532,0.0021172562],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.980781,0.0027779476,0.0023569888,0.0020238648,0.0076258527,0.0044343546],"domain_scores_gemma":[0.99203885,0.0015617665,0.00028784445,0.00066184445,0.004195277,0.0012544239],"candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.011988083,0.000704792,0.0011172176,0.00090215134,0.0031507756,0.00070892525,0.0018031657,0.0007511205,0.0051270565],"category_scores_gemma":[0.0004140169,0.0007603343,0.00032152247,0.0038529125,0.0019870505,0.0043510403,0.00002124627,0.0026004282,0.000061636114],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00094142306,0.00095474493,0.8537256,0.0009697297,0.00014004765,0.00035574546,0.11615989,0.00034976672,0.0030333376,0.004478591,0.010144891,0.008746211],"study_design_scores_gemma":[0.0019669107,0.00020500387,0.86077803,0.00019700367,0.000036688118,9.31515e-8,0.12624297,0.000064870525,0.00047325037,0.0013986416,0.007891162,0.0007453524],"about_ca_topic_score_codex":0.9872342,"about_ca_topic_score_gemma":0.99705255,"teacher_disagreement_score":0.027453471,"about_ca_system_score_codex":0.0024377357,"about_ca_system_score_gemma":0.0048139594,"threshold_uncertainty_score":0.9997006},"labels":[],"label_agreement":null},{"id":"W614885416","doi":"","title":"Travel Behavior of Car Share Members in Halifax, Canada: Modeling Trip Purpose in Case of the Use of Car Share Services and Mode Choice in Absence of the Service","year":2014,"lang":"en","type":"article","venue":"Transportation Research Board 93rd Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Market share; Carpool; Mode choice; Renting; Transport engineering; Service (business); Latent class model; Travel behavior; Car model; Mode (computer interface); Business; Public transport; Marketing; Advertising; Engineering; Computer science","score_opus":0.09673169365029832,"score_gpt":0.3786029069096676,"score_spread":0.28187121325936926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W614885416","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99494654,0.00012030907,0.000011873751,0.00070781243,0.00006431356,0.0021193358,0.0019425047,0.000010275689,0.00007701133],"genre_scores_gemma":[0.9993376,0.000084959305,0.00017475226,0.000027738539,0.000023179384,0.00016997392,0.000096232114,0.000033132044,0.000052422158],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99158883,0.0017331606,0.0019208295,0.0007110885,0.003139171,0.0009069457],"domain_scores_gemma":[0.9944979,0.0013260088,0.00046269782,0.0006204217,0.0028510077,0.00024194896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004996366,0.0002787222,0.0007333227,0.00069294457,0.00032556884,0.00003721624,0.0010933299,0.00030258117,0.0000612383],"category_scores_gemma":[0.00053959613,0.00023230608,0.00015981059,0.0040442147,0.0009508962,0.0008201798,0.000025977637,0.0011646212,1.6876578e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031719918,0.00025694654,0.9200713,0.0016519589,0.000016094733,0.000047531164,0.051809557,0.022256998,0.0028751835,0.00034482748,0.000011166943,0.0003412055],"study_design_scores_gemma":[0.0011891276,0.00006758473,0.9528561,0.0011538236,0.000028674047,1.8739414e-7,0.034925394,0.0067063384,0.0026684718,0.00013308624,0.00006947773,0.00020171033],"about_ca_topic_score_codex":0.9853603,"about_ca_topic_score_gemma":0.9987377,"teacher_disagreement_score":0.032784794,"about_ca_system_score_codex":0.0002369701,"about_ca_system_score_gemma":0.0017825477,"threshold_uncertainty_score":0.94731665},"labels":[],"label_agreement":null},{"id":"W615139268","doi":"","title":"Transport Survey Data: What in the World Is Happening?","year":2012,"lang":"en","type":"article","venue":"2012 CONFERENCE AND EXHIBITION OF THE TRANSPORTATION ASSOCIATION OF CANADA - TRANSPORTATION: INNOVATIONS AND OPPORTUNITIES","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Context (archaeology); Travel survey; Survey data collection; Public transport; Transportation planning; Data collection; Private transport; Data quality; Geography; Quality (philosophy); Business; Transport engineering; Travel behavior; Regional science; Engineering; Marketing; Sociology","score_opus":0.09887753488524124,"score_gpt":0.2995341804658888,"score_spread":0.20065664558064755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W615139268","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97934383,0.0005294084,0.00026766665,0.014993124,0.0003906575,0.0005019792,0.0022505627,0.00001623379,0.0017065183],"genre_scores_gemma":[0.9949571,0.0007401313,0.000071407696,0.0010301139,0.00005466632,0.000022575603,0.001672196,0.000009721931,0.0014421155],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974131,0.00022654193,0.00094043533,0.00022238836,0.0008758941,0.00032161694],"domain_scores_gemma":[0.99793804,0.0003292755,0.00071587024,0.00029450757,0.0006318769,0.00009043623],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025311937,0.00017576909,0.0003101433,0.00016150337,0.00045162727,0.00006070992,0.0003430677,0.000116985844,0.00039651373],"category_scores_gemma":[0.000039105496,0.0001431918,0.000050379163,0.0007992383,0.00031298475,0.0026458078,0.0000028115076,0.00021146196,1.4251395e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000286912,0.00008321397,0.9302744,0.0000839691,0.000038206457,6.849278e-7,0.018479137,0.0000056840327,0.000016573216,0.04728504,0.0026259588,0.0010783984],"study_design_scores_gemma":[0.00036407306,0.000009267854,0.9655317,0.00010948732,0.00008375827,9.295226e-8,0.01421245,0.000010148237,0.00007880458,0.0007772281,0.018662168,0.00016080287],"about_ca_topic_score_codex":0.16879481,"about_ca_topic_score_gemma":0.9501897,"teacher_disagreement_score":0.7813949,"about_ca_system_score_codex":0.00006500204,"about_ca_system_score_gemma":0.0009974823,"threshold_uncertainty_score":0.83674026},"labels":[],"label_agreement":null},{"id":"W615276689","doi":"","title":"Moving more with less: integrated transportation demand management at the University of British Columbia","year":2007,"lang":"en","type":"article","venue":"Transport Research Forum","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Downtown; Growth management; General partnership; Regional planning; Government (linguistics); Transport engineering; Plan (archaeology); Business; Sustainable transport; Transportation planning; Land-use planning; Local government; Land use; Environmental planning; Urban planning; Sustainability; Geography; Political science; Engineering; Public administration; Finance; Civil engineering","score_opus":0.028080570491751524,"score_gpt":0.3041316054227711,"score_spread":0.2760510349310196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W615276689","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9841455,0.00015083268,0.0026839038,0.00048814795,0.000032126605,0.0007220798,0.00011340737,0.000056193065,0.0116077885],"genre_scores_gemma":[0.9808975,0.0001790099,0.00021484095,0.000017980215,0.000016915757,0.0000030788506,0.00011167437,0.000012505179,0.018546503],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975115,0.00009353401,0.00024707543,0.00034098956,0.0011137408,0.00069317664],"domain_scores_gemma":[0.9991373,0.00009189272,0.00006883054,0.00023065625,0.00030720697,0.00016411333],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028656484,0.000082105085,0.00017786153,0.000063361644,0.0012571889,0.000043403485,0.0004932773,0.00010060235,0.0008493783],"category_scores_gemma":[0.0000042917177,0.00009189272,0.00009355011,0.0009598844,0.0016892004,0.0002887576,0.000008410175,0.00030523675,0.000004544795],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026118566,0.00011835238,0.98142207,0.00009245433,0.000057116376,0.00036075054,0.0059937085,0.000018143257,0.000048152346,0.00022049983,0.0011970744,0.010210495],"study_design_scores_gemma":[0.0004921556,0.000049334223,0.91573286,0.00010942035,0.00003988553,4.816079e-7,0.062269595,0.000003840714,0.000050951243,0.00019944759,0.020938264,0.00011376326],"about_ca_topic_score_codex":0.32028377,"about_ca_topic_score_gemma":0.97678113,"teacher_disagreement_score":0.65649736,"about_ca_system_score_codex":0.00017358258,"about_ca_system_score_gemma":0.00017230427,"threshold_uncertainty_score":0.9669407},"labels":[],"label_agreement":null},{"id":"W615426083","doi":"","title":"Exploring Differences in Child and Youth School Travel Mode Choice Behavior","year":2015,"lang":"en","type":"article","venue":"Transportation Research Board 94th Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Travel behavior; Sustainable transport; Mode choice; Psychology; Binary logit model; Public transport; Geography; Demographic economics; Transport engineering; Engineering; Sustainability; Economics","score_opus":0.2738363889931927,"score_gpt":0.42681848776970505,"score_spread":0.15298209877651237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W615426083","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9868986,0.000450864,0.000089264715,0.0018446204,0.00025109,0.0023800693,0.00050701504,0.00021464295,0.007363817],"genre_scores_gemma":[0.996166,0.00090669625,0.00042674356,0.000051349307,0.00040469965,0.0009866987,0.00033733094,0.00007648755,0.00064401265],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98723245,0.0018774444,0.0013743851,0.0014729825,0.0057008485,0.0023418954],"domain_scores_gemma":[0.99360245,0.00078859145,0.00018483223,0.0005393789,0.0028100926,0.0020746642],"candidate_categories":["metaepi_narrow","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.009746682,0.00046450942,0.0007142111,0.0017242405,0.0016317499,0.0004228335,0.000996593,0.00039428662,0.00021047797],"category_scores_gemma":[0.0012658988,0.00048034612,0.00017331394,0.0034086523,0.0020156298,0.0030635544,0.000018356583,0.002596646,0.000052249077],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004922523,0.00043222893,0.88607687,0.0001261482,0.000025040274,0.0000872185,0.1080083,0.000047635454,0.00008830792,0.0029234672,0.00013883531,0.0015536845],"study_design_scores_gemma":[0.0016641244,0.0002487878,0.84661984,0.00025878145,0.000035081892,9.355247e-8,0.14852738,0.000027958122,0.00017619433,0.0007163379,0.0012824587,0.00044297343],"about_ca_topic_score_codex":0.2432418,"about_ca_topic_score_gemma":0.3587416,"teacher_disagreement_score":0.11549981,"about_ca_system_score_codex":0.00043245315,"about_ca_system_score_gemma":0.0013319451,"threshold_uncertainty_score":0.9997648},"labels":[],"label_agreement":null},{"id":"W615584142","doi":"","title":"Walking school buses in Christchurch - do they encourage or discourage independent mobility?","year":2008,"lang":"en","type":"article","venue":"World Transport Policy and Practice","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Pedestrian; Poison control; Injury prevention; Suicide prevention; Human factors and ergonomics; Occupational safety and health; Independence (probability theory); Transport engineering; Traffic congestion; Level design; Variety (cybernetics); Gerontology; Environmental health; Business; Psychology; Engineering; Medicine; Computer science","score_opus":0.042209054203079806,"score_gpt":0.35939970031408824,"score_spread":0.31719064611100845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W615584142","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87394017,0.0007681732,0.000044838303,0.0055021658,0.00014066038,0.0005505692,0.000032131466,0.00010822957,0.118913084],"genre_scores_gemma":[0.99074954,0.002178486,0.0003099497,0.00076859636,0.0004921123,0.000042372416,0.000011541072,0.000022326663,0.005425084],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970348,0.00045347924,0.00059393514,0.0005865803,0.0006664069,0.0006648222],"domain_scores_gemma":[0.9976861,0.0012904808,0.00020334433,0.00036983803,0.00008470144,0.00036557592],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024629117,0.0002640994,0.00037025686,0.00025753176,0.0008491048,0.0000964289,0.0003880202,0.00014874424,0.0007203976],"category_scores_gemma":[0.00093512144,0.00022063563,0.00010663234,0.0010299213,0.0005117257,0.002259727,0.000018934468,0.0006882742,0.000020178042],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001520306,0.0009547373,0.91235167,0.00010599206,0.000061457045,0.0010296728,0.070745304,0.000029470135,0.00007688696,0.008818487,0.00015519034,0.0041508265],"study_design_scores_gemma":[0.0009287826,0.000052085805,0.8412415,0.000089226596,0.00007139994,0.00002608398,0.0057687573,0.0000027445826,0.000028872464,0.0026140912,0.14873242,0.0004440243],"about_ca_topic_score_codex":0.07101794,"about_ca_topic_score_gemma":0.19209412,"teacher_disagreement_score":0.14857724,"about_ca_system_score_codex":0.00017115522,"about_ca_system_score_gemma":0.0010599713,"threshold_uncertainty_score":0.9351682},"labels":[],"label_agreement":null},{"id":"W616410260","doi":"","title":"Exploring Route Choice Decision-Making Process: Comparison of Preplanned and Observed Routes Obtained Using Person-Based GPS","year":2008,"lang":"en","type":"article","venue":"Transportation Research Board 87th Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Global Positioning System; Route planning; Computer science; Preference; Data collection; Process (computing); Operations research; Transport engineering; Engineering; Telecommunications","score_opus":0.34711760445906215,"score_gpt":0.4585523472302456,"score_spread":0.11143474277118348,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W616410260","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9938165,0.0005091057,0.0014228295,0.000642521,0.00017526935,0.0021870448,0.00032666366,0.00026238803,0.0006577006],"genre_scores_gemma":[0.9932524,0.00016879865,0.005619147,0.00003349778,0.00020240768,0.0003494561,0.00018415014,0.000091667825,0.000098473436],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.987158,0.0014847312,0.0017606786,0.001439195,0.006160277,0.0019970892],"domain_scores_gemma":[0.9881135,0.004525817,0.00050700275,0.00061362685,0.005413213,0.0008267997],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.007227532,0.00049708807,0.0010023537,0.0014234555,0.0031917973,0.00019355862,0.0010303694,0.00038237227,0.00023288856],"category_scores_gemma":[0.0022283325,0.0005233651,0.00029941276,0.003813445,0.0026780737,0.0024648563,0.000012517899,0.0016189229,0.000008587507],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013815535,0.00043240035,0.91170925,0.0006494606,0.0000688049,0.00008525965,0.07763674,0.0043123728,0.0009562441,0.00043681948,0.00008336614,0.0022477373],"study_design_scores_gemma":[0.0016428747,0.00038751285,0.9244818,0.0010008353,0.0000634514,1.3927594e-7,0.066033736,0.0022212756,0.0024143448,0.0005460347,0.00065341796,0.00055456464],"about_ca_topic_score_codex":0.037303265,"about_ca_topic_score_gemma":0.05781245,"teacher_disagreement_score":0.020509183,"about_ca_system_score_codex":0.00032241282,"about_ca_system_score_gemma":0.0021147996,"threshold_uncertainty_score":0.99972177},"labels":[],"label_agreement":null},{"id":"W618096562","doi":"","title":"Analysis of Built Environment Influences on Walking Trips and Distance Walked in a Mid-sized Canadian City","year":2013,"lang":"en","type":"article","venue":"Transportation Research Board 92nd Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Walkability; TRIPS architecture; Pedestrian; Destinations; Geography; Transport engineering; Built environment; Urban design; Engineering","score_opus":0.05484122377435967,"score_gpt":0.37467250883056785,"score_spread":0.31983128505620817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W618096562","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99140507,0.00027784388,0.000055798548,0.0035781509,0.000058280413,0.001966069,0.0004511929,0.000058856273,0.0021487386],"genre_scores_gemma":[0.9975113,0.0006892148,0.00037740314,0.000060455503,0.00005819613,0.0004262973,0.00025955375,0.000034374272,0.0005831734],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99007535,0.0015839254,0.001419947,0.0011903109,0.003938471,0.0017919875],"domain_scores_gemma":[0.99508774,0.0016225007,0.0002462306,0.00052762113,0.0014735557,0.0010423401],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0080133155,0.00034980974,0.00080009265,0.0032317184,0.0011708156,0.00022826882,0.00079359295,0.00036504513,0.0016400423],"category_scores_gemma":[0.0005091311,0.00035279724,0.000259662,0.005363249,0.002252057,0.0012034081,0.000009111095,0.0012999624,0.000029878547],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035430174,0.00025933931,0.9548252,0.0001295236,0.00017318531,0.000046563695,0.037799142,0.000567949,0.00075307296,0.0014058681,0.00015940542,0.0035264431],"study_design_scores_gemma":[0.0009332377,0.0001738338,0.97514135,0.00015368614,0.00008928854,9.731504e-9,0.017355273,0.00015369098,0.00042012395,0.0019492101,0.0032991506,0.00033115712],"about_ca_topic_score_codex":0.8198513,"about_ca_topic_score_gemma":0.94293576,"teacher_disagreement_score":0.123084456,"about_ca_system_score_codex":0.0004972086,"about_ca_system_score_gemma":0.0010989461,"threshold_uncertainty_score":0.9998924},"labels":[],"label_agreement":null},{"id":"W618157719","doi":"","title":"Driving on the right vs. left side of the road: ergonomics and safety","year":2013,"lang":"en","type":"article","venue":"Routes/Roads","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Great Rift; Globe; Position (finance); Human factors and ergonomics; Left behind; Occupational safety and health; Poison control; Injury prevention; Suicide prevention; Political science; Psychology; Business; Medicine; Law; Environmental health","score_opus":0.010641129833829914,"score_gpt":0.23744804059849517,"score_spread":0.22680691076466525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W618157719","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9548146,0.00006361444,0.00002026309,0.0052831173,0.00023697021,0.00033033692,0.0000053899385,0.000027527936,0.039218195],"genre_scores_gemma":[0.99703765,0.000034018485,0.000042084714,0.00041345105,0.00013967982,0.0000058640576,0.000001317887,0.000007749272,0.0023182041],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99896526,0.0001361477,0.00023907995,0.00019995843,0.00021903448,0.0002405101],"domain_scores_gemma":[0.9991745,0.00024177752,0.00011935798,0.00034743585,0.000049015616,0.00006791686],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005999698,0.00010549224,0.00015562458,0.000017193248,0.00058212364,0.0000842958,0.00046465299,0.00008180693,0.00061438465],"category_scores_gemma":[0.000111105815,0.00005679283,0.00009222481,0.00012048099,0.00041878558,0.00023029275,0.000055871384,0.00016841954,0.000025204294],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026951704,0.00006962404,0.96443856,0.000009820775,0.000028887003,4.4843668e-7,0.0076562497,0.000018575738,0.00021118695,0.018794017,0.0019978744,0.006747808],"study_design_scores_gemma":[0.000113457434,0.000015862222,0.9812094,0.000026523507,0.000015173061,1.0350828e-7,0.00046493846,0.000101920916,0.0005580183,0.0038910226,0.013508556,0.00009502797],"about_ca_topic_score_codex":0.004702956,"about_ca_topic_score_gemma":0.009362123,"teacher_disagreement_score":0.042223047,"about_ca_system_score_codex":0.00005467372,"about_ca_system_score_gemma":0.00009249789,"threshold_uncertainty_score":0.7109494},"labels":[],"label_agreement":null},{"id":"W618675684","doi":"","title":"Building the Future Together: Transportation Professionals Across the Globe Work Together Through Association Involvement","year":2008,"lang":"en","type":"article","venue":"Mass transit","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Globe; Public transport; Association (psychology); Work (physics); Public relations; Transit (satellite); Transportation industry; Political science; Economic growth; Business; Transport engineering; Engineering; Medicine; Psychology; Economics","score_opus":0.026105386202445895,"score_gpt":0.31442617627607555,"score_spread":0.28832079007362965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W618675684","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9544828,0.0009207155,0.0033857126,0.038032196,0.0009196347,0.00080361904,0.000046177756,0.00012308327,0.0012860706],"genre_scores_gemma":[0.99449396,0.0001638592,0.0005529393,0.0016867188,0.0010722842,0.00008426781,0.000023622166,0.000019468986,0.0019029046],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997415,0.00035239992,0.0003806283,0.00032969046,0.0009866324,0.00053564704],"domain_scores_gemma":[0.9991104,0.00020405749,0.00019004154,0.00028573815,0.00014786083,0.000061898994],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001619928,0.00018969602,0.00020665307,0.000011328364,0.002512304,0.00009065,0.0005460846,0.00024303752,0.0003477213],"category_scores_gemma":[0.000018835364,0.000110993235,0.00021961615,0.0006078916,0.00026498036,0.0004380568,0.000004697279,0.0003888332,0.000016633403],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000092746806,0.0001755911,0.72135586,0.000024548635,0.00011272107,0.00000841706,0.2666184,0.00010216597,0.00036765277,0.003799696,0.0041250177,0.0032171942],"study_design_scores_gemma":[0.0005960633,0.000021779922,0.7053008,0.000055425295,0.0000846559,1.3930958e-7,0.024552597,0.0000046705786,0.00095649617,0.0065846066,0.26152146,0.00032130186],"about_ca_topic_score_codex":0.0012990097,"about_ca_topic_score_gemma":0.01159162,"teacher_disagreement_score":0.25739646,"about_ca_system_score_codex":0.0002005185,"about_ca_system_score_gemma":0.00015078983,"threshold_uncertainty_score":0.9987863},"labels":[],"label_agreement":null},{"id":"W618725355","doi":"","title":"Evolution of Adults’ Weekday Time Use Patterns from 1992 to 2010: A Canadian Perspective","year":2014,"lang":"en","type":"article","venue":"Transportation Research Board 93rd Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Demographics; Baseline (sea); Perspective (graphical); Data collection; Set (abstract data type); Survey data collection; Geography; Demography; Computer science; Sociology; Statistics; Political science; Social science; Mathematics","score_opus":0.04426475391187682,"score_gpt":0.36519558303440625,"score_spread":0.3209308291225294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W618725355","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98452175,0.00008283233,0.0014999281,0.00475778,0.00027665435,0.0025176061,0.0031987403,0.00020818555,0.0029365455],"genre_scores_gemma":[0.99541163,0.000074455114,0.00138088,0.00009835221,0.0004984764,0.00029979186,0.00074248115,0.00009370799,0.001400229],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98650736,0.002638393,0.0014029777,0.00160999,0.0054324325,0.0024088696],"domain_scores_gemma":[0.987072,0.0021186701,0.00025535104,0.0008849771,0.00754146,0.0021275494],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008478642,0.0004502044,0.00074541447,0.0022205617,0.0018496362,0.00030550826,0.0013575392,0.00056353485,0.0017948599],"category_scores_gemma":[0.0018531162,0.0004990662,0.00035179482,0.0032159446,0.0014084429,0.0016751168,0.000015269286,0.0016159745,0.0003687341],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011625839,0.0003542858,0.8915972,0.00012932727,0.000098243196,0.000048975533,0.08580682,0.00033205817,0.0015481407,0.0139431255,0.0039167316,0.0010624891],"study_design_scores_gemma":[0.0010220314,0.0004582877,0.9428628,0.00042335188,0.000042437718,2.3902931e-8,0.039386332,0.00015224275,0.0006380067,0.0045672655,0.009934148,0.0005130673],"about_ca_topic_score_codex":0.9836357,"about_ca_topic_score_gemma":0.9794466,"teacher_disagreement_score":0.051265582,"about_ca_system_score_codex":0.0014653344,"about_ca_system_score_gemma":0.0024735976,"threshold_uncertainty_score":0.9997461},"labels":[],"label_agreement":null},{"id":"W619074954","doi":"","title":"Outil d'aide à l'exploration des changements dans les comportments de mobilité des motréalais","year":2014,"lang":"fr","type":"article","venue":"Transportation 2014: Past, Present, Future - 2014 Conference and Exhibition of the Transportation Association of Canada // Transport 2014 : Du passé vers l'avenir - 2014 Congrès et Exposition de 'Association des transports du Canada","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.01585436674245825,"score_gpt":0.2283412332712272,"score_spread":0.21248686652876897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W619074954","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9452737,0.00097235566,0.0267298,0.014739891,0.0022589276,0.0018822609,0.006560798,0.00014595425,0.0014362892],"genre_scores_gemma":[0.98339444,0.0068954933,0.0008541703,0.00064113486,0.00077303074,0.00022716957,0.004641724,0.00013135515,0.0024414728],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9890364,0.0014851717,0.0031564175,0.0012758287,0.0033175293,0.0017286942],"domain_scores_gemma":[0.990662,0.0006230931,0.0040254635,0.0006881488,0.003060566,0.0009407654],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0036285608,0.0011673425,0.0015483473,0.00028379442,0.0017841465,0.0001551364,0.0008263201,0.00107228,0.0015692973],"category_scores_gemma":[0.00009643148,0.001267344,0.00076352304,0.00079633715,0.0010763757,0.0026978983,0.000008877877,0.00088474655,0.0000053542485],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042153534,0.0005882328,0.9299069,0.0013915997,0.00073067576,0.00002659096,0.024213107,0.0066656186,0.00091389753,0.003980537,0.02962658,0.001534736],"study_design_scores_gemma":[0.0035142489,0.00022346182,0.93170947,0.00065600325,0.0017484989,0.0000027970707,0.0049764817,0.0005789668,0.0027378232,0.0026479843,0.050071254,0.0011330281],"about_ca_topic_score_codex":0.84720373,"about_ca_topic_score_gemma":0.99359876,"teacher_disagreement_score":0.14639506,"about_ca_system_score_codex":0.0053516445,"about_ca_system_score_gemma":0.005353803,"threshold_uncertainty_score":0.9995154},"labels":[],"label_agreement":null},{"id":"W619148121","doi":"","title":"Contextual factors associated with bicycling in Sudbury","year":2012,"lang":"en","type":"book","venue":"UMI eBooks","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Psychology; Geography","score_opus":0.05872694679596985,"score_gpt":0.29188995497756903,"score_spread":0.23316300818159919,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W619148121","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26816052,0.00019039691,0.0000051796856,0.000013876549,0.00028314377,0.00037989215,0.000054170163,0.00012376433,0.73078907],"genre_scores_gemma":[0.55154157,0.0000017042579,0.000003121532,0.000036277168,0.00023192438,0.0000071109816,0.00008393307,0.000027404287,0.44806695],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979537,0.00012433139,0.0003813235,0.00037267338,0.00054951047,0.00061841955],"domain_scores_gemma":[0.99890596,0.00030758948,0.00028286554,0.00022706366,0.0000857267,0.0001908064],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007505188,0.00030284448,0.00051515177,0.00015165801,0.00027882395,0.00007189775,0.0003782021,0.00065441575,0.00031084951],"category_scores_gemma":[0.00009133865,0.00025383718,0.00013609591,0.000063643296,0.0005659898,0.00014266103,0.000024239425,0.0006684642,0.000017964576],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048970825,0.00012220176,0.951574,0.00005391244,0.00016872425,0.000043838638,0.035228822,6.0406524e-7,0.000011249154,0.006777879,0.0022815631,0.003688228],"study_design_scores_gemma":[0.0022175869,0.00014532228,0.42532912,0.0017497828,0.0004434666,1.8183854e-7,0.004781291,0.0000022317674,0.00012791126,0.011515162,0.5510849,0.0026030808],"about_ca_topic_score_codex":0.0023474235,"about_ca_topic_score_gemma":0.06447451,"teacher_disagreement_score":0.54880327,"about_ca_system_score_codex":0.00051254005,"about_ca_system_score_gemma":0.000983888,"threshold_uncertainty_score":0.99999136},"labels":[],"label_agreement":null},{"id":"W621848991","doi":"10.1016/j.tra.2016.03.013","title":"Stochastic frontier estimation of budgets for Kuhn–Tucker demand systems: Application to activity time-use analysis","year":2016,"lang":"en","type":"article","venue":"Transportation Research Part A Policy and Practice","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"National Science Foundation","keywords":"Frontier; Econometrics; Economics; Estimation; Stochastic frontier analysis; Time budget; Value (mathematics); Sample (material); Stochastic modelling; Consumer expenditure; Value of time; Aggregate expenditure; Microeconomics; Public economics; Mathematics; Statistics; Engineering; Production (economics); Finance; Geography","score_opus":0.07842340033584864,"score_gpt":0.452486800995774,"score_spread":0.3740634006599253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W621848991","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.405169,0.000057767054,0.5863188,0.006172625,0.00003193454,0.0015430363,0.0003256227,0.000037312693,0.0003439043],"genre_scores_gemma":[0.9967139,0.00004615036,0.0012485696,0.000045542267,0.00012677861,0.0003182514,0.000049852697,0.000009703022,0.0014412601],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9978125,0.00053508533,0.00033332905,0.0003493955,0.00062248687,0.0003471648],"domain_scores_gemma":[0.9947423,0.0038938841,0.00019320977,0.00022672862,0.00072176865,0.00022211445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037160818,0.00010155234,0.00024692033,0.00038527264,0.00042111237,0.000087303604,0.00013550378,0.00011006049,0.000036469944],"category_scores_gemma":[0.0027006706,0.00008226423,0.00007548217,0.0011682828,0.0002569642,0.0014266011,0.000003869128,0.000089823356,0.000014977106],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.024872525,0.004483246,0.23845804,0.0023726446,0.0056247837,0.000013060554,0.14206311,0.054190695,0.03644827,0.23262525,0.013780812,0.24506757],"study_design_scores_gemma":[0.0027998486,0.00056925154,0.79850936,0.00025917048,0.0021975737,4.3975876e-7,0.0028095143,0.016338004,0.0011762767,0.0053058006,0.16920887,0.00082586095],"about_ca_topic_score_codex":0.01675429,"about_ca_topic_score_gemma":0.005489701,"teacher_disagreement_score":0.59154487,"about_ca_system_score_codex":0.00008235716,"about_ca_system_score_gemma":0.00027200938,"threshold_uncertainty_score":0.98979324},"labels":[],"label_agreement":null},{"id":"W622169396","doi":"","title":"PUBLIC TRANSPORTATION OFFICIALS HOPE TO BOOST IMAGE, FUNDING","year":2000,"lang":"en","type":"article","venue":"ENR","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Public administration; Public transport; Political science; Administration (probate law); Public policy; Plan (archaeology); Bolster; Business; Engineering; Law; Geography","score_opus":0.056327717730679516,"score_gpt":0.32466234801975763,"score_spread":0.2683346302890781,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W622169396","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8816186,0.000038579998,0.00019831905,0.003345316,0.00014139009,0.00019412849,0.000019470985,0.00011694342,0.11432726],"genre_scores_gemma":[0.9917995,0.000012870029,0.00035499333,0.00034983555,0.00035907727,0.000010032993,0.000026589869,0.000008108447,0.0070790434],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989808,0.00004803712,0.00018970031,0.00020846345,0.0002653933,0.0003075588],"domain_scores_gemma":[0.9995952,0.000033274053,0.000028550476,0.00012055604,0.000051223564,0.00017119557],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004675598,0.00007581184,0.00011365343,0.00004823149,0.0003772973,0.00012477225,0.00020087666,0.00004745412,0.0101747485],"category_scores_gemma":[0.00004160396,0.00007335742,0.000060718256,0.00040250763,0.00008380094,0.0004942057,0.0000014016437,0.00006757603,0.00041907892],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013229923,0.0005113077,0.60566556,0.00004648397,0.000046644887,0.00005765908,0.057531916,0.000032980217,0.003911045,0.017037598,0.02500805,0.29001847],"study_design_scores_gemma":[0.00016165296,0.000021684567,0.5511241,0.000011890851,0.000013403874,4.221648e-8,0.00076624495,0.000002353048,0.00046588216,0.0012250671,0.44600645,0.00020122188],"about_ca_topic_score_codex":0.0020546664,"about_ca_topic_score_gemma":0.012065898,"teacher_disagreement_score":0.4209984,"about_ca_system_score_codex":0.000044895016,"about_ca_system_score_gemma":0.00010290428,"threshold_uncertainty_score":0.9907301},"labels":[],"label_agreement":null},{"id":"W624620275","doi":"","title":"Exploring Evolution Effects of Neighborhood Typologies on Cycling","year":2015,"lang":"en","type":"article","venue":"Transportation Research Board 94th Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cycling; Residence; Logit; Demographics; Built environment; Geography; Work (physics); Population; Demographic economics; Demography; Econometrics; Mathematics; Sociology; Engineering; Economics","score_opus":0.23784226994310065,"score_gpt":0.4334144017064957,"score_spread":0.19557213176339505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W624620275","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9852512,0.00041141437,0.0007316585,0.0014809713,0.0006520396,0.0020388276,0.00012391,0.0003666712,0.008943324],"genre_scores_gemma":[0.997026,0.00044422166,0.00067310384,0.000034470882,0.00044300078,0.00055760745,0.00014632981,0.00007436729,0.0006008505],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98639303,0.0023650283,0.0013449353,0.0011526628,0.0067068995,0.0020374598],"domain_scores_gemma":[0.9894789,0.0029450874,0.00030586557,0.0006881869,0.0054830485,0.0010989015],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.011009366,0.0004053547,0.0006722797,0.0016301478,0.0014252294,0.00015465815,0.0010755607,0.00039089186,0.00011168723],"category_scores_gemma":[0.0030144022,0.00041182892,0.00029858842,0.0037462802,0.0021557068,0.0020150642,0.000015381622,0.0018239067,0.00011243216],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026333267,0.00116928,0.80134255,0.001061701,0.00015209678,0.00021046889,0.09073178,0.0011804819,0.0017712537,0.09070287,0.00185592,0.0071882964],"study_design_scores_gemma":[0.0022445784,0.0013373548,0.9006071,0.00062858826,0.000056866178,4.5242682e-8,0.07180489,0.00005098219,0.0062862397,0.0113922935,0.00502359,0.00056746864],"about_ca_topic_score_codex":0.039989617,"about_ca_topic_score_gemma":0.02895197,"teacher_disagreement_score":0.09926458,"about_ca_system_score_codex":0.0006100104,"about_ca_system_score_gemma":0.0017220078,"threshold_uncertainty_score":0.9998748},"labels":[],"label_agreement":null},{"id":"W625423402","doi":"","title":"THE ROLE OF FORMATIVE EVALUATION IN DEVELOPING A PREVENTION PROGRAM FOR NEW YOUNG DRIVERS","year":2002,"lang":"en","type":"article","venue":"PROCEEDINGS OF THE 16TH INTERNATIONAL CONFERENCE ON ALCOHOL, DRUGS AND TRAFFIC SAFETY","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Formative assessment; Anonymity; Population; Medical education; Human factors and ergonomics; Psychology; Program evaluation; Engineering; Poison control; Suicide prevention; Applied psychology; Transport engineering; Computer security; Medicine; Computer science; Environmental health; Pedagogy; Political science","score_opus":0.055363906940750815,"score_gpt":0.34197539640140356,"score_spread":0.28661148946065274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W625423402","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9605413,0.00007958109,0.000026816359,0.0035072481,0.00018353705,0.0011114031,0.000008675947,0.000017964156,0.034523495],"genre_scores_gemma":[0.99897647,0.00021120763,0.00036261868,0.000013504587,0.000039533275,0.000056942627,0.0000033655947,0.0000035767528,0.00033277017],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99889934,0.000016768507,0.00031844576,0.00015188003,0.0004737751,0.00013979324],"domain_scores_gemma":[0.9990735,0.00006357331,0.0002977832,0.00003847238,0.0004965479,0.000030092502],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000953934,0.000080239326,0.00011063221,0.000050745173,0.00023860732,0.00006473189,0.00034916302,0.000048471862,0.00003760263],"category_scores_gemma":[0.00014002676,0.000054206157,0.00007091998,0.00016750747,0.0001847419,0.00033901047,0.000023451757,0.000082926,4.1736084e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024310767,0.00020066928,0.04248419,0.00003895837,0.00007792778,1.4521185e-8,0.042750113,0.000039884304,0.00011578551,0.36877984,0.00010672633,0.5451628],"study_design_scores_gemma":[0.007906462,0.0005220053,0.44890067,0.0017693945,0.00023842444,0.0000011176903,0.10217903,0.18985459,0.0046747923,0.22308294,0.020087201,0.00078337285],"about_ca_topic_score_codex":0.00010727235,"about_ca_topic_score_gemma":0.00044266,"teacher_disagreement_score":0.5443794,"about_ca_system_score_codex":0.000097544835,"about_ca_system_score_gemma":0.00011973734,"threshold_uncertainty_score":0.2210463},"labels":[],"label_agreement":null},{"id":"W625427513","doi":"","title":"MEASURING THE INTERNAL QUALITY OF THE MONTREAL CATI HOUSEHOLD TRAVEL SURVEY. IN: TRANSPORT SURVEY QUALITY AND INNOVATION","year":2003,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Interview; Phone; Presentation (obstetrics); Quality (philosophy); Survey data collection; Telephone survey; Survey research; Perspective (graphical); Marketing; Survey methodology; Advertising; Geography; Business; Psychology; Applied psychology; Computer science; Sociology; Medicine; Statistics; Mathematics","score_opus":0.26595148680568753,"score_gpt":0.3607124588630424,"score_spread":0.09476097205735484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W625427513","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98842686,0.00004926765,0.00032518586,0.00018847089,0.00014481273,0.0002676335,0.000073863,0.000014551192,0.010509357],"genre_scores_gemma":[0.99932665,0.000011835898,0.000012619802,0.00007403784,0.000014553854,0.0000048640577,0.000009082591,0.0000059494105,0.00054040505],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99586684,0.0023781254,0.00077638164,0.00024730162,0.0005109947,0.00022034904],"domain_scores_gemma":[0.99867773,0.00054519257,0.0002445244,0.00029171904,0.00020338086,0.00003747387],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.019568287,0.00010997124,0.0002503499,0.000052992003,0.0002717356,0.000029914765,0.00035336922,0.00008824757,0.000037586997],"category_scores_gemma":[0.0008557489,0.000065311826,0.000055864424,0.0011886611,0.0005131467,0.00019903196,0.0000100860025,0.0002065861,1.8511331e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039127513,0.00008137244,0.9897829,0.000013793277,0.000008840338,1.1576345e-7,0.0037126858,0.000004272957,0.000072328476,0.0058444175,0.00000971617,0.00043037525],"study_design_scores_gemma":[0.0002865017,0.000004385771,0.9972412,0.000008736633,0.0000040072964,5.1267012e-8,0.0009512412,9.87127e-7,0.00040343186,0.0009968079,0.000010412018,0.000092261595],"about_ca_topic_score_codex":0.61282414,"about_ca_topic_score_gemma":0.8878474,"teacher_disagreement_score":0.2750233,"about_ca_system_score_codex":0.00004951549,"about_ca_system_score_gemma":0.00020970548,"threshold_uncertainty_score":0.6782017},"labels":[],"label_agreement":null},{"id":"W625785455","doi":"","title":"Evaluating Residential and Employment Change Associated with the Portland Streetcar: Case Study with Planning Implications","year":2014,"lang":"en","type":"article","venue":"Transportation Research Board 93rd Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Redevelopment; Metropolitan area; Downtown; Quarter (Canadian coin); Population; Mile; Business; Engineering; Geography; Civil engineering; Archaeology; Demography; Sociology","score_opus":0.1880601715466692,"score_gpt":0.47354549365467064,"score_spread":0.2854853221080014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W625785455","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9890889,0.00012480939,0.00031427934,0.0045672306,0.00005480818,0.004689615,0.00016097575,0.00024427,0.0007550935],"genre_scores_gemma":[0.99677235,0.0000354344,0.00033449178,0.00007937719,0.00032973502,0.0016022318,0.00021786414,0.00008557366,0.0005429199],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9872136,0.003657378,0.0009300883,0.0013424454,0.0051460667,0.0017104157],"domain_scores_gemma":[0.99145836,0.0027749687,0.0003491354,0.0007084785,0.004022647,0.0006864037],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.01751632,0.00042892736,0.00053157046,0.00069012406,0.0056010876,0.00057670265,0.00071770407,0.00024268198,0.000114756804],"category_scores_gemma":[0.0004950644,0.00031472737,0.00010464026,0.0027398188,0.002180269,0.0012105267,0.000018674791,0.0016599324,0.000006605481],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006928081,0.00046461096,0.88883567,0.00006504651,0.00016274911,0.0005737789,0.104396746,0.00023202818,0.0000670918,0.00085187494,0.0002817593,0.0033758609],"study_design_scores_gemma":[0.0019372021,0.0019698623,0.8533755,0.00021286453,0.00014518265,0.0000016306857,0.14056072,0.00007700938,0.000031316587,0.00029371746,0.0010206879,0.00037433513],"about_ca_topic_score_codex":0.11769115,"about_ca_topic_score_gemma":0.6547956,"teacher_disagreement_score":0.5371044,"about_ca_system_score_codex":0.00021721526,"about_ca_system_score_gemma":0.0006997807,"threshold_uncertainty_score":0.9999305},"labels":[],"label_agreement":null},{"id":"W626239529","doi":"","title":"Are Baby Boomers Likely to Retire to the City in Canada","year":2013,"lang":"en","type":"article","venue":"Transportation Research Board 92nd Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Census; Odds; Baby boomers; Geography; Logistic regression; Demographic economics; Regional science; Index (typography); Demography; Population; Economics; Sociology; Statistics; Computer science","score_opus":0.07602326317302281,"score_gpt":0.3867350812869509,"score_spread":0.31071181811392806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W626239529","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9381986,0.00011654503,0.000097866665,0.052592486,0.00030455756,0.0047315545,0.00045264998,0.00012453285,0.0033812055],"genre_scores_gemma":[0.9935168,0.0000934262,0.00047570188,0.0011594065,0.00031543156,0.0016064008,0.00011597401,0.00007112255,0.0026457463],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98494434,0.0019582675,0.0014517916,0.0014868645,0.007150036,0.003008704],"domain_scores_gemma":[0.9911633,0.0015079064,0.00022889384,0.00086019264,0.004453603,0.0017860851],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.009091069,0.00044721618,0.0006327772,0.0011370685,0.002286339,0.00044844748,0.0019832032,0.00028134894,0.0018077428],"category_scores_gemma":[0.0012986595,0.0003977285,0.00019544111,0.006611875,0.0008611137,0.0011611793,0.0000272854,0.0022140366,0.00038515314],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033755664,0.0001649174,0.91566575,0.0001193247,0.00003136416,0.00013299835,0.029751642,0.0009095803,0.00020117612,0.00075499836,0.049186476,0.0027442027],"study_design_scores_gemma":[0.00044912437,0.00011283235,0.86238575,0.00022311094,0.000009661632,2.7356856e-8,0.06075464,0.000027143966,0.00018852075,0.00046833348,0.07497131,0.00040957396],"about_ca_topic_score_codex":0.9872768,"about_ca_topic_score_gemma":0.9990075,"teacher_disagreement_score":0.055318188,"about_ca_system_score_codex":0.0016042838,"about_ca_system_score_gemma":0.004115544,"threshold_uncertainty_score":0.9998475},"labels":[],"label_agreement":null},{"id":"W626342821","doi":"","title":"Revealed Choice of a New Generation: Travel Behavior of Older Drivers in Rural New Brunswick, Canada","year":2011,"lang":"en","type":"article","venue":"Transportation Research Board 90th Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"TRIPS architecture; Rural area; Travel behavior; Geography; Sample (material); Socioeconomics; Transport engineering; Business; Psychology; Demography; Medicine; Engineering; Sociology","score_opus":0.10613808800833216,"score_gpt":0.3871919256404969,"score_spread":0.28105383763216474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W626342821","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9934947,0.00022968256,0.00023621584,0.00076868926,0.00023286282,0.0023013006,0.00020644612,0.000052594638,0.0024775444],"genre_scores_gemma":[0.9933592,0.00023057786,0.0018578373,0.000039411345,0.0002789977,0.00008232856,0.00027307053,0.00005643794,0.0038221453],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9892585,0.0011078096,0.001970946,0.00088218926,0.005155654,0.0016248875],"domain_scores_gemma":[0.993885,0.0006331888,0.00042714193,0.0005859857,0.003132398,0.0013363047],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004670115,0.0003732364,0.000780086,0.0011004418,0.0005731571,0.00005239564,0.0011368926,0.00040402779,0.0021611727],"category_scores_gemma":[0.00057367276,0.00040888527,0.0002569143,0.0035718116,0.0012674762,0.0010682447,0.00001035622,0.0013088316,0.000008216023],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041327608,0.00040412732,0.92471606,0.00020426884,0.000043922784,0.00007884756,0.06354056,0.000046504818,0.0016757827,0.0032134107,0.00331136,0.0023518652],"study_design_scores_gemma":[0.0020102647,0.00024115396,0.9622203,0.00023943001,0.00005032338,4.5638203e-8,0.027728662,0.000014000406,0.005297458,0.00030560791,0.001543909,0.0003488136],"about_ca_topic_score_codex":0.9902814,"about_ca_topic_score_gemma":0.9978473,"teacher_disagreement_score":0.037504263,"about_ca_system_score_codex":0.00040845637,"about_ca_system_score_gemma":0.021240188,"threshold_uncertainty_score":0.9998363},"labels":[],"label_agreement":null},{"id":"W626357651","doi":"10.1108/9781615832538-035","title":"Time Use and Activity Systems","year":2004,"lang":"en","type":"book-chapter","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Computer science","score_opus":0.04034383812322863,"score_gpt":0.26904199504127096,"score_spread":0.22869815691804235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W626357651","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018590119,0.0002040279,0.000022579277,0.000121735764,0.00018901473,0.00031550808,0.000031057585,0.0001267981,0.98039913],"genre_scores_gemma":[0.32245767,0.00006238465,0.000012381113,0.000018008897,0.0001609032,0.000001414173,0.000005095003,0.000010609758,0.67727154],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991515,0.000015315198,0.00012459661,0.00028411284,0.00026465076,0.00015978054],"domain_scores_gemma":[0.99951464,0.00006237748,0.000081559185,0.00016929471,0.00005455098,0.00011757065],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00021565887,0.00014624003,0.00024289815,0.000035547455,0.00020726291,0.00017291265,0.00011607694,0.00031762043,0.0020096293],"category_scores_gemma":[0.000011736153,0.00012668197,0.00006637612,0.000014559876,0.0004103137,0.0003628974,0.000016663424,0.00016502156,0.00013896177],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041317646,0.000068257614,0.013796984,0.00020923727,0.0001413723,0.000059667465,0.0023609793,0.0000039510587,0.000028742608,0.97597873,0.003455727,0.0038550326],"study_design_scores_gemma":[0.00046665609,0.000054549982,0.016537549,0.00040250632,0.00019900672,7.420184e-7,0.00010362068,0.00002317728,0.000014003021,0.04232771,0.93867046,0.0012000238],"about_ca_topic_score_codex":0.010494085,"about_ca_topic_score_gemma":0.003660693,"teacher_disagreement_score":0.9352147,"about_ca_system_score_codex":0.000099591125,"about_ca_system_score_gemma":0.00018265677,"threshold_uncertainty_score":0.9989027},"labels":[],"label_agreement":null},{"id":"W626484910","doi":"","title":"Walking to Public Transit: Win-Win Solution for Sustainable Transportation","year":2009,"lang":"en","type":"article","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"TRIPS architecture; Transit (satellite); Transport engineering; Public transport; Mode choice; Modal; Population; Modal shift; Travel behavior; Work (physics); Sustainable transport; Geography; Computer science; Engineering; Sustainability; Medicine; Environmental health","score_opus":0.014694294754427385,"score_gpt":0.26794253632655235,"score_spread":0.25324824157212494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W626484910","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29632142,0.00034313634,0.67096686,0.027603803,0.000092769864,0.0021296996,0.00003942498,0.0007908938,0.0017119731],"genre_scores_gemma":[0.9727715,0.000031461885,0.021669356,0.0025589205,0.00029294423,0.00040527774,0.00009460959,0.00003394872,0.0021419805],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99690366,0.00012372222,0.0005436252,0.0005684057,0.00050800387,0.0013525555],"domain_scores_gemma":[0.9984025,0.00009574611,0.00015363423,0.00042290025,0.00040116764,0.00052405166],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0017450069,0.0002824797,0.0003500046,0.00041192674,0.0012180264,0.00037844203,0.0005648885,0.00033571164,0.00007027685],"category_scores_gemma":[0.00025241156,0.00031149798,0.0002691735,0.0011161028,0.000107005144,0.0014074475,0.000008062142,0.00025104443,0.0000054107754],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00082327425,0.0014441635,0.15285964,0.00022833905,0.00009026368,0.00010933758,0.029157158,0.0008639113,0.015451993,0.533702,0.011549829,0.25372007],"study_design_scores_gemma":[0.0017278792,0.0006664207,0.8067857,0.0000968258,0.00016364419,0.0000022796344,0.005700625,0.0048093856,0.0067185736,0.06538304,0.10647475,0.0014708644],"about_ca_topic_score_codex":0.017566394,"about_ca_topic_score_gemma":0.05663914,"teacher_disagreement_score":0.6764501,"about_ca_system_score_codex":0.00073106925,"about_ca_system_score_gemma":0.00054877566,"threshold_uncertainty_score":0.9999337},"labels":[],"label_agreement":null},{"id":"W626608462","doi":"","title":"IMPACTS OF SETTLEMENT PATTERNS AND DYNAMICS ON URBAN MOBILITY BEHAVIOUR: FINDINGS FROM THE ANALYSIS OF MULTIPLE DATA SOURCES","year":2001,"lang":"en","type":"article","venue":"Selected Proceedings of the 9th World Conference on Transport ResearchWorld Conference on Transport Research Society","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Urban sprawl; Metropolitan area; Context (archaeology); Land use; Regional science; Settlement (finance); Transport engineering; Travel behavior; Order (exchange); Geography; Process (computing); Transportation planning; Economic geography; Business; Computer science; Engineering; Civil engineering","score_opus":0.1085621402306101,"score_gpt":0.3635662313514624,"score_spread":0.25500409112085226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W626608462","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9860242,0.000076845725,0.000038157516,0.005866781,0.00007568537,0.0019037706,0.0036984524,0.000071016075,0.0022450911],"genre_scores_gemma":[0.99630904,0.0014368314,0.00007551808,0.00007053385,0.00006640107,0.00008341125,0.0008267436,0.000043234686,0.0010882638],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9901795,0.00034197554,0.0014665838,0.0016318249,0.004793361,0.001586749],"domain_scores_gemma":[0.99283546,0.0013411657,0.00060833973,0.0015162182,0.0031671454,0.00053168135],"candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0069825226,0.00059746206,0.0012629257,0.0006230113,0.0012455821,0.00015706844,0.0049264603,0.0003253547,0.0010037142],"category_scores_gemma":[0.00035169054,0.00041544455,0.00065889646,0.0074158944,0.004049076,0.00057367433,0.00016779597,0.0024910774,0.0000017296381],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001120811,0.0010720476,0.97428626,0.00020738592,0.0008709216,0.0000034111895,0.01147937,0.000012487021,0.0015154185,0.008286293,0.00027034315,0.00087527203],"study_design_scores_gemma":[0.00086504995,0.00035571086,0.98201495,0.0007944212,0.0005489866,1.2888003e-7,0.0076379445,0.0012769965,0.0048012864,0.0011320913,0.00018843757,0.00038396468],"about_ca_topic_score_codex":0.03678287,"about_ca_topic_score_gemma":0.1868877,"teacher_disagreement_score":0.15010484,"about_ca_system_score_codex":0.00031665227,"about_ca_system_score_gemma":0.0015904529,"threshold_uncertainty_score":0.9999095},"labels":[],"label_agreement":null},{"id":"W627074989","doi":"10.18757/ejtir.2006.6.1.4323","title":"Societal trends, mobility behaviour and sustainable transport in Europe and North America","year":2006,"lang":"en","type":"article","venue":"European journal of transport and infrastructure research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Transport Canada; National Science Foundation","keywords":"Sustainability; European union; Sustainable transport; Transport policy; Work (physics); Perspective (graphical); Political science; Regional science; Economic geography; Economy; Sociology; Economics; Public transport; Economic policy; Engineering; Ecology","score_opus":0.020305745029278538,"score_gpt":0.30486288623385066,"score_spread":0.2845571412045721,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W627074989","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9885711,0.0014424407,0.00007376293,0.0005966521,0.000048456448,0.00016646976,0.000023849707,0.000015031585,0.009062231],"genre_scores_gemma":[0.9975668,0.0010376292,0.00029217973,0.000022619022,0.00023524475,0.0000010719016,0.000019225234,0.000023911289,0.0008012985],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968678,0.0005878386,0.0007036171,0.000372619,0.00073865795,0.0007294666],"domain_scores_gemma":[0.99879664,0.000067245965,0.0001618721,0.00014854224,0.00049462594,0.00033106672],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039027436,0.00020073864,0.0003925393,0.0002989275,0.0005549004,0.00009324818,0.0003132206,0.000067670546,0.00014417912],"category_scores_gemma":[0.00003549638,0.00016778584,0.000083180035,0.0011030756,0.0020773367,0.00066005444,0.000026786593,0.0009871231,4.9922465e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001358839,0.000093571456,0.98531544,0.00006626237,0.000012532545,0.0007539521,0.004811347,0.000016553471,0.0000345801,0.00020778069,0.00022624143,0.008325881],"study_design_scores_gemma":[0.0007616168,0.00019648449,0.9762889,0.0000284891,0.000030079173,0.000011542845,0.0038099927,0.000002861508,0.0000066966577,0.00034799395,0.018353527,0.00016181941],"about_ca_topic_score_codex":0.0021640013,"about_ca_topic_score_gemma":0.0025944933,"teacher_disagreement_score":0.018127287,"about_ca_system_score_codex":0.00005366153,"about_ca_system_score_gemma":0.00025912086,"threshold_uncertainty_score":0.76540333},"labels":[],"label_agreement":null},{"id":"W627091442","doi":"10.4337/9781781000113.00021","title":"Who benefits from new transportation infrastructure? Using accessibility measures to evaluate social equity in public transport provision","year":2012,"lang":"en","type":"book-chapter","venue":"Edward Elgar Publishing eBooks","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":67,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Public transport; Equity (law); Business; Transport engineering; Social equality; Public economics; Transport infrastructure; Environmental economics; Engineering; Economics; Political science","score_opus":0.11404237294353216,"score_gpt":0.34806164534852085,"score_spread":0.2340192724049887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W627091442","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5875669,0.0010146543,0.0013384272,0.00165828,0.0026702473,0.003304718,0.001104157,0.000641336,0.40070128],"genre_scores_gemma":[0.9755066,0.000024713976,0.0010468032,0.00038233932,0.0036256968,0.000030604253,0.0007894771,0.00016820458,0.018425547],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9917131,0.0002623489,0.0016994574,0.0016631152,0.0032120065,0.0014499804],"domain_scores_gemma":[0.9964836,0.00014577237,0.00084782275,0.00074676215,0.00072075473,0.0010552645],"candidate_categories":["metaepi_narrow","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00459123,0.0009048209,0.0013073381,0.000632012,0.0009922088,0.0020095592,0.002046408,0.0018925931,0.0012671436],"category_scores_gemma":[0.00033132551,0.0009446384,0.0005628171,0.0002742659,0.00039192708,0.004900418,0.0001150771,0.0018787821,0.000016022756],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045593863,0.00013671476,0.20959887,0.00024313627,0.00026491706,0.000026996666,0.07636383,0.000076209064,0.00016102433,0.033663176,0.00314771,0.6758615],"study_design_scores_gemma":[0.0013023362,0.0000432781,0.74890965,0.0006604828,0.0004389283,2.4712477e-7,0.00038428357,0.000016324213,0.00008163772,0.11567457,0.13068172,0.0018065594],"about_ca_topic_score_codex":0.031769913,"about_ca_topic_score_gemma":0.17946368,"teacher_disagreement_score":0.6740549,"about_ca_system_score_codex":0.0015645478,"about_ca_system_score_gemma":0.0038878995,"threshold_uncertainty_score":0.9996458},"labels":[],"label_agreement":null},{"id":"W627099273","doi":"","title":"Vehicle-Type Choice and Neighbourhood Characteristics: The Case of Hamilton, Canada","year":2007,"lang":"en","type":"article","venue":"11th World Conference on Transport ResearchWorld Conference on Transport Research Society","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Neighbourhood (mathematics); Multinomial logistic regression; Metropolitan area; Geography; Residence; Demographics; Diversity (politics); Geographic information system; Transport engineering; Econometrics; Cartography; Statistics; Demography; Demographic economics; Mathematics; Economics; Sociology; Engineering","score_opus":0.11884807194029183,"score_gpt":0.38257917335132047,"score_spread":0.2637311014110286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W627099273","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9235047,0.00022506916,0.00013695312,0.01099143,0.00032500847,0.0015548287,0.0002630355,0.00013592576,0.06286302],"genre_scores_gemma":[0.9886386,0.001729915,0.00007891176,0.00047437937,0.0003727341,0.00008199772,0.00013141667,0.00007067765,0.008421364],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98917884,0.0007523942,0.0015045946,0.0015905946,0.0040092864,0.002964315],"domain_scores_gemma":[0.99165344,0.0022117014,0.0003393966,0.0014866794,0.0028623084,0.0014464753],"candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.010874099,0.00072108407,0.0010474826,0.00046580224,0.0028530166,0.00022623864,0.0021092787,0.00037424394,0.0024958712],"category_scores_gemma":[0.00021316475,0.00058122474,0.000407943,0.0033982533,0.0049128085,0.00050691766,0.00004909763,0.0038726688,0.000016762751],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019401889,0.0012347294,0.63284206,0.0007512351,0.00044709296,0.00296484,0.02278556,0.0000071031664,0.0011443747,0.28599808,0.0012200515,0.048664685],"study_design_scores_gemma":[0.0015232154,0.00070278946,0.95266354,0.0006893873,0.00010351897,0.000008768266,0.012433507,0.00026688192,0.0010744424,0.003202306,0.02628149,0.0010501328],"about_ca_topic_score_codex":0.6349207,"about_ca_topic_score_gemma":0.96975064,"teacher_disagreement_score":0.33482993,"about_ca_system_score_codex":0.00057709095,"about_ca_system_score_gemma":0.00734639,"threshold_uncertainty_score":0.9996639},"labels":[],"label_agreement":null},{"id":"W627480137","doi":"","title":"Vancouver's Bicycle Lanes: Retrofitting Arterial Streets to Accommodate Cyclists","year":2009,"lang":"en","type":"article","venue":"2009 ANNUAL CONFERENCE AND EXHIBITION OF THE TRANSPORTATION ASSOCIATION OF CANADA - TRANSPORTATION IN A CLIMATE OF CHANGE","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Pedestrian; Transport engineering; Retrofitting; Street network; Engineering","score_opus":0.023022648742944626,"score_gpt":0.2707722692769016,"score_spread":0.247749620533957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W627480137","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9943129,0.000021064037,0.00003931383,0.002292854,0.00035914415,0.00046582514,0.0016682236,0.000018109069,0.00082260685],"genre_scores_gemma":[0.99929094,0.00006910622,0.00010551663,0.0001957843,0.00005514836,0.000015572845,0.0002013479,0.0000074805157,0.0000590893],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99764836,0.00010981923,0.0009131679,0.00023270366,0.00078972924,0.00030621656],"domain_scores_gemma":[0.9982221,0.0000976525,0.00087200373,0.00013895876,0.00056520663,0.00010406957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063073775,0.00015410177,0.00038567666,0.00013298324,0.00014637747,0.000014693397,0.0001977581,0.00014387147,0.00011237064],"category_scores_gemma":[0.00006719591,0.0001514242,0.00009054484,0.00050323014,0.000072416704,0.0005381594,0.0000014498661,0.00012018958,2.0939518e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00088313303,0.00026516055,0.92631143,0.0003043313,0.000041822914,0.0000037843258,0.059287082,0.0002621762,0.002319649,0.006467035,0.0008556357,0.0029987814],"study_design_scores_gemma":[0.00097360555,0.00006671588,0.9903849,0.0002166277,0.00004425808,9.121219e-9,0.0055973064,0.000014712428,0.0014598242,0.0007334303,0.00035977695,0.00014886781],"about_ca_topic_score_codex":0.13360392,"about_ca_topic_score_gemma":0.9496129,"teacher_disagreement_score":0.816009,"about_ca_system_score_codex":0.00012782263,"about_ca_system_score_gemma":0.0003541099,"threshold_uncertainty_score":0.8721655},"labels":[],"label_agreement":null},{"id":"W627730921","doi":"","title":"Age-Based Analysis of Travel by Children in Calgary, Canada","year":2006,"lang":"en","type":"article","venue":"Transportation Research Board 85th Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"TRIPS architecture; Travel behavior; Geography; Travel time; Leisure time; Mode choice; Psychology; Demography; Advertising; Transport engineering; Sociology; Physical activity; Public transport; Business; Medicine; Engineering","score_opus":0.031184705247467012,"score_gpt":0.35950781607725446,"score_spread":0.32832311082978743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W627730921","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9897491,0.00030923684,0.00050771295,0.0016484006,0.000086128195,0.0017486239,0.0017906025,0.00008519756,0.0040750373],"genre_scores_gemma":[0.99387413,0.00007902331,0.00044495534,0.00007584156,0.00009923807,0.00023570219,0.003847442,0.00005528585,0.0012884062],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98612195,0.0018257293,0.0018946715,0.0012320586,0.0068114405,0.0021141632],"domain_scores_gemma":[0.9943809,0.0013793758,0.0003101781,0.0006086149,0.0026902375,0.0006306787],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.007977572,0.00039797876,0.0009552791,0.002507525,0.0009919103,0.00013361512,0.0011396874,0.00040804784,0.0007287935],"category_scores_gemma":[0.00028104332,0.00043388153,0.0003819089,0.010585739,0.0018412374,0.0005940351,0.000006427917,0.0015085328,0.000006498726],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046437036,0.00058814493,0.9826428,0.00012126163,0.00018163043,0.00011736803,0.003773862,0.0027193993,0.0007877162,0.002850375,0.00529161,0.00046145936],"study_design_scores_gemma":[0.0012788025,0.000116396084,0.98837614,0.00007951603,0.0001522801,8.233379e-9,0.004266818,0.00026912615,0.0014120941,0.0004953284,0.003147988,0.0004055295],"about_ca_topic_score_codex":0.9908744,"about_ca_topic_score_gemma":0.9980398,"teacher_disagreement_score":0.008258978,"about_ca_system_score_codex":0.0006803091,"about_ca_system_score_gemma":0.0038732209,"threshold_uncertainty_score":0.9998113},"labels":[],"label_agreement":null},{"id":"W627832322","doi":"","title":"Getting That Old Transit Religion","year":2009,"lang":"en","type":"article","venue":"Planning","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Downtown; Transit (satellite); Investment (military); Public transport; Transport engineering; Rail transit; Quarter (Canadian coin); Business; Politics; Geography; Engineering; Political science","score_opus":0.03932787991552548,"score_gpt":0.31941963985811667,"score_spread":0.28009175994259117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W627832322","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92191845,0.00038978233,0.000693417,0.0016616877,0.00012254016,0.00007336771,9.480237e-7,0.0001597589,0.07498003],"genre_scores_gemma":[0.9982407,0.000009630912,0.00032552716,0.00062472094,0.00020645367,9.087477e-7,0.0000047834137,0.000003265963,0.0005839841],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992663,0.000029135412,0.00010207206,0.00015579375,0.00020678662,0.00023990856],"domain_scores_gemma":[0.9997596,0.000039520022,0.000037889436,0.00008086442,0.000015284928,0.00006681691],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035692778,0.000060349634,0.000086138556,0.000029430888,0.00037645907,0.000060334594,0.0001368542,0.00006039282,0.000046261397],"category_scores_gemma":[0.000023266319,0.00005821519,0.00004541407,0.00012139787,0.000038217153,0.00024514817,0.0000021400597,0.00010897398,0.000011544467],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021656087,0.000036756777,0.9487576,0.0000087268245,0.000005591686,0.000040204817,0.032364834,0.00005974421,0.00092112535,0.002397133,0.0015453396,0.013841301],"study_design_scores_gemma":[0.00024448152,0.000030094408,0.95567954,0.0001100438,0.000020873722,4.2396388e-7,0.001999838,0.00007367679,0.0009872394,0.0075423312,0.033044565,0.00026690832],"about_ca_topic_score_codex":0.0005593832,"about_ca_topic_score_gemma":0.00011521598,"teacher_disagreement_score":0.07632225,"about_ca_system_score_codex":0.000023142127,"about_ca_system_score_gemma":0.000024376217,"threshold_uncertainty_score":0.28954569},"labels":[],"label_agreement":null},{"id":"W628308758","doi":"","title":"Predictors of Driving Among Families Living Within 2 km from School","year":2012,"lang":"en","type":"article","venue":"Transportation Research Board 91st Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Psychosocial; Demographics; Descriptive statistics; Logistic regression; Psychology; Demography; Test (biology); Minor (academic); Geography; Developmental psychology; Sociology; Statistics; Mathematics; Humanities","score_opus":0.05073304890170818,"score_gpt":0.3766892335225725,"score_spread":0.3259561846208643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W628308758","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9888738,0.0005576129,0.00024652496,0.00043386742,0.00073863566,0.001857477,0.00062540534,0.0003628212,0.0063038776],"genre_scores_gemma":[0.9947799,0.00053699483,0.0014066597,0.000028477853,0.0011214882,0.00033145546,0.000438951,0.00011228938,0.0012437743],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9836556,0.0028623643,0.0020818275,0.001173328,0.0074391603,0.0027877234],"domain_scores_gemma":[0.9890186,0.0036946798,0.0005192536,0.0008324244,0.0041402364,0.0017947963],"candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.01728187,0.00050854805,0.00082152814,0.0015352449,0.0022726934,0.0002662295,0.0014271948,0.00065638457,0.00222004],"category_scores_gemma":[0.0025900856,0.0005305944,0.00040879427,0.0037460786,0.0039454605,0.0037375975,0.000028650169,0.002453833,0.000121306795],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001898277,0.0004665107,0.8964437,0.00019839598,0.00014124978,0.000016950775,0.09731394,0.00012211368,0.0014303429,0.0020590774,0.0011927043,0.00042514646],"study_design_scores_gemma":[0.0005272357,0.00014564603,0.90793794,0.0006076264,0.00007063128,1.7142021e-8,0.08350192,0.000024865354,0.002039204,0.00055991486,0.0041282508,0.00045675473],"about_ca_topic_score_codex":0.17456903,"about_ca_topic_score_gemma":0.25108147,"teacher_disagreement_score":0.07651245,"about_ca_system_score_codex":0.00040513623,"about_ca_system_score_gemma":0.0013976198,"threshold_uncertainty_score":0.99984753},"labels":[],"label_agreement":null},{"id":"W629106418","doi":"","title":"Spatial Variety in Weekly, Weekday-to-Weekend, and Day-to-Day Patterns of Activity-Travel Behavior: Initial Results from Toronto Travel-Activity Panel Survey","year":2006,"lang":"en","type":"article","venue":"Transportation Research Board 85th Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Travel behavior; Flexibility (engineering); Travel survey; Geography; Variety (cybernetics); Spatial ecology; Psychology; Computer science; Transport engineering; Ecology; Statistics; Engineering","score_opus":0.09632988109739747,"score_gpt":0.40275033401753146,"score_spread":0.306420452920134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W629106418","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9762632,0.000059199487,0.003702053,0.0012932401,0.00031249496,0.0037359037,0.013162112,0.00011816392,0.0013535806],"genre_scores_gemma":[0.9958105,0.0001592897,0.00052471156,0.000039270915,0.00044768432,0.00055059005,0.0018057305,0.00010711918,0.0005551095],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98209214,0.0050894367,0.002078515,0.0022590102,0.0059433933,0.002537532],"domain_scores_gemma":[0.98984593,0.004461005,0.0004042125,0.00088500476,0.0030350965,0.0013687408],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.019069608,0.0006567579,0.0011773932,0.0011163604,0.0012066013,0.00030852703,0.0011792448,0.0007303836,0.0004641004],"category_scores_gemma":[0.0013264357,0.000737237,0.00027220137,0.0025284893,0.0011834617,0.0017089293,0.000039016493,0.001878902,0.000027826967],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0050927326,0.001621586,0.92933095,0.00017915478,0.000055486053,0.00016453798,0.04439621,0.00011888221,0.00943695,0.0003974522,0.00038850747,0.008817576],"study_design_scores_gemma":[0.0026548766,0.00064818637,0.9781331,0.00025169973,0.000046518533,4.7829303e-8,0.010533433,0.00004413954,0.006024138,0.00028197042,0.0006894428,0.00069248595],"about_ca_topic_score_codex":0.9461202,"about_ca_topic_score_gemma":0.98011893,"teacher_disagreement_score":0.048802137,"about_ca_system_score_codex":0.0006520055,"about_ca_system_score_gemma":0.0015386026,"threshold_uncertainty_score":0.99950784},"labels":[],"label_agreement":null},{"id":"W629113944","doi":"","title":"Ontario Transit-Supportive Guidelines","year":2012,"lang":"en","type":"article","venue":"2012 CONFERENCE AND EXHIBITION OF THE TRANSPORTATION ASSOCIATION OF CANADA - TRANSPORTATION: INNOVATIONS AND OPPORTUNITIES","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transit (satellite); Transport engineering; Bus rapid transit; Business; Service (business); Christian ministry; Public transport; Engineering; Marketing; Political science","score_opus":0.06912985082391138,"score_gpt":0.2806612162429936,"score_spread":0.21153136541908224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W629113944","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98336697,0.0002092011,0.0011163902,0.009844987,0.00037334088,0.00034993648,0.0006098175,0.000022809147,0.004106532],"genre_scores_gemma":[0.99313205,0.00023946977,0.00026335014,0.00042369566,0.000068496185,0.000023368453,0.00037245633,0.00000956315,0.0054675397],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976946,0.00008387576,0.0010087617,0.00017122453,0.0007350837,0.00030643062],"domain_scores_gemma":[0.99727553,0.00010249075,0.00083668093,0.00013485896,0.0015025418,0.00014788283],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008449919,0.00017612785,0.00031857984,0.00011287771,0.0004853107,0.000026678637,0.00012439882,0.00014798,0.00084528327],"category_scores_gemma":[0.000041149266,0.0001617711,0.000080882724,0.00032320153,0.00028693263,0.0010792725,0.0000016089426,0.00015857388,1.78783e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003921415,0.000088359775,0.7719033,0.00012453369,0.00009528245,7.080408e-7,0.024204016,0.000013925029,0.00027120902,0.19829328,0.0031190189,0.001847148],"study_design_scores_gemma":[0.0004370406,0.000019272076,0.9435463,0.00008981357,0.00015306749,1.3667017e-7,0.009608008,0.000004297005,0.0005880354,0.0015675176,0.043784358,0.00020214291],"about_ca_topic_score_codex":0.3785927,"about_ca_topic_score_gemma":0.97193784,"teacher_disagreement_score":0.59334517,"about_ca_system_score_codex":0.00015119271,"about_ca_system_score_gemma":0.0020857123,"threshold_uncertainty_score":0.9255259},"labels":[],"label_agreement":null},{"id":"W629545554","doi":"","title":"An Analysis of Empirical Evidence of Cyclists’ Route Choice and Its Implications for Planning","year":2012,"lang":"en","type":"article","venue":"Transportation Research Board 91st Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cycling; TRIPS architecture; Destinations; Transport engineering; Shortest path problem; Recreation; Investment (military); Work (physics); Geography; Computer science; Operations research; Tourism; Engineering; Graph","score_opus":0.27702028215872776,"score_gpt":0.5372751067481093,"score_spread":0.26025482458938154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W629545554","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9921235,0.0015845487,0.0014520033,0.0014884294,0.00008143997,0.0018007165,0.0010503439,0.00009088166,0.00032813614],"genre_scores_gemma":[0.9968927,0.00037775218,0.0013932653,0.000028345812,0.00021391705,0.00040027115,0.0004819639,0.000042134452,0.00016963467],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9921556,0.0013377822,0.0014584373,0.000846921,0.002695591,0.0015056554],"domain_scores_gemma":[0.98784083,0.0048298505,0.00040319265,0.00056279567,0.005457657,0.00090568507],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.012764841,0.0002774572,0.00076849665,0.0017586849,0.0012618017,0.000095539835,0.00085482426,0.00036104632,0.00017565777],"category_scores_gemma":[0.0014619973,0.00028810443,0.00034590554,0.0049731364,0.0014830589,0.002391819,0.000009822146,0.0007271264,0.000002669538],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043409166,0.00044264444,0.94218653,0.00048038276,0.00024171438,0.0000011107421,0.04315948,0.00042094517,0.0047510113,0.007175487,0.00013894176,0.0005676356],"study_design_scores_gemma":[0.00047951235,0.00027691436,0.9822125,0.00021088618,0.00038073314,1.4616771e-8,0.012798121,0.00024284326,0.0011616652,0.0004714938,0.0015021126,0.00026324703],"about_ca_topic_score_codex":0.021995574,"about_ca_topic_score_gemma":0.046946097,"teacher_disagreement_score":0.0400259,"about_ca_system_score_codex":0.00016022159,"about_ca_system_score_gemma":0.0006889535,"threshold_uncertainty_score":0.9999571},"labels":[],"label_agreement":null},{"id":"W629990169","doi":"","title":"How Does Land-Use and Urban Form Impact Bicycle Flows--Evidence from the Bicycle-Sharing System (BIXI) in Montreal","year":2014,"lang":"en","type":"article","venue":"Transportation Research Board 93rd Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"TRIPS architecture; Bike sharing; Transport engineering; Land use; Business; Geography; Engineering; Civil engineering","score_opus":0.0712434196772661,"score_gpt":0.3787545784177266,"score_spread":0.3075111587404605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W629990169","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.990364,0.00039565744,0.00036144364,0.0051293187,0.0002023353,0.0022548295,0.0005727118,0.00027263522,0.00044703562],"genre_scores_gemma":[0.9968778,0.0004620899,0.0004268194,0.000044704422,0.0006424328,0.00039208744,0.0002872922,0.00008047636,0.0007863221],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9877671,0.0024450026,0.0012144228,0.0016714574,0.0046399524,0.00226208],"domain_scores_gemma":[0.9899655,0.0056858463,0.00027774472,0.00095164415,0.002216382,0.000902903],"candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.013580649,0.0005212731,0.0007433145,0.0008456664,0.0023989698,0.0016497315,0.0015165441,0.00047868502,0.00013255718],"category_scores_gemma":[0.00177631,0.00037206407,0.00031174265,0.0026871993,0.0016062788,0.0040081977,0.000033586097,0.0020499749,0.000026806883],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007433623,0.00012393831,0.9548846,0.00022966976,0.000060242804,0.00006763906,0.039600674,0.00016398623,0.00048293863,0.0009998205,0.000402528,0.0022406061],"study_design_scores_gemma":[0.00114011,0.00020138038,0.9649457,0.000812992,0.000042898282,7.716414e-8,0.027286611,0.00112114,0.00021692834,0.0019485737,0.0018436309,0.0004399615],"about_ca_topic_score_codex":0.51584405,"about_ca_topic_score_gemma":0.7819685,"teacher_disagreement_score":0.2661245,"about_ca_system_score_codex":0.00051530165,"about_ca_system_score_gemma":0.0005127704,"threshold_uncertainty_score":0.9998731},"labels":[],"label_agreement":null},{"id":"W630589600","doi":"","title":"Latent Captivation or Mode Culture? Investigation into Mode Choice Preference Structures in Competitive Modal Arrangements","year":2015,"lang":"en","type":"article","venue":"Transportation Research Board 94th Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Modal; Mode (computer interface); Preference; Mode choice; Phenomenon; Sample (material); Econometrics; Empirical research; Economics; Discrete choice; Computer science; Microeconomics; Transport engineering; Engineering; Mathematics; Statistics; Public transport","score_opus":0.18193411312534616,"score_gpt":0.442918321359184,"score_spread":0.26098420823383783,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W630589600","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98959863,0.00015392396,0.00061090087,0.0023029062,0.00027295676,0.003146054,0.00038354596,0.00026837926,0.003262704],"genre_scores_gemma":[0.9919852,0.0002427642,0.003077492,0.00010977398,0.00036564886,0.0007007634,0.0013859697,0.00007450587,0.0020578734],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98554814,0.002616551,0.0015669513,0.0015224266,0.0067572524,0.0019886626],"domain_scores_gemma":[0.9910027,0.00086555484,0.00032487488,0.00056916993,0.005901074,0.0013366634],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.00705956,0.00051862263,0.00065821107,0.001445647,0.0014208676,0.00036888683,0.0011657169,0.0005848328,0.00030955285],"category_scores_gemma":[0.0014085586,0.00048447613,0.000171889,0.0041223527,0.0019239216,0.0026774888,0.000021058202,0.002139856,0.00006089195],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021705423,0.00039249813,0.75619376,0.0003389911,0.00006945938,0.00008713482,0.21336134,0.0045454446,0.0013263596,0.018179547,0.0019825036,0.0013524339],"study_design_scores_gemma":[0.0032512867,0.00055115664,0.8897407,0.00038939746,0.00003773741,7.4497464e-8,0.06398522,0.000709786,0.0017027047,0.03118566,0.00772254,0.0007237025],"about_ca_topic_score_codex":0.2814689,"about_ca_topic_score_gemma":0.6643692,"teacher_disagreement_score":0.38290033,"about_ca_system_score_codex":0.0010884135,"about_ca_system_score_gemma":0.0026245767,"threshold_uncertainty_score":0.9998791},"labels":[],"label_agreement":null},{"id":"W632363526","doi":"10.71781/1470","title":"L'association entre l'utilisation du transport actif et l'état de santé auto-rapporté chez des adultes montréalais","year":2010,"lang":"fr","type":"dissertation","venue":"Open MIND","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Medicine","score_opus":0.01908196777437186,"score_gpt":0.3102186217169987,"score_spread":0.29113665394262683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W632363526","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95109135,0.00037844194,0.00011063162,0.0013335521,0.001371767,0.0013503977,0.00030762327,0.000019547133,0.04403668],"genre_scores_gemma":[0.96585053,0.00065299147,0.0022553385,0.00008192012,0.00056581455,0.00009843072,0.0033254682,0.00005856751,0.027110925],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9956803,0.0004650891,0.0010175707,0.0010389102,0.00091524987,0.0008829151],"domain_scores_gemma":[0.99716973,0.00033388266,0.001218725,0.00038007132,0.00053134165,0.0003662527],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003116179,0.0005988678,0.00075755647,0.00012359051,0.0011841255,0.00055800605,0.0011538138,0.0014335894,0.023188658],"category_scores_gemma":[0.000337702,0.0006372304,0.00041112394,0.0006501317,0.00035735534,0.0021840038,0.00002901773,0.0009893986,0.00030038075],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015823448,0.00043433046,0.7151484,0.000074854106,0.00015313833,0.000019016521,0.16644487,0.000010480358,0.0017002365,0.000055455042,0.00024344906,0.11555753],"study_design_scores_gemma":[0.00081469776,0.0000614566,0.9264424,0.00027644148,0.0007361041,7.638759e-7,0.028440427,0.0002016908,0.00741516,0.0008986045,0.033982474,0.0007297927],"about_ca_topic_score_codex":0.042450577,"about_ca_topic_score_gemma":0.547699,"teacher_disagreement_score":0.5052484,"about_ca_system_score_codex":0.0009120673,"about_ca_system_score_gemma":0.0019344297,"threshold_uncertainty_score":0.99986273},"labels":[],"label_agreement":null},{"id":"W633466019","doi":"","title":"THE CANADIAN GUIDE TO PROMOTING SUSTAINABLE TRANSPORTATION THROUGH SITE DESIGN","year":2004,"lang":"en","type":"article","venue":"ITE 2004 Annual Meeting and ExhibitInstitute of Transportation Engineers (ITE)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transportation planning; Sustainable development; Environmental planning; Business; Sustainable transport; Land use; Engineering; Transport engineering; Sustainability; Civil engineering; Political science; Geography","score_opus":0.009659462069971,"score_gpt":0.2581893235911506,"score_spread":0.2485298615211796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W633466019","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9620815,0.0006930698,0.026634322,0.0035468708,0.0003477225,0.0013140882,0.0003056586,0.00021448264,0.004862312],"genre_scores_gemma":[0.99082077,0.000077400255,0.007978079,0.0001659195,0.00014109435,0.000037116224,0.00016153458,0.000027094327,0.00059099187],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975214,0.000057462737,0.0006969116,0.00041451724,0.00052136637,0.00078834506],"domain_scores_gemma":[0.9986134,0.00011135718,0.00017273007,0.00017933015,0.0005302789,0.00039287694],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0014645595,0.0002524056,0.00027230143,0.00015662455,0.0015823814,0.00012959322,0.00023201061,0.00017410624,0.000010567227],"category_scores_gemma":[0.00017434143,0.00023451386,0.000111011395,0.00075484184,0.00029887416,0.0008964987,0.000001654259,0.0002016329,0.0000044341837],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024739286,0.00019332717,0.050213393,0.000693551,0.00015486046,0.0002745584,0.5272108,0.33984113,0.0011563604,0.07466111,0.0013072632,0.004046284],"study_design_scores_gemma":[0.0064587127,0.0007170514,0.23577447,0.002467867,0.00075691007,0.000004272754,0.13468802,0.0002462417,0.021042472,0.0074853664,0.58697575,0.0033828302],"about_ca_topic_score_codex":0.30682668,"about_ca_topic_score_gemma":0.64087945,"teacher_disagreement_score":0.5856685,"about_ca_system_score_codex":0.00024549727,"about_ca_system_score_gemma":0.0010617566,"threshold_uncertainty_score":0.9997174},"labels":[],"label_agreement":null},{"id":"W6345139","doi":"10.4000/cybergeo.25571","title":"La perception spatio-temporelle de l’accessibilité automobile aux services urbains : Mesures pour la ville de Québec, 1993-2004","year":2012,"lang":"fr","type":"article","venue":"Cybergeo","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval; Université du Québec à Rimouski","funders":"","keywords":"Humanities; Political science; Geography; Art","score_opus":0.016208757856102162,"score_gpt":0.31120896182455837,"score_spread":0.2950002039684562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6345139","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9343972,0.018288009,0.00024119316,0.0033731796,0.0008856911,0.00036446744,0.00008184028,0.00022899763,0.042139404],"genre_scores_gemma":[0.96634793,0.00045456996,0.0007043433,0.00038583187,0.0014504014,0.00007110962,0.00007687777,0.000059466925,0.03044947],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99559885,0.0013056835,0.000633182,0.000600754,0.0005376717,0.0013238749],"domain_scores_gemma":[0.9978706,0.00047566427,0.00029874837,0.00052231265,0.00015953481,0.000673108],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0033349316,0.00043005048,0.0004531374,0.00010036532,0.00083415635,0.00019231287,0.0007247282,0.00070214865,0.008100319],"category_scores_gemma":[0.00011039402,0.00042765084,0.0003512154,0.00060506776,0.00079017924,0.0014635439,0.00009826098,0.0005562514,0.00046509804],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027854538,0.0008804513,0.9063512,0.0002729519,0.00006268985,0.0000135957025,0.07366885,0.00005918299,0.0003373044,0.0017814395,0.0054346216,0.011109877],"study_design_scores_gemma":[0.000361098,0.00002284203,0.6567,0.00014159511,0.00014980588,0.000004537616,0.008391011,0.0004754964,0.00011115282,0.0015997658,0.33162162,0.0004210624],"about_ca_topic_score_codex":0.40929052,"about_ca_topic_score_gemma":0.34793746,"teacher_disagreement_score":0.326187,"about_ca_system_score_codex":0.0008864169,"about_ca_system_score_gemma":0.001830089,"threshold_uncertainty_score":0.99981755},"labels":[],"label_agreement":null},{"id":"W634523814","doi":"10.71781/13219","title":"Les accidents de la route impliquant des enfants piétons : analyse spatiale des risques potentiels et des risques perçus pour une meilleure prévention","year":2008,"lang":"fr","type":"dissertation","venue":"Open MIND","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Université de Montréal","keywords":"Humanities; Geography; Art","score_opus":0.07656130232475213,"score_gpt":0.4190544022383394,"score_spread":0.3424930999135873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W634523814","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9291329,0.0026516614,0.00072120863,0.0001013303,0.0002810814,0.00095900474,0.0002682746,0.000020664329,0.06586388],"genre_scores_gemma":[0.95963734,0.0044761794,0.013649909,0.00001531142,0.0001667219,0.00008103062,0.0010956641,0.00007039725,0.020807449],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99455374,0.0016086984,0.0010774152,0.0011025004,0.0007181608,0.0009394841],"domain_scores_gemma":[0.99745446,0.00031893366,0.00079417933,0.00044961603,0.000579675,0.00040312126],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0020039645,0.000707834,0.00094412855,0.00024708174,0.0027613973,0.0011539322,0.0014911477,0.0008437488,0.0039077415],"category_scores_gemma":[0.00035517587,0.0006926266,0.0006127035,0.0010232215,0.0016750565,0.0022801089,0.00013409373,0.0006315528,0.00008986989],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020704305,0.0007331677,0.7189491,0.00014781707,0.000329607,0.00010380123,0.0607674,0.000091994196,0.0012014543,0.0000661887,0.00009002236,0.21731244],"study_design_scores_gemma":[0.0007372829,0.00012827164,0.9376185,0.0010035197,0.0008802237,0.000010413774,0.037387278,0.00012913294,0.011215761,0.008921932,0.0011863378,0.00078137824],"about_ca_topic_score_codex":0.30828294,"about_ca_topic_score_gemma":0.54712427,"teacher_disagreement_score":0.2388413,"about_ca_system_score_codex":0.00072623,"about_ca_system_score_gemma":0.0012232101,"threshold_uncertainty_score":0.99988294},"labels":[],"label_agreement":null},{"id":"W635258542","doi":"","title":"Measuring Activity Spaces of People, Households and Population Segments","year":2007,"lang":"en","type":"article","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Scale (ratio); Space (punctuation); Geography; Population; Period (music); Demographic economics; Socioeconomics; Demography; Sociology; Computer science; Cartography; Economics","score_opus":0.023093012050659688,"score_gpt":0.26511754721145736,"score_spread":0.24202453516079767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W635258542","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95698017,0.00031262595,0.04049137,0.00048113163,0.00008223535,0.0004223391,0.000012466266,0.000256891,0.0009607693],"genre_scores_gemma":[0.9946442,0.00008127905,0.004858596,0.00007542011,0.000094214,0.00002044646,0.000005253098,0.000020337786,0.00020022388],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983255,0.000100098136,0.00031050653,0.00029442707,0.00048344125,0.00048602076],"domain_scores_gemma":[0.9990663,0.00010468295,0.00023160974,0.0002885792,0.00008088298,0.00022794312],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018972632,0.00016169353,0.00027064618,0.00017509182,0.0003819399,0.00008917269,0.00023006607,0.00021481504,0.000019375799],"category_scores_gemma":[0.00013657505,0.00016810975,0.000084522275,0.0004987838,0.00014223516,0.00059638295,0.000052284886,0.00019076618,7.7904014e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006022882,0.00011204483,0.9787481,0.00003133802,0.000013471218,0.0000037312964,0.0017731232,0.000022413597,0.0037871713,0.0018133232,0.000019546074,0.013615548],"study_design_scores_gemma":[0.00021314305,0.000027704333,0.98984146,0.000028156053,0.000021962192,8.848518e-7,0.00043119572,0.00025272553,0.007974236,0.0009299707,0.000109014865,0.00016957418],"about_ca_topic_score_codex":0.18671523,"about_ca_topic_score_gemma":0.2219044,"teacher_disagreement_score":0.037664056,"about_ca_system_score_codex":0.00024195595,"about_ca_system_score_gemma":0.00010287926,"threshold_uncertainty_score":0.8187005},"labels":[],"label_agreement":null},{"id":"W635524708","doi":"","title":"TRANSPORTATION STRATEGIES FOR VANCOUVER'S MODEL SUSTAINABLE COMMUNITY","year":2003,"lang":"en","type":"article","venue":"Institute of Transportation Engineers 2003 Annual Meeting and Exhibit (held in conjunction with ITE District 6 Annual Meeting)Institute of Transportation Engineers (ITE)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sustainable transport; Downtown; Sustainability; Pedestrian; Work (physics); Sustainable community; Transport engineering; Business; Sustainable development; Public transport; Sustainable city; Environmental planning; Transportation planning; Engineering; Geography; Political science","score_opus":0.011650492402102803,"score_gpt":0.24404367474702288,"score_spread":0.23239318234492007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W635524708","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8550012,0.00043602008,0.13669375,0.00010856982,0.0012158533,0.0016697559,0.0024828892,0.00026163098,0.0021303406],"genre_scores_gemma":[0.98760486,0.00022465117,0.009148823,0.00005147448,0.00007464772,0.00016714934,0.0023031498,0.00007038571,0.00035484656],"study_design_codex":"simulation_or_modeling","study_design_gemma":"qualitative","domain_scores_codex":[0.9954224,0.00013602235,0.0018762146,0.0007347392,0.000927731,0.00090288895],"domain_scores_gemma":[0.9962194,0.00019862123,0.0007729845,0.00037217257,0.0020940218,0.00034279466],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0018221156,0.000699609,0.00097336015,0.00070415117,0.00070297363,0.00007174089,0.00035257405,0.00048063186,0.00001844845],"category_scores_gemma":[0.00028220858,0.00074721186,0.00026526215,0.002157196,0.00078603846,0.0035726484,0.0000017722286,0.00065359246,5.1181763e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008765171,0.0006462134,0.031713944,0.002401904,0.00021795969,0.000034383247,0.06265029,0.8512907,0.00032357953,0.048732344,0.0005383445,0.0005738077],"study_design_scores_gemma":[0.025312962,0.0025567543,0.1599792,0.0046803784,0.0030882887,0.0000043717264,0.63997316,0.010473669,0.009739587,0.003133703,0.13469246,0.006365476],"about_ca_topic_score_codex":0.0076970267,"about_ca_topic_score_gemma":0.03894218,"teacher_disagreement_score":0.84081703,"about_ca_system_score_codex":0.00018654544,"about_ca_system_score_gemma":0.0011905589,"threshold_uncertainty_score":0.9994979},"labels":[],"label_agreement":null},{"id":"W635835916","doi":"","title":"School Transport Walking Hazard Assesment Guidelines","year":2013,"lang":"en","type":"article","venue":"2013 CONFERENCE AND EXHIBITION OF THE TRANSPORTATION ASSOCIATION OF CANADA - TRANSPORTATION: BETTER - FASTER - SAFER","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Warrant; Pedestrian; Hazard; Transport engineering; Service (business); Actuarial science; Business; Risk analysis (engineering); Engineering; Marketing; Finance","score_opus":0.019698471359086145,"score_gpt":0.2572806041956889,"score_spread":0.23758213283660273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W635835916","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9705732,0.000070270544,0.0013264489,0.024895424,0.00047103845,0.00083421305,0.00037312822,0.000043663604,0.0014126382],"genre_scores_gemma":[0.9949508,0.00009615505,0.0006474529,0.001306916,0.000120408724,0.000078910256,0.0003096598,0.000022977752,0.002466775],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99597335,0.00016341559,0.0015055076,0.00041648644,0.0014940782,0.00044714782],"domain_scores_gemma":[0.9967258,0.000119782584,0.0010026753,0.0002900857,0.0016249339,0.00023671023],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000659281,0.00029990604,0.0005026575,0.00011075698,0.00040304987,0.0000574638,0.00034629853,0.00023742845,0.0032695483],"category_scores_gemma":[0.000043737666,0.0002644097,0.00022411163,0.00038259808,0.00020765985,0.0010827006,0.0000023505775,0.0002594432,0.00000519158],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003975634,0.00008664971,0.9815822,0.00014322416,0.00013320947,0.000001837168,0.004975212,0.0001203753,0.0012979168,0.0017394064,0.008294131,0.001586066],"study_design_scores_gemma":[0.00081067166,0.000027285392,0.98704445,0.00018918514,0.00017071259,7.217876e-8,0.0018794187,0.000034369295,0.0015020316,0.0014112453,0.006632485,0.0002980974],"about_ca_topic_score_codex":0.24818547,"about_ca_topic_score_gemma":0.8446838,"teacher_disagreement_score":0.59649837,"about_ca_system_score_codex":0.00021089164,"about_ca_system_score_gemma":0.0012133898,"threshold_uncertainty_score":0.9999808},"labels":[],"label_agreement":null},{"id":"W636224762","doi":"","title":"Is It Safe? How Does Safety Play a Role in a Child’s Mode of Travel Between Home and School?","year":2012,"lang":"en","type":"article","venue":"Transportation Research Board 91st Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Thematic analysis; Population; Psychology; Safety behaviors; Human factors and ergonomics; Poison control; Applied psychology; Social psychology; Qualitative research; Environmental health; Sociology; Medicine","score_opus":0.056266836422232444,"score_gpt":0.3960877437661518,"score_spread":0.33982090734391934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W636224762","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97843903,0.0006071238,0.00014826584,0.0090356665,0.00011989067,0.002098161,0.0015996691,0.000076143464,0.007876022],"genre_scores_gemma":[0.99473697,0.0012442779,0.000869696,0.00006739967,0.0004683681,0.00024190563,0.00037724475,0.000075821394,0.0019183403],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9876278,0.0018306223,0.0015843026,0.0011564575,0.0051652715,0.0026355584],"domain_scores_gemma":[0.9939626,0.0015481769,0.00031245025,0.0005865678,0.002139299,0.0014509199],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.011775854,0.00047863313,0.0009522325,0.0016762633,0.0015064641,0.0002150528,0.00095330685,0.00063352444,0.0013312891],"category_scores_gemma":[0.00047152807,0.0004413839,0.0002888072,0.0031746211,0.002489299,0.0025011431,0.000020376256,0.00229417,0.000050497223],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006677423,0.000354507,0.89141357,0.00038961932,0.00007739706,0.000021138841,0.10191748,0.000014319911,0.0006147971,0.00284783,0.0005357119,0.0011458843],"study_design_scores_gemma":[0.0015477451,0.00016538825,0.9162907,0.00038223556,0.000045240213,8.1525876e-8,0.06961983,0.000015175593,0.001669246,0.0022052005,0.0075823036,0.00047685485],"about_ca_topic_score_codex":0.07374144,"about_ca_topic_score_gemma":0.15409698,"teacher_disagreement_score":0.08035553,"about_ca_system_score_codex":0.00033445618,"about_ca_system_score_gemma":0.00090333895,"threshold_uncertainty_score":0.9998038},"labels":[],"label_agreement":null},{"id":"W637683351","doi":"","title":"Activity Space Geometry and Its Effect on Mode Choice","year":2013,"lang":"en","type":"article","venue":"Transportation Research Board 92nd Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Compact space; Space (punctuation); Measure (data warehouse); Mode (computer interface); Work (physics); Built environment; Field (mathematics); Transit (satellite); Transport engineering; Geography; Mode choice; Mathematics; Computer science; Statistics; Econometrics; Public transport; Engineering; Civil engineering; Human–computer interaction; Mathematical analysis; Data mining; Pure mathematics","score_opus":0.056220808668993115,"score_gpt":0.4153647392925855,"score_spread":0.3591439306235924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W637683351","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98105496,0.0002786506,0.00005910835,0.0069683283,0.00020997068,0.003761601,0.00029460207,0.000363478,0.007009271],"genre_scores_gemma":[0.9936957,0.00037198202,0.00021596033,0.00009035269,0.00043950728,0.00088801316,0.00014967725,0.000097279386,0.0040515265],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98618865,0.0027422106,0.0008848922,0.0016759646,0.005980483,0.0025277997],"domain_scores_gemma":[0.98998433,0.0042383303,0.00021121929,0.0006275862,0.0035597,0.0013788496],"candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008481899,0.0005474702,0.0007195362,0.0014840957,0.0029811913,0.00058424956,0.00094993034,0.00058949424,0.0013976004],"category_scores_gemma":[0.0014066484,0.0005280284,0.000270016,0.0033829694,0.0016993423,0.0025181598,0.000018591527,0.0027114507,0.0004478906],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017201588,0.0011647295,0.9037742,0.0012826237,0.00021386852,0.00014367525,0.02977528,0.00029246684,0.0184296,0.017887866,0.008123391,0.01719215],"study_design_scores_gemma":[0.0014849106,0.0009902434,0.9701479,0.00024853303,0.000037280723,5.888561e-8,0.004839138,0.00018105327,0.0060733827,0.0014596918,0.013931231,0.0006065678],"about_ca_topic_score_codex":0.10400589,"about_ca_topic_score_gemma":0.057891637,"teacher_disagreement_score":0.06637372,"about_ca_system_score_codex":0.000343982,"about_ca_system_score_gemma":0.000619404,"threshold_uncertainty_score":0.9997171},"labels":[],"label_agreement":null},{"id":"W638645393","doi":"","title":"Aging Demographics in Medium-Sized Cities: Case Study of Travel Behavior in Kamloops, Canada","year":2013,"lang":"en","type":"article","venue":"Transportation Research Board 92nd Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Demographics; Context (archaeology); Sustainability; Baby boomers; Geography; Travel behavior; Population; Economic geography; Cohort effect; Travel survey; Generation x; Demographic economics; Demography; Transport engineering; Sociology; Economics; Engineering","score_opus":0.06622510790027035,"score_gpt":0.3965671322836065,"score_spread":0.33034202438333615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W638645393","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9916804,0.00013399878,0.000014960735,0.001576422,0.00017743428,0.0052845543,0.00020404196,0.00007194603,0.000856262],"genre_scores_gemma":[0.99721456,0.00017660783,0.00023931528,0.000035321726,0.000104484,0.0016774718,0.00013045098,0.000069108755,0.0003526635],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9854112,0.0027738581,0.0023614368,0.0012400945,0.0060045365,0.002208818],"domain_scores_gemma":[0.9924957,0.002099068,0.00028569612,0.0006008677,0.0037717521,0.0007469186],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.009944733,0.00043354605,0.0008800041,0.0024477134,0.0010489806,0.00018460976,0.0010446147,0.00038240888,0.0007587106],"category_scores_gemma":[0.00049928104,0.0004662402,0.00017806143,0.0063253148,0.0015024894,0.0014619192,0.000014598822,0.002439352,0.000007579551],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020888493,0.001343519,0.91267407,0.00024810323,0.0000388037,0.0029675968,0.08025624,0.00012937638,0.00035697746,0.00046000833,0.00026425472,0.0010521661],"study_design_scores_gemma":[0.0019648608,0.0002502395,0.69298273,0.00014368289,0.000024736953,4.1853667e-7,0.30358574,0.000029509105,0.00014967973,0.0003395403,0.00022222291,0.00030661566],"about_ca_topic_score_codex":0.98899275,"about_ca_topic_score_gemma":0.99879175,"teacher_disagreement_score":0.2233295,"about_ca_system_score_codex":0.0005893253,"about_ca_system_score_gemma":0.0046489406,"threshold_uncertainty_score":0.9998621},"labels":[],"label_agreement":null},{"id":"W638829605","doi":"10.71781/1435","title":"Investigating active transportation to and from school : identification of predictors and health benefits","year":2010,"lang":"en","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","score_opus":0.009833566589309768,"score_gpt":0.2242962538325277,"score_spread":0.21446268724321793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W638829605","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99435365,0.002933638,0.000023514798,0.00032998744,0.00037304964,0.00042995936,0.0002883089,0.000044250446,0.0012236476],"genre_scores_gemma":[0.996597,0.00035289093,0.0003372251,0.00003689859,0.000095095456,0.000013094516,0.00079871895,0.00001061153,0.0017584967],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985195,0.000060592287,0.00037627423,0.0004197521,0.0004444431,0.00017943366],"domain_scores_gemma":[0.9987412,0.000050610863,0.00047086537,0.00014288006,0.00020251653,0.0003918991],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00026467128,0.00016691092,0.00025329762,0.00015635035,0.0032223784,0.00004211617,0.0001610475,0.00028873573,0.000016445874],"category_scores_gemma":[0.000057205303,0.00019986798,0.000060884475,0.00021005665,0.00021965551,0.0004129462,0.000008051069,0.00027145096,0.0000012417996],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016293651,0.00006513628,0.6894789,0.00015031651,0.00010215423,0.000009931605,0.2803114,0.00004856532,0.013919732,0.0035716526,0.00004776505,0.012131527],"study_design_scores_gemma":[0.0002165828,0.000024759524,0.9609262,0.00016395298,0.000090690526,4.4663128e-7,0.032581527,0.000014412404,0.0046289843,0.00047615587,0.0007178417,0.00015845848],"about_ca_topic_score_codex":0.19766723,"about_ca_topic_score_gemma":0.4059641,"teacher_disagreement_score":0.2714473,"about_ca_system_score_codex":0.00063440524,"about_ca_system_score_gemma":0.0013599029,"threshold_uncertainty_score":0.9980753},"labels":[],"label_agreement":null},{"id":"W638843832","doi":"","title":"Winter Cycling in North American Cities: Climate and Roadway Surface Conditions","year":2012,"lang":"en","type":"article","venue":"Transportation Research Board 91st Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cycling; Environmental science; Precipitation; Snow; Population; Geography; Meteorology; Climatology; Demography","score_opus":0.06599496726980868,"score_gpt":0.41574197577712474,"score_spread":0.34974700850731605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W638843832","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9914418,0.0004070179,0.000057284284,0.0017349235,0.00020050863,0.0016714535,0.0006961961,0.00023396661,0.003556887],"genre_scores_gemma":[0.99597675,0.0014266352,0.000680671,0.00009363778,0.00037194113,0.00026188535,0.0005443402,0.00008218323,0.0005619749],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9885113,0.0020583726,0.0013670702,0.0010532085,0.0037332212,0.0032767933],"domain_scores_gemma":[0.9944505,0.0018386552,0.0002492075,0.00049033546,0.001768563,0.0012027001],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.011065366,0.00042048338,0.00066906627,0.0011729194,0.0022505152,0.0003023193,0.00070122624,0.0002562952,0.000513288],"category_scores_gemma":[0.00042568575,0.0004520565,0.00019951967,0.004509701,0.0040624673,0.0024787837,0.000019741386,0.0020468303,0.0001007842],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003447383,0.00033697987,0.93191355,0.00020114043,0.000036888283,0.000041965897,0.062851384,0.00016332703,0.0002692068,0.0024465495,0.00042936878,0.00096490106],"study_design_scores_gemma":[0.00078278914,0.0001509813,0.92662203,0.00014378513,0.000024406181,7.998774e-8,0.065027855,0.000022448405,0.00023770488,0.0002693615,0.006279018,0.00043952384],"about_ca_topic_score_codex":0.062094722,"about_ca_topic_score_gemma":0.56862307,"teacher_disagreement_score":0.5065284,"about_ca_system_score_codex":0.00036291513,"about_ca_system_score_gemma":0.0005519239,"threshold_uncertainty_score":0.9997931},"labels":[],"label_agreement":null},{"id":"W639146063","doi":"","title":"Explaining the Use of Different Transport Modes for Journey to Work in Urban Areas: The Case of Low-Income Persons in Ontario and Quebec","year":2010,"lang":"en","type":"article","venue":"Transportation Research Board 89th Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Public transport; Residence; Work (physics); Population; Social exclusion; Demographic economics; Multinomial logistic regression; Immigration; Destinations; Business; Geography; Economic growth; Public economics; Economics; Sociology; Transport engineering; Demography; Engineering","score_opus":0.11664173951285897,"score_gpt":0.3938074032763098,"score_spread":0.27716566376345086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W639146063","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9926009,0.00006093685,0.00019298443,0.002886741,0.00011289052,0.00365546,0.0003094935,0.00003279411,0.00014779567],"genre_scores_gemma":[0.99752605,0.000058249985,0.0007915836,0.000037977265,0.000079298516,0.00071944733,0.00008948596,0.00004603422,0.00065184775],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9929581,0.001088757,0.0015697749,0.00083492044,0.0021266413,0.0014217718],"domain_scores_gemma":[0.9925816,0.0040763253,0.00025728898,0.00059717195,0.0019669775,0.0005206279],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.009673073,0.00033885983,0.0006541554,0.0010842808,0.0010724083,0.00014807041,0.00084726274,0.00032867087,0.00021211254],"category_scores_gemma":[0.0008033234,0.00025014943,0.00022890444,0.0026544314,0.0021866225,0.00088322436,0.000011556745,0.0023758786,0.0000012635758],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016545992,0.00029105163,0.8231504,0.00020582753,0.000031755044,0.00012340036,0.16820665,0.0004761558,0.00045490605,0.0040422813,0.00013263342,0.0012303105],"study_design_scores_gemma":[0.0011255918,0.00018803413,0.9417084,0.00037261666,0.00002790352,2.718817e-7,0.053154472,0.00006872545,0.00042001586,0.0005096652,0.0021758843,0.00024842608],"about_ca_topic_score_codex":0.79577047,"about_ca_topic_score_gemma":0.99791193,"teacher_disagreement_score":0.20214145,"about_ca_system_score_codex":0.00024361724,"about_ca_system_score_gemma":0.0014560398,"threshold_uncertainty_score":0.99999505},"labels":[],"label_agreement":null},{"id":"W639778720","doi":"","title":"Safe Routes to School: Providing Better and Safer Transportation Choices for Students","year":2013,"lang":"en","type":"article","venue":"2013 CONFERENCE AND EXHIBITION OF THE TRANSPORTATION ASSOCIATION OF CANADA - TRANSPORTATION: BETTER - FASTER - SAFER","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"SAFER; School district; Transport engineering; Plan (archaeology); Geography; Engineering; Psychology; Mathematics education; Computer science; Computer security","score_opus":0.014895059036801593,"score_gpt":0.26064802138458043,"score_spread":0.24575296234777882,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W639778720","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9756576,0.000047939935,0.0018142962,0.019288054,0.00031474585,0.0017852229,0.0008411655,0.000032736953,0.00021826048],"genre_scores_gemma":[0.99486864,0.000044555938,0.0010157992,0.001691851,0.00012119115,0.00023808327,0.00045968735,0.00002798631,0.0015322188],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99651045,0.00012229137,0.0011805053,0.0005036876,0.001225381,0.00045770442],"domain_scores_gemma":[0.9975298,0.00021163556,0.00077233854,0.00022288902,0.0009813709,0.00028197814],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005636711,0.00031580086,0.00050518074,0.00014890319,0.00047019962,0.0001331909,0.00033218673,0.0002241484,0.00073081296],"category_scores_gemma":[0.00004215868,0.0002865597,0.0001601989,0.00035577847,0.00015868113,0.0012562199,0.000002734821,0.00019315965,0.0000027373471],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009569923,0.00008533868,0.98307973,0.00023676142,0.00012723329,5.7945147e-7,0.008590792,0.000058212707,0.0017919728,0.0010285607,0.0033244386,0.0015806732],"study_design_scores_gemma":[0.0011957147,0.000060873404,0.98645663,0.00019263686,0.00020690812,3.6198106e-8,0.0016365645,0.00002079609,0.0019895276,0.0012316296,0.006680459,0.00032821595],"about_ca_topic_score_codex":0.13409053,"about_ca_topic_score_gemma":0.75832486,"teacher_disagreement_score":0.6242343,"about_ca_system_score_codex":0.00015866349,"about_ca_system_score_gemma":0.00053716445,"threshold_uncertainty_score":0.99995863},"labels":[],"label_agreement":null},{"id":"W640449961","doi":"","title":"When will Japan Choose Light Rail Transit","year":2004,"lang":"en","type":"article","venue":"JRTR. Japan railway & transport review","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Light rail transit; Light rail; Public transport; Transport engineering; Transit system; Rapid transit; Transit (satellite); Bus rapid transit; Business; Engineering","score_opus":0.019388276886997773,"score_gpt":0.28464386302089995,"score_spread":0.26525558613390215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W640449961","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5971739,0.23084275,0.0016806594,0.07500201,0.0018192859,0.0067443564,0.00023294792,0.0017695826,0.08473449],"genre_scores_gemma":[0.9524183,0.036966674,0.0005732735,0.0045174425,0.00067213393,0.0001697668,0.00018625638,0.00009324511,0.0044028824],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9944834,0.00020325092,0.0015054937,0.0012053072,0.0013206693,0.0012818922],"domain_scores_gemma":[0.9974855,0.00005669665,0.00033673077,0.0010504127,0.00025045854,0.000820197],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0019627647,0.000688512,0.0013928496,0.00013963006,0.0008296159,0.000092297814,0.0012855727,0.00038813276,0.0056550144],"category_scores_gemma":[0.00005410028,0.00061265926,0.0011134734,0.0010352553,0.0006063172,0.0014391596,0.000012809206,0.00069055153,0.0003933324],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032230397,0.0043109525,0.5842246,0.020978287,0.0010319379,0.0005162941,0.11196599,0.000045934885,0.0015922432,0.037697516,0.013207484,0.22410649],"study_design_scores_gemma":[0.0013774212,0.000073684605,0.12786685,0.003798312,0.00070488657,0.0000047554267,0.00041812044,2.5713126e-7,0.00024134346,0.0045325267,0.85990906,0.0010728035],"about_ca_topic_score_codex":0.00294827,"about_ca_topic_score_gemma":0.011404881,"teacher_disagreement_score":0.84670156,"about_ca_system_score_codex":0.00027365098,"about_ca_system_score_gemma":0.0008120963,"threshold_uncertainty_score":0.9996325},"labels":[],"label_agreement":null},{"id":"W641940221","doi":"10.1016/j.jtrangeo.2009.02.002","title":"Measuring non-motorized accessibility: issues, alternatives, and execution","year":2009,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Transportation planning; Process (computing); Transport engineering; Computer science; Quality (philosophy); Environmental planning; Risk analysis (engineering); Business; Geography; Engineering","score_opus":0.02437186170491488,"score_gpt":0.3027141991321493,"score_spread":0.2783423374272344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W641940221","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9928258,0.0020451292,0.0011113617,0.0012073817,0.00040164537,0.00020565744,0.000006501542,0.00003399271,0.0021625273],"genre_scores_gemma":[0.99685335,0.0011250252,0.0013477341,0.00010548404,0.0004944868,0.0000012624749,0.0000030977117,0.0000074176032,0.000062121435],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978833,0.00008511866,0.00069071486,0.00024651972,0.00076581066,0.00032851825],"domain_scores_gemma":[0.99879503,0.00003353845,0.00041321653,0.00016254163,0.0003152789,0.00028039905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017130517,0.00017174109,0.0004113487,0.00030589255,0.00033208754,0.00007198055,0.00039721435,0.00012042937,0.000078389254],"category_scores_gemma":[0.00002700107,0.00014812159,0.0003401806,0.0004932249,0.00027096397,0.0011645735,0.0000037855098,0.00031988585,6.9876035e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019155558,0.00021250948,0.98423994,0.000021928356,0.000059723207,0.000053036623,0.0033089698,0.0000025794682,0.0012756378,0.00012491486,0.00003757041,0.010471612],"study_design_scores_gemma":[0.0008017446,0.00014869946,0.9844151,0.00009378412,0.000100963814,0.000002174547,0.000376443,0.0000022891252,0.0004653827,0.0054860744,0.007939483,0.0001678714],"about_ca_topic_score_codex":0.0006274493,"about_ca_topic_score_gemma":0.00026948185,"teacher_disagreement_score":0.01030374,"about_ca_system_score_codex":0.000038893882,"about_ca_system_score_gemma":0.00012423274,"threshold_uncertainty_score":0.6040223},"labels":[],"label_agreement":null},{"id":"W644443877","doi":"","title":"Interpersonal Commitments and the Travel/Activity Scheduling Process","year":2007,"lang":"en","type":"article","venue":"11th World Conference on Transport ResearchWorld Conference on Transport Research Society","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Scheduling (production processes); Interpersonal communication; Schedule; Work schedule; Operations research; Computer science; Psychology; Business; Operations management; Social psychology; Economics; Engineering","score_opus":0.16852180277773027,"score_gpt":0.42605306850280106,"score_spread":0.2575312657250708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W644443877","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79231465,0.00023059636,0.002825124,0.029126856,0.00028616443,0.0038290478,0.000121965495,0.00032020378,0.17094539],"genre_scores_gemma":[0.98593855,0.0014322554,0.00021780963,0.0005213051,0.0003892481,0.00035495823,0.00009077199,0.00008452624,0.010970567],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9855047,0.0012213589,0.0012152691,0.0021069993,0.0063315607,0.0036201456],"domain_scores_gemma":[0.9931219,0.0018924823,0.00028038866,0.0012554919,0.0018867307,0.0015629694],"candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.022196539,0.0008959334,0.0012361754,0.0007155398,0.0043539247,0.0005061063,0.0027424048,0.00048660027,0.0023843527],"category_scores_gemma":[0.00016742056,0.0006881638,0.00080384786,0.0032925068,0.010750832,0.000966728,0.00006261764,0.0058498248,0.00007115865],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.011948164,0.0025873368,0.2466763,0.0007271845,0.0006444119,0.00036721845,0.07089212,0.00002329019,0.0008454269,0.6244462,0.00035364006,0.040488694],"study_design_scores_gemma":[0.0126208225,0.0011417146,0.85417646,0.0024317813,0.00023486475,0.000003926686,0.05207112,0.0023346327,0.0048242477,0.06036355,0.007016994,0.0027799055],"about_ca_topic_score_codex":0.007761008,"about_ca_topic_score_gemma":0.066391885,"teacher_disagreement_score":0.60750014,"about_ca_system_score_codex":0.0005468275,"about_ca_system_score_gemma":0.0029684007,"threshold_uncertainty_score":0.99955696},"labels":[],"label_agreement":null},{"id":"W645013675","doi":"","title":"Synthesising the Transpose Times at Roadside Interview Sites Using Probability Functions Derived from Car Park Interview Data","year":2009,"lang":"en","type":"article","venue":"European Transport Conference, 2009Association for European Transport (AET)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Data collection; Transport engineering; Occupancy; Geography; Duration (music); Work (physics); Engineering; Statistics; Mathematics; Civil engineering","score_opus":0.13426809822190508,"score_gpt":0.305066213795426,"score_spread":0.1707981155735209,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W645013675","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9273467,0.0019618627,0.02646563,0.0032287512,0.0006902714,0.0028612728,0.0034614988,0.00094635086,0.03303767],"genre_scores_gemma":[0.98909515,0.00033728345,0.0013529044,0.0008465542,0.00070858485,0.000018561555,0.0051965374,0.00015569098,0.0022887583],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99032915,0.0030083898,0.0022573785,0.0019849075,0.0011197071,0.0013004607],"domain_scores_gemma":[0.99553925,0.00040688293,0.0009890001,0.0019169721,0.00063659623,0.00051129266],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0076677958,0.00091360783,0.0011159088,0.00018130043,0.002506079,0.00029236538,0.002986854,0.00021711552,0.0016094344],"category_scores_gemma":[0.00018282038,0.0007996427,0.0009025711,0.0008298843,0.00075598486,0.0015747928,0.000048988233,0.000670037,0.00016502014],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010323899,0.0028403485,0.7720334,0.0005282332,0.0017257644,0.0003701211,0.06272256,0.00068442256,0.009959595,0.0013533307,0.003283293,0.14346655],"study_design_scores_gemma":[0.0015684388,0.0001448383,0.90183794,0.0006379828,0.0017676605,0.0000016998586,0.0013346153,0.0003405156,0.00031889242,0.00062015106,0.09008895,0.0013383355],"about_ca_topic_score_codex":0.0008198905,"about_ca_topic_score_gemma":0.01524637,"teacher_disagreement_score":0.14212821,"about_ca_system_score_codex":0.0004432831,"about_ca_system_score_gemma":0.00046475188,"threshold_uncertainty_score":0.99944544},"labels":[],"label_agreement":null},{"id":"W647723064","doi":"","title":"Evaluating the Potential of Transportation-Related Social Exclusion of Elderly People: An Application of a Joint Mode Choice and Travel Distance Demand Model in the National Capital Region (NCR) of Canada","year":2014,"lang":"en","type":"article","venue":"Transportation Research Board 93rd Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Social exclusion; Travel survey; Empirical research; Travel behavior; Geography; Social capital; Demographic economics; Mode choice; Population; Mode (computer interface); Distance decay; Elderly people; Transport engineering; Public transport; Economics; Economic geography; Economic growth; Demography; Computer science; Gerontology; Engineering; Sociology; Medicine; Statistics","score_opus":0.06884186823983326,"score_gpt":0.4057073908580298,"score_spread":0.3368655226181966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W647723064","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.991025,0.00012166351,0.0046606376,0.0015679001,0.000038541788,0.0017253088,0.00059763854,0.00001667628,0.00024665945],"genre_scores_gemma":[0.9986959,0.00009871038,0.0004587484,0.000017104585,0.00006899256,0.00017556523,0.00040627093,0.000030814936,0.000047856098],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.988443,0.0020844217,0.0020447413,0.00068353757,0.006003612,0.00074066134],"domain_scores_gemma":[0.9926702,0.0013998842,0.0008280766,0.0003378781,0.004582031,0.000181952],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012447831,0.00026025265,0.00064223225,0.00047713376,0.0009607383,0.000035351964,0.0008219415,0.00027292068,0.000020941186],"category_scores_gemma":[0.00049360166,0.00021526581,0.00018262945,0.0020835467,0.0018023123,0.00067165226,0.00000606845,0.0008545593,1.9714363e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021719162,0.0014225857,0.40452558,0.0023691324,0.00015216575,0.0000066889584,0.3916317,0.07203462,0.043297943,0.07507921,0.00021170886,0.007096761],"study_design_scores_gemma":[0.0012905973,0.00042651454,0.9348203,0.00015124607,0.000057989055,7.2042965e-8,0.031726185,0.021266134,0.0010260426,0.009001782,0.000033197975,0.00019995854],"about_ca_topic_score_codex":0.49630225,"about_ca_topic_score_gemma":0.89232063,"teacher_disagreement_score":0.5302947,"about_ca_system_score_codex":0.00014341825,"about_ca_system_score_gemma":0.0019198243,"threshold_uncertainty_score":0.8778285},"labels":[],"label_agreement":null},{"id":"W648864809","doi":"","title":"Appraisal of Transport Policy and Strategic Plans in Canadian Urban Areas: A Survey of Planners and Policy-Makers in Government Agencies across Canada","year":2007,"lang":"en","type":"article","venue":"11th World Conference on Transport ResearchWorld Conference on Transport Research Society","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Process (computing); Transportation planning; Business; Sustainable transport; Transport policy; Urban planning; Environmental planning; Sustainability; Transport engineering; Geography; Engineering; Computer science; Public transport; Civil engineering","score_opus":0.13414430992410112,"score_gpt":0.40736756367366894,"score_spread":0.2732232537495678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W648864809","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9582567,0.000152999,0.000014907842,0.0036432084,0.0000728548,0.0014775537,0.0025674296,0.00003361275,0.033780705],"genre_scores_gemma":[0.99644333,0.0016230243,0.00003966943,0.00012112459,0.000089227324,0.00008132677,0.0003119134,0.000053707663,0.001236693],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98752993,0.0006774419,0.0017916119,0.0015149052,0.004611439,0.0038746637],"domain_scores_gemma":[0.99445623,0.0015328716,0.00028214447,0.0007976903,0.0008723318,0.0020587046],"candidate_categories":["metaepi_narrow","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0139910085,0.000710269,0.0013537885,0.0009378953,0.0006621783,0.0000855535,0.0014363449,0.00045539142,0.0002528281],"category_scores_gemma":[0.00027157477,0.0007160812,0.00023442839,0.005191807,0.0042614415,0.0004166554,0.000030487443,0.0024619633,0.0000011209484],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012056308,0.00033517432,0.9173043,0.0003896954,0.00008458871,0.00029009665,0.019561067,0.000027206874,0.00014683863,0.05920645,0.00003411011,0.0014148765],"study_design_scores_gemma":[0.0015716116,0.0002860848,0.97248936,0.0006891213,0.000013335864,7.259618e-7,0.022037921,0.000105626576,0.0003617321,0.0011626071,0.0006818606,0.0006000135],"about_ca_topic_score_codex":0.9966171,"about_ca_topic_score_gemma":0.99992853,"teacher_disagreement_score":0.05804384,"about_ca_system_score_codex":0.0023731757,"about_ca_system_score_gemma":0.028810846,"threshold_uncertainty_score":0.9998394},"labels":[],"label_agreement":null},{"id":"W649928807","doi":"","title":"PATTERNS OF AUTOMOBILE DEPENDENCE IN CITIES: AN INTERNATIONAL OVERVIEW OF KEY PHYSICAL AND ECONOMIC DIMENSIONS WITH SOME IMPLICATIONS FOR URBAN POLICY. IN: THE AUTOMOBILE","year":2003,"lang":"en","type":"article","venue":"Classics in Transport Analysis","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Public transport; Regional science; Business; Sample (material); Service (business); Public policy; Economic geography; Automotive industry; Urban policy; Economic growth; Urban planning; Geography; Economics; Political science","score_opus":0.03527949934119999,"score_gpt":0.3454597439356229,"score_spread":0.3101802445944229,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W649928807","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981951,0.00009370328,0.00030672,0.00030758747,0.00002057853,0.0003331653,0.0002514758,0.000008382645,0.0004832712],"genre_scores_gemma":[0.9993501,0.00025466617,0.000119431614,0.000036431076,0.000031480497,0.000112048285,0.00007217589,0.0000068621803,0.000016820955],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987645,0.000090561785,0.00045511744,0.0003092898,0.00017465539,0.00020587715],"domain_scores_gemma":[0.9992568,0.00018810999,0.00016147488,0.00029322572,0.00004822742,0.000052171636],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000639786,0.000114110415,0.00038104472,0.00033459262,0.00007037064,0.00001531052,0.000361527,0.00006981932,0.000030305675],"category_scores_gemma":[0.00001522654,0.00009174246,0.0001448917,0.00080133637,0.00026357168,0.00040729175,0.000004711537,0.00012083908,1.1790297e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010596684,0.0002685764,0.9035976,0.000023467117,0.000051790525,8.7490923e-7,0.009911027,0.0006697083,0.000021156338,0.085365996,9.2244017e-7,0.00007827808],"study_design_scores_gemma":[0.00034729912,0.00003715978,0.98821396,0.000028858123,0.00016180071,1.02210706e-7,0.0021727239,0.0005723044,0.000057049558,0.008098374,0.00020345599,0.000106913845],"about_ca_topic_score_codex":0.006957255,"about_ca_topic_score_gemma":0.20062883,"teacher_disagreement_score":0.19367158,"about_ca_system_score_codex":0.00011087463,"about_ca_system_score_gemma":0.00030694104,"threshold_uncertainty_score":0.9996555},"labels":[],"label_agreement":null},{"id":"W650171906","doi":"","title":"Cycling data and indicators: a critical ingredient in assigning priority for cycling","year":2005,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cycling; TRIPS architecture; Work (physics); Transport engineering; Journey to work; Engineering; Kilometer; Geography; Public transport; Archaeology","score_opus":0.06356421644867159,"score_gpt":0.410107141171327,"score_spread":0.3465429247226554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W650171906","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98572946,0.00022820696,0.0052612494,0.0021278667,0.00010694623,0.00027190056,0.000019429473,0.00006959101,0.0061853305],"genre_scores_gemma":[0.98675054,0.000017579976,0.012652706,0.00014669927,0.0003567172,0.000009057302,0.000014128295,0.0000055682704,0.000046974066],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99876106,0.0000497457,0.00028146434,0.00037936267,0.00019654994,0.00033180436],"domain_scores_gemma":[0.999152,0.00045868926,0.000038296897,0.00019939683,0.000025296687,0.00012629271],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019091398,0.0000750842,0.00014497383,0.000084936,0.00033046814,0.00010601179,0.0003114616,0.00009987642,0.000060330985],"category_scores_gemma":[0.00087025505,0.00007050475,0.000019860432,0.00019462979,0.0002292657,0.0007156973,0.00007878114,0.00015527049,0.0000018701195],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000116530155,0.00009505952,0.96644557,0.00002586126,0.0000037343568,0.0000015108922,0.0040573995,0.0000015187619,0.000054113625,0.004227295,0.000072372975,0.025003921],"study_design_scores_gemma":[0.0022782693,0.000082732164,0.85427046,0.00028755644,0.000103929495,5.3389306e-7,0.016187679,0.012778404,0.00084868836,0.012271505,0.09986306,0.0010272147],"about_ca_topic_score_codex":0.0008028885,"about_ca_topic_score_gemma":0.009914787,"teacher_disagreement_score":0.11217513,"about_ca_system_score_codex":0.000052884625,"about_ca_system_score_gemma":0.00010973606,"threshold_uncertainty_score":0.5532684},"labels":[],"label_agreement":null},{"id":"W650212863","doi":"","title":"Mobility Patterns of the Disabled in Montreal in 1998 and Long Term Perspectives","year":2004,"lang":"en","type":"article","venue":"10th International Conference on Mobility and Transport for Elderly and Disabled PeopleJapan Society of Civil EngineersTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Census; Baby boom; Sample (material); Population; Boom; Geography; Population ageing; Demographic economics; Gerontology; Demography; Sociology; Medicine; Economics; Engineering","score_opus":0.03856840947598679,"score_gpt":0.33740206985662935,"score_spread":0.2988336603806426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W650212863","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959857,0.00010078579,0.0005978814,0.0013257124,0.000050126546,0.001020538,0.00034066668,0.000014156025,0.00056445214],"genre_scores_gemma":[0.9986371,0.000990557,0.00008930961,0.000010843924,0.000021195283,0.0000955501,0.00007203152,0.000008641203,0.0000747717],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99785954,0.000077397526,0.00056707085,0.0005047456,0.0006411567,0.00035008154],"domain_scores_gemma":[0.99904346,0.00027806265,0.00010763744,0.00018569062,0.00025953507,0.00012561222],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013396482,0.00018249526,0.00035693773,0.00010275087,0.00018943046,0.000033779314,0.00026082064,0.00017844567,0.000071890005],"category_scores_gemma":[0.000051029678,0.00015970452,0.00016576349,0.0002955017,0.0010776641,0.00037182125,0.000009266978,0.00038057234,1.17391274e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032437904,0.00058555714,0.93573344,0.0005364904,0.00004038978,9.1022844e-7,0.04334593,0.00031637432,0.00013790837,0.018375235,0.0000011618059,0.00060224667],"study_design_scores_gemma":[0.0019627383,0.00015229936,0.96374565,0.00028172717,0.000018817142,9.2330616e-8,0.022888765,0.0001916435,0.00010412769,0.010506001,0.000009484159,0.00013864567],"about_ca_topic_score_codex":0.01768407,"about_ca_topic_score_gemma":0.43258584,"teacher_disagreement_score":0.41490176,"about_ca_system_score_codex":0.00010296297,"about_ca_system_score_gemma":0.00024337879,"threshold_uncertainty_score":0.98885727},"labels":[],"label_agreement":null},{"id":"W650591121","doi":"","title":"Early driving experience and risk perception in young rural people","year":2008,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Rural area; Perception; Psychology; Geography; Focus group; Relevance (law); Human factors and ergonomics; Socioeconomics; Poison control; Environmental health; Marketing; Political science; Business; Sociology; Medicine","score_opus":0.013987690965668386,"score_gpt":0.27555643152429343,"score_spread":0.26156874055862506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W650591121","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9906804,0.00001591661,0.00012300357,0.000048815135,0.000068407695,0.00008162535,4.4355093e-7,0.000043151613,0.008938231],"genre_scores_gemma":[0.99871236,0.00020013042,0.00016587549,0.000007468444,0.00004944976,0.00000589304,6.165148e-7,0.000002351431,0.00085586455],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99940115,0.0000461308,0.000105417064,0.00012957718,0.00015128957,0.00016644369],"domain_scores_gemma":[0.9998187,0.000020285992,0.000023734841,0.000064165564,0.000016808115,0.00005635261],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000184282,0.000046672838,0.000071967384,0.000027457028,0.00038543614,0.000032367036,0.00008126548,0.000041722087,0.0003945139],"category_scores_gemma":[0.00003156567,0.000041847023,0.000019408826,0.00016823434,0.0001859063,0.0005251167,0.0000101570395,0.00007256187,0.000008378495],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000018105352,0.000011154924,0.8716129,6.2317616e-7,4.1176492e-7,8.4552994e-7,0.12776273,2.0993076e-7,0.00008287978,0.00004149712,0.0000062700637,0.00047867786],"study_design_scores_gemma":[0.00008533016,0.0000063454195,0.9810516,0.000003532743,0.0000014049988,2.648896e-7,0.018620016,0.000030108306,0.000007687452,0.000106557134,0.000024175315,0.000062973646],"about_ca_topic_score_codex":0.114965096,"about_ca_topic_score_gemma":0.19510992,"teacher_disagreement_score":0.10943872,"about_ca_system_score_codex":0.000031283103,"about_ca_system_score_gemma":0.00002406504,"threshold_uncertainty_score":0.89092845},"labels":[],"label_agreement":null},{"id":"W650771425","doi":"10.5038/2375-0901.3.3.1","title":"Factor Analysis for the Study of Determinants of Public Transit Ridership","year":2001,"lang":"en","type":"article","venue":"Journal of Public Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Logistic regression; Public transport; Uncorrelated; Factor (programming language); Odds; Transit (satellite); Factor analysis; Econometrics; Statistics; Transport engineering; Business; Computer science; Engineering; Mathematics","score_opus":0.14073465805391663,"score_gpt":0.36226941683785935,"score_spread":0.22153475878394271,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W650771425","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98249125,0.00016676799,0.015890144,0.0008078695,0.00015283565,0.0003895732,0.00004074321,0.0000077305585,0.000053082003],"genre_scores_gemma":[0.99966866,0.000069158494,0.000084061656,0.000009349319,0.000090463895,0.000006726728,0.000007380855,0.0000071910426,0.000057001795],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975985,0.00017613277,0.0011091079,0.00013327885,0.00074350875,0.00023941678],"domain_scores_gemma":[0.9974048,0.00032559206,0.0010544797,0.00016198195,0.00092710054,0.00012601489],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024128167,0.00010370499,0.00045547224,0.00037173636,0.00020017855,0.000052462063,0.00046189906,0.000081157756,0.00026721673],"category_scores_gemma":[0.00013740298,0.000072210336,0.00046052295,0.0014162589,0.00016183115,0.0009506504,7.9712675e-7,0.00012406027,1.1512793e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006910312,0.0005767438,0.9679569,0.000024032552,0.0004148696,0.0000024539872,0.019942846,0.00005220921,0.00006169865,0.00009765296,0.000008059983,0.0107934065],"study_design_scores_gemma":[0.00086839485,0.0002684807,0.9773261,0.000007962201,0.0008095335,1.3484495e-7,0.019743817,0.000050198465,0.000094506984,0.0001838869,0.0005764768,0.000070534115],"about_ca_topic_score_codex":0.001186692,"about_ca_topic_score_gemma":0.10769089,"teacher_disagreement_score":0.1065042,"about_ca_system_score_codex":0.000034717334,"about_ca_system_score_gemma":0.00029335695,"threshold_uncertainty_score":0.9085914},"labels":[],"label_agreement":null},{"id":"W651002158","doi":"","title":"Utilisation des donnees sur le deplacements domicile-travail, suivi et caracterisation des navatteurs: une perspective sur 20 ans","year":2004,"lang":"fr","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Geography; Art","score_opus":0.044890922758294455,"score_gpt":0.3018157073253868,"score_spread":0.25692478456709233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W651002158","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9757417,0.0028028816,0.0028052093,0.0052138637,0.000712204,0.0006291261,0.00009833681,0.00016474938,0.011831934],"genre_scores_gemma":[0.9882561,0.0006993429,0.0007938403,0.0002488931,0.0002652181,0.00002322979,0.00010978593,0.000033712422,0.009569908],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969261,0.0003877308,0.00057417824,0.0007086344,0.0005770111,0.00082630495],"domain_scores_gemma":[0.9983992,0.00016218431,0.00024633153,0.0002843404,0.0006518165,0.0002561075],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012690387,0.0003714234,0.0003830964,0.00010527697,0.000945755,0.0002936312,0.00033599813,0.0002793165,0.0008132177],"category_scores_gemma":[0.00018389523,0.00037927873,0.00020614993,0.00091379345,0.0019688092,0.0034573104,0.0000322814,0.00027309643,0.00008930088],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015214381,0.0012249239,0.8282399,0.00011832398,0.00013450504,0.000010186659,0.14628145,0.00031899818,0.0029313639,0.01609412,0.00033643792,0.0041576135],"study_design_scores_gemma":[0.0020421494,0.0001624782,0.9061477,0.0002129369,0.00013000311,0.0000014609218,0.05846789,0.00005589848,0.0045714364,0.026031936,0.0016503779,0.0005256914],"about_ca_topic_score_codex":0.5026867,"about_ca_topic_score_gemma":0.657401,"teacher_disagreement_score":0.15471435,"about_ca_system_score_codex":0.001469018,"about_ca_system_score_gemma":0.0011084668,"threshold_uncertainty_score":0.9998659},"labels":[],"label_agreement":null},{"id":"W651386819","doi":"","title":"RETHINKING LIGHT RAIL TRANSIT PLANNING IN HAMILTON, ONTARIO: A COMPARATIVE REVIEW AND CRITICAL ASSESSMENT","year":2013,"lang":"en","type":"review","venue":"Transportation Research Board 92nd Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Light rail transit; Process (computing); Light rail; Perception; Transportation planning; Transit-oriented development; Investment (military); Transit (satellite); Transport engineering; Business; Urban planning; Land use; Environmental planning; Public transport; Engineering; Computer science; Political science; Geography; Civil engineering; Politics","score_opus":0.2385128513500573,"score_gpt":0.5178083992210805,"score_spread":0.2792955478710232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W651386819","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009153698,0.97048265,0.000113458,0.002897886,0.00026305256,0.009220683,0.0004925632,0.000257794,0.0071181934],"genre_scores_gemma":[0.02211409,0.9694985,0.0017829681,0.000121725585,0.00026380134,0.002833417,0.0010381218,0.00016071017,0.002186641],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.9773991,0.0066406997,0.0036232595,0.0026575997,0.006483914,0.0031954048],"domain_scores_gemma":[0.98862123,0.004577955,0.0005483165,0.0008808847,0.0040144245,0.0013571663],"candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["sts","research_integrity"],"category_scores_codex":[0.018590383,0.0011406466,0.0039136773,0.0022328007,0.0025036866,0.00072817586,0.0016233808,0.0013211246,0.0016848968],"category_scores_gemma":[0.0005129277,0.0010904734,0.00074772566,0.0044860747,0.0030623637,0.0021273028,0.000026188845,0.008263794,0.00009078865],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00049118407,0.002465193,0.062986195,0.2163062,0.0010639799,0.0021434966,0.5909849,0.000045008816,0.00002077419,0.025991684,0.021659689,0.07584175],"study_design_scores_gemma":[0.00084740424,0.00031981926,0.035448737,0.051210456,0.0006764649,5.6566483e-7,0.01122776,0.0000056448816,0.000002713,0.0025934812,0.8963784,0.0012885327],"about_ca_topic_score_codex":0.17952426,"about_ca_topic_score_gemma":0.571405,"teacher_disagreement_score":0.8747187,"about_ca_system_score_codex":0.001593147,"about_ca_system_score_gemma":0.0054079834,"threshold_uncertainty_score":0.9999754},"labels":[],"label_agreement":null},{"id":"W651512165","doi":"","title":"Exploring Changes Affecting Travel Behavior of Seniors","year":2012,"lang":"en","type":"article","venue":"Transportation Research Board 91st Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cohort effect; Cohort; Population ageing; Population; Demography; Public transport; Period (music); Geography; Gerontology; Demographic economics; Transport engineering; Medicine; Economics; Sociology; Engineering","score_opus":0.23370607897455012,"score_gpt":0.4356159157640858,"score_spread":0.2019098367895357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W651512165","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9906096,0.0004782772,0.0002150329,0.0010438191,0.00059684075,0.0023976443,0.00033624982,0.00025649968,0.004066047],"genre_scores_gemma":[0.9948829,0.00083101034,0.0011203748,0.000024737266,0.0008895443,0.0010028426,0.00023945306,0.000109392146,0.0008997705],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9858977,0.0021965674,0.0013613785,0.0009925222,0.0064074593,0.00314436],"domain_scores_gemma":[0.99196196,0.0019014955,0.0003488552,0.0006464196,0.0038943102,0.0012469649],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.017615035,0.0004542786,0.0007512159,0.0016865416,0.002309012,0.0001563648,0.0010168742,0.00041547563,0.0008479662],"category_scores_gemma":[0.0007145446,0.00048193004,0.00035581447,0.0041098846,0.0023529322,0.0029235454,0.000016879134,0.0019715428,0.000077441604],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040046938,0.00082339434,0.8492944,0.0005079991,0.00007229383,0.00004206854,0.12726876,0.000027102018,0.008353768,0.0057644146,0.00035627245,0.0070890347],"study_design_scores_gemma":[0.000745707,0.00024705776,0.87122566,0.0002516025,0.00007225352,8.427099e-8,0.106791414,0.000004338784,0.013602082,0.00017888722,0.006433912,0.00044703248],"about_ca_topic_score_codex":0.067568235,"about_ca_topic_score_gemma":0.09992935,"teacher_disagreement_score":0.032361113,"about_ca_system_score_codex":0.00033818523,"about_ca_system_score_gemma":0.0007145552,"threshold_uncertainty_score":0.99976325},"labels":[],"label_agreement":null},{"id":"W651965819","doi":"","title":"Gender Differences: The Roles of Travel and Time Use in Subjective Well-Being","year":2015,"lang":"en","type":"article","venue":"Transportation Research Board 94th Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Subjective well-being; Time-use survey; Psychological intervention; Psychology; Quality of life (healthcare); Quality (philosophy); Value (mathematics); Demographic economics; Demography; Gerontology; Social psychology; Work (physics); Happiness; Medicine; Economics; Sociology; Computer science","score_opus":0.09858094267837922,"score_gpt":0.3836248016644407,"score_spread":0.28504385898606144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W651965819","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98883057,0.00028751156,0.00014505685,0.0012257335,0.00008370527,0.0017899023,0.00015130552,0.00007705674,0.007409141],"genre_scores_gemma":[0.99769896,0.00031351275,0.0003435862,0.000044395078,0.00012815645,0.00020458915,0.00010417111,0.000046125995,0.0011164737],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9889292,0.0027761434,0.0011917634,0.0009539285,0.0046204953,0.0015284648],"domain_scores_gemma":[0.9924605,0.0026510777,0.00021718591,0.000472464,0.0034663624,0.00073244603],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0138547355,0.0003275738,0.000590872,0.0010115381,0.0010101881,0.00025671034,0.0008626742,0.00035106775,0.00022460062],"category_scores_gemma":[0.000973048,0.00027340456,0.00015939803,0.002854722,0.0031850785,0.0014999721,0.000015855345,0.0015555809,0.000033366723],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007262362,0.00022288687,0.8317717,0.00010342537,0.000041112464,0.00004451053,0.15447454,0.000065250555,0.00033201714,0.011321441,0.00032463085,0.00057226565],"study_design_scores_gemma":[0.0011018182,0.00020698359,0.89644057,0.00013991099,0.000025413154,6.397544e-8,0.09056398,0.00011248906,0.00043443567,0.009569613,0.0011371456,0.00026756883],"about_ca_topic_score_codex":0.08736063,"about_ca_topic_score_gemma":0.29344022,"teacher_disagreement_score":0.20607959,"about_ca_system_score_codex":0.0002139543,"about_ca_system_score_gemma":0.0013412512,"threshold_uncertainty_score":0.9999718},"labels":[],"label_agreement":null},{"id":"W653048484","doi":"","title":"Spatio-temporal Analysis of Car Distance and Greenhouse Gases and Effect of Built Environment: Latent Class Regression Analysis","year":2013,"lang":"en","type":"article","venue":"Transportation Research Board 92nd Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Latent class model; Environmental science; Regression analysis; Population; Demographics; Econometrics; Geography; Statistics; Transport engineering; Mathematics; Engineering; Demography","score_opus":0.03697066741674985,"score_gpt":0.36540760279891243,"score_spread":0.32843693538216256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W653048484","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953404,0.00073431793,0.0004395953,0.0007976989,0.000030556213,0.0016285783,0.0007352867,0.00006499478,0.00022856153],"genre_scores_gemma":[0.9966181,0.0013361459,0.00052474614,0.000008788591,0.000042095016,0.00022311028,0.00075932115,0.000036057772,0.0004516358],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99066323,0.0018821603,0.0014339475,0.0011004318,0.0038599393,0.0010602847],"domain_scores_gemma":[0.99467915,0.0018484676,0.0004773692,0.0005831866,0.0017542009,0.0006576062],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0065135607,0.00037665133,0.001205604,0.0024224177,0.00087352266,0.00013696721,0.0005135585,0.00032616762,0.00075762667],"category_scores_gemma":[0.00029903068,0.00032829624,0.00045758058,0.0056292755,0.0031632483,0.0011126949,0.000018914765,0.0007606346,0.0000052095156],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006573661,0.00019437396,0.9812087,0.00042370486,0.0010786342,0.00001930762,0.012495201,0.00084751326,0.0009040741,0.00053370674,0.00015028793,0.0014871351],"study_design_scores_gemma":[0.0008592685,0.00045372188,0.988528,0.00012793388,0.0013399374,1.536082e-8,0.004726892,0.0009844191,0.001574148,0.0003043226,0.0008123078,0.00028903826],"about_ca_topic_score_codex":0.14929235,"about_ca_topic_score_gemma":0.16345426,"teacher_disagreement_score":0.014161915,"about_ca_system_score_codex":0.00011732935,"about_ca_system_score_gemma":0.00020485638,"threshold_uncertainty_score":0.9999169},"labels":[],"label_agreement":null},{"id":"W653321567","doi":"","title":"Planning for Future Successes Among Rural Volunteer Driver Programs: Understanding Local Preferences of Prospective Users and Drivers","year":2014,"lang":"en","type":"article","venue":"Transportation Research Board 93rd Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Receipt; TRIPS architecture; Business; Data collection; Public relations; Donation; Marketing; Psychology; Medical education; Medicine; Transport engineering; Political science; Engineering; Sociology","score_opus":0.07286094605383678,"score_gpt":0.38731734724368344,"score_spread":0.31445640118984663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W653321567","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9849115,0.00016506427,0.008763264,0.00097297196,0.00021623631,0.003113836,0.00020630338,0.00019582499,0.0014550058],"genre_scores_gemma":[0.99695885,0.00020352853,0.0012428135,0.000013717569,0.00036275608,0.0004793078,0.00030362234,0.00006313405,0.0003722932],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9915415,0.0010760331,0.001047186,0.0010446631,0.0036349064,0.0016557067],"domain_scores_gemma":[0.9934909,0.0016086833,0.00032325526,0.00035043742,0.0035734596,0.000653303],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.007088236,0.000393998,0.0006514272,0.00089015,0.0021384044,0.0002967344,0.00075137714,0.00046666936,0.00011756486],"category_scores_gemma":[0.00035763162,0.0003840587,0.00024335147,0.001946224,0.0051913895,0.0017743583,0.000013680762,0.0011680576,0.0000036761235],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00084822444,0.00018730322,0.88839364,0.0006082056,0.000105072926,0.000009221726,0.08240602,0.00019453868,0.00016764151,0.02448888,0.00029750125,0.0022937676],"study_design_scores_gemma":[0.0014024099,0.0006229379,0.7339636,0.00044956434,0.000057982215,2.9421006e-8,0.25012508,0.00015745134,0.00049457204,0.009254104,0.003102587,0.00036964795],"about_ca_topic_score_codex":0.026756188,"about_ca_topic_score_gemma":0.12740578,"teacher_disagreement_score":0.16771907,"about_ca_system_score_codex":0.0003540759,"about_ca_system_score_gemma":0.0006282256,"threshold_uncertainty_score":0.9998611},"labels":[],"label_agreement":null},{"id":"W654805415","doi":"","title":"A New Approach in the GIS Bikeshed Analysis with Consideration of Topography, Street Connectivity, and Energy Consumption","year":2013,"lang":"en","type":"article","venue":"Transportation Research Board 92nd Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transport engineering; Geographic information system; Land use; Geography; Demographics; Energy consumption; Elevation (ballistics); Transportation planning; Environmental planning; Business; Cartography; Civil engineering; Engineering","score_opus":0.06464572581785685,"score_gpt":0.37385988433460343,"score_spread":0.3092141585167466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W654805415","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.990084,0.0002061952,0.003342454,0.0021971948,0.000027188904,0.0014034132,0.0001239026,0.00006782588,0.0025478103],"genre_scores_gemma":[0.9959467,0.0003714829,0.0024371115,0.000056132332,0.00007669803,0.0004070493,0.00033597994,0.000027250273,0.0003415729],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9909321,0.0024214413,0.0009861455,0.0009585436,0.003639804,0.001061969],"domain_scores_gemma":[0.9945267,0.0020151744,0.00023653814,0.0004917295,0.0023096225,0.00042025995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0070410115,0.0002941282,0.0005907835,0.0018847235,0.0009831353,0.00034209588,0.0005873319,0.00028289118,0.0007180779],"category_scores_gemma":[0.00018209626,0.00023465176,0.0001989999,0.0056239753,0.002171816,0.0013719558,0.000007640504,0.00091413944,0.000006619131],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030789402,0.000335019,0.94815075,0.00016244747,0.00019131138,0.000017795703,0.029965194,0.00026393266,0.0003495804,0.017265067,0.00080375443,0.0021872532],"study_design_scores_gemma":[0.001075369,0.00022856703,0.9593239,0.00007027729,0.00012918071,7.039472e-8,0.035612322,0.00015050752,0.00019241346,0.0022768094,0.0006866502,0.00025395607],"about_ca_topic_score_codex":0.31506827,"about_ca_topic_score_gemma":0.47205657,"teacher_disagreement_score":0.15698828,"about_ca_system_score_codex":0.000102613674,"about_ca_system_score_gemma":0.0007724545,"threshold_uncertainty_score":0.9568821},"labels":[],"label_agreement":null},{"id":"W654861553","doi":"10.3141/2531-10","title":"Chasing Sustainability","year":2015,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"TRIPS architecture; Sustainability; Travel behavior; Destinations; Sustainable transport; Urban sprawl; Multinomial logistic regression; Mode choice; Relocation; Public transport; Business; Incentive; Transport engineering; Transit-oriented development; Travel survey; Work (physics); Marketing; Urban planning; Geography; Economics; Tourism; Engineering; Computer science","score_opus":0.17199168633370135,"score_gpt":0.4629413143363037,"score_spread":0.2909496280026024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W654861553","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9820047,0.0003181087,0.00082295894,0.012923088,0.0009250195,0.001182799,0.000026278714,0.000049946928,0.001747097],"genre_scores_gemma":[0.99634606,0.0001806823,0.0007070238,0.00004940898,0.00052842085,0.000040436593,0.000008638305,0.00003773655,0.002101618],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9871393,0.0030883094,0.0014609307,0.00046341465,0.006536417,0.0013116203],"domain_scores_gemma":[0.98459506,0.0010232381,0.00046042568,0.0005759055,0.012344894,0.0010004499],"candidate_categories":["sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.017980237,0.00022651198,0.00046910445,0.00080147636,0.0015385246,0.0002716556,0.0017475005,0.00027153484,0.00030249186],"category_scores_gemma":[0.0013659791,0.00017400215,0.00045834656,0.0034519865,0.0023568827,0.0014303639,0.000007853871,0.0024807365,0.000021690083],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010772769,0.00036032574,0.9505169,0.00013275031,0.00006376194,0.00010852323,0.024875458,0.00024321448,0.0001378205,0.0070749773,0.007594495,0.007814503],"study_design_scores_gemma":[0.0012398702,0.0003076166,0.85221756,0.00013289157,0.00003897537,7.599795e-8,0.03071658,0.0000137322795,0.00029541273,0.03686523,0.07797739,0.00019467028],"about_ca_topic_score_codex":0.08329427,"about_ca_topic_score_gemma":0.23042749,"teacher_disagreement_score":0.14713322,"about_ca_system_score_codex":0.0011139838,"about_ca_system_score_gemma":0.0048545557,"threshold_uncertainty_score":0.9998206},"labels":[],"label_agreement":null},{"id":"W658833082","doi":"","title":"Work Trips: Are There Still Gender Differences? Case of Quebec Metropolitan Area, 1991 and 2001","year":2006,"lang":"en","type":"article","venue":"Transportation Research Board 85th Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"TRIPS architecture; Metropolitan area; Work (physics); Demographic economics; Journey to work; Distribution (mathematics); Geography; Demography; Sociology; Economics; Public transport; Transport engineering; Mathematics; Engineering","score_opus":0.097073166274176,"score_gpt":0.39427332444386215,"score_spread":0.29720015816968615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W658833082","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98832273,0.001372367,0.0002606854,0.0012732936,0.00015424257,0.0019832568,0.0008750903,0.00021208085,0.005546262],"genre_scores_gemma":[0.993531,0.00044859303,0.000952119,0.00003184757,0.00032877785,0.00026223622,0.00038248242,0.0000798015,0.0039831414],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9877533,0.002165737,0.0017247907,0.0014097254,0.004509441,0.0024370372],"domain_scores_gemma":[0.99159867,0.0019000899,0.00049493083,0.0006866257,0.0043101436,0.0010095423],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.008520666,0.0005246388,0.00090749416,0.0013835897,0.0018547799,0.00030762103,0.00083897315,0.0005727402,0.001163538],"category_scores_gemma":[0.0005376068,0.00050117663,0.00032625298,0.004085633,0.0039695227,0.0012187469,0.000016412923,0.0017213081,0.00002307585],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00085717137,0.0006059002,0.9625239,0.00048283354,0.000099361896,0.0012525102,0.015337469,0.00005004187,0.00019590961,0.013273394,0.0040052896,0.0013162269],"study_design_scores_gemma":[0.0012629678,0.00018993094,0.9031696,0.00023765134,0.000072672185,5.7572794e-7,0.0838206,0.000023068833,0.00022401576,0.0054003396,0.0051115276,0.00048709384],"about_ca_topic_score_codex":0.66867363,"about_ca_topic_score_gemma":0.842126,"teacher_disagreement_score":0.17345239,"about_ca_system_score_codex":0.00050435873,"about_ca_system_score_gemma":0.0009230651,"threshold_uncertainty_score":0.99974954},"labels":[],"label_agreement":null},{"id":"W6886029589","doi":"10.14288/1.0308593","title":"Bike Score®: Associations between urban bikeability and cycling behavior in 24 cities","year":2016,"lang":"en","type":"article","venue":"Open Collections","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cycling; Census; Metric (unit); Mode (computer interface); Linear regression; Population; Poison control; Regression analysis","score_opus":0.0661194834360281,"score_gpt":0.3360183372714368,"score_spread":0.26989885383540874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6886029589","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92356676,0.00003450938,0.000059981856,0.0010102311,0.00025535125,0.00077997794,0.00026080996,0.000058140082,0.073974214],"genre_scores_gemma":[0.93560386,0.000023036537,0.00012967105,0.000021062646,0.00012712054,0.00014146791,0.000007774045,0.000007184896,0.06393884],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99878156,0.00016806176,0.00029509197,0.00030561822,0.00018208173,0.00026755888],"domain_scores_gemma":[0.9990467,0.0005119333,0.00008263084,0.00016611088,0.00008437346,0.00010825141],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.000855084,0.000088140834,0.00020501339,0.00008353528,0.002929056,0.0006487713,0.00027871822,0.00010722859,0.0005735362],"category_scores_gemma":[0.00038348945,0.000073667456,0.00004996025,0.0009919914,0.0003091738,0.00068312354,0.00006520012,0.00011283416,0.0000044011185],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003965623,0.000074379706,0.99387884,0.0000014381584,0.000007218448,5.848737e-7,0.0010638561,7.7979806e-8,0.000020443475,0.0001464459,0.004000643,0.0008021306],"study_design_scores_gemma":[0.0003401321,0.00002075191,0.9878667,0.000020550853,0.000032765012,4.7490026e-8,0.0006327079,4.0105232e-7,0.000059373055,0.0038343566,0.0070648734,0.00012735811],"about_ca_topic_score_codex":0.0788074,"about_ca_topic_score_gemma":0.24408142,"teacher_disagreement_score":0.16527402,"about_ca_system_score_codex":0.00028567816,"about_ca_system_score_gemma":0.00031366706,"threshold_uncertainty_score":0.998369},"labels":[],"label_agreement":null},{"id":"W6886050036","doi":"10.14288/1.0444017","title":"Essays on worker mobility, spatial labor markets, and urban real estate markets","year":2024,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Apartment; Wage; Real estate; Attractiveness; Payment; Value (mathematics); Willingness to pay; Listing (finance); Spatial mismatch; Unemployment","score_opus":0.007753964852280858,"score_gpt":0.21026333221760485,"score_spread":0.202509367365324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6886050036","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95194834,0.00019023915,0.00003552534,0.0003091783,0.00030576077,0.0002717099,0.00029000227,0.00016127434,0.046487976],"genre_scores_gemma":[0.99502975,0.0012215055,0.00007488088,0.000022106451,0.000095061805,0.0000010065161,0.000017677326,0.000012677132,0.003525309],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9984479,0.00017078963,0.00013446536,0.0005472424,0.00037971823,0.0003198778],"domain_scores_gemma":[0.99927676,0.0001504579,0.000055335066,0.00021785316,0.00010283281,0.00019676053],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074464554,0.000056289253,0.00022538897,0.00004614184,0.0004762313,0.00029792162,0.0002936128,0.00014878153,0.00070925156],"category_scores_gemma":[0.000035865225,0.00017560246,0.00010718659,0.00038136326,0.0008226018,0.000482947,0.000070992675,0.00019895872,0.000015176744],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004665115,0.000110754336,0.32653585,0.00009474653,0.000029280469,0.0002286954,0.0015629219,1.9748336e-7,0.000006632951,0.000012083793,0.004388076,0.6669841],"study_design_scores_gemma":[0.00033158596,0.0000358535,0.9898572,0.00019796296,0.000044794553,0.0000013732263,0.0018599356,0.00008442461,2.2186778e-7,0.00068763364,0.006718823,0.00018018608],"about_ca_topic_score_codex":0.40728596,"about_ca_topic_score_gemma":0.7745227,"teacher_disagreement_score":0.6668039,"about_ca_system_score_codex":0.00010294402,"about_ca_system_score_gemma":0.00020098797,"threshold_uncertainty_score":0.7765807},"labels":[],"label_agreement":null},{"id":"W6888871030","doi":"10.22108/gep.2022.133178.1511","title":"Measuring Accessibility to Medical Centers in Isfahan City Using 2SFCA Method","year":2023,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Catchment area; Census; Variety (cybernetics); Gini coefficient; Inequality; Metropolitan area; Function (biology); Urban planning","score_opus":0.5092853099372399,"score_gpt":0.6220895380508311,"score_spread":0.11280422811359125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6888871030","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98975074,0.0009189087,0.0016712492,0.00092307397,0.001076461,0.000834983,0.00003325124,0.0001323539,0.004658958],"genre_scores_gemma":[0.9973924,0.0007724614,0.0008343363,0.00043948175,0.00031782492,0.00003256765,0.000007739303,0.000041376763,0.00016179444],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99257493,0.0013712912,0.0015054313,0.0009626037,0.0025498369,0.001035935],"domain_scores_gemma":[0.99646044,0.0007453517,0.0006044417,0.00063530746,0.00036818272,0.0011862571],"candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01534856,0.00036473366,0.0010496044,0.001280996,0.0007628436,0.001365542,0.0053791082,0.00028902967,0.01409424],"category_scores_gemma":[0.003471765,0.0003503374,0.00030827732,0.0052331937,0.00035149648,0.00386957,0.0012323683,0.00075685873,0.00002062811],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013908444,0.00022561612,0.9779205,0.00007291742,0.00005400943,0.00007793231,0.0019492063,0.00013564146,0.0052000736,0.00003639939,0.001552803,0.012635868],"study_design_scores_gemma":[0.00043087488,0.0000038558987,0.9872918,0.00048328523,0.000037339116,8.021577e-7,0.0006224345,0.00026705282,0.0034471105,0.0051621604,0.0018361708,0.00041711368],"about_ca_topic_score_codex":0.03520224,"about_ca_topic_score_gemma":0.018504092,"teacher_disagreement_score":0.016698146,"about_ca_system_score_codex":0.00051201787,"about_ca_system_score_gemma":0.0010275599,"threshold_uncertainty_score":0.99989486},"labels":[],"label_agreement":null},{"id":"W6888986287","doi":"10.25316/ir-17065","title":"Youth and Public Transit: A Knowledge Synthesis of Recent Publications (SSHRC Forum Presentation)","year":2022,"lang":"en","type":"other","venue":"VIUSpace (Vancouver Island University Library)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Presentation (obstetrics); Public transport; Equity (law); Work (physics); Transit (satellite); Public funding; Focus group; Order (exchange)","score_opus":0.019253541692201476,"score_gpt":0.23154415783626695,"score_spread":0.21229061614406547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6888986287","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0007053101,0.00044620558,0.00016705971,0.0035603866,0.0003205639,0.0005039301,0.001067194,0.00029493397,0.9929344],"genre_scores_gemma":[0.09423175,0.0019969833,0.0002081106,0.000037885588,0.000119880606,0.000005530378,0.00013337219,0.00009847086,0.903168],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984293,0.0002729664,0.0001651617,0.00045761644,0.00033186475,0.00034308172],"domain_scores_gemma":[0.99901015,0.00012706804,0.00024823582,0.00034826307,0.000052293297,0.00021397091],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000098982455,0.00021441079,0.00035531475,0.0005537396,0.0004745943,0.00007858945,0.0006008759,0.00023458684,0.027034195],"category_scores_gemma":[0.00004030087,0.00023120981,0.0001319577,0.0011202618,0.0005128837,0.0010108728,0.00010325136,0.00022026569,0.0000051716456],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024743164,0.00018751026,0.03792369,0.000067938025,0.00009324542,0.0000028870988,0.0056062997,2.8651502e-7,2.5841678e-7,0.0019613572,0.95170873,0.0024230494],"study_design_scores_gemma":[0.00034866217,0.000017970631,0.0027363314,0.000028904327,0.00013435568,4.0061522e-8,0.026311466,0.0000022480922,0.0000069610655,0.00009651936,0.970065,0.00025156926],"about_ca_topic_score_codex":0.0028945473,"about_ca_topic_score_gemma":0.75868875,"teacher_disagreement_score":0.75579417,"about_ca_system_score_codex":0.00008071614,"about_ca_system_score_gemma":0.0006351116,"threshold_uncertainty_score":0.9738552},"labels":[],"label_agreement":null},{"id":"W6889048887","doi":"10.25394/pgs.16826254.v1","title":"The Role of Transit in the Upward Mobility of Low-Income Indianapolis Residents","year":2021,"lang":"en","type":"dissertation","venue":"Figshare","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Earnings; Census; Transit (satellite); Downtown; Transit system; Quarter (Canadian coin); Public transport; Social mobility","score_opus":0.017688015539260273,"score_gpt":0.30708917436588795,"score_spread":0.2894011588266277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6889048887","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9009568,0.0036017166,2.0054603e-8,0.000084404426,0.00014004394,0.0008155221,0.070067175,0.000015307594,0.02431898],"genre_scores_gemma":[0.96100265,0.000032808322,0.000001294808,0.00001004195,0.00006325961,0.000094247494,0.03825686,0.000008744188,0.00053007295],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99822056,0.00026336324,0.00044672238,0.00023005446,0.00061979436,0.00021949761],"domain_scores_gemma":[0.99869066,0.00035750106,0.0002907809,0.0003922711,0.00023168391,0.000037071866],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00044978663,0.000126963,0.00027234264,0.00004706056,0.00021012874,0.000053002397,0.000927245,0.0002580168,0.015628695],"category_scores_gemma":[0.00069108425,0.00008573256,0.00020709964,0.00049844524,0.000045772507,0.00012144869,0.00001088206,0.00030656363,0.000013706983],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005238578,0.0012445628,0.4653767,0.00865296,0.00027918027,0.000060618633,0.47477454,0.000023901488,0.00022223529,0.00068134395,0.015342636,0.03281745],"study_design_scores_gemma":[0.00008668715,0.000009370146,0.9693682,0.0015563914,0.000016520786,2.3373271e-8,0.022600299,0.0000010206984,0.0013102138,0.0011441495,0.0038048485,0.000102282655],"about_ca_topic_score_codex":0.0065154745,"about_ca_topic_score_gemma":0.16260456,"teacher_disagreement_score":0.5039915,"about_ca_system_score_codex":0.000042059826,"about_ca_system_score_gemma":0.00053822144,"threshold_uncertainty_score":0.98527116},"labels":[],"label_agreement":null},{"id":"W6889059765","doi":"10.25384/sage.23260758","title":"<b>Supplemental Material - Estimating household demand for transit-oriented development: A two-stage hedonic analysis in Kitchener-Waterloo, Canada</b>","year":2023,"lang":"en","type":"article","venue":"Sage Journals Data","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Consumption (sociology); Analytics; Estimation; Production (economics); Demand forecasting; Urban planning","score_opus":0.0676149221698838,"score_gpt":0.3425400566293492,"score_spread":0.2749251344594654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6889059765","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97484815,0.00021980386,0.014242386,0.0006427591,0.00048574334,0.00046708825,0.008974695,0.000079027566,0.000040326766],"genre_scores_gemma":[0.9878709,0.00007644035,0.007878766,0.000081326754,0.0002752161,0.000029617671,0.003492661,0.000021801945,0.00027330063],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99721974,0.00014827895,0.0007744535,0.00049834384,0.000632521,0.00072668697],"domain_scores_gemma":[0.9989923,0.00010552917,0.00021397634,0.00043925198,0.000042181346,0.00020671007],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003126048,0.00018612952,0.00039893403,0.00029998462,0.0007047458,0.0002457191,0.000890962,0.00006930683,0.0017126655],"category_scores_gemma":[0.00008536601,0.00017685066,0.00008178726,0.001585827,0.00006922002,0.0007581457,0.00011294546,0.00016340349,0.0000019255249],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018263879,0.00024187868,0.94755864,0.00020296236,0.00084712723,0.00041379308,0.019081201,0.0022355826,0.0023594033,0.000017285343,0.0029611005,0.02389839],"study_design_scores_gemma":[0.008207195,0.0000665364,0.8759898,0.0010296686,0.0017183188,0.0000035648197,0.02014848,0.026596496,0.0056302003,0.0005789037,0.057902183,0.002128631],"about_ca_topic_score_codex":0.45146266,"about_ca_topic_score_gemma":0.9783899,"teacher_disagreement_score":0.52692723,"about_ca_system_score_codex":0.00025431975,"about_ca_system_score_gemma":0.001025909,"threshold_uncertainty_score":0.9991999},"labels":[],"label_agreement":null},{"id":"W6893421361","doi":"10.5281/zenodo.16883495","title":"Recharging the 15-Minute City: How e-micromobility is expanding access","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Focus (optics); Data access; Government (linguistics); Key (lock); Current (fluid); Universal design","score_opus":0.07594176110733426,"score_gpt":0.3348226999856983,"score_spread":0.25888093887836405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6893421361","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5654023,0.00026937417,0.0062231366,0.031304497,0.00049304275,0.001223078,0.00016665673,0.0013155105,0.3936024],"genre_scores_gemma":[0.99312466,0.000081921076,0.000041322535,0.00051647454,0.00014698057,8.539843e-8,0.0001143784,0.0002010509,0.0057731094],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99805355,0.000487152,0.00020090517,0.00044781607,0.00038708752,0.00042347246],"domain_scores_gemma":[0.9988122,0.00006682801,0.00009508493,0.0005023714,0.00041014128,0.000113381146],"candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0021238483,0.00011865542,0.00013992368,0.0001366072,0.0068126726,0.002455499,0.001983798,0.00007896485,0.010397149],"category_scores_gemma":[0.0007174071,0.000102511774,0.000080106256,0.0011551945,0.0004921962,0.0007057387,0.0007520946,0.00032099156,0.00035846472],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015027994,0.00038303484,0.010577712,0.00022721205,0.00016723716,0.00001671283,0.034841977,0.0000049166924,0.0034536296,0.0136697395,0.6603495,0.27615806],"study_design_scores_gemma":[0.00020706914,0.000016409374,0.011854759,0.000038429454,0.000019285888,8.6542434e-7,0.0020873533,0.000026906711,0.0012573479,0.0017932088,0.9825697,0.00012869741],"about_ca_topic_score_codex":0.00025781852,"about_ca_topic_score_gemma":0.000019341089,"teacher_disagreement_score":0.42772236,"about_ca_system_score_codex":0.00022825063,"about_ca_system_score_gemma":0.000018390123,"threshold_uncertainty_score":0.99858004},"labels":[],"label_agreement":null},{"id":"W6894175180","doi":"10.5281/zenodo.7755704","title":"What about cycling conditions in the 15-min city? A comprehensive assessment of bikeability in the urban area of Strasbourg, France.","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cycling; Context (archaeology); Urban area; Quality (philosophy); Urban planning; Sustainable development","score_opus":0.07388568837916892,"score_gpt":0.34885450725262596,"score_spread":0.27496881887345703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6894175180","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9846345,0.0000678246,0.000082738654,0.0015062145,0.00007033142,0.0006123497,0.00013086824,0.00007893351,0.012816194],"genre_scores_gemma":[0.9992987,0.0001309027,0.000016259182,0.00007734004,0.0000386797,2.1460733e-7,0.00029773085,0.000076739496,0.000063437255],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9975372,0.0010049558,0.00037273715,0.00024091113,0.00057720504,0.00026699327],"domain_scores_gemma":[0.9988917,0.0002610436,0.00013861626,0.00036138023,0.00030385578,0.000043418713],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0026531704,0.00008225866,0.00016518196,0.00017041311,0.00093029725,0.00029305049,0.0010933974,0.00005174031,0.0021815738],"category_scores_gemma":[0.00035310021,0.00006270539,0.00006287244,0.001677776,0.0005472792,0.00041656848,0.00013309356,0.00028478215,0.000053902542],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016809627,0.0037493783,0.4065105,0.0008673252,0.00014982767,0.00009370868,0.44709262,0.0017189143,0.007306924,0.049106788,0.047362998,0.035872895],"study_design_scores_gemma":[0.00032908967,0.00006265376,0.90519327,0.00008448123,0.000008972524,6.6615087e-7,0.03545043,0.00020999703,0.000047034988,0.0014743977,0.057054408,0.00008461941],"about_ca_topic_score_codex":0.0004856169,"about_ca_topic_score_gemma":0.00013587225,"teacher_disagreement_score":0.49868274,"about_ca_system_score_codex":0.0000615612,"about_ca_system_score_gemma":0.000018572751,"threshold_uncertainty_score":0.99873054},"labels":[],"label_agreement":null},{"id":"W6901635548","doi":"10.60692/35d7f-kkm61","title":"NEWS for Africa: adaptation and reliability of a built environment questionnaire for physical activity in seven African countries","year":2016,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Children's Hospital of Eastern Ontario","funders":"","keywords":"Built environment; Walkability; Level design; Socioeconomic status; Psychological intervention; Scale (ratio); Adaptation (eye); Reliability (semiconductor); Physical activity","score_opus":0.038681711436804544,"score_gpt":0.24990543457798367,"score_spread":0.21122372314117913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6901635548","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9167613,0.0000017521612,0.081506595,0.00034790882,0.00005280543,0.0008973024,0.00020482783,0.000031006843,0.00019650313],"genre_scores_gemma":[0.9993822,3.4044282e-7,0.0002675509,0.0000034017582,0.000042418582,0.00023069132,0.0000024639473,0.000003052725,0.00006785819],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99919677,0.00006113994,0.00027560507,0.00012666207,0.00018713145,0.00015268875],"domain_scores_gemma":[0.9994497,0.000053443644,0.00022802645,0.00012902348,0.00009338646,0.000046465797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000587797,0.00008123787,0.00018152558,0.000057980273,0.00012330244,0.000030754232,0.00007450404,0.00006500913,0.000001991598],"category_scores_gemma":[0.00006811638,0.000056581834,0.00005132672,0.00007080631,0.00013752669,0.0009625247,0.000009670648,0.000021130223,0.0000031292032],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042489445,0.000015665077,0.6658802,0.00052634923,0.0000075557214,5.142342e-8,0.32806045,0.00003382238,0.000004907851,0.00091431366,0.000015249156,0.004116527],"study_design_scores_gemma":[0.001842854,0.00014974507,0.954813,0.00023927724,0.000039724066,1.225849e-7,0.03767502,0.0017294185,0.00050731626,0.00034788772,0.0024215705,0.0002340908],"about_ca_topic_score_codex":0.00030677175,"about_ca_topic_score_gemma":0.00007075392,"teacher_disagreement_score":0.29038543,"about_ca_system_score_codex":0.00017885401,"about_ca_system_score_gemma":0.000063761894,"threshold_uncertainty_score":0.23073402},"labels":[],"label_agreement":null},{"id":"W6901780905","doi":"10.60692/d550h-1ht78","title":"Spatial access to residential care resources in Beijing, China","year":2012,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Equity (law); Residential area; Catchment area; Population; China; Geographic information system; Spatial analysis","score_opus":0.032796619799378104,"score_gpt":0.27491901946420033,"score_spread":0.24212239966482224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6901780905","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97185045,0.000008241491,0.0013752404,0.000093016984,0.0007471231,0.00048303237,0.0000339266,0.0001358203,0.025273154],"genre_scores_gemma":[0.999204,5.525613e-8,0.00003821693,0.000078085024,0.00051487924,0.000042802472,0.000012113857,0.000005752911,0.0001041259],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99838954,0.00011641047,0.00048874924,0.00011953106,0.00047167912,0.00041408726],"domain_scores_gemma":[0.99933237,0.000004771635,0.00016344026,0.00021437633,0.000091583184,0.00019347017],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006668963,0.00011883548,0.00017341264,0.00026347736,0.00032766996,0.0004386549,0.00039778143,0.000114773655,0.00010297426],"category_scores_gemma":[0.000032826487,0.00010623348,0.00005688387,0.0003843332,0.00004344747,0.0027757701,0.00006229474,0.0000949505,0.0002754909],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019604879,9.354267e-7,0.622785,0.00006024092,0.0000021783974,3.6368073e-7,0.3767502,0.000008769955,7.356619e-8,0.000029872504,0.000040951014,0.00030186566],"study_design_scores_gemma":[0.00025148698,0.0000071240356,0.9401863,0.00007337696,0.00000798207,2.1248043e-7,0.056589242,0.000009033024,0.000046263733,5.0678506e-7,0.0026912633,0.00013718642],"about_ca_topic_score_codex":0.0038893004,"about_ca_topic_score_gemma":0.000764241,"teacher_disagreement_score":0.32016096,"about_ca_system_score_codex":0.00021870529,"about_ca_system_score_gemma":0.000053098785,"threshold_uncertainty_score":0.58794844},"labels":[],"label_agreement":null},{"id":"W6901934295","doi":"10.6084/m9.figshare.13269914","title":"Additional file 1 of Workplace neighbourhood built environment and workers’ physically-active and sedentary behaviour: a systematic review of observational studies","year":2020,"lang":"en","type":"article","venue":"Figshare","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Built environment; Observational study; Neighbourhood (mathematics); Syntax; Work (physics)","score_opus":0.09704284047261715,"score_gpt":0.31091924707742713,"score_spread":0.21387640660481,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6901934295","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001325405,0.004906631,1.3595152e-7,0.0004671915,0.0000037363689,0.00044502917,0.9925868,0.000008838176,0.00025624782],"genre_scores_gemma":[0.15662274,0.0006317522,0.00055617024,0.0011917191,0.00017308546,0.0014855255,0.8389948,0.000016559346,0.000327618],"study_design_codex":"not_applicable","study_design_gemma":"systematic_review","domain_scores_codex":[0.99916565,0.00006469086,0.00024191974,0.00016049431,0.0002859113,0.00008132149],"domain_scores_gemma":[0.9986247,0.0009320935,0.00023543628,0.00006726178,0.000072115625,0.00006839626],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000036348447,0.00007900332,0.00032289082,0.00000818942,0.00008014744,0.000007936851,0.000098919794,0.000029546612,0.8138859],"category_scores_gemma":[0.0013393154,0.00006912841,0.000056810197,0.000098403696,0.00006495425,0.00015990892,0.000049469367,0.00006105231,0.000020295367],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007002024,0.00004496863,0.0018578368,0.057510447,0.000066086526,0.000001610836,0.001472697,2.3238931e-7,9.309884e-7,0.000004193025,0.93896985,0.00006415624],"study_design_scores_gemma":[0.00028003068,0.00010785836,0.45175764,0.52426815,0.00029804625,4.514083e-7,0.0056302324,0.000018246072,0.000031649823,0.00014253742,0.01713182,0.00033334756],"about_ca_topic_score_codex":0.000015614021,"about_ca_topic_score_gemma":0.00002892989,"teacher_disagreement_score":0.92183805,"about_ca_system_score_codex":0.000023327082,"about_ca_system_score_gemma":0.00007095607,"threshold_uncertainty_score":0.2818975},"labels":[],"label_agreement":null},{"id":"W6901959883","doi":"10.6084/m9.figshare.12299813.v1","title":"Additional file 3 of Association between time-weighted activity space-based exposures to fast food outlets and fast food consumption among young adults in urban Canada","year":2020,"lang":"en","type":"article","venue":"Figshare","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo; University of Toronto","funders":"","keywords":"Young adult; Sensitivity (control systems); Food consumption; Consumption (sociology); Association (psychology)","score_opus":0.02244231142533711,"score_gpt":0.2231960052614838,"score_spread":0.2007536938361467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6901959883","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34997392,0.0000074801305,4.6609495e-7,0.00019688444,0.000008940095,0.00022848447,0.64925754,0.000022448317,0.0003038399],"genre_scores_gemma":[0.71736014,9.438715e-8,0.00002493577,0.000048799106,0.00009999567,0.00010829477,0.28229237,0.0000059090175,0.00005947129],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9987594,0.000104056315,0.000188905,0.0002705129,0.00045314993,0.00022398985],"domain_scores_gemma":[0.99862874,0.00074600935,0.00020880178,0.000074024436,0.0001293848,0.00021303847],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000055397926,0.000112250396,0.00019989151,0.000042175263,0.00014100187,0.000039686707,0.00013319518,0.00012029802,0.61442685],"category_scores_gemma":[0.0017270942,0.00012456646,0.00004154032,0.00026072064,0.000018542305,0.00022061326,0.000022457403,0.00013627461,0.00004112015],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017349039,0.000018772758,0.31811973,0.00005753861,0.000014252046,0.000001139084,0.000792717,0.0000014374738,0.0000030846754,3.250261e-7,0.680702,0.0002717181],"study_design_scores_gemma":[0.00026844474,0.000078736215,0.971457,0.00044926332,0.0000072027115,9.660968e-9,0.00011926872,0.00006195978,0.00015295744,0.0000042932083,0.027260216,0.00014064806],"about_ca_topic_score_codex":0.028771032,"about_ca_topic_score_gemma":0.7371617,"teacher_disagreement_score":0.70839065,"about_ca_system_score_codex":0.0002633405,"about_ca_system_score_gemma":0.000537344,"threshold_uncertainty_score":0.9776965},"labels":[],"label_agreement":null},{"id":"W6902011098","doi":"10.6084/m9.figshare.26651040","title":"Additional file 5 of Prioritizing a research agenda on built environments and physical activity: a twin panel Delphi consensus process with researchers and knowledge users","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; Dalhousie University; Research Institute for Aging; University of Waterloo; Parachute; University of Victoria; University of Lethbridge; University of New Brunswick; University of Saskatchewan; Alberta Health Services; University of Toronto; Carleton University; University of Calgary; Ottawa Public Health; Children's Hospital of Eastern Ontario; Statistics Canada; Infrastructure Canada; BC Centre for Disease Control; University of British Columbia; Simon Fraser University; Public Health Agency of Canada; University of Ottawa","funders":"","keywords":"Process (computing); Delphi method; Table (database); Ranking (information retrieval); Delphi; Knowledge base","score_opus":0.2969587237567035,"score_gpt":0.4334009310816628,"score_spread":0.13644220732495926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6902011098","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25770327,0.0000888955,2.6637899e-8,0.00010678761,0.0000038643398,0.0002476937,0.7382137,0.000022576745,0.003613163],"genre_scores_gemma":[0.9591795,0.0000027685103,0.000021034228,0.0000056720723,0.000104187086,0.00030293103,0.039235722,0.00001316466,0.0011350034],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99861497,0.0001498114,0.000070147245,0.0003477542,0.00053382607,0.00028350126],"domain_scores_gemma":[0.9971057,0.0025730839,0.000025407971,0.00009547669,0.000068940586,0.00013136749],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00017318338,0.000088019595,0.00011850827,0.00008465459,0.0002795128,0.000098929806,0.00011538799,0.00006600796,0.3374582],"category_scores_gemma":[0.0011447237,0.000074924916,0.00002610674,0.00034179416,0.00030247107,0.00016102527,0.000048186772,0.00033625762,0.000087074564],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008941443,0.00017943229,0.00018191997,0.00054840755,0.000031987154,0.000064680804,0.010399969,3.8005294e-7,0.000061449595,0.000012380066,0.97904915,0.009380821],"study_design_scores_gemma":[0.00039786322,0.00034200534,0.08095891,0.008316038,0.00001540035,0.0000025120526,0.007809927,0.0005479722,0.0003837621,0.00043133373,0.90044767,0.00034659446],"about_ca_topic_score_codex":0.00008027143,"about_ca_topic_score_gemma":0.0003863183,"teacher_disagreement_score":0.7014763,"about_ca_system_score_codex":0.00006393221,"about_ca_system_score_gemma":0.000515718,"threshold_uncertainty_score":0.66314745},"labels":[],"label_agreement":null},{"id":"W6902109933","doi":"10.6084/m9.figshare.19445894.v1","title":"Additional file 1 of Multi-use physical activity trails in an urban setting and cardiovascular disease: a difference-in-differences analysis of a natural experiment in Winnipeg, Manitoba, Canada","year":2022,"lang":"en","type":"article","venue":"Figshare","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto; Public Health Ontario; University of Manitoba; Children's Hospital Research Institute of Manitoba","funders":"","keywords":"Disease; Risk factor; Population; Risk assessment; Event (particle physics); Graph","score_opus":0.04836369777890593,"score_gpt":0.27299239665780783,"score_spread":0.2246286988789019,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6902109933","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5182377,0.00008694688,1.738295e-8,0.0000045022202,0.0000051032143,0.00010775089,0.48154682,0.000003119241,0.000008032706],"genre_scores_gemma":[0.8729949,3.0354593e-7,0.000012396891,0.000005376599,0.00001738572,0.00043420683,0.12651105,0.0000033573817,0.000021049531],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99848735,0.000277331,0.00017507003,0.00031517062,0.0005424856,0.00020257964],"domain_scores_gemma":[0.999126,0.0005058761,0.0000904172,0.00016006635,0.000037357735,0.00008023676],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000070916896,0.00010378648,0.00036321144,0.00014522203,0.00009841498,0.000019878267,0.00020333767,0.000024769359,0.2818057],"category_scores_gemma":[0.00033938643,0.00010483705,0.0001409692,0.0007555534,0.000037900154,0.00021162434,0.00005147426,0.00017750303,1.7342181e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010670067,0.0014616695,0.93656135,0.00015190992,0.00036505025,0.00011472546,0.012054791,0.00049655477,0.000049364622,0.0000037425227,0.043014158,0.0056199958],"study_design_scores_gemma":[0.0001647276,0.000009824824,0.9918015,0.00014578563,0.000031545147,2.0662386e-8,0.0026108404,0.0042096507,0.000011310143,0.0000033861238,0.0008973786,0.000114055925],"about_ca_topic_score_codex":0.27664575,"about_ca_topic_score_gemma":0.87741596,"teacher_disagreement_score":0.60077024,"about_ca_system_score_codex":0.0001853148,"about_ca_system_score_gemma":0.00046960142,"threshold_uncertainty_score":0.7281711},"labels":[],"label_agreement":null},{"id":"W6902145047","doi":"10.6084/m9.figshare.7405616.v1","title":"Additional file 2: of Who is in the near market for bicycle sharing? Identifying current, potential, and unlikely users of a public bicycle share program in Vancouver, Canada","year":2018,"lang":"en","type":"article","venue":"Figshare","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Population; Public transport; Market share; Market research; Postal service","score_opus":0.05819327816022751,"score_gpt":0.31498927744657806,"score_spread":0.25679599928635055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6902145047","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026874382,0.00008912529,1.9723498e-7,0.00008316071,0.000064201166,0.00056410296,0.971133,0.000012384332,0.0011794476],"genre_scores_gemma":[0.79538023,0.0000025347124,0.00018631092,0.000104786566,0.00014787477,0.0010168129,0.20275813,0.000014726952,0.00038858905],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988056,0.000051690055,0.00025230722,0.00025689925,0.00034322953,0.00029030928],"domain_scores_gemma":[0.9990503,0.00036201673,0.00017383574,0.00015576913,0.00019588892,0.00006219777],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00016686103,0.00009266369,0.00015881407,0.00006701034,0.00019765855,0.00009731164,0.0004342799,0.000061017017,0.79665244],"category_scores_gemma":[0.0011078558,0.00008205908,0.00005785724,0.000538695,0.00009327655,0.00039117254,0.000055499924,0.000104461295,0.0000036557606],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008304739,0.000060870272,0.014958212,0.00018034191,0.0000050942176,0.000001197764,0.0007067203,1.6934476e-7,2.4290134e-7,0.0000015340631,0.980151,0.0039262986],"study_design_scores_gemma":[0.0001866172,0.000023113515,0.36056447,0.0010711206,0.00000361833,6.149683e-8,0.0008315032,0.00046921507,0.0000053033345,0.00017159892,0.6365751,0.00009828813],"about_ca_topic_score_codex":0.047158565,"about_ca_topic_score_gemma":0.8863525,"teacher_disagreement_score":0.8391939,"about_ca_system_score_codex":0.00006152475,"about_ca_system_score_gemma":0.00068231474,"threshold_uncertainty_score":0.9591865},"labels":[],"label_agreement":null},{"id":"W6902170291","doi":"10.6084/m9.figshare.24770690","title":"Additional file 2 of Prioritizing a research agenda on built environments and physical activity: a twin panel Delphi consensus process with researchers and knowledge users","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; Dalhousie University; Research Institute for Aging; University of Waterloo; Parachute; University of Victoria; University of Lethbridge; University of New Brunswick; University of Saskatchewan; Alberta Health Services; University of Toronto; Carleton University; University of Calgary; Ottawa Public Health; Children's Hospital of Eastern Ontario; Statistics Canada; Infrastructure Canada; BC Centre for Disease Control; University of British Columbia; Simon Fraser University; Public Health Agency of Canada; University of Ottawa","funders":"","keywords":"Process (computing); Delphi method; Table (database); Delphi; Built environment","score_opus":0.2937580828971714,"score_gpt":0.4331353505747205,"score_spread":0.1393772676775491,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6902170291","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25540578,0.000089679685,2.5883086e-8,0.0001064711,0.000003887355,0.000247336,0.74043417,0.000022588236,0.0036900572],"genre_scores_gemma":[0.95810413,0.0000028115387,0.000020889496,0.0000056902168,0.0001059548,0.00030404958,0.040290598,0.000013202596,0.0011526459],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986155,0.00014979889,0.00007012485,0.00034757264,0.000533593,0.000283397],"domain_scores_gemma":[0.99712044,0.0025584616,0.000025435778,0.00009540816,0.00006892123,0.00013134217],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00017212579,0.00008799013,0.00011847728,0.000084593434,0.0002794076,0.000098930395,0.000115356204,0.00006600522,0.3425464],"category_scores_gemma":[0.0011428493,0.00007490459,0.000026098065,0.00034159597,0.00030239156,0.00016098835,0.000048193862,0.00033622136,0.00008757924],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008763611,0.00017683441,0.00017383827,0.0005404947,0.00003156225,0.00006448012,0.010256783,3.769606e-7,0.000058870817,0.000012054134,0.9792405,0.0093565695],"study_design_scores_gemma":[0.0003798413,0.00032666998,0.075191826,0.007855703,0.0000147024475,0.0000024065687,0.007408847,0.00052203535,0.00036205762,0.0004128301,0.90719223,0.00033085363],"about_ca_topic_score_codex":0.000080155995,"about_ca_topic_score_gemma":0.0003830849,"teacher_disagreement_score":0.70269835,"about_ca_system_score_codex":0.00006393024,"about_ca_system_score_gemma":0.00051454466,"threshold_uncertainty_score":0.6580546},"labels":[],"label_agreement":null},{"id":"W6902184006","doi":"10.6084/m9.figshare.29288400","title":"Additional file 1 of Cycling infrastructure as a determinant of cycling for recreation and transportation in Montréal, Canada: a natural experiment using the longitudinal national population health survey","year":2025,"lang":"en","type":"article","venue":"Figshare","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Health Canada; Queen's University; Université de Sherbrooke; McGill University; Public Health Agency of Canada; University of Ottawa","funders":"","keywords":"Cycling; Recreation; Population; Natural (archaeology); Population health","score_opus":0.041874900242153915,"score_gpt":0.3433080523487673,"score_spread":0.3014331521066134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6902184006","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21816619,0.00019979189,0.000005080175,0.00005020903,0.000025115241,0.00031798476,0.78121316,0.000003678499,0.000018808858],"genre_scores_gemma":[0.6517225,0.0000011003818,0.00026569693,0.000022946251,0.000017309285,0.00006981628,0.34788617,0.0000019509243,0.000012506474],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99916404,0.000061135856,0.0003009005,0.00013162778,0.00024016558,0.00010210307],"domain_scores_gemma":[0.99867755,0.0008291508,0.00023319219,0.00004018278,0.00019911857,0.00002083079],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00014849534,0.000059973732,0.00012759374,0.000051253704,0.00020120252,0.00001216271,0.000063540436,0.000043820102,0.05071838],"category_scores_gemma":[0.0010238932,0.000052157964,0.000029637653,0.00020604054,0.000015803618,0.00013615328,0.0000035213716,0.0000607631,6.423366e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024825396,0.000086536165,0.1461496,0.00055464933,0.00004677212,0.0000014371558,0.004346176,0.0021055876,0.000062747094,0.00014441043,0.8400233,0.006230537],"study_design_scores_gemma":[0.00011785342,0.000007806611,0.994969,0.0009058719,0.0000028615152,6.5556385e-8,0.00037470798,0.0014649547,0.00004426712,0.00019163129,0.0018744651,0.00004650658],"about_ca_topic_score_codex":0.4252663,"about_ca_topic_score_gemma":0.91714454,"teacher_disagreement_score":0.8488194,"about_ca_system_score_codex":0.00021309471,"about_ca_system_score_gemma":0.0011166068,"threshold_uncertainty_score":0.9501494},"labels":[],"label_agreement":null},{"id":"W6902203594","doi":"10.6084/m9.figshare.14818094","title":"Riders Who Avoided Public Transit During COVID-19","year":2021,"lang":"en","type":"article","venue":"Figshare","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Public transport; Destinations; Disadvantage; Transit (satellite); Carpool; Travel behavior; Disadvantaged; Transit system","score_opus":0.09789335681285136,"score_gpt":0.33225665096333434,"score_spread":0.234363294150483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6902203594","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.537627,0.002451923,0.00003729294,0.047773093,0.0005254327,0.0011467418,0.21088573,0.0015883675,0.19796444],"genre_scores_gemma":[0.9810533,0.000008888963,0.000017338776,0.0010349929,0.00021309816,0.000041227486,0.014025512,0.000011291128,0.0035943661],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99871004,0.00010985551,0.00016617034,0.00032074246,0.00032560906,0.0003675759],"domain_scores_gemma":[0.9991081,0.00010582446,0.00004898878,0.00021761755,0.00012996515,0.00038953303],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00011908315,0.000096338365,0.00014196259,0.00003780647,0.00079871184,0.00021283289,0.0002839752,0.00010952174,0.39036655],"category_scores_gemma":[0.00195022,0.00010332842,0.00012388019,0.00045848422,0.000031814427,0.0004667242,0.000023927489,0.00015524017,0.00047421773],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004995136,0.00036504865,0.13610636,0.0019242036,0.00014049523,0.0012623041,0.049840037,0.00005550167,0.0006290756,0.0010452806,0.8045523,0.0040294253],"study_design_scores_gemma":[0.0004793791,0.0000045613806,0.1051682,0.00017752555,0.0000104726905,0.0000012257069,0.0025191898,0.000007274808,0.0010936725,0.0005651827,0.8896802,0.0002931197],"about_ca_topic_score_codex":0.00029965528,"about_ca_topic_score_gemma":0.010049283,"teacher_disagreement_score":0.4434263,"about_ca_system_score_codex":0.00012821027,"about_ca_system_score_gemma":0.0009547186,"threshold_uncertainty_score":0.61431265},"labels":[],"label_agreement":null},{"id":"W6902217830","doi":"10.6084/m9.figshare.26559248.v1","title":"Additional file 1 of Neighborhood infrastructure-related risk factors and non-communicable diseases: a systematic meta-review","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; McGill University","funders":"","keywords":"Table (database); Population; Checklist; Quality (philosophy); Data quality","score_opus":0.027858833139684618,"score_gpt":0.282003215769056,"score_spread":0.2541443826293714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6902217830","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000063762796,0.026022144,1.5255499e-7,0.000021248166,0.00002135867,0.00045739912,0.96974456,0.0000698737,0.0035995017],"genre_scores_gemma":[0.19976535,0.00012679103,0.000022291519,0.00002988866,0.000025554209,0.00061561924,0.7990105,0.000011094109,0.00039291594],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988868,0.00015736654,0.0003316741,0.00019398595,0.00027755776,0.00015256273],"domain_scores_gemma":[0.9974485,0.0019525341,0.00016599052,0.00024137634,0.000079606616,0.000112005],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007544472,0.00013643372,0.00049917895,0.00004027637,0.00018721001,0.00007344312,0.000286716,0.00007709109,0.99207664],"category_scores_gemma":[0.002775993,0.00009115273,0.00026931416,0.00037635525,0.00004411653,0.00031615488,0.00004666535,0.00017136871,0.00024404508],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[4.1419523e-7,0.000013933901,0.00021452333,0.01842544,0.00028293606,0.0000020213674,0.00032025212,5.389772e-7,3.927338e-8,0.000010269598,0.980693,0.00003664469],"study_design_scores_gemma":[0.0001559571,0.00004833927,0.07548956,0.29695785,0.004404487,0.0000010069001,0.0008008089,0.00046172354,0.000003247535,0.002769278,0.61827964,0.0006280788],"about_ca_topic_score_codex":0.00009954239,"about_ca_topic_score_gemma":0.00009273116,"teacher_disagreement_score":0.9918326,"about_ca_system_score_codex":0.000027174226,"about_ca_system_score_gemma":0.00021605016,"threshold_uncertainty_score":0.37171006},"labels":[],"label_agreement":null},{"id":"W6902226624","doi":"10.6084/m9.figshare.29288445","title":"Additional file 16 of Cycling infrastructure as a determinant of cycling for recreation and transportation in Montréal, Canada: a natural experiment using the longitudinal national population health survey","year":2025,"lang":"en","type":"article","venue":"Figshare","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Health Canada; Queen's University; Université de Sherbrooke; McGill University; Public Health Agency of Canada; University of Ottawa","funders":"","keywords":"Cycling; Recreation; Population; Natural (archaeology); Population health","score_opus":0.0417515628074224,"score_gpt":0.3443802093518091,"score_spread":0.3026286465443867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6902226624","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30127376,0.0003077945,0.000010528963,0.0000677307,0.000034475168,0.00039459445,0.69787985,0.000004546621,0.000026699567],"genre_scores_gemma":[0.6953334,0.0000014894662,0.0002067624,0.000025969157,0.000019213268,0.000060378537,0.30433747,0.0000021241958,0.000013153538],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9991274,0.000064078915,0.00031830295,0.00013627957,0.00024834342,0.00010559181],"domain_scores_gemma":[0.99882483,0.000667444,0.000241446,0.000041579904,0.00020300713,0.000021699525],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00017202698,0.000062269784,0.00013176445,0.000052923166,0.00020776234,0.000012734885,0.00006519023,0.00004553312,0.031919282],"category_scores_gemma":[0.00084985734,0.00005392772,0.00003165844,0.00020717668,0.000016332659,0.00014265743,0.000003641194,0.00006234543,5.689786e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035940536,0.000119360135,0.23070219,0.00077440974,0.000064149455,0.0000016936634,0.0054373904,0.0026106173,0.00007571961,0.0002677631,0.75039345,0.00919383],"study_design_scores_gemma":[0.00014069193,0.000008545824,0.99538493,0.0008698059,0.0000033063022,7.135975e-8,0.00042686073,0.0011261882,0.00005433815,0.00026902018,0.0016665581,0.00004968839],"about_ca_topic_score_codex":0.49485078,"about_ca_topic_score_gemma":0.95048594,"teacher_disagreement_score":0.7646827,"about_ca_system_score_codex":0.0002889852,"about_ca_system_score_gemma":0.0010875043,"threshold_uncertainty_score":0.96896565},"labels":[],"label_agreement":null},{"id":"W6902242159","doi":"10.6084/m9.figshare.29064731.v1","title":"Multimodal Accessibility and the Capitalization of Realized Access by Car and Transit in Housing Prices Across Canada","year":2025,"lang":"en","type":"article","venue":"Figshare","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Capitalization; Transit (satellite); Metropolitan area; Public transport; Multicollinearity; Mode (computer interface); Land Values; Property value; Econometric model","score_opus":0.020798244795250852,"score_gpt":0.3260284887380893,"score_spread":0.3052302439428385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6902242159","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97852236,0.0011732519,0.0000064840383,0.00038008986,0.000032024025,0.00042139724,0.018704591,0.000014727279,0.0007450446],"genre_scores_gemma":[0.998158,0.000022289125,0.000005980521,0.00009230925,0.000011404166,0.000030196225,0.0016425642,0.000003384988,0.000033919096],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990721,0.00010618685,0.00023438406,0.00022948539,0.00017992005,0.00017796506],"domain_scores_gemma":[0.99943876,0.00021697876,0.00009633093,0.00012285658,0.00008473099,0.000040333536],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00027552643,0.0000825737,0.00019176248,0.000014126288,0.00027825357,0.00013269452,0.0002653136,0.0000730216,0.0009162319],"category_scores_gemma":[0.00036541477,0.0000626849,0.000021476537,0.00033111937,0.00012252171,0.0004064337,0.000048521426,0.000081769154,8.957989e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017127408,0.00005558845,0.96781385,0.000752245,0.000025104999,0.0000034774066,0.01750118,0.000023256638,0.00004155735,0.00008631922,0.0056614242,0.007864724],"study_design_scores_gemma":[0.0012403217,0.0000027549615,0.992485,0.00034245534,0.0000122056545,2.7997144e-8,0.0016639008,0.00032072797,0.00045125323,0.00027206092,0.0030973281,0.000111983085],"about_ca_topic_score_codex":0.75920093,"about_ca_topic_score_gemma":0.965488,"teacher_disagreement_score":0.20628712,"about_ca_system_score_codex":0.00006314661,"about_ca_system_score_gemma":0.000315275,"threshold_uncertainty_score":0.9999971},"labels":[],"label_agreement":null},{"id":"W6902254311","doi":"10.6084/m9.figshare.20146937","title":"Can We Retrofit Suburban Arterials?","year":2022,"lang":"en","type":"article","venue":"Figshare","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Walkability; Retrofitting; Urban planning; Adaptability; Urbanism; Plan (archaeology); Urban regeneration; Urban design","score_opus":0.056510929515319504,"score_gpt":0.2946703098316337,"score_spread":0.23815938031631423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6902254311","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23326445,0.0009095512,2.8695425e-7,0.009199611,0.0010061766,0.0008336549,0.6407281,0.0005770601,0.1134811],"genre_scores_gemma":[0.97023344,0.0000011854423,0.0000057528014,0.00026651038,0.00032456563,0.00015260835,0.02413739,0.000009020367,0.0048695025],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989358,0.00011028309,0.00012870482,0.0002079578,0.0003587588,0.00025850395],"domain_scores_gemma":[0.9995815,0.000043191485,0.00006283371,0.00018015844,0.00003644931,0.00009585725],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00013783992,0.00006949512,0.00010301896,0.00003028125,0.0008388985,0.000065278684,0.00039020492,0.000036787787,0.74941784],"category_scores_gemma":[0.00015892246,0.00007465332,0.000068781876,0.00026963977,0.000015470414,0.00011672401,0.00006204951,0.0001435503,0.00030705275],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015459542,0.000061601306,0.02340887,0.000041735257,0.000010680884,0.000039276718,0.0076771537,0.0000031067589,0.000067069835,0.0003182834,0.9653203,0.0030364736],"study_design_scores_gemma":[0.000104882114,0.000020065272,0.025402216,0.000034122637,0.0000040564178,1.7445991e-7,0.0010778655,0.000002628231,0.00008733665,0.0011169214,0.9720137,0.00013603256],"about_ca_topic_score_codex":0.00057750486,"about_ca_topic_score_gemma":0.0022547466,"teacher_disagreement_score":0.7491108,"about_ca_system_score_codex":0.00011156378,"about_ca_system_score_gemma":0.0001896201,"threshold_uncertainty_score":0.64522135},"labels":[],"label_agreement":null},{"id":"W6902259030","doi":"10.6084/m9.figshare.26651040.v1","title":"Additional file 5 of Prioritizing a research agenda on built environments and physical activity: a twin panel Delphi consensus process with researchers and knowledge users","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; Dalhousie University; Research Institute for Aging; University of Waterloo; Parachute; University of Victoria; University of Lethbridge; University of New Brunswick; University of Saskatchewan; Alberta Health Services; University of Toronto; Carleton University; University of Calgary; Ottawa Public Health; Children's Hospital of Eastern Ontario; Statistics Canada; Infrastructure Canada; BC Centre for Disease Control; University of British Columbia; Simon Fraser University; Public Health Agency of Canada; University of Ottawa","funders":"","keywords":"Process (computing); Delphi method; Table (database); Ranking (information retrieval); Delphi; Knowledge base","score_opus":0.2969587237567035,"score_gpt":0.4334009310816628,"score_spread":0.13644220732495926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6902259030","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25770327,0.0000888955,2.6637899e-8,0.00010678761,0.0000038643398,0.0002476937,0.7382137,0.000022576745,0.003613163],"genre_scores_gemma":[0.9591795,0.0000027685103,0.000021034228,0.0000056720723,0.000104187086,0.00030293103,0.039235722,0.00001316466,0.0011350034],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99861497,0.0001498114,0.000070147245,0.0003477542,0.00053382607,0.00028350126],"domain_scores_gemma":[0.9971057,0.0025730839,0.000025407971,0.00009547669,0.000068940586,0.00013136749],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00017318338,0.000088019595,0.00011850827,0.00008465459,0.0002795128,0.000098929806,0.00011538799,0.00006600796,0.3374582],"category_scores_gemma":[0.0011447237,0.000074924916,0.00002610674,0.00034179416,0.00030247107,0.00016102527,0.000048186772,0.00033625762,0.000087074564],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008941443,0.00017943229,0.00018191997,0.00054840755,0.000031987154,0.000064680804,0.010399969,3.8005294e-7,0.000061449595,0.000012380066,0.97904915,0.009380821],"study_design_scores_gemma":[0.00039786322,0.00034200534,0.08095891,0.008316038,0.00001540035,0.0000025120526,0.007809927,0.0005479722,0.0003837621,0.00043133373,0.90044767,0.00034659446],"about_ca_topic_score_codex":0.00008027143,"about_ca_topic_score_gemma":0.0003863183,"teacher_disagreement_score":0.7014763,"about_ca_system_score_codex":0.00006393221,"about_ca_system_score_gemma":0.000515718,"threshold_uncertainty_score":0.66314745},"labels":[],"label_agreement":null},{"id":"W6902271801","doi":"10.6084/m9.figshare.29288442.v1","title":"Additional file 15 of Cycling infrastructure as a determinant of cycling for recreation and transportation in Montréal, Canada: a natural experiment using the longitudinal national population health survey","year":2025,"lang":"en","type":"article","venue":"Figshare","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Health Canada; Queen's University; Université de Sherbrooke; McGill University; Public Health Agency of Canada; University of Ottawa","funders":"","keywords":"Cycling; Recreation; Population; Natural (archaeology); Population health","score_opus":0.042217540382819295,"score_gpt":0.3449240901768275,"score_spread":0.30270654979400824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6902271801","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3541635,0.00029614082,0.000007630224,0.000062429484,0.000032096465,0.0003689784,0.64504504,0.0000042543033,0.000019956673],"genre_scores_gemma":[0.7279442,0.0000014488503,0.00026627045,0.000026882999,0.000020821837,0.00006205771,0.27166402,0.0000022180513,0.000012117742],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99912876,0.00006417999,0.00031277782,0.00013664085,0.0002519868,0.00010567071],"domain_scores_gemma":[0.99883026,0.0006627235,0.00023675206,0.00004171505,0.00020661003,0.000021957647],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00017021122,0.00006239064,0.00013256351,0.000053098956,0.00020560146,0.000012875875,0.00006581366,0.000047534555,0.024244156],"category_scores_gemma":[0.00085101847,0.00005430268,0.000030584495,0.0002106278,0.000016306143,0.00014368987,0.0000036746212,0.00006580613,6.1375665e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040462913,0.00013783172,0.31046543,0.00088086084,0.00007344467,0.000002345123,0.0073538413,0.0039671403,0.00012445964,0.00026348277,0.66723746,0.009089069],"study_design_scores_gemma":[0.00013534802,0.000008380979,0.9955951,0.00082228635,0.0000032361675,7.020363e-8,0.00040167026,0.0015731561,0.000058049012,0.00021867672,0.0011356714,0.00004835498],"about_ca_topic_score_codex":0.44438002,"about_ca_topic_score_gemma":0.9272918,"teacher_disagreement_score":0.68512964,"about_ca_system_score_codex":0.00021691575,"about_ca_system_score_gemma":0.0010932134,"threshold_uncertainty_score":0.9766478},"labels":[],"label_agreement":null},{"id":"W6902289698","doi":"10.6084/m9.figshare.21273849","title":"Additional file 1 of Changes in physical activity after joining a bikeshare program: a cohort of new bikeshare users","year":2022,"lang":"en","type":"article","venue":"Figshare","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Physical activity; Table (database); Cohort; Regression; Regression analysis; Sample (material)","score_opus":0.05359765313057275,"score_gpt":0.31269107256529266,"score_spread":0.2590934194347199,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6902289698","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.057600085,0.00001884561,1.1771982e-8,0.00007642804,0.0000141612,0.00045658989,0.94009626,0.000047813104,0.0016897898],"genre_scores_gemma":[0.48578924,1.6954432e-7,0.000056161964,0.000025317655,0.00010969939,0.003047384,0.5103963,0.000009876448,0.00056585786],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99868214,0.00008533718,0.00013905224,0.000277753,0.000556454,0.00025923585],"domain_scores_gemma":[0.99907666,0.0004009194,0.00018630036,0.00015870918,0.00008472306,0.00009265562],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00005454766,0.000112095295,0.0002466669,0.00009609472,0.00013213958,0.000019219546,0.0002917748,0.0000546616,0.9923885],"category_scores_gemma":[0.0006683442,0.00011857448,0.00012516826,0.0006890588,0.00003491484,0.00021699256,0.00010916099,0.00022036242,0.00005003871],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039755116,0.00031448828,0.009533347,0.000093059236,0.000012050277,0.000009587803,0.0021157896,0.0000022476863,0.0000042230163,7.814919e-7,0.9819278,0.005946855],"study_design_scores_gemma":[0.00013389798,0.00007804222,0.44899622,0.00069581484,0.0000064260744,1.455609e-7,0.0006828125,0.00004784728,0.000055950124,0.000028174562,0.5491333,0.00014138213],"about_ca_topic_score_codex":0.00037370526,"about_ca_topic_score_gemma":0.0037699481,"teacher_disagreement_score":0.9923384,"about_ca_system_score_codex":0.00008518881,"about_ca_system_score_gemma":0.00046873555,"threshold_uncertainty_score":0.4835327},"labels":[],"label_agreement":null},{"id":"W6902305726","doi":"10.6084/m9.figshare.29288439.v1","title":"Additional file 14 of Cycling infrastructure as a determinant of cycling for recreation and transportation in Montréal, Canada: a natural experiment using the longitudinal national population health survey","year":2025,"lang":"en","type":"article","venue":"Figshare","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Health Canada; Queen's University; Université de Sherbrooke; McGill University; Public Health Agency of Canada; University of Ottawa","funders":"","keywords":"Cycling; Recreation; Population; Natural (archaeology); Population health","score_opus":0.04169696671424559,"score_gpt":0.3442668459897235,"score_spread":0.3025698792754779,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6902305726","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34005463,0.00027742574,0.0000082607385,0.00006631767,0.000035203964,0.00037836714,0.6591543,0.000004385138,0.000021112324],"genre_scores_gemma":[0.7293393,0.0000015177014,0.0002666417,0.000026353278,0.000019905288,0.00006317871,0.27026746,0.0000022331942,0.000013402213],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9991244,0.000064566055,0.00031329668,0.00013691018,0.00025487493,0.00010593219],"domain_scores_gemma":[0.9988051,0.00067404314,0.00023692273,0.00004175939,0.00022037036,0.00002178457],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00017428,0.000062453,0.00013273266,0.000052985917,0.00020897493,0.000012888159,0.00006569246,0.000046558638,0.021970825],"category_scores_gemma":[0.00091288664,0.00005436554,0.000030802254,0.00020903957,0.00001634806,0.00014252686,0.0000036532795,0.0000643973,5.815753e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042171057,0.00014142759,0.30310932,0.00092160277,0.00007571398,0.0000023747468,0.00746404,0.0040897164,0.0001222512,0.00028501396,0.67392546,0.009441351],"study_design_scores_gemma":[0.00013941368,0.000008355926,0.9956061,0.0008309857,0.000003247395,6.962813e-8,0.00035189677,0.0015084125,0.00005814788,0.00021938069,0.0012253721,0.000048606023],"about_ca_topic_score_codex":0.42422694,"about_ca_topic_score_gemma":0.9219983,"teacher_disagreement_score":0.6924968,"about_ca_system_score_codex":0.0002189126,"about_ca_system_score_gemma":0.0010679633,"threshold_uncertainty_score":0.9789232},"labels":[],"label_agreement":null},{"id":"W6902310709","doi":"10.6084/m9.figshare.29288424.v1","title":"Additional file 9 of Cycling infrastructure as a determinant of cycling for recreation and transportation in Montréal, Canada: a natural experiment using the longitudinal national population health survey","year":2025,"lang":"en","type":"article","venue":"Figshare","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Health Canada; Queen's University; Université de Sherbrooke; McGill University; Public Health Agency of Canada; University of Ottawa","funders":"","keywords":"Cycling; Recreation; Population; Natural (archaeology); Population health","score_opus":0.04121020384626937,"score_gpt":0.34299937875676384,"score_spread":0.30178917491049445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6902310709","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2200869,0.00020220397,0.0000051546854,0.00005044382,0.000025236764,0.0003194421,0.779288,0.0000036947197,0.000018946663],"genre_scores_gemma":[0.6543204,0.0000011168779,0.00026376473,0.00002302699,0.000017374676,0.00006847944,0.3452914,0.0000019547178,0.000012485375],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99916387,0.00006112216,0.00030109604,0.0001315891,0.00024019205,0.00010210784],"domain_scores_gemma":[0.9986836,0.00082343665,0.0002332277,0.0000401335,0.00019882634,0.000020830112],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00014857925,0.000059971335,0.00012763246,0.000051258437,0.00020128491,0.000012186738,0.00006348658,0.00004381437,0.048872206],"category_scores_gemma":[0.001014998,0.00005215295,0.0000296392,0.00020600199,0.00001580752,0.00013626883,0.0000035192154,0.000060741735,6.35519e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025647425,0.00008935859,0.15100244,0.00057729485,0.000048262333,0.0000015034308,0.0044941492,0.002175006,0.00006445391,0.00015041512,0.83468133,0.0064593093],"study_design_scores_gemma":[0.00011864923,0.000007815964,0.9949997,0.0009063191,0.00000285668,6.557642e-8,0.00037403978,0.0014708069,0.000044575707,0.00019364667,0.0018350477,0.000046493187],"about_ca_topic_score_codex":0.42342597,"about_ca_topic_score_gemma":0.91792977,"teacher_disagreement_score":0.84399724,"about_ca_system_score_codex":0.00021313719,"about_ca_system_score_gemma":0.0011145103,"threshold_uncertainty_score":0.9519973},"labels":[],"label_agreement":null},{"id":"W6902429982","doi":"10.6084/m9.figshare.27012255","title":"Additional file 1 of The association between neighbourhood walkability and blood lipids: a Canadian population study","year":2024,"lang":"en","type":"article","venue":"Open MIND","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Ottawa; Health Canada","funders":"","keywords":"Walkability; Neighbourhood (mathematics); Association (psychology); Population; Population based study; Population study","score_opus":0.025033977179258076,"score_gpt":0.29823706605418193,"score_spread":0.27320308887492384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6902429982","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82971704,0.000007924723,5.5674427e-8,0.0003403403,0.00006755137,0.00046598347,0.14621136,0.0000019724193,0.023187775],"genre_scores_gemma":[0.99376875,2.3308927e-7,0.00007785128,0.000006613016,0.00015490058,0.000034329474,0.0030630617,0.0000030901108,0.0028911908],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99916404,0.000102485945,0.00016578421,0.00019725093,0.00023968807,0.00013071742],"domain_scores_gemma":[0.999147,0.00056377717,0.000065158434,0.00009245523,0.000053937307,0.00007767257],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005516651,0.00005060191,0.00009952422,0.000028228946,0.0003093288,0.00021379549,0.00022079785,0.000064561405,0.54035914],"category_scores_gemma":[0.0003554713,0.00003967822,0.00003572682,0.00026682913,0.000045960245,0.0003222327,0.000030496914,0.000092752234,0.00002467753],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000010707505,0.000052975494,0.95059913,0.0000033897422,0.000048330094,4.1232306e-7,0.0026554617,7.89786e-8,5.470818e-7,0.000015340696,0.030235957,0.01638728],"study_design_scores_gemma":[0.00005514439,0.000014293719,0.91124237,0.0000309136,0.00006541426,1.9986917e-8,0.0007065001,0.0000022196793,0.0000032407631,0.0004151562,0.08741874,0.00004597399],"about_ca_topic_score_codex":0.25772518,"about_ca_topic_score_gemma":0.80684054,"teacher_disagreement_score":0.54911536,"about_ca_system_score_codex":0.00014603553,"about_ca_system_score_gemma":0.00045068774,"threshold_uncertainty_score":0.7472177},"labels":[],"label_agreement":null},{"id":"W6902454792","doi":"10.6084/m9.figshare.9462053","title":"Additional file 1: of Relationships between area-level socioeconomic status and urbanization with active transportation, independent mobility, outdoor time, and physical activity among Canadian children","year":2019,"lang":"en","type":"article","venue":"Figshare","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Socioeconomic status; Physical activity; Urbanization; Data collection; Physical activity level","score_opus":0.024946062231259118,"score_gpt":0.236050490441493,"score_spread":0.2111044282102339,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6902454792","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4927234,0.0000015756798,1.2285905e-7,0.000012284286,0.0000020291354,0.00022739558,0.50664276,0.000009668252,0.00038075756],"genre_scores_gemma":[0.59413207,1.5244993e-7,0.00001345314,0.0000028345662,0.000026988779,0.000047178943,0.4055701,0.0000055854916,0.00020163838],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99922365,0.0000535583,0.000107421794,0.00026551067,0.00016536535,0.00018447799],"domain_scores_gemma":[0.99888164,0.0005731985,0.00014006617,0.00009076778,0.00011904815,0.00019527537],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004362915,0.00010024389,0.00016426465,0.000052503165,0.00024147934,0.000034615106,0.00007541883,0.00011100187,0.69770044],"category_scores_gemma":[0.00017217675,0.00009960781,0.000029073493,0.000102974904,0.00007906392,0.0005932372,0.0000059529475,0.00017440837,0.00009050349],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011010396,0.00003966426,0.91966605,0.00002116512,0.0000367041,3.062473e-7,0.0025412887,0.000007930454,5.1689824e-7,0.0000065842373,0.07698423,0.00068455207],"study_design_scores_gemma":[0.00015029174,0.000020766638,0.9977747,0.0001181138,0.000015282734,4.3760195e-8,0.00021628615,0.00003099745,0.000011061836,0.00009110256,0.0014508356,0.00012048203],"about_ca_topic_score_codex":0.017762726,"about_ca_topic_score_gemma":0.23980938,"teacher_disagreement_score":0.69760996,"about_ca_system_score_codex":0.00011192483,"about_ca_system_score_gemma":0.0005157237,"threshold_uncertainty_score":0.98877805},"labels":[],"label_agreement":null},{"id":"W6902517881","doi":"10.6084/m9.figshare.29288436.v1","title":"Additional file 13 of Cycling infrastructure as a determinant of cycling for recreation and transportation in Montréal, Canada: a natural experiment using the longitudinal national population health survey","year":2025,"lang":"en","type":"article","venue":"Figshare","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Health Canada; Queen's University; Université de Sherbrooke; McGill University; Public Health Agency of Canada; University of Ottawa","funders":"","keywords":"Cycling; Recreation; Population; Natural (archaeology); Population health; Natural experiment","score_opus":0.041492772803066014,"score_gpt":0.34364412164163743,"score_spread":0.3021513488385714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6902517881","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38957012,0.00025583722,0.0000070599435,0.00006023774,0.000030690517,0.00035293764,0.6096996,0.0000040501122,0.000019428011],"genre_scores_gemma":[0.7308575,0.0000015348182,0.00023287631,0.000026074886,0.00001993466,0.00006408799,0.2687835,0.0000022231807,0.000012282054],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9991307,0.000063716696,0.0003130298,0.00013672531,0.0002499921,0.00010583068],"domain_scores_gemma":[0.99882585,0.0006691927,0.0002364849,0.000041725336,0.00020493138,0.000021799127],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00016781714,0.00006248797,0.00013240025,0.000053019146,0.00020823223,0.000013012549,0.000065884706,0.000045739933,0.022609951],"category_scores_gemma":[0.0008372717,0.000054356748,0.000030745763,0.00020927262,0.000016351582,0.00014466803,0.0000036689346,0.000063271684,5.950968e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041053988,0.00014091152,0.37112957,0.00091566716,0.00007588815,0.0000023727014,0.007780978,0.0047871447,0.00012120167,0.00024610516,0.60495013,0.0094395075],"study_design_scores_gemma":[0.00013477112,0.000008188289,0.9956325,0.0008152488,0.0000031809332,6.844143e-8,0.00039395274,0.0017319267,0.0000530878,0.00021442375,0.00096474035,0.000047880523],"about_ca_topic_score_codex":0.5064092,"about_ca_topic_score_gemma":0.94125426,"teacher_disagreement_score":0.62450296,"about_ca_system_score_codex":0.00021601222,"about_ca_system_score_gemma":0.0010724346,"threshold_uncertainty_score":0.9782835},"labels":[],"label_agreement":null},{"id":"W6903934260","doi":"10.13140/rg.2.2.25390.74565","title":"Can we predict why people travel within a city?: A study analysing the spatial and temporal characteristics of travel intention within Montréal, Canada.","year":2019,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Tourism; Perspective (graphical); Data collection; Field (mathematics); Sample (material)","score_opus":0.015177891165135007,"score_gpt":0.2405798763746565,"score_spread":0.22540198520952148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6903934260","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9960018,0.000032688582,0.0005221271,0.00209509,0.00025783532,0.0006872263,0.00005507797,0.0000157722,0.00033239304],"genre_scores_gemma":[0.99894905,0.0000071733502,0.00004228385,0.00012618453,0.00005685596,0.0000073362917,0.000016742462,0.000007872356,0.00078649283],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99828887,0.0001604328,0.0005001807,0.00028053232,0.00056306104,0.00020690796],"domain_scores_gemma":[0.99919415,0.000061021336,0.0002882855,0.00021884513,0.000133813,0.00010389315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009295533,0.00013686545,0.00034548715,0.00004871709,0.0002916173,0.00007954523,0.00022803505,0.000058399648,0.00013178491],"category_scores_gemma":[0.000052262458,0.00009289864,0.00005334744,0.00031836232,0.00015225465,0.00015282937,0.000023476301,0.00016847685,2.7427473e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000470176,0.00011913141,0.9632053,0.000019962066,0.000051639676,0.000002138743,0.03594978,0.0000015770205,0.0000942085,0.00009343248,0.000081272396,0.0003345906],"study_design_scores_gemma":[0.00037195082,0.000088101355,0.92441195,0.000022472383,0.00010673219,2.3500662e-7,0.0734213,0.0012425453,0.000054918535,0.00012966392,0.000033444932,0.000116713694],"about_ca_topic_score_codex":0.9894085,"about_ca_topic_score_gemma":0.9992312,"teacher_disagreement_score":0.038793325,"about_ca_system_score_codex":0.000081809136,"about_ca_system_score_gemma":0.0006452808,"threshold_uncertainty_score":0.37882966},"labels":[],"label_agreement":null},{"id":"W6904634041","doi":"10.14288/hfjc.v14i3.688","title":"Effects of the COVID-19 pandemic on active transportation among Canadian children: results from two national surveys","year":2021,"lang":"en","type":"article","venue":"Open Collections","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Descriptive statistics; Pandemic; Public health; Survey data collection; Survey research; Distancing; Coronavirus disease 2019 (COVID-19); Physical activity","score_opus":0.034678031299417086,"score_gpt":0.322157160408331,"score_spread":0.2874791291089139,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6904634041","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90138227,0.000014660062,0.00006486159,0.0011268683,0.00042989402,0.000950436,0.0029508315,0.000023763729,0.09305641],"genre_scores_gemma":[0.9830684,0.000010351118,0.000021922991,0.000266516,0.00008084975,0.00003591223,0.00030087098,0.000005123848,0.01621007],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984703,0.0006053145,0.00019534321,0.00026741697,0.00031077702,0.00015082423],"domain_scores_gemma":[0.99871516,0.00067489175,0.000105304636,0.00013315801,0.00019125715,0.00018021962],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00069865165,0.00007175742,0.00011897095,0.00003833309,0.0029611292,0.00019601952,0.00031033004,0.000075020194,0.0003996883],"category_scores_gemma":[0.0008266541,0.00006370053,0.00007651186,0.0012476449,0.00016942191,0.00021661705,0.000007136502,0.00015012675,0.0000016870102],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007231921,0.00015024733,0.9729808,0.0000043801538,0.00010145736,0.000004490144,0.0063608056,0.0005218922,0.00004856374,0.00031429692,0.019018365,0.00042236003],"study_design_scores_gemma":[0.00091559737,0.000009083125,0.9919091,0.000013800934,0.000029372692,8.3920206e-8,0.00029580327,0.000005250243,0.00045726623,0.0023919127,0.0038933132,0.00007940848],"about_ca_topic_score_codex":0.9753429,"about_ca_topic_score_gemma":0.9986526,"teacher_disagreement_score":0.08168611,"about_ca_system_score_codex":0.0004971344,"about_ca_system_score_gemma":0.0041160327,"threshold_uncertainty_score":0.99833685},"labels":[],"label_agreement":null},{"id":"W6907611634","doi":"10.25316/ir-17922","title":"Can't argue with good biking: AMS Bike Co-Op handbook 2000-01","year":2000,"lang":"en","type":"other","venue":"VIURRSpace (Vancouver Island University)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Context (archaeology)","score_opus":0.009640722356326318,"score_gpt":0.2197883501576149,"score_spread":0.21014762780128857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6907611634","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00012416801,0.00044713044,0.00023061667,0.00021081508,0.0005689851,0.0005894214,0.00049267133,0.00043817773,0.996898],"genre_scores_gemma":[0.006389304,0.000774038,0.00014715437,0.0001002636,0.00057846296,0.0000017280611,0.000016634987,0.00019631513,0.9917961],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974104,0.000154833,0.00015712959,0.000832564,0.0006674732,0.00077758543],"domain_scores_gemma":[0.99870586,0.000053638913,0.0002828043,0.0005552743,0.00004867144,0.00035373046],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00012377786,0.00051505514,0.0006077212,0.0006520849,0.00058276125,0.000104341045,0.00077866926,0.0006264997,0.008689256],"category_scores_gemma":[0.000005385581,0.00047575156,0.00019255128,0.0009864558,0.00071903685,0.0002554908,0.000035097873,0.00047436208,0.00010440855],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014261548,0.00013918147,0.0038920322,0.00006120538,0.0001763469,0.00035030142,0.0023361878,0.0000074604427,0.000002893475,0.00023572988,0.99205875,0.00059726223],"study_design_scores_gemma":[0.0013138906,0.00007552837,0.00013593545,0.00033764692,0.00019942799,4.4389972e-7,0.0015277682,0.0000015152883,0.000019517645,0.00003762648,0.995643,0.000707685],"about_ca_topic_score_codex":0.02225613,"about_ca_topic_score_gemma":0.36039028,"teacher_disagreement_score":0.33813414,"about_ca_system_score_codex":0.00032246692,"about_ca_system_score_gemma":0.0011842921,"threshold_uncertainty_score":0.9997694},"labels":[],"label_agreement":null},{"id":"W6907688372","doi":"10.22363/2687-0088-42985","title":"Metaphors of resistance in the counter-discourse of Spanish, English and Dutch cycling activists","year":2025,"lang":"en","type":"article","venue":"Russian Journal of Linguistics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Universidad de Valladolid","keywords":"Resistance (ecology); Cycling; Narrative; Metaphor; Perception; Opposition (politics)","score_opus":0.014072634799905157,"score_gpt":0.33645094076911936,"score_spread":0.3223783059692142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6907688372","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9637458,0.0011697576,0.00023088386,0.0003440666,0.00070122734,0.00008607814,0.000011045875,0.0000030379924,0.03370813],"genre_scores_gemma":[0.9985022,0.00016061358,0.00090502197,0.000024377016,0.0003137508,3.536815e-7,3.884137e-7,0.000003655043,0.00008964285],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986714,0.00015305192,0.0006001906,0.00008886181,0.00034624056,0.00014024682],"domain_scores_gemma":[0.9986355,0.00034220828,0.00051301037,0.00012982932,0.00033682806,0.000042662195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019672243,0.00007559761,0.0003021798,0.00010476518,0.00009341169,0.000033909328,0.00033709264,0.000058964713,0.0000084036865],"category_scores_gemma":[0.002552892,0.00005475528,0.00008486596,0.00032744533,0.00040753713,0.00005636784,0.000011212826,0.00024642912,4.1748805e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025314756,0.0003378286,0.82581556,0.00029670369,0.00010161044,0.00006849577,0.085568756,0.000014031561,0.0000957693,0.08668601,0.00024492678,0.00051714364],"study_design_scores_gemma":[0.0014824735,0.00012787091,0.86228883,0.0018968396,0.00046211862,7.698218e-7,0.059755325,0.000021999549,0.0016399364,0.052773137,0.01927599,0.00027470145],"about_ca_topic_score_codex":0.00014348609,"about_ca_topic_score_gemma":0.0016994757,"teacher_disagreement_score":0.036473252,"about_ca_system_score_codex":0.000031559804,"about_ca_system_score_gemma":0.00031588488,"threshold_uncertainty_score":0.30562347},"labels":[],"label_agreement":null},{"id":"W6907859899","doi":"10.25384/sage.23911030.v1","title":"sj-docx-1-usj-10.1177_00420980231186499 – Supplemental material for What might working from home mean for the geography of work and commuting in the Greater Golden Horseshoe, Canada?","year":2023,"lang":"en","type":"article","venue":"Figshare","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Human geography; Journey to work; Urban geography; Domestic work","score_opus":0.05126641054717575,"score_gpt":0.2794249990865199,"score_spread":0.22815858853934418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6907859899","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7981111,0.00038971571,6.5268296e-7,0.0022706648,0.0003342279,0.0013913307,0.19734111,0.000039747672,0.00012147715],"genre_scores_gemma":[0.9528554,0.0000075001035,0.000025582689,0.00013268953,0.0003151195,0.00033707183,0.04625261,0.000014239883,0.00005976308],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99871206,0.000081725455,0.0002658293,0.00024489182,0.00028490036,0.0004105757],"domain_scores_gemma":[0.9986903,0.00087653956,0.0001174819,0.00021728882,0.000051840034,0.000046545778],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00041615686,0.00013372977,0.00019045408,0.000046483325,0.0005598832,0.00030846221,0.00058590056,0.00007130668,0.028392328],"category_scores_gemma":[0.00006669326,0.00008757733,0.00010134386,0.00040634195,0.0000559602,0.00024112787,0.000068470385,0.00008658334,0.0000030518713],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019678393,0.00003561958,0.59974784,0.00014389592,0.000098255834,0.0000102308295,0.017547451,0.000004143593,0.000014779887,0.00003340441,0.37650147,0.005666165],"study_design_scores_gemma":[0.00073159504,0.0000283026,0.6913092,0.00070239423,0.00005336243,1.0564928e-7,0.015755525,0.000029642515,0.00024416012,0.00044501157,0.29043958,0.00026115464],"about_ca_topic_score_codex":0.08463817,"about_ca_topic_score_gemma":0.63893133,"teacher_disagreement_score":0.55429316,"about_ca_system_score_codex":0.000040169543,"about_ca_system_score_gemma":0.00009964084,"threshold_uncertainty_score":0.97249585},"labels":[],"label_agreement":null},{"id":"W6909883370","doi":"10.3785/j.issn.1008-9497.2025.04.010","title":"Research progress of the urban built environment walkability: Using Citespace knowledge mapping analysis(城市建成环境步行性研究进展——基于Citespace知识图谱的分析)","year":2025,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Walkability; Built environment; Context (archaeology); Pedestrian; Urban planning; Disadvantaged; Urban design","score_opus":0.3814937258853373,"score_gpt":0.6096642000914894,"score_spread":0.22817047420615205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6909883370","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9597825,0.027319022,0.0006401166,0.000980607,0.00045956133,0.0013599042,0.00003964089,0.000035124212,0.009383569],"genre_scores_gemma":[0.99552035,0.0013889733,0.0003328979,0.00004945128,0.00017118665,0.00005210442,0.0000050432577,0.000028440496,0.0024515635],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99262375,0.0023037393,0.0013652655,0.00088796875,0.0019077772,0.00091147755],"domain_scores_gemma":[0.9954106,0.001090081,0.0009968383,0.0013725681,0.00081413187,0.0003157796],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.010296202,0.00037071388,0.001166708,0.0019892997,0.0016848618,0.001229304,0.006010001,0.0002613425,0.004056702],"category_scores_gemma":[0.0007372789,0.00029623607,0.00069051556,0.01053633,0.0024552802,0.001765336,0.0017888889,0.00093536347,0.000005103822],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008091331,0.00062765786,0.9815164,0.0001893264,0.00065840164,0.00000414082,0.0035893465,0.0002017141,0.006312538,0.00040765636,0.0025568102,0.003855088],"study_design_scores_gemma":[0.0002998233,0.00000540632,0.96655554,0.000503049,0.0004454995,1.5603808e-7,0.001797886,0.00022956055,0.005733782,0.006249569,0.017868128,0.00031158532],"about_ca_topic_score_codex":0.009810822,"about_ca_topic_score_gemma":0.0031610567,"teacher_disagreement_score":0.035737883,"about_ca_system_score_codex":0.0006274509,"about_ca_system_score_gemma":0.0010861327,"threshold_uncertainty_score":0.999949},"labels":[],"label_agreement":null},{"id":"W6912873047","doi":"10.5281/zenodo.7755705","title":"What about cycling conditions in the 15-min city? A comprehensive assessment of bikeability in the urban area of Strasbourg, France.","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cycling; Context (archaeology); Urban area; Quality (philosophy); Urban planning; Sustainable development","score_opus":0.07388568837916892,"score_gpt":0.34885450725262596,"score_spread":0.27496881887345703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6912873047","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9846345,0.0000678246,0.000082738654,0.0015062145,0.00007033142,0.0006123497,0.00013086824,0.00007893351,0.012816194],"genre_scores_gemma":[0.9992987,0.0001309027,0.000016259182,0.00007734004,0.0000386797,2.1460733e-7,0.00029773085,0.000076739496,0.000063437255],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9975372,0.0010049558,0.00037273715,0.00024091113,0.00057720504,0.00026699327],"domain_scores_gemma":[0.9988917,0.0002610436,0.00013861626,0.00036138023,0.00030385578,0.000043418713],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0026531704,0.00008225866,0.00016518196,0.00017041311,0.00093029725,0.00029305049,0.0010933974,0.00005174031,0.0021815738],"category_scores_gemma":[0.00035310021,0.00006270539,0.00006287244,0.001677776,0.0005472792,0.00041656848,0.00013309356,0.00028478215,0.000053902542],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016809627,0.0037493783,0.4065105,0.0008673252,0.00014982767,0.00009370868,0.44709262,0.0017189143,0.007306924,0.049106788,0.047362998,0.035872895],"study_design_scores_gemma":[0.00032908967,0.00006265376,0.90519327,0.00008448123,0.000008972524,6.6615087e-7,0.03545043,0.00020999703,0.000047034988,0.0014743977,0.057054408,0.00008461941],"about_ca_topic_score_codex":0.0004856169,"about_ca_topic_score_gemma":0.00013587225,"teacher_disagreement_score":0.49868274,"about_ca_system_score_codex":0.0000615612,"about_ca_system_score_gemma":0.000018572751,"threshold_uncertainty_score":0.99873054},"labels":[],"label_agreement":null},{"id":"W6918183776","doi":"10.58079/d4t7","title":"De la voiture vélo : le potentiel du transport actif à Montréal pour les courts trajets","year":2020,"lang":"fr","type":"article","venue":"Industrias Culturais (Universidade de Coimbra)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Order (exchange); Legislation; Action (physics)","score_opus":0.028991509366467716,"score_gpt":0.24562519289768914,"score_spread":0.21663368353122142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6918183776","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7675325,0.0021296036,0.0010719894,0.19184646,0.00048698243,0.00044255436,0.0003412147,0.00025824897,0.035890445],"genre_scores_gemma":[0.96367556,0.0002819866,0.00034363664,0.0010339286,0.0015482346,0.0000063365947,0.000100858284,0.000050746097,0.032958705],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99630356,0.000672741,0.00044546855,0.0008330849,0.0006667261,0.0010784178],"domain_scores_gemma":[0.99793285,0.00022780713,0.00032292143,0.00027606642,0.00020102331,0.0010393301],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006602587,0.0005404412,0.0006232308,0.00009494589,0.0012205045,0.00026037457,0.0010279875,0.0017719485,0.0026508644],"category_scores_gemma":[0.00015949892,0.0005927,0.00057944603,0.0010657447,0.0011590254,0.001457767,0.000050985112,0.0017889728,0.0000893225],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012302422,0.0024164726,0.2920737,0.0004332475,0.0014464718,0.006942529,0.18751076,0.0020478994,0.013734563,0.036848616,0.38172647,0.07358902],"study_design_scores_gemma":[0.0028054158,0.000105667816,0.533914,0.00014676817,0.0005573442,0.000029394942,0.05515141,0.00043522607,0.0008967736,0.0005340044,0.40456864,0.00085531804],"about_ca_topic_score_codex":0.03317457,"about_ca_topic_score_gemma":0.003491003,"teacher_disagreement_score":0.24184035,"about_ca_system_score_codex":0.0004944974,"about_ca_system_score_gemma":0.0015839193,"threshold_uncertainty_score":0.99965245},"labels":[],"label_agreement":null},{"id":"W6920402552","doi":"10.60692/cjynb-g3302","title":"NEWS for Africa: adaptation and reliability of a built environment questionnaire for physical activity in seven African countries","year":2016,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Children's Hospital of Eastern Ontario","funders":"","keywords":"Built environment; Walkability; Level design; Socioeconomic status; Psychological intervention; Scale (ratio); Adaptation (eye); Reliability (semiconductor); Physical activity","score_opus":0.038681711436804544,"score_gpt":0.24990543457798367,"score_spread":0.21122372314117913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6920402552","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9167613,0.0000017521612,0.081506595,0.00034790882,0.00005280543,0.0008973024,0.00020482783,0.000031006843,0.00019650313],"genre_scores_gemma":[0.9993822,3.4044282e-7,0.0002675509,0.0000034017582,0.000042418582,0.00023069132,0.0000024639473,0.000003052725,0.00006785819],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99919677,0.00006113994,0.00027560507,0.00012666207,0.00018713145,0.00015268875],"domain_scores_gemma":[0.9994497,0.000053443644,0.00022802645,0.00012902348,0.00009338646,0.000046465797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000587797,0.00008123787,0.00018152558,0.000057980273,0.00012330244,0.000030754232,0.00007450404,0.00006500913,0.000001991598],"category_scores_gemma":[0.00006811638,0.000056581834,0.00005132672,0.00007080631,0.00013752669,0.0009625247,0.000009670648,0.000021130223,0.0000031292032],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042489445,0.000015665077,0.6658802,0.00052634923,0.0000075557214,5.142342e-8,0.32806045,0.00003382238,0.000004907851,0.00091431366,0.000015249156,0.004116527],"study_design_scores_gemma":[0.001842854,0.00014974507,0.954813,0.00023927724,0.000039724066,1.225849e-7,0.03767502,0.0017294185,0.00050731626,0.00034788772,0.0024215705,0.0002340908],"about_ca_topic_score_codex":0.00030677175,"about_ca_topic_score_gemma":0.00007075392,"teacher_disagreement_score":0.29038543,"about_ca_system_score_codex":0.00017885401,"about_ca_system_score_gemma":0.000063761894,"threshold_uncertainty_score":0.23073402},"labels":[],"label_agreement":null},{"id":"W6920509394","doi":"10.60692/p28vd-arz74","title":"Impact of COVID-19 Pandemic on Motorcycle Purchase in Dhaka, Bangladesh","year":2021,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Purchasing; Public transport; Context (archaeology); Pandemic; Capital city; Coronavirus disease 2019 (COVID-19); Public policy; Sustainable transport","score_opus":0.07036225062612261,"score_gpt":0.31856566675850545,"score_spread":0.24820341613238284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6920509394","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9914512,0.000004463332,0.0007495376,0.000046704994,0.00013710477,0.00025635207,0.00013595905,0.00008711769,0.0071315826],"genre_scores_gemma":[0.99967986,2.9039447e-7,0.000018266766,0.00008598138,0.000046478497,0.000018015286,0.000028156537,0.0000036664035,0.00011930189],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998646,0.0001409916,0.00051935535,0.00012456485,0.00034432308,0.0002247611],"domain_scores_gemma":[0.99923974,0.00001917589,0.00021299989,0.00023858831,0.0001178993,0.00017159515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007164052,0.00010123972,0.00021072228,0.00016113558,0.00012974629,0.00007325037,0.00015779254,0.0001175619,0.00027081362],"category_scores_gemma":[0.00010270161,0.000084754894,0.00012370339,0.00043391733,0.000069148795,0.0005981024,0.000015045171,0.00009290053,0.00009130933],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004187086,0.000005272668,0.8769621,0.00010608353,0.000009250864,0.000004703578,0.12244231,0.00014284597,0.0000016961677,0.00011761183,0.0000261304,0.00014010855],"study_design_scores_gemma":[0.0010432253,0.000034346038,0.96281534,0.00007422924,0.0000090211815,0.0000017953735,0.03531745,0.00016450898,0.000056867524,0.000012060072,0.00033120578,0.00013995504],"about_ca_topic_score_codex":0.0010560527,"about_ca_topic_score_gemma":0.00008903731,"teacher_disagreement_score":0.08712486,"about_ca_system_score_codex":0.00042748818,"about_ca_system_score_gemma":0.00047903543,"threshold_uncertainty_score":0.34562042},"labels":[],"label_agreement":null},{"id":"W6920822782","doi":"10.6084/m9.figshare.26651037.v1","title":"Additional file 4 of Prioritizing a research agenda on built environments and physical activity: a twin panel Delphi consensus process with researchers and knowledge users","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; Dalhousie University; Research Institute for Aging; University of Waterloo; Parachute; University of Victoria; University of Lethbridge; University of New Brunswick; University of Saskatchewan; Alberta Health Services; University of Toronto; Carleton University; University of Calgary; Ottawa Public Health; Children's Hospital of Eastern Ontario; Statistics Canada; Infrastructure Canada; BC Centre for Disease Control; University of British Columbia; Simon Fraser University; Public Health Agency of Canada; University of Ottawa","funders":"","keywords":"Process (computing); Delphi method; Table (database); Ranking (information retrieval); Delphi","score_opus":0.29862558444216836,"score_gpt":0.4337494935998333,"score_spread":0.13512390915766492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6920822782","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25677854,0.000088980785,2.6712847e-8,0.00010620604,0.0000038632393,0.00024768937,0.7391337,0.000022569953,0.003618445],"genre_scores_gemma":[0.9591225,0.0000027654066,0.000021010468,0.000005661907,0.000104052124,0.00030259194,0.03930284,0.0000131473,0.0011254561],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99861515,0.00014968817,0.00007014946,0.00034771077,0.0005337953,0.0002835082],"domain_scores_gemma":[0.9971031,0.002576263,0.000025409052,0.000095493284,0.000068397734,0.00013135413],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00017309817,0.00008801108,0.00011848839,0.00008465792,0.00027950024,0.00009897252,0.00011543043,0.00006600483,0.33751732],"category_scores_gemma":[0.0011402454,0.00007492355,0.000026103295,0.00034168645,0.00030246965,0.00016102551,0.000048184385,0.00033621897,0.00008765068],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000091120215,0.00018006419,0.00018319194,0.00055022846,0.000032101983,0.00006491643,0.010442806,3.7684947e-7,0.00006122222,0.000012418108,0.97898126,0.009400313],"study_design_scores_gemma":[0.00039616277,0.0003448367,0.07931123,0.008269792,0.000015320185,0.0000024996161,0.0077681923,0.0005491034,0.00037902867,0.00043147957,0.90218747,0.00034486636],"about_ca_topic_score_codex":0.00007956505,"about_ca_topic_score_gemma":0.00038496673,"teacher_disagreement_score":0.70234394,"about_ca_system_score_codex":0.00006391854,"about_ca_system_score_gemma":0.00051515223,"threshold_uncertainty_score":0.66308826},"labels":[],"label_agreement":null},{"id":"W6920838485","doi":"10.6084/m9.figshare.29368221","title":"Additional file 1 of Urban cycling-specific active transportation behaviour is sensitive to the fresh start effect: triangulating observational evidence from real world data","year":2025,"lang":"en","type":"article","venue":"Open MIND","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Real world data; Observational study; Data collection; Real-time data; Fresh Start; Global Positioning System","score_opus":0.14968841055151563,"score_gpt":0.3870970398287208,"score_spread":0.23740862927720516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6920838485","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5338888,0.0000066704624,0.00003732057,0.00078864256,0.00008011974,0.00062980375,0.46164095,0.0000028278598,0.0029248598],"genre_scores_gemma":[0.85356015,0.0000035206347,0.0072207167,0.0001329425,0.0003111738,0.00012568857,0.13446873,0.000008458941,0.0041686],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99833846,0.00019844073,0.00035854682,0.0004976696,0.00043619276,0.00017066977],"domain_scores_gemma":[0.99453306,0.004592177,0.00022005437,0.00040449036,0.00018892522,0.00006128596],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00062995043,0.00011208315,0.00022402205,0.0000532163,0.00042224154,0.00013373588,0.0008433818,0.000051158397,0.34586093],"category_scores_gemma":[0.00050015294,0.0000953558,0.000061548475,0.00067324366,0.00018554766,0.000829122,0.000057486533,0.00014974759,0.000051724408],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036442513,0.000071041744,0.10378602,0.0000033934634,0.00005152148,0.0000043876994,0.012679353,0.000009121447,0.000103910366,0.000025213496,0.8562828,0.026618855],"study_design_scores_gemma":[0.00015264843,0.000019401667,0.88788676,0.0003612573,0.00004765903,6.241514e-9,0.0020654076,0.000036396366,0.0009354018,0.000055317014,0.10833995,0.000099812794],"about_ca_topic_score_codex":0.014625378,"about_ca_topic_score_gemma":0.1962214,"teacher_disagreement_score":0.7841007,"about_ca_system_score_codex":0.00007823712,"about_ca_system_score_gemma":0.0004183457,"threshold_uncertainty_score":0.9919363},"labels":[],"label_agreement":null},{"id":"W6920878077","doi":"10.6084/m9.figshare.26651037","title":"Additional file 4 of Prioritizing a research agenda on built environments and physical activity: a twin panel Delphi consensus process with researchers and knowledge users","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; Dalhousie University; Research Institute for Aging; University of Waterloo; Parachute; University of Victoria; University of Lethbridge; University of New Brunswick; University of Saskatchewan; Alberta Health Services; University of Toronto; Carleton University; University of Calgary; Ottawa Public Health; Children's Hospital of Eastern Ontario; Statistics Canada; Infrastructure Canada; BC Centre for Disease Control; University of British Columbia; Simon Fraser University; Public Health Agency of Canada; University of Ottawa","funders":"","keywords":"Process (computing); Delphi method; Table (database); Ranking (information retrieval); Delphi","score_opus":0.29862558444216836,"score_gpt":0.4337494935998333,"score_spread":0.13512390915766492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6920878077","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25677854,0.000088980785,2.6712847e-8,0.00010620604,0.0000038632393,0.00024768937,0.7391337,0.000022569953,0.003618445],"genre_scores_gemma":[0.9591225,0.0000027654066,0.000021010468,0.000005661907,0.000104052124,0.00030259194,0.03930284,0.0000131473,0.0011254561],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99861515,0.00014968817,0.00007014946,0.00034771077,0.0005337953,0.0002835082],"domain_scores_gemma":[0.9971031,0.002576263,0.000025409052,0.000095493284,0.000068397734,0.00013135413],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00017309817,0.00008801108,0.00011848839,0.00008465792,0.00027950024,0.00009897252,0.00011543043,0.00006600483,0.33751732],"category_scores_gemma":[0.0011402454,0.00007492355,0.000026103295,0.00034168645,0.00030246965,0.00016102551,0.000048184385,0.00033621897,0.00008765068],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000091120215,0.00018006419,0.00018319194,0.00055022846,0.000032101983,0.00006491643,0.010442806,3.7684947e-7,0.00006122222,0.000012418108,0.97898126,0.009400313],"study_design_scores_gemma":[0.00039616277,0.0003448367,0.07931123,0.008269792,0.000015320185,0.0000024996161,0.0077681923,0.0005491034,0.00037902867,0.00043147957,0.90218747,0.00034486636],"about_ca_topic_score_codex":0.00007956505,"about_ca_topic_score_gemma":0.00038496673,"teacher_disagreement_score":0.70234394,"about_ca_system_score_codex":0.00006391854,"about_ca_system_score_gemma":0.00051515223,"threshold_uncertainty_score":0.66308826},"labels":[],"label_agreement":null},{"id":"W6920948302","doi":"10.6084/m9.figshare.29288442","title":"Additional file 15 of Cycling infrastructure as a determinant of cycling for recreation and transportation in Montréal, Canada: a natural experiment using the longitudinal national population health survey","year":2025,"lang":"en","type":"article","venue":"Figshare","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Health Canada; Queen's University; Université de Sherbrooke; McGill University; Public Health Agency of Canada; University of Ottawa","funders":"","keywords":"Cycling; Recreation; Population; Natural (archaeology); Population health","score_opus":0.042217540382819295,"score_gpt":0.3449240901768275,"score_spread":0.30270654979400824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6920948302","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3541635,0.00029614082,0.000007630224,0.000062429484,0.000032096465,0.0003689784,0.64504504,0.0000042543033,0.000019956673],"genre_scores_gemma":[0.7279442,0.0000014488503,0.00026627045,0.000026882999,0.000020821837,0.00006205771,0.27166402,0.0000022180513,0.000012117742],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99912876,0.00006417999,0.00031277782,0.00013664085,0.0002519868,0.00010567071],"domain_scores_gemma":[0.99883026,0.0006627235,0.00023675206,0.00004171505,0.00020661003,0.000021957647],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00017021122,0.00006239064,0.00013256351,0.000053098956,0.00020560146,0.000012875875,0.00006581366,0.000047534555,0.024244156],"category_scores_gemma":[0.00085101847,0.00005430268,0.000030584495,0.0002106278,0.000016306143,0.00014368987,0.0000036746212,0.00006580613,6.1375665e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040462913,0.00013783172,0.31046543,0.00088086084,0.00007344467,0.000002345123,0.0073538413,0.0039671403,0.00012445964,0.00026348277,0.66723746,0.009089069],"study_design_scores_gemma":[0.00013534802,0.000008380979,0.9955951,0.00082228635,0.0000032361675,7.020363e-8,0.00040167026,0.0015731561,0.000058049012,0.00021867672,0.0011356714,0.00004835498],"about_ca_topic_score_codex":0.44438002,"about_ca_topic_score_gemma":0.9272918,"teacher_disagreement_score":0.68512964,"about_ca_system_score_codex":0.00021691575,"about_ca_system_score_gemma":0.0010932134,"threshold_uncertainty_score":0.9766478},"labels":[],"label_agreement":null},{"id":"W6920968531","doi":"10.6084/m9.figshare.29288445.v1","title":"Additional file 16 of Cycling infrastructure as a determinant of cycling for recreation and transportation in Montréal, Canada: a natural experiment using the longitudinal national population health survey","year":2025,"lang":"en","type":"article","venue":"Figshare","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Health Canada; Queen's University; Université de Sherbrooke; McGill University; Public Health Agency of Canada; University of Ottawa","funders":"","keywords":"Cycling; Recreation; Population; Natural (archaeology); Population health","score_opus":0.0417515628074224,"score_gpt":0.3443802093518091,"score_spread":0.3026286465443867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6920968531","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30127376,0.0003077945,0.000010528963,0.0000677307,0.000034475168,0.00039459445,0.69787985,0.000004546621,0.000026699567],"genre_scores_gemma":[0.6953334,0.0000014894662,0.0002067624,0.000025969157,0.000019213268,0.000060378537,0.30433747,0.0000021241958,0.000013153538],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9991274,0.000064078915,0.00031830295,0.00013627957,0.00024834342,0.00010559181],"domain_scores_gemma":[0.99882483,0.000667444,0.000241446,0.000041579904,0.00020300713,0.000021699525],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00017202698,0.000062269784,0.00013176445,0.000052923166,0.00020776234,0.000012734885,0.00006519023,0.00004553312,0.031919282],"category_scores_gemma":[0.00084985734,0.00005392772,0.00003165844,0.00020717668,0.000016332659,0.00014265743,0.000003641194,0.00006234543,5.689786e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035940536,0.000119360135,0.23070219,0.00077440974,0.000064149455,0.0000016936634,0.0054373904,0.0026106173,0.00007571961,0.0002677631,0.75039345,0.00919383],"study_design_scores_gemma":[0.00014069193,0.000008545824,0.99538493,0.0008698059,0.0000033063022,7.135975e-8,0.00042686073,0.0011261882,0.00005433815,0.00026902018,0.0016665581,0.00004968839],"about_ca_topic_score_codex":0.49485078,"about_ca_topic_score_gemma":0.95048594,"teacher_disagreement_score":0.7646827,"about_ca_system_score_codex":0.0002889852,"about_ca_system_score_gemma":0.0010875043,"threshold_uncertainty_score":0.96896565},"labels":[],"label_agreement":null},{"id":"W6921039240","doi":"10.6084/m9.figshare.29288436","title":"Additional file 13 of Cycling infrastructure as a determinant of cycling for recreation and transportation in Montréal, Canada: a natural experiment using the longitudinal national population health survey","year":2025,"lang":"en","type":"article","venue":"Figshare","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Health Canada; Queen's University; Université de Sherbrooke; McGill University; Public Health Agency of Canada; University of Ottawa","funders":"","keywords":"Cycling; Recreation; Population; Natural (archaeology); Population health; Natural experiment","score_opus":0.041492772803066014,"score_gpt":0.34364412164163743,"score_spread":0.3021513488385714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6921039240","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38957012,0.00025583722,0.0000070599435,0.00006023774,0.000030690517,0.00035293764,0.6096996,0.0000040501122,0.000019428011],"genre_scores_gemma":[0.7308575,0.0000015348182,0.00023287631,0.000026074886,0.00001993466,0.00006408799,0.2687835,0.0000022231807,0.000012282054],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9991307,0.000063716696,0.0003130298,0.00013672531,0.0002499921,0.00010583068],"domain_scores_gemma":[0.99882585,0.0006691927,0.0002364849,0.000041725336,0.00020493138,0.000021799127],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00016781714,0.00006248797,0.00013240025,0.000053019146,0.00020823223,0.000013012549,0.000065884706,0.000045739933,0.022609951],"category_scores_gemma":[0.0008372717,0.000054356748,0.000030745763,0.00020927262,0.000016351582,0.00014466803,0.0000036689346,0.000063271684,5.950968e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041053988,0.00014091152,0.37112957,0.00091566716,0.00007588815,0.0000023727014,0.007780978,0.0047871447,0.00012120167,0.00024610516,0.60495013,0.0094395075],"study_design_scores_gemma":[0.00013477112,0.000008188289,0.9956325,0.0008152488,0.0000031809332,6.844143e-8,0.00039395274,0.0017319267,0.0000530878,0.00021442375,0.00096474035,0.000047880523],"about_ca_topic_score_codex":0.5064092,"about_ca_topic_score_gemma":0.94125426,"teacher_disagreement_score":0.62450296,"about_ca_system_score_codex":0.00021601222,"about_ca_system_score_gemma":0.0010724346,"threshold_uncertainty_score":0.9782835},"labels":[],"label_agreement":null},{"id":"W6921159570","doi":"10.6084/m9.figshare.29288433.v1","title":"Additional file 12 of Cycling infrastructure as a determinant of cycling for recreation and transportation in Montréal, Canada: a natural experiment using the longitudinal national population health survey","year":2025,"lang":"en","type":"article","venue":"Figshare","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Health Canada; Queen's University; Université de Sherbrooke; McGill University; Public Health Agency of Canada; University of Ottawa","funders":"","keywords":"Cycling; Recreation; Population; Natural (archaeology); Population health; Natural experiment","score_opus":0.04497032787391955,"score_gpt":0.3435683090539096,"score_spread":0.29859798117999004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6921159570","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31224185,0.00026752497,0.00000983431,0.000064381355,0.00003511688,0.00039913092,0.6869528,0.0000045540773,0.000024803738],"genre_scores_gemma":[0.7290057,0.0000015228339,0.00024597908,0.00002575609,0.00002048324,0.00006315275,0.27062187,0.0000022284814,0.000013293747],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9991324,0.000063829895,0.00031183782,0.00013567501,0.00024988034,0.000106378444],"domain_scores_gemma":[0.9988527,0.0006657842,0.00023581836,0.00004155972,0.00018219464,0.00002188581],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00016927764,0.00006234621,0.00013193025,0.000052508978,0.00020813507,0.000012713319,0.00006527135,0.000045679688,0.022511702],"category_scores_gemma":[0.0008203412,0.000054259697,0.000030737883,0.00017770512,0.000016233787,0.00014554431,0.0000036510398,0.000062860294,5.395368e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043160128,0.00014169743,0.37663835,0.00090560375,0.000076062715,0.0000023137297,0.0077605927,0.004509122,0.000116036594,0.00027206,0.60043347,0.008713126],"study_design_scores_gemma":[0.00013521711,0.000008416243,0.9954719,0.00081655115,0.0000032523367,6.928313e-8,0.00037905475,0.0016815076,0.000049683335,0.00020570327,0.0012005881,0.000048081878],"about_ca_topic_score_codex":0.45646986,"about_ca_topic_score_gemma":0.9380014,"teacher_disagreement_score":0.61883354,"about_ca_system_score_codex":0.00022077943,"about_ca_system_score_gemma":0.0010629224,"threshold_uncertainty_score":0.9783819},"labels":[],"label_agreement":null},{"id":"W6921186956","doi":"10.6084/m9.figshare.26559248","title":"Additional file 1 of Neighborhood infrastructure-related risk factors and non-communicable diseases: a systematic meta-review","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; McGill University","funders":"","keywords":"Table (database); Population; Checklist; Quality (philosophy); Data quality","score_opus":0.027858833139684618,"score_gpt":0.282003215769056,"score_spread":0.2541443826293714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6921186956","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000063762796,0.026022144,1.5255499e-7,0.000021248166,0.00002135867,0.00045739912,0.96974456,0.0000698737,0.0035995017],"genre_scores_gemma":[0.19976535,0.00012679103,0.000022291519,0.00002988866,0.000025554209,0.00061561924,0.7990105,0.000011094109,0.00039291594],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988868,0.00015736654,0.0003316741,0.00019398595,0.00027755776,0.00015256273],"domain_scores_gemma":[0.9974485,0.0019525341,0.00016599052,0.00024137634,0.000079606616,0.000112005],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007544472,0.00013643372,0.00049917895,0.00004027637,0.00018721001,0.00007344312,0.000286716,0.00007709109,0.99207664],"category_scores_gemma":[0.002775993,0.00009115273,0.00026931416,0.00037635525,0.00004411653,0.00031615488,0.00004666535,0.00017136871,0.00024404508],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[4.1419523e-7,0.000013933901,0.00021452333,0.01842544,0.00028293606,0.0000020213674,0.00032025212,5.389772e-7,3.927338e-8,0.000010269598,0.980693,0.00003664469],"study_design_scores_gemma":[0.0001559571,0.00004833927,0.07548956,0.29695785,0.004404487,0.0000010069001,0.0008008089,0.00046172354,0.000003247535,0.002769278,0.61827964,0.0006280788],"about_ca_topic_score_codex":0.00009954239,"about_ca_topic_score_gemma":0.00009273116,"teacher_disagreement_score":0.9918326,"about_ca_system_score_codex":0.000027174226,"about_ca_system_score_gemma":0.00021605016,"threshold_uncertainty_score":0.37171006},"labels":[],"label_agreement":null},{"id":"W6922543162","doi":"10.13140/rg.2.2.17633.28006","title":"The Automobile and the Transformation of Personal Mobility in Canada","year":2020,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transformation (genetics); Government (linguistics); Automotive industry; Work (physics)","score_opus":0.01410706964570333,"score_gpt":0.2425356484677803,"score_spread":0.22842857882207698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6922543162","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97458786,0.00011146284,0.000023779947,0.015250598,0.000023301132,0.00019996308,0.0000042173097,0.0000052633986,0.009793532],"genre_scores_gemma":[0.99972683,0.000022681117,0.0000033438653,0.00019873877,0.0000120512195,0.000005947315,4.8867065e-7,6.4790834e-7,0.000029275016],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99950635,0.00007524122,0.00012709643,0.00005558959,0.00015776067,0.00007794619],"domain_scores_gemma":[0.9997379,0.0001588781,0.00002131745,0.000033932352,0.00001779041,0.00003018993],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053821027,0.00002531601,0.00005914455,0.000002128527,0.00016461888,0.000012773324,0.00009851736,0.00001165457,0.00009865253],"category_scores_gemma":[0.00003526626,0.000012260838,0.000017363183,0.000107006505,0.00028614892,0.00008676183,0.0000033209046,0.00005276366,1.8441283e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016775426,0.000022899478,0.823482,0.00003850592,0.000007987754,4.4736302e-7,0.14564905,0.0000106665375,0.000018290111,0.019104145,0.0004812111,0.011017051],"study_design_scores_gemma":[0.0008452666,0.000012096813,0.90594393,0.000004076394,0.000008854097,2.8760683e-8,0.07649798,0.00512003,0.00017713623,0.0015493039,0.009768137,0.00007318418],"about_ca_topic_score_codex":0.95330215,"about_ca_topic_score_gemma":0.9965754,"teacher_disagreement_score":0.08246191,"about_ca_system_score_codex":0.0000400647,"about_ca_system_score_gemma":0.0005053347,"threshold_uncertainty_score":0.12661318},"labels":[],"label_agreement":null},{"id":"W6923018736","doi":"10.13140/rg.2.2.23750.80966","title":"Sustainability Transitions and Innovation (STIR) Review: Decarbonizing Land-Based Transportation in Canada","year":2020,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sustainability; Work (physics); Production (economics); Government (linguistics)","score_opus":0.024155942156891808,"score_gpt":0.28476520290426155,"score_spread":0.26060926074736973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6923018736","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94712806,0.0005255027,0.0011591818,0.04978211,0.000023952145,0.00043282687,0.000018394767,0.00003591388,0.0008940581],"genre_scores_gemma":[0.99654293,0.00007509425,0.000119538476,0.0031556427,0.00002077943,0.000014593356,0.00005797995,0.000003312665,0.000010112642],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990983,0.00006378478,0.0002956322,0.00019130019,0.00019549427,0.00015547652],"domain_scores_gemma":[0.99963266,0.000043630735,0.00004245976,0.00005679236,0.00015145628,0.00007300859],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003310304,0.000065096494,0.0001358998,0.000038811588,0.0001150037,0.00001360705,0.00006404023,0.000030309564,0.00010440875],"category_scores_gemma":[0.000116818555,0.00006410568,0.000017319324,0.0012083729,0.000058532652,0.00018310321,7.7770403e-7,0.00009181107,1.7963352e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013618414,0.000016313505,0.9941053,0.00040870492,0.000001808613,0.000008469832,0.0014102032,0.000044641292,0.000014171503,0.0014927137,0.00016445096,0.0023196486],"study_design_scores_gemma":[0.0004101024,0.000013742619,0.98951006,0.00010385191,0.000023022252,1.8745135e-8,0.00236772,0.0004817079,0.00007084108,0.00080090755,0.006048735,0.00016928323],"about_ca_topic_score_codex":0.88807696,"about_ca_topic_score_gemma":0.99466634,"teacher_disagreement_score":0.10658942,"about_ca_system_score_codex":0.00024094411,"about_ca_system_score_gemma":0.0021778627,"threshold_uncertainty_score":0.3863435},"labels":[],"label_agreement":null},{"id":"W6923409066","doi":"10.14288/1.0444825","title":"The underground bicycle economy : An exploration of social supports and economic resources that Vancouver’s homeless cyclists utilize : [infographic]","year":2024,"lang":"en","type":"article","venue":"Open Collections","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Infographic; Product (mathematics); Economic impact analysis; Norwegian","score_opus":0.04582789768026852,"score_gpt":0.32555488431483615,"score_spread":0.27972698663456763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6923409066","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48878223,0.00021622513,0.00014283742,0.0014082473,0.0010956536,0.0007792571,0.00006103384,0.0000924434,0.5074221],"genre_scores_gemma":[0.96830326,0.00010128055,0.000018422243,0.000016290596,0.00014699096,0.00007869197,0.000008259663,0.0000098193,0.031317003],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990914,0.00012067513,0.00022978804,0.00027413236,0.00009461277,0.0001894321],"domain_scores_gemma":[0.9994881,0.00017169213,0.00008563621,0.0001455741,0.000035567904,0.00007341765],"candidate_categories":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00064357836,0.00009061454,0.00015873883,0.000065945904,0.004869923,0.0027180698,0.00030343025,0.00007552431,0.00038576036],"category_scores_gemma":[0.000008484816,0.00007774286,0.00006779842,0.0004576579,0.0004559477,0.0026342017,0.000048053702,0.00009836198,0.0000016389685],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00054623315,0.00080767396,0.13563119,0.00028124888,0.00081631594,0.0000223397,0.19259842,0.00011341639,0.00004742877,0.113282174,0.5137318,0.042121813],"study_design_scores_gemma":[0.00035257894,0.000065302826,0.0386082,0.000023517212,0.00008038153,5.2257496e-7,0.059365477,0.0002489758,0.000049513776,0.124500886,0.776419,0.0002856803],"about_ca_topic_score_codex":0.037440438,"about_ca_topic_score_gemma":0.69460005,"teacher_disagreement_score":0.6571596,"about_ca_system_score_codex":0.00010535109,"about_ca_system_score_gemma":0.00036613227,"threshold_uncertainty_score":0.9983172},"labels":[],"label_agreement":null},{"id":"W6923536117","doi":"10.14279/depositonce-12677","title":"Safety Related Behaviors and Law Adherence of Shared E-Scooter Riders in Germany","year":2021,"lang":"en","type":"article","venue":"DepositOnce","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Enforcement; Quarter (Canadian coin); Dual (grammatical number); Law enforcement; Point (geometry); Key (lock)","score_opus":0.014727425812625955,"score_gpt":0.2884603649613007,"score_spread":0.2737329391486747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6923536117","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98553157,0.00046756942,0.000015169785,0.00018533412,0.00010166654,0.0000913849,0.000007708991,0.000021098012,0.013578487],"genre_scores_gemma":[0.99927676,0.000037973092,0.00028432754,0.00005418243,0.000012808607,0.0000032760572,0.0000058813935,0.0000043166074,0.00032047002],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99911755,0.000079305806,0.00025468404,0.00021302875,0.00016758213,0.00016783045],"domain_scores_gemma":[0.99965286,0.00004788804,0.00006198191,0.00012735995,0.000051476884,0.0000584336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001839661,0.00006327596,0.00013921683,0.000017801134,0.00013359849,0.000032664142,0.00011997658,0.000086818254,0.00014004225],"category_scores_gemma":[0.00002083695,0.00006645984,0.000035056262,0.00026918622,0.0002495108,0.00029856525,0.000024684712,0.00011745475,0.0000021541439],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002018985,0.000066675,0.97409624,0.000024063644,0.0000068152112,0.000089099034,0.009793277,0.00000401481,0.011690273,0.0030195876,0.000009605277,0.001180183],"study_design_scores_gemma":[0.00032527436,0.000013620033,0.9893123,0.000096417825,0.000018447856,0.0000010328984,0.0009863774,0.000016262487,0.008173659,0.00057872926,0.00035482045,0.00012304768],"about_ca_topic_score_codex":0.007486547,"about_ca_topic_score_gemma":0.028389106,"teacher_disagreement_score":0.02090256,"about_ca_system_score_codex":0.00003121209,"about_ca_system_score_gemma":0.00007890869,"threshold_uncertainty_score":0.9991227},"labels":[],"label_agreement":null},{"id":"W6923543243","doi":"10.14288/1.0218882","title":"[Otto Nubel]","year":2015,"lang":"en","type":"other","venue":"Open Collections","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Service (business); Work (physics); Pacific Area; Product (mathematics)","score_opus":0.044769049707383164,"score_gpt":0.3476293217120179,"score_spread":0.3028602720046347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6923543243","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000010684658,0.00019488134,0.000019036515,0.00019771975,0.00093765685,0.0007344613,0.00016694223,0.00017745602,0.99757075],"genre_scores_gemma":[0.000041497704,0.00006243547,0.00025549793,0.00005857036,0.00064973044,0.0000801951,0.000041678966,0.000098975965,0.9987114],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991051,0.00008334149,0.000117008654,0.0002586104,0.0002343993,0.00020155517],"domain_scores_gemma":[0.9994402,0.000017543893,0.00007893127,0.0002443442,0.00007009504,0.00014889806],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00031135167,0.000108069544,0.00020153941,0.00006253709,0.0018127781,0.0009958555,0.0006297227,0.00022466855,0.062834255],"category_scores_gemma":[0.000049749462,0.00010738506,0.000049376307,0.0010496178,0.00015986135,0.00011566147,0.000054197626,0.00014124428,0.00019672464],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000029826329,0.000054431835,0.00018111181,0.0000031635575,0.000021363905,0.0000016815986,0.00027039903,7.5722454e-8,5.580264e-8,0.00012233981,0.9992253,0.00011708733],"study_design_scores_gemma":[0.00014920247,0.000009574963,0.000030497862,0.000026069816,0.000027735292,8.179191e-8,0.00034400995,2.9773486e-7,3.6757868e-7,0.0018518898,0.99741656,0.00014369602],"about_ca_topic_score_codex":0.42652616,"about_ca_topic_score_gemma":0.7526714,"teacher_disagreement_score":0.32614526,"about_ca_system_score_codex":0.00012749441,"about_ca_system_score_gemma":0.0011265744,"threshold_uncertainty_score":0.99948674},"labels":[],"label_agreement":null},{"id":"W6923557760","doi":"10.14288/1.0223533","title":"Evaluating the impact of environmental interventions across 2 countries: the International Bikeshare Impacts on Cycling and Collisions Study (IBICCS) Study protocol","year":2016,"lang":"en","type":"article","venue":"Open Collections","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cycling; Psychological intervention; Sampling frame; Sample (material); Protocol (science); Population; Intervention (counseling); Sampling design; Data collection; Control (management)","score_opus":0.12594269995307764,"score_gpt":0.5101678517367935,"score_spread":0.38422515178371586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6923557760","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92815304,0.000003930571,0.000011899706,0.0003843583,0.00011324404,0.065829776,0.00046372632,0.000016007381,0.005024028],"genre_scores_gemma":[0.96520084,0.0000029772946,0.000008826088,0.000013736155,0.00006779045,0.025226125,0.0000019758543,0.00000850991,0.0094692],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981947,0.0004094298,0.0004028647,0.00028100327,0.00049723237,0.00021475942],"domain_scores_gemma":[0.9986428,0.0006470842,0.0002336743,0.00031618847,0.00009123081,0.000069001384],"candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0024930243,0.000120831406,0.00016101178,0.000033823508,0.0066257017,0.0011068296,0.00080162374,0.000033959575,0.0024979769],"category_scores_gemma":[0.0003913592,0.000055707074,0.00014019228,0.00045443408,0.00032562832,0.0004421068,0.00024712848,0.00012961042,0.0000057507086],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003964561,0.0037506532,0.95700616,0.0000045163915,0.0003199053,0.0000015320456,0.033466093,0.00006858584,0.00014518945,0.000015723868,0.0033324345,0.0014927577],"study_design_scores_gemma":[0.0026912196,0.0021712445,0.9191502,0.0001299533,0.00006769963,6.049411e-7,0.07446118,0.00006213338,0.000031661857,0.00026505953,0.0008355734,0.00013350489],"about_ca_topic_score_codex":0.019529935,"about_ca_topic_score_gemma":0.04929197,"teacher_disagreement_score":0.040995084,"about_ca_system_score_codex":0.00031058857,"about_ca_system_score_gemma":0.00026254318,"threshold_uncertainty_score":0.99993014},"labels":[],"label_agreement":null},{"id":"W6923569397","doi":"10.14288/1.0416463","title":"A mesoscopic cycling energy modelling approach based on emissions modelling principles","year":2024,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mesoscopic physics; Cycling; Work (physics); Key (lock); Mode of transport; Energy (signal processing); Mathematical model","score_opus":0.03224949524976159,"score_gpt":0.22069267278422927,"score_spread":0.18844317753446768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6923569397","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6599904,0.00033423366,0.32165542,0.00009752377,0.00012834056,0.00012076818,0.000045187164,0.00019183205,0.017436303],"genre_scores_gemma":[0.99162287,0.00012579869,0.0060304273,0.000032617256,0.00007790794,5.9282314e-7,0.000025199257,0.00001530347,0.0020692782],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985059,0.00007910361,0.00015921093,0.0005204672,0.0004227588,0.00031258358],"domain_scores_gemma":[0.9993365,0.000092078946,0.00006016558,0.00022075971,0.0001121239,0.00017838109],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041776907,0.000054708053,0.0002185368,0.00007218959,0.0007589927,0.00023393179,0.00037923458,0.00015488736,0.0001151176],"category_scores_gemma":[0.000013304291,0.00016685927,0.00018247795,0.00046489117,0.00027953708,0.00037931584,0.000032773736,0.00018815562,0.0000034444695],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003330688,0.0007234296,0.015404983,0.000582291,0.00010586471,0.00028168262,0.006846048,0.750252,0.00006332695,0.0006368548,0.0007186487,0.22435154],"study_design_scores_gemma":[0.0002379478,0.000020785106,0.016549882,0.00051517243,0.000053344495,4.822591e-7,0.0025231072,0.9759213,8.6358034e-7,0.001309336,0.0026464413,0.00022138891],"about_ca_topic_score_codex":0.21247466,"about_ca_topic_score_gemma":0.093740046,"teacher_disagreement_score":0.3316325,"about_ca_system_score_codex":0.00011344169,"about_ca_system_score_gemma":0.00034200473,"threshold_uncertainty_score":0.92279685},"labels":[],"label_agreement":null},{"id":"W6923648417","doi":"10.14288/1.0438571","title":"Microscopic agent-based modeling and simulation of cyclists on off-street paths","year":2024,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Overtaking; Microsimulation; Representation (politics); Autoregressive model; Trajectory; Imitation; Simulation modeling; Position (finance)","score_opus":0.01631771998361986,"score_gpt":0.2378399375658623,"score_spread":0.22152221758224244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6923648417","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973182,0.00035407685,0.0011594035,0.000049727303,0.00013022953,0.00013600319,0.0001190332,0.0000496089,0.0006836799],"genre_scores_gemma":[0.99956554,0.000050948238,0.00011084766,0.000013264675,0.000019925817,1.1041343e-7,0.00001300894,0.0000049226446,0.00022144227],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9993006,0.000041758325,0.00009606829,0.00023877116,0.00019871855,0.00012406986],"domain_scores_gemma":[0.99966383,0.000055508157,0.000043382104,0.000099765646,0.00007539276,0.000062129315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019338212,0.000026419364,0.00013318262,0.000035169072,0.0001989468,0.00007190045,0.00012555333,0.00007819953,0.00006447329],"category_scores_gemma":[0.000021497466,0.00008497636,0.00006842261,0.00019223086,0.00025343755,0.00023506138,0.000015081535,0.00006868741,0.0000018597764],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027934915,0.00024077397,0.38170785,0.00055399444,0.00004303917,0.00011262279,0.0032700321,0.008348823,0.0005036702,0.0000135984865,0.00031397314,0.6048637],"study_design_scores_gemma":[0.000260064,0.00003064901,0.9304946,0.0003874461,0.000033028555,8.059406e-8,0.0012429538,0.066991195,0.0000018293695,0.0002787596,0.00018282131,0.00009658239],"about_ca_topic_score_codex":0.13361138,"about_ca_topic_score_gemma":0.4554306,"teacher_disagreement_score":0.6047671,"about_ca_system_score_codex":0.000043715507,"about_ca_system_score_gemma":0.00010754109,"threshold_uncertainty_score":0.872158},"labels":[],"label_agreement":null},{"id":"W6923716505","doi":"10.14288/1.0441461","title":"Promoting sustainable and equitable access to parks : a study of transit-to-parks initiatives and user perceptions","year":2024,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sustainability; Equity (law); Sustainable transport; Recreation; Public transport; Transportation planning; Sustainable development; Urban planning","score_opus":0.016488581490339115,"score_gpt":0.2625338951766676,"score_spread":0.24604531368632848,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6923716505","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965451,0.00013830325,0.0003604266,0.00032296035,0.00003817568,0.00085623574,0.000055645873,0.000055165576,0.0016279925],"genre_scores_gemma":[0.9989884,0.0000398412,0.000096624295,0.000019732634,0.000020185527,0.0000025928684,0.0000027905212,0.0000078747535,0.00082197145],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988198,0.00009646813,0.00013059279,0.0004028772,0.00023336307,0.00031689208],"domain_scores_gemma":[0.9993976,0.00006361585,0.000038734503,0.000116114024,0.00019180853,0.00019215416],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054413493,0.000044141336,0.0002331468,0.00008393755,0.0006657691,0.00040080745,0.00026069026,0.00006684008,0.00014314163],"category_scores_gemma":[0.000038712573,0.00012308765,0.000041531835,0.0006780794,0.0002802398,0.001412158,0.00014984231,0.00010793166,0.0000010433423],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002088989,0.00043074854,0.768511,0.00050556584,0.00007003975,0.00015008185,0.1589161,0.0000068981335,0.0001366561,0.000021982662,0.0005669672,0.07066308],"study_design_scores_gemma":[0.00027396926,0.00014720291,0.8492134,0.00014749105,0.000058052294,7.9839754e-7,0.14960974,0.00002530272,4.901686e-7,0.00018777841,0.00022305937,0.00011271794],"about_ca_topic_score_codex":0.24136128,"about_ca_topic_score_gemma":0.68162274,"teacher_disagreement_score":0.44026148,"about_ca_system_score_codex":0.00005172348,"about_ca_system_score_gemma":0.00013865957,"threshold_uncertainty_score":0.7636906},"labels":[],"label_agreement":null},{"id":"W6926550314","doi":"10.25439/rmt.27346953","title":"2112- Imagining the Future","year":2024,"lang":"en","type":"other","venue":"RMIT Research Repository (RMIT University Library)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Dystopia; Exhibition; Theme (computing); Vision; Narrative; Relation (database); The arts; Perspective (graphical)","score_opus":0.02446685306950669,"score_gpt":0.29958273656065076,"score_spread":0.2751158834911441,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6926550314","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0007685119,0.006664238,0.0000042464935,0.0074592563,0.0015321115,0.0005802701,0.00004930206,0.00085457717,0.9820875],"genre_scores_gemma":[0.014062549,0.00077369175,0.000091888855,0.000047907164,0.0049379608,0.0000026834923,0.000026116764,0.00024806935,0.9798091],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9957645,0.0010885531,0.0001844763,0.00081669976,0.0013378365,0.0008079377],"domain_scores_gemma":[0.99843997,0.00017652001,0.000109001296,0.00083630567,0.00008596891,0.0003522592],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007141853,0.000276856,0.0003027921,0.00058046804,0.0014472477,0.00068391726,0.0021704545,0.00055207004,0.0034079864],"category_scores_gemma":[0.000022735785,0.00022633899,0.0002900508,0.0015118796,0.0017037645,0.0008300806,0.0004126303,0.0018456139,0.0006682255],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024362858,0.000042925178,0.0075337635,0.00013001237,0.00010343259,0.0009042931,0.0020564205,5.6957717e-8,0.0000055680093,0.0147400005,0.9735788,0.0008803676],"study_design_scores_gemma":[0.000114219074,0.000018856017,0.0011039494,0.00021620166,0.000052526048,9.4479776e-7,0.008103305,0.0000019232466,0.00003146054,0.0006567049,0.9894416,0.00025831806],"about_ca_topic_score_codex":0.00976058,"about_ca_topic_score_gemma":0.0034685927,"teacher_disagreement_score":0.015862795,"about_ca_system_score_codex":0.00020628708,"about_ca_system_score_gemma":0.0013651885,"threshold_uncertainty_score":0.9998527},"labels":[],"label_agreement":null},{"id":"W6927797007","doi":"10.34961/researchrepository-ul.28955375.v1","title":"Understanding urban climate-resilient cyclists: A solution to reducing individual motorized transport","year":2025,"lang":"en","type":"article","venue":"University of Limerick Institutional Repository (University of Limerick)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cycling; Climate change; Air pollution; Resilience (materials science); Greenhouse gas; Natural disaster; Psychological resilience; Urbanization","score_opus":0.037828883855703495,"score_gpt":0.24476753507443358,"score_spread":0.2069386512187301,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6927797007","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89947367,0.00014332312,0.047089323,0.00057324796,0.0006354242,0.0004552859,0.00009005368,0.00012332629,0.051416345],"genre_scores_gemma":[0.99490356,0.00008400727,0.003056882,0.000028254237,0.000052381267,1.1924432e-7,0.00004320138,0.0000056426006,0.001825966],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99792606,0.00015983317,0.00028734253,0.00051393185,0.0007062109,0.00040661768],"domain_scores_gemma":[0.99877477,0.000104677936,0.0003252054,0.00029352968,0.00026497088,0.00023687477],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0004786799,0.00019227857,0.00042629015,0.0003960953,0.0027503506,0.00001669806,0.0007281421,0.0001928426,0.00013654522],"category_scores_gemma":[0.000032024676,0.00027843547,0.00030686674,0.0012336457,0.0017981698,0.00074358867,0.00012656864,0.0002078198,0.00000789686],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008321065,0.0028235295,0.63577986,0.00076287484,0.001768647,0.00065573986,0.10872105,0.004644653,0.07279573,0.1576624,0.00478767,0.0012767639],"study_design_scores_gemma":[0.0043464457,0.0006400289,0.73919636,0.0011849434,0.0016655202,0.0000062228487,0.16838466,0.0004060035,0.0018848677,0.0003955174,0.080542676,0.0013467605],"about_ca_topic_score_codex":0.021240773,"about_ca_topic_score_gemma":0.0012331869,"teacher_disagreement_score":0.15726689,"about_ca_system_score_codex":0.0009108928,"about_ca_system_score_gemma":0.0012069714,"threshold_uncertainty_score":0.9999668},"labels":[],"label_agreement":null},{"id":"W6929328071","doi":"10.48336/j9yt-6562","title":"Finite element analysis of hollow structural sections subject to torsion and combined loading","year":2021,"lang":"en","type":"article","venue":"Memorial University Research Repository (Memorial University)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Torsion (gastropod); Steel design; Finite element method; Limit state design; Building code","score_opus":0.03129249993069705,"score_gpt":0.29415121518336423,"score_spread":0.2628587152526672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6929328071","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9741844,0.0000159372,0.0002698083,0.00020096579,0.0023572156,0.00036133936,0.000056504436,0.00006394725,0.022489864],"genre_scores_gemma":[0.98497236,0.000036696863,0.0001903054,0.0000051867487,0.000804697,1.5914611e-7,0.000035643407,0.000007698327,0.013947244],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.996311,0.0012352004,0.00023346036,0.0006618393,0.0010141301,0.0005443502],"domain_scores_gemma":[0.99750274,0.0004670649,0.00011850789,0.00040543242,0.0010223907,0.00048387598],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0010157041,0.00016457474,0.0004511373,0.001376513,0.0024873135,0.00013655012,0.0005993505,0.0002005593,0.00019518002],"category_scores_gemma":[0.00030332163,0.00020504576,0.00028518628,0.0063854083,0.00056601845,0.0006361958,0.00035033104,0.00038161306,0.0000034891043],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.011970229,0.0009839346,0.81543905,0.00022430927,0.0047697374,0.004661806,0.03929302,0.0033989882,0.064868346,0.05023199,0.0029086953,0.0012499231],"study_design_scores_gemma":[0.01637442,0.0025684824,0.38464302,0.00029978008,0.0073354617,0.000005646825,0.16107991,0.0031198424,0.10201454,0.0009692632,0.31874344,0.0028461928],"about_ca_topic_score_codex":0.012882265,"about_ca_topic_score_gemma":0.015180775,"teacher_disagreement_score":0.43079603,"about_ca_system_score_codex":0.00083509635,"about_ca_system_score_gemma":0.00095644797,"threshold_uncertainty_score":0.9988113},"labels":[],"label_agreement":null},{"id":"W6930692127","doi":"10.5281/zenodo.14231533","title":"15min City Score Toolkit – Urban Walkability Analytics","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Transport Canada","funders":"","keywords":"Metric (unit); Walkability; Analytics; Flexibility (engineering); 3D city models; Urban planning; Architecture; Plug-in","score_opus":0.0665517121734597,"score_gpt":0.3001618768666537,"score_spread":0.23361016469319398,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6930692127","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.54020566,0.00052716327,0.0026643588,0.0030513466,0.00046780976,0.000692294,0.00032641197,0.002736532,0.44932845],"genre_scores_gemma":[0.9953305,0.00005830019,0.0000702776,0.00006962852,0.0003686309,2.6267001e-8,0.00040666663,0.00039164725,0.0033042945],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979143,0.00033232445,0.00026742078,0.00051524374,0.0005430413,0.00042768006],"domain_scores_gemma":[0.998916,0.000048785685,0.000045313147,0.00041192473,0.0003349704,0.00024306386],"candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0017436522,0.0001256386,0.00014370178,0.00014783247,0.0027621572,0.0015249508,0.0009811264,0.00009434151,0.02878966],"category_scores_gemma":[0.00067006657,0.00012650498,0.00010127644,0.0010741564,0.0005356355,0.0005524969,0.00030426073,0.0003319055,0.0029537356],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014925175,0.000868029,0.011732832,0.0006995431,0.00019945015,0.00012892117,0.030381285,0.00002346726,0.00086139125,0.05913122,0.6094341,0.28639048],"study_design_scores_gemma":[0.00012102406,0.00004764563,0.012504143,0.000031288128,0.000022983233,0.000001965322,0.00048166743,0.00017118125,0.00008704452,0.0015122289,0.98485875,0.00016006087],"about_ca_topic_score_codex":0.0002645003,"about_ca_topic_score_gemma":0.000024031617,"teacher_disagreement_score":0.45512488,"about_ca_system_score_codex":0.00029008876,"about_ca_system_score_gemma":0.000021785148,"threshold_uncertainty_score":0.99951154},"labels":[],"label_agreement":null},{"id":"W6936058089","doi":"10.57708/bzvtutbo2txkrtaitofy2og","title":"Biking in Bolzano/Bozen, Italy versus London, Ontario","year":2023,"lang":"en","type":"article","venue":"Eurac Research Blogs","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cycling; Work (physics)","score_opus":0.24589177524638287,"score_gpt":0.47221482077443866,"score_spread":0.2263230455280558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6936058089","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9178073,0.00014115337,0.000001355967,0.002236948,0.00044380716,0.00031141532,0.0000036957495,0.0001400274,0.0789143],"genre_scores_gemma":[0.97956574,0.00008469177,0.000026426429,0.000025243018,0.00022613147,0.00003077309,0.000017986067,0.000013779746,0.02000923],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99655247,0.00043044117,0.0002662256,0.00044164254,0.0012404355,0.0010687943],"domain_scores_gemma":[0.9985391,0.00071837974,0.000034776825,0.00031696388,0.00018405143,0.00020673925],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0052545103,0.00010280731,0.00017324137,0.0004158916,0.00066084106,0.0001956539,0.0006651792,0.000121932455,0.0011723586],"category_scores_gemma":[0.0008767978,0.00010011673,0.0000776217,0.0024558175,0.00051330356,0.00047264408,0.00012391394,0.0007686912,0.0008358036],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015789624,0.00008947547,0.9684573,0.000015172768,0.000011262722,0.00023267118,0.015924947,0.0000049078185,0.00019419004,0.0014860918,0.008244126,0.0051819724],"study_design_scores_gemma":[0.0007040521,0.00005661022,0.8457078,0.00002670224,0.000002865269,6.882416e-8,0.0025267282,0.0000148174795,0.00010645621,0.003145066,0.14756851,0.00014033305],"about_ca_topic_score_codex":0.26555577,"about_ca_topic_score_gemma":0.8122061,"teacher_disagreement_score":0.5466503,"about_ca_system_score_codex":0.00045325555,"about_ca_system_score_gemma":0.0008424086,"threshold_uncertainty_score":0.9999422},"labels":[],"label_agreement":null},{"id":"W6938775720","doi":"10.60692/3dc6p-bny54","title":"Multi-stakeholder dialogue on formal and informal forms of public transport in Harare, Zimbabwe: Convergence or divergence perspective","year":2014,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Transport Canada","funders":"","keywords":"Public transport; Dilemma; Sustainable transport; Sustainability; Divergence (linguistics); Public policy; Transport policy; Balance (ability); Perspective (graphical)","score_opus":0.09255977301009063,"score_gpt":0.26723834297416504,"score_spread":0.1746785699640744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6938775720","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98224247,0.0000030062156,0.0092702685,0.00004476884,0.000251841,0.00055439066,0.00012767868,0.00008534519,0.0074202297],"genre_scores_gemma":[0.99959755,0.0000013015945,0.00011465572,0.00006639055,0.000036618887,0.00004409266,0.000021706408,0.000005686082,0.00011200799],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99800867,0.000079614845,0.00079336116,0.00018638681,0.0004825642,0.00044939396],"domain_scores_gemma":[0.9989609,0.00002123477,0.00034407034,0.00022463585,0.00028399957,0.00016514055],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013132023,0.00018646213,0.00031488837,0.00027810546,0.00035869156,0.0000806449,0.0002889179,0.00016087801,0.00006953832],"category_scores_gemma":[0.000083871346,0.00013833382,0.00007123894,0.00044432317,0.00024203713,0.003879829,0.000025969279,0.000142535,0.00003689226],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010066794,0.0000075938683,0.81415033,0.0001534357,0.000009574142,9.4236833e-7,0.18164545,0.000017163255,3.258508e-7,0.0034163098,0.0000018871988,0.0004963329],"study_design_scores_gemma":[0.0012434776,0.00007479564,0.9313484,0.000086531196,0.0000103586835,8.5211536e-7,0.06597877,0.0007777115,0.000074768184,0.000004466144,0.00020340158,0.00019648326],"about_ca_topic_score_codex":0.00060626375,"about_ca_topic_score_gemma":0.000727877,"teacher_disagreement_score":0.11719806,"about_ca_system_score_codex":0.00011923003,"about_ca_system_score_gemma":0.00012450323,"threshold_uncertainty_score":0.56410897},"labels":[],"label_agreement":null},{"id":"W6939038788","doi":"10.60692/55wc0-19w65","title":"Active streets for children: The case of the Bogotá Ciclovía","year":2019,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Children's Hospital of Eastern Ontario","funders":"","keywords":"Recreation; sed; Physical activity; Body mass index; Multilevel model; Injury prevention; Sedentary lifestyle; Names of the days of the week","score_opus":0.022876724791947314,"score_gpt":0.2436622411022819,"score_spread":0.2207855163103346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6939038788","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99146914,0.0000015958615,0.00030060956,0.0001244251,0.00034315168,0.0012123092,0.00020765612,0.000034769993,0.0063063474],"genre_scores_gemma":[0.99961126,2.3968195e-8,0.000012102913,0.00006142433,0.00006536942,0.000031835458,0.0000049923856,0.0000028663696,0.00021014201],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99922884,0.00007055568,0.00029988884,0.000075343145,0.0001766714,0.0001487079],"domain_scores_gemma":[0.99922436,0.00002022713,0.00028548643,0.00029650415,0.00014360674,0.000029783205],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048024554,0.00007248137,0.00011330627,0.000029061548,0.0003541624,0.00006812573,0.00027085742,0.000064868625,0.000033393844],"category_scores_gemma":[0.000017843864,0.00003750077,0.00010884537,0.00016648573,0.00008775167,0.0005286463,0.000020484744,0.000057867244,0.000041315336],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028471959,0.0000015704244,0.7880602,0.00007810128,0.00002450569,2.7021642e-7,0.20987938,0.00001239662,3.2498738e-7,0.0011719002,0.000059937942,0.0006829741],"study_design_scores_gemma":[0.0006521295,0.00002078735,0.86857015,0.00006082612,0.000039722432,0.0000069769585,0.1293423,0.00015716064,0.0006221263,0.000015258474,0.0003940612,0.000118512355],"about_ca_topic_score_codex":0.00044562542,"about_ca_topic_score_gemma":0.00006356642,"teacher_disagreement_score":0.08053707,"about_ca_system_score_codex":0.000049651502,"about_ca_system_score_gemma":0.00006773664,"threshold_uncertainty_score":0.27239665},"labels":[],"label_agreement":null},{"id":"W6939201484","doi":"10.60692/jgqdn-twe91","title":"Active streets for children: The case of the Bogotá Ciclovía","year":2019,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Children's Hospital of Eastern Ontario","funders":"","keywords":"Recreation; sed; Physical activity; Body mass index; Multilevel model; Injury prevention; Sedentary lifestyle; Names of the days of the week","score_opus":0.022876724791947314,"score_gpt":0.2436622411022819,"score_spread":0.2207855163103346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6939201484","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99146914,0.0000015958615,0.00030060956,0.0001244251,0.00034315168,0.0012123092,0.00020765612,0.000034769993,0.0063063474],"genre_scores_gemma":[0.99961126,2.3968195e-8,0.000012102913,0.00006142433,0.00006536942,0.000031835458,0.0000049923856,0.0000028663696,0.00021014201],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99922884,0.00007055568,0.00029988884,0.000075343145,0.0001766714,0.0001487079],"domain_scores_gemma":[0.99922436,0.00002022713,0.00028548643,0.00029650415,0.00014360674,0.000029783205],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048024554,0.00007248137,0.00011330627,0.000029061548,0.0003541624,0.00006812573,0.00027085742,0.000064868625,0.000033393844],"category_scores_gemma":[0.000017843864,0.00003750077,0.00010884537,0.00016648573,0.00008775167,0.0005286463,0.000020484744,0.000057867244,0.000041315336],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028471959,0.0000015704244,0.7880602,0.00007810128,0.00002450569,2.7021642e-7,0.20987938,0.00001239662,3.2498738e-7,0.0011719002,0.000059937942,0.0006829741],"study_design_scores_gemma":[0.0006521295,0.00002078735,0.86857015,0.00006082612,0.000039722432,0.0000069769585,0.1293423,0.00015716064,0.0006221263,0.000015258474,0.0003940612,0.000118512355],"about_ca_topic_score_codex":0.00044562542,"about_ca_topic_score_gemma":0.00006356642,"teacher_disagreement_score":0.08053707,"about_ca_system_score_codex":0.000049651502,"about_ca_system_score_gemma":0.00006773664,"threshold_uncertainty_score":0.27239665},"labels":[],"label_agreement":null},{"id":"W6939209693","doi":"10.6084/m9.figshare.12299813","title":"Additional file 3 of Association between time-weighted activity space-based exposures to fast food outlets and fast food consumption among young adults in urban Canada","year":2020,"lang":"en","type":"article","venue":"Figshare","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo; University of Toronto","funders":"","keywords":"Young adult; Sensitivity (control systems); Food consumption; Consumption (sociology); Association (psychology)","score_opus":0.02244231142533711,"score_gpt":0.2231960052614838,"score_spread":0.2007536938361467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6939209693","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34997392,0.0000074801305,4.6609495e-7,0.00019688444,0.000008940095,0.00022848447,0.64925754,0.000022448317,0.0003038399],"genre_scores_gemma":[0.71736014,9.438715e-8,0.00002493577,0.000048799106,0.00009999567,0.00010829477,0.28229237,0.0000059090175,0.00005947129],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9987594,0.000104056315,0.000188905,0.0002705129,0.00045314993,0.00022398985],"domain_scores_gemma":[0.99862874,0.00074600935,0.00020880178,0.000074024436,0.0001293848,0.00021303847],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000055397926,0.000112250396,0.00019989151,0.000042175263,0.00014100187,0.000039686707,0.00013319518,0.00012029802,0.61442685],"category_scores_gemma":[0.0017270942,0.00012456646,0.00004154032,0.00026072064,0.000018542305,0.00022061326,0.000022457403,0.00013627461,0.00004112015],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017349039,0.000018772758,0.31811973,0.00005753861,0.000014252046,0.000001139084,0.000792717,0.0000014374738,0.0000030846754,3.250261e-7,0.680702,0.0002717181],"study_design_scores_gemma":[0.00026844474,0.000078736215,0.971457,0.00044926332,0.0000072027115,9.660968e-9,0.00011926872,0.00006195978,0.00015295744,0.0000042932083,0.027260216,0.00014064806],"about_ca_topic_score_codex":0.028771032,"about_ca_topic_score_gemma":0.7371617,"teacher_disagreement_score":0.70839065,"about_ca_system_score_codex":0.0002633405,"about_ca_system_score_gemma":0.000537344,"threshold_uncertainty_score":0.9776965},"labels":[],"label_agreement":null},{"id":"W6939735575","doi":"10.6084/m9.figshare.29288418.v1","title":"Additional file 7 of Cycling infrastructure as a determinant of cycling for recreation and transportation in Montréal, Canada: a natural experiment using the longitudinal national population health survey","year":2025,"lang":"en","type":"article","venue":"Figshare","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Health Canada; Queen's University; Université de Sherbrooke; McGill University; Public Health Agency of Canada; University of Ottawa","funders":"","keywords":"Cycling; Recreation; Population; Natural (archaeology); Population health","score_opus":0.04123409996224962,"score_gpt":0.3430209110280793,"score_spread":0.30178681106582966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6939735575","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22002171,0.00020197552,0.000005143667,0.000050362454,0.0000252258,0.00031931617,0.7793537,0.0000036928586,0.000018904964],"genre_scores_gemma":[0.6532172,0.0000011165758,0.00026349473,0.000022987891,0.000017350325,0.00006872786,0.34639472,0.0000019528259,0.0000124321805],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99916387,0.00006111072,0.00030110226,0.00013161662,0.00024020951,0.00010212008],"domain_scores_gemma":[0.99868405,0.00082291686,0.00023323995,0.00004014497,0.00019882289,0.000020833684],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00014860072,0.00005997882,0.00012765027,0.0000512607,0.0002012848,0.0000121901885,0.000063531865,0.000043820954,0.048468094],"category_scores_gemma":[0.0010059646,0.00005216027,0.000029640012,0.00020601117,0.00001580905,0.0001362732,0.0000035207368,0.00006076151,6.34512e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025912255,0.00009029656,0.15238567,0.00058761775,0.00004877131,0.0000015193019,0.004541754,0.0021972044,0.00006530183,0.0001542254,0.8330516,0.0066168928],"study_design_scores_gemma":[0.00011876286,0.000007830397,0.9949889,0.00091402314,0.0000028584243,6.559649e-8,0.00037406487,0.0014705482,0.00004473863,0.00019365999,0.0018380022,0.000046525853],"about_ca_topic_score_codex":0.4277617,"about_ca_topic_score_gemma":0.91810083,"teacher_disagreement_score":0.84260327,"about_ca_system_score_codex":0.000213183,"about_ca_system_score_gemma":0.0011149418,"threshold_uncertainty_score":0.95240176},"labels":[],"label_agreement":null},{"id":"W6939795621","doi":"10.6084/m9.figshare.24770690.v1","title":"Additional file 2 of Prioritizing a research agenda on built environments and physical activity: a twin panel Delphi consensus process with researchers and knowledge users","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; Dalhousie University; Research Institute for Aging; University of Waterloo; Parachute; University of Victoria; University of Lethbridge; University of New Brunswick; University of Saskatchewan; Alberta Health Services; University of Toronto; Carleton University; University of Calgary; Ottawa Public Health; Children's Hospital of Eastern Ontario; Statistics Canada; Infrastructure Canada; BC Centre for Disease Control; University of British Columbia; Simon Fraser University; Public Health Agency of Canada; University of Ottawa","funders":"","keywords":"Process (computing); Delphi method; Table (database); Delphi; Built environment","score_opus":0.2937580828971714,"score_gpt":0.4331353505747205,"score_spread":0.1393772676775491,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6939795621","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25540578,0.000089679685,2.5883086e-8,0.0001064711,0.000003887355,0.000247336,0.74043417,0.000022588236,0.0036900572],"genre_scores_gemma":[0.95810413,0.0000028115387,0.000020889496,0.0000056902168,0.0001059548,0.00030404958,0.040290598,0.000013202596,0.0011526459],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986155,0.00014979889,0.00007012485,0.00034757264,0.000533593,0.000283397],"domain_scores_gemma":[0.99712044,0.0025584616,0.000025435778,0.00009540816,0.00006892123,0.00013134217],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00017212579,0.00008799013,0.00011847728,0.000084593434,0.0002794076,0.000098930395,0.000115356204,0.00006600522,0.3425464],"category_scores_gemma":[0.0011428493,0.00007490459,0.000026098065,0.00034159597,0.00030239156,0.00016098835,0.000048193862,0.00033622136,0.00008757924],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008763611,0.00017683441,0.00017383827,0.0005404947,0.00003156225,0.00006448012,0.010256783,3.769606e-7,0.000058870817,0.000012054134,0.9792405,0.0093565695],"study_design_scores_gemma":[0.0003798413,0.00032666998,0.075191826,0.007855703,0.0000147024475,0.0000024065687,0.007408847,0.00052203535,0.00036205762,0.0004128301,0.90719223,0.00033085363],"about_ca_topic_score_codex":0.000080155995,"about_ca_topic_score_gemma":0.0003830849,"teacher_disagreement_score":0.70269835,"about_ca_system_score_codex":0.00006393024,"about_ca_system_score_gemma":0.00051454466,"threshold_uncertainty_score":0.6580546},"labels":[],"label_agreement":null},{"id":"W6939802044","doi":"10.6084/m9.figshare.29288415","title":"Additional file 6 of Cycling infrastructure as a determinant of cycling for recreation and transportation in Montréal, Canada: a natural experiment using the longitudinal national population health survey","year":2025,"lang":"en","type":"article","venue":"Figshare","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Health Canada; Queen's University; Université de Sherbrooke; McGill University; Public Health Agency of Canada; University of Ottawa","funders":"","keywords":"Cycling; Recreation; Population; Natural (archaeology); Population health","score_opus":0.04119444100452729,"score_gpt":0.3429641096643422,"score_spread":0.3017696686598149,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6939802044","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21941349,0.00020267199,0.0000051556767,0.00005045808,0.000025261206,0.00032019743,0.7799599,0.000003697901,0.000019137558],"genre_scores_gemma":[0.6544131,0.0000011152192,0.00026390445,0.000023024817,0.000017377424,0.00006896201,0.34519807,0.0000019558163,0.00001251746],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99916387,0.00006112525,0.00030110352,0.00013160682,0.00024020758,0.00010211313],"domain_scores_gemma":[0.99868345,0.00082349696,0.00023325186,0.000040143954,0.00019883439,0.000020832911],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00014860764,0.00005997575,0.00012764781,0.000051256833,0.00020125133,0.000012189855,0.00006353064,0.000043820026,0.04869798],"category_scores_gemma":[0.0010149921,0.000052157928,0.000029639528,0.00020601958,0.000015807858,0.00013626895,0.0000035206408,0.00006076097,6.345635e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002582092,0.00008994844,0.15099382,0.00057874905,0.0000483882,0.0000015067891,0.0045125494,0.0021511398,0.00006457078,0.00015449098,0.8346161,0.0065304753],"study_design_scores_gemma":[0.00011872627,0.000007813728,0.9950057,0.0009054412,0.0000028562654,6.5515934e-8,0.00037449773,0.0014536574,0.000044276425,0.00019358099,0.0018468635,0.00004648932],"about_ca_topic_score_codex":0.42977086,"about_ca_topic_score_gemma":0.9191671,"teacher_disagreement_score":0.8440119,"about_ca_system_score_codex":0.00021291958,"about_ca_system_score_gemma":0.001114796,"threshold_uncertainty_score":0.9521716},"labels":[],"label_agreement":null},{"id":"W6939817383","doi":"10.6084/m9.figshare.29288430","title":"Additional file 11 of Cycling infrastructure as a determinant of cycling for recreation and transportation in Montréal, Canada: a natural experiment using the longitudinal national population health survey","year":2025,"lang":"en","type":"article","venue":"Figshare","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Health Canada; Queen's University; Université de Sherbrooke; McGill University; Public Health Agency of Canada; University of Ottawa","funders":"","keywords":"Cycling; Recreation; Population; Natural (archaeology); Population health","score_opus":0.042595703825061004,"score_gpt":0.34442621250179273,"score_spread":0.3018305086767317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6939817383","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40466446,0.00021329307,0.0000069111697,0.000060351744,0.000029342102,0.0003357522,0.59467256,0.0000038912744,0.000013449165],"genre_scores_gemma":[0.7272531,0.0000012859012,0.00026392852,0.00002518159,0.000019593199,0.000062444815,0.27236062,0.0000022150039,0.000011642033],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9991323,0.000063776555,0.00031248952,0.00013657866,0.00024891624,0.00010594993],"domain_scores_gemma":[0.9988375,0.0006592593,0.00023651289,0.000041729083,0.00020326405,0.000021768252],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00016894974,0.000062408864,0.00013239696,0.00005311794,0.00020778007,0.000012700902,0.000065893815,0.00004531051,0.02115384],"category_scores_gemma":[0.0008283172,0.00005433568,0.000030781077,0.00020956992,0.000016321912,0.00014350511,0.0000036632969,0.00005718943,5.0364015e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002844266,0.00012220968,0.4603766,0.00078040623,0.000055053053,0.0000020828468,0.006295989,0.0033371707,0.00009621376,0.00029186002,0.5220824,0.006275623],"study_design_scores_gemma":[0.00013508303,0.0000073353676,0.99556303,0.0008116018,0.0000032033806,6.958077e-8,0.00040264675,0.0014987431,0.00005675775,0.00019070372,0.0012830715,0.000047783138],"about_ca_topic_score_codex":0.5263837,"about_ca_topic_score_gemma":0.9538363,"teacher_disagreement_score":0.5351864,"about_ca_system_score_codex":0.00021684973,"about_ca_system_score_gemma":0.0010719952,"threshold_uncertainty_score":0.979741},"labels":[],"label_agreement":null},{"id":"W6939835674","doi":"10.6084/m9.figshare.27012255.v1","title":"Additional file 1 of The association between neighbourhood walkability and blood lipids: a Canadian population study","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Ottawa; Health Canada","funders":"","keywords":"Walkability; Neighbourhood (mathematics); Association (psychology); Population; Population based study; Population study","score_opus":0.02027244918028589,"score_gpt":0.26271193230442275,"score_spread":0.24243948312413685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6939835674","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.046529952,0.000018877283,2.935084e-9,0.00014465455,0.000032777294,0.00027322152,0.94727397,0.000029460161,0.005697095],"genre_scores_gemma":[0.71299887,6.489213e-8,0.0000034741477,0.000010920724,0.00019708223,0.000091000395,0.2861839,0.000003118565,0.0005115423],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9992156,0.000072087016,0.0001375576,0.00016471362,0.00027123067,0.00013877847],"domain_scores_gemma":[0.9988384,0.0008551186,0.00006145167,0.00008225485,0.000084396735,0.00007836196],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00012206421,0.000053733478,0.00008221083,0.00003243356,0.0002713515,0.0000868087,0.00012427777,0.00007877379,0.9600435],"category_scores_gemma":[0.0017736952,0.000043181903,0.000051660834,0.00028731057,0.000009747488,0.00020001418,0.000016254106,0.00010954442,0.00006441681],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[2.8795967e-7,0.00002254267,0.28955728,0.000025369236,0.000029119854,3.6497883e-7,0.0007894096,6.9624896e-8,6.5867056e-8,0.0000073163505,0.7080948,0.0014734034],"study_design_scores_gemma":[0.000028997616,0.000008947656,0.87870944,0.00021420914,0.000026532627,1.6745872e-8,0.00017485787,0.0000028040529,8.067637e-7,0.00024721998,0.1205415,0.00004467143],"about_ca_topic_score_codex":0.05421489,"about_ca_topic_score_gemma":0.4768494,"teacher_disagreement_score":0.95997906,"about_ca_system_score_codex":0.00015180836,"about_ca_system_score_gemma":0.00037579547,"threshold_uncertainty_score":0.9520832},"labels":[],"label_agreement":null},{"id":"W6939842521","doi":"10.6084/m9.figshare.29288421.v1","title":"Additional file 8 of Cycling infrastructure as a determinant of cycling for recreation and transportation in Montréal, Canada: a natural experiment using the longitudinal national population health survey","year":2025,"lang":"en","type":"article","venue":"Figshare","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Health Canada; Queen's University; Université de Sherbrooke; McGill University; Public Health Agency of Canada; University of Ottawa","funders":"","keywords":"Cycling; Recreation; Population; Natural (archaeology); Population health","score_opus":0.04120547774156119,"score_gpt":0.3429938637239842,"score_spread":0.301788385982423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6939842521","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22057357,0.0002020896,0.0000051471447,0.00005040838,0.000025218877,0.00031930258,0.77880156,0.0000036714043,0.000019022951],"genre_scores_gemma":[0.6543777,0.0000011055438,0.0002640288,0.000023025188,0.000017370567,0.00006888497,0.34523338,0.0000019533204,0.000012561312],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99916387,0.00006112417,0.00030109752,0.00013160179,0.00024016565,0.00010211529],"domain_scores_gemma":[0.9986834,0.0008235443,0.0002332523,0.00004014341,0.00019883635,0.000020832435],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00014860478,0.000059977338,0.00012764946,0.00005124835,0.00020127556,0.000012188778,0.00006352494,0.0000438204,0.049048733],"category_scores_gemma":[0.0010150414,0.00005215811,0.000029639798,0.00020590803,0.000015807822,0.000136254,0.0000035200171,0.00006075996,6.377459e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025684977,0.00008948463,0.15025933,0.0005781773,0.000048340276,0.0000015058744,0.0045007863,0.0021784585,0.000064126914,0.00015239864,0.8352628,0.0066077905],"study_design_scores_gemma":[0.000118735064,0.000007831349,0.99499965,0.00090669875,0.0000028580612,6.560548e-8,0.00037411167,0.001471361,0.00004509387,0.00019368959,0.0018333762,0.0000465185],"about_ca_topic_score_codex":0.42737153,"about_ca_topic_score_gemma":0.91802716,"teacher_disagreement_score":0.84474033,"about_ca_system_score_codex":0.00021317399,"about_ca_system_score_gemma":0.001115042,"threshold_uncertainty_score":0.95182055},"labels":[],"label_agreement":null},{"id":"W6939865133","doi":"10.6084/m9.figshare.29288412","title":"Additional file 5 of Cycling infrastructure as a determinant of cycling for recreation and transportation in Montréal, Canada: a natural experiment using the longitudinal national population health survey","year":2025,"lang":"en","type":"article","venue":"Figshare","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Health Canada; Queen's University; Université de Sherbrooke; McGill University; Public Health Agency of Canada; University of Ottawa","funders":"","keywords":"Cycling; Recreation; Population; Natural (archaeology); Population health","score_opus":0.04119809300281188,"score_gpt":0.34299357072203046,"score_spread":0.30179547771921855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6939865133","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22007716,0.00020184934,0.0000051379416,0.00005034917,0.00002522305,0.0003193617,0.7792983,0.0000036929305,0.000018905164],"genre_scores_gemma":[0.65392214,0.0000011158185,0.0002637876,0.000023008752,0.000017364397,0.000068844216,0.34568936,0.0000019543863,0.000012441605],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99916387,0.00006112298,0.0003010979,0.00013160483,0.00024020673,0.00010210428],"domain_scores_gemma":[0.9986836,0.0008233828,0.00023324645,0.000040143324,0.0001987967,0.000020831896],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00014860311,0.000059975162,0.00012764901,0.0000512577,0.00020128078,0.000012184826,0.000063525935,0.000043821896,0.04902699],"category_scores_gemma":[0.0010149536,0.000052155934,0.0000296414,0.00020600983,0.000015807049,0.00013625884,0.0000035205053,0.000060757044,6.333823e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002557546,0.00008910865,0.15049708,0.0005756168,0.000048125396,0.0000014992213,0.004476978,0.002165423,0.000064306434,0.00015253616,0.83517414,0.006499425],"study_design_scores_gemma":[0.00011864165,0.000007811733,0.99502397,0.00090562284,0.0000028555153,6.5542515e-8,0.0003739053,0.001460791,0.000044533648,0.0001926713,0.0018226446,0.00004647281],"about_ca_topic_score_codex":0.42763323,"about_ca_topic_score_gemma":0.91807204,"teacher_disagreement_score":0.8445269,"about_ca_system_score_codex":0.0002131517,"about_ca_system_score_gemma":0.0011146377,"threshold_uncertainty_score":0.9518423},"labels":[],"label_agreement":null},{"id":"W6940117705","doi":"10.6084/m9.figshare.29288415.v1","title":"Additional file 6 of Cycling infrastructure as a determinant of cycling for recreation and transportation in Montréal, Canada: a natural experiment using the longitudinal national population health survey","year":2025,"lang":"en","type":"article","venue":"Figshare","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Health Canada; Queen's University; Université de Sherbrooke; McGill University; Public Health Agency of Canada; University of Ottawa","funders":"","keywords":"Cycling; Recreation; Population; Natural (archaeology); Population health","score_opus":0.04119444100452729,"score_gpt":0.3429641096643422,"score_spread":0.3017696686598149,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6940117705","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21941349,0.00020267199,0.0000051556767,0.00005045808,0.000025261206,0.00032019743,0.7799599,0.000003697901,0.000019137558],"genre_scores_gemma":[0.6544131,0.0000011152192,0.00026390445,0.000023024817,0.000017377424,0.00006896201,0.34519807,0.0000019558163,0.00001251746],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99916387,0.00006112525,0.00030110352,0.00013160682,0.00024020758,0.00010211313],"domain_scores_gemma":[0.99868345,0.00082349696,0.00023325186,0.000040143954,0.00019883439,0.000020832911],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00014860764,0.00005997575,0.00012764781,0.000051256833,0.00020125133,0.000012189855,0.00006353064,0.000043820026,0.04869798],"category_scores_gemma":[0.0010149921,0.000052157928,0.000029639528,0.00020601958,0.000015807858,0.00013626895,0.0000035206408,0.00006076097,6.345635e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002582092,0.00008994844,0.15099382,0.00057874905,0.0000483882,0.0000015067891,0.0045125494,0.0021511398,0.00006457078,0.00015449098,0.8346161,0.0065304753],"study_design_scores_gemma":[0.00011872627,0.000007813728,0.9950057,0.0009054412,0.0000028562654,6.5515934e-8,0.00037449773,0.0014536574,0.000044276425,0.00019358099,0.0018468635,0.00004648932],"about_ca_topic_score_codex":0.42977086,"about_ca_topic_score_gemma":0.9191671,"teacher_disagreement_score":0.8440119,"about_ca_system_score_codex":0.00021291958,"about_ca_system_score_gemma":0.001114796,"threshold_uncertainty_score":0.9521716},"labels":[],"label_agreement":null},{"id":"W6945250689","doi":"10.25316/ir-15282","title":"Measuring community engagement: A case study of Livingston (Calgary, Alberta)","year":2020,"lang":"en","type":"other","venue":"VIURRSpace (Vancouver Island University)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Recreation; Baseline (sea); Active living; Physical activity; Community engagement; Community participation","score_opus":0.04576893154530261,"score_gpt":0.24955542218635776,"score_spread":0.20378649064105514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6945250689","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01887393,0.000057598325,0.000117732954,0.000044790948,0.0004704898,0.0008018952,0.000034070257,0.00016691769,0.9794326],"genre_scores_gemma":[0.4909364,0.000038987164,0.000043712716,0.0000134782795,0.00010227318,8.5104654e-7,8.867116e-7,0.00007759724,0.50878584],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975886,0.0010340242,0.00017579415,0.0003961248,0.0004730333,0.00033247322],"domain_scores_gemma":[0.99865174,0.00020961407,0.0003497958,0.00051937805,0.00006716457,0.00020229151],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00042375555,0.00030196412,0.0005362932,0.00039182656,0.00077713537,0.000034155764,0.00071870384,0.0002698004,0.0012428699],"category_scores_gemma":[0.00007866412,0.00033025804,0.00015534152,0.0008033122,0.0002606329,0.00018642543,0.00020722194,0.0007840463,0.000012362254],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014550344,0.002521056,0.017853003,0.00055790885,0.00076714525,0.004460896,0.21236941,0.000007692729,0.000008389427,0.00029441825,0.7596587,0.001355889],"study_design_scores_gemma":[0.0011477913,0.00018048023,0.00014214516,0.00015556256,0.00032839982,0.0000010095144,0.13695668,0.000005359003,0.0000036981546,0.000009916974,0.8606818,0.00038717207],"about_ca_topic_score_codex":0.46332124,"about_ca_topic_score_gemma":0.8529002,"teacher_disagreement_score":0.47206247,"about_ca_system_score_codex":0.0001557204,"about_ca_system_score_gemma":0.00022336353,"threshold_uncertainty_score":0.99991494},"labels":[],"label_agreement":null},{"id":"W6945363811","doi":"10.25384/sage.23911030","title":"sj-docx-1-usj-10.1177_00420980231186499 – Supplemental material for What might working from home mean for the geography of work and commuting in the Greater Golden Horseshoe, Canada?","year":2023,"lang":"en","type":"article","venue":"Sage Journals Data","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Human geography; Journey to work; Urban geography; Domestic work","score_opus":0.06929948164268221,"score_gpt":0.32150089199924653,"score_spread":0.2522014103565643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6945363811","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97700274,0.003756164,0.00006497791,0.0075664576,0.0007509681,0.0009451909,0.009861571,0.000017933127,0.000034003842],"genre_scores_gemma":[0.9964997,0.0011303356,0.0001603696,0.00018279428,0.0005714813,0.000036151887,0.001363906,0.000015197247,0.000040062238],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981018,0.00019739114,0.00047468854,0.0002978351,0.0004442841,0.00048402947],"domain_scores_gemma":[0.9981281,0.0009621439,0.00023298021,0.0005626405,0.00004313546,0.000070982955],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00339606,0.00014611303,0.00026152105,0.00007426809,0.0008250723,0.0006438104,0.0015647382,0.00006480446,0.0018839947],"category_scores_gemma":[0.000057133668,0.00009054427,0.00008238632,0.0004885586,0.00020454681,0.000714161,0.00019536361,0.00016077819,4.489608e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014633486,0.000029689523,0.94975775,0.000023760294,0.00011649549,0.000011912828,0.006696918,0.0000014894963,0.000050765557,0.000008173536,0.019951928,0.023204768],"study_design_scores_gemma":[0.0011516487,0.000029920811,0.88109016,0.0006806338,0.00019986082,6.850439e-7,0.032948423,0.000056688106,0.0001510639,0.0017130935,0.08170072,0.0002771031],"about_ca_topic_score_codex":0.17143057,"about_ca_topic_score_gemma":0.7410429,"teacher_disagreement_score":0.5696123,"about_ca_system_score_codex":0.000038673217,"about_ca_system_score_gemma":0.00013228809,"threshold_uncertainty_score":0.99902844},"labels":[],"label_agreement":null},{"id":"W6945550476","doi":"10.25316/ir-17047","title":"Youth and Public Transit: A Knowledge Synthesis of Recent Publications","year":2021,"lang":"en","type":"article","venue":"VIUSpace (Vancouver Island University Library)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Public transport; Equity (law); Work (physics); Transit (satellite); Focus group; Order (exchange); Transit system","score_opus":0.023243144800696086,"score_gpt":0.2270005881824633,"score_spread":0.2037574433817672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6945550476","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32433647,0.00029692045,0.00039052256,0.0066665993,0.00018716005,0.00013998385,0.00017638906,0.00013186513,0.66767406],"genre_scores_gemma":[0.96999943,0.0008628581,0.0002767743,0.0000303589,0.000045090157,5.267878e-7,0.000013026101,0.0000085535485,0.02876335],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989861,0.00018204188,0.00012079964,0.00029401202,0.0001713198,0.0002457042],"domain_scores_gemma":[0.99922633,0.00013059915,0.00007392822,0.00022922998,0.0001391085,0.00020078788],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000096210744,0.0001035182,0.00020102377,0.00014192259,0.0003873673,0.00007504874,0.00025873966,0.000111550245,0.0012825633],"category_scores_gemma":[0.000069202295,0.000109222485,0.000082285085,0.0011186143,0.00030476373,0.0015207774,0.000059782047,0.000107193286,0.0000033000765],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000098729564,0.0010130142,0.51272655,0.00013959207,0.00018029854,0.000031498465,0.057944193,0.0000018541123,0.000060656763,0.018359927,0.39682078,0.012622926],"study_design_scores_gemma":[0.0005286692,0.000016601749,0.041776203,0.00003427474,0.00011781517,1.4795972e-7,0.04375243,0.000010456208,0.0010034026,0.0004342135,0.912068,0.00025775775],"about_ca_topic_score_codex":0.00050980825,"about_ca_topic_score_gemma":0.56378067,"teacher_disagreement_score":0.64566296,"about_ca_system_score_codex":0.000035819965,"about_ca_system_score_gemma":0.0006729113,"threshold_uncertainty_score":0.9996304},"labels":[],"label_agreement":null},{"id":"W6949384176","doi":"10.5281/zenodo.14231532","title":"15min City Score Toolkit – Urban Walkability Analytics","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Transport Canada","funders":"","keywords":"Metric (unit); Walkability; Analytics; Flexibility (engineering); 3D city models; Urban planning; Architecture; Plug-in","score_opus":0.0665517121734597,"score_gpt":0.3001618768666537,"score_spread":0.23361016469319398,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6949384176","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.54020566,0.00052716327,0.0026643588,0.0030513466,0.00046780976,0.000692294,0.00032641197,0.002736532,0.44932845],"genre_scores_gemma":[0.9953305,0.00005830019,0.0000702776,0.00006962852,0.0003686309,2.6267001e-8,0.00040666663,0.00039164725,0.0033042945],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979143,0.00033232445,0.00026742078,0.00051524374,0.0005430413,0.00042768006],"domain_scores_gemma":[0.998916,0.000048785685,0.000045313147,0.00041192473,0.0003349704,0.00024306386],"candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0017436522,0.0001256386,0.00014370178,0.00014783247,0.0027621572,0.0015249508,0.0009811264,0.00009434151,0.02878966],"category_scores_gemma":[0.00067006657,0.00012650498,0.00010127644,0.0010741564,0.0005356355,0.0005524969,0.00030426073,0.0003319055,0.0029537356],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014925175,0.000868029,0.011732832,0.0006995431,0.00019945015,0.00012892117,0.030381285,0.00002346726,0.00086139125,0.05913122,0.6094341,0.28639048],"study_design_scores_gemma":[0.00012102406,0.00004764563,0.012504143,0.000031288128,0.000022983233,0.000001965322,0.00048166743,0.00017118125,0.00008704452,0.0015122289,0.98485875,0.00016006087],"about_ca_topic_score_codex":0.0002645003,"about_ca_topic_score_gemma":0.000024031617,"teacher_disagreement_score":0.45512488,"about_ca_system_score_codex":0.00029008876,"about_ca_system_score_gemma":0.000021785148,"threshold_uncertainty_score":0.99951154},"labels":[],"label_agreement":null},{"id":"W6957919402","doi":"10.60692/wv9rx-dwk21","title":"Socio-demographic patterns of public, private and active travel in Latin America: Cross-sectional findings from the ELANS study","year":2020,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Children's Hospital of Eastern Ontario","funders":"","keywords":"Latin Americans; Public transport; Cycling; Travel behavior; Socioeconomic status; Private transport; Travel time; Descriptive statistics","score_opus":0.06785261660654945,"score_gpt":0.2702185665090234,"score_spread":0.20236594990247392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6957919402","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99720347,0.0000012230576,0.0012997531,0.00023571339,0.000071212184,0.0004904714,0.00033263743,0.00004106532,0.00032444112],"genre_scores_gemma":[0.99977237,2.0360771e-7,0.000012170692,0.000097990756,0.0000575574,0.000027847982,0.000021767131,0.0000034669106,0.0000066492325],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99867123,0.0001511346,0.0005038171,0.0001440563,0.00036490685,0.00016487962],"domain_scores_gemma":[0.9994556,0.000035520665,0.00024438143,0.0001057536,0.00008743765,0.00007135037],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048378677,0.000096540025,0.00018253084,0.000068017696,0.00026511506,0.0002024862,0.00021492869,0.00007384568,0.000052105373],"category_scores_gemma":[0.000036693404,0.0000698227,0.000053286898,0.00034570348,0.00013602058,0.0008512781,0.000029814828,0.00013396006,0.000012323645],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017644317,0.000003386896,0.67498636,0.000017994189,0.00001771908,2.4811834e-7,0.3248468,0.0000015049603,4.657991e-7,0.000047405003,9.794113e-7,0.000059497],"study_design_scores_gemma":[0.00047573532,0.000020968017,0.84003305,0.0000114459135,0.0000070868496,4.318392e-8,0.15930314,0.000055040768,0.000009961291,0.0000043781115,0.000014789532,0.000064361295],"about_ca_topic_score_codex":0.00116437,"about_ca_topic_score_gemma":0.0000926073,"teacher_disagreement_score":0.16554368,"about_ca_system_score_codex":0.000045000685,"about_ca_system_score_gemma":0.0000416167,"threshold_uncertainty_score":0.28472874},"labels":[],"label_agreement":null},{"id":"W6957981586","doi":"10.6068/dp14ba8c2b17a43","title":"Trend 1986 - 1996. Statistics Canada. CANSIM: Prices and Price Indexes - International Merchandise Trade Price Indexes | Country: Canada | Table: Merchandise imports and exports balance of payments and customs-based price and volume indexes for all countries | Variable: Balance of payments basis, Zinc and alloys, exports, Laspeyres fixed weighted | Units: 1986=100, 1986-1996. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-171.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Price index; Balance of payments; Official statistics; Economic statistics; Consumer price index (South Africa); Payment; Balance of trade; Price level; Balance (ability); Census","score_opus":0.019037115961751987,"score_gpt":0.26169192193303586,"score_spread":0.2426548059712839,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6957981586","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0007773822,0.010708125,0.000029518042,0.000023593804,0.00039612254,0.0013770942,0.98639023,0.00004382861,0.00025409562],"genre_scores_gemma":[0.009313467,0.0069614346,0.00041677395,0.00020126064,0.00012726134,0.000054137752,0.9823037,0.00010402016,0.00051797315],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99460095,0.00026612717,0.0012896981,0.0014933941,0.0015248649,0.00082496356],"domain_scores_gemma":[0.9955167,0.0010091828,0.0016674285,0.00093659677,0.0001348305,0.0007352276],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012489741,0.00079628604,0.0013569454,0.00018003432,0.0003170215,0.00028858476,0.0010319711,0.00049516873,0.00036492912],"category_scores_gemma":[0.00016647896,0.0007363215,8.8948485e-7,0.00033353156,0.0012116628,0.00077345525,0.00038732734,0.00043258126,1.5926219e-7],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034083784,0.00014133657,0.09422505,0.0016075394,0.00042695238,0.00010586182,0.000094037416,0.0000010451134,0.000008739298,0.00023617654,0.9026696,0.00014280672],"study_design_scores_gemma":[0.0017586445,0.00011093201,0.0048329984,0.00018908826,0.0005082238,0.000017010094,0.00035432875,0.0006801356,0.0000011077323,0.0000056103613,0.9907561,0.00078582007],"about_ca_topic_score_codex":0.9914055,"about_ca_topic_score_gemma":0.98557925,"teacher_disagreement_score":0.08939205,"about_ca_system_score_codex":0.00016507348,"about_ca_system_score_gemma":0.0061182417,"threshold_uncertainty_score":0.9995161},"labels":[],"label_agreement":null},{"id":"W6958243666","doi":"10.6084/m9.figshare.29288427","title":"Additional file 10 of Cycling infrastructure as a determinant of cycling for recreation and transportation in Montréal, Canada: a natural experiment using the longitudinal national population health survey","year":2025,"lang":"en","type":"article","venue":"Figshare","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Health Canada; Queen's University; Université de Sherbrooke; McGill University; Public Health Agency of Canada; University of Ottawa","funders":"","keywords":"Cycling; Recreation; Population; Natural (archaeology); Population health","score_opus":0.043695767243881536,"score_gpt":0.3451074590539832,"score_spread":0.3014116918101017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6958243666","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34029058,0.00025998542,0.0000058521896,0.000060587907,0.000028842815,0.00036383423,0.6589601,0.000004305279,0.00002588314],"genre_scores_gemma":[0.7157749,0.0000012348725,0.00024192283,0.000021945994,0.000019492189,0.00006189292,0.28385234,0.0000021879653,0.000024128378],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9991395,0.0000629431,0.000309551,0.00013581396,0.00024779016,0.00010440185],"domain_scores_gemma":[0.99881,0.0006713244,0.00023512251,0.00004167935,0.0002203132,0.000021544754],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00016805125,0.00006199663,0.00013097872,0.00005256972,0.00020485517,0.000012838999,0.00006549056,0.000045900848,0.041843098],"category_scores_gemma":[0.00091725274,0.00005397812,0.00003056481,0.00020752529,0.000016248523,0.00014114674,0.000003643432,0.000058860365,8.445466e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044672636,0.00012780269,0.187253,0.00080171746,0.00006708407,0.0000020343405,0.0058616507,0.0028606798,0.00009608853,0.00022421607,0.7935991,0.008659859],"study_design_scores_gemma":[0.00013760506,0.000009192067,0.99505264,0.0007941789,0.0000032513326,6.4378405e-8,0.00034907588,0.0015863205,0.00005529179,0.00021795412,0.0017456408,0.000048803573],"about_ca_topic_score_codex":0.40528622,"about_ca_topic_score_gemma":0.9118279,"teacher_disagreement_score":0.80779964,"about_ca_system_score_codex":0.00021604443,"about_ca_system_score_gemma":0.0010913756,"threshold_uncertainty_score":0.9590328},"labels":[],"label_agreement":null},{"id":"W6958298704","doi":"10.6084/m9.figshare.29288421","title":"Additional file 8 of Cycling infrastructure as a determinant of cycling for recreation and transportation in Montréal, Canada: a natural experiment using the longitudinal national population health survey","year":2025,"lang":"en","type":"article","venue":"Figshare","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Health Canada; Queen's University; Université de Sherbrooke; McGill University; Public Health Agency of Canada; University of Ottawa","funders":"","keywords":"Cycling; Recreation; Population; Natural (archaeology); Population health","score_opus":0.04120547774156119,"score_gpt":0.3429938637239842,"score_spread":0.301788385982423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6958298704","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22057357,0.0002020896,0.0000051471447,0.00005040838,0.000025218877,0.00031930258,0.77880156,0.0000036714043,0.000019022951],"genre_scores_gemma":[0.6543777,0.0000011055438,0.0002640288,0.000023025188,0.000017370567,0.00006888497,0.34523338,0.0000019533204,0.000012561312],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99916387,0.00006112417,0.00030109752,0.00013160179,0.00024016565,0.00010211529],"domain_scores_gemma":[0.9986834,0.0008235443,0.0002332523,0.00004014341,0.00019883635,0.000020832435],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00014860478,0.000059977338,0.00012764946,0.00005124835,0.00020127556,0.000012188778,0.00006352494,0.0000438204,0.049048733],"category_scores_gemma":[0.0010150414,0.00005215811,0.000029639798,0.00020590803,0.000015807822,0.000136254,0.0000035200171,0.00006075996,6.377459e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025684977,0.00008948463,0.15025933,0.0005781773,0.000048340276,0.0000015058744,0.0045007863,0.0021784585,0.000064126914,0.00015239864,0.8352628,0.0066077905],"study_design_scores_gemma":[0.000118735064,0.000007831349,0.99499965,0.00090669875,0.0000028580612,6.560548e-8,0.00037411167,0.001471361,0.00004509387,0.00019368959,0.0018333762,0.0000465185],"about_ca_topic_score_codex":0.42737153,"about_ca_topic_score_gemma":0.91802716,"teacher_disagreement_score":0.84474033,"about_ca_system_score_codex":0.00021317399,"about_ca_system_score_gemma":0.001115042,"threshold_uncertainty_score":0.95182055},"labels":[],"label_agreement":null},{"id":"W6958411289","doi":"10.6084/m9.figshare.7405610","title":"Additional file 1: of Who is in the near market for bicycle sharing? Identifying current, potential, and unlikely users of a public bicycle share program in Vancouver, Canada","year":2018,"lang":"en","type":"article","venue":"Figshare","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Public transport; Postal service; Market share; Public use; Market research","score_opus":0.05990794887930327,"score_gpt":0.3148649444799628,"score_spread":0.25495699560065954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6958411289","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026695441,0.000089637004,1.9986284e-7,0.000083489474,0.000064429405,0.0005662087,0.97129107,0.00001242726,0.0011970939],"genre_scores_gemma":[0.78865653,0.000002589594,0.00019182121,0.000107129395,0.00015191604,0.0010488951,0.20942663,0.000015038393,0.00039946017],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99880505,0.000051697265,0.0002524159,0.000256989,0.00034343105,0.0002904007],"domain_scores_gemma":[0.99906176,0.00035023125,0.00017394565,0.00015583287,0.00019598642,0.000062214734],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00016689884,0.00009268034,0.00015887505,0.00006700856,0.00019766128,0.000097331686,0.0004344025,0.000061036306,0.7924699],"category_scores_gemma":[0.0010587483,0.000082072445,0.000057875764,0.0005387775,0.000093282826,0.00039119134,0.00005551765,0.00010447358,0.0000036698102],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008316878,0.000061170365,0.015062026,0.0001838048,0.000005091244,0.0000011962237,0.0007064503,1.714544e-7,2.4334838e-7,0.0000015486801,0.9801888,0.0037811666],"study_design_scores_gemma":[0.00018472073,0.000022986422,0.35360947,0.0010194372,0.0000035770265,5.960512e-8,0.00082633225,0.0004684138,0.0000050818553,0.00016985305,0.64359295,0.000097128664],"about_ca_topic_score_codex":0.048508417,"about_ca_topic_score_gemma":0.8870232,"teacher_disagreement_score":0.83851475,"about_ca_system_score_codex":0.00006192756,"about_ca_system_score_gemma":0.0006825953,"threshold_uncertainty_score":0.9578276},"labels":[],"label_agreement":null},{"id":"W6958412930","doi":"10.6084/m9.figshare.29368221.v1","title":"Additional file 1 of Urban cycling-specific active transportation behaviour is sensitive to the fresh start effect: triangulating observational evidence from real world data","year":2025,"lang":"en","type":"article","venue":"Figshare","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Real world data; Observational study; Data collection; Real-time data; Fresh Start; Global Positioning System","score_opus":0.14809724735176213,"score_gpt":0.3580560953332391,"score_spread":0.209958847981477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6958412930","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03622855,0.000018101937,0.0000037859118,0.00048838963,0.000054367614,0.0004893347,0.9617325,0.00003736718,0.0009475835],"genre_scores_gemma":[0.22778143,8.6219416e-7,0.00034201043,0.00015368033,0.00027911636,0.00021920571,0.77054024,0.000006194645,0.0006772777],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.998415,0.00015055314,0.00031418115,0.00043898204,0.0004960136,0.0001852724],"domain_scores_gemma":[0.9925335,0.0065100654,0.00022074085,0.00038238597,0.0002896717,0.00006360376],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00017296166,0.000121983,0.00019603597,0.00006187127,0.00038635725,0.00006264134,0.0005369395,0.00006252359,0.8710524],"category_scores_gemma":[0.0021484331,0.00010619932,0.000086961794,0.00073807844,0.00004945823,0.00055802346,0.000035185803,0.00017783864,0.00012416184],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007630595,0.000022529415,0.011774333,0.000012631124,0.000021163574,0.000002469095,0.0027913589,0.000005469681,0.000010230445,0.000008149165,0.983626,0.0016493809],"study_design_scores_gemma":[0.00008602435,0.000012718561,0.83939946,0.0018993198,0.000020895548,5.03544e-9,0.0005902995,0.00004355493,0.0002716867,0.000033981,0.1575468,0.00009524995],"about_ca_topic_score_codex":0.0034624068,"about_ca_topic_score_gemma":0.06490634,"teacher_disagreement_score":0.8709282,"about_ca_system_score_codex":0.00008425493,"about_ca_system_score_gemma":0.000337371,"threshold_uncertainty_score":0.95215666},"labels":[],"label_agreement":null},{"id":"W6958485329","doi":"10.6084/m9.figshare.29288430.v1","title":"Additional file 11 of Cycling infrastructure as a determinant of cycling for recreation and transportation in Montréal, Canada: a natural experiment using the longitudinal national population health survey","year":2025,"lang":"en","type":"article","venue":"Figshare","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Health Canada; Queen's University; Université de Sherbrooke; McGill University; Public Health Agency of Canada; University of Ottawa","funders":"","keywords":"Cycling; Recreation; Population; Natural (archaeology); Population health","score_opus":0.042595703825061004,"score_gpt":0.34442621250179273,"score_spread":0.3018305086767317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6958485329","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40466446,0.00021329307,0.0000069111697,0.000060351744,0.000029342102,0.0003357522,0.59467256,0.0000038912744,0.000013449165],"genre_scores_gemma":[0.7272531,0.0000012859012,0.00026392852,0.00002518159,0.000019593199,0.000062444815,0.27236062,0.0000022150039,0.000011642033],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9991323,0.000063776555,0.00031248952,0.00013657866,0.00024891624,0.00010594993],"domain_scores_gemma":[0.9988375,0.0006592593,0.00023651289,0.000041729083,0.00020326405,0.000021768252],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00016894974,0.000062408864,0.00013239696,0.00005311794,0.00020778007,0.000012700902,0.000065893815,0.00004531051,0.02115384],"category_scores_gemma":[0.0008283172,0.00005433568,0.000030781077,0.00020956992,0.000016321912,0.00014350511,0.0000036632969,0.00005718943,5.0364015e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002844266,0.00012220968,0.4603766,0.00078040623,0.000055053053,0.0000020828468,0.006295989,0.0033371707,0.00009621376,0.00029186002,0.5220824,0.006275623],"study_design_scores_gemma":[0.00013508303,0.0000073353676,0.99556303,0.0008116018,0.0000032033806,6.958077e-8,0.00040264675,0.0014987431,0.00005675775,0.00019070372,0.0012830715,0.000047783138],"about_ca_topic_score_codex":0.5263837,"about_ca_topic_score_gemma":0.9538363,"teacher_disagreement_score":0.5351864,"about_ca_system_score_codex":0.00021684973,"about_ca_system_score_gemma":0.0010719952,"threshold_uncertainty_score":0.979741},"labels":[],"label_agreement":null},{"id":"W6958502279","doi":"10.6084/m9.figshare.29288412.v1","title":"Additional file 5 of Cycling infrastructure as a determinant of cycling for recreation and transportation in Montréal, Canada: a natural experiment using the longitudinal national population health survey","year":2025,"lang":"en","type":"article","venue":"Figshare","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Health Canada; Queen's University; Université de Sherbrooke; McGill University; Public Health Agency of Canada; University of Ottawa","funders":"","keywords":"Cycling; Recreation; Population; Natural (archaeology); Population health","score_opus":0.04119809300281188,"score_gpt":0.34299357072203046,"score_spread":0.30179547771921855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6958502279","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22007716,0.00020184934,0.0000051379416,0.00005034917,0.00002522305,0.0003193617,0.7792983,0.0000036929305,0.000018905164],"genre_scores_gemma":[0.65392214,0.0000011158185,0.0002637876,0.000023008752,0.000017364397,0.000068844216,0.34568936,0.0000019543863,0.000012441605],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99916387,0.00006112298,0.0003010979,0.00013160483,0.00024020673,0.00010210428],"domain_scores_gemma":[0.9986836,0.0008233828,0.00023324645,0.000040143324,0.0001987967,0.000020831896],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00014860311,0.000059975162,0.00012764901,0.0000512577,0.00020128078,0.000012184826,0.000063525935,0.000043821896,0.04902699],"category_scores_gemma":[0.0010149536,0.000052155934,0.0000296414,0.00020600983,0.000015807049,0.00013625884,0.0000035205053,0.000060757044,6.333823e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002557546,0.00008910865,0.15049708,0.0005756168,0.000048125396,0.0000014992213,0.004476978,0.002165423,0.000064306434,0.00015253616,0.83517414,0.006499425],"study_design_scores_gemma":[0.00011864165,0.000007811733,0.99502397,0.00090562284,0.0000028555153,6.5542515e-8,0.0003739053,0.001460791,0.000044533648,0.0001926713,0.0018226446,0.00004647281],"about_ca_topic_score_codex":0.42763323,"about_ca_topic_score_gemma":0.91807204,"teacher_disagreement_score":0.8445269,"about_ca_system_score_codex":0.0002131517,"about_ca_system_score_gemma":0.0011146377,"threshold_uncertainty_score":0.9518423},"labels":[],"label_agreement":null},{"id":"W6958567647","doi":"10.6084/m9.figshare.29288403.v1","title":"Additional file 2 of Cycling infrastructure as a determinant of cycling for recreation and transportation in Montréal, Canada: a natural experiment using the longitudinal national population health survey","year":2025,"lang":"en","type":"article","venue":"Figshare","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Health Canada; Queen's University; Université de Sherbrooke; McGill University; Public Health Agency of Canada; University of Ottawa","funders":"","keywords":"Cycling; Recreation; Population; Natural (archaeology); Population health","score_opus":0.04058540759868929,"score_gpt":0.3427216598302867,"score_spread":0.3021362522315974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6958567647","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21809886,0.0002033052,0.0000050088943,0.000050196915,0.000025342239,0.0003188179,0.7812755,0.0000036929098,0.00001924718],"genre_scores_gemma":[0.651154,0.0000011245352,0.0002607389,0.000022943286,0.0000175214,0.000068677684,0.34846053,0.0000019482895,0.000012538947],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99916416,0.00006111852,0.0003010142,0.00013154504,0.00024011543,0.00010207159],"domain_scores_gemma":[0.99868757,0.0008192993,0.0002334663,0.000040117928,0.00019874646,0.000020828224],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00014781387,0.000059957707,0.00012761999,0.000051225506,0.0002012149,0.00001218489,0.00006351072,0.000043820313,0.049954258],"category_scores_gemma":[0.0010135085,0.000052143638,0.000029632836,0.00020590595,0.000015803435,0.00013623167,0.0000035209555,0.000060751347,6.3657275e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025072455,0.00008777517,0.14438298,0.00056702754,0.000047455174,0.0000014915944,0.0044127386,0.0021449435,0.00006180534,0.00014868182,0.8414248,0.0064695287],"study_design_scores_gemma":[0.000118784876,0.000007824419,0.99491715,0.0008983954,0.0000028589086,6.5819115e-8,0.00037228712,0.0014598467,0.00004412985,0.00019332505,0.0019388277,0.00004652387],"about_ca_topic_score_codex":0.42732704,"about_ca_topic_score_gemma":0.9175206,"teacher_disagreement_score":0.85053414,"about_ca_system_score_codex":0.00021314599,"about_ca_system_score_gemma":0.0011124341,"threshold_uncertainty_score":0.9509142},"labels":[],"label_agreement":null},{"id":"W6958582377","doi":"10.6084/m9.figshare.16674761.v1","title":"Additional file 1 of Duration and determinants of delayed tuberculosis diagnosis and treatment in high-burden countries: a mixed-methods systematic review and meta-analysis","year":2021,"lang":"en","type":"article","venue":"Figshare","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Table (database); Duration (music); Computation; Scale (ratio); Association (psychology); Tuberculosis","score_opus":0.051874571028210366,"score_gpt":0.350155427412148,"score_spread":0.29828085638393764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6958582377","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004461929,0.019136269,3.1287576e-7,0.00009282667,0.0000019071831,0.00042694766,0.9758388,0.000004386153,0.000036618996],"genre_scores_gemma":[0.21924599,0.0047073457,0.0036828348,0.00021356846,0.00003582905,0.009546959,0.7615681,0.000019412751,0.000979937],"study_design_codex":"not_applicable","study_design_gemma":"meta_analysis","domain_scores_codex":[0.9988023,0.00028362498,0.00046484545,0.00020566698,0.00015837816,0.00008519364],"domain_scores_gemma":[0.9972306,0.0021599408,0.00027435765,0.00012544873,0.00016243165,0.00004725506],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001902424,0.000093453025,0.00093427295,0.00005555461,0.000067943365,0.000023591798,0.000048417518,0.00005735729,0.77551454],"category_scores_gemma":[0.0021148499,0.00007125674,0.00015177649,0.00038073488,0.000035216843,0.00014679726,0.000018745446,0.000024523042,0.0000026825385],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026713358,0.00054586376,0.018312905,0.31622335,0.044203795,0.00007513483,0.009086717,0.0000038096337,0.000004182965,0.00003438404,0.60950977,0.0019734113],"study_design_scores_gemma":[0.0011127269,0.00036611967,0.37228277,0.064356916,0.5186396,0.0000075903567,0.004638992,0.000452692,0.0010141869,0.0006055143,0.035144497,0.0013784146],"about_ca_topic_score_codex":0.0006396985,"about_ca_topic_score_gemma":0.010800679,"teacher_disagreement_score":0.77551186,"about_ca_system_score_codex":0.00002619742,"about_ca_system_score_gemma":0.00007979905,"threshold_uncertainty_score":0.6027033},"labels":[],"label_agreement":null},{"id":"W6958709852","doi":"10.6093/1970-9870/10272","title":"Digital data to support urban planning processes to develop women safety cities: an application to the city of Naples","year":2023,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Transport Canada","funders":"","keywords":"Walkability; Urban planning; Pedestrian; Neighbourhood (mathematics); Product (mathematics); Perception; Transportation planning; Land-use planning","score_opus":0.3521092534918523,"score_gpt":0.5546185147869797,"score_spread":0.20250926129512736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6958709852","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98925793,0.0002668454,0.0018791134,0.00090129557,0.00020973603,0.0012436203,0.0008537344,0.000098580036,0.0052891523],"genre_scores_gemma":[0.9977667,0.000173936,0.00016385132,0.00042248223,0.00028189016,0.00013534124,0.00020372235,0.000029968634,0.0008221236],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99653393,0.00014465059,0.00093587686,0.00068135076,0.001107704,0.0005964807],"domain_scores_gemma":[0.99683684,0.00041529717,0.00046505505,0.000925997,0.0007713292,0.0005854795],"candidate_categories":["scholarly_communication","open_science","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003993233,0.00024282032,0.00056345796,0.00048672056,0.0007517455,0.0015157689,0.0073126727,0.00008657283,0.0015396725],"category_scores_gemma":[0.0017053356,0.0001972456,0.00004777577,0.0054223365,0.00018705997,0.004474333,0.0013850279,0.0001995146,0.000032227097],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021778741,0.00011406479,0.9320366,0.00009025566,0.000055958793,0.0000045206193,0.023290455,0.00016007997,0.0008828425,0.000035692123,0.024721423,0.01839032],"study_design_scores_gemma":[0.000109894114,0.000020239697,0.83975166,0.00013994906,0.000018038514,2.9368283e-7,0.006392617,0.0000072791486,0.0008895708,0.0007398383,0.15163545,0.00029516008],"about_ca_topic_score_codex":0.0017805863,"about_ca_topic_score_gemma":0.0025266705,"teacher_disagreement_score":0.12691402,"about_ca_system_score_codex":0.00016046426,"about_ca_system_score_gemma":0.0010358583,"threshold_uncertainty_score":0.9995208},"labels":[],"label_agreement":null},{"id":"W6959367477","doi":"10.1080/00045608.2011.627059#.vy7eovxvhhw","title":"Route-Based Analysis to Capture the Environmental Influences on a Child's Mode of Travel between Home and School","year":2012,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Travel behavior; Intersection (aeronautics); Mode (computer interface); Logistic regression; Mode choice; Travel survey; Scale (ratio); Travel time; Household income; Regression analysis","score_opus":0.049051372198580724,"score_gpt":0.30898806705922127,"score_spread":0.2599366948606405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6959367477","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99837345,0.00008694332,0.00023188411,0.00045867806,0.00005345548,0.0003082401,0.00017319564,0.000033580443,0.00028055758],"genre_scores_gemma":[0.99898326,0.000011495294,0.000016781101,0.00029499448,0.00010620062,0.0000012127799,0.00002461366,0.00001147539,0.0005499563],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981094,0.00031243407,0.00021951753,0.00036558227,0.00055175874,0.00044128625],"domain_scores_gemma":[0.9988359,0.00013296925,0.00015640231,0.00037693125,0.000028860604,0.0004689021],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052874384,0.00021135955,0.00034086397,0.00038030802,0.0005405893,0.0001188416,0.00069993484,0.00017117658,0.00006762733],"category_scores_gemma":[0.000025355956,0.00017891164,0.00018127791,0.0008155863,0.00038855145,0.0011440178,0.000078636294,0.00037496636,0.00003040292],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053757285,0.00008665694,0.99619925,0.000008309165,0.00015683415,0.0000036516028,0.0032023129,0.000051393417,0.00007858566,0.000033242188,1.2255134e-7,0.00012587859],"study_design_scores_gemma":[0.00033249427,0.000043462194,0.9964397,0.00002981769,0.0005031331,1.225504e-7,0.0016090659,1.7030416e-7,0.0004796353,0.000023885636,0.00031464826,0.00022388008],"about_ca_topic_score_codex":0.00027175053,"about_ca_topic_score_gemma":0.0070669455,"teacher_disagreement_score":0.0067951954,"about_ca_system_score_codex":0.0001618516,"about_ca_system_score_gemma":0.00006857849,"threshold_uncertainty_score":0.7295805},"labels":[],"label_agreement":null},{"id":"W6964003783","doi":"10.25316/ir-17048","title":"Free and Reduced-fare Public Transit for Youth (Evidence Brief)","year":2021,"lang":"en","type":"article","venue":"VIUSpace (Vancouver Island University Library)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Public transport; Transit (satellite); Public policy; Transit system","score_opus":0.026126837436766415,"score_gpt":0.22648217327293968,"score_spread":0.20035533583617327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6964003783","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72952265,0.0012664549,0.0031160475,0.02583173,0.00087865774,0.0006676045,0.0009220197,0.00041917307,0.23737566],"genre_scores_gemma":[0.9369644,0.00042919072,0.00081640034,0.00023107081,0.00016756497,8.0055224e-7,0.000024120252,0.000015406698,0.061351024],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986185,0.00012538146,0.000118183554,0.00048845354,0.00025423852,0.00039525918],"domain_scores_gemma":[0.9990708,0.00016132354,0.000067991576,0.00033780016,0.00010377068,0.00025828215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012440073,0.00015366566,0.00022627042,0.00008378763,0.000760066,0.00019461312,0.0004600517,0.00015712975,0.00040465491],"category_scores_gemma":[0.0001014237,0.00016548442,0.00013144978,0.00057672797,0.0002906524,0.0031189104,0.00009700095,0.00014613505,0.0000014337598],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023894166,0.00015326301,0.060004953,0.0001312863,0.00008226925,0.00011690189,0.025515797,0.0000033532651,0.00012922313,0.007009324,0.9047115,0.0019032165],"study_design_scores_gemma":[0.0022384678,0.000085190826,0.02359109,0.00015902458,0.0001882364,5.146575e-7,0.047223862,0.000024026578,0.0010740086,0.0029194944,0.9218438,0.0006522663],"about_ca_topic_score_codex":0.00083656405,"about_ca_topic_score_gemma":0.455969,"teacher_disagreement_score":0.45513245,"about_ca_system_score_codex":0.000045993103,"about_ca_system_score_gemma":0.0005880785,"threshold_uncertainty_score":0.6748259},"labels":[],"label_agreement":null},{"id":"W6966421645","doi":"10.3929/ethz-b-000678292","title":"The effect of work-related factors on the bicycle commute mode choice in the Netherlands","year":2013,"lang":"en","type":"article","venue":"Repository for Publications and Research Data (ETH Zurich)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cycling; Work (physics); Public transport; Clothing; Compensation (psychology); Quarter (Canadian coin); Survey data collection","score_opus":0.11014052152605501,"score_gpt":0.4207749155609297,"score_spread":0.3106343940348747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6966421645","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9745607,0.00041242084,0.000018713767,0.016417017,0.00006623417,0.0016140545,0.000054890173,0.00002047175,0.0068355426],"genre_scores_gemma":[0.9977431,0.0000634848,0.000009595734,0.000016233318,0.000068764864,0.00028888197,0.00010643048,0.000007108983,0.0016963888],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99718857,0.0014669996,0.00025356043,0.00025116428,0.00050999474,0.0003297138],"domain_scores_gemma":[0.98900795,0.0093543185,0.00008994206,0.0012878486,0.00019025909,0.00006965892],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00670041,0.00007908714,0.0001058525,0.000078350524,0.0026015558,0.00055210775,0.002041362,0.000085172556,0.000017421426],"category_scores_gemma":[0.0013696366,0.000032165757,0.00004248846,0.0009720062,0.00088278105,0.00048038783,0.00012589357,0.00041910133,0.0000026428197],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003154725,0.00013954751,0.93425864,0.000022682527,0.000050830768,1.3921218e-7,0.0038986423,0.0000054425027,0.00009888362,0.006122985,0.051372822,0.0039978563],"study_design_scores_gemma":[0.00022856191,0.00011639507,0.87761444,0.000023711571,0.000014467436,1.3702284e-7,0.0016012876,0.00040920582,0.00016111202,0.0011527467,0.11860041,0.000077550874],"about_ca_topic_score_codex":0.010190258,"about_ca_topic_score_gemma":0.002012157,"teacher_disagreement_score":0.06722759,"about_ca_system_score_codex":0.000031441665,"about_ca_system_score_gemma":0.000090692185,"threshold_uncertainty_score":0.9986969},"labels":[],"label_agreement":null},{"id":"W6968454581","doi":"10.5281/zenodo.16883494","title":"Recharging the 15-Minute City: How e-micromobility is expanding access","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Focus (optics); Data access; Government (linguistics); Key (lock); Current (fluid); Universal design","score_opus":0.07594176110733426,"score_gpt":0.3348226999856983,"score_spread":0.25888093887836405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6968454581","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5654023,0.00026937417,0.0062231366,0.031304497,0.00049304275,0.001223078,0.00016665673,0.0013155105,0.3936024],"genre_scores_gemma":[0.99312466,0.000081921076,0.000041322535,0.00051647454,0.00014698057,8.539843e-8,0.0001143784,0.0002010509,0.0057731094],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99805355,0.000487152,0.00020090517,0.00044781607,0.00038708752,0.00042347246],"domain_scores_gemma":[0.9988122,0.00006682801,0.00009508493,0.0005023714,0.00041014128,0.000113381146],"candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0021238483,0.00011865542,0.00013992368,0.0001366072,0.0068126726,0.002455499,0.001983798,0.00007896485,0.010397149],"category_scores_gemma":[0.0007174071,0.000102511774,0.000080106256,0.0011551945,0.0004921962,0.0007057387,0.0007520946,0.00032099156,0.00035846472],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015027994,0.00038303484,0.010577712,0.00022721205,0.00016723716,0.00001671283,0.034841977,0.0000049166924,0.0034536296,0.0136697395,0.6603495,0.27615806],"study_design_scores_gemma":[0.00020706914,0.000016409374,0.011854759,0.000038429454,0.000019285888,8.6542434e-7,0.0020873533,0.000026906711,0.0012573479,0.0017932088,0.9825697,0.00012869741],"about_ca_topic_score_codex":0.00025781852,"about_ca_topic_score_gemma":0.000019341089,"teacher_disagreement_score":0.42772236,"about_ca_system_score_codex":0.00022825063,"about_ca_system_score_gemma":0.000018390123,"threshold_uncertainty_score":0.99858004},"labels":[],"label_agreement":null},{"id":"W6968711764","doi":"10.5281/zenodo.7752483","title":"Walkability for Women and the 15- minute City Framework: The STEP UP Project","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Transport Canada","funders":"","keywords":"Walkability; Built environment; Public transport; Perception; Focus group; Population; Urban design; Urban planning; Poison control","score_opus":0.06716912165674185,"score_gpt":0.3137369467119871,"score_spread":0.24656782505524524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6968711764","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91702145,0.00012663756,0.0033229797,0.015474079,0.00037944992,0.0036810355,0.00035390066,0.0013873297,0.05825312],"genre_scores_gemma":[0.9942921,0.00008440656,0.00006743177,0.00017496386,0.00021957007,8.573588e-7,0.000114741306,0.00023688654,0.004809085],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99798626,0.00063762546,0.0001999186,0.0003428486,0.00037652013,0.00045682062],"domain_scores_gemma":[0.9987972,0.0003061551,0.000077841985,0.00040425846,0.0003168691,0.000097671385],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004828808,0.00009653899,0.00013392454,0.000060385308,0.0057037286,0.00080115965,0.0010154045,0.00007063002,0.0023462134],"category_scores_gemma":[0.0022710087,0.00006204403,0.0000614056,0.0008511219,0.0011629694,0.00021608769,0.00041488893,0.00024935836,0.0003195666],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012175563,0.00022496609,0.0029543345,0.0002915922,0.0001709406,0.0000050081007,0.23296931,0.0000057902585,0.00009192637,0.07854545,0.36690328,0.31661987],"study_design_scores_gemma":[0.0005092582,0.00004916271,0.014196858,0.000008626962,0.000010132362,6.8258015e-7,0.0067125214,0.00019927186,0.000009465334,0.013641499,0.96456426,0.00009824584],"about_ca_topic_score_codex":0.00024245786,"about_ca_topic_score_gemma":0.000023664747,"teacher_disagreement_score":0.597661,"about_ca_system_score_codex":0.000109202716,"about_ca_system_score_gemma":0.000014869439,"threshold_uncertainty_score":0.9985658},"labels":[],"label_agreement":null},{"id":"W6976739363","doi":"10.6084/m9.figshare.13269914.v1","title":"Additional file 1 of Workplace neighbourhood built environment and workers’ physically-active and sedentary behaviour: a systematic review of observational studies","year":2020,"lang":"en","type":"article","venue":"Figshare","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Built environment; Observational study; Neighbourhood (mathematics); Syntax; Work (physics)","score_opus":0.09704284047261715,"score_gpt":0.31091924707742713,"score_spread":0.21387640660481,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6976739363","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001325405,0.004906631,1.3595152e-7,0.0004671915,0.0000037363689,0.00044502917,0.9925868,0.000008838176,0.00025624782],"genre_scores_gemma":[0.15662274,0.0006317522,0.00055617024,0.0011917191,0.00017308546,0.0014855255,0.8389948,0.000016559346,0.000327618],"study_design_codex":"not_applicable","study_design_gemma":"systematic_review","domain_scores_codex":[0.99916565,0.00006469086,0.00024191974,0.00016049431,0.0002859113,0.00008132149],"domain_scores_gemma":[0.9986247,0.0009320935,0.00023543628,0.00006726178,0.000072115625,0.00006839626],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000036348447,0.00007900332,0.00032289082,0.00000818942,0.00008014744,0.000007936851,0.000098919794,0.000029546612,0.8138859],"category_scores_gemma":[0.0013393154,0.00006912841,0.000056810197,0.000098403696,0.00006495425,0.00015990892,0.000049469367,0.00006105231,0.000020295367],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007002024,0.00004496863,0.0018578368,0.057510447,0.000066086526,0.000001610836,0.001472697,2.3238931e-7,9.309884e-7,0.000004193025,0.93896985,0.00006415624],"study_design_scores_gemma":[0.00028003068,0.00010785836,0.45175764,0.52426815,0.00029804625,4.514083e-7,0.0056302324,0.000018246072,0.000031649823,0.00014253742,0.01713182,0.00033334756],"about_ca_topic_score_codex":0.000015614021,"about_ca_topic_score_gemma":0.00002892989,"teacher_disagreement_score":0.92183805,"about_ca_system_score_codex":0.000023327082,"about_ca_system_score_gemma":0.00007095607,"threshold_uncertainty_score":0.2818975},"labels":[],"label_agreement":null},{"id":"W6976919259","doi":"10.6084/m9.figshare.26651043.v1","title":"Additional file 6 of Prioritizing a research agenda on built environments and physical activity: a twin panel Delphi consensus process with researchers and knowledge users","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; Dalhousie University; Research Institute for Aging; University of Waterloo; Parachute; University of Victoria; University of Lethbridge; University of New Brunswick; University of Saskatchewan; Alberta Health Services; University of Toronto; Carleton University; University of Calgary; Ottawa Public Health; Children's Hospital of Eastern Ontario; Statistics Canada; Infrastructure Canada; BC Centre for Disease Control; University of British Columbia; Simon Fraser University; Public Health Agency of Canada; University of Ottawa","funders":"","keywords":"Delphi method; Process (computing); Table (database); Ranking (information retrieval); Delphi","score_opus":0.2970027300243522,"score_gpt":0.4333804668808926,"score_spread":0.13637773685654042,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6976919259","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25689992,0.0000893054,2.67416e-8,0.000107044965,0.0000038707617,0.00024842002,0.738965,0.000022609933,0.003663831],"genre_scores_gemma":[0.95935315,0.0000027647845,0.000021029611,0.0000056724925,0.000104201055,0.00030330612,0.039054558,0.000013166144,0.0011421272],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986149,0.0001498178,0.00007014876,0.00034776024,0.0005338282,0.00028352955],"domain_scores_gemma":[0.9971053,0.0025734922,0.000025408635,0.00009547836,0.00006895559,0.00013137478],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00017318943,0.000088020584,0.00011850699,0.000084652944,0.00027946578,0.00009897676,0.00011539782,0.00006600472,0.33563995],"category_scores_gemma":[0.0011447737,0.000074928204,0.000026104843,0.0003418128,0.00030248892,0.000161039,0.000048188907,0.0003362826,0.00008726137],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000901826,0.00018093803,0.00018216015,0.00055050076,0.00003210995,0.00006489843,0.010469429,3.7625313e-7,0.000061590225,0.000012532217,0.9789458,0.009409498],"study_design_scores_gemma":[0.00039414773,0.00033863322,0.07963007,0.008229732,0.000015248632,0.0000024853935,0.0077447253,0.0005393601,0.00037734403,0.00042927513,0.9019558,0.00034321647],"about_ca_topic_score_codex":0.00008108132,"about_ca_topic_score_gemma":0.0003928802,"teacher_disagreement_score":0.70245326,"about_ca_system_score_codex":0.00006385212,"about_ca_system_score_gemma":0.0005158023,"threshold_uncertainty_score":0.66496736},"labels":[],"label_agreement":null},{"id":"W6976956240","doi":"10.60692/khgme-0nt59","title":"Physical activity and active transportation behaviour among rural, peri-urban and urban children in Kenya, Mozambique and Nigeria: The PAAT Study","year":2022,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Children's Hospital of Eastern Ontario; University of Lethbridge","funders":"","keywords":"Physical activity; Logistic regression; Odds; Kenya; Rural area; Socioeconomic status; Developing country; Odds ratio; Household income","score_opus":0.013855331038239242,"score_gpt":0.23383720112723913,"score_spread":0.2199818700889999,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6976956240","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983101,0.0000049895284,0.00001485313,0.00006947718,0.00006382205,0.0011811634,0.00016623487,0.000055148284,0.00013423536],"genre_scores_gemma":[0.99971104,3.263947e-7,0.0000016192587,0.000016213427,0.00004431324,0.00016652119,0.000022008651,0.0000056243443,0.000032312924],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988033,0.00026483295,0.00024941904,0.00017632486,0.00032367528,0.00018244692],"domain_scores_gemma":[0.9995494,0.000013014937,0.00018691955,0.00014150892,0.00003824918,0.000070931],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005552707,0.00013613427,0.00020884084,0.000084909465,0.00081919524,0.00018243285,0.000113528746,0.000051059033,0.000008100417],"category_scores_gemma":[0.0000051477223,0.000105880266,0.000031232474,0.00021893675,0.0001598814,0.0012218684,0.000025747166,0.00020713225,7.915276e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039948278,0.000012269054,0.62761265,0.000011911317,0.000009131767,7.652694e-7,0.37216082,0.0000027870478,5.65728e-7,0.000014708646,0.0000032073021,0.00013120857],"study_design_scores_gemma":[0.00049771287,0.000048575253,0.80493194,0.000009846999,0.000025253841,5.0672935e-7,0.19430555,0.000058638845,0.000013279876,0.0000018919729,0.000004057342,0.000102749626],"about_ca_topic_score_codex":0.0023900298,"about_ca_topic_score_gemma":0.00053888955,"teacher_disagreement_score":0.17785527,"about_ca_system_score_codex":0.00009140451,"about_ca_system_score_gemma":0.000033073393,"threshold_uncertainty_score":0.63006705},"labels":[],"label_agreement":null},{"id":"W6976976355","doi":"10.6084/m9.figshare.20115644.v1","title":"Additional file 1 of Cross-sectional and longitudinal associations between the built environment and walking: effect modification by socioeconomic status","year":2022,"lang":"en","type":"article","venue":"Figshare","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Alberta Health Services; University of Calgary","funders":"","keywords":"Walkability; Built environment; Table (database); Socioeconomic status; Baseline (sea); Longitudinal study","score_opus":0.04465227531537883,"score_gpt":0.3044337207825933,"score_spread":0.25978144546721443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6976976355","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16336878,0.000066319546,2.089332e-7,0.000054477612,0.000008793638,0.00014093099,0.8359293,0.000010142713,0.00042106293],"genre_scores_gemma":[0.5208287,9.169722e-7,0.000005720281,0.0000072437956,0.0000481644,0.00030135983,0.47863242,0.0000025434304,0.0001729363],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9992444,0.00009914556,0.00013936627,0.00017580406,0.00021377936,0.0001275019],"domain_scores_gemma":[0.998163,0.0015551541,0.00015125223,0.00006659827,0.000019686484,0.000044315453],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00014643186,0.000055595658,0.00008094719,0.000015800648,0.001025653,0.000058932295,0.000102772145,0.000038838243,0.94444776],"category_scores_gemma":[0.00029002616,0.000051691168,0.000038499955,0.000039004513,0.00007870793,0.00014507548,0.00005071039,0.000120727505,0.00004309377],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000020281552,0.000011710675,0.41130298,0.000005260878,0.00001279995,6.336628e-8,0.00019489785,0.000004715764,0.0000013565547,0.0000046130467,0.5880611,0.00039845458],"study_design_scores_gemma":[0.000060872026,0.000013551042,0.78777826,0.0000051486086,0.0000041804255,5.0267445e-8,0.000037864553,0.000010218933,0.0000037623927,0.00014377155,0.2118985,0.000043799875],"about_ca_topic_score_codex":0.00015760624,"about_ca_topic_score_gemma":0.000052300165,"teacher_disagreement_score":0.94440466,"about_ca_system_score_codex":0.00014581258,"about_ca_system_score_gemma":0.0000709672,"threshold_uncertainty_score":0.7888597},"labels":[],"label_agreement":null},{"id":"W6976982494","doi":"10.6084/m9.figshare.20267417.v1","title":"Additional file 1 of Using combined Global Position System and accelerometer data points to examine how built environments and gentrification are associated with physical activity in four Canadian cities","year":2022,"lang":"en","type":"article","venue":"Figshare","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Memorial University of Newfoundland; University of Saskatchewan; Simon Fraser University; Université de Montréal","funders":"","keywords":"Gentrification; Accelerometer; Census; Position (finance); Physical activity; Built environment","score_opus":0.08692484223625073,"score_gpt":0.2691514810314124,"score_spread":0.18222663879516166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6976982494","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44190437,0.000001829886,1.6750917e-7,0.00006194966,0.0000037857787,0.00013311428,0.5578473,0.0000045630445,0.00004287332],"genre_scores_gemma":[0.6572649,4.9418578e-8,0.000017473014,0.000011993914,0.000012843779,0.00006882288,0.3425934,0.0000025831655,0.00002794801],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9992318,0.00010494974,0.00005894009,0.00021718265,0.00024746385,0.00013967446],"domain_scores_gemma":[0.99951726,0.00014751709,0.00010474288,0.00011627051,0.000021383978,0.00009284605],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00005648161,0.00006412137,0.00011248776,0.00004176845,0.00024483248,0.000042336094,0.00014434672,0.000030053723,0.15421917],"category_scores_gemma":[0.00028615046,0.00006835061,0.000009361515,0.00021129212,0.000021676793,0.0003054326,0.00006635343,0.00006106833,0.00000193424],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011713432,0.000362992,0.18841216,0.00019992399,0.00008370152,0.000052895884,0.00141558,0.0000144766145,0.000112241905,0.000012175319,0.80781955,0.0013971754],"study_design_scores_gemma":[0.00015434442,0.00002824127,0.99561805,0.00030060002,0.0000074732525,4.5612794e-7,0.00058274495,0.000456176,0.0000057918114,0.000007350598,0.002758562,0.00008019477],"about_ca_topic_score_codex":0.0075483783,"about_ca_topic_score_gemma":0.06486649,"teacher_disagreement_score":0.8072059,"about_ca_system_score_codex":0.00042218636,"about_ca_system_score_gemma":0.00013135665,"threshold_uncertainty_score":0.99906045},"labels":[],"label_agreement":null},{"id":"W6977068086","doi":"10.6084/m9.figshare.20115644","title":"Additional file 1 of Cross-sectional and longitudinal associations between the built environment and walking: effect modification by socioeconomic status","year":2022,"lang":"en","type":"article","venue":"Figshare","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Alberta Health Services; University of Calgary","funders":"","keywords":"Walkability; Built environment; Table (database); Socioeconomic status; Baseline (sea); Longitudinal study","score_opus":0.04465227531537883,"score_gpt":0.3044337207825933,"score_spread":0.25978144546721443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6977068086","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16336878,0.000066319546,2.089332e-7,0.000054477612,0.000008793638,0.00014093099,0.8359293,0.000010142713,0.00042106293],"genre_scores_gemma":[0.5208287,9.169722e-7,0.000005720281,0.0000072437956,0.0000481644,0.00030135983,0.47863242,0.0000025434304,0.0001729363],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9992444,0.00009914556,0.00013936627,0.00017580406,0.00021377936,0.0001275019],"domain_scores_gemma":[0.998163,0.0015551541,0.00015125223,0.00006659827,0.000019686484,0.000044315453],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00014643186,0.000055595658,0.00008094719,0.000015800648,0.001025653,0.000058932295,0.000102772145,0.000038838243,0.94444776],"category_scores_gemma":[0.00029002616,0.000051691168,0.000038499955,0.000039004513,0.00007870793,0.00014507548,0.00005071039,0.000120727505,0.00004309377],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000020281552,0.000011710675,0.41130298,0.000005260878,0.00001279995,6.336628e-8,0.00019489785,0.000004715764,0.0000013565547,0.0000046130467,0.5880611,0.00039845458],"study_design_scores_gemma":[0.000060872026,0.000013551042,0.78777826,0.0000051486086,0.0000041804255,5.0267445e-8,0.000037864553,0.000010218933,0.0000037623927,0.00014377155,0.2118985,0.000043799875],"about_ca_topic_score_codex":0.00015760624,"about_ca_topic_score_gemma":0.000052300165,"teacher_disagreement_score":0.94440466,"about_ca_system_score_codex":0.00014581258,"about_ca_system_score_gemma":0.0000709672,"threshold_uncertainty_score":0.7888597},"labels":[],"label_agreement":null},{"id":"W6977085698","doi":"10.6084/m9.figshare.29288439","title":"Additional file 14 of Cycling infrastructure as a determinant of cycling for recreation and transportation in Montréal, Canada: a natural experiment using the longitudinal national population health survey","year":2025,"lang":"en","type":"article","venue":"Figshare","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Health Canada; Queen's University; Université de Sherbrooke; McGill University; Public Health Agency of Canada; University of Ottawa","funders":"","keywords":"Cycling; Recreation; Population; Natural (archaeology); Population health","score_opus":0.04169696671424559,"score_gpt":0.3442668459897235,"score_spread":0.3025698792754779,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6977085698","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34005463,0.00027742574,0.0000082607385,0.00006631767,0.000035203964,0.00037836714,0.6591543,0.000004385138,0.000021112324],"genre_scores_gemma":[0.7293393,0.0000015177014,0.0002666417,0.000026353278,0.000019905288,0.00006317871,0.27026746,0.0000022331942,0.000013402213],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9991244,0.000064566055,0.00031329668,0.00013691018,0.00025487493,0.00010593219],"domain_scores_gemma":[0.9988051,0.00067404314,0.00023692273,0.00004175939,0.00022037036,0.00002178457],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00017428,0.000062453,0.00013273266,0.000052985917,0.00020897493,0.000012888159,0.00006569246,0.000046558638,0.021970825],"category_scores_gemma":[0.00091288664,0.00005436554,0.000030802254,0.00020903957,0.00001634806,0.00014252686,0.0000036532795,0.0000643973,5.815753e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042171057,0.00014142759,0.30310932,0.00092160277,0.00007571398,0.0000023747468,0.00746404,0.0040897164,0.0001222512,0.00028501396,0.67392546,0.009441351],"study_design_scores_gemma":[0.00013941368,0.000008355926,0.9956061,0.0008309857,0.000003247395,6.962813e-8,0.00035189677,0.0015084125,0.00005814788,0.00021938069,0.0012253721,0.000048606023],"about_ca_topic_score_codex":0.42422694,"about_ca_topic_score_gemma":0.9219983,"teacher_disagreement_score":0.6924968,"about_ca_system_score_codex":0.0002189126,"about_ca_system_score_gemma":0.0010679633,"threshold_uncertainty_score":0.9789232},"labels":[],"label_agreement":null},{"id":"W6977094907","doi":"10.6084/m9.figshare.29288406","title":"Additional file 3 of Cycling infrastructure as a determinant of cycling for recreation and transportation in Montréal, Canada: a natural experiment using the longitudinal national population health survey","year":2025,"lang":"en","type":"article","venue":"Figshare","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Health Canada; Queen's University; Université de Sherbrooke; McGill University; Public Health Agency of Canada; University of Ottawa","funders":"","keywords":"Cycling; Recreation; Population; Natural (archaeology); Population health","score_opus":0.04119611340378067,"score_gpt":0.3428595103499996,"score_spread":0.30166339694621896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6977094907","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21949495,0.00020092085,0.000005110998,0.00005007113,0.000025350339,0.00031837742,0.7798826,0.000003679111,0.00001892684],"genre_scores_gemma":[0.6535312,0.0000011158606,0.00026355404,0.000022974946,0.000017511584,0.00006884248,0.3460801,0.0000019545346,0.000012738128],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99916404,0.00006108603,0.00030101446,0.00013157929,0.0002402074,0.000102096565],"domain_scores_gemma":[0.99868226,0.0008229302,0.00023322369,0.00004013173,0.00020060675,0.000020829317],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001484383,0.000059966573,0.00012760478,0.0000512392,0.00020118785,0.000012183892,0.00006350655,0.00004381694,0.04971085],"category_scores_gemma":[0.0010236604,0.000052146694,0.000029636049,0.00020597574,0.000015804571,0.0001362421,0.0000035192136,0.000060752573,6.4828704e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002563837,0.00008888152,0.1503431,0.00057814637,0.000048025402,0.0000014917904,0.0044659716,0.0021641126,0.000064610555,0.0001475972,0.83535993,0.006481767],"study_design_scores_gemma":[0.000119247816,0.000007798118,0.99493605,0.00090433296,0.0000028399686,6.504356e-8,0.0003732372,0.0014670778,0.000045084882,0.00019212502,0.0019056324,0.000046515488],"about_ca_topic_score_codex":0.42760694,"about_ca_topic_score_gemma":0.9175798,"teacher_disagreement_score":0.8445929,"about_ca_system_score_codex":0.00021381117,"about_ca_system_score_gemma":0.0011171297,"threshold_uncertainty_score":0.95115787},"labels":[],"label_agreement":null},{"id":"W6977292693","doi":"10.6084/m9.figshare.28681820","title":"Additional file 1 of The effectiveness of new urban trail infrastructure on physical activity and active transportation: a systematic review and meta-analysis of natural experiments","year":2025,"lang":"en","type":"article","venue":"Open MIND","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; University of Manitoba; Children's Hospital Research Institute of Manitoba","funders":"","keywords":"Natural (archaeology); Physical activity; Activity monitor; Key (lock)","score_opus":0.034437638360350326,"score_gpt":0.3532553720698616,"score_spread":0.3188177337095113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6977292693","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8761157,0.0013910425,0.0000046040736,0.000106954234,0.000021224183,0.0024620946,0.11684936,0.0000011091706,0.0030479562],"genre_scores_gemma":[0.9988142,0.0000039600563,0.00006885636,0.000011608515,0.0000031138716,0.00008155925,0.00047831095,0.0000015225975,0.00053683337],"study_design_codex":"meta_analysis","study_design_gemma":"observational","domain_scores_codex":[0.99906796,0.0003151701,0.00018036681,0.00017431132,0.00020686458,0.00005535333],"domain_scores_gemma":[0.9984979,0.0010194872,0.00024788262,0.00013997519,0.00006955509,0.000025189145],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00020682049,0.00008260155,0.00090011535,0.00003390046,0.0000663353,0.000012234005,0.00019643176,0.000033852684,0.042477366],"category_scores_gemma":[0.0001544714,0.000049927137,0.000262393,0.0004984976,0.00020180513,0.00016965726,0.000011709658,0.000066373956,1.7287425e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0037622352,0.0052686967,0.0115256505,0.23934294,0.46560928,0.0000066884304,0.13386524,0.0000772471,0.005602261,0.0029099798,0.11920539,0.012824389],"study_design_scores_gemma":[0.0003475612,0.000049168513,0.8373118,0.004378739,0.14758502,3.8865405e-8,0.0010114331,0.00001230976,0.008431432,0.00033367574,0.00038563609,0.00015315974],"about_ca_topic_score_codex":0.00026865362,"about_ca_topic_score_gemma":0.0004999944,"teacher_disagreement_score":0.8257862,"about_ca_system_score_codex":0.000015486765,"about_ca_system_score_gemma":0.0001430276,"threshold_uncertainty_score":0.9583979},"labels":[],"label_agreement":null},{"id":"W6977483425","doi":"10.6084/m9.figshare.24138861","title":"Zoning In on Transit-Oriented Development","year":2023,"lang":"en","type":"article","venue":"Figshare","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Zoning; Metropolitan area; Local government; Government (linguistics); Land use; Urban planning; Sustainability; Land-use planning; Regional planning","score_opus":0.07683647485560709,"score_gpt":0.33125905366039443,"score_spread":0.25442257880478736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6977483425","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9253115,0.00004489111,0.0000016281499,0.000564371,0.00016682966,0.00040395904,0.009892654,0.0004971564,0.063117005],"genre_scores_gemma":[0.98671496,5.9521665e-7,0.000022665708,0.00007694451,0.000052164825,0.00005862728,0.011996005,0.000005563537,0.0010724721],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9992582,0.000026220985,0.000113956194,0.0001585786,0.00021223754,0.00023079448],"domain_scores_gemma":[0.99977916,0.000057086898,0.000019163554,0.000068088666,0.000023523327,0.000052969728],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00012356431,0.000053802076,0.000067346264,0.00007101963,0.0001763611,0.000022039694,0.00012998814,0.00005173355,0.049663745],"category_scores_gemma":[0.00017506312,0.000053123193,0.00002468525,0.0006044201,0.000006493303,0.00009616559,0.000008592703,0.000087199296,0.0020630662],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009719642,0.00044537793,0.2876963,0.000427376,0.00003903481,0.00057947525,0.20669585,0.0003134484,0.000103576174,0.0010242618,0.37377712,0.12880097],"study_design_scores_gemma":[0.00014244053,0.0000059333793,0.5918214,0.00044390108,6.202132e-7,1.3227692e-8,0.0006018805,0.000018032682,0.00026499192,0.000037228507,0.40655944,0.0001041743],"about_ca_topic_score_codex":0.00008013641,"about_ca_topic_score_gemma":0.0032676547,"teacher_disagreement_score":0.30412504,"about_ca_system_score_codex":0.00005696141,"about_ca_system_score_gemma":0.00013708237,"threshold_uncertainty_score":0.99871397},"labels":[],"label_agreement":null},{"id":"W6977520984","doi":"10.6084/m9.figshare.29288400.v1","title":"Additional file 1 of Cycling infrastructure as a determinant of cycling for recreation and transportation in Montréal, Canada: a natural experiment using the longitudinal national population health survey","year":2025,"lang":"en","type":"article","venue":"Figshare","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Health Canada; Queen's University; Université de Sherbrooke; McGill University; Public Health Agency of Canada; University of Ottawa","funders":"","keywords":"Cycling; Recreation; Population; Natural (archaeology); Population health","score_opus":0.041874900242153915,"score_gpt":0.3433080523487673,"score_spread":0.3014331521066134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6977520984","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21816619,0.00019979189,0.000005080175,0.00005020903,0.000025115241,0.00031798476,0.78121316,0.000003678499,0.000018808858],"genre_scores_gemma":[0.6517225,0.0000011003818,0.00026569693,0.000022946251,0.000017309285,0.00006981628,0.34788617,0.0000019509243,0.000012506474],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99916404,0.000061135856,0.0003009005,0.00013162778,0.00024016558,0.00010210307],"domain_scores_gemma":[0.99867755,0.0008291508,0.00023319219,0.00004018278,0.00019911857,0.00002083079],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00014849534,0.000059973732,0.00012759374,0.000051253704,0.00020120252,0.00001216271,0.000063540436,0.000043820102,0.05071838],"category_scores_gemma":[0.0010238932,0.000052157964,0.000029637653,0.00020604054,0.000015803618,0.00013615328,0.0000035213716,0.0000607631,6.423366e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024825396,0.000086536165,0.1461496,0.00055464933,0.00004677212,0.0000014371558,0.004346176,0.0021055876,0.000062747094,0.00014441043,0.8400233,0.006230537],"study_design_scores_gemma":[0.00011785342,0.000007806611,0.994969,0.0009058719,0.0000028615152,6.5556385e-8,0.00037470798,0.0014649547,0.00004426712,0.00019163129,0.0018744651,0.00004650658],"about_ca_topic_score_codex":0.4252663,"about_ca_topic_score_gemma":0.91714454,"teacher_disagreement_score":0.8488194,"about_ca_system_score_codex":0.00021309471,"about_ca_system_score_gemma":0.0011166068,"threshold_uncertainty_score":0.9501494},"labels":[],"label_agreement":null},{"id":"W6977576015","doi":"10.6084/m9.figshare.29288424","title":"Additional file 9 of Cycling infrastructure as a determinant of cycling for recreation and transportation in Montréal, Canada: a natural experiment using the longitudinal national population health survey","year":2025,"lang":"en","type":"article","venue":"Figshare","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Health Canada; Queen's University; Université de Sherbrooke; McGill University; Public Health Agency of Canada; University of Ottawa","funders":"","keywords":"Cycling; Recreation; Population; Natural (archaeology); Population health","score_opus":0.04121020384626937,"score_gpt":0.34299937875676384,"score_spread":0.30178917491049445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6977576015","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2200869,0.00020220397,0.0000051546854,0.00005044382,0.000025236764,0.0003194421,0.779288,0.0000036947197,0.000018946663],"genre_scores_gemma":[0.6543204,0.0000011168779,0.00026376473,0.00002302699,0.000017374676,0.00006847944,0.3452914,0.0000019547178,0.000012485375],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99916387,0.00006112216,0.00030109604,0.0001315891,0.00024019205,0.00010210784],"domain_scores_gemma":[0.9986836,0.00082343665,0.0002332277,0.0000401335,0.00019882634,0.000020830112],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00014857925,0.000059971335,0.00012763246,0.000051258437,0.00020128491,0.000012186738,0.00006348658,0.00004381437,0.048872206],"category_scores_gemma":[0.001014998,0.00005215295,0.0000296392,0.00020600199,0.00001580752,0.00013626883,0.0000035192154,0.000060741735,6.35519e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025647425,0.00008935859,0.15100244,0.00057729485,0.000048262333,0.0000015034308,0.0044941492,0.002175006,0.00006445391,0.00015041512,0.83468133,0.0064593093],"study_design_scores_gemma":[0.00011864923,0.000007815964,0.9949997,0.0009063191,0.00000285668,6.557642e-8,0.00037403978,0.0014708069,0.000044575707,0.00019364667,0.0018350477,0.000046493187],"about_ca_topic_score_codex":0.42342597,"about_ca_topic_score_gemma":0.91792977,"teacher_disagreement_score":0.84399724,"about_ca_system_score_codex":0.00021313719,"about_ca_system_score_gemma":0.0011145103,"threshold_uncertainty_score":0.9519973},"labels":[],"label_agreement":null},{"id":"W6977691608","doi":"10.6084/m9.figshare.24546979","title":"Additional file 1 of Work, travel, or leisure: comparing domain-specific physical activity patterns based on rural–urban location in Canada","year":2023,"lang":"en","type":"article","venue":"Figshare","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Northern British Columbia; University of British Columbia","funders":"","keywords":"Physical activity; Data file; Data collection; Key (lock); Identification (biology)","score_opus":0.06501383528858501,"score_gpt":0.27185727673182525,"score_spread":0.20684344144324024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6977691608","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1283531,0.0000013060055,0.000001104867,0.00006462288,0.000025559139,0.000154027,0.8698262,0.000026768053,0.0015473008],"genre_scores_gemma":[0.6535507,8.538382e-8,0.000005843266,0.000009599716,0.000093816605,0.00015145322,0.3460356,0.0000048843845,0.00014807151],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9990135,0.00006485529,0.0001155232,0.0001778701,0.00040761207,0.00022066657],"domain_scores_gemma":[0.99860966,0.0010534135,0.00008456385,0.00012856144,0.00005777984,0.00006603218],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00003873597,0.000088170564,0.0001658635,0.0000471041,0.00010897406,0.000021121916,0.0001872765,0.000041197392,0.8745759],"category_scores_gemma":[0.00013434286,0.00008207697,0.000043038657,0.0007280293,0.000016710239,0.000117068426,0.000011589453,0.00013910736,0.00016863261],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030485544,0.00006669598,0.013820727,0.000038739578,0.0000020045568,0.000007641246,0.00018003152,0.00006360333,9.4412303e-7,0.0000034046618,0.9844019,0.0013838556],"study_design_scores_gemma":[0.000113215996,0.00000924566,0.8653926,0.0009729827,7.360459e-7,1.044005e-8,0.0003648395,0.00041263748,0.00002317067,0.0000064436595,0.13261066,0.000093429495],"about_ca_topic_score_codex":0.11783886,"about_ca_topic_score_gemma":0.81798327,"teacher_disagreement_score":0.8744073,"about_ca_system_score_codex":0.0002894068,"about_ca_system_score_gemma":0.0009813568,"threshold_uncertainty_score":0.88803554},"labels":[],"label_agreement":null},{"id":"W6977796835","doi":"10.7939/r3ft8dk0s","title":"Check the score: Field validation of Street Smart Walk Score in Alberta, Canada","year":2016,"lang":"en","type":"article","venue":"University of Alberta Library","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Field (mathematics); Measure (data warehouse); Data collection; Global Positioning System","score_opus":0.011431537502635411,"score_gpt":0.19388275030877278,"score_spread":0.18245121280613735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6977796835","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.955779,0.000013074417,0.000005263678,0.010457294,0.00007777324,0.00011631926,0.0000066300217,0.0000051740717,0.03353946],"genre_scores_gemma":[0.9877302,0.000024493096,0.000020568059,0.00009035615,0.000020938867,8.922607e-8,0.000010113728,0.0000033317992,0.012099913],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99932224,0.000074339216,0.00012677636,0.0001426038,0.00018771735,0.00014631926],"domain_scores_gemma":[0.99906474,0.000566862,0.0001020002,0.0001897329,0.000020877122,0.000055755714],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000084702595,0.00006295603,0.00012496079,0.000037441874,0.00011291299,0.0000063739044,0.0004492105,0.00006539763,0.0014658768],"category_scores_gemma":[0.00005925881,0.00004663162,0.000051135474,0.00022249925,0.0002115754,0.000707363,0.00004615384,0.000058412188,0.0000020469163],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004088383,0.000027405738,0.98882693,0.0000100798525,0.000009688055,0.0000023076134,0.0034410574,0.0000011930556,0.00001876509,0.002141152,0.004921504,0.0005590112],"study_design_scores_gemma":[0.00047683684,0.00003287144,0.9591202,0.00012296835,0.000021580845,4.3672987e-8,0.0031702819,0.0000043925293,0.006072966,0.00090706226,0.029931536,0.00013923128],"about_ca_topic_score_codex":0.9775427,"about_ca_topic_score_gemma":0.99527746,"teacher_disagreement_score":0.031951185,"about_ca_system_score_codex":0.00003230849,"about_ca_system_score_gemma":0.00069843134,"threshold_uncertainty_score":0.9994469},"labels":[],"label_agreement":null},{"id":"W6980089086","doi":"","title":"The Association of the Built Environment with Body Mass Measures in Survivors of Childhood Brain Tumors and Non-Cancer Controls","year":2024,"lang":"en","type":"dissertation","venue":"MacSphere (McMaster University)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Built environment; Body mass index; Walkability; Obesity; Percentile; Value (mathematics); Prospective cohort study; Poison control; Cohort study","score_opus":0.005728337434197326,"score_gpt":0.2070894549172656,"score_spread":0.20136111748306829,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6980089086","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8946706,0.00051827775,0.000009876639,0.0005722161,0.00020098244,0.000642004,0.00005259601,0.000010464045,0.10332298],"genre_scores_gemma":[0.83665895,0.00016152821,0.0000054229286,0.000009800897,0.000026194592,0.0000026767493,0.000008687015,0.000011118881,0.16311564],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985677,0.00021806239,0.00022291533,0.0002616412,0.00052326784,0.00020638826],"domain_scores_gemma":[0.99919426,0.00016982519,0.0003845251,0.00015595074,0.000056414217,0.000039047023],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00048915227,0.0001576074,0.00028254394,0.000057132733,0.00020437725,0.000041943815,0.0003878114,0.00017241608,0.0009900908],"category_scores_gemma":[0.000026265272,0.000105492225,0.00010048039,0.00038011206,0.00018772211,0.00012654751,0.000023385484,0.00026527682,9.3075283e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019859933,0.00006270369,0.9724646,0.00011911334,0.00018994024,0.000004332669,0.011092261,0.000043510827,0.00030651304,0.00044712657,0.000049077007,0.015022187],"study_design_scores_gemma":[0.000611604,0.000033657314,0.95569825,0.0003251578,0.00019082482,1.8770528e-8,0.018202614,0.0000090925905,0.00033762187,0.00029270802,0.02413912,0.00015934155],"about_ca_topic_score_codex":0.01002884,"about_ca_topic_score_gemma":0.3064877,"teacher_disagreement_score":0.29645887,"about_ca_system_score_codex":0.00023562815,"about_ca_system_score_gemma":0.00024912725,"threshold_uncertainty_score":0.9999231},"labels":[],"label_agreement":null},{"id":"W6980218575","doi":"","title":"Bicycles for Mutual Aid: A Participatory Action Research Project with the Toronto Bike Brigade","year":2022,"lang":"en","type":"other","venue":"York University Digital Library (York University)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Participatory action research; Work (physics); General partnership; Action research; Action (physics); Citizen journalism; Sustainable development","score_opus":0.09971525816213414,"score_gpt":0.29965692480902834,"score_spread":0.1999416666468942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6980218575","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014319753,0.00032493816,0.000050144456,0.00048390115,0.00019030856,0.001628548,0.0018284447,0.0007607269,0.98041326],"genre_scores_gemma":[0.055285208,0.00012988239,0.00010092904,0.00004542652,0.00038507165,0.0000024030724,0.0005025803,0.00014681427,0.9434017],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9972391,0.00046351444,0.00011285316,0.00073454384,0.0007272619,0.0007227265],"domain_scores_gemma":[0.99871343,0.00032202335,0.00019782312,0.00048842095,0.00004474753,0.00023356499],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00020851626,0.0003025318,0.0003227859,0.0005092208,0.0020003382,0.00036008982,0.0016484986,0.00031883328,0.0038416917],"category_scores_gemma":[0.000015025289,0.00028195046,0.00024758079,0.0016413626,0.0013797631,0.0024555665,0.0003335145,0.00050241273,0.000029916779],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001012594,0.0002687033,0.026232958,0.00009218477,0.00024758765,0.00014121084,0.0039795963,0.0000022472932,9.2667904e-7,0.010172164,0.9563859,0.0014639009],"study_design_scores_gemma":[0.0005802823,0.00015935383,0.0004921397,0.000047615584,0.00009441935,3.2846205e-7,0.09245449,0.0000017700429,0.0000025744725,0.00005002049,0.9057689,0.00034813737],"about_ca_topic_score_codex":0.00809733,"about_ca_topic_score_gemma":0.036359075,"teacher_disagreement_score":0.0884749,"about_ca_system_score_codex":0.00063667103,"about_ca_system_score_gemma":0.0017708301,"threshold_uncertainty_score":0.9999633},"labels":[],"label_agreement":null},{"id":"W6980224234","doi":"","title":"Bicycle commuting: developing an effective and comprehensive active transportation network in Winnipeg, Canada","year":2013,"lang":"en","type":"dissertation","venue":"Mspace (University of Manitoba)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Transportation planning; Public transport; Key (lock); Order (exchange); Public policy","score_opus":0.014809780470834893,"score_gpt":0.23800216665843785,"score_spread":0.22319238618760295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6980224234","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99705935,0.00015755558,0.000030314353,0.00022020514,0.00024176006,0.00066703465,0.000030087669,0.000027199329,0.0015664716],"genre_scores_gemma":[0.9988693,0.000067716195,0.00031497676,0.00002384115,0.00005297152,0.0000013768733,0.00045718878,0.000012188948,0.00020043118],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987386,0.00020265514,0.00012978878,0.0003313318,0.00030691226,0.00029074444],"domain_scores_gemma":[0.9991107,0.00014586467,0.00027441274,0.0001300574,0.00023674608,0.000102229926],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00014634815,0.00018193472,0.00037564948,0.000096162286,0.000567102,0.00002331874,0.0002696329,0.00023549548,0.000013101785],"category_scores_gemma":[0.000009975223,0.00024847747,0.00004742883,0.00034455233,0.00016769383,0.0004836871,0.0000082359375,0.00029945673,0.0000010884157],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023417291,0.000050874194,0.96556103,0.00026231547,0.00007904892,0.000037277285,0.024617508,0.000096528674,0.00006821959,0.00055832387,0.00037319053,0.008061507],"study_design_scores_gemma":[0.0002815586,0.000022458888,0.8377396,0.0001696777,0.00004673697,3.3290736e-8,0.16013274,0.000028158462,0.000035773523,0.00023314469,0.0010934549,0.00021669541],"about_ca_topic_score_codex":0.9617196,"about_ca_topic_score_gemma":0.9999506,"teacher_disagreement_score":0.13551523,"about_ca_system_score_codex":0.000403646,"about_ca_system_score_gemma":0.0005956313,"threshold_uncertainty_score":0.9999967},"labels":[],"label_agreement":null},{"id":"W6980250837","doi":"","title":"Bicycling renaissance in North America? Recent trends and alternative policies to promote bicycling","year":2007,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":85,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"TRIPS architecture; Cycling; Enforcement; Transport policy; Mode choice; The Renaissance; Mode of transport","score_opus":0.039625034400871596,"score_gpt":0.3564947082097846,"score_spread":0.316869673808913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6980250837","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9665311,0.00011922776,0.0006440451,0.0023199946,0.00011046392,0.0001462035,0.0000037409511,0.000064067295,0.030061167],"genre_scores_gemma":[0.996816,0.00013165666,0.0016450228,0.00040942317,0.00017907312,0.0000046472924,0.000003270778,0.0000072464027,0.0008036869],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99867594,0.00003589236,0.00029434168,0.00031459343,0.00024779598,0.0004314563],"domain_scores_gemma":[0.9994994,0.00007067902,0.00007242395,0.00011956846,0.00005182493,0.00018610142],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006186115,0.000107899985,0.00017328539,0.0002367805,0.00021457682,0.000057251244,0.00018622156,0.000042859378,0.00011568275],"category_scores_gemma":[0.00010487715,0.00009464437,0.000028652485,0.0014473832,0.00019325466,0.00023693596,0.000028929642,0.00012132042,0.0000060197804],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002300275,0.00004414382,0.79158866,0.0000032381627,0.000004097996,0.0000065450517,0.022301234,0.00001779314,0.000094154115,0.00013726912,0.00003375613,0.18574613],"study_design_scores_gemma":[0.00015059677,0.000031343956,0.9631372,0.000019953006,0.000003911311,6.738698e-8,0.0021792308,0.000025900958,0.00057650055,0.00027495567,0.0334368,0.00016353928],"about_ca_topic_score_codex":0.02619856,"about_ca_topic_score_gemma":0.31174788,"teacher_disagreement_score":0.2855493,"about_ca_system_score_codex":0.00009535126,"about_ca_system_score_gemma":0.000033148637,"threshold_uncertainty_score":0.98028606},"labels":[],"label_agreement":null},{"id":"W6980392834","doi":"","title":"Canadian military historian Tim Cook shares stories of Canadian bravery and why we need to remember them. Plus, Bagpipes and why they are so important to Remembrance Day.","year":2021,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Club; Artifact (error); Government (linguistics); Performance art; Gold rush","score_opus":0.010801158420611577,"score_gpt":0.19985082591315034,"score_spread":0.18904966749253876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6980392834","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0025429258,0.0034885092,9.9392935e-8,0.004188444,0.00043772507,0.0006879639,0.0010276963,0.000043312208,0.98758334],"genre_scores_gemma":[0.01728066,0.0014251365,0.0003525719,0.0016530063,0.0002568034,0.00001579875,0.0001805475,0.00006882644,0.9787666],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99791265,0.00010520052,0.00065291335,0.00035550445,0.00047163208,0.0005020795],"domain_scores_gemma":[0.99809676,0.00008666365,0.00030771582,0.00037872908,0.00027929788,0.0008508423],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004993865,0.00033153887,0.0005807142,0.0002804917,0.00032895282,0.0000810642,0.00037741117,0.0003992652,0.09129002],"category_scores_gemma":[0.00025779288,0.0003428159,0.00009176924,0.00005308533,0.0002653439,0.000001933863,0.00004606937,0.00020607482,0.00008894462],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003849931,0.000008822829,0.0013371861,0.0004366851,0.000042524745,0.00003123523,0.009067714,0.000017825558,5.787798e-7,0.00004286737,0.98865974,0.0003163161],"study_design_scores_gemma":[0.00018181001,0.000034913013,0.0007927148,0.0005626288,0.000041161995,0.0000031677173,0.0032393741,0.0000014088345,0.0000034726586,0.000019375102,0.9947511,0.0003688891],"about_ca_topic_score_codex":0.993036,"about_ca_topic_score_gemma":0.99964005,"teacher_disagreement_score":0.091201074,"about_ca_system_score_codex":0.00038392865,"about_ca_system_score_gemma":0.0009383621,"threshold_uncertainty_score":0.99990237},"labels":[],"label_agreement":null},{"id":"W6980781727","doi":"","title":"Cycling in Winter: Exploring innovative design principles and practices to support all season bicycle commuting for Winnipeg and Winter Cities worldwide","year":2014,"lang":"en","type":"other","venue":"eScholarship@McGill (McGill)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cycling; Design elements and principles; Work (physics); Climate change; Urban design","score_opus":0.12641408759274927,"score_gpt":0.3400803768362122,"score_spread":0.2136662892434629,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6980781727","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8406461,0.00032363972,0.00003981686,0.0002871608,0.000563581,0.0021933527,0.000322804,0.00036251175,0.15526105],"genre_scores_gemma":[0.9668344,0.00016072298,0.0061210096,0.0005796201,0.00021826656,0.0003147502,0.00004441825,0.00033464606,0.025392156],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9960676,0.00061315764,0.0008072243,0.0011113419,0.00049867993,0.00090199156],"domain_scores_gemma":[0.9968776,0.0011911534,0.0009810495,0.00042852055,0.00019515152,0.00032650225],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0042083026,0.0005841821,0.00082784134,0.00061485235,0.0008301047,0.0003050306,0.0006129596,0.00040834298,0.00019594959],"category_scores_gemma":[0.0023014382,0.00060588634,0.0001045101,0.0006139245,0.00034687092,0.0013157652,0.00027840975,0.0008310933,0.000015918717],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019330193,0.0009496394,0.55290884,0.003925093,0.001464874,0.00019851814,0.0067310147,0.000101773396,0.006468426,0.059306584,0.0011040482,0.36490816],"study_design_scores_gemma":[0.0014448302,0.00032782796,0.021148115,0.0024418423,0.00016803709,0.0000031993466,0.0045107724,0.00002409356,0.0026786653,0.004417542,0.96117425,0.0016608362],"about_ca_topic_score_codex":0.002720675,"about_ca_topic_score_gemma":0.036317818,"teacher_disagreement_score":0.9600702,"about_ca_system_score_codex":0.00032275205,"about_ca_system_score_gemma":0.00007775256,"threshold_uncertainty_score":0.9996393},"labels":[],"label_agreement":null},{"id":"W6981709448","doi":"","title":"Exploring the Scale-up of a Free Community-Based Physical Activity Intervention to Rural and Smaller Urban Settings in Southwestern Ontario","year":2024,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Physical activity; Context (archaeology); Psychological intervention; Intervention (counseling); Public health; Rural area; Built environment; Focus group; Longitudinal study","score_opus":0.1522146867810236,"score_gpt":0.3342928259166751,"score_spread":0.1820781391356515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6981709448","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998379,0.000017659622,0.00014999275,0.0005233946,0.0002842313,0.00038912427,0.000029830777,0.00010801185,0.000118778196],"genre_scores_gemma":[0.99848175,0.0000027585531,0.000008387706,0.00006299659,0.00006993148,0.0000049992877,0.000008567397,0.000019500867,0.0013411269],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978859,0.0007716926,0.00020948426,0.00034359057,0.00040460232,0.00038475744],"domain_scores_gemma":[0.9988644,0.0002896364,0.0000944697,0.0004931154,0.000078689874,0.00017968244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011498675,0.00022260501,0.00030043573,0.00034434767,0.0004529249,0.0003381327,0.0009340722,0.00009604603,0.000013463535],"category_scores_gemma":[0.00003553909,0.0002078505,0.00018827562,0.0006917171,0.00035668098,0.002172005,0.0003112229,0.0010486628,0.000012698741],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016418257,0.00021560681,0.9425972,0.00013661804,0.000025289182,0.000020464056,0.05425723,0.000005551142,0.00027586773,0.000039304476,3.413204e-7,0.0022623567],"study_design_scores_gemma":[0.0006502355,0.0001043644,0.9906131,0.00068854477,0.00006335116,4.1789662e-7,0.0060970658,9.4002627e-7,0.0008418429,0.00012038098,0.00060083205,0.00021894027],"about_ca_topic_score_codex":0.01398198,"about_ca_topic_score_gemma":0.7608228,"teacher_disagreement_score":0.74684083,"about_ca_system_score_codex":0.00037990892,"about_ca_system_score_gemma":0.00017552977,"threshold_uncertainty_score":0.992584},"labels":[],"label_agreement":null},{"id":"W6983821266","doi":"","title":"Northward Gulf Stream Migration During the Little Ice Age Revealed Using Monthly-Scale Geochemistry of a Bermudan Stalagmite","year":2025,"lang":"en","type":"other","venue":"Durham e-Theses (Durham University)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Overprinting; Sea surface temperature; Period (music); Northern Hemisphere; Sea ice","score_opus":0.01129443838184678,"score_gpt":0.23285995362854658,"score_spread":0.22156551524669982,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6983821266","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.46127918,0.0004594122,0.00006296633,0.00011276477,0.0002037269,0.00057314354,0.0006777138,0.0002013898,0.5364297],"genre_scores_gemma":[0.3835899,0.00038473168,0.00024716178,0.000017102693,0.000321459,0.0000019885997,0.0001256487,0.0000828479,0.6152292],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976665,0.00022822492,0.00036503366,0.0006612622,0.0005690699,0.00050990254],"domain_scores_gemma":[0.99822205,0.00014265635,0.0005489687,0.0007575334,0.00017155775,0.00015724578],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00026668631,0.00039589437,0.000581124,0.0003939643,0.00062188803,0.000083544226,0.000996854,0.0005274762,0.0013517482],"category_scores_gemma":[0.00008127091,0.0003802509,0.00037833417,0.0010988987,0.00077542185,0.0002580218,0.00016135816,0.0003931751,0.000007698605],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00129606,0.0028092447,0.87321675,0.007084612,0.0028210043,0.002096097,0.043560974,0.00047060635,0.011529178,0.0031835136,0.047707677,0.004224277],"study_design_scores_gemma":[0.0013968785,0.000045921595,0.03633779,0.0019198441,0.00096394925,0.0000015171121,0.014531029,0.000055194083,0.0026890468,0.00028191815,0.9403819,0.001395054],"about_ca_topic_score_codex":0.03957366,"about_ca_topic_score_gemma":0.11798286,"teacher_disagreement_score":0.8926742,"about_ca_system_score_codex":0.00034536544,"about_ca_system_score_gemma":0.00056916184,"threshold_uncertainty_score":0.99986494},"labels":[],"label_agreement":null},{"id":"W6986278810","doi":"","title":"Perceptions of Service Accessibility in Ottawa's First-Ring Suburbs","year":2012,"lang":"en","type":"other","venue":"eScholarship@McGill (McGill)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Perception; Service (business); Public transport; Service quality; Service provider","score_opus":0.0252606827489824,"score_gpt":0.28355446528053807,"score_spread":0.25829378253155566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6986278810","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39306173,0.0003583834,2.8695183e-7,0.00006949627,0.0006118152,0.0007306866,0.0008939288,0.00030935506,0.6039643],"genre_scores_gemma":[0.921221,0.00016745977,0.0004211944,0.00016432881,0.0002074316,0.00008213831,0.00009596836,0.00034475856,0.07729571],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9949495,0.0006435558,0.0011216275,0.001132952,0.0010210301,0.0011313173],"domain_scores_gemma":[0.9971202,0.00024891683,0.00072870083,0.001169769,0.00024357215,0.0004888415],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0026125798,0.0006397769,0.0010067915,0.0005523429,0.000899764,0.0000691121,0.001601407,0.0012292067,0.014128236],"category_scores_gemma":[0.00039651155,0.0006799324,0.000372191,0.0013009544,0.00042583857,0.0011463346,0.00022613873,0.0012585305,0.00032865562],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013561829,0.0030928224,0.875119,0.0033763095,0.00036204522,0.00005413347,0.0006669306,0.000013596234,0.0019564056,0.055661403,0.00044831668,0.059113473],"study_design_scores_gemma":[0.0009750419,0.000033433877,0.31974962,0.0009388845,0.00020921184,8.841248e-7,0.00078731234,0.00000362336,0.0005437086,0.006357664,0.6690197,0.0013808982],"about_ca_topic_score_codex":0.057855025,"about_ca_topic_score_gemma":0.49851465,"teacher_disagreement_score":0.6685714,"about_ca_system_score_codex":0.0007716908,"about_ca_system_score_gemma":0.0001288031,"threshold_uncertainty_score":0.9995652},"labels":[],"label_agreement":null},{"id":"W6986407666","doi":"","title":"Physical versus behavioural emissions reductions: Quantifying and comparing emissions reduced by behaviour and emissions reduced by technology of net-zero communities","year":2023,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Greenhouse gas; Climate change; Behaviour change; Resource (disambiguation); Affect (linguistics)","score_opus":0.05556674055939869,"score_gpt":0.3069332390784113,"score_spread":0.2513664985190126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6986407666","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99706745,0.00042441903,0.0000014696753,0.0011798698,0.00037454406,0.00035052717,0.0001979009,0.00016673557,0.00023709678],"genre_scores_gemma":[0.9505141,0.00051297236,0.00019870908,0.0000011543023,0.000021583308,0.0000026945954,0.001355172,0.0000297954,0.047363844],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99829435,0.00015781188,0.00028946053,0.00045545888,0.00038064946,0.00042226823],"domain_scores_gemma":[0.9985444,0.00013639645,0.0004252431,0.00038920503,0.00022414535,0.000280593],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0002290977,0.00030934674,0.000703119,0.00037172184,0.001908046,0.000046358364,0.00056163466,0.0005573563,0.00007907],"category_scores_gemma":[0.00006349869,0.00035502395,0.00015728915,0.00061253726,0.0011574697,0.00034686583,0.00014058557,0.0007092796,0.0000014973884],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00060394424,0.000824062,0.18992041,0.00041761916,0.0002917671,0.000016059206,0.6365997,0.000004041778,0.15485573,0.00034902847,0.013830357,0.0022872495],"study_design_scores_gemma":[0.0010487678,0.00013910412,0.029615533,0.0007449863,0.00067232526,8.0134276e-7,0.9602566,0.00005274101,0.006520726,0.0002605109,0.00018126942,0.0005066629],"about_ca_topic_score_codex":0.16980213,"about_ca_topic_score_gemma":0.06478232,"teacher_disagreement_score":0.32365683,"about_ca_system_score_codex":0.00009183221,"about_ca_system_score_gemma":0.0002165069,"threshold_uncertainty_score":0.99989015},"labels":[],"label_agreement":null},{"id":"W6987215295","doi":"","title":"Site suitability and public participation: a study of bike sharing stations in a college town.","year":2018,"lang":"en","type":"article","venue":"Iowa State University Digital Repository (Iowa State University)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nucleofection; TSG101; Hyporeflexia; Gestational period; Articular cartilage damage; Diafiltration","score_opus":0.025161311819845798,"score_gpt":0.2487639335368103,"score_spread":0.22360262171696452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6987215295","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97139674,0.000009323293,0.00016271828,0.00006916677,0.000118350385,0.0006273796,0.00028126885,0.0001061741,0.027228847],"genre_scores_gemma":[0.98962724,0.000014517646,0.000039733226,0.0000067269657,0.000022048707,3.7798006e-7,0.0000143054185,0.000010066176,0.010264972],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977517,0.00022873306,0.00035690275,0.0006725603,0.0004576246,0.00053246954],"domain_scores_gemma":[0.99828184,0.00018695349,0.00025058677,0.00037051545,0.0005456365,0.00036444937],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002569194,0.00021017401,0.00033271656,0.0006145976,0.00093137013,0.00018056735,0.000495163,0.0000830812,0.000039975654],"category_scores_gemma":[0.00009044914,0.0002621316,0.00008466204,0.0018112083,0.0010970065,0.0030590878,0.00025786107,0.0001841648,0.000004532388],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003032319,0.00087607064,0.9656076,0.000024174342,0.000057339395,0.00026539192,0.031462006,0.0000222969,0.0000571604,0.0007204973,0.00004083002,0.00056339684],"study_design_scores_gemma":[0.0022647923,0.00051646715,0.8750144,0.00003786458,0.00007433795,8.041545e-7,0.11180148,0.00012665574,0.00007335607,0.0005755661,0.009083445,0.0004308095],"about_ca_topic_score_codex":0.009832739,"about_ca_topic_score_gemma":0.092261754,"teacher_disagreement_score":0.09059318,"about_ca_system_score_codex":0.0005734858,"about_ca_system_score_gemma":0.000440797,"threshold_uncertainty_score":0.9999831},"labels":[],"label_agreement":null},{"id":"W6987406190","doi":"","title":"Študija trajnostne mobilnosti na primeru stanovanjske soseske Škofovi zavodi v Ljubljani","year":2024,"lang":"sl","type":"dissertation","venue":"Repository of the University of Ljubljana (University of Ljubljana)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Conjunction (astronomy); Fire brigade; Quarter (Canadian coin)","score_opus":0.01096698983962177,"score_gpt":0.21783785231841588,"score_spread":0.2068708624787941,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6987406190","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9574281,0.002568725,0.00014431146,0.0011093032,0.0033264058,0.0016774986,0.0006286564,0.000170519,0.032946452],"genre_scores_gemma":[0.9334679,0.00083116104,0.0005703131,0.000018029334,0.0001711775,1.537639e-7,0.00020516811,0.00008311785,0.06465296],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9919537,0.0008801249,0.0012464038,0.0019058782,0.002876709,0.001137243],"domain_scores_gemma":[0.9913979,0.0004981359,0.0036008244,0.00209242,0.0018327952,0.00057788676],"candidate_categories":["metaepi_narrow","sts","open_science","research_integrity"],"consensus_categories":["sts"],"category_scores_codex":[0.001337973,0.0011269972,0.002506436,0.0009560684,0.0030401875,0.0000806399,0.0054317378,0.0016034181,0.00086892466],"category_scores_gemma":[0.000110228204,0.0013201504,0.002913864,0.0028660828,0.0052901492,0.0014365917,0.0007265422,0.001624273,0.000058764614],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0094725955,0.009565963,0.2402701,0.023815082,0.0156081095,0.0022515606,0.5875527,0.00092710374,0.06138296,0.010589336,0.025904521,0.012659961],"study_design_scores_gemma":[0.0044568507,0.0012393919,0.40419143,0.005689114,0.010535147,0.00001962554,0.5235267,0.0006590671,0.009827799,0.0007412419,0.036145795,0.0029677958],"about_ca_topic_score_codex":0.036747538,"about_ca_topic_score_gemma":0.013111467,"teacher_disagreement_score":0.16392134,"about_ca_system_score_codex":0.0009806515,"about_ca_system_score_gemma":0.0031614965,"threshold_uncertainty_score":0.99994934},"labels":[],"label_agreement":null},{"id":"W6987632151","doi":"","title":"Tools for results-based transportation engineering and planning for remote communities in northern Canada","year":2006,"lang":"en","type":"dissertation","venue":"Mspace (University of Manitoba)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Transportation planning; Field (mathematics)","score_opus":0.023360445138759803,"score_gpt":0.234917905582416,"score_spread":0.2115574604436562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6987632151","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968213,0.00009957937,0.0012586028,0.00020022405,0.0001534064,0.0005398047,0.0004901616,0.000022534192,0.00041439224],"genre_scores_gemma":[0.99399716,0.000009332969,0.0017382624,0.0000061927785,0.000040407936,0.0000010608985,0.0038940809,0.000012462747,0.00030102668],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99934083,0.00002196049,0.00013255789,0.00015056612,0.00017042657,0.00018365888],"domain_scores_gemma":[0.99920756,0.00032868763,0.00017234657,0.00009667416,0.00015791599,0.000036840738],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025515532,0.00011363118,0.0002240388,0.0001015058,0.00030472537,0.000024131867,0.00018081145,0.00015104427,5.5723825e-7],"category_scores_gemma":[0.000040333776,0.00016294386,0.00006220857,0.00010640591,0.00004724323,0.00018764423,0.0000014955212,0.000113162234,3.2348044e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0028508147,0.000105697836,0.92306876,0.0033176653,0.00010279047,0.000034144658,0.041386146,0.018280419,0.000101302714,0.00028239161,0.0014797945,0.008990054],"study_design_scores_gemma":[0.0010389009,0.000029511188,0.83576137,0.00031508488,0.000069496535,7.430714e-9,0.15159178,0.0018653396,0.000037281217,0.000059540103,0.009011821,0.00021985908],"about_ca_topic_score_codex":0.94416606,"about_ca_topic_score_gemma":0.99998635,"teacher_disagreement_score":0.11020563,"about_ca_system_score_codex":0.00018700394,"about_ca_system_score_gemma":0.00045766588,"threshold_uncertainty_score":0.6644658},"labels":[],"label_agreement":null},{"id":"W6987717179","doi":"","title":"Towards a better implementation of accessibility indicators in land use and transport planning practice","year":2019,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; McGill University","keywords":"Land use; Land-use planning; Transportation planning; Public transport; Work (physics); Urban planning","score_opus":0.02956632530652913,"score_gpt":0.34184652464944554,"score_spread":0.3122801993429164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6987717179","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9815322,0.00016595938,2.0818656e-7,0.000037836282,0.00044798502,0.0010826386,0.00080819085,0.00006752861,0.015857458],"genre_scores_gemma":[0.99791515,0.000118779724,0.00031184126,0.00015263038,0.000030000654,0.000057890113,0.00084607495,0.00005644755,0.00051119016],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99583995,0.00044055155,0.0011633945,0.0009807152,0.0010028731,0.0005724984],"domain_scores_gemma":[0.9976672,0.000391665,0.0009942959,0.0004350496,0.00029234897,0.00021944937],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002509726,0.00043902057,0.0007317916,0.00065430783,0.0005398669,0.00010753331,0.00050613715,0.00070799293,0.00025350804],"category_scores_gemma":[0.00045774734,0.00046036273,0.00018244369,0.0010582915,0.00015027229,0.0036008127,0.000032347958,0.0010256865,0.0000058637315],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032986116,0.00018556727,0.94656014,0.0004554146,0.00009382261,0.000031159336,0.0010389467,0.0000018772525,0.00050124776,0.0025721183,5.549177e-7,0.04822927],"study_design_scores_gemma":[0.00095376803,0.00006165203,0.9802856,0.00026154646,0.00022122376,5.0528126e-7,0.006174165,7.379285e-7,0.0035354292,0.0025357045,0.005458309,0.00051137374],"about_ca_topic_score_codex":0.025248362,"about_ca_topic_score_gemma":0.04963929,"teacher_disagreement_score":0.047717895,"about_ca_system_score_codex":0.00038707338,"about_ca_system_score_gemma":0.00025959685,"threshold_uncertainty_score":0.9997848},"labels":[],"label_agreement":null},{"id":"W6987801381","doi":"","title":"Understanding changes to human mobility patterns in Ontario, Canada during the COVID-19 pandemic","year":2022,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Pandemic; Census; Geographic mobility; Public transport; Regression analysis; Individual mobility; Affect (linguistics); Linear regression; Variation (astronomy); Unit (ring theory)","score_opus":0.2782225086338423,"score_gpt":0.3493729111792944,"score_spread":0.07115040254545213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6987801381","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967583,0.00001303975,0.00007242737,0.0018238691,0.00027870265,0.0006474066,0.00007473619,0.00009751832,0.00023403976],"genre_scores_gemma":[0.9930831,0.0000034941027,8.0624835e-7,0.0014070362,0.0000489427,0.000009207237,0.000018834116,0.000016339884,0.0054122037],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969751,0.0007293413,0.00023654797,0.0006194765,0.000780389,0.00065913686],"domain_scores_gemma":[0.998763,0.0001544124,0.00013574072,0.00046028575,0.000035655106,0.00045090963],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0013971676,0.00021493476,0.00025472973,0.00027287842,0.0028358276,0.00016921251,0.0013206088,0.00008369242,0.00067903724],"category_scores_gemma":[0.0000421543,0.00022888549,0.00007574706,0.00073993154,0.00015592677,0.0005452206,0.00042895798,0.000948346,0.000002810185],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006387834,0.00005646205,0.9892159,0.000025804557,0.000015479862,0.0002221701,0.010105923,0.00014470784,0.00006358664,0.00007768652,0.0000016373737,0.000006764159],"study_design_scores_gemma":[0.0005301411,0.00003381733,0.9751934,0.000016978993,0.000019799718,0.0000024525905,0.014322293,2.3312433e-8,0.000014854642,0.00017566228,0.009414174,0.000276412],"about_ca_topic_score_codex":0.89415455,"about_ca_topic_score_gemma":0.999979,"teacher_disagreement_score":0.10582445,"about_ca_system_score_codex":0.015046766,"about_ca_system_score_gemma":0.0017247843,"threshold_uncertainty_score":0.9984623},"labels":[],"label_agreement":null},{"id":"W6989264079","doi":"","title":"Analyse de la relation entre la tarification étudiante du transport en commun et la mobilité des universitaires du Grand Montréal","year":2020,"lang":"fr","type":"other","venue":"Archipelago (University of Quebec in Montreal)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"General interest; Quantitative methodology; Unjust enrichment","score_opus":0.006715124357074261,"score_gpt":0.21120824588672632,"score_spread":0.20449312152965207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6989264079","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8693982,0.0006588865,0.0018426572,0.0017298401,0.000041855372,0.00041368688,0.00014227987,0.00006779836,0.1257048],"genre_scores_gemma":[0.98516536,0.003040526,0.001123373,0.00002986802,0.000053225907,9.590157e-7,0.00020687678,0.000042102067,0.010337696],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9955367,0.0028319042,0.00033858782,0.0005559501,0.00036637776,0.00037052424],"domain_scores_gemma":[0.9977205,0.0012426482,0.0003803293,0.00035049353,0.00007025577,0.00023581798],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001323412,0.00035677833,0.0006443092,0.00031534952,0.0004552896,0.000032043168,0.0007830632,0.0006446225,0.0007840609],"category_scores_gemma":[0.00006922344,0.00044618087,0.00039427434,0.0007603072,0.002402141,0.00064237416,0.00006961489,0.0007557822,0.000019053514],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037466217,0.00051313837,0.6845532,0.0001658572,0.00020270176,0.00039222813,0.2550926,0.00067031884,0.000034571192,0.012381258,0.00020542929,0.045414045],"study_design_scores_gemma":[0.0014840608,0.000043749817,0.9192175,0.0002525099,0.00044949172,0.0000021611572,0.058784656,0.0007337157,0.00000246072,0.012013145,0.006675614,0.0003409226],"about_ca_topic_score_codex":0.8864822,"about_ca_topic_score_gemma":0.9909197,"teacher_disagreement_score":0.2346643,"about_ca_system_score_codex":0.00038013357,"about_ca_system_score_gemma":0.000523598,"threshold_uncertainty_score":0.999799},"labels":[],"label_agreement":null},{"id":"W6990888828","doi":"","title":"Enabling Car-Free Living: Shared Micromobility and Public Transit Interactions in Chicago","year":2025,"lang":"en","type":"dissertation","venue":"DSpace@MIT (Massachusetts Institute of Technology)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Public transport; Panacea (medicine); Transit (satellite); Agency (philosophy); Last mile (transportation); Work (physics); Quarter (Canadian coin); Urban transit","score_opus":0.023960381389715454,"score_gpt":0.2993046756093186,"score_spread":0.27534429421960316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6990888828","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97170913,0.0028997594,0.00005157551,0.0066355416,0.0015520009,0.0010611258,0.00032349062,0.00044131925,0.015326074],"genre_scores_gemma":[0.994186,0.00060913817,0.0014092544,0.00003265755,0.00007491203,0.0001459692,0.00030380161,0.000028926625,0.0032093269],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99679416,0.00010465418,0.00090681005,0.0010485844,0.0004420109,0.00070377067],"domain_scores_gemma":[0.99782425,0.00013182472,0.0004732216,0.0010725827,0.0003541955,0.00014390908],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006880815,0.00047614836,0.0009210177,0.0018732514,0.0005593973,0.00014731777,0.0015119519,0.0012245694,0.0001678832],"category_scores_gemma":[0.0018611077,0.0005284289,0.0002452309,0.0022859937,0.000918786,0.0009769837,0.00012243765,0.0015202302,0.0000030016874],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021425984,0.0018994038,0.86619925,0.0025021299,0.0007215402,0.00009133022,0.02430051,0.000009954281,0.0058590313,0.013594207,0.002005711,0.08260268],"study_design_scores_gemma":[0.0026711223,0.00015207782,0.338095,0.005751492,0.00079849124,0.000003846885,0.03566795,0.00004576009,0.0046464787,0.014401529,0.5951883,0.0025779177],"about_ca_topic_score_codex":0.0049542785,"about_ca_topic_score_gemma":0.39522767,"teacher_disagreement_score":0.5931826,"about_ca_system_score_codex":0.0003242,"about_ca_system_score_gemma":0.0011882379,"threshold_uncertainty_score":0.9997167},"labels":[],"label_agreement":null},{"id":"W6991088110","doi":"","title":"Falling up and staying high: commute transit mode share trends in Montreal age groups and birth cohorts","year":2013,"lang":"en","type":"other","venue":"eScholarship@McGill (McGill)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Falling (accident); Mode (computer interface); Public transport; Age groups; Transit (satellite)","score_opus":0.02279843793693478,"score_gpt":0.26001042597584273,"score_spread":0.23721198803890794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6991088110","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74856985,0.0010852615,7.815042e-7,0.00004160226,0.00035556394,0.0006236011,0.0021560944,0.00034395815,0.24682331],"genre_scores_gemma":[0.89259404,0.0009859833,0.00021976033,0.000113180606,0.00009568598,0.000065889864,0.00028571984,0.00030526568,0.10533445],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9960033,0.00043559942,0.0006805217,0.0012317278,0.00070589647,0.0009429097],"domain_scores_gemma":[0.99840254,0.00014188678,0.00033107575,0.0005467965,0.00006282609,0.00051486294],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008431795,0.00070688303,0.0010615347,0.0006423671,0.0010337812,0.00026653867,0.00060586666,0.0009332073,0.0020131655],"category_scores_gemma":[0.000052701314,0.0007205321,0.00017153606,0.0006165232,0.00043835514,0.0009168786,0.000118534845,0.0012028634,0.000024174711],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030797868,0.00077719474,0.09445265,0.0014464568,0.0007369668,0.0010146699,0.0018671904,0.000038643746,0.00096314243,0.055424433,0.00076199515,0.8422087],"study_design_scores_gemma":[0.009349834,0.00032000325,0.43340313,0.0034688134,0.00086156646,0.000013850791,0.0035614574,0.00021988012,0.00037059342,0.049131185,0.4919692,0.007330491],"about_ca_topic_score_codex":0.13285987,"about_ca_topic_score_gemma":0.46762437,"teacher_disagreement_score":0.8348782,"about_ca_system_score_codex":0.0002784155,"about_ca_system_score_gemma":0.000025433194,"threshold_uncertainty_score":0.9995246},"labels":[],"label_agreement":null},{"id":"W6991097223","doi":"","title":"Exploring the Effect of Changing Public Transit on Usersâ Behaviour in Saint Georgeâs Square","year":2013,"lang":"en","type":"dissertation","venue":"Library and Archives Canada (Government of Canada)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Square (algebra); Public transport; Downtown; Transit (satellite); Duration (music); Travel behavior; Urban transit; Data collection; Public sector","score_opus":0.011805609736205345,"score_gpt":0.18895552875275956,"score_spread":0.17714991901655422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6991097223","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9632611,0.00015696371,0.0000010138602,0.0013314738,0.00035638103,0.0004343961,0.00007649858,0.000007174541,0.034374997],"genre_scores_gemma":[0.99528956,0.00009852924,0.000008562079,0.000075203105,0.000059392274,0.000053195974,0.00004879394,0.000018936656,0.0043478017],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99720496,0.0001796354,0.0003311197,0.00025390164,0.0016535496,0.0003768579],"domain_scores_gemma":[0.9991246,0.000338815,0.00020381184,0.00017894921,0.0000010606468,0.00015276618],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006359871,0.0002090627,0.000344785,0.00006746331,0.00028679337,0.000035582518,0.00035721887,0.000047758105,0.000056388413],"category_scores_gemma":[0.0000072170183,0.00016349195,0.000062841966,0.00019613105,0.00008459706,0.0005320036,0.000017181976,0.00026172565,2.1126485e-9],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00075644255,0.000059449012,0.921163,0.0010695753,0.00009411561,0.000053431133,0.0093246,0.000034781882,0.0011467795,0.03365606,0.00008926712,0.032552484],"study_design_scores_gemma":[0.00032443486,0.000118463206,0.9263951,0.0005403917,0.000045836812,8.726683e-8,0.037561476,0.0000383021,0.032526173,0.00014255756,0.0020166254,0.00029051842],"about_ca_topic_score_codex":0.07915044,"about_ca_topic_score_gemma":0.65233594,"teacher_disagreement_score":0.5731855,"about_ca_system_score_codex":0.000024229139,"about_ca_system_score_gemma":0.0010253044,"threshold_uncertainty_score":0.92698157},"labels":[],"label_agreement":null},{"id":"W6991242696","doi":"","title":"Free and Reduced-Fare Transportation for Youth","year":2021,"lang":"en","type":"article","venue":"Summit (Simon Fraser University)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Public transport; Government (linguistics); Work (physics); Action (physics); Public policy; Agency (philosophy)","score_opus":0.022846478619049815,"score_gpt":0.24121785712758792,"score_spread":0.2183713785085381,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6991242696","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9884551,0.00012451889,0.00033849606,0.00094519794,0.00017933812,0.00016676063,0.00041644735,0.0000717168,0.009302426],"genre_scores_gemma":[0.9912415,0.000072458985,0.0002438809,0.00006118164,0.0000798154,4.9086617e-7,0.00012592539,0.00000653784,0.008168165],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991999,0.000045797275,0.00009197478,0.00028181786,0.00016449064,0.00021599172],"domain_scores_gemma":[0.99943656,0.00005851694,0.000049958133,0.0001674729,0.00016303656,0.00012446337],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013392764,0.00008115319,0.00012090287,0.00006325316,0.0003973098,0.000039553204,0.00019607073,0.000116141215,0.00016531693],"category_scores_gemma":[0.000050077862,0.00009752894,0.00008242499,0.00039302598,0.00010123016,0.00036371965,0.000008748127,0.000081061866,0.0000017266814],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049605023,0.000045499713,0.9918172,0.000025996433,0.000022714297,0.000034068984,0.0010296763,0.0000019678334,0.000010384458,0.0032851077,0.002834961,0.00084284873],"study_design_scores_gemma":[0.0020123257,0.0000439423,0.09987853,0.00004342988,0.00028836244,3.998224e-10,0.31385124,0.000005984491,0.002409655,0.0027571553,0.5783044,0.00040495058],"about_ca_topic_score_codex":0.0010174596,"about_ca_topic_score_gemma":0.41015095,"teacher_disagreement_score":0.8919386,"about_ca_system_score_codex":0.0000814778,"about_ca_system_score_gemma":0.00016322742,"threshold_uncertainty_score":0.6006122},"labels":[],"label_agreement":null},{"id":"W6991488827","doi":"","title":"Gouverner dans le cadre d'une Europe élargie: les enjeux en matière de santé et d'affaires sociales","year":2008,"lang":"fr","type":"other","venue":"Érudit documents and data repository (Érudit Consortium, University of Montreal)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Field (mathematics); Government (linguistics); Work (physics)","score_opus":0.019509879888034303,"score_gpt":0.2550032837139898,"score_spread":0.2354934038259555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6991488827","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20197783,0.009405733,0.00061432703,0.0034809713,0.0008640917,0.0009539093,0.0031808645,0.0002091568,0.7793131],"genre_scores_gemma":[0.51807773,0.019944005,0.0006316684,0.000057705387,0.00070079125,0.0000015345828,0.0007456415,0.00010598966,0.45973492],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9952342,0.0012430972,0.0006634975,0.0013878032,0.00075937103,0.0007120691],"domain_scores_gemma":[0.99663794,0.00041694698,0.0010308464,0.0012846414,0.00024363805,0.00038600725],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.0006622501,0.00066611066,0.0010427631,0.00015778602,0.0023747059,0.00012052456,0.0019857967,0.0007258724,0.0019173131],"category_scores_gemma":[0.00013648687,0.00073652907,0.00025304366,0.00039054724,0.0043653087,0.0011884283,0.0007276124,0.0005673111,0.000037573827],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044871648,0.0017538568,0.47552133,0.001080258,0.0022846148,0.0038089026,0.018433232,0.000025994928,0.0008690709,0.0098475665,0.45015898,0.035767473],"study_design_scores_gemma":[0.0013811721,0.000074808086,0.23272485,0.00043618257,0.0007516677,0.00003143654,0.009258377,0.000032061795,0.000082176906,0.00036551096,0.75408334,0.0007784434],"about_ca_topic_score_codex":0.44209772,"about_ca_topic_score_gemma":0.44587606,"teacher_disagreement_score":0.3195782,"about_ca_system_score_codex":0.0009399957,"about_ca_system_score_gemma":0.0014915923,"threshold_uncertainty_score":0.99950856},"labels":[],"label_agreement":null},{"id":"W6991658062","doi":"","title":"Identifying influences of social and physical environments on a child’s mode of travel to and from school","year":2008,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Logistic regression; Mode (computer interface); Travel behavior; Travel survey; Closing (real estate); Mode choice; Regression analysis; Affect (linguistics); Data collection","score_opus":0.09217007641597436,"score_gpt":0.3396284474807089,"score_spread":0.24745837106473456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6991658062","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99926895,0.00002813507,0.00006041433,0.000092692506,0.000036010977,0.00018601294,0.000062308274,0.000015484888,0.0002499927],"genre_scores_gemma":[0.99943596,0.000039510494,0.00002481448,0.000057710175,0.000066072134,4.70256e-7,0.00000462384,0.000008748028,0.00036208722],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99867934,0.0001402461,0.00017945665,0.00036674217,0.0004176215,0.00021658072],"domain_scores_gemma":[0.9994121,0.00006170379,0.00014217537,0.000146512,0.00002857561,0.000208918],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012808671,0.00014514066,0.00029718256,0.00016224013,0.00042000943,0.00004016655,0.0003261082,0.000107870525,0.0000137027855],"category_scores_gemma":[0.000024922614,0.00015975368,0.00007022749,0.00021642998,0.0005305097,0.0009094087,0.00009521577,0.00021702547,0.000007117683],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009510896,0.00011364072,0.98028326,0.000015873904,0.000031203897,0.000014692749,0.01627157,0.0000023140453,0.002922131,0.000064261054,8.641454e-8,0.00018583547],"study_design_scores_gemma":[0.00050553464,0.000054590022,0.993309,0.00007175197,0.000046889323,3.0404956e-7,0.0017387102,1.0529005e-7,0.0038277444,0.00023143979,0.000064315944,0.00014961345],"about_ca_topic_score_codex":0.0002785007,"about_ca_topic_score_gemma":0.002545018,"teacher_disagreement_score":0.014532859,"about_ca_system_score_codex":0.000056100867,"about_ca_system_score_gemma":0.00005201192,"threshold_uncertainty_score":0.65145653},"labels":[],"label_agreement":null},{"id":"W6991872283","doi":"","title":"The implementation results of safe bicycle transport in Taipei City","year":2019,"lang":"en","type":"article","venue":"PubMed Central","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Renting; Pedestrian; Public transport; Intersection (aeronautics); Cycling; Poison control; Bike sharing; Quarter (Canadian coin); Visibility; Order (exchange)","score_opus":0.01892454734435592,"score_gpt":0.2903681990141849,"score_spread":0.271443651669829,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6991872283","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98609304,0.00004396809,0.000006155153,0.0009684991,0.000445419,0.0005828182,0.000044558037,0.000015896696,0.011799658],"genre_scores_gemma":[0.99922943,0.000033334672,0.0000154212,0.000025760513,0.00007401876,0.00002258564,0.000025542346,0.0000034811505,0.0005703985],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983576,0.000074117546,0.00034268392,0.00016922821,0.00029973936,0.00075664424],"domain_scores_gemma":[0.9995429,0.00006636398,0.00010090324,0.00014898814,0.000024772826,0.000116067975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015247792,0.00006068741,0.00010787474,0.000026134161,0.00011941616,0.000018022807,0.00023294007,0.000045872373,0.00014840333],"category_scores_gemma":[0.00003343669,0.00004671583,0.000062469444,0.0002599899,0.00013499035,0.00022526426,0.000005325758,0.00008777585,0.0000032942087],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009556567,0.000037308975,0.9854655,0.0000054151997,0.0000049005466,6.492039e-7,0.0047703534,0.000003666637,0.000033819124,0.00060929876,0.00006454241,0.00890894],"study_design_scores_gemma":[0.00066746655,0.0000068017657,0.98692834,0.0000030488784,0.0000054365964,1.3968323e-8,0.0020765255,0.0000021930887,0.0004500238,0.0005184622,0.009284718,0.000056981356],"about_ca_topic_score_codex":0.009019766,"about_ca_topic_score_gemma":0.10655149,"teacher_disagreement_score":0.09753173,"about_ca_system_score_codex":0.00012766907,"about_ca_system_score_gemma":0.00017233974,"threshold_uncertainty_score":0.9975793},"labels":[],"label_agreement":null},{"id":"W6992370871","doi":"","title":"Les mobilités cyclistes et leurs liens avec les préférences résidentielles des ménages : Le cas de travailleurs métropolitains de la région de Montréal","year":2022,"lang":"fr","type":"other","venue":"Open MIND","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Population; Context (archaeology); Public work; Rail transportation","score_opus":0.07101881288376065,"score_gpt":0.35575830824462357,"score_spread":0.2847394953608629,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6992370871","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.67639196,0.0077652484,0.00014248645,0.00097056024,0.00017663781,0.0006791614,0.00019495752,0.000018914396,0.31366006],"genre_scores_gemma":[0.6918706,0.0019235106,0.0042553116,0.0000568635,0.00024950836,0.00012058844,0.00007101438,0.00012385407,0.30132872],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9939661,0.0024563132,0.00068445486,0.0011044161,0.0005796351,0.0012091077],"domain_scores_gemma":[0.9976475,0.00086264696,0.00046468043,0.00052309124,0.00007813252,0.00042393603],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.0029521908,0.0006383712,0.00077313464,0.00019111957,0.0020316863,0.0009223418,0.002078386,0.00067888806,0.040229175],"category_scores_gemma":[0.00032558493,0.0006394454,0.00042060233,0.00051568035,0.0037120478,0.0005976806,0.00034461214,0.0008674757,0.00006863822],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000069880305,0.0007683727,0.74290836,0.00012132148,0.00018211147,0.0002469239,0.11581069,0.0002747293,0.00016180066,0.0033358354,0.0021489046,0.1339711],"study_design_scores_gemma":[0.0006436985,0.0001861127,0.4138836,0.00026114922,0.00034109622,0.000028820676,0.11684894,0.00009535922,0.0004997222,0.0082595525,0.4579975,0.00095444516],"about_ca_topic_score_codex":0.4554273,"about_ca_topic_score_gemma":0.58371097,"teacher_disagreement_score":0.4558486,"about_ca_system_score_codex":0.0012477761,"about_ca_system_score_gemma":0.0017611911,"threshold_uncertainty_score":0.99960566},"labels":[],"label_agreement":null},{"id":"W6995611459","doi":"","title":"Pedestrian-Cyclist Interactions at Bus Stops Along Segregated Bike Paths: Case Study of Montréal, Canada","year":2014,"lang":"en","type":"other","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Public transport; Government (linguistics); Work (physics); Intersection (aeronautics); Data collection; Identification (biology)","score_opus":0.014570046353103076,"score_gpt":0.26306565729851517,"score_spread":0.2484956109454121,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6995611459","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9223571,0.005727317,0.0037558794,0.0014723892,0.0017166563,0.005411,0.0011544611,0.0017516487,0.056653548],"genre_scores_gemma":[0.83194804,0.00023728596,0.00064159016,0.00024891767,0.00047856985,0.00037664603,0.000111093665,0.0003554363,0.16560243],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9953031,0.000613288,0.0011147981,0.00095353473,0.0010183067,0.0009969792],"domain_scores_gemma":[0.99618787,0.00028413045,0.0011922593,0.0014780444,0.00022751537,0.0006301715],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008543359,0.0007135345,0.0011143537,0.0006215326,0.0008746912,0.00016104743,0.0009542441,0.0006444979,0.0012503095],"category_scores_gemma":[0.00027895498,0.00072239846,0.00027288348,0.0009568297,0.00032658444,0.00023487776,0.00019484069,0.000813137,0.000012753748],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014595312,0.0017568395,0.51986927,0.00023302232,0.00047433257,0.0051107863,0.0043047643,0.00012424754,0.000077433724,0.00024621436,0.4608564,0.0068007037],"study_design_scores_gemma":[0.0027856359,0.00041465176,0.04736637,0.00055378996,0.00087912637,0.00030577648,0.02090073,0.001158071,0.00019294934,0.0001233731,0.9228192,0.0025003373],"about_ca_topic_score_codex":0.9992192,"about_ca_topic_score_gemma":0.9999228,"teacher_disagreement_score":0.47250292,"about_ca_system_score_codex":0.0018195786,"about_ca_system_score_gemma":0.0019322261,"threshold_uncertainty_score":0.9996627},"labels":[],"label_agreement":null},{"id":"W6995786176","doi":"","title":"Planning for Micromobilities in Canada: Transportation Policy Review","year":2022,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transportation planning; Sustainable transport; Population; Climate change; Face (sociological concept); Sustainability; Government (linguistics); Strategic planning","score_opus":0.10961470557240222,"score_gpt":0.3535891818708973,"score_spread":0.24397447629849506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6995786176","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9960529,0.0012743041,0.00004237876,0.0012483221,0.00018110934,0.00069504837,0.00024175737,0.00004900561,0.00021514509],"genre_scores_gemma":[0.9962668,0.00017437992,0.000010925501,0.0008669624,0.000064929394,0.000013346702,0.00010997813,0.000015744,0.0024769537],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99814546,0.00029411752,0.0002905882,0.00038707312,0.00042199244,0.00046075007],"domain_scores_gemma":[0.99928784,0.0001258637,0.00015017367,0.00021204351,0.00007804382,0.00014600436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007212473,0.00015464783,0.00028582665,0.00024136348,0.0006895045,0.000044343513,0.0006463644,0.00004917376,0.00009767838],"category_scores_gemma":[0.000040654715,0.00019942867,0.00010574746,0.00077596365,0.00008631949,0.0008116745,0.00003235483,0.0003431437,0.0000017255061],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000510628,0.000036116304,0.99669343,0.0002283527,0.000010662427,0.0000743902,0.002437705,0.00004190633,0.000017245076,0.00016597193,0.0000045936417,0.00023855627],"study_design_scores_gemma":[0.00047486578,0.000029999497,0.96189344,0.00024089716,0.000036553385,5.0210997e-7,0.004997335,5.1457093e-8,0.000040622414,0.0001814736,0.03187161,0.00023267453],"about_ca_topic_score_codex":0.2561701,"about_ca_topic_score_gemma":0.9858929,"teacher_disagreement_score":0.7297228,"about_ca_system_score_codex":0.001981691,"about_ca_system_score_gemma":0.0030176148,"threshold_uncertainty_score":0.8132465},"labels":[],"label_agreement":null},{"id":"W6996763285","doi":"","title":"Station and city level modelling of bike-sharing system for Montreal","year":2021,"lang":"en","type":"dissertation","venue":"Open MIND","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Government (linguistics); Field (mathematics); Set (abstract data type)","score_opus":0.18295240749056363,"score_gpt":0.3771162522294485,"score_spread":0.19416384473888487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6996763285","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9718716,0.0002261179,0.0022675847,0.000008893765,0.00021336641,0.000662792,0.00027158103,0.0000016704695,0.024476407],"genre_scores_gemma":[0.98304915,0.000021382926,0.0035933338,7.400248e-7,0.00006405933,0.000025661,0.0011410343,0.000009117366,0.012095519],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.99903375,0.000025886004,0.00029081022,0.00033344666,0.00018272734,0.00013337837],"domain_scores_gemma":[0.999327,0.00005638017,0.0002399052,0.0001141921,0.00021288656,0.00004965908],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005420111,0.000095905816,0.00026710037,0.000037581958,0.0002421475,0.00018846871,0.00025197674,0.0001601336,0.000118601536],"category_scores_gemma":[0.000022681643,0.00010023912,0.000054378805,0.000099171026,0.00002855181,0.00028401442,0.000014949915,0.00007053271,7.5927187e-7],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012269211,0.00044088694,0.11513242,0.005006453,0.0004446071,0.00001985027,0.34768048,0.0014298625,0.0012377859,0.0018173705,0.000121347715,0.525442],"study_design_scores_gemma":[0.00567744,0.00023281536,0.2328071,0.008354366,0.0021219028,6.779609e-7,0.6412873,0.044570602,0.046695407,0.007650101,0.0075291353,0.0030731133],"about_ca_topic_score_codex":0.024858588,"about_ca_topic_score_gemma":0.1324006,"teacher_disagreement_score":0.5223689,"about_ca_system_score_codex":0.00004917081,"about_ca_system_score_gemma":0.00027088053,"threshold_uncertainty_score":0.981635},"labels":[],"label_agreement":null},{"id":"W6998245037","doi":"","title":"Active transportation as an integral component of urban transport : factors influencing Winnipeg","year":2003,"lang":"en","type":"dissertation","venue":"Mspace (University of Manitoba)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Component (thermodynamics); Public transport; Work (physics); Relation (database)","score_opus":0.017604761024052618,"score_gpt":0.24705139271694326,"score_spread":0.22944663169289065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6998245037","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99065137,0.000059458813,0.000050371276,0.000046960984,0.0003514208,0.0004568785,0.00016883056,0.00006396493,0.008150765],"genre_scores_gemma":[0.99664474,0.000051583196,0.00014659158,0.0000064709125,0.000031393465,4.4514775e-7,0.0016150468,0.000022531733,0.0014811794],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980689,0.00014620894,0.00028352204,0.00046118465,0.000726479,0.0003136725],"domain_scores_gemma":[0.99849683,0.000044819357,0.00062343205,0.0002660258,0.00037901528,0.0001898911],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000252247,0.00029269926,0.0006001224,0.0002731221,0.00043667282,0.0000120414925,0.00055241433,0.00046892662,0.00013783872],"category_scores_gemma":[0.000012810571,0.0003691193,0.00034177586,0.00043271785,0.00035590984,0.00084302266,0.000002566901,0.00039078633,0.0000040140208],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047811112,0.0003086064,0.8981226,0.0002680374,0.0001353033,0.000021624322,0.09772788,0.000012539184,0.0010700029,0.00127905,0.000064066124,0.00051216676],"study_design_scores_gemma":[0.00028575663,0.00008449338,0.68827546,0.00011882246,0.0002279307,2.9772783e-8,0.3084103,0.0000015290967,0.0012795296,0.00015927805,0.0009216348,0.0002352667],"about_ca_topic_score_codex":0.13761526,"about_ca_topic_score_gemma":0.93207556,"teacher_disagreement_score":0.7944603,"about_ca_system_score_codex":0.0002450191,"about_ca_system_score_gemma":0.0005610602,"threshold_uncertainty_score":0.9998761},"labels":[],"label_agreement":null},{"id":"W6998385130","doi":"","title":"Accessibility assessment of three housing states in Barcelona's Metropolitan Area tackling the 15-minute city concept","year":2022,"lang":"en","type":"dissertation","venue":"UPCommons institutional repository (Universitat Politècnica de Catalunya)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Relation (database); Function (biology); Quarter (Canadian coin); Urban area; Antithesis; Urban planning; Pedestrian; Compact city","score_opus":0.025688399714208988,"score_gpt":0.31936020680625643,"score_spread":0.29367180709204743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6998385130","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8809519,0.0009908009,0.0002057996,0.00041567266,0.0010387436,0.0007101394,0.00046749783,0.000086030755,0.11513344],"genre_scores_gemma":[0.9958136,0.00005551055,0.00041074087,0.00005804986,0.00016536177,0.00003882177,0.001812488,0.0000270589,0.0016183881],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99544454,0.0006231624,0.0008643951,0.0008521089,0.0014459646,0.00076983875],"domain_scores_gemma":[0.99704456,0.0006151144,0.00080000213,0.0008793815,0.0003775662,0.00028336732],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0015570578,0.00042855708,0.00069478294,0.00045145495,0.003581688,0.0001642913,0.0019066813,0.00038122392,0.0005891563],"category_scores_gemma":[0.00019505648,0.0004310393,0.00047046656,0.0011408442,0.0019734935,0.00093619345,0.00023605628,0.001313359,0.0000011824154],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.00030638897,0.0008308835,0.8405575,0.00025628824,0.00038967864,0.00034707916,0.01740641,0.0017560731,0.00025677838,0.13667156,0.00065334304,0.00056802615],"study_design_scores_gemma":[0.0007563735,0.00007253216,0.908721,0.0002396004,0.0003772777,0.0000054543407,0.07412839,0.0007686877,0.00027817217,0.007835247,0.006105827,0.00071141694],"about_ca_topic_score_codex":0.05315123,"about_ca_topic_score_gemma":0.0853427,"teacher_disagreement_score":0.12883632,"about_ca_system_score_codex":0.0067854836,"about_ca_system_score_gemma":0.006523295,"threshold_uncertainty_score":0.99981415},"labels":[],"label_agreement":null},{"id":"W6998728072","doi":"","title":"Annex: notes metodològiques de l'Enquesta de Mobilitat Quotidiana 2006","year":2008,"lang":"ca","type":"article","venue":"RACO (Revistes Catalanes amb Accés Obert) (Consorci de Serveis Universitaris de Catalunya)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Cluster (spacecraft); Population","score_opus":0.024909285858313646,"score_gpt":0.27463722021794096,"score_spread":0.2497279343596273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6998728072","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9638091,0.023006877,0.0005228767,0.0036367732,0.00039544847,0.0015123897,0.0016827948,0.00065157964,0.00478219],"genre_scores_gemma":[0.97691935,0.009175977,0.0022094566,0.0011744538,0.0007607056,0.00004442587,0.0013649978,0.00019278906,0.008157845],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9899777,0.001781323,0.0014393907,0.0021484555,0.0011059453,0.0035471513],"domain_scores_gemma":[0.9919844,0.0022179456,0.0009198751,0.0020257197,0.0007787187,0.0020733222],"candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts"],"category_scores_codex":[0.0031503995,0.0014672249,0.0018251686,0.00066353567,0.002558332,0.00047784697,0.0028287037,0.0014786663,0.0013274087],"category_scores_gemma":[0.0012079278,0.0017024911,0.0012954648,0.0021322982,0.0027509304,0.0028631813,0.00049741054,0.0015643988,0.00031555607],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040700278,0.0008831865,0.9437374,0.0011543247,0.0006263496,0.0023278585,0.03172689,0.0002777705,0.0014595595,0.0010007276,0.014987025,0.0014119457],"study_design_scores_gemma":[0.002961357,0.0006357771,0.86298114,0.0010859639,0.0025616235,0.0005269082,0.026259553,0.001467309,0.007873964,0.0017765305,0.08756468,0.0043052267],"about_ca_topic_score_codex":0.12522563,"about_ca_topic_score_gemma":0.029210566,"teacher_disagreement_score":0.096015066,"about_ca_system_score_codex":0.004319915,"about_ca_system_score_gemma":0.0046110507,"threshold_uncertainty_score":0.999963},"labels":[],"label_agreement":null},{"id":"W6998890201","doi":"","title":"Barriers to walking: An investigation of adults in Hamilton","year":2016,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Logistic regression; Population; License; Promotion (chess); Logit; Body mass index; Health promotion; Binary logit model","score_opus":0.06833037140697734,"score_gpt":0.32138248397203173,"score_spread":0.2530521125650544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6998890201","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987054,0.000010545894,0.0001174855,0.00037485655,0.00015468341,0.00032067244,0.000020108075,0.00008414929,0.00021211589],"genre_scores_gemma":[0.9986557,0.000013803231,0.000039334445,0.00015183887,0.000056343037,0.0000010355463,0.0000048833645,0.000014514537,0.0010625672],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980022,0.00043127962,0.0002719024,0.00047810844,0.0004161916,0.0004003573],"domain_scores_gemma":[0.9985846,0.0000887896,0.00014235084,0.00036495636,0.0001598974,0.00065937155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008174662,0.00016227033,0.00023287782,0.00044893246,0.0002090623,0.000063216496,0.00075079466,0.0001848784,0.00007696195],"category_scores_gemma":[0.00012072346,0.000153345,0.00007053426,0.00080073945,0.00030662096,0.0026603215,0.000057597925,0.00016626662,0.000030387946],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013876865,0.000025574547,0.98297745,0.000017291439,0.0000063924913,0.000024720432,0.013510121,0.0000012038381,0.0020854597,0.00012477401,1.3005963e-7,0.0010880851],"study_design_scores_gemma":[0.0007270251,0.00009720101,0.9911998,0.0002768918,0.000013709257,1.5488337e-7,0.0022771803,2.7785727e-8,0.004504988,0.00032920425,0.00035727944,0.00021651776],"about_ca_topic_score_codex":0.00022797743,"about_ca_topic_score_gemma":0.09272953,"teacher_disagreement_score":0.09250155,"about_ca_system_score_codex":0.00027270018,"about_ca_system_score_gemma":0.00027717778,"threshold_uncertainty_score":0.9238258},"labels":[],"label_agreement":null},{"id":"W6998958324","doi":"","title":"Assessing the micro-scale environment using Google Street View: the Virtual Systematic Tool for Evaluating Pedestrian Streetscapes (Virtual-STEPS). Copyright: Creative Commons License.","year":2019,"lang":"en","type":"article","venue":"Open Scholarship Institutional Repository (Washington University in St. Louis)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Audit; Reliability (semiconductor); Pedestrian; Field (mathematics); Walkability; Observational study","score_opus":0.05417107455217453,"score_gpt":0.3365938775707922,"score_spread":0.28242280301861766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6998958324","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9846115,0.00017364135,0.00071687845,0.0003004389,0.00059840095,0.0035236469,0.000087508095,0.000037029622,0.009950957],"genre_scores_gemma":[0.9962797,0.000017037262,0.0008362293,0.00006625543,0.00012915004,0.000021149193,0.00004020046,0.00001712705,0.0025931601],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9949346,0.0021055578,0.00066846976,0.00069257553,0.0010793927,0.0005193701],"domain_scores_gemma":[0.9968395,0.0015124559,0.0006185841,0.00066454173,0.00022023314,0.00014464902],"candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0053491797,0.0003198081,0.00052657287,0.00012775042,0.0057566348,0.0018089568,0.0021859738,0.00023723439,0.00016595237],"category_scores_gemma":[0.0003510421,0.000245311,0.00022958964,0.0005220639,0.0009209276,0.0041878163,0.0003936684,0.00070808746,0.000021219399],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003943855,0.0007085281,0.94000137,0.0007642468,0.00027816585,0.000050883456,0.017317727,0.008841643,0.00452941,0.026448013,0.00009299359,0.0005726164],"study_design_scores_gemma":[0.009247804,0.0008449061,0.53545266,0.013827429,0.0018651837,0.000027152395,0.38417542,0.009403501,0.0027140114,0.0014294278,0.037979823,0.0030326769],"about_ca_topic_score_codex":0.0048131864,"about_ca_topic_score_gemma":0.0060554175,"teacher_disagreement_score":0.40454873,"about_ca_system_score_codex":0.001607461,"about_ca_system_score_gemma":0.0014257976,"threshold_uncertainty_score":0.99999994},"labels":[],"label_agreement":null},{"id":"W6999863640","doi":"","title":"A Direct Assessment of “Obesogenic” Built Environments: Challenges and Recommendations","year":2011,"lang":"en","type":"article","venue":"Summit (Simon Fraser University)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Audit; Usability; Environmental impact assessment; Information technology audit; Audit trail","score_opus":0.04448979556672215,"score_gpt":0.26803926306006104,"score_spread":0.2235494674933389,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6999863640","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7353631,0.00046492444,0.00017748498,0.00044080822,0.00010522704,0.0001850302,0.00003138772,0.000042178577,0.26318985],"genre_scores_gemma":[0.99459743,0.0030395896,0.00051706616,0.000015766664,0.00001789574,6.057573e-7,0.0000074734867,0.0000050391186,0.0017991562],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992102,0.00012461092,0.00011265661,0.00023427227,0.00014966814,0.00016861082],"domain_scores_gemma":[0.9995598,0.000048434144,0.00008498947,0.00017752101,0.00002236244,0.00010688768],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022950646,0.00008453166,0.00014145889,0.00011344153,0.00021301897,0.0000066678676,0.00023306617,0.00007642257,0.0005809461],"category_scores_gemma":[0.000010109026,0.00009387002,0.000057950463,0.00016983894,0.00027622847,0.00036495083,0.000047145873,0.000077266915,0.0000038962294],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014171878,0.00020723905,0.98344046,0.000011411212,0.00004341357,0.000008330365,0.00088532054,2.0043558e-7,0.000006082787,0.007141422,0.00022395448,0.008018],"study_design_scores_gemma":[0.0005413835,0.00007806973,0.56745476,0.00002880037,0.000108029824,4.3984338e-10,0.06864275,0.0000041504486,0.0005831339,0.0007741236,0.3615614,0.00022344106],"about_ca_topic_score_codex":0.0013560044,"about_ca_topic_score_gemma":0.12937348,"teacher_disagreement_score":0.4159857,"about_ca_system_score_codex":0.00006953446,"about_ca_system_score_gemma":0.000057336114,"threshold_uncertainty_score":0.8865132},"labels":[],"label_agreement":null},{"id":"W7000583022","doi":"","title":"Governing Public Transit in Canada: A Primer","year":2025,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Public transport; Transit (satellite); Corporate governance; Transit system; Revenue; Population; Sustainability; Rapid transit","score_opus":0.08560031204194828,"score_gpt":0.31717302945064674,"score_spread":0.23157271740869845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7000583022","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99114466,0.00015074085,0.0002814855,0.0016549068,0.00032171403,0.00027792365,0.000021849437,0.0000864608,0.006060276],"genre_scores_gemma":[0.99006677,0.000029038716,0.000009778283,0.00043579045,0.00003994517,0.0000010715494,0.000011659456,0.00001192598,0.009394019],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977382,0.0003383194,0.00027248223,0.00051073,0.000492151,0.00064811826],"domain_scores_gemma":[0.9991028,0.0001137279,0.00010173012,0.0003302717,0.000115487615,0.00023600229],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00057104696,0.00020337052,0.00029888595,0.00034929824,0.0004479963,0.00019935306,0.00094284356,0.00016255834,0.000105390216],"category_scores_gemma":[0.000061998006,0.0002457958,0.00009527251,0.0013506026,0.00017114241,0.0017500076,0.000085460044,0.0005465839,0.000024181494],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042187898,0.000052653264,0.9976518,0.000027506312,0.000026765396,0.00014817195,0.0007143439,0.000005936899,0.0000359918,0.00041496876,0.00000159373,0.0008780944],"study_design_scores_gemma":[0.0006191127,0.000009120542,0.97453964,0.00009692813,0.000031680127,2.3083842e-7,0.0017313294,1.6036917e-7,0.000111721136,0.00009585436,0.022526912,0.00023729414],"about_ca_topic_score_codex":0.29254755,"about_ca_topic_score_gemma":0.99834573,"teacher_disagreement_score":0.7057982,"about_ca_system_score_codex":0.0019715212,"about_ca_system_score_gemma":0.0042483853,"threshold_uncertainty_score":0.9999994},"labels":[],"label_agreement":null},{"id":"W7000910711","doi":"","title":"Healthy Walking for School Children: Examining the Impact of Fast-food Restaurants inside the Walk Zone of Elementary Schools in Calgary","year":2017,"lang":"en","type":"article","venue":"Florence Research (University of Florence)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geocoding; Overweight; School bus; Focus group; Cafeteria; Relocation","score_opus":0.09842428117207004,"score_gpt":0.38258515730478776,"score_spread":0.28416087613271773,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7000910711","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958649,0.00023845109,0.0002801157,0.0010936919,0.00007664197,0.0011776148,0.00012355896,0.0000106258385,0.001134345],"genre_scores_gemma":[0.99887866,0.00035026245,0.0005892596,0.000007233501,0.0000932752,0.0000037724167,0.000016168695,0.0000074480445,0.000053918626],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968381,0.00058504444,0.00036349986,0.0003916111,0.0010926464,0.0007290761],"domain_scores_gemma":[0.9973052,0.00062405446,0.00043586738,0.0008886203,0.00054080365,0.00020544716],"candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0057016327,0.00014831036,0.00039382713,0.00026857224,0.0021628262,0.000069421774,0.0027428197,0.00012156736,0.00025362772],"category_scores_gemma":[0.0009643912,0.000107241685,0.00019777083,0.0006425304,0.0027483448,0.0009628915,0.00032932626,0.0006863834,0.0000025850884],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044006796,0.00012730679,0.940998,0.00006563195,0.000075425014,0.000004443605,0.01269495,0.000016119036,0.00047105213,0.00030741518,0.00027699614,0.04452256],"study_design_scores_gemma":[0.00080672605,0.0005489397,0.9681673,0.00026174117,0.000014779966,2.0744456e-7,0.0281485,0.00022099938,0.00018921515,0.0015115202,0.000024399606,0.00010566217],"about_ca_topic_score_codex":0.11441419,"about_ca_topic_score_gemma":0.047659136,"teacher_disagreement_score":0.06675506,"about_ca_system_score_codex":0.00025283484,"about_ca_system_score_gemma":0.0015509131,"threshold_uncertainty_score":0.9999656},"labels":[],"label_agreement":null},{"id":"W7001168774","doi":"","title":"The Impact of Sustainable Transit Availability on Health Inequality in Canadian Cities, 2006 to 2016","year":2023,"lang":"en","type":"dissertation","venue":"Spectrum Research Repository (Concordia University)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Concordia University","funders":"","keywords":"Public transport; Inequality; Proxy (statistics); Public health; Transit (satellite); Transit system; Gentrification; Walkability; Health care; Health equity","score_opus":0.035293755433464045,"score_gpt":0.35052792094420476,"score_spread":0.31523416551074074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7001168774","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8818005,0.0001244445,4.947889e-7,0.0016087132,0.00034176226,0.0014717537,0.00010635309,0.000048994192,0.11449701],"genre_scores_gemma":[0.84606105,0.00016981417,5.620659e-7,0.0000058646665,0.00012749775,0.0000075413695,0.00008034102,0.000024045712,0.1535233],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99382603,0.0019516906,0.00051074446,0.00070891733,0.0010362761,0.0019663526],"domain_scores_gemma":[0.99675024,0.0007195298,0.0001974828,0.0007395348,0.0005478238,0.0010454158],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0058588567,0.00025612905,0.0005233661,0.0015556086,0.0024282488,0.00017173059,0.0012405493,0.0003445963,0.00008607997],"category_scores_gemma":[0.0004736414,0.00023099265,0.00031275247,0.0035836492,0.0005680689,0.00026622068,0.00003813117,0.0011314469,0.00002479417],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.0012956203,0.00015842359,0.9630583,0.0002798932,0.00009681397,0.00044624988,0.015844809,0.000049374856,0.000026037642,0.0070419866,0.011081651,0.00062083424],"study_design_scores_gemma":[0.00023486557,0.00037817346,0.9340965,0.00012769907,0.000007670307,6.796465e-8,0.04234694,0.0000021943044,0.00009860449,0.001371141,0.021113815,0.00022228969],"about_ca_topic_score_codex":0.99847,"about_ca_topic_score_gemma":0.9991827,"teacher_disagreement_score":0.039026283,"about_ca_system_score_codex":0.00960216,"about_ca_system_score_gemma":0.03229476,"threshold_uncertainty_score":0.99887043},"labels":[],"label_agreement":null},{"id":"W7001722413","doi":"","title":"La Ville de Québec teste un nouveau type de support à vélos","year":2016,"lang":"fr","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Identity (music); Context (archaeology); Set (abstract data type); Subject (documents); Power (physics)","score_opus":0.006297449708301182,"score_gpt":0.21223318131817362,"score_spread":0.20593573160987244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7001722413","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009028457,0.00037235257,0.000001730037,0.0011109887,0.0004061856,0.00039759115,0.00010756227,0.00012099996,0.9884541],"genre_scores_gemma":[0.083786294,0.0003603163,0.0006656309,0.00044330276,0.00035830293,0.000012009829,0.000042441083,0.00006449418,0.9142672],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99744153,0.00028039818,0.00081899465,0.0002827129,0.00049980474,0.0006765363],"domain_scores_gemma":[0.99800205,0.00039599108,0.00063873775,0.00037255383,0.0002638965,0.00032679367],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00089031004,0.00040392397,0.0004988876,0.000053417927,0.00024613275,0.00007440971,0.00065257325,0.0007868936,0.8690709],"category_scores_gemma":[0.000262115,0.00036352687,0.0002624373,0.000020007214,0.0008349244,9.4528275e-7,0.000062717314,0.00037822145,0.035135362],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010177869,0.00012353229,0.0027967189,0.00038606202,0.00009617132,0.00004628935,0.0042170137,0.000023135819,0.0000015508728,0.0002053111,0.97783786,0.0141645735],"study_design_scores_gemma":[0.00048167096,0.00013573936,0.0009917147,0.00022936426,0.00014180297,0.000025645104,0.0005540859,0.000008020268,0.00002121141,0.0000729089,0.9969033,0.00043453212],"about_ca_topic_score_codex":0.12942135,"about_ca_topic_score_gemma":0.11905576,"teacher_disagreement_score":0.8339355,"about_ca_system_score_codex":0.00040740054,"about_ca_system_score_gemma":0.00089372834,"threshold_uncertainty_score":0.9998817},"labels":[],"label_agreement":null},{"id":"W7002315891","doi":"","title":"Municipal practices and needs regarding accessibility of pedesrian infrastructures for indivduals with physical disabilities in Québec, Canada","year":2017,"lang":"en","type":"article","venue":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Fonds de recherche du Québec – Nature et technologies; Fonds de Recherche du Québec - Santé","keywords":"Conceptualization; Universal design; Plan (archaeology); Action plan; Best practice; Descriptive statistics; Limiting; Action (physics)","score_opus":0.03299529571316566,"score_gpt":0.30396083030952953,"score_spread":0.27096553459636386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7002315891","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96986413,0.00010919288,0.000045530945,0.00846482,0.00018581725,0.0005166409,0.00006785688,0.00003981415,0.020706186],"genre_scores_gemma":[0.9988441,0.00002014543,0.0005376456,0.00003736013,0.00031532123,0.00010691001,0.000023133352,0.000017582757,0.00009781208],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99764913,0.00026283256,0.00047817134,0.0004889983,0.000623991,0.0004968905],"domain_scores_gemma":[0.9971946,0.0007821374,0.00090028794,0.0005796912,0.00028168724,0.0002616269],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0009498304,0.0002529598,0.0004774241,0.00014751288,0.0014769312,0.00033952613,0.0007874485,0.000199621,0.000013400458],"category_scores_gemma":[0.0033091784,0.00021293195,0.000089162895,0.00022960904,0.00021780768,0.0011970741,0.00013025933,0.0003351373,7.5379965e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00055745593,0.0002934935,0.6935167,0.00025714686,0.00008629907,0.000013171743,0.032053426,0.000019648882,0.00021454036,0.27170166,0.00007368878,0.0012128062],"study_design_scores_gemma":[0.0015214975,0.00008230702,0.7384101,0.0001676499,0.00009698118,0.000012359508,0.017990516,0.00012025267,0.00068171415,0.0020938653,0.23837589,0.00044684377],"about_ca_topic_score_codex":0.0695703,"about_ca_topic_score_gemma":0.94905454,"teacher_disagreement_score":0.87948424,"about_ca_system_score_codex":0.00053374935,"about_ca_system_score_gemma":0.0025229985,"threshold_uncertainty_score":0.99982303},"labels":[],"label_agreement":null},{"id":"W7006550543","doi":"","title":"Variation in Public Perceptions Across Sustainable Transport Projects in Montréal, Canada","year":2023,"lang":"en","type":"other","venue":"eScholarship@McGill (McGill)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; California HIV/AIDS Research Program","keywords":"Variation (astronomy); Perception; Sustainability; Public policy; Public transport","score_opus":0.0215979626807008,"score_gpt":0.26206928520309414,"score_spread":0.24047132252239334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7006550543","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.51746297,0.00022472655,2.9939144e-7,0.000303474,0.00075927726,0.0019548163,0.0016283034,0.00079859525,0.47686753],"genre_scores_gemma":[0.76956534,0.00029965446,0.00004017888,0.00009506185,0.000078031146,0.00023767016,0.00011054659,0.00043646945,0.22913706],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.994914,0.00042730474,0.0008066129,0.0011188459,0.0010873439,0.0016458972],"domain_scores_gemma":[0.9984264,0.0001344827,0.00031874457,0.00058554596,0.00018775665,0.00034709944],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002237982,0.00051144615,0.00068507856,0.0005671882,0.0011150732,0.00011494009,0.0008258528,0.00088297593,0.0012752694],"category_scores_gemma":[0.0005423283,0.00057709153,0.00016852612,0.0025603806,0.00018651277,0.0010808249,0.00006737346,0.0012017465,0.00006099482],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030044492,0.0035785204,0.6090807,0.0028834236,0.00060341845,0.006251489,0.003930314,0.00021671443,0.000393952,0.31070825,0.0055061923,0.05654661],"study_design_scores_gemma":[0.0008370854,0.000021467498,0.2791083,0.00023899025,0.000032791675,5.641163e-7,0.005633743,0.000004005018,0.000006871059,0.0031254315,0.7101271,0.00086361467],"about_ca_topic_score_codex":0.9882936,"about_ca_topic_score_gemma":0.99974614,"teacher_disagreement_score":0.70462096,"about_ca_system_score_codex":0.0041967537,"about_ca_system_score_gemma":0.0012149157,"threshold_uncertainty_score":0.99966806},"labels":[],"label_agreement":null},{"id":"W7006612274","doi":"","title":"Urban journeys unveiled : a study of work commutes among the Montreal disadvantaged","year":2006,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University; Library and Archives Canada","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Disadvantaged; Work (physics); Power (physics); Order (exchange); Prejudice (legal term)","score_opus":0.015343538664806486,"score_gpt":0.27117448940360567,"score_spread":0.2558309507387992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7006612274","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8900079,0.0003270391,4.3533614e-8,0.000019213516,0.00093640905,0.0018462337,0.00032876935,0.0002027533,0.10633162],"genre_scores_gemma":[0.9839829,0.000056510915,0.000025432466,0.000031716867,0.0001482604,0.00017378078,0.0005103602,0.000118126096,0.014952896],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9932051,0.0016870184,0.0014777574,0.000985842,0.0017335743,0.00091075175],"domain_scores_gemma":[0.99591243,0.00075034675,0.0013249877,0.0011841673,0.0005094038,0.00031866814],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0025625355,0.0007535296,0.0011081821,0.00026374913,0.004070991,0.00021368187,0.0020680667,0.0007050572,0.00029361746],"category_scores_gemma":[0.00052294694,0.00060736574,0.00056797994,0.0014690638,0.00046006934,0.0009523863,0.00009199501,0.0020756724,0.000025426987],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010933257,0.0063952133,0.922475,0.00035003287,0.0010397932,0.00015531598,0.0050038304,0.00004784227,0.00062541955,0.007590602,0.0002626199,0.054961048],"study_design_scores_gemma":[0.0015286139,0.00019878383,0.95787615,0.0003374591,0.0007122844,2.694139e-7,0.024841407,0.0000017513231,0.0007994598,0.0061624777,0.0065981555,0.0009431644],"about_ca_topic_score_codex":0.057039015,"about_ca_topic_score_gemma":0.5135269,"teacher_disagreement_score":0.4564879,"about_ca_system_score_codex":0.00043978574,"about_ca_system_score_gemma":0.00011955135,"threshold_uncertainty_score":0.9996378},"labels":[],"label_agreement":null},{"id":"W7006681955","doi":"","title":"Using context-sensitivity to inform rural downtown streetscape renewal in southern Ontario","year":2009,"lang":"en","type":"dissertation","venue":"The Atrium (University of Guelph)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Downtown; Checklist; Rural area; Rural development; Key (lock)","score_opus":0.02652254750777468,"score_gpt":0.2647514846869081,"score_spread":0.23822893717913343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7006681955","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97928566,0.000053541316,0.000014631781,0.00050216727,0.00020976907,0.00042214172,0.000043212272,0.00003294817,0.019435937],"genre_scores_gemma":[0.98392075,0.000006961088,0.00009972896,0.000044656048,0.000074774296,1.0581677e-7,0.0001276611,0.00000787762,0.015717495],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99858093,0.00013262255,0.00021510766,0.00024406197,0.00048094746,0.0003463328],"domain_scores_gemma":[0.99904853,0.00007017378,0.0002839563,0.00029208217,0.00018527241,0.00011996379],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007568244,0.00019693054,0.00040492575,0.00017721111,0.0006249317,0.00003397504,0.00054472097,0.00029892384,0.00054565107],"category_scores_gemma":[0.000028447354,0.00020177984,0.00022445127,0.0005222321,0.00019793109,0.00031158325,0.000034657493,0.00037019933,0.000025781206],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019527223,0.00023109639,0.18933056,0.000088072346,0.000121804194,0.000084261366,0.76642543,0.00015254479,0.006554074,0.0006668976,0.00034172588,0.034050804],"study_design_scores_gemma":[0.00034815943,0.000033793243,0.78721625,0.00009884089,0.000105034305,1.7999663e-7,0.21027794,0.000016726923,0.000022245335,0.0004265559,0.0012094385,0.00024483772],"about_ca_topic_score_codex":0.87604505,"about_ca_topic_score_gemma":0.99662787,"teacher_disagreement_score":0.59788567,"about_ca_system_score_codex":0.0004650777,"about_ca_system_score_gemma":0.00080608623,"threshold_uncertainty_score":0.8228343},"labels":[],"label_agreement":null},{"id":"W7006734899","doi":"","title":"Walk the Less Trodden Path, or rather, the Less Driven: Mapping Pedestrian Paths and Local Air Pollution for Selective Walking in Cleaner Air","year":2017,"lang":"en","type":"article","venue":"Florence Research (University of Florence)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Air pollution; Air quality index; Metropolitan area; Pollution; Spatial variability; Pollutant; Pedestrian","score_opus":0.10125918826658113,"score_gpt":0.3411146156766652,"score_spread":0.23985542741008403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7006734899","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98398864,0.00012273081,0.0037578866,0.008689634,0.00016200363,0.0010705173,0.00004351026,0.000027102064,0.0021379436],"genre_scores_gemma":[0.9986607,0.0003007187,0.00021690108,0.000024570343,0.00018002807,0.0000069987036,0.0000059922118,0.0000080242235,0.0005960922],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9972288,0.0006052432,0.0001846764,0.00049428566,0.0007782942,0.00070867315],"domain_scores_gemma":[0.9981872,0.0005654498,0.00018828422,0.00050561014,0.000407091,0.00014635753],"candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0037763559,0.00014951159,0.00027439013,0.00015912419,0.005044759,0.00013368364,0.0017544164,0.00016854431,0.00004463755],"category_scores_gemma":[0.00045098053,0.0001055559,0.00011108942,0.0005681168,0.0043967576,0.0008898512,0.00024880338,0.0005733058,0.0000032996377],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012574608,0.00028619802,0.22878733,0.00022135302,0.00010080526,0.00011490436,0.21732983,0.00018649879,0.00042408897,0.0061971387,0.001858468,0.5432359],"study_design_scores_gemma":[0.0010534114,0.00016949148,0.7192935,0.00022443374,0.000022789496,0.0000010783087,0.26926374,0.0024436102,0.00010629082,0.0051044817,0.0020858173,0.00023134869],"about_ca_topic_score_codex":0.023424288,"about_ca_topic_score_gemma":0.107730635,"teacher_disagreement_score":0.5430046,"about_ca_system_score_codex":0.00023142195,"about_ca_system_score_gemma":0.0007860613,"threshold_uncertainty_score":0.9983127},"labels":[],"label_agreement":null},{"id":"W7007958803","doi":"","title":"An Analysis of Cycling Infrastructure Decisions in Montréal, Canada","year":2015,"lang":"en","type":"other","venue":"eScholarship@McGill (McGill)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cycling; Government (linguistics); Work (physics); Production (economics)","score_opus":0.016174316068784243,"score_gpt":0.2713555625854758,"score_spread":0.25518124651669155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7007958803","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.57480973,0.0007772093,4.405564e-7,0.000017841328,0.00053748395,0.00042067523,0.0050278665,0.00013920173,0.41826957],"genre_scores_gemma":[0.9735314,0.00029132515,0.0004714118,0.00011336412,0.00007146675,0.000014789662,0.0003941025,0.0002029138,0.024909217],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.995735,0.0004832972,0.00086263794,0.00087308517,0.001393005,0.000652961],"domain_scores_gemma":[0.99740857,0.000208481,0.0005972874,0.00094415684,0.00026048976,0.00058099726],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013243296,0.00045571654,0.0011457222,0.0009660178,0.0004557887,0.00004721665,0.0011726338,0.00077492895,0.0019767715],"category_scores_gemma":[0.00073752354,0.00045390645,0.00025899618,0.002917416,0.0002133839,0.00040406315,0.000075900585,0.0008469691,0.000008036646],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051903113,0.0024099988,0.59101975,0.0003965471,0.008028043,0.0011287205,0.00068579544,0.010017913,0.001997873,0.05229921,0.021780023,0.30971712],"study_design_scores_gemma":[0.00053387875,0.000032651773,0.048929073,0.0002100937,0.0010009827,2.6005722e-7,0.0011071162,0.00006333471,0.000093082985,0.0051330705,0.9420038,0.0008926567],"about_ca_topic_score_codex":0.95504564,"about_ca_topic_score_gemma":0.999021,"teacher_disagreement_score":0.9202238,"about_ca_system_score_codex":0.0012147843,"about_ca_system_score_gemma":0.0007279122,"threshold_uncertainty_score":0.99979126},"labels":[],"label_agreement":null},{"id":"W7008740561","doi":"","title":"Characterizing land use and transportation for transit-oriented development in the Montreal metropolitan region","year":2012,"lang":"en","type":"other","venue":"eScholarship@McGill (McGill)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Land use; Land-use planning; Land development; Urban planning; Sustainability","score_opus":0.03540426847937059,"score_gpt":0.26410222270358963,"score_spread":0.22869795422421904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7008740561","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9104985,0.000476579,0.000011197321,0.00012432599,0.00050674274,0.002183229,0.0011178545,0.00023458485,0.08484697],"genre_scores_gemma":[0.9822567,0.00021812704,0.000678563,0.000197925,0.00013299136,0.00018289122,0.00046813773,0.00019450941,0.015670167],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99737334,0.0003206526,0.0005299797,0.00060465705,0.00050039886,0.0006709915],"domain_scores_gemma":[0.99891406,0.00019987204,0.0003008035,0.0002983473,0.00008155405,0.00020533628],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011718895,0.00039678055,0.000468058,0.0002638139,0.0008331191,0.00009267883,0.00034792608,0.00050443265,0.00009896376],"category_scores_gemma":[0.00009634287,0.00033001325,0.00014382729,0.00037729318,0.00017958684,0.000802533,0.000007754103,0.00044601542,0.00000609162],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012578762,0.0023376527,0.3592431,0.0021431174,0.00092341664,0.00026403833,0.007032702,0.000001122925,0.0016270475,0.33234873,0.0004419196,0.29237926],"study_design_scores_gemma":[0.00092291675,0.000031959622,0.16093536,0.00022406245,0.00014819781,9.952163e-7,0.00082840293,5.669492e-7,0.00024154564,0.000934691,0.8351914,0.0005398837],"about_ca_topic_score_codex":0.019636044,"about_ca_topic_score_gemma":0.23825632,"teacher_disagreement_score":0.8347495,"about_ca_system_score_codex":0.0003827205,"about_ca_system_score_gemma":0.000052047257,"threshold_uncertainty_score":0.9999152},"labels":[],"label_agreement":null},{"id":"W7008817693","doi":"","title":"Data-Driven Municipal Infrastructure Planning for Healthy Communities","year":2024,"lang":"en","type":"dissertation","venue":"Scholarship at UWindsor (University of Windsor)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Recreation; Public health; Community health; Green infrastructure; Health care; Quality (philosophy); Urban planning; Social determinants of health; Urban infrastructure; Water supply","score_opus":0.07447883537247732,"score_gpt":0.3478446336597893,"score_spread":0.273365798287312,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7008817693","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98287034,0.0014575869,0.000016954895,0.00041016334,0.0012572069,0.000765676,0.0023856047,0.00017526833,0.010661193],"genre_scores_gemma":[0.96831536,0.0001536073,0.0008925547,0.00007350296,0.00033032158,0.0000021396536,0.014459947,0.000060135382,0.015712414],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99729425,0.0003125525,0.00037370416,0.00065038365,0.0007498565,0.0006192733],"domain_scores_gemma":[0.99751586,0.0003162252,0.00047288867,0.0011138297,0.00031542152,0.00026579585],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0012583471,0.0003771982,0.00068540487,0.00040777485,0.002300926,0.00014682603,0.0031056898,0.0009518378,0.0008009455],"category_scores_gemma":[0.00009958155,0.0004754358,0.00032502587,0.0005009049,0.00051662273,0.0013062856,0.00029401423,0.0013755376,0.00003584799],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0037636016,0.00027384917,0.36419597,0.0042213663,0.0009874844,0.00008340635,0.6052064,0.00017906539,0.00018389775,0.0021766908,0.014821062,0.003907212],"study_design_scores_gemma":[0.0014338687,0.00020647705,0.41939408,0.0013214577,0.0010128523,9.616763e-7,0.40884176,0.00028421104,0.000026229733,0.0053852857,0.16101639,0.0010764371],"about_ca_topic_score_codex":0.0036958698,"about_ca_topic_score_gemma":0.1154502,"teacher_disagreement_score":0.19636463,"about_ca_system_score_codex":0.0002916773,"about_ca_system_score_gemma":0.000871944,"threshold_uncertainty_score":0.99976975},"labels":[],"label_agreement":null},{"id":"W7009021921","doi":"","title":"Determinants of Mode Share over Time: How Changing Transport System Affects Transit Use in Toronto, Ontario, Canada","year":2014,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Public transport; Mode choice; Transit (satellite); Equity (law); Transit system; Mode (computer interface); Disadvantage; Rail transit","score_opus":0.014078913660263249,"score_gpt":0.23411779066942362,"score_spread":0.22003887700916036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7009021921","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9838581,0.000046242327,9.831764e-7,0.0000125745255,0.0003774837,0.00061196,0.0007206308,0.00010979883,0.014262211],"genre_scores_gemma":[0.9977792,0.0000054299303,0.00009526954,0.00007927485,0.000037855585,0.000036411726,0.000046041834,0.00005139194,0.0018691558],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9963721,0.00036611987,0.00056333235,0.00074194104,0.0009719963,0.0009845231],"domain_scores_gemma":[0.99849075,0.00020082777,0.0002700883,0.0005146161,0.00014171697,0.00038197782],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013341404,0.0004008493,0.0007591299,0.00012641339,0.00074762787,0.00005704943,0.0006458116,0.00032257038,0.00058688014],"category_scores_gemma":[0.000114436814,0.00042037782,0.00022082381,0.00043752373,0.000112338574,0.002056114,0.000030110137,0.00042128036,0.000004418739],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002845862,0.0003378842,0.9589977,0.00095203565,0.00009919989,0.00031087725,0.00088982406,0.00012989617,0.0062480527,0.013066362,0.00000974637,0.018673817],"study_design_scores_gemma":[0.0023855004,0.00014346327,0.9600433,0.0013495628,0.00020911629,0.000004398315,0.0015667634,0.00060480204,0.015505795,0.00030265158,0.016296146,0.0015884936],"about_ca_topic_score_codex":0.98388,"about_ca_topic_score_gemma":0.9997949,"teacher_disagreement_score":0.017085323,"about_ca_system_score_codex":0.0039530424,"about_ca_system_score_gemma":0.00035391594,"threshold_uncertainty_score":0.9998706},"labels":[],"label_agreement":null},{"id":"W7009190159","doi":"","title":"Developing Youth-informed and Quality-aware Spatial Accessibility Measures to Urban Parks Using a Survey-based 2SFCA Method in London, Ontario and Halifax, Nova Scotia","year":2023,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Recreation; Attractiveness; Urban park; Nova scotia; Public park; National park; Equity (law); Population","score_opus":0.31932495913607845,"score_gpt":0.4239125276144451,"score_spread":0.10458756847836664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7009190159","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9899551,0.000034291057,0.0084885005,0.00021176369,0.00025400458,0.000705826,0.00012279696,0.0001702341,0.000057468467],"genre_scores_gemma":[0.99877065,0.000011534159,0.00049727317,0.00022856865,0.000055176268,0.000001062098,0.00009929645,0.000027951666,0.00030845858],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99530417,0.0014887458,0.00061753875,0.0010224751,0.0007298245,0.000837256],"domain_scores_gemma":[0.99782723,0.0006063729,0.00026483182,0.00045215158,0.00035767377,0.0004917112],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0052069062,0.000392181,0.0006386311,0.0007572223,0.0006108217,0.0006048254,0.0007321634,0.00035312836,0.000032974203],"category_scores_gemma":[0.0005014618,0.00044327384,0.0000928795,0.0019666408,0.00032478417,0.002007919,0.0003120927,0.0005988307,0.000012946207],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003026452,0.000043240525,0.98461866,0.00008715559,0.000028282808,0.000046548565,0.013860492,0.000027942773,0.000046246743,0.000015907037,1.8683723e-7,0.00092266646],"study_design_scores_gemma":[0.0012225584,0.00003581619,0.9947922,0.00022671504,0.00005501779,4.1750238e-7,0.0025268744,0.00000233659,0.00029892856,0.000070476395,0.00021115615,0.00055750826],"about_ca_topic_score_codex":0.13241473,"about_ca_topic_score_gemma":0.9891472,"teacher_disagreement_score":0.8567324,"about_ca_system_score_codex":0.0010655929,"about_ca_system_score_gemma":0.0018855557,"threshold_uncertainty_score":0.9998019},"labels":[],"label_agreement":null},{"id":"W7009776475","doi":"","title":"Evaluating Transportation Policies and Practices in Canada’s Largest Municipalities","year":2021,"lang":"en","type":"report","venue":"The Atrium (University of Guelph)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transportation planning; Land-use planning; Land use; Sustainability; Equity (law); Regional planning; Plan (archaeology); Public transport","score_opus":0.10895777075581808,"score_gpt":0.3573290288934444,"score_spread":0.24837125813762634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7009776475","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.980377,0.0023021023,0.0000020864795,0.003613017,0.00022259813,0.00021558887,0.00014322986,0.00001307633,0.013111278],"genre_scores_gemma":[0.99194247,0.0026959842,0.00006951734,0.000020863743,0.000100491045,2.9376173e-7,0.000101645084,0.0000075062326,0.0050612395],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99801797,0.00032705744,0.0002283587,0.00025070523,0.0009256093,0.00025031643],"domain_scores_gemma":[0.99815416,0.00037069214,0.0007805968,0.00025011055,0.00038056864,0.00006384979],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020767506,0.0001285985,0.00035555277,0.00008063729,0.0004916795,0.000026235368,0.00042858414,0.00014276571,0.00024773757],"category_scores_gemma":[0.00030440086,0.0001322809,0.00008406671,0.00031588398,0.0003709727,0.0003137791,0.000030535608,0.00032133143,3.5600334e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006220393,0.000049618247,0.90797246,0.00055458915,0.000125048,0.000089362424,0.08614012,0.000044940938,0.00020648433,0.0007282475,0.0015403071,0.0024866555],"study_design_scores_gemma":[0.00014590357,0.000010156842,0.8364445,0.00008803926,0.00018547253,3.8485737e-7,0.14006199,0.00001269656,0.000003422904,0.00009767999,0.022820786,0.00012897003],"about_ca_topic_score_codex":0.9991062,"about_ca_topic_score_gemma":0.9998306,"teacher_disagreement_score":0.07152793,"about_ca_system_score_codex":0.00052222464,"about_ca_system_score_gemma":0.012126808,"threshold_uncertainty_score":0.99347353},"labels":[],"label_agreement":null},{"id":"W7009915292","doi":"","title":"Fostering Active Neighbourhoods: Exploring the Role of Parental Social Support in the Relationship between the Built Environment and Children’s Physical Activity.","year":2024,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Social support; Built environment; Qualitative research; Social environment; Social relation; Perception","score_opus":0.057060269793684615,"score_gpt":0.30532963913502653,"score_spread":0.24826936934134192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7009915292","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9846238,0.00011981599,3.2850934e-8,0.00014240171,0.0002244507,0.00088609016,0.00052779284,0.000041954758,0.0134336455],"genre_scores_gemma":[0.99900806,0.00004884484,0.0000032005094,0.000018633154,0.0002614745,0.0002576697,0.00018184152,0.000049900285,0.00017039735],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99679756,0.0007488734,0.00041788435,0.0006246153,0.00094050536,0.00047055745],"domain_scores_gemma":[0.9981215,0.001059425,0.00034058423,0.00036596126,0.000031814587,0.00008072373],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0013814728,0.000382568,0.0004258305,0.000103628045,0.0023207357,0.00015356808,0.0008581164,0.00026731548,0.000036500645],"category_scores_gemma":[0.00019344264,0.00024658372,0.000298386,0.00039635284,0.00034964364,0.0008386723,0.00018751775,0.0017974697,0.000016208516],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000239593,0.0004771572,0.42958423,0.00016312912,0.0003354963,0.000010191427,0.021047464,0.0000049991245,0.0012473058,0.044083424,0.0000014945076,0.50280553],"study_design_scores_gemma":[0.00016474325,0.000037669593,0.9366958,0.000077050514,0.000250318,5.0804255e-7,0.015034633,0.0000012641093,0.0023155527,0.044476457,0.0006723138,0.0002736654],"about_ca_topic_score_codex":0.0028202143,"about_ca_topic_score_gemma":0.0059348736,"teacher_disagreement_score":0.5071116,"about_ca_system_score_codex":0.0003347677,"about_ca_system_score_gemma":0.00006425479,"threshold_uncertainty_score":0.9999986},"labels":[],"label_agreement":null},{"id":"W7010170674","doi":"","title":"Green and active transportation planning with Pinawa, Manitoba","year":2024,"lang":"en","type":"dissertation","venue":"Mspace (University of Manitoba)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Signage; Downtown; Tourism; Renting; Transportation planning; Public transport; Urban planning; Recreation; Sustainable transport","score_opus":0.016772914652158494,"score_gpt":0.2423407170575516,"score_spread":0.22556780240539312,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7010170674","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9841929,0.0003677145,0.000050802806,0.00035690857,0.00021487233,0.00032613985,0.00007124851,0.00009415388,0.014325231],"genre_scores_gemma":[0.9949748,0.00010798555,0.00017810565,0.0000074683444,0.00009335881,6.781412e-7,0.00044129582,0.000021727945,0.0041745855],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988044,0.000046371304,0.000096276526,0.00040598103,0.0004256556,0.00022130272],"domain_scores_gemma":[0.99939716,0.00003862621,0.00019273676,0.00013029105,0.00014087485,0.0001003076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013988581,0.00019304159,0.00029500257,0.0001853858,0.0004698517,0.00004192898,0.00024982973,0.0002711602,0.000022302293],"category_scores_gemma":[0.0000035953353,0.00022485154,0.00008871914,0.00029847957,0.00024558674,0.00045939698,0.000006092474,0.00031739307,0.000010696258],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014502337,0.00013617496,0.8478632,0.0019148764,0.00046359823,0.0005154782,0.13445586,0.000013885518,0.00015146278,0.0020883796,0.001166884,0.00977998],"study_design_scores_gemma":[0.0002003505,0.000054444754,0.69855326,0.00032863164,0.0002869607,1.4461963e-7,0.29659933,0.0000058902906,0.000030541287,0.00035548615,0.00338844,0.00019655385],"about_ca_topic_score_codex":0.09620449,"about_ca_topic_score_gemma":0.9838188,"teacher_disagreement_score":0.8876143,"about_ca_system_score_codex":0.00011609413,"about_ca_system_score_gemma":0.00020041357,"threshold_uncertainty_score":0.9169179},"labels":[],"label_agreement":null},{"id":"W7010797030","doi":"","title":"Jeunes adultes avec une histoire familiale et personnelle de migrations internationales multiples dans leur enfance et leur adolescence","year":2022,"lang":"fr","type":"other","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Child care; Immigration; Family life; Domestic work; Adolescent development","score_opus":0.020194806723921366,"score_gpt":0.2893174255834022,"score_spread":0.2691226188594808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7010797030","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6203948,0.008395329,0.0062707467,0.0138907395,0.002232648,0.001109212,0.0010503819,0.0004694669,0.34618667],"genre_scores_gemma":[0.5120497,0.00075539417,0.0018680997,0.0007763364,0.0002784351,0.00008639457,0.00024347071,0.00007991366,0.48386228],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99648243,0.00060226815,0.000585683,0.0009870286,0.0007632968,0.0005793015],"domain_scores_gemma":[0.99841386,0.0003762074,0.0003993081,0.0004439504,0.00015685712,0.00020982031],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00057377125,0.00053051405,0.0005013258,0.00016106002,0.0012957058,0.00014201058,0.0011770513,0.00029621262,0.027323073],"category_scores_gemma":[0.0002145943,0.000531773,0.0003998645,0.0006153785,0.0015855889,0.0004970713,0.00012576809,0.00065846206,0.00013894883],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023688097,0.0005422787,0.8713321,0.00013597356,0.00007097981,0.000024405686,0.091098495,0.0002575763,0.00034665022,0.022985572,0.011449092,0.0017331649],"study_design_scores_gemma":[0.0006476175,0.00007505957,0.51280266,0.0004685812,0.00013632725,0.0000032037904,0.07634891,0.0020076782,0.00009571093,0.00095269433,0.40532666,0.0011348985],"about_ca_topic_score_codex":0.13969456,"about_ca_topic_score_gemma":0.75344944,"teacher_disagreement_score":0.6137549,"about_ca_system_score_codex":0.0006489342,"about_ca_system_score_gemma":0.0006988735,"threshold_uncertainty_score":0.99971336},"labels":[],"label_agreement":null},{"id":"W7010928711","doi":"","title":"Leadership dynamics in urban cycling movements","year":2012,"lang":"en","type":"other","venue":"CBS Research Portal (Copenhagen Business School)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Centrality; Dynamics (music); Shared leadership; Social dynamics; Leadership style; Perception; Transformational leadership; Work (physics); Leadership studies","score_opus":0.15691763679204057,"score_gpt":0.3990852861328416,"score_spread":0.24216764934080104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7010928711","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0064196493,0.0074670957,0.000047263824,0.0005049559,0.00097014656,0.0017623433,0.00011323341,0.0002587082,0.9824566],"genre_scores_gemma":[0.2497657,0.00041885182,0.000116977,0.000085440995,0.0017565129,0.00013029655,0.0003877004,0.00039747683,0.74694103],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99300694,0.00067966274,0.00073824794,0.0010301347,0.0022719754,0.0022730464],"domain_scores_gemma":[0.99744344,0.00013958094,0.00030541557,0.00090683694,0.0004119982,0.00079273],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.004648211,0.000494651,0.0007270595,0.0010473564,0.0005207252,0.00045162157,0.0017569321,0.00096601347,0.12853068],"category_scores_gemma":[0.0010167261,0.0004996702,0.0001560444,0.0029424266,0.00097377616,0.0008296856,0.00022849637,0.0016864648,0.0052653584],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004811646,0.00046717646,0.27973285,0.0005661792,0.00008042318,0.0002922308,0.00071072206,0.0000014029761,0.000023278806,0.0010324137,0.7145505,0.002494727],"study_design_scores_gemma":[0.00088569324,0.000020700601,0.16957845,0.0012753996,0.00003704865,5.893604e-7,0.008054814,0.000019213283,0.000025464422,0.00029427873,0.81865793,0.0011504521],"about_ca_topic_score_codex":0.042740274,"about_ca_topic_score_gemma":0.14650513,"teacher_disagreement_score":0.24334604,"about_ca_system_score_codex":0.0007403794,"about_ca_system_score_gemma":0.0015114935,"threshold_uncertainty_score":0.9997455},"labels":[],"label_agreement":null},{"id":"W7010989479","doi":"","title":"Levels and correlates of active transportation among Queen’s University employees pre- versus post-COVID-19 pandemic","year":2023,"lang":"en","type":"dissertation","venue":"QSpace (Queen's University Library)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mirroring; Logistic regression; Pandemic; Descriptive statistics; Population; Public transport; Sustainability; Public health","score_opus":0.0190986015446109,"score_gpt":0.2572670633937954,"score_spread":0.2381684618491845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7010989479","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99261165,0.000017315519,0.000024490095,0.002078448,0.0005112745,0.00067643,0.0009623319,0.00054900435,0.0025690568],"genre_scores_gemma":[0.87676245,0.0005349167,0.000062842664,0.000014613621,0.000047692498,7.3247e-7,0.0019488513,0.000042528616,0.12058538],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977041,0.0003152579,0.00026052367,0.0007674901,0.0005153695,0.00043726634],"domain_scores_gemma":[0.99801207,0.0005459225,0.00053347385,0.00028592523,0.00017219747,0.0004504038],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00013171195,0.0003871366,0.000556585,0.00053475413,0.0007791295,0.00005882141,0.0006486425,0.0007887934,0.0004362277],"category_scores_gemma":[0.00009899708,0.00048269567,0.00028201367,0.0009929981,0.00061074796,0.0026940545,0.000035340086,0.0005632953,0.000008058012],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0031170398,0.000106079686,0.93518186,0.00037559005,0.00026778344,0.00013035632,0.056477096,0.00003883305,0.000005204539,0.001468736,0.0025502662,0.0002811522],"study_design_scores_gemma":[0.0010650082,0.00012922297,0.90067536,0.00012893525,0.00039094512,9.521457e-9,0.09074775,8.656216e-7,0.000110652756,0.0002850344,0.0059983674,0.00046784637],"about_ca_topic_score_codex":0.22840217,"about_ca_topic_score_gemma":0.0890978,"teacher_disagreement_score":0.13930435,"about_ca_system_score_codex":0.0003774396,"about_ca_system_score_gemma":0.0015853504,"threshold_uncertainty_score":0.9997625},"labels":[],"label_agreement":null},{"id":"W7011084233","doi":"","title":"La transformation des centres commerciaux dans la région de Montréal : le rôle du transport collectif","year":2022,"lang":"fr","type":"other","venue":"Open MIND","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transport infrastructure; Rail transportation; Context (archaeology); Pilotage","score_opus":0.022967998586112332,"score_gpt":0.2765892854708293,"score_spread":0.25362128688471697,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7011084233","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42737103,0.00038982267,0.00031845103,0.0010773558,0.00014003272,0.00068643736,0.00020735347,0.000007194406,0.56980234],"genre_scores_gemma":[0.7678559,0.0003522306,0.00064502814,0.00002853284,0.00011944563,0.000067420624,0.00025399268,0.00007256104,0.2306049],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99728227,0.0008311883,0.00048600842,0.00048539802,0.00040834717,0.0005067827],"domain_scores_gemma":[0.99911916,0.00016928033,0.00021084753,0.000250687,0.00004320159,0.00020680684],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001353661,0.00033650885,0.000479181,0.000090050286,0.0014060372,0.00022711992,0.0010389182,0.00042421522,0.085804135],"category_scores_gemma":[0.000016868715,0.00035459953,0.00024525178,0.0005921188,0.00091428217,0.000654896,0.000040561776,0.0004561187,0.000111370086],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002529238,0.0013832148,0.5149263,0.00013550943,0.00018557181,0.00016467646,0.26964518,0.00015540572,0.00009470208,0.0026133892,0.0037275155,0.20671561],"study_design_scores_gemma":[0.00084250147,0.000050326955,0.1075832,0.00008952637,0.00018275902,0.000005849219,0.030039296,0.000057632387,0.00016051429,0.00047482998,0.8601335,0.00038004143],"about_ca_topic_score_codex":0.10694992,"about_ca_topic_score_gemma":0.5736415,"teacher_disagreement_score":0.85640603,"about_ca_system_score_codex":0.0006131084,"about_ca_system_score_gemma":0.0010671703,"threshold_uncertainty_score":0.999894},"labels":[],"label_agreement":null},{"id":"W7014478208","doi":"","title":"A preliminary analysis of population and employment dynamics within the Greater Toronto Area, the Greater Montreal Area, and the Greater Vancouver Area between 2006 and 2016 in relation to customized accessibility geography: On the topics of the determinants of residential choice, gentrification, and sustainable urban growth","year":2022,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Relation (database); Population; Dynamics (music); Government (linguistics); Work (physics)","score_opus":0.012383273531601164,"score_gpt":0.2563173626593525,"score_spread":0.24393408912775136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7014478208","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958105,0.00027095134,3.5162947e-7,0.00013859525,0.00010823442,0.002250445,0.00068599853,0.000012282572,0.0007226216],"genre_scores_gemma":[0.99804616,0.00009193806,0.000008007081,0.000041906373,0.000021262504,0.00019766444,0.00019348504,0.000023436169,0.0013761172],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99580544,0.0013232094,0.001068101,0.00068914966,0.00076605077,0.00034803632],"domain_scores_gemma":[0.99699724,0.00069199444,0.0011177079,0.00075075164,0.0003599999,0.00008228305],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0032708053,0.00037442183,0.00073202606,0.00022203117,0.0016331637,0.00011259151,0.00061418704,0.00027674958,0.00007044538],"category_scores_gemma":[0.0005351116,0.00018059048,0.0002282533,0.000777601,0.00046204592,0.0005807617,0.00018815229,0.00044312334,6.268678e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012358323,0.000052547824,0.9931289,0.00010131903,0.0003002116,0.0000013533659,0.0023406981,0.000029280425,0.0000107358455,0.0010541145,0.000007670878,0.0017373421],"study_design_scores_gemma":[0.0009192089,0.00007037126,0.98819536,0.00011688073,0.0014845796,2.1182039e-7,0.004452586,0.00019682026,0.00017396957,0.004150308,0.000038184156,0.00020150353],"about_ca_topic_score_codex":0.11630379,"about_ca_topic_score_gemma":0.3508998,"teacher_disagreement_score":0.23459601,"about_ca_system_score_codex":0.0003190523,"about_ca_system_score_gemma":0.000053983247,"threshold_uncertainty_score":0.9996666},"labels":[],"label_agreement":null},{"id":"W7014728981","doi":"","title":"Re-evaluating the impact of urban form on travel patterns in Europe and North America","year":2006,"lang":"en","type":"article","venue":"Utrecht University Repository (Utrecht University)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Seriousness; Context (archaeology); Work (physics); Population; Urban planning; Empirical research","score_opus":0.02265357583747488,"score_gpt":0.2506538335604082,"score_spread":0.22800025772293334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7014728981","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86780155,0.00002202759,0.00006876721,0.00012365187,0.00007620726,0.00024707816,0.00003357933,0.00004663763,0.13158049],"genre_scores_gemma":[0.98500836,0.000056737168,0.000044089513,0.0000115899675,0.00007210398,9.418641e-8,0.00001547537,0.000008955601,0.014782585],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998244,0.00042504925,0.0002014103,0.00041580925,0.00035329929,0.00036045082],"domain_scores_gemma":[0.99888325,0.0002558232,0.0002528969,0.00032439135,0.00016257924,0.00012104953],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029859925,0.00019290888,0.0002802894,0.0002758955,0.0007322454,0.000032678323,0.0005650325,0.00012402516,0.00006118185],"category_scores_gemma":[0.000030441446,0.00017623682,0.00015795855,0.0014677817,0.0005292944,0.00041256752,0.00007974972,0.00030651563,0.000002461353],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024423547,0.00023135684,0.9898595,0.000014503504,0.00004283494,0.00020015093,0.0057840925,0.00012161,0.00014801063,0.00059318467,0.0003204727,0.002440011],"study_design_scores_gemma":[0.0009103511,0.000329208,0.9792184,0.00006229955,0.0000940075,8.3235597e-7,0.014338965,0.00014301906,0.0001510272,0.000052048672,0.004432323,0.00026748326],"about_ca_topic_score_codex":0.059740532,"about_ca_topic_score_gemma":0.018830152,"teacher_disagreement_score":0.11720681,"about_ca_system_score_codex":0.0004990246,"about_ca_system_score_gemma":0.00035866967,"threshold_uncertainty_score":0.9990736},"labels":[],"label_agreement":null},{"id":"W7014763492","doi":"","title":"Report Active Quarter: Brackmills Industrial Estate 2022 – Active Travel and Physical Activity Infrastructure","year":2022,"lang":"en","type":"other","venue":"NECTAR - Northampton Electronic Collection of Thesis and Research (University of Northampton)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Audit; Real estate; CLARITY; Estate; Census; Quarter (Canadian coin); Vegetation (pathology)","score_opus":0.02007781696413769,"score_gpt":0.2873699631496363,"score_spread":0.2672921461854986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7014763492","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9350212,0.00013108019,0.000023698844,0.00049727457,0.00014166046,0.0012188983,0.0003010948,0.00006379682,0.062601276],"genre_scores_gemma":[0.90910983,0.002843646,0.000025872307,0.000003755947,0.00027680717,0.000009547464,0.00010611001,0.000090549016,0.08753388],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9955443,0.0009517866,0.00024010222,0.0009664617,0.0014641469,0.0008331804],"domain_scores_gemma":[0.9978254,0.00047558866,0.00070827914,0.00044651263,0.0002738472,0.00027036882],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011636278,0.0003662007,0.0009206898,0.00094951194,0.0015168637,0.00003818531,0.00051247526,0.000524776,0.0042599095],"category_scores_gemma":[0.00015168688,0.00040685525,0.00031286833,0.0016854614,0.0016127054,0.00036022594,0.00022400201,0.0018660722,0.0000012111019],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.011816794,0.0042390656,0.26173282,0.0007727901,0.005157643,0.00036714406,0.09347164,0.000027937143,0.001973344,0.0011555487,0.13850553,0.48077977],"study_design_scores_gemma":[0.0046876892,0.0029909837,0.38338363,0.00020897173,0.0006383379,0.000029592085,0.04524326,0.00018676191,0.0009442462,0.0015972059,0.5585415,0.0015478563],"about_ca_topic_score_codex":0.05510134,"about_ca_topic_score_gemma":0.09114995,"teacher_disagreement_score":0.4792319,"about_ca_system_score_codex":0.00074056914,"about_ca_system_score_gemma":0.0022721563,"threshold_uncertainty_score":0.99983835},"labels":[],"label_agreement":null},{"id":"W7015987633","doi":"","title":"Why it might be too soon for Ontario to lift most COVID-19 mask mandates on March 21","year":2022,"lang":"en","type":"other","venue":"Internet Archive (Internet Archive)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Lift (data mining); Public health","score_opus":0.032804402243103686,"score_gpt":0.30693354487931923,"score_spread":0.2741291426362156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7015987633","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0024895894,0.00011814654,0.0079747485,0.0149676,0.0019759727,0.004113041,0.0063590454,0.00049585203,0.961506],"genre_scores_gemma":[0.00475416,0.00005480918,0.0018535664,0.024577761,0.0011123718,0.00066301145,0.0039350786,0.00049689994,0.96255237],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9935258,0.0006594026,0.00094803877,0.0021666754,0.0012307572,0.0014693097],"domain_scores_gemma":[0.9959439,0.0012239463,0.00050354894,0.0010502981,0.000051335428,0.0012269794],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00085360167,0.001008402,0.0011132002,0.0010020091,0.00032115157,0.00040014647,0.0032617983,0.0002987117,0.1471172],"category_scores_gemma":[0.0003405068,0.0009893042,0.00077790493,0.00029280205,0.00088612596,0.00015392949,0.00085172866,0.0013162877,0.00063139916],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013451985,0.00037316204,0.011528286,0.00022578675,0.0003678267,0.0001236812,0.04333952,0.000010050484,0.000016489039,0.004178534,0.9382675,0.00022391633],"study_design_scores_gemma":[0.0010632442,0.000771955,0.0009424977,0.0003397871,0.00013092274,0.0000027459912,0.00097080646,0.00003957099,0.000033598833,0.0037627583,0.9908333,0.0011088494],"about_ca_topic_score_codex":0.69090277,"about_ca_topic_score_gemma":0.9748988,"teacher_disagreement_score":0.28399605,"about_ca_system_score_codex":0.00087796466,"about_ca_system_score_gemma":0.0011923603,"threshold_uncertainty_score":0.9992557},"labels":[],"label_agreement":null},{"id":"W7017980756","doi":"","title":"Case 7 : Going Beyond Bike Racks and Pedestrian Crossovers: Achieving Health Equity in School Travel Planning","year":2020,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Equity (law); Pedestrian; Transportation planning; Health equity; Government (linguistics); Wheeling; Public transport; Work (physics); Occupational safety and health","score_opus":0.20479400402446568,"score_gpt":0.40877426512187653,"score_spread":0.20398026109741085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7017980756","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954473,0.00035425083,0.0003002129,0.0015853556,0.00013740124,0.00047138054,0.000041269715,0.00014869757,0.0015141265],"genre_scores_gemma":[0.998183,0.00006591193,0.00005132965,0.0009698787,0.0001867127,8.007552e-7,0.000012847119,0.000026495645,0.0005029827],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99693847,0.00051135296,0.00043183472,0.00080955523,0.00046949362,0.0008392762],"domain_scores_gemma":[0.9981876,0.00017026706,0.00027498716,0.00026881753,0.000068897374,0.0010294556],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013119364,0.00030459874,0.0004824236,0.00029405707,0.0011400856,0.0007099178,0.00063478516,0.00024374896,0.000047858906],"category_scores_gemma":[0.00020766725,0.00037012858,0.00011304376,0.0009081425,0.00033087516,0.0032729057,0.00032563112,0.0009804906,0.00002576871],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001598615,0.000052334315,0.9820466,0.00013295567,0.000017940387,0.0027875272,0.013480943,0.000011548861,0.00007255428,0.000049503444,8.0122743e-7,0.0011874213],"study_design_scores_gemma":[0.0015437409,0.00011778007,0.98706853,0.00022087134,0.000034509852,0.00002427775,0.009788542,0.0000011630417,0.00004828098,0.000092565475,0.00064978574,0.0004099522],"about_ca_topic_score_codex":0.00047704505,"about_ca_topic_score_gemma":0.04232454,"teacher_disagreement_score":0.041847493,"about_ca_system_score_codex":0.00050853996,"about_ca_system_score_gemma":0.00067170913,"threshold_uncertainty_score":0.99987507},"labels":[],"label_agreement":null},{"id":"W7018611984","doi":"","title":"The effects of remote work on urban sprawl : 20 years of pre-covid data","year":2024,"lang":"fr","type":"other","venue":"Archipelago (University of Quebec in Montreal)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Urban sprawl; Urban regeneration; Metropolitan area; Urban planning; Transportation infrastructure","score_opus":0.014065300353277788,"score_gpt":0.24154740024354204,"score_spread":0.22748209989026424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7018611984","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9136852,0.004730592,0.00007143932,0.0007017623,0.00071120384,0.001031518,0.0002893685,0.00003843477,0.078740455],"genre_scores_gemma":[0.6779581,0.0013485273,0.00073193334,0.000020207412,0.00013914914,3.7175639e-7,0.000077506615,0.000057683937,0.31966653],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99754983,0.0004587934,0.00036812018,0.00065869634,0.0005729778,0.00039160537],"domain_scores_gemma":[0.99685824,0.0011530309,0.0005087291,0.0013022469,0.00004202351,0.00013573356],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007586019,0.00025952864,0.0006606849,0.00023487193,0.00013511276,0.000015758218,0.002242338,0.00032776894,0.0003862336],"category_scores_gemma":[0.00017968139,0.00026335704,0.00026121238,0.00085191533,0.0021242613,0.00017222945,0.00035292452,0.00050724443,0.000058157617],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00064340106,0.00045131685,0.011364703,0.0012689832,0.00036700864,0.0001400973,0.09802038,0.000012917516,0.000020628115,0.0033440595,0.0112076895,0.8731588],"study_design_scores_gemma":[0.0010460941,0.00030251537,0.8798885,0.00340128,0.000624445,1.7304211e-7,0.010228022,0.0001858306,0.000018453067,0.019963576,0.08388426,0.00045689373],"about_ca_topic_score_codex":0.6907917,"about_ca_topic_score_gemma":0.9775179,"teacher_disagreement_score":0.87270194,"about_ca_system_score_codex":0.000118789096,"about_ca_system_score_gemma":0.00035741963,"threshold_uncertainty_score":0.9999819},"labels":[],"label_agreement":null},{"id":"W7019179104","doi":"","title":"Évaluation de l'impact de la mise en service d'une infrastructure de transport en commun sur l'évolution dans le temps des émissions de gaz à effet de serre d'une ville : étude du cas de la Canada Line du SkyTrain de Vancouver","year":2024,"lang":"fr","type":"other","venue":"Archipelago (University of Quebec in Montreal)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transportation infrastructure; Transport infrastructure; Air transport; Passenger information; Private transport","score_opus":0.00649629696368502,"score_gpt":0.22708795271126847,"score_spread":0.22059165574758344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7019179104","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97634566,0.00038606802,0.010265774,0.0014141011,0.0000993464,0.00049590913,0.00042550074,0.000088426816,0.010479238],"genre_scores_gemma":[0.9833076,0.00063058024,0.0077428985,0.00015782594,0.00018851661,0.0000048842535,0.00016646655,0.00009905768,0.0077021457],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99412173,0.0033200535,0.0004061065,0.0005477789,0.00048297783,0.0011213562],"domain_scores_gemma":[0.9973477,0.0011529436,0.0002949599,0.0004317801,0.00011042935,0.0006621612],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0033836316,0.00053448067,0.00069340214,0.00026520452,0.000737171,0.0000444568,0.0010795767,0.0009555562,0.0005241881],"category_scores_gemma":[0.00019130702,0.00062560063,0.00034135047,0.0009555271,0.0010074968,0.00034414855,0.000088032946,0.0012683441,0.000002851238],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.00023573273,0.0003205893,0.59667516,0.00051594287,0.00023489165,0.000666622,0.3623106,0.023301532,0.0013615807,0.00021608955,0.0014282423,0.012733036],"study_design_scores_gemma":[0.0013371091,0.000047468235,0.8992155,0.0006840683,0.000560971,0.000030511084,0.066025384,0.011218462,0.000077501674,0.01881378,0.001502109,0.0004870887],"about_ca_topic_score_codex":0.9992232,"about_ca_topic_score_gemma":0.99997514,"teacher_disagreement_score":0.3025404,"about_ca_system_score_codex":0.005999163,"about_ca_system_score_gemma":0.011032231,"threshold_uncertainty_score":0.99961954},"labels":[],"label_agreement":null},{"id":"W7019685762","doi":"","title":"Identifying Drivers &amp; Barriers to Potential Adoption of Electrically-Assisted Bicycles by Post-Secondary Students in Region of Waterloo, Canada","year":2022,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Likert scale; Sustainability; Perception; Process (computing); Set (abstract data type); Sustainable transport; Survey data collection","score_opus":0.009330978517118225,"score_gpt":0.24016872226760397,"score_spread":0.23083774375048574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7019685762","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984359,0.00009973019,0.000006422881,0.00030518215,0.0003684096,0.00047259987,0.00018977773,0.000019394298,0.000102576196],"genre_scores_gemma":[0.95230126,0.00009519039,0.00014108606,0.00001640178,0.00001195452,0.0000010317348,0.0012584841,0.000016334618,0.04615826],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9974673,0.00023973126,0.00035271086,0.00045726172,0.0011164871,0.00036653315],"domain_scores_gemma":[0.9986542,0.000032405635,0.00053263485,0.0002469057,0.00029698823,0.0002368538],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003688903,0.00021125254,0.0005405421,0.00050890836,0.0003986101,0.000021502106,0.00091046735,0.0002443844,0.0007697911],"category_scores_gemma":[0.000040033894,0.00027032365,0.00019491937,0.0007432025,0.00014877932,0.00034302738,0.00007051346,0.0003321743,0.0000013296698],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015127952,0.00039104337,0.39917406,0.0008588176,0.000321506,0.00014254311,0.5408712,0.00007236191,0.049663045,0.000029087114,0.003792507,0.0031710125],"study_design_scores_gemma":[0.0008226018,0.00010846139,0.49254736,0.00015100646,0.00018498556,2.7686835e-7,0.5038972,0.000002142515,0.0012872049,0.000035107973,0.0006213848,0.0003423049],"about_ca_topic_score_codex":0.9820488,"about_ca_topic_score_gemma":0.9955765,"teacher_disagreement_score":0.09337328,"about_ca_system_score_codex":0.00058610406,"about_ca_system_score_gemma":0.0013186949,"threshold_uncertainty_score":0.9999749},"labels":[],"label_agreement":null},{"id":"W7019796304","doi":"","title":"Individual and socio-environmental determinants of overweight and obesity in Urban Canada","year":2010,"lang":"en","type":"article","venue":"Cronfa (Swansea University)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Overweight; Obesity; Population; Public health; Physical activity","score_opus":0.0067427456793612995,"score_gpt":0.20100271027466762,"score_spread":0.1942599645953063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7019796304","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99668217,0.000044246342,0.0000013538445,0.00006052078,0.00007613684,0.000096965414,0.00007189643,0.0000067432934,0.0029599408],"genre_scores_gemma":[0.99894047,0.000026038759,0.00003422674,0.000016336295,0.000020749345,1.0026714e-7,0.000004011491,0.0000030397648,0.0009550372],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993008,0.00004445539,0.00009069109,0.00019378374,0.00018301114,0.00018731016],"domain_scores_gemma":[0.9996835,0.000042999152,0.000053785814,0.00008993885,0.0000086840655,0.00012108866],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016419162,0.0000755801,0.0001328146,0.000064832406,0.00026119352,0.000016418084,0.00017568245,0.000092345224,0.00011421956],"category_scores_gemma":[0.000009371063,0.0000854917,0.000019077825,0.00011575228,0.00068760343,0.00026199294,0.000051965475,0.00014994325,2.5099416e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011832805,0.00003993092,0.9957702,0.000009861223,0.000004219945,0.000036686884,0.00275587,3.273952e-8,0.00017327668,0.00042346143,0.00006501756,0.0007095647],"study_design_scores_gemma":[0.00031995008,0.00001145057,0.98315406,0.000005555308,0.0000171682,2.586872e-7,0.0040029692,0.0000021473325,0.00020808785,0.00008737025,0.0120921545,0.000098838376],"about_ca_topic_score_codex":0.28926593,"about_ca_topic_score_gemma":0.89288276,"teacher_disagreement_score":0.60361683,"about_ca_system_score_codex":0.00007667731,"about_ca_system_score_gemma":0.00034039142,"threshold_uncertainty_score":0.7154669},"labels":[],"label_agreement":null},{"id":"W7020296617","doi":"","title":"Linking place of employment &amp; health living : the impact of the built environment near workplaces on physical activity, body mass index &amp; sedentary driving time","year":2016,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Built environment; Work (physics); Level design; Occupational safety and health; Public health; Urban design; Urban planning; Work environment; Urban environment; Human factors and ergonomics","score_opus":0.013641320805267214,"score_gpt":0.24338278656917522,"score_spread":0.229741465763908,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7020296617","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99835575,0.000030552936,0.00022762053,0.0006064268,0.000055895787,0.0003642521,0.00008424129,0.000023212977,0.00025207992],"genre_scores_gemma":[0.99871475,0.00005613588,0.00004039375,0.0000116124165,0.000047727484,5.0813856e-7,0.0000020573098,0.000009836922,0.0011169553],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982418,0.00035466635,0.00014488041,0.00031302482,0.00062595215,0.000319672],"domain_scores_gemma":[0.9986567,0.00039156817,0.00039030463,0.00041117368,0.00004286451,0.0001074057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007324078,0.000068151974,0.00031470024,0.000021735936,0.00073563703,0.000058750327,0.0006916303,0.00007867393,0.00026965723],"category_scores_gemma":[0.00003605579,0.00010107449,0.00029893764,0.00021885907,0.0009947175,0.00031939484,0.00017755908,0.00017468564,0.000009455415],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020260117,0.00039406124,0.9383795,0.000023635477,0.000062654755,0.000001270856,0.0032081744,0.00009610626,0.0010162661,5.016919e-7,0.0004009565,0.056396585],"study_design_scores_gemma":[0.00026440047,0.000066770706,0.99806017,0.0005785928,0.000024423627,3.6645864e-7,0.00055146316,0.000050199746,0.000004222177,0.00013844443,0.00015136228,0.00010956723],"about_ca_topic_score_codex":0.24152277,"about_ca_topic_score_gemma":0.3528174,"teacher_disagreement_score":0.1112946,"about_ca_system_score_codex":0.00037206922,"about_ca_system_score_gemma":0.00029262417,"threshold_uncertainty_score":0.763528},"labels":[],"label_agreement":null},{"id":"W7020306999","doi":"","title":"Les voies lyonnaises : futur réseau de mobilité structurant de la métropole de Lyon ?","year":2024,"lang":"en","type":"dissertation","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Public transport; Quarter (Canadian coin); Cycling; Mode (computer interface); Transport infrastructure; Mode of transport; Structuring","score_opus":0.011237921899968693,"score_gpt":0.29064301405121656,"score_spread":0.27940509215124787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7020306999","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86112607,0.004878379,0.0015539592,0.002207155,0.00034407238,0.00036249138,0.00007380057,0.000385677,0.12906842],"genre_scores_gemma":[0.95994055,0.00090755,0.0042081336,0.000040882587,0.0001157659,0.00007209921,0.0005740312,0.00006004362,0.034080915],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9924745,0.005169731,0.00048643025,0.00067502185,0.0005441346,0.00065017847],"domain_scores_gemma":[0.99628156,0.0013901554,0.0002924639,0.00085555017,0.0008918113,0.0002884278],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0066150697,0.00034671818,0.00036444177,0.00018844623,0.001121984,0.0007907017,0.001200602,0.00056888285,0.00056669407],"category_scores_gemma":[0.0014043619,0.00035304844,0.00031231638,0.0005395051,0.0006669164,0.00024400106,0.00007641962,0.00073616515,0.00002414489],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009789514,0.00077831146,0.20336215,0.0014894085,0.00024725372,0.000048381684,0.4418643,0.000023575327,0.00909147,0.23212925,0.00340237,0.10746562],"study_design_scores_gemma":[0.00081467256,0.0000020228879,0.6854401,0.0041526766,0.0005235773,0.000008831388,0.039512724,0.0012624555,0.06965929,0.08734981,0.109579645,0.0016941921],"about_ca_topic_score_codex":0.068251714,"about_ca_topic_score_gemma":0.18672462,"teacher_disagreement_score":0.48207793,"about_ca_system_score_codex":0.00062820886,"about_ca_system_score_gemma":0.0017124019,"threshold_uncertainty_score":0.9998922},"labels":[],"label_agreement":null},{"id":"W7020560640","doi":"","title":"Les enjeux de la marche en banlieue dans un contexte de vieillissement : proposition d’une stratégie pour rendre des environnements de faible densité plus favorables à la marche pour les personnes âgées","year":2020,"lang":"fr","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Context (archaeology); Nursing homes; Research methodology","score_opus":0.015583965730435332,"score_gpt":0.23085917876453352,"score_spread":0.2152752130340982,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7020560640","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95988005,0.0099459775,0.0075205225,0.0020099056,0.00021098755,0.0007137433,0.000219806,0.00016422708,0.01933477],"genre_scores_gemma":[0.97704643,0.002372626,0.008003237,0.000072863026,0.000370465,0.00006669172,0.0005994004,0.00006129957,0.011406961],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99456483,0.0018295739,0.00063231325,0.0010114969,0.000966333,0.0009954659],"domain_scores_gemma":[0.99756247,0.00062515016,0.00054731994,0.00033381273,0.0002928735,0.00063836836],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0010515496,0.00074120006,0.00064695947,0.00019896531,0.011416865,0.00025313662,0.0008984661,0.0009855863,0.00026286804],"category_scores_gemma":[0.00020290085,0.00084263604,0.0005239708,0.00051354064,0.0018114278,0.0006930977,0.00014538858,0.0009776399,0.000021690095],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011686684,0.0008504269,0.4283939,0.0010499137,0.0007604827,0.0025391884,0.42437223,0.0025095583,0.099064805,0.022787647,0.00018430575,0.016318893],"study_design_scores_gemma":[0.0014179702,0.0001237746,0.5984637,0.0008107264,0.0008787621,0.00015381647,0.36841205,0.0016296738,0.01785325,0.0035925996,0.005843366,0.0008202989],"about_ca_topic_score_codex":0.30280483,"about_ca_topic_score_gemma":0.10945739,"teacher_disagreement_score":0.19334744,"about_ca_system_score_codex":0.010644849,"about_ca_system_score_gemma":0.0049307467,"threshold_uncertainty_score":0.99940246},"labels":[],"label_agreement":null},{"id":"W7020584068","doi":"","title":"LUTI modelling in the Netherlands: experiences with TIGRIS and a framework for a new LUTI model","year":2004,"lang":"en","type":"article","venue":"UvA-DARE (University of Amsterdam)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Transportation of Ontario","funders":"","keywords":"Sketch; Focus (optics); Urban planning; Calibration; Land-use planning","score_opus":0.03614853054406713,"score_gpt":0.2587550750711683,"score_spread":0.22260654452710116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7020584068","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.727251,0.00014165684,0.26998097,0.0014399268,0.00001924758,0.00025043025,0.0000071273676,0.00001794391,0.00089170085],"genre_scores_gemma":[0.9762979,0.000029473289,0.023292206,0.00008060177,0.000040847288,0.0000012162225,0.0000025641439,0.000004630786,0.0002505529],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99915874,0.000034789562,0.00009213087,0.00024272903,0.00023710413,0.00023450806],"domain_scores_gemma":[0.9995536,0.000082426675,0.000081095626,0.00015766917,0.00004515403,0.00008004929],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027921947,0.00009513414,0.00016729142,0.00005643291,0.0004303934,0.000040636187,0.0003326559,0.000103228216,0.00002627709],"category_scores_gemma":[0.000009540172,0.00007865345,0.000056030898,0.00027336756,0.00039212665,0.00040036914,0.000020854219,0.00012511756,6.030098e-7],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002936017,0.00009704122,0.02021228,0.00003908396,0.00001922283,0.0000123909085,0.9608693,0.008785916,0.000004204136,0.007773211,0.000117404205,0.0017763217],"study_design_scores_gemma":[0.0022823233,0.00025596708,0.010528285,0.00031960808,0.00008042527,0.0000010293221,0.8900395,0.015198478,0.000019650066,0.07950888,0.0013462857,0.00041954787],"about_ca_topic_score_codex":0.008337983,"about_ca_topic_score_gemma":0.013670472,"teacher_disagreement_score":0.2490469,"about_ca_system_score_codex":0.000040592822,"about_ca_system_score_gemma":0.00026859238,"threshold_uncertainty_score":0.99826556},"labels":[],"label_agreement":null},{"id":"W7020639735","doi":"","title":"Le vélo au féminin : déterminants et pratiques cyclistes dans les perspectives des femmes de Montréal et de Belo Horizonte","year":2024,"lang":"fr","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Gender relations; Research methodology; ESPACE","score_opus":0.012156518019221182,"score_gpt":0.25203709336195557,"score_spread":0.23988057534273438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7020639735","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8611704,0.04001971,0.00044715076,0.0017136034,0.0006878467,0.0004296155,0.00018151091,0.00023054404,0.09511958],"genre_scores_gemma":[0.9338636,0.0030262424,0.001398699,0.000067013876,0.00034498164,0.000055429005,0.00025362952,0.00005666143,0.06093374],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9958319,0.00076925603,0.0005974561,0.0010830228,0.0007929189,0.0009254557],"domain_scores_gemma":[0.9979598,0.000317092,0.0004611641,0.00036759648,0.00038052013,0.00051386084],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0009044995,0.00069049315,0.00063195836,0.00028490866,0.010829111,0.00028732826,0.00076641294,0.00080208364,0.00003537196],"category_scores_gemma":[0.00018346554,0.0007762756,0.0006101406,0.0005661086,0.0017707875,0.0013622177,0.00014012618,0.00090063235,0.00002263186],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.00031573346,0.0004188379,0.29808447,0.00029656445,0.0003114259,0.0014565841,0.54378563,0.00024385816,0.005820303,0.14745359,0.00017050565,0.0016424939],"study_design_scores_gemma":[0.00043128539,0.00013855394,0.52305406,0.0006908094,0.00046886725,0.000089073386,0.45842478,0.00028454541,0.004394055,0.0030175226,0.008353728,0.00065269676],"about_ca_topic_score_codex":0.7338237,"about_ca_topic_score_gemma":0.8645763,"teacher_disagreement_score":0.22496961,"about_ca_system_score_codex":0.011308436,"about_ca_system_score_gemma":0.014056492,"threshold_uncertainty_score":0.9994688},"labels":[],"label_agreement":null},{"id":"W7020934627","doi":"","title":"The much anticipated marriage of cycling and transit: But how will it work?","year":2011,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Public transport; Context (archaeology); Work (physics); Transit (satellite); Travel behavior; Cycling; Set (abstract data type); Data sharing; Journey to work","score_opus":0.04991010266284225,"score_gpt":0.26327195654800234,"score_spread":0.2133618538851601,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7020934627","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95271814,0.00020904382,0.0000014856324,0.00025289477,0.00036293495,0.00041932793,0.00013215275,0.00012533486,0.045778707],"genre_scores_gemma":[0.9978896,0.00027328957,0.00028691776,0.0001262281,0.0000383145,0.00001915941,0.000006022213,0.000037166574,0.0013233329],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99708885,0.00046606385,0.00054885185,0.00057038554,0.0005989621,0.00072691136],"domain_scores_gemma":[0.99833554,0.000350229,0.00027281165,0.00048856664,0.00023697807,0.0003158794],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0023754153,0.00029202222,0.00040822796,0.000089757676,0.0023200742,0.00010701985,0.00072057947,0.00029375227,0.000225728],"category_scores_gemma":[0.00042971445,0.00023404886,0.00019696562,0.00066500437,0.00079918164,0.001184004,0.000070086244,0.00055293797,0.000012148251],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015207214,0.0014046031,0.31871855,0.00045188013,0.00080592744,0.00022824803,0.0050173397,0.000005129407,0.06085258,0.29371384,0.000027878763,0.31725332],"study_design_scores_gemma":[0.004552476,0.0004961391,0.56051314,0.0007967446,0.000914326,0.000007715248,0.021541987,0.00003223041,0.17780423,0.12993501,0.10028378,0.0031222191],"about_ca_topic_score_codex":0.002964803,"about_ca_topic_score_gemma":0.008832342,"teacher_disagreement_score":0.31413108,"about_ca_system_score_codex":0.00009019003,"about_ca_system_score_gemma":0.000041594452,"threshold_uncertainty_score":0.9989788},"labels":[],"label_agreement":null},{"id":"W7021201817","doi":"","title":"Musiquer : plaidoyer évolutionniste transdisciplinaire","year":2012,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Social hierarchy; Unicorn; Social function","score_opus":0.0049721111022390145,"score_gpt":0.16533662838821428,"score_spread":0.16036451728597526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7021201817","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.031037852,0.0034063451,0.00007292874,0.009753672,0.0011873537,0.00034729965,0.0005295619,0.000018478097,0.9536465],"genre_scores_gemma":[0.5389117,0.00024359301,0.00025342967,0.00047566887,0.00038721427,0.000007652836,0.000012770666,0.00005381683,0.45965412],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9960555,0.00016083407,0.0004966927,0.0004613558,0.0021192809,0.00070637505],"domain_scores_gemma":[0.9985448,0.0001871043,0.00032520483,0.00029718108,6.9850614e-7,0.0006450113],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000024092062,0.00042449962,0.00053005613,0.000027620408,0.0005587315,0.000029528033,0.0004715301,0.00015775487,0.0071462505],"category_scores_gemma":[0.0000017032007,0.00041319022,0.000102674036,0.00016142023,0.00075115135,0.00058880926,0.00008632645,0.00032184515,3.6916095e-8],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040378686,0.00022583979,0.39697897,0.0014035616,0.0003622931,0.000104040955,0.0034192838,0.000014606793,0.00086484343,0.5465634,0.0076635866,0.041995805],"study_design_scores_gemma":[0.00027940108,0.000028870507,0.27032,0.00032789735,0.00011764457,9.240219e-7,0.003063844,0.00005751966,0.0012933575,0.0018348241,0.7221568,0.00051887595],"about_ca_topic_score_codex":0.02843509,"about_ca_topic_score_gemma":0.61227405,"teacher_disagreement_score":0.7144933,"about_ca_system_score_codex":0.00002620801,"about_ca_system_score_gemma":0.003501569,"threshold_uncertainty_score":0.999832},"labels":[],"label_agreement":null},{"id":"W7024144067","doi":"","title":"Proximité et transport actif : le cas des déplacements entre l’école et la maison","year":2015,"lang":"fr","type":"article","venue":"OpenEdition (OpenEdition)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Context (archaeology); Work (physics); Product (mathematics); Order (exchange); Perspective (graphical)","score_opus":0.043805684886095306,"score_gpt":0.3219099355757984,"score_spread":0.27810425068970307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7024144067","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.56955665,0.0013056998,0.0032894502,0.09612549,0.004542175,0.0020193418,0.0012976647,0.00028786444,0.32157564],"genre_scores_gemma":[0.9394145,0.00036255343,0.0014339972,0.011444643,0.0007584741,0.0003159562,0.0018349899,0.00006336303,0.044371493],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99477255,0.0011039358,0.00087274547,0.0009773243,0.0013588748,0.0009145474],"domain_scores_gemma":[0.99743456,0.00021261543,0.0004417999,0.000501317,0.0005802747,0.00082944735],"candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0029550996,0.0005586883,0.0005942957,0.00014643015,0.00094926567,0.0004426986,0.0007194822,0.0005339728,0.00596607],"category_scores_gemma":[0.00012624508,0.00061072106,0.00030036268,0.00086558436,0.0012269486,0.024770414,0.00007910529,0.0006410022,0.0009795888],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012595627,0.008367695,0.36298007,0.00083451247,0.0005349953,0.0007031058,0.02463946,0.00095374754,0.00034619638,0.5261635,0.038943492,0.034273617],"study_design_scores_gemma":[0.0038649691,0.0003876477,0.4800911,0.00055801135,0.00030805706,0.000021327056,0.0066467724,0.000096692704,0.0015307401,0.023067424,0.48229358,0.001133679],"about_ca_topic_score_codex":0.0061919033,"about_ca_topic_score_gemma":0.07825138,"teacher_disagreement_score":0.5030961,"about_ca_system_score_codex":0.00052118464,"about_ca_system_score_gemma":0.0017126219,"threshold_uncertainty_score":0.99979824},"labels":[],"label_agreement":null},{"id":"W7025192054","doi":"","title":"Transit accessibility, social equity and job type: commuting to work in Toronto 1996 and 2006","year":2013,"lang":"en","type":"other","venue":"eScholarship@McGill (McGill)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Equity (law); Social equality; Transit (satellite); Public transport; Journey to work","score_opus":0.034896622240618354,"score_gpt":0.3214457601644995,"score_spread":0.28654913792388115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7025192054","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42434636,0.0012826016,2.7274453e-7,0.00013786415,0.00039732238,0.0009623906,0.00032691477,0.00023120949,0.57231504],"genre_scores_gemma":[0.93560886,0.00026004383,0.0003929679,0.00045870297,0.00022699099,0.000053742664,0.000031519023,0.00024911127,0.06271804],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9957187,0.0005969054,0.0006950664,0.0011978876,0.00078461476,0.0010067915],"domain_scores_gemma":[0.9984137,0.00016954796,0.0002824479,0.00049807114,0.00011315161,0.00052311225],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0022721256,0.0005914437,0.0008923157,0.00017701671,0.0013423986,0.0003265499,0.00096620194,0.0010221406,0.0028871659],"category_scores_gemma":[0.00025632326,0.00061703776,0.00013822969,0.0006662189,0.00047345378,0.0009238804,0.000586043,0.0009201226,0.00006658834],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044185444,0.00071894913,0.22892615,0.0011257499,0.000282799,0.0000725509,0.0011012371,8.857366e-7,0.00069515745,0.055201285,0.0030113838,0.708422],"study_design_scores_gemma":[0.0015788728,0.00011056429,0.39636397,0.0008229699,0.00019260183,0.0000012208864,0.001606666,0.0000017471604,0.00010113933,0.012594382,0.5844146,0.0022112431],"about_ca_topic_score_codex":0.14025578,"about_ca_topic_score_gemma":0.57365894,"teacher_disagreement_score":0.70621073,"about_ca_system_score_codex":0.000960489,"about_ca_system_score_gemma":0.0000786698,"threshold_uncertainty_score":0.99995774},"labels":[],"label_agreement":null},{"id":"W7025351474","doi":"","title":"TRA-957: LONDON ON BIKES – LONDON’S CYCLING MASTER PLAN STRATEGIC CHANGES TO IMPROVE LONDON’S CYCLING CULTURE &amp; INFRASTRUCTURE","year":2016,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cycling; Master plan; Plan (archaeology); Work (physics); Strategic planning; Action plan","score_opus":0.10390707996079314,"score_gpt":0.32658364381232885,"score_spread":0.22267656385153572,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7025351474","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99377185,0.00013503189,0.0004192443,0.00190224,0.00096564216,0.0008470105,0.00022542778,0.00039410483,0.0013394287],"genre_scores_gemma":[0.97951806,0.00017359927,0.000096343916,0.00086087006,0.00076455966,0.000005778757,0.000045231227,0.00007222028,0.018463364],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9953325,0.00047148028,0.00048204043,0.0014240617,0.0009934163,0.0012965132],"domain_scores_gemma":[0.9974202,0.00021997085,0.00037961017,0.0008645509,0.00026809258,0.0008475866],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007597353,0.0006987431,0.00066417275,0.0006323175,0.00095501175,0.0006755604,0.0016502782,0.0007044422,0.0002674219],"category_scores_gemma":[0.000092055394,0.0005736275,0.00029097212,0.0008503753,0.00037116077,0.0021928686,0.00021149423,0.00091618905,0.00035775933],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043317856,0.00011744239,0.9778792,0.00007101366,0.000077346755,0.0001516554,0.0043076677,0.000017101353,0.0136113,0.00021033153,0.000008233837,0.0031154805],"study_design_scores_gemma":[0.0031533155,0.00050644134,0.93761367,0.0010131795,0.00023031286,0.0000063131693,0.0032547712,1.4952154e-7,0.009999779,0.0016138474,0.04084446,0.0017637787],"about_ca_topic_score_codex":0.0001086309,"about_ca_topic_score_gemma":0.062520415,"teacher_disagreement_score":0.062411785,"about_ca_system_score_codex":0.000627875,"about_ca_system_score_gemma":0.00025261068,"threshold_uncertainty_score":0.9996715},"labels":[],"label_agreement":null},{"id":"W7027950689","doi":"","title":"Diagnosi de la mobilitat als centres de la Universitat de Barcelona al Campus Diagonal - Portal del Coneixement (2018)","year":2019,"lang":"ca","type":"report","venue":"Dipòsit Digital de la Universitat de Barcelona (Universitat de Barcelona)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Metropolitan area; Limiting; Context (archaeology)","score_opus":0.008379114308980149,"score_gpt":0.26713219267902233,"score_spread":0.2587530783700422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7027950689","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7294514,0.003361961,0.001899733,0.0013509692,0.0007898398,0.0020510876,0.004720157,0.0006538514,0.25572097],"genre_scores_gemma":[0.95578825,0.0061238585,0.0019672273,0.0009910471,0.00052051054,0.00004336962,0.002854396,0.0004684448,0.031242907],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.97776306,0.0055196374,0.0016736882,0.0041016554,0.004256379,0.006685612],"domain_scores_gemma":[0.97939897,0.011021727,0.0017657029,0.0021036786,0.001063725,0.0046462165],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity"],"category_scores_codex":[0.007190214,0.003072973,0.003097628,0.0021749085,0.00409102,0.0020055354,0.0056984513,0.003515333,0.0068351575],"category_scores_gemma":[0.0011362357,0.0040221834,0.0031964635,0.0026543152,0.007953234,0.005227689,0.002234996,0.004734126,0.00028437487],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.0020526797,0.0028889116,0.8198571,0.0009938974,0.0032819896,0.03707188,0.03522178,0.0020462736,0.0007318401,0.010668243,0.08141534,0.0037700494],"study_design_scores_gemma":[0.008519593,0.00101738,0.50493467,0.0009668523,0.0038604704,0.0012717898,0.1157532,0.0009389762,0.00016028146,0.008199434,0.34862602,0.0057513365],"about_ca_topic_score_codex":0.012952168,"about_ca_topic_score_gemma":0.0017466828,"teacher_disagreement_score":0.31492245,"about_ca_system_score_codex":0.022676626,"about_ca_system_score_gemma":0.020325242,"threshold_uncertainty_score":0.9996812},"labels":[],"label_agreement":null},{"id":"W7028931068","doi":"","title":"The impact of the energy crisis on commuting patterns in the San Bernardino-Riverside-Ontario SMSA","year":2014,"lang":"en","type":"dissertation","venue":"CSUN ScholarWorks (California State University, Northridge)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Energy (signal processing); Field (mathematics); Noise (video); Energy consumption; Population","score_opus":0.011653330009334068,"score_gpt":0.2593565571861663,"score_spread":0.2477032271768322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7028931068","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9845865,0.00013016193,0.00006489516,0.00037494794,0.000528041,0.00048281404,0.00043218475,0.00003665327,0.013363802],"genre_scores_gemma":[0.99587375,0.00031935453,0.0000057569728,0.00012446444,0.00011847136,0.0000026640455,0.00038294654,0.000030185465,0.0031424016],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99567205,0.001380819,0.0005474866,0.0005565946,0.0010934991,0.00074954],"domain_scores_gemma":[0.99681264,0.00086145126,0.0008060937,0.0010251602,0.00032811207,0.00016653669],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0020288615,0.0004615806,0.0005178285,0.00024435352,0.0031356344,0.00035514447,0.00308397,0.00042135332,0.0002151237],"category_scores_gemma":[0.00014617402,0.0002830224,0.00083231885,0.001013253,0.0003912904,0.00039081366,0.00015514038,0.0018981218,0.000015389247],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029057544,0.00013506146,0.97635627,0.00002309591,0.0001281469,0.000024012275,0.01650602,0.00043890259,0.0000028149232,0.00042729566,0.002099279,0.0035685198],"study_design_scores_gemma":[0.0006042941,0.000069059504,0.9466216,0.0002436568,0.00014903073,3.6711566e-7,0.023561444,0.000017462142,0.000025883446,0.0005993557,0.027709382,0.00039844692],"about_ca_topic_score_codex":0.40234476,"about_ca_topic_score_gemma":0.90709156,"teacher_disagreement_score":0.5047468,"about_ca_system_score_codex":0.0010323665,"about_ca_system_score_gemma":0.0008567366,"threshold_uncertainty_score":0.9999622},"labels":[],"label_agreement":null},{"id":"W7029648792","doi":"","title":"La traduzione femminista in Canada","year":2015,"lang":"it","type":"other","venue":"Institutional Research Information System (University of Udine)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Subject (documents); Perspective (graphical); Interpretation (philosophy)","score_opus":0.08269425500582137,"score_gpt":0.30321157970740426,"score_spread":0.2205173247015829,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7029648792","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04387712,0.00009123711,0.00023872174,0.0005542143,0.0003815063,0.0007044318,0.0009989893,0.000028034785,0.9531257],"genre_scores_gemma":[0.9700075,0.00005767593,0.0000678976,0.000008478215,0.000084429914,0.0000013586996,0.00029401365,0.000009349746,0.029469317],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99514866,0.0005794908,0.00053028954,0.0002442593,0.003014637,0.00048264334],"domain_scores_gemma":[0.99765426,0.00019893907,0.0003939174,0.00027979325,0.0011230945,0.00035001774],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0040312964,0.00019057402,0.00046240786,0.00081976264,0.00060502894,0.00006395886,0.0009306724,0.00036330585,0.0018609368],"category_scores_gemma":[0.00020699769,0.00022414247,0.00008773772,0.0016177194,0.001244677,0.0014674343,0.000112911766,0.00066848,0.00043055398],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.0013945093,0.00042977117,0.11574331,0.009006908,0.00047463735,0.00082196394,0.07251484,0.0011530668,0.000006466504,0.24599795,0.5393906,0.013065973],"study_design_scores_gemma":[0.00097106455,0.00002478913,0.037849948,0.0008848603,0.000012913205,0.0000025254205,0.08178277,0.00038090546,6.4967344e-7,0.000033071265,0.87784564,0.00021083184],"about_ca_topic_score_codex":0.9675062,"about_ca_topic_score_gemma":0.96676135,"teacher_disagreement_score":0.92613035,"about_ca_system_score_codex":0.0062159835,"about_ca_system_score_gemma":0.031029278,"threshold_uncertainty_score":0.9990515},"labels":[],"label_agreement":null},{"id":"W7030025139","doi":"","title":"To maintain the prosperity of Canada","year":2015,"lang":"en","type":"other","venue":"QSpace (Queen's University Library)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Prosperity; Government (linguistics); Work (physics)","score_opus":0.0074295667244178715,"score_gpt":0.19961016029131437,"score_spread":0.19218059356689648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7030025139","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0025371294,0.000043476088,0.000011455268,0.06241448,0.0002626168,0.00075673196,0.0003424368,0.00013794146,0.93349373],"genre_scores_gemma":[0.04533389,0.000018684425,0.00021392123,0.00018691596,0.00017062131,7.4990606e-7,0.000036057005,0.000063003004,0.95397615],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983983,0.00022471555,0.00009526008,0.00031188084,0.0006287746,0.00034105],"domain_scores_gemma":[0.99903166,0.00003728042,0.0001431709,0.00041905438,0.000063195854,0.00030562762],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00018206247,0.00017525068,0.00027506033,0.000102825,0.00021938066,0.00003149665,0.0009521262,0.0001945182,0.0052396017],"category_scores_gemma":[0.000035782283,0.00015189877,0.000071590206,0.0006221395,0.00032120524,0.00024558988,0.00013262218,0.00021359039,0.000010178365],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019825884,0.000022013179,0.03245264,0.000022442277,0.00003021682,0.00002205314,0.00075291016,0.0000010407783,3.5168437e-8,0.0028322435,0.96379054,0.0000540265],"study_design_scores_gemma":[0.000110104294,0.000012807852,0.0057468656,0.0000448118,0.000041875544,4.6588813e-9,0.0032269647,1.0833766e-7,0.000011439684,0.00025555887,0.9903634,0.00018603179],"about_ca_topic_score_codex":0.9708367,"about_ca_topic_score_gemma":0.9512557,"teacher_disagreement_score":0.062227566,"about_ca_system_score_codex":0.00023421251,"about_ca_system_score_gemma":0.0048334864,"threshold_uncertainty_score":0.9956697},"labels":[],"label_agreement":null},{"id":"W7030353272","doi":"","title":"Motion to Faculty Council re: Trinity Western University","year":2014,"lang":"en","type":"article","venue":"eYLS (Yale Law School)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Scrutiny; Legal education; Diversity (politics); Motion (physics); Sexual orientation; Legal profession; Practice of law","score_opus":0.05558341513580531,"score_gpt":0.2856261844792986,"score_spread":0.2300427693434933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7030353272","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91543186,0.000013702495,0.0011917533,0.0017071926,0.0003046955,0.00023195364,0.00004017118,0.00018998174,0.0808887],"genre_scores_gemma":[0.9868281,0.0000053004374,0.0002077581,0.00070220703,0.0003070357,0.0000016642332,0.000016538,0.0000070284736,0.011924405],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982937,0.0002081402,0.00015827165,0.0003552113,0.0006578052,0.00032684434],"domain_scores_gemma":[0.9989272,0.000056349887,0.000066424065,0.00029939556,0.00026583305,0.00038481856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014224346,0.000116269206,0.00017683164,0.00002213006,0.00067769067,0.00009987205,0.00041941236,0.00012641937,0.00053036347],"category_scores_gemma":[0.0002325716,0.00011991077,0.00008861095,0.00031044343,0.00017546082,0.0006329526,0.000040097493,0.00018848293,0.0005324092],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011450051,0.00018736772,0.9568465,0.000026697717,0.000020085732,0.000009986663,0.0038504766,0.000024892455,0.00014426098,0.028977195,0.005776551,0.0040215245],"study_design_scores_gemma":[0.0003583858,0.000028929837,0.33006507,0.000013524901,0.000015807265,5.145369e-8,0.00047033586,0.0000037848263,0.000104585204,0.0009171885,0.66785794,0.00016437449],"about_ca_topic_score_codex":0.025095131,"about_ca_topic_score_gemma":0.17584665,"teacher_disagreement_score":0.6620814,"about_ca_system_score_codex":0.0004897862,"about_ca_system_score_gemma":0.0002312213,"threshold_uncertainty_score":0.98139685},"labels":[],"label_agreement":null},{"id":"W7030505620","doi":"","title":"Neighbourhood walkability and pedometer and accelerometer-assessed walking in Canadian adults","year":2016,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Heart And Stroke Foundation Of Quebec; Jewish General Hospital; Canadian Institutes of Health Research; McGill University Health Centre; McGill University; Heart and Stroke Foundation of Canada","keywords":"Walkability; Neighbourhood (mathematics); Built environment; Pedometer; Population; Pedestrian; Community design; Urban design","score_opus":0.014214752305976089,"score_gpt":0.265414507927592,"score_spread":0.25119975562161595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7030505620","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9138617,0.00028632424,1.2367948e-8,0.00006238822,0.00066819985,0.0008625089,0.0007800221,0.000101522804,0.08337732],"genre_scores_gemma":[0.9970842,0.0004044156,0.000097899676,0.000093887,0.00007755104,0.00009592565,0.00019430724,0.000086981636,0.001864838],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99512726,0.00041019014,0.0008791273,0.0015126463,0.0007012582,0.0013695022],"domain_scores_gemma":[0.997291,0.0004222662,0.00037208438,0.00047661067,0.00032626165,0.0011117199],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0021497663,0.0006477953,0.000831745,0.0007172015,0.0017704231,0.00029756344,0.00064426166,0.0010679414,0.00079517835],"category_scores_gemma":[0.0010248142,0.00061593234,0.00018277492,0.0007244737,0.00025519813,0.0017926567,0.00006066551,0.0010665413,0.00002446882],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004562244,0.00044685986,0.35707122,0.0010082402,0.00015650432,0.00013270136,0.0007707097,6.996904e-8,0.004429039,0.016024357,0.0000023091238,0.61950177],"study_design_scores_gemma":[0.0015313016,0.00012139057,0.95600724,0.0008096256,0.00012091211,0.0000017506599,0.001525525,0.0000016771402,0.0018029567,0.027957786,0.008818296,0.0013015382],"about_ca_topic_score_codex":0.5482736,"about_ca_topic_score_gemma":0.97074294,"teacher_disagreement_score":0.61820024,"about_ca_system_score_codex":0.0011462474,"about_ca_system_score_gemma":0.00035021288,"threshold_uncertainty_score":0.9996292},"labels":[],"label_agreement":null},{"id":"W7030573862","doi":"","title":"Note on national and county car ownership projections in ireland","year":2014,"lang":"en","type":"article","venue":"Trinity's Access to Research Output (TARA) (Trinity College Dublin)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Queen's University","keywords":"Conurbation; Metropolitan area; Irish; Car ownership; Public transport; Traffic congestion","score_opus":0.17561600512945982,"score_gpt":0.4448278788666095,"score_spread":0.2692118737371497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7030573862","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8904318,0.00003749911,0.000092999224,0.0103175705,0.00036781185,0.002269109,0.00041870913,0.00014709144,0.09591739],"genre_scores_gemma":[0.99370474,0.000065795466,0.00011659862,0.0005100057,0.00074109976,0.00029012826,0.000059277852,0.00003178776,0.0044805747],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9919904,0.0018160987,0.0007225959,0.0010930899,0.0030510377,0.0013267959],"domain_scores_gemma":[0.99399465,0.00310094,0.00014231486,0.00054653187,0.0014285538,0.00078697986],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.012786876,0.0003421046,0.0005599379,0.0017228479,0.0019792619,0.0009813146,0.0014530167,0.00039964166,0.00035809434],"category_scores_gemma":[0.006447104,0.00031774602,0.00013265232,0.0044495207,0.000856742,0.0015149984,0.00031880353,0.0016374121,0.00016246695],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003435333,0.0033512765,0.74966127,0.0003824438,0.000107736974,0.000118645505,0.008871882,0.00032316791,0.000059633236,0.1824438,0.039435945,0.0118088685],"study_design_scores_gemma":[0.0031062022,0.0004511136,0.701269,0.00011928061,0.000018054046,0.0000013240085,0.0011749903,0.0007916141,0.00015898491,0.00791945,0.28433323,0.00065679033],"about_ca_topic_score_codex":0.018492894,"about_ca_topic_score_gemma":0.10449281,"teacher_disagreement_score":0.24489729,"about_ca_system_score_codex":0.0009086267,"about_ca_system_score_gemma":0.001902142,"threshold_uncertainty_score":0.99992746},"labels":[],"label_agreement":null},{"id":"W7035732416","doi":"","title":"Accessibility matters : exploring the determinants of public transport mode share income groups in Canadian cities","year":2020,"lang":"en","type":"other","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Public transport; Mode (computer interface); Public policy; Mode choice; Work (physics)","score_opus":0.03420656939183872,"score_gpt":0.27312242842345963,"score_spread":0.2389158590316209,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7035732416","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9202067,0.0025899906,0.0016877215,0.014736314,0.00085023424,0.0043935524,0.0026854128,0.0013399419,0.051510077],"genre_scores_gemma":[0.9889404,0.0003495344,0.0006870785,0.0010504145,0.0002737281,0.0007530745,0.00009531232,0.0002800326,0.007570421],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9957455,0.00037778987,0.0009329912,0.00079763454,0.00073378865,0.0014123331],"domain_scores_gemma":[0.99749696,0.00011262734,0.00049091567,0.0010224791,0.00007365801,0.00080334366],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014821104,0.0005360768,0.0009048841,0.00089905347,0.0003773146,0.00018023844,0.0021645075,0.0005988656,0.0010244575],"category_scores_gemma":[0.00017471434,0.00047683835,0.00031890607,0.001268789,0.0006525304,0.0007033239,0.000098629826,0.00081375835,0.000007995884],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018499064,0.000062303014,0.9891014,0.0002444705,0.00003123013,0.000071490664,0.0035965876,0.00000741537,0.000007946818,0.0011304785,0.0025218648,0.003206275],"study_design_scores_gemma":[0.00029961797,0.000029047138,0.9621224,0.00046526012,0.000055196764,0.0000012989228,0.0016955587,0.00053883874,0.00009700433,0.001156615,0.032834917,0.00070428126],"about_ca_topic_score_codex":0.9633174,"about_ca_topic_score_gemma":0.9977141,"teacher_disagreement_score":0.06873365,"about_ca_system_score_codex":0.0010821929,"about_ca_system_score_gemma":0.0022529238,"threshold_uncertainty_score":0.9998887},"labels":[],"label_agreement":null},{"id":"W7037460637","doi":"","title":"Estimating a Toronto Pedestrian Route Choice Model using Smartphone GPS Data: Itâ s Not the Destination, but the Journey, that Matters","year":2017,"lang":"en","type":"dissertation","venue":"TSpace (University of Toronto)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Pedestrian; Global Positioning System; Mixed logit; Discrete choice; Preference; Choice set; Set (abstract data type); Revealed preference; Nested logit","score_opus":0.09687951257379547,"score_gpt":0.3482096636504393,"score_spread":0.25133015107664386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7037460637","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9090838,0.0013083963,0.0066091535,0.005762882,0.0017717535,0.0011383377,0.00028259473,0.00012751244,0.07391557],"genre_scores_gemma":[0.9761332,0.00017820274,0.003811674,0.00006913997,0.00032631293,8.331535e-7,0.00033181973,0.000026030155,0.019122776],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99787885,0.00018075846,0.00019931492,0.00053263473,0.00080097653,0.000407486],"domain_scores_gemma":[0.9970632,0.0002159451,0.001074977,0.0012415912,0.0002701364,0.00013414155],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012421272,0.0002826209,0.0004015109,0.000020086689,0.0040768175,0.00028368394,0.003065795,0.00027401125,0.0019086433],"category_scores_gemma":[0.00019276307,0.00024464028,0.00018037584,0.000047323218,0.0004659298,0.0032448482,0.00013440946,0.0003075779,0.0000041139624],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010670482,0.00054049783,0.09211748,0.0011778218,0.0011793737,0.000067764995,0.77175575,0.0037405249,0.000951354,0.0010533044,0.012496856,0.11385219],"study_design_scores_gemma":[0.0008756858,0.000027400407,0.7642424,0.00041908218,0.0011267273,0.0000013230261,0.18319494,0.04692085,0.000023867246,0.00019839396,0.0022336412,0.0007356909],"about_ca_topic_score_codex":0.9088433,"about_ca_topic_score_gemma":0.968446,"teacher_disagreement_score":0.6721249,"about_ca_system_score_codex":0.00085240934,"about_ca_system_score_gemma":0.0008752001,"threshold_uncertainty_score":0.99900377},"labels":[],"label_agreement":null},{"id":"W7037715318","doi":"","title":"Évolution des opinions et de la perception des commerçants riverains d'une piste cyclable récente : le cas du Réseau Express Vélo Saint-Denis (Montréal)","year":2025,"lang":"fr","type":"other","venue":"Archipelago (University of Quebec in Montreal)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Poison control; Cultural environment","score_opus":0.011368132640576087,"score_gpt":0.24925046633781683,"score_spread":0.23788233369724074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7037715318","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8415297,0.0007805783,0.009443519,0.0016142379,0.00020066052,0.00053172396,0.0004017055,0.00008078798,0.14541703],"genre_scores_gemma":[0.9001976,0.0030593246,0.0036451358,0.00006885875,0.000093037605,0.0000025748782,0.00020061081,0.00004347471,0.09268935],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9962079,0.0016714479,0.000359247,0.0006616199,0.00037840393,0.0007213617],"domain_scores_gemma":[0.9982368,0.0005627619,0.00034710826,0.0004503679,0.00014184685,0.00026112556],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.00095785334,0.00041111346,0.0006768969,0.00040075072,0.0012387602,0.00006163288,0.0008575887,0.00055098947,0.00082110835],"category_scores_gemma":[0.000105163876,0.00053133466,0.00037828632,0.0007195511,0.0044884854,0.00068700605,0.00020351124,0.00061354804,0.000040010338],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032294408,0.0014044627,0.42592192,0.00048760447,0.00020834019,0.00016208674,0.3040492,0.00045394225,0.00025731977,0.033169977,0.0019795452,0.23158267],"study_design_scores_gemma":[0.0014307989,0.000048697002,0.8928076,0.0009355328,0.00015307228,0.000002001499,0.050904617,0.00056885986,0.0000047087415,0.042894408,0.009842155,0.00040753145],"about_ca_topic_score_codex":0.9962959,"about_ca_topic_score_gemma":0.99895793,"teacher_disagreement_score":0.46688572,"about_ca_system_score_codex":0.0024097394,"about_ca_system_score_gemma":0.001298302,"threshold_uncertainty_score":0.99971384},"labels":[],"label_agreement":null},{"id":"W7042311293","doi":"","title":"Outdoor walking and physical activity and their relationship with neighbourhood walkability in older adults with self-reported difficulty in walking outdoors","year":2022,"lang":"en","type":"dissertation","venue":"Mspace (University of Manitoba)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Walkability; Neighbourhood (mathematics); Physical activity; Multilevel model; Level design; Built environment; Poison control","score_opus":0.010906882510408385,"score_gpt":0.23032113182463956,"score_spread":0.21941424931423117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7042311293","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973246,0.000054403892,0.000007873675,0.00023414254,0.000049337552,0.0007986406,0.000021734782,0.000068246045,0.0014410453],"genre_scores_gemma":[0.9995943,0.00002629949,0.00010439738,0.000002647613,0.000022534028,0.0000035162245,0.00008220895,0.000018102211,0.00014602956],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981865,0.0002364018,0.00013975023,0.0006877324,0.0004286853,0.00032090498],"domain_scores_gemma":[0.99892795,0.00025333255,0.00039182385,0.0002137138,0.00010612452,0.00010703145],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004913283,0.00027798064,0.0005140945,0.00022518613,0.00057860167,0.000044689332,0.00022671999,0.00021357348,0.000019043528],"category_scores_gemma":[0.000044709806,0.0002677145,0.00006718709,0.00064512284,0.000253758,0.00062261376,0.00004923857,0.0006996248,2.7764372e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006432931,0.00047212958,0.9125824,0.00023323431,0.00004951143,0.00003494352,0.082822345,0.0000048337333,0.00001863972,0.00006589347,0.0000024395683,0.0030703382],"study_design_scores_gemma":[0.001063396,0.00006354682,0.76946694,0.00021155147,0.00008410619,5.0510215e-7,0.22867952,0.000079219666,0.000011566161,0.0000827013,0.000009556999,0.00024741408],"about_ca_topic_score_codex":0.04461927,"about_ca_topic_score_gemma":0.9377536,"teacher_disagreement_score":0.8931343,"about_ca_system_score_codex":0.00032397467,"about_ca_system_score_gemma":0.00020814559,"threshold_uncertainty_score":0.9999775},"labels":[],"label_agreement":null},{"id":"W7042572891","doi":"","title":"Perceptions de l'activité physique et capabilités des aînés vivant en habitation à loyer modique","year":2022,"lang":"fr","type":"other","venue":"Archipelago (University of Quebec in Montreal)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Promotion (chess); Social impact; Perception","score_opus":0.012627229658438424,"score_gpt":0.2447195618703188,"score_spread":0.23209233221188036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7042572891","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89665115,0.00015634065,0.0022892938,0.0015108366,0.000108168075,0.0006129683,0.00014146145,0.000059005353,0.09847081],"genre_scores_gemma":[0.8898791,0.0005445101,0.0022166667,0.00007460589,0.00007097438,0.000005397113,0.000121562814,0.000056733294,0.10703047],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9962059,0.0018438918,0.00028978696,0.00066875963,0.00043004815,0.00056158303],"domain_scores_gemma":[0.998358,0.00061713066,0.0003081855,0.0004372324,0.00007757664,0.00020185634],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00096423086,0.00034739153,0.0005923444,0.00035971942,0.00057079137,0.00002473995,0.0007535498,0.0003876602,0.011621666],"category_scores_gemma":[0.00008240263,0.00045655642,0.00038931883,0.0006158303,0.0016708598,0.00061953824,0.00014712007,0.00084584166,0.00005439517],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014174357,0.0010454186,0.30398372,0.00024721643,0.00010440974,0.00007262743,0.51847154,0.0011474992,0.0004865847,0.01551197,0.0002945988,0.15849271],"study_design_scores_gemma":[0.000499975,0.00007135893,0.8319989,0.000121170386,0.00008624931,7.3879835e-7,0.1270467,0.00028573224,0.0000053565022,0.037016097,0.0025095355,0.00035822208],"about_ca_topic_score_codex":0.9091959,"about_ca_topic_score_gemma":0.9987458,"teacher_disagreement_score":0.52801514,"about_ca_system_score_codex":0.0013215465,"about_ca_system_score_gemma":0.0007873159,"threshold_uncertainty_score":0.99978864},"labels":[],"label_agreement":null},{"id":"W7043496099","doi":"","title":"Supportive cycling environments for women","year":2019,"lang":"en","type":"dissertation","venue":"Mspace (University of Manitoba)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Manitoba","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Population; TSG101; Context (archaeology); Nucleofection; Work (physics); Filter (signal processing)","score_opus":0.016544649735216313,"score_gpt":0.24518460575205409,"score_spread":0.2286399560168378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7043496099","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97467947,0.00004519928,0.00019960929,0.00014073635,0.0004822149,0.0005890075,0.000078123005,0.000026531465,0.0237591],"genre_scores_gemma":[0.9347977,0.00008357998,0.00018690254,0.000008999973,0.000069114154,0.0000012668393,0.00034023527,0.000014966478,0.06449722],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998884,0.00004397676,0.00010118969,0.00032353052,0.00033113494,0.00031613553],"domain_scores_gemma":[0.9992849,0.000065874636,0.00031941483,0.00018262865,0.000053807464,0.000093356866],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031356452,0.00013648627,0.0003033183,0.00009386654,0.0003942612,0.000016710352,0.00041163064,0.0002794462,0.00011525233],"category_scores_gemma":[0.000020902271,0.00018828164,0.00016919608,0.00009896491,0.00013324207,0.00026815978,0.00001637318,0.00014140195,0.000051001498],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009155533,0.00036681487,0.9092283,0.000921335,0.00034616727,0.0000176328,0.077771425,0.000014594086,0.0009386715,0.0010797916,0.0026589485,0.005740724],"study_design_scores_gemma":[0.00046104388,0.000062356135,0.59471065,0.000057185945,0.00008922694,1.2027853e-8,0.35816702,0.000010606543,0.00012134712,0.0005333125,0.045541197,0.00024604038],"about_ca_topic_score_codex":0.0038635323,"about_ca_topic_score_gemma":0.43453518,"teacher_disagreement_score":0.43067166,"about_ca_system_score_codex":0.00030101492,"about_ca_system_score_gemma":0.00018821556,"threshold_uncertainty_score":0.76779026},"labels":[],"label_agreement":null},{"id":"W7043645531","doi":"","title":"Understanding the Relationship Between Changes in Accessibility to Jobs, Income, and Unemployment in Toronto, Canada","year":2018,"lang":"en","type":"article","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Unemployment; Equity (law); Public transport; Overtime; Census; Neighbourhood (mathematics); Economic inequality; Household income; Psychological intervention","score_opus":0.06122985066062166,"score_gpt":0.31130620657653996,"score_spread":0.2500763559159183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7043645531","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.979518,0.0003069874,0.006085739,0.011569524,0.00009994093,0.00089161925,0.000025596906,0.000086246786,0.0014163641],"genre_scores_gemma":[0.99811083,0.00002227274,0.00066102133,0.0007029085,0.00017365406,0.00014645167,0.000005212844,0.00001548059,0.00016215054],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978865,0.00030237198,0.00039354584,0.0004024111,0.00040880588,0.00060637924],"domain_scores_gemma":[0.9986385,0.0005461687,0.00010753141,0.00041073677,0.000046727055,0.00025034536],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021914297,0.00017531765,0.00024685074,0.00013648323,0.00056500576,0.0001479798,0.00049436564,0.00016409344,0.00006271187],"category_scores_gemma":[0.0005003472,0.0001508404,0.000028279603,0.000785421,0.00026588707,0.00038402263,0.00011649892,0.00027163178,7.6920577e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002296027,0.000024664167,0.98607504,0.000010131652,0.0000038393036,0.00000420736,0.0028691916,0.0000057510833,0.0000108395425,0.010064802,0.00010170906,0.0008068826],"study_design_scores_gemma":[0.00018383854,0.000034291246,0.9879735,0.00005357691,0.000007265993,1.9047738e-7,0.0029567988,0.00012972514,0.00008113193,0.008078032,0.00032236613,0.00017929767],"about_ca_topic_score_codex":0.97988784,"about_ca_topic_score_gemma":0.99987,"teacher_disagreement_score":0.019982146,"about_ca_system_score_codex":0.005240241,"about_ca_system_score_gemma":0.00072300725,"threshold_uncertainty_score":0.9985785},"labels":[],"label_agreement":null},{"id":"W7043724589","doi":"","title":"Transport for Suburbia: Beyond the Automobile Age","year":2010,"lang":"en","type":"article","venue":"RMIT Research Repository (RMIT University Library)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Public transport; China; Transportation planning; Task (project management); Face (sociological concept); Service (business); Rural area; Curitiba","score_opus":0.028974344389549784,"score_gpt":0.29947422559847137,"score_spread":0.2704998812089216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7043724589","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7596391,0.00005306568,0.000035409736,0.003166214,0.0005029612,0.0009095805,0.00003365628,0.00024135243,0.23541866],"genre_scores_gemma":[0.84072274,0.000022550896,0.00028885528,0.0000501697,0.0005829161,0.00000948941,0.000031099877,0.00002090427,0.15827125],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9971541,0.0004077261,0.00021605396,0.0005493969,0.00086677994,0.00080590614],"domain_scores_gemma":[0.99805534,0.0006251587,0.000071887785,0.0006536254,0.00020025435,0.00039375114],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0012760147,0.00016045752,0.00021401314,0.00019159667,0.0036768077,0.00023924813,0.0017025342,0.00028866995,0.00050834194],"category_scores_gemma":[0.00006298952,0.00013814885,0.00027483673,0.00088441937,0.0019374596,0.0017794427,0.00009278763,0.001041459,0.000021968961],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047856814,0.00057109783,0.74307483,0.00012352593,0.000115814015,0.0010583634,0.010414928,0.0000028460252,0.0068266,0.11105692,0.12447471,0.0018017822],"study_design_scores_gemma":[0.00046070895,0.00007635424,0.13209541,0.000011627443,0.00003499422,0.0000010016558,0.0025938568,0.00001563316,0.00435036,0.0024855584,0.85764647,0.00022801396],"about_ca_topic_score_codex":0.0030846638,"about_ca_topic_score_gemma":0.005903636,"teacher_disagreement_score":0.73317176,"about_ca_system_score_codex":0.00008114289,"about_ca_system_score_gemma":0.0010481343,"threshold_uncertainty_score":0.9976203},"labels":[],"label_agreement":null},{"id":"W7043862976","doi":"","title":"Types of School Bus Routes in Oklahoma","year":2016,"lang":"en","type":"article","venue":"SHAREOK (University of Oklahoma)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Work (physics); Data collection; Public transport; Quality (philosophy)","score_opus":0.024379627274007023,"score_gpt":0.2480102909131983,"score_spread":0.22363066363919126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7043862976","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9718956,0.00013919867,0.000098803146,0.001064642,0.0000741505,0.00013256863,0.00007395855,0.000035606383,0.02648547],"genre_scores_gemma":[0.9956273,0.00005790481,0.00022339562,0.000009410202,0.000032224485,1.5663198e-7,0.000004302783,0.0000043946998,0.0040409183],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991042,0.000059099526,0.00013636467,0.00021479909,0.00026877344,0.00021677166],"domain_scores_gemma":[0.9993399,0.000090606445,0.00013092707,0.00021050333,0.00012244037,0.000105641644],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002874901,0.00007840819,0.00022271517,0.00012908985,0.00013278112,0.000007329725,0.00047505158,0.00010113737,0.004169049],"category_scores_gemma":[0.00010410534,0.00007490836,0.00010407953,0.00036069792,0.00044461075,0.0005268593,0.00005340222,0.00006478309,0.000054841872],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007517874,0.00010759666,0.9841702,0.000032304142,0.000018631783,0.000016297552,0.0028916642,6.11426e-7,0.0012803749,0.0025188834,0.0007339246,0.00815433],"study_design_scores_gemma":[0.0006711285,0.00003411456,0.9875732,0.0001233188,0.000018343497,8.831415e-8,0.003089135,0.0000034294653,0.0004279607,0.0019323722,0.0060037845,0.00012313279],"about_ca_topic_score_codex":0.007430812,"about_ca_topic_score_gemma":0.026543604,"teacher_disagreement_score":0.023731688,"about_ca_system_score_codex":0.00008805411,"about_ca_system_score_gemma":0.00021825533,"threshold_uncertainty_score":0.99917877},"labels":[],"label_agreement":null},{"id":"W7043943724","doi":"","title":"Who cycles the most? A segmentation approach to determine cycling frequency in Montréal, Canada.","year":2014,"lang":"en","type":"other","venue":"eScholarship@McGill (McGill)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Segmentation; Cycling; Pattern recognition (psychology); Image segmentation; Noise (video)","score_opus":0.01916175965655221,"score_gpt":0.24748038990405788,"score_spread":0.22831863024750568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7043943724","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20134787,0.000705866,0.0000054988723,0.00018753944,0.0006379158,0.0016719192,0.0007033616,0.00023436724,0.79450566],"genre_scores_gemma":[0.9181544,0.00023258606,0.0014879123,0.0013041908,0.00029862512,0.00027430832,0.00014095816,0.00041041258,0.07769657],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9957873,0.00060719904,0.000724787,0.00097489206,0.0010648743,0.0008409371],"domain_scores_gemma":[0.9982005,0.00019769154,0.00041852778,0.0007219035,0.00009635665,0.00036504993],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0014805873,0.00053035346,0.00064307277,0.00026935586,0.0010954071,0.00012737267,0.0011601453,0.0004970187,0.00036773607],"category_scores_gemma":[0.00041788834,0.00045202923,0.00013909677,0.00090755103,0.0001770417,0.00033555392,0.000094815405,0.0008262126,0.00004823809],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032449578,0.0022609225,0.105487004,0.0020036942,0.0010576424,0.0004314908,0.0013588748,0.0009601187,0.00660688,0.12660494,0.020684626,0.73221934],"study_design_scores_gemma":[0.0011925988,0.000059713246,0.016564934,0.00078363746,0.00019484172,0.0000024295537,0.0016047452,0.000066616754,0.00083327695,0.007601154,0.96903193,0.0020641163],"about_ca_topic_score_codex":0.9048589,"about_ca_topic_score_gemma":0.99012357,"teacher_disagreement_score":0.94834733,"about_ca_system_score_codex":0.0011174929,"about_ca_system_score_gemma":0.00026966038,"threshold_uncertainty_score":0.9997932},"labels":[],"label_agreement":null},{"id":"W7043997646","doi":"","title":"Walk score® and Japanese adults' physically-active and sedentary behaviors","year":2018,"lang":"en","type":"article","venue":"Research Bank (Australian Catholic University)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Odds; Logistic regression; Odds ratio; Sedentary behavior; Sedentary lifestyle; Walk-in; Physical activity; Preferred walking speed","score_opus":0.056038824838372116,"score_gpt":0.35087606545133027,"score_spread":0.29483724061295813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7043997646","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9876946,0.000014701799,7.5117305e-7,0.0010825117,0.00005415334,0.00035583056,0.00004458583,0.000052998297,0.010699845],"genre_scores_gemma":[0.9860795,0.00009815538,0.000052011997,0.000018867093,0.0002485554,0.0000014215541,0.000011499888,0.000009831581,0.013480134],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99785525,0.0003225118,0.00010722321,0.0005151332,0.00055676413,0.0006431017],"domain_scores_gemma":[0.99884117,0.00009910665,0.000039013332,0.00023935943,0.0003146277,0.00046672518],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00050325267,0.00013695982,0.00017900571,0.00030984147,0.0011816426,0.000117008705,0.00039300285,0.00014246712,0.00031548095],"category_scores_gemma":[0.0000484377,0.00014534476,0.00005136507,0.0009211838,0.003514543,0.00075003784,0.00013550643,0.000400212,0.00003034433],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011187023,0.000814737,0.54855424,0.0001945285,0.00011120923,0.0008564329,0.39939305,1.8431047e-7,0.0060768574,0.0043767616,0.0014479503,0.037055317],"study_design_scores_gemma":[0.0012997696,0.00043687172,0.8260446,0.00013540724,0.00007330172,0.0000035006074,0.057682972,0.000004937836,0.0023095151,0.0002706392,0.11123872,0.0004997357],"about_ca_topic_score_codex":0.03125366,"about_ca_topic_score_gemma":0.011687396,"teacher_disagreement_score":0.3417101,"about_ca_system_score_codex":0.00017887443,"about_ca_system_score_gemma":0.0001978989,"threshold_uncertainty_score":0.9991973},"labels":[],"label_agreement":null},{"id":"W7045551686","doi":"","title":"From Bike Lanes to Highway Trucks, Assessing the Impact of Transportation Policies on Air Pollution Exposure at Local and Regional Scales","year":2020,"lang":"","type":"dissertation","venue":"TSpace","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Air quality index; Air pollution; Context (archaeology); Population; Data collection; Scale (ratio); Urban area; Air pollutants; Exposure assessment","score_opus":0.02852368857543734,"score_gpt":0.3717559227357953,"score_spread":0.3432322341603579,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7045551686","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99149776,0.0007986142,0.0002690309,0.0055557853,0.000329558,0.00061929907,0.0002905556,0.00006170038,0.00057770574],"genre_scores_gemma":[0.9968076,0.0001538142,0.00005915912,0.0002042822,0.00045776795,0.000018216419,0.0015134005,0.00003535653,0.00075043103],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99692017,0.0002975216,0.0006708133,0.00075259176,0.0009240462,0.0004348609],"domain_scores_gemma":[0.9982427,0.00031359974,0.000641799,0.0003023757,0.00019485959,0.00030468157],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00033445857,0.00051379594,0.0006893111,0.00013935889,0.00093254674,0.00013073339,0.00040549875,0.00047703343,0.00022005364],"category_scores_gemma":[0.00004525915,0.0003717392,0.00040224887,0.00074982713,0.00068391854,0.0003385105,0.000011010554,0.00038865948,0.000011933687],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018727301,0.0003265551,0.3770142,0.00030209954,0.0003685827,0.000012447065,0.5974011,0.0022425482,0.01079725,0.00070002663,0.0019453983,0.0070170932],"study_design_scores_gemma":[0.00037313424,0.00029374083,0.9176346,0.00032448108,0.00017573049,1.7098492e-7,0.077371314,0.00007475621,0.0024295517,0.00034520257,0.00060830935,0.00036903357],"about_ca_topic_score_codex":0.07363257,"about_ca_topic_score_gemma":0.037452873,"teacher_disagreement_score":0.5406204,"about_ca_system_score_codex":0.00025490258,"about_ca_system_score_gemma":0.0004212508,"threshold_uncertainty_score":0.99987346},"labels":[],"label_agreement":null},{"id":"W7066129863","doi":"","title":"Garbage collection: Choosing a truck with an articulated arm","year":2009,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut de recherche Robert-Sauvé en santé et en sécurité du travail","funders":"","keywords":"Truck; Garbage; Work (physics); Articulated vehicle; Frame (networking)","score_opus":0.018524990704498038,"score_gpt":0.2894805753330265,"score_spread":0.2709555846285285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7066129863","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8740363,0.000014514869,0.0003787003,0.00085221377,0.00004493472,0.00013691964,2.914068e-7,0.00018954641,0.12434655],"genre_scores_gemma":[0.9950163,0.0000020675284,0.0008686108,0.00029929914,0.000101412195,0.0000018432631,0.0000024954059,0.0000032224991,0.0037047982],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99925107,0.000042270516,0.00010990375,0.00018568028,0.00020332982,0.00020773217],"domain_scores_gemma":[0.9996599,0.000010442634,0.000029681758,0.00011830939,0.000056987494,0.00012468663],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00019901022,0.00006541678,0.00008859448,0.000029358429,0.00047159407,0.0001021461,0.000091115326,0.00004925612,0.0010296167],"category_scores_gemma":[0.000009294671,0.000049145303,0.000026121332,0.00048625213,0.00009239175,0.0003865954,0.0000014482151,0.00006712056,0.000008936632],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046622494,0.0015237714,0.9372576,0.000009710129,0.00004137154,0.000065296954,0.0262005,0.000053434,0.0010670075,0.014275668,0.0013911924,0.017648226],"study_design_scores_gemma":[0.000559623,0.00037116575,0.9875423,0.000013750749,0.00002711529,8.653429e-7,0.0019146984,0.00025360426,0.0010997235,0.0047118464,0.0032743192,0.00023102798],"about_ca_topic_score_codex":0.0012641727,"about_ca_topic_score_gemma":0.008789184,"teacher_disagreement_score":0.12097992,"about_ca_system_score_codex":0.000045521698,"about_ca_system_score_gemma":0.00009542821,"threshold_uncertainty_score":0.9998836},"labels":[],"label_agreement":null},{"id":"W7067314795","doi":"","title":"\\n Great North\\n . \\n Le Grand Nord, Canada [Québec], 2000, 40 minutes","year":2001,"lang":"en","type":"article","venue":"Érudit (Université de Montréal)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nucleofection; Gestational period; TSG101; Dysgeusia; Liquation; Diafiltration; Emperipolesis; Triacetin; Demotion","score_opus":0.007706246464119463,"score_gpt":0.17279272499606363,"score_spread":0.16508647853194416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7067314795","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94672364,0.008499902,0.000034807053,0.022963127,0.00016285217,0.00016993855,0.00004180912,0.00009044902,0.021313505],"genre_scores_gemma":[0.8206107,0.00071877404,0.000057360838,0.00024352898,0.00013192985,0.0000025400682,0.00002308432,0.00001253921,0.17819956],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99859744,0.00006008135,0.00014259708,0.00031814494,0.00037396746,0.0005077906],"domain_scores_gemma":[0.99918747,0.00006976947,0.000085093736,0.0002552487,0.00009078614,0.0003116476],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00013092591,0.00016163112,0.00020969294,0.00005859275,0.0014940363,0.000024609652,0.00042570863,0.00009316061,0.00053347374],"category_scores_gemma":[0.000022276621,0.0001769241,0.000104363346,0.00045652423,0.00018169855,0.0003084976,0.000048058202,0.00013037627,0.000026856647],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000117694064,0.000052216845,0.81056845,0.000008166137,0.000042245458,0.0013131842,0.0015462314,0.000026546817,0.000017058903,0.00022605427,0.17597891,0.010103247],"study_design_scores_gemma":[0.00045109927,0.000011967888,0.16359976,0.0000060039633,0.00003899642,0.0000063630414,0.00080508884,0.000014955617,0.000021180591,0.00011252863,0.8347373,0.0001947605],"about_ca_topic_score_codex":0.997592,"about_ca_topic_score_gemma":0.9999932,"teacher_disagreement_score":0.6587584,"about_ca_system_score_codex":0.005422914,"about_ca_system_score_gemma":0.0014053184,"threshold_uncertainty_score":0.99980587},"labels":[],"label_agreement":null},{"id":"W7067348947","doi":"","title":"MetroScope Technical Documentation Manual: An Integrated Transportation and Land Use Model Developed for Forecasting and Policy Analysis in the Portland/Vancouver Metropolitan Area","year":2001,"lang":"en","type":"article","venue":"PDXScholar  (Portland State University)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Documentation; Land use; Policy analysis; Land-use planning; Public policy; Qualitative analysis; Land information system; Regional planning","score_opus":0.04690397945376394,"score_gpt":0.3108995380817416,"score_spread":0.26399555862797763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7067348947","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9742373,0.000019272675,0.024236696,0.00014547768,0.000018298157,0.00044374407,0.00013695235,0.000040729352,0.000721535],"genre_scores_gemma":[0.9954912,0.00024386839,0.0030661295,0.00006129566,0.000017022396,0.0000036783624,0.0003326247,0.000008826482,0.00077536574],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998667,0.00014109143,0.00026857294,0.00036969746,0.0002448252,0.00030878276],"domain_scores_gemma":[0.9993144,0.00012195901,0.00013711107,0.00013610868,0.00014581272,0.00014457312],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008838697,0.00015468737,0.00025442464,0.0006435898,0.00050433923,0.00021237721,0.00017763455,0.00009585607,0.000013110559],"category_scores_gemma":[0.0000864339,0.00012578523,0.00006632074,0.0017237704,0.00015540505,0.0019411035,0.0000083885725,0.00017800924,9.2087696e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021500244,0.000060908154,0.9936493,0.0000101212445,0.00006163021,0.000041546693,0.0037804611,0.0003123462,0.000018593699,0.0006275868,0.000019716526,0.0012027597],"study_design_scores_gemma":[0.0013683677,0.00007978768,0.9731446,0.000014916711,0.0004717797,8.316542e-7,0.011694019,0.0055816313,0.0000107201795,0.0015934957,0.005753022,0.0002868337],"about_ca_topic_score_codex":0.020637227,"about_ca_topic_score_gemma":0.51582044,"teacher_disagreement_score":0.49518323,"about_ca_system_score_codex":0.00020332765,"about_ca_system_score_gemma":0.00015807997,"threshold_uncertainty_score":0.9858844},"labels":[],"label_agreement":null},{"id":"W7070805440","doi":"","title":"Projet de cohabitation sur les rues piétonnes à Montréal : expériences piétonnes sur l’avenue du Mont-Royal","year":2024,"lang":"fr","type":"dissertation","venue":"EspaceINRS Institutional Digital Repository (Institut National de la Recherche Scientifique)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Urban environment; Cohabitation","score_opus":0.06150615309283852,"score_gpt":0.3186522414564077,"score_spread":0.25714608836356917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7070805440","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8231751,0.008525914,0.0012517105,0.0016600469,0.0055985977,0.0012157781,0.0005581994,0.00038900663,0.15762566],"genre_scores_gemma":[0.91920793,0.00046881332,0.002133882,0.000088121844,0.0018155578,0.00045737362,0.0013570165,0.00007241725,0.074398905],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.990432,0.0019857981,0.0014312365,0.0018549806,0.0031674379,0.0011285098],"domain_scores_gemma":[0.9920839,0.003339567,0.00073084916,0.00039261844,0.0028145637,0.00063847087],"candidate_categories":["metaresearch","metaepi_narrow","sts","scholarly_communication","research_integrity"],"consensus_categories":["sts"],"category_scores_codex":[0.0072761397,0.0009834467,0.00076295855,0.0006569408,0.003108963,0.003268709,0.001274474,0.0021263475,0.0000955036],"category_scores_gemma":[0.011752372,0.0010061791,0.0008450267,0.0019370075,0.004537114,0.0037959758,0.00012826062,0.002088446,0.0001544176],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.0011673772,0.00393692,0.33602682,0.004213946,0.0011064488,0.0012483216,0.08304806,0.027341947,0.008646135,0.49269754,0.018180087,0.022386396],"study_design_scores_gemma":[0.0021790154,0.00025873026,0.48238394,0.007423645,0.00082302775,0.00024772802,0.014749056,0.021765979,0.0094325375,0.10053439,0.35620347,0.003998489],"about_ca_topic_score_codex":0.010820366,"about_ca_topic_score_gemma":0.018300498,"teacher_disagreement_score":0.39216316,"about_ca_system_score_codex":0.0052259127,"about_ca_system_score_gemma":0.016147424,"threshold_uncertainty_score":0.999613},"labels":[],"label_agreement":null},{"id":"W7071153934","doi":"","title":"School travel planning: A Canadian pilot evaluation","year":2010,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Data collection; Work (physics); Government (linguistics); Quality (philosophy)","score_opus":0.06770107951690632,"score_gpt":0.35979431634862497,"score_spread":0.2920932368317186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7071153934","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.60479647,0.000008884501,0.000025457848,0.00089431216,0.00026757206,0.00015348663,0.0000019679273,0.000024702986,0.3938271],"genre_scores_gemma":[0.99605787,3.884583e-7,0.00017551234,0.00027167256,0.000247579,0.000011213987,0.000007685462,0.0000033552626,0.003224711],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99921376,0.000035553596,0.0000929825,0.00013817343,0.00029248683,0.00022705038],"domain_scores_gemma":[0.9993776,0.000019004385,0.000018917466,0.00011458933,0.00009870197,0.00037119005],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010392033,0.000046251265,0.00005234142,0.00005392145,0.0003675266,0.00006950774,0.00016344797,0.00005885944,0.011885156],"category_scores_gemma":[0.00018139515,0.000041784486,0.000021096777,0.00014397202,0.00009116343,0.00020639633,0.0000020616021,0.00015023381,0.00011167403],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000050516715,0.000028673227,0.9839311,0.0000014900102,0.000004088296,0.0000017251666,0.0022681653,0.0000011572789,0.00076437875,0.007098348,0.0032255726,0.0026702336],"study_design_scores_gemma":[0.00015493056,0.000012541813,0.979239,0.0000019683418,0.000010055021,5.2214975e-8,0.00089670776,0.00008674617,0.000103836,0.0035787153,0.015830982,0.00008445603],"about_ca_topic_score_codex":0.6906246,"about_ca_topic_score_gemma":0.9772309,"teacher_disagreement_score":0.3912614,"about_ca_system_score_codex":0.00006826863,"about_ca_system_score_gemma":0.0014235536,"threshold_uncertainty_score":0.98901814},"labels":[],"label_agreement":null},{"id":"W7071296382","doi":"","title":"School travel planning: A Canadian pilot evaluation","year":2015,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"York University; University of Toronto","funders":"","keywords":"Action plan; Intervention (counseling); Plan (archaeology); Pilot program; Action (physics); Program evaluation; Data collection; Travel time","score_opus":0.1921593616751466,"score_gpt":0.38810849541206743,"score_spread":0.19594913373692083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7071296382","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44485298,0.000063349544,0.00007806679,0.0011192344,0.00017158146,0.00018000285,0.000001935991,0.000029627816,0.5535032],"genre_scores_gemma":[0.99508023,4.6276537e-7,0.00011809381,0.00030694852,0.00017591585,0.000009958759,0.00000911039,0.0000030816843,0.004296207],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990893,0.00007177862,0.000094416595,0.00012718079,0.00039955584,0.00021774498],"domain_scores_gemma":[0.99908143,0.000011991933,0.000018609087,0.00009127961,0.00016429546,0.00063239195],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014398054,0.00004461054,0.000056811456,0.0000522469,0.00019327129,0.00006056214,0.00013878265,0.000039678038,0.0020136451],"category_scores_gemma":[0.00022756349,0.00004024546,0.000016521877,0.0001693604,0.00006267026,0.00023455478,0.0000023319822,0.00005885555,0.00014009167],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012145901,0.000031277505,0.9689071,0.0000013844898,0.000005506979,0.000003079069,0.0068484168,0.000014521836,0.000012488504,0.0031698602,0.019427864,0.0015663144],"study_design_scores_gemma":[0.0005397045,0.00005458915,0.94656825,0.0000066462007,0.000021651602,8.512806e-8,0.009021745,0.000288632,0.0000369086,0.010262504,0.03303934,0.00015993965],"about_ca_topic_score_codex":0.74888563,"about_ca_topic_score_gemma":0.90088403,"teacher_disagreement_score":0.5502272,"about_ca_system_score_codex":0.00029687487,"about_ca_system_score_gemma":0.0027747937,"threshold_uncertainty_score":0.9988986},"labels":[],"label_agreement":null},{"id":"W7071657638","doi":"","title":"Sustainable development and transportation of the world metropolises","year":2021,"lang":"en","type":"article","venue":"Faculty of Geography (University of Belgrade)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sustainable development; Developing country; Empirical research; Sustainable transport; Urban planning; Sustainability; Empirical evidence","score_opus":0.014018382022968626,"score_gpt":0.2419194676276232,"score_spread":0.22790108560465458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7071657638","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967992,0.00025619607,0.00007418279,0.0005606438,0.000023910048,0.00010825843,0.00005862083,0.0000098090595,0.0021091888],"genre_scores_gemma":[0.996061,0.000029991073,0.0016081339,0.000006449119,0.0000042066695,1.1490292e-7,0.000030170302,0.0000019325385,0.0022579788],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992403,0.00004591351,0.00013292646,0.00013874588,0.00029622915,0.00014592324],"domain_scores_gemma":[0.9993768,0.00002792825,0.00016392229,0.00010618718,0.0002756817,0.000049530976],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016919935,0.00006032084,0.0001751508,0.00012256665,0.00037405887,0.0000055615437,0.0002024776,0.000045982226,0.00011297584],"category_scores_gemma":[0.000009216253,0.000059525697,0.00015245746,0.0009857402,0.00073482306,0.00018515199,0.000018275116,0.00005901143,1.2302262e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016160328,0.00009001404,0.9756142,0.00012158989,0.00005998896,0.0000037887364,0.016243542,0.0000017825457,0.00009268888,0.0066434713,0.00011589324,0.0009968656],"study_design_scores_gemma":[0.00022946612,0.000007984208,0.92252743,0.000028056316,0.000059315298,2.3486617e-8,0.05970539,3.4556615e-7,0.0028194224,0.0005550075,0.014008281,0.00005929397],"about_ca_topic_score_codex":0.015937235,"about_ca_topic_score_gemma":0.05605694,"teacher_disagreement_score":0.053086802,"about_ca_system_score_codex":0.000016380565,"about_ca_system_score_gemma":0.00017845794,"threshold_uncertainty_score":0.9906157},"labels":[],"label_agreement":null},{"id":"W7071665607","doi":"","title":"Towards a sustainable transportation system in downtown Winnipeg","year":2003,"lang":"en","type":"dissertation","venue":"Mspace (University of Manitoba)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Downtown; Sustainability; Sustainable transport; Sustainable development; Public transport","score_opus":0.011239159241718498,"score_gpt":0.22916549153727153,"score_spread":0.21792633229555303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7071665607","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87479144,0.00024977588,0.000071650895,0.0001678559,0.0002959028,0.0005385128,0.00002658029,0.00007644884,0.12378186],"genre_scores_gemma":[0.97588956,0.00007671084,0.00016547076,0.000005342935,0.000037324244,0.0000011602947,0.00033377492,0.000015465339,0.023475166],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983416,0.00013931817,0.00019054192,0.0003875818,0.0005312998,0.00040962663],"domain_scores_gemma":[0.999064,0.000023681432,0.00029517084,0.00021193761,0.00029970077,0.000105479274],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005500792,0.00019532337,0.00042237804,0.00030849417,0.00042800218,0.000033731038,0.00043531734,0.00044434346,0.00008899738],"category_scores_gemma":[0.000018518636,0.00026707115,0.00018269634,0.0007036025,0.00014219272,0.0005067645,0.0000042403176,0.00027689463,0.000012984228],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006764238,0.00044486506,0.8790567,0.0049884995,0.00013789666,0.0007879618,0.057569187,0.000050839055,0.00008972878,0.050743047,0.0024350225,0.0030198635],"study_design_scores_gemma":[0.0003416266,0.000019341876,0.5787323,0.00015475966,0.00008204283,4.7744606e-8,0.4105866,0.0000041969265,0.000028415696,0.00015601718,0.0097007565,0.00019388749],"about_ca_topic_score_codex":0.22133692,"about_ca_topic_score_gemma":0.9733222,"teacher_disagreement_score":0.7519853,"about_ca_system_score_codex":0.00065810647,"about_ca_system_score_gemma":0.00074133964,"threshold_uncertainty_score":0.9999781},"labels":[],"label_agreement":null},{"id":"W7072113993","doi":"","title":"Understanding the relationships between regional accessibility travel behaviour and home values","year":2010,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Neighbourhood (mathematics); Travel behavior; Land use; Sample (material); Travel time; Vehicle miles of travel; Property value; Car ownership","score_opus":0.1312887474211768,"score_gpt":0.3092197249275744,"score_spread":0.17793097750639758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7072113993","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9783706,0.00005175243,0.000010227349,0.0005777408,0.0004493318,0.0005104107,0.00025939458,0.00018556984,0.019584937],"genre_scores_gemma":[0.99868417,0.000027502745,0.00030979866,0.00010551908,0.00016860363,0.000026889946,0.0000333829,0.000037175745,0.00060695567],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9962717,0.0007728979,0.0006072847,0.0008139303,0.0008833925,0.000650747],"domain_scores_gemma":[0.99741375,0.0010662978,0.00027416594,0.0006278922,0.00017297233,0.00044493176],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0054127285,0.00031577467,0.0003570955,0.00012645905,0.0068250787,0.00027946162,0.0008622947,0.0004899424,0.00025107604],"category_scores_gemma":[0.0007889532,0.00025793893,0.00019276275,0.0006259293,0.0012161423,0.0017448583,0.00011873561,0.0020349568,0.000024512916],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024071258,0.00008610361,0.7879318,0.000018000082,0.00003553366,0.0000052014807,0.00022825212,4.290426e-7,0.0009519898,0.20779121,0.0000052137198,0.002922211],"study_design_scores_gemma":[0.00029582687,0.000017070945,0.7072991,0.000019190515,0.00008853564,0.0000012992251,0.0018518636,0.0000027564236,0.00035378285,0.28878304,0.0010000132,0.00028749387],"about_ca_topic_score_codex":0.0011639706,"about_ca_topic_score_gemma":0.009642781,"teacher_disagreement_score":0.080991834,"about_ca_system_score_codex":0.00037123327,"about_ca_system_score_gemma":0.00009688473,"threshold_uncertainty_score":0.9999873},"labels":[],"label_agreement":null},{"id":"W7072180789","doi":"","title":"Triggers, transitions, and trip decisions from 1976 to 2019: why utility cyclists in Cape Town choose to ‘ditch their cars’, and why bicycle advocacy says they should","year":2025,"lang":"en","type":"dissertation","venue":"Open University of Cape Town (University of Cape Town)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cycling; Behaviour change; Travel survey; Public transport; Context (archaeology); Quarter (Canadian coin)","score_opus":0.030961138547539662,"score_gpt":0.2810944362259784,"score_spread":0.2501332976784387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7072180789","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9440748,0.00056861795,0.0002642486,0.0040057963,0.00026257584,0.0019205752,0.001791042,0.00005244298,0.047059868],"genre_scores_gemma":[0.97969806,0.0011598256,0.0009502293,0.00023999513,0.000038294846,8.9572177e-7,0.0009075993,0.00002072118,0.016984379],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9965935,0.00038213827,0.00045836708,0.0012675188,0.0007245311,0.0005739415],"domain_scores_gemma":[0.9972485,0.00047245805,0.00038225323,0.0007622407,0.00048162942,0.00065296516],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008484321,0.00051319035,0.0013458915,0.0007695712,0.001224374,0.00013863464,0.0020881228,0.000720697,0.0035020765],"category_scores_gemma":[0.00014082094,0.0006418765,0.0003434635,0.001166672,0.00043467266,0.0013640325,0.00035389618,0.00058696367,0.0000074434183],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.014880035,0.0024074388,0.053297978,0.00040867846,0.0011590695,0.00040502916,0.54066414,0.00013203901,0.0017652123,0.0008982359,0.10476229,0.27921987],"study_design_scores_gemma":[0.0044145663,0.00019249892,0.57385767,0.0010093054,0.0008278359,6.061112e-7,0.27486512,0.00007954258,0.00012894456,0.0021018717,0.1413382,0.00118385],"about_ca_topic_score_codex":0.32657048,"about_ca_topic_score_gemma":0.60828084,"teacher_disagreement_score":0.52055967,"about_ca_system_score_codex":0.00029362316,"about_ca_system_score_gemma":0.0013199063,"threshold_uncertainty_score":0.9996033},"labels":[],"label_agreement":null},{"id":"W7083866002","doi":"","title":"2025 WINGS #06-25 Unite To End FGM! Millions of Girls Are Still at Risk 28_54_128kbps","year":2025,"lang":"en","type":"other","venue":"Internet Archive (Internet Archive)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Worry; Population; Human rights; Female circumcision; Clitoris; Social issues","score_opus":0.016075847219437504,"score_gpt":0.2776008324430523,"score_spread":0.2615249852236148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7083866002","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026662683,0.0008190279,0.006658495,0.00045038242,0.0013498127,0.001728701,0.008736861,0.0004007191,0.9531933],"genre_scores_gemma":[0.21079384,0.0004035546,0.0011052325,0.00033854065,0.00056685775,0.00008048865,0.0005522361,0.00023789464,0.78592134],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9941204,0.0008808328,0.0011985097,0.0016449296,0.0009784035,0.0011769105],"domain_scores_gemma":[0.99605644,0.0008198595,0.0011382658,0.0011447729,0.00014734577,0.00069330126],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00061700575,0.0009440265,0.0014123967,0.0014458946,0.00015607745,0.00014230539,0.0027518475,0.00040477555,0.019849306],"category_scores_gemma":[0.00046510607,0.00092155783,0.0008745149,0.0005879679,0.0016652117,0.00014134895,0.001109283,0.0011317367,0.0014200978],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022320703,0.0002367227,0.1305358,0.0002718916,0.00053926936,0.000058903104,0.013991813,0.00000647594,0.00006604469,0.0027163948,0.8507878,0.00056564785],"study_design_scores_gemma":[0.00061671913,0.00014565724,0.04437369,0.0030924678,0.00030467112,9.380189e-7,0.00040039417,0.000050710685,0.00023320371,0.0028082517,0.9471348,0.00083849515],"about_ca_topic_score_codex":0.2279417,"about_ca_topic_score_gemma":0.54420245,"teacher_disagreement_score":0.31626073,"about_ca_system_score_codex":0.00020845694,"about_ca_system_score_gemma":0.00043272733,"threshold_uncertainty_score":0.9993574},"labels":[],"label_agreement":null},{"id":"W7084034291","doi":"10.6084/m9.figshare.30039081.v1","title":"Additional file 2 of The metabolic signature of salt intake: a cross-sectional analysis from the SCAPIS-study","year":2025,"lang":"en","type":"article","venue":"Figshare","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Signature (topology); Salt (chemistry); Identification (biology); Statistical analysis","score_opus":0.023683739903855687,"score_gpt":0.30498429562612167,"score_spread":0.281300555722266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7084034291","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019584604,0.00020091784,1.8844798e-7,0.00006270777,0.00004421482,0.00021793201,0.97571236,0.00001398852,0.0041630846],"genre_scores_gemma":[0.6667279,3.0193627e-7,0.000010682864,0.00007734287,0.000098467084,0.00014910963,0.33180356,0.0000020687182,0.001130555],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9988825,0.00013647121,0.000241878,0.00019463905,0.00043424728,0.00011031972],"domain_scores_gemma":[0.99771327,0.0015387635,0.00018562186,0.00026886648,0.0002704116,0.000023076707],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009805491,0.00007400731,0.00017657535,0.00004539395,0.00037102663,0.000046578,0.0006274199,0.00009019161,0.9872825],"category_scores_gemma":[0.0019476726,0.00004445826,0.00030505078,0.0014969447,0.00009330662,0.00010279468,0.00006406358,0.0001776365,0.000039713977],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006473632,0.00008687637,0.16405863,0.0000048252064,0.00024115457,1.7080855e-7,0.0006132736,0.000011800034,0.0000015880676,0.000022576101,0.83482176,0.00013086504],"study_design_scores_gemma":[0.000056372897,0.0000026476162,0.7983503,0.000064535365,0.00006526479,4.3048463e-9,0.00029886983,0.000009320691,0.000023528517,0.00026947467,0.20082512,0.000034579167],"about_ca_topic_score_codex":0.0009603743,"about_ca_topic_score_gemma":0.009578044,"teacher_disagreement_score":0.9872428,"about_ca_system_score_codex":0.000018316308,"about_ca_system_score_gemma":0.00037236168,"threshold_uncertainty_score":0.5344773},"labels":[],"label_agreement":null},{"id":"W7084307169","doi":"","title":"L'importance de la formation en interprétation dramatique dans les écoles de chant postsecondaires et les exigences de la scène opératique professionnelle au Québec","year":2025,"lang":"fr","type":"other","venue":"Archipelago (University of Quebec in Montreal)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Clan; Order (exchange); Jungle","score_opus":0.008177060835854377,"score_gpt":0.2615484930515457,"score_spread":0.2533714322156913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7084307169","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8785479,0.00042648954,0.02378656,0.0026704206,0.000060318678,0.0005043821,0.00006354231,0.000051832812,0.09388857],"genre_scores_gemma":[0.94587296,0.00075681554,0.0028569754,0.00007699144,0.00005238396,0.0000070641677,0.00006475232,0.00002478689,0.050287258],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99566984,0.0029070927,0.00037820285,0.00038503922,0.00022769939,0.00043212454],"domain_scores_gemma":[0.9976563,0.0013694469,0.00051977055,0.00022867406,0.000070302005,0.00015550027],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0018236962,0.00029412966,0.0004522374,0.00030923882,0.0005759538,0.000049668957,0.0007095004,0.0006620755,0.0006401045],"category_scores_gemma":[0.00023280481,0.00033078314,0.00018919274,0.00032379205,0.0013301634,0.00062114524,0.00009837988,0.0006849037,0.0000046822356],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001111484,0.00024167253,0.33647233,0.00049262727,0.000047520392,0.000042996326,0.5597505,0.00017652084,0.000213553,0.022349613,0.00016927284,0.07993224],"study_design_scores_gemma":[0.00035862546,0.000039430048,0.6465137,0.001417937,0.000059700335,0.0000014035772,0.32839036,0.0015652868,0.000120280885,0.02076014,0.00051969587,0.00025345068],"about_ca_topic_score_codex":0.9747393,"about_ca_topic_score_gemma":0.9996694,"teacher_disagreement_score":0.31004134,"about_ca_system_score_codex":0.001043168,"about_ca_system_score_gemma":0.005713721,"threshold_uncertainty_score":0.99992293},"labels":[],"label_agreement":null},{"id":"W7084500299","doi":"10.1007/978-3-032-00325-6_18","title":"Addressing Gaming-Related Public Health Concerns and Challenges","year":2025,"lang":"en","type":"book-chapter","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Public health; Entertainment; Raising (metalworking); Social determinants of health; Public health policy; Health policy; Global health","score_opus":0.27553982645734904,"score_gpt":0.3755821489755365,"score_spread":0.10004232251818745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7084500299","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00008642362,0.04236581,0.000020468124,0.01950033,0.00030646144,0.0002996786,0.000020384527,0.0002030062,0.93719745],"genre_scores_gemma":[0.07665537,0.026913716,0.000064095795,0.00045864226,0.00026481677,0.0000044064996,0.00003778057,0.000020182153,0.895581],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983647,0.00005901833,0.00037486944,0.0004939741,0.0003281934,0.0003792561],"domain_scores_gemma":[0.999097,0.000121200064,0.00021641578,0.00021955605,0.000099668156,0.0002461648],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008482382,0.00021872886,0.0004276243,0.00012113251,0.00056305423,0.00014026431,0.00024519232,0.00042311908,0.0019549108],"category_scores_gemma":[0.00003801855,0.00020330335,0.00009392418,0.00004214974,0.00058558746,0.0002151252,0.00004746636,0.00034959966,0.000013021353],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000020966427,0.000015102461,0.00086934125,0.00022139722,0.000061013823,0.000004873018,0.0054334346,1.46334465e-8,9.5239784e-8,0.7843837,0.0022393411,0.20676959],"study_design_scores_gemma":[0.00017893667,0.000021133555,0.0015224419,0.00036641015,0.0000236624,1.0910707e-7,0.0009447101,0.000002792622,2.998398e-7,0.023562731,0.97309935,0.00027743523],"about_ca_topic_score_codex":0.0012768259,"about_ca_topic_score_gemma":0.014452572,"teacher_disagreement_score":0.97086,"about_ca_system_score_codex":0.00014098785,"about_ca_system_score_gemma":0.0010004414,"threshold_uncertainty_score":0.99895746},"labels":[],"label_agreement":null},{"id":"W7092190762","doi":"10.1016/j.jtrangeo.2025.104434","title":"Built environment's main and moderating associations with travel mode choice across trip purposes","year":2025,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"Social Sciences and Humanities Research Council; Social Sciences and Humanities Research Council of Canada; McGill University","keywords":"Mode choice; Travel behavior; Mode (computer interface); Poison control; Public transport; Travel survey","score_opus":0.014157417320153964,"score_gpt":0.29743343096790215,"score_spread":0.2832760136477482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7092190762","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.988047,0.00070630544,0.008301853,0.0010729041,0.0001086606,0.00020418144,0.00010253826,0.00001747655,0.0014390568],"genre_scores_gemma":[0.9977138,0.00033236403,0.0014701132,0.00013496912,0.000110645466,0.000005579849,0.00000855988,0.000009058894,0.00021487771],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99826896,0.000071647475,0.00056202494,0.00021033184,0.0005253593,0.00036166928],"domain_scores_gemma":[0.9991563,0.00012694583,0.00033591,0.00012822342,0.00009813336,0.00015447996],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091469474,0.00015831634,0.0003633292,0.00016891974,0.0007540828,0.00009797981,0.0002599049,0.00012677969,0.000035852703],"category_scores_gemma":[0.000022299178,0.00013172488,0.00023711284,0.00042920586,0.00036068234,0.0006059086,0.000004971306,0.00033030246,2.199984e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000062218634,0.00016063104,0.99377745,0.000021428012,0.0001574804,0.000015385283,0.003617086,0.00022685748,0.00016961126,0.00015321215,0.000029841667,0.0016087791],"study_design_scores_gemma":[0.0008965705,0.00006014393,0.99339235,0.00006497466,0.00018320455,9.540004e-7,0.001630959,0.00002298446,0.0001264316,0.0015998213,0.0018768337,0.00014479921],"about_ca_topic_score_codex":0.0023603803,"about_ca_topic_score_gemma":0.010700473,"teacher_disagreement_score":0.009666809,"about_ca_system_score_codex":0.000047966347,"about_ca_system_score_gemma":0.00017864125,"threshold_uncertainty_score":0.59711146},"labels":[],"label_agreement":null},{"id":"W7093559994","doi":"","title":"Association between activity space exposure to food establishments and individual risk of overweight","year":2012,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Overweight; Residence; Multilevel model; Neighbourhood (mathematics); Exposure assessment; Variance (accounting); Survey data collection; Association (psychology)","score_opus":0.03228556721121864,"score_gpt":0.28557459098070737,"score_spread":0.2532890237694887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7093559994","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9921734,0.000047831025,0.00016401081,0.00036943177,0.00012023517,0.00019026377,0.00010744107,0.000027767433,0.0067996583],"genre_scores_gemma":[0.9986954,0.000011227235,0.00031095205,0.000019315275,0.00021912032,0.000003467163,0.000004611122,0.0000036957117,0.0007322462],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989003,0.00013854528,0.00011987998,0.00012883973,0.000446275,0.00026618078],"domain_scores_gemma":[0.9993538,0.0001847934,0.00014680349,0.00009225216,0.000051752802,0.00017057588],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013327309,0.00006725795,0.00014528152,0.00004025971,0.00017841575,0.000044241442,0.00010986533,0.00011070717,0.00014439852],"category_scores_gemma":[0.00020800577,0.000059839913,0.000036233447,0.00021952127,0.00003838448,0.0007508357,0.000031545107,0.00009152517,0.000004017192],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000045319407,0.00006491011,0.9898195,0.0000047470476,0.00006327086,1.750889e-8,0.0066727265,6.058293e-8,0.00002699745,0.00016709737,0.00044226428,0.0027338502],"study_design_scores_gemma":[0.00014393173,0.00005571357,0.9944481,0.0000034424697,0.00008229119,2.6576428e-9,0.00052272197,8.970718e-8,0.0015265703,0.00024077205,0.002901623,0.00007474242],"about_ca_topic_score_codex":0.0028240394,"about_ca_topic_score_gemma":0.0034164374,"teacher_disagreement_score":0.0065220045,"about_ca_system_score_codex":0.000070762064,"about_ca_system_score_gemma":0.000034144865,"threshold_uncertainty_score":0.42691216},"labels":[],"label_agreement":null},{"id":"W7093633862","doi":"","title":"Treasure Valley Transportation Habits & the Impact of the COVID-19 Pandemic 2022","year":2022,"lang":"","type":"article","venue":"Scholar Works  (Boise State University)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Treasure; Pandemic; Quarter (Canadian coin); Margin (machine learning); Sample (material); Coronavirus disease 2019 (COVID-19)","score_opus":0.028067096023928602,"score_gpt":0.2734859107104828,"score_spread":0.2454188146865542,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7093633862","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9920476,0.0012157392,0.00016745977,0.0013061683,0.000593688,0.0011018793,0.0011390217,0.00007295422,0.0023554773],"genre_scores_gemma":[0.9921072,0.0010070358,0.000007829547,0.00016774214,0.000057260742,0.0000036804274,0.00006460875,0.000025276124,0.00655938],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99398243,0.0027482223,0.0005281873,0.00072890724,0.0013042307,0.0007080306],"domain_scores_gemma":[0.997436,0.00033938227,0.0007173031,0.0008074477,0.00023580034,0.00046408645],"candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0030523452,0.00038599398,0.00044709523,0.00026326606,0.007014578,0.00014511545,0.002427207,0.00018589379,0.0040183924],"category_scores_gemma":[0.00016646614,0.0002864741,0.0010969219,0.004960645,0.0011507043,0.0012640476,0.00014441095,0.0024269954,0.000005832313],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000865763,0.00036548867,0.93697345,0.00003537353,0.0003025634,0.000054137126,0.037406743,0.01986462,0.00015317365,0.00030877223,0.0010118384,0.0026580552],"study_design_scores_gemma":[0.002469927,0.0002510933,0.88823724,0.000059171125,0.000619359,0.0000020787973,0.03642385,0.00012548006,0.000015965945,0.0021417092,0.06905016,0.00060398254],"about_ca_topic_score_codex":0.015108195,"about_ca_topic_score_gemma":0.019869853,"teacher_disagreement_score":0.06803833,"about_ca_system_score_codex":0.0017516462,"about_ca_system_score_gemma":0.0030739668,"threshold_uncertainty_score":0.99995875},"labels":[],"label_agreement":null},{"id":"W7094373362","doi":"","title":"Review of <i> Who Are Canada's Aboriginal Peoples? Recognition, Definition, and Jurisdiction </i>Edited by Paul L. A. H. Chartrand","year":2004,"lang":"","type":"article","venue":"Lincoln (University of Nebraska)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Indigenous; Jurisdiction; Common law; Constitutional law; Legislation","score_opus":0.010955890919138471,"score_gpt":0.22152420520386992,"score_spread":0.21056831428473144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7094373362","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9402769,0.03979516,0.0003463124,0.011691174,0.00047762512,0.0008285274,0.003470437,0.000038672817,0.0030751547],"genre_scores_gemma":[0.8086524,0.18961908,0.00027932186,0.00058423594,0.00015845576,0.0000010509468,0.00035205344,0.000013803149,0.0003396139],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977245,0.0001674452,0.00049581117,0.00055093947,0.00069889135,0.0003624658],"domain_scores_gemma":[0.99762404,0.00012724556,0.00089561916,0.00024140275,0.00078885246,0.00032286375],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005200433,0.0002608889,0.00075836934,0.00014081871,0.0007562716,0.000022236443,0.00033552884,0.00024109898,0.0008078037],"category_scores_gemma":[0.000055300992,0.00034297167,0.000176014,0.001344239,0.0008128995,0.00068865606,0.000028309372,0.00027642984,0.000005143446],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019256787,0.004397534,0.45102197,0.09271863,0.0013749147,0.0003597567,0.043376524,0.000018132036,0.00082728226,0.0027146246,0.37002248,0.031242464],"study_design_scores_gemma":[0.009386044,0.0007133698,0.53226954,0.056938283,0.0025453756,0.000010292385,0.026053324,0.00001815964,0.0005561181,0.0068263575,0.3627036,0.0019795368],"about_ca_topic_score_codex":0.40994814,"about_ca_topic_score_gemma":0.825447,"teacher_disagreement_score":0.41549888,"about_ca_system_score_codex":0.00025636557,"about_ca_system_score_gemma":0.0024730172,"threshold_uncertainty_score":0.99990225},"labels":[],"label_agreement":null},{"id":"W7095197938","doi":"","title":"Effects of Transit-Oriented Development on Affordable Housing, Job Accessibility, and Affordability of Transportation in the Metro Green Line Corridor of Los","year":2013,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transit-oriented development; Mile; Transit (satellite); Rail transit; Quarter (Canadian coin); Public transport; Transportation planning; Line (geometry)","score_opus":0.01613905738331325,"score_gpt":0.2820497789606648,"score_spread":0.26591072157735157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095197938","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962401,0.00006463881,0.0013920545,0.00013734742,0.00005276145,0.0012189604,0.000015413854,0.000017037553,0.00086169],"genre_scores_gemma":[0.99890643,0.000009321939,0.0009138802,0.00003490825,0.00001254165,0.000033991644,0.000011226503,0.00000629851,0.00007140489],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99805033,0.00019107338,0.00072395534,0.00027729373,0.0005306834,0.00022667182],"domain_scores_gemma":[0.9989,0.00039467082,0.00023643371,0.00021946487,0.00018709443,0.000062360086],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012780953,0.00014250164,0.0003945607,0.00010418826,0.000083861334,0.000012047707,0.0002948894,0.00010277976,0.00014101145],"category_scores_gemma":[0.00006704412,0.000095172036,0.00008484443,0.0006013871,0.00045096915,0.00034768923,0.0000065968084,0.00011386864,4.5555117e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011778504,0.00073857716,0.9722491,0.0007398911,0.000019740992,7.943373e-7,0.017667454,0.000010799365,0.0015211309,0.00070515194,0.0000065271784,0.0062230737],"study_design_scores_gemma":[0.00063728564,0.00013896536,0.94285774,0.000078731806,0.000034128618,1.2948338e-8,0.0021760366,0.000034847133,0.052751664,0.0011611409,0.00003366532,0.00009580665],"about_ca_topic_score_codex":0.02188727,"about_ca_topic_score_gemma":0.08067974,"teacher_disagreement_score":0.058792464,"about_ca_system_score_codex":0.0000401097,"about_ca_system_score_gemma":0.00015953537,"threshold_uncertainty_score":0.98462605},"labels":[],"label_agreement":null},{"id":"W7095279053","doi":"","title":"Title: THE BUILT ENVIRONMENT AND SCHOOL TRAVEL MODE CHOICE IN TORONTO","year":2016,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Built environment; Nexus (standard); Mode choice; Mode (computer interface); Travel behavior; Public transport; Urbanization; Logit; Urban planning","score_opus":0.01685912789864508,"score_gpt":0.2999361216433331,"score_spread":0.28307699374468803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095279053","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23754297,0.00057916,0.00024389614,0.0018469458,0.00007106018,0.00010492548,0.000002262576,0.0000134377615,0.75959533],"genre_scores_gemma":[0.95987177,0.000242118,0.000028769504,0.000035268706,0.00004800371,0.0000030148383,9.10508e-8,0.0000013114561,0.039769627],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997238,0.000013525768,0.00004618369,0.0000663249,0.000070674105,0.000079476995],"domain_scores_gemma":[0.99985504,0.000038390044,0.0000072034545,0.00006211074,0.000002051462,0.00003517956],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00012316662,0.000022257658,0.000025681735,0.0000021046174,0.000070747235,0.000012928165,0.000068084395,0.000020530273,0.0056091063],"category_scores_gemma":[0.000014689786,0.000010842801,0.0000080171585,0.00000953055,0.00007705437,0.000090223424,0.0000055611754,0.0000151709455,0.00008740442],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000064817136,0.00003551521,0.9011159,0.0000022101444,0.0000047450835,5.9418386e-7,0.00062569266,5.5762694e-8,0.0006422778,0.010479005,0.0073741404,0.07971339],"study_design_scores_gemma":[0.00010072516,0.000003428741,0.8192526,0.0000029735434,0.0000014923127,8.51679e-9,0.00031214432,0.0000055863043,0.00007957191,0.0016857013,0.1785141,0.000041684714],"about_ca_topic_score_codex":0.022477401,"about_ca_topic_score_gemma":0.16101693,"teacher_disagreement_score":0.72232884,"about_ca_system_score_codex":0.00007024845,"about_ca_system_score_gemma":0.000017659686,"threshold_uncertainty_score":0.9952999},"labels":[],"label_agreement":null},{"id":"W7095406654","doi":"","title":"Identifying Influences of Physical Environments and Socio-Demographic Characteristics on a Child&amp;apos;s Mode of Travel to and from School.” American Journal of Public Health","year":2009,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Physical activity; Public health; Public transport; Mode (computer interface); Travel behavior; Mode choice; South carolina; Suicide prevention","score_opus":0.07310400754821496,"score_gpt":0.37118831324229284,"score_spread":0.2980843056940779,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095406654","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99775916,0.00008285451,0.0005218655,0.001369487,0.000021216409,0.000107768974,0.00003372592,0.000004185989,0.000099707664],"genre_scores_gemma":[0.9987308,0.00024370747,0.0006745197,0.00025642058,0.00007471966,5.8880204e-7,0.0000032151586,0.0000034284956,0.000012594296],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99868226,0.00011707321,0.00041282555,0.000170472,0.0004214543,0.000195941],"domain_scores_gemma":[0.99908423,0.000064272324,0.00043617928,0.00010028395,0.000036073874,0.00027893498],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046784116,0.00009406826,0.00040124863,0.00011570024,0.00015333854,0.0000428283,0.00017270516,0.000033101056,0.000019202416],"category_scores_gemma":[0.000062481435,0.000077438955,0.00006901367,0.00022416876,0.00049773464,0.00027352423,0.000012292691,0.00013879352,4.0811966e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003538656,0.00033588742,0.93067676,0.000012293526,0.000035585923,3.365311e-7,0.019533802,0.0000010287152,0.0028808545,0.0002940697,0.0000072261664,0.04618674],"study_design_scores_gemma":[0.00018233151,0.0002566413,0.99507225,0.000051010356,0.000015482787,1.10140974e-7,0.0027153313,0.000005239905,0.00012451196,0.0014469665,0.000060677554,0.000069444315],"about_ca_topic_score_codex":0.0026120285,"about_ca_topic_score_gemma":0.000499624,"teacher_disagreement_score":0.064395465,"about_ca_system_score_codex":0.00002761621,"about_ca_system_score_gemma":0.00008954659,"threshold_uncertainty_score":0.39486232},"labels":[],"label_agreement":null},{"id":"W7095407796","doi":"","title":"Comment on This Article","year":2015,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Recreation; Cycling; Promotion (chess); Suicide prevention; Poison control","score_opus":0.07197063751204406,"score_gpt":0.337760863303882,"score_spread":0.2657902257918379,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095407796","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3951993,0.000009244878,0.000052816533,0.02732307,0.00011319971,0.000054666183,4.5149793e-7,0.00006337715,0.57718384],"genre_scores_gemma":[0.988608,8.9617544e-7,0.00014379447,0.0053064576,0.000073418465,0.0000020991015,5.939775e-7,0.0000015547604,0.0058631557],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995173,0.00003425217,0.000059193528,0.00007505322,0.00019733721,0.00011686856],"domain_scores_gemma":[0.9997271,0.000022283217,0.000010445827,0.00008693455,0.000030267787,0.00012298442],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00040300528,0.000027127737,0.000038579634,0.000008473738,0.000099813136,0.000026890506,0.000091911534,0.000021860804,0.0015825563],"category_scores_gemma":[0.00003232785,0.000020770522,0.000018300114,0.00007775846,0.00006600463,0.00009046345,0.000005272396,0.000034854,0.00043870654],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023552882,0.00024409204,0.5553627,0.0000013134895,0.0000047580857,0.0000029182634,0.011285374,0.0000016055191,0.000012369961,0.12574308,0.30337283,0.003945387],"study_design_scores_gemma":[0.00028069547,0.000045886227,0.027515205,0.0000027408655,0.000003929669,1.002452e-8,0.0026234987,0.000022947817,0.0008875028,0.01325149,0.955282,0.00008410198],"about_ca_topic_score_codex":0.0031373254,"about_ca_topic_score_gemma":0.0015104344,"teacher_disagreement_score":0.6519092,"about_ca_system_score_codex":0.00004111818,"about_ca_system_score_gemma":0.00004446815,"threshold_uncertainty_score":0.9993301},"labels":[],"label_agreement":null},{"id":"W7095537581","doi":"","title":"Estimating DEA Confidence Intervals for Canadian Urban Paratransit Agencies Using Panel Data Analysis","year":2008,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Paratransit; Panel data; Data envelopment analysis; Confidence interval; Data collection; Estimation","score_opus":0.26596948527363345,"score_gpt":0.3813926947257321,"score_spread":0.11542320945209866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095537581","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81490767,0.00015704452,0.17948298,0.00027187087,0.0001682493,0.00032302382,0.00021529612,0.00007054055,0.00440331],"genre_scores_gemma":[0.96936786,0.0000053300646,0.029249823,0.00018750942,0.00015266005,0.00000522775,0.000100037796,0.000006573959,0.00092498836],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985239,0.000059645507,0.00031154533,0.00042253002,0.00023825282,0.0004441632],"domain_scores_gemma":[0.99890506,0.00013476261,0.00007894099,0.00048102476,0.000128691,0.0002715146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008370109,0.000112760725,0.00025706415,0.00014094378,0.0012918767,0.00010216216,0.0007628642,0.00007777351,0.00053695415],"category_scores_gemma":[0.0001872835,0.00010647423,0.00012681347,0.0006573413,0.0003239766,0.0006911701,0.000020622922,0.00007009077,0.0000052637306],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007754786,0.000021947268,0.97701436,0.000025570394,0.00024239198,0.000021928918,0.018988578,0.0006383355,0.00013542373,0.00096524466,0.001341079,0.0005974071],"study_design_scores_gemma":[0.0006562283,0.000056611196,0.37707654,0.0000869694,0.0027377114,0.0000034861428,0.015658256,0.5850148,0.0006528534,0.0035984046,0.012852671,0.0016054782],"about_ca_topic_score_codex":0.7822484,"about_ca_topic_score_gemma":0.93574506,"teacher_disagreement_score":0.5999378,"about_ca_system_score_codex":0.00012705951,"about_ca_system_score_gemma":0.0009828199,"threshold_uncertainty_score":0.99362016},"labels":[],"label_agreement":null},{"id":"W7095581533","doi":"","title":"Study of integrated rail-property development model","year":2004,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Corporation; Government (linguistics); Sustainable development; Urban planning; Transit (satellite); Element (criminal law); Mainland; Standardization","score_opus":0.06933112410059288,"score_gpt":0.3172934737251677,"score_spread":0.2479623496245748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095581533","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.959092,0.0000062819663,0.0018059192,0.000111764966,0.00003563147,0.00024432671,6.847242e-7,0.000055168766,0.03864821],"genre_scores_gemma":[0.992782,0.0000010271283,0.0021348058,0.00003429214,0.000008788396,0.000007807425,0.000001828121,0.0000031067066,0.005026327],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992602,0.000021804264,0.00020056558,0.00014214824,0.000243553,0.00013172385],"domain_scores_gemma":[0.9997174,0.0000053175354,0.000033281704,0.000099813624,0.00009158751,0.000052573985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031287773,0.000057253932,0.000105641695,0.000026342752,0.00015946351,0.000014262829,0.0001863135,0.000033830784,0.00020199969],"category_scores_gemma":[0.00001708813,0.000032651897,0.000020716256,0.00020532234,0.000076331205,0.00013332137,0.0000124026365,0.00005146276,0.000009755919],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055841996,0.0035865253,0.7570789,0.000014555518,0.00005852031,0.0000068592403,0.2196808,0.0016657821,0.0003220441,0.0034155434,0.00017829328,0.013936313],"study_design_scores_gemma":[0.007063502,0.00045338532,0.6705899,0.00008886299,0.000089353445,1.4542306e-7,0.27973086,0.0005876954,0.015397046,0.012131854,0.012682447,0.0011849422],"about_ca_topic_score_codex":0.010930102,"about_ca_topic_score_gemma":0.047124892,"teacher_disagreement_score":0.086489,"about_ca_system_score_codex":0.00007948085,"about_ca_system_score_gemma":0.00052465964,"threshold_uncertainty_score":0.9956562},"labels":[],"label_agreement":null},{"id":"W7095620868","doi":"","title":"Walkability in Toronto’s High-rise Neighbourhoods. Retrieved from http://janeswalk.net/assets/ uploads_docs/Walkability_Full_Report.pdf","year":2011,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Walkability; Urban heat island; Term (time); Urban environment","score_opus":0.02823941063074573,"score_gpt":0.2838925849698992,"score_spread":0.25565317433915347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095620868","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8387559,0.00034571218,0.00012453849,0.0003985388,0.0008272368,0.00083574426,0.0000334094,0.00034688262,0.158332],"genre_scores_gemma":[0.99413717,0.000094285264,0.0017159147,0.00016601446,0.00033571577,0.000057724286,0.000061427556,0.000034127876,0.0033976475],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.994425,0.0005361819,0.0014514864,0.0014303103,0.0010294435,0.0011275912],"domain_scores_gemma":[0.99700546,0.0003540661,0.00035277999,0.0013946077,0.0002850043,0.0006080833],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0026751542,0.00047937722,0.0008238598,0.000046156354,0.00043209374,0.0001525209,0.0010763985,0.0005764717,0.074000426],"category_scores_gemma":[0.0007968941,0.00044068982,0.00033736002,0.000637526,0.000861117,0.001721556,0.00012391128,0.0005076624,0.0003936479],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020976397,0.0008870948,0.9815787,0.00002077032,0.000035763343,0.000060971815,0.007465352,3.4211718e-7,0.00013552168,0.0034556766,0.0002965398,0.0058534904],"study_design_scores_gemma":[0.00072908093,0.000082486484,0.9667902,0.000023355593,0.00005043718,3.417799e-7,0.0035186778,0.000017129289,0.0009059637,0.024107218,0.0032115462,0.00056357787],"about_ca_topic_score_codex":0.7511255,"about_ca_topic_score_gemma":0.6610825,"teacher_disagreement_score":0.1553812,"about_ca_system_score_codex":0.0013976815,"about_ca_system_score_gemma":0.0006928242,"threshold_uncertainty_score":0.9998045},"labels":[],"label_agreement":null},{"id":"W7095721270","doi":"","title":"Article walk 21 2009-11-07 1 Are all walking audits equivalent? A comparison of three walking audits in a Montreal neighbourhood","year":2014,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Audit; Neighbourhood (mathematics); Work (physics); Preferred walking speed","score_opus":0.038750483222310124,"score_gpt":0.3158024220900041,"score_spread":0.27705193886769397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095721270","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9674104,0.0002460276,0.0012480011,0.0009458847,0.00026020358,0.00036944207,0.000009903157,0.00012710915,0.029383067],"genre_scores_gemma":[0.9986775,0.000011347335,0.00037013713,0.00013323092,0.0002691121,0.00001560779,0.000006901124,0.000019077093,0.0004971177],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99686223,0.00023556693,0.0007888609,0.00053105457,0.00074322073,0.00083907426],"domain_scores_gemma":[0.99851936,0.0003000203,0.00040288587,0.00039508272,0.00014223525,0.00024044105],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014116595,0.00024413127,0.0005990733,0.0001305475,0.000271933,0.00009995529,0.00057811756,0.00020307633,0.001579862],"category_scores_gemma":[0.000288328,0.00022148436,0.00017247374,0.00052562536,0.0002358465,0.00056415313,0.0000840751,0.00026571893,0.00007390578],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038931707,0.0004217501,0.9649357,0.000042665597,0.000021900127,0.000005771878,0.007824374,0.000056945584,0.00036933023,0.001527343,0.00066467794,0.024090596],"study_design_scores_gemma":[0.0008757033,0.000055098553,0.98501474,0.00012293801,0.00004356545,1.6253733e-7,0.0025167202,0.002815332,0.00084256014,0.006614479,0.000808408,0.00029032075],"about_ca_topic_score_codex":0.026447399,"about_ca_topic_score_gemma":0.51726323,"teacher_disagreement_score":0.49081582,"about_ca_system_score_codex":0.00012846664,"about_ca_system_score_gemma":0.000075054166,"threshold_uncertainty_score":0.99933285},"labels":[],"label_agreement":null},{"id":"W7095962441","doi":"","title":"Co-Authors","year":2014,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Pedestrian; Downtown; Neighbourhood (mathematics); General partnership; Central city","score_opus":0.025447118798509447,"score_gpt":0.33608038466542006,"score_spread":0.3106332658669106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7095962441","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37258554,0.000004135789,0.0010518624,0.00066040753,0.0000993441,0.000028669883,2.824111e-7,0.00007191025,0.6254979],"genre_scores_gemma":[0.98032904,0.0000011899733,0.00019605148,0.00021621524,0.00014880869,0.0000010870665,0.0000011444156,0.0000016135491,0.019104859],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995828,0.000041357136,0.000056744837,0.00008099745,0.000122050835,0.00011600495],"domain_scores_gemma":[0.9998041,0.000029582397,0.000011304211,0.000073214636,0.000015815049,0.00006600791],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00047526485,0.000024867104,0.000041210937,0.000010410472,0.00018104092,0.000026524553,0.00010837116,0.000033282635,0.0024545023],"category_scores_gemma":[0.000040889237,0.000020059586,0.000024302268,0.000067950015,0.000106057225,0.000091114955,0.0000014467637,0.000032772703,0.00017414946],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000001830687,0.000021162594,0.88144284,0.0000020429684,0.0000017124373,2.456802e-7,0.0018659014,1.8067075e-7,0.000051351693,0.099722914,0.0065124105,0.010377423],"study_design_scores_gemma":[0.000071669354,0.000007319613,0.283592,0.0000013347424,0.0000029020991,7.9687155e-9,0.00046309826,0.000011808944,0.00041267698,0.011560216,0.70380306,0.000073913245],"about_ca_topic_score_codex":0.0014393145,"about_ca_topic_score_gemma":0.0027030408,"teacher_disagreement_score":0.69729066,"about_ca_system_score_codex":0.000007926417,"about_ca_system_score_gemma":0.000021123344,"threshold_uncertainty_score":0.9984574},"labels":[],"label_agreement":null},{"id":"W7096051914","doi":"","title":"Recommended Citation Tang, Zhongyuan, &amp;quot;Modeling Commuting Behaviour in Canadian Metropolitan Areas: Investigation of Factors and Methods with Micro Data &amp;quot; (2011). Electronic Theses and Dissertations. Paper 5392. Modeling Commuting Behaviour in Canadian Me","year":2011,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Windsor; Permission; Metropolitan area; License; Citation","score_opus":0.11106133240079696,"score_gpt":0.3593570246943877,"score_spread":0.24829569229359072,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096051914","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99646384,0.00044803845,0.0011754239,0.0004419519,0.00004230222,0.00052637735,0.000080552316,0.000036918103,0.0007846004],"genre_scores_gemma":[0.9772148,0.00004804332,0.021985663,0.000091109934,0.000013607175,0.000018970753,0.00055805343,0.000033910517,0.000035824756],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99666494,0.0006599994,0.00077322446,0.00059191266,0.0002512798,0.0010586305],"domain_scores_gemma":[0.9981372,0.0002648541,0.00021991199,0.00052572833,0.0002117008,0.0006406372],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003749865,0.00030400013,0.00043691124,0.0007020319,0.0007244436,0.00013747561,0.00053362537,0.00021988963,0.00014786755],"category_scores_gemma":[0.00036293635,0.00028180002,0.000036515143,0.00060453295,0.0002229053,0.0013757332,0.000050339724,0.0005003928,5.7537795e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000129917735,0.000028403003,0.9631471,0.000018957882,0.000019397434,0.0000010509724,0.035209518,0.000036931677,0.00024463338,0.0009898752,0.000003509341,0.00028764264],"study_design_scores_gemma":[0.0005622371,0.00004358885,0.8641487,0.00019770965,0.00015962777,0.0000014740261,0.11622457,0.013334076,0.00029689775,0.004337041,0.000029148145,0.00066496496],"about_ca_topic_score_codex":0.99824417,"about_ca_topic_score_gemma":0.9999336,"teacher_disagreement_score":0.09899843,"about_ca_system_score_codex":0.00095532776,"about_ca_system_score_gemma":0.00153706,"threshold_uncertainty_score":0.9999634},"labels":[],"label_agreement":null},{"id":"W7096544294","doi":"","title":"Rural-Urban Contrasts in Activities and Travel Behavior: Preliminary Results from the Halifax STAR Project.","year":2015,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Rural area; Population; Survey data collection; Rural population; Key (lock)","score_opus":0.04946404193868839,"score_gpt":0.30957293266305996,"score_spread":0.2601088907243716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096544294","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9869785,0.00026847888,0.0000070843153,0.0011513615,0.00012922016,0.00057071575,0.0002069262,0.000048361526,0.010639405],"genre_scores_gemma":[0.99783415,0.000028884058,0.00010077244,0.00009956849,0.00014905988,0.0000342051,0.0000492576,0.0000064449628,0.001697667],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987696,0.00017977673,0.00024187025,0.00023303129,0.00031200825,0.00026375745],"domain_scores_gemma":[0.9993426,0.00027728197,0.0000629724,0.00018440017,0.000037921443,0.00009481752],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000789742,0.00011048109,0.00016190117,0.000028588207,0.00018370946,0.000103089995,0.00022397315,0.000096244,0.000029137467],"category_scores_gemma":[0.00010203404,0.00007315302,0.000032152348,0.00014801564,0.00042211055,0.00044171972,0.000023965427,0.00015150581,0.0000029997889],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006408185,0.00019155597,0.8762012,0.0000030286335,0.000008815273,0.000014245082,0.11326269,1.8230517e-7,0.00009647498,0.0004989537,0.0067310124,0.00235104],"study_design_scores_gemma":[0.0010370705,0.000088507455,0.91401196,0.000020849426,0.000022679242,1.434694e-7,0.081910595,0.000014383003,0.00016088845,0.00065097644,0.0019430815,0.00013888176],"about_ca_topic_score_codex":0.15205926,"about_ca_topic_score_gemma":0.1187097,"teacher_disagreement_score":0.037810754,"about_ca_system_score_codex":0.00005811253,"about_ca_system_score_gemma":0.0002566443,"threshold_uncertainty_score":0.89737153},"labels":[],"label_agreement":null},{"id":"W7096625519","doi":"","title":"Food Deserts in Montreal","year":2010,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Social exclusion; Measure (data warehouse); Relative deprivation; Estimation; Food supply","score_opus":0.018235338395522493,"score_gpt":0.2874016938853524,"score_spread":0.2691663554898299,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096625519","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72672856,0.000004959709,0.000009377221,0.00032678558,0.000113629496,0.000045732882,4.6396858e-7,0.000025971247,0.2727445],"genre_scores_gemma":[0.9974265,0.0000012908765,0.00014918348,0.000053498592,0.00007546467,0.0000027973622,6.694247e-7,0.0000014923307,0.0022891047],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99960244,0.000012559316,0.00006702017,0.000088687855,0.00009469596,0.00013462646],"domain_scores_gemma":[0.9998304,0.000021240847,0.000009090491,0.00007497729,0.000013503798,0.00005077626],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00021767008,0.000027714197,0.00004343335,0.000018826924,0.000068854875,0.000020640433,0.000116333686,0.000050296003,0.0014030419],"category_scores_gemma":[0.000027713,0.000022866638,0.000018942876,0.00010979934,0.000075742326,0.0001417746,0.0000044772382,0.0000866878,0.000025579038],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000027918331,0.000034876226,0.9878611,6.9170056e-7,6.466055e-7,0.000001206418,0.0014845572,5.964716e-8,0.00007655609,0.0056499164,0.0001265574,0.0047610505],"study_design_scores_gemma":[0.000087983746,0.000008133399,0.98427945,6.9615584e-7,8.045938e-7,1.2758336e-8,0.00033071058,0.000003601417,0.00013094227,0.01112489,0.0039931624,0.00003962581],"about_ca_topic_score_codex":0.028124873,"about_ca_topic_score_gemma":0.90151066,"teacher_disagreement_score":0.8733858,"about_ca_system_score_codex":0.000006713645,"about_ca_system_score_gemma":0.00003760258,"threshold_uncertainty_score":0.9995098},"labels":[],"label_agreement":null},{"id":"W7096768581","doi":"","title":"Density, destinations or both? A comparison of measures of walkability in relation to transportation behaviors, obesity and diabetes in","year":2016,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Walkability; Destinations; Built environment; Public transport; Poison control; Obesity; Public health; Human factors and ergonomics","score_opus":0.049497839028264365,"score_gpt":0.3345681369915041,"score_spread":0.28507029796323974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096768581","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99888724,0.00001597559,0.00034495495,0.00024664044,0.00001877598,0.0003155529,0.000010743736,0.000013675607,0.00014645551],"genre_scores_gemma":[0.9993462,0.000003597888,0.00059184444,0.000003920121,0.0000039989136,0.000008566301,0.0000029496712,0.0000022183078,0.000036681657],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990028,0.00010295166,0.0003971689,0.00016226376,0.00021789409,0.00011692406],"domain_scores_gemma":[0.9994801,0.0001997032,0.00008511287,0.00008677335,0.00010096505,0.000047289992],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008037644,0.00005460831,0.0001953973,0.000102324484,0.00004594658,0.0000049640175,0.00007519199,0.00006942244,0.000055441134],"category_scores_gemma":[0.00021945768,0.00003918282,0.000022969787,0.00037230866,0.00017166782,0.00025653013,0.000003880876,0.00004091323,2.9583623e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026711796,0.00025989744,0.98710513,0.000019123006,0.0000011359688,1.6773264e-7,0.0052383947,0.0000033060746,0.0038322443,0.0005604756,0.0000030860945,0.002950327],"study_design_scores_gemma":[0.0002312052,0.00003577899,0.99235153,0.000056075733,0.000009877998,2.8443878e-9,0.00054776034,0.000008195778,0.005312689,0.0013877712,0.0000044027306,0.000054716733],"about_ca_topic_score_codex":0.009842861,"about_ca_topic_score_gemma":0.5107334,"teacher_disagreement_score":0.50089055,"about_ca_system_score_codex":0.000058404403,"about_ca_system_score_gemma":0.00007514076,"threshold_uncertainty_score":0.99675065},"labels":[],"label_agreement":null},{"id":"W7096978310","doi":"","title":"Journal of Rural and Community Development ISSN: 1712-8277 © Journal of Rural and Community Development www.jrcd.ca Journal of Rural and Community Development Assessing Transportation Disadvantage in Rural Ontario, Canada: A Case Study of","year":2016,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Disadvantage; Rural community; Community development; Rural community development; Rural development; Rural sociology; Rural area","score_opus":0.036249000586790564,"score_gpt":0.30720976993343735,"score_spread":0.2709607693466468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096978310","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985729,0.00028274662,0.00027561624,0.00010024002,0.0002595608,0.00039444744,0.000013834589,0.000007021361,0.000093627605],"genre_scores_gemma":[0.9975847,0.000074268086,0.0021849016,0.00002996398,0.000037279722,0.0000037952066,0.00001227847,0.00001924982,0.000053537256],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99140906,0.0035442694,0.0031238287,0.00008976853,0.0012687062,0.00056436064],"domain_scores_gemma":[0.9947498,0.0011558493,0.0021842143,0.00029641532,0.0010963471,0.0005174085],"candidate_categories":["metaepi_narrow","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.011151425,0.00043917014,0.0011986595,0.00037893053,0.0030560386,0.0001845219,0.00080726785,0.0001740984,0.0001395397],"category_scores_gemma":[0.0002301278,0.00032033655,0.00010224108,0.0003622105,0.0007348857,0.0018417415,0.00014275398,0.0026196179,1.13913735e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030278863,0.0014168583,0.6983138,0.00010915486,0.00020511742,0.0001100654,0.2740738,0.000003759628,0.00045282705,0.0000040429677,0.000016144751,0.024991639],"study_design_scores_gemma":[0.0025605727,0.00032836912,0.57186,0.00058274704,0.000079993086,0.00021073976,0.42338622,8.392309e-7,0.0006073434,0.000052782623,0.00009808328,0.00023227218],"about_ca_topic_score_codex":0.7701074,"about_ca_topic_score_gemma":0.99236417,"teacher_disagreement_score":0.22225681,"about_ca_system_score_codex":0.0013839147,"about_ca_system_score_gemma":0.005594832,"threshold_uncertainty_score":0.9999249},"labels":[],"label_agreement":null},{"id":"W7096978662","doi":"","title":"Open Access What’s “quickest and easiest?&amp;quot;: parental decision making about school trip mode","year":2013,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Perception; Mode choice; Thematic analysis; Ascription; Focus group; Mode (computer interface); Salient; Theme (computing)","score_opus":0.08148572084779855,"score_gpt":0.4317157869789231,"score_spread":0.35023006613112456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096978662","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97292614,0.00050279923,0.0006314688,0.0008035346,0.00049952435,0.00092253566,0.000006413205,0.000085607906,0.023621988],"genre_scores_gemma":[0.9933625,0.0003142619,0.0017752069,0.00066132843,0.00018239062,0.000065218526,0.000012233839,0.000013977649,0.0036128701],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981324,0.000092125716,0.0003680937,0.0005142108,0.00044644577,0.00044672334],"domain_scores_gemma":[0.9989295,0.0001709004,0.00011507169,0.00032780517,0.00012635355,0.00033038552],"candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005553041,0.0001728462,0.00026147097,0.00007391887,0.00076655386,0.007286522,0.0017056634,0.00013516106,0.0076140836],"category_scores_gemma":[0.00018893948,0.00014033169,0.000063109466,0.000334537,0.0002799544,0.012129324,0.00049120473,0.00016727654,0.00023627612],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029479499,0.0000813535,0.9378541,0.000010356927,0.000009341633,0.0000017222786,0.0016053187,0.0000028581721,0.000030732626,0.0005613267,0.0043951888,0.055418186],"study_design_scores_gemma":[0.00050917885,0.000014589659,0.9684371,0.0001625361,0.000016481015,4.213165e-7,0.0054901442,0.00008882071,0.000026575297,0.014532943,0.010419278,0.00030194962],"about_ca_topic_score_codex":0.033396248,"about_ca_topic_score_gemma":0.04912115,"teacher_disagreement_score":0.055116236,"about_ca_system_score_codex":0.00009393406,"about_ca_system_score_gemma":0.00019574158,"threshold_uncertainty_score":0.993744},"labels":[],"label_agreement":null},{"id":"W7096997827","doi":"","title":"www.mdpi.com/journal/ijerph Article Relating Built Environment to Physical Activity: Two Failures to Validate","year":2014,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Built environment; Scale (ratio); Work (physics); Audit; Test (biology); Similarity (geometry)","score_opus":0.026672950742562297,"score_gpt":0.3224797912097504,"score_spread":0.2958068404671881,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096997827","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9592421,0.0000041573085,0.015773574,0.010869815,0.00012883033,0.00023534634,0.0000021416108,0.000082078164,0.013661974],"genre_scores_gemma":[0.9935686,0.0000013527508,0.0017938949,0.00049651123,0.0005737329,0.000011589443,6.232254e-7,0.000013439694,0.003540276],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982512,0.00018373609,0.00019112047,0.00034423696,0.0005477204,0.0004820137],"domain_scores_gemma":[0.99897546,0.00014277708,0.00007248659,0.00028245096,0.000029496225,0.00049736124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095946,0.00014130426,0.00021149356,0.000047940215,0.0006197934,0.00021507933,0.00033123998,0.000046979712,0.0008658753],"category_scores_gemma":[0.00013328488,0.00011833435,0.00011364669,0.00021346455,0.00009433392,0.00046589412,0.00007214281,0.00021890394,0.0007648265],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019493644,0.0016713057,0.54917014,0.000025282972,0.000108307744,0.000029601199,0.03787025,0.0034427007,0.088921845,0.018038066,0.0082177445,0.29230982],"study_design_scores_gemma":[0.0016799055,0.00050730613,0.44473058,0.000083728955,0.00015876257,0.000001980408,0.0038024127,0.0032537272,0.06978835,0.02495202,0.449548,0.0014932067],"about_ca_topic_score_codex":0.002520596,"about_ca_topic_score_gemma":0.0014730385,"teacher_disagreement_score":0.44133025,"about_ca_system_score_codex":0.00011457529,"about_ca_system_score_gemma":0.000041161416,"threshold_uncertainty_score":0.98305523},"labels":[],"label_agreement":null},{"id":"W7097118266","doi":"","title":"Low Birthweights: Spatial and Socioeconomic Patterns in","year":2015,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Socioeconomic status; Geocoding; Low birth weight; Birth weight; Spatial epidemiology; Population","score_opus":0.02355758930876124,"score_gpt":0.28141157250674376,"score_spread":0.25785398319798253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097118266","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9810726,0.000026394948,0.00016916747,0.00065125636,0.00012287147,0.000076721364,0.0000031011643,0.000028752975,0.017849145],"genre_scores_gemma":[0.9990266,0.000011871953,0.000038795897,0.000121335244,0.00012086978,0.000002837181,0.000002199536,0.0000026154812,0.00067286403],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99952364,0.000031648222,0.00010514346,0.00012963031,0.00007222157,0.00013772528],"domain_scores_gemma":[0.9997913,0.000018984534,0.000019267593,0.000057126705,0.000013932078,0.00009938041],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003026139,0.000042236163,0.00007687858,0.000025860076,0.00005164871,0.000036551195,0.00008075665,0.000045333447,0.0005171393],"category_scores_gemma":[0.000008655614,0.000036247613,0.000014856016,0.000028018936,0.000103844905,0.00019939829,0.000009696638,0.000046980003,0.00003551467],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000039824004,0.00002129508,0.99132776,0.0000025277766,0.0000010641904,0.0000016669477,0.0045367857,2.1260641e-7,0.000001808126,0.00074061326,0.00008379809,0.0032785006],"study_design_scores_gemma":[0.000395876,0.000012930602,0.98719937,0.000004471624,0.0000019152253,3.3928465e-8,0.0030007092,0.000040952626,0.000089081776,0.006507957,0.0026509613,0.00009575036],"about_ca_topic_score_codex":0.039955486,"about_ca_topic_score_gemma":0.28127572,"teacher_disagreement_score":0.24132024,"about_ca_system_score_codex":0.00004892453,"about_ca_system_score_gemma":0.00009173163,"threshold_uncertainty_score":0.9664375},"labels":[],"label_agreement":null},{"id":"W7097135506","doi":"","title":"Fostering Collaboration in Winnipeg","year":2015,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Downtown; Plan (archaeology); Urban planning; Transportation planning; Public transport; Quality (philosophy); Urban design","score_opus":0.08071485317707833,"score_gpt":0.36977842574283165,"score_spread":0.2890635725657533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097135506","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7617292,0.000027612756,0.0000996648,0.00095893035,0.00011897876,0.00006459008,3.0028946e-7,0.00003152062,0.23696923],"genre_scores_gemma":[0.997998,0.0000011212628,0.00025750574,0.00007178933,0.000059805006,0.0000025765767,0.000001187683,0.0000012901825,0.0016067317],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99962926,0.000027182345,0.000072824696,0.00006917806,0.00011564445,0.000085914595],"domain_scores_gemma":[0.999842,0.000008342995,0.000011451162,0.000044838736,0.000042938154,0.000050429164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003784286,0.000021568327,0.00003773636,0.000020568248,0.000038274447,0.000037533653,0.00006184785,0.00002644856,0.000099026314],"category_scores_gemma":[0.000041709638,0.00001982707,0.000006390692,0.00026130636,0.00003437099,0.00030721803,0.000012113054,0.000022668642,0.000018770712],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009165325,0.000026006737,0.9675318,0.0000018541305,6.4972494e-7,0.0000024872218,0.02225356,0.0000072289035,0.00005383557,0.0037244305,0.000559437,0.005829525],"study_design_scores_gemma":[0.0015267456,0.00006256986,0.6381347,0.000025784231,0.0000071615477,7.730087e-8,0.073586576,0.00022414894,0.0008588296,0.073004946,0.21214879,0.00041963308],"about_ca_topic_score_codex":0.0033704608,"about_ca_topic_score_gemma":0.07894741,"teacher_disagreement_score":0.32939708,"about_ca_system_score_codex":0.000053414,"about_ca_system_score_gemma":0.00013327185,"threshold_uncertainty_score":0.9378594},"labels":[],"label_agreement":null},{"id":"W7097225162","doi":"","title":"SUMMARY","year":2010,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Control (management); Outreach; Stakeholder; Greenhouse gas","score_opus":0.01747718718111296,"score_gpt":0.30332121944376494,"score_spread":0.285844032262652,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097225162","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5137581,0.0000036249812,0.000021250726,0.0005701591,0.00021338748,0.000020487565,2.7869004e-7,0.000048195845,0.48536447],"genre_scores_gemma":[0.9754636,0.0000016048846,0.0003661464,0.00014081018,0.00018350047,9.532977e-7,8.0916425e-7,0.0000011872066,0.023841364],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99971914,0.0000072034013,0.000039161565,0.00006052857,0.000084209656,0.00008972756],"domain_scores_gemma":[0.99984103,0.000016151076,0.0000065616996,0.00007035955,0.000016183723,0.000049686918],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00019297867,0.000018319648,0.00002517643,0.0000076286738,0.0001397143,0.000020640127,0.000104183884,0.000033928984,0.0048768986],"category_scores_gemma":[0.000020182268,0.000014769616,0.000019065752,0.000060578666,0.00011416899,0.000116054915,0.000003530795,0.000069041234,0.00007312717],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000011036824,0.000020247942,0.9310929,7.9083514e-7,9.425843e-7,8.7391805e-7,0.00073511206,6.5177423e-9,0.0007301598,0.056411304,0.004848895,0.0061576376],"study_design_scores_gemma":[0.00004471131,0.0000019763177,0.38258404,5.1962115e-7,0.0000018359514,1.3173297e-8,0.00028909062,0.0000012174432,0.0004110803,0.008222254,0.6083888,0.00005448676],"about_ca_topic_score_codex":0.002573397,"about_ca_topic_score_gemma":0.045090232,"teacher_disagreement_score":0.6035399,"about_ca_system_score_codex":0.0000024515812,"about_ca_system_score_gemma":0.00004262307,"threshold_uncertainty_score":0.9960328},"labels":[],"label_agreement":null},{"id":"W7097749973","doi":"","title":"www.mdpi.com/journal/ijerph Article Street Connectivity is Negatively Associated with Physical Activity in Canadian Youth","year":2011,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Physical activity; Quartile; Poison control; Injury prevention; Suicide prevention; Occupational safety and health; Human factors and ergonomics; Confidence interval","score_opus":0.050299016876083444,"score_gpt":0.27972476772186994,"score_spread":0.22942575084578648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097749973","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96367943,0.000003814867,0.00007198936,0.0005072069,0.000062759165,0.00021488364,0.000057687754,0.000054129654,0.035348076],"genre_scores_gemma":[0.9993474,0.0000013834647,0.000024390334,0.00013700657,0.00006334177,0.000004633252,0.0000024105175,0.000011090906,0.00040832473],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99822414,0.00025519182,0.00014677718,0.00030394277,0.00036281196,0.00070716336],"domain_scores_gemma":[0.9989128,0.00010767024,0.000121184865,0.00016075419,0.00014153316,0.0005560248],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008246962,0.00015779061,0.00026645022,0.000090028545,0.00048579593,0.00008332359,0.00026564207,0.00010944096,0.00074109476],"category_scores_gemma":[0.00016078522,0.00012642785,0.00008101373,0.0006132719,0.0003507612,0.0008744721,0.000012513956,0.00037498574,0.000019247771],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004442737,0.00048628962,0.9553408,0.0000014977477,0.000031503594,0.000027896776,0.042401627,8.6380703e-7,0.000023718194,0.0006443526,0.000059689246,0.00093732664],"study_design_scores_gemma":[0.0005463966,0.000076,0.98714066,0.000019200817,0.000029914609,1.0837496e-7,0.007844942,0.0001378364,0.0014375177,0.002495017,0.00005484436,0.00021754613],"about_ca_topic_score_codex":0.8781883,"about_ca_topic_score_gemma":0.9879038,"teacher_disagreement_score":0.10971548,"about_ca_system_score_codex":0.00053655007,"about_ca_system_score_gemma":0.0010878405,"threshold_uncertainty_score":0.8114468},"labels":[],"label_agreement":null},{"id":"W7097908676","doi":"","title":"A public health dilemma: Urban bicycle-sharing schemes Dear Editor: In 2008, a pioneering, Canadian company, Bixi, launched an","year":2016,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Public health; Launched; Quarter (Canadian coin); Productivity; Health promotion; Disease burden","score_opus":0.07137485509796967,"score_gpt":0.3102006070071291,"score_spread":0.23882575190915942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7097908676","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98204887,0.00013159492,0.00018771834,0.011853993,0.0010312147,0.00032454706,0.00003347372,0.00018815011,0.0042004306],"genre_scores_gemma":[0.9967118,0.000016574513,0.00029905947,0.00038282885,0.0017673163,0.000021632224,0.000016034486,0.000017945013,0.0007668155],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99757,0.00010735982,0.00038106367,0.00049528055,0.00038071047,0.001065588],"domain_scores_gemma":[0.99824435,0.00004858419,0.00008254367,0.00036297197,0.00009777864,0.001163757],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001362349,0.00016538908,0.00026719848,0.00030143885,0.00047550775,0.00019106394,0.0006106347,0.00013938836,0.0013025698],"category_scores_gemma":[0.00014103916,0.00012728904,0.00006143567,0.0006035295,0.00022022704,0.0011587148,0.000032747128,0.00015965277,0.000053953627],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000028906545,0.00008093885,0.9847889,0.000009351408,0.000006594746,0.0000039057195,0.0030921649,2.885436e-7,0.000041340907,0.003180954,0.006807099,0.001985549],"study_design_scores_gemma":[0.0005154315,0.000036463898,0.66596353,0.000050100556,0.0000026562773,1.4926397e-7,0.0011036219,0.00006535886,0.00002415799,0.0005681479,0.33138105,0.00028932534],"about_ca_topic_score_codex":0.80699,"about_ca_topic_score_gemma":0.97795224,"teacher_disagreement_score":0.32457393,"about_ca_system_score_codex":0.00074377755,"about_ca_system_score_gemma":0.0016844836,"threshold_uncertainty_score":0.99961036},"labels":[],"label_agreement":null},{"id":"W7098067027","doi":"","title":"N. Smith Lea 4948 Environments 28(2) Colliding Modes of Transportation: Issues of Inequity and Unsustainability","year":2015,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Public policy; Democracy; Inequality; Politics; Decentralization; Control (management); Incentive; Collective action","score_opus":0.047431608762184475,"score_gpt":0.32834066180861027,"score_spread":0.28090905304642577,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7098067027","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940076,0.0003533752,0.00052588276,0.00035798003,0.00002553309,0.00022700752,0.00002112901,0.000018081286,0.0044634505],"genre_scores_gemma":[0.9981972,0.00005951018,0.00062878313,0.000010051952,0.000023125867,0.000003992576,0.000005272055,0.000003860116,0.001068186],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988968,0.000074034375,0.00031694374,0.00019205509,0.00036072967,0.00015946601],"domain_scores_gemma":[0.9994933,0.000044976452,0.00011505832,0.0001409066,0.000089007124,0.00011674742],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008698707,0.00008043284,0.00022560218,0.000029664467,0.000091081514,0.00001094494,0.00013747787,0.00007052467,0.000088352295],"category_scores_gemma":[0.000059066286,0.00007085838,0.000042250467,0.0001649352,0.0005826579,0.00033817548,0.000008285793,0.000048757425,4.2417363e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045815268,0.00012824546,0.9823485,0.00008336102,0.000010810416,8.1312e-7,0.011665835,0.000033281583,0.0002484372,0.0048382203,0.00006185599,0.00053483347],"study_design_scores_gemma":[0.00056245114,0.000092763206,0.94713014,0.00002013193,0.000045453136,2.6038954e-8,0.026882397,0.000053982185,0.010286079,0.01066775,0.004104752,0.00015408066],"about_ca_topic_score_codex":0.008262231,"about_ca_topic_score_gemma":0.0026761515,"teacher_disagreement_score":0.035218358,"about_ca_system_score_codex":0.00005543329,"about_ca_system_score_gemma":0.000160287,"threshold_uncertainty_score":0.99834186},"labels":[],"label_agreement":null},{"id":"W7098352019","doi":"","title":"Forthcoming at the Journal of International Economics","year":2015,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Destinations; Gravity model of trade; Clothing; State (computer science); Set (abstract data type)","score_opus":0.056627627090242785,"score_gpt":0.32051215558883717,"score_spread":0.2638845284985944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7098352019","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9134979,0.00007114591,0.0001710758,0.0020845626,0.0005073053,0.00002032763,7.81353e-7,0.000003332913,0.08364354],"genre_scores_gemma":[0.99481016,0.000036473724,0.00015855586,0.00010534664,0.00023383135,1.2896122e-7,4.4036736e-7,0.0000010748619,0.004653988],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99969244,0.000020445035,0.00011502553,0.00002520143,0.00009475883,0.000052112224],"domain_scores_gemma":[0.99972415,0.00003667042,0.00007101594,0.00003950153,0.00008436044,0.000044323653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009061997,0.000018043109,0.00003580792,0.000010879701,0.00007903589,0.000020454774,0.00020841985,0.000015204278,0.00047306455],"category_scores_gemma":[0.000044003726,0.000010835405,0.000029138886,0.000022584203,0.000084577965,0.00018503313,0.000014217038,0.000032626223,0.000007164289],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022897291,0.000013205434,0.98288876,3.329111e-7,0.0000110057645,4.5384087e-7,0.005776179,0.000028042574,0.000004990474,0.0038964998,0.005100613,0.002257036],"study_design_scores_gemma":[0.00065993494,0.000031102376,0.14662543,0.0000051743446,0.000024524954,0.000002176994,0.01690301,0.00016578528,0.00045016763,0.017139118,0.8178834,0.00011019605],"about_ca_topic_score_codex":0.00057567866,"about_ca_topic_score_gemma":0.012552666,"teacher_disagreement_score":0.8362633,"about_ca_system_score_codex":0.00007493735,"about_ca_system_score_gemma":0.000111020236,"threshold_uncertainty_score":0.7004682},"labels":[],"label_agreement":null},{"id":"W7098716131","doi":"","title":"Temporal Transferability of Models of Mode-Destination Choice for the Greater Toronto and Hamilton","year":2015,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transferability; Empirical evidence; Mode (computer interface); Mathematical model; Transit (satellite); Transfer (computing); Constant (computer programming)","score_opus":0.09550855205184232,"score_gpt":0.3487437375198289,"score_spread":0.25323518546798657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7098716131","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96741825,0.00015934592,0.023764608,0.00025510066,0.00004345787,0.00043215038,0.000018123212,0.000016737375,0.007892211],"genre_scores_gemma":[0.9989144,0.000009189003,0.0006904131,0.000013942864,0.000029675066,0.000013686389,0.0000028041165,0.000002876031,0.0003229978],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993671,0.00004159464,0.00018938647,0.00012175107,0.00018599113,0.00009414648],"domain_scores_gemma":[0.9994573,0.00012557897,0.00003980255,0.00011689097,0.00021191635,0.000048506325],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007806163,0.00005049365,0.000121172525,0.000006542444,0.000076383214,0.000010227617,0.00011824504,0.000047705893,0.00002777606],"category_scores_gemma":[0.000040288458,0.000031735144,0.000043061344,0.00004410393,0.00024321492,0.00043189366,0.0000036764857,0.00002125825,4.7757794e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002237991,0.00020403626,0.9088134,0.00013518754,0.000029330244,5.8382646e-8,0.06237142,0.0003024225,0.0002909529,0.019189024,0.00015470493,0.008285627],"study_design_scores_gemma":[0.003202076,0.00048675327,0.75184816,0.000044709097,0.00021917836,1.1516919e-7,0.014968127,0.06248989,0.007132543,0.15649375,0.0026578994,0.00045676818],"about_ca_topic_score_codex":0.06908113,"about_ca_topic_score_gemma":0.09348642,"teacher_disagreement_score":0.15696526,"about_ca_system_score_codex":0.000035576162,"about_ca_system_score_gemma":0.00007322104,"threshold_uncertainty_score":0.93711793},"labels":[],"label_agreement":null},{"id":"W7099222893","doi":"","title":"MOTIVATORS AND BARRIERS TO UTILITARIAN CYCLING IN DOWNTOWN TORONTO","year":2014,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cycling; Downtown; Work (physics); Journey to work; Traverse; Behaviour change","score_opus":0.010597383136471211,"score_gpt":0.28458700030419315,"score_spread":0.27398961716772197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7099222893","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85236305,0.00003661941,0.00016304747,0.0007234961,0.00010578431,0.000119189535,8.075962e-7,0.000040423733,0.1464476],"genre_scores_gemma":[0.9984716,0.0000045590505,0.00034477582,0.00037246256,0.00007332867,0.0000043560444,5.748742e-7,0.0000034283737,0.0007248921],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99921364,0.00006266687,0.00014149597,0.00021517454,0.0001373929,0.00022961352],"domain_scores_gemma":[0.99946094,0.00005908266,0.000013442565,0.00010837722,0.000015743417,0.00034241175],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007676852,0.00006237049,0.00010621418,0.000020948042,0.00019330456,0.000041846757,0.00012731018,0.000058513553,0.0020115864],"category_scores_gemma":[0.00029568712,0.000054614025,0.0000211152,0.00010907838,0.00008976781,0.00030842642,0.0000151736,0.00004585104,0.0000053997373],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000057850207,0.000007595547,0.97543514,0.000002892925,0.0000014269741,3.3868682e-7,0.011346095,9.2575505e-7,0.000026654794,0.005276296,0.00007324915,0.00782363],"study_design_scores_gemma":[0.0001559097,0.000017780527,0.97244453,0.000009515356,0.0000028444524,1.2608135e-8,0.00924486,0.000032154716,0.000071249226,0.0021016675,0.015797125,0.00012235739],"about_ca_topic_score_codex":0.11680829,"about_ca_topic_score_gemma":0.46240798,"teacher_disagreement_score":0.3455997,"about_ca_system_score_codex":0.00007577439,"about_ca_system_score_gemma":0.000054286083,"threshold_uncertainty_score":0.9989007},"labels":[],"label_agreement":null},{"id":"W7099247512","doi":"","title":"Perceived Neighbourhood Correlates of Walking Among Participants Visiting the Canada on the Move Website","year":2014,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Neighbourhood (mathematics); Perception; Physical activity; Built environment; Level design; Logistic regression","score_opus":0.0181736905922931,"score_gpt":0.2560657812087066,"score_spread":0.2378920906164135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7099247512","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91784966,0.000011799879,0.00003021569,0.0015809734,0.00014925079,0.00014418393,0.0000021743083,0.000021834374,0.08020989],"genre_scores_gemma":[0.9986732,0.0000023734585,0.00000588807,0.0004896552,0.00011196721,0.000005072208,9.04995e-7,0.000005619622,0.0007053299],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99867797,0.00022868658,0.00021767046,0.00015431097,0.00038592148,0.00033541222],"domain_scores_gemma":[0.9986506,0.0008801364,0.00011844043,0.00022030713,0.000060198803,0.00007030037],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010686831,0.000085221145,0.00012694878,0.000010097503,0.00071246014,0.000056669345,0.00036635544,0.00004087821,0.00096074125],"category_scores_gemma":[0.00032335168,0.00004275257,0.000056203527,0.00015369372,0.000263827,0.00010619501,0.000019171724,0.00015512793,0.0000055461355],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000050218273,0.000014579524,0.9813273,0.0000030548497,0.000014026345,5.7804783e-7,0.006765124,0.000028998029,0.000072398296,0.01004599,0.00016173131,0.0015612317],"study_design_scores_gemma":[0.00006493784,0.00000890488,0.989319,0.000021032309,0.000018403878,1.4886977e-8,0.0077152243,0.0010611609,0.0002248858,0.0012869417,0.00020999069,0.00006950341],"about_ca_topic_score_codex":0.7545542,"about_ca_topic_score_gemma":0.92980665,"teacher_disagreement_score":0.17525241,"about_ca_system_score_codex":0.000048082456,"about_ca_system_score_gemma":0.0001667311,"threshold_uncertainty_score":0.9999525},"labels":[],"label_agreement":null},{"id":"W7099262633","doi":"","title":"www.mdpi.com/journal/ijerph Sport Fields as Potential Catalysts for Physical Activity in the","year":2012,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Respondent; Physical activity; Recreation; Sample (material); Logistic regression; Psychological intervention; Perception; Educational attainment; Physical fitness","score_opus":0.026470565778840268,"score_gpt":0.3413381594207549,"score_spread":0.31486759364191463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7099262633","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9764557,0.00003235097,0.00061239273,0.0032157283,0.00039486922,0.0002801572,0.000003270823,0.000022648459,0.018982865],"genre_scores_gemma":[0.9965509,0.000005456238,0.00004034342,0.0002107265,0.0012364935,0.000015954427,0.000004444976,0.0000049602672,0.0019307031],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99893516,0.000055298962,0.0001257739,0.00013409983,0.00034539853,0.00040427022],"domain_scores_gemma":[0.99952924,0.00008479774,0.000067184534,0.00016080656,0.000041123945,0.00011686696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011943058,0.00008981394,0.00015212451,0.000028447803,0.00039406735,0.00008088184,0.00035583635,0.00008791908,0.00015693485],"category_scores_gemma":[0.000037551345,0.000057104433,0.00017049006,0.00016808383,0.00012176589,0.00068521634,0.0000134135735,0.00023429788,0.000028535023],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032430398,0.0030369696,0.89219975,0.000038385093,0.000059222482,0.00003416183,0.036700748,0.0000062434115,0.0002758015,0.018281354,0.015383045,0.033659987],"study_design_scores_gemma":[0.0008486477,0.0001125262,0.93314654,0.000012898905,0.00010931202,0.00000555844,0.0068492787,0.00008913815,0.0022099102,0.011661968,0.04454975,0.00040445922],"about_ca_topic_score_codex":0.0031923722,"about_ca_topic_score_gemma":0.0030584037,"teacher_disagreement_score":0.040946774,"about_ca_system_score_codex":0.000041708303,"about_ca_system_score_gemma":0.00011905889,"threshold_uncertainty_score":0.4825933},"labels":[],"label_agreement":null},{"id":"W7099747634","doi":"","title":"www.mdpi.com/journal/ijerph Article A Multilevel Analysis of Neighbourhood Built and Social Environments and Adult Self-Reported Physical Activity and Body Mass Index in Ottawa, Canada","year":2011,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Neighbourhood (mathematics); Multilevel model; Physical activity; Body mass index; Built environment; Multilevel modelling; Obesity","score_opus":0.017932311268620337,"score_gpt":0.2622423615345968,"score_spread":0.24431005026597646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7099747634","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99859434,0.000014007592,0.00020018933,0.00017508298,0.000021789487,0.00014037006,0.000018890165,0.000010959779,0.0008243543],"genre_scores_gemma":[0.99972904,0.000014069846,0.00009494014,0.000041315332,0.000030538144,0.000004033081,0.000001734723,0.000006096738,0.00007821415],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986464,0.000111805704,0.0002834579,0.00029824363,0.00037139675,0.0002887201],"domain_scores_gemma":[0.9993954,0.0000631271,0.0002134327,0.000107859916,0.00003928699,0.00018092076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003479892,0.00013701597,0.00036859376,0.00009213662,0.00025652585,0.000038252747,0.000103430146,0.00008724605,0.00015008938],"category_scores_gemma":[0.000033503937,0.000121322184,0.000057995745,0.0002860921,0.0002851873,0.00037093257,0.00003137215,0.00018285363,1.9222846e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033485965,0.0003329859,0.9906634,0.000008662209,0.00033323406,0.00001819032,0.005301956,8.3547326e-7,0.0010240751,0.00010701602,0.00001142149,0.0021647252],"study_design_scores_gemma":[0.00062319834,0.000018580078,0.99329764,0.0000028616937,0.0003810402,3.462085e-7,0.0013015771,0.0031684106,0.00068547233,0.00035438486,0.000025541445,0.0001409489],"about_ca_topic_score_codex":0.6208363,"about_ca_topic_score_gemma":0.80971414,"teacher_disagreement_score":0.18887782,"about_ca_system_score_codex":0.000100840974,"about_ca_system_score_gemma":0.00020144258,"threshold_uncertainty_score":0.4947375},"labels":[],"label_agreement":null},{"id":"W7100147149","doi":"","title":"AN ASSESSMENT OF THEIR EFFECTIVENESS IN AMELIORATING CONFLICTS BETWEEN THESE TWO MODES. AS MANY CITIES ACROSS THE","year":2013,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Opposition (politics); Transit (satellite); Transportation planning; Argument (complex analysis); Public transport; Transit system; Poison control","score_opus":0.043373290461745005,"score_gpt":0.41635146554927827,"score_spread":0.3729781750875333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7100147149","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96903104,0.00002295401,0.00059150474,0.00018242723,0.00003732198,0.0006068842,0.000010245768,0.000042091822,0.029475551],"genre_scores_gemma":[0.99953127,0.0000041759413,0.00010538576,0.00005561417,0.00007900033,0.00006543239,0.000004529498,0.000007413816,0.00014715474],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984643,0.00046156795,0.00026121762,0.0002140654,0.000289674,0.00030916036],"domain_scores_gemma":[0.9989181,0.0005347585,0.00009979967,0.0002598221,0.00012053202,0.00006697047],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020684823,0.00011275956,0.00023966047,0.000026407228,0.00026409974,0.00015925747,0.00046015542,0.00006457845,0.00025186822],"category_scores_gemma":[0.000029012614,0.00006650169,0.000059405,0.00025604104,0.0005021544,0.0006311152,0.00003248696,0.0001533606,0.0000054410903],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000035098803,0.00004968918,0.9637373,0.000015980724,0.0000113716105,3.8789972e-7,0.022728456,0.000053005897,0.000916187,0.007506737,0.0000016634284,0.004975685],"study_design_scores_gemma":[0.0002284427,0.00003447694,0.9601213,0.00002642824,0.000004764904,1.78732e-8,0.026492426,0.00053570064,0.0030955765,0.009298088,0.00006568754,0.00009710193],"about_ca_topic_score_codex":0.07337474,"about_ca_topic_score_gemma":0.011305419,"teacher_disagreement_score":0.062069323,"about_ca_system_score_codex":0.000056845158,"about_ca_system_score_gemma":0.00011212874,"threshold_uncertainty_score":0.93279576},"labels":[],"label_agreement":null},{"id":"W7100679037","doi":"","title":"Glazier R: Unwalkable neighborhoods, poverty, and the risk of diabetes among recent immigrants to Canada compared with long-term residents. Diabetes Care 2013","year":2016,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Incidence (geometry); Immigration; Walkability; Diabetes mellitus; Poverty; Census; Relative risk","score_opus":0.0069246829562838634,"score_gpt":0.22361236454744116,"score_spread":0.21668768159115728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7100679037","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.993082,0.00087213,0.000010875029,0.0027104164,0.00012777121,0.0005864342,0.00013457397,0.000028241619,0.0024475947],"genre_scores_gemma":[0.998654,0.00031478904,0.00002863338,0.00033056643,0.000049699032,0.000025015092,0.0000071331824,0.000012175591,0.00057800097],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99807334,0.00023985948,0.00030012146,0.00034323044,0.0005569227,0.00048655106],"domain_scores_gemma":[0.9987159,0.0002966966,0.00016154909,0.00035002836,0.00024436763,0.00023147352],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005037289,0.00017506583,0.00035551944,0.00003456019,0.0003981368,0.00006849605,0.00041394288,0.00005838116,0.00037152335],"category_scores_gemma":[0.00008681503,0.00008191507,0.000049260427,0.0002808548,0.0005689134,0.00024641314,0.00005564875,0.00008112051,0.000004180934],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003970274,0.000017930162,0.9929655,0.000023726938,0.00006758364,7.3547073e-7,0.0016192875,0.0000012981181,0.000020006431,0.000021165493,0.002373256,0.0028497875],"study_design_scores_gemma":[0.0010094728,0.000028190441,0.99590236,0.000111001165,0.00008246079,7.57069e-9,0.0011231086,0.0000026190098,0.000975894,0.00013851485,0.0004535039,0.00017287274],"about_ca_topic_score_codex":0.8757741,"about_ca_topic_score_gemma":0.994795,"teacher_disagreement_score":0.119020976,"about_ca_system_score_codex":0.00011894359,"about_ca_system_score_gemma":0.00033516562,"threshold_uncertainty_score":0.406792},"labels":[],"label_agreement":null},{"id":"W7100710235","doi":"","title":"GIS-Based Public Services Analysis Based on Municipal Election Areas: A Methodological Approach for","year":2013,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Distribution (mathematics); Population; Work (physics); Quarter (Canadian coin); Geographic information system; Local election; Municipal services","score_opus":0.13500992656699437,"score_gpt":0.3732769155139345,"score_spread":0.23826698894694012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7100710235","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6345465,0.00001962008,0.31893152,0.0028630279,0.00006910984,0.0010628003,0.000011263484,0.0003234927,0.04217265],"genre_scores_gemma":[0.9673001,6.835289e-7,0.030608548,0.0010495626,0.00009203921,0.0002811079,0.00013943158,0.000006288975,0.00052220566],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99810094,0.0004762592,0.00024080172,0.00042703503,0.00034970426,0.0004052394],"domain_scores_gemma":[0.99872017,0.0005392363,0.00009683909,0.00027859985,0.00019192547,0.00017323963],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0019132353,0.0001316239,0.00028642733,0.0002195415,0.00047062678,0.00022454391,0.00036923893,0.00017583618,0.0016951866],"category_scores_gemma":[0.00015385383,0.00009476504,0.00032707572,0.0013773422,0.00013303844,0.0003094419,0.0000070562464,0.0001097766,0.000009167363],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001418498,0.0010909413,0.9873694,0.000080874255,0.00022313636,3.4957714e-7,0.0009381179,0.0019897253,0.00009172193,0.0024356337,0.0002667475,0.0053715077],"study_design_scores_gemma":[0.0006122711,0.00015479549,0.35993275,0.000003841887,0.0003435738,1.0593823e-8,0.002179248,0.6319374,0.00027844514,0.0017660528,0.0024794557,0.0003122005],"about_ca_topic_score_codex":0.019098593,"about_ca_topic_score_gemma":0.020131784,"teacher_disagreement_score":0.62994766,"about_ca_system_score_codex":0.00005465033,"about_ca_system_score_gemma":0.00009279243,"threshold_uncertainty_score":0.9992174},"labels":[],"label_agreement":null},{"id":"W7101066008","doi":"","title":"10.04 Relating to Riding Bicycles on City Streets and Prohibiting Riding Bicycles on City Sidewalks 9. APPROVE AND/OR AUTHORIZE FOR SIGNATURE","year":2012,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"State (computer science); Front (military); Government (linguistics); Quarter (Canadian coin)","score_opus":0.0699508479618728,"score_gpt":0.3392783074280758,"score_spread":0.269327459466203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7101066008","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9778927,0.00016160923,0.00023552547,0.0008427061,0.00021134461,0.00108365,0.000026941736,0.00021882559,0.019326722],"genre_scores_gemma":[0.9930652,0.000006775094,0.0030923467,0.00022356442,0.00075817434,0.000050659197,0.000007913126,0.000027118973,0.0027682476],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975503,0.00013261562,0.00040295956,0.00065557106,0.00043906714,0.00081949215],"domain_scores_gemma":[0.9973517,0.0017280007,0.00020406685,0.0001967007,0.000089584864,0.0004299187],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021426904,0.00029566317,0.000357016,0.00013341292,0.001156615,0.00018872984,0.00020092928,0.00028943256,0.00034996922],"category_scores_gemma":[0.0023435191,0.0002308915,0.00009878387,0.00027895044,0.00017427122,0.000773453,0.00007681956,0.00036792303,0.00000628509],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00079104345,0.00045053082,0.8699046,0.00035049618,0.00008476933,0.000006958999,0.02557877,0.000020504764,0.009915054,0.02316341,0.0020982297,0.067635626],"study_design_scores_gemma":[0.0048461445,0.0022777535,0.80381614,0.0027879036,0.0004378257,0.0000036174672,0.046503168,0.0027004203,0.07472257,0.014679996,0.042447206,0.004777234],"about_ca_topic_score_codex":0.001035554,"about_ca_topic_score_gemma":0.0019041382,"teacher_disagreement_score":0.066088445,"about_ca_system_score_codex":0.00018706717,"about_ca_system_score_gemma":0.00009522247,"threshold_uncertainty_score":0.9415482},"labels":[],"label_agreement":null},{"id":"W7101160760","doi":"","title":"Original Contribution Association between Neighborhood Active Living Potential and Walking","year":2006,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Census; Association (psychology); Active living; Observational study; Confidence interval; Physical activity","score_opus":0.006925088101766232,"score_gpt":0.26181374882368613,"score_spread":0.2548886607219199,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7101160760","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9747682,0.00003365056,0.0043307184,0.00046768834,0.00012203598,0.000121420235,0.000010801655,0.00008529149,0.020060193],"genre_scores_gemma":[0.99808437,0.000005129042,0.000066484485,0.000018220135,0.00074825954,0.0000023898726,0.000018366143,0.0000031799214,0.0010535973],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990771,0.00009993277,0.00014039666,0.00016277556,0.0002759524,0.00024384221],"domain_scores_gemma":[0.9995301,0.00017522578,0.00010139161,0.000040953728,0.00010459873,0.00004774755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063391816,0.0000624265,0.000108529115,0.000028002545,0.00047701065,0.000114411574,0.00006143244,0.00011913842,0.00025891952],"category_scores_gemma":[0.00010544541,0.00005973223,0.000037141304,0.00013243487,0.000047427366,0.0004840818,0.000009866282,0.000102785605,0.0000071634618],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000031422076,0.000018780298,0.99149954,0.000001579772,0.000012112037,5.951431e-7,0.0003807785,4.1339518e-7,0.00008828899,0.005051226,0.00006706012,0.0028764938],"study_design_scores_gemma":[0.00013878946,0.000008298178,0.9922195,0.000007763937,0.000043258297,2.6823082e-8,0.0003063681,0.000018321058,0.00020178103,0.005762475,0.0012095881,0.00008383167],"about_ca_topic_score_codex":0.006155161,"about_ca_topic_score_gemma":0.003635128,"teacher_disagreement_score":0.023316173,"about_ca_system_score_codex":0.0002262177,"about_ca_system_score_gemma":0.000058616537,"threshold_uncertainty_score":0.93048036},"labels":[],"label_agreement":null},{"id":"W7103267210","doi":"","title":"Individual and socio-environmental determinants of overweight and obesity in Urban Canada","year":2010,"lang":"","type":"article","venue":"Cronfa (Swansea University)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Overweight; Obesity; Population; Public health; Physical activity","score_opus":0.006828625675692743,"score_gpt":0.19671443827079912,"score_spread":0.1898858125951064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7103267210","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99612993,0.00024685738,0.0000016350284,0.000097601434,0.00028168672,0.00025718642,0.00035242137,0.0000074841005,0.0026251897],"genre_scores_gemma":[0.9980796,0.00018104808,0.00003205147,0.00002585004,0.000052513562,1.8490728e-7,0.000008987543,0.000009013831,0.0016107303],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99814284,0.00012986036,0.00028238277,0.00054523506,0.00042800902,0.00047168785],"domain_scores_gemma":[0.99912286,0.00010461148,0.00019965378,0.00022165454,0.000021879687,0.0003293204],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000349475,0.00024023006,0.00039601195,0.00015485109,0.0005973859,0.000050532548,0.00044106747,0.00029326588,0.00041677733],"category_scores_gemma":[0.000016256457,0.0002865738,0.000060953233,0.00032495355,0.0021888886,0.00062187924,0.00018626881,0.00046236816,7.1030297e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005027223,0.00016901639,0.99062866,0.000058012734,0.000020868452,0.00012759693,0.0066902256,1.0228169e-7,0.00027777374,0.000324727,0.00008973023,0.0015630404],"study_design_scores_gemma":[0.00086814235,0.000049670867,0.97719413,0.000028606106,0.00010007616,9.533593e-7,0.010281254,0.000012958532,0.0003531796,0.00010617192,0.010702868,0.00030200358],"about_ca_topic_score_codex":0.38010213,"about_ca_topic_score_gemma":0.90325356,"teacher_disagreement_score":0.5231514,"about_ca_system_score_codex":0.00020514241,"about_ca_system_score_gemma":0.0010264339,"threshold_uncertainty_score":0.99995863},"labels":[],"label_agreement":null},{"id":"W7103326144","doi":"","title":"Neighbourhood built environment characteristics associated\\nwith different types of physical activity in Canadian adults","year":2017,"lang":"en","type":"article","venue":"PubMed Central","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Neighbourhood (mathematics); Built environment; Physical activity; Level design; Built-up area","score_opus":0.01623365109355889,"score_gpt":0.2449966466928132,"score_spread":0.2287629955992543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7103326144","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959158,0.0000097141665,0.00000225927,0.00053263834,0.00027929872,0.0002979112,0.000115520896,0.000010979925,0.0028359138],"genre_scores_gemma":[0.9995435,0.000023402703,0.0000019465385,0.000011218285,0.000245864,0.000024929512,0.000012143796,0.000007414647,0.00012956794],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981407,0.00006805388,0.0001301926,0.00022006308,0.00027991584,0.0011610608],"domain_scores_gemma":[0.9989493,0.00003236493,0.00018095387,0.0002623818,0.0000137491015,0.0005612474],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029054342,0.000115143484,0.00024777124,0.00003460021,0.00029984268,0.00006953606,0.0003830192,0.00009006137,0.0000930244],"category_scores_gemma":[0.00022464542,0.000103079044,0.000077422155,0.00003474596,0.00023193062,0.00022289676,0.00002480626,0.00016712444,0.0000033550514],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027302081,0.00036444658,0.9818066,0.000008959701,0.000015085887,0.0000057887405,0.002009273,9.5040104e-7,0.000016015763,0.00017771185,0.0000056130466,0.015562301],"study_design_scores_gemma":[0.0003044996,0.000012966573,0.9987847,0.000016666927,0.000017586568,1.3047573e-8,0.0000674358,0.00010325434,0.00024782485,0.0001046989,0.00022570073,0.00011464394],"about_ca_topic_score_codex":0.6207285,"about_ca_topic_score_gemma":0.9061689,"teacher_disagreement_score":0.2854404,"about_ca_system_score_codex":0.00072407094,"about_ca_system_score_gemma":0.0002914513,"threshold_uncertainty_score":0.42034414},"labels":[],"label_agreement":null},{"id":"W7104248803","doi":"10.71781/3129","title":"L’acceptabilité de projets d’urbanisme durable de la part d’habitants de banlieues de première couronne de la région de Montréal","year":2024,"lang":"fr","type":"dissertation","venue":"Open MIND","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Université de Montréal","keywords":"Limiting; Statistical analysis; Research methodology","score_opus":0.018090334671678133,"score_gpt":0.32188153890891985,"score_spread":0.3037912042372417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7104248803","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9356119,0.0031633994,0.00014046724,0.0007744969,0.00040046446,0.0012941171,0.00019541092,0.000034433062,0.05838531],"genre_scores_gemma":[0.96,0.00052988465,0.0077248905,0.0000729577,0.0005355492,0.00029184917,0.0002615299,0.00010261167,0.030480742],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9938203,0.0018341236,0.0008439949,0.0011763552,0.000574394,0.0017508393],"domain_scores_gemma":[0.9973939,0.00088185933,0.00039512952,0.0005112,0.00015632475,0.00066156336],"candidate_categories":["metaepi_narrow","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006531602,0.00064763665,0.00074581744,0.00010838136,0.0009413315,0.0012862895,0.0016673272,0.0014963988,0.002848449],"category_scores_gemma":[0.0006044064,0.00067204336,0.00035901828,0.00058539386,0.00074923097,0.00085727894,0.00011617979,0.0012473732,0.00016582868],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003475652,0.00085930945,0.85697407,0.000535317,0.00017998829,0.00044258052,0.10806518,0.00017916494,0.0052597816,0.0008974129,0.0018743477,0.02438531],"study_design_scores_gemma":[0.001206518,0.00023177377,0.81440187,0.0017563087,0.0012341612,0.00006555947,0.0504128,0.0027948394,0.019567335,0.020612175,0.08615495,0.0015616828],"about_ca_topic_score_codex":0.04127189,"about_ca_topic_score_gemma":0.11798409,"teacher_disagreement_score":0.08428061,"about_ca_system_score_codex":0.0021700384,"about_ca_system_score_gemma":0.005705703,"threshold_uncertainty_score":0.99993104},"labels":[],"label_agreement":null},{"id":"W7104254521","doi":"10.71781/2783","title":"La transformation des centres commerciaux dans la région de Montréal : le rôle du transport collectif","year":2022,"lang":"fr","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transport infrastructure; Rail transportation; Context (archaeology); Pilotage","score_opus":0.006767493948298645,"score_gpt":0.19500582024865556,"score_spread":0.18823832630035692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7104254521","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.875571,0.007181689,0.00084345945,0.00085017615,0.0006843172,0.0005607156,0.00022124937,0.00016926386,0.1139181],"genre_scores_gemma":[0.9690169,0.00162466,0.00021172041,0.0000416624,0.00014102538,0.000064944776,0.0011438165,0.000042137108,0.0277131],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9960371,0.00089958834,0.00065883435,0.0006729686,0.0010210053,0.0007104578],"domain_scores_gemma":[0.99832267,0.00026942205,0.0004196843,0.00029280267,0.00024111925,0.0004542765],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0008049603,0.00054038456,0.0005455949,0.00027255548,0.021228686,0.00009648696,0.0007080145,0.0006948527,0.00027659134],"category_scores_gemma":[0.000033512875,0.00067189615,0.0006343518,0.00093175896,0.0013210895,0.0011929844,0.000041875486,0.00081262196,0.000012731189],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012297572,0.0009865981,0.40956992,0.00032495323,0.0003142183,0.0016054858,0.52688557,0.004373837,0.002101729,0.047441106,0.0002872255,0.0048795957],"study_design_scores_gemma":[0.0014475997,0.00009168115,0.49626738,0.00017256044,0.0005798631,0.000167346,0.35588458,0.00084151275,0.0018409571,0.0010161938,0.1410106,0.00067973416],"about_ca_topic_score_codex":0.5814034,"about_ca_topic_score_gemma":0.5862296,"teacher_disagreement_score":0.17100099,"about_ca_system_score_codex":0.010138019,"about_ca_system_score_gemma":0.0047154287,"threshold_uncertainty_score":0.99957323},"labels":[],"label_agreement":null},{"id":"W7104261728","doi":"10.71781/2678","title":"Les enjeux de la marche en banlieue dans un contexte de vieillissement : proposition d’une stratégie pour rendre des environnements de faible densité plus favorables à la marche pour les personnes âgées","year":2020,"lang":"fr","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Nursing homes; Research methodology","score_opus":0.015583965730435332,"score_gpt":0.23085917876453352,"score_spread":0.2152752130340982,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7104261728","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95988005,0.0099459775,0.0075205225,0.0020099056,0.00021098755,0.0007137433,0.000219806,0.00016422708,0.01933477],"genre_scores_gemma":[0.97704643,0.002372626,0.008003237,0.000072863026,0.000370465,0.00006669172,0.0005994004,0.00006129957,0.011406961],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99456483,0.0018295739,0.00063231325,0.0010114969,0.000966333,0.0009954659],"domain_scores_gemma":[0.99756247,0.00062515016,0.00054731994,0.00033381273,0.0002928735,0.00063836836],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0010515496,0.00074120006,0.00064695947,0.00019896531,0.011416865,0.00025313662,0.0008984661,0.0009855863,0.00026286804],"category_scores_gemma":[0.00020290085,0.00084263604,0.0005239708,0.00051354064,0.0018114278,0.0006930977,0.00014538858,0.0009776399,0.000021690095],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011686684,0.0008504269,0.4283939,0.0010499137,0.0007604827,0.0025391884,0.42437223,0.0025095583,0.099064805,0.022787647,0.00018430575,0.016318893],"study_design_scores_gemma":[0.0014179702,0.0001237746,0.5984637,0.0008107264,0.0008787621,0.00015381647,0.36841205,0.0016296738,0.01785325,0.0035925996,0.005843366,0.0008202989],"about_ca_topic_score_codex":0.30280483,"about_ca_topic_score_gemma":0.10945739,"teacher_disagreement_score":0.19334744,"about_ca_system_score_codex":0.010644849,"about_ca_system_score_gemma":0.0049307467,"threshold_uncertainty_score":0.99940246},"labels":[],"label_agreement":null},{"id":"W7104286074","doi":"10.71781/2796","title":"Le vélo au féminin : déterminants et pratiques cyclistes dans les perspectives des femmes de Montréal et de Belo Horizonte","year":2024,"lang":"fr","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Gender relations; Research methodology; ESPACE","score_opus":0.012156518019221182,"score_gpt":0.25203709336195557,"score_spread":0.23988057534273438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7104286074","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8611704,0.04001971,0.00044715076,0.0017136034,0.0006878467,0.0004296155,0.00018151091,0.00023054404,0.09511958],"genre_scores_gemma":[0.9338636,0.0030262424,0.001398699,0.000067013876,0.00034498164,0.000055429005,0.00025362952,0.00005666143,0.06093374],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9958319,0.00076925603,0.0005974561,0.0010830228,0.0007929189,0.0009254557],"domain_scores_gemma":[0.9979598,0.000317092,0.0004611641,0.00036759648,0.00038052013,0.00051386084],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0009044995,0.00069049315,0.00063195836,0.00028490866,0.010829111,0.00028732826,0.00076641294,0.00080208364,0.00003537196],"category_scores_gemma":[0.00018346554,0.0007762756,0.0006101406,0.0005661086,0.0017707875,0.0013622177,0.00014012618,0.00090063235,0.00002263186],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.00031573346,0.0004188379,0.29808447,0.00029656445,0.0003114259,0.0014565841,0.54378563,0.00024385816,0.005820303,0.14745359,0.00017050565,0.0016424939],"study_design_scores_gemma":[0.00043128539,0.00013855394,0.52305406,0.0006908094,0.00046886725,0.000089073386,0.45842478,0.00028454541,0.004394055,0.0030175226,0.008353728,0.00065269676],"about_ca_topic_score_codex":0.7338237,"about_ca_topic_score_gemma":0.8645763,"teacher_disagreement_score":0.22496961,"about_ca_system_score_codex":0.011308436,"about_ca_system_score_gemma":0.014056492,"threshold_uncertainty_score":0.9994688},"labels":[],"label_agreement":null},{"id":"W7104289114","doi":"10.71781/2782","title":"L'influence de l'hiver sur la pratique de la marche des aînés : le cas de Victoriaville","year":2024,"lang":"fr","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Poison control; Audit trail; General interest","score_opus":0.0058663228482564835,"score_gpt":0.21770563960185185,"score_spread":0.21183931675359538,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7104289114","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9048576,0.012391418,0.0003838952,0.00041514664,0.00046684933,0.0003286599,0.00007244931,0.00016101422,0.080923],"genre_scores_gemma":[0.92707837,0.0011507072,0.0010459156,0.00007424286,0.0003101928,0.000038794253,0.00011725551,0.000039048777,0.07014547],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9964692,0.00089680305,0.0004240933,0.00074663066,0.00066009513,0.00080315553],"domain_scores_gemma":[0.9978675,0.000649702,0.0002767405,0.00030685283,0.00033346657,0.0005656974],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0011535201,0.00047530397,0.0004097248,0.00019447238,0.0071138656,0.00022829433,0.0007155875,0.0010356368,0.00008307925],"category_scores_gemma":[0.0002435224,0.0005592619,0.00041383816,0.0006379221,0.0017326222,0.00095996726,0.00010380958,0.0010096137,0.0000430962],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.00046111515,0.00044366767,0.54735935,0.0006746282,0.0003721315,0.0055220816,0.32368934,0.004426674,0.01693144,0.097655624,0.000748014,0.0017159167],"study_design_scores_gemma":[0.0006679474,0.000060342838,0.8070198,0.0006743465,0.00056705374,0.00025271595,0.047627144,0.0009880967,0.0072957524,0.0086028455,0.12544231,0.00080162997],"about_ca_topic_score_codex":0.46705008,"about_ca_topic_score_gemma":0.20987642,"teacher_disagreement_score":0.27606222,"about_ca_system_score_codex":0.013110493,"about_ca_system_score_gemma":0.016243437,"threshold_uncertainty_score":0.9996859},"labels":[],"label_agreement":null},{"id":"W7104290898","doi":"10.71781/3143","title":"Les mobilités cyclistes et leurs liens avec les préférences résidentielles des ménages : Le cas de travailleurs métropolitains de la région de Montréal","year":2022,"lang":"fr","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Population; Context (archaeology); Rail transportation; Public work","score_opus":0.01892735232024105,"score_gpt":0.2511401777404326,"score_spread":0.23221282542019156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7104290898","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91908187,0.044910714,0.00045549002,0.0007502919,0.00060924375,0.0005041015,0.00018644317,0.00022129883,0.033280578],"genre_scores_gemma":[0.9498619,0.0047691194,0.0010493266,0.000067683366,0.00022532717,0.00008771419,0.00036466983,0.00005782286,0.043516442],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99416625,0.0017771007,0.0007259623,0.0010698688,0.001082225,0.0011786035],"domain_scores_gemma":[0.9972491,0.000762476,0.0006286281,0.00043394158,0.0002877679,0.0006380694],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0013769463,0.0007292646,0.0006768798,0.00038154257,0.019606737,0.00027817008,0.0010893581,0.00084377156,0.00024247066],"category_scores_gemma":[0.00025875663,0.0008613032,0.000767975,0.0007112268,0.0031736214,0.0009625787,0.00017173914,0.0011273037,0.000008245033],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042155565,0.000684989,0.61984485,0.0002848736,0.00030228222,0.0017425853,0.3142931,0.005934442,0.0025636393,0.047530413,0.00025202287,0.006145267],"study_design_scores_gemma":[0.00063958386,0.00013241517,0.6133512,0.00020630372,0.00047430716,0.0002015757,0.36061174,0.0006034279,0.0019550114,0.005012832,0.016096173,0.0007154211],"about_ca_topic_score_codex":0.8380667,"about_ca_topic_score_gemma":0.6041219,"teacher_disagreement_score":0.23394477,"about_ca_system_score_codex":0.012497878,"about_ca_system_score_gemma":0.0055271164,"threshold_uncertainty_score":0.9995392},"labels":[],"label_agreement":null},{"id":"W7104436221","doi":"10.71781/12414","title":"Le « retour » de la bicyclette à Montréal : entre régulation de la mobilité et imaginaires sociaux","year":2025,"lang":"fr","type":"dissertation","venue":"Open MIND","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Lien; ESPACE; Identity (music); Coronation","score_opus":0.016914990602878256,"score_gpt":0.3505942383437341,"score_spread":0.33367924774085583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7104436221","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79288405,0.00082410086,0.00007199114,0.0043396675,0.00018850558,0.00054793863,0.000060700393,0.000007541872,0.20107551],"genre_scores_gemma":[0.97405815,0.00015920616,0.0021290951,0.00016489606,0.0001706931,0.00003957873,0.0004604308,0.000019346511,0.022798596],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968497,0.001268391,0.0004556965,0.0006258888,0.0003397368,0.000460565],"domain_scores_gemma":[0.9986023,0.0005615,0.00030739867,0.00026894477,0.000120017394,0.00013987822],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002328368,0.00030184464,0.0004104746,0.00007727501,0.00071948924,0.0007434261,0.0008239306,0.0006707439,0.0009850968],"category_scores_gemma":[0.00021003949,0.0003388673,0.00022692473,0.00042047328,0.0004098225,0.0007561746,0.000050927996,0.0005569953,0.00004438633],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026189155,0.0009051255,0.58943325,0.0001404363,0.00015760383,0.00008164697,0.1162545,0.0003225904,0.0020301705,0.008973956,0.0027320357,0.2787068],"study_design_scores_gemma":[0.00060207973,0.000022404853,0.9198411,0.00031964557,0.00023033647,6.8956876e-7,0.015990604,0.00043265574,0.0017699419,0.018936638,0.04142923,0.00042464488],"about_ca_topic_score_codex":0.10578735,"about_ca_topic_score_gemma":0.11612845,"teacher_disagreement_score":0.33040786,"about_ca_system_score_codex":0.00032244934,"about_ca_system_score_gemma":0.0036921543,"threshold_uncertainty_score":0.9999281},"labels":[],"label_agreement":null},{"id":"W7105547223","doi":"10.60918/16164","title":"Household mobility and house values : an action-based approach to modelling accessibility to urban services","year":2005,"lang":"","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"TRIPS architecture; Service (business); Perception; Willingness to pay; Centrality; Bridge (graph theory); Homogeneous; Hedonic pricing","score_opus":0.07607688115877935,"score_gpt":0.3196211335792587,"score_spread":0.24354425242047933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7105547223","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94954526,0.00026079646,0.041831728,0.000985759,0.00031268352,0.002477681,0.00010642563,0.0008747899,0.003604855],"genre_scores_gemma":[0.9787853,0.00002954715,0.01713438,0.0021242946,0.0010100038,0.00013103301,0.00001874508,0.000092515766,0.00067420147],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9923269,0.0005977315,0.0013606179,0.0029965464,0.0013189869,0.0013992004],"domain_scores_gemma":[0.995197,0.00021896228,0.00027961115,0.001750757,0.00038164415,0.0021720175],"candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0035576522,0.0008170863,0.00094076863,0.00028533576,0.0018333975,0.0012914317,0.0016265295,0.00055071013,0.00035286907],"category_scores_gemma":[0.000040801144,0.0007691309,0.0002825746,0.0016885806,0.0005621516,0.0036902875,0.00019194838,0.00055183365,0.00003977617],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006496705,0.005689067,0.7452596,0.00070324703,0.00006283601,0.0000012201875,0.044352368,0.19302952,0.0002040191,0.00024296856,0.00017144048,0.009634037],"study_design_scores_gemma":[0.0014633491,0.00054294843,0.47337955,0.00015081467,0.00035881874,3.4296403e-7,0.017456077,0.4952002,0.003064022,0.0015394273,0.004200431,0.0026440148],"about_ca_topic_score_codex":0.023241965,"about_ca_topic_score_gemma":0.023831997,"teacher_disagreement_score":0.30217066,"about_ca_system_score_codex":0.00047871732,"about_ca_system_score_gemma":0.00049572147,"threshold_uncertainty_score":0.9997453},"labels":[],"label_agreement":null},{"id":"W7105996175","doi":"10.7939/83053","title":"Dynamic Optimization for Smart Bike-Sharing: Demand-Driven Rebalancing","year":2025,"lang":"en","type":"dissertation","venue":"University of Alberta Library","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Scheduling (production processes); TRIPS architecture; Software deployment; Pickup; Key (lock); Integer programming; Dynamic programming; Decomposition; Heuristic","score_opus":0.009073164348320345,"score_gpt":0.2315090997375172,"score_spread":0.22243593538919687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7105996175","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6980972,0.00028156824,0.0025005175,0.0010273985,0.0009787945,0.0011900018,0.00007166729,0.00017379355,0.29567903],"genre_scores_gemma":[0.44627634,0.00042890452,0.009558264,0.000056719884,0.00006962503,0.0000015414947,0.008537489,0.000033411125,0.5350377],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990554,0.00003682998,0.00017982998,0.00036798717,0.00015797708,0.00020196807],"domain_scores_gemma":[0.9992427,0.00017548732,0.00023402802,0.00020230366,0.0000707553,0.00007468702],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008141203,0.00014375932,0.0002838162,0.00018973548,0.00046069748,0.000041519583,0.00058321113,0.00032965236,0.0008402289],"category_scores_gemma":[0.0000421247,0.00018523126,0.00019946415,0.00029918918,0.00007116128,0.00084039377,0.00003340983,0.0001290924,0.0000025990164],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026842053,0.0006841196,0.7635061,0.0053464067,0.00090570643,0.000024756797,0.16726786,0.008021501,0.00006808317,0.025939811,0.0204344,0.0051170494],"study_design_scores_gemma":[0.008129075,0.00044708123,0.31088853,0.007306292,0.0036779307,3.2560152e-7,0.12501895,0.1704502,0.00079519814,0.016645234,0.3518007,0.004840484],"about_ca_topic_score_codex":0.0067949896,"about_ca_topic_score_gemma":0.048726898,"teacher_disagreement_score":0.4526176,"about_ca_system_score_codex":0.000052165462,"about_ca_system_score_gemma":0.00053535134,"threshold_uncertainty_score":0.99981886},"labels":[],"label_agreement":null},{"id":"W7106098994","doi":"10.60918/16086","title":"Modelling accessibility to urban services using fuzzy logic : a comparative analysis of two methods","year":2003,"lang":"","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"TRIPS architecture; Fuzzy logic; Bridge (graph theory); Order (exchange); Service (business); Perception; Public transport; Level of service","score_opus":0.17442888447241953,"score_gpt":0.4638700914442542,"score_spread":0.2894412069718346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7106098994","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65027654,0.0007701858,0.31236613,0.00003508611,0.00023308046,0.0005938998,0.00003633982,0.000042504238,0.03564622],"genre_scores_gemma":[0.81863856,0.000017553895,0.18081562,0.0001628296,0.000060256338,0.000008934728,0.000009336969,0.000011167983,0.00027573048],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99196005,0.0026071654,0.0019190698,0.0015974801,0.00093111803,0.0009851402],"domain_scores_gemma":[0.9960745,0.00056595035,0.00086225127,0.0010214814,0.0008698118,0.000606029],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0062467973,0.00058324856,0.0021413257,0.0006881429,0.00089067436,0.0002986759,0.001179316,0.00028584423,0.0032191125],"category_scores_gemma":[0.000051212475,0.0005162179,0.0009750474,0.010949455,0.00066768064,0.001234445,0.00011576094,0.00034546937,0.00000933193],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009427616,0.00076600263,0.5655682,0.00016084708,0.0017612786,0.0000018586207,0.059993245,0.3548615,0.00078635564,0.015659984,0.0000033090535,0.00034311163],"study_design_scores_gemma":[0.000713019,0.00012303394,0.030566199,0.00010272961,0.008951851,1.0538234e-7,0.031141602,0.8879663,0.0060952865,0.032690708,0.00036951032,0.0012797089],"about_ca_topic_score_codex":0.029401828,"about_ca_topic_score_gemma":0.01436855,"teacher_disagreement_score":0.53500205,"about_ca_system_score_codex":0.00028598146,"about_ca_system_score_gemma":0.0004817702,"threshold_uncertainty_score":0.9997289},"labels":[],"label_agreement":null},{"id":"W7106155417","doi":"10.1016/j.jth.2025.102220","title":"Exploring cycling, wellbeing, and grassroots possibilities for (forced) migrant women","year":2025,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Deutsche Forschungsgemeinschaft","keywords":"Grassroots; Equity (law); Action (physics); Intersectionality; Cycling; Solidarity; Psychosocial","score_opus":0.06675347534018224,"score_gpt":0.3465545037040864,"score_spread":0.2798010283639042,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7106155417","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9906568,0.0017229901,0.0017596516,0.0041645984,0.0007993956,0.0003823763,0.000015029974,0.00003196144,0.00046720266],"genre_scores_gemma":[0.99599165,0.0015425427,0.0010100745,0.00043031448,0.00027625842,0.00002156064,0.0000028551028,0.000011764773,0.0007129882],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99774283,0.000076174925,0.0009997311,0.00022876814,0.0003638501,0.0005886451],"domain_scores_gemma":[0.99874926,0.00016269014,0.00040892148,0.00013982097,0.00019372128,0.00034559655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031112889,0.00015363975,0.0005420439,0.00021894158,0.0006367158,0.000045683002,0.00026929486,0.00007487432,0.000036510864],"category_scores_gemma":[0.00005952,0.00013394067,0.00020981785,0.00026811424,0.00021927882,0.00067473575,0.0000045909364,0.00026776336,2.3256382e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041802236,0.00019452977,0.8918144,0.00091285724,0.00009959574,0.000013064533,0.08544835,0.000016650074,0.00006460265,0.004599853,0.00029193703,0.01612611],"study_design_scores_gemma":[0.0016634538,0.00043006963,0.8985333,0.0006182862,0.000069882866,0.0000013846467,0.02131563,0.000009452599,0.00011142679,0.02082019,0.056180682,0.00024624262],"about_ca_topic_score_codex":0.0028860895,"about_ca_topic_score_gemma":0.0047270264,"teacher_disagreement_score":0.06413272,"about_ca_system_score_codex":0.00026800588,"about_ca_system_score_gemma":0.0011718851,"threshold_uncertainty_score":0.5461942},"labels":[],"label_agreement":null},{"id":"W7106206833","doi":"","title":"Perceived Transit-Induced Gentrification, Walkability, and Crime: An Examination of the Purple Line Light Rail Transit in Prince George's County, Maryland.","year":2025,"lang":"en","type":"article","venue":"PubMed","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Walkability; Gentrification; Public transport; Purchasing; Transit-oriented development; Perception; Anticipation (artificial intelligence); Built environment; Transit (satellite)","score_opus":0.022484314312027215,"score_gpt":0.267359342659071,"score_spread":0.2448750283470438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7106206833","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9874792,0.0001379348,0.000103832404,0.0067481278,0.00015639863,0.00135414,0.000016606966,0.00003391071,0.003969853],"genre_scores_gemma":[0.9985622,0.00004448345,0.00001656585,0.00009825675,0.00004163347,0.00020556129,0.00001209265,0.000005436979,0.0010137444],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983894,0.00032656107,0.0003703884,0.00033967418,0.000301913,0.00027206916],"domain_scores_gemma":[0.9993398,0.000063504085,0.000080545855,0.0002934945,0.00014369919,0.00007892253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017655126,0.0001076733,0.00019767127,0.000082435334,0.00022691069,0.0000509614,0.00035224424,0.00012790947,0.000027556878],"category_scores_gemma":[0.00012796053,0.00008619322,0.000054254826,0.00057099556,0.00021880692,0.0003576092,0.00001286315,0.00014222904,2.58208e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013111647,0.00085243635,0.8148684,0.00023948081,0.000032755157,0.00000160983,0.028533813,0.000008362535,0.005455408,0.0031303708,0.00006633328,0.14667994],"study_design_scores_gemma":[0.0004748121,0.000006442335,0.99302304,0.000012255154,0.0000324156,5.944427e-8,0.0006242838,0.00002559514,0.0030613896,0.0011131474,0.0015368225,0.00008972194],"about_ca_topic_score_codex":0.0017139479,"about_ca_topic_score_gemma":0.014594989,"teacher_disagreement_score":0.17815468,"about_ca_system_score_codex":0.000099082885,"about_ca_system_score_gemma":0.0001359737,"threshold_uncertainty_score":0.81443465},"labels":[],"label_agreement":null},{"id":"W7106211463","doi":"10.1016/j.urbmob.2025.100170","title":"Exploring sustainable accessibility through multimodal networks: Assessing healthy food access in Montreal","year":2025,"lang":"en","type":"article","venue":"Journal of Urban Mobility","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec; Canada Excellence Research Chairs, Government of Canada","keywords":"Healthy food; Public transport; Psychological intervention; Universal design; Transit-oriented development; Sustainable transport; Active living; Variety (cybernetics); Cycling; Sustainability","score_opus":0.08477558473689902,"score_gpt":0.37513769402611236,"score_spread":0.29036210928921335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7106211463","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98557097,0.0015768167,0.003880131,0.0009880813,0.0009845996,0.00064015546,0.0000035202336,0.000050074334,0.006305633],"genre_scores_gemma":[0.9985409,0.00020448443,0.00038064903,0.0001986154,0.0004709862,0.00003378359,0.0000020611087,0.000012795582,0.0001557485],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9953555,0.0008225375,0.0016334254,0.0005567738,0.0006692131,0.00096257025],"domain_scores_gemma":[0.9971239,0.0006321457,0.0007302765,0.0005223539,0.0007449964,0.0002463444],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0060743345,0.00027451603,0.0007822876,0.00026939725,0.00070489803,0.0006072974,0.0012782855,0.00021792436,0.00008946066],"category_scores_gemma":[0.0010386972,0.00024961893,0.0003362973,0.0017686944,0.00046544793,0.008887041,0.00017732897,0.0009773053,6.4891924e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037321536,0.00093197194,0.9891903,0.0001946121,0.000037926606,0.000035977762,0.003472442,0.0005562698,0.000003508598,0.0006687508,0.00021937978,0.0043156818],"study_design_scores_gemma":[0.0012096866,0.0000953284,0.97712165,0.00014806956,0.000040464034,4.096158e-7,0.007878745,0.00021449414,0.000048844155,0.012073619,0.0009696504,0.00019905991],"about_ca_topic_score_codex":0.015851317,"about_ca_topic_score_gemma":0.019071637,"teacher_disagreement_score":0.012969888,"about_ca_system_score_codex":0.0013583907,"about_ca_system_score_gemma":0.0015305406,"threshold_uncertainty_score":0.9999956},"labels":[],"label_agreement":null},{"id":"W7108205357","doi":"10.36939/cjur/vol30no1/art280","title":"Do Neighbourhood Environmental Perceptions Affect Practices?","year":2021,"lang":"","type":"article","venue":"Canadian journal of urban research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Western University; Dalhousie University; Memorial University of Newfoundland","funders":"","keywords":"Neighbourhood (mathematics); Perception; Affect (linguistics); Sustainability; Environmental change; Survey data collection","score_opus":0.1006371506788253,"score_gpt":0.40004362399468163,"score_spread":0.29940647331585635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7108205357","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9412347,0.01826799,0.00001533534,0.005487853,0.0012924692,0.00031831523,0.0001974046,0.000004273073,0.033181638],"genre_scores_gemma":[0.99079394,0.0013349148,0.000104367224,0.000090072324,0.0020727802,0.000004027344,0.000013331343,0.000037239723,0.0055493168],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9909785,0.0035913223,0.00091563415,0.00059174915,0.0021541335,0.00176867],"domain_scores_gemma":[0.9927076,0.0010488955,0.000773524,0.00061477907,0.00089302653,0.0039621657],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.009392985,0.00027520943,0.0005395977,0.00074437424,0.0027610257,0.0013930734,0.0013533623,0.00040645886,0.059603587],"category_scores_gemma":[0.0028611622,0.0002856971,0.000529449,0.0016109804,0.0023073654,0.0014886407,0.000060420527,0.0030200833,0.00038707507],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055700177,0.0002996543,0.96107894,0.00006964831,0.00017684781,0.003187859,0.013840714,0.000003889854,0.0010029323,0.00064907665,0.014958696,0.0046760235],"study_design_scores_gemma":[0.0007694289,0.0003808827,0.867584,0.0002993722,0.00014041814,0.000092288305,0.043364696,0.0000097981065,0.00020805106,0.0013223003,0.08546456,0.0003642037],"about_ca_topic_score_codex":0.025994444,"about_ca_topic_score_gemma":0.18705365,"teacher_disagreement_score":0.16105922,"about_ca_system_score_codex":0.0019636839,"about_ca_system_score_gemma":0.02403901,"threshold_uncertainty_score":0.9999595},"labels":[],"label_agreement":null},{"id":"W7109044871","doi":"10.1016/j.cities.2025.106703","title":"Pedal preferences: GPS-based panel data insights into bike share traffic flow across membership groups","year":2025,"lang":"en","type":"article","venue":"Cities","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Panel data; Traffic flow (computer networking); Flow (mathematics); Data collection","score_opus":0.12114722118878782,"score_gpt":0.35256384464506574,"score_spread":0.23141662345627792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7109044871","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9865609,0.0010975613,0.00011418624,0.0005924681,0.00065820967,0.0002520213,0.00023269664,0.00024899773,0.010242988],"genre_scores_gemma":[0.9962974,0.000036176596,0.00015661716,0.00027738386,0.00024223761,0.000028011356,0.00053625664,0.000009235044,0.0024166375],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99818605,0.0001403672,0.00029790535,0.00055223366,0.00039882056,0.0004246099],"domain_scores_gemma":[0.9988191,0.00022489058,0.00007087644,0.00066394435,0.000110219335,0.000110941815],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048294052,0.00018268211,0.00025346517,0.00007065077,0.0010484882,0.00030587072,0.0013991346,0.00013079641,0.0007602058],"category_scores_gemma":[0.0001515908,0.00016102586,0.0000774141,0.00047278265,0.000786442,0.00075711065,0.00010421296,0.00021175374,0.000023010354],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038222576,0.00074365997,0.49310428,0.0018247439,0.00024362057,0.00007560067,0.3898776,0.00051933643,0.000056903493,0.0115493685,0.016912825,0.084709845],"study_design_scores_gemma":[0.0032206792,0.0001789144,0.39356172,0.0011700718,0.0003165965,3.053538e-7,0.29665232,0.00955801,0.00084912713,0.06267164,0.22950532,0.0023153115],"about_ca_topic_score_codex":0.0026240968,"about_ca_topic_score_gemma":0.11603472,"teacher_disagreement_score":0.21259248,"about_ca_system_score_codex":0.00007894281,"about_ca_system_score_gemma":0.0005633693,"threshold_uncertainty_score":0.90009534},"labels":[],"label_agreement":null},{"id":"W7110574093","doi":"","title":"Not applicable","year":2017,"lang":"en","type":"dissertation","venue":"Mspace (University of Manitoba)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Winnipeg; University of Manitoba","funders":"","keywords":"Public transport; Inclusion (mineral); Indigenous; Transit (satellite); Transit system; Public policy","score_opus":0.02418492201938802,"score_gpt":0.2588407841800113,"score_spread":0.23465586216062326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7110574093","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6592662,0.0000769494,0.000026578897,0.0005032582,0.00038723575,0.00023216223,0.000027210586,0.00005752238,0.3394229],"genre_scores_gemma":[0.9054623,0.00014671954,0.00016041844,0.000009153117,0.00014641946,3.0692215e-7,0.00015145079,0.0000113674005,0.093911834],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99896574,0.000039425966,0.000070442235,0.0002958889,0.0003985477,0.00022998292],"domain_scores_gemma":[0.9990189,0.000027414037,0.00032858117,0.00038033535,0.00014795296,0.00009679756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002591185,0.00012642016,0.00028358694,0.00008014748,0.0012003153,0.000047041143,0.0008888382,0.00032597352,0.00016443817],"category_scores_gemma":[0.000022239898,0.00017320183,0.00016825082,0.00008769068,0.0002680091,0.00031665055,0.000017968232,0.00021197736,0.000099334364],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00059586985,0.00034951454,0.91679704,0.0008028279,0.0002270329,0.0001072707,0.01597895,0.0000031666045,0.00074228225,0.008313157,0.031846464,0.0242364],"study_design_scores_gemma":[0.00019672955,0.000013483791,0.75775087,0.00006663422,0.00010027467,2.309594e-8,0.045682553,0.0000022860115,0.00014628154,0.00042736827,0.19540958,0.00020393504],"about_ca_topic_score_codex":0.08257316,"about_ca_topic_score_gemma":0.967483,"teacher_disagreement_score":0.8849098,"about_ca_system_score_codex":0.00009050102,"about_ca_system_score_gemma":0.00026391022,"threshold_uncertainty_score":0.92353606},"labels":[],"label_agreement":null},{"id":"W7111745527","doi":"","title":"Drivers' Perceptions Towards Cyclists and Bikeshare Users in the ECOBICI Service Area","year":2019,"lang":"en","type":"dissertation","venue":"DigiNole (Florida State University)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"SAFER; Overtaking; Perception; Cycling; Data collection; Control (management); Service (business); Investment (military); Public transport","score_opus":0.017398165303436713,"score_gpt":0.25302181852888267,"score_spread":0.23562365322544596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7111745527","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91719747,0.000040122988,0.0000058870087,0.0002815872,0.0004661954,0.00058109034,0.00029835934,0.00006660414,0.08106269],"genre_scores_gemma":[0.97623956,0.0004979947,0.000009923712,0.00012318735,0.00005825862,0.0000033332879,0.0012501586,0.000016738655,0.021800827],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983906,0.00012707834,0.00017633934,0.000500875,0.00040612294,0.0003989563],"domain_scores_gemma":[0.9991775,0.00007721948,0.00014463926,0.00029934166,0.00018760648,0.00011367428],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00018191081,0.00025664497,0.0002825851,0.00038223076,0.00050826627,0.00018537925,0.0007545426,0.00023642396,0.00024943115],"category_scores_gemma":[0.000014816027,0.00024746906,0.000115064664,0.0010101668,0.00012744468,0.00076063426,0.000030988034,0.00042503493,0.00004076255],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002843368,0.0002027774,0.6999686,0.000480924,0.00011783533,0.00024892765,0.2881834,0.00009017039,0.000060196635,0.0028901184,0.001238103,0.0062346645],"study_design_scores_gemma":[0.0005455481,0.000018729348,0.7383584,0.00013809712,0.00010281662,1.8815935e-7,0.17090032,0.000024868592,0.000010697335,0.00017476865,0.0892891,0.00043651828],"about_ca_topic_score_codex":0.012866391,"about_ca_topic_score_gemma":0.17337076,"teacher_disagreement_score":0.16050437,"about_ca_system_score_codex":0.0002517455,"about_ca_system_score_gemma":0.00045230123,"threshold_uncertainty_score":0.99999774},"labels":[],"label_agreement":null},{"id":"W7112251892","doi":"","title":"Estudi i propostes de millora de la xarxa de bicicleta del municipi d'Eivissa","year":2022,"lang":"es","type":"dissertation","venue":"UPCommons institutional repository (Universitat Politècnica de Catalunya)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Nova scotia; Competition (biology)","score_opus":0.011089630409844398,"score_gpt":0.29570264418855013,"score_spread":0.28461301377870574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7112251892","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8528806,0.0019029031,0.00015759487,0.0009298147,0.0008429721,0.0006781604,0.0004276787,0.0002630508,0.14191726],"genre_scores_gemma":[0.9852597,0.00046815185,0.0011734546,0.00028054725,0.00050220214,0.000085998865,0.0013759536,0.00007660967,0.01077737],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99331695,0.0016759244,0.00079519686,0.001203513,0.0013362203,0.0016722078],"domain_scores_gemma":[0.9959481,0.00093199214,0.00069636834,0.0010590671,0.0003829182,0.0009816049],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0021561405,0.00078331114,0.00081904046,0.000601694,0.007456063,0.0004127276,0.0026231955,0.0010090948,0.0004018537],"category_scores_gemma":[0.00044246725,0.0009696555,0.0008352272,0.0012847803,0.0031089736,0.0011264402,0.0003999258,0.0019517619,0.00004444381],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.0011574099,0.0029801445,0.6663542,0.00087894907,0.0014207191,0.003995585,0.064581275,0.0021787276,0.008004014,0.24140704,0.005832118,0.0012098213],"study_design_scores_gemma":[0.0022773317,0.00035796862,0.74562496,0.00070892996,0.00220894,0.00040875777,0.09302895,0.0010351767,0.0020346597,0.0056105284,0.14435025,0.0023535541],"about_ca_topic_score_codex":0.0430629,"about_ca_topic_score_gemma":0.0033300666,"teacher_disagreement_score":0.2357965,"about_ca_system_score_codex":0.0073948633,"about_ca_system_score_gemma":0.01273748,"threshold_uncertainty_score":0.999604},"labels":[],"label_agreement":null},{"id":"W7112420712","doi":"","title":"Utilització de tècniques de data science per a la modelització de la demanda dels serveis de bicicletes en autoservei Bixi de Montreal","year":2017,"lang":"en","type":"dissertation","venue":"UPCommons institutional repository (Universitat Politècnica de Catalunya)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cluster analysis; Government (linguistics); Quality (philosophy); Set (abstract data type); Representation (politics); Hierarchical clustering; Information quality","score_opus":0.022384298583208836,"score_gpt":0.3464616148082563,"score_spread":0.3240773162250475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7112420712","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8327694,0.0008448262,0.0012716152,0.0005237696,0.00028619624,0.00039829826,0.00074376486,0.0003008781,0.16286129],"genre_scores_gemma":[0.9878644,0.00036803365,0.0048155673,0.00014789029,0.00043875197,0.000039640447,0.0010380133,0.00005158555,0.005236116],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9940227,0.0012348564,0.00057112746,0.0013057215,0.0011128784,0.0017527132],"domain_scores_gemma":[0.9951747,0.0008243942,0.00051832304,0.0018278705,0.0004756955,0.0011790076],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.005547044,0.00058722286,0.00062135275,0.00054602,0.006044186,0.00094747636,0.0052734492,0.0011813673,0.000074187985],"category_scores_gemma":[0.0011525871,0.0006971007,0.00039739907,0.0005161043,0.003989134,0.0033716129,0.00040857756,0.0012898304,0.00001020257],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.001022481,0.0016260972,0.6461776,0.00089917623,0.0008348453,0.0028848806,0.08797854,0.0015852797,0.012279035,0.23388802,0.0049481606,0.005875896],"study_design_scores_gemma":[0.0011123455,0.000081463964,0.9118989,0.0007852141,0.00096922176,0.00030501504,0.014202147,0.009597889,0.002524945,0.023418713,0.033570886,0.0015332774],"about_ca_topic_score_codex":0.10819759,"about_ca_topic_score_gemma":0.028681532,"teacher_disagreement_score":0.2657213,"about_ca_system_score_codex":0.0059751496,"about_ca_system_score_gemma":0.02838577,"threshold_uncertainty_score":0.999548},"labels":[],"label_agreement":null},{"id":"W7112589466","doi":"","title":"A review of the international scientific literature on active school transport interventions","year":2023,"lang":"en","type":"article","venue":"UWA Profiles and Research Repository (UWA)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre for Global Health Research; Institute of Population and Public Health","funders":"","keywords":"Psychological intervention; Scientific literature; Work (physics); Sociology of scientific knowledge; Intervention (counseling); Scientific evidence","score_opus":0.08389066429012583,"score_gpt":0.4206260451614793,"score_spread":0.33673538087135346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7112589466","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9590166,0.008145338,0.000001850551,0.005530538,0.0011919134,0.0010060353,0.000105185456,0.000057638943,0.024944903],"genre_scores_gemma":[0.96501034,0.003127001,0.000013562727,0.000056234414,0.00024887733,0.000087245964,0.00004298811,0.00000755246,0.031406183],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99767315,0.0003484365,0.00029273127,0.0003504383,0.0010586622,0.00027656453],"domain_scores_gemma":[0.99879813,0.00011716574,0.0000936712,0.00030803334,0.0005526473,0.0001303654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002555131,0.00008189674,0.00014517983,0.0001785724,0.0012722953,0.0001845864,0.0006046548,0.00008273122,0.00014154676],"category_scores_gemma":[0.0003399861,0.00005287216,0.00022814453,0.0012466509,0.0009369514,0.00026247956,0.000072357034,0.00045968674,0.000013300628],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00057906745,0.0021169635,0.5638466,0.033637896,0.00062598515,0.00023982876,0.042173613,0.0000049555674,0.06257039,0.038981747,0.2299732,0.025249796],"study_design_scores_gemma":[0.0004570176,0.00015429461,0.69596565,0.04004335,0.000058802423,0.0000028209581,0.004600431,0.000027529039,0.094735615,0.0030543415,0.16061385,0.00028627992],"about_ca_topic_score_codex":0.00024148435,"about_ca_topic_score_gemma":0.000021563275,"teacher_disagreement_score":0.1321191,"about_ca_system_score_codex":0.00007357886,"about_ca_system_score_gemma":0.00035780668,"threshold_uncertainty_score":0.9785595},"labels":[],"label_agreement":null},{"id":"W7112679545","doi":"","title":"Evaluation Report - Connecting the Active Quarter","year":2025,"lang":"en","type":"report","venue":"Research Explorer (The University of Manchester)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Trent University; Nottingham Trent University; University of Northampton","keywords":"Bidding; Real estate; Quarter (Canadian coin); Process (computing); Duration (music); Estate","score_opus":0.2272233594620165,"score_gpt":0.4243213787401319,"score_spread":0.19709801927811543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7112679545","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6550603,0.0012773437,0.00031151538,0.015273555,0.001529231,0.0042350176,0.000059549344,0.00013113441,0.32212237],"genre_scores_gemma":[0.9949132,0.0006504239,0.000027380733,0.000014180466,0.00047207094,0.000008061133,0.00008307255,0.000013613902,0.0038179464],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.99137723,0.0023130677,0.00032817255,0.00056426355,0.0048971935,0.00052003906],"domain_scores_gemma":[0.99291575,0.0014168421,0.00041708254,0.0009687268,0.004184825,0.000096783435],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.026100632,0.00017540315,0.00035408497,0.00022367142,0.002406311,0.00008780617,0.001459458,0.00031407314,0.00092247856],"category_scores_gemma":[0.0023218258,0.0001289478,0.00029617478,0.0007265427,0.0015214465,0.00037401175,0.00025896437,0.0011880106,0.00003312077],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029771414,0.0003620368,0.020420684,0.00060652953,0.0011509502,0.00031578646,0.7173143,0.000022803408,0.00004355357,0.00041648056,0.13092135,0.12812781],"study_design_scores_gemma":[0.00030970495,0.000042955333,0.04663847,0.00040319603,0.00040113504,0.000002692758,0.32278314,0.0000371203,0.000057509787,0.0020776368,0.6270337,0.00021270155],"about_ca_topic_score_codex":0.003347339,"about_ca_topic_score_gemma":0.0024723483,"teacher_disagreement_score":0.49611238,"about_ca_system_score_codex":0.0013667294,"about_ca_system_score_gemma":0.0053812116,"threshold_uncertainty_score":0.9999908},"labels":[],"label_agreement":null},{"id":"W7112969778","doi":"","title":"Assessing accessibility to essential services by sustainable transportation in urban areas","year":2024,"lang":"en","type":"dissertation","venue":"UPCommons institutional repository (Universitat Politècnica de Catalunya)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sustainability; Context (archaeology); Urban planning; Sustainable development","score_opus":0.009014247526935172,"score_gpt":0.2978232072681938,"score_spread":0.2888089597412586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7112969778","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8870596,0.0010757956,0.00007477955,0.0005076845,0.001116022,0.0007294709,0.00021007685,0.00022200726,0.10900453],"genre_scores_gemma":[0.9717437,0.000024462115,0.00013755579,0.00008893248,0.00035350412,0.00005204458,0.004768918,0.00004157817,0.02278933],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99593043,0.00024906086,0.00069760176,0.0011528769,0.0009995559,0.0009704822],"domain_scores_gemma":[0.99807364,0.00012906968,0.00028909874,0.0005392455,0.00041922097,0.00054969935],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.00077882345,0.0004718659,0.0005384474,0.00068480714,0.0020111334,0.0008830095,0.001196288,0.00071763335,0.00012625323],"category_scores_gemma":[0.000061899584,0.0005807711,0.00032936488,0.0014072388,0.00043975582,0.003042783,0.00005098764,0.0008577749,0.000033574714],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001512953,0.0024811358,0.49441454,0.00703291,0.0007185605,0.0056689694,0.21444026,0.00054447824,0.0050744135,0.24641728,0.020247076,0.0014474442],"study_design_scores_gemma":[0.0009333768,0.000067168614,0.7062494,0.0015171749,0.00074459024,0.000006776575,0.19240801,0.000104407096,0.0016544181,0.005858532,0.0886909,0.0017652477],"about_ca_topic_score_codex":0.04244203,"about_ca_topic_score_gemma":0.050811525,"teacher_disagreement_score":0.24055876,"about_ca_system_score_codex":0.003218712,"about_ca_system_score_gemma":0.0042849076,"threshold_uncertainty_score":0.99966437},"labels":[],"label_agreement":null},{"id":"W7113015250","doi":"","title":"Mapping the journey. Exploring children’s civic engagement during their school travel in suburban Paris.","year":2025,"lang":"en","type":"article","venue":"Document Server@UHasselt (UHasselt)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Autonomy; Context (archaeology); Identity (music); Social capital; Theme (computing); Citizenship; Independence (probability theory); Civic engagement; Mental health","score_opus":0.05113827777774904,"score_gpt":0.29382774195882355,"score_spread":0.2426894641810745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7113015250","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98415726,0.0014699053,0.00021087259,0.004686842,0.00092475436,0.001609481,0.000010641129,0.00025733732,0.0066728787],"genre_scores_gemma":[0.9955152,0.0010793175,0.00006666386,0.000443104,0.00043719023,0.0004483408,0.000033348562,0.000044793676,0.0019320227],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99434525,0.00093872234,0.0012084732,0.0010493675,0.0010248735,0.0014333104],"domain_scores_gemma":[0.9978672,0.00030786646,0.0003389827,0.0010135244,0.00014071558,0.00033170352],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0046965624,0.0005696729,0.0006681765,0.00051912066,0.002185608,0.00086400495,0.0017231142,0.00023872171,0.0009316866],"category_scores_gemma":[0.00019223113,0.00047534882,0.00038899115,0.0020240012,0.00032333194,0.0018857035,0.0002712591,0.0012877707,0.000059919184],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004986028,0.0003176044,0.9759025,0.000121728204,0.00020614149,0.00001995738,0.016477628,0.00007825827,0.000390906,0.004702105,0.0007663339,0.00096698466],"study_design_scores_gemma":[0.0015062396,0.000024072891,0.9678408,0.00036202048,0.000055553886,7.132906e-7,0.019054495,0.000020652196,0.0016866237,0.004992545,0.0039120596,0.00054422405],"about_ca_topic_score_codex":0.008451484,"about_ca_topic_score_gemma":0.011510514,"teacher_disagreement_score":0.011357931,"about_ca_system_score_codex":0.0011429287,"about_ca_system_score_gemma":0.0005669366,"threshold_uncertainty_score":0.9999816},"labels":[],"label_agreement":null},{"id":"W7115032828","doi":"","title":"Triggers of travel behavior change: From abrupt disruptions to lasting effects","year":2025,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; McGill University; California HIV/AIDS Research Program","keywords":"Work (physics); Noise (video); Poison control; Term (time)","score_opus":0.03579471285076865,"score_gpt":0.3174509889696172,"score_spread":0.2816562761188486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7115032828","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94073355,0.0002976398,6.4384244e-7,0.000025266287,0.002499143,0.002420286,0.0031897794,0.00019345728,0.050640244],"genre_scores_gemma":[0.9887999,0.000088377965,0.00040480203,0.00011850883,0.00016638267,0.0010830364,0.0013748895,0.000078699464,0.007885385],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9955503,0.000440775,0.0009929567,0.0011544031,0.0010708721,0.0007906991],"domain_scores_gemma":[0.9971626,0.00069365307,0.0005662509,0.00063208386,0.00046076684,0.0004846553],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0009427183,0.00060751673,0.0009938943,0.00049144815,0.001755804,0.0000988893,0.0010249871,0.00092569756,0.00039118112],"category_scores_gemma":[0.0011267245,0.0006680489,0.0005539493,0.001369394,0.00011657979,0.00076839596,0.00006152375,0.0010473665,0.00006643823],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00059885316,0.0018866371,0.016467886,0.0015839475,0.00051532284,0.00014416043,0.0019314124,0.0000059141885,0.058374148,0.038137518,0.000015924545,0.88033825],"study_design_scores_gemma":[0.0022165303,0.00030911295,0.8423431,0.0042067766,0.0027946194,4.3248633e-7,0.0069531617,0.0000046772793,0.09918813,0.011133037,0.028039988,0.0028104265],"about_ca_topic_score_codex":0.022810608,"about_ca_topic_score_gemma":0.0818168,"teacher_disagreement_score":0.87752783,"about_ca_system_score_codex":0.0005568229,"about_ca_system_score_gemma":0.00018760588,"threshold_uncertainty_score":0.99957705},"labels":[],"label_agreement":null},{"id":"W7115810605","doi":"","title":"EXPANDING THE CONTINUUM OF TRAVEL ASSIMILATION: UNCOVERING NEW MEASURES AND SOCIAL PRACTICE THEORY INSIGHTS","year":2025,"lang":"en","type":"dissertation","venue":"MacSphere (McMaster University)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Conceptualization; Immigration; Travel behavior; Public transport; Thematic analysis; Phenomenon; Salient; Transportation planning","score_opus":0.02457008816659656,"score_gpt":0.264992508679143,"score_spread":0.24042242051254642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7115810605","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.045014244,0.00056078646,0.00068994425,0.00033218833,0.00049107225,0.00032425582,0.000012778459,0.00003577147,0.95253897],"genre_scores_gemma":[0.45710286,0.00008552947,0.00006648282,0.000052213476,0.00019069458,4.897428e-7,0.00003620284,0.000009567338,0.542456],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986251,0.00034022998,0.00020513473,0.00029102407,0.0003561752,0.00018231175],"domain_scores_gemma":[0.9989711,0.00035622274,0.00032865748,0.000113534625,0.00017717107,0.000053334763],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00036509143,0.00017586193,0.00027701943,0.0000929628,0.00074184337,0.00009731374,0.00034865222,0.0002703384,0.0034319155],"category_scores_gemma":[0.00008523201,0.00015801418,0.00011637712,0.00042338582,0.00015636226,0.00054356497,0.000028934908,0.00027964127,0.0000010184255],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019073688,0.0001367893,0.012274324,0.00050523726,0.0006506843,0.000040814153,0.28454813,0.000008327162,0.00044285943,0.06494004,0.0019923656,0.63255304],"study_design_scores_gemma":[0.0010753426,0.000032015345,0.037520796,0.0003052783,0.00090749166,1.6508632e-7,0.32485276,0.0000029265448,0.0008807365,0.006693998,0.62727845,0.00045002854],"about_ca_topic_score_codex":0.0016305466,"about_ca_topic_score_gemma":0.04205693,"teacher_disagreement_score":0.632103,"about_ca_system_score_codex":0.000102108694,"about_ca_system_score_gemma":0.0005305021,"threshold_uncertainty_score":0.9974791},"labels":[],"label_agreement":null},{"id":"W7115811504","doi":"","title":"Reuniting Accessibility Measures with Spatial Interaction Principles","year":2025,"lang":"en","type":"dissertation","venue":"MacSphere (McMaster University)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"CLARITY; Measure (data warehouse); Proportionality (law); Relation (database); Empirical measure; Transportation planning","score_opus":0.03615656009199272,"score_gpt":0.27370402308332387,"score_spread":0.23754746299133114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7115811504","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2090608,0.000050113114,0.00040957014,0.00006310492,0.0005600207,0.0004193896,0.000022056043,0.00017137916,0.7892436],"genre_scores_gemma":[0.50571036,0.00002272315,0.00010552357,0.00001608683,0.00014178101,0.0000016964395,0.00018059382,0.000014083977,0.49380714],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99777544,0.00030042077,0.00029487748,0.0006945495,0.0005428902,0.00039181788],"domain_scores_gemma":[0.99867207,0.00010749375,0.00038439056,0.00032037837,0.0003760998,0.00013957293],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00032480803,0.00032020983,0.00037765052,0.00021807429,0.0008415387,0.00022365125,0.0007166042,0.0003954456,0.031196961],"category_scores_gemma":[0.000075277065,0.00032304128,0.00015492333,0.00075550226,0.00014578996,0.000799692,0.00004754127,0.00056530524,0.000012150667],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015208151,0.00019251584,0.15051427,0.0004809963,0.00020949605,0.00008459872,0.00882315,0.00004113144,0.000043308977,0.0016922002,0.000110093344,0.83628744],"study_design_scores_gemma":[0.001033431,0.000084748164,0.14248529,0.0011427451,0.00054764585,2.5575673e-7,0.08501148,0.00005302094,0.0005794687,0.0002557672,0.76790804,0.00089808466],"about_ca_topic_score_codex":0.0151698245,"about_ca_topic_score_gemma":0.511411,"teacher_disagreement_score":0.8353893,"about_ca_system_score_codex":0.00046893163,"about_ca_system_score_gemma":0.0008753022,"threshold_uncertainty_score":0.99992216},"labels":[],"label_agreement":null},{"id":"W7115815707","doi":"","title":"Understanding The Determinants of Obesity In Urban Canada","year":2009,"lang":"en","type":"dissertation","venue":"MacSphere (McMaster University)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Overweight; Obesity; Socioeconomic status; Public health; Developed country; Poverty; Childhood obesity","score_opus":0.03174759722113723,"score_gpt":0.24142840347314493,"score_spread":0.2096808062520077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7115815707","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45596445,0.00007003995,0.000011832284,0.00004332273,0.00025922028,0.00022822426,0.000015578587,0.00001313688,0.5433942],"genre_scores_gemma":[0.76836663,0.000017717157,0.000006498914,0.000018818691,0.000033822085,1.6359957e-7,0.000018106935,0.000006440471,0.23153177],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99870074,0.00014658399,0.00021441664,0.00026507923,0.00037914445,0.0002940138],"domain_scores_gemma":[0.99940485,0.00007004376,0.00022607598,0.0001739769,0.000052546253,0.00007252173],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00019505879,0.00016219757,0.00028214857,0.00008369505,0.00032069278,0.000027614247,0.00060702866,0.00019844597,0.007212622],"category_scores_gemma":[0.000015496225,0.00015217395,0.00008572205,0.000624842,0.0001163916,0.00018274855,0.000014632918,0.00026055603,0.0000011016747],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011128082,0.00006141247,0.9666113,0.00009476656,0.000019201047,0.0001116249,0.00838218,0.0000073138676,0.0000035890014,0.0015239833,0.0005961567,0.022477182],"study_design_scores_gemma":[0.0005841098,0.000032174197,0.80539435,0.00035231613,0.00012582597,1.1374983e-7,0.1099829,0.000023144063,0.0001186376,0.0010892997,0.08183161,0.00046553518],"about_ca_topic_score_codex":0.68152094,"about_ca_topic_score_gemma":0.9989533,"teacher_disagreement_score":0.31743234,"about_ca_system_score_codex":0.0008764177,"about_ca_system_score_gemma":0.0012576772,"threshold_uncertainty_score":0.9936949},"labels":[],"label_agreement":null},{"id":"W7115915370","doi":"10.1016/j.cities.2025.106738","title":"Competitive or complementary role of bike-sharing to public transport: Budapest case study","year":2025,"lang":"en","type":"article","venue":"Cities","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Magyar Tudományos Akadémia","keywords":"Renting; Public transport; Complementarity (molecular biology); Competition (biology); Negative binomial distribution; TRIPS architecture; Quarter (Canadian coin); Metro station; Descriptive statistics","score_opus":0.05276931230764755,"score_gpt":0.34257547166163194,"score_spread":0.2898061593539844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7115915370","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9523275,0.00006682496,0.00002640823,0.0004658197,0.00014774696,0.00051808247,0.000081966995,0.00006175523,0.04630389],"genre_scores_gemma":[0.99788135,0.0000035064427,0.000065589586,0.00018104508,0.000052252,0.000033807843,0.000013143994,0.000005301812,0.0017640153],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9989193,0.000056863253,0.0003065973,0.00024485338,0.00022074244,0.00025161065],"domain_scores_gemma":[0.9994808,0.00009315293,0.00004977838,0.0001832137,0.00011810539,0.000074944895],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003868077,0.00010037771,0.00022850558,0.00013807342,0.00043058587,0.00004352119,0.00031690413,0.000022027076,0.0010075343],"category_scores_gemma":[0.000021253984,0.000090834495,0.00005826359,0.0004928694,0.00024318746,0.00023124534,0.0000372957,0.000079412566,0.000004429314],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031430904,0.00024366293,0.93683565,0.000031350686,0.000046688925,0.0001769032,0.041414477,0.0000012440452,0.000015442838,0.020138817,0.000066269284,0.0009980735],"study_design_scores_gemma":[0.00046007923,0.00009404481,0.2917034,0.000048734037,0.000058478287,0.0000011798502,0.678252,0.0000031534776,0.00018292529,0.0010460983,0.02799184,0.00015806821],"about_ca_topic_score_codex":0.030675866,"about_ca_topic_score_gemma":0.33270404,"teacher_disagreement_score":0.64513224,"about_ca_system_score_codex":0.000057419402,"about_ca_system_score_gemma":0.00019383906,"threshold_uncertainty_score":0.9999057},"labels":[],"label_agreement":null},{"id":"W7116322616","doi":"10.14288/1.0451067","title":"Data-driven recalibration methodology for spatially transferring the vehicle ownership module of an agent-based integrated urban model","year":2025,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Range (aeronautics); Transferability; Process (computing); Interdependence; Latin hypercube sampling; Set (abstract data type); Aggregate (composite); Sampling (signal processing); Calibration","score_opus":0.08137008913656509,"score_gpt":0.2854755764693349,"score_spread":0.20410548733276984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7116322616","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8116634,0.000027195412,0.18639894,0.00038906137,0.00007719923,0.00039664318,0.00061705156,0.000043633187,0.00038688083],"genre_scores_gemma":[0.9900734,0.000007902668,0.009268921,0.00006153999,0.000018718278,0.0000013036954,0.00022467009,0.000006052132,0.00033750272],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99876326,0.00034525958,0.00017250543,0.00035182087,0.00017733756,0.00018978624],"domain_scores_gemma":[0.99904627,0.00019102944,0.00010449439,0.00038992593,0.00020821008,0.000060089507],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010488061,0.00003885283,0.00023184792,0.000039324786,0.0004535598,0.00006168769,0.0008955491,0.00012992289,0.000036314672],"category_scores_gemma":[0.000098641474,0.00009000224,0.00009759422,0.00034930994,0.000538074,0.000586396,0.000034602108,0.00010519813,2.4032977e-7],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044711574,0.0008648778,0.13756059,0.00045911642,0.00022326266,0.000015140678,0.008074818,0.00925484,0.005268039,0.0004904573,0.0024763073,0.83486545],"study_design_scores_gemma":[0.0011655178,0.00007408917,0.68555063,0.00009659382,0.00016045348,8.7500354e-8,0.0040679774,0.3055415,0.000055804787,0.0028070938,0.0003272638,0.00015302203],"about_ca_topic_score_codex":0.18767403,"about_ca_topic_score_gemma":0.86073226,"teacher_disagreement_score":0.8347124,"about_ca_system_score_codex":0.0000513723,"about_ca_system_score_gemma":0.00046930797,"threshold_uncertainty_score":0.8177353},"labels":[],"label_agreement":null},{"id":"W7116723806","doi":"10.4000/15erq","title":"Les aléas de la mobilité durable : que nous apprennent les controverses sur les projets de tramway et troisième lien à Québec?","year":2025,"lang":"fr","type":"article","venue":"VertigO","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"","keywords":"ESPACE; Air transport; Context (archaeology); Ministry of Transport","score_opus":0.017109541986835012,"score_gpt":0.28860723421072293,"score_spread":0.2714976922238879,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7116723806","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9440908,0.01757294,0.0019316018,0.00873615,0.00044810973,0.0006616179,0.00008685936,0.00019028025,0.026281675],"genre_scores_gemma":[0.9801717,0.001023841,0.00043156688,0.00036813432,0.00017508942,0.00010222966,0.000012568334,0.000027861684,0.017687023],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9964907,0.0009813965,0.0005696488,0.0006582794,0.00036616612,0.0009337989],"domain_scores_gemma":[0.9978709,0.0011791153,0.00016021558,0.00039345946,0.00015201679,0.00024425547],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013399222,0.0003769507,0.00053592195,0.00009674581,0.00078083324,0.0002374587,0.0006276264,0.00054085214,0.0005830109],"category_scores_gemma":[0.000579086,0.0003619256,0.0003663488,0.00049410335,0.0013282568,0.00047932996,0.000056318633,0.0005548811,0.000018516197],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017625063,0.001088112,0.91989595,0.00039459803,0.00015700332,0.000035311055,0.015078776,0.0002539567,0.0013129859,0.0375999,0.0035685666,0.020438574],"study_design_scores_gemma":[0.0014224637,0.00014159926,0.5916427,0.0004530805,0.00030167407,0.0000024927385,0.007311821,0.00058253336,0.002704335,0.0049556717,0.38991803,0.0005636423],"about_ca_topic_score_codex":0.62622356,"about_ca_topic_score_gemma":0.5073407,"teacher_disagreement_score":0.38634947,"about_ca_system_score_codex":0.00082152785,"about_ca_system_score_gemma":0.0024618583,"threshold_uncertainty_score":0.9998833},"labels":[],"label_agreement":null},{"id":"W7116800770","doi":"10.1007/s10668-025-07109-z","title":"How do urban morphology and gas station data reflect transportation energy consumption?","year":2025,"lang":"en","type":"article","venue":"Environment Development and Sustainability","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Natural Resources Canada","funders":"Natural Science Foundation of Fujian Province; National Natural Science Foundation of China","keywords":"Energy consumption; Walkability; Sustainable development; Urban morphology; Sustainable transport; Urban planning; Energy (signal processing); Consumption (sociology); Artificial neural network","score_opus":0.020117670554051604,"score_gpt":0.2841800395775878,"score_spread":0.2640623690235362,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7116800770","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98606753,0.0009128398,0.00744698,0.004687487,0.00006514456,0.00034726402,0.000021053414,0.00004082931,0.0004108685],"genre_scores_gemma":[0.99616784,0.00057554553,0.0008639499,0.000086770204,0.000019181918,0.000037574144,0.00031715198,0.0000048354113,0.0019271235],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984742,0.0001909628,0.00025765464,0.00058506615,0.00021705758,0.00027505896],"domain_scores_gemma":[0.99939275,0.000101805235,0.000071048045,0.00030533728,0.000034495326,0.00009455849],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009373873,0.00014108686,0.00017156852,0.000072851006,0.0006454991,0.00011063091,0.0001762382,0.000110218,0.000091576745],"category_scores_gemma":[0.00007407782,0.00014036366,0.00001661612,0.0001036589,0.0005917837,0.00046330286,0.00004214298,0.0001029104,5.3592754e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044256176,0.00007925272,0.9383894,0.00008282296,0.000022559732,0.000004811993,0.0049562594,0.0000013437422,0.000013380183,0.008612011,0.00018239807,0.047611497],"study_design_scores_gemma":[0.0003341086,0.00001241725,0.8377789,0.0000068251634,0.000029639867,6.588551e-8,0.003551745,0.000013175684,0.00010986462,0.016219856,0.14178443,0.00015897493],"about_ca_topic_score_codex":0.0003713724,"about_ca_topic_score_gemma":0.0012437727,"teacher_disagreement_score":0.14160202,"about_ca_system_score_codex":0.00030006666,"about_ca_system_score_gemma":0.00025289253,"threshold_uncertainty_score":0.5723864},"labels":[],"label_agreement":null},{"id":"W7116969914","doi":"10.1016/j.tra.2025.104842","title":"Evaluating age-friendly public transportation: A novel smart card data approach analyzing travel time differences between older and younger travelers after controlling for confounding effects","year":2025,"lang":"en","type":"article","venue":"Transportation Research Part A Policy and Practice","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Research Grants Council, University Grants Committee","keywords":"Smart card; Proxy (statistics); Public transport; Travel behavior; Variance (accounting); Cluster analysis; Confounding; Metropolitan area; Multivariate analysis; Public health","score_opus":0.26021234349928546,"score_gpt":0.5013955615660088,"score_spread":0.24118321806672338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7116969914","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91389704,0.0015449916,0.066353254,0.009174011,0.00015996871,0.0038641174,0.0011366806,0.00011223352,0.0037576754],"genre_scores_gemma":[0.9926029,0.00019986513,0.0045578033,0.00021705744,0.00038002664,0.00039247007,0.0008418905,0.000021889642,0.0007860949],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99585587,0.00080581807,0.00067795714,0.00090440427,0.0009185174,0.00083745143],"domain_scores_gemma":[0.9910845,0.007477017,0.00020653721,0.00035623123,0.00055132515,0.00032434362],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.008855498,0.00026335468,0.0005333373,0.00043849103,0.0014586725,0.0006296666,0.00041640803,0.00023092568,0.000028939974],"category_scores_gemma":[0.0023910033,0.00025564517,0.00009177536,0.001113712,0.0007757708,0.002489785,0.000009477994,0.0005096861,0.0000013463672],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0052964073,0.0013301247,0.6445655,0.005078423,0.002892168,0.000066003464,0.15965886,0.000048405564,0.0036906411,0.11563549,0.0006998082,0.06103815],"study_design_scores_gemma":[0.003939928,0.0001918283,0.9633742,0.0002856284,0.0009269605,4.2753655e-7,0.008366326,0.0016628165,0.00004541188,0.0013934687,0.019303104,0.00050988013],"about_ca_topic_score_codex":0.007815464,"about_ca_topic_score_gemma":0.004144804,"teacher_disagreement_score":0.3188087,"about_ca_system_score_codex":0.000080912316,"about_ca_system_score_gemma":0.0008664907,"threshold_uncertainty_score":0.99998957},"labels":[],"label_agreement":null},{"id":"W7117252614","doi":"10.1016/j.resconrec.2025.108758","title":"Life-cycle carbon footprint and mitigation potentials of e-bikes in urban transport systems","year":2025,"lang":"en","type":"article","venue":"Resources Conservation and Recycling","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Natural Science Foundation of Hubei Province","keywords":"Carbon footprint; Greenhouse gas; China; Climate change; Modal shift; Carbon fibers; Offset (computer science); Air pollution; Urban climate","score_opus":0.014148592160003281,"score_gpt":0.26920085753399653,"score_spread":0.2550522653739932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117252614","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9919259,0.0018359574,0.000084449144,0.0013403646,0.00011734364,0.000255344,0.000002127999,0.000029334991,0.004409196],"genre_scores_gemma":[0.99924904,0.00022240005,0.000046667454,0.00006943285,0.000039598362,0.000007898456,0.0000035582602,0.0000035995156,0.00035778276],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99902546,0.000117140684,0.00039827486,0.0001906437,0.00014398989,0.00012450715],"domain_scores_gemma":[0.9995446,0.00013066144,0.00012237538,0.00007652854,0.000057230132,0.00006857013],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075519056,0.00007194182,0.00019843245,0.00012843321,0.0001489377,0.000037168375,0.000064693486,0.00010613281,0.0000029949954],"category_scores_gemma":[0.00012589517,0.00006987935,0.000028076838,0.00027152983,0.00020529001,0.00006223291,0.000007734341,0.00007903899,4.3179757e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024632222,0.000020279558,0.9897981,0.00014259371,0.000010787595,6.4949154e-7,0.0057752165,0.000044760844,0.00073311746,0.0015325098,0.0000024023752,0.0019149018],"study_design_scores_gemma":[0.00037144733,0.000008783738,0.98930556,0.0003091043,0.000026735805,6.682233e-8,0.0047604507,0.0014106632,0.00029297094,0.00075801107,0.0026671204,0.00008906167],"about_ca_topic_score_codex":0.013386429,"about_ca_topic_score_gemma":0.0040600244,"teacher_disagreement_score":0.009326405,"about_ca_system_score_codex":0.00001797542,"about_ca_system_score_gemma":0.00008544247,"threshold_uncertainty_score":0.9931835},"labels":[],"label_agreement":null},{"id":"W7117291122","doi":"10.1016/j.cities.2025.106740","title":"From wheels to meals: Do bike lanes drive restaurant growth in Montreal? (2005–2020)","year":2025,"lang":"en","type":"article","venue":"Cities","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval; Institut National de la Recherche Scientifique","funders":"","keywords":"Borough; Vitality; Occupancy; Event (particle physics); Economic impact analysis","score_opus":0.013603595082498171,"score_gpt":0.285798760186733,"score_spread":0.2721951651042348,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117291122","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94253474,0.0008294096,0.000034878904,0.0042797914,0.00037736396,0.0002109342,0.00006463687,0.000077160905,0.05159108],"genre_scores_gemma":[0.9902857,0.00016383085,0.00007584378,0.0003399661,0.0002252538,0.000025884672,0.000013929735,0.0000051871884,0.008864392],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99880373,0.0001069381,0.00023946009,0.00029338253,0.00022697228,0.00032953316],"domain_scores_gemma":[0.9994368,0.00020067235,0.000036416997,0.00017137376,0.000063721476,0.00009099724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033610253,0.000109874876,0.00022088308,0.000111803514,0.00019533474,0.000110850386,0.0003296177,0.0000660144,0.00040195393],"category_scores_gemma":[0.00013692347,0.000099846235,0.000054338012,0.0003665378,0.00020020007,0.00021451108,0.000031179232,0.00010714749,0.00003668522],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006685208,0.000063711894,0.91685945,0.00003597452,0.000026467995,0.000061103914,0.055428267,0.0000073081906,0.00007474456,0.005980818,0.01798959,0.0034057365],"study_design_scores_gemma":[0.00030221703,0.000011038999,0.85294795,0.0001434918,0.000019245992,3.282262e-8,0.030295974,0.0000042269558,0.00037759676,0.10066245,0.015042253,0.00019351336],"about_ca_topic_score_codex":0.15575913,"about_ca_topic_score_gemma":0.3323761,"teacher_disagreement_score":0.17661697,"about_ca_system_score_codex":0.00008890913,"about_ca_system_score_gemma":0.00014711905,"threshold_uncertainty_score":0.84986275},"labels":[],"label_agreement":null},{"id":"W7117321782","doi":"10.1136/bmjopen-2025-109478","title":"Examining the associations between the food environment and dietary intake in British Columbia: a cross-sectional study","year":2025,"lang":"en","type":"article","venue":"BMJ Open","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Occupational Cancer Research Centre; University of British Columbia","funders":"Canadian Institutes of Health Research; Health Canada; Partenariat Canadien Contre Le Cancer; BC Cancer Foundation","keywords":"Neighbourhood (mathematics); Public health; Food intake; Epidemiology; Unhealthy food; Built environment; Obesity","score_opus":0.13196709953456942,"score_gpt":0.3873316060285122,"score_spread":0.25536450649394277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117321782","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99062157,0.00003971632,0.0000039929096,0.00061037403,0.00007929768,0.0036560846,0.000054772485,0.000008518711,0.0049256776],"genre_scores_gemma":[0.997541,0.0000039491993,0.0000124764865,0.00011908181,0.00007897295,0.00044112664,0.00001025394,0.0000026865011,0.0017904649],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99886364,0.0002790115,0.00025676188,0.0002110995,0.00024720546,0.00014227943],"domain_scores_gemma":[0.9994057,0.00032763323,0.000072261246,0.0001569468,0.000015032757,0.000022460059],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0032334193,0.000039525243,0.000117552496,0.000009285674,0.0012455045,0.0012841695,0.00049290847,0.000046639667,0.00013149632],"category_scores_gemma":[0.00012674191,0.000039471903,0.000021762537,0.0001976931,0.00021981313,0.00022772032,0.00021570161,0.00015155922,0.0000019820031],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002241731,0.00006639006,0.9954557,0.0000015175295,0.00003280972,0.0000010769138,0.0024141583,0.0000017586981,1.45115e-7,0.000012301451,0.0001713974,0.0018405338],"study_design_scores_gemma":[0.00030086254,0.000032104166,0.9927789,0.000009720471,0.000015332831,3.743624e-8,0.004769413,0.000001168358,1.0994148e-7,0.0014579854,0.0005832695,0.00005108313],"about_ca_topic_score_codex":0.15702084,"about_ca_topic_score_gemma":0.81585324,"teacher_disagreement_score":0.65883243,"about_ca_system_score_codex":0.00008885982,"about_ca_system_score_gemma":0.00012467052,"threshold_uncertainty_score":0.9997526},"labels":[],"label_agreement":null},{"id":"W7117464657","doi":"10.1016/j.trpro.2025.12.069","title":"Walkability indices and travel behaviour: Insights from Montréal, Canada","year":2025,"lang":"en","type":"article","venue":"Transportation research procedia","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Walkability; Index (typography); TRIPS architecture; Built environment; Level design; Reliability (semiconductor); Quality (philosophy); Mode (computer interface)","score_opus":0.029896888968110845,"score_gpt":0.35018116571548125,"score_spread":0.3202842767473704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117464657","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9935587,0.0014139246,0.000055047047,0.0018094394,0.00011756626,0.00058321375,0.00013407391,0.000067774345,0.002260265],"genre_scores_gemma":[0.9987421,0.00019547928,0.000093676026,0.000094931114,0.000058445294,0.00007917891,0.00013454272,0.000008804735,0.0005928209],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99781865,0.000135861,0.00032853367,0.00044422643,0.0008953827,0.00037737272],"domain_scores_gemma":[0.99891067,0.00028334503,0.00004808832,0.00017223293,0.00036621466,0.00021945694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057803746,0.000114872266,0.00018635235,0.00012332154,0.0007759966,0.00008347435,0.00027653153,0.0001335126,0.00011014773],"category_scores_gemma":[0.00011531634,0.000109114684,0.000033550834,0.0006984335,0.00050666195,0.0003444616,0.000004935912,0.0003802004,0.0000029576665],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004063794,0.00008025784,0.9822861,0.000062539686,0.000016808246,0.000013042026,0.010237582,8.792435e-7,0.000110409004,0.004280097,0.0014365248,0.001435124],"study_design_scores_gemma":[0.0002876403,0.000012373397,0.98043245,0.000032369517,0.000020073952,4.5000124e-9,0.0076980395,0.0000075820208,0.00038722993,0.006942809,0.004074878,0.000104563194],"about_ca_topic_score_codex":0.97132105,"about_ca_topic_score_gemma":0.9980537,"teacher_disagreement_score":0.026732655,"about_ca_system_score_codex":0.00016290662,"about_ca_system_score_gemma":0.0022604496,"threshold_uncertainty_score":0.5968417},"labels":[],"label_agreement":null},{"id":"W7117471626","doi":"10.2139/ssrn.5983374","title":"Adding Bike Simulation Capacity to an Activity–Based Travel Demand Model and Testing Policy Scenarios","year":2025,"lang":"","type":"preprint","venue":"SSRN Electronic Journal","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia Hospital; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"TRIPS architecture; Car ownership; Bike sharing; Set (abstract data type); Reduction (mathematics); Choice set; Discrete choice","score_opus":0.053195863916452736,"score_gpt":0.34015443810577567,"score_spread":0.2869585741893229,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117471626","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80009127,0.000271772,0.19654857,0.0009109424,0.00022449603,0.00084141776,0.000071524686,0.00006153686,0.0009784724],"genre_scores_gemma":[0.9959613,0.0002758047,0.0017970096,0.00022096004,0.0011193488,0.000020296391,0.0000091351,0.000041413765,0.0005547279],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9914936,0.0006968626,0.0010244228,0.001361314,0.0010049563,0.004418879],"domain_scores_gemma":[0.99672925,0.00052191416,0.0008483607,0.0005096985,0.0006192996,0.00077147107],"candidate_categories":["metaepi_narrow","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0070975907,0.00076450215,0.0009426188,0.0008067547,0.002982485,0.00075339695,0.0010090659,0.0007581821,0.000019647861],"category_scores_gemma":[0.0009089963,0.000803703,0.00033562104,0.00141216,0.00035980213,0.0011888341,0.00017076267,0.006381417,0.0000023013897],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.00037899645,0.0004951477,0.044257455,0.00019160756,0.0002257618,0.0000025217125,0.010752385,0.85811037,0.0015208975,0.0067740967,0.0000011856883,0.07728955],"study_design_scores_gemma":[0.0010121036,0.0003574016,0.028454183,0.00054610946,0.0003442137,0.000004823733,0.0021100424,0.81962776,0.00013889006,0.14641103,0.0000203621,0.0009730711],"about_ca_topic_score_codex":0.009741668,"about_ca_topic_score_gemma":0.039739683,"teacher_disagreement_score":0.19587003,"about_ca_system_score_codex":0.0045141396,"about_ca_system_score_gemma":0.026175564,"threshold_uncertainty_score":0.9994414},"labels":[],"label_agreement":null},{"id":"W7117485776","doi":"10.1016/j.jcmr.2025.100100","title":"Cycling rate trends from Canada’s national volunteer cycling count","year":2025,"lang":"en","type":"article","venue":"Journal of Cycling and Micromobility Research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Manitoba Beekeepers' Association; University of Ottawa; Simon Fraser University; Dalhousie University; Institute of Population and Public Health; University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; Infrastructure Canada; Simon Fraser University; Dalhousie University","keywords":"Cycling; Destinations; Interquartile range; Morning; Count data","score_opus":0.05592176531581309,"score_gpt":0.4138553492063167,"score_spread":0.3579335838905036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117485776","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9861229,0.001874483,0.00009579174,0.004340936,0.00062063365,0.00010433497,0.00004445767,0.000012262155,0.0067841825],"genre_scores_gemma":[0.99699855,0.00026587048,0.0002592581,0.00015706057,0.0005007167,0.000002635751,0.000007877351,0.000007935255,0.0018001151],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9963703,0.0006822307,0.00084135245,0.00034472105,0.0012417242,0.0005196366],"domain_scores_gemma":[0.99609107,0.0017240141,0.0002187809,0.00017999412,0.0015504007,0.00023573068],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012233027,0.00013593148,0.00038076247,0.00033803273,0.001048258,0.00024864683,0.00048677044,0.00015570296,0.00020890545],"category_scores_gemma":[0.0016667126,0.00012151704,0.00013699294,0.0006566045,0.0005332461,0.0003394259,0.0000655099,0.0010224066,0.0000015851338],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040737464,0.00035599116,0.95086086,0.00009046816,0.00021830766,0.0000561423,0.004238177,0.00007662471,0.01850793,0.0003869547,0.0075241695,0.017277006],"study_design_scores_gemma":[0.0014372271,0.00006836198,0.9080835,0.00048076815,0.000074512864,0.0000022431445,0.0051898975,0.00020118608,0.0058509475,0.01829285,0.060001846,0.00031665934],"about_ca_topic_score_codex":0.49879175,"about_ca_topic_score_gemma":0.63680536,"teacher_disagreement_score":0.1380136,"about_ca_system_score_codex":0.0007253325,"about_ca_system_score_gemma":0.004910604,"threshold_uncertainty_score":0.8711201},"labels":[],"label_agreement":null},{"id":"W7117488978","doi":"10.32866/001c.154704","title":"A Gendered Analysis of the Mobility of Care Done by Bike in Victoria, Canada","year":2025,"lang":"en","type":"article","venue":"Findings","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University; Simon Fraser University","funders":"Canadian Institutes of Health Research; Public Health Agency of Canada","keywords":"Cycling; Quarter (Canadian coin); Child care; Social mobility","score_opus":0.007078561212030456,"score_gpt":0.2623032562998455,"score_spread":0.2552246950878151,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117488978","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955975,0.00015905254,0.000006323254,0.00022519399,0.00016068743,0.00012707047,0.00014825468,0.00000419554,0.0035717702],"genre_scores_gemma":[0.99948066,0.0000035480166,0.0000063094976,0.000030286543,0.000005984848,0.0000039241336,0.00001116612,0.0000012304074,0.0004568707],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991794,0.000055962446,0.00023798674,0.00014608976,0.0002493533,0.00013116216],"domain_scores_gemma":[0.99956685,0.00006885964,0.000072506395,0.00019109256,0.000077913406,0.000022795255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002715507,0.0000492009,0.00021249137,0.00007231257,0.00008818522,0.000006146135,0.00029779115,0.000054062184,0.00010925968],"category_scores_gemma":[0.000081245365,0.00003866912,0.000094597155,0.0020343342,0.00013291425,0.000042235755,0.000021094756,0.00006874827,4.9344685e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007422771,0.000028413899,0.9918754,0.00003179479,0.00005673979,1.3905375e-7,0.00696234,0.0000059955564,0.00029147352,0.00021325341,0.0004583659,0.00006866514],"study_design_scores_gemma":[0.00009540934,0.0000024405788,0.99125594,0.000012471176,0.000111063084,5.816056e-10,0.003452485,0.0000056992208,0.0020686386,0.00010711991,0.002851787,0.0000369399],"about_ca_topic_score_codex":0.9195532,"about_ca_topic_score_gemma":0.9887651,"teacher_disagreement_score":0.06921187,"about_ca_system_score_codex":0.0002208484,"about_ca_system_score_gemma":0.00065624365,"threshold_uncertainty_score":0.15768811},"labels":[],"label_agreement":null},{"id":"W7119083708","doi":"10.18280/ijsdp.201125","title":"Mapping Five Decades of Trip Generation Research: A Bibliometric Review for Sustainable Transportation Planning (1972–2024)","year":2025,"lang":"","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Trip generation; Sustainable transport; Transportation planning; Regional planning; Urban planning; Sustainable development","score_opus":0.10585494224792627,"score_gpt":0.40875627261182856,"score_spread":0.3029013303639023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7119083708","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87978804,0.10176734,0.012519696,0.0014421438,0.0010420161,0.0011987799,0.000013690785,0.000010737171,0.00221755],"genre_scores_gemma":[0.97615206,0.0068299896,0.0025894467,0.00016723038,0.00048727207,0.000045582,0.00007777506,0.000015667558,0.013634974],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99508804,0.0002477715,0.0019890487,0.00039246626,0.0015129913,0.00076969294],"domain_scores_gemma":[0.98815966,0.0009158738,0.0012034181,0.00010160493,0.009451697,0.00016777765],"candidate_categories":["metaepi_narrow","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.009918262,0.0002662135,0.00066425797,0.020441655,0.0009619539,0.0004432429,0.0007345384,0.00021499432,0.00008061835],"category_scores_gemma":[0.0021215756,0.00026298256,0.00019776433,0.018295398,0.00023248764,0.0017959259,0.000059532813,0.0005373276,3.660138e-7],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0030332308,0.0010292331,0.45674446,0.034174092,0.003855118,0.0043183872,0.29771987,0.0022790383,0.00039562173,0.03003951,0.08117254,0.0852389],"study_design_scores_gemma":[0.0031210664,0.00027373526,0.15760101,0.017614827,0.000281342,0.000006843828,0.5154876,0.0003954639,0.0017789631,0.006783191,0.2960458,0.00061016035],"about_ca_topic_score_codex":0.00028812754,"about_ca_topic_score_gemma":0.000016864607,"teacher_disagreement_score":0.29914346,"about_ca_system_score_codex":0.0006720415,"about_ca_system_score_gemma":0.0030738947,"threshold_uncertainty_score":0.99998224},"labels":[],"label_agreement":null},{"id":"W7119492996","doi":"10.64903/1480-6800-28.3-4.197","title":"Examining the Spatial Distribution of Smoking Lounges Near Colleges in Kuwait Using GIS","year":2025,"lang":"","type":"article","venue":"Arab world geographer","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Geographic information system; Distribution (mathematics); Spatial analysis; Spatial distribution; Public health; Cluster analysis","score_opus":0.02608444562208809,"score_gpt":0.2857933466293573,"score_spread":0.2597089010072692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7119492996","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98768824,0.0037000002,0.00035754405,0.00092282606,0.0010487543,0.0005744434,0.000056528923,0.000029264998,0.00562237],"genre_scores_gemma":[0.9988869,0.00015287937,0.0000550077,0.00010663444,0.00012913668,0.00001536878,0.000019687894,0.000011988155,0.000622399],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968136,0.00047167632,0.0008865245,0.00059835793,0.000558769,0.00067105383],"domain_scores_gemma":[0.9985045,0.0004489829,0.0003861622,0.00045846324,0.0001304167,0.00007148198],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0018497312,0.00029640284,0.0004999686,0.00022375713,0.0011379583,0.00023185085,0.0006392616,0.00018128604,0.0005143642],"category_scores_gemma":[0.00010144326,0.00025197552,0.00025807178,0.0053776675,0.0017993201,0.0003590253,0.00010832181,0.00046844556,0.0000016971085],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000071332,0.00017257914,0.9855818,0.000061509614,0.0001030328,0.0000050189133,0.0029439873,0.00019396185,0.000036700112,0.000915411,0.00013133562,0.009783324],"study_design_scores_gemma":[0.000552695,0.000024862984,0.9871776,0.0005451841,0.00022071975,6.981445e-8,0.0032952498,0.0009997967,0.0001665318,0.001896033,0.00487232,0.00024891095],"about_ca_topic_score_codex":0.046726465,"about_ca_topic_score_gemma":0.10359482,"teacher_disagreement_score":0.056868352,"about_ca_system_score_codex":0.00012555144,"about_ca_system_score_gemma":0.00035653214,"threshold_uncertainty_score":0.99999326},"labels":[],"label_agreement":null},{"id":"W7125808393","doi":"10.4995/vibrarch2024.2024.18142","title":"Built environment quality via community &amp; crime prevention lenses: Critical examinations of selected Calgary Light Rail Transit (LRT) Stations","year":2024,"lang":"","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Quality (philosophy); Categorization; Perception; Thematic analysis; Community design; Conceptual framework","score_opus":0.07666360490829909,"score_gpt":0.38384622448898126,"score_spread":0.30718261958068216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7125808393","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69133615,0.0017333246,0.28775847,0.0027444295,0.0005424938,0.00103956,0.00031705492,0.0002548839,0.014273663],"genre_scores_gemma":[0.9912228,0.00024095818,0.0017146158,0.000057503825,0.00010757964,0.000059889775,0.00035938836,0.000031337844,0.0062059383],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9923148,0.0035861626,0.0016658497,0.00068162585,0.0011052223,0.00064633024],"domain_scores_gemma":[0.99642414,0.0018997653,0.0001652468,0.00077976583,0.00038996348,0.00034112483],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0033375965,0.0004006505,0.0006125453,0.00021074938,0.0016938461,0.00023415814,0.00061765546,0.0004123826,0.012088212],"category_scores_gemma":[0.00043487648,0.0004061434,0.0004264727,0.0013544234,0.0015940125,0.0012299024,0.00006715808,0.0010719422,0.00014293396],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004886336,0.03653521,0.07264843,0.01047982,0.0022292035,0.000034643333,0.4791111,0.00007204341,0.12697046,0.19231617,0.005205391,0.07390888],"study_design_scores_gemma":[0.0008089255,0.0005373832,0.90778285,0.00046729055,0.0014422036,0.0000016729235,0.010528497,0.0006605155,0.00843442,0.054316904,0.013855463,0.0011638606],"about_ca_topic_score_codex":0.025352022,"about_ca_topic_score_gemma":0.044397652,"teacher_disagreement_score":0.83513445,"about_ca_system_score_codex":0.00035118544,"about_ca_system_score_gemma":0.0007892477,"threshold_uncertainty_score":0.99983907},"labels":[],"label_agreement":null},{"id":"W7125837990","doi":"10.4995/vibrarch2024.2024.18168","title":"Public insights into the Plus-15: Perspectives of Calgary's Grade-Separated Pedestrian Network","year":2024,"lang":"","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Placemaking; Pedestrian; Downtown; Social connectedness; Feeling; Focus group; Crowds; Perception","score_opus":0.044254837437496204,"score_gpt":0.30364715815103616,"score_spread":0.25939232071353996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7125837990","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72482014,0.09069346,0.00076790195,0.01163527,0.0027771909,0.0011855644,0.0000048755096,0.00031533168,0.16780025],"genre_scores_gemma":[0.98476917,0.0023780812,0.00008914077,0.000098633966,0.0012588301,0.000025582536,0.000013083914,0.00002952747,0.011337925],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.9957305,0.00064282725,0.0009022887,0.0009763708,0.00091666623,0.00083134853],"domain_scores_gemma":[0.9979911,0.0005239956,0.00019187652,0.00060709944,0.00035702283,0.00032891097],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013415103,0.0004177807,0.0005792514,0.00014481269,0.0014059036,0.00086794794,0.0012032498,0.00036604947,0.0062239487],"category_scores_gemma":[0.00012255745,0.00026143793,0.0004887278,0.00419478,0.0026386234,0.0012176043,0.00011996531,0.00069430703,0.00014219769],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010971257,0.0005302292,0.033896692,0.00030513233,0.00069782435,0.000050791125,0.55996734,0.000080258535,0.00006198285,0.38006932,0.014060156,0.010170552],"study_design_scores_gemma":[0.0016754804,0.00071293005,0.08403771,0.00067639886,0.0010825817,0.0000018370056,0.18333927,0.041608483,0.0003250751,0.17794172,0.5062212,0.0023773483],"about_ca_topic_score_codex":0.019668747,"about_ca_topic_score_gemma":0.057309635,"teacher_disagreement_score":0.492161,"about_ca_system_score_codex":0.00031343487,"about_ca_system_score_gemma":0.0020295386,"threshold_uncertainty_score":0.9999838},"labels":[],"label_agreement":null},{"id":"W7126014671","doi":"10.1109/comcomap68359.2025.11353155","title":"Prioritization of Cycling Infrastructure Expansion: A Data-Driven, Multi-Criteria Approach","year":2025,"lang":"","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Canada West","funders":"","keywords":"Cycling; TRIPS architecture; Prioritization; Scheduling (production processes); Matching (statistics); Spatial planning","score_opus":0.04618604714740312,"score_gpt":0.3568800238244227,"score_spread":0.3106939766770196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7126014671","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.62281185,0.0014809269,0.33149642,0.00045852456,0.0024018043,0.0014141775,0.00029482186,0.00015597903,0.039485514],"genre_scores_gemma":[0.9665794,0.00022172344,0.030245712,0.00012513199,0.00020912712,0.0000063170337,0.0003136239,0.0000115663715,0.0022874284],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969155,0.00022864086,0.0010067374,0.0009534895,0.00048022464,0.0004153737],"domain_scores_gemma":[0.99810773,0.000090225636,0.0002993357,0.0010869715,0.00029277586,0.00012296585],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00076442613,0.00027885515,0.000549548,0.00015338161,0.0005128985,0.0001746739,0.0013994683,0.00038650585,0.00087125594],"category_scores_gemma":[0.00017773987,0.0002587072,0.00012576263,0.0014419716,0.00066658045,0.0011959551,0.0003222622,0.00029393676,0.000003260625],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018501241,0.00178054,0.90418917,0.0021716824,0.00029081688,0.0000052274518,0.024888476,0.0006551345,0.0048548584,0.014104691,0.0043936213,0.04248077],"study_design_scores_gemma":[0.002786064,0.0000628787,0.64612836,0.00068005547,0.00059280277,3.7344526e-7,0.023951681,0.31302947,0.0016950583,0.0028633168,0.007244117,0.0009658222],"about_ca_topic_score_codex":0.0010073581,"about_ca_topic_score_gemma":0.0006376815,"teacher_disagreement_score":0.34376752,"about_ca_system_score_codex":0.00007107803,"about_ca_system_score_gemma":0.0007212252,"threshold_uncertainty_score":0.9999865},"labels":[],"label_agreement":null},{"id":"W7127064345","doi":"10.18357/wg22201636","title":"Assessing walkability","year":2016,"lang":"","type":"article","venue":"Western Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trinity Western University","funders":"","keywords":"Walkability; Pedestrian; Index (typography); Catchment area; Built environment; Quality (philosophy)","score_opus":0.02853879674833667,"score_gpt":0.31827578258450967,"score_spread":0.289736985836173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7127064345","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9763878,0.0006950966,0.0011527734,0.0025630177,0.0021737348,0.0005355368,0.000046729765,0.00017652314,0.016268764],"genre_scores_gemma":[0.9975972,0.00017149243,0.00007806388,0.0002513145,0.0005250519,0.000014024201,0.000003893963,0.00002922174,0.0013297175],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9956118,0.00045100716,0.0007831659,0.0011707321,0.0008975606,0.001085737],"domain_scores_gemma":[0.99769354,0.0004179261,0.0003410309,0.0009504861,0.00020721751,0.00038981627],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015787514,0.0004123311,0.00054123177,0.0002114,0.0006553021,0.0006782003,0.00089746685,0.00036852446,0.0027695775],"category_scores_gemma":[0.00006795511,0.00028870767,0.0007288329,0.001075344,0.0016996937,0.0029321215,0.00010454993,0.00023924823,0.0005835378],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021645907,0.00024724627,0.94103295,0.0000708603,0.000055675795,0.0000054814877,0.0010541584,1.2413246e-7,0.00025820365,0.00007775571,0.000036931404,0.057138998],"study_design_scores_gemma":[0.0005943957,0.00005969706,0.9743011,0.0002506956,0.00009130679,1.9833456e-7,0.00060759316,0.0000010727231,0.00017790437,0.0027834566,0.020636644,0.00049592176],"about_ca_topic_score_codex":0.0012270104,"about_ca_topic_score_gemma":0.0014212162,"teacher_disagreement_score":0.056643076,"about_ca_system_score_codex":0.00009533937,"about_ca_system_score_gemma":0.00025490587,"threshold_uncertainty_score":0.9999565},"labels":[],"label_agreement":null},{"id":"W7127116943","doi":"10.18357/wg22201637","title":"Travel Mode and School Catchment Area","year":2016,"lang":"","type":"article","venue":"Western Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Trinity Western University; Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada; Strong","keywords":"Catchment area; Neighbourhood (mathematics); Physical activity; Mode choice; Mode (computer interface); Human factors and ergonomics; Data collection","score_opus":0.017164161746724867,"score_gpt":0.2745352134952808,"score_spread":0.25737105174855596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7127116943","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9847857,0.0015020696,0.0007996949,0.002179488,0.0006877106,0.0006087807,0.00014815536,0.000059639427,0.00922881],"genre_scores_gemma":[0.9938837,0.0015351602,0.000039118902,0.00032357787,0.00024405292,0.00002527267,0.000004788872,0.000020983989,0.0039233123],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99708885,0.0001227858,0.00051716605,0.0008869194,0.00060578797,0.0007785134],"domain_scores_gemma":[0.9985084,0.000109483386,0.00019393396,0.0005101594,0.00009205996,0.00058597483],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004276637,0.00036349264,0.00043651785,0.00019352425,0.00040436827,0.00021075946,0.00047296117,0.00024849674,0.0012470766],"category_scores_gemma":[0.000015312766,0.00025880552,0.0003112616,0.00045994984,0.00093336264,0.000726654,0.00007065513,0.00017658953,0.00022350493],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004573877,0.00016080258,0.9896915,0.00004875032,0.00007778374,0.0000054359143,0.001758429,2.8817445e-7,0.00023522774,0.00006942209,0.00013823736,0.0077684154],"study_design_scores_gemma":[0.00093496527,0.00010649236,0.990338,0.00021049632,0.000108863824,3.800137e-7,0.00072272983,0.000004679499,0.00016375308,0.0019882133,0.004976896,0.00044448674],"about_ca_topic_score_codex":0.0037283918,"about_ca_topic_score_gemma":0.0029159512,"teacher_disagreement_score":0.009098081,"about_ca_system_score_codex":0.000050037324,"about_ca_system_score_gemma":0.00014337967,"threshold_uncertainty_score":0.9999864},"labels":[],"label_agreement":null},{"id":"W7127337280","doi":"10.25316/ir-20559","title":"Determinants of commercial transportation mode choice for traveling from Vancouver Island","year":2025,"lang":"en","type":"dissertation","venue":"Open MIND","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mode choice; Mode (computer interface); Reliability (semiconductor); Key (lock); Quality (philosophy); Public transport","score_opus":0.048164712605905866,"score_gpt":0.39145529403477686,"score_spread":0.343290581428871,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7127337280","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97846204,0.00008129658,0.00013913448,0.000008458951,0.0011441098,0.0010523368,0.0022036228,0.0000017676629,0.016907237],"genre_scores_gemma":[0.9764559,0.000020214955,0.0014256553,0.000010147755,0.00020372438,0.00005322832,0.0029927301,0.000013849026,0.01882451],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9986334,0.000040376868,0.0005108386,0.00037924235,0.00024113795,0.00019503407],"domain_scores_gemma":[0.9990542,0.00021349186,0.00034102777,0.0001627956,0.00017746545,0.000051009712],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002646134,0.00016360216,0.00044741223,0.000044668068,0.00027139016,0.000080845755,0.00059629045,0.00032881784,0.0009574841],"category_scores_gemma":[0.00005721022,0.00017085788,0.00014593599,0.00013524602,0.000042303225,0.0003138806,0.0000033874483,0.00012646137,0.0000024009053],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011938673,0.0003543876,0.28069323,0.00034800978,0.00012243885,0.000003805744,0.091432504,0.00002459233,0.00033438025,0.000018761286,0.0020123385,0.62346166],"study_design_scores_gemma":[0.0035547477,0.00010298403,0.83423126,0.0016697292,0.001438337,5.8612137e-9,0.020927723,0.00034797363,0.021086488,0.0030927693,0.112396665,0.0011513106],"about_ca_topic_score_codex":0.046662062,"about_ca_topic_score_gemma":0.9671398,"teacher_disagreement_score":0.9204777,"about_ca_system_score_codex":0.000036358837,"about_ca_system_score_gemma":0.0006187849,"threshold_uncertainty_score":0.9999558},"labels":[],"label_agreement":null},{"id":"W7127974406","doi":"10.22260/crc-csce-2025/0212","title":"Enhancing Neighborhood-Specific Mobility Self-Efficacy In Older Adults: A Wearable-Based Urban Crowdsensing Approach","year":2025,"lang":"","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"AGE-WELL","keywords":"Crowdsensing; Work (physics); Focus (optics); Field (mathematics); Key (lock)","score_opus":0.012518219004767676,"score_gpt":0.26366767475768343,"score_spread":0.25114945575291575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7127974406","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8756669,0.0044917352,0.013653002,0.00075772323,0.0011541521,0.0032549442,0.000013749202,0.0004950466,0.10051275],"genre_scores_gemma":[0.99464154,0.00015391679,0.002843759,0.00045278587,0.00032443972,0.00006320048,0.000020543413,0.000043052347,0.0014567329],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99149823,0.00092653057,0.0021500865,0.0025438473,0.0010232128,0.0018581188],"domain_scores_gemma":[0.99656796,0.0008332496,0.00037495515,0.0013903433,0.00041228958,0.00042118668],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0034314597,0.00083603826,0.0012281857,0.0005425066,0.0012381207,0.0006743317,0.0010918356,0.00082132145,0.0014235318],"category_scores_gemma":[0.00020812413,0.0008379682,0.00059685984,0.005128587,0.0008845386,0.0009968102,0.00011942418,0.0012647461,0.000046754583],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012385851,0.04118928,0.85221994,0.0027806289,0.00022755862,0.000053302636,0.06378587,0.00042308224,0.00044174521,0.0061228336,0.0009949048,0.030522244],"study_design_scores_gemma":[0.0094736535,0.00011370215,0.9346858,0.002949605,0.00020941609,2.920155e-7,0.023233084,0.01988996,0.004178337,0.0006345497,0.0027725343,0.0018590415],"about_ca_topic_score_codex":0.004892497,"about_ca_topic_score_gemma":0.0053709345,"teacher_disagreement_score":0.11897467,"about_ca_system_score_codex":0.0010838555,"about_ca_system_score_gemma":0.001934789,"threshold_uncertainty_score":0.9994893},"labels":[],"label_agreement":null},{"id":"W7128539442","doi":"10.64903/1480-6800.22.1.1","title":"Assessing the Land Use Distribution of the Mass Rapid Transit Pedestrian Catchment Area (PCA) and its Geographical Context in the Kuala Lumpur Conurbation, Malaysia","year":2019,"lang":"","type":"article","venue":"Arab world geographer","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Land use; Distribution (mathematics); Context (archaeology); Land-use planning; Kuala lumpur; Conurbation; Catchment area; Urban planning","score_opus":0.023555783852488146,"score_gpt":0.2731510581717825,"score_spread":0.24959527431929435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7128539442","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9842447,0.0031732863,0.000053934647,0.008721834,0.00060585607,0.0020223486,0.00011426522,0.000019976587,0.0010437922],"genre_scores_gemma":[0.998548,0.00046764556,0.0000043091904,0.00044262546,0.00009911105,0.000050247643,0.000054850378,0.00001618116,0.0003170853],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99520534,0.0014478351,0.0009416609,0.00069857325,0.0010044303,0.00070213707],"domain_scores_gemma":[0.99739987,0.0009752103,0.0005155711,0.0007326674,0.0002483623,0.00012833663],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002945965,0.00040333983,0.0005221412,0.00012225367,0.0009374011,0.0007335671,0.0009343197,0.00022136883,0.0005715015],"category_scores_gemma":[0.00008151303,0.00022300195,0.00045493108,0.0030186148,0.0013692146,0.0009956177,0.000050503942,0.0007806621,0.000005962032],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006432554,0.00023682481,0.9918621,0.000059565868,0.000091753354,0.000002209056,0.0040695146,0.000051641444,0.00003873382,0.0015300474,0.00014063067,0.0018526308],"study_design_scores_gemma":[0.001172956,0.00005286708,0.98750645,0.0002128906,0.00025944537,8.675314e-7,0.0049245856,0.0005786789,0.000053031294,0.0012838597,0.003662831,0.0002915565],"about_ca_topic_score_codex":0.004062887,"about_ca_topic_score_gemma":0.012840452,"teacher_disagreement_score":0.014303238,"about_ca_system_score_codex":0.000040538678,"about_ca_system_score_gemma":0.00016405202,"threshold_uncertainty_score":0.90937555},"labels":[],"label_agreement":null},{"id":"W7128624086","doi":"10.1016/j.ypmed.2009.03.01","title":"Mapping the journey. Exploring children’s civic engagement during their school travel in suburban Paris.","year":2025,"lang":"en","type":"article","venue":"Document Server@UHasselt (UHasselt)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Autonomy; Context (archaeology); Identity (music); Social capital; Theme (computing); Citizenship; Independence (probability theory); Civic engagement; Mental health","score_opus":0.05113827777774904,"score_gpt":0.29382774195882355,"score_spread":0.2426894641810745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7128624086","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98415726,0.0014699053,0.00021087259,0.004686842,0.00092475436,0.001609481,0.000010641129,0.00025733732,0.0066728787],"genre_scores_gemma":[0.9955152,0.0010793175,0.00006666386,0.000443104,0.00043719023,0.0004483408,0.000033348562,0.000044793676,0.0019320227],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99434525,0.00093872234,0.0012084732,0.0010493675,0.0010248735,0.0014333104],"domain_scores_gemma":[0.9978672,0.00030786646,0.0003389827,0.0010135244,0.00014071558,0.00033170352],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0046965624,0.0005696729,0.0006681765,0.00051912066,0.002185608,0.00086400495,0.0017231142,0.00023872171,0.0009316866],"category_scores_gemma":[0.00019223113,0.00047534882,0.00038899115,0.0020240012,0.00032333194,0.0018857035,0.0002712591,0.0012877707,0.000059919184],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004986028,0.0003176044,0.9759025,0.000121728204,0.00020614149,0.00001995738,0.016477628,0.00007825827,0.000390906,0.004702105,0.0007663339,0.00096698466],"study_design_scores_gemma":[0.0015062396,0.000024072891,0.9678408,0.00036202048,0.000055553886,7.132906e-7,0.019054495,0.000020652196,0.0016866237,0.004992545,0.0039120596,0.00054422405],"about_ca_topic_score_codex":0.008451484,"about_ca_topic_score_gemma":0.011510514,"teacher_disagreement_score":0.011357931,"about_ca_system_score_codex":0.0011429287,"about_ca_system_score_gemma":0.0005669366,"threshold_uncertainty_score":0.9999816},"labels":[],"label_agreement":null},{"id":"W7130904333","doi":"","title":"Living Without a Car : A Canada-France Comparative Outlook","year":2017,"lang":"en","type":"dissertation","venue":"Open MIND","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Feeling; Social exclusion; Qualitative research; Public transport; Public policy; Order (exchange); Politics; Affect (linguistics); Car ownership; Qualitative property","score_opus":0.05983783845372346,"score_gpt":0.39048396239967925,"score_spread":0.33064612394595577,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7130904333","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.57129437,0.00018902258,5.9894785e-7,0.000046204343,0.0005541008,0.00047012776,0.000052085437,0.0000013196118,0.42739215],"genre_scores_gemma":[0.6762391,0.0000061483006,0.00010065261,0.000011429817,0.00013737907,0.000022592836,0.000118907796,0.000007978637,0.32335582],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984909,0.000090205984,0.00024393451,0.00045287717,0.00042288794,0.00029918167],"domain_scores_gemma":[0.99887294,0.00006572531,0.00038943044,0.0003673746,0.00016429248,0.00014026448],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00044481113,0.00019212696,0.00044782108,0.000023911836,0.0011087627,0.00054767006,0.0014152003,0.00017565893,0.003743877],"category_scores_gemma":[0.00006734881,0.00018918666,0.000060612445,0.0000664045,0.00012499756,0.00042044235,0.000023248533,0.00025043328,0.000060183313],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012013757,0.0001601271,0.6007788,0.000090590605,0.00020427063,0.00006176465,0.32077733,0.0000018216841,0.000089675246,0.000049275946,0.0061224718,0.071543746],"study_design_scores_gemma":[0.00018411002,0.000013500809,0.40925872,0.0005694888,0.0001005478,7.30774e-8,0.026446545,0.0000056869135,0.00024175076,0.000044606477,0.5626245,0.0005104265],"about_ca_topic_score_codex":0.90985173,"about_ca_topic_score_gemma":0.99914867,"teacher_disagreement_score":0.55650204,"about_ca_system_score_codex":0.00015606318,"about_ca_system_score_gemma":0.004917858,"threshold_uncertainty_score":0.9971668},"labels":[],"label_agreement":null},{"id":"W7132869533","doi":"","title":"Modeling the Bike Share Toronto Network","year":2022,"lang":"","type":"dissertation","venue":"TSpace","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Hudbay Minerals (Canada)","funders":"","keywords":"TRIPS architecture; Microsimulation; Order (exchange); Bike sharing; Management system; Work (physics)","score_opus":0.03567639518155583,"score_gpt":0.3753699338569266,"score_spread":0.3396935386753707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7132869533","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78726125,0.033808347,0.00024255154,0.0013098717,0.007116936,0.0015813059,0.000041271323,0.00019490159,0.16844355],"genre_scores_gemma":[0.92151713,0.0011403589,0.000046553592,0.00022029874,0.001907491,0.00014921866,0.00070399203,0.000053663443,0.07426127],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9960496,0.00038992535,0.0005812203,0.0008652385,0.0012124784,0.0009015527],"domain_scores_gemma":[0.9984333,0.00014816779,0.00033047004,0.0007074049,0.00018863166,0.00019204454],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014320355,0.00045822095,0.0004929629,0.0000195261,0.004531658,0.00031463633,0.0015894484,0.00036265957,0.06071024],"category_scores_gemma":[0.000058404203,0.00037483347,0.00044531384,0.0006085562,0.00014050058,0.0004188712,0.00008892167,0.00084461336,0.00004916523],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040827697,0.00027671605,0.015284435,0.00031426814,0.00029216424,0.000019037621,0.9003209,0.061900835,0.000019962437,0.0034296708,0.008627335,0.009106398],"study_design_scores_gemma":[0.00033564446,0.000092245464,0.007566406,0.00021715672,0.00050151045,2.0618351e-7,0.8327508,0.044149954,0.0000059255212,0.0018944829,0.11127681,0.0012088442],"about_ca_topic_score_codex":0.14176916,"about_ca_topic_score_gemma":0.37548327,"teacher_disagreement_score":0.2337141,"about_ca_system_score_codex":0.0004620138,"about_ca_system_score_gemma":0.00069745246,"threshold_uncertainty_score":0.99987036},"labels":[],"label_agreement":null},{"id":"W7132879525","doi":"","title":"Evaluating user preferences for public transit technologies in the Greater Toronto Area","year":2006,"lang":"","type":"dissertation","venue":"TSpace","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Preference; Public transport; Mode choice; Modal; Transit (satellite); Service (business); Mode (computer interface); Discrete choice","score_opus":0.13358123849589887,"score_gpt":0.4194420659802101,"score_spread":0.28586082748431124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7132879525","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97122693,0.0024633054,0.0002031545,0.001835139,0.0004528938,0.002716499,0.00002640068,0.00018006729,0.02089563],"genre_scores_gemma":[0.9882555,0.00013845957,0.0004680727,0.000033112916,0.00014992683,0.00083344535,0.00036910112,0.000028583807,0.009723824],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9960373,0.00032986607,0.0007527552,0.00096377963,0.0009999711,0.00091632723],"domain_scores_gemma":[0.9982148,0.0003596745,0.00045685537,0.00056671735,0.00035256852,0.00004938258],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0024755802,0.00052934606,0.0006167649,0.00011298138,0.0009563361,0.0005840286,0.0016284457,0.0008687365,0.00062228704],"category_scores_gemma":[0.00026398417,0.00036964766,0.00032563694,0.00063240377,0.0004083555,0.00083764247,0.000016340953,0.00046603038,0.0000057660036],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043378473,0.00072405284,0.41943288,0.0009103889,0.00014787875,0.0000067474584,0.5171856,0.00004593371,0.0005575567,0.0022229804,0.0012282339,0.057103958],"study_design_scores_gemma":[0.00089120056,0.00032486333,0.2793512,0.0003124724,0.00030791207,1.9546579e-7,0.70685446,0.00026611504,0.0006644275,0.005360456,0.004785209,0.00088149664],"about_ca_topic_score_codex":0.032321285,"about_ca_topic_score_gemma":0.531949,"teacher_disagreement_score":0.49962768,"about_ca_system_score_codex":0.00024402996,"about_ca_system_score_gemma":0.00050548144,"threshold_uncertainty_score":0.99987555},"labels":[],"label_agreement":null},{"id":"W7132905811","doi":"","title":"Estimating a Toronto Pedestrian Route Choice Model using Smartphone GPS Data: It&apos;s Not the Destination, but the Journey, that Matters","year":2017,"lang":"","type":"dissertation","venue":"TSpace","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Pedestrian; Global Positioning System; Mixed logit; Discrete choice; Preference; Choice set; Revealed preference; Set (abstract data type); Nested logit","score_opus":0.22657986223145413,"score_gpt":0.46428659909297737,"score_spread":0.23770673686152324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7132905811","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9461195,0.001191965,0.017104995,0.019086089,0.0046781963,0.0022432124,0.00021357635,0.00012977321,0.009232713],"genre_scores_gemma":[0.9734061,0.00018499195,0.0037702937,0.00096963136,0.0018413756,0.000053542586,0.0007128571,0.00010328445,0.018957924],"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9938522,0.0005260632,0.0010484816,0.0014884558,0.0019136444,0.0011711334],"domain_scores_gemma":[0.9922339,0.000955796,0.0027695873,0.0031684313,0.0005489791,0.00032332484],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.0045114267,0.0008867936,0.0008333982,0.000058318907,0.010559916,0.0031136232,0.0060227057,0.0005531508,0.00050994346],"category_scores_gemma":[0.0012731552,0.0006110726,0.00033892528,0.00027371655,0.0010216419,0.0036987858,0.0002657618,0.0011612873,0.000027453423],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007361262,0.0007873048,0.12331105,0.0015515573,0.0010643362,0.000058404683,0.8029589,0.029668264,0.0021253703,0.00031032655,0.012582003,0.024846325],"study_design_scores_gemma":[0.0015865249,0.000059611782,0.117132016,0.0016774329,0.0027150929,0.000011500585,0.17621547,0.6919934,0.00037320887,0.0010702536,0.004878528,0.0022869739],"about_ca_topic_score_codex":0.30892324,"about_ca_topic_score_gemma":0.37365785,"teacher_disagreement_score":0.66232514,"about_ca_system_score_codex":0.00067934755,"about_ca_system_score_gemma":0.0022076492,"threshold_uncertainty_score":0.9996341},"labels":[],"label_agreement":null},{"id":"W7132926359","doi":"","title":"A Social Equity Lens on Toronto Transit Network Performance using a Graph Theory Approach: Examining Criticality, Service Redundancy, Transit Delays and Disruptions","year":2022,"lang":"","type":"dissertation","venue":"TSpace","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Equity (law); Public transport; Transit (satellite); Vulnerability (computing); Through-the-lens metering; Service provider; Travel behavior; Census","score_opus":0.12165747032328557,"score_gpt":0.4183201021502351,"score_spread":0.2966626318269495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7132926359","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9417957,0.0022171664,0.0028969145,0.00041979554,0.00086756574,0.0013542286,0.00010278343,0.00018065517,0.05016521],"genre_scores_gemma":[0.9956864,0.0005944693,0.00047509623,0.00041865758,0.0010601665,0.00014610923,0.00054164056,0.00011174726,0.0009656858],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9924933,0.0014002937,0.0010766606,0.0017663111,0.0015841528,0.0016793],"domain_scores_gemma":[0.99788725,0.00040641453,0.00045229876,0.0005479378,0.00029454383,0.0004115749],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0036219468,0.00096628297,0.0012361978,0.00010997338,0.008071862,0.0004471828,0.00092707423,0.00084237225,0.0019346307],"category_scores_gemma":[0.00003841805,0.0011013971,0.0004651164,0.0013480055,0.0008749925,0.001231308,0.000111437934,0.0015308437,0.0000037158916],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002714462,0.0015350519,0.010700175,0.0036272747,0.0005325382,0.000024645593,0.9424827,0.0031274494,0.0004518061,0.02418754,0.000052209773,0.010564155],"study_design_scores_gemma":[0.0023610103,0.0008406949,0.17744246,0.0010842645,0.003971304,0.0000093251565,0.7918952,0.010172515,0.000046703033,0.0070211813,0.0013618332,0.0037935153],"about_ca_topic_score_codex":0.015155662,"about_ca_topic_score_gemma":0.053380914,"teacher_disagreement_score":0.16674228,"about_ca_system_score_codex":0.00054239365,"about_ca_system_score_gemma":0.0007414585,"threshold_uncertainty_score":0.9991436},"labels":[],"label_agreement":null},{"id":"W7132936505","doi":"","title":"Exploring the Associations Between the Visual Built Environment and Active Transport","year":2024,"lang":"","type":"dissertation","venue":"TSpace","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Public Health Agency; Public Health Agency of Canada","keywords":"Built environment; Perception; Context (archaeology); Proxy (statistics); Diversity (politics); Scale (ratio); Physical activity","score_opus":0.083454176823712,"score_gpt":0.3757400697917173,"score_spread":0.29228589296800533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7132936505","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9871195,0.0010784668,0.000037014648,0.0046448694,0.00093579694,0.0010080106,0.00010486908,0.000059943362,0.005011544],"genre_scores_gemma":[0.98659295,0.0017274133,0.000007063798,0.000039143924,0.0009267595,0.00019143567,0.0003643202,0.000043534645,0.010107405],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.996902,0.00026721242,0.00052487664,0.0007508137,0.0010063817,0.0005487324],"domain_scores_gemma":[0.99847883,0.00063824916,0.00033962203,0.00033551868,0.000053401123,0.00015437526],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0012021692,0.00043494152,0.0004687839,0.000063765794,0.002415225,0.00023889929,0.0005834661,0.00026341042,0.00035450247],"category_scores_gemma":[0.000041159095,0.00027598362,0.00031640762,0.0004948922,0.0006013592,0.000457071,0.00003319177,0.001116868,0.00008066133],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044342094,0.00010492538,0.19065996,0.00010144521,0.0006040535,0.000006134681,0.79080725,0.000012532685,0.000076659046,0.00034608797,0.00006460076,0.017172031],"study_design_scores_gemma":[0.00009956721,0.00003759928,0.84846205,0.00006453765,0.0010237901,3.985695e-8,0.14188866,0.0000094091,0.00034993215,0.0005980497,0.007161397,0.00030499464],"about_ca_topic_score_codex":0.011053559,"about_ca_topic_score_gemma":0.00865631,"teacher_disagreement_score":0.6578021,"about_ca_system_score_codex":0.00023198902,"about_ca_system_score_gemma":0.00026861398,"threshold_uncertainty_score":0.99996924},"labels":[],"label_agreement":null},{"id":"W7132955345","doi":"","title":"Transportation, Poverty, and Urban Dynamics","year":2022,"lang":"","type":"dissertation","venue":"TSpace","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Suburbanization; Poverty; Public transport; Distribution (mathematics); Central city; Public policy","score_opus":0.012601316004360784,"score_gpt":0.3360999578267938,"score_spread":0.32349864182243304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7132955345","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.953243,0.0027821441,0.00006907807,0.0013514525,0.0017971443,0.0008106183,0.00021689864,0.00012164866,0.03960799],"genre_scores_gemma":[0.8825251,0.00084998773,0.000061729654,0.0002614271,0.00021309685,0.000059524707,0.0044503314,0.000059334674,0.111519486],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9965201,0.0001818517,0.00065524474,0.0010047639,0.0010285527,0.00060949865],"domain_scores_gemma":[0.9984866,0.00012355033,0.0005154008,0.00037628898,0.00018030085,0.00031790527],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005639108,0.00050446,0.00060884655,0.00015139213,0.0017638152,0.0001896624,0.00055536506,0.0004489958,0.01201749],"category_scores_gemma":[0.000036765112,0.0005808933,0.00025749492,0.0008541166,0.00030382848,0.00038632305,0.00001241761,0.0007877784,0.000017872479],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028433866,0.00033411125,0.5654603,0.00055628084,0.00014946984,0.000037305443,0.41501933,0.000012853264,0.00004443867,0.0099530015,0.0044975285,0.0036510127],"study_design_scores_gemma":[0.00073770515,0.00016234927,0.59496856,0.00009330132,0.0005989167,3.0735274e-7,0.3113032,0.0003418849,0.000041680385,0.0016373835,0.088907,0.0012077141],"about_ca_topic_score_codex":0.015158974,"about_ca_topic_score_gemma":0.083790794,"teacher_disagreement_score":0.10371614,"about_ca_system_score_codex":0.0002810013,"about_ca_system_score_gemma":0.0006069656,"threshold_uncertainty_score":0.99966425},"labels":[],"label_agreement":null},{"id":"W7132959708","doi":"","title":"Unequal Spaces: Suburbs, Apartments, and Bicycles in a Global City","year":2022,"lang":"","type":"dissertation","venue":"TSpace","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Apartment; Cycling; TRIPS architecture; Multinomial logistic regression; Sustainability; Recreation; Population; Built environment; Psychological intervention; Survey data collection","score_opus":0.029867737691712214,"score_gpt":0.390418407464711,"score_spread":0.3605506697729988,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7132959708","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97201926,0.00489405,0.0000067216797,0.00052165,0.0011007112,0.00093451404,0.00012263637,0.00007047074,0.020329984],"genre_scores_gemma":[0.9891106,0.0008731773,0.000054878095,0.00007326466,0.00015778809,0.00008589145,0.0005569727,0.000024693516,0.009062718],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9956656,0.00049800274,0.0006707178,0.0012139606,0.0010829392,0.00086874294],"domain_scores_gemma":[0.99858975,0.00013894617,0.0004804196,0.00038152502,0.000081567116,0.0003277987],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011714926,0.000556562,0.0007816111,0.00014307044,0.0009783119,0.00029729103,0.0006153834,0.00046374882,0.0057272697],"category_scores_gemma":[0.00011122624,0.000616989,0.00019757604,0.0015778113,0.0004739495,0.00039854355,0.000095781885,0.0006720176,0.000017094115],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027794242,0.00043328232,0.9105156,0.00020878954,0.00005873169,0.000049562303,0.08476348,0.000010612642,0.000028854662,0.001277404,0.00019009071,0.0021856606],"study_design_scores_gemma":[0.00090887217,0.00012522914,0.7998539,0.00012607561,0.0001454624,3.083468e-7,0.18239087,0.000049168724,0.00003580185,0.00208062,0.013515981,0.00076771755],"about_ca_topic_score_codex":0.09438141,"about_ca_topic_score_gemma":0.19679876,"teacher_disagreement_score":0.11066169,"about_ca_system_score_codex":0.0005676942,"about_ca_system_score_gemma":0.0007758571,"threshold_uncertainty_score":0.9996281},"labels":[],"label_agreement":null},{"id":"W7132967337","doi":"","title":"Toward Feminist Geographies of Cycling","year":2020,"lang":"","type":"dissertation","venue":"TSpace","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; University of Toronto","keywords":"Cycling; Underpinning; Refugee; Immigration; Intersectionality; Embodied cognition; Identity (music); Mode of transport","score_opus":0.04345311492860009,"score_gpt":0.37246240174173956,"score_spread":0.32900928681313946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7132967337","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87222224,0.002058975,0.000044380224,0.00081896357,0.0013361382,0.0004548426,0.000021038113,0.00008103715,0.122962385],"genre_scores_gemma":[0.99258566,0.00089361856,0.00023640099,0.000068975336,0.00038785403,0.0000140844795,0.00021371483,0.000033846532,0.00556586],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9969528,0.00012507412,0.00082361413,0.00073767774,0.0008709002,0.0004899622],"domain_scores_gemma":[0.99813145,0.0001655313,0.00088021415,0.00031858505,0.00023066445,0.00027352737],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00046359186,0.00041636283,0.00086111197,0.0001610061,0.0005105438,0.000112516616,0.00080405606,0.0005285546,0.0013944221],"category_scores_gemma":[0.00016813935,0.00044137987,0.0005974455,0.0014516214,0.0007809624,0.00015706434,0.000030860887,0.000536939,0.000044959663],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003244065,0.00025230303,0.29971585,0.001923237,0.00022369933,0.000021155252,0.6908259,0.0000037208258,0.0015813928,0.0021508036,0.0003108824,0.0026666662],"study_design_scores_gemma":[0.00065913994,0.0002643474,0.18014053,0.00086843444,0.0008642517,1.9270122e-7,0.7702508,0.00005514882,0.0127649745,0.0018878891,0.030914502,0.00132982],"about_ca_topic_score_codex":0.0073614847,"about_ca_topic_score_gemma":0.0027204766,"teacher_disagreement_score":0.12036341,"about_ca_system_score_codex":0.000028364335,"about_ca_system_score_gemma":0.00045061126,"threshold_uncertainty_score":0.9998038},"labels":[],"label_agreement":null},{"id":"W7132973554","doi":"","title":"Analytics for Better Urban Cycling","year":2025,"lang":"","type":"dissertation","venue":"TSpace","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cycling; Context (archaeology); Metric (unit); Investment (military); Plan (archaeology); Bike sharing; Urban planning; Mode (computer interface)","score_opus":0.03964735128100741,"score_gpt":0.40161449018066486,"score_spread":0.3619671388996575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7132973554","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9096174,0.0013038383,0.004135293,0.0022348606,0.0038450712,0.0016121265,0.00005841841,0.00011689816,0.077076055],"genre_scores_gemma":[0.7412804,0.00011732262,0.00078298233,0.00030876487,0.0011503178,0.000068577254,0.00071396556,0.00003203819,0.25554565],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9970983,0.00008639092,0.00068274763,0.0008808238,0.0005252838,0.0007264108],"domain_scores_gemma":[0.9980548,0.00041002937,0.0004719547,0.0004570472,0.0004195336,0.00018664592],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00074455945,0.00044698516,0.00069165346,0.00018946423,0.0011114716,0.00025865526,0.0007094959,0.0007347095,0.0007769509],"category_scores_gemma":[0.00022569708,0.00047880242,0.00062152947,0.0008002751,0.0001626697,0.00020910848,0.000018873601,0.00047392078,0.000021269949],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010955603,0.0010908387,0.459587,0.0062035923,0.0013912383,0.000019786086,0.43868896,0.00014634813,0.001048173,0.006805588,0.043404024,0.040518865],"study_design_scores_gemma":[0.0037600095,0.00039119273,0.15364054,0.003106147,0.006845288,1.086643e-7,0.25540513,0.005510545,0.008690971,0.017132543,0.5404439,0.005073643],"about_ca_topic_score_codex":0.0022938754,"about_ca_topic_score_gemma":0.008303899,"teacher_disagreement_score":0.49703985,"about_ca_system_score_codex":0.00014323367,"about_ca_system_score_gemma":0.00080451835,"threshold_uncertainty_score":0.99976635},"labels":[],"label_agreement":null},{"id":"W7132980351","doi":"","title":"Gentrification, Mobility and Automobility; A quantitative study of local driving mode share and commute time in Montréal, Toronto and Vancouver","year":2023,"lang":"","type":"dissertation","venue":"TSpace","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"University of Toronto","keywords":"Gentrification; Metropolitan area; Mode (computer interface); Scale (ratio); Displacement (psychology); Public transport; Census","score_opus":0.02380799618058749,"score_gpt":0.37063513666102565,"score_spread":0.34682714048043817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7132980351","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9922756,0.0046905284,0.00007056898,0.00004875728,0.00017521546,0.0023933752,0.000054862536,0.00006054266,0.0002305341],"genre_scores_gemma":[0.99722064,0.0007663005,0.0000937708,0.000005543293,0.000019797362,0.00012697314,0.00008657646,0.000032755623,0.001647653],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9962091,0.0005991396,0.00097031926,0.0011958589,0.00059096934,0.0004346292],"domain_scores_gemma":[0.9976752,0.00067453476,0.0005467051,0.0005092787,0.00036206076,0.00023221431],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0015538072,0.00045825826,0.0010012651,0.000111532616,0.00051960954,0.00011102643,0.00029393972,0.00037407817,0.00019593867],"category_scores_gemma":[0.00020503378,0.00047252764,0.000070447015,0.0005245204,0.00071535894,0.00065389095,0.000098215634,0.00037740625,0.0000024865333],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036294502,0.0013765111,0.4021722,0.00062127155,0.00011767201,0.0000063743337,0.5926301,0.00007608746,0.0001694351,0.00004031545,0.00012893553,0.002298122],"study_design_scores_gemma":[0.000706302,0.00026467475,0.56097794,0.00016683506,0.00011456571,5.532792e-8,0.43151683,0.0057285028,0.000022314225,0.00021683531,0.000018935101,0.0002661962],"about_ca_topic_score_codex":0.34606475,"about_ca_topic_score_gemma":0.93416196,"teacher_disagreement_score":0.5880972,"about_ca_system_score_codex":0.00026012518,"about_ca_system_score_gemma":0.00023053453,"threshold_uncertainty_score":0.99977267},"labels":[],"label_agreement":null},{"id":"W7132995517","doi":"","title":"Multifaceted Investigations on Transit Demand Resilience: A Roadmap for Developing Sustainable Urban Transit Policies","year":2023,"lang":"","type":"dissertation","venue":"TSpace","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transit (satellite); Pandemic; Public transport; Mode choice; Travel behavior; Work (physics); Event (particle physics); Supply and demand","score_opus":0.042702205088731196,"score_gpt":0.3862630896640622,"score_spread":0.343560884575331,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7132995517","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9787848,0.00053686724,0.0038896943,0.0069281952,0.0009775048,0.0046285233,0.00007609038,0.0004770895,0.0037012564],"genre_scores_gemma":[0.8428958,0.00020433214,0.0008350142,0.0002614192,0.00043028095,0.00058225985,0.0008805313,0.00011153368,0.15379883],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99375653,0.00033420045,0.0011951545,0.0015809615,0.0011858627,0.0019472701],"domain_scores_gemma":[0.9964785,0.0007968612,0.000596583,0.0006114696,0.0010102025,0.00050640793],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0016134785,0.0009270618,0.0011077081,0.00063963636,0.0042184023,0.0005401768,0.0010515596,0.0010758898,0.00015084412],"category_scores_gemma":[0.00079126685,0.000992724,0.0006037637,0.003147021,0.000860024,0.00063944625,0.00001916182,0.0007518281,0.00007115937],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00074948516,0.00028851168,0.010457196,0.0032402985,0.0002914654,0.00002882301,0.96273774,0.0017614526,0.0019232396,0.01328547,0.003755657,0.0014806499],"study_design_scores_gemma":[0.002713678,0.00050618715,0.14364281,0.0018858304,0.0009071714,4.046786e-7,0.79562163,0.0014653095,0.014395776,0.0067563183,0.02931,0.0027948834],"about_ca_topic_score_codex":0.01997077,"about_ca_topic_score_gemma":0.030059027,"teacher_disagreement_score":0.16711612,"about_ca_system_score_codex":0.0005602593,"about_ca_system_score_gemma":0.0031880406,"threshold_uncertainty_score":0.9992523},"labels":[],"label_agreement":null},{"id":"W7132995677","doi":"","title":"An Equity Evaluation of Bus Prioritization Measures within the Toronto Transit Commission’s 5-year Service Plan 10-year Outlook","year":2022,"lang":"","type":"dissertation","venue":"TSpace","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Institute on Aging; University of Toronto; Government of Ontario","keywords":"Equity (law); Prioritization; Public transport; Commission; Service (business); Plan (archaeology); Bus rapid transit","score_opus":0.08241034667978321,"score_gpt":0.42527920734123253,"score_spread":0.34286886066144934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7132995677","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92471004,0.0021793202,0.00011983433,0.0007676472,0.0016979225,0.0029961085,0.00013753695,0.00012563447,0.06726594],"genre_scores_gemma":[0.9925372,0.00011005164,0.00008756739,0.00006400483,0.00033515441,0.00012359518,0.0017583548,0.00005944753,0.004924603],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.98992646,0.002593823,0.0010924699,0.0009525635,0.0049161697,0.0005185033],"domain_scores_gemma":[0.995128,0.00016587786,0.001224666,0.0010171059,0.002176413,0.00028794337],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.009544863,0.00053625193,0.0007004743,0.00007885227,0.0021628244,0.00024613182,0.0016642368,0.00055069133,0.021073097],"category_scores_gemma":[0.0002648299,0.00046968646,0.000261469,0.00085234636,0.00023259906,0.00093307154,0.000054983902,0.0006154375,0.00001860276],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018917116,0.001098598,0.018987097,0.00076768344,0.00026157376,0.0000019139043,0.95941246,0.0031183425,0.0038054108,0.0019716925,0.00059075427,0.008092793],"study_design_scores_gemma":[0.002090889,0.00044347244,0.14728609,0.00034179035,0.0021956326,3.3842082e-7,0.8342448,0.004558693,0.0019958105,0.0019212359,0.003868252,0.0010530135],"about_ca_topic_score_codex":0.08838332,"about_ca_topic_score_gemma":0.40111017,"teacher_disagreement_score":0.31272686,"about_ca_system_score_codex":0.00089239364,"about_ca_system_score_gemma":0.0028628327,"threshold_uncertainty_score":0.99977547},"labels":[],"label_agreement":null},{"id":"W7133004038","doi":"","title":"Predicting Salaries in the Greater Toronto Area: A Bayesian Approach","year":2024,"lang":"","type":"dissertation","venue":"TSpace","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Salary; Bayesian probability; Work (physics); Core (optical fiber); Point (geometry); Task (project management); Key (lock)","score_opus":0.02774038934581665,"score_gpt":0.3414242227421239,"score_spread":0.3136838333963073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7133004038","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76233286,0.0043970263,0.00008457014,0.0006853493,0.0010031519,0.0010494188,0.000010750476,0.00010128309,0.23033558],"genre_scores_gemma":[0.97448117,0.00014432095,0.000089201494,0.00008080726,0.0006460806,0.00017732158,0.00025018223,0.0000434847,0.024087407],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.996273,0.00037805803,0.0006235201,0.0010030931,0.0009719084,0.0007504151],"domain_scores_gemma":[0.99886954,0.00015394636,0.00023655115,0.000525046,0.00009356443,0.00012134934],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0017189553,0.0005210311,0.0005455619,0.00007469501,0.00076852355,0.0007742066,0.0009976295,0.0006304517,0.0010557129],"category_scores_gemma":[0.00008429791,0.00036656734,0.00030717917,0.00070121966,0.0003404945,0.0005467502,0.000032413223,0.0008909377,0.00002530012],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000719906,0.00013030494,0.19907555,0.00049576536,0.000059513215,0.000024686626,0.79860395,0.0000048570646,0.000011581009,0.00064036954,0.00030912715,0.00057230005],"study_design_scores_gemma":[0.00019289373,0.000048849255,0.22960891,0.00039533226,0.0002979529,7.54868e-7,0.7653321,0.0009425808,0.000020521278,0.0008125745,0.001875506,0.0004719959],"about_ca_topic_score_codex":0.099522084,"about_ca_topic_score_gemma":0.30845734,"teacher_disagreement_score":0.21214832,"about_ca_system_score_codex":0.00029491054,"about_ca_system_score_gemma":0.00043318718,"threshold_uncertainty_score":0.99987864},"labels":[],"label_agreement":null},{"id":"W7133022528","doi":"","title":"A Problem Oriented Approach to Urban Transportation Planning","year":2022,"lang":"","type":"dissertation","venue":"TSpace","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transportation planning; Urban planning; Land-use planning; Land use; Relevance (law); Environmental design and planning; Strategic planning; Regional planning","score_opus":0.02847542331156719,"score_gpt":0.36073039998610945,"score_spread":0.3322549766745423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7133022528","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8611703,0.00073938817,0.0013874158,0.00023810139,0.001290903,0.0027588494,0.00008222136,0.00025470462,0.13207814],"genre_scores_gemma":[0.9118306,0.000023260396,0.0019332758,0.00013370176,0.00039521386,0.0006864754,0.006162827,0.00009632392,0.07873831],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99443215,0.00029094567,0.0009659381,0.0015861965,0.00171454,0.0010102275],"domain_scores_gemma":[0.99794066,0.000083565785,0.00065238273,0.000505115,0.00027717897,0.00054111937],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010290178,0.0006754009,0.0007931145,0.00035057124,0.002012176,0.00018596079,0.0008991589,0.00048209226,0.0032143733],"category_scores_gemma":[0.000037295005,0.0007698419,0.00039067146,0.0027171047,0.00014553934,0.00040931703,0.000015312597,0.0010514259,0.000047058933],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00058909773,0.0007625984,0.07317172,0.0005690154,0.000105280655,0.000017016897,0.91777545,0.00086429494,0.00023775766,0.0023029894,0.002692043,0.00091272884],"study_design_scores_gemma":[0.00089327496,0.00031917394,0.16680683,0.00029432485,0.0005171756,2.4885088e-7,0.6031423,0.00017075923,0.00021307921,0.00022056645,0.22578992,0.0016322879],"about_ca_topic_score_codex":0.009840433,"about_ca_topic_score_gemma":0.0025057907,"teacher_disagreement_score":0.3146331,"about_ca_system_score_codex":0.0003540746,"about_ca_system_score_gemma":0.0008272108,"threshold_uncertainty_score":0.99947524},"labels":[],"label_agreement":null},{"id":"W7133023123","doi":"","title":"Analysis of mode split and related factors for selected study areas in the Greater Toronto Area","year":2006,"lang":"","type":"dissertation","venue":"TSpace","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mode (computer interface); Transit (satellite); TRIPS architecture; Urban area; Public transport; Mode choice","score_opus":0.025471136323494646,"score_gpt":0.3576838736417321,"score_spread":0.33221273731823747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7133023123","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9941497,0.0004050037,0.000015575448,0.00003748533,0.00010883351,0.0020725452,0.00006799885,0.000022304794,0.0031205632],"genre_scores_gemma":[0.9932954,0.000026494454,0.000009043437,0.000003986626,0.000021879518,0.00008029016,0.0011836116,0.000019123792,0.005360228],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970572,0.00034268785,0.00081583834,0.00075032027,0.0006002109,0.00043373753],"domain_scores_gemma":[0.9982128,0.00035633254,0.0005772365,0.00041065688,0.0003674434,0.000075523094],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008049683,0.00040943184,0.0009987337,0.00022134259,0.00037040302,0.000105855535,0.00046590174,0.00040745665,0.00042428708],"category_scores_gemma":[0.00010014883,0.0002951672,0.00033236333,0.0022785715,0.00015965513,0.00025285338,0.000010030192,0.0002296954,2.877058e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014038064,0.00041343193,0.6785057,0.000042374704,0.0006433261,0.0000015243511,0.3200588,0.000058209032,0.000032842785,0.000017946248,0.000013340169,0.00007211019],"study_design_scores_gemma":[0.00043213184,0.00012299955,0.75786436,0.000025271102,0.0035147865,1.5510754e-8,0.23692279,0.00076367945,0.00003429973,0.000074381984,0.000009646147,0.0002356148],"about_ca_topic_score_codex":0.27712402,"about_ca_topic_score_gemma":0.7413173,"teacher_disagreement_score":0.46419325,"about_ca_system_score_codex":0.00016589834,"about_ca_system_score_gemma":0.00016689347,"threshold_uncertainty_score":0.99995005},"labels":[],"label_agreement":null},{"id":"W7133045675","doi":"","title":"What&apos;s &quot;Quickest and Easiest?&quot; Parental Perspectives of the Trip To and From School","year":2009,"lang":"en","type":"dissertation","venue":"TSpace","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Thematic analysis; Diversity (politics); Value (mathematics); Qualitative research; Mode (computer interface); Travel behavior","score_opus":0.02383416041043726,"score_gpt":0.37526170663242653,"score_spread":0.35142754622198924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7133045675","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98481643,0.006495086,9.3799224e-7,0.001463933,0.0005136775,0.00048201618,0.000026446243,0.0000262449,0.00617523],"genre_scores_gemma":[0.9826944,0.0008183626,0.000063160835,0.00006363027,0.00022724095,0.000010102041,0.000055528486,0.0000124873695,0.016055116],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9986885,0.00010054253,0.00019975928,0.00042199015,0.0003753086,0.00021389964],"domain_scores_gemma":[0.99923813,0.00007569934,0.00017107553,0.00023105709,0.00010510662,0.00017891101],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020417734,0.00019234935,0.00030597867,0.000054101045,0.00033930584,0.00023827086,0.00028045912,0.00020864728,0.00019400385],"category_scores_gemma":[0.00016476162,0.00015170964,0.00008575979,0.00023825227,0.00023002736,0.00032335293,0.000017726597,0.00023621901,0.000004613339],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019557877,0.00014700856,0.3675515,0.00006360833,0.000057307134,0.0000029087325,0.6236113,4.0939014e-7,0.0006718305,0.0004548348,0.0008734724,0.006370274],"study_design_scores_gemma":[0.00014863751,0.00002883249,0.6021452,0.00015941926,0.000053235657,4.9941956e-8,0.39516804,4.224241e-7,0.00019392474,0.00059433444,0.0013740348,0.00013385],"about_ca_topic_score_codex":0.017161975,"about_ca_topic_score_gemma":0.0789983,"teacher_disagreement_score":0.23459373,"about_ca_system_score_codex":0.00006822559,"about_ca_system_score_gemma":0.00023658927,"threshold_uncertainty_score":0.9893828},"labels":[],"label_agreement":null},{"id":"W7133061893","doi":"","title":"Mulheres, Get on your Bikes!: Critical Consciousness Building and Women’s Cycling Mobility Spaces in Brazil","year":2022,"lang":"","type":"dissertation","venue":"TSpace","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Toronto; Government of Canada","keywords":"Cycling; Latin Americans; Interpersonal ties; Social justice; Economic Justice; Critical consciousness","score_opus":0.027068703062514857,"score_gpt":0.41199700267725925,"score_spread":0.3849282996147444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7133061893","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9891485,0.0023148844,0.000021416752,0.0013003371,0.002002731,0.0010340952,0.00006153586,0.00012254198,0.0039939843],"genre_scores_gemma":[0.9953625,0.00041769492,0.00011805358,0.00019203775,0.00028299954,0.000291754,0.00008394953,0.000068294896,0.0031827108],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9929355,0.0011126602,0.0010534137,0.0020048285,0.0013727596,0.0015208704],"domain_scores_gemma":[0.9963703,0.001810973,0.00043399844,0.0006217101,0.00018921193,0.0005738054],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0042523947,0.0007828913,0.0012150699,0.00041925785,0.0019151252,0.0005745076,0.0008154327,0.00071181025,0.0052698446],"category_scores_gemma":[0.0016175489,0.00086885033,0.00022789578,0.0011803095,0.0012343713,0.00054234744,0.00012589795,0.0019137328,0.000013401963],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013088784,0.00176727,0.49325994,0.001573525,0.00008400674,0.00016900725,0.49143642,0.0001541071,0.0010562764,0.0036950323,0.00008216178,0.0054133767],"study_design_scores_gemma":[0.0014805163,0.00040246165,0.30682367,0.0006682683,0.00014349789,0.0000012893119,0.6759424,0.0005258619,0.00061189145,0.006063154,0.0055444636,0.0017925202],"about_ca_topic_score_codex":0.024895906,"about_ca_topic_score_gemma":0.02833012,"teacher_disagreement_score":0.18643628,"about_ca_system_score_codex":0.00097585074,"about_ca_system_score_gemma":0.0008173814,"threshold_uncertainty_score":0.9993842},"labels":[],"label_agreement":null},{"id":"W7133077422","doi":"","title":"Peddlers or Pedalers? The Bicycle Trades and Street Redesign Policies of Mexico City","year":2025,"lang":"","type":"dissertation","venue":"TSpace","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mainstream; Promotion (chess); Ethnography; Cycling; Mexico city; Quarter (Canadian coin); Exploratory research; Urban planning; Qualitative research","score_opus":0.06730764595410008,"score_gpt":0.3961228451284957,"score_spread":0.3288151991743956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7133077422","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97049886,0.0016781203,0.000033359553,0.002204554,0.00047715413,0.0008564944,0.000057335386,0.000046728383,0.024147408],"genre_scores_gemma":[0.95162004,0.0010847284,0.000052447474,0.00007035242,0.00014594554,0.000024238927,0.000050134102,0.000017226534,0.046934873],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99708134,0.00035843402,0.0006481194,0.0006531429,0.00071792206,0.0005410515],"domain_scores_gemma":[0.9978166,0.00070051913,0.0006206254,0.0004918014,0.00020682949,0.00016362876],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009508517,0.00044898578,0.00071646995,0.00015986405,0.0011218042,0.00017085095,0.0008198637,0.0004734807,0.0007865803],"category_scores_gemma":[0.0002858823,0.0003106135,0.000265059,0.0011164853,0.001199759,0.00025370403,0.00003672733,0.0004712321,0.0000015123807],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00093888916,0.00040377243,0.44728646,0.0012697938,0.0003295614,0.0000060760876,0.5410414,0.00002786772,0.0009646256,0.0020029454,0.0014761194,0.004252498],"study_design_scores_gemma":[0.00040055477,0.00014459144,0.5008609,0.00038659002,0.0004736178,1.249259e-7,0.49146274,0.00004881823,0.0035131054,0.0008833177,0.0013885701,0.0004370501],"about_ca_topic_score_codex":0.054371506,"about_ca_topic_score_gemma":0.10244619,"teacher_disagreement_score":0.05357445,"about_ca_system_score_codex":0.00006259692,"about_ca_system_score_gemma":0.0011198735,"threshold_uncertainty_score":0.9999346},"labels":[],"label_agreement":null},{"id":"W7134595173","doi":"","title":"Original quantitative research\\nExploring and visualizing the small-area-level socioeconomic factors, alcohol availability and built environment influences of alcohol expenditure for the City of Toronto:\\na spatial analysis approach","year":2019,"lang":"en","type":"article","venue":"Europe PMC (PubMed Central)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Built environment; Socioeconomic status; Statistical analysis; Quantitative analysis (chemistry); Alcohol; Spatial analysis","score_opus":0.169838373695373,"score_gpt":0.35225757049536255,"score_spread":0.18241919679998955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7134595173","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955442,0.0014926989,0.00066675525,0.00015622843,0.00012561177,0.0015040835,0.00012878365,0.000013775784,0.00036789075],"genre_scores_gemma":[0.9986547,0.0006577741,0.0003949249,0.000010386188,0.00007380434,0.00008436608,0.000015399852,0.000012458667,0.000096160395],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972612,0.000555763,0.0004798035,0.00056625594,0.00047113566,0.00066584203],"domain_scores_gemma":[0.99789834,0.001117458,0.00030804804,0.00041256243,0.00009974546,0.00016383846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036027548,0.0001911866,0.00041510226,0.000044747732,0.0005360816,0.00010370864,0.0005723971,0.000085478656,0.00020306921],"category_scores_gemma":[0.00023582451,0.00012229178,0.00016279447,0.00016126796,0.0013350019,0.0004308971,0.00012121444,0.0002353495,9.825121e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000120525925,0.00009008532,0.9431087,0.000056668865,0.00031102623,1.840962e-7,0.053679194,0.000041757383,0.0003032434,0.0007054971,0.0000070272454,0.0015760934],"study_design_scores_gemma":[0.00035899205,0.000054871416,0.98562,0.000009067629,0.00021913552,5.4314874e-8,0.010932865,0.00019944344,0.00097247306,0.00020485344,0.0012941958,0.00013404526],"about_ca_topic_score_codex":0.029034482,"about_ca_topic_score_gemma":0.008522184,"teacher_disagreement_score":0.04274633,"about_ca_system_score_codex":0.00017504102,"about_ca_system_score_gemma":0.00013012854,"threshold_uncertainty_score":0.97743124},"labels":[],"label_agreement":null},{"id":"W7134742565","doi":"","title":"Time patterns of daily mobility in Mexico City Metropolitan Area, 1994-2007","year":2016,"lang":"es","type":"article","venue":"Revistes Científiques de la University of Barcelona (University of Barcelona)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Mexico city; City environment; Quarter (Canadian coin)","score_opus":0.01174080082032334,"score_gpt":0.23800956301180942,"score_spread":0.2262687621914861,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7134742565","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96933794,0.0005336635,0.0019654492,0.0006681674,0.000064101354,0.00061453856,0.0009679399,0.00007295436,0.02577523],"genre_scores_gemma":[0.99125737,0.0025773596,0.001110612,0.000020152846,0.000033222903,1.0908216e-7,0.000032559656,0.000022501858,0.0049460917],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99496484,0.001481149,0.00062177493,0.0010085487,0.0010655561,0.0008581342],"domain_scores_gemma":[0.9960095,0.0011451894,0.0010612322,0.0008361471,0.00046498823,0.00048294265],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0028044546,0.0004704594,0.0014364355,0.00067039893,0.0004340472,0.00002709718,0.001984572,0.00059382105,0.0048720236],"category_scores_gemma":[0.00016472467,0.00053923926,0.00086981576,0.0011211177,0.0050718747,0.000989768,0.00053948094,0.00040965856,0.000020695077],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00069337414,0.0014611448,0.97228724,0.0010540799,0.00020770308,0.000094425064,0.011002735,0.00000942353,0.0031370777,0.0052084816,0.00039781208,0.0044464767],"study_design_scores_gemma":[0.0028704375,0.00036201472,0.9538704,0.0019938643,0.00039051814,0.0000019938336,0.023135167,0.00020144673,0.0010461078,0.0011144605,0.014283113,0.000730434],"about_ca_topic_score_codex":0.019619947,"about_ca_topic_score_gemma":0.003579885,"teacher_disagreement_score":0.021919433,"about_ca_system_score_codex":0.001439298,"about_ca_system_score_gemma":0.0006270056,"threshold_uncertainty_score":0.9997059},"labels":[],"label_agreement":null},{"id":"W7135186686","doi":"10.6084/m9.figshare.31697600.v1","title":"Additional file 1 of Evaluating the implementation of active transportation infrastructure during the pandemic: a RE-AIM study","year":2025,"lang":"","type":"article","venue":"Figshare","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; McGill University; Toronto Metropolitan University; Simon Fraser University","funders":"","keywords":"Key (lock); Work (physics); Process (computing); Public transport","score_opus":0.04204230797008293,"score_gpt":0.38055420073890883,"score_spread":0.3385118927688259,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7135186686","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20350116,0.000031407133,1.926828e-7,0.00005029839,0.00003939835,0.0011562839,0.7945486,0.000011338188,0.0006613282],"genre_scores_gemma":[0.6583243,0.0000010925585,0.000009006232,0.000019731091,0.00006763026,0.00064709736,0.34073293,0.0000049164405,0.00019328757],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99774855,0.00032344562,0.00068469695,0.0003116284,0.0007090693,0.00022258477],"domain_scores_gemma":[0.99630976,0.0020999108,0.000807359,0.00026075682,0.00049325504,0.00002898876],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00023076526,0.0001686385,0.00023858086,0.000055489418,0.0007704905,0.000040776264,0.0005138649,0.000103347666,0.98914623],"category_scores_gemma":[0.00088736904,0.000112573354,0.00017995609,0.0008775681,0.000093671406,0.00033645314,0.00002852045,0.00029565184,0.00001239807],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015948672,0.00017968749,0.029288556,0.00046471582,0.00029423213,8.6437655e-7,0.08038495,0.000107252905,0.000055180473,0.0000070956708,0.85454684,0.03451112],"study_design_scores_gemma":[0.0003636417,0.00008968358,0.898919,0.0009656681,0.00009421073,2.8823365e-8,0.09209777,0.000042443826,0.0001214017,0.00023551301,0.006981143,0.00008949775],"about_ca_topic_score_codex":0.00038352792,"about_ca_topic_score_gemma":0.011267535,"teacher_disagreement_score":0.98913383,"about_ca_system_score_codex":0.00009738354,"about_ca_system_score_gemma":0.0009146825,"threshold_uncertainty_score":0.628755},"labels":[],"label_agreement":null},{"id":"W7135208026","doi":"10.6084/m9.figshare.31697600","title":"Additional file 1 of Evaluating the implementation of active transportation infrastructure during the pandemic: a RE-AIM study","year":2025,"lang":"","type":"article","venue":"Figshare","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; McGill University; Toronto Metropolitan University; Simon Fraser University","funders":"","keywords":"Key (lock); Work (physics); Process (computing); Public transport","score_opus":0.04204230797008293,"score_gpt":0.38055420073890883,"score_spread":0.3385118927688259,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7135208026","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20350116,0.000031407133,1.926828e-7,0.00005029839,0.00003939835,0.0011562839,0.7945486,0.000011338188,0.0006613282],"genre_scores_gemma":[0.6583243,0.0000010925585,0.000009006232,0.000019731091,0.00006763026,0.00064709736,0.34073293,0.0000049164405,0.00019328757],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99774855,0.00032344562,0.00068469695,0.0003116284,0.0007090693,0.00022258477],"domain_scores_gemma":[0.99630976,0.0020999108,0.000807359,0.00026075682,0.00049325504,0.00002898876],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00023076526,0.0001686385,0.00023858086,0.000055489418,0.0007704905,0.000040776264,0.0005138649,0.000103347666,0.98914623],"category_scores_gemma":[0.00088736904,0.000112573354,0.00017995609,0.0008775681,0.000093671406,0.00033645314,0.00002852045,0.00029565184,0.00001239807],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015948672,0.00017968749,0.029288556,0.00046471582,0.00029423213,8.6437655e-7,0.08038495,0.000107252905,0.000055180473,0.0000070956708,0.85454684,0.03451112],"study_design_scores_gemma":[0.0003636417,0.00008968358,0.898919,0.0009656681,0.00009421073,2.8823365e-8,0.09209777,0.000042443826,0.0001214017,0.00023551301,0.006981143,0.00008949775],"about_ca_topic_score_codex":0.00038352792,"about_ca_topic_score_gemma":0.011267535,"teacher_disagreement_score":0.98913383,"about_ca_system_score_codex":0.00009738354,"about_ca_system_score_gemma":0.0009146825,"threshold_uncertainty_score":0.628755},"labels":[],"label_agreement":null},{"id":"W7137874666","doi":"10.1108/s2044-994120250000020016","title":"Gender and the Transition to Net Zero Transport","year":2025,"lang":"en","type":"book-chapter","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Inequality; Climate change; Zero (linguistics); Net (polyhedron); Greenhouse gas; Psychological intervention; Quarter (Canadian coin); Safety net","score_opus":0.02589250596147978,"score_gpt":0.27185456096286886,"score_spread":0.24596205500138907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7137874666","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0003358293,0.0003849331,0.0041765254,0.002957263,0.00020556872,0.0006755998,0.00004741774,0.0000799894,0.99113685],"genre_scores_gemma":[0.25431508,0.00021494174,0.000119004224,0.0022297422,0.0001835871,0.000013091586,0.000036156158,0.000011802914,0.7428766],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988848,0.000025658599,0.0002500026,0.000339646,0.00031280788,0.00018708273],"domain_scores_gemma":[0.99952036,0.000074384814,0.000039346658,0.00019988912,0.000060222163,0.00010577092],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005319047,0.00017711031,0.0002835177,0.0000569458,0.00034293853,0.000043620148,0.00022335172,0.0002549823,0.0019145693],"category_scores_gemma":[0.0000047498793,0.000119658645,0.00015844774,0.0000461885,0.00046031526,0.00009137053,0.000006435953,0.00020674863,0.000017475148],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010676123,0.000009373118,0.00030097982,0.000046209003,0.000055545086,0.0000054475954,0.010303964,0.0000012844239,6.859246e-7,0.979533,0.005138244,0.00449849],"study_design_scores_gemma":[0.00066897005,0.0000141139,0.004110103,0.00006878448,0.00028591,1.5871737e-7,0.00038909516,0.0000036328233,0.000003628675,0.23831223,0.75578266,0.00036070112],"about_ca_topic_score_codex":0.0016612636,"about_ca_topic_score_gemma":0.0064854897,"teacher_disagreement_score":0.75064445,"about_ca_system_score_codex":0.000029631301,"about_ca_system_score_gemma":0.00017559521,"threshold_uncertainty_score":0.9989978},"labels":[],"label_agreement":null},{"id":"W7139535472","doi":"","title":"Public Bikesharing in North America During a Period of Rapid Expansion: Understanding Business Models, Industry Trends & User Impacts, MTI Report 12-29","year":2014,"lang":"","type":"article","venue":"San José State University ScholarWorks (San Jose State University)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Public transport; TRIPS architecture; Position (finance); Phase (matter); Information technology; Information system; Key (lock)","score_opus":0.04688514766072591,"score_gpt":0.22652924113149267,"score_spread":0.17964409347076676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7139535472","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96597016,0.00015658604,0.009058112,0.00060304493,0.0005593457,0.00059714186,0.00043887694,0.00024902335,0.02236771],"genre_scores_gemma":[0.98841935,0.0013022328,0.00037442808,0.000030895317,0.00010634534,3.4528566e-7,0.00019313596,0.00008965142,0.009483642],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9905977,0.0017986913,0.0013271674,0.0022927795,0.0015487984,0.0024348116],"domain_scores_gemma":[0.9939688,0.00020416494,0.0018054761,0.0015051995,0.000881163,0.0016352052],"candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001825865,0.0011512096,0.0016681737,0.0045789047,0.0030196914,0.00061533507,0.0023814235,0.0009369162,0.0015905867],"category_scores_gemma":[0.0001900465,0.00149008,0.00065421953,0.014144069,0.0022838905,0.0108508505,0.0009146302,0.0037262351,0.000009211903],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021263703,0.0011876031,0.9124253,0.0005173892,0.0006166657,0.008201398,0.05038867,0.012290054,0.00016352111,0.00069504295,0.00017684344,0.011211188],"study_design_scores_gemma":[0.010909734,0.0004624853,0.77645427,0.001446502,0.00067647384,0.00003232938,0.17608622,0.0027944664,0.000063600186,0.000572854,0.02693918,0.0035618981],"about_ca_topic_score_codex":0.006570473,"about_ca_topic_score_gemma":0.06237921,"teacher_disagreement_score":0.135971,"about_ca_system_score_codex":0.0034909274,"about_ca_system_score_gemma":0.0018860309,"threshold_uncertainty_score":0.9993221},"labels":[],"label_agreement":null},{"id":"W7139674139","doi":"","title":"Leisure Engagement and Travel Demand: Insights for Cultivating Toronto into a Lovable City","year":2025,"lang":"","type":"dissertation","venue":"TSpace (University of Toronto)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Interdependence; Metropolitan area; Urban planning; Work (physics); Population; Urban studies; Census; Spatialization; Social network analysis; Focus (optics)","score_opus":0.026945004675004637,"score_gpt":0.2976690382169014,"score_spread":0.2707240335418967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7139674139","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9095276,0.007928613,0.00421649,0.00031133543,0.00065152347,0.0019742905,0.000056855937,0.000055498178,0.07527778],"genre_scores_gemma":[0.9565324,0.0024225004,0.00329541,0.000012884026,0.00010525325,0.0000040904224,0.00027099272,0.000017328424,0.037339102],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99720556,0.00026938136,0.0003917302,0.001020214,0.0005747298,0.00053836935],"domain_scores_gemma":[0.9978006,0.00026012876,0.0007189963,0.0003858603,0.0005685686,0.00026587665],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009227105,0.00049799524,0.00103105,0.000052711846,0.002542591,0.000081093094,0.00074520975,0.00068247184,0.005600822],"category_scores_gemma":[0.00008759372,0.00062511093,0.00041691549,0.00014839457,0.00029369,0.0018354789,0.000117954354,0.00028319223,0.0000014634122],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001316282,0.0005960372,0.029952426,0.0035073864,0.00073122163,0.0000075545236,0.9134447,0.000008220708,0.0021187775,0.0030103785,0.0006283449,0.04467868],"study_design_scores_gemma":[0.0017085898,0.00022841498,0.38824934,0.0005803272,0.00069556,4.08873e-8,0.60340935,0.00038567785,0.00026405507,0.0003075564,0.003552186,0.00061894144],"about_ca_topic_score_codex":0.75055504,"about_ca_topic_score_gemma":0.94300675,"teacher_disagreement_score":0.3582969,"about_ca_system_score_codex":0.0011122609,"about_ca_system_score_gemma":0.0006965334,"threshold_uncertainty_score":0.99962},"labels":[],"label_agreement":null},{"id":"W71469171","doi":"","title":"Immigrant Settlement and Transit Use in Canada: Patterns and Policy Implications","year":2010,"lang":"en","type":"article","venue":"Transportation Research Board 89th Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Immigration; Metropolitan area; Settlement (finance); Government (linguistics); Public transport; Economic growth; Public policy; Immigration policy; Political science; Geography; Regional science; Business; Economics","score_opus":0.056527931768525844,"score_gpt":0.38898066314779634,"score_spread":0.3324527313792705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W71469171","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98205596,0.00010326792,0.00011684619,0.013305116,0.00011724421,0.0018796363,0.0018522962,0.000085232816,0.00048440997],"genre_scores_gemma":[0.9970965,0.00077672617,0.00057533936,0.00016039018,0.00019591524,0.0003902193,0.00039209778,0.00005366192,0.00035918408],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99191165,0.0009176883,0.0011266137,0.001188583,0.0029379271,0.0019175148],"domain_scores_gemma":[0.9949806,0.001430956,0.00014016112,0.00051819585,0.0017919246,0.0011381912],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0056163743,0.00035292385,0.0004808326,0.0012002093,0.001595234,0.0003285665,0.00058447785,0.000297348,0.00030456117],"category_scores_gemma":[0.00050746545,0.0003727688,0.00009506299,0.0022570065,0.0014129676,0.0013001958,0.000013224981,0.002240814,0.0000064754304],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020780845,0.00013608868,0.9635436,0.00016930644,0.000026144082,0.00006596176,0.017745918,0.000029524972,0.0010122474,0.01241186,0.00029577073,0.004355794],"study_design_scores_gemma":[0.0009930918,0.00008270608,0.96672803,0.00009016066,0.000017512108,1.6942435e-7,0.018211337,0.000025463121,0.00019873421,0.001439285,0.011863285,0.00035022586],"about_ca_topic_score_codex":0.99179083,"about_ca_topic_score_gemma":0.99965703,"teacher_disagreement_score":0.015040516,"about_ca_system_score_codex":0.0004707431,"about_ca_system_score_gemma":0.004741279,"threshold_uncertainty_score":0.99987245},"labels":[],"label_agreement":null},{"id":"W7161215982","doi":"","title":"Approaching walkability through ambiance as a strategy for fostering inhabitant agency with regard to the walkability of suburban environments: the cases of Eybens, France and Brossard, Canada","year":2024,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Walkability; Agency (philosophy); International agency; Work (physics)","score_opus":0.023709172184579075,"score_gpt":0.2574436773098169,"score_spread":0.2337345051252378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7161215982","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97773206,0.001666872,0.010039458,0.0062293215,0.00006030709,0.0008129928,0.000098714954,0.000024354107,0.0033359013],"genre_scores_gemma":[0.9975563,0.00009186841,0.0014942056,0.00005269845,0.00001181049,0.000058256286,0.0000121498915,0.000010742398,0.00071193307],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974041,0.0011983815,0.00036193288,0.00041410216,0.000379506,0.0002419875],"domain_scores_gemma":[0.9972114,0.001504335,0.00015122788,0.0008054682,0.0002538618,0.00007372481],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041008266,0.0001307234,0.00019986866,0.000017280987,0.00054037024,0.00012282899,0.00057487295,0.000047803598,0.000024458688],"category_scores_gemma":[0.00075989583,0.00008629352,0.00006721275,0.00034961413,0.0006665074,0.00022950098,0.00011931607,0.00015746884,3.491837e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026571666,0.0009791439,0.41726762,0.0018158364,0.0002654693,0.000014023442,0.30052134,0.0003688669,0.0062058065,0.10195583,0.00062852923,0.16971181],"study_design_scores_gemma":[0.0013290312,0.000026976595,0.7181664,0.0029641215,0.0002828643,0.0000122468355,0.01994633,0.003923998,0.0813432,0.01853418,0.15223415,0.0012364814],"about_ca_topic_score_codex":0.4484343,"about_ca_topic_score_gemma":0.7762899,"teacher_disagreement_score":0.32785562,"about_ca_system_score_codex":0.00009725633,"about_ca_system_score_gemma":0.00044206885,"threshold_uncertainty_score":0.55523866},"labels":[],"label_agreement":null},{"id":"W7161783083","doi":"10.82308/18839","title":"Urban journeys unveiled : a study of work commutes among the Montreal disadvantaged","year":2006,"lang":"en","type":"dissertation","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Census; Disadvantaged; Metropolitan area; Diversity (politics); Work (physics); Urban planning; Journey to work; Inequality","score_opus":0.013004318254379359,"score_gpt":0.29945682593965955,"score_spread":0.2864525076852802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7161783083","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8784136,0.00021341405,0.000003100214,0.00006206916,0.00035244925,0.00095745415,0.000008228988,0.000068601265,0.11992107],"genre_scores_gemma":[0.94579625,0.0000131993065,0.000011279977,0.000008616592,0.00020436863,0.000045633253,0.00021612993,0.000019829744,0.053684708],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977327,0.0003895053,0.0005803008,0.00030380947,0.00069106044,0.00030259867],"domain_scores_gemma":[0.99860644,0.00028470554,0.00043903606,0.00043686916,0.00015629722,0.00007664218],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074301905,0.00023769104,0.00044487327,0.0000725342,0.00078729895,0.000118402844,0.0008179683,0.00020897978,0.00039961972],"category_scores_gemma":[0.00005443223,0.00015251755,0.0001941619,0.0005522799,0.00025027888,0.00019722273,0.000014185606,0.00043386314,0.0000037647826],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006679687,0.00072581053,0.9375985,0.000018362942,0.000064985616,0.000003552109,0.055226486,0.000002412917,0.0000020657292,0.00009229384,0.005306804,0.0008919119],"study_design_scores_gemma":[0.0003359029,0.000041299194,0.8913396,0.000042820873,0.0001551271,5.499731e-9,0.10720825,0.0000013706359,0.000016098253,0.00041288274,0.00028237587,0.00016424397],"about_ca_topic_score_codex":0.14678362,"about_ca_topic_score_gemma":0.8501737,"teacher_disagreement_score":0.70339006,"about_ca_system_score_codex":0.00004958595,"about_ca_system_score_gemma":0.00017355692,"threshold_uncertainty_score":0.85889804},"labels":[],"label_agreement":null},{"id":"W7161795595","doi":"10.82308/41974","title":"Towards a better implementation of accessibility indicators in land use and transport planning practice","year":2019,"lang":"en","type":"dissertation","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transportation planning; Land-use planning; Land use; Context (archaeology); Metropolitan area; Order (exchange); Urban planning; Population","score_opus":0.032504820305181696,"score_gpt":0.3952456519016954,"score_spread":0.3627408315965137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7161795595","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98770744,0.00011469824,0.00001867429,0.00013251747,0.00019030167,0.00062478165,0.000044399407,0.00002408221,0.011143108],"genre_scores_gemma":[0.99812156,0.000048470934,0.0002888089,0.0000897837,0.0000360969,0.000018045439,0.0005616128,0.000012826349,0.0008228003],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982249,0.00010350012,0.00056947395,0.00041067385,0.0004604918,0.0002309234],"domain_scores_gemma":[0.9990652,0.00016504801,0.00042098458,0.00017044733,0.00010936541,0.0000689594],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000988283,0.00016714886,0.00034727008,0.0003216873,0.00008867225,0.00006665993,0.00018839921,0.00029000454,0.00037882145],"category_scores_gemma":[0.00007343996,0.00015422178,0.00006412991,0.00048753334,0.00008065435,0.001446485,0.0000060344137,0.0002583975,9.997245e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010606712,0.00005510182,0.9653055,0.00017964694,0.0000226218,0.000003882533,0.029030664,3.1110903e-7,0.00001474239,0.00012951103,0.000011149592,0.0051408163],"study_design_scores_gemma":[0.00038210393,0.000020344425,0.97267747,0.00006738816,0.000076050725,4.0057156e-8,0.025435403,8.347335e-7,0.00027170585,0.0001976794,0.0007071334,0.00016382092],"about_ca_topic_score_codex":0.049652673,"about_ca_topic_score_gemma":0.08039479,"teacher_disagreement_score":0.030742114,"about_ca_system_score_codex":0.00006545602,"about_ca_system_score_gemma":0.000446746,"threshold_uncertainty_score":0.95667577},"labels":[],"label_agreement":null},{"id":"W7161828403","doi":"10.82308/55569","title":"Fostering Active Neighbourhoods: Exploring the Role of Parental Social Support in the Relationship between the Built Environment and Children’s Physical Activity.","year":2024,"lang":"en","type":"dissertation","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Moderation; Built environment; Neighbourhood (mathematics); Social support; Physical activity; Social environment; Social relation","score_opus":0.07170096423395712,"score_gpt":0.3358006393510639,"score_spread":0.2640996751171068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7161828403","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98859566,0.00007748597,0.0000015330615,0.0005674685,0.000099295954,0.0005546513,0.000043641794,0.000017189843,0.010043098],"genre_scores_gemma":[0.99897987,0.000020054524,0.000001403481,0.000008025999,0.00050783827,0.00013221896,0.000103644925,0.000014463174,0.00023245795],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985648,0.00023764292,0.00019552116,0.00028853735,0.0004938931,0.00021960182],"domain_scores_gemma":[0.9990519,0.0006101845,0.00013809573,0.00016416833,0.000009063491,0.000026566626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005324148,0.00017317313,0.00021581302,0.00004033516,0.00066080963,0.00011155829,0.0004142518,0.00010885599,0.000041834435],"category_scores_gemma":[0.000031998825,0.00009191504,0.00014372078,0.00017006439,0.0002518314,0.00029810215,0.00006769185,0.0006119382,0.0000046548253],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027301865,0.00006862244,0.78101784,0.000018277571,0.000042586886,4.300112e-7,0.1803479,4.978514e-7,0.000025055817,0.0016769234,0.000008606627,0.036765967],"study_design_scores_gemma":[0.000060132654,0.000015109368,0.9238258,0.000020654017,0.000112076435,6.0616706e-8,0.06592255,0.00000215325,0.00027240347,0.009598295,0.00006884674,0.00010193857],"about_ca_topic_score_codex":0.0036730284,"about_ca_topic_score_gemma":0.0064189774,"teacher_disagreement_score":0.14280795,"about_ca_system_score_codex":0.00007745716,"about_ca_system_score_gemma":0.000084759384,"threshold_uncertainty_score":0.55525446},"labels":[],"label_agreement":null},{"id":"W7161883108","doi":"10.82308/30554","title":"Understanding bicycle sharing systems: user and system insights from three cities in North America","year":2017,"lang":"en","type":"dissertation","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Perspective (graphical); Limiting; Urban planning; Public investment","score_opus":0.0844934807659583,"score_gpt":0.29782371665793966,"score_spread":0.21333023589198136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7161883108","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8738993,0.0011438024,0.0001211651,0.000010698147,0.0008255129,0.00037370363,0.000028368311,0.0001036716,0.12349382],"genre_scores_gemma":[0.9938755,0.000069507914,0.000014109115,0.0000047953504,0.00021327235,0.000027450273,0.00030385476,0.00001965934,0.0054718587],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99846023,0.000047152324,0.00036569196,0.00049640605,0.00037148537,0.00025901032],"domain_scores_gemma":[0.99916214,0.000084251034,0.0003043104,0.00030712003,0.00004490806,0.00009728604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013305922,0.00021094145,0.0004493389,0.0001532046,0.00080292736,0.00060664595,0.00043916606,0.00025461896,0.000052745927],"category_scores_gemma":[0.000022094247,0.00018776197,0.00005845459,0.00013654033,0.00015772879,0.0005655067,0.000016327174,0.00021751615,0.000007430279],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022195456,0.00001036123,0.9762018,0.00035264296,0.000033476386,0.000015049392,0.017032694,0.000004127634,0.0000030617794,0.0061883065,0.00002607967,0.00011020994],"study_design_scores_gemma":[0.00018602534,0.0000072408643,0.8299273,0.00072580914,0.000049010472,2.8726502e-8,0.16671476,0.0001774485,0.0000028079082,0.0013645329,0.0005245047,0.00032050363],"about_ca_topic_score_codex":0.16512659,"about_ca_topic_score_gemma":0.8769292,"teacher_disagreement_score":0.71180266,"about_ca_system_score_codex":0.00038646025,"about_ca_system_score_gemma":0.00014931758,"threshold_uncertainty_score":0.8404329},"labels":[],"label_agreement":null},{"id":"W7161945200","doi":"10.82308/50711","title":"Methods to Estimate Carbon Dioxide Emissions Reduction and Low-Stress Bicycle Accessibility for School-Related Trips: a Montreal Case Study","year":2023,"lang":"en","type":"dissertation","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"TRIPS architecture; Cycling; Metric (unit); Index (typography); Poison control; Road traffic; Public transport; Vehicle type","score_opus":0.03899342120941069,"score_gpt":0.44661745130599695,"score_spread":0.40762403009658627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7161945200","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9903048,0.00015499374,0.00007516899,0.00012197253,0.0013785324,0.0038805348,0.00006955596,0.0004990746,0.003515319],"genre_scores_gemma":[0.9682797,0.000014068746,0.002036191,0.0000057191023,0.0001922762,0.0006308734,0.00029389758,0.00006232951,0.028484937],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9963686,0.00052558724,0.00090314186,0.0012302874,0.00042335727,0.00054901646],"domain_scores_gemma":[0.99785006,0.00036812725,0.00031723146,0.00049964397,0.00034783347,0.00061708275],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0024786012,0.00040466693,0.00068451697,0.0003022818,0.0010443367,0.00024152835,0.00034713923,0.00052789605,0.00009622157],"category_scores_gemma":[0.0012840391,0.0003597648,0.00019320601,0.0010753409,0.00009838911,0.000351342,0.000039443614,0.0004097437,0.0000030416008],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002043437,0.003581074,0.5487671,0.001613377,0.0008985585,0.00084259047,0.23157914,0.00012889781,0.00453754,0.000060416794,0.0006801568,0.20526773],"study_design_scores_gemma":[0.0014949172,0.00022393749,0.7323642,0.00032800328,0.0008855149,0.0000056336326,0.25786203,0.00052799855,0.0019241252,0.0033859538,0.000046632173,0.0009511016],"about_ca_topic_score_codex":0.14957492,"about_ca_topic_score_gemma":0.31266323,"teacher_disagreement_score":0.20431662,"about_ca_system_score_codex":0.00022107332,"about_ca_system_score_gemma":0.0005575815,"threshold_uncertainty_score":0.99988544},"labels":[],"label_agreement":null},{"id":"W7161952861","doi":"10.82308/11557","title":"Incorporating social space into pedestrian planning","year":2018,"lang":"en","type":"dissertation","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Pedestrian; Walkability; Socioeconomic status; Urban planning; Public space; Transportation planning; Poison control; Intersection (aeronautics); Public transport; Land-use planning","score_opus":0.03500453976085574,"score_gpt":0.36790509938638893,"score_spread":0.3329005596255332,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7161952861","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5949953,0.00006978061,0.000052997315,0.0002323978,0.00084651355,0.00017114292,0.0000025103973,0.00014546078,0.4034839],"genre_scores_gemma":[0.9557384,0.000002776798,0.0010771002,0.000037738788,0.00249208,0.000011736332,0.00046608402,0.00002239696,0.04015166],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9985149,0.00007760386,0.00029788978,0.000361681,0.00046050784,0.00028744523],"domain_scores_gemma":[0.9992739,0.000040281077,0.00030511073,0.0001108529,0.00017280609,0.00009707062],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005743522,0.00018587308,0.00025613894,0.00008232059,0.0015631969,0.00019761948,0.00034495085,0.00046669244,0.00094506954],"category_scores_gemma":[0.00010047144,0.00018426088,0.000118163785,0.00030160593,0.00018276254,0.00027608997,0.000009308587,0.0002772144,0.00006511099],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034525892,0.00017317737,0.42861813,0.00057222595,0.000120681856,0.00005488208,0.5002092,5.412743e-7,0.00024905347,0.025014073,0.024058042,0.020584712],"study_design_scores_gemma":[0.00094441255,0.00019024908,0.38193572,0.00050285604,0.0003035065,1.6305154e-7,0.38760838,0.000022085313,0.0011116092,0.09786701,0.12708013,0.0024338972],"about_ca_topic_score_codex":0.013713655,"about_ca_topic_score_gemma":0.12251281,"teacher_disagreement_score":0.36333224,"about_ca_system_score_codex":0.00010423378,"about_ca_system_score_gemma":0.000662707,"threshold_uncertainty_score":0.99996823},"labels":[],"label_agreement":null},{"id":"W7161958172","doi":"10.82308/8312","title":"Cycling for Everyone: Incorporating Equity Principles into Transportation Planning Process","year":2024,"lang":"en","type":"dissertation","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cycling; Disadvantaged; Equity (law); Public transport; Transportation planning; Process (computing); Travel behavior; Private transport","score_opus":0.06606802143877667,"score_gpt":0.423684397701669,"score_spread":0.35761637626289233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7161958172","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95341027,0.0013439732,0.0024973229,0.00007205295,0.0016591854,0.0013282505,0.00004718407,0.00051536004,0.039126392],"genre_scores_gemma":[0.9755929,0.000011268727,0.0015269322,0.000028881399,0.0006275353,0.00024943496,0.0033434299,0.000052775555,0.018566854],"study_design_codex":"qualitative","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99757665,0.000032979875,0.0007216207,0.0006576548,0.0006260821,0.0003850006],"domain_scores_gemma":[0.99890417,0.00014020309,0.0003799599,0.0001450117,0.00030715286,0.00012348262],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010072223,0.0002904275,0.00037562317,0.00015067794,0.0008056386,0.00029939678,0.00040391108,0.00047412,0.000088788474],"category_scores_gemma":[0.00014458338,0.00027991127,0.00021916218,0.00041566408,0.000082984,0.00057876884,0.0000049404193,0.00036866177,0.000008892356],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007460359,0.00034395637,0.30044857,0.022298152,0.00038037737,0.000047219983,0.6187531,0.0012869603,0.0013376585,0.034954827,0.0010572306,0.018345958],"study_design_scores_gemma":[0.0013803435,0.00024185385,0.26132888,0.0070439596,0.0017593722,1.9535725e-7,0.3311444,0.0023702318,0.01299381,0.36202598,0.01562262,0.0040883496],"about_ca_topic_score_codex":0.0022563462,"about_ca_topic_score_gemma":0.08775949,"teacher_disagreement_score":0.32707116,"about_ca_system_score_codex":0.00015008305,"about_ca_system_score_gemma":0.0009720786,"threshold_uncertainty_score":0.9999653},"labels":[],"label_agreement":null},{"id":"W7161962247","doi":"10.82308/26288","title":"Triggers of travel behavior change: From abrupt disruptions to lasting effects","year":2025,"lang":"en","type":"dissertation","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Poison control; Transport policy; Behavioral analysis","score_opus":0.041262868275064125,"score_gpt":0.36770730340357227,"score_spread":0.3264444351285081,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7161962247","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9482796,0.00019651896,0.00010701546,0.00007995032,0.0014043313,0.0014800557,0.00016969767,0.00007136049,0.048211437],"genre_scores_gemma":[0.9713563,0.000023086219,0.00032952323,0.000047119804,0.00025740106,0.0005158585,0.00084952626,0.0000126750865,0.026608547],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998604,0.00006711914,0.00034151183,0.0003700564,0.00036829925,0.00024901482],"domain_scores_gemma":[0.99915135,0.0002508062,0.00014530594,0.00018975983,0.000134985,0.00012778168],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020435544,0.00017739744,0.00037763052,0.00016011711,0.0002668357,0.00004337999,0.00032170085,0.00029603316,0.0005791759],"category_scores_gemma":[0.00014294221,0.0001695641,0.00018622534,0.000504137,0.000042752436,0.00014609694,0.000008151491,0.00017747712,0.000012852545],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030454426,0.0015327898,0.42197374,0.0013637606,0.0002573743,0.000032721422,0.17466308,0.0000016556373,0.0077808327,0.005212144,0.0015359574,0.3853414],"study_design_scores_gemma":[0.0001985984,0.000027072652,0.9866751,0.00039195214,0.0003340111,3.76541e-9,0.008185858,0.0000017658117,0.0030137182,0.00020793667,0.00072271505,0.00024129754],"about_ca_topic_score_codex":0.048484102,"about_ca_topic_score_gemma":0.16549765,"teacher_disagreement_score":0.5647013,"about_ca_system_score_codex":0.0000662703,"about_ca_system_score_gemma":0.00024357351,"threshold_uncertainty_score":0.9578521},"labels":[],"label_agreement":null},{"id":"W7161964109","doi":"10.82308/17703","title":"Contextualizing Walkability","year":2022,"lang":"en","type":"dissertation","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Walkability; Multitude; Variety (cybernetics); Diversity (politics); Pedestrian; Built environment; Field (mathematics); Metric (unit); Urban planning","score_opus":0.02806592573861658,"score_gpt":0.3631786379427142,"score_spread":0.3351127122040976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7161964109","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3973564,0.00030816157,0.000002771356,0.00009747007,0.0010422027,0.0002304839,0.000011501784,0.00013667019,0.60081434],"genre_scores_gemma":[0.7859939,0.000024673836,0.000026493975,0.0000748334,0.00013668672,0.000039484847,0.00058667234,0.000011431637,0.21310583],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984985,0.00014666325,0.00025778756,0.00034149043,0.0005138055,0.00024176114],"domain_scores_gemma":[0.99942183,0.00008763575,0.0001102829,0.0002145385,0.000081845785,0.00008384119],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007667827,0.00012196674,0.0002103398,0.00004684837,0.000850314,0.000064476655,0.00036678917,0.00016587916,0.06377408],"category_scores_gemma":[0.00012033384,0.0001223153,0.00015576379,0.00021276523,0.000080473335,0.0001498719,0.000009157868,0.00030765455,0.00003473694],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003425645,0.00076942175,0.4265582,0.0005616055,0.00016889394,0.0000340823,0.26285487,0.000001224699,0.00014274204,0.17370434,0.027488677,0.10737339],"study_design_scores_gemma":[0.0001642227,0.000019696701,0.13714568,0.000016923499,0.000058521593,1.9847459e-8,0.11833469,0.0000011918784,0.00009550173,0.008926852,0.7347902,0.00044650427],"about_ca_topic_score_codex":0.022681678,"about_ca_topic_score_gemma":0.170604,"teacher_disagreement_score":0.7073015,"about_ca_system_score_codex":0.00016877468,"about_ca_system_score_gemma":0.000453188,"threshold_uncertainty_score":0.9838264},"labels":[],"label_agreement":null},{"id":"W7161966277","doi":"10.82308/38826","title":"Features of the Neighbourhood Built Environment and Their Ability to Predict Fitness in Youth: A Random Forest Approach","year":2025,"lang":"en","type":"dissertation","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Neighbourhood (mathematics); Cardiorespiratory fitness; Cohort; Physical activity; Built environment; Random forest; Cycling; Covariate; Level design","score_opus":0.015275610915111136,"score_gpt":0.25720175864214834,"score_spread":0.2419261477270372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7161966277","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.937488,0.0003917298,0.000087906024,0.00018209379,0.0002071722,0.0014169337,0.00014426895,0.000018236402,0.060063668],"genre_scores_gemma":[0.99515206,0.000044691194,0.000047027388,0.000026401878,0.000046712863,0.00007000904,0.0001818208,0.0000073428414,0.0044239378],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99847054,0.00018218542,0.00036299837,0.0004424743,0.00031619822,0.00022558348],"domain_scores_gemma":[0.9992498,0.00014880192,0.00012557239,0.00037072657,0.0000337129,0.000071391274],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071121455,0.00020684501,0.0004044259,0.00006770638,0.00020354046,0.000042614207,0.0005057807,0.0002788897,0.00008569848],"category_scores_gemma":[0.00013800815,0.00012300196,0.00015043563,0.0002655187,0.00016350509,0.00008185605,0.0000390707,0.000261702,2.4386526e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050238107,0.00038004434,0.9129766,0.00039591105,0.000039018218,2.0946958e-7,0.07558247,0.00005533357,0.00003931199,0.0009617396,0.00006902193,0.00899796],"study_design_scores_gemma":[0.0005647393,0.000012449916,0.9788994,0.00008970255,0.00004333534,1.1829664e-8,0.018555697,0.000009208737,0.00016268394,0.0014604348,0.00007261678,0.00012972589],"about_ca_topic_score_codex":0.018335631,"about_ca_topic_score_gemma":0.18126576,"teacher_disagreement_score":0.16293013,"about_ca_system_score_codex":0.00007106555,"about_ca_system_score_gemma":0.00026405274,"threshold_uncertainty_score":0.9882014},"labels":[],"label_agreement":null},{"id":"W7161967737","doi":"10.82308/36471","title":"On your left! Why Montreal sees more cycle commuting than Toronto","year":2025,"lang":"en","type":"dissertation","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cycling; Popularity; Grassroots; Government (linguistics); Public policy; Journey to work","score_opus":0.018163074190064087,"score_gpt":0.33269549717038693,"score_spread":0.31453242298032286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7161967737","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4728526,0.00028882662,0.000007584612,0.00021034435,0.0005369234,0.00020478346,0.000019812818,0.0001366527,0.5257425],"genre_scores_gemma":[0.8664578,0.00006435024,0.000034399738,0.00022353577,0.00020035266,0.000009682089,0.0005706116,0.000013409525,0.13242581],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99840254,0.0001020882,0.00029348393,0.00038977142,0.00046782423,0.0003443092],"domain_scores_gemma":[0.99922377,0.00014025548,0.00013358044,0.0002928575,0.000109798464,0.000099734614],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00038406142,0.00022822489,0.00030614546,0.00003941685,0.0007034112,0.00014260736,0.00051339617,0.00035485232,0.0017679249],"category_scores_gemma":[0.00008150012,0.00020441524,0.00018763848,0.000094389696,0.000052208215,0.00027638013,0.000012090935,0.00024471479,0.000012112203],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00072193757,0.0014067004,0.371418,0.0009559109,0.00048645888,0.00004137209,0.3787977,0.000047639955,0.0000883169,0.031484883,0.05173716,0.16281392],"study_design_scores_gemma":[0.00040664116,0.00004822094,0.8334517,0.00045800765,0.00016396075,3.4724376e-8,0.14676683,0.00007199546,0.00034946372,0.0093551325,0.00816911,0.00075891765],"about_ca_topic_score_codex":0.44615242,"about_ca_topic_score_gemma":0.94807297,"teacher_disagreement_score":0.5019206,"about_ca_system_score_codex":0.00021690865,"about_ca_system_score_gemma":0.00025871542,"threshold_uncertainty_score":0.9991446},"labels":[],"label_agreement":null},{"id":"W7161974618","doi":"10.82308/50087","title":"A geographic and statistical analysis of the relationship between neighborhood and regional urban form and household car-dependency in Montreal /","year":2005,"lang":"en","type":"dissertation","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Multinomial logistic regression; Socioeconomic status; Car ownership; Distribution (mathematics); Sample (material); Cluster (spacecraft); Population; Land use; Statistical analysis","score_opus":0.035225753724331677,"score_gpt":0.30331106565111665,"score_spread":0.268085311926785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7161974618","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99347436,0.0007306835,0.000015721043,0.0001317696,0.000022421445,0.00024837555,0.00016048331,0.000013209603,0.0052029756],"genre_scores_gemma":[0.99855995,0.00015826782,0.000045073426,0.00001220312,0.000049753347,0.0000089605155,0.00027495154,0.000007582232,0.00088324456],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986076,0.00010518616,0.0003877908,0.0003394653,0.0003734958,0.00018648656],"domain_scores_gemma":[0.9989191,0.0006157643,0.00017205719,0.00014594883,0.000045668807,0.00010142295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004282826,0.00014820117,0.00037861257,0.00030583778,0.00025159374,0.0000531605,0.00012795934,0.00031083953,0.000037190573],"category_scores_gemma":[0.00011322063,0.000111939335,0.000082742765,0.0007196249,0.0002991452,0.00018281907,0.000012110123,0.00029030273,6.930704e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018119159,0.000023468856,0.98395807,0.00003175656,0.000092554576,5.9804984e-7,0.0046068565,3.345726e-7,2.6929132e-7,0.010214286,0.000015570185,0.0010381328],"study_design_scores_gemma":[0.00021662113,0.000011071463,0.98426294,0.00002674755,0.0008263907,4.5994412e-8,0.002318608,0.000019122226,3.5249187e-7,0.012183463,0.000012295334,0.00012231623],"about_ca_topic_score_codex":0.029403662,"about_ca_topic_score_gemma":0.65561473,"teacher_disagreement_score":0.62621105,"about_ca_system_score_codex":0.000023401217,"about_ca_system_score_gemma":0.00010213603,"threshold_uncertainty_score":0.9770596},"labels":[],"label_agreement":null},{"id":"W7161978714","doi":"10.82308/32031","title":"Evaluating the Dual Impacts of Public Transit: A Comparative Approach to Assess Physical Activity, Health, and Road Safety in Bus Rapid Transit","year":2025,"lang":"en","type":"dissertation","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Bus rapid transit; Public transport; Transit (satellite); Data collection; Service (business); Quality (philosophy); Key (lock)","score_opus":0.24294190089497145,"score_gpt":0.472336891029311,"score_spread":0.22939499013433953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7161978714","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96338755,0.0003053778,0.00036694104,0.0014903577,0.00012381801,0.0017417141,0.000066486595,0.00003371515,0.032484014],"genre_scores_gemma":[0.9987344,0.000049633167,0.00017644327,0.00007554389,0.000077078046,0.00006615065,0.00023154251,0.000009755339,0.00057944044],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99660736,0.0010927487,0.00046873506,0.0005682268,0.0007920933,0.00047082102],"domain_scores_gemma":[0.99871695,0.00037725782,0.00023892,0.00022508026,0.00020689201,0.00023487561],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025463542,0.0002821655,0.0008733747,0.00017450233,0.00048068995,0.0001257523,0.00033652142,0.00020654952,0.00002949306],"category_scores_gemma":[0.000102962586,0.00020793402,0.0001645075,0.0010860004,0.00017161219,0.00038817577,0.000010604153,0.00052721397,5.442065e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014754147,0.0024905596,0.0071602487,0.0014904365,0.00022966943,0.0000011918536,0.7153513,0.00013106871,0.0009708023,0.0064324117,0.000095887546,0.264171],"study_design_scores_gemma":[0.001421354,0.00044016467,0.87553227,0.00034948584,0.0001291329,1.9597488e-7,0.11785867,0.0023384003,0.0006135407,0.0006081485,0.000144203,0.00056445197],"about_ca_topic_score_codex":0.014200929,"about_ca_topic_score_gemma":0.11447433,"teacher_disagreement_score":0.868372,"about_ca_system_score_codex":0.00015275196,"about_ca_system_score_gemma":0.0024008031,"threshold_uncertainty_score":0.9923636},"labels":[],"label_agreement":null},{"id":"W7161980036","doi":"10.82308/13845","title":"Development and transferability of advanced econometric models of bikesharing demand in urban settings","year":2016,"lang":"en","type":"dissertation","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transferability; Econometric model; Metric (unit); Sample (material); Logit; Estimation; Nested logit","score_opus":0.02148676068872959,"score_gpt":0.28406992327604913,"score_spread":0.26258316258731956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7161980036","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96289974,0.0004910045,0.000086465836,0.0000163318,0.00006954202,0.00035370246,0.000014609073,0.000013312088,0.036055308],"genre_scores_gemma":[0.99745864,0.00010548962,0.00095709326,0.0000036212964,0.000011284888,0.000017598375,0.000037248163,0.000008518038,0.0014005356],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985154,0.000035236262,0.00069048913,0.00034650645,0.00021556178,0.00019675794],"domain_scores_gemma":[0.9994102,0.00010736359,0.00019548708,0.00012184801,0.000101633625,0.00006347594],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000831113,0.00014096756,0.00045126336,0.00029712165,0.00007607927,0.000010596339,0.00018794222,0.00019319728,0.00016574613],"category_scores_gemma":[0.000045644014,0.0001187444,0.000062488594,0.0003770656,0.00010041407,0.00035253086,0.0000059265226,0.00009427223,3.2309987e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026148043,0.00029555458,0.79201055,0.0023261665,0.000063869506,9.2892213e-7,0.09643219,0.000020935466,0.0012104339,0.004761506,0.000008783552,0.10260761],"study_design_scores_gemma":[0.0009776714,0.00003228757,0.95405155,0.0006416394,0.00004080227,1.8696255e-8,0.00939246,0.000034619025,0.025972435,0.007898935,0.0004731574,0.00048444996],"about_ca_topic_score_codex":0.0008528717,"about_ca_topic_score_gemma":0.016332973,"teacher_disagreement_score":0.16204098,"about_ca_system_score_codex":0.00007756828,"about_ca_system_score_gemma":0.00030833707,"threshold_uncertainty_score":0.91141826},"labels":[],"label_agreement":null},{"id":"W7161980854","doi":"10.82308/29807","title":"Exploring the association between rail transit investments and utilitarian walking in urban-dwelling Canadians","year":2017,"lang":"en","type":"dissertation","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Rail transportation; Metropolitan area; Rail transit; Light rail transit; Public transport","score_opus":0.07697432575999284,"score_gpt":0.3047871902381563,"score_spread":0.22781286447816346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7161980854","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91149336,0.00027754117,0.0000051398665,0.0005390422,0.00061198155,0.00041819224,0.000020567248,0.000034859397,0.08659932],"genre_scores_gemma":[0.97919065,0.00017647221,0.000017306855,0.000050858656,0.0003494991,0.00004504033,0.00020662561,0.00001786125,0.019945672],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982225,0.00015852436,0.00035568295,0.00037523033,0.0004471872,0.00044088005],"domain_scores_gemma":[0.99912333,0.00021462092,0.00023856126,0.00022091414,0.00006542722,0.00013716822],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015009752,0.00019062868,0.00030914784,0.000118146214,0.0012442726,0.0002878994,0.000408071,0.0002617423,0.000076680364],"category_scores_gemma":[0.00017757827,0.00016412557,0.000081296086,0.00015343874,0.000071023016,0.0007340368,0.0000041509934,0.00043348304,0.0000041482167],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006583111,0.000009310925,0.89455473,0.000042471518,0.00004901569,0.000003324064,0.090438,5.7897284e-7,0.0000022281786,0.0007415219,0.000061522325,0.014090684],"study_design_scores_gemma":[0.00016061006,0.0000044465496,0.97690403,0.00012228267,0.000089415866,6.916616e-9,0.013984431,0.0000040122827,0.00002360202,0.0016608131,0.006847303,0.00019902816],"about_ca_topic_score_codex":0.38429543,"about_ca_topic_score_gemma":0.9097132,"teacher_disagreement_score":0.5254178,"about_ca_system_score_codex":0.00045748695,"about_ca_system_score_gemma":0.00040820288,"threshold_uncertainty_score":0.95700645},"labels":[],"label_agreement":null},{"id":"W7161987404","doi":"10.82308/52909","title":"Neighbourhood walkability and pedometer and accelerometer-assessed walking in Canadian adults","year":2016,"lang":"en","type":"dissertation","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Walkability; Neighbourhood (mathematics); Built environment; Pedometer; Population; Pedestrian; Community design; Urban design","score_opus":0.011257754101421564,"score_gpt":0.29123830746424273,"score_spread":0.2799805533628212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7161987404","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9109501,0.00020577079,6.062211e-7,0.00024081924,0.0002893334,0.0004346869,0.00003540821,0.00003528212,0.08780794],"genre_scores_gemma":[0.9954221,0.00019174934,0.000063864885,0.000043819833,0.0001084775,0.00002898646,0.00008034728,0.000018766566,0.0040418706],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980257,0.00008275614,0.00036567435,0.00064040755,0.00026723335,0.0006182021],"domain_scores_gemma":[0.998972,0.00016513295,0.00011075685,0.00017315468,0.00011453892,0.00046444545],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007260533,0.00024299369,0.00037262644,0.00032796568,0.00033730583,0.00021608375,0.00022984497,0.00043817534,0.0015379348],"category_scores_gemma":[0.00017474382,0.000196673,0.000057760994,0.0002801671,0.00014157071,0.0005478432,0.000011277885,0.00023694123,0.000004907988],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044213946,0.000047276128,0.94991213,0.00014166087,0.00001195782,0.0000062774207,0.00717745,1.3837286e-9,0.00005905921,0.0003406728,0.000021042419,0.042238258],"study_design_scores_gemma":[0.00039355137,0.000026972544,0.99315006,0.00015419968,0.000019936178,9.151668e-8,0.0029619096,0.0000013910385,0.000063650885,0.0022717277,0.0006599975,0.00029651434],"about_ca_topic_score_codex":0.8735177,"about_ca_topic_score_gemma":0.9967136,"teacher_disagreement_score":0.12319588,"about_ca_system_score_codex":0.00022089393,"about_ca_system_score_gemma":0.0006294414,"threshold_uncertainty_score":0.9993748},"labels":[],"label_agreement":null},{"id":"W7161996932","doi":"10.82308/29714","title":"Healthy aging in the neighborhood: Examining the relationship between the micro-scale built environment and walking in older adults","year":2021,"lang":"en","type":"dissertation","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Built environment; Reliability (semiconductor); Field (mathematics); Population; Level design; Healthy aging; Audit","score_opus":0.03809206144977468,"score_gpt":0.31565085256372344,"score_spread":0.27755879111394877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7161996932","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98677564,0.0021888851,0.000013905864,0.0030714143,0.00012538287,0.0006970493,0.0000044843514,0.000012953474,0.0071102614],"genre_scores_gemma":[0.9979779,0.0001714584,0.000037714126,0.00029827622,0.00018981665,0.000066181114,0.00016504085,0.000012785852,0.0010808113],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99773806,0.0006781436,0.00044419162,0.0003990364,0.00041364066,0.00032692676],"domain_scores_gemma":[0.99760205,0.0018641836,0.00017392675,0.0003057849,0.000015395926,0.00003864805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024370207,0.00017099855,0.00020927009,0.0000622763,0.00082890317,0.0001771825,0.00046767472,0.00020131077,0.00012885164],"category_scores_gemma":[0.00010671097,0.000093597075,0.00005266352,0.00037629323,0.00013798354,0.00016339688,0.000022797589,0.0007584313,0.0000025232343],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000062980657,0.000021769078,0.8702842,0.00003463069,0.0000034418454,0.0000016209758,0.12476349,8.2524076e-7,0.0000016660281,0.0001599778,0.0000147871615,0.0047073252],"study_design_scores_gemma":[0.0001743249,0.000005719831,0.85685754,0.00017979747,0.000020437396,7.3121e-8,0.14191532,0.0000031071995,0.000006681858,0.00055911904,0.00017217774,0.00010569635],"about_ca_topic_score_codex":0.011372162,"about_ca_topic_score_gemma":0.15014406,"teacher_disagreement_score":0.13877189,"about_ca_system_score_codex":0.000103280625,"about_ca_system_score_gemma":0.00013657752,"threshold_uncertainty_score":0.9952112},"labels":[],"label_agreement":null},{"id":"W7162001017","doi":"10.82308/43638","title":"The Effects of Weather on the Current and Future Ridership of Urban Cycling in North America Cities Considering a Changing Climate","year":2023,"lang":"en","type":"dissertation","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"West germany; Urban environment; Context (archaeology)","score_opus":0.020128315812749202,"score_gpt":0.29276385710575836,"score_spread":0.27263554129300915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7162001017","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99281573,0.002317981,6.1208493e-7,0.00019541555,0.0007236006,0.00041086978,0.0000069229486,0.000027200134,0.00350164],"genre_scores_gemma":[0.99593693,0.003299041,0.0000029799726,0.000013517778,0.000175546,0.000033323977,0.00002175704,0.000013540333,0.00050339237],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99885255,0.00012325062,0.00028004855,0.00017969846,0.0002688397,0.0002955892],"domain_scores_gemma":[0.99839133,0.0011578231,0.00024414615,0.00013757272,0.000043811808,0.00002531625],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000555604,0.00013337807,0.0002472145,0.000102751495,0.000375289,0.000039805323,0.0001769772,0.00006562944,0.000014374029],"category_scores_gemma":[0.00013834292,0.00007668941,0.0000830744,0.0004178572,0.00021410716,0.000051151692,0.000013354395,0.00025312972,8.287394e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000120819655,0.00006114809,0.54599243,0.002298025,0.000074191405,0.000003245127,0.3722092,0.000003794638,0.000046550074,0.006015553,0.000116660936,0.0730584],"study_design_scores_gemma":[0.0002550846,0.0000683551,0.6341741,0.0014722053,0.00009089866,1.4765326e-8,0.35948277,0.000025657928,0.00066938484,0.001271335,0.0021782115,0.00031197086],"about_ca_topic_score_codex":0.0009165119,"about_ca_topic_score_gemma":0.057274543,"teacher_disagreement_score":0.08818171,"about_ca_system_score_codex":0.00002001628,"about_ca_system_score_gemma":0.000067937406,"threshold_uncertainty_score":0.95992774},"labels":[],"label_agreement":null},{"id":"W7162004841","doi":"10.82308/43852","title":"Making space: lessons from Canadian COVID-19 street reallocations","year":2022,"lang":"en","type":"dissertation","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Public transport; Corporate governance; Preparedness; Equity (law); Placemaking; Traffic congestion; Destinations; Closing (real estate)","score_opus":0.07475056742641126,"score_gpt":0.413442649266391,"score_spread":0.3386920818399798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7162004841","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16062604,0.0005113723,0.000060029393,0.015391751,0.0019721664,0.0007196525,0.0016573437,0.0002849923,0.81877667],"genre_scores_gemma":[0.92379344,0.00006124335,0.00014866245,0.0008018757,0.00023711697,0.00007320771,0.009903725,0.000022273523,0.06495844],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99822974,0.00013720065,0.000254406,0.0004874236,0.000489212,0.0004020375],"domain_scores_gemma":[0.9987469,0.00013906726,0.0001490712,0.00032989023,0.000078580946,0.00055654824],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003820337,0.0001738129,0.00021576791,0.0002022202,0.0022186395,0.00014426697,0.0005956417,0.00027741323,0.039113633],"category_scores_gemma":[0.0002317679,0.00019639831,0.000117063835,0.0004839144,0.00008254165,0.00015740916,0.000009330617,0.0003744724,0.000028074155],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003997487,0.0001414603,0.5959655,0.000118131386,0.00017009831,0.00008932687,0.11160435,0.000058033256,0.000010119509,0.19790396,0.088585325,0.0053137285],"study_design_scores_gemma":[0.0001197612,0.000006396065,0.2041069,0.000022563381,0.00010690991,1.9006425e-8,0.121657155,0.00000601669,0.0000041216967,0.008500859,0.6650494,0.00041993137],"about_ca_topic_score_codex":0.9907885,"about_ca_topic_score_gemma":0.9999044,"teacher_disagreement_score":0.7631674,"about_ca_system_score_codex":0.0012073993,"about_ca_system_score_gemma":0.010018436,"threshold_uncertainty_score":0.99908036},"labels":[],"label_agreement":null},{"id":"W7162017388","doi":"10.82308/14997","title":"Modifiable Areal Unit Problem and Modifiable Temporal Unit Problem effects on accessibility to supermarkets in Montreal, Canada","year":2023,"lang":"en","type":"dissertation","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unit (ring theory); Granularity; Zoning; Temporal database; Temporal resolution; Process (computing); Mode (computer interface); Measure (data warehouse)","score_opus":0.02255984485339037,"score_gpt":0.2979682186917621,"score_spread":0.27540837383837175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7162017388","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8654663,0.00007433869,0.0000019838935,0.0003022231,0.00044855944,0.0029649576,0.00011737547,0.00019331469,0.13043097],"genre_scores_gemma":[0.9144065,0.0000431677,0.00011879941,0.000120600824,0.00012666822,0.00047356568,0.0013666747,0.000066440414,0.083277635],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9950931,0.000415711,0.0008633913,0.0013606662,0.0011350865,0.0011320617],"domain_scores_gemma":[0.9978364,0.00048845884,0.00022419893,0.00055799924,0.00028038397,0.00061252236],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001488647,0.00062321604,0.0008803408,0.00036920747,0.0006682557,0.00033592666,0.0007834302,0.0005801677,0.0002870145],"category_scores_gemma":[0.00016505181,0.0005778207,0.00009662098,0.0016211281,0.00009686582,0.00055469706,0.000056455418,0.0007003755,0.000021178077],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007533361,0.00040842488,0.9663203,0.0025378822,0.00008395332,0.00014291813,0.009125521,0.0006564428,0.00005965997,0.00049471355,0.011301499,0.008115372],"study_design_scores_gemma":[0.001043857,0.00014532666,0.97902024,0.0009247764,0.00007607055,1.331777e-7,0.0069220318,0.00035249093,0.00034232184,0.007454054,0.0025868055,0.0011318848],"about_ca_topic_score_codex":0.9942002,"about_ca_topic_score_gemma":0.9993685,"teacher_disagreement_score":0.048940174,"about_ca_system_score_codex":0.00053602684,"about_ca_system_score_gemma":0.0031652022,"threshold_uncertainty_score":0.99966735},"labels":[],"label_agreement":null},{"id":"W7162028025","doi":"10.82308/10237","title":"Association between accessibility to key activities through multi-modal public transit network in the Montréal Metropolitan Region and subjective well-being","year":2022,"lang":"en","type":"dissertation","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Public transport; Metropolitan area; Context (archaeology); Metric (unit); Transit (satellite); Key (lock); Data collection; Association (psychology)","score_opus":0.028319717013519274,"score_gpt":0.32039622014966535,"score_spread":0.2920765031361461,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7162028025","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9447998,0.00042444497,0.00034281777,0.002044791,0.0004782414,0.0013274536,0.000024761683,0.000105317995,0.05045242],"genre_scores_gemma":[0.9935016,0.0001323181,0.00016706306,0.00022092917,0.0005184551,0.00018173829,0.00039951573,0.000029368382,0.004848984],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.995442,0.0013112895,0.0005940356,0.0008145414,0.0010697999,0.000768383],"domain_scores_gemma":[0.9981913,0.00084892754,0.00037979038,0.00032455285,0.00013360997,0.00012182276],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0028022202,0.00035114106,0.0006021863,0.00015551655,0.0016188013,0.00047352532,0.00067682884,0.00046816468,0.00024925816],"category_scores_gemma":[0.00025858276,0.00029555502,0.00020514092,0.0012971378,0.00010666159,0.0013332628,0.000033519016,0.00090636645,0.0000022100442],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008513574,0.00010757509,0.87764776,0.00003758642,0.00009761543,0.000004276842,0.11758655,0.000004346177,0.000001691468,0.0028387127,0.0003185056,0.0012702221],"study_design_scores_gemma":[0.00028953506,0.000042460695,0.8126539,0.000023926663,0.00012883972,5.4311823e-8,0.17754166,0.00000772139,0.000016366814,0.0065164706,0.0024592048,0.000319836],"about_ca_topic_score_codex":0.14474593,"about_ca_topic_score_gemma":0.6754651,"teacher_disagreement_score":0.53071916,"about_ca_system_score_codex":0.001980724,"about_ca_system_score_gemma":0.00034283486,"threshold_uncertainty_score":0.99994963},"labels":[],"label_agreement":null},{"id":"W7162034674","doi":"10.82308/50706","title":"Analyzing the effect of micro-scale walkability on walking behavior","year":2023,"lang":"en","type":"dissertation","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Validation test; Locale (computer software); Statistical analysis","score_opus":0.014474960156861276,"score_gpt":0.33372308953063723,"score_spread":0.31924812937377595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7162034674","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9761401,0.00008445871,0.0000014493968,0.000052414696,0.0008297642,0.0007012186,0.000014342925,0.00011166566,0.02206462],"genre_scores_gemma":[0.98417485,0.00001822765,0.0000126031,0.0000051065163,0.00013725323,0.00006990948,0.00018238301,0.00002020434,0.015379463],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99826264,0.00030002207,0.0003761492,0.00037814377,0.00041180573,0.0002712484],"domain_scores_gemma":[0.99867314,0.0006151712,0.00021031404,0.00036277523,0.00008375409,0.000054854685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018519465,0.00018987284,0.00036797312,0.00007940875,0.00047368254,0.000056782017,0.0004882972,0.00026795318,0.0004988072],"category_scores_gemma":[0.00015000998,0.000118325945,0.00033563384,0.0004805231,0.00016861442,0.00007994372,0.000010087322,0.0003269638,0.0000323029],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000942014,0.00005630083,0.96252745,0.00019673667,0.000029183197,0.0000019927604,0.007851516,5.7530013e-7,0.0011187589,0.000042384552,0.00018845864,0.027892435],"study_design_scores_gemma":[0.0001160995,0.00007505024,0.97682405,0.00009909407,0.00023750523,9.4092245e-9,0.0034382902,8.311599e-7,0.018718489,0.00013710318,0.00018855804,0.00016491103],"about_ca_topic_score_codex":0.009884911,"about_ca_topic_score_gemma":0.06781917,"teacher_disagreement_score":0.05793426,"about_ca_system_score_codex":0.00008051079,"about_ca_system_score_gemma":0.00009713671,"threshold_uncertainty_score":0.99670833},"labels":[],"label_agreement":null},{"id":"W7162036374","doi":"10.82308/52009","title":"An ethnographic evaluation of a community-based participatory research project understanding community mobilization &amp; participation in school active transportation initiatives in the Kanien’kehá:ka community of Kahnawake, Qc","year":2015,"lang":"en","type":"dissertation","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Participatory action research; Timeline; Community-based participatory research; General partnership; Community organization; Citizen journalism; Action plan; Participatory evaluation; Promotion (chess); Data collection","score_opus":0.6763041096859658,"score_gpt":0.5672779040755362,"score_spread":0.10902620561042953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7162036374","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99090075,0.000074564145,0.00012197425,0.000043776912,0.000081498016,0.0031598818,0.00011707119,0.000042622018,0.005457839],"genre_scores_gemma":[0.9914779,0.000028590186,0.000050570463,0.000027351698,0.0000164528,0.00070749037,0.0076554962,0.000027798133,0.000008346984],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9179171,0.077381715,0.0013580308,0.00023763983,0.0026111053,0.0004944329],"domain_scores_gemma":[0.9920424,0.0033506374,0.00085328,0.0010649243,0.002573101,0.00011562923],"candidate_categories":["metaresearch","metaepi_narrow","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.07385516,0.0003017202,0.0006032943,0.0013285477,0.0019082631,0.00008296334,0.0011258287,0.0005901226,0.00007681344],"category_scores_gemma":[0.002738493,0.00027540835,0.0001332709,0.0040625874,0.0011203574,0.0013722028,0.000011725259,0.004382531,8.595498e-7],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006501055,0.0039729946,0.24646378,0.0005976642,0.000034731383,2.2211928e-7,0.74546057,0.0010948774,0.0003792079,0.00083461637,0.000021323145,0.00048992696],"study_design_scores_gemma":[0.000793338,0.00021516813,0.5087756,0.00029323215,0.000105155734,5.754994e-9,0.47903568,0.000284922,0.00036894277,0.009972543,0.000006040779,0.00014940453],"about_ca_topic_score_codex":0.22171266,"about_ca_topic_score_gemma":0.94149476,"teacher_disagreement_score":0.7197821,"about_ca_system_score_codex":0.0010236339,"about_ca_system_score_gemma":0.0034991968,"threshold_uncertainty_score":0.9999698},"labels":[],"label_agreement":null},{"id":"W7162038768","doi":"10.82308/43396","title":"Station and city level modelling of bike-sharing system for Montreal","year":2021,"lang":"en","type":"dissertation","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cycling; TRIPS architecture; Regression analysis; Mode (computer interface); Affect (linguistics); Plan (archaeology); Climate change; Driving factors","score_opus":0.1155397719535563,"score_gpt":0.33425601326305815,"score_spread":0.21871624130950185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7162038768","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94878465,0.00034021397,0.02917976,0.000009967329,0.00028534108,0.00038529688,0.00011714979,0.000039585542,0.020858038],"genre_scores_gemma":[0.9863693,0.000044064152,0.0014823894,0.0000018575555,0.00007912211,0.000021448941,0.00080328307,0.000009203918,0.011189339],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99906576,0.000018518356,0.0002903202,0.00027686136,0.0002122671,0.00013627457],"domain_scores_gemma":[0.99934137,0.00006443149,0.00017752977,0.00009153379,0.00027786105,0.0000472799],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035590676,0.00009566402,0.00023939802,0.0000485959,0.00021279337,0.00005725426,0.00010164316,0.00017530064,0.000029620443],"category_scores_gemma":[0.000019957322,0.00009408375,0.00007556854,0.00010214435,0.000026550919,0.00016558594,0.000004041193,0.000064808446,1.4502997e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011947404,0.00063233136,0.46773252,0.032407813,0.0007336239,0.000014180708,0.30425373,0.0035643924,0.0015547981,0.107859716,0.0004141347,0.07963802],"study_design_scores_gemma":[0.0028677168,0.00012453769,0.3700098,0.0035816594,0.0012167955,2.4491865e-7,0.48066798,0.09761479,0.016739288,0.024530394,0.0005697751,0.002077005],"about_ca_topic_score_codex":0.04625521,"about_ca_topic_score_gemma":0.16050948,"teacher_disagreement_score":0.17641425,"about_ca_system_score_codex":0.000048745907,"about_ca_system_score_gemma":0.00016799338,"threshold_uncertainty_score":0.9600959},"labels":[],"label_agreement":null},{"id":"W7162038898","doi":"10.82308/14295","title":"The influence of the urban built environment on utilitarian walking and body mass index: Trip diary and longitudinal studies of Canadians","year":2016,"lang":"en","type":"dissertation","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Built environment; Neighbourhood (mathematics); Urban design; Geocoding; Walkability; Level design; Public transport; Work (physics); Population; Human factors and ergonomics","score_opus":0.01738511628973817,"score_gpt":0.28736990713403066,"score_spread":0.2699847908442925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7162038898","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9916549,0.0035651345,0.0000012870553,0.0003662834,0.00015167147,0.000344534,0.000032347703,0.0000053303547,0.003878539],"genre_scores_gemma":[0.9946434,0.001707056,0.000003611885,0.000016299524,0.000040834955,0.000014507504,0.0000036853694,0.000006713132,0.003563884],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998687,0.00013541135,0.00032122823,0.00026459462,0.00038170343,0.00021006173],"domain_scores_gemma":[0.99896723,0.00042397514,0.00024090982,0.0002448105,0.000056604273,0.00006645352],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007370758,0.0001520545,0.00025444635,0.000038516722,0.00064328045,0.000021367132,0.00029021798,0.00013213429,0.000022199163],"category_scores_gemma":[0.00016667115,0.000076738426,0.00006062282,0.000080922175,0.0009068543,0.00011891106,0.000018656508,0.00014514186,2.7609994e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046253343,0.0000151452905,0.98690355,0.000080837606,0.000068152985,8.0053667e-7,0.0080142245,7.463497e-7,0.00009838975,0.0011746173,0.000037779904,0.0035594807],"study_design_scores_gemma":[0.000110777844,0.000026174637,0.9871698,0.00015158355,0.00005658833,2.6508786e-8,0.008991811,6.55014e-7,0.00013967222,0.0025124492,0.00074507156,0.00009536607],"about_ca_topic_score_codex":0.04141751,"about_ca_topic_score_gemma":0.31237197,"teacher_disagreement_score":0.27095446,"about_ca_system_score_codex":0.000075087286,"about_ca_system_score_gemma":0.00017937813,"threshold_uncertainty_score":0.96496576},"labels":[],"label_agreement":null},{"id":"W7162082062","doi":"10.82308/27501","title":"Development and transferability of advanced econometric models of bikesharing demand in urban settings","year":2015,"lang":"en","type":"dissertation","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transferability; Metric (unit); Econometric model; Sample (material); Logit; Estimation; Nested logit; Regression analysis","score_opus":0.03276029392127687,"score_gpt":0.3053723290752826,"score_spread":0.2726120351540057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7162082062","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9644014,0.0007817026,0.00002835844,0.000009549439,0.000070789036,0.00037005174,0.000011540386,0.000013570668,0.03431302],"genre_scores_gemma":[0.9976138,0.00005457929,0.0014186852,0.0000034055606,0.000009867959,0.000015537686,0.00008613683,0.000008411189,0.0007895764],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998476,0.000038901966,0.00069279503,0.0003315922,0.00027519843,0.00018549636],"domain_scores_gemma":[0.9993685,0.000065861954,0.00019109352,0.00011982514,0.00016936589,0.000085363885],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012263902,0.00014140418,0.00048329664,0.00029942943,0.000057129517,0.0000129865375,0.00018959993,0.00020020656,0.00007751828],"category_scores_gemma":[0.000060867453,0.00013807447,0.000052783635,0.000519654,0.00008937277,0.0003438028,0.0000064261317,0.00012611692,2.3425436e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033567767,0.000462071,0.68598574,0.0028459777,0.00007178508,0.0000013505463,0.23568794,0.00021487154,0.00034012497,0.003166138,0.000035587964,0.07085276],"study_design_scores_gemma":[0.0014887585,0.00006265806,0.9255333,0.0005218984,0.00007680122,3.5151814e-8,0.042691644,0.0002568173,0.009873478,0.017800443,0.00095639774,0.00073775393],"about_ca_topic_score_codex":0.0016584662,"about_ca_topic_score_gemma":0.03351154,"teacher_disagreement_score":0.2395476,"about_ca_system_score_codex":0.00010005679,"about_ca_system_score_gemma":0.00051134353,"threshold_uncertainty_score":0.98412436},"labels":[],"label_agreement":null},{"id":"W7162122906","doi":"10.82308/11804","title":"Active living environments, physical activity, and population health","year":2021,"lang":"en","type":"dissertation","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Neighbourhood (mathematics); Active living; Chronic disease; Disease; Population; Public health; Physical activity; Obesity","score_opus":0.019311154669609663,"score_gpt":0.34363383293846733,"score_spread":0.3243226782688577,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7162122906","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9866015,0.00012419678,0.00001663306,0.00018754441,0.00016876425,0.00021466208,0.000006512695,0.000029161361,0.012651063],"genre_scores_gemma":[0.97809595,0.00015802028,0.000029272956,0.00003488918,0.00020454741,0.0000092898135,0.0003303884,0.000010763196,0.021126892],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99893224,0.0001322127,0.00009616099,0.0003331995,0.00031664196,0.00018953363],"domain_scores_gemma":[0.9995737,0.00007870467,0.00014137282,0.00009740005,0.000011344372,0.0000974437],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015683501,0.000121094854,0.00023462417,0.00003098326,0.00041770234,0.00006868751,0.00007122515,0.00013060005,0.00025418418],"category_scores_gemma":[0.000028843428,0.000121942816,0.000063321255,0.00009086575,0.00004035736,0.0003036472,0.000009060148,0.00018738663,0.0000034340198],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006468266,0.001182685,0.3547329,0.00035569607,0.00011253853,0.0000040396308,0.11528058,0.0000012319452,0.0006163062,0.003704068,0.0002505351,0.52369475],"study_design_scores_gemma":[0.000033256085,0.000010525534,0.9918892,0.00006230577,0.000016961432,1.3479136e-8,0.006868088,0.0000067921765,0.00012705171,0.00035376134,0.00050802523,0.00012406123],"about_ca_topic_score_codex":0.026559642,"about_ca_topic_score_gemma":0.08149506,"teacher_disagreement_score":0.63715625,"about_ca_system_score_codex":0.00014605334,"about_ca_system_score_gemma":0.00017217685,"threshold_uncertainty_score":0.9799226},"labels":[],"label_agreement":null},{"id":"W7165672342","doi":"10.1515/9780776641874-017","title":"Chapter 12 A Brief History of Montreal Bike Paths","year":2025,"lang":"","type":"book-chapter","venue":"University of Ottawa Press eBooks","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"","score_opus":0.025254601215937277,"score_gpt":0.20989603028362214,"score_spread":0.18464142906768485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7165672342","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019293154,0.0015114675,0.00017377092,0.000038861137,0.0008341063,0.00074650766,0.00047316443,0.00006593934,0.9942269],"genre_scores_gemma":[0.33782917,0.00035616092,0.00012579591,0.000029828816,0.00007400582,2.7561185e-7,0.000017375305,0.000020914222,0.66154647],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9967447,0.00010677966,0.00078420615,0.0009754306,0.00088615343,0.00050275837],"domain_scores_gemma":[0.9968383,0.00016526855,0.0012995385,0.0008937512,0.0005062161,0.00029695773],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00045853632,0.00057899137,0.0012570488,0.00034230822,0.0003331796,0.000014636185,0.0015350921,0.00088118814,0.0022047388],"category_scores_gemma":[0.000018259227,0.0007368539,0.00095216994,0.000018744155,0.0039934954,0.00025647023,0.00030550704,0.00058508525,0.0000053523227],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00067938527,0.00032809595,0.005554818,0.0012791926,0.0009867151,0.00022705845,0.042204417,0.000005060641,0.00011986719,0.8887355,0.00554779,0.054332126],"study_design_scores_gemma":[0.0011901164,0.00014631786,0.003586137,0.00064036006,0.00090145547,2.9569262e-7,0.0005021584,0.000029298384,0.000094091265,0.0016400932,0.99061984,0.0006498103],"about_ca_topic_score_codex":0.115453765,"about_ca_topic_score_gemma":0.04759633,"teacher_disagreement_score":0.9850721,"about_ca_system_score_codex":0.00048239564,"about_ca_system_score_gemma":0.00092062127,"threshold_uncertainty_score":0.99950826},"labels":[],"label_agreement":null},{"id":"W72551645","doi":"10.1093/forestscience/57.4.281","title":"The Effects of Road Quality and Other Factors on Water-Based Recreation Demand in Northern Ontario, Canada","year":2011,"lang":"en","type":"article","venue":"Forest Science","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ministry of Natural Resources and Forestry","funders":"Ministry of Natural Resources","keywords":"Recreation; Water quality; Quality (philosophy); Geography; Environmental science; Agricultural economics; Environmental protection; Economics; Ecology","score_opus":0.03247721747573818,"score_gpt":0.27855192871596374,"score_spread":0.24607471124022556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W72551645","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99778926,0.000011250463,0.000018230698,0.000041330502,0.00013554051,0.00017453647,0.0000012161821,0.0000054192988,0.0018232198],"genre_scores_gemma":[0.999866,5.428902e-7,0.0000092934515,0.00002794023,0.000005805728,0.000004266019,5.47685e-7,0.0000017581783,0.00008381845],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99906224,0.000067866735,0.00014093293,0.000166035,0.00035124304,0.0002116703],"domain_scores_gemma":[0.9995758,0.00012634076,0.00005548439,0.0001356404,0.00004109542,0.00006563617],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010319575,0.00005467227,0.00007740928,0.000026687563,0.00040098638,0.000024490515,0.00024904657,0.000024091065,0.000016943124],"category_scores_gemma":[0.00015110159,0.000030093843,0.00001391482,0.00016433795,0.00072712864,0.00012929399,0.000009141954,0.000054031127,3.821122e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015288517,0.000021406404,0.9909172,0.0000054916345,6.9798386e-7,4.7486324e-7,0.007949873,0.0000096104495,0.00010481114,0.000792902,0.00000132769,0.00018091098],"study_design_scores_gemma":[0.00009185327,0.000031692703,0.9942586,0.000016674378,0.0000018543292,4.6241837e-9,0.00026011033,0.000008493877,0.0037805752,0.0013907448,0.00011165737,0.000047738442],"about_ca_topic_score_codex":0.99444604,"about_ca_topic_score_gemma":0.99994737,"teacher_disagreement_score":0.007689762,"about_ca_system_score_codex":0.00018171045,"about_ca_system_score_gemma":0.0007487841,"threshold_uncertainty_score":0.30841035},"labels":[],"label_agreement":null},{"id":"W744576265","doi":"","title":"A Longitudinal Assessment of the Relationship Between Land Use, Land Values, and Bus Facilities","year":2007,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Census; Transit (satellite); Transport engineering; Quarter (Canadian coin); Mile; Geography; Land use; Business; Land Values; Socioeconomic status; Public transport; Agricultural economics; Engineering; Population; Civil engineering; Environmental health; Economics","score_opus":0.10910453938526977,"score_gpt":0.3644780325013504,"score_spread":0.25537349311608065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W744576265","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9810405,0.0000453343,0.0006921061,0.00024066636,0.00005290913,0.00012876315,0.000022148235,0.000020015437,0.017757574],"genre_scores_gemma":[0.9924149,0.0000030105223,0.00027788331,0.000009389396,0.000061715364,9.776614e-7,0.000003303345,0.0000019637866,0.007226885],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992544,0.000060697832,0.0001723669,0.00011583073,0.000254425,0.00014226421],"domain_scores_gemma":[0.99905515,0.00068469386,0.000052140513,0.00011196725,0.000045739,0.000050297815],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009862898,0.000051490413,0.00009727503,0.000023422992,0.00030780444,0.00004352663,0.00010418578,0.000056940957,0.00009426719],"category_scores_gemma":[0.00012992798,0.0000328465,0.000034846893,0.00014928803,0.00031863386,0.00021188062,0.000017836326,0.000091843925,5.978134e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000024067622,0.000010542034,0.9956966,0.000011153441,0.0000059014274,2.7844578e-7,0.001020526,4.83136e-7,8.0546704e-7,0.0031028911,0.000042602067,0.00010583327],"study_design_scores_gemma":[0.00010874129,0.000007933996,0.994554,0.000008815688,0.000015373453,4.751373e-8,0.0005256243,0.000001191019,0.000010183043,0.004064875,0.0006572196,0.00004599973],"about_ca_topic_score_codex":0.011881371,"about_ca_topic_score_gemma":0.030312045,"teacher_disagreement_score":0.018430674,"about_ca_system_score_codex":0.000025294587,"about_ca_system_score_gemma":0.00007628628,"threshold_uncertainty_score":0.9946986},"labels":[],"label_agreement":null},{"id":"W75792933","doi":"","title":"Spatial Analysis of Demand for Hybrid Electric Vehicles and Its Potential Impact on Greenhouse Gases in Montreal and Quebec City, Canada","year":2013,"lang":"en","type":"article","venue":"Transportation Research Board 92nd Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Market penetration; Incentive; Population; Business; Agricultural economics; Transport engineering; Economics; Engineering; Marketing","score_opus":0.031538669965522695,"score_gpt":0.35647520595857257,"score_spread":0.3249365359930499,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W75792933","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946989,0.00033622558,0.00013515509,0.0012872835,0.000038869945,0.0022763673,0.001051195,0.000042476364,0.00013352708],"genre_scores_gemma":[0.99834734,0.0003850037,0.00007759409,0.000029194338,0.00009315963,0.0003166003,0.00035763383,0.000035360485,0.00035811798],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.992901,0.0008782257,0.0010480424,0.00094062416,0.0028518862,0.0013802061],"domain_scores_gemma":[0.9945841,0.0017573291,0.00021438593,0.00026496794,0.002530519,0.0006487414],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003944426,0.00032849022,0.0007400575,0.001806689,0.00084697414,0.00019699821,0.00041924152,0.00020190734,0.00028686706],"category_scores_gemma":[0.0003970124,0.0003081026,0.00022275346,0.0026727254,0.0006665252,0.00083160994,0.000008672011,0.0007419273,0.000001981026],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013749531,0.0003404549,0.9810856,0.00026859256,0.00034004144,0.000066918525,0.006094953,0.0013865833,0.0017632196,0.00040156266,0.0008209092,0.006056217],"study_design_scores_gemma":[0.0011884586,0.00037886918,0.9897516,0.0000798922,0.00015292999,4.2825675e-8,0.003453008,0.0025970205,0.0013704299,0.00063216663,0.00011069037,0.00028492004],"about_ca_topic_score_codex":0.9902319,"about_ca_topic_score_gemma":0.9977062,"teacher_disagreement_score":0.008665977,"about_ca_system_score_codex":0.00031685084,"about_ca_system_score_gemma":0.0015037147,"threshold_uncertainty_score":0.9999371},"labels":[],"label_agreement":null},{"id":"W759282180","doi":"10.1016/j.jth.2016.05.016","title":"University Students' Perceptions of the Relationship Between Bus Pass Ownership and Physical Activity Levels","year":2016,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Perception; Physical activity; Psychology; Business; Mathematics education; Physical therapy; Medicine","score_opus":0.0884271240168585,"score_gpt":0.37003195326523464,"score_spread":0.28160482924837615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W759282180","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9892316,0.00001834772,0.00093813625,0.009413898,0.0000893921,0.00013387643,0.000063171734,0.000007399706,0.00010421934],"genre_scores_gemma":[0.9993786,0.000035028545,0.000051578947,0.000020377474,0.00017461421,1.2976669e-7,3.6260406e-7,0.0000041597104,0.0003351436],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986201,0.00028610256,0.00025209997,0.00011202449,0.00054059643,0.00018911136],"domain_scores_gemma":[0.99879813,0.00036204178,0.0004096526,0.0001237765,0.000107754335,0.00019863847],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012283734,0.00007402741,0.00026789703,0.000054983113,0.00044746217,0.000007185482,0.00033554883,0.00006384839,0.000027387832],"category_scores_gemma":[0.00004614236,0.000042816773,0.00016971433,0.00023863862,0.00040214375,0.0004117891,0.0000072781863,0.00024461682,6.236358e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003267799,0.00013090057,0.9908593,0.000024285848,0.000016436716,0.000001357367,0.0059672114,3.7002454e-7,0.00004681825,0.00042542076,0.000018451086,0.0024767553],"study_design_scores_gemma":[0.00043661642,0.000058014877,0.9968078,0.000094967254,0.000054542797,3.18589e-7,0.0012625164,7.1396926e-8,0.000013459093,0.00082601677,0.00039468284,0.00005095475],"about_ca_topic_score_codex":0.0007053325,"about_ca_topic_score_gemma":0.0020232487,"teacher_disagreement_score":0.010147046,"about_ca_system_score_codex":0.0001693406,"about_ca_system_score_gemma":0.0005996885,"threshold_uncertainty_score":0.34415627},"labels":[],"label_agreement":null},{"id":"W770505135","doi":"","title":"Mobility in Aging: Travel Behavior and Implications for Physical Activity","year":2014,"lang":"en","type":"dissertation","venue":"MacSphere (McMaster University)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"McMaster University","keywords":"Physical activity; Psychology; Travel behavior; Gerontology; Transport engineering; Engineering; Medicine; Physical medicine and rehabilitation","score_opus":0.025163010038584073,"score_gpt":0.29200657576655437,"score_spread":0.2668435657279703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W770505135","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8552108,0.000018237777,0.00020572406,0.0001420249,0.00010897407,0.00080538465,0.00007306387,0.000039596544,0.14339623],"genre_scores_gemma":[0.8563335,0.000009453287,0.000060910297,0.000007882269,0.00008574337,0.0000152130815,0.00009172158,0.000013641349,0.14338195],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9988661,0.00009633847,0.00011031732,0.00051751296,0.00012465662,0.0002850955],"domain_scores_gemma":[0.9993607,0.00011575102,0.00012489567,0.00019289568,0.00008535121,0.00012039692],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00016746402,0.00018787036,0.00031233247,0.00009191939,0.0003297304,0.000055424956,0.00029606716,0.00024638601,0.0013586716],"category_scores_gemma":[0.000018154924,0.00022077275,0.00013415441,0.00031268538,0.00016202971,0.00028900773,0.00001714885,0.00023214075,0.0000021245507],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000265307,0.00093611964,0.3358258,0.00028377865,0.000027835098,0.000003656891,0.0084142545,0.0000012322358,0.00043068948,0.0066497643,0.000061584506,0.6471],"study_design_scores_gemma":[0.0005105782,0.00003409039,0.9694056,0.000034055138,0.00013884022,3.5528238e-8,0.0040740515,0.000014432213,0.00012749742,0.0007552624,0.024639694,0.00026590182],"about_ca_topic_score_codex":0.0023953838,"about_ca_topic_score_gemma":0.07256227,"teacher_disagreement_score":0.6468341,"about_ca_system_score_codex":0.00016755497,"about_ca_system_score_gemma":0.00017156897,"threshold_uncertainty_score":0.9995542},"labels":[],"label_agreement":null},{"id":"W778280722","doi":"","title":"Mobility of Canadian Elderly: Multilevel Analysis of Distance Traveled in the Hamilton Census Metropolitan Area, Ontario, Canada","year":2007,"lang":"en","type":"article","venue":"Transportation Research Board 86th Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Census; Land use; Geography; Affect (linguistics); Multilevel model; Journey to work; Demographic economics; Transport engineering; Public economics; Regional science; Public transport; Economics; Demography; Psychology; Sociology; Engineering; Computer science; Population","score_opus":0.07373734588011384,"score_gpt":0.3824752904735642,"score_spread":0.3087379445934504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W778280722","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98735297,0.00012875164,0.00033924368,0.0007950942,0.000115541574,0.0018791182,0.0021932896,0.000027910595,0.0071680704],"genre_scores_gemma":[0.99786764,0.00009669809,0.00044251874,0.000044447894,0.000049269005,0.00011155151,0.0008130027,0.000029895671,0.0005449944],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98654497,0.0015849519,0.0021716265,0.0009864348,0.0063996804,0.0023123445],"domain_scores_gemma":[0.990456,0.0029105237,0.000378631,0.00082589756,0.004511378,0.00091760705],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.021423172,0.000352582,0.00090724573,0.0043215547,0.001047336,0.000072462724,0.0014712958,0.00036588096,0.00063680747],"category_scores_gemma":[0.00065493427,0.00032040323,0.00038435435,0.013973324,0.0021055928,0.0005005657,0.0000045711467,0.0017760555,0.0000013266244],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007182778,0.00039912033,0.9184211,0.00017361993,0.00023134913,0.00013438698,0.07049879,0.00032701477,0.00015547806,0.007529352,0.00054016,0.0008713781],"study_design_scores_gemma":[0.0006478827,0.000156849,0.8992084,0.00007846293,0.00013768804,1.7064231e-8,0.08565866,0.000047830497,0.00045848388,0.0004249144,0.0129227005,0.00025809056],"about_ca_topic_score_codex":0.9998472,"about_ca_topic_score_gemma":0.99999744,"teacher_disagreement_score":0.020768238,"about_ca_system_score_codex":0.0026083011,"about_ca_system_score_gemma":0.007246536,"threshold_uncertainty_score":0.9999248},"labels":[],"label_agreement":null},{"id":"W78062022","doi":"10.58464/2155-5834.1138","title":"Correlates of Active School Transport Immediately Before and After the Transition from Primary to Secondary School: A Pilot-Study","year":2013,"lang":"en","type":"article","venue":"Journal of Applied Research on Children Informing Policy for Children at Risk","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto; Children's Hospital of Eastern Ontario","funders":"Canadian Institutes of Health Research; University of Ottawa","keywords":"Concordance; Psychology; Demography; Population; Novelty; Medicine; Gerontology; Developmental psychology; Environmental health; Social psychology","score_opus":0.018750163766988737,"score_gpt":0.32228558153196585,"score_spread":0.3035354177649771,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W78062022","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.993084,0.00008285264,0.00002460098,0.0010979825,0.00007168747,0.0038434698,0.0007110321,0.000020365658,0.0010640231],"genre_scores_gemma":[0.99800956,0.00011897522,0.00018924073,0.00031697642,0.0010355773,0.00016002452,0.00007011901,0.00003440617,0.00006513126],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99642086,0.00015454649,0.0009912534,0.00035141496,0.0013699263,0.00071200007],"domain_scores_gemma":[0.9975095,0.00048469316,0.00052451907,0.00035044525,0.00044109207,0.0006897669],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024326732,0.0002820295,0.0005549423,0.00064574234,0.0010347504,0.00013483112,0.00074737193,0.00015697686,0.00026844468],"category_scores_gemma":[0.0002355258,0.00019126355,0.00023162608,0.00068982795,0.0006255524,0.0007655577,0.00007194205,0.0014231397,0.000025938116],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0072833574,0.00077795057,0.90661085,0.000024632318,0.00067404326,0.0000023883754,0.050158627,0.00006215001,0.0001088677,0.00014486723,0.00084061123,0.033311673],"study_design_scores_gemma":[0.002330615,0.0019337361,0.9881124,0.00007097847,0.00011170903,0.0000029839166,0.0027786554,0.0000016494529,0.0003468931,0.004061268,0.000060873546,0.00018826773],"about_ca_topic_score_codex":0.01820061,"about_ca_topic_score_gemma":0.00435192,"teacher_disagreement_score":0.081501536,"about_ca_system_score_codex":0.00038387798,"about_ca_system_score_gemma":0.0009965651,"threshold_uncertainty_score":0.9883373},"labels":[],"label_agreement":null},{"id":"W796300959","doi":"","title":"Urban rail systems : a planning framework to increase their success","year":2000,"lang":"en","type":"dissertation","venue":"OpenGrey (Institut de l'Information Scientifique et Technique)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Urban planning; Transportation planning; Transport engineering; Government (linguistics); Investment (military); Business system planning; Land-use planning; Engineering; Business; Land use; Environmental planning; Politics; Process management; Geography; Civil engineering; Political science","score_opus":0.021971487099192895,"score_gpt":0.31686299342086205,"score_spread":0.29489150632166916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W796300959","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32416546,0.00037888007,0.06102959,0.00056578417,0.004456151,0.021591682,0.00055253523,0.0015832183,0.5856767],"genre_scores_gemma":[0.96596795,0.000107178035,0.004097056,0.00096265314,0.0004626612,0.0041035893,0.0033247944,0.00006197373,0.02091213],"study_design_codex":"qualitative","study_design_gemma":"not_applicable","domain_scores_codex":[0.99539757,0.00045911776,0.0012656227,0.0006832112,0.0012855672,0.00090893445],"domain_scores_gemma":[0.9968717,0.00019743512,0.0006808319,0.00088135217,0.0007307439,0.0006379355],"candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0060739447,0.00057011197,0.0006651133,0.00094965514,0.0016649575,0.0029116021,0.0018672419,0.0011041499,0.00067278906],"category_scores_gemma":[0.0008489403,0.000558807,0.00025585108,0.001842731,0.00024114313,0.0050638206,0.00006596265,0.0011409369,0.00026185694],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019106502,0.00062049174,0.031021994,0.0053462493,0.00025832638,0.00013475264,0.5391539,0.0017856297,0.0009322186,0.07888133,0.22078295,0.119171545],"study_design_scores_gemma":[0.0002607447,0.00003099914,0.007399612,0.004558926,0.000059971444,0.0000022600977,0.0068800915,0.00011958941,0.0027962448,0.0012823618,0.9754511,0.0011580816],"about_ca_topic_score_codex":0.0073232395,"about_ca_topic_score_gemma":0.0045421794,"teacher_disagreement_score":0.7546682,"about_ca_system_score_codex":0.0006800073,"about_ca_system_score_gemma":0.0026666236,"threshold_uncertainty_score":0.99968636},"labels":[],"label_agreement":null},{"id":"W802823024","doi":"10.71781/3007","title":"Évaluation de l’intégration \"forme urbaine – transports durables\" dans les trois grandes régions métropolitaines canadiennes : nouvelle approche exploratoire","year":2012,"lang":"fr","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geography","score_opus":0.013417385306532744,"score_gpt":0.1984016391978994,"score_spread":0.18498425389136666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W802823024","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9710326,0.011079903,0.0028301717,0.000780281,0.0012582187,0.0007796028,0.0001747348,0.00017003171,0.011894415],"genre_scores_gemma":[0.9658722,0.00097540556,0.0009303233,0.00003325344,0.000547527,0.00010742686,0.0023019323,0.000047277463,0.0291846],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99593264,0.0004421043,0.0007754254,0.0008064952,0.0009743956,0.0010689419],"domain_scores_gemma":[0.9975121,0.0001722255,0.00060718367,0.00038644185,0.00058222056,0.00073979894],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.00072829716,0.00068051164,0.00060838833,0.00033040842,0.01660846,0.000089326255,0.00054843567,0.000821113,0.0001590277],"category_scores_gemma":[0.00009380207,0.00074811967,0.00056265725,0.0008440249,0.001045052,0.001451211,0.000029894381,0.00051600876,0.000014074435],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005535142,0.0004926483,0.49091035,0.00032339946,0.00026455458,0.00029598855,0.46860158,0.0015465802,0.01413497,0.016023047,0.00012616673,0.006727195],"study_design_scores_gemma":[0.0008858202,0.00009019814,0.6663074,0.0003192233,0.001062426,0.00006785503,0.31528822,0.001288545,0.0052429205,0.0014831609,0.007071879,0.00089237705],"about_ca_topic_score_codex":0.57534677,"about_ca_topic_score_gemma":0.8436053,"teacher_disagreement_score":0.2682585,"about_ca_system_score_codex":0.008885317,"about_ca_system_score_gemma":0.0039035268,"threshold_uncertainty_score":0.999497},"labels":[],"label_agreement":null},{"id":"W810400185","doi":"","title":"Easy Ride Travel Guide: A Book That Consumers Want","year":2001,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Presentation (obstetrics); Active listening; Agency (philosophy); Service provider; Service (business); Marketing; Advertising; Tourism; Business; Public relations; Internet privacy; Psychology; Computer science; Medicine; Sociology; Geography","score_opus":0.04252153409123181,"score_gpt":0.3197739476465273,"score_spread":0.27725241355529545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W810400185","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25005347,0.00042936334,0.0008537612,0.0027184333,0.00024488303,0.0002174487,0.0000047490607,0.00013983142,0.7453381],"genre_scores_gemma":[0.8632566,0.00021372274,0.0001963701,0.0010421622,0.00007555055,0.0000060906655,0.0000033187844,0.0000059455283,0.13520025],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988624,0.00004885382,0.0001809212,0.00023250369,0.00032620196,0.00034913074],"domain_scores_gemma":[0.99951464,0.00005748832,0.000043181568,0.00017136813,0.000045302982,0.00016803268],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00043090284,0.000092956616,0.00013768655,0.000030941996,0.00032836688,0.00006334291,0.0002498478,0.00007552691,0.008664448],"category_scores_gemma":[0.000034513196,0.00007592434,0.000090961694,0.00015822133,0.0003391232,0.0003403543,0.000010034504,0.00008291137,0.00015413392],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018061854,0.00007676733,0.9604987,0.0000051614165,0.00001809238,0.000034148114,0.0026322717,2.385227e-7,0.000107588065,0.0043000025,0.026682742,0.0056262366],"study_design_scores_gemma":[0.00029183988,0.000009899671,0.30868295,0.00000833013,0.000020039233,7.7006155e-7,0.0032569575,0.000009624224,0.0005137295,0.00131729,0.68569887,0.00018972054],"about_ca_topic_score_codex":0.014158199,"about_ca_topic_score_gemma":0.017760701,"teacher_disagreement_score":0.65901613,"about_ca_system_score_codex":0.000055592147,"about_ca_system_score_gemma":0.00017442016,"threshold_uncertainty_score":0.9924066},"labels":[],"label_agreement":null},{"id":"W812988630","doi":"","title":"Cultural Barriers to Inclusive Transport for Persons with Disabilities in Southwest Nigeria","year":2007,"lang":"en","type":"article","venue":"11th International Conference on Mobility and Transport for Elderly and Disabled Persons (TRANSED)Transport CanadaTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Universal design; Economic growth; Political science; Business; Sociology; Engineering; Economics","score_opus":0.05954231056457029,"score_gpt":0.3804699223556273,"score_spread":0.32092761179105705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W812988630","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9705932,0.00006847551,0.007818368,0.006788014,0.00027229945,0.0045507825,0.0056443308,0.0001221209,0.0041424134],"genre_scores_gemma":[0.99464196,0.00013706258,0.0011519557,0.00032403145,0.00016736936,0.00095669035,0.0016285571,0.00006724373,0.00092513004],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99343246,0.00013225505,0.0012259536,0.0017313923,0.0017377922,0.0017401595],"domain_scores_gemma":[0.99589944,0.0007507448,0.00014833879,0.0004253442,0.0010616453,0.0017144782],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0037046352,0.00068398815,0.0008649791,0.000632463,0.001892248,0.00013701126,0.00071244064,0.000465145,0.0007437648],"category_scores_gemma":[0.0001248761,0.0006479791,0.00034207004,0.0008403632,0.0022236437,0.0010809317,0.0000048036754,0.0008138845,0.0000013648747],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008086889,0.00044151273,0.8762709,0.0005760258,0.00018896193,0.000061018094,0.07895523,0.00015260598,0.000361545,0.033590656,0.0000519472,0.0012626941],"study_design_scores_gemma":[0.0057894336,0.0014553949,0.7842451,0.00048377356,0.00021593501,0.0000020580278,0.18451841,0.00007744338,0.00032710133,0.004371092,0.017145205,0.001369063],"about_ca_topic_score_codex":0.077405065,"about_ca_topic_score_gemma":0.8693258,"teacher_disagreement_score":0.7919207,"about_ca_system_score_codex":0.00039581812,"about_ca_system_score_gemma":0.0020136787,"threshold_uncertainty_score":0.99959713},"labels":[],"label_agreement":null},{"id":"W825253660","doi":"","title":"If We Clear Them, Will They Come? Study to Identify Determinants of Winter Bicycling in Two Cold Canadian Cities","year":2013,"lang":"en","type":"article","venue":"Transportation Research Board 92nd Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Respondent; Cycling; Snow; Adverse weather; Geography; Logistic regression; Cold weather; Cold winter; Demographics; Environmental science; Demography; Meteorology; Medicine; Political science; Forestry","score_opus":0.08330188864337829,"score_gpt":0.44143610112594595,"score_spread":0.35813421248256766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W825253660","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.989101,0.00005886366,0.000021776848,0.0029234805,0.00020976976,0.004902623,0.00036394905,0.00011294813,0.0023056031],"genre_scores_gemma":[0.99718845,0.00013948491,0.00037385023,0.0000762466,0.00020033857,0.00067266944,0.000067114,0.000090249036,0.0011915785],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9872861,0.0022214267,0.0019558377,0.00126473,0.0047489866,0.0025229312],"domain_scores_gemma":[0.99225175,0.0013072314,0.0002431052,0.0007006099,0.004102632,0.0013946788],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.011098383,0.00044140188,0.00083891046,0.002411709,0.0014572473,0.00042626116,0.0015706173,0.00024077157,0.0016973405],"category_scores_gemma":[0.00055254414,0.0004491272,0.0002538041,0.0034072471,0.0012755016,0.0021248397,0.00002275916,0.0016085692,0.00024306244],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003231064,0.00056222576,0.8743254,0.00017790792,0.00004193633,0.00011804739,0.12133257,0.00015912384,0.00065634097,0.00080394564,0.00064219336,0.00085721875],"study_design_scores_gemma":[0.0012120178,0.0003886157,0.84683347,0.0003892781,0.000021114698,3.7994567e-8,0.14568847,0.000030275714,0.00057644723,0.0019832193,0.0024782084,0.00039881756],"about_ca_topic_score_codex":0.87415975,"about_ca_topic_score_gemma":0.9778826,"teacher_disagreement_score":0.10372288,"about_ca_system_score_codex":0.00052243535,"about_ca_system_score_gemma":0.001555482,"threshold_uncertainty_score":0.9998427},"labels":[],"label_agreement":null},{"id":"W827841679","doi":"","title":"Ipswich walks away from 1960s","year":2005,"lang":"en","type":"article","venue":"Surveyor magazine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Pedestrian; Carriageway; Transport engineering; Bus priority; Ring road; Plan (archaeology); Public transport; Population; Signage; Quarter (Canadian coin); Work (physics); Control (management); Pedestrian crossing; Engineering; Telecommunications; Computer science; Business; Geography","score_opus":0.02663975574170394,"score_gpt":0.30362909730912796,"score_spread":0.276989341567424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W827841679","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.881812,0.00047026362,0.00011641363,0.003535816,0.0004269522,0.00016608725,0.000087752174,0.00019227758,0.11319244],"genre_scores_gemma":[0.98440224,0.000036799964,0.0005062521,0.0004096459,0.0011040871,0.0000069581356,0.00009478946,0.000014740046,0.013424459],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983264,0.00024216267,0.00027267152,0.00035007516,0.00040201328,0.00040667198],"domain_scores_gemma":[0.9991544,0.00017214396,0.000070248556,0.0003123898,0.00010348415,0.00018737308],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0012953412,0.00013473295,0.00020570736,0.000042200343,0.0002936966,0.000082018014,0.0003752538,0.00012039838,0.0061976006],"category_scores_gemma":[0.00014350598,0.0001248382,0.000093949486,0.00033062408,0.00022406694,0.00038092962,0.000025714471,0.00017057155,0.0015558584],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003927688,0.000191994,0.9323245,0.000005814892,0.000026965366,0.00000871688,0.0036679087,0.0000024005585,0.0008307328,0.0006815567,0.017883362,0.04433674],"study_design_scores_gemma":[0.000216786,0.000007702989,0.6239587,0.000004853543,0.00000995546,2.8758011e-8,0.000055118722,0.000012689535,0.00018169273,0.00082256505,0.37459528,0.00013459793],"about_ca_topic_score_codex":0.0077704005,"about_ca_topic_score_gemma":0.13471745,"teacher_disagreement_score":0.35671192,"about_ca_system_score_codex":0.000078714984,"about_ca_system_score_gemma":0.0001429074,"threshold_uncertainty_score":0.99922156},"labels":[],"label_agreement":null},{"id":"W834096158","doi":"","title":"The Tragedy of the Unmet Demand for Walking and Biking","year":2013,"lang":"en","type":"article","venue":"British Journal of Canadian Studies","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"TRIPS architecture; Work (physics); Quarter (Canadian coin); Cycling; Foot (prosody); Business; Psychology; Transport engineering; Geography; Engineering","score_opus":0.02860708997706004,"score_gpt":0.2837817217293452,"score_spread":0.25517463175228516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W834096158","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9690481,0.026260162,0.000006463774,0.0032139677,0.00026838153,0.00017191406,0.000008101979,0.0000013749656,0.0010215255],"genre_scores_gemma":[0.9965215,0.002968122,0.00006779882,0.00009054127,0.00014498922,0.000003562518,4.9318242e-8,0.000003080721,0.00020035639],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9993017,0.00006895296,0.00023260005,0.000051100345,0.00015810906,0.00018754575],"domain_scores_gemma":[0.9991504,0.00025744,0.00016086113,0.00004123046,0.00029455198,0.00009551814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010112086,0.000039496717,0.00013831981,0.000046006506,0.0012616536,0.000113086804,0.00019110435,0.000023503693,0.000008967187],"category_scores_gemma":[0.000469656,0.00002632945,0.000073015035,0.00016987776,0.00044771127,0.000172249,0.0000082667875,0.000090185225,7.463346e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012492766,0.000021178415,0.4544042,0.00009080799,0.00048115052,0.00003038788,0.032273274,0.0000035516841,0.000062070794,0.0023631544,0.035268735,0.47498897],"study_design_scores_gemma":[0.0002238892,0.000019810357,0.9250122,0.00020373492,0.000054525557,0.000012435322,0.02387788,0.0000011352747,0.000041496838,0.007929548,0.042558152,0.000065239015],"about_ca_topic_score_codex":0.14151427,"about_ca_topic_score_gemma":0.89355046,"teacher_disagreement_score":0.7520362,"about_ca_system_score_codex":0.00004233918,"about_ca_system_score_gemma":0.00020617624,"threshold_uncertainty_score":0.9703747},"labels":[],"label_agreement":null},{"id":"W837335276","doi":"","title":"Cycling to High School in Toronto: An Exploration of School Travel Patterns and Attitudes by Gender","year":2015,"lang":"en","type":"article","venue":"Transportation Research Board 94th Annual Meeting","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cycling; Psychology; Sociology; Gender studies; Geography","score_opus":0.13886294793010107,"score_gpt":0.4331142155161313,"score_spread":0.2942512675860302,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W837335276","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963019,0.00018915346,0.0010102108,0.0003891417,0.00006863444,0.00060723466,0.00012438855,0.0000414537,0.0012678804],"genre_scores_gemma":[0.99847096,0.00008511133,0.0009950914,0.000049540413,0.00013035409,0.00006364602,0.00008931572,0.000017417568,0.000098573706],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.996908,0.00041940325,0.00055074,0.00045049284,0.001150936,0.0005204387],"domain_scores_gemma":[0.9982194,0.00012061367,0.000089782734,0.00017260974,0.00062626135,0.00077139033],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00355686,0.00013404268,0.00024308961,0.00013974916,0.00024278677,0.000098148215,0.0002614882,0.00012943878,0.00015875984],"category_scores_gemma":[0.00038575675,0.00013982244,0.000033498458,0.00039262505,0.00015146525,0.0030326757,0.0000072487164,0.0002778926,0.0000059173544],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015083731,0.00013471986,0.95772344,0.00007010458,0.000008147456,0.000004865587,0.0389725,0.00009983027,0.0010124246,0.00065142266,0.0001266362,0.0010450676],"study_design_scores_gemma":[0.0005342398,0.00013008894,0.90878344,0.00008324548,0.000006798918,9.832105e-9,0.08885301,0.00001659894,0.0006947936,0.00063159916,0.00011460212,0.00015160731],"about_ca_topic_score_codex":0.26584953,"about_ca_topic_score_gemma":0.4539264,"teacher_disagreement_score":0.1880769,"about_ca_system_score_codex":0.00025619645,"about_ca_system_score_gemma":0.00033314805,"threshold_uncertainty_score":0.73903924},"labels":[],"label_agreement":null},{"id":"W838541326","doi":"","title":"Bicycle Transportation Plan - City of Edmonton","year":2009,"lang":"en","type":"article","venue":"2009 ANNUAL CONFERENCE AND EXHIBITION OF THE TRANSPORTATION ASSOCIATION OF CANADA - TRANSPORTATION IN A CLIMATE OF CHANGE","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Plan (archaeology); Suburbanization; Transport engineering; Transportation planning; Engineering; Business; Geography","score_opus":0.032408711781247816,"score_gpt":0.27047743733808505,"score_spread":0.23806872555683722,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W838541326","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9935714,0.00009376532,0.0000651992,0.0016507909,0.00017182577,0.0005309776,0.003242895,0.000016763155,0.00065636047],"genre_scores_gemma":[0.99891496,0.00031135275,0.0000939129,0.00007903455,0.000029425433,0.000016150321,0.00049162575,0.000008563036,0.000054990276],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99698746,0.00012033879,0.0013164632,0.00025223268,0.0010175317,0.0003059434],"domain_scores_gemma":[0.9972456,0.00012827465,0.0015323111,0.00015671963,0.0008447317,0.00009238061],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007442039,0.00018613477,0.0005232267,0.00017029092,0.00012611363,0.000008358517,0.00021227702,0.00020857115,0.00015054677],"category_scores_gemma":[0.000047805013,0.00018369405,0.00015134923,0.0006206917,0.0001711321,0.0006540906,6.6944784e-7,0.00015167407,8.599196e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005704708,0.0002797679,0.94351536,0.0003636132,0.000035601803,0.0000013183383,0.04271745,0.00013097507,0.0016813835,0.009206765,0.00010446867,0.0013928228],"study_design_scores_gemma":[0.0012254947,0.00011519537,0.98617715,0.00026294103,0.00009409299,1.3816745e-8,0.005444064,0.000016419426,0.005058404,0.001250244,0.0001946201,0.0001613739],"about_ca_topic_score_codex":0.18232824,"about_ca_topic_score_gemma":0.90052015,"teacher_disagreement_score":0.71819186,"about_ca_system_score_codex":0.00011244107,"about_ca_system_score_gemma":0.0005139132,"threshold_uncertainty_score":0.8231167},"labels":[],"label_agreement":null},{"id":"W842203037","doi":"","title":"Transformation to an Active Community: City of Cornwall","year":2012,"lang":"en","type":"article","venue":"2012 CONFERENCE AND EXHIBITION OF THE TRANSPORTATION ASSOCIATION OF CANADA - TRANSPORTATION: INNOVATIONS AND OPPORTUNITIES","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Plan (archaeology); Pedestrian; Work (physics); Environmental planning; Transportation planning; Urban planning; Sustainable transport; Sustainable community; Transport engineering; Sustainability; Geography; Business; Political science; Sustainable development; Engineering; Civil engineering","score_opus":0.06846334249561416,"score_gpt":0.2838303905058073,"score_spread":0.21536704801019313,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W842203037","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9916308,0.00003723578,0.0010885136,0.0031367738,0.00016619315,0.00038980576,0.0014048886,0.0000173724,0.0021284427],"genre_scores_gemma":[0.9984283,0.00009935061,0.00015984842,0.0002486317,0.000031019343,0.00002246876,0.00059359823,0.000008342296,0.0004084278],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979903,0.00019640938,0.0008328376,0.000112123445,0.00063683034,0.00023149827],"domain_scores_gemma":[0.9975705,0.00014191346,0.00075734785,0.00015910744,0.0012136421,0.00015746368],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010323012,0.0001445448,0.00030536109,0.0001517745,0.00052227755,0.000017751243,0.00015091966,0.00012764422,0.00021436732],"category_scores_gemma":[0.00004085069,0.00013917145,0.000057063025,0.00043938047,0.00024063233,0.0014239097,0.0000018379214,0.0001777792,6.9866054e-8],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015654837,0.00036094105,0.54011303,0.00037185792,0.00012526708,2.418879e-7,0.12844184,0.000046395387,0.0017911162,0.32169774,0.00042131287,0.0064737173],"study_design_scores_gemma":[0.00039414517,0.000052771225,0.95986825,0.000087615495,0.00010703075,6.478053e-8,0.031171378,0.000006933818,0.0033276067,0.0014843426,0.0033402157,0.0001596435],"about_ca_topic_score_codex":0.101930834,"about_ca_topic_score_gemma":0.72489756,"teacher_disagreement_score":0.6229667,"about_ca_system_score_codex":0.00008698467,"about_ca_system_score_gemma":0.000806494,"threshold_uncertainty_score":0.90404946},"labels":[],"label_agreement":null},{"id":"W844830085","doi":"","title":"MEASURING URBAN TRANSPORT SUSTAINABILITY: A COMPARATIVE ANALYSIS","year":2001,"lang":"en","type":"article","venue":"Selected Proceedings of the 9th World Conference on Transport ResearchWorld Conference on Transport Research Society","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Scope (computer science); Sustainability; Transferability; Land use; Environmental planning; Urban planning; Regional science; Transportation planning; Transport engineering; Population; Business; Geography; Land-use planning; Environmental resource management; Economic growth; Engineering; Economics; Computer science; Civil engineering","score_opus":0.1740430785196291,"score_gpt":0.38383283907932303,"score_spread":0.20978976055969392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W844830085","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82183504,0.00012944931,0.00018455603,0.013905056,0.00021134574,0.0041393344,0.00015365964,0.00046420874,0.15897733],"genre_scores_gemma":[0.96049404,0.000808964,0.00016617897,0.0001240997,0.000247121,0.00048304675,0.00013143288,0.000078627985,0.037466478],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98248506,0.00058977935,0.0020083953,0.0026593267,0.008310724,0.003946739],"domain_scores_gemma":[0.9833448,0.00061630603,0.0006131268,0.0013131984,0.012727646,0.0013849128],"candidate_categories":["metaepi_narrow","bibliometrics","sts","research_integrity","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.009551674,0.001138652,0.0021175197,0.001783137,0.003542896,0.00031783056,0.005127701,0.00061657093,0.002752733],"category_scores_gemma":[0.00025453698,0.00094120187,0.0020469772,0.025140133,0.006272294,0.0012377608,0.00007549393,0.0053908695,0.00002731939],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022766585,0.0017344514,0.8335774,0.0005018026,0.0014942182,0.000041676623,0.029734645,0.00007683663,0.0016999252,0.12695399,0.0009937718,0.00091464154],"study_design_scores_gemma":[0.0022791775,0.00080391014,0.93087286,0.0010795445,0.000962403,0.000001636595,0.022520848,0.00063795096,0.006839594,0.018490534,0.013735965,0.0017755816],"about_ca_topic_score_codex":0.008768068,"about_ca_topic_score_gemma":0.052551497,"teacher_disagreement_score":0.13865899,"about_ca_system_score_codex":0.0013396529,"about_ca_system_score_gemma":0.0064838743,"threshold_uncertainty_score":0.9993039},"labels":[],"label_agreement":null},{"id":"W847015078","doi":"","title":"The Role of the Built Environment","year":2010,"lang":"en","type":"article","venue":"The Medicine Forum","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science","score_opus":0.008412028602084561,"score_gpt":0.26287792906935575,"score_spread":0.2544659004672712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W847015078","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.879276,0.00065778475,0.0000103823295,0.077473626,0.0006636596,0.00024446085,0.000002011794,0.000012973367,0.041659128],"genre_scores_gemma":[0.99683404,0.00004926272,0.000004588693,0.00024500798,0.00030141583,0.0000066229736,4.0725547e-7,0.0000033739148,0.00255527],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.999143,0.00006440929,0.00014152989,0.000078207355,0.0003738085,0.00019902087],"domain_scores_gemma":[0.9992796,0.00016525613,0.000080330385,0.00042451906,0.000013660779,0.00003658761],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011160399,0.00005147925,0.00007444472,0.0000052134455,0.0007909488,0.000007059729,0.00074481685,0.00003409324,0.00040844578],"category_scores_gemma":[0.000105549436,0.00001748623,0.000048588314,0.00008508699,0.0018047377,0.000033119697,0.00004471505,0.00020061432,0.00001088338],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026618167,0.000062249404,0.84792805,0.0000040438285,0.000025595413,3.1227208e-7,0.01927781,0.0000015728132,0.010038987,0.06646989,0.0061889016,0.04997599],"study_design_scores_gemma":[0.00011800594,0.000020293472,0.19805463,0.000007204005,0.000024308934,1.1602435e-7,0.008693343,0.000010527737,0.001711744,0.04745751,0.7438655,0.000036822417],"about_ca_topic_score_codex":0.0034290862,"about_ca_topic_score_gemma":0.010855222,"teacher_disagreement_score":0.7376766,"about_ca_system_score_codex":0.000009071807,"about_ca_system_score_gemma":0.000037990856,"threshold_uncertainty_score":0.6649631},"labels":[],"label_agreement":null},{"id":"W84922629","doi":"","title":"From arterial integration to segregated lanes: A 1988-2011 case study of cycling routes in Vancouver, British Columbia","year":2012,"lang":"en","type":"dissertation","venue":"Summit (Simon Fraser University)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Simon Fraser University","keywords":"Cycling; Downtown; Forester; Transport engineering; Plan (archaeology); Perspective (graphical); Geography; Engineering; Archaeology; Forestry; Visual arts; Art","score_opus":0.01559180741781069,"score_gpt":0.25050307226597657,"score_spread":0.23491126484816588,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W84922629","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944496,0.00004375311,0.0000108866425,0.0000038981407,0.001620877,0.0008769149,0.00016917638,0.000069606256,0.0027552915],"genre_scores_gemma":[0.98987764,0.00001185572,0.00003616297,0.0000065570844,0.0002426717,0.0000036600961,0.00063376623,0.00002025721,0.009167451],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.998149,0.0002557709,0.0003948174,0.0005098508,0.0003683623,0.0003221971],"domain_scores_gemma":[0.9989701,0.000095429714,0.00028953108,0.00024675665,0.00021890206,0.00017929482],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00025014093,0.00019087076,0.00047766705,0.0002650449,0.00031948098,0.00015169816,0.00040199317,0.00038688455,0.0009011169],"category_scores_gemma":[0.000048193073,0.00030999127,0.000107763895,0.00077412964,0.00006175596,0.00062963413,0.000024477777,0.00031291452,0.00001059703],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018098734,0.0006863126,0.980766,0.000027529424,0.000053210562,0.0012395271,0.010343015,0.000003717007,0.000011195614,0.0000015112139,0.0024893042,0.0041976958],"study_design_scores_gemma":[0.00137735,0.00009345814,0.17185244,0.000216939,0.00023539674,4.8103295e-9,0.8225632,0.000005694172,0.000056523455,0.000065361746,0.0031262531,0.00040742458],"about_ca_topic_score_codex":0.9215616,"about_ca_topic_score_gemma":0.9999466,"teacher_disagreement_score":0.81222016,"about_ca_system_score_codex":0.00024367307,"about_ca_system_score_gemma":0.00022074574,"threshold_uncertainty_score":0.9999352},"labels":[],"label_agreement":null},{"id":"W855084505","doi":"","title":"Evaluating Pedestrian Accessibility at Level Railroad Crossings","year":2014,"lang":"en","type":"article","venue":"Transportation Research Board 93rd Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Pedestrian; Transport engineering; Train; Pedestrian crossing; Level crossing; Level design; Computer science; Engineering; Geography; Human–computer interaction","score_opus":0.24490714966755486,"score_gpt":0.5055015617615051,"score_spread":0.2605944120939502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W855084505","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9750546,0.00022656817,0.0009867395,0.004086903,0.00046772932,0.002795198,0.0005211934,0.00060627423,0.015254783],"genre_scores_gemma":[0.98219967,0.00017527789,0.0033039248,0.00015435008,0.00090558175,0.000561396,0.00065318675,0.00014230434,0.011904282],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9744857,0.006052053,0.0023661265,0.002597189,0.010717066,0.0037818954],"domain_scores_gemma":[0.98461705,0.0039469087,0.00052737107,0.001353184,0.007842169,0.0017132859],"candidate_categories":["metaresearch","metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.040928163,0.0006959156,0.0009801552,0.0013691736,0.00832874,0.0010127669,0.0022164793,0.00082689576,0.0027028485],"category_scores_gemma":[0.0040015914,0.00072379183,0.00056056085,0.0045580524,0.0050027985,0.0025890185,0.000051316198,0.0028735904,0.0004272927],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002062042,0.0007412234,0.89660186,0.00075640663,0.000105388826,0.000072285606,0.059837822,0.00030632986,0.004840268,0.0064544417,0.0050529633,0.02316897],"study_design_scores_gemma":[0.002480363,0.0005378062,0.90711874,0.0002756447,0.000060491555,1.1112327e-7,0.011780455,0.00025058462,0.0017505231,0.0063740783,0.068549186,0.00082199706],"about_ca_topic_score_codex":0.08853783,"about_ca_topic_score_gemma":0.28388745,"teacher_disagreement_score":0.19534962,"about_ca_system_score_codex":0.0010974891,"about_ca_system_score_gemma":0.0021748843,"threshold_uncertainty_score":0.9995213},"labels":[],"label_agreement":null},{"id":"W856626576","doi":"","title":"High-Touch/High-Tech Charrettes","year":2011,"lang":"en","type":"article","venue":"Planning","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Newspaper; Plan (archaeology); Web site; Virginia tech; Strengths and weaknesses; Public relations; The Internet; World Wide Web; Sociology; Engineering; Business; Computer science; Political science; Library science; Advertising; Psychology; Archaeology; History","score_opus":0.06196776923563956,"score_gpt":0.29744705503530394,"score_spread":0.23547928579966437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W856626576","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9651552,0.000108384615,0.0002502657,0.00016504034,0.0004864419,0.00008921781,0.000006207655,0.00019742397,0.03354181],"genre_scores_gemma":[0.9975952,0.0000048477345,0.0011568146,0.00012229633,0.00035808666,0.0000058555165,0.000010030518,0.000008166653,0.0007387135],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99908036,0.00003780934,0.00014729763,0.00020761606,0.00022071783,0.00030622855],"domain_scores_gemma":[0.99962294,0.000047307527,0.00005933656,0.00014188753,0.000034363482,0.00009418561],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00029808094,0.00008546397,0.00012738371,0.000043522334,0.00037993424,0.000038745507,0.00027359804,0.000084964944,0.0012040366],"category_scores_gemma":[0.00004549412,0.0000795365,0.000039892468,0.00017126057,0.00014243068,0.00027336582,0.000015529924,0.00013136922,0.00008638609],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018346154,0.000048029473,0.95897114,0.00000987682,0.0000146801785,0.0000330468,0.029189235,0.0000011332259,0.00020766586,0.008908255,0.0011226111,0.0014759601],"study_design_scores_gemma":[0.00020567374,0.000024661886,0.97580916,0.000042934167,0.000022711212,1.7983096e-7,0.0026144725,0.0000035982441,0.0034454167,0.011142975,0.0064412323,0.00024699888],"about_ca_topic_score_codex":0.008109892,"about_ca_topic_score_gemma":0.00045803358,"teacher_disagreement_score":0.032803096,"about_ca_system_score_codex":0.000023576558,"about_ca_system_score_gemma":0.0000447575,"threshold_uncertainty_score":0.999709},"labels":[],"label_agreement":null},{"id":"W85848675","doi":"","title":"Vancouver's Public Bicycle System","year":2010,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Downtown; Scope (computer science); Transport engineering; Public transport; Business; Engineering; Computer science; Geography; Archaeology","score_opus":0.018438312131899837,"score_gpt":0.27534500595403716,"score_spread":0.2569066938221373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W85848675","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5677389,0.0000044454514,0.00013546723,0.0003663784,0.0012079031,0.00006598778,0.0000011448444,0.00021584977,0.43026394],"genre_scores_gemma":[0.99125963,3.8938342e-7,0.00031471654,0.00006348417,0.0003259569,0.000005027375,9.4728404e-7,0.0000039414754,0.008025889],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99928737,0.000025080282,0.00010846132,0.00014431994,0.00021131332,0.00022344152],"domain_scores_gemma":[0.9995711,0.000027459197,0.00002827493,0.0001708357,0.00006262357,0.00013973456],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00045738026,0.000047403595,0.000071202405,0.000027967093,0.0003489182,0.00008874137,0.0002503834,0.0000766793,0.0019715275],"category_scores_gemma":[0.000038532165,0.000038282622,0.000044529053,0.00019682384,0.00015139503,0.00035739935,0.000010066016,0.00011599898,0.00011203138],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000018549268,0.00005049374,0.86712277,0.000012581932,0.000005445509,0.000003038939,0.00086342625,5.1725994e-8,0.00033018793,0.119243376,0.007812788,0.0045539825],"study_design_scores_gemma":[0.00026303797,0.000010551789,0.28009787,0.000006024078,0.0000116002875,1.5024362e-7,0.008259858,0.000050978586,0.00047775533,0.0024278793,0.7081053,0.00028893838],"about_ca_topic_score_codex":0.004774189,"about_ca_topic_score_gemma":0.26358044,"teacher_disagreement_score":0.7002925,"about_ca_system_score_codex":0.000024468836,"about_ca_system_score_gemma":0.0001236398,"threshold_uncertainty_score":0.9989408},"labels":[],"label_agreement":null},{"id":"W8761288","doi":"","title":"The Impact of the Suburbanization of Employment on Transit Modal Share: A Toronto Region Case Study","year":2013,"lang":"en","type":"article","venue":"Transportation Research Board 92nd Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Suburbanization; TRIPS architecture; Modal; Work (physics); Mode choice; Transit (satellite); Transport engineering; Public transport; Business; Geography; Engineering","score_opus":0.08023594909803668,"score_gpt":0.4267595397092486,"score_spread":0.34652359061121196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W8761288","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9907433,0.00020533023,0.00007932485,0.001658917,0.00014683243,0.005571107,0.00020754183,0.00008185303,0.0013058264],"genre_scores_gemma":[0.99793255,0.00018517896,0.000048044458,0.000012902605,0.0001399593,0.000593354,0.000056551715,0.000061103536,0.00097033277],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98795724,0.0029310854,0.0016267827,0.000870852,0.0052271415,0.0013868985],"domain_scores_gemma":[0.9901364,0.0017102722,0.00044068522,0.0009958651,0.0062532746,0.00046354727],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0069255675,0.00038032152,0.0005467862,0.00034169728,0.0028618982,0.00023353758,0.0013447485,0.00027790075,0.0005254321],"category_scores_gemma":[0.0004686864,0.00025074024,0.0005369614,0.0025962484,0.002129081,0.0012415366,0.000015294958,0.0011133192,0.000013746233],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010123673,0.0019230156,0.8677272,0.0001559107,0.00024778175,0.00017299918,0.11661133,0.0013365264,0.00094244437,0.0025838679,0.0031040087,0.004182539],"study_design_scores_gemma":[0.0012055928,0.0011648511,0.891092,0.00015375139,0.000047797916,4.7983855e-7,0.10418295,0.000091344074,0.0006151352,0.00073781615,0.00045328043,0.00025497732],"about_ca_topic_score_codex":0.56909597,"about_ca_topic_score_gemma":0.45049605,"teacher_disagreement_score":0.11859989,"about_ca_system_score_codex":0.0005810023,"about_ca_system_score_gemma":0.0011966925,"threshold_uncertainty_score":0.99999446},"labels":[],"label_agreement":null},{"id":"W9025124","doi":"10.1016/s0028-3932(96)00069-3","title":"Insight into Montreal's Bikesharing System","year":2011,"lang":"en","type":"article","venue":"Transportation Research Board 90th Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Institute of Mental Health","keywords":"TRIPS architecture; Software deployment; Intuition; Operations research; Computer science; Operations management; Transport engineering; Geography; Engineering; Psychology","score_opus":0.0994654717933808,"score_gpt":0.3899191878623778,"score_spread":0.29045371606899695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W9025124","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8913492,0.0005062803,0.00068227365,0.00083942467,0.00048237536,0.0026907676,0.00023881276,0.00094990886,0.10226097],"genre_scores_gemma":[0.9928287,0.00035732065,0.0025669266,0.000064030624,0.0005028611,0.00068894454,0.00032211613,0.00013119067,0.0025378668],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98403597,0.0024746459,0.001812066,0.001824581,0.0068418263,0.0030109345],"domain_scores_gemma":[0.9897038,0.0010019181,0.00031918584,0.001022078,0.0059323413,0.0020207183],"candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.012780938,0.0005705164,0.0007801792,0.0019821313,0.0042246287,0.00036854655,0.0018899149,0.0006901309,0.0017315623],"category_scores_gemma":[0.00066884037,0.00058996055,0.00042180106,0.0048008254,0.0027533174,0.0023337216,0.000025184714,0.0024857805,0.00042009706],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015738487,0.00076743565,0.6202896,0.0010313444,0.0001584398,0.00065916625,0.31712568,0.000049364087,0.00070394453,0.04765276,0.0022859236,0.007702455],"study_design_scores_gemma":[0.0013785093,0.00037977027,0.87132996,0.00044578596,0.00006538647,1.3891997e-7,0.08123404,0.000054868673,0.0016222376,0.0034949884,0.039242223,0.0007520708],"about_ca_topic_score_codex":0.39838082,"about_ca_topic_score_gemma":0.43847796,"teacher_disagreement_score":0.25104034,"about_ca_system_score_codex":0.0007352966,"about_ca_system_score_gemma":0.0018477017,"threshold_uncertainty_score":0.9999606},"labels":[],"label_agreement":null},{"id":"W903373658","doi":"10.35648/20.500.12413/11781/ii008","title":"Impacto del Sistema de Cable Aéreo (Metrocable) Sobre la Accesibilidad en la Comuna #1 de Medellín","year":2011,"lang":"es","type":"report","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"","keywords":"Political science; Humanities; Geography; Art","score_opus":0.04063217804609336,"score_gpt":0.3428721525158611,"score_spread":0.30223997446976775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W903373658","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24464154,0.0014493972,0.0012175603,0.00018404207,0.0006116887,0.0012473593,0.0001297693,0.00038446055,0.75013417],"genre_scores_gemma":[0.89107525,0.009253422,0.0015552726,0.00020310094,0.0009073086,0.00013533709,0.000113326896,0.00015325058,0.096603744],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9901593,0.0020331354,0.0018714187,0.0016856596,0.0019512061,0.0022993016],"domain_scores_gemma":[0.9935383,0.0018904,0.0011679676,0.0014984229,0.00066632405,0.001238543],"candidate_categories":["metaepi_narrow","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.012099232,0.0012124283,0.0020320392,0.00041301438,0.0010793277,0.0010924753,0.0027776149,0.0027574475,0.0046617966],"category_scores_gemma":[0.00097498635,0.0010311338,0.0012544306,0.0012646909,0.0012359311,0.0011425668,0.0003070982,0.0017687142,0.00017351775],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016228177,0.0011398632,0.9586843,0.0021167672,0.00064737897,0.00040712173,0.012282223,0.000019352552,0.00015568998,0.0012410916,0.012603914,0.010539991],"study_design_scores_gemma":[0.0013446695,0.00030146737,0.4323049,0.0015472923,0.00218404,0.0001121649,0.01544684,0.00021080712,0.001684909,0.0059694457,0.53556085,0.0033326393],"about_ca_topic_score_codex":0.25946075,"about_ca_topic_score_gemma":0.05353576,"teacher_disagreement_score":0.6535304,"about_ca_system_score_codex":0.0016898251,"about_ca_system_score_gemma":0.009626649,"threshold_uncertainty_score":0.9999445},"labels":[],"label_agreement":null},{"id":"W91489178","doi":"","title":"Cycle Zone Analysis: An Innovative Approach to Bicycle Planning","year":2010,"lang":"en","type":"article","venue":"Transportation Research Board 89th Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cycling; Transport engineering; Metric (unit); Transportation planning; Quality (philosophy); Geographic information system; Population; Land use; Plan (archaeology); Traffic calming; Engineering; Computer science; Geography; Civil engineering; Operations management; Cartography","score_opus":0.08130690266404221,"score_gpt":0.4406965390906865,"score_spread":0.3593896364266443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W91489178","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9710384,0.000051158822,0.0060975137,0.001829479,0.00028160744,0.0025852358,0.000534751,0.00052984577,0.01705201],"genre_scores_gemma":[0.98405814,0.000018078881,0.01092833,0.00020924585,0.0006437538,0.0007627158,0.0015167887,0.00010549078,0.0017574459],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.984063,0.0020301705,0.0016313795,0.0021434152,0.0071149967,0.0030170032],"domain_scores_gemma":[0.9868215,0.0010277017,0.0002745451,0.0011818471,0.008550775,0.002143688],"candidate_categories":["metaepi_narrow","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.017319087,0.0005490853,0.00087671255,0.003990214,0.0036598358,0.0006623501,0.0019917823,0.00068137,0.0007884989],"category_scores_gemma":[0.0008500796,0.0005790576,0.00035696055,0.0197476,0.0022462364,0.0024748386,0.000022684833,0.003914627,0.00018828745],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011273889,0.0014632524,0.8112614,0.00017604193,0.00035041966,0.00009886948,0.15537013,0.004872426,0.0039069112,0.017614035,0.0015220267,0.0022370776],"study_design_scores_gemma":[0.00087742694,0.0003519471,0.9208717,0.000042412375,0.00012140455,5.791996e-8,0.043770276,0.00032314527,0.0006776518,0.0011948165,0.031064028,0.0007051374],"about_ca_topic_score_codex":0.071411826,"about_ca_topic_score_gemma":0.20244627,"teacher_disagreement_score":0.13103445,"about_ca_system_score_codex":0.00023284864,"about_ca_system_score_gemma":0.0014836589,"threshold_uncertainty_score":0.9996661},"labels":[],"label_agreement":null},{"id":"W92216486","doi":"10.1016/s0749-3797(02)00472-5","title":"Exploring the effect of the environment on physical activity","year":2002,"lang":"en","type":"article","venue":"American Journal of Preventive Medicine","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":365,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Fitness and Lifestyle Research Institute","funders":"","keywords":"Physical activity; MEDLINE; Environmental health; Medicine; Physical medicine and rehabilitation; Political science","score_opus":0.04571318174470107,"score_gpt":0.3041547347456479,"score_spread":0.25844155300094684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W92216486","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99448436,0.000056490207,0.000080779406,0.0034718579,0.00021511441,0.00013762408,7.776022e-7,0.0000023402765,0.0015506519],"genre_scores_gemma":[0.9993046,0.00006408953,0.000004816137,0.000030214675,0.00038742222,0.000003669197,3.392401e-8,0.0000038956746,0.00020128088],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9983386,0.00069794204,0.0001606832,0.00008242045,0.0005925611,0.00012782477],"domain_scores_gemma":[0.99874884,0.00056546327,0.0004496203,0.00015428037,0.00002296826,0.000058831014],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010092548,0.0000787214,0.00028425452,0.000025501986,0.00015981267,0.0000033885926,0.00033316438,0.000006770328,0.00014703922],"category_scores_gemma":[0.0001729044,0.000032580316,0.00016606491,0.00021406561,0.0016481177,0.00012603476,0.000016145592,0.00024792762,0.0000027250514],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019157855,0.00040143784,0.23042507,0.00001553512,0.00016637148,0.00000762177,0.03438898,0.000033229433,0.0024088675,0.00013119585,0.00029530525,0.7315348],"study_design_scores_gemma":[0.00060394505,0.0027419191,0.9832712,0.00020762283,0.00019792003,7.184619e-7,0.0028477467,0.000014796713,0.0076252534,0.00015522432,0.0022611478,0.000072515686],"about_ca_topic_score_codex":0.00023617042,"about_ca_topic_score_gemma":0.000012987842,"teacher_disagreement_score":0.7528461,"about_ca_system_score_codex":0.000058197304,"about_ca_system_score_gemma":0.0000114356535,"threshold_uncertainty_score":0.6072558},"labels":[],"label_agreement":null},{"id":"W928983084","doi":"10.1007/s11116-015-9624-z","title":"Trend analysis of activity generation attributes over time","year":2015,"lang":"en","type":"article","venue":"Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Polytechnique Montréal","funders":"Ministère des Transports","keywords":"Duration (music); Time-use survey; Distribution (mathematics); Econometrics; Period (music); Travel time; Statistics; Work (physics); Environmental science; Geography; Mathematics; Transport engineering; Engineering","score_opus":0.06464822307514097,"score_gpt":0.3294397775981814,"score_spread":0.26479155452304043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W928983084","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99723244,0.000029991395,0.0013814807,0.00010206149,0.000062483814,0.000090613095,0.00014018572,0.000040472103,0.00092029443],"genre_scores_gemma":[0.99868023,0.0000048796232,0.00011342862,0.000011158404,0.00006664005,0.0000039147385,0.0007635717,0.0000035436076,0.0003526233],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999156,0.000056435598,0.00018999327,0.00015171042,0.00033312142,0.00011275228],"domain_scores_gemma":[0.9996108,0.000025320278,0.00011141042,0.000101342644,0.00007133822,0.00007981588],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040829703,0.000061742576,0.00017771659,0.000120408986,0.00007618476,0.000014634451,0.00007421215,0.000068294554,0.00039873176],"category_scores_gemma":[0.00001307899,0.00006117133,0.00011320367,0.0008915206,0.00008298309,0.00039767055,4.5231894e-7,0.00003777468,0.0000039003553],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037649595,0.00011515981,0.9810342,0.0000052005003,0.00015533042,9.880015e-7,0.010964601,0.00071258046,0.004062646,0.0005719869,0.00026791941,0.0020717368],"study_design_scores_gemma":[0.00018321483,0.000015773561,0.99597704,0.0000016494776,0.0005113696,1.7882557e-9,0.00012524203,0.0010635793,0.001366813,0.00012392685,0.00055807765,0.00007328637],"about_ca_topic_score_codex":0.0043245982,"about_ca_topic_score_gemma":0.05611636,"teacher_disagreement_score":0.05179176,"about_ca_system_score_codex":0.00004020337,"about_ca_system_score_gemma":0.00007375363,"threshold_uncertainty_score":0.9611071},"labels":[],"label_agreement":null},{"id":"W935562121","doi":"","title":"Downtown Winnipeg: Developments and Investments, 2005-2013","year":2013,"lang":"en","type":"article","venue":"WinnSpace (University of Winnipeg)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Downtown; Heading (navigation); Investment (military); Representation (politics); Diversity (politics); Geography; Political science; Archaeology; Law","score_opus":0.013553510150818309,"score_gpt":0.22094976949818682,"score_spread":0.2073962593473685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W935562121","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96367157,0.00035699902,0.00015250903,0.008682434,0.00013867741,0.0004459268,0.000012056888,0.000100346806,0.026439514],"genre_scores_gemma":[0.97440857,0.0002420971,0.0036682151,0.0002004724,0.00005773711,9.158354e-7,0.000014527936,0.000010226384,0.021397227],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99848884,0.00009600166,0.00014888185,0.0003780922,0.00041567895,0.00047249297],"domain_scores_gemma":[0.999048,0.00004574132,0.00015603093,0.00024604634,0.00016471234,0.0003394786],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00033390246,0.00016885849,0.0002708116,0.00014114336,0.0006739895,0.000057116005,0.00044556506,0.00017048143,0.0028728477],"category_scores_gemma":[0.000024800544,0.0001955968,0.000075382624,0.0003749295,0.0009362059,0.0012727763,0.00010310725,0.00015126655,0.0001770694],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003955348,0.00022206514,0.9108897,0.0000763146,0.0001342059,0.000019283416,0.035645824,0.0000024782807,0.00090882974,0.0025112745,0.034976725,0.014573767],"study_design_scores_gemma":[0.0006067614,0.000022069074,0.8352324,0.000037387847,0.000038477552,3.4119796e-7,0.011476812,0.000017173612,0.000043139535,0.0010357333,0.15122104,0.0002687002],"about_ca_topic_score_codex":0.04553608,"about_ca_topic_score_gemma":0.014944939,"teacher_disagreement_score":0.116244316,"about_ca_system_score_codex":0.000103550585,"about_ca_system_score_gemma":0.00023410126,"threshold_uncertainty_score":0.99803865},"labels":[],"label_agreement":null},{"id":"W943121014","doi":"10.1016/j.regsciurbeco.2015.07.004","title":"Sports facilities, agglomeration, and public subsidies","year":2015,"lang":"en","type":"article","venue":"Regional Science and Urban Economics","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":93,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Subsidy; Monopolistic competition; Economies of agglomeration; Business; Welfare; Consumption (sociology); Competition (biology); Service (business); Production (economics); Property tax; Industrial organization; Economics; Microeconomics; Finance; Market economy; Marketing; Monopoly; Revenue","score_opus":0.05954792683890385,"score_gpt":0.2690794215431976,"score_spread":0.20953149470429372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W943121014","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98377985,0.0007449792,0.000009208534,0.004154507,0.0001418424,0.00009146216,0.000006193124,0.000028163895,0.011043808],"genre_scores_gemma":[0.99744374,0.0004754794,0.00008841074,0.00029583607,0.00015303858,0.000003889491,0.0000038040446,0.0000026509529,0.0015331529],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989674,0.00001679843,0.00015788552,0.00031010355,0.00025508675,0.0002927076],"domain_scores_gemma":[0.99920064,0.0000292667,0.00006106188,0.00010711483,0.00020761922,0.00039430702],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012716298,0.00007820324,0.00011215034,0.00008049061,0.0006868452,0.00030976202,0.00017804175,0.000045525754,0.000025803367],"category_scores_gemma":[0.00010300519,0.0000739353,0.000016929376,0.00020413041,0.0024785672,0.0015124428,0.000032162254,0.000051107767,0.0000032733737],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000052658074,0.000016050411,0.91020983,0.0000035404637,0.0000022679571,8.0961655e-7,0.0059221517,0.0000011400426,0.0000035801531,0.079044946,0.002188459,0.0026019607],"study_design_scores_gemma":[0.00026673762,0.000029946461,0.31709486,0.0000066052603,0.0000061496326,0.000003088882,0.015867315,0.00015658759,0.000014199009,0.02447679,0.64180565,0.00027204226],"about_ca_topic_score_codex":0.0009255187,"about_ca_topic_score_gemma":0.002524648,"teacher_disagreement_score":0.6396172,"about_ca_system_score_codex":0.0001292921,"about_ca_system_score_gemma":0.0010965394,"threshold_uncertainty_score":0.9132384},"labels":[],"label_agreement":null},{"id":"W954060252","doi":"","title":"Retail travel behavior across socio-economic groups: a cluster analysis of Brisbane household travel survey data","year":2013,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"TRIPS architecture; Socioeconomic status; Travel behavior; Destinations; Geography; Travel survey; Public transport; Mode choice; Work (physics); Transport engineering; Marketing; Quarter (Canadian coin); Sample (material); Trip generation; Advertising; Business; Demographic economics; Tourism; Demography; Population; Engineering; Economics; Sociology","score_opus":0.12447842906258406,"score_gpt":0.3481652831073467,"score_spread":0.22368685404476263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W954060252","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940266,0.000052070474,0.00066073326,0.00026405012,0.00015942969,0.00044660398,0.0018844451,0.000051374565,0.0024547179],"genre_scores_gemma":[0.99507946,0.000029630299,0.00014385214,0.00013556653,0.0000800497,0.000025196876,0.00071212027,0.00001752891,0.0037766097],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975342,0.00023880659,0.0006930303,0.0006614168,0.0003492759,0.0005232673],"domain_scores_gemma":[0.9981816,0.00022826261,0.00023931685,0.0010585225,0.00010078025,0.00019155924],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002491399,0.0001876436,0.0006150641,0.000100895544,0.00036931827,0.00018485928,0.0013628043,0.00021945543,0.004241554],"category_scores_gemma":[0.000052186115,0.00016788609,0.00024726242,0.0005841966,0.0007096102,0.001103152,0.00011926254,0.00016178502,0.000048787508],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012323483,0.00017168907,0.99241465,0.0000076180645,0.00023052213,7.792792e-7,0.00393651,0.000005722335,0.00007673504,0.000043826403,0.001255915,0.001843679],"study_design_scores_gemma":[0.00031569885,0.000013032519,0.99307686,0.0000027399146,0.0004916458,5.251107e-8,0.0052231606,0.00051688,0.000050578987,0.000044535216,0.000043736934,0.00022108376],"about_ca_topic_score_codex":0.31482622,"about_ca_topic_score_gemma":0.38243914,"teacher_disagreement_score":0.06761292,"about_ca_system_score_codex":0.00009597512,"about_ca_system_score_gemma":0.00014995271,"threshold_uncertainty_score":0.9966687},"labels":[],"label_agreement":null},{"id":"W978396053","doi":"","title":"Sustainability in Toronto : a Personal Rapid Transit System and a Community Development Plan for Cherry Beach","year":2009,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Downtown; Sustainability; Plan (archaeology); Port (circuit theory); Diversity (politics); Environmental planning; Urban planning; Geography; Business; Transport engineering; Sociology; Engineering; Civil engineering; Archaeology","score_opus":0.029882910698206394,"score_gpt":0.3050655297761606,"score_spread":0.27518261907795416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W978396053","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9836815,0.00028524906,0.00059625955,0.001106016,0.00002860398,0.0007304317,0.0000049047862,0.00007720591,0.013489809],"genre_scores_gemma":[0.99902636,0.0000024872786,0.00052907097,0.00007250797,0.000030607112,0.000033052587,0.000009596172,0.0000030081917,0.00029332886],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9988868,0.0002431809,0.00023195171,0.00017824453,0.0001626203,0.00029715415],"domain_scores_gemma":[0.9995557,0.00011795551,0.000029342082,0.000105384155,0.00008348572,0.00010812382],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023171448,0.000098333534,0.0001890073,0.000018472361,0.00069667783,0.000045352954,0.00016429351,0.000094829775,0.00006977966],"category_scores_gemma":[0.00004186293,0.000088214416,0.000043601027,0.00007761892,0.00011090099,0.00026865513,0.0000061438113,0.00014882901,1.7439422e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00055733527,0.0011974835,0.24495088,0.0007274269,0.000028659539,0.0000056572244,0.65275514,6.2276064e-7,0.00006030978,0.0076075112,0.00016333356,0.09194564],"study_design_scores_gemma":[0.000539847,0.000088667744,0.7678971,0.000020825579,0.000007298143,1.6818687e-7,0.22737382,0.000044678745,0.00002118092,0.00047820812,0.003382447,0.00014569542],"about_ca_topic_score_codex":0.03366985,"about_ca_topic_score_gemma":0.2880731,"teacher_disagreement_score":0.5229463,"about_ca_system_score_codex":0.0010480453,"about_ca_system_score_gemma":0.00035016212,"threshold_uncertainty_score":0.972765},"labels":[],"label_agreement":null},{"id":"W982620210","doi":"10.2747/0272-3638.7.6.497","title":"MOBILITY INTENTION AND SUBSEQUENT RELOCATION","year":2013,"lang":"en","type":"article","venue":"Urban Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Queen's University","funders":"","keywords":"Relocation; Disadvantaged; Conceptualization; Spouse; Psychology; Sample (material); Demographic economics; Sociology; Quality of life (healthcare); Social psychology; Gerontology; Economic growth; Economics; Medicine","score_opus":0.013386205559404932,"score_gpt":0.2533068477799146,"score_spread":0.23992064222050966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W982620210","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99041945,0.00042194725,0.00021385998,0.00073324784,0.00015658254,0.00038989325,0.0000021783273,0.00010670169,0.00755613],"genre_scores_gemma":[0.9992917,0.00005323616,0.00015785996,0.00006969339,0.00006585211,0.000047924066,0.000012676827,0.0000041509193,0.00029691518],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99913836,0.00006990445,0.00016595432,0.00023687696,0.00018696355,0.000201939],"domain_scores_gemma":[0.9995063,0.000026469994,0.000053083244,0.00016696418,0.00013304238,0.00011416291],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031872932,0.000073599105,0.00008597917,0.00008241133,0.0002867071,0.000100662175,0.00011363582,0.000071112154,0.00046523384],"category_scores_gemma":[0.000033923814,0.00006810758,0.0000728831,0.00031531908,0.0003945846,0.0004699014,0.000012017822,0.00008101745,0.000032026917],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000026204773,0.00005315977,0.9926955,0.000009438836,0.0000060629723,2.1005158e-7,0.0010752379,6.136524e-8,0.00006248603,0.0011904683,0.0005583083,0.004346453],"study_design_scores_gemma":[0.00008695068,0.000014867626,0.9847088,0.00000734219,0.000010251466,5.5982227e-8,0.00059962156,0.000013488979,0.000039301423,0.009704377,0.0047295084,0.00008547784],"about_ca_topic_score_codex":0.015564293,"about_ca_topic_score_gemma":0.0017547106,"teacher_disagreement_score":0.013809582,"about_ca_system_score_codex":0.000022810194,"about_ca_system_score_gemma":0.000022550457,"threshold_uncertainty_score":0.9909912},"labels":[],"label_agreement":null}]}